dict:\\n ibm_filename = \\\"IBM.json\\\"\\n complete_path = os.path.join(prefix, ibm_filename)\\n json_object = s3_resource.Object(bucket_name, complete_path)\\n file_content = json_object.get()['Body'].read().decode('utf-8')\\n json_content = json.loads(file_content)\\n return json_content\",\n \"def read_object_metadata(self, bucket_name, object_name, metadata_name):\\n\\n data, done = h3lib.read_object_metadata(self._handle, bucket_name, object_name, metadata_name, self._user_id)\\n if data is None:\\n data = b''\\n return H3Bytes(data, done=done)\",\n \"def get_google_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\\n googl_filename = \\\"GOOGL.json\\\"\\n complete_path = os.path.join(prefix, googl_filename)\\n json_object = s3_resource.Object(bucket_name, complete_path)\\n file_content = json_object.get()['Body'].read().decode('utf-8')\\n json_content = json.loads(file_content)\\n return json_content\",\n \"def does_bucket_exists( bucket_name ):\\n bucket_exists_status = { 'status':False, 'error_message':'' }\\n try:\\n s3 = boto3.resource('s3')\\n s3.meta.client.head_bucket( Bucket = bucket_name )\\n bucket_exists_status['status'] = True\\n except ClientError as e:\\n if e.response['Error']['Code'] == \\\"404\\\":\\n bucket_exists_status['status'] = False\\n bucket_exists_status['error_message'] = str(e)\\n else:\\n # logger.error('ERROR: {0}'.format( str(e) ) )\\n bucket_exists_status['status'] = False\\n bucket_exists_status['error_message'] = str(e)\\n return bucket_exists_status\",\n \"def list_objects(self, s3_prefix_path):\\n bucket_name, prefix = S3Util.get_bucket_and_key(s3_prefix_path)\\n bucket = self.s3_resource.Bucket(bucket_name)\\n return [\\\"s3://\\\" + bucket_name + \\\"/\\\" + key.key for key in bucket.objects.filter(Prefix=prefix)]\",\n \"def get_file_s3(bucket, key):\\n \\n client = boto3.client('s3')\\n return client.get_object(Bucket=bucket, Key=key)['Body'].read().decode('utf-8')\",\n \"def bucket_exists(self, bucket_name):\\n self.s3_resource.Bucket(bucket_name)\\n exists = True\\n try:\\n self.s3_resource.meta.client.head_bucket(Bucket=bucket_name)\\n except botocore.exceptions.ClientError as e:\\n # If a client error is thrown, then check that it was a 404 error.\\n # If it was a 404 error, then the bucket does not exist.\\n error_code = e.response['Error']['Code']\\n if error_code == '404' or error_code == '403':\\n exists = False\\n return exists\",\n \"def does_bucket_exist(\\n bucket_name: str, region: str = \\\"us-east-1\\\", session: Optional[boto3.Session] = None\\n) -> bool:\\n s3_resource = _get_resource(session, region)\\n try:\\n s3_resource.meta.client.head_bucket(Bucket=bucket_name)\\n return True\\n except ClientError as exc:\\n if exc.response[\\\"Error\\\"][\\\"Message\\\"] == \\\"Not Found\\\":\\n LOGGER.info('bucket \\\"%s\\\" does not exist', bucket_name)\\n return False\\n if exc.response[\\\"Error\\\"][\\\"Message\\\"] == \\\"Forbidden\\\":\\n LOGGER.exception(\\n 'access denied for bucket \\\"%s\\\" (permissions?)', bucket_name\\n )\\n raise\\n return False\",\n \"def _get_resource(\\n session: Optional[boto3.Session] = None, region: Optional[str] = None\\n) -> S3ServiceResource:\\n return (\\n session.resource(\\\"s3\\\") if session else boto3.resource(\\\"s3\\\", region_name=region)\\n )\",\n \"def test_get_object_meta_data(self):\\n options = dict()\\n options[\\\"private\\\"] = \\\"This is private.\\\"\\n err = None\\n try:\\n self.bos.put_object_from_string(self.BUCKET,\\n self.KEY,\\n \\\"This is a string.\\\",\\n user_metadata=options)\\n except BceServerError as e:\\n err = e\\n finally:\\n self.assertIsNone(err)\\n\\n err = None\\n try:\\n response = self.bos.get_object_meta_data(self.BUCKET, self.KEY)\\n except BceServerError as e:\\n err = e\\n finally:\\n self.assertIsNone(err)\\n self.check_headers(response)\\n self.assertEqual(response.metadata.etag, '13562b471182311b6eea8d241103e8f0')\\n self.assertEqual(int(response.metadata.content_length), len(\\\"This is a string.\\\"))\\n self.assertEqual(response.metadata.x_amz_meta_private, \\\"This is private.\\\")\",\n \"def download_object(self, path, dest):\\n bucket, key = self.split_name(path)\\n if os.path.isdir(dest):\\n dest = os.path.join(dest, os.path.basename(key))\\n assert os.path.exists(os.path.dirname(dest)), \\\\\\n \\\"Destination directory does not exist: {}\\\".format(os.path.dirname(dest))\\n try:\\n self.s3_resource.Bucket(bucket).download_file(key, dest)\\n except botocore.exceptions.ClientError as e:\\n if e.response['Error']['Code'] == \\\"404\\\" or e.response['Error']['Code'] == \\\"403\\\" or \\\\\\n e.response['Error']['Code'] == 'NoSuchKey':\\n print(\\\"The object does not exist. {}\\\".format(path))\\n dest = False\\n elif e.response['Error']['Code'] == 'NoSuchBucket':\\n print(\\\"The Bucket not exist. {}\\\".format(bucket))\\n dest = False\\n else:\\n raise e\\n return dest\",\n \"def get_objects(self, bucket, s3_client=None):\\n\\n try:\\n all_objects = s3_client.list_objects_v2(Bucket=bucket)\\n except botocore.exceptions.EndpointConnectionError:\\n logging.error(\\\"Couldn't connect to an S3 endpoint. If you're using an S3 compatible provider other than AWS, remember to set --s3-endpoint-url\\\")\\n sys.exit(1)\\n\\n if 'Contents' in all_objects.keys():\\n all_objects = [ k['Key'] for k in [ obj for obj in all_objects['Contents'] ]] # pylint: disable=unnecessary-comprehension\\n else:\\n all_objects = []\\n\\n return all_objects\",\n \"def get_size(self, bucket, object):\\n self.log.info('Checking the file size of object: %s in bucket: %s', object, bucket)\\n service = self.get_conn()\\n try:\\n response = service.objects().get(\\n bucket=bucket,\\n object=object\\n ).execute()\\n\\n if 'name' in response and response['name'][-1] != '/':\\n # Remove Directories & Just check size of files\\n size = response['size']\\n self.log.info('The file size of %s is %s', object, size)\\n return size\\n else:\\n raise ValueError('Object is not a file')\\n except errors.HttpError as ex:\\n if ex.resp['status'] == '404':\\n raise ValueError('Object Not Found')\",\n \"def download_file_from_s3_public_bucket(bucket, object, output_file):\\n botocore_config = Config(signature_version=UNSIGNED)\\n s3_client = boto3.client(\\\"s3\\\", config=botocore_config)\\n s3_client.download_file(bucket, object, output_file)\",\n \"def head_object(Bucket=None, IfMatch=None, IfModifiedSince=None, IfNoneMatch=None, IfUnmodifiedSince=None, Key=None, Range=None, VersionId=None, SSECustomerAlgorithm=None, SSECustomerKey=None, SSECustomerKeyMD5=None, RequestPayer=None, PartNumber=None):\\n pass\",\n \"def _s3_stash(self):\\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\\n bucketpath = BUCKET.strip(\\\"/\\\")\\n bucketbase = BUCKET.split(\\\"/\\\")[0]\\n parts = urlparse.urlsplit(s3_url)\\n mimetype = 'application/xml' \\n \\n conn = boto.connect_s3()\\n\\n try:\\n bucket = conn.get_bucket(bucketbase)\\n except boto.exception.S3ResponseError:\\n bucket = conn.create_bucket(bucketbase)\\n self.logger.info(\\\"Created S3 bucket {}\\\".format(bucketbase))\\n\\n if not(bucket.get_key(parts.path)):\\n key = bucket.new_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"created {0}\\\".format(s3_url)\\n self.logger.info(msg)\\n else:\\n key = bucket.get_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"re-uploaded {}\\\".format(s3_url)\\n self.logger.info(msg)\",\n \"def downloadObject(bucket:str, object:str, region:str, path:Path) -> None:\\n client = boto3.client('s3', region_name=region)\\n try:\\n with open(str(path), 'wb') as data:\\n client.download_fileobj(Bucket=bucket, Object=object, Data=data)\\n except Exception as e:\\n raise ObjectDownloadError(e)\",\n \"def get_readme_object_key(self):\\n readme_key = None\\n prefix = self.build_s3_key('')\\n bucket_name = app.config['S3_BUCKET_NAME']\\n s3_client = app.config['S3']\\n response = s3_client.list_objects_v2(Bucket=bucket_name, Prefix=prefix)\\n for content in response['Contents']:\\n if 'readme' in content['Key'].lower():\\n readme_key = content['Key']\\n return readme_key\",\n \"def load_archives_from_s3(self):\\n s3_bucket = S3Backend(self.conf).bucket\\n try:\\n k = Key(s3_bucket)\\n k.key = self.backup_key\\n\\n return json.loads(k.get_contents_as_string())\\n except S3ResponseError, exc:\\n log.error(exc)\\n return {}\",\n \"def get_s3_object_last_modified(bucket_name: str, object_key: str, wait=True) -> Union[datetime, None]:\\n try:\\n bucket = _get_s3_bucket(bucket_name)\\n s3_object = bucket.Object(object_key)\\n if wait:\\n s3_object.wait_until_exists()\\n timestamp = s3_object.last_modified\\n logger.debug(\\\"Object in 's3://%s/%s' was last modified %s\\\", bucket_name, object_key, timestamp)\\n except botocore.exceptions.WaiterError:\\n logger.debug(\\\"Waiting for object in 's3://%s/%s' failed\\\", bucket_name, object_key)\\n timestamp = None\\n except botocore.exceptions.ClientError as exc:\\n error_code = exc.response[\\\"Error\\\"][\\\"Code\\\"]\\n if error_code == \\\"404\\\":\\n logger.debug(\\\"Object 's3://%s/%s' does not exist\\\", bucket_name, object_key)\\n timestamp = None\\n else:\\n logger.warning(\\\"Failed to find 's3://%s/%s' (%s)\\\", bucket_name, object_key, error_code)\\n raise\\n return timestamp\",\n \"def test_s3_bucket_objects_correct(self) -> None:\\n if self.prod_env:\\n bucket_name = 'saints-xctf-credentials-prod'\\n else:\\n bucket_name = 'saints-xctf-credentials-dev'\\n\\n contents = self.s3.list_objects(Bucket=bucket_name).get('Contents')\\n self.assertTrue(all([\\n len(contents) == 4,\\n contents[0].get('Key') == 'api/apicred.php',\\n contents[1].get('Key') == 'api/cred.php',\\n contents[2].get('Key') == 'date.js',\\n contents[3].get('Key') == 'models/clientcred.php'\\n ]))\",\n \"def _s3_get_file(url):\\n try:\\n return S3().get_contents_from_url(url)\\n except Exception as e:\\n raise ScrBaseException(\\\"Could not load file from {0}: {1}\\\".format(url, e))\",\n \"def get_object(self, path: str) -> Object:\\n objects_found = [item for item in self._objects.values() if item.path == path]\\n if len(objects_found) == 0:\\n raise ClientError(\\n \\\"ObjectNotFoundException\\\", f\\\"Object with id={path} not found\\\"\\n )\\n return objects_found[0]\",\n \"def exists(self):\\r\\n return bool(self.bucket.lookup(self.name))\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7691831","0.73644066","0.70595527","0.7028458","0.695012","0.6923213","0.68887043","0.6855875","0.6816487","0.6746061","0.6737915","0.67176014","0.67143047","0.66835445","0.66181076","0.6560689","0.65342665","0.6528971","0.6519632","0.647861","0.64766073","0.64598745","0.6422875","0.6420232","0.64036715","0.63969266","0.63915336","0.63816905","0.6373449","0.63477725","0.62967175","0.62606686","0.6253096","0.62501657","0.624996","0.6245924","0.6216968","0.6210814","0.6204535","0.6186511","0.61769426","0.6176696","0.61711526","0.61711526","0.6150989","0.6148219","0.61452484","0.6127705","0.6123349","0.6118038","0.6115522","0.60527706","0.6037103","0.60363513","0.6025214","0.6024296","0.6017942","0.6002783","0.59991914","0.5985898","0.5966628","0.59587824","0.594383","0.5941204","0.5932859","0.59283733","0.5920093","0.591218","0.59115756","0.5910225","0.5907583","0.589219","0.5892024","0.58872163","0.5876448","0.58685315","0.58672136","0.58671707","0.5863059","0.5856203","0.58509284","0.58411837","0.58393127","0.58381957","0.58358514","0.5832979","0.5832537","0.58234674","0.5818547","0.57975775","0.5791933","0.577632","0.5775942","0.5773507","0.57722694","0.5766135","0.5761486","0.5759659","0.5759517","0.57554585"],"string":"[\n \"0.7691831\",\n \"0.73644066\",\n \"0.70595527\",\n \"0.7028458\",\n \"0.695012\",\n \"0.6923213\",\n \"0.68887043\",\n \"0.6855875\",\n \"0.6816487\",\n \"0.6746061\",\n \"0.6737915\",\n \"0.67176014\",\n \"0.67143047\",\n \"0.66835445\",\n \"0.66181076\",\n \"0.6560689\",\n \"0.65342665\",\n \"0.6528971\",\n \"0.6519632\",\n \"0.647861\",\n \"0.64766073\",\n \"0.64598745\",\n \"0.6422875\",\n \"0.6420232\",\n \"0.64036715\",\n \"0.63969266\",\n \"0.63915336\",\n \"0.63816905\",\n \"0.6373449\",\n \"0.63477725\",\n \"0.62967175\",\n \"0.62606686\",\n \"0.6253096\",\n \"0.62501657\",\n \"0.624996\",\n \"0.6245924\",\n \"0.6216968\",\n \"0.6210814\",\n \"0.6204535\",\n \"0.6186511\",\n \"0.61769426\",\n \"0.6176696\",\n \"0.61711526\",\n \"0.61711526\",\n \"0.6150989\",\n \"0.6148219\",\n \"0.61452484\",\n \"0.6127705\",\n \"0.6123349\",\n \"0.6118038\",\n \"0.6115522\",\n \"0.60527706\",\n \"0.6037103\",\n \"0.60363513\",\n \"0.6025214\",\n \"0.6024296\",\n \"0.6017942\",\n \"0.6002783\",\n \"0.59991914\",\n \"0.5985898\",\n \"0.5966628\",\n \"0.59587824\",\n \"0.594383\",\n \"0.5941204\",\n \"0.5932859\",\n \"0.59283733\",\n \"0.5920093\",\n \"0.591218\",\n \"0.59115756\",\n \"0.5910225\",\n \"0.5907583\",\n \"0.589219\",\n \"0.5892024\",\n \"0.58872163\",\n \"0.5876448\",\n \"0.58685315\",\n \"0.58672136\",\n \"0.58671707\",\n \"0.5863059\",\n \"0.5856203\",\n \"0.58509284\",\n \"0.58411837\",\n \"0.58393127\",\n \"0.58381957\",\n \"0.58358514\",\n \"0.5832979\",\n \"0.5832537\",\n \"0.58234674\",\n \"0.5818547\",\n \"0.57975775\",\n \"0.5791933\",\n \"0.577632\",\n \"0.5775942\",\n \"0.5773507\",\n \"0.57722694\",\n \"0.5766135\",\n \"0.5761486\",\n \"0.5759659\",\n \"0.5759517\",\n \"0.57554585\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.65832025"},"document_rank":{"kind":"string","value":"15"}}},{"rowIdx":91289,"cells":{"query":{"kind":"string","value":"Upload a ZIP file to S3 for use by Lambda. The key used for the upload will be unique based on the checksum of the contents. No changes will be made if the contents in S3 already match the expected contents."},"document":{"kind":"string","value":"def _upload_code(\n s3_conn: S3Client,\n bucket: str,\n prefix: str,\n name: str,\n contents: Union[bytes, str],\n content_hash: str,\n payload_acl: ObjectCannedACLType,\n) -> Code:\n LOGGER.debug(\"ZIP hash: %s\", content_hash)\n key = f\"{prefix}lambda-{name}-{content_hash}.zip\"\n\n if _head_object(s3_conn, bucket, key):\n LOGGER.info(\"object already exists; not uploading: %s\", key)\n else:\n LOGGER.info(\"uploading object: %s\", key)\n s3_conn.put_object(\n Bucket=bucket,\n Key=key,\n Body=contents.encode() if isinstance(contents, str) else contents,\n ContentType=\"application/zip\",\n ACL=payload_acl,\n )\n\n return Code(S3Bucket=bucket, S3Key=key)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def put(self, path: str, filename: str) -> None:\n\n payload_hash, content_md5, length = _hash(path)\n\n now = datetime.datetime.utcnow()\n timestamp = now.strftime('%Y%m%dT%H%M%SZ')\n headers = [\n ('Connection', 'keep-alive'),\n ('Content-Length', str(length)),\n ('Content-MD5', content_md5),\n ('Content-Type', 'application/zip'),\n ('Date', now.strftime('%a, %d %b %Y %H:%M:%S GMT')),\n ('Host', '%s.s3.amazonaws.com' % self.bucket),\n ('x-amz-content-sha256', payload_hash),\n ('x-amz-date', timestamp),\n ]\n signed_headers = ';'.join(header[0].lower() for header in headers)\n canonical_request = 'PUT\\n%s\\n\\n%s\\n\\n%s\\n%s' % (filename, '\\n'.join(\n ('%s:%s' % (header[0].lower(), header[1])\n for header in headers)), signed_headers, payload_hash)\n logging.debug('canonical request %r',\n canonical_request.encode('utf-8'))\n string_to_sign = 'AWS4-HMAC-SHA256\\n%s\\n%s\\n%s' % (\n timestamp, self.scope,\n hashlib.sha256(canonical_request.encode('utf-8')).hexdigest())\n logging.debug('string to sign %r', string_to_sign.encode('utf-8'))\n\n signature = hmac.new(self.signing_key,\n string_to_sign.encode('utf-8'),\n digestmod='sha256').hexdigest()\n headers.append((\n 'Authorization',\n 'AWS4-HMAC-SHA256 Credential=%s/%s,SignedHeaders=%s,Signature=%s' %\n (self.aws_access_key, self.scope, signed_headers, signature)))\n with open(path, 'rb') as file_stream:\n if not self.conn:\n self.conn = http.client.HTTPSConnection('%s.s3.amazonaws.com' %\n self.bucket)\n try:\n self.conn.request('PUT',\n filename,\n file_stream,\n headers=dict(headers))\n res = self.conn.getresponse()\n payload = res.read()\n except (http.client.BadStatusLine, http.client.ResponseNotReady,\n http.client.CannotSendRequest):\n self.conn.close()\n raise\n if res.status != 200:\n raise Exception(payload.decode('utf-8'))","def _upload_s3(self, filename, bucket, objectKey):\n return s3_client.upload_file(filename, bucket, objectKey)","def put_zipped_artifact(s3, src_dir, artifact):\n bucket = artifact['location']['s3Location']['bucketName']\n key = artifact['location']['s3Location']['objectKey']\n with tempfile.NamedTemporaryFile() as tmp_file:\n zip_name = shutil.make_archive(tmp_file.name, 'zip', src_dir)\n s3.upload_file(zip_name, bucket, key)","def upload_to_s3():\n\n # get the json password file\n pwd_file = open(PWD_FILE, mode='rb')\n pwd_list = json.load(pwd_file) # calls read() on file object\n\n # only upload if json password file not empty\n if len(pwd_list) > 0:\n # reset file object to beginning\n pwd_file.seek(0)\n\n # setup s3 connection\n s3 = boto3.resource('s3', region_name=Config.connection['region_name'],\n aws_access_key_id=Config.connection['aws_access_key'],\n aws_secret_access_key=Config.connection['aws_secret_key'])\n\n s3_object_path = Config.s3['key_prefix'] + PWD_FILE\n s3.Bucket(Config.s3['bucket_name']).put_object(Key=s3_object_path, Body=pwd_file)","def upload_to_s3(file_contents: bytes, path: str, content_type: str = None, tags: dict = None):\n client = S3BucketClient()\n client.upload(\n file_contents=file_contents,\n path=path,\n content_type=content_type,\n tags=tags,\n )","def upload(filename, bucket):\n print(\"Uploading {} to S3\".format(filename.lower().replace('_', '-')))\n url = \"https://s3.ca-central-1.amazonaws.com/{}/{}\".format(bucket,\n filename.lower().replace('_', '-'))\n with open('{}/{}'.format(WORK_DIR, filename), 'rb') as data:\n requests.put(url, data=data)","def upload_s3_file(key, bucket, filename):\n s3_client = boto3.client('s3')\n s3_client.upload_file(filename, bucket, key)\n return True","def upload_to_s3(site, bucket, directory=None, files=None, prefix=None):\n if bucket is None:\n print red('Error: Bucket must be specified.')\n return\n if directory is None and files is None:\n print red('Error: Directory and/or files must be specified.')\n return\n # Setup boto\n import boto\n from boto.s3.bucket import Bucket\n from boto.s3.key import Key\n import mimetypes\n import fnmatch\n\n setup_aws_access_key(site)\n\n # Connect to S3\n c = boto.connect_s3()\n b = Bucket(c, bucket)\n\n # Fix the prefix\n # prefix itself shouldn't have a / prefix itself but should end with /\n if prefix:\n prefix = prefix.lstrip('/')\n if prefix and not prefix.endswith('/'):\n prefix = prefix + '/'\n\n def __upload(key, filename):\n k = Key(b)\n k.key = key\n headers = {}\n content_type = mimetypes.guess_type(filename)[0]\n if site.has_key('webapp') and site['webapp'].get('cache_control'):\n for pattern in site['webapp']['cache_control']:\n if fnmatch.fnmatch(filename, pattern):\n headers['Cache-Control'] = site['webapp']['cache_control'][pattern]\n break\n if site.has_key('webapp') and site['webapp'].get('gzip_types') and content_type in site['webapp']['gzip_types']:\n from gzip import GzipFile\n from StringIO import StringIO\n # Need to specify content_type when uploading from a string!\n headers['Content-Type'] = content_type\n headers['Content-Encoding'] = 'gzip'\n s = StringIO()\n g = GzipFile(fileobj=s, mode='wb')\n with open(filename, 'rb') as f:\n g.write(f.read())\n g.close()\n k.set_contents_from_string(s.getvalue(), headers)\n else:\n k.set_contents_from_filename(filename, headers)\n\n if files:\n # Upload individual files\n if directory:\n keys = [filename.lstrip('/') for filename in files]\n files = [os.path.join(directory, filename) for filename in files]\n else:\n keys = [os.path.split(filename)[1] for filename in files]\n for i, filename in enumerate(files):\n print 'Uploading %s' % keys[i]\n if prefix:\n key = prefix + keys[i]\n else:\n key = keys[i]\n __upload(key, filename)\n elif directory:\n # Upload an entire directory\n def __upload_dir(arg, dirname, names):\n # arg is the starting directory\n for name in names:\n filename = os.path.join(dirname, name)\n if not os.path.isdir(filename) and not os.path.islink(filename) and not name.startswith('.'):\n key = filename[len(arg):]\n if key.startswith('/'):\n key = key[1:]\n if prefix:\n key = prefix + key\n print 'Uploading %s' % key\n __upload(key, filename)\n os.path.walk(directory, __upload_dir, directory)","def upload_file_to_s3(self, file_data):\r\n\r\n file_key = file_data.name + datetime.now(UTC).strftime(\r\n xqueue_interface.dateformat\r\n )\r\n\r\n file_data.seek(0)\r\n s3_public_url = upload_to_s3(\r\n file_data, file_key, self.s3_interface\r\n )\r\n\r\n return s3_public_url","def pushToS3()-> None:\n logging.info(f\"Connecting to s3 {getTime()}\")\n s3 = boto3.client(\"s3\",endpoint_url=\"http://localhost:4566\")\n if(not s3.head_bucket(Bucket=\"demo\")):\n s3.create_bucket(Bucket='demo')\n try:\n logging.info(f\"Uploading to s3 {getTime()}\")\n s3.upload_file(\"result.csv\",\"demo\",\"result.csv\")\n logging.info(f\"Finished uploding to s3 {getTime()}\")\n except ClientError as e:\n logging.error(f\"Error uploading file to S3 {getTime()}\")","def _s3_stash(self):\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\n bucketpath = BUCKET.strip(\"/\")\n bucketbase = BUCKET.split(\"/\")[0]\n parts = urlparse.urlsplit(s3_url)\n mimetype = 'application/xml' \n \n conn = boto.connect_s3()\n\n try:\n bucket = conn.get_bucket(bucketbase)\n except boto.exception.S3ResponseError:\n bucket = conn.create_bucket(bucketbase)\n self.logger.info(\"Created S3 bucket {}\".format(bucketbase))\n\n if not(bucket.get_key(parts.path)):\n key = bucket.new_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"created {0}\".format(s3_url)\n self.logger.info(msg)\n else:\n key = bucket.get_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"re-uploaded {}\".format(s3_url)\n self.logger.info(msg)","def upload_file(file_name, s3_key):\n # Upload the file\n s3_connection = boto.connect_s3(aws_access_key_id, aws_secret_access_key)\n bucket = s3_connection.get_bucket(predator_bucket_name)\n try:\n key = boto.s3.key.Key(bucket, s3_key)\n key.set_contents_from_filename(file_name)\n except ClientError as e:\n logging.error(e)\n return False\n return True","def upload_to_s3(self, name, file_name):\n f = open(file_name, \"r\")\n path = \"cluster/\" + name + \"/\" + os.path.basename(file_name)\n bucket = self.s3.get_bucket(self.__secrets_bucket__)\n k = Key(bucket)\n k.name = path\n\n try:\n k.set_contents_from_file(f)\n except Exception as e:\n print \"[-] Error uploading file to s3\"\n print e\n\n print \"[+] Uploaded {0}\".format(\"s3://\" + self.__secrets_bucket__ + \"/\" + path)\n\n return","def upload_from_path_to_s3(file_path):\n bucket_name = \"alp-reports-lambda\"\n environment = \"dev\" if os.environ.get('LOCAL') else \"prod\"\n object_key = f\"{environment}/835/{file_path.split('/')[-1]}\"\n\n s3 = boto3.resource('s3')\n s3.Object(bucket_name, object_key).upload_file(file_path, ExtraArgs={'ACL': 'public-read'})\n\n return f\"https://s3.amazonaws.com/{bucket_name}/{object_key}\"","def upload_file(local_path, s3_path):\n with open(local_path, 'rb') as binary_data:\n s3.Bucket(bucket_name).put_object(Key=s3_path, Body=binary_data)","def store_to_s3():\n\n try:\n # establish aws/s3 connection\n s3 = boto3.client('s3',\n aws_access_key_id=ACCESS_KEY,\n aws_secret_access_key=SECRET_KEY\n )\n logger.info(\"S3 connection established!\")\n except Exception as e:\n logger.error('Fail to connect to aws s3. Please check your credentials!')\n logger.error(e)\n else:\n try:\n # upload local file to S3 bucket\n logger.info(\"Uploading {} to {} bucket as {}\".format(config.Local_File_To_Upload,\n config.Bucket_Name,\n config.S3_Filename))\n s3.upload_file(config.Local_File_To_Upload,\n config.Bucket_Name,\n config.S3_Filename)\n logger.info('File successfully uploaded to S3 bucket!')\n except FileNotFoundError:\n logger.error('File not found, pleas check the file path.')\n except Exception as e:\n logger.error(e)","def upload_to_s3(file_name, bucket, key): \n s3 = boto3.resource('s3') \n try:\n s3.meta.client.upload_file(file_name, bucket, key)\n print(\"s3 upload success -- uploaded \" + file_name + \" to the bucket: \" + bucket)\n except ClientError as e:\n logging.error(e)\n return False\n print(\"s3 upload error occurs\", e)\n return True","def upload(\n bucket: str, key: str, filename: str, session: Optional[boto3.Session] = None\n) -> None:\n s3_client = _get_client(session)\n LOGGER.info(\"uploading %s to s3://%s/%s...\", filename, bucket, key)\n s3_client.upload_file(Filename=filename, Bucket=bucket, Key=key)","def upload(jsonfiles):\n # clear S3 Bucket\n bucket = S3Bucket()\n bucket.clear()\n for jsonfile in jsonfiles:\n filename = os.path.basename(jsonfile)\n key = build_key(filename)\n logging.info(\"%s %s\", filename, key)\n # store json in S3 object\n bucket.store(key, jsonfile)","def upload_object(self, file_path, s3_path):\n logging.info(\"Uploading file to \\\"{}\\\" to S3\".format(s3_path))\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\n self.s3_resource.Bucket(bucket_name).upload_file(file_path, key)","def upload_package(self, filename=None):\n logger.info(\"Uploading the package to S3\")\n s3f = S3FunctionUploader(self.function_config['Code']['S3Bucket'])\n self.s3_filename = path.join(\n self.function_config['Code']['S3KeyPath'],\n path.basename(filename or self.local_filename)\n )\n s3f.upload(filename or self.local_filename,\n self.s3_filename)","def upload_project(self, workflow_snapshot_id: Text, project_path: Text) -> Text:\n with tempfile.TemporaryDirectory() as temp_dir:\n zip_file_name = 'workflow_{}_project.zip'.format(workflow_snapshot_id)\n temp_dir_path = Path(temp_dir)\n zip_file_path = temp_dir_path / zip_file_name\n make_dir_zipfile(project_path, zip_file_path)\n with open(zip_file_path, 'rb') as f:\n self.s3_client.upload_fileobj(f, self.bucket_name, zip_file_name)\n return zip_file_name","def upload(self, bucket_name, key_name, fname):\n bucket = self.s3_.get_bucket(bucket_name)\n key = boto.s3.key.Key(bucket)\n with open(fname, 'rb') as infile:\n key.key = key_name\n return key.set_contents_from_file(infile)","def save_to_s3(bucket, path, data, compress=False):\n bucket = get_bucket(bucket)\n\n key = Key(bucket)\n key.key = path\n logger.debug(\"Uploading to %s\", key.key)\n\n if compress:\n mock_file = BytesIO()\n gzip_obj = gzip.GzipFile(filename='gzipped_file', mode='wb', fileobj=mock_file)\n if isinstance(data, str):\n data = data.encode('utf-8')\n gzip_obj.write(data)\n gzip_obj.close()\n data = mock_file.getvalue()\n\n key.set_contents_from_string(data)","def upload_data_to_s3(data: dict, bucket_name: str, object_key: str) -> None:\n uploader = S3Uploader(bucket_name)\n with tempfile.NamedTemporaryFile(mode=\"w+\") as local_file:\n json.dump(data, local_file, cls=FancyJsonEncoder, indent=\" \", sort_keys=True)\n local_file.write(\"\\n\")\n local_file.flush()\n uploader(local_file.name, object_key)","def _upload_file_to_aws(aws_upload_details):\n # Step 1: get the request signed\n sig_uri = aws_upload_details['signature']\n\n now = dt.datetime.utcnow()\n expires = now + dt.timedelta(hours=1)\n now_ts = timegm(now.timetuple())\n key = 'data_imports/%s.%s' % (filename, now_ts)\n\n payload = {}\n payload['expiration'] = expires.isoformat() + 'Z'\n payload['conditions'] = [\n {'bucket': aws_upload_details['aws_bucket_name']},\n {'Content-Type': 'text/csv'},\n {'acl': 'private'},\n {'success_action_status': '200'},\n {'key': key}\n ]\n\n sig_result = requests.post(main_url + sig_uri,\n headers=upload_header,\n data=json.dumps(payload))\n if sig_result.status_code != 200:\n msg = \"Something went wrong with signing document.\"\n raise RuntimeError(msg)\n else:\n sig_result = sig_result.json()\n\n # Step 2: upload the file to S3\n upload_url = \"http://%s.s3.amazonaws.com/\" % (aws_upload_details['aws_bucket_name'])\n\n # s3 expects multipart form encoding with files at the end, so this\n # payload needs to be a list of tuples; the requests library will encode\n # it property if sent as the 'files' parameter.\n s3_payload = [\n ('key', key),\n ('AWSAccessKeyId', aws_upload_details['aws_client_key']),\n ('Content-Type', 'text/csv'),\n ('success_action_status', '200'),\n ('acl', 'private'),\n ('policy', sig_result['policy']),\n ('signature', sig_result['signature']),\n ('file', (filename, open(upload_filepath, 'rb')))\n ]\n\n result = requests.post(upload_url,\n files=s3_payload)\n\n if result.status_code != 200:\n msg = \"Something went wrong with the S3 upload: %s \" % result.reason\n raise RuntimeError(msg)\n\n # Step 3: Notify SEED about the upload\n completion_uri = aws_upload_details['upload_complete']\n completion_payload = {\n 'import_record': upload_dataset_id,\n 'key': key,\n 'source_type': upload_datatype\n }\n return requests.post(main_url + completion_uri,\n headers=upload_header,\n data=completion_payload)","def test_put_file(self):\n self.prepare_uploads()\n backend = BackendS3(**self.config)\n uploads = self.upload_path\n src = os.path.join(uploads, 'demo-test.tar.gz')\n id = utils.generate_id('demo-test.tar.gz')\n backend.put(src, id)\n path = '/'.join(backend.id_to_path(id)) + '/demo-test.tar.gz'\n self.assertTrue(backend.exists(path))","def upload_file_s3(file_name, bucket):\n\n # If S3 object_name was not specified, use file_name \n try:\n response = s3_client.upload_file(file_name,\n bucket, \n file_name.replace('../',''))\n print(\"Uploaded \" + file_name)\n except ClientError as e:\n print(\"Failed to upload \" + file_name)\n logging.error(e)\n return False\n return True","def upload_to_aws(local_file, bucket, s3_file, access_key, secret_key):\n s3 = boto3.client('s3', aws_access_key_id=access_key,\n aws_secret_access_key=secret_key)\n \n try:\n s3.upload_file(local_file, bucket, s3_file)\n print(f'Upload of {local_file} to {bucket} as {s3_file} successful.')\n return True\n except FileNotFoundError:\n print(f'File {local_file} not found.')\n return False\n except NoCredentialsError:\n print('Credentials invalid or not available.')\n return False","def _upload(self, errors):\n if self.backup_bucket is None:\n return\n\n try:\n with open(\"%s/%s.tar.gz\"%(self.backup_path, self.name), 'r+') as f:\n s3upload.upload_to_s3(f,\n self.backup_bucket,\n \"%s/%s.tar.gz\"%(self.backup_id, self.name))\n\n # Cleaning up resources, since the upload was successful\n run(\"rm -f %s/%s.tar.gz\"%(self.backup_path, self.name))\n except Exception as e:\n logging.exception(e)\n errors.put(Exception(\"Error uploading %s server backup to S3\" % self.name))\n traceback.print_exc()","def sync_to_bucket(s3_url,\n region='eu-west-1',\n profile_name=None):\n\n parsed_s3_url = urlparse.urlparse(s3_url);\n\n bucket_name = parsed_s3_url.hostname;\n key_prefix = parsed_s3_url.path;\n if key_prefix[0] == '/':\n key_prefix = key_prefix[1:]\n if key_prefix[-1] != '/':\n key_prefix = key_prefix + '/'\n\n def inner(fn_inner):\n \"\"\"\n Decorator function function sent in should be having signature\n func(None,None, XmlDoc) and should yield JSON document one for\n each file that should be persisted to S3\n \"\"\"\n\n def handler(event, context):\n \"\"\"\n The AWS Lambda Entry Point\n \"\"\"\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');\n\n return handler\n\n return inner","def upload_to_s3(bucket_name, sourceDir):\n try:\n client = boto3.client('s3')\n resource = boto3.resource('s3')\n except ClientError as err:\n print(\"Failed to create boto3 client.\\n\" + str(err))\n return False\n try:\n # clean the bucket\n bucket = resource.Bucket(bucket_name)\n for key in bucket.objects.all():\n key.delete()\n\n # upload the new files\n uploadFileNames = getFiles(sourceDir)\n print(\"Found \" + len(uploadFileNames).__str__() + ' files')\n\n for filename in uploadFileNames:\n destName = os.path.join(*(filename.split('/')[1:]))\n print(\"Uploading file \" + filename + ' to ' + destName)\n resource.Object(bucket_name, destName).put(Body=open(filename, 'rb'),\n ContentType=get_contenttype_from_filename(filename))\n\n except ClientError as err:\n print(\"Failed to upload artefact to S3.\\n\" + str(err))\n return False\n except IOError as err:\n print(\"Failed to access artefact in this directory.\\n\" + str(err))\n return False\n\n return True","def upload_file(conn, filename_local, filename_s3, gzip=False):\n\n filename_s3 = filename_s3.lstrip('./')\n\n file_descriptor = open(filename_local, 'rb')\n content = file_descriptor.read()\n\n content_type = _get_content_type(file_descriptor)\n headers = _get_headers(content_type)\n\n #should compress if the file is compressable and gzip is enabled\n can_be_gzipped = _file_can_be_compressed(filename_local)\n if gzip and can_be_gzipped:\n content = _compress_string(content)\n headers['Content-Length'] = str(len(content))\n headers['Content-Encoding'] = 'gzip'\n extension = mimetypes.guess_extension(content_type)\n #we should not overwrite the original file in the server.\n #We change extensions: style.css --> style.gz.css, for instance\n filename_s3 = filename_s3.rstrip(extension) + '.gz' + extension\n\n #if gzip is enabled and it is not compressable, don't upload nothing at all\n elif gzip and not can_be_gzipped:\n return\n\n #upload\n print 'Uploading %s to %s' % (filename_local, filename_s3)\n _put(conn, filename_s3, content, headers=headers)\n file_descriptor.close()","def upload_to_s3(file_from_machine, bucket, file_to_s3):\n s3.upload_file(file_from_machine, bucket, file_to_s3)\n print(file_to_s3, \" : is upoaded to s3\")","def upload_files_to_S3(sourceDir, bucket_name, destDir, aws_access_key_id=None, aws_secret_access_key=None):\n\n # set up the connection to the AWS Bucket.\n if aws_access_key_id == None or aws_secret_access_key == None:\n client = boto3.client(service_name='s3', aws_access_key_id=None, aws_secret_access_key=None)\n else:\n client = boto3.client(service_name='s3', aws_access_key_id=aws_access_key_id,\n aws_secret_access_key=aws_secret_access_key)\n transfer = boto3.s3.transfer.S3Transfer(client)\n\n # Get a list of all the files that have already been uploaded to S3\n MyS3Objects = [s.key for s in boto3.resource('s3').Bucket(bucket_name).objects.filter(Prefix=destDir)]\n\n\n\n\n uploadFileNames = files_to_upload(sourceDir)\n\n #print(sourceDir)\n #print(uploadFileNames)\n\n\n UploadCounter = 0\n\n for filename in uploadFileNames:\n sourcepath = filename[0]\n destpath = destDir + '/' + filename[1]\n\n # If the file is already on S3, don't upload it again\n if destpath in MyS3Objects:\n print(destpath, \" is already on S3\")\n continue\n\n UploadCounter += 1\n if UploadCounter % 100 == 0: print(\"Files Uploaded:\", UploadCounter)\n\n # print ('Uploading %s to Amazon S3 bucket %s' % (sourcepath, bucket_name))\n\n transfer.upload_file(sourcepath, bucket_name, destpath)\n\n print(\"All the files have been uploaded!\")","def upload_file(Filename=None, Bucket=None, Key=None, ExtraArgs=None, Callback=None, Config=None):\n pass","def test_upload_file_to_s3_bucket(self):\n conn = boto3.resource('s3', region_name='us-east-1')\n # We need to create the bucket since this is all in Moto's 'virtual' AWS account\n conn.create_bucket(Bucket='foobucket')\n\n s3_connector = S3Connector()\n s3_connector.connect(\"default\")\n s3_connector.upload_file(\n file_path=\"test/test_resources/test_file\", file_name=\"foofile\", bucket_name=\"foobucket\")\n\n # get bucket contents\n response = boto3.client('s3').list_objects(Bucket=\"foobucket\")\n contents = []\n for content in response.get('Contents', []):\n contents.append(content.get('Key'))\n\n self.assertEqual(contents, [\"foofile\"])","def upload(filename, bucket):\n k = Key(bucket)\n k.key = uuid.uuid1().hex\n print \"Uploading batch to {}, key: {}...\".format(bucket.name, k.key)\n k.set_contents_from_filename(filename, reduced_redundancy=True)\n print \" Done.\"\n \n\n\n bucket = openBucket(dest)","def upload(file_path, aws_path, access_key, secret_key) -> None:\n # bucket = \"dev-com-courtlistener-storage\"\n bucket = \"seals.free.law\"\n client = boto3.client(\n \"s3\",\n aws_access_key_id=access_key,\n aws_secret_access_key=secret_key,\n )\n transfer = S3Transfer(client)\n if \".png\" in file_path:\n content_type = \"image/png\"\n else:\n content_type = \"image/svg+xml\"\n transfer.upload_file(\n file_path,\n bucket,\n aws_path,\n extra_args={\"ContentType\": content_type, \"ACL\": \"public-read\"},\n )\n print(f\"http://{bucket}.s3-us-west-2.amazonaws.com/{aws_path}\")","def upload_object(object_location: ObjectLocation, stream: io.BytesIO) -> None:\n s3 = boto3.client(\"s3\")\n result = s3.upload_fileobj(stream, object_location.bucket.name, object_location.key)\n log.debug(f\"Result of upload to {object_location}: {result}\")","def store_s3_contents ( s3_conn, bucket_name, key_name, key_contents = None, key_contents_filename = None ) :\n bucket = s3_conn.get_bucket( bucket_name )\n key = boto.s3.key.Key( bucket )\n key.key = key_name\n if ( key_contents_filename ) :\n key.set_contents_from_filename( key_contents_filename )\n else :\n key.set_contents_from_string( key_contents )","def upload_to_s3(file_path, config):\n logging.info(\"Uploading file to S3 bucket: %s\", config['s3_bucket_name'])\n s3 = boto3.resource('s3')\n s3_filename = config['s3_bucket_path'] + config['rendered_filename']\n s3.Bucket(config['s3_bucket_name']).upload_file(\n file_path, s3_filename, ExtraArgs={\n 'ContentType': 'text/html', 'ACL': 'public-read'})","def cp(self, source: str, filename: str) -> None:\n\n now = datetime.datetime.utcnow()\n timestamp = now.strftime('%a, %d %b %Y %H:%M:%S GMT')\n headers = [\n ('Connection', 'keep-alive'),\n ('Content-Length', '0'),\n ('Date', timestamp),\n ('Host', '%s.s3.amazonaws.com' % self.bucket),\n ('x-amz-content-sha256', _EMPTY_SHA256_HASH),\n ('x-amz-copy-source', '/%s%s' % (self.bucket, source)),\n ]\n signed_headers = ';'.join(header[0].lower() for header in headers)\n canonical_request = 'PUT\\n%s\\n\\n%s\\n\\n%s\\n%s' % (filename, '\\n'.join(\n ('%s:%s' % (header[0].lower(), header[1])\n for header in headers)), signed_headers, _EMPTY_SHA256_HASH)\n logging.debug('canonical request %r',\n canonical_request.encode('utf-8'))\n string_to_sign = 'AWS4-HMAC-SHA256\\n%s\\n%s\\n%s' % (\n timestamp, self.scope,\n hashlib.sha256(canonical_request.encode('utf-8')).hexdigest())\n logging.debug('string to sign %r', string_to_sign.encode('utf-8'))\n\n signature = hmac.new(self.signing_key,\n string_to_sign.encode('utf-8'),\n digestmod='sha256').hexdigest()\n headers.append((\n 'Authorization',\n 'AWS4-HMAC-SHA256 Credential=%s/%s,SignedHeaders=%s,Signature=%s' %\n (self.aws_access_key, self.scope, signed_headers, signature)))\n if not self.conn:\n self.conn = http.client.HTTPSConnection('%s.s3.amazonaws.com' %\n self.bucket)\n try:\n self.conn.request('PUT', filename, headers=dict(headers))\n res = self.conn.getresponse()\n payload = res.read()\n except (http.client.BadStatusLine, http.client.ResponseNotReady,\n http.client.CannotSendRequest):\n self.conn.close()\n raise\n if res.status != 200:\n raise Exception(payload.decode('utf-8'))","def aws_s3_upload(self):\n\n # absolute path to the csv file to create\n csv_file = os.path.join(self.csvfile, \"DLTINS_20210117_01of01.csv\")\n\n # Test for correct data\n self.assertTrue(\n aws_s3_upload(\n csv_file,\n self.region_name,\n self.aws_access_key_id,\n self.aws_secret_access_key,\n self.bucket_name,\n )\n )\n\n # Test for non existent bucket\n self.assertFalse(\n aws_s3_upload(\n csv_file,\n \"useast\",\n self.aws_access_key_id,\n self.aws_secret_access_key,\n self.bucket_name,\n )\n )\n\n # Test for non existent region\n self.assertFalse(\n aws_s3_upload(\n csv_file,\n self.region_name,\n self.aws_access_key_id,\n self.aws_secret_access_key,\n \"nonexistentbucketname\",\n )\n )\n\n # Test for incorrect keys\n self.assertFalse(\n aws_s3_upload(\n csv_file,\n self.region_name,\n \"xjvachiahvlchabo;jvbo\",\n \"khkc vah haaih aih ika\",\n self.bucket_name,\n )\n )","def upload_file_to_bucket(s3_client, file_obj, bucket, folder, object_name=None):\n # If S3 object_name was not specified, use file_name\n if object_name is None:\n object_name = file_obj\n\n # Upload the file\n try:\n response = s3_client.upload_fileobj(file_obj, bucket, f\"{folder}/{object_name}\")\n print(response)\n except ClientError:\n return False\n return True","def _upload_to_s3(filename):\n if not app.config.get('UPLOAD_SCREENSHOTS_TO_S3', False):\n return\n\n import boto\n from boto.s3.key import Key\n conn = boto.connect_s3()\n b = conn.get_bucket(app.config['S3_BUCKET'])\n k = Key(b)\n k.key = '{}/{}'.format(\n app.config.get('S3_FILES_PREFIX', 'sleepypuppy'),\n filename\n )\n k.set_contents_from_filename(\n \"{}/{}\".format(\n app.config['UPLOAD_FOLDER'],\n filename\n )\n )\n os.remove(\n \"{}/{}\".format(\n app.config['UPLOAD_FOLDER'],\n filename\n )\n )","def save_file_aws(obj, file_path, aws_credentials):\n bucket_engine = S3Bucket(*aws_credentials)\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\n bucket_engine.write(file_path, data)","def store_file(self, key, local_file):\n\t\t\n\t\ttry:\n\t\t\tdata = open(local_file, 'r').read()\n\t\t\tself.s3.put(\n\t\t\t\tself.bucket,\n\t\t\t\tkey,\n\t\t\t\tS3Object(data), {\n\t\t\t\t\t'Content-Type': 'application/x-bzip2',\n\t\t\t\t\t'x-amz-acl': 'private',\n\t\t\t\t\t'Content-Length': len(data)\n\t\t\t\t}\n\t\t\t)\n\t\texcept:\n\t\t\treturn False","def upload(self, path, key, extra_args={}):\n if key.endswith(\"/\"):\n key += os.path.basename(path)\n if key.startswith(\"/\"):\n key = key[1:]\n remote_path = self.base.full_cell + \"/\" + key\n self.s3.meta.client.upload_file(path, self.bucket, remote_path, ExtraArgs=extra_args)\n print \"UPLOADED {} to s3://{}/{}\".format(path, self.bucket, remote_path)","def _upload_to_s3(s3_uploader, relative_path, file_path, filename):\n try:\n key = os.path.join(s3_uploader[\"key_prefix\"], relative_path, filename)\n s3_uploader[\"transfer\"].upload_file(file_path, s3_uploader[\"bucket\"], key)\n except FileNotFoundError: # noqa ignore=F821\n # Broken link or deleted\n pass\n except Exception: # pylint: disable=broad-except\n logger.exception(\"Failed to upload file to s3.\")\n finally:\n # delete the original file\n if os.path.exists(file_path):\n os.remove(file_path)","def upload_file(cls, uri, fobj):\n # Breaks the URI into usable componenents.\n values = get_values_from_media_uri(uri)\n logger.debug(\"S3Backend.upload_file(): Received: %s\" % values)\n\n conn = cls._get_aws_s3_connection(values['username'],\n values['password'])\n bucket = conn.create_bucket(values['host'])\n key = bucket.new_key(values['path'])\n\n logger.debug(\"S3Backend.upload_file(): \"\\\n \"Settings contents of '%s' key from %s\" % (\n values['path'], fobj.name))\n key.set_contents_from_filename(fobj.name)\n\n logger.debug(\"S3Backend.upload_file(): Upload complete.\")\n return key","def upload_file(file_name, bucket):\r\n object_name = file_name\r\n s3_client = boto3.client('s3')\r\n response = s3_client.upload_file(file_name, bucket, object_name)\r\n\r\n return response","def upload_to_s3(bucket, file_path, prefix, timestamp):\n upload_name = f'{prefix}_{timestamp or \"\"}{basename(file_path)}'\n\n try:\n bucket.upload_file(file_path, upload_name)\n syslog.syslog(syslog.LOG_INFO,\n f'Uploaded {file_path} to S3 Bucket - {bucket.name}')\n return True\n except S3UploadFailedError as s3ex:\n syslog.syslog(\n syslog.LOG_ERR, f'Failed to upload {file_path} to S3 Bucket - {bucket_name} - {s3ex}')\n return False\n finally:\n rm(file_path)","def singlePartUpload(self, eachfiledic):\n self.CalculateMd5OfEachFile(eachfiledic)\n fileobj = open(eachfiledic[\"filepath\"], 'rb')\n toReturn = False\n try:\n response = client.put_object(Body=fileobj, Bucket=self.bucketName,\n Key=eachfiledic[\"filename\"], ContentMD5=eachfiledic[\"md5\"])\n s3Log.info (\"{} got uploaded on s3 bucket = {}\\n\".format(eachfiledic[\"filepath\"], self.bucketName))\n toReturn = True\n except (ClientError, boto3.exceptions.S3UploadFailedError) as e:\n s3Log.error (\"FAILED TO UPLOAD file:{}\\n\".format(eachfiledic[\"filename\"]) )\n if \"Error\" in e.response:\n s3Log.error(e.response[\"Error\"])\n\n fileobj.close()\n return toReturn","def upload_folder_to_s3(folder_path, s3_uri, connection=None):\n\n if connection:\n run_out = connection.run(f\"aws s3 cp --recursive {folder_path}/ {s3_uri}/\")\n else:\n run_out = run(f\"aws s3 cp --recursive {folder_path}/ {s3_uri}/\")\n\n return run_out.return_code","def uploadFilestoS3(self):\n allfilesuploadedcount = 0\n for eachfiledic in self.fileTobeUploaded:\n if eachfiledic[\"uploadedSuccess\"] == 0: #Means this file never got uploaded.\n if os.path.getsize(eachfiledic[\"filepath\"]) < 1000000000: #<1GB\n s3Log.info (\"FileSize < 1GB for :{}, so using single part upload.\".format(eachfiledic[\"filepath\"]) )\n if self.singlePartUpload(eachfiledic) == True:\n eachfiledic[\"uploadedSuccess\"] = 1\n allfilesuploadedcount = allfilesuploadedcount + 1\n else:\n s3Log.info (\"FileSize > 1GB for :{}, so using Multi Part upload. \\n\".format(eachfiledic[\"filepath\"]) )\n if self.multiPartUpload(eachfiledic) == True:\n eachfiledic[\"uploadedSuccess\"] = 1\n allfilesuploadedcount = allfilesuploadedcount + 1\n\n\n elif eachfiledic[\"uploadedSuccess\"] == 1: #Means it got uploaded in the last run.\n allfilesuploadedcount = allfilesuploadedcount + 1\n\n self.saveStateOfThisRun()\n if len(self.fileTobeUploaded) == allfilesuploadedcount: #Means we uploaded all files in the queue\n return True\n else:\n return False","def put(self, file_path, key=None):\n try:\n key_name = key if key else os.path.basename(file_path)\n size = os.stat(file_path).st_size\n if size < 104857600: #100 mb\n k = Key(self.bucket)\n k.key = key_name\n sent = k.set_contents_from_filename(file_path)\n log.info('Uploading %s to S3 (%s)' % (key_name, self.bucket_name))\n return sent == size\n else:\n log.info('Multipart Uploading %s to S3 (%s)' % (key_name, self.bucket_name))\n mp = self.bucket.initiate_multipart_upload(key_name)\n chunk_size = 52428800\n chunk_count = int(math.ceil(size / float(chunk_size)))\n #Send the file parts, using FileChunkIO to create a file-like object\n # that points to a certain byte range within the original file. We\n # set bytes to never exceed the original file size.\n for i in range(chunk_count):\n offset = chunk_size * i\n bytes = min(chunk_size, size - offset)\n with FileChunkIO(file_path, 'r', offset=offset, bytes=bytes) as fp:\n mp.upload_part_from_file(fp, part_num=i + 1)\n # Finish the upload\n mp.complete_upload()\n return True\n except Exception, e:\n log.error('Failed to upload to S3 (%s)' % (self.bucket_name), exc_info=True)\n return False","def upload_to_s3(channel, file):\n s3_resource = boto3.resource('s3')\n data = open(file, \"rb\")\n key = channel + '/' + file\n s3_resource.Bucket(BUCKET).put_object(Key=key, Body=data)","def upload_file(self, key, filepath, access, keep_original=True,\n verbose=False):\n\n # file entry\n try:\n file_entry = self.bucket.new_key(key)\n file_entry.set_metadata('filepath', filepath)\n file_entry.set_contents_from_filename(filepath)\n file_entry.set_acl(access) # access control\n except Exception as error:\n print str(error)\n return False\n else:\n if verbose:\n print \"{} uploaded to amazon s3.\".format(key)\n\n # original file removal\n if not keep_original and os.access(filepath, os.W_OK):\n try:\n os.remove(filepath)\n except (IOError, OSError):\n print \"I/O error, could not remove file.\"\n else:\n if verbose:\n print \"{} (original) removed\".format(filepath)\n\n return True","def s3_sync(s3_bucket, s3_prefix, sync_path=\".\"):\n # Get bucket\n s3_resource = boto3.resource(\"s3\")\n bucket = s3_resource.Bucket(s3_bucket)\n\n # Walk paths and subdirectories, uploading files\n for path, subdirs, files in os.walk(sync_path):\n # Get relative path prefix\n relpath = os.path.relpath(path, sync_path)\n if not relpath.startswith('.'):\n prefix = os.path.join(s3_prefix, relpath)\n else:\n prefix = s3_prefix\n\n for file in files:\n file_key = os.path.join(prefix, file)\n bucket.upload_file(os.path.join(path, file), file_key)","def writeFileToS3(self, keyname, path, mimetype=None, acl=\"public-read\"):\n try:\n k = Key(self.BUCKET)\n k.key = keyname\n k.set_metadata('Content-Type', mimetype or self.getMime(keyname))\n k.set_contents_from_filename(path)\n k.set_acl(acl)\n return True\n except IOError, e:\n print 'Could not write file to S3:', e\n return False","def _upload_file(file_name, bucket, object_name):\n\n # If S3 object_name was not specified, use file_name\n if object_name is None:\n object_name = file_name\n\n # Upload the file\n try:\n s3.upload_file(file_name, bucket, object_name)\n except ClientError as e:\n logging.error(e)\n return False\n return True","def upload_file_to_s3(file_path, bucket, object_name=None, access_key_id=None,\n secret_access_key=None):\n if object_name is None:\n object_name = Path(file_path).name\n\n try:\n s3_client = boto3.client(\n \"s3\",\n aws_access_key_id=access_key_id,\n aws_secret_access_key=secret_access_key\n )\n\n s3_client.upload_file(file_path, bucket, object_name)\n except ClientError:\n raise","def copy_to_s3(self):\n self.logger.logMsg(\"Copying Files to S3\")\n str_time = datetime.datetime.today().strftime('%Y%m%d')\n out_file = \"{}/{}.csv\".format(self.outpath, str_time)\n\n try:\n session = boto3.Session(profile_name='default')\n s3_resource = session.resource('s3')\n BUCKET = 'dv-adip-sandbox-8337-us-east-1'\n rem_file = '{}.csv'.format(str_time)\n s3_resource.meta.client.upload_file(out_file, BUCKET, rem_file)\n except Exception as e:\n self.logger.logError('Error Copying Files to S3 {}'.format(str(e)))\n raise Exception('Error Copying Files to S3')\n\n self.logger.logMsg(\"Copying Files to S3 Completed\")\n\n shutil.move(out_file, self.archive)","def upload_file_to_s3(bucket_name, input_filepath, output_filename):\n s3 = boto3.client(\"s3\")\n with open(input_filepath, \"rb\") as f:\n s3.upload_fileobj(f, bucket_name, output_filename)","def s3(ctx, bucket_name, data_file, region):\n ctx.obj['BUCKET_NAME'] = bucket_name\n ctx.obj['DATA_FILE'] = data_file\n ctx.obj['TYPE'] = 's3'\n ctx.obj['REGION'] = region","def upload_file(s3_client, file_name, object_name=None):\n\n # read bucket name from cfg file\n bucket = config.get('S3', 'LANDING_ZONE')\n\n # If S3 object_name was not specified, use file_name\n if object_name is None:\n object_name = file_name.split('\\\\')[-1]\n\n # Upload the file\n try:\n response = s3_client.upload_file(file_name, bucket, object_name, Callback=ProgressPercentage(file_name))\n# logger.debug(f\"Got response from s3 client for uploading file: {response}\")\n except Exception as e:\n logger.error(f\"Error occurred while upload {file_name} : {e}\")\n return False\n return True","def upload_files_s3(files, bucket):\n \n print('************************************')\n print('Uploading files to s3 bucket...')\n print('************************************')\n \n for i in range(len(files)):\n upload_file_s3(files[i], bucket)\n \n print('************************************')\n print('Upload complete')\n print('************************************')","def upload_json_to_s3(directory):\n for f in directory.iterdir():\n if str(f).endswith('.json'):\n full_file_path = str(f.parent) + \"/\" + str(f.name)\n file_name = str(f.name)\n s3_client.upload_file(full_file_path, BASE_BUCKET, file_name)","def save_to_s3(bucket, key, body):\n client = boto3.client('s3')\n s3_log = client.put_object(Body=body, Bucket=bucket, Key=key)\n \n if debug:\n print('s3_log:', s3_log)","def upload_file_to_s3(bucket, artefact, bucket_key):\n try:\n client = boto3.client('s3')\n\n except ClientError as err:\n print(\"Failed to create boto3 client.\\n\" + str(err))\n return False\n\n try:\n kwargs = {\n \"Body\": open(artefact, 'rb'),\n \"Bucket\": bucket,\n \"Key\": bucket_key\n }\n\n mime_type, encoding = mimetypes.guess_type(artefact)\n\n if mime_type is None:\n file_name, file_ext = os.path.splitext(artefact)\n\n if file_ext == \".icon\" :\n kwargs[\"ContentType\"] = \"image/vnd.microsoft.icon\"\n\n elif file_ext == \".woff2\" :\n kwargs[\"ContentType\"] = \"application/font-woff\"\n \n else:\n kwargs[\"ContentType\"] = mime_type\n\n client.put_object(**kwargs)\n\n except ClientError as err:\n print(\"Failed to upload artefact to S3.\\n\" + str(err))\n return False\n\n except IOError as err:\n print(\"Failed to access artefact in this directory.\\n\" + str(err))\n return False\n\n return True","def upload_file(self, keyUrl='', body='', ContentType='', bucket=None):\n \n if bucket is None:\n bucket = self.AWS_S3_BUCKET\n \n #Verificamos si existe body\n if body is None:\n body=''\n \n try:\n self.get_s3_client().put_object(Bucket=bucket, Key=keyUrl, Body=body, ACL='public-read', ContentType=ContentType)\n return True\n \n except ClientError as e:\n return False","def _s3_intermediate_upload(file_obj, file_name, fields, session, callback_url):\n import boto3\n from boto3.s3.transfer import TransferConfig\n from boto3.exceptions import S3UploadFailedError\n\n # actually do the upload\n client = boto3.client(\n \"s3\",\n aws_access_key_id=fields[\"upload_aws_access_key_id\"],\n aws_secret_access_key=fields[\"upload_aws_secret_access_key\"],\n )\n\n multipart_chunksize = _choose_boto3_chunksize(file_obj)\n\n # if boto uses threads, ctrl+c won't work\n config = TransferConfig(use_threads=False, multipart_chunksize=multipart_chunksize)\n\n # let boto3 update our progressbar rather than our FASTX wrappers, if applicable\n boto_kwargs = {}\n\n if hasattr(file_obj, \"progressbar\"):\n boto_kwargs[\"Callback\"] = file_obj.progressbar.update\n file_obj._progressbar = file_obj.progressbar\n file_obj.progressbar = None\n\n for attempt in range(1, 4):\n try:\n client.upload_fileobj(\n file_obj,\n fields[\"s3_bucket\"],\n fields[\"file_id\"],\n ExtraArgs={\"ServerSideEncryption\": \"AES256\"},\n Config=config,\n **boto_kwargs\n )\n break\n except S3UploadFailedError as e:\n logging.debug(\"Caught S3UploadFailedError on attempt {}/3: {}\".format(attempt, str(e)))\n logging.error(\n \"{}: Connectivity issue, retrying upload via intermediary ({}/3)...\".format(\n file_name, attempt\n )\n )\n\n # rewind the progressbar if possible, then remove so boto3 can update the bar directly\n if hasattr(file_obj, \"_progressbar\"):\n file_obj.progressbar = file_obj._progressbar\n file_obj.seek(0)\n file_obj.progressbar = None\n else:\n file_obj.seek(0)\n else:\n logging.debug(\"{}: exhausted all retries via intermediary\")\n raise_connectivity_error(file_name)\n\n # issue a callback\n try:\n resp = session.post(\n callback_url,\n json={\n \"s3_path\": \"s3://{}/{}\".format(fields[\"s3_bucket\"], fields[\"file_id\"]),\n \"filename\": file_name,\n \"import_as_document\": fields.get(\"import_as_document\", False),\n },\n )\n except requests.exceptions.ConnectionError:\n raise_connectivity_error(file_name)\n\n if resp.status_code != 200:\n raise_connectivity_error(file_name)\n\n try:\n return resp.json()\n except ValueError:\n return {}","def push_file_to_s3(logger, app_config, s3_object_info, start_timing):\n import boto3\n s3_resource = boto3.resource('s3')\n logging.getLogger('boto3').addHandler(logger)\n s3_object = get_config_item(app_config, 's3_info.object_base') + \\\n '/' + s3_object_info['camera_name'] + '/' + \\\n s3_object_info['date_string'] + '/' + \\\n s3_object_info['hour_string'] + '/' + \\\n s3_object_info['img_type'] + '/' + \\\n s3_object_info['just_file']\n\n utc_ts = int(time.time() * 1000)\n\n object_metadata = {'camera': s3_object_info['camera_name'],\n 'camera_timestamp': str(utc_ts)}\n s3_resource.Object(get_config_item(app_config, 's3_info.bucket_name'),\n s3_object).put(Body=open(s3_object_info['file_name'], 'rb'),\n Metadata=object_metadata)\n totaltime = time.time() - start_timing\n logger.info(\"S3 Object: {} written to s3 in {} seconds.\".format(s3_object, totaltime))\n return utc_ts","def upload_fileobj(self, bucket_name, file_obj, key):\n self._client.upload_fileobj(Fileobj=file_obj, Bucket=bucket_name, Key=key)","def _put(conn, remote_file, contents, bucket_name=BUCKET_NAME, headers=None):\n error_msg = 'Failed to upload to %s' % remote_file\n try:\n reply = conn.put(bucket_name, remote_file,\n S3.S3Object(contents), headers)\n if reply.http_response.status != 200:\n print error_msg\n except:\n print error_msg","def upload_file(file_name, bucket, object_name=None):\n\n # If S3 object_name was not specified, use file_name\n if object_name is None:\n object_name = file_name\n\n # Upload the file\n s3_client = boto3.client('s3', aws_access_key_id='', aws_secret_access_key='')\n try:\n response = s3_client.upload_file(file_name, bucket, object_name, ExtraArgs={'ACL':'public-read'})\n except ClientError as e:\n logging.error(e)\n return False\n return True","def upload_file(file_name, object_name=None, bucket = BUCKET_NAME):\n\n # Upload the file\n s3_client = boto3.client('s3')\n try:\n response = s3_client.upload_file(file_name, bucket, object_name) if type(file_name) == str else s3_client.upload_fileobj(file_name, BUCKET_NAME, object_name)\n except ClientError as e:\n logging.error(e)\n return False\n return True","def upload_file(file_name, bucket, object_name=None):\n\n # If S3 object_name was not specified, use file_name\n if object_name is None:\n object_name = file_name\n\n # Upload the file\n try:\n response = s3_client.upload_file(file_name, bucket, object_name)\n except ClientError as e:\n logging.error(e)\n return False\n return True","def upload_file_by_url(s3_file_name, filename):\n full_path = os.path.join(CONFIG_BROKER['path'], \"tests\", \"integration\", \"data\", filename)\n\n if CONFIG_BROKER['local']:\n # If not using AWS, put file submission in location\n # specified by the config file\n broker_file_path = CONFIG_BROKER['broker_files']\n copy(full_path, broker_file_path)\n submitted_file = os.path.join(broker_file_path, filename)\n return {'bytesWritten': os.path.getsize(submitted_file), 's3FileName': full_path}\n else:\n # Use boto to put files on S3\n s3conn = boto.s3.connect_to_region(CONFIG_BROKER[\"aws_region\"])\n bucket_name = CONFIG_BROKER['aws_bucket']\n key = Key(s3conn.get_bucket(bucket_name))\n key.key = s3_file_name\n bytes_written = key.set_contents_from_filename(full_path)\n return {'bytesWritten': bytes_written, 's3FileName': s3_file_name}","def upload(self, bucket, obj, s3_client=None):\n\n s3_client = s3_client or self.s3_client\n transfer_config = boto3.s3.transfer.TransferConfig(multipart_threshold=1024, use_threads=True, max_concurrency=10)\n s3_transfer = boto3.s3.transfer.S3Transfer(client=s3_client, config=transfer_config)\n\n try:\n logging.debug(\"Uploading {} to {}\".format(obj, bucket))\n s3_transfer.upload_file(obj, bucket, helpers.strip_path(obj)[1])\n\n return True\n except botocore.exceptions.EndpointConnectionError:\n logging.error(\"Couldn't connect to an S3 endpoint. If you're using an S3 compatible provider other than AWS, remember to set --s3-endpoint-url\")\n return False\n except Exception as e:\n logging.error(\"Error uploading: {}\".format(e))\n return False","async def put_file(object_name: str, file: File, **kwargs) -> str:\n # TODO: Do not read file but rather stream content as it comes\n await file.read()\n # Get the synchronous file interface from the asynchronous file\n file_obj = file.file\n # Store position of cursor (number of bytes read)\n file_size = file_obj.tell()\n # Reset cursor at start of file\n file_obj.seek(0)\n # Trace file upload with its size\n logger.debug(f\"Uploading file: {object_name} with {file_size} bytes\")\n # Time file upload for debug\n start = time.time()\n # Store object on s3 storage\n client.put_object(\n bucket_name=DATASETS_BUCKET,\n object_name=object_name,\n length=file_size,\n data=file_obj,\n )\n end = time.time()\n # Log time spent\n logger.debug(f\"Took {end - start} seconds to upload {file_size} bytes\")","def upload_file(self, file_name, bucket, object_name=None):\n\n # If S3 object_name was not specified, use file_name\n if object_name is None:\n object_name = file_name\n\n # Upload the file\n s3_client = boto3.client('s3', aws_access_key_id=self.aws_access_key_id, aws_secret_access_key=self.aws_secret_access_key)\n try:\n s3_client.upload_file(file_name, bucket, object_name)\n except ClientError as e:\n logging.exception(e)\n return False\n logging.info(\"Upload to S3 bucket complete!\")\n\n return True","def upload_file(\n self, bucket_id: uplink.Path, filename: uplink.Path, file: uplink.Body\n ):\n pass","def put_data_in_s3(data, filename):\n s3_client.put_object(Body=data, Bucket=CLIMATE_DATA_BUCKET, Key=filename)","def store_keypair ( s3_infra_conn, region_name, aws_account_type, keypair_name, keypair_filename ) :\n keypair_bucket = get_admin_bucket_name( region_name = region_name )\n store_s3_contents( s3_conn = s3_infra_conn,\n bucket_name = keypair_bucket,\n key_name = get_keypair_keypath( aws_account_type ) + get_keypair_keyname( keypair_name ),\n key_contents_filename = keypair_filename )","def upload(env):\n if not env:\n click.echo(\"Environment must be specified\")\n click.Abort()\n\n with open(\"zappa_settings.json\", \"r\") as f:\n settings = json.load(f)\n\n if not settings:\n click.echo(\"Settings not loaded\")\n click.Abort()\n return\n\n try:\n s3_bucket = settings[env][\"s3_bucket\"]\n aws_region = settings[env][\"aws_region\"]\n except AttributeError:\n click.echo(\"Failed to get details from settings\")\n click.Abort()\n return\n\n session = boto3.Session()\n credentials = session.get_credentials()\n current_credentials = credentials.get_frozen_credentials()\n\n app.config[\"FLASKS3_FORCE_MIMETYPE\"] = True\n\n try:\n css_assets.build()\n\n flask_s3.create_all(\n app,\n user=current_credentials.access_key,\n password=current_credentials.secret_key,\n bucket_name=s3_bucket,\n location=aws_region,\n put_bucket_acl=False,\n )\n click.echo(\n f\"Uploaded assets to Bucket https://{s3_bucket}.s3.{aws_region}.amazonaws.com\"\n )\n except Exception as e:\n click.echo(f\"Failed to upload assets: {e}\")","def transfer(self):\n\n # Upload unverified matches to s3 bucket if unverified argument used (production only)\n if self.in_args.unverified:\n files = glob.glob(os.path.join(self.directories['unverified_matches_dir'].format(self.region_dir, self.proc_type), '*'))\n\n # Loop through files found in unverified_matches folder\n for filepath in files:\n filename = os.path.basename(filepath)\n # Upload each file to S3 bucket folder\n self.upload_file(filepath, self.bucket, 'UK_suppliers/Unverified_Matches/' + filename)\n self.unverified_file = filename\n\n # Zip file creation - note will only work for latest unverified file. Above loop is added just incase\n # any residual files get added manually to S3 bucket.\n\n # Get filepaths of stats file, filtered and excluded matches files\n stats_fp = self.directories['stats_file'].format(self.region_dir, self.proc_type)\n filtered_matches_fp = self.directories['filtered_matches'].format(self.region_dir, self.proc_type) + '_' + \\\n str(self.best_config) + '.csv'\n\n excluded_matches_fp = self.directories['excluded_matches'].format(self.region_dir, self.proc_type) + '_' + \\\n str(self.best_config) + '.csv'\n\n blacklisted_strings_fp = self.directories['blacklisted_string_matches'].format(self.region_dir)\n\n stats_file_fp = self.directories['script_performance_stats_file'].format(self.region_dir, self.proc_type)\n\n # Assign zip file which will contain above files\n files_zip = self.unverified_file[:10] + \"_files.zip\"\n\n with ZipFile(files_zip, 'w') as myzip:\n myzip.write(stats_fp, os.path.basename(stats_fp))\n myzip.write(filtered_matches_fp,os.path.basename(filtered_matches_fp))\n myzip.write(excluded_matches_fp, os.path.basename(excluded_matches_fp))\n myzip.write(blacklisted_strings_fp, os.path.basename(blacklisted_strings_fp))\n myzip.write(stats_file_fp, os.path.basename(stats_file_fp))\n\n self.upload_file(files_zip, self.bucket, 'UK_suppliers/Archive/' + files_zip)\n\n # Download verified matches from s3 bucket if verified argument (production only)\n if self.in_args.verified:\n self.process_verified_files()\n\n # Add confirmed matches/non-matches to training file\n if self.in_args.convert_training:\n self.runfile_mods.convert_training.ConvertToTraining.convert(self)","def upload(self, name, file_name):\n # Get the cluster's data key from KMS\n temp_data_key = self._get_data_key(name)\n\n if temp_data_key:\n # AES-256 encrypt the file\n self.encrypt_file(file_name, temp_data_key)\n\n # Upload the file to s3\n self.upload_to_s3(name, \"/dev/shm/\" + os.path.basename(file_name) + \".enc\")\n\n # Remove the file from /dev/shm securely\n self.secure_delete(\"/dev/shm/\" + os.path.basename(file_name) + \".enc\", 10)\n\n # Return the sha256sum of the original file for use in Chef's s3_file resource\n file = open(file_name, \"r\")\n file_data = file.read()\n file_sha256_checksum = sha256(file_data)\n file.close()\n\n print \"[+] sha256sum for {0} is {1}\".format(file_name, file_sha256_checksum.hexdigest())\n\n return","def upload_chain(s3_path, local_path, bucket_name='lwr-inverse-us-east'):\n s3 = boto3.resource(\"s3\")\n lwr_AIES = s3.Bucket(bucket_name)\n file_content = open(local_path, 'rb')\n lwr_AIES.put_object(Key=s3_path, Body=file_content)","def test_put_file_variant(self):\n self.prepare_uploads()\n backend = BackendS3(**self.config)\n uploads = self.upload_path\n src = os.path.join(uploads, 'demo-test.tar.gz')\n id = utils.generate_id('demo-test.tar.gz')\n backend.put_variant(src, id, 'variant.tar.gz')\n path = '/'.join(backend.id_to_path(id)) + '/variant.tar.gz'\n self.assertTrue(backend.exists(path))","def upload_fileobj(Fileobj=None, Bucket=None, Key=None, ExtraArgs=None, Callback=None, Config=None):\n pass","def s3zip_func(s3zip_path, _func=None, cred_fpath=None, api_path=None, num_files=-1, verbose=False, include=None, **kwargs):\n\n def operate(subfile, _func, verbose, **kwargs):\n if verbose:\n print(\"current time is {}\".format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')))\n print(\"{} opened.\".format(subfile))\n if _func is None:\n return subfile\n else:\n return _func(fpath=zipf.open(subfile), fname=subfile, **kwargs)\n\n s3bucket, s3zip = s3zip_path.split(\"s3://\")[-1].split('/', 1)\n myAccessKey, mySecretKey, myToken = get_creds(cred_fpath=cred_fpath, api_path=api_path)\n\n session = boto3.session.Session(\n aws_access_key_id=myAccessKey,\n aws_secret_access_key=mySecretKey,\n aws_session_token=myToken\n )\n\n s3 = session.resource(\"s3\")\n bucket = s3.Bucket(s3bucket)\n obj = bucket.Object(s3zip)\n\n with io.BytesIO(obj.get()[\"Body\"].read()) as tf:\n\n # rewind the file\n tf.seek(0)\n\n # Read the file as a zipfile and process the members\n with zipfile.ZipFile(tf, mode='r') as zipf:\n zipfiles = zipf.namelist()\n if include is None:\n include = zipfiles\n if num_files == -1:\n num_files = len(zipfiles)\n results = [operate(subfile, _func, verbose, **kwargs)\n for subfile in zipfiles[:num_files] if subfile in include]\n return results","def lambda_handler(*_):\n Log.info(\"Checking bucket %s\", S3_BUCKET)\n Log.info(\"Output Key: %s\", S3_OUTPUT_KEY)\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\n filtered = s3index.filter_objects(objects)\n by_date = s3index.order_objects(filtered)\n template = s3index.template_from_string(TEMPLATE)\n index = s3index.build_index(\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\n s3_client = boto3.client(\"s3\")\n s3_client.put_object(\n ACL=\"public-read\",\n Body=index.encode(),\n Bucket=S3_BUCKET,\n Key=S3_OUTPUT_KEY,\n ContentType=\"text/html\"\n )","def save_to_s3(filename, contents):\n s3 = boto3.resource('s3')\n obj = s3.Object(BUCKET_NAME, S3_PATH.format(filename))\n obj.put(Body=contents)","def upload_app_version(app_name, bundled_zip):\n bucket = elasticbeanstalk.get_storage_location()\n key = app_name + '/' + os.path.basename(bundled_zip)\n try:\n ebs3.get_object_info(bucket, key)\n logger.info('S3 Object already exists. Skipping upload.')\n except NotFoundError:\n logger.info('Uploading archive to s3 location: ' + key)\n ebs3.upload_application_version(bucket, key, bundled_zip)\n return bucket, key","def upload_to_s3(self, file: str, force_upload: bool = False) -> str:\n if self.aws_access_key_id is None:\n raise Exception(\n 'To use `upload_to_s3` you need to pass '\n '`aws_access_key_id` and '\n '`aws_secret_access_key`'\n )\n\n filename = file.split('/')[-1]\n\n s3 = boto3.client(\n 's3',\n aws_access_key_id=self.aws_access_key_id,\n aws_secret_access_key=self.aws_secret_access_key\n )\n # Check if exists\n if not force_upload:\n try:\n session = boto3.Session(\n aws_access_key_id=self.aws_access_key_id,\n aws_secret_access_key=self.aws_secret_access_key\n )\n\n session.resource('s3').Object(self.bucket_name, filename).load()\n except botocore.exceptions.ClientError as e:\n if e.response['Error']['Code'] != \"404\":\n raise e\n else:\n # The object does exist\n return filename\n\n # Progress bar\n size = os.stat(file).st_size\n progress_bar = self._progress(size)\n\n # Uploading file\n s3.upload_file(file, self.bucket_name, filename, Callback=progress_bar)\n\n return filename","def upload_file(file_name: str, bucket: str, object_name: str =None) -> None:\n\n # If S3 object_name was not specified, use file_name\n if object_name is None:\n object_name = file_name\n\n # Upload the file\n s3_client = boto3.client(\"s3\")\n try:\n s3_client.upload_file(file_name, bucket, object_name)\n except ClientError as e:\n logging.error(e)","def upload_to_storage_client(self, **kwargs):\n if 'source_path' in kwargs:\n source_path = kwargs.get('source_path')\n else:\n raise ValueError(\"Must provide the \\'source_path\\' parameter for local storage client to find the file!\")\n\n if 'destination_path' in kwargs:\n destination_path = kwargs.get('destination_path')\n else:\n raise ValueError(\n \"Must provide the \\'destination_path\\' parameter for local storage client to find the destination!\")\n\n compression = kwargs.get('compression')\n intended_stored_file_name = kwargs.get('intended_stored_file_name', None)\n\n if not os.path.isdir(source_path) and compression:\n raise ValueError(\"Only directories can be zipped. Single files cannot be zipped.\")\n\n self.__check_dir(destination_path)\n\n upload_parameters = {'source_path': source_path, 'compression': compression,\n 'destination_path': destination_path}\n\n if compression:\n # TODO\n # if no name is supplied, name of the zipfile will be the destination; currently funky at move() due to source =/= location\n if not intended_stored_file_name:\n file_name = os.path.split(source_path)[-1]\n intended_stored_file_name = 'archive_' + file_name + \"_\" + datetime.now().strftime(\"%A_%d_%B_%Y_%I_%M%p\")\n upload_parameters['intended_stored_file_name'] = intended_stored_file_name\n\n # compression can only happen on DIRECTORIES, and not on single files\n # compress2 takes a name from the kwargs, and source from parameter of save_local\n compress(intended_stored_file_name, source_path)\n\n # TODO: Perhaps zipfile dumping location can be found by getting a parent/ child from source\n\n # To find where compress2 dumps zipfile, currently: working directory path\n location = self.__prj_root_dir + \"\\\\\" + intended_stored_file_name + \".zip\"\n shutil.move(location, destination_path)\n\n upload_parameters['intended_stored_file_name'] = intended_stored_file_name\n upload_parameters['upload_date_time'] = datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n self.generate_json_upload_parameters(**upload_parameters)\n else:\n upload_parameters['intended_stored_file_name'] = intended_stored_file_name\n upload_parameters['upload_date_time'] = datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n shutil.move(source_path, destination_path)\n self.generate_json_upload_parameters(**upload_parameters)","def download_zip_file(s3_client, bucket, key):\n\n temp_file = tempfile.NamedTemporaryFile()\n with tempfile.NamedTemporaryFile() as temp_file:\n s3_client.download_file(bucket, key, temp_file.name)\n with zipfile.ZipFile(temp_file.name, \"r\") as zip_file:\n yield zip_file"],"string":"[\n \"def put(self, path: str, filename: str) -> None:\\n\\n payload_hash, content_md5, length = _hash(path)\\n\\n now = datetime.datetime.utcnow()\\n timestamp = now.strftime('%Y%m%dT%H%M%SZ')\\n headers = [\\n ('Connection', 'keep-alive'),\\n ('Content-Length', str(length)),\\n ('Content-MD5', content_md5),\\n ('Content-Type', 'application/zip'),\\n ('Date', now.strftime('%a, %d %b %Y %H:%M:%S GMT')),\\n ('Host', '%s.s3.amazonaws.com' % self.bucket),\\n ('x-amz-content-sha256', payload_hash),\\n ('x-amz-date', timestamp),\\n ]\\n signed_headers = ';'.join(header[0].lower() for header in headers)\\n canonical_request = 'PUT\\\\n%s\\\\n\\\\n%s\\\\n\\\\n%s\\\\n%s' % (filename, '\\\\n'.join(\\n ('%s:%s' % (header[0].lower(), header[1])\\n for header in headers)), signed_headers, payload_hash)\\n logging.debug('canonical request %r',\\n canonical_request.encode('utf-8'))\\n string_to_sign = 'AWS4-HMAC-SHA256\\\\n%s\\\\n%s\\\\n%s' % (\\n timestamp, self.scope,\\n hashlib.sha256(canonical_request.encode('utf-8')).hexdigest())\\n logging.debug('string to sign %r', string_to_sign.encode('utf-8'))\\n\\n signature = hmac.new(self.signing_key,\\n string_to_sign.encode('utf-8'),\\n digestmod='sha256').hexdigest()\\n headers.append((\\n 'Authorization',\\n 'AWS4-HMAC-SHA256 Credential=%s/%s,SignedHeaders=%s,Signature=%s' %\\n (self.aws_access_key, self.scope, signed_headers, signature)))\\n with open(path, 'rb') as file_stream:\\n if not self.conn:\\n self.conn = http.client.HTTPSConnection('%s.s3.amazonaws.com' %\\n self.bucket)\\n try:\\n self.conn.request('PUT',\\n filename,\\n file_stream,\\n headers=dict(headers))\\n res = self.conn.getresponse()\\n payload = res.read()\\n except (http.client.BadStatusLine, http.client.ResponseNotReady,\\n http.client.CannotSendRequest):\\n self.conn.close()\\n raise\\n if res.status != 200:\\n raise Exception(payload.decode('utf-8'))\",\n \"def _upload_s3(self, filename, bucket, objectKey):\\n return s3_client.upload_file(filename, bucket, objectKey)\",\n \"def put_zipped_artifact(s3, src_dir, artifact):\\n bucket = artifact['location']['s3Location']['bucketName']\\n key = artifact['location']['s3Location']['objectKey']\\n with tempfile.NamedTemporaryFile() as tmp_file:\\n zip_name = shutil.make_archive(tmp_file.name, 'zip', src_dir)\\n s3.upload_file(zip_name, bucket, key)\",\n \"def upload_to_s3():\\n\\n # get the json password file\\n pwd_file = open(PWD_FILE, mode='rb')\\n pwd_list = json.load(pwd_file) # calls read() on file object\\n\\n # only upload if json password file not empty\\n if len(pwd_list) > 0:\\n # reset file object to beginning\\n pwd_file.seek(0)\\n\\n # setup s3 connection\\n s3 = boto3.resource('s3', region_name=Config.connection['region_name'],\\n aws_access_key_id=Config.connection['aws_access_key'],\\n aws_secret_access_key=Config.connection['aws_secret_key'])\\n\\n s3_object_path = Config.s3['key_prefix'] + PWD_FILE\\n s3.Bucket(Config.s3['bucket_name']).put_object(Key=s3_object_path, Body=pwd_file)\",\n \"def upload_to_s3(file_contents: bytes, path: str, content_type: str = None, tags: dict = None):\\n client = S3BucketClient()\\n client.upload(\\n file_contents=file_contents,\\n path=path,\\n content_type=content_type,\\n tags=tags,\\n )\",\n \"def upload(filename, bucket):\\n print(\\\"Uploading {} to S3\\\".format(filename.lower().replace('_', '-')))\\n url = \\\"https://s3.ca-central-1.amazonaws.com/{}/{}\\\".format(bucket,\\n filename.lower().replace('_', '-'))\\n with open('{}/{}'.format(WORK_DIR, filename), 'rb') as data:\\n requests.put(url, data=data)\",\n \"def upload_s3_file(key, bucket, filename):\\n s3_client = boto3.client('s3')\\n s3_client.upload_file(filename, bucket, key)\\n return True\",\n \"def upload_to_s3(site, bucket, directory=None, files=None, prefix=None):\\n if bucket is None:\\n print red('Error: Bucket must be specified.')\\n return\\n if directory is None and files is None:\\n print red('Error: Directory and/or files must be specified.')\\n return\\n # Setup boto\\n import boto\\n from boto.s3.bucket import Bucket\\n from boto.s3.key import Key\\n import mimetypes\\n import fnmatch\\n\\n setup_aws_access_key(site)\\n\\n # Connect to S3\\n c = boto.connect_s3()\\n b = Bucket(c, bucket)\\n\\n # Fix the prefix\\n # prefix itself shouldn't have a / prefix itself but should end with /\\n if prefix:\\n prefix = prefix.lstrip('/')\\n if prefix and not prefix.endswith('/'):\\n prefix = prefix + '/'\\n\\n def __upload(key, filename):\\n k = Key(b)\\n k.key = key\\n headers = {}\\n content_type = mimetypes.guess_type(filename)[0]\\n if site.has_key('webapp') and site['webapp'].get('cache_control'):\\n for pattern in site['webapp']['cache_control']:\\n if fnmatch.fnmatch(filename, pattern):\\n headers['Cache-Control'] = site['webapp']['cache_control'][pattern]\\n break\\n if site.has_key('webapp') and site['webapp'].get('gzip_types') and content_type in site['webapp']['gzip_types']:\\n from gzip import GzipFile\\n from StringIO import StringIO\\n # Need to specify content_type when uploading from a string!\\n headers['Content-Type'] = content_type\\n headers['Content-Encoding'] = 'gzip'\\n s = StringIO()\\n g = GzipFile(fileobj=s, mode='wb')\\n with open(filename, 'rb') as f:\\n g.write(f.read())\\n g.close()\\n k.set_contents_from_string(s.getvalue(), headers)\\n else:\\n k.set_contents_from_filename(filename, headers)\\n\\n if files:\\n # Upload individual files\\n if directory:\\n keys = [filename.lstrip('/') for filename in files]\\n files = [os.path.join(directory, filename) for filename in files]\\n else:\\n keys = [os.path.split(filename)[1] for filename in files]\\n for i, filename in enumerate(files):\\n print 'Uploading %s' % keys[i]\\n if prefix:\\n key = prefix + keys[i]\\n else:\\n key = keys[i]\\n __upload(key, filename)\\n elif directory:\\n # Upload an entire directory\\n def __upload_dir(arg, dirname, names):\\n # arg is the starting directory\\n for name in names:\\n filename = os.path.join(dirname, name)\\n if not os.path.isdir(filename) and not os.path.islink(filename) and not name.startswith('.'):\\n key = filename[len(arg):]\\n if key.startswith('/'):\\n key = key[1:]\\n if prefix:\\n key = prefix + key\\n print 'Uploading %s' % key\\n __upload(key, filename)\\n os.path.walk(directory, __upload_dir, directory)\",\n \"def upload_file_to_s3(self, file_data):\\r\\n\\r\\n file_key = file_data.name + datetime.now(UTC).strftime(\\r\\n xqueue_interface.dateformat\\r\\n )\\r\\n\\r\\n file_data.seek(0)\\r\\n s3_public_url = upload_to_s3(\\r\\n file_data, file_key, self.s3_interface\\r\\n )\\r\\n\\r\\n return s3_public_url\",\n \"def pushToS3()-> None:\\n logging.info(f\\\"Connecting to s3 {getTime()}\\\")\\n s3 = boto3.client(\\\"s3\\\",endpoint_url=\\\"http://localhost:4566\\\")\\n if(not s3.head_bucket(Bucket=\\\"demo\\\")):\\n s3.create_bucket(Bucket='demo')\\n try:\\n logging.info(f\\\"Uploading to s3 {getTime()}\\\")\\n s3.upload_file(\\\"result.csv\\\",\\\"demo\\\",\\\"result.csv\\\")\\n logging.info(f\\\"Finished uploding to s3 {getTime()}\\\")\\n except ClientError as e:\\n logging.error(f\\\"Error uploading file to S3 {getTime()}\\\")\",\n \"def _s3_stash(self):\\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\\n bucketpath = BUCKET.strip(\\\"/\\\")\\n bucketbase = BUCKET.split(\\\"/\\\")[0]\\n parts = urlparse.urlsplit(s3_url)\\n mimetype = 'application/xml' \\n \\n conn = boto.connect_s3()\\n\\n try:\\n bucket = conn.get_bucket(bucketbase)\\n except boto.exception.S3ResponseError:\\n bucket = conn.create_bucket(bucketbase)\\n self.logger.info(\\\"Created S3 bucket {}\\\".format(bucketbase))\\n\\n if not(bucket.get_key(parts.path)):\\n key = bucket.new_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"created {0}\\\".format(s3_url)\\n self.logger.info(msg)\\n else:\\n key = bucket.get_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"re-uploaded {}\\\".format(s3_url)\\n self.logger.info(msg)\",\n \"def upload_file(file_name, s3_key):\\n # Upload the file\\n s3_connection = boto.connect_s3(aws_access_key_id, aws_secret_access_key)\\n bucket = s3_connection.get_bucket(predator_bucket_name)\\n try:\\n key = boto.s3.key.Key(bucket, s3_key)\\n key.set_contents_from_filename(file_name)\\n except ClientError as e:\\n logging.error(e)\\n return False\\n return True\",\n \"def upload_to_s3(self, name, file_name):\\n f = open(file_name, \\\"r\\\")\\n path = \\\"cluster/\\\" + name + \\\"/\\\" + os.path.basename(file_name)\\n bucket = self.s3.get_bucket(self.__secrets_bucket__)\\n k = Key(bucket)\\n k.name = path\\n\\n try:\\n k.set_contents_from_file(f)\\n except Exception as e:\\n print \\\"[-] Error uploading file to s3\\\"\\n print e\\n\\n print \\\"[+] Uploaded {0}\\\".format(\\\"s3://\\\" + self.__secrets_bucket__ + \\\"/\\\" + path)\\n\\n return\",\n \"def upload_from_path_to_s3(file_path):\\n bucket_name = \\\"alp-reports-lambda\\\"\\n environment = \\\"dev\\\" if os.environ.get('LOCAL') else \\\"prod\\\"\\n object_key = f\\\"{environment}/835/{file_path.split('/')[-1]}\\\"\\n\\n s3 = boto3.resource('s3')\\n s3.Object(bucket_name, object_key).upload_file(file_path, ExtraArgs={'ACL': 'public-read'})\\n\\n return f\\\"https://s3.amazonaws.com/{bucket_name}/{object_key}\\\"\",\n \"def upload_file(local_path, s3_path):\\n with open(local_path, 'rb') as binary_data:\\n s3.Bucket(bucket_name).put_object(Key=s3_path, Body=binary_data)\",\n \"def store_to_s3():\\n\\n try:\\n # establish aws/s3 connection\\n s3 = boto3.client('s3',\\n aws_access_key_id=ACCESS_KEY,\\n aws_secret_access_key=SECRET_KEY\\n )\\n logger.info(\\\"S3 connection established!\\\")\\n except Exception as e:\\n logger.error('Fail to connect to aws s3. Please check your credentials!')\\n logger.error(e)\\n else:\\n try:\\n # upload local file to S3 bucket\\n logger.info(\\\"Uploading {} to {} bucket as {}\\\".format(config.Local_File_To_Upload,\\n config.Bucket_Name,\\n config.S3_Filename))\\n s3.upload_file(config.Local_File_To_Upload,\\n config.Bucket_Name,\\n config.S3_Filename)\\n logger.info('File successfully uploaded to S3 bucket!')\\n except FileNotFoundError:\\n logger.error('File not found, pleas check the file path.')\\n except Exception as e:\\n logger.error(e)\",\n \"def upload_to_s3(file_name, bucket, key): \\n s3 = boto3.resource('s3') \\n try:\\n s3.meta.client.upload_file(file_name, bucket, key)\\n print(\\\"s3 upload success -- uploaded \\\" + file_name + \\\" to the bucket: \\\" + bucket)\\n except ClientError as e:\\n logging.error(e)\\n return False\\n print(\\\"s3 upload error occurs\\\", e)\\n return True\",\n \"def upload(\\n bucket: str, key: str, filename: str, session: Optional[boto3.Session] = None\\n) -> None:\\n s3_client = _get_client(session)\\n LOGGER.info(\\\"uploading %s to s3://%s/%s...\\\", filename, bucket, key)\\n s3_client.upload_file(Filename=filename, Bucket=bucket, Key=key)\",\n \"def upload(jsonfiles):\\n # clear S3 Bucket\\n bucket = S3Bucket()\\n bucket.clear()\\n for jsonfile in jsonfiles:\\n filename = os.path.basename(jsonfile)\\n key = build_key(filename)\\n logging.info(\\\"%s %s\\\", filename, key)\\n # store json in S3 object\\n bucket.store(key, jsonfile)\",\n \"def upload_object(self, file_path, s3_path):\\n logging.info(\\\"Uploading file to \\\\\\\"{}\\\\\\\" to S3\\\".format(s3_path))\\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\\n self.s3_resource.Bucket(bucket_name).upload_file(file_path, key)\",\n \"def upload_package(self, filename=None):\\n logger.info(\\\"Uploading the package to S3\\\")\\n s3f = S3FunctionUploader(self.function_config['Code']['S3Bucket'])\\n self.s3_filename = path.join(\\n self.function_config['Code']['S3KeyPath'],\\n path.basename(filename or self.local_filename)\\n )\\n s3f.upload(filename or self.local_filename,\\n self.s3_filename)\",\n \"def upload_project(self, workflow_snapshot_id: Text, project_path: Text) -> Text:\\n with tempfile.TemporaryDirectory() as temp_dir:\\n zip_file_name = 'workflow_{}_project.zip'.format(workflow_snapshot_id)\\n temp_dir_path = Path(temp_dir)\\n zip_file_path = temp_dir_path / zip_file_name\\n make_dir_zipfile(project_path, zip_file_path)\\n with open(zip_file_path, 'rb') as f:\\n self.s3_client.upload_fileobj(f, self.bucket_name, zip_file_name)\\n return zip_file_name\",\n \"def upload(self, bucket_name, key_name, fname):\\n bucket = self.s3_.get_bucket(bucket_name)\\n key = boto.s3.key.Key(bucket)\\n with open(fname, 'rb') as infile:\\n key.key = key_name\\n return key.set_contents_from_file(infile)\",\n \"def save_to_s3(bucket, path, data, compress=False):\\n bucket = get_bucket(bucket)\\n\\n key = Key(bucket)\\n key.key = path\\n logger.debug(\\\"Uploading to %s\\\", key.key)\\n\\n if compress:\\n mock_file = BytesIO()\\n gzip_obj = gzip.GzipFile(filename='gzipped_file', mode='wb', fileobj=mock_file)\\n if isinstance(data, str):\\n data = data.encode('utf-8')\\n gzip_obj.write(data)\\n gzip_obj.close()\\n data = mock_file.getvalue()\\n\\n key.set_contents_from_string(data)\",\n \"def upload_data_to_s3(data: dict, bucket_name: str, object_key: str) -> None:\\n uploader = S3Uploader(bucket_name)\\n with tempfile.NamedTemporaryFile(mode=\\\"w+\\\") as local_file:\\n json.dump(data, local_file, cls=FancyJsonEncoder, indent=\\\" \\\", sort_keys=True)\\n local_file.write(\\\"\\\\n\\\")\\n local_file.flush()\\n uploader(local_file.name, object_key)\",\n \"def _upload_file_to_aws(aws_upload_details):\\n # Step 1: get the request signed\\n sig_uri = aws_upload_details['signature']\\n\\n now = dt.datetime.utcnow()\\n expires = now + dt.timedelta(hours=1)\\n now_ts = timegm(now.timetuple())\\n key = 'data_imports/%s.%s' % (filename, now_ts)\\n\\n payload = {}\\n payload['expiration'] = expires.isoformat() + 'Z'\\n payload['conditions'] = [\\n {'bucket': aws_upload_details['aws_bucket_name']},\\n {'Content-Type': 'text/csv'},\\n {'acl': 'private'},\\n {'success_action_status': '200'},\\n {'key': key}\\n ]\\n\\n sig_result = requests.post(main_url + sig_uri,\\n headers=upload_header,\\n data=json.dumps(payload))\\n if sig_result.status_code != 200:\\n msg = \\\"Something went wrong with signing document.\\\"\\n raise RuntimeError(msg)\\n else:\\n sig_result = sig_result.json()\\n\\n # Step 2: upload the file to S3\\n upload_url = \\\"http://%s.s3.amazonaws.com/\\\" % (aws_upload_details['aws_bucket_name'])\\n\\n # s3 expects multipart form encoding with files at the end, so this\\n # payload needs to be a list of tuples; the requests library will encode\\n # it property if sent as the 'files' parameter.\\n s3_payload = [\\n ('key', key),\\n ('AWSAccessKeyId', aws_upload_details['aws_client_key']),\\n ('Content-Type', 'text/csv'),\\n ('success_action_status', '200'),\\n ('acl', 'private'),\\n ('policy', sig_result['policy']),\\n ('signature', sig_result['signature']),\\n ('file', (filename, open(upload_filepath, 'rb')))\\n ]\\n\\n result = requests.post(upload_url,\\n files=s3_payload)\\n\\n if result.status_code != 200:\\n msg = \\\"Something went wrong with the S3 upload: %s \\\" % result.reason\\n raise RuntimeError(msg)\\n\\n # Step 3: Notify SEED about the upload\\n completion_uri = aws_upload_details['upload_complete']\\n completion_payload = {\\n 'import_record': upload_dataset_id,\\n 'key': key,\\n 'source_type': upload_datatype\\n }\\n return requests.post(main_url + completion_uri,\\n headers=upload_header,\\n data=completion_payload)\",\n \"def test_put_file(self):\\n self.prepare_uploads()\\n backend = BackendS3(**self.config)\\n uploads = self.upload_path\\n src = os.path.join(uploads, 'demo-test.tar.gz')\\n id = utils.generate_id('demo-test.tar.gz')\\n backend.put(src, id)\\n path = '/'.join(backend.id_to_path(id)) + '/demo-test.tar.gz'\\n self.assertTrue(backend.exists(path))\",\n \"def upload_file_s3(file_name, bucket):\\n\\n # If S3 object_name was not specified, use file_name \\n try:\\n response = s3_client.upload_file(file_name,\\n bucket, \\n file_name.replace('../',''))\\n print(\\\"Uploaded \\\" + file_name)\\n except ClientError as e:\\n print(\\\"Failed to upload \\\" + file_name)\\n logging.error(e)\\n return False\\n return True\",\n \"def upload_to_aws(local_file, bucket, s3_file, access_key, secret_key):\\n s3 = boto3.client('s3', aws_access_key_id=access_key,\\n aws_secret_access_key=secret_key)\\n \\n try:\\n s3.upload_file(local_file, bucket, s3_file)\\n print(f'Upload of {local_file} to {bucket} as {s3_file} successful.')\\n return True\\n except FileNotFoundError:\\n print(f'File {local_file} not found.')\\n return False\\n except NoCredentialsError:\\n print('Credentials invalid or not available.')\\n return False\",\n \"def _upload(self, errors):\\n if self.backup_bucket is None:\\n return\\n\\n try:\\n with open(\\\"%s/%s.tar.gz\\\"%(self.backup_path, self.name), 'r+') as f:\\n s3upload.upload_to_s3(f,\\n self.backup_bucket,\\n \\\"%s/%s.tar.gz\\\"%(self.backup_id, self.name))\\n\\n # Cleaning up resources, since the upload was successful\\n run(\\\"rm -f %s/%s.tar.gz\\\"%(self.backup_path, self.name))\\n except Exception as e:\\n logging.exception(e)\\n errors.put(Exception(\\\"Error uploading %s server backup to S3\\\" % self.name))\\n traceback.print_exc()\",\n \"def sync_to_bucket(s3_url,\\n region='eu-west-1',\\n profile_name=None):\\n\\n parsed_s3_url = urlparse.urlparse(s3_url);\\n\\n bucket_name = parsed_s3_url.hostname;\\n key_prefix = parsed_s3_url.path;\\n if key_prefix[0] == '/':\\n key_prefix = key_prefix[1:]\\n if key_prefix[-1] != '/':\\n key_prefix = key_prefix + '/'\\n\\n def inner(fn_inner):\\n \\\"\\\"\\\"\\n Decorator function function sent in should be having signature\\n func(None,None, XmlDoc) and should yield JSON document one for\\n each file that should be persisted to S3\\n \\\"\\\"\\\"\\n\\n def handler(event, context):\\n \\\"\\\"\\\"\\n The AWS Lambda Entry Point\\n \\\"\\\"\\\"\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\\n\\n return handler\\n\\n return inner\",\n \"def upload_to_s3(bucket_name, sourceDir):\\n try:\\n client = boto3.client('s3')\\n resource = boto3.resource('s3')\\n except ClientError as err:\\n print(\\\"Failed to create boto3 client.\\\\n\\\" + str(err))\\n return False\\n try:\\n # clean the bucket\\n bucket = resource.Bucket(bucket_name)\\n for key in bucket.objects.all():\\n key.delete()\\n\\n # upload the new files\\n uploadFileNames = getFiles(sourceDir)\\n print(\\\"Found \\\" + len(uploadFileNames).__str__() + ' files')\\n\\n for filename in uploadFileNames:\\n destName = os.path.join(*(filename.split('/')[1:]))\\n print(\\\"Uploading file \\\" + filename + ' to ' + destName)\\n resource.Object(bucket_name, destName).put(Body=open(filename, 'rb'),\\n ContentType=get_contenttype_from_filename(filename))\\n\\n except ClientError as err:\\n print(\\\"Failed to upload artefact to S3.\\\\n\\\" + str(err))\\n return False\\n except IOError as err:\\n print(\\\"Failed to access artefact in this directory.\\\\n\\\" + str(err))\\n return False\\n\\n return True\",\n \"def upload_file(conn, filename_local, filename_s3, gzip=False):\\n\\n filename_s3 = filename_s3.lstrip('./')\\n\\n file_descriptor = open(filename_local, 'rb')\\n content = file_descriptor.read()\\n\\n content_type = _get_content_type(file_descriptor)\\n headers = _get_headers(content_type)\\n\\n #should compress if the file is compressable and gzip is enabled\\n can_be_gzipped = _file_can_be_compressed(filename_local)\\n if gzip and can_be_gzipped:\\n content = _compress_string(content)\\n headers['Content-Length'] = str(len(content))\\n headers['Content-Encoding'] = 'gzip'\\n extension = mimetypes.guess_extension(content_type)\\n #we should not overwrite the original file in the server.\\n #We change extensions: style.css --> style.gz.css, for instance\\n filename_s3 = filename_s3.rstrip(extension) + '.gz' + extension\\n\\n #if gzip is enabled and it is not compressable, don't upload nothing at all\\n elif gzip and not can_be_gzipped:\\n return\\n\\n #upload\\n print 'Uploading %s to %s' % (filename_local, filename_s3)\\n _put(conn, filename_s3, content, headers=headers)\\n file_descriptor.close()\",\n \"def upload_to_s3(file_from_machine, bucket, file_to_s3):\\n s3.upload_file(file_from_machine, bucket, file_to_s3)\\n print(file_to_s3, \\\" : is upoaded to s3\\\")\",\n \"def upload_files_to_S3(sourceDir, bucket_name, destDir, aws_access_key_id=None, aws_secret_access_key=None):\\n\\n # set up the connection to the AWS Bucket.\\n if aws_access_key_id == None or aws_secret_access_key == None:\\n client = boto3.client(service_name='s3', aws_access_key_id=None, aws_secret_access_key=None)\\n else:\\n client = boto3.client(service_name='s3', aws_access_key_id=aws_access_key_id,\\n aws_secret_access_key=aws_secret_access_key)\\n transfer = boto3.s3.transfer.S3Transfer(client)\\n\\n # Get a list of all the files that have already been uploaded to S3\\n MyS3Objects = [s.key for s in boto3.resource('s3').Bucket(bucket_name).objects.filter(Prefix=destDir)]\\n\\n\\n\\n\\n uploadFileNames = files_to_upload(sourceDir)\\n\\n #print(sourceDir)\\n #print(uploadFileNames)\\n\\n\\n UploadCounter = 0\\n\\n for filename in uploadFileNames:\\n sourcepath = filename[0]\\n destpath = destDir + '/' + filename[1]\\n\\n # If the file is already on S3, don't upload it again\\n if destpath in MyS3Objects:\\n print(destpath, \\\" is already on S3\\\")\\n continue\\n\\n UploadCounter += 1\\n if UploadCounter % 100 == 0: print(\\\"Files Uploaded:\\\", UploadCounter)\\n\\n # print ('Uploading %s to Amazon S3 bucket %s' % (sourcepath, bucket_name))\\n\\n transfer.upload_file(sourcepath, bucket_name, destpath)\\n\\n print(\\\"All the files have been uploaded!\\\")\",\n \"def upload_file(Filename=None, Bucket=None, Key=None, ExtraArgs=None, Callback=None, Config=None):\\n pass\",\n \"def test_upload_file_to_s3_bucket(self):\\n conn = boto3.resource('s3', region_name='us-east-1')\\n # We need to create the bucket since this is all in Moto's 'virtual' AWS account\\n conn.create_bucket(Bucket='foobucket')\\n\\n s3_connector = S3Connector()\\n s3_connector.connect(\\\"default\\\")\\n s3_connector.upload_file(\\n file_path=\\\"test/test_resources/test_file\\\", file_name=\\\"foofile\\\", bucket_name=\\\"foobucket\\\")\\n\\n # get bucket contents\\n response = boto3.client('s3').list_objects(Bucket=\\\"foobucket\\\")\\n contents = []\\n for content in response.get('Contents', []):\\n contents.append(content.get('Key'))\\n\\n self.assertEqual(contents, [\\\"foofile\\\"])\",\n \"def upload(filename, bucket):\\n k = Key(bucket)\\n k.key = uuid.uuid1().hex\\n print \\\"Uploading batch to {}, key: {}...\\\".format(bucket.name, k.key)\\n k.set_contents_from_filename(filename, reduced_redundancy=True)\\n print \\\" Done.\\\"\\n \\n\\n\\n bucket = openBucket(dest)\",\n \"def upload(file_path, aws_path, access_key, secret_key) -> None:\\n # bucket = \\\"dev-com-courtlistener-storage\\\"\\n bucket = \\\"seals.free.law\\\"\\n client = boto3.client(\\n \\\"s3\\\",\\n aws_access_key_id=access_key,\\n aws_secret_access_key=secret_key,\\n )\\n transfer = S3Transfer(client)\\n if \\\".png\\\" in file_path:\\n content_type = \\\"image/png\\\"\\n else:\\n content_type = \\\"image/svg+xml\\\"\\n transfer.upload_file(\\n file_path,\\n bucket,\\n aws_path,\\n extra_args={\\\"ContentType\\\": content_type, \\\"ACL\\\": \\\"public-read\\\"},\\n )\\n print(f\\\"http://{bucket}.s3-us-west-2.amazonaws.com/{aws_path}\\\")\",\n \"def upload_object(object_location: ObjectLocation, stream: io.BytesIO) -> None:\\n s3 = boto3.client(\\\"s3\\\")\\n result = s3.upload_fileobj(stream, object_location.bucket.name, object_location.key)\\n log.debug(f\\\"Result of upload to {object_location}: {result}\\\")\",\n \"def store_s3_contents ( s3_conn, bucket_name, key_name, key_contents = None, key_contents_filename = None ) :\\n bucket = s3_conn.get_bucket( bucket_name )\\n key = boto.s3.key.Key( bucket )\\n key.key = key_name\\n if ( key_contents_filename ) :\\n key.set_contents_from_filename( key_contents_filename )\\n else :\\n key.set_contents_from_string( key_contents )\",\n \"def upload_to_s3(file_path, config):\\n logging.info(\\\"Uploading file to S3 bucket: %s\\\", config['s3_bucket_name'])\\n s3 = boto3.resource('s3')\\n s3_filename = config['s3_bucket_path'] + config['rendered_filename']\\n s3.Bucket(config['s3_bucket_name']).upload_file(\\n file_path, s3_filename, ExtraArgs={\\n 'ContentType': 'text/html', 'ACL': 'public-read'})\",\n \"def cp(self, source: str, filename: str) -> None:\\n\\n now = datetime.datetime.utcnow()\\n timestamp = now.strftime('%a, %d %b %Y %H:%M:%S GMT')\\n headers = [\\n ('Connection', 'keep-alive'),\\n ('Content-Length', '0'),\\n ('Date', timestamp),\\n ('Host', '%s.s3.amazonaws.com' % self.bucket),\\n ('x-amz-content-sha256', _EMPTY_SHA256_HASH),\\n ('x-amz-copy-source', '/%s%s' % (self.bucket, source)),\\n ]\\n signed_headers = ';'.join(header[0].lower() for header in headers)\\n canonical_request = 'PUT\\\\n%s\\\\n\\\\n%s\\\\n\\\\n%s\\\\n%s' % (filename, '\\\\n'.join(\\n ('%s:%s' % (header[0].lower(), header[1])\\n for header in headers)), signed_headers, _EMPTY_SHA256_HASH)\\n logging.debug('canonical request %r',\\n canonical_request.encode('utf-8'))\\n string_to_sign = 'AWS4-HMAC-SHA256\\\\n%s\\\\n%s\\\\n%s' % (\\n timestamp, self.scope,\\n hashlib.sha256(canonical_request.encode('utf-8')).hexdigest())\\n logging.debug('string to sign %r', string_to_sign.encode('utf-8'))\\n\\n signature = hmac.new(self.signing_key,\\n string_to_sign.encode('utf-8'),\\n digestmod='sha256').hexdigest()\\n headers.append((\\n 'Authorization',\\n 'AWS4-HMAC-SHA256 Credential=%s/%s,SignedHeaders=%s,Signature=%s' %\\n (self.aws_access_key, self.scope, signed_headers, signature)))\\n if not self.conn:\\n self.conn = http.client.HTTPSConnection('%s.s3.amazonaws.com' %\\n self.bucket)\\n try:\\n self.conn.request('PUT', filename, headers=dict(headers))\\n res = self.conn.getresponse()\\n payload = res.read()\\n except (http.client.BadStatusLine, http.client.ResponseNotReady,\\n http.client.CannotSendRequest):\\n self.conn.close()\\n raise\\n if res.status != 200:\\n raise Exception(payload.decode('utf-8'))\",\n \"def aws_s3_upload(self):\\n\\n # absolute path to the csv file to create\\n csv_file = os.path.join(self.csvfile, \\\"DLTINS_20210117_01of01.csv\\\")\\n\\n # Test for correct data\\n self.assertTrue(\\n aws_s3_upload(\\n csv_file,\\n self.region_name,\\n self.aws_access_key_id,\\n self.aws_secret_access_key,\\n self.bucket_name,\\n )\\n )\\n\\n # Test for non existent bucket\\n self.assertFalse(\\n aws_s3_upload(\\n csv_file,\\n \\\"useast\\\",\\n self.aws_access_key_id,\\n self.aws_secret_access_key,\\n self.bucket_name,\\n )\\n )\\n\\n # Test for non existent region\\n self.assertFalse(\\n aws_s3_upload(\\n csv_file,\\n self.region_name,\\n self.aws_access_key_id,\\n self.aws_secret_access_key,\\n \\\"nonexistentbucketname\\\",\\n )\\n )\\n\\n # Test for incorrect keys\\n self.assertFalse(\\n aws_s3_upload(\\n csv_file,\\n self.region_name,\\n \\\"xjvachiahvlchabo;jvbo\\\",\\n \\\"khkc vah haaih aih ika\\\",\\n self.bucket_name,\\n )\\n )\",\n \"def upload_file_to_bucket(s3_client, file_obj, bucket, folder, object_name=None):\\n # If S3 object_name was not specified, use file_name\\n if object_name is None:\\n object_name = file_obj\\n\\n # Upload the file\\n try:\\n response = s3_client.upload_fileobj(file_obj, bucket, f\\\"{folder}/{object_name}\\\")\\n print(response)\\n except ClientError:\\n return False\\n return True\",\n \"def _upload_to_s3(filename):\\n if not app.config.get('UPLOAD_SCREENSHOTS_TO_S3', False):\\n return\\n\\n import boto\\n from boto.s3.key import Key\\n conn = boto.connect_s3()\\n b = conn.get_bucket(app.config['S3_BUCKET'])\\n k = Key(b)\\n k.key = '{}/{}'.format(\\n app.config.get('S3_FILES_PREFIX', 'sleepypuppy'),\\n filename\\n )\\n k.set_contents_from_filename(\\n \\\"{}/{}\\\".format(\\n app.config['UPLOAD_FOLDER'],\\n filename\\n )\\n )\\n os.remove(\\n \\\"{}/{}\\\".format(\\n app.config['UPLOAD_FOLDER'],\\n filename\\n )\\n )\",\n \"def save_file_aws(obj, file_path, aws_credentials):\\n bucket_engine = S3Bucket(*aws_credentials)\\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\\n bucket_engine.write(file_path, data)\",\n \"def store_file(self, key, local_file):\\n\\t\\t\\n\\t\\ttry:\\n\\t\\t\\tdata = open(local_file, 'r').read()\\n\\t\\t\\tself.s3.put(\\n\\t\\t\\t\\tself.bucket,\\n\\t\\t\\t\\tkey,\\n\\t\\t\\t\\tS3Object(data), {\\n\\t\\t\\t\\t\\t'Content-Type': 'application/x-bzip2',\\n\\t\\t\\t\\t\\t'x-amz-acl': 'private',\\n\\t\\t\\t\\t\\t'Content-Length': len(data)\\n\\t\\t\\t\\t}\\n\\t\\t\\t)\\n\\t\\texcept:\\n\\t\\t\\treturn False\",\n \"def upload(self, path, key, extra_args={}):\\n if key.endswith(\\\"/\\\"):\\n key += os.path.basename(path)\\n if key.startswith(\\\"/\\\"):\\n key = key[1:]\\n remote_path = self.base.full_cell + \\\"/\\\" + key\\n self.s3.meta.client.upload_file(path, self.bucket, remote_path, ExtraArgs=extra_args)\\n print \\\"UPLOADED {} to s3://{}/{}\\\".format(path, self.bucket, remote_path)\",\n \"def _upload_to_s3(s3_uploader, relative_path, file_path, filename):\\n try:\\n key = os.path.join(s3_uploader[\\\"key_prefix\\\"], relative_path, filename)\\n s3_uploader[\\\"transfer\\\"].upload_file(file_path, s3_uploader[\\\"bucket\\\"], key)\\n except FileNotFoundError: # noqa ignore=F821\\n # Broken link or deleted\\n pass\\n except Exception: # pylint: disable=broad-except\\n logger.exception(\\\"Failed to upload file to s3.\\\")\\n finally:\\n # delete the original file\\n if os.path.exists(file_path):\\n os.remove(file_path)\",\n \"def upload_file(cls, uri, fobj):\\n # Breaks the URI into usable componenents.\\n values = get_values_from_media_uri(uri)\\n logger.debug(\\\"S3Backend.upload_file(): Received: %s\\\" % values)\\n\\n conn = cls._get_aws_s3_connection(values['username'],\\n values['password'])\\n bucket = conn.create_bucket(values['host'])\\n key = bucket.new_key(values['path'])\\n\\n logger.debug(\\\"S3Backend.upload_file(): \\\"\\\\\\n \\\"Settings contents of '%s' key from %s\\\" % (\\n values['path'], fobj.name))\\n key.set_contents_from_filename(fobj.name)\\n\\n logger.debug(\\\"S3Backend.upload_file(): Upload complete.\\\")\\n return key\",\n \"def upload_file(file_name, bucket):\\r\\n object_name = file_name\\r\\n s3_client = boto3.client('s3')\\r\\n response = s3_client.upload_file(file_name, bucket, object_name)\\r\\n\\r\\n return response\",\n \"def upload_to_s3(bucket, file_path, prefix, timestamp):\\n upload_name = f'{prefix}_{timestamp or \\\"\\\"}{basename(file_path)}'\\n\\n try:\\n bucket.upload_file(file_path, upload_name)\\n syslog.syslog(syslog.LOG_INFO,\\n f'Uploaded {file_path} to S3 Bucket - {bucket.name}')\\n return True\\n except S3UploadFailedError as s3ex:\\n syslog.syslog(\\n syslog.LOG_ERR, f'Failed to upload {file_path} to S3 Bucket - {bucket_name} - {s3ex}')\\n return False\\n finally:\\n rm(file_path)\",\n \"def singlePartUpload(self, eachfiledic):\\n self.CalculateMd5OfEachFile(eachfiledic)\\n fileobj = open(eachfiledic[\\\"filepath\\\"], 'rb')\\n toReturn = False\\n try:\\n response = client.put_object(Body=fileobj, Bucket=self.bucketName,\\n Key=eachfiledic[\\\"filename\\\"], ContentMD5=eachfiledic[\\\"md5\\\"])\\n s3Log.info (\\\"{} got uploaded on s3 bucket = {}\\\\n\\\".format(eachfiledic[\\\"filepath\\\"], self.bucketName))\\n toReturn = True\\n except (ClientError, boto3.exceptions.S3UploadFailedError) as e:\\n s3Log.error (\\\"FAILED TO UPLOAD file:{}\\\\n\\\".format(eachfiledic[\\\"filename\\\"]) )\\n if \\\"Error\\\" in e.response:\\n s3Log.error(e.response[\\\"Error\\\"])\\n\\n fileobj.close()\\n return toReturn\",\n \"def upload_folder_to_s3(folder_path, s3_uri, connection=None):\\n\\n if connection:\\n run_out = connection.run(f\\\"aws s3 cp --recursive {folder_path}/ {s3_uri}/\\\")\\n else:\\n run_out = run(f\\\"aws s3 cp --recursive {folder_path}/ {s3_uri}/\\\")\\n\\n return run_out.return_code\",\n \"def uploadFilestoS3(self):\\n allfilesuploadedcount = 0\\n for eachfiledic in self.fileTobeUploaded:\\n if eachfiledic[\\\"uploadedSuccess\\\"] == 0: #Means this file never got uploaded.\\n if os.path.getsize(eachfiledic[\\\"filepath\\\"]) < 1000000000: #<1GB\\n s3Log.info (\\\"FileSize < 1GB for :{}, so using single part upload.\\\".format(eachfiledic[\\\"filepath\\\"]) )\\n if self.singlePartUpload(eachfiledic) == True:\\n eachfiledic[\\\"uploadedSuccess\\\"] = 1\\n allfilesuploadedcount = allfilesuploadedcount + 1\\n else:\\n s3Log.info (\\\"FileSize > 1GB for :{}, so using Multi Part upload. \\\\n\\\".format(eachfiledic[\\\"filepath\\\"]) )\\n if self.multiPartUpload(eachfiledic) == True:\\n eachfiledic[\\\"uploadedSuccess\\\"] = 1\\n allfilesuploadedcount = allfilesuploadedcount + 1\\n\\n\\n elif eachfiledic[\\\"uploadedSuccess\\\"] == 1: #Means it got uploaded in the last run.\\n allfilesuploadedcount = allfilesuploadedcount + 1\\n\\n self.saveStateOfThisRun()\\n if len(self.fileTobeUploaded) == allfilesuploadedcount: #Means we uploaded all files in the queue\\n return True\\n else:\\n return False\",\n \"def put(self, file_path, key=None):\\n try:\\n key_name = key if key else os.path.basename(file_path)\\n size = os.stat(file_path).st_size\\n if size < 104857600: #100 mb\\n k = Key(self.bucket)\\n k.key = key_name\\n sent = k.set_contents_from_filename(file_path)\\n log.info('Uploading %s to S3 (%s)' % (key_name, self.bucket_name))\\n return sent == size\\n else:\\n log.info('Multipart Uploading %s to S3 (%s)' % (key_name, self.bucket_name))\\n mp = self.bucket.initiate_multipart_upload(key_name)\\n chunk_size = 52428800\\n chunk_count = int(math.ceil(size / float(chunk_size)))\\n #Send the file parts, using FileChunkIO to create a file-like object\\n # that points to a certain byte range within the original file. We\\n # set bytes to never exceed the original file size.\\n for i in range(chunk_count):\\n offset = chunk_size * i\\n bytes = min(chunk_size, size - offset)\\n with FileChunkIO(file_path, 'r', offset=offset, bytes=bytes) as fp:\\n mp.upload_part_from_file(fp, part_num=i + 1)\\n # Finish the upload\\n mp.complete_upload()\\n return True\\n except Exception, e:\\n log.error('Failed to upload to S3 (%s)' % (self.bucket_name), exc_info=True)\\n return False\",\n \"def upload_to_s3(channel, file):\\n s3_resource = boto3.resource('s3')\\n data = open(file, \\\"rb\\\")\\n key = channel + '/' + file\\n s3_resource.Bucket(BUCKET).put_object(Key=key, Body=data)\",\n \"def upload_file(self, key, filepath, access, keep_original=True,\\n verbose=False):\\n\\n # file entry\\n try:\\n file_entry = self.bucket.new_key(key)\\n file_entry.set_metadata('filepath', filepath)\\n file_entry.set_contents_from_filename(filepath)\\n file_entry.set_acl(access) # access control\\n except Exception as error:\\n print str(error)\\n return False\\n else:\\n if verbose:\\n print \\\"{} uploaded to amazon s3.\\\".format(key)\\n\\n # original file removal\\n if not keep_original and os.access(filepath, os.W_OK):\\n try:\\n os.remove(filepath)\\n except (IOError, OSError):\\n print \\\"I/O error, could not remove file.\\\"\\n else:\\n if verbose:\\n print \\\"{} (original) removed\\\".format(filepath)\\n\\n return True\",\n \"def s3_sync(s3_bucket, s3_prefix, sync_path=\\\".\\\"):\\n # Get bucket\\n s3_resource = boto3.resource(\\\"s3\\\")\\n bucket = s3_resource.Bucket(s3_bucket)\\n\\n # Walk paths and subdirectories, uploading files\\n for path, subdirs, files in os.walk(sync_path):\\n # Get relative path prefix\\n relpath = os.path.relpath(path, sync_path)\\n if not relpath.startswith('.'):\\n prefix = os.path.join(s3_prefix, relpath)\\n else:\\n prefix = s3_prefix\\n\\n for file in files:\\n file_key = os.path.join(prefix, file)\\n bucket.upload_file(os.path.join(path, file), file_key)\",\n \"def writeFileToS3(self, keyname, path, mimetype=None, acl=\\\"public-read\\\"):\\n try:\\n k = Key(self.BUCKET)\\n k.key = keyname\\n k.set_metadata('Content-Type', mimetype or self.getMime(keyname))\\n k.set_contents_from_filename(path)\\n k.set_acl(acl)\\n return True\\n except IOError, e:\\n print 'Could not write file to S3:', e\\n return False\",\n \"def _upload_file(file_name, bucket, object_name):\\n\\n # If S3 object_name was not specified, use file_name\\n if object_name is None:\\n object_name = file_name\\n\\n # Upload the file\\n try:\\n s3.upload_file(file_name, bucket, object_name)\\n except ClientError as e:\\n logging.error(e)\\n return False\\n return True\",\n \"def upload_file_to_s3(file_path, bucket, object_name=None, access_key_id=None,\\n secret_access_key=None):\\n if object_name is None:\\n object_name = Path(file_path).name\\n\\n try:\\n s3_client = boto3.client(\\n \\\"s3\\\",\\n aws_access_key_id=access_key_id,\\n aws_secret_access_key=secret_access_key\\n )\\n\\n s3_client.upload_file(file_path, bucket, object_name)\\n except ClientError:\\n raise\",\n \"def copy_to_s3(self):\\n self.logger.logMsg(\\\"Copying Files to S3\\\")\\n str_time = datetime.datetime.today().strftime('%Y%m%d')\\n out_file = \\\"{}/{}.csv\\\".format(self.outpath, str_time)\\n\\n try:\\n session = boto3.Session(profile_name='default')\\n s3_resource = session.resource('s3')\\n BUCKET = 'dv-adip-sandbox-8337-us-east-1'\\n rem_file = '{}.csv'.format(str_time)\\n s3_resource.meta.client.upload_file(out_file, BUCKET, rem_file)\\n except Exception as e:\\n self.logger.logError('Error Copying Files to S3 {}'.format(str(e)))\\n raise Exception('Error Copying Files to S3')\\n\\n self.logger.logMsg(\\\"Copying Files to S3 Completed\\\")\\n\\n shutil.move(out_file, self.archive)\",\n \"def upload_file_to_s3(bucket_name, input_filepath, output_filename):\\n s3 = boto3.client(\\\"s3\\\")\\n with open(input_filepath, \\\"rb\\\") as f:\\n s3.upload_fileobj(f, bucket_name, output_filename)\",\n \"def s3(ctx, bucket_name, data_file, region):\\n ctx.obj['BUCKET_NAME'] = bucket_name\\n ctx.obj['DATA_FILE'] = data_file\\n ctx.obj['TYPE'] = 's3'\\n ctx.obj['REGION'] = region\",\n \"def upload_file(s3_client, file_name, object_name=None):\\n\\n # read bucket name from cfg file\\n bucket = config.get('S3', 'LANDING_ZONE')\\n\\n # If S3 object_name was not specified, use file_name\\n if object_name is None:\\n object_name = file_name.split('\\\\\\\\')[-1]\\n\\n # Upload the file\\n try:\\n response = s3_client.upload_file(file_name, bucket, object_name, Callback=ProgressPercentage(file_name))\\n# logger.debug(f\\\"Got response from s3 client for uploading file: {response}\\\")\\n except Exception as e:\\n logger.error(f\\\"Error occurred while upload {file_name} : {e}\\\")\\n return False\\n return True\",\n \"def upload_files_s3(files, bucket):\\n \\n print('************************************')\\n print('Uploading files to s3 bucket...')\\n print('************************************')\\n \\n for i in range(len(files)):\\n upload_file_s3(files[i], bucket)\\n \\n print('************************************')\\n print('Upload complete')\\n print('************************************')\",\n \"def upload_json_to_s3(directory):\\n for f in directory.iterdir():\\n if str(f).endswith('.json'):\\n full_file_path = str(f.parent) + \\\"/\\\" + str(f.name)\\n file_name = str(f.name)\\n s3_client.upload_file(full_file_path, BASE_BUCKET, file_name)\",\n \"def save_to_s3(bucket, key, body):\\n client = boto3.client('s3')\\n s3_log = client.put_object(Body=body, Bucket=bucket, Key=key)\\n \\n if debug:\\n print('s3_log:', s3_log)\",\n \"def upload_file_to_s3(bucket, artefact, bucket_key):\\n try:\\n client = boto3.client('s3')\\n\\n except ClientError as err:\\n print(\\\"Failed to create boto3 client.\\\\n\\\" + str(err))\\n return False\\n\\n try:\\n kwargs = {\\n \\\"Body\\\": open(artefact, 'rb'),\\n \\\"Bucket\\\": bucket,\\n \\\"Key\\\": bucket_key\\n }\\n\\n mime_type, encoding = mimetypes.guess_type(artefact)\\n\\n if mime_type is None:\\n file_name, file_ext = os.path.splitext(artefact)\\n\\n if file_ext == \\\".icon\\\" :\\n kwargs[\\\"ContentType\\\"] = \\\"image/vnd.microsoft.icon\\\"\\n\\n elif file_ext == \\\".woff2\\\" :\\n kwargs[\\\"ContentType\\\"] = \\\"application/font-woff\\\"\\n \\n else:\\n kwargs[\\\"ContentType\\\"] = mime_type\\n\\n client.put_object(**kwargs)\\n\\n except ClientError as err:\\n print(\\\"Failed to upload artefact to S3.\\\\n\\\" + str(err))\\n return False\\n\\n except IOError as err:\\n print(\\\"Failed to access artefact in this directory.\\\\n\\\" + str(err))\\n return False\\n\\n return True\",\n \"def upload_file(self, keyUrl='', body='', ContentType='', bucket=None):\\n \\n if bucket is None:\\n bucket = self.AWS_S3_BUCKET\\n \\n #Verificamos si existe body\\n if body is None:\\n body=''\\n \\n try:\\n self.get_s3_client().put_object(Bucket=bucket, Key=keyUrl, Body=body, ACL='public-read', ContentType=ContentType)\\n return True\\n \\n except ClientError as e:\\n return False\",\n \"def _s3_intermediate_upload(file_obj, file_name, fields, session, callback_url):\\n import boto3\\n from boto3.s3.transfer import TransferConfig\\n from boto3.exceptions import S3UploadFailedError\\n\\n # actually do the upload\\n client = boto3.client(\\n \\\"s3\\\",\\n aws_access_key_id=fields[\\\"upload_aws_access_key_id\\\"],\\n aws_secret_access_key=fields[\\\"upload_aws_secret_access_key\\\"],\\n )\\n\\n multipart_chunksize = _choose_boto3_chunksize(file_obj)\\n\\n # if boto uses threads, ctrl+c won't work\\n config = TransferConfig(use_threads=False, multipart_chunksize=multipart_chunksize)\\n\\n # let boto3 update our progressbar rather than our FASTX wrappers, if applicable\\n boto_kwargs = {}\\n\\n if hasattr(file_obj, \\\"progressbar\\\"):\\n boto_kwargs[\\\"Callback\\\"] = file_obj.progressbar.update\\n file_obj._progressbar = file_obj.progressbar\\n file_obj.progressbar = None\\n\\n for attempt in range(1, 4):\\n try:\\n client.upload_fileobj(\\n file_obj,\\n fields[\\\"s3_bucket\\\"],\\n fields[\\\"file_id\\\"],\\n ExtraArgs={\\\"ServerSideEncryption\\\": \\\"AES256\\\"},\\n Config=config,\\n **boto_kwargs\\n )\\n break\\n except S3UploadFailedError as e:\\n logging.debug(\\\"Caught S3UploadFailedError on attempt {}/3: {}\\\".format(attempt, str(e)))\\n logging.error(\\n \\\"{}: Connectivity issue, retrying upload via intermediary ({}/3)...\\\".format(\\n file_name, attempt\\n )\\n )\\n\\n # rewind the progressbar if possible, then remove so boto3 can update the bar directly\\n if hasattr(file_obj, \\\"_progressbar\\\"):\\n file_obj.progressbar = file_obj._progressbar\\n file_obj.seek(0)\\n file_obj.progressbar = None\\n else:\\n file_obj.seek(0)\\n else:\\n logging.debug(\\\"{}: exhausted all retries via intermediary\\\")\\n raise_connectivity_error(file_name)\\n\\n # issue a callback\\n try:\\n resp = session.post(\\n callback_url,\\n json={\\n \\\"s3_path\\\": \\\"s3://{}/{}\\\".format(fields[\\\"s3_bucket\\\"], fields[\\\"file_id\\\"]),\\n \\\"filename\\\": file_name,\\n \\\"import_as_document\\\": fields.get(\\\"import_as_document\\\", False),\\n },\\n )\\n except requests.exceptions.ConnectionError:\\n raise_connectivity_error(file_name)\\n\\n if resp.status_code != 200:\\n raise_connectivity_error(file_name)\\n\\n try:\\n return resp.json()\\n except ValueError:\\n return {}\",\n \"def push_file_to_s3(logger, app_config, s3_object_info, start_timing):\\n import boto3\\n s3_resource = boto3.resource('s3')\\n logging.getLogger('boto3').addHandler(logger)\\n s3_object = get_config_item(app_config, 's3_info.object_base') + \\\\\\n '/' + s3_object_info['camera_name'] + '/' + \\\\\\n s3_object_info['date_string'] + '/' + \\\\\\n s3_object_info['hour_string'] + '/' + \\\\\\n s3_object_info['img_type'] + '/' + \\\\\\n s3_object_info['just_file']\\n\\n utc_ts = int(time.time() * 1000)\\n\\n object_metadata = {'camera': s3_object_info['camera_name'],\\n 'camera_timestamp': str(utc_ts)}\\n s3_resource.Object(get_config_item(app_config, 's3_info.bucket_name'),\\n s3_object).put(Body=open(s3_object_info['file_name'], 'rb'),\\n Metadata=object_metadata)\\n totaltime = time.time() - start_timing\\n logger.info(\\\"S3 Object: {} written to s3 in {} seconds.\\\".format(s3_object, totaltime))\\n return utc_ts\",\n \"def upload_fileobj(self, bucket_name, file_obj, key):\\n self._client.upload_fileobj(Fileobj=file_obj, Bucket=bucket_name, Key=key)\",\n \"def _put(conn, remote_file, contents, bucket_name=BUCKET_NAME, headers=None):\\n error_msg = 'Failed to upload to %s' % remote_file\\n try:\\n reply = conn.put(bucket_name, remote_file,\\n S3.S3Object(contents), headers)\\n if reply.http_response.status != 200:\\n print error_msg\\n except:\\n print error_msg\",\n \"def upload_file(file_name, bucket, object_name=None):\\n\\n # If S3 object_name was not specified, use file_name\\n if object_name is None:\\n object_name = file_name\\n\\n # Upload the file\\n s3_client = boto3.client('s3', aws_access_key_id='', aws_secret_access_key='')\\n try:\\n response = s3_client.upload_file(file_name, bucket, object_name, ExtraArgs={'ACL':'public-read'})\\n except ClientError as e:\\n logging.error(e)\\n return False\\n return True\",\n \"def upload_file(file_name, object_name=None, bucket = BUCKET_NAME):\\n\\n # Upload the file\\n s3_client = boto3.client('s3')\\n try:\\n response = s3_client.upload_file(file_name, bucket, object_name) if type(file_name) == str else s3_client.upload_fileobj(file_name, BUCKET_NAME, object_name)\\n except ClientError as e:\\n logging.error(e)\\n return False\\n return True\",\n \"def upload_file(file_name, bucket, object_name=None):\\n\\n # If S3 object_name was not specified, use file_name\\n if object_name is None:\\n object_name = file_name\\n\\n # Upload the file\\n try:\\n response = s3_client.upload_file(file_name, bucket, object_name)\\n except ClientError as e:\\n logging.error(e)\\n return False\\n return True\",\n \"def upload_file_by_url(s3_file_name, filename):\\n full_path = os.path.join(CONFIG_BROKER['path'], \\\"tests\\\", \\\"integration\\\", \\\"data\\\", filename)\\n\\n if CONFIG_BROKER['local']:\\n # If not using AWS, put file submission in location\\n # specified by the config file\\n broker_file_path = CONFIG_BROKER['broker_files']\\n copy(full_path, broker_file_path)\\n submitted_file = os.path.join(broker_file_path, filename)\\n return {'bytesWritten': os.path.getsize(submitted_file), 's3FileName': full_path}\\n else:\\n # Use boto to put files on S3\\n s3conn = boto.s3.connect_to_region(CONFIG_BROKER[\\\"aws_region\\\"])\\n bucket_name = CONFIG_BROKER['aws_bucket']\\n key = Key(s3conn.get_bucket(bucket_name))\\n key.key = s3_file_name\\n bytes_written = key.set_contents_from_filename(full_path)\\n return {'bytesWritten': bytes_written, 's3FileName': s3_file_name}\",\n \"def upload(self, bucket, obj, s3_client=None):\\n\\n s3_client = s3_client or self.s3_client\\n transfer_config = boto3.s3.transfer.TransferConfig(multipart_threshold=1024, use_threads=True, max_concurrency=10)\\n s3_transfer = boto3.s3.transfer.S3Transfer(client=s3_client, config=transfer_config)\\n\\n try:\\n logging.debug(\\\"Uploading {} to {}\\\".format(obj, bucket))\\n s3_transfer.upload_file(obj, bucket, helpers.strip_path(obj)[1])\\n\\n return True\\n except botocore.exceptions.EndpointConnectionError:\\n logging.error(\\\"Couldn't connect to an S3 endpoint. If you're using an S3 compatible provider other than AWS, remember to set --s3-endpoint-url\\\")\\n return False\\n except Exception as e:\\n logging.error(\\\"Error uploading: {}\\\".format(e))\\n return False\",\n \"async def put_file(object_name: str, file: File, **kwargs) -> str:\\n # TODO: Do not read file but rather stream content as it comes\\n await file.read()\\n # Get the synchronous file interface from the asynchronous file\\n file_obj = file.file\\n # Store position of cursor (number of bytes read)\\n file_size = file_obj.tell()\\n # Reset cursor at start of file\\n file_obj.seek(0)\\n # Trace file upload with its size\\n logger.debug(f\\\"Uploading file: {object_name} with {file_size} bytes\\\")\\n # Time file upload for debug\\n start = time.time()\\n # Store object on s3 storage\\n client.put_object(\\n bucket_name=DATASETS_BUCKET,\\n object_name=object_name,\\n length=file_size,\\n data=file_obj,\\n )\\n end = time.time()\\n # Log time spent\\n logger.debug(f\\\"Took {end - start} seconds to upload {file_size} bytes\\\")\",\n \"def upload_file(self, file_name, bucket, object_name=None):\\n\\n # If S3 object_name was not specified, use file_name\\n if object_name is None:\\n object_name = file_name\\n\\n # Upload the file\\n s3_client = boto3.client('s3', aws_access_key_id=self.aws_access_key_id, aws_secret_access_key=self.aws_secret_access_key)\\n try:\\n s3_client.upload_file(file_name, bucket, object_name)\\n except ClientError as e:\\n logging.exception(e)\\n return False\\n logging.info(\\\"Upload to S3 bucket complete!\\\")\\n\\n return True\",\n \"def upload_file(\\n self, bucket_id: uplink.Path, filename: uplink.Path, file: uplink.Body\\n ):\\n pass\",\n \"def put_data_in_s3(data, filename):\\n s3_client.put_object(Body=data, Bucket=CLIMATE_DATA_BUCKET, Key=filename)\",\n \"def store_keypair ( s3_infra_conn, region_name, aws_account_type, keypair_name, keypair_filename ) :\\n keypair_bucket = get_admin_bucket_name( region_name = region_name )\\n store_s3_contents( s3_conn = s3_infra_conn,\\n bucket_name = keypair_bucket,\\n key_name = get_keypair_keypath( aws_account_type ) + get_keypair_keyname( keypair_name ),\\n key_contents_filename = keypair_filename )\",\n \"def upload(env):\\n if not env:\\n click.echo(\\\"Environment must be specified\\\")\\n click.Abort()\\n\\n with open(\\\"zappa_settings.json\\\", \\\"r\\\") as f:\\n settings = json.load(f)\\n\\n if not settings:\\n click.echo(\\\"Settings not loaded\\\")\\n click.Abort()\\n return\\n\\n try:\\n s3_bucket = settings[env][\\\"s3_bucket\\\"]\\n aws_region = settings[env][\\\"aws_region\\\"]\\n except AttributeError:\\n click.echo(\\\"Failed to get details from settings\\\")\\n click.Abort()\\n return\\n\\n session = boto3.Session()\\n credentials = session.get_credentials()\\n current_credentials = credentials.get_frozen_credentials()\\n\\n app.config[\\\"FLASKS3_FORCE_MIMETYPE\\\"] = True\\n\\n try:\\n css_assets.build()\\n\\n flask_s3.create_all(\\n app,\\n user=current_credentials.access_key,\\n password=current_credentials.secret_key,\\n bucket_name=s3_bucket,\\n location=aws_region,\\n put_bucket_acl=False,\\n )\\n click.echo(\\n f\\\"Uploaded assets to Bucket https://{s3_bucket}.s3.{aws_region}.amazonaws.com\\\"\\n )\\n except Exception as e:\\n click.echo(f\\\"Failed to upload assets: {e}\\\")\",\n \"def transfer(self):\\n\\n # Upload unverified matches to s3 bucket if unverified argument used (production only)\\n if self.in_args.unverified:\\n files = glob.glob(os.path.join(self.directories['unverified_matches_dir'].format(self.region_dir, self.proc_type), '*'))\\n\\n # Loop through files found in unverified_matches folder\\n for filepath in files:\\n filename = os.path.basename(filepath)\\n # Upload each file to S3 bucket folder\\n self.upload_file(filepath, self.bucket, 'UK_suppliers/Unverified_Matches/' + filename)\\n self.unverified_file = filename\\n\\n # Zip file creation - note will only work for latest unverified file. Above loop is added just incase\\n # any residual files get added manually to S3 bucket.\\n\\n # Get filepaths of stats file, filtered and excluded matches files\\n stats_fp = self.directories['stats_file'].format(self.region_dir, self.proc_type)\\n filtered_matches_fp = self.directories['filtered_matches'].format(self.region_dir, self.proc_type) + '_' + \\\\\\n str(self.best_config) + '.csv'\\n\\n excluded_matches_fp = self.directories['excluded_matches'].format(self.region_dir, self.proc_type) + '_' + \\\\\\n str(self.best_config) + '.csv'\\n\\n blacklisted_strings_fp = self.directories['blacklisted_string_matches'].format(self.region_dir)\\n\\n stats_file_fp = self.directories['script_performance_stats_file'].format(self.region_dir, self.proc_type)\\n\\n # Assign zip file which will contain above files\\n files_zip = self.unverified_file[:10] + \\\"_files.zip\\\"\\n\\n with ZipFile(files_zip, 'w') as myzip:\\n myzip.write(stats_fp, os.path.basename(stats_fp))\\n myzip.write(filtered_matches_fp,os.path.basename(filtered_matches_fp))\\n myzip.write(excluded_matches_fp, os.path.basename(excluded_matches_fp))\\n myzip.write(blacklisted_strings_fp, os.path.basename(blacklisted_strings_fp))\\n myzip.write(stats_file_fp, os.path.basename(stats_file_fp))\\n\\n self.upload_file(files_zip, self.bucket, 'UK_suppliers/Archive/' + files_zip)\\n\\n # Download verified matches from s3 bucket if verified argument (production only)\\n if self.in_args.verified:\\n self.process_verified_files()\\n\\n # Add confirmed matches/non-matches to training file\\n if self.in_args.convert_training:\\n self.runfile_mods.convert_training.ConvertToTraining.convert(self)\",\n \"def upload(self, name, file_name):\\n # Get the cluster's data key from KMS\\n temp_data_key = self._get_data_key(name)\\n\\n if temp_data_key:\\n # AES-256 encrypt the file\\n self.encrypt_file(file_name, temp_data_key)\\n\\n # Upload the file to s3\\n self.upload_to_s3(name, \\\"/dev/shm/\\\" + os.path.basename(file_name) + \\\".enc\\\")\\n\\n # Remove the file from /dev/shm securely\\n self.secure_delete(\\\"/dev/shm/\\\" + os.path.basename(file_name) + \\\".enc\\\", 10)\\n\\n # Return the sha256sum of the original file for use in Chef's s3_file resource\\n file = open(file_name, \\\"r\\\")\\n file_data = file.read()\\n file_sha256_checksum = sha256(file_data)\\n file.close()\\n\\n print \\\"[+] sha256sum for {0} is {1}\\\".format(file_name, file_sha256_checksum.hexdigest())\\n\\n return\",\n \"def upload_chain(s3_path, local_path, bucket_name='lwr-inverse-us-east'):\\n s3 = boto3.resource(\\\"s3\\\")\\n lwr_AIES = s3.Bucket(bucket_name)\\n file_content = open(local_path, 'rb')\\n lwr_AIES.put_object(Key=s3_path, Body=file_content)\",\n \"def test_put_file_variant(self):\\n self.prepare_uploads()\\n backend = BackendS3(**self.config)\\n uploads = self.upload_path\\n src = os.path.join(uploads, 'demo-test.tar.gz')\\n id = utils.generate_id('demo-test.tar.gz')\\n backend.put_variant(src, id, 'variant.tar.gz')\\n path = '/'.join(backend.id_to_path(id)) + '/variant.tar.gz'\\n self.assertTrue(backend.exists(path))\",\n \"def upload_fileobj(Fileobj=None, Bucket=None, Key=None, ExtraArgs=None, Callback=None, Config=None):\\n pass\",\n \"def s3zip_func(s3zip_path, _func=None, cred_fpath=None, api_path=None, num_files=-1, verbose=False, include=None, **kwargs):\\n\\n def operate(subfile, _func, verbose, **kwargs):\\n if verbose:\\n print(\\\"current time is {}\\\".format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')))\\n print(\\\"{} opened.\\\".format(subfile))\\n if _func is None:\\n return subfile\\n else:\\n return _func(fpath=zipf.open(subfile), fname=subfile, **kwargs)\\n\\n s3bucket, s3zip = s3zip_path.split(\\\"s3://\\\")[-1].split('/', 1)\\n myAccessKey, mySecretKey, myToken = get_creds(cred_fpath=cred_fpath, api_path=api_path)\\n\\n session = boto3.session.Session(\\n aws_access_key_id=myAccessKey,\\n aws_secret_access_key=mySecretKey,\\n aws_session_token=myToken\\n )\\n\\n s3 = session.resource(\\\"s3\\\")\\n bucket = s3.Bucket(s3bucket)\\n obj = bucket.Object(s3zip)\\n\\n with io.BytesIO(obj.get()[\\\"Body\\\"].read()) as tf:\\n\\n # rewind the file\\n tf.seek(0)\\n\\n # Read the file as a zipfile and process the members\\n with zipfile.ZipFile(tf, mode='r') as zipf:\\n zipfiles = zipf.namelist()\\n if include is None:\\n include = zipfiles\\n if num_files == -1:\\n num_files = len(zipfiles)\\n results = [operate(subfile, _func, verbose, **kwargs)\\n for subfile in zipfiles[:num_files] if subfile in include]\\n return results\",\n \"def lambda_handler(*_):\\n Log.info(\\\"Checking bucket %s\\\", S3_BUCKET)\\n Log.info(\\\"Output Key: %s\\\", S3_OUTPUT_KEY)\\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\\n filtered = s3index.filter_objects(objects)\\n by_date = s3index.order_objects(filtered)\\n template = s3index.template_from_string(TEMPLATE)\\n index = s3index.build_index(\\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\\n s3_client = boto3.client(\\\"s3\\\")\\n s3_client.put_object(\\n ACL=\\\"public-read\\\",\\n Body=index.encode(),\\n Bucket=S3_BUCKET,\\n Key=S3_OUTPUT_KEY,\\n ContentType=\\\"text/html\\\"\\n )\",\n \"def save_to_s3(filename, contents):\\n s3 = boto3.resource('s3')\\n obj = s3.Object(BUCKET_NAME, S3_PATH.format(filename))\\n obj.put(Body=contents)\",\n \"def upload_app_version(app_name, bundled_zip):\\n bucket = elasticbeanstalk.get_storage_location()\\n key = app_name + '/' + os.path.basename(bundled_zip)\\n try:\\n ebs3.get_object_info(bucket, key)\\n logger.info('S3 Object already exists. Skipping upload.')\\n except NotFoundError:\\n logger.info('Uploading archive to s3 location: ' + key)\\n ebs3.upload_application_version(bucket, key, bundled_zip)\\n return bucket, key\",\n \"def upload_to_s3(self, file: str, force_upload: bool = False) -> str:\\n if self.aws_access_key_id is None:\\n raise Exception(\\n 'To use `upload_to_s3` you need to pass '\\n '`aws_access_key_id` and '\\n '`aws_secret_access_key`'\\n )\\n\\n filename = file.split('/')[-1]\\n\\n s3 = boto3.client(\\n 's3',\\n aws_access_key_id=self.aws_access_key_id,\\n aws_secret_access_key=self.aws_secret_access_key\\n )\\n # Check if exists\\n if not force_upload:\\n try:\\n session = boto3.Session(\\n aws_access_key_id=self.aws_access_key_id,\\n aws_secret_access_key=self.aws_secret_access_key\\n )\\n\\n session.resource('s3').Object(self.bucket_name, filename).load()\\n except botocore.exceptions.ClientError as e:\\n if e.response['Error']['Code'] != \\\"404\\\":\\n raise e\\n else:\\n # The object does exist\\n return filename\\n\\n # Progress bar\\n size = os.stat(file).st_size\\n progress_bar = self._progress(size)\\n\\n # Uploading file\\n s3.upload_file(file, self.bucket_name, filename, Callback=progress_bar)\\n\\n return filename\",\n \"def upload_file(file_name: str, bucket: str, object_name: str =None) -> None:\\n\\n # If S3 object_name was not specified, use file_name\\n if object_name is None:\\n object_name = file_name\\n\\n # Upload the file\\n s3_client = boto3.client(\\\"s3\\\")\\n try:\\n s3_client.upload_file(file_name, bucket, object_name)\\n except ClientError as e:\\n logging.error(e)\",\n \"def upload_to_storage_client(self, **kwargs):\\n if 'source_path' in kwargs:\\n source_path = kwargs.get('source_path')\\n else:\\n raise ValueError(\\\"Must provide the \\\\'source_path\\\\' parameter for local storage client to find the file!\\\")\\n\\n if 'destination_path' in kwargs:\\n destination_path = kwargs.get('destination_path')\\n else:\\n raise ValueError(\\n \\\"Must provide the \\\\'destination_path\\\\' parameter for local storage client to find the destination!\\\")\\n\\n compression = kwargs.get('compression')\\n intended_stored_file_name = kwargs.get('intended_stored_file_name', None)\\n\\n if not os.path.isdir(source_path) and compression:\\n raise ValueError(\\\"Only directories can be zipped. Single files cannot be zipped.\\\")\\n\\n self.__check_dir(destination_path)\\n\\n upload_parameters = {'source_path': source_path, 'compression': compression,\\n 'destination_path': destination_path}\\n\\n if compression:\\n # TODO\\n # if no name is supplied, name of the zipfile will be the destination; currently funky at move() due to source =/= location\\n if not intended_stored_file_name:\\n file_name = os.path.split(source_path)[-1]\\n intended_stored_file_name = 'archive_' + file_name + \\\"_\\\" + datetime.now().strftime(\\\"%A_%d_%B_%Y_%I_%M%p\\\")\\n upload_parameters['intended_stored_file_name'] = intended_stored_file_name\\n\\n # compression can only happen on DIRECTORIES, and not on single files\\n # compress2 takes a name from the kwargs, and source from parameter of save_local\\n compress(intended_stored_file_name, source_path)\\n\\n # TODO: Perhaps zipfile dumping location can be found by getting a parent/ child from source\\n\\n # To find where compress2 dumps zipfile, currently: working directory path\\n location = self.__prj_root_dir + \\\"\\\\\\\\\\\" + intended_stored_file_name + \\\".zip\\\"\\n shutil.move(location, destination_path)\\n\\n upload_parameters['intended_stored_file_name'] = intended_stored_file_name\\n upload_parameters['upload_date_time'] = datetime.now().strftime(\\\"%Y-%m-%d %H:%M:%S\\\")\\n self.generate_json_upload_parameters(**upload_parameters)\\n else:\\n upload_parameters['intended_stored_file_name'] = intended_stored_file_name\\n upload_parameters['upload_date_time'] = datetime.now().strftime(\\\"%Y-%m-%d %H:%M:%S\\\")\\n shutil.move(source_path, destination_path)\\n self.generate_json_upload_parameters(**upload_parameters)\",\n \"def download_zip_file(s3_client, bucket, key):\\n\\n temp_file = tempfile.NamedTemporaryFile()\\n with tempfile.NamedTemporaryFile() as temp_file:\\n s3_client.download_file(bucket, key, temp_file.name)\\n with zipfile.ZipFile(temp_file.name, \\\"r\\\") as zip_file:\\n yield zip_file\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.67361575","0.666261","0.6614976","0.6435008","0.6353437","0.63407624","0.6288499","0.62856996","0.6277724","0.62474364","0.61759305","0.6169826","0.61494434","0.61441237","0.61334544","0.6133251","0.6112534","0.6106917","0.60964257","0.6085946","0.60788846","0.6020912","0.5976661","0.5962306","0.59604084","0.5953089","0.5942687","0.5938391","0.5937833","0.59355396","0.5930658","0.59277904","0.59249216","0.5910525","0.58875495","0.5869368","0.58582175","0.585621","0.58470726","0.58397377","0.58396053","0.58188826","0.5816444","0.5810764","0.5800252","0.5800101","0.57953644","0.5783216","0.5780866","0.5776998","0.57751787","0.5771972","0.57367176","0.57156944","0.570243","0.57003045","0.5700116","0.56780213","0.567486","0.56712604","0.56524247","0.565133","0.5650281","0.5645101","0.5640579","0.5639018","0.56238985","0.5614724","0.5613954","0.56071097","0.5589629","0.5576424","0.5551711","0.5551153","0.5508651","0.55049056","0.5498177","0.54887","0.54824686","0.5478141","0.5474154","0.5464253","0.5463237","0.5446544","0.5443691","0.54395485","0.5430893","0.5429418","0.5425421","0.54248774","0.5420972","0.54174364","0.5415141","0.54131335","0.5406568","0.5405025","0.5404717","0.53892326","0.5386742","0.538435"],"string":"[\n \"0.67361575\",\n \"0.666261\",\n \"0.6614976\",\n \"0.6435008\",\n \"0.6353437\",\n \"0.63407624\",\n \"0.6288499\",\n \"0.62856996\",\n \"0.6277724\",\n \"0.62474364\",\n \"0.61759305\",\n \"0.6169826\",\n \"0.61494434\",\n \"0.61441237\",\n \"0.61334544\",\n \"0.6133251\",\n \"0.6112534\",\n \"0.6106917\",\n \"0.60964257\",\n \"0.6085946\",\n \"0.60788846\",\n \"0.6020912\",\n \"0.5976661\",\n \"0.5962306\",\n \"0.59604084\",\n \"0.5953089\",\n \"0.5942687\",\n \"0.5938391\",\n \"0.5937833\",\n \"0.59355396\",\n \"0.5930658\",\n \"0.59277904\",\n \"0.59249216\",\n \"0.5910525\",\n \"0.58875495\",\n \"0.5869368\",\n \"0.58582175\",\n \"0.585621\",\n \"0.58470726\",\n \"0.58397377\",\n \"0.58396053\",\n \"0.58188826\",\n \"0.5816444\",\n \"0.5810764\",\n \"0.5800252\",\n \"0.5800101\",\n \"0.57953644\",\n \"0.5783216\",\n \"0.5780866\",\n \"0.5776998\",\n \"0.57751787\",\n \"0.5771972\",\n \"0.57367176\",\n \"0.57156944\",\n \"0.570243\",\n \"0.57003045\",\n \"0.5700116\",\n \"0.56780213\",\n \"0.567486\",\n \"0.56712604\",\n \"0.56524247\",\n \"0.565133\",\n \"0.5650281\",\n \"0.5645101\",\n \"0.5640579\",\n \"0.5639018\",\n \"0.56238985\",\n \"0.5614724\",\n \"0.5613954\",\n \"0.56071097\",\n \"0.5589629\",\n \"0.5576424\",\n \"0.5551711\",\n \"0.5551153\",\n \"0.5508651\",\n \"0.55049056\",\n \"0.5498177\",\n \"0.54887\",\n \"0.54824686\",\n \"0.5478141\",\n \"0.5474154\",\n \"0.5464253\",\n \"0.5463237\",\n \"0.5446544\",\n \"0.5443691\",\n \"0.54395485\",\n \"0.5430893\",\n \"0.5429418\",\n \"0.5425421\",\n \"0.54248774\",\n \"0.5420972\",\n \"0.54174364\",\n \"0.5415141\",\n \"0.54131335\",\n \"0.5406568\",\n \"0.5405025\",\n \"0.5404717\",\n \"0.53892326\",\n \"0.5386742\",\n \"0.538435\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6406313"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":91290,"cells":{"query":{"kind":"string","value":"Validate file search patterns from user configuration. Acceptable input is a string (which will be converted to a singleton list), a list of strings, or anything falsy (such as None or an empty dictionary). Empty or unset input will be converted to a default."},"document":{"kind":"string","value":"def _check_pattern_list(\n patterns: Optional[Union[List[str], str]],\n key: str,\n default: Optional[List[str]] = None,\n) -> Optional[List[str]]:\n if not patterns:\n return default\n\n if isinstance(patterns, str):\n return [patterns]\n\n if isinstance(patterns, list) and all(isinstance(p, str) for p in patterns): # type: ignore\n return patterns\n\n raise ValueError(\n f\"Invalid file patterns in key '{key}': must be a string or \" \"list of strings\"\n )"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _resolve_arguments(patterns, packages_path, search_packages_path):\n\n def _read_patterns(path):\n try:\n with open(path, \"r\") as handler:\n return set(handler.read().splitlines())\n except IOError:\n return set()\n\n ignore_patterns = set()\n\n for item in patterns:\n if os.path.isfile(item) or os.path.isabs(item):\n # This happens in 2 scenarios\n # 1. The user-given pattern is actually a path on-disk\n # 2. The user does bash process substitution (e.g.\n # `rez-batch-process report --ignore-patterns <(cat patterns.txt)`)\n #\n ignore_patterns.update(_read_patterns(item))\n else:\n ignore_patterns.add(item)\n\n if isinstance(packages_path, six.string_types):\n packages_path = packages_path.split(os.pathsep)\n\n if isinstance(search_packages_path, six.string_types):\n search_packages_path = search_packages_path.split(os.pathsep)\n\n return ignore_patterns, packages_path, search_packages_path","def error_file_list_command_args_validation(source_types: List[str], categories: List[str], statuses: List[str],\n file_types: List[str], search_options: List[str], severities: List[str]) -> None:\n validate_array_arg(categories, 'Categories', CATEGORIES_OPTIONS)\n validate_array_arg(file_types, 'File types', FILE_TYPES_OPTIONS)\n validate_array_arg(search_options, 'Search options', SEARCH_OPTIONS_OPTIONS)\n validate_array_arg(severities, 'Severities', SEVERITIES_OPTIONS)\n validate_array_arg(source_types, 'Source types', SOURCE_TYPES_OPTIONS)\n validate_array_arg(statuses, 'Statuses', STATUSES_OPTIONS)","def check_file_valid_input(config, modname, fname, fdict, indent=''):\n\n cnts = [0] * NUMCNTS\n\n # check that any given filename pattern has a definition\n if pfwdefs.SW_FILEPAT in fdict:\n cnts2 = check_filepat_valid(config, fdict[pfwdefs.SW_FILEPAT], modname, fname, indent+' ')\n cnts = [x + y for x, y in zip(cnts, cnts2)] # increment counts\n\n # check that it has filepat, filename, depends, or query wcl (required)\n # if filename is a pattern, can I check that all needed values exist?\n # todo check depends happens in same block previous to this module\n if (('listonly' not in fdict or not miscutils.convertBool(fdict['listonly'])) and\n pfwdefs.SW_FILEPAT not in fdict and pfwdefs.FILENAME not in fdict and\n 'fullname' not in fdict and 'query_fields' not in fdict and pfwdefs.DATA_DEPENDS not in fdict):\n error(indent, \"module %s, %s, %s - Missing terms needed to determine input filename\" % (modname, pfwdefs.SW_INPUTS, fname))\n cnts[ERRCNT_POS] += 1\n\n # check that it has pfwdefs.DIRPAT : err\n # can I check that all values for pfwdefs.DIRPAT exist?\n if pfwdefs.DIRPAT not in fdict:\n error(indent, \"module %s, %s, %s - Missing %s\" % (modname, pfwdefs.SW_INPUTS, fname, pfwdefs.DIRPAT))\n cnts[ERRCNT_POS] += 1\n\n return cnts","def _filter_patterns(self, filepath, pattern_prefix, exclude_pattern, include_pattern):\n isfilter = False\n if exclude_pattern:\n full_exclude_pattern = os.path.join(pattern_prefix, exclude_pattern)\n if fnmatch.fnmatch(filepath, full_exclude_pattern):\n isfilter = True\n if include_pattern:\n full_include_pattern = os.path.join(pattern_prefix, include_pattern)\n if fnmatch.fnmatch(filepath, full_include_pattern):\n isfilter = False\n return isfilter","def validate_data(self):\n for pattern in self.patterns:\n if pattern == \"\":\n self.patterns.remove(\"\")\n\n if not self.patterns:\n print(\"WARNING! Missing pattern or empty string!\")\n sys.exit()","def __validatePaths(self):\n\t\tfor item in self.ui.listWidget.findItems(\"*\", Qt.MatchWildcard):\n\t\t\tpath_name = item.data(Qt.DisplayRole).toString()\n\t\t\tif not os.path.exists(path_name):\n\t\t\t\tcolor = Qt.red\n\t\t\telse:\n\t\t\t\tcolor = Qt.black\n\t\t\tif path_name in default_paths():\n\t\t\t\tcolor = Qt.gray\n\t\t\titem.setData(Qt.ForegroundRole, QColor(color))\n\t\tself.__saveSettings()","def allow_patterns(*patterns):\n\n def _ignore_patterns(path, names):\n\n files_only = [\n name for name in names if not os.path.isdir(os.path.join(path, name))\n ]\n\n allowed_files = []\n for pattern in patterns:\n allowed_files.extend(fnmatch.filter(files_only, pattern))\n\n ignore_others = set(files_only) - set(allowed_files)\n return ignore_others\n\n return _ignore_patterns","def validate_urlpattern_with_options(cls):\n p = re.compile('\\{\\w+\\}')\n for urlpattern in cls.urlpatterns:\n matches = p.findall(urlpattern)\n not_found = copy.copy(matches)\n for match in matches:\n if not cls.urlpattern_options.get(match.strip('{}')):\n raise ImproperlyConfigured('Keyword not found for placeholder in urlpattern. Got \\'{}\\'.'.format(match.strip('{}')))\n not_found.remove(match)\n if not_found:\n raise ImproperlyConfigured('Unexpected placeholder(s) in urlpattern. No matching key in urlpattern_options. Got placeholders {}.'.format(not_found))\n return True","def validate_config(config):\n # check if paths are valid\n check_paths = {\n 'data_path': r'data$',\n 'master_list_path': r'master_list\\.csv$',\n 'duplicate_list_path': r'duplicate_list\\.csv$',\n 'log_path': r'data[\\\\\\/]jobfunnel.log$',\n 'filter_list_path': r'data[\\\\\\/]filter_list\\.json$',\n }\n\n for path, pattern in check_paths.items():\n if not re.search(pattern, config[path]):\n raise ConfigError(path)\n # check if the provider list only consists of supported providers\n if not set(config['providers']).issubset(PROVIDERS):\n raise ConfigError('providers')\n\n # check validity of region settings\n validate_region(config['search_terms']['region'])\n\n # check validity of delay settings\n validate_delay(config['delay_config'])\n\n # check the validity of max_listing_days settings\n if(config['max_listing_days'] is not None and config['max_listing_days'] < 0):\n raise ConfigError('max_listing_days')","def check_filepat_valid(config, filepat, modname, objname, indent=''):\n\n cnts = [0] * NUMCNTS\n\n if pfwdefs.SW_FILEPATSECT not in config:\n error(indent, \"Missing filename pattern definition section (%s)\" % (pfwdefs.SW_FILEPATSECT))\n cnts[ERRCNT_POS] += 1\n elif filepat not in config[pfwdefs.SW_FILEPATSECT]:\n error(indent, \"module %s, %s - Missing definition for %s '%s'\" % (modname, objname, pfwdefs.SW_FILEPAT, filepat))\n cnts[ERRCNT_POS] += 1\n\n # todo: if pattern, check that all needed values exist\n\n return cnts","def _populate_params(self):\n self.params = []\n for root, dirs, files in os.walk(os.curdir):\n for file in files:\n fullfile = str(os.path.join(root, file))\n if self.config.regex_find_params.match(fullfile):\n self.params.append(fullfile)","def _config_regex(self):","def validate_string_findall(pattern, file):\r\n try:\r\n file_open = open(file, 'r')\r\n except:\r\n logging.info(\"file not found\")\r\n return -1\r\n file_data = file_open.read()\r\n ret_out = re.findall(pattern, file_data)\r\n if ret_out:\r\n return True, ret_out\r\n else:\r\n return False, ret_out","def valid_list(string):\n path = os.path.abspath(string)\n try:\n with open(path, \"r\") as f:\n _ = f.read(1)\n except FileNotFoundError:\n raise argparse.ArgumentTypeError(f\"{path} does not exist!\")\n except (OSError, UnicodeError):\n raise argparse.ArgumentTypeError(f\"{path} is not a valid text file!\")\n\n return path","def fileScan(self, *args, **kwargs):\n\n result = False\n\n if len(kwargs.get('value')) == 1 and isinstance(kwargs.get('value'), list):\n if os.path.isdir(kwargs.get('value')[0]):\n # ToDo os.walk for Marc\n kwargs['value'] = glob(os.path.join(kwargs.get('value')[0], '*'))\n if kwargs.get('file_scan_recursive'):\n all_files = list()\n for path, dirs, files in os.walk(kwargs['value']):\n for file in files:\n all_files.append(os.path.join(path, file))\n kwargs['value'] = all_files\n\n url = self.base.format('files')\n\n if not kwargs.get('scan'):\n for index, c_file in enumerate(kwargs.get('value')):\n if os.path.isfile(c_file):\n if (os.path.getsize(c_file) / 1048576) <= 128:\n kwargs.get('value')[index] = hashlib.md5(open(c_file, 'rb').read()).hexdigest()\n else:\n print('[!] Ignored file: {file}, size is to big, permitted size is 128Mb'.format(file=c_file))\n\n kwargs['not_exit'] = True\n hash_list = kwargs.get('value')\n for submit_file in hash_list:\n kwargs.update({'value':submit_file})\n # Check all list of files, not only one\n result = self.getReport(**kwargs)\n if not result and kwargs.get('scan') is True:\n if os.path.isfile(submit_file):\n file_name = os.path.split(submit_file)[-1]\n files = {\"file\": (file_name, open(submit_file, 'rb'))}\n try:\n jdata, response = get_response(\n url,\n files=files,\n #params=self.params,\n method=\"post\"\n )\n\n if kwargs.get('return_raw'):\n return jdata\n\n print(\"[+] Scan ID: {}\".format(jdata[\"data\"][\"id\"]))\n\n except UnicodeDecodeError:\n print('\\n[!] Sorry filename is not utf-8 format, other format not supported at the moment')\n print('[!] Ignored file: {file}\\n'.format(file=submit_file))\n\n elif not result and kwargs.get('scan') == False:\n print('\\nReport for file/hash : {0} not found'.format(submit_file))","def matching(pattern: str, kind: Optional[str] = None,\n dirpath: Optional[Union[str, Path]] = None, **options\n) -> List[Tuple[Path, Path]]:\n\n if dirpath or kind == 'askdirectory':\n\n # dialog for dir if none given\n dirpath = standard(kind, **options) if not dirpath else Path(dirpath)\n # separate file paths in dirpat by suffix\n filepaths = dirpath.glob('*.*')\n sorted_paths = defaultdict(list)\n for path in filepaths:\n sorted_paths[path.suffix].append(path)\n paths, others = list(sorted_paths.values())\n\n elif kind == 'askopenfilenames':\n\n # open two dialogs to user select files to match\n paths = standard(kind, title='Select File Set 1', **options)\n others = standard(kind, title='Select File Set 2', **options)\n\n else:\n\n msg = (\"matching dialog requires 'kind' argument to be one of '{}' \"\n \"or '{}' or a Path passed to the dirpath argument.\")\n raise TypeError(msg.format('askdirectory', 'askopenfilenames'))\n\n return re_match(paths, others, pattern)","def patterns(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:\n return pulumi.get(self, \"patterns\")","def validate_search_inputs(self):\r\n\r\n debug(\"validate\")\r\n fail = False\r\n msg = \"\"\r\n if self.m_regex_search_checkbox.GetValue():\r\n if self.m_searchfor_textbox.GetValue() == \"\" or self.validate_search_regex():\r\n msg = _(\"Please enter a valid search regex!\")\r\n fail = True\r\n elif self.m_searchfor_textbox.GetValue() == \"\":\r\n msg = _(\"Please enter a valid search!\")\r\n fail = True\r\n if not fail and self.m_fileregex_checkbox.GetValue():\r\n if self.m_filematch_textbox.GetValue().strip() == \"\" or self.validate_regex(self.m_filematch_textbox.Value):\r\n msg = \"Please enter a valid file regex!\"\r\n fail = True\r\n elif self.m_filematch_textbox.GetValue().strip() == \"\":\r\n msg = _(\"Please enter a valid file pattern!\")\r\n fail = True\r\n if not fail and self.m_dirregex_checkbox.GetValue():\r\n if self.validate_regex(self.m_exclude_textbox.Value):\r\n msg = _(\"Please enter a valid exlcude directory regex!\")\r\n fail = True\r\n if not fail and not exists(self.m_searchin_text.GetValue()):\r\n msg = _(\"Please enter a valid search path!\")\r\n fail = True\r\n if (\r\n not fail and\r\n self.m_logic_choice.GetStringSelection() != \"any\" and\r\n re.match(r\"[1-9]+[\\d]*\", self.m_size_text.GetValue()) is None\r\n ):\r\n msg = _(\"Please enter a valid size!\")\r\n fail = True\r\n if not fail:\r\n try:\r\n self.m_modified_date_picker.GetValue().Format(\"%m/%d/%Y\")\r\n except:\r\n msg = _(\"Please enter a modified date!\")\r\n fail = True\r\n if not fail:\r\n try:\r\n self.m_created_date_picker.GetValue().Format(\"%m/%d/%Y\")\r\n except:\r\n msg = _(\"Please enter a created date!\")\r\n fail = True\r\n if fail:\r\n errormsg(msg)\r\n return fail","def default_filter(files):\n\n if '1.mkv' in files and '2.mkv' in files and 'Labels.json' in files:\n return True\n\n return False","def match_patterns(pathname, patterns):\n for pattern in patterns:\n if fnmatch(pathname, pattern):\n return True\n return False","def validate_input(arg):\n if not type(arg) == list:\n raise ValidArgException('Input \"%s\" must be a list. Got %s' %(arg, type(arg)))\n \n if len(arg) != len(set(arg)):\n raise ValidArgException('\\n\\nDuplicate files found in input list %s\\n' %(arg))\n \n bnames= [os.path.split(x)[1] for x in arg]\n bnames= [re.sub('\\.gz$', '', x) for x in bnames]\n if len(bnames) == 2 and len(set(bnames)) == 1:\n raise ValidArgException('\\n\\nPaired fastq files must have different, unzipped names even if they are in different directories.\\nGot %s\\n' %(arg))\n \n for x in arg:\n if not os.path.isfile(x):\n raise ValidArgException('\\n\\nFile \"%s\" not found\\n' %(x))\n \n if len(arg) == 2:\n return('raw')\n elif len(arg) == 1:\n ext= os.path.splitext(arg[0])[1]\n if ext in ['.sam', '.bam']:\n return(ext.strip('.'))\n else:\n return('raw')\n else:\n raise ValidArgException('\\n\\n1 or 2 item must be in input \"%s\". Got %s\\n' %(arg, len(arg)))","def test_invalid_prompt_files(self):\n invalid_files = [\n \"p01.txt\",\n \"abc.txt\",\n \"p000001s000001.mp3\",\n \"p000001s000001n001.txt\",\n \"u000001.txt\"\n ]\n filtered_files = list(filter(format.is_prompt_file, invalid_files))\n\n assert len(filtered_files) == 0","def parse_optional_file_list_from_args(args_list: Any, append_error_func: Callable[[str], None]) -> List[str]:\n results = [] # type: List[str]\n if args_list is None:\n # No arguments\n pass\n elif isinstance(args_list, List):\n for c in args_list:\n if not os.path.exists(c):\n append_error_func(\"Given path %s does not exist!\" % c)\n results = list(args_list)\n else:\n append_error_func(\"Argument was not a list?\")\n return results","def search(regex, paths, args, ignore_case=False, verbose=False):\n printer = MultiLinePrinter()\n for path in paths:\n if os.path.isdir(path):\n for dirname, subdirs, files in os.walk(path):\n for filename in files:\n if not KNOWN_TYPES or any([filename.endswith(suffix) for\n suffix in KNOWN_TYPES]):\n search_file(os.path.join(dirname, filename), regex,\n ignore_case, args.undefined, printer)\n else:\n search_file(path, regex, ignore_case, args.undefined, printer)","def _validate_pattern_fields(self):\n # TO ADD:\n ## check pattern is dict ??\n ## A1 ! check if all vars used in sprintf are declared\n ## check for quoted '%s' in sprintf text (not allowed).\n ## check that only all subs are %s and that the number of %s matches the length of the var list.\n ## re.search(r\"\\%(.)\", , ) => from this get list to check all %s and length to check against var list.\n ## Given these checks - makes more sense to hardwire sprintf subfield names than use config approach.\n \n for field, field_content in self.pattern.items():\n if field not in self.pkey_dict:\n warnings.warn(\"Pattern has unknown field: %s !\" % field)\n \n # The following is quote ugly and hard to follow. Should probably be refactored\n oneOf = False\n oneOf_list = []\n for field, field_spec in self.pkey_dict.items():\n if field_spec['compulsory']:\n if field not in self.pattern:\n warnings.warn(\"Pattern is missing compulsory field: %s !\" % field)\n elif field_spec['OneOf']:\n oneOf_list.append(field)\n if field in self.pattern:\n oneOf = True \n if field_spec['sprintf']:\n if field in self.pattern:\n for subfield in self.pattern[field]:\n if subfield not in self.sprintf_keys:\n warnings.warn(\"The field %s has an unknown subfield %s.\" % (field, subfield))\n for subfield in self.sprintf_keys:\n if subfield not in self.pattern[field]:\n warnings.warn(\"The field %s lacks the compulsory subfield %s.\" % (field, subfield))\n # Check that number of vars matches number %s in text field\n if not len(re.findall('%s', self.pattern[field]['text'])) == len(self.pattern[field]['vars']):\n warnings.warn(\"Wrong number of vars in field '%s' of %s\" % (field, self.pattern['pattern_name']))\n for v in self.pattern[field]['vars']:\n if v not in self.pattern['vars']:\n warnings.warn(\"%s not in varlist %s\" % (v, str(self.pattern['vars'])))\n# Move spec checks down: \n# if field_spec['msExpression']:\n# self._validate_quoted(field['text'])\n# self._validate_ms\n \n if not oneOf:\n warnings.warn(\"Pattern must have at least one of: \" + str(oneOf_list))\n\n # Poss to add: validate number of vars for sprintf subs","def validate_command_line_args(self) -> None:\n if not path.isdir(self.args.input):\n self.error_msg(\"The provided input path does not exist or isn't a directory\")\n\n if not path.isdir(self.args.output):\n self.error_msg(\"The provided output path does not exist or isn't a directory\")\n\n replace = self.args.fieldorder.replace(\",\", \" \").replace(\"'\", \"\").split()\n\n if type(replace) != list:\n self.error_msg(\"Fields order is not a comma separated list\")\n self.args.fieldorder = replace","def test_patterns(ruler: SpaczzRuler, patterns: List[Dict[str, Any]]) -> None:\n assert all([pattern in ruler.patterns for pattern in patterns])","def get_available_patterns() -> list:\n path_folder = os.path.join(config.ROOT_PATH, config.FOLDER_PATTERNS)\n return [f.replace(\".cells\", \"\") for f in os.listdir(path_folder) if os.path.isfile(os.path.join(path_folder, f)) and f.endswith(\".cells\")]","def validate_file(inp, name=''):\n validate_string(inp, name)\n assert (os.path.exists(inp)), name + ' settings with value ' + inp + ' should exist.'","def validate_resolved_files(self, files: Sequence[str]) -> None:\n super().validate_resolved_files(files)\n if not files:\n raise InvalidFieldException(\n softwrap(\n f\"\"\"\n The `{self.alias}` field in target `{self.address}` must\n resolve to at least one file.\n \"\"\"\n )\n )\n\n files_outside_dirs = [f for f in files if len(PurePath(f).parts) == 1]\n if files_outside_dirs:\n raise InvalidFieldException(\n softwrap(\n f\"\"\"\n The `{self.alias}` field in target `{self.address}` must be paths to\n files in a single sources directory. Individual files\n were found: {files_outside_dirs}\n \"\"\"\n )\n )\n\n directory_prefixes = {PurePath(f).parts[0] for f in files}\n if len(directory_prefixes) > 1:\n raise InvalidFieldException(\n softwrap(\n f\"\"\"\n The `{self.alias}` field in target `{self.address}` must be paths to\n files in a single sources directory. Multiple directories\n were found: {directory_prefixes}\n \"\"\"\n )\n )","def checkInput(inpl):\n nonexistent=[]\n for inpf in inpl:\n if not os.path.exists(inpf): nonexistent.append(inpf)\n if nonexistent:\n return 'Input files:\\n'+'\\n '.join(nonexistent)+'\\ndo not exist'\n return ''","def _search_files(self, path, path_glob):\n files = glob.glob(\"%s/%s\"% (path, path_glob))\n files_filt = []\n print \"Searching for matching files in %s/:\" % path\n for f in files:\n if re.search(self._info['pattern'], os.path.basename(f)) is not None:\n files_filt.append(f)\n if len(files_filt) == 0:\n print \"None found.\"\n return files_filt","def filename_has_blacklisted_patterns(file_name):\n generic_re = re.compile('|'.join(blacklisted_file_patterns()))\n if generic_re.search(file_name):\n return True\n else:\n return False","def check_filename_pattern_list(self, filename_pattern_list):\n Util.print_standout(\"check file exists or not. %s\" % filename_pattern_list)\n for filename_pattern in filename_pattern_list:\n matched_file_name = self._find_by_name_pattern(self.data_dir, filename_pattern)\n if not filename_pattern or not matched_file_name:\n Util.print_error(\"check filename pattern [%s] is can not match.\" % filename_pattern)\n return False\n return True","def __init__(self, paths=('',), global_paths=()):\n config = RawConfigParser()\n\n def _search(paths, filename):\n for path in paths:\n path = os.path.join(path, filename)\n if os.path.exists(path):\n self.paths.append(path)\n try:\n config.read(path)\n except ConfigParser.ParsingError as e:\n raise ValidationError('%s: %s' % (path, e))\n\n self.paths = []\n _search(global_paths, self.GLOBAL_FILENAME)\n _search(paths, self.FILENAME)\n\n self.config = config\n\n self._validate()","def validate_args(args):\n if args.mix is not None:\n for folder in args.mix:\n if folder not in valid_folders:\n print('The --mix argument only accepts a list of the following folders: {}'.format(', '.join(valid_folders)))\n exit()\n if len(set(args.mix)) != len(args.mix):\n print('Each folder listed for --mix can only appear once.')\n exit()\n # If all or none of them are given, treat it like it's None\n if len(args.mix) == len(valid_folders) or len(args.mix) == 0:\n args.mix = None\n\n # Explicit seed generation (allows for seed sharing even when no seed is specified)\n if args.seed == None:\n args.seed = random.randrange(sys.maxsize)","def get_configfiles():\r\n configArray=''\r\n try:\r\n #print(len(configArray))\r\n while len(configArray) == 0:\r\n configFiles = input(\"List of Configuration and Files sepearated by commas (vhosts.conf,sslhosts.conf) \\n\") # takes the whole line of n numbers\r\n configArray = list(map(str,configFiles.split(',')))\r\n ### DEBUGGING\r\n # print(\"config array 0\" + configArray[0])\r\n # print(\"config array 1\" + configArray[1])\r\n #print(\"config array 0\" + configArray[0])\r\n ### /DEBUGGING ###\r\n if configArray[0] == '':\r\n print(\"please enter configuration files \")\r\n del configArray[:]\r\n #print(len(configArray))\r\n #print(configArray[0])\r\n return configArray[0], configArray[1]\r\n except:\r\n print(\"something went wrong with getting the config files\")","def scan_resource_conf(self, conf: Dict[str, List[Any]]) -> CheckResult:\n raise NotImplementedError()","def negative_filtering(patterns: list, file_list):\n if len(patterns) == 0:\n return file_list\n prog = re.compile(patterns.pop())\n it = (i for i in file_list if not prog.search(i))\n return negative_filtering(patterns, it)","def validate(self, config):\n if not isinstance(config, list):\n config = [config]\n\n for conf in config:\n if not conf.get('path'):\n raise ConfigError('Camera needs a `path` to save files to.')\n \n return config","def glob_patterns(separator=os.path.sep, **kwargs):\n terms = [kwargs.pop(field, '*')\n for field in NormalizedSceneId.tuple_type._fields]\n assert not kwargs, 'Unrecognized field names: {}'.format(kwargs)\n\n # terms which are not str are assumed to contain choices (list of str)\n choice_inds = [i for i, val in enumerate(terms) if not isinstance(val, str)]\n val_lists = [terms[i][:] for i in choice_inds]\n\n patterns = []\n for values in it.product(*val_lists):\n for i, ind in enumerate(choice_inds):\n terms[ind] = values[i]\n patterns.append(separator.join(terms))\n return patterns","def glob_any(path: Path, patterns: Collection[str]) -> bool:\n return any(path.glob(pattern) for pattern in patterns)","def scan_source(filename, def_re = None, cb = (lambda l,m : None) ) :\n import re\n\n if not def_re :\n storage_class = br\"(static\\s+)?\"\n type_and_name = br\"int\\s+(?P<n>test_[_a-zA-Z0-9]*)\";\n args=br\"\\(.*\\)\";\n def_re = re.compile(b\"\\s*\" + storage_class +\n type_and_name + b\"\\s*\" +\n args );\n\n tests = set()\n with open(filename, \"rb\") as f:\n for line in f:\n m = def_re.match(line)\n if not m : continue\n cb(line, m)\n tests.add( m.group('n').strip().decode('utf-8') )\n return tests","def split_and_glob(s: str = None) -> list:\n ret = []\n if s is not None:\n for glob in s.split(','):\n if glob != '':\n ret.append(partial(fnmatch, glob))\n return ret","def create_src_file_exts_regex(input_exts: list[str] = []) -> Pattern[str]:\n import re\n\n DEFAULT = r\"\\.[fF](77|90|95|03|05|08|18|[oO][rR]|[pP]{2})?\"\n EXPRESSIONS = [DEFAULT]\n try:\n EXPRESSIONS.extend(input_exts)\n # Add its expression as an OR and force they match the end of the string\n return re.compile(rf\"(({'$)|('.join(EXPRESSIONS)}$))\")\n except re.error:\n # TODO: Add a warning to the logger\n return re.compile(rf\"({DEFAULT}$)\")","def validatesettings(self, eventlist=None):\n if (eventlist == None):\n eventlist = EventList()\n #\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_pkgdirimps_sitempacks, False, \"no directory will be scanned for site-specific extensions.\")\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_controllerroot, False, \"no site-default specified for controller root.\")\n # required stuff\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_siteurl_relative, True, \"site has no relative url specified; assumed to start at root (/).\")\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_siteurl_absolute, True, \"site has no absolute url address.\")\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_sitefilepath, True, \"site has no filepath specified for it's home directory.\")\n\n # return events encountered\n return eventlist","def check_paths(self, paths):\n # Construct the cookiecutter search pattern\n pattern = r'{{(\\s?cookiecutter)[.](.*?)}}'\n re_obj = re.compile(pattern)\n\n # Assert that no match is found in any of the files\n for path in paths:\n for line in open(path, 'r'):\n match = re_obj.search(line)\n self.assertIsNone(\n match,\n \"cookiecutter variable not replaced in {}\".format(path))","def blacklisted_file_patterns():\n with open(\"patterns.txt\", 'r') as f:\n lines = [line.strip() for line in f if line.strip()]\n return set(lines)","def _validate(self, path, obj):\r\n if isinstance(obj, str):\r\n if path[-1] != \"pattern\":\r\n self._validate_string(path, obj)\r\n elif isinstance(obj, dict):\r\n for key, value in obj.items():\r\n new_path = path.copy()\r\n new_path.append('%s' % key)\r\n self._validate_string(new_path, key, True)\r\n self._validate(new_path, value)\r\n elif isinstance(obj, list):\r\n for index, value in enumerate(obj):\r\n new_path = path.copy()\r\n new_path.append('%d' % index)\r\n self._validate(new_path, value)\r\n elif isinstance(obj, bool):\r\n pass\r\n elif isinstance(obj, int):\r\n pass\r\n elif isinstance(obj, float):\r\n pass\r\n elif isinstance(obj, type(None)):\r\n pass\r\n else:\r\n print(type(obj))\r\n pass\r\n # raise Exception()\r","def collect_path_with_string(subject_path, patterns):\n \n ist_mask_there = False\n patterns = [pattern.lower() for pattern in patterns ]\n \n found_paths = []\n all_files = []\n \n for pattern in patterns:\n for roots,dirs,files in os.walk(subject_path):\n for name in files:\n if pattern not in name.lower():\n found_paths.append(roots + '/' + name) \n all_files.append(roots + '/' + name) \n \n found_files = [] \n \n for all_file in all_files: \n if all_file not in found_paths:\n found_files.append(all_file)\n ist_mask_there = True\n \n found_union_paths = list(set(found_files))\n \n found_union_paths.sort()\n \n return found_union_paths, ist_mask_there","def _check_input_files(self, truth_files, decl_files):\n\n # Ensure we have list group of declaration and truth file names.\n if not isinstance(decl_files, list):\n decl_files = [decl_files]\n\n if not isinstance(truth_files, list):\n truth_files = [truth_files]\n\n if len(decl_files) != len(truth_files):\n raise AtlasScorerError(\n \"Must have same number of truth and declaration files.\"\n )\n\n if not decl_files:\n raise AtlasScorerError(\"Must have at least one declaration file.\")","def build_path(keys, path_patterns, strict=False):\n path_patterns = listify(path_patterns)\n keys = {key: listify(val) for key, val in keys.items() if val or val == 0}\n\n # Loop over available patterns, return first one that matches all\n for pattern in path_patterns:\n keys_matched = list(_PATTERN_FIND.findall(pattern))\n defined = [elem[1] for elem in keys_matched]\n\n # If strict, all keys must be contained in the pattern\n if strict:\n if set(keys.keys()) - set(defined):\n continue\n\n # Iterate through the provided path patterns\n new_path = pattern\n # Expand options within valid values and\n # check whether keys provided have acceptable value\n tmp_keys = keys.copy()\n for fmt, name, valid, defval in keys_matched:\n valid_expanded = valid.split('|')\n if valid_expanded and defval and defval not in valid_expanded:\n warnings.warn(\"Pattern '{0}' is inconsistent as it defines an \"\n \"invalid default value.\".format(fmt))\n if (valid_expanded and name in keys and\n set(keys[name]) - set(valid_expanded)):\n continue\n if defval and name not in tmp_keys:\n tmp_keys[name] = [defval]\n\n # At this point, valid & default values are checked &\n # set - simplify pattern\n new_path = new_path.replace(fmt, '{%s}' % name)\n\n optional_patterns = re.findall(r'(\\[.*?\\])', new_path)\n # Optional patterns with selector are cast to mandatory or removed\n for op in optional_patterns:\n for ent_name in {k for k, v in keys.items() if (v is not None) and not (v[0]!=v[0])}:\n if ('{%s}' % ent_name) in op:\n new_path = new_path.replace(op, op[1:-1])\n continue\n\n # Surviving optional patterns are removed\n new_path = new_path.replace(op, '')\n # Replace keys\n fields = {pat[1] for pat in Formatter().parse(new_path)\n if pat[1] and not pat[1].isdigit()}\n if fields - set(tmp_keys.keys()):\n continue\n\n tmp_keys = {k: v for k, v in tmp_keys.items()\n if k in fields}\n new_path = [\n new_path.format(**e)\n for e in _expand_keys(tmp_keys)\n ]\n if new_path:\n if len(new_path) == 1:\n new_path = new_path[0]\n return new_path\n\n return None","def _search_files(self,\n timestamp,\n custom_templ=None,\n str_param=None,\n custom_datetime_format=None):\n if custom_templ is not None:\n raise NotImplementedError\n else:\n fname_templ = self.fname_templ\n\n if custom_datetime_format is not None:\n dFormat = {self.dtime_placeholder: custom_datetime_format}\n\n else:\n dFormat = {self.dtime_placeholder: self.datetime_format}\n\n sub_path = ''\n if self.subpath_templ is not None:\n for s in self.subpath_templ:\n sub_path = os.path.join(sub_path, timestamp.strftime(s))\n\n fname_templ = fname_templ.format(**dFormat)\n\n if str_param is not None:\n fname_templ = fname_templ.format(**str_param)\n\n search_file = os.path.join(self.path, sub_path,\n timestamp.strftime(fname_templ))\n\n if self.exact_templ:\n raise NotImplementedError\n else:\n filename = glob.glob(search_file)\n if len(filename) > 1:\n for templ in self.fn_templ_priority:\n fname_templ = templ.format(**dFormat)\n if str_param is not None:\n fname_templ = fname_templ.format(**str_param)\n search_file = os.path.join(self.path, sub_path,\n timestamp.strftime(fname_templ))\n filename = glob.glob(search_file)\n if len(filename) == 1:\n break\n\n if not filename:\n filename = []\n\n return filename","def validate_var(path,scheme,var,val):\n if 'type' not in scheme:\n raise InvalidConfigTemplate(var+'.type: missing')\n typ=scheme.type\n if not isinstance(typ,str):\n raise InvalidConfigTemplate(var+'.type: must be a string')\n allowed=scheme.get('allowed',[])\n if not isinstance(allowed,list) and not isinstance(allowed,list_eval):\n raise InvalidConfigTemplate(var+'.allowed: must be a list')\n validate_type(path,var,typ,val,allowed)","def __init__(self) -> None:\n\n #: The list of existing paths that matched the capture pattern.\n self.paths: List[str] = []\n\n #: The list of wildcard values captured from the matched paths.\n self.wildcards: List[Dict[str, Any]] = []","def __call__(self, value): # noqa: D102\n if not any((os.path.isdir(value), os.path.isfile(value))):\n raise argparse.ArgumentTypeError(\n f\"Input value must be file or folder. '{value}' is not.\"\n )\n return value","def check_input_options(args):\n\n # Make sure the input file is trimmed for use later on in the program.\n args.input_file = args.input_file.strip()\n\n # Make sure the output_type string(s) is(are) trimmed and lowercase.\n args.output_type = [x.strip().lower() for x in args.output_type]\n\n # The DPI value must be greater than zero...\n if args.dpi_val <= 0.:\n raise ValueError(\"DPI value must be > 0.\")","def check_input_options(args):\n\n # Make sure the input file is trimmed for use later on in the program.\n args.input_file = args.input_file.strip()\n\n # Make sure the output_type string(s) is(are) trimmed and lowercase.\n args.output_type = [x.strip().lower() for x in args.output_type]\n\n # The DPI value must be greater than zero...\n if args.dpi_val <= 0.:\n raise ValueError(\"DPI value must be > 0.\")","def check_file_list(any_format,ignore_warnings=True, warnings=[]):\n import os\n from glob import glob\n folders = [any_format]\n if os.is_file(any_format):\n with open(any_format) as f: folders = [_f for _f in f]\n if any_format[-1]==\"*\": folders = list(glob(any_format))\n valid_folders = []\n for f in folders:\n c = context.folder_context(f)\n if not c.meta_key[\"valid\"]: warnings.append(f)\n else: valid_folders.append(c.meta_key)\n \n #list the goods and the bads by simply listing the info for the folder but then say warnings in tabs if req\n \n if ignore_warnings == False and len(warnings) > 0:\n #some folders cannot be processed. Do you want to continue(y) or quit(n)?\n pass\n \n return valid_folders","def optional(*patterns: Any) -> Any: # type: ignore\n strings: List[str] = []\n for pattern in each_string(*patterns):\n if not isinstance(pattern, AnnotatedStr):\n pattern = AnnotatedStr(pattern)\n pattern.optional = True\n strings.append(pattern)\n if len(patterns) == 1 and isinstance(patterns[0], str):\n assert len(strings) == 1\n return strings[0]\n return strings","def parseConfigFindList(stringFind,configFile):\n read = 0\n listOfItems = []\n for line in configFile:\n if line:\n if read == 1:\n if 'Stop' in line:\n configFile.seek(0)\n break # exit the function and return the list of files or list information\n listOfItems.append(line.strip('\\n'))\n if stringFind in line:\n read = 1 # if find string specified, begin reading lines\n configFile.seek(0)\n return listOfItems","def extract_pattern(self, patterns):\n\n # if we have more patterns or\n # a single one which is not a file:\n if len(patterns) > 1 or (\n len(patterns) == 1 and not os.path.isfile(patterns[0])):\n return patterns\n\n else:\n pattern = patterns[0]\n pat_list = []\n # if PATTERN is a file, extract all patterns\n if os.path.isfile(pattern):\n try:\n with open(pattern, \"r\", encoding=\"utf-8\") as p_file:\n for line in p_file:\n pat_list.append(line.strip())\n except Exception:\n print(\"The selected PATH-file cannot be opened! \"\n \"Please choose another one.\")\n sys.exit()\n\n return pat_list","def test_selectfiles_valueerror():\n base_dir = op.dirname(nipype.__file__)\n templates = {\n \"model\": \"interfaces/{package}/model.py\",\n \"preprocess\": \"interfaces/{package}/pre*.py\",\n }\n force_lists = [\"model\", \"preprocess\", \"registration\"]\n sf = nio.SelectFiles(templates, base_directory=base_dir, force_lists=force_lists)\n with pytest.raises(ValueError):\n sf.run()","def search_config(config, preffile=None, inprefs={},\n nameincludes=None, searchintents=None):\n\n # find config properties of interest\n intent = config.scan_intent\n antennas = config.get_antennas()\n antnames = [str(ant.name) for ant in antennas]\n subbands = config.get_subbands()\n inttimes = [subband.hw_time_res for subband in subbands]\n pols = [subband.pp for subband in subbands]\n nchans = [subband.spectralChannels for subband in subbands]\n chansizes = [subband.bw/subband.spectralChannels for subband in subbands]\n reffreqs = [subband.sky_center_freq*1e6 for subband in subbands]\n\n # Do not process if...\n # 1) chansize changes between subbands\n if not all([chansizes[0] == chansize for chansize in chansizes]):\n logger.warn(\"Channel size changes between subbands: {0}\"\n .format(chansizes))\n return False\n\n # 2) start and stop time is after current time\n now = time.Time.now().unix\n startTime = time.Time(config.startTime, format='mjd').unix\n stopTime = time.Time(config.stopTime, format='mjd').unix\n if (startTime < now) and (stopTime < now):\n logger.warn(\"Scan startTime and stopTime are in the past ({0}, {1} < {2})\"\n .format(startTime, stopTime, now))\n return False\n\n # 3) if nameincludes set, reject if datasetId does not have it\n if nameincludes is not None:\n if nameincludes not in config.datasetId:\n logger.warn(\"datasetId {0} does not include nameincludes {1}\"\n .format(config.datasetId, nameincludes))\n return False\n\n # 4) only search if in searchintents\n if searchintents is not None:\n if not any([searchintent in intent for searchintent in searchintents]):\n logger.warn(\"intent {0} not in searchintents list {1}\"\n .format(intent, searchintents))\n return False\n\n # 5) only two antennas\n if len(antnames) <= 2:\n logger.warn(\"Only {0} antennas in array\".format(len(antnames)))\n return False\n\n # 6) only if state validates\n prefsname = get_prefsname(config=config)\n if not heuristics.state_validates(config=config, preffile=preffile,\n prefsname=prefsname, inprefs=inprefs):\n logger.warn(\"State not valid for scanId {0}\"\n .format(config.scanId))\n return False\n # 7) only if some fast sampling is done (faster than VLASS final inttime)\n t_fast = 0.4\n if not any([inttime < t_fast for inttime in inttimes]):\n logger.warn(\"No subband has integration time faster than {0} s\"\n .format(t_fast))\n return False\n\n return True","def register_patterns(self) -> None:\n\n if (patterns := getattr(self, \"WORDS\", None)) is not None:\n for k, v in patterns.items():\n self.register_replacement(Replacement(rf\"\\b{k}\\b\", v))\n\n if (patterns := getattr(self, \"PATTERNS\", None)) is not None:\n for k, v in patterns.items():\n self.register_replacement(Replacement(k, v))\n\n if (replacements := getattr(self, \"REPLACEMENTS\", None)) is not None:\n for replacement in replacements:\n self.register_replacement(replacement)","def test_available_input_formats():\n assert set([\"Mapchete\", \"raster_file\", \"vector_file\"]).issubset(\n set(available_input_formats())\n )","def matchPatterns(path, patterns):\n name = os.path.basename(path)\n for p in patterns:\n if fnmatch.fnmatch(name, p):\n return True\n return False","def set_patterns(self, strings):\n\t\tself.patterns = []\n\n\t\tfor string in strings:\n\t\t\tif isinstance(string, bytes):\n\t\t\t\tstring = string.decode('utf-8')\n\n\t\t\tself.patterns.append(string)","def match_input_files(file: str) -> bool:\n pattern = r\"^input_20\\d\\d-(0[1-9]|1[012])-(0[1-9]|[12][0-9]|3[01])\\.feather\"\n return True if re.match(pattern, file) else False","def check_paths(paths):\n # Assert that no match is found in any of the files\n for path in paths:\n if is_binary(path):\n continue\n\n for line in open(path, \"r\"):\n match = RE_OBJ.search(line)\n msg = \"cookiecutter variable not replaced in {}\"\n assert match is None, msg.format(path)","def check_paths(paths):\n # Assert that no match is found in any of the files\n for path in paths:\n if is_binary(path):\n continue\n\n for line in open(path, \"r\"):\n match = RE_OBJ.search(line)\n msg = \"cookiecutter variable not replaced in {}\"\n assert match is None, msg.format(path)","def ignore_patterns(*patterns):\n def _ignore_patterns(path, names):\n ignored_names = []\n for pattern in patterns:\n ignored_names.extend(fnmatch.filter(names, pattern))\n return set(ignored_names)\n return _ignore_patterns","def _parsed_by_parser_paths(self, filep: str, paths: Mapping[str, List[str]]) -> bool:\n for directory in paths:\n for filename in paths[directory]:\n if fnmatch.fnmatch(filep, os.path.join(directory, filename)):\n return True\n return False","def exists(*patterns: Any) -> Any: # type: ignore\n strings: List[str] = []\n for pattern in each_string(*patterns):\n if not isinstance(pattern, AnnotatedStr):\n pattern = AnnotatedStr(pattern)\n pattern.exists = True\n strings.append(pattern)\n if len(patterns) == 1 and isinstance(patterns[0], str):\n assert len(strings) == 1\n return strings[0]\n return strings","def _validate_path(mapping: Mapping[str, Any],\n ref: str) -> Optional[SchemaError]:\n if 'pattern' in mapping:\n try:\n _ = re.compile(mapping['pattern'])\n except Exception as err: # pylint: disable=broad-except\n return SchemaError(str(err), ref='{}/pattern'.format(ref))\n\n return None","def initialize(self):\n for path in self._paths:\n for root, dirnames, filenames in os.walk(os.path.expanduser(path)):\n if self._is_in_excluded_patterns(root):\n continue\n for filename in filenames:\n for pattern in self._patterns:\n if fnmatch.fnmatch(filename.lower(), pattern):\n self._files_to_scan.append(PickerPhoto(\n os.path.join(root, filename)\n ))\n if not self._files_to_scan:\n raise PickerException(\n PickerException.EMPTY_SCAN,\n \"No photos to scan found in given directory(ies)\"\n )\n files_to_scan_len = len(self._files_to_scan)\n if self._photos_count > files_to_scan_len:\n self._photos_count = files_to_scan_len","def insensitive_glob(pattern):\n def either(c):\n return '[%s%s]' % (c.lower(), c.upper()) if c.isalpha() else c\n\n file_list = sorted(glob.glob(''.join(map(either, pattern))))\n\n return file_list","def set_arguments(self):\r\n\r\n self.args.reset()\r\n # Path\r\n self.args.target = self.m_searchin_text.GetValue()\r\n\r\n # Search Options\r\n self.args.ignore_case = not self.m_case_checkbox.GetValue()\r\n self.args.dotall = self.m_dotmatch_checkbox.GetValue()\r\n self.args.regexp = self.m_regex_search_checkbox.GetValue()\r\n self.args.recursive = self.m_subfolder_checkbox.GetValue()\r\n self.args.all_utf8 = self.m_utf8_checkbox.GetValue()\r\n self.args.pattern = self.m_searchfor_textbox.Value\r\n self.args.text = self.m_binary_checkbox.GetValue()\r\n self.args.count_only = self.m_count_only_checkbox.GetValue()\r\n self.args.boolean = self.m_boolean_checkbox.GetValue()\r\n\r\n # Limit Options\r\n if isdir(self.args.target):\r\n self.args.show_hidden = self.m_hidden_checkbox.GetValue()\r\n if self.m_fileregex_checkbox.GetValue():\r\n self.args.regexfilepattern = self.m_filematch_textbox.Value\r\n elif self.m_filematch_textbox.Value:\r\n self.args.filepattern = self.m_filematch_textbox.Value\r\n if self.m_exclude_textbox.Value != \"\":\r\n self.args.directory_exclude = self.m_exclude_textbox.Value\r\n if self.m_dirregex_checkbox.GetValue():\r\n self.args.regexdirpattern = True\r\n cmp_size = self.m_logic_choice.GetSelection()\r\n if cmp_size:\r\n size = self.m_size_text.GetValue()\r\n self.args.size_compare = (LIMIT_COMPARE[cmp_size], int(size))\r\n else:\r\n self.args.size_compare = None\r\n cmp_modified = self.m_modified_choice.GetSelection()\r\n cmp_created = self.m_created_choice.GetSelection()\r\n if cmp_modified:\r\n self.args.modified_compare = (\r\n LIMIT_COMPARE[cmp_modified],\r\n local_time_to_epoch_timestamp(\r\n self.m_modified_date_picker.GetValue().Format(\"%m/%d/%Y\"),\r\n self.m_modified_time_picker.GetValue()\r\n )\r\n )\r\n if cmp_created:\r\n self.args.created_compare = (\r\n LIMIT_COMPARE[cmp_created],\r\n local_time_to_epoch_timestamp(\r\n self.m_modified_date_picker.GetValue().Format(\"%m/%d/%Y\"),\r\n self.m_modified_time_picker.GetValue()\r\n )\r\n )\r\n else:\r\n self.args.text = True\r\n\r\n debug(self.args.target)","def check_paths(coll_path, out):\n pathpattern = os.path.join(coll_path,\"*.xml\")\n try:\n if not os.path.exists(coll_path):\n raise ValueError(\"Error: The collection could not be found.\")\n except ValueError as err:\n print(err)\n exit(1)\n try:\n if not os.path.exists(out):\n raise ValueError(\"Error: The output directory could not be found.\")\n except ValueError as err:\n print(err)\n exit(1)\n list_of_filenames = glob.glob(pathpattern)\n try:\n if not list_of_filenames:\n raise ValueError(\"Error: No XML file was found in the collection.\")\n except ValueError as err:\n print(err)\n exit(1) \n return list_of_filenames","def get_valid_files(paths: List[str]) -> List[str]:\n all_paths = []\n\n for path in paths:\n if path.endswith('.txt'):\n all_paths.append(path)\n elif path.endswith('.zip'):\n # this is only a placeholder for adding mer files\n all_paths.extend(get_txt_files_from_zip(path))\n elif path.endswith('.mer'):\n all_paths.append(path)\n else:\n raise TypeError('Can only import .txt, .zip & .mer. Invalid file: ' + path)\n return all_paths","def pickpattern():\n\n pattern = [\n ['Noun-common.list', 'Verbs-common.list', 'Adj-common.list', 'Nouns-common.list'],\n ['Noun-common.list', 'Verbs-common.list', 'Nouns-common.list', 'Adverb-common.list'],\n ['Adj-common.list', 'Nouns-common.list', 'Verb-common.list', 'Adverb-common.list'],\n ['Noun-common.list', 'Adverb-common.list', 'Verbs-common.list', 'Noun-common.list'],\n ['Noun-common.list', 'Adverb-common.list', 'Verbs-common.list', 'Nouns-common.list'],\n ['Noun-common.list', 'Verbs-common.list', 'Adverb-common.list', 'Adj-common.list']\n ]\n\n return choice(pattern)","def validate_string_search(self, pattern, file):\r\n try:\r\n file_open = open(file, 'r')\r\n except:\r\n logging.info(\"file not found\")\r\n return -1\r\n file_data = file_open.read()\r\n ret_out = re.search(pattern, file_data)\r\n if ret_out:\r\n return True, ret_out\r\n else:\r\n return False, ret_out","def match_input_files(file: str) -> bool:\n pattern = (\n r\"^input_population_20\\d\\d-(0[1-9]|1[012])-(0[1-9]|[12][0-9]|3[01])\\.feather\"\n )\n return True if re.match(pattern, file) else False","def _parse_pattern(cls, pattern, default_pattern: str = \"*\") -> Pattern:\n pattern = pattern or default_pattern\n if pattern is None:\n return None\n\n return Pattern(pattern)","def check_input_file(value):\n if not os.path.exists(value):\n raise argparse.ArgumentTypeError(f'Input file `{value}` does not exist')\n\n return value","def match_files(patterns, files):\n\tall_files = files if isinstance(files, collections.Container) else list(files)\n\treturn_files = set()\n\tfor pattern in patterns:\n\t\tif pattern.include is not None:\n\t\t\tresult_files = pattern.match(all_files)\n\t\t\tif pattern.include:\n\t\t\t\treturn_files.update(result_files)\n\t\t\telse:\n\t\t\t\treturn_files.difference_update(result_files)\n\treturn return_files","def ignore_pattern_filter(self, path):\n\n # Return False for the checksum file.\n if self.checksum_file_path.exists():\n if self.checksum_file_path.samefile(path):\n return False\n\n # Return True of no patterns where given.\n if self.ignore_patterns is None:\n return True\n\n # Loop through all patterns.\n for pattern in self.ignore_patterns:\n # Return False if the path matches an ignore pattern.\n if fnmatch.fnmatch(path.name, pattern):\n return False\n\n # If it reached this point, this means that it doesn't match any of the patterns,\n # so return True.\n return True","def main():\n filter_freq = 1.e4\n re_sample_freq = 1.e5\n glob_search = '*.log'\n\n # parse the command line arguments\n parser = argparse.ArgumentParser(description=\"Filters files in a directory based on a file extension.\")\n parser.add_argument('-d', '--directory', type=str, nargs=1,\n help=\"directory of files to filter. Default is the current directory.\")\n parser.add_argument('-ff', '--filter-freq', type=float, nargs=1,\n help=\"low-pass filter frequency cutoff. Default is {0} Hz\".format(filter_freq))\n parser.add_argument('-osr', '--out-sample-rate', type=float, nargs=1,\n help=\"output sample rate. Default is {0} Hz\".format(re_sample_freq))\n parser.add_argument('-g', '--glob', type=str, nargs=1,\n help=\"Unix pattern to search for files in the directory. Default is \\'*.log\\', which finds all\"\n \" files with a '.log' extension. Must surround with quotes.\")\n parser.add_argument('-r', '--recursive', action='store_true',\n help=\"search for files recursively.\")\n args = parser.parse_args()\n\n directory = '.'\n # Use the command line arguments to set our variables, if necessary.\n if args.directory is not None:\n directory = args.directory[0]\n\n if args.filter_freq is not None:\n filter_freq = args.filter_freq[0]\n\n if args.out_sample_rate is not None:\n re_sample_freq = args.out_sample_rate[0]\n\n if args.glob is not None:\n glob_search = args.glob[0]\n print glob_search\n\n # find all of the files in the current directory with .log extension.\n files = []\n for root, dirname, filenames in os.walk(directory):\n for filename in fnmatch.filter(filenames, glob_search):\n files.append(os.path.join(root, filename))\n # Only do top level directory, unless recursive is specified.\n if not args.recursive:\n break\n\n print \"Filter frequency: {0} Hz\".format(filter_freq)\n print \"Output sample frequency: {0} Hz\".format(re_sample_freq)\n print \"Glob search: {0}\".format(glob_search)\n print \"Recursive: {0}\".format(args.recursive)\n print \"Filtering these files:\", files\n print \"\\n----------------------------\\n\"\n\n p = Pool()\n\n # add the file names and filter frequency and output sample rate to a tuple to pass in multiprocessing\n pool_args = []\n for filename in files:\n tup = (filename, filter_freq, re_sample_freq)\n pool_args.append(tup)\n\n # filter each file\n output_file_names = p.map(_filter_wrap, pool_args)\n\n print \"\\n----------------------------\\n\"\n print \"Output files:\", output_file_names","def recognize_files(list_of_filenames):\n reg_exp = define_regex()\n pattern = re.compile(reg_exp) \n matched = []\n for filename in list_of_filenames:\n match = pattern.match(filename)\n if match != None:\n matched.append(filename)\n return matched","def test_file_paths(self, site):\n \n if site.home_page.contains_any_pattern(\n ['/etc/designs/','/libs/cq/', '/libs/wcm/', '/content/dam/']\n ):\n return 1\n else:\n return 0","def setPatterns(self, value):\n return self._set(patterns=value)","def _parse_launch_args(args, logger):\n if not args:\n return []\n\n if isinstance(args, str):\n args = [args]\n\n override_list = []\n\n # Now look for any option and conf file arguments:\n bad = False\n for arg in args:\n m = re.match(r'''(?x)\n (?P<section>[a-zA-Z][a-zA-Z0-9_]*)\n \\.(?P<option>[^=]+)\n =(?P<value>.*)$''', arg)\n # check if argument is a explicit variable override\n if m:\n section = m.group('section')\n key = m.group('option')\n value = m.group('value')\n override_list.append((section, key, value))\n continue\n\n filepath = arg\n # check if argument is a path to a file that exists\n if not os.path.exists(filepath):\n logger.error(f'Invalid argument: {filepath}')\n bad = True\n continue\n\n # expand file path to full path\n filepath = os.path.realpath(filepath)\n\n # path exists but is not a file\n if not os.path.isfile(filepath):\n logger.error(f'Conf is not a file: {filepath}')\n bad = True\n continue\n\n # warn and skip if file is empty\n if os.stat(filepath).st_size == 0:\n logger.warning(f'Conf file is empty: {filepath}. Skipping')\n continue\n\n # add file path to override list\n override_list.append(filepath)\n\n # exit if anything went wrong reading config arguments\n if bad:\n sys.exit(2)\n\n return override_list","def __check_pattern(node):\n if node.tag != \"discover_datasets\":\n return False\n if \"from_tool_provided_metadata\" in node.attrib and string_as_bool(\n node.attrib.get(\"from_tool_provided_metadata\", \"false\")\n ):\n return True\n if \"pattern\" not in node.attrib:\n return False\n pattern = node.attrib[\"pattern\"]\n regex_pattern = NAMED_PATTERNS.get(pattern, pattern)\n # TODO error on wrong pattern or non-regexp\n if \"(?P<ext>\" in regex_pattern:\n return True","def test_build_filter_patterns(self):\n mocked_config = self.MockedTreeConfig(filter_patterns=['*.compiled',\n 'data*'])\n patched_builder = self.PatchedNodeTreeBuilder(root_dir=\".\",\n config=mocked_config)\n\n root = patched_builder.build()\n\n nodes = self.NodesAccumulator()\n root.visit(nodes)\n\n # ensure what's in\n self.assertTrue('emptydir' in nodes) # empty dirs are still listed (unless ignored)\n self.assertTrue('somedir' in nodes)\n\n self.assertTrue('datafile.xml' in nodes)\n self.assertTrue('somefile.compiled' in nodes)\n self.assertTrue('ignore.me.compiled' in nodes)\n\n # also ensure that anything that doesn't match the pattern, is thrown out\n self.assertTrue('testfile' not in nodes)\n self.assertTrue('somefile1' not in nodes)\n self.assertTrue('somefile2' not in nodes)\n self.assertTrue('somefile3' not in nodes)\n self.assertTrue('.hiddendir' not in nodes)\n self.assertTrue('.hiddenfile' not in nodes)\n self.assertTrue('.hiddenfile.compiled' not in nodes)","def check_sanity(params):\n \n for dpath in ['input_dir','output_dir']:\n if path.isdir(params[dpath]) == False:\n print('ERROR: Cannot find directory '+params[dpath])\n exit()\n \n if path.isfile(params['star_file']) == False:\n print('ERROR: Cannot find star file '+params['star_file'])\n exit()","def file_matches(self, text):\n \n #print 'Completer->file_matches: <%s>' % text # dbg\n\n # chars that require escaping with backslash - i.e. chars\n # that readline treats incorrectly as delimiters, but we\n # don't want to treat as delimiters in filename matching\n # when escaped with backslash\n \n protectables = ' ()[]{}'\n\n def protect_filename(s):\n return \"\".join([(ch in protectables and '\\\\' + ch or ch)\n for ch in s])\n\n lbuf = self.get_line_buffer()[:self.readline.get_endidx()]\n open_quotes = 0 # track strings with open quotes\n try:\n lsplit = shlex_split(lbuf)[-1]\n except ValueError:\n # typically an unmatched \", or backslash without escaped char.\n if lbuf.count('\"')==1:\n open_quotes = 1\n lsplit = lbuf.split('\"')[-1]\n elif lbuf.count(\"'\")==1:\n open_quotes = 1\n lsplit = lbuf.split(\"'\")[-1]\n else:\n return None\n except IndexError:\n # tab pressed on empty line\n lsplit = \"\"\n\n if lsplit != protect_filename(lsplit):\n # if protectables are found, do matching on the whole escaped\n # name\n has_protectables = 1\n text0,text = text,lsplit\n else:\n has_protectables = 0\n text = os.path.expanduser(text)\n \n if text == \"\":\n return [protect_filename(f) for f in self.glob(\"*\")]\n\n m0 = self.clean_glob(text.replace('\\\\',''))\n if has_protectables:\n # If we had protectables, we need to revert our changes to the\n # beginning of filename so that we don't double-write the part\n # of the filename we have so far\n len_lsplit = len(lsplit)\n matches = [text0 + protect_filename(f[len_lsplit:]) for f in m0]\n else:\n if open_quotes:\n # if we have a string with an open quote, we don't need to\n # protect the names at all (and we _shouldn't_, as it\n # would cause bugs when the filesystem call is made).\n matches = m0\n else:\n matches = [protect_filename(f) for f in m0]\n if len(matches) == 1 and os.path.isdir(matches[0]):\n # Takes care of links to directories also. Use '/'\n # explicitly, even under Windows, so that name completions\n # don't end up escaped.\n matches[0] += '/'\n return matches","def analyse_files_against_regex_pattern(files, pattern):\n # boolean to check if docs are to be generated\n comments_for_jsdoc_exists = False\n # reading file content and comparing with pattern\n for filepath in files:\n if comments_for_jsdoc_exists:\n break\n with open(filepath, encoding='utf-8') as code:\n file_content = code.read()\n matches = pattern.search(file_content)\n if matches:\n comments_for_jsdoc_exists = True\n break\n\n return comments_for_jsdoc_exists","def scan(self):\n exclude_patterns_config = self.doxygen_config.get(\"EXCLUDE_PATTERNS\", [])\n exclude_patterns = [\n pattern.replace(\"*/\", \"**/\") for pattern in exclude_patterns_config\n ]\n file_patterns = self.doxygen_config.get(\"FILE_PATTERNS\", [\"*.c\", \"*.h\"])\n if self.doxygen_config.get(\"RECURSIVE\", [\"YES\"]) == [\"YES\"]:\n file_patterns = [f\"**/{pattern}\" for pattern in file_patterns]\n nodes = []\n names = []\n for node in self.doxygen_input:\n if os.path.isdir(node.abspath()):\n for i in node.ant_glob(incl=file_patterns, excl=exclude_patterns):\n nodes.append(i)\n else:\n nodes.append(node)\n return (nodes, names)","def check_search_argument(search):\n\n if search != '' and not re.match(r\"^(([\\w.:\\/\\-)+\\=([\\w.:\\/\\-])+\\s?)+\", search):\n print(\"The search items must match the format 'field=string'\")\n sys.exit(0)\n search_items = search.split(' ')\n\n return search_items","def glob(patterns: list[str]) -> Table:\n for val in _ensure_list(patterns):\n fol, _, pat = val.partition(\"/*\")\n folder = Path(fol)\n for file in folder.glob(\"*\" + pat):\n yield {\"file\": str(file)}"],"string":"[\n \"def _resolve_arguments(patterns, packages_path, search_packages_path):\\n\\n def _read_patterns(path):\\n try:\\n with open(path, \\\"r\\\") as handler:\\n return set(handler.read().splitlines())\\n except IOError:\\n return set()\\n\\n ignore_patterns = set()\\n\\n for item in patterns:\\n if os.path.isfile(item) or os.path.isabs(item):\\n # This happens in 2 scenarios\\n # 1. The user-given pattern is actually a path on-disk\\n # 2. The user does bash process substitution (e.g.\\n # `rez-batch-process report --ignore-patterns <(cat patterns.txt)`)\\n #\\n ignore_patterns.update(_read_patterns(item))\\n else:\\n ignore_patterns.add(item)\\n\\n if isinstance(packages_path, six.string_types):\\n packages_path = packages_path.split(os.pathsep)\\n\\n if isinstance(search_packages_path, six.string_types):\\n search_packages_path = search_packages_path.split(os.pathsep)\\n\\n return ignore_patterns, packages_path, search_packages_path\",\n \"def error_file_list_command_args_validation(source_types: List[str], categories: List[str], statuses: List[str],\\n file_types: List[str], search_options: List[str], severities: List[str]) -> None:\\n validate_array_arg(categories, 'Categories', CATEGORIES_OPTIONS)\\n validate_array_arg(file_types, 'File types', FILE_TYPES_OPTIONS)\\n validate_array_arg(search_options, 'Search options', SEARCH_OPTIONS_OPTIONS)\\n validate_array_arg(severities, 'Severities', SEVERITIES_OPTIONS)\\n validate_array_arg(source_types, 'Source types', SOURCE_TYPES_OPTIONS)\\n validate_array_arg(statuses, 'Statuses', STATUSES_OPTIONS)\",\n \"def check_file_valid_input(config, modname, fname, fdict, indent=''):\\n\\n cnts = [0] * NUMCNTS\\n\\n # check that any given filename pattern has a definition\\n if pfwdefs.SW_FILEPAT in fdict:\\n cnts2 = check_filepat_valid(config, fdict[pfwdefs.SW_FILEPAT], modname, fname, indent+' ')\\n cnts = [x + y for x, y in zip(cnts, cnts2)] # increment counts\\n\\n # check that it has filepat, filename, depends, or query wcl (required)\\n # if filename is a pattern, can I check that all needed values exist?\\n # todo check depends happens in same block previous to this module\\n if (('listonly' not in fdict or not miscutils.convertBool(fdict['listonly'])) and\\n pfwdefs.SW_FILEPAT not in fdict and pfwdefs.FILENAME not in fdict and\\n 'fullname' not in fdict and 'query_fields' not in fdict and pfwdefs.DATA_DEPENDS not in fdict):\\n error(indent, \\\"module %s, %s, %s - Missing terms needed to determine input filename\\\" % (modname, pfwdefs.SW_INPUTS, fname))\\n cnts[ERRCNT_POS] += 1\\n\\n # check that it has pfwdefs.DIRPAT : err\\n # can I check that all values for pfwdefs.DIRPAT exist?\\n if pfwdefs.DIRPAT not in fdict:\\n error(indent, \\\"module %s, %s, %s - Missing %s\\\" % (modname, pfwdefs.SW_INPUTS, fname, pfwdefs.DIRPAT))\\n cnts[ERRCNT_POS] += 1\\n\\n return cnts\",\n \"def _filter_patterns(self, filepath, pattern_prefix, exclude_pattern, include_pattern):\\n isfilter = False\\n if exclude_pattern:\\n full_exclude_pattern = os.path.join(pattern_prefix, exclude_pattern)\\n if fnmatch.fnmatch(filepath, full_exclude_pattern):\\n isfilter = True\\n if include_pattern:\\n full_include_pattern = os.path.join(pattern_prefix, include_pattern)\\n if fnmatch.fnmatch(filepath, full_include_pattern):\\n isfilter = False\\n return isfilter\",\n \"def validate_data(self):\\n for pattern in self.patterns:\\n if pattern == \\\"\\\":\\n self.patterns.remove(\\\"\\\")\\n\\n if not self.patterns:\\n print(\\\"WARNING! Missing pattern or empty string!\\\")\\n sys.exit()\",\n \"def __validatePaths(self):\\n\\t\\tfor item in self.ui.listWidget.findItems(\\\"*\\\", Qt.MatchWildcard):\\n\\t\\t\\tpath_name = item.data(Qt.DisplayRole).toString()\\n\\t\\t\\tif not os.path.exists(path_name):\\n\\t\\t\\t\\tcolor = Qt.red\\n\\t\\t\\telse:\\n\\t\\t\\t\\tcolor = Qt.black\\n\\t\\t\\tif path_name in default_paths():\\n\\t\\t\\t\\tcolor = Qt.gray\\n\\t\\t\\titem.setData(Qt.ForegroundRole, QColor(color))\\n\\t\\tself.__saveSettings()\",\n \"def allow_patterns(*patterns):\\n\\n def _ignore_patterns(path, names):\\n\\n files_only = [\\n name for name in names if not os.path.isdir(os.path.join(path, name))\\n ]\\n\\n allowed_files = []\\n for pattern in patterns:\\n allowed_files.extend(fnmatch.filter(files_only, pattern))\\n\\n ignore_others = set(files_only) - set(allowed_files)\\n return ignore_others\\n\\n return _ignore_patterns\",\n \"def validate_urlpattern_with_options(cls):\\n p = re.compile('\\\\{\\\\w+\\\\}')\\n for urlpattern in cls.urlpatterns:\\n matches = p.findall(urlpattern)\\n not_found = copy.copy(matches)\\n for match in matches:\\n if not cls.urlpattern_options.get(match.strip('{}')):\\n raise ImproperlyConfigured('Keyword not found for placeholder in urlpattern. Got \\\\'{}\\\\'.'.format(match.strip('{}')))\\n not_found.remove(match)\\n if not_found:\\n raise ImproperlyConfigured('Unexpected placeholder(s) in urlpattern. No matching key in urlpattern_options. Got placeholders {}.'.format(not_found))\\n return True\",\n \"def validate_config(config):\\n # check if paths are valid\\n check_paths = {\\n 'data_path': r'data$',\\n 'master_list_path': r'master_list\\\\.csv$',\\n 'duplicate_list_path': r'duplicate_list\\\\.csv$',\\n 'log_path': r'data[\\\\\\\\\\\\/]jobfunnel.log$',\\n 'filter_list_path': r'data[\\\\\\\\\\\\/]filter_list\\\\.json$',\\n }\\n\\n for path, pattern in check_paths.items():\\n if not re.search(pattern, config[path]):\\n raise ConfigError(path)\\n # check if the provider list only consists of supported providers\\n if not set(config['providers']).issubset(PROVIDERS):\\n raise ConfigError('providers')\\n\\n # check validity of region settings\\n validate_region(config['search_terms']['region'])\\n\\n # check validity of delay settings\\n validate_delay(config['delay_config'])\\n\\n # check the validity of max_listing_days settings\\n if(config['max_listing_days'] is not None and config['max_listing_days'] < 0):\\n raise ConfigError('max_listing_days')\",\n \"def check_filepat_valid(config, filepat, modname, objname, indent=''):\\n\\n cnts = [0] * NUMCNTS\\n\\n if pfwdefs.SW_FILEPATSECT not in config:\\n error(indent, \\\"Missing filename pattern definition section (%s)\\\" % (pfwdefs.SW_FILEPATSECT))\\n cnts[ERRCNT_POS] += 1\\n elif filepat not in config[pfwdefs.SW_FILEPATSECT]:\\n error(indent, \\\"module %s, %s - Missing definition for %s '%s'\\\" % (modname, objname, pfwdefs.SW_FILEPAT, filepat))\\n cnts[ERRCNT_POS] += 1\\n\\n # todo: if pattern, check that all needed values exist\\n\\n return cnts\",\n \"def _populate_params(self):\\n self.params = []\\n for root, dirs, files in os.walk(os.curdir):\\n for file in files:\\n fullfile = str(os.path.join(root, file))\\n if self.config.regex_find_params.match(fullfile):\\n self.params.append(fullfile)\",\n \"def _config_regex(self):\",\n \"def validate_string_findall(pattern, file):\\r\\n try:\\r\\n file_open = open(file, 'r')\\r\\n except:\\r\\n logging.info(\\\"file not found\\\")\\r\\n return -1\\r\\n file_data = file_open.read()\\r\\n ret_out = re.findall(pattern, file_data)\\r\\n if ret_out:\\r\\n return True, ret_out\\r\\n else:\\r\\n return False, ret_out\",\n \"def valid_list(string):\\n path = os.path.abspath(string)\\n try:\\n with open(path, \\\"r\\\") as f:\\n _ = f.read(1)\\n except FileNotFoundError:\\n raise argparse.ArgumentTypeError(f\\\"{path} does not exist!\\\")\\n except (OSError, UnicodeError):\\n raise argparse.ArgumentTypeError(f\\\"{path} is not a valid text file!\\\")\\n\\n return path\",\n \"def fileScan(self, *args, **kwargs):\\n\\n result = False\\n\\n if len(kwargs.get('value')) == 1 and isinstance(kwargs.get('value'), list):\\n if os.path.isdir(kwargs.get('value')[0]):\\n # ToDo os.walk for Marc\\n kwargs['value'] = glob(os.path.join(kwargs.get('value')[0], '*'))\\n if kwargs.get('file_scan_recursive'):\\n all_files = list()\\n for path, dirs, files in os.walk(kwargs['value']):\\n for file in files:\\n all_files.append(os.path.join(path, file))\\n kwargs['value'] = all_files\\n\\n url = self.base.format('files')\\n\\n if not kwargs.get('scan'):\\n for index, c_file in enumerate(kwargs.get('value')):\\n if os.path.isfile(c_file):\\n if (os.path.getsize(c_file) / 1048576) <= 128:\\n kwargs.get('value')[index] = hashlib.md5(open(c_file, 'rb').read()).hexdigest()\\n else:\\n print('[!] Ignored file: {file}, size is to big, permitted size is 128Mb'.format(file=c_file))\\n\\n kwargs['not_exit'] = True\\n hash_list = kwargs.get('value')\\n for submit_file in hash_list:\\n kwargs.update({'value':submit_file})\\n # Check all list of files, not only one\\n result = self.getReport(**kwargs)\\n if not result and kwargs.get('scan') is True:\\n if os.path.isfile(submit_file):\\n file_name = os.path.split(submit_file)[-1]\\n files = {\\\"file\\\": (file_name, open(submit_file, 'rb'))}\\n try:\\n jdata, response = get_response(\\n url,\\n files=files,\\n #params=self.params,\\n method=\\\"post\\\"\\n )\\n\\n if kwargs.get('return_raw'):\\n return jdata\\n\\n print(\\\"[+] Scan ID: {}\\\".format(jdata[\\\"data\\\"][\\\"id\\\"]))\\n\\n except UnicodeDecodeError:\\n print('\\\\n[!] Sorry filename is not utf-8 format, other format not supported at the moment')\\n print('[!] Ignored file: {file}\\\\n'.format(file=submit_file))\\n\\n elif not result and kwargs.get('scan') == False:\\n print('\\\\nReport for file/hash : {0} not found'.format(submit_file))\",\n \"def matching(pattern: str, kind: Optional[str] = None,\\n dirpath: Optional[Union[str, Path]] = None, **options\\n) -> List[Tuple[Path, Path]]:\\n\\n if dirpath or kind == 'askdirectory':\\n\\n # dialog for dir if none given\\n dirpath = standard(kind, **options) if not dirpath else Path(dirpath)\\n # separate file paths in dirpat by suffix\\n filepaths = dirpath.glob('*.*')\\n sorted_paths = defaultdict(list)\\n for path in filepaths:\\n sorted_paths[path.suffix].append(path)\\n paths, others = list(sorted_paths.values())\\n\\n elif kind == 'askopenfilenames':\\n\\n # open two dialogs to user select files to match\\n paths = standard(kind, title='Select File Set 1', **options)\\n others = standard(kind, title='Select File Set 2', **options)\\n\\n else:\\n\\n msg = (\\\"matching dialog requires 'kind' argument to be one of '{}' \\\"\\n \\\"or '{}' or a Path passed to the dirpath argument.\\\")\\n raise TypeError(msg.format('askdirectory', 'askopenfilenames'))\\n\\n return re_match(paths, others, pattern)\",\n \"def patterns(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:\\n return pulumi.get(self, \\\"patterns\\\")\",\n \"def validate_search_inputs(self):\\r\\n\\r\\n debug(\\\"validate\\\")\\r\\n fail = False\\r\\n msg = \\\"\\\"\\r\\n if self.m_regex_search_checkbox.GetValue():\\r\\n if self.m_searchfor_textbox.GetValue() == \\\"\\\" or self.validate_search_regex():\\r\\n msg = _(\\\"Please enter a valid search regex!\\\")\\r\\n fail = True\\r\\n elif self.m_searchfor_textbox.GetValue() == \\\"\\\":\\r\\n msg = _(\\\"Please enter a valid search!\\\")\\r\\n fail = True\\r\\n if not fail and self.m_fileregex_checkbox.GetValue():\\r\\n if self.m_filematch_textbox.GetValue().strip() == \\\"\\\" or self.validate_regex(self.m_filematch_textbox.Value):\\r\\n msg = \\\"Please enter a valid file regex!\\\"\\r\\n fail = True\\r\\n elif self.m_filematch_textbox.GetValue().strip() == \\\"\\\":\\r\\n msg = _(\\\"Please enter a valid file pattern!\\\")\\r\\n fail = True\\r\\n if not fail and self.m_dirregex_checkbox.GetValue():\\r\\n if self.validate_regex(self.m_exclude_textbox.Value):\\r\\n msg = _(\\\"Please enter a valid exlcude directory regex!\\\")\\r\\n fail = True\\r\\n if not fail and not exists(self.m_searchin_text.GetValue()):\\r\\n msg = _(\\\"Please enter a valid search path!\\\")\\r\\n fail = True\\r\\n if (\\r\\n not fail and\\r\\n self.m_logic_choice.GetStringSelection() != \\\"any\\\" and\\r\\n re.match(r\\\"[1-9]+[\\\\d]*\\\", self.m_size_text.GetValue()) is None\\r\\n ):\\r\\n msg = _(\\\"Please enter a valid size!\\\")\\r\\n fail = True\\r\\n if not fail:\\r\\n try:\\r\\n self.m_modified_date_picker.GetValue().Format(\\\"%m/%d/%Y\\\")\\r\\n except:\\r\\n msg = _(\\\"Please enter a modified date!\\\")\\r\\n fail = True\\r\\n if not fail:\\r\\n try:\\r\\n self.m_created_date_picker.GetValue().Format(\\\"%m/%d/%Y\\\")\\r\\n except:\\r\\n msg = _(\\\"Please enter a created date!\\\")\\r\\n fail = True\\r\\n if fail:\\r\\n errormsg(msg)\\r\\n return fail\",\n \"def default_filter(files):\\n\\n if '1.mkv' in files and '2.mkv' in files and 'Labels.json' in files:\\n return True\\n\\n return False\",\n \"def match_patterns(pathname, patterns):\\n for pattern in patterns:\\n if fnmatch(pathname, pattern):\\n return True\\n return False\",\n \"def validate_input(arg):\\n if not type(arg) == list:\\n raise ValidArgException('Input \\\"%s\\\" must be a list. Got %s' %(arg, type(arg)))\\n \\n if len(arg) != len(set(arg)):\\n raise ValidArgException('\\\\n\\\\nDuplicate files found in input list %s\\\\n' %(arg))\\n \\n bnames= [os.path.split(x)[1] for x in arg]\\n bnames= [re.sub('\\\\.gz$', '', x) for x in bnames]\\n if len(bnames) == 2 and len(set(bnames)) == 1:\\n raise ValidArgException('\\\\n\\\\nPaired fastq files must have different, unzipped names even if they are in different directories.\\\\nGot %s\\\\n' %(arg))\\n \\n for x in arg:\\n if not os.path.isfile(x):\\n raise ValidArgException('\\\\n\\\\nFile \\\"%s\\\" not found\\\\n' %(x))\\n \\n if len(arg) == 2:\\n return('raw')\\n elif len(arg) == 1:\\n ext= os.path.splitext(arg[0])[1]\\n if ext in ['.sam', '.bam']:\\n return(ext.strip('.'))\\n else:\\n return('raw')\\n else:\\n raise ValidArgException('\\\\n\\\\n1 or 2 item must be in input \\\"%s\\\". Got %s\\\\n' %(arg, len(arg)))\",\n \"def test_invalid_prompt_files(self):\\n invalid_files = [\\n \\\"p01.txt\\\",\\n \\\"abc.txt\\\",\\n \\\"p000001s000001.mp3\\\",\\n \\\"p000001s000001n001.txt\\\",\\n \\\"u000001.txt\\\"\\n ]\\n filtered_files = list(filter(format.is_prompt_file, invalid_files))\\n\\n assert len(filtered_files) == 0\",\n \"def parse_optional_file_list_from_args(args_list: Any, append_error_func: Callable[[str], None]) -> List[str]:\\n results = [] # type: List[str]\\n if args_list is None:\\n # No arguments\\n pass\\n elif isinstance(args_list, List):\\n for c in args_list:\\n if not os.path.exists(c):\\n append_error_func(\\\"Given path %s does not exist!\\\" % c)\\n results = list(args_list)\\n else:\\n append_error_func(\\\"Argument was not a list?\\\")\\n return results\",\n \"def search(regex, paths, args, ignore_case=False, verbose=False):\\n printer = MultiLinePrinter()\\n for path in paths:\\n if os.path.isdir(path):\\n for dirname, subdirs, files in os.walk(path):\\n for filename in files:\\n if not KNOWN_TYPES or any([filename.endswith(suffix) for\\n suffix in KNOWN_TYPES]):\\n search_file(os.path.join(dirname, filename), regex,\\n ignore_case, args.undefined, printer)\\n else:\\n search_file(path, regex, ignore_case, args.undefined, printer)\",\n \"def _validate_pattern_fields(self):\\n # TO ADD:\\n ## check pattern is dict ??\\n ## A1 ! check if all vars used in sprintf are declared\\n ## check for quoted '%s' in sprintf text (not allowed).\\n ## check that only all subs are %s and that the number of %s matches the length of the var list.\\n ## re.search(r\\\"\\\\%(.)\\\", , ) => from this get list to check all %s and length to check against var list.\\n ## Given these checks - makes more sense to hardwire sprintf subfield names than use config approach.\\n \\n for field, field_content in self.pattern.items():\\n if field not in self.pkey_dict:\\n warnings.warn(\\\"Pattern has unknown field: %s !\\\" % field)\\n \\n # The following is quote ugly and hard to follow. Should probably be refactored\\n oneOf = False\\n oneOf_list = []\\n for field, field_spec in self.pkey_dict.items():\\n if field_spec['compulsory']:\\n if field not in self.pattern:\\n warnings.warn(\\\"Pattern is missing compulsory field: %s !\\\" % field)\\n elif field_spec['OneOf']:\\n oneOf_list.append(field)\\n if field in self.pattern:\\n oneOf = True \\n if field_spec['sprintf']:\\n if field in self.pattern:\\n for subfield in self.pattern[field]:\\n if subfield not in self.sprintf_keys:\\n warnings.warn(\\\"The field %s has an unknown subfield %s.\\\" % (field, subfield))\\n for subfield in self.sprintf_keys:\\n if subfield not in self.pattern[field]:\\n warnings.warn(\\\"The field %s lacks the compulsory subfield %s.\\\" % (field, subfield))\\n # Check that number of vars matches number %s in text field\\n if not len(re.findall('%s', self.pattern[field]['text'])) == len(self.pattern[field]['vars']):\\n warnings.warn(\\\"Wrong number of vars in field '%s' of %s\\\" % (field, self.pattern['pattern_name']))\\n for v in self.pattern[field]['vars']:\\n if v not in self.pattern['vars']:\\n warnings.warn(\\\"%s not in varlist %s\\\" % (v, str(self.pattern['vars'])))\\n# Move spec checks down: \\n# if field_spec['msExpression']:\\n# self._validate_quoted(field['text'])\\n# self._validate_ms\\n \\n if not oneOf:\\n warnings.warn(\\\"Pattern must have at least one of: \\\" + str(oneOf_list))\\n\\n # Poss to add: validate number of vars for sprintf subs\",\n \"def validate_command_line_args(self) -> None:\\n if not path.isdir(self.args.input):\\n self.error_msg(\\\"The provided input path does not exist or isn't a directory\\\")\\n\\n if not path.isdir(self.args.output):\\n self.error_msg(\\\"The provided output path does not exist or isn't a directory\\\")\\n\\n replace = self.args.fieldorder.replace(\\\",\\\", \\\" \\\").replace(\\\"'\\\", \\\"\\\").split()\\n\\n if type(replace) != list:\\n self.error_msg(\\\"Fields order is not a comma separated list\\\")\\n self.args.fieldorder = replace\",\n \"def test_patterns(ruler: SpaczzRuler, patterns: List[Dict[str, Any]]) -> None:\\n assert all([pattern in ruler.patterns for pattern in patterns])\",\n \"def get_available_patterns() -> list:\\n path_folder = os.path.join(config.ROOT_PATH, config.FOLDER_PATTERNS)\\n return [f.replace(\\\".cells\\\", \\\"\\\") for f in os.listdir(path_folder) if os.path.isfile(os.path.join(path_folder, f)) and f.endswith(\\\".cells\\\")]\",\n \"def validate_file(inp, name=''):\\n validate_string(inp, name)\\n assert (os.path.exists(inp)), name + ' settings with value ' + inp + ' should exist.'\",\n \"def validate_resolved_files(self, files: Sequence[str]) -> None:\\n super().validate_resolved_files(files)\\n if not files:\\n raise InvalidFieldException(\\n softwrap(\\n f\\\"\\\"\\\"\\n The `{self.alias}` field in target `{self.address}` must\\n resolve to at least one file.\\n \\\"\\\"\\\"\\n )\\n )\\n\\n files_outside_dirs = [f for f in files if len(PurePath(f).parts) == 1]\\n if files_outside_dirs:\\n raise InvalidFieldException(\\n softwrap(\\n f\\\"\\\"\\\"\\n The `{self.alias}` field in target `{self.address}` must be paths to\\n files in a single sources directory. Individual files\\n were found: {files_outside_dirs}\\n \\\"\\\"\\\"\\n )\\n )\\n\\n directory_prefixes = {PurePath(f).parts[0] for f in files}\\n if len(directory_prefixes) > 1:\\n raise InvalidFieldException(\\n softwrap(\\n f\\\"\\\"\\\"\\n The `{self.alias}` field in target `{self.address}` must be paths to\\n files in a single sources directory. Multiple directories\\n were found: {directory_prefixes}\\n \\\"\\\"\\\"\\n )\\n )\",\n \"def checkInput(inpl):\\n nonexistent=[]\\n for inpf in inpl:\\n if not os.path.exists(inpf): nonexistent.append(inpf)\\n if nonexistent:\\n return 'Input files:\\\\n'+'\\\\n '.join(nonexistent)+'\\\\ndo not exist'\\n return ''\",\n \"def _search_files(self, path, path_glob):\\n files = glob.glob(\\\"%s/%s\\\"% (path, path_glob))\\n files_filt = []\\n print \\\"Searching for matching files in %s/:\\\" % path\\n for f in files:\\n if re.search(self._info['pattern'], os.path.basename(f)) is not None:\\n files_filt.append(f)\\n if len(files_filt) == 0:\\n print \\\"None found.\\\"\\n return files_filt\",\n \"def filename_has_blacklisted_patterns(file_name):\\n generic_re = re.compile('|'.join(blacklisted_file_patterns()))\\n if generic_re.search(file_name):\\n return True\\n else:\\n return False\",\n \"def check_filename_pattern_list(self, filename_pattern_list):\\n Util.print_standout(\\\"check file exists or not. %s\\\" % filename_pattern_list)\\n for filename_pattern in filename_pattern_list:\\n matched_file_name = self._find_by_name_pattern(self.data_dir, filename_pattern)\\n if not filename_pattern or not matched_file_name:\\n Util.print_error(\\\"check filename pattern [%s] is can not match.\\\" % filename_pattern)\\n return False\\n return True\",\n \"def __init__(self, paths=('',), global_paths=()):\\n config = RawConfigParser()\\n\\n def _search(paths, filename):\\n for path in paths:\\n path = os.path.join(path, filename)\\n if os.path.exists(path):\\n self.paths.append(path)\\n try:\\n config.read(path)\\n except ConfigParser.ParsingError as e:\\n raise ValidationError('%s: %s' % (path, e))\\n\\n self.paths = []\\n _search(global_paths, self.GLOBAL_FILENAME)\\n _search(paths, self.FILENAME)\\n\\n self.config = config\\n\\n self._validate()\",\n \"def validate_args(args):\\n if args.mix is not None:\\n for folder in args.mix:\\n if folder not in valid_folders:\\n print('The --mix argument only accepts a list of the following folders: {}'.format(', '.join(valid_folders)))\\n exit()\\n if len(set(args.mix)) != len(args.mix):\\n print('Each folder listed for --mix can only appear once.')\\n exit()\\n # If all or none of them are given, treat it like it's None\\n if len(args.mix) == len(valid_folders) or len(args.mix) == 0:\\n args.mix = None\\n\\n # Explicit seed generation (allows for seed sharing even when no seed is specified)\\n if args.seed == None:\\n args.seed = random.randrange(sys.maxsize)\",\n \"def get_configfiles():\\r\\n configArray=''\\r\\n try:\\r\\n #print(len(configArray))\\r\\n while len(configArray) == 0:\\r\\n configFiles = input(\\\"List of Configuration and Files sepearated by commas (vhosts.conf,sslhosts.conf) \\\\n\\\") # takes the whole line of n numbers\\r\\n configArray = list(map(str,configFiles.split(',')))\\r\\n ### DEBUGGING\\r\\n # print(\\\"config array 0\\\" + configArray[0])\\r\\n # print(\\\"config array 1\\\" + configArray[1])\\r\\n #print(\\\"config array 0\\\" + configArray[0])\\r\\n ### /DEBUGGING ###\\r\\n if configArray[0] == '':\\r\\n print(\\\"please enter configuration files \\\")\\r\\n del configArray[:]\\r\\n #print(len(configArray))\\r\\n #print(configArray[0])\\r\\n return configArray[0], configArray[1]\\r\\n except:\\r\\n print(\\\"something went wrong with getting the config files\\\")\",\n \"def scan_resource_conf(self, conf: Dict[str, List[Any]]) -> CheckResult:\\n raise NotImplementedError()\",\n \"def negative_filtering(patterns: list, file_list):\\n if len(patterns) == 0:\\n return file_list\\n prog = re.compile(patterns.pop())\\n it = (i for i in file_list if not prog.search(i))\\n return negative_filtering(patterns, it)\",\n \"def validate(self, config):\\n if not isinstance(config, list):\\n config = [config]\\n\\n for conf in config:\\n if not conf.get('path'):\\n raise ConfigError('Camera needs a `path` to save files to.')\\n \\n return config\",\n \"def glob_patterns(separator=os.path.sep, **kwargs):\\n terms = [kwargs.pop(field, '*')\\n for field in NormalizedSceneId.tuple_type._fields]\\n assert not kwargs, 'Unrecognized field names: {}'.format(kwargs)\\n\\n # terms which are not str are assumed to contain choices (list of str)\\n choice_inds = [i for i, val in enumerate(terms) if not isinstance(val, str)]\\n val_lists = [terms[i][:] for i in choice_inds]\\n\\n patterns = []\\n for values in it.product(*val_lists):\\n for i, ind in enumerate(choice_inds):\\n terms[ind] = values[i]\\n patterns.append(separator.join(terms))\\n return patterns\",\n \"def glob_any(path: Path, patterns: Collection[str]) -> bool:\\n return any(path.glob(pattern) for pattern in patterns)\",\n \"def scan_source(filename, def_re = None, cb = (lambda l,m : None) ) :\\n import re\\n\\n if not def_re :\\n storage_class = br\\\"(static\\\\s+)?\\\"\\n type_and_name = br\\\"int\\\\s+(?P<n>test_[_a-zA-Z0-9]*)\\\";\\n args=br\\\"\\\\(.*\\\\)\\\";\\n def_re = re.compile(b\\\"\\\\s*\\\" + storage_class +\\n type_and_name + b\\\"\\\\s*\\\" +\\n args );\\n\\n tests = set()\\n with open(filename, \\\"rb\\\") as f:\\n for line in f:\\n m = def_re.match(line)\\n if not m : continue\\n cb(line, m)\\n tests.add( m.group('n').strip().decode('utf-8') )\\n return tests\",\n \"def split_and_glob(s: str = None) -> list:\\n ret = []\\n if s is not None:\\n for glob in s.split(','):\\n if glob != '':\\n ret.append(partial(fnmatch, glob))\\n return ret\",\n \"def create_src_file_exts_regex(input_exts: list[str] = []) -> Pattern[str]:\\n import re\\n\\n DEFAULT = r\\\"\\\\.[fF](77|90|95|03|05|08|18|[oO][rR]|[pP]{2})?\\\"\\n EXPRESSIONS = [DEFAULT]\\n try:\\n EXPRESSIONS.extend(input_exts)\\n # Add its expression as an OR and force they match the end of the string\\n return re.compile(rf\\\"(({'$)|('.join(EXPRESSIONS)}$))\\\")\\n except re.error:\\n # TODO: Add a warning to the logger\\n return re.compile(rf\\\"({DEFAULT}$)\\\")\",\n \"def validatesettings(self, eventlist=None):\\n if (eventlist == None):\\n eventlist = EventList()\\n #\\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_pkgdirimps_sitempacks, False, \\\"no directory will be scanned for site-specific extensions.\\\")\\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_controllerroot, False, \\\"no site-default specified for controller root.\\\")\\n # required stuff\\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_siteurl_relative, True, \\\"site has no relative url specified; assumed to start at root (/).\\\")\\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_siteurl_absolute, True, \\\"site has no absolute url address.\\\")\\n self.validate_setting_config(eventlist, mconst.DEF_SETTINGNAME_sitefilepath, True, \\\"site has no filepath specified for it's home directory.\\\")\\n\\n # return events encountered\\n return eventlist\",\n \"def check_paths(self, paths):\\n # Construct the cookiecutter search pattern\\n pattern = r'{{(\\\\s?cookiecutter)[.](.*?)}}'\\n re_obj = re.compile(pattern)\\n\\n # Assert that no match is found in any of the files\\n for path in paths:\\n for line in open(path, 'r'):\\n match = re_obj.search(line)\\n self.assertIsNone(\\n match,\\n \\\"cookiecutter variable not replaced in {}\\\".format(path))\",\n \"def blacklisted_file_patterns():\\n with open(\\\"patterns.txt\\\", 'r') as f:\\n lines = [line.strip() for line in f if line.strip()]\\n return set(lines)\",\n \"def _validate(self, path, obj):\\r\\n if isinstance(obj, str):\\r\\n if path[-1] != \\\"pattern\\\":\\r\\n self._validate_string(path, obj)\\r\\n elif isinstance(obj, dict):\\r\\n for key, value in obj.items():\\r\\n new_path = path.copy()\\r\\n new_path.append('%s' % key)\\r\\n self._validate_string(new_path, key, True)\\r\\n self._validate(new_path, value)\\r\\n elif isinstance(obj, list):\\r\\n for index, value in enumerate(obj):\\r\\n new_path = path.copy()\\r\\n new_path.append('%d' % index)\\r\\n self._validate(new_path, value)\\r\\n elif isinstance(obj, bool):\\r\\n pass\\r\\n elif isinstance(obj, int):\\r\\n pass\\r\\n elif isinstance(obj, float):\\r\\n pass\\r\\n elif isinstance(obj, type(None)):\\r\\n pass\\r\\n else:\\r\\n print(type(obj))\\r\\n pass\\r\\n # raise Exception()\\r\",\n \"def collect_path_with_string(subject_path, patterns):\\n \\n ist_mask_there = False\\n patterns = [pattern.lower() for pattern in patterns ]\\n \\n found_paths = []\\n all_files = []\\n \\n for pattern in patterns:\\n for roots,dirs,files in os.walk(subject_path):\\n for name in files:\\n if pattern not in name.lower():\\n found_paths.append(roots + '/' + name) \\n all_files.append(roots + '/' + name) \\n \\n found_files = [] \\n \\n for all_file in all_files: \\n if all_file not in found_paths:\\n found_files.append(all_file)\\n ist_mask_there = True\\n \\n found_union_paths = list(set(found_files))\\n \\n found_union_paths.sort()\\n \\n return found_union_paths, ist_mask_there\",\n \"def _check_input_files(self, truth_files, decl_files):\\n\\n # Ensure we have list group of declaration and truth file names.\\n if not isinstance(decl_files, list):\\n decl_files = [decl_files]\\n\\n if not isinstance(truth_files, list):\\n truth_files = [truth_files]\\n\\n if len(decl_files) != len(truth_files):\\n raise AtlasScorerError(\\n \\\"Must have same number of truth and declaration files.\\\"\\n )\\n\\n if not decl_files:\\n raise AtlasScorerError(\\\"Must have at least one declaration file.\\\")\",\n \"def build_path(keys, path_patterns, strict=False):\\n path_patterns = listify(path_patterns)\\n keys = {key: listify(val) for key, val in keys.items() if val or val == 0}\\n\\n # Loop over available patterns, return first one that matches all\\n for pattern in path_patterns:\\n keys_matched = list(_PATTERN_FIND.findall(pattern))\\n defined = [elem[1] for elem in keys_matched]\\n\\n # If strict, all keys must be contained in the pattern\\n if strict:\\n if set(keys.keys()) - set(defined):\\n continue\\n\\n # Iterate through the provided path patterns\\n new_path = pattern\\n # Expand options within valid values and\\n # check whether keys provided have acceptable value\\n tmp_keys = keys.copy()\\n for fmt, name, valid, defval in keys_matched:\\n valid_expanded = valid.split('|')\\n if valid_expanded and defval and defval not in valid_expanded:\\n warnings.warn(\\\"Pattern '{0}' is inconsistent as it defines an \\\"\\n \\\"invalid default value.\\\".format(fmt))\\n if (valid_expanded and name in keys and\\n set(keys[name]) - set(valid_expanded)):\\n continue\\n if defval and name not in tmp_keys:\\n tmp_keys[name] = [defval]\\n\\n # At this point, valid & default values are checked &\\n # set - simplify pattern\\n new_path = new_path.replace(fmt, '{%s}' % name)\\n\\n optional_patterns = re.findall(r'(\\\\[.*?\\\\])', new_path)\\n # Optional patterns with selector are cast to mandatory or removed\\n for op in optional_patterns:\\n for ent_name in {k for k, v in keys.items() if (v is not None) and not (v[0]!=v[0])}:\\n if ('{%s}' % ent_name) in op:\\n new_path = new_path.replace(op, op[1:-1])\\n continue\\n\\n # Surviving optional patterns are removed\\n new_path = new_path.replace(op, '')\\n # Replace keys\\n fields = {pat[1] for pat in Formatter().parse(new_path)\\n if pat[1] and not pat[1].isdigit()}\\n if fields - set(tmp_keys.keys()):\\n continue\\n\\n tmp_keys = {k: v for k, v in tmp_keys.items()\\n if k in fields}\\n new_path = [\\n new_path.format(**e)\\n for e in _expand_keys(tmp_keys)\\n ]\\n if new_path:\\n if len(new_path) == 1:\\n new_path = new_path[0]\\n return new_path\\n\\n return None\",\n \"def _search_files(self,\\n timestamp,\\n custom_templ=None,\\n str_param=None,\\n custom_datetime_format=None):\\n if custom_templ is not None:\\n raise NotImplementedError\\n else:\\n fname_templ = self.fname_templ\\n\\n if custom_datetime_format is not None:\\n dFormat = {self.dtime_placeholder: custom_datetime_format}\\n\\n else:\\n dFormat = {self.dtime_placeholder: self.datetime_format}\\n\\n sub_path = ''\\n if self.subpath_templ is not None:\\n for s in self.subpath_templ:\\n sub_path = os.path.join(sub_path, timestamp.strftime(s))\\n\\n fname_templ = fname_templ.format(**dFormat)\\n\\n if str_param is not None:\\n fname_templ = fname_templ.format(**str_param)\\n\\n search_file = os.path.join(self.path, sub_path,\\n timestamp.strftime(fname_templ))\\n\\n if self.exact_templ:\\n raise NotImplementedError\\n else:\\n filename = glob.glob(search_file)\\n if len(filename) > 1:\\n for templ in self.fn_templ_priority:\\n fname_templ = templ.format(**dFormat)\\n if str_param is not None:\\n fname_templ = fname_templ.format(**str_param)\\n search_file = os.path.join(self.path, sub_path,\\n timestamp.strftime(fname_templ))\\n filename = glob.glob(search_file)\\n if len(filename) == 1:\\n break\\n\\n if not filename:\\n filename = []\\n\\n return filename\",\n \"def validate_var(path,scheme,var,val):\\n if 'type' not in scheme:\\n raise InvalidConfigTemplate(var+'.type: missing')\\n typ=scheme.type\\n if not isinstance(typ,str):\\n raise InvalidConfigTemplate(var+'.type: must be a string')\\n allowed=scheme.get('allowed',[])\\n if not isinstance(allowed,list) and not isinstance(allowed,list_eval):\\n raise InvalidConfigTemplate(var+'.allowed: must be a list')\\n validate_type(path,var,typ,val,allowed)\",\n \"def __init__(self) -> None:\\n\\n #: The list of existing paths that matched the capture pattern.\\n self.paths: List[str] = []\\n\\n #: The list of wildcard values captured from the matched paths.\\n self.wildcards: List[Dict[str, Any]] = []\",\n \"def __call__(self, value): # noqa: D102\\n if not any((os.path.isdir(value), os.path.isfile(value))):\\n raise argparse.ArgumentTypeError(\\n f\\\"Input value must be file or folder. '{value}' is not.\\\"\\n )\\n return value\",\n \"def check_input_options(args):\\n\\n # Make sure the input file is trimmed for use later on in the program.\\n args.input_file = args.input_file.strip()\\n\\n # Make sure the output_type string(s) is(are) trimmed and lowercase.\\n args.output_type = [x.strip().lower() for x in args.output_type]\\n\\n # The DPI value must be greater than zero...\\n if args.dpi_val <= 0.:\\n raise ValueError(\\\"DPI value must be > 0.\\\")\",\n \"def check_input_options(args):\\n\\n # Make sure the input file is trimmed for use later on in the program.\\n args.input_file = args.input_file.strip()\\n\\n # Make sure the output_type string(s) is(are) trimmed and lowercase.\\n args.output_type = [x.strip().lower() for x in args.output_type]\\n\\n # The DPI value must be greater than zero...\\n if args.dpi_val <= 0.:\\n raise ValueError(\\\"DPI value must be > 0.\\\")\",\n \"def check_file_list(any_format,ignore_warnings=True, warnings=[]):\\n import os\\n from glob import glob\\n folders = [any_format]\\n if os.is_file(any_format):\\n with open(any_format) as f: folders = [_f for _f in f]\\n if any_format[-1]==\\\"*\\\": folders = list(glob(any_format))\\n valid_folders = []\\n for f in folders:\\n c = context.folder_context(f)\\n if not c.meta_key[\\\"valid\\\"]: warnings.append(f)\\n else: valid_folders.append(c.meta_key)\\n \\n #list the goods and the bads by simply listing the info for the folder but then say warnings in tabs if req\\n \\n if ignore_warnings == False and len(warnings) > 0:\\n #some folders cannot be processed. Do you want to continue(y) or quit(n)?\\n pass\\n \\n return valid_folders\",\n \"def optional(*patterns: Any) -> Any: # type: ignore\\n strings: List[str] = []\\n for pattern in each_string(*patterns):\\n if not isinstance(pattern, AnnotatedStr):\\n pattern = AnnotatedStr(pattern)\\n pattern.optional = True\\n strings.append(pattern)\\n if len(patterns) == 1 and isinstance(patterns[0], str):\\n assert len(strings) == 1\\n return strings[0]\\n return strings\",\n \"def parseConfigFindList(stringFind,configFile):\\n read = 0\\n listOfItems = []\\n for line in configFile:\\n if line:\\n if read == 1:\\n if 'Stop' in line:\\n configFile.seek(0)\\n break # exit the function and return the list of files or list information\\n listOfItems.append(line.strip('\\\\n'))\\n if stringFind in line:\\n read = 1 # if find string specified, begin reading lines\\n configFile.seek(0)\\n return listOfItems\",\n \"def extract_pattern(self, patterns):\\n\\n # if we have more patterns or\\n # a single one which is not a file:\\n if len(patterns) > 1 or (\\n len(patterns) == 1 and not os.path.isfile(patterns[0])):\\n return patterns\\n\\n else:\\n pattern = patterns[0]\\n pat_list = []\\n # if PATTERN is a file, extract all patterns\\n if os.path.isfile(pattern):\\n try:\\n with open(pattern, \\\"r\\\", encoding=\\\"utf-8\\\") as p_file:\\n for line in p_file:\\n pat_list.append(line.strip())\\n except Exception:\\n print(\\\"The selected PATH-file cannot be opened! \\\"\\n \\\"Please choose another one.\\\")\\n sys.exit()\\n\\n return pat_list\",\n \"def test_selectfiles_valueerror():\\n base_dir = op.dirname(nipype.__file__)\\n templates = {\\n \\\"model\\\": \\\"interfaces/{package}/model.py\\\",\\n \\\"preprocess\\\": \\\"interfaces/{package}/pre*.py\\\",\\n }\\n force_lists = [\\\"model\\\", \\\"preprocess\\\", \\\"registration\\\"]\\n sf = nio.SelectFiles(templates, base_directory=base_dir, force_lists=force_lists)\\n with pytest.raises(ValueError):\\n sf.run()\",\n \"def search_config(config, preffile=None, inprefs={},\\n nameincludes=None, searchintents=None):\\n\\n # find config properties of interest\\n intent = config.scan_intent\\n antennas = config.get_antennas()\\n antnames = [str(ant.name) for ant in antennas]\\n subbands = config.get_subbands()\\n inttimes = [subband.hw_time_res for subband in subbands]\\n pols = [subband.pp for subband in subbands]\\n nchans = [subband.spectralChannels for subband in subbands]\\n chansizes = [subband.bw/subband.spectralChannels for subband in subbands]\\n reffreqs = [subband.sky_center_freq*1e6 for subband in subbands]\\n\\n # Do not process if...\\n # 1) chansize changes between subbands\\n if not all([chansizes[0] == chansize for chansize in chansizes]):\\n logger.warn(\\\"Channel size changes between subbands: {0}\\\"\\n .format(chansizes))\\n return False\\n\\n # 2) start and stop time is after current time\\n now = time.Time.now().unix\\n startTime = time.Time(config.startTime, format='mjd').unix\\n stopTime = time.Time(config.stopTime, format='mjd').unix\\n if (startTime < now) and (stopTime < now):\\n logger.warn(\\\"Scan startTime and stopTime are in the past ({0}, {1} < {2})\\\"\\n .format(startTime, stopTime, now))\\n return False\\n\\n # 3) if nameincludes set, reject if datasetId does not have it\\n if nameincludes is not None:\\n if nameincludes not in config.datasetId:\\n logger.warn(\\\"datasetId {0} does not include nameincludes {1}\\\"\\n .format(config.datasetId, nameincludes))\\n return False\\n\\n # 4) only search if in searchintents\\n if searchintents is not None:\\n if not any([searchintent in intent for searchintent in searchintents]):\\n logger.warn(\\\"intent {0} not in searchintents list {1}\\\"\\n .format(intent, searchintents))\\n return False\\n\\n # 5) only two antennas\\n if len(antnames) <= 2:\\n logger.warn(\\\"Only {0} antennas in array\\\".format(len(antnames)))\\n return False\\n\\n # 6) only if state validates\\n prefsname = get_prefsname(config=config)\\n if not heuristics.state_validates(config=config, preffile=preffile,\\n prefsname=prefsname, inprefs=inprefs):\\n logger.warn(\\\"State not valid for scanId {0}\\\"\\n .format(config.scanId))\\n return False\\n # 7) only if some fast sampling is done (faster than VLASS final inttime)\\n t_fast = 0.4\\n if not any([inttime < t_fast for inttime in inttimes]):\\n logger.warn(\\\"No subband has integration time faster than {0} s\\\"\\n .format(t_fast))\\n return False\\n\\n return True\",\n \"def register_patterns(self) -> None:\\n\\n if (patterns := getattr(self, \\\"WORDS\\\", None)) is not None:\\n for k, v in patterns.items():\\n self.register_replacement(Replacement(rf\\\"\\\\b{k}\\\\b\\\", v))\\n\\n if (patterns := getattr(self, \\\"PATTERNS\\\", None)) is not None:\\n for k, v in patterns.items():\\n self.register_replacement(Replacement(k, v))\\n\\n if (replacements := getattr(self, \\\"REPLACEMENTS\\\", None)) is not None:\\n for replacement in replacements:\\n self.register_replacement(replacement)\",\n \"def test_available_input_formats():\\n assert set([\\\"Mapchete\\\", \\\"raster_file\\\", \\\"vector_file\\\"]).issubset(\\n set(available_input_formats())\\n )\",\n \"def matchPatterns(path, patterns):\\n name = os.path.basename(path)\\n for p in patterns:\\n if fnmatch.fnmatch(name, p):\\n return True\\n return False\",\n \"def set_patterns(self, strings):\\n\\t\\tself.patterns = []\\n\\n\\t\\tfor string in strings:\\n\\t\\t\\tif isinstance(string, bytes):\\n\\t\\t\\t\\tstring = string.decode('utf-8')\\n\\n\\t\\t\\tself.patterns.append(string)\",\n \"def match_input_files(file: str) -> bool:\\n pattern = r\\\"^input_20\\\\d\\\\d-(0[1-9]|1[012])-(0[1-9]|[12][0-9]|3[01])\\\\.feather\\\"\\n return True if re.match(pattern, file) else False\",\n \"def check_paths(paths):\\n # Assert that no match is found in any of the files\\n for path in paths:\\n if is_binary(path):\\n continue\\n\\n for line in open(path, \\\"r\\\"):\\n match = RE_OBJ.search(line)\\n msg = \\\"cookiecutter variable not replaced in {}\\\"\\n assert match is None, msg.format(path)\",\n \"def check_paths(paths):\\n # Assert that no match is found in any of the files\\n for path in paths:\\n if is_binary(path):\\n continue\\n\\n for line in open(path, \\\"r\\\"):\\n match = RE_OBJ.search(line)\\n msg = \\\"cookiecutter variable not replaced in {}\\\"\\n assert match is None, msg.format(path)\",\n \"def ignore_patterns(*patterns):\\n def _ignore_patterns(path, names):\\n ignored_names = []\\n for pattern in patterns:\\n ignored_names.extend(fnmatch.filter(names, pattern))\\n return set(ignored_names)\\n return _ignore_patterns\",\n \"def _parsed_by_parser_paths(self, filep: str, paths: Mapping[str, List[str]]) -> bool:\\n for directory in paths:\\n for filename in paths[directory]:\\n if fnmatch.fnmatch(filep, os.path.join(directory, filename)):\\n return True\\n return False\",\n \"def exists(*patterns: Any) -> Any: # type: ignore\\n strings: List[str] = []\\n for pattern in each_string(*patterns):\\n if not isinstance(pattern, AnnotatedStr):\\n pattern = AnnotatedStr(pattern)\\n pattern.exists = True\\n strings.append(pattern)\\n if len(patterns) == 1 and isinstance(patterns[0], str):\\n assert len(strings) == 1\\n return strings[0]\\n return strings\",\n \"def _validate_path(mapping: Mapping[str, Any],\\n ref: str) -> Optional[SchemaError]:\\n if 'pattern' in mapping:\\n try:\\n _ = re.compile(mapping['pattern'])\\n except Exception as err: # pylint: disable=broad-except\\n return SchemaError(str(err), ref='{}/pattern'.format(ref))\\n\\n return None\",\n \"def initialize(self):\\n for path in self._paths:\\n for root, dirnames, filenames in os.walk(os.path.expanduser(path)):\\n if self._is_in_excluded_patterns(root):\\n continue\\n for filename in filenames:\\n for pattern in self._patterns:\\n if fnmatch.fnmatch(filename.lower(), pattern):\\n self._files_to_scan.append(PickerPhoto(\\n os.path.join(root, filename)\\n ))\\n if not self._files_to_scan:\\n raise PickerException(\\n PickerException.EMPTY_SCAN,\\n \\\"No photos to scan found in given directory(ies)\\\"\\n )\\n files_to_scan_len = len(self._files_to_scan)\\n if self._photos_count > files_to_scan_len:\\n self._photos_count = files_to_scan_len\",\n \"def insensitive_glob(pattern):\\n def either(c):\\n return '[%s%s]' % (c.lower(), c.upper()) if c.isalpha() else c\\n\\n file_list = sorted(glob.glob(''.join(map(either, pattern))))\\n\\n return file_list\",\n \"def set_arguments(self):\\r\\n\\r\\n self.args.reset()\\r\\n # Path\\r\\n self.args.target = self.m_searchin_text.GetValue()\\r\\n\\r\\n # Search Options\\r\\n self.args.ignore_case = not self.m_case_checkbox.GetValue()\\r\\n self.args.dotall = self.m_dotmatch_checkbox.GetValue()\\r\\n self.args.regexp = self.m_regex_search_checkbox.GetValue()\\r\\n self.args.recursive = self.m_subfolder_checkbox.GetValue()\\r\\n self.args.all_utf8 = self.m_utf8_checkbox.GetValue()\\r\\n self.args.pattern = self.m_searchfor_textbox.Value\\r\\n self.args.text = self.m_binary_checkbox.GetValue()\\r\\n self.args.count_only = self.m_count_only_checkbox.GetValue()\\r\\n self.args.boolean = self.m_boolean_checkbox.GetValue()\\r\\n\\r\\n # Limit Options\\r\\n if isdir(self.args.target):\\r\\n self.args.show_hidden = self.m_hidden_checkbox.GetValue()\\r\\n if self.m_fileregex_checkbox.GetValue():\\r\\n self.args.regexfilepattern = self.m_filematch_textbox.Value\\r\\n elif self.m_filematch_textbox.Value:\\r\\n self.args.filepattern = self.m_filematch_textbox.Value\\r\\n if self.m_exclude_textbox.Value != \\\"\\\":\\r\\n self.args.directory_exclude = self.m_exclude_textbox.Value\\r\\n if self.m_dirregex_checkbox.GetValue():\\r\\n self.args.regexdirpattern = True\\r\\n cmp_size = self.m_logic_choice.GetSelection()\\r\\n if cmp_size:\\r\\n size = self.m_size_text.GetValue()\\r\\n self.args.size_compare = (LIMIT_COMPARE[cmp_size], int(size))\\r\\n else:\\r\\n self.args.size_compare = None\\r\\n cmp_modified = self.m_modified_choice.GetSelection()\\r\\n cmp_created = self.m_created_choice.GetSelection()\\r\\n if cmp_modified:\\r\\n self.args.modified_compare = (\\r\\n LIMIT_COMPARE[cmp_modified],\\r\\n local_time_to_epoch_timestamp(\\r\\n self.m_modified_date_picker.GetValue().Format(\\\"%m/%d/%Y\\\"),\\r\\n self.m_modified_time_picker.GetValue()\\r\\n )\\r\\n )\\r\\n if cmp_created:\\r\\n self.args.created_compare = (\\r\\n LIMIT_COMPARE[cmp_created],\\r\\n local_time_to_epoch_timestamp(\\r\\n self.m_modified_date_picker.GetValue().Format(\\\"%m/%d/%Y\\\"),\\r\\n self.m_modified_time_picker.GetValue()\\r\\n )\\r\\n )\\r\\n else:\\r\\n self.args.text = True\\r\\n\\r\\n debug(self.args.target)\",\n \"def check_paths(coll_path, out):\\n pathpattern = os.path.join(coll_path,\\\"*.xml\\\")\\n try:\\n if not os.path.exists(coll_path):\\n raise ValueError(\\\"Error: The collection could not be found.\\\")\\n except ValueError as err:\\n print(err)\\n exit(1)\\n try:\\n if not os.path.exists(out):\\n raise ValueError(\\\"Error: The output directory could not be found.\\\")\\n except ValueError as err:\\n print(err)\\n exit(1)\\n list_of_filenames = glob.glob(pathpattern)\\n try:\\n if not list_of_filenames:\\n raise ValueError(\\\"Error: No XML file was found in the collection.\\\")\\n except ValueError as err:\\n print(err)\\n exit(1) \\n return list_of_filenames\",\n \"def get_valid_files(paths: List[str]) -> List[str]:\\n all_paths = []\\n\\n for path in paths:\\n if path.endswith('.txt'):\\n all_paths.append(path)\\n elif path.endswith('.zip'):\\n # this is only a placeholder for adding mer files\\n all_paths.extend(get_txt_files_from_zip(path))\\n elif path.endswith('.mer'):\\n all_paths.append(path)\\n else:\\n raise TypeError('Can only import .txt, .zip & .mer. Invalid file: ' + path)\\n return all_paths\",\n \"def pickpattern():\\n\\n pattern = [\\n ['Noun-common.list', 'Verbs-common.list', 'Adj-common.list', 'Nouns-common.list'],\\n ['Noun-common.list', 'Verbs-common.list', 'Nouns-common.list', 'Adverb-common.list'],\\n ['Adj-common.list', 'Nouns-common.list', 'Verb-common.list', 'Adverb-common.list'],\\n ['Noun-common.list', 'Adverb-common.list', 'Verbs-common.list', 'Noun-common.list'],\\n ['Noun-common.list', 'Adverb-common.list', 'Verbs-common.list', 'Nouns-common.list'],\\n ['Noun-common.list', 'Verbs-common.list', 'Adverb-common.list', 'Adj-common.list']\\n ]\\n\\n return choice(pattern)\",\n \"def validate_string_search(self, pattern, file):\\r\\n try:\\r\\n file_open = open(file, 'r')\\r\\n except:\\r\\n logging.info(\\\"file not found\\\")\\r\\n return -1\\r\\n file_data = file_open.read()\\r\\n ret_out = re.search(pattern, file_data)\\r\\n if ret_out:\\r\\n return True, ret_out\\r\\n else:\\r\\n return False, ret_out\",\n \"def match_input_files(file: str) -> bool:\\n pattern = (\\n r\\\"^input_population_20\\\\d\\\\d-(0[1-9]|1[012])-(0[1-9]|[12][0-9]|3[01])\\\\.feather\\\"\\n )\\n return True if re.match(pattern, file) else False\",\n \"def _parse_pattern(cls, pattern, default_pattern: str = \\\"*\\\") -> Pattern:\\n pattern = pattern or default_pattern\\n if pattern is None:\\n return None\\n\\n return Pattern(pattern)\",\n \"def check_input_file(value):\\n if not os.path.exists(value):\\n raise argparse.ArgumentTypeError(f'Input file `{value}` does not exist')\\n\\n return value\",\n \"def match_files(patterns, files):\\n\\tall_files = files if isinstance(files, collections.Container) else list(files)\\n\\treturn_files = set()\\n\\tfor pattern in patterns:\\n\\t\\tif pattern.include is not None:\\n\\t\\t\\tresult_files = pattern.match(all_files)\\n\\t\\t\\tif pattern.include:\\n\\t\\t\\t\\treturn_files.update(result_files)\\n\\t\\t\\telse:\\n\\t\\t\\t\\treturn_files.difference_update(result_files)\\n\\treturn return_files\",\n \"def ignore_pattern_filter(self, path):\\n\\n # Return False for the checksum file.\\n if self.checksum_file_path.exists():\\n if self.checksum_file_path.samefile(path):\\n return False\\n\\n # Return True of no patterns where given.\\n if self.ignore_patterns is None:\\n return True\\n\\n # Loop through all patterns.\\n for pattern in self.ignore_patterns:\\n # Return False if the path matches an ignore pattern.\\n if fnmatch.fnmatch(path.name, pattern):\\n return False\\n\\n # If it reached this point, this means that it doesn't match any of the patterns,\\n # so return True.\\n return True\",\n \"def main():\\n filter_freq = 1.e4\\n re_sample_freq = 1.e5\\n glob_search = '*.log'\\n\\n # parse the command line arguments\\n parser = argparse.ArgumentParser(description=\\\"Filters files in a directory based on a file extension.\\\")\\n parser.add_argument('-d', '--directory', type=str, nargs=1,\\n help=\\\"directory of files to filter. Default is the current directory.\\\")\\n parser.add_argument('-ff', '--filter-freq', type=float, nargs=1,\\n help=\\\"low-pass filter frequency cutoff. Default is {0} Hz\\\".format(filter_freq))\\n parser.add_argument('-osr', '--out-sample-rate', type=float, nargs=1,\\n help=\\\"output sample rate. Default is {0} Hz\\\".format(re_sample_freq))\\n parser.add_argument('-g', '--glob', type=str, nargs=1,\\n help=\\\"Unix pattern to search for files in the directory. Default is \\\\'*.log\\\\', which finds all\\\"\\n \\\" files with a '.log' extension. Must surround with quotes.\\\")\\n parser.add_argument('-r', '--recursive', action='store_true',\\n help=\\\"search for files recursively.\\\")\\n args = parser.parse_args()\\n\\n directory = '.'\\n # Use the command line arguments to set our variables, if necessary.\\n if args.directory is not None:\\n directory = args.directory[0]\\n\\n if args.filter_freq is not None:\\n filter_freq = args.filter_freq[0]\\n\\n if args.out_sample_rate is not None:\\n re_sample_freq = args.out_sample_rate[0]\\n\\n if args.glob is not None:\\n glob_search = args.glob[0]\\n print glob_search\\n\\n # find all of the files in the current directory with .log extension.\\n files = []\\n for root, dirname, filenames in os.walk(directory):\\n for filename in fnmatch.filter(filenames, glob_search):\\n files.append(os.path.join(root, filename))\\n # Only do top level directory, unless recursive is specified.\\n if not args.recursive:\\n break\\n\\n print \\\"Filter frequency: {0} Hz\\\".format(filter_freq)\\n print \\\"Output sample frequency: {0} Hz\\\".format(re_sample_freq)\\n print \\\"Glob search: {0}\\\".format(glob_search)\\n print \\\"Recursive: {0}\\\".format(args.recursive)\\n print \\\"Filtering these files:\\\", files\\n print \\\"\\\\n----------------------------\\\\n\\\"\\n\\n p = Pool()\\n\\n # add the file names and filter frequency and output sample rate to a tuple to pass in multiprocessing\\n pool_args = []\\n for filename in files:\\n tup = (filename, filter_freq, re_sample_freq)\\n pool_args.append(tup)\\n\\n # filter each file\\n output_file_names = p.map(_filter_wrap, pool_args)\\n\\n print \\\"\\\\n----------------------------\\\\n\\\"\\n print \\\"Output files:\\\", output_file_names\",\n \"def recognize_files(list_of_filenames):\\n reg_exp = define_regex()\\n pattern = re.compile(reg_exp) \\n matched = []\\n for filename in list_of_filenames:\\n match = pattern.match(filename)\\n if match != None:\\n matched.append(filename)\\n return matched\",\n \"def test_file_paths(self, site):\\n \\n if site.home_page.contains_any_pattern(\\n ['/etc/designs/','/libs/cq/', '/libs/wcm/', '/content/dam/']\\n ):\\n return 1\\n else:\\n return 0\",\n \"def setPatterns(self, value):\\n return self._set(patterns=value)\",\n \"def _parse_launch_args(args, logger):\\n if not args:\\n return []\\n\\n if isinstance(args, str):\\n args = [args]\\n\\n override_list = []\\n\\n # Now look for any option and conf file arguments:\\n bad = False\\n for arg in args:\\n m = re.match(r'''(?x)\\n (?P<section>[a-zA-Z][a-zA-Z0-9_]*)\\n \\\\.(?P<option>[^=]+)\\n =(?P<value>.*)$''', arg)\\n # check if argument is a explicit variable override\\n if m:\\n section = m.group('section')\\n key = m.group('option')\\n value = m.group('value')\\n override_list.append((section, key, value))\\n continue\\n\\n filepath = arg\\n # check if argument is a path to a file that exists\\n if not os.path.exists(filepath):\\n logger.error(f'Invalid argument: {filepath}')\\n bad = True\\n continue\\n\\n # expand file path to full path\\n filepath = os.path.realpath(filepath)\\n\\n # path exists but is not a file\\n if not os.path.isfile(filepath):\\n logger.error(f'Conf is not a file: {filepath}')\\n bad = True\\n continue\\n\\n # warn and skip if file is empty\\n if os.stat(filepath).st_size == 0:\\n logger.warning(f'Conf file is empty: {filepath}. Skipping')\\n continue\\n\\n # add file path to override list\\n override_list.append(filepath)\\n\\n # exit if anything went wrong reading config arguments\\n if bad:\\n sys.exit(2)\\n\\n return override_list\",\n \"def __check_pattern(node):\\n if node.tag != \\\"discover_datasets\\\":\\n return False\\n if \\\"from_tool_provided_metadata\\\" in node.attrib and string_as_bool(\\n node.attrib.get(\\\"from_tool_provided_metadata\\\", \\\"false\\\")\\n ):\\n return True\\n if \\\"pattern\\\" not in node.attrib:\\n return False\\n pattern = node.attrib[\\\"pattern\\\"]\\n regex_pattern = NAMED_PATTERNS.get(pattern, pattern)\\n # TODO error on wrong pattern or non-regexp\\n if \\\"(?P<ext>\\\" in regex_pattern:\\n return True\",\n \"def test_build_filter_patterns(self):\\n mocked_config = self.MockedTreeConfig(filter_patterns=['*.compiled',\\n 'data*'])\\n patched_builder = self.PatchedNodeTreeBuilder(root_dir=\\\".\\\",\\n config=mocked_config)\\n\\n root = patched_builder.build()\\n\\n nodes = self.NodesAccumulator()\\n root.visit(nodes)\\n\\n # ensure what's in\\n self.assertTrue('emptydir' in nodes) # empty dirs are still listed (unless ignored)\\n self.assertTrue('somedir' in nodes)\\n\\n self.assertTrue('datafile.xml' in nodes)\\n self.assertTrue('somefile.compiled' in nodes)\\n self.assertTrue('ignore.me.compiled' in nodes)\\n\\n # also ensure that anything that doesn't match the pattern, is thrown out\\n self.assertTrue('testfile' not in nodes)\\n self.assertTrue('somefile1' not in nodes)\\n self.assertTrue('somefile2' not in nodes)\\n self.assertTrue('somefile3' not in nodes)\\n self.assertTrue('.hiddendir' not in nodes)\\n self.assertTrue('.hiddenfile' not in nodes)\\n self.assertTrue('.hiddenfile.compiled' not in nodes)\",\n \"def check_sanity(params):\\n \\n for dpath in ['input_dir','output_dir']:\\n if path.isdir(params[dpath]) == False:\\n print('ERROR: Cannot find directory '+params[dpath])\\n exit()\\n \\n if path.isfile(params['star_file']) == False:\\n print('ERROR: Cannot find star file '+params['star_file'])\\n exit()\",\n \"def file_matches(self, text):\\n \\n #print 'Completer->file_matches: <%s>' % text # dbg\\n\\n # chars that require escaping with backslash - i.e. chars\\n # that readline treats incorrectly as delimiters, but we\\n # don't want to treat as delimiters in filename matching\\n # when escaped with backslash\\n \\n protectables = ' ()[]{}'\\n\\n def protect_filename(s):\\n return \\\"\\\".join([(ch in protectables and '\\\\\\\\' + ch or ch)\\n for ch in s])\\n\\n lbuf = self.get_line_buffer()[:self.readline.get_endidx()]\\n open_quotes = 0 # track strings with open quotes\\n try:\\n lsplit = shlex_split(lbuf)[-1]\\n except ValueError:\\n # typically an unmatched \\\", or backslash without escaped char.\\n if lbuf.count('\\\"')==1:\\n open_quotes = 1\\n lsplit = lbuf.split('\\\"')[-1]\\n elif lbuf.count(\\\"'\\\")==1:\\n open_quotes = 1\\n lsplit = lbuf.split(\\\"'\\\")[-1]\\n else:\\n return None\\n except IndexError:\\n # tab pressed on empty line\\n lsplit = \\\"\\\"\\n\\n if lsplit != protect_filename(lsplit):\\n # if protectables are found, do matching on the whole escaped\\n # name\\n has_protectables = 1\\n text0,text = text,lsplit\\n else:\\n has_protectables = 0\\n text = os.path.expanduser(text)\\n \\n if text == \\\"\\\":\\n return [protect_filename(f) for f in self.glob(\\\"*\\\")]\\n\\n m0 = self.clean_glob(text.replace('\\\\\\\\',''))\\n if has_protectables:\\n # If we had protectables, we need to revert our changes to the\\n # beginning of filename so that we don't double-write the part\\n # of the filename we have so far\\n len_lsplit = len(lsplit)\\n matches = [text0 + protect_filename(f[len_lsplit:]) for f in m0]\\n else:\\n if open_quotes:\\n # if we have a string with an open quote, we don't need to\\n # protect the names at all (and we _shouldn't_, as it\\n # would cause bugs when the filesystem call is made).\\n matches = m0\\n else:\\n matches = [protect_filename(f) for f in m0]\\n if len(matches) == 1 and os.path.isdir(matches[0]):\\n # Takes care of links to directories also. Use '/'\\n # explicitly, even under Windows, so that name completions\\n # don't end up escaped.\\n matches[0] += '/'\\n return matches\",\n \"def analyse_files_against_regex_pattern(files, pattern):\\n # boolean to check if docs are to be generated\\n comments_for_jsdoc_exists = False\\n # reading file content and comparing with pattern\\n for filepath in files:\\n if comments_for_jsdoc_exists:\\n break\\n with open(filepath, encoding='utf-8') as code:\\n file_content = code.read()\\n matches = pattern.search(file_content)\\n if matches:\\n comments_for_jsdoc_exists = True\\n break\\n\\n return comments_for_jsdoc_exists\",\n \"def scan(self):\\n exclude_patterns_config = self.doxygen_config.get(\\\"EXCLUDE_PATTERNS\\\", [])\\n exclude_patterns = [\\n pattern.replace(\\\"*/\\\", \\\"**/\\\") for pattern in exclude_patterns_config\\n ]\\n file_patterns = self.doxygen_config.get(\\\"FILE_PATTERNS\\\", [\\\"*.c\\\", \\\"*.h\\\"])\\n if self.doxygen_config.get(\\\"RECURSIVE\\\", [\\\"YES\\\"]) == [\\\"YES\\\"]:\\n file_patterns = [f\\\"**/{pattern}\\\" for pattern in file_patterns]\\n nodes = []\\n names = []\\n for node in self.doxygen_input:\\n if os.path.isdir(node.abspath()):\\n for i in node.ant_glob(incl=file_patterns, excl=exclude_patterns):\\n nodes.append(i)\\n else:\\n nodes.append(node)\\n return (nodes, names)\",\n \"def check_search_argument(search):\\n\\n if search != '' and not re.match(r\\\"^(([\\\\w.:\\\\/\\\\-)+\\\\=([\\\\w.:\\\\/\\\\-])+\\\\s?)+\\\", search):\\n print(\\\"The search items must match the format 'field=string'\\\")\\n sys.exit(0)\\n search_items = search.split(' ')\\n\\n return search_items\",\n \"def glob(patterns: list[str]) -> Table:\\n for val in _ensure_list(patterns):\\n fol, _, pat = val.partition(\\\"/*\\\")\\n folder = Path(fol)\\n for file in folder.glob(\\\"*\\\" + pat):\\n yield {\\\"file\\\": str(file)}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5847642","0.571779","0.56237805","0.5558958","0.5545299","0.54854465","0.54795384","0.53806275","0.53201216","0.5245875","0.52377","0.5226893","0.52046716","0.51762396","0.5132988","0.5130737","0.50783855","0.50730044","0.5066616","0.5059243","0.5021123","0.498221","0.49799004","0.49786136","0.49680987","0.4960426","0.49567676","0.49327782","0.49247828","0.49234077","0.49186048","0.49179927","0.4915072","0.49106935","0.48989058","0.4878114","0.4875617","0.4868204","0.48637047","0.48627746","0.4832149","0.48315758","0.48284838","0.4816983","0.48112524","0.47968018","0.47967204","0.4789496","0.4780939","0.47740602","0.47717074","0.47628078","0.47570255","0.4748434","0.47366425","0.47350588","0.47284356","0.47284356","0.4715262","0.47144485","0.47098106","0.47068635","0.47065395","0.47005877","0.46886802","0.4686501","0.46832073","0.46799558","0.46795902","0.46725583","0.46725583","0.46647233","0.46609366","0.46578074","0.46522444","0.46490833","0.46336672","0.46293476","0.4626065","0.4623591","0.4623166","0.4620894","0.46183696","0.46161708","0.46143258","0.4613522","0.46132472","0.46081772","0.46073908","0.46044642","0.46005714","0.4600131","0.45980036","0.45886502","0.4581938","0.45811313","0.4576473","0.4572795","0.45652828","0.4557226"],"string":"[\n \"0.5847642\",\n \"0.571779\",\n \"0.56237805\",\n \"0.5558958\",\n \"0.5545299\",\n \"0.54854465\",\n \"0.54795384\",\n \"0.53806275\",\n \"0.53201216\",\n \"0.5245875\",\n \"0.52377\",\n \"0.5226893\",\n \"0.52046716\",\n \"0.51762396\",\n \"0.5132988\",\n \"0.5130737\",\n \"0.50783855\",\n \"0.50730044\",\n \"0.5066616\",\n \"0.5059243\",\n \"0.5021123\",\n \"0.498221\",\n \"0.49799004\",\n \"0.49786136\",\n \"0.49680987\",\n \"0.4960426\",\n \"0.49567676\",\n \"0.49327782\",\n \"0.49247828\",\n \"0.49234077\",\n \"0.49186048\",\n \"0.49179927\",\n \"0.4915072\",\n \"0.49106935\",\n \"0.48989058\",\n \"0.4878114\",\n \"0.4875617\",\n \"0.4868204\",\n \"0.48637047\",\n \"0.48627746\",\n \"0.4832149\",\n \"0.48315758\",\n \"0.48284838\",\n \"0.4816983\",\n \"0.48112524\",\n \"0.47968018\",\n \"0.47967204\",\n \"0.4789496\",\n \"0.4780939\",\n \"0.47740602\",\n \"0.47717074\",\n \"0.47628078\",\n \"0.47570255\",\n \"0.4748434\",\n \"0.47366425\",\n \"0.47350588\",\n \"0.47284356\",\n \"0.47284356\",\n \"0.4715262\",\n \"0.47144485\",\n \"0.47098106\",\n \"0.47068635\",\n \"0.47065395\",\n \"0.47005877\",\n \"0.46886802\",\n \"0.4686501\",\n \"0.46832073\",\n \"0.46799558\",\n \"0.46795902\",\n \"0.46725583\",\n \"0.46725583\",\n \"0.46647233\",\n \"0.46609366\",\n \"0.46578074\",\n \"0.46522444\",\n \"0.46490833\",\n \"0.46336672\",\n \"0.46293476\",\n \"0.4626065\",\n \"0.4623591\",\n \"0.4623166\",\n \"0.4620894\",\n \"0.46183696\",\n \"0.46161708\",\n \"0.46143258\",\n \"0.4613522\",\n \"0.46132472\",\n \"0.46081772\",\n \"0.46073908\",\n \"0.46044642\",\n \"0.46005714\",\n \"0.4600131\",\n \"0.45980036\",\n \"0.45886502\",\n \"0.4581938\",\n \"0.45811313\",\n \"0.4576473\",\n \"0.4572795\",\n \"0.45652828\",\n \"0.4557226\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6681264"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":91291,"cells":{"query":{"kind":"string","value":"Build a Lambda payload from user configuration and uploads it to S3."},"document":{"kind":"string","value":"def _upload_function(\n s3_conn: S3Client,\n bucket: str,\n prefix: str,\n name: str,\n options: _UploadFunctionOptionsTypeDef,\n follow_symlinks: bool,\n payload_acl: ObjectCannedACLType,\n sys_path: str,\n work_dir: Path,\n) -> Code:\n try:\n root = os.path.expanduser(options[\"path\"])\n except KeyError as exc:\n raise ValueError(\n f\"missing required property '{exc.args[0]}' in function '{name}'\"\n ) from exc\n\n includes = _check_pattern_list(options.get(\"include\"), \"include\", default=[\"**\"])\n excludes = _check_pattern_list(options.get(\"exclude\"), \"exclude\", default=[])\n\n LOGGER.debug(\"processing function: %s\", name)\n\n # os.path.join will ignore other parameters if the right-most one is an\n # absolute path, which is exactly what we want.\n if not os.path.isabs(root):\n root = os.path.abspath(os.path.join(sys_path, root))\n requirements_files = find_requirements(root)\n if requirements_files:\n zip_contents, content_hash = _zip_package(\n root,\n includes=cast(List[str], includes),\n excludes=excludes,\n follow_symlinks=follow_symlinks,\n requirements_files=requirements_files,\n work_dir=work_dir,\n **options,\n )\n else:\n zip_contents, content_hash = _zip_from_file_patterns(\n root, cast(List[str], includes), cast(List[str], excludes), follow_symlinks\n )\n\n return _upload_code(\n s3_conn, bucket, prefix, name, zip_contents, content_hash, payload_acl\n )"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def lambda_handler(event, context):\n \n filename = None\n fobj = None\n\n try:\n \n filename = 'dlq' + '-' + datetime.datetime.now().strftime(\"%s\")\n fobj = open('/tmp/'+filename, 'w')\n logger.debug('S3 client set up.')\n\n for record in event['Records']:\n fobj.write(json.dumps(record['body']))\n fobj.write(\"\\n\")\n \n except Exception as ex:\n logger.error('Exception in executing ingestion to S3: {}'.format(ex))\n send_sns_alert(str(ex))\n raise\n\n else:\n \n #Saves file to S3\n fobj.close()\n load_data_s3(filename)\n\n return {\n 'statusCode': 200,\n 'body': json.dumps('Success!')\n }\n\n finally:\n\n # S3 - close temp object\n fobj.close()","def lambda_handler(event, context):\n try:\n # Extract the Job ID\n job_id = event['CodePipeline.job']['id']\n\n # Extract the Job Data\n job_data = event['CodePipeline.job']['data']\n\n # Extract the params\n params = get_user_params(job_data)\n\n # Get the lists of artifacts coming in and out of this function\n input_artifacts = job_data['inputArtifacts']\n output_artifacts = job_data['outputArtifacts']\n\n # Perform a build on the source (from source_artifact)\n # and write results to the build_artifact\n s3 = setup_s3_client(job_data)\n source_artifact = find_artifact(input_artifacts, params['source_artifact'])\n src_dir = get_zipped_artifact(s3, source_artifact)\n dest_dir = tempfile.mkdtemp()\n perform_build(os.path.join(src_dir, 'src'), dest_dir)\n build_artifact = find_artifact(output_artifacts, params['build_artifact'])\n put_zipped_artifact(s3, dest_dir, build_artifact)\n\n # Pick the template out of the source code and write it to the\n # template_artifact\n template_artifact = find_artifact(output_artifacts, params['template_artifact'])\n put_zipped_artifact(s3, os.path.join(src_dir, params['template_subdir_path']), template_artifact)\n\n shutil.rmtree(src_dir)\n shutil.rmtree(dest_dir)\n put_job_success(job_id, \"Built code: \" + \", template:\")\n\n except Exception as e:\n # If any other exceptions which we didn't expect are raised\n # then fail the job and log the exception message.\n print('Function failed due to exception.')\n print(e)\n traceback.print_exc()\n put_job_failure(job_id, 'Function exception: ' + str(e))\n\n print('Function complete.')\n return \"Complete.\"","def main(event, context):\n s3 = boto3.resource('s3')\n try:\n s3.meta.client.download_file(S3_BUCKET, S3_EDITORS_KEY, '/tmp/local.json')\n except ClientError as e:\n print('Error downloading file from S3 {}'.format(e))\n return {'statusCode': 400, 'body': json.dumps({'status': str(e)})}\n try:\n user = event['pathParameters']['user']\n attributes = json.loads(event['body'])\n age = attributes['age']\n editor = attributes['editor']\n except KeyError as error:\n print('Problem getting data from request: {}'.format(error))\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}\n with open('/tmp/local.json', 'a') as local:\n data = dict(\n user=user,\n age=age,\n editor=editor,\n now=datetime.now().isoformat(' ')\n )\n json.dump(data, local)\n local.write('\\n')\n try:\n s3.meta.client.upload_file('/tmp/local.json', S3_BUCKET, S3_EDITORS_KEY)\n return {'statusCode': 200, 'body': json.dumps({'status': 'success'})}\n except ClientError as error:\n print('Problem uploading file to S3: {}'.format(error))\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}","def lambda_handler(event, context): # pylint: disable=too-many-locals,too-many-branches,too-many-statements\r\n try: # pylint: disable=too-many-nested-blocks\r\n print(\"Execution started!\")\r\n #print(\"Event: \",event)\r\n # Bucket name and Full path for file - where file will be uploded\r\n source_bucket_name = event[\"detail\"][\"requestParameters\"][\"bucketName\"]\r\n source_key = urllib.parse.unquote_plus(\r\n event[\"detail\"][\"requestParameters\"][\"key\"], encoding='utf-8')\r\n \r\n print(\"file_path: \",source_key)\r\n #Loading master config\r\n print(\"Loading master_config\")\r\n audit_config = {}\r\n config_path = \"./config/\" + \\\r\n os.environ['CCM_ENV'] + \"/master_config.json\"\r\n config_content = open(config_path).read()\r\n config_json = json.loads(config_content)\r\n audit_config = config_json[\"audit_config\"]\r\n snow_params = config_json[\"ERROR_NOTIFICATION_SNOW_PARAMS\"]\r\n athena_query_param = config_json[\"ATHENA_QUERY_PARAMS\"]\r\n athena_table_params = config_json[\"ATHENA_TABLE_PARAMS\"]\r\n\r\n # Audit Parameters Based on the Invoking lambda and its operation involved\r\n audit_config[\"component_type_code\"] = \"ETL\"\r\n audit_config[\"component_name\"] = \"PCP Appflow\"\r\n audit_config[\"source_name\"] = \"Patient Connections Platform\"\r\n audit_config[\"target_name\"] = \"Consumer Consent Management\"\r\n audit_config[\"full_file_path\"] = \"s3://\" + \\\r\n source_bucket_name + \"/\" + source_key\r\n audit_config[\"file_version_id\"] = \"\"\r\n\r\n # Creates Job Entry in ABC Framework\r\n print(\"audit config::\", audit_config)\r\n process_execution_id = audit_helper.\\\r\n invoke_edb_abc_log_process_status_event_job_entry(audit_config)\r\n audit_config[\"process_execution_id\"] = process_execution_id\r\n print(\"process_execution_id ::\", process_execution_id)\r\n #print(\"source_key: \",source_key)\r\n s3_write = boto3.client('s3')\r\n record_dict = {}\r\n file_name = \"\"\r\n final_json = \"\"\r\n # prefix = \"\"\r\n # file_list = []\r\n # client = boto3.client(\"s3\")\r\n # result = client.list_objects(Bucket=source_bucket_name, Prefix=source_key, Delimiter='/')\r\n # #print(result)\r\n # for obj in result.get('CommonPrefixes'):\r\n # prefix = obj.get('Prefix')\r\n # #print(prefix)\r\n # file_list = list_files(client,source_bucket_name,prefix)\r\n # for file in file_list:\r\n # #print(file)\r\n json_read = read_s3_file(source_bucket_name, source_key)\r\n data = json.loads(json_read)\r\n #print(data)\r\n if data != '':\r\n record_dict = {k.lower(): v for k, v in data.items()}\r\n print(\"Record_Dict::\",record_dict)\r\n event_type_param = {}\r\n event_type_list = athena_table_params.keys()\r\n print(\"event_type_list\",event_type_list)\r\n for key in event_type_list:\r\n print(\"key\",key)\r\n if key in source_key:\r\n print(\"key\",key)\r\n event_type_param = athena_table_params[key]\r\n print(event_type_param)\r\n if \"changeeventheader\" in record_dict:\r\n if record_dict[\"changeeventheader\"][\"changeType\"] == \"CREATE\":\r\n #and record_dict[\"dtpc_affiliate__c\"] == 'US':\r\n recordid_create = record_dict[\"changeeventheader\"][\"recordIds\"][0]\r\n print(recordid_create)\r\n if recordid_create != '':\r\n last_modified_date = record_dict[\"lastmodifieddate\"].replace(\":\",\".\")\r\n create_json = json.dumps(record_dict)\r\n final_json = create_json\r\n file_name = recordid_create + \"-create-\" + str(last_modified_date)\r\n print(\"file_name: \",file_name)\r\n outbound_path = event_type_param[\"folder_path\"]\r\n final_source_key = outbound_path + '/' + file_name+\".json\"\r\n print(\"final_source_key :\", final_source_key)\r\n s3_write.put_object(\r\n Body=final_json, Bucket=source_bucket_name, Key=final_source_key)\r\n else:\r\n raise Exception(\"RecordId is missing: \", record_dict)\r\n elif record_dict[\"changeeventheader\"][\"changeType\"] == \"UPDATE\":\r\n record_ids_list = record_dict[\"changeeventheader\"][\"recordIds\"]\r\n if len(record_ids_list) != 0:\r\n for ele in record_ids_list:\r\n print(ele)\r\n element = \"'\" + ele + \"'\"\r\n payload_condition = event_type_param[\"recordid_condition\"]\r\n query = 'SELECT * FROM '+event_type_param[\"athena_create_table\"]+\\\r\n ' WHERE lastmodifieddate IN(SELECT max(lastmodifieddate) from '\\\r\n +event_type_param[\"athena_create_table\"]+\\\r\n ', UNNEST(\"'+payload_condition[0]+'\".\"'+payload_condition[1]+\\\r\n '\") AS ln(jsondata) WHERE jsondata IN ('+element+'));'\r\n print(query)\r\n athena_query_param['athena_query'] = query\r\n query_result_record_id = athena_helper.perform_athena_search\\\r\n (athena_query_param)\r\n print(\"Athena Query Result for Create Path:::\", query_result_record_id)\r\n update_json = create_complete_payload(data,query_result_record_id)\r\n print(\"update_json: \",update_json)\r\n if len(update_json) != 0:\r\n last_modified_date = record_dict[\"lastmodifieddate\"].replace\\\r\n (\":\",\".\")\r\n final_json = json.dumps(update_json)\r\n file_name = ele + \"-update-\" + str(last_modified_date)\r\n print(\"file_name: \",file_name)\r\n outbound_path = event_type_param[\"folder_path\"]\r\n final_source_key = outbound_path + '/' + file_name+\".json\"\r\n print(\"final_source_key :\", final_source_key)\r\n s3_write.put_object(\r\n Body=final_json, Bucket=source_bucket_name, \\\r\n Key=final_source_key)\r\n else:\r\n print(ele,\" does not have a create payload\")\r\n else:\r\n raise Exception(\"RecordId is missing: \", record_dict)\r\n else:\r\n raise Exception(\"ChangeEventHeader is missing: \", record_dict)\r\n else:\r\n raise Exception(\"Invalid Payload: \", record_dict)\r\n\r\n except (Exception) as err: # pylint: disable=line-too-long,broad-except\r\n print(\"Error occured: {0}\".format(str(err)))\r\n audit_type = \"error\"\r\n error_msg = sys.exc_info()\r\n exc_type = error_msg\r\n exc_obj = error_msg\r\n snow_params[\"flag\"] = \"FAIL\"\r\n snow_params[\"error_message\"] = str(exc_obj)\r\n snow_params[\"error_type\"] = str(exc_type)\r\n audit_config[\"exception_message\"] = str(exc_obj)\r\n if audit_config != {}:\r\n logging.exception(sys.exc_info())\r\n audit_helper.invoke_edb_abc_log_process_status_event(\r\n audit_type, audit_config) # pylint: disable=line-too-long\r\n audit_helper.raise_snow_incident(snow_params)","def preprocess(event, context):\n # create file in DDB\n file_id = utils.generate_id()\n file_request = json.loads(event.get('body'))\n FileModel.create({\n 'id': file_id,\n 'name': file_request.get('name')\n })\n LOGGER.debug('Files item created. service=ddb method=put_item id={}'.format(file_id))\n # generate signed URL for posting file\n url = S3_CLIENT.generate_presigned_url(\n ClientMethod='put_object',\n Params={\n 'Bucket': runtime_context.BUCKET_NAME,\n 'Key': file_id\n },\n ExpiresIn=runtime_context.EXPIRATION\n )\n LOGGER.debug('Presigned URL generated. service=s3 method=put_object id={}'.format(file_id))\n # send back the signed url\n return {\n \"statusCode\": 200,\n \"body\": json.dumps({\n 'id': file_id,\n 'url': url\n }),\n # CORS header\n \"headers\": {\n \"Access-Control-Allow-Origin\": \"*\"\n }\n }","def lambda_handler(event, context):\n\n # Get details from the event.\n job = event[\"CodePipeline.job\"]\n input_bucket, input_key = get_input_artifact_location(job)\n output_bucket, output_key = get_output_artifact_location(job)\n user_params = get_user_parameters(job)\n assume_role_arn = user_params[\"AssumeRoleArn\"]\n image_parameter_name = user_params[\"ImageParameterName\"]\n stack_name = user_params[\"StackName\"]\n template_filename = user_params[\"TemplateFilename\"]\n\n # Create client in the pipeline account.\n pipeline_s3_client = get_artifact_s3_client(job)\n\n # Create clients in the target account.\n target_session = get_session(\n role_arn=assume_role_arn, session_name=\"prepare-ami-deployment\"\n )\n target_cfn_client = target_session.client(\"cloudformation\")\n target_ssm_client = target_session.client(\"ssm\")\n\n # Download the input artifact zip file, read manifest.json from it,\n # and get the AMI it references. Also look up the associated image name.\n with download_zip_file(\n s3_client=pipeline_s3_client, bucket=input_bucket, key=input_key\n ) as zip_file:\n image_detail_string = zip_file.read(\"imageDetail.json\").decode(\"utf-8\")\n log(\"IMAGE_DETAIL_STRING\", image_detail_string)\n image_detail = json.loads(image_detail_string)\n image = image_detail[\"ImageURI\"]\n log(\"IMAGE\", image)\n\n # Update the SSM parameters with the image,\n # to be used by the CloudFormation deployment stage of the pipeline.\n target_ssm_client.put_parameter(\n Name=image_parameter_name, Value=image, Type=\"String\", Overwrite=True\n )\n\n # Write the CloudFormation stack's template to the output artifact location,\n # to be used by the CloudFormation deployment stage of the pipeline.\n template = get_cloudformation_template(\n cfn_client=target_cfn_client, stack_name=stack_name\n )\n with create_zip_file({template_filename: template}) as zip_path:\n pipeline_s3_client.upload_file(zip_path, output_bucket, output_key)","def get_lambda_payload(self, date: str, symbol: str) -> bytes:\n self._lambda_event['s3_bucket'] = self._config['s3_bucket']\n self._lambda_event['s3_key_quotes'] = (\n self._config['s3_key_input_prefix'] + date + '/' + symbol + '/' +\n self._config['s3_key_quotes_suffix'])\n self._lambda_event['s3_key_trades'] = (\n self._config['s3_key_input_prefix'] + date + '/' + symbol + '/' +\n self._config['s3_key_trades_suffix'])\n self._lambda_event['s3_key_output'] = (\n self._config['s3_key_output_prefix'] + date + '/' + symbol + '/' +\n self._config['s3_key_output_suffix'])\n return json.dumps(self._lambda_event).encode()","def project_uploader():\n if not current_app.config['S3_KEY']:\n return ''\n if len(request.files) == 0:\n return 'No files selected'\n img = request.files['file']\n if not img or img.filename == '':\n return 'No filename'\n ext = img.filename.split('.')[-1].lower()\n if ext not in ACCEPTED_TYPES:\n return 'Invalid format (allowed: %s)' % ','.join(ACCEPTED_TYPES)\n # generate a simpler filename\n keepcharacters = ('.', '_')\n safe_filename = img.filename.replace(' ', '_')\n safe_filename = \"\".join(\n c for c in safe_filename\n if c.isalnum() or c in keepcharacters).rstrip()\n if not safe_filename:\n safe_filename = \"\".join(random_password(8), '.', ext)\n # use random subfolder inside user id folder\n filename = '/'.join([\n str(current_user.id),\n random_password(24),\n safe_filename\n ])\n # with tempfile.TemporaryDirectory() as tmpdir:\n # img.save(path.join(tmpdir, filename))\n if 'S3_FOLDER' in current_app.config:\n s3_filepath = '/'.join([current_app.config['S3_FOLDER'], filename])\n else:\n s3_filepath = filename\n # print('Uploading to %s' % s3_filepath)\n if 'S3_ENDPOINT' in current_app.config:\n s3_obj = boto3.client(\n service_name='s3',\n endpoint_url=current_app.config['S3_ENDPOINT'],\n aws_access_key_id=current_app.config['S3_KEY'],\n aws_secret_access_key=current_app.config['S3_SECRET'],\n )\n #print('Uploading to endpoint %s' % current_app.config['S3_ENDPOINT'])\n else:\n s3_obj = boto3.client(\n service_name='s3',\n region_name=current_app.config['S3_REGION'],\n aws_access_key_id=current_app.config['S3_KEY'],\n aws_secret_access_key=current_app.config['S3_SECRET'],\n )\n #print('Uploading to region %s' % current_app.config['S3_REGION'])\n # Commence upload\n s3_obj.upload_fileobj(img,\n current_app.config['S3_BUCKET'],\n s3_filepath,\n ExtraArgs={'ContentType': img.content_type,\n 'ACL': 'public-read'}\n )\n return escape('/'.join([current_app.config['S3_HTTPS'], s3_filepath]))","def lambda_handler(event, context):\n\n try:\n\n global AWS_REGION\n\n AWS_REGION = event['Records'][0]['awsRegion']\n\n s3objkey = urllib.parse.unquote_plus(event['Records'][0]['s3']['object']['key'], encoding='utf-8')\n s3objsize = event['Records'][0]['s3']['object']['size']\n bucket = event['Records'][0]['s3']['bucket']['name']\n \n print(\"\\nDealing with <- {} -> image from album [- {} -]\".format(str(s3objkey).split('/')[-1],\n str(s3objkey).split('/')[-2]))\n\n full_table_name = DDB_TABLE + '_' + bucket\n ddb_table = boto3.resource('dynamodb', region_name=AWS_REGION).Table(full_table_name)\n\n resp = ddb_table.get_item(Key={'FileName': s3objkey})\n okey = resp.get('Item', {'OptimizedSizeKey': 'None'}).get('OptimizedSizeKey', 'No')\n\n if okey == 'Yes': # In DB file marked as optimized\n\n lbls = detect_rk_labels(s3objkey, s3objsize, bucket)\n exiftags = fetch_exif_tags(s3objkey, bucket)\n update_pig_config_ddb(s3objkey, bucket, lbls, exiftags, okey)\n\n elif okey == 'No' or okey == 'None': # file size is not optimized according to DB record\n\n _, optimized_img_path = img_optimizer(s3objkey, bucket)\n update_pig_config_ddb(s3objkey, bucket, ok='Yes', _json=False)\n\n # Now we can PUT optimized file from /tmp to bucket\n s3client = boto3.client('s3', region_name=AWS_REGION)\n with open(optimized_img_path, 'rb') as content: # Upload optimized image to S3 (invokes another Lambda)\n\n ext = s3objkey.split('/')[-1].split('.')[-1]\n for e, m in metadata.items():\n if e == ext:\n s3client.upload_fileobj(content,\n bucket,\n s3objkey,\n ExtraArgs={'ContentType': m})\n\n print(\"Image {} size was optimized and uploaded to bucket as {}\".format(\n str(s3objkey).split('/')[-1], s3objkey))\n\n print(\"\\nTime remaining (MS): {}\\n\".format(context.get_remaining_time_in_millis()))\n\n except Exception as e:\n print('ERROR: ', e)","def lambda_handler(event, context):\n\n for record in event['Records']:\n\n bucket = record['s3']['bucket']['name']\n key = unquote_plus(record['s3']['object']['key'])\n\n str_value = s3_utils.download_file_as_string(bucket, key)\n data = json.loads(str_value)\n\n normalized_data = {\n 'meta': {\n 'table': 'parcels',\n 'column_names': [\n 'dataset',\n 'as_of',\n 'apn',\n 'objectid',\n 'city',\n 'x_coordinate',\n 'y_coordinate',\n 'area',\n 'length'\n ]\n }\n }\n\n rows = []\n\n dataset = data['meta']['dataset']\n as_of = data['meta']['datetime']\n\n for r in data['results']:\n\n attr = r['attributes']\n\n temp_dict = {\n 'dataset': dataset,\n 'as_of': as_of,\n 'apn': attr.get('APN_SPACE'),\n 'objectid': attr.get('OBJECTID'),\n 'city': attr.get('CITY'),\n 'x_coordinate': attr.get('X'),\n 'y_coordinate': attr.get('Y'),\n 'area': attr.get('Shape.STArea()'),\n 'length': attr.get('Shape.STLength()')\n }\n\n rows.append(temp_dict)\n\n normalized_data['rows'] = rows\n \n bucket = 'gis-data-normalized'\n file_name = 'normalized_' + key\n s3_utils.upload_json_as_file(normalized_data, bucket, file_name)","def sync_to_bucket(s3_url,\n region='eu-west-1',\n profile_name=None):\n\n parsed_s3_url = urlparse.urlparse(s3_url);\n\n bucket_name = parsed_s3_url.hostname;\n key_prefix = parsed_s3_url.path;\n if key_prefix[0] == '/':\n key_prefix = key_prefix[1:]\n if key_prefix[-1] != '/':\n key_prefix = key_prefix + '/'\n\n def inner(fn_inner):\n \"\"\"\n Decorator function function sent in should be having signature\n func(None,None, XmlDoc) and should yield JSON document one for\n each file that should be persisted to S3\n \"\"\"\n\n def handler(event, context):\n \"\"\"\n The AWS Lambda Entry Point\n \"\"\"\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');\n\n return handler\n\n return inner","def _upload_code(\n s3_conn: S3Client,\n bucket: str,\n prefix: str,\n name: str,\n contents: Union[bytes, str],\n content_hash: str,\n payload_acl: ObjectCannedACLType,\n) -> Code:\n LOGGER.debug(\"ZIP hash: %s\", content_hash)\n key = f\"{prefix}lambda-{name}-{content_hash}.zip\"\n\n if _head_object(s3_conn, bucket, key):\n LOGGER.info(\"object already exists; not uploading: %s\", key)\n else:\n LOGGER.info(\"uploading object: %s\", key)\n s3_conn.put_object(\n Bucket=bucket,\n Key=key,\n Body=contents.encode() if isinstance(contents, str) else contents,\n ContentType=\"application/zip\",\n ACL=payload_acl,\n )\n\n return Code(S3Bucket=bucket, S3Key=key)","def upload_file_to_s3(file, user_id, type_data, name):\n b = boto_init_s3(\"yapster\")\n path_bucket = \"\"\n if b:\n if type_data == \"cover\":\n path_bucket = \"yapsterusers/uid/\" + user_id + \"/cover/cover\"\n\n if type_data == \"profile\":\n path_bucket = \"yapsterusers/uid/\" + user_id + \"/profile/profile\"\n\n if type_data == \"yap_audio\":\n path_bucket = \"yapsterusers/uid/\" + user_id + \"/yaps/1/audio/\" + name\n\n if type_data == \"yap_image\":\n path_bucket = \"yapsterusers/uid/\" + user_id + \"/yaps/1/image/\" + name\n\n if type_data == \"original\":\n path_bucket = \"yapsterusers/uid/\" + user_id + \"/yaps/1/audio/original\"\n\n k = b.get_key(path_bucket)\n if not k:\n try:\n k = b.new_key(path_bucket)\n except:\n return \"error occured\"\n k.set_contents_from_file(file)\n\n return path_bucket","def event(event, context):\n# Sample event:\n #\n # _event = { \"Records\":[\n # {\n # \"eventVersion\":\"2.1\",\n # \"eventSource\":\"aws:s3\",\n # \"awsRegion\":\"us-east-1\",\n # \"eventTime\":\"2021-10-14T07:40:55.113Z\",\n # \"eventName\":\"ObjectCreated:Put\",\n # \"userIdentity\":{\n # \"principalId\":\"AWS:AROA6L2YJX2JCJYHEJ4UI:serverless-image-processing-test-create\"\n # },\n # \"requestParameters\":{\n # \"sourceIPAddress\":\"94.140.8.209\"\n # },\n # \"responseElements\":{\n # \"x-amz-request-id\":\"7CJHSGZ9MZF9995F\",\n # \"x-amz-id-2\":\"X5OtpRb+P9CuYKDHvjT8z9prnqqsH1yatZchN2uw8/158mcRUVhQNSW/z5ffXLqkLhu+4Kc163vZiRgVk3XaGd8H1NhZCu8N\"\n # },\n # \"s3\":{\n # \"s3SchemaVersion\":\"1.0\",\n # \"configurationId\":\"9b8f4135-35d4-4e07-b8a5-7d68cc95870b\",\n # \"bucket\":{\n # \"name\":\"serverless-image-processing-test-serverless-image-processing\",\n # \"ownerIdentity\":{\n # \"principalId\":\"A5IHQSLNTJKZN\"\n # },\n # \"arn\":\"arn:aws:s3:::serverless-image-processing-test-serverless-image-processing\"\n # },\n # \"object\":{\n # \"key\":\"test/6e7ef3f0-dcb6-4db6-9518-3bc6ec0ba492\",\n # \"size\":116716,\n # \"eTag\":\"f04e70e100f653a0e67f32f6098dea1c\",\n # \"sequencer\":\"006167DF06C888A626\"\n # }\n # }\n # }\n # ]\n # }\n\n logger.debug('event: {}'.format(event))\n for record in event['Records']:\n processRecord(record)\n\n return {'statusCode': httplib.ACCEPTED}","def lambda_handler(event, context):\n print(\"Incoming event: {}\".format(event))\n for object in event.get(\"Records\"):\n key = unquote_plus(object[\"s3\"][\"object\"][\"key\"])\n bucket_name = unquote_plus(object[\"s3\"][\"object\"][\"bucket_name\"])\n print(\"Pymage: Resizing {} in bucket: {}\".format(key, bucket_name))\n get_file_and_resize(bucket_name=bucket_name, file_name=key)","def inner(fn_inner):\n\n def handler(event, context):\n \"\"\"\n The AWS Lambda Entry Point\n \"\"\"\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');\n\n return handler","def upload_lambda_functions(context: CfnginContext, provider: Provider, **kwargs: Any):\n LOGGER.warning(\n \"%s is deprecated and will be removed in a future release - \"\n \"see documentation for replacement\",\n __name__,\n )\n # TODO add better handling for misconfiguration (e.g. forgetting function names)\n # TODO support defining dockerize_pip options at the top level of args\n custom_bucket = cast(str, kwargs.get(\"bucket\", \"\"))\n if not custom_bucket:\n if not context.bucket_name:\n raise ValueError(\"hook requires bucket argument or top-level cfngin_hook\")\n bucket_name = context.bucket_name\n LOGGER.info(\"using default bucket from CFNgin: %s\", bucket_name)\n else:\n bucket_name = custom_bucket\n LOGGER.info(\"using custom bucket: %s\", bucket_name)\n\n custom_bucket_region = cast(str, kwargs.get(\"bucket_region\", \"\"))\n if not custom_bucket and custom_bucket_region:\n raise ValueError(\"Cannot specify `bucket_region` without specifying `bucket`.\")\n\n bucket_region = select_bucket_region(\n custom_bucket,\n custom_bucket_region,\n context.config.cfngin_bucket_region,\n provider.region or \"us-east-1\",\n )\n\n # Check if we should walk / follow symlinks\n follow_symlinks = kwargs.get(\"follow_symlinks\", False)\n if not isinstance(follow_symlinks, bool):\n raise ValueError(\"follow_symlinks option must be a boolean\")\n\n # Check for S3 object acl. Valid values from:\n # https://docs.aws.amazon.com/AmazonS3/latest/dev/acl-overview.html#canned-acl\n payload_acl = cast(\"ObjectCannedACLType\", kwargs.get(\"payload_acl\", \"private\"))\n\n # Always use the global client for s3\n session = context.get_session(region=bucket_region)\n s3_client = session.client(\"s3\")\n\n ensure_s3_bucket(s3_client, bucket_name, bucket_region)\n\n prefix = kwargs.get(\"prefix\", \"\")\n\n results: Dict[str, Any] = {}\n for name, options in kwargs[\"functions\"].items():\n sys_path = (\n os.path.dirname(context.config_path)\n if os.path.isfile(context.config_path)\n else context.config_path\n )\n results[name] = _upload_function(\n s3_client,\n bucket_name,\n prefix,\n name,\n options,\n follow_symlinks,\n payload_acl,\n str(sys_path),\n work_dir=context.work_dir,\n )\n\n return results","def push_file_to_s3(logger, app_config, s3_object_info, start_timing):\n import boto3\n s3_resource = boto3.resource('s3')\n logging.getLogger('boto3').addHandler(logger)\n s3_object = get_config_item(app_config, 's3_info.object_base') + \\\n '/' + s3_object_info['camera_name'] + '/' + \\\n s3_object_info['date_string'] + '/' + \\\n s3_object_info['hour_string'] + '/' + \\\n s3_object_info['img_type'] + '/' + \\\n s3_object_info['just_file']\n\n utc_ts = int(time.time() * 1000)\n\n object_metadata = {'camera': s3_object_info['camera_name'],\n 'camera_timestamp': str(utc_ts)}\n s3_resource.Object(get_config_item(app_config, 's3_info.bucket_name'),\n s3_object).put(Body=open(s3_object_info['file_name'], 'rb'),\n Metadata=object_metadata)\n totaltime = time.time() - start_timing\n logger.info(\"S3 Object: {} written to s3 in {} seconds.\".format(s3_object, totaltime))\n return utc_ts","def handle_image(data, user_id):\n\n import boto3\n\n s3_client = boto3.client('s3')\n bucket_name = 'grouplite-bucket'\n key = str(user_id)+'-'+str(datetime.now())\n\n s3_client.put_object(Bucket=bucket_name, Body=data, Key=key)\n return key","def _build_payload(data):\n\n for k, v in data.items():\n data[k] = _transform(v, key=(k,))\n\n payload = {\n 'access_token': SETTINGS['access_token'],\n 'data': data\n }\n\n return payload","def lambda_handler(event, context):\n\n current_module = \"Aggregation_Combiner\"\n error_message = \"\"\n bpm_queue_url = None\n current_step_num = 5\n\n # Define run_id outside of try block\n run_id = 0\n try:\n # Retrieve run_id before input validation\n # Because it is used in exception handling\n run_id = event[\"RuntimeVariables\"][\"run_id\"]\n\n environment_variables = EnvironmentSchema().load(os.environ)\n\n runtime_variables = RuntimeSchema().load(event[\"RuntimeVariables\"])\n\n # Environment Variables\n bucket_name = environment_variables[\"bucket_name\"]\n run_environment = environment_variables[\"run_environment\"]\n\n # Runtime Variables\n additional_aggregated_column = runtime_variables[\"additional_aggregated_column\"]\n aggregated_column = runtime_variables[\"aggregated_column\"]\n aggregation_files = runtime_variables[\"aggregation_files\"]\n bpm_queue_url = runtime_variables[\"bpm_queue_url\"]\n environment = runtime_variables[\"environment\"]\n in_file_name = runtime_variables[\"in_file_name\"]\n out_file_name = runtime_variables[\"out_file_name\"]\n sns_topic_arn = runtime_variables[\"sns_topic_arn\"]\n survey = runtime_variables[\"survey\"]\n total_steps = runtime_variables[\"total_steps\"]\n\n except Exception as e:\n error_message = general_functions.handle_exception(e, current_module, run_id,\n context=context)\n raise exception_classes.LambdaFailure(error_message)\n try:\n logger = general_functions.get_logger(survey, current_module, environment,\n run_id)\n except Exception as e:\n error_message = general_functions.handle_exception(e, current_module,\n run_id, context=context)\n raise exception_classes.LambdaFailure(error_message)\n\n try:\n logger.info(\"Started - Retrieved configuration variables.\")\n # Get file from s3\n imp_df = aws_functions.read_dataframe_from_s3(bucket_name, in_file_name)\n\n logger.info(\"Retrieved data from s3\")\n\n # Receive the 3 aggregation outputs.\n ent_ref_agg = aggregation_files[\"ent_ref_agg\"]\n cell_agg = aggregation_files[\"cell_agg\"]\n top2_agg = aggregation_files[\"top2_agg\"]\n\n # Load file content.\n ent_ref_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, ent_ref_agg)\n cell_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, cell_agg)\n top2_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, top2_agg)\n logger.info(\"Successfully retrievied aggragation data from s3\")\n\n to_aggregate = [aggregated_column]\n if additional_aggregated_column != \"\":\n to_aggregate.append(additional_aggregated_column)\n\n # merge the imputation output from s3 with the 3 aggregation outputs\n first_merge = pd.merge(\n imp_df, ent_ref_agg_df, on=to_aggregate, how=\"left\")\n\n second_merge = pd.merge(\n first_merge, cell_agg_df, on=to_aggregate, how=\"left\")\n\n third_merge = pd.merge(\n second_merge, top2_agg_df, on=to_aggregate, how=\"left\")\n\n logger.info(\"Successfully merged dataframes\")\n\n # convert output to json ready to return\n final_output = third_merge.to_json(orient=\"records\")\n\n # send output onwards\n aws_functions.save_to_s3(bucket_name, out_file_name, final_output)\n logger.info(\"Successfully sent data to s3.\")\n\n if run_environment != \"development\":\n logger.info(aws_functions.delete_data(bucket_name, ent_ref_agg))\n logger.info(aws_functions.delete_data(bucket_name, cell_agg))\n logger.info(aws_functions.delete_data(bucket_name, top2_agg))\n logger.info(\"Successfully deleted input data.\")\n\n aws_functions.send_sns_message(sns_topic_arn, \"Aggregation - Combiner.\")\n logger.info(\"Successfully sent data to sns.\")\n\n except Exception as e:\n error_message = general_functions.handle_exception(e,\n current_module,\n run_id,\n context=context,\n bpm_queue_url=bpm_queue_url)\n\n finally:\n if (len(error_message)) > 0:\n logger.error(error_message)\n raise exception_classes.LambdaFailure(error_message)\n\n logger.info(\"Successfully completed module.\")\n\n # Send end of module status to BPM.\n status = \"DONE\"\n aws_functions.send_bpm_status(bpm_queue_url, current_module, status, run_id,\n current_step_num, total_steps)\n\n return {\"success\": True}","def task_deploy():\n client = boto3.client(\"lambda\")\n\n def upload_build():\n if function_exists(client):\n update_lambda_function(client)\n else:\n create_lambda_function(client)\n\n return {\"actions\": [upload_build], \"file_dep\": [f\"{DIST_DIR}/build.zip\"]}","def publish():\n reset()\n compress()\n build()\n s3deploy()\n log_success()","def lambda_handler(event, context):\n\n # S3 resource invocation\n s3_resource = boto3.resource('s3')\n # S3 bucket selection\n data_bucket_name = \"put_here_data_bucket_name\"\n # The SageMaker runtime is what allows us to invoke the endpoint that we've created.\n runtime = boto3.Session().client('sagemaker-runtime')\n\n request_body_dict = json.loads(event['body'])\n\n # Now we use the SageMaker runtime to invoke our endpoint, sending both ticker and start date if given\n if request_body_dict['start_date'] != \"\":\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\n ContentType='application/json', # The data format that is expected\n Body=encode_future_request(request_body=request_body_dict,\n s3_resource=s3_resource,\n s3_bucket=data_bucket_name, prefix='valid'))\n # or only ticker name if no start date has been provided\n elif request_body_dict['ticker_name'] != \"\":\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\n ContentType='application/json', # The data format that is expected\n Body=encode_request(ticker_name=request_body_dict['ticker_name'],\n s3_resource=s3_resource, s3_bucket=data_bucket_name,\n prefix='train'))\n\n # The response is an HTTP response whose body contains the result of our inference\n result = response['Body'].read().decode('utf-8')\n\n # print data for debug purposes\n print(result)\n\n return {\n 'statusCode': 200,\n 'headers': {'Content-Type': 'application/json', 'Access-Control-Allow-Origin': '*'},\n 'body': str(result)\n }","def _upload_s3(self, filename, bucket, objectKey):\n return s3_client.upload_file(filename, bucket, objectKey)","def pushToS3()-> None:\n logging.info(f\"Connecting to s3 {getTime()}\")\n s3 = boto3.client(\"s3\",endpoint_url=\"http://localhost:4566\")\n if(not s3.head_bucket(Bucket=\"demo\")):\n s3.create_bucket(Bucket='demo')\n try:\n logging.info(f\"Uploading to s3 {getTime()}\")\n s3.upload_file(\"result.csv\",\"demo\",\"result.csv\")\n logging.info(f\"Finished uploding to s3 {getTime()}\")\n except ClientError as e:\n logging.error(f\"Error uploading file to S3 {getTime()}\")","def upload_master_config_to_s3(self, master_attributes, master_user_data):\n # Upload the attributes file.\n self._bucket.put_object(key=self._s3_master_attributes_path, data=json.dumps(master_attributes))\n # Upload the user-data file.\n self._bucket.put_object(key=self._s3_master_user_data_path, data=master_user_data)","def deployLambdaFunctionFromS3(name:str, iamRoleARN:str, handler:str, bucket:str, object:str, version:str=None, runtime='python3.7') -> str:\n client = boto3.client('lambda')\n try:\n code = {\n 'S3Bucket': bucket,\n 'S3Key': object,\n }\n if version:\n code['S3ObjectVersion'] = version\n response = client.create_function(\n Role = iamRoleARN,\n FunctionName = name,\n Runtime = runtime,\n Handler = handler,\n Code = code\n )\n except ClientError as e:\n raise LambdaDeploymentException(e)\n if not 'FunctionArn' in response:\n raise LambdaDeploymentException('\\\"FunctionArn\\\" is not contained in the response. ', repr(response))\n return response['FunctionArn']","def test4():\n event = {\n \"Records\": [\n {\n \"s3\": {\n \"s3SchemaVersion\": \"1.0\",\n \"configurationId\": \"b0efd5b1-cc92-47b4-8501-1c34f5eba235\",\n \"bucket\": {\n \"name\": \"/tmp/\"\n },\n \"object\": {\n \"key\": \"tic000147203645/tic000147203645_s0001-1-1_stlc.fits\"\n }\n }\n }\n ]\n}\n context = {}\n \n out = lambda_handler(event, context)\n \n assert out[\"statusCode\"] == 200","def create_function(self):\n logger.info(\"Preparing stuf to create function\")\n self.create_package('devel')\n\n self.upload_package()\n\n function_definition = self.get_function_configuration()\n\n # Set the first release Code block\n function_definition['Code'] = {\n 'S3Bucket': self.function_config['Code']['S3Bucket'],\n 'S3Key': self.s3_filename,\n }\n\n function_definition['Publish'] = True\n\n logger.info(\"Creating function\")\n return self.aws_lambda.create_function(**function_definition)","def lambda_handler(event, context):\n # get the image data\n if 'queryStringParameters' in event:\n image = event['queryStringParameters']['base64image']\n k = event['queryStringParameters']['k'] # number of similar images\n\n else:\n image = event['base64image']\n k = event['k'] # number of similar images\n \n # connect to elastic search\n es = connect_to_ES(ES_ENDPOINT)\n\n # get the image features from the sagemaker endpoint\n features = extract_features(image)\n uris = search_es(es, features, k)\n presigned_uris = create_presigned_url(uris, expiration=3600*24*2)\n\n return {\n 'statusCode': 200,\n 'headers':{'Content-Type':'application/json'},\n 'body': json.dumps({'images': presigned_uris})\n }","def lambda_handler(event, context):\n qpmBucket = event['queryStringParameters']['bucket']\n fn_bucket = list_s3_objects(qpmBucket)\n print(fn_bucket)\n \n \n return {\n \"statusCode\": 200,\n \"body\": json.dumps(str(fn_bucket)),\n }","def test3():\n event = {\n \"Records\": [\n {\n \"s3\": {\n \"s3SchemaVersion\": \"1.0\",\n \"configurationId\": \"b0efd5b1-cc92-47b4-8501-1c34f5eba235\",\n \"bucket\": {\n \"name\": \"/tmp/\"\n },\n \"object\": {\n \"key\": \"tic000129646247_s0001-1-1_stlc.fits\"\n }\n }\n }\n ]\n}\n context = {}\n \n out = lambda_handler(event, context)\n \n assert out[\"statusCode\"] == 200","def fetch_config_from_s3(client):\n try:\n response = client.assume_role(\n RoleArn=\"arn:aws:iam::548760365095:role/Ec2StartStopLambdaActionRole\",\n RoleSessionName=\"Ec2-Start-Stop-Lambda-Session-Role\"\n )\n fetcher = boto3.client(\n 's3',\n aws_access_key_id=response['Credentials']['AccessKeyId'],\n aws_secret_access_key=response['Credentials']['SecretAccessKey'],\n aws_session_token=response['Credentials']['SessionToken']\n )\n return json_to_dict(fetcher)\n except Exception as error:\n logger.info(\"Creating a temporary S3 privileged user failed with the following error : {}\".format(error))","def upload_to_s3():\n\n # get the json password file\n pwd_file = open(PWD_FILE, mode='rb')\n pwd_list = json.load(pwd_file) # calls read() on file object\n\n # only upload if json password file not empty\n if len(pwd_list) > 0:\n # reset file object to beginning\n pwd_file.seek(0)\n\n # setup s3 connection\n s3 = boto3.resource('s3', region_name=Config.connection['region_name'],\n aws_access_key_id=Config.connection['aws_access_key'],\n aws_secret_access_key=Config.connection['aws_secret_key'])\n\n s3_object_path = Config.s3['key_prefix'] + PWD_FILE\n s3.Bucket(Config.s3['bucket_name']).put_object(Key=s3_object_path, Body=pwd_file)","def store_to_s3():\n\n try:\n # establish aws/s3 connection\n s3 = boto3.client('s3',\n aws_access_key_id=ACCESS_KEY,\n aws_secret_access_key=SECRET_KEY\n )\n logger.info(\"S3 connection established!\")\n except Exception as e:\n logger.error('Fail to connect to aws s3. Please check your credentials!')\n logger.error(e)\n else:\n try:\n # upload local file to S3 bucket\n logger.info(\"Uploading {} to {} bucket as {}\".format(config.Local_File_To_Upload,\n config.Bucket_Name,\n config.S3_Filename))\n s3.upload_file(config.Local_File_To_Upload,\n config.Bucket_Name,\n config.S3_Filename)\n logger.info('File successfully uploaded to S3 bucket!')\n except FileNotFoundError:\n logger.error('File not found, pleas check the file path.')\n except Exception as e:\n logger.error(e)","def lambda_handler(event, context):\n try:\n if not _is_setup:\n _setup()\n\n previous_attempts = event.get(\"Artifact\", dict(ReadAttempts=0))[\"ReadAttempts\"]\n\n manifest = _load_manifest(event[\"ResourceKey\"])\n artifact_location = dict(S3Bucket=_bucket_name, S3Key=manifest[\"ArtifactS3Key\"])\n artifact_exists = _artifact_exists(manifest[\"ArtifactS3Key\"])\n\n return dict(\n Found=artifact_exists,\n ReadAttempts=previous_attempts + 1,\n Location=artifact_location,\n ProjectName=manifest[\"ProjectName\"],\n Runtimes=manifest[\"Runtimes\"],\n )\n except Exception:\n # TODO: Turn these into known-cause state machine failures.\n raise","def lambda_handler(event, context):\n logger.info(\"Setting up user...\")\n if not user_exists():\n setup_lambda_user()\n else:\n logger.info(\"The user exists aldeay, skipping step...\")\n\n logger.info(\"Import to database\")\n for statement in body.decode(\"utf-8\").split(';'):\n if len(statement.strip()) < 1:\n continue\n result = run_query(statement.strip())\n logger.info(result)\n\n return True","def lambda_handler(*_):\n Log.info(\"Checking bucket %s\", S3_BUCKET)\n Log.info(\"Output Key: %s\", S3_OUTPUT_KEY)\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\n filtered = s3index.filter_objects(objects)\n by_date = s3index.order_objects(filtered)\n template = s3index.template_from_string(TEMPLATE)\n index = s3index.build_index(\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\n s3_client = boto3.client(\"s3\")\n s3_client.put_object(\n ACL=\"public-read\",\n Body=index.encode(),\n Bucket=S3_BUCKET,\n Key=S3_OUTPUT_KEY,\n ContentType=\"text/html\"\n )","def lambda_handler(event, context):\n\n if not event[\"body\"]:\n return create_output(400, \"Invalid body: body is empty.\")\n\n try:\n item = json.loads(event[\"body\"])\n except json.JSONDecodeError:\n return create_output(400, \"Invalid body: can't decode body.\")\n\n for key in iris_keys:\n if key not in item:\n return create_output(400, f\"Invalid body: missing key {key} in body.\")\n try:\n float(item[key])\n except ValueError:\n return create_output(400, f\"Invalid body: can't parse {key} to float.\")\n\n item[\"id\"] = create_hash(item)\n\n try:\n table.put_item(Item=item)\n except Exception as e:\n logger.error(f\"Error, can't insert item: {e}\")\n return create_output(500, \"Internal error: can't insert item in table.\")\n\n return create_output(200, \"Item created.\")","def _make_user_data(registry, tag, region):\n\n base_format = \"\"\"MIME-Version: 1.0\nContent-Type: multipart/mixed; boundary=\\\"==MYBOUNDARY==\\\"\n\n--==MYBOUNDARY==\nContent-Type: text/cloud-config; charset=\\\"us-ascii\\\"\n\nruncmd:\n\n- sudo yum update -y\n- sudo amazon-linux-extras install docker -y\n- sudo service docker start\n- sudo usermod -a -G docker ec2-user\n- curl \"https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip\" -o \"awscliv2.zip\"\n- unzip awscliv2.zip\n- sudo ./aws/install\n- ln -s /usr/bin/aws aws\n- aws ecr get-login-password --region {region}|docker login --username AWS --password-stdin {registry}\n- docker pull {tag}\n- docker run -p {bentoservice_port}:{bentoservice_port} {tag}\n\n--==MYBOUNDARY==--\n\"\"\".format( # noqa: E501\n registry=registry, tag=tag, region=region, bentoservice_port=BENTOSERVICE_PORT\n )\n encoded = base64.b64encode(base_format.encode(\"ascii\")).decode(\"ascii\")\n return encoded","def __init__(self, scope: core.Construct, id: str,\n ec2_tag_key: str,\n ssm_document_name: str,\n playbook_url: str,\n playbook_file_name: str = None,\n ec2_tag_value: str = None,\n notification_key_filter_prefix: str = None,\n notification_key_filter_suffix: str = None,\n log_level: str = 'INFO',\n **kwargs) -> None:\n super().__init__(scope, id, **kwargs)\n\n def get_s3_bucket_name(self):\n self.playbook_url = playbook_url\n if playbook_url is not None:\n splited_playbook_url = playbook_url.split(\"/\")\n s3_bucket_name = splited_playbook_url[2]\n else:\n s3_bucket_name = None\n return s3_bucket_name\n\n s3 = _s3.Bucket(\n self, \"S3SsmRunCommandBucket\",\n bucket_name=get_s3_bucket_name(self),\n removal_policy=core.RemovalPolicy.RETAIN,\n )\n\n if playbook_url is None:\n playbook_url = f's3://{s3.bucket_name}/{playbook_file_name}'\n\n lambda_ssm = _lambda.Function(\n self, \"S3TriggerHandler\",\n runtime=_lambda.Runtime.PYTHON_3_7,\n code=_lambda.Code.asset('lambda_ssm'),\n handler=\"ansible_run_command.handler\",\n environment={\n \"LOGLEVEL\": f'{log_level}',\n \"EC2_TAG_KEY\": f'{ec2_tag_key}',\n \"EC2_TAG_VALUE\": f'{ec2_tag_value}',\n \"PLAYBOOK_URL\": f'{playbook_url}',\n \"SSM_DOCUMENT_NAME\": f'{ssm_document_name}'\n }\n )\n\n lambda_ssm.add_to_role_policy(\n statement=_iam.PolicyStatement(\n effect=_iam.Effect.ALLOW,\n actions=[\n \"ssm:DescribeAssociation\",\n \"ssm:GetDeployablePatchSnapshotForInstance\",\n \"ssm:GetDocument\",\n \"ssm:DescribeDocument\",\n \"ssm:GetManifest\",\n \"ssm:GetParameter\",\n \"ssm:GetParameters\",\n \"ssm:ListAssociations\",\n \"ssm:ListInstanceAssociations\",\n \"ssm:PutInventory\",\n \"ssm:PutComplianceItems\",\n \"ssm:PutConfigurePackageResult\",\n \"ssm:SendCommand\",\n \"ssm:UpdateAssociationStatus\",\n \"ssm:UpdateInstanceAssociationStatus\",\n \"ssm:UpdateInstanceInformation\",\n \"ssmmessages:CreateControlChannel\",\n \"ssmmessages:CreateDataChannel\",\n \"ssmmessages:OpenControlChannel\",\n \"ssmmessages:OpenDataChannel\",\n \"ec2:DescribeInstances\",\n \"ec2messages:AcknowledgeMessage\",\n \"ec2messages:DeleteMessage\",\n \"ec2messages:FailMessage\",\n \"ec2messages:GetEndpoint\",\n \"ec2messages:GetMessages\",\n \"ec2messages:SendReply\",\n ],\n resources=[\"*\"],\n )\n )\n\n s3.grant_read(lambda_ssm)\n\n notification = _s3_notifications.LambdaDestination(lambda_ssm)\n\n if notification_key_filter_prefix or notification_key_filter_suffix is not None:\n if notification_key_filter_prefix is None:\n filers = _s3.NotificationKeyFilter(\n suffix=notification_key_filter_suffix,\n )\n elif notification_key_filter_suffix is None:\n filers = _s3.NotificationKeyFilter(\n prefix=notification_key_filter_prefix,\n )\n else:\n filers = _s3.NotificationKeyFilter(\n prefix=notification_key_filter_prefix,\n suffix=notification_key_filter_suffix,\n )\n\n s3.add_event_notification(_s3.EventType.OBJECT_CREATED,\n notification,\n filers,\n )\n else:\n s3.add_event_notification(_s3.EventType.OBJECT_CREATED,\n notification,\n )\n\n cloudwatch_event = _events.Rule(\n self, \"CloudWatchEvent\",\n enabled=True,\n event_pattern=_events.EventPattern(\n source=[\"aws.ec2\"],\n detail_type=[\"EC2 Instance State-change Notification\"],\n detail={\n \"state\": [\"running\"]\n }\n ),\n targets=[_events_targets.LambdaFunction(lambda_ssm)]\n )\n\n s3_bucket_path = core.CfnOutput(\n self, \"S3PlaybookPath\",\n value=f's3://{s3.bucket_name}'\n )\n\n s3_bucket_console_url = core.CfnOutput(\n self, \"S3ConsoleUrl\",\n value=f's3.console.aws.amazon.com/s3/buckets/{s3.bucket_name}'\n )","def upload_data_to_s3(data: dict, bucket_name: str, object_key: str) -> None:\n uploader = S3Uploader(bucket_name)\n with tempfile.NamedTemporaryFile(mode=\"w+\") as local_file:\n json.dump(data, local_file, cls=FancyJsonEncoder, indent=\" \", sort_keys=True)\n local_file.write(\"\\n\")\n local_file.flush()\n uploader(local_file.name, object_key)","def lambda_handler(event, context):\n # EOL char append function\n encode_data = lambda x: \"{data}{eol}\".format(data=json.dumps(x), eol=chr(10)).encode(\"UTF-8\")\n \n # Punk API call\n try:\n logger.debug(\"Requesting api: {api}\".format(api=os.environ[\"API_URL\"]))\n request = r.get(os.environ[\"API_URL\"])\n except Exception as e:\n logger.error(\"An error occured while requesting api: {api}\".format(api=os.environ[\"API_URL\"]))\n raise e\n \n # Send records to kinesis stream\n logger.debug(\"Sending data to stream: {stream}\".format(stream=os.environ[\"STREAM_NAME\"]))\n for data in request.json():\n client.put_record(\n StreamName=os.environ[\"STREAM_NAME\"],\n Data=encode_data(data),\n PartitionKey=\"key\"\n )\n\n return {\n 'statusCode': request.status_code,\n 'body': data\n }","def save_config(config):\n\n LOGGER.info(f\"Writing config to bucket {BUCKET} with key {CONFIG_S3_KEY}.\") \n save_json(BUCKET, CONFIG_S3_KEY, config)","def invoke_lambda(bucket, body_id):\n payload = {\"body_id\": body_id}\n if \"prod\" not in bucket:\n payload[\"bucket\"] = bucket\n response = LAMBDA_CLIENT.invoke(FunctionName=\"create_ppp_body_thumbnails\",\n InvocationType=\"Event\",\n Payload=json.dumps(payload))\n if ARG.DEBUG:\n pprint.pprint(response, indent=4)\n COUNT[\"Submitted\" if response[\"StatusCode\"] == 202 else \"Submit error\"] += 1\n if \"Payload\" in response:\n LOGGER.debug(response['Payload'].read().decode(\"utf-8\"))","def upload_package(self, filename=None):\n logger.info(\"Uploading the package to S3\")\n s3f = S3FunctionUploader(self.function_config['Code']['S3Bucket'])\n self.s3_filename = path.join(\n self.function_config['Code']['S3KeyPath'],\n path.basename(filename or self.local_filename)\n )\n s3f.upload(filename or self.local_filename,\n self.s3_filename)","async def get_or_create_temporary_s3_access(user_id: UserID):","def lambda_handler(event, context):\n # Boto is always available in AWS lambda, but may not be available in standalone mode\n# import boto3\n# from base64 import b64decode\n\n # To generate the encrypted values, go to AWS IAM Keys and Generate a key\n # Then grant decryption using the key to the IAM Role used for your lambda function.\n #\n # Use the command `aws kms encrypt --key-id alias/<key-alias> --plaintext <value-to-encrypt>\n # Put the encrypted value in the configuration dictionary below\n# encrypted_config = {\n# 'pagerduty_api_key': '<ENCRYPTED VALUE>',\n# 'schedule_ids': '<ENCRYPTED VALUE>'\n# }\n\n# kms = boto3.client('kms')\n# config = {x: kms.decrypt(CiphertextBlob=b64decode(y))['Plaintext'] for x, y in encrypted_config.iteritems()}\n on_call = OnCall(API_KEY, SCHEDULE_IDS)\n output = on_call.run()\n\n return { \"response_type\": \"in_channel\", \"text\": '\\n'.join(output) }","def s3(ctx, bucket_name, data_file, region):\n ctx.obj['BUCKET_NAME'] = bucket_name\n ctx.obj['DATA_FILE'] = data_file\n ctx.obj['TYPE'] = 's3'\n ctx.obj['REGION'] = region","def lambda_handler(event, context):\r\n print(\"Function triggered\")\r\n if 'local' == environ.get('APP_STAGE'):\r\n dynamodb = boto3.resource('dynamodb', endpoint_url='http://localhost:8000')\r\n table = dynamodb.Table(\"audiobooksDB\")\r\n else:\r\n dynamodb = boto3.resource('dynamodb')\r\n table = dynamodb.Table(environ[\"TABLE_NAME\"])\r\n s3 = boto3.client('s3')\r\n \r\n s3FileName = event['Records'][0]['s3']['object']['key'].replace(\"+\", \" \")\r\n bucketName = event['Records'][0]['s3']['bucket']['name']\r\n # Download file from the S3 bucket\r\n try:\r\n book = s3.get_object(Bucket=bucketName, Key=s3FileName)\r\n print(\"Loading file from S3 bucket\")\r\n bookContent = book[\"Body\"].read().decode(\"utf-8\", errors=\"ignore\").split(\"------ END METADATA --------\")\r\n metadata = json.loads(bookContent[0])\r\n bookContent = bookContent[1]\r\n # Polly accepts 100,000 chars at a time. We make chunks of 99990 because we put the part 1 maker in\r\n bookContent = [bookContent[i:i+99990] for i in range(0, len(bookContent), 99990)]\r\n except Exception as e:\r\n print(\"Error while downloading file \" + s3FileName + \"from the S3 bucket \" + bucketName)\r\n raise\r\n # Add part marker to book\r\n if len(bookContent) > 1:\r\n count = 0\r\n for chunk in bookContent:\r\n chunk += \"Part \" + str(count)\r\n hasShortPart = False\r\n audioURLs = []\r\n pollyClient = boto3.client('polly')\r\n for chunk in bookContent:\r\n try:\r\n chunk = convert_text_to_ssml(chunk)\r\n print(\"Asking Polly to record the current chunk\")\r\n response = pollyClient.start_speech_synthesis_task(\r\n Engine='standard',\r\n LanguageCode='en-GB',\r\n OutputFormat='mp3',\r\n OutputS3BucketName=environ['AUDIO_S3_BUCKET'],\r\n Text=chunk,\r\n TextType='ssml',\r\n VoiceId='Brian',\r\n SnsTopicArn=environ[\"SNS_TOPIC\"],\r\n )\r\n\r\n audioURLs.append(response[\"SynthesisTask\"][\"OutputUri\"].split(\"amazonaws.com/\")[-1])\r\n if len(chunk) <= 2000:\r\n hasShortPart = True\r\n print(response)\r\n print(\"Polly was successfully asked to to record the current chunk\")\r\n except Exception as e:\r\n print(\"Error parsing chunk or requesting Polly to say it\")\r\n raise\r\n try:\r\n randomString = ''.join([random.choice(string.ascii_letters \r\n + string.digits) for n in range(32)]) \r\n audiobook = {\r\n \"id\": randomString,\r\n \"bookName\": metadata[\"bookName\"],\r\n \"imageURL\": metadata[\"imageURL\"],\r\n \"authorName\":metadata[\"authorName\"],\r\n \"genres\": metadata[\"genres\"],\r\n \"audioURLs\": audioURLs,\r\n \"description\": metadata[\"description\"],\r\n \"hidden\": False,\r\n \"hasShortPart\": hasShortPart,\r\n \"addedAt\": Decimal(datetime.now().timestamp())\r\n }\r\n response = table.put_item(\r\n Item=audiobook\r\n )\r\n except Exception as e:\r\n print(\"Exception inserting into database\")\r\n print(audiobook)\r\n print(response)\r\n raise\r\n return {\r\n \"statusCode\": 200,\r\n \"body\": json.dumps({\r\n \"message\": audioURLs\r\n }),\r\n }","def lambda_handler(event: Dict[str, Any], context: Any) -> str:\n print(\"Received event: \" + json.dumps(event, indent=2))\n\n migrated_ami_id: str = event[\"migrated_ami_id\"]\n kms_id: str = event[\"kms_id\"]\n region: str = event.get(\"region\", os.environ.get(\"AWS_REGION\"))\n role: str = event.get(\"role\")\n instance_name: str = event.get(\"name\", \"\")\n\n sts_client = boto3.client(\"sts\")\n\n print(f\"Assuming role: {role}\")\n assumed_role: Dict[str, Any] = sts_client.assume_role(RoleArn=role, RoleSessionName=\"CopyImageLambda\")\n\n credentials = assumed_role.get(\"Credentials\")\n\n ec2_client = boto3.client(\n \"ec2\",\n region_name=region,\n aws_access_key_id=credentials[\"AccessKeyId\"],\n aws_secret_access_key=credentials[\"SecretAccessKey\"],\n aws_session_token=credentials[\"SessionToken\"],\n )\n\n try:\n new_image: Dict[str, Any] = ec2_client.copy_image(\n SourceImageId=migrated_ami_id,\n SourceRegion=region,\n Name=f\"copied-{migrated_ami_id}\",\n Encrypted=True,\n KmsKeyId=kms_id,\n )\n except Exception as e:\n print(e)\n return \"\"\n\n MigrationStateHandler().update_state(state=\"IMAGE_COPYING\", machine_name=instance_name)\n return new_image.get(\"ImageId\", \"\")","def lambda_handler(event, context):\n # Environmental Variables\n CATALOG_BRANCHES_TABLE = anejocommon.set_env_var('CATALOG_BRANCHES_TABLE')\n PRODUCT_INFO_TABLE = anejocommon.set_env_var('PRODUCT_INFO_TABLE')\n S3_BUCKET = anejocommon.set_env_var('S3_BUCKET')\n\n # Loop through event records\n try:\n event_records = event['Records']\n except KeyError:\n event_records = [{'body': event}]\n\n for record in event_records:\n try:\n catalog_sync_info = json.loads(record['body'])\n except TypeError:\n catalog_sync_info = record['body']\n\n # Event Variables\n catalog_url = catalog_sync_info['catalog_url']\n\n apple_bucket_catalog_path = anejocommon.get_path_from_url(\n catalog_url,\n 'html',\n append_to_path='.apple'\n )\n \n catalog = anejocommon.retrieve_url(catalog_url)\n try:\n catalog_plist = plistlib.readPlistFromBytes(catalog.data)\n except plistlib.InvalidFileException:\n print(\"ERROR: Cannot read catalog plist\")\n return\n\n # Write our local (filtered) catalogs\n anejocommon.write_local_catalogs(\n apple_bucket_catalog_path,\n catalog_plist,\n S3_BUCKET,\n CATALOG_BRANCHES_TABLE,\n PRODUCT_INFO_TABLE\n )","def save_file_aws(obj, file_path, aws_credentials):\n bucket_engine = S3Bucket(*aws_credentials)\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\n bucket_engine.write(file_path, data)","def lambda_handler(event, context):\n\n # return {\n # \"statusCode\": 200,\n # \"body\": json.dumps(\n # {\n # \"message\": \"hello world\",\n # }\n # ),\n # }\n src_bytes = base64.b64decode(event[\"body\"])\n src = cv2.imdecode(np.frombuffer(src_bytes, dtype=np.uint8), cv2.IMREAD_COLOR)\n gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)\n _, gray_bytes = cv2.imencode(\".jpg\", gray)\n\n return {\n \"statusCode\": 200,\n \"body\": json.dumps(base64.b64encode(gray_bytes).decode(\"UTF-8\")),\n }","def glue_process_handler(event, context) -> None:\n s3_bucket_name = \"\"\n incoming_file = \"\"\n inbound_folder = \"\"\n glue_job = boto3.client(\"glue\")\n\n logger.debug(\"## ENVIRONMENT VARIABLES: %s\", os.environ)\n logger.debug(\"## EVENT: %s\", event)\n\n try:\n logger.debug(\" Entering in to Try Block\")\n (s3_bucket_name, s3_file) = get_file_from_s3_trigger(event)\n if s3_bucket_name is None or s3_file is None:\n logger.error(\"Exiting. Could not retrieve a file name from event: %r\", event)\n return\n\n inbound_folder = os.path.dirname(s3_file)\n incoming_file = s3_file\n logger.info(\n \"From Try Block : s3_bucket_name = %s, incoming_file = %s\",\n s3_bucket_name,\n incoming_file,\n )\n except:\n # when your approach is to run lambda manually and not through s3 trigger event, this will be helpful.\n # Currently below hardcoded variables are not defined in function, but while unit testing you can do so if you wish and test.\n s3_bucket_name = os.environ[\"INBOUND_BUCKET_NAME\"]\n inbound_folder = os.environ[\"INBOUND_FOLDER\"]\n incoming_file = get_first_file_path(s3_bucket_name, inbound_folder)\n logger.error(\n \"From Exception Block : s3_bucket_name = %s, incoming_file = %s, inbound_folder = %s\",\n s3_bucket_name,\n incoming_file,\n inbound_folder,\n )\n\n if len(incoming_file) == 0 or None: # handle None output (incoming file= '') from event\n logger.error(\n \"In S3 Bucket : %s, there is a no file to process in the inbound folder : %s , program will EXIT now..\",\n s3_bucket_name,\n inbound_folder,\n )\n return\n\n result = make_arguments_from_database(incoming_file, s3_bucket_name)\n\n if result is not None:\n job_args = result[0]\n # earlier it was an environment variable in lambda but now retrived from database\n glue_job_name = result[1]\n logger.info(\"Calling Glue Job:: %s, with arguments %r\", glue_job_name, job_args)\n\n response = \"\"\n\n try:\n response = glue_job.start_job_run(JobName=glue_job_name, Arguments=job_args)\n except ParamValidationError:\n pass\n\n if \"JobRunId\" in response:\n jobId = response[\"JobRunId\"]\n logger.info(\"%s job run with id %s\", glue_job_name, response[\"JobRunId\"])\n _ = glue_job.get_job_run(JobName=glue_job_name, RunId=jobId)","def _s3_destination(self, pipeline_builder):\n s3_destination = pipeline_builder.add_stage('Amazon S3', type='destination')\n s3_destination.set_attributes(bucket=self.environments['aws'].s3_bucket_name,\n common_prefix='destination_data',\n partition_prefix=get_random_string(string.ascii_letters, 10),\n data_format=self.destination_format,\n header_line='WITH_HEADER',\n delimiter_format='CUSTOM',\n delimiter_character=DATASETS[self.dataset]['delimiter'])\n return s3_destination, pipeline_builder","def upload_fileobj(Fileobj=None, Bucket=None, Key=None, ExtraArgs=None, Callback=None, Config=None):\n pass","def lambda_handler(event, context):\n for item in json.loads(event[\"Records\"][0][\"body\"]):\n item[\"id\"] = uuid.uuid1().bytes\n for key, value in item.items():\n if key == \"id\":\n item[key] = {\"B\": bytes(value)}\n elif key == \"fiscal_year\":\n item[key] = {\"N\": str(value)}\n elif key == \"emissions_mtco2e\":\n item[key] = {\"N\": str(value)}\n elif key == \"consumption\":\n item[key] = {\"N\": str(value)}\n else:\n item[key] = {\"S\": str(value)}\n\n time.sleep(0.001)\n\n dynamo.put_item(TableName=\"Greenhouse_gas_emissions\", Item=dict(item))","def store_provider_data(self, region: str, data):\n return s3client.upload_file_from_variable(data, self.provider_name() + \"/\" + region + \"/\" +\n datetime.datetime.utcnow().isoformat() + \".json\")","def _work(self, payload):\n pdf_path = payload['pdf_path']\n jpeg_prefixes = payload['jpeg_prefixes']\n\n webhook_url = payload['webhook_url']\n webhook_data = payload['webhook_data']\n\n page_start = payload['page_start']\n page_end = payload['page_end']\n\n self._log('Connecting to s3')\n connection, bucket = self._connect_to_s3(payload['s3'])\n\n # create batches of pages to convert\n for batch_first_page in range(page_start, page_end + 1, self.PAGES_PER_BATCH):\n batch_last_page = min(batch_first_page + self.PAGES_PER_BATCH - 1, page_end)\n batch_pages = range(batch_first_page, batch_last_page + 1)\n\n batch_jpeg_prefixes = jpeg_prefixes[batch_first_page - page_start:\n batch_last_page + 1 - page_start]\n self._convert_batch(bucket, pdf_path, batch_pages, batch_jpeg_prefixes,\n webhook_url, webhook_data)","def test_generic(key,bucket):\n event = {\n \"Records\": [\n {\n \"s3\": {\n \"s3SchemaVersion\": \"1.0\",\n \"configurationId\": \"b0efd5b1-cc92-47b4-8501-1c34f5eba235\",\n \"bucket\": {\n \"name\": bucket\n },\n \"object\": {\n \"key\": key\n }\n }\n }\n ]\n}\n context = {}\n \n out = lambda_handler(event, context)\n print(out)\n assert out[\"statusCode\"] == 200","def handler(kinesis_records, context):\n data = kinesis_records[0].parse()\n detail = data.get('detail')\n return publish({\n \"eventSource\": data['source'],\n \"awsRegion\": data['region'],\n \"eventTime\": data['time'],\n \"eventName\": detail['eventName'],\n \"userIdentity\": {\n \"principalId\": detail['userIdentity']['principalId']\n },\n \"requestParameters\": {\n \"sourceIPAddress\": detail['sourceIPAddress']\n },\n \"s3\": {\n \"s3SchemaVersion\": \"1.0\",\n \"bucket\": {\n \"name\": detail['requestParameters']['bucketName'],\n \"arn\": detail['resources'][1]['ARN']\n },\n \"object\": {\n \"key\": detail['requestParameters']['key'],\n \"size\": detail['additionalEventData']['bytesTransferredIn']\n }\n }\n })","def upload_bucket_samples():\n if not Config.region:\n logger.error(\"You must specify a region in order to scan a bucket target\")\n raise SystemExit(\n \"Target region not specified. Use -r or --region to specify the target region.\"\n )\n # Connect to S3 in our target region\n s_3 = boto3.resource(\"s3\", region_name=Config.region)\n # Connect to our target bucket\n bucket = s_3.Bucket(Config.target_dir)\n # Retrieve a list of all objects in the bucket\n summaries = bucket.objects.all()\n # Inform the user as this may take a minute\n logger.info(\"Assembling volume from target bucket (%s) for submission\", Config.target_dir)\n # Loop through our list of files, downloading each to memory then upload them to the Sandbox\n for item in summaries:\n # Grab the file name from the path\n filename = os.path.basename(item.key)\n # Teensy bit of witch-doctor magic to download the file\n # straight into the payload used for our upload to the Sandbox\n response = Samples.upload_sample(file_name=filename,\n file_data=io.BytesIO(\n bucket.Object(key=item.key).get()[\"Body\"].read()\n )\n )\n # Retrieve our uploaded file SHA256 identifier\n sha = response[\"body\"][\"resources\"][0][\"sha256\"]\n # Add this SHA256 to the upload payload element\n Analyzer.uploaded.append(sha)\n # Track the upload so we recognize the file when we're done\n Analyzer.files.append([filename, item.key, sha])\n # Inform the user of our progress\n logger.debug(\"Uploaded %s to %s\", filename, sha)","def lambda_handler(event, context):\n LOGGER.debug(\n \"Processing event: %s\",\n json.dumps(event, indent=2)\n if LOGGER.isEnabledFor(logging.DEBUG)\n else \"--data-hidden--\",\n )\n sfn_client = boto3.client(\"stepfunctions\")\n s3_resource = boto3.resource(\"s3\")\n\n all_accounts = get_all_accounts()\n account_file = get_file_from_s3(get_details_from_event(event), s3_resource)\n\n processed_account_list = process_account_list(\n all_accounts=all_accounts,\n accounts_in_file=account_file.get(\"content\", {}).get(\"accounts\", []),\n )\n\n if processed_account_list:\n start_executions(\n sfn_client,\n processed_account_list,\n codepipeline_execution_id=account_file.get(\"execution_id\"),\n request_id=context.aws_request_id,\n )\n return event","def lambda_handler(event, context):\n try:\n day = datetime.datetime.now().weekday()\n\n fetcher = assume_role()\n config = fetch_config_from_s3(fetcher)\n print config\n\n if is_weekday(day, config['schedule']['halfDay']):\n client = assume_role()\n for role_arn in config['role_arns']:\n account_number = role_arn.split(\":\")[4]\n ec2_user = create_temp_user(client, role_arn)\n\n start_up_time, stop_time, now, tz = convert_to_datetime(config['times'])\n logger.info(\"Lambda started for account : {}\".format(config['account_names'][account_number]))\n start_stop(now, start_up_time, stop_time, ec2_user, config, tz)\n else:\n logger.info(\"I do not operate on weekends.\")\n except Exception as error:\n logger.info(\"Lambda failed to run with the following error : {}\".format(error))","def lambda_handler(event, context):\n\n LOGGER.debug(\"Lambda invoked\")\n log_environment_variables()\n\n\n # 1) Initialize\n # Setup required AWS infrastructure\n create_infrastructure()\n\n # If configuration exists, retrieve from S3 - otherwise create a new one\n config = get_config()\n LOGGER.info(f\"config loaded: {config}\")\n\n # If previously_valid_urls exists, retrieve from S3, otherwise create a blank one\n previously_valid_urls = get_previously_valid_urls()\n LOGGER.info(f\"previously_valid_urls loaded: {list(previously_valid_urls)}\")\n\n\n # 2) Retrieve URL data\n # Generate URLs\n end_value_inclusive = config[\"start_value\"] + config[\"look_ahead\"] + 1\n requests = [{\"url\": config[\"url\"] % value, \"value\": value} for value in\n range(config[\"start_value\"], end_value_inclusive)]\n LOGGER.info(f\"Requesting values in range {config['start_value']} -> {end_value_inclusive} (inclusive)\")\n LOGGER.info(f\"First URL to request: {requests[0]['url'] if requests else 'None'}\")\n LOGGER.info(f\"Last URL to request: {requests[-1]['url'] if requests else 'None'}\")\n\n # Get all responses\n responses = get_responses(requests)\n\n # Create a list of requests that responded with status code 200\n valid_urls = [{\"url\": response[\"url\"], \"value\": response[\"value\"]} for response in responses\n if response[\"response\"].status == 200]\n\n\n # 3) Process URL data\n # Check valid_urls against previously_valid_urls and add to new_valid_urls\n new_valid_urls = []\n for valid_url in valid_urls:\n if valid_url[\"url\"] not in previously_valid_urls:\n LOGGER.debug(f\"New valid URL found: {valid_url['url']}\")\n new_valid_urls.append(valid_url)\n\n\n # 4) Send alerts based upon processed URL data\n # Send emails for new_valid_urls\n if new_valid_urls:\n LOGGER.info(\"New URLs found, sending email.\")\n send_email(config[\"from_email\"], config[\"to_email\"], config[\"email_subject\"],\n generate_email_body(new_valid_urls))\n\n # Once emails have sent (and threw no exception), update start_value if slide_window is True\n if config[\"slide_window\"]:\n greatest_valid_value = new_valid_urls[-1]['value']\n\n new_start_value = greatest_valid_value + 1\n LOGGER.info(f\"Updating start value from {config['start_value']} to {new_start_value}\")\n config[\"start_value\"] = new_start_value\n\n\n # 5) Save state\n # Save previously_valid_urls as list of just URL strings, no metadata is needed\n save_previously_valid_urls([valid_url[\"url\"] for valid_url in valid_urls])\n\n save_config(config)\n\n\n return {\n \"statusCode\": 200,\n \"body\": json.dumps({\n \"all_valid_urls\": valid_urls,\n \"new_valid_urls\": new_valid_urls,\n }),\n }","def s3_store_data(self):\n\n USERHOMEDIR = os.path.expanduser('~')\n TESTFILEPATH = \"%s/3MBFILE\" % USERHOMEDIR\n if not os.path.exists(TESTFILEPATH):\n with open(TESTFILEPATH, \"wb\") as out:\n out.truncate(1024 * 1024 * 3)\n self.k.set_contents_from_filename(TESTFILEPATH)","def make_arguments_from_database(\n s3_inbound_file: str, s3_bucket_name: str\n) -> (Dict[str, str], str):\n # 'secret_name' is the only existing environment variable for lambda function\n secret_name = os.environ[\"SECRET_NAME\"]\n\n incoming_file_name = s3_inbound_file.split(\"/\")[-1]\n logger.info(f\"incoming_file: %s\", incoming_file_name)\n # gets full string before 3rd '_' character in incoming file and checks if any name_pattern exists in db\n incoming_file_name_pattern = get_file_name_pattern(incoming_file_name)\n logger.info(f\"incoming_file_name_pattern: %s\", incoming_file_name_pattern)\n\n client_file: ClientFile = ClientFileRepo(secret_name=secret_name).get_client_file_from_name_pattern(incoming_file_name_pattern)\n logger.info(f\"client_file : %s\", client_file)\n\n if client_file is not None:\n logger.info(\n \"incoming file name '%s' matches with file name pattern '%s' in client files table \",\n incoming_file_name,\n client_file.name_pattern,\n )\n\n job_args = {\n # preparing arguments for glue job 'irxah_process_incoming_<client_name>_file'\n \"--SECRET_NAME\": os.environ[\"SECRET_NAME\"], # for connecting db (retrieved as lambda environment variable)\n \"--S3_FILE\": s3_inbound_file, # file_name with path (retrieved from s3 trigger event)\n \"--S3_FILE_BUCKET\": s3_bucket_name, # s3_bucket_name (retrieved from s3 trigger event)\n \"--CLIENT_FILE_ID\": str(client_file.client_file_id), # unique id of client file (retrieved from db)\n # we are passing a dummy job key as generation of standard file (GILA) from custom file (BCBAZ) will not have a unique unzip key.\n # by this, we are avoiding 'irxah_process_incoming_file' glue job failure\n \"--UNZIP_JOB_DETAIL_KEY\": \"0\",\n }\n\n glue_job_name = client_file.glue_job_name\n\n return job_args, glue_job_name\n\n logger.info(\n \"Incoming file '%s' name doesn't match with any of the expected file name pattern in db. \"\n \"Hence, it will not be processed further. It remains as is in 'inbound/txtfiles' folder.\",\n incoming_file_name,\n )\n return None","def save_metadata(self, acl='public-read'):\n bucket_name = app.config['S3_BUCKET_NAME']\n s3_client = app.config['S3']\n key = self.build_s3_key('datapackage.json')\n s3_client.put_object(Bucket=bucket_name, Key=key,\n Body=self.body, ACL=acl)","def _s3_stash(self):\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\n bucketpath = BUCKET.strip(\"/\")\n bucketbase = BUCKET.split(\"/\")[0]\n parts = urlparse.urlsplit(s3_url)\n mimetype = 'application/xml' \n \n conn = boto.connect_s3()\n\n try:\n bucket = conn.get_bucket(bucketbase)\n except boto.exception.S3ResponseError:\n bucket = conn.create_bucket(bucketbase)\n self.logger.info(\"Created S3 bucket {}\".format(bucketbase))\n\n if not(bucket.get_key(parts.path)):\n key = bucket.new_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"created {0}\".format(s3_url)\n self.logger.info(msg)\n else:\n key = bucket.get_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"re-uploaded {}\".format(s3_url)\n self.logger.info(msg)","def upload(jsonfiles):\n # clear S3 Bucket\n bucket = S3Bucket()\n bucket.clear()\n for jsonfile in jsonfiles:\n filename = os.path.basename(jsonfile)\n key = build_key(filename)\n logging.info(\"%s %s\", filename, key)\n # store json in S3 object\n bucket.store(key, jsonfile)","def ingest(self):\n datetime_retrieved = datetime.now()\n prefix = self.prefix_template.format(**self.feed, year=datetime_retrieved.strftime('%Y'), month=datetime_retrieved.strftime('%m'))\n fp = self.generate_fp(\n template='{feedname}_{datetime_retrieved}',\n feedname=self.feed['feedname'],\n datetime_retrieved=datetime_retrieved\n )\n\n url_to_request = self.url_dict[(self.feed['state'],self.feed['feedname'])]\n try:\n r = requests.get(url_to_request)\n if r.status_code == 200:\n data_to_write = r.content\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\n self.print_func('Raw data ingested from {} to {} at {} UTC'.format(url_to_request, prefix+fp, datetime_retrieved))\n else:\n self.print_func('Received status code {} from {} feed.'.format(r.status_code,self.feed['feedname']))\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))\n return\n except BaseException as e:\n data_to_write = f'The feed at {datetime_retrieved.isoformat()}.'.encode('utf-8')\n fp += '__FEED_NOT_RETRIEVED'\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\n self.print_func('We could not ingest data from {} at {} UTC'.format(url_to_request, datetime_retrieved))\n raise e\n\n # trigger semi-parse ingest\n if self.feed['pipedtosandbox'] == True:\n self.print_func('Trigger {} for {}'.format(self.lambda_to_trigger, self.feed['feedname']))\n lambda_client = self.s3helper.session.client('lambda')\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\n response = lambda_client.invoke(\n FunctionName=self.lambda_to_trigger,\n InvocationType='Event',\n LogType='Tail',\n ClientContext='',\n Payload=json.dumps(data_to_send).encode('utf-8')\n )\n self.print_func(response)\n else:\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\n\n # trigger ingest to socrata\n if self.feed['pipedtosocrata'] == True:\n self.print_func('Trigger {} for {}'.format(self.socrata_lambda_to_trigger, self.feed['feedname']))\n lambda_client = self.s3helper.session.client('lambda')\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\n response = lambda_client.invoke(\n FunctionName=self.socrata_lambda_to_trigger,\n InvocationType='Event',\n LogType='Tail',\n ClientContext='',\n Payload=json.dumps(data_to_send).encode('utf-8')\n )\n self.print_func(response)\n else:\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))","def create_bucket(request: Dict) -> Dict:\n global config\n\n body = {\n \"user_name\": request.get(\"user_name\"),\n \"prefix\": request.get(\"bucket_name\")[0:5],\n \"bucket_name\": request.get(\"bucket_name\"),\n \"region\": request.get(\"region\")\n }\n\n response = requests.post(url=config.api_url('bucket'),\n data=json.dumps(body),\n headers={'content-type': 'application/json'})\n\n if response.status_code == HTTPStatus.OK:\n return response.json()","def set_info_s3(self, config_on_json):\n try:\n if config_on_json:\n if config_on_json.get(\"aws_access_key_id\") and config_on_json.get(\"aws_secret_access_key\") and config_on_json.get(\"use_ssl\") and config_on_json.get(\"endpoint_url\"):\n config_on_json[\"profile_name\"] = \"json_config\"\n return config_on_json\n else:\n config_default_dict = {\n \"profile_name\": \"default\",\n \"aws_access_key_id\": self.config.get('s3', 'aws_access_key_id'),\n \"aws_secret_access_key\": self.config.get('s3', 'aws_secret_access_key'),\n \"use_ssl\": self.config.get('s3', 'use_ssl'),\n \"endpoint_url\": self.config.get('s3', 'endpoint_url'),\n }\n return config_default_dict\n except:\n constant.get_error(constant.ERROR_004)","def lambda_handler(*_):\n\n # Boto is always available in AWS lambda, but may not be available in\n # standalone mode\n import boto3\n\n # To generate the encrypted values, go to AWS IAM Keys and Generate a key\n # Then grant decryption using the key to the IAM Role used for your lambda\n # function.\n #\n # Use the command `aws kms encrypt --key-id alias/<key-alias> --plaintext <value-to-encrypt>\n # Put the encrypted value in the configuration dictionary below\n encrypted_config = {\n 'slack_token': '<ENCRYPTED VALUE>',\n 'pager_duty_token': '<ENCRYPTED VALUE>'\n 'pager_duty_domain_prefix': '<ENCRYPTED VALUE>'\n }\n\n kms = boto3.client('kms')\n config = {x: kms.decrypt(CiphertextBlob=b64decode(y))['Plaintext'] for x, y in encrypted_config.iteritems()}\n return SlackOnCall(**config).run()","def handler(event, context=None):\n LOGGER.info(event)\n result = {'status':'400', 'messages':'Error'}\n bucket = event[\"Records\"][0][\"s3\"][\"bucket\"][\"name\"]\n key = unquote_plus(event[\"Records\"][0][\"s3\"][\"object\"][\"key\"].encode(\"utf8\"))\n obj = S3.get_object(Bucket=bucket, Key=key)\n document_file = (key, BytesIO(obj[\"Body\"].read()))\n lendi_document_id = obj[\"Metadata\"][\"lendi_document_id\"]\n master_document_id = obj[\"Metadata\"][\"master_document_id\"]\n workflow_id = get_workflow_id(master_document_id)\n if workflow_id:\n xtracta_response = upload_document_to_xtracta(workflow_id, document_file)\n else:\n logging.error(\"No workflow_id for master_document_id: %s\", master_document_id)\n return result\n if xtracta_response['status'] == '200':\n insert_document(xtracta_response['document_id'], lendi_document_id,\\\n workflow_id, 'preprocessing')\n else:\n logging.error(\"No xtracta_document_id for %s\", xtracta_response['message'])\n return xtracta_response\n return xtracta_response","def upload_from_path_to_s3(file_path):\n bucket_name = \"alp-reports-lambda\"\n environment = \"dev\" if os.environ.get('LOCAL') else \"prod\"\n object_key = f\"{environment}/835/{file_path.split('/')[-1]}\"\n\n s3 = boto3.resource('s3')\n s3.Object(bucket_name, object_key).upload_file(file_path, ExtraArgs={'ACL': 'public-read'})\n\n return f\"https://s3.amazonaws.com/{bucket_name}/{object_key}\"","def structure_payload(user_settings=None, login=None, email=None, password=None, first_name=None, last_name=None,\n biography=None, sso_id=None, web_page_url=None, cover_image=None):\n payload_mapping = {\n 'type': 'user',\n 'biography': biography,\n 'cover_image': cover_image,\n 'email': email,\n 'first_name': first_name,\n 'last_name': last_name,\n 'login': login,\n 'password': password,\n 'sso_id': sso_id,\n 'web_page_url': web_page_url\n }\n payload = {}\n if user_settings:\n payload.update(user_settings)\n for field_name, field_value in payload_mapping.items():\n if payload_mapping.get(field_name):\n payload[field_name] = field_value\n payload = {'data': payload}\n return payload","def __init__(self, bucket, feed=None, lambda_to_trigger=None,\n socrata_lambda_to_trigger=None,\n **kwargs):\n super(WorkZoneRawSandbox, self).__init__(bucket, **kwargs)\n self.prefix_template = 'state={state}/feedName={feedname}/year={year}/month={month}/'\n self.feed = feed\n self.lambda_to_trigger = lambda_to_trigger\n self.socrata_lambda_to_trigger = socrata_lambda_to_trigger\n self.url_dict = {}\n self.read_urls()\n # variables necessary to update last ingest time to Socrata WZDx feed registry\n # this is currently done in the previous lambda function \"wzdx_trigger_ingest\".\n # leaving the block below in case we move the step to this function","def generate_pre_signed_post_object(self, path, md5,\n acl='public-read',\n file_type='binary/octet-stream'):\n bucket_name = app.config['S3_BUCKET_NAME']\n s3_client = app.config['S3']\n key = self.build_s3_key(path)\n post = s3_client.generate_presigned_post(Bucket=bucket_name,\n Key=key,\n Fields={\n 'acl': acl,\n 'Content-MD5': str(md5),\n 'Content-Type': file_type},\n Conditions=[\n {\"acl\": \"public-read\"},\n [\"starts-with\", \"$Content-Type\", \"\"],\n [\"starts-with\", \"$Content-MD5\", \"\"]\n ])\n return post","def upload_to_s3(file_path, config):\n logging.info(\"Uploading file to S3 bucket: %s\", config['s3_bucket_name'])\n s3 = boto3.resource('s3')\n s3_filename = config['s3_bucket_path'] + config['rendered_filename']\n s3.Bucket(config['s3_bucket_name']).upload_file(\n file_path, s3_filename, ExtraArgs={\n 'ContentType': 'text/html', 'ACL': 'public-read'})","def _upload_file_to_aws(aws_upload_details):\n # Step 1: get the request signed\n sig_uri = aws_upload_details['signature']\n\n now = dt.datetime.utcnow()\n expires = now + dt.timedelta(hours=1)\n now_ts = timegm(now.timetuple())\n key = 'data_imports/%s.%s' % (filename, now_ts)\n\n payload = {}\n payload['expiration'] = expires.isoformat() + 'Z'\n payload['conditions'] = [\n {'bucket': aws_upload_details['aws_bucket_name']},\n {'Content-Type': 'text/csv'},\n {'acl': 'private'},\n {'success_action_status': '200'},\n {'key': key}\n ]\n\n sig_result = requests.post(main_url + sig_uri,\n headers=upload_header,\n data=json.dumps(payload))\n if sig_result.status_code != 200:\n msg = \"Something went wrong with signing document.\"\n raise RuntimeError(msg)\n else:\n sig_result = sig_result.json()\n\n # Step 2: upload the file to S3\n upload_url = \"http://%s.s3.amazonaws.com/\" % (aws_upload_details['aws_bucket_name'])\n\n # s3 expects multipart form encoding with files at the end, so this\n # payload needs to be a list of tuples; the requests library will encode\n # it property if sent as the 'files' parameter.\n s3_payload = [\n ('key', key),\n ('AWSAccessKeyId', aws_upload_details['aws_client_key']),\n ('Content-Type', 'text/csv'),\n ('success_action_status', '200'),\n ('acl', 'private'),\n ('policy', sig_result['policy']),\n ('signature', sig_result['signature']),\n ('file', (filename, open(upload_filepath, 'rb')))\n ]\n\n result = requests.post(upload_url,\n files=s3_payload)\n\n if result.status_code != 200:\n msg = \"Something went wrong with the S3 upload: %s \" % result.reason\n raise RuntimeError(msg)\n\n # Step 3: Notify SEED about the upload\n completion_uri = aws_upload_details['upload_complete']\n completion_payload = {\n 'import_record': upload_dataset_id,\n 'key': key,\n 'source_type': upload_datatype\n }\n return requests.post(main_url + completion_uri,\n headers=upload_header,\n data=completion_payload)","def run(self):\n #To ADD\n \n # Get Access keys from command line \n accessKey = self.accessKey\n secretAccessKey = self.secretAccessKey\n\n try:\n #Creating S3 Connection using Access and Secrect access key\n conn = S3Connection(accessKey, secretAccessKey)\n # Connecting to specified bucket\n b = conn.get_bucket('case3')\n #Initializing Key\n k = Key(b)\n #Uploading pickle and model performance files to S3 Bucket\n onlyfiles = pd.read_csv(run_models().output().path)['0'].tolist()\n for i in onlyfiles:\n k.key = i\n k.set_contents_from_filename(i)\n k.set_acl('public-read')\n except:\n print(\"Amazon credentials or location is invalid\")","def handler(event, context):\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');","def build_upload_dict(metadata, tags, project):\n upload_args = {}\n if metadata:\n # format metadata keys as snake case\n new_metadata = {}\n\n for md_key, md_val in metadata.items():\n new_metadata[snake_case(md_key)] = md_val\n\n upload_args[\"metadata\"] = new_metadata\n\n if tags:\n upload_args[\"tags\"] = tags\n\n if project:\n upload_args[\"project\"] = getattr(project, \"id\", project)\n\n return upload_args","def main():\n # get arguments that are passes to the glue job\n args = getResolvedOptions(sys.argv, ['source_bucket',\n 'source_key',\n 'destination_bucket',\n 'destination_key'])\n\n print('args parsed : {}'.format(args))\n\n source_bucket = args[\"source_bucket\"]\n source_key = args[\"source_key\"]\n destination_bucket = args[\"destination_bucket\"]\n destination_key = args[\"destination_key\"]\n\n # get zip file from s3\n s3_object = boto3.resource('s3')\\\n .Object(bucket_name=source_bucket, key=source_key)\n zip_file_byte_object = io.BytesIO(\n s3_object.get()[\"Body\"].read())\n zip_file = zipfile.ZipFile(zip_file_byte_object)\n name_list = zip_file.namelist()\n ret_val = []\n\n # unzip the zip file and write contents to s3\n for email_path in name_list:\n print('processing email path {}'.format(email_path))\n email = zip_file.open(email_path)\n email_byte_object = io.BytesIO(email.read())\n full_destination_key = destination_key + email_path\n print('uploading object to {}'.format(full_destination_key))\n boto3.client('s3').upload_fileobj(email_byte_object,\n destination_bucket,\n full_destination_key)\n email.close()\n ret_val.append(full_destination_key)\n\n print('stopped unzip')\n return ret_val","def lambda_handler(event, context):\n import urllib.request\n import json\n\n allowed_domain = \"brianandkelly.ws\"\n\n # print(event)\n # Get the user info from Google for the recieved token...\n id_token = event['authorizationToken']\n google_token_helper_uri = \"https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=\" + id_token\n\n result = json.loads(urllib.request.urlopen(google_token_helper_uri).read())\n\n domain = result['hd']\n user = result['sub']\n effect = 'Deny'\n\n if domain == allowed_domain:\n effect = 'Allow'\n \n print(\"Access request for user: \" + result['email'] + \" with effect: \" + effect + \" processed.\")\n\n respond = {\n \"principalId\": user,\n \"policyDocument\": {\n \"Version\": \"2012-10-17\",\n \"Statement\": [\n {\n \"Action\": \"execute-api:Invoke\",\n \"Effect\": effect,\n \"Resource\": \"arn:aws:execute-api:us-east-1:*:7k8o0sgjli/securityvideos/*\"\n }\n ]\n }\n }\n\n return respond","def uploaded(event, context):\n dt = datetime.utcnow()\n # NOTE: the event might include multiple records\n for r in event['Records']:\n file_id = r['s3']['object']['key']\n file = {\n 'id': file_id,\n 'size': r['s3']['object']['size'],\n 'type': get_s3_file_type(file_id),\n 'uploaded_at': dt,\n }\n if runtime_context.STORE:\n file['stored_at'] = dt\n FileModel.update(file)\n LOGGER.debug('Files item updated (uploaded). service=ddb method=update_item id={}'.format(file_id))\n return {\n \"statusCode\": 200\n }","def lambda_handler(event, context):\n\n # receive parameters\n file_id = event['file_id']\n fbid = event['fbid']\n\n # validate params\n if not file_id:\n return helpers._error('file_id was not provided')\n if not fbid or len(fbid) == 0:\n return helpers._error('facebook id was not provided')\n\n # check the user\n userObj = helpers.getUser(fbid)\n if userObj == False:\n return helpers._error('cannot find the user')\n\n userId = userObj['id']\n\n # check if the file already exists\n file = db.dbRow('SELECT id FROM files WHERE id = %s AND user_id = %s',\n file_id, userId\n )\n if not file:\n return helpers._error('file not found')\n\n # insert new file to the DB\n db.dbExec('DELETE FROM files WHERE id = %s', file_id)\n db.dbExec('DELETE FROM files_versions WHERE file_id = %s', file_id)\n\n return helpers._success()","def resize_and_upload(input, output, width, height):\n image = PIL.Image.open(input)\n if image.mode == \"CMYK\":\n image = image.convert(\"RGB\")\n if height:\n if height > image.size[1]:\n width = int(image.size[0] * (width / height))\n height = image.size[1]\n elif width > image.size[0]:\n height = int(image.size[1] * (height / width))\n width = image.size[0]\n # crop\n new_image = PIL.ImageOps.fit(\n image,\n (height, width),\n PIL.Image.ANTIALIAS\n )\n else:\n # if a bigger size of the original is asked, use original image\n if width > image.size[0]:\n new_image = image\n else:\n wpercent = (width / float(image.size[0]))\n height = int((float(image.size[1]) * float(wpercent)))\n new_image = image.resize((width, height), PIL.Image.ANTIALIAS)\n\n out_img = io.BytesIO()\n new_image.save(out_img, 'PNG')\n out_img.seek(0)\n uploaded = s3.Bucket(settings.AWS_STORAGE_BUCKET_NAME).put_object(\n ACL='public-read',\n Key=os.path.join(output, uuid.uuid4().hex + '.png'),\n Body=out_img,\n ContentDisposition='inline',\n ContentType='image/png',\n )\n if hasattr(settings, 'AWS_S3_CUSTOM_DOMAIN') and settings.AWS_S3_CUSTOM_DOMAIN:\n host = 'https://{}'.format(settings.AWS_S3_CUSTOM_DOMAIN)\n else:\n host = 'https://s3.{}.amazonaws.com/{}'.format(\n settings.AWS_S3_REGION_NAME,\n settings.AWS_STORAGE_BUCKET_NAME\n )\n return {\n 'href': '{}/{}'.format(\n host,\n uploaded.key,\n ),\n 'width': new_image.size[0],\n 'height': new_image.size[1],\n }","def build_payload(self, **kwargs):\n\n return None","def upload(env):\n if not env:\n click.echo(\"Environment must be specified\")\n click.Abort()\n\n with open(\"zappa_settings.json\", \"r\") as f:\n settings = json.load(f)\n\n if not settings:\n click.echo(\"Settings not loaded\")\n click.Abort()\n return\n\n try:\n s3_bucket = settings[env][\"s3_bucket\"]\n aws_region = settings[env][\"aws_region\"]\n except AttributeError:\n click.echo(\"Failed to get details from settings\")\n click.Abort()\n return\n\n session = boto3.Session()\n credentials = session.get_credentials()\n current_credentials = credentials.get_frozen_credentials()\n\n app.config[\"FLASKS3_FORCE_MIMETYPE\"] = True\n\n try:\n css_assets.build()\n\n flask_s3.create_all(\n app,\n user=current_credentials.access_key,\n password=current_credentials.secret_key,\n bucket_name=s3_bucket,\n location=aws_region,\n put_bucket_acl=False,\n )\n click.echo(\n f\"Uploaded assets to Bucket https://{s3_bucket}.s3.{aws_region}.amazonaws.com\"\n )\n except Exception as e:\n click.echo(f\"Failed to upload assets: {e}\")","def create_sam_bucket():\n local(f\"aws s3 mb s3://{env.bucket_name} --region {env.aws_region}\")","def customization_data(client=None):\n\n # This import data contains:\n # Function inputs:\n # execution_arn\n # lambda_function_name\n # lambda_payload\n # msg_body\n # phone_numbers\n # state_machine_async\n # state_machine_name\n # state_machine_payload\n # Message Destinations:\n # fn_aws_utilities\n # Functions:\n # fn_get_step_function_execution\n # fn_invoke_lambda\n # fn_invoke_step_function\n # fn_send_sms_via_sns\n # Workflows:\n # example_invoke_aws_lambda_python_addition\n # example_invoke_step_function_asynchronous\n # example_invoke_step_function_synchronous\n # example_send_sms_incident\n # Rules:\n # Example: Invoke AWS Lambda: Python Addition\n # Example: Invoke Step Function: Asynchronous\n # Example: Invoke Step Function: Synchronous\n # Example: Send SMS: Incident\n # Example: Send SMS: Incident [Menu Item]\n\n\n yield ImportDefinition(u\"\"\"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\nCg==\n\"\"\"\n )","def run(self):\n self.compress(\n self.__config.public_key(),\n self.__config.input_dir(),\n self.__config.output_dir(),\n self.__config.suffix()\n )","def get_post_form_args(self):\n if self.folder.type != 's3':\n self.folder.raise_user_error('not_s3_bucket')\n\n if not self.folder.s3_allow_large_uploads:\n self.folder.raise_user_error('folder_not_for_large_uploads')\n\n conn = self.folder.get_s3_connection()\n res = conn.build_post_form_args(\n config.get('nereid_s3', 'bucket'),\n self.get_s3_key('s3_key'),\n http_method='https',\n expires_in=self.folder.s3_upload_form_ttl,\n )\n return res","def create_json_redshift_firehose_from_stream(stack,\n name,\n firehose_arn,\n source_stream_arn,\n source_stream_role_arn,\n redshift_cluster_jdbc_url_param,\n redshift_username,\n redshift_password,\n redshift_db_table_name,\n log_group_name,\n redshift_log_stream,\n s3_log_stream,\n s3_bucket_arn,\n s3_kms_key_arn,\n s3_role_arn,\n s3_buffering_seconds=300,\n s3_buffering_size=5,\n s3_compression_format='GZIP'):\n\n return stack.stack.add_resource(\n DeliveryStream(\n '{0}Firehose'.format(name.replace('-', '')),\n DeliveryStreamName=name,\n DeliveryStreamType='KinesisStreamAsSource',\n KinesisStreamSourceConfiguration=KinesisStreamSourceConfiguration(\n KinesisStreamARN=source_stream_arn,\n RoleARN=source_stream_role_arn),\n RedshiftDestinationConfiguration=RedshiftDestinationConfiguration(\n CloudWatchLoggingOptions=CloudWatchLoggingOptions(\n Enabled=True,\n LogGroupName=log_group_name,\n LogStreamName=redshift_log_stream),\n ClusterJDBCURL=redshift_cluster_jdbc_url_param,\n CopyCommand=CopyCommand(\n CopyOptions='JSON \\'auto\\' ' + s3_compression_format,\n DataTableName=redshift_db_table_name,\n ),\n Password=redshift_password,\n RoleARN=firehose_arn,\n S3Configuration=S3Configuration(\n BucketARN=s3_bucket_arn,\n Prefix=name,\n BufferingHints=BufferingHints(\n IntervalInSeconds=s3_buffering_seconds,\n SizeInMBs=s3_buffering_size),\n CompressionFormat=s3_compression_format,\n EncryptionConfiguration=EncryptionConfiguration(\n KMSEncryptionConfig=KMSEncryptionConfig(\n AWSKMSKeyARN=s3_kms_key_arn)),\n CloudWatchLoggingOptions=CloudWatchLoggingOptions(\n Enabled=True,\n LogGroupName=log_group_name,\n LogStreamName=s3_log_stream),\n RoleARN=s3_role_arn),\n Username=redshift_username)))","def init_multipart_upload(key, expires_in=None):\n try:\n bucket = flask.current_app.config[\"DATA_UPLOAD_BUCKET\"]\n except KeyError:\n raise InternalError(\n \"fence not configured with data upload bucket; can't create signed URL\"\n )\n s3_url = \"s3://{}/{}\".format(bucket, key)\n return S3IndexedFileLocation(s3_url).init_multipart_upload(expires_in)","def json_to_dict(s3_user):\n try:\n s3_config = s3_user.get_object(Bucket=\"hermes-sharedservices-data\", Key=\"Lambdas/start-stop/config.json\")['Body'].read()\n logger.info('Fetching config file..')\n return ast.literal_eval(s3_config)\n except Exception as error:\n logger.info(\"Reading the config from S3 failed with the following error : {}\".format(error))"],"string":"[\n \"def lambda_handler(event, context):\\n \\n filename = None\\n fobj = None\\n\\n try:\\n \\n filename = 'dlq' + '-' + datetime.datetime.now().strftime(\\\"%s\\\")\\n fobj = open('/tmp/'+filename, 'w')\\n logger.debug('S3 client set up.')\\n\\n for record in event['Records']:\\n fobj.write(json.dumps(record['body']))\\n fobj.write(\\\"\\\\n\\\")\\n \\n except Exception as ex:\\n logger.error('Exception in executing ingestion to S3: {}'.format(ex))\\n send_sns_alert(str(ex))\\n raise\\n\\n else:\\n \\n #Saves file to S3\\n fobj.close()\\n load_data_s3(filename)\\n\\n return {\\n 'statusCode': 200,\\n 'body': json.dumps('Success!')\\n }\\n\\n finally:\\n\\n # S3 - close temp object\\n fobj.close()\",\n \"def lambda_handler(event, context):\\n try:\\n # Extract the Job ID\\n job_id = event['CodePipeline.job']['id']\\n\\n # Extract the Job Data\\n job_data = event['CodePipeline.job']['data']\\n\\n # Extract the params\\n params = get_user_params(job_data)\\n\\n # Get the lists of artifacts coming in and out of this function\\n input_artifacts = job_data['inputArtifacts']\\n output_artifacts = job_data['outputArtifacts']\\n\\n # Perform a build on the source (from source_artifact)\\n # and write results to the build_artifact\\n s3 = setup_s3_client(job_data)\\n source_artifact = find_artifact(input_artifacts, params['source_artifact'])\\n src_dir = get_zipped_artifact(s3, source_artifact)\\n dest_dir = tempfile.mkdtemp()\\n perform_build(os.path.join(src_dir, 'src'), dest_dir)\\n build_artifact = find_artifact(output_artifacts, params['build_artifact'])\\n put_zipped_artifact(s3, dest_dir, build_artifact)\\n\\n # Pick the template out of the source code and write it to the\\n # template_artifact\\n template_artifact = find_artifact(output_artifacts, params['template_artifact'])\\n put_zipped_artifact(s3, os.path.join(src_dir, params['template_subdir_path']), template_artifact)\\n\\n shutil.rmtree(src_dir)\\n shutil.rmtree(dest_dir)\\n put_job_success(job_id, \\\"Built code: \\\" + \\\", template:\\\")\\n\\n except Exception as e:\\n # If any other exceptions which we didn't expect are raised\\n # then fail the job and log the exception message.\\n print('Function failed due to exception.')\\n print(e)\\n traceback.print_exc()\\n put_job_failure(job_id, 'Function exception: ' + str(e))\\n\\n print('Function complete.')\\n return \\\"Complete.\\\"\",\n \"def main(event, context):\\n s3 = boto3.resource('s3')\\n try:\\n s3.meta.client.download_file(S3_BUCKET, S3_EDITORS_KEY, '/tmp/local.json')\\n except ClientError as e:\\n print('Error downloading file from S3 {}'.format(e))\\n return {'statusCode': 400, 'body': json.dumps({'status': str(e)})}\\n try:\\n user = event['pathParameters']['user']\\n attributes = json.loads(event['body'])\\n age = attributes['age']\\n editor = attributes['editor']\\n except KeyError as error:\\n print('Problem getting data from request: {}'.format(error))\\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}\\n with open('/tmp/local.json', 'a') as local:\\n data = dict(\\n user=user,\\n age=age,\\n editor=editor,\\n now=datetime.now().isoformat(' ')\\n )\\n json.dump(data, local)\\n local.write('\\\\n')\\n try:\\n s3.meta.client.upload_file('/tmp/local.json', S3_BUCKET, S3_EDITORS_KEY)\\n return {'statusCode': 200, 'body': json.dumps({'status': 'success'})}\\n except ClientError as error:\\n print('Problem uploading file to S3: {}'.format(error))\\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}\",\n \"def lambda_handler(event, context): # pylint: disable=too-many-locals,too-many-branches,too-many-statements\\r\\n try: # pylint: disable=too-many-nested-blocks\\r\\n print(\\\"Execution started!\\\")\\r\\n #print(\\\"Event: \\\",event)\\r\\n # Bucket name and Full path for file - where file will be uploded\\r\\n source_bucket_name = event[\\\"detail\\\"][\\\"requestParameters\\\"][\\\"bucketName\\\"]\\r\\n source_key = urllib.parse.unquote_plus(\\r\\n event[\\\"detail\\\"][\\\"requestParameters\\\"][\\\"key\\\"], encoding='utf-8')\\r\\n \\r\\n print(\\\"file_path: \\\",source_key)\\r\\n #Loading master config\\r\\n print(\\\"Loading master_config\\\")\\r\\n audit_config = {}\\r\\n config_path = \\\"./config/\\\" + \\\\\\r\\n os.environ['CCM_ENV'] + \\\"/master_config.json\\\"\\r\\n config_content = open(config_path).read()\\r\\n config_json = json.loads(config_content)\\r\\n audit_config = config_json[\\\"audit_config\\\"]\\r\\n snow_params = config_json[\\\"ERROR_NOTIFICATION_SNOW_PARAMS\\\"]\\r\\n athena_query_param = config_json[\\\"ATHENA_QUERY_PARAMS\\\"]\\r\\n athena_table_params = config_json[\\\"ATHENA_TABLE_PARAMS\\\"]\\r\\n\\r\\n # Audit Parameters Based on the Invoking lambda and its operation involved\\r\\n audit_config[\\\"component_type_code\\\"] = \\\"ETL\\\"\\r\\n audit_config[\\\"component_name\\\"] = \\\"PCP Appflow\\\"\\r\\n audit_config[\\\"source_name\\\"] = \\\"Patient Connections Platform\\\"\\r\\n audit_config[\\\"target_name\\\"] = \\\"Consumer Consent Management\\\"\\r\\n audit_config[\\\"full_file_path\\\"] = \\\"s3://\\\" + \\\\\\r\\n source_bucket_name + \\\"/\\\" + source_key\\r\\n audit_config[\\\"file_version_id\\\"] = \\\"\\\"\\r\\n\\r\\n # Creates Job Entry in ABC Framework\\r\\n print(\\\"audit config::\\\", audit_config)\\r\\n process_execution_id = audit_helper.\\\\\\r\\n invoke_edb_abc_log_process_status_event_job_entry(audit_config)\\r\\n audit_config[\\\"process_execution_id\\\"] = process_execution_id\\r\\n print(\\\"process_execution_id ::\\\", process_execution_id)\\r\\n #print(\\\"source_key: \\\",source_key)\\r\\n s3_write = boto3.client('s3')\\r\\n record_dict = {}\\r\\n file_name = \\\"\\\"\\r\\n final_json = \\\"\\\"\\r\\n # prefix = \\\"\\\"\\r\\n # file_list = []\\r\\n # client = boto3.client(\\\"s3\\\")\\r\\n # result = client.list_objects(Bucket=source_bucket_name, Prefix=source_key, Delimiter='/')\\r\\n # #print(result)\\r\\n # for obj in result.get('CommonPrefixes'):\\r\\n # prefix = obj.get('Prefix')\\r\\n # #print(prefix)\\r\\n # file_list = list_files(client,source_bucket_name,prefix)\\r\\n # for file in file_list:\\r\\n # #print(file)\\r\\n json_read = read_s3_file(source_bucket_name, source_key)\\r\\n data = json.loads(json_read)\\r\\n #print(data)\\r\\n if data != '':\\r\\n record_dict = {k.lower(): v for k, v in data.items()}\\r\\n print(\\\"Record_Dict::\\\",record_dict)\\r\\n event_type_param = {}\\r\\n event_type_list = athena_table_params.keys()\\r\\n print(\\\"event_type_list\\\",event_type_list)\\r\\n for key in event_type_list:\\r\\n print(\\\"key\\\",key)\\r\\n if key in source_key:\\r\\n print(\\\"key\\\",key)\\r\\n event_type_param = athena_table_params[key]\\r\\n print(event_type_param)\\r\\n if \\\"changeeventheader\\\" in record_dict:\\r\\n if record_dict[\\\"changeeventheader\\\"][\\\"changeType\\\"] == \\\"CREATE\\\":\\r\\n #and record_dict[\\\"dtpc_affiliate__c\\\"] == 'US':\\r\\n recordid_create = record_dict[\\\"changeeventheader\\\"][\\\"recordIds\\\"][0]\\r\\n print(recordid_create)\\r\\n if recordid_create != '':\\r\\n last_modified_date = record_dict[\\\"lastmodifieddate\\\"].replace(\\\":\\\",\\\".\\\")\\r\\n create_json = json.dumps(record_dict)\\r\\n final_json = create_json\\r\\n file_name = recordid_create + \\\"-create-\\\" + str(last_modified_date)\\r\\n print(\\\"file_name: \\\",file_name)\\r\\n outbound_path = event_type_param[\\\"folder_path\\\"]\\r\\n final_source_key = outbound_path + '/' + file_name+\\\".json\\\"\\r\\n print(\\\"final_source_key :\\\", final_source_key)\\r\\n s3_write.put_object(\\r\\n Body=final_json, Bucket=source_bucket_name, Key=final_source_key)\\r\\n else:\\r\\n raise Exception(\\\"RecordId is missing: \\\", record_dict)\\r\\n elif record_dict[\\\"changeeventheader\\\"][\\\"changeType\\\"] == \\\"UPDATE\\\":\\r\\n record_ids_list = record_dict[\\\"changeeventheader\\\"][\\\"recordIds\\\"]\\r\\n if len(record_ids_list) != 0:\\r\\n for ele in record_ids_list:\\r\\n print(ele)\\r\\n element = \\\"'\\\" + ele + \\\"'\\\"\\r\\n payload_condition = event_type_param[\\\"recordid_condition\\\"]\\r\\n query = 'SELECT * FROM '+event_type_param[\\\"athena_create_table\\\"]+\\\\\\r\\n ' WHERE lastmodifieddate IN(SELECT max(lastmodifieddate) from '\\\\\\r\\n +event_type_param[\\\"athena_create_table\\\"]+\\\\\\r\\n ', UNNEST(\\\"'+payload_condition[0]+'\\\".\\\"'+payload_condition[1]+\\\\\\r\\n '\\\") AS ln(jsondata) WHERE jsondata IN ('+element+'));'\\r\\n print(query)\\r\\n athena_query_param['athena_query'] = query\\r\\n query_result_record_id = athena_helper.perform_athena_search\\\\\\r\\n (athena_query_param)\\r\\n print(\\\"Athena Query Result for Create Path:::\\\", query_result_record_id)\\r\\n update_json = create_complete_payload(data,query_result_record_id)\\r\\n print(\\\"update_json: \\\",update_json)\\r\\n if len(update_json) != 0:\\r\\n last_modified_date = record_dict[\\\"lastmodifieddate\\\"].replace\\\\\\r\\n (\\\":\\\",\\\".\\\")\\r\\n final_json = json.dumps(update_json)\\r\\n file_name = ele + \\\"-update-\\\" + str(last_modified_date)\\r\\n print(\\\"file_name: \\\",file_name)\\r\\n outbound_path = event_type_param[\\\"folder_path\\\"]\\r\\n final_source_key = outbound_path + '/' + file_name+\\\".json\\\"\\r\\n print(\\\"final_source_key :\\\", final_source_key)\\r\\n s3_write.put_object(\\r\\n Body=final_json, Bucket=source_bucket_name, \\\\\\r\\n Key=final_source_key)\\r\\n else:\\r\\n print(ele,\\\" does not have a create payload\\\")\\r\\n else:\\r\\n raise Exception(\\\"RecordId is missing: \\\", record_dict)\\r\\n else:\\r\\n raise Exception(\\\"ChangeEventHeader is missing: \\\", record_dict)\\r\\n else:\\r\\n raise Exception(\\\"Invalid Payload: \\\", record_dict)\\r\\n\\r\\n except (Exception) as err: # pylint: disable=line-too-long,broad-except\\r\\n print(\\\"Error occured: {0}\\\".format(str(err)))\\r\\n audit_type = \\\"error\\\"\\r\\n error_msg = sys.exc_info()\\r\\n exc_type = error_msg\\r\\n exc_obj = error_msg\\r\\n snow_params[\\\"flag\\\"] = \\\"FAIL\\\"\\r\\n snow_params[\\\"error_message\\\"] = str(exc_obj)\\r\\n snow_params[\\\"error_type\\\"] = str(exc_type)\\r\\n audit_config[\\\"exception_message\\\"] = str(exc_obj)\\r\\n if audit_config != {}:\\r\\n logging.exception(sys.exc_info())\\r\\n audit_helper.invoke_edb_abc_log_process_status_event(\\r\\n audit_type, audit_config) # pylint: disable=line-too-long\\r\\n audit_helper.raise_snow_incident(snow_params)\",\n \"def preprocess(event, context):\\n # create file in DDB\\n file_id = utils.generate_id()\\n file_request = json.loads(event.get('body'))\\n FileModel.create({\\n 'id': file_id,\\n 'name': file_request.get('name')\\n })\\n LOGGER.debug('Files item created. service=ddb method=put_item id={}'.format(file_id))\\n # generate signed URL for posting file\\n url = S3_CLIENT.generate_presigned_url(\\n ClientMethod='put_object',\\n Params={\\n 'Bucket': runtime_context.BUCKET_NAME,\\n 'Key': file_id\\n },\\n ExpiresIn=runtime_context.EXPIRATION\\n )\\n LOGGER.debug('Presigned URL generated. service=s3 method=put_object id={}'.format(file_id))\\n # send back the signed url\\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps({\\n 'id': file_id,\\n 'url': url\\n }),\\n # CORS header\\n \\\"headers\\\": {\\n \\\"Access-Control-Allow-Origin\\\": \\\"*\\\"\\n }\\n }\",\n \"def lambda_handler(event, context):\\n\\n # Get details from the event.\\n job = event[\\\"CodePipeline.job\\\"]\\n input_bucket, input_key = get_input_artifact_location(job)\\n output_bucket, output_key = get_output_artifact_location(job)\\n user_params = get_user_parameters(job)\\n assume_role_arn = user_params[\\\"AssumeRoleArn\\\"]\\n image_parameter_name = user_params[\\\"ImageParameterName\\\"]\\n stack_name = user_params[\\\"StackName\\\"]\\n template_filename = user_params[\\\"TemplateFilename\\\"]\\n\\n # Create client in the pipeline account.\\n pipeline_s3_client = get_artifact_s3_client(job)\\n\\n # Create clients in the target account.\\n target_session = get_session(\\n role_arn=assume_role_arn, session_name=\\\"prepare-ami-deployment\\\"\\n )\\n target_cfn_client = target_session.client(\\\"cloudformation\\\")\\n target_ssm_client = target_session.client(\\\"ssm\\\")\\n\\n # Download the input artifact zip file, read manifest.json from it,\\n # and get the AMI it references. Also look up the associated image name.\\n with download_zip_file(\\n s3_client=pipeline_s3_client, bucket=input_bucket, key=input_key\\n ) as zip_file:\\n image_detail_string = zip_file.read(\\\"imageDetail.json\\\").decode(\\\"utf-8\\\")\\n log(\\\"IMAGE_DETAIL_STRING\\\", image_detail_string)\\n image_detail = json.loads(image_detail_string)\\n image = image_detail[\\\"ImageURI\\\"]\\n log(\\\"IMAGE\\\", image)\\n\\n # Update the SSM parameters with the image,\\n # to be used by the CloudFormation deployment stage of the pipeline.\\n target_ssm_client.put_parameter(\\n Name=image_parameter_name, Value=image, Type=\\\"String\\\", Overwrite=True\\n )\\n\\n # Write the CloudFormation stack's template to the output artifact location,\\n # to be used by the CloudFormation deployment stage of the pipeline.\\n template = get_cloudformation_template(\\n cfn_client=target_cfn_client, stack_name=stack_name\\n )\\n with create_zip_file({template_filename: template}) as zip_path:\\n pipeline_s3_client.upload_file(zip_path, output_bucket, output_key)\",\n \"def get_lambda_payload(self, date: str, symbol: str) -> bytes:\\n self._lambda_event['s3_bucket'] = self._config['s3_bucket']\\n self._lambda_event['s3_key_quotes'] = (\\n self._config['s3_key_input_prefix'] + date + '/' + symbol + '/' +\\n self._config['s3_key_quotes_suffix'])\\n self._lambda_event['s3_key_trades'] = (\\n self._config['s3_key_input_prefix'] + date + '/' + symbol + '/' +\\n self._config['s3_key_trades_suffix'])\\n self._lambda_event['s3_key_output'] = (\\n self._config['s3_key_output_prefix'] + date + '/' + symbol + '/' +\\n self._config['s3_key_output_suffix'])\\n return json.dumps(self._lambda_event).encode()\",\n \"def project_uploader():\\n if not current_app.config['S3_KEY']:\\n return ''\\n if len(request.files) == 0:\\n return 'No files selected'\\n img = request.files['file']\\n if not img or img.filename == '':\\n return 'No filename'\\n ext = img.filename.split('.')[-1].lower()\\n if ext not in ACCEPTED_TYPES:\\n return 'Invalid format (allowed: %s)' % ','.join(ACCEPTED_TYPES)\\n # generate a simpler filename\\n keepcharacters = ('.', '_')\\n safe_filename = img.filename.replace(' ', '_')\\n safe_filename = \\\"\\\".join(\\n c for c in safe_filename\\n if c.isalnum() or c in keepcharacters).rstrip()\\n if not safe_filename:\\n safe_filename = \\\"\\\".join(random_password(8), '.', ext)\\n # use random subfolder inside user id folder\\n filename = '/'.join([\\n str(current_user.id),\\n random_password(24),\\n safe_filename\\n ])\\n # with tempfile.TemporaryDirectory() as tmpdir:\\n # img.save(path.join(tmpdir, filename))\\n if 'S3_FOLDER' in current_app.config:\\n s3_filepath = '/'.join([current_app.config['S3_FOLDER'], filename])\\n else:\\n s3_filepath = filename\\n # print('Uploading to %s' % s3_filepath)\\n if 'S3_ENDPOINT' in current_app.config:\\n s3_obj = boto3.client(\\n service_name='s3',\\n endpoint_url=current_app.config['S3_ENDPOINT'],\\n aws_access_key_id=current_app.config['S3_KEY'],\\n aws_secret_access_key=current_app.config['S3_SECRET'],\\n )\\n #print('Uploading to endpoint %s' % current_app.config['S3_ENDPOINT'])\\n else:\\n s3_obj = boto3.client(\\n service_name='s3',\\n region_name=current_app.config['S3_REGION'],\\n aws_access_key_id=current_app.config['S3_KEY'],\\n aws_secret_access_key=current_app.config['S3_SECRET'],\\n )\\n #print('Uploading to region %s' % current_app.config['S3_REGION'])\\n # Commence upload\\n s3_obj.upload_fileobj(img,\\n current_app.config['S3_BUCKET'],\\n s3_filepath,\\n ExtraArgs={'ContentType': img.content_type,\\n 'ACL': 'public-read'}\\n )\\n return escape('/'.join([current_app.config['S3_HTTPS'], s3_filepath]))\",\n \"def lambda_handler(event, context):\\n\\n try:\\n\\n global AWS_REGION\\n\\n AWS_REGION = event['Records'][0]['awsRegion']\\n\\n s3objkey = urllib.parse.unquote_plus(event['Records'][0]['s3']['object']['key'], encoding='utf-8')\\n s3objsize = event['Records'][0]['s3']['object']['size']\\n bucket = event['Records'][0]['s3']['bucket']['name']\\n \\n print(\\\"\\\\nDealing with <- {} -> image from album [- {} -]\\\".format(str(s3objkey).split('/')[-1],\\n str(s3objkey).split('/')[-2]))\\n\\n full_table_name = DDB_TABLE + '_' + bucket\\n ddb_table = boto3.resource('dynamodb', region_name=AWS_REGION).Table(full_table_name)\\n\\n resp = ddb_table.get_item(Key={'FileName': s3objkey})\\n okey = resp.get('Item', {'OptimizedSizeKey': 'None'}).get('OptimizedSizeKey', 'No')\\n\\n if okey == 'Yes': # In DB file marked as optimized\\n\\n lbls = detect_rk_labels(s3objkey, s3objsize, bucket)\\n exiftags = fetch_exif_tags(s3objkey, bucket)\\n update_pig_config_ddb(s3objkey, bucket, lbls, exiftags, okey)\\n\\n elif okey == 'No' or okey == 'None': # file size is not optimized according to DB record\\n\\n _, optimized_img_path = img_optimizer(s3objkey, bucket)\\n update_pig_config_ddb(s3objkey, bucket, ok='Yes', _json=False)\\n\\n # Now we can PUT optimized file from /tmp to bucket\\n s3client = boto3.client('s3', region_name=AWS_REGION)\\n with open(optimized_img_path, 'rb') as content: # Upload optimized image to S3 (invokes another Lambda)\\n\\n ext = s3objkey.split('/')[-1].split('.')[-1]\\n for e, m in metadata.items():\\n if e == ext:\\n s3client.upload_fileobj(content,\\n bucket,\\n s3objkey,\\n ExtraArgs={'ContentType': m})\\n\\n print(\\\"Image {} size was optimized and uploaded to bucket as {}\\\".format(\\n str(s3objkey).split('/')[-1], s3objkey))\\n\\n print(\\\"\\\\nTime remaining (MS): {}\\\\n\\\".format(context.get_remaining_time_in_millis()))\\n\\n except Exception as e:\\n print('ERROR: ', e)\",\n \"def lambda_handler(event, context):\\n\\n for record in event['Records']:\\n\\n bucket = record['s3']['bucket']['name']\\n key = unquote_plus(record['s3']['object']['key'])\\n\\n str_value = s3_utils.download_file_as_string(bucket, key)\\n data = json.loads(str_value)\\n\\n normalized_data = {\\n 'meta': {\\n 'table': 'parcels',\\n 'column_names': [\\n 'dataset',\\n 'as_of',\\n 'apn',\\n 'objectid',\\n 'city',\\n 'x_coordinate',\\n 'y_coordinate',\\n 'area',\\n 'length'\\n ]\\n }\\n }\\n\\n rows = []\\n\\n dataset = data['meta']['dataset']\\n as_of = data['meta']['datetime']\\n\\n for r in data['results']:\\n\\n attr = r['attributes']\\n\\n temp_dict = {\\n 'dataset': dataset,\\n 'as_of': as_of,\\n 'apn': attr.get('APN_SPACE'),\\n 'objectid': attr.get('OBJECTID'),\\n 'city': attr.get('CITY'),\\n 'x_coordinate': attr.get('X'),\\n 'y_coordinate': attr.get('Y'),\\n 'area': attr.get('Shape.STArea()'),\\n 'length': attr.get('Shape.STLength()')\\n }\\n\\n rows.append(temp_dict)\\n\\n normalized_data['rows'] = rows\\n \\n bucket = 'gis-data-normalized'\\n file_name = 'normalized_' + key\\n s3_utils.upload_json_as_file(normalized_data, bucket, file_name)\",\n \"def sync_to_bucket(s3_url,\\n region='eu-west-1',\\n profile_name=None):\\n\\n parsed_s3_url = urlparse.urlparse(s3_url);\\n\\n bucket_name = parsed_s3_url.hostname;\\n key_prefix = parsed_s3_url.path;\\n if key_prefix[0] == '/':\\n key_prefix = key_prefix[1:]\\n if key_prefix[-1] != '/':\\n key_prefix = key_prefix + '/'\\n\\n def inner(fn_inner):\\n \\\"\\\"\\\"\\n Decorator function function sent in should be having signature\\n func(None,None, XmlDoc) and should yield JSON document one for\\n each file that should be persisted to S3\\n \\\"\\\"\\\"\\n\\n def handler(event, context):\\n \\\"\\\"\\\"\\n The AWS Lambda Entry Point\\n \\\"\\\"\\\"\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\\n\\n return handler\\n\\n return inner\",\n \"def _upload_code(\\n s3_conn: S3Client,\\n bucket: str,\\n prefix: str,\\n name: str,\\n contents: Union[bytes, str],\\n content_hash: str,\\n payload_acl: ObjectCannedACLType,\\n) -> Code:\\n LOGGER.debug(\\\"ZIP hash: %s\\\", content_hash)\\n key = f\\\"{prefix}lambda-{name}-{content_hash}.zip\\\"\\n\\n if _head_object(s3_conn, bucket, key):\\n LOGGER.info(\\\"object already exists; not uploading: %s\\\", key)\\n else:\\n LOGGER.info(\\\"uploading object: %s\\\", key)\\n s3_conn.put_object(\\n Bucket=bucket,\\n Key=key,\\n Body=contents.encode() if isinstance(contents, str) else contents,\\n ContentType=\\\"application/zip\\\",\\n ACL=payload_acl,\\n )\\n\\n return Code(S3Bucket=bucket, S3Key=key)\",\n \"def upload_file_to_s3(file, user_id, type_data, name):\\n b = boto_init_s3(\\\"yapster\\\")\\n path_bucket = \\\"\\\"\\n if b:\\n if type_data == \\\"cover\\\":\\n path_bucket = \\\"yapsterusers/uid/\\\" + user_id + \\\"/cover/cover\\\"\\n\\n if type_data == \\\"profile\\\":\\n path_bucket = \\\"yapsterusers/uid/\\\" + user_id + \\\"/profile/profile\\\"\\n\\n if type_data == \\\"yap_audio\\\":\\n path_bucket = \\\"yapsterusers/uid/\\\" + user_id + \\\"/yaps/1/audio/\\\" + name\\n\\n if type_data == \\\"yap_image\\\":\\n path_bucket = \\\"yapsterusers/uid/\\\" + user_id + \\\"/yaps/1/image/\\\" + name\\n\\n if type_data == \\\"original\\\":\\n path_bucket = \\\"yapsterusers/uid/\\\" + user_id + \\\"/yaps/1/audio/original\\\"\\n\\n k = b.get_key(path_bucket)\\n if not k:\\n try:\\n k = b.new_key(path_bucket)\\n except:\\n return \\\"error occured\\\"\\n k.set_contents_from_file(file)\\n\\n return path_bucket\",\n \"def event(event, context):\\n# Sample event:\\n #\\n # _event = { \\\"Records\\\":[\\n # {\\n # \\\"eventVersion\\\":\\\"2.1\\\",\\n # \\\"eventSource\\\":\\\"aws:s3\\\",\\n # \\\"awsRegion\\\":\\\"us-east-1\\\",\\n # \\\"eventTime\\\":\\\"2021-10-14T07:40:55.113Z\\\",\\n # \\\"eventName\\\":\\\"ObjectCreated:Put\\\",\\n # \\\"userIdentity\\\":{\\n # \\\"principalId\\\":\\\"AWS:AROA6L2YJX2JCJYHEJ4UI:serverless-image-processing-test-create\\\"\\n # },\\n # \\\"requestParameters\\\":{\\n # \\\"sourceIPAddress\\\":\\\"94.140.8.209\\\"\\n # },\\n # \\\"responseElements\\\":{\\n # \\\"x-amz-request-id\\\":\\\"7CJHSGZ9MZF9995F\\\",\\n # \\\"x-amz-id-2\\\":\\\"X5OtpRb+P9CuYKDHvjT8z9prnqqsH1yatZchN2uw8/158mcRUVhQNSW/z5ffXLqkLhu+4Kc163vZiRgVk3XaGd8H1NhZCu8N\\\"\\n # },\\n # \\\"s3\\\":{\\n # \\\"s3SchemaVersion\\\":\\\"1.0\\\",\\n # \\\"configurationId\\\":\\\"9b8f4135-35d4-4e07-b8a5-7d68cc95870b\\\",\\n # \\\"bucket\\\":{\\n # \\\"name\\\":\\\"serverless-image-processing-test-serverless-image-processing\\\",\\n # \\\"ownerIdentity\\\":{\\n # \\\"principalId\\\":\\\"A5IHQSLNTJKZN\\\"\\n # },\\n # \\\"arn\\\":\\\"arn:aws:s3:::serverless-image-processing-test-serverless-image-processing\\\"\\n # },\\n # \\\"object\\\":{\\n # \\\"key\\\":\\\"test/6e7ef3f0-dcb6-4db6-9518-3bc6ec0ba492\\\",\\n # \\\"size\\\":116716,\\n # \\\"eTag\\\":\\\"f04e70e100f653a0e67f32f6098dea1c\\\",\\n # \\\"sequencer\\\":\\\"006167DF06C888A626\\\"\\n # }\\n # }\\n # }\\n # ]\\n # }\\n\\n logger.debug('event: {}'.format(event))\\n for record in event['Records']:\\n processRecord(record)\\n\\n return {'statusCode': httplib.ACCEPTED}\",\n \"def lambda_handler(event, context):\\n print(\\\"Incoming event: {}\\\".format(event))\\n for object in event.get(\\\"Records\\\"):\\n key = unquote_plus(object[\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"])\\n bucket_name = unquote_plus(object[\\\"s3\\\"][\\\"object\\\"][\\\"bucket_name\\\"])\\n print(\\\"Pymage: Resizing {} in bucket: {}\\\".format(key, bucket_name))\\n get_file_and_resize(bucket_name=bucket_name, file_name=key)\",\n \"def inner(fn_inner):\\n\\n def handler(event, context):\\n \\\"\\\"\\\"\\n The AWS Lambda Entry Point\\n \\\"\\\"\\\"\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\\n\\n return handler\",\n \"def upload_lambda_functions(context: CfnginContext, provider: Provider, **kwargs: Any):\\n LOGGER.warning(\\n \\\"%s is deprecated and will be removed in a future release - \\\"\\n \\\"see documentation for replacement\\\",\\n __name__,\\n )\\n # TODO add better handling for misconfiguration (e.g. forgetting function names)\\n # TODO support defining dockerize_pip options at the top level of args\\n custom_bucket = cast(str, kwargs.get(\\\"bucket\\\", \\\"\\\"))\\n if not custom_bucket:\\n if not context.bucket_name:\\n raise ValueError(\\\"hook requires bucket argument or top-level cfngin_hook\\\")\\n bucket_name = context.bucket_name\\n LOGGER.info(\\\"using default bucket from CFNgin: %s\\\", bucket_name)\\n else:\\n bucket_name = custom_bucket\\n LOGGER.info(\\\"using custom bucket: %s\\\", bucket_name)\\n\\n custom_bucket_region = cast(str, kwargs.get(\\\"bucket_region\\\", \\\"\\\"))\\n if not custom_bucket and custom_bucket_region:\\n raise ValueError(\\\"Cannot specify `bucket_region` without specifying `bucket`.\\\")\\n\\n bucket_region = select_bucket_region(\\n custom_bucket,\\n custom_bucket_region,\\n context.config.cfngin_bucket_region,\\n provider.region or \\\"us-east-1\\\",\\n )\\n\\n # Check if we should walk / follow symlinks\\n follow_symlinks = kwargs.get(\\\"follow_symlinks\\\", False)\\n if not isinstance(follow_symlinks, bool):\\n raise ValueError(\\\"follow_symlinks option must be a boolean\\\")\\n\\n # Check for S3 object acl. Valid values from:\\n # https://docs.aws.amazon.com/AmazonS3/latest/dev/acl-overview.html#canned-acl\\n payload_acl = cast(\\\"ObjectCannedACLType\\\", kwargs.get(\\\"payload_acl\\\", \\\"private\\\"))\\n\\n # Always use the global client for s3\\n session = context.get_session(region=bucket_region)\\n s3_client = session.client(\\\"s3\\\")\\n\\n ensure_s3_bucket(s3_client, bucket_name, bucket_region)\\n\\n prefix = kwargs.get(\\\"prefix\\\", \\\"\\\")\\n\\n results: Dict[str, Any] = {}\\n for name, options in kwargs[\\\"functions\\\"].items():\\n sys_path = (\\n os.path.dirname(context.config_path)\\n if os.path.isfile(context.config_path)\\n else context.config_path\\n )\\n results[name] = _upload_function(\\n s3_client,\\n bucket_name,\\n prefix,\\n name,\\n options,\\n follow_symlinks,\\n payload_acl,\\n str(sys_path),\\n work_dir=context.work_dir,\\n )\\n\\n return results\",\n \"def push_file_to_s3(logger, app_config, s3_object_info, start_timing):\\n import boto3\\n s3_resource = boto3.resource('s3')\\n logging.getLogger('boto3').addHandler(logger)\\n s3_object = get_config_item(app_config, 's3_info.object_base') + \\\\\\n '/' + s3_object_info['camera_name'] + '/' + \\\\\\n s3_object_info['date_string'] + '/' + \\\\\\n s3_object_info['hour_string'] + '/' + \\\\\\n s3_object_info['img_type'] + '/' + \\\\\\n s3_object_info['just_file']\\n\\n utc_ts = int(time.time() * 1000)\\n\\n object_metadata = {'camera': s3_object_info['camera_name'],\\n 'camera_timestamp': str(utc_ts)}\\n s3_resource.Object(get_config_item(app_config, 's3_info.bucket_name'),\\n s3_object).put(Body=open(s3_object_info['file_name'], 'rb'),\\n Metadata=object_metadata)\\n totaltime = time.time() - start_timing\\n logger.info(\\\"S3 Object: {} written to s3 in {} seconds.\\\".format(s3_object, totaltime))\\n return utc_ts\",\n \"def handle_image(data, user_id):\\n\\n import boto3\\n\\n s3_client = boto3.client('s3')\\n bucket_name = 'grouplite-bucket'\\n key = str(user_id)+'-'+str(datetime.now())\\n\\n s3_client.put_object(Bucket=bucket_name, Body=data, Key=key)\\n return key\",\n \"def _build_payload(data):\\n\\n for k, v in data.items():\\n data[k] = _transform(v, key=(k,))\\n\\n payload = {\\n 'access_token': SETTINGS['access_token'],\\n 'data': data\\n }\\n\\n return payload\",\n \"def lambda_handler(event, context):\\n\\n current_module = \\\"Aggregation_Combiner\\\"\\n error_message = \\\"\\\"\\n bpm_queue_url = None\\n current_step_num = 5\\n\\n # Define run_id outside of try block\\n run_id = 0\\n try:\\n # Retrieve run_id before input validation\\n # Because it is used in exception handling\\n run_id = event[\\\"RuntimeVariables\\\"][\\\"run_id\\\"]\\n\\n environment_variables = EnvironmentSchema().load(os.environ)\\n\\n runtime_variables = RuntimeSchema().load(event[\\\"RuntimeVariables\\\"])\\n\\n # Environment Variables\\n bucket_name = environment_variables[\\\"bucket_name\\\"]\\n run_environment = environment_variables[\\\"run_environment\\\"]\\n\\n # Runtime Variables\\n additional_aggregated_column = runtime_variables[\\\"additional_aggregated_column\\\"]\\n aggregated_column = runtime_variables[\\\"aggregated_column\\\"]\\n aggregation_files = runtime_variables[\\\"aggregation_files\\\"]\\n bpm_queue_url = runtime_variables[\\\"bpm_queue_url\\\"]\\n environment = runtime_variables[\\\"environment\\\"]\\n in_file_name = runtime_variables[\\\"in_file_name\\\"]\\n out_file_name = runtime_variables[\\\"out_file_name\\\"]\\n sns_topic_arn = runtime_variables[\\\"sns_topic_arn\\\"]\\n survey = runtime_variables[\\\"survey\\\"]\\n total_steps = runtime_variables[\\\"total_steps\\\"]\\n\\n except Exception as e:\\n error_message = general_functions.handle_exception(e, current_module, run_id,\\n context=context)\\n raise exception_classes.LambdaFailure(error_message)\\n try:\\n logger = general_functions.get_logger(survey, current_module, environment,\\n run_id)\\n except Exception as e:\\n error_message = general_functions.handle_exception(e, current_module,\\n run_id, context=context)\\n raise exception_classes.LambdaFailure(error_message)\\n\\n try:\\n logger.info(\\\"Started - Retrieved configuration variables.\\\")\\n # Get file from s3\\n imp_df = aws_functions.read_dataframe_from_s3(bucket_name, in_file_name)\\n\\n logger.info(\\\"Retrieved data from s3\\\")\\n\\n # Receive the 3 aggregation outputs.\\n ent_ref_agg = aggregation_files[\\\"ent_ref_agg\\\"]\\n cell_agg = aggregation_files[\\\"cell_agg\\\"]\\n top2_agg = aggregation_files[\\\"top2_agg\\\"]\\n\\n # Load file content.\\n ent_ref_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, ent_ref_agg)\\n cell_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, cell_agg)\\n top2_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, top2_agg)\\n logger.info(\\\"Successfully retrievied aggragation data from s3\\\")\\n\\n to_aggregate = [aggregated_column]\\n if additional_aggregated_column != \\\"\\\":\\n to_aggregate.append(additional_aggregated_column)\\n\\n # merge the imputation output from s3 with the 3 aggregation outputs\\n first_merge = pd.merge(\\n imp_df, ent_ref_agg_df, on=to_aggregate, how=\\\"left\\\")\\n\\n second_merge = pd.merge(\\n first_merge, cell_agg_df, on=to_aggregate, how=\\\"left\\\")\\n\\n third_merge = pd.merge(\\n second_merge, top2_agg_df, on=to_aggregate, how=\\\"left\\\")\\n\\n logger.info(\\\"Successfully merged dataframes\\\")\\n\\n # convert output to json ready to return\\n final_output = third_merge.to_json(orient=\\\"records\\\")\\n\\n # send output onwards\\n aws_functions.save_to_s3(bucket_name, out_file_name, final_output)\\n logger.info(\\\"Successfully sent data to s3.\\\")\\n\\n if run_environment != \\\"development\\\":\\n logger.info(aws_functions.delete_data(bucket_name, ent_ref_agg))\\n logger.info(aws_functions.delete_data(bucket_name, cell_agg))\\n logger.info(aws_functions.delete_data(bucket_name, top2_agg))\\n logger.info(\\\"Successfully deleted input data.\\\")\\n\\n aws_functions.send_sns_message(sns_topic_arn, \\\"Aggregation - Combiner.\\\")\\n logger.info(\\\"Successfully sent data to sns.\\\")\\n\\n except Exception as e:\\n error_message = general_functions.handle_exception(e,\\n current_module,\\n run_id,\\n context=context,\\n bpm_queue_url=bpm_queue_url)\\n\\n finally:\\n if (len(error_message)) > 0:\\n logger.error(error_message)\\n raise exception_classes.LambdaFailure(error_message)\\n\\n logger.info(\\\"Successfully completed module.\\\")\\n\\n # Send end of module status to BPM.\\n status = \\\"DONE\\\"\\n aws_functions.send_bpm_status(bpm_queue_url, current_module, status, run_id,\\n current_step_num, total_steps)\\n\\n return {\\\"success\\\": True}\",\n \"def task_deploy():\\n client = boto3.client(\\\"lambda\\\")\\n\\n def upload_build():\\n if function_exists(client):\\n update_lambda_function(client)\\n else:\\n create_lambda_function(client)\\n\\n return {\\\"actions\\\": [upload_build], \\\"file_dep\\\": [f\\\"{DIST_DIR}/build.zip\\\"]}\",\n \"def publish():\\n reset()\\n compress()\\n build()\\n s3deploy()\\n log_success()\",\n \"def lambda_handler(event, context):\\n\\n # S3 resource invocation\\n s3_resource = boto3.resource('s3')\\n # S3 bucket selection\\n data_bucket_name = \\\"put_here_data_bucket_name\\\"\\n # The SageMaker runtime is what allows us to invoke the endpoint that we've created.\\n runtime = boto3.Session().client('sagemaker-runtime')\\n\\n request_body_dict = json.loads(event['body'])\\n\\n # Now we use the SageMaker runtime to invoke our endpoint, sending both ticker and start date if given\\n if request_body_dict['start_date'] != \\\"\\\":\\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\\n ContentType='application/json', # The data format that is expected\\n Body=encode_future_request(request_body=request_body_dict,\\n s3_resource=s3_resource,\\n s3_bucket=data_bucket_name, prefix='valid'))\\n # or only ticker name if no start date has been provided\\n elif request_body_dict['ticker_name'] != \\\"\\\":\\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\\n ContentType='application/json', # The data format that is expected\\n Body=encode_request(ticker_name=request_body_dict['ticker_name'],\\n s3_resource=s3_resource, s3_bucket=data_bucket_name,\\n prefix='train'))\\n\\n # The response is an HTTP response whose body contains the result of our inference\\n result = response['Body'].read().decode('utf-8')\\n\\n # print data for debug purposes\\n print(result)\\n\\n return {\\n 'statusCode': 200,\\n 'headers': {'Content-Type': 'application/json', 'Access-Control-Allow-Origin': '*'},\\n 'body': str(result)\\n }\",\n \"def _upload_s3(self, filename, bucket, objectKey):\\n return s3_client.upload_file(filename, bucket, objectKey)\",\n \"def pushToS3()-> None:\\n logging.info(f\\\"Connecting to s3 {getTime()}\\\")\\n s3 = boto3.client(\\\"s3\\\",endpoint_url=\\\"http://localhost:4566\\\")\\n if(not s3.head_bucket(Bucket=\\\"demo\\\")):\\n s3.create_bucket(Bucket='demo')\\n try:\\n logging.info(f\\\"Uploading to s3 {getTime()}\\\")\\n s3.upload_file(\\\"result.csv\\\",\\\"demo\\\",\\\"result.csv\\\")\\n logging.info(f\\\"Finished uploding to s3 {getTime()}\\\")\\n except ClientError as e:\\n logging.error(f\\\"Error uploading file to S3 {getTime()}\\\")\",\n \"def upload_master_config_to_s3(self, master_attributes, master_user_data):\\n # Upload the attributes file.\\n self._bucket.put_object(key=self._s3_master_attributes_path, data=json.dumps(master_attributes))\\n # Upload the user-data file.\\n self._bucket.put_object(key=self._s3_master_user_data_path, data=master_user_data)\",\n \"def deployLambdaFunctionFromS3(name:str, iamRoleARN:str, handler:str, bucket:str, object:str, version:str=None, runtime='python3.7') -> str:\\n client = boto3.client('lambda')\\n try:\\n code = {\\n 'S3Bucket': bucket,\\n 'S3Key': object,\\n }\\n if version:\\n code['S3ObjectVersion'] = version\\n response = client.create_function(\\n Role = iamRoleARN,\\n FunctionName = name,\\n Runtime = runtime,\\n Handler = handler,\\n Code = code\\n )\\n except ClientError as e:\\n raise LambdaDeploymentException(e)\\n if not 'FunctionArn' in response:\\n raise LambdaDeploymentException('\\\\\\\"FunctionArn\\\\\\\" is not contained in the response. ', repr(response))\\n return response['FunctionArn']\",\n \"def test4():\\n event = {\\n \\\"Records\\\": [\\n {\\n \\\"s3\\\": {\\n \\\"s3SchemaVersion\\\": \\\"1.0\\\",\\n \\\"configurationId\\\": \\\"b0efd5b1-cc92-47b4-8501-1c34f5eba235\\\",\\n \\\"bucket\\\": {\\n \\\"name\\\": \\\"/tmp/\\\"\\n },\\n \\\"object\\\": {\\n \\\"key\\\": \\\"tic000147203645/tic000147203645_s0001-1-1_stlc.fits\\\"\\n }\\n }\\n }\\n ]\\n}\\n context = {}\\n \\n out = lambda_handler(event, context)\\n \\n assert out[\\\"statusCode\\\"] == 200\",\n \"def create_function(self):\\n logger.info(\\\"Preparing stuf to create function\\\")\\n self.create_package('devel')\\n\\n self.upload_package()\\n\\n function_definition = self.get_function_configuration()\\n\\n # Set the first release Code block\\n function_definition['Code'] = {\\n 'S3Bucket': self.function_config['Code']['S3Bucket'],\\n 'S3Key': self.s3_filename,\\n }\\n\\n function_definition['Publish'] = True\\n\\n logger.info(\\\"Creating function\\\")\\n return self.aws_lambda.create_function(**function_definition)\",\n \"def lambda_handler(event, context):\\n # get the image data\\n if 'queryStringParameters' in event:\\n image = event['queryStringParameters']['base64image']\\n k = event['queryStringParameters']['k'] # number of similar images\\n\\n else:\\n image = event['base64image']\\n k = event['k'] # number of similar images\\n \\n # connect to elastic search\\n es = connect_to_ES(ES_ENDPOINT)\\n\\n # get the image features from the sagemaker endpoint\\n features = extract_features(image)\\n uris = search_es(es, features, k)\\n presigned_uris = create_presigned_url(uris, expiration=3600*24*2)\\n\\n return {\\n 'statusCode': 200,\\n 'headers':{'Content-Type':'application/json'},\\n 'body': json.dumps({'images': presigned_uris})\\n }\",\n \"def lambda_handler(event, context):\\n qpmBucket = event['queryStringParameters']['bucket']\\n fn_bucket = list_s3_objects(qpmBucket)\\n print(fn_bucket)\\n \\n \\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps(str(fn_bucket)),\\n }\",\n \"def test3():\\n event = {\\n \\\"Records\\\": [\\n {\\n \\\"s3\\\": {\\n \\\"s3SchemaVersion\\\": \\\"1.0\\\",\\n \\\"configurationId\\\": \\\"b0efd5b1-cc92-47b4-8501-1c34f5eba235\\\",\\n \\\"bucket\\\": {\\n \\\"name\\\": \\\"/tmp/\\\"\\n },\\n \\\"object\\\": {\\n \\\"key\\\": \\\"tic000129646247_s0001-1-1_stlc.fits\\\"\\n }\\n }\\n }\\n ]\\n}\\n context = {}\\n \\n out = lambda_handler(event, context)\\n \\n assert out[\\\"statusCode\\\"] == 200\",\n \"def fetch_config_from_s3(client):\\n try:\\n response = client.assume_role(\\n RoleArn=\\\"arn:aws:iam::548760365095:role/Ec2StartStopLambdaActionRole\\\",\\n RoleSessionName=\\\"Ec2-Start-Stop-Lambda-Session-Role\\\"\\n )\\n fetcher = boto3.client(\\n 's3',\\n aws_access_key_id=response['Credentials']['AccessKeyId'],\\n aws_secret_access_key=response['Credentials']['SecretAccessKey'],\\n aws_session_token=response['Credentials']['SessionToken']\\n )\\n return json_to_dict(fetcher)\\n except Exception as error:\\n logger.info(\\\"Creating a temporary S3 privileged user failed with the following error : {}\\\".format(error))\",\n \"def upload_to_s3():\\n\\n # get the json password file\\n pwd_file = open(PWD_FILE, mode='rb')\\n pwd_list = json.load(pwd_file) # calls read() on file object\\n\\n # only upload if json password file not empty\\n if len(pwd_list) > 0:\\n # reset file object to beginning\\n pwd_file.seek(0)\\n\\n # setup s3 connection\\n s3 = boto3.resource('s3', region_name=Config.connection['region_name'],\\n aws_access_key_id=Config.connection['aws_access_key'],\\n aws_secret_access_key=Config.connection['aws_secret_key'])\\n\\n s3_object_path = Config.s3['key_prefix'] + PWD_FILE\\n s3.Bucket(Config.s3['bucket_name']).put_object(Key=s3_object_path, Body=pwd_file)\",\n \"def store_to_s3():\\n\\n try:\\n # establish aws/s3 connection\\n s3 = boto3.client('s3',\\n aws_access_key_id=ACCESS_KEY,\\n aws_secret_access_key=SECRET_KEY\\n )\\n logger.info(\\\"S3 connection established!\\\")\\n except Exception as e:\\n logger.error('Fail to connect to aws s3. Please check your credentials!')\\n logger.error(e)\\n else:\\n try:\\n # upload local file to S3 bucket\\n logger.info(\\\"Uploading {} to {} bucket as {}\\\".format(config.Local_File_To_Upload,\\n config.Bucket_Name,\\n config.S3_Filename))\\n s3.upload_file(config.Local_File_To_Upload,\\n config.Bucket_Name,\\n config.S3_Filename)\\n logger.info('File successfully uploaded to S3 bucket!')\\n except FileNotFoundError:\\n logger.error('File not found, pleas check the file path.')\\n except Exception as e:\\n logger.error(e)\",\n \"def lambda_handler(event, context):\\n try:\\n if not _is_setup:\\n _setup()\\n\\n previous_attempts = event.get(\\\"Artifact\\\", dict(ReadAttempts=0))[\\\"ReadAttempts\\\"]\\n\\n manifest = _load_manifest(event[\\\"ResourceKey\\\"])\\n artifact_location = dict(S3Bucket=_bucket_name, S3Key=manifest[\\\"ArtifactS3Key\\\"])\\n artifact_exists = _artifact_exists(manifest[\\\"ArtifactS3Key\\\"])\\n\\n return dict(\\n Found=artifact_exists,\\n ReadAttempts=previous_attempts + 1,\\n Location=artifact_location,\\n ProjectName=manifest[\\\"ProjectName\\\"],\\n Runtimes=manifest[\\\"Runtimes\\\"],\\n )\\n except Exception:\\n # TODO: Turn these into known-cause state machine failures.\\n raise\",\n \"def lambda_handler(event, context):\\n logger.info(\\\"Setting up user...\\\")\\n if not user_exists():\\n setup_lambda_user()\\n else:\\n logger.info(\\\"The user exists aldeay, skipping step...\\\")\\n\\n logger.info(\\\"Import to database\\\")\\n for statement in body.decode(\\\"utf-8\\\").split(';'):\\n if len(statement.strip()) < 1:\\n continue\\n result = run_query(statement.strip())\\n logger.info(result)\\n\\n return True\",\n \"def lambda_handler(*_):\\n Log.info(\\\"Checking bucket %s\\\", S3_BUCKET)\\n Log.info(\\\"Output Key: %s\\\", S3_OUTPUT_KEY)\\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\\n filtered = s3index.filter_objects(objects)\\n by_date = s3index.order_objects(filtered)\\n template = s3index.template_from_string(TEMPLATE)\\n index = s3index.build_index(\\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\\n s3_client = boto3.client(\\\"s3\\\")\\n s3_client.put_object(\\n ACL=\\\"public-read\\\",\\n Body=index.encode(),\\n Bucket=S3_BUCKET,\\n Key=S3_OUTPUT_KEY,\\n ContentType=\\\"text/html\\\"\\n )\",\n \"def lambda_handler(event, context):\\n\\n if not event[\\\"body\\\"]:\\n return create_output(400, \\\"Invalid body: body is empty.\\\")\\n\\n try:\\n item = json.loads(event[\\\"body\\\"])\\n except json.JSONDecodeError:\\n return create_output(400, \\\"Invalid body: can't decode body.\\\")\\n\\n for key in iris_keys:\\n if key not in item:\\n return create_output(400, f\\\"Invalid body: missing key {key} in body.\\\")\\n try:\\n float(item[key])\\n except ValueError:\\n return create_output(400, f\\\"Invalid body: can't parse {key} to float.\\\")\\n\\n item[\\\"id\\\"] = create_hash(item)\\n\\n try:\\n table.put_item(Item=item)\\n except Exception as e:\\n logger.error(f\\\"Error, can't insert item: {e}\\\")\\n return create_output(500, \\\"Internal error: can't insert item in table.\\\")\\n\\n return create_output(200, \\\"Item created.\\\")\",\n \"def _make_user_data(registry, tag, region):\\n\\n base_format = \\\"\\\"\\\"MIME-Version: 1.0\\nContent-Type: multipart/mixed; boundary=\\\\\\\"==MYBOUNDARY==\\\\\\\"\\n\\n--==MYBOUNDARY==\\nContent-Type: text/cloud-config; charset=\\\\\\\"us-ascii\\\\\\\"\\n\\nruncmd:\\n\\n- sudo yum update -y\\n- sudo amazon-linux-extras install docker -y\\n- sudo service docker start\\n- sudo usermod -a -G docker ec2-user\\n- curl \\\"https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip\\\" -o \\\"awscliv2.zip\\\"\\n- unzip awscliv2.zip\\n- sudo ./aws/install\\n- ln -s /usr/bin/aws aws\\n- aws ecr get-login-password --region {region}|docker login --username AWS --password-stdin {registry}\\n- docker pull {tag}\\n- docker run -p {bentoservice_port}:{bentoservice_port} {tag}\\n\\n--==MYBOUNDARY==--\\n\\\"\\\"\\\".format( # noqa: E501\\n registry=registry, tag=tag, region=region, bentoservice_port=BENTOSERVICE_PORT\\n )\\n encoded = base64.b64encode(base_format.encode(\\\"ascii\\\")).decode(\\\"ascii\\\")\\n return encoded\",\n \"def __init__(self, scope: core.Construct, id: str,\\n ec2_tag_key: str,\\n ssm_document_name: str,\\n playbook_url: str,\\n playbook_file_name: str = None,\\n ec2_tag_value: str = None,\\n notification_key_filter_prefix: str = None,\\n notification_key_filter_suffix: str = None,\\n log_level: str = 'INFO',\\n **kwargs) -> None:\\n super().__init__(scope, id, **kwargs)\\n\\n def get_s3_bucket_name(self):\\n self.playbook_url = playbook_url\\n if playbook_url is not None:\\n splited_playbook_url = playbook_url.split(\\\"/\\\")\\n s3_bucket_name = splited_playbook_url[2]\\n else:\\n s3_bucket_name = None\\n return s3_bucket_name\\n\\n s3 = _s3.Bucket(\\n self, \\\"S3SsmRunCommandBucket\\\",\\n bucket_name=get_s3_bucket_name(self),\\n removal_policy=core.RemovalPolicy.RETAIN,\\n )\\n\\n if playbook_url is None:\\n playbook_url = f's3://{s3.bucket_name}/{playbook_file_name}'\\n\\n lambda_ssm = _lambda.Function(\\n self, \\\"S3TriggerHandler\\\",\\n runtime=_lambda.Runtime.PYTHON_3_7,\\n code=_lambda.Code.asset('lambda_ssm'),\\n handler=\\\"ansible_run_command.handler\\\",\\n environment={\\n \\\"LOGLEVEL\\\": f'{log_level}',\\n \\\"EC2_TAG_KEY\\\": f'{ec2_tag_key}',\\n \\\"EC2_TAG_VALUE\\\": f'{ec2_tag_value}',\\n \\\"PLAYBOOK_URL\\\": f'{playbook_url}',\\n \\\"SSM_DOCUMENT_NAME\\\": f'{ssm_document_name}'\\n }\\n )\\n\\n lambda_ssm.add_to_role_policy(\\n statement=_iam.PolicyStatement(\\n effect=_iam.Effect.ALLOW,\\n actions=[\\n \\\"ssm:DescribeAssociation\\\",\\n \\\"ssm:GetDeployablePatchSnapshotForInstance\\\",\\n \\\"ssm:GetDocument\\\",\\n \\\"ssm:DescribeDocument\\\",\\n \\\"ssm:GetManifest\\\",\\n \\\"ssm:GetParameter\\\",\\n \\\"ssm:GetParameters\\\",\\n \\\"ssm:ListAssociations\\\",\\n \\\"ssm:ListInstanceAssociations\\\",\\n \\\"ssm:PutInventory\\\",\\n \\\"ssm:PutComplianceItems\\\",\\n \\\"ssm:PutConfigurePackageResult\\\",\\n \\\"ssm:SendCommand\\\",\\n \\\"ssm:UpdateAssociationStatus\\\",\\n \\\"ssm:UpdateInstanceAssociationStatus\\\",\\n \\\"ssm:UpdateInstanceInformation\\\",\\n \\\"ssmmessages:CreateControlChannel\\\",\\n \\\"ssmmessages:CreateDataChannel\\\",\\n \\\"ssmmessages:OpenControlChannel\\\",\\n \\\"ssmmessages:OpenDataChannel\\\",\\n \\\"ec2:DescribeInstances\\\",\\n \\\"ec2messages:AcknowledgeMessage\\\",\\n \\\"ec2messages:DeleteMessage\\\",\\n \\\"ec2messages:FailMessage\\\",\\n \\\"ec2messages:GetEndpoint\\\",\\n \\\"ec2messages:GetMessages\\\",\\n \\\"ec2messages:SendReply\\\",\\n ],\\n resources=[\\\"*\\\"],\\n )\\n )\\n\\n s3.grant_read(lambda_ssm)\\n\\n notification = _s3_notifications.LambdaDestination(lambda_ssm)\\n\\n if notification_key_filter_prefix or notification_key_filter_suffix is not None:\\n if notification_key_filter_prefix is None:\\n filers = _s3.NotificationKeyFilter(\\n suffix=notification_key_filter_suffix,\\n )\\n elif notification_key_filter_suffix is None:\\n filers = _s3.NotificationKeyFilter(\\n prefix=notification_key_filter_prefix,\\n )\\n else:\\n filers = _s3.NotificationKeyFilter(\\n prefix=notification_key_filter_prefix,\\n suffix=notification_key_filter_suffix,\\n )\\n\\n s3.add_event_notification(_s3.EventType.OBJECT_CREATED,\\n notification,\\n filers,\\n )\\n else:\\n s3.add_event_notification(_s3.EventType.OBJECT_CREATED,\\n notification,\\n )\\n\\n cloudwatch_event = _events.Rule(\\n self, \\\"CloudWatchEvent\\\",\\n enabled=True,\\n event_pattern=_events.EventPattern(\\n source=[\\\"aws.ec2\\\"],\\n detail_type=[\\\"EC2 Instance State-change Notification\\\"],\\n detail={\\n \\\"state\\\": [\\\"running\\\"]\\n }\\n ),\\n targets=[_events_targets.LambdaFunction(lambda_ssm)]\\n )\\n\\n s3_bucket_path = core.CfnOutput(\\n self, \\\"S3PlaybookPath\\\",\\n value=f's3://{s3.bucket_name}'\\n )\\n\\n s3_bucket_console_url = core.CfnOutput(\\n self, \\\"S3ConsoleUrl\\\",\\n value=f's3.console.aws.amazon.com/s3/buckets/{s3.bucket_name}'\\n )\",\n \"def upload_data_to_s3(data: dict, bucket_name: str, object_key: str) -> None:\\n uploader = S3Uploader(bucket_name)\\n with tempfile.NamedTemporaryFile(mode=\\\"w+\\\") as local_file:\\n json.dump(data, local_file, cls=FancyJsonEncoder, indent=\\\" \\\", sort_keys=True)\\n local_file.write(\\\"\\\\n\\\")\\n local_file.flush()\\n uploader(local_file.name, object_key)\",\n \"def lambda_handler(event, context):\\n # EOL char append function\\n encode_data = lambda x: \\\"{data}{eol}\\\".format(data=json.dumps(x), eol=chr(10)).encode(\\\"UTF-8\\\")\\n \\n # Punk API call\\n try:\\n logger.debug(\\\"Requesting api: {api}\\\".format(api=os.environ[\\\"API_URL\\\"]))\\n request = r.get(os.environ[\\\"API_URL\\\"])\\n except Exception as e:\\n logger.error(\\\"An error occured while requesting api: {api}\\\".format(api=os.environ[\\\"API_URL\\\"]))\\n raise e\\n \\n # Send records to kinesis stream\\n logger.debug(\\\"Sending data to stream: {stream}\\\".format(stream=os.environ[\\\"STREAM_NAME\\\"]))\\n for data in request.json():\\n client.put_record(\\n StreamName=os.environ[\\\"STREAM_NAME\\\"],\\n Data=encode_data(data),\\n PartitionKey=\\\"key\\\"\\n )\\n\\n return {\\n 'statusCode': request.status_code,\\n 'body': data\\n }\",\n \"def save_config(config):\\n\\n LOGGER.info(f\\\"Writing config to bucket {BUCKET} with key {CONFIG_S3_KEY}.\\\") \\n save_json(BUCKET, CONFIG_S3_KEY, config)\",\n \"def invoke_lambda(bucket, body_id):\\n payload = {\\\"body_id\\\": body_id}\\n if \\\"prod\\\" not in bucket:\\n payload[\\\"bucket\\\"] = bucket\\n response = LAMBDA_CLIENT.invoke(FunctionName=\\\"create_ppp_body_thumbnails\\\",\\n InvocationType=\\\"Event\\\",\\n Payload=json.dumps(payload))\\n if ARG.DEBUG:\\n pprint.pprint(response, indent=4)\\n COUNT[\\\"Submitted\\\" if response[\\\"StatusCode\\\"] == 202 else \\\"Submit error\\\"] += 1\\n if \\\"Payload\\\" in response:\\n LOGGER.debug(response['Payload'].read().decode(\\\"utf-8\\\"))\",\n \"def upload_package(self, filename=None):\\n logger.info(\\\"Uploading the package to S3\\\")\\n s3f = S3FunctionUploader(self.function_config['Code']['S3Bucket'])\\n self.s3_filename = path.join(\\n self.function_config['Code']['S3KeyPath'],\\n path.basename(filename or self.local_filename)\\n )\\n s3f.upload(filename or self.local_filename,\\n self.s3_filename)\",\n \"async def get_or_create_temporary_s3_access(user_id: UserID):\",\n \"def lambda_handler(event, context):\\n # Boto is always available in AWS lambda, but may not be available in standalone mode\\n# import boto3\\n# from base64 import b64decode\\n\\n # To generate the encrypted values, go to AWS IAM Keys and Generate a key\\n # Then grant decryption using the key to the IAM Role used for your lambda function.\\n #\\n # Use the command `aws kms encrypt --key-id alias/<key-alias> --plaintext <value-to-encrypt>\\n # Put the encrypted value in the configuration dictionary below\\n# encrypted_config = {\\n# 'pagerduty_api_key': '<ENCRYPTED VALUE>',\\n# 'schedule_ids': '<ENCRYPTED VALUE>'\\n# }\\n\\n# kms = boto3.client('kms')\\n# config = {x: kms.decrypt(CiphertextBlob=b64decode(y))['Plaintext'] for x, y in encrypted_config.iteritems()}\\n on_call = OnCall(API_KEY, SCHEDULE_IDS)\\n output = on_call.run()\\n\\n return { \\\"response_type\\\": \\\"in_channel\\\", \\\"text\\\": '\\\\n'.join(output) }\",\n \"def s3(ctx, bucket_name, data_file, region):\\n ctx.obj['BUCKET_NAME'] = bucket_name\\n ctx.obj['DATA_FILE'] = data_file\\n ctx.obj['TYPE'] = 's3'\\n ctx.obj['REGION'] = region\",\n \"def lambda_handler(event, context):\\r\\n print(\\\"Function triggered\\\")\\r\\n if 'local' == environ.get('APP_STAGE'):\\r\\n dynamodb = boto3.resource('dynamodb', endpoint_url='http://localhost:8000')\\r\\n table = dynamodb.Table(\\\"audiobooksDB\\\")\\r\\n else:\\r\\n dynamodb = boto3.resource('dynamodb')\\r\\n table = dynamodb.Table(environ[\\\"TABLE_NAME\\\"])\\r\\n s3 = boto3.client('s3')\\r\\n \\r\\n s3FileName = event['Records'][0]['s3']['object']['key'].replace(\\\"+\\\", \\\" \\\")\\r\\n bucketName = event['Records'][0]['s3']['bucket']['name']\\r\\n # Download file from the S3 bucket\\r\\n try:\\r\\n book = s3.get_object(Bucket=bucketName, Key=s3FileName)\\r\\n print(\\\"Loading file from S3 bucket\\\")\\r\\n bookContent = book[\\\"Body\\\"].read().decode(\\\"utf-8\\\", errors=\\\"ignore\\\").split(\\\"------ END METADATA --------\\\")\\r\\n metadata = json.loads(bookContent[0])\\r\\n bookContent = bookContent[1]\\r\\n # Polly accepts 100,000 chars at a time. We make chunks of 99990 because we put the part 1 maker in\\r\\n bookContent = [bookContent[i:i+99990] for i in range(0, len(bookContent), 99990)]\\r\\n except Exception as e:\\r\\n print(\\\"Error while downloading file \\\" + s3FileName + \\\"from the S3 bucket \\\" + bucketName)\\r\\n raise\\r\\n # Add part marker to book\\r\\n if len(bookContent) > 1:\\r\\n count = 0\\r\\n for chunk in bookContent:\\r\\n chunk += \\\"Part \\\" + str(count)\\r\\n hasShortPart = False\\r\\n audioURLs = []\\r\\n pollyClient = boto3.client('polly')\\r\\n for chunk in bookContent:\\r\\n try:\\r\\n chunk = convert_text_to_ssml(chunk)\\r\\n print(\\\"Asking Polly to record the current chunk\\\")\\r\\n response = pollyClient.start_speech_synthesis_task(\\r\\n Engine='standard',\\r\\n LanguageCode='en-GB',\\r\\n OutputFormat='mp3',\\r\\n OutputS3BucketName=environ['AUDIO_S3_BUCKET'],\\r\\n Text=chunk,\\r\\n TextType='ssml',\\r\\n VoiceId='Brian',\\r\\n SnsTopicArn=environ[\\\"SNS_TOPIC\\\"],\\r\\n )\\r\\n\\r\\n audioURLs.append(response[\\\"SynthesisTask\\\"][\\\"OutputUri\\\"].split(\\\"amazonaws.com/\\\")[-1])\\r\\n if len(chunk) <= 2000:\\r\\n hasShortPart = True\\r\\n print(response)\\r\\n print(\\\"Polly was successfully asked to to record the current chunk\\\")\\r\\n except Exception as e:\\r\\n print(\\\"Error parsing chunk or requesting Polly to say it\\\")\\r\\n raise\\r\\n try:\\r\\n randomString = ''.join([random.choice(string.ascii_letters \\r\\n + string.digits) for n in range(32)]) \\r\\n audiobook = {\\r\\n \\\"id\\\": randomString,\\r\\n \\\"bookName\\\": metadata[\\\"bookName\\\"],\\r\\n \\\"imageURL\\\": metadata[\\\"imageURL\\\"],\\r\\n \\\"authorName\\\":metadata[\\\"authorName\\\"],\\r\\n \\\"genres\\\": metadata[\\\"genres\\\"],\\r\\n \\\"audioURLs\\\": audioURLs,\\r\\n \\\"description\\\": metadata[\\\"description\\\"],\\r\\n \\\"hidden\\\": False,\\r\\n \\\"hasShortPart\\\": hasShortPart,\\r\\n \\\"addedAt\\\": Decimal(datetime.now().timestamp())\\r\\n }\\r\\n response = table.put_item(\\r\\n Item=audiobook\\r\\n )\\r\\n except Exception as e:\\r\\n print(\\\"Exception inserting into database\\\")\\r\\n print(audiobook)\\r\\n print(response)\\r\\n raise\\r\\n return {\\r\\n \\\"statusCode\\\": 200,\\r\\n \\\"body\\\": json.dumps({\\r\\n \\\"message\\\": audioURLs\\r\\n }),\\r\\n }\",\n \"def lambda_handler(event: Dict[str, Any], context: Any) -> str:\\n print(\\\"Received event: \\\" + json.dumps(event, indent=2))\\n\\n migrated_ami_id: str = event[\\\"migrated_ami_id\\\"]\\n kms_id: str = event[\\\"kms_id\\\"]\\n region: str = event.get(\\\"region\\\", os.environ.get(\\\"AWS_REGION\\\"))\\n role: str = event.get(\\\"role\\\")\\n instance_name: str = event.get(\\\"name\\\", \\\"\\\")\\n\\n sts_client = boto3.client(\\\"sts\\\")\\n\\n print(f\\\"Assuming role: {role}\\\")\\n assumed_role: Dict[str, Any] = sts_client.assume_role(RoleArn=role, RoleSessionName=\\\"CopyImageLambda\\\")\\n\\n credentials = assumed_role.get(\\\"Credentials\\\")\\n\\n ec2_client = boto3.client(\\n \\\"ec2\\\",\\n region_name=region,\\n aws_access_key_id=credentials[\\\"AccessKeyId\\\"],\\n aws_secret_access_key=credentials[\\\"SecretAccessKey\\\"],\\n aws_session_token=credentials[\\\"SessionToken\\\"],\\n )\\n\\n try:\\n new_image: Dict[str, Any] = ec2_client.copy_image(\\n SourceImageId=migrated_ami_id,\\n SourceRegion=region,\\n Name=f\\\"copied-{migrated_ami_id}\\\",\\n Encrypted=True,\\n KmsKeyId=kms_id,\\n )\\n except Exception as e:\\n print(e)\\n return \\\"\\\"\\n\\n MigrationStateHandler().update_state(state=\\\"IMAGE_COPYING\\\", machine_name=instance_name)\\n return new_image.get(\\\"ImageId\\\", \\\"\\\")\",\n \"def lambda_handler(event, context):\\n # Environmental Variables\\n CATALOG_BRANCHES_TABLE = anejocommon.set_env_var('CATALOG_BRANCHES_TABLE')\\n PRODUCT_INFO_TABLE = anejocommon.set_env_var('PRODUCT_INFO_TABLE')\\n S3_BUCKET = anejocommon.set_env_var('S3_BUCKET')\\n\\n # Loop through event records\\n try:\\n event_records = event['Records']\\n except KeyError:\\n event_records = [{'body': event}]\\n\\n for record in event_records:\\n try:\\n catalog_sync_info = json.loads(record['body'])\\n except TypeError:\\n catalog_sync_info = record['body']\\n\\n # Event Variables\\n catalog_url = catalog_sync_info['catalog_url']\\n\\n apple_bucket_catalog_path = anejocommon.get_path_from_url(\\n catalog_url,\\n 'html',\\n append_to_path='.apple'\\n )\\n \\n catalog = anejocommon.retrieve_url(catalog_url)\\n try:\\n catalog_plist = plistlib.readPlistFromBytes(catalog.data)\\n except plistlib.InvalidFileException:\\n print(\\\"ERROR: Cannot read catalog plist\\\")\\n return\\n\\n # Write our local (filtered) catalogs\\n anejocommon.write_local_catalogs(\\n apple_bucket_catalog_path,\\n catalog_plist,\\n S3_BUCKET,\\n CATALOG_BRANCHES_TABLE,\\n PRODUCT_INFO_TABLE\\n )\",\n \"def save_file_aws(obj, file_path, aws_credentials):\\n bucket_engine = S3Bucket(*aws_credentials)\\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\\n bucket_engine.write(file_path, data)\",\n \"def lambda_handler(event, context):\\n\\n # return {\\n # \\\"statusCode\\\": 200,\\n # \\\"body\\\": json.dumps(\\n # {\\n # \\\"message\\\": \\\"hello world\\\",\\n # }\\n # ),\\n # }\\n src_bytes = base64.b64decode(event[\\\"body\\\"])\\n src = cv2.imdecode(np.frombuffer(src_bytes, dtype=np.uint8), cv2.IMREAD_COLOR)\\n gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)\\n _, gray_bytes = cv2.imencode(\\\".jpg\\\", gray)\\n\\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps(base64.b64encode(gray_bytes).decode(\\\"UTF-8\\\")),\\n }\",\n \"def glue_process_handler(event, context) -> None:\\n s3_bucket_name = \\\"\\\"\\n incoming_file = \\\"\\\"\\n inbound_folder = \\\"\\\"\\n glue_job = boto3.client(\\\"glue\\\")\\n\\n logger.debug(\\\"## ENVIRONMENT VARIABLES: %s\\\", os.environ)\\n logger.debug(\\\"## EVENT: %s\\\", event)\\n\\n try:\\n logger.debug(\\\" Entering in to Try Block\\\")\\n (s3_bucket_name, s3_file) = get_file_from_s3_trigger(event)\\n if s3_bucket_name is None or s3_file is None:\\n logger.error(\\\"Exiting. Could not retrieve a file name from event: %r\\\", event)\\n return\\n\\n inbound_folder = os.path.dirname(s3_file)\\n incoming_file = s3_file\\n logger.info(\\n \\\"From Try Block : s3_bucket_name = %s, incoming_file = %s\\\",\\n s3_bucket_name,\\n incoming_file,\\n )\\n except:\\n # when your approach is to run lambda manually and not through s3 trigger event, this will be helpful.\\n # Currently below hardcoded variables are not defined in function, but while unit testing you can do so if you wish and test.\\n s3_bucket_name = os.environ[\\\"INBOUND_BUCKET_NAME\\\"]\\n inbound_folder = os.environ[\\\"INBOUND_FOLDER\\\"]\\n incoming_file = get_first_file_path(s3_bucket_name, inbound_folder)\\n logger.error(\\n \\\"From Exception Block : s3_bucket_name = %s, incoming_file = %s, inbound_folder = %s\\\",\\n s3_bucket_name,\\n incoming_file,\\n inbound_folder,\\n )\\n\\n if len(incoming_file) == 0 or None: # handle None output (incoming file= '') from event\\n logger.error(\\n \\\"In S3 Bucket : %s, there is a no file to process in the inbound folder : %s , program will EXIT now..\\\",\\n s3_bucket_name,\\n inbound_folder,\\n )\\n return\\n\\n result = make_arguments_from_database(incoming_file, s3_bucket_name)\\n\\n if result is not None:\\n job_args = result[0]\\n # earlier it was an environment variable in lambda but now retrived from database\\n glue_job_name = result[1]\\n logger.info(\\\"Calling Glue Job:: %s, with arguments %r\\\", glue_job_name, job_args)\\n\\n response = \\\"\\\"\\n\\n try:\\n response = glue_job.start_job_run(JobName=glue_job_name, Arguments=job_args)\\n except ParamValidationError:\\n pass\\n\\n if \\\"JobRunId\\\" in response:\\n jobId = response[\\\"JobRunId\\\"]\\n logger.info(\\\"%s job run with id %s\\\", glue_job_name, response[\\\"JobRunId\\\"])\\n _ = glue_job.get_job_run(JobName=glue_job_name, RunId=jobId)\",\n \"def _s3_destination(self, pipeline_builder):\\n s3_destination = pipeline_builder.add_stage('Amazon S3', type='destination')\\n s3_destination.set_attributes(bucket=self.environments['aws'].s3_bucket_name,\\n common_prefix='destination_data',\\n partition_prefix=get_random_string(string.ascii_letters, 10),\\n data_format=self.destination_format,\\n header_line='WITH_HEADER',\\n delimiter_format='CUSTOM',\\n delimiter_character=DATASETS[self.dataset]['delimiter'])\\n return s3_destination, pipeline_builder\",\n \"def upload_fileobj(Fileobj=None, Bucket=None, Key=None, ExtraArgs=None, Callback=None, Config=None):\\n pass\",\n \"def lambda_handler(event, context):\\n for item in json.loads(event[\\\"Records\\\"][0][\\\"body\\\"]):\\n item[\\\"id\\\"] = uuid.uuid1().bytes\\n for key, value in item.items():\\n if key == \\\"id\\\":\\n item[key] = {\\\"B\\\": bytes(value)}\\n elif key == \\\"fiscal_year\\\":\\n item[key] = {\\\"N\\\": str(value)}\\n elif key == \\\"emissions_mtco2e\\\":\\n item[key] = {\\\"N\\\": str(value)}\\n elif key == \\\"consumption\\\":\\n item[key] = {\\\"N\\\": str(value)}\\n else:\\n item[key] = {\\\"S\\\": str(value)}\\n\\n time.sleep(0.001)\\n\\n dynamo.put_item(TableName=\\\"Greenhouse_gas_emissions\\\", Item=dict(item))\",\n \"def store_provider_data(self, region: str, data):\\n return s3client.upload_file_from_variable(data, self.provider_name() + \\\"/\\\" + region + \\\"/\\\" +\\n datetime.datetime.utcnow().isoformat() + \\\".json\\\")\",\n \"def _work(self, payload):\\n pdf_path = payload['pdf_path']\\n jpeg_prefixes = payload['jpeg_prefixes']\\n\\n webhook_url = payload['webhook_url']\\n webhook_data = payload['webhook_data']\\n\\n page_start = payload['page_start']\\n page_end = payload['page_end']\\n\\n self._log('Connecting to s3')\\n connection, bucket = self._connect_to_s3(payload['s3'])\\n\\n # create batches of pages to convert\\n for batch_first_page in range(page_start, page_end + 1, self.PAGES_PER_BATCH):\\n batch_last_page = min(batch_first_page + self.PAGES_PER_BATCH - 1, page_end)\\n batch_pages = range(batch_first_page, batch_last_page + 1)\\n\\n batch_jpeg_prefixes = jpeg_prefixes[batch_first_page - page_start:\\n batch_last_page + 1 - page_start]\\n self._convert_batch(bucket, pdf_path, batch_pages, batch_jpeg_prefixes,\\n webhook_url, webhook_data)\",\n \"def test_generic(key,bucket):\\n event = {\\n \\\"Records\\\": [\\n {\\n \\\"s3\\\": {\\n \\\"s3SchemaVersion\\\": \\\"1.0\\\",\\n \\\"configurationId\\\": \\\"b0efd5b1-cc92-47b4-8501-1c34f5eba235\\\",\\n \\\"bucket\\\": {\\n \\\"name\\\": bucket\\n },\\n \\\"object\\\": {\\n \\\"key\\\": key\\n }\\n }\\n }\\n ]\\n}\\n context = {}\\n \\n out = lambda_handler(event, context)\\n print(out)\\n assert out[\\\"statusCode\\\"] == 200\",\n \"def handler(kinesis_records, context):\\n data = kinesis_records[0].parse()\\n detail = data.get('detail')\\n return publish({\\n \\\"eventSource\\\": data['source'],\\n \\\"awsRegion\\\": data['region'],\\n \\\"eventTime\\\": data['time'],\\n \\\"eventName\\\": detail['eventName'],\\n \\\"userIdentity\\\": {\\n \\\"principalId\\\": detail['userIdentity']['principalId']\\n },\\n \\\"requestParameters\\\": {\\n \\\"sourceIPAddress\\\": detail['sourceIPAddress']\\n },\\n \\\"s3\\\": {\\n \\\"s3SchemaVersion\\\": \\\"1.0\\\",\\n \\\"bucket\\\": {\\n \\\"name\\\": detail['requestParameters']['bucketName'],\\n \\\"arn\\\": detail['resources'][1]['ARN']\\n },\\n \\\"object\\\": {\\n \\\"key\\\": detail['requestParameters']['key'],\\n \\\"size\\\": detail['additionalEventData']['bytesTransferredIn']\\n }\\n }\\n })\",\n \"def upload_bucket_samples():\\n if not Config.region:\\n logger.error(\\\"You must specify a region in order to scan a bucket target\\\")\\n raise SystemExit(\\n \\\"Target region not specified. Use -r or --region to specify the target region.\\\"\\n )\\n # Connect to S3 in our target region\\n s_3 = boto3.resource(\\\"s3\\\", region_name=Config.region)\\n # Connect to our target bucket\\n bucket = s_3.Bucket(Config.target_dir)\\n # Retrieve a list of all objects in the bucket\\n summaries = bucket.objects.all()\\n # Inform the user as this may take a minute\\n logger.info(\\\"Assembling volume from target bucket (%s) for submission\\\", Config.target_dir)\\n # Loop through our list of files, downloading each to memory then upload them to the Sandbox\\n for item in summaries:\\n # Grab the file name from the path\\n filename = os.path.basename(item.key)\\n # Teensy bit of witch-doctor magic to download the file\\n # straight into the payload used for our upload to the Sandbox\\n response = Samples.upload_sample(file_name=filename,\\n file_data=io.BytesIO(\\n bucket.Object(key=item.key).get()[\\\"Body\\\"].read()\\n )\\n )\\n # Retrieve our uploaded file SHA256 identifier\\n sha = response[\\\"body\\\"][\\\"resources\\\"][0][\\\"sha256\\\"]\\n # Add this SHA256 to the upload payload element\\n Analyzer.uploaded.append(sha)\\n # Track the upload so we recognize the file when we're done\\n Analyzer.files.append([filename, item.key, sha])\\n # Inform the user of our progress\\n logger.debug(\\\"Uploaded %s to %s\\\", filename, sha)\",\n \"def lambda_handler(event, context):\\n LOGGER.debug(\\n \\\"Processing event: %s\\\",\\n json.dumps(event, indent=2)\\n if LOGGER.isEnabledFor(logging.DEBUG)\\n else \\\"--data-hidden--\\\",\\n )\\n sfn_client = boto3.client(\\\"stepfunctions\\\")\\n s3_resource = boto3.resource(\\\"s3\\\")\\n\\n all_accounts = get_all_accounts()\\n account_file = get_file_from_s3(get_details_from_event(event), s3_resource)\\n\\n processed_account_list = process_account_list(\\n all_accounts=all_accounts,\\n accounts_in_file=account_file.get(\\\"content\\\", {}).get(\\\"accounts\\\", []),\\n )\\n\\n if processed_account_list:\\n start_executions(\\n sfn_client,\\n processed_account_list,\\n codepipeline_execution_id=account_file.get(\\\"execution_id\\\"),\\n request_id=context.aws_request_id,\\n )\\n return event\",\n \"def lambda_handler(event, context):\\n try:\\n day = datetime.datetime.now().weekday()\\n\\n fetcher = assume_role()\\n config = fetch_config_from_s3(fetcher)\\n print config\\n\\n if is_weekday(day, config['schedule']['halfDay']):\\n client = assume_role()\\n for role_arn in config['role_arns']:\\n account_number = role_arn.split(\\\":\\\")[4]\\n ec2_user = create_temp_user(client, role_arn)\\n\\n start_up_time, stop_time, now, tz = convert_to_datetime(config['times'])\\n logger.info(\\\"Lambda started for account : {}\\\".format(config['account_names'][account_number]))\\n start_stop(now, start_up_time, stop_time, ec2_user, config, tz)\\n else:\\n logger.info(\\\"I do not operate on weekends.\\\")\\n except Exception as error:\\n logger.info(\\\"Lambda failed to run with the following error : {}\\\".format(error))\",\n \"def lambda_handler(event, context):\\n\\n LOGGER.debug(\\\"Lambda invoked\\\")\\n log_environment_variables()\\n\\n\\n # 1) Initialize\\n # Setup required AWS infrastructure\\n create_infrastructure()\\n\\n # If configuration exists, retrieve from S3 - otherwise create a new one\\n config = get_config()\\n LOGGER.info(f\\\"config loaded: {config}\\\")\\n\\n # If previously_valid_urls exists, retrieve from S3, otherwise create a blank one\\n previously_valid_urls = get_previously_valid_urls()\\n LOGGER.info(f\\\"previously_valid_urls loaded: {list(previously_valid_urls)}\\\")\\n\\n\\n # 2) Retrieve URL data\\n # Generate URLs\\n end_value_inclusive = config[\\\"start_value\\\"] + config[\\\"look_ahead\\\"] + 1\\n requests = [{\\\"url\\\": config[\\\"url\\\"] % value, \\\"value\\\": value} for value in\\n range(config[\\\"start_value\\\"], end_value_inclusive)]\\n LOGGER.info(f\\\"Requesting values in range {config['start_value']} -> {end_value_inclusive} (inclusive)\\\")\\n LOGGER.info(f\\\"First URL to request: {requests[0]['url'] if requests else 'None'}\\\")\\n LOGGER.info(f\\\"Last URL to request: {requests[-1]['url'] if requests else 'None'}\\\")\\n\\n # Get all responses\\n responses = get_responses(requests)\\n\\n # Create a list of requests that responded with status code 200\\n valid_urls = [{\\\"url\\\": response[\\\"url\\\"], \\\"value\\\": response[\\\"value\\\"]} for response in responses\\n if response[\\\"response\\\"].status == 200]\\n\\n\\n # 3) Process URL data\\n # Check valid_urls against previously_valid_urls and add to new_valid_urls\\n new_valid_urls = []\\n for valid_url in valid_urls:\\n if valid_url[\\\"url\\\"] not in previously_valid_urls:\\n LOGGER.debug(f\\\"New valid URL found: {valid_url['url']}\\\")\\n new_valid_urls.append(valid_url)\\n\\n\\n # 4) Send alerts based upon processed URL data\\n # Send emails for new_valid_urls\\n if new_valid_urls:\\n LOGGER.info(\\\"New URLs found, sending email.\\\")\\n send_email(config[\\\"from_email\\\"], config[\\\"to_email\\\"], config[\\\"email_subject\\\"],\\n generate_email_body(new_valid_urls))\\n\\n # Once emails have sent (and threw no exception), update start_value if slide_window is True\\n if config[\\\"slide_window\\\"]:\\n greatest_valid_value = new_valid_urls[-1]['value']\\n\\n new_start_value = greatest_valid_value + 1\\n LOGGER.info(f\\\"Updating start value from {config['start_value']} to {new_start_value}\\\")\\n config[\\\"start_value\\\"] = new_start_value\\n\\n\\n # 5) Save state\\n # Save previously_valid_urls as list of just URL strings, no metadata is needed\\n save_previously_valid_urls([valid_url[\\\"url\\\"] for valid_url in valid_urls])\\n\\n save_config(config)\\n\\n\\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps({\\n \\\"all_valid_urls\\\": valid_urls,\\n \\\"new_valid_urls\\\": new_valid_urls,\\n }),\\n }\",\n \"def s3_store_data(self):\\n\\n USERHOMEDIR = os.path.expanduser('~')\\n TESTFILEPATH = \\\"%s/3MBFILE\\\" % USERHOMEDIR\\n if not os.path.exists(TESTFILEPATH):\\n with open(TESTFILEPATH, \\\"wb\\\") as out:\\n out.truncate(1024 * 1024 * 3)\\n self.k.set_contents_from_filename(TESTFILEPATH)\",\n \"def make_arguments_from_database(\\n s3_inbound_file: str, s3_bucket_name: str\\n) -> (Dict[str, str], str):\\n # 'secret_name' is the only existing environment variable for lambda function\\n secret_name = os.environ[\\\"SECRET_NAME\\\"]\\n\\n incoming_file_name = s3_inbound_file.split(\\\"/\\\")[-1]\\n logger.info(f\\\"incoming_file: %s\\\", incoming_file_name)\\n # gets full string before 3rd '_' character in incoming file and checks if any name_pattern exists in db\\n incoming_file_name_pattern = get_file_name_pattern(incoming_file_name)\\n logger.info(f\\\"incoming_file_name_pattern: %s\\\", incoming_file_name_pattern)\\n\\n client_file: ClientFile = ClientFileRepo(secret_name=secret_name).get_client_file_from_name_pattern(incoming_file_name_pattern)\\n logger.info(f\\\"client_file : %s\\\", client_file)\\n\\n if client_file is not None:\\n logger.info(\\n \\\"incoming file name '%s' matches with file name pattern '%s' in client files table \\\",\\n incoming_file_name,\\n client_file.name_pattern,\\n )\\n\\n job_args = {\\n # preparing arguments for glue job 'irxah_process_incoming_<client_name>_file'\\n \\\"--SECRET_NAME\\\": os.environ[\\\"SECRET_NAME\\\"], # for connecting db (retrieved as lambda environment variable)\\n \\\"--S3_FILE\\\": s3_inbound_file, # file_name with path (retrieved from s3 trigger event)\\n \\\"--S3_FILE_BUCKET\\\": s3_bucket_name, # s3_bucket_name (retrieved from s3 trigger event)\\n \\\"--CLIENT_FILE_ID\\\": str(client_file.client_file_id), # unique id of client file (retrieved from db)\\n # we are passing a dummy job key as generation of standard file (GILA) from custom file (BCBAZ) will not have a unique unzip key.\\n # by this, we are avoiding 'irxah_process_incoming_file' glue job failure\\n \\\"--UNZIP_JOB_DETAIL_KEY\\\": \\\"0\\\",\\n }\\n\\n glue_job_name = client_file.glue_job_name\\n\\n return job_args, glue_job_name\\n\\n logger.info(\\n \\\"Incoming file '%s' name doesn't match with any of the expected file name pattern in db. \\\"\\n \\\"Hence, it will not be processed further. It remains as is in 'inbound/txtfiles' folder.\\\",\\n incoming_file_name,\\n )\\n return None\",\n \"def save_metadata(self, acl='public-read'):\\n bucket_name = app.config['S3_BUCKET_NAME']\\n s3_client = app.config['S3']\\n key = self.build_s3_key('datapackage.json')\\n s3_client.put_object(Bucket=bucket_name, Key=key,\\n Body=self.body, ACL=acl)\",\n \"def _s3_stash(self):\\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\\n bucketpath = BUCKET.strip(\\\"/\\\")\\n bucketbase = BUCKET.split(\\\"/\\\")[0]\\n parts = urlparse.urlsplit(s3_url)\\n mimetype = 'application/xml' \\n \\n conn = boto.connect_s3()\\n\\n try:\\n bucket = conn.get_bucket(bucketbase)\\n except boto.exception.S3ResponseError:\\n bucket = conn.create_bucket(bucketbase)\\n self.logger.info(\\\"Created S3 bucket {}\\\".format(bucketbase))\\n\\n if not(bucket.get_key(parts.path)):\\n key = bucket.new_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"created {0}\\\".format(s3_url)\\n self.logger.info(msg)\\n else:\\n key = bucket.get_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"re-uploaded {}\\\".format(s3_url)\\n self.logger.info(msg)\",\n \"def upload(jsonfiles):\\n # clear S3 Bucket\\n bucket = S3Bucket()\\n bucket.clear()\\n for jsonfile in jsonfiles:\\n filename = os.path.basename(jsonfile)\\n key = build_key(filename)\\n logging.info(\\\"%s %s\\\", filename, key)\\n # store json in S3 object\\n bucket.store(key, jsonfile)\",\n \"def ingest(self):\\n datetime_retrieved = datetime.now()\\n prefix = self.prefix_template.format(**self.feed, year=datetime_retrieved.strftime('%Y'), month=datetime_retrieved.strftime('%m'))\\n fp = self.generate_fp(\\n template='{feedname}_{datetime_retrieved}',\\n feedname=self.feed['feedname'],\\n datetime_retrieved=datetime_retrieved\\n )\\n\\n url_to_request = self.url_dict[(self.feed['state'],self.feed['feedname'])]\\n try:\\n r = requests.get(url_to_request)\\n if r.status_code == 200:\\n data_to_write = r.content\\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\\n self.print_func('Raw data ingested from {} to {} at {} UTC'.format(url_to_request, prefix+fp, datetime_retrieved))\\n else:\\n self.print_func('Received status code {} from {} feed.'.format(r.status_code,self.feed['feedname']))\\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))\\n return\\n except BaseException as e:\\n data_to_write = f'The feed at {datetime_retrieved.isoformat()}.'.encode('utf-8')\\n fp += '__FEED_NOT_RETRIEVED'\\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\\n self.print_func('We could not ingest data from {} at {} UTC'.format(url_to_request, datetime_retrieved))\\n raise e\\n\\n # trigger semi-parse ingest\\n if self.feed['pipedtosandbox'] == True:\\n self.print_func('Trigger {} for {}'.format(self.lambda_to_trigger, self.feed['feedname']))\\n lambda_client = self.s3helper.session.client('lambda')\\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\\n response = lambda_client.invoke(\\n FunctionName=self.lambda_to_trigger,\\n InvocationType='Event',\\n LogType='Tail',\\n ClientContext='',\\n Payload=json.dumps(data_to_send).encode('utf-8')\\n )\\n self.print_func(response)\\n else:\\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\\n\\n # trigger ingest to socrata\\n if self.feed['pipedtosocrata'] == True:\\n self.print_func('Trigger {} for {}'.format(self.socrata_lambda_to_trigger, self.feed['feedname']))\\n lambda_client = self.s3helper.session.client('lambda')\\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\\n response = lambda_client.invoke(\\n FunctionName=self.socrata_lambda_to_trigger,\\n InvocationType='Event',\\n LogType='Tail',\\n ClientContext='',\\n Payload=json.dumps(data_to_send).encode('utf-8')\\n )\\n self.print_func(response)\\n else:\\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))\",\n \"def create_bucket(request: Dict) -> Dict:\\n global config\\n\\n body = {\\n \\\"user_name\\\": request.get(\\\"user_name\\\"),\\n \\\"prefix\\\": request.get(\\\"bucket_name\\\")[0:5],\\n \\\"bucket_name\\\": request.get(\\\"bucket_name\\\"),\\n \\\"region\\\": request.get(\\\"region\\\")\\n }\\n\\n response = requests.post(url=config.api_url('bucket'),\\n data=json.dumps(body),\\n headers={'content-type': 'application/json'})\\n\\n if response.status_code == HTTPStatus.OK:\\n return response.json()\",\n \"def set_info_s3(self, config_on_json):\\n try:\\n if config_on_json:\\n if config_on_json.get(\\\"aws_access_key_id\\\") and config_on_json.get(\\\"aws_secret_access_key\\\") and config_on_json.get(\\\"use_ssl\\\") and config_on_json.get(\\\"endpoint_url\\\"):\\n config_on_json[\\\"profile_name\\\"] = \\\"json_config\\\"\\n return config_on_json\\n else:\\n config_default_dict = {\\n \\\"profile_name\\\": \\\"default\\\",\\n \\\"aws_access_key_id\\\": self.config.get('s3', 'aws_access_key_id'),\\n \\\"aws_secret_access_key\\\": self.config.get('s3', 'aws_secret_access_key'),\\n \\\"use_ssl\\\": self.config.get('s3', 'use_ssl'),\\n \\\"endpoint_url\\\": self.config.get('s3', 'endpoint_url'),\\n }\\n return config_default_dict\\n except:\\n constant.get_error(constant.ERROR_004)\",\n \"def lambda_handler(*_):\\n\\n # Boto is always available in AWS lambda, but may not be available in\\n # standalone mode\\n import boto3\\n\\n # To generate the encrypted values, go to AWS IAM Keys and Generate a key\\n # Then grant decryption using the key to the IAM Role used for your lambda\\n # function.\\n #\\n # Use the command `aws kms encrypt --key-id alias/<key-alias> --plaintext <value-to-encrypt>\\n # Put the encrypted value in the configuration dictionary below\\n encrypted_config = {\\n 'slack_token': '<ENCRYPTED VALUE>',\\n 'pager_duty_token': '<ENCRYPTED VALUE>'\\n 'pager_duty_domain_prefix': '<ENCRYPTED VALUE>'\\n }\\n\\n kms = boto3.client('kms')\\n config = {x: kms.decrypt(CiphertextBlob=b64decode(y))['Plaintext'] for x, y in encrypted_config.iteritems()}\\n return SlackOnCall(**config).run()\",\n \"def handler(event, context=None):\\n LOGGER.info(event)\\n result = {'status':'400', 'messages':'Error'}\\n bucket = event[\\\"Records\\\"][0][\\\"s3\\\"][\\\"bucket\\\"][\\\"name\\\"]\\n key = unquote_plus(event[\\\"Records\\\"][0][\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"].encode(\\\"utf8\\\"))\\n obj = S3.get_object(Bucket=bucket, Key=key)\\n document_file = (key, BytesIO(obj[\\\"Body\\\"].read()))\\n lendi_document_id = obj[\\\"Metadata\\\"][\\\"lendi_document_id\\\"]\\n master_document_id = obj[\\\"Metadata\\\"][\\\"master_document_id\\\"]\\n workflow_id = get_workflow_id(master_document_id)\\n if workflow_id:\\n xtracta_response = upload_document_to_xtracta(workflow_id, document_file)\\n else:\\n logging.error(\\\"No workflow_id for master_document_id: %s\\\", master_document_id)\\n return result\\n if xtracta_response['status'] == '200':\\n insert_document(xtracta_response['document_id'], lendi_document_id,\\\\\\n workflow_id, 'preprocessing')\\n else:\\n logging.error(\\\"No xtracta_document_id for %s\\\", xtracta_response['message'])\\n return xtracta_response\\n return xtracta_response\",\n \"def upload_from_path_to_s3(file_path):\\n bucket_name = \\\"alp-reports-lambda\\\"\\n environment = \\\"dev\\\" if os.environ.get('LOCAL') else \\\"prod\\\"\\n object_key = f\\\"{environment}/835/{file_path.split('/')[-1]}\\\"\\n\\n s3 = boto3.resource('s3')\\n s3.Object(bucket_name, object_key).upload_file(file_path, ExtraArgs={'ACL': 'public-read'})\\n\\n return f\\\"https://s3.amazonaws.com/{bucket_name}/{object_key}\\\"\",\n \"def structure_payload(user_settings=None, login=None, email=None, password=None, first_name=None, last_name=None,\\n biography=None, sso_id=None, web_page_url=None, cover_image=None):\\n payload_mapping = {\\n 'type': 'user',\\n 'biography': biography,\\n 'cover_image': cover_image,\\n 'email': email,\\n 'first_name': first_name,\\n 'last_name': last_name,\\n 'login': login,\\n 'password': password,\\n 'sso_id': sso_id,\\n 'web_page_url': web_page_url\\n }\\n payload = {}\\n if user_settings:\\n payload.update(user_settings)\\n for field_name, field_value in payload_mapping.items():\\n if payload_mapping.get(field_name):\\n payload[field_name] = field_value\\n payload = {'data': payload}\\n return payload\",\n \"def __init__(self, bucket, feed=None, lambda_to_trigger=None,\\n socrata_lambda_to_trigger=None,\\n **kwargs):\\n super(WorkZoneRawSandbox, self).__init__(bucket, **kwargs)\\n self.prefix_template = 'state={state}/feedName={feedname}/year={year}/month={month}/'\\n self.feed = feed\\n self.lambda_to_trigger = lambda_to_trigger\\n self.socrata_lambda_to_trigger = socrata_lambda_to_trigger\\n self.url_dict = {}\\n self.read_urls()\\n # variables necessary to update last ingest time to Socrata WZDx feed registry\\n # this is currently done in the previous lambda function \\\"wzdx_trigger_ingest\\\".\\n # leaving the block below in case we move the step to this function\",\n \"def generate_pre_signed_post_object(self, path, md5,\\n acl='public-read',\\n file_type='binary/octet-stream'):\\n bucket_name = app.config['S3_BUCKET_NAME']\\n s3_client = app.config['S3']\\n key = self.build_s3_key(path)\\n post = s3_client.generate_presigned_post(Bucket=bucket_name,\\n Key=key,\\n Fields={\\n 'acl': acl,\\n 'Content-MD5': str(md5),\\n 'Content-Type': file_type},\\n Conditions=[\\n {\\\"acl\\\": \\\"public-read\\\"},\\n [\\\"starts-with\\\", \\\"$Content-Type\\\", \\\"\\\"],\\n [\\\"starts-with\\\", \\\"$Content-MD5\\\", \\\"\\\"]\\n ])\\n return post\",\n \"def upload_to_s3(file_path, config):\\n logging.info(\\\"Uploading file to S3 bucket: %s\\\", config['s3_bucket_name'])\\n s3 = boto3.resource('s3')\\n s3_filename = config['s3_bucket_path'] + config['rendered_filename']\\n s3.Bucket(config['s3_bucket_name']).upload_file(\\n file_path, s3_filename, ExtraArgs={\\n 'ContentType': 'text/html', 'ACL': 'public-read'})\",\n \"def _upload_file_to_aws(aws_upload_details):\\n # Step 1: get the request signed\\n sig_uri = aws_upload_details['signature']\\n\\n now = dt.datetime.utcnow()\\n expires = now + dt.timedelta(hours=1)\\n now_ts = timegm(now.timetuple())\\n key = 'data_imports/%s.%s' % (filename, now_ts)\\n\\n payload = {}\\n payload['expiration'] = expires.isoformat() + 'Z'\\n payload['conditions'] = [\\n {'bucket': aws_upload_details['aws_bucket_name']},\\n {'Content-Type': 'text/csv'},\\n {'acl': 'private'},\\n {'success_action_status': '200'},\\n {'key': key}\\n ]\\n\\n sig_result = requests.post(main_url + sig_uri,\\n headers=upload_header,\\n data=json.dumps(payload))\\n if sig_result.status_code != 200:\\n msg = \\\"Something went wrong with signing document.\\\"\\n raise RuntimeError(msg)\\n else:\\n sig_result = sig_result.json()\\n\\n # Step 2: upload the file to S3\\n upload_url = \\\"http://%s.s3.amazonaws.com/\\\" % (aws_upload_details['aws_bucket_name'])\\n\\n # s3 expects multipart form encoding with files at the end, so this\\n # payload needs to be a list of tuples; the requests library will encode\\n # it property if sent as the 'files' parameter.\\n s3_payload = [\\n ('key', key),\\n ('AWSAccessKeyId', aws_upload_details['aws_client_key']),\\n ('Content-Type', 'text/csv'),\\n ('success_action_status', '200'),\\n ('acl', 'private'),\\n ('policy', sig_result['policy']),\\n ('signature', sig_result['signature']),\\n ('file', (filename, open(upload_filepath, 'rb')))\\n ]\\n\\n result = requests.post(upload_url,\\n files=s3_payload)\\n\\n if result.status_code != 200:\\n msg = \\\"Something went wrong with the S3 upload: %s \\\" % result.reason\\n raise RuntimeError(msg)\\n\\n # Step 3: Notify SEED about the upload\\n completion_uri = aws_upload_details['upload_complete']\\n completion_payload = {\\n 'import_record': upload_dataset_id,\\n 'key': key,\\n 'source_type': upload_datatype\\n }\\n return requests.post(main_url + completion_uri,\\n headers=upload_header,\\n data=completion_payload)\",\n \"def run(self):\\n #To ADD\\n \\n # Get Access keys from command line \\n accessKey = self.accessKey\\n secretAccessKey = self.secretAccessKey\\n\\n try:\\n #Creating S3 Connection using Access and Secrect access key\\n conn = S3Connection(accessKey, secretAccessKey)\\n # Connecting to specified bucket\\n b = conn.get_bucket('case3')\\n #Initializing Key\\n k = Key(b)\\n #Uploading pickle and model performance files to S3 Bucket\\n onlyfiles = pd.read_csv(run_models().output().path)['0'].tolist()\\n for i in onlyfiles:\\n k.key = i\\n k.set_contents_from_filename(i)\\n k.set_acl('public-read')\\n except:\\n print(\\\"Amazon credentials or location is invalid\\\")\",\n \"def handler(event, context):\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\",\n \"def build_upload_dict(metadata, tags, project):\\n upload_args = {}\\n if metadata:\\n # format metadata keys as snake case\\n new_metadata = {}\\n\\n for md_key, md_val in metadata.items():\\n new_metadata[snake_case(md_key)] = md_val\\n\\n upload_args[\\\"metadata\\\"] = new_metadata\\n\\n if tags:\\n upload_args[\\\"tags\\\"] = tags\\n\\n if project:\\n upload_args[\\\"project\\\"] = getattr(project, \\\"id\\\", project)\\n\\n return upload_args\",\n \"def main():\\n # get arguments that are passes to the glue job\\n args = getResolvedOptions(sys.argv, ['source_bucket',\\n 'source_key',\\n 'destination_bucket',\\n 'destination_key'])\\n\\n print('args parsed : {}'.format(args))\\n\\n source_bucket = args[\\\"source_bucket\\\"]\\n source_key = args[\\\"source_key\\\"]\\n destination_bucket = args[\\\"destination_bucket\\\"]\\n destination_key = args[\\\"destination_key\\\"]\\n\\n # get zip file from s3\\n s3_object = boto3.resource('s3')\\\\\\n .Object(bucket_name=source_bucket, key=source_key)\\n zip_file_byte_object = io.BytesIO(\\n s3_object.get()[\\\"Body\\\"].read())\\n zip_file = zipfile.ZipFile(zip_file_byte_object)\\n name_list = zip_file.namelist()\\n ret_val = []\\n\\n # unzip the zip file and write contents to s3\\n for email_path in name_list:\\n print('processing email path {}'.format(email_path))\\n email = zip_file.open(email_path)\\n email_byte_object = io.BytesIO(email.read())\\n full_destination_key = destination_key + email_path\\n print('uploading object to {}'.format(full_destination_key))\\n boto3.client('s3').upload_fileobj(email_byte_object,\\n destination_bucket,\\n full_destination_key)\\n email.close()\\n ret_val.append(full_destination_key)\\n\\n print('stopped unzip')\\n return ret_val\",\n \"def lambda_handler(event, context):\\n import urllib.request\\n import json\\n\\n allowed_domain = \\\"brianandkelly.ws\\\"\\n\\n # print(event)\\n # Get the user info from Google for the recieved token...\\n id_token = event['authorizationToken']\\n google_token_helper_uri = \\\"https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=\\\" + id_token\\n\\n result = json.loads(urllib.request.urlopen(google_token_helper_uri).read())\\n\\n domain = result['hd']\\n user = result['sub']\\n effect = 'Deny'\\n\\n if domain == allowed_domain:\\n effect = 'Allow'\\n \\n print(\\\"Access request for user: \\\" + result['email'] + \\\" with effect: \\\" + effect + \\\" processed.\\\")\\n\\n respond = {\\n \\\"principalId\\\": user,\\n \\\"policyDocument\\\": {\\n \\\"Version\\\": \\\"2012-10-17\\\",\\n \\\"Statement\\\": [\\n {\\n \\\"Action\\\": \\\"execute-api:Invoke\\\",\\n \\\"Effect\\\": effect,\\n \\\"Resource\\\": \\\"arn:aws:execute-api:us-east-1:*:7k8o0sgjli/securityvideos/*\\\"\\n }\\n ]\\n }\\n }\\n\\n return respond\",\n \"def uploaded(event, context):\\n dt = datetime.utcnow()\\n # NOTE: the event might include multiple records\\n for r in event['Records']:\\n file_id = r['s3']['object']['key']\\n file = {\\n 'id': file_id,\\n 'size': r['s3']['object']['size'],\\n 'type': get_s3_file_type(file_id),\\n 'uploaded_at': dt,\\n }\\n if runtime_context.STORE:\\n file['stored_at'] = dt\\n FileModel.update(file)\\n LOGGER.debug('Files item updated (uploaded). service=ddb method=update_item id={}'.format(file_id))\\n return {\\n \\\"statusCode\\\": 200\\n }\",\n \"def lambda_handler(event, context):\\n\\n # receive parameters\\n file_id = event['file_id']\\n fbid = event['fbid']\\n\\n # validate params\\n if not file_id:\\n return helpers._error('file_id was not provided')\\n if not fbid or len(fbid) == 0:\\n return helpers._error('facebook id was not provided')\\n\\n # check the user\\n userObj = helpers.getUser(fbid)\\n if userObj == False:\\n return helpers._error('cannot find the user')\\n\\n userId = userObj['id']\\n\\n # check if the file already exists\\n file = db.dbRow('SELECT id FROM files WHERE id = %s AND user_id = %s',\\n file_id, userId\\n )\\n if not file:\\n return helpers._error('file not found')\\n\\n # insert new file to the DB\\n db.dbExec('DELETE FROM files WHERE id = %s', file_id)\\n db.dbExec('DELETE FROM files_versions WHERE file_id = %s', file_id)\\n\\n return helpers._success()\",\n \"def resize_and_upload(input, output, width, height):\\n image = PIL.Image.open(input)\\n if image.mode == \\\"CMYK\\\":\\n image = image.convert(\\\"RGB\\\")\\n if height:\\n if height > image.size[1]:\\n width = int(image.size[0] * (width / height))\\n height = image.size[1]\\n elif width > image.size[0]:\\n height = int(image.size[1] * (height / width))\\n width = image.size[0]\\n # crop\\n new_image = PIL.ImageOps.fit(\\n image,\\n (height, width),\\n PIL.Image.ANTIALIAS\\n )\\n else:\\n # if a bigger size of the original is asked, use original image\\n if width > image.size[0]:\\n new_image = image\\n else:\\n wpercent = (width / float(image.size[0]))\\n height = int((float(image.size[1]) * float(wpercent)))\\n new_image = image.resize((width, height), PIL.Image.ANTIALIAS)\\n\\n out_img = io.BytesIO()\\n new_image.save(out_img, 'PNG')\\n out_img.seek(0)\\n uploaded = s3.Bucket(settings.AWS_STORAGE_BUCKET_NAME).put_object(\\n ACL='public-read',\\n Key=os.path.join(output, uuid.uuid4().hex + '.png'),\\n Body=out_img,\\n ContentDisposition='inline',\\n ContentType='image/png',\\n )\\n if hasattr(settings, 'AWS_S3_CUSTOM_DOMAIN') and settings.AWS_S3_CUSTOM_DOMAIN:\\n host = 'https://{}'.format(settings.AWS_S3_CUSTOM_DOMAIN)\\n else:\\n host = 'https://s3.{}.amazonaws.com/{}'.format(\\n settings.AWS_S3_REGION_NAME,\\n settings.AWS_STORAGE_BUCKET_NAME\\n )\\n return {\\n 'href': '{}/{}'.format(\\n host,\\n uploaded.key,\\n ),\\n 'width': new_image.size[0],\\n 'height': new_image.size[1],\\n }\",\n \"def build_payload(self, **kwargs):\\n\\n return None\",\n \"def upload(env):\\n if not env:\\n click.echo(\\\"Environment must be specified\\\")\\n click.Abort()\\n\\n with open(\\\"zappa_settings.json\\\", \\\"r\\\") as f:\\n settings = json.load(f)\\n\\n if not settings:\\n click.echo(\\\"Settings not loaded\\\")\\n click.Abort()\\n return\\n\\n try:\\n s3_bucket = settings[env][\\\"s3_bucket\\\"]\\n aws_region = settings[env][\\\"aws_region\\\"]\\n except AttributeError:\\n click.echo(\\\"Failed to get details from settings\\\")\\n click.Abort()\\n return\\n\\n session = boto3.Session()\\n credentials = session.get_credentials()\\n current_credentials = credentials.get_frozen_credentials()\\n\\n app.config[\\\"FLASKS3_FORCE_MIMETYPE\\\"] = True\\n\\n try:\\n css_assets.build()\\n\\n flask_s3.create_all(\\n app,\\n user=current_credentials.access_key,\\n password=current_credentials.secret_key,\\n bucket_name=s3_bucket,\\n location=aws_region,\\n put_bucket_acl=False,\\n )\\n click.echo(\\n f\\\"Uploaded assets to Bucket https://{s3_bucket}.s3.{aws_region}.amazonaws.com\\\"\\n )\\n except Exception as e:\\n click.echo(f\\\"Failed to upload assets: {e}\\\")\",\n \"def create_sam_bucket():\\n local(f\\\"aws s3 mb s3://{env.bucket_name} --region {env.aws_region}\\\")\",\n \"def customization_data(client=None):\\n\\n # This import data contains:\\n # Function inputs:\\n # execution_arn\\n # lambda_function_name\\n # lambda_payload\\n # msg_body\\n # phone_numbers\\n # state_machine_async\\n # state_machine_name\\n # state_machine_payload\\n # Message Destinations:\\n # fn_aws_utilities\\n # Functions:\\n # fn_get_step_function_execution\\n # fn_invoke_lambda\\n # fn_invoke_step_function\\n # fn_send_sms_via_sns\\n # Workflows:\\n # example_invoke_aws_lambda_python_addition\\n # example_invoke_step_function_asynchronous\\n # example_invoke_step_function_synchronous\\n # example_send_sms_incident\\n # Rules:\\n # Example: Invoke AWS Lambda: Python Addition\\n # Example: Invoke Step Function: Asynchronous\\n # Example: Invoke Step Function: Synchronous\\n # Example: Send SMS: Incident\\n # Example: Send SMS: Incident [Menu Item]\\n\\n\\n yield ImportDefinition(u\\\"\\\"\\\"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\\nOGJhY2E3LWNmYTItN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)\",\n \"def run(self):\\n self.compress(\\n self.__config.public_key(),\\n self.__config.input_dir(),\\n self.__config.output_dir(),\\n self.__config.suffix()\\n )\",\n \"def get_post_form_args(self):\\n if self.folder.type != 's3':\\n self.folder.raise_user_error('not_s3_bucket')\\n\\n if not self.folder.s3_allow_large_uploads:\\n self.folder.raise_user_error('folder_not_for_large_uploads')\\n\\n conn = self.folder.get_s3_connection()\\n res = conn.build_post_form_args(\\n config.get('nereid_s3', 'bucket'),\\n self.get_s3_key('s3_key'),\\n http_method='https',\\n expires_in=self.folder.s3_upload_form_ttl,\\n )\\n return res\",\n \"def create_json_redshift_firehose_from_stream(stack,\\n name,\\n firehose_arn,\\n source_stream_arn,\\n source_stream_role_arn,\\n redshift_cluster_jdbc_url_param,\\n redshift_username,\\n redshift_password,\\n redshift_db_table_name,\\n log_group_name,\\n redshift_log_stream,\\n s3_log_stream,\\n s3_bucket_arn,\\n s3_kms_key_arn,\\n s3_role_arn,\\n s3_buffering_seconds=300,\\n s3_buffering_size=5,\\n s3_compression_format='GZIP'):\\n\\n return stack.stack.add_resource(\\n DeliveryStream(\\n '{0}Firehose'.format(name.replace('-', '')),\\n DeliveryStreamName=name,\\n DeliveryStreamType='KinesisStreamAsSource',\\n KinesisStreamSourceConfiguration=KinesisStreamSourceConfiguration(\\n KinesisStreamARN=source_stream_arn,\\n RoleARN=source_stream_role_arn),\\n RedshiftDestinationConfiguration=RedshiftDestinationConfiguration(\\n CloudWatchLoggingOptions=CloudWatchLoggingOptions(\\n Enabled=True,\\n LogGroupName=log_group_name,\\n LogStreamName=redshift_log_stream),\\n ClusterJDBCURL=redshift_cluster_jdbc_url_param,\\n CopyCommand=CopyCommand(\\n CopyOptions='JSON \\\\'auto\\\\' ' + s3_compression_format,\\n DataTableName=redshift_db_table_name,\\n ),\\n Password=redshift_password,\\n RoleARN=firehose_arn,\\n S3Configuration=S3Configuration(\\n BucketARN=s3_bucket_arn,\\n Prefix=name,\\n BufferingHints=BufferingHints(\\n IntervalInSeconds=s3_buffering_seconds,\\n SizeInMBs=s3_buffering_size),\\n CompressionFormat=s3_compression_format,\\n EncryptionConfiguration=EncryptionConfiguration(\\n KMSEncryptionConfig=KMSEncryptionConfig(\\n AWSKMSKeyARN=s3_kms_key_arn)),\\n CloudWatchLoggingOptions=CloudWatchLoggingOptions(\\n Enabled=True,\\n LogGroupName=log_group_name,\\n LogStreamName=s3_log_stream),\\n RoleARN=s3_role_arn),\\n Username=redshift_username)))\",\n \"def init_multipart_upload(key, expires_in=None):\\n try:\\n bucket = flask.current_app.config[\\\"DATA_UPLOAD_BUCKET\\\"]\\n except KeyError:\\n raise InternalError(\\n \\\"fence not configured with data upload bucket; can't create signed URL\\\"\\n )\\n s3_url = \\\"s3://{}/{}\\\".format(bucket, key)\\n return S3IndexedFileLocation(s3_url).init_multipart_upload(expires_in)\",\n \"def json_to_dict(s3_user):\\n try:\\n s3_config = s3_user.get_object(Bucket=\\\"hermes-sharedservices-data\\\", Key=\\\"Lambdas/start-stop/config.json\\\")['Body'].read()\\n logger.info('Fetching config file..')\\n return ast.literal_eval(s3_config)\\n except Exception as error:\\n logger.info(\\\"Reading the config from S3 failed with the following error : {}\\\".format(error))\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.6304564\",\n \"0.5891823\",\n \"0.5874758\",\n \"0.58452857\",\n \"0.5809447\",\n \"0.57816947\",\n \"0.5765443\",\n \"0.5632585\",\n \"0.5528838\",\n \"0.5456213\",\n \"0.5450615\",\n \"0.5446997\",\n \"0.5378688\",\n \"0.536596\",\n \"0.53648275\",\n \"0.53620404\",\n \"0.53596246\",\n \"0.535553\",\n \"0.5320906\",\n \"0.53192997\",\n \"0.5315513\",\n \"0.5292476\",\n \"0.52788\",\n \"0.5244789\",\n \"0.5244451\",\n \"0.524061\",\n \"0.5238035\",\n \"0.5226627\",\n \"0.5215639\",\n \"0.519493\",\n \"0.5192814\",\n \"0.5180028\",\n \"0.5172683\",\n \"0.5164035\",\n \"0.5148925\",\n \"0.5146346\",\n \"0.5131834\",\n \"0.51275116\",\n \"0.5118223\",\n \"0.510589\",\n \"0.51003414\",\n \"0.50985664\",\n \"0.5085733\",\n \"0.5085716\",\n \"0.5084748\",\n \"0.5082179\",\n \"0.50814265\",\n \"0.50658846\",\n \"0.5056907\",\n \"0.50544554\",\n \"0.50515646\",\n \"0.5049581\",\n \"0.50352603\",\n \"0.50194126\",\n \"0.5011746\",\n \"0.499609\",\n \"0.49947134\",\n \"0.49870887\",\n \"0.4986478\",\n \"0.49776793\",\n \"0.49692598\",\n \"0.49472764\",\n \"0.49441552\",\n \"0.49341115\",\n \"0.49317837\",\n \"0.49207297\",\n \"0.4909789\",\n \"0.49029887\",\n \"0.48999816\",\n \"0.48943615\",\n \"0.48862538\",\n \"0.48861715\",\n \"0.48740545\",\n \"0.48729286\",\n \"0.486759\",\n \"0.4865132\",\n \"0.48582697\",\n \"0.48338604\",\n \"0.4828128\",\n \"0.48230734\",\n \"0.48212618\",\n \"0.4818035\",\n \"0.48024473\",\n \"0.4796347\",\n \"0.47932848\",\n \"0.47881418\",\n \"0.47871187\",\n \"0.47839764\",\n \"0.47805956\",\n \"0.4770643\",\n \"0.47682884\",\n \"0.47643843\",\n \"0.47522298\",\n \"0.47515938\",\n \"0.47501215\",\n \"0.47470513\",\n \"0.4739738\",\n \"0.47367632\",\n \"0.473137\",\n \"0.47246712\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.53822446"},"document_rank":{"kind":"string","value":"12"}}},{"rowIdx":91292,"cells":{"query":{"kind":"string","value":"Return the appropriate region to use when uploading functions. Select the appropriate region for the bucket where lambdas are uploaded in."},"document":{"kind":"string","value":"def select_bucket_region(\n custom_bucket: Optional[str],\n hook_region: Optional[str],\n cfngin_bucket_region: Optional[str],\n provider_region: str,\n) -> str:\n region = None\n region = hook_region if custom_bucket else cfngin_bucket_region\n return region or provider_region"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def function_region(self) -> str:\n return pulumi.get(self, \"function_region\")","def load_aws_region_name() -> str:\n session = boto3.session.Session()\n region_name = (\n click.get_current_context().params.get(\"region\") or session.region_name\n )\n return region_name","def region(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"region\")","def get_admin_bucket_name ( location = None, region_name = None ) :\n if region_name :\n location = get_s3_location( region_to_location_map[ region_name ] )\n\n if not location or len( location ) < 1 :\n location = 'us-standard'\n\n return 'admin.mse-esp.com-' + location","def get_region(self):\n return self.creds.get('region_name')","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"region\")","def get_bucket_location(Bucket=None):\n pass","def bucket_regional_domain_name(self) -> str:\n ...","def region(self):\n return self.config.region","def default_zone(self, region):\n if region == 'us-east-1':\n return region + 'b'\n else:\n return region + 'a'","def endpoint_group_region(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"endpoint_group_region\")","def region(self) -> Optional[str]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[str]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[str]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[str]:\n return pulumi.get(self, \"region\")","def region(self) -> str:\n return pulumi.get(self, \"region\")","def region(self) -> str:\n return pulumi.get(self, \"region\")","def region(self) -> str:\n return pulumi.get(self, \"region\")","def region(self) -> str:\n return pulumi.get(self, \"region\")","def region(self) -> str:\n return pulumi.get(self, \"region\")","def region(self) -> str:\n return pulumi.get(self, \"region\")","def vpc_region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"vpc_region\")","def vpc_region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"vpc_region\")","def get_aws_domain(region: str):\n if region.startswith(\"cn-\"):\n return \"amazonaws.com.cn\"\n elif region.startswith(\"us-iso-\"):\n return \"c2s.ic.gov\"\n elif region.startswith(\"us-isob-\"):\n return \"sc2s.sgov.gov\"\n else:\n return \"amazonaws.com\"","def endpoint_group_region(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"endpoint_group_region\")","def region(self):\n return self._get(\"region\")","def _get_available_regions():\n session = boto3.session.Session()\n\n return session.get_available_regions(service_name='s3')","def region(self) -> Optional[pulumi.Input[Union[str, 'Region']]]:\n return pulumi.get(self, \"region\")","def region(self) -> Optional[pulumi.Input[Union[str, 'Region']]]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"region\")","def vpc_region(self) -> Optional[str]:\n return pulumi.get(self, \"vpc_region\")","def region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"region\")","def region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"region\")","def get_default_region_name():\n if os.path.isfile(AWS_CONFIG_FILE):\n boto.config.load_credential_file(AWS_CONFIG_FILE)\n\n if boto.config.get('default', 'region'):\n return boto.config.get('default', 'region')\n else:\n return None\n return None","def inspect_bucket_region(bucket, s3_endpoint, allow_public=False):\n region = None\n s3_endpoint_parts = urlparse.urlparse(s3_endpoint)\n # Use a \"path-style\" S3 URL here to avoid failing TLS certificate validation\n # on buckets with a dot in the name.\n #\n # According to the following blog post, before deprecating path-style\n # URLs AWS will provide a way for virtual-hosted-style URLs to handle\n # buckets with dots in their names. Using path-style URLs here in\n # the meantime seems reasonable, compared to alternatives like forcing\n # HTTP or ignoring certificate validation.\n #\n # https://aws.amazon.com/blogs/aws/amazon-s3-path-deprecation-plan-the-rest-of-the-story/\n bucket_endpoint = f'https://{s3_endpoint_parts.netloc}/{bucket}'\n request = Request(bucket_endpoint, method='HEAD')\n try:\n # For private buckets the head request will always raise an\n # http error, the status code and response headers provide\n # context for where the bucket is. For public buckets we\n # default to raising an exception as unsuitable location at\n # least for the output use case.\n #\n # Dynamic use of urllib trips up static analyzers because of\n # the potential to accidentally allow unexpected schemes like\n # file:/. Here we're hardcoding the https scheme, so we can\n # ignore those specific checks.\n #\n # nosemgrep: python.lang.security.audit.dynamic-urllib-use-detected.dynamic-urllib-use-detected # noqa\n response = url_socket_retry(urlopen, request) # nosec B310\n # Successful response indicates a public accessible bucket in the same region\n region = response.headers.get('x-amz-bucket-region')\n\n if not allow_public:\n raise ValueError(\"bucket: '{bucket}' is publicly accessible\")\n except HTTPError as err:\n # Returns 404 'Not Found' for buckets that don't exist\n if err.status == 404:\n raise ValueError(f\"bucket '{bucket}' does not exist\")\n # Permission errors (403) or redirects (301) for valid buckets\n # should still contain a header we can use to determine the\n # bucket region. Permission errors are indicative of correct\n # region, while redirects are for cross region.\n region = err.headers.get('x-amz-bucket-region')\n\n return region","def destination_region(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"destination_region\")","def vpc_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"vpc_region\")","def bucket_regional_domain_name(self) -> str:\n return jsii.get(self, \"bucketRegionalDomainName\")","def bucket_regional_domain_name(self) -> str:\n return jsii.get(self, \"bucketRegionalDomainName\")","def get_region_name(profile):\n if os.path.isfile(AWS_CREDENTIALS_FILE):\n boto.config.load_credential_file(AWS_CREDENTIALS_FILE)\n\n if boto.config.get(profile, 'region'):\n return boto.config.get(profile, 'region')\n else:\n return None\n return None","def endpoint_group_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"endpoint_group_region\")","def partition_from_region(region_name):\n\n parts = region_name.split('-')\n \n try:\n if parts[0] == 'us' and parts[1] == 'gov':\n return 'aws-us-gov'\n elif parts[0] == 'cn':\n return 'aws-cn'\n else:\n return 'aws'\n except:\n return","def region(self):\n # type: () -> string_types\n return self._region","def regional_client(config):\n try:\n # get the loaded yaml file and extract \"Region\" parameter to define cloudformation client\n region = config['Region']\n cfn = boto3.client('cloudformation', region_name=region)\n return cfn\n except botocore.exceptions.ClientError as e:\n return e","def bucket_regional_domain_name(self) -> typing.Optional[str]:\n return self._values.get('bucket_regional_domain_name')","def get_storage_location(self):\n return self.s3_bucket","def region(self) -> str:\n return self.__region","def region(self) -> typing.Optional[str]:\n return self._values.get(\"region\")","def upload_lambda_functions(context: CfnginContext, provider: Provider, **kwargs: Any):\n LOGGER.warning(\n \"%s is deprecated and will be removed in a future release - \"\n \"see documentation for replacement\",\n __name__,\n )\n # TODO add better handling for misconfiguration (e.g. forgetting function names)\n # TODO support defining dockerize_pip options at the top level of args\n custom_bucket = cast(str, kwargs.get(\"bucket\", \"\"))\n if not custom_bucket:\n if not context.bucket_name:\n raise ValueError(\"hook requires bucket argument or top-level cfngin_hook\")\n bucket_name = context.bucket_name\n LOGGER.info(\"using default bucket from CFNgin: %s\", bucket_name)\n else:\n bucket_name = custom_bucket\n LOGGER.info(\"using custom bucket: %s\", bucket_name)\n\n custom_bucket_region = cast(str, kwargs.get(\"bucket_region\", \"\"))\n if not custom_bucket and custom_bucket_region:\n raise ValueError(\"Cannot specify `bucket_region` without specifying `bucket`.\")\n\n bucket_region = select_bucket_region(\n custom_bucket,\n custom_bucket_region,\n context.config.cfngin_bucket_region,\n provider.region or \"us-east-1\",\n )\n\n # Check if we should walk / follow symlinks\n follow_symlinks = kwargs.get(\"follow_symlinks\", False)\n if not isinstance(follow_symlinks, bool):\n raise ValueError(\"follow_symlinks option must be a boolean\")\n\n # Check for S3 object acl. Valid values from:\n # https://docs.aws.amazon.com/AmazonS3/latest/dev/acl-overview.html#canned-acl\n payload_acl = cast(\"ObjectCannedACLType\", kwargs.get(\"payload_acl\", \"private\"))\n\n # Always use the global client for s3\n session = context.get_session(region=bucket_region)\n s3_client = session.client(\"s3\")\n\n ensure_s3_bucket(s3_client, bucket_name, bucket_region)\n\n prefix = kwargs.get(\"prefix\", \"\")\n\n results: Dict[str, Any] = {}\n for name, options in kwargs[\"functions\"].items():\n sys_path = (\n os.path.dirname(context.config_path)\n if os.path.isfile(context.config_path)\n else context.config_path\n )\n results[name] = _upload_function(\n s3_client,\n bucket_name,\n prefix,\n name,\n options,\n follow_symlinks,\n payload_acl,\n str(sys_path),\n work_dir=context.work_dir,\n )\n\n return results","def region(self):\n if self._region is None:\n cache_key = self.expand_name(\"region\")\n cached = unitdata.kv().get(cache_key)\n if cached:\n self._region = cached\n else:\n req = self._imdv2_request(self._az_url)\n with urlopen(req) as fd:\n az = fd.read(READ_BLOCK_SIZE).decode(\"utf8\")\n self._region = az.rstrip(string.ascii_lowercase)\n unitdata.kv().set(cache_key, self._region)\n return self._region","def _get_partition(region_name: str) -> str:\n\n if region_name.startswith(\"us-gov\"):\n return \"aws-us-gov\"\n\n return \"aws\"","def s3_bucket(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"s3_bucket\")","def get_s3_location ( loc_param ) :\n return eval( 'boto.s3.connection.Location.' + loc_param )","def _client(region: str = \"\") -> Any:\n region_name = region or os.environ.get(\"AWS_DEFAULT_REGION\", AWS_DEFAULT_REGION)\n return boto3.client(\"sqs\", region_name=region_name)","def geo_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"geo_region\")","def geo_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"geo_region\")","def get_region(self, region):\n\n return self.adapter.get_region(region) \n\n\n\n\n #file_compression = \"\"\n # magic_dict = {\n # b\"\\x1f\\x8b\\x08\": \"gz\",\n # b\"\\x42\\x5a\\x68\": \"bz2\",\n # b\"\\x50\\x4b\\x03\\x04\": \"zip\"\n # }\n # \n\n # max_len = max(len(x) for x in magic_dict)\n # with open(file_path, \"rb\") as f:\n # file_start = f.read(max_len)\n # for magic, filetype in magic_dict.items():\n # if file_start.startswith(magic):\n # file_compression = filetype\n # split_ext = file_path.split(\".\")\n # extension = split_ext[len(split_ext) -1]\n # if(file_compression == \"zip\"):\n # if extension != \"zip\":\n # subprocess.call(\"mv {} {}.zip\".format(file_path, file_path).split())\n # subprocess.call(\"unzip {} -d .\".format(file_path).split())\n # if(file_compression == \"bz2\"):\n # if extension != \"bz2\":\n # subprocess.call(\"mv {} {}.bz2\".format(file_path,file_path).split())\n # subprocess.call(\"bzip2 -df {}\".format(file_path).split())\n # if(file_compression == \"gz\"):\n # if extension != \"gz\":\n # subprocess.call(\"mv {} {}.gz\".format(file_path,file_path).split())\n # subprocess.call(\"gzip -df {}\".format(file_path).split())","def get_region(region):\n region = region.lower()\n if region in ['cena', 'ena', 'ceus', 'eus']:\n return 'cena'\n elif region in ['wna', 'wus']:\n return 'wna'\n else:\n raise NotImplementedError('No recognized region for: %s', region)","def bucket(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket\")","def bucket(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket\")","def bucket(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket\")","def bucket(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket\")","def bucket(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket\")","def get_bucket_cors(Bucket=None):\n pass","def bucket(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"bucket\")","def bucket(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"bucket\")","def lambda_handler(event, context):\n qpmBucket = event['queryStringParameters']['bucket']\n fn_bucket = list_s3_objects(qpmBucket)\n print(fn_bucket)\n \n \n return {\n \"statusCode\": 200,\n \"body\": json.dumps(str(fn_bucket)),\n }","def getregion(self, *args, **kwargs):\n return _image.image_getregion(self, *args, **kwargs)","def source_region_name(self) -> str:\n return self._source_region_name","def get_bucket():\n return FileBucket(os.path.join(context.site.data_path, 'buckets'))","def resolve_url_to_location(self, url):\n parsed_url = six.moves.urllib.parse.urlparse(url)\n if not parsed_url.scheme:\n parsed_url = six.moves.urllib.parse.urlparse('http://' + url)\n parsed_own_url = six.moves.urllib.parse.urlparse(self.endpoint)\n bucket, key = self.__match_path(parsed_url, parsed_own_url)\n if bucket:\n return self.region_name, bucket, key\n else:\n # Try to look it up in the config\n s3_urls = self.config.get_all_region_options('s3-url')\n for section, conf_url in s3_urls.items():\n parsed_conf_url = six.moves.urllib.parse.urlparse(conf_url)\n bucket, key = self.__match_path(parsed_url, parsed_conf_url)\n if bucket:\n region = self.config.get_region_option('name',\n region=section)\n return region or section, bucket, key\n raise ValueError(\"URL '{0}' matches no known object storage \"\n \"endpoints. Supply one via the command line or \"\n \"configuration.\".format(url))","def dataset_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"dataset_region\")","def get_sts_endpoint(region):\n return \"https://sts.{0}.{1}\".format(region, get_aws_domain(region))","def region(self):\n return self._region","def region(self):\n return self._region","def __get_region(self, region):\n\t\tif region is None:\n\t\t\tif self._default_region is not None:\n\t\t\t\treturn self._default_region\n\t\t\telse:\n\t\t\t\traise ValueError('No default region, must give explicitly')\n\t\telif region not in self._regions:\n\t\t\traise ValueError('Invalid region {0}'.format(repr(region)))\n\t\telse:\n\t\t\treturn region","def bucket_name(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket_name\")","def bucket_name(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket_name\")","def bucket_name(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket_name\")","def bucket_name(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket_name\")","def bucket_name(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"bucket_name\")","def region(cls):\n return cls.REGION"],"string":"[\n \"def function_region(self) -> str:\\n return pulumi.get(self, \\\"function_region\\\")\",\n \"def load_aws_region_name() -> str:\\n session = boto3.session.Session()\\n region_name = (\\n click.get_current_context().params.get(\\\"region\\\") or session.region_name\\n )\\n return region_name\",\n \"def region(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def get_admin_bucket_name ( location = None, region_name = None ) :\\n if region_name :\\n location = get_s3_location( region_to_location_map[ region_name ] )\\n\\n if not location or len( location ) < 1 :\\n location = 'us-standard'\\n\\n return 'admin.mse-esp.com-' + location\",\n \"def get_region(self):\\n return self.creds.get('region_name')\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def get_bucket_location(Bucket=None):\\n pass\",\n \"def bucket_regional_domain_name(self) -> str:\\n ...\",\n \"def region(self):\\n return self.config.region\",\n \"def default_zone(self, region):\\n if region == 'us-east-1':\\n return region + 'b'\\n else:\\n return region + 'a'\",\n \"def endpoint_group_region(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"endpoint_group_region\\\")\",\n \"def region(self) -> Optional[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def vpc_region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"vpc_region\\\")\",\n \"def vpc_region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"vpc_region\\\")\",\n \"def get_aws_domain(region: str):\\n if region.startswith(\\\"cn-\\\"):\\n return \\\"amazonaws.com.cn\\\"\\n elif region.startswith(\\\"us-iso-\\\"):\\n return \\\"c2s.ic.gov\\\"\\n elif region.startswith(\\\"us-isob-\\\"):\\n return \\\"sc2s.sgov.gov\\\"\\n else:\\n return \\\"amazonaws.com\\\"\",\n \"def endpoint_group_region(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"endpoint_group_region\\\")\",\n \"def region(self):\\n return self._get(\\\"region\\\")\",\n \"def _get_available_regions():\\n session = boto3.session.Session()\\n\\n return session.get_available_regions(service_name='s3')\",\n \"def region(self) -> Optional[pulumi.Input[Union[str, 'Region']]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> Optional[pulumi.Input[Union[str, 'Region']]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def vpc_region(self) -> Optional[str]:\\n return pulumi.get(self, \\\"vpc_region\\\")\",\n \"def region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"region\\\")\",\n \"def get_default_region_name():\\n if os.path.isfile(AWS_CONFIG_FILE):\\n boto.config.load_credential_file(AWS_CONFIG_FILE)\\n\\n if boto.config.get('default', 'region'):\\n return boto.config.get('default', 'region')\\n else:\\n return None\\n return None\",\n \"def inspect_bucket_region(bucket, s3_endpoint, allow_public=False):\\n region = None\\n s3_endpoint_parts = urlparse.urlparse(s3_endpoint)\\n # Use a \\\"path-style\\\" S3 URL here to avoid failing TLS certificate validation\\n # on buckets with a dot in the name.\\n #\\n # According to the following blog post, before deprecating path-style\\n # URLs AWS will provide a way for virtual-hosted-style URLs to handle\\n # buckets with dots in their names. Using path-style URLs here in\\n # the meantime seems reasonable, compared to alternatives like forcing\\n # HTTP or ignoring certificate validation.\\n #\\n # https://aws.amazon.com/blogs/aws/amazon-s3-path-deprecation-plan-the-rest-of-the-story/\\n bucket_endpoint = f'https://{s3_endpoint_parts.netloc}/{bucket}'\\n request = Request(bucket_endpoint, method='HEAD')\\n try:\\n # For private buckets the head request will always raise an\\n # http error, the status code and response headers provide\\n # context for where the bucket is. For public buckets we\\n # default to raising an exception as unsuitable location at\\n # least for the output use case.\\n #\\n # Dynamic use of urllib trips up static analyzers because of\\n # the potential to accidentally allow unexpected schemes like\\n # file:/. Here we're hardcoding the https scheme, so we can\\n # ignore those specific checks.\\n #\\n # nosemgrep: python.lang.security.audit.dynamic-urllib-use-detected.dynamic-urllib-use-detected # noqa\\n response = url_socket_retry(urlopen, request) # nosec B310\\n # Successful response indicates a public accessible bucket in the same region\\n region = response.headers.get('x-amz-bucket-region')\\n\\n if not allow_public:\\n raise ValueError(\\\"bucket: '{bucket}' is publicly accessible\\\")\\n except HTTPError as err:\\n # Returns 404 'Not Found' for buckets that don't exist\\n if err.status == 404:\\n raise ValueError(f\\\"bucket '{bucket}' does not exist\\\")\\n # Permission errors (403) or redirects (301) for valid buckets\\n # should still contain a header we can use to determine the\\n # bucket region. Permission errors are indicative of correct\\n # region, while redirects are for cross region.\\n region = err.headers.get('x-amz-bucket-region')\\n\\n return region\",\n \"def destination_region(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"destination_region\\\")\",\n \"def vpc_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"vpc_region\\\")\",\n \"def bucket_regional_domain_name(self) -> str:\\n return jsii.get(self, \\\"bucketRegionalDomainName\\\")\",\n \"def bucket_regional_domain_name(self) -> str:\\n return jsii.get(self, \\\"bucketRegionalDomainName\\\")\",\n \"def get_region_name(profile):\\n if os.path.isfile(AWS_CREDENTIALS_FILE):\\n boto.config.load_credential_file(AWS_CREDENTIALS_FILE)\\n\\n if boto.config.get(profile, 'region'):\\n return boto.config.get(profile, 'region')\\n else:\\n return None\\n return None\",\n \"def endpoint_group_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"endpoint_group_region\\\")\",\n \"def partition_from_region(region_name):\\n\\n parts = region_name.split('-')\\n \\n try:\\n if parts[0] == 'us' and parts[1] == 'gov':\\n return 'aws-us-gov'\\n elif parts[0] == 'cn':\\n return 'aws-cn'\\n else:\\n return 'aws'\\n except:\\n return\",\n \"def region(self):\\n # type: () -> string_types\\n return self._region\",\n \"def regional_client(config):\\n try:\\n # get the loaded yaml file and extract \\\"Region\\\" parameter to define cloudformation client\\n region = config['Region']\\n cfn = boto3.client('cloudformation', region_name=region)\\n return cfn\\n except botocore.exceptions.ClientError as e:\\n return e\",\n \"def bucket_regional_domain_name(self) -> typing.Optional[str]:\\n return self._values.get('bucket_regional_domain_name')\",\n \"def get_storage_location(self):\\n return self.s3_bucket\",\n \"def region(self) -> str:\\n return self.__region\",\n \"def region(self) -> typing.Optional[str]:\\n return self._values.get(\\\"region\\\")\",\n \"def upload_lambda_functions(context: CfnginContext, provider: Provider, **kwargs: Any):\\n LOGGER.warning(\\n \\\"%s is deprecated and will be removed in a future release - \\\"\\n \\\"see documentation for replacement\\\",\\n __name__,\\n )\\n # TODO add better handling for misconfiguration (e.g. forgetting function names)\\n # TODO support defining dockerize_pip options at the top level of args\\n custom_bucket = cast(str, kwargs.get(\\\"bucket\\\", \\\"\\\"))\\n if not custom_bucket:\\n if not context.bucket_name:\\n raise ValueError(\\\"hook requires bucket argument or top-level cfngin_hook\\\")\\n bucket_name = context.bucket_name\\n LOGGER.info(\\\"using default bucket from CFNgin: %s\\\", bucket_name)\\n else:\\n bucket_name = custom_bucket\\n LOGGER.info(\\\"using custom bucket: %s\\\", bucket_name)\\n\\n custom_bucket_region = cast(str, kwargs.get(\\\"bucket_region\\\", \\\"\\\"))\\n if not custom_bucket and custom_bucket_region:\\n raise ValueError(\\\"Cannot specify `bucket_region` without specifying `bucket`.\\\")\\n\\n bucket_region = select_bucket_region(\\n custom_bucket,\\n custom_bucket_region,\\n context.config.cfngin_bucket_region,\\n provider.region or \\\"us-east-1\\\",\\n )\\n\\n # Check if we should walk / follow symlinks\\n follow_symlinks = kwargs.get(\\\"follow_symlinks\\\", False)\\n if not isinstance(follow_symlinks, bool):\\n raise ValueError(\\\"follow_symlinks option must be a boolean\\\")\\n\\n # Check for S3 object acl. Valid values from:\\n # https://docs.aws.amazon.com/AmazonS3/latest/dev/acl-overview.html#canned-acl\\n payload_acl = cast(\\\"ObjectCannedACLType\\\", kwargs.get(\\\"payload_acl\\\", \\\"private\\\"))\\n\\n # Always use the global client for s3\\n session = context.get_session(region=bucket_region)\\n s3_client = session.client(\\\"s3\\\")\\n\\n ensure_s3_bucket(s3_client, bucket_name, bucket_region)\\n\\n prefix = kwargs.get(\\\"prefix\\\", \\\"\\\")\\n\\n results: Dict[str, Any] = {}\\n for name, options in kwargs[\\\"functions\\\"].items():\\n sys_path = (\\n os.path.dirname(context.config_path)\\n if os.path.isfile(context.config_path)\\n else context.config_path\\n )\\n results[name] = _upload_function(\\n s3_client,\\n bucket_name,\\n prefix,\\n name,\\n options,\\n follow_symlinks,\\n payload_acl,\\n str(sys_path),\\n work_dir=context.work_dir,\\n )\\n\\n return results\",\n \"def region(self):\\n if self._region is None:\\n cache_key = self.expand_name(\\\"region\\\")\\n cached = unitdata.kv().get(cache_key)\\n if cached:\\n self._region = cached\\n else:\\n req = self._imdv2_request(self._az_url)\\n with urlopen(req) as fd:\\n az = fd.read(READ_BLOCK_SIZE).decode(\\\"utf8\\\")\\n self._region = az.rstrip(string.ascii_lowercase)\\n unitdata.kv().set(cache_key, self._region)\\n return self._region\",\n \"def _get_partition(region_name: str) -> str:\\n\\n if region_name.startswith(\\\"us-gov\\\"):\\n return \\\"aws-us-gov\\\"\\n\\n return \\\"aws\\\"\",\n \"def s3_bucket(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"s3_bucket\\\")\",\n \"def get_s3_location ( loc_param ) :\\n return eval( 'boto.s3.connection.Location.' + loc_param )\",\n \"def _client(region: str = \\\"\\\") -> Any:\\n region_name = region or os.environ.get(\\\"AWS_DEFAULT_REGION\\\", AWS_DEFAULT_REGION)\\n return boto3.client(\\\"sqs\\\", region_name=region_name)\",\n \"def geo_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"geo_region\\\")\",\n \"def geo_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"geo_region\\\")\",\n \"def get_region(self, region):\\n\\n return self.adapter.get_region(region) \\n\\n\\n\\n\\n #file_compression = \\\"\\\"\\n # magic_dict = {\\n # b\\\"\\\\x1f\\\\x8b\\\\x08\\\": \\\"gz\\\",\\n # b\\\"\\\\x42\\\\x5a\\\\x68\\\": \\\"bz2\\\",\\n # b\\\"\\\\x50\\\\x4b\\\\x03\\\\x04\\\": \\\"zip\\\"\\n # }\\n # \\n\\n # max_len = max(len(x) for x in magic_dict)\\n # with open(file_path, \\\"rb\\\") as f:\\n # file_start = f.read(max_len)\\n # for magic, filetype in magic_dict.items():\\n # if file_start.startswith(magic):\\n # file_compression = filetype\\n # split_ext = file_path.split(\\\".\\\")\\n # extension = split_ext[len(split_ext) -1]\\n # if(file_compression == \\\"zip\\\"):\\n # if extension != \\\"zip\\\":\\n # subprocess.call(\\\"mv {} {}.zip\\\".format(file_path, file_path).split())\\n # subprocess.call(\\\"unzip {} -d .\\\".format(file_path).split())\\n # if(file_compression == \\\"bz2\\\"):\\n # if extension != \\\"bz2\\\":\\n # subprocess.call(\\\"mv {} {}.bz2\\\".format(file_path,file_path).split())\\n # subprocess.call(\\\"bzip2 -df {}\\\".format(file_path).split())\\n # if(file_compression == \\\"gz\\\"):\\n # if extension != \\\"gz\\\":\\n # subprocess.call(\\\"mv {} {}.gz\\\".format(file_path,file_path).split())\\n # subprocess.call(\\\"gzip -df {}\\\".format(file_path).split())\",\n \"def get_region(region):\\n region = region.lower()\\n if region in ['cena', 'ena', 'ceus', 'eus']:\\n return 'cena'\\n elif region in ['wna', 'wus']:\\n return 'wna'\\n else:\\n raise NotImplementedError('No recognized region for: %s', region)\",\n \"def bucket(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket\\\")\",\n \"def bucket(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket\\\")\",\n \"def bucket(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket\\\")\",\n \"def bucket(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket\\\")\",\n \"def bucket(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket\\\")\",\n \"def get_bucket_cors(Bucket=None):\\n pass\",\n \"def bucket(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"bucket\\\")\",\n \"def bucket(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"bucket\\\")\",\n \"def lambda_handler(event, context):\\n qpmBucket = event['queryStringParameters']['bucket']\\n fn_bucket = list_s3_objects(qpmBucket)\\n print(fn_bucket)\\n \\n \\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps(str(fn_bucket)),\\n }\",\n \"def getregion(self, *args, **kwargs):\\n return _image.image_getregion(self, *args, **kwargs)\",\n \"def source_region_name(self) -> str:\\n return self._source_region_name\",\n \"def get_bucket():\\n return FileBucket(os.path.join(context.site.data_path, 'buckets'))\",\n \"def resolve_url_to_location(self, url):\\n parsed_url = six.moves.urllib.parse.urlparse(url)\\n if not parsed_url.scheme:\\n parsed_url = six.moves.urllib.parse.urlparse('http://' + url)\\n parsed_own_url = six.moves.urllib.parse.urlparse(self.endpoint)\\n bucket, key = self.__match_path(parsed_url, parsed_own_url)\\n if bucket:\\n return self.region_name, bucket, key\\n else:\\n # Try to look it up in the config\\n s3_urls = self.config.get_all_region_options('s3-url')\\n for section, conf_url in s3_urls.items():\\n parsed_conf_url = six.moves.urllib.parse.urlparse(conf_url)\\n bucket, key = self.__match_path(parsed_url, parsed_conf_url)\\n if bucket:\\n region = self.config.get_region_option('name',\\n region=section)\\n return region or section, bucket, key\\n raise ValueError(\\\"URL '{0}' matches no known object storage \\\"\\n \\\"endpoints. Supply one via the command line or \\\"\\n \\\"configuration.\\\".format(url))\",\n \"def dataset_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"dataset_region\\\")\",\n \"def get_sts_endpoint(region):\\n return \\\"https://sts.{0}.{1}\\\".format(region, get_aws_domain(region))\",\n \"def region(self):\\n return self._region\",\n \"def region(self):\\n return self._region\",\n \"def __get_region(self, region):\\n\\t\\tif region is None:\\n\\t\\t\\tif self._default_region is not None:\\n\\t\\t\\t\\treturn self._default_region\\n\\t\\t\\telse:\\n\\t\\t\\t\\traise ValueError('No default region, must give explicitly')\\n\\t\\telif region not in self._regions:\\n\\t\\t\\traise ValueError('Invalid region {0}'.format(repr(region)))\\n\\t\\telse:\\n\\t\\t\\treturn region\",\n \"def bucket_name(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket_name\\\")\",\n \"def bucket_name(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket_name\\\")\",\n \"def bucket_name(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket_name\\\")\",\n \"def bucket_name(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket_name\\\")\",\n \"def bucket_name(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"bucket_name\\\")\",\n \"def region(cls):\\n return cls.REGION\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7334205","0.6579131","0.6273241","0.6175507","0.6165684","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.6162876","0.61409694","0.6136126","0.6130676","0.6123885","0.6098826","0.6094957","0.6094957","0.6094957","0.6094957","0.60730225","0.60730225","0.60730225","0.60730225","0.60730225","0.60730225","0.60541797","0.60541797","0.6016131","0.5959295","0.59349006","0.5926186","0.5912348","0.5912348","0.59073675","0.59073675","0.59073675","0.58872503","0.58240116","0.58240116","0.58240116","0.58240116","0.58240116","0.58240116","0.5821004","0.5800204","0.5793078","0.5784432","0.5778768","0.5778768","0.5755599","0.57412666","0.56607306","0.5633547","0.56279236","0.5621386","0.5620547","0.5610895","0.5583392","0.5560365","0.5555407","0.5545095","0.5539012","0.553218","0.5525077","0.551657","0.551657","0.5489682","0.5472386","0.5447181","0.5447181","0.5447181","0.5447181","0.5447181","0.54331535","0.54184026","0.54184026","0.53876823","0.5383884","0.5377071","0.53339297","0.5329224","0.5293808","0.52921927","0.5283997","0.5283997","0.52831155","0.52709794","0.52709794","0.52709794","0.52709794","0.52709794","0.5254836"],"string":"[\n \"0.7334205\",\n \"0.6579131\",\n \"0.6273241\",\n \"0.6175507\",\n \"0.6165684\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.6162876\",\n \"0.61409694\",\n \"0.6136126\",\n \"0.6130676\",\n \"0.6123885\",\n \"0.6098826\",\n \"0.6094957\",\n \"0.6094957\",\n \"0.6094957\",\n \"0.6094957\",\n \"0.60730225\",\n \"0.60730225\",\n \"0.60730225\",\n \"0.60730225\",\n \"0.60730225\",\n \"0.60730225\",\n \"0.60541797\",\n \"0.60541797\",\n \"0.6016131\",\n \"0.5959295\",\n \"0.59349006\",\n \"0.5926186\",\n \"0.5912348\",\n \"0.5912348\",\n \"0.59073675\",\n \"0.59073675\",\n \"0.59073675\",\n \"0.58872503\",\n \"0.58240116\",\n \"0.58240116\",\n \"0.58240116\",\n \"0.58240116\",\n \"0.58240116\",\n \"0.58240116\",\n \"0.5821004\",\n \"0.5800204\",\n \"0.5793078\",\n \"0.5784432\",\n \"0.5778768\",\n \"0.5778768\",\n \"0.5755599\",\n \"0.57412666\",\n \"0.56607306\",\n \"0.5633547\",\n \"0.56279236\",\n \"0.5621386\",\n \"0.5620547\",\n \"0.5610895\",\n \"0.5583392\",\n \"0.5560365\",\n \"0.5555407\",\n \"0.5545095\",\n \"0.5539012\",\n \"0.553218\",\n \"0.5525077\",\n \"0.551657\",\n \"0.551657\",\n \"0.5489682\",\n \"0.5472386\",\n \"0.5447181\",\n \"0.5447181\",\n \"0.5447181\",\n \"0.5447181\",\n \"0.5447181\",\n \"0.54331535\",\n \"0.54184026\",\n \"0.54184026\",\n \"0.53876823\",\n \"0.5383884\",\n \"0.5377071\",\n \"0.53339297\",\n \"0.5329224\",\n \"0.5293808\",\n \"0.52921927\",\n \"0.5283997\",\n \"0.5283997\",\n \"0.52831155\",\n \"0.52709794\",\n \"0.52709794\",\n \"0.52709794\",\n \"0.52709794\",\n \"0.52709794\",\n \"0.5254836\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.71261233"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":91293,"cells":{"query":{"kind":"string","value":"Build Lambda payloads from user configuration and upload them to S3. Constructs ZIP archives containing files matching specified patterns for each function, uploads the result to Amazon S3, then stores objects (of"},"document":{"kind":"string","value":"def upload_lambda_functions(context: CfnginContext, provider: Provider, **kwargs: Any):\n LOGGER.warning(\n \"%s is deprecated and will be removed in a future release - \"\n \"see documentation for replacement\",\n __name__,\n )\n # TODO add better handling for misconfiguration (e.g. forgetting function names)\n # TODO support defining dockerize_pip options at the top level of args\n custom_bucket = cast(str, kwargs.get(\"bucket\", \"\"))\n if not custom_bucket:\n if not context.bucket_name:\n raise ValueError(\"hook requires bucket argument or top-level cfngin_hook\")\n bucket_name = context.bucket_name\n LOGGER.info(\"using default bucket from CFNgin: %s\", bucket_name)\n else:\n bucket_name = custom_bucket\n LOGGER.info(\"using custom bucket: %s\", bucket_name)\n\n custom_bucket_region = cast(str, kwargs.get(\"bucket_region\", \"\"))\n if not custom_bucket and custom_bucket_region:\n raise ValueError(\"Cannot specify `bucket_region` without specifying `bucket`.\")\n\n bucket_region = select_bucket_region(\n custom_bucket,\n custom_bucket_region,\n context.config.cfngin_bucket_region,\n provider.region or \"us-east-1\",\n )\n\n # Check if we should walk / follow symlinks\n follow_symlinks = kwargs.get(\"follow_symlinks\", False)\n if not isinstance(follow_symlinks, bool):\n raise ValueError(\"follow_symlinks option must be a boolean\")\n\n # Check for S3 object acl. Valid values from:\n # https://docs.aws.amazon.com/AmazonS3/latest/dev/acl-overview.html#canned-acl\n payload_acl = cast(\"ObjectCannedACLType\", kwargs.get(\"payload_acl\", \"private\"))\n\n # Always use the global client for s3\n session = context.get_session(region=bucket_region)\n s3_client = session.client(\"s3\")\n\n ensure_s3_bucket(s3_client, bucket_name, bucket_region)\n\n prefix = kwargs.get(\"prefix\", \"\")\n\n results: Dict[str, Any] = {}\n for name, options in kwargs[\"functions\"].items():\n sys_path = (\n os.path.dirname(context.config_path)\n if os.path.isfile(context.config_path)\n else context.config_path\n )\n results[name] = _upload_function(\n s3_client,\n bucket_name,\n prefix,\n name,\n options,\n follow_symlinks,\n payload_acl,\n str(sys_path),\n work_dir=context.work_dir,\n )\n\n return results"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _upload_function(\n s3_conn: S3Client,\n bucket: str,\n prefix: str,\n name: str,\n options: _UploadFunctionOptionsTypeDef,\n follow_symlinks: bool,\n payload_acl: ObjectCannedACLType,\n sys_path: str,\n work_dir: Path,\n) -> Code:\n try:\n root = os.path.expanduser(options[\"path\"])\n except KeyError as exc:\n raise ValueError(\n f\"missing required property '{exc.args[0]}' in function '{name}'\"\n ) from exc\n\n includes = _check_pattern_list(options.get(\"include\"), \"include\", default=[\"**\"])\n excludes = _check_pattern_list(options.get(\"exclude\"), \"exclude\", default=[])\n\n LOGGER.debug(\"processing function: %s\", name)\n\n # os.path.join will ignore other parameters if the right-most one is an\n # absolute path, which is exactly what we want.\n if not os.path.isabs(root):\n root = os.path.abspath(os.path.join(sys_path, root))\n requirements_files = find_requirements(root)\n if requirements_files:\n zip_contents, content_hash = _zip_package(\n root,\n includes=cast(List[str], includes),\n excludes=excludes,\n follow_symlinks=follow_symlinks,\n requirements_files=requirements_files,\n work_dir=work_dir,\n **options,\n )\n else:\n zip_contents, content_hash = _zip_from_file_patterns(\n root, cast(List[str], includes), cast(List[str], excludes), follow_symlinks\n )\n\n return _upload_code(\n s3_conn, bucket, prefix, name, zip_contents, content_hash, payload_acl\n )","def lambda_handler(event, context):\n try:\n # Extract the Job ID\n job_id = event['CodePipeline.job']['id']\n\n # Extract the Job Data\n job_data = event['CodePipeline.job']['data']\n\n # Extract the params\n params = get_user_params(job_data)\n\n # Get the lists of artifacts coming in and out of this function\n input_artifacts = job_data['inputArtifacts']\n output_artifacts = job_data['outputArtifacts']\n\n # Perform a build on the source (from source_artifact)\n # and write results to the build_artifact\n s3 = setup_s3_client(job_data)\n source_artifact = find_artifact(input_artifacts, params['source_artifact'])\n src_dir = get_zipped_artifact(s3, source_artifact)\n dest_dir = tempfile.mkdtemp()\n perform_build(os.path.join(src_dir, 'src'), dest_dir)\n build_artifact = find_artifact(output_artifacts, params['build_artifact'])\n put_zipped_artifact(s3, dest_dir, build_artifact)\n\n # Pick the template out of the source code and write it to the\n # template_artifact\n template_artifact = find_artifact(output_artifacts, params['template_artifact'])\n put_zipped_artifact(s3, os.path.join(src_dir, params['template_subdir_path']), template_artifact)\n\n shutil.rmtree(src_dir)\n shutil.rmtree(dest_dir)\n put_job_success(job_id, \"Built code: \" + \", template:\")\n\n except Exception as e:\n # If any other exceptions which we didn't expect are raised\n # then fail the job and log the exception message.\n print('Function failed due to exception.')\n print(e)\n traceback.print_exc()\n put_job_failure(job_id, 'Function exception: ' + str(e))\n\n print('Function complete.')\n return \"Complete.\"","def inner(fn_inner):\n\n def handler(event, context):\n \"\"\"\n The AWS Lambda Entry Point\n \"\"\"\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');\n\n return handler","def lambda_handler(event, context):\n \n filename = None\n fobj = None\n\n try:\n \n filename = 'dlq' + '-' + datetime.datetime.now().strftime(\"%s\")\n fobj = open('/tmp/'+filename, 'w')\n logger.debug('S3 client set up.')\n\n for record in event['Records']:\n fobj.write(json.dumps(record['body']))\n fobj.write(\"\\n\")\n \n except Exception as ex:\n logger.error('Exception in executing ingestion to S3: {}'.format(ex))\n send_sns_alert(str(ex))\n raise\n\n else:\n \n #Saves file to S3\n fobj.close()\n load_data_s3(filename)\n\n return {\n 'statusCode': 200,\n 'body': json.dumps('Success!')\n }\n\n finally:\n\n # S3 - close temp object\n fobj.close()","def transfer(self):\n\n # Upload unverified matches to s3 bucket if unverified argument used (production only)\n if self.in_args.unverified:\n files = glob.glob(os.path.join(self.directories['unverified_matches_dir'].format(self.region_dir, self.proc_type), '*'))\n\n # Loop through files found in unverified_matches folder\n for filepath in files:\n filename = os.path.basename(filepath)\n # Upload each file to S3 bucket folder\n self.upload_file(filepath, self.bucket, 'UK_suppliers/Unverified_Matches/' + filename)\n self.unverified_file = filename\n\n # Zip file creation - note will only work for latest unverified file. Above loop is added just incase\n # any residual files get added manually to S3 bucket.\n\n # Get filepaths of stats file, filtered and excluded matches files\n stats_fp = self.directories['stats_file'].format(self.region_dir, self.proc_type)\n filtered_matches_fp = self.directories['filtered_matches'].format(self.region_dir, self.proc_type) + '_' + \\\n str(self.best_config) + '.csv'\n\n excluded_matches_fp = self.directories['excluded_matches'].format(self.region_dir, self.proc_type) + '_' + \\\n str(self.best_config) + '.csv'\n\n blacklisted_strings_fp = self.directories['blacklisted_string_matches'].format(self.region_dir)\n\n stats_file_fp = self.directories['script_performance_stats_file'].format(self.region_dir, self.proc_type)\n\n # Assign zip file which will contain above files\n files_zip = self.unverified_file[:10] + \"_files.zip\"\n\n with ZipFile(files_zip, 'w') as myzip:\n myzip.write(stats_fp, os.path.basename(stats_fp))\n myzip.write(filtered_matches_fp,os.path.basename(filtered_matches_fp))\n myzip.write(excluded_matches_fp, os.path.basename(excluded_matches_fp))\n myzip.write(blacklisted_strings_fp, os.path.basename(blacklisted_strings_fp))\n myzip.write(stats_file_fp, os.path.basename(stats_file_fp))\n\n self.upload_file(files_zip, self.bucket, 'UK_suppliers/Archive/' + files_zip)\n\n # Download verified matches from s3 bucket if verified argument (production only)\n if self.in_args.verified:\n self.process_verified_files()\n\n # Add confirmed matches/non-matches to training file\n if self.in_args.convert_training:\n self.runfile_mods.convert_training.ConvertToTraining.convert(self)","def lambda_handler(event, context):\n\n current_module = \"Aggregation_Combiner\"\n error_message = \"\"\n bpm_queue_url = None\n current_step_num = 5\n\n # Define run_id outside of try block\n run_id = 0\n try:\n # Retrieve run_id before input validation\n # Because it is used in exception handling\n run_id = event[\"RuntimeVariables\"][\"run_id\"]\n\n environment_variables = EnvironmentSchema().load(os.environ)\n\n runtime_variables = RuntimeSchema().load(event[\"RuntimeVariables\"])\n\n # Environment Variables\n bucket_name = environment_variables[\"bucket_name\"]\n run_environment = environment_variables[\"run_environment\"]\n\n # Runtime Variables\n additional_aggregated_column = runtime_variables[\"additional_aggregated_column\"]\n aggregated_column = runtime_variables[\"aggregated_column\"]\n aggregation_files = runtime_variables[\"aggregation_files\"]\n bpm_queue_url = runtime_variables[\"bpm_queue_url\"]\n environment = runtime_variables[\"environment\"]\n in_file_name = runtime_variables[\"in_file_name\"]\n out_file_name = runtime_variables[\"out_file_name\"]\n sns_topic_arn = runtime_variables[\"sns_topic_arn\"]\n survey = runtime_variables[\"survey\"]\n total_steps = runtime_variables[\"total_steps\"]\n\n except Exception as e:\n error_message = general_functions.handle_exception(e, current_module, run_id,\n context=context)\n raise exception_classes.LambdaFailure(error_message)\n try:\n logger = general_functions.get_logger(survey, current_module, environment,\n run_id)\n except Exception as e:\n error_message = general_functions.handle_exception(e, current_module,\n run_id, context=context)\n raise exception_classes.LambdaFailure(error_message)\n\n try:\n logger.info(\"Started - Retrieved configuration variables.\")\n # Get file from s3\n imp_df = aws_functions.read_dataframe_from_s3(bucket_name, in_file_name)\n\n logger.info(\"Retrieved data from s3\")\n\n # Receive the 3 aggregation outputs.\n ent_ref_agg = aggregation_files[\"ent_ref_agg\"]\n cell_agg = aggregation_files[\"cell_agg\"]\n top2_agg = aggregation_files[\"top2_agg\"]\n\n # Load file content.\n ent_ref_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, ent_ref_agg)\n cell_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, cell_agg)\n top2_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, top2_agg)\n logger.info(\"Successfully retrievied aggragation data from s3\")\n\n to_aggregate = [aggregated_column]\n if additional_aggregated_column != \"\":\n to_aggregate.append(additional_aggregated_column)\n\n # merge the imputation output from s3 with the 3 aggregation outputs\n first_merge = pd.merge(\n imp_df, ent_ref_agg_df, on=to_aggregate, how=\"left\")\n\n second_merge = pd.merge(\n first_merge, cell_agg_df, on=to_aggregate, how=\"left\")\n\n third_merge = pd.merge(\n second_merge, top2_agg_df, on=to_aggregate, how=\"left\")\n\n logger.info(\"Successfully merged dataframes\")\n\n # convert output to json ready to return\n final_output = third_merge.to_json(orient=\"records\")\n\n # send output onwards\n aws_functions.save_to_s3(bucket_name, out_file_name, final_output)\n logger.info(\"Successfully sent data to s3.\")\n\n if run_environment != \"development\":\n logger.info(aws_functions.delete_data(bucket_name, ent_ref_agg))\n logger.info(aws_functions.delete_data(bucket_name, cell_agg))\n logger.info(aws_functions.delete_data(bucket_name, top2_agg))\n logger.info(\"Successfully deleted input data.\")\n\n aws_functions.send_sns_message(sns_topic_arn, \"Aggregation - Combiner.\")\n logger.info(\"Successfully sent data to sns.\")\n\n except Exception as e:\n error_message = general_functions.handle_exception(e,\n current_module,\n run_id,\n context=context,\n bpm_queue_url=bpm_queue_url)\n\n finally:\n if (len(error_message)) > 0:\n logger.error(error_message)\n raise exception_classes.LambdaFailure(error_message)\n\n logger.info(\"Successfully completed module.\")\n\n # Send end of module status to BPM.\n status = \"DONE\"\n aws_functions.send_bpm_status(bpm_queue_url, current_module, status, run_id,\n current_step_num, total_steps)\n\n return {\"success\": True}","def lambda_handler(event, context):\n\n for record in event['Records']:\n\n bucket = record['s3']['bucket']['name']\n key = unquote_plus(record['s3']['object']['key'])\n\n str_value = s3_utils.download_file_as_string(bucket, key)\n data = json.loads(str_value)\n\n normalized_data = {\n 'meta': {\n 'table': 'parcels',\n 'column_names': [\n 'dataset',\n 'as_of',\n 'apn',\n 'objectid',\n 'city',\n 'x_coordinate',\n 'y_coordinate',\n 'area',\n 'length'\n ]\n }\n }\n\n rows = []\n\n dataset = data['meta']['dataset']\n as_of = data['meta']['datetime']\n\n for r in data['results']:\n\n attr = r['attributes']\n\n temp_dict = {\n 'dataset': dataset,\n 'as_of': as_of,\n 'apn': attr.get('APN_SPACE'),\n 'objectid': attr.get('OBJECTID'),\n 'city': attr.get('CITY'),\n 'x_coordinate': attr.get('X'),\n 'y_coordinate': attr.get('Y'),\n 'area': attr.get('Shape.STArea()'),\n 'length': attr.get('Shape.STLength()')\n }\n\n rows.append(temp_dict)\n\n normalized_data['rows'] = rows\n \n bucket = 'gis-data-normalized'\n file_name = 'normalized_' + key\n s3_utils.upload_json_as_file(normalized_data, bucket, file_name)","def _upload_code(\n s3_conn: S3Client,\n bucket: str,\n prefix: str,\n name: str,\n contents: Union[bytes, str],\n content_hash: str,\n payload_acl: ObjectCannedACLType,\n) -> Code:\n LOGGER.debug(\"ZIP hash: %s\", content_hash)\n key = f\"{prefix}lambda-{name}-{content_hash}.zip\"\n\n if _head_object(s3_conn, bucket, key):\n LOGGER.info(\"object already exists; not uploading: %s\", key)\n else:\n LOGGER.info(\"uploading object: %s\", key)\n s3_conn.put_object(\n Bucket=bucket,\n Key=key,\n Body=contents.encode() if isinstance(contents, str) else contents,\n ContentType=\"application/zip\",\n ACL=payload_acl,\n )\n\n return Code(S3Bucket=bucket, S3Key=key)","def publish():\n reset()\n compress()\n build()\n s3deploy()\n log_success()","def sync_to_bucket(s3_url,\n region='eu-west-1',\n profile_name=None):\n\n parsed_s3_url = urlparse.urlparse(s3_url);\n\n bucket_name = parsed_s3_url.hostname;\n key_prefix = parsed_s3_url.path;\n if key_prefix[0] == '/':\n key_prefix = key_prefix[1:]\n if key_prefix[-1] != '/':\n key_prefix = key_prefix + '/'\n\n def inner(fn_inner):\n \"\"\"\n Decorator function function sent in should be having signature\n func(None,None, XmlDoc) and should yield JSON document one for\n each file that should be persisted to S3\n \"\"\"\n\n def handler(event, context):\n \"\"\"\n The AWS Lambda Entry Point\n \"\"\"\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');\n\n return handler\n\n return inner","def _work(self, payload):\n pdf_path = payload['pdf_path']\n jpeg_prefixes = payload['jpeg_prefixes']\n\n webhook_url = payload['webhook_url']\n webhook_data = payload['webhook_data']\n\n page_start = payload['page_start']\n page_end = payload['page_end']\n\n self._log('Connecting to s3')\n connection, bucket = self._connect_to_s3(payload['s3'])\n\n # create batches of pages to convert\n for batch_first_page in range(page_start, page_end + 1, self.PAGES_PER_BATCH):\n batch_last_page = min(batch_first_page + self.PAGES_PER_BATCH - 1, page_end)\n batch_pages = range(batch_first_page, batch_last_page + 1)\n\n batch_jpeg_prefixes = jpeg_prefixes[batch_first_page - page_start:\n batch_last_page + 1 - page_start]\n self._convert_batch(bucket, pdf_path, batch_pages, batch_jpeg_prefixes,\n webhook_url, webhook_data)","def main():\n # get arguments that are passes to the glue job\n args = getResolvedOptions(sys.argv, ['source_bucket',\n 'source_key',\n 'destination_bucket',\n 'destination_key'])\n\n print('args parsed : {}'.format(args))\n\n source_bucket = args[\"source_bucket\"]\n source_key = args[\"source_key\"]\n destination_bucket = args[\"destination_bucket\"]\n destination_key = args[\"destination_key\"]\n\n # get zip file from s3\n s3_object = boto3.resource('s3')\\\n .Object(bucket_name=source_bucket, key=source_key)\n zip_file_byte_object = io.BytesIO(\n s3_object.get()[\"Body\"].read())\n zip_file = zipfile.ZipFile(zip_file_byte_object)\n name_list = zip_file.namelist()\n ret_val = []\n\n # unzip the zip file and write contents to s3\n for email_path in name_list:\n print('processing email path {}'.format(email_path))\n email = zip_file.open(email_path)\n email_byte_object = io.BytesIO(email.read())\n full_destination_key = destination_key + email_path\n print('uploading object to {}'.format(full_destination_key))\n boto3.client('s3').upload_fileobj(email_byte_object,\n destination_bucket,\n full_destination_key)\n email.close()\n ret_val.append(full_destination_key)\n\n print('stopped unzip')\n return ret_val","def handler(event, context):\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');","def lambda_handler(event, context): # pylint: disable=too-many-locals,too-many-branches,too-many-statements\r\n try: # pylint: disable=too-many-nested-blocks\r\n print(\"Execution started!\")\r\n #print(\"Event: \",event)\r\n # Bucket name and Full path for file - where file will be uploded\r\n source_bucket_name = event[\"detail\"][\"requestParameters\"][\"bucketName\"]\r\n source_key = urllib.parse.unquote_plus(\r\n event[\"detail\"][\"requestParameters\"][\"key\"], encoding='utf-8')\r\n \r\n print(\"file_path: \",source_key)\r\n #Loading master config\r\n print(\"Loading master_config\")\r\n audit_config = {}\r\n config_path = \"./config/\" + \\\r\n os.environ['CCM_ENV'] + \"/master_config.json\"\r\n config_content = open(config_path).read()\r\n config_json = json.loads(config_content)\r\n audit_config = config_json[\"audit_config\"]\r\n snow_params = config_json[\"ERROR_NOTIFICATION_SNOW_PARAMS\"]\r\n athena_query_param = config_json[\"ATHENA_QUERY_PARAMS\"]\r\n athena_table_params = config_json[\"ATHENA_TABLE_PARAMS\"]\r\n\r\n # Audit Parameters Based on the Invoking lambda and its operation involved\r\n audit_config[\"component_type_code\"] = \"ETL\"\r\n audit_config[\"component_name\"] = \"PCP Appflow\"\r\n audit_config[\"source_name\"] = \"Patient Connections Platform\"\r\n audit_config[\"target_name\"] = \"Consumer Consent Management\"\r\n audit_config[\"full_file_path\"] = \"s3://\" + \\\r\n source_bucket_name + \"/\" + source_key\r\n audit_config[\"file_version_id\"] = \"\"\r\n\r\n # Creates Job Entry in ABC Framework\r\n print(\"audit config::\", audit_config)\r\n process_execution_id = audit_helper.\\\r\n invoke_edb_abc_log_process_status_event_job_entry(audit_config)\r\n audit_config[\"process_execution_id\"] = process_execution_id\r\n print(\"process_execution_id ::\", process_execution_id)\r\n #print(\"source_key: \",source_key)\r\n s3_write = boto3.client('s3')\r\n record_dict = {}\r\n file_name = \"\"\r\n final_json = \"\"\r\n # prefix = \"\"\r\n # file_list = []\r\n # client = boto3.client(\"s3\")\r\n # result = client.list_objects(Bucket=source_bucket_name, Prefix=source_key, Delimiter='/')\r\n # #print(result)\r\n # for obj in result.get('CommonPrefixes'):\r\n # prefix = obj.get('Prefix')\r\n # #print(prefix)\r\n # file_list = list_files(client,source_bucket_name,prefix)\r\n # for file in file_list:\r\n # #print(file)\r\n json_read = read_s3_file(source_bucket_name, source_key)\r\n data = json.loads(json_read)\r\n #print(data)\r\n if data != '':\r\n record_dict = {k.lower(): v for k, v in data.items()}\r\n print(\"Record_Dict::\",record_dict)\r\n event_type_param = {}\r\n event_type_list = athena_table_params.keys()\r\n print(\"event_type_list\",event_type_list)\r\n for key in event_type_list:\r\n print(\"key\",key)\r\n if key in source_key:\r\n print(\"key\",key)\r\n event_type_param = athena_table_params[key]\r\n print(event_type_param)\r\n if \"changeeventheader\" in record_dict:\r\n if record_dict[\"changeeventheader\"][\"changeType\"] == \"CREATE\":\r\n #and record_dict[\"dtpc_affiliate__c\"] == 'US':\r\n recordid_create = record_dict[\"changeeventheader\"][\"recordIds\"][0]\r\n print(recordid_create)\r\n if recordid_create != '':\r\n last_modified_date = record_dict[\"lastmodifieddate\"].replace(\":\",\".\")\r\n create_json = json.dumps(record_dict)\r\n final_json = create_json\r\n file_name = recordid_create + \"-create-\" + str(last_modified_date)\r\n print(\"file_name: \",file_name)\r\n outbound_path = event_type_param[\"folder_path\"]\r\n final_source_key = outbound_path + '/' + file_name+\".json\"\r\n print(\"final_source_key :\", final_source_key)\r\n s3_write.put_object(\r\n Body=final_json, Bucket=source_bucket_name, Key=final_source_key)\r\n else:\r\n raise Exception(\"RecordId is missing: \", record_dict)\r\n elif record_dict[\"changeeventheader\"][\"changeType\"] == \"UPDATE\":\r\n record_ids_list = record_dict[\"changeeventheader\"][\"recordIds\"]\r\n if len(record_ids_list) != 0:\r\n for ele in record_ids_list:\r\n print(ele)\r\n element = \"'\" + ele + \"'\"\r\n payload_condition = event_type_param[\"recordid_condition\"]\r\n query = 'SELECT * FROM '+event_type_param[\"athena_create_table\"]+\\\r\n ' WHERE lastmodifieddate IN(SELECT max(lastmodifieddate) from '\\\r\n +event_type_param[\"athena_create_table\"]+\\\r\n ', UNNEST(\"'+payload_condition[0]+'\".\"'+payload_condition[1]+\\\r\n '\") AS ln(jsondata) WHERE jsondata IN ('+element+'));'\r\n print(query)\r\n athena_query_param['athena_query'] = query\r\n query_result_record_id = athena_helper.perform_athena_search\\\r\n (athena_query_param)\r\n print(\"Athena Query Result for Create Path:::\", query_result_record_id)\r\n update_json = create_complete_payload(data,query_result_record_id)\r\n print(\"update_json: \",update_json)\r\n if len(update_json) != 0:\r\n last_modified_date = record_dict[\"lastmodifieddate\"].replace\\\r\n (\":\",\".\")\r\n final_json = json.dumps(update_json)\r\n file_name = ele + \"-update-\" + str(last_modified_date)\r\n print(\"file_name: \",file_name)\r\n outbound_path = event_type_param[\"folder_path\"]\r\n final_source_key = outbound_path + '/' + file_name+\".json\"\r\n print(\"final_source_key :\", final_source_key)\r\n s3_write.put_object(\r\n Body=final_json, Bucket=source_bucket_name, \\\r\n Key=final_source_key)\r\n else:\r\n print(ele,\" does not have a create payload\")\r\n else:\r\n raise Exception(\"RecordId is missing: \", record_dict)\r\n else:\r\n raise Exception(\"ChangeEventHeader is missing: \", record_dict)\r\n else:\r\n raise Exception(\"Invalid Payload: \", record_dict)\r\n\r\n except (Exception) as err: # pylint: disable=line-too-long,broad-except\r\n print(\"Error occured: {0}\".format(str(err)))\r\n audit_type = \"error\"\r\n error_msg = sys.exc_info()\r\n exc_type = error_msg\r\n exc_obj = error_msg\r\n snow_params[\"flag\"] = \"FAIL\"\r\n snow_params[\"error_message\"] = str(exc_obj)\r\n snow_params[\"error_type\"] = str(exc_type)\r\n audit_config[\"exception_message\"] = str(exc_obj)\r\n if audit_config != {}:\r\n logging.exception(sys.exc_info())\r\n audit_helper.invoke_edb_abc_log_process_status_event(\r\n audit_type, audit_config) # pylint: disable=line-too-long\r\n audit_helper.raise_snow_incident(snow_params)","def lambda_handler(*_):\n Log.info(\"Checking bucket %s\", S3_BUCKET)\n Log.info(\"Output Key: %s\", S3_OUTPUT_KEY)\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\n filtered = s3index.filter_objects(objects)\n by_date = s3index.order_objects(filtered)\n template = s3index.template_from_string(TEMPLATE)\n index = s3index.build_index(\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\n s3_client = boto3.client(\"s3\")\n s3_client.put_object(\n ACL=\"public-read\",\n Body=index.encode(),\n Bucket=S3_BUCKET,\n Key=S3_OUTPUT_KEY,\n ContentType=\"text/html\"\n )","def lambda_handler(event, context):\n\n # Get details from the event.\n job = event[\"CodePipeline.job\"]\n input_bucket, input_key = get_input_artifact_location(job)\n output_bucket, output_key = get_output_artifact_location(job)\n user_params = get_user_parameters(job)\n assume_role_arn = user_params[\"AssumeRoleArn\"]\n image_parameter_name = user_params[\"ImageParameterName\"]\n stack_name = user_params[\"StackName\"]\n template_filename = user_params[\"TemplateFilename\"]\n\n # Create client in the pipeline account.\n pipeline_s3_client = get_artifact_s3_client(job)\n\n # Create clients in the target account.\n target_session = get_session(\n role_arn=assume_role_arn, session_name=\"prepare-ami-deployment\"\n )\n target_cfn_client = target_session.client(\"cloudformation\")\n target_ssm_client = target_session.client(\"ssm\")\n\n # Download the input artifact zip file, read manifest.json from it,\n # and get the AMI it references. Also look up the associated image name.\n with download_zip_file(\n s3_client=pipeline_s3_client, bucket=input_bucket, key=input_key\n ) as zip_file:\n image_detail_string = zip_file.read(\"imageDetail.json\").decode(\"utf-8\")\n log(\"IMAGE_DETAIL_STRING\", image_detail_string)\n image_detail = json.loads(image_detail_string)\n image = image_detail[\"ImageURI\"]\n log(\"IMAGE\", image)\n\n # Update the SSM parameters with the image,\n # to be used by the CloudFormation deployment stage of the pipeline.\n target_ssm_client.put_parameter(\n Name=image_parameter_name, Value=image, Type=\"String\", Overwrite=True\n )\n\n # Write the CloudFormation stack's template to the output artifact location,\n # to be used by the CloudFormation deployment stage of the pipeline.\n template = get_cloudformation_template(\n cfn_client=target_cfn_client, stack_name=stack_name\n )\n with create_zip_file({template_filename: template}) as zip_path:\n pipeline_s3_client.upload_file(zip_path, output_bucket, output_key)","def task_deploy():\n client = boto3.client(\"lambda\")\n\n def upload_build():\n if function_exists(client):\n update_lambda_function(client)\n else:\n create_lambda_function(client)\n\n return {\"actions\": [upload_build], \"file_dep\": [f\"{DIST_DIR}/build.zip\"]}","def s3zip_func(s3zip_path, _func=None, cred_fpath=None, api_path=None, num_files=-1, verbose=False, include=None, **kwargs):\n\n def operate(subfile, _func, verbose, **kwargs):\n if verbose:\n print(\"current time is {}\".format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')))\n print(\"{} opened.\".format(subfile))\n if _func is None:\n return subfile\n else:\n return _func(fpath=zipf.open(subfile), fname=subfile, **kwargs)\n\n s3bucket, s3zip = s3zip_path.split(\"s3://\")[-1].split('/', 1)\n myAccessKey, mySecretKey, myToken = get_creds(cred_fpath=cred_fpath, api_path=api_path)\n\n session = boto3.session.Session(\n aws_access_key_id=myAccessKey,\n aws_secret_access_key=mySecretKey,\n aws_session_token=myToken\n )\n\n s3 = session.resource(\"s3\")\n bucket = s3.Bucket(s3bucket)\n obj = bucket.Object(s3zip)\n\n with io.BytesIO(obj.get()[\"Body\"].read()) as tf:\n\n # rewind the file\n tf.seek(0)\n\n # Read the file as a zipfile and process the members\n with zipfile.ZipFile(tf, mode='r') as zipf:\n zipfiles = zipf.namelist()\n if include is None:\n include = zipfiles\n if num_files == -1:\n num_files = len(zipfiles)\n results = [operate(subfile, _func, verbose, **kwargs)\n for subfile in zipfiles[:num_files] if subfile in include]\n return results","def upload(jsonfiles):\n # clear S3 Bucket\n bucket = S3Bucket()\n bucket.clear()\n for jsonfile in jsonfiles:\n filename = os.path.basename(jsonfile)\n key = build_key(filename)\n logging.info(\"%s %s\", filename, key)\n # store json in S3 object\n bucket.store(key, jsonfile)","def lambda_handler(event, context):\n # Environmental Variables\n CATALOG_BRANCHES_TABLE = anejocommon.set_env_var('CATALOG_BRANCHES_TABLE')\n PRODUCT_INFO_TABLE = anejocommon.set_env_var('PRODUCT_INFO_TABLE')\n S3_BUCKET = anejocommon.set_env_var('S3_BUCKET')\n\n # Loop through event records\n try:\n event_records = event['Records']\n except KeyError:\n event_records = [{'body': event}]\n\n for record in event_records:\n try:\n catalog_sync_info = json.loads(record['body'])\n except TypeError:\n catalog_sync_info = record['body']\n\n # Event Variables\n catalog_url = catalog_sync_info['catalog_url']\n\n apple_bucket_catalog_path = anejocommon.get_path_from_url(\n catalog_url,\n 'html',\n append_to_path='.apple'\n )\n \n catalog = anejocommon.retrieve_url(catalog_url)\n try:\n catalog_plist = plistlib.readPlistFromBytes(catalog.data)\n except plistlib.InvalidFileException:\n print(\"ERROR: Cannot read catalog plist\")\n return\n\n # Write our local (filtered) catalogs\n anejocommon.write_local_catalogs(\n apple_bucket_catalog_path,\n catalog_plist,\n S3_BUCKET,\n CATALOG_BRANCHES_TABLE,\n PRODUCT_INFO_TABLE\n )","def run(self):\n self.compress(\n self.__config.public_key(),\n self.__config.input_dir(),\n self.__config.output_dir(),\n self.__config.suffix()\n )","def lambda_handler(event, context):\n\n LOGGER.debug(\"Lambda invoked\")\n log_environment_variables()\n\n\n # 1) Initialize\n # Setup required AWS infrastructure\n create_infrastructure()\n\n # If configuration exists, retrieve from S3 - otherwise create a new one\n config = get_config()\n LOGGER.info(f\"config loaded: {config}\")\n\n # If previously_valid_urls exists, retrieve from S3, otherwise create a blank one\n previously_valid_urls = get_previously_valid_urls()\n LOGGER.info(f\"previously_valid_urls loaded: {list(previously_valid_urls)}\")\n\n\n # 2) Retrieve URL data\n # Generate URLs\n end_value_inclusive = config[\"start_value\"] + config[\"look_ahead\"] + 1\n requests = [{\"url\": config[\"url\"] % value, \"value\": value} for value in\n range(config[\"start_value\"], end_value_inclusive)]\n LOGGER.info(f\"Requesting values in range {config['start_value']} -> {end_value_inclusive} (inclusive)\")\n LOGGER.info(f\"First URL to request: {requests[0]['url'] if requests else 'None'}\")\n LOGGER.info(f\"Last URL to request: {requests[-1]['url'] if requests else 'None'}\")\n\n # Get all responses\n responses = get_responses(requests)\n\n # Create a list of requests that responded with status code 200\n valid_urls = [{\"url\": response[\"url\"], \"value\": response[\"value\"]} for response in responses\n if response[\"response\"].status == 200]\n\n\n # 3) Process URL data\n # Check valid_urls against previously_valid_urls and add to new_valid_urls\n new_valid_urls = []\n for valid_url in valid_urls:\n if valid_url[\"url\"] not in previously_valid_urls:\n LOGGER.debug(f\"New valid URL found: {valid_url['url']}\")\n new_valid_urls.append(valid_url)\n\n\n # 4) Send alerts based upon processed URL data\n # Send emails for new_valid_urls\n if new_valid_urls:\n LOGGER.info(\"New URLs found, sending email.\")\n send_email(config[\"from_email\"], config[\"to_email\"], config[\"email_subject\"],\n generate_email_body(new_valid_urls))\n\n # Once emails have sent (and threw no exception), update start_value if slide_window is True\n if config[\"slide_window\"]:\n greatest_valid_value = new_valid_urls[-1]['value']\n\n new_start_value = greatest_valid_value + 1\n LOGGER.info(f\"Updating start value from {config['start_value']} to {new_start_value}\")\n config[\"start_value\"] = new_start_value\n\n\n # 5) Save state\n # Save previously_valid_urls as list of just URL strings, no metadata is needed\n save_previously_valid_urls([valid_url[\"url\"] for valid_url in valid_urls])\n\n save_config(config)\n\n\n return {\n \"statusCode\": 200,\n \"body\": json.dumps({\n \"all_valid_urls\": valid_urls,\n \"new_valid_urls\": new_valid_urls,\n }),\n }","def zip_campaign_files(): # pylint: disable=too-many-locals\n try:\n build_tag = env.get('BUILD_TAG')\n assert Campaign.dump_db() == Campaign.EX_OK\n assert Campaign.dump_artifacts() == Campaign.EX_OK\n with zipfile.ZipFile(f'{build_tag}.zip',\n 'w', zipfile.ZIP_DEFLATED) as zfile:\n zfile.write(f\"{build_tag}.json\")\n for root, _, files in os.walk(build_tag):\n for filename in files:\n zfile.write(os.path.join(root, filename))\n b3resource = boto3.resource(\n 's3', endpoint_url=os.environ[\"S3_ENDPOINT_URL\"])\n dst_s3_url = os.environ[\"S3_DST_URL\"]\n multipart_threshold = 5 * 1024 ** 5 if \"google\" in os.environ[\n \"S3_ENDPOINT_URL\"] else 8 * 1024 * 1024\n tconfig = TransferConfig(multipart_threshold=multipart_threshold)\n bucket_name = urllib.parse.urlparse(dst_s3_url).netloc\n mime_type = mimetypes.guess_type(f'{build_tag}.zip')\n path = urllib.parse.urlparse(dst_s3_url).path.strip(\"/\")\n # pylint: disable=no-member\n b3resource.Bucket(bucket_name).upload_file(\n f'{build_tag}.zip',\n os.path.join(path, f'{build_tag}.zip'),\n Config=tconfig,\n ExtraArgs={'ContentType': mime_type[\n 0] or 'application/octet-stream'})\n dst_http_url = os.environ[\"HTTP_DST_URL\"]\n link = os.path.join(dst_http_url, f'{build_tag}.zip')\n Campaign.__logger.info(\n \"All data were successfully published:\\n\\n%s\", link)\n return Campaign.EX_OK\n except KeyError as ex:\n Campaign.__logger.error(\"Please check env var: %s\", str(ex))\n return Campaign.EX_ZIP_CAMPAIGN_FILES_ERROR\n except botocore.exceptions.NoCredentialsError:\n Campaign.__logger.error(\n \"Please fill ~/.aws/credentials, ~/.boto or set \"\n \"AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY in env\")\n return Campaign.EX_ZIP_CAMPAIGN_FILES_ERROR\n except Exception: # pylint: disable=broad-except\n Campaign.__logger.exception(\"Cannot publish the artifacts\")\n return Campaign.EX_ZIP_CAMPAIGN_FILES_ERROR","def main():\n arg_parser = argparse.ArgumentParser(description='Transfer data files to AWS S3 bucket.')\n arg_parser.add_argument('mission', action='store', help='Mission data to be transferred.')\n arg_parser.add_argument('target', action='store', help='Which AWS account to receive data.')\n args = arg_parser.parse_args()\n mission = args.mission\n target = args.target.upper()\n\n config = configparser.ConfigParser()\n config.read('aws.ini')\n bucket = config[target]['bucket']\n access_key_id = config[target]['access_key']\n secret_key_id = config[target]['secret_key']\n\n source_dir = os.path.join(OUTBOUND, mission)\n dir_list = get_target_list(source_dir)\n for directory in dir_list:\n if directory.endswith('_TIF'):\n file_dir = os.path.join(source_dir, directory)\n files = get_target_list(file_dir)\n for file in files:\n upload_to_aws(file_dir + file, bucket, mission + f'/{directory}/{file}',\n access_key_id, secret_key_id)","def upload_bucket_samples():\n if not Config.region:\n logger.error(\"You must specify a region in order to scan a bucket target\")\n raise SystemExit(\n \"Target region not specified. Use -r or --region to specify the target region.\"\n )\n # Connect to S3 in our target region\n s_3 = boto3.resource(\"s3\", region_name=Config.region)\n # Connect to our target bucket\n bucket = s_3.Bucket(Config.target_dir)\n # Retrieve a list of all objects in the bucket\n summaries = bucket.objects.all()\n # Inform the user as this may take a minute\n logger.info(\"Assembling volume from target bucket (%s) for submission\", Config.target_dir)\n # Loop through our list of files, downloading each to memory then upload them to the Sandbox\n for item in summaries:\n # Grab the file name from the path\n filename = os.path.basename(item.key)\n # Teensy bit of witch-doctor magic to download the file\n # straight into the payload used for our upload to the Sandbox\n response = Samples.upload_sample(file_name=filename,\n file_data=io.BytesIO(\n bucket.Object(key=item.key).get()[\"Body\"].read()\n )\n )\n # Retrieve our uploaded file SHA256 identifier\n sha = response[\"body\"][\"resources\"][0][\"sha256\"]\n # Add this SHA256 to the upload payload element\n Analyzer.uploaded.append(sha)\n # Track the upload so we recognize the file when we're done\n Analyzer.files.append([filename, item.key, sha])\n # Inform the user of our progress\n logger.debug(\"Uploaded %s to %s\", filename, sha)","def create_function(self):\n logger.info(\"Preparing stuf to create function\")\n self.create_package('devel')\n\n self.upload_package()\n\n function_definition = self.get_function_configuration()\n\n # Set the first release Code block\n function_definition['Code'] = {\n 'S3Bucket': self.function_config['Code']['S3Bucket'],\n 'S3Key': self.s3_filename,\n }\n\n function_definition['Publish'] = True\n\n logger.info(\"Creating function\")\n return self.aws_lambda.create_function(**function_definition)","def lambda_handler(event, context):\n\n try:\n\n global AWS_REGION\n\n AWS_REGION = event['Records'][0]['awsRegion']\n\n s3objkey = urllib.parse.unquote_plus(event['Records'][0]['s3']['object']['key'], encoding='utf-8')\n s3objsize = event['Records'][0]['s3']['object']['size']\n bucket = event['Records'][0]['s3']['bucket']['name']\n \n print(\"\\nDealing with <- {} -> image from album [- {} -]\".format(str(s3objkey).split('/')[-1],\n str(s3objkey).split('/')[-2]))\n\n full_table_name = DDB_TABLE + '_' + bucket\n ddb_table = boto3.resource('dynamodb', region_name=AWS_REGION).Table(full_table_name)\n\n resp = ddb_table.get_item(Key={'FileName': s3objkey})\n okey = resp.get('Item', {'OptimizedSizeKey': 'None'}).get('OptimizedSizeKey', 'No')\n\n if okey == 'Yes': # In DB file marked as optimized\n\n lbls = detect_rk_labels(s3objkey, s3objsize, bucket)\n exiftags = fetch_exif_tags(s3objkey, bucket)\n update_pig_config_ddb(s3objkey, bucket, lbls, exiftags, okey)\n\n elif okey == 'No' or okey == 'None': # file size is not optimized according to DB record\n\n _, optimized_img_path = img_optimizer(s3objkey, bucket)\n update_pig_config_ddb(s3objkey, bucket, ok='Yes', _json=False)\n\n # Now we can PUT optimized file from /tmp to bucket\n s3client = boto3.client('s3', region_name=AWS_REGION)\n with open(optimized_img_path, 'rb') as content: # Upload optimized image to S3 (invokes another Lambda)\n\n ext = s3objkey.split('/')[-1].split('.')[-1]\n for e, m in metadata.items():\n if e == ext:\n s3client.upload_fileobj(content,\n bucket,\n s3objkey,\n ExtraArgs={'ContentType': m})\n\n print(\"Image {} size was optimized and uploaded to bucket as {}\".format(\n str(s3objkey).split('/')[-1], s3objkey))\n\n print(\"\\nTime remaining (MS): {}\\n\".format(context.get_remaining_time_in_millis()))\n\n except Exception as e:\n print('ERROR: ', e)","def lambda_handler(event, context):\n print(\"Incoming event: {}\".format(event))\n for object in event.get(\"Records\"):\n key = unquote_plus(object[\"s3\"][\"object\"][\"key\"])\n bucket_name = unquote_plus(object[\"s3\"][\"object\"][\"bucket_name\"])\n print(\"Pymage: Resizing {} in bucket: {}\".format(key, bucket_name))\n get_file_and_resize(bucket_name=bucket_name, file_name=key)","def s3_process(self, payload, classifier):\n s3_file_lines = StreamPreParsers.pre_parse_s3(payload.raw_record)\n for line in s3_file_lines:\n data = line.rstrip()\n payload.refresh_record(data)\n self.process_alerts(classifier, payload, data)","def _zip_from_file_patterns(\n root: str, includes: List[str], excludes: List[str], follow_symlinks: bool\n) -> Tuple[bytes, str]:\n LOGGER.info(\"base directory: %s\", root)\n\n files = list(_find_files(root, includes, excludes, follow_symlinks))\n if not files:\n raise RuntimeError(\n \"Empty list of files for Lambda payload. Check \"\n \"your include/exclude options for errors.\"\n )\n\n LOGGER.info(\"adding %d files:\", len(files))\n\n for file_name in files:\n LOGGER.debug(\" + %s\", file_name)\n\n return _zip_files(files, root)","def lambda_handler(event, context):\n try:\n if not _is_setup:\n _setup()\n\n previous_attempts = event.get(\"Artifact\", dict(ReadAttempts=0))[\"ReadAttempts\"]\n\n manifest = _load_manifest(event[\"ResourceKey\"])\n artifact_location = dict(S3Bucket=_bucket_name, S3Key=manifest[\"ArtifactS3Key\"])\n artifact_exists = _artifact_exists(manifest[\"ArtifactS3Key\"])\n\n return dict(\n Found=artifact_exists,\n ReadAttempts=previous_attempts + 1,\n Location=artifact_location,\n ProjectName=manifest[\"ProjectName\"],\n Runtimes=manifest[\"Runtimes\"],\n )\n except Exception:\n # TODO: Turn these into known-cause state machine failures.\n raise","def lambda_handler(event, context):\n \"\"\"\n Can Override the global variables using Lambda Environment Parameters\n \"\"\"\n global_vars = set_global_vars()\n\n resp_data = {\"status\": False, \"error_message\" : '' }\n\n if not global_vars.get('status'):\n logger.error('ERROR: {0}'.format( global_vars.get('error_message') ) )\n resp_data['error_message'] = global_vars.get('error_message')\n return resp_data\n\n lgs = get_cloudwatch_log_groups(global_vars)\n if not lgs.get('status'):\n logger.error(f\"Unable to get list of cloudwatch Logs.\")\n resp_data['error_message'] = lgs.get('error_message')\n return resp_data\n\n f_lgs = filter_logs_to_export(global_vars, lgs)\n if not (f_lgs.get('status') or f_lgs.get('log_groups')):\n err = f\"There are no log group matching the filter or Unable to get a filtered list of cloudwatch Logs.\"\n logger.error( err )\n resp_data['error_message'] = f\"{err} ERROR:{f_lgs.get('error_message')}\"\n resp_data['lgs'] = {'all_logs':lgs, 'cw_logs_to_export':global_vars.get('cw_logs_to_export'), 'filtered_logs':f_lgs}\n return resp_data\n\n # TODO: This can be a step function (or) async 'ed\n resp_data['export_tasks'] = []\n #loop = asyncio.get_event_loop()\n loop = asyncio.new_event_loop()\n asyncio.set_event_loop(loop)\n \n # asyncio.set_event_loop(asyncio.new_event_loop())\n # wait_coro = asyncio.wait(to_do) \n # res, _ = loop.run_until_complete(wait_coro)\n\n # Lets being the archving/export process\n for lg in f_lgs.get('log_groups'):\n resp = loop.run_until_complete( export_cw_logs_to_s3( global_vars, lg.get('logGroupName'),global_vars.get('retention_days'), global_vars.get('log_dest_bkt')) )\n print(resp)\n resp_data['export_tasks'].append(resp)\n loop.close()\n # If the execution made it through here, no errors in triggering the export tasks. Set to True.\n resp_data['status'] = True\n return resp_data","def upload_all_to_s3(static_root):\n conn = _get_connection()\n\n files = _get_file_list(static_root)\n _build_local_metadata_file(files, home=static_root)\n\n local_metadata = _fetch_current_local_metadata()\n remote_metadata = _fetch_current_remote_metadata(conn)\n files_to_upload = _filter_file_list(files, local_metadata, remote_metadata)\n\n start_time = time.time()\n print 'Upload start: Landing in BUCKET_NAME: %s' % BUCKET_NAME\n\n for f in files_to_upload:\n #Upload to Bucket\n upload_file(conn, os.path.join(static_root, f), f)\n\n #Upload Gzip css/js version if gzip is enabled\n can_be_gzipped = _file_can_be_compressed(os.path.join(static_root, f))\n if GZIP_ENABLED and can_be_gzipped:\n upload_file(conn, os.path.join(static_root, f), f, gzip=True)\n\n #Extra files\n if EXTRA_FILES:\n print 'Now, uploading extra files outside public/static'\n for filename_local, filename_s3 in EXTRA_FILES.items():\n upload_file(conn, filename_local, filename_s3)\n\n end_time = time.time()\n print 'Upload finished: \\\n Time elapsed: %s s' % round(end_time - start_time, 3)\n\n # refresh metadata file on the server\n print 'Uploading local metadata file'\n upload_file(conn, LOCAL_METADATA_FILE, REMOTE_METADATA_FILE)\n print 'Uploading process DONE'","def test_write_multi_files_to_bucket(\n self, mcg_obj, awscli_pod, bucket_factory, amount, file_type\n ):\n data_dir = \"/data\"\n if file_type == \"large\":\n public_bucket = PUBLIC_BUCKET\n obj_key = LARGE_FILE_KEY\n elif file_type == \"small\":\n public_bucket = constants.TEST_FILES_BUCKET\n obj_key = \"random1.txt\"\n elif file_type == \"large_small\":\n public_bucket = PUBLIC_BUCKET\n obj_key = LARGE_FILE_KEY.rsplit(\"/\", 1)[0]\n\n # Download the file to pod\n awscli_pod.exec_cmd_on_pod(command=f\"mkdir {data_dir}\")\n public_s3_client = retrieve_anon_s3_resource().meta.client\n download_files = []\n # Use obj_key as prefix to download multiple files for large_small\n # case, it also works with single file\n for obj in public_s3_client.list_objects(\n Bucket=public_bucket, Prefix=obj_key\n ).get(\"Contents\"):\n # Skip the extra file in large file type\n if file_type == \"large\" and obj[\"Key\"] != obj_key:\n continue\n logger.info(f'Downloading {obj[\"Key\"]} from AWS bucket {public_bucket}')\n download_obj_cmd = f'cp s3://{public_bucket}/{obj[\"Key\"]} {data_dir}'\n awscli_pod.exec_cmd_on_pod(\n command=craft_s3_command(download_obj_cmd), out_yaml_format=False\n )\n download_files.append(obj[\"Key\"])\n # Write all downloaded objects to the new bucket\n bucketname = bucket_factory(1)[0].name\n base_path = f\"s3://{bucketname}\"\n for i in range(amount):\n full_object_path = base_path + f\"/{i}/\"\n sync_object_directory(awscli_pod, data_dir, full_object_path, mcg_obj)\n\n obj_list = list(\n obj.key.split(\"/\")[-1]\n for obj in mcg_obj.s3_list_all_objects_in_bucket(bucketname)\n )\n\n # Check total copy files amount match\n if file_type == \"large_small\":\n assert len(obj_list) == 2 * amount, \"Total file amount does not match\"\n else:\n assert len(obj_list) == amount, \"Total file amount does not match\"\n\n # Check deduplicate set is same\n test_set = set([i.split(\"/\")[-1] for i in download_files])\n assert test_set == set(obj_list), \"File name set does not match\"","def main(transcribe_bucket_name, mp3_bucket_name):\n\n s3 = boto3.resource('s3')\n for bucket in s3.buckets.all():\n if bucket.name == transcribe_bucket_name:\n for key in bucket.objects.all():\n if key.key.endswith('.json'):\n r = {}\n # Get reference number\n reference = basename(key.key).replace('.json', '')\n r['ref'] = reference\n # Get URL\n location = boto3.client('s3') \\\n .get_bucket_location(\n Bucket=mp3_bucket_name)['LocationConstraint']\n base_url = join('https://s3-%s.amazonaws.com' % location,\n mp3_bucket_name)\n url = join(base_url, key.key.replace('.json', '.mp3'))\n r['url'] = url\n # Download json file\n try:\n s3.Bucket(transcribe_bucket_name) \\\n .download_file(key.key, key.key)\n except Exception as exception:\n return 1\n # Get text\n with open(key.key, 'r') as f:\n data = json.load(f)\n text = data['results']['transcripts'][0]['transcript']\n r['text'] = text\n # Get sentiment\n sentiment = get_sentiment(text)\n r['sentiment'] = sentiment\n # Check promotion\n promo = check_promo(text)\n r['promo'] = promo\n # Save to Gooogle Sheets\n values = [r['ref'], r['text'], r['promo'], r['sentiment'],\n r['url']]\n append_row(values)\n # Remove tmp json file from local machine\n remove(key.key)","def deploy_templates(**kwargs):\n\n # Parameters to find the templates in specified S3 bucket\n objects_parameters = {}\n objects_parameters.update({'Bucket': kwargs['bucket']})\n if 'prefix' in kwargs:\n objects_parameters.update({'Prefix': kwargs['prefix']})\n\n deploy_parameters = {}\n if 'Tags' in kwargs:\n deploy_parameters.update({'Tags': kwargs['Tags']})\n if 'rollback_configuration' in kwargs:\n deploy_parameters.update(\n {'rollback_configuration': kwargs['rollback_configuration']})\n if 'notification_arns' in kwargs:\n deploy_parameters.update(\n {'NotificationARNs': kwargs['notification_arns']})\n\n session = kwargs['session']\n s3_client = session.client('s3')\n cfn_client = session.client('cloudformation')\n\n cfn_ext = ('.json', '.template', '.txt', '.yaml', '.yml')\n\n stack_archive = []\n\n stack_counter = 0\n for s3_object in s3_client.list_objects_v2(\n **objects_parameters)['Contents']:\n # Only lets through S3 objects with the names properly formatted for\n # LEO\n if s3_object['Key'].endswith(cfn_ext) and s3_object['Key'].split(\n '/')[-1].startswith('{:02d}'.format(stack_counter)):\n stack_name = \"{}-{}\".format(kwargs['job_identifier'], str(\n s3_object['Key'].split('/')[-1]).rsplit('.', 1)[0])\n\n check = deploy_type(stack_name=stack_name,\n cfn_client=cfn_client)\n # If stack name exists it will update, else it will create\n if check['Update']:\n try:\n stack = update_stack(\n update_stack_name=check['UpdateStackName'],\n key_object=s3_object['Key'],\n bucket=objects_parameters['Bucket'],\n job_identifier=kwargs['job_identifier'],\n parameters=kwargs['parameters'],\n gated=kwargs['gated'],\n session=kwargs['session'],\n deploy_parameters=deploy_parameters)\n\n if stack is not None: # If there are no changes to the stack\n stack_archive.append({'StackName': stack['StackName']})\n\n stack_counter += 1\n except Exception as e:\n log.exception('Error: {}'.format(e))\n exit(1)\n else:\n try:\n stack = create_stack(\n key_object=s3_object['Key'],\n bucket=objects_parameters['Bucket'],\n job_identifier=kwargs['job_identifier'],\n parameters=kwargs['parameters'],\n gated=kwargs['gated'],\n session=kwargs['session'],\n deploy_parameters=deploy_parameters)\n\n if stack is None: # If the user decided not to deploy\n exit(0)\n else:\n stack_archive.append({'StackName': stack['StackName']})\n stack_counter += 1\n except Exception as e:\n log.exception('Error: {}'.format(e))\n exit(1)","def lambda_handler(event, context) -> Dict:\n\n destination: Optional[str] = os.environ.get(\"DESTINATION\")\n assert destination, \"failed to get destination\"\n\n ec2_client = boto3.client(\"ec2\")\n try:\n vpcs_res: Dict = ec2_client.describe_vpcs()\n except ClientError as error:\n raise error\n\n for vpc in vpcs_res.get(\"Vpcs\", []):\n try:\n flow_logs_res: Dict = ec2_client.describe_flow_logs(\n Filters=[{\"Name\": \"resource-id\", \"Values\": [vpc.get(\"VpcId\")]}],\n )\n except ClientError as error:\n raise error\n\n flow_logs = flow_logs_res.get(\"FlowLogs\", [])\n\n if len(flow_logs) == 0:\n try:\n response = ec2_client.create_flow_logs(\n ResourceIds=[vpc.get(\"VpcId\")],\n ResourceType=\"VPC\",\n TrafficType=\"ALL\",\n LogDestinationType=\"s3\",\n LogDestination=destination,\n )\n except ClientError as error:\n raise error\n\n if response.get(\"Unsuccessful\", []) != []:\n raise Exception(f\"failed to create_flow_logs {response}\")\n\n print(f\"Created flow logs for {vpc.get('VpcId')}\")\n\n elif len(flow_logs) >= 1:\n exists = False\n for flow_log in flow_logs:\n if flow_log.get(\"LogDestination\", \"\") == destination:\n exists = True\n\n if not exists:\n try:\n ec2_client.create_flow_logs(\n ResourceIds=[vpc.get(\"VpcId\")],\n ResourceType=\"VPC\",\n TrafficType=\"ALL\",\n LogDestinationType=\"s3\",\n LogDestination=destination,\n )\n except ClientError as error:\n raise error\n print(f\"Created flow logs for {vpc.get('VpcId')}\")\n\n return {\"statusCode\": 200, \"body\": \"success\"}","def run(self):\n #To ADD\n \n # Get Access keys from command line \n accessKey = self.accessKey\n secretAccessKey = self.secretAccessKey\n\n try:\n #Creating S3 Connection using Access and Secrect access key\n conn = S3Connection(accessKey, secretAccessKey)\n # Connecting to specified bucket\n b = conn.get_bucket('case3')\n #Initializing Key\n k = Key(b)\n #Uploading pickle and model performance files to S3 Bucket\n onlyfiles = pd.read_csv(run_models().output().path)['0'].tolist()\n for i in onlyfiles:\n k.key = i\n k.set_contents_from_filename(i)\n k.set_acl('public-read')\n except:\n print(\"Amazon credentials or location is invalid\")","def ingest(self):\n datetime_retrieved = datetime.now()\n prefix = self.prefix_template.format(**self.feed, year=datetime_retrieved.strftime('%Y'), month=datetime_retrieved.strftime('%m'))\n fp = self.generate_fp(\n template='{feedname}_{datetime_retrieved}',\n feedname=self.feed['feedname'],\n datetime_retrieved=datetime_retrieved\n )\n\n url_to_request = self.url_dict[(self.feed['state'],self.feed['feedname'])]\n try:\n r = requests.get(url_to_request)\n if r.status_code == 200:\n data_to_write = r.content\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\n self.print_func('Raw data ingested from {} to {} at {} UTC'.format(url_to_request, prefix+fp, datetime_retrieved))\n else:\n self.print_func('Received status code {} from {} feed.'.format(r.status_code,self.feed['feedname']))\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))\n return\n except BaseException as e:\n data_to_write = f'The feed at {datetime_retrieved.isoformat()}.'.encode('utf-8')\n fp += '__FEED_NOT_RETRIEVED'\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\n self.print_func('We could not ingest data from {} at {} UTC'.format(url_to_request, datetime_retrieved))\n raise e\n\n # trigger semi-parse ingest\n if self.feed['pipedtosandbox'] == True:\n self.print_func('Trigger {} for {}'.format(self.lambda_to_trigger, self.feed['feedname']))\n lambda_client = self.s3helper.session.client('lambda')\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\n response = lambda_client.invoke(\n FunctionName=self.lambda_to_trigger,\n InvocationType='Event',\n LogType='Tail',\n ClientContext='',\n Payload=json.dumps(data_to_send).encode('utf-8')\n )\n self.print_func(response)\n else:\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\n\n # trigger ingest to socrata\n if self.feed['pipedtosocrata'] == True:\n self.print_func('Trigger {} for {}'.format(self.socrata_lambda_to_trigger, self.feed['feedname']))\n lambda_client = self.s3helper.session.client('lambda')\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\n response = lambda_client.invoke(\n FunctionName=self.socrata_lambda_to_trigger,\n InvocationType='Event',\n LogType='Tail',\n ClientContext='',\n Payload=json.dumps(data_to_send).encode('utf-8')\n )\n self.print_func(response)\n else:\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))","def download_data_from_s3(bucket_name,\n filter_vals=[''],\n condition_func=lambda filename: True,\n num_threads=20):\n\n # simple method for threads to pull from a queue and download JSON files\n def download_object(queue):\n while True:\n obj = queue.get()\n if obj is None:\n break\n obj.Object().download_file(obj.key.split(\"/\")[-1])\n # TODO: test for files with prefixes here\n queue.task_done()\n\n cwd = Path.cwd()\n data_dir = cwd / 'data'\n # try:\n os.makedirs(data_dir, exist_ok=True)\n # except FileExistsError:\n # pass\n os.chdir(data_dir)\n\n # create a queue for objects that need to be copied\n # and spawn threads to copy them concurrently\n download_queue = Queue(maxsize=0)\n workers = []\n for worker in range(num_threads):\n worker = Thread(target=download_object, args=(download_queue, ))\n worker.setDaemon(True)\n worker.start()\n workers.append(worker)\n\n # loop through the files in the bucket and add them to the queue if they\n # satisfy the condition_func\n s3 = boto3.resource(\"s3\")\n bucket = s3.Bucket(bucket_name)\n for prefix in filter_vals:\n for obj in bucket.objects.filter(Prefix=prefix):\n filename = obj.key.split(\"/\")[-1]\n if condition_func(filename) and not (data_dir / filename).exists():\n download_queue.put(obj)\n\n # wait for the queue to be empty, then join all threads\n download_queue.join()\n for _ in range(num_threads):\n download_queue.put(None)\n for worker in workers:\n worker.join()\n\n os.chdir(cwd)","def create_thumbnails():\n bucket = BASE_BUCKET + ARG.MANIFOLD\n result = S3_CLIENT.list_objects(Bucket=bucket, Prefix=PREFIX + \"/\", Delimiter=\"/\")\n lev1 = result.get('CommonPrefixes')\n for lev1pre in tqdm(lev1, desc=\"Prefixes\"):\n bpre = lev1pre.get('Prefix').split(\"/\")[-2]\n COUNT[\"Prefixes\"] += 1\n #result2 = S3_CLIENT.list_objects(Bucket=bucket, Prefix=\"/\".join([PREFIX, bpre]) + \"/\",\n # Delimiter=\"/\")\n paginator = S3_CLIENT.get_paginator(\"list_objects\")\n pages = paginator.paginate(Bucket=bucket, Prefix=\"/\".join([PREFIX, bpre]) + \"/\",\n Delimiter=\"/\")\n for page in pages:\n COUNT[\"Pages\"] += 1\n lev2 = page.get('CommonPrefixes')\n for lev2pre in lev2:\n body = lev2pre.get('Prefix').split(\"/\")[-2]\n COUNT[\"Body IDs\"] += 1\n if ARG.WRITE:\n invoke_lambda(bucket, body)\n else:\n LOGGER.debug(\"/\".join([bucket, bpre, body]))\n print(COUNT)","def preprocess(event, context):\n # create file in DDB\n file_id = utils.generate_id()\n file_request = json.loads(event.get('body'))\n FileModel.create({\n 'id': file_id,\n 'name': file_request.get('name')\n })\n LOGGER.debug('Files item created. service=ddb method=put_item id={}'.format(file_id))\n # generate signed URL for posting file\n url = S3_CLIENT.generate_presigned_url(\n ClientMethod='put_object',\n Params={\n 'Bucket': runtime_context.BUCKET_NAME,\n 'Key': file_id\n },\n ExpiresIn=runtime_context.EXPIRATION\n )\n LOGGER.debug('Presigned URL generated. service=s3 method=put_object id={}'.format(file_id))\n # send back the signed url\n return {\n \"statusCode\": 200,\n \"body\": json.dumps({\n 'id': file_id,\n 'url': url\n }),\n # CORS header\n \"headers\": {\n \"Access-Control-Allow-Origin\": \"*\"\n }\n }","def lambda_handler(event, context):\n # get the image data\n if 'queryStringParameters' in event:\n image = event['queryStringParameters']['base64image']\n k = event['queryStringParameters']['k'] # number of similar images\n\n else:\n image = event['base64image']\n k = event['k'] # number of similar images\n \n # connect to elastic search\n es = connect_to_ES(ES_ENDPOINT)\n\n # get the image features from the sagemaker endpoint\n features = extract_features(image)\n uris = search_es(es, features, k)\n presigned_uris = create_presigned_url(uris, expiration=3600*24*2)\n\n return {\n 'statusCode': 200,\n 'headers':{'Content-Type':'application/json'},\n 'body': json.dumps({'images': presigned_uris})\n }","def lambda_handler(event, context):\n LOGGER.debug(\n \"Processing event: %s\",\n json.dumps(event, indent=2)\n if LOGGER.isEnabledFor(logging.DEBUG)\n else \"--data-hidden--\",\n )\n sfn_client = boto3.client(\"stepfunctions\")\n s3_resource = boto3.resource(\"s3\")\n\n all_accounts = get_all_accounts()\n account_file = get_file_from_s3(get_details_from_event(event), s3_resource)\n\n processed_account_list = process_account_list(\n all_accounts=all_accounts,\n accounts_in_file=account_file.get(\"content\", {}).get(\"accounts\", []),\n )\n\n if processed_account_list:\n start_executions(\n sfn_client,\n processed_account_list,\n codepipeline_execution_id=account_file.get(\"execution_id\"),\n request_id=context.aws_request_id,\n )\n return event","def lambda_handler(event, context):\n\n # S3 resource invocation\n s3_resource = boto3.resource('s3')\n # S3 bucket selection\n data_bucket_name = \"put_here_data_bucket_name\"\n # The SageMaker runtime is what allows us to invoke the endpoint that we've created.\n runtime = boto3.Session().client('sagemaker-runtime')\n\n request_body_dict = json.loads(event['body'])\n\n # Now we use the SageMaker runtime to invoke our endpoint, sending both ticker and start date if given\n if request_body_dict['start_date'] != \"\":\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\n ContentType='application/json', # The data format that is expected\n Body=encode_future_request(request_body=request_body_dict,\n s3_resource=s3_resource,\n s3_bucket=data_bucket_name, prefix='valid'))\n # or only ticker name if no start date has been provided\n elif request_body_dict['ticker_name'] != \"\":\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\n ContentType='application/json', # The data format that is expected\n Body=encode_request(ticker_name=request_body_dict['ticker_name'],\n s3_resource=s3_resource, s3_bucket=data_bucket_name,\n prefix='train'))\n\n # The response is an HTTP response whose body contains the result of our inference\n result = response['Body'].read().decode('utf-8')\n\n # print data for debug purposes\n print(result)\n\n return {\n 'statusCode': 200,\n 'headers': {'Content-Type': 'application/json', 'Access-Control-Allow-Origin': '*'},\n 'body': str(result)\n }","def main(event, context):\n s3 = boto3.resource('s3')\n try:\n s3.meta.client.download_file(S3_BUCKET, S3_EDITORS_KEY, '/tmp/local.json')\n except ClientError as e:\n print('Error downloading file from S3 {}'.format(e))\n return {'statusCode': 400, 'body': json.dumps({'status': str(e)})}\n try:\n user = event['pathParameters']['user']\n attributes = json.loads(event['body'])\n age = attributes['age']\n editor = attributes['editor']\n except KeyError as error:\n print('Problem getting data from request: {}'.format(error))\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}\n with open('/tmp/local.json', 'a') as local:\n data = dict(\n user=user,\n age=age,\n editor=editor,\n now=datetime.now().isoformat(' ')\n )\n json.dump(data, local)\n local.write('\\n')\n try:\n s3.meta.client.upload_file('/tmp/local.json', S3_BUCKET, S3_EDITORS_KEY)\n return {'statusCode': 200, 'body': json.dumps({'status': 'success'})}\n except ClientError as error:\n print('Problem uploading file to S3: {}'.format(error))\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}","def deployLambdaFunctionFromZip(name:str, iamRoleARN:str, handler:str, package:Path, runtime='python3.7') -> str:\n packageContent = package.read_bytes()\n client = boto3.client('lambda')\n try:\n response = client.create_function(\n Role = iamRoleARN,\n FunctionName = name,\n Runtime = runtime,\n Handler = handler,\n Code = {\n 'ZipFile': packageContent\n }\n )\n except ClientError as e:\n raise LambdaDeploymentException(e)\n if not 'FunctionArn' in response:\n raise LambdaDeploymentException('\\\"FunctionArn\\\" is not contained in the response. ', repr(response))\n return response['FunctionArn']","def _zip_files(self):\n\n zip_file = Path(self.build_directory.parent).joinpath(\n self.package_name + '.zip'\n )\n logger.info('Creating zip file: %s', zip_file)\n\n shutil.make_archive(zip_file.with_suffix(''), 'zip', self.build_directory)\n shutil.move(str(zip_file), self.build_directory)","def process_data() -> None:\n yesterday_date = std.get_yesterday()\n s3_working_bucket = \"stwit-working-bucket\"\n s3_processed_bucket = \"stwit-processed-bucket\"\n\n df_tweets = process_tweets(s3_working_bucket, yesterday_date)\n df_users = process_users(s3_working_bucket, yesterday_date)\n df_stocks = process_stocks(s3_working_bucket, yesterday_date)\n\n logging.debug(\"Calling filter_tweets function.\")\n df_tweets, df_users = stp.filter_tweets(df_tweets, df_users)\n\n logging.debug(\"Calling remove_duplicate_tweets function.\")\n df_tweets, df_users = stp.remove_duplicate_tweets(df_tweets, df_users)\n\n logging.debug(\"Calling export_twitter_csv function with df_tweets data.\")\n stdm.export_csv(df_tweets, s3_processed_bucket, yesterday_date, \"twitter\", \"tweets\")\n\n logging.debug(\"Calling export_twitter_csv function with df_users data.\")\n stdm.export_csv(df_users, s3_processed_bucket, yesterday_date, \"twitter\", \"users\")\n\n logging.debug(\"Calling export_stocks_csv function.\")\n stdm.export_csv(df_stocks, s3_processed_bucket, yesterday_date, \"stocks\")","def deploy(options, config):\n processor = options.processor\n # Terraform apply only to the module which contains our lambda functions\n targets = set()\n packages = []\n\n def _publish_version(packages):\n \"\"\"Publish Lambda versions\"\"\"\n for package in packages:\n if package.package_name in {'athena_partition_refresh', 'threat_intel_downloader'}:\n published = LambdaVersion(\n config=config, package=package, clustered_deploy=False).publish_function()\n else:\n published = LambdaVersion(config=config, package=package).publish_function()\n if not published:\n return False\n\n return True\n\n def _deploy_rule_processor():\n \"\"\"Create Rule Processor package and publish versions\"\"\"\n rule_package = RuleProcessorPackage(config=config, version=current_version)\n rule_package.create_and_upload()\n return rule_package\n\n def _deploy_alert_processor():\n \"\"\"Create Alert Processor package and publish versions\"\"\"\n alert_package = AlertProcessorPackage(config=config, version=current_version)\n alert_package.create_and_upload()\n return alert_package\n\n def _deploy_athena_partition_refresh():\n \"\"\"Create Athena Partition Refresh package and publish\"\"\"\n athena_package = AthenaPackage(config=config, version=current_version)\n athena_package.create_and_upload()\n return athena_package\n\n def _deploy_apps_function():\n \"\"\"Create app integration package and publish versions\"\"\"\n app_integration_package = AppIntegrationPackage(config=config, version=apps_version)\n app_integration_package.create_and_upload()\n return app_integration_package\n\n def _deploy_threat_intel_downloader():\n \"\"\"Create Threat Intel downloader package and publish version\"\"\"\n threat_intel_package = ThreatIntelDownloaderPackage(\n config=config,\n version=ti_downloader_version\n )\n threat_intel_package.create_and_upload()\n return threat_intel_package\n\n if 'all' in processor:\n targets.update({'module.stream_alert_{}'.format(x) for x in config.clusters()})\n\n targets.update({\n 'module.app_{}_{}'.format(app_name, cluster)\n for cluster, info in config['clusters'].iteritems()\n for app_name in info['modules'].get('stream_alert_apps', {})\n })\n\n packages.append(_deploy_rule_processor())\n packages.append(_deploy_alert_processor())\n packages.append(_deploy_apps_function())\n\n # Only include the Athena function if it exists and is enabled\n athena_config = config['lambda'].get('athena_partition_refresh_config')\n if athena_config and athena_config.get('enabled', False):\n targets.add('module.stream_alert_athena')\n packages.append(_deploy_athena_partition_refresh())\n\n else:\n\n if 'rule' in processor:\n targets.update({'module.stream_alert_{}'.format(x) for x in config.clusters()})\n\n packages.append(_deploy_rule_processor())\n\n if 'alert' in processor:\n targets.update({'module.stream_alert_{}'.format(x) for x in config.clusters()})\n\n packages.append(_deploy_alert_processor())\n\n if 'apps' in processor:\n\n targets.update({\n 'module.app_{}_{}'.format(app_name, cluster)\n for cluster, info in config['clusters'].iteritems()\n for app_name in info['modules'].get('stream_alert_apps', {})\n })\n\n packages.append(_deploy_apps_function())\n\n if 'athena' in processor:\n targets.add('module.stream_alert_athena')\n\n packages.append(_deploy_athena_partition_refresh())\n\n if 'threat_intel_downloader' in processor:\n targets.add('module.threat_intel_downloader')\n packages.append(_deploy_threat_intel_downloader())\n\n # Regenerate the Terraform configuration with the new S3 keys\n if not terraform_generate(config=config):\n return\n\n # Run Terraform: Update the Lambda source code in $LATEST\n if not helpers.tf_runner(targets=targets):\n sys.exit(1)\n\n # TODO(jack) write integration test to verify newly updated function\n\n # Publish a new production Lambda version\n if not _publish_version(packages):\n return\n\n # Regenerate the Terraform configuration with the new Lambda versions\n if not terraform_generate(config=config):\n return\n\n # Apply the changes to the Lambda aliases\n helpers.tf_runner(targets=targets)","def create_bagit_stream(dir_name, payload_info_list):\n zip_file = zipstream.ZipFile(mode=\"w\", compression=zipstream.ZIP_DEFLATED)\n _add_path(dir_name, payload_info_list)\n payload_byte_count, payload_file_count = _add_payload_files(\n zip_file, payload_info_list\n )\n tag_info_list = _add_tag_files(\n zip_file, dir_name, payload_info_list, payload_byte_count, payload_file_count\n )\n _add_manifest_files(zip_file, dir_name, payload_info_list, tag_info_list)\n _add_tag_manifest_file(zip_file, dir_name, tag_info_list)\n return zip_file","def _add_files(self, category, files, session, bucket=None):\n\n with session[category].make_commit('master') as commit:\n for filename, content in files.items():\n if bucket:\n commit.put_file_url(\n filename,\n 's3://%s/%s' % (bucket, content)\n )\n else:\n commit.put_file_bytes(\n filename,\n content\n )","def glue_process_handler(event, context) -> None:\n s3_bucket_name = \"\"\n incoming_file = \"\"\n inbound_folder = \"\"\n glue_job = boto3.client(\"glue\")\n\n logger.debug(\"## ENVIRONMENT VARIABLES: %s\", os.environ)\n logger.debug(\"## EVENT: %s\", event)\n\n try:\n logger.debug(\" Entering in to Try Block\")\n (s3_bucket_name, s3_file) = get_file_from_s3_trigger(event)\n if s3_bucket_name is None or s3_file is None:\n logger.error(\"Exiting. Could not retrieve a file name from event: %r\", event)\n return\n\n inbound_folder = os.path.dirname(s3_file)\n incoming_file = s3_file\n logger.info(\n \"From Try Block : s3_bucket_name = %s, incoming_file = %s\",\n s3_bucket_name,\n incoming_file,\n )\n except:\n # when your approach is to run lambda manually and not through s3 trigger event, this will be helpful.\n # Currently below hardcoded variables are not defined in function, but while unit testing you can do so if you wish and test.\n s3_bucket_name = os.environ[\"INBOUND_BUCKET_NAME\"]\n inbound_folder = os.environ[\"INBOUND_FOLDER\"]\n incoming_file = get_first_file_path(s3_bucket_name, inbound_folder)\n logger.error(\n \"From Exception Block : s3_bucket_name = %s, incoming_file = %s, inbound_folder = %s\",\n s3_bucket_name,\n incoming_file,\n inbound_folder,\n )\n\n if len(incoming_file) == 0 or None: # handle None output (incoming file= '') from event\n logger.error(\n \"In S3 Bucket : %s, there is a no file to process in the inbound folder : %s , program will EXIT now..\",\n s3_bucket_name,\n inbound_folder,\n )\n return\n\n result = make_arguments_from_database(incoming_file, s3_bucket_name)\n\n if result is not None:\n job_args = result[0]\n # earlier it was an environment variable in lambda but now retrived from database\n glue_job_name = result[1]\n logger.info(\"Calling Glue Job:: %s, with arguments %r\", glue_job_name, job_args)\n\n response = \"\"\n\n try:\n response = glue_job.start_job_run(JobName=glue_job_name, Arguments=job_args)\n except ParamValidationError:\n pass\n\n if \"JobRunId\" in response:\n jobId = response[\"JobRunId\"]\n logger.info(\"%s job run with id %s\", glue_job_name, response[\"JobRunId\"])\n _ = glue_job.get_job_run(JobName=glue_job_name, RunId=jobId)","def lambda_handler(event, context):\n qpmBucket = event['queryStringParameters']['bucket']\n fn_bucket = list_s3_objects(qpmBucket)\n print(fn_bucket)\n \n \n return {\n \"statusCode\": 200,\n \"body\": json.dumps(str(fn_bucket)),\n }","def test3():\n event = {\n \"Records\": [\n {\n \"s3\": {\n \"s3SchemaVersion\": \"1.0\",\n \"configurationId\": \"b0efd5b1-cc92-47b4-8501-1c34f5eba235\",\n \"bucket\": {\n \"name\": \"/tmp/\"\n },\n \"object\": {\n \"key\": \"tic000129646247_s0001-1-1_stlc.fits\"\n }\n }\n }\n ]\n}\n context = {}\n \n out = lambda_handler(event, context)\n \n assert out[\"statusCode\"] == 200","def test4():\n event = {\n \"Records\": [\n {\n \"s3\": {\n \"s3SchemaVersion\": \"1.0\",\n \"configurationId\": \"b0efd5b1-cc92-47b4-8501-1c34f5eba235\",\n \"bucket\": {\n \"name\": \"/tmp/\"\n },\n \"object\": {\n \"key\": \"tic000147203645/tic000147203645_s0001-1-1_stlc.fits\"\n }\n }\n }\n ]\n}\n context = {}\n \n out = lambda_handler(event, context)\n \n assert out[\"statusCode\"] == 200","def create_mock_files(self,\n project_id=\"DEV-test\",\n count=3,\n prefix=\"mock_data_file\",\n file_format=\"dcm\",\n outdir=\".\",\n msg = \"This is a mock data file for testing purposes. Delete me!\",\n write_tsv = True\n ):\n prog,proj = project_id.split(\"-\")\n authz = [\"/programs/{}/projects/{}\".format(prog,proj)]\n acl = [prog,proj]\n\n mfiles = {'file_name':[],'md5sum':[],\"file_size\":[],\"object_id\":[],\"storage_urls\":[],\"acl\":[],\"authz\":[]}\n for i in range(count):\n file_name = \"{}_{}.{}\".format(prefix,i+1,file_format)\n object_id = str(uuid.uuid4())\n mfiles['file_name'].append(file_name)\n mfiles['object_id'].append(object_id)\n mfiles['authz'].append(authz)\n mfiles['acl'].append(acl)\n\n\n output = \"{}/{}\".format(outdir,file_name)\n os.system(\"touch {}\".format(output))\n file_msg =\"{} File {} of {}. {} with object_id {}.\".format(msg,i+1,count,file_name,object_id)\n cmd = 'echo \"{}\" > {}'.format(file_msg,file_name)\n os.system(cmd)\n\n with open(output, 'rb') as file_to_check:\n file_contents = file_to_check.read()\n #cmd = \"!md5 mock_data_file_{}.{}\".format(i+1,file_format))\n md5 = hashlib.md5(file_contents).hexdigest() #check in shell: !md5 mock_data_file_3.dcm\n\n mfiles['md5sum'].append(md5)\n mfiles['file_size'].append(os.stat(output).st_size)\n urls=\"s3://this-is-a-fake-url-for:{}\".format(file_name)\n mfiles['storage_urls'].append([urls])\n\n return mfiles","def transform_s3_xsl(**kwargs):\n access_id = kwargs.get(\"access_id\")\n access_secret = kwargs.get(\"access_secret\")\n bucket = kwargs.get(\"bucket\")\n dest_prefix = kwargs.get(\"destination_prefix\")\n source_prefix = kwargs.get(\"source_prefix\")\n if kwargs.get(\"dag\"):\n run_id = kwargs.get(\"dag\").dag_id\n else:\n run_id = \"no-dag-provided\"\n\n saxon = prepare_saxon_engine()\n transformed = etree.Element(\"collection\")\n transformed.attrib[\"dag-id\"] = run_id\n transformed.attrib[\"dag-timestamp\"] = kwargs.get(\"timestamp\", \"no-timestamp-provided\")\n xsl = \"https://raw.github.com/{repo}/{branch}/{filename}\".format(\n repo=kwargs.get(\"xsl_repository\", \"tulibraries/aggregator_mdx\"),\n branch=kwargs.get(\"xsl_branch\", \"main\"),\n filename=kwargs.get(\"xsl_filename\")\n )\n\n for s3_key in process.list_s3_content(bucket, access_id, access_secret, source_prefix):\n logging.info(\"Transforming File %s\", s3_key)\n s3_content = process.get_s3_content(bucket, s3_key, access_id, access_secret)\n s3_xml = etree.fromstring(s3_content)\n for record in s3_xml.iterchildren():\n record_id = record.get(\"airflow-record-id\")\n logging.info(\"Transforming Record %s\", record_id)\n result_str = subprocess.check_output([\"java\", \"-jar\", saxon, \"-xsl:\" + xsl, \"-s:-\"], input=etree.tostring(record, encoding=\"utf-8\"))\n result = etree.fromstring(result_str)\n result.attrib[\"airflow-record-id\"] = record_id\n transformed.append(result)\n filename = s3_key.replace(source_prefix, dest_prefix)\n transformed_xml = etree.tostring(transformed, encoding=\"utf-8\")\n process.generate_s3_object(transformed_xml, bucket, filename, access_id, access_secret)","def main():\n\n parser = get_args()\n args = parser.parse_args()\n\n if args.verbose:\n LOG.setLevel(logging.INFO)\n LOG.info('Verbose: on')\n else:\n ## If not verbose, turn down boto3.\n boto3.set_stream_logger(name='boto3', level=logging.WARNING)\n boto3.set_stream_logger(name='botocore', level=logging.WARNING)\n logging.getLogger(\"requests\").setLevel(logging.WARNING)\n\n ## Ensure credentials.\n if not args.credentials:\n die_screaming('need a credentials argument')\n LOG.info('Will use credentials: ' + args.credentials)\n ## Ensure directory.\n if not args.directory:\n die_screaming('need a directory argument')\n args.directory = args.directory.rstrip('//')\n LOG.info('Will operate in: ' + args.directory)\n ## Ensure bucket.\n if not args.bucket:\n die_screaming('need a bucket argument')\n bucket, slash, toppath = args.bucket.partition('/')\n if toppath != '':\n LOG.info('Will put to bucket: ' + bucket + '; with path: ' + toppath)\n else:\n LOG.info('Will put to bucket at top level: ' + bucket)\n ## Ensure mimetype metadata.\n if not args.mimetypes:\n LOG.info('Will use internal mimetype defaults')\n else:\n LOG.info('TODO: Will get mimetype metadata from: ' + args.metadata)\n ## Ensure bucket location.\n if not args.location:\n args.location = 'us-east-1'\n LOG.info('Will use S3 bucket location default: ' + args.location)\n else:\n LOG.info('Will use S3 bucket location: ' + args.location)\n\n ## Extract S3 credentials.\n creds = None\n with open(args.credentials) as chandle:\n creds = json.loads(chandle.read())\n #LOG.info(creds)\n\n s3 = boto3.resource('s3', region_name=args.location,\n aws_access_key_id=creds['accessKeyId'],\n aws_secret_access_key=creds['secretAccessKey'])\n\n # s3 = boto3.resource(\"s3\", creds['accessKeyId'], creds['secretAccessKey'])\n\n #s3.Object('mybucket', 'hello.txt').put(Body=open('/tmp/hello.txt', 'rb'))\n\n ## Walk tree.\n for curr_dir, dirs, files in os.walk(args.directory):\n\n ## We can navigate up if we are not in the root.\n relative_to_start = curr_dir.rstrip('//')[len(args.directory):]\n relative_to_start = relative_to_start.lstrip('//')\n LOG.info('curr_dir: ' + curr_dir + ' (' + relative_to_start + ')')\n\n ## Note files and directories.\n for fname in files:\n\n ## Get correct mime type.\n fext = os.path.splitext(fname)[1].lstrip('.')\n mime = MIMES.get('') # start with default\n if MIMES.get(fext, False):\n mime = MIMES.get(fext)\n\n ## Figure out S3 path/key and final filename, keeping in\n ## mind that relative_to_Start can be empty if root.\n s3path = fname\n if relative_to_start:\n s3path = relative_to_start + '/' + fname\n filename = os.path.join(curr_dir, fname)\n\n tags = {}\n if args.number:\n tags['build-number'] = args.number\n if args.pipeline:\n tags['build-pipeline'] = args.pipeline\n tags_str = urllib.parse.urlencode(tags)\n\n ## Visual check.\n LOG.info('file: ' + filename)\n if toppath != '':\n s3path = toppath + '/' + s3path\n LOG.info(' -> [' + bucket + '] ' + s3path + \\\n '(' + mime + ', ' + tags_str + ')')\n\n ## Create the new object that we want.\n s3bucket = s3.Bucket(bucket)\n multipart_upload(filename, s3bucket, s3path, content_type=mime, metadata=tags, policy=\"public-read\")\n\n # newobj = s3.Object(args.bucket, s3path)\n # outfile = open(filename, 'rb')\n # newobj.put(Body=outfile, \\\n # ContentType=mime, \\\n # Metadata=tags,\n # ACL='public-read') #Tagging=tags_str)\n\n # outbod = open(os.path.join(curr_dir, fname), 'rb')\n # .put(Body=outbod, 'rb')\n\n # for dname in dirs:\n # #LOG.info('dir: ' + os.path.join(curr_dir, dname))\n # pass","def lambda_handler(event, context):\r\n print(\"Function triggered\")\r\n if 'local' == environ.get('APP_STAGE'):\r\n dynamodb = boto3.resource('dynamodb', endpoint_url='http://localhost:8000')\r\n table = dynamodb.Table(\"audiobooksDB\")\r\n else:\r\n dynamodb = boto3.resource('dynamodb')\r\n table = dynamodb.Table(environ[\"TABLE_NAME\"])\r\n s3 = boto3.client('s3')\r\n \r\n s3FileName = event['Records'][0]['s3']['object']['key'].replace(\"+\", \" \")\r\n bucketName = event['Records'][0]['s3']['bucket']['name']\r\n # Download file from the S3 bucket\r\n try:\r\n book = s3.get_object(Bucket=bucketName, Key=s3FileName)\r\n print(\"Loading file from S3 bucket\")\r\n bookContent = book[\"Body\"].read().decode(\"utf-8\", errors=\"ignore\").split(\"------ END METADATA --------\")\r\n metadata = json.loads(bookContent[0])\r\n bookContent = bookContent[1]\r\n # Polly accepts 100,000 chars at a time. We make chunks of 99990 because we put the part 1 maker in\r\n bookContent = [bookContent[i:i+99990] for i in range(0, len(bookContent), 99990)]\r\n except Exception as e:\r\n print(\"Error while downloading file \" + s3FileName + \"from the S3 bucket \" + bucketName)\r\n raise\r\n # Add part marker to book\r\n if len(bookContent) > 1:\r\n count = 0\r\n for chunk in bookContent:\r\n chunk += \"Part \" + str(count)\r\n hasShortPart = False\r\n audioURLs = []\r\n pollyClient = boto3.client('polly')\r\n for chunk in bookContent:\r\n try:\r\n chunk = convert_text_to_ssml(chunk)\r\n print(\"Asking Polly to record the current chunk\")\r\n response = pollyClient.start_speech_synthesis_task(\r\n Engine='standard',\r\n LanguageCode='en-GB',\r\n OutputFormat='mp3',\r\n OutputS3BucketName=environ['AUDIO_S3_BUCKET'],\r\n Text=chunk,\r\n TextType='ssml',\r\n VoiceId='Brian',\r\n SnsTopicArn=environ[\"SNS_TOPIC\"],\r\n )\r\n\r\n audioURLs.append(response[\"SynthesisTask\"][\"OutputUri\"].split(\"amazonaws.com/\")[-1])\r\n if len(chunk) <= 2000:\r\n hasShortPart = True\r\n print(response)\r\n print(\"Polly was successfully asked to to record the current chunk\")\r\n except Exception as e:\r\n print(\"Error parsing chunk or requesting Polly to say it\")\r\n raise\r\n try:\r\n randomString = ''.join([random.choice(string.ascii_letters \r\n + string.digits) for n in range(32)]) \r\n audiobook = {\r\n \"id\": randomString,\r\n \"bookName\": metadata[\"bookName\"],\r\n \"imageURL\": metadata[\"imageURL\"],\r\n \"authorName\":metadata[\"authorName\"],\r\n \"genres\": metadata[\"genres\"],\r\n \"audioURLs\": audioURLs,\r\n \"description\": metadata[\"description\"],\r\n \"hidden\": False,\r\n \"hasShortPart\": hasShortPart,\r\n \"addedAt\": Decimal(datetime.now().timestamp())\r\n }\r\n response = table.put_item(\r\n Item=audiobook\r\n )\r\n except Exception as e:\r\n print(\"Exception inserting into database\")\r\n print(audiobook)\r\n print(response)\r\n raise\r\n return {\r\n \"statusCode\": 200,\r\n \"body\": json.dumps({\r\n \"message\": audioURLs\r\n }),\r\n }","def main(access_key: str, secret_key: str) -> None:\n # Check for duplicate seals files\n validate_json()\n\n # Check for files we need to upload\n seals_to_upload = find_new_seals(access_key, secret_key)\n\n # Generate new file sizes and upload them to the server\n for seal in list(seals_to_upload):\n print(f\"Seal: {seal}\")\n fn = seal.split(\"/\")[-1]\n for size in sizes:\n orig = f\"{ROOT_DIR}/seals/orig/{fn}\"\n fp = f\"{ROOT_DIR}/seals/{size}/{fn}\"\n aws_path = f\"v2/{size}/{fn}\"\n\n if size == \"orig\":\n print(f\"Uploading to: https://seals.free.law/{aws_path}\")\n upload(orig, aws_path, access_key, secret_key)\n else:\n resize_image(orig, size)\n aws_path = aws_path.replace(\".svg\", \".png\")\n fp = fp.replace(\".svg\", \".png\")\n print(f\"Uploading to: https://seals.free.law/{aws_path}\")\n upload(fp, aws_path, access_key, secret_key)","def _add_manifest_files(zip_file, dir_name, payload_info_list, tag_info_list):\n for checksum_algorithm in _get_checksum_algorithm_set(payload_info_list):\n _add_tag_file(\n zip_file,\n dir_name,\n tag_info_list,\n _gen_manifest_file_tup(payload_info_list, checksum_algorithm),\n )","def make_arguments_from_database(\n s3_inbound_file: str, s3_bucket_name: str\n) -> (Dict[str, str], str):\n # 'secret_name' is the only existing environment variable for lambda function\n secret_name = os.environ[\"SECRET_NAME\"]\n\n incoming_file_name = s3_inbound_file.split(\"/\")[-1]\n logger.info(f\"incoming_file: %s\", incoming_file_name)\n # gets full string before 3rd '_' character in incoming file and checks if any name_pattern exists in db\n incoming_file_name_pattern = get_file_name_pattern(incoming_file_name)\n logger.info(f\"incoming_file_name_pattern: %s\", incoming_file_name_pattern)\n\n client_file: ClientFile = ClientFileRepo(secret_name=secret_name).get_client_file_from_name_pattern(incoming_file_name_pattern)\n logger.info(f\"client_file : %s\", client_file)\n\n if client_file is not None:\n logger.info(\n \"incoming file name '%s' matches with file name pattern '%s' in client files table \",\n incoming_file_name,\n client_file.name_pattern,\n )\n\n job_args = {\n # preparing arguments for glue job 'irxah_process_incoming_<client_name>_file'\n \"--SECRET_NAME\": os.environ[\"SECRET_NAME\"], # for connecting db (retrieved as lambda environment variable)\n \"--S3_FILE\": s3_inbound_file, # file_name with path (retrieved from s3 trigger event)\n \"--S3_FILE_BUCKET\": s3_bucket_name, # s3_bucket_name (retrieved from s3 trigger event)\n \"--CLIENT_FILE_ID\": str(client_file.client_file_id), # unique id of client file (retrieved from db)\n # we are passing a dummy job key as generation of standard file (GILA) from custom file (BCBAZ) will not have a unique unzip key.\n # by this, we are avoiding 'irxah_process_incoming_file' glue job failure\n \"--UNZIP_JOB_DETAIL_KEY\": \"0\",\n }\n\n glue_job_name = client_file.glue_job_name\n\n return job_args, glue_job_name\n\n logger.info(\n \"Incoming file '%s' name doesn't match with any of the expected file name pattern in db. \"\n \"Hence, it will not be processed further. It remains as is in 'inbound/txtfiles' folder.\",\n incoming_file_name,\n )\n return None","def setup_test_wf(s3_prefix, paths_list, test_name, workdirs_to_keep=None):\n\n import os\n import shutil\n from CPAC.pipeline import nipype_pipeline_engine as pe\n from CPAC.utils.datasource import check_for_s3\n from CPAC.utils.interfaces.datasink import DataSink\n\n test_dir = os.path.join(os.getcwd(), test_name)\n work_dir = os.path.join(test_dir, \"workdir\")\n out_dir = os.path.join(test_dir, \"output\")\n\n if os.path.exists(out_dir):\n try:\n shutil.rmtree(out_dir)\n except:\n pass\n\n if os.path.exists(work_dir):\n for dirname in os.listdir(work_dir):\n if workdirs_to_keep:\n for keepdir in workdirs_to_keep:\n print(\"{0} --- {1}\\n\".format(dirname, keepdir))\n if keepdir in dirname:\n continue\n try:\n shutil.rmtree(os.path.join(work_dir, dirname))\n except:\n pass\n\n local_paths = {}\n for subpath in paths_list:\n s3_path = os.path.join(s3_prefix, subpath)\n local_path = check_for_s3(s3_path, dl_dir=test_dir)\n local_paths[subpath] = local_path\n\n wf = pe.Workflow(name=test_name)\n wf.base_dir = os.path.join(work_dir)\n wf.config['execution'] = {\n 'hash_method': 'timestamp',\n 'crashdump_dir': os.path.abspath(test_dir)\n }\n\n ds = pe.Node(DataSink(), name='sinker_{0}'.format(test_name))\n ds.inputs.base_directory = out_dir\n ds.inputs.parameterization = True\n\n return (wf, ds, local_paths)","def _add_payload_files(zip_file, payload_info_list):\n payload_byte_count = 0\n payload_file_count = 0\n for payload_info_dict in payload_info_list:\n zip_file.write_iter(payload_info_dict[\"path\"], payload_info_dict[\"iter\"])\n payload_byte_count += payload_info_dict[\"iter\"].size\n payload_file_count += 1\n return payload_byte_count, payload_file_count","def lambda_handler(event, context):\n\n markdown_files = sys.argv[1:]\n logging.info(f'Markdown files to clean = {markdown_files}')\n for file_to_clean in markdown_files:\n clean_file(file_to_clean)\n print(json.dumps(event))\n body = event['body']\n return {\n \"statusCode\": 200,\n \"body\": json.dumps({\n \"message\": \"hello world from aws.\",\n \"commit\": body\n # \"location\": ip.text.replace(\"\\n\", \"\")\n }),\n }","def lambda_handler(event, context):\n print(event)\n \n #Input variables\n aminP = 0.7\n amaxP = 12.0\n durs = [0.75, 1.25, 3, 5, 7]\n min_snr = 3.9\n max_tce = 4\n frac_remain = 0.8\n det_window = 42\n noise_window = 12\n n_sigma = 3.9\n search_bucket = \"tesssearchresults\"\n #---------\n \n cloud = True\n #Local Storage\n local_filename = \"/tmp/mylightcurve.fits\"\n local_detrend_fn = \"/tmp/detrended.fits\"\n out_file = \"/tmp/output.csv\"\n \n b_filename = event['Records'][0]['s3']['object']['key']\n bucket = event['Records'][0]['s3']['bucket']['name'] \n \n #If not in the cloud bucket begins with /, do the following to set up for a test.\n if bucket[0] == \"/\":\n print(\"Not Using cloud.\")\n cloud = False #For testing\n local_filename = bucket + b_filename\n local_dir = \"/Users/smullally/TESS/lambdaSearch/test/tesssearchresults/\"\n local_detrend_fn = local_dir + \"detrended.fits\"\n out_file = local_dir + \"outfile.fits\"\n \n meta = dict()\n \n #Get the information from the light curve file.\n if cloud:\n time, flux, qflags, phead = io.read_lightcurve_lambda(bucket, \\\n b_filename, local_filename)\n else:\n time, flux, qflags, phead = io.read_lightcurve_lambda_local(bucket, \\\n b_filename, local_filename)\n \n #print(time,flux,qflags)\n ticid, camera, sector, ccd = io.read_header(phead)\n\n namestr = \"tic%012u/tic%012u_s%04u-%1u-%1u\" % \\\n (int(ticid), int(ticid), int(sector),int(camera), int(ccd))\n \n #Detrend\n good_time, meddet_flux = ps.clean_timeseries(time, flux, qflags, det_window, \\\n noise_window, n_sigma, sector)\n \n #import matplotlib.pyplot as plt\n #plt.figure()\n #plt.plot(good_time,meddet_flux,'.')\n \n #Take BLS\n results, stats = ps.identifyTces(good_time, meddet_flux, bls_durs_hrs=durs,\\\n minSnr=min_snr, \\\n fracRemain=frac_remain,\\\n maxTces=max_tce, minP=aminP, maxP=amaxP)\n #print(results)\n \n #Now write out results.\n \n bucket_out_name = namestr + \"_plsearch\" + '.csv'\n bucket_detrend_name = namestr + \"_detrend\" + '.fits'\n \n \n io.write_results(out_file, int(ticid), results, stats, **meta)\n io.write_timeseries(local_detrend_fn, good_time, meddet_flux, phead)\n \n if cloud: \n #Write to the S3 bucket.\n s3_client = boto3.client('s3')\n resp = s3_client.upload_file(out_file, search_bucket, bucket_out_name)\n resp = s3_client.upload_file(local_detrend_fn, search_bucket, bucket_detrend_name)\n else:\n resp = \"not cloud\"\n if not os.path.exists(local_dir + \"tic%012u\" % (int(ticid))):\n os.mkdir(local_dir + \"tic%012u\" % (int(ticid)))\n \n try:\n os.remove(local_dir + bucket_out_name)\n except:\n pass\n \n os.rename(out_file, local_dir + bucket_out_name)\n try:\n os.remove(local_dir + bucket_detrend_name)\n except:\n pass\n os.rename(local_detrend_fn, local_dir + bucket_detrend_name)\n \n \n return {\n \"statusCode\": 200,\n \"body\": json.dumps({\n \"outname\": bucket_detrend_name,\n \"response\": str(resp),\n \"period\": str(results[0][0]),\n \"epoch\": str(results[0][1])\n })\n }","def lambda_handler(event, context):\n # EOL char append function\n encode_data = lambda x: \"{data}{eol}\".format(data=json.dumps(x), eol=chr(10)).encode(\"UTF-8\")\n \n # Punk API call\n try:\n logger.debug(\"Requesting api: {api}\".format(api=os.environ[\"API_URL\"]))\n request = r.get(os.environ[\"API_URL\"])\n except Exception as e:\n logger.error(\"An error occured while requesting api: {api}\".format(api=os.environ[\"API_URL\"]))\n raise e\n \n # Send records to kinesis stream\n logger.debug(\"Sending data to stream: {stream}\".format(stream=os.environ[\"STREAM_NAME\"]))\n for data in request.json():\n client.put_record(\n StreamName=os.environ[\"STREAM_NAME\"],\n Data=encode_data(data),\n PartitionKey=\"key\"\n )\n\n return {\n 'statusCode': request.status_code,\n 'body': data\n }","def handle_event(event, context):\n\n try:\n print(\"Received event: \" + json.dumps(event, indent=2))\n\n # grab resources section of event, get task execution ids\n task_execution_arns = event['resources']\n\n # now fetch the input filter info from each task_detail, fire off jobs\n new_files_to_process = []\n for task_execution_arn in task_execution_arns:\n # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/datasync.html#DataSync.Client.describe_task_execution\n response = datasync_client.describe_task_execution(TaskExecutionArn=task_execution_arn)\n print(\"Task execution details: \" + str(response))\n # this will be the location of the data in configured s3 bucket:\n # 'Includes': [\n # {\n # 'FilterType': 'SIMPLE_PATTERN',\n # 'Value': 'string'\n # },\n # ]\n if len(response['Includes']) > 0:\n file = response['Includes'][0]['Value']\n # files typically start with leading '/', strip that leading '/'\n print(\"Got filename:\" + file)\n if file.startswith('/', 0):\n new_files_to_process.append(file.lstrip('/'))\n else:\n new_files_to_process.append(file)\n else:\n print(\"Response didn't contain Includes files...\")\n\n if len(new_files_to_process) == 0:\n print('No files were parsed from input...exiting')\n return\n\n for new_file_to_process in new_files_to_process:\n state_machine_arn = os.environ['STATE_MACHINE_ARN']\n payload = {\"ObjectName\": new_file_to_process}\n json_payload = json.dumps(payload)\n print('Starting bcl2fastq with payload %s' % json_payload)\n #\n response = step_client.start_execution(stateMachineArn=state_machine_arn, input=json_payload)\n print(response)\n\n except Exception as e:\n print(e)\n print('Error handling event. %s' % e)\n raise e","def _generate_manifest(self, input_data_path_list):\n # Given a list of S3 buckets, generate a manifest file\n # [\n # {\"prefix\": \"s3://customer_bucket/some/prefix/\"},\n # \"relative/path/to/data-1\",\n # \"relative/path/data-2\",\n # ...\n # ]\n manifest = []\n shared_prefix, key_path_list = self._get_prefix_and_relative_path(input_data_path_list)\n logger.info(f\"Generating manifest file with shared prefix '{shared_prefix}/' ...\")\n manifest.append({\"prefix\": shared_prefix + \"/\"})\n for relative_key_path in key_path_list:\n manifest.append(relative_key_path)\n\n manifest_file_path = self._write_manifest_to_s3(manifest_file=manifest)\n return manifest_file_path","def lambda_handler(event=None, context=None):\n logger.info('Lambda function invoked index()')\n\n # Get configuration from environment\n file_name_default = os.environ.get('FILE_NAME') or \"bamboo_employees\"\n api_key = os.environ.get('BAMBOO_TOKEN')\n url = os.environ.get('BAMBOO_API')\n\n # Parameters, take a file name if exists and remove it from the dict\n file_name = request.args.get('file_name') or file_name_default\n\n try:\n # Request data from Bamboo API\n headers = {'Accept': 'application/json'}\n auth = HTTPBasicAuth(api_key, 'x')\n response = requests.get(url=url, headers=headers, auth=auth)\n\n if response.status_code != requests.codes.ok:\n raise Exception('Error making the request to Bamboo\\r\\n')\n\n # Check the result\n result = json.loads(response.text)\n if 'employees' in result:\n # Generate the GeoJSON from API response\n employees = []\n for employee in result['employees']:\n # Bamboo does not provide explicit locations\n point = Point(None, None)\n employees.append(Feature(geometry=point, properties=employee))\n\n # Produce a GeoJSON Feature collection\n body = json.dumps(FeatureCollection(employees))\n attachment = 'attachment; filename={0}.json'.format(file_name)\n\n # Create a response with the proper headers\n # CARTO will use the file name property as the table name\n response = make_response(body)\n response.headers['Content-Type'] = 'application/json'\n response.headers['Content-Disposition'] = attachment\n else:\n raise Exception('No photos on your request')\n\n return response\n\n except Exception as e:\n response = make_response(e.message + \"\\r\\n\")\n response.headers['Content-Type'] = 'text/plain'\n response.status_code = 500\n return response","def __init__(self, bucket, feed=None, lambda_to_trigger=None,\n socrata_lambda_to_trigger=None,\n **kwargs):\n super(WorkZoneRawSandbox, self).__init__(bucket, **kwargs)\n self.prefix_template = 'state={state}/feedName={feedname}/year={year}/month={month}/'\n self.feed = feed\n self.lambda_to_trigger = lambda_to_trigger\n self.socrata_lambda_to_trigger = socrata_lambda_to_trigger\n self.url_dict = {}\n self.read_urls()\n # variables necessary to update last ingest time to Socrata WZDx feed registry\n # this is currently done in the previous lambda function \"wzdx_trigger_ingest\".\n # leaving the block below in case we move the step to this function","def __init__(self, recipes, decode_param_from=None, custom_handlers=None):\n\n if not recipes or not isinstance(recipes, list):\n logger.error('Unsupported _functions type! Something went wrong!')\n\n # Get required functions\n self.functions = [] # {func: func_obj, func_params: (params), fields=[]}\n\n for _func in recipes:\n # Check the syntax of provided function\n\n # Case: handler_name\n if match(r'(^[a-zA-Z0-9_-]{3,20}$)', _func, IGNORECASE):\n pass\n\n # Case: handler_name<param>XyZ<field>AbC\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512}<field>.{1,512})$', _func, IGNORECASE):\n pass\n\n # Case: handler_name<param>XyZ<field>AbC<rfield>YzX\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512}<field>.{1,512}<rfield>.{1,512})$', _func, IGNORECASE):\n pass\n\n # Case: handler_name<param>XyZ\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512})$', _func, IGNORECASE):\n pass\n\n # Case: handler_name<field>AbC\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<field>.{1,512})$', _func, IGNORECASE):\n pass\n\n # Case: handler_name<param>AbC<rfield>XXX\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512}<rfield>.{1,512})$', _func, IGNORECASE):\n pass\n\n # Case: handler_name<field>AbC<rfield>XXX\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<field>.{1,512}<rfield>.{1,512})$', _func, IGNORECASE):\n pass\n\n # Case: handler_name<rfield>ABCD\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<rfield>.{1,512})$', _func, IGNORECASE):\n pass\n\n # Case: Syntax error\n else:\n logger.error('Syntax Error. Function: %s' % _func)\n logger.error(\n 'The example syntax of registry handler function shuld be: \\n\"-rh function_name<param>param1<param>param2<field>field_name_to_process<rfield>output_field_name\" (<param>,<field> and <rfield> are optional and depends on given function)\\nUse -prh for more details')\n exit(ERR_PROVIDER_INCORRECT_FUNCTION_SYNTAX)\n\n\n _func_name = ''\n _func_params = None\n _func_fields = None\n _func_output_fields = None\n\n # Get function, parameter(s) and fields (if specified)\n # Get _func_name\n _func_name, separator, _ = _func.partition('<')\n _func_name = _func_name.lower()\n\n if '<rfield>' in _func:\n _func, _, _func_output_fields = _func.partition('<rfield>')\n _func_output_fields = _func_output_fields.split(';')\n map(str.strip, _func_output_fields)\n\n if '<field>' in _func:\n _func, _, _func_fields = _func.partition('<field>')\n _func_fields = _func_fields.split(';')\n map(str.strip, _func_fields)\n\n if '<param>' in _func:\n _func, _, _func_params = _func.partition('<param>')\n _func_params = _func_params.split(';')\n map(str.strip, _func_params)\n\n if decode_param_from:\n if decode_param_from.lower() == 'base64':\n _func_params = list(map(base64.b64decode, _func_params))\n _func_params = list(map(bytes.decode, _func_params))\n else:\n logger.error('Unable to create a registry handler: \"%s\"\\n'\n 'Function: \"%s\"\\n'\n 'Unsupported param encoding: \"%s\"' %\n (_func_name, _func, decode_param_from))\n return None\n\n _func_params = tuple(_func_params)\n\n try:\n if not custom_handlers:\n func_class = getattr(handlers, _func_name)\n else:\n try:\n func_class = getattr(handlers, _func_name)\n except AttributeError:\n func_class = getattr(custom_handlers, _func_name)\n\n func_obj = getattr(func_class, _func_name)\n\n # if _func_output_fields is None:\n # _func_output_fields = _func_fields\n # pass\n\n self.functions.append({'func': func_obj, 'func_params': _func_params, 'func_fields': _func_fields,\n 'result_fields': _func_output_fields})\n\n except Exception as msg:\n logger.warning('Unable to get function object for: %s. Error: %s' % (_func_name, msg))\n logger.error('Unsupported Registry Handler: \"%s\"' % _func_name)\n\n self.default_fields = [registry_provider.registry_value.attributes.value_content]","def _s3_stash(self):\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\n bucketpath = BUCKET.strip(\"/\")\n bucketbase = BUCKET.split(\"/\")[0]\n parts = urlparse.urlsplit(s3_url)\n mimetype = 'application/xml' \n \n conn = boto.connect_s3()\n\n try:\n bucket = conn.get_bucket(bucketbase)\n except boto.exception.S3ResponseError:\n bucket = conn.create_bucket(bucketbase)\n self.logger.info(\"Created S3 bucket {}\".format(bucketbase))\n\n if not(bucket.get_key(parts.path)):\n key = bucket.new_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"created {0}\".format(s3_url)\n self.logger.info(msg)\n else:\n key = bucket.get_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"re-uploaded {}\".format(s3_url)\n self.logger.info(msg)","def project_uploader():\n if not current_app.config['S3_KEY']:\n return ''\n if len(request.files) == 0:\n return 'No files selected'\n img = request.files['file']\n if not img or img.filename == '':\n return 'No filename'\n ext = img.filename.split('.')[-1].lower()\n if ext not in ACCEPTED_TYPES:\n return 'Invalid format (allowed: %s)' % ','.join(ACCEPTED_TYPES)\n # generate a simpler filename\n keepcharacters = ('.', '_')\n safe_filename = img.filename.replace(' ', '_')\n safe_filename = \"\".join(\n c for c in safe_filename\n if c.isalnum() or c in keepcharacters).rstrip()\n if not safe_filename:\n safe_filename = \"\".join(random_password(8), '.', ext)\n # use random subfolder inside user id folder\n filename = '/'.join([\n str(current_user.id),\n random_password(24),\n safe_filename\n ])\n # with tempfile.TemporaryDirectory() as tmpdir:\n # img.save(path.join(tmpdir, filename))\n if 'S3_FOLDER' in current_app.config:\n s3_filepath = '/'.join([current_app.config['S3_FOLDER'], filename])\n else:\n s3_filepath = filename\n # print('Uploading to %s' % s3_filepath)\n if 'S3_ENDPOINT' in current_app.config:\n s3_obj = boto3.client(\n service_name='s3',\n endpoint_url=current_app.config['S3_ENDPOINT'],\n aws_access_key_id=current_app.config['S3_KEY'],\n aws_secret_access_key=current_app.config['S3_SECRET'],\n )\n #print('Uploading to endpoint %s' % current_app.config['S3_ENDPOINT'])\n else:\n s3_obj = boto3.client(\n service_name='s3',\n region_name=current_app.config['S3_REGION'],\n aws_access_key_id=current_app.config['S3_KEY'],\n aws_secret_access_key=current_app.config['S3_SECRET'],\n )\n #print('Uploading to region %s' % current_app.config['S3_REGION'])\n # Commence upload\n s3_obj.upload_fileobj(img,\n current_app.config['S3_BUCKET'],\n s3_filepath,\n ExtraArgs={'ContentType': img.content_type,\n 'ACL': 'public-read'}\n )\n return escape('/'.join([current_app.config['S3_HTTPS'], s3_filepath]))","def upload_to_s3(site, bucket, directory=None, files=None, prefix=None):\n if bucket is None:\n print red('Error: Bucket must be specified.')\n return\n if directory is None and files is None:\n print red('Error: Directory and/or files must be specified.')\n return\n # Setup boto\n import boto\n from boto.s3.bucket import Bucket\n from boto.s3.key import Key\n import mimetypes\n import fnmatch\n\n setup_aws_access_key(site)\n\n # Connect to S3\n c = boto.connect_s3()\n b = Bucket(c, bucket)\n\n # Fix the prefix\n # prefix itself shouldn't have a / prefix itself but should end with /\n if prefix:\n prefix = prefix.lstrip('/')\n if prefix and not prefix.endswith('/'):\n prefix = prefix + '/'\n\n def __upload(key, filename):\n k = Key(b)\n k.key = key\n headers = {}\n content_type = mimetypes.guess_type(filename)[0]\n if site.has_key('webapp') and site['webapp'].get('cache_control'):\n for pattern in site['webapp']['cache_control']:\n if fnmatch.fnmatch(filename, pattern):\n headers['Cache-Control'] = site['webapp']['cache_control'][pattern]\n break\n if site.has_key('webapp') and site['webapp'].get('gzip_types') and content_type in site['webapp']['gzip_types']:\n from gzip import GzipFile\n from StringIO import StringIO\n # Need to specify content_type when uploading from a string!\n headers['Content-Type'] = content_type\n headers['Content-Encoding'] = 'gzip'\n s = StringIO()\n g = GzipFile(fileobj=s, mode='wb')\n with open(filename, 'rb') as f:\n g.write(f.read())\n g.close()\n k.set_contents_from_string(s.getvalue(), headers)\n else:\n k.set_contents_from_filename(filename, headers)\n\n if files:\n # Upload individual files\n if directory:\n keys = [filename.lstrip('/') for filename in files]\n files = [os.path.join(directory, filename) for filename in files]\n else:\n keys = [os.path.split(filename)[1] for filename in files]\n for i, filename in enumerate(files):\n print 'Uploading %s' % keys[i]\n if prefix:\n key = prefix + keys[i]\n else:\n key = keys[i]\n __upload(key, filename)\n elif directory:\n # Upload an entire directory\n def __upload_dir(arg, dirname, names):\n # arg is the starting directory\n for name in names:\n filename = os.path.join(dirname, name)\n if not os.path.isdir(filename) and not os.path.islink(filename) and not name.startswith('.'):\n key = filename[len(arg):]\n if key.startswith('/'):\n key = key[1:]\n if prefix:\n key = prefix + key\n print 'Uploading %s' % key\n __upload(key, filename)\n os.path.walk(directory, __upload_dir, directory)","def _prepare_lambda_params(self, entrypoint_name):\n\n packer_call = getattr(self.packer, f'pack_{entrypoint_name}')\n packed_bytes = packer_call(\n self.default_params[entrypoint_name]).interpret().storage.hex()\n\n execute_params = {\n 'lambda': self.lambdas[f'hic_{entrypoint_name}'],\n 'packedParams': packed_bytes\n }\n\n return execute_params","async def export_cw_logs_to_s3(global_vars, log_group_name, retention_days, bucket_name, obj_prefix = None):\n resp_data = {'status': False, 'task_info':{}, 'error_message': ''}\n if not retention_days: retention_days = 90\n if not obj_prefix: obj_prefix = log_group_name.split('/')[-1]\n now_time = datetime.datetime.now()\n # To effectively archive logs\n # Setting for 24 Hour time frame (From:91th day); Captures the 24 hour logs on the 90th day\n n1_day = now_time - datetime.timedelta(days = int(retention_days) + 1)\n # Setting for 24 Hour time frame (Upto:90th day)\n n_day = now_time - datetime.timedelta(days = int(retention_days))\n f_time = int(n1_day.timestamp() * 1000)\n t_time = int(n_day.timestamp() * 1000)\n # To specifially deal with loggroup names without '/'\n if '/' in log_group_name:\n d_prefix = str( log_group_name.replace(\"/\",\"-\")[1:] ) + \"/\" + str( gen_ymd(n1_day, '/') )\n else:\n d_prefix = str( log_group_name.replace(\"/\",\"-\") ) + \"/\" + str( gen_ymd(n1_day, '/') )\n # d_prefix = str( log_group_name.replace(\"/\",\"-\")[1:] )\n # Check if S3 Bucket Exists\n resp = does_bucket_exists(bucket_name)\n if not resp.get('status'):\n resp_data['error_message'] = resp.get('error_message')\n return resp_data\n try:\n client = boto3.client('logs')\n r = client.create_export_task(\n taskName = gen_uuid(),\n logGroupName = log_group_name,\n fromTime = f_time,\n to = t_time,\n destination = bucket_name,\n destinationPrefix = d_prefix\n )\n # Get the status of each of those asynchronous export tasks\n r = get_tsk_status(r.get('taskId'), global_vars.get('time_out'), global_vars.get('tsk_back_off'))\n if resp.get('status'):\n resp_data['task_info'] = r.get('tsk_info')\n resp_data['status'] = True\n else:\n resp_data['error_message'] = r.get('error_message')\n except Exception as e:\n resp_data['error_message'] = str(e)\n return resp_data","def pushToS3()-> None:\n logging.info(f\"Connecting to s3 {getTime()}\")\n s3 = boto3.client(\"s3\",endpoint_url=\"http://localhost:4566\")\n if(not s3.head_bucket(Bucket=\"demo\")):\n s3.create_bucket(Bucket='demo')\n try:\n logging.info(f\"Uploading to s3 {getTime()}\")\n s3.upload_file(\"result.csv\",\"demo\",\"result.csv\")\n logging.info(f\"Finished uploding to s3 {getTime()}\")\n except ClientError as e:\n logging.error(f\"Error uploading file to S3 {getTime()}\")","def lambda_handler(event, context):\n\n REGION = 'eu-central-1' # region to launch instance.\n INSTANCE_ID = 'i-02ad64e2ab12d8719'\n INSTANCE_TYPE = 't2.medium' # instance type to launch.\n BUCKET_NAME = 'bluecaparticles'\n\n ec2 = boto3.resource('ec2', REGION)\n instance = ec2.Instance(INSTANCE_ID)\n\n crawl_date = datetime.datetime.now()\n print(\"\\n--> Crawling date %s\" % crawl_date.strftime(\"%Y-%m-%d\"))\n\n # try:\n try:\n trigger_file = event['Records'][0]['s3']['object']['key']\n except:\n trigger_file = ''\n\n if trigger_file:\n if 'cincodias' in trigger_file:\n print(\"\\n--> Crawling Elconfidencial\")\n parse_elconfidencial(crawl_date, BUCKET_NAME)\n elif 'elconfidencial' in trigger_file:\n print(\"\\n--> Crawling Eleconomista\")\n parse_eleconomista(crawl_date, BUCKET_NAME)\n elif 'eleconomista' in trigger_file:\n print(\"\\n--> Crawling Expansion\")\n parse_expansion(crawl_date, BUCKET_NAME)\n elif 'expansion' in trigger_file:\n print(\"\\n--> Launching EC2...\")\n response = instance.start()\n else:\n print(\"\\n--> Crawling cincodias\")\n parse_cincodias(crawl_date, BUCKET_NAME)","def submit_lambdas(self):\n payload, self.buffer = self.buffer, []\n self.batch_count += 1\n # self.next_deadline = self.loop.time() + self.interval\n try:\n # Break these up into chunks of size `self.chunk_size`\n if self.debug_print:\n print(\"Breaking payload of length {} into {} chunks of length {} or smaller...\".format(len(payload), ceil(len(payload) / self.chunk_size), self.chunk_size))\n chunks = [payload[x : x + self.chunk_size] for x in range(0, len(payload), self.chunk_size)]\n self.total_lambdas_invoked = self.total_lambdas_invoked + len(chunks)\n self.num_tasks_invoked = self.num_tasks_invoked + len(payload)\n # Send each chunk to an invocation of the AWS Lambda function for evaluation.\n for chunk in chunks:\n to_be_serialized = {\"task_list\": chunk, \"scheduler-address\": self.scheduler_address}\n serialized_payload = json.dumps(to_be_serialized)\n if self.debug_print:\n print(\"serialized_payload: {}\".format(str(serialized_payload)))\n self.lambda_client.invoke(FunctionName='FunctionExecutor', InvocationType='Event', Payload=serialized_payload)\n print(\"self.total_lambdas_invoked: \", self.total_lambdas_invoked)\n print(\"self.num_tasks_invoked: \", self.num_tasks_invoked)\n except Exception:\n logger.exception(\"Error in batched write\")\n print(\"Error in batched write.\")\n break\n finally:\n payload = None # lose ref ","def publish_artifacts(self): # pylint: disable=too-many-locals\n try:\n b3resource = boto3.resource(\n 's3', endpoint_url=os.environ[\"S3_ENDPOINT_URL\"])\n dst_s3_url = os.environ[\"S3_DST_URL\"]\n multipart_threshold = 5 * 1024 ** 5 if \"google\" in os.environ[\n \"S3_ENDPOINT_URL\"] else 8 * 1024 * 1024\n config = TransferConfig(multipart_threshold=multipart_threshold)\n bucket_name = urlparse(dst_s3_url).netloc\n try:\n b3resource.meta.client.head_bucket(Bucket=bucket_name)\n except botocore.exceptions.ClientError as exc:\n error_code = exc.response['Error']['Code']\n if error_code == '404':\n # pylint: disable=no-member\n b3resource.create_bucket(Bucket=bucket_name)\n else:\n raise exc\n except Exception as exc: # pylint: disable=broad-except\n raise exc\n path = urlparse(dst_s3_url).path.strip(\"/\")\n dst_http_url = os.environ[\"HTTP_DST_URL\"]\n output_str = \"\\n\"\n # protects if test cases return details as None\n self.details = self.details or {}\n self.details[\"links\"] = []\n for log_file in [self.output_log_name, self.output_debug_log_name]:\n if os.path.exists(os.path.join(self.dir_results, log_file)):\n abs_file = os.path.join(self.dir_results, log_file)\n mime_type = mimetypes.guess_type(abs_file)\n self.__logger.debug(\n \"Publishing %s %s\", abs_file, mime_type)\n # pylint: disable=no-member\n b3resource.Bucket(bucket_name).upload_file(\n abs_file, os.path.join(path, log_file), Config=config,\n ExtraArgs={'ContentType': mime_type[\n 0] or 'application/octet-stream'})\n link = os.path.join(dst_http_url, log_file)\n output_str += f\"\\n{link}\"\n self.details[\"links\"].append(link)\n for root, _, files in os.walk(self.res_dir):\n for pub_file in files:\n abs_file = os.path.join(root, pub_file)\n mime_type = mimetypes.guess_type(abs_file)\n self.__logger.debug(\n \"Publishing %s %s\", abs_file, mime_type)\n # pylint: disable=no-member\n b3resource.Bucket(bucket_name).upload_file(\n abs_file,\n os.path.join(path, os.path.relpath(\n os.path.join(root, pub_file),\n start=self.dir_results)),\n Config=config,\n ExtraArgs={'ContentType': mime_type[\n 0] or 'application/octet-stream'})\n link = os.path.join(dst_http_url, os.path.relpath(\n os.path.join(root, pub_file),\n start=self.dir_results))\n output_str += f\"\\n{link}\"\n self.details[\"links\"].append(link)\n self.__logger.info(\n \"All artifacts were successfully published: %s\\n\", output_str)\n return TestCase.EX_OK\n except KeyError as ex:\n self.__logger.error(\"Please check env var: %s\", str(ex))\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\n except botocore.exceptions.NoCredentialsError:\n self.__logger.error(\n \"Please fill ~/.aws/credentials, ~/.boto or set \"\n \"AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY in env\")\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\n except Exception: # pylint: disable=broad-except\n self.__logger.exception(\"Cannot publish the artifacts\")\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR","def main(): \n spark = create_spark_session()\n print(\"Spark Session Created\")\n\n #Print S3 bucket location\n s3_bucket=os.environ[\"s3_bucket\"]\n s3_bucket = s3_bucket.replace(\"'\", \"\")\n \n print (s3_bucket)\n \n #Invoke Functions to process data\n process_data(spark, s3_bucket)","def create_and_fill_bucket(self):\n EmrProcessing.bucket = \\\n self.s3_handle.create_bucket(EmrProcessing.bucket_name)\n key = EmrProcessing.bucket.new_key('input/test.csv')\n input_file_path = '../data/test.csv'\n key.set_contents_from_filename(input_file_path)\n key.set_acl('public-read')\n\n key = EmrProcessing.bucket.new_key('mapper/mapper.py')\n input_file_path = '../src/mapper/mapper.py'\n key.set_contents_from_filename(input_file_path)\n key.set_acl('public-read')","def setup_bucket_w_contents(mock_s3_client, test_bucket, test_df_key, test_df):\n s3 = boto3.client('s3')\n s3.create_bucket(Bucket=test_bucket)\n\n with NamedTemporaryFile() as tmpfile:\n test_df.to_csv(tmpfile.name, index=False, header=False)\n s3.upload_file(tmpfile.name, test_bucket, test_df_key)\n\n yield","def invoke_lambda(bucket, body_id):\n payload = {\"body_id\": body_id}\n if \"prod\" not in bucket:\n payload[\"bucket\"] = bucket\n response = LAMBDA_CLIENT.invoke(FunctionName=\"create_ppp_body_thumbnails\",\n InvocationType=\"Event\",\n Payload=json.dumps(payload))\n if ARG.DEBUG:\n pprint.pprint(response, indent=4)\n COUNT[\"Submitted\" if response[\"StatusCode\"] == 202 else \"Submit error\"] += 1\n if \"Payload\" in response:\n LOGGER.debug(response['Payload'].read().decode(\"utf-8\"))","def main():\n\n ## Deal with incoming.\n parser = argparse.ArgumentParser(\n description=__doc__,\n formatter_class=argparse.RawDescriptionHelpFormatter)\n parser.add_argument('-w', '--walk',\n help='Combined report JSON file')\n parser.add_argument('-r', '--remote',\n help='The remote server to map onto')\n parser.add_argument('-o', '--output',\n help='The file to dump the JSON output to')\n parser.add_argument('-v', '--verbose', action='store_true',\n help='More verbose output')\n args = parser.parse_args()\n\n if args.verbose:\n LOG.setLevel(logging.INFO)\n LOG.info('Verbose: on')\n\n ## Ensure directory.\n if not args.walk:\n die_screaming('need a \"walk\" argument')\n LOG.info('Will walk directory: ' + args.walk)\n ## Ensure URL.\n if not args.remote:\n die_screaming('need \"remote\" argument')\n LOG.info('Will map unto URL: ' + args.remote)\n ## Ensure output file.\n if not args.output:\n die_screaming('need an output file argument')\n LOG.info('Will output to: ' + args.output)\n\n ## Walk tree.\n lookup = [];\n for curr_dir, dirs, files in os.walk(args.walk):\n\n ## We can navigate up if we are not in the root.\n relative_to_start = curr_dir.rstrip('//')[len(args.walk):]\n relative_to_start = relative_to_start.lstrip('//')\n LOG.info('curr_dir: ' + curr_dir + ' (' + relative_to_start + ')')\n\n ## Note files and directories.\n for fname in files:\n\n ## Figure out S3 path/key and final filename, keeping in\n ## mind that relative_to_Start can be empty if root.\n webpath = fname\n if relative_to_start:\n webpath = relative_to_start + '/' + fname\n filename = os.path.join(curr_dir, fname)\n\n size = os.path.getsize(filename)\n md5sum = hashlib.md5(open(filename, 'rb').read()).hexdigest()\n\n ## Visual check.\n LOG.info('file: '+ filename + ' -> [' + args.remote + '] / ' + webpath + '; ' + str(size) + ', ' + md5sum)\n\n lookup.append({\n 'url': args.remote + '/' + webpath,\n 'length': str(size),\n 'filename': webpath,\n 'md5': md5sum\n })\n\n ## Final writeout.\n output = json.dumps(lookup, sort_keys=True, indent=4)\n with open(args.output, 'w+') as fhandle:\n fhandle.write(output)\n LOG.info(output)","def runEventCreation():\r\n config = CONFIG['steps']['EventCreation']\r\n ci = config['inputs']\r\n co = config['outputs']\r\n\r\n min_window_size = ci['min_window_size']\r\n change_speed_by = ci['change_speed_by']\r\n speed_ratio = ci['train_zero_speed_ratio']\r\n datetime_limit = ci['datetime_limit']\r\n csv_name_prefix = ci['csv_name_prefix']\r\n input_bucket = ci['bucket']\r\n window_event_bucket = ci['window_event_bucket']\r\n window_events_file = ci['window_events_file']\r\n\r\n output_bucket = co['bucket']\r\n event_dir = co['event_dir']\r\n filename_include = co['filename_include']\r\n\r\n minio_config = CONFIG['artifacts']['minio']\r\n minioClient = create_minio_client(minio_config[\"endpoint_url\"],\r\n access_key=minio_config[\"access_key\"],\r\n secret_key=minio_config[\"secret_key\"],\r\n secure=minio_config['secure'])\r\n\r\n boto_client = boto3.client(\"s3\",\r\n endpoint_url=minio_config[\"endpoint_url\"],\r\n aws_access_key_id=minio_config[\"access_key\"],\r\n aws_secret_access_key=minio_config[\"secret_key\"],\r\n region_name=minio_config[\"region_name\"])\r\n\r\n csv_files = get_files(input_bucket, boto_client,\r\n file_type='csv', prefix='filtered')\r\n csv_files = ['filtered/7016_2020-09-09.csv']\r\n create_window_event(files=csv_files,\r\n input_bucket=input_bucket,\r\n output_bucket=output_bucket,\r\n minio_client=minioClient,\r\n min_window_size=min_window_size,\r\n ouput_dir=event_dir,\r\n window_event_bucket=window_event_bucket,\r\n window_events_file=window_events_file,\r\n csv_name_prefix=csv_name_prefix,\r\n change_speed_by=change_speed_by,\r\n train_zero_speed_ratio=speed_ratio,\r\n datetime_limit=datetime_limit,\r\n filename_include=filename_include)","def handler(event, context):\n collection_blacklist = environ.get(\"COLLECTION_BLACKLIST\")\n bucket_folder = environ.get(\"BUCKET_FOLDER\", \"backups\")\n bucket_name = environ[\"BUCKET_NAME\"]\n db_uri = environ[\"MONGO_URI\"]\n\n if environ.get(\"MONGO_URI_IS_ENCRYPTED\"):\n from base64 import b64decode\n\n kms = boto.client(\"kms\")\n decrypted = kms.decrypt(CiphertextBlob=b64decode(db_uri))\n db_uri = decrypted[\"Plaintext\"].decode()\n\n db_name = environ.get(\"MONGO_DATABASE\")\n if db_name is None:\n from urllib.parse import urlparse\n\n loc = urlparse(db_uri)\n db_name = loc.path.strip(\"/\")\n\n LOGGER.info(\n \"Backing up collections from database %s in bucket %s\", db_name, bucket_name\n )\n\n s3.meta.client.head_bucket(\n Bucket=bucket_name\n ) # Check that the given bucket actually exists.\n\n client = MongoClient(db_uri)\n database = client.get_database(db_name)\n\n skip = (\n [s.strip() for s in collection_blacklist.split(\",\")]\n if collection_blacklist\n else []\n )\n eligible_collections = [\n name for name in database.collection_names() if not name in skip\n ]\n\n json_options = JSONOptions(datetime_representation=DatetimeRepresentation.ISO8601)\n\n def write_all_docs(collection_name, writer):\n for doc in database.get_collection(collection_name).find():\n writer.write(dumps(doc, json_options=json_options) + \"\\n\")\n\n for collection_name in eligible_collections:\n if environ.get(\"IN_MEMORY\"):\n writer = StringIO()\n write_all_docs(collection_name, writer)\n\n s3.Bucket(bucket_name).put_object(\n Body=writer.getvalue().encode(),\n Key=\"{}/{}.json\".format(bucket_folder, collection_name),\n )\n\n else:\n with open(temp_filepath, \"w\") as writer:\n write_all_docs(collection_name, writer)\n\n s3.Bucket(bucket_name).upload_file(\n temp_filepath, \"{}/{}.json\".format(bucket_folder, collection_name)\n )\n\n LOGGER.info(\"Done backing up collection {}\".format(collection_name))","def _add_tag_files(\n zip_file, dir_name, payload_info_list, payload_byte_count, payload_file_count\n):\n tag_info_list = []\n _add_tag_file(zip_file, dir_name, tag_info_list, _gen_bagit_text_file_tup())\n _add_tag_file(\n zip_file,\n dir_name,\n tag_info_list,\n _gen_bag_info_file_tup(payload_byte_count, payload_file_count),\n )\n _add_tag_file(\n zip_file, dir_name, tag_info_list, _gen_pid_mapping_file_tup(payload_info_list)\n )\n return tag_info_list","def deployLambdaFunctionFromS3(name:str, iamRoleARN:str, handler:str, bucket:str, object:str, version:str=None, runtime='python3.7') -> str:\n client = boto3.client('lambda')\n try:\n code = {\n 'S3Bucket': bucket,\n 'S3Key': object,\n }\n if version:\n code['S3ObjectVersion'] = version\n response = client.create_function(\n Role = iamRoleARN,\n FunctionName = name,\n Runtime = runtime,\n Handler = handler,\n Code = code\n )\n except ClientError as e:\n raise LambdaDeploymentException(e)\n if not 'FunctionArn' in response:\n raise LambdaDeploymentException('\\\"FunctionArn\\\" is not contained in the response. ', repr(response))\n return response['FunctionArn']","def lambda_handler(event, context):\n try:\n day = datetime.datetime.now().weekday()\n\n fetcher = assume_role()\n config = fetch_config_from_s3(fetcher)\n print config\n\n if is_weekday(day, config['schedule']['halfDay']):\n client = assume_role()\n for role_arn in config['role_arns']:\n account_number = role_arn.split(\":\")[4]\n ec2_user = create_temp_user(client, role_arn)\n\n start_up_time, stop_time, now, tz = convert_to_datetime(config['times'])\n logger.info(\"Lambda started for account : {}\".format(config['account_names'][account_number]))\n start_stop(now, start_up_time, stop_time, ec2_user, config, tz)\n else:\n logger.info(\"I do not operate on weekends.\")\n except Exception as error:\n logger.info(\"Lambda failed to run with the following error : {}\".format(error))","def _get_tasks_from_s3(self):\n files = self._get_s3_keys([], '')\n tasks = {}\n for i, x in enumerate(tqdm(files)):\n n = x['Key'].split('/')[-1]\n if self.task_filters and not [x for x in self.task_filters if x in n]:\n continue\n n = n.split('_')\n tasks[i] = {\n 'task_name': '_'.join(n[:-1]),\n 'task_params': pickle.loads(self.resource.Object(self.bucket_name, x['Key'].replace('task_log', 'task_params')).get()['Body'].read()),\n 'task_log': pickle.loads(self.resource.Object(self.bucket_name, x['Key']).get()['Body'].read()),\n 'last_modified': x['LastModified'],\n 'task_hash': n[-1].split('.')[0]\n }\n return tasks","def upload(env):\n if not env:\n click.echo(\"Environment must be specified\")\n click.Abort()\n\n with open(\"zappa_settings.json\", \"r\") as f:\n settings = json.load(f)\n\n if not settings:\n click.echo(\"Settings not loaded\")\n click.Abort()\n return\n\n try:\n s3_bucket = settings[env][\"s3_bucket\"]\n aws_region = settings[env][\"aws_region\"]\n except AttributeError:\n click.echo(\"Failed to get details from settings\")\n click.Abort()\n return\n\n session = boto3.Session()\n credentials = session.get_credentials()\n current_credentials = credentials.get_frozen_credentials()\n\n app.config[\"FLASKS3_FORCE_MIMETYPE\"] = True\n\n try:\n css_assets.build()\n\n flask_s3.create_all(\n app,\n user=current_credentials.access_key,\n password=current_credentials.secret_key,\n bucket_name=s3_bucket,\n location=aws_region,\n put_bucket_acl=False,\n )\n click.echo(\n f\"Uploaded assets to Bucket https://{s3_bucket}.s3.{aws_region}.amazonaws.com\"\n )\n except Exception as e:\n click.echo(f\"Failed to upload assets: {e}\")","def compress(self, public_key, input_dir, output_dir, suffix):\n if self.valid_configuration():\n\n # create directories if they do not exist\n self.__setup_dir(input_dir)\n self.__setup_dir(output_dir)\n\n compress = Compress(public_key, verify_ssl=True, proxies=None)\n compress.set_output_folder(output_dir)\n\n # search input directory for PDFs. Return if there are no matching files\n files = self.__get_files(input_dir, \"pdf\")\n files = self.__ignore_files_with_suffix(files)\n if not files:\n print(\"ERROR: there are no files to compressed.\")\n return\n\n # efficiently distribute archive load by available concurrent task rate limit\n file_bins = self.distribute_load(files, self.__config.concurrency_limit())\n\n # distribute load by the available threads, also corresponding to the api concurrency limit\n with ThreadPoolExecutor(max_workers=self.__config.concurrency_limit()) as executor:\n for sorted_files in file_bins:\n if sorted_files:\n compress = Compress(public_key, verify_ssl=True, proxies=None)\n compress.set_output_folder(output_dir)\n executor.submit(PDFWorkshop.process_files, compress, sorted_files)\n\n # unzip response zip, if there is one\n # note that the API response is a zip only if more than one pdf was submitted\n for zip_file in self.__get_files(output_dir, \"zip\"):\n if \"compress_\" in zip_file:\n zip_ref = zipfile.ZipFile(zip_file, 'r')\n zip_ref.extractall(output_dir)\n zip_ref.close()\n os.remove(zip_file)\n\n # rename all PDFs to their original filename and possibly add a suffix\n [os.rename(filename, self.__rename_file(filename, suffix))\n for filename in self.__get_files_to_rename(output_dir)]","def runCreateFeatures():\r\n config = CONFIG['steps']['CreateFeatures']\r\n ci = config['inputs']\r\n co = config['outputs']\r\n\r\n filename_include = ci['filename_include']\r\n speed_vars = ci['speed_vars']\r\n sample_value = ci['sample_value']\r\n nominal_feature_name = ci['nominal_feature_name']\r\n input_bucket = ci['bucket']\r\n event_dir = ci['event_dir']\r\n\r\n output_bucket = co['bucket']\r\n features_dir = co['features_dir']\r\n save_features_path = co['features_path']\r\n\r\n minio_config = CONFIG['artifacts']['minio']\r\n minioClient = create_minio_client(minio_config[\"endpoint_url\"],\r\n access_key=minio_config[\"access_key\"],\r\n secret_key=minio_config[\"secret_key\"],\r\n secure=minio_config['secure'])\r\n\r\n boto_client = boto3.client(\"s3\",\r\n endpoint_url=minio_config[\"endpoint_url\"],\r\n aws_access_key_id=minio_config[\"access_key\"],\r\n aws_secret_access_key=minio_config[\"secret_key\"],\r\n region_name=minio_config[\"region_name\"])\r\n\r\n # pkl_files = get_files(input_bucket, boto_client,\r\n # file_type='pkl', prefix=event_dir)\r\n\r\n pkl_files = ['events1min/0_2020-02-03.zip']\r\n process_event_files(files=pkl_files,\r\n input_bucket=input_bucket,\r\n output_bucket=output_bucket,\r\n features_dir=features_dir,\r\n save_features_path=save_features_path,\r\n minio_client=minioClient,\r\n speed_vars=speed_vars,\r\n sample_value=sample_value,\r\n filename_include=filename_include,\r\n nominal_feature_name=nominal_feature_name)","def setup(zip_path, dest_path):\n\n #makes folder for zip files\n make_directory(zip_path)\n\n #makes folder for processed data\n make_directory(dest_path)","def upload_package(self, filename=None):\n logger.info(\"Uploading the package to S3\")\n s3f = S3FunctionUploader(self.function_config['Code']['S3Bucket'])\n self.s3_filename = path.join(\n self.function_config['Code']['S3KeyPath'],\n path.basename(filename or self.local_filename)\n )\n s3f.upload(filename or self.local_filename,\n self.s3_filename)","def run(self):\n data = query_orm(self.orm)\n # To avoid confusion downstream: don't write out data if there isn't any\n if not data:\n return\n for table_key, version_key in self.make_s3_keys():\n save_to_s3(table_key, version_key, data)","def process_data():\n for message in get_messages_from_sqs():\n try:\n message_content = json.loads(message.body)\n input_file = urllib.unquote_plus(message_content\n ['Records'][0]['s3']['object']\n ['key']).encode('utf-8')\n s3.download_file(input_bucket_name, input_file, input_file)\n output_file = os.path.join(output_dir, os.path.splitext(input_file)[0]+'.csv')\n parse_patient_data(input_file, output_file)\n upload_data(output_file)\n cleanup_files(input_file, output_file)\n except:\n message.change_visibility(VisibilityTimeout=0)\n continue\n else:\n message.delete()"],"string":"[\n \"def _upload_function(\\n s3_conn: S3Client,\\n bucket: str,\\n prefix: str,\\n name: str,\\n options: _UploadFunctionOptionsTypeDef,\\n follow_symlinks: bool,\\n payload_acl: ObjectCannedACLType,\\n sys_path: str,\\n work_dir: Path,\\n) -> Code:\\n try:\\n root = os.path.expanduser(options[\\\"path\\\"])\\n except KeyError as exc:\\n raise ValueError(\\n f\\\"missing required property '{exc.args[0]}' in function '{name}'\\\"\\n ) from exc\\n\\n includes = _check_pattern_list(options.get(\\\"include\\\"), \\\"include\\\", default=[\\\"**\\\"])\\n excludes = _check_pattern_list(options.get(\\\"exclude\\\"), \\\"exclude\\\", default=[])\\n\\n LOGGER.debug(\\\"processing function: %s\\\", name)\\n\\n # os.path.join will ignore other parameters if the right-most one is an\\n # absolute path, which is exactly what we want.\\n if not os.path.isabs(root):\\n root = os.path.abspath(os.path.join(sys_path, root))\\n requirements_files = find_requirements(root)\\n if requirements_files:\\n zip_contents, content_hash = _zip_package(\\n root,\\n includes=cast(List[str], includes),\\n excludes=excludes,\\n follow_symlinks=follow_symlinks,\\n requirements_files=requirements_files,\\n work_dir=work_dir,\\n **options,\\n )\\n else:\\n zip_contents, content_hash = _zip_from_file_patterns(\\n root, cast(List[str], includes), cast(List[str], excludes), follow_symlinks\\n )\\n\\n return _upload_code(\\n s3_conn, bucket, prefix, name, zip_contents, content_hash, payload_acl\\n )\",\n \"def lambda_handler(event, context):\\n try:\\n # Extract the Job ID\\n job_id = event['CodePipeline.job']['id']\\n\\n # Extract the Job Data\\n job_data = event['CodePipeline.job']['data']\\n\\n # Extract the params\\n params = get_user_params(job_data)\\n\\n # Get the lists of artifacts coming in and out of this function\\n input_artifacts = job_data['inputArtifacts']\\n output_artifacts = job_data['outputArtifacts']\\n\\n # Perform a build on the source (from source_artifact)\\n # and write results to the build_artifact\\n s3 = setup_s3_client(job_data)\\n source_artifact = find_artifact(input_artifacts, params['source_artifact'])\\n src_dir = get_zipped_artifact(s3, source_artifact)\\n dest_dir = tempfile.mkdtemp()\\n perform_build(os.path.join(src_dir, 'src'), dest_dir)\\n build_artifact = find_artifact(output_artifacts, params['build_artifact'])\\n put_zipped_artifact(s3, dest_dir, build_artifact)\\n\\n # Pick the template out of the source code and write it to the\\n # template_artifact\\n template_artifact = find_artifact(output_artifacts, params['template_artifact'])\\n put_zipped_artifact(s3, os.path.join(src_dir, params['template_subdir_path']), template_artifact)\\n\\n shutil.rmtree(src_dir)\\n shutil.rmtree(dest_dir)\\n put_job_success(job_id, \\\"Built code: \\\" + \\\", template:\\\")\\n\\n except Exception as e:\\n # If any other exceptions which we didn't expect are raised\\n # then fail the job and log the exception message.\\n print('Function failed due to exception.')\\n print(e)\\n traceback.print_exc()\\n put_job_failure(job_id, 'Function exception: ' + str(e))\\n\\n print('Function complete.')\\n return \\\"Complete.\\\"\",\n \"def inner(fn_inner):\\n\\n def handler(event, context):\\n \\\"\\\"\\\"\\n The AWS Lambda Entry Point\\n \\\"\\\"\\\"\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\\n\\n return handler\",\n \"def lambda_handler(event, context):\\n \\n filename = None\\n fobj = None\\n\\n try:\\n \\n filename = 'dlq' + '-' + datetime.datetime.now().strftime(\\\"%s\\\")\\n fobj = open('/tmp/'+filename, 'w')\\n logger.debug('S3 client set up.')\\n\\n for record in event['Records']:\\n fobj.write(json.dumps(record['body']))\\n fobj.write(\\\"\\\\n\\\")\\n \\n except Exception as ex:\\n logger.error('Exception in executing ingestion to S3: {}'.format(ex))\\n send_sns_alert(str(ex))\\n raise\\n\\n else:\\n \\n #Saves file to S3\\n fobj.close()\\n load_data_s3(filename)\\n\\n return {\\n 'statusCode': 200,\\n 'body': json.dumps('Success!')\\n }\\n\\n finally:\\n\\n # S3 - close temp object\\n fobj.close()\",\n \"def transfer(self):\\n\\n # Upload unverified matches to s3 bucket if unverified argument used (production only)\\n if self.in_args.unverified:\\n files = glob.glob(os.path.join(self.directories['unverified_matches_dir'].format(self.region_dir, self.proc_type), '*'))\\n\\n # Loop through files found in unverified_matches folder\\n for filepath in files:\\n filename = os.path.basename(filepath)\\n # Upload each file to S3 bucket folder\\n self.upload_file(filepath, self.bucket, 'UK_suppliers/Unverified_Matches/' + filename)\\n self.unverified_file = filename\\n\\n # Zip file creation - note will only work for latest unverified file. Above loop is added just incase\\n # any residual files get added manually to S3 bucket.\\n\\n # Get filepaths of stats file, filtered and excluded matches files\\n stats_fp = self.directories['stats_file'].format(self.region_dir, self.proc_type)\\n filtered_matches_fp = self.directories['filtered_matches'].format(self.region_dir, self.proc_type) + '_' + \\\\\\n str(self.best_config) + '.csv'\\n\\n excluded_matches_fp = self.directories['excluded_matches'].format(self.region_dir, self.proc_type) + '_' + \\\\\\n str(self.best_config) + '.csv'\\n\\n blacklisted_strings_fp = self.directories['blacklisted_string_matches'].format(self.region_dir)\\n\\n stats_file_fp = self.directories['script_performance_stats_file'].format(self.region_dir, self.proc_type)\\n\\n # Assign zip file which will contain above files\\n files_zip = self.unverified_file[:10] + \\\"_files.zip\\\"\\n\\n with ZipFile(files_zip, 'w') as myzip:\\n myzip.write(stats_fp, os.path.basename(stats_fp))\\n myzip.write(filtered_matches_fp,os.path.basename(filtered_matches_fp))\\n myzip.write(excluded_matches_fp, os.path.basename(excluded_matches_fp))\\n myzip.write(blacklisted_strings_fp, os.path.basename(blacklisted_strings_fp))\\n myzip.write(stats_file_fp, os.path.basename(stats_file_fp))\\n\\n self.upload_file(files_zip, self.bucket, 'UK_suppliers/Archive/' + files_zip)\\n\\n # Download verified matches from s3 bucket if verified argument (production only)\\n if self.in_args.verified:\\n self.process_verified_files()\\n\\n # Add confirmed matches/non-matches to training file\\n if self.in_args.convert_training:\\n self.runfile_mods.convert_training.ConvertToTraining.convert(self)\",\n \"def lambda_handler(event, context):\\n\\n current_module = \\\"Aggregation_Combiner\\\"\\n error_message = \\\"\\\"\\n bpm_queue_url = None\\n current_step_num = 5\\n\\n # Define run_id outside of try block\\n run_id = 0\\n try:\\n # Retrieve run_id before input validation\\n # Because it is used in exception handling\\n run_id = event[\\\"RuntimeVariables\\\"][\\\"run_id\\\"]\\n\\n environment_variables = EnvironmentSchema().load(os.environ)\\n\\n runtime_variables = RuntimeSchema().load(event[\\\"RuntimeVariables\\\"])\\n\\n # Environment Variables\\n bucket_name = environment_variables[\\\"bucket_name\\\"]\\n run_environment = environment_variables[\\\"run_environment\\\"]\\n\\n # Runtime Variables\\n additional_aggregated_column = runtime_variables[\\\"additional_aggregated_column\\\"]\\n aggregated_column = runtime_variables[\\\"aggregated_column\\\"]\\n aggregation_files = runtime_variables[\\\"aggregation_files\\\"]\\n bpm_queue_url = runtime_variables[\\\"bpm_queue_url\\\"]\\n environment = runtime_variables[\\\"environment\\\"]\\n in_file_name = runtime_variables[\\\"in_file_name\\\"]\\n out_file_name = runtime_variables[\\\"out_file_name\\\"]\\n sns_topic_arn = runtime_variables[\\\"sns_topic_arn\\\"]\\n survey = runtime_variables[\\\"survey\\\"]\\n total_steps = runtime_variables[\\\"total_steps\\\"]\\n\\n except Exception as e:\\n error_message = general_functions.handle_exception(e, current_module, run_id,\\n context=context)\\n raise exception_classes.LambdaFailure(error_message)\\n try:\\n logger = general_functions.get_logger(survey, current_module, environment,\\n run_id)\\n except Exception as e:\\n error_message = general_functions.handle_exception(e, current_module,\\n run_id, context=context)\\n raise exception_classes.LambdaFailure(error_message)\\n\\n try:\\n logger.info(\\\"Started - Retrieved configuration variables.\\\")\\n # Get file from s3\\n imp_df = aws_functions.read_dataframe_from_s3(bucket_name, in_file_name)\\n\\n logger.info(\\\"Retrieved data from s3\\\")\\n\\n # Receive the 3 aggregation outputs.\\n ent_ref_agg = aggregation_files[\\\"ent_ref_agg\\\"]\\n cell_agg = aggregation_files[\\\"cell_agg\\\"]\\n top2_agg = aggregation_files[\\\"top2_agg\\\"]\\n\\n # Load file content.\\n ent_ref_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, ent_ref_agg)\\n cell_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, cell_agg)\\n top2_agg_df = aws_functions.read_dataframe_from_s3(bucket_name, top2_agg)\\n logger.info(\\\"Successfully retrievied aggragation data from s3\\\")\\n\\n to_aggregate = [aggregated_column]\\n if additional_aggregated_column != \\\"\\\":\\n to_aggregate.append(additional_aggregated_column)\\n\\n # merge the imputation output from s3 with the 3 aggregation outputs\\n first_merge = pd.merge(\\n imp_df, ent_ref_agg_df, on=to_aggregate, how=\\\"left\\\")\\n\\n second_merge = pd.merge(\\n first_merge, cell_agg_df, on=to_aggregate, how=\\\"left\\\")\\n\\n third_merge = pd.merge(\\n second_merge, top2_agg_df, on=to_aggregate, how=\\\"left\\\")\\n\\n logger.info(\\\"Successfully merged dataframes\\\")\\n\\n # convert output to json ready to return\\n final_output = third_merge.to_json(orient=\\\"records\\\")\\n\\n # send output onwards\\n aws_functions.save_to_s3(bucket_name, out_file_name, final_output)\\n logger.info(\\\"Successfully sent data to s3.\\\")\\n\\n if run_environment != \\\"development\\\":\\n logger.info(aws_functions.delete_data(bucket_name, ent_ref_agg))\\n logger.info(aws_functions.delete_data(bucket_name, cell_agg))\\n logger.info(aws_functions.delete_data(bucket_name, top2_agg))\\n logger.info(\\\"Successfully deleted input data.\\\")\\n\\n aws_functions.send_sns_message(sns_topic_arn, \\\"Aggregation - Combiner.\\\")\\n logger.info(\\\"Successfully sent data to sns.\\\")\\n\\n except Exception as e:\\n error_message = general_functions.handle_exception(e,\\n current_module,\\n run_id,\\n context=context,\\n bpm_queue_url=bpm_queue_url)\\n\\n finally:\\n if (len(error_message)) > 0:\\n logger.error(error_message)\\n raise exception_classes.LambdaFailure(error_message)\\n\\n logger.info(\\\"Successfully completed module.\\\")\\n\\n # Send end of module status to BPM.\\n status = \\\"DONE\\\"\\n aws_functions.send_bpm_status(bpm_queue_url, current_module, status, run_id,\\n current_step_num, total_steps)\\n\\n return {\\\"success\\\": True}\",\n \"def lambda_handler(event, context):\\n\\n for record in event['Records']:\\n\\n bucket = record['s3']['bucket']['name']\\n key = unquote_plus(record['s3']['object']['key'])\\n\\n str_value = s3_utils.download_file_as_string(bucket, key)\\n data = json.loads(str_value)\\n\\n normalized_data = {\\n 'meta': {\\n 'table': 'parcels',\\n 'column_names': [\\n 'dataset',\\n 'as_of',\\n 'apn',\\n 'objectid',\\n 'city',\\n 'x_coordinate',\\n 'y_coordinate',\\n 'area',\\n 'length'\\n ]\\n }\\n }\\n\\n rows = []\\n\\n dataset = data['meta']['dataset']\\n as_of = data['meta']['datetime']\\n\\n for r in data['results']:\\n\\n attr = r['attributes']\\n\\n temp_dict = {\\n 'dataset': dataset,\\n 'as_of': as_of,\\n 'apn': attr.get('APN_SPACE'),\\n 'objectid': attr.get('OBJECTID'),\\n 'city': attr.get('CITY'),\\n 'x_coordinate': attr.get('X'),\\n 'y_coordinate': attr.get('Y'),\\n 'area': attr.get('Shape.STArea()'),\\n 'length': attr.get('Shape.STLength()')\\n }\\n\\n rows.append(temp_dict)\\n\\n normalized_data['rows'] = rows\\n \\n bucket = 'gis-data-normalized'\\n file_name = 'normalized_' + key\\n s3_utils.upload_json_as_file(normalized_data, bucket, file_name)\",\n \"def _upload_code(\\n s3_conn: S3Client,\\n bucket: str,\\n prefix: str,\\n name: str,\\n contents: Union[bytes, str],\\n content_hash: str,\\n payload_acl: ObjectCannedACLType,\\n) -> Code:\\n LOGGER.debug(\\\"ZIP hash: %s\\\", content_hash)\\n key = f\\\"{prefix}lambda-{name}-{content_hash}.zip\\\"\\n\\n if _head_object(s3_conn, bucket, key):\\n LOGGER.info(\\\"object already exists; not uploading: %s\\\", key)\\n else:\\n LOGGER.info(\\\"uploading object: %s\\\", key)\\n s3_conn.put_object(\\n Bucket=bucket,\\n Key=key,\\n Body=contents.encode() if isinstance(contents, str) else contents,\\n ContentType=\\\"application/zip\\\",\\n ACL=payload_acl,\\n )\\n\\n return Code(S3Bucket=bucket, S3Key=key)\",\n \"def publish():\\n reset()\\n compress()\\n build()\\n s3deploy()\\n log_success()\",\n \"def sync_to_bucket(s3_url,\\n region='eu-west-1',\\n profile_name=None):\\n\\n parsed_s3_url = urlparse.urlparse(s3_url);\\n\\n bucket_name = parsed_s3_url.hostname;\\n key_prefix = parsed_s3_url.path;\\n if key_prefix[0] == '/':\\n key_prefix = key_prefix[1:]\\n if key_prefix[-1] != '/':\\n key_prefix = key_prefix + '/'\\n\\n def inner(fn_inner):\\n \\\"\\\"\\\"\\n Decorator function function sent in should be having signature\\n func(None,None, XmlDoc) and should yield JSON document one for\\n each file that should be persisted to S3\\n \\\"\\\"\\\"\\n\\n def handler(event, context):\\n \\\"\\\"\\\"\\n The AWS Lambda Entry Point\\n \\\"\\\"\\\"\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\\n\\n return handler\\n\\n return inner\",\n \"def _work(self, payload):\\n pdf_path = payload['pdf_path']\\n jpeg_prefixes = payload['jpeg_prefixes']\\n\\n webhook_url = payload['webhook_url']\\n webhook_data = payload['webhook_data']\\n\\n page_start = payload['page_start']\\n page_end = payload['page_end']\\n\\n self._log('Connecting to s3')\\n connection, bucket = self._connect_to_s3(payload['s3'])\\n\\n # create batches of pages to convert\\n for batch_first_page in range(page_start, page_end + 1, self.PAGES_PER_BATCH):\\n batch_last_page = min(batch_first_page + self.PAGES_PER_BATCH - 1, page_end)\\n batch_pages = range(batch_first_page, batch_last_page + 1)\\n\\n batch_jpeg_prefixes = jpeg_prefixes[batch_first_page - page_start:\\n batch_last_page + 1 - page_start]\\n self._convert_batch(bucket, pdf_path, batch_pages, batch_jpeg_prefixes,\\n webhook_url, webhook_data)\",\n \"def main():\\n # get arguments that are passes to the glue job\\n args = getResolvedOptions(sys.argv, ['source_bucket',\\n 'source_key',\\n 'destination_bucket',\\n 'destination_key'])\\n\\n print('args parsed : {}'.format(args))\\n\\n source_bucket = args[\\\"source_bucket\\\"]\\n source_key = args[\\\"source_key\\\"]\\n destination_bucket = args[\\\"destination_bucket\\\"]\\n destination_key = args[\\\"destination_key\\\"]\\n\\n # get zip file from s3\\n s3_object = boto3.resource('s3')\\\\\\n .Object(bucket_name=source_bucket, key=source_key)\\n zip_file_byte_object = io.BytesIO(\\n s3_object.get()[\\\"Body\\\"].read())\\n zip_file = zipfile.ZipFile(zip_file_byte_object)\\n name_list = zip_file.namelist()\\n ret_val = []\\n\\n # unzip the zip file and write contents to s3\\n for email_path in name_list:\\n print('processing email path {}'.format(email_path))\\n email = zip_file.open(email_path)\\n email_byte_object = io.BytesIO(email.read())\\n full_destination_key = destination_key + email_path\\n print('uploading object to {}'.format(full_destination_key))\\n boto3.client('s3').upload_fileobj(email_byte_object,\\n destination_bucket,\\n full_destination_key)\\n email.close()\\n ret_val.append(full_destination_key)\\n\\n print('stopped unzip')\\n return ret_val\",\n \"def handler(event, context):\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\",\n \"def lambda_handler(event, context): # pylint: disable=too-many-locals,too-many-branches,too-many-statements\\r\\n try: # pylint: disable=too-many-nested-blocks\\r\\n print(\\\"Execution started!\\\")\\r\\n #print(\\\"Event: \\\",event)\\r\\n # Bucket name and Full path for file - where file will be uploded\\r\\n source_bucket_name = event[\\\"detail\\\"][\\\"requestParameters\\\"][\\\"bucketName\\\"]\\r\\n source_key = urllib.parse.unquote_plus(\\r\\n event[\\\"detail\\\"][\\\"requestParameters\\\"][\\\"key\\\"], encoding='utf-8')\\r\\n \\r\\n print(\\\"file_path: \\\",source_key)\\r\\n #Loading master config\\r\\n print(\\\"Loading master_config\\\")\\r\\n audit_config = {}\\r\\n config_path = \\\"./config/\\\" + \\\\\\r\\n os.environ['CCM_ENV'] + \\\"/master_config.json\\\"\\r\\n config_content = open(config_path).read()\\r\\n config_json = json.loads(config_content)\\r\\n audit_config = config_json[\\\"audit_config\\\"]\\r\\n snow_params = config_json[\\\"ERROR_NOTIFICATION_SNOW_PARAMS\\\"]\\r\\n athena_query_param = config_json[\\\"ATHENA_QUERY_PARAMS\\\"]\\r\\n athena_table_params = config_json[\\\"ATHENA_TABLE_PARAMS\\\"]\\r\\n\\r\\n # Audit Parameters Based on the Invoking lambda and its operation involved\\r\\n audit_config[\\\"component_type_code\\\"] = \\\"ETL\\\"\\r\\n audit_config[\\\"component_name\\\"] = \\\"PCP Appflow\\\"\\r\\n audit_config[\\\"source_name\\\"] = \\\"Patient Connections Platform\\\"\\r\\n audit_config[\\\"target_name\\\"] = \\\"Consumer Consent Management\\\"\\r\\n audit_config[\\\"full_file_path\\\"] = \\\"s3://\\\" + \\\\\\r\\n source_bucket_name + \\\"/\\\" + source_key\\r\\n audit_config[\\\"file_version_id\\\"] = \\\"\\\"\\r\\n\\r\\n # Creates Job Entry in ABC Framework\\r\\n print(\\\"audit config::\\\", audit_config)\\r\\n process_execution_id = audit_helper.\\\\\\r\\n invoke_edb_abc_log_process_status_event_job_entry(audit_config)\\r\\n audit_config[\\\"process_execution_id\\\"] = process_execution_id\\r\\n print(\\\"process_execution_id ::\\\", process_execution_id)\\r\\n #print(\\\"source_key: \\\",source_key)\\r\\n s3_write = boto3.client('s3')\\r\\n record_dict = {}\\r\\n file_name = \\\"\\\"\\r\\n final_json = \\\"\\\"\\r\\n # prefix = \\\"\\\"\\r\\n # file_list = []\\r\\n # client = boto3.client(\\\"s3\\\")\\r\\n # result = client.list_objects(Bucket=source_bucket_name, Prefix=source_key, Delimiter='/')\\r\\n # #print(result)\\r\\n # for obj in result.get('CommonPrefixes'):\\r\\n # prefix = obj.get('Prefix')\\r\\n # #print(prefix)\\r\\n # file_list = list_files(client,source_bucket_name,prefix)\\r\\n # for file in file_list:\\r\\n # #print(file)\\r\\n json_read = read_s3_file(source_bucket_name, source_key)\\r\\n data = json.loads(json_read)\\r\\n #print(data)\\r\\n if data != '':\\r\\n record_dict = {k.lower(): v for k, v in data.items()}\\r\\n print(\\\"Record_Dict::\\\",record_dict)\\r\\n event_type_param = {}\\r\\n event_type_list = athena_table_params.keys()\\r\\n print(\\\"event_type_list\\\",event_type_list)\\r\\n for key in event_type_list:\\r\\n print(\\\"key\\\",key)\\r\\n if key in source_key:\\r\\n print(\\\"key\\\",key)\\r\\n event_type_param = athena_table_params[key]\\r\\n print(event_type_param)\\r\\n if \\\"changeeventheader\\\" in record_dict:\\r\\n if record_dict[\\\"changeeventheader\\\"][\\\"changeType\\\"] == \\\"CREATE\\\":\\r\\n #and record_dict[\\\"dtpc_affiliate__c\\\"] == 'US':\\r\\n recordid_create = record_dict[\\\"changeeventheader\\\"][\\\"recordIds\\\"][0]\\r\\n print(recordid_create)\\r\\n if recordid_create != '':\\r\\n last_modified_date = record_dict[\\\"lastmodifieddate\\\"].replace(\\\":\\\",\\\".\\\")\\r\\n create_json = json.dumps(record_dict)\\r\\n final_json = create_json\\r\\n file_name = recordid_create + \\\"-create-\\\" + str(last_modified_date)\\r\\n print(\\\"file_name: \\\",file_name)\\r\\n outbound_path = event_type_param[\\\"folder_path\\\"]\\r\\n final_source_key = outbound_path + '/' + file_name+\\\".json\\\"\\r\\n print(\\\"final_source_key :\\\", final_source_key)\\r\\n s3_write.put_object(\\r\\n Body=final_json, Bucket=source_bucket_name, Key=final_source_key)\\r\\n else:\\r\\n raise Exception(\\\"RecordId is missing: \\\", record_dict)\\r\\n elif record_dict[\\\"changeeventheader\\\"][\\\"changeType\\\"] == \\\"UPDATE\\\":\\r\\n record_ids_list = record_dict[\\\"changeeventheader\\\"][\\\"recordIds\\\"]\\r\\n if len(record_ids_list) != 0:\\r\\n for ele in record_ids_list:\\r\\n print(ele)\\r\\n element = \\\"'\\\" + ele + \\\"'\\\"\\r\\n payload_condition = event_type_param[\\\"recordid_condition\\\"]\\r\\n query = 'SELECT * FROM '+event_type_param[\\\"athena_create_table\\\"]+\\\\\\r\\n ' WHERE lastmodifieddate IN(SELECT max(lastmodifieddate) from '\\\\\\r\\n +event_type_param[\\\"athena_create_table\\\"]+\\\\\\r\\n ', UNNEST(\\\"'+payload_condition[0]+'\\\".\\\"'+payload_condition[1]+\\\\\\r\\n '\\\") AS ln(jsondata) WHERE jsondata IN ('+element+'));'\\r\\n print(query)\\r\\n athena_query_param['athena_query'] = query\\r\\n query_result_record_id = athena_helper.perform_athena_search\\\\\\r\\n (athena_query_param)\\r\\n print(\\\"Athena Query Result for Create Path:::\\\", query_result_record_id)\\r\\n update_json = create_complete_payload(data,query_result_record_id)\\r\\n print(\\\"update_json: \\\",update_json)\\r\\n if len(update_json) != 0:\\r\\n last_modified_date = record_dict[\\\"lastmodifieddate\\\"].replace\\\\\\r\\n (\\\":\\\",\\\".\\\")\\r\\n final_json = json.dumps(update_json)\\r\\n file_name = ele + \\\"-update-\\\" + str(last_modified_date)\\r\\n print(\\\"file_name: \\\",file_name)\\r\\n outbound_path = event_type_param[\\\"folder_path\\\"]\\r\\n final_source_key = outbound_path + '/' + file_name+\\\".json\\\"\\r\\n print(\\\"final_source_key :\\\", final_source_key)\\r\\n s3_write.put_object(\\r\\n Body=final_json, Bucket=source_bucket_name, \\\\\\r\\n Key=final_source_key)\\r\\n else:\\r\\n print(ele,\\\" does not have a create payload\\\")\\r\\n else:\\r\\n raise Exception(\\\"RecordId is missing: \\\", record_dict)\\r\\n else:\\r\\n raise Exception(\\\"ChangeEventHeader is missing: \\\", record_dict)\\r\\n else:\\r\\n raise Exception(\\\"Invalid Payload: \\\", record_dict)\\r\\n\\r\\n except (Exception) as err: # pylint: disable=line-too-long,broad-except\\r\\n print(\\\"Error occured: {0}\\\".format(str(err)))\\r\\n audit_type = \\\"error\\\"\\r\\n error_msg = sys.exc_info()\\r\\n exc_type = error_msg\\r\\n exc_obj = error_msg\\r\\n snow_params[\\\"flag\\\"] = \\\"FAIL\\\"\\r\\n snow_params[\\\"error_message\\\"] = str(exc_obj)\\r\\n snow_params[\\\"error_type\\\"] = str(exc_type)\\r\\n audit_config[\\\"exception_message\\\"] = str(exc_obj)\\r\\n if audit_config != {}:\\r\\n logging.exception(sys.exc_info())\\r\\n audit_helper.invoke_edb_abc_log_process_status_event(\\r\\n audit_type, audit_config) # pylint: disable=line-too-long\\r\\n audit_helper.raise_snow_incident(snow_params)\",\n \"def lambda_handler(*_):\\n Log.info(\\\"Checking bucket %s\\\", S3_BUCKET)\\n Log.info(\\\"Output Key: %s\\\", S3_OUTPUT_KEY)\\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\\n filtered = s3index.filter_objects(objects)\\n by_date = s3index.order_objects(filtered)\\n template = s3index.template_from_string(TEMPLATE)\\n index = s3index.build_index(\\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\\n s3_client = boto3.client(\\\"s3\\\")\\n s3_client.put_object(\\n ACL=\\\"public-read\\\",\\n Body=index.encode(),\\n Bucket=S3_BUCKET,\\n Key=S3_OUTPUT_KEY,\\n ContentType=\\\"text/html\\\"\\n )\",\n \"def lambda_handler(event, context):\\n\\n # Get details from the event.\\n job = event[\\\"CodePipeline.job\\\"]\\n input_bucket, input_key = get_input_artifact_location(job)\\n output_bucket, output_key = get_output_artifact_location(job)\\n user_params = get_user_parameters(job)\\n assume_role_arn = user_params[\\\"AssumeRoleArn\\\"]\\n image_parameter_name = user_params[\\\"ImageParameterName\\\"]\\n stack_name = user_params[\\\"StackName\\\"]\\n template_filename = user_params[\\\"TemplateFilename\\\"]\\n\\n # Create client in the pipeline account.\\n pipeline_s3_client = get_artifact_s3_client(job)\\n\\n # Create clients in the target account.\\n target_session = get_session(\\n role_arn=assume_role_arn, session_name=\\\"prepare-ami-deployment\\\"\\n )\\n target_cfn_client = target_session.client(\\\"cloudformation\\\")\\n target_ssm_client = target_session.client(\\\"ssm\\\")\\n\\n # Download the input artifact zip file, read manifest.json from it,\\n # and get the AMI it references. Also look up the associated image name.\\n with download_zip_file(\\n s3_client=pipeline_s3_client, bucket=input_bucket, key=input_key\\n ) as zip_file:\\n image_detail_string = zip_file.read(\\\"imageDetail.json\\\").decode(\\\"utf-8\\\")\\n log(\\\"IMAGE_DETAIL_STRING\\\", image_detail_string)\\n image_detail = json.loads(image_detail_string)\\n image = image_detail[\\\"ImageURI\\\"]\\n log(\\\"IMAGE\\\", image)\\n\\n # Update the SSM parameters with the image,\\n # to be used by the CloudFormation deployment stage of the pipeline.\\n target_ssm_client.put_parameter(\\n Name=image_parameter_name, Value=image, Type=\\\"String\\\", Overwrite=True\\n )\\n\\n # Write the CloudFormation stack's template to the output artifact location,\\n # to be used by the CloudFormation deployment stage of the pipeline.\\n template = get_cloudformation_template(\\n cfn_client=target_cfn_client, stack_name=stack_name\\n )\\n with create_zip_file({template_filename: template}) as zip_path:\\n pipeline_s3_client.upload_file(zip_path, output_bucket, output_key)\",\n \"def task_deploy():\\n client = boto3.client(\\\"lambda\\\")\\n\\n def upload_build():\\n if function_exists(client):\\n update_lambda_function(client)\\n else:\\n create_lambda_function(client)\\n\\n return {\\\"actions\\\": [upload_build], \\\"file_dep\\\": [f\\\"{DIST_DIR}/build.zip\\\"]}\",\n \"def s3zip_func(s3zip_path, _func=None, cred_fpath=None, api_path=None, num_files=-1, verbose=False, include=None, **kwargs):\\n\\n def operate(subfile, _func, verbose, **kwargs):\\n if verbose:\\n print(\\\"current time is {}\\\".format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')))\\n print(\\\"{} opened.\\\".format(subfile))\\n if _func is None:\\n return subfile\\n else:\\n return _func(fpath=zipf.open(subfile), fname=subfile, **kwargs)\\n\\n s3bucket, s3zip = s3zip_path.split(\\\"s3://\\\")[-1].split('/', 1)\\n myAccessKey, mySecretKey, myToken = get_creds(cred_fpath=cred_fpath, api_path=api_path)\\n\\n session = boto3.session.Session(\\n aws_access_key_id=myAccessKey,\\n aws_secret_access_key=mySecretKey,\\n aws_session_token=myToken\\n )\\n\\n s3 = session.resource(\\\"s3\\\")\\n bucket = s3.Bucket(s3bucket)\\n obj = bucket.Object(s3zip)\\n\\n with io.BytesIO(obj.get()[\\\"Body\\\"].read()) as tf:\\n\\n # rewind the file\\n tf.seek(0)\\n\\n # Read the file as a zipfile and process the members\\n with zipfile.ZipFile(tf, mode='r') as zipf:\\n zipfiles = zipf.namelist()\\n if include is None:\\n include = zipfiles\\n if num_files == -1:\\n num_files = len(zipfiles)\\n results = [operate(subfile, _func, verbose, **kwargs)\\n for subfile in zipfiles[:num_files] if subfile in include]\\n return results\",\n \"def upload(jsonfiles):\\n # clear S3 Bucket\\n bucket = S3Bucket()\\n bucket.clear()\\n for jsonfile in jsonfiles:\\n filename = os.path.basename(jsonfile)\\n key = build_key(filename)\\n logging.info(\\\"%s %s\\\", filename, key)\\n # store json in S3 object\\n bucket.store(key, jsonfile)\",\n \"def lambda_handler(event, context):\\n # Environmental Variables\\n CATALOG_BRANCHES_TABLE = anejocommon.set_env_var('CATALOG_BRANCHES_TABLE')\\n PRODUCT_INFO_TABLE = anejocommon.set_env_var('PRODUCT_INFO_TABLE')\\n S3_BUCKET = anejocommon.set_env_var('S3_BUCKET')\\n\\n # Loop through event records\\n try:\\n event_records = event['Records']\\n except KeyError:\\n event_records = [{'body': event}]\\n\\n for record in event_records:\\n try:\\n catalog_sync_info = json.loads(record['body'])\\n except TypeError:\\n catalog_sync_info = record['body']\\n\\n # Event Variables\\n catalog_url = catalog_sync_info['catalog_url']\\n\\n apple_bucket_catalog_path = anejocommon.get_path_from_url(\\n catalog_url,\\n 'html',\\n append_to_path='.apple'\\n )\\n \\n catalog = anejocommon.retrieve_url(catalog_url)\\n try:\\n catalog_plist = plistlib.readPlistFromBytes(catalog.data)\\n except plistlib.InvalidFileException:\\n print(\\\"ERROR: Cannot read catalog plist\\\")\\n return\\n\\n # Write our local (filtered) catalogs\\n anejocommon.write_local_catalogs(\\n apple_bucket_catalog_path,\\n catalog_plist,\\n S3_BUCKET,\\n CATALOG_BRANCHES_TABLE,\\n PRODUCT_INFO_TABLE\\n )\",\n \"def run(self):\\n self.compress(\\n self.__config.public_key(),\\n self.__config.input_dir(),\\n self.__config.output_dir(),\\n self.__config.suffix()\\n )\",\n \"def lambda_handler(event, context):\\n\\n LOGGER.debug(\\\"Lambda invoked\\\")\\n log_environment_variables()\\n\\n\\n # 1) Initialize\\n # Setup required AWS infrastructure\\n create_infrastructure()\\n\\n # If configuration exists, retrieve from S3 - otherwise create a new one\\n config = get_config()\\n LOGGER.info(f\\\"config loaded: {config}\\\")\\n\\n # If previously_valid_urls exists, retrieve from S3, otherwise create a blank one\\n previously_valid_urls = get_previously_valid_urls()\\n LOGGER.info(f\\\"previously_valid_urls loaded: {list(previously_valid_urls)}\\\")\\n\\n\\n # 2) Retrieve URL data\\n # Generate URLs\\n end_value_inclusive = config[\\\"start_value\\\"] + config[\\\"look_ahead\\\"] + 1\\n requests = [{\\\"url\\\": config[\\\"url\\\"] % value, \\\"value\\\": value} for value in\\n range(config[\\\"start_value\\\"], end_value_inclusive)]\\n LOGGER.info(f\\\"Requesting values in range {config['start_value']} -> {end_value_inclusive} (inclusive)\\\")\\n LOGGER.info(f\\\"First URL to request: {requests[0]['url'] if requests else 'None'}\\\")\\n LOGGER.info(f\\\"Last URL to request: {requests[-1]['url'] if requests else 'None'}\\\")\\n\\n # Get all responses\\n responses = get_responses(requests)\\n\\n # Create a list of requests that responded with status code 200\\n valid_urls = [{\\\"url\\\": response[\\\"url\\\"], \\\"value\\\": response[\\\"value\\\"]} for response in responses\\n if response[\\\"response\\\"].status == 200]\\n\\n\\n # 3) Process URL data\\n # Check valid_urls against previously_valid_urls and add to new_valid_urls\\n new_valid_urls = []\\n for valid_url in valid_urls:\\n if valid_url[\\\"url\\\"] not in previously_valid_urls:\\n LOGGER.debug(f\\\"New valid URL found: {valid_url['url']}\\\")\\n new_valid_urls.append(valid_url)\\n\\n\\n # 4) Send alerts based upon processed URL data\\n # Send emails for new_valid_urls\\n if new_valid_urls:\\n LOGGER.info(\\\"New URLs found, sending email.\\\")\\n send_email(config[\\\"from_email\\\"], config[\\\"to_email\\\"], config[\\\"email_subject\\\"],\\n generate_email_body(new_valid_urls))\\n\\n # Once emails have sent (and threw no exception), update start_value if slide_window is True\\n if config[\\\"slide_window\\\"]:\\n greatest_valid_value = new_valid_urls[-1]['value']\\n\\n new_start_value = greatest_valid_value + 1\\n LOGGER.info(f\\\"Updating start value from {config['start_value']} to {new_start_value}\\\")\\n config[\\\"start_value\\\"] = new_start_value\\n\\n\\n # 5) Save state\\n # Save previously_valid_urls as list of just URL strings, no metadata is needed\\n save_previously_valid_urls([valid_url[\\\"url\\\"] for valid_url in valid_urls])\\n\\n save_config(config)\\n\\n\\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps({\\n \\\"all_valid_urls\\\": valid_urls,\\n \\\"new_valid_urls\\\": new_valid_urls,\\n }),\\n }\",\n \"def zip_campaign_files(): # pylint: disable=too-many-locals\\n try:\\n build_tag = env.get('BUILD_TAG')\\n assert Campaign.dump_db() == Campaign.EX_OK\\n assert Campaign.dump_artifacts() == Campaign.EX_OK\\n with zipfile.ZipFile(f'{build_tag}.zip',\\n 'w', zipfile.ZIP_DEFLATED) as zfile:\\n zfile.write(f\\\"{build_tag}.json\\\")\\n for root, _, files in os.walk(build_tag):\\n for filename in files:\\n zfile.write(os.path.join(root, filename))\\n b3resource = boto3.resource(\\n 's3', endpoint_url=os.environ[\\\"S3_ENDPOINT_URL\\\"])\\n dst_s3_url = os.environ[\\\"S3_DST_URL\\\"]\\n multipart_threshold = 5 * 1024 ** 5 if \\\"google\\\" in os.environ[\\n \\\"S3_ENDPOINT_URL\\\"] else 8 * 1024 * 1024\\n tconfig = TransferConfig(multipart_threshold=multipart_threshold)\\n bucket_name = urllib.parse.urlparse(dst_s3_url).netloc\\n mime_type = mimetypes.guess_type(f'{build_tag}.zip')\\n path = urllib.parse.urlparse(dst_s3_url).path.strip(\\\"/\\\")\\n # pylint: disable=no-member\\n b3resource.Bucket(bucket_name).upload_file(\\n f'{build_tag}.zip',\\n os.path.join(path, f'{build_tag}.zip'),\\n Config=tconfig,\\n ExtraArgs={'ContentType': mime_type[\\n 0] or 'application/octet-stream'})\\n dst_http_url = os.environ[\\\"HTTP_DST_URL\\\"]\\n link = os.path.join(dst_http_url, f'{build_tag}.zip')\\n Campaign.__logger.info(\\n \\\"All data were successfully published:\\\\n\\\\n%s\\\", link)\\n return Campaign.EX_OK\\n except KeyError as ex:\\n Campaign.__logger.error(\\\"Please check env var: %s\\\", str(ex))\\n return Campaign.EX_ZIP_CAMPAIGN_FILES_ERROR\\n except botocore.exceptions.NoCredentialsError:\\n Campaign.__logger.error(\\n \\\"Please fill ~/.aws/credentials, ~/.boto or set \\\"\\n \\\"AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY in env\\\")\\n return Campaign.EX_ZIP_CAMPAIGN_FILES_ERROR\\n except Exception: # pylint: disable=broad-except\\n Campaign.__logger.exception(\\\"Cannot publish the artifacts\\\")\\n return Campaign.EX_ZIP_CAMPAIGN_FILES_ERROR\",\n \"def main():\\n arg_parser = argparse.ArgumentParser(description='Transfer data files to AWS S3 bucket.')\\n arg_parser.add_argument('mission', action='store', help='Mission data to be transferred.')\\n arg_parser.add_argument('target', action='store', help='Which AWS account to receive data.')\\n args = arg_parser.parse_args()\\n mission = args.mission\\n target = args.target.upper()\\n\\n config = configparser.ConfigParser()\\n config.read('aws.ini')\\n bucket = config[target]['bucket']\\n access_key_id = config[target]['access_key']\\n secret_key_id = config[target]['secret_key']\\n\\n source_dir = os.path.join(OUTBOUND, mission)\\n dir_list = get_target_list(source_dir)\\n for directory in dir_list:\\n if directory.endswith('_TIF'):\\n file_dir = os.path.join(source_dir, directory)\\n files = get_target_list(file_dir)\\n for file in files:\\n upload_to_aws(file_dir + file, bucket, mission + f'/{directory}/{file}',\\n access_key_id, secret_key_id)\",\n \"def upload_bucket_samples():\\n if not Config.region:\\n logger.error(\\\"You must specify a region in order to scan a bucket target\\\")\\n raise SystemExit(\\n \\\"Target region not specified. Use -r or --region to specify the target region.\\\"\\n )\\n # Connect to S3 in our target region\\n s_3 = boto3.resource(\\\"s3\\\", region_name=Config.region)\\n # Connect to our target bucket\\n bucket = s_3.Bucket(Config.target_dir)\\n # Retrieve a list of all objects in the bucket\\n summaries = bucket.objects.all()\\n # Inform the user as this may take a minute\\n logger.info(\\\"Assembling volume from target bucket (%s) for submission\\\", Config.target_dir)\\n # Loop through our list of files, downloading each to memory then upload them to the Sandbox\\n for item in summaries:\\n # Grab the file name from the path\\n filename = os.path.basename(item.key)\\n # Teensy bit of witch-doctor magic to download the file\\n # straight into the payload used for our upload to the Sandbox\\n response = Samples.upload_sample(file_name=filename,\\n file_data=io.BytesIO(\\n bucket.Object(key=item.key).get()[\\\"Body\\\"].read()\\n )\\n )\\n # Retrieve our uploaded file SHA256 identifier\\n sha = response[\\\"body\\\"][\\\"resources\\\"][0][\\\"sha256\\\"]\\n # Add this SHA256 to the upload payload element\\n Analyzer.uploaded.append(sha)\\n # Track the upload so we recognize the file when we're done\\n Analyzer.files.append([filename, item.key, sha])\\n # Inform the user of our progress\\n logger.debug(\\\"Uploaded %s to %s\\\", filename, sha)\",\n \"def create_function(self):\\n logger.info(\\\"Preparing stuf to create function\\\")\\n self.create_package('devel')\\n\\n self.upload_package()\\n\\n function_definition = self.get_function_configuration()\\n\\n # Set the first release Code block\\n function_definition['Code'] = {\\n 'S3Bucket': self.function_config['Code']['S3Bucket'],\\n 'S3Key': self.s3_filename,\\n }\\n\\n function_definition['Publish'] = True\\n\\n logger.info(\\\"Creating function\\\")\\n return self.aws_lambda.create_function(**function_definition)\",\n \"def lambda_handler(event, context):\\n\\n try:\\n\\n global AWS_REGION\\n\\n AWS_REGION = event['Records'][0]['awsRegion']\\n\\n s3objkey = urllib.parse.unquote_plus(event['Records'][0]['s3']['object']['key'], encoding='utf-8')\\n s3objsize = event['Records'][0]['s3']['object']['size']\\n bucket = event['Records'][0]['s3']['bucket']['name']\\n \\n print(\\\"\\\\nDealing with <- {} -> image from album [- {} -]\\\".format(str(s3objkey).split('/')[-1],\\n str(s3objkey).split('/')[-2]))\\n\\n full_table_name = DDB_TABLE + '_' + bucket\\n ddb_table = boto3.resource('dynamodb', region_name=AWS_REGION).Table(full_table_name)\\n\\n resp = ddb_table.get_item(Key={'FileName': s3objkey})\\n okey = resp.get('Item', {'OptimizedSizeKey': 'None'}).get('OptimizedSizeKey', 'No')\\n\\n if okey == 'Yes': # In DB file marked as optimized\\n\\n lbls = detect_rk_labels(s3objkey, s3objsize, bucket)\\n exiftags = fetch_exif_tags(s3objkey, bucket)\\n update_pig_config_ddb(s3objkey, bucket, lbls, exiftags, okey)\\n\\n elif okey == 'No' or okey == 'None': # file size is not optimized according to DB record\\n\\n _, optimized_img_path = img_optimizer(s3objkey, bucket)\\n update_pig_config_ddb(s3objkey, bucket, ok='Yes', _json=False)\\n\\n # Now we can PUT optimized file from /tmp to bucket\\n s3client = boto3.client('s3', region_name=AWS_REGION)\\n with open(optimized_img_path, 'rb') as content: # Upload optimized image to S3 (invokes another Lambda)\\n\\n ext = s3objkey.split('/')[-1].split('.')[-1]\\n for e, m in metadata.items():\\n if e == ext:\\n s3client.upload_fileobj(content,\\n bucket,\\n s3objkey,\\n ExtraArgs={'ContentType': m})\\n\\n print(\\\"Image {} size was optimized and uploaded to bucket as {}\\\".format(\\n str(s3objkey).split('/')[-1], s3objkey))\\n\\n print(\\\"\\\\nTime remaining (MS): {}\\\\n\\\".format(context.get_remaining_time_in_millis()))\\n\\n except Exception as e:\\n print('ERROR: ', e)\",\n \"def lambda_handler(event, context):\\n print(\\\"Incoming event: {}\\\".format(event))\\n for object in event.get(\\\"Records\\\"):\\n key = unquote_plus(object[\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"])\\n bucket_name = unquote_plus(object[\\\"s3\\\"][\\\"object\\\"][\\\"bucket_name\\\"])\\n print(\\\"Pymage: Resizing {} in bucket: {}\\\".format(key, bucket_name))\\n get_file_and_resize(bucket_name=bucket_name, file_name=key)\",\n \"def s3_process(self, payload, classifier):\\n s3_file_lines = StreamPreParsers.pre_parse_s3(payload.raw_record)\\n for line in s3_file_lines:\\n data = line.rstrip()\\n payload.refresh_record(data)\\n self.process_alerts(classifier, payload, data)\",\n \"def _zip_from_file_patterns(\\n root: str, includes: List[str], excludes: List[str], follow_symlinks: bool\\n) -> Tuple[bytes, str]:\\n LOGGER.info(\\\"base directory: %s\\\", root)\\n\\n files = list(_find_files(root, includes, excludes, follow_symlinks))\\n if not files:\\n raise RuntimeError(\\n \\\"Empty list of files for Lambda payload. Check \\\"\\n \\\"your include/exclude options for errors.\\\"\\n )\\n\\n LOGGER.info(\\\"adding %d files:\\\", len(files))\\n\\n for file_name in files:\\n LOGGER.debug(\\\" + %s\\\", file_name)\\n\\n return _zip_files(files, root)\",\n \"def lambda_handler(event, context):\\n try:\\n if not _is_setup:\\n _setup()\\n\\n previous_attempts = event.get(\\\"Artifact\\\", dict(ReadAttempts=0))[\\\"ReadAttempts\\\"]\\n\\n manifest = _load_manifest(event[\\\"ResourceKey\\\"])\\n artifact_location = dict(S3Bucket=_bucket_name, S3Key=manifest[\\\"ArtifactS3Key\\\"])\\n artifact_exists = _artifact_exists(manifest[\\\"ArtifactS3Key\\\"])\\n\\n return dict(\\n Found=artifact_exists,\\n ReadAttempts=previous_attempts + 1,\\n Location=artifact_location,\\n ProjectName=manifest[\\\"ProjectName\\\"],\\n Runtimes=manifest[\\\"Runtimes\\\"],\\n )\\n except Exception:\\n # TODO: Turn these into known-cause state machine failures.\\n raise\",\n \"def lambda_handler(event, context):\\n \\\"\\\"\\\"\\n Can Override the global variables using Lambda Environment Parameters\\n \\\"\\\"\\\"\\n global_vars = set_global_vars()\\n\\n resp_data = {\\\"status\\\": False, \\\"error_message\\\" : '' }\\n\\n if not global_vars.get('status'):\\n logger.error('ERROR: {0}'.format( global_vars.get('error_message') ) )\\n resp_data['error_message'] = global_vars.get('error_message')\\n return resp_data\\n\\n lgs = get_cloudwatch_log_groups(global_vars)\\n if not lgs.get('status'):\\n logger.error(f\\\"Unable to get list of cloudwatch Logs.\\\")\\n resp_data['error_message'] = lgs.get('error_message')\\n return resp_data\\n\\n f_lgs = filter_logs_to_export(global_vars, lgs)\\n if not (f_lgs.get('status') or f_lgs.get('log_groups')):\\n err = f\\\"There are no log group matching the filter or Unable to get a filtered list of cloudwatch Logs.\\\"\\n logger.error( err )\\n resp_data['error_message'] = f\\\"{err} ERROR:{f_lgs.get('error_message')}\\\"\\n resp_data['lgs'] = {'all_logs':lgs, 'cw_logs_to_export':global_vars.get('cw_logs_to_export'), 'filtered_logs':f_lgs}\\n return resp_data\\n\\n # TODO: This can be a step function (or) async 'ed\\n resp_data['export_tasks'] = []\\n #loop = asyncio.get_event_loop()\\n loop = asyncio.new_event_loop()\\n asyncio.set_event_loop(loop)\\n \\n # asyncio.set_event_loop(asyncio.new_event_loop())\\n # wait_coro = asyncio.wait(to_do) \\n # res, _ = loop.run_until_complete(wait_coro)\\n\\n # Lets being the archving/export process\\n for lg in f_lgs.get('log_groups'):\\n resp = loop.run_until_complete( export_cw_logs_to_s3( global_vars, lg.get('logGroupName'),global_vars.get('retention_days'), global_vars.get('log_dest_bkt')) )\\n print(resp)\\n resp_data['export_tasks'].append(resp)\\n loop.close()\\n # If the execution made it through here, no errors in triggering the export tasks. Set to True.\\n resp_data['status'] = True\\n return resp_data\",\n \"def upload_all_to_s3(static_root):\\n conn = _get_connection()\\n\\n files = _get_file_list(static_root)\\n _build_local_metadata_file(files, home=static_root)\\n\\n local_metadata = _fetch_current_local_metadata()\\n remote_metadata = _fetch_current_remote_metadata(conn)\\n files_to_upload = _filter_file_list(files, local_metadata, remote_metadata)\\n\\n start_time = time.time()\\n print 'Upload start: Landing in BUCKET_NAME: %s' % BUCKET_NAME\\n\\n for f in files_to_upload:\\n #Upload to Bucket\\n upload_file(conn, os.path.join(static_root, f), f)\\n\\n #Upload Gzip css/js version if gzip is enabled\\n can_be_gzipped = _file_can_be_compressed(os.path.join(static_root, f))\\n if GZIP_ENABLED and can_be_gzipped:\\n upload_file(conn, os.path.join(static_root, f), f, gzip=True)\\n\\n #Extra files\\n if EXTRA_FILES:\\n print 'Now, uploading extra files outside public/static'\\n for filename_local, filename_s3 in EXTRA_FILES.items():\\n upload_file(conn, filename_local, filename_s3)\\n\\n end_time = time.time()\\n print 'Upload finished: \\\\\\n Time elapsed: %s s' % round(end_time - start_time, 3)\\n\\n # refresh metadata file on the server\\n print 'Uploading local metadata file'\\n upload_file(conn, LOCAL_METADATA_FILE, REMOTE_METADATA_FILE)\\n print 'Uploading process DONE'\",\n \"def test_write_multi_files_to_bucket(\\n self, mcg_obj, awscli_pod, bucket_factory, amount, file_type\\n ):\\n data_dir = \\\"/data\\\"\\n if file_type == \\\"large\\\":\\n public_bucket = PUBLIC_BUCKET\\n obj_key = LARGE_FILE_KEY\\n elif file_type == \\\"small\\\":\\n public_bucket = constants.TEST_FILES_BUCKET\\n obj_key = \\\"random1.txt\\\"\\n elif file_type == \\\"large_small\\\":\\n public_bucket = PUBLIC_BUCKET\\n obj_key = LARGE_FILE_KEY.rsplit(\\\"/\\\", 1)[0]\\n\\n # Download the file to pod\\n awscli_pod.exec_cmd_on_pod(command=f\\\"mkdir {data_dir}\\\")\\n public_s3_client = retrieve_anon_s3_resource().meta.client\\n download_files = []\\n # Use obj_key as prefix to download multiple files for large_small\\n # case, it also works with single file\\n for obj in public_s3_client.list_objects(\\n Bucket=public_bucket, Prefix=obj_key\\n ).get(\\\"Contents\\\"):\\n # Skip the extra file in large file type\\n if file_type == \\\"large\\\" and obj[\\\"Key\\\"] != obj_key:\\n continue\\n logger.info(f'Downloading {obj[\\\"Key\\\"]} from AWS bucket {public_bucket}')\\n download_obj_cmd = f'cp s3://{public_bucket}/{obj[\\\"Key\\\"]} {data_dir}'\\n awscli_pod.exec_cmd_on_pod(\\n command=craft_s3_command(download_obj_cmd), out_yaml_format=False\\n )\\n download_files.append(obj[\\\"Key\\\"])\\n # Write all downloaded objects to the new bucket\\n bucketname = bucket_factory(1)[0].name\\n base_path = f\\\"s3://{bucketname}\\\"\\n for i in range(amount):\\n full_object_path = base_path + f\\\"/{i}/\\\"\\n sync_object_directory(awscli_pod, data_dir, full_object_path, mcg_obj)\\n\\n obj_list = list(\\n obj.key.split(\\\"/\\\")[-1]\\n for obj in mcg_obj.s3_list_all_objects_in_bucket(bucketname)\\n )\\n\\n # Check total copy files amount match\\n if file_type == \\\"large_small\\\":\\n assert len(obj_list) == 2 * amount, \\\"Total file amount does not match\\\"\\n else:\\n assert len(obj_list) == amount, \\\"Total file amount does not match\\\"\\n\\n # Check deduplicate set is same\\n test_set = set([i.split(\\\"/\\\")[-1] for i in download_files])\\n assert test_set == set(obj_list), \\\"File name set does not match\\\"\",\n \"def main(transcribe_bucket_name, mp3_bucket_name):\\n\\n s3 = boto3.resource('s3')\\n for bucket in s3.buckets.all():\\n if bucket.name == transcribe_bucket_name:\\n for key in bucket.objects.all():\\n if key.key.endswith('.json'):\\n r = {}\\n # Get reference number\\n reference = basename(key.key).replace('.json', '')\\n r['ref'] = reference\\n # Get URL\\n location = boto3.client('s3') \\\\\\n .get_bucket_location(\\n Bucket=mp3_bucket_name)['LocationConstraint']\\n base_url = join('https://s3-%s.amazonaws.com' % location,\\n mp3_bucket_name)\\n url = join(base_url, key.key.replace('.json', '.mp3'))\\n r['url'] = url\\n # Download json file\\n try:\\n s3.Bucket(transcribe_bucket_name) \\\\\\n .download_file(key.key, key.key)\\n except Exception as exception:\\n return 1\\n # Get text\\n with open(key.key, 'r') as f:\\n data = json.load(f)\\n text = data['results']['transcripts'][0]['transcript']\\n r['text'] = text\\n # Get sentiment\\n sentiment = get_sentiment(text)\\n r['sentiment'] = sentiment\\n # Check promotion\\n promo = check_promo(text)\\n r['promo'] = promo\\n # Save to Gooogle Sheets\\n values = [r['ref'], r['text'], r['promo'], r['sentiment'],\\n r['url']]\\n append_row(values)\\n # Remove tmp json file from local machine\\n remove(key.key)\",\n \"def deploy_templates(**kwargs):\\n\\n # Parameters to find the templates in specified S3 bucket\\n objects_parameters = {}\\n objects_parameters.update({'Bucket': kwargs['bucket']})\\n if 'prefix' in kwargs:\\n objects_parameters.update({'Prefix': kwargs['prefix']})\\n\\n deploy_parameters = {}\\n if 'Tags' in kwargs:\\n deploy_parameters.update({'Tags': kwargs['Tags']})\\n if 'rollback_configuration' in kwargs:\\n deploy_parameters.update(\\n {'rollback_configuration': kwargs['rollback_configuration']})\\n if 'notification_arns' in kwargs:\\n deploy_parameters.update(\\n {'NotificationARNs': kwargs['notification_arns']})\\n\\n session = kwargs['session']\\n s3_client = session.client('s3')\\n cfn_client = session.client('cloudformation')\\n\\n cfn_ext = ('.json', '.template', '.txt', '.yaml', '.yml')\\n\\n stack_archive = []\\n\\n stack_counter = 0\\n for s3_object in s3_client.list_objects_v2(\\n **objects_parameters)['Contents']:\\n # Only lets through S3 objects with the names properly formatted for\\n # LEO\\n if s3_object['Key'].endswith(cfn_ext) and s3_object['Key'].split(\\n '/')[-1].startswith('{:02d}'.format(stack_counter)):\\n stack_name = \\\"{}-{}\\\".format(kwargs['job_identifier'], str(\\n s3_object['Key'].split('/')[-1]).rsplit('.', 1)[0])\\n\\n check = deploy_type(stack_name=stack_name,\\n cfn_client=cfn_client)\\n # If stack name exists it will update, else it will create\\n if check['Update']:\\n try:\\n stack = update_stack(\\n update_stack_name=check['UpdateStackName'],\\n key_object=s3_object['Key'],\\n bucket=objects_parameters['Bucket'],\\n job_identifier=kwargs['job_identifier'],\\n parameters=kwargs['parameters'],\\n gated=kwargs['gated'],\\n session=kwargs['session'],\\n deploy_parameters=deploy_parameters)\\n\\n if stack is not None: # If there are no changes to the stack\\n stack_archive.append({'StackName': stack['StackName']})\\n\\n stack_counter += 1\\n except Exception as e:\\n log.exception('Error: {}'.format(e))\\n exit(1)\\n else:\\n try:\\n stack = create_stack(\\n key_object=s3_object['Key'],\\n bucket=objects_parameters['Bucket'],\\n job_identifier=kwargs['job_identifier'],\\n parameters=kwargs['parameters'],\\n gated=kwargs['gated'],\\n session=kwargs['session'],\\n deploy_parameters=deploy_parameters)\\n\\n if stack is None: # If the user decided not to deploy\\n exit(0)\\n else:\\n stack_archive.append({'StackName': stack['StackName']})\\n stack_counter += 1\\n except Exception as e:\\n log.exception('Error: {}'.format(e))\\n exit(1)\",\n \"def lambda_handler(event, context) -> Dict:\\n\\n destination: Optional[str] = os.environ.get(\\\"DESTINATION\\\")\\n assert destination, \\\"failed to get destination\\\"\\n\\n ec2_client = boto3.client(\\\"ec2\\\")\\n try:\\n vpcs_res: Dict = ec2_client.describe_vpcs()\\n except ClientError as error:\\n raise error\\n\\n for vpc in vpcs_res.get(\\\"Vpcs\\\", []):\\n try:\\n flow_logs_res: Dict = ec2_client.describe_flow_logs(\\n Filters=[{\\\"Name\\\": \\\"resource-id\\\", \\\"Values\\\": [vpc.get(\\\"VpcId\\\")]}],\\n )\\n except ClientError as error:\\n raise error\\n\\n flow_logs = flow_logs_res.get(\\\"FlowLogs\\\", [])\\n\\n if len(flow_logs) == 0:\\n try:\\n response = ec2_client.create_flow_logs(\\n ResourceIds=[vpc.get(\\\"VpcId\\\")],\\n ResourceType=\\\"VPC\\\",\\n TrafficType=\\\"ALL\\\",\\n LogDestinationType=\\\"s3\\\",\\n LogDestination=destination,\\n )\\n except ClientError as error:\\n raise error\\n\\n if response.get(\\\"Unsuccessful\\\", []) != []:\\n raise Exception(f\\\"failed to create_flow_logs {response}\\\")\\n\\n print(f\\\"Created flow logs for {vpc.get('VpcId')}\\\")\\n\\n elif len(flow_logs) >= 1:\\n exists = False\\n for flow_log in flow_logs:\\n if flow_log.get(\\\"LogDestination\\\", \\\"\\\") == destination:\\n exists = True\\n\\n if not exists:\\n try:\\n ec2_client.create_flow_logs(\\n ResourceIds=[vpc.get(\\\"VpcId\\\")],\\n ResourceType=\\\"VPC\\\",\\n TrafficType=\\\"ALL\\\",\\n LogDestinationType=\\\"s3\\\",\\n LogDestination=destination,\\n )\\n except ClientError as error:\\n raise error\\n print(f\\\"Created flow logs for {vpc.get('VpcId')}\\\")\\n\\n return {\\\"statusCode\\\": 200, \\\"body\\\": \\\"success\\\"}\",\n \"def run(self):\\n #To ADD\\n \\n # Get Access keys from command line \\n accessKey = self.accessKey\\n secretAccessKey = self.secretAccessKey\\n\\n try:\\n #Creating S3 Connection using Access and Secrect access key\\n conn = S3Connection(accessKey, secretAccessKey)\\n # Connecting to specified bucket\\n b = conn.get_bucket('case3')\\n #Initializing Key\\n k = Key(b)\\n #Uploading pickle and model performance files to S3 Bucket\\n onlyfiles = pd.read_csv(run_models().output().path)['0'].tolist()\\n for i in onlyfiles:\\n k.key = i\\n k.set_contents_from_filename(i)\\n k.set_acl('public-read')\\n except:\\n print(\\\"Amazon credentials or location is invalid\\\")\",\n \"def ingest(self):\\n datetime_retrieved = datetime.now()\\n prefix = self.prefix_template.format(**self.feed, year=datetime_retrieved.strftime('%Y'), month=datetime_retrieved.strftime('%m'))\\n fp = self.generate_fp(\\n template='{feedname}_{datetime_retrieved}',\\n feedname=self.feed['feedname'],\\n datetime_retrieved=datetime_retrieved\\n )\\n\\n url_to_request = self.url_dict[(self.feed['state'],self.feed['feedname'])]\\n try:\\n r = requests.get(url_to_request)\\n if r.status_code == 200:\\n data_to_write = r.content\\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\\n self.print_func('Raw data ingested from {} to {} at {} UTC'.format(url_to_request, prefix+fp, datetime_retrieved))\\n else:\\n self.print_func('Received status code {} from {} feed.'.format(r.status_code,self.feed['feedname']))\\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))\\n return\\n except BaseException as e:\\n data_to_write = f'The feed at {datetime_retrieved.isoformat()}.'.encode('utf-8')\\n fp += '__FEED_NOT_RETRIEVED'\\n self.s3helper.write_bytes(data_to_write, self.bucket, key=prefix+fp)\\n self.print_func('We could not ingest data from {} at {} UTC'.format(url_to_request, datetime_retrieved))\\n raise e\\n\\n # trigger semi-parse ingest\\n if self.feed['pipedtosandbox'] == True:\\n self.print_func('Trigger {} for {}'.format(self.lambda_to_trigger, self.feed['feedname']))\\n lambda_client = self.s3helper.session.client('lambda')\\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\\n response = lambda_client.invoke(\\n FunctionName=self.lambda_to_trigger,\\n InvocationType='Event',\\n LogType='Tail',\\n ClientContext='',\\n Payload=json.dumps(data_to_send).encode('utf-8')\\n )\\n self.print_func(response)\\n else:\\n self.print_func('Skip triggering ingestion of {} to sandbox.'.format(self.feed['feedname']))\\n\\n # trigger ingest to socrata\\n if self.feed['pipedtosocrata'] == True:\\n self.print_func('Trigger {} for {}'.format(self.socrata_lambda_to_trigger, self.feed['feedname']))\\n lambda_client = self.s3helper.session.client('lambda')\\n data_to_send = {'feed': self.feed, 'bucket': self.bucket, 'key': prefix+fp}\\n response = lambda_client.invoke(\\n FunctionName=self.socrata_lambda_to_trigger,\\n InvocationType='Event',\\n LogType='Tail',\\n ClientContext='',\\n Payload=json.dumps(data_to_send).encode('utf-8')\\n )\\n self.print_func(response)\\n else:\\n self.print_func('Skip triggering ingestion of {} to Socrata.'.format(self.feed['feedname']))\",\n \"def download_data_from_s3(bucket_name,\\n filter_vals=[''],\\n condition_func=lambda filename: True,\\n num_threads=20):\\n\\n # simple method for threads to pull from a queue and download JSON files\\n def download_object(queue):\\n while True:\\n obj = queue.get()\\n if obj is None:\\n break\\n obj.Object().download_file(obj.key.split(\\\"/\\\")[-1])\\n # TODO: test for files with prefixes here\\n queue.task_done()\\n\\n cwd = Path.cwd()\\n data_dir = cwd / 'data'\\n # try:\\n os.makedirs(data_dir, exist_ok=True)\\n # except FileExistsError:\\n # pass\\n os.chdir(data_dir)\\n\\n # create a queue for objects that need to be copied\\n # and spawn threads to copy them concurrently\\n download_queue = Queue(maxsize=0)\\n workers = []\\n for worker in range(num_threads):\\n worker = Thread(target=download_object, args=(download_queue, ))\\n worker.setDaemon(True)\\n worker.start()\\n workers.append(worker)\\n\\n # loop through the files in the bucket and add them to the queue if they\\n # satisfy the condition_func\\n s3 = boto3.resource(\\\"s3\\\")\\n bucket = s3.Bucket(bucket_name)\\n for prefix in filter_vals:\\n for obj in bucket.objects.filter(Prefix=prefix):\\n filename = obj.key.split(\\\"/\\\")[-1]\\n if condition_func(filename) and not (data_dir / filename).exists():\\n download_queue.put(obj)\\n\\n # wait for the queue to be empty, then join all threads\\n download_queue.join()\\n for _ in range(num_threads):\\n download_queue.put(None)\\n for worker in workers:\\n worker.join()\\n\\n os.chdir(cwd)\",\n \"def create_thumbnails():\\n bucket = BASE_BUCKET + ARG.MANIFOLD\\n result = S3_CLIENT.list_objects(Bucket=bucket, Prefix=PREFIX + \\\"/\\\", Delimiter=\\\"/\\\")\\n lev1 = result.get('CommonPrefixes')\\n for lev1pre in tqdm(lev1, desc=\\\"Prefixes\\\"):\\n bpre = lev1pre.get('Prefix').split(\\\"/\\\")[-2]\\n COUNT[\\\"Prefixes\\\"] += 1\\n #result2 = S3_CLIENT.list_objects(Bucket=bucket, Prefix=\\\"/\\\".join([PREFIX, bpre]) + \\\"/\\\",\\n # Delimiter=\\\"/\\\")\\n paginator = S3_CLIENT.get_paginator(\\\"list_objects\\\")\\n pages = paginator.paginate(Bucket=bucket, Prefix=\\\"/\\\".join([PREFIX, bpre]) + \\\"/\\\",\\n Delimiter=\\\"/\\\")\\n for page in pages:\\n COUNT[\\\"Pages\\\"] += 1\\n lev2 = page.get('CommonPrefixes')\\n for lev2pre in lev2:\\n body = lev2pre.get('Prefix').split(\\\"/\\\")[-2]\\n COUNT[\\\"Body IDs\\\"] += 1\\n if ARG.WRITE:\\n invoke_lambda(bucket, body)\\n else:\\n LOGGER.debug(\\\"/\\\".join([bucket, bpre, body]))\\n print(COUNT)\",\n \"def preprocess(event, context):\\n # create file in DDB\\n file_id = utils.generate_id()\\n file_request = json.loads(event.get('body'))\\n FileModel.create({\\n 'id': file_id,\\n 'name': file_request.get('name')\\n })\\n LOGGER.debug('Files item created. service=ddb method=put_item id={}'.format(file_id))\\n # generate signed URL for posting file\\n url = S3_CLIENT.generate_presigned_url(\\n ClientMethod='put_object',\\n Params={\\n 'Bucket': runtime_context.BUCKET_NAME,\\n 'Key': file_id\\n },\\n ExpiresIn=runtime_context.EXPIRATION\\n )\\n LOGGER.debug('Presigned URL generated. service=s3 method=put_object id={}'.format(file_id))\\n # send back the signed url\\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps({\\n 'id': file_id,\\n 'url': url\\n }),\\n # CORS header\\n \\\"headers\\\": {\\n \\\"Access-Control-Allow-Origin\\\": \\\"*\\\"\\n }\\n }\",\n \"def lambda_handler(event, context):\\n # get the image data\\n if 'queryStringParameters' in event:\\n image = event['queryStringParameters']['base64image']\\n k = event['queryStringParameters']['k'] # number of similar images\\n\\n else:\\n image = event['base64image']\\n k = event['k'] # number of similar images\\n \\n # connect to elastic search\\n es = connect_to_ES(ES_ENDPOINT)\\n\\n # get the image features from the sagemaker endpoint\\n features = extract_features(image)\\n uris = search_es(es, features, k)\\n presigned_uris = create_presigned_url(uris, expiration=3600*24*2)\\n\\n return {\\n 'statusCode': 200,\\n 'headers':{'Content-Type':'application/json'},\\n 'body': json.dumps({'images': presigned_uris})\\n }\",\n \"def lambda_handler(event, context):\\n LOGGER.debug(\\n \\\"Processing event: %s\\\",\\n json.dumps(event, indent=2)\\n if LOGGER.isEnabledFor(logging.DEBUG)\\n else \\\"--data-hidden--\\\",\\n )\\n sfn_client = boto3.client(\\\"stepfunctions\\\")\\n s3_resource = boto3.resource(\\\"s3\\\")\\n\\n all_accounts = get_all_accounts()\\n account_file = get_file_from_s3(get_details_from_event(event), s3_resource)\\n\\n processed_account_list = process_account_list(\\n all_accounts=all_accounts,\\n accounts_in_file=account_file.get(\\\"content\\\", {}).get(\\\"accounts\\\", []),\\n )\\n\\n if processed_account_list:\\n start_executions(\\n sfn_client,\\n processed_account_list,\\n codepipeline_execution_id=account_file.get(\\\"execution_id\\\"),\\n request_id=context.aws_request_id,\\n )\\n return event\",\n \"def lambda_handler(event, context):\\n\\n # S3 resource invocation\\n s3_resource = boto3.resource('s3')\\n # S3 bucket selection\\n data_bucket_name = \\\"put_here_data_bucket_name\\\"\\n # The SageMaker runtime is what allows us to invoke the endpoint that we've created.\\n runtime = boto3.Session().client('sagemaker-runtime')\\n\\n request_body_dict = json.loads(event['body'])\\n\\n # Now we use the SageMaker runtime to invoke our endpoint, sending both ticker and start date if given\\n if request_body_dict['start_date'] != \\\"\\\":\\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\\n ContentType='application/json', # The data format that is expected\\n Body=encode_future_request(request_body=request_body_dict,\\n s3_resource=s3_resource,\\n s3_bucket=data_bucket_name, prefix='valid'))\\n # or only ticker name if no start date has been provided\\n elif request_body_dict['ticker_name'] != \\\"\\\":\\n response = runtime.invoke_endpoint(EndpointName='DeepAR-ml-spp', # The name of the endpoint we created\\n ContentType='application/json', # The data format that is expected\\n Body=encode_request(ticker_name=request_body_dict['ticker_name'],\\n s3_resource=s3_resource, s3_bucket=data_bucket_name,\\n prefix='train'))\\n\\n # The response is an HTTP response whose body contains the result of our inference\\n result = response['Body'].read().decode('utf-8')\\n\\n # print data for debug purposes\\n print(result)\\n\\n return {\\n 'statusCode': 200,\\n 'headers': {'Content-Type': 'application/json', 'Access-Control-Allow-Origin': '*'},\\n 'body': str(result)\\n }\",\n \"def main(event, context):\\n s3 = boto3.resource('s3')\\n try:\\n s3.meta.client.download_file(S3_BUCKET, S3_EDITORS_KEY, '/tmp/local.json')\\n except ClientError as e:\\n print('Error downloading file from S3 {}'.format(e))\\n return {'statusCode': 400, 'body': json.dumps({'status': str(e)})}\\n try:\\n user = event['pathParameters']['user']\\n attributes = json.loads(event['body'])\\n age = attributes['age']\\n editor = attributes['editor']\\n except KeyError as error:\\n print('Problem getting data from request: {}'.format(error))\\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}\\n with open('/tmp/local.json', 'a') as local:\\n data = dict(\\n user=user,\\n age=age,\\n editor=editor,\\n now=datetime.now().isoformat(' ')\\n )\\n json.dump(data, local)\\n local.write('\\\\n')\\n try:\\n s3.meta.client.upload_file('/tmp/local.json', S3_BUCKET, S3_EDITORS_KEY)\\n return {'statusCode': 200, 'body': json.dumps({'status': 'success'})}\\n except ClientError as error:\\n print('Problem uploading file to S3: {}'.format(error))\\n return {'statusCode': 400, 'body': json.dumps({'status': str(error)})}\",\n \"def deployLambdaFunctionFromZip(name:str, iamRoleARN:str, handler:str, package:Path, runtime='python3.7') -> str:\\n packageContent = package.read_bytes()\\n client = boto3.client('lambda')\\n try:\\n response = client.create_function(\\n Role = iamRoleARN,\\n FunctionName = name,\\n Runtime = runtime,\\n Handler = handler,\\n Code = {\\n 'ZipFile': packageContent\\n }\\n )\\n except ClientError as e:\\n raise LambdaDeploymentException(e)\\n if not 'FunctionArn' in response:\\n raise LambdaDeploymentException('\\\\\\\"FunctionArn\\\\\\\" is not contained in the response. ', repr(response))\\n return response['FunctionArn']\",\n \"def _zip_files(self):\\n\\n zip_file = Path(self.build_directory.parent).joinpath(\\n self.package_name + '.zip'\\n )\\n logger.info('Creating zip file: %s', zip_file)\\n\\n shutil.make_archive(zip_file.with_suffix(''), 'zip', self.build_directory)\\n shutil.move(str(zip_file), self.build_directory)\",\n \"def process_data() -> None:\\n yesterday_date = std.get_yesterday()\\n s3_working_bucket = \\\"stwit-working-bucket\\\"\\n s3_processed_bucket = \\\"stwit-processed-bucket\\\"\\n\\n df_tweets = process_tweets(s3_working_bucket, yesterday_date)\\n df_users = process_users(s3_working_bucket, yesterday_date)\\n df_stocks = process_stocks(s3_working_bucket, yesterday_date)\\n\\n logging.debug(\\\"Calling filter_tweets function.\\\")\\n df_tweets, df_users = stp.filter_tweets(df_tweets, df_users)\\n\\n logging.debug(\\\"Calling remove_duplicate_tweets function.\\\")\\n df_tweets, df_users = stp.remove_duplicate_tweets(df_tweets, df_users)\\n\\n logging.debug(\\\"Calling export_twitter_csv function with df_tweets data.\\\")\\n stdm.export_csv(df_tweets, s3_processed_bucket, yesterday_date, \\\"twitter\\\", \\\"tweets\\\")\\n\\n logging.debug(\\\"Calling export_twitter_csv function with df_users data.\\\")\\n stdm.export_csv(df_users, s3_processed_bucket, yesterday_date, \\\"twitter\\\", \\\"users\\\")\\n\\n logging.debug(\\\"Calling export_stocks_csv function.\\\")\\n stdm.export_csv(df_stocks, s3_processed_bucket, yesterday_date, \\\"stocks\\\")\",\n \"def deploy(options, config):\\n processor = options.processor\\n # Terraform apply only to the module which contains our lambda functions\\n targets = set()\\n packages = []\\n\\n def _publish_version(packages):\\n \\\"\\\"\\\"Publish Lambda versions\\\"\\\"\\\"\\n for package in packages:\\n if package.package_name in {'athena_partition_refresh', 'threat_intel_downloader'}:\\n published = LambdaVersion(\\n config=config, package=package, clustered_deploy=False).publish_function()\\n else:\\n published = LambdaVersion(config=config, package=package).publish_function()\\n if not published:\\n return False\\n\\n return True\\n\\n def _deploy_rule_processor():\\n \\\"\\\"\\\"Create Rule Processor package and publish versions\\\"\\\"\\\"\\n rule_package = RuleProcessorPackage(config=config, version=current_version)\\n rule_package.create_and_upload()\\n return rule_package\\n\\n def _deploy_alert_processor():\\n \\\"\\\"\\\"Create Alert Processor package and publish versions\\\"\\\"\\\"\\n alert_package = AlertProcessorPackage(config=config, version=current_version)\\n alert_package.create_and_upload()\\n return alert_package\\n\\n def _deploy_athena_partition_refresh():\\n \\\"\\\"\\\"Create Athena Partition Refresh package and publish\\\"\\\"\\\"\\n athena_package = AthenaPackage(config=config, version=current_version)\\n athena_package.create_and_upload()\\n return athena_package\\n\\n def _deploy_apps_function():\\n \\\"\\\"\\\"Create app integration package and publish versions\\\"\\\"\\\"\\n app_integration_package = AppIntegrationPackage(config=config, version=apps_version)\\n app_integration_package.create_and_upload()\\n return app_integration_package\\n\\n def _deploy_threat_intel_downloader():\\n \\\"\\\"\\\"Create Threat Intel downloader package and publish version\\\"\\\"\\\"\\n threat_intel_package = ThreatIntelDownloaderPackage(\\n config=config,\\n version=ti_downloader_version\\n )\\n threat_intel_package.create_and_upload()\\n return threat_intel_package\\n\\n if 'all' in processor:\\n targets.update({'module.stream_alert_{}'.format(x) for x in config.clusters()})\\n\\n targets.update({\\n 'module.app_{}_{}'.format(app_name, cluster)\\n for cluster, info in config['clusters'].iteritems()\\n for app_name in info['modules'].get('stream_alert_apps', {})\\n })\\n\\n packages.append(_deploy_rule_processor())\\n packages.append(_deploy_alert_processor())\\n packages.append(_deploy_apps_function())\\n\\n # Only include the Athena function if it exists and is enabled\\n athena_config = config['lambda'].get('athena_partition_refresh_config')\\n if athena_config and athena_config.get('enabled', False):\\n targets.add('module.stream_alert_athena')\\n packages.append(_deploy_athena_partition_refresh())\\n\\n else:\\n\\n if 'rule' in processor:\\n targets.update({'module.stream_alert_{}'.format(x) for x in config.clusters()})\\n\\n packages.append(_deploy_rule_processor())\\n\\n if 'alert' in processor:\\n targets.update({'module.stream_alert_{}'.format(x) for x in config.clusters()})\\n\\n packages.append(_deploy_alert_processor())\\n\\n if 'apps' in processor:\\n\\n targets.update({\\n 'module.app_{}_{}'.format(app_name, cluster)\\n for cluster, info in config['clusters'].iteritems()\\n for app_name in info['modules'].get('stream_alert_apps', {})\\n })\\n\\n packages.append(_deploy_apps_function())\\n\\n if 'athena' in processor:\\n targets.add('module.stream_alert_athena')\\n\\n packages.append(_deploy_athena_partition_refresh())\\n\\n if 'threat_intel_downloader' in processor:\\n targets.add('module.threat_intel_downloader')\\n packages.append(_deploy_threat_intel_downloader())\\n\\n # Regenerate the Terraform configuration with the new S3 keys\\n if not terraform_generate(config=config):\\n return\\n\\n # Run Terraform: Update the Lambda source code in $LATEST\\n if not helpers.tf_runner(targets=targets):\\n sys.exit(1)\\n\\n # TODO(jack) write integration test to verify newly updated function\\n\\n # Publish a new production Lambda version\\n if not _publish_version(packages):\\n return\\n\\n # Regenerate the Terraform configuration with the new Lambda versions\\n if not terraform_generate(config=config):\\n return\\n\\n # Apply the changes to the Lambda aliases\\n helpers.tf_runner(targets=targets)\",\n \"def create_bagit_stream(dir_name, payload_info_list):\\n zip_file = zipstream.ZipFile(mode=\\\"w\\\", compression=zipstream.ZIP_DEFLATED)\\n _add_path(dir_name, payload_info_list)\\n payload_byte_count, payload_file_count = _add_payload_files(\\n zip_file, payload_info_list\\n )\\n tag_info_list = _add_tag_files(\\n zip_file, dir_name, payload_info_list, payload_byte_count, payload_file_count\\n )\\n _add_manifest_files(zip_file, dir_name, payload_info_list, tag_info_list)\\n _add_tag_manifest_file(zip_file, dir_name, tag_info_list)\\n return zip_file\",\n \"def _add_files(self, category, files, session, bucket=None):\\n\\n with session[category].make_commit('master') as commit:\\n for filename, content in files.items():\\n if bucket:\\n commit.put_file_url(\\n filename,\\n 's3://%s/%s' % (bucket, content)\\n )\\n else:\\n commit.put_file_bytes(\\n filename,\\n content\\n )\",\n \"def glue_process_handler(event, context) -> None:\\n s3_bucket_name = \\\"\\\"\\n incoming_file = \\\"\\\"\\n inbound_folder = \\\"\\\"\\n glue_job = boto3.client(\\\"glue\\\")\\n\\n logger.debug(\\\"## ENVIRONMENT VARIABLES: %s\\\", os.environ)\\n logger.debug(\\\"## EVENT: %s\\\", event)\\n\\n try:\\n logger.debug(\\\" Entering in to Try Block\\\")\\n (s3_bucket_name, s3_file) = get_file_from_s3_trigger(event)\\n if s3_bucket_name is None or s3_file is None:\\n logger.error(\\\"Exiting. Could not retrieve a file name from event: %r\\\", event)\\n return\\n\\n inbound_folder = os.path.dirname(s3_file)\\n incoming_file = s3_file\\n logger.info(\\n \\\"From Try Block : s3_bucket_name = %s, incoming_file = %s\\\",\\n s3_bucket_name,\\n incoming_file,\\n )\\n except:\\n # when your approach is to run lambda manually and not through s3 trigger event, this will be helpful.\\n # Currently below hardcoded variables are not defined in function, but while unit testing you can do so if you wish and test.\\n s3_bucket_name = os.environ[\\\"INBOUND_BUCKET_NAME\\\"]\\n inbound_folder = os.environ[\\\"INBOUND_FOLDER\\\"]\\n incoming_file = get_first_file_path(s3_bucket_name, inbound_folder)\\n logger.error(\\n \\\"From Exception Block : s3_bucket_name = %s, incoming_file = %s, inbound_folder = %s\\\",\\n s3_bucket_name,\\n incoming_file,\\n inbound_folder,\\n )\\n\\n if len(incoming_file) == 0 or None: # handle None output (incoming file= '') from event\\n logger.error(\\n \\\"In S3 Bucket : %s, there is a no file to process in the inbound folder : %s , program will EXIT now..\\\",\\n s3_bucket_name,\\n inbound_folder,\\n )\\n return\\n\\n result = make_arguments_from_database(incoming_file, s3_bucket_name)\\n\\n if result is not None:\\n job_args = result[0]\\n # earlier it was an environment variable in lambda but now retrived from database\\n glue_job_name = result[1]\\n logger.info(\\\"Calling Glue Job:: %s, with arguments %r\\\", glue_job_name, job_args)\\n\\n response = \\\"\\\"\\n\\n try:\\n response = glue_job.start_job_run(JobName=glue_job_name, Arguments=job_args)\\n except ParamValidationError:\\n pass\\n\\n if \\\"JobRunId\\\" in response:\\n jobId = response[\\\"JobRunId\\\"]\\n logger.info(\\\"%s job run with id %s\\\", glue_job_name, response[\\\"JobRunId\\\"])\\n _ = glue_job.get_job_run(JobName=glue_job_name, RunId=jobId)\",\n \"def lambda_handler(event, context):\\n qpmBucket = event['queryStringParameters']['bucket']\\n fn_bucket = list_s3_objects(qpmBucket)\\n print(fn_bucket)\\n \\n \\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps(str(fn_bucket)),\\n }\",\n \"def test3():\\n event = {\\n \\\"Records\\\": [\\n {\\n \\\"s3\\\": {\\n \\\"s3SchemaVersion\\\": \\\"1.0\\\",\\n \\\"configurationId\\\": \\\"b0efd5b1-cc92-47b4-8501-1c34f5eba235\\\",\\n \\\"bucket\\\": {\\n \\\"name\\\": \\\"/tmp/\\\"\\n },\\n \\\"object\\\": {\\n \\\"key\\\": \\\"tic000129646247_s0001-1-1_stlc.fits\\\"\\n }\\n }\\n }\\n ]\\n}\\n context = {}\\n \\n out = lambda_handler(event, context)\\n \\n assert out[\\\"statusCode\\\"] == 200\",\n \"def test4():\\n event = {\\n \\\"Records\\\": [\\n {\\n \\\"s3\\\": {\\n \\\"s3SchemaVersion\\\": \\\"1.0\\\",\\n \\\"configurationId\\\": \\\"b0efd5b1-cc92-47b4-8501-1c34f5eba235\\\",\\n \\\"bucket\\\": {\\n \\\"name\\\": \\\"/tmp/\\\"\\n },\\n \\\"object\\\": {\\n \\\"key\\\": \\\"tic000147203645/tic000147203645_s0001-1-1_stlc.fits\\\"\\n }\\n }\\n }\\n ]\\n}\\n context = {}\\n \\n out = lambda_handler(event, context)\\n \\n assert out[\\\"statusCode\\\"] == 200\",\n \"def create_mock_files(self,\\n project_id=\\\"DEV-test\\\",\\n count=3,\\n prefix=\\\"mock_data_file\\\",\\n file_format=\\\"dcm\\\",\\n outdir=\\\".\\\",\\n msg = \\\"This is a mock data file for testing purposes. Delete me!\\\",\\n write_tsv = True\\n ):\\n prog,proj = project_id.split(\\\"-\\\")\\n authz = [\\\"/programs/{}/projects/{}\\\".format(prog,proj)]\\n acl = [prog,proj]\\n\\n mfiles = {'file_name':[],'md5sum':[],\\\"file_size\\\":[],\\\"object_id\\\":[],\\\"storage_urls\\\":[],\\\"acl\\\":[],\\\"authz\\\":[]}\\n for i in range(count):\\n file_name = \\\"{}_{}.{}\\\".format(prefix,i+1,file_format)\\n object_id = str(uuid.uuid4())\\n mfiles['file_name'].append(file_name)\\n mfiles['object_id'].append(object_id)\\n mfiles['authz'].append(authz)\\n mfiles['acl'].append(acl)\\n\\n\\n output = \\\"{}/{}\\\".format(outdir,file_name)\\n os.system(\\\"touch {}\\\".format(output))\\n file_msg =\\\"{} File {} of {}. {} with object_id {}.\\\".format(msg,i+1,count,file_name,object_id)\\n cmd = 'echo \\\"{}\\\" > {}'.format(file_msg,file_name)\\n os.system(cmd)\\n\\n with open(output, 'rb') as file_to_check:\\n file_contents = file_to_check.read()\\n #cmd = \\\"!md5 mock_data_file_{}.{}\\\".format(i+1,file_format))\\n md5 = hashlib.md5(file_contents).hexdigest() #check in shell: !md5 mock_data_file_3.dcm\\n\\n mfiles['md5sum'].append(md5)\\n mfiles['file_size'].append(os.stat(output).st_size)\\n urls=\\\"s3://this-is-a-fake-url-for:{}\\\".format(file_name)\\n mfiles['storage_urls'].append([urls])\\n\\n return mfiles\",\n \"def transform_s3_xsl(**kwargs):\\n access_id = kwargs.get(\\\"access_id\\\")\\n access_secret = kwargs.get(\\\"access_secret\\\")\\n bucket = kwargs.get(\\\"bucket\\\")\\n dest_prefix = kwargs.get(\\\"destination_prefix\\\")\\n source_prefix = kwargs.get(\\\"source_prefix\\\")\\n if kwargs.get(\\\"dag\\\"):\\n run_id = kwargs.get(\\\"dag\\\").dag_id\\n else:\\n run_id = \\\"no-dag-provided\\\"\\n\\n saxon = prepare_saxon_engine()\\n transformed = etree.Element(\\\"collection\\\")\\n transformed.attrib[\\\"dag-id\\\"] = run_id\\n transformed.attrib[\\\"dag-timestamp\\\"] = kwargs.get(\\\"timestamp\\\", \\\"no-timestamp-provided\\\")\\n xsl = \\\"https://raw.github.com/{repo}/{branch}/{filename}\\\".format(\\n repo=kwargs.get(\\\"xsl_repository\\\", \\\"tulibraries/aggregator_mdx\\\"),\\n branch=kwargs.get(\\\"xsl_branch\\\", \\\"main\\\"),\\n filename=kwargs.get(\\\"xsl_filename\\\")\\n )\\n\\n for s3_key in process.list_s3_content(bucket, access_id, access_secret, source_prefix):\\n logging.info(\\\"Transforming File %s\\\", s3_key)\\n s3_content = process.get_s3_content(bucket, s3_key, access_id, access_secret)\\n s3_xml = etree.fromstring(s3_content)\\n for record in s3_xml.iterchildren():\\n record_id = record.get(\\\"airflow-record-id\\\")\\n logging.info(\\\"Transforming Record %s\\\", record_id)\\n result_str = subprocess.check_output([\\\"java\\\", \\\"-jar\\\", saxon, \\\"-xsl:\\\" + xsl, \\\"-s:-\\\"], input=etree.tostring(record, encoding=\\\"utf-8\\\"))\\n result = etree.fromstring(result_str)\\n result.attrib[\\\"airflow-record-id\\\"] = record_id\\n transformed.append(result)\\n filename = s3_key.replace(source_prefix, dest_prefix)\\n transformed_xml = etree.tostring(transformed, encoding=\\\"utf-8\\\")\\n process.generate_s3_object(transformed_xml, bucket, filename, access_id, access_secret)\",\n \"def main():\\n\\n parser = get_args()\\n args = parser.parse_args()\\n\\n if args.verbose:\\n LOG.setLevel(logging.INFO)\\n LOG.info('Verbose: on')\\n else:\\n ## If not verbose, turn down boto3.\\n boto3.set_stream_logger(name='boto3', level=logging.WARNING)\\n boto3.set_stream_logger(name='botocore', level=logging.WARNING)\\n logging.getLogger(\\\"requests\\\").setLevel(logging.WARNING)\\n\\n ## Ensure credentials.\\n if not args.credentials:\\n die_screaming('need a credentials argument')\\n LOG.info('Will use credentials: ' + args.credentials)\\n ## Ensure directory.\\n if not args.directory:\\n die_screaming('need a directory argument')\\n args.directory = args.directory.rstrip('//')\\n LOG.info('Will operate in: ' + args.directory)\\n ## Ensure bucket.\\n if not args.bucket:\\n die_screaming('need a bucket argument')\\n bucket, slash, toppath = args.bucket.partition('/')\\n if toppath != '':\\n LOG.info('Will put to bucket: ' + bucket + '; with path: ' + toppath)\\n else:\\n LOG.info('Will put to bucket at top level: ' + bucket)\\n ## Ensure mimetype metadata.\\n if not args.mimetypes:\\n LOG.info('Will use internal mimetype defaults')\\n else:\\n LOG.info('TODO: Will get mimetype metadata from: ' + args.metadata)\\n ## Ensure bucket location.\\n if not args.location:\\n args.location = 'us-east-1'\\n LOG.info('Will use S3 bucket location default: ' + args.location)\\n else:\\n LOG.info('Will use S3 bucket location: ' + args.location)\\n\\n ## Extract S3 credentials.\\n creds = None\\n with open(args.credentials) as chandle:\\n creds = json.loads(chandle.read())\\n #LOG.info(creds)\\n\\n s3 = boto3.resource('s3', region_name=args.location,\\n aws_access_key_id=creds['accessKeyId'],\\n aws_secret_access_key=creds['secretAccessKey'])\\n\\n # s3 = boto3.resource(\\\"s3\\\", creds['accessKeyId'], creds['secretAccessKey'])\\n\\n #s3.Object('mybucket', 'hello.txt').put(Body=open('/tmp/hello.txt', 'rb'))\\n\\n ## Walk tree.\\n for curr_dir, dirs, files in os.walk(args.directory):\\n\\n ## We can navigate up if we are not in the root.\\n relative_to_start = curr_dir.rstrip('//')[len(args.directory):]\\n relative_to_start = relative_to_start.lstrip('//')\\n LOG.info('curr_dir: ' + curr_dir + ' (' + relative_to_start + ')')\\n\\n ## Note files and directories.\\n for fname in files:\\n\\n ## Get correct mime type.\\n fext = os.path.splitext(fname)[1].lstrip('.')\\n mime = MIMES.get('') # start with default\\n if MIMES.get(fext, False):\\n mime = MIMES.get(fext)\\n\\n ## Figure out S3 path/key and final filename, keeping in\\n ## mind that relative_to_Start can be empty if root.\\n s3path = fname\\n if relative_to_start:\\n s3path = relative_to_start + '/' + fname\\n filename = os.path.join(curr_dir, fname)\\n\\n tags = {}\\n if args.number:\\n tags['build-number'] = args.number\\n if args.pipeline:\\n tags['build-pipeline'] = args.pipeline\\n tags_str = urllib.parse.urlencode(tags)\\n\\n ## Visual check.\\n LOG.info('file: ' + filename)\\n if toppath != '':\\n s3path = toppath + '/' + s3path\\n LOG.info(' -> [' + bucket + '] ' + s3path + \\\\\\n '(' + mime + ', ' + tags_str + ')')\\n\\n ## Create the new object that we want.\\n s3bucket = s3.Bucket(bucket)\\n multipart_upload(filename, s3bucket, s3path, content_type=mime, metadata=tags, policy=\\\"public-read\\\")\\n\\n # newobj = s3.Object(args.bucket, s3path)\\n # outfile = open(filename, 'rb')\\n # newobj.put(Body=outfile, \\\\\\n # ContentType=mime, \\\\\\n # Metadata=tags,\\n # ACL='public-read') #Tagging=tags_str)\\n\\n # outbod = open(os.path.join(curr_dir, fname), 'rb')\\n # .put(Body=outbod, 'rb')\\n\\n # for dname in dirs:\\n # #LOG.info('dir: ' + os.path.join(curr_dir, dname))\\n # pass\",\n \"def lambda_handler(event, context):\\r\\n print(\\\"Function triggered\\\")\\r\\n if 'local' == environ.get('APP_STAGE'):\\r\\n dynamodb = boto3.resource('dynamodb', endpoint_url='http://localhost:8000')\\r\\n table = dynamodb.Table(\\\"audiobooksDB\\\")\\r\\n else:\\r\\n dynamodb = boto3.resource('dynamodb')\\r\\n table = dynamodb.Table(environ[\\\"TABLE_NAME\\\"])\\r\\n s3 = boto3.client('s3')\\r\\n \\r\\n s3FileName = event['Records'][0]['s3']['object']['key'].replace(\\\"+\\\", \\\" \\\")\\r\\n bucketName = event['Records'][0]['s3']['bucket']['name']\\r\\n # Download file from the S3 bucket\\r\\n try:\\r\\n book = s3.get_object(Bucket=bucketName, Key=s3FileName)\\r\\n print(\\\"Loading file from S3 bucket\\\")\\r\\n bookContent = book[\\\"Body\\\"].read().decode(\\\"utf-8\\\", errors=\\\"ignore\\\").split(\\\"------ END METADATA --------\\\")\\r\\n metadata = json.loads(bookContent[0])\\r\\n bookContent = bookContent[1]\\r\\n # Polly accepts 100,000 chars at a time. We make chunks of 99990 because we put the part 1 maker in\\r\\n bookContent = [bookContent[i:i+99990] for i in range(0, len(bookContent), 99990)]\\r\\n except Exception as e:\\r\\n print(\\\"Error while downloading file \\\" + s3FileName + \\\"from the S3 bucket \\\" + bucketName)\\r\\n raise\\r\\n # Add part marker to book\\r\\n if len(bookContent) > 1:\\r\\n count = 0\\r\\n for chunk in bookContent:\\r\\n chunk += \\\"Part \\\" + str(count)\\r\\n hasShortPart = False\\r\\n audioURLs = []\\r\\n pollyClient = boto3.client('polly')\\r\\n for chunk in bookContent:\\r\\n try:\\r\\n chunk = convert_text_to_ssml(chunk)\\r\\n print(\\\"Asking Polly to record the current chunk\\\")\\r\\n response = pollyClient.start_speech_synthesis_task(\\r\\n Engine='standard',\\r\\n LanguageCode='en-GB',\\r\\n OutputFormat='mp3',\\r\\n OutputS3BucketName=environ['AUDIO_S3_BUCKET'],\\r\\n Text=chunk,\\r\\n TextType='ssml',\\r\\n VoiceId='Brian',\\r\\n SnsTopicArn=environ[\\\"SNS_TOPIC\\\"],\\r\\n )\\r\\n\\r\\n audioURLs.append(response[\\\"SynthesisTask\\\"][\\\"OutputUri\\\"].split(\\\"amazonaws.com/\\\")[-1])\\r\\n if len(chunk) <= 2000:\\r\\n hasShortPart = True\\r\\n print(response)\\r\\n print(\\\"Polly was successfully asked to to record the current chunk\\\")\\r\\n except Exception as e:\\r\\n print(\\\"Error parsing chunk or requesting Polly to say it\\\")\\r\\n raise\\r\\n try:\\r\\n randomString = ''.join([random.choice(string.ascii_letters \\r\\n + string.digits) for n in range(32)]) \\r\\n audiobook = {\\r\\n \\\"id\\\": randomString,\\r\\n \\\"bookName\\\": metadata[\\\"bookName\\\"],\\r\\n \\\"imageURL\\\": metadata[\\\"imageURL\\\"],\\r\\n \\\"authorName\\\":metadata[\\\"authorName\\\"],\\r\\n \\\"genres\\\": metadata[\\\"genres\\\"],\\r\\n \\\"audioURLs\\\": audioURLs,\\r\\n \\\"description\\\": metadata[\\\"description\\\"],\\r\\n \\\"hidden\\\": False,\\r\\n \\\"hasShortPart\\\": hasShortPart,\\r\\n \\\"addedAt\\\": Decimal(datetime.now().timestamp())\\r\\n }\\r\\n response = table.put_item(\\r\\n Item=audiobook\\r\\n )\\r\\n except Exception as e:\\r\\n print(\\\"Exception inserting into database\\\")\\r\\n print(audiobook)\\r\\n print(response)\\r\\n raise\\r\\n return {\\r\\n \\\"statusCode\\\": 200,\\r\\n \\\"body\\\": json.dumps({\\r\\n \\\"message\\\": audioURLs\\r\\n }),\\r\\n }\",\n \"def main(access_key: str, secret_key: str) -> None:\\n # Check for duplicate seals files\\n validate_json()\\n\\n # Check for files we need to upload\\n seals_to_upload = find_new_seals(access_key, secret_key)\\n\\n # Generate new file sizes and upload them to the server\\n for seal in list(seals_to_upload):\\n print(f\\\"Seal: {seal}\\\")\\n fn = seal.split(\\\"/\\\")[-1]\\n for size in sizes:\\n orig = f\\\"{ROOT_DIR}/seals/orig/{fn}\\\"\\n fp = f\\\"{ROOT_DIR}/seals/{size}/{fn}\\\"\\n aws_path = f\\\"v2/{size}/{fn}\\\"\\n\\n if size == \\\"orig\\\":\\n print(f\\\"Uploading to: https://seals.free.law/{aws_path}\\\")\\n upload(orig, aws_path, access_key, secret_key)\\n else:\\n resize_image(orig, size)\\n aws_path = aws_path.replace(\\\".svg\\\", \\\".png\\\")\\n fp = fp.replace(\\\".svg\\\", \\\".png\\\")\\n print(f\\\"Uploading to: https://seals.free.law/{aws_path}\\\")\\n upload(fp, aws_path, access_key, secret_key)\",\n \"def _add_manifest_files(zip_file, dir_name, payload_info_list, tag_info_list):\\n for checksum_algorithm in _get_checksum_algorithm_set(payload_info_list):\\n _add_tag_file(\\n zip_file,\\n dir_name,\\n tag_info_list,\\n _gen_manifest_file_tup(payload_info_list, checksum_algorithm),\\n )\",\n \"def make_arguments_from_database(\\n s3_inbound_file: str, s3_bucket_name: str\\n) -> (Dict[str, str], str):\\n # 'secret_name' is the only existing environment variable for lambda function\\n secret_name = os.environ[\\\"SECRET_NAME\\\"]\\n\\n incoming_file_name = s3_inbound_file.split(\\\"/\\\")[-1]\\n logger.info(f\\\"incoming_file: %s\\\", incoming_file_name)\\n # gets full string before 3rd '_' character in incoming file and checks if any name_pattern exists in db\\n incoming_file_name_pattern = get_file_name_pattern(incoming_file_name)\\n logger.info(f\\\"incoming_file_name_pattern: %s\\\", incoming_file_name_pattern)\\n\\n client_file: ClientFile = ClientFileRepo(secret_name=secret_name).get_client_file_from_name_pattern(incoming_file_name_pattern)\\n logger.info(f\\\"client_file : %s\\\", client_file)\\n\\n if client_file is not None:\\n logger.info(\\n \\\"incoming file name '%s' matches with file name pattern '%s' in client files table \\\",\\n incoming_file_name,\\n client_file.name_pattern,\\n )\\n\\n job_args = {\\n # preparing arguments for glue job 'irxah_process_incoming_<client_name>_file'\\n \\\"--SECRET_NAME\\\": os.environ[\\\"SECRET_NAME\\\"], # for connecting db (retrieved as lambda environment variable)\\n \\\"--S3_FILE\\\": s3_inbound_file, # file_name with path (retrieved from s3 trigger event)\\n \\\"--S3_FILE_BUCKET\\\": s3_bucket_name, # s3_bucket_name (retrieved from s3 trigger event)\\n \\\"--CLIENT_FILE_ID\\\": str(client_file.client_file_id), # unique id of client file (retrieved from db)\\n # we are passing a dummy job key as generation of standard file (GILA) from custom file (BCBAZ) will not have a unique unzip key.\\n # by this, we are avoiding 'irxah_process_incoming_file' glue job failure\\n \\\"--UNZIP_JOB_DETAIL_KEY\\\": \\\"0\\\",\\n }\\n\\n glue_job_name = client_file.glue_job_name\\n\\n return job_args, glue_job_name\\n\\n logger.info(\\n \\\"Incoming file '%s' name doesn't match with any of the expected file name pattern in db. \\\"\\n \\\"Hence, it will not be processed further. It remains as is in 'inbound/txtfiles' folder.\\\",\\n incoming_file_name,\\n )\\n return None\",\n \"def setup_test_wf(s3_prefix, paths_list, test_name, workdirs_to_keep=None):\\n\\n import os\\n import shutil\\n from CPAC.pipeline import nipype_pipeline_engine as pe\\n from CPAC.utils.datasource import check_for_s3\\n from CPAC.utils.interfaces.datasink import DataSink\\n\\n test_dir = os.path.join(os.getcwd(), test_name)\\n work_dir = os.path.join(test_dir, \\\"workdir\\\")\\n out_dir = os.path.join(test_dir, \\\"output\\\")\\n\\n if os.path.exists(out_dir):\\n try:\\n shutil.rmtree(out_dir)\\n except:\\n pass\\n\\n if os.path.exists(work_dir):\\n for dirname in os.listdir(work_dir):\\n if workdirs_to_keep:\\n for keepdir in workdirs_to_keep:\\n print(\\\"{0} --- {1}\\\\n\\\".format(dirname, keepdir))\\n if keepdir in dirname:\\n continue\\n try:\\n shutil.rmtree(os.path.join(work_dir, dirname))\\n except:\\n pass\\n\\n local_paths = {}\\n for subpath in paths_list:\\n s3_path = os.path.join(s3_prefix, subpath)\\n local_path = check_for_s3(s3_path, dl_dir=test_dir)\\n local_paths[subpath] = local_path\\n\\n wf = pe.Workflow(name=test_name)\\n wf.base_dir = os.path.join(work_dir)\\n wf.config['execution'] = {\\n 'hash_method': 'timestamp',\\n 'crashdump_dir': os.path.abspath(test_dir)\\n }\\n\\n ds = pe.Node(DataSink(), name='sinker_{0}'.format(test_name))\\n ds.inputs.base_directory = out_dir\\n ds.inputs.parameterization = True\\n\\n return (wf, ds, local_paths)\",\n \"def _add_payload_files(zip_file, payload_info_list):\\n payload_byte_count = 0\\n payload_file_count = 0\\n for payload_info_dict in payload_info_list:\\n zip_file.write_iter(payload_info_dict[\\\"path\\\"], payload_info_dict[\\\"iter\\\"])\\n payload_byte_count += payload_info_dict[\\\"iter\\\"].size\\n payload_file_count += 1\\n return payload_byte_count, payload_file_count\",\n \"def lambda_handler(event, context):\\n\\n markdown_files = sys.argv[1:]\\n logging.info(f'Markdown files to clean = {markdown_files}')\\n for file_to_clean in markdown_files:\\n clean_file(file_to_clean)\\n print(json.dumps(event))\\n body = event['body']\\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps({\\n \\\"message\\\": \\\"hello world from aws.\\\",\\n \\\"commit\\\": body\\n # \\\"location\\\": ip.text.replace(\\\"\\\\n\\\", \\\"\\\")\\n }),\\n }\",\n \"def lambda_handler(event, context):\\n print(event)\\n \\n #Input variables\\n aminP = 0.7\\n amaxP = 12.0\\n durs = [0.75, 1.25, 3, 5, 7]\\n min_snr = 3.9\\n max_tce = 4\\n frac_remain = 0.8\\n det_window = 42\\n noise_window = 12\\n n_sigma = 3.9\\n search_bucket = \\\"tesssearchresults\\\"\\n #---------\\n \\n cloud = True\\n #Local Storage\\n local_filename = \\\"/tmp/mylightcurve.fits\\\"\\n local_detrend_fn = \\\"/tmp/detrended.fits\\\"\\n out_file = \\\"/tmp/output.csv\\\"\\n \\n b_filename = event['Records'][0]['s3']['object']['key']\\n bucket = event['Records'][0]['s3']['bucket']['name'] \\n \\n #If not in the cloud bucket begins with /, do the following to set up for a test.\\n if bucket[0] == \\\"/\\\":\\n print(\\\"Not Using cloud.\\\")\\n cloud = False #For testing\\n local_filename = bucket + b_filename\\n local_dir = \\\"/Users/smullally/TESS/lambdaSearch/test/tesssearchresults/\\\"\\n local_detrend_fn = local_dir + \\\"detrended.fits\\\"\\n out_file = local_dir + \\\"outfile.fits\\\"\\n \\n meta = dict()\\n \\n #Get the information from the light curve file.\\n if cloud:\\n time, flux, qflags, phead = io.read_lightcurve_lambda(bucket, \\\\\\n b_filename, local_filename)\\n else:\\n time, flux, qflags, phead = io.read_lightcurve_lambda_local(bucket, \\\\\\n b_filename, local_filename)\\n \\n #print(time,flux,qflags)\\n ticid, camera, sector, ccd = io.read_header(phead)\\n\\n namestr = \\\"tic%012u/tic%012u_s%04u-%1u-%1u\\\" % \\\\\\n (int(ticid), int(ticid), int(sector),int(camera), int(ccd))\\n \\n #Detrend\\n good_time, meddet_flux = ps.clean_timeseries(time, flux, qflags, det_window, \\\\\\n noise_window, n_sigma, sector)\\n \\n #import matplotlib.pyplot as plt\\n #plt.figure()\\n #plt.plot(good_time,meddet_flux,'.')\\n \\n #Take BLS\\n results, stats = ps.identifyTces(good_time, meddet_flux, bls_durs_hrs=durs,\\\\\\n minSnr=min_snr, \\\\\\n fracRemain=frac_remain,\\\\\\n maxTces=max_tce, minP=aminP, maxP=amaxP)\\n #print(results)\\n \\n #Now write out results.\\n \\n bucket_out_name = namestr + \\\"_plsearch\\\" + '.csv'\\n bucket_detrend_name = namestr + \\\"_detrend\\\" + '.fits'\\n \\n \\n io.write_results(out_file, int(ticid), results, stats, **meta)\\n io.write_timeseries(local_detrend_fn, good_time, meddet_flux, phead)\\n \\n if cloud: \\n #Write to the S3 bucket.\\n s3_client = boto3.client('s3')\\n resp = s3_client.upload_file(out_file, search_bucket, bucket_out_name)\\n resp = s3_client.upload_file(local_detrend_fn, search_bucket, bucket_detrend_name)\\n else:\\n resp = \\\"not cloud\\\"\\n if not os.path.exists(local_dir + \\\"tic%012u\\\" % (int(ticid))):\\n os.mkdir(local_dir + \\\"tic%012u\\\" % (int(ticid)))\\n \\n try:\\n os.remove(local_dir + bucket_out_name)\\n except:\\n pass\\n \\n os.rename(out_file, local_dir + bucket_out_name)\\n try:\\n os.remove(local_dir + bucket_detrend_name)\\n except:\\n pass\\n os.rename(local_detrend_fn, local_dir + bucket_detrend_name)\\n \\n \\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps({\\n \\\"outname\\\": bucket_detrend_name,\\n \\\"response\\\": str(resp),\\n \\\"period\\\": str(results[0][0]),\\n \\\"epoch\\\": str(results[0][1])\\n })\\n }\",\n \"def lambda_handler(event, context):\\n # EOL char append function\\n encode_data = lambda x: \\\"{data}{eol}\\\".format(data=json.dumps(x), eol=chr(10)).encode(\\\"UTF-8\\\")\\n \\n # Punk API call\\n try:\\n logger.debug(\\\"Requesting api: {api}\\\".format(api=os.environ[\\\"API_URL\\\"]))\\n request = r.get(os.environ[\\\"API_URL\\\"])\\n except Exception as e:\\n logger.error(\\\"An error occured while requesting api: {api}\\\".format(api=os.environ[\\\"API_URL\\\"]))\\n raise e\\n \\n # Send records to kinesis stream\\n logger.debug(\\\"Sending data to stream: {stream}\\\".format(stream=os.environ[\\\"STREAM_NAME\\\"]))\\n for data in request.json():\\n client.put_record(\\n StreamName=os.environ[\\\"STREAM_NAME\\\"],\\n Data=encode_data(data),\\n PartitionKey=\\\"key\\\"\\n )\\n\\n return {\\n 'statusCode': request.status_code,\\n 'body': data\\n }\",\n \"def handle_event(event, context):\\n\\n try:\\n print(\\\"Received event: \\\" + json.dumps(event, indent=2))\\n\\n # grab resources section of event, get task execution ids\\n task_execution_arns = event['resources']\\n\\n # now fetch the input filter info from each task_detail, fire off jobs\\n new_files_to_process = []\\n for task_execution_arn in task_execution_arns:\\n # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/datasync.html#DataSync.Client.describe_task_execution\\n response = datasync_client.describe_task_execution(TaskExecutionArn=task_execution_arn)\\n print(\\\"Task execution details: \\\" + str(response))\\n # this will be the location of the data in configured s3 bucket:\\n # 'Includes': [\\n # {\\n # 'FilterType': 'SIMPLE_PATTERN',\\n # 'Value': 'string'\\n # },\\n # ]\\n if len(response['Includes']) > 0:\\n file = response['Includes'][0]['Value']\\n # files typically start with leading '/', strip that leading '/'\\n print(\\\"Got filename:\\\" + file)\\n if file.startswith('/', 0):\\n new_files_to_process.append(file.lstrip('/'))\\n else:\\n new_files_to_process.append(file)\\n else:\\n print(\\\"Response didn't contain Includes files...\\\")\\n\\n if len(new_files_to_process) == 0:\\n print('No files were parsed from input...exiting')\\n return\\n\\n for new_file_to_process in new_files_to_process:\\n state_machine_arn = os.environ['STATE_MACHINE_ARN']\\n payload = {\\\"ObjectName\\\": new_file_to_process}\\n json_payload = json.dumps(payload)\\n print('Starting bcl2fastq with payload %s' % json_payload)\\n #\\n response = step_client.start_execution(stateMachineArn=state_machine_arn, input=json_payload)\\n print(response)\\n\\n except Exception as e:\\n print(e)\\n print('Error handling event. %s' % e)\\n raise e\",\n \"def _generate_manifest(self, input_data_path_list):\\n # Given a list of S3 buckets, generate a manifest file\\n # [\\n # {\\\"prefix\\\": \\\"s3://customer_bucket/some/prefix/\\\"},\\n # \\\"relative/path/to/data-1\\\",\\n # \\\"relative/path/data-2\\\",\\n # ...\\n # ]\\n manifest = []\\n shared_prefix, key_path_list = self._get_prefix_and_relative_path(input_data_path_list)\\n logger.info(f\\\"Generating manifest file with shared prefix '{shared_prefix}/' ...\\\")\\n manifest.append({\\\"prefix\\\": shared_prefix + \\\"/\\\"})\\n for relative_key_path in key_path_list:\\n manifest.append(relative_key_path)\\n\\n manifest_file_path = self._write_manifest_to_s3(manifest_file=manifest)\\n return manifest_file_path\",\n \"def lambda_handler(event=None, context=None):\\n logger.info('Lambda function invoked index()')\\n\\n # Get configuration from environment\\n file_name_default = os.environ.get('FILE_NAME') or \\\"bamboo_employees\\\"\\n api_key = os.environ.get('BAMBOO_TOKEN')\\n url = os.environ.get('BAMBOO_API')\\n\\n # Parameters, take a file name if exists and remove it from the dict\\n file_name = request.args.get('file_name') or file_name_default\\n\\n try:\\n # Request data from Bamboo API\\n headers = {'Accept': 'application/json'}\\n auth = HTTPBasicAuth(api_key, 'x')\\n response = requests.get(url=url, headers=headers, auth=auth)\\n\\n if response.status_code != requests.codes.ok:\\n raise Exception('Error making the request to Bamboo\\\\r\\\\n')\\n\\n # Check the result\\n result = json.loads(response.text)\\n if 'employees' in result:\\n # Generate the GeoJSON from API response\\n employees = []\\n for employee in result['employees']:\\n # Bamboo does not provide explicit locations\\n point = Point(None, None)\\n employees.append(Feature(geometry=point, properties=employee))\\n\\n # Produce a GeoJSON Feature collection\\n body = json.dumps(FeatureCollection(employees))\\n attachment = 'attachment; filename={0}.json'.format(file_name)\\n\\n # Create a response with the proper headers\\n # CARTO will use the file name property as the table name\\n response = make_response(body)\\n response.headers['Content-Type'] = 'application/json'\\n response.headers['Content-Disposition'] = attachment\\n else:\\n raise Exception('No photos on your request')\\n\\n return response\\n\\n except Exception as e:\\n response = make_response(e.message + \\\"\\\\r\\\\n\\\")\\n response.headers['Content-Type'] = 'text/plain'\\n response.status_code = 500\\n return response\",\n \"def __init__(self, bucket, feed=None, lambda_to_trigger=None,\\n socrata_lambda_to_trigger=None,\\n **kwargs):\\n super(WorkZoneRawSandbox, self).__init__(bucket, **kwargs)\\n self.prefix_template = 'state={state}/feedName={feedname}/year={year}/month={month}/'\\n self.feed = feed\\n self.lambda_to_trigger = lambda_to_trigger\\n self.socrata_lambda_to_trigger = socrata_lambda_to_trigger\\n self.url_dict = {}\\n self.read_urls()\\n # variables necessary to update last ingest time to Socrata WZDx feed registry\\n # this is currently done in the previous lambda function \\\"wzdx_trigger_ingest\\\".\\n # leaving the block below in case we move the step to this function\",\n \"def __init__(self, recipes, decode_param_from=None, custom_handlers=None):\\n\\n if not recipes or not isinstance(recipes, list):\\n logger.error('Unsupported _functions type! Something went wrong!')\\n\\n # Get required functions\\n self.functions = [] # {func: func_obj, func_params: (params), fields=[]}\\n\\n for _func in recipes:\\n # Check the syntax of provided function\\n\\n # Case: handler_name\\n if match(r'(^[a-zA-Z0-9_-]{3,20}$)', _func, IGNORECASE):\\n pass\\n\\n # Case: handler_name<param>XyZ<field>AbC\\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512}<field>.{1,512})$', _func, IGNORECASE):\\n pass\\n\\n # Case: handler_name<param>XyZ<field>AbC<rfield>YzX\\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512}<field>.{1,512}<rfield>.{1,512})$', _func, IGNORECASE):\\n pass\\n\\n # Case: handler_name<param>XyZ\\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512})$', _func, IGNORECASE):\\n pass\\n\\n # Case: handler_name<field>AbC\\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<field>.{1,512})$', _func, IGNORECASE):\\n pass\\n\\n # Case: handler_name<param>AbC<rfield>XXX\\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<param>.{1,512}<rfield>.{1,512})$', _func, IGNORECASE):\\n pass\\n\\n # Case: handler_name<field>AbC<rfield>XXX\\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<field>.{1,512}<rfield>.{1,512})$', _func, IGNORECASE):\\n pass\\n\\n # Case: handler_name<rfield>ABCD\\n elif match(r'(^[a-zA-Z0-9_-]{3,20}<rfield>.{1,512})$', _func, IGNORECASE):\\n pass\\n\\n # Case: Syntax error\\n else:\\n logger.error('Syntax Error. Function: %s' % _func)\\n logger.error(\\n 'The example syntax of registry handler function shuld be: \\\\n\\\"-rh function_name<param>param1<param>param2<field>field_name_to_process<rfield>output_field_name\\\" (<param>,<field> and <rfield> are optional and depends on given function)\\\\nUse -prh for more details')\\n exit(ERR_PROVIDER_INCORRECT_FUNCTION_SYNTAX)\\n\\n\\n _func_name = ''\\n _func_params = None\\n _func_fields = None\\n _func_output_fields = None\\n\\n # Get function, parameter(s) and fields (if specified)\\n # Get _func_name\\n _func_name, separator, _ = _func.partition('<')\\n _func_name = _func_name.lower()\\n\\n if '<rfield>' in _func:\\n _func, _, _func_output_fields = _func.partition('<rfield>')\\n _func_output_fields = _func_output_fields.split(';')\\n map(str.strip, _func_output_fields)\\n\\n if '<field>' in _func:\\n _func, _, _func_fields = _func.partition('<field>')\\n _func_fields = _func_fields.split(';')\\n map(str.strip, _func_fields)\\n\\n if '<param>' in _func:\\n _func, _, _func_params = _func.partition('<param>')\\n _func_params = _func_params.split(';')\\n map(str.strip, _func_params)\\n\\n if decode_param_from:\\n if decode_param_from.lower() == 'base64':\\n _func_params = list(map(base64.b64decode, _func_params))\\n _func_params = list(map(bytes.decode, _func_params))\\n else:\\n logger.error('Unable to create a registry handler: \\\"%s\\\"\\\\n'\\n 'Function: \\\"%s\\\"\\\\n'\\n 'Unsupported param encoding: \\\"%s\\\"' %\\n (_func_name, _func, decode_param_from))\\n return None\\n\\n _func_params = tuple(_func_params)\\n\\n try:\\n if not custom_handlers:\\n func_class = getattr(handlers, _func_name)\\n else:\\n try:\\n func_class = getattr(handlers, _func_name)\\n except AttributeError:\\n func_class = getattr(custom_handlers, _func_name)\\n\\n func_obj = getattr(func_class, _func_name)\\n\\n # if _func_output_fields is None:\\n # _func_output_fields = _func_fields\\n # pass\\n\\n self.functions.append({'func': func_obj, 'func_params': _func_params, 'func_fields': _func_fields,\\n 'result_fields': _func_output_fields})\\n\\n except Exception as msg:\\n logger.warning('Unable to get function object for: %s. Error: %s' % (_func_name, msg))\\n logger.error('Unsupported Registry Handler: \\\"%s\\\"' % _func_name)\\n\\n self.default_fields = [registry_provider.registry_value.attributes.value_content]\",\n \"def _s3_stash(self):\\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\\n bucketpath = BUCKET.strip(\\\"/\\\")\\n bucketbase = BUCKET.split(\\\"/\\\")[0]\\n parts = urlparse.urlsplit(s3_url)\\n mimetype = 'application/xml' \\n \\n conn = boto.connect_s3()\\n\\n try:\\n bucket = conn.get_bucket(bucketbase)\\n except boto.exception.S3ResponseError:\\n bucket = conn.create_bucket(bucketbase)\\n self.logger.info(\\\"Created S3 bucket {}\\\".format(bucketbase))\\n\\n if not(bucket.get_key(parts.path)):\\n key = bucket.new_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"created {0}\\\".format(s3_url)\\n self.logger.info(msg)\\n else:\\n key = bucket.get_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"re-uploaded {}\\\".format(s3_url)\\n self.logger.info(msg)\",\n \"def project_uploader():\\n if not current_app.config['S3_KEY']:\\n return ''\\n if len(request.files) == 0:\\n return 'No files selected'\\n img = request.files['file']\\n if not img or img.filename == '':\\n return 'No filename'\\n ext = img.filename.split('.')[-1].lower()\\n if ext not in ACCEPTED_TYPES:\\n return 'Invalid format (allowed: %s)' % ','.join(ACCEPTED_TYPES)\\n # generate a simpler filename\\n keepcharacters = ('.', '_')\\n safe_filename = img.filename.replace(' ', '_')\\n safe_filename = \\\"\\\".join(\\n c for c in safe_filename\\n if c.isalnum() or c in keepcharacters).rstrip()\\n if not safe_filename:\\n safe_filename = \\\"\\\".join(random_password(8), '.', ext)\\n # use random subfolder inside user id folder\\n filename = '/'.join([\\n str(current_user.id),\\n random_password(24),\\n safe_filename\\n ])\\n # with tempfile.TemporaryDirectory() as tmpdir:\\n # img.save(path.join(tmpdir, filename))\\n if 'S3_FOLDER' in current_app.config:\\n s3_filepath = '/'.join([current_app.config['S3_FOLDER'], filename])\\n else:\\n s3_filepath = filename\\n # print('Uploading to %s' % s3_filepath)\\n if 'S3_ENDPOINT' in current_app.config:\\n s3_obj = boto3.client(\\n service_name='s3',\\n endpoint_url=current_app.config['S3_ENDPOINT'],\\n aws_access_key_id=current_app.config['S3_KEY'],\\n aws_secret_access_key=current_app.config['S3_SECRET'],\\n )\\n #print('Uploading to endpoint %s' % current_app.config['S3_ENDPOINT'])\\n else:\\n s3_obj = boto3.client(\\n service_name='s3',\\n region_name=current_app.config['S3_REGION'],\\n aws_access_key_id=current_app.config['S3_KEY'],\\n aws_secret_access_key=current_app.config['S3_SECRET'],\\n )\\n #print('Uploading to region %s' % current_app.config['S3_REGION'])\\n # Commence upload\\n s3_obj.upload_fileobj(img,\\n current_app.config['S3_BUCKET'],\\n s3_filepath,\\n ExtraArgs={'ContentType': img.content_type,\\n 'ACL': 'public-read'}\\n )\\n return escape('/'.join([current_app.config['S3_HTTPS'], s3_filepath]))\",\n \"def upload_to_s3(site, bucket, directory=None, files=None, prefix=None):\\n if bucket is None:\\n print red('Error: Bucket must be specified.')\\n return\\n if directory is None and files is None:\\n print red('Error: Directory and/or files must be specified.')\\n return\\n # Setup boto\\n import boto\\n from boto.s3.bucket import Bucket\\n from boto.s3.key import Key\\n import mimetypes\\n import fnmatch\\n\\n setup_aws_access_key(site)\\n\\n # Connect to S3\\n c = boto.connect_s3()\\n b = Bucket(c, bucket)\\n\\n # Fix the prefix\\n # prefix itself shouldn't have a / prefix itself but should end with /\\n if prefix:\\n prefix = prefix.lstrip('/')\\n if prefix and not prefix.endswith('/'):\\n prefix = prefix + '/'\\n\\n def __upload(key, filename):\\n k = Key(b)\\n k.key = key\\n headers = {}\\n content_type = mimetypes.guess_type(filename)[0]\\n if site.has_key('webapp') and site['webapp'].get('cache_control'):\\n for pattern in site['webapp']['cache_control']:\\n if fnmatch.fnmatch(filename, pattern):\\n headers['Cache-Control'] = site['webapp']['cache_control'][pattern]\\n break\\n if site.has_key('webapp') and site['webapp'].get('gzip_types') and content_type in site['webapp']['gzip_types']:\\n from gzip import GzipFile\\n from StringIO import StringIO\\n # Need to specify content_type when uploading from a string!\\n headers['Content-Type'] = content_type\\n headers['Content-Encoding'] = 'gzip'\\n s = StringIO()\\n g = GzipFile(fileobj=s, mode='wb')\\n with open(filename, 'rb') as f:\\n g.write(f.read())\\n g.close()\\n k.set_contents_from_string(s.getvalue(), headers)\\n else:\\n k.set_contents_from_filename(filename, headers)\\n\\n if files:\\n # Upload individual files\\n if directory:\\n keys = [filename.lstrip('/') for filename in files]\\n files = [os.path.join(directory, filename) for filename in files]\\n else:\\n keys = [os.path.split(filename)[1] for filename in files]\\n for i, filename in enumerate(files):\\n print 'Uploading %s' % keys[i]\\n if prefix:\\n key = prefix + keys[i]\\n else:\\n key = keys[i]\\n __upload(key, filename)\\n elif directory:\\n # Upload an entire directory\\n def __upload_dir(arg, dirname, names):\\n # arg is the starting directory\\n for name in names:\\n filename = os.path.join(dirname, name)\\n if not os.path.isdir(filename) and not os.path.islink(filename) and not name.startswith('.'):\\n key = filename[len(arg):]\\n if key.startswith('/'):\\n key = key[1:]\\n if prefix:\\n key = prefix + key\\n print 'Uploading %s' % key\\n __upload(key, filename)\\n os.path.walk(directory, __upload_dir, directory)\",\n \"def _prepare_lambda_params(self, entrypoint_name):\\n\\n packer_call = getattr(self.packer, f'pack_{entrypoint_name}')\\n packed_bytes = packer_call(\\n self.default_params[entrypoint_name]).interpret().storage.hex()\\n\\n execute_params = {\\n 'lambda': self.lambdas[f'hic_{entrypoint_name}'],\\n 'packedParams': packed_bytes\\n }\\n\\n return execute_params\",\n \"async def export_cw_logs_to_s3(global_vars, log_group_name, retention_days, bucket_name, obj_prefix = None):\\n resp_data = {'status': False, 'task_info':{}, 'error_message': ''}\\n if not retention_days: retention_days = 90\\n if not obj_prefix: obj_prefix = log_group_name.split('/')[-1]\\n now_time = datetime.datetime.now()\\n # To effectively archive logs\\n # Setting for 24 Hour time frame (From:91th day); Captures the 24 hour logs on the 90th day\\n n1_day = now_time - datetime.timedelta(days = int(retention_days) + 1)\\n # Setting for 24 Hour time frame (Upto:90th day)\\n n_day = now_time - datetime.timedelta(days = int(retention_days))\\n f_time = int(n1_day.timestamp() * 1000)\\n t_time = int(n_day.timestamp() * 1000)\\n # To specifially deal with loggroup names without '/'\\n if '/' in log_group_name:\\n d_prefix = str( log_group_name.replace(\\\"/\\\",\\\"-\\\")[1:] ) + \\\"/\\\" + str( gen_ymd(n1_day, '/') )\\n else:\\n d_prefix = str( log_group_name.replace(\\\"/\\\",\\\"-\\\") ) + \\\"/\\\" + str( gen_ymd(n1_day, '/') )\\n # d_prefix = str( log_group_name.replace(\\\"/\\\",\\\"-\\\")[1:] )\\n # Check if S3 Bucket Exists\\n resp = does_bucket_exists(bucket_name)\\n if not resp.get('status'):\\n resp_data['error_message'] = resp.get('error_message')\\n return resp_data\\n try:\\n client = boto3.client('logs')\\n r = client.create_export_task(\\n taskName = gen_uuid(),\\n logGroupName = log_group_name,\\n fromTime = f_time,\\n to = t_time,\\n destination = bucket_name,\\n destinationPrefix = d_prefix\\n )\\n # Get the status of each of those asynchronous export tasks\\n r = get_tsk_status(r.get('taskId'), global_vars.get('time_out'), global_vars.get('tsk_back_off'))\\n if resp.get('status'):\\n resp_data['task_info'] = r.get('tsk_info')\\n resp_data['status'] = True\\n else:\\n resp_data['error_message'] = r.get('error_message')\\n except Exception as e:\\n resp_data['error_message'] = str(e)\\n return resp_data\",\n \"def pushToS3()-> None:\\n logging.info(f\\\"Connecting to s3 {getTime()}\\\")\\n s3 = boto3.client(\\\"s3\\\",endpoint_url=\\\"http://localhost:4566\\\")\\n if(not s3.head_bucket(Bucket=\\\"demo\\\")):\\n s3.create_bucket(Bucket='demo')\\n try:\\n logging.info(f\\\"Uploading to s3 {getTime()}\\\")\\n s3.upload_file(\\\"result.csv\\\",\\\"demo\\\",\\\"result.csv\\\")\\n logging.info(f\\\"Finished uploding to s3 {getTime()}\\\")\\n except ClientError as e:\\n logging.error(f\\\"Error uploading file to S3 {getTime()}\\\")\",\n \"def lambda_handler(event, context):\\n\\n REGION = 'eu-central-1' # region to launch instance.\\n INSTANCE_ID = 'i-02ad64e2ab12d8719'\\n INSTANCE_TYPE = 't2.medium' # instance type to launch.\\n BUCKET_NAME = 'bluecaparticles'\\n\\n ec2 = boto3.resource('ec2', REGION)\\n instance = ec2.Instance(INSTANCE_ID)\\n\\n crawl_date = datetime.datetime.now()\\n print(\\\"\\\\n--> Crawling date %s\\\" % crawl_date.strftime(\\\"%Y-%m-%d\\\"))\\n\\n # try:\\n try:\\n trigger_file = event['Records'][0]['s3']['object']['key']\\n except:\\n trigger_file = ''\\n\\n if trigger_file:\\n if 'cincodias' in trigger_file:\\n print(\\\"\\\\n--> Crawling Elconfidencial\\\")\\n parse_elconfidencial(crawl_date, BUCKET_NAME)\\n elif 'elconfidencial' in trigger_file:\\n print(\\\"\\\\n--> Crawling Eleconomista\\\")\\n parse_eleconomista(crawl_date, BUCKET_NAME)\\n elif 'eleconomista' in trigger_file:\\n print(\\\"\\\\n--> Crawling Expansion\\\")\\n parse_expansion(crawl_date, BUCKET_NAME)\\n elif 'expansion' in trigger_file:\\n print(\\\"\\\\n--> Launching EC2...\\\")\\n response = instance.start()\\n else:\\n print(\\\"\\\\n--> Crawling cincodias\\\")\\n parse_cincodias(crawl_date, BUCKET_NAME)\",\n \"def submit_lambdas(self):\\n payload, self.buffer = self.buffer, []\\n self.batch_count += 1\\n # self.next_deadline = self.loop.time() + self.interval\\n try:\\n # Break these up into chunks of size `self.chunk_size`\\n if self.debug_print:\\n print(\\\"Breaking payload of length {} into {} chunks of length {} or smaller...\\\".format(len(payload), ceil(len(payload) / self.chunk_size), self.chunk_size))\\n chunks = [payload[x : x + self.chunk_size] for x in range(0, len(payload), self.chunk_size)]\\n self.total_lambdas_invoked = self.total_lambdas_invoked + len(chunks)\\n self.num_tasks_invoked = self.num_tasks_invoked + len(payload)\\n # Send each chunk to an invocation of the AWS Lambda function for evaluation.\\n for chunk in chunks:\\n to_be_serialized = {\\\"task_list\\\": chunk, \\\"scheduler-address\\\": self.scheduler_address}\\n serialized_payload = json.dumps(to_be_serialized)\\n if self.debug_print:\\n print(\\\"serialized_payload: {}\\\".format(str(serialized_payload)))\\n self.lambda_client.invoke(FunctionName='FunctionExecutor', InvocationType='Event', Payload=serialized_payload)\\n print(\\\"self.total_lambdas_invoked: \\\", self.total_lambdas_invoked)\\n print(\\\"self.num_tasks_invoked: \\\", self.num_tasks_invoked)\\n except Exception:\\n logger.exception(\\\"Error in batched write\\\")\\n print(\\\"Error in batched write.\\\")\\n break\\n finally:\\n payload = None # lose ref \",\n \"def publish_artifacts(self): # pylint: disable=too-many-locals\\n try:\\n b3resource = boto3.resource(\\n 's3', endpoint_url=os.environ[\\\"S3_ENDPOINT_URL\\\"])\\n dst_s3_url = os.environ[\\\"S3_DST_URL\\\"]\\n multipart_threshold = 5 * 1024 ** 5 if \\\"google\\\" in os.environ[\\n \\\"S3_ENDPOINT_URL\\\"] else 8 * 1024 * 1024\\n config = TransferConfig(multipart_threshold=multipart_threshold)\\n bucket_name = urlparse(dst_s3_url).netloc\\n try:\\n b3resource.meta.client.head_bucket(Bucket=bucket_name)\\n except botocore.exceptions.ClientError as exc:\\n error_code = exc.response['Error']['Code']\\n if error_code == '404':\\n # pylint: disable=no-member\\n b3resource.create_bucket(Bucket=bucket_name)\\n else:\\n raise exc\\n except Exception as exc: # pylint: disable=broad-except\\n raise exc\\n path = urlparse(dst_s3_url).path.strip(\\\"/\\\")\\n dst_http_url = os.environ[\\\"HTTP_DST_URL\\\"]\\n output_str = \\\"\\\\n\\\"\\n # protects if test cases return details as None\\n self.details = self.details or {}\\n self.details[\\\"links\\\"] = []\\n for log_file in [self.output_log_name, self.output_debug_log_name]:\\n if os.path.exists(os.path.join(self.dir_results, log_file)):\\n abs_file = os.path.join(self.dir_results, log_file)\\n mime_type = mimetypes.guess_type(abs_file)\\n self.__logger.debug(\\n \\\"Publishing %s %s\\\", abs_file, mime_type)\\n # pylint: disable=no-member\\n b3resource.Bucket(bucket_name).upload_file(\\n abs_file, os.path.join(path, log_file), Config=config,\\n ExtraArgs={'ContentType': mime_type[\\n 0] or 'application/octet-stream'})\\n link = os.path.join(dst_http_url, log_file)\\n output_str += f\\\"\\\\n{link}\\\"\\n self.details[\\\"links\\\"].append(link)\\n for root, _, files in os.walk(self.res_dir):\\n for pub_file in files:\\n abs_file = os.path.join(root, pub_file)\\n mime_type = mimetypes.guess_type(abs_file)\\n self.__logger.debug(\\n \\\"Publishing %s %s\\\", abs_file, mime_type)\\n # pylint: disable=no-member\\n b3resource.Bucket(bucket_name).upload_file(\\n abs_file,\\n os.path.join(path, os.path.relpath(\\n os.path.join(root, pub_file),\\n start=self.dir_results)),\\n Config=config,\\n ExtraArgs={'ContentType': mime_type[\\n 0] or 'application/octet-stream'})\\n link = os.path.join(dst_http_url, os.path.relpath(\\n os.path.join(root, pub_file),\\n start=self.dir_results))\\n output_str += f\\\"\\\\n{link}\\\"\\n self.details[\\\"links\\\"].append(link)\\n self.__logger.info(\\n \\\"All artifacts were successfully published: %s\\\\n\\\", output_str)\\n return TestCase.EX_OK\\n except KeyError as ex:\\n self.__logger.error(\\\"Please check env var: %s\\\", str(ex))\\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\\n except botocore.exceptions.NoCredentialsError:\\n self.__logger.error(\\n \\\"Please fill ~/.aws/credentials, ~/.boto or set \\\"\\n \\\"AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY in env\\\")\\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\\n except Exception: # pylint: disable=broad-except\\n self.__logger.exception(\\\"Cannot publish the artifacts\\\")\\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\",\n \"def main(): \\n spark = create_spark_session()\\n print(\\\"Spark Session Created\\\")\\n\\n #Print S3 bucket location\\n s3_bucket=os.environ[\\\"s3_bucket\\\"]\\n s3_bucket = s3_bucket.replace(\\\"'\\\", \\\"\\\")\\n \\n print (s3_bucket)\\n \\n #Invoke Functions to process data\\n process_data(spark, s3_bucket)\",\n \"def create_and_fill_bucket(self):\\n EmrProcessing.bucket = \\\\\\n self.s3_handle.create_bucket(EmrProcessing.bucket_name)\\n key = EmrProcessing.bucket.new_key('input/test.csv')\\n input_file_path = '../data/test.csv'\\n key.set_contents_from_filename(input_file_path)\\n key.set_acl('public-read')\\n\\n key = EmrProcessing.bucket.new_key('mapper/mapper.py')\\n input_file_path = '../src/mapper/mapper.py'\\n key.set_contents_from_filename(input_file_path)\\n key.set_acl('public-read')\",\n \"def setup_bucket_w_contents(mock_s3_client, test_bucket, test_df_key, test_df):\\n s3 = boto3.client('s3')\\n s3.create_bucket(Bucket=test_bucket)\\n\\n with NamedTemporaryFile() as tmpfile:\\n test_df.to_csv(tmpfile.name, index=False, header=False)\\n s3.upload_file(tmpfile.name, test_bucket, test_df_key)\\n\\n yield\",\n \"def invoke_lambda(bucket, body_id):\\n payload = {\\\"body_id\\\": body_id}\\n if \\\"prod\\\" not in bucket:\\n payload[\\\"bucket\\\"] = bucket\\n response = LAMBDA_CLIENT.invoke(FunctionName=\\\"create_ppp_body_thumbnails\\\",\\n InvocationType=\\\"Event\\\",\\n Payload=json.dumps(payload))\\n if ARG.DEBUG:\\n pprint.pprint(response, indent=4)\\n COUNT[\\\"Submitted\\\" if response[\\\"StatusCode\\\"] == 202 else \\\"Submit error\\\"] += 1\\n if \\\"Payload\\\" in response:\\n LOGGER.debug(response['Payload'].read().decode(\\\"utf-8\\\"))\",\n \"def main():\\n\\n ## Deal with incoming.\\n parser = argparse.ArgumentParser(\\n description=__doc__,\\n formatter_class=argparse.RawDescriptionHelpFormatter)\\n parser.add_argument('-w', '--walk',\\n help='Combined report JSON file')\\n parser.add_argument('-r', '--remote',\\n help='The remote server to map onto')\\n parser.add_argument('-o', '--output',\\n help='The file to dump the JSON output to')\\n parser.add_argument('-v', '--verbose', action='store_true',\\n help='More verbose output')\\n args = parser.parse_args()\\n\\n if args.verbose:\\n LOG.setLevel(logging.INFO)\\n LOG.info('Verbose: on')\\n\\n ## Ensure directory.\\n if not args.walk:\\n die_screaming('need a \\\"walk\\\" argument')\\n LOG.info('Will walk directory: ' + args.walk)\\n ## Ensure URL.\\n if not args.remote:\\n die_screaming('need \\\"remote\\\" argument')\\n LOG.info('Will map unto URL: ' + args.remote)\\n ## Ensure output file.\\n if not args.output:\\n die_screaming('need an output file argument')\\n LOG.info('Will output to: ' + args.output)\\n\\n ## Walk tree.\\n lookup = [];\\n for curr_dir, dirs, files in os.walk(args.walk):\\n\\n ## We can navigate up if we are not in the root.\\n relative_to_start = curr_dir.rstrip('//')[len(args.walk):]\\n relative_to_start = relative_to_start.lstrip('//')\\n LOG.info('curr_dir: ' + curr_dir + ' (' + relative_to_start + ')')\\n\\n ## Note files and directories.\\n for fname in files:\\n\\n ## Figure out S3 path/key and final filename, keeping in\\n ## mind that relative_to_Start can be empty if root.\\n webpath = fname\\n if relative_to_start:\\n webpath = relative_to_start + '/' + fname\\n filename = os.path.join(curr_dir, fname)\\n\\n size = os.path.getsize(filename)\\n md5sum = hashlib.md5(open(filename, 'rb').read()).hexdigest()\\n\\n ## Visual check.\\n LOG.info('file: '+ filename + ' -> [' + args.remote + '] / ' + webpath + '; ' + str(size) + ', ' + md5sum)\\n\\n lookup.append({\\n 'url': args.remote + '/' + webpath,\\n 'length': str(size),\\n 'filename': webpath,\\n 'md5': md5sum\\n })\\n\\n ## Final writeout.\\n output = json.dumps(lookup, sort_keys=True, indent=4)\\n with open(args.output, 'w+') as fhandle:\\n fhandle.write(output)\\n LOG.info(output)\",\n \"def runEventCreation():\\r\\n config = CONFIG['steps']['EventCreation']\\r\\n ci = config['inputs']\\r\\n co = config['outputs']\\r\\n\\r\\n min_window_size = ci['min_window_size']\\r\\n change_speed_by = ci['change_speed_by']\\r\\n speed_ratio = ci['train_zero_speed_ratio']\\r\\n datetime_limit = ci['datetime_limit']\\r\\n csv_name_prefix = ci['csv_name_prefix']\\r\\n input_bucket = ci['bucket']\\r\\n window_event_bucket = ci['window_event_bucket']\\r\\n window_events_file = ci['window_events_file']\\r\\n\\r\\n output_bucket = co['bucket']\\r\\n event_dir = co['event_dir']\\r\\n filename_include = co['filename_include']\\r\\n\\r\\n minio_config = CONFIG['artifacts']['minio']\\r\\n minioClient = create_minio_client(minio_config[\\\"endpoint_url\\\"],\\r\\n access_key=minio_config[\\\"access_key\\\"],\\r\\n secret_key=minio_config[\\\"secret_key\\\"],\\r\\n secure=minio_config['secure'])\\r\\n\\r\\n boto_client = boto3.client(\\\"s3\\\",\\r\\n endpoint_url=minio_config[\\\"endpoint_url\\\"],\\r\\n aws_access_key_id=minio_config[\\\"access_key\\\"],\\r\\n aws_secret_access_key=minio_config[\\\"secret_key\\\"],\\r\\n region_name=minio_config[\\\"region_name\\\"])\\r\\n\\r\\n csv_files = get_files(input_bucket, boto_client,\\r\\n file_type='csv', prefix='filtered')\\r\\n csv_files = ['filtered/7016_2020-09-09.csv']\\r\\n create_window_event(files=csv_files,\\r\\n input_bucket=input_bucket,\\r\\n output_bucket=output_bucket,\\r\\n minio_client=minioClient,\\r\\n min_window_size=min_window_size,\\r\\n ouput_dir=event_dir,\\r\\n window_event_bucket=window_event_bucket,\\r\\n window_events_file=window_events_file,\\r\\n csv_name_prefix=csv_name_prefix,\\r\\n change_speed_by=change_speed_by,\\r\\n train_zero_speed_ratio=speed_ratio,\\r\\n datetime_limit=datetime_limit,\\r\\n filename_include=filename_include)\",\n \"def handler(event, context):\\n collection_blacklist = environ.get(\\\"COLLECTION_BLACKLIST\\\")\\n bucket_folder = environ.get(\\\"BUCKET_FOLDER\\\", \\\"backups\\\")\\n bucket_name = environ[\\\"BUCKET_NAME\\\"]\\n db_uri = environ[\\\"MONGO_URI\\\"]\\n\\n if environ.get(\\\"MONGO_URI_IS_ENCRYPTED\\\"):\\n from base64 import b64decode\\n\\n kms = boto.client(\\\"kms\\\")\\n decrypted = kms.decrypt(CiphertextBlob=b64decode(db_uri))\\n db_uri = decrypted[\\\"Plaintext\\\"].decode()\\n\\n db_name = environ.get(\\\"MONGO_DATABASE\\\")\\n if db_name is None:\\n from urllib.parse import urlparse\\n\\n loc = urlparse(db_uri)\\n db_name = loc.path.strip(\\\"/\\\")\\n\\n LOGGER.info(\\n \\\"Backing up collections from database %s in bucket %s\\\", db_name, bucket_name\\n )\\n\\n s3.meta.client.head_bucket(\\n Bucket=bucket_name\\n ) # Check that the given bucket actually exists.\\n\\n client = MongoClient(db_uri)\\n database = client.get_database(db_name)\\n\\n skip = (\\n [s.strip() for s in collection_blacklist.split(\\\",\\\")]\\n if collection_blacklist\\n else []\\n )\\n eligible_collections = [\\n name for name in database.collection_names() if not name in skip\\n ]\\n\\n json_options = JSONOptions(datetime_representation=DatetimeRepresentation.ISO8601)\\n\\n def write_all_docs(collection_name, writer):\\n for doc in database.get_collection(collection_name).find():\\n writer.write(dumps(doc, json_options=json_options) + \\\"\\\\n\\\")\\n\\n for collection_name in eligible_collections:\\n if environ.get(\\\"IN_MEMORY\\\"):\\n writer = StringIO()\\n write_all_docs(collection_name, writer)\\n\\n s3.Bucket(bucket_name).put_object(\\n Body=writer.getvalue().encode(),\\n Key=\\\"{}/{}.json\\\".format(bucket_folder, collection_name),\\n )\\n\\n else:\\n with open(temp_filepath, \\\"w\\\") as writer:\\n write_all_docs(collection_name, writer)\\n\\n s3.Bucket(bucket_name).upload_file(\\n temp_filepath, \\\"{}/{}.json\\\".format(bucket_folder, collection_name)\\n )\\n\\n LOGGER.info(\\\"Done backing up collection {}\\\".format(collection_name))\",\n \"def _add_tag_files(\\n zip_file, dir_name, payload_info_list, payload_byte_count, payload_file_count\\n):\\n tag_info_list = []\\n _add_tag_file(zip_file, dir_name, tag_info_list, _gen_bagit_text_file_tup())\\n _add_tag_file(\\n zip_file,\\n dir_name,\\n tag_info_list,\\n _gen_bag_info_file_tup(payload_byte_count, payload_file_count),\\n )\\n _add_tag_file(\\n zip_file, dir_name, tag_info_list, _gen_pid_mapping_file_tup(payload_info_list)\\n )\\n return tag_info_list\",\n \"def deployLambdaFunctionFromS3(name:str, iamRoleARN:str, handler:str, bucket:str, object:str, version:str=None, runtime='python3.7') -> str:\\n client = boto3.client('lambda')\\n try:\\n code = {\\n 'S3Bucket': bucket,\\n 'S3Key': object,\\n }\\n if version:\\n code['S3ObjectVersion'] = version\\n response = client.create_function(\\n Role = iamRoleARN,\\n FunctionName = name,\\n Runtime = runtime,\\n Handler = handler,\\n Code = code\\n )\\n except ClientError as e:\\n raise LambdaDeploymentException(e)\\n if not 'FunctionArn' in response:\\n raise LambdaDeploymentException('\\\\\\\"FunctionArn\\\\\\\" is not contained in the response. ', repr(response))\\n return response['FunctionArn']\",\n \"def lambda_handler(event, context):\\n try:\\n day = datetime.datetime.now().weekday()\\n\\n fetcher = assume_role()\\n config = fetch_config_from_s3(fetcher)\\n print config\\n\\n if is_weekday(day, config['schedule']['halfDay']):\\n client = assume_role()\\n for role_arn in config['role_arns']:\\n account_number = role_arn.split(\\\":\\\")[4]\\n ec2_user = create_temp_user(client, role_arn)\\n\\n start_up_time, stop_time, now, tz = convert_to_datetime(config['times'])\\n logger.info(\\\"Lambda started for account : {}\\\".format(config['account_names'][account_number]))\\n start_stop(now, start_up_time, stop_time, ec2_user, config, tz)\\n else:\\n logger.info(\\\"I do not operate on weekends.\\\")\\n except Exception as error:\\n logger.info(\\\"Lambda failed to run with the following error : {}\\\".format(error))\",\n \"def _get_tasks_from_s3(self):\\n files = self._get_s3_keys([], '')\\n tasks = {}\\n for i, x in enumerate(tqdm(files)):\\n n = x['Key'].split('/')[-1]\\n if self.task_filters and not [x for x in self.task_filters if x in n]:\\n continue\\n n = n.split('_')\\n tasks[i] = {\\n 'task_name': '_'.join(n[:-1]),\\n 'task_params': pickle.loads(self.resource.Object(self.bucket_name, x['Key'].replace('task_log', 'task_params')).get()['Body'].read()),\\n 'task_log': pickle.loads(self.resource.Object(self.bucket_name, x['Key']).get()['Body'].read()),\\n 'last_modified': x['LastModified'],\\n 'task_hash': n[-1].split('.')[0]\\n }\\n return tasks\",\n \"def upload(env):\\n if not env:\\n click.echo(\\\"Environment must be specified\\\")\\n click.Abort()\\n\\n with open(\\\"zappa_settings.json\\\", \\\"r\\\") as f:\\n settings = json.load(f)\\n\\n if not settings:\\n click.echo(\\\"Settings not loaded\\\")\\n click.Abort()\\n return\\n\\n try:\\n s3_bucket = settings[env][\\\"s3_bucket\\\"]\\n aws_region = settings[env][\\\"aws_region\\\"]\\n except AttributeError:\\n click.echo(\\\"Failed to get details from settings\\\")\\n click.Abort()\\n return\\n\\n session = boto3.Session()\\n credentials = session.get_credentials()\\n current_credentials = credentials.get_frozen_credentials()\\n\\n app.config[\\\"FLASKS3_FORCE_MIMETYPE\\\"] = True\\n\\n try:\\n css_assets.build()\\n\\n flask_s3.create_all(\\n app,\\n user=current_credentials.access_key,\\n password=current_credentials.secret_key,\\n bucket_name=s3_bucket,\\n location=aws_region,\\n put_bucket_acl=False,\\n )\\n click.echo(\\n f\\\"Uploaded assets to Bucket https://{s3_bucket}.s3.{aws_region}.amazonaws.com\\\"\\n )\\n except Exception as e:\\n click.echo(f\\\"Failed to upload assets: {e}\\\")\",\n \"def compress(self, public_key, input_dir, output_dir, suffix):\\n if self.valid_configuration():\\n\\n # create directories if they do not exist\\n self.__setup_dir(input_dir)\\n self.__setup_dir(output_dir)\\n\\n compress = Compress(public_key, verify_ssl=True, proxies=None)\\n compress.set_output_folder(output_dir)\\n\\n # search input directory for PDFs. Return if there are no matching files\\n files = self.__get_files(input_dir, \\\"pdf\\\")\\n files = self.__ignore_files_with_suffix(files)\\n if not files:\\n print(\\\"ERROR: there are no files to compressed.\\\")\\n return\\n\\n # efficiently distribute archive load by available concurrent task rate limit\\n file_bins = self.distribute_load(files, self.__config.concurrency_limit())\\n\\n # distribute load by the available threads, also corresponding to the api concurrency limit\\n with ThreadPoolExecutor(max_workers=self.__config.concurrency_limit()) as executor:\\n for sorted_files in file_bins:\\n if sorted_files:\\n compress = Compress(public_key, verify_ssl=True, proxies=None)\\n compress.set_output_folder(output_dir)\\n executor.submit(PDFWorkshop.process_files, compress, sorted_files)\\n\\n # unzip response zip, if there is one\\n # note that the API response is a zip only if more than one pdf was submitted\\n for zip_file in self.__get_files(output_dir, \\\"zip\\\"):\\n if \\\"compress_\\\" in zip_file:\\n zip_ref = zipfile.ZipFile(zip_file, 'r')\\n zip_ref.extractall(output_dir)\\n zip_ref.close()\\n os.remove(zip_file)\\n\\n # rename all PDFs to their original filename and possibly add a suffix\\n [os.rename(filename, self.__rename_file(filename, suffix))\\n for filename in self.__get_files_to_rename(output_dir)]\",\n \"def runCreateFeatures():\\r\\n config = CONFIG['steps']['CreateFeatures']\\r\\n ci = config['inputs']\\r\\n co = config['outputs']\\r\\n\\r\\n filename_include = ci['filename_include']\\r\\n speed_vars = ci['speed_vars']\\r\\n sample_value = ci['sample_value']\\r\\n nominal_feature_name = ci['nominal_feature_name']\\r\\n input_bucket = ci['bucket']\\r\\n event_dir = ci['event_dir']\\r\\n\\r\\n output_bucket = co['bucket']\\r\\n features_dir = co['features_dir']\\r\\n save_features_path = co['features_path']\\r\\n\\r\\n minio_config = CONFIG['artifacts']['minio']\\r\\n minioClient = create_minio_client(minio_config[\\\"endpoint_url\\\"],\\r\\n access_key=minio_config[\\\"access_key\\\"],\\r\\n secret_key=minio_config[\\\"secret_key\\\"],\\r\\n secure=minio_config['secure'])\\r\\n\\r\\n boto_client = boto3.client(\\\"s3\\\",\\r\\n endpoint_url=minio_config[\\\"endpoint_url\\\"],\\r\\n aws_access_key_id=minio_config[\\\"access_key\\\"],\\r\\n aws_secret_access_key=minio_config[\\\"secret_key\\\"],\\r\\n region_name=minio_config[\\\"region_name\\\"])\\r\\n\\r\\n # pkl_files = get_files(input_bucket, boto_client,\\r\\n # file_type='pkl', prefix=event_dir)\\r\\n\\r\\n pkl_files = ['events1min/0_2020-02-03.zip']\\r\\n process_event_files(files=pkl_files,\\r\\n input_bucket=input_bucket,\\r\\n output_bucket=output_bucket,\\r\\n features_dir=features_dir,\\r\\n save_features_path=save_features_path,\\r\\n minio_client=minioClient,\\r\\n speed_vars=speed_vars,\\r\\n sample_value=sample_value,\\r\\n filename_include=filename_include,\\r\\n nominal_feature_name=nominal_feature_name)\",\n \"def setup(zip_path, dest_path):\\n\\n #makes folder for zip files\\n make_directory(zip_path)\\n\\n #makes folder for processed data\\n make_directory(dest_path)\",\n \"def upload_package(self, filename=None):\\n logger.info(\\\"Uploading the package to S3\\\")\\n s3f = S3FunctionUploader(self.function_config['Code']['S3Bucket'])\\n self.s3_filename = path.join(\\n self.function_config['Code']['S3KeyPath'],\\n path.basename(filename or self.local_filename)\\n )\\n s3f.upload(filename or self.local_filename,\\n self.s3_filename)\",\n \"def run(self):\\n data = query_orm(self.orm)\\n # To avoid confusion downstream: don't write out data if there isn't any\\n if not data:\\n return\\n for table_key, version_key in self.make_s3_keys():\\n save_to_s3(table_key, version_key, data)\",\n \"def process_data():\\n for message in get_messages_from_sqs():\\n try:\\n message_content = json.loads(message.body)\\n input_file = urllib.unquote_plus(message_content\\n ['Records'][0]['s3']['object']\\n ['key']).encode('utf-8')\\n s3.download_file(input_bucket_name, input_file, input_file)\\n output_file = os.path.join(output_dir, os.path.splitext(input_file)[0]+'.csv')\\n parse_patient_data(input_file, output_file)\\n upload_data(output_file)\\n cleanup_files(input_file, output_file)\\n except:\\n message.change_visibility(VisibilityTimeout=0)\\n continue\\n else:\\n message.delete()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.64204836","0.63022864","0.6259235","0.6092332","0.59669536","0.5948963","0.5852074","0.5800756","0.57910043","0.5769824","0.5736082","0.5676278","0.5634184","0.5622248","0.55950046","0.5543822","0.55227745","0.551679","0.5510865","0.5473884","0.54647326","0.543783","0.54335904","0.5429302","0.54227155","0.54143757","0.5407315","0.5403271","0.539971","0.539018","0.5384801","0.5367805","0.5366444","0.53603476","0.53570694","0.53384024","0.53093994","0.5282888","0.5275776","0.52732503","0.5264573","0.5249231","0.52098244","0.5199274","0.5198082","0.519428","0.51909745","0.518312","0.51770425","0.5154274","0.5148544","0.5147212","0.5145834","0.51370376","0.5115319","0.5109557","0.5100586","0.50857955","0.5082768","0.5082634","0.50824755","0.5074431","0.5069424","0.5059761","0.5047238","0.5046351","0.5044812","0.5039372","0.5036902","0.502872","0.5015333","0.499188","0.4990804","0.49770173","0.49699476","0.49682415","0.49624997","0.49441808","0.49382812","0.4937544","0.49369472","0.49303952","0.49169472","0.4914476","0.49104816","0.49049395","0.48973063","0.4896305","0.48934364","0.4893139","0.48891038","0.48614237","0.48571593","0.48567826","0.48480538","0.48413476","0.48348042","0.4830529","0.48242468","0.48189032"],"string":"[\n \"0.64204836\",\n \"0.63022864\",\n \"0.6259235\",\n \"0.6092332\",\n \"0.59669536\",\n \"0.5948963\",\n \"0.5852074\",\n \"0.5800756\",\n \"0.57910043\",\n \"0.5769824\",\n \"0.5736082\",\n \"0.5676278\",\n \"0.5634184\",\n \"0.5622248\",\n \"0.55950046\",\n \"0.5543822\",\n \"0.55227745\",\n \"0.551679\",\n \"0.5510865\",\n \"0.5473884\",\n \"0.54647326\",\n \"0.543783\",\n \"0.54335904\",\n \"0.5429302\",\n \"0.54227155\",\n \"0.54143757\",\n \"0.5407315\",\n \"0.5403271\",\n \"0.539971\",\n \"0.539018\",\n \"0.5384801\",\n \"0.5367805\",\n \"0.5366444\",\n \"0.53603476\",\n \"0.53570694\",\n \"0.53384024\",\n \"0.53093994\",\n \"0.5282888\",\n \"0.5275776\",\n \"0.52732503\",\n \"0.5264573\",\n \"0.5249231\",\n \"0.52098244\",\n \"0.5199274\",\n \"0.5198082\",\n \"0.519428\",\n \"0.51909745\",\n \"0.518312\",\n \"0.51770425\",\n \"0.5154274\",\n \"0.5148544\",\n \"0.5147212\",\n \"0.5145834\",\n \"0.51370376\",\n \"0.5115319\",\n \"0.5109557\",\n \"0.5100586\",\n \"0.50857955\",\n \"0.5082768\",\n \"0.5082634\",\n \"0.50824755\",\n \"0.5074431\",\n \"0.5069424\",\n \"0.5059761\",\n \"0.5047238\",\n \"0.5046351\",\n \"0.5044812\",\n \"0.5039372\",\n \"0.5036902\",\n \"0.502872\",\n \"0.5015333\",\n \"0.499188\",\n \"0.4990804\",\n \"0.49770173\",\n \"0.49699476\",\n \"0.49682415\",\n \"0.49624997\",\n \"0.49441808\",\n \"0.49382812\",\n \"0.4937544\",\n \"0.49369472\",\n \"0.49303952\",\n \"0.49169472\",\n \"0.4914476\",\n \"0.49104816\",\n \"0.49049395\",\n \"0.48973063\",\n \"0.4896305\",\n \"0.48934364\",\n \"0.4893139\",\n \"0.48891038\",\n \"0.48614237\",\n \"0.48571593\",\n \"0.48567826\",\n \"0.48480538\",\n \"0.48413476\",\n \"0.48348042\",\n \"0.4830529\",\n \"0.48242468\",\n \"0.48189032\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.57893515"},"document_rank":{"kind":"string","value":"9"}}},{"rowIdx":91294,"cells":{"query":{"kind":"string","value":"remove distracting whitespaces and newline characters"},"document":{"kind":"string","value":"def bs_preprocess(html):\n pat = re.compile('(^[\\s]+)|([\\s]+$)', re.MULTILINE)\n html = re.sub(pat, '', html) # remove leading and trailing whitespaces\n html = re.sub('\\n', ' ', html) # convert newlines to spaces\n # this preserves newline delimiters\n html = re.sub('[\\s]+<', '<', html) # remove whitespaces before opening tags\n html = re.sub('>[\\s]+', '>', html) # remove whitespaces after closing tags\n return html"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def clean_whitespace(text):\n return text\n #return re.sub(r'\\r\\n|\\n', \"\\t\", text)","def removeSingleChars(self) -> None:\n self.text = re.sub('\\s[^\\n\\s]\\s', ' ', self.text)","def _removeWhitespaces(self, s):\n return s.translate({ord(c): None for c in string.whitespace})","def __stripEol(self, txt):\n return txt.replace(\"\\r\", \"\").replace(\"\\n\", \"\")","def clean(line):\n line = line.lower().replace(\"\\n\",\" \").replace(\"\\r\",\"\").replace(',',\"\").replace(\">\",\"> \").replace(\"<\", \" <\").replace(\"|\",\" \")\n return line","def _text_remove_s(all_text):\n\t# on n'agit que s'il y a au moins un cara plein\n\t\t# => pas les elts vides, ni \\s dont saut de ligne\n\tif len(all_text) and search('[^\\s]', all_text, flags=MULTILINE):\n\t\tflat_alltext = sub(r'\\n', '¤', all_text, flags=MULTILINE)\n\t\tflat_alltext = sub(r'[¤\\s]+$', '', flat_alltext)\n\t\tflat_alltext = sub(r'^[¤\\s]+', '', flat_alltext)\n\telse:\n\t\tflat_alltext = ''\n\treturn flat_alltext","def _clean(s):\n return re.sub(r'\\s+', ' ', s.strip())","def strip_space():\n pass","def strip_other_charcter():\n pass","def clean(text):\n new = text.replace(\"\\r\", \"\")\n new = new.replace(\"\\t\", \"\")\n new = new.replace(\"\\n\", \"\")\n new = new.replace(\"- \", \"-\")\n new = new.replace(\" \", \" \")\n return new","def _preprocess(self, source):\n source = source.replace(u'\\n', u'').strip()\n source = re.sub(r'<br\\s*\\/?\\s*>', u' ', source, re.I)\n source = re.sub(r'\\s\\s+', u' ', source)\n return source","def _remove_whitespaces(self, text: str) -> str:\n return \" \".join(re.sub(\"\\xa0\", \" \", str(text)).split())","def clean_text(text):\n return(re.sub(\" {2,}|\\r|\\n\",\"\", text))","def normalize_whitespace(text):\n return RE_NONBREAKING_SPACE.sub(\" \", RE_LINEBREAK.sub(r\"\\n\", text)).strip()","def _remove_left_padded_special_chars(self, text: str) -> str:\n pattern = re.compile(\"\\ +[^A-Za-z0-9\\n]\")\n text = re.sub(pattern, \" \", text)\n return text","def filter_blanks(user, str):\n return re.sub(r'\\n{2}\\n+', '\\n', str)","def _clean(self, string):\n return re.sub('\\s+', ' ', string).strip()","def clean_text(text):\n return text.replace('\\n', ' ').replace('\\r', ' ')","def clean_header(klass, s):\n return re.sub(r\"[\\n\\r\\t]+\", \" \", s).strip()","def del_whitespace(selfs, text):\n\t\treturn text.replace(' ', '')","def remove_whitespaces(text: str) -> str:\n return text.lstrip().rstrip()","def normalize(s):\n return s.strip(inline_whitespace)","def remove_excess_white_space(lines: str):\n two_plus_white_space = r\"\\s{2,}\"\n return re.sub(two_plus_white_space, \"\", lines)","def preprocess(x):\n\n\tres = re.sub(r'[^\\w\\s]', '', x)\n\tres = res.strip('\\n')\n\n\treturn res","def _StripWS(s):\r\n return re.sub('\\s+', '', s)","def _StripWS(s):\r\n return re.sub('\\s+', '', s)","def removeSpecialChars(self) -> None:\n self.text = re.sub('[^a-zA-z0-9\\n\\.\\s]', '', self.text)","def _remove_extra_whitespaces(self, text: str) -> str:\n return re.sub(\" +\", \" \", text)","def desc_cleanser(self, txt):\n # New line issues\n txt = re.sub(r'\\\\n', r' ', txt)\n # Unicode cleanse\n txt = re.sub(r'\\\\u[\\d]{4}', r'', txt)\n # Remaining unicode cleanse\n txt = re.sub(r'\\\\{1,2}\\S+', r' ', txt)\n # Remove remaining non-alphanumeric and spaces\n txt = ''.join([i for i in txt if i.isalnum() or i.isspace() or i in ['.','?','!']])\n # Remove more than a single space\n txt = re.sub(r'\\s+', r' ', txt)\n\n return txt","def removeExtraSpaces(self, words):\n\t\treturn re.sub(r'\\s+', ' ', words.strip()).strip()","def remove_noise(text):\n text1 = re.sub(\"[\\t\\r\\s]\", \" \",text)\n text1 = \" \" + text1\n text2 = re.sub(r\"([ \" + string.punctuation + \"]+)[^a-zA-Z ]+\", \"\\g<1> \", text1)\n return text2","def removeMultipleSpaces(self) -> None:\n self.text = re.sub('\\s+', ' ', self.text)","def strip_whitespace(self, text):\n\t\treturn text.strip()","def normalize(self, what):\n txt = strippedtxt(what, [\"\\002\", \"\\003\"])\n txt = re.sub(\"\\s+\", \" \", what)\n txt = stripcolor(txt)\n txt = txt.replace(\"\\002\", \"*\")\n txt = txt.replace(\"<b>\", \"*\")\n txt = txt.replace(\"</b>\", \"*\")\n txt = txt.replace(\"<i>\", \"\")\n txt = txt.replace(\"</i>\", \"\")\n txt = txt.replace(\"<b>\", \"*\")\n txt = txt.replace(\"</b>\", \"*\")\n txt = txt.replace(\"<i>\", \"\")\n txt = txt.replace(\"</i>\", \"\")\n return txt","def _clean_text(self, text):\n output = []\n for char in text:\n cp = ord(char)\n if cp == 0 or cp == 0xFFFD or _is_control(char):\n continue # pragma: no cover\n if _is_whitespace(char):\n output.append(\" \")\n else:\n output.append(char)\n return \"\".join(output)","def _sanitize(text):\n # TODO: any cleanup needed here?\n if text is None:\n return None\n text = text.replace('\\n', ' ')\n return text","def filter_blanks(user, str):\n if user.is_staff:\n return str\n return re.sub(r'\\n{2}\\n+', '\\n', str)","def _squeeze_whitespace(text):\n return re.sub(r'\\s+', ' ', text)","def clean_text ( self, text ) :\n text = BeautifulSoup ( text , \"lxml\" ).text # HTML decoding\n text = text.lower ( ) # lowercase text\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\n return text","def clean_text ( self, text ) :\n text = BeautifulSoup ( text , \"lxml\" ).text # HTML decoding\n text = text.lower ( ) # lowercase text\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\n return text","def clean_text ( self, text ) :\n text = BeautifulSoup ( text , \"lxml\" ).text # HTML decoding\n text = text.lower ( ) # lowercase text\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\n return text","def clean_text ( self, text ) :\n text = BeautifulSoup ( text , \"lxml\" ).text # HTML decoding\n text = text.lower ( ) # lowercase text\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\n return text","def clean_text ( self, text ) :\n text = BeautifulSoup ( text , \"lxml\" ).text # HTML decoding\n text = text.lower ( ) # lowercase text\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\n return text","def clean_text ( self, text ) :\n text = BeautifulSoup ( text , \"lxml\" ).text # HTML decoding\n text = text.lower ( ) # lowercase text\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\n return text","def normalize_whitespace(text):\n text = str(text)\n return re.sub(white_space_regex, ' ', text).strip()","def clean_text_from_nonbasic_characters(text):\n text = re.sub(r\"([^\\u0000-\\u007F])\", \" \", text)\n text = replace_newline_with_space(text).strip()\n text = text.replace(\"_\", \"\")\n text = clean_text_from_multiple_consecutive_whitespaces(text)\n return text","def clean_text_from_nonbasic_characters(text):\n text = re.sub(r\"([^\\u0000-\\u007F])\", \" \", text)\n text = replace_newline_with_space(text).strip()\n text = text.replace(\"_\", \"\")\n text = clean_text_from_multiple_consecutive_whitespaces(text)\n return text","def nettoie(txt):\n\ttxt = re.sub(\"\\s*$\",\"\",txt)\n\ttxt = re.sub(\"^\\s*\",\"\",txt)\n\treturn txt","def __cleanText(self,stripNonAlphaNumeric=False, stripNumbers=False):\n if stripNonAlphaNumeric:\n txt = r1.sub(\" \",self.getRawText() )\n else:\n txt = self.getRawText()\n # clean up white spaces\n txt = r2.sub(\" \",txt)\n if stripNumbers:\n txt = r3.sub(\"\",txt)\n self.graph[\"__txt\"] = txt\n self.graph[\"__scope\"] = (0,len(txt))","def cleanup_sentence(s):\n return re.sub(\"\\s+\", \" \", s.replace(\"\\t\", \"\").strip())","def remove_bad_characters(self):\n\n self.categorie_name = self.categorie_name.replace(\"\\n\", \"\")","def minimalTextCleaning(row, field):\n\n # force encoding\n encoded_text = row[field].encode(encoding = 'ascii',errors = 'replace')\n decoded_text = encoded_text.decode(encoding='ascii',errors='strict')\n remove_funky_chars = str(decoded_text).replace(\"?\", \" \")\n lower_case = str(remove_funky_chars).lower().strip()\n\n # strip redundant whitespace\n cleaned_text = re.sub(' +', ' ', lower_case)\n\n\n # strip signature lines\n cleaned_text = cleaned_text.replace(\"_\", \"\")\n\n return cleaned_text","def clean_unnecessary_whitespaces(self, tweet):\n tweet = ' '.join(tweet.split())\n\n return tweet","def clean_text(some_text):\n # import re\n some_clean_text = re.sub(r'\\n|\\t', '', some_text) # Remove new line and tabs\n some_clean_text = re.sub(' +', ' ', some_clean_text) # Replace multiple spaces with one space\n return some_clean_text","def clean_up(sentence):\n\treturn unicode(sentence.strip().replace(\"\\n\", \"\"), errors='ignore').strip().replace(\"\\x0c\", \"\")","def clean_text(data):\r\n data = data.replace('\\n', ' ') #remove new lines\r\n replace_l = [\"'\",'!','/','\\\\','=',',',':', '<','>','?','.','\"',')','(','|','-','#','*','+', '_'] #list of characters to remove\r\n data = data.lower() #Convert all the words to lower case\r\n for i in replace_l:\r\n data = data.replace(i,' ') #replace words with blank character\r\n return data #return clean data\r","def remove_extra_space(text):\n text = \" \".join(text.split())\n return text","def removeExtraSpaces(text):\n\tone_space = re.sub(r'\\s+',' ', text)\n\treturn one_space","def stripFormatting(self, s):\n # stripColor has to go first because of some strings, check the tests.\n s = stripColor(s)\n s = stripBold(s)\n s = stripReverse(s)\n s = stripUnderline(s)\n return s.replace('\\x0f', '').replace('\\x0F', '')","def squeeze(value):\r\n return re.sub(r\"[\\x00-\\x20]+\", \" \", value).strip()","def clean(text):\n return re.sub(REGEX, \"\", text).strip() + \"\\n\"","def _clean_text(self, text):\n output = []\n for char in text:\n cp = ord(char)\n if cp == 0 or cp == 65533 or _is_control(char):\n continue\n if _is_whitespace(char):\n output.append(' ')\n else:\n output.append(char)\n return ''.join(output)","def normalize_text(text):\n text = re.sub(r'[ \\t]+', ' ', text)\n text = re.sub(r'\\r', '', text)\n\n # Remove whitespace in the middle of text.\n text = re.sub(r'[ \\t]+\\n', '\\n', text)\n # Remove whitespace at the end of the text.\n text = text.rstrip()\n\n return text","def _clean_text(self, text):\n output = []\n for char in text:\n cp = ord(char)\n if cp == 0 or cp == 0xfffd or _is_control(char):\n continue\n if _is_whitespace(char):\n output.append(\" \")\n else:\n output.append(char)\n return \"\".join(output)","def clean(line):\n line = line.strip('\\n').strip()\n line = line.replace('\\xe2\\x80\\x93', '-')\n line = line.replace('\\xe2\\x80\\x99', '\\'')\n\n return line","def cleanSents(row, field):\n\n text = str(row[field]).lower()\n clean_text = re.sub('[^A-Za-z0-9]+', ' ', text).strip()\n return clean_text","def _prepare_text(body):\n text = body.lower()\n text = text.replace('\\n', ' ')\n regex = re.compile('[^a-z ]')\n return regex.sub('', text)","def clean_text(text):\n\n\n regex = re.compile('[\\.|\\-|\\,|\\?|\\_|\\:|\\\"|\\)|\\(\\)\\/|\\\\|\\>|\\<]')\n text = text.lower() # Turn everything to lower case\n text = regex.sub(' ', text).strip()\n out = re.sub(' +', ' ', text) # Reduce whitespace down to one\n \n return out","def small_preprocess(data):\r\n \r\n # Remove new line characters\r\n data = [re.sub('\\s+', ' ', sent) for sent in data]\r\n # Remove distracting single quotes\r\n data = [re.sub(\"\\'\", \"\", sent) for sent in data]\r\n\r\n return data","def _normalize_sentence(sent):\n #sent = sent[sent.find('\\n\\n\\n'):]\n removed = r'[\\n ]+'\n sent = re.sub(removed, ' ', sent)\n return sent.strip()","def _strip_text(text):\n text = re.sub(r'[ ,?:]|%s', \"\", text.lower())\n for chr in \"-%\":\n new_text = text.replace(chr, \"\")\n if new_text:\n text = new_text\n return text.lower()","def contents_without_whitespace(self):\n return self.contents.replace(' ', '').replace('\\n', '')","def process_text(text):\n text = re.sub(r'<@>\\s+|<s>\\s+|</s>\\s+|<p>\\s+|</p>\\s+|\\s+\\,|\\'s|\\'|\\;|\\(|\\)|\\-\\-\\s+|\\s+\\.', '', text)\n text = re.sub(r'\\.\\,', '. ,', text)\n text = re.sub(r'\\,', '', text)\n text = re.sub(r'\\$', '$ ', text)\n text = re.sub(r'\\%', ' %', text)\n text = re.sub(r'\\s\\\"\\s', ' ', text)\n text = re.sub(r'\\.\\s+', '. ', text)\n text = text.lower()\n return text","def space_strip(string):\n string= re.sub(\"(?m)^\\s+\", \"\", string)\n return re.sub(\"(?m)\\s+$\", \"\", string)","def beautify(text):\n text = re.sub('\\n{3,}', '\\n\\n', text)\n text = re.sub('\\n+$', '\\n', text)\n return text","def delete_whitespace(text: str) -> str:\n return re.sub(r'\\s+', '', text).strip()","def sanitize(text):\n #text = re.sub(r'[*]',r'\\*',text) \n text = re.sub(r'~',r'\\~',text) \n #text = re.sub(r'<',r'\\textless',text) \n #text = re.sub(r'>',r'\\textgreater',text) \n text = re.sub(r'\\|',r'\\|',text) \n text = re.sub(r'_',r'\\\\_',text) \n return text","def clean_unnecessary_characters(self, tweet):\n tweet = tweet.lstrip(\"\\\"\").rstrip(\"\\\"\")\n tweet = re.sub(self.compiledAlphanumericRegex, ' ', tweet)\n tweet = tweet.replace('_', ' ')\n return tweet","def remove_leading_blanks(self, sentence):\n pass","def clean_str_sst(string):\n string = re.sub(r\"[^A-Za-z0-9(),!?\\'\\`]\", \" \", string)\n string = re.sub(r\"\\s{2,}\", \" \", string)\n return string.strip().lower()","def remove_extra_space(text):\n return re.sub(' +', ' ', text)","def compress(clean):\n if clean is None:\n return None\n clean = re.sub(r'[\\r\\n\\t\\xa0]', ' ', clean)\n clean = re.sub(r' ?', ' ', clean)\n clean = re.sub(r'\\s+', ' ', clean)\n return clean.strip()","def clean_str_sst(string):\n string = re.sub(r\"[^A-Za-z0-9(),!?\\'\\`]\", \" \", string) \n string = re.sub(r\"\\s{2,}\", \" \", string) \n return string.strip().lower()","def remove_space(line):\n split_line = line.split()\n return \"\".join(split_line)","def normalize_whitespace(text):\n return NORMALIZE_WHITESPACE_REGEX.sub(' ', text)","def preprocess(self, s):\n stripped = re.sub(\"[^\\w\\s]\", \"\", s)\n stripped = re.sub(\"_\", \"\", stripped)\n\n stripped = re.sub(\"\\s+\", \" \", stripped)\n\n stripped = stripped.strip()\n\n return stripped.lower()","def sanitise(text: str):\n # Removes new lines, weird characters and dialogue\n text = \" \" + text + \" \"\n\n lined_text = text.split(\"\\n\")\n text = \"\"\n # Remove dialogue\n for line in lined_text:\n if \":\" in line:\n if line.index(\":\") < 15:\n index = line.index(\":\") + 1\n else:\n index = 0\n else:\n index = 0\n text = text + \"\\n\" + line[index:]\n\n # Lower case everything\n text = text.lower()\n\n text = text.replace(\"'s\", \" is\")\n text = text.replace(\"'ve\", \" have\")\n text = text.replace(\"n't\", \" not\")\n text = text.replace(\"I'm\", \"I am\")\n text = text.replace(\"'re\", \" are\")\n text = text.replace(\"’s\", \" is\")\n text = text.replace(\"’ve\", \" have\")\n text = text.replace(\"n’t\", \" not\")\n text = text.replace(\"I’m\", \"I am\")\n text = text.replace(\"’re\", \" are\")\n\n # Remove weird characters and double spaces\n weird_characters = [\".\", \",\", \"?\", \"!\", \"'\", \"’\", \"\\\"\", \"\\n\", \"\\t\", \"-\", \"/\", \"[\", \"]\", \"(\", \")\", \":\", \"“\", \"”\"]\n for weird_character in weird_characters:\n text = text.replace(weird_character, \" \")\n\n while \" \" in text:\n text = text.replace(\" \", \" \")\n\n return text","def condense_whitespace(css):\n log.debug(\"Condensing all unnecessary white spaces.\")\n return re.sub(r\"\\s+\", \" \", css)","def clean(val):\n\n val = re.sub(r'/s+', r'/s', val)\n return val.strip()","def clean_training_text(txt):\n return re.sub('[^A-Za-z0-9]+', ' ', str(txt)).strip()","def ignore_whitespace(a):\n WHITE_MAP = dict.fromkeys(ord(c) for c in string.whitespace)\n return a.translate(WHITE_MAP)","def remove_space(text):\n for space in spaces:\n text = text.replace(space, ' ')\n text = text.strip()\n text = re.sub('\\s+', ' ', text)\n return text","def remove_space(text):\n for space in spaces:\n text = text.replace(space, ' ')\n text = text.strip()\n text = re.sub('\\s+', ' ', text)\n return text","def condense_html_whitespace(html): # first space between tags, then empty new lines and in-between.\n log.debug(\"Removing unnecessary HTML White Spaces and Empty New Lines.\")\n is_ok = \"<textarea\" not in html.lower() and \"<pre\" not in html.lower()\n html = re.sub(r'>\\s+<', '> <', html) if is_ok else html\n return re.sub(r'\\s{2,}|[\\r\\n]', ' ', html) if is_ok else html.strip()","def removeWrongSpaces(self,phrase):\n if(\"normalizeText\" in self._classes):\n return self._normalize.wrongSpaces(phrase)","def remove_space(user_inputs):\r\n return user_inputs.replace(\" \", \"\")","def delete_whitespaces(str):\n global legal_white_spaces\n\n try:\n str_copy = str\n for i in legal_white_spaces:\n str_copy = str_copy.replace(i, '')\n return str_copy\n except Exception as e:\n print(e)\n return None","def remove_punctations_fun(self): \n self.doc = re.sub('[^a-zA-Z0-9]', ' ', self.doc)","def _get_whitespace(line):\n return line[:-len(line.lstrip())]","def remove_whitespace_rarity(s, i):\n text = s.replace(' ', '')\n if os.linesep.join([s for s in text.splitlines() if s]) == '':\n return('None')\n else:\n return(os.linesep.join([s for s in text.splitlines() if s]))","def cleanup (text) :\n l_idx = 1\n lines = text.split ('\\n')\n\n # count leading non-empty lines\n for line in lines :\n if not line.strip () :\n l_idx += 1\n else :\n break\n\n # check if there is anything more to evaluate\n if len (lines) <= l_idx :\n return text\n\n # determine indentation of that line\n indent = 0\n for c in lines[l_idx] :\n if c == ' ' :\n indent += 1\n else : \n break\n\n # if nothing found, check the following line\n if not indent :\n\n if len (lines) <= l_idx + 1:\n return text\n for c in lines[l_idx + 1] :\n if c == ' ' :\n indent += 1\n else : \n break\n\n # if still nothing found, give up\n if not indent :\n return text\n\n\n # oitherwise trim all lines by that indentation\n out = \"\"\n replace = ' ' * indent\n for line in lines :\n out += re.sub (\"%s\" % ' ' * indent, \"\", line)\n out += \"\\n\"\n\n return out"],"string":"[\n \"def clean_whitespace(text):\\n return text\\n #return re.sub(r'\\\\r\\\\n|\\\\n', \\\"\\\\t\\\", text)\",\n \"def removeSingleChars(self) -> None:\\n self.text = re.sub('\\\\s[^\\\\n\\\\s]\\\\s', ' ', self.text)\",\n \"def _removeWhitespaces(self, s):\\n return s.translate({ord(c): None for c in string.whitespace})\",\n \"def __stripEol(self, txt):\\n return txt.replace(\\\"\\\\r\\\", \\\"\\\").replace(\\\"\\\\n\\\", \\\"\\\")\",\n \"def clean(line):\\n line = line.lower().replace(\\\"\\\\n\\\",\\\" \\\").replace(\\\"\\\\r\\\",\\\"\\\").replace(',',\\\"\\\").replace(\\\">\\\",\\\"> \\\").replace(\\\"<\\\", \\\" <\\\").replace(\\\"|\\\",\\\" \\\")\\n return line\",\n \"def _text_remove_s(all_text):\\n\\t# on n'agit que s'il y a au moins un cara plein\\n\\t\\t# => pas les elts vides, ni \\\\s dont saut de ligne\\n\\tif len(all_text) and search('[^\\\\s]', all_text, flags=MULTILINE):\\n\\t\\tflat_alltext = sub(r'\\\\n', '¤', all_text, flags=MULTILINE)\\n\\t\\tflat_alltext = sub(r'[¤\\\\s]+$', '', flat_alltext)\\n\\t\\tflat_alltext = sub(r'^[¤\\\\s]+', '', flat_alltext)\\n\\telse:\\n\\t\\tflat_alltext = ''\\n\\treturn flat_alltext\",\n \"def _clean(s):\\n return re.sub(r'\\\\s+', ' ', s.strip())\",\n \"def strip_space():\\n pass\",\n \"def strip_other_charcter():\\n pass\",\n \"def clean(text):\\n new = text.replace(\\\"\\\\r\\\", \\\"\\\")\\n new = new.replace(\\\"\\\\t\\\", \\\"\\\")\\n new = new.replace(\\\"\\\\n\\\", \\\"\\\")\\n new = new.replace(\\\"- \\\", \\\"-\\\")\\n new = new.replace(\\\" \\\", \\\" \\\")\\n return new\",\n \"def _preprocess(self, source):\\n source = source.replace(u'\\\\n', u'').strip()\\n source = re.sub(r'<br\\\\s*\\\\/?\\\\s*>', u' ', source, re.I)\\n source = re.sub(r'\\\\s\\\\s+', u' ', source)\\n return source\",\n \"def _remove_whitespaces(self, text: str) -> str:\\n return \\\" \\\".join(re.sub(\\\"\\\\xa0\\\", \\\" \\\", str(text)).split())\",\n \"def clean_text(text):\\n return(re.sub(\\\" {2,}|\\\\r|\\\\n\\\",\\\"\\\", text))\",\n \"def normalize_whitespace(text):\\n return RE_NONBREAKING_SPACE.sub(\\\" \\\", RE_LINEBREAK.sub(r\\\"\\\\n\\\", text)).strip()\",\n \"def _remove_left_padded_special_chars(self, text: str) -> str:\\n pattern = re.compile(\\\"\\\\ +[^A-Za-z0-9\\\\n]\\\")\\n text = re.sub(pattern, \\\" \\\", text)\\n return text\",\n \"def filter_blanks(user, str):\\n return re.sub(r'\\\\n{2}\\\\n+', '\\\\n', str)\",\n \"def _clean(self, string):\\n return re.sub('\\\\s+', ' ', string).strip()\",\n \"def clean_text(text):\\n return text.replace('\\\\n', ' ').replace('\\\\r', ' ')\",\n \"def clean_header(klass, s):\\n return re.sub(r\\\"[\\\\n\\\\r\\\\t]+\\\", \\\" \\\", s).strip()\",\n \"def del_whitespace(selfs, text):\\n\\t\\treturn text.replace(' ', '')\",\n \"def remove_whitespaces(text: str) -> str:\\n return text.lstrip().rstrip()\",\n \"def normalize(s):\\n return s.strip(inline_whitespace)\",\n \"def remove_excess_white_space(lines: str):\\n two_plus_white_space = r\\\"\\\\s{2,}\\\"\\n return re.sub(two_plus_white_space, \\\"\\\", lines)\",\n \"def preprocess(x):\\n\\n\\tres = re.sub(r'[^\\\\w\\\\s]', '', x)\\n\\tres = res.strip('\\\\n')\\n\\n\\treturn res\",\n \"def _StripWS(s):\\r\\n return re.sub('\\\\s+', '', s)\",\n \"def _StripWS(s):\\r\\n return re.sub('\\\\s+', '', s)\",\n \"def removeSpecialChars(self) -> None:\\n self.text = re.sub('[^a-zA-z0-9\\\\n\\\\.\\\\s]', '', self.text)\",\n \"def _remove_extra_whitespaces(self, text: str) -> str:\\n return re.sub(\\\" +\\\", \\\" \\\", text)\",\n \"def desc_cleanser(self, txt):\\n # New line issues\\n txt = re.sub(r'\\\\\\\\n', r' ', txt)\\n # Unicode cleanse\\n txt = re.sub(r'\\\\\\\\u[\\\\d]{4}', r'', txt)\\n # Remaining unicode cleanse\\n txt = re.sub(r'\\\\\\\\{1,2}\\\\S+', r' ', txt)\\n # Remove remaining non-alphanumeric and spaces\\n txt = ''.join([i for i in txt if i.isalnum() or i.isspace() or i in ['.','?','!']])\\n # Remove more than a single space\\n txt = re.sub(r'\\\\s+', r' ', txt)\\n\\n return txt\",\n \"def removeExtraSpaces(self, words):\\n\\t\\treturn re.sub(r'\\\\s+', ' ', words.strip()).strip()\",\n \"def remove_noise(text):\\n text1 = re.sub(\\\"[\\\\t\\\\r\\\\s]\\\", \\\" \\\",text)\\n text1 = \\\" \\\" + text1\\n text2 = re.sub(r\\\"([ \\\" + string.punctuation + \\\"]+)[^a-zA-Z ]+\\\", \\\"\\\\g<1> \\\", text1)\\n return text2\",\n \"def removeMultipleSpaces(self) -> None:\\n self.text = re.sub('\\\\s+', ' ', self.text)\",\n \"def strip_whitespace(self, text):\\n\\t\\treturn text.strip()\",\n \"def normalize(self, what):\\n txt = strippedtxt(what, [\\\"\\\\002\\\", \\\"\\\\003\\\"])\\n txt = re.sub(\\\"\\\\s+\\\", \\\" \\\", what)\\n txt = stripcolor(txt)\\n txt = txt.replace(\\\"\\\\002\\\", \\\"*\\\")\\n txt = txt.replace(\\\"<b>\\\", \\\"*\\\")\\n txt = txt.replace(\\\"</b>\\\", \\\"*\\\")\\n txt = txt.replace(\\\"<i>\\\", \\\"\\\")\\n txt = txt.replace(\\\"</i>\\\", \\\"\\\")\\n txt = txt.replace(\\\"<b>\\\", \\\"*\\\")\\n txt = txt.replace(\\\"</b>\\\", \\\"*\\\")\\n txt = txt.replace(\\\"<i>\\\", \\\"\\\")\\n txt = txt.replace(\\\"</i>\\\", \\\"\\\")\\n return txt\",\n \"def _clean_text(self, text):\\n output = []\\n for char in text:\\n cp = ord(char)\\n if cp == 0 or cp == 0xFFFD or _is_control(char):\\n continue # pragma: no cover\\n if _is_whitespace(char):\\n output.append(\\\" \\\")\\n else:\\n output.append(char)\\n return \\\"\\\".join(output)\",\n \"def _sanitize(text):\\n # TODO: any cleanup needed here?\\n if text is None:\\n return None\\n text = text.replace('\\\\n', ' ')\\n return text\",\n \"def filter_blanks(user, str):\\n if user.is_staff:\\n return str\\n return re.sub(r'\\\\n{2}\\\\n+', '\\\\n', str)\",\n \"def _squeeze_whitespace(text):\\n return re.sub(r'\\\\s+', ' ', text)\",\n \"def clean_text ( self, text ) :\\n text = BeautifulSoup ( text , \\\"lxml\\\" ).text # HTML decoding\\n text = text.lower ( ) # lowercase text\\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\\n return text\",\n \"def clean_text ( self, text ) :\\n text = BeautifulSoup ( text , \\\"lxml\\\" ).text # HTML decoding\\n text = text.lower ( ) # lowercase text\\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\\n return text\",\n \"def clean_text ( self, text ) :\\n text = BeautifulSoup ( text , \\\"lxml\\\" ).text # HTML decoding\\n text = text.lower ( ) # lowercase text\\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\\n return text\",\n \"def clean_text ( self, text ) :\\n text = BeautifulSoup ( text , \\\"lxml\\\" ).text # HTML decoding\\n text = text.lower ( ) # lowercase text\\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\\n return text\",\n \"def clean_text ( self, text ) :\\n text = BeautifulSoup ( text , \\\"lxml\\\" ).text # HTML decoding\\n text = text.lower ( ) # lowercase text\\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\\n return text\",\n \"def clean_text ( self, text ) :\\n text = BeautifulSoup ( text , \\\"lxml\\\" ).text # HTML decoding\\n text = text.lower ( ) # lowercase text\\n text = REPLACE_BY_SPACE_RE.sub ( ' ' , text ) # replace REPLACE_BY_SPACE_RE symbols by space in text\\n text = BAD_SYMBOLS_RE.sub ( '' , text ) # delete symbols which are in BAD_SYMBOLS_RE from text\\n text = ' '.join ( word for word in text.split ( ) if word not in STOPWORDS ) # delete stopwors from text\\n return text\",\n \"def normalize_whitespace(text):\\n text = str(text)\\n return re.sub(white_space_regex, ' ', text).strip()\",\n \"def clean_text_from_nonbasic_characters(text):\\n text = re.sub(r\\\"([^\\\\u0000-\\\\u007F])\\\", \\\" \\\", text)\\n text = replace_newline_with_space(text).strip()\\n text = text.replace(\\\"_\\\", \\\"\\\")\\n text = clean_text_from_multiple_consecutive_whitespaces(text)\\n return text\",\n \"def clean_text_from_nonbasic_characters(text):\\n text = re.sub(r\\\"([^\\\\u0000-\\\\u007F])\\\", \\\" \\\", text)\\n text = replace_newline_with_space(text).strip()\\n text = text.replace(\\\"_\\\", \\\"\\\")\\n text = clean_text_from_multiple_consecutive_whitespaces(text)\\n return text\",\n \"def nettoie(txt):\\n\\ttxt = re.sub(\\\"\\\\s*$\\\",\\\"\\\",txt)\\n\\ttxt = re.sub(\\\"^\\\\s*\\\",\\\"\\\",txt)\\n\\treturn txt\",\n \"def __cleanText(self,stripNonAlphaNumeric=False, stripNumbers=False):\\n if stripNonAlphaNumeric:\\n txt = r1.sub(\\\" \\\",self.getRawText() )\\n else:\\n txt = self.getRawText()\\n # clean up white spaces\\n txt = r2.sub(\\\" \\\",txt)\\n if stripNumbers:\\n txt = r3.sub(\\\"\\\",txt)\\n self.graph[\\\"__txt\\\"] = txt\\n self.graph[\\\"__scope\\\"] = (0,len(txt))\",\n \"def cleanup_sentence(s):\\n return re.sub(\\\"\\\\s+\\\", \\\" \\\", s.replace(\\\"\\\\t\\\", \\\"\\\").strip())\",\n \"def remove_bad_characters(self):\\n\\n self.categorie_name = self.categorie_name.replace(\\\"\\\\n\\\", \\\"\\\")\",\n \"def minimalTextCleaning(row, field):\\n\\n # force encoding\\n encoded_text = row[field].encode(encoding = 'ascii',errors = 'replace')\\n decoded_text = encoded_text.decode(encoding='ascii',errors='strict')\\n remove_funky_chars = str(decoded_text).replace(\\\"?\\\", \\\" \\\")\\n lower_case = str(remove_funky_chars).lower().strip()\\n\\n # strip redundant whitespace\\n cleaned_text = re.sub(' +', ' ', lower_case)\\n\\n\\n # strip signature lines\\n cleaned_text = cleaned_text.replace(\\\"_\\\", \\\"\\\")\\n\\n return cleaned_text\",\n \"def clean_unnecessary_whitespaces(self, tweet):\\n tweet = ' '.join(tweet.split())\\n\\n return tweet\",\n \"def clean_text(some_text):\\n # import re\\n some_clean_text = re.sub(r'\\\\n|\\\\t', '', some_text) # Remove new line and tabs\\n some_clean_text = re.sub(' +', ' ', some_clean_text) # Replace multiple spaces with one space\\n return some_clean_text\",\n \"def clean_up(sentence):\\n\\treturn unicode(sentence.strip().replace(\\\"\\\\n\\\", \\\"\\\"), errors='ignore').strip().replace(\\\"\\\\x0c\\\", \\\"\\\")\",\n \"def clean_text(data):\\r\\n data = data.replace('\\\\n', ' ') #remove new lines\\r\\n replace_l = [\\\"'\\\",'!','/','\\\\\\\\','=',',',':', '<','>','?','.','\\\"',')','(','|','-','#','*','+', '_'] #list of characters to remove\\r\\n data = data.lower() #Convert all the words to lower case\\r\\n for i in replace_l:\\r\\n data = data.replace(i,' ') #replace words with blank character\\r\\n return data #return clean data\\r\",\n \"def remove_extra_space(text):\\n text = \\\" \\\".join(text.split())\\n return text\",\n \"def removeExtraSpaces(text):\\n\\tone_space = re.sub(r'\\\\s+',' ', text)\\n\\treturn one_space\",\n \"def stripFormatting(self, s):\\n # stripColor has to go first because of some strings, check the tests.\\n s = stripColor(s)\\n s = stripBold(s)\\n s = stripReverse(s)\\n s = stripUnderline(s)\\n return s.replace('\\\\x0f', '').replace('\\\\x0F', '')\",\n \"def squeeze(value):\\r\\n return re.sub(r\\\"[\\\\x00-\\\\x20]+\\\", \\\" \\\", value).strip()\",\n \"def clean(text):\\n return re.sub(REGEX, \\\"\\\", text).strip() + \\\"\\\\n\\\"\",\n \"def _clean_text(self, text):\\n output = []\\n for char in text:\\n cp = ord(char)\\n if cp == 0 or cp == 65533 or _is_control(char):\\n continue\\n if _is_whitespace(char):\\n output.append(' ')\\n else:\\n output.append(char)\\n return ''.join(output)\",\n \"def normalize_text(text):\\n text = re.sub(r'[ \\\\t]+', ' ', text)\\n text = re.sub(r'\\\\r', '', text)\\n\\n # Remove whitespace in the middle of text.\\n text = re.sub(r'[ \\\\t]+\\\\n', '\\\\n', text)\\n # Remove whitespace at the end of the text.\\n text = text.rstrip()\\n\\n return text\",\n \"def _clean_text(self, text):\\n output = []\\n for char in text:\\n cp = ord(char)\\n if cp == 0 or cp == 0xfffd or _is_control(char):\\n continue\\n if _is_whitespace(char):\\n output.append(\\\" \\\")\\n else:\\n output.append(char)\\n return \\\"\\\".join(output)\",\n \"def clean(line):\\n line = line.strip('\\\\n').strip()\\n line = line.replace('\\\\xe2\\\\x80\\\\x93', '-')\\n line = line.replace('\\\\xe2\\\\x80\\\\x99', '\\\\'')\\n\\n return line\",\n \"def cleanSents(row, field):\\n\\n text = str(row[field]).lower()\\n clean_text = re.sub('[^A-Za-z0-9]+', ' ', text).strip()\\n return clean_text\",\n \"def _prepare_text(body):\\n text = body.lower()\\n text = text.replace('\\\\n', ' ')\\n regex = re.compile('[^a-z ]')\\n return regex.sub('', text)\",\n \"def clean_text(text):\\n\\n\\n regex = re.compile('[\\\\.|\\\\-|\\\\,|\\\\?|\\\\_|\\\\:|\\\\\\\"|\\\\)|\\\\(\\\\)\\\\/|\\\\\\\\|\\\\>|\\\\<]')\\n text = text.lower() # Turn everything to lower case\\n text = regex.sub(' ', text).strip()\\n out = re.sub(' +', ' ', text) # Reduce whitespace down to one\\n \\n return out\",\n \"def small_preprocess(data):\\r\\n \\r\\n # Remove new line characters\\r\\n data = [re.sub('\\\\s+', ' ', sent) for sent in data]\\r\\n # Remove distracting single quotes\\r\\n data = [re.sub(\\\"\\\\'\\\", \\\"\\\", sent) for sent in data]\\r\\n\\r\\n return data\",\n \"def _normalize_sentence(sent):\\n #sent = sent[sent.find('\\\\n\\\\n\\\\n'):]\\n removed = r'[\\\\n ]+'\\n sent = re.sub(removed, ' ', sent)\\n return sent.strip()\",\n \"def _strip_text(text):\\n text = re.sub(r'[ ,?:]|%s', \\\"\\\", text.lower())\\n for chr in \\\"-%\\\":\\n new_text = text.replace(chr, \\\"\\\")\\n if new_text:\\n text = new_text\\n return text.lower()\",\n \"def contents_without_whitespace(self):\\n return self.contents.replace(' ', '').replace('\\\\n', '')\",\n \"def process_text(text):\\n text = re.sub(r'<@>\\\\s+|<s>\\\\s+|</s>\\\\s+|<p>\\\\s+|</p>\\\\s+|\\\\s+\\\\,|\\\\'s|\\\\'|\\\\;|\\\\(|\\\\)|\\\\-\\\\-\\\\s+|\\\\s+\\\\.', '', text)\\n text = re.sub(r'\\\\.\\\\,', '. ,', text)\\n text = re.sub(r'\\\\,', '', text)\\n text = re.sub(r'\\\\$', '$ ', text)\\n text = re.sub(r'\\\\%', ' %', text)\\n text = re.sub(r'\\\\s\\\\\\\"\\\\s', ' ', text)\\n text = re.sub(r'\\\\.\\\\s+', '. ', text)\\n text = text.lower()\\n return text\",\n \"def space_strip(string):\\n string= re.sub(\\\"(?m)^\\\\s+\\\", \\\"\\\", string)\\n return re.sub(\\\"(?m)\\\\s+$\\\", \\\"\\\", string)\",\n \"def beautify(text):\\n text = re.sub('\\\\n{3,}', '\\\\n\\\\n', text)\\n text = re.sub('\\\\n+$', '\\\\n', text)\\n return text\",\n \"def delete_whitespace(text: str) -> str:\\n return re.sub(r'\\\\s+', '', text).strip()\",\n \"def sanitize(text):\\n #text = re.sub(r'[*]',r'\\\\*',text) \\n text = re.sub(r'~',r'\\\\~',text) \\n #text = re.sub(r'<',r'\\\\textless',text) \\n #text = re.sub(r'>',r'\\\\textgreater',text) \\n text = re.sub(r'\\\\|',r'\\\\|',text) \\n text = re.sub(r'_',r'\\\\\\\\_',text) \\n return text\",\n \"def clean_unnecessary_characters(self, tweet):\\n tweet = tweet.lstrip(\\\"\\\\\\\"\\\").rstrip(\\\"\\\\\\\"\\\")\\n tweet = re.sub(self.compiledAlphanumericRegex, ' ', tweet)\\n tweet = tweet.replace('_', ' ')\\n return tweet\",\n \"def remove_leading_blanks(self, sentence):\\n pass\",\n \"def clean_str_sst(string):\\n string = re.sub(r\\\"[^A-Za-z0-9(),!?\\\\'\\\\`]\\\", \\\" \\\", string)\\n string = re.sub(r\\\"\\\\s{2,}\\\", \\\" \\\", string)\\n return string.strip().lower()\",\n \"def remove_extra_space(text):\\n return re.sub(' +', ' ', text)\",\n \"def compress(clean):\\n if clean is None:\\n return None\\n clean = re.sub(r'[\\\\r\\\\n\\\\t\\\\xa0]', ' ', clean)\\n clean = re.sub(r' ?', ' ', clean)\\n clean = re.sub(r'\\\\s+', ' ', clean)\\n return clean.strip()\",\n \"def clean_str_sst(string):\\n string = re.sub(r\\\"[^A-Za-z0-9(),!?\\\\'\\\\`]\\\", \\\" \\\", string) \\n string = re.sub(r\\\"\\\\s{2,}\\\", \\\" \\\", string) \\n return string.strip().lower()\",\n \"def remove_space(line):\\n split_line = line.split()\\n return \\\"\\\".join(split_line)\",\n \"def normalize_whitespace(text):\\n return NORMALIZE_WHITESPACE_REGEX.sub(' ', text)\",\n \"def preprocess(self, s):\\n stripped = re.sub(\\\"[^\\\\w\\\\s]\\\", \\\"\\\", s)\\n stripped = re.sub(\\\"_\\\", \\\"\\\", stripped)\\n\\n stripped = re.sub(\\\"\\\\s+\\\", \\\" \\\", stripped)\\n\\n stripped = stripped.strip()\\n\\n return stripped.lower()\",\n \"def sanitise(text: str):\\n # Removes new lines, weird characters and dialogue\\n text = \\\" \\\" + text + \\\" \\\"\\n\\n lined_text = text.split(\\\"\\\\n\\\")\\n text = \\\"\\\"\\n # Remove dialogue\\n for line in lined_text:\\n if \\\":\\\" in line:\\n if line.index(\\\":\\\") < 15:\\n index = line.index(\\\":\\\") + 1\\n else:\\n index = 0\\n else:\\n index = 0\\n text = text + \\\"\\\\n\\\" + line[index:]\\n\\n # Lower case everything\\n text = text.lower()\\n\\n text = text.replace(\\\"'s\\\", \\\" is\\\")\\n text = text.replace(\\\"'ve\\\", \\\" have\\\")\\n text = text.replace(\\\"n't\\\", \\\" not\\\")\\n text = text.replace(\\\"I'm\\\", \\\"I am\\\")\\n text = text.replace(\\\"'re\\\", \\\" are\\\")\\n text = text.replace(\\\"’s\\\", \\\" is\\\")\\n text = text.replace(\\\"’ve\\\", \\\" have\\\")\\n text = text.replace(\\\"n’t\\\", \\\" not\\\")\\n text = text.replace(\\\"I’m\\\", \\\"I am\\\")\\n text = text.replace(\\\"’re\\\", \\\" are\\\")\\n\\n # Remove weird characters and double spaces\\n weird_characters = [\\\".\\\", \\\",\\\", \\\"?\\\", \\\"!\\\", \\\"'\\\", \\\"’\\\", \\\"\\\\\\\"\\\", \\\"\\\\n\\\", \\\"\\\\t\\\", \\\"-\\\", \\\"/\\\", \\\"[\\\", \\\"]\\\", \\\"(\\\", \\\")\\\", \\\":\\\", \\\"“\\\", \\\"”\\\"]\\n for weird_character in weird_characters:\\n text = text.replace(weird_character, \\\" \\\")\\n\\n while \\\" \\\" in text:\\n text = text.replace(\\\" \\\", \\\" \\\")\\n\\n return text\",\n \"def condense_whitespace(css):\\n log.debug(\\\"Condensing all unnecessary white spaces.\\\")\\n return re.sub(r\\\"\\\\s+\\\", \\\" \\\", css)\",\n \"def clean(val):\\n\\n val = re.sub(r'/s+', r'/s', val)\\n return val.strip()\",\n \"def clean_training_text(txt):\\n return re.sub('[^A-Za-z0-9]+', ' ', str(txt)).strip()\",\n \"def ignore_whitespace(a):\\n WHITE_MAP = dict.fromkeys(ord(c) for c in string.whitespace)\\n return a.translate(WHITE_MAP)\",\n \"def remove_space(text):\\n for space in spaces:\\n text = text.replace(space, ' ')\\n text = text.strip()\\n text = re.sub('\\\\s+', ' ', text)\\n return text\",\n \"def remove_space(text):\\n for space in spaces:\\n text = text.replace(space, ' ')\\n text = text.strip()\\n text = re.sub('\\\\s+', ' ', text)\\n return text\",\n \"def condense_html_whitespace(html): # first space between tags, then empty new lines and in-between.\\n log.debug(\\\"Removing unnecessary HTML White Spaces and Empty New Lines.\\\")\\n is_ok = \\\"<textarea\\\" not in html.lower() and \\\"<pre\\\" not in html.lower()\\n html = re.sub(r'>\\\\s+<', '> <', html) if is_ok else html\\n return re.sub(r'\\\\s{2,}|[\\\\r\\\\n]', ' ', html) if is_ok else html.strip()\",\n \"def removeWrongSpaces(self,phrase):\\n if(\\\"normalizeText\\\" in self._classes):\\n return self._normalize.wrongSpaces(phrase)\",\n \"def remove_space(user_inputs):\\r\\n return user_inputs.replace(\\\" \\\", \\\"\\\")\",\n \"def delete_whitespaces(str):\\n global legal_white_spaces\\n\\n try:\\n str_copy = str\\n for i in legal_white_spaces:\\n str_copy = str_copy.replace(i, '')\\n return str_copy\\n except Exception as e:\\n print(e)\\n return None\",\n \"def remove_punctations_fun(self): \\n self.doc = re.sub('[^a-zA-Z0-9]', ' ', self.doc)\",\n \"def _get_whitespace(line):\\n return line[:-len(line.lstrip())]\",\n \"def remove_whitespace_rarity(s, i):\\n text = s.replace(' ', '')\\n if os.linesep.join([s for s in text.splitlines() if s]) == '':\\n return('None')\\n else:\\n return(os.linesep.join([s for s in text.splitlines() if s]))\",\n \"def cleanup (text) :\\n l_idx = 1\\n lines = text.split ('\\\\n')\\n\\n # count leading non-empty lines\\n for line in lines :\\n if not line.strip () :\\n l_idx += 1\\n else :\\n break\\n\\n # check if there is anything more to evaluate\\n if len (lines) <= l_idx :\\n return text\\n\\n # determine indentation of that line\\n indent = 0\\n for c in lines[l_idx] :\\n if c == ' ' :\\n indent += 1\\n else : \\n break\\n\\n # if nothing found, check the following line\\n if not indent :\\n\\n if len (lines) <= l_idx + 1:\\n return text\\n for c in lines[l_idx + 1] :\\n if c == ' ' :\\n indent += 1\\n else : \\n break\\n\\n # if still nothing found, give up\\n if not indent :\\n return text\\n\\n\\n # oitherwise trim all lines by that indentation\\n out = \\\"\\\"\\n replace = ' ' * indent\\n for line in lines :\\n out += re.sub (\\\"%s\\\" % ' ' * indent, \\\"\\\", line)\\n out += \\\"\\\\n\\\"\\n\\n return out\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7512734","0.74011576","0.73931","0.7392397","0.72668093","0.7214466","0.71911186","0.7189776","0.7180525","0.7179743","0.7165845","0.7156132","0.71512353","0.7145525","0.7124246","0.71108913","0.7079354","0.7075042","0.7049608","0.70375574","0.70324016","0.70268047","0.69995093","0.6973071","0.6972633","0.6972633","0.6957147","0.6936454","0.6904599","0.6901697","0.68713796","0.68699074","0.6836482","0.68284476","0.682784","0.68179494","0.6817711","0.6816334","0.68088067","0.68088067","0.68088067","0.68088067","0.68088067","0.68088067","0.6786209","0.6784271","0.6784271","0.6779845","0.6777643","0.67752707","0.6775228","0.67683667","0.6764328","0.67598724","0.6752985","0.6741228","0.67225206","0.67099327","0.66986537","0.6690691","0.66860664","0.66827697","0.6680997","0.66781086","0.66588366","0.66416764","0.6634148","0.66260165","0.6620707","0.6609784","0.6604082","0.66037244","0.66019505","0.659851","0.6581036","0.657661","0.65764636","0.6570051","0.6569737","0.6567583","0.6554824","0.65533805","0.65526503","0.6551628","0.6547114","0.65348315","0.65328324","0.65221274","0.6514295","0.6514276","0.6513179","0.6507781","0.6507781","0.6507526","0.65050936","0.6503118","0.65017754","0.6500353","0.64957565","0.6491724","0.6489201"],"string":"[\n \"0.7512734\",\n \"0.74011576\",\n \"0.73931\",\n \"0.7392397\",\n \"0.72668093\",\n \"0.7214466\",\n \"0.71911186\",\n \"0.7189776\",\n \"0.7180525\",\n \"0.7179743\",\n \"0.7165845\",\n \"0.7156132\",\n \"0.71512353\",\n \"0.7145525\",\n \"0.7124246\",\n \"0.71108913\",\n \"0.7079354\",\n \"0.7075042\",\n \"0.7049608\",\n \"0.70375574\",\n \"0.70324016\",\n \"0.70268047\",\n \"0.69995093\",\n \"0.6973071\",\n \"0.6972633\",\n \"0.6972633\",\n \"0.6957147\",\n \"0.6936454\",\n \"0.6904599\",\n \"0.6901697\",\n \"0.68713796\",\n \"0.68699074\",\n \"0.6836482\",\n \"0.68284476\",\n \"0.682784\",\n \"0.68179494\",\n \"0.6817711\",\n \"0.6816334\",\n \"0.68088067\",\n \"0.68088067\",\n \"0.68088067\",\n \"0.68088067\",\n \"0.68088067\",\n \"0.68088067\",\n \"0.6786209\",\n \"0.6784271\",\n \"0.6784271\",\n \"0.6779845\",\n \"0.6777643\",\n \"0.67752707\",\n \"0.6775228\",\n \"0.67683667\",\n \"0.6764328\",\n \"0.67598724\",\n \"0.6752985\",\n \"0.6741228\",\n \"0.67225206\",\n \"0.67099327\",\n \"0.66986537\",\n \"0.6690691\",\n \"0.66860664\",\n \"0.66827697\",\n \"0.6680997\",\n \"0.66781086\",\n \"0.66588366\",\n \"0.66416764\",\n \"0.6634148\",\n \"0.66260165\",\n \"0.6620707\",\n \"0.6609784\",\n \"0.6604082\",\n \"0.66037244\",\n \"0.66019505\",\n \"0.659851\",\n \"0.6581036\",\n \"0.657661\",\n \"0.65764636\",\n \"0.6570051\",\n \"0.6569737\",\n \"0.6567583\",\n \"0.6554824\",\n \"0.65533805\",\n \"0.65526503\",\n \"0.6551628\",\n \"0.6547114\",\n \"0.65348315\",\n \"0.65328324\",\n \"0.65221274\",\n \"0.6514295\",\n \"0.6514276\",\n \"0.6513179\",\n \"0.6507781\",\n \"0.6507781\",\n \"0.6507526\",\n \"0.65050936\",\n \"0.6503118\",\n \"0.65017754\",\n \"0.6500353\",\n \"0.64957565\",\n \"0.6491724\",\n \"0.6489201\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":91295,"cells":{"query":{"kind":"string","value":"calls the 'source()' method of the current (user folder) conanfile.py"},"document":{"kind":"string","value":"def source(self, path, name=None, version=None, user=None, channel=None):\n app = ConanApp(self._conan_api.cache_folder)\n conanfile = app.loader.load_consumer(path, name=name, version=version,\n user=user, channel=channel, graph_lock=None)\n # This profile is empty, but with the conf from global.conf\n profile = self._conan_api.profiles.get_profile([])\n initialize_conanfile_profile(conanfile, profile, profile, CONTEXT_HOST, False)\n # This is important, otherwise the ``conan source`` doesn't define layout and fails\n if hasattr(conanfile, \"layout\"):\n with conanfile_exception_formatter(conanfile, \"layout\"):\n conanfile.layout()\n\n folder = conanfile.recipe_folder\n conanfile.folders.set_base_source(folder)\n conanfile.folders.set_base_export_sources(folder)\n conanfile.folders.set_base_recipe_metadata(os.path.join(folder, \"metadata\"))\n conanfile.folders.set_base_build(None)\n conanfile.folders.set_base_package(None)\n\n app = ConanApp(self._conan_api.cache_folder)\n run_source_method(conanfile, app.hook_manager)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def source(self):\n return some.dap.source(py.path.local(self.co_filename))","def source(something):\n # How to source? It's impossible. It's like: we fork, run bash, run\n # ourselves in the environment set up by Bash.\n raise NotImplementedError('Impossible.')","def do_source(self, line):\n\n if self.root_directory:\n self.source_file = self.root_directory + \"/\" + line\n self.do_check_file(self.source_file)\n else:\n self.source_file = line\n self.do_check_file(self.source_file)","def _getscriptsource(self):\n\t\tscriptname = misc.sysinfo.script_name.rstrip(\"c\")\n\t\ttry:\n\t\t\tencoding = tokenize.detect_encoding(open(scriptname, \"rb\").readline)[0]\n\t\t\twith open(scriptname, \"r\", encoding=encoding, errors=\"replace\") as f:\n\t\t\t\tself.source = f.read()\n\t\texcept IOError: # Script might have called ``os.chdir()`` before\n\t\t\tself.source = None","def main(source):\n pass","async def source(self, ctx):\n \"\"\" Check out my source code <3 \"\"\"\n # Do not remove this command, this has to stay due to the GitHub LICENSE.\n # TL:DR, you have to disclose source according to MIT.\n # Reference: https://github.com/AlexFlipnote/discord_bot.py/blob/master/LICENSE\n await ctx.send(f\"**{ctx.bot.user}** is powered by this source code:\\nhttps://github.com/AlexFlipnote/discord_bot.py With modifications by user: snow-blade\")","def getSource():","def do_source(self, args):\n self.source = int(args)","async def source(self, ctx: commands.Context, *, command):\n cmd = self.bot.get_command(command)\n if not cmd:\n return await ctx.send(f\"I don't have a command with name `{command}`.\")\n\n lines = []\n for line in inspect.getsourcelines(cmd.callback)[0]:\n line = line.rstrip().replace('```', '`\\u200b`\\u200b`')\n if line.startswith(' '):\n line = line[4:]\n lines.append(line)\n output = '\\n'.join(lines)\n await ctx.send(f\"```py\\n{output}```\")","async def source(self, ctx, command: str = None):\n\n source_url = \"https://github.com/Zeniath/Non-Don-Tools\"\n if command is None:\n return await ctx.send(source_url)\n \n\n obj = self.bot.get_command(command.replace('.', ' '))\n if obj is None:\n return await ctx.send('Could not find command.')\n\n src = obj.callback.__code__\n lines, firstlineno = inspect.getsourcelines(src)\n if not obj.callback.__module__.startswith('discord'):\n location = os.path.relpath(src.co_filename).replace('\\\\', '/')\n else:\n location = obj.callback.__module__.replace('.', '/') + '.py'\n source_url = \"https://github.com/Zeniath/Non-Don-Tools\"\n\n await ctx.send(f\"<{source_url}/tree/master/{location}/#L{firstlineno}-L{firstlineno + len(lines) - 1}>\")","def activate_source(self):\n pass","def setSourceFile(filename):","async def source(self, ctx: Context, *, command: commands.Command = None):\n if command is None:\n return await ctx.send(BOT_CONFIG.REPOSITORY_URL) # type: ignore\n\n if command.name == 'help':\n code = type(self.bot.help_command)\n\n else:\n code = command.callback.__code__\n\n filename: str = inspect.getsourcefile(code) # type: ignore\n filename = str(pathlib.Path(filename).relative_to(pathlib.Path.cwd())).replace('\\\\', '/')\n\n lines, first_line = inspect.getsourcelines(code)\n\n last_line = first_line + len(lines) - 1\n await ctx.send(f'{BOT_CONFIG.REPOSITORY_URL}/blob/master/{filename}#L{first_line}-#L{last_line}') # type: ignore","async def source(ctx, command: Option(str, \"The command to view the source code for\", required=False)):\n source_url = 'https://github.com/Pycord-Development/robocord'\n branch = 'main'\n view = discord.ui.View()\n if command is None:\n url = source_url\n label = \"Source code for entire bot\"\n else:\n command_split = command.split()\n index = 0\n obj = discord.utils.get(bot.application_commands.values(), name=command_split[index])\n while isinstance(obj, SlashCommandGroup):\n if index + 1 > len(command_split):\n return await ctx.respond(\"Error: Command is a group. You must choose a subcommand from it.\")\n obj = discord.utils.get(obj.subcommands, name=command_split[index])\n if not isinstance(obj, SlashCommand):\n return await ctx.respond(\"Error: Command could not be found\")\n # noinspection PyUnresolvedReferences\n src = obj.callback.__code__\n filename = src.co_filename\n lines, firstlineno = inspect.getsourcelines(src)\n location = os.path.relpath(filename).replace('\\\\', '/')\n\n url = f'{source_url}/blob/{branch}/{location}#L{firstlineno}-L{firstlineno + len(lines) - 1}'\n content = await discord.ext.commands.clean_content(escape_markdown=True).convert(ctx, command)\n label = f'Source code for command \"{content}\"'\n view.add_item(discord.ui.Button(label=\"View Code\", url=url))\n await ctx.respond(label, view=view)","async def source(self, ctx, *, command: str = None):\n\n source_url = 'https://github.com/Discord-Bots-Italia/public-bot-py'\n branch = 'master'\n\n if command is None:\n return await ctx.send(source_url)\n\n else:\n obj = self.bot.get_command(command.replace('.', ' '))\n if obj is None:\n return await ctx.send('Could not find command.')\n\n # since we found the command we're looking for, presumably anyway, let's\n # try to access the code itself\n src = obj.callback.__code__\n module = obj.callback.__module__\n filename = src.co_filename\n\n lines, firstlineno = inspect.getsourcelines(src)\n location = os.path.relpath(filename).replace('\\\\', '/')\n\n final_url = f'<{source_url}/blob/{branch}/{location}#L{firstlineno}-L{firstlineno + len(lines) - 1}>'\n await ctx.send(final_url)","async def _botsource(self, ctx):\r\n source_link = \"https://github.com/Simalary/SimsVIP.Servo\"\r\n await self.bot.say('{0.message.author.mention}, my source code is available at <{1}>.'.format(ctx, source_link))","def source(self, irc, msg, args):\n irc.reply('My source is at http://supybot.com/')","async def source(ctx):\n await ctx.send(\"The source can be found here: \" +\n \"https://github.com/FrederikBolding/CryptoBot\")","def populate_source():\n\n if os.path.exists('conf.py'):\n return\n\n branch = _get_source_branch()\n\n local('git checkout %s' % branch)\n init_site()\n _git_commit_all('Initial commit\\n[skip ci]')\n _git_push(branch)","def do_readsourcefile(self, file_name):\r\n self.file_name = file_name\r\n f = open(self.file_name, \"r\")\r\n print(f.read())\r\n f.close()","def get_main_source(self):\n\t\tpath, loader = self.main\n\t\tif path is not None:\n\t\t\treturn loader.get_source(path)","def GetSrc():\n return os.path.abspath(os.path.join(_THIS_DIR, os.pardir, os.pardir,\n os.pardir))","def get_source(self):","def copy_local_code() -> co.Exec:\n image = co.Image(\"python:3.8-alpine\", copy_dir=\"./code\")\n return co.Exec(\"python test.py\", image=image, doc=co.util.magic_doc())","async def source(self, ctx):\n await ctx.send(f\"**{ctx.bot.user}** is powered by this source code:\\nhttps://github.com/SHI3DO/Keter\")","def exec_source(self, source, path='', becomes_current_path=True):\n if path and becomes_current_path:\n self._context.push_source(path)\n\n old_sandbox = self._context._sandbox\n self._context._sandbox = weakref.ref(self)\n\n # We don't have to worry about bytecode generation here because we are\n # too low-level for that. However, we could add bytecode generation via\n # the marshall module if parsing performance were ever an issue.\n\n try:\n # compile() inherits the __future__ from the module by default. We\n # do want Unicode literals.\n code = compile(source, path, 'exec')\n # We use ourself as the global namespace for the execution. There\n # is no need for a separate local namespace as moz.build execution\n # is flat, namespace-wise.\n exec(code, self)\n except SandboxError as e:\n raise e\n except NameError as e:\n # A NameError is raised when a variable could not be found.\n # The original KeyError has been dropped by the interpreter.\n # However, we should have it cached in our instance!\n\n # Unless a script is doing something wonky like catching NameError\n # itself (that would be silly), if there is an exception on the\n # global namespace, that's our error.\n actual = e\n\n if self._last_name_error is not None:\n actual = self._last_name_error\n source_stack = self._context.source_stack\n if not becomes_current_path:\n # Add current file to the stack because it wasn't added before\n # sandbox execution.\n source_stack.append(path)\n raise SandboxExecutionError(source_stack, type(actual), actual,\n sys.exc_info()[2])\n\n except Exception as e:\n # Need to copy the stack otherwise we get a reference and that is\n # mutated during the finally.\n exc = sys.exc_info()\n source_stack = self._context.source_stack\n if not becomes_current_path:\n # Add current file to the stack because it wasn't added before\n # sandbox execution.\n source_stack.append(path)\n raise SandboxExecutionError(source_stack, exc[0], exc[1], exc[2])\n finally:\n self._context._sandbox = old_sandbox\n if path and becomes_current_path:\n self._context.pop_source()","def source(mc: MCP, filename: str, fatal: str = None) -> None:\n if filename in mc.source_stack:\n raise Exception(f\"Can't source '{filename}' - circular sourcing detected.\\nSource stack: {mc.source_stack}\")\n mc.source_stack.append(filename)\n with open(filename) as f:\n try:\n parse(mc, f.read(), fatal)\n except Exception as e:\n pass\n mc.source_stack.pop()","def read_source(self, env: BuildEnvironment) -> str:\n content = self.source.read()\n\n # emit \"source-read\" event\n arg = [content]\n env.events.emit('source-read', env.docname, arg)\n return arg[0]","def exec_file(self, path):\n assert os.path.isabs(path)\n\n source = None\n\n try:\n with open(path, 'rt') as fd:\n source = fd.read()\n except Exception as e:\n raise SandboxLoadError(self._context.source_stack,\n sys.exc_info()[2], read_error=path)\n\n self.exec_source(source, path)","def get_source():\n if len(sys.argv) > 1:\n return open(sys.argv[1])\n else:\n return sys.stdin","def source_to_code(self, data, path):\n\t\treturn _call_with_frames_removed(compile, data, path, 'exec', dont_inherit=True)","def set_source(text):\n lexer.input(text)\n lexer.lineno = 1\n lexer.provenance = None","def set_source_file(self, source_file):\n self.set_attribute(\"source_file\", source_file)","def copy_source():\n shutil.copytree(\"src\", os.path.join(BUILD_DIR, \"src\"))\n for file in os.listdir(\".\"):\n if os.path.isfile(file):\n shutil.copyfile(file, os.path.join(BUILD_DIR, file))","def source(self) -> str | Path:\n ...","def do_something(compiler):\n\n # Might need multiple files here. would be nice.\n files = AS[\"args\"][\"Files\"]\n\n if len(files):\n for f in files:\n logger.info(\"Loading: %s\" % f)\n compiler.compile_file(f)\n\n # Run the repl.\n if AS[\"args\"][\"repl\"]:\n repl(compiler, prompt=get_in(AS, [\"args\", \"prompt\"]))","def _remoteScript(self, source_script):","def source(self):\n return some.dap.source(\"<string>\")","def source(self):\n return self._source_code","def load_source(filename):\n with open(filename, 'r') as f:\n lexer.input(f.read())\n lexer.lineno = 1\n lexer.provenance = f'file \"{filename}\"'","def load_sources(self):\n self.pymodule = imp.load_source(self.name, self.path)","def run_cmd_file(self, src_file=None):\r\n if src_file is not None:\r\n self.cmd_stream.set_ctl_val(\"src_file_name\", src_file)\r\n \r\n self.cmd_stream.reset(src_file=src_file)\r\n self.cmd_stream.run_cmd_file(src_file=src_file)\r\n ###self.cmd_stream.set_eof(False)\r","def Sourceify(path):\n return path","def main():\n print(\"It works!!! ;-)\")\n ###TODO### do something with the various methods/functions of this file","def _run_file(file_path, globals_):\n script_name = os.path.basename(file_path)\n\n sys.path = (_PATHS.script_paths(script_name) +\n _PATHS.scrub_path(script_name, sys.path))\n\n fix_google_path()\n\n execfile(_PATHS.script_file(script_name), globals_)","def do_inspect_with_source(self, arg):\n self._do_inspect(arg, with_source=True)","def menu_browse_source(self, event=None):\n self.parentPanel.browse_source()","def menu_check_source_with_pychecker(self, event=None):\n if self.app.children:\n self.app.childActive.check_source_with_pychecker()","def browse_source(self, event=None):\n if self.app.children:\n fileName=self.app.childActive.source.getWordFileName(whole=1)\n if fileName and fileName[0]!='\"':\n self.openList(fileName)\n else:\n if not fileName: fileName=''\n self.SetActiveStatusText('Sorry, can not locate file %s'%fileName)","def init_src(config):\n new_py = new_hark = None\n\n os.makedirs(str(config.project.python_src), exist_ok=True)\n\n py_init = config.project.python_src / \"__init__.py\"\n if not py_init.exists():\n with open(py_init, \"w\") as f:\n f.write(\"\")\n new_py = py_init\n\n if not config.project.hark_file.exists():\n with open(config.project.hark_file, \"w\") as f:\n main = 'fn main() {\\n print(\"Hello World!\");\\n}\\n'\n f.write(f\"// Something great begins here.\\n\\n\\n{main}\")\n new_hark = config.project.hark_file\n\n return new_py, new_hark","def main():\n arg0 = sys.argv[0]\n if not os.path.isfile(arg0):\n sys.exit(\"sys.argv[0] is not a path to a file: \\\"\" + str(arg0) + \"\\\". Exiting now.\")\n absolute_path_to_file = os.path.realpath(arg0) # realpath follows symlinks, which is what we want in this case.\n absolute_path_to_src = os.path.dirname(absolute_path_to_file)\n (absolute_path_to_repo, src_dirname) = os.path.split(absolute_path_to_src)\n if src_dirname != \"src\":\n sys.exit(\"The driver script should be located in directory \\\"src\\\". It is instead in \\\"\" + src_dirname + \"\\\". Exiting now.\")\n os.chdir(absolute_path_to_repo)","def __openSourceFile(self, act):\n file = act.data()\n if file:\n self.openSourceFile(file)","def update_source():\n\n require('environment', provided_by=env.environments)\n with cd(env.code_root):\n sudo('git pull', user=env.deploy_user)\n sudo('git checkout %(branch)s' % env, user=env.deploy_user)","def preprocess_python_source(self, module, source):\n\n return source","def source_file_path(self) -> str:\n return self._source_file_path","def connect():\n\n try:\n set_script_path()\n from citation_vim.builder import Builder\n from citation_vim.context_loader import ContextLoader\n return Builder(ContextLoader().context).build_source()\n except:\n print_exception()","def run():\n print('')\n\n abspath = os.path.abspath(__file__)\n dname = os.path.dirname(abspath)\n os.chdir('tools/' + CHANGEME_GITNAME)\n if sop.debug.lower() == 'y':\n comm.runCommand('python2 ' + program + ' -s ' + sop.ip + ' -d', 'ChangeMe')\n else:\n comm.runCommand('python2 ' + CHANGEME_GITRUN + ' -s ' + sop.ip, 'ChangeMe')\n os.chdir(dname)","def code(self):\n code = self._code\n if code is None:\n raise IOError('source code not available')\n return code","def code(self):\n code = self._code\n if code is None:\n raise IOError('source code not available')\n return code","def execfile(self, filename) -> str:\n\n debug(f\"pyboard execfile({filename})\")\n with open(filename, \"rb\") as f:\n pyfile = f.read()\n return self.exec_(pyfile)","def set_source(source):\n if source not in calculators.keys():\n raise SourceNotImplementedException(source)\n global current_calculator\n current_calculator = calculators[source]","def __file__(self):\n\t\treturn __file__","def __file__(self):\n\t\treturn __file__","def __file__(self):\n\t\treturn __file__","def set_source_path(self, folder):\n self.source_path = folder","def get_source(self):\n\t\treturn self.source.get_source()","def Set_Cursor_Source(self,source,ch=1):\n self.write(f':CURS{ch}:SOUR {source}')","def SConscript(self, file_name, *args, **kargs):\n\n if not os.path.exists(file_name):\n if not os.path.exists(os.path.dirname(file_name)):\n error = \"%s does not exists. Perhaps you forgot to download it?\" % os.path.dirname(file_name)\n else:\n error = \"SConscript %s not found\" % file_name\n raise UserError, error\n if os.path.isdir(file_name):\n if \"SConscript\" in os.listdir(file_name):\n file_name = file_name + os.sep + \"SConscript\"\n elif \"SConstruct\" in os.listdir(file_name):\n file_name = file_name + os.sep + \"SConstruct\"\n else:\n raise UserError, \"SConscript(%s) called, but niether SConscript or SConstruct file exists\" % file_name\n return Environment.SConscript(self, file_name, *args, **kargs)","def set_source(code, filename=DEFAULT_STUDENT_FILENAME, sections=False,\n independent=False, report=MAIN_REPORT):\n if report.submission is None:\n report.contextualize(Submission({filename: code}, filename, code))\n else:\n backup = Substitution(report.submission.main_code, report.submission.main_file)\n report[TOOL_NAME]['substitutions'].append(backup)\n report.submission.replace_main(code, filename)\n\n report[TOOL_NAME]['independent'] = independent\n report[TOOL_NAME]['success'] = True\n if not sections:\n report[TOOL_NAME]['sections'] = None\n report[TOOL_NAME]['section'] = None\n verify(code, report=report)\n else:\n separate_into_sections(report=report)","def get_source(self, fullmodname):\n submodname, is_package, fullpath, source = self._get_source(fullmodname)\n return source","def addSource(self, source):\n self.tprint('source ' + source)","def run(self, code='', file=''):\n if file and code:\n print('WARNING: reading file instead of the code')\n\n if file:\n source = Path(file)\n if source.exists():\n if not source.is_file():\n self.__abort(ERR_CODE_NOT_FILE)\n if file[len(file) - 3:] != EXTENSION:\n self.__abort(ERR_CODE_NOT_SOURCE)\n with source.open() as f:\n self.__code = f.read()\n else:\n self.__abort(ERR_CODE_FILE_MISSING)\n else:\n self.__code = code\n\n self.__tokenize()\n return self.__execute()","def do_run_script(self, arg):\n try:\n with open(os.path.join(os.getcwd(), arg), 'r') as fin:\n script = fin.readlines()\n for line in script:\n self.onecmd(line)\n except (FileNotFoundError) as exc:\n print(exc)","def script(self):","def SConscript(file_name, *args, **kargs):\n if not os.path.exists(file_name):\n if not os.path.exists(os.path.dirname(file_name)):\n error = \"%s does not exists. Perhaps you forgot to download it?\" % os.path.dirname(file_name)\n else:\n error = \"SConscript %s not found\" % file_name\n raise UserError, error\n if os.path.isdir(file_name):\n if \"SConscript\" in os.listdir(file_name):\n file_name = file_name + os.sep + \"SConscript\"\n elif \"SConstruct\" in os.listdir(file_name):\n file_name = file_name + os.sep + \"SConstruct\"\n else:\n raise UserError, \"SConscript(%s) called, but niether SConscript or SConstruct file exists\" % file_name\n return builtin_SConscript(file_name, *args, **kargs)","def set_source(self, source_name):\n self.source = source_name","def get_code(self, fullmodname):\n submodname, is_package, fullpath, source = self._get_source(fullmodname)\n return compile(source, fullpath, 'exec')","def execfile_(filepath: str, _globals: Any) -> None:\n with open(filepath, 'rb') as stream:\n source = stream.read()\n\n code = compile(source, filepath, 'exec')\n exec(code, _globals)","def main():\n p = Path.cwd()\n path = str(p)\n\n files = tracked_files()\n scripts = search_dir(p, path, files, '.py')\n scripts = [i for i in scripts if 'tests/' not in i[:7]]\n scripts = list(map(partial(process, p), scripts))\n\n for script in scripts:\n script['display'] = script['name'].replace('_', '\\_')\n write_readme(scripts)","def do_file(self, arg):\n\n try:\n self.context.mode = ExecutionMode.SCRIPT\n with open(arg) as script:\n for line in script:\n line = self.owner.precmd(line)\n self.owner.print_line(line)\n self.owner.onecmd(line)\n except Exception, e:\n self._error(str(e))\n finally:\n self.context.mode = ExecutionMode.SHELL","def __init__(self):\n self.cur_path = os.path.dirname(__file__)","def srcPath(file):\n\tf = 'conffiles/'+file\n\tif os.path.exists(f): return f\n\tf = file\n\tif os.path.exists(f): return f\n\tif file.startswith('etc/'):\n\t\tf = 'conffiles/'+file[4:]\n\t\tif os.path.exists(f): return f\n\tprint >>sys.stderr, \"file %s was not found\" % file\n\tsys.exit(1)","def set_source_file(filename: str, sections=False, independent=False, report=MAIN_REPORT):\n try:\n with open(filename, 'r') as student_file:\n set_source(student_file.read(), filename=filename,\n sections=sections, independent=independent,\n report=report)\n except IOError:\n source_file_not_found(filename, sections, report=report)\n report[TOOL_NAME]['success'] = False","def run_pylint(self):\r\n fname = self.get_current_filename()\r\n self.emit(SIGNAL('run_pylint(QString)'), fname)","def assemble_simplyjs_sources(project, base_dir, build_result):\n source_files = project.source_files.all()\n shutil.rmtree(base_dir)\n shutil.copytree(settings.SIMPLYJS_ROOT, base_dir)\n\n js = '\\n\\n'.join(x.get_contents() for x in source_files if x.file_name.endswith('.js'))\n escaped_js = json.dumps(js)\n build_result.save_simplyjs(js)\n\n with open(os.path.join(base_dir, 'src', 'js', 'zzz_userscript.js'), 'w') as f:\n f.write(\"\"\"\n (function() {\n simply.mainScriptSource = %s;\n })();\n \"\"\" % escaped_js)","def open_jpi_source_read(file_name):\n\t# change directory\n\tra_to_jpid()\n\t# open the file\n\tsource = open(file_name, \"r\")\n\t# return to starting direcotyr\n\tjpid_to_ra()\n\t# return the open file\n\treturn source","def source_code(self):\n return str(self.source)","def populateScript(self):\n filePath = pm.fileDialog2(fileMode=1,\n startingDirectory=self.startDir,\n fileFilter=' Post Script .py (*%s)' % \".py\")\n if not filePath:\n return\n if not isinstance(filePath, string_types):\n filePath = filePath[0]\n self.gtUIInst.script_lineEdit.setText(filePath)","def source(self, source):\n\n self._source = source","def source(self, source):\n\n self._source = source","def source(self, source):\n\n self._source = source","def source(self, source):\n\n self._source = source","def source(self, source):\n\n self._source = source","def source(self, source):\n\n self._source = source","def source(self, source):\n\n self._source = source","def main():\n # Parse command line arguments\n configfile = parse_arguments()\n # Parse config file\n (basedir, gituser, add_own_forks, forks, branches) = parse_config(configfile)\n # Check that base directory exists\n if not os.path.exists(basedir):\n raise Exception('Base directory {0} does not exist'.format(basedir))\n # Configure working directory\n workdir = setup_workdir(basedir)\n # Check out the code\n checkout_code(workdir, gituser, add_own_forks, forks, branches)\n print \"Location of code: {0}\".format(workdir)","def add_source_achors():\n pass","def source(conf, cwd=None):\n if not cwd:\n cwd = \".\"\n\n if conf.endswith(\".git\"):\n proc = subprocess.Popen(\n [\"git\", \"clone\", conf, \".\"],\n cwd=cwd, stdout=sys.stdout, stderr=sys.stderr)\n proc.communicate()\n\n else:\n download(conf)\n\n # pkg = os.path.join(cwd, \"requirements.in\")\n # if os.path.exists(pkg):\n # proc = subprocess.Popen(\n # [\"pip-compile\", pkg], stdout=sys.stdout, stderr=sys.stderr)\n # proc.communicate()\n\n pkg = os.path.join(cwd, \"requirements.txt\")\n if os.path.exists(pkg):\n proc = subprocess.Popen(\n [\"pip\", \"install\", \"--exists-action\", \"i\", \"-r\", pkg],\n stdout=sys.stdout, stderr=sys.stderr)\n proc.communicate()","def source_path(self, rel_path):\n # TODO download to disk (use source cache) in case of remote file\n import inspect\n\n frame = inspect.currentframe().f_back\n calling_file = frame.f_code.co_filename\n\n if (\n self.included_stack\n and calling_file == self.included_stack[-1].get_path_or_uri()\n ):\n # called from current snakefile, we can try to keep the original source\n # file annotation\n # This will only work if the method is evaluated during parsing mode.\n # Otherwise, the stack can be empty already.\n path = self.current_basedir.join(rel_path)\n orig_path = path.get_path_or_uri()\n else:\n # heuristically determine path\n calling_dir = os.path.dirname(calling_file)\n path = smart_join(calling_dir, rel_path)\n orig_path = path\n\n return sourcecache_entry(\n self.sourcecache.get_path(infer_source_file(path)), orig_path\n )","def edit_file(self, file=None): # pylint: disable=redefined-builtin\n if file is None:\n file = self.thisfile\n elif isinstance(file, str):\n file = File(os.path.expanduser(file))\n if file is None:\n return\n self.execute_file(file, label='editor')"],"string":"[\n \"def source(self):\\n return some.dap.source(py.path.local(self.co_filename))\",\n \"def source(something):\\n # How to source? It's impossible. It's like: we fork, run bash, run\\n # ourselves in the environment set up by Bash.\\n raise NotImplementedError('Impossible.')\",\n \"def do_source(self, line):\\n\\n if self.root_directory:\\n self.source_file = self.root_directory + \\\"/\\\" + line\\n self.do_check_file(self.source_file)\\n else:\\n self.source_file = line\\n self.do_check_file(self.source_file)\",\n \"def _getscriptsource(self):\\n\\t\\tscriptname = misc.sysinfo.script_name.rstrip(\\\"c\\\")\\n\\t\\ttry:\\n\\t\\t\\tencoding = tokenize.detect_encoding(open(scriptname, \\\"rb\\\").readline)[0]\\n\\t\\t\\twith open(scriptname, \\\"r\\\", encoding=encoding, errors=\\\"replace\\\") as f:\\n\\t\\t\\t\\tself.source = f.read()\\n\\t\\texcept IOError: # Script might have called ``os.chdir()`` before\\n\\t\\t\\tself.source = None\",\n \"def main(source):\\n pass\",\n \"async def source(self, ctx):\\n \\\"\\\"\\\" Check out my source code <3 \\\"\\\"\\\"\\n # Do not remove this command, this has to stay due to the GitHub LICENSE.\\n # TL:DR, you have to disclose source according to MIT.\\n # Reference: https://github.com/AlexFlipnote/discord_bot.py/blob/master/LICENSE\\n await ctx.send(f\\\"**{ctx.bot.user}** is powered by this source code:\\\\nhttps://github.com/AlexFlipnote/discord_bot.py With modifications by user: snow-blade\\\")\",\n \"def getSource():\",\n \"def do_source(self, args):\\n self.source = int(args)\",\n \"async def source(self, ctx: commands.Context, *, command):\\n cmd = self.bot.get_command(command)\\n if not cmd:\\n return await ctx.send(f\\\"I don't have a command with name `{command}`.\\\")\\n\\n lines = []\\n for line in inspect.getsourcelines(cmd.callback)[0]:\\n line = line.rstrip().replace('```', '`\\\\u200b`\\\\u200b`')\\n if line.startswith(' '):\\n line = line[4:]\\n lines.append(line)\\n output = '\\\\n'.join(lines)\\n await ctx.send(f\\\"```py\\\\n{output}```\\\")\",\n \"async def source(self, ctx, command: str = None):\\n\\n source_url = \\\"https://github.com/Zeniath/Non-Don-Tools\\\"\\n if command is None:\\n return await ctx.send(source_url)\\n \\n\\n obj = self.bot.get_command(command.replace('.', ' '))\\n if obj is None:\\n return await ctx.send('Could not find command.')\\n\\n src = obj.callback.__code__\\n lines, firstlineno = inspect.getsourcelines(src)\\n if not obj.callback.__module__.startswith('discord'):\\n location = os.path.relpath(src.co_filename).replace('\\\\\\\\', '/')\\n else:\\n location = obj.callback.__module__.replace('.', '/') + '.py'\\n source_url = \\\"https://github.com/Zeniath/Non-Don-Tools\\\"\\n\\n await ctx.send(f\\\"<{source_url}/tree/master/{location}/#L{firstlineno}-L{firstlineno + len(lines) - 1}>\\\")\",\n \"def activate_source(self):\\n pass\",\n \"def setSourceFile(filename):\",\n \"async def source(self, ctx: Context, *, command: commands.Command = None):\\n if command is None:\\n return await ctx.send(BOT_CONFIG.REPOSITORY_URL) # type: ignore\\n\\n if command.name == 'help':\\n code = type(self.bot.help_command)\\n\\n else:\\n code = command.callback.__code__\\n\\n filename: str = inspect.getsourcefile(code) # type: ignore\\n filename = str(pathlib.Path(filename).relative_to(pathlib.Path.cwd())).replace('\\\\\\\\', '/')\\n\\n lines, first_line = inspect.getsourcelines(code)\\n\\n last_line = first_line + len(lines) - 1\\n await ctx.send(f'{BOT_CONFIG.REPOSITORY_URL}/blob/master/{filename}#L{first_line}-#L{last_line}') # type: ignore\",\n \"async def source(ctx, command: Option(str, \\\"The command to view the source code for\\\", required=False)):\\n source_url = 'https://github.com/Pycord-Development/robocord'\\n branch = 'main'\\n view = discord.ui.View()\\n if command is None:\\n url = source_url\\n label = \\\"Source code for entire bot\\\"\\n else:\\n command_split = command.split()\\n index = 0\\n obj = discord.utils.get(bot.application_commands.values(), name=command_split[index])\\n while isinstance(obj, SlashCommandGroup):\\n if index + 1 > len(command_split):\\n return await ctx.respond(\\\"Error: Command is a group. You must choose a subcommand from it.\\\")\\n obj = discord.utils.get(obj.subcommands, name=command_split[index])\\n if not isinstance(obj, SlashCommand):\\n return await ctx.respond(\\\"Error: Command could not be found\\\")\\n # noinspection PyUnresolvedReferences\\n src = obj.callback.__code__\\n filename = src.co_filename\\n lines, firstlineno = inspect.getsourcelines(src)\\n location = os.path.relpath(filename).replace('\\\\\\\\', '/')\\n\\n url = f'{source_url}/blob/{branch}/{location}#L{firstlineno}-L{firstlineno + len(lines) - 1}'\\n content = await discord.ext.commands.clean_content(escape_markdown=True).convert(ctx, command)\\n label = f'Source code for command \\\"{content}\\\"'\\n view.add_item(discord.ui.Button(label=\\\"View Code\\\", url=url))\\n await ctx.respond(label, view=view)\",\n \"async def source(self, ctx, *, command: str = None):\\n\\n source_url = 'https://github.com/Discord-Bots-Italia/public-bot-py'\\n branch = 'master'\\n\\n if command is None:\\n return await ctx.send(source_url)\\n\\n else:\\n obj = self.bot.get_command(command.replace('.', ' '))\\n if obj is None:\\n return await ctx.send('Could not find command.')\\n\\n # since we found the command we're looking for, presumably anyway, let's\\n # try to access the code itself\\n src = obj.callback.__code__\\n module = obj.callback.__module__\\n filename = src.co_filename\\n\\n lines, firstlineno = inspect.getsourcelines(src)\\n location = os.path.relpath(filename).replace('\\\\\\\\', '/')\\n\\n final_url = f'<{source_url}/blob/{branch}/{location}#L{firstlineno}-L{firstlineno + len(lines) - 1}>'\\n await ctx.send(final_url)\",\n \"async def _botsource(self, ctx):\\r\\n source_link = \\\"https://github.com/Simalary/SimsVIP.Servo\\\"\\r\\n await self.bot.say('{0.message.author.mention}, my source code is available at <{1}>.'.format(ctx, source_link))\",\n \"def source(self, irc, msg, args):\\n irc.reply('My source is at http://supybot.com/')\",\n \"async def source(ctx):\\n await ctx.send(\\\"The source can be found here: \\\" +\\n \\\"https://github.com/FrederikBolding/CryptoBot\\\")\",\n \"def populate_source():\\n\\n if os.path.exists('conf.py'):\\n return\\n\\n branch = _get_source_branch()\\n\\n local('git checkout %s' % branch)\\n init_site()\\n _git_commit_all('Initial commit\\\\n[skip ci]')\\n _git_push(branch)\",\n \"def do_readsourcefile(self, file_name):\\r\\n self.file_name = file_name\\r\\n f = open(self.file_name, \\\"r\\\")\\r\\n print(f.read())\\r\\n f.close()\",\n \"def get_main_source(self):\\n\\t\\tpath, loader = self.main\\n\\t\\tif path is not None:\\n\\t\\t\\treturn loader.get_source(path)\",\n \"def GetSrc():\\n return os.path.abspath(os.path.join(_THIS_DIR, os.pardir, os.pardir,\\n os.pardir))\",\n \"def get_source(self):\",\n \"def copy_local_code() -> co.Exec:\\n image = co.Image(\\\"python:3.8-alpine\\\", copy_dir=\\\"./code\\\")\\n return co.Exec(\\\"python test.py\\\", image=image, doc=co.util.magic_doc())\",\n \"async def source(self, ctx):\\n await ctx.send(f\\\"**{ctx.bot.user}** is powered by this source code:\\\\nhttps://github.com/SHI3DO/Keter\\\")\",\n \"def exec_source(self, source, path='', becomes_current_path=True):\\n if path and becomes_current_path:\\n self._context.push_source(path)\\n\\n old_sandbox = self._context._sandbox\\n self._context._sandbox = weakref.ref(self)\\n\\n # We don't have to worry about bytecode generation here because we are\\n # too low-level for that. However, we could add bytecode generation via\\n # the marshall module if parsing performance were ever an issue.\\n\\n try:\\n # compile() inherits the __future__ from the module by default. We\\n # do want Unicode literals.\\n code = compile(source, path, 'exec')\\n # We use ourself as the global namespace for the execution. There\\n # is no need for a separate local namespace as moz.build execution\\n # is flat, namespace-wise.\\n exec(code, self)\\n except SandboxError as e:\\n raise e\\n except NameError as e:\\n # A NameError is raised when a variable could not be found.\\n # The original KeyError has been dropped by the interpreter.\\n # However, we should have it cached in our instance!\\n\\n # Unless a script is doing something wonky like catching NameError\\n # itself (that would be silly), if there is an exception on the\\n # global namespace, that's our error.\\n actual = e\\n\\n if self._last_name_error is not None:\\n actual = self._last_name_error\\n source_stack = self._context.source_stack\\n if not becomes_current_path:\\n # Add current file to the stack because it wasn't added before\\n # sandbox execution.\\n source_stack.append(path)\\n raise SandboxExecutionError(source_stack, type(actual), actual,\\n sys.exc_info()[2])\\n\\n except Exception as e:\\n # Need to copy the stack otherwise we get a reference and that is\\n # mutated during the finally.\\n exc = sys.exc_info()\\n source_stack = self._context.source_stack\\n if not becomes_current_path:\\n # Add current file to the stack because it wasn't added before\\n # sandbox execution.\\n source_stack.append(path)\\n raise SandboxExecutionError(source_stack, exc[0], exc[1], exc[2])\\n finally:\\n self._context._sandbox = old_sandbox\\n if path and becomes_current_path:\\n self._context.pop_source()\",\n \"def source(mc: MCP, filename: str, fatal: str = None) -> None:\\n if filename in mc.source_stack:\\n raise Exception(f\\\"Can't source '{filename}' - circular sourcing detected.\\\\nSource stack: {mc.source_stack}\\\")\\n mc.source_stack.append(filename)\\n with open(filename) as f:\\n try:\\n parse(mc, f.read(), fatal)\\n except Exception as e:\\n pass\\n mc.source_stack.pop()\",\n \"def read_source(self, env: BuildEnvironment) -> str:\\n content = self.source.read()\\n\\n # emit \\\"source-read\\\" event\\n arg = [content]\\n env.events.emit('source-read', env.docname, arg)\\n return arg[0]\",\n \"def exec_file(self, path):\\n assert os.path.isabs(path)\\n\\n source = None\\n\\n try:\\n with open(path, 'rt') as fd:\\n source = fd.read()\\n except Exception as e:\\n raise SandboxLoadError(self._context.source_stack,\\n sys.exc_info()[2], read_error=path)\\n\\n self.exec_source(source, path)\",\n \"def get_source():\\n if len(sys.argv) > 1:\\n return open(sys.argv[1])\\n else:\\n return sys.stdin\",\n \"def source_to_code(self, data, path):\\n\\t\\treturn _call_with_frames_removed(compile, data, path, 'exec', dont_inherit=True)\",\n \"def set_source(text):\\n lexer.input(text)\\n lexer.lineno = 1\\n lexer.provenance = None\",\n \"def set_source_file(self, source_file):\\n self.set_attribute(\\\"source_file\\\", source_file)\",\n \"def copy_source():\\n shutil.copytree(\\\"src\\\", os.path.join(BUILD_DIR, \\\"src\\\"))\\n for file in os.listdir(\\\".\\\"):\\n if os.path.isfile(file):\\n shutil.copyfile(file, os.path.join(BUILD_DIR, file))\",\n \"def source(self) -> str | Path:\\n ...\",\n \"def do_something(compiler):\\n\\n # Might need multiple files here. would be nice.\\n files = AS[\\\"args\\\"][\\\"Files\\\"]\\n\\n if len(files):\\n for f in files:\\n logger.info(\\\"Loading: %s\\\" % f)\\n compiler.compile_file(f)\\n\\n # Run the repl.\\n if AS[\\\"args\\\"][\\\"repl\\\"]:\\n repl(compiler, prompt=get_in(AS, [\\\"args\\\", \\\"prompt\\\"]))\",\n \"def _remoteScript(self, source_script):\",\n \"def source(self):\\n return some.dap.source(\\\"<string>\\\")\",\n \"def source(self):\\n return self._source_code\",\n \"def load_source(filename):\\n with open(filename, 'r') as f:\\n lexer.input(f.read())\\n lexer.lineno = 1\\n lexer.provenance = f'file \\\"{filename}\\\"'\",\n \"def load_sources(self):\\n self.pymodule = imp.load_source(self.name, self.path)\",\n \"def run_cmd_file(self, src_file=None):\\r\\n if src_file is not None:\\r\\n self.cmd_stream.set_ctl_val(\\\"src_file_name\\\", src_file)\\r\\n \\r\\n self.cmd_stream.reset(src_file=src_file)\\r\\n self.cmd_stream.run_cmd_file(src_file=src_file)\\r\\n ###self.cmd_stream.set_eof(False)\\r\",\n \"def Sourceify(path):\\n return path\",\n \"def main():\\n print(\\\"It works!!! ;-)\\\")\\n ###TODO### do something with the various methods/functions of this file\",\n \"def _run_file(file_path, globals_):\\n script_name = os.path.basename(file_path)\\n\\n sys.path = (_PATHS.script_paths(script_name) +\\n _PATHS.scrub_path(script_name, sys.path))\\n\\n fix_google_path()\\n\\n execfile(_PATHS.script_file(script_name), globals_)\",\n \"def do_inspect_with_source(self, arg):\\n self._do_inspect(arg, with_source=True)\",\n \"def menu_browse_source(self, event=None):\\n self.parentPanel.browse_source()\",\n \"def menu_check_source_with_pychecker(self, event=None):\\n if self.app.children:\\n self.app.childActive.check_source_with_pychecker()\",\n \"def browse_source(self, event=None):\\n if self.app.children:\\n fileName=self.app.childActive.source.getWordFileName(whole=1)\\n if fileName and fileName[0]!='\\\"':\\n self.openList(fileName)\\n else:\\n if not fileName: fileName=''\\n self.SetActiveStatusText('Sorry, can not locate file %s'%fileName)\",\n \"def init_src(config):\\n new_py = new_hark = None\\n\\n os.makedirs(str(config.project.python_src), exist_ok=True)\\n\\n py_init = config.project.python_src / \\\"__init__.py\\\"\\n if not py_init.exists():\\n with open(py_init, \\\"w\\\") as f:\\n f.write(\\\"\\\")\\n new_py = py_init\\n\\n if not config.project.hark_file.exists():\\n with open(config.project.hark_file, \\\"w\\\") as f:\\n main = 'fn main() {\\\\n print(\\\"Hello World!\\\");\\\\n}\\\\n'\\n f.write(f\\\"// Something great begins here.\\\\n\\\\n\\\\n{main}\\\")\\n new_hark = config.project.hark_file\\n\\n return new_py, new_hark\",\n \"def main():\\n arg0 = sys.argv[0]\\n if not os.path.isfile(arg0):\\n sys.exit(\\\"sys.argv[0] is not a path to a file: \\\\\\\"\\\" + str(arg0) + \\\"\\\\\\\". Exiting now.\\\")\\n absolute_path_to_file = os.path.realpath(arg0) # realpath follows symlinks, which is what we want in this case.\\n absolute_path_to_src = os.path.dirname(absolute_path_to_file)\\n (absolute_path_to_repo, src_dirname) = os.path.split(absolute_path_to_src)\\n if src_dirname != \\\"src\\\":\\n sys.exit(\\\"The driver script should be located in directory \\\\\\\"src\\\\\\\". It is instead in \\\\\\\"\\\" + src_dirname + \\\"\\\\\\\". Exiting now.\\\")\\n os.chdir(absolute_path_to_repo)\",\n \"def __openSourceFile(self, act):\\n file = act.data()\\n if file:\\n self.openSourceFile(file)\",\n \"def update_source():\\n\\n require('environment', provided_by=env.environments)\\n with cd(env.code_root):\\n sudo('git pull', user=env.deploy_user)\\n sudo('git checkout %(branch)s' % env, user=env.deploy_user)\",\n \"def preprocess_python_source(self, module, source):\\n\\n return source\",\n \"def source_file_path(self) -> str:\\n return self._source_file_path\",\n \"def connect():\\n\\n try:\\n set_script_path()\\n from citation_vim.builder import Builder\\n from citation_vim.context_loader import ContextLoader\\n return Builder(ContextLoader().context).build_source()\\n except:\\n print_exception()\",\n \"def run():\\n print('')\\n\\n abspath = os.path.abspath(__file__)\\n dname = os.path.dirname(abspath)\\n os.chdir('tools/' + CHANGEME_GITNAME)\\n if sop.debug.lower() == 'y':\\n comm.runCommand('python2 ' + program + ' -s ' + sop.ip + ' -d', 'ChangeMe')\\n else:\\n comm.runCommand('python2 ' + CHANGEME_GITRUN + ' -s ' + sop.ip, 'ChangeMe')\\n os.chdir(dname)\",\n \"def code(self):\\n code = self._code\\n if code is None:\\n raise IOError('source code not available')\\n return code\",\n \"def code(self):\\n code = self._code\\n if code is None:\\n raise IOError('source code not available')\\n return code\",\n \"def execfile(self, filename) -> str:\\n\\n debug(f\\\"pyboard execfile({filename})\\\")\\n with open(filename, \\\"rb\\\") as f:\\n pyfile = f.read()\\n return self.exec_(pyfile)\",\n \"def set_source(source):\\n if source not in calculators.keys():\\n raise SourceNotImplementedException(source)\\n global current_calculator\\n current_calculator = calculators[source]\",\n \"def __file__(self):\\n\\t\\treturn __file__\",\n \"def __file__(self):\\n\\t\\treturn __file__\",\n \"def __file__(self):\\n\\t\\treturn __file__\",\n \"def set_source_path(self, folder):\\n self.source_path = folder\",\n \"def get_source(self):\\n\\t\\treturn self.source.get_source()\",\n \"def Set_Cursor_Source(self,source,ch=1):\\n self.write(f':CURS{ch}:SOUR {source}')\",\n \"def SConscript(self, file_name, *args, **kargs):\\n\\n if not os.path.exists(file_name):\\n if not os.path.exists(os.path.dirname(file_name)):\\n error = \\\"%s does not exists. Perhaps you forgot to download it?\\\" % os.path.dirname(file_name)\\n else:\\n error = \\\"SConscript %s not found\\\" % file_name\\n raise UserError, error\\n if os.path.isdir(file_name):\\n if \\\"SConscript\\\" in os.listdir(file_name):\\n file_name = file_name + os.sep + \\\"SConscript\\\"\\n elif \\\"SConstruct\\\" in os.listdir(file_name):\\n file_name = file_name + os.sep + \\\"SConstruct\\\"\\n else:\\n raise UserError, \\\"SConscript(%s) called, but niether SConscript or SConstruct file exists\\\" % file_name\\n return Environment.SConscript(self, file_name, *args, **kargs)\",\n \"def set_source(code, filename=DEFAULT_STUDENT_FILENAME, sections=False,\\n independent=False, report=MAIN_REPORT):\\n if report.submission is None:\\n report.contextualize(Submission({filename: code}, filename, code))\\n else:\\n backup = Substitution(report.submission.main_code, report.submission.main_file)\\n report[TOOL_NAME]['substitutions'].append(backup)\\n report.submission.replace_main(code, filename)\\n\\n report[TOOL_NAME]['independent'] = independent\\n report[TOOL_NAME]['success'] = True\\n if not sections:\\n report[TOOL_NAME]['sections'] = None\\n report[TOOL_NAME]['section'] = None\\n verify(code, report=report)\\n else:\\n separate_into_sections(report=report)\",\n \"def get_source(self, fullmodname):\\n submodname, is_package, fullpath, source = self._get_source(fullmodname)\\n return source\",\n \"def addSource(self, source):\\n self.tprint('source ' + source)\",\n \"def run(self, code='', file=''):\\n if file and code:\\n print('WARNING: reading file instead of the code')\\n\\n if file:\\n source = Path(file)\\n if source.exists():\\n if not source.is_file():\\n self.__abort(ERR_CODE_NOT_FILE)\\n if file[len(file) - 3:] != EXTENSION:\\n self.__abort(ERR_CODE_NOT_SOURCE)\\n with source.open() as f:\\n self.__code = f.read()\\n else:\\n self.__abort(ERR_CODE_FILE_MISSING)\\n else:\\n self.__code = code\\n\\n self.__tokenize()\\n return self.__execute()\",\n \"def do_run_script(self, arg):\\n try:\\n with open(os.path.join(os.getcwd(), arg), 'r') as fin:\\n script = fin.readlines()\\n for line in script:\\n self.onecmd(line)\\n except (FileNotFoundError) as exc:\\n print(exc)\",\n \"def script(self):\",\n \"def SConscript(file_name, *args, **kargs):\\n if not os.path.exists(file_name):\\n if not os.path.exists(os.path.dirname(file_name)):\\n error = \\\"%s does not exists. Perhaps you forgot to download it?\\\" % os.path.dirname(file_name)\\n else:\\n error = \\\"SConscript %s not found\\\" % file_name\\n raise UserError, error\\n if os.path.isdir(file_name):\\n if \\\"SConscript\\\" in os.listdir(file_name):\\n file_name = file_name + os.sep + \\\"SConscript\\\"\\n elif \\\"SConstruct\\\" in os.listdir(file_name):\\n file_name = file_name + os.sep + \\\"SConstruct\\\"\\n else:\\n raise UserError, \\\"SConscript(%s) called, but niether SConscript or SConstruct file exists\\\" % file_name\\n return builtin_SConscript(file_name, *args, **kargs)\",\n \"def set_source(self, source_name):\\n self.source = source_name\",\n \"def get_code(self, fullmodname):\\n submodname, is_package, fullpath, source = self._get_source(fullmodname)\\n return compile(source, fullpath, 'exec')\",\n \"def execfile_(filepath: str, _globals: Any) -> None:\\n with open(filepath, 'rb') as stream:\\n source = stream.read()\\n\\n code = compile(source, filepath, 'exec')\\n exec(code, _globals)\",\n \"def main():\\n p = Path.cwd()\\n path = str(p)\\n\\n files = tracked_files()\\n scripts = search_dir(p, path, files, '.py')\\n scripts = [i for i in scripts if 'tests/' not in i[:7]]\\n scripts = list(map(partial(process, p), scripts))\\n\\n for script in scripts:\\n script['display'] = script['name'].replace('_', '\\\\_')\\n write_readme(scripts)\",\n \"def do_file(self, arg):\\n\\n try:\\n self.context.mode = ExecutionMode.SCRIPT\\n with open(arg) as script:\\n for line in script:\\n line = self.owner.precmd(line)\\n self.owner.print_line(line)\\n self.owner.onecmd(line)\\n except Exception, e:\\n self._error(str(e))\\n finally:\\n self.context.mode = ExecutionMode.SHELL\",\n \"def __init__(self):\\n self.cur_path = os.path.dirname(__file__)\",\n \"def srcPath(file):\\n\\tf = 'conffiles/'+file\\n\\tif os.path.exists(f): return f\\n\\tf = file\\n\\tif os.path.exists(f): return f\\n\\tif file.startswith('etc/'):\\n\\t\\tf = 'conffiles/'+file[4:]\\n\\t\\tif os.path.exists(f): return f\\n\\tprint >>sys.stderr, \\\"file %s was not found\\\" % file\\n\\tsys.exit(1)\",\n \"def set_source_file(filename: str, sections=False, independent=False, report=MAIN_REPORT):\\n try:\\n with open(filename, 'r') as student_file:\\n set_source(student_file.read(), filename=filename,\\n sections=sections, independent=independent,\\n report=report)\\n except IOError:\\n source_file_not_found(filename, sections, report=report)\\n report[TOOL_NAME]['success'] = False\",\n \"def run_pylint(self):\\r\\n fname = self.get_current_filename()\\r\\n self.emit(SIGNAL('run_pylint(QString)'), fname)\",\n \"def assemble_simplyjs_sources(project, base_dir, build_result):\\n source_files = project.source_files.all()\\n shutil.rmtree(base_dir)\\n shutil.copytree(settings.SIMPLYJS_ROOT, base_dir)\\n\\n js = '\\\\n\\\\n'.join(x.get_contents() for x in source_files if x.file_name.endswith('.js'))\\n escaped_js = json.dumps(js)\\n build_result.save_simplyjs(js)\\n\\n with open(os.path.join(base_dir, 'src', 'js', 'zzz_userscript.js'), 'w') as f:\\n f.write(\\\"\\\"\\\"\\n (function() {\\n simply.mainScriptSource = %s;\\n })();\\n \\\"\\\"\\\" % escaped_js)\",\n \"def open_jpi_source_read(file_name):\\n\\t# change directory\\n\\tra_to_jpid()\\n\\t# open the file\\n\\tsource = open(file_name, \\\"r\\\")\\n\\t# return to starting direcotyr\\n\\tjpid_to_ra()\\n\\t# return the open file\\n\\treturn source\",\n \"def source_code(self):\\n return str(self.source)\",\n \"def populateScript(self):\\n filePath = pm.fileDialog2(fileMode=1,\\n startingDirectory=self.startDir,\\n fileFilter=' Post Script .py (*%s)' % \\\".py\\\")\\n if not filePath:\\n return\\n if not isinstance(filePath, string_types):\\n filePath = filePath[0]\\n self.gtUIInst.script_lineEdit.setText(filePath)\",\n \"def source(self, source):\\n\\n self._source = source\",\n \"def source(self, source):\\n\\n self._source = source\",\n \"def source(self, source):\\n\\n self._source = source\",\n \"def source(self, source):\\n\\n self._source = source\",\n \"def source(self, source):\\n\\n self._source = source\",\n \"def source(self, source):\\n\\n self._source = source\",\n \"def source(self, source):\\n\\n self._source = source\",\n \"def main():\\n # Parse command line arguments\\n configfile = parse_arguments()\\n # Parse config file\\n (basedir, gituser, add_own_forks, forks, branches) = parse_config(configfile)\\n # Check that base directory exists\\n if not os.path.exists(basedir):\\n raise Exception('Base directory {0} does not exist'.format(basedir))\\n # Configure working directory\\n workdir = setup_workdir(basedir)\\n # Check out the code\\n checkout_code(workdir, gituser, add_own_forks, forks, branches)\\n print \\\"Location of code: {0}\\\".format(workdir)\",\n \"def add_source_achors():\\n pass\",\n \"def source(conf, cwd=None):\\n if not cwd:\\n cwd = \\\".\\\"\\n\\n if conf.endswith(\\\".git\\\"):\\n proc = subprocess.Popen(\\n [\\\"git\\\", \\\"clone\\\", conf, \\\".\\\"],\\n cwd=cwd, stdout=sys.stdout, stderr=sys.stderr)\\n proc.communicate()\\n\\n else:\\n download(conf)\\n\\n # pkg = os.path.join(cwd, \\\"requirements.in\\\")\\n # if os.path.exists(pkg):\\n # proc = subprocess.Popen(\\n # [\\\"pip-compile\\\", pkg], stdout=sys.stdout, stderr=sys.stderr)\\n # proc.communicate()\\n\\n pkg = os.path.join(cwd, \\\"requirements.txt\\\")\\n if os.path.exists(pkg):\\n proc = subprocess.Popen(\\n [\\\"pip\\\", \\\"install\\\", \\\"--exists-action\\\", \\\"i\\\", \\\"-r\\\", pkg],\\n stdout=sys.stdout, stderr=sys.stderr)\\n proc.communicate()\",\n \"def source_path(self, rel_path):\\n # TODO download to disk (use source cache) in case of remote file\\n import inspect\\n\\n frame = inspect.currentframe().f_back\\n calling_file = frame.f_code.co_filename\\n\\n if (\\n self.included_stack\\n and calling_file == self.included_stack[-1].get_path_or_uri()\\n ):\\n # called from current snakefile, we can try to keep the original source\\n # file annotation\\n # This will only work if the method is evaluated during parsing mode.\\n # Otherwise, the stack can be empty already.\\n path = self.current_basedir.join(rel_path)\\n orig_path = path.get_path_or_uri()\\n else:\\n # heuristically determine path\\n calling_dir = os.path.dirname(calling_file)\\n path = smart_join(calling_dir, rel_path)\\n orig_path = path\\n\\n return sourcecache_entry(\\n self.sourcecache.get_path(infer_source_file(path)), orig_path\\n )\",\n \"def edit_file(self, file=None): # pylint: disable=redefined-builtin\\n if file is None:\\n file = self.thisfile\\n elif isinstance(file, str):\\n file = File(os.path.expanduser(file))\\n if file is None:\\n return\\n self.execute_file(file, label='editor')\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.72140634","0.68528104","0.67484087","0.66230774","0.6607021","0.6600624","0.6600589","0.6545537","0.65396297","0.6503178","0.6457454","0.6434944","0.6405547","0.63944274","0.63699126","0.6248467","0.6179569","0.6175343","0.60342467","0.6005206","0.598901","0.59715337","0.59603125","0.5947932","0.590059","0.588039","0.5873828","0.58428115","0.5816844","0.5779571","0.5754093","0.57468563","0.5704883","0.5680724","0.56646425","0.564011","0.56331563","0.5615659","0.5598887","0.5593938","0.5593448","0.5592085","0.55766696","0.5567778","0.55471873","0.55182785","0.55066794","0.550362","0.54808545","0.5471711","0.54715997","0.5470216","0.54611635","0.54582536","0.54527855","0.54460424","0.54411393","0.54209423","0.54209423","0.5418017","0.540839","0.54028296","0.54028296","0.54028296","0.538874","0.5382015","0.53738904","0.5371031","0.5361659","0.5359937","0.53580105","0.5352468","0.53471476","0.5344335","0.53345853","0.5333408","0.5330018","0.5326602","0.531824","0.5315417","0.5313728","0.5310676","0.5306522","0.53045434","0.53039473","0.5280411","0.5269079","0.5261657","0.52598184","0.52598184","0.52598184","0.52598184","0.52598184","0.52598184","0.52598184","0.5251832","0.52491033","0.5248666","0.52482444","0.5237483"],"string":"[\n \"0.72140634\",\n \"0.68528104\",\n \"0.67484087\",\n \"0.66230774\",\n \"0.6607021\",\n \"0.6600624\",\n \"0.6600589\",\n \"0.6545537\",\n \"0.65396297\",\n \"0.6503178\",\n \"0.6457454\",\n \"0.6434944\",\n \"0.6405547\",\n \"0.63944274\",\n \"0.63699126\",\n \"0.6248467\",\n \"0.6179569\",\n \"0.6175343\",\n \"0.60342467\",\n \"0.6005206\",\n \"0.598901\",\n \"0.59715337\",\n \"0.59603125\",\n \"0.5947932\",\n \"0.590059\",\n \"0.588039\",\n \"0.5873828\",\n \"0.58428115\",\n \"0.5816844\",\n \"0.5779571\",\n \"0.5754093\",\n \"0.57468563\",\n \"0.5704883\",\n \"0.5680724\",\n \"0.56646425\",\n \"0.564011\",\n \"0.56331563\",\n \"0.5615659\",\n \"0.5598887\",\n \"0.5593938\",\n \"0.5593448\",\n \"0.5592085\",\n \"0.55766696\",\n \"0.5567778\",\n \"0.55471873\",\n \"0.55182785\",\n \"0.55066794\",\n \"0.550362\",\n \"0.54808545\",\n \"0.5471711\",\n \"0.54715997\",\n \"0.5470216\",\n \"0.54611635\",\n \"0.54582536\",\n \"0.54527855\",\n \"0.54460424\",\n \"0.54411393\",\n \"0.54209423\",\n \"0.54209423\",\n \"0.5418017\",\n \"0.540839\",\n \"0.54028296\",\n \"0.54028296\",\n \"0.54028296\",\n \"0.538874\",\n \"0.5382015\",\n \"0.53738904\",\n \"0.5371031\",\n \"0.5361659\",\n \"0.5359937\",\n \"0.53580105\",\n \"0.5352468\",\n \"0.53471476\",\n \"0.5344335\",\n \"0.53345853\",\n \"0.5333408\",\n \"0.5330018\",\n \"0.5326602\",\n \"0.531824\",\n \"0.5315417\",\n \"0.5313728\",\n \"0.5310676\",\n \"0.5306522\",\n \"0.53045434\",\n \"0.53039473\",\n \"0.5280411\",\n \"0.5269079\",\n \"0.5261657\",\n \"0.52598184\",\n \"0.52598184\",\n \"0.52598184\",\n \"0.52598184\",\n \"0.52598184\",\n \"0.52598184\",\n \"0.52598184\",\n \"0.5251832\",\n \"0.52491033\",\n \"0.5248666\",\n \"0.52482444\",\n \"0.5237483\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6302204"},"document_rank":{"kind":"string","value":"15"}}},{"rowIdx":91296,"cells":{"query":{"kind":"string","value":"calls the 'build()' method of the current (user folder) conanfile.py"},"document":{"kind":"string","value":"def build(self, conanfile):\n app = ConanApp(self._conan_api.cache_folder)\n conanfile.folders.set_base_package(conanfile.folders.base_build)\n conanfile.folders.set_base_pkg_metadata(os.path.join(conanfile.build_folder, \"metadata\"))\n run_build_method(conanfile, app.hook_manager)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def build():","def build(config):","def build(_):","def build(build_ctx: str, bentofile: str, version: str) -> None: # type: ignore (not accessed)\n if sys.path[0] != build_ctx:\n sys.path.insert(0, build_ctx)\n\n build_bentofile(bentofile, build_ctx=build_ctx, version=version)","def build():\n local('pelican -o {} -s pelicanconf.py'.format(env.deploy_path))","def build(parameters):\n\n\n print(\"In Build module\")","def Build(self, out_file):\n raise NotImplementedError","def build(root):","def build(self):\n self.puts(colored.blue(\"Building project...\"))\n\n if os.path.exists(self.build_path):\n shutil.rmtree(self.build_path)\n os.makedirs(self.build_path)\n\n with indent(2):\n self._reset_build_sequence_id()\n self._build_pre_project_template()\n self._build_project_template()\n self._build_pre_resources_template()\n self._build_resources_template()\n self._build_post_resources_template()","def build(self, gyp_file, target=None, **kw):\n raise NotImplementedError","def build():\n local('wintersmith build')","def build(c):","def build():\n click.echo(\"start build your pelican project...\")\n # copy_mathjax(PUBLISHDIR)\n \n cmd = \"pelican {INPUTDIR} -o {PUBLISHDIR} -s {PUBLISHCONF}\".format(\n INPUTDIR=INPUTDIR,\n PUBLISHCONF=PUBLISHCONF,\n PUBLISHDIR=PUBLISHDIR\n )\n\n click.echo('start run cmd: {0}'.format(cmd))\n ret = subprocess.call(cmd, shell=True)\n\n click.echo('running result is:{0}'.format(ret))","def build_step(self):\n run_cmd('./compile.sh', log_all=True, simple=True, log_ok=True)","def build(self):\n if os.path.exists(self.build_path) and not os.path.isdir(self.build_path):\n self._logger.error('Output path must be a folder if it already exists')\n return\n Compiler._mkdir(self.build_path)\n self._execute_backend_on_spec()","def build(config_file, install=False):\n return exec_fn(lambda: _build(config_file, install))","def build_all():\n client = TestClient()\n client.save({\"conanfile.py\": GenConanfile().with_setting(\"build_type\")})\n client.run(\"export . --name=foo --version=1.0 --user=user --channel=testing\")\n client.save({\"conanfile.py\": GenConanfile().with_require(\"foo/1.0@user/testing\")\n .with_setting(\"build_type\")})\n client.run(\"export . --name=bar --version=1.0 --user=user --channel=testing\")\n client.save({\"conanfile.py\": GenConanfile().with_require(\"foo/1.0@user/testing\")\n .with_require(\"bar/1.0@user/testing\")\n .with_setting(\"build_type\")})\n client.run(\"export . --name=foobar --version=1.0 --user=user --channel=testing\")\n client.run(\"install --requires=foobar/1.0@user/testing --build='*'\")\n return client","def build(working_directory=None, args=None):\n from .buildme import main\n if args is None:\n args = []\n return main(working_directory, args)","def build(ctx):\n generate_build_files(ctx)\n compile_build_files(ctx)\n _package_plugins(ctx)","def pkgbuildContentBuild( self, pars, directory ):\n\n return \"\"\"\\\n # If your package requires compilation, insert your build code here\n cd \"${srcdir}/${pkgname}-${pkgver}\"\n echo Building ...\\\n\"\"\"","def build(self):\n logging.info('Build %s of %s (%s)', self._build, self.name,\n self.working_dir)\n self._build += 1\n self._event = None\n status = self._builder.execute_script(self.working_dir, self.script)\n self._show_notification(status)","def _build(self):","def _build(self):","def build(self):\n pass","def build(self):\n pass","def build(self, *args, **kwargs):\n return","def build(self):\n env = ConfigureEnvironment(self.deps_cpp_info, self.settings)\n\n set_path_command = \"\"\n # Download nasm as build tool. This should go to source()\n if self.options.SSE == True:\n if self.settings.os == \"Linux\":\n # TODO: We should build nasm from source then.\n self.options.SSE = False # Or is removing here better? I'm not familiar with python..\n else:\n nasm_version = \"2.12.02\"\n nasm_os_url_id = \"\" #nasm url identifier\n if self.settings.os == \"Windows\":\n if self.settings.arch == \"x86\":\n nasm_os_url_id = \"win32\"\n else:\n nasm_os_url_id = \"win64\" \n elif self.settings.os == \"Macos\":\n nasm_os_url_id = \"macosx\"\n nasm_folder_name = \"nasm-%s-%s\" % (nasm_version, nasm_os_url_id)\n nasm_zip_name = \"%s.zip\" % nasm_folder_name\n download(\"http://www.nasm.us/pub/nasm/releasebuilds/%s/%s/%s\" % (nasm_version, nasm_os_url_id, nasm_zip_name), nasm_zip_name)\n self.output.warn(\"Downloading nasm: http://www.nasm.us/pub/nasm/releasebuilds/%s/%s/%s\" % (nasm_version, nasm_os_url_id, nasm_zip_name))\n unzip(nasm_zip_name)\n os.unlink(nasm_zip_name)\n nasm_path = os.path.join(os.getcwd(), nasm_folder_name)\n\n #env.environ[\"PATH\"] += os.pathsep + nasm_path #its probably as easy as this, but i cant append to the path self.run operates in.\n if self.settings.os == \"Windows\":\n set_path_command = \"set \\\"PATH=%s\\\" &&\" % os.environ[\"PATH\"]\n else:\n set_path_command = \"PATH=\\\"%s\\\" &&\" % os.environ[\"PATH\"]\n\n if self.settings.os == \"Linux\" or self.settings.os == \"Macos\":\n if self.options.fPIC:\n env_line = env.command_line.replace('CFLAGS=\"', 'CFLAGS=\"-fPIC ')\n else:\n env_line = env.command_line\n self.run(\"cd %s && autoreconf -fiv\" % self.ZIP_FOLDER_NAME)\n config_options = \"\"\n if self.settings.arch == \"x86\":\n if self.settings.os == \"Linux\":\n config_options = \"--host i686-pc-linux-gnu CFLAGS='-O3 -m32' LDFLAGS=-m32\"\n else:\n config_options = \"--host i686-apple-darwin CFLAGS='-O3 -m32' LDFLAGS=-m32\"\n\n if self.settings.os == \"Macos\":\n old_str = '-install_name \\$rpath/\\$soname'\n new_str = '-install_name \\$soname'\n replace_in_file(\"./%s/configure\" % self.ZIP_FOLDER_NAME, old_str, new_str)\n\n self.run(\"cd %s && %s ./configure %s\" % (self.ZIP_FOLDER_NAME, env_line, config_options))\n self.run(\"cd %s && %s make\" % (self.ZIP_FOLDER_NAME, env_line))\n else: # We should (for simplicity) always use cmake shouldnt we?\n conan_magic_lines = '''project(libjpeg-turbo)\n cmake_minimum_required(VERSION 3.0)\n include(../conanbuildinfo.cmake)\n CONAN_BASIC_SETUP()\n '''\n replace_in_file(\"%s/CMakeLists.txt\" % self.ZIP_FOLDER_NAME, \"cmake_minimum_required(VERSION 2.8.8)\", conan_magic_lines)\n replace_in_file(\"%s/CMakeLists.txt\" % self.ZIP_FOLDER_NAME, \"project(libjpeg-turbo C)\", \"\")\n \n cmake = CMake(self.settings)\n builddir = os.path.join(self.ZIP_FOLDER_NAME, \"_build\")\n\n if os.path.exists(builddir):\n shutil.rmtree(builddir) # We need to remove this folder first for windows\n os.makedirs(builddir)\n\n cmake_options = []\n if self.options.shared == True:\n cmake_options += [\"-DENABLE_STATIC=0\"]\n else:\n cmake_options = [\"-DENABLE_SHARED=0\"]\n cmake_options += [\"-DWITH_SIMD=%s\" % \"1\" if self.options.SSE else \"0\"]\n\n # why this comment: \"Don't change runtime, conan will take care of\"? conan_basic_setup() runs before this cmake option replaces MT with MD again\n cmake_options += [\"-DWITH_CRT_DLL=%s\" % \"1\" if self.settings.compiler.runtime == \"MD\" or self.settings.compiler.runtime == \"MDd\" else \"0\"]\n\n self.run('%s cd %s && cmake .. %s %s' % (set_path_command, builddir, cmake.command_line, \" \".join(cmake_options)))\n self.run(\"%s cd %s && cmake --build . %s\" % (set_path_command, builddir, cmake.build_config))","def build(self) -> None:","def run():\n build_no_documentation()\n build_sphinx_build()\n #build_sphinx_pdf()\n build_graphviz_files()","def build_in_dir(self, build_dir: str):\n # Only build this task if it hasn't already been built\n if True: # not os.path.exists(FRONTEND_BUILD_DIR):\n self.rebuild_core()\n\n # Copy the built core and the given task file to the target path\n bundle_js_file = os.path.join(self.FRONTEND_BUILD_DIR, \"bundle.js\")\n target_resource_dir = os.path.join(build_dir, \"static\")\n target_path = os.path.join(target_resource_dir, \"bundle.js\")\n shutil.copy2(bundle_js_file, target_path)\n\n copied_static_file = os.path.join(\n self.FRONTEND_SOURCE_DIR, \"src\", \"static\", \"index.html\"\n )\n target_path = os.path.join(target_resource_dir, \"index.html\")\n shutil.copy2(copied_static_file, target_path)\n\n # Write a built file confirmation\n with open(os.path.join(build_dir, self.BUILT_FILE), \"w+\") as built_file:\n built_file.write(self.BUILT_MESSAGE)","def build_code(self):\n if not path.isfile(path.join(self.tmpdir, 'requirements.txt')):\n return\n\n oldpwd = os.getcwd()\n os.chdir(self.tmpdir)\n\n call('pip install --requirement requirements.txt --target .'.split(' '))\n\n # We need to create a __init__.py per code directory without it.\n # This is required to not create a PYTHONPATH with all directories.\n #\n for (current_dir, directories, files) in os.walk('.', topdown=False):\n if current_dir.endswith('.dist-info'):\n # This is a python metadirectory, we can skip it\n continue\n namespacer = path.join(current_dir, '__init__.py')\n if not path.isfile(namespacer):\n print(\"Creating file {0}\".format(namespacer))\n with open(namespacer, 'w') as nmf:\n nmf.write('# File Generated by lambdamanager packager')\n\n os.chdir(oldpwd)","def build(self):\n logging.info(\"Building %s\", self.path)\n\n data = self.render()\n\n # Make sure a folder for the output path exists\n try: os.makedirs(os.path.dirname(self.paths['full-build']))\n except OSError: pass\n\n # Write the data to the output file\n f = codecs.open(self.paths['full-build'], 'w', 'utf-8')\n f.write(data)\n f.close()\n\n # Run all plugins\n self.site.pluginMethod('postBuildPage', self.site, self.paths['full-build'])","def main():\n \n usage = \"\"\"usage: %prog [target]\nTargets :\n\tall\t\tCompile all projects in csunplugged directory\n\tindex\t\tCreate the index page\n\tdirectory\tCompile single project in csunplugged directory\n \"\"\"\n parser = optparse.OptionParser(usage)\n \n (options, args) = parser.parse_args()\n if not (len(args) == 1) :\n parser.error('incorrect number of arguments')\n \n if args[0]=='all' :\n build_all()\n \n elif args[0]=='index' :\n make_index_page()\n \n else :\n jsFile = args[0] + '.js'\n jsFilePath = os.path.join(csunpluggedPath, args[0], jsFile)\n if not os.path.exists(jsFilePath) :\n print 'Can not found ' + jsFilePath+'\\n' \n else :\n \tbuild(args[0])","def getBuild():","def build_in_dir(self, build_dir: str):\n target_resource_dir = os.path.join(build_dir, \"static\")\n\n # If any additional task files are required via a source_dir, copy those as well\n extra_dir_path = self.args.blueprint.get(\"extra_source_dir\", None)\n if extra_dir_path is not None:\n extra_dir_path = os.path.expanduser(extra_dir_path)\n copy_tree(extra_dir_path, target_resource_dir)\n\n # Copy the built core and the given task file to the target path\n use_bundle = os.path.expanduser(self.args.blueprint.task_source)\n target_path = os.path.join(target_resource_dir, \"bundle.js\")\n\n should_link_task_source = self.args.blueprint.get(\"link_task_source\", False)\n if should_link_task_source:\n os.symlink(use_bundle, target_path)\n else:\n shutil.copy2(use_bundle, target_path)\n\n # Write a built file confirmation\n with open(os.path.join(build_dir, self.BUILT_FILE), \"w+\") as built_file:\n built_file.write(self.BUILT_MESSAGE)","def build(ctx: typer.Context):\n from .tasks import build, main\n\n sys.argv = sys.argv[:1] + (ctx.args or [\"list\"])\n main(vars(build))","def build( c ):\n\n print(\"Building Please Respond...\")\n c.run( \"pyinstaller -y please_respond.py\" )","def build_all(self):\n self.android_build()\n self.generate_patch_build('')\n self.generate_specs_build()\n self.generate_interfaces()","def build(self):","def build(self):","def build(self):","def main():\r\n\r\n # Init build folder\r\n\r\n print(\"Checking 'build' directory...\")\r\n\r\n if not os.path.isdir(BUILD_DIR_PATH):\r\n os.mkdir(BUILD_DIR_PATH)\r\n\r\n # Build resources\r\n\r\n print(\"Checking resources directory...\")\r\n\r\n if os.path.isdir(RESOURCES_DIR_PATH):\r\n print(\"Resources directory exists. Performing cleanup.\")\r\n shutil.rmtree(RESOURCES_DIR_PATH, ignore_errors=True)\r\n\r\n print(\"Building resources...\")\r\n\r\n shutil.copytree(\"resources/images\", IMAGES_DIR_PATH)\r\n\r\n # Build static page\r\n\r\n print(\"Building static page...\")\r\n\r\n os.chdir(BUILD_DIR_PATH)\r\n lib.fresh_tomatoes.open_movies_page(data.entertainment_center.MOVIES)\r\n\r\n print(\"Build complete!\")","def ui_root(filename):\n return send_build(filename)","def build():\n gulp('build')","def build():\n local('python' + python_version + ' setup.py bdist_egg')","def build(self):\n self.logger.debug(\"run\")\n\n self.onInit()\n self.work()\n \n self.afterWork()\n\n template = Templateengine(self.currenttemplate)\n template.readTemplateFile()\n contenttype = self.settings.contenttype \n self.defaultTemplateParameter()\n \n try:\n self.content = template.get(self.tplparam)\n except Exception as ex:\n Emergency.stop(ex)\n\n self.onDone()\n \n self.logger.debug(\"done\")","def grunt_build():\n local('cd {{ project_name }} && grunt build')","def main():\n if len(sys.argv) != 2:\n print('USAGE:\\tpython3 inoti_make.py <CONFIG_FILE>')\n exit(1)\n config = parse(sys.argv[1])\n listen_folders(config)","def build(ctx):\n ctx.run(\"vsce package\", replace_env=False)","def build_orc8r():\n subprocess.check_call('./build.py -a', shell=True, cwd=orc8_docker_path)","def build(path=None, output=None):\n conf.load(path)\n cache = Cache()\n if cache.processing_errors():\n for file_name, error in cache.processing_errors():\n message = \"error processing source file '%s' - %s\"\n logger.error(message % (file_name, error))\n if output:\n conf.set('build_path', output)\n logger.info('build directory: ' + conf.get('build_path'))\n for builder in builders.order():\n builder(cache)","def __init__(self):\n BuildSystemBase.__init__(self, \"makefile\")","def build(c, path=\"../..\", name=\"testapp\"):\n if not os.name in [\"nt\", \"posix\"]:\n print(\"Sorry. this only supports Posix (e.g. Linux, OSX) and Windows OS. \")\n sys.exit()\n\n path=os.path.normpath(path)\n print(\"Building : -n {} -p {} \".format(name, path))\n if os.path.exists(os.path.join(path, name)):\n print(\"sorry, path {} exists\".format(os.path.abspath(os.path.join(path, name))))\n r=input(\" .. type y or yes, to go ahead deleting the existing: {} ? : \".format(os.path.join(path,name)))\n if r in [\"y\", \"yes\"]:\n import shutil\n r=shutil.rmtree(os.path.join(path,name))\n print(40*\"-\")\n print(\" ..... deleted dir tree: {}\".format(os.path.join(path, name)))\n print(40*\"-\")\n build_all(c,name, path)\n else:\n print(40*\"-\")\n print(\" ok, exiting...\")\n print(40*\"-\")\n sys.exit()\n else:\n # start the build and check\n build_all(c,name, path)","def actionBuild():\n\n #Init builder logger\n Builder.init()\n\n for target in Settings.targets:\n targetsToBuild, combineLibs, copyToOutput = Builder.getTargetGnPath(target)\n for platform in Settings.targetPlatforms:\n for cpu in Settings.targetCPUs:\n if System.checkIfCPUIsSupportedForPlatform(cpu,platform):\n for configuration in Settings.targetConfigurations:\n if not Summary.checkIfActionFailed(ACTION_PREPARE, target, platform, cpu, configuration):\n Logger.printStartActionMessage('Build ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.YELLOW)\n result = Builder.run(target, targetsToBuild, platform, cpu, configuration, combineLibs, copyToOutput)\n Summary.addSummary(ACTION_BUILD, target, platform, cpu, configuration, result, Builder.executionTime)\n if result != NO_ERROR:\n Logger.printEndActionMessage('Failed building ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.RED)\n #Terminate script execution if stopExecutionOnError is set to True in userdef\n shouldEndOnError(result)\n else:\n Logger.printEndActionMessage('Build ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration)\n else:\n Logger.printColorMessage('Build cannot run because preparation has failed for ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.YELLOW)\n Logger.printEndActionMessage('Build not run for ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.YELLOW)","def parse(self, **globalargs):\r\n if self.buildfile not in ParseContext._parsed:\r\n buildfile_family = tuple(self.buildfile.family())\r\n\r\n pants_context = self.default_globals(Config.load())\r\n\r\n with ParseContext.activate(self):\r\n for buildfile in buildfile_family:\r\n self._active_buildfile = buildfile\r\n # We may have traversed a sibling already, guard against re-parsing it.\r\n if buildfile not in ParseContext._parsed:\r\n ParseContext._parsed.add(buildfile)\r\n\r\n buildfile_dir = os.path.dirname(buildfile.full_path)\r\n\r\n # TODO(John Sirois): XXX imports are done here to prevent a cycles\r\n from twitter.pants.targets.jvm_binary import Bundle\r\n from twitter.pants.targets.sources import SourceRoot\r\n\r\n class RelativeBundle(Bundle):\r\n def __init__(self, mapper=None, relative_to=None):\r\n super(RelativeBundle, self).__init__(\r\n base=buildfile_dir,\r\n mapper=mapper,\r\n relative_to=relative_to)\r\n\r\n # TODO(John Sirois): This is not build-dictionary friendly - rework SourceRoot to allow\r\n # allow for doc of both register (as source_root) and source_root.here(*types).\r\n class RelativeSourceRoot(object):\r\n @staticmethod\r\n def here(*allowed_target_types):\r\n \"\"\"Registers the cwd as a source root for the given target types.\"\"\"\r\n SourceRoot.register(buildfile_dir, *allowed_target_types)\r\n\r\n def __init__(self, basedir, *allowed_target_types):\r\n SourceRoot.register(os.path.join(buildfile_dir, basedir), *allowed_target_types)\r\n\r\n eval_globals = copy.copy(pants_context)\r\n eval_globals.update({\r\n 'ROOT_DIR': buildfile.root_dir,\r\n '__file__': buildfile.full_path,\r\n 'globs': partial(Fileset.globs, root=buildfile_dir),\r\n 'rglobs': partial(Fileset.rglobs, root=buildfile_dir),\r\n 'zglobs': partial(Fileset.zglobs, root=buildfile_dir),\r\n 'source_root': RelativeSourceRoot,\r\n 'bundle': RelativeBundle\r\n })\r\n eval_globals.update(globalargs)\r\n Compatibility.exec_function(buildfile.code(), eval_globals)","def build():\n click.secho('Creating package ...')\n pkg = utils.create_package()\n click.secho('Package created: {}'.format(pkg), fg='green')\n click.secho('Creating wheel...')\n wheel_path = utils.create_wheel()\n click.secho('Wheel created in {}'.format(wheel_path), fg='green')","def do_build():\n tmp_dir = Path(tempfile.mkdtemp())\n (tmp_dir / \"integrations-docs.js\").write_text(render_js_module(collect_docs(), *collect_metrics(), collect_meta()))\n\n symlink_images(tmp_dir)\n\n shutil.rmtree(OUT_DIR, ignore_errors=True)\n tmp_dir.replace(OUT_DIR)","def _build(self):\n raise NotImplementedError()","def project():","def project():","def project():","def pre_build(self):","def build(target_dir):\n prepare_demo_site(target_dir)\n\n patch_config(\n target_dir, (\"# CREATE_FULL_ARCHIVES = False\", \"CREATE_FULL_ARCHIVES = True\")\n )\n\n with cd(target_dir):\n __main__.main([\"build\"])","def build_command(self, args):\n self._validate_common(args)\n self._set_manifests(args)\n\n manifest = self._manager._recipes\n\n records = self._get_matching_records(args, manifest)\n\n if not len(records):\n sys.exit(\"No matching items found.\")\n\n for record in records:\n result = self._manager.build(record['_type'], **record)\n print('The requested asset has been built: {}'.format(result['_path']))\n\n if len(records) > 1:\n print('All files have been successfully built. Thank you.')","def build(filename, verbose):\n set_verbosity(verbose)\n hokusai.build(filename)","def __init__(self, root_dir, relpath, must_exist=True):\r\n\r\n path = os.path.abspath(os.path.join(root_dir, relpath))\r\n buildfile = os.path.join(path, BuildFile._CANONICAL_NAME) if os.path.isdir(path) else path\r\n\r\n if os.path.isdir(buildfile):\r\n raise IOError(\"%s is a directory\" % buildfile)\r\n\r\n if must_exist:\r\n if not os.path.exists(buildfile):\r\n raise IOError(\"BUILD file does not exist at: %s\" % buildfile)\r\n\r\n if not BuildFile._is_buildfile_name(os.path.basename(buildfile)):\r\n raise IOError(\"%s is not a BUILD file\" % buildfile)\r\n\r\n if not os.path.exists(buildfile):\r\n raise IOError(\"BUILD file does not exist at: %s\" % buildfile)\r\n\r\n self.root_dir = os.path.realpath(root_dir)\r\n self.full_path = os.path.realpath(buildfile)\r\n\r\n self.name = os.path.basename(self.full_path)\r\n self.parent_path = os.path.dirname(self.full_path)\r\n\r\n self._bytecode_path = os.path.join(self.parent_path, '.%s.%s.pyc' % (\r\n self.name, PythonIdentity.get()))\r\n\r\n self.relpath = os.path.relpath(self.full_path, self.root_dir)\r\n self.canonical_relpath = os.path.join(os.path.dirname(self.relpath), BuildFile._CANONICAL_NAME)","def build(self, progname):\n self.run_programm(self.COMPILED[self.progtype][0], \"%s %s %s\" %\\\n (progname, self.COMPILED[self.progtype][1], COMPILED_FILENAME ))\n\n compiled_progname=COMPILED_FILENAME\n return compiled_progname","def main():\n log = get_logger(\"bakery.bake.main\")\n config = configure()\n\n bake_instructions = PREAMBLE + open(config.bakefile).read()\n\n try:\n exec(bake_instructions, globals())\n log.info(fg.bright.green(\"BUILD SUCCEEDED\"))\n except Exception as e:\n build.critical = True\n log.error(str(e))\n if DEBUG:\n log.exception(\"Exception details follow.\")\n log.info(fg.bright.red(\"BUILD FAILED\"))\n\n if build.build_count == 0 and not build.critical:\n log.warn(\n ansilog.Node.list(\n \"Nothing was built, did you forget to decorate your module with \",\n fg.bright.yellow(\"@build\"),\n \"?\",\n )\n )\n\n sys.exit(0)","def build(self, file_number, data):\n pass","def test_build(self):\n self.app.build()","def move_files_into_build():\n build_root = os.path.join(template_path, 'build')\n create_python_package(build_root)\n\n build_buildbot = os.path.join(template_path, 'build', 'buildbot')\n create_python_package(build_buildbot)\n\n pythonify('runtests', [], ['build']) \n pythonify('master.cfg', ['buildbot'], ['build', 'buildbot'])","def pre_build_hook(self):","def h(options, buildout, version, opts):\n cwd = os.getcwd()\n md = options['compile-directory']\n c = os.path.join(md, 'configure.py')\n os.chdir(md)\n p = buildout['p'][version]\n opts = ' '.join(opts.split())\n cmd = [p, c, opts]\n print \"Running: %s\" % ' '.join(cmd)\n ret = os.system(' '.join(cmd))\n if ret > 0: raise Exception,('Cannot confiure')\n os.chdir(cwd)","def buildout(self):\n # Already configured\n if os.path.exists(self.custom_conf):\n return\n\n eggs = self.env.get(\"PLONE_ADDONS\",\n self.env.get(\"ADDONS\", \"\")).strip().split()\n if not eggs:\n eggs = self.env.get(\"BUILDOUT_EGGS\", \"\").strip().split()\n if eggs:\n warnings.warn(\n \"BUILDOUT_EGGS is deprecated. Please use \"\n \"PLONE_ADDONS instead !!!\", DeprecationWarning)\n\n zcml = self.env.get(\"PLONE_ZCML\",\n self.env.get(\"ZCML\", \"\")).strip().split()\n if not zcml:\n zcml = self.env.get(\"BUILDOUT_ZCML\", \"\").strip().split()\n if zcml:\n warnings.warn(\n \"BUILDOUT_ZCML is deprecated. Please use \"\n \"PLONE_ZCML instead !!!\", DeprecationWarning)\n\n develop = self.env.get(\"PLONE_DEVELOP\",\n self.env.get(\"DEVELOP\", \"\")).strip().split()\n if not develop:\n develop = self.env.get(\"BUILDOUT_DEVELOP\", \"\").strip().split()\n if develop:\n warnings.warn(\n \"BUILDOUT_DEVELOP is deprecated. Please use \"\n \"PLONE_DEVELOP instead !!!\", DeprecationWarning)\n\n if not (eggs or zcml or develop):\n return\n\n buildout = BUILDOUT_TEMPLATE.format(\n eggs=\"\\n\\t\".join(eggs),\n zcml=\"\\n\\t\".join(zcml),\n develop=\"\\n\\t\".join(develop)\n )\n\n with open(self.custom_conf, 'w') as cfile:\n cfile.write(buildout)","def run(self, args=[]):\n # Assert correct configuration.\n assert self.c.cbb.config, 'An empty configuration was specified.'\n assert self.c.cbb.builddir, 'A build directory name must be specified.'\n\n # Load properties from the commit being processed. This requires both a\n # repository and revision to proceed.\n repository = self.m.properties.get('repository')\n revision = self.m.properties.get('revision')\n if repository and revision:\n # Pull more information from the commit if it came from certain known\n # repositories.\n if (self.c.use_chrome_version and\n self.check_repository('chromium', repository)):\n # If our change comes from a Chromium repository, add the\n # '--chrome_version' flag.\n self.c.cbb.chrome_version = self.m.properties['revision']\n if (self.c.read_cros_manifest and\n self.check_repository('cros_manifest', repository)):\n # This change comes from a manifest repository. Load configuration\n # parameters from the manifest command.\n self.load_manifest_config(repository, revision)\n\n buildroot = self.m.path['root'].join('cbuild', self.c.cbb.builddir)\n cbb_args = [\n '--buildroot', buildroot,\n ]\n if not args:\n cbb_args.append('--buildbot')\n if self.c.chromite_branch and not self.c.cbb.disable_bootstrap:\n cbb_args.extend(['--branch', self.c.chromite_branch])\n if self.c.cbb.build_number is not None:\n cbb_args.extend(['--buildnumber', self.c.cbb.build_number])\n if self.c.cbb.chrome_rev:\n cbb_args.extend(['--chrome_rev', self.c.cbb.chrome_rev])\n if self.c.cbb.debug:\n cbb_args.extend(['--debug'])\n if self.c.cbb.clobber:\n cbb_args.extend(['--clobber'])\n if self.c.cbb.chrome_version:\n cbb_args.extend(['--chrome_version', self.c.cbb.chrome_version])\n if self.c.cbb.config_repo:\n cbb_args.extend(['--config_repo', self.c.cbb.config_repo])\n if self.c.repo_cache_dir and self.c.cbb.supports_repo_cache:\n cbb_args.extend(['--repo-cache', self.c.repo_cache_dir])\n\n # Set the build ID, if specified.\n if self.c.cbb.build_id:\n cbb_args.extend(['--master-build-id', self.c.cbb.build_id])\n\n # Add custom args, if there are any.\n cbb_args.extend(args)\n\n # Run cbuildbot.\n return self.cbuildbot(str('cbuildbot [%s]' % (self.c.cbb.config,)),\n self.c.cbb.config,\n args=cbb_args,\n cwd=self.m.path['slave_build'])","def run() -> ():\n if len(sys.argv) > 1:\n show_help()\n errs = get_cargo_input()\n main_stack = make_proj_stack(errs)\n while len(main_stack) > 0:\n file_stack = make_file_stack(main_stack)\n overwrite(file_stack)\n\n # FIXME","def test_build(self):\n self.createFakeSphinxProject()\n self.builder.build(self.sphinxDir)\n self.verifyBuilt()","def build (self):\n raise NotImplementedError","def build():\n\timport subprocess\n\tfrom os import listdir, getcwd\n\tfrom os.path import isfile, join\n\tonlyfiles = [f for f in listdir(getcwd()) if isfile(join(getcwd(), f))]\n\n\tif not 'requirements.txt' in onlyfiles:\n\t\traise SystemExit('File including depencencies not found. You will have to install them manually.')\n\n\tsubprocess.check_call([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'])\n\n\tprint('All dependencies installed successfully.\\nYou can run Simplex now!')","def build(self):\n cmakelist_prepend = '''\ninclude(${CMAKE_CURRENT_SOURCE_DIR}/../conanbuildinfo.cmake)\nCONAN_BASIC_SETUP()\noption(HPX_BUILD_EXAMPLES BOOL OFF)\noption(HPX_BUILD_TESTS BOOL OFF)\n'''\n \n replace_in_file(\"%s/CMakeLists.txt\" % self.folder, 'project(hpx CXX C)', 'project(hpx CXX C)\\n%s' % cmakelist_prepend)\n # Don't remove module path, keep the previous\n replace_in_file(\"%s/CMakeLists.txt\" % self.folder, 'set(CMAKE_MODULE_PATH', 'set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH}')\n # replace_in_file(\"%s/src/CMakeLists.txt\" % self.folder, \"if(NOT MSVC)\", \"if(0)\") # Not handle boost Boost_SYSTEM_LIBRARY_DEBUG or Boost_SYSTEM_SERIALIZATION_DEBUG\n \n # Maybe make a PR providing a new option to disable autolink? link against libraries not directories\n replace_in_file(\"%s/cmake/HPX_SetupBoost.cmake\" % self.folder, \"hpx_library_dir(${Boost_LIBRARY_DIRS})\", \"hpx_libraries(${Boost_LIBRARIES})\") # No auto-linking\n \n replace_in_file(\"%s/src/CMakeLists.txt\" % self.folder, \"${hpx_MALLOC_LIBRARY}\", \"${hpx_MALLOC_LIBRARY} ${Boost_SERIALIZATION_LIBRARY}\") # Not append boost libs\n \n cmake = CMake(self.settings)\n \n # Build\n# \n# # NO build examples nor tests\n# replace_in_file(\"%s/CMakeListsOriginal.cmake\" % self.folder, \"if(HPX_BUILD_EXAMPLES)\", \"if(FALSE)\")\n# replace_in_file(\"%s/CMakeListsOriginal.cmake\" % self.folder, \"if(HPX_BUILD_DOCUMENTATION)\", \"if(FALSE)\")\n# replace_in_file(\"%s/CMakeListsOriginal.cmake\" % self.folder, \"if(HPX_BUILD_TESTS)\", \"if(FALSE)\")\n# replace_in_file(\"%s/CMakeListsOriginal.cmake\" % self.folder, \"if(HPX_BUILD_TOOLS)\", \"if(FALSE)\")\n# \n # CONFIGURE\n self.run(\"cd %s && mkdir _build\" % self.folder)\n configure_command = 'cd %s/_build && cmake .. %s ' % (self.folder, cmake.command_line)\n self.output.warn(\"Configure with: %s\" % configure_command)\n self.run(configure_command)\n # BUILD\n cores = \"-j3\" if self.settings.os != \"Windows\" else \"\"\n self.run(\"cd %s/_build && cmake --build . %s -- %s\" % (self.folder, cmake.build_config, cores))","def _build(self, **kwargs):","def run(self):\n self.scion_sh('run', 'nobuild')","def main():\n\n parser = argparse.ArgumentParser(prog='Build', description='Python script for building apps for Pyinstaller')\n # Flag arguments\n parser.add_argument('--version', action='version', version='%(prog)s 1.0.0')\n parser.add_argument('--clean', '-c', action='store_true', default=False, help='Clean build before re-building.')\n parser.add_argument('--portable', '-p', action='store_true', default=False, help='Build with portable python (windows)')\n parser.add_argument('name', default=None, help='Name of app')\n inputs = parser.parse_args()\n if _PLATFORM == \"osx\":\n args = Args(\"Rummage.py\", inputs.name, True, inputs.clean, \".app\", abspath(\"_icons/rummage.icns\"))\n elif _PLATFORM == \"windows\":\n args = Args(\"Rummage.py\", inputs.name, True, inputs.clean, \".exe\", abspath(\"_icons\\\\rummage.ico\"), inputs.portable)\n else:\n args = Args(\n \"Rummage.py\", inputs.name, True, inputs.clean, \"\",\n imports=[\n \"gobject\", \"glib\", \"glib._glib\", \"glib.option\", \"object.constants\",\n \"gobject._gobject\", \"gobject.propertyhelper\", \"gtk\", \"gtk._gtk\"\n ]\n )\n\n # Parse options\n build_params = BuildParams()\n err = parse_options(args, build_params)\n\n # Build executable\n if not err:\n err = build(build_params)\n\n return err","def build(args):\n\n logging.info(\"Parsing configuration...\")\n try:\n config = {\"site\": configurator.get_config(os.path.join(args.src, args.configfile))}\n except Exception as exc:\n sys.exit(\"Error during configuration: \" + str(exc))\n\n if (args.autobaseurl):\n config[\"site\"][\"baseurl\"] = os.path.abspath(args.dest)\n\n logging.info(\"Loading and pre-processing content...\")\n if (os.path.isdir(os.path.join(args.src, paths.POSTS_PATH))):\n try:\n config[\"posts\"] = loader.get_from_folder(os.path.join(args.src, paths.POSTS_PATH), config)\n except ValueError as exc:\n sys.exit(\"Error loading posts: \" + str(exc))\n else:\n config[\"posts\"] = {}\n\n if (os.path.isdir(os.path.join(args.src, paths.PAGES_PATH))):\n try:\n config[\"pages\"] = loader.get_from_folder(os.path.join(args.src, paths.PAGES_PATH), config)\n except ValueError as exc:\n sys.exit(\"Error loading pages: \" + str(exc))\n else:\n config[\"pages\"] = {}\n\n logging.debug(\"Configuring Jinja2 environment...\")\n jinjaEnv = configurator.configure_jinja(config[\"site\"][\"theme\"], args.src)\n\n logging.debug(\"Initializing builder...\")\n Builder(jinjaEnv, config, args.src, args.dest, args.noclean).build()","def build(self):\n\n return True","def build(self):\n\n return True","def build(self):\n raise NotImplementedError(\"This should have been implemented.\")","def build(self):\n\n raise NotImplementedError(\"Implement build() method\")","def start_build(args):\n\n path = os.path.join(SCRATCH_DIR, args.project)\n \n # Set up virtual environment\n print(\"Setting up virtual python environment in %s\" % path)\n venv.create(path, clear=True, symlinks=True, with_pip=False)\n\n # Pull in repository data\n sourcepath = os.path.join(path, 'source')\n print(\"Cloning from git repository %s (branch: %s)\" % (args.source, args.sourcebranch))\n subprocess.run((GIT, 'clone', '--branch', args.sourcebranch, '--depth=1', '--no-single-branch', args.source, sourcepath),\n check=True)\n\n # Activate venv and install pips if needed. For dev/test, we will\n # assume that all requirements are available at the system level,\n # rather than needing to install them into the venv.\n ### note: this makes it difficult to test requirements.txt, but it\n ### will do for now. Debugging requirements.txt failures on the\n ### production buildbot is not difficult to correct.\n if IS_PRODUCTION and os.path.exists(os.path.join(sourcepath, 'requirements.txt')):\n print(\"Installing pips\")\n subprocess.run(('/bin/bash', '-c',\n 'source bin/activate; pip3 install -r source/requirements.txt'),\n cwd=path, check=True)\n else:\n print(\"On dev/test requirements.txt is not processed, skipping pip\")\n\n # Where are our tools?\n if IS_PRODUCTION:\n tool_dir = PELICANFILES\n else:\n tool_dir = THIS_DIR\n print(\"TOOLS:\", tool_dir)\n\n pelconf_yaml = os.path.join(sourcepath, AUTO_SETTINGS_YAML)\n if os.path.exists(pelconf_yaml):\n settings_path = os.path.join(path, AUTO_SETTINGS)\n if IS_PRODUCTION:\n builtin_plugins = PLUGINS\n else:\n builtin_plugins = os.path.join(tool_dir, os.pardir, 'plugins')\n generate_settings(pelconf_yaml, settings_path, [ builtin_plugins ], sourcepath)\n else:\n # The default name, but we'll pass it explicitly.\n settings_path = os.path.join(sourcepath, 'pelicanconf.py')\n\n # Set currently supported plugins\n ### this needs to be removed, as it is too indeterminate.\n with open(settings_path, 'a') as f:\n f.write(\"\"\"\ntry:\n PLUGINS += ['toc']\nexcept:\n PLUGINS = ['toc', 'gfm']\n\"\"\")\n\n # Call pelican\n buildpath = os.path.join(path, 'build/output')\n os.makedirs(buildpath, exist_ok = True)\n buildcmd = ('/bin/bash', '-c',\n 'source bin/activate; cd source && '\n ### note: adding --debug can be handy\n f'(pelican content --settings {settings_path} -o {buildpath})',\n )\n print(\"Building web site with:\", buildcmd)\n env = os.environ.copy()\n env['LIBCMARKDIR'] = LIBCMARKDIR\n subprocess.run(buildcmd, cwd=path, check=True, env=env)\n\n count = len(glob.glob(f'{buildpath}/**/*.html', recursive=True))\n print(f\"{count} html files.\")\n if args.count > 0 and args.count > count:\n print(\"Not enough html pages in the Web Site. Minimum %s > %s found in the Web Site.\" % (args.count, count))\n sys.exit(4)\n\n # Done for now\n print(\"Web site successfully generated!\")\n\n # It is much easier to do all the below, if we chdir()\n os.chdir(sourcepath)\n\n # Copy to result branch\n print(\"Copying web site to branch:\", args.outputbranch)\n\n try:\n subprocess.run((GIT, 'rev-parse', '--verify', \"origin/%s\" % args.outputbranch),\n check=True)\n print(\"- Doing fresh checkout of branch %s\" % args.outputbranch)\n subprocess.run((GIT, 'checkout', args.outputbranch, '-f'), check=True)\n subprocess.run((GIT, 'pull'), check=True)\n except:\n print(\"- Branch %s does not exist (yet), creating it...\" % args.outputbranch)\n # If .asf.yaml exists, which it should, make a copy of it in memory for later\n asfyml = os.path.join(sourcepath, '.asf.yaml')\n myyaml = None\n if os.path.exists(asfyml):\n myyaml = open(asfyml).read()\n subprocess.run((GIT, 'checkout', '--orphan', args.outputbranch), check=True)\n subprocess.run((GIT, 'rm', '-rf', '.'), check=True)\n # Add .asf.yaml back in if we found it.\n if myyaml:\n open(asfyml, \"w\").write(myyaml)\n subprocess.run((GIT, 'add', '.asf.yaml'), check=True)\n\n print(\"- Adding new content to branch\")\n # RM output dir if it already exists\n outputdir = os.path.join(sourcepath, 'output')\n if os.path.isdir(outputdir):\n print(\"Removing existing output dir %s\" % outputdir)\n shutil.rmtree(outputdir)\n shutil.move(buildpath, outputdir)\n subprocess.run((GIT, 'add', 'output/'), check=True)\n\n # Check if there are any changes.\n cp = subprocess.run((GIT, 'diff', '--cached', '--quiet'))\n if cp.returncode == 0:\n # There were no differences reported.\n print('Nothing new to commit. Ignoring this build.')\n else:\n print(\"- Committing to %s\" % args.source)\n subprocess.run((GIT, 'commit', '-m', 'Automatic Site Publish by Buildbot'), check=True)\n\n # If we're not in production, then avoid pushing changes.\n if IS_PRODUCTION:\n print('- Pushing changes, for publishing')\n subprocess.run((GIT, 'push', args.source, args.outputbranch), check=True)\n\n print('Success. Done.')\n # for dev/test provide viewing instructions\n if not IS_PRODUCTION:\n if args.listen:\n try:\n subprocess.run(('pelican','-l'), check=True)\n except KeyboardInterrupt:\n pass\n else:\n print(f'To test output:\\ncd {sourcepath}; pelican -l')","def build(self):\n raise NotImplementedError","def build (self, event = None):\r\n dialog = wx.FileDialog(self, 'Build Story', os.getcwd(), \"\", \\\r\n \"Web Page (*.html)|*.html\", \\\r\n wx.SAVE | wx.FD_OVERWRITE_PROMPT | wx.FD_CHANGE_DIR)\r\n \r\n if dialog.ShowModal() == wx.ID_OK:\r\n self.buildDestination = dialog.GetPath()\r\n self.rebuild(None, True)\r\n \r\n dialog.Destroy()","def build(cli_config, no_wipe, production, node_log_file):\n commands = AssetsCommands(cli_config)\n commands.update_statics_and_assets(\n force=not no_wipe, # If no_wipe=True, it means force=False\n flask_env=\"production\" if production else \"development\",\n log_file=node_log_file,\n )","def test(conanfile):\n with conanfile_exception_formatter(conanfile, \"test\"):\n with chdir(conanfile.build_folder):\n conanfile.test()","def compile(root, folder, filepathList):\n # Init param\n fpath = os.path.join(folder, \"current\")\n\n # YUIDoc don't need any exlude: vendor folder and min content are disable by default\n params = [\n \"yuidoc\",\n \"--outdir\", fpath,\n\t \"--themedir\", tmpl,\n root\n ]\n\n # Run everything (see launcher.py)\n launch(params)","def run_commands (self):\n cwd = os.getcwd()\n data = []\n data.append('config_dir = %r' % os.path.join(cwd, \"config\"))\n data.append(\"install_data = %r\" % cwd)\n data.append(\"install_scripts = %r\" % cwd)\n self.create_conf_file(data)\n super(MyDistribution, self).run_commands()","def test_build(self):\r\n self.mkbundle('file1', 'file2', output=\"out\").build()\r\n assert self.get(\"media/out\") == \"foo\\nbar\"","def index(filename):\n return send_from_directory(\"./build\", filename)","def build_root(event):\n mode = event.parameters['mode']\n if mode == 'from config':\n config = event.parameters['config']\n\n elif mode == 'from template':\n manager = event.workbench.get_plugin('exopy.tasks')\n view = TemplateSelector(event.parameters.get('widget'),\n manager=manager)\n result = view.exec_()\n if result:\n path = view.path\n config, _ = load_template(path)\n\n else:\n msg = 'Invalid mode (%s) for build_root. Valid ones are : %s'\n raise ValueError(msg % (mode, ('from config', 'from template')))\n\n if config:\n build_dep = event.parameters.get('build_dep', event.workbench)\n return build_task_from_config(config, build_dep, True)\n\n else:\n raise RuntimeError('No config for building')","def compile_package(self):\n build_package = [\n self.mock,\n '--root=%s' % self.root,\n '--arch=%s' % self.arch,\n '--shell',\n '/build_package.sh',\n \n ]\n output, errors = self._run_command(build_package)","def build(self):\n for component, type in self.__get_data(\"comps\").items():\n self.add_comp(component, type)\n\n self.logger.info('Build of {} finished'.format(self.name))"],"string":"[\n \"def build():\",\n \"def build(config):\",\n \"def build(_):\",\n \"def build(build_ctx: str, bentofile: str, version: str) -> None: # type: ignore (not accessed)\\n if sys.path[0] != build_ctx:\\n sys.path.insert(0, build_ctx)\\n\\n build_bentofile(bentofile, build_ctx=build_ctx, version=version)\",\n \"def build():\\n local('pelican -o {} -s pelicanconf.py'.format(env.deploy_path))\",\n \"def build(parameters):\\n\\n\\n print(\\\"In Build module\\\")\",\n \"def Build(self, out_file):\\n raise NotImplementedError\",\n \"def build(root):\",\n \"def build(self):\\n self.puts(colored.blue(\\\"Building project...\\\"))\\n\\n if os.path.exists(self.build_path):\\n shutil.rmtree(self.build_path)\\n os.makedirs(self.build_path)\\n\\n with indent(2):\\n self._reset_build_sequence_id()\\n self._build_pre_project_template()\\n self._build_project_template()\\n self._build_pre_resources_template()\\n self._build_resources_template()\\n self._build_post_resources_template()\",\n \"def build(self, gyp_file, target=None, **kw):\\n raise NotImplementedError\",\n \"def build():\\n local('wintersmith build')\",\n \"def build(c):\",\n \"def build():\\n click.echo(\\\"start build your pelican project...\\\")\\n # copy_mathjax(PUBLISHDIR)\\n \\n cmd = \\\"pelican {INPUTDIR} -o {PUBLISHDIR} -s {PUBLISHCONF}\\\".format(\\n INPUTDIR=INPUTDIR,\\n PUBLISHCONF=PUBLISHCONF,\\n PUBLISHDIR=PUBLISHDIR\\n )\\n\\n click.echo('start run cmd: {0}'.format(cmd))\\n ret = subprocess.call(cmd, shell=True)\\n\\n click.echo('running result is:{0}'.format(ret))\",\n \"def build_step(self):\\n run_cmd('./compile.sh', log_all=True, simple=True, log_ok=True)\",\n \"def build(self):\\n if os.path.exists(self.build_path) and not os.path.isdir(self.build_path):\\n self._logger.error('Output path must be a folder if it already exists')\\n return\\n Compiler._mkdir(self.build_path)\\n self._execute_backend_on_spec()\",\n \"def build(config_file, install=False):\\n return exec_fn(lambda: _build(config_file, install))\",\n \"def build_all():\\n client = TestClient()\\n client.save({\\\"conanfile.py\\\": GenConanfile().with_setting(\\\"build_type\\\")})\\n client.run(\\\"export . --name=foo --version=1.0 --user=user --channel=testing\\\")\\n client.save({\\\"conanfile.py\\\": GenConanfile().with_require(\\\"foo/1.0@user/testing\\\")\\n .with_setting(\\\"build_type\\\")})\\n client.run(\\\"export . --name=bar --version=1.0 --user=user --channel=testing\\\")\\n client.save({\\\"conanfile.py\\\": GenConanfile().with_require(\\\"foo/1.0@user/testing\\\")\\n .with_require(\\\"bar/1.0@user/testing\\\")\\n .with_setting(\\\"build_type\\\")})\\n client.run(\\\"export . --name=foobar --version=1.0 --user=user --channel=testing\\\")\\n client.run(\\\"install --requires=foobar/1.0@user/testing --build='*'\\\")\\n return client\",\n \"def build(working_directory=None, args=None):\\n from .buildme import main\\n if args is None:\\n args = []\\n return main(working_directory, args)\",\n \"def build(ctx):\\n generate_build_files(ctx)\\n compile_build_files(ctx)\\n _package_plugins(ctx)\",\n \"def pkgbuildContentBuild( self, pars, directory ):\\n\\n return \\\"\\\"\\\"\\\\\\n # If your package requires compilation, insert your build code here\\n cd \\\"${srcdir}/${pkgname}-${pkgver}\\\"\\n echo Building ...\\\\\\n\\\"\\\"\\\"\",\n \"def build(self):\\n logging.info('Build %s of %s (%s)', self._build, self.name,\\n self.working_dir)\\n self._build += 1\\n self._event = None\\n status = self._builder.execute_script(self.working_dir, self.script)\\n self._show_notification(status)\",\n \"def _build(self):\",\n \"def _build(self):\",\n \"def build(self):\\n pass\",\n \"def build(self):\\n pass\",\n \"def build(self, *args, **kwargs):\\n return\",\n \"def build(self):\\n env = ConfigureEnvironment(self.deps_cpp_info, self.settings)\\n\\n set_path_command = \\\"\\\"\\n # Download nasm as build tool. This should go to source()\\n if self.options.SSE == True:\\n if self.settings.os == \\\"Linux\\\":\\n # TODO: We should build nasm from source then.\\n self.options.SSE = False # Or is removing here better? I'm not familiar with python..\\n else:\\n nasm_version = \\\"2.12.02\\\"\\n nasm_os_url_id = \\\"\\\" #nasm url identifier\\n if self.settings.os == \\\"Windows\\\":\\n if self.settings.arch == \\\"x86\\\":\\n nasm_os_url_id = \\\"win32\\\"\\n else:\\n nasm_os_url_id = \\\"win64\\\" \\n elif self.settings.os == \\\"Macos\\\":\\n nasm_os_url_id = \\\"macosx\\\"\\n nasm_folder_name = \\\"nasm-%s-%s\\\" % (nasm_version, nasm_os_url_id)\\n nasm_zip_name = \\\"%s.zip\\\" % nasm_folder_name\\n download(\\\"http://www.nasm.us/pub/nasm/releasebuilds/%s/%s/%s\\\" % (nasm_version, nasm_os_url_id, nasm_zip_name), nasm_zip_name)\\n self.output.warn(\\\"Downloading nasm: http://www.nasm.us/pub/nasm/releasebuilds/%s/%s/%s\\\" % (nasm_version, nasm_os_url_id, nasm_zip_name))\\n unzip(nasm_zip_name)\\n os.unlink(nasm_zip_name)\\n nasm_path = os.path.join(os.getcwd(), nasm_folder_name)\\n\\n #env.environ[\\\"PATH\\\"] += os.pathsep + nasm_path #its probably as easy as this, but i cant append to the path self.run operates in.\\n if self.settings.os == \\\"Windows\\\":\\n set_path_command = \\\"set \\\\\\\"PATH=%s\\\\\\\" &&\\\" % os.environ[\\\"PATH\\\"]\\n else:\\n set_path_command = \\\"PATH=\\\\\\\"%s\\\\\\\" &&\\\" % os.environ[\\\"PATH\\\"]\\n\\n if self.settings.os == \\\"Linux\\\" or self.settings.os == \\\"Macos\\\":\\n if self.options.fPIC:\\n env_line = env.command_line.replace('CFLAGS=\\\"', 'CFLAGS=\\\"-fPIC ')\\n else:\\n env_line = env.command_line\\n self.run(\\\"cd %s && autoreconf -fiv\\\" % self.ZIP_FOLDER_NAME)\\n config_options = \\\"\\\"\\n if self.settings.arch == \\\"x86\\\":\\n if self.settings.os == \\\"Linux\\\":\\n config_options = \\\"--host i686-pc-linux-gnu CFLAGS='-O3 -m32' LDFLAGS=-m32\\\"\\n else:\\n config_options = \\\"--host i686-apple-darwin CFLAGS='-O3 -m32' LDFLAGS=-m32\\\"\\n\\n if self.settings.os == \\\"Macos\\\":\\n old_str = '-install_name \\\\$rpath/\\\\$soname'\\n new_str = '-install_name \\\\$soname'\\n replace_in_file(\\\"./%s/configure\\\" % self.ZIP_FOLDER_NAME, old_str, new_str)\\n\\n self.run(\\\"cd %s && %s ./configure %s\\\" % (self.ZIP_FOLDER_NAME, env_line, config_options))\\n self.run(\\\"cd %s && %s make\\\" % (self.ZIP_FOLDER_NAME, env_line))\\n else: # We should (for simplicity) always use cmake shouldnt we?\\n conan_magic_lines = '''project(libjpeg-turbo)\\n cmake_minimum_required(VERSION 3.0)\\n include(../conanbuildinfo.cmake)\\n CONAN_BASIC_SETUP()\\n '''\\n replace_in_file(\\\"%s/CMakeLists.txt\\\" % self.ZIP_FOLDER_NAME, \\\"cmake_minimum_required(VERSION 2.8.8)\\\", conan_magic_lines)\\n replace_in_file(\\\"%s/CMakeLists.txt\\\" % self.ZIP_FOLDER_NAME, \\\"project(libjpeg-turbo C)\\\", \\\"\\\")\\n \\n cmake = CMake(self.settings)\\n builddir = os.path.join(self.ZIP_FOLDER_NAME, \\\"_build\\\")\\n\\n if os.path.exists(builddir):\\n shutil.rmtree(builddir) # We need to remove this folder first for windows\\n os.makedirs(builddir)\\n\\n cmake_options = []\\n if self.options.shared == True:\\n cmake_options += [\\\"-DENABLE_STATIC=0\\\"]\\n else:\\n cmake_options = [\\\"-DENABLE_SHARED=0\\\"]\\n cmake_options += [\\\"-DWITH_SIMD=%s\\\" % \\\"1\\\" if self.options.SSE else \\\"0\\\"]\\n\\n # why this comment: \\\"Don't change runtime, conan will take care of\\\"? conan_basic_setup() runs before this cmake option replaces MT with MD again\\n cmake_options += [\\\"-DWITH_CRT_DLL=%s\\\" % \\\"1\\\" if self.settings.compiler.runtime == \\\"MD\\\" or self.settings.compiler.runtime == \\\"MDd\\\" else \\\"0\\\"]\\n\\n self.run('%s cd %s && cmake .. %s %s' % (set_path_command, builddir, cmake.command_line, \\\" \\\".join(cmake_options)))\\n self.run(\\\"%s cd %s && cmake --build . %s\\\" % (set_path_command, builddir, cmake.build_config))\",\n \"def build(self) -> None:\",\n \"def run():\\n build_no_documentation()\\n build_sphinx_build()\\n #build_sphinx_pdf()\\n build_graphviz_files()\",\n \"def build_in_dir(self, build_dir: str):\\n # Only build this task if it hasn't already been built\\n if True: # not os.path.exists(FRONTEND_BUILD_DIR):\\n self.rebuild_core()\\n\\n # Copy the built core and the given task file to the target path\\n bundle_js_file = os.path.join(self.FRONTEND_BUILD_DIR, \\\"bundle.js\\\")\\n target_resource_dir = os.path.join(build_dir, \\\"static\\\")\\n target_path = os.path.join(target_resource_dir, \\\"bundle.js\\\")\\n shutil.copy2(bundle_js_file, target_path)\\n\\n copied_static_file = os.path.join(\\n self.FRONTEND_SOURCE_DIR, \\\"src\\\", \\\"static\\\", \\\"index.html\\\"\\n )\\n target_path = os.path.join(target_resource_dir, \\\"index.html\\\")\\n shutil.copy2(copied_static_file, target_path)\\n\\n # Write a built file confirmation\\n with open(os.path.join(build_dir, self.BUILT_FILE), \\\"w+\\\") as built_file:\\n built_file.write(self.BUILT_MESSAGE)\",\n \"def build_code(self):\\n if not path.isfile(path.join(self.tmpdir, 'requirements.txt')):\\n return\\n\\n oldpwd = os.getcwd()\\n os.chdir(self.tmpdir)\\n\\n call('pip install --requirement requirements.txt --target .'.split(' '))\\n\\n # We need to create a __init__.py per code directory without it.\\n # This is required to not create a PYTHONPATH with all directories.\\n #\\n for (current_dir, directories, files) in os.walk('.', topdown=False):\\n if current_dir.endswith('.dist-info'):\\n # This is a python metadirectory, we can skip it\\n continue\\n namespacer = path.join(current_dir, '__init__.py')\\n if not path.isfile(namespacer):\\n print(\\\"Creating file {0}\\\".format(namespacer))\\n with open(namespacer, 'w') as nmf:\\n nmf.write('# File Generated by lambdamanager packager')\\n\\n os.chdir(oldpwd)\",\n \"def build(self):\\n logging.info(\\\"Building %s\\\", self.path)\\n\\n data = self.render()\\n\\n # Make sure a folder for the output path exists\\n try: os.makedirs(os.path.dirname(self.paths['full-build']))\\n except OSError: pass\\n\\n # Write the data to the output file\\n f = codecs.open(self.paths['full-build'], 'w', 'utf-8')\\n f.write(data)\\n f.close()\\n\\n # Run all plugins\\n self.site.pluginMethod('postBuildPage', self.site, self.paths['full-build'])\",\n \"def main():\\n \\n usage = \\\"\\\"\\\"usage: %prog [target]\\nTargets :\\n\\tall\\t\\tCompile all projects in csunplugged directory\\n\\tindex\\t\\tCreate the index page\\n\\tdirectory\\tCompile single project in csunplugged directory\\n \\\"\\\"\\\"\\n parser = optparse.OptionParser(usage)\\n \\n (options, args) = parser.parse_args()\\n if not (len(args) == 1) :\\n parser.error('incorrect number of arguments')\\n \\n if args[0]=='all' :\\n build_all()\\n \\n elif args[0]=='index' :\\n make_index_page()\\n \\n else :\\n jsFile = args[0] + '.js'\\n jsFilePath = os.path.join(csunpluggedPath, args[0], jsFile)\\n if not os.path.exists(jsFilePath) :\\n print 'Can not found ' + jsFilePath+'\\\\n' \\n else :\\n \\tbuild(args[0])\",\n \"def getBuild():\",\n \"def build_in_dir(self, build_dir: str):\\n target_resource_dir = os.path.join(build_dir, \\\"static\\\")\\n\\n # If any additional task files are required via a source_dir, copy those as well\\n extra_dir_path = self.args.blueprint.get(\\\"extra_source_dir\\\", None)\\n if extra_dir_path is not None:\\n extra_dir_path = os.path.expanduser(extra_dir_path)\\n copy_tree(extra_dir_path, target_resource_dir)\\n\\n # Copy the built core and the given task file to the target path\\n use_bundle = os.path.expanduser(self.args.blueprint.task_source)\\n target_path = os.path.join(target_resource_dir, \\\"bundle.js\\\")\\n\\n should_link_task_source = self.args.blueprint.get(\\\"link_task_source\\\", False)\\n if should_link_task_source:\\n os.symlink(use_bundle, target_path)\\n else:\\n shutil.copy2(use_bundle, target_path)\\n\\n # Write a built file confirmation\\n with open(os.path.join(build_dir, self.BUILT_FILE), \\\"w+\\\") as built_file:\\n built_file.write(self.BUILT_MESSAGE)\",\n \"def build(ctx: typer.Context):\\n from .tasks import build, main\\n\\n sys.argv = sys.argv[:1] + (ctx.args or [\\\"list\\\"])\\n main(vars(build))\",\n \"def build( c ):\\n\\n print(\\\"Building Please Respond...\\\")\\n c.run( \\\"pyinstaller -y please_respond.py\\\" )\",\n \"def build_all(self):\\n self.android_build()\\n self.generate_patch_build('')\\n self.generate_specs_build()\\n self.generate_interfaces()\",\n \"def build(self):\",\n \"def build(self):\",\n \"def build(self):\",\n \"def main():\\r\\n\\r\\n # Init build folder\\r\\n\\r\\n print(\\\"Checking 'build' directory...\\\")\\r\\n\\r\\n if not os.path.isdir(BUILD_DIR_PATH):\\r\\n os.mkdir(BUILD_DIR_PATH)\\r\\n\\r\\n # Build resources\\r\\n\\r\\n print(\\\"Checking resources directory...\\\")\\r\\n\\r\\n if os.path.isdir(RESOURCES_DIR_PATH):\\r\\n print(\\\"Resources directory exists. Performing cleanup.\\\")\\r\\n shutil.rmtree(RESOURCES_DIR_PATH, ignore_errors=True)\\r\\n\\r\\n print(\\\"Building resources...\\\")\\r\\n\\r\\n shutil.copytree(\\\"resources/images\\\", IMAGES_DIR_PATH)\\r\\n\\r\\n # Build static page\\r\\n\\r\\n print(\\\"Building static page...\\\")\\r\\n\\r\\n os.chdir(BUILD_DIR_PATH)\\r\\n lib.fresh_tomatoes.open_movies_page(data.entertainment_center.MOVIES)\\r\\n\\r\\n print(\\\"Build complete!\\\")\",\n \"def ui_root(filename):\\n return send_build(filename)\",\n \"def build():\\n gulp('build')\",\n \"def build():\\n local('python' + python_version + ' setup.py bdist_egg')\",\n \"def build(self):\\n self.logger.debug(\\\"run\\\")\\n\\n self.onInit()\\n self.work()\\n \\n self.afterWork()\\n\\n template = Templateengine(self.currenttemplate)\\n template.readTemplateFile()\\n contenttype = self.settings.contenttype \\n self.defaultTemplateParameter()\\n \\n try:\\n self.content = template.get(self.tplparam)\\n except Exception as ex:\\n Emergency.stop(ex)\\n\\n self.onDone()\\n \\n self.logger.debug(\\\"done\\\")\",\n \"def grunt_build():\\n local('cd {{ project_name }} && grunt build')\",\n \"def main():\\n if len(sys.argv) != 2:\\n print('USAGE:\\\\tpython3 inoti_make.py <CONFIG_FILE>')\\n exit(1)\\n config = parse(sys.argv[1])\\n listen_folders(config)\",\n \"def build(ctx):\\n ctx.run(\\\"vsce package\\\", replace_env=False)\",\n \"def build_orc8r():\\n subprocess.check_call('./build.py -a', shell=True, cwd=orc8_docker_path)\",\n \"def build(path=None, output=None):\\n conf.load(path)\\n cache = Cache()\\n if cache.processing_errors():\\n for file_name, error in cache.processing_errors():\\n message = \\\"error processing source file '%s' - %s\\\"\\n logger.error(message % (file_name, error))\\n if output:\\n conf.set('build_path', output)\\n logger.info('build directory: ' + conf.get('build_path'))\\n for builder in builders.order():\\n builder(cache)\",\n \"def __init__(self):\\n BuildSystemBase.__init__(self, \\\"makefile\\\")\",\n \"def build(c, path=\\\"../..\\\", name=\\\"testapp\\\"):\\n if not os.name in [\\\"nt\\\", \\\"posix\\\"]:\\n print(\\\"Sorry. this only supports Posix (e.g. Linux, OSX) and Windows OS. \\\")\\n sys.exit()\\n\\n path=os.path.normpath(path)\\n print(\\\"Building : -n {} -p {} \\\".format(name, path))\\n if os.path.exists(os.path.join(path, name)):\\n print(\\\"sorry, path {} exists\\\".format(os.path.abspath(os.path.join(path, name))))\\n r=input(\\\" .. type y or yes, to go ahead deleting the existing: {} ? : \\\".format(os.path.join(path,name)))\\n if r in [\\\"y\\\", \\\"yes\\\"]:\\n import shutil\\n r=shutil.rmtree(os.path.join(path,name))\\n print(40*\\\"-\\\")\\n print(\\\" ..... deleted dir tree: {}\\\".format(os.path.join(path, name)))\\n print(40*\\\"-\\\")\\n build_all(c,name, path)\\n else:\\n print(40*\\\"-\\\")\\n print(\\\" ok, exiting...\\\")\\n print(40*\\\"-\\\")\\n sys.exit()\\n else:\\n # start the build and check\\n build_all(c,name, path)\",\n \"def actionBuild():\\n\\n #Init builder logger\\n Builder.init()\\n\\n for target in Settings.targets:\\n targetsToBuild, combineLibs, copyToOutput = Builder.getTargetGnPath(target)\\n for platform in Settings.targetPlatforms:\\n for cpu in Settings.targetCPUs:\\n if System.checkIfCPUIsSupportedForPlatform(cpu,platform):\\n for configuration in Settings.targetConfigurations:\\n if not Summary.checkIfActionFailed(ACTION_PREPARE, target, platform, cpu, configuration):\\n Logger.printStartActionMessage('Build ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.YELLOW)\\n result = Builder.run(target, targetsToBuild, platform, cpu, configuration, combineLibs, copyToOutput)\\n Summary.addSummary(ACTION_BUILD, target, platform, cpu, configuration, result, Builder.executionTime)\\n if result != NO_ERROR:\\n Logger.printEndActionMessage('Failed building ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.RED)\\n #Terminate script execution if stopExecutionOnError is set to True in userdef\\n shouldEndOnError(result)\\n else:\\n Logger.printEndActionMessage('Build ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration)\\n else:\\n Logger.printColorMessage('Build cannot run because preparation has failed for ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.YELLOW)\\n Logger.printEndActionMessage('Build not run for ' + target + ' ' + platform + ' ' + cpu + ' ' + configuration,ColoredFormatter.YELLOW)\",\n \"def parse(self, **globalargs):\\r\\n if self.buildfile not in ParseContext._parsed:\\r\\n buildfile_family = tuple(self.buildfile.family())\\r\\n\\r\\n pants_context = self.default_globals(Config.load())\\r\\n\\r\\n with ParseContext.activate(self):\\r\\n for buildfile in buildfile_family:\\r\\n self._active_buildfile = buildfile\\r\\n # We may have traversed a sibling already, guard against re-parsing it.\\r\\n if buildfile not in ParseContext._parsed:\\r\\n ParseContext._parsed.add(buildfile)\\r\\n\\r\\n buildfile_dir = os.path.dirname(buildfile.full_path)\\r\\n\\r\\n # TODO(John Sirois): XXX imports are done here to prevent a cycles\\r\\n from twitter.pants.targets.jvm_binary import Bundle\\r\\n from twitter.pants.targets.sources import SourceRoot\\r\\n\\r\\n class RelativeBundle(Bundle):\\r\\n def __init__(self, mapper=None, relative_to=None):\\r\\n super(RelativeBundle, self).__init__(\\r\\n base=buildfile_dir,\\r\\n mapper=mapper,\\r\\n relative_to=relative_to)\\r\\n\\r\\n # TODO(John Sirois): This is not build-dictionary friendly - rework SourceRoot to allow\\r\\n # allow for doc of both register (as source_root) and source_root.here(*types).\\r\\n class RelativeSourceRoot(object):\\r\\n @staticmethod\\r\\n def here(*allowed_target_types):\\r\\n \\\"\\\"\\\"Registers the cwd as a source root for the given target types.\\\"\\\"\\\"\\r\\n SourceRoot.register(buildfile_dir, *allowed_target_types)\\r\\n\\r\\n def __init__(self, basedir, *allowed_target_types):\\r\\n SourceRoot.register(os.path.join(buildfile_dir, basedir), *allowed_target_types)\\r\\n\\r\\n eval_globals = copy.copy(pants_context)\\r\\n eval_globals.update({\\r\\n 'ROOT_DIR': buildfile.root_dir,\\r\\n '__file__': buildfile.full_path,\\r\\n 'globs': partial(Fileset.globs, root=buildfile_dir),\\r\\n 'rglobs': partial(Fileset.rglobs, root=buildfile_dir),\\r\\n 'zglobs': partial(Fileset.zglobs, root=buildfile_dir),\\r\\n 'source_root': RelativeSourceRoot,\\r\\n 'bundle': RelativeBundle\\r\\n })\\r\\n eval_globals.update(globalargs)\\r\\n Compatibility.exec_function(buildfile.code(), eval_globals)\",\n \"def build():\\n click.secho('Creating package ...')\\n pkg = utils.create_package()\\n click.secho('Package created: {}'.format(pkg), fg='green')\\n click.secho('Creating wheel...')\\n wheel_path = utils.create_wheel()\\n click.secho('Wheel created in {}'.format(wheel_path), fg='green')\",\n \"def do_build():\\n tmp_dir = Path(tempfile.mkdtemp())\\n (tmp_dir / \\\"integrations-docs.js\\\").write_text(render_js_module(collect_docs(), *collect_metrics(), collect_meta()))\\n\\n symlink_images(tmp_dir)\\n\\n shutil.rmtree(OUT_DIR, ignore_errors=True)\\n tmp_dir.replace(OUT_DIR)\",\n \"def _build(self):\\n raise NotImplementedError()\",\n \"def project():\",\n \"def project():\",\n \"def project():\",\n \"def pre_build(self):\",\n \"def build(target_dir):\\n prepare_demo_site(target_dir)\\n\\n patch_config(\\n target_dir, (\\\"# CREATE_FULL_ARCHIVES = False\\\", \\\"CREATE_FULL_ARCHIVES = True\\\")\\n )\\n\\n with cd(target_dir):\\n __main__.main([\\\"build\\\"])\",\n \"def build_command(self, args):\\n self._validate_common(args)\\n self._set_manifests(args)\\n\\n manifest = self._manager._recipes\\n\\n records = self._get_matching_records(args, manifest)\\n\\n if not len(records):\\n sys.exit(\\\"No matching items found.\\\")\\n\\n for record in records:\\n result = self._manager.build(record['_type'], **record)\\n print('The requested asset has been built: {}'.format(result['_path']))\\n\\n if len(records) > 1:\\n print('All files have been successfully built. Thank you.')\",\n \"def build(filename, verbose):\\n set_verbosity(verbose)\\n hokusai.build(filename)\",\n \"def __init__(self, root_dir, relpath, must_exist=True):\\r\\n\\r\\n path = os.path.abspath(os.path.join(root_dir, relpath))\\r\\n buildfile = os.path.join(path, BuildFile._CANONICAL_NAME) if os.path.isdir(path) else path\\r\\n\\r\\n if os.path.isdir(buildfile):\\r\\n raise IOError(\\\"%s is a directory\\\" % buildfile)\\r\\n\\r\\n if must_exist:\\r\\n if not os.path.exists(buildfile):\\r\\n raise IOError(\\\"BUILD file does not exist at: %s\\\" % buildfile)\\r\\n\\r\\n if not BuildFile._is_buildfile_name(os.path.basename(buildfile)):\\r\\n raise IOError(\\\"%s is not a BUILD file\\\" % buildfile)\\r\\n\\r\\n if not os.path.exists(buildfile):\\r\\n raise IOError(\\\"BUILD file does not exist at: %s\\\" % buildfile)\\r\\n\\r\\n self.root_dir = os.path.realpath(root_dir)\\r\\n self.full_path = os.path.realpath(buildfile)\\r\\n\\r\\n self.name = os.path.basename(self.full_path)\\r\\n self.parent_path = os.path.dirname(self.full_path)\\r\\n\\r\\n self._bytecode_path = os.path.join(self.parent_path, '.%s.%s.pyc' % (\\r\\n self.name, PythonIdentity.get()))\\r\\n\\r\\n self.relpath = os.path.relpath(self.full_path, self.root_dir)\\r\\n self.canonical_relpath = os.path.join(os.path.dirname(self.relpath), BuildFile._CANONICAL_NAME)\",\n \"def build(self, progname):\\n self.run_programm(self.COMPILED[self.progtype][0], \\\"%s %s %s\\\" %\\\\\\n (progname, self.COMPILED[self.progtype][1], COMPILED_FILENAME ))\\n\\n compiled_progname=COMPILED_FILENAME\\n return compiled_progname\",\n \"def main():\\n log = get_logger(\\\"bakery.bake.main\\\")\\n config = configure()\\n\\n bake_instructions = PREAMBLE + open(config.bakefile).read()\\n\\n try:\\n exec(bake_instructions, globals())\\n log.info(fg.bright.green(\\\"BUILD SUCCEEDED\\\"))\\n except Exception as e:\\n build.critical = True\\n log.error(str(e))\\n if DEBUG:\\n log.exception(\\\"Exception details follow.\\\")\\n log.info(fg.bright.red(\\\"BUILD FAILED\\\"))\\n\\n if build.build_count == 0 and not build.critical:\\n log.warn(\\n ansilog.Node.list(\\n \\\"Nothing was built, did you forget to decorate your module with \\\",\\n fg.bright.yellow(\\\"@build\\\"),\\n \\\"?\\\",\\n )\\n )\\n\\n sys.exit(0)\",\n \"def build(self, file_number, data):\\n pass\",\n \"def test_build(self):\\n self.app.build()\",\n \"def move_files_into_build():\\n build_root = os.path.join(template_path, 'build')\\n create_python_package(build_root)\\n\\n build_buildbot = os.path.join(template_path, 'build', 'buildbot')\\n create_python_package(build_buildbot)\\n\\n pythonify('runtests', [], ['build']) \\n pythonify('master.cfg', ['buildbot'], ['build', 'buildbot'])\",\n \"def pre_build_hook(self):\",\n \"def h(options, buildout, version, opts):\\n cwd = os.getcwd()\\n md = options['compile-directory']\\n c = os.path.join(md, 'configure.py')\\n os.chdir(md)\\n p = buildout['p'][version]\\n opts = ' '.join(opts.split())\\n cmd = [p, c, opts]\\n print \\\"Running: %s\\\" % ' '.join(cmd)\\n ret = os.system(' '.join(cmd))\\n if ret > 0: raise Exception,('Cannot confiure')\\n os.chdir(cwd)\",\n \"def buildout(self):\\n # Already configured\\n if os.path.exists(self.custom_conf):\\n return\\n\\n eggs = self.env.get(\\\"PLONE_ADDONS\\\",\\n self.env.get(\\\"ADDONS\\\", \\\"\\\")).strip().split()\\n if not eggs:\\n eggs = self.env.get(\\\"BUILDOUT_EGGS\\\", \\\"\\\").strip().split()\\n if eggs:\\n warnings.warn(\\n \\\"BUILDOUT_EGGS is deprecated. Please use \\\"\\n \\\"PLONE_ADDONS instead !!!\\\", DeprecationWarning)\\n\\n zcml = self.env.get(\\\"PLONE_ZCML\\\",\\n self.env.get(\\\"ZCML\\\", \\\"\\\")).strip().split()\\n if not zcml:\\n zcml = self.env.get(\\\"BUILDOUT_ZCML\\\", \\\"\\\").strip().split()\\n if zcml:\\n warnings.warn(\\n \\\"BUILDOUT_ZCML is deprecated. Please use \\\"\\n \\\"PLONE_ZCML instead !!!\\\", DeprecationWarning)\\n\\n develop = self.env.get(\\\"PLONE_DEVELOP\\\",\\n self.env.get(\\\"DEVELOP\\\", \\\"\\\")).strip().split()\\n if not develop:\\n develop = self.env.get(\\\"BUILDOUT_DEVELOP\\\", \\\"\\\").strip().split()\\n if develop:\\n warnings.warn(\\n \\\"BUILDOUT_DEVELOP is deprecated. Please use \\\"\\n \\\"PLONE_DEVELOP instead !!!\\\", DeprecationWarning)\\n\\n if not (eggs or zcml or develop):\\n return\\n\\n buildout = BUILDOUT_TEMPLATE.format(\\n eggs=\\\"\\\\n\\\\t\\\".join(eggs),\\n zcml=\\\"\\\\n\\\\t\\\".join(zcml),\\n develop=\\\"\\\\n\\\\t\\\".join(develop)\\n )\\n\\n with open(self.custom_conf, 'w') as cfile:\\n cfile.write(buildout)\",\n \"def run(self, args=[]):\\n # Assert correct configuration.\\n assert self.c.cbb.config, 'An empty configuration was specified.'\\n assert self.c.cbb.builddir, 'A build directory name must be specified.'\\n\\n # Load properties from the commit being processed. This requires both a\\n # repository and revision to proceed.\\n repository = self.m.properties.get('repository')\\n revision = self.m.properties.get('revision')\\n if repository and revision:\\n # Pull more information from the commit if it came from certain known\\n # repositories.\\n if (self.c.use_chrome_version and\\n self.check_repository('chromium', repository)):\\n # If our change comes from a Chromium repository, add the\\n # '--chrome_version' flag.\\n self.c.cbb.chrome_version = self.m.properties['revision']\\n if (self.c.read_cros_manifest and\\n self.check_repository('cros_manifest', repository)):\\n # This change comes from a manifest repository. Load configuration\\n # parameters from the manifest command.\\n self.load_manifest_config(repository, revision)\\n\\n buildroot = self.m.path['root'].join('cbuild', self.c.cbb.builddir)\\n cbb_args = [\\n '--buildroot', buildroot,\\n ]\\n if not args:\\n cbb_args.append('--buildbot')\\n if self.c.chromite_branch and not self.c.cbb.disable_bootstrap:\\n cbb_args.extend(['--branch', self.c.chromite_branch])\\n if self.c.cbb.build_number is not None:\\n cbb_args.extend(['--buildnumber', self.c.cbb.build_number])\\n if self.c.cbb.chrome_rev:\\n cbb_args.extend(['--chrome_rev', self.c.cbb.chrome_rev])\\n if self.c.cbb.debug:\\n cbb_args.extend(['--debug'])\\n if self.c.cbb.clobber:\\n cbb_args.extend(['--clobber'])\\n if self.c.cbb.chrome_version:\\n cbb_args.extend(['--chrome_version', self.c.cbb.chrome_version])\\n if self.c.cbb.config_repo:\\n cbb_args.extend(['--config_repo', self.c.cbb.config_repo])\\n if self.c.repo_cache_dir and self.c.cbb.supports_repo_cache:\\n cbb_args.extend(['--repo-cache', self.c.repo_cache_dir])\\n\\n # Set the build ID, if specified.\\n if self.c.cbb.build_id:\\n cbb_args.extend(['--master-build-id', self.c.cbb.build_id])\\n\\n # Add custom args, if there are any.\\n cbb_args.extend(args)\\n\\n # Run cbuildbot.\\n return self.cbuildbot(str('cbuildbot [%s]' % (self.c.cbb.config,)),\\n self.c.cbb.config,\\n args=cbb_args,\\n cwd=self.m.path['slave_build'])\",\n \"def run() -> ():\\n if len(sys.argv) > 1:\\n show_help()\\n errs = get_cargo_input()\\n main_stack = make_proj_stack(errs)\\n while len(main_stack) > 0:\\n file_stack = make_file_stack(main_stack)\\n overwrite(file_stack)\\n\\n # FIXME\",\n \"def test_build(self):\\n self.createFakeSphinxProject()\\n self.builder.build(self.sphinxDir)\\n self.verifyBuilt()\",\n \"def build (self):\\n raise NotImplementedError\",\n \"def build():\\n\\timport subprocess\\n\\tfrom os import listdir, getcwd\\n\\tfrom os.path import isfile, join\\n\\tonlyfiles = [f for f in listdir(getcwd()) if isfile(join(getcwd(), f))]\\n\\n\\tif not 'requirements.txt' in onlyfiles:\\n\\t\\traise SystemExit('File including depencencies not found. You will have to install them manually.')\\n\\n\\tsubprocess.check_call([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'])\\n\\n\\tprint('All dependencies installed successfully.\\\\nYou can run Simplex now!')\",\n \"def build(self):\\n cmakelist_prepend = '''\\ninclude(${CMAKE_CURRENT_SOURCE_DIR}/../conanbuildinfo.cmake)\\nCONAN_BASIC_SETUP()\\noption(HPX_BUILD_EXAMPLES BOOL OFF)\\noption(HPX_BUILD_TESTS BOOL OFF)\\n'''\\n \\n replace_in_file(\\\"%s/CMakeLists.txt\\\" % self.folder, 'project(hpx CXX C)', 'project(hpx CXX C)\\\\n%s' % cmakelist_prepend)\\n # Don't remove module path, keep the previous\\n replace_in_file(\\\"%s/CMakeLists.txt\\\" % self.folder, 'set(CMAKE_MODULE_PATH', 'set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH}')\\n # replace_in_file(\\\"%s/src/CMakeLists.txt\\\" % self.folder, \\\"if(NOT MSVC)\\\", \\\"if(0)\\\") # Not handle boost Boost_SYSTEM_LIBRARY_DEBUG or Boost_SYSTEM_SERIALIZATION_DEBUG\\n \\n # Maybe make a PR providing a new option to disable autolink? link against libraries not directories\\n replace_in_file(\\\"%s/cmake/HPX_SetupBoost.cmake\\\" % self.folder, \\\"hpx_library_dir(${Boost_LIBRARY_DIRS})\\\", \\\"hpx_libraries(${Boost_LIBRARIES})\\\") # No auto-linking\\n \\n replace_in_file(\\\"%s/src/CMakeLists.txt\\\" % self.folder, \\\"${hpx_MALLOC_LIBRARY}\\\", \\\"${hpx_MALLOC_LIBRARY} ${Boost_SERIALIZATION_LIBRARY}\\\") # Not append boost libs\\n \\n cmake = CMake(self.settings)\\n \\n # Build\\n# \\n# # NO build examples nor tests\\n# replace_in_file(\\\"%s/CMakeListsOriginal.cmake\\\" % self.folder, \\\"if(HPX_BUILD_EXAMPLES)\\\", \\\"if(FALSE)\\\")\\n# replace_in_file(\\\"%s/CMakeListsOriginal.cmake\\\" % self.folder, \\\"if(HPX_BUILD_DOCUMENTATION)\\\", \\\"if(FALSE)\\\")\\n# replace_in_file(\\\"%s/CMakeListsOriginal.cmake\\\" % self.folder, \\\"if(HPX_BUILD_TESTS)\\\", \\\"if(FALSE)\\\")\\n# replace_in_file(\\\"%s/CMakeListsOriginal.cmake\\\" % self.folder, \\\"if(HPX_BUILD_TOOLS)\\\", \\\"if(FALSE)\\\")\\n# \\n # CONFIGURE\\n self.run(\\\"cd %s && mkdir _build\\\" % self.folder)\\n configure_command = 'cd %s/_build && cmake .. %s ' % (self.folder, cmake.command_line)\\n self.output.warn(\\\"Configure with: %s\\\" % configure_command)\\n self.run(configure_command)\\n # BUILD\\n cores = \\\"-j3\\\" if self.settings.os != \\\"Windows\\\" else \\\"\\\"\\n self.run(\\\"cd %s/_build && cmake --build . %s -- %s\\\" % (self.folder, cmake.build_config, cores))\",\n \"def _build(self, **kwargs):\",\n \"def run(self):\\n self.scion_sh('run', 'nobuild')\",\n \"def main():\\n\\n parser = argparse.ArgumentParser(prog='Build', description='Python script for building apps for Pyinstaller')\\n # Flag arguments\\n parser.add_argument('--version', action='version', version='%(prog)s 1.0.0')\\n parser.add_argument('--clean', '-c', action='store_true', default=False, help='Clean build before re-building.')\\n parser.add_argument('--portable', '-p', action='store_true', default=False, help='Build with portable python (windows)')\\n parser.add_argument('name', default=None, help='Name of app')\\n inputs = parser.parse_args()\\n if _PLATFORM == \\\"osx\\\":\\n args = Args(\\\"Rummage.py\\\", inputs.name, True, inputs.clean, \\\".app\\\", abspath(\\\"_icons/rummage.icns\\\"))\\n elif _PLATFORM == \\\"windows\\\":\\n args = Args(\\\"Rummage.py\\\", inputs.name, True, inputs.clean, \\\".exe\\\", abspath(\\\"_icons\\\\\\\\rummage.ico\\\"), inputs.portable)\\n else:\\n args = Args(\\n \\\"Rummage.py\\\", inputs.name, True, inputs.clean, \\\"\\\",\\n imports=[\\n \\\"gobject\\\", \\\"glib\\\", \\\"glib._glib\\\", \\\"glib.option\\\", \\\"object.constants\\\",\\n \\\"gobject._gobject\\\", \\\"gobject.propertyhelper\\\", \\\"gtk\\\", \\\"gtk._gtk\\\"\\n ]\\n )\\n\\n # Parse options\\n build_params = BuildParams()\\n err = parse_options(args, build_params)\\n\\n # Build executable\\n if not err:\\n err = build(build_params)\\n\\n return err\",\n \"def build(args):\\n\\n logging.info(\\\"Parsing configuration...\\\")\\n try:\\n config = {\\\"site\\\": configurator.get_config(os.path.join(args.src, args.configfile))}\\n except Exception as exc:\\n sys.exit(\\\"Error during configuration: \\\" + str(exc))\\n\\n if (args.autobaseurl):\\n config[\\\"site\\\"][\\\"baseurl\\\"] = os.path.abspath(args.dest)\\n\\n logging.info(\\\"Loading and pre-processing content...\\\")\\n if (os.path.isdir(os.path.join(args.src, paths.POSTS_PATH))):\\n try:\\n config[\\\"posts\\\"] = loader.get_from_folder(os.path.join(args.src, paths.POSTS_PATH), config)\\n except ValueError as exc:\\n sys.exit(\\\"Error loading posts: \\\" + str(exc))\\n else:\\n config[\\\"posts\\\"] = {}\\n\\n if (os.path.isdir(os.path.join(args.src, paths.PAGES_PATH))):\\n try:\\n config[\\\"pages\\\"] = loader.get_from_folder(os.path.join(args.src, paths.PAGES_PATH), config)\\n except ValueError as exc:\\n sys.exit(\\\"Error loading pages: \\\" + str(exc))\\n else:\\n config[\\\"pages\\\"] = {}\\n\\n logging.debug(\\\"Configuring Jinja2 environment...\\\")\\n jinjaEnv = configurator.configure_jinja(config[\\\"site\\\"][\\\"theme\\\"], args.src)\\n\\n logging.debug(\\\"Initializing builder...\\\")\\n Builder(jinjaEnv, config, args.src, args.dest, args.noclean).build()\",\n \"def build(self):\\n\\n return True\",\n \"def build(self):\\n\\n return True\",\n \"def build(self):\\n raise NotImplementedError(\\\"This should have been implemented.\\\")\",\n \"def build(self):\\n\\n raise NotImplementedError(\\\"Implement build() method\\\")\",\n \"def start_build(args):\\n\\n path = os.path.join(SCRATCH_DIR, args.project)\\n \\n # Set up virtual environment\\n print(\\\"Setting up virtual python environment in %s\\\" % path)\\n venv.create(path, clear=True, symlinks=True, with_pip=False)\\n\\n # Pull in repository data\\n sourcepath = os.path.join(path, 'source')\\n print(\\\"Cloning from git repository %s (branch: %s)\\\" % (args.source, args.sourcebranch))\\n subprocess.run((GIT, 'clone', '--branch', args.sourcebranch, '--depth=1', '--no-single-branch', args.source, sourcepath),\\n check=True)\\n\\n # Activate venv and install pips if needed. For dev/test, we will\\n # assume that all requirements are available at the system level,\\n # rather than needing to install them into the venv.\\n ### note: this makes it difficult to test requirements.txt, but it\\n ### will do for now. Debugging requirements.txt failures on the\\n ### production buildbot is not difficult to correct.\\n if IS_PRODUCTION and os.path.exists(os.path.join(sourcepath, 'requirements.txt')):\\n print(\\\"Installing pips\\\")\\n subprocess.run(('/bin/bash', '-c',\\n 'source bin/activate; pip3 install -r source/requirements.txt'),\\n cwd=path, check=True)\\n else:\\n print(\\\"On dev/test requirements.txt is not processed, skipping pip\\\")\\n\\n # Where are our tools?\\n if IS_PRODUCTION:\\n tool_dir = PELICANFILES\\n else:\\n tool_dir = THIS_DIR\\n print(\\\"TOOLS:\\\", tool_dir)\\n\\n pelconf_yaml = os.path.join(sourcepath, AUTO_SETTINGS_YAML)\\n if os.path.exists(pelconf_yaml):\\n settings_path = os.path.join(path, AUTO_SETTINGS)\\n if IS_PRODUCTION:\\n builtin_plugins = PLUGINS\\n else:\\n builtin_plugins = os.path.join(tool_dir, os.pardir, 'plugins')\\n generate_settings(pelconf_yaml, settings_path, [ builtin_plugins ], sourcepath)\\n else:\\n # The default name, but we'll pass it explicitly.\\n settings_path = os.path.join(sourcepath, 'pelicanconf.py')\\n\\n # Set currently supported plugins\\n ### this needs to be removed, as it is too indeterminate.\\n with open(settings_path, 'a') as f:\\n f.write(\\\"\\\"\\\"\\ntry:\\n PLUGINS += ['toc']\\nexcept:\\n PLUGINS = ['toc', 'gfm']\\n\\\"\\\"\\\")\\n\\n # Call pelican\\n buildpath = os.path.join(path, 'build/output')\\n os.makedirs(buildpath, exist_ok = True)\\n buildcmd = ('/bin/bash', '-c',\\n 'source bin/activate; cd source && '\\n ### note: adding --debug can be handy\\n f'(pelican content --settings {settings_path} -o {buildpath})',\\n )\\n print(\\\"Building web site with:\\\", buildcmd)\\n env = os.environ.copy()\\n env['LIBCMARKDIR'] = LIBCMARKDIR\\n subprocess.run(buildcmd, cwd=path, check=True, env=env)\\n\\n count = len(glob.glob(f'{buildpath}/**/*.html', recursive=True))\\n print(f\\\"{count} html files.\\\")\\n if args.count > 0 and args.count > count:\\n print(\\\"Not enough html pages in the Web Site. Minimum %s > %s found in the Web Site.\\\" % (args.count, count))\\n sys.exit(4)\\n\\n # Done for now\\n print(\\\"Web site successfully generated!\\\")\\n\\n # It is much easier to do all the below, if we chdir()\\n os.chdir(sourcepath)\\n\\n # Copy to result branch\\n print(\\\"Copying web site to branch:\\\", args.outputbranch)\\n\\n try:\\n subprocess.run((GIT, 'rev-parse', '--verify', \\\"origin/%s\\\" % args.outputbranch),\\n check=True)\\n print(\\\"- Doing fresh checkout of branch %s\\\" % args.outputbranch)\\n subprocess.run((GIT, 'checkout', args.outputbranch, '-f'), check=True)\\n subprocess.run((GIT, 'pull'), check=True)\\n except:\\n print(\\\"- Branch %s does not exist (yet), creating it...\\\" % args.outputbranch)\\n # If .asf.yaml exists, which it should, make a copy of it in memory for later\\n asfyml = os.path.join(sourcepath, '.asf.yaml')\\n myyaml = None\\n if os.path.exists(asfyml):\\n myyaml = open(asfyml).read()\\n subprocess.run((GIT, 'checkout', '--orphan', args.outputbranch), check=True)\\n subprocess.run((GIT, 'rm', '-rf', '.'), check=True)\\n # Add .asf.yaml back in if we found it.\\n if myyaml:\\n open(asfyml, \\\"w\\\").write(myyaml)\\n subprocess.run((GIT, 'add', '.asf.yaml'), check=True)\\n\\n print(\\\"- Adding new content to branch\\\")\\n # RM output dir if it already exists\\n outputdir = os.path.join(sourcepath, 'output')\\n if os.path.isdir(outputdir):\\n print(\\\"Removing existing output dir %s\\\" % outputdir)\\n shutil.rmtree(outputdir)\\n shutil.move(buildpath, outputdir)\\n subprocess.run((GIT, 'add', 'output/'), check=True)\\n\\n # Check if there are any changes.\\n cp = subprocess.run((GIT, 'diff', '--cached', '--quiet'))\\n if cp.returncode == 0:\\n # There were no differences reported.\\n print('Nothing new to commit. Ignoring this build.')\\n else:\\n print(\\\"- Committing to %s\\\" % args.source)\\n subprocess.run((GIT, 'commit', '-m', 'Automatic Site Publish by Buildbot'), check=True)\\n\\n # If we're not in production, then avoid pushing changes.\\n if IS_PRODUCTION:\\n print('- Pushing changes, for publishing')\\n subprocess.run((GIT, 'push', args.source, args.outputbranch), check=True)\\n\\n print('Success. Done.')\\n # for dev/test provide viewing instructions\\n if not IS_PRODUCTION:\\n if args.listen:\\n try:\\n subprocess.run(('pelican','-l'), check=True)\\n except KeyboardInterrupt:\\n pass\\n else:\\n print(f'To test output:\\\\ncd {sourcepath}; pelican -l')\",\n \"def build(self):\\n raise NotImplementedError\",\n \"def build (self, event = None):\\r\\n dialog = wx.FileDialog(self, 'Build Story', os.getcwd(), \\\"\\\", \\\\\\r\\n \\\"Web Page (*.html)|*.html\\\", \\\\\\r\\n wx.SAVE | wx.FD_OVERWRITE_PROMPT | wx.FD_CHANGE_DIR)\\r\\n \\r\\n if dialog.ShowModal() == wx.ID_OK:\\r\\n self.buildDestination = dialog.GetPath()\\r\\n self.rebuild(None, True)\\r\\n \\r\\n dialog.Destroy()\",\n \"def build(cli_config, no_wipe, production, node_log_file):\\n commands = AssetsCommands(cli_config)\\n commands.update_statics_and_assets(\\n force=not no_wipe, # If no_wipe=True, it means force=False\\n flask_env=\\\"production\\\" if production else \\\"development\\\",\\n log_file=node_log_file,\\n )\",\n \"def test(conanfile):\\n with conanfile_exception_formatter(conanfile, \\\"test\\\"):\\n with chdir(conanfile.build_folder):\\n conanfile.test()\",\n \"def compile(root, folder, filepathList):\\n # Init param\\n fpath = os.path.join(folder, \\\"current\\\")\\n\\n # YUIDoc don't need any exlude: vendor folder and min content are disable by default\\n params = [\\n \\\"yuidoc\\\",\\n \\\"--outdir\\\", fpath,\\n\\t \\\"--themedir\\\", tmpl,\\n root\\n ]\\n\\n # Run everything (see launcher.py)\\n launch(params)\",\n \"def run_commands (self):\\n cwd = os.getcwd()\\n data = []\\n data.append('config_dir = %r' % os.path.join(cwd, \\\"config\\\"))\\n data.append(\\\"install_data = %r\\\" % cwd)\\n data.append(\\\"install_scripts = %r\\\" % cwd)\\n self.create_conf_file(data)\\n super(MyDistribution, self).run_commands()\",\n \"def test_build(self):\\r\\n self.mkbundle('file1', 'file2', output=\\\"out\\\").build()\\r\\n assert self.get(\\\"media/out\\\") == \\\"foo\\\\nbar\\\"\",\n \"def index(filename):\\n return send_from_directory(\\\"./build\\\", filename)\",\n \"def build_root(event):\\n mode = event.parameters['mode']\\n if mode == 'from config':\\n config = event.parameters['config']\\n\\n elif mode == 'from template':\\n manager = event.workbench.get_plugin('exopy.tasks')\\n view = TemplateSelector(event.parameters.get('widget'),\\n manager=manager)\\n result = view.exec_()\\n if result:\\n path = view.path\\n config, _ = load_template(path)\\n\\n else:\\n msg = 'Invalid mode (%s) for build_root. Valid ones are : %s'\\n raise ValueError(msg % (mode, ('from config', 'from template')))\\n\\n if config:\\n build_dep = event.parameters.get('build_dep', event.workbench)\\n return build_task_from_config(config, build_dep, True)\\n\\n else:\\n raise RuntimeError('No config for building')\",\n \"def compile_package(self):\\n build_package = [\\n self.mock,\\n '--root=%s' % self.root,\\n '--arch=%s' % self.arch,\\n '--shell',\\n '/build_package.sh',\\n \\n ]\\n output, errors = self._run_command(build_package)\",\n \"def build(self):\\n for component, type in self.__get_data(\\\"comps\\\").items():\\n self.add_comp(component, type)\\n\\n self.logger.info('Build of {} finished'.format(self.name))\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7333871","0.71412677","0.6977461","0.6936356","0.68916893","0.68744874","0.68205845","0.6769663","0.6651863","0.6582709","0.6576951","0.6561471","0.65468836","0.6516524","0.65142125","0.6505344","0.64734596","0.6464042","0.645478","0.63959265","0.6391773","0.6330381","0.6330381","0.6309916","0.6309916","0.6290764","0.6289781","0.6244323","0.62205184","0.61924136","0.6180245","0.61786145","0.61742854","0.6171856","0.6164924","0.6145438","0.61347425","0.61283135","0.60553557","0.60553557","0.60553557","0.60448796","0.6015405","0.6002215","0.5999668","0.5993643","0.598712","0.59863174","0.5984351","0.5979702","0.59638965","0.5960613","0.59394646","0.59365225","0.59345657","0.59044176","0.59018934","0.5897545","0.5884541","0.5884541","0.5884541","0.5884335","0.58828205","0.58739567","0.585971","0.5854103","0.58531725","0.58512074","0.5849318","0.58487684","0.5838645","0.5828271","0.58190143","0.5789833","0.57882124","0.57874376","0.5754044","0.57482415","0.5733529","0.57274777","0.5726357","0.57223445","0.5718757","0.57095444","0.5705551","0.5705551","0.57000154","0.5694687","0.56938607","0.56925744","0.56833255","0.56801623","0.567645","0.56727266","0.5669438","0.5666624","0.5655494","0.5648496","0.5641619","0.56371176"],"string":"[\n \"0.7333871\",\n \"0.71412677\",\n \"0.6977461\",\n \"0.6936356\",\n \"0.68916893\",\n \"0.68744874\",\n \"0.68205845\",\n \"0.6769663\",\n \"0.6651863\",\n \"0.6582709\",\n \"0.6576951\",\n \"0.6561471\",\n \"0.65468836\",\n \"0.6516524\",\n \"0.65142125\",\n \"0.6505344\",\n \"0.64734596\",\n \"0.6464042\",\n \"0.645478\",\n \"0.63959265\",\n \"0.6391773\",\n \"0.6330381\",\n \"0.6330381\",\n \"0.6309916\",\n \"0.6309916\",\n \"0.6290764\",\n \"0.6289781\",\n \"0.6244323\",\n \"0.62205184\",\n \"0.61924136\",\n \"0.6180245\",\n \"0.61786145\",\n \"0.61742854\",\n \"0.6171856\",\n \"0.6164924\",\n \"0.6145438\",\n \"0.61347425\",\n \"0.61283135\",\n \"0.60553557\",\n \"0.60553557\",\n \"0.60553557\",\n \"0.60448796\",\n \"0.6015405\",\n \"0.6002215\",\n \"0.5999668\",\n \"0.5993643\",\n \"0.598712\",\n \"0.59863174\",\n \"0.5984351\",\n \"0.5979702\",\n \"0.59638965\",\n \"0.5960613\",\n \"0.59394646\",\n \"0.59365225\",\n \"0.59345657\",\n \"0.59044176\",\n \"0.59018934\",\n \"0.5897545\",\n \"0.5884541\",\n \"0.5884541\",\n \"0.5884541\",\n \"0.5884335\",\n \"0.58828205\",\n \"0.58739567\",\n \"0.585971\",\n \"0.5854103\",\n \"0.58531725\",\n \"0.58512074\",\n \"0.5849318\",\n \"0.58487684\",\n \"0.5838645\",\n \"0.5828271\",\n \"0.58190143\",\n \"0.5789833\",\n \"0.57882124\",\n \"0.57874376\",\n \"0.5754044\",\n \"0.57482415\",\n \"0.5733529\",\n \"0.57274777\",\n \"0.5726357\",\n \"0.57223445\",\n \"0.5718757\",\n \"0.57095444\",\n \"0.5705551\",\n \"0.5705551\",\n \"0.57000154\",\n \"0.5694687\",\n \"0.56938607\",\n \"0.56925744\",\n \"0.56833255\",\n \"0.56801623\",\n \"0.567645\",\n \"0.56727266\",\n \"0.5669438\",\n \"0.5666624\",\n \"0.5655494\",\n \"0.5648496\",\n \"0.5641619\",\n \"0.56371176\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8105695"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":91297,"cells":{"query":{"kind":"string","value":"calls the 'test()' method of the current (user folder) test_package/conanfile.py"},"document":{"kind":"string","value":"def test(conanfile):\n with conanfile_exception_formatter(conanfile, \"test\"):\n with chdir(conanfile.build_folder):\n conanfile.test()"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test():\n current_directory = os.getcwd()\n os.chdir(PACKAGE_DIR)\n pytest.main()\n os.chdir(current_directory)","def test():\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n sys.exit(result)","def test_package(self):\n pass","def test():\n tests = unittest.TestLoader().discover('src/test', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test_script(self) -> None:\n main()","def test():\n loader = unittest.TestLoader()\n suite = loader.discover(os.path.dirname(__file__))\n runner = unittest.TextTestRunner()\n runner.run(suite)","def test():\n tests = unittest.TestLoader().discover('project/tests', pattern='*test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0 \n return 1","def runtest(self):","def test():\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n import unittest\n\n tests = unittest.TestLoader().discover(\"tests\")\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def tests():","def runTests(self):\n \n pass","def test():\n with lcd(BASEDIR):\n local('virtenv/bin/coverage run runtests.py -v2')\n local('virtenv/bin/coverage report -m')","def test_single_test_case():\n pass","def test():\n tests = unittest.TestLoader().discover('app/test', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\r\n import unittest\r\n tests=unittest.TestLoader().discover('tests')\r\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest \n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\r\n import unittest\r\n tests = unittest.TestLoader().discover('tests')\r\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\r\n import unittest\r\n tests = unittest.TestLoader().discover('tests')\r\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n tests = unittest.TestLoader().discover('tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n tests = unittest.TestLoader().discover('./tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n tests = unittest.TestLoader().discover('./tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n import unittest\n\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def unitary_test():","def runTest(self):\n self.setUp()\n self.test_modul1()","def test():\n import unittest\n import tests\n tests = unittest.TestLoader().discover('tests', pattern='*tests.py')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n tests = unittest.TestLoader().discover('.')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test():\n import doctest\n from . import locate\n return doctest.testmod(locate)","def test():\n import unittest\n\n tests = unittest.TestLoader().discover(\"tests\")\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def test():\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)","def run(self):\n cmd = 'coverage run setup.py test && coverage report -m'\n check_call(cmd, shell=True)","def test_something():","def test():\n pass","def test(self):\n pass","def runTest(self):\n unittest.main()\n ChoreTest.clean_up()","def _test():\n import doctest","def test():\n for cmd in [\n \"pytest --verbose --cov pike/ --cov-report term --cov-report html tests/\",\n ]:\n _run_in_venv(shlex.split(cmd))\n for linter in [[\"black\", \"--check\"], [\"flake8\"], [\"isort\", \"--check\"]]:\n _run_in_venv(linter + TEST_FILES)\n\n _run_in_venv(\n [\"mypy\", \"pike/\", \"tests/\", \"setup.py\", \"pikefile.py\", \"--show-error-codes\"]\n )\n _run_in_venv([\"mypy\", \"examples/\"])\n _run_in_venv([\"bandit\", \"-r\", \"pike/\"])","def _testProject(self, folder, project_file):\n sys.argv = [\n 'converter.py',\n os.path.join(folder, project_file),\n OUTPUT_FOLDER\n ]\n vb2py.projectconverter.main()\n #\n # Check files\n expected_files = glob.glob(os.path.join(folder, '*.frm'))\n expected_files.extend(glob.glob(os.path.join(folder, '*.cls')))\n expected_files.extend(glob.glob(os.path.join(folder, '*.bas')))\n #\n for file in expected_files:\n self.assertTrue(os.path.isfile(file))","def test_basic_execution(self):","def test(coverage):\n print('success')\n pass","def test_main():\n # Setup\n # Exercise\n # Verify","def test():\n import unittest\n tests = unittest.TestLoader().discover(tests)\n unittest.TextTestRunner(verbosity=2).run(tests)","def test_start(self):\n self.fail(\"write a test\")","def _test():\n\n # perform doctest\n import sys\n import doctest\n\n doctest.testmod()\n\n sys.exit(0)","def test_module(self):\n pass","def test_1():","def test_pep8_conformance_unitests(self):\n\n print(\"\\r\\n\")\n\n # Get the path to current directory\n path = os.path.dirname(os.path.realpath(__file__))\n\n self.run_check(path)","def unittest():\n from a6test import test_all\n test_all()","def main():\n run_test_all()","def test():","def test():","def test(test_class):\n if test_class == 'all':\n tests = unittest.TestLoader().discover('project/tests')\n else:\n # note, test module must be imported above, doing lazily for now\n test_module = globals()[test_class]\n tests = unittest.TestLoader().loadTestsFromTestCase(test_module)\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def task_test():\n return {\n \"actions\": [[\"pytest\", \"--cov=mad_gui\", \"--cov-config=.coveragerc\", \"-vv\"]],\n \"verbosity\": 2,\n }","def __main() :\n launchTests()","def setUp(self):\n os.chdir(os.path.join(os.path.dirname(os.path.abspath(__file__)), \"../..\"))","def _run_ci_test():\n _run_install(False)\n _run_coverage_html(False)\n _run_typecheck_xml(False)\n _run_lint(True)","def runTest(self):\n self.setUp()\n self.test_NeuroPath1()","def runTest(self):\n return True","def test_case_1():\n print(\"*********Test_case_1***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir')\n result = find_files('.c', path)\n for file in result:\n print(file)","def __test__():\n#-------------------------------------------------------------------------------\n import pylib.tester as tester\n return 0","def test_function():\n\n\tlogger = logConfigure(\"promote_test.log\")\n\t\n\tmessage = \"starting test of promote.py\"\n\tlogger.info(message)\n\ttestConfigFile = \"test.json\"\n\tmessage = \"testing existence of test config file {0}\".format(testConfigFile)\n\tlogger.info(message)\n\ttestConfigExists = True \n\tprint \"{0}\".format(str(os.path.isfile))\n\t\n\ttry:\n\t\tos.path.isfile(testConfigFile)\n\texcept:\n\t\ttestConfigExists = False\n\t\t\n\tassert testConfigExists == False","def test():\n tests = unittest.TestLoader().discover('auth/tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n return 1","def test(self):","def test(self):","def _test(): # pragma: no cover\r\n print('Starting doctest')\r\n doctest.testmod()\r\n print('Completed doctest')","def test_method(self):","def run_test(test_name):\n\n print 'Running %s_test...' % test_name\n os.system('./test_%s.py' % test_name)\n print","def _test():\n import doctest\n doctest.testmod()","def _test():\n import doctest\n doctest.testmod()","def _test():\n import doctest\n doctest.testmod(verbose=1)","def run_test_coverage(self, build=False):\n\n # print('Running unit tests for package %s' % package)\n if self.is_metapackage:\n self.out = 'This is a metapackage'\n return 0\n\n if not self.has_test:\n self.out = 'No tests defined on CMakeLists.txt'\n return 0\n\n if build:\n self.build_for_coverage() \n\n # Capture initial zero coverage data\n self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --directory build --zerocounters')\n self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --capture --initial --directory build/' + self.name + ' --output-file build/lcov.base')\n\n # Run tests with coverage flags\n extra_parms = '--no-deps --cmake-args -DCMAKE_CXX_FLAGS=\"-g -O0 -Wall -fprofile-arcs -ftest-coverage\" -DCMAKE_EXE_LINKER_FLAGS=\"-fprofile-arcs -ftest-coverage\"'\n cmd = ['catkin', 'run_tests', self.name]\n cmd.extend(shlex.split(extra_parms))\n\n process = subprocess.Popen(cmd,\n stdout=subprocess.PIPE, \n stderr=subprocess.PIPE,\n universal_newlines=True)\n\n self.out , self.err = process.communicate()\n\n self.setSummary(self.get_test_summary())\n self.setExecutionStatus(process.returncode)\n\n if process.returncode != 0:\n return process.returncode\n\n # Capture coverage data after running tests\n self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --no-checksum --directory build/' + self.name + ' --capture --output-file build/lcov.info')\n\n # Add baseline counters\n out, err = self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --add-tracefile build/lcov.base --add-tracefile build/lcov.info --output-file build/lcov.total')\n\n # Remove coverage data for a particular set of files from the tracefile\n out, err = self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --remove build/lcov.total /usr* /opt* */test/* */CMakeFiles/* */build/* --output-file build/lcov.total.cleaned')\n \n # Extract line coverage from output\n if 'lines......:' in out:\n self.coverage = float(out.split('lines......: ')[1].split('%')[0])\n else:\n self.coverage = 0\n\n return 0","def _test(self):","def _test(self):","def _test(self):","def _test(self):","def _test(self):","def test_with_file(self, file_path):\n result = self.run(file_path=file_path)\n return self._handle_test_result(result)","def test(self):\n for arch, python in self.python:\n self.run(f\"{python} -m pytest\")","def test():\n tests = unittest.TestLoader().discover('tests')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessful():\n return 0\n else:\n return 1","def task_test():\n return {\n 'actions': ['py.test tests/'],\n }"],"string":"[\n \"def test():\\n current_directory = os.getcwd()\\n os.chdir(PACKAGE_DIR)\\n pytest.main()\\n os.chdir(current_directory)\",\n \"def test():\\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n sys.exit(result)\",\n \"def test_package(self):\\n pass\",\n \"def test():\\n tests = unittest.TestLoader().discover('src/test', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test_script(self) -> None:\\n main()\",\n \"def test():\\n loader = unittest.TestLoader()\\n suite = loader.discover(os.path.dirname(__file__))\\n runner = unittest.TextTestRunner()\\n runner.run(suite)\",\n \"def test():\\n tests = unittest.TestLoader().discover('project/tests', pattern='*test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0 \\n return 1\",\n \"def runtest(self):\",\n \"def test():\\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n import unittest\\n\\n tests = unittest.TestLoader().discover(\\\"tests\\\")\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def tests():\",\n \"def runTests(self):\\n \\n pass\",\n \"def test():\\n with lcd(BASEDIR):\\n local('virtenv/bin/coverage run runtests.py -v2')\\n local('virtenv/bin/coverage report -m')\",\n \"def test_single_test_case():\\n pass\",\n \"def test():\\n tests = unittest.TestLoader().discover('app/test', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\r\\n import unittest\\r\\n tests=unittest.TestLoader().discover('tests')\\r\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest \\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\r\\n import unittest\\r\\n tests = unittest.TestLoader().discover('tests')\\r\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\r\\n import unittest\\r\\n tests = unittest.TestLoader().discover('tests')\\r\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n tests = unittest.TestLoader().discover('tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n tests = unittest.TestLoader().discover('./tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n tests = unittest.TestLoader().discover('./tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n import unittest\\n\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def unitary_test():\",\n \"def runTest(self):\\n self.setUp()\\n self.test_modul1()\",\n \"def test():\\n import unittest\\n import tests\\n tests = unittest.TestLoader().discover('tests', pattern='*tests.py')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n tests = unittest.TestLoader().discover('.')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test():\\n import doctest\\n from . import locate\\n return doctest.testmod(locate)\",\n \"def test():\\n import unittest\\n\\n tests = unittest.TestLoader().discover(\\\"tests\\\")\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test():\\n tests = unittest.TestLoader().discover('tests')\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def run(self):\\n cmd = 'coverage run setup.py test && coverage report -m'\\n check_call(cmd, shell=True)\",\n \"def test_something():\",\n \"def test():\\n pass\",\n \"def test(self):\\n pass\",\n \"def runTest(self):\\n unittest.main()\\n ChoreTest.clean_up()\",\n \"def _test():\\n import doctest\",\n \"def test():\\n for cmd in [\\n \\\"pytest --verbose --cov pike/ --cov-report term --cov-report html tests/\\\",\\n ]:\\n _run_in_venv(shlex.split(cmd))\\n for linter in [[\\\"black\\\", \\\"--check\\\"], [\\\"flake8\\\"], [\\\"isort\\\", \\\"--check\\\"]]:\\n _run_in_venv(linter + TEST_FILES)\\n\\n _run_in_venv(\\n [\\\"mypy\\\", \\\"pike/\\\", \\\"tests/\\\", \\\"setup.py\\\", \\\"pikefile.py\\\", \\\"--show-error-codes\\\"]\\n )\\n _run_in_venv([\\\"mypy\\\", \\\"examples/\\\"])\\n _run_in_venv([\\\"bandit\\\", \\\"-r\\\", \\\"pike/\\\"])\",\n \"def _testProject(self, folder, project_file):\\n sys.argv = [\\n 'converter.py',\\n os.path.join(folder, project_file),\\n OUTPUT_FOLDER\\n ]\\n vb2py.projectconverter.main()\\n #\\n # Check files\\n expected_files = glob.glob(os.path.join(folder, '*.frm'))\\n expected_files.extend(glob.glob(os.path.join(folder, '*.cls')))\\n expected_files.extend(glob.glob(os.path.join(folder, '*.bas')))\\n #\\n for file in expected_files:\\n self.assertTrue(os.path.isfile(file))\",\n \"def test_basic_execution(self):\",\n \"def test(coverage):\\n print('success')\\n pass\",\n \"def test_main():\\n # Setup\\n # Exercise\\n # Verify\",\n \"def test():\\n import unittest\\n tests = unittest.TestLoader().discover(tests)\\n unittest.TextTestRunner(verbosity=2).run(tests)\",\n \"def test_start(self):\\n self.fail(\\\"write a test\\\")\",\n \"def _test():\\n\\n # perform doctest\\n import sys\\n import doctest\\n\\n doctest.testmod()\\n\\n sys.exit(0)\",\n \"def test_module(self):\\n pass\",\n \"def test_1():\",\n \"def test_pep8_conformance_unitests(self):\\n\\n print(\\\"\\\\r\\\\n\\\")\\n\\n # Get the path to current directory\\n path = os.path.dirname(os.path.realpath(__file__))\\n\\n self.run_check(path)\",\n \"def unittest():\\n from a6test import test_all\\n test_all()\",\n \"def main():\\n run_test_all()\",\n \"def test():\",\n \"def test():\",\n \"def test(test_class):\\n if test_class == 'all':\\n tests = unittest.TestLoader().discover('project/tests')\\n else:\\n # note, test module must be imported above, doing lazily for now\\n test_module = globals()[test_class]\\n tests = unittest.TestLoader().loadTestsFromTestCase(test_module)\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def task_test():\\n return {\\n \\\"actions\\\": [[\\\"pytest\\\", \\\"--cov=mad_gui\\\", \\\"--cov-config=.coveragerc\\\", \\\"-vv\\\"]],\\n \\\"verbosity\\\": 2,\\n }\",\n \"def __main() :\\n launchTests()\",\n \"def setUp(self):\\n os.chdir(os.path.join(os.path.dirname(os.path.abspath(__file__)), \\\"../..\\\"))\",\n \"def _run_ci_test():\\n _run_install(False)\\n _run_coverage_html(False)\\n _run_typecheck_xml(False)\\n _run_lint(True)\",\n \"def runTest(self):\\n self.setUp()\\n self.test_NeuroPath1()\",\n \"def runTest(self):\\n return True\",\n \"def test_case_1():\\n print(\\\"*********Test_case_1***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir')\\n result = find_files('.c', path)\\n for file in result:\\n print(file)\",\n \"def __test__():\\n#-------------------------------------------------------------------------------\\n import pylib.tester as tester\\n return 0\",\n \"def test_function():\\n\\n\\tlogger = logConfigure(\\\"promote_test.log\\\")\\n\\t\\n\\tmessage = \\\"starting test of promote.py\\\"\\n\\tlogger.info(message)\\n\\ttestConfigFile = \\\"test.json\\\"\\n\\tmessage = \\\"testing existence of test config file {0}\\\".format(testConfigFile)\\n\\tlogger.info(message)\\n\\ttestConfigExists = True \\n\\tprint \\\"{0}\\\".format(str(os.path.isfile))\\n\\t\\n\\ttry:\\n\\t\\tos.path.isfile(testConfigFile)\\n\\texcept:\\n\\t\\ttestConfigExists = False\\n\\t\\t\\n\\tassert testConfigExists == False\",\n \"def test():\\n tests = unittest.TestLoader().discover('auth/tests', pattern='test*.py')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n return 1\",\n \"def test(self):\",\n \"def test(self):\",\n \"def _test(): # pragma: no cover\\r\\n print('Starting doctest')\\r\\n doctest.testmod()\\r\\n print('Completed doctest')\",\n \"def test_method(self):\",\n \"def run_test(test_name):\\n\\n print 'Running %s_test...' % test_name\\n os.system('./test_%s.py' % test_name)\\n print\",\n \"def _test():\\n import doctest\\n doctest.testmod()\",\n \"def _test():\\n import doctest\\n doctest.testmod()\",\n \"def _test():\\n import doctest\\n doctest.testmod(verbose=1)\",\n \"def run_test_coverage(self, build=False):\\n\\n # print('Running unit tests for package %s' % package)\\n if self.is_metapackage:\\n self.out = 'This is a metapackage'\\n return 0\\n\\n if not self.has_test:\\n self.out = 'No tests defined on CMakeLists.txt'\\n return 0\\n\\n if build:\\n self.build_for_coverage() \\n\\n # Capture initial zero coverage data\\n self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --directory build --zerocounters')\\n self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --capture --initial --directory build/' + self.name + ' --output-file build/lcov.base')\\n\\n # Run tests with coverage flags\\n extra_parms = '--no-deps --cmake-args -DCMAKE_CXX_FLAGS=\\\"-g -O0 -Wall -fprofile-arcs -ftest-coverage\\\" -DCMAKE_EXE_LINKER_FLAGS=\\\"-fprofile-arcs -ftest-coverage\\\"'\\n cmd = ['catkin', 'run_tests', self.name]\\n cmd.extend(shlex.split(extra_parms))\\n\\n process = subprocess.Popen(cmd,\\n stdout=subprocess.PIPE, \\n stderr=subprocess.PIPE,\\n universal_newlines=True)\\n\\n self.out , self.err = process.communicate()\\n\\n self.setSummary(self.get_test_summary())\\n self.setExecutionStatus(process.returncode)\\n\\n if process.returncode != 0:\\n return process.returncode\\n\\n # Capture coverage data after running tests\\n self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --no-checksum --directory build/' + self.name + ' --capture --output-file build/lcov.info')\\n\\n # Add baseline counters\\n out, err = self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --add-tracefile build/lcov.base --add-tracefile build/lcov.info --output-file build/lcov.total')\\n\\n # Remove coverage data for a particular set of files from the tracefile\\n out, err = self.run_lcov_cmd('--rc lcov_branch_coverage=' + self.use_branch_coverage + ' --remove build/lcov.total /usr* /opt* */test/* */CMakeFiles/* */build/* --output-file build/lcov.total.cleaned')\\n \\n # Extract line coverage from output\\n if 'lines......:' in out:\\n self.coverage = float(out.split('lines......: ')[1].split('%')[0])\\n else:\\n self.coverage = 0\\n\\n return 0\",\n \"def _test(self):\",\n \"def _test(self):\",\n \"def _test(self):\",\n \"def _test(self):\",\n \"def _test(self):\",\n \"def test_with_file(self, file_path):\\n result = self.run(file_path=file_path)\\n return self._handle_test_result(result)\",\n \"def test(self):\\n for arch, python in self.python:\\n self.run(f\\\"{python} -m pytest\\\")\",\n \"def test():\\n tests = unittest.TestLoader().discover('tests')\\n result = unittest.TextTestRunner(verbosity=2).run(tests)\\n if result.wasSuccessful():\\n return 0\\n else:\\n return 1\",\n \"def task_test():\\n return {\\n 'actions': ['py.test tests/'],\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71587485","0.6982787","0.69825524","0.69750357","0.6971307","0.69660246","0.6936495","0.6896736","0.6883618","0.6883618","0.6883618","0.6883618","0.68168396","0.6809316","0.68035895","0.6797254","0.67825884","0.67797387","0.67692393","0.6762063","0.67571574","0.6743398","0.6743398","0.67236584","0.6719719","0.6719719","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6716755","0.6706668","0.6706183","0.67058444","0.6696555","0.66841537","0.6676025","0.66755354","0.6642887","0.6642887","0.6642887","0.6639502","0.66286916","0.66234684","0.6615205","0.6610799","0.66000444","0.65867025","0.6574349","0.6567206","0.6561108","0.6547068","0.65427506","0.65317464","0.6529408","0.65104914","0.6508725","0.6502348","0.6484587","0.64838547","0.6472924","0.6472924","0.6449016","0.644026","0.64356416","0.6428214","0.64201236","0.6411535","0.64054644","0.64002436","0.6399859","0.63989353","0.6397895","0.6394136","0.6394136","0.6388964","0.6384564","0.6384087","0.63812405","0.63812405","0.6378547","0.63701785","0.6369835","0.6369835","0.6369835","0.6369835","0.6369835","0.63513535","0.6339505","0.63257736","0.63224244"],"string":"[\n \"0.71587485\",\n \"0.6982787\",\n \"0.69825524\",\n \"0.69750357\",\n \"0.6971307\",\n \"0.69660246\",\n \"0.6936495\",\n \"0.6896736\",\n \"0.6883618\",\n \"0.6883618\",\n \"0.6883618\",\n \"0.6883618\",\n \"0.68168396\",\n \"0.6809316\",\n \"0.68035895\",\n \"0.6797254\",\n \"0.67825884\",\n \"0.67797387\",\n \"0.67692393\",\n \"0.6762063\",\n \"0.67571574\",\n \"0.6743398\",\n \"0.6743398\",\n \"0.67236584\",\n \"0.6719719\",\n \"0.6719719\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6716755\",\n \"0.6706668\",\n \"0.6706183\",\n \"0.67058444\",\n \"0.6696555\",\n \"0.66841537\",\n \"0.6676025\",\n \"0.66755354\",\n \"0.6642887\",\n \"0.6642887\",\n \"0.6642887\",\n \"0.6639502\",\n \"0.66286916\",\n \"0.66234684\",\n \"0.6615205\",\n \"0.6610799\",\n \"0.66000444\",\n \"0.65867025\",\n \"0.6574349\",\n \"0.6567206\",\n \"0.6561108\",\n \"0.6547068\",\n \"0.65427506\",\n \"0.65317464\",\n \"0.6529408\",\n \"0.65104914\",\n \"0.6508725\",\n \"0.6502348\",\n \"0.6484587\",\n \"0.64838547\",\n \"0.6472924\",\n \"0.6472924\",\n \"0.6449016\",\n \"0.644026\",\n \"0.64356416\",\n \"0.6428214\",\n \"0.64201236\",\n \"0.6411535\",\n \"0.64054644\",\n \"0.64002436\",\n \"0.6399859\",\n \"0.63989353\",\n \"0.6397895\",\n \"0.6394136\",\n \"0.6394136\",\n \"0.6388964\",\n \"0.6384564\",\n \"0.6384087\",\n \"0.63812405\",\n \"0.63812405\",\n \"0.6378547\",\n \"0.63701785\",\n \"0.6369835\",\n \"0.6369835\",\n \"0.6369835\",\n \"0.6369835\",\n \"0.6369835\",\n \"0.63513535\",\n \"0.6339505\",\n \"0.63257736\",\n \"0.63224244\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.82097435"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":91298,"cells":{"query":{"kind":"string","value":"Convenience for adding html to input field"},"document":{"kind":"string","value":"def AddLabel(html_input, label=None):\n id = html_input.id\n if label:\n return html.Div([\n html.Label(children=label, htmlFor=id),\n html_input,\n ])\n else:\n return html_input"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def html(self):\n lbl = escape(self._label)\n dis = ('disabled' if not self._enabled else '')\n typ = ('password' if self._password else 'text')\n nam = escape(self._name)\n val = escape(self._value)\n return '%s <input name=\"%s\" %s type=\"%s\" value=\"%s\" size=\"%i\">' % (lbl, nam, dis, typ, val, self._size)","def htmlTextInput(labelText, parName, args, size=None, maxLength = None, labelAttr='', attr=''):\n snippet = htmlLabel(labelText,parName,labelAttr)\n snippet += '<input type=\"text\" name=\"%s\"' % parName\n if parName in args:\n snippet += ' value=\"%s\"' % escape(args[parName],True)\n if size!=None:\n snippet += ' size=\"%s\"' % size\n if maxLength!=None:\n snippet += ' maxlength=\"%s\"' % maxLength\n snippet += '%s/>\\n' % sep(attr)\n return snippet","def render(self, **kwargs):\r\n return h.text_field(self.name, value=self.value, **kwargs)","def formField(type_, caption, action, object_='', instruction='', *args, **kwargs):\n html = '<div class=\"block\">'\n html += '<strong>%s</strong>' % caption\n if instruction:\n html += elementInstruc(instruction)\n html += '</div>'\n html += '<div class=\"block\">'\n if type_ == 'select':\n html += select(action, object_, *args, **kwargs)\n elif type_ == 'richTextArea':\n html += richTextArea(action+object_, *args, **kwargs)\n elif type_ == 'textArea':\n html += textArea(action+object_, *args, **kwargs)\n elif type_ == 'textInput':\n html += textInput(action+object_, *args, **kwargs)\n elif type_ == 'checkbox':\n html += checkbox(*args, **kwargs)\n html += '</div>'\n return html","def render(self, name, value, attrs=None):\n append = self.attrs.pop(\"append\", self.appended_text)\n if value is None:\n value = ''\n final_attrs = self.build_attrs(attrs, type=self.input_type, name=name)\n if value != '':\n # Only add the 'value' attribute if a value is non-empty.\n final_attrs['value'] = force_text(self._format_value(value))\n return format_html('<div class=\"inputs\"><input {}/><span>{}</span></div>',\n \" \".join(\"{}={}\".format(*attr) for attr in final_attrs.items()),\n append)","def generate_input(title, input_widget):\n\n return html.Div([\n # Titre de l'input\n html.Li([\n html.H6(title)\n ]),\n\n # Input\n input_widget\n ])","def textInput(name, value=u\"\", size=40, disabled=u\"\", **kwargs):\n html = u\"<input type=\\\"text\\\" \"\n html += u\"name=\\\"%s\\\" \" % name\n html += u\"id=\\\"%s\\\" \" % name\n html += u\"value=\\\"%s\\\" \" % value\n html += u\"size=\\\"%s\\\" \" % size\n for key, val in kwargs.items():\n html += u' %s=\"%s\"' % (key.replace('_', ''), val.replace('\"', '\\\\\"'))\n html += disabled+u\" />\\n\"\n return html","def render(self, name, value, attrs=None, renderer=None):\n html = \"\"\n html += \"%s\" % value\n html += '<input type=\"hidden\" name=\"%s\" value=\"%s\">' % (escape(name), escape(value))\n return mark_safe(html)","def render(self):\n start_tag = format_html('<div {}>', mark_safe(' '.join(self.field_attrs)))\n output = [start_tag]\n for widget in self:\n output.append(force_text(widget))\n output.append('</div>')\n return mark_safe('\\n'.join(output))","def html(self):\n bop = ('<b>' if self._bold else '')\n iop = ('<i>' if self._italic else '')\n icl = ('</i>' if self._italic else '')\n bcl = ('</b>' if self._bold else '')\n txt = escape(self._text)\n s = '%s%s%s%s%s' % (bop, iop, txt, icl, bcl)\n return '%s' % s","def setHtmlValue(self, html): #$NON-NLS-1$\r","def TextWidget(*args, **kw):\n kw['value'] = str(kw['value'])\n kw.pop('options', None)\n return TextInput(*args,**kw)","def html(self):\n dis = ('disabled' if not self._enabled else '')\n met = ('post' if self._html_post else 'get')\n act = escape(self._action)\n txt = escape(self._text)\n return '<button %s formaction=\"%s\" formmethod=\"%s\">%s</button>' % (dis, act, met, txt)","def _enter_text(elem, text, append=False, prepend=False, clear=True):\n pre = app = u''\n\n if prepend:\n pre = elem.value()\n elif append:\n app = elem.value()\n if clear:\n elem.clear()\n elem.send_keys((pre + text + app))","def html5_field(name, base):\n return type(str(\"\"), (base,), {\"input_type\": name})","def __html__(self):\n return str(self)","def setHTML(self, text):\n\n self.ui.textBrowser.append(text)","def enter_text(self, text):\n self.q(css='#fixture input').fill(text)","def test_html_tag(self):\n tag = 'fake_tag_given'\n attrs = ' id=\"fake_element\" fake_attr=\"pointless value\"'\n content = 'This is some test content'\n expected = '<%(tag)s%(attr)s>%(content)s</%(tag)s>' % {'tag': tag, 'attr': attrs, 'content': content}\n actual = self.form._html_tag(tag, content, attrs)\n self.assertEqual(expected, actual)","def XMLTextFieldWidget(field, request):\n return FieldWidget(field, XMLTextWidget(request))","def _repr_html_(self):\n return self.__repr__()","def _repr_html_(self):\n return self.__repr__()","def add_special_input(self, input, number, logid='default-log'):\n cell = self.get_cell(number, logid)\n in_element = ET.SubElement(cell, 'special')\n in_element.text = input","def render(self,value):\n self.content += value\n if self._rendernl:\n self.content += self._rendernl","def edit_form_entry_edit_option_html(cls):\n return \"\"\"\n <li><a href=\"{edit_url}\">\n <span class=\"{edit_option_class}\"></span> {edit_text}</a>\n </li>\n \"\"\".format(\n edit_url=\"{edit_url}\",\n edit_option_class=cls.form_edit_form_entry_option_class,\n edit_text=\"{edit_text}\",\n )","def value_as_html(self):\n property_name = \"_%s_as_html\" % self.attribute.type\n return getattr(self, property_name, self.value_as_text)","def __init__(self,name,value,*args,**kargs):\n self._is_string_ = type(value) == str\n self._plain = kargs.get('plain',False)\n self.input = QtGui.QTextEdit()\n InputItem.__init__(self,name,*args,**kargs)\n self.setValue(value)\n self.layout().insertWidget(1,self.input)","def htmlText(text, attr='', escapeText=False):\n return '<div%s>%s</div>\\n' % (sep(attr),escape(text) if escapeText else text)","def TCFieldWidget(field, request):\n widget = FieldWidget(field, TCWidget(request))\n # widget.label = u'' # don't show the label twice\n return widget","def __html__(self):\n return self.html","def text_field(self, value):\n self.set_property(\"TextField\", value)","def render(self, name, value, *args, **kwargs):\n if not hasattr(self, 'form'):\n # the form has not been injected to the widget, failover to the\n # original widget\n return mark_safe(self.widget.render(name, value, *args, **kwargs))\n\n opts = self.form.instance._meta\n # url refers to the POST location used by TinyMCE's AJAX save function.\n # If we're on an add page, we don't want to POST save anything.\n url = None\n if self.form.instance.pk:\n url = reverse('admin:%s_%s_change' % (\n opts.app_label, opts.model_name),\n args=(quote(self.form.instance.pk),))\n\n output = [self.widget.render(name, value, *args, **kwargs)]\n # name - input name, value, kwargs['attrs']['id'] input id\n for klass, js in self.widget_overrides:\n if isinstance(self.widget, klass):\n output.append('<script type=\"text/javascript\">')\n output.append(js % (kwargs['attrs'].get('id', ''), url))\n output.append('</script>')\n break\n\n return mark_safe(''.join(output))","def render(self, name, value, attrs=None):\n if self.template is not None:\n return render_to_string(self.template, context=dict(name=name, value=value, **attrs))\n return super(ClearableImageInput, self).render(name, value, attrs)","def decorate_error(self, element, error):\n if error is None:\n return element\n\n div = self.div(class_='nagare-error-input')\n div.append(element)\n\n return self.div(\n div,\n self.div(error, class_='nagare-error-message'),\n class_='nagare-error-field'\n )","def render(self, value):\r\n return value","def render(self):\n return mark_safe(u'%s' % u'\\n'.join([u'<td class=\"qcradiobutton\">%s</td>'\n % force_unicode(w) for w in self]))","def html(self, html: str):\n self._html = html","def html(self, html):\n\n self._html = html","def render(self, value, context=None):\n if self.raw_html is not None:\n return format_html(self.raw_html)\n else:\n return ''","def create_input_element(self, **kwargs):\r\n return None","def generic_input_text(self, element_id, text):\n self._generic_input(element_id, text)","def test_add_widget_classes_simple():\n form = ExampleForm({\"text\": \"some text here\"})\n field = form[\"text\"]\n result = add_widget_classes(field)\n expected = '<input type=\"text\" name=\"text\" value=\"some text here\" class=\"nhsuk-input\" required id=\"id_text\">'\n assert result == expected","def handle_data(self, data):\n if self.current_parent_element['tag'] == '':\n self.cleaned_html += '<p>'\n self.current_parent_element['tag'] = 'p'\n\n self.cleaned_html += data","def get_html_string(self, **kwargs):\n ...","def renderEdit(self):\n if self.discussion.isNone:\n return \"\"\n html = common.textInput(\"topic\" + self.id, self.discussion.topic)\n html += common.elementInstruc(self.discussion.instruc)\n html += u\"<br/>\\n\"\n html += common.richTextArea(\"dIntro\" + self.id, self.discussion.intro)\n return html","def boots_field(field):\n\n field.field.widget.attrs['placeholder'] = field.label\n\n if type(field.field) in BOOTSTRAP_TEMPLATE_SWITCH:\n t = template.loader.get_template(BOOTSTRAP_TEMPLATE_SWITCH[type(field.field)])\n else:\n t = template.loader.get_template(\"bootstrap_tags/form_field.html\")\n\n return t.render(template.Context({\"field\": field}))","def set_text(self, input_text):\n self.clear()\n logging.getLogger(__name__).info(\n \"This text set to input field: {}\\nby = {}\\nvalue = {}\".format(input_text, self.by, self.value))\n self.driver.find_element(self.by, self.value).send_keys(input_text)","def as_html(self):\r\n return mark_safe(' '.join(['%s=\"%s\"' % (k, escape(v if not callable(v) else v()))\r\n for k, v in six.iteritems(self)]))","def html_tag(string, input_id, proc):\n return html_simple_element(\n string, \"a\", 'id=\"' + proc + \"_\" + normalise_tag_id(input_id) + '\"'\n )","def _repr_html_(self):\n\n return self._repr__base(rich_output=True)","def _repr_html_(self):\n\n return self._repr__base(rich_output=True)","def innerHTML(self, html: str) -> None:\n if self._inner_element:\n self._inner_element.innerHTML = html\n else:\n super().innerHTML = html # type: ignore","def make_input(value):\n what = value[0]\n if what.startswith('not editable'):\n what = what.replace('not editable:', '').replace(\"'\", \"\\'\")\n if what.startswith('attribute:value:'):\n what = what.replace('attribute:value:', '').replace(\"'\", \"\\'\")\n return what","def inline_html(self, html):\n if self.options.get('escape'):\n return [escape(html)]\n return [html]","def render_input(env_spec_entry):\n default_value = env_spec_entry[\"default_value\"]\n default_value_state = f'value=\"{default_value}\"' if default_value else \"\"\n\n env_spec_entry_input = (\n f'<input id=\"env_spec_{env_spec_entry[\"name\"].lower()}\" '\n f'name=\"{env_spec_entry[\"name\"].lower()}\" type=\"{env_spec_entry[\"type\"]}\" '\n f'{default_value_state}\" />\\n'\n )\n return env_spec_entry_input","def html(self) -> SafeString:\n return format_html(self.__html__())","def html(self) -> SafeString:\n return format_html(self.__html__())","def add_input(self, input, number, logid='default-log'):\n cell = self.get_cell(number, logid)\n in_element = ET.SubElement(cell, 'input')\n in_element.text = input","def markdown_escape_field(model, field_name):\n setattr(model, field_name, markdown_escape(getattr(model, field_name)))","def test_prep_fields_called_html_output(self):\n pass","def get_html(self, *args, **kwargs):\n return Text(self.get_data(*args, **kwargs), escape=False)","def TextFieldOptionsAddText(builder, text):\n return AddText(builder, text)","def add_text(self, text):\n self.text = self.text + text","def setValue(self,val):\n val = str(val)\n if self._plain:\n self.input.setText(val)\n else:\n updateText(self.input,val)","def bootstrap_control_field(field):\n return field.as_widget(attrs={\n \"class\": \" \".join(a for a in (field.css_classes(), \"form-control\") if a),\n \"placeholder\": field.label\n });","def __init__(self,name,value,*args,**kargs):\n self._plain = kargs.get('plain',False)\n self.input = QtGui.QLabel()\n maxw,maxh = maxSize()\n self.input.setMaximumSize(int(0.75*maxw),maxh)\n InputItem.__init__(self,name,*args,**kargs)\n self.setValue(value)\n self.layout().insertWidget(1,self.input)\n self.label.setWordWrap(True)\n self.setSize()","def test_add_widget_classes_error_on_field():\n form = ExampleForm({\"text\": \"\"})\n field = form[\"text\"]\n result = add_widget_classes(field)\n expected = '<input type=\"text\" name=\"text\" class=\"nhsuk-input nhsuk-input--error\" required id=\"id_text\">'\n assert result == expected","def toHTML(self):\n return oidutil.autoSubmitHTML(self.toFormMarkup())","def add_text_to_ele(elt, text):\n elt.text = text","def mk_custom_field(self):\n msg = \"Do you want to generate a minefield with these options?\"\n self.popup.set_text(msg)\n self.popup.set_title(\"GENERATE FIELD?\")\n self.set_focused_ui(self.popup)\n self.popup.set_enabled(True)","def _encode_html(data: str) -> str:\n return html.escape(data)","def html_tag(tag):\n def wrap_text(msg):\n print(\"<{0}>{1}</{0}>\".format(tag, msg))\n return wrap_text","def __html__(self) -> str:\n components = [\n self.attributee_html,\n f'\"{self.linked_title}\"',\n self.date.string if self.date else '',\n ]\n return self.components_to_html(components)","def render(self, name, value, attrs=None):\n raise NotImplementedError('subclasses of Widget must provide a render() method')","def test_render_value(self):\n dummy_string_value = 'staff, verified'\n input_field_name = 'viewers'\n extra_formating = ''\n if django.VERSION < (2, 1):\n extra_formating = ' /'\n expected_widget_html = '<input type=\"text\" name=\"{input_field_name}\" value=\"{serialized_value}\"{extra_formating}>'.format( # lint-amnesty, pylint: disable=line-too-long\n input_field_name=input_field_name,\n serialized_value=dummy_string_value,\n extra_formating=extra_formating,\n )\n output = self.widget.render(name=input_field_name, value=dummy_string_value)\n assert expected_widget_html == output\n\n dummy_list_value = ['staff', 'verified']\n output = self.widget.render(name=input_field_name, value=dummy_list_value)\n assert expected_widget_html == output","def html_tag(tag):\n def wrap_text(msg):\n print(\"<{0}>{1}</{0}>\".format(tag, msg))\n\n return wrap_text","def clean_for_html(cls, value):\r\n return cls._clean(value, INVALID_HTML_CHARS)","def escape(cls, html):\n return (\"%s\" % (html)).replace('&', '&').replace('<', '<').replace('>', '>').replace('\"', '"').replace(\"'\", ''')","def __init__(self,name,value,*args,**kargs):\n \n kargs['text'] = '' # Force no label\n self.input = value\n InputItem.__init__(self,name,*args,**kargs)\n self.layout().insertWidget(1,self.input)","def info(level):\n if level == 'basic':\n string = _(\"Basic markup\")\n text = _(\"Only basic text tags are available in this input field.\")\n elif level == 'rich':\n string = _(\"Rich markup\")\n text = _(\"Rich and basic text tags are available in this input field.\") \n elif level == 'full':\n string = _(\"Full markup\")\n text = _(\"Every tags are available in this input field.\") \n elif level == 'none':\n string = _(\"No markup\")\n text = _(\"No tags are available in this input field.\") \n\n if level != 'none':\n text = text + \" \" + _(\"Check the markup reminder in related documentation for a description of these tags.\")\n\n return '<span class=\"help\" title=' + quoteattr(text) \\\n + '><img src=\"' + settings.STATIC_MEDIA_URL \\\n + 'images/savane/common/misc.default/edit.png' \\\n + ' border=\"0\" class=\"icon\" alt=\"\" />' \\\n + string + '</span>'","def input_text(self, element: Union[WebElement, Tuple[By, str]], text: str):\n element = self.find_element(element)\n element.send_keys(text)","def __init__(self,name,value,*args,**kargs):\n self.input = QtGui.QLineEdit(str(value))\n self.input.setReadOnly(True)\n InputItem.__init__(self,name,*args,**kargs)\n self._value_ = value\n if self._value_ is not None:\n self.layout().insertWidget(1,self.input)","def raw_html(self, HTML):\n self._html = HTML","def __init__(self, *args, **kwargs):\n super(MonkeyTyperForm, self).__init__(*args, **kwargs)\n self.fields['typedField'].widget = forms.Textarea(attrs={'cols': self.instance.dieImage.bitWidth+2,\n 'rows': self.instance.dieImage.bitHeight+2,\n 'style': 'font-family:monospace;'})","def setValue(self,val):\n self.input.setText(str(val))","def rawHTMLrendered(self):","def _repr_html_(self):\n return self.data.to_html()","def add_field(self, name, hint_text, helper_text=\"\", required=False):\n field = MyTextField(hint_text=hint_text, helper_text=helper_text, required=required)\n self.add_widget(field)\n self.fields[name] = field","def td_contents(self, item, attr_list):\n id = \"region_\" + str(self.from_attr_list(item, ['region_id'])) + \"_\" + str(\n self.from_attr_list(item, ['intro'])) + \"_\" + str(\n self.from_attr_list(item, ['last'])) + \"_\" + str(\n self.from_attr_list(item, ['current_version'])) + \"_\" + str(self.from_attr_list(item, ['id'])) + \"_\" + str(\n self.from_attr_list(item, ['original_start'])) + \"_\" + str(\n self.from_attr_list(item, ['extension_5'])) + \"_\" + str(\n self.from_attr_list(item, ['original_end'])) + \"_\" + str(\n self.from_attr_list(item, ['extension_3'])) + \"_\" + str(attr_list[0])\n # todo add an id to teh input class so you can check if starts are less than ends?\n return '<input class=\"form-control\" value=\"{number}\" name=\"{id}\">'.format(\n number=self.from_attr_list(item, attr_list), id=id)","def get_input(label):\r\n\r\n return input(label + ' > ')","def edit_form_entry_help_text_extra(cls):\n return \"\"\"\n <ul class=\"{container_class}\">\n {edit_option_html}\n <li><a href=\"{delete_url}\">\n <span class=\"{delete_option_class}\"></span> {delete_text}</a>\n </li>\n </ul>\n <input type=\"hidden\" value=\"{form_element_position}\"\n name=\"form-{counter}-position\"\n id=\"id_form-{counter}-position\"\n class=\"form-element-position\">\n <input type=\"hidden\" value=\"{form_element_pk}\"\n name=\"form-{counter}-id\" id=\"id_form-{counter}-id\">\n \"\"\".format(\n container_class=cls.form_list_container_class,\n edit_option_html=\"{edit_option_html}\",\n delete_url=\"{delete_url}\",\n delete_option_class=cls.form_delete_form_entry_option_class,\n delete_text=\"{delete_text}\",\n form_element_position=\"{form_element_position}\",\n counter=\"{counter}\",\n form_element_pk=\"{form_element_pk}\",\n )","def renderEdit(self, style):\n html = u\"<div>\\n\"\n html += self.contentElement.renderEdit()\n emphasisValues = [(_(u\"No emphasis\"), Idevice.NoEmphasis),\n (_(u\"Some emphasis\"), Idevice.SomeEmphasis)]\n html += common.formField('select', _('Emphasis'),\n 'emphasis', self.id, \n '', # TODO: Instructions\n emphasisValues,\n self.idevice.emphasis)\n html += self.renderEditButtons()\n html += u\"</div>\\n\"\n return html","def __repr__(self) -> str:\n return f\"{self.text}\"","def ButtonFieldWidget(field, request): # pylint: disable=invalid-name\n button = FieldWidget(field, ButtonWidget(request))\n button.value = field.title\n return button","def text(self, label, component, config, name, default=None):\n\n default = self.setting(config, name, default)\n if not default:\n default = \"\"\n elif isinstance(default, list):\n default = \",\".join(default)\n elif isinstance(default, dict):\n default = \",\".join(default.keys())\n\n return st.text_input(label, value=default, key=component + name)","def insert_text(self, text):\n self.str += text","def from_html(self, content):\r\n pass","def add_text_edit(self, name, value=None, label=None, add_indicator=None, location=(None,0)):\n widget=edit.LVTextEdit(self,value=value)\n widget.setObjectName(_fromUtf8(self.name+\"_\"+name))\n return self.add_simple_widget(name,widget,label=label,add_indicator=add_indicator,location=location)","def add_field(self, **kwargs):\n field = {\n 'name': kwargs.get('name'),\n 'value': kwargs.get('value'),\n 'inline': kwargs.get('inline', False)\n }\n\n self.fields.append(field)","def format_input(input):\n return f\"{input}> \""],"string":"[\n \"def html(self):\\n lbl = escape(self._label)\\n dis = ('disabled' if not self._enabled else '')\\n typ = ('password' if self._password else 'text')\\n nam = escape(self._name)\\n val = escape(self._value)\\n return '%s <input name=\\\"%s\\\" %s type=\\\"%s\\\" value=\\\"%s\\\" size=\\\"%i\\\">' % (lbl, nam, dis, typ, val, self._size)\",\n \"def htmlTextInput(labelText, parName, args, size=None, maxLength = None, labelAttr='', attr=''):\\n snippet = htmlLabel(labelText,parName,labelAttr)\\n snippet += '<input type=\\\"text\\\" name=\\\"%s\\\"' % parName\\n if parName in args:\\n snippet += ' value=\\\"%s\\\"' % escape(args[parName],True)\\n if size!=None:\\n snippet += ' size=\\\"%s\\\"' % size\\n if maxLength!=None:\\n snippet += ' maxlength=\\\"%s\\\"' % maxLength\\n snippet += '%s/>\\\\n' % sep(attr)\\n return snippet\",\n \"def render(self, **kwargs):\\r\\n return h.text_field(self.name, value=self.value, **kwargs)\",\n \"def formField(type_, caption, action, object_='', instruction='', *args, **kwargs):\\n html = '<div class=\\\"block\\\">'\\n html += '<strong>%s</strong>' % caption\\n if instruction:\\n html += elementInstruc(instruction)\\n html += '</div>'\\n html += '<div class=\\\"block\\\">'\\n if type_ == 'select':\\n html += select(action, object_, *args, **kwargs)\\n elif type_ == 'richTextArea':\\n html += richTextArea(action+object_, *args, **kwargs)\\n elif type_ == 'textArea':\\n html += textArea(action+object_, *args, **kwargs)\\n elif type_ == 'textInput':\\n html += textInput(action+object_, *args, **kwargs)\\n elif type_ == 'checkbox':\\n html += checkbox(*args, **kwargs)\\n html += '</div>'\\n return html\",\n \"def render(self, name, value, attrs=None):\\n append = self.attrs.pop(\\\"append\\\", self.appended_text)\\n if value is None:\\n value = ''\\n final_attrs = self.build_attrs(attrs, type=self.input_type, name=name)\\n if value != '':\\n # Only add the 'value' attribute if a value is non-empty.\\n final_attrs['value'] = force_text(self._format_value(value))\\n return format_html('<div class=\\\"inputs\\\"><input {}/><span>{}</span></div>',\\n \\\" \\\".join(\\\"{}={}\\\".format(*attr) for attr in final_attrs.items()),\\n append)\",\n \"def generate_input(title, input_widget):\\n\\n return html.Div([\\n # Titre de l'input\\n html.Li([\\n html.H6(title)\\n ]),\\n\\n # Input\\n input_widget\\n ])\",\n \"def textInput(name, value=u\\\"\\\", size=40, disabled=u\\\"\\\", **kwargs):\\n html = u\\\"<input type=\\\\\\\"text\\\\\\\" \\\"\\n html += u\\\"name=\\\\\\\"%s\\\\\\\" \\\" % name\\n html += u\\\"id=\\\\\\\"%s\\\\\\\" \\\" % name\\n html += u\\\"value=\\\\\\\"%s\\\\\\\" \\\" % value\\n html += u\\\"size=\\\\\\\"%s\\\\\\\" \\\" % size\\n for key, val in kwargs.items():\\n html += u' %s=\\\"%s\\\"' % (key.replace('_', ''), val.replace('\\\"', '\\\\\\\\\\\"'))\\n html += disabled+u\\\" />\\\\n\\\"\\n return html\",\n \"def render(self, name, value, attrs=None, renderer=None):\\n html = \\\"\\\"\\n html += \\\"%s\\\" % value\\n html += '<input type=\\\"hidden\\\" name=\\\"%s\\\" value=\\\"%s\\\">' % (escape(name), escape(value))\\n return mark_safe(html)\",\n \"def render(self):\\n start_tag = format_html('<div {}>', mark_safe(' '.join(self.field_attrs)))\\n output = [start_tag]\\n for widget in self:\\n output.append(force_text(widget))\\n output.append('</div>')\\n return mark_safe('\\\\n'.join(output))\",\n \"def html(self):\\n bop = ('<b>' if self._bold else '')\\n iop = ('<i>' if self._italic else '')\\n icl = ('</i>' if self._italic else '')\\n bcl = ('</b>' if self._bold else '')\\n txt = escape(self._text)\\n s = '%s%s%s%s%s' % (bop, iop, txt, icl, bcl)\\n return '%s' % s\",\n \"def setHtmlValue(self, html): #$NON-NLS-1$\\r\",\n \"def TextWidget(*args, **kw):\\n kw['value'] = str(kw['value'])\\n kw.pop('options', None)\\n return TextInput(*args,**kw)\",\n \"def html(self):\\n dis = ('disabled' if not self._enabled else '')\\n met = ('post' if self._html_post else 'get')\\n act = escape(self._action)\\n txt = escape(self._text)\\n return '<button %s formaction=\\\"%s\\\" formmethod=\\\"%s\\\">%s</button>' % (dis, act, met, txt)\",\n \"def _enter_text(elem, text, append=False, prepend=False, clear=True):\\n pre = app = u''\\n\\n if prepend:\\n pre = elem.value()\\n elif append:\\n app = elem.value()\\n if clear:\\n elem.clear()\\n elem.send_keys((pre + text + app))\",\n \"def html5_field(name, base):\\n return type(str(\\\"\\\"), (base,), {\\\"input_type\\\": name})\",\n \"def __html__(self):\\n return str(self)\",\n \"def setHTML(self, text):\\n\\n self.ui.textBrowser.append(text)\",\n \"def enter_text(self, text):\\n self.q(css='#fixture input').fill(text)\",\n \"def test_html_tag(self):\\n tag = 'fake_tag_given'\\n attrs = ' id=\\\"fake_element\\\" fake_attr=\\\"pointless value\\\"'\\n content = 'This is some test content'\\n expected = '<%(tag)s%(attr)s>%(content)s</%(tag)s>' % {'tag': tag, 'attr': attrs, 'content': content}\\n actual = self.form._html_tag(tag, content, attrs)\\n self.assertEqual(expected, actual)\",\n \"def XMLTextFieldWidget(field, request):\\n return FieldWidget(field, XMLTextWidget(request))\",\n \"def _repr_html_(self):\\n return self.__repr__()\",\n \"def _repr_html_(self):\\n return self.__repr__()\",\n \"def add_special_input(self, input, number, logid='default-log'):\\n cell = self.get_cell(number, logid)\\n in_element = ET.SubElement(cell, 'special')\\n in_element.text = input\",\n \"def render(self,value):\\n self.content += value\\n if self._rendernl:\\n self.content += self._rendernl\",\n \"def edit_form_entry_edit_option_html(cls):\\n return \\\"\\\"\\\"\\n <li><a href=\\\"{edit_url}\\\">\\n <span class=\\\"{edit_option_class}\\\"></span> {edit_text}</a>\\n </li>\\n \\\"\\\"\\\".format(\\n edit_url=\\\"{edit_url}\\\",\\n edit_option_class=cls.form_edit_form_entry_option_class,\\n edit_text=\\\"{edit_text}\\\",\\n )\",\n \"def value_as_html(self):\\n property_name = \\\"_%s_as_html\\\" % self.attribute.type\\n return getattr(self, property_name, self.value_as_text)\",\n \"def __init__(self,name,value,*args,**kargs):\\n self._is_string_ = type(value) == str\\n self._plain = kargs.get('plain',False)\\n self.input = QtGui.QTextEdit()\\n InputItem.__init__(self,name,*args,**kargs)\\n self.setValue(value)\\n self.layout().insertWidget(1,self.input)\",\n \"def htmlText(text, attr='', escapeText=False):\\n return '<div%s>%s</div>\\\\n' % (sep(attr),escape(text) if escapeText else text)\",\n \"def TCFieldWidget(field, request):\\n widget = FieldWidget(field, TCWidget(request))\\n # widget.label = u'' # don't show the label twice\\n return widget\",\n \"def __html__(self):\\n return self.html\",\n \"def text_field(self, value):\\n self.set_property(\\\"TextField\\\", value)\",\n \"def render(self, name, value, *args, **kwargs):\\n if not hasattr(self, 'form'):\\n # the form has not been injected to the widget, failover to the\\n # original widget\\n return mark_safe(self.widget.render(name, value, *args, **kwargs))\\n\\n opts = self.form.instance._meta\\n # url refers to the POST location used by TinyMCE's AJAX save function.\\n # If we're on an add page, we don't want to POST save anything.\\n url = None\\n if self.form.instance.pk:\\n url = reverse('admin:%s_%s_change' % (\\n opts.app_label, opts.model_name),\\n args=(quote(self.form.instance.pk),))\\n\\n output = [self.widget.render(name, value, *args, **kwargs)]\\n # name - input name, value, kwargs['attrs']['id'] input id\\n for klass, js in self.widget_overrides:\\n if isinstance(self.widget, klass):\\n output.append('<script type=\\\"text/javascript\\\">')\\n output.append(js % (kwargs['attrs'].get('id', ''), url))\\n output.append('</script>')\\n break\\n\\n return mark_safe(''.join(output))\",\n \"def render(self, name, value, attrs=None):\\n if self.template is not None:\\n return render_to_string(self.template, context=dict(name=name, value=value, **attrs))\\n return super(ClearableImageInput, self).render(name, value, attrs)\",\n \"def decorate_error(self, element, error):\\n if error is None:\\n return element\\n\\n div = self.div(class_='nagare-error-input')\\n div.append(element)\\n\\n return self.div(\\n div,\\n self.div(error, class_='nagare-error-message'),\\n class_='nagare-error-field'\\n )\",\n \"def render(self, value):\\r\\n return value\",\n \"def render(self):\\n return mark_safe(u'%s' % u'\\\\n'.join([u'<td class=\\\"qcradiobutton\\\">%s</td>'\\n % force_unicode(w) for w in self]))\",\n \"def html(self, html: str):\\n self._html = html\",\n \"def html(self, html):\\n\\n self._html = html\",\n \"def render(self, value, context=None):\\n if self.raw_html is not None:\\n return format_html(self.raw_html)\\n else:\\n return ''\",\n \"def create_input_element(self, **kwargs):\\r\\n return None\",\n \"def generic_input_text(self, element_id, text):\\n self._generic_input(element_id, text)\",\n \"def test_add_widget_classes_simple():\\n form = ExampleForm({\\\"text\\\": \\\"some text here\\\"})\\n field = form[\\\"text\\\"]\\n result = add_widget_classes(field)\\n expected = '<input type=\\\"text\\\" name=\\\"text\\\" value=\\\"some text here\\\" class=\\\"nhsuk-input\\\" required id=\\\"id_text\\\">'\\n assert result == expected\",\n \"def handle_data(self, data):\\n if self.current_parent_element['tag'] == '':\\n self.cleaned_html += '<p>'\\n self.current_parent_element['tag'] = 'p'\\n\\n self.cleaned_html += data\",\n \"def get_html_string(self, **kwargs):\\n ...\",\n \"def renderEdit(self):\\n if self.discussion.isNone:\\n return \\\"\\\"\\n html = common.textInput(\\\"topic\\\" + self.id, self.discussion.topic)\\n html += common.elementInstruc(self.discussion.instruc)\\n html += u\\\"<br/>\\\\n\\\"\\n html += common.richTextArea(\\\"dIntro\\\" + self.id, self.discussion.intro)\\n return html\",\n \"def boots_field(field):\\n\\n field.field.widget.attrs['placeholder'] = field.label\\n\\n if type(field.field) in BOOTSTRAP_TEMPLATE_SWITCH:\\n t = template.loader.get_template(BOOTSTRAP_TEMPLATE_SWITCH[type(field.field)])\\n else:\\n t = template.loader.get_template(\\\"bootstrap_tags/form_field.html\\\")\\n\\n return t.render(template.Context({\\\"field\\\": field}))\",\n \"def set_text(self, input_text):\\n self.clear()\\n logging.getLogger(__name__).info(\\n \\\"This text set to input field: {}\\\\nby = {}\\\\nvalue = {}\\\".format(input_text, self.by, self.value))\\n self.driver.find_element(self.by, self.value).send_keys(input_text)\",\n \"def as_html(self):\\r\\n return mark_safe(' '.join(['%s=\\\"%s\\\"' % (k, escape(v if not callable(v) else v()))\\r\\n for k, v in six.iteritems(self)]))\",\n \"def html_tag(string, input_id, proc):\\n return html_simple_element(\\n string, \\\"a\\\", 'id=\\\"' + proc + \\\"_\\\" + normalise_tag_id(input_id) + '\\\"'\\n )\",\n \"def _repr_html_(self):\\n\\n return self._repr__base(rich_output=True)\",\n \"def _repr_html_(self):\\n\\n return self._repr__base(rich_output=True)\",\n \"def innerHTML(self, html: str) -> None:\\n if self._inner_element:\\n self._inner_element.innerHTML = html\\n else:\\n super().innerHTML = html # type: ignore\",\n \"def make_input(value):\\n what = value[0]\\n if what.startswith('not editable'):\\n what = what.replace('not editable:', '').replace(\\\"'\\\", \\\"\\\\'\\\")\\n if what.startswith('attribute:value:'):\\n what = what.replace('attribute:value:', '').replace(\\\"'\\\", \\\"\\\\'\\\")\\n return what\",\n \"def inline_html(self, html):\\n if self.options.get('escape'):\\n return [escape(html)]\\n return [html]\",\n \"def render_input(env_spec_entry):\\n default_value = env_spec_entry[\\\"default_value\\\"]\\n default_value_state = f'value=\\\"{default_value}\\\"' if default_value else \\\"\\\"\\n\\n env_spec_entry_input = (\\n f'<input id=\\\"env_spec_{env_spec_entry[\\\"name\\\"].lower()}\\\" '\\n f'name=\\\"{env_spec_entry[\\\"name\\\"].lower()}\\\" type=\\\"{env_spec_entry[\\\"type\\\"]}\\\" '\\n f'{default_value_state}\\\" />\\\\n'\\n )\\n return env_spec_entry_input\",\n \"def html(self) -> SafeString:\\n return format_html(self.__html__())\",\n \"def html(self) -> SafeString:\\n return format_html(self.__html__())\",\n \"def add_input(self, input, number, logid='default-log'):\\n cell = self.get_cell(number, logid)\\n in_element = ET.SubElement(cell, 'input')\\n in_element.text = input\",\n \"def markdown_escape_field(model, field_name):\\n setattr(model, field_name, markdown_escape(getattr(model, field_name)))\",\n \"def test_prep_fields_called_html_output(self):\\n pass\",\n \"def get_html(self, *args, **kwargs):\\n return Text(self.get_data(*args, **kwargs), escape=False)\",\n \"def TextFieldOptionsAddText(builder, text):\\n return AddText(builder, text)\",\n \"def add_text(self, text):\\n self.text = self.text + text\",\n \"def setValue(self,val):\\n val = str(val)\\n if self._plain:\\n self.input.setText(val)\\n else:\\n updateText(self.input,val)\",\n \"def bootstrap_control_field(field):\\n return field.as_widget(attrs={\\n \\\"class\\\": \\\" \\\".join(a for a in (field.css_classes(), \\\"form-control\\\") if a),\\n \\\"placeholder\\\": field.label\\n });\",\n \"def __init__(self,name,value,*args,**kargs):\\n self._plain = kargs.get('plain',False)\\n self.input = QtGui.QLabel()\\n maxw,maxh = maxSize()\\n self.input.setMaximumSize(int(0.75*maxw),maxh)\\n InputItem.__init__(self,name,*args,**kargs)\\n self.setValue(value)\\n self.layout().insertWidget(1,self.input)\\n self.label.setWordWrap(True)\\n self.setSize()\",\n \"def test_add_widget_classes_error_on_field():\\n form = ExampleForm({\\\"text\\\": \\\"\\\"})\\n field = form[\\\"text\\\"]\\n result = add_widget_classes(field)\\n expected = '<input type=\\\"text\\\" name=\\\"text\\\" class=\\\"nhsuk-input nhsuk-input--error\\\" required id=\\\"id_text\\\">'\\n assert result == expected\",\n \"def toHTML(self):\\n return oidutil.autoSubmitHTML(self.toFormMarkup())\",\n \"def add_text_to_ele(elt, text):\\n elt.text = text\",\n \"def mk_custom_field(self):\\n msg = \\\"Do you want to generate a minefield with these options?\\\"\\n self.popup.set_text(msg)\\n self.popup.set_title(\\\"GENERATE FIELD?\\\")\\n self.set_focused_ui(self.popup)\\n self.popup.set_enabled(True)\",\n \"def _encode_html(data: str) -> str:\\n return html.escape(data)\",\n \"def html_tag(tag):\\n def wrap_text(msg):\\n print(\\\"<{0}>{1}</{0}>\\\".format(tag, msg))\\n return wrap_text\",\n \"def __html__(self) -> str:\\n components = [\\n self.attributee_html,\\n f'\\\"{self.linked_title}\\\"',\\n self.date.string if self.date else '',\\n ]\\n return self.components_to_html(components)\",\n \"def render(self, name, value, attrs=None):\\n raise NotImplementedError('subclasses of Widget must provide a render() method')\",\n \"def test_render_value(self):\\n dummy_string_value = 'staff, verified'\\n input_field_name = 'viewers'\\n extra_formating = ''\\n if django.VERSION < (2, 1):\\n extra_formating = ' /'\\n expected_widget_html = '<input type=\\\"text\\\" name=\\\"{input_field_name}\\\" value=\\\"{serialized_value}\\\"{extra_formating}>'.format( # lint-amnesty, pylint: disable=line-too-long\\n input_field_name=input_field_name,\\n serialized_value=dummy_string_value,\\n extra_formating=extra_formating,\\n )\\n output = self.widget.render(name=input_field_name, value=dummy_string_value)\\n assert expected_widget_html == output\\n\\n dummy_list_value = ['staff', 'verified']\\n output = self.widget.render(name=input_field_name, value=dummy_list_value)\\n assert expected_widget_html == output\",\n \"def html_tag(tag):\\n def wrap_text(msg):\\n print(\\\"<{0}>{1}</{0}>\\\".format(tag, msg))\\n\\n return wrap_text\",\n \"def clean_for_html(cls, value):\\r\\n return cls._clean(value, INVALID_HTML_CHARS)\",\n \"def escape(cls, html):\\n return (\\\"%s\\\" % (html)).replace('&', '&').replace('<', '<').replace('>', '>').replace('\\\"', '"').replace(\\\"'\\\", ''')\",\n \"def __init__(self,name,value,*args,**kargs):\\n \\n kargs['text'] = '' # Force no label\\n self.input = value\\n InputItem.__init__(self,name,*args,**kargs)\\n self.layout().insertWidget(1,self.input)\",\n \"def info(level):\\n if level == 'basic':\\n string = _(\\\"Basic markup\\\")\\n text = _(\\\"Only basic text tags are available in this input field.\\\")\\n elif level == 'rich':\\n string = _(\\\"Rich markup\\\")\\n text = _(\\\"Rich and basic text tags are available in this input field.\\\") \\n elif level == 'full':\\n string = _(\\\"Full markup\\\")\\n text = _(\\\"Every tags are available in this input field.\\\") \\n elif level == 'none':\\n string = _(\\\"No markup\\\")\\n text = _(\\\"No tags are available in this input field.\\\") \\n\\n if level != 'none':\\n text = text + \\\" \\\" + _(\\\"Check the markup reminder in related documentation for a description of these tags.\\\")\\n\\n return '<span class=\\\"help\\\" title=' + quoteattr(text) \\\\\\n + '><img src=\\\"' + settings.STATIC_MEDIA_URL \\\\\\n + 'images/savane/common/misc.default/edit.png' \\\\\\n + ' border=\\\"0\\\" class=\\\"icon\\\" alt=\\\"\\\" />' \\\\\\n + string + '</span>'\",\n \"def input_text(self, element: Union[WebElement, Tuple[By, str]], text: str):\\n element = self.find_element(element)\\n element.send_keys(text)\",\n \"def __init__(self,name,value,*args,**kargs):\\n self.input = QtGui.QLineEdit(str(value))\\n self.input.setReadOnly(True)\\n InputItem.__init__(self,name,*args,**kargs)\\n self._value_ = value\\n if self._value_ is not None:\\n self.layout().insertWidget(1,self.input)\",\n \"def raw_html(self, HTML):\\n self._html = HTML\",\n \"def __init__(self, *args, **kwargs):\\n super(MonkeyTyperForm, self).__init__(*args, **kwargs)\\n self.fields['typedField'].widget = forms.Textarea(attrs={'cols': self.instance.dieImage.bitWidth+2,\\n 'rows': self.instance.dieImage.bitHeight+2,\\n 'style': 'font-family:monospace;'})\",\n \"def setValue(self,val):\\n self.input.setText(str(val))\",\n \"def rawHTMLrendered(self):\",\n \"def _repr_html_(self):\\n return self.data.to_html()\",\n \"def add_field(self, name, hint_text, helper_text=\\\"\\\", required=False):\\n field = MyTextField(hint_text=hint_text, helper_text=helper_text, required=required)\\n self.add_widget(field)\\n self.fields[name] = field\",\n \"def td_contents(self, item, attr_list):\\n id = \\\"region_\\\" + str(self.from_attr_list(item, ['region_id'])) + \\\"_\\\" + str(\\n self.from_attr_list(item, ['intro'])) + \\\"_\\\" + str(\\n self.from_attr_list(item, ['last'])) + \\\"_\\\" + str(\\n self.from_attr_list(item, ['current_version'])) + \\\"_\\\" + str(self.from_attr_list(item, ['id'])) + \\\"_\\\" + str(\\n self.from_attr_list(item, ['original_start'])) + \\\"_\\\" + str(\\n self.from_attr_list(item, ['extension_5'])) + \\\"_\\\" + str(\\n self.from_attr_list(item, ['original_end'])) + \\\"_\\\" + str(\\n self.from_attr_list(item, ['extension_3'])) + \\\"_\\\" + str(attr_list[0])\\n # todo add an id to teh input class so you can check if starts are less than ends?\\n return '<input class=\\\"form-control\\\" value=\\\"{number}\\\" name=\\\"{id}\\\">'.format(\\n number=self.from_attr_list(item, attr_list), id=id)\",\n \"def get_input(label):\\r\\n\\r\\n return input(label + ' > ')\",\n \"def edit_form_entry_help_text_extra(cls):\\n return \\\"\\\"\\\"\\n <ul class=\\\"{container_class}\\\">\\n {edit_option_html}\\n <li><a href=\\\"{delete_url}\\\">\\n <span class=\\\"{delete_option_class}\\\"></span> {delete_text}</a>\\n </li>\\n </ul>\\n <input type=\\\"hidden\\\" value=\\\"{form_element_position}\\\"\\n name=\\\"form-{counter}-position\\\"\\n id=\\\"id_form-{counter}-position\\\"\\n class=\\\"form-element-position\\\">\\n <input type=\\\"hidden\\\" value=\\\"{form_element_pk}\\\"\\n name=\\\"form-{counter}-id\\\" id=\\\"id_form-{counter}-id\\\">\\n \\\"\\\"\\\".format(\\n container_class=cls.form_list_container_class,\\n edit_option_html=\\\"{edit_option_html}\\\",\\n delete_url=\\\"{delete_url}\\\",\\n delete_option_class=cls.form_delete_form_entry_option_class,\\n delete_text=\\\"{delete_text}\\\",\\n form_element_position=\\\"{form_element_position}\\\",\\n counter=\\\"{counter}\\\",\\n form_element_pk=\\\"{form_element_pk}\\\",\\n )\",\n \"def renderEdit(self, style):\\n html = u\\\"<div>\\\\n\\\"\\n html += self.contentElement.renderEdit()\\n emphasisValues = [(_(u\\\"No emphasis\\\"), Idevice.NoEmphasis),\\n (_(u\\\"Some emphasis\\\"), Idevice.SomeEmphasis)]\\n html += common.formField('select', _('Emphasis'),\\n 'emphasis', self.id, \\n '', # TODO: Instructions\\n emphasisValues,\\n self.idevice.emphasis)\\n html += self.renderEditButtons()\\n html += u\\\"</div>\\\\n\\\"\\n return html\",\n \"def __repr__(self) -> str:\\n return f\\\"{self.text}\\\"\",\n \"def ButtonFieldWidget(field, request): # pylint: disable=invalid-name\\n button = FieldWidget(field, ButtonWidget(request))\\n button.value = field.title\\n return button\",\n \"def text(self, label, component, config, name, default=None):\\n\\n default = self.setting(config, name, default)\\n if not default:\\n default = \\\"\\\"\\n elif isinstance(default, list):\\n default = \\\",\\\".join(default)\\n elif isinstance(default, dict):\\n default = \\\",\\\".join(default.keys())\\n\\n return st.text_input(label, value=default, key=component + name)\",\n \"def insert_text(self, text):\\n self.str += text\",\n \"def from_html(self, content):\\r\\n pass\",\n \"def add_text_edit(self, name, value=None, label=None, add_indicator=None, location=(None,0)):\\n widget=edit.LVTextEdit(self,value=value)\\n widget.setObjectName(_fromUtf8(self.name+\\\"_\\\"+name))\\n return self.add_simple_widget(name,widget,label=label,add_indicator=add_indicator,location=location)\",\n \"def add_field(self, **kwargs):\\n field = {\\n 'name': kwargs.get('name'),\\n 'value': kwargs.get('value'),\\n 'inline': kwargs.get('inline', False)\\n }\\n\\n self.fields.append(field)\",\n \"def format_input(input):\\n return f\\\"{input}> \\\"\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7169448","0.6838431","0.68178415","0.665138","0.65652514","0.63051593","0.6252572","0.6071613","0.6038615","0.6019356","0.59918284","0.59597725","0.5938401","0.5905728","0.59022725","0.5801673","0.57618266","0.5735567","0.5700711","0.56907254","0.56777066","0.56777066","0.566996","0.5650604","0.5640247","0.5624338","0.5600263","0.55928385","0.55914706","0.558277","0.5548547","0.5533328","0.5531683","0.5527143","0.5501186","0.5486628","0.5485862","0.5477528","0.5477103","0.5473372","0.54717964","0.54596025","0.5452104","0.5433513","0.5428151","0.5426955","0.5424181","0.54210377","0.54156977","0.54150563","0.54150563","0.5378319","0.53667873","0.5362993","0.53486973","0.53427386","0.53427386","0.5331378","0.5311328","0.52978307","0.5292177","0.5290538","0.5287308","0.52847254","0.5265166","0.5257823","0.5257164","0.52499783","0.52478695","0.52298594","0.5220808","0.51885825","0.5181391","0.5180446","0.51790816","0.5178077","0.51658857","0.5163275","0.5133749","0.5126377","0.5121715","0.5121478","0.5120617","0.51161534","0.51154697","0.5115056","0.510381","0.510366","0.51033235","0.5096799","0.5094824","0.50914544","0.50882924","0.5080407","0.50738925","0.5073236","0.50639427","0.5061927","0.5055206","0.5052756"],"string":"[\n \"0.7169448\",\n \"0.6838431\",\n \"0.68178415\",\n \"0.665138\",\n \"0.65652514\",\n \"0.63051593\",\n \"0.6252572\",\n \"0.6071613\",\n \"0.6038615\",\n \"0.6019356\",\n \"0.59918284\",\n \"0.59597725\",\n \"0.5938401\",\n \"0.5905728\",\n \"0.59022725\",\n \"0.5801673\",\n \"0.57618266\",\n \"0.5735567\",\n \"0.5700711\",\n \"0.56907254\",\n \"0.56777066\",\n \"0.56777066\",\n \"0.566996\",\n \"0.5650604\",\n \"0.5640247\",\n \"0.5624338\",\n \"0.5600263\",\n \"0.55928385\",\n \"0.55914706\",\n \"0.558277\",\n \"0.5548547\",\n \"0.5533328\",\n \"0.5531683\",\n \"0.5527143\",\n \"0.5501186\",\n \"0.5486628\",\n \"0.5485862\",\n \"0.5477528\",\n \"0.5477103\",\n \"0.5473372\",\n \"0.54717964\",\n \"0.54596025\",\n \"0.5452104\",\n \"0.5433513\",\n \"0.5428151\",\n \"0.5426955\",\n \"0.5424181\",\n \"0.54210377\",\n \"0.54156977\",\n \"0.54150563\",\n \"0.54150563\",\n \"0.5378319\",\n \"0.53667873\",\n \"0.5362993\",\n \"0.53486973\",\n \"0.53427386\",\n \"0.53427386\",\n \"0.5331378\",\n \"0.5311328\",\n \"0.52978307\",\n \"0.5292177\",\n \"0.5290538\",\n \"0.5287308\",\n \"0.52847254\",\n \"0.5265166\",\n \"0.5257823\",\n \"0.5257164\",\n \"0.52499783\",\n \"0.52478695\",\n \"0.52298594\",\n \"0.5220808\",\n \"0.51885825\",\n \"0.5181391\",\n \"0.5180446\",\n \"0.51790816\",\n \"0.5178077\",\n \"0.51658857\",\n \"0.5163275\",\n \"0.5133749\",\n \"0.5126377\",\n \"0.5121715\",\n \"0.5121478\",\n \"0.5120617\",\n \"0.51161534\",\n \"0.51154697\",\n \"0.5115056\",\n \"0.510381\",\n \"0.510366\",\n \"0.51033235\",\n \"0.5096799\",\n \"0.5094824\",\n \"0.50914544\",\n \"0.50882924\",\n \"0.5080407\",\n \"0.50738925\",\n \"0.5073236\",\n \"0.50639427\",\n \"0.5061927\",\n \"0.5055206\",\n \"0.5052756\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6041001"},"document_rank":{"kind":"string","value":"8"}}},{"rowIdx":91299,"cells":{"query":{"kind":"string","value":"Use matplotlib figure as component (by converting into plotly format first.)"},"document":{"kind":"string","value":"def MatplotlibFigure(id, fig, size_in_pixels):\n width_height_tuple_in_inches = (size_in_pixels[0]/fig.dpi, size_in_pixels[1]/fig.dpi)\n fig.set_size_inches(width_height_tuple_in_inches)\n plotly_fig = mpl_to_plotly(fig, strip_style=True)\n return dcc.Graph(id, figure=plotly_fig)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def make_figure(self, traces):\n pass","def get_div_from_data(mpl_fig):\n res = plotly.offline.plot_mpl(\n mpl_fig,\n include_plotlyjs=False,\n output_type='div',\n resize=True,\n image_height=\"100%\", image_width=\"100%\"\n )\n return res","def embed_matplotlib(self):","def figure():\n global fig\n return fig","def plot_mpl(fig, resize=True, strip_style=False, update=None, **plot_options):\n import plotly.tools\n\n fig = plotly.tools.mpl_to_plotly(fig, resize=resize, strip_style=strip_style)\n if update and isinstance(update, dict):\n fig.update(update)\n elif update is not None:\n raise _plotly_utils.exceptions.PlotlyGraphObjectError(\n \"'update' must be dictionary-like and a valid plotly Figure \"\n \"object. Run 'help(plotly.graph_objs.Figure)' for more info.\"\n )\n return plot(fig, **plot_options)","def create_plot():\n\n fig, ax = plt.subplots()\n return fig, ax","def iplot(figure_or_data, **plot_options):\n from plotly.basedatatypes import BaseFigure, BaseLayoutType\n\n if \"auto_open\" not in plot_options:\n plot_options[\"auto_open\"] = False\n url = plot(figure_or_data, **plot_options)\n\n if isinstance(figure_or_data, dict):\n layout = figure_or_data.get(\"layout\", {})\n if isinstance(layout, BaseLayoutType):\n layout = layout.to_plotly_json()\n elif isinstance(figure_or_data, BaseFigure):\n layout = figure_or_data.layout.to_plotly_json()\n else:\n layout = {}\n\n embed_options = dict()\n embed_options[\"width\"] = layout.get(\"width\", \"100%\")\n embed_options[\"height\"] = layout.get(\"height\", 525)\n try:\n float(embed_options[\"width\"])\n except (ValueError, TypeError):\n pass\n else:\n embed_options[\"width\"] = str(embed_options[\"width\"]) + \"px\"\n\n try:\n float(embed_options[\"height\"])\n except (ValueError, TypeError):\n pass\n else:\n embed_options[\"height\"] = str(embed_options[\"height\"]) + \"px\"\n\n return tools.embed(url, **embed_options)","def draw_figure(self, **kwargs):\n\n fig = figure(**kwargs)\n fig.xaxis.axis_label = self.x_label\n fig.yaxis.axis_label = self.y_label\n\n return fig","def bind_to_figure(ax, fig=None):\n\n if fig is not None:\n assert isinstance(fig, plt.Figure), 'argument must be a Figure'\n assert len(fig.axes) == 1, 'figure must have one and only one axes'\n new_ax = fig.axes[0]\n else:\n fig, new_ax = plt.subplots()\n\n new_ax.set_facecolor(ax.get_facecolor())\n\n for line in ax.lines:\n data = line.get_data()\n new_ax.plot(data[0], data[1], linestyle=line.get_linestyle(), color=line.get_color(),\n zorder=line.zorder, label=line.get_label())\n\n for collection in ax.collections:\n data = collection.get_offsets()\n new_ax.scatter(data[:, 0], data[:, 1], marker='s', facecolor=collection.get_facecolors(),\n edgecolor=collection.get_edgecolors(), s=collection.get_sizes(),\n zorder=line.zorder, label=collection.get_label())\n\n for text in ax.texts:\n xx, yy = text.get_position()\n new_ax.text(xx, yy, text.get_text(), family=text.get_fontfamily(),\n fontsize=text.get_fontsize(),\n color=text.get_color(), ha=text.get_horizontalalignment(),\n va=text.get_verticalalignment(), zorder=text.zorder)\n\n for image in ax.images:\n new_ax.imshow(image.get_array(), interpolation=image.get_interpolation())\n\n if ax.legend_:\n new_ax.legend()\n\n new_ax.grid(ax.get_xgridlines(), color=ax.get_xgridlines()[0].get_color(),\n alpha=ax.get_xgridlines()[0].get_alpha())\n new_ax.grid(ax.get_ygridlines(), color=ax.get_xgridlines()[0].get_color(),\n alpha=ax.get_xgridlines()[0].get_alpha())\n\n new_ax.set_xlim(ax.get_xlim())\n new_ax.set_ylim(ax.get_ylim())\n new_ax.set_xlabel(ax.get_xlabel())\n new_ax.set_ylabel(ax.get_ylabel())\n\n return fig","def figure1():\n\n plot_settings = {'y_limits': [-80, -50],\n 'x_limits': None,\n 'y_ticks': [-80, -70, -60, -50],\n 'locator_size': 5,\n 'y_label': 'Voltage (mV)',\n 'x_ticks': [],\n 'scale_size': 20,\n 'x_label': \"\",\n 'scale_loc': 4,\n 'figure_name': 'figure_1',\n 'legend_size': 8,\n 'legend': None,\n 'y_on': True}\n\n t, y = solver(100) # Integrate solution\n plt.figure(figsize=(5, 2)) # Create figure\n plt.plot(t, y[:, 0], 'k-') # Plot solution\n\n \"\"\"\n Annotate plot with figures\n \"\"\"\n plt.gca().annotate('fAHP', xy=(13.5, -65), xytext=(17, -60),\n arrowprops=dict(facecolor='black', shrink=0, headlength=10, headwidth=5, width=1), )\n plt.gca().annotate('ADP', xy=(15.5, -66), xytext=(25, -65),\n arrowprops=dict(facecolor='black', shrink=0, headlength=10, headwidth=5, width=1), )\n plt.gca().annotate('mAHP', xy=(38, -77), xytext=(43, -72),\n arrowprops=dict(facecolor='black', shrink=0, headlength=10, headwidth=5, width=1), )\n alter_figure(plot_settings, close=True) # Alter figure for publication","def save_local_interactive(fig: go.Figure, name):\n from plotly.offline import plot\n plot(fig, filename=name)","def create_figure(self) -> None:\n plt.ion()\n self.fig = plt.figure(1)\n self.axis = self.fig.add_subplot(111, xlim=(0, 1), ylim=(0, 1))\n self.axis.grid(True)\n plt.xticks(np.linspace(0, 1, self._param[\"n_v\"] + 1))\n plt.yticks(np.linspace(0, 1, self._param[\"n_v\"] + 1))\n a_plt, = self.axis.plot([], [], 'bx', markersize=5)\n l_plt, = self.axis.plot([], [], 'r.', markersize=15)\n self.plots = [a_plt, l_plt]","def plot(figure_or_data, show_link=True, link_text='Export to plot.ly',\n validate=True, output_type='file', include_plotlyjs=True,\n filename='temp-plot.html', auto_open=True, image=None,\n image_filename='plot_image', image_width=800, image_height=600):\n if output_type not in ['div', 'file']:\n raise ValueError(\n \"`output_type` argument must be 'div' or 'file'. \"\n \"You supplied `\" + output_type + \"``\")\n if not filename.endswith('.html') and output_type == 'file':\n warnings.warn(\n \"Your filename `\" + filename + \"` didn't end with .html. \"\n \"Adding .html to the end of your file.\")\n filename += '.html'\n\n config = {}\n config['showLink'] = show_link\n config['linkText'] = link_text\n\n plot_html, plotdivid, width, height = _plot_html(\n figure_or_data, config, validate,\n '100%', '100%', global_requirejs=False)\n\n resize_script = ''\n if width == '100%' or height == '100%':\n resize_script = (\n ''\n '<script type=\"text/javascript\">'\n 'window.removeEventListener(\"resize\");'\n 'window.addEventListener(\"resize\", function(){{'\n 'Plotly.Plots.resize(document.getElementById(\"{id}\"));}});'\n '</script>'\n ).format(id=plotdivid)\n\n if output_type == 'file':\n with open(filename, 'w') as f:\n if include_plotlyjs:\n plotly_js_script = ''.join([\n '<script type=\"text/javascript\">',\n get_plotlyjs(),\n '</script>',\n ])\n else:\n plotly_js_script = ''\n\n if image:\n if image not in __IMAGE_FORMATS:\n raise ValueError('The image parameter must be one of the '\n 'following: {}'.format(__IMAGE_FORMATS))\n # if the check passes then download script is injected.\n # write the download script:\n script = get_image_download_script('plot')\n script = script.format(format=image,\n width=image_width,\n height=image_height,\n filename=image_filename,\n plot_id=plotdivid)\n else:\n script = ''\n\n f.write(''.join([\n '<html>',\n '<head><meta charset=\"utf-8\" /></head>',\n '<body>',\n plotly_js_script,\n plot_html,\n resize_script,\n script,\n '</body>',\n '</html>']))\n\n url = 'file://' + os.path.abspath(filename)\n if auto_open:\n webbrowser.open(url)\n\n return url\n\n elif output_type == 'div':\n if include_plotlyjs:\n return ''.join([\n '<div>',\n '<script type=\"text/javascript\">',\n get_plotlyjs(),\n '</script>',\n plot_html,\n '</div>'\n ])\n else:\n return plot_html","def create_figure():\n data = requests.get('https://msds603-swolemate-s3.s3.us-west-2.amazonaws.com/shiqi_xycoords.json').json()\n fig = Figure()\n axis = fig.add_subplot(1, 1, 1)\n lwrist = [v for record in data for k, v in record.items() if k=='left_wrist']\n x = [i[0] for i in lwrist]\n y = [i[1] for i in lwrist]\n axis.scatter(x,y)\n axis.set_xlabel('X')\n axis.set_ylabel('Y')\n axis.set_title('Left Wrist Position')\n return fig","def _setup_plot(x: float, y: float) -> plt.figure:\n LOG.debug(\"Initializing plot.\")\n plt.ion()\n fig = plt.figure(figsize=(x, y), num=\"GlacierFlowModel\")\n fig.patch.set_facecolor(\"black\")\n return fig","def getFigure():\r\n\r\n # get merged tables\r\n df_com = merge_tables()\r\n\r\n # list of selected parameters\r\n selectedlist = [\r\n 'MT-Cu',\r\n 'MT-Se',\r\n 'MT-Zn',\r\n 'BM-milling_time',\r\n 'BM-milling_speed',\r\n 'HP-hot_press_temperature',\r\n 'HP-hot_press_pressure',\r\n 'HP-hot_press_time',\r\n 'BM-HA-probe_resistance',\r\n 'HP-HA-probe_resistance',\r\n 'HP-ICP-radio_frequency',\r\n 'BM-ICP-radio_frequency',\r\n 'BM-ICP-pb_concentration',\r\n 'BM-ICP-sn_concentration',\r\n 'BM-ICP-o_concentration',\r\n 'HP-ICP-pb_concentration',\r\n 'HP-ICP-sn_concentration',\r\n 'HP-ICP-o_concentration',\r\n ]\r\n\r\n # format data frame\r\n df_com = df_com.reset_index()\r\n\r\n # x axis for plot\r\n x_col = 'index'\r\n\r\n # plotly figure layout options\r\n fig = make_subplots(rows=5, cols=6, specs=[\r\n [{'colspan': 6},None,None,None,None,None,],\r\n [{'rowspan': 1, 'colspan': 3}, None,None, {'rowspan': 1, 'colspan': 3},None,None,], \r\n [{'colspan': 2},None,{'colspan': 2},None,{'colspan': 2},None,],\r\n [{'rowspan': 1, 'colspan': 3}, None,None,{'rowspan': 1, 'colspan': 3},None, None,],\r\n [{'rowspan': 1, 'colspan': 3},None,None,{'rowspan': 1, 'colspan': 3},None,None,]], horizontal_spacing=0.1)\r\n\r\n # Materials table data plotting\r\n y_col1 = selectedlist[0]\r\n y_col2 = selectedlist[1]\r\n y_col3 = selectedlist[2]\r\n fig.add_trace(go.Bar(x=df_com[x_col], y=df_com[y_col1],\r\n marker_color='rgb(55, 83, 109)', name='Cu'), row=1,\r\n col=1) # ,offsetgroup=0\r\n fig.add_trace(go.Bar(x=df_com[x_col], y=df_com[y_col2],\r\n marker_color='rgb(26, 118, 255)', name='Se'), row=1,\r\n col=1)\r\n fig.add_trace(go.Bar(x=df_com[x_col], y=df_com[y_col3],\r\n marker_color='rgb(0,191,255)', name='Zn'), row=1,\r\n col=1)\r\n fig.update_xaxes(title_text='Index', showgrid=False, row=1, col=1)\r\n fig.update_yaxes(title_text='Raw Material Composition',\r\n showgrid=False, row=1, col=1)\r\n\r\n # Ball milling table data plotting\r\n y_col = selectedlist[3]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['BM-milling_time_units'], df_com['BM-uid'])],\r\n marker_line_color='midnightblue',\r\n marker_size=7,\r\n marker_color='rgb(0,191,255)',\r\n marker_line_width=1,\r\n name='',\r\n ), row=2, col=1)\r\n fig.update_xaxes(title_text='Index', row=2, col=1)\r\n fig.update_yaxes(title_text='Ball Milling Time', row=2, col=1)\r\n\r\n y_col = selectedlist[4]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['BM-milling_speed_units'], df_com['BM-uid'])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(0,191,255)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='',\r\n ), row=2, col=4)\r\n fig.update_xaxes(title_text='Index', row=2, col=4)\r\n fig.update_yaxes(title_text='Ball Milling Speed', row=2, col=4)\r\n\r\n # Hot process table data plotting\r\n y_col = selectedlist[5]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='square',\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['HP-hot_press_temperature_units'],\r\n df_com['BM-uid'])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(55, 83, 109)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='',\r\n ), row=3, col=1)\r\n fig.update_xaxes(title_text='Index', row=3, col=1)\r\n fig.update_yaxes(title_text='Hot Press Temperature', row=3, col=1)\r\n\r\n y_col = selectedlist[6]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='square',\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['HP-hot_press_pressure_units'], df_com['BM-uid'\r\n ])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(55, 83, 109)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='',\r\n ), row=3, col=3)\r\n fig.update_xaxes(title_text='Index', row=3, col=3)\r\n fig.update_yaxes(title_text='Hot Press Pressure', row=3, col=3)\r\n\r\n\r\n y_col = selectedlist[7]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='square',\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['HP-hot_press_time_units'], df_com['BM-uid'\r\n ])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(55, 83, 109)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='',\r\n ), row=3, col=5)\r\n fig.update_xaxes(title_text='Index', row=3, col=5)\r\n fig.update_yaxes(title_text='Hot Press Time', row=3, col=5)\r\n\r\n # Hall measurement table plots\r\n y_col = selectedlist[8]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['BM-HA-probe_resistance_units'],\r\n df_com['BM-uid'])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(35,54,183)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='Ball Mill',\r\n ), row=4, col=1)\r\n fig.update_xaxes(title_text='Index', row=4, col=1)\r\n fig.update_yaxes(title_text='Probe Resistance', row=4, col=1)\r\n\r\n y_col = selectedlist[9]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='diamond',\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{}<br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['HP-HA-probe_resistance_units'],\r\n df_com['BM-uid'])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(274,94,91)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='Hot Process',\r\n ), row=4, col=1)\r\n \r\n # ICP measurement table plots\r\n y_col = selectedlist[10]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['BM-ICP-radio_frequency_units'],\r\n df_com['BM-uid'])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(35,54,183)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='Ball Mill',\r\n ), row=4, col=4)\r\n fig.update_xaxes(title_text='Index', row=4, col=4)\r\n fig.update_yaxes(title_text='ICP Radio Frequency', row=4, col=4)\r\n\r\n y_col = selectedlist[11]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='diamond',\r\n mode='markers',\r\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\r\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\r\n zip(df_com['HP-ICP-radio_frequency_units'],\r\n df_com['BM-uid'])],\r\n marker_line_color='midnightblue',\r\n marker_color='rgb(274,94,91)',\r\n marker_line_width=1,\r\n marker_size=7,\r\n name='Hot Process',\r\n ), row=4, col=4)\r\n \r\n # ICP measurement table concentration plots\r\n y_col = selectedlist[12]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='square',\r\n mode='markers',\r\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\r\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\r\n name='pb',\r\n marker_line_color='midnightblue',\r\n marker_color='red',\r\n marker_line_width=1,\r\n marker_size=7,\r\n ), row=5, col=1)\r\n fig.update_xaxes(title_text='Index', row=5, col=1)\r\n fig.update_yaxes(title_text='Ball Mill-ICP Concentration', row=5,\r\n col=1)\r\n\r\n y_col = selectedlist[13]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='diamond',\r\n mode='markers',\r\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\r\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\r\n name='sn',\r\n marker_line_color='midnightblue',\r\n marker_color='green',\r\n marker_line_width=1,\r\n marker_size=7,\r\n ), row=5, col=1)\r\n\r\n y_col = selectedlist[14]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n mode='markers',\r\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\r\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\r\n name='o',\r\n marker_line_color='midnightblue',\r\n marker_color='black',\r\n marker_line_width=1,\r\n marker_size=7,\r\n ), row=5, col=1)\r\n\r\n y_col = selectedlist[15]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='square',\r\n mode='markers',\r\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\r\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\r\n name='pb',\r\n marker_line_color='midnightblue',\r\n marker_color='red',\r\n marker_line_width=1,\r\n marker_size=7,\r\n ), row=5, col=4)\r\n fig.update_xaxes(title_text='Index', row=5, col=4)\r\n fig.update_yaxes(title_text='Hot Press-ICP Concentration', row=5,\r\n col=4)\r\n\r\n y_col = selectedlist[16]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n marker_symbol='diamond',\r\n mode='markers',\r\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\r\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\r\n name='sn',\r\n marker_line_color='midnightblue',\r\n marker_color='green',\r\n marker_line_width=1,\r\n marker_size=7,\r\n ), row=5, col=4)\r\n\r\n y_col = selectedlist[17]\r\n fig.add_trace(go.Scatter(\r\n x=df_com[x_col],\r\n y=df_com[y_col],\r\n mode='markers',\r\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\r\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\r\n name='o',\r\n marker_line_color='midnightblue',\r\n marker_color='black',\r\n marker_line_width=1,\r\n marker_size=7,\r\n ), row=5, col=4)\r\n\r\n # update figure options\r\n fig.update_layout(height=1800, width=900,\r\n title_text='Mat X Summary', showlegend=False)\r\n\r\n # return figure with subplots\r\n return fig","def plot(figure_or_data, validate=True, **plot_options):\n import plotly.tools\n\n figure = plotly.tools.return_figure_from_figure_or_data(figure_or_data, validate)\n for entry in figure[\"data\"]:\n if (\"type\" in entry) and (entry[\"type\"] == \"scattergl\"):\n continue\n for key, val in list(entry.items()):\n try:\n if len(val) > 40000:\n msg = (\n \"Woah there! Look at all those points! Due to \"\n \"browser limitations, the Plotly SVG drawing \"\n \"functions have a hard time \"\n \"graphing more than 500k data points for line \"\n \"charts, or 40k points for other types of charts. \"\n \"Here are some suggestions:\\n\"\n \"(1) Use the `plotly.graph_objs.Scattergl` \"\n \"trace object to generate a WebGl graph.\\n\"\n \"(2) Trying using the image API to return an image \"\n \"instead of a graph URL\\n\"\n \"(3) Use matplotlib\\n\"\n \"(4) See if you can create your visualization with \"\n \"fewer data points\\n\\n\"\n \"If the visualization you're using aggregates \"\n \"points (e.g., box plot, histogram, etc.) you can \"\n \"disregard this warning.\"\n )\n warnings.warn(msg)\n except TypeError:\n pass\n\n plot_options = _plot_option_logic(plot_options)\n\n # Initialize API payload\n payload = {\"figure\": figure, \"world_readable\": True}\n\n # Process filename\n filename = plot_options.get(\"filename\", None)\n if filename:\n # Strip trailing slash\n if filename[-1] == \"/\":\n filename = filename[0:-1]\n\n # split off any parent directory\n paths = filename.split(\"/\")\n parent_path = \"/\".join(paths[0:-1])\n filename = paths[-1]\n\n # Create parent directory\n if parent_path:\n file_ops.ensure_dirs(parent_path)\n payload[\"parent_path\"] = parent_path\n\n payload[\"filename\"] = filename\n else:\n parent_path = \"\"\n\n # Process sharing\n sharing = plot_options.get(\"sharing\", None)\n if sharing == \"public\":\n payload[\"world_readable\"] = True\n elif sharing == \"private\":\n payload[\"world_readable\"] = False\n elif sharing == \"secret\":\n payload[\"world_readable\"] = False\n payload[\"share_key_enabled\"] = True\n else:\n raise _plotly_utils.exceptions.PlotlyError(SHARING_ERROR_MSG)\n\n # Extract grid\n figure, grid = _extract_grid_from_fig_like(figure)\n\n # Upload grid if anything was extracted\n if len(grid) > 0:\n if not filename:\n grid_filename = None\n elif parent_path:\n grid_filename = parent_path + \"/\" + filename + \"_grid\"\n else:\n grid_filename = filename + \"_grid\"\n\n grid_ops.upload(\n grid=grid,\n filename=grid_filename,\n world_readable=payload[\"world_readable\"],\n auto_open=False,\n )\n\n _set_grid_column_references(figure, grid)\n payload[\"figure\"] = figure\n\n file_info = _create_or_update(payload, \"plot\")\n\n # Compute viewing URL\n if sharing == \"secret\":\n web_url = file_info[\"web_url\"][:-1] + \"?share_key=\" + file_info[\"share_key\"]\n else:\n web_url = file_info[\"web_url\"]\n\n # Handle auto_open\n auto_open = plot_options.get(\"auto_open\", None)\n if auto_open:\n _open_url(web_url)\n\n # Return URL\n return web_url","def addFigure(self,fig,xl,yl,scale):\n img = py.image.load(fig)\n w,h = img.get_size()\n img = py.transform.scale(img,(int(w*scale),int(h*scale)))\n self.figures.append(img)\n self.locs.append((xl,yl))","def iplot_mpl(fig, resize=True, strip_style=False, update=None, **plot_options):\n import plotly.tools\n\n fig = plotly.tools.mpl_to_plotly(fig, resize=resize, strip_style=strip_style)\n if update and isinstance(update, dict):\n fig.update(update)\n elif update is not None:\n raise _plotly_utils.exceptions.PlotlyGraphObjectError(\n \"'update' must be dictionary-like and a valid plotly Figure \"\n \"object. Run 'help(plotly.graph_objs.Figure)' for more info.\"\n )\n return iplot(fig, **plot_options)","def pyplot_visualize(self, plot):\n if self.graph_type == self.TYPE_PLOT:\n plot.plot(self.x_axis)\n elif self.graph_type == self.TYPE_SCATTER:\n plot.scatter(self.x_axis, self.y_axis)\n elif self.graph_type == self.TYPE_HISTOGRAM:\n plot.hist(self.x_axis, bins=self.bins)\n self.py_apply_limits(plot)\n self.py_apply_ticks(plot)","def _dump_plotly(objs, images, func):\n l = len(objs)\n #print(l)\n titles = []\n for i,x in enumerate(objs):\n if 'id' in x:\n titles.append('shape id %d' % x.id)\n else:\n titles.append('item %d' % i)\n fig = tools.make_subplots(rows=l, cols=1, subplot_titles = titles,print_grid=False )\n #print('figure attmpt: ')\n #fig['layout']['xaxis1'].update(title='monkeybar')\n #for x in fig['layout']['xaxis1']:\n #print(x)\n fig.layout.showlegend = False\n for i,x in enumerate(objs):\n traces,annotations,title = func(x,images[i])\n im = {\n \"source\": 'data:image/png;base64, ' + getbase64(images[i]),\n \"x\": 1,\n \"y\": 1 - i/(l-.5),\n \"sizex\": .5,\n \"sizey\": .5,\n }\n fig.layout.images.append(im)\n for t in traces:\n fig.append_trace(t,i+1,1)\n if title is not None:\n fig.layout['xaxis%d' % (i+1)].update(title=title)\n if annotations is not None:\n for a in annotations:\n a['xref'] = 'x%d' % (i+1)\n a['yref'] = 'y%d' % (i+1)\n fig.layout.annotations += annotations\n\n fig['layout'].update(height=400*l, width=1100, margin={\n 'l':80,\n 'r':330,\n 't':100,\n 'b':80,\n 'pad':0,\n 'autoexpand':True,\n },title='plots')\n\n return fig","def plotlyfromjson(fpath):\n with open(fpath, 'r') as f:\n v = json.loads(f.read().encode().decode())\n\n fig = go.Figure(data=v['data'], layout=v['layout'])\n return fig\n # iplot(fig, show_link=False)","def figure(self):\n if self._figure is None:\n\n self._figure, ax = plt.subplots(nrows=1, dpi=self._dpi)\n if self._verbose:\n print(f\" Figure dpi set to {self._dpi}\")\n\n self._figure.set_size_inches(self._size)\n if self._verbose:\n print(\" Figure size set to \" + str(self._size) + \" inches.\")\n\n for model in self._models:\n xs, ys, _ = zip(*model._nodes)\n\n for face in model._elements:\n xf = tuple(xs[k - 1] for k in face) # 1-base index to 0-base index\n yf = tuple(ys[k - 1] for k in face)\n # plt.fill(\n # xf,\n # yf,\n # linestyle=\"dotted\",\n # edgecolor=\"magenta\",\n # alpha=0.5,\n # facecolor=\"gray\",\n # )\n plt.fill(\n xf,\n yf,\n alpha=model._alpha,\n edgecolor=model._edgecolor,\n facecolor=model._facecolor,\n linestyle=model._linestyle,\n linewidth=model._linewidth,\n )\n\n if self._xticks:\n ax.set_xticks(self._xticks)\n\n if self._yticks:\n ax.set_yticks(self._yticks)\n\n if self._xlim:\n ax.set_xlim(self._xlim)\n\n if self._ylim:\n ax.set_ylim(self._ylim)\n\n if self._xlabel:\n ax.set_xlabel(self._xlabel)\n\n if self._ylabel:\n ax.set_ylabel(self._ylabel)\n\n # set frame on or off based on the Bool \"frame\" in .json input\n ax.set_frame_on(b=self._frame)\n if len(self._tick_params) > 0:\n ax.tick_params(**self._tick_params)\n\n if self._display:\n plt.show()\n\n if self._serialize:\n self.serialize(self._folder, self._file)\n\n plt.close(\"all\")\n self._figure = None","def _draw_plot(self, *args, **kw):\n # Simple compatibility with new-style rendering loop\n return self._draw_component(*args, **kw)","def empty_figure() -> object:\n figure = go.Figure(go.Scatter(x=[], y=[]))\n figure.update_layout(template=None)\n figure.update_xaxes(showgrid=False, showticklabels=False, zeroline=False)\n figure.update_yaxes(showgrid=False, showticklabels=False, zeroline=False)\n\n return figure","def update_figure(picks, curve, active_well): \n w = p.get_well(active_well) ##selects the correct welly.Well object\n picks_df = pd.read_json(picks)\n picks_selected = picks_df[picks_df['UWI'] == active_well.replace(' ', '-')]\n \n # regenerate figure with the new horizontal line\n fig = helper.make_log_plot(w=w, ymin=ymin)# , resample=0.1) # resample needs a float to change basis\n fig.update_layout(uirevision=active_well)\n helper.update_picks_on_plot(fig, picks_selected)\n \n return fig","def array_to_plot(points, resolution=(0.01872, 0.01872, 0.005), point_size=1.2, outfile_name=\"\"):\n # Type in the path to your csv file here\n \n thedata = points\n# print(thedata)\n\n # Set tupleResolution to resolution input parameter\n tupleResolution = resolution;\n\n # EG: for Aut1367, the spacing is (0.01872, 0.01872, 0.005).\n xResolution = tupleResolution[0]\n yResolution = tupleResolution[1]\n zResolution = tupleResolution[2]\n # Now, to get the mm image size, we can multiply all x, y, z\n # to get the proper mm size when plotting.\n \n# print('asdf')\n# x = [x * xResolution for x in thedata[:, 0]]\n# print(x)\n\n trace1 = graphobjs.Scatter3d(\n x = [x * xResolution for x in thedata[:, 0]],\n y = [x * yResolution for x in thedata[:, 1]],\n z = [x * zResolution for x in thedata[:, 2]],\n mode='markers',\n marker=dict(\n size=point_size,\n color='cyan', # set color to an array/list of desired values\n colorscale='Viridis', # choose a colorscale\n opacity=0.15\n )\n )\n\n data = [trace1]\n layout = graphobjs.Layout(\n margin=dict(\n l=0,\n r=0,\n b=0,\n t=0\n ),\n paper_bgcolor='rgb(0,0,0)',\n plot_bgcolor='rgb(0,0,0)'\n )\n\n fig = graphobjs.Figure(data=data, layout=layout)\n# print(self._token + \"plotly\")\n\n make_sure_path_exists('plots')\n \n if outfile_name == \"\":\n plotly.offline.plot(fig, filename= 'plots/' + token + \"_plot.html\")\n else:\n plotly.offline.plot(fig, filename= 'plots/' + outfile_name + \"_plot.html\")","def view(self, fig, id=None, small_ticks=True):\n if small_ticks:\n for ax in fig.get_axes():\n axes.small_ticks(ax)\n if not id:\n id = self._get_unique_id()\n image_filename = '%s.png' % id\n full_filename = os.path.join(settings.FREECELL_DIR, 'temp', image_filename)\n \n def on_draw(event):\n fig = event.canvas.figure\n ax = fig.axes[0]\n self.data_point1 = (0,0)\n self.data_point2 = (1,1)\n # The conversion between pixels and data is linear, so we try to get \n # the line parameters. This has to be done in the draw event of the print.\n # (Otherwise the transData misbehaves)\n self.pixel_point1 = ax.transData.transform(self.data_point1)\n self.pixel_point2 = ax.transData.transform(self.data_point2)\n\n \n canvas = FigureCanvasAgg(fig)\n canvas.mpl_connect('draw_event', on_draw)\n canvas.print_figure(full_filename, dpi=DPI)\n \n data = {}\n # The values calculated here are of the linear formula used to convert pixel to data point and vice versa.\n # This is used by AreaSelect.\n data['a_pixel_x'], data['b_pixel_x'] = get_line_parameters(self.data_point1[0], self.pixel_point1[0], self.data_point2[0], self.pixel_point2[0])\n data['a_pixel_y'], data['b_pixel_y'] = get_line_parameters(self.data_point1[1], self.pixel_point1[1], self.data_point2[1], self.pixel_point2[1])\n data['a_data_x'], data['b_data_x'] = get_line_parameters(self.pixel_point1[0], self.data_point1[0], self.pixel_point2[0], self.data_point2[0])\n data['a_data_y'], data['b_data_y'] = get_line_parameters(self.pixel_point1[1], self.data_point1[1], self.pixel_point2[1], self.data_point2[1])\n data['pixel_width'] = fig.get_size_inches()[0] * DPI\n data['pixel_height'] = fig.get_size_inches()[1] * DPI\n data['id'] = id\n data['id_function'] = id.replace('-','_')\n html = render('figure.html', data)\n\n with open(full_filename, 'rb') as f:\n imgdata = f.read() \n \n return View(\n self,\n html,\n [],\n [],\n {image_filename : imgdata})","def __init__( self, container, id = -1, **kwargs ):\n\n self.ax = None\n self.axline = None # axis line representing state\n self.canvas = None\n self.curSize = None\n self.cursor = None\n self.cursorLine = None # axis line following the cursor\n self.cursorLine2 = None # axis line following the cursor\n self.fig = None\n self.timer = None\n self.toolbar = None\n\n self.callbackIds = {}\n #self.isLoaded = False\n self.refAxis = kwargs.get( 'ref_axis', 'y' )\n self.refAxis2 = kwargs.get( 'ref_axis2' )\n self.showCursor = kwargs.get( 'show_cursor', True )\n #self.stateIndex = -1\n self.timeValue = -1.0\n self.titleFontSize = 16\n\n super( PlotWidget, self ).__init__( container, id )","def setup_figure(self):\n \n # connect ui widgets to measurement/hardware settings or functions\n self.ui.start_pushButton.clicked.connect(self.start)\n self.ui.interrupt_pushButton.clicked.connect(self.interrupt)\n self.settings.save_h5.connect_to_widget(self.ui.save_h5_checkBox)\n self.settings.save_movie.connect_to_widget(self.ui.save_movie_checkBox)\n \n # Set up pyqtgraph graph_layout in the UI\n self.graph_layout=pg.GraphicsLayoutWidget()\n self.ui.plot_groupBox.layout().addWidget(self.graph_layout)\n \n self.aux_graph_layout=pg.GraphicsLayoutWidget()\n self.ui.aux_plot_groupBox.layout().addWidget(self.aux_graph_layout)\n \n self.camera_layout=pg.GraphicsLayoutWidget()\n self.ui.camera_groupBox.layout().addWidget(self.camera_layout)\n\n # Create PlotItem object (a set of axes) \n \n self.plot1 = self.graph_layout.addPlot(row=1,col=1,title=\"Lick\")\n self.plot2 = self.graph_layout.addPlot(row=2,col=1,title=\"breathing\")\n\n # Create PlotDataItem object ( a scatter plot on the axes )\n self.breathing_plot = self.plot2.plot([0])\n self.lick_plot_0 = self.plot1.plot([0])\n self.lick_plot_1 = self.plot1.plot([1]) \n \n self.lick_plot_0.setPen('y')\n self.lick_plot_1.setPen('g')\n \n self.T=np.linspace(0,10,10000)\n self.k=0\n \n self.camera_view=pg.ViewBox()\n self.camera_layout.addItem(self.camera_view)\n self.camera_image=pg.ImageItem()\n self.camera_view.addItem(self.camera_image)","def create_figure(self):\n plt.rcParams.update(general_utils.returnGraphConfigs(\"anim\"))\n self.fig = plt.figure()\n self.axes = plt.axes()\n self.axes.set_xlabel(\"Cells In X (Columns)\")\n self.axes.set_ylabel(\"Cells In Y (Rows)\")\n self.axes.set_xlim(0, self.dimensions - 1)\n self.axes.set_ylim(0, self.dimensions - 1)","def plot_to_image(figure):\n\t# Save the plot to a PNG in memory.\n\tbuf = io.BytesIO()\n\tplt.savefig(buf, format='png')\n\t# Closing the figure prevents it from being displayed directly inside\n\t# the notebook.\n\tplt.close(figure)\n\tbuf.seek(0)\n\timage = PIL.Image.open(buf)\n\timage = transforms.ToTensor()(image)\n\treturn image","def simple_plotly(net, respect_switches=True, use_line_geodata=None, on_map=False,\n projection=None, map_style='basic', figsize=1, aspectratio='auto', line_width=1,\n bus_size=10, ext_grid_size=20.0, bus_color=\"blue\", line_color='grey',\n trafo_color='green', ext_grid_color=\"yellow\"):\n # create geocoord if none are available\n if 'line_geodata' not in net:\n net.line_geodata = pd.DataFrame(columns=['coords'])\n if 'bus_geodata' not in net:\n net.bus_geodata = pd.DataFrame(columns=[\"x\",\"y\"])\n if len(net.bus_geodata) == 0:\n logger.warning(\"No or insufficient geodata available --> Creating artificial coordinates.\" +\n \" This may take some time...\")\n create_generic_coordinates(net, respect_switches=respect_switches)\n if on_map == True:\n logger.warning(\"Map plots not available with artificial coordinates and will be disabled!\")\n on_map = False\n\n # check if geodata are real geographycal lat/lon coordinates using geopy\n if on_map and projection is not None:\n geo_data_to_latlong(net, projection=projection)\n\n # ----- Buses ------\n # initializating bus trace\n hoverinfo = get_hoverinfo(net, element=\"bus\")\n bus_trace = create_bus_trace(net, net.bus.index, size=bus_size, color=bus_color, infofunc=hoverinfo)\n\n # ----- Lines ------\n # if bus geodata is available, but no line geodata\n if use_line_geodata is None:\n use_line_geodata = False if len(net.line_geodata) == 0 else True\n elif use_line_geodata and len(net.line_geodata) == 0:\n logger.warning(\"No or insufficient line geodata available --> only bus geodata will be used.\")\n use_line_geodata = False\n\n line_trace = create_line_trace(net, net.line.index, respect_switches=respect_switches,\n color=line_color, width=line_width,\n use_line_geodata=use_line_geodata)\n line_center_trace = []\n if use_line_geodata == False:\n hoverinfo = get_hoverinfo(net, element=\"line\")\n line_center_trace = create_edge_center_trace(line_trace, color=line_color, infofunc=hoverinfo)\n\n # ----- Trafos ------\n trafo_trace = create_trafo_trace(net, color=trafo_color, width=line_width * 5)\n trafo_center_trace = []\n if use_line_geodata == False:\n hoverinfo = get_hoverinfo(net, element=\"trafo\")\n trafo_center_trace = create_edge_center_trace(trafo_trace, color=trafo_color, infofunc=hoverinfo)\n\n # ----- Ext grid ------\n # get external grid from create_bus_trace\n marker_type = 'circle' if on_map else 'square' # workaround because doesn't appear on mapbox if square\n # hoverinfo = get_hoverinfo(net, element=\"ext_grid\")\n ext_grid_trace = create_bus_trace(net, buses=net.ext_grid.bus,\n color=ext_grid_color, size=ext_grid_size,\n patch_type=marker_type, trace_name='external_grid', infofunc=hoverinfo)\n\n draw_traces(line_trace + trafo_trace + ext_grid_trace + bus_trace + line_center_trace + trafo_center_trace,\n aspectratio=aspectratio, figsize=figsize, on_map=on_map, map_style=map_style)","def plotMatrix(matrix:np.ndarray,if_log=False,title=\"Matrix\",plotType=\"static\",range_color=None,\n axis2genome=False,genome_coord1=None,genome_coord2=None,resolution = None):\n import plotly.express as px \n from IPython.display import Image\n\n if(if_log == True): \n matrix = np.log10(matrix)\n\n fig = px.imshow(matrix,color_continuous_scale=px.colors.sequential.Viridis,range_color=range_color)\n fig = fig.update_layout(template='simple_white').update_layout(width=650,height=600)\n\n if (axis2genome):\n import re\n #manually change axis\n posx = re.split(\"[:-]\",genome_coord2)\n xvals = np.percentile([np.round(i) for i in range(0,matrix.shape[1])],(0,25,50,75,100),interpolation='midpoint')\n xtexts = xvals*resolution + int(posx[1].replace(\",\",\"\")) + resolution/2\n xtexts = [genomecoord2human(i) for i in xtexts]\n\n posy = re.split(\"[:-]\",genome_coord1)\n yvals = np.percentile([np.round(i) for i in range(0,matrix.shape[0])],(0,25,50,75,100),interpolation='midpoint')\n ytexts = yvals*resolution + int(posy[1].replace(\",\",\"\")) + resolution/2\n ytexts = [genomecoord2human(i) for i in ytexts]\n\n fig = fig.update_xaxes(ticktext = xtexts,tickvals = xvals).update_yaxes(ticktext = ytexts,tickvals = yvals)\n\n if(plotType == \"interaction\"):\n return fig\n else : return Image(fig.to_image(format=\"png\", engine=\"kaleido\"))","def subplot_to_figure(self):\n if self.format is \"show\":\n plt.show()\n elif self.format is \"png\":\n plt.savefig(self.path + self.filename + \".png\", bbox_inches=\"tight\")","def send_fig(fig, name):\n imgdata = BytesIO()\n fig.savefig(imgdata, format='png')\n imgdata.seek(0) # rewind the data\n uri = 'data:image/png;base64,' + urllib.parse.quote(\n base64.encodebytes(imgdata.getbuffer()))\n send_action(\"update_plot\", params={\"src\": uri, \"name\": name})","def figure4():\n\n plot_settings = {'y_limits': [-80, -50],\n 'x_limits': None,\n 'y_ticks': [-80, -70, -60, -50],\n 'locator_size': 5,\n 'y_label': 'Voltage (mV)',\n 'x_ticks': [],\n 'scale_size': 20,\n 'x_label': \"\",\n 'scale_loc': 4,\n 'figure_name': 'figure_4',\n 'legend': ['control', 'apamin'],\n 'legend_size': 8,\n 'y_on': True}\n line_styles = ['-', 'dotted']\n\n plt.figure(figsize=(5, 3), dpi=96)\n\n plt.subplot(2, 1, 1) # Generate figure 1 (top)\n for ix, g_sk_bar in enumerate([0.3, 0]):\n t, y = solver(100, g_sk_bar=g_sk_bar)\n plt.plot(t, y[:, 0], c='k', linestyle=line_styles[ix])\n alter_figure(plot_settings) # Alter figure for publication\n\n plt.subplot(2, 1, 2)\n t1 = 1200\n t, y = solver(t1, t_start=50, duration=t1, i_bias_on=0.33, g_sk_bar=0.03)\n plt.plot(t, y[:, 0], 'k-')\n\n plot_settings['y_limits'] = [-100, 30]\n plot_settings['x_limits'] = [0, t1]\n plot_settings['y_ticks'] = [-80, -60, -40, -20, 0, 20]\n plot_settings['locator_size'] = 10\n plot_settings['scale_size'] = 100\n plot_settings['legend'] = None\n alter_figure(plot_settings, close=True) # Alter plot for publication","def plot_axes_on_fig(ax, fig=None, geometry=(1, 1, 1)):\n if fig is None:\n fig = plt.figure()\n if ax.get_geometry() != geometry:\n ax.change_geometry(*geometry)\n axes = fig.axes.append(ax)\n return fig, axes","def create_figure_file():\n\n # Any plotly compliant dict or list that can be converted to json. You can use the Plotly python sdk to construct figures, by adding it to requirements.txt\n fig = {\"data\": [{\"x\": [\"giraffes\", \"orangutans\", \"monkeys\"],\n \"y\": [20, 14, 23],\n \"type\": \"bar\"\n }]}\n\n # Dump the dict to a plain text json file. Note that for more advanced data (e.g. including numpy arrays etc) you\n # may wish to use the serialiser provided with the plotly library\n name = analysis.output_dir + '/zoo_barchart.json'\n with open(name, 'w') as outfile:\n json.dump(fig, outfile)\n\n # You can either do this here, or in your main run() function definition (or basically anywhere else you like)...\n # but you need to add the created file (which is part of the analysis results) to the output results manifest. In\n # this case we do it here, which has the advantage of keeping file creation and manifesting together; but has the\n # disadvantage of needing to modify your code to pass the analysis around. If you're unable to alter the API of your\n # code; no problem - just do all your manifest creation separately (e.g. at the end of the run function)\n fig_data = {'name': name,\n 'short_caption': 'A shortened caption',\n 'caption': 'A longer caption, perhaps including some description of why on earth we would want to see a bar chart of different zoo animals'}\n # TODO add_to_manifest('figure', name, fig_data)","def goplot(self, sender):\n cube = self.cube_picker.value\n if cube:\n IPython.display.clear_output()\n fig = plt.figure()\n x_name = self.x_coord.value\n y_name = self.y_coord.value\n if (cube.coord(axis='X').name() == x_name and\n cube.coord(axis='Y').name() == y_name):\n projection = cube.coord_system().as_cartopy_projection()\n ax = fig.add_subplot(111, projection=projection)\n ax.coastlines()\n else:\n ax = fig.add_subplot(111)\n conf = self.plot_type.value(cube, ax, coords=[x_name, y_name])\n self.browser = cube_browser.Browser(conf)\n self.browser.on_change(None)\n self.plot_container.children = [self.browser.form]","def setplot(plotdata):\n#-------------------------- \n\n\n plotdata.clearfigures() # clear any old figures,axes,items data\n\n # Figure for q[0]\n plotfigure = plotdata.new_plotfigure(name='Pressure', figno=1)\n\n # Set up for axes in this figure:\n plotaxes = plotfigure.new_plotaxes()\n plotaxes.axescmd = 'subplot(211)'\n \n #plotaxes.xlimits = [0.,150.]\n plotaxes.ylimits = [-1.,1.0]\n plotaxes.title = 'Pressure'\n\n # Set up for item on these axes:\n plotitem = plotaxes.new_plotitem(plot_type='1d_plot')\n plotitem.plot_var = 0\n plotitem.plotstyle = '-o'\n plotitem.color = 'b'\n plotitem.show = True # show on plot?\n plotitem.kwargs = {'linewidth':2,'markersize':5}\n \n\n\n # Set up for axes in this figure:\n plotaxes = plotfigure.new_plotaxes()\n plotaxes.axescmd = 'subplot(212)'\n plotaxes.xlimits = 'auto'\n plotaxes.ylimits = [-1.,1.]\n plotaxes.title = 'Velocity'\n\n # Set up for item on these axes:\n plotitem = plotaxes.new_plotitem(plot_type='1d_plot')\n plotitem.plot_var = 1\n plotitem.plotstyle = '-'\n plotitem.color = 'b'\n plotitem.show = True # show on plot?\n plotitem.kwargs = {'linewidth':3,'markersize':5}\n \n\n # Parameters used only when creating html and/or latex hardcopy\n # e.g., via visclaw.frametools.printframes:\n\n plotdata.printfigs = True # print figures\n plotdata.print_format = 'png' # file format\n plotdata.print_framenos = 'all' # list of frames to print\n plotdata.print_fignos = 'all' # list of figures to print\n plotdata.html = True # create html files of plots?\n plotdata.html_homelink = '../README.html'\n plotdata.latex = True # create latex file of plots?\n plotdata.latex_figsperline = 2 # layout of plots\n plotdata.latex_framesperline = 1 # layout of plots\n plotdata.latex_makepdf = False # also run pdflatex?\n\n return plotdata","def get_figure(file_owner_or_url, file_id=None, raw=False):\n import plotly.tools\n\n plotly_rest_url = get_config()[\"plotly_domain\"]\n if file_id is None: # assume we're using a url\n url = file_owner_or_url\n if url[: len(plotly_rest_url)] != plotly_rest_url:\n raise _plotly_utils.exceptions.PlotlyError(\n \"Because you didn't supply a 'file_id' in the call, \"\n \"we're assuming you're trying to snag a figure from a url. \"\n \"You supplied the url, '{0}', we expected it to start with \"\n \"'{1}'.\"\n \"\\nRun help on this function for more information.\"\n \"\".format(url, plotly_rest_url)\n )\n head = plotly_rest_url + \"/~\"\n file_owner = url.replace(head, \"\").split(\"/\")[0]\n file_id = url.replace(head, \"\").split(\"/\")[1]\n else:\n file_owner = file_owner_or_url\n try:\n int(file_id)\n except ValueError:\n raise _plotly_utils.exceptions.PlotlyError(\n \"The 'file_id' argument was not able to be converted into an \"\n \"integer number. Make sure that the positional 'file_id' argument \"\n \"is a number that can be converted into an integer or a string \"\n \"that can be converted into an integer.\"\n )\n if int(file_id) < 0:\n raise _plotly_utils.exceptions.PlotlyError(\n \"The 'file_id' argument must be a non-negative number.\"\n )\n\n fid = \"{}:{}\".format(file_owner, file_id)\n response = v2.plots.content(fid, inline_data=True)\n figure = response.json()\n # Fix 'histogramx', 'histogramy', and 'bardir' stuff\n for index, entry in enumerate(figure[\"data\"]):\n try:\n # Use xbins to bin data in x, and ybins to bin data in y\n if all(\n (entry[\"type\"] == \"histogramy\", \"xbins\" in entry, \"ybins\" not in entry)\n ):\n entry[\"ybins\"] = entry.pop(\"xbins\")\n\n # Convert bardir to orientation, and put the data into the axes\n # it's eventually going to be used with\n if entry[\"type\"] in [\"histogramx\", \"histogramy\"]:\n entry[\"type\"] = \"histogram\"\n if \"bardir\" in entry:\n entry[\"orientation\"] = entry.pop(\"bardir\")\n if entry[\"type\"] == \"bar\":\n if entry[\"orientation\"] == \"h\":\n _swap_xy_data(entry)\n if entry[\"type\"] == \"histogram\":\n if (\"x\" in entry) and (\"y\" not in entry):\n if entry[\"orientation\"] == \"h\":\n _swap_xy_data(entry)\n del entry[\"orientation\"]\n if (\"y\" in entry) and (\"x\" not in entry):\n if entry[\"orientation\"] == \"v\":\n _swap_xy_data(entry)\n del entry[\"orientation\"]\n figure[\"data\"][index] = entry\n except KeyError:\n pass\n\n # Remove stream dictionary if found in a data trace\n # (it has private tokens in there we need to hide!)\n for index, entry in enumerate(figure[\"data\"]):\n if \"stream\" in entry:\n del figure[\"data\"][index][\"stream\"]\n\n if raw:\n return figure\n return plotly.tools.get_graph_obj(figure, obj_type=\"Figure\")","def render_pylab(figure, fmt=\"jpg\"):\n if not callable(getattr(figure, \"savefig\", None)):\n return None\n output = StringIO()\n figure.savefig(output, format=fmt)\n contents = output.getvalue()\n output.close()\n return contents, \"image/%s\" % fmt","def figure():\n fig = plt.figure()\n ax = fig.add_subplot()\n ax.set_aspect('equal')\n return fig, ax","def update_plot():\n pass","def run(self):\n # fill the x_values,y_values,z_values dictionaries\n if not self.__fillCoordinatesFromSource():\n self.raiseAWarning('Nothing to Plot Yet. Returning.')\n return\n\n self.counter += 1\n if self.counter > 1:\n self.actcm = None\n clusterDict = deepcopy(self.outStreamTypes)\n\n # start plotting.... loop over the plots that need to be included in this figure\n for pltIndex in range(len(self.outStreamTypes)):\n plotSettings = self.options['plotSettings']['plot'][pltIndex]\n if 'gridLocation' in plotSettings:\n x = None\n y = None\n if 'x' in plotSettings['gridLocation']:\n x = list(map(int, plotSettings['gridLocation']['x'].strip().split(' ')))\n else:\n x = None\n if 'y' in plotSettings['gridLocation'].keys():\n y = list(map(int, plotSettings['gridLocation']['y'].strip().split(' ')))\n else:\n y = None\n if pltIndex == 0:\n self.ax.remove() # remove axis so that there is not an extra axis on plot with subplots\n if (len(x) == 1 and len(y) == 1):\n if self.dim == 2:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]])\n else:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]], projection='3d')\n elif (len(x) == 1 and len(y) != 1):\n if self.dim == 2:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]:y[-1]])\n else:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]:y[-1]], projection='3d')\n elif (len(x) != 1 and len(y) == 1):\n if self.dim == 2:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]])\n else:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]], projection='3d')\n else:\n if self.dim == 2:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]:y[-1]])\n else:\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]:y[-1]], projection='3d')\n\n if 'gridSpace' in self.options['plotSettings']:\n self.ax.locator_params(axis='y', nbins=4)\n self.ax.locator_params(axis='x', nbins=2)\n if 'range' in plotSettings:\n axes_range = plotSettings['range']\n if 'ymin' in axes_range:\n self.ax.set_ylim(bottom=ast.literal_eval(axes_range['ymin']))\n if 'ymax' in axes_range:\n self.ax.set_ylim(top=ast.literal_eval(axes_range['ymax']))\n if 'xmin' in axes_range:\n self.ax.set_xlim(left=ast.literal_eval(axes_range['xmin']))\n if 'xmax' in axes_range:\n self.ax.set_xlim(right=ast.literal_eval(axes_range['xmax']))\n if self.dim == 3:\n if 'zmin' in axes_range.options['plotSettings']['plot'][pltIndex]:\n if 'zmax' not in axes_range.options['plotSettings']:\n self.raiseAWarning('zmin inputted but not zmax. zmin ignored! ')\n else:\n self.ax.set_zlim(bottom=ast.literal_eval(axes_range['zmin']), top=ast.literal_eval(self.options['plotSettings']['zmax']))\n if 'zmax' in axes_range:\n if 'zmin' not in axes_range:\n self.raiseAWarning('zmax inputted but not zmin. zmax ignored! ')\n else:\n self.ax.set_zlim(bottom=ast.literal_eval(axes_range['zmin']), top=ast.literal_eval(axes_range['zmax']))\n if 'xlabel' not in plotSettings:\n self.ax.set_xlabel('x')\n else:\n self.ax.set_xlabel(plotSettings['xlabel'])\n if 'ylabel' not in plotSettings:\n self.ax.set_ylabel('y')\n else:\n self.ax.set_ylabel(plotSettings['ylabel'])\n if 'zlabel' in plotSettings:\n if self.dim == 2:\n self.raiseAWarning('zlabel keyword does not make sense in 2-D Plots!')\n elif self.dim == 3 and self.zCoordinates:\n self.ax.set_zlabel(plotSettings['zlabel'])\n elif self.dim == 3 and self.zCoordinates:\n self.ax.set_zlabel('z')\n else:\n if 'xlabel' not in self.options['plotSettings']:\n self.ax.set_xlabel('x')\n else:\n self.ax.set_xlabel(self.options['plotSettings']['xlabel'])\n if 'ylabel' not in self.options['plotSettings']:\n self.ax.set_ylabel('y')\n else:\n self.ax.set_ylabel(self.options['plotSettings']['ylabel'])\n if 'zlabel' in self.options['plotSettings']:\n if self.dim == 2:\n self.raiseAWarning('zlabel keyword does not make sense in 2-D Plots!')\n elif self.dim == 3 and self.zCoordinates:\n self.ax.set_zlabel(self.options['plotSettings']['zlabel'])\n elif self.dim == 3 and self.zCoordinates:\n self.ax.set_zlabel('z')\n\n if 'legend' in self.options['plotSettings']:\n if 'label' not in plotSettings.get('attributes', {}):\n if 'attributes' not in plotSettings:\n plotSettings['attributes'] = {}\n plotSettings['attributes']['label'] = self.outStreamTypes[pltIndex] + ' ' + str(pltIndex)\n #################\n # SCATTER PLOT #\n #################\n self.raiseADebug(f'creating plot {self.name}')\n if self.outStreamTypes[pltIndex] == 'scatter':\n if 's' not in plotSettings:\n plotSettings['s'] = '20'\n if 'c' not in plotSettings:\n plotSettings['c'] = 'b'\n if 'marker' not in plotSettings:\n plotSettings['marker'] = 'o'\n if 'alpha' not in plotSettings:\n plotSettings['alpha'] = 'None'\n if 'linewidths' not in plotSettings:\n plotSettings['linewidths'] = 'None'\n if self.colorMapCoordinates[pltIndex] is not None:\n # Find the max and min colormap values\n firstKey = utils.first(self.xValues[pltIndex].keys())\n vmin = np.amin(self.colorMapValues[pltIndex][firstKey])\n vmax = np.amax(self.colorMapValues[pltIndex][firstKey])\n for key in self.xValues[pltIndex]:\n vmin = min(vmin,np.amin(self.colorMapValues[pltIndex][key]))\n vmax = max(vmax,np.amax(self.colorMapValues[pltIndex][key]))\n plotSettings['norm'] = matplotlib.colors.Normalize(vmin,vmax)\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n for yIndex in range(len(self.yValues[pltIndex][key])):\n scatterPlotOptions = {'s': ast.literal_eval(plotSettings['s']),\n 'marker': (plotSettings['marker']),\n 'alpha': ast.literal_eval(plotSettings['alpha']),\n 'linewidths': ast.literal_eval(plotSettings['linewidths'])}\n if self.colorMapCoordinates[pltIndex] is not None:\n scatterPlotOptions['norm'] = plotSettings['norm']\n scatterPlotOptions.update(plotSettings.get('attributes', {}))\n if self.dim == 2:\n if self.colorMapCoordinates[pltIndex] is not None:\n scatterPlotOptions['c'] = self.colorMapValues[pltIndex][key][xIndex]\n scatterPlotOptions['cmap'] = matplotlib.cm.get_cmap(\"winter\")\n if self.actcm:\n first = False\n else:\n first = True\n if plotSettings['cmap'] == 'None':\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n **scatterPlotOptions)\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n try:\n self.actcm.draw_all()\n # this is not good, what exception will be thrown?\n except:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n scatterPlotOptions['cmap'] = plotSettings['cmap']\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n **scatterPlotOptions)\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m, ax=self.ax)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\n self.actcm.draw_all()\n else:\n if 'color' not in scatterPlotOptions:\n scatterPlotOptions['c'] = plotSettings['c']\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n **scatterPlotOptions)\n else:\n for zIndex in range(len(self.zValues[pltIndex][key])):\n if self.colorMapCoordinates[pltIndex] is not None:\n scatterPlotOptions['c'] = self.colorMapValues[pltIndex][key][zIndex]\n if self.actcm:\n first = False\n else:\n first = True\n if plotSettings['cmap'] == 'None':\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex], **scatterPlotOptions)\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n self.actcm.draw_all()\n else:\n scatterPlotOptions['cmap'] = plotSettings['cmap']\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex], **scatterPlotOptions)\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\n self.actcm.draw_all()\n else:\n if 'color' not in scatterPlotOptions:\n scatterPlotOptions['c'] = plotSettings['c']\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex], **scatterPlotOptions)\n #################\n # LINE PLOT #\n #################\n elif self.outStreamTypes[pltIndex] == 'line':\n minV = 0\n maxV = 0\n # If the user does not define an appropriate cmap, then use matplotlib's default.\n if 'cmap' not in plotSettings or plotSettings['cmap'] not in matplotlib.cm.datad:\n plotSettings['cmap'] = None\n if bool(self.colorMapValues):\n for key in self.xValues[pltIndex]:\n minV = min(minV,self.colorMapValues[pltIndex][key][-1][-1])\n maxV = max(maxV,self.colorMapValues[pltIndex][key][-1][-1])\n cmap = matplotlib.cm.ScalarMappable(matplotlib.colors.Normalize(minV, maxV, True), plotSettings['cmap'])\n cmap.set_array([minV,maxV])\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n if self.colorMapCoordinates[pltIndex] is not None:\n plotSettings['interpPointsX'] = str(max(200, len(self.xValues[pltIndex][key][xIndex])))\n for yIndex in range(len(self.yValues[pltIndex][key])):\n if self.dim == 2:\n if self.yValues[pltIndex][key][yIndex].size < 2:\n return\n xi, yi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], plotSettings, returnCoordinate=True)\n if self.colorMapCoordinates[pltIndex] is not None:\n self.ax.plot(xi, yi, c=cmap.cmap(self.colorMapValues[pltIndex][key][-1][-1]/(maxV-minV)))\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if self.actcm is None:\n self.actcm = self.fig.colorbar(cmap)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n self.actcm.draw_all()\n else:\n self.actPlot = self.ax.plot(xi, yi, **plotSettings.get('attributes', {}))\n else:\n for zIndex in range(len(self.zValues[pltIndex][key])):\n if self.zValues[pltIndex][key][zIndex].size <= 3:\n return\n if self.colorMapCoordinates[pltIndex] is not None:\n self.ax.plot(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n self.zValues[pltIndex][key][zIndex],\n c=cmap.cmap(self.colorMapValues[pltIndex][key][-1][-1]/(maxV-minV)))\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if self.actcm is None:\n self.actcm = self.fig.colorbar(cmap)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n self.actcm.draw_all()\n else:\n self.actPlot = self.ax.plot(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n self.zValues[pltIndex][key][zIndex],\n **plotSettings.get('attributes', {}))\n ##################\n # HISTOGRAM PLOT #\n ##################\n elif self.outStreamTypes[pltIndex] == 'histogram':\n if 'bins' not in plotSettings:\n if self.dim == 2:\n plotSettings['bins'] = '10'\n else:\n plotSettings['bins'] = '4'\n if 'normed' not in plotSettings:\n plotSettings['normed'] = 'False'\n if 'weights' not in plotSettings:\n plotSettings['weights'] = 'None'\n if 'cumulative' not in plotSettings:\n plotSettings['cumulative'] = 'False'\n if 'histtype' not in plotSettings:\n plotSettings['histtype'] = 'bar'\n if 'align' not in plotSettings:\n plotSettings['align'] = 'mid'\n if 'orientation' not in plotSettings:\n plotSettings['orientation'] = 'vertical'\n if 'rwidth' not in plotSettings:\n plotSettings['rwidth'] = 'None'\n if 'log' not in plotSettings:\n plotSettings['log'] = 'None'\n if 'color' not in plotSettings:\n plotSettings['color'] = 'b'\n if 'stacked' not in plotSettings:\n plotSettings['stacked'] = 'None'\n if self.sourceData[0].type.strip() == 'HistorySet':\n #####################################################################################################################################\n # @MANDD: This 'if' condition has been added in order to allow the user the correctly create an histogram out of an historySet #\n # If the histogram is created out of the input variables, then the plot has an identical meaning of the one generated by a pointSet #\n # However, if the histogram is created out of the output variables, then the plot consider only the last value of the array #\n #####################################################################################################################################\n data = {}\n data['x'] = np.empty(0)\n data['y'] = np.empty(0)\n for index in range(len(self.outStreamTypes)):\n for key in self.xValues[index]:\n data['x'] = np.append(data['x'], self.xValues[index][key][0][-1])\n if self.dim == 3:\n data['y'] = np.append(data['y'], self.yValues[index][key][0][-1])\n del self.xValues[index]\n self.xValues = {}\n self.xValues[index] = {}\n self.xValues[index][0] = []\n self.xValues[index][0].append(deepcopy(data['x']))\n if self.dim == 3:\n del self.yValues[index]\n self.yValues = {}\n self.yValues[index] ={ }\n self.yValues[index][0] = []\n self.yValues[index][0].append(deepcopy(data['y']))\n\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n try:\n colorss = ast.literal_eval(plotSettings['color'])\n # unknown what specific error is anticipated here, but I don't like a bare except...\n # ast.literal_eval can raise the exceptions listed below (see library docs):\n except (ValueError, TypeError, SyntaxError, MemoryError, RecursionError):\n colorss = plotSettings['color']\n if self.dim == 2:\n self.ax.hist(self.xValues[pltIndex][key][xIndex],\n bins=ast.literal_eval(plotSettings['bins']),\n density=ast.literal_eval(plotSettings['normed']),\n weights=ast.literal_eval(plotSettings['weights']),\n cumulative=ast.literal_eval(plotSettings['cumulative']),\n histtype=plotSettings['histtype'],\n align=plotSettings['align'],\n orientation=plotSettings['orientation'],\n rwidth=ast.literal_eval(plotSettings['rwidth']),\n log=ast.literal_eval(plotSettings['log']),\n color=colorss,\n stacked=ast.literal_eval(plotSettings['stacked']),\n **plotSettings.get('attributes', {}))\n else:\n for yIndex in range(len(self.yValues[pltIndex][key])):\n hist, xedges, yedges = np.histogram2d(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n bins=ast.literal_eval(plotSettings['bins']))\n elements = (len(xedges) - 1) * (len(yedges) - 1)\n if 'x_offset' in plotSettings:\n xoffset = float(plotSettings['x_offset'])\n else:\n xoffset = 0.25\n if 'y_offset' in plotSettings:\n yoffset = float(plotSettings['y_offset'])\n else:\n yoffset = 0.25\n if 'dx' in plotSettings:\n dxs = float(plotSettings['dx'])\n else:\n dxs = (self.xValues[pltIndex][key][xIndex].max() - self.xValues[pltIndex][key][xIndex].min()) / float(plotSettings['bins'])\n if 'dy' in plotSettings:\n dys = float(plotSettings['dy'])\n else:\n dys = (self.yValues[pltIndex][key][yIndex].max() - self.yValues[pltIndex][key][yIndex].min()) / float(plotSettings['bins'])\n xpos, ypos = np.meshgrid(xedges[:-1] + xoffset, yedges[:-1] + yoffset)\n self.actPlot = self.ax.bar3d(xpos.flatten(),\n ypos.flatten(),\n np.zeros(elements),\n dxs*np.ones_like(elements),\n dys*np.ones_like(elements),\n hist.flatten(),\n color=colorss,\n zsort='average',\n **plotSettings.get('attributes', {}))\n ##################\n # STEM PLOT #\n ##################\n elif self.outStreamTypes[pltIndex] == 'stem':\n if 'linefmt' not in plotSettings:\n plotSettings['linefmt'] = 'b-'\n if 'markerfmt' not in plotSettings:\n plotSettings['markerfmt'] = 'bo'\n if 'basefmt' not in plotSettings:\n plotSettings['basefmt'] = 'r-'\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n for yIndex in range(len(self.yValues[pltIndex][key])):\n if self.dim == 2:\n self.actPlot = self.ax.stem(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n linefmt=plotSettings['linefmt'],\n markerfmt=plotSettings['markerfmt'],\n basefmt = plotSettings['linefmt'],\n use_line_collection=True,\n **plotSettings.get('attributes', {}))\n else:\n # it is a basic stem plot constructed using a standard line plot. For now we do not use the previous defined keywords...\n for zIndex in range(len(self.zValues[pltIndex][key])):\n for xx, yy, zz in zip(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex]):\n self.ax.plot([xx, xx], [yy, yy], [0, zz], '-')\n ##################\n # STEP PLOT #\n ##################\n elif self.outStreamTypes[pltIndex] == 'step':\n if self.dim == 2:\n if 'where' not in plotSettings:\n plotSettings['where'] = 'mid'\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n if self.xValues[pltIndex][key][xIndex].size < 2:\n xi = self.xValues[pltIndex][key][xIndex]\n else:\n xi = np.linspace(self.xValues[pltIndex][key][xIndex].min(), self.xValues[pltIndex][key][xIndex].max(), ast.literal_eval(plotSettings['interpPointsX']))\n for yIndex in range(len(self.yValues[pltIndex][key])):\n if self.yValues[pltIndex][key][yIndex].size <= 3:\n return\n yi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], plotSettings)\n self.actPlot = self.ax.step(xi, yi, where=plotSettings['where'], **plotSettings.get('attributes', {}))\n else:\n self.raiseAWarning('step Plot not available in 3D')\n return\n ########################\n # PSEUDOCOLOR PLOT #\n ########################\n elif self.outStreamTypes[pltIndex] == 'pseudocolor':\n if self.dim == 2:\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n # Hopefully, x,y, and z are all the same length, so checking this\n # here should be good enough.\n # The problem is you cannot interpolate any amount of space if\n # you only have a single data point.\n if self.xValues[pltIndex][key][xIndex].size == 1:\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\n continue\n for yIndex in range(len(self.yValues[pltIndex][key])):\n if not self.colorMapCoordinates:\n self.raiseAMessage('pseudocolor Plot needs coordinates for color map... Returning without plotting')\n return\n for zIndex in range(len(self.colorMapValues[pltIndex][key])):\n if self.colorMapValues[pltIndex][key][zIndex].size <= 3:\n return\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n plotSettings,\n z=self.colorMapValues[pltIndex][key][zIndex],\n returnCoordinate=True)\n if plotSettings['cmap'] == 'None':\n self.actPlot = self.ax.pcolormesh(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n **plotSettings.get('attributes', {}))\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n else:\n self.actPlot = self.ax.pcolormesh(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\n **plotSettings.get('attributes', {}))\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(ma.masked_where(np.isnan(Ci), Ci))\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n actcm = self.fig.colorbar(m)\n actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n self.raiseAWarning('pseudocolor Plot is considered a 2D plot, not a 3D!')\n return\n ########################\n # SURFACE PLOT #\n ########################\n elif self.outStreamTypes[pltIndex] == 'surface':\n if self.dim == 2:\n self.raiseAWarning('surface Plot is NOT available for 2D plots, IT IS A 3D!')\n return\n else:\n if 'rstride' not in plotSettings:\n plotSettings['rstride'] = '1'\n if 'cstride' not in plotSettings:\n plotSettings['cstride'] = '1'\n if 'antialiased' not in plotSettings:\n plotSettings['antialiased'] = 'False'\n if 'linewidth' not in plotSettings:\n plotSettings['linewidth'] = '0'\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n # Hopefully, x,y, and z are all the same length, so checking this\n # here should be good enough.\n # The problem is you cannot interpolate any amount of space if\n # you only have a single data point.\n if self.xValues[pltIndex][key][xIndex].size == 1:\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\n continue\n for yIndex in range(len(self.yValues[pltIndex][key])):\n for zIndex in range(len(self.zValues[pltIndex][key])):\n if self.zValues[pltIndex][key][zIndex].size <= 3:\n return\n if self.colorMapCoordinates[pltIndex] is not None:\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n plotSettings,\n z=self.colorMapValues[pltIndex][key][zIndex],\n returnCoordinate=True)\n xig, yig, zi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n plotSettings,\n z=self.zValues[pltIndex][key][zIndex],\n returnCoordinate=True)\n if self.colorMapCoordinates[pltIndex] is not None:\n if self.actcm:\n first = False\n else:\n first = True\n if plotSettings['cmap'] == 'None':\n plotSettings['cmap'] = 'jet'\n self.actPlot = self.ax.plot_surface(xig,\n yig,\n ma.masked_where(np.isnan(zi), zi),\n rstride=ast.literal_eval(plotSettings['rstride']),\n cstride=ast.literal_eval(plotSettings['cstride']),\n facecolors=matplotlib.cm.get_cmap(name=plotSettings['cmap'])(ma.masked_where(np.isnan(Ci), Ci)),\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\n linewidth=ast.literal_eval(plotSettings['linewidth']),\n antialiased=ast.literal_eval(plotSettings['antialiased']),\n **plotSettings.get('attributes', {}))\n if first:\n self.actPlot.cmap = matplotlib.cm.get_cmap(name=plotSettings['cmap'])\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_clim(vmin=min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\n self.actcm.draw_all()\n else:\n if plotSettings['cmap'] == 'None':\n self.actPlot = self.ax.plot_surface(xig,\n yig,\n ma.masked_where(np.isnan(zi), zi),\n rstride=ast.literal_eval(plotSettings['rstride']),\n cstride=ast.literal_eval(plotSettings['cstride']),\n linewidth=ast.literal_eval(plotSettings['linewidth']),\n antialiased=ast.literal_eval(plotSettings['antialiased']),\n **plotSettings.get('attributes', {}))\n if 'color' in plotSettings.get('attributes', {}):\n self.actPlot.set_color = plotSettings.get('attributes', {})['color']\n else:\n self.actPlot.set_color = 'blue'\n else:\n self.actPlot = self.ax.plot_surface(xig,\n yig,\n ma.masked_where(np.isnan(zi), zi),\n rstride=ast.literal_eval(plotSettings['rstride']),\n cstride=ast.literal_eval(plotSettings['cstride']),\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\n linewidth=ast.literal_eval(plotSettings['linewidth']),\n antialiased=ast.literal_eval(plotSettings['antialiased']),\n **plotSettings.get('attributes', {}))\n ########################\n # TRI-SURFACE PLOT #\n ########################\n elif self.outStreamTypes[pltIndex] == 'tri-surface':\n if self.dim == 2:\n self.raiseAWarning('TRI-surface Plot is NOT available for 2D plots, it is 3D!')\n return\n else:\n if 'color' not in plotSettings:\n plotSettings['color'] = 'b'\n if 'shade' not in plotSettings:\n plotSettings['shade'] = 'False'\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n # Hopefully, x,y, and z are all the same length, so checking this\n # here should be good enough.\n # The problem is you cannot interpolate any amount of space if\n # you only have a single data point.\n if self.xValues[pltIndex][key][xIndex].size == 1:\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\n continue\n for yIndex in range(len(self.yValues[pltIndex][key])):\n for zIndex in range(len(self.zValues[pltIndex][key])):\n metric = (self.xValues[pltIndex][key][xIndex] ** 2 + self.yValues[pltIndex][key][yIndex] ** 2) ** 0.5\n metricIndeces = np.argsort(metric)\n xs = np.zeros(self.xValues[pltIndex][key][xIndex].shape)\n ys = np.zeros(self.yValues[pltIndex][key][yIndex].shape)\n zs = np.zeros(self.zValues[pltIndex][key][zIndex].shape)\n for sindex in range(len(metricIndeces)):\n xs[sindex] = self.xValues[pltIndex][key][xIndex][metricIndeces[sindex]]\n ys[sindex] = self.yValues[pltIndex][key][yIndex][metricIndeces[sindex]]\n zs[sindex] = self.zValues[pltIndex][key][zIndex][metricIndeces[sindex]]\n surfacePlotOptions = {'color': plotSettings['color'],\n 'shade': ast.literal_eval(plotSettings['shade'])}\n surfacePlotOptions.update(plotSettings.get('attributes', {}))\n if self.zValues[pltIndex][key][zIndex].size <= 3:\n return\n if self.colorMapCoordinates[pltIndex] is not None:\n if self.actcm:\n first = False\n else:\n first = True\n if plotSettings['cmap'] == 'None':\n plotSettings['cmap'] = 'jet'\n surfacePlotOptions['cmap'] = matplotlib.cm.get_cmap(name = plotSettings['cmap'])\n self.actPlot = self.ax.plot_trisurf(xs, ys, zs, **surfacePlotOptions)\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n self.actPlot.cmap = matplotlib.cm.get_cmap(name=plotSettings['cmap'])\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_clim(vmin=min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\n self.actcm.draw_all()\n else:\n if plotSettings['cmap'] != 'None':\n surfacePlotOptions[\"cmap\"] = matplotlib.cm.get_cmap(name=plotSettings['cmap'])\n self.actPlot = self.ax.plot_trisurf(xs, ys, zs, **surfacePlotOptions)\n ########################\n # WIREFRAME PLOT #\n ########################\n elif self.outStreamTypes[pltIndex] == 'wireframe':\n if self.dim == 2:\n self.raiseAWarning('wireframe Plot is NOT available for 2D plots, IT IS A 3D!')\n return\n else:\n if 'rstride' not in plotSettings:\n plotSettings['rstride'] = '1'\n if 'cstride' not in plotSettings:\n plotSettings['cstride'] = '1'\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n # Hopefully, x,y, and z are all the same length, so checking this\n # here should be good enough.\n # The problem is you cannot interpolate any amount of space if\n # you only have a single data point.\n if self.xValues[pltIndex][key][xIndex].size == 1:\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\n continue\n for yIndex in range(len(self.yValues[pltIndex][key])):\n for zIndex in range(len(self.zValues[pltIndex][key])):\n if self.zValues[pltIndex][key][zIndex].size <= 3:\n return\n if self.colorMapCoordinates[pltIndex] is not None:\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n plotSettings,\n z=self.colorMapValues[pltIndex][key][zIndex],\n returnCoordinate=True)\n xig, yig, zi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n plotSettings,\n z=self.zValues[pltIndex][key][zIndex],\n returnCoordinate=True)\n if self.colorMapCoordinates[pltIndex] is not None:\n self.raiseAWarning(f'Currently, ax.plot_wireframe() in MatPlotLib version: {matplotlib.__version__} does not support a colormap! Wireframe plotted on a surface plot...')\n if self.actcm:\n first = False\n else:\n first = True\n if plotSettings['cmap'] == 'None':\n plotSettings['cmap'] = 'jet'\n self.actPlot = self.ax.plot_wireframe(xig,\n yig,\n ma.masked_where(np.isnan(zi), zi),\n rstride=ast.literal_eval(plotSettings['rstride']),\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\n cstride=ast.literal_eval(plotSettings['cstride']),\n **plotSettings.get('attributes', {}))\n self.actPlot = self.ax.plot_surface(xig,\n yig,\n ma.masked_where(np.isnan(zi), zi),\n alpha=0.4,\n rstride=ast.literal_eval(plotSettings['rstride']),\n cmap=matplotlib.cm.get_cmap(name=plotSettings['cmap']),\n cstride=ast.literal_eval(plotSettings['cstride']),\n **plotSettings.get('attributes', {}))\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_array(self.colorMapValues[pltIndex][key])\n self.actcm = self.fig.colorbar(m)\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\n m.set_clim(vmin=min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\n self.actcm.draw_all()\n else:\n if plotSettings['cmap'] == 'None':\n self.actPlot = self.ax.plot_wireframe(xig,\n yig,\n ma.masked_where(np.isnan(zi), zi),\n rstride=ast.literal_eval(plotSettings['rstride']),\n cstride=ast.literal_eval(plotSettings['cstride']),\n **plotSettings.get('attributes', {}))\n if 'color' in plotSettings.get('attributes', {}):\n self.actPlot.set_color = plotSettings.get('attributes', {})['color']\n else:\n self.actPlot.set_color = 'blue'\n else:\n self.actPlot = self.ax.plot_wireframe(xig,\n yig,\n ma.masked_where(np.isnan(zi), zi),\n rstride=ast.literal_eval(plotSettings['rstride']),\n cstride=ast.literal_eval(plotSettings['cstride']),\n **plotSettings.get('attributes', {}))\n ########################\n # CONTOUR PLOT #\n ########################\n elif self.outStreamTypes[pltIndex] == 'contour' or self.outStreamTypes[pltIndex] == 'filledContour':\n if self.dim == 2:\n if 'numberBins' in plotSettings:\n nbins = int(plotSettings['numberBins'])\n else:\n nbins = 5\n for key in self.xValues[pltIndex]:\n if not self.colorMapCoordinates:\n self.raiseAWarning(self.outStreamTypes[pltIndex] + ' Plot needs coordinates for color map... Returning without plotting')\n return\n for xIndex in range(len(self.xValues[pltIndex][key])):\n # Hopefully, x,y, and z are all the same length, so checking this\n # here should be good enough.\n # The problem is you cannot interpolate any amount of space if\n # you only have a single data point.\n if self.xValues[pltIndex][key][xIndex].size == 1:\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\n continue\n for yIndex in range(len(self.yValues[pltIndex][key])):\n for zIndex in range(len(self.colorMapValues[pltIndex][key])):\n if self.actcm:\n first = False\n else:\n first = True\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n plotSettings,\n z=self.colorMapValues[pltIndex][key][zIndex],\n returnCoordinate=True)\n if self.outStreamTypes[pltIndex] == 'contour':\n if plotSettings['cmap'] == 'None':\n if 'color' in plotSettings.get('attributes', {}):\n color = plotSettings.get('attributes', {})['color']\n else:\n color = 'blue'\n self.actPlot = self.ax.contour(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n nbins,\n colors=color,\n **plotSettings.get('attributes', {}))\n else:\n self.actPlot = self.ax.contour(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n nbins,\n **plotSettings.get('attributes', {}))\n else:\n if plotSettings['cmap'] == 'None':\n plotSettings['cmap'] = 'jet'\n self.actPlot = self.ax.contourf(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n nbins,\n **plotSettings.get('attributes', {}))\n self.ax.clabel(self.actPlot, inline=1, fontsize=10)\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n self.actcm = self.fig.colorbar(self.actPlot, shrink=0.8, extend='both')\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax = max(self.colorMapValues[pltIndex][key][-1]))\n self.actcm.draw_all()\n else:\n self.raiseAWarning('contour/filledContour is a 2-D plot, where x,y are the surface coordinates and colorMap vector is the array to visualize!\\n contour3D/filledContour3D are 3-D! ')\n return\n # These should be combined: ^^^ & vvv\n elif self.outStreamTypes[pltIndex] == 'contour3D' or self.outStreamTypes[pltIndex] == 'filledContour3D':\n if self.dim == 2:\n self.raiseAWarning('contour3D/filledContour3D Plot is NOT available for 2D plots, IT IS A 2D! Check \"contour/filledContour\"!')\n return\n else:\n if 'numberBins' in plotSettings:\n nbins = int(plotSettings['numberBins'])\n else:\n nbins = 5\n if 'extend3D' in plotSettings:\n ext3D = bool(plotSettings['extend3D'])\n else:\n ext3D = False\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n # Hopefully, x,y, and z are all the same length, so checking this\n # here should be good enough.\n # The problem is you cannot interpolate any amount of space if\n # you only have a single data point.\n if self.xValues[pltIndex][key][xIndex].size == 1:\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\n continue\n for yIndex in range(len(self.yValues[pltIndex][key])):\n for zIndex in range(len(self.colorMapValues[pltIndex][key])):\n if self.actcm:\n first = False\n else:\n first = True\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\n self.yValues[pltIndex][key][yIndex],\n plotSettings,\n z=self.colorMapValues[pltIndex][key][zIndex],\n returnCoordinate=True)\n if self.outStreamTypes[pltIndex] == 'contour3D':\n if plotSettings['cmap'] == 'None':\n if 'color' in plotSettings.get('attributes', {}):\n color = plotSettings.get('attributes', {})['color']\n else:\n color = 'blue'\n self.actPlot = self.ax.contour3D(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n nbins,\n colors=color,\n extend3d=ext3D,\n **plotSettings.get('attributes', {}))\n else:\n self.actPlot = self.ax.contour3D(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n nbins,\n extend3d=ext3D,\n cmap=matplotlib.cm.get_cmap(name=plotSettings['cmap']),\n **plotSettings.get('attributes', {}))\n else:\n if plotSettings['cmap'] == 'None':\n plotSettings['cmap'] = 'jet'\n self.actPlot = self.ax.contourf3D(xig,\n yig,\n ma.masked_where(np.isnan(Ci), Ci),\n nbins,\n cmap=matplotlib.cm.get_cmap(name=plotSettings['cmap']),\n **plotSettings.get('attributes', {}))\n self.ax.clabel(self.actPlot, inline=1, fontsize=10)\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\n if first:\n self.actcm = self.fig.colorbar(self.actPlot, shrink = 0.8, extend = 'both')\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\n else:\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax = max(self.colorMapValues[pltIndex][key][-1]))\n self.actcm.draw_all()\n ########################\n # DataMining PLOT #\n ########################\n elif self.outStreamTypes[pltIndex] == 'dataMining':\n colors = cycle(['#88CCEE', '#DDCC77', '#AA4499', '#117733', '#332288', '#999933', '#44AA99', '#882255', '#CC6677', '#CD6677', '#DC6877', '#886677', '#AA6677', '#556677', '#CD7865'])\n if 's' not in plotSettings:\n plotSettings['s'] = '20'\n if 'c' not in plotSettings:\n plotSettings['c'] = 'b'\n if 'marker' not in plotSettings:\n plotSettings['marker'] = 'o'\n if 'alpha' not in plotSettings:\n plotSettings['alpha'] = 'None'\n if 'linewidths' not in plotSettings:\n plotSettings['linewidths'] = 'None'\n clusterDict[pltIndex] = {}\n for key in self.xValues[pltIndex]:\n for xIndex in range(len(self.xValues[pltIndex][key])):\n for yIndex in range(len(self.yValues[pltIndex][key])):\n dataMiningPlotOptions = {'s': ast.literal_eval(plotSettings['s']),\n 'marker': (plotSettings['marker']),\n 'alpha': ast.literal_eval(plotSettings['alpha']),\n 'linewidths': ast.literal_eval(plotSettings['linewidths'])}\n if self.colorMapCoordinates[pltIndex] is not None:\n self.raiseAWarning('ColorMap values supplied, however DataMining plots do not use colorMap from input.')\n if plotSettings['cmap'] == 'None':\n self.raiseAWarning('ColorSet supplied, however DataMining plots do not use color set from input.')\n if 'cluster' == plotSettings['SKLtype']:\n # TODO: include the cluster Centers to the plot\n if 'noClusters' in plotSettings.get('attributes', {}):\n clusterDict[pltIndex]['noClusters'] = int(plotSettings.get('attributes', {})['noClusters'])\n plotSettings.get('attributes', {}).pop('noClusters')\n else:\n clusterDict[pltIndex]['noClusters'] = np.amax(self.clusterValues[pltIndex][1][0]) + 1\n dataMiningPlotOptions.update(plotSettings.get('attributes', {}))\n if self.dim == 2:\n clusterDict[pltIndex]['clusterValues'] = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 2))\n else:\n clusterDict[pltIndex]['clusterValues'] = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 3))\n clusterDict[pltIndex]['clusterValues'][:, 0] = self.xValues[pltIndex][key][xIndex]\n clusterDict[pltIndex]['clusterValues'][:, 1] = self.yValues[pltIndex][key][yIndex]\n if self.dim == 2:\n for k, col in zip(range(int(clusterDict[pltIndex]['noClusters'])), colors):\n myMembers = self.clusterValues[pltIndex][1][0] == k\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\n color=col,\n **dataMiningPlotOptions)\n\n # Handle all of the outlying data\n myMembers = self.clusterValues[pltIndex][1][0] == -1\n # resize the points\n dataMiningPlotOptions['s'] /= 2\n # and hollow out their markers\n if 'facecolors' in dataMiningPlotOptions:\n faceColors = dataMiningPlotOptions['facecolors']\n else:\n faceColors = None\n dataMiningPlotOptions['facecolors'] = 'none'\n\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\n color='#000000',\n **dataMiningPlotOptions)\n\n # Restore the plot options to their original values\n dataMiningPlotOptions['s'] *= 2\n if faceColors is not None:\n dataMiningPlotOptions['facecolors'] = faceColors\n else:\n del dataMiningPlotOptions['facecolors']\n\n else:\n for zIndex in range(len(self.zValues[pltIndex][key])):\n clusterDict[pltIndex]['clusterValues'][:, 2] = self.zValues[pltIndex][key][zIndex]\n for k, col in zip(range(int(clusterDict[pltIndex]['noClusters'])), colors):\n myMembers = self.clusterValues[pltIndex][1][0] == k\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\n clusterDict[pltIndex]['clusterValues'][myMembers, 2],\n color=col,\n **dataMiningPlotOptions)\n\n # Handle all of the outlying data\n myMembers = self.clusterValues[pltIndex][1][0] == -1\n # resize the points\n dataMiningPlotOptions['s'] /= 2\n # and hollow out their markers\n if 'facecolors' in dataMiningPlotOptions:\n faceColors = dataMiningPlotOptions['facecolors']\n else:\n faceColors = None\n dataMiningPlotOptions['facecolors'] = 'none'\n\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\n clusterDict[pltIndex]['clusterValues'][myMembers, 2],\n color='#000000',\n **dataMiningPlotOptions)\n\n # Restore the plot options to their original values\n dataMiningPlotOptions['s'] *= 2\n if faceColors is not None:\n dataMiningPlotOptions['facecolors'] = faceColors\n else:\n del dataMiningPlotOptions['facecolors']\n\n elif 'bicluster' == plotSettings['SKLtype']:\n self.raiseAnError(IOError, 'SKLType Bi-Cluster Plots are not implemented yet!..')\n elif 'mixture' == plotSettings['SKLtype']:\n if 'noMixtures' in plotSettings.get('attributes', {}):\n clusterDict[pltIndex]['noMixtures'] = int(plotSettings.get('attributes', {})['noMixtures'])\n plotSettings.get('attributes', {}).pop('noMixtures')\n else:\n clusterDict[pltIndex]['noMixtures'] = np.amax(self.mixtureValues[pltIndex][1][0]) + 1\n if self.dim == 3:\n self.raiseAnError(IOError, 'SKLType Mixture Plots are only available in 2-Dimensions')\n else:\n clusterDict[pltIndex]['mixtureValues'] = np.zeros(shape = (len(self.xValues[pltIndex][key][xIndex]), 2))\n clusterDict[pltIndex]['mixtureValues'][:, 0] = self.xValues[pltIndex][key][xIndex]\n clusterDict[pltIndex]['mixtureValues'][:, 1] = self.yValues[pltIndex][key][yIndex]\n if 'mixtureCovars' in plotSettings.get('attributes', {}):\n split = self.__splitVariableNames('mixtureCovars', (pltIndex, 0))\n # mixtureCovars = self.sourceData[pltIndex].getParam(split[1], split[2], nodeId = 'ending')\n plotSettings.get('attributes', {}).pop('mixtureCovars')\n # else:\n # mixtureCovars = None\n if 'mixtureMeans' in plotSettings.get('attributes', {}):\n split = self.__splitVariableNames('mixtureMeans', (pltIndex, 0))\n # mixtureMeans = self.sourceData[pltIndex].getParam(split[1], split[2], nodeId = 'ending')\n plotSettings.get('attributes', {}).pop('mixtureMeans')\n # else:\n # mixtureMeans = None\n # mixtureCovars.reshape(3, 4)\n # mixtureMeans.reshape(3, 4)\n # for i, (mean, covar, col) in enumerate(zip(mixtureMeans, mixtureCovars, colors)):\n for i, col in zip(range(clusterDict[pltIndex]['noMixtures']), colors):\n if not np.any(self.mixtureValues[pltIndex][1][0] == i):\n continue\n myMembers = self.mixtureValues[pltIndex][1][0] == i\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['mixtureValues'][myMembers, 0],\n clusterDict[pltIndex]['mixtureValues'][myMembers, 1],\n color=col,\n **dataMiningPlotOptions)\n elif 'manifold' == plotSettings['SKLtype']:\n if self.dim == 2:\n manifoldValues = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 2))\n else:\n manifoldValues = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 3))\n manifoldValues[:, 0] = self.xValues[pltIndex][key][xIndex]\n manifoldValues[:, 1] = self.yValues[pltIndex][key][yIndex]\n if 'clusterLabels' in plotSettings.get('attributes', {}):\n split = self.__splitVariableNames('clusterLabels', (pltIndex, 0))\n clusterDict[pltIndex]['clusterLabels'] = self.sourceData[pltIndex].getParam(split[1], split[2], nodeId = 'ending')\n plotSettings.get('attributes', {}).pop('clusterLabels')\n else:\n clusterDict[pltIndex]['clusterLabels'] = None\n if 'noClusters' in plotSettings.get('attributes', {}):\n clusterDict[pltIndex]['noClusters'] = int(plotSettings.get('attributes', {})['noClusters'])\n plotSettings.get('attributes', {}).pop('noClusters')\n else:\n clusterDict[pltIndex]['noClusters'] = np.amax(self.clusterValues[pltIndex][1][0]) + 1\n if self.clusterValues[pltIndex][1][0] is not None:\n if self.dim == 2:\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\n myMembers = self.clusterValues[pltIndex][1][0] == k\n self.actPlot = self.ax.scatter(manifoldValues[myMembers, 0],\n manifoldValues[myMembers, 1],\n color=col,\n **dataMiningPlotOptions)\n else:\n for zIndex in range(len(self.zValues[pltIndex][key])):\n manifoldValues[:, 2] = self.zValues[pltIndex][key][zIndex]\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\n myMembers = self.clusterValues[pltIndex][1][0] == k\n self.actPlot = self.ax.scatter(manifoldValues[myMembers, 0],\n manifoldValues[myMembers, 1],\n manifoldValues[myMembers, 2],\n color=col,\n **dataMiningPlotOptions)\n else:\n if self.dim == 2:\n self.actPlot = self.ax.scatter(manifoldValues[:, 0],\n manifoldValues[:, 1],\n **dataMiningPlotOptions)\n else:\n for zIndex in range(len(self.zValues[pltIndex][key])):\n manifoldValues[:, 2] = self.zValues[pltIndex][key][zIndex]\n self.actPlot = self.ax.scatter(manifoldValues[:, 0],\n manifoldValues[:, 1],\n manifoldValues[:, 2],\n **dataMiningPlotOptions)\n elif 'decomposition' == plotSettings['SKLtype']:\n if self.dim == 2:\n decompositionValues = np.zeros(shape = (len(self.xValues[pltIndex][key][xIndex]), 2))\n else:\n decompositionValues = np.zeros(shape = (len(self.xValues[pltIndex][key][xIndex]), 3))\n decompositionValues[:, 0] = self.xValues[pltIndex][key][xIndex]\n decompositionValues[:, 1] = self.yValues[pltIndex][key][yIndex]\n if 'noClusters' in plotSettings.get('attributes', {}):\n clusterDict[pltIndex]['noClusters'] = int(plotSettings.get('attributes', {})['noClusters'])\n plotSettings.get('attributes', {}).pop('noClusters')\n else:\n clusterDict[pltIndex]['noClusters'] = np.amax(self.clusterValues[pltIndex][1][0]) + 1\n if self.clusterValues[pltIndex][1][0] is not None:\n if self.dim == 2:\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\n myMembers = self.clusterValues[pltIndex][1][0] == k\n self.actPlot = self.ax.scatter(decompositionValues[myMembers, 0],\n decompositionValues[myMembers, 1],\n color=col,\n **dataMiningPlotOptions)\n else:\n for zIndex in range(len(self.zValues[pltIndex][key])):\n decompositionValues[:, 2] = self.zValues[pltIndex][key][zIndex]\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\n myMembers = self.clusterValues[pltIndex][1][0] == k\n self.actPlot = self.ax.scatter(decompositionValues[myMembers, 0],\n decompositionValues[myMembers, 1],\n decompositionValues[myMembers, 2],\n color=col,\n **dataMiningPlotOptions)\n else:\n # no ClusterLabels\n if self.dim == 2:\n self.actPlot = self.ax.scatter(decompositionValues[:, 0],\n decompositionValues[:, 1],\n **dataMiningPlotOptions)\n else:\n for zIndex in range(len(self.zValues[pltIndex][key])):\n decompositionValues[:, 2] = self.zValues[pltIndex][key][zIndex]\n self.actPlot = self.ax.scatter(decompositionValues[:, 0],\n decompositionValues[:, 1],\n decompositionValues[:, 2],\n **dataMiningPlotOptions)\n else:\n # Let's try to \"write\" the code for the plot on the fly\n self.raiseAWarning('Trying to create a non-predefined plot of type ' + self.outStreamTypes[pltIndex] + '. If this fails, please refer to the and/or the related matplotlib method specification.')\n kwargs = {}\n for kk in plotSettings:\n if kk != 'attributes' and kk != self.outStreamTypes[pltIndex]:\n try:\n kwargs[kk] = ast.literal_eval(plotSettings[kk])\n except ValueError:\n kwargs[kk] = plotSettings[kk]\n try:\n if self.dim == 2:\n customFunctionCall = getattr(self.ax, self.outStreamTypes[pltIndex])\n else:\n customFunctionCall = getattr(self.ax, self.outStreamTypes[pltIndex])\n self.actPlot = customFunctionCall(**kwargs)\n except AttributeError as ae:\n self.raiseAnError(RuntimeError, '<' + str(ae) + '> -> in execution custom plot \"' + self.outStreamTypes[pltIndex] + '\" in Plot ' + self.name + '.\\nSTREAM MANAGER: ERROR -> command has been called in the following way: ' + 'ax.' + self.outStreamTypes[pltIndex])\n\n if 'legend' in self.options['plotSettings']:\n self.fig.legend(**self.options['plotSettings']['legend'])\n\n # SHOW THE PICTURE\n self.__executeActions()\n self.fig.canvas.draw_idle()\n\n if 'screen' in self.destinations and display:\n def handle_close(event):\n \"\"\"\n This method is aimed to handle the closing of figures (overall when in interactive mode)\n @ In, event, instance, the event to close\n @ Out, None\n \"\"\"\n self.fig.canvas.stop_event_loop()\n self.raiseAMessage('Closed Figure')\n self.fig.canvas.mpl_connect('close_event', handle_close)\n # self.plt.pause(1e-6)\n # The following code is extracted from pyplot.pause without actually\n # needing to force the code to sleep, according to MPL's documentation,\n # this feature is experimental, hopefully by not calling the pause\n # function, we can obtain consistent results.\n # We are skipping a few of the sanity checks done in that function,\n # since we are sure we have an interactive backend and access to the\n # correct type of canvas and figure.\n self.fig.canvas.draw()\n # If your graphs are unresponsive to user input, you may want to consider\n # adjusting this timeout, to allow more time for the input to be handled.\n self.fig.canvas.start_event_loop(1e-3)\n\n # self.fig.canvas.flush_events()\n\n for fileType in self.destinations:\n if fileType == 'screen':\n continue\n\n if not self.overwrite:\n prefix = str(self.counter) + '-'\n else:\n prefix = ''\n\n if len(self.filename) > 0:\n name = self.filename\n else:\n name = prefix + self.name + '_' + str(self.outStreamTypes).replace(\"'\", \"\").replace(\"[\", \"\").replace(\"]\", \"\").replace(\",\", \"-\").replace(\" \", \"\")\n\n if self.subDirectory is not None:\n name = os.path.join(self.subDirectory,name)\n\n self.fig.savefig(name + '.' + fileType, format=fileType)\n\n if 'screen' not in self.destinations:\n plt.close(fig=self.fig)\n\n gc.collect()","def plot():\n pass","def generate_plot(chart: Chart) -> Figure:\n factory = ChartFactory(recipes=ChartService.get_supported_recipes(),\n data_frame_service=CommonServiceProvider.DataFrameService)\n plot = factory.create_object(document=chart)\n\n return plot","def plot(self, *args, **kwargs):\r\n if ('kind' in kwargs and \\\r\n kwargs['kind'] == 'map') or \\\r\n (len(args) > 3 and args[3] == 'map'):\r\n from arcgis.features._data.geodataset.viz import plot\r\n has_wm = True\r\n wm = kwargs.pop('map_widget', None)\r\n if wm is None:\r\n has_wm = False\r\n wm = GIS().map()\r\n if has_wm:\r\n plot(df=self,\r\n map_widget=wm,\r\n name=kwargs.pop('name', \"Feature Collection Layer\"),\r\n renderer_type=kwargs.pop(\"renderer_type\", None),\r\n symbol_type=kwargs.pop('symbol_type', None),\r\n symbol_style=kwargs.pop('symbol_style', None),\r\n col=kwargs.pop('col', None),\r\n colors=kwargs.pop('cmap', None) or kwargs.pop('colors', None) or kwargs.pop('pallette', 'jet'),\r\n alpha=kwargs.pop('alpha', 1),\r\n **kwargs)\r\n return True\r\n else:\r\n return plot(df=self,\r\n map_widget=wm,\r\n name=kwargs.pop('name', \"Feature Collection Layer\"),\r\n renderer_type=kwargs.pop(\"renderer_type\", None),\r\n symbol_type=kwargs.pop('symbol_type', None),\r\n symbol_style=kwargs.pop('symbol_style', None),\r\n col=kwargs.pop('col', None),\r\n colors=kwargs.pop('cmap', None) or kwargs.pop('colors', None) or kwargs.pop('pallette', 'jet'),\r\n alpha=kwargs.pop('alpha', 1),\r\n **kwargs)\r\n if ('kind' in kwargs and \\\r\n kwargs['kind'] == 'map') or \\\r\n (len(args) > 3 and args[3] == 'map') and \\\r\n ('as_graphic' in kwargs and kwargs['as_graphic']):\r\n from arcgis.features import FeatureCollection, FeatureSet\r\n from arcgis import geometry\r\n if self._gis is None:\r\n gis = GIS(set_active=False)\r\n else:\r\n gis = self._gis\r\n if self.sr:\r\n sr = self.sr\r\n else:\r\n sr = self.sr\r\n extent = None\r\n if HASARCPY:\r\n if sr:\r\n wkid = None\r\n if hasattr(sr, 'factoryCode'):\r\n wkid = {'wkid' : sr.factoryCode}\r\n elif isinstance(sr, geometry.SpatialReference):\r\n wkid = self.sr\r\n ext = self.geoextent\r\n extent = {\r\n \"xmin\" : ext[0],\r\n \"ymin\" : ext[1],\r\n \"xmax\" : ext[2],\r\n \"ymax\" : ext[3],\r\n \"spatialReference\" : wkid\r\n }\r\n else:\r\n ext = self.geoextent\r\n extent = {\r\n \"xmin\" : ext[0],\r\n \"ymin\" : ext[1],\r\n \"xmax\" : ext[2],\r\n \"ymax\" : ext[3],\r\n \"spatialReference\" : {'wkid' : 4326}\r\n }\r\n else:\r\n sr = self.sr\r\n if self.sr is None:\r\n sr = {'wkid' : 4326}\r\n\r\n ext = self.geoextent\r\n extent = {\r\n \"xmin\" : ext[0],\r\n \"ymin\" : ext[1],\r\n \"xmax\" : ext[2],\r\n \"ymax\" : ext[3],\r\n \"spatialReference\" : sr\r\n }\r\n if 'map_widget' not in kwargs:\r\n raise Exception(\"map_widget is required to plot the SpatialDataFrame\")\r\n else:\r\n m = kwargs.pop('map_widget')\r\n symbol = kwargs.pop('symbol', None)\r\n popup = kwargs.pop('popup', None)\r\n try:\r\n fs = FeatureSet.from_dict(self.__feature_set__)\r\n m.draw(fs, symbol=symbol, popup=popup)\r\n if extent and \\\r\n isinstance(extent, dict):\r\n m.extent = extent\r\n except:\r\n raise Exception('Could not plot the Spatial DataFrame.')\r\n else:\r\n return super(SpatialDataFrame, self).plot(*args, **kwargs)","def __init__(self, parent_frame, plt_props=None):\n tk.Frame.__init__(self, master=parent_frame)\n if self.matplotlib_ready():\n \"\"\" the import statements are scoped so make new ones\"\"\"\n import matplotlib\n import matplotlib.pyplot as plt\n from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg\n\n\n self.figure_bed = plt.figure(figsize=(7, 3.5))\n self.axis = self.figure_bed.add_subplot(111)\n\n if plt_props:\n for key, value in plt_props.iteritems():\n eval(\"plt.\" + key + \"(\" + value + \")\")\n # self.axis.set_axis_bgcolor('red')\n self.figure_bed.set_facecolor('white')\n self.canvas = FigureCanvasTkAgg(self.figure_bed, master=self)\n self.canvas._tkcanvas.config(highlightthickness=0)\n self.canvas.draw()\n self.canvas.get_tk_widget().pack(side='top')\n\n # self.make_matplotlib_area(parent, plt_props)\n self.embed_matplotlib()\n self.type = 'matplotlib'\n # TODO ADD TO THIS\n else:\n graph = tk.Canvas(master=self)\n graph.pack(side='left', expand=True, fill=tk.BOTH)\n self.type = 'canvas'","def graph_obj(self):\r\n vizEngine = get_vizEngine().lower().strip()\r\n obj = None\r\n if self.levels > 0 and vizEngine=='bokeh':\r\n warnings.warn('Please switch the vizEngine to \"plotly\" to create contour plots.', UserWarning)\r\n if self.surface3D and vizEngine!='plotly':\r\n warnings.warn('Please switch the vizEngine to \"plotly\" to create 3D surface plots.', UserWarning)\r\n\r\n if vizEngine == 'bokeh':\r\n obj = MapBokeh(self.data, self.variable, self.levels, self.surface3D)\r\n elif vizEngine == 'plotly':\r\n obj = MapPlotly(self.data, self.variable, self.levels, self.surface3D)\r\n return obj","def plot_refresh():\n figure.canvas.draw()","def plot(self):\n fig = go.Figure()\n for traj in self.data:\n fig.add_trace(\n go.Scatter(\n x=traj.age,\n y=traj.AF\n )\n )\n fig.update_layout(title=self.id)\n return fig","def plotly_spectrum(spectrum, savefig=False):\n\n # Open the best_fit_components file\n with fits.open(spectrum.par.output_dir + '/' + spectrum.par.obj + '.agnspec_components.fits') as hdul:\n t = hdul[1].data # FITS table data is stored on FITS extension 1\n # cols = [i.name for i in t.columns]\n\n # Create a figure with subplots\n fig = make_subplots(rows=2, cols=1, row_heights=(3, 1), vertical_spacing=0.05)\n\n # ax1: Data & Model\n tracename = \"Data\"\n fig.add_trace(go.Scatter(x=t[\"wvl\"], y=t[\"data\"], mode=\"lines\",\n line_shape='hvh',\n line=go.scatter.Line(color=\"black\", width=1.5), name=tracename, legendrank=1,\n showlegend=True), row=1, col=1)\n tracename = \"Model\"\n fig.add_trace(go.Scatter(x=t[\"wvl\"], y=t[\"eline_model\"] + t[\"powerlaw\"], mode=\"lines\",\n line=go.scatter.Line(color=\"red\", width=1),\n name=tracename, legendrank=2, showlegend=True), row=1, col=1)\n tracename = \"Power-law\"\n fig.add_trace(go.Scatter(x=t[\"wvl\"], y=t[\"powerlaw\"], mode=\"lines\",\n line=go.scatter.Line(color=\"red\", width=1, dash=\"dash\"), name=tracename,\n legendrank=3, showlegend=True), row=1, col=1)\n\n # component colors: pick equidistant colors from colormap (excluding the start/end)\n cmap = mpl.cm.get_cmap('gist_earth')\n n = len(spectrum.components)\n colors = [mpl.colors.to_hex(cmap((idx + .5) / n)) for idx in range(n)]\n\n # plot individual emission line components\n for idx, component in enumerate(spectrum.components):\n for eline in spectrum.components[component]:\n fig.add_trace(go.Scatter(x=t[\"wvl\"], y=t[eline], mode=\"lines\",\n line=go.scatter.Line(color=colors[idx], width=1.5), name=eline.split('_')[0],\n legendgroup=component, legendgrouptitle_text=component, legendrank=11 + idx\n ),\n\n row=1, col=1)\n\n fig.add_hline(y=0.0, line=dict(color=\"gray\", width=2), row=1, col=1)\n\n # ax2: residuals\n bestfit = t[\"eline_model\"] + t['powerlaw']\n residuals = (t['data'] - bestfit) / t['error']\n\n fig.add_trace(go.Scatter(x=t[\"wvl\"], y=residuals, mode=\"lines\",\n line=go.scatter.Line(color=\"#FE00CE\", width=1), name=\"Residuals\",\n showlegend=True, legendrank=100,\n legendgroup='res', legendgrouptitle_text=' '),\n row=2, col=1)\n\n # Figure layout, size, margins\n fig.update_layout(autosize=False,\n width=1700,\n height=800,\n margin=dict(l=100, r=100, b=100, t=100, pad=1),\n # title='None',\n font_family=\"Times New Roman\",\n font_size=16,\n # font_color=\"white\",\n # legend_title_text=\"Components\",\n # legend_bgcolor=\"black\",\n # paper_bgcolor=\"black\",\n # plot_bgcolor=\"black\",\n )\n\n # Update x-axis properties\n fig.update_xaxes( # title=r\"$\\Large\\lambda_{\\rm{rest}}\\;\\left[Å\\right]$\",\n showticklabels=False,\n linewidth=0.5, linecolor=\"gray\", mirror=True,\n gridwidth=1, gridcolor=\"#222A2A\", zerolinewidth=2, zerolinecolor=\"#222A2A\",\n row=1, col=1)\n fig.update_xaxes(title=r\"$\\Large\\lambda_{\\rm{rest}}\\;\\left[Å\\right]$\", linewidth=0.5, linecolor=\"gray\", mirror=True,\n gridwidth=1, gridcolor=\"#222A2A\", zerolinewidth=2, zerolinecolor=\"#222A2A\",\n row=2, col=1)\n # Update y-axis properties\n fig.update_yaxes(title=r\"$\\Large f_\\lambda\\;\\left[\\rm{erg}\\;\\rm{cm}^{-2}\\;\\rm{s}^{-1}\\;Å^{-1}\\right]$\",\n linewidth=0.5, linecolor=\"gray\", mirror=True,\n gridwidth=1, gridcolor=\"#222A2A\", zerolinewidth=2, zerolinecolor=\"#222A2A\",\n row=1, col=1)\n fig.update_yaxes(title=r\"$\\Large\\Delta f_\\lambda / f_\\lambda ^{err}$\", linewidth=0.5, linecolor=\"gray\", mirror=True,\n gridwidth=1, gridcolor=\"#222A2A\", zerolinewidth=2, zerolinecolor=\"#222A2A\",\n # range=[-8, 8],\n row=2, col=1)\n\n fig.update_xaxes(matches='x')\n # fig.update_yaxes(matches='y')\n\n fig.show()\n\n # write to figure to output directory\n if savefig:\n fig.write_html(spectrum.par.output_dir + '/' + spectrum.par.obj + '.agnspec_model.html', include_mathjax=\"cdn\")\n #fig.write_image(\"Output/AGNspec_model.pdf\")","def _figure_2():\n\n dataset_id = 3\n pkl_file = _pkl_file_path(dataset_id)\n with open(pkl_file, 'rb') as f:\n data = pickle.load(f)\n\n cdata = data[:, 0]\n seconds = np.arange(data.shape[0]) * 1. / 250\n\n plt.xlim(right=seconds[-1])\n plt.plot(seconds, cdata, color='black', linestyle=':')\n plt.ticklabel_format(useOffset=False)\n plt.xlabel('Second')\n plt.ylabel('Microstrain')\n plt.savefig('Figure2.png', dpi=300)\n plt.gcf().clear()","def to_figure(self, structure):\n if not self.bypass:\n if self.format is \"show\":\n plt.show()\n elif self.format is \"png\":\n plt.savefig(self.path + self.filename + \".png\", bbox_inches=\"tight\")\n elif self.format is \"fits\":\n if structure is not None:\n structure.output_to_fits(\n file_path=self.path + self.filename + \".fits\", overwrite=True\n )","def __init__(self, subplot_class, *args, **kwargs):\n import pylab\n self.fig = pylab.figure(*args, **kwargs)\n self.subplot_class = subplot_class","def plot_to_image(figure):\n # Save the plot to a PNG in memory.\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n # Closing the figure prevents it from being displayed directly inside\n # the notebook.\n# plt.close(figure)\n buf.seek(0)\n # Convert PNG buffer to TF image\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n # Add the batch dimension\n image = tf.expand_dims(image, 0)\n return image","def _InitAxes( self ):\n self.ax = self.fig.add_subplot( 111 )","def to_image(fig):\n fig.tight_layout(pad=1)\n fig.canvas.draw()\n image_from_plot = np.frombuffer(fig.canvas.tostring_rgb(), dtype=np.uint8)\n image_from_plot = image_from_plot.reshape(\n fig.canvas.get_width_height()[::-1] + (3,))\n return image_from_plot","def save(self, _=None, filename=\"SME.html\", **kwargs):\n # Here we \"hack\" plotly to use base64 encoded data\n # since we have a lot of data to look at\n # this reduces the file size by about a factor 3\n # zipping it would provide another factor 2\n if filename.endswith(\".html\"):\n self.fig.layout.dragmode = \"zoom\"\n fig = self.fig.to_plotly_json()\n # Convert the data to base64\n for i in range(len(fig[\"data\"])):\n for ax in [\"x\", \"y\"]:\n data = np.asarray(fig[\"data\"][i][ax]).astype(\"float32\")\n b64data = b64encode(data).decode(\"utf8\")\n fig[\"data\"][i][ax] = {\"data\": b64data, \"dtype\": \"float32\"}\n\n data = json.dumps(fig[\"data\"])\n layout = json.dumps(fig[\"layout\"])\n # This is the entire html as generated by self.fig.to_html\n # except we replace the data and layout manually\n # and transform it from base64 to TypedArrays\n html = (\n r\"\"\"<html><head><meta charset=\"utf-8\" /></head><body><div>\"\"\"\n r\"\"\"<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\"\"\"\n r\"\"\"<script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script>\"\"\"\n r\"\"\"<div id=\"56dedbe2-a786-4b0b-8232-b68dfd7b9eb5\" class=\"plotly-graph-div\" style=\"height:100%; width:100%;\"></div>\"\"\"\n r\"\"\"<script type=\"text/javascript\">\"\"\"\n r\"\"\"window.PLOTLYENV=window.PLOTLYENV || {};\"\"\"\n r\"\"\"if (document.getElementById(\"56dedbe2-a786-4b0b-8232-b68dfd7b9eb5\")) {\"\"\"\n f\"data = {data};\"\n f\"layout = {layout};\"\n r\"\"\"const FromBase64 = function (str) {return new Uint8Array(atob(str).split('').map(function (c) { return c.charCodeAt(0); }));};\"\"\"\n r\"\"\"for (let i = 0; i < data.length; i++){\"\"\"\n r\"\"\"let data_x = data[i].x.data;\"\"\"\n r\"\"\"let data_y = data[i].y.data;\"\"\"\n r\"\"\"data[i].x = new Float32Array(FromBase64(data_x).buffer);\"\"\"\n r\"\"\"data[i].y = new Float32Array(FromBase64(data_y).buffer);\"\"\"\n r\"\"\"}\"\"\"\n r\"\"\"Plotly.newPlot(\"56dedbe2-a786-4b0b-8232-b68dfd7b9eb5\", data, layout, {\"responsive\": true})};\"\"\"\n r\"\"\"</script></div></body></html>\"\"\"\n )\n # Finally try to minimize if possible\n if htmlmin is not None:\n html = htmlmin.minify(html, remove_empty_space=True)\n with open(filename, \"w\") as f:\n f.write(html)\n\n else:\n write_image(self.fig, filename)","def plot_to_image(figure):\n # Save the plot to a PNG in memory.\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n # Closing the figure prevents it from being displayed directly inside\n # the notebook.\n plt.close(figure)\n buf.seek(0)\n # Convert PNG buffer to TF image\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n # Add the batch dimension\n image = tf.expand_dims(image, 0)\n return image","def plot_to_image(figure):\n # Save the plot to a PNG in memory.\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n # Closing the figure prevents it from being displayed directly inside\n # the notebook.\n plt.close(figure)\n buf.seek(0)\n # Convert PNG buffer to TF image\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n # Add the batch dimension\n image = tf.expand_dims(image, 0)\n return image","def __init__(self):\n self.figure = plt.figure()\n FigureCanvas.__init__(self, self.figure)\n self.figure.patch.set_facecolor('blue')\n self.figure.patch.set_alpha(0.0)\n self.pv_monitor = controls.PvMonitors.get_instance()","def buildPlot(self):\r\n style.use('fivethirtyeight')\r\n self.fig = plt.figure()\r\n self.ax1 = self.fig.add_subplot(1,1,1)\r\n self.ax1.clear()\r\n self.ax1.plot(self.inputValInt,self.inputValInt1)","def static_fig(fig, figsize=(7, 7), scale=3, ax=None):\n\n i = fig.to_image(format='png', scale=scale)\n i = io.BytesIO(i)\n i = mpimg.imread(i, format='png')\n\n if ax is None:\n sns.set(style='white')\n plt.figure(figsize=figsize)\n plt.imshow(i)\n plt.axis('off')\n ax = plt.gca()\n else:\n ax.imshow(i)\n\n return ax","def __call__(self, pipe):\n self.pipe = pipe\n self.fig = plt.figure(tight_layout=True)\n self.gs = gridspec.GridSpec(2, 2)\n self.ax1 = self.fig.add_subplot(self.gs[0, 0])\n self.ax2 = self.fig.add_subplot(self.gs[1, 0])\n self.ax3 = self.fig.add_subplot(self.gs[:, 1])\n self.ax1.set_xlabel(\"Time\")\n self.ax1.set_ylabel(\"Fitness\")\n self.ax2.set_xlabel(\"Time\")\n self.ax2.set_ylabel(\"Standard deviation\")\n self.ax3.set_xlabel(\"Best path\")\n orange_patch = mpatches.Patch(color='tab:orange', label='Best fitness')\n blue_patch = mpatches.Patch(color='tab:blue', label='Mean fitness')\n pink_patch = mpatches.Patch(color='tab:pink', label='Std. dev.')\n self.ax1.legend(handles=[orange_patch, blue_patch])\n self.ax2.legend(handles=[pink_patch])\n timer = self.fig.canvas.new_timer(interval=5)\n timer.add_callback(self.call_back)\n timer.start()\n plt.show()","def update_figure(self):\n\n self.draw()","def init_plot(self):\n self.dpi = 100\n self.fig = Figure((5.0, 5.0), dpi = self.dpi)\n\n self.main_plot = self.fig.add_subplot(111)\n self.main_plot.set_axis_bgcolor('black')\n self.main_plot.set_title('Dynamic venous flow view', size = 12)\n\n pylab.setp(self.main_plot.get_xticklabels(), fontsize = 8)\n pylab.setp(self.main_plot.get_yticklabels(), fontsize = 8)\n\n # Plot the data as a green line\n self.plot_data = self.main_plot.plot(\n self.daq.data0,\n linewidth = 1,\n color = (0, 1, 0),\n )[0]\n self.main_plot.grid(True, color='gray')","def __init__(self):\n self.fig = pl.figure(1,figsize=(8,6), dpi=80 , frameon = True , facecolor = '0.75' , edgecolor = 'w')\n self.fig.add_subplot(111 , axisbg = 'w' , projection = 'rectilinear') #if you want to add axes on particular place: fig.add_axes([0.15, 0.1, 0.7, 0.3]) where -> [begin , bottom to start axes , width , height ]\n self.separated = True #if we have a list and need to plot the plots separated","def makeFigure():\n # Get list of axis objects\n ax, f = getSetup((7, 3), (1, 2))\n rep = 10\n\n comps = np.arange(1, 11)\n\n try:\n chords_df = pd.read_csv('syserol/data/fig3_chords_df.csv')\n except FileNotFoundError:\n print(\"Building chords...\")\n # Imputing chords dataframe\n chords_df = pd.concat([pd.DataFrame({'Components': comps, 'R2X': evaluate_missing(comps, 15, chords=True)[0]})\n for _ in range(rep)], axis=0)\n chords_df.to_csv('syserol/data/fig3_chords_df.csv', index=False)\n chords_df = chords_df.groupby('Components').agg({'R2X': ['mean', 'sem']})\n\n try:\n single_df = pd.read_csv('syserol/data/fig3_single_df.csv')\n except FileNotFoundError:\n print(\"Building singles...\")\n # Single imputations dataframe\n single_df = pd.concat([pd.DataFrame(np.vstack((evaluate_missing(comps, 15, chords=False)[0:2], comps)).T,\n columns=['CMTF', 'PCA', 'Components']) for _ in range(rep)], axis=0)\n single_df.to_csv('syserol/data/fig3_single_df.csv', index=False)\n single_df = single_df.groupby(['Components']).agg(['mean', 'sem'])\n\n Q2Xchord = chords_df['R2X']['mean']\n Q2Xerrors = chords_df['R2X']['sem']\n ax[0].scatter(comps, Q2Xchord, s=10)\n ax[0].errorbar(comps, Q2Xchord, yerr=Q2Xerrors, fmt='none')\n ax[0].set_ylabel(\"Q2X of Imputation\")\n ax[0].set_xlabel(\"Number of Components\")\n ax[0].set_xticks([x for x in comps])\n ax[0].set_xticklabels([x for x in comps])\n ax[0].set_ylim(0, 1)\n\n CMTFR2X = single_df['CMTF']['mean']\n CMTFErr = single_df['CMTF']['sem']\n PCAR2X = single_df['PCA']['mean']\n PCAErr = single_df['PCA']['sem']\n ax[1].plot(comps - 0.1, CMTFR2X, \".\", label=\"CMTF\")\n ax[1].plot(comps + 0.1, PCAR2X, \".\", label=\"PCA\")\n ax[1].errorbar(comps - 0.1, CMTFR2X, yerr=CMTFErr, fmt='none', ecolor='b')\n ax[1].errorbar(comps + 0.1, PCAR2X, yerr=PCAErr, fmt='none', ecolor='darkorange')\n ax[1].set_ylabel(\"Q2X of Imputation\")\n ax[1].set_xlabel(\"Number of Components\")\n ax[1].set_xticks([x for x in comps])\n ax[1].set_xticklabels([x for x in comps])\n ax[1].set_ylim(0, 1)\n ax[1].legend(loc=4)\n\n # Add subplot labels\n subplotLabel(ax)\n\n return f","def get_fig(fig=None, ax=None, figsize=[4, 4]):\n if not fig:\n fig = plt.figure(figsize=figsize)\n if not ax:\n ax = plt.gca()\n return fig, ax","def setfig(fig=None,**kwargs):\n if fig:\n plt.figure(fig,**kwargs)\n plt.clf()\n elif fig==0:\n pass\n else:\n plt.figure(**kwargs)","def get_plot(self):\n # Load the data from the file\n plot_title = \"Bottom Track Range\"\n\n fig, data = self.plotly_bt_range.get_plot()\n\n # Create a Header\n st.subheader(plot_title)\n\n # Display a table of the data\n st.write(data)\n\n # Create a streamlit plot\n st.plotly_chart(fig)","def _plot_setup(self, fig, ax):\n\n self._check_data_valid()\n\n if ax:\n self.fig = fig\n self.ax = ax\n else:\n self.fig = plt.figure()\n self.ax = self.fig.add_subplot(111, projection=self.wcs)\n\n # Set basic figure display options\n if self.options.get('grid', True):\n self.ax.coords.grid(color='white', alpha=0.5)\n\n if self.options.get('title', True):\n title = self.options.get('title', self.surveyname)\n self.ax.set_title(title, fontdict={'fontsize': 20, 'fontweight': 10})\n\n self.set_xlabel('RA (J2000)')\n self.set_ylabel('Dec (J2000)')\n\n # Set compact or extended label / tick configuration\n if self.options.get('compact', False):\n tickcolor = 'k' if np.nanmax(np.abs(self.data)) == np.nanmax(self.data) else 'gray'\n\n lon = self.ax.coords[0]\n lat = self.ax.coords[1]\n\n lon.display_minor_ticks(True)\n lat.display_minor_ticks(True)\n\n lon.set_ticks(number=5)\n lat.set_ticks(number=5)\n\n self.ax.tick_params(axis='both', direction='in', length=5, color=tickcolor)\n self.padlevel = self.options.get('ylabelpad', 5)\n\n # Set colourmap normalisation\n self.norm = self._get_cmap_normalisation()","def create_figure_new(self):\n kw = {}\n self.p = figure(plot_height=400, plot_width=400, tools='pan,wheel_zoom,box_zoom,reset,hover', **kw)\n self.p.circle(x=[0],y=[0])","def render(self):\r\n super().render()\r\n layers, titles, lat, lon = self.make_layers()\r\n plots = []\r\n for i in range(len(layers)):\r\n p = figure(\r\n tools=self.tools, \r\n toolbar_location=self.toolbarLocation, \r\n plot_width=self.width, \r\n plot_height=self.height,\r\n x_range=(np.min(lon), np.max(lon)),\r\n y_range=(np.min(lat), np.max(lat)),\r\n title=titles[i]\r\n )\r\n p.xaxis.axis_label = self.xlabel\r\n p.yaxis.axis_label = self.ylabel\r\n colorMapper = LinearColorMapper(palette=self.cmap, low=self.vmin, high=self.vmax)\r\n p.image(\r\n image=[layers[i]], \r\n color_mapper=colorMapper, \r\n x=np.min(lon), \r\n y=np.min(lat), \r\n dw=np.max(lon)-np.min(lon), \r\n dh=np.max(lat)-np.min(lat)\r\n )\r\n\r\n p.add_tools(HoverTool(\r\n tooltips=[\r\n ('longitude', '$x'),\r\n ('latitude', '$y'),\r\n (self.variable + self.unit, '@image'),\r\n ],\r\n mode='mouse'\r\n )\r\n )\r\n\r\n colorBar = ColorBar(\r\n color_mapper=colorMapper, \r\n ticker=BasicTicker(),\r\n label_standoff=12, \r\n border_line_color=None, \r\n location=(0,0)\r\n )\r\n\r\n p.add_layout(colorBar, 'right')\r\n plots.append(p)\r\n \r\n \r\n if not inline(): output_file(get_figure_dir() + self.variable + \".html\", title=self.variable) \r\n show(column(plots))","def make_fig(self, graph_setting):\n \n #Initialize Figure\n fig, ax1 = plt.subplots(figsize=(0.55*self.inch_width, 0.3*self.inch_height), dpi=0.75*self.dpi) # these settings work on Shea's smaller monitor\n \n #Retrieve SD Object based on name\n SDob = self.SD_Map.retrieve_ob(graph_setting)\n \n #Pull and format the values of the SD Object\n plotval = []\n if type(SDob.values) is list:\n plotval.extend(SDob.values)\n else:\n plotval.append(SDob.values)\n if True in [True if not x else False for x in plotval]:\n plotval[:] = [x if x or x == 0 else np.nan for x in plotval]\n \n #Pull and format the history of the SD Object\n #Note: If tuning==0, this will initially be the same as plotval just above\n histTime = list(range(0,len(SDob.history)))\n histval = []\n histval.extend(SDob.history)\n if True in [True if not x else False for x in histval]:\n histval[:] = [x if x or x == 0 else np.nan for x in histval]\n \n #Identify color to use for plotting based on SD object's category\n normvalue = self.norm(self.CatColorDict[SDob.category])\n fill1 = np.array([self.colormap(normvalue)[0:3]])\n\n #Generate scatterplot\n if self.tuning_flag == 1:\n ax1.scatter(self.timeSeries, plotval, c=fill1, marker=\"s\", label = self.translate('Simulation'))\n ax1.scatter(histTime, histval, edgecolors=fill1, marker=\"o\", label = self.translate('History'), facecolors='none')\n else:\n ax1.scatter(histTime, histval, edgecolors=fill1, marker=\"o\", label = self.translate('History'), facecolors='none')\n if len(self.timeSeries) > len(histTime):\n ax1.scatter(self.timeSeries[len(histTime):], plotval[len(histTime):], c=fill1, marker=\"s\", label = self.translate('Simulation'))\n\n #check if object has preset visualization parameters\n if SDob.vismin:\n vismin = min(SDob.vismin, 0.8*np.nanmin(plotval), 0.8*np.nanmin(histval))\n \n # check if it is better visualize values with a small range that is far from zero\n elif (np.nanmax(histval) - np.nanmin(histval)) < 0.5*(np.nanmin(histval)):\n vismin = min(0.8*np.nanmin(plotval), 0.8*np.nanmin(histval))\n else:\n vismin = min(0, np.nanmin(plotval), np.nanmin(histval))\n \n #check if object has preset visualization parameters\n if SDob.vismax:\n vismax = max(SDob.vismax, 1.2*np.nanmax(plotval), 1.2*np.nanmax(histval))\n \n # check if it is better visualize values with a small range that is far from zero\n elif np.nanmax(histval) == np.nanmin(histval):\n vismax = max(np.nanmax(plotval), np.nanmax(histval)) + 1\n\n else:\n vismax = 1.2*max(np.nanmax(plotval), np.nanmax(histval))\n \n #set figure axes\n ax1.legend(loc='upper right')\n ax1.set_ylim(vismin, vismax)\n endtime = max(self.timeSeries[-1], 200)\n ax1.set_xlim(0, endtime)\n ax1.set_ylabel(self.translate(SDob.units))\n ax1.set_xlabel(self.translate('Days'))\n fig.tight_layout()\n \n return fig","def plot_to_image(figure):\n # Save the plot to a PNG in memory.\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n # Closing the figure prevents it from being displayed directly inside the notebook.\n plt.close(figure)\n buf.seek(0)\n # Convert PNG buffer to TF image\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n # Add the batch dimension\n image = tf.expand_dims(image, 0)\n return image","def plot_to_image(figure):\n\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n plt.close(figure)\n buf.seek(0)\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n image = tf.expand_dims(image, 0)\n\n return image","def plot_to_image(figure):\n # Save the plot to a PNG in memory.\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n # Closing the figure prevents it from being displayed directly inside\n # the notebook.\n plt.close(figure)\n buf.seek(0)\n # Convert PNG buffer to TF image\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n # Add the batch dimension\n image = tf.expand_dims(image, 0)\n return image","def plot_to_image(figure):\n # Save the plot to a PNG in memory.\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n # Closing the figure prevents it from being displayed directly inside\n # the notebook.\n plt.close(figure)\n buf.seek(0)\n # Convert PNG buffer to TF image\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n # Add the batch dimension\n image = tf.expand_dims(image, 0)\n return image","def plot_to_image(figure):\n # Save the plot to a PNG in memory.\n buf = io.BytesIO()\n plt.savefig(buf, format='png')\n # Closing the figure prevents it from being displayed directly inside\n # the notebook.\n plt.close(figure)\n buf.seek(0)\n # Convert PNG buffer to TF image\n image = tf.image.decode_png(buf.getvalue(), channels=4)\n # Add the batch dimension\n image = tf.expand_dims(image, 0)\n return image","def define_figure(width, height, dataframe, hover, itype):\n\n # Mapper colors\n # I left here the ones just in case\n colors_auld = ['#800000', '#860000', '#8c0000', '#930000', '#990000', '#9f0000', '#a60000', '#ac0000', '#b20000', '#b90000', '#bf0000', '#c50000', '#cc0000', '#d20000', '#d80000', '#df0000', '#e50000', '#eb0000', '#f20000', '#f80000', '#ff0000', '#ff0700', '#ff0e00', '#ff1500', '#ff1c00', '#ff2300', '#ff2a00', '#ff3100', '#ff3800', '#ff3f00', '#ff4600', '#ff4d00', '#ff5400', '#ff5b00', '#ff6200', '#ff6900', '#ff7000', '#ff7700', '#ff7e00', '#ff8500', '#ff8c00', '#ff9100', '#ff9700', '#ff9d00', '#ffa300', '#ffa800', '#ffae00', '#ffb400', '#ffba00', '#ffbf00', '#ffc500', '#ffcb00', '#ffd100', '#ffd600', '#ffdc00', '#ffe200', '#ffe800', '#ffed00', '#fff300', '#fff900', '#ffff00', '#f2ff00', '#e5ff00', '#d8ff00', '#ccff00', '#bfff00', '#b2ff00', '#a5ff00', '#99ff00', '#8cff00', '#7fff00', '#72ff00', '#66ff00', '#59ff00', '#4cff00', '#3fff00', '#33ff00', '#26ff00', '#19ff00', '#0cff00', '#00ff00', '#0afc0a', '#15fa15', '#1ff81f', '#2af62a', '#34f434', '#3ff13f', '#49ef49', '#54ed54', '#5eeb5e', '#69e969', '#74e674', '#7ee47e', '#89e289', '#93e093', '#9ede9e', '#a8dba8', '#b3d9b3', '#bdd7bd', '#c8d5c8', '#d3d3d3']\n colors_ylorrd = ['#800026', '#850026', '#8a0026', '#8f0026', '#940026', '#990026', '#9e0026', '#a30026', '#a80026', '#ad0026', '#b20026', '#b70026', '#bd0026', '#c00225', '#c30424', '#c60623', '#c90822', '#cc0a21', '#d00d21', '#d30f20', '#d6111f', '#d9131e', '#dc151d', '#df171c', '#e31a1c', '#e51e1d', '#e7221e', '#e9271f', '#eb2b20', '#ed2f21', '#ef3423', '#f13824', '#f33c25', '#f54126', '#f74527', '#f94928', '#fc4e2a', '#fc532b', '#fc582d', '#fc5d2e', '#fc6330', '#fc6831', '#fc6d33', '#fc7234', '#fc7836', '#fc7d37', '#fc8239', '#fc873a', '#fd8d3c', '#fd903d', '#fd933e', '#fd9640', '#fd9941', '#fd9c42', '#fd9f44', '#fda245', '#fda546', '#fda848', '#fdab49', '#fdae4a', '#feb24c', '#feb54f', '#feb853', '#febb56', '#febf5a', '#fec25d', '#fec561', '#fec864', '#fecc68', '#fecf6b', '#fed26f', '#fed572', '#fed976', '#feda79', '#fedc7d', '#fede80', '#fedf84', '#fee187', '#fee38b', '#fee48e', '#fee692', '#fee895', '#fee999', '#feeb9c', '#ffeda0', '#ffeea3', '#fff0a7', '#fff1ab', '#fff3ae', '#fff4b2', '#fff6b6', '#fff7b9', '#fff9bd', '#fffac1', '#fffcc4', '#fffdc8', '#ffffcc']\n colors_grorrd = ['#800026', '#850026', '#8a0026', '#8f0026', '#940026', '#990026', '#9e0026', '#a30026', '#a80026', '#ad0026', '#b20026', '#b70026', '#bd0026', '#c00225', '#c30424', '#c60623', '#c90822', '#cc0a21', '#d00d21', '#d30f20', '#d6111f', '#d9131e', '#dc151d', '#df171c', '#e31a1c', '#e51e1d', '#e7221e', '#e9271f', '#eb2b20', '#ed2f21', '#ef3423', '#f13824', '#f33c25', '#f54126', '#f74527', '#f94928', '#fc4e2a', '#fc532b', '#fc582d', '#fc5d2e', '#fc6330', '#fc6831', '#fc6d33', '#fc7234', '#fc7836', '#fc7d37', '#fc8239', '#fc873a', '#fd8d3c', '#fd903d', '#fd933e', '#fd9640', '#fd9941', '#fd9c42', '#fd9f44', '#fda245', '#fda546', '#fda848', '#fdab49', '#fdae4a', '#feb24c', '#feb54f', '#feb853', '#febb56', '#febf5a', '#fec25d', '#fec561', '#fec864', '#fecc68', '#fecf6b', '#fed26f', '#fed572', '#fed976', '#feda79', '#fedc7d', '#fede80', '#fedf84', '#fee187', '#fee38b', '#fee48e', '#fee692', '#fee895', '#fee999', '#feeb9c', '#ffeda0', '#fbeaa4', '#f7e8a8', '#f4e6ac', '#f0e4b1', '#ece2b5', '#e9e0b9', '#e5ddbd', '#e1dbc2', '#ded9c6', '#dad7ca', '#d6d5ce', '#d3d3d3']\n colors_inferno = ['#000003', '#000004', '#000006', '#010007', '#010109', '#01010B', '#02010E', '#020210', '#030212', '#040314', '#040316', '#050418', '#06041B', '#07051D', '#08061F', '#090621', '#0A0723', '#0B0726', '#0D0828', '#0E082A', '#0F092D', '#10092F', '#120A32', '#130A34', '#140B36', '#160B39', '#170B3B', '#190B3E', '#1A0B40', '#1C0C43', '#1D0C45', '#1F0C47', '#200C4A', '#220B4C', '#240B4E', '#260B50', '#270B52', '#290B54', '#2B0A56', '#2D0A58', '#2E0A5A', '#300A5C', '#32095D', '#34095F', '#350960', '#370961', '#390962', '#3B0964', '#3C0965', '#3E0966', '#400966', '#410967', '#430A68', '#450A69', '#460A69', '#480B6A', '#4A0B6A', '#4B0C6B', '#4D0C6B', '#4F0D6C', '#500D6C', '#520E6C', '#530E6D', '#550F6D', '#570F6D', '#58106D', '#5A116D', '#5B116E', '#5D126E', '#5F126E', '#60136E', '#62146E', '#63146E', '#65156E', '#66156E', '#68166E', '#6A176E', '#6B176E', '#6D186E', '#6E186E', '#70196E', '#72196D', '#731A6D', '#751B6D', '#761B6D', '#781C6D', '#7A1C6D', '#7B1D6C', '#7D1D6C', '#7E1E6C', '#801F6B', '#811F6B', '#83206B', '#85206A', '#86216A', '#88216A', '#892269', '#8B2269', '#8D2369', '#8E2468', '#902468', '#912567', '#932567', '#952666', '#962666', '#982765', '#992864', '#9B2864', '#9C2963', '#9E2963', '#A02A62', '#A12B61', '#A32B61', '#A42C60', '#A62C5F', '#A72D5F', '#A92E5E', '#AB2E5D', '#AC2F5C', '#AE305B', '#AF315B', '#B1315A', '#B23259', '#B43358', '#B53357', '#B73456', '#B83556', '#BA3655', '#BB3754', '#BD3753', '#BE3852', '#BF3951', '#C13A50', '#C23B4F', '#C43C4E', '#C53D4D', '#C73E4C', '#C83E4B', '#C93F4A', '#CB4049', '#CC4148', '#CD4247', '#CF4446', '#D04544', '#D14643', '#D24742', '#D44841', '#D54940', '#D64A3F', '#D74B3E', '#D94D3D', '#DA4E3B', '#DB4F3A', '#DC5039', '#DD5238', '#DE5337', '#DF5436', '#E05634', '#E25733', '#E35832', '#E45A31', '#E55B30', '#E65C2E', '#E65E2D', '#E75F2C', '#E8612B', '#E9622A', '#EA6428', '#EB6527', '#EC6726', '#ED6825', '#ED6A23', '#EE6C22', '#EF6D21', '#F06F1F', '#F0701E', '#F1721D', '#F2741C', '#F2751A', '#F37719', '#F37918', '#F47A16', '#F57C15', '#F57E14', '#F68012', '#F68111', '#F78310', '#F7850E', '#F8870D', '#F8880C', '#F88A0B', '#F98C09', '#F98E08', '#F99008', '#FA9107', '#FA9306', '#FA9506', '#FA9706', '#FB9906', '#FB9B06', '#FB9D06', '#FB9E07', '#FBA007', '#FBA208', '#FBA40A', '#FBA60B', '#FBA80D', '#FBAA0E', '#FBAC10', '#FBAE12', '#FBB014', '#FBB116', '#FBB318', '#FBB51A', '#FBB71C', '#FBB91E', '#FABB21', '#FABD23', '#FABF25', '#FAC128', '#F9C32A', '#F9C52C', '#F9C72F', '#F8C931', '#F8CB34', '#F8CD37', '#F7CF3A', '#F7D13C', '#F6D33F', '#F6D542', '#F5D745', '#F5D948', '#F4DB4B', '#F4DC4F', '#F3DE52', '#F3E056', '#F3E259', '#F2E45D', '#F2E660', '#F1E864', '#F1E968', '#F1EB6C', '#F1ED70', '#F1EE74', '#F1F079', '#F1F27D', '#F2F381', '#F2F485', '#F3F689', '#F4F78D', '#F5F891', '#F6FA95', '#F7FB99', '#F9FC9D', '#FAFDA0', '#FCFEA4']\n colors_magma = ['#000003', '#000004', '#000006', '#010007', '#010109', '#01010B', '#02020D', '#02020F', '#030311', '#040313', '#040415', '#050417', '#060519', '#07051B', '#08061D', '#09071F', '#0A0722', '#0B0824', '#0C0926', '#0D0A28', '#0E0A2A', '#0F0B2C', '#100C2F', '#110C31', '#120D33', '#140D35', '#150E38', '#160E3A', '#170F3C', '#180F3F', '#1A1041', '#1B1044', '#1C1046', '#1E1049', '#1F114B', '#20114D', '#221150', '#231152', '#251155', '#261157', '#281159', '#2A115C', '#2B115E', '#2D1060', '#2F1062', '#301065', '#321067', '#341068', '#350F6A', '#370F6C', '#390F6E', '#3B0F6F', '#3C0F71', '#3E0F72', '#400F73', '#420F74', '#430F75', '#450F76', '#470F77', '#481078', '#4A1079', '#4B1079', '#4D117A', '#4F117B', '#50127B', '#52127C', '#53137C', '#55137D', '#57147D', '#58157E', '#5A157E', '#5B167E', '#5D177E', '#5E177F', '#60187F', '#61187F', '#63197F', '#651A80', '#661A80', '#681B80', '#691C80', '#6B1C80', '#6C1D80', '#6E1E81', '#6F1E81', '#711F81', '#731F81', '#742081', '#762181', '#772181', '#792281', '#7A2281', '#7C2381', '#7E2481', '#7F2481', '#812581', '#822581', '#842681', '#852681', '#872781', '#892881', '#8A2881', '#8C2980', '#8D2980', '#8F2A80', '#912A80', '#922B80', '#942B80', '#952C80', '#972C7F', '#992D7F', '#9A2D7F', '#9C2E7F', '#9E2E7E', '#9F2F7E', '#A12F7E', '#A3307E', '#A4307D', '#A6317D', '#A7317D', '#A9327C', '#AB337C', '#AC337B', '#AE347B', '#B0347B', '#B1357A', '#B3357A', '#B53679', '#B63679', '#B83778', '#B93778', '#BB3877', '#BD3977', '#BE3976', '#C03A75', '#C23A75', '#C33B74', '#C53C74', '#C63C73', '#C83D72', '#CA3E72', '#CB3E71', '#CD3F70', '#CE4070', '#D0416F', '#D1426E', '#D3426D', '#D4436D', '#D6446C', '#D7456B', '#D9466A', '#DA4769', '#DC4869', '#DD4968', '#DE4A67', '#E04B66', '#E14C66', '#E24D65', '#E44E64', '#E55063', '#E65162', '#E75262', '#E85461', '#EA5560', '#EB5660', '#EC585F', '#ED595F', '#EE5B5E', '#EE5D5D', '#EF5E5D', '#F0605D', '#F1615C', '#F2635C', '#F3655C', '#F3675B', '#F4685B', '#F56A5B', '#F56C5B', '#F66E5B', '#F6705B', '#F7715B', '#F7735C', '#F8755C', '#F8775C', '#F9795C', '#F97B5D', '#F97D5D', '#FA7F5E', '#FA805E', '#FA825F', '#FB8460', '#FB8660', '#FB8861', '#FB8A62', '#FC8C63', '#FC8E63', '#FC9064', '#FC9265', '#FC9366', '#FD9567', '#FD9768', '#FD9969', '#FD9B6A', '#FD9D6B', '#FD9F6C', '#FDA16E', '#FDA26F', '#FDA470', '#FEA671', '#FEA873', '#FEAA74', '#FEAC75', '#FEAE76', '#FEAF78', '#FEB179', '#FEB37B', '#FEB57C', '#FEB77D', '#FEB97F', '#FEBB80', '#FEBC82', '#FEBE83', '#FEC085', '#FEC286', '#FEC488', '#FEC689', '#FEC78B', '#FEC98D', '#FECB8E', '#FDCD90', '#FDCF92', '#FDD193', '#FDD295', '#FDD497', '#FDD698', '#FDD89A', '#FDDA9C', '#FDDC9D', '#FDDD9F', '#FDDFA1', '#FDE1A3', '#FCE3A5', '#FCE5A6', '#FCE6A8', '#FCE8AA', '#FCEAAC', '#FCECAE', '#FCEEB0', '#FCF0B1', '#FCF1B3', '#FCF3B5', '#FCF5B7', '#FBF7B9', '#FBF9BB', '#FBFABD', '#FBFCBF']\n colors_ylgnbl = ['#081d58', '#0a1e5d', '#0c2062', '#0f2267', '#11246c', '#142671', '#162876', '#182a7b', '#1b2c80', '#1d2e85', '#20308a', '#22328f', '#253494', '#243795', '#243b97', '#243e99', '#24429a', '#23459c', '#23499e', '#234c9f', '#2350a1', '#2253a3', '#2257a4', '#225aa6', '#225ea8', '#2162aa', '#2166ac', '#206aae', '#206fb0', '#1f73b2', '#1f77b4', '#1f7bb6', '#1e80b8', '#1e84ba', '#1d88bc', '#1d8cbe', '#1d91c0', '#2094c0', '#2397c0', '#269ac1', '#299dc1', '#2ca0c1', '#2fa3c2', '#32a6c2', '#35a9c2', '#38acc3', '#3bafc3', '#3eb2c3', '#41b6c4', '#46b7c3', '#4bb9c2', '#50bbc1', '#55bdc1', '#5abfc0', '#60c1bf', '#65c3be', '#6ac5be', '#6fc7bd', '#74c9bc', '#79cbbb', '#7fcdbb', '#85cfba', '#8bd1b9', '#91d4b9', '#97d6b8', '#9dd8b8', '#a3dbb7', '#a9ddb6', '#afdfb6', '#b5e2b5', '#bbe4b5', '#c1e6b4', '#c7e9b4', '#caeab3', '#cdebb3', '#d0ecb3', '#d3eeb3', '#d6efb2', '#daf0b2', '#ddf1b2', '#e0f3b2', '#e3f4b1', '#e6f5b1', '#e9f6b1', '#edf8b1', '#eef8b4', '#f0f9b7', '#f1f9bb', '#f3fabe', '#f4fac1', '#f6fbc5', '#f7fcc8', '#f9fccb', '#fafdcf', '#fcfdd2', '#fdfed5', '#ffffd9']\n colors_rdylbl = ['#a50026', '#a60529', '#a80a2c', '#aa0f2f', '#ac1432', '#ae1a35', '#b01f38', '#b1243b', '#b3293e', '#b52e42', '#b73445', '#b93948', '#bb3e4b', '#bc434e', '#be4851', '#c04e54', '#c25357', '#c4585b', '#c65d5e', '#c76261', '#c96864', '#cb6d67', '#cd726a', '#cf776d', '#d17c70', '#d28274', '#d48777', '#d68c7a', '#d8917d', '#da9680', '#dc9c83', '#dda186', '#dfa689', '#e1ab8d', '#e3b090', '#e5b693', '#e7bb96', '#e8c099', '#eac59c', '#ecca9f', '#eed0a2', '#f0d5a6', '#f2daa9', '#f3dfac', '#f5e4af', '#f7eab2', '#f9efb5', '#fbf4b8', '#fdf9bb', '#ffffbf', '#fafabe', '#f6f6bd', '#f2f2bc', '#eeeebb', '#e9eaba', '#e5e6b9', '#e1e2b9', '#dddeb8', '#d9dab7', '#d4d5b6', '#d0d1b5', '#cccdb4', '#c8c9b3', '#c4c5b3', '#bfc1b2', '#bbbdb1', '#b7b9b0', '#b3b5af', '#afb1ae', '#aaacad', '#a6a8ad', '#a2a4ac', '#9ea0ab', '#9a9caa', '#9598a9', '#9194a8', '#8d90a7', '#898ca7', '#8588a6', '#8083a5', '#7c7fa4', '#787ba3', '#7477a2', '#7073a1', '#6b6fa1', '#676ba0', '#63679f', '#5f639e', '#5b5f9d', '#565a9c', '#52569b', '#4e529b', '#4a4e9a', '#464a99', '#414698', '#3d4297', '#393e96', '#353a95', '#313695']\n colors = colors_grorrd\n colors.reverse()\n mapper = LinearColorMapper(palette=colors, low=0, high=100)\n\n #Bokeh figure\n p = figure(\n plot_width= width,\n plot_height=height,\n #title=\"Example freq\",\n y_range=list(dataframe.Id.drop_duplicates()),\n x_range=list(dataframe.Position.drop_duplicates()),\n tools=[\"hover\",\"tap\",\"save\",\"reset\",\"wheel_zoom\"], \n x_axis_location=\"above\",\n active_drag=None,\n toolbar_location=\"right\",\n toolbar_sticky = False,\n min_border_top = 200,#leave some space for x-axis artificial labels\n min_border_bottom = 0,\n )\n\n # Create rectangle for heatmap\n mysource = ColumnDataSource(dataframe)\n p.rect(\n y=\"Id\", \n x=\"Position\",\n width=1, \n height=1, \n source=mysource,\n line_color=\"white\", \n fill_color=transform(itype, mapper),\n\n # set visual properties for selected glyphs\n selection_line_color=\"black\",\n selection_fill_color=transform(itype, mapper),\n # set visual properties for non-selected glyphs\n nonselection_fill_color=transform(itype, mapper),\n nonselection_fill_alpha=1,\n nonselection_line_alpha=1,\n nonselection_line_color=\"white\"\n )\n\n #Very poor way of creating X-axis labels. Necessary for having linejumps inside the axis labels\n x_cord = 0\n y_cord = len(list(dataframe.Id.drop_duplicates()))+11#Position: 11 spaces above the plot's top border\n foolabel = Label(x=-1,\n y=y_cord,\n text='\\nA: \\nB: \\nC: \\nF: \\n\\n\\nA: \\nB: \\nC: \\nF: \\n',\n render_mode='css', \n border_line_alpha=1.0,\n text_font_size = \"10pt\",\n background_fill_color = \"#FFFFFF\")\n p.add_layout(foolabel)\n\n #Fore every unique position in the set, add a label in axis\n for position in list(dataframe.Position.drop_duplicates()):\n position = position.replace(\"Ligand\",\"Lig\\n\\n\\n\\n\\n\")\n foolabel = Label(x=x_cord,\n y=y_cord,\n text=position,\n render_mode='css', \n border_line_alpha=1.0,\n background_fill_color = \"#FFFFFF\",\n text_font_size = \"10pt\")\n p.add_layout(foolabel)\n x_cord +=1\n\n # Setting axis\n p.axis.axis_line_color = None\n p.axis.major_tick_line_color = None\n p.xaxis.major_label_text_font_size = \"10pt\"\n p.yaxis.major_label_text_font_size = \"10pt\"\n p.yaxis.visible = False\n p.xaxis.visible = False\n p.axis.major_label_standoff = 0\n p.xaxis.major_label_orientation = 1\n\n # Adding hover\n p.add_tools(hover)\n\n # Needed later\n return(mysource,p)","def plot(self):\n pass","def __init__(self, fig):\n # Initialize systems\n self.set_quantum_sys()\n\n #################################################################\n #\n # Initialize plotting facility\n #\n #################################################################\n\n self.fig = fig\n\n ax = fig.add_subplot(111)\n\n ax.set_title('Wavefunction density, $| \\\\Psi(x_1, x_2, t) |^2$')\n extent=[\n self.quant_sys.x2.min(),\n self.quant_sys.x2.max(),\n self.quant_sys.x1.min(),\n self.quant_sys.x1.max()\n ]\n self.img = ax.imshow([[]], extent=extent, origin='lower')\n\n self.fig.colorbar(self.img)\n\n ax.set_xlabel('$x_2$ (a.u.)')\n ax.set_ylabel('$x_1$ (a.u.)')","def assemblePlot(self):\n self.clearPlot()\n self.axes = self.figure.add_subplot(111)\n\n # Reset handles\n self._fluxOverlayHandles = []\n self._magneticAxisHandle = None\n self._orbitHandles = []\n self._separatrixOverlayHandle = None\n self._wallCrossSectionOverlayHandle = None\n\n # Plot image\n self.plotEq()\n\n # Plot overlays\n self.plotOverlays()\n\n self.adjustAxes()","def plot_precision_figure(self):\n\n data_analysis = DatabaseData(dataframe=self.plot_data)\n prop_data, energy_data, M, C, pred_energy, pred_property = \\\n data_analysis.create_precision_bokeh_compat(self.prop_data, self.energy_data, properties=self.properties)\n p = figure(plot_height=400, plot_width=400,tools=\"pan,wheel_zoom,box_zoom,reset,previewsave\",\\\n x_axis_type=\"log\", y_axis_type=\"log\", x_axis_label='Energy Convergence (meV/atom)', title='Slope M is {0}'.format(str(M)) )\n p.line(pred_energy, pred_property, color='red')\n p.circle(self.energy_data, self.prop_data, color='blue',size=5, line_alpha=0)\n #p.multi_line(xs_err, ys_err, color='black')\n if self.properties == 'B':\n p.yaxis.axis_label = 'Bulk Modulus B (%)'\n elif self.properties == 'dB':\n p.yaxis.axis_label = 'Bulk Modulus Pressure Derivative (%)'\n elif self.properties == 'Multiple':\n p.yaxis.axis_label = \"V0, B, B' (%)\"\n elif self.properties == 'V0':\n p.yaxis.axis_label = 'Volume (%)'\n\n return p","def draw(self, fig, ax):\n\n\t\tpoints = self.apply_transformations() \n\t\tax.scatter3D(points[:, 0], points[:, 1], points[:, 2])\n\n\t\t# cube polygons collection\n\t\tverts = [\n\t\t\t[points[0], points[1], points[2], points[3]],\n\t\t\t[points[4], points[5], points[6], points[7]], \n\t\t\t[points[0], points[1], points[5], points[4]], \n\t\t\t[points[2], points[3], points[7], points[6]], \n\t\t\t[points[1], points[2], points[6], points[5]],\n\t\t\t[points[4], points[7], points[3], points[0]]\n\t\t]\n\t\t\n\t\t# render polygons\n\t\tax.add_collection3d(Poly3DCollection(verts, \n\t\tfacecolors='blue', linewidths=1, edgecolors='b', alpha=0.3))","def update_plot(click, contents, filename, start_date, end_date, freq, window_length, mean_diff,\n max_diff, upper_ll, lower_ll, vardiff, slopedev):\n if click < 1:\n return\n\n # params = pd.read_json(params)\n # params = params.apply(pd.to_numeric)\n # params = params.sort_values('Run')\n\n window_length = int(window_length)\n mean_diff = float(mean_diff)\n max_diff = float(max_diff)\n upper_ll = float(upper_ll)\n lower_ll = float(lower_ll)\n slopedev = float(slopedev)\n vardiff = float(vardiff)\n\n\n df = utils.read_df(contents, filename)\n df = df[(df.index >= start_date) & (df.index <= end_date)]\n df = df[df.index.minute % freq == 0]\n is_clear, components, alpha = \\\n cs_utils.detect_clearsky(df['GHI'], df['GHIcs'], df.index,\n window_length=window_length, mean_diff=mean_diff,\n max_diff=max_diff, upper_line_length=upper_ll, lower_line_length=lower_ll,\n slope_dev=slopedev, var_diff=vardiff, return_components=True)\n\n df['GHIcs'] = df['GHIcs'] * alpha\n fig = tls.make_subplots(rows=2, cols=1, shared_xaxes=True)\n\n plots = []\n plots.append(go.Scatter(x=df.index, y=df['GHI'], name='GHI'))\n plots.append(go.Scatter(x=df.index, y=df['GHIcs'], name='GHIcs'))\n plots.append(go.Scatter(x=df[is_clear].index, y=df[is_clear]['GHI'], name='PVLib clear', mode='markers'))\n plots.append(go.Scatter(x=df.index, y=components['mean_diff'],\n name='Mean diff.', visible='legendonly'))\n plots.append(go.Scatter(x=df.index, y=components['max_diff'],\n name='Max diff.', visible='legendonly'))\n plots.append(go.Scatter(x=df.index, y=components['line_length'],\n name='Line length', visible='legendonly'))\n plots.append(go.Scatter(x=df.index, y=components['slope_nstd'],\n name='Slope std. dev.', visible='legendonly'))\n plots.append(go.Scatter(x=df.index, y=components['slope_max'],\n name='Max slope diff.', visible='legendonly'))\n\n for p in plots:\n fig.append_trace(p, 1, 1)\n\n plots2 = []\n passes = pd.DataFrame(components)\n for i, test in enumerate(['mean_diff_pass', 'max_diff_pass', 'line_length_pass',\n 'slope_nstd_pass', 'slope_max_pass']):\n slice = passes[test].astype(int)\n ii = i / 4\n yval = [ii] * len(slice.astype(bool) & passes['non_zero'].astype(bool))\n plots2.append(\n go.Scatter(x=df.index[:len(slice)][slice.astype(bool) & passes['non_zero'].astype(bool)],\n y=yval, name='', mode='markers', showlegend=False)\n )\n\n for p in plots2:\n fig.append_trace(p, 2, 1)\n\n fig['layout']['yaxis2'].update(tickmode='text', tickvals=[0, .25, .5, .75, 1],\n ticktext=['Mean diff.', 'Max diff.', 'Line length',\n 'Slope std. dev.', 'Max slope diff.'])\n fig['layout']['xaxis2'].update(title='Date')\n fig['layout']['yaxis2'].update(domain=[0, 0.2])\n fig['layout']['yaxis1'].update(title='GHI / W/m2')\n fig['layout']['yaxis1'].update(domain=[.25, 1])\n fig['layout'].update(height=500, margin={'l': 100})\n fig['layout'].update(title='Window length: {}, mean diff: {}, max diff: {}, upper line length: {}, '\n 'lower line length: {}, max slope difference: {}, std slope differece: {}'\n .format(window_length, mean_diff, max_diff, upper_ll, lower_ll, slopedev, vardiff))\n\n plots = fig\n\n layout = go.Layout(xaxis={'title': 'Date'}, # yaxis={'title': 'W/m2'},\n title='Window length: {}, mean diff: {}, max diff: {}, upper line length: {}, '\n 'lower line length: {}, max slope difference: {}, std slope differece: {}'\n .format(window_length, mean_diff, max_diff, upper_ll, lower_ll, slopedev, vardiff),\n )\n ts_plot = dcc.Graph(id='cs-plot', figure={'data': plots, 'layout': layout})\n\n # scores = [go.Scatter(x=list(range(len(params))),\n # y=params['F-score'],\n # text=utils.df_to_text(params), hoverinfo='text')]\n # scores_layout = go.Layout(xaxis={'title': 'Run', 'tickvals': [i for i in range(1, len(params))],\n # 'ticktext': [str(i + 1) for i in range(1, len(params))],\n # 'range': [0, len(params)]}, yaxis={'title': 'F-score'})\n # scores_plot = dcc.Graph(id='cs-scores', figure={'data': scores, 'layout': scores_layout})\n #\n # table = dt.DataTable(\n # rows=params[['Run', 'Window length', 'Mean difference', 'Max difference',\n # 'Upper line length', 'Lower line length', 'Variance of slopes',\n # 'Max difference of slopes', 'F-score']].round(3).to_dict('records'),\n # columns=['Run', 'Window length', 'Mean difference', 'Max difference',\n # 'Upper line length', 'Lower line length', 'Variance of slopes',\n # 'Max difference of slopes', 'F-score'],\n # selected_row_indices=[],\n # sortable=True,\n # filterable=True,\n # editable=False,\n # id='cs-param_table'\n # )\n\n final = html.Div([\n html.Div(ts_plot)\n ], style={'width': '98%', 'float': 'center', 'pad': {'l': 40}})\n\n return final","def _update_plot(self) -> None:\n\n # Check if plotting is active\n if self._fig is None:\n return None\n LOG.debug(\"Updating plot.\")\n\n # Extract glaciated area\n hs_back = np.ma.masked_where(\n self.h <= 1,\n hillshade(\n self.ele, self.PLOT_HILLSHADE_AZIMUTH, self.PLOT_HILLSHADE_ALTITUDE\n ),\n )\n\n # Clear plot and draw axes\n self._fig.clear()\n ax = plt.subplot(121, facecolor=\"black\")\n ax.tick_params(axis=\"x\", colors=\"w\")\n ax.tick_params(axis=\"y\", colors=\"w\")\n ax.set(xlabel=\"X-coordinate [m]\", ylabel=\"Y-coordinate [m]\")\n ax.xaxis.label.set_color(\"w\")\n ax.yaxis.label.set_color(\"w\")\n title_text = f\"Year: {str(self.i)} ELA: {str(int(self.ela))} m.a.s.l.\"\n ax.set_title(title_text, color=\"white\", size=18)\n\n # Draw new image layers\n plt.imshow(self.hs, vmin=90, vmax=345, cmap=\"copper\", extent=self.extent)\n plt.imshow(255 - hs_back, vmin=1, vmax=150, cmap=\"Greys\", extent=self.extent)\n\n # Mass balance\n ax1 = plt.subplot(222, facecolor=\"black\")\n ax1.plot(self.mass_balance, color=\"w\")\n ax1.plot(self.mass_balance_trend, color=\"r\")\n ax1.set(ylabel=\"Mass balance [m]\")\n ax1.yaxis.label.set_color(\"w\")\n plt.setp(ax1.get_xticklabels(), visible=False)\n ax1.tick_params(axis=\"y\", colors=\"w\")\n ax1.set_title(f\"Gradient: {str(self.m)} m/m\", color=\"white\", size=18)\n\n # Plot mean thickness\n ax2 = plt.subplot(224, sharex=ax1, facecolor=\"black\")\n ax2.plot(self.mass, color=\"w\")\n ax2.set(xlabel=\"Year [a]\", ylabel=\"Mean thickness [m]\")\n ax2.xaxis.label.set_color(\"w\")\n ax2.yaxis.label.set_color(\"w\")\n ax2.tick_params(axis=\"x\", colors=\"w\")\n ax2.tick_params(axis=\"y\", colors=\"w\")\n\n # Draw new plot\n self._fig.canvas.draw()\n plt.pause(0.05)","def plot_data(self):","def make_2axis_graph():\n d = curdoc()\n _remove_fig(d)\n graph_val = d.get_model_by_name(GRAPH_SELECTION).value\n model_id, message_name, _ = run_handlers.get_modelid_messagename_type(d)\n\n xval = d.get_model_by_name(X_AXIS_SELECTION).value\n yval = d.get_model_by_name(Y_AXIS_SELECTION).value\n\n if xval != DEFAULT_UNSELECTED and yval != DEFAULT_UNSELECTED:\n plot = figure(plot_width=400, plot_height=400, name=FIGURE_MODEL)\n sind = run_handlers.get_source_index(d.session_context.id, model_id, message_name)\n _install_callback_and_cds(sind, model_id, message_name, stream_limit=100000)\n\n # get the field name back from the pretty field : meta string formed above\n x = xval.split(\" :\")[0]\n y = yval.split(\" :\")[0]\n\n if graph_val == \"line\":\n plot.line(x=x, y=y, color=\"firebrick\", line_width=2, source=d.get_model_by_name(sind))\n plot.x_range.follow = \"end\" # don't jam all the data into the graph; \"window\" it\n plot.x_range.follow_interval = 100\n plot.x_range.range_padding = 0\n if graph_val == \"scatter\":\n plot.cross(x=x, y=y, size=20, color=\"firebrick\", line_width=2, source=d.get_model_by_name(sind))\n if graph_val == \"step\":\n plot.step(x=x, y=y, color=\"#FB8072\", source=d.get_model_by_name(sind))\n\n d.add_root(plot)","def __init__(self, width, height, dpi, hasCalma, parent=None):\n\n # Create Figure instance (which stores our plots)\n self.fig = Figure(figsize=(2, 2), dpi=dpi, edgecolor='blue')\n\n # Add an initial plot to our figure\n self.canvasGraph = self.fig.add_subplot(111)\n\n # Fetch colour map\n self.colourMap = self.get_colour_map()\n\n # Initialize figure canvas, which initializes an instance of QtWidget\n FigureCanvas.__init__(self, self.fig)\n self.setParent(parent)\n\n # Store reference to axes\n self.ax = self.fig.gca()\n\n # Hide tick labels to create default style\n self.ax.set_yticklabels([])\n self.ax.set_xticklabels([])\n\n # Add placeholder text\n if hasCalma:\n self.placeHolderText = self.fig.text(0.5, 0.65,'Click on a performance track for CALMA data',horizontalalignment='center',\n verticalalignment='center', fontsize=16)\n else:\n self.placeHolderText = self.fig.text(0.5, 0.65,'No CALMA data available for this query',horizontalalignment='center',\n verticalalignment='center',\n fontsize=16)\n\n # Make background transparent\n self.fig.patch.set_alpha(1.0)\n\n # Resize with window\n FigureCanvas.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)\n FigureCanvas.updateGeometry(self)\n self.setMinimumSize(self.size())","def plot_figure(param1, param2):\n return 0","def __init__(self):\n super().__init__()\n\n # general attributes\n self.printTag = 'OUTSTREAM PLOT'\n self.options = {} # outstreaming options # no addl info from original developer\n self.counter = 0 # keeps track of how many times the same plot has been plotted\n self.dim = None # default plot is 2D\n self.sourceName = [] # list of source names\n self.sourceData = None # source of data\n self.outStreamTypes = [] # list of the outstream types\n self.destinations = None # where plots should go (screen, file, etc.)\n\n # plot types key is data dimension, value is list of available plot types\n self.availableOutStreamTypes = {2: ['scatter',\n 'line',\n 'histogram',\n 'stem',\n 'step',\n 'pseudocolor',\n 'dataMining',\n 'contour',\n 'filledContour'],\n 3: ['scatter',\n 'line',\n 'histogram',\n 'stem',\n 'surface',\n 'wireframe',\n 'tri-surface',\n 'contour',\n 'filledContour']}\n\n # interpolators that can be used in plots\n self.availableInterpolators = ['nearest',\n 'linear',\n 'cubic',\n 'multiquadric',\n 'inverse',\n 'gaussian',\n 'Rbflinear',\n 'Rbfcubic',\n 'quintic',\n 'thin_plate']\n\n # plot components\n self.fig = None # figure\n self.ax = None # axes\n self.actPlot = None # plot action, ie., ax.plot()\n self.gridSpace = None # subplot setup\n self.actcm = None # colormap\n self.xCoordinates = None # x coordinate name\n self.yCoordinates = None # y coordinate name\n self.zCoordinates = None # z coordinate name\n self.xValues = None # dictionary of x values\n self.yValues = None # dictionary of y values\n self.zValues = None # dictionary of z values\n self.colorMapCoordinates = {} # color map coordinates\n self.colorMapValues = {} # color map values\n\n # For the data-mining plot, I think?\n self.clusterLabels = None\n self.clusterValues = None\n\n # Gaussian Mixtures\n self.mixtureLabels = None\n self.mixtureValues = None\n self.mixtureMeans = None\n self.mixtureCovars = None","def from_pyplot_fig(cls, fig, dpi=200):\n buf = io.BytesIO()\n fig.savefig(buf, format=\"png\", dpi=dpi, bbox_inches=\"tight\")\n buf.seek(0)\n img_arr = np.frombuffer(buf.getvalue(), dtype=np.uint8)\n buf.close()\n img = cv2.imdecode(img_arr, 1)\n img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n return cls(img)","def init_fig(self, fig):\n # type: (Figure) -> None\n self.init_vars()\n\n self.xs, self.ys = np.meshgrid(np.arange(0., self.max_iter+.5)-.5, np.arange(0., self.n_vars+.5)-.5)\n self.cs = np.zeros((self.n_vars, self.max_iter))\n\n self.ax = fig.add_subplot(111)\n self.ax.xaxis.set_major_locator(ticker.MaxNLocator(integer=True))\n self.ax.yaxis.set_ticks(np.arange(0, self.n_vars))\n self.ax.yaxis.set_ticklabels(self.var_names)\n\n self.ax.set_xlim([-.5, .5])\n self.ax.set_ylim([-.5, self.n_vars-.5])\n self.quad = self.ax.pcolormesh(self.xs, self.ys, self.cs,\n vmin=self.vmin, vmax=self.vmax, cmap=self.cmap, norm=self.norm)\n\n fig.colorbar(self.quad)\n\n self.ax.set_xlabel('Evaluation #')","def show_plot(figure_id=None):\n if figure_id is None:\n fig = pl.gcf()\n else:\n # do this even if figure_id == 0\n fig = pl.figure(num=figure_id)\n pl.show()\n pl.pause(1e-9)\n fig.canvas.manager.window.activateWindow()\n fig.canvas.manager.window.raise_()","def fig2data ( fig ):\n # draw the renderer\n fig.canvas.draw ( )\n buf = np.array(fig.canvas.renderer._renderer)\n return buf"],"string":"[\n \"def make_figure(self, traces):\\n pass\",\n \"def get_div_from_data(mpl_fig):\\n res = plotly.offline.plot_mpl(\\n mpl_fig,\\n include_plotlyjs=False,\\n output_type='div',\\n resize=True,\\n image_height=\\\"100%\\\", image_width=\\\"100%\\\"\\n )\\n return res\",\n \"def embed_matplotlib(self):\",\n \"def figure():\\n global fig\\n return fig\",\n \"def plot_mpl(fig, resize=True, strip_style=False, update=None, **plot_options):\\n import plotly.tools\\n\\n fig = plotly.tools.mpl_to_plotly(fig, resize=resize, strip_style=strip_style)\\n if update and isinstance(update, dict):\\n fig.update(update)\\n elif update is not None:\\n raise _plotly_utils.exceptions.PlotlyGraphObjectError(\\n \\\"'update' must be dictionary-like and a valid plotly Figure \\\"\\n \\\"object. Run 'help(plotly.graph_objs.Figure)' for more info.\\\"\\n )\\n return plot(fig, **plot_options)\",\n \"def create_plot():\\n\\n fig, ax = plt.subplots()\\n return fig, ax\",\n \"def iplot(figure_or_data, **plot_options):\\n from plotly.basedatatypes import BaseFigure, BaseLayoutType\\n\\n if \\\"auto_open\\\" not in plot_options:\\n plot_options[\\\"auto_open\\\"] = False\\n url = plot(figure_or_data, **plot_options)\\n\\n if isinstance(figure_or_data, dict):\\n layout = figure_or_data.get(\\\"layout\\\", {})\\n if isinstance(layout, BaseLayoutType):\\n layout = layout.to_plotly_json()\\n elif isinstance(figure_or_data, BaseFigure):\\n layout = figure_or_data.layout.to_plotly_json()\\n else:\\n layout = {}\\n\\n embed_options = dict()\\n embed_options[\\\"width\\\"] = layout.get(\\\"width\\\", \\\"100%\\\")\\n embed_options[\\\"height\\\"] = layout.get(\\\"height\\\", 525)\\n try:\\n float(embed_options[\\\"width\\\"])\\n except (ValueError, TypeError):\\n pass\\n else:\\n embed_options[\\\"width\\\"] = str(embed_options[\\\"width\\\"]) + \\\"px\\\"\\n\\n try:\\n float(embed_options[\\\"height\\\"])\\n except (ValueError, TypeError):\\n pass\\n else:\\n embed_options[\\\"height\\\"] = str(embed_options[\\\"height\\\"]) + \\\"px\\\"\\n\\n return tools.embed(url, **embed_options)\",\n \"def draw_figure(self, **kwargs):\\n\\n fig = figure(**kwargs)\\n fig.xaxis.axis_label = self.x_label\\n fig.yaxis.axis_label = self.y_label\\n\\n return fig\",\n \"def bind_to_figure(ax, fig=None):\\n\\n if fig is not None:\\n assert isinstance(fig, plt.Figure), 'argument must be a Figure'\\n assert len(fig.axes) == 1, 'figure must have one and only one axes'\\n new_ax = fig.axes[0]\\n else:\\n fig, new_ax = plt.subplots()\\n\\n new_ax.set_facecolor(ax.get_facecolor())\\n\\n for line in ax.lines:\\n data = line.get_data()\\n new_ax.plot(data[0], data[1], linestyle=line.get_linestyle(), color=line.get_color(),\\n zorder=line.zorder, label=line.get_label())\\n\\n for collection in ax.collections:\\n data = collection.get_offsets()\\n new_ax.scatter(data[:, 0], data[:, 1], marker='s', facecolor=collection.get_facecolors(),\\n edgecolor=collection.get_edgecolors(), s=collection.get_sizes(),\\n zorder=line.zorder, label=collection.get_label())\\n\\n for text in ax.texts:\\n xx, yy = text.get_position()\\n new_ax.text(xx, yy, text.get_text(), family=text.get_fontfamily(),\\n fontsize=text.get_fontsize(),\\n color=text.get_color(), ha=text.get_horizontalalignment(),\\n va=text.get_verticalalignment(), zorder=text.zorder)\\n\\n for image in ax.images:\\n new_ax.imshow(image.get_array(), interpolation=image.get_interpolation())\\n\\n if ax.legend_:\\n new_ax.legend()\\n\\n new_ax.grid(ax.get_xgridlines(), color=ax.get_xgridlines()[0].get_color(),\\n alpha=ax.get_xgridlines()[0].get_alpha())\\n new_ax.grid(ax.get_ygridlines(), color=ax.get_xgridlines()[0].get_color(),\\n alpha=ax.get_xgridlines()[0].get_alpha())\\n\\n new_ax.set_xlim(ax.get_xlim())\\n new_ax.set_ylim(ax.get_ylim())\\n new_ax.set_xlabel(ax.get_xlabel())\\n new_ax.set_ylabel(ax.get_ylabel())\\n\\n return fig\",\n \"def figure1():\\n\\n plot_settings = {'y_limits': [-80, -50],\\n 'x_limits': None,\\n 'y_ticks': [-80, -70, -60, -50],\\n 'locator_size': 5,\\n 'y_label': 'Voltage (mV)',\\n 'x_ticks': [],\\n 'scale_size': 20,\\n 'x_label': \\\"\\\",\\n 'scale_loc': 4,\\n 'figure_name': 'figure_1',\\n 'legend_size': 8,\\n 'legend': None,\\n 'y_on': True}\\n\\n t, y = solver(100) # Integrate solution\\n plt.figure(figsize=(5, 2)) # Create figure\\n plt.plot(t, y[:, 0], 'k-') # Plot solution\\n\\n \\\"\\\"\\\"\\n Annotate plot with figures\\n \\\"\\\"\\\"\\n plt.gca().annotate('fAHP', xy=(13.5, -65), xytext=(17, -60),\\n arrowprops=dict(facecolor='black', shrink=0, headlength=10, headwidth=5, width=1), )\\n plt.gca().annotate('ADP', xy=(15.5, -66), xytext=(25, -65),\\n arrowprops=dict(facecolor='black', shrink=0, headlength=10, headwidth=5, width=1), )\\n plt.gca().annotate('mAHP', xy=(38, -77), xytext=(43, -72),\\n arrowprops=dict(facecolor='black', shrink=0, headlength=10, headwidth=5, width=1), )\\n alter_figure(plot_settings, close=True) # Alter figure for publication\",\n \"def save_local_interactive(fig: go.Figure, name):\\n from plotly.offline import plot\\n plot(fig, filename=name)\",\n \"def create_figure(self) -> None:\\n plt.ion()\\n self.fig = plt.figure(1)\\n self.axis = self.fig.add_subplot(111, xlim=(0, 1), ylim=(0, 1))\\n self.axis.grid(True)\\n plt.xticks(np.linspace(0, 1, self._param[\\\"n_v\\\"] + 1))\\n plt.yticks(np.linspace(0, 1, self._param[\\\"n_v\\\"] + 1))\\n a_plt, = self.axis.plot([], [], 'bx', markersize=5)\\n l_plt, = self.axis.plot([], [], 'r.', markersize=15)\\n self.plots = [a_plt, l_plt]\",\n \"def plot(figure_or_data, show_link=True, link_text='Export to plot.ly',\\n validate=True, output_type='file', include_plotlyjs=True,\\n filename='temp-plot.html', auto_open=True, image=None,\\n image_filename='plot_image', image_width=800, image_height=600):\\n if output_type not in ['div', 'file']:\\n raise ValueError(\\n \\\"`output_type` argument must be 'div' or 'file'. \\\"\\n \\\"You supplied `\\\" + output_type + \\\"``\\\")\\n if not filename.endswith('.html') and output_type == 'file':\\n warnings.warn(\\n \\\"Your filename `\\\" + filename + \\\"` didn't end with .html. \\\"\\n \\\"Adding .html to the end of your file.\\\")\\n filename += '.html'\\n\\n config = {}\\n config['showLink'] = show_link\\n config['linkText'] = link_text\\n\\n plot_html, plotdivid, width, height = _plot_html(\\n figure_or_data, config, validate,\\n '100%', '100%', global_requirejs=False)\\n\\n resize_script = ''\\n if width == '100%' or height == '100%':\\n resize_script = (\\n ''\\n '<script type=\\\"text/javascript\\\">'\\n 'window.removeEventListener(\\\"resize\\\");'\\n 'window.addEventListener(\\\"resize\\\", function(){{'\\n 'Plotly.Plots.resize(document.getElementById(\\\"{id}\\\"));}});'\\n '</script>'\\n ).format(id=plotdivid)\\n\\n if output_type == 'file':\\n with open(filename, 'w') as f:\\n if include_plotlyjs:\\n plotly_js_script = ''.join([\\n '<script type=\\\"text/javascript\\\">',\\n get_plotlyjs(),\\n '</script>',\\n ])\\n else:\\n plotly_js_script = ''\\n\\n if image:\\n if image not in __IMAGE_FORMATS:\\n raise ValueError('The image parameter must be one of the '\\n 'following: {}'.format(__IMAGE_FORMATS))\\n # if the check passes then download script is injected.\\n # write the download script:\\n script = get_image_download_script('plot')\\n script = script.format(format=image,\\n width=image_width,\\n height=image_height,\\n filename=image_filename,\\n plot_id=plotdivid)\\n else:\\n script = ''\\n\\n f.write(''.join([\\n '<html>',\\n '<head><meta charset=\\\"utf-8\\\" /></head>',\\n '<body>',\\n plotly_js_script,\\n plot_html,\\n resize_script,\\n script,\\n '</body>',\\n '</html>']))\\n\\n url = 'file://' + os.path.abspath(filename)\\n if auto_open:\\n webbrowser.open(url)\\n\\n return url\\n\\n elif output_type == 'div':\\n if include_plotlyjs:\\n return ''.join([\\n '<div>',\\n '<script type=\\\"text/javascript\\\">',\\n get_plotlyjs(),\\n '</script>',\\n plot_html,\\n '</div>'\\n ])\\n else:\\n return plot_html\",\n \"def create_figure():\\n data = requests.get('https://msds603-swolemate-s3.s3.us-west-2.amazonaws.com/shiqi_xycoords.json').json()\\n fig = Figure()\\n axis = fig.add_subplot(1, 1, 1)\\n lwrist = [v for record in data for k, v in record.items() if k=='left_wrist']\\n x = [i[0] for i in lwrist]\\n y = [i[1] for i in lwrist]\\n axis.scatter(x,y)\\n axis.set_xlabel('X')\\n axis.set_ylabel('Y')\\n axis.set_title('Left Wrist Position')\\n return fig\",\n \"def _setup_plot(x: float, y: float) -> plt.figure:\\n LOG.debug(\\\"Initializing plot.\\\")\\n plt.ion()\\n fig = plt.figure(figsize=(x, y), num=\\\"GlacierFlowModel\\\")\\n fig.patch.set_facecolor(\\\"black\\\")\\n return fig\",\n \"def getFigure():\\r\\n\\r\\n # get merged tables\\r\\n df_com = merge_tables()\\r\\n\\r\\n # list of selected parameters\\r\\n selectedlist = [\\r\\n 'MT-Cu',\\r\\n 'MT-Se',\\r\\n 'MT-Zn',\\r\\n 'BM-milling_time',\\r\\n 'BM-milling_speed',\\r\\n 'HP-hot_press_temperature',\\r\\n 'HP-hot_press_pressure',\\r\\n 'HP-hot_press_time',\\r\\n 'BM-HA-probe_resistance',\\r\\n 'HP-HA-probe_resistance',\\r\\n 'HP-ICP-radio_frequency',\\r\\n 'BM-ICP-radio_frequency',\\r\\n 'BM-ICP-pb_concentration',\\r\\n 'BM-ICP-sn_concentration',\\r\\n 'BM-ICP-o_concentration',\\r\\n 'HP-ICP-pb_concentration',\\r\\n 'HP-ICP-sn_concentration',\\r\\n 'HP-ICP-o_concentration',\\r\\n ]\\r\\n\\r\\n # format data frame\\r\\n df_com = df_com.reset_index()\\r\\n\\r\\n # x axis for plot\\r\\n x_col = 'index'\\r\\n\\r\\n # plotly figure layout options\\r\\n fig = make_subplots(rows=5, cols=6, specs=[\\r\\n [{'colspan': 6},None,None,None,None,None,],\\r\\n [{'rowspan': 1, 'colspan': 3}, None,None, {'rowspan': 1, 'colspan': 3},None,None,], \\r\\n [{'colspan': 2},None,{'colspan': 2},None,{'colspan': 2},None,],\\r\\n [{'rowspan': 1, 'colspan': 3}, None,None,{'rowspan': 1, 'colspan': 3},None, None,],\\r\\n [{'rowspan': 1, 'colspan': 3},None,None,{'rowspan': 1, 'colspan': 3},None,None,]], horizontal_spacing=0.1)\\r\\n\\r\\n # Materials table data plotting\\r\\n y_col1 = selectedlist[0]\\r\\n y_col2 = selectedlist[1]\\r\\n y_col3 = selectedlist[2]\\r\\n fig.add_trace(go.Bar(x=df_com[x_col], y=df_com[y_col1],\\r\\n marker_color='rgb(55, 83, 109)', name='Cu'), row=1,\\r\\n col=1) # ,offsetgroup=0\\r\\n fig.add_trace(go.Bar(x=df_com[x_col], y=df_com[y_col2],\\r\\n marker_color='rgb(26, 118, 255)', name='Se'), row=1,\\r\\n col=1)\\r\\n fig.add_trace(go.Bar(x=df_com[x_col], y=df_com[y_col3],\\r\\n marker_color='rgb(0,191,255)', name='Zn'), row=1,\\r\\n col=1)\\r\\n fig.update_xaxes(title_text='Index', showgrid=False, row=1, col=1)\\r\\n fig.update_yaxes(title_text='Raw Material Composition',\\r\\n showgrid=False, row=1, col=1)\\r\\n\\r\\n # Ball milling table data plotting\\r\\n y_col = selectedlist[3]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['BM-milling_time_units'], df_com['BM-uid'])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_size=7,\\r\\n marker_color='rgb(0,191,255)',\\r\\n marker_line_width=1,\\r\\n name='',\\r\\n ), row=2, col=1)\\r\\n fig.update_xaxes(title_text='Index', row=2, col=1)\\r\\n fig.update_yaxes(title_text='Ball Milling Time', row=2, col=1)\\r\\n\\r\\n y_col = selectedlist[4]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['BM-milling_speed_units'], df_com['BM-uid'])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(0,191,255)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='',\\r\\n ), row=2, col=4)\\r\\n fig.update_xaxes(title_text='Index', row=2, col=4)\\r\\n fig.update_yaxes(title_text='Ball Milling Speed', row=2, col=4)\\r\\n\\r\\n # Hot process table data plotting\\r\\n y_col = selectedlist[5]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='square',\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['HP-hot_press_temperature_units'],\\r\\n df_com['BM-uid'])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(55, 83, 109)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='',\\r\\n ), row=3, col=1)\\r\\n fig.update_xaxes(title_text='Index', row=3, col=1)\\r\\n fig.update_yaxes(title_text='Hot Press Temperature', row=3, col=1)\\r\\n\\r\\n y_col = selectedlist[6]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='square',\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['HP-hot_press_pressure_units'], df_com['BM-uid'\\r\\n ])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(55, 83, 109)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='',\\r\\n ), row=3, col=3)\\r\\n fig.update_xaxes(title_text='Index', row=3, col=3)\\r\\n fig.update_yaxes(title_text='Hot Press Pressure', row=3, col=3)\\r\\n\\r\\n\\r\\n y_col = selectedlist[7]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='square',\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['HP-hot_press_time_units'], df_com['BM-uid'\\r\\n ])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(55, 83, 109)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='',\\r\\n ), row=3, col=5)\\r\\n fig.update_xaxes(title_text='Index', row=3, col=5)\\r\\n fig.update_yaxes(title_text='Hot Press Time', row=3, col=5)\\r\\n\\r\\n # Hall measurement table plots\\r\\n y_col = selectedlist[8]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['BM-HA-probe_resistance_units'],\\r\\n df_com['BM-uid'])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(35,54,183)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='Ball Mill',\\r\\n ), row=4, col=1)\\r\\n fig.update_xaxes(title_text='Index', row=4, col=1)\\r\\n fig.update_yaxes(title_text='Probe Resistance', row=4, col=1)\\r\\n\\r\\n y_col = selectedlist[9]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='diamond',\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{}<br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['HP-HA-probe_resistance_units'],\\r\\n df_com['BM-uid'])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(274,94,91)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='Hot Process',\\r\\n ), row=4, col=1)\\r\\n \\r\\n # ICP measurement table plots\\r\\n y_col = selectedlist[10]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['BM-ICP-radio_frequency_units'],\\r\\n df_com['BM-uid'])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(35,54,183)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='Ball Mill',\\r\\n ), row=4, col=4)\\r\\n fig.update_xaxes(title_text='Index', row=4, col=4)\\r\\n fig.update_yaxes(title_text='ICP Radio Frequency', row=4, col=4)\\r\\n\\r\\n y_col = selectedlist[11]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='diamond',\\r\\n mode='markers',\\r\\n hovertemplate='<br>x: %{x}<br>' + 'y: %{y}' + '%{text}',\\r\\n text=['{} <br>{}<br>'.format(i, j) for (i, j) in\\r\\n zip(df_com['HP-ICP-radio_frequency_units'],\\r\\n df_com['BM-uid'])],\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='rgb(274,94,91)',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n name='Hot Process',\\r\\n ), row=4, col=4)\\r\\n \\r\\n # ICP measurement table concentration plots\\r\\n y_col = selectedlist[12]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='square',\\r\\n mode='markers',\\r\\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\\r\\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\\r\\n name='pb',\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='red',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n ), row=5, col=1)\\r\\n fig.update_xaxes(title_text='Index', row=5, col=1)\\r\\n fig.update_yaxes(title_text='Ball Mill-ICP Concentration', row=5,\\r\\n col=1)\\r\\n\\r\\n y_col = selectedlist[13]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='diamond',\\r\\n mode='markers',\\r\\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\\r\\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\\r\\n name='sn',\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='green',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n ), row=5, col=1)\\r\\n\\r\\n y_col = selectedlist[14]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n mode='markers',\\r\\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\\r\\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\\r\\n name='o',\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='black',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n ), row=5, col=1)\\r\\n\\r\\n y_col = selectedlist[15]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='square',\\r\\n mode='markers',\\r\\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\\r\\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\\r\\n name='pb',\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='red',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n ), row=5, col=4)\\r\\n fig.update_xaxes(title_text='Index', row=5, col=4)\\r\\n fig.update_yaxes(title_text='Hot Press-ICP Concentration', row=5,\\r\\n col=4)\\r\\n\\r\\n y_col = selectedlist[16]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n marker_symbol='diamond',\\r\\n mode='markers',\\r\\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\\r\\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\\r\\n name='sn',\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='green',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n ), row=5, col=4)\\r\\n\\r\\n y_col = selectedlist[17]\\r\\n fig.add_trace(go.Scatter(\\r\\n x=df_com[x_col],\\r\\n y=df_com[y_col],\\r\\n mode='markers',\\r\\n hovertemplate='y: %{y}' + '<br>x: %{x}<br>' + '%{text}',\\r\\n text=['<br>{}<br>'.format(i) for i in df_com['BM-uid']],\\r\\n name='o',\\r\\n marker_line_color='midnightblue',\\r\\n marker_color='black',\\r\\n marker_line_width=1,\\r\\n marker_size=7,\\r\\n ), row=5, col=4)\\r\\n\\r\\n # update figure options\\r\\n fig.update_layout(height=1800, width=900,\\r\\n title_text='Mat X Summary', showlegend=False)\\r\\n\\r\\n # return figure with subplots\\r\\n return fig\",\n \"def plot(figure_or_data, validate=True, **plot_options):\\n import plotly.tools\\n\\n figure = plotly.tools.return_figure_from_figure_or_data(figure_or_data, validate)\\n for entry in figure[\\\"data\\\"]:\\n if (\\\"type\\\" in entry) and (entry[\\\"type\\\"] == \\\"scattergl\\\"):\\n continue\\n for key, val in list(entry.items()):\\n try:\\n if len(val) > 40000:\\n msg = (\\n \\\"Woah there! Look at all those points! Due to \\\"\\n \\\"browser limitations, the Plotly SVG drawing \\\"\\n \\\"functions have a hard time \\\"\\n \\\"graphing more than 500k data points for line \\\"\\n \\\"charts, or 40k points for other types of charts. \\\"\\n \\\"Here are some suggestions:\\\\n\\\"\\n \\\"(1) Use the `plotly.graph_objs.Scattergl` \\\"\\n \\\"trace object to generate a WebGl graph.\\\\n\\\"\\n \\\"(2) Trying using the image API to return an image \\\"\\n \\\"instead of a graph URL\\\\n\\\"\\n \\\"(3) Use matplotlib\\\\n\\\"\\n \\\"(4) See if you can create your visualization with \\\"\\n \\\"fewer data points\\\\n\\\\n\\\"\\n \\\"If the visualization you're using aggregates \\\"\\n \\\"points (e.g., box plot, histogram, etc.) you can \\\"\\n \\\"disregard this warning.\\\"\\n )\\n warnings.warn(msg)\\n except TypeError:\\n pass\\n\\n plot_options = _plot_option_logic(plot_options)\\n\\n # Initialize API payload\\n payload = {\\\"figure\\\": figure, \\\"world_readable\\\": True}\\n\\n # Process filename\\n filename = plot_options.get(\\\"filename\\\", None)\\n if filename:\\n # Strip trailing slash\\n if filename[-1] == \\\"/\\\":\\n filename = filename[0:-1]\\n\\n # split off any parent directory\\n paths = filename.split(\\\"/\\\")\\n parent_path = \\\"/\\\".join(paths[0:-1])\\n filename = paths[-1]\\n\\n # Create parent directory\\n if parent_path:\\n file_ops.ensure_dirs(parent_path)\\n payload[\\\"parent_path\\\"] = parent_path\\n\\n payload[\\\"filename\\\"] = filename\\n else:\\n parent_path = \\\"\\\"\\n\\n # Process sharing\\n sharing = plot_options.get(\\\"sharing\\\", None)\\n if sharing == \\\"public\\\":\\n payload[\\\"world_readable\\\"] = True\\n elif sharing == \\\"private\\\":\\n payload[\\\"world_readable\\\"] = False\\n elif sharing == \\\"secret\\\":\\n payload[\\\"world_readable\\\"] = False\\n payload[\\\"share_key_enabled\\\"] = True\\n else:\\n raise _plotly_utils.exceptions.PlotlyError(SHARING_ERROR_MSG)\\n\\n # Extract grid\\n figure, grid = _extract_grid_from_fig_like(figure)\\n\\n # Upload grid if anything was extracted\\n if len(grid) > 0:\\n if not filename:\\n grid_filename = None\\n elif parent_path:\\n grid_filename = parent_path + \\\"/\\\" + filename + \\\"_grid\\\"\\n else:\\n grid_filename = filename + \\\"_grid\\\"\\n\\n grid_ops.upload(\\n grid=grid,\\n filename=grid_filename,\\n world_readable=payload[\\\"world_readable\\\"],\\n auto_open=False,\\n )\\n\\n _set_grid_column_references(figure, grid)\\n payload[\\\"figure\\\"] = figure\\n\\n file_info = _create_or_update(payload, \\\"plot\\\")\\n\\n # Compute viewing URL\\n if sharing == \\\"secret\\\":\\n web_url = file_info[\\\"web_url\\\"][:-1] + \\\"?share_key=\\\" + file_info[\\\"share_key\\\"]\\n else:\\n web_url = file_info[\\\"web_url\\\"]\\n\\n # Handle auto_open\\n auto_open = plot_options.get(\\\"auto_open\\\", None)\\n if auto_open:\\n _open_url(web_url)\\n\\n # Return URL\\n return web_url\",\n \"def addFigure(self,fig,xl,yl,scale):\\n img = py.image.load(fig)\\n w,h = img.get_size()\\n img = py.transform.scale(img,(int(w*scale),int(h*scale)))\\n self.figures.append(img)\\n self.locs.append((xl,yl))\",\n \"def iplot_mpl(fig, resize=True, strip_style=False, update=None, **plot_options):\\n import plotly.tools\\n\\n fig = plotly.tools.mpl_to_plotly(fig, resize=resize, strip_style=strip_style)\\n if update and isinstance(update, dict):\\n fig.update(update)\\n elif update is not None:\\n raise _plotly_utils.exceptions.PlotlyGraphObjectError(\\n \\\"'update' must be dictionary-like and a valid plotly Figure \\\"\\n \\\"object. Run 'help(plotly.graph_objs.Figure)' for more info.\\\"\\n )\\n return iplot(fig, **plot_options)\",\n \"def pyplot_visualize(self, plot):\\n if self.graph_type == self.TYPE_PLOT:\\n plot.plot(self.x_axis)\\n elif self.graph_type == self.TYPE_SCATTER:\\n plot.scatter(self.x_axis, self.y_axis)\\n elif self.graph_type == self.TYPE_HISTOGRAM:\\n plot.hist(self.x_axis, bins=self.bins)\\n self.py_apply_limits(plot)\\n self.py_apply_ticks(plot)\",\n \"def _dump_plotly(objs, images, func):\\n l = len(objs)\\n #print(l)\\n titles = []\\n for i,x in enumerate(objs):\\n if 'id' in x:\\n titles.append('shape id %d' % x.id)\\n else:\\n titles.append('item %d' % i)\\n fig = tools.make_subplots(rows=l, cols=1, subplot_titles = titles,print_grid=False )\\n #print('figure attmpt: ')\\n #fig['layout']['xaxis1'].update(title='monkeybar')\\n #for x in fig['layout']['xaxis1']:\\n #print(x)\\n fig.layout.showlegend = False\\n for i,x in enumerate(objs):\\n traces,annotations,title = func(x,images[i])\\n im = {\\n \\\"source\\\": 'data:image/png;base64, ' + getbase64(images[i]),\\n \\\"x\\\": 1,\\n \\\"y\\\": 1 - i/(l-.5),\\n \\\"sizex\\\": .5,\\n \\\"sizey\\\": .5,\\n }\\n fig.layout.images.append(im)\\n for t in traces:\\n fig.append_trace(t,i+1,1)\\n if title is not None:\\n fig.layout['xaxis%d' % (i+1)].update(title=title)\\n if annotations is not None:\\n for a in annotations:\\n a['xref'] = 'x%d' % (i+1)\\n a['yref'] = 'y%d' % (i+1)\\n fig.layout.annotations += annotations\\n\\n fig['layout'].update(height=400*l, width=1100, margin={\\n 'l':80,\\n 'r':330,\\n 't':100,\\n 'b':80,\\n 'pad':0,\\n 'autoexpand':True,\\n },title='plots')\\n\\n return fig\",\n \"def plotlyfromjson(fpath):\\n with open(fpath, 'r') as f:\\n v = json.loads(f.read().encode().decode())\\n\\n fig = go.Figure(data=v['data'], layout=v['layout'])\\n return fig\\n # iplot(fig, show_link=False)\",\n \"def figure(self):\\n if self._figure is None:\\n\\n self._figure, ax = plt.subplots(nrows=1, dpi=self._dpi)\\n if self._verbose:\\n print(f\\\" Figure dpi set to {self._dpi}\\\")\\n\\n self._figure.set_size_inches(self._size)\\n if self._verbose:\\n print(\\\" Figure size set to \\\" + str(self._size) + \\\" inches.\\\")\\n\\n for model in self._models:\\n xs, ys, _ = zip(*model._nodes)\\n\\n for face in model._elements:\\n xf = tuple(xs[k - 1] for k in face) # 1-base index to 0-base index\\n yf = tuple(ys[k - 1] for k in face)\\n # plt.fill(\\n # xf,\\n # yf,\\n # linestyle=\\\"dotted\\\",\\n # edgecolor=\\\"magenta\\\",\\n # alpha=0.5,\\n # facecolor=\\\"gray\\\",\\n # )\\n plt.fill(\\n xf,\\n yf,\\n alpha=model._alpha,\\n edgecolor=model._edgecolor,\\n facecolor=model._facecolor,\\n linestyle=model._linestyle,\\n linewidth=model._linewidth,\\n )\\n\\n if self._xticks:\\n ax.set_xticks(self._xticks)\\n\\n if self._yticks:\\n ax.set_yticks(self._yticks)\\n\\n if self._xlim:\\n ax.set_xlim(self._xlim)\\n\\n if self._ylim:\\n ax.set_ylim(self._ylim)\\n\\n if self._xlabel:\\n ax.set_xlabel(self._xlabel)\\n\\n if self._ylabel:\\n ax.set_ylabel(self._ylabel)\\n\\n # set frame on or off based on the Bool \\\"frame\\\" in .json input\\n ax.set_frame_on(b=self._frame)\\n if len(self._tick_params) > 0:\\n ax.tick_params(**self._tick_params)\\n\\n if self._display:\\n plt.show()\\n\\n if self._serialize:\\n self.serialize(self._folder, self._file)\\n\\n plt.close(\\\"all\\\")\\n self._figure = None\",\n \"def _draw_plot(self, *args, **kw):\\n # Simple compatibility with new-style rendering loop\\n return self._draw_component(*args, **kw)\",\n \"def empty_figure() -> object:\\n figure = go.Figure(go.Scatter(x=[], y=[]))\\n figure.update_layout(template=None)\\n figure.update_xaxes(showgrid=False, showticklabels=False, zeroline=False)\\n figure.update_yaxes(showgrid=False, showticklabels=False, zeroline=False)\\n\\n return figure\",\n \"def update_figure(picks, curve, active_well): \\n w = p.get_well(active_well) ##selects the correct welly.Well object\\n picks_df = pd.read_json(picks)\\n picks_selected = picks_df[picks_df['UWI'] == active_well.replace(' ', '-')]\\n \\n # regenerate figure with the new horizontal line\\n fig = helper.make_log_plot(w=w, ymin=ymin)# , resample=0.1) # resample needs a float to change basis\\n fig.update_layout(uirevision=active_well)\\n helper.update_picks_on_plot(fig, picks_selected)\\n \\n return fig\",\n \"def array_to_plot(points, resolution=(0.01872, 0.01872, 0.005), point_size=1.2, outfile_name=\\\"\\\"):\\n # Type in the path to your csv file here\\n \\n thedata = points\\n# print(thedata)\\n\\n # Set tupleResolution to resolution input parameter\\n tupleResolution = resolution;\\n\\n # EG: for Aut1367, the spacing is (0.01872, 0.01872, 0.005).\\n xResolution = tupleResolution[0]\\n yResolution = tupleResolution[1]\\n zResolution = tupleResolution[2]\\n # Now, to get the mm image size, we can multiply all x, y, z\\n # to get the proper mm size when plotting.\\n \\n# print('asdf')\\n# x = [x * xResolution for x in thedata[:, 0]]\\n# print(x)\\n\\n trace1 = graphobjs.Scatter3d(\\n x = [x * xResolution for x in thedata[:, 0]],\\n y = [x * yResolution for x in thedata[:, 1]],\\n z = [x * zResolution for x in thedata[:, 2]],\\n mode='markers',\\n marker=dict(\\n size=point_size,\\n color='cyan', # set color to an array/list of desired values\\n colorscale='Viridis', # choose a colorscale\\n opacity=0.15\\n )\\n )\\n\\n data = [trace1]\\n layout = graphobjs.Layout(\\n margin=dict(\\n l=0,\\n r=0,\\n b=0,\\n t=0\\n ),\\n paper_bgcolor='rgb(0,0,0)',\\n plot_bgcolor='rgb(0,0,0)'\\n )\\n\\n fig = graphobjs.Figure(data=data, layout=layout)\\n# print(self._token + \\\"plotly\\\")\\n\\n make_sure_path_exists('plots')\\n \\n if outfile_name == \\\"\\\":\\n plotly.offline.plot(fig, filename= 'plots/' + token + \\\"_plot.html\\\")\\n else:\\n plotly.offline.plot(fig, filename= 'plots/' + outfile_name + \\\"_plot.html\\\")\",\n \"def view(self, fig, id=None, small_ticks=True):\\n if small_ticks:\\n for ax in fig.get_axes():\\n axes.small_ticks(ax)\\n if not id:\\n id = self._get_unique_id()\\n image_filename = '%s.png' % id\\n full_filename = os.path.join(settings.FREECELL_DIR, 'temp', image_filename)\\n \\n def on_draw(event):\\n fig = event.canvas.figure\\n ax = fig.axes[0]\\n self.data_point1 = (0,0)\\n self.data_point2 = (1,1)\\n # The conversion between pixels and data is linear, so we try to get \\n # the line parameters. This has to be done in the draw event of the print.\\n # (Otherwise the transData misbehaves)\\n self.pixel_point1 = ax.transData.transform(self.data_point1)\\n self.pixel_point2 = ax.transData.transform(self.data_point2)\\n\\n \\n canvas = FigureCanvasAgg(fig)\\n canvas.mpl_connect('draw_event', on_draw)\\n canvas.print_figure(full_filename, dpi=DPI)\\n \\n data = {}\\n # The values calculated here are of the linear formula used to convert pixel to data point and vice versa.\\n # This is used by AreaSelect.\\n data['a_pixel_x'], data['b_pixel_x'] = get_line_parameters(self.data_point1[0], self.pixel_point1[0], self.data_point2[0], self.pixel_point2[0])\\n data['a_pixel_y'], data['b_pixel_y'] = get_line_parameters(self.data_point1[1], self.pixel_point1[1], self.data_point2[1], self.pixel_point2[1])\\n data['a_data_x'], data['b_data_x'] = get_line_parameters(self.pixel_point1[0], self.data_point1[0], self.pixel_point2[0], self.data_point2[0])\\n data['a_data_y'], data['b_data_y'] = get_line_parameters(self.pixel_point1[1], self.data_point1[1], self.pixel_point2[1], self.data_point2[1])\\n data['pixel_width'] = fig.get_size_inches()[0] * DPI\\n data['pixel_height'] = fig.get_size_inches()[1] * DPI\\n data['id'] = id\\n data['id_function'] = id.replace('-','_')\\n html = render('figure.html', data)\\n\\n with open(full_filename, 'rb') as f:\\n imgdata = f.read() \\n \\n return View(\\n self,\\n html,\\n [],\\n [],\\n {image_filename : imgdata})\",\n \"def __init__( self, container, id = -1, **kwargs ):\\n\\n self.ax = None\\n self.axline = None # axis line representing state\\n self.canvas = None\\n self.curSize = None\\n self.cursor = None\\n self.cursorLine = None # axis line following the cursor\\n self.cursorLine2 = None # axis line following the cursor\\n self.fig = None\\n self.timer = None\\n self.toolbar = None\\n\\n self.callbackIds = {}\\n #self.isLoaded = False\\n self.refAxis = kwargs.get( 'ref_axis', 'y' )\\n self.refAxis2 = kwargs.get( 'ref_axis2' )\\n self.showCursor = kwargs.get( 'show_cursor', True )\\n #self.stateIndex = -1\\n self.timeValue = -1.0\\n self.titleFontSize = 16\\n\\n super( PlotWidget, self ).__init__( container, id )\",\n \"def setup_figure(self):\\n \\n # connect ui widgets to measurement/hardware settings or functions\\n self.ui.start_pushButton.clicked.connect(self.start)\\n self.ui.interrupt_pushButton.clicked.connect(self.interrupt)\\n self.settings.save_h5.connect_to_widget(self.ui.save_h5_checkBox)\\n self.settings.save_movie.connect_to_widget(self.ui.save_movie_checkBox)\\n \\n # Set up pyqtgraph graph_layout in the UI\\n self.graph_layout=pg.GraphicsLayoutWidget()\\n self.ui.plot_groupBox.layout().addWidget(self.graph_layout)\\n \\n self.aux_graph_layout=pg.GraphicsLayoutWidget()\\n self.ui.aux_plot_groupBox.layout().addWidget(self.aux_graph_layout)\\n \\n self.camera_layout=pg.GraphicsLayoutWidget()\\n self.ui.camera_groupBox.layout().addWidget(self.camera_layout)\\n\\n # Create PlotItem object (a set of axes) \\n \\n self.plot1 = self.graph_layout.addPlot(row=1,col=1,title=\\\"Lick\\\")\\n self.plot2 = self.graph_layout.addPlot(row=2,col=1,title=\\\"breathing\\\")\\n\\n # Create PlotDataItem object ( a scatter plot on the axes )\\n self.breathing_plot = self.plot2.plot([0])\\n self.lick_plot_0 = self.plot1.plot([0])\\n self.lick_plot_1 = self.plot1.plot([1]) \\n \\n self.lick_plot_0.setPen('y')\\n self.lick_plot_1.setPen('g')\\n \\n self.T=np.linspace(0,10,10000)\\n self.k=0\\n \\n self.camera_view=pg.ViewBox()\\n self.camera_layout.addItem(self.camera_view)\\n self.camera_image=pg.ImageItem()\\n self.camera_view.addItem(self.camera_image)\",\n \"def create_figure(self):\\n plt.rcParams.update(general_utils.returnGraphConfigs(\\\"anim\\\"))\\n self.fig = plt.figure()\\n self.axes = plt.axes()\\n self.axes.set_xlabel(\\\"Cells In X (Columns)\\\")\\n self.axes.set_ylabel(\\\"Cells In Y (Rows)\\\")\\n self.axes.set_xlim(0, self.dimensions - 1)\\n self.axes.set_ylim(0, self.dimensions - 1)\",\n \"def plot_to_image(figure):\\n\\t# Save the plot to a PNG in memory.\\n\\tbuf = io.BytesIO()\\n\\tplt.savefig(buf, format='png')\\n\\t# Closing the figure prevents it from being displayed directly inside\\n\\t# the notebook.\\n\\tplt.close(figure)\\n\\tbuf.seek(0)\\n\\timage = PIL.Image.open(buf)\\n\\timage = transforms.ToTensor()(image)\\n\\treturn image\",\n \"def simple_plotly(net, respect_switches=True, use_line_geodata=None, on_map=False,\\n projection=None, map_style='basic', figsize=1, aspectratio='auto', line_width=1,\\n bus_size=10, ext_grid_size=20.0, bus_color=\\\"blue\\\", line_color='grey',\\n trafo_color='green', ext_grid_color=\\\"yellow\\\"):\\n # create geocoord if none are available\\n if 'line_geodata' not in net:\\n net.line_geodata = pd.DataFrame(columns=['coords'])\\n if 'bus_geodata' not in net:\\n net.bus_geodata = pd.DataFrame(columns=[\\\"x\\\",\\\"y\\\"])\\n if len(net.bus_geodata) == 0:\\n logger.warning(\\\"No or insufficient geodata available --> Creating artificial coordinates.\\\" +\\n \\\" This may take some time...\\\")\\n create_generic_coordinates(net, respect_switches=respect_switches)\\n if on_map == True:\\n logger.warning(\\\"Map plots not available with artificial coordinates and will be disabled!\\\")\\n on_map = False\\n\\n # check if geodata are real geographycal lat/lon coordinates using geopy\\n if on_map and projection is not None:\\n geo_data_to_latlong(net, projection=projection)\\n\\n # ----- Buses ------\\n # initializating bus trace\\n hoverinfo = get_hoverinfo(net, element=\\\"bus\\\")\\n bus_trace = create_bus_trace(net, net.bus.index, size=bus_size, color=bus_color, infofunc=hoverinfo)\\n\\n # ----- Lines ------\\n # if bus geodata is available, but no line geodata\\n if use_line_geodata is None:\\n use_line_geodata = False if len(net.line_geodata) == 0 else True\\n elif use_line_geodata and len(net.line_geodata) == 0:\\n logger.warning(\\\"No or insufficient line geodata available --> only bus geodata will be used.\\\")\\n use_line_geodata = False\\n\\n line_trace = create_line_trace(net, net.line.index, respect_switches=respect_switches,\\n color=line_color, width=line_width,\\n use_line_geodata=use_line_geodata)\\n line_center_trace = []\\n if use_line_geodata == False:\\n hoverinfo = get_hoverinfo(net, element=\\\"line\\\")\\n line_center_trace = create_edge_center_trace(line_trace, color=line_color, infofunc=hoverinfo)\\n\\n # ----- Trafos ------\\n trafo_trace = create_trafo_trace(net, color=trafo_color, width=line_width * 5)\\n trafo_center_trace = []\\n if use_line_geodata == False:\\n hoverinfo = get_hoverinfo(net, element=\\\"trafo\\\")\\n trafo_center_trace = create_edge_center_trace(trafo_trace, color=trafo_color, infofunc=hoverinfo)\\n\\n # ----- Ext grid ------\\n # get external grid from create_bus_trace\\n marker_type = 'circle' if on_map else 'square' # workaround because doesn't appear on mapbox if square\\n # hoverinfo = get_hoverinfo(net, element=\\\"ext_grid\\\")\\n ext_grid_trace = create_bus_trace(net, buses=net.ext_grid.bus,\\n color=ext_grid_color, size=ext_grid_size,\\n patch_type=marker_type, trace_name='external_grid', infofunc=hoverinfo)\\n\\n draw_traces(line_trace + trafo_trace + ext_grid_trace + bus_trace + line_center_trace + trafo_center_trace,\\n aspectratio=aspectratio, figsize=figsize, on_map=on_map, map_style=map_style)\",\n \"def plotMatrix(matrix:np.ndarray,if_log=False,title=\\\"Matrix\\\",plotType=\\\"static\\\",range_color=None,\\n axis2genome=False,genome_coord1=None,genome_coord2=None,resolution = None):\\n import plotly.express as px \\n from IPython.display import Image\\n\\n if(if_log == True): \\n matrix = np.log10(matrix)\\n\\n fig = px.imshow(matrix,color_continuous_scale=px.colors.sequential.Viridis,range_color=range_color)\\n fig = fig.update_layout(template='simple_white').update_layout(width=650,height=600)\\n\\n if (axis2genome):\\n import re\\n #manually change axis\\n posx = re.split(\\\"[:-]\\\",genome_coord2)\\n xvals = np.percentile([np.round(i) for i in range(0,matrix.shape[1])],(0,25,50,75,100),interpolation='midpoint')\\n xtexts = xvals*resolution + int(posx[1].replace(\\\",\\\",\\\"\\\")) + resolution/2\\n xtexts = [genomecoord2human(i) for i in xtexts]\\n\\n posy = re.split(\\\"[:-]\\\",genome_coord1)\\n yvals = np.percentile([np.round(i) for i in range(0,matrix.shape[0])],(0,25,50,75,100),interpolation='midpoint')\\n ytexts = yvals*resolution + int(posy[1].replace(\\\",\\\",\\\"\\\")) + resolution/2\\n ytexts = [genomecoord2human(i) for i in ytexts]\\n\\n fig = fig.update_xaxes(ticktext = xtexts,tickvals = xvals).update_yaxes(ticktext = ytexts,tickvals = yvals)\\n\\n if(plotType == \\\"interaction\\\"):\\n return fig\\n else : return Image(fig.to_image(format=\\\"png\\\", engine=\\\"kaleido\\\"))\",\n \"def subplot_to_figure(self):\\n if self.format is \\\"show\\\":\\n plt.show()\\n elif self.format is \\\"png\\\":\\n plt.savefig(self.path + self.filename + \\\".png\\\", bbox_inches=\\\"tight\\\")\",\n \"def send_fig(fig, name):\\n imgdata = BytesIO()\\n fig.savefig(imgdata, format='png')\\n imgdata.seek(0) # rewind the data\\n uri = 'data:image/png;base64,' + urllib.parse.quote(\\n base64.encodebytes(imgdata.getbuffer()))\\n send_action(\\\"update_plot\\\", params={\\\"src\\\": uri, \\\"name\\\": name})\",\n \"def figure4():\\n\\n plot_settings = {'y_limits': [-80, -50],\\n 'x_limits': None,\\n 'y_ticks': [-80, -70, -60, -50],\\n 'locator_size': 5,\\n 'y_label': 'Voltage (mV)',\\n 'x_ticks': [],\\n 'scale_size': 20,\\n 'x_label': \\\"\\\",\\n 'scale_loc': 4,\\n 'figure_name': 'figure_4',\\n 'legend': ['control', 'apamin'],\\n 'legend_size': 8,\\n 'y_on': True}\\n line_styles = ['-', 'dotted']\\n\\n plt.figure(figsize=(5, 3), dpi=96)\\n\\n plt.subplot(2, 1, 1) # Generate figure 1 (top)\\n for ix, g_sk_bar in enumerate([0.3, 0]):\\n t, y = solver(100, g_sk_bar=g_sk_bar)\\n plt.plot(t, y[:, 0], c='k', linestyle=line_styles[ix])\\n alter_figure(plot_settings) # Alter figure for publication\\n\\n plt.subplot(2, 1, 2)\\n t1 = 1200\\n t, y = solver(t1, t_start=50, duration=t1, i_bias_on=0.33, g_sk_bar=0.03)\\n plt.plot(t, y[:, 0], 'k-')\\n\\n plot_settings['y_limits'] = [-100, 30]\\n plot_settings['x_limits'] = [0, t1]\\n plot_settings['y_ticks'] = [-80, -60, -40, -20, 0, 20]\\n plot_settings['locator_size'] = 10\\n plot_settings['scale_size'] = 100\\n plot_settings['legend'] = None\\n alter_figure(plot_settings, close=True) # Alter plot for publication\",\n \"def plot_axes_on_fig(ax, fig=None, geometry=(1, 1, 1)):\\n if fig is None:\\n fig = plt.figure()\\n if ax.get_geometry() != geometry:\\n ax.change_geometry(*geometry)\\n axes = fig.axes.append(ax)\\n return fig, axes\",\n \"def create_figure_file():\\n\\n # Any plotly compliant dict or list that can be converted to json. You can use the Plotly python sdk to construct figures, by adding it to requirements.txt\\n fig = {\\\"data\\\": [{\\\"x\\\": [\\\"giraffes\\\", \\\"orangutans\\\", \\\"monkeys\\\"],\\n \\\"y\\\": [20, 14, 23],\\n \\\"type\\\": \\\"bar\\\"\\n }]}\\n\\n # Dump the dict to a plain text json file. Note that for more advanced data (e.g. including numpy arrays etc) you\\n # may wish to use the serialiser provided with the plotly library\\n name = analysis.output_dir + '/zoo_barchart.json'\\n with open(name, 'w') as outfile:\\n json.dump(fig, outfile)\\n\\n # You can either do this here, or in your main run() function definition (or basically anywhere else you like)...\\n # but you need to add the created file (which is part of the analysis results) to the output results manifest. In\\n # this case we do it here, which has the advantage of keeping file creation and manifesting together; but has the\\n # disadvantage of needing to modify your code to pass the analysis around. If you're unable to alter the API of your\\n # code; no problem - just do all your manifest creation separately (e.g. at the end of the run function)\\n fig_data = {'name': name,\\n 'short_caption': 'A shortened caption',\\n 'caption': 'A longer caption, perhaps including some description of why on earth we would want to see a bar chart of different zoo animals'}\\n # TODO add_to_manifest('figure', name, fig_data)\",\n \"def goplot(self, sender):\\n cube = self.cube_picker.value\\n if cube:\\n IPython.display.clear_output()\\n fig = plt.figure()\\n x_name = self.x_coord.value\\n y_name = self.y_coord.value\\n if (cube.coord(axis='X').name() == x_name and\\n cube.coord(axis='Y').name() == y_name):\\n projection = cube.coord_system().as_cartopy_projection()\\n ax = fig.add_subplot(111, projection=projection)\\n ax.coastlines()\\n else:\\n ax = fig.add_subplot(111)\\n conf = self.plot_type.value(cube, ax, coords=[x_name, y_name])\\n self.browser = cube_browser.Browser(conf)\\n self.browser.on_change(None)\\n self.plot_container.children = [self.browser.form]\",\n \"def setplot(plotdata):\\n#-------------------------- \\n\\n\\n plotdata.clearfigures() # clear any old figures,axes,items data\\n\\n # Figure for q[0]\\n plotfigure = plotdata.new_plotfigure(name='Pressure', figno=1)\\n\\n # Set up for axes in this figure:\\n plotaxes = plotfigure.new_plotaxes()\\n plotaxes.axescmd = 'subplot(211)'\\n \\n #plotaxes.xlimits = [0.,150.]\\n plotaxes.ylimits = [-1.,1.0]\\n plotaxes.title = 'Pressure'\\n\\n # Set up for item on these axes:\\n plotitem = plotaxes.new_plotitem(plot_type='1d_plot')\\n plotitem.plot_var = 0\\n plotitem.plotstyle = '-o'\\n plotitem.color = 'b'\\n plotitem.show = True # show on plot?\\n plotitem.kwargs = {'linewidth':2,'markersize':5}\\n \\n\\n\\n # Set up for axes in this figure:\\n plotaxes = plotfigure.new_plotaxes()\\n plotaxes.axescmd = 'subplot(212)'\\n plotaxes.xlimits = 'auto'\\n plotaxes.ylimits = [-1.,1.]\\n plotaxes.title = 'Velocity'\\n\\n # Set up for item on these axes:\\n plotitem = plotaxes.new_plotitem(plot_type='1d_plot')\\n plotitem.plot_var = 1\\n plotitem.plotstyle = '-'\\n plotitem.color = 'b'\\n plotitem.show = True # show on plot?\\n plotitem.kwargs = {'linewidth':3,'markersize':5}\\n \\n\\n # Parameters used only when creating html and/or latex hardcopy\\n # e.g., via visclaw.frametools.printframes:\\n\\n plotdata.printfigs = True # print figures\\n plotdata.print_format = 'png' # file format\\n plotdata.print_framenos = 'all' # list of frames to print\\n plotdata.print_fignos = 'all' # list of figures to print\\n plotdata.html = True # create html files of plots?\\n plotdata.html_homelink = '../README.html'\\n plotdata.latex = True # create latex file of plots?\\n plotdata.latex_figsperline = 2 # layout of plots\\n plotdata.latex_framesperline = 1 # layout of plots\\n plotdata.latex_makepdf = False # also run pdflatex?\\n\\n return plotdata\",\n \"def get_figure(file_owner_or_url, file_id=None, raw=False):\\n import plotly.tools\\n\\n plotly_rest_url = get_config()[\\\"plotly_domain\\\"]\\n if file_id is None: # assume we're using a url\\n url = file_owner_or_url\\n if url[: len(plotly_rest_url)] != plotly_rest_url:\\n raise _plotly_utils.exceptions.PlotlyError(\\n \\\"Because you didn't supply a 'file_id' in the call, \\\"\\n \\\"we're assuming you're trying to snag a figure from a url. \\\"\\n \\\"You supplied the url, '{0}', we expected it to start with \\\"\\n \\\"'{1}'.\\\"\\n \\\"\\\\nRun help on this function for more information.\\\"\\n \\\"\\\".format(url, plotly_rest_url)\\n )\\n head = plotly_rest_url + \\\"/~\\\"\\n file_owner = url.replace(head, \\\"\\\").split(\\\"/\\\")[0]\\n file_id = url.replace(head, \\\"\\\").split(\\\"/\\\")[1]\\n else:\\n file_owner = file_owner_or_url\\n try:\\n int(file_id)\\n except ValueError:\\n raise _plotly_utils.exceptions.PlotlyError(\\n \\\"The 'file_id' argument was not able to be converted into an \\\"\\n \\\"integer number. Make sure that the positional 'file_id' argument \\\"\\n \\\"is a number that can be converted into an integer or a string \\\"\\n \\\"that can be converted into an integer.\\\"\\n )\\n if int(file_id) < 0:\\n raise _plotly_utils.exceptions.PlotlyError(\\n \\\"The 'file_id' argument must be a non-negative number.\\\"\\n )\\n\\n fid = \\\"{}:{}\\\".format(file_owner, file_id)\\n response = v2.plots.content(fid, inline_data=True)\\n figure = response.json()\\n # Fix 'histogramx', 'histogramy', and 'bardir' stuff\\n for index, entry in enumerate(figure[\\\"data\\\"]):\\n try:\\n # Use xbins to bin data in x, and ybins to bin data in y\\n if all(\\n (entry[\\\"type\\\"] == \\\"histogramy\\\", \\\"xbins\\\" in entry, \\\"ybins\\\" not in entry)\\n ):\\n entry[\\\"ybins\\\"] = entry.pop(\\\"xbins\\\")\\n\\n # Convert bardir to orientation, and put the data into the axes\\n # it's eventually going to be used with\\n if entry[\\\"type\\\"] in [\\\"histogramx\\\", \\\"histogramy\\\"]:\\n entry[\\\"type\\\"] = \\\"histogram\\\"\\n if \\\"bardir\\\" in entry:\\n entry[\\\"orientation\\\"] = entry.pop(\\\"bardir\\\")\\n if entry[\\\"type\\\"] == \\\"bar\\\":\\n if entry[\\\"orientation\\\"] == \\\"h\\\":\\n _swap_xy_data(entry)\\n if entry[\\\"type\\\"] == \\\"histogram\\\":\\n if (\\\"x\\\" in entry) and (\\\"y\\\" not in entry):\\n if entry[\\\"orientation\\\"] == \\\"h\\\":\\n _swap_xy_data(entry)\\n del entry[\\\"orientation\\\"]\\n if (\\\"y\\\" in entry) and (\\\"x\\\" not in entry):\\n if entry[\\\"orientation\\\"] == \\\"v\\\":\\n _swap_xy_data(entry)\\n del entry[\\\"orientation\\\"]\\n figure[\\\"data\\\"][index] = entry\\n except KeyError:\\n pass\\n\\n # Remove stream dictionary if found in a data trace\\n # (it has private tokens in there we need to hide!)\\n for index, entry in enumerate(figure[\\\"data\\\"]):\\n if \\\"stream\\\" in entry:\\n del figure[\\\"data\\\"][index][\\\"stream\\\"]\\n\\n if raw:\\n return figure\\n return plotly.tools.get_graph_obj(figure, obj_type=\\\"Figure\\\")\",\n \"def render_pylab(figure, fmt=\\\"jpg\\\"):\\n if not callable(getattr(figure, \\\"savefig\\\", None)):\\n return None\\n output = StringIO()\\n figure.savefig(output, format=fmt)\\n contents = output.getvalue()\\n output.close()\\n return contents, \\\"image/%s\\\" % fmt\",\n \"def figure():\\n fig = plt.figure()\\n ax = fig.add_subplot()\\n ax.set_aspect('equal')\\n return fig, ax\",\n \"def update_plot():\\n pass\",\n \"def run(self):\\n # fill the x_values,y_values,z_values dictionaries\\n if not self.__fillCoordinatesFromSource():\\n self.raiseAWarning('Nothing to Plot Yet. Returning.')\\n return\\n\\n self.counter += 1\\n if self.counter > 1:\\n self.actcm = None\\n clusterDict = deepcopy(self.outStreamTypes)\\n\\n # start plotting.... loop over the plots that need to be included in this figure\\n for pltIndex in range(len(self.outStreamTypes)):\\n plotSettings = self.options['plotSettings']['plot'][pltIndex]\\n if 'gridLocation' in plotSettings:\\n x = None\\n y = None\\n if 'x' in plotSettings['gridLocation']:\\n x = list(map(int, plotSettings['gridLocation']['x'].strip().split(' ')))\\n else:\\n x = None\\n if 'y' in plotSettings['gridLocation'].keys():\\n y = list(map(int, plotSettings['gridLocation']['y'].strip().split(' ')))\\n else:\\n y = None\\n if pltIndex == 0:\\n self.ax.remove() # remove axis so that there is not an extra axis on plot with subplots\\n if (len(x) == 1 and len(y) == 1):\\n if self.dim == 2:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]])\\n else:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]], projection='3d')\\n elif (len(x) == 1 and len(y) != 1):\\n if self.dim == 2:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]:y[-1]])\\n else:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0], y[0]:y[-1]], projection='3d')\\n elif (len(x) != 1 and len(y) == 1):\\n if self.dim == 2:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]])\\n else:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]], projection='3d')\\n else:\\n if self.dim == 2:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]:y[-1]])\\n else:\\n self.ax = self.fig.add_subplot(self.gridSpace[x[0]:x[-1], y[0]:y[-1]], projection='3d')\\n\\n if 'gridSpace' in self.options['plotSettings']:\\n self.ax.locator_params(axis='y', nbins=4)\\n self.ax.locator_params(axis='x', nbins=2)\\n if 'range' in plotSettings:\\n axes_range = plotSettings['range']\\n if 'ymin' in axes_range:\\n self.ax.set_ylim(bottom=ast.literal_eval(axes_range['ymin']))\\n if 'ymax' in axes_range:\\n self.ax.set_ylim(top=ast.literal_eval(axes_range['ymax']))\\n if 'xmin' in axes_range:\\n self.ax.set_xlim(left=ast.literal_eval(axes_range['xmin']))\\n if 'xmax' in axes_range:\\n self.ax.set_xlim(right=ast.literal_eval(axes_range['xmax']))\\n if self.dim == 3:\\n if 'zmin' in axes_range.options['plotSettings']['plot'][pltIndex]:\\n if 'zmax' not in axes_range.options['plotSettings']:\\n self.raiseAWarning('zmin inputted but not zmax. zmin ignored! ')\\n else:\\n self.ax.set_zlim(bottom=ast.literal_eval(axes_range['zmin']), top=ast.literal_eval(self.options['plotSettings']['zmax']))\\n if 'zmax' in axes_range:\\n if 'zmin' not in axes_range:\\n self.raiseAWarning('zmax inputted but not zmin. zmax ignored! ')\\n else:\\n self.ax.set_zlim(bottom=ast.literal_eval(axes_range['zmin']), top=ast.literal_eval(axes_range['zmax']))\\n if 'xlabel' not in plotSettings:\\n self.ax.set_xlabel('x')\\n else:\\n self.ax.set_xlabel(plotSettings['xlabel'])\\n if 'ylabel' not in plotSettings:\\n self.ax.set_ylabel('y')\\n else:\\n self.ax.set_ylabel(plotSettings['ylabel'])\\n if 'zlabel' in plotSettings:\\n if self.dim == 2:\\n self.raiseAWarning('zlabel keyword does not make sense in 2-D Plots!')\\n elif self.dim == 3 and self.zCoordinates:\\n self.ax.set_zlabel(plotSettings['zlabel'])\\n elif self.dim == 3 and self.zCoordinates:\\n self.ax.set_zlabel('z')\\n else:\\n if 'xlabel' not in self.options['plotSettings']:\\n self.ax.set_xlabel('x')\\n else:\\n self.ax.set_xlabel(self.options['plotSettings']['xlabel'])\\n if 'ylabel' not in self.options['plotSettings']:\\n self.ax.set_ylabel('y')\\n else:\\n self.ax.set_ylabel(self.options['plotSettings']['ylabel'])\\n if 'zlabel' in self.options['plotSettings']:\\n if self.dim == 2:\\n self.raiseAWarning('zlabel keyword does not make sense in 2-D Plots!')\\n elif self.dim == 3 and self.zCoordinates:\\n self.ax.set_zlabel(self.options['plotSettings']['zlabel'])\\n elif self.dim == 3 and self.zCoordinates:\\n self.ax.set_zlabel('z')\\n\\n if 'legend' in self.options['plotSettings']:\\n if 'label' not in plotSettings.get('attributes', {}):\\n if 'attributes' not in plotSettings:\\n plotSettings['attributes'] = {}\\n plotSettings['attributes']['label'] = self.outStreamTypes[pltIndex] + ' ' + str(pltIndex)\\n #################\\n # SCATTER PLOT #\\n #################\\n self.raiseADebug(f'creating plot {self.name}')\\n if self.outStreamTypes[pltIndex] == 'scatter':\\n if 's' not in plotSettings:\\n plotSettings['s'] = '20'\\n if 'c' not in plotSettings:\\n plotSettings['c'] = 'b'\\n if 'marker' not in plotSettings:\\n plotSettings['marker'] = 'o'\\n if 'alpha' not in plotSettings:\\n plotSettings['alpha'] = 'None'\\n if 'linewidths' not in plotSettings:\\n plotSettings['linewidths'] = 'None'\\n if self.colorMapCoordinates[pltIndex] is not None:\\n # Find the max and min colormap values\\n firstKey = utils.first(self.xValues[pltIndex].keys())\\n vmin = np.amin(self.colorMapValues[pltIndex][firstKey])\\n vmax = np.amax(self.colorMapValues[pltIndex][firstKey])\\n for key in self.xValues[pltIndex]:\\n vmin = min(vmin,np.amin(self.colorMapValues[pltIndex][key]))\\n vmax = max(vmax,np.amax(self.colorMapValues[pltIndex][key]))\\n plotSettings['norm'] = matplotlib.colors.Normalize(vmin,vmax)\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n scatterPlotOptions = {'s': ast.literal_eval(plotSettings['s']),\\n 'marker': (plotSettings['marker']),\\n 'alpha': ast.literal_eval(plotSettings['alpha']),\\n 'linewidths': ast.literal_eval(plotSettings['linewidths'])}\\n if self.colorMapCoordinates[pltIndex] is not None:\\n scatterPlotOptions['norm'] = plotSettings['norm']\\n scatterPlotOptions.update(plotSettings.get('attributes', {}))\\n if self.dim == 2:\\n if self.colorMapCoordinates[pltIndex] is not None:\\n scatterPlotOptions['c'] = self.colorMapValues[pltIndex][key][xIndex]\\n scatterPlotOptions['cmap'] = matplotlib.cm.get_cmap(\\\"winter\\\")\\n if self.actcm:\\n first = False\\n else:\\n first = True\\n if plotSettings['cmap'] == 'None':\\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n **scatterPlotOptions)\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n try:\\n self.actcm.draw_all()\\n # this is not good, what exception will be thrown?\\n except:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n scatterPlotOptions['cmap'] = plotSettings['cmap']\\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n **scatterPlotOptions)\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m, ax=self.ax)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\\n self.actcm.draw_all()\\n else:\\n if 'color' not in scatterPlotOptions:\\n scatterPlotOptions['c'] = plotSettings['c']\\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n **scatterPlotOptions)\\n else:\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n if self.colorMapCoordinates[pltIndex] is not None:\\n scatterPlotOptions['c'] = self.colorMapValues[pltIndex][key][zIndex]\\n if self.actcm:\\n first = False\\n else:\\n first = True\\n if plotSettings['cmap'] == 'None':\\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex], **scatterPlotOptions)\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n self.actcm.draw_all()\\n else:\\n scatterPlotOptions['cmap'] = plotSettings['cmap']\\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex], **scatterPlotOptions)\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\\n self.actcm.draw_all()\\n else:\\n if 'color' not in scatterPlotOptions:\\n scatterPlotOptions['c'] = plotSettings['c']\\n self.actPlot = self.ax.scatter(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex], **scatterPlotOptions)\\n #################\\n # LINE PLOT #\\n #################\\n elif self.outStreamTypes[pltIndex] == 'line':\\n minV = 0\\n maxV = 0\\n # If the user does not define an appropriate cmap, then use matplotlib's default.\\n if 'cmap' not in plotSettings or plotSettings['cmap'] not in matplotlib.cm.datad:\\n plotSettings['cmap'] = None\\n if bool(self.colorMapValues):\\n for key in self.xValues[pltIndex]:\\n minV = min(minV,self.colorMapValues[pltIndex][key][-1][-1])\\n maxV = max(maxV,self.colorMapValues[pltIndex][key][-1][-1])\\n cmap = matplotlib.cm.ScalarMappable(matplotlib.colors.Normalize(minV, maxV, True), plotSettings['cmap'])\\n cmap.set_array([minV,maxV])\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n if self.colorMapCoordinates[pltIndex] is not None:\\n plotSettings['interpPointsX'] = str(max(200, len(self.xValues[pltIndex][key][xIndex])))\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n if self.dim == 2:\\n if self.yValues[pltIndex][key][yIndex].size < 2:\\n return\\n xi, yi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], plotSettings, returnCoordinate=True)\\n if self.colorMapCoordinates[pltIndex] is not None:\\n self.ax.plot(xi, yi, c=cmap.cmap(self.colorMapValues[pltIndex][key][-1][-1]/(maxV-minV)))\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if self.actcm is None:\\n self.actcm = self.fig.colorbar(cmap)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n self.actcm.draw_all()\\n else:\\n self.actPlot = self.ax.plot(xi, yi, **plotSettings.get('attributes', {}))\\n else:\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n if self.zValues[pltIndex][key][zIndex].size <= 3:\\n return\\n if self.colorMapCoordinates[pltIndex] is not None:\\n self.ax.plot(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n self.zValues[pltIndex][key][zIndex],\\n c=cmap.cmap(self.colorMapValues[pltIndex][key][-1][-1]/(maxV-minV)))\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if self.actcm is None:\\n self.actcm = self.fig.colorbar(cmap)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n self.actcm.draw_all()\\n else:\\n self.actPlot = self.ax.plot(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n self.zValues[pltIndex][key][zIndex],\\n **plotSettings.get('attributes', {}))\\n ##################\\n # HISTOGRAM PLOT #\\n ##################\\n elif self.outStreamTypes[pltIndex] == 'histogram':\\n if 'bins' not in plotSettings:\\n if self.dim == 2:\\n plotSettings['bins'] = '10'\\n else:\\n plotSettings['bins'] = '4'\\n if 'normed' not in plotSettings:\\n plotSettings['normed'] = 'False'\\n if 'weights' not in plotSettings:\\n plotSettings['weights'] = 'None'\\n if 'cumulative' not in plotSettings:\\n plotSettings['cumulative'] = 'False'\\n if 'histtype' not in plotSettings:\\n plotSettings['histtype'] = 'bar'\\n if 'align' not in plotSettings:\\n plotSettings['align'] = 'mid'\\n if 'orientation' not in plotSettings:\\n plotSettings['orientation'] = 'vertical'\\n if 'rwidth' not in plotSettings:\\n plotSettings['rwidth'] = 'None'\\n if 'log' not in plotSettings:\\n plotSettings['log'] = 'None'\\n if 'color' not in plotSettings:\\n plotSettings['color'] = 'b'\\n if 'stacked' not in plotSettings:\\n plotSettings['stacked'] = 'None'\\n if self.sourceData[0].type.strip() == 'HistorySet':\\n #####################################################################################################################################\\n # @MANDD: This 'if' condition has been added in order to allow the user the correctly create an histogram out of an historySet #\\n # If the histogram is created out of the input variables, then the plot has an identical meaning of the one generated by a pointSet #\\n # However, if the histogram is created out of the output variables, then the plot consider only the last value of the array #\\n #####################################################################################################################################\\n data = {}\\n data['x'] = np.empty(0)\\n data['y'] = np.empty(0)\\n for index in range(len(self.outStreamTypes)):\\n for key in self.xValues[index]:\\n data['x'] = np.append(data['x'], self.xValues[index][key][0][-1])\\n if self.dim == 3:\\n data['y'] = np.append(data['y'], self.yValues[index][key][0][-1])\\n del self.xValues[index]\\n self.xValues = {}\\n self.xValues[index] = {}\\n self.xValues[index][0] = []\\n self.xValues[index][0].append(deepcopy(data['x']))\\n if self.dim == 3:\\n del self.yValues[index]\\n self.yValues = {}\\n self.yValues[index] ={ }\\n self.yValues[index][0] = []\\n self.yValues[index][0].append(deepcopy(data['y']))\\n\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n try:\\n colorss = ast.literal_eval(plotSettings['color'])\\n # unknown what specific error is anticipated here, but I don't like a bare except...\\n # ast.literal_eval can raise the exceptions listed below (see library docs):\\n except (ValueError, TypeError, SyntaxError, MemoryError, RecursionError):\\n colorss = plotSettings['color']\\n if self.dim == 2:\\n self.ax.hist(self.xValues[pltIndex][key][xIndex],\\n bins=ast.literal_eval(plotSettings['bins']),\\n density=ast.literal_eval(plotSettings['normed']),\\n weights=ast.literal_eval(plotSettings['weights']),\\n cumulative=ast.literal_eval(plotSettings['cumulative']),\\n histtype=plotSettings['histtype'],\\n align=plotSettings['align'],\\n orientation=plotSettings['orientation'],\\n rwidth=ast.literal_eval(plotSettings['rwidth']),\\n log=ast.literal_eval(plotSettings['log']),\\n color=colorss,\\n stacked=ast.literal_eval(plotSettings['stacked']),\\n **plotSettings.get('attributes', {}))\\n else:\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n hist, xedges, yedges = np.histogram2d(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n bins=ast.literal_eval(plotSettings['bins']))\\n elements = (len(xedges) - 1) * (len(yedges) - 1)\\n if 'x_offset' in plotSettings:\\n xoffset = float(plotSettings['x_offset'])\\n else:\\n xoffset = 0.25\\n if 'y_offset' in plotSettings:\\n yoffset = float(plotSettings['y_offset'])\\n else:\\n yoffset = 0.25\\n if 'dx' in plotSettings:\\n dxs = float(plotSettings['dx'])\\n else:\\n dxs = (self.xValues[pltIndex][key][xIndex].max() - self.xValues[pltIndex][key][xIndex].min()) / float(plotSettings['bins'])\\n if 'dy' in plotSettings:\\n dys = float(plotSettings['dy'])\\n else:\\n dys = (self.yValues[pltIndex][key][yIndex].max() - self.yValues[pltIndex][key][yIndex].min()) / float(plotSettings['bins'])\\n xpos, ypos = np.meshgrid(xedges[:-1] + xoffset, yedges[:-1] + yoffset)\\n self.actPlot = self.ax.bar3d(xpos.flatten(),\\n ypos.flatten(),\\n np.zeros(elements),\\n dxs*np.ones_like(elements),\\n dys*np.ones_like(elements),\\n hist.flatten(),\\n color=colorss,\\n zsort='average',\\n **plotSettings.get('attributes', {}))\\n ##################\\n # STEM PLOT #\\n ##################\\n elif self.outStreamTypes[pltIndex] == 'stem':\\n if 'linefmt' not in plotSettings:\\n plotSettings['linefmt'] = 'b-'\\n if 'markerfmt' not in plotSettings:\\n plotSettings['markerfmt'] = 'bo'\\n if 'basefmt' not in plotSettings:\\n plotSettings['basefmt'] = 'r-'\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n if self.dim == 2:\\n self.actPlot = self.ax.stem(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n linefmt=plotSettings['linefmt'],\\n markerfmt=plotSettings['markerfmt'],\\n basefmt = plotSettings['linefmt'],\\n use_line_collection=True,\\n **plotSettings.get('attributes', {}))\\n else:\\n # it is a basic stem plot constructed using a standard line plot. For now we do not use the previous defined keywords...\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n for xx, yy, zz in zip(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], self.zValues[pltIndex][key][zIndex]):\\n self.ax.plot([xx, xx], [yy, yy], [0, zz], '-')\\n ##################\\n # STEP PLOT #\\n ##################\\n elif self.outStreamTypes[pltIndex] == 'step':\\n if self.dim == 2:\\n if 'where' not in plotSettings:\\n plotSettings['where'] = 'mid'\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n if self.xValues[pltIndex][key][xIndex].size < 2:\\n xi = self.xValues[pltIndex][key][xIndex]\\n else:\\n xi = np.linspace(self.xValues[pltIndex][key][xIndex].min(), self.xValues[pltIndex][key][xIndex].max(), ast.literal_eval(plotSettings['interpPointsX']))\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n if self.yValues[pltIndex][key][yIndex].size <= 3:\\n return\\n yi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex], self.yValues[pltIndex][key][yIndex], plotSettings)\\n self.actPlot = self.ax.step(xi, yi, where=plotSettings['where'], **plotSettings.get('attributes', {}))\\n else:\\n self.raiseAWarning('step Plot not available in 3D')\\n return\\n ########################\\n # PSEUDOCOLOR PLOT #\\n ########################\\n elif self.outStreamTypes[pltIndex] == 'pseudocolor':\\n if self.dim == 2:\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n # Hopefully, x,y, and z are all the same length, so checking this\\n # here should be good enough.\\n # The problem is you cannot interpolate any amount of space if\\n # you only have a single data point.\\n if self.xValues[pltIndex][key][xIndex].size == 1:\\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\\n continue\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n if not self.colorMapCoordinates:\\n self.raiseAMessage('pseudocolor Plot needs coordinates for color map... Returning without plotting')\\n return\\n for zIndex in range(len(self.colorMapValues[pltIndex][key])):\\n if self.colorMapValues[pltIndex][key][zIndex].size <= 3:\\n return\\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n plotSettings,\\n z=self.colorMapValues[pltIndex][key][zIndex],\\n returnCoordinate=True)\\n if plotSettings['cmap'] == 'None':\\n self.actPlot = self.ax.pcolormesh(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n **plotSettings.get('attributes', {}))\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n else:\\n self.actPlot = self.ax.pcolormesh(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\\n **plotSettings.get('attributes', {}))\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(ma.masked_where(np.isnan(Ci), Ci))\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n actcm = self.fig.colorbar(m)\\n actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n self.raiseAWarning('pseudocolor Plot is considered a 2D plot, not a 3D!')\\n return\\n ########################\\n # SURFACE PLOT #\\n ########################\\n elif self.outStreamTypes[pltIndex] == 'surface':\\n if self.dim == 2:\\n self.raiseAWarning('surface Plot is NOT available for 2D plots, IT IS A 3D!')\\n return\\n else:\\n if 'rstride' not in plotSettings:\\n plotSettings['rstride'] = '1'\\n if 'cstride' not in plotSettings:\\n plotSettings['cstride'] = '1'\\n if 'antialiased' not in plotSettings:\\n plotSettings['antialiased'] = 'False'\\n if 'linewidth' not in plotSettings:\\n plotSettings['linewidth'] = '0'\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n # Hopefully, x,y, and z are all the same length, so checking this\\n # here should be good enough.\\n # The problem is you cannot interpolate any amount of space if\\n # you only have a single data point.\\n if self.xValues[pltIndex][key][xIndex].size == 1:\\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\\n continue\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n if self.zValues[pltIndex][key][zIndex].size <= 3:\\n return\\n if self.colorMapCoordinates[pltIndex] is not None:\\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n plotSettings,\\n z=self.colorMapValues[pltIndex][key][zIndex],\\n returnCoordinate=True)\\n xig, yig, zi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n plotSettings,\\n z=self.zValues[pltIndex][key][zIndex],\\n returnCoordinate=True)\\n if self.colorMapCoordinates[pltIndex] is not None:\\n if self.actcm:\\n first = False\\n else:\\n first = True\\n if plotSettings['cmap'] == 'None':\\n plotSettings['cmap'] = 'jet'\\n self.actPlot = self.ax.plot_surface(xig,\\n yig,\\n ma.masked_where(np.isnan(zi), zi),\\n rstride=ast.literal_eval(plotSettings['rstride']),\\n cstride=ast.literal_eval(plotSettings['cstride']),\\n facecolors=matplotlib.cm.get_cmap(name=plotSettings['cmap'])(ma.masked_where(np.isnan(Ci), Ci)),\\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\\n linewidth=ast.literal_eval(plotSettings['linewidth']),\\n antialiased=ast.literal_eval(plotSettings['antialiased']),\\n **plotSettings.get('attributes', {}))\\n if first:\\n self.actPlot.cmap = matplotlib.cm.get_cmap(name=plotSettings['cmap'])\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_clim(vmin=min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\\n self.actcm.draw_all()\\n else:\\n if plotSettings['cmap'] == 'None':\\n self.actPlot = self.ax.plot_surface(xig,\\n yig,\\n ma.masked_where(np.isnan(zi), zi),\\n rstride=ast.literal_eval(plotSettings['rstride']),\\n cstride=ast.literal_eval(plotSettings['cstride']),\\n linewidth=ast.literal_eval(plotSettings['linewidth']),\\n antialiased=ast.literal_eval(plotSettings['antialiased']),\\n **plotSettings.get('attributes', {}))\\n if 'color' in plotSettings.get('attributes', {}):\\n self.actPlot.set_color = plotSettings.get('attributes', {})['color']\\n else:\\n self.actPlot.set_color = 'blue'\\n else:\\n self.actPlot = self.ax.plot_surface(xig,\\n yig,\\n ma.masked_where(np.isnan(zi), zi),\\n rstride=ast.literal_eval(plotSettings['rstride']),\\n cstride=ast.literal_eval(plotSettings['cstride']),\\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\\n linewidth=ast.literal_eval(plotSettings['linewidth']),\\n antialiased=ast.literal_eval(plotSettings['antialiased']),\\n **plotSettings.get('attributes', {}))\\n ########################\\n # TRI-SURFACE PLOT #\\n ########################\\n elif self.outStreamTypes[pltIndex] == 'tri-surface':\\n if self.dim == 2:\\n self.raiseAWarning('TRI-surface Plot is NOT available for 2D plots, it is 3D!')\\n return\\n else:\\n if 'color' not in plotSettings:\\n plotSettings['color'] = 'b'\\n if 'shade' not in plotSettings:\\n plotSettings['shade'] = 'False'\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n # Hopefully, x,y, and z are all the same length, so checking this\\n # here should be good enough.\\n # The problem is you cannot interpolate any amount of space if\\n # you only have a single data point.\\n if self.xValues[pltIndex][key][xIndex].size == 1:\\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\\n continue\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n metric = (self.xValues[pltIndex][key][xIndex] ** 2 + self.yValues[pltIndex][key][yIndex] ** 2) ** 0.5\\n metricIndeces = np.argsort(metric)\\n xs = np.zeros(self.xValues[pltIndex][key][xIndex].shape)\\n ys = np.zeros(self.yValues[pltIndex][key][yIndex].shape)\\n zs = np.zeros(self.zValues[pltIndex][key][zIndex].shape)\\n for sindex in range(len(metricIndeces)):\\n xs[sindex] = self.xValues[pltIndex][key][xIndex][metricIndeces[sindex]]\\n ys[sindex] = self.yValues[pltIndex][key][yIndex][metricIndeces[sindex]]\\n zs[sindex] = self.zValues[pltIndex][key][zIndex][metricIndeces[sindex]]\\n surfacePlotOptions = {'color': plotSettings['color'],\\n 'shade': ast.literal_eval(plotSettings['shade'])}\\n surfacePlotOptions.update(plotSettings.get('attributes', {}))\\n if self.zValues[pltIndex][key][zIndex].size <= 3:\\n return\\n if self.colorMapCoordinates[pltIndex] is not None:\\n if self.actcm:\\n first = False\\n else:\\n first = True\\n if plotSettings['cmap'] == 'None':\\n plotSettings['cmap'] = 'jet'\\n surfacePlotOptions['cmap'] = matplotlib.cm.get_cmap(name = plotSettings['cmap'])\\n self.actPlot = self.ax.plot_trisurf(xs, ys, zs, **surfacePlotOptions)\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n self.actPlot.cmap = matplotlib.cm.get_cmap(name=plotSettings['cmap'])\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_clim(vmin=min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\\n self.actcm.draw_all()\\n else:\\n if plotSettings['cmap'] != 'None':\\n surfacePlotOptions[\\\"cmap\\\"] = matplotlib.cm.get_cmap(name=plotSettings['cmap'])\\n self.actPlot = self.ax.plot_trisurf(xs, ys, zs, **surfacePlotOptions)\\n ########################\\n # WIREFRAME PLOT #\\n ########################\\n elif self.outStreamTypes[pltIndex] == 'wireframe':\\n if self.dim == 2:\\n self.raiseAWarning('wireframe Plot is NOT available for 2D plots, IT IS A 3D!')\\n return\\n else:\\n if 'rstride' not in plotSettings:\\n plotSettings['rstride'] = '1'\\n if 'cstride' not in plotSettings:\\n plotSettings['cstride'] = '1'\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n # Hopefully, x,y, and z are all the same length, so checking this\\n # here should be good enough.\\n # The problem is you cannot interpolate any amount of space if\\n # you only have a single data point.\\n if self.xValues[pltIndex][key][xIndex].size == 1:\\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\\n continue\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n if self.zValues[pltIndex][key][zIndex].size <= 3:\\n return\\n if self.colorMapCoordinates[pltIndex] is not None:\\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n plotSettings,\\n z=self.colorMapValues[pltIndex][key][zIndex],\\n returnCoordinate=True)\\n xig, yig, zi = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n plotSettings,\\n z=self.zValues[pltIndex][key][zIndex],\\n returnCoordinate=True)\\n if self.colorMapCoordinates[pltIndex] is not None:\\n self.raiseAWarning(f'Currently, ax.plot_wireframe() in MatPlotLib version: {matplotlib.__version__} does not support a colormap! Wireframe plotted on a surface plot...')\\n if self.actcm:\\n first = False\\n else:\\n first = True\\n if plotSettings['cmap'] == 'None':\\n plotSettings['cmap'] = 'jet'\\n self.actPlot = self.ax.plot_wireframe(xig,\\n yig,\\n ma.masked_where(np.isnan(zi), zi),\\n rstride=ast.literal_eval(plotSettings['rstride']),\\n cmap=matplotlib.cm.get_cmap(name = plotSettings['cmap']),\\n cstride=ast.literal_eval(plotSettings['cstride']),\\n **plotSettings.get('attributes', {}))\\n self.actPlot = self.ax.plot_surface(xig,\\n yig,\\n ma.masked_where(np.isnan(zi), zi),\\n alpha=0.4,\\n rstride=ast.literal_eval(plotSettings['rstride']),\\n cmap=matplotlib.cm.get_cmap(name=plotSettings['cmap']),\\n cstride=ast.literal_eval(plotSettings['cstride']),\\n **plotSettings.get('attributes', {}))\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_array(self.colorMapValues[pltIndex][key])\\n self.actcm = self.fig.colorbar(m)\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n m = matplotlib.cm.ScalarMappable(cmap=self.actPlot.cmap, norm=self.actPlot.norm)\\n m.set_clim(vmin=min(self.colorMapValues[pltIndex][key][-1]), vmax=max(self.colorMapValues[pltIndex][key][-1]))\\n self.actcm.draw_all()\\n else:\\n if plotSettings['cmap'] == 'None':\\n self.actPlot = self.ax.plot_wireframe(xig,\\n yig,\\n ma.masked_where(np.isnan(zi), zi),\\n rstride=ast.literal_eval(plotSettings['rstride']),\\n cstride=ast.literal_eval(plotSettings['cstride']),\\n **plotSettings.get('attributes', {}))\\n if 'color' in plotSettings.get('attributes', {}):\\n self.actPlot.set_color = plotSettings.get('attributes', {})['color']\\n else:\\n self.actPlot.set_color = 'blue'\\n else:\\n self.actPlot = self.ax.plot_wireframe(xig,\\n yig,\\n ma.masked_where(np.isnan(zi), zi),\\n rstride=ast.literal_eval(plotSettings['rstride']),\\n cstride=ast.literal_eval(plotSettings['cstride']),\\n **plotSettings.get('attributes', {}))\\n ########################\\n # CONTOUR PLOT #\\n ########################\\n elif self.outStreamTypes[pltIndex] == 'contour' or self.outStreamTypes[pltIndex] == 'filledContour':\\n if self.dim == 2:\\n if 'numberBins' in plotSettings:\\n nbins = int(plotSettings['numberBins'])\\n else:\\n nbins = 5\\n for key in self.xValues[pltIndex]:\\n if not self.colorMapCoordinates:\\n self.raiseAWarning(self.outStreamTypes[pltIndex] + ' Plot needs coordinates for color map... Returning without plotting')\\n return\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n # Hopefully, x,y, and z are all the same length, so checking this\\n # here should be good enough.\\n # The problem is you cannot interpolate any amount of space if\\n # you only have a single data point.\\n if self.xValues[pltIndex][key][xIndex].size == 1:\\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\\n continue\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n for zIndex in range(len(self.colorMapValues[pltIndex][key])):\\n if self.actcm:\\n first = False\\n else:\\n first = True\\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n plotSettings,\\n z=self.colorMapValues[pltIndex][key][zIndex],\\n returnCoordinate=True)\\n if self.outStreamTypes[pltIndex] == 'contour':\\n if plotSettings['cmap'] == 'None':\\n if 'color' in plotSettings.get('attributes', {}):\\n color = plotSettings.get('attributes', {})['color']\\n else:\\n color = 'blue'\\n self.actPlot = self.ax.contour(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n nbins,\\n colors=color,\\n **plotSettings.get('attributes', {}))\\n else:\\n self.actPlot = self.ax.contour(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n nbins,\\n **plotSettings.get('attributes', {}))\\n else:\\n if plotSettings['cmap'] == 'None':\\n plotSettings['cmap'] = 'jet'\\n self.actPlot = self.ax.contourf(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n nbins,\\n **plotSettings.get('attributes', {}))\\n self.ax.clabel(self.actPlot, inline=1, fontsize=10)\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n self.actcm = self.fig.colorbar(self.actPlot, shrink=0.8, extend='both')\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax = max(self.colorMapValues[pltIndex][key][-1]))\\n self.actcm.draw_all()\\n else:\\n self.raiseAWarning('contour/filledContour is a 2-D plot, where x,y are the surface coordinates and colorMap vector is the array to visualize!\\\\n contour3D/filledContour3D are 3-D! ')\\n return\\n # These should be combined: ^^^ & vvv\\n elif self.outStreamTypes[pltIndex] == 'contour3D' or self.outStreamTypes[pltIndex] == 'filledContour3D':\\n if self.dim == 2:\\n self.raiseAWarning('contour3D/filledContour3D Plot is NOT available for 2D plots, IT IS A 2D! Check \\\"contour/filledContour\\\"!')\\n return\\n else:\\n if 'numberBins' in plotSettings:\\n nbins = int(plotSettings['numberBins'])\\n else:\\n nbins = 5\\n if 'extend3D' in plotSettings:\\n ext3D = bool(plotSettings['extend3D'])\\n else:\\n ext3D = False\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n # Hopefully, x,y, and z are all the same length, so checking this\\n # here should be good enough.\\n # The problem is you cannot interpolate any amount of space if\\n # you only have a single data point.\\n if self.xValues[pltIndex][key][xIndex].size == 1:\\n self.raiseAWarning('Nothing to Plot Yet. Continuing to next plot.')\\n continue\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n for zIndex in range(len(self.colorMapValues[pltIndex][key])):\\n if self.actcm:\\n first = False\\n else:\\n first = True\\n xig, yig, Ci = mathUtils.interpolateFunction(self.xValues[pltIndex][key][xIndex],\\n self.yValues[pltIndex][key][yIndex],\\n plotSettings,\\n z=self.colorMapValues[pltIndex][key][zIndex],\\n returnCoordinate=True)\\n if self.outStreamTypes[pltIndex] == 'contour3D':\\n if plotSettings['cmap'] == 'None':\\n if 'color' in plotSettings.get('attributes', {}):\\n color = plotSettings.get('attributes', {})['color']\\n else:\\n color = 'blue'\\n self.actPlot = self.ax.contour3D(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n nbins,\\n colors=color,\\n extend3d=ext3D,\\n **plotSettings.get('attributes', {}))\\n else:\\n self.actPlot = self.ax.contour3D(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n nbins,\\n extend3d=ext3D,\\n cmap=matplotlib.cm.get_cmap(name=plotSettings['cmap']),\\n **plotSettings.get('attributes', {}))\\n else:\\n if plotSettings['cmap'] == 'None':\\n plotSettings['cmap'] = 'jet'\\n self.actPlot = self.ax.contourf3D(xig,\\n yig,\\n ma.masked_where(np.isnan(Ci), Ci),\\n nbins,\\n cmap=matplotlib.cm.get_cmap(name=plotSettings['cmap']),\\n **plotSettings.get('attributes', {}))\\n self.ax.clabel(self.actPlot, inline=1, fontsize=10)\\n if 'colorbar' not in self.options or self.options['colorbar']['colorbar'] != 'off':\\n if first:\\n self.actcm = self.fig.colorbar(self.actPlot, shrink = 0.8, extend = 'both')\\n self.actcm.set_label(self.colorMapCoordinates[pltIndex][0].split('|')[-1].replace(')', ''))\\n else:\\n m = matplotlib.cm.ScalarMappable(cmap = self.actPlot.cmap, norm = self.actPlot.norm)\\n m.set_clim(vmin = min(self.colorMapValues[pltIndex][key][-1]), vmax = max(self.colorMapValues[pltIndex][key][-1]))\\n self.actcm.draw_all()\\n ########################\\n # DataMining PLOT #\\n ########################\\n elif self.outStreamTypes[pltIndex] == 'dataMining':\\n colors = cycle(['#88CCEE', '#DDCC77', '#AA4499', '#117733', '#332288', '#999933', '#44AA99', '#882255', '#CC6677', '#CD6677', '#DC6877', '#886677', '#AA6677', '#556677', '#CD7865'])\\n if 's' not in plotSettings:\\n plotSettings['s'] = '20'\\n if 'c' not in plotSettings:\\n plotSettings['c'] = 'b'\\n if 'marker' not in plotSettings:\\n plotSettings['marker'] = 'o'\\n if 'alpha' not in plotSettings:\\n plotSettings['alpha'] = 'None'\\n if 'linewidths' not in plotSettings:\\n plotSettings['linewidths'] = 'None'\\n clusterDict[pltIndex] = {}\\n for key in self.xValues[pltIndex]:\\n for xIndex in range(len(self.xValues[pltIndex][key])):\\n for yIndex in range(len(self.yValues[pltIndex][key])):\\n dataMiningPlotOptions = {'s': ast.literal_eval(plotSettings['s']),\\n 'marker': (plotSettings['marker']),\\n 'alpha': ast.literal_eval(plotSettings['alpha']),\\n 'linewidths': ast.literal_eval(plotSettings['linewidths'])}\\n if self.colorMapCoordinates[pltIndex] is not None:\\n self.raiseAWarning('ColorMap values supplied, however DataMining plots do not use colorMap from input.')\\n if plotSettings['cmap'] == 'None':\\n self.raiseAWarning('ColorSet supplied, however DataMining plots do not use color set from input.')\\n if 'cluster' == plotSettings['SKLtype']:\\n # TODO: include the cluster Centers to the plot\\n if 'noClusters' in plotSettings.get('attributes', {}):\\n clusterDict[pltIndex]['noClusters'] = int(plotSettings.get('attributes', {})['noClusters'])\\n plotSettings.get('attributes', {}).pop('noClusters')\\n else:\\n clusterDict[pltIndex]['noClusters'] = np.amax(self.clusterValues[pltIndex][1][0]) + 1\\n dataMiningPlotOptions.update(plotSettings.get('attributes', {}))\\n if self.dim == 2:\\n clusterDict[pltIndex]['clusterValues'] = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 2))\\n else:\\n clusterDict[pltIndex]['clusterValues'] = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 3))\\n clusterDict[pltIndex]['clusterValues'][:, 0] = self.xValues[pltIndex][key][xIndex]\\n clusterDict[pltIndex]['clusterValues'][:, 1] = self.yValues[pltIndex][key][yIndex]\\n if self.dim == 2:\\n for k, col in zip(range(int(clusterDict[pltIndex]['noClusters'])), colors):\\n myMembers = self.clusterValues[pltIndex][1][0] == k\\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\\n color=col,\\n **dataMiningPlotOptions)\\n\\n # Handle all of the outlying data\\n myMembers = self.clusterValues[pltIndex][1][0] == -1\\n # resize the points\\n dataMiningPlotOptions['s'] /= 2\\n # and hollow out their markers\\n if 'facecolors' in dataMiningPlotOptions:\\n faceColors = dataMiningPlotOptions['facecolors']\\n else:\\n faceColors = None\\n dataMiningPlotOptions['facecolors'] = 'none'\\n\\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\\n color='#000000',\\n **dataMiningPlotOptions)\\n\\n # Restore the plot options to their original values\\n dataMiningPlotOptions['s'] *= 2\\n if faceColors is not None:\\n dataMiningPlotOptions['facecolors'] = faceColors\\n else:\\n del dataMiningPlotOptions['facecolors']\\n\\n else:\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n clusterDict[pltIndex]['clusterValues'][:, 2] = self.zValues[pltIndex][key][zIndex]\\n for k, col in zip(range(int(clusterDict[pltIndex]['noClusters'])), colors):\\n myMembers = self.clusterValues[pltIndex][1][0] == k\\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\\n clusterDict[pltIndex]['clusterValues'][myMembers, 2],\\n color=col,\\n **dataMiningPlotOptions)\\n\\n # Handle all of the outlying data\\n myMembers = self.clusterValues[pltIndex][1][0] == -1\\n # resize the points\\n dataMiningPlotOptions['s'] /= 2\\n # and hollow out their markers\\n if 'facecolors' in dataMiningPlotOptions:\\n faceColors = dataMiningPlotOptions['facecolors']\\n else:\\n faceColors = None\\n dataMiningPlotOptions['facecolors'] = 'none'\\n\\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['clusterValues'][myMembers, 0],\\n clusterDict[pltIndex]['clusterValues'][myMembers, 1],\\n clusterDict[pltIndex]['clusterValues'][myMembers, 2],\\n color='#000000',\\n **dataMiningPlotOptions)\\n\\n # Restore the plot options to their original values\\n dataMiningPlotOptions['s'] *= 2\\n if faceColors is not None:\\n dataMiningPlotOptions['facecolors'] = faceColors\\n else:\\n del dataMiningPlotOptions['facecolors']\\n\\n elif 'bicluster' == plotSettings['SKLtype']:\\n self.raiseAnError(IOError, 'SKLType Bi-Cluster Plots are not implemented yet!..')\\n elif 'mixture' == plotSettings['SKLtype']:\\n if 'noMixtures' in plotSettings.get('attributes', {}):\\n clusterDict[pltIndex]['noMixtures'] = int(plotSettings.get('attributes', {})['noMixtures'])\\n plotSettings.get('attributes', {}).pop('noMixtures')\\n else:\\n clusterDict[pltIndex]['noMixtures'] = np.amax(self.mixtureValues[pltIndex][1][0]) + 1\\n if self.dim == 3:\\n self.raiseAnError(IOError, 'SKLType Mixture Plots are only available in 2-Dimensions')\\n else:\\n clusterDict[pltIndex]['mixtureValues'] = np.zeros(shape = (len(self.xValues[pltIndex][key][xIndex]), 2))\\n clusterDict[pltIndex]['mixtureValues'][:, 0] = self.xValues[pltIndex][key][xIndex]\\n clusterDict[pltIndex]['mixtureValues'][:, 1] = self.yValues[pltIndex][key][yIndex]\\n if 'mixtureCovars' in plotSettings.get('attributes', {}):\\n split = self.__splitVariableNames('mixtureCovars', (pltIndex, 0))\\n # mixtureCovars = self.sourceData[pltIndex].getParam(split[1], split[2], nodeId = 'ending')\\n plotSettings.get('attributes', {}).pop('mixtureCovars')\\n # else:\\n # mixtureCovars = None\\n if 'mixtureMeans' in plotSettings.get('attributes', {}):\\n split = self.__splitVariableNames('mixtureMeans', (pltIndex, 0))\\n # mixtureMeans = self.sourceData[pltIndex].getParam(split[1], split[2], nodeId = 'ending')\\n plotSettings.get('attributes', {}).pop('mixtureMeans')\\n # else:\\n # mixtureMeans = None\\n # mixtureCovars.reshape(3, 4)\\n # mixtureMeans.reshape(3, 4)\\n # for i, (mean, covar, col) in enumerate(zip(mixtureMeans, mixtureCovars, colors)):\\n for i, col in zip(range(clusterDict[pltIndex]['noMixtures']), colors):\\n if not np.any(self.mixtureValues[pltIndex][1][0] == i):\\n continue\\n myMembers = self.mixtureValues[pltIndex][1][0] == i\\n self.actPlot = self.ax.scatter(clusterDict[pltIndex]['mixtureValues'][myMembers, 0],\\n clusterDict[pltIndex]['mixtureValues'][myMembers, 1],\\n color=col,\\n **dataMiningPlotOptions)\\n elif 'manifold' == plotSettings['SKLtype']:\\n if self.dim == 2:\\n manifoldValues = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 2))\\n else:\\n manifoldValues = np.zeros(shape=(len(self.xValues[pltIndex][key][xIndex]), 3))\\n manifoldValues[:, 0] = self.xValues[pltIndex][key][xIndex]\\n manifoldValues[:, 1] = self.yValues[pltIndex][key][yIndex]\\n if 'clusterLabels' in plotSettings.get('attributes', {}):\\n split = self.__splitVariableNames('clusterLabels', (pltIndex, 0))\\n clusterDict[pltIndex]['clusterLabels'] = self.sourceData[pltIndex].getParam(split[1], split[2], nodeId = 'ending')\\n plotSettings.get('attributes', {}).pop('clusterLabels')\\n else:\\n clusterDict[pltIndex]['clusterLabels'] = None\\n if 'noClusters' in plotSettings.get('attributes', {}):\\n clusterDict[pltIndex]['noClusters'] = int(plotSettings.get('attributes', {})['noClusters'])\\n plotSettings.get('attributes', {}).pop('noClusters')\\n else:\\n clusterDict[pltIndex]['noClusters'] = np.amax(self.clusterValues[pltIndex][1][0]) + 1\\n if self.clusterValues[pltIndex][1][0] is not None:\\n if self.dim == 2:\\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\\n myMembers = self.clusterValues[pltIndex][1][0] == k\\n self.actPlot = self.ax.scatter(manifoldValues[myMembers, 0],\\n manifoldValues[myMembers, 1],\\n color=col,\\n **dataMiningPlotOptions)\\n else:\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n manifoldValues[:, 2] = self.zValues[pltIndex][key][zIndex]\\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\\n myMembers = self.clusterValues[pltIndex][1][0] == k\\n self.actPlot = self.ax.scatter(manifoldValues[myMembers, 0],\\n manifoldValues[myMembers, 1],\\n manifoldValues[myMembers, 2],\\n color=col,\\n **dataMiningPlotOptions)\\n else:\\n if self.dim == 2:\\n self.actPlot = self.ax.scatter(manifoldValues[:, 0],\\n manifoldValues[:, 1],\\n **dataMiningPlotOptions)\\n else:\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n manifoldValues[:, 2] = self.zValues[pltIndex][key][zIndex]\\n self.actPlot = self.ax.scatter(manifoldValues[:, 0],\\n manifoldValues[:, 1],\\n manifoldValues[:, 2],\\n **dataMiningPlotOptions)\\n elif 'decomposition' == plotSettings['SKLtype']:\\n if self.dim == 2:\\n decompositionValues = np.zeros(shape = (len(self.xValues[pltIndex][key][xIndex]), 2))\\n else:\\n decompositionValues = np.zeros(shape = (len(self.xValues[pltIndex][key][xIndex]), 3))\\n decompositionValues[:, 0] = self.xValues[pltIndex][key][xIndex]\\n decompositionValues[:, 1] = self.yValues[pltIndex][key][yIndex]\\n if 'noClusters' in plotSettings.get('attributes', {}):\\n clusterDict[pltIndex]['noClusters'] = int(plotSettings.get('attributes', {})['noClusters'])\\n plotSettings.get('attributes', {}).pop('noClusters')\\n else:\\n clusterDict[pltIndex]['noClusters'] = np.amax(self.clusterValues[pltIndex][1][0]) + 1\\n if self.clusterValues[pltIndex][1][0] is not None:\\n if self.dim == 2:\\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\\n myMembers = self.clusterValues[pltIndex][1][0] == k\\n self.actPlot = self.ax.scatter(decompositionValues[myMembers, 0],\\n decompositionValues[myMembers, 1],\\n color=col,\\n **dataMiningPlotOptions)\\n else:\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n decompositionValues[:, 2] = self.zValues[pltIndex][key][zIndex]\\n for k, col in zip(range(clusterDict[pltIndex]['noClusters']), colors):\\n myMembers = self.clusterValues[pltIndex][1][0] == k\\n self.actPlot = self.ax.scatter(decompositionValues[myMembers, 0],\\n decompositionValues[myMembers, 1],\\n decompositionValues[myMembers, 2],\\n color=col,\\n **dataMiningPlotOptions)\\n else:\\n # no ClusterLabels\\n if self.dim == 2:\\n self.actPlot = self.ax.scatter(decompositionValues[:, 0],\\n decompositionValues[:, 1],\\n **dataMiningPlotOptions)\\n else:\\n for zIndex in range(len(self.zValues[pltIndex][key])):\\n decompositionValues[:, 2] = self.zValues[pltIndex][key][zIndex]\\n self.actPlot = self.ax.scatter(decompositionValues[:, 0],\\n decompositionValues[:, 1],\\n decompositionValues[:, 2],\\n **dataMiningPlotOptions)\\n else:\\n # Let's try to \\\"write\\\" the code for the plot on the fly\\n self.raiseAWarning('Trying to create a non-predefined plot of type ' + self.outStreamTypes[pltIndex] + '. If this fails, please refer to the and/or the related matplotlib method specification.')\\n kwargs = {}\\n for kk in plotSettings:\\n if kk != 'attributes' and kk != self.outStreamTypes[pltIndex]:\\n try:\\n kwargs[kk] = ast.literal_eval(plotSettings[kk])\\n except ValueError:\\n kwargs[kk] = plotSettings[kk]\\n try:\\n if self.dim == 2:\\n customFunctionCall = getattr(self.ax, self.outStreamTypes[pltIndex])\\n else:\\n customFunctionCall = getattr(self.ax, self.outStreamTypes[pltIndex])\\n self.actPlot = customFunctionCall(**kwargs)\\n except AttributeError as ae:\\n self.raiseAnError(RuntimeError, '<' + str(ae) + '> -> in execution custom plot \\\"' + self.outStreamTypes[pltIndex] + '\\\" in Plot ' + self.name + '.\\\\nSTREAM MANAGER: ERROR -> command has been called in the following way: ' + 'ax.' + self.outStreamTypes[pltIndex])\\n\\n if 'legend' in self.options['plotSettings']:\\n self.fig.legend(**self.options['plotSettings']['legend'])\\n\\n # SHOW THE PICTURE\\n self.__executeActions()\\n self.fig.canvas.draw_idle()\\n\\n if 'screen' in self.destinations and display:\\n def handle_close(event):\\n \\\"\\\"\\\"\\n This method is aimed to handle the closing of figures (overall when in interactive mode)\\n @ In, event, instance, the event to close\\n @ Out, None\\n \\\"\\\"\\\"\\n self.fig.canvas.stop_event_loop()\\n self.raiseAMessage('Closed Figure')\\n self.fig.canvas.mpl_connect('close_event', handle_close)\\n # self.plt.pause(1e-6)\\n # The following code is extracted from pyplot.pause without actually\\n # needing to force the code to sleep, according to MPL's documentation,\\n # this feature is experimental, hopefully by not calling the pause\\n # function, we can obtain consistent results.\\n # We are skipping a few of the sanity checks done in that function,\\n # since we are sure we have an interactive backend and access to the\\n # correct type of canvas and figure.\\n self.fig.canvas.draw()\\n # If your graphs are unresponsive to user input, you may want to consider\\n # adjusting this timeout, to allow more time for the input to be handled.\\n self.fig.canvas.start_event_loop(1e-3)\\n\\n # self.fig.canvas.flush_events()\\n\\n for fileType in self.destinations:\\n if fileType == 'screen':\\n continue\\n\\n if not self.overwrite:\\n prefix = str(self.counter) + '-'\\n else:\\n prefix = ''\\n\\n if len(self.filename) > 0:\\n name = self.filename\\n else:\\n name = prefix + self.name + '_' + str(self.outStreamTypes).replace(\\\"'\\\", \\\"\\\").replace(\\\"[\\\", \\\"\\\").replace(\\\"]\\\", \\\"\\\").replace(\\\",\\\", \\\"-\\\").replace(\\\" \\\", \\\"\\\")\\n\\n if self.subDirectory is not None:\\n name = os.path.join(self.subDirectory,name)\\n\\n self.fig.savefig(name + '.' + fileType, format=fileType)\\n\\n if 'screen' not in self.destinations:\\n plt.close(fig=self.fig)\\n\\n gc.collect()\",\n \"def plot():\\n pass\",\n \"def generate_plot(chart: Chart) -> Figure:\\n factory = ChartFactory(recipes=ChartService.get_supported_recipes(),\\n data_frame_service=CommonServiceProvider.DataFrameService)\\n plot = factory.create_object(document=chart)\\n\\n return plot\",\n \"def plot(self, *args, **kwargs):\\r\\n if ('kind' in kwargs and \\\\\\r\\n kwargs['kind'] == 'map') or \\\\\\r\\n (len(args) > 3 and args[3] == 'map'):\\r\\n from arcgis.features._data.geodataset.viz import plot\\r\\n has_wm = True\\r\\n wm = kwargs.pop('map_widget', None)\\r\\n if wm is None:\\r\\n has_wm = False\\r\\n wm = GIS().map()\\r\\n if has_wm:\\r\\n plot(df=self,\\r\\n map_widget=wm,\\r\\n name=kwargs.pop('name', \\\"Feature Collection Layer\\\"),\\r\\n renderer_type=kwargs.pop(\\\"renderer_type\\\", None),\\r\\n symbol_type=kwargs.pop('symbol_type', None),\\r\\n symbol_style=kwargs.pop('symbol_style', None),\\r\\n col=kwargs.pop('col', None),\\r\\n colors=kwargs.pop('cmap', None) or kwargs.pop('colors', None) or kwargs.pop('pallette', 'jet'),\\r\\n alpha=kwargs.pop('alpha', 1),\\r\\n **kwargs)\\r\\n return True\\r\\n else:\\r\\n return plot(df=self,\\r\\n map_widget=wm,\\r\\n name=kwargs.pop('name', \\\"Feature Collection Layer\\\"),\\r\\n renderer_type=kwargs.pop(\\\"renderer_type\\\", None),\\r\\n symbol_type=kwargs.pop('symbol_type', None),\\r\\n symbol_style=kwargs.pop('symbol_style', None),\\r\\n col=kwargs.pop('col', None),\\r\\n colors=kwargs.pop('cmap', None) or kwargs.pop('colors', None) or kwargs.pop('pallette', 'jet'),\\r\\n alpha=kwargs.pop('alpha', 1),\\r\\n **kwargs)\\r\\n if ('kind' in kwargs and \\\\\\r\\n kwargs['kind'] == 'map') or \\\\\\r\\n (len(args) > 3 and args[3] == 'map') and \\\\\\r\\n ('as_graphic' in kwargs and kwargs['as_graphic']):\\r\\n from arcgis.features import FeatureCollection, FeatureSet\\r\\n from arcgis import geometry\\r\\n if self._gis is None:\\r\\n gis = GIS(set_active=False)\\r\\n else:\\r\\n gis = self._gis\\r\\n if self.sr:\\r\\n sr = self.sr\\r\\n else:\\r\\n sr = self.sr\\r\\n extent = None\\r\\n if HASARCPY:\\r\\n if sr:\\r\\n wkid = None\\r\\n if hasattr(sr, 'factoryCode'):\\r\\n wkid = {'wkid' : sr.factoryCode}\\r\\n elif isinstance(sr, geometry.SpatialReference):\\r\\n wkid = self.sr\\r\\n ext = self.geoextent\\r\\n extent = {\\r\\n \\\"xmin\\\" : ext[0],\\r\\n \\\"ymin\\\" : ext[1],\\r\\n \\\"xmax\\\" : ext[2],\\r\\n \\\"ymax\\\" : ext[3],\\r\\n \\\"spatialReference\\\" : wkid\\r\\n }\\r\\n else:\\r\\n ext = self.geoextent\\r\\n extent = {\\r\\n \\\"xmin\\\" : ext[0],\\r\\n \\\"ymin\\\" : ext[1],\\r\\n \\\"xmax\\\" : ext[2],\\r\\n \\\"ymax\\\" : ext[3],\\r\\n \\\"spatialReference\\\" : {'wkid' : 4326}\\r\\n }\\r\\n else:\\r\\n sr = self.sr\\r\\n if self.sr is None:\\r\\n sr = {'wkid' : 4326}\\r\\n\\r\\n ext = self.geoextent\\r\\n extent = {\\r\\n \\\"xmin\\\" : ext[0],\\r\\n \\\"ymin\\\" : ext[1],\\r\\n \\\"xmax\\\" : ext[2],\\r\\n \\\"ymax\\\" : ext[3],\\r\\n \\\"spatialReference\\\" : sr\\r\\n }\\r\\n if 'map_widget' not in kwargs:\\r\\n raise Exception(\\\"map_widget is required to plot the SpatialDataFrame\\\")\\r\\n else:\\r\\n m = kwargs.pop('map_widget')\\r\\n symbol = kwargs.pop('symbol', None)\\r\\n popup = kwargs.pop('popup', None)\\r\\n try:\\r\\n fs = FeatureSet.from_dict(self.__feature_set__)\\r\\n m.draw(fs, symbol=symbol, popup=popup)\\r\\n if extent and \\\\\\r\\n isinstance(extent, dict):\\r\\n m.extent = extent\\r\\n except:\\r\\n raise Exception('Could not plot the Spatial DataFrame.')\\r\\n else:\\r\\n return super(SpatialDataFrame, self).plot(*args, **kwargs)\",\n \"def __init__(self, parent_frame, plt_props=None):\\n tk.Frame.__init__(self, master=parent_frame)\\n if self.matplotlib_ready():\\n \\\"\\\"\\\" the import statements are scoped so make new ones\\\"\\\"\\\"\\n import matplotlib\\n import matplotlib.pyplot as plt\\n from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg\\n\\n\\n self.figure_bed = plt.figure(figsize=(7, 3.5))\\n self.axis = self.figure_bed.add_subplot(111)\\n\\n if plt_props:\\n for key, value in plt_props.iteritems():\\n eval(\\\"plt.\\\" + key + \\\"(\\\" + value + \\\")\\\")\\n # self.axis.set_axis_bgcolor('red')\\n self.figure_bed.set_facecolor('white')\\n self.canvas = FigureCanvasTkAgg(self.figure_bed, master=self)\\n self.canvas._tkcanvas.config(highlightthickness=0)\\n self.canvas.draw()\\n self.canvas.get_tk_widget().pack(side='top')\\n\\n # self.make_matplotlib_area(parent, plt_props)\\n self.embed_matplotlib()\\n self.type = 'matplotlib'\\n # TODO ADD TO THIS\\n else:\\n graph = tk.Canvas(master=self)\\n graph.pack(side='left', expand=True, fill=tk.BOTH)\\n self.type = 'canvas'\",\n \"def graph_obj(self):\\r\\n vizEngine = get_vizEngine().lower().strip()\\r\\n obj = None\\r\\n if self.levels > 0 and vizEngine=='bokeh':\\r\\n warnings.warn('Please switch the vizEngine to \\\"plotly\\\" to create contour plots.', UserWarning)\\r\\n if self.surface3D and vizEngine!='plotly':\\r\\n warnings.warn('Please switch the vizEngine to \\\"plotly\\\" to create 3D surface plots.', UserWarning)\\r\\n\\r\\n if vizEngine == 'bokeh':\\r\\n obj = MapBokeh(self.data, self.variable, self.levels, self.surface3D)\\r\\n elif vizEngine == 'plotly':\\r\\n obj = MapPlotly(self.data, self.variable, self.levels, self.surface3D)\\r\\n return obj\",\n \"def plot_refresh():\\n figure.canvas.draw()\",\n \"def plot(self):\\n fig = go.Figure()\\n for traj in self.data:\\n fig.add_trace(\\n go.Scatter(\\n x=traj.age,\\n y=traj.AF\\n )\\n )\\n fig.update_layout(title=self.id)\\n return fig\",\n \"def plotly_spectrum(spectrum, savefig=False):\\n\\n # Open the best_fit_components file\\n with fits.open(spectrum.par.output_dir + '/' + spectrum.par.obj + '.agnspec_components.fits') as hdul:\\n t = hdul[1].data # FITS table data is stored on FITS extension 1\\n # cols = [i.name for i in t.columns]\\n\\n # Create a figure with subplots\\n fig = make_subplots(rows=2, cols=1, row_heights=(3, 1), vertical_spacing=0.05)\\n\\n # ax1: Data & Model\\n tracename = \\\"Data\\\"\\n fig.add_trace(go.Scatter(x=t[\\\"wvl\\\"], y=t[\\\"data\\\"], mode=\\\"lines\\\",\\n line_shape='hvh',\\n line=go.scatter.Line(color=\\\"black\\\", width=1.5), name=tracename, legendrank=1,\\n showlegend=True), row=1, col=1)\\n tracename = \\\"Model\\\"\\n fig.add_trace(go.Scatter(x=t[\\\"wvl\\\"], y=t[\\\"eline_model\\\"] + t[\\\"powerlaw\\\"], mode=\\\"lines\\\",\\n line=go.scatter.Line(color=\\\"red\\\", width=1),\\n name=tracename, legendrank=2, showlegend=True), row=1, col=1)\\n tracename = \\\"Power-law\\\"\\n fig.add_trace(go.Scatter(x=t[\\\"wvl\\\"], y=t[\\\"powerlaw\\\"], mode=\\\"lines\\\",\\n line=go.scatter.Line(color=\\\"red\\\", width=1, dash=\\\"dash\\\"), name=tracename,\\n legendrank=3, showlegend=True), row=1, col=1)\\n\\n # component colors: pick equidistant colors from colormap (excluding the start/end)\\n cmap = mpl.cm.get_cmap('gist_earth')\\n n = len(spectrum.components)\\n colors = [mpl.colors.to_hex(cmap((idx + .5) / n)) for idx in range(n)]\\n\\n # plot individual emission line components\\n for idx, component in enumerate(spectrum.components):\\n for eline in spectrum.components[component]:\\n fig.add_trace(go.Scatter(x=t[\\\"wvl\\\"], y=t[eline], mode=\\\"lines\\\",\\n line=go.scatter.Line(color=colors[idx], width=1.5), name=eline.split('_')[0],\\n legendgroup=component, legendgrouptitle_text=component, legendrank=11 + idx\\n ),\\n\\n row=1, col=1)\\n\\n fig.add_hline(y=0.0, line=dict(color=\\\"gray\\\", width=2), row=1, col=1)\\n\\n # ax2: residuals\\n bestfit = t[\\\"eline_model\\\"] + t['powerlaw']\\n residuals = (t['data'] - bestfit) / t['error']\\n\\n fig.add_trace(go.Scatter(x=t[\\\"wvl\\\"], y=residuals, mode=\\\"lines\\\",\\n line=go.scatter.Line(color=\\\"#FE00CE\\\", width=1), name=\\\"Residuals\\\",\\n showlegend=True, legendrank=100,\\n legendgroup='res', legendgrouptitle_text=' '),\\n row=2, col=1)\\n\\n # Figure layout, size, margins\\n fig.update_layout(autosize=False,\\n width=1700,\\n height=800,\\n margin=dict(l=100, r=100, b=100, t=100, pad=1),\\n # title='None',\\n font_family=\\\"Times New Roman\\\",\\n font_size=16,\\n # font_color=\\\"white\\\",\\n # legend_title_text=\\\"Components\\\",\\n # legend_bgcolor=\\\"black\\\",\\n # paper_bgcolor=\\\"black\\\",\\n # plot_bgcolor=\\\"black\\\",\\n )\\n\\n # Update x-axis properties\\n fig.update_xaxes( # title=r\\\"$\\\\Large\\\\lambda_{\\\\rm{rest}}\\\\;\\\\left[Å\\\\right]$\\\",\\n showticklabels=False,\\n linewidth=0.5, linecolor=\\\"gray\\\", mirror=True,\\n gridwidth=1, gridcolor=\\\"#222A2A\\\", zerolinewidth=2, zerolinecolor=\\\"#222A2A\\\",\\n row=1, col=1)\\n fig.update_xaxes(title=r\\\"$\\\\Large\\\\lambda_{\\\\rm{rest}}\\\\;\\\\left[Å\\\\right]$\\\", linewidth=0.5, linecolor=\\\"gray\\\", mirror=True,\\n gridwidth=1, gridcolor=\\\"#222A2A\\\", zerolinewidth=2, zerolinecolor=\\\"#222A2A\\\",\\n row=2, col=1)\\n # Update y-axis properties\\n fig.update_yaxes(title=r\\\"$\\\\Large f_\\\\lambda\\\\;\\\\left[\\\\rm{erg}\\\\;\\\\rm{cm}^{-2}\\\\;\\\\rm{s}^{-1}\\\\;Å^{-1}\\\\right]$\\\",\\n linewidth=0.5, linecolor=\\\"gray\\\", mirror=True,\\n gridwidth=1, gridcolor=\\\"#222A2A\\\", zerolinewidth=2, zerolinecolor=\\\"#222A2A\\\",\\n row=1, col=1)\\n fig.update_yaxes(title=r\\\"$\\\\Large\\\\Delta f_\\\\lambda / f_\\\\lambda ^{err}$\\\", linewidth=0.5, linecolor=\\\"gray\\\", mirror=True,\\n gridwidth=1, gridcolor=\\\"#222A2A\\\", zerolinewidth=2, zerolinecolor=\\\"#222A2A\\\",\\n # range=[-8, 8],\\n row=2, col=1)\\n\\n fig.update_xaxes(matches='x')\\n # fig.update_yaxes(matches='y')\\n\\n fig.show()\\n\\n # write to figure to output directory\\n if savefig:\\n fig.write_html(spectrum.par.output_dir + '/' + spectrum.par.obj + '.agnspec_model.html', include_mathjax=\\\"cdn\\\")\\n #fig.write_image(\\\"Output/AGNspec_model.pdf\\\")\",\n \"def _figure_2():\\n\\n dataset_id = 3\\n pkl_file = _pkl_file_path(dataset_id)\\n with open(pkl_file, 'rb') as f:\\n data = pickle.load(f)\\n\\n cdata = data[:, 0]\\n seconds = np.arange(data.shape[0]) * 1. / 250\\n\\n plt.xlim(right=seconds[-1])\\n plt.plot(seconds, cdata, color='black', linestyle=':')\\n plt.ticklabel_format(useOffset=False)\\n plt.xlabel('Second')\\n plt.ylabel('Microstrain')\\n plt.savefig('Figure2.png', dpi=300)\\n plt.gcf().clear()\",\n \"def to_figure(self, structure):\\n if not self.bypass:\\n if self.format is \\\"show\\\":\\n plt.show()\\n elif self.format is \\\"png\\\":\\n plt.savefig(self.path + self.filename + \\\".png\\\", bbox_inches=\\\"tight\\\")\\n elif self.format is \\\"fits\\\":\\n if structure is not None:\\n structure.output_to_fits(\\n file_path=self.path + self.filename + \\\".fits\\\", overwrite=True\\n )\",\n \"def __init__(self, subplot_class, *args, **kwargs):\\n import pylab\\n self.fig = pylab.figure(*args, **kwargs)\\n self.subplot_class = subplot_class\",\n \"def plot_to_image(figure):\\n # Save the plot to a PNG in memory.\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n # Closing the figure prevents it from being displayed directly inside\\n # the notebook.\\n# plt.close(figure)\\n buf.seek(0)\\n # Convert PNG buffer to TF image\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n # Add the batch dimension\\n image = tf.expand_dims(image, 0)\\n return image\",\n \"def _InitAxes( self ):\\n self.ax = self.fig.add_subplot( 111 )\",\n \"def to_image(fig):\\n fig.tight_layout(pad=1)\\n fig.canvas.draw()\\n image_from_plot = np.frombuffer(fig.canvas.tostring_rgb(), dtype=np.uint8)\\n image_from_plot = image_from_plot.reshape(\\n fig.canvas.get_width_height()[::-1] + (3,))\\n return image_from_plot\",\n \"def save(self, _=None, filename=\\\"SME.html\\\", **kwargs):\\n # Here we \\\"hack\\\" plotly to use base64 encoded data\\n # since we have a lot of data to look at\\n # this reduces the file size by about a factor 3\\n # zipping it would provide another factor 2\\n if filename.endswith(\\\".html\\\"):\\n self.fig.layout.dragmode = \\\"zoom\\\"\\n fig = self.fig.to_plotly_json()\\n # Convert the data to base64\\n for i in range(len(fig[\\\"data\\\"])):\\n for ax in [\\\"x\\\", \\\"y\\\"]:\\n data = np.asarray(fig[\\\"data\\\"][i][ax]).astype(\\\"float32\\\")\\n b64data = b64encode(data).decode(\\\"utf8\\\")\\n fig[\\\"data\\\"][i][ax] = {\\\"data\\\": b64data, \\\"dtype\\\": \\\"float32\\\"}\\n\\n data = json.dumps(fig[\\\"data\\\"])\\n layout = json.dumps(fig[\\\"layout\\\"])\\n # This is the entire html as generated by self.fig.to_html\\n # except we replace the data and layout manually\\n # and transform it from base64 to TypedArrays\\n html = (\\n r\\\"\\\"\\\"<html><head><meta charset=\\\"utf-8\\\" /></head><body><div>\\\"\\\"\\\"\\n r\\\"\\\"\\\"<script type=\\\"text/javascript\\\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\\\"\\\"\\\"\\n r\\\"\\\"\\\"<script src=\\\"https://cdn.plot.ly/plotly-latest.min.js\\\"></script>\\\"\\\"\\\"\\n r\\\"\\\"\\\"<div id=\\\"56dedbe2-a786-4b0b-8232-b68dfd7b9eb5\\\" class=\\\"plotly-graph-div\\\" style=\\\"height:100%; width:100%;\\\"></div>\\\"\\\"\\\"\\n r\\\"\\\"\\\"<script type=\\\"text/javascript\\\">\\\"\\\"\\\"\\n r\\\"\\\"\\\"window.PLOTLYENV=window.PLOTLYENV || {};\\\"\\\"\\\"\\n r\\\"\\\"\\\"if (document.getElementById(\\\"56dedbe2-a786-4b0b-8232-b68dfd7b9eb5\\\")) {\\\"\\\"\\\"\\n f\\\"data = {data};\\\"\\n f\\\"layout = {layout};\\\"\\n r\\\"\\\"\\\"const FromBase64 = function (str) {return new Uint8Array(atob(str).split('').map(function (c) { return c.charCodeAt(0); }));};\\\"\\\"\\\"\\n r\\\"\\\"\\\"for (let i = 0; i < data.length; i++){\\\"\\\"\\\"\\n r\\\"\\\"\\\"let data_x = data[i].x.data;\\\"\\\"\\\"\\n r\\\"\\\"\\\"let data_y = data[i].y.data;\\\"\\\"\\\"\\n r\\\"\\\"\\\"data[i].x = new Float32Array(FromBase64(data_x).buffer);\\\"\\\"\\\"\\n r\\\"\\\"\\\"data[i].y = new Float32Array(FromBase64(data_y).buffer);\\\"\\\"\\\"\\n r\\\"\\\"\\\"}\\\"\\\"\\\"\\n r\\\"\\\"\\\"Plotly.newPlot(\\\"56dedbe2-a786-4b0b-8232-b68dfd7b9eb5\\\", data, layout, {\\\"responsive\\\": true})};\\\"\\\"\\\"\\n r\\\"\\\"\\\"</script></div></body></html>\\\"\\\"\\\"\\n )\\n # Finally try to minimize if possible\\n if htmlmin is not None:\\n html = htmlmin.minify(html, remove_empty_space=True)\\n with open(filename, \\\"w\\\") as f:\\n f.write(html)\\n\\n else:\\n write_image(self.fig, filename)\",\n \"def plot_to_image(figure):\\n # Save the plot to a PNG in memory.\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n # Closing the figure prevents it from being displayed directly inside\\n # the notebook.\\n plt.close(figure)\\n buf.seek(0)\\n # Convert PNG buffer to TF image\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n # Add the batch dimension\\n image = tf.expand_dims(image, 0)\\n return image\",\n \"def plot_to_image(figure):\\n # Save the plot to a PNG in memory.\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n # Closing the figure prevents it from being displayed directly inside\\n # the notebook.\\n plt.close(figure)\\n buf.seek(0)\\n # Convert PNG buffer to TF image\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n # Add the batch dimension\\n image = tf.expand_dims(image, 0)\\n return image\",\n \"def __init__(self):\\n self.figure = plt.figure()\\n FigureCanvas.__init__(self, self.figure)\\n self.figure.patch.set_facecolor('blue')\\n self.figure.patch.set_alpha(0.0)\\n self.pv_monitor = controls.PvMonitors.get_instance()\",\n \"def buildPlot(self):\\r\\n style.use('fivethirtyeight')\\r\\n self.fig = plt.figure()\\r\\n self.ax1 = self.fig.add_subplot(1,1,1)\\r\\n self.ax1.clear()\\r\\n self.ax1.plot(self.inputValInt,self.inputValInt1)\",\n \"def static_fig(fig, figsize=(7, 7), scale=3, ax=None):\\n\\n i = fig.to_image(format='png', scale=scale)\\n i = io.BytesIO(i)\\n i = mpimg.imread(i, format='png')\\n\\n if ax is None:\\n sns.set(style='white')\\n plt.figure(figsize=figsize)\\n plt.imshow(i)\\n plt.axis('off')\\n ax = plt.gca()\\n else:\\n ax.imshow(i)\\n\\n return ax\",\n \"def __call__(self, pipe):\\n self.pipe = pipe\\n self.fig = plt.figure(tight_layout=True)\\n self.gs = gridspec.GridSpec(2, 2)\\n self.ax1 = self.fig.add_subplot(self.gs[0, 0])\\n self.ax2 = self.fig.add_subplot(self.gs[1, 0])\\n self.ax3 = self.fig.add_subplot(self.gs[:, 1])\\n self.ax1.set_xlabel(\\\"Time\\\")\\n self.ax1.set_ylabel(\\\"Fitness\\\")\\n self.ax2.set_xlabel(\\\"Time\\\")\\n self.ax2.set_ylabel(\\\"Standard deviation\\\")\\n self.ax3.set_xlabel(\\\"Best path\\\")\\n orange_patch = mpatches.Patch(color='tab:orange', label='Best fitness')\\n blue_patch = mpatches.Patch(color='tab:blue', label='Mean fitness')\\n pink_patch = mpatches.Patch(color='tab:pink', label='Std. dev.')\\n self.ax1.legend(handles=[orange_patch, blue_patch])\\n self.ax2.legend(handles=[pink_patch])\\n timer = self.fig.canvas.new_timer(interval=5)\\n timer.add_callback(self.call_back)\\n timer.start()\\n plt.show()\",\n \"def update_figure(self):\\n\\n self.draw()\",\n \"def init_plot(self):\\n self.dpi = 100\\n self.fig = Figure((5.0, 5.0), dpi = self.dpi)\\n\\n self.main_plot = self.fig.add_subplot(111)\\n self.main_plot.set_axis_bgcolor('black')\\n self.main_plot.set_title('Dynamic venous flow view', size = 12)\\n\\n pylab.setp(self.main_plot.get_xticklabels(), fontsize = 8)\\n pylab.setp(self.main_plot.get_yticklabels(), fontsize = 8)\\n\\n # Plot the data as a green line\\n self.plot_data = self.main_plot.plot(\\n self.daq.data0,\\n linewidth = 1,\\n color = (0, 1, 0),\\n )[0]\\n self.main_plot.grid(True, color='gray')\",\n \"def __init__(self):\\n self.fig = pl.figure(1,figsize=(8,6), dpi=80 , frameon = True , facecolor = '0.75' , edgecolor = 'w')\\n self.fig.add_subplot(111 , axisbg = 'w' , projection = 'rectilinear') #if you want to add axes on particular place: fig.add_axes([0.15, 0.1, 0.7, 0.3]) where -> [begin , bottom to start axes , width , height ]\\n self.separated = True #if we have a list and need to plot the plots separated\",\n \"def makeFigure():\\n # Get list of axis objects\\n ax, f = getSetup((7, 3), (1, 2))\\n rep = 10\\n\\n comps = np.arange(1, 11)\\n\\n try:\\n chords_df = pd.read_csv('syserol/data/fig3_chords_df.csv')\\n except FileNotFoundError:\\n print(\\\"Building chords...\\\")\\n # Imputing chords dataframe\\n chords_df = pd.concat([pd.DataFrame({'Components': comps, 'R2X': evaluate_missing(comps, 15, chords=True)[0]})\\n for _ in range(rep)], axis=0)\\n chords_df.to_csv('syserol/data/fig3_chords_df.csv', index=False)\\n chords_df = chords_df.groupby('Components').agg({'R2X': ['mean', 'sem']})\\n\\n try:\\n single_df = pd.read_csv('syserol/data/fig3_single_df.csv')\\n except FileNotFoundError:\\n print(\\\"Building singles...\\\")\\n # Single imputations dataframe\\n single_df = pd.concat([pd.DataFrame(np.vstack((evaluate_missing(comps, 15, chords=False)[0:2], comps)).T,\\n columns=['CMTF', 'PCA', 'Components']) for _ in range(rep)], axis=0)\\n single_df.to_csv('syserol/data/fig3_single_df.csv', index=False)\\n single_df = single_df.groupby(['Components']).agg(['mean', 'sem'])\\n\\n Q2Xchord = chords_df['R2X']['mean']\\n Q2Xerrors = chords_df['R2X']['sem']\\n ax[0].scatter(comps, Q2Xchord, s=10)\\n ax[0].errorbar(comps, Q2Xchord, yerr=Q2Xerrors, fmt='none')\\n ax[0].set_ylabel(\\\"Q2X of Imputation\\\")\\n ax[0].set_xlabel(\\\"Number of Components\\\")\\n ax[0].set_xticks([x for x in comps])\\n ax[0].set_xticklabels([x for x in comps])\\n ax[0].set_ylim(0, 1)\\n\\n CMTFR2X = single_df['CMTF']['mean']\\n CMTFErr = single_df['CMTF']['sem']\\n PCAR2X = single_df['PCA']['mean']\\n PCAErr = single_df['PCA']['sem']\\n ax[1].plot(comps - 0.1, CMTFR2X, \\\".\\\", label=\\\"CMTF\\\")\\n ax[1].plot(comps + 0.1, PCAR2X, \\\".\\\", label=\\\"PCA\\\")\\n ax[1].errorbar(comps - 0.1, CMTFR2X, yerr=CMTFErr, fmt='none', ecolor='b')\\n ax[1].errorbar(comps + 0.1, PCAR2X, yerr=PCAErr, fmt='none', ecolor='darkorange')\\n ax[1].set_ylabel(\\\"Q2X of Imputation\\\")\\n ax[1].set_xlabel(\\\"Number of Components\\\")\\n ax[1].set_xticks([x for x in comps])\\n ax[1].set_xticklabels([x for x in comps])\\n ax[1].set_ylim(0, 1)\\n ax[1].legend(loc=4)\\n\\n # Add subplot labels\\n subplotLabel(ax)\\n\\n return f\",\n \"def get_fig(fig=None, ax=None, figsize=[4, 4]):\\n if not fig:\\n fig = plt.figure(figsize=figsize)\\n if not ax:\\n ax = plt.gca()\\n return fig, ax\",\n \"def setfig(fig=None,**kwargs):\\n if fig:\\n plt.figure(fig,**kwargs)\\n plt.clf()\\n elif fig==0:\\n pass\\n else:\\n plt.figure(**kwargs)\",\n \"def get_plot(self):\\n # Load the data from the file\\n plot_title = \\\"Bottom Track Range\\\"\\n\\n fig, data = self.plotly_bt_range.get_plot()\\n\\n # Create a Header\\n st.subheader(plot_title)\\n\\n # Display a table of the data\\n st.write(data)\\n\\n # Create a streamlit plot\\n st.plotly_chart(fig)\",\n \"def _plot_setup(self, fig, ax):\\n\\n self._check_data_valid()\\n\\n if ax:\\n self.fig = fig\\n self.ax = ax\\n else:\\n self.fig = plt.figure()\\n self.ax = self.fig.add_subplot(111, projection=self.wcs)\\n\\n # Set basic figure display options\\n if self.options.get('grid', True):\\n self.ax.coords.grid(color='white', alpha=0.5)\\n\\n if self.options.get('title', True):\\n title = self.options.get('title', self.surveyname)\\n self.ax.set_title(title, fontdict={'fontsize': 20, 'fontweight': 10})\\n\\n self.set_xlabel('RA (J2000)')\\n self.set_ylabel('Dec (J2000)')\\n\\n # Set compact or extended label / tick configuration\\n if self.options.get('compact', False):\\n tickcolor = 'k' if np.nanmax(np.abs(self.data)) == np.nanmax(self.data) else 'gray'\\n\\n lon = self.ax.coords[0]\\n lat = self.ax.coords[1]\\n\\n lon.display_minor_ticks(True)\\n lat.display_minor_ticks(True)\\n\\n lon.set_ticks(number=5)\\n lat.set_ticks(number=5)\\n\\n self.ax.tick_params(axis='both', direction='in', length=5, color=tickcolor)\\n self.padlevel = self.options.get('ylabelpad', 5)\\n\\n # Set colourmap normalisation\\n self.norm = self._get_cmap_normalisation()\",\n \"def create_figure_new(self):\\n kw = {}\\n self.p = figure(plot_height=400, plot_width=400, tools='pan,wheel_zoom,box_zoom,reset,hover', **kw)\\n self.p.circle(x=[0],y=[0])\",\n \"def render(self):\\r\\n super().render()\\r\\n layers, titles, lat, lon = self.make_layers()\\r\\n plots = []\\r\\n for i in range(len(layers)):\\r\\n p = figure(\\r\\n tools=self.tools, \\r\\n toolbar_location=self.toolbarLocation, \\r\\n plot_width=self.width, \\r\\n plot_height=self.height,\\r\\n x_range=(np.min(lon), np.max(lon)),\\r\\n y_range=(np.min(lat), np.max(lat)),\\r\\n title=titles[i]\\r\\n )\\r\\n p.xaxis.axis_label = self.xlabel\\r\\n p.yaxis.axis_label = self.ylabel\\r\\n colorMapper = LinearColorMapper(palette=self.cmap, low=self.vmin, high=self.vmax)\\r\\n p.image(\\r\\n image=[layers[i]], \\r\\n color_mapper=colorMapper, \\r\\n x=np.min(lon), \\r\\n y=np.min(lat), \\r\\n dw=np.max(lon)-np.min(lon), \\r\\n dh=np.max(lat)-np.min(lat)\\r\\n )\\r\\n\\r\\n p.add_tools(HoverTool(\\r\\n tooltips=[\\r\\n ('longitude', '$x'),\\r\\n ('latitude', '$y'),\\r\\n (self.variable + self.unit, '@image'),\\r\\n ],\\r\\n mode='mouse'\\r\\n )\\r\\n )\\r\\n\\r\\n colorBar = ColorBar(\\r\\n color_mapper=colorMapper, \\r\\n ticker=BasicTicker(),\\r\\n label_standoff=12, \\r\\n border_line_color=None, \\r\\n location=(0,0)\\r\\n )\\r\\n\\r\\n p.add_layout(colorBar, 'right')\\r\\n plots.append(p)\\r\\n \\r\\n \\r\\n if not inline(): output_file(get_figure_dir() + self.variable + \\\".html\\\", title=self.variable) \\r\\n show(column(plots))\",\n \"def make_fig(self, graph_setting):\\n \\n #Initialize Figure\\n fig, ax1 = plt.subplots(figsize=(0.55*self.inch_width, 0.3*self.inch_height), dpi=0.75*self.dpi) # these settings work on Shea's smaller monitor\\n \\n #Retrieve SD Object based on name\\n SDob = self.SD_Map.retrieve_ob(graph_setting)\\n \\n #Pull and format the values of the SD Object\\n plotval = []\\n if type(SDob.values) is list:\\n plotval.extend(SDob.values)\\n else:\\n plotval.append(SDob.values)\\n if True in [True if not x else False for x in plotval]:\\n plotval[:] = [x if x or x == 0 else np.nan for x in plotval]\\n \\n #Pull and format the history of the SD Object\\n #Note: If tuning==0, this will initially be the same as plotval just above\\n histTime = list(range(0,len(SDob.history)))\\n histval = []\\n histval.extend(SDob.history)\\n if True in [True if not x else False for x in histval]:\\n histval[:] = [x if x or x == 0 else np.nan for x in histval]\\n \\n #Identify color to use for plotting based on SD object's category\\n normvalue = self.norm(self.CatColorDict[SDob.category])\\n fill1 = np.array([self.colormap(normvalue)[0:3]])\\n\\n #Generate scatterplot\\n if self.tuning_flag == 1:\\n ax1.scatter(self.timeSeries, plotval, c=fill1, marker=\\\"s\\\", label = self.translate('Simulation'))\\n ax1.scatter(histTime, histval, edgecolors=fill1, marker=\\\"o\\\", label = self.translate('History'), facecolors='none')\\n else:\\n ax1.scatter(histTime, histval, edgecolors=fill1, marker=\\\"o\\\", label = self.translate('History'), facecolors='none')\\n if len(self.timeSeries) > len(histTime):\\n ax1.scatter(self.timeSeries[len(histTime):], plotval[len(histTime):], c=fill1, marker=\\\"s\\\", label = self.translate('Simulation'))\\n\\n #check if object has preset visualization parameters\\n if SDob.vismin:\\n vismin = min(SDob.vismin, 0.8*np.nanmin(plotval), 0.8*np.nanmin(histval))\\n \\n # check if it is better visualize values with a small range that is far from zero\\n elif (np.nanmax(histval) - np.nanmin(histval)) < 0.5*(np.nanmin(histval)):\\n vismin = min(0.8*np.nanmin(plotval), 0.8*np.nanmin(histval))\\n else:\\n vismin = min(0, np.nanmin(plotval), np.nanmin(histval))\\n \\n #check if object has preset visualization parameters\\n if SDob.vismax:\\n vismax = max(SDob.vismax, 1.2*np.nanmax(plotval), 1.2*np.nanmax(histval))\\n \\n # check if it is better visualize values with a small range that is far from zero\\n elif np.nanmax(histval) == np.nanmin(histval):\\n vismax = max(np.nanmax(plotval), np.nanmax(histval)) + 1\\n\\n else:\\n vismax = 1.2*max(np.nanmax(plotval), np.nanmax(histval))\\n \\n #set figure axes\\n ax1.legend(loc='upper right')\\n ax1.set_ylim(vismin, vismax)\\n endtime = max(self.timeSeries[-1], 200)\\n ax1.set_xlim(0, endtime)\\n ax1.set_ylabel(self.translate(SDob.units))\\n ax1.set_xlabel(self.translate('Days'))\\n fig.tight_layout()\\n \\n return fig\",\n \"def plot_to_image(figure):\\n # Save the plot to a PNG in memory.\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n # Closing the figure prevents it from being displayed directly inside the notebook.\\n plt.close(figure)\\n buf.seek(0)\\n # Convert PNG buffer to TF image\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n # Add the batch dimension\\n image = tf.expand_dims(image, 0)\\n return image\",\n \"def plot_to_image(figure):\\n\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n plt.close(figure)\\n buf.seek(0)\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n image = tf.expand_dims(image, 0)\\n\\n return image\",\n \"def plot_to_image(figure):\\n # Save the plot to a PNG in memory.\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n # Closing the figure prevents it from being displayed directly inside\\n # the notebook.\\n plt.close(figure)\\n buf.seek(0)\\n # Convert PNG buffer to TF image\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n # Add the batch dimension\\n image = tf.expand_dims(image, 0)\\n return image\",\n \"def plot_to_image(figure):\\n # Save the plot to a PNG in memory.\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n # Closing the figure prevents it from being displayed directly inside\\n # the notebook.\\n plt.close(figure)\\n buf.seek(0)\\n # Convert PNG buffer to TF image\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n # Add the batch dimension\\n image = tf.expand_dims(image, 0)\\n return image\",\n \"def plot_to_image(figure):\\n # Save the plot to a PNG in memory.\\n buf = io.BytesIO()\\n plt.savefig(buf, format='png')\\n # Closing the figure prevents it from being displayed directly inside\\n # the notebook.\\n plt.close(figure)\\n buf.seek(0)\\n # Convert PNG buffer to TF image\\n image = tf.image.decode_png(buf.getvalue(), channels=4)\\n # Add the batch dimension\\n image = tf.expand_dims(image, 0)\\n return image\",\n \"def define_figure(width, height, dataframe, hover, itype):\\n\\n # Mapper colors\\n # I left here the ones just in case\\n colors_auld = ['#800000', '#860000', '#8c0000', '#930000', '#990000', '#9f0000', '#a60000', '#ac0000', '#b20000', '#b90000', '#bf0000', '#c50000', '#cc0000', '#d20000', '#d80000', '#df0000', '#e50000', '#eb0000', '#f20000', '#f80000', '#ff0000', '#ff0700', '#ff0e00', '#ff1500', '#ff1c00', '#ff2300', '#ff2a00', '#ff3100', '#ff3800', '#ff3f00', '#ff4600', '#ff4d00', '#ff5400', '#ff5b00', '#ff6200', '#ff6900', '#ff7000', '#ff7700', '#ff7e00', '#ff8500', '#ff8c00', '#ff9100', '#ff9700', '#ff9d00', '#ffa300', '#ffa800', '#ffae00', '#ffb400', '#ffba00', '#ffbf00', '#ffc500', '#ffcb00', '#ffd100', '#ffd600', '#ffdc00', '#ffe200', '#ffe800', '#ffed00', '#fff300', '#fff900', '#ffff00', '#f2ff00', '#e5ff00', '#d8ff00', '#ccff00', '#bfff00', '#b2ff00', '#a5ff00', '#99ff00', '#8cff00', '#7fff00', '#72ff00', '#66ff00', '#59ff00', '#4cff00', '#3fff00', '#33ff00', '#26ff00', '#19ff00', '#0cff00', '#00ff00', '#0afc0a', '#15fa15', '#1ff81f', '#2af62a', '#34f434', '#3ff13f', '#49ef49', '#54ed54', '#5eeb5e', '#69e969', '#74e674', '#7ee47e', '#89e289', '#93e093', '#9ede9e', '#a8dba8', '#b3d9b3', '#bdd7bd', '#c8d5c8', '#d3d3d3']\\n colors_ylorrd = ['#800026', '#850026', '#8a0026', '#8f0026', '#940026', '#990026', '#9e0026', '#a30026', '#a80026', '#ad0026', '#b20026', '#b70026', '#bd0026', '#c00225', '#c30424', '#c60623', '#c90822', '#cc0a21', '#d00d21', '#d30f20', '#d6111f', '#d9131e', '#dc151d', '#df171c', '#e31a1c', '#e51e1d', '#e7221e', '#e9271f', '#eb2b20', '#ed2f21', '#ef3423', '#f13824', '#f33c25', '#f54126', '#f74527', '#f94928', '#fc4e2a', '#fc532b', '#fc582d', '#fc5d2e', '#fc6330', '#fc6831', '#fc6d33', '#fc7234', '#fc7836', '#fc7d37', '#fc8239', '#fc873a', '#fd8d3c', '#fd903d', '#fd933e', '#fd9640', '#fd9941', '#fd9c42', '#fd9f44', '#fda245', '#fda546', '#fda848', '#fdab49', '#fdae4a', '#feb24c', '#feb54f', '#feb853', '#febb56', '#febf5a', '#fec25d', '#fec561', '#fec864', '#fecc68', '#fecf6b', '#fed26f', '#fed572', '#fed976', '#feda79', '#fedc7d', '#fede80', '#fedf84', '#fee187', '#fee38b', '#fee48e', '#fee692', '#fee895', '#fee999', '#feeb9c', '#ffeda0', '#ffeea3', '#fff0a7', '#fff1ab', '#fff3ae', '#fff4b2', '#fff6b6', '#fff7b9', '#fff9bd', '#fffac1', '#fffcc4', '#fffdc8', '#ffffcc']\\n colors_grorrd = ['#800026', '#850026', '#8a0026', '#8f0026', '#940026', '#990026', '#9e0026', '#a30026', '#a80026', '#ad0026', '#b20026', '#b70026', '#bd0026', '#c00225', '#c30424', '#c60623', '#c90822', '#cc0a21', '#d00d21', '#d30f20', '#d6111f', '#d9131e', '#dc151d', '#df171c', '#e31a1c', '#e51e1d', '#e7221e', '#e9271f', '#eb2b20', '#ed2f21', '#ef3423', '#f13824', '#f33c25', '#f54126', '#f74527', '#f94928', '#fc4e2a', '#fc532b', '#fc582d', '#fc5d2e', '#fc6330', '#fc6831', '#fc6d33', '#fc7234', '#fc7836', '#fc7d37', '#fc8239', '#fc873a', '#fd8d3c', '#fd903d', '#fd933e', '#fd9640', '#fd9941', '#fd9c42', '#fd9f44', '#fda245', '#fda546', '#fda848', '#fdab49', '#fdae4a', '#feb24c', '#feb54f', '#feb853', '#febb56', '#febf5a', '#fec25d', '#fec561', '#fec864', '#fecc68', '#fecf6b', '#fed26f', '#fed572', '#fed976', '#feda79', '#fedc7d', '#fede80', '#fedf84', '#fee187', '#fee38b', '#fee48e', '#fee692', '#fee895', '#fee999', '#feeb9c', '#ffeda0', '#fbeaa4', '#f7e8a8', '#f4e6ac', '#f0e4b1', '#ece2b5', '#e9e0b9', '#e5ddbd', '#e1dbc2', '#ded9c6', '#dad7ca', '#d6d5ce', '#d3d3d3']\\n colors_inferno = ['#000003', '#000004', '#000006', '#010007', '#010109', '#01010B', '#02010E', '#020210', '#030212', '#040314', '#040316', '#050418', '#06041B', '#07051D', '#08061F', '#090621', '#0A0723', '#0B0726', '#0D0828', '#0E082A', '#0F092D', '#10092F', '#120A32', '#130A34', '#140B36', '#160B39', '#170B3B', '#190B3E', '#1A0B40', '#1C0C43', '#1D0C45', '#1F0C47', '#200C4A', '#220B4C', '#240B4E', '#260B50', '#270B52', '#290B54', '#2B0A56', '#2D0A58', '#2E0A5A', '#300A5C', '#32095D', '#34095F', '#350960', '#370961', '#390962', '#3B0964', '#3C0965', '#3E0966', '#400966', '#410967', '#430A68', '#450A69', '#460A69', '#480B6A', '#4A0B6A', '#4B0C6B', '#4D0C6B', '#4F0D6C', '#500D6C', '#520E6C', '#530E6D', '#550F6D', '#570F6D', '#58106D', '#5A116D', '#5B116E', '#5D126E', '#5F126E', '#60136E', '#62146E', '#63146E', '#65156E', '#66156E', '#68166E', '#6A176E', '#6B176E', '#6D186E', '#6E186E', '#70196E', '#72196D', '#731A6D', '#751B6D', '#761B6D', '#781C6D', '#7A1C6D', '#7B1D6C', '#7D1D6C', '#7E1E6C', '#801F6B', '#811F6B', '#83206B', '#85206A', '#86216A', '#88216A', '#892269', '#8B2269', '#8D2369', '#8E2468', '#902468', '#912567', '#932567', '#952666', '#962666', '#982765', '#992864', '#9B2864', '#9C2963', '#9E2963', '#A02A62', '#A12B61', '#A32B61', '#A42C60', '#A62C5F', '#A72D5F', '#A92E5E', '#AB2E5D', '#AC2F5C', '#AE305B', '#AF315B', '#B1315A', '#B23259', '#B43358', '#B53357', '#B73456', '#B83556', '#BA3655', '#BB3754', '#BD3753', '#BE3852', '#BF3951', '#C13A50', '#C23B4F', '#C43C4E', '#C53D4D', '#C73E4C', '#C83E4B', '#C93F4A', '#CB4049', '#CC4148', '#CD4247', '#CF4446', '#D04544', '#D14643', '#D24742', '#D44841', '#D54940', '#D64A3F', '#D74B3E', '#D94D3D', '#DA4E3B', '#DB4F3A', '#DC5039', '#DD5238', '#DE5337', '#DF5436', '#E05634', '#E25733', '#E35832', '#E45A31', '#E55B30', '#E65C2E', '#E65E2D', '#E75F2C', '#E8612B', '#E9622A', '#EA6428', '#EB6527', '#EC6726', '#ED6825', '#ED6A23', '#EE6C22', '#EF6D21', '#F06F1F', '#F0701E', '#F1721D', '#F2741C', '#F2751A', '#F37719', '#F37918', '#F47A16', '#F57C15', '#F57E14', '#F68012', '#F68111', '#F78310', '#F7850E', '#F8870D', '#F8880C', '#F88A0B', '#F98C09', '#F98E08', '#F99008', '#FA9107', '#FA9306', '#FA9506', '#FA9706', '#FB9906', '#FB9B06', '#FB9D06', '#FB9E07', '#FBA007', '#FBA208', '#FBA40A', '#FBA60B', '#FBA80D', '#FBAA0E', '#FBAC10', '#FBAE12', '#FBB014', '#FBB116', '#FBB318', '#FBB51A', '#FBB71C', '#FBB91E', '#FABB21', '#FABD23', '#FABF25', '#FAC128', '#F9C32A', '#F9C52C', '#F9C72F', '#F8C931', '#F8CB34', '#F8CD37', '#F7CF3A', '#F7D13C', '#F6D33F', '#F6D542', '#F5D745', '#F5D948', '#F4DB4B', '#F4DC4F', '#F3DE52', '#F3E056', '#F3E259', '#F2E45D', '#F2E660', '#F1E864', '#F1E968', '#F1EB6C', '#F1ED70', '#F1EE74', '#F1F079', '#F1F27D', '#F2F381', '#F2F485', '#F3F689', '#F4F78D', '#F5F891', '#F6FA95', '#F7FB99', '#F9FC9D', '#FAFDA0', '#FCFEA4']\\n colors_magma = ['#000003', '#000004', '#000006', '#010007', '#010109', '#01010B', '#02020D', '#02020F', '#030311', '#040313', '#040415', '#050417', '#060519', '#07051B', '#08061D', '#09071F', '#0A0722', '#0B0824', '#0C0926', '#0D0A28', '#0E0A2A', '#0F0B2C', '#100C2F', '#110C31', '#120D33', '#140D35', '#150E38', '#160E3A', '#170F3C', '#180F3F', '#1A1041', '#1B1044', '#1C1046', '#1E1049', '#1F114B', '#20114D', '#221150', '#231152', '#251155', '#261157', '#281159', '#2A115C', '#2B115E', '#2D1060', '#2F1062', '#301065', '#321067', '#341068', '#350F6A', '#370F6C', '#390F6E', '#3B0F6F', '#3C0F71', '#3E0F72', '#400F73', '#420F74', '#430F75', '#450F76', '#470F77', '#481078', '#4A1079', '#4B1079', '#4D117A', '#4F117B', '#50127B', '#52127C', '#53137C', '#55137D', '#57147D', '#58157E', '#5A157E', '#5B167E', '#5D177E', '#5E177F', '#60187F', '#61187F', '#63197F', '#651A80', '#661A80', '#681B80', '#691C80', '#6B1C80', '#6C1D80', '#6E1E81', '#6F1E81', '#711F81', '#731F81', '#742081', '#762181', '#772181', '#792281', '#7A2281', '#7C2381', '#7E2481', '#7F2481', '#812581', '#822581', '#842681', '#852681', '#872781', '#892881', '#8A2881', '#8C2980', '#8D2980', '#8F2A80', '#912A80', '#922B80', '#942B80', '#952C80', '#972C7F', '#992D7F', '#9A2D7F', '#9C2E7F', '#9E2E7E', '#9F2F7E', '#A12F7E', '#A3307E', '#A4307D', '#A6317D', '#A7317D', '#A9327C', '#AB337C', '#AC337B', '#AE347B', '#B0347B', '#B1357A', '#B3357A', '#B53679', '#B63679', '#B83778', '#B93778', '#BB3877', '#BD3977', '#BE3976', '#C03A75', '#C23A75', '#C33B74', '#C53C74', '#C63C73', '#C83D72', '#CA3E72', '#CB3E71', '#CD3F70', '#CE4070', '#D0416F', '#D1426E', '#D3426D', '#D4436D', '#D6446C', '#D7456B', '#D9466A', '#DA4769', '#DC4869', '#DD4968', '#DE4A67', '#E04B66', '#E14C66', '#E24D65', '#E44E64', '#E55063', '#E65162', '#E75262', '#E85461', '#EA5560', '#EB5660', '#EC585F', '#ED595F', '#EE5B5E', '#EE5D5D', '#EF5E5D', '#F0605D', '#F1615C', '#F2635C', '#F3655C', '#F3675B', '#F4685B', '#F56A5B', '#F56C5B', '#F66E5B', '#F6705B', '#F7715B', '#F7735C', '#F8755C', '#F8775C', '#F9795C', '#F97B5D', '#F97D5D', '#FA7F5E', '#FA805E', '#FA825F', '#FB8460', '#FB8660', '#FB8861', '#FB8A62', '#FC8C63', '#FC8E63', '#FC9064', '#FC9265', '#FC9366', '#FD9567', '#FD9768', '#FD9969', '#FD9B6A', '#FD9D6B', '#FD9F6C', '#FDA16E', '#FDA26F', '#FDA470', '#FEA671', '#FEA873', '#FEAA74', '#FEAC75', '#FEAE76', '#FEAF78', '#FEB179', '#FEB37B', '#FEB57C', '#FEB77D', '#FEB97F', '#FEBB80', '#FEBC82', '#FEBE83', '#FEC085', '#FEC286', '#FEC488', '#FEC689', '#FEC78B', '#FEC98D', '#FECB8E', '#FDCD90', '#FDCF92', '#FDD193', '#FDD295', '#FDD497', '#FDD698', '#FDD89A', '#FDDA9C', '#FDDC9D', '#FDDD9F', '#FDDFA1', '#FDE1A3', '#FCE3A5', '#FCE5A6', '#FCE6A8', '#FCE8AA', '#FCEAAC', '#FCECAE', '#FCEEB0', '#FCF0B1', '#FCF1B3', '#FCF3B5', '#FCF5B7', '#FBF7B9', '#FBF9BB', '#FBFABD', '#FBFCBF']\\n colors_ylgnbl = ['#081d58', '#0a1e5d', '#0c2062', '#0f2267', '#11246c', '#142671', '#162876', '#182a7b', '#1b2c80', '#1d2e85', '#20308a', '#22328f', '#253494', '#243795', '#243b97', '#243e99', '#24429a', '#23459c', '#23499e', '#234c9f', '#2350a1', '#2253a3', '#2257a4', '#225aa6', '#225ea8', '#2162aa', '#2166ac', '#206aae', '#206fb0', '#1f73b2', '#1f77b4', '#1f7bb6', '#1e80b8', '#1e84ba', '#1d88bc', '#1d8cbe', '#1d91c0', '#2094c0', '#2397c0', '#269ac1', '#299dc1', '#2ca0c1', '#2fa3c2', '#32a6c2', '#35a9c2', '#38acc3', '#3bafc3', '#3eb2c3', '#41b6c4', '#46b7c3', '#4bb9c2', '#50bbc1', '#55bdc1', '#5abfc0', '#60c1bf', '#65c3be', '#6ac5be', '#6fc7bd', '#74c9bc', '#79cbbb', '#7fcdbb', '#85cfba', '#8bd1b9', '#91d4b9', '#97d6b8', '#9dd8b8', '#a3dbb7', '#a9ddb6', '#afdfb6', '#b5e2b5', '#bbe4b5', '#c1e6b4', '#c7e9b4', '#caeab3', '#cdebb3', '#d0ecb3', '#d3eeb3', '#d6efb2', '#daf0b2', '#ddf1b2', '#e0f3b2', '#e3f4b1', '#e6f5b1', '#e9f6b1', '#edf8b1', '#eef8b4', '#f0f9b7', '#f1f9bb', '#f3fabe', '#f4fac1', '#f6fbc5', '#f7fcc8', '#f9fccb', '#fafdcf', '#fcfdd2', '#fdfed5', '#ffffd9']\\n colors_rdylbl = ['#a50026', '#a60529', '#a80a2c', '#aa0f2f', '#ac1432', '#ae1a35', '#b01f38', '#b1243b', '#b3293e', '#b52e42', '#b73445', '#b93948', '#bb3e4b', '#bc434e', '#be4851', '#c04e54', '#c25357', '#c4585b', '#c65d5e', '#c76261', '#c96864', '#cb6d67', '#cd726a', '#cf776d', '#d17c70', '#d28274', '#d48777', '#d68c7a', '#d8917d', '#da9680', '#dc9c83', '#dda186', '#dfa689', '#e1ab8d', '#e3b090', '#e5b693', '#e7bb96', '#e8c099', '#eac59c', '#ecca9f', '#eed0a2', '#f0d5a6', '#f2daa9', '#f3dfac', '#f5e4af', '#f7eab2', '#f9efb5', '#fbf4b8', '#fdf9bb', '#ffffbf', '#fafabe', '#f6f6bd', '#f2f2bc', '#eeeebb', '#e9eaba', '#e5e6b9', '#e1e2b9', '#dddeb8', '#d9dab7', '#d4d5b6', '#d0d1b5', '#cccdb4', '#c8c9b3', '#c4c5b3', '#bfc1b2', '#bbbdb1', '#b7b9b0', '#b3b5af', '#afb1ae', '#aaacad', '#a6a8ad', '#a2a4ac', '#9ea0ab', '#9a9caa', '#9598a9', '#9194a8', '#8d90a7', '#898ca7', '#8588a6', '#8083a5', '#7c7fa4', '#787ba3', '#7477a2', '#7073a1', '#6b6fa1', '#676ba0', '#63679f', '#5f639e', '#5b5f9d', '#565a9c', '#52569b', '#4e529b', '#4a4e9a', '#464a99', '#414698', '#3d4297', '#393e96', '#353a95', '#313695']\\n colors = colors_grorrd\\n colors.reverse()\\n mapper = LinearColorMapper(palette=colors, low=0, high=100)\\n\\n #Bokeh figure\\n p = figure(\\n plot_width= width,\\n plot_height=height,\\n #title=\\\"Example freq\\\",\\n y_range=list(dataframe.Id.drop_duplicates()),\\n x_range=list(dataframe.Position.drop_duplicates()),\\n tools=[\\\"hover\\\",\\\"tap\\\",\\\"save\\\",\\\"reset\\\",\\\"wheel_zoom\\\"], \\n x_axis_location=\\\"above\\\",\\n active_drag=None,\\n toolbar_location=\\\"right\\\",\\n toolbar_sticky = False,\\n min_border_top = 200,#leave some space for x-axis artificial labels\\n min_border_bottom = 0,\\n )\\n\\n # Create rectangle for heatmap\\n mysource = ColumnDataSource(dataframe)\\n p.rect(\\n y=\\\"Id\\\", \\n x=\\\"Position\\\",\\n width=1, \\n height=1, \\n source=mysource,\\n line_color=\\\"white\\\", \\n fill_color=transform(itype, mapper),\\n\\n # set visual properties for selected glyphs\\n selection_line_color=\\\"black\\\",\\n selection_fill_color=transform(itype, mapper),\\n # set visual properties for non-selected glyphs\\n nonselection_fill_color=transform(itype, mapper),\\n nonselection_fill_alpha=1,\\n nonselection_line_alpha=1,\\n nonselection_line_color=\\\"white\\\"\\n )\\n\\n #Very poor way of creating X-axis labels. Necessary for having linejumps inside the axis labels\\n x_cord = 0\\n y_cord = len(list(dataframe.Id.drop_duplicates()))+11#Position: 11 spaces above the plot's top border\\n foolabel = Label(x=-1,\\n y=y_cord,\\n text='\\\\nA: \\\\nB: \\\\nC: \\\\nF: \\\\n\\\\n\\\\nA: \\\\nB: \\\\nC: \\\\nF: \\\\n',\\n render_mode='css', \\n border_line_alpha=1.0,\\n text_font_size = \\\"10pt\\\",\\n background_fill_color = \\\"#FFFFFF\\\")\\n p.add_layout(foolabel)\\n\\n #Fore every unique position in the set, add a label in axis\\n for position in list(dataframe.Position.drop_duplicates()):\\n position = position.replace(\\\"Ligand\\\",\\\"Lig\\\\n\\\\n\\\\n\\\\n\\\\n\\\")\\n foolabel = Label(x=x_cord,\\n y=y_cord,\\n text=position,\\n render_mode='css', \\n border_line_alpha=1.0,\\n background_fill_color = \\\"#FFFFFF\\\",\\n text_font_size = \\\"10pt\\\")\\n p.add_layout(foolabel)\\n x_cord +=1\\n\\n # Setting axis\\n p.axis.axis_line_color = None\\n p.axis.major_tick_line_color = None\\n p.xaxis.major_label_text_font_size = \\\"10pt\\\"\\n p.yaxis.major_label_text_font_size = \\\"10pt\\\"\\n p.yaxis.visible = False\\n p.xaxis.visible = False\\n p.axis.major_label_standoff = 0\\n p.xaxis.major_label_orientation = 1\\n\\n # Adding hover\\n p.add_tools(hover)\\n\\n # Needed later\\n return(mysource,p)\",\n \"def plot(self):\\n pass\",\n \"def __init__(self, fig):\\n # Initialize systems\\n self.set_quantum_sys()\\n\\n #################################################################\\n #\\n # Initialize plotting facility\\n #\\n #################################################################\\n\\n self.fig = fig\\n\\n ax = fig.add_subplot(111)\\n\\n ax.set_title('Wavefunction density, $| \\\\\\\\Psi(x_1, x_2, t) |^2$')\\n extent=[\\n self.quant_sys.x2.min(),\\n self.quant_sys.x2.max(),\\n self.quant_sys.x1.min(),\\n self.quant_sys.x1.max()\\n ]\\n self.img = ax.imshow([[]], extent=extent, origin='lower')\\n\\n self.fig.colorbar(self.img)\\n\\n ax.set_xlabel('$x_2$ (a.u.)')\\n ax.set_ylabel('$x_1$ (a.u.)')\",\n \"def assemblePlot(self):\\n self.clearPlot()\\n self.axes = self.figure.add_subplot(111)\\n\\n # Reset handles\\n self._fluxOverlayHandles = []\\n self._magneticAxisHandle = None\\n self._orbitHandles = []\\n self._separatrixOverlayHandle = None\\n self._wallCrossSectionOverlayHandle = None\\n\\n # Plot image\\n self.plotEq()\\n\\n # Plot overlays\\n self.plotOverlays()\\n\\n self.adjustAxes()\",\n \"def plot_precision_figure(self):\\n\\n data_analysis = DatabaseData(dataframe=self.plot_data)\\n prop_data, energy_data, M, C, pred_energy, pred_property = \\\\\\n data_analysis.create_precision_bokeh_compat(self.prop_data, self.energy_data, properties=self.properties)\\n p = figure(plot_height=400, plot_width=400,tools=\\\"pan,wheel_zoom,box_zoom,reset,previewsave\\\",\\\\\\n x_axis_type=\\\"log\\\", y_axis_type=\\\"log\\\", x_axis_label='Energy Convergence (meV/atom)', title='Slope M is {0}'.format(str(M)) )\\n p.line(pred_energy, pred_property, color='red')\\n p.circle(self.energy_data, self.prop_data, color='blue',size=5, line_alpha=0)\\n #p.multi_line(xs_err, ys_err, color='black')\\n if self.properties == 'B':\\n p.yaxis.axis_label = 'Bulk Modulus B (%)'\\n elif self.properties == 'dB':\\n p.yaxis.axis_label = 'Bulk Modulus Pressure Derivative (%)'\\n elif self.properties == 'Multiple':\\n p.yaxis.axis_label = \\\"V0, B, B' (%)\\\"\\n elif self.properties == 'V0':\\n p.yaxis.axis_label = 'Volume (%)'\\n\\n return p\",\n \"def draw(self, fig, ax):\\n\\n\\t\\tpoints = self.apply_transformations() \\n\\t\\tax.scatter3D(points[:, 0], points[:, 1], points[:, 2])\\n\\n\\t\\t# cube polygons collection\\n\\t\\tverts = [\\n\\t\\t\\t[points[0], points[1], points[2], points[3]],\\n\\t\\t\\t[points[4], points[5], points[6], points[7]], \\n\\t\\t\\t[points[0], points[1], points[5], points[4]], \\n\\t\\t\\t[points[2], points[3], points[7], points[6]], \\n\\t\\t\\t[points[1], points[2], points[6], points[5]],\\n\\t\\t\\t[points[4], points[7], points[3], points[0]]\\n\\t\\t]\\n\\t\\t\\n\\t\\t# render polygons\\n\\t\\tax.add_collection3d(Poly3DCollection(verts, \\n\\t\\tfacecolors='blue', linewidths=1, edgecolors='b', alpha=0.3))\",\n \"def update_plot(click, contents, filename, start_date, end_date, freq, window_length, mean_diff,\\n max_diff, upper_ll, lower_ll, vardiff, slopedev):\\n if click < 1:\\n return\\n\\n # params = pd.read_json(params)\\n # params = params.apply(pd.to_numeric)\\n # params = params.sort_values('Run')\\n\\n window_length = int(window_length)\\n mean_diff = float(mean_diff)\\n max_diff = float(max_diff)\\n upper_ll = float(upper_ll)\\n lower_ll = float(lower_ll)\\n slopedev = float(slopedev)\\n vardiff = float(vardiff)\\n\\n\\n df = utils.read_df(contents, filename)\\n df = df[(df.index >= start_date) & (df.index <= end_date)]\\n df = df[df.index.minute % freq == 0]\\n is_clear, components, alpha = \\\\\\n cs_utils.detect_clearsky(df['GHI'], df['GHIcs'], df.index,\\n window_length=window_length, mean_diff=mean_diff,\\n max_diff=max_diff, upper_line_length=upper_ll, lower_line_length=lower_ll,\\n slope_dev=slopedev, var_diff=vardiff, return_components=True)\\n\\n df['GHIcs'] = df['GHIcs'] * alpha\\n fig = tls.make_subplots(rows=2, cols=1, shared_xaxes=True)\\n\\n plots = []\\n plots.append(go.Scatter(x=df.index, y=df['GHI'], name='GHI'))\\n plots.append(go.Scatter(x=df.index, y=df['GHIcs'], name='GHIcs'))\\n plots.append(go.Scatter(x=df[is_clear].index, y=df[is_clear]['GHI'], name='PVLib clear', mode='markers'))\\n plots.append(go.Scatter(x=df.index, y=components['mean_diff'],\\n name='Mean diff.', visible='legendonly'))\\n plots.append(go.Scatter(x=df.index, y=components['max_diff'],\\n name='Max diff.', visible='legendonly'))\\n plots.append(go.Scatter(x=df.index, y=components['line_length'],\\n name='Line length', visible='legendonly'))\\n plots.append(go.Scatter(x=df.index, y=components['slope_nstd'],\\n name='Slope std. dev.', visible='legendonly'))\\n plots.append(go.Scatter(x=df.index, y=components['slope_max'],\\n name='Max slope diff.', visible='legendonly'))\\n\\n for p in plots:\\n fig.append_trace(p, 1, 1)\\n\\n plots2 = []\\n passes = pd.DataFrame(components)\\n for i, test in enumerate(['mean_diff_pass', 'max_diff_pass', 'line_length_pass',\\n 'slope_nstd_pass', 'slope_max_pass']):\\n slice = passes[test].astype(int)\\n ii = i / 4\\n yval = [ii] * len(slice.astype(bool) & passes['non_zero'].astype(bool))\\n plots2.append(\\n go.Scatter(x=df.index[:len(slice)][slice.astype(bool) & passes['non_zero'].astype(bool)],\\n y=yval, name='', mode='markers', showlegend=False)\\n )\\n\\n for p in plots2:\\n fig.append_trace(p, 2, 1)\\n\\n fig['layout']['yaxis2'].update(tickmode='text', tickvals=[0, .25, .5, .75, 1],\\n ticktext=['Mean diff.', 'Max diff.', 'Line length',\\n 'Slope std. dev.', 'Max slope diff.'])\\n fig['layout']['xaxis2'].update(title='Date')\\n fig['layout']['yaxis2'].update(domain=[0, 0.2])\\n fig['layout']['yaxis1'].update(title='GHI / W/m2')\\n fig['layout']['yaxis1'].update(domain=[.25, 1])\\n fig['layout'].update(height=500, margin={'l': 100})\\n fig['layout'].update(title='Window length: {}, mean diff: {}, max diff: {}, upper line length: {}, '\\n 'lower line length: {}, max slope difference: {}, std slope differece: {}'\\n .format(window_length, mean_diff, max_diff, upper_ll, lower_ll, slopedev, vardiff))\\n\\n plots = fig\\n\\n layout = go.Layout(xaxis={'title': 'Date'}, # yaxis={'title': 'W/m2'},\\n title='Window length: {}, mean diff: {}, max diff: {}, upper line length: {}, '\\n 'lower line length: {}, max slope difference: {}, std slope differece: {}'\\n .format(window_length, mean_diff, max_diff, upper_ll, lower_ll, slopedev, vardiff),\\n )\\n ts_plot = dcc.Graph(id='cs-plot', figure={'data': plots, 'layout': layout})\\n\\n # scores = [go.Scatter(x=list(range(len(params))),\\n # y=params['F-score'],\\n # text=utils.df_to_text(params), hoverinfo='text')]\\n # scores_layout = go.Layout(xaxis={'title': 'Run', 'tickvals': [i for i in range(1, len(params))],\\n # 'ticktext': [str(i + 1) for i in range(1, len(params))],\\n # 'range': [0, len(params)]}, yaxis={'title': 'F-score'})\\n # scores_plot = dcc.Graph(id='cs-scores', figure={'data': scores, 'layout': scores_layout})\\n #\\n # table = dt.DataTable(\\n # rows=params[['Run', 'Window length', 'Mean difference', 'Max difference',\\n # 'Upper line length', 'Lower line length', 'Variance of slopes',\\n # 'Max difference of slopes', 'F-score']].round(3).to_dict('records'),\\n # columns=['Run', 'Window length', 'Mean difference', 'Max difference',\\n # 'Upper line length', 'Lower line length', 'Variance of slopes',\\n # 'Max difference of slopes', 'F-score'],\\n # selected_row_indices=[],\\n # sortable=True,\\n # filterable=True,\\n # editable=False,\\n # id='cs-param_table'\\n # )\\n\\n final = html.Div([\\n html.Div(ts_plot)\\n ], style={'width': '98%', 'float': 'center', 'pad': {'l': 40}})\\n\\n return final\",\n \"def _update_plot(self) -> None:\\n\\n # Check if plotting is active\\n if self._fig is None:\\n return None\\n LOG.debug(\\\"Updating plot.\\\")\\n\\n # Extract glaciated area\\n hs_back = np.ma.masked_where(\\n self.h <= 1,\\n hillshade(\\n self.ele, self.PLOT_HILLSHADE_AZIMUTH, self.PLOT_HILLSHADE_ALTITUDE\\n ),\\n )\\n\\n # Clear plot and draw axes\\n self._fig.clear()\\n ax = plt.subplot(121, facecolor=\\\"black\\\")\\n ax.tick_params(axis=\\\"x\\\", colors=\\\"w\\\")\\n ax.tick_params(axis=\\\"y\\\", colors=\\\"w\\\")\\n ax.set(xlabel=\\\"X-coordinate [m]\\\", ylabel=\\\"Y-coordinate [m]\\\")\\n ax.xaxis.label.set_color(\\\"w\\\")\\n ax.yaxis.label.set_color(\\\"w\\\")\\n title_text = f\\\"Year: {str(self.i)} ELA: {str(int(self.ela))} m.a.s.l.\\\"\\n ax.set_title(title_text, color=\\\"white\\\", size=18)\\n\\n # Draw new image layers\\n plt.imshow(self.hs, vmin=90, vmax=345, cmap=\\\"copper\\\", extent=self.extent)\\n plt.imshow(255 - hs_back, vmin=1, vmax=150, cmap=\\\"Greys\\\", extent=self.extent)\\n\\n # Mass balance\\n ax1 = plt.subplot(222, facecolor=\\\"black\\\")\\n ax1.plot(self.mass_balance, color=\\\"w\\\")\\n ax1.plot(self.mass_balance_trend, color=\\\"r\\\")\\n ax1.set(ylabel=\\\"Mass balance [m]\\\")\\n ax1.yaxis.label.set_color(\\\"w\\\")\\n plt.setp(ax1.get_xticklabels(), visible=False)\\n ax1.tick_params(axis=\\\"y\\\", colors=\\\"w\\\")\\n ax1.set_title(f\\\"Gradient: {str(self.m)} m/m\\\", color=\\\"white\\\", size=18)\\n\\n # Plot mean thickness\\n ax2 = plt.subplot(224, sharex=ax1, facecolor=\\\"black\\\")\\n ax2.plot(self.mass, color=\\\"w\\\")\\n ax2.set(xlabel=\\\"Year [a]\\\", ylabel=\\\"Mean thickness [m]\\\")\\n ax2.xaxis.label.set_color(\\\"w\\\")\\n ax2.yaxis.label.set_color(\\\"w\\\")\\n ax2.tick_params(axis=\\\"x\\\", colors=\\\"w\\\")\\n ax2.tick_params(axis=\\\"y\\\", colors=\\\"w\\\")\\n\\n # Draw new plot\\n self._fig.canvas.draw()\\n plt.pause(0.05)\",\n \"def plot_data(self):\",\n \"def make_2axis_graph():\\n d = curdoc()\\n _remove_fig(d)\\n graph_val = d.get_model_by_name(GRAPH_SELECTION).value\\n model_id, message_name, _ = run_handlers.get_modelid_messagename_type(d)\\n\\n xval = d.get_model_by_name(X_AXIS_SELECTION).value\\n yval = d.get_model_by_name(Y_AXIS_SELECTION).value\\n\\n if xval != DEFAULT_UNSELECTED and yval != DEFAULT_UNSELECTED:\\n plot = figure(plot_width=400, plot_height=400, name=FIGURE_MODEL)\\n sind = run_handlers.get_source_index(d.session_context.id, model_id, message_name)\\n _install_callback_and_cds(sind, model_id, message_name, stream_limit=100000)\\n\\n # get the field name back from the pretty field : meta string formed above\\n x = xval.split(\\\" :\\\")[0]\\n y = yval.split(\\\" :\\\")[0]\\n\\n if graph_val == \\\"line\\\":\\n plot.line(x=x, y=y, color=\\\"firebrick\\\", line_width=2, source=d.get_model_by_name(sind))\\n plot.x_range.follow = \\\"end\\\" # don't jam all the data into the graph; \\\"window\\\" it\\n plot.x_range.follow_interval = 100\\n plot.x_range.range_padding = 0\\n if graph_val == \\\"scatter\\\":\\n plot.cross(x=x, y=y, size=20, color=\\\"firebrick\\\", line_width=2, source=d.get_model_by_name(sind))\\n if graph_val == \\\"step\\\":\\n plot.step(x=x, y=y, color=\\\"#FB8072\\\", source=d.get_model_by_name(sind))\\n\\n d.add_root(plot)\",\n \"def __init__(self, width, height, dpi, hasCalma, parent=None):\\n\\n # Create Figure instance (which stores our plots)\\n self.fig = Figure(figsize=(2, 2), dpi=dpi, edgecolor='blue')\\n\\n # Add an initial plot to our figure\\n self.canvasGraph = self.fig.add_subplot(111)\\n\\n # Fetch colour map\\n self.colourMap = self.get_colour_map()\\n\\n # Initialize figure canvas, which initializes an instance of QtWidget\\n FigureCanvas.__init__(self, self.fig)\\n self.setParent(parent)\\n\\n # Store reference to axes\\n self.ax = self.fig.gca()\\n\\n # Hide tick labels to create default style\\n self.ax.set_yticklabels([])\\n self.ax.set_xticklabels([])\\n\\n # Add placeholder text\\n if hasCalma:\\n self.placeHolderText = self.fig.text(0.5, 0.65,'Click on a performance track for CALMA data',horizontalalignment='center',\\n verticalalignment='center', fontsize=16)\\n else:\\n self.placeHolderText = self.fig.text(0.5, 0.65,'No CALMA data available for this query',horizontalalignment='center',\\n verticalalignment='center',\\n fontsize=16)\\n\\n # Make background transparent\\n self.fig.patch.set_alpha(1.0)\\n\\n # Resize with window\\n FigureCanvas.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)\\n FigureCanvas.updateGeometry(self)\\n self.setMinimumSize(self.size())\",\n \"def plot_figure(param1, param2):\\n return 0\",\n \"def __init__(self):\\n super().__init__()\\n\\n # general attributes\\n self.printTag = 'OUTSTREAM PLOT'\\n self.options = {} # outstreaming options # no addl info from original developer\\n self.counter = 0 # keeps track of how many times the same plot has been plotted\\n self.dim = None # default plot is 2D\\n self.sourceName = [] # list of source names\\n self.sourceData = None # source of data\\n self.outStreamTypes = [] # list of the outstream types\\n self.destinations = None # where plots should go (screen, file, etc.)\\n\\n # plot types key is data dimension, value is list of available plot types\\n self.availableOutStreamTypes = {2: ['scatter',\\n 'line',\\n 'histogram',\\n 'stem',\\n 'step',\\n 'pseudocolor',\\n 'dataMining',\\n 'contour',\\n 'filledContour'],\\n 3: ['scatter',\\n 'line',\\n 'histogram',\\n 'stem',\\n 'surface',\\n 'wireframe',\\n 'tri-surface',\\n 'contour',\\n 'filledContour']}\\n\\n # interpolators that can be used in plots\\n self.availableInterpolators = ['nearest',\\n 'linear',\\n 'cubic',\\n 'multiquadric',\\n 'inverse',\\n 'gaussian',\\n 'Rbflinear',\\n 'Rbfcubic',\\n 'quintic',\\n 'thin_plate']\\n\\n # plot components\\n self.fig = None # figure\\n self.ax = None # axes\\n self.actPlot = None # plot action, ie., ax.plot()\\n self.gridSpace = None # subplot setup\\n self.actcm = None # colormap\\n self.xCoordinates = None # x coordinate name\\n self.yCoordinates = None # y coordinate name\\n self.zCoordinates = None # z coordinate name\\n self.xValues = None # dictionary of x values\\n self.yValues = None # dictionary of y values\\n self.zValues = None # dictionary of z values\\n self.colorMapCoordinates = {} # color map coordinates\\n self.colorMapValues = {} # color map values\\n\\n # For the data-mining plot, I think?\\n self.clusterLabels = None\\n self.clusterValues = None\\n\\n # Gaussian Mixtures\\n self.mixtureLabels = None\\n self.mixtureValues = None\\n self.mixtureMeans = None\\n self.mixtureCovars = None\",\n \"def from_pyplot_fig(cls, fig, dpi=200):\\n buf = io.BytesIO()\\n fig.savefig(buf, format=\\\"png\\\", dpi=dpi, bbox_inches=\\\"tight\\\")\\n buf.seek(0)\\n img_arr = np.frombuffer(buf.getvalue(), dtype=np.uint8)\\n buf.close()\\n img = cv2.imdecode(img_arr, 1)\\n img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\\n return cls(img)\",\n \"def init_fig(self, fig):\\n # type: (Figure) -> None\\n self.init_vars()\\n\\n self.xs, self.ys = np.meshgrid(np.arange(0., self.max_iter+.5)-.5, np.arange(0., self.n_vars+.5)-.5)\\n self.cs = np.zeros((self.n_vars, self.max_iter))\\n\\n self.ax = fig.add_subplot(111)\\n self.ax.xaxis.set_major_locator(ticker.MaxNLocator(integer=True))\\n self.ax.yaxis.set_ticks(np.arange(0, self.n_vars))\\n self.ax.yaxis.set_ticklabels(self.var_names)\\n\\n self.ax.set_xlim([-.5, .5])\\n self.ax.set_ylim([-.5, self.n_vars-.5])\\n self.quad = self.ax.pcolormesh(self.xs, self.ys, self.cs,\\n vmin=self.vmin, vmax=self.vmax, cmap=self.cmap, norm=self.norm)\\n\\n fig.colorbar(self.quad)\\n\\n self.ax.set_xlabel('Evaluation #')\",\n \"def show_plot(figure_id=None):\\n if figure_id is None:\\n fig = pl.gcf()\\n else:\\n # do this even if figure_id == 0\\n fig = pl.figure(num=figure_id)\\n pl.show()\\n pl.pause(1e-9)\\n fig.canvas.manager.window.activateWindow()\\n fig.canvas.manager.window.raise_()\",\n \"def fig2data ( fig ):\\n # draw the renderer\\n fig.canvas.draw ( )\\n buf = np.array(fig.canvas.renderer._renderer)\\n return buf\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6617626","0.6531744","0.6453837","0.6431585","0.6351513","0.6198196","0.6140918","0.6118211","0.60988694","0.6052095","0.60091686","0.5962658","0.59478086","0.59292096","0.5902695","0.5902364","0.5892394","0.58689743","0.58653957","0.58606535","0.5860366","0.5851207","0.58346266","0.58275205","0.58237404","0.5777994","0.57745135","0.5774031","0.5770117","0.57553893","0.5754622","0.57448417","0.5729151","0.5724382","0.5721799","0.5712506","0.5704035","0.5688472","0.5686085","0.56792223","0.567853","0.5671481","0.56677824","0.56615037","0.56505716","0.5649121","0.5644972","0.56375325","0.563075","0.56280845","0.56193274","0.5619154","0.56054026","0.5599282","0.5598589","0.5581906","0.5581238","0.5572171","0.55697376","0.5569385","0.5569173","0.5561457","0.5561457","0.5553911","0.55437034","0.55425775","0.55377483","0.5534767","0.5531791","0.5529767","0.55265164","0.55247873","0.55234104","0.5522862","0.5521558","0.55195236","0.5515559","0.55014986","0.54935104","0.54932046","0.5486498","0.5486498","0.5486498","0.5485747","0.54850125","0.54808813","0.54656124","0.54632616","0.5460832","0.5458418","0.54570395","0.545087","0.5441506","0.54388815","0.54384303","0.5434881","0.5434309","0.54319376","0.5430871","0.542526"],"string":"[\n \"0.6617626\",\n \"0.6531744\",\n \"0.6453837\",\n \"0.6431585\",\n \"0.6351513\",\n \"0.6198196\",\n \"0.6140918\",\n \"0.6118211\",\n \"0.60988694\",\n \"0.6052095\",\n \"0.60091686\",\n \"0.5962658\",\n \"0.59478086\",\n \"0.59292096\",\n \"0.5902695\",\n \"0.5902364\",\n \"0.5892394\",\n \"0.58689743\",\n \"0.58653957\",\n \"0.58606535\",\n \"0.5860366\",\n \"0.5851207\",\n \"0.58346266\",\n \"0.58275205\",\n \"0.58237404\",\n \"0.5777994\",\n \"0.57745135\",\n \"0.5774031\",\n \"0.5770117\",\n \"0.57553893\",\n \"0.5754622\",\n \"0.57448417\",\n \"0.5729151\",\n \"0.5724382\",\n \"0.5721799\",\n \"0.5712506\",\n \"0.5704035\",\n \"0.5688472\",\n \"0.5686085\",\n \"0.56792223\",\n \"0.567853\",\n \"0.5671481\",\n \"0.56677824\",\n \"0.56615037\",\n \"0.56505716\",\n \"0.5649121\",\n \"0.5644972\",\n \"0.56375325\",\n \"0.563075\",\n \"0.56280845\",\n \"0.56193274\",\n \"0.5619154\",\n \"0.56054026\",\n \"0.5599282\",\n \"0.5598589\",\n \"0.5581906\",\n \"0.5581238\",\n \"0.5572171\",\n \"0.55697376\",\n \"0.5569385\",\n \"0.5569173\",\n \"0.5561457\",\n \"0.5561457\",\n \"0.5553911\",\n \"0.55437034\",\n \"0.55425775\",\n \"0.55377483\",\n \"0.5534767\",\n \"0.5531791\",\n \"0.5529767\",\n \"0.55265164\",\n \"0.55247873\",\n \"0.55234104\",\n \"0.5522862\",\n \"0.5521558\",\n \"0.55195236\",\n \"0.5515559\",\n \"0.55014986\",\n \"0.54935104\",\n \"0.54932046\",\n \"0.5486498\",\n \"0.5486498\",\n \"0.5486498\",\n \"0.5485747\",\n \"0.54850125\",\n \"0.54808813\",\n \"0.54656124\",\n \"0.54632616\",\n \"0.5460832\",\n \"0.5458418\",\n \"0.54570395\",\n \"0.545087\",\n \"0.5441506\",\n \"0.54388815\",\n \"0.54384303\",\n \"0.5434881\",\n \"0.5434309\",\n \"0.54319376\",\n \"0.5430871\",\n \"0.542526\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.67803866"},"document_rank":{"kind":"string","value":"0"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":912,"numItemsPerPage":100,"numTotalItems":95772,"offset":91200,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4NTYzNDEyOSwianRpIjoiMzAzODJlNjUtN2U2MC00MTQ3LThiNDUtYmRmZTYzYjE4OGE4Iiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3ODU2Mzc3MjksImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.kOoowQxGdK--YnLhp3Elq3HAC28j5oHJXlT9OcZ1BSaoUdL1ZDpPzKs1-Zltw8bawGKAFcVZgV8DzVJQwIM2DA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":95772,"numBytesParquet":1928375891}]},"discussionsStats":{"closed":1,"open":1,"total":2},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 9 3.4k | document stringlengths 9 87.4k | metadata dict | negatives listlengths 4 101 | negative_scores listlengths 4 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Random orthogonal weights Used by norm_weights(below), in which case, we are ensuring that the rows are orthogonal (i.e W = U \Sigma V, U has the same of rows, V has the same of cols) | def ortho_weight(ndim):
W = numpy.random.randn(ndim, ndim)
u, s, v = numpy.linalg.svd(W)
return u.astype('float32') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ortho_weight(ndim):\n W = rng_np.randn(ndim, ndim)\n u, _, _ = np.linalg.svd(W)\n return u.astype('float32')",
"def orthogonal_weight_tensor(shape):\n if len(shape) == 2 :\n if shape[0] == shape[1] :\n M = rng_np.randn(*shape).astype(np.float32)\n Q, R = np.linalg.qr(... | [
"0.72828364",
"0.6974768",
"0.68845916",
"0.66035664",
"0.659437",
"0.65169877",
"0.64774096",
"0.64329475",
"0.64217156",
"0.6396008",
"0.6323675",
"0.6312961",
"0.6248349",
"0.6240783",
"0.6206433",
"0.6184517",
"0.6155063",
"0.61467236",
"0.6141991",
"0.6136662",
"0.610007... | 0.7145966 | 1 |
Random weights drawn from a Gaussian | def norm_weight(nin, nout=None, scale=0.01, ortho=True):
if nout is None:
nout = nin
if nout == nin and ortho:
W = ortho_weight(nin)
else:
W = scale * numpy.random.randn(nin, nout)
return W.astype('float32') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_gaussian_random(self):\n u1 = generateRandom()\n u2 = generateRandom()\n if u1 < 1e-6:\n u1 = 1e-6\n return sqrt(-2 * log(u1)) * cos(2 * pi * u2)",
"def randomizeWeights(self, rand_distr):\n raise NotImplementedError",
"def _random_weight_initialization(se... | [
"0.69253546",
"0.6907757",
"0.6906672",
"0.6900726",
"0.6889791",
"0.6867258",
"0.6847343",
"0.6796425",
"0.67804855",
"0.6768728",
"0.67305326",
"0.6666161",
"0.6633314",
"0.66207737",
"0.65838647",
"0.65782684",
"0.655484",
"0.65189344",
"0.65089655",
"0.6487783",
"0.647785... | 0.0 | -1 |
Builds the entire computational graph used for trainning | def build_model(options,worddicts):
opt_ret=dict()
params=dict()
word_xr1_mask=tf.reverse(word_x1_mask,[1])
word_xr2_mask = tf.reverse(word_x2_mask, [1])
#embedding layer
word_embedding = norm_weight(options['n_words'], options['dim_word'])
if options['embedding']:
with open(optio... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build_graph(self):\n\t\tself._create_placeholders()\n\t\tself._create_embedding()\n\t\tself._create_recurrent_layers()\n\t\tself._create_de_embedding()\n\t\tself._create_loss()\n\t\tself._create_optimizer()\n\t\tself._create_summaries()",
"def build_graph(self):\n self._build_model()\n if self.... | [
"0.8359795",
"0.8300458",
"0.8242923",
"0.821802",
"0.8132827",
"0.8082611",
"0.80549866",
"0.80473834",
"0.8021888",
"0.79827213",
"0.7915069",
"0.7886922",
"0.78594065",
"0.77312005",
"0.77268434",
"0.77254844",
"0.77219415",
"0.76770824",
"0.7657952",
"0.76496536",
"0.7644... | 0.0 | -1 |
Connect to a running Quicken. Exits if unable to connect. | def connect(quicken_path: str = QUICKEN_EXE) -> Application:
print("Connecting to Quicken", end="")
tries = 0
while tries < MAX_TRIES:
try:
print(".", end="", flush=True)
quicken = Application().connect(path=quicken_path)
except ProcessNotFoundError:
tries... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def connect(self) -> None:\n self.terminate()\n self._new_client().connect(\n hostname=self.ip,\n port=self.port,\n username=self.username,\n password=self.password,\n look_for_keys=False,\n allow_agent=False)",
"def connect(self):\n... | [
"0.66176707",
"0.6467609",
"0.63279045",
"0.6277428",
"0.6249217",
"0.6218416",
"0.6204633",
"0.6191149",
"0.6153156",
"0.61359715",
"0.6128265",
"0.61268306",
"0.61261153",
"0.61195517",
"0.6083524",
"0.6077736",
"0.6041318",
"0.6038033",
"0.6034769",
"0.60110307",
"0.600610... | 0.75798625 | 0 |
Convert a downloaded investment transacton from Bought to BoughtX. | def switch_to_boughtx(window: WindowSpecification, account: str):
PAUSE_TIME = .1
window.type_keys("{TAB}")
window.type_keys("boughtx")
# Tab to transfer field.
import time
for i in range(7):
time.sleep(PAUSE_TIME)
window.type_keys("{TAB}")
time.sleep(PAUSE_TIME)
window... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def convert_to(self,Ttyp):\n\t\tself.Ttyp = Ttyp\n\t\t# Set up API query\n\t\tquery = {'a': str(self.amount), 'from': self.typ, 'to': self.Ttyp}\n\t\tr = requests.get('https://www.google.com/finance/converter', params=query)\n\n\t\t# Search HTML for conversion result\n\t\tsearchObj = re.search(r'(?:div id=currency... | [
"0.56667024",
"0.50495255",
"0.4845267",
"0.47580725",
"0.47404823",
"0.46964607",
"0.4660823",
"0.4660823",
"0.46399745",
"0.46127456",
"0.45958185",
"0.45786473",
"0.45572513",
"0.45539337",
"0.45170918",
"0.45087653",
"0.44872877",
"0.44859233",
"0.44562316",
"0.4449798",
... | 0.44296724 | 22 |
Print help for interactive mode. | def print_interact_help():
print("Commands:")
print("\tj - up")
print("\tk - down")
print("\t<Space> - switch Bought to BoughtX")
print("\t<Enter> - send Enter to Quicken")
print("\t<Escape> - quit") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def printhelp():",
"def print_help():\n\tprint(\"Help text\")",
"def print_help(self):\n print self.get_help()",
"def print_help():\n parser = parsersetup()\n parser.print_help()",
"def help():\n print \"Help comes to those who ask\"",
"def help():\n print(UI.HELP)",
"def print_h... | [
"0.828621",
"0.8249688",
"0.81687295",
"0.804865",
"0.79219943",
"0.78759795",
"0.7852676",
"0.77997595",
"0.7799676",
"0.7796095",
"0.77595407",
"0.76376337",
"0.7617434",
"0.7551285",
"0.75171584",
"0.7516465",
"0.7511863",
"0.7472519",
"0.74565256",
"0.74167585",
"0.741298... | 0.75909936 | 13 |
Pass select inputs to Quicken. | def interact(qwauto_window, window: WindowSpecification, account: str):
print_interact_help()
while True:
key = getch()
if key == bytes("\x1b", "utf-8") or key == bytes("\x03", "utf-8"):
return
elif key == bytes("j", "utf-8"):
window.type_keys("{DOWN}")
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def select(*args):",
"def select(*args):",
"def select(self):\r\n pass",
"def select(self):\n pass",
"def select(self):\n pass",
"def _select_datagrams(self, params):",
"def __call__(self, waveforms, telid, selected_gain_channel):",
"def run_select_examples():\n table = \"acto... | [
"0.6518565",
"0.6518565",
"0.58254296",
"0.57892376",
"0.57892376",
"0.55605894",
"0.5523021",
"0.54676974",
"0.54561675",
"0.5415206",
"0.541219",
"0.541219",
"0.535727",
"0.5280271",
"0.5219809",
"0.5214467",
"0.51719767",
"0.516225",
"0.50569713",
"0.5022268",
"0.5017095",... | 0.0 | -1 |
Parse command line arguments. | def parse() -> Namespace:
parser = ArgumentParser()
parser.add_argument(
"--config",
"-c",
default="qwauto.cfg",
help="Config file. Defaults to qwauto.cfg.",
)
return parser.parse_args() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_arguments(args):",
"def parse_command_line(self, argv):\n from optparse import OptionParser\n usage = \"usage: %prog [options]\"\n parser = OptionParser(usage)\n\n (options, args) = parser.parse_args(argv)",
"def parseArguments(self):\n iterator = iter(sys.argv[1:])... | [
"0.807208",
"0.74767",
"0.73985106",
"0.73932225",
"0.73173845",
"0.72599804",
"0.7232453",
"0.7222555",
"0.713585",
"0.7102058",
"0.71020466",
"0.7096281",
"0.7093058",
"0.70890576",
"0.7080071",
"0.70745754",
"0.70641047",
"0.70633066",
"0.70568484",
"0.7051162",
"0.7048470... | 0.0 | -1 |
Takes a DNA sequence and transforms it into a RNA sequence. | def to_rna(seq):
seq=seq.replace('A','U')
seq=seq.replace('T','A')
seq=seq.replace('C',"P")
seq=seq.replace('G','C')
seq=seq.replace('P','G')
return seq | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def to_rna(dna):\r\n return dna.translate(str.maketrans('ATGC','UACG'))",
"def translate_sequence(rna_sequence, genetic_code):\n #Crate an empty list to store AA sequence:\n AA_list = []\n # Convert all rna_sequence to upper case:\n rna_sequence=rna_sequence.upper()\n # Convert all rna_sequence... | [
"0.7669018",
"0.75413525",
"0.7380885",
"0.7314864",
"0.7216778",
"0.71945727",
"0.71105105",
"0.70800424",
"0.69325453",
"0.6911802",
"0.69019145",
"0.6812737",
"0.67335016",
"0.6728875",
"0.67027515",
"0.66922444",
"0.6666653",
"0.6590273",
"0.6528604",
"0.6417373",
"0.6373... | 0.79545945 | 0 |
Returns full filter name using information from name and filter_path provided. | def _get_full_filter_name(name, filter_path):
filename = os.path.basename(filter_path)
file_only = os.path.splitext(filename)[0]
filter_name = "{}.{}".format(file_only, name)
return filter_name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_filter_name(self):\n pass",
"async def get_filter(self, **kwargs: Any) -> str:\n return self._telescope.filter_name",
"def name(self) -> StringFilter:\n return self.__name",
"def get_exact_filter_by_name(self, name):\n for entry in self.filters:\n if (entry['typ... | [
"0.7273906",
"0.6495935",
"0.6320404",
"0.60196054",
"0.5943108",
"0.5935446",
"0.59197485",
"0.5804569",
"0.5769412",
"0.57038975",
"0.56500113",
"0.5647518",
"0.5580368",
"0.55199283",
"0.5509952",
"0.5478552",
"0.54714257",
"0.54514235",
"0.5424941",
"0.5420056",
"0.541518... | 0.83885926 | 0 |
Convert string to datetime object. | def _get_datetime(dt_value):
result = None
if result is None:
result = _get_datetime_from_format(dt_value, "%Y-%m-%d %H:%M:%S.%f %z")
if result is None:
result = _get_datetime_from_format(dt_value, "%Y-%m-%d %H:%M:%S.%f")
if result is None:
result = _get_datetime_from_format(dt_value, "%Y-%m-%d %H:%... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def str_to_datetime(str):\n\n\treturn (datetime.strptime(str, \"%Y-%m-%dT%H:%M:%S.%fZ\"))",
"def str2date(s):\n return datetime.strptime(s.decode(), \"%Y-%m-%d %H:%M:%S\")",
"def str_to_datetime(str):\n if not str:\n return str\n return datetime.datetime.strptime(str.split(\".\")[0], DEFAUL... | [
"0.78559595",
"0.7806504",
"0.76967424",
"0.76847774",
"0.7623683",
"0.7548493",
"0.7525062",
"0.7456067",
"0.744933",
"0.7443482",
"0.743952",
"0.7422947",
"0.73081374",
"0.7255298",
"0.72483724",
"0.7230942",
"0.72260016",
"0.722573",
"0.7221167",
"0.72035706",
"0.71921664"... | 0.0 | -1 |
Convert value provided into datetime object or None if not successful. The purpose of this method is to attempt to convert the value provided using the datetime format string also provided into a datetime object. If the value provided doesn't correspond to the datetime format provided then the datetime strptime method ... | def _get_datetime_from_format(dt_value, dt_format):
result = None
try:
result = datetime.datetime.strptime(dt_value, dt_format)
except ValueError:
pass
return result | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_datetime(datetime_str: Text) -> datetime.datetime:\n for str_format in cfg.datetime_str_formats:\n try:\n datetime_object = datetime.datetime.strptime(datetime_str, str_format)\n return datetime_object\n except ValueError:\n continue",
"def try_strptime... | [
"0.6947664",
"0.6938862",
"0.6867406",
"0.66824174",
"0.66588503",
"0.66575724",
"0.66326183",
"0.65770185",
"0.65647686",
"0.6552498",
"0.65447265",
"0.64434665",
"0.6437222",
"0.64192605",
"0.63708764",
"0.633034",
"0.6298367",
"0.62121534",
"0.6170873",
"0.61637217",
"0.61... | 0.74563617 | 0 |
Returns event data matching the event label specified or None. | def _get_last_event(device_event_file_path, event_label, timeout=1.0):
result = None
timedout = False
file_exists, remaining_timeout = _wait_for_event_file(device_event_file_path,
timeout)
if not file_exists:
timedout = True
return result, timedou... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _getData(self, label):\n\n try:\n return self._data[label]\n except KeyError:\n try:\n field = ATOMIC_FIELDS[label]\n except KeyError:\n return None\n else:\n return getattr(self, '_get' + field.meth_pl)()",
... | [
"0.6986888",
"0.6744777",
"0.6611872",
"0.6522634",
"0.6315734",
"0.6216993",
"0.6191255",
"0.5773424",
"0.57695127",
"0.57607955",
"0.5585442",
"0.55435276",
"0.55417466",
"0.54313314",
"0.54313314",
"0.5372679",
"0.535484",
"0.53264093",
"0.5309692",
"0.5295486",
"0.5274525... | 0.51357186 | 32 |
Returns list of event data history matching event_labels provided. | def _get_events_from_json_output(json_events, event_labels=None):
result = []
for json_object in json_events:
if json_object:
try:
event_dict = json.loads(json_object)
except ValueError as err:
logger.info(
"Failed to parse event log line; skipping. Err: {!r}".format(err)... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_event_history(self, event_labels=None, count=None, timeout=10.0):\n if event_labels:\n self.verify_event_labels(\n event_labels,\n error_message=\"{} get_event_history failed.\".format(\n self._device_name))\n timedout = False\n try:\n if count:\n hi... | [
"0.694545",
"0.69158",
"0.61652684",
"0.6104302",
"0.6035385",
"0.5999904",
"0.58629555",
"0.57623726",
"0.56984925",
"0.5656778",
"0.5638675",
"0.5638675",
"0.558742",
"0.55852455",
"0.55213106",
"0.5489068",
"0.5484949",
"0.5478935",
"0.54677135",
"0.5459749",
"0.545879",
... | 0.59801936 | 6 |
Returns list of event history matching event labels specified. | def _get_all_event_history(device_event_file_path, event_labels, timeout=10.0):
result = []
timedout = False
file_exists, remaining_timeout = _wait_for_event_file(device_event_file_path,
timeout)
if not file_exists:
timedout = True
return result, ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_event_history(self, event_labels=None, count=None, timeout=10.0):\n if event_labels:\n self.verify_event_labels(\n event_labels,\n error_message=\"{} get_event_history failed.\".format(\n self._device_name))\n timedout = False\n try:\n if count:\n hi... | [
"0.6621818",
"0.6082841",
"0.6029266",
"0.59327793",
"0.5852928",
"0.57673913",
"0.5739131",
"0.5739131",
"0.56805325",
"0.5663487",
"0.5648216",
"0.56215566",
"0.56196284",
"0.56168085",
"0.5608801",
"0.55719745",
"0.5566846",
"0.5565052",
"0.554374",
"0.5525908",
"0.5512215... | 0.64784175 | 1 |
Returns count of event history matching event label specified. | def _get_event_history_count(device_event_file_path, event_label, timeout=10.0):
result = 0
timedout = False
file_exists, remaining_timeout = _wait_for_event_file(device_event_file_path,
timeout)
if not file_exists:
timedout = True
return result, ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_event_history_count(self, event_label, timeout=10.0):\n\n self.verify_event_labels(\n [event_label],\n error_message=\"%s get_event_history_count failed.\" % self._device_name)\n\n try:\n count, timedout = _get_event_history_count(\n self.event_file_path, event_label, time... | [
"0.7249028",
"0.6927206",
"0.6022322",
"0.5747557",
"0.57219446",
"0.5649946",
"0.5648868",
"0.5637877",
"0.56110364",
"0.55659515",
"0.5556555",
"0.5548814",
"0.55457515",
"0.5541466",
"0.54923534",
"0.54807",
"0.547581",
"0.5464675",
"0.5451758",
"0.54230654",
"0.5416428",
... | 0.6786222 | 2 |
Returns list of event history matching event labels specified. | def _get_limited_event_history(device_event_file_path,
event_labels,
limit,
timeout=10.0):
result = []
timedout = False
file_exists, remaining_timeout = _wait_for_event_file(device_event_file_path,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_event_history(self, event_labels=None, count=None, timeout=10.0):\n if event_labels:\n self.verify_event_labels(\n event_labels,\n error_message=\"{} get_event_history failed.\".format(\n self._device_name))\n timedout = False\n try:\n if count:\n hi... | [
"0.6621429",
"0.64784956",
"0.60835177",
"0.60297257",
"0.5932725",
"0.5853597",
"0.5767491",
"0.5739707",
"0.5739707",
"0.5680975",
"0.566357",
"0.5648749",
"0.56219274",
"0.5620122",
"0.5609168",
"0.55721635",
"0.55673176",
"0.5565304",
"0.5544214",
"0.5526404",
"0.5512362"... | 0.56169987 | 14 |
Wait up to the timeout period for the event file to be created. | def _wait_for_event_file(event_file_path, timeout):
start_time = time.time()
end_time = start_time + timeout
while True:
timeout_remaining = end_time - time.time()
if timeout_remaining <= 0:
return (False, 0)
elif os.path.exists(event_file_path):
return (True, timeout_remaining)
else... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def heartbeat(self):\n timeout_at = time.time() + self.timeout\n\n try:\n os.utime(self.filename, (timeout_at, timeout_at))\n\n except OSError as err:\n if err.errno == errno.ENOENT:\n _LOGGER.warning('Lost lease file: %r', self.file... | [
"0.608407",
"0.5938035",
"0.5922863",
"0.5837459",
"0.5825981",
"0.57994986",
"0.57297707",
"0.571166",
"0.5705782",
"0.5664646",
"0.5608379",
"0.56036955",
"0.5554165",
"0.5551678",
"0.55417126",
"0.5517896",
"0.54916334",
"0.5488666",
"0.5487971",
"0.5443709",
"0.54428506",... | 0.71993464 | 0 |
Initializes the log event parser. | def __init__(self, filters, event_file_path, device_name):
super().__init__(device_name=device_name)
self._filters_dict = {}
self.event_file_path = event_file_path
self.load_filters(filters) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self):\r\n super(LogParser, self).__init__([CmdQueryHandler(),\r\n UpdateQueryHandler(),\r\n StandardQueryHandler(),\r\n TimeLineHandler()])",
"def _init():\n global logg... | [
"0.72418875",
"0.64059067",
"0.63440645",
"0.6343518",
"0.6340042",
"0.62899333",
"0.62823147",
"0.62781703",
"0.62678313",
"0.626728",
"0.62312514",
"0.62240434",
"0.61479896",
"0.61318773",
"0.60906297",
"0.608568",
"0.60841614",
"0.6065981",
"0.60550433",
"0.60322374",
"0.... | 0.0 | -1 |
r"""Returns up to count elements of event data matching given list of event labels. | def get_event_history(self, event_labels=None, count=None, timeout=10.0):
if event_labels:
self.verify_event_labels(
event_labels,
error_message="{} get_event_history failed.".format(
self._device_name))
timedout = False
try:
if count:
history_results, t... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _count_level_events(count_list):\r\n if not len(count_list):\r\n return 0, 0, None\r\n number_events = 0\r\n number_multiple = 0\r\n max_multiple = count_list[0]\r\n for index, count in enumerate(count_list):\r\n if count_list[index] > 0:\r\n ... | [
"0.61019707",
"0.59583163",
"0.58984214",
"0.5834445",
"0.581567",
"0.57963496",
"0.5795657",
"0.57817817",
"0.57711196",
"0.5687446",
"0.5591363",
"0.5493502",
"0.54926115",
"0.5460798",
"0.545492",
"0.54505557",
"0.5433916",
"0.54291666",
"0.540299",
"0.5402683",
"0.5393978... | 0.0 | -1 |
Returns count of event history matching event label specified. | def get_event_history_count(self, event_label, timeout=10.0):
self.verify_event_labels(
[event_label],
error_message="%s get_event_history_count failed." % self._device_name)
try:
count, timedout = _get_event_history_count(
self.event_file_path, event_label, timeout=timeout)
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_count_by_label(self, label=None):\n if label is None:\n return len(self.data)\n else:\n return sum(1 for d in self.data if d.pred == label)",
"def _get_event_history_count(device_event_file_path, event_label, timeout=10.0):\n result = 0\n timedout = False\n\n file_e... | [
"0.6927206",
"0.6786222",
"0.6022322",
"0.5747557",
"0.57219446",
"0.5649946",
"0.5648868",
"0.5637877",
"0.56110364",
"0.55659515",
"0.5556555",
"0.5548814",
"0.55457515",
"0.5541466",
"0.54923534",
"0.54807",
"0.547581",
"0.5464675",
"0.5451758",
"0.54230654",
"0.5416428",
... | 0.7249028 | 0 |
Takes an event label pattern, and returns a dictionary of matching event labels. | def get_event_label_dict(self, pattern=None):
if pattern is None:
return {key: value.pattern for key, value in self._filters_dict.items()}
else:
try:
result_dict = {}
regex = re.compile(pattern)
for event_label in list(filter(regex.match, list(self._filters_dict))):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_event_labels(self, pattern=None):\n\n if pattern is None:\n return list(self._filters_dict.keys())\n else:\n try:\n regex = re.compile(pattern)\n return list(filter(regex.match, list(self._filters_dict.keys())))\n except Exception as err:\n raise errors.ParserError... | [
"0.705301",
"0.5967765",
"0.56136435",
"0.54736334",
"0.5449883",
"0.5353754",
"0.53004324",
"0.5285208",
"0.522042",
"0.5197204",
"0.50947785",
"0.5073371",
"0.49641836",
"0.49383032",
"0.4924246",
"0.491624",
"0.49161154",
"0.4893664",
"0.4855615",
"0.48546898",
"0.481552",... | 0.8060473 | 0 |
Takes an event label pattern, and returns a list of matching event labels. | def get_event_labels(self, pattern=None):
if pattern is None:
return list(self._filters_dict.keys())
else:
try:
regex = re.compile(pattern)
return list(filter(regex.match, list(self._filters_dict.keys())))
except Exception as err:
raise errors.ParserError(
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_event_label_dict(self, pattern=None):\n\n if pattern is None:\n return {key: value.pattern for key, value in self._filters_dict.items()}\n else:\n try:\n result_dict = {}\n regex = re.compile(pattern)\n for event_label in list(filter(regex.match, list(self._filters_dict... | [
"0.62472373",
"0.5896674",
"0.5756939",
"0.56767726",
"0.56703365",
"0.5641349",
"0.5620617",
"0.5609375",
"0.55089414",
"0.5484202",
"0.53388613",
"0.53148586",
"0.5300112",
"0.52978414",
"0.5287111",
"0.52725494",
"0.5258854",
"0.52532655",
"0.523032",
"0.52248114",
"0.5203... | 0.8007184 | 0 |
r"""Returns the most recent matching event for each item in the list of event labels. | def get_last_event(self, event_labels=None, timeout=1.0):
if event_labels is None:
event_labels = [None]
else:
self.verify_event_labels(
event_labels,
error_message="%s get_last_event failed." % self._device_name)
results = []
any_timed_out = False
try:
for ev... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unique_event_labels(event_list):\n\n if isinstance(event_list, dcase_util.containers.MetaDataContainer):\n return event_list.unique_event_labels\n\n else:\n labels = []\n for event in event_list:\n if 'event_label' in event and event['event_label'] not in labels:\n ... | [
"0.60390705",
"0.5920253",
"0.5658713",
"0.56303453",
"0.55317956",
"0.53718317",
"0.5366211",
"0.534492",
"0.5342187",
"0.5305846",
"0.5221964",
"0.5214762",
"0.51907045",
"0.51822054",
"0.5040197",
"0.50265944",
"0.50078565",
"0.500767",
"0.50071764",
"0.5002304",
"0.49976"... | 0.5869022 | 2 |
r"""Return the matching group of the event label regex if one is found. | def get_last_event_state(self,
event_label,
event_name=None,
raise_error=False,
timeout=1.0,
group_index=0):
if not event_name:
event_name = event_label
result = self.get_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def group(self, group_num):\n if self.rematch is None:\n return None\n else:\n return self.rematch.group(group_num)",
"def _reg_catch(reg_ex, text, group_id=1):\n\n\tmatch = re.search(reg_ex, text)\n\tif match:\n\t\treturn match.group(group_id)\n\telse:\n\t\treturn None",
"d... | [
"0.6243117",
"0.60847455",
"0.6034069",
"0.60160875",
"0.5840702",
"0.5764992",
"0.56929356",
"0.56208205",
"0.5490368",
"0.5478569",
"0.5462098",
"0.5397177",
"0.53950393",
"0.53933126",
"0.53859985",
"0.5336552",
"0.5291058",
"0.52490413",
"0.5186651",
"0.5180022",
"0.51639... | 0.5116134 | 27 |
Device's event file is used to identify unmatched reboot events. | def get_unexpected_reboots(self):
_, remaining_bootups = self.get_unmatched_events(
event_cause_label="basic.reboot_trigger",
event_effect_label="basic.bootup")
return remaining_bootups | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_load_events_split(self):\n command = \\\n '{0} -g --min-length 0'.format(\n os.path.join(self.datadir, 'monol_testB.evt'))\n hen.read_events.main(command.split())\n new_filename = os.path.join(self.datadir,\n 'monol_testB_nu... | [
"0.5753642",
"0.54424083",
"0.5393087",
"0.5320064",
"0.5308535",
"0.5210652",
"0.51933116",
"0.51693404",
"0.51566905",
"0.51518387",
"0.51013607",
"0.50530034",
"0.50432056",
"0.50353235",
"0.5020813",
"0.5017145",
"0.50081027",
"0.49828738",
"0.49710074",
"0.49652424",
"0.... | 0.5340216 | 3 |
Device's event file is used to identify unmatched events. | def get_unmatched_events(self,
event_cause_label="basic.reboot_trigger",
event_effect_label="basic.bootup"):
event_cause_list = [] # Cause events matching event_cause_label
event_match_list = [
] # EventMatch objects holding events matched together bas... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_load_events_split(self):\n command = \\\n '{0} -g --min-length 0'.format(\n os.path.join(self.datadir, 'monol_testB.evt'))\n hen.read_events.main(command.split())\n new_filename = os.path.join(self.datadir,\n 'monol_testB_nu... | [
"0.623223",
"0.6196645",
"0.6019667",
"0.5771392",
"0.5714897",
"0.56999695",
"0.5675953",
"0.5658694",
"0.5624671",
"0.5622697",
"0.56063",
"0.5586675",
"0.55478656",
"0.55121064",
"0.54880583",
"0.5487537",
"0.547829",
"0.5458272",
"0.54574615",
"0.54206586",
"0.5417131",
... | 0.0 | -1 |
Load JSON filter file specified. | def load_filter_file(self, filter_path):
logger.debug("Adding filter file {}", filter_path)
try:
with open(filter_path, "r") as filter_file:
try:
json_filter_data = json.load(filter_file)
except Exception as err:
msg = "Unable to parse filter file {} as a json file. {!r... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _load_filter_directory(self, filter_path):\n try:\n logger.debug(\"Adding filters from directory {}\", filter_path)\n for filter_file in os.listdir(filter_path):\n if filter_file.endswith(\".json\"):\n filter_file_path = os.path.join(filter_path, filter_file)\n self.load_f... | [
"0.6793281",
"0.66293055",
"0.6573929",
"0.63865566",
"0.63719606",
"0.6308072",
"0.62924355",
"0.6278985",
"0.62667835",
"0.61862415",
"0.6185541",
"0.61825424",
"0.61428314",
"0.6138989",
"0.61013216",
"0.6093863",
"0.60882455",
"0.60664535",
"0.6053399",
"0.60379034",
"0.6... | 0.7409831 | 0 |
Parser line against filters and write JSON result to event_file provided. | def process_line(self,
event_file,
raw_log_line,
header_length=29,
log_filename=""):
event_data = {}
for filter_name, regex in self._filters_dict.items():
match = regex.search(raw_log_line)
if match:
match_data = ma... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def write_filter_spec(filters, filename):\n data = export_filters(filters)\n with open(filename, 'w') as fp:\n json.dump(data, fp, indent = 4)",
"def filter_json_file(filename, filters_list):\n filename = filename.replace(\" \", \"\")\n print(\"Filters List {}\".format(filters_list))\n if i... | [
"0.61318433",
"0.59134746",
"0.5879075",
"0.5599995",
"0.5580844",
"0.5461981",
"0.54279864",
"0.5343064",
"0.5231513",
"0.52051693",
"0.51518404",
"0.51461333",
"0.51446676",
"0.51235896",
"0.506409",
"0.50508374",
"0.5050683",
"0.5035986",
"0.5034059",
"0.5006907",
"0.49897... | 0.70475507 | 0 |
Verifies event_labels in correct format and exist. | def verify_event_labels(self, event_labels, error_message=""):
if event_labels is not None and not isinstance(event_labels, list):
raise errors.ParserError("{} Expecting event_labels to be a list "
"or None but received {} instead.".format(
err... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def check_validity_label(labels):\n # Event is None -> All other values are None\n if labels[3] == 0:\n for i in xrange(5):\n if labels[i] != 0:\n return False\n return True\n \n # If two roles have the same object return False\n for i in xrange(3):\n f... | [
"0.6702047",
"0.64607334",
"0.63460994",
"0.6305003",
"0.6098443",
"0.60897875",
"0.6071821",
"0.59971875",
"0.5907106",
"0.58770484",
"0.5840349",
"0.5821878",
"0.58109576",
"0.58091444",
"0.58057487",
"0.57937926",
"0.57756233",
"0.57385564",
"0.5728577",
"0.5722915",
"0.57... | 0.78669137 | 0 |
Waits up to timeout seconds for event labels to appear in device logs. | def wait_for_event_labels(self,
event_labels,
raise_error=False,
timeout=20.0,
start_datetime=None):
self.verify_event_labels(
event_labels,
error_message="{} wait_for_event_labels failed.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def wait_for_event_timeout(event):\n received = event.wait(2)\n name = threading.current_thread().getName()\n print \"Waited with timeout, got {}, name {}\".format(received, name)",
"def listen(self, timeout=2):\n start = time.monotonic()\n while (time.monotonic()-start) < timeout:\n ... | [
"0.6301212",
"0.585833",
"0.5724939",
"0.56652474",
"0.55515707",
"0.5549659",
"0.5532575",
"0.54798186",
"0.5474939",
"0.54436684",
"0.53312016",
"0.5307921",
"0.5296047",
"0.5280927",
"0.527302",
"0.52095646",
"0.5194303",
"0.51938176",
"0.5153732",
"0.51507413",
"0.514181"... | 0.69714695 | 0 |
Adds filter dictionary expression from filter_path specified. | def _add_filter(self, filter_list, filter_path):
if "name" not in filter_list:
raise errors.ParserError(
"Loading filter-file {} failed. "
"Missing 'name' key in filter object '{!r}'.".format(
filter_path, filter_list))
if "regex_match" not in filter_list:
raise err... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def add_filter(self, filter):\n self._filters.append(filter.as_dict())",
"def add_filter(self, name: str, value: any):\n self.filters[name] = value",
"def _add_filters(self, filter_list, filter_path):\n if not isinstance(filter_list, list):\n raise errors.ParserError(\n \"Loading... | [
"0.6170425",
"0.6151738",
"0.59039634",
"0.5895332",
"0.58122355",
"0.56957275",
"0.56685686",
"0.554609",
"0.5538691",
"0.55265987",
"0.5505833",
"0.5505171",
"0.5495749",
"0.54955846",
"0.5494427",
"0.54883003",
"0.5422577",
"0.53739333",
"0.5323809",
"0.51964414",
"0.51853... | 0.67896575 | 0 |
Adds filters loaded from file_name to list of filters to use. | def _add_filters(self, filter_list, filter_path):
if not isinstance(filter_list, list):
raise errors.ParserError(
"Loading filter-file {} failed. "
"Expecting value of 'filter_list' entry to be a list "
"but instead its a {}.".format(filter_path, type(filter_list)))
for cur_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_filters(self, names, interp=True, lamb=None, filterLib=None):\n with self as s:\n filters = [s._load_filter(fname, interp=interp, lamb=lamb)\n for fname in names]\n return(filters)",
"def load_filters(self, names, interp=True, lamb=None, filterLib=None):\n ... | [
"0.6986275",
"0.6970435",
"0.6918564",
"0.6674499",
"0.65343827",
"0.65334064",
"0.65036386",
"0.630778",
"0.6270512",
"0.61921537",
"0.6088287",
"0.60821855",
"0.60370624",
"0.59813523",
"0.59784156",
"0.59227353",
"0.5910277",
"0.59046036",
"0.59046036",
"0.59046036",
"0.58... | 0.7120908 | 0 |
Loads every .json file found in filter_path specified. | def _load_filter_directory(self, filter_path):
try:
logger.debug("Adding filters from directory {}", filter_path)
for filter_file in os.listdir(filter_path):
if filter_file.endswith(".json"):
filter_file_path = os.path.join(filter_path, filter_file)
self.load_filter_file(filt... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_json_files(self, filter_fn=None):\n def filter_function(f):\n return f is not None and f.endswith(\".json\")\n if not filter_fn:\n filter_fn = filter_function\n files = self.filter_files(None,filter_fn)\n dicts = []\n for f in files:\n w... | [
"0.73628515",
"0.6963622",
"0.6615014",
"0.6268389",
"0.6248232",
"0.62429833",
"0.6187038",
"0.617747",
"0.6000327",
"0.59399736",
"0.58981717",
"0.5885145",
"0.5863954",
"0.58593535",
"0.58425856",
"0.5793319",
"0.5789873",
"0.57630044",
"0.571526",
"0.57100266",
"0.5706684... | 0.7727016 | 0 |
Load JSON filter files or directories specified. | def load_filters(self, filters):
if not filters:
return
if not isinstance(filters, list):
raise errors.ParserError("Expecting 'filters' value to be a list "
"but instead its a {}.".format(type(filters)))
for filter_path in filters:
if not os.path.exists(filte... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _load_filter_directory(self, filter_path):\n try:\n logger.debug(\"Adding filters from directory {}\", filter_path)\n for filter_file in os.listdir(filter_path):\n if filter_file.endswith(\".json\"):\n filter_file_path = os.path.join(filter_path, filter_file)\n self.load_f... | [
"0.75228626",
"0.7294747",
"0.6376279",
"0.6365132",
"0.6188679",
"0.61364406",
"0.60583746",
"0.6027795",
"0.5960382",
"0.59213805",
"0.59065545",
"0.59002966",
"0.5861516",
"0.58332425",
"0.58193207",
"0.5805523",
"0.57714075",
"0.57449955",
"0.5655958",
"0.564419",
"0.5624... | 0.65141755 | 2 |
Locates a datetime.datetime closest to target datetime. | def _nearest_datetime(self, datetime_list, target_datetime):
if not datetime_list:
raise errors.ParserError(
"Input parameter datetime_list length is zero. Required"
" parameters: [datetime.datetime], datetime.datetime")
work_list = [entry for entry in datetime_list if entry < target_d... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _closest_date(target_dt, date_list, before_target=None) -> datetime.date | None:\n\n def time_before(d):\n return target_dt - d if d <= target_dt else datetime.timedelta.max\n\n def time_after(d):\n return d - target_dt if d >= target_dt else datetime.timedelta.max\n\n def any_time(d):\n... | [
"0.6702089",
"0.6500694",
"0.64598507",
"0.585127",
"0.57860357",
"0.56574386",
"0.5651094",
"0.56321347",
"0.56310844",
"0.55818236",
"0.5565437",
"0.554823",
"0.54743797",
"0.5420503",
"0.5417901",
"0.526718",
"0.52564967",
"0.52448344",
"0.52256316",
"0.5214709",
"0.519476... | 0.7585258 | 0 |
Ask a yes/no question via raw_input() and return their answer. "question" is a string that is presented to the user. "default" is the presumed answer if the user just hits . It must be "yes" (the default), "no" or None (meaning an answer is required of the user). The "answer" return value is one of "yes" or "no". | def query_yes_no(question, default="yes"):
valid = {"yes": True, "y": True, "ye": True,
"no": False, "n": False}
if default is None:
prompt = " [y/n] "
elif default == "yes":
prompt = " [Y/n] "
elif default == "no":
prompt = " [y/N] "
else:
raise ValueErr... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def query_yes_no(question, default=\"yes\"):\n valid = {\"yes\":\"yes\", \"y\":\"yes\", \"ye\":\"yes\",\n \"no\":\"no\", \"n\":\"no\"}\n if default == None:\n prompt = \" [y/n] \"\n elif default == \"yes\":\n prompt = \" [Y/n] \"\n elif default == \"no\":\n promp... | [
"0.85728776",
"0.85720545",
"0.8546383",
"0.85399234",
"0.8515463",
"0.8507957",
"0.85060245",
"0.85055596",
"0.8505435",
"0.8505435",
"0.8505435",
"0.8505435",
"0.8505435",
"0.85020584",
"0.8500583",
"0.8498423",
"0.8496705",
"0.8496254",
"0.8496254",
"0.8489677",
"0.8488822... | 0.8503884 | 19 |
Helper function used to make symlinks. Will delete existing folder/file/folder tree in the destination location | def make_symlink(dst, src, silently_move=False):
dst_dir = os.path.dirname(dst.rstrip(os.path.sep))
if not os.path.isdir(dst_dir):
os.makedirs(dst_dir)
# get a temporary directory
if os.path.exists(dst):
if silently_move or (((os.path.isfile(dst) or (os.path.isdir(dst)) and
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_symlinks(target_dir: os.PathLike, symlinks_to_create: List[os.PathLike]):\n for src_path in symlinks_to_create:\n trg_path = os.path.join(target_dir, os.path.basename(src_path))\n\n if os.path.islink(src_path):\n # Let's not create symlinks to symlinks\n # Since dr... | [
"0.6967626",
"0.6624714",
"0.6522659",
"0.6467656",
"0.63707364",
"0.63626695",
"0.6314641",
"0.6309487",
"0.62151253",
"0.62142515",
"0.6165706",
"0.6114075",
"0.6099955",
"0.6079026",
"0.6061869",
"0.60418844",
"0.60241526",
"0.5999441",
"0.5954477",
"0.5945246",
"0.5912213... | 0.5949081 | 19 |
Function that creates wiki pages from a template by looking at teams that are registered for a challenge. The teams that have a wiki made for them Are stored into a trackerTable that has columns wikiSynId, and teamId | def create_team_wikis(syn, synid, templateid, tracker_table_synid):
challenge_ent = syn.get(synid)
challenge_obj = utils.get_challenge(challenge_ent)
registered_teams = syn._GET_paginated(
"/challenge/{}/challengeTeam".format(challenge_obj['id']))
for i in registered_teams:
submitted_te... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def team_wiki_index_page(request):\n if isinstance(request.group, Team):\n # Find wiki index.\n try:\n page = request.group.content_objects(WikiPage).get(slug=DEFAULT_INDEX)\n except WikiPage.DoesNotExist:\n page = None\n return {\n 'team_wiki_index_p... | [
"0.59659106",
"0.5459703",
"0.5446284",
"0.5292902",
"0.5168371",
"0.51078725",
"0.5103085",
"0.5090617",
"0.5079518",
"0.507277",
"0.50709975",
"0.5061508",
"0.505984",
"0.5059186",
"0.50466794",
"0.50433093",
"0.5030929",
"0.50159186",
"0.4994493",
"0.49905354",
"0.49869752... | 0.8026079 | 0 |
Archive the submissions for the given evaluation queue and store them in the destination synapse folder. | def archive_writeup(syn, evaluation, stat="VALIDATED", reArchive=False):
if type(evaluation) != synapseclient.Evaluation:
evaluation = syn.getEvaluation(evaluation)
print("\n\nArchiving", evaluation.id, evaluation.name)
print("-" * 60)
for sub, status in syn.getSubmissionBundles(evaluation, st... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def store(self, results):\n filename = self.get_archive_file_path(results)\n results.dump(filename)",
"def _archive(self,pools=['backup','archive'],verbose=True,dry_run=False):\n\t\tif type(pools) is not list:\n\t\t\tpools = [pools]\n\n\t\t_start = datetime.today()\n\t\tself.archive_bytes = 0\n\t\t... | [
"0.5692195",
"0.56353605",
"0.5609163",
"0.5514673",
"0.5481283",
"0.546587",
"0.5450681",
"0.54277956",
"0.5391405",
"0.5389693",
"0.5242145",
"0.5174583",
"0.5116506",
"0.5114481",
"0.5114352",
"0.51136255",
"0.51075226",
"0.5086116",
"0.50756234",
"0.50755244",
"0.50661904... | 0.6239523 | 0 |
Return the API server status. Return "Alive!" if this API server is online. | def get(self):
# Return a plain text response
return self.plain_text_response("Alive!", 200) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_status(self):\n if self.status:\n print(f\"Server '{self.server_name}' is online\")\n else:\n print(f\"Server '{self.server_name}' is offline\")",
"def server_status(self):\n return self._server_status",
"def server_status(self, timeout=None):\n return ... | [
"0.7915326",
"0.74814963",
"0.7172331",
"0.71697026",
"0.7054023",
"0.70453274",
"0.7006416",
"0.6952428",
"0.69252586",
"0.68447316",
"0.68376654",
"0.68072945",
"0.67782044",
"0.6771794",
"0.6770531",
"0.67591166",
"0.6724188",
"0.67120594",
"0.67039037",
"0.6622279",
"0.66... | 0.0 | -1 |
This function verifies that the core connection information (Base URL and API credentials) has been defined. | def verify_core_connection():
if not base_url or not api_credentials:
retrieve_connection_info()
return | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def check_config(self) -> None:\n try:\n await self._check_api()\n except aiohttp.ClientError as e:\n raise ConnectionError(str(e))",
"def _check_settings(self):\n if self.api_key is None:\n raise ImproperlyConfigured(\"You must provide an API key.\")",... | [
"0.7091963",
"0.691162",
"0.6798902",
"0.6735169",
"0.6727152",
"0.6715415",
"0.6694974",
"0.65938854",
"0.6511822",
"0.64764845",
"0.64648366",
"0.64648366",
"0.6392897",
"0.6391157",
"0.63395435",
"0.6293454",
"0.6261399",
"0.6242068",
"0.6227387",
"0.6191004",
"0.61778796"... | 0.87422466 | 1 |
This function initializes and defines the global variables for the connection information. | def retrieve_connection_info():
# Define the global variables at this module level
global base_url
global api_credentials
base_url, api_credentials = core.get_connection_info()
return | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self):\n\n\t\tself.connection = self.get_connection()",
"def init_connection(self, connection):",
"def initialize():\n\t\tDBHelper.con = mdb.connect('localhost', 'root', 'sensepass', 'sensecambrowser')",
"def __init__(self):\n self.connections = {}",
"def initialize(self):\n if n... | [
"0.7339458",
"0.71884817",
"0.69318736",
"0.68917626",
"0.6795007",
"0.6791531",
"0.6775468",
"0.67656016",
"0.6697627",
"0.66974974",
"0.6696093",
"0.6673183",
"0.6663659",
"0.6634123",
"0.663047",
"0.662494",
"0.65886277",
"0.6583204",
"0.6544304",
"0.6533463",
"0.65145475"... | 0.6480596 | 24 |
This function retrieves a value for a specific field from the JSON data for a user. | def get_json_field(json_data, field_names):
field_value = None
if isinstance(field_names, str):
field_value = json_data.get(field_names)
elif isinstance(field_names, tuple) or isinstance(field_names, list):
if len(field_names) == 2:
field_one, field_two = field_names
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def username(self):\n return json_loads(self.user_json).get('username')",
"def _getValue(self, field):\n if self._contents.has_key(field):\n return self._contents[field]\n else:\n return None",
"def user_id(self):\n return json_loads(self.user_json).get('id')",
"def ... | [
"0.639812",
"0.6305945",
"0.62547666",
"0.6247458",
"0.62376595",
"0.6212003",
"0.6189185",
"0.61481035",
"0.60158163",
"0.59962857",
"0.598345",
"0.5971689",
"0.59642",
"0.59490067",
"0.59454596",
"0.59374005",
"0.5929378",
"0.59204847",
"0.5918454",
"0.59127593",
"0.5897378... | 0.6090247 | 8 |
This function populates a dictionary with the user information retrieved from the API response. | def parse_user_fields(json_data):
# Populate the fields
user_info = {}
for db_field, json_field in Users.UserJSON.fields.items():
try:
user_info[db_field] = get_json_field(json_data, json_field)
if db_field == 'user_address_street':
user_info[db_field] = user_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_user_details(self, response):\n fullname, first_name, last_name = self.get_user_names(\n response.get(\"fullName\"),\n response.get(\"firstName\"),\n response.get(\"lastName\"),\n )\n return {\n \"username\": response.get(\"username\"),\n ... | [
"0.75237215",
"0.731564",
"0.73052174",
"0.7186673",
"0.7064081",
"0.7058256",
"0.7032413",
"0.7027056",
"0.69960225",
"0.6938776",
"0.6933388",
"0.6848777",
"0.6825046",
"0.6807867",
"0.6727831",
"0.6707013",
"0.6707013",
"0.6672453",
"0.6665079",
"0.6633706",
"0.660671",
... | 0.5837845 | 95 |
This function obtains the User ID for a user by querying the API against the user's email address or username. | def get_user_id(lookup_value, lookup_type='email'):
lookup_type = _validate_lookup_type(lookup_type)
if '@' not in lookup_value:
exception_msg = f"The lookup type is 'email' but '{lookup_value}' is not a valid email address."
raise errors.exceptions.LookupMismatchError(exception_msg)
user_da... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_user(self, user_id):\n uri = 'users/' + user_id\n return self.make_request(uri)",
"def get_user_id(self, name):\n if '@' in name:\n params = {\n 'method': 'flickr.people.findByEmail',\n 'find_email': name\n }\n else:\n par... | [
"0.7441939",
"0.74166447",
"0.7410997",
"0.7257471",
"0.72548115",
"0.72228175",
"0.7203332",
"0.7200153",
"0.71400255",
"0.7136",
"0.71150976",
"0.71053267",
"0.71034515",
"0.70817196",
"0.70784605",
"0.70483553",
"0.70483553",
"0.70483553",
"0.7043418",
"0.7042949",
"0.7037... | 0.6876447 | 49 |
This function validates a lookup type to ensure that it is acceptable to the primary function call. | def _validate_lookup_type(_lookup_type, _retrieval_value='id'):
_accepted_lookup_values = {
'id': ('email', 'username'),
'username': ('id', 'email'),
'email': ('id', 'username')
}
if _retrieval_value == "id":
if _lookup_type not in _accepted_lookup_values.get(_retrieval_value... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def CheckType(self, *args, **kwargs):\n pass",
"def validate(t):\n return _dispatcher[type(t)](t)",
"def _validate_type(self, key, type_):\n if type_ is None:\n type_ = \"\"\n \n if not isinstance(type_, (str, unicode)):\n raise TypeError(\"FileLink.type sho... | [
"0.6280784",
"0.60769475",
"0.60204196",
"0.5949436",
"0.5938662",
"0.5920147",
"0.5846806",
"0.58452845",
"0.5788779",
"0.57818824",
"0.577826",
"0.57727426",
"0.57689863",
"0.57664907",
"0.57622844",
"0.5745901",
"0.5737489",
"0.5723846",
"0.5698527",
"0.5692912",
"0.56907"... | 0.7827961 | 0 |
This function obtains the primary email address for a user by looking up their User ID or username. | def get_primary_email(lookup_value, lookup_type="id"):
lookup_type = _validate_lookup_type(lookup_type, 'email')
user_data = core.get_data('people', lookup_value, lookup_type, return_json=True)
primary_email = user_data['emails'][0]['value']
return primary_email | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_email_address(user_id: UserID) -> str:\n email_address = db.session \\\n .query(DbUser.email_address) \\\n .filter_by(id=user_id) \\\n .scalar()\n\n if email_address is None:\n raise ValueError(\n f\"Unknown user ID '{user_id}' or user has no email address\"\n ... | [
"0.77690506",
"0.77565724",
"0.76010233",
"0.7498759",
"0.7349504",
"0.7336229",
"0.72988003",
"0.72099537",
"0.7158339",
"0.70910954",
"0.7052061",
"0.7027128",
"0.69666564",
"0.69346976",
"0.69088876",
"0.6837055",
"0.6816422",
"0.6793141",
"0.67788017",
"0.67773724",
"0.67... | 0.77739346 | 0 |
This function obtains the username for a user by looking up their User ID or email address. | def get_username(lookup_value, lookup_type="id"):
lookup_type = _validate_lookup_type(lookup_type, 'username')
user_data = core.get_data('people', lookup_value, lookup_type, return_json=True)
username = user_data['jive']['username']
return username | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_username(user_id):\n username = select(u.username for u in UserInformationData if u.user_id == user_id).first()\n\n return username",
"def get_username(self):\n if not self.is_valid():\n return None\n try:\n # NOTE: all emails stored in lower-case\n e... | [
"0.8161617",
"0.7873838",
"0.7810039",
"0.77785224",
"0.77628773",
"0.77615076",
"0.7744752",
"0.76252383",
"0.7569991",
"0.7569044",
"0.7556496",
"0.75094366",
"0.74189776",
"0.7349395",
"0.7343433",
"0.7337727",
"0.72996664",
"0.72889817",
"0.72484714",
"0.7235415",
"0.7233... | 0.7706719 | 7 |
This function constructs the URL to a user's profile. | def get_profile_url(lookup_value, lookup_type="id"):
if lookup_type == "username":
username = lookup_value
else:
username = get_username(lookup_value, lookup_type)
profile_url = f"{base_url}/people/{username}"
return profile_url | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def profile_url(self):\n return reverse(\"auth_profile\", args=[self.user.username])",
"def get_absolute_url(self):\n return '/profile/%s' % self.id",
"def get_absolute_url(self):\n\n return reverse('profile', args=[str(self.user.username)])",
"def get_absolute_url(self):\n return... | [
"0.8227132",
"0.7430972",
"0.71914357",
"0.6894003",
"0.6826512",
"0.6684108",
"0.6663101",
"0.6608801",
"0.6577758",
"0.6514719",
"0.6459156",
"0.64151084",
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"0.63838965",
"0.63838965",
"0.6374063",
"0.6371142",
"0.6349622",
"0.6319628",
"0.6292984"... | 0.7533327 | 1 |
This function identifies the content count for an individual REST API call. | def _get_paginated_content_count(_user_uri, _start_index, _count=100):
_content_uri = f"{base_url}/contents?filter=author({_user_uri})&count={_count}&startIndex={_start_index}"
_response = core.get_request_with_retries(_content_uri)
if _response.status_code == 200:
_response_json = _response.json()
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def count(self):\r\n url = '{0}/{1}'.format(self.get_url(), 'count')\r\n\r\n return http.Request('GET', url), parsers.parse_json",
"def get_resource_count(har_json):\n entries = har_json['log']['entries']\n\n resource_type_counts = Counter()\n\n for entry in entries:\n resource = en... | [
"0.68372214",
"0.6524679",
"0.6381083",
"0.634387",
"0.6243201",
"0.6172337",
"0.61580133",
"0.6127514",
"0.6106211",
"0.6097753",
"0.6074798",
"0.6067487",
"0.60662615",
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"0.60662615",
"0.60662615",
"0.6049658",
"0.60130095",
"0.6008954",
"0.6006984",
"0.5984527... | 0.67813146 | 1 |
This function obtains the number of content items created by a particular user. | def get_user_content_count(user_id, start_index=0):
# Define the variable to track the total content count and structure the user URI
total_count = 0
user_uri = f"{base_url}/people/{user_id}"
# Get the content count for the first 100 results and increment the total count accordingly
content_count =... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_usage_count(request, user_id):\n board_count = Member.objects.filter(user_id=user_id, is_creator=True).count()\n return Response({\"board_count\": board_count})",
"def get_total_items(self, user: User, transforms: Optional[List[Callable]] = None) -> int:",
"def count_revisions_by_user(self):\n ... | [
"0.6730025",
"0.6686577",
"0.6600662",
"0.6510088",
"0.6475355",
"0.6426317",
"0.6405162",
"0.63020605",
"0.6255534",
"0.61494267",
"0.6139892",
"0.6139045",
"0.60678715",
"0.6058692",
"0.60302025",
"0.6009511",
"0.6008887",
"0.59358513",
"0.59263605",
"0.5913929",
"0.5907688... | 0.74049693 | 0 |
This function returns a list of users followed by a particular user. | def get_people_followed(user_id, ignore_exceptions=False, return_type=list, start_index=0):
def _get_followed(_user_id, _ignore_exceptions=False, _start_index=0, _count=100):
"""This function performs the API call to get the users followed from a single GET request.
.. versionchanged:: 3.1.0
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def get_new_followers(self, bearer_token:str, user_id:str, after:str) -> list:\n\n headers = {\"Client-Id\": self.TWITCH_PARAMS['client_id'], \"Authorization\": f\"Bearer {bearer_token}\"}\n params = {\"to_id\": user_id, \"first\": 100}\n if after:\n params[\"after\"] = after\... | [
"0.7290584",
"0.7224232",
"0.71426654",
"0.7053847",
"0.7016795",
"0.6990444",
"0.69876266",
"0.6973309",
"0.6892305",
"0.6805332",
"0.67873687",
"0.6695358",
"0.6676869",
"0.66697973",
"0.66493213",
"0.6647961",
"0.6645527",
"0.6629329",
"0.66166395",
"0.6608287",
"0.6581198... | 0.6450729 | 32 |
This function performs the API call to get the users followed from a single GET request. | def _get_followed(_user_id, _ignore_exceptions=False, _start_index=0, _count=100):
_following_url = f"{base_url}/people/{_user_id}/@following?count={_count}" + \
f"&startIndex={_start_index}"
_response = core.get_request_with_retries(_following_url)
if _response.status_c... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def follows(self):\r\n request = http.Request('GET', '{0}/follows/'.format(self.get_url()))\r\n\r\n return request, parsers.parse_json",
"def get_followings(request):\n user_id = request.GET.get(\"user_id\")\n if not user_id:\n return {\"error\": \"User Id should be provided\"}, 400\n ... | [
"0.74524915",
"0.7451734",
"0.7411945",
"0.7273588",
"0.7230201",
"0.7144421",
"0.7144421",
"0.7144421",
"0.7020813",
"0.70104915",
"0.70104915",
"0.70104915",
"0.70104915",
"0.6976389",
"0.6941813",
"0.6930851",
"0.6921965",
"0.68312484",
"0.6744993",
"0.6698979",
"0.6666516... | 0.75183386 | 0 |
This function returns the most recent logins that have occurred in the environment. | def get_recent_logins(count=100, start_index=0):
# Verify that the core connection has been established
verify_core_connection()
# Perform and parse the query
query_url = f"{base_url}/people?sort=lastLoggedIn&" + \
f"fields=jive,emails,name&count={count}&startIndex={start_index}"
re... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_rolling_log_history():\n current_tag = get_current_tag()\n return get_log_history(current_tag)",
"def last_log(self) -> List:\n logs_list: List = os.listdir(LOGS_BASE_PATH)\n full_list = [os.path.join(LOGS_BASE_PATH, i) for i in logs_list]\n time_sorted_list: List = sorted(full... | [
"0.62533057",
"0.6127016",
"0.5962094",
"0.5580813",
"0.55602443",
"0.55220354",
"0.5503221",
"0.5459608",
"0.54517496",
"0.5433043",
"0.5422859",
"0.53946495",
"0.53740424",
"0.5363544",
"0.5360245",
"0.5341821",
"0.5305654",
"0.52805936",
"0.5263784",
"0.52597564",
"0.52460... | 0.6475265 | 0 |
19200 correspond to F and 9600 to S | def baudrate_cmd(self, baudrate):
if baudrate is 19200:
baudrate = "F"
else:
baudrate = "S"
return "*99!BR=bd\r".replace("bd", baudrate).encode() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def y2k_coding(n):\n if n < 60:\n return 2000 + n\n else:\n return 1900 + n",
"def twenty_seventeen():\n return 2017",
"def new_years_eve(year):\n return (year, DEC, 31)",
"def fv(rate, n_years):\n return pow(1 + rate, n_years)",
"def get_years(met_fname, nyear_spinup):\n pr... | [
"0.62622607",
"0.5538103",
"0.5387271",
"0.53655094",
"0.5281453",
"0.5275056",
"0.52705556",
"0.52415746",
"0.5233109",
"0.5232555",
"0.5198662",
"0.5185992",
"0.5181842",
"0.5156015",
"0.5150428",
"0.51500607",
"0.514978",
"0.5136431",
"0.51294935",
"0.50904584",
"0.5090403... | 0.0 | -1 |
Send command to get Device ID | def init_com(self):
self.__ser = serial.Serial(
self.__dev_no, self.__baudrate, timeout=self.__timeout)
# Stop the Continious Stream, avoid error
self.__ser.write(self.__api.esc_cmd())
self.__ser.write(self.__api.devid_cmd())
tmp = self.__ser.readline().decode... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def device_id(self):\n data = fcntl.ioctl(self._fd, _EVIOCGID, '\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00')\n idbus, idvendor, idproduct, idversion = struct.unpack(\"hhhh\", data)\n return idbus, idvendor, idproduct, idversion",
"def get_id(self):\n try:\n return self.inst.q... | [
"0.68931824",
"0.67137796",
"0.6710456",
"0.66909766",
"0.66231805",
"0.6570856",
"0.65618247",
"0.6559433",
"0.6478275",
"0.6471906",
"0.6348307",
"0.6279984",
"0.6250359",
"0.6236253",
"0.6222079",
"0.6214735",
"0.62019837",
"0.61913437",
"0.61772615",
"0.6175224",
"0.61653... | 0.0 | -1 |
Do not return anything, modify board inplace instead. | def solveSudoku(self, board: List[List[str]]) -> None:
row = collections.defaultdict(set)
col = collections.defaultdict(set)
block = collections.defaultdict(set)
pos = []
for i in range(9):
for j in range(9):
if board[i][j] != '.':
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def applyMove(self, (from_row,from_col), (to_row,to_col)):\n newboard = deepcopy(self)\n piece = newboard.board[from_row][from_col]\n newboard.board[from_row][from_col] = None\n newboard.board[to_row][to_col] = piece\n newboard.toplay = 'BLACK' if self.toplay == 'WHITE' else 'WHI... | [
"0.7664789",
"0.70971596",
"0.70476234",
"0.7024398",
"0.69861203",
"0.6829364",
"0.6778242",
"0.6727011",
"0.66938925",
"0.6692377",
"0.6625323",
"0.6625323",
"0.65893996",
"0.6565318",
"0.6564258",
"0.65587217",
"0.6539339",
"0.65249294",
"0.65223134",
"0.6520972",
"0.65202... | 0.0 | -1 |
Parse a type declaration from a str. | def LoadTypeDeclaration(self, content):
type_decl_unit = self._parser.Parse(content)
functions_by_name = {f_name: list(g) for f_name, g
in itertools.groupby(
type_decl_unit.funcdefs,
lambda f: f.name)}
interface_by_name = {i... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unparse_type(type_str):\n if not type_str.startswith('array'):\n return type_str\n arg_dim = type_str.lstrip('array')[0]\n data_type = type_str.lstrip('array')[1:]\n arg_type = \"vizgen.ndarray('\" + data_type + \"', \" + arg_dim + \")\"\n return arg_type",
"def ... | [
"0.6656149",
"0.6619672",
"0.66187406",
"0.6326907",
"0.632081",
"0.62572104",
"0.62192476",
"0.6218978",
"0.62022847",
"0.62020844",
"0.60300356",
"0.5892663",
"0.58687246",
"0.5863348",
"0.5820116",
"0.578828",
"0.5759169",
"0.57202244",
"0.56879276",
"0.56603414",
"0.56585... | 0.5025832 | 85 |
Parse a type declaration and convert it to a list of functions. | def LoadTypeDeclarationFromFile(self, type_decl_path):
with open(type_decl_path) as f:
return self.LoadTypeDeclaration(f.read()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def LoadTypeDeclaration(self, content):\n type_decl_unit = self._parser.Parse(content)\n functions_by_name = {f_name: list(g) for f_name, g\n in itertools.groupby(\n type_decl_unit.funcdefs,\n lambda f: f.name)}\n\n interface_... | [
"0.6756747",
"0.6038395",
"0.5836166",
"0.579168",
"0.5640722",
"0.558481",
"0.5549694",
"0.5523721",
"0.5480223",
"0.54721963",
"0.54591095",
"0.5423281",
"0.5347036",
"0.53366476",
"0.53262216",
"0.5262503",
"0.5250559",
"0.52312094",
"0.51606005",
"0.5130728",
"0.5127467",... | 0.4679416 | 56 |
Utility function to run operations in a thread but honors the thread limit | def run_in_a_thread(func, args, limit):
def get_active_threads():
active = 0
for t in Utility.__THREADS:
if t.isAlive():
active += 1
else:
Utility.__THREADS.remove(t)
return active
while get_acti... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_time_limit(arg):\n pass",
"async def test_exectution_limit_throttle(coresys: CoreSys, loop: asyncio.BaseEventLoop):\n\n class TestClass:\n \"\"\"Test class.\"\"\"\n\n def __init__(self, coresys: CoreSys):\n \"\"\"Initialize the test class.\"\"\"\n self.coresys = ... | [
"0.6147261",
"0.60309714",
"0.6018473",
"0.59771776",
"0.59549063",
"0.5948192",
"0.5915713",
"0.58854884",
"0.5860164",
"0.5856046",
"0.5856046",
"0.5810252",
"0.57848454",
"0.5737032",
"0.5730728",
"0.56780916",
"0.5657357",
"0.5654869",
"0.56539977",
"0.56539977",
"0.56349... | 0.7635067 | 0 |
Creates CIRD range notation (network) based on the currently configures network interfaces/adapters If scanning range was set at run time, it will just use that one | def __get_scanning_range(self):
if self.__network is not None:
return [self.__network]
networks = []
interfaces = netifaces.interfaces()
for data in interfaces:
ips = netifaces.ifaddresses(data)
for key, interface_data in ips.items():
f... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_dhcp_range(options, index):\n second_octet = 160 + index\n return \"192.%s.1.2-192.%s.255.254\" % (second_octet, second_octet)",
"def change_default_range(networks, number_excluded_ips,\n cut_from_start=True):\n for default_network in filter(\n lamb... | [
"0.6023686",
"0.581812",
"0.58151424",
"0.5770609",
"0.5480118",
"0.5452671",
"0.5420384",
"0.54121625",
"0.53247935",
"0.5291674",
"0.52649754",
"0.52291876",
"0.52005047",
"0.5171426",
"0.51680905",
"0.5166946",
"0.5145584",
"0.514271",
"0.51361144",
"0.51302284",
"0.512298... | 0.626305 | 0 |
Converts CIRD notation(network) to IP addresses and maps them to the network | def __get_potential_targets(self):
network_targets = {}
for network in self.__get_scanning_range():
ips = IPNetwork(network) # converts CIRD notation to IP addresses
targets = []
for ip in ips:
targets.append(ip)
print("Potential targets o... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self):\n self.networks = [\n ipaddress.ip_network(address)\n for address in self.addresses\n ]",
"def to_python(self, value):\n if isinstance(value, (ipaddress.IPv4Network, ipaddress.IPv6Network)):\n return value\n\n if val... | [
"0.6179653",
"0.61625284",
"0.604074",
"0.5831263",
"0.5788037",
"0.5781347",
"0.5674592",
"0.5664921",
"0.5541622",
"0.55340296",
"0.5520692",
"0.5473289",
"0.5460664",
"0.5441231",
"0.5440491",
"0.5407914",
"0.53967446",
"0.5378069",
"0.53610927",
"0.5327011",
"0.52733773",... | 0.0 | -1 |
Scans a given IP for specific open ports | def __scan_for_open_ports(self, ip, ports_to_scan):
ip = str(ip)
def run_scan(_port):
try:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.settimeout(self.__timeout)
result = sock.connect_ex((ip, _port))
if result... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def scan_ports(ip: Union[str, IPvAnyAddress]) -> ScanResults:\n if ip == 'localhost':\n ip = '127.0.0.1'\n ip = str(ip)\n\n nmap = nmap3.NmapScanTechniques()\n scan_result = nmap.nmap_tcp_scan(ip, args='-p0-')\n ports = scan_result[ip]['ports']\n\n # TODO: TEMP: Remove this line, debug onl... | [
"0.7841557",
"0.7183356",
"0.7178773",
"0.6932479",
"0.6745885",
"0.665516",
"0.6618246",
"0.6496563",
"0.6426189",
"0.64072084",
"0.63629407",
"0.6334954",
"0.6320099",
"0.62818193",
"0.6240517",
"0.62234575",
"0.6187895",
"0.61846787",
"0.61596686",
"0.61544794",
"0.6149629... | 0.78269833 | 1 |
Returns suitable targets to perform vulnerability scans on broken down by open ports | def get_targets(self, ports_to_scan):
t1 = datetime.now()
network_ips = self.__get_potential_targets()
for port in ports_to_scan:
self.targets.update({port: []})
print("Port scan in progress for the following open ports: {}".format(ports_to_scan))
for network, ips in... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_target_ports(self):\n return self.targets",
"def target_builder(target, ports, default_ports):\n methods = [\"http\", \"https\"]\n if not ports:\n ports = default_ports\n URL = []\n if target_type(target) != \"HTTP\":\n for port in ports:\n for method in method... | [
"0.69600135",
"0.6610526",
"0.65068066",
"0.6476772",
"0.6418622",
"0.6283991",
"0.62345856",
"0.601926",
"0.59702617",
"0.59546286",
"0.5941063",
"0.5938712",
"0.58558106",
"0.58512944",
"0.5773648",
"0.5758662",
"0.57098186",
"0.57098186",
"0.57013583",
"0.5695864",
"0.5672... | 0.64940965 | 3 |
Returns a map of what ports we can potentially hack services on and what exploits can do it | def get_vulnerable_ports(self):
self.__get_vulnerable_ports(modules.__path__[0])
return self.__vulnerable_ports | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def determine_ports():\n ports = [config('admin-port'), config('service-port')]\n return list(set(ports))",
"def _get_exposed_ports(debug_port):\n if not debug_port:\n return None\n\n return {\n # container port : host port\n debug_port: debug_port\n }"... | [
"0.6631425",
"0.658254",
"0.6252307",
"0.62312484",
"0.619172",
"0.6132367",
"0.6076404",
"0.60520476",
"0.6033354",
"0.602421",
"0.60065967",
"0.5940211",
"0.5909571",
"0.588566",
"0.58268833",
"0.5826848",
"0.5793208",
"0.57583857",
"0.5735731",
"0.5727579",
"0.56883043",
... | 0.6643077 | 0 |
Utility function that will recursively go through all of the RSF modules to find all of the exploits and will map all of the exploits that can be done to ports | def __get_vulnerable_ports(self, path):
files = os.listdir(path)
for file in files:
if file != "__init__.py" and ".pyc" not in file:
doc_path = "{}{}{}".format(path, os.sep, file)
if os.path.isfile(doc_path):
with open(doc_path, "r") as doc... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_exploits():\n results = {}\n for loader, name, ispkg in pkgutil.walk_packages(acsploit.exploits.__path__):\n m = loader.find_module(name).load_module(name)\n\n if not ispkg and hasattr(m, 'options') and hasattr(m, 'run'):\n exploit = name.replace('.', '/')\n result... | [
"0.5847549",
"0.5810903",
"0.575594",
"0.5318235",
"0.52766615",
"0.5236848",
"0.5217462",
"0.5192389",
"0.5159464",
"0.51455456",
"0.51056087",
"0.5068863",
"0.50141186",
"0.50089616",
"0.4964121",
"0.48492944",
"0.4848821",
"0.48147175",
"0.48122516",
"0.4812014",
"0.479382... | 0.46486104 | 36 |
play gradients norm_grad = np.linalg.norm(gradient) tone = self.f + (norm_grad 500.0) samples = self.generate_tone(self.fs, tone, self.duration).astype(np.float32) | def __call__(self, gradient):
audio_out = self.modem.convert_data_to_audio(gradient.flatten())
decoded_gradients = self.modem.convert_audio_to_floats(audio_out)
# if you want to regret being alive,
# self.stream.write(audio_out.tobytes())
return decoded_gradients.reshape(gradie... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def generateSound(amps_samples, channel_fs, sampleRate):\r\n\r\n samples_to_gen = len(amps_samples[0]) \r\n nb_channels = len(amps_samples)\r\n duration = samples_to_gen / sampleRate # in s\r\n\r\n \r\n t = np.linspace(0.0, duration, samples_to_gen) # Produces length of samples\r\n\r\n sines = ... | [
"0.57237077",
"0.5707015",
"0.5682976",
"0.56029904",
"0.55295414",
"0.5526577",
"0.55244416",
"0.5501788",
"0.5442099",
"0.5416417",
"0.5373929",
"0.5359383",
"0.5344165",
"0.5339903",
"0.53293294",
"0.53061014",
"0.5304661",
"0.5303725",
"0.53028196",
"0.5297751",
"0.528846... | 0.66777045 | 0 |
Checks if there are 3 digits the same. returns the repeating digit and its indices. | def check_if_has_3_repeated_digits(prime: str) -> (str, list):
num_dict = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0, 8: 0, 9: 0}
for digit in prime:
num_dict[int(digit)] += 1
for k, v in num_dict.items():
if v > 2:
repeating_digit = k
indices = [i for i, x in e... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unique_digits(n):\n \"*** YOUR CODE HERE ***\"\n count = 0\n for k in range(0, 10):\n if has_digit(n, k):\n count = count + 1\n return count",
"def unique_digits(n):\n #return len(set(str(n)))\n f = sorted(list(str(n)))\n return len([x for i,x in enumerate(f) if x not i... | [
"0.62621343",
"0.62330055",
"0.6103015",
"0.6061804",
"0.5992376",
"0.5973955",
"0.59315914",
"0.59144604",
"0.5909071",
"0.58491397",
"0.57401156",
"0.5738626",
"0.5728421",
"0.5718985",
"0.5690673",
"0.5680208",
"0.56766343",
"0.5627409",
"0.5604609",
"0.56018883",
"0.56004... | 0.7790202 | 0 |
Check if by replacing the repeating digit with the other 9 possible digits, how many are primes. we return a list of those which are. | def check_for_family_of_primes(r: str, ind: list, p: list) -> list:
values_to_check = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
values_to_check.remove(r)
counter = ["".join(p)]
for d in values_to_check:
p[ind[0]] = d
p[ind[1]] = d
p[ind[2]] = d
if is_prime(int(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def replace_count_primes(n):\n s = list(str(n))\n length = len(s)\n print(n)\n for c in combinations(digits[:length], mu):\n test_list = []\n for i in range(10):\n new_s = deepcopy(s)\n for place in c:\n new_s[int(place)] = str(i)\n new_n = ... | [
"0.809213",
"0.7492911",
"0.7384596",
"0.7349347",
"0.7320951",
"0.7264534",
"0.7223761",
"0.7144266",
"0.7047477",
"0.7023293",
"0.7022972",
"0.6982218",
"0.69794196",
"0.6964489",
"0.6952429",
"0.6946584",
"0.69340545",
"0.69195366",
"0.6897837",
"0.6890351",
"0.6881369",
... | 0.7327216 | 4 |
Generate prime numbers and pass to the other two functions. If we find a family of 8 primes, we break and return the answer. | def main() -> int:
a = None
for n, g in enumerate(gen_primes(100000, 1000000)):
repeat, indices = check_if_has_3_repeated_digits(str(g))
if repeat:
a = check_for_family_of_primes(repeat, indices, list(str(g)))
if len(a) > 7 and min(a) > 100000:
EULER_LOGG... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def primes():\n yield 2\n found_primes = [2]\n a = 3\n while True:\n for p in found_primes:\n if p**2 > a:\n found_primes.append(a)\n yield a\n a += 2\n break\n elif a % p == 0:\n a += 2\n ... | [
"0.6861571",
"0.68444514",
"0.68444514",
"0.67335594",
"0.6598026",
"0.65894234",
"0.6584745",
"0.65420634",
"0.6494829",
"0.6491836",
"0.6470535",
"0.6460577",
"0.64547604",
"0.64448065",
"0.6430741",
"0.64283806",
"0.63516057",
"0.6323416",
"0.6313036",
"0.6292335",
"0.6286... | 0.6197531 | 31 |
Performs a single optimization step. | def step(self, closure: Optional[Callable[[], float]] = None) -> Optional[float]:
loss = None
if closure is not None:
with torch.enable_grad():
loss = closure()
for group in self.param_groups:
for p in group["params"]:
if p.grad is None:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def optimization_step(self):\n \n if \"CSS\" in self.algorithm:\n \n input_dict = {self.x: self.train_inputs[self.minibatch_set,:]}\n \n var_list = [self.x_tilda, self.minibatch_set]\n \n if (self.num_samples > 0) a... | [
"0.70355856",
"0.69881725",
"0.6772841",
"0.6642373",
"0.64311093",
"0.63344187",
"0.62806904",
"0.62103254",
"0.62090313",
"0.61938447",
"0.6175672",
"0.61515605",
"0.6140446",
"0.61175907",
"0.61063343",
"0.6095171",
"0.6089585",
"0.6081353",
"0.60701174",
"0.6013111",
"0.6... | 0.0 | -1 |
Loads a data file into a list of `InputBatch`s | def convert_examples_to_features(self, examples, sequence_a_segment_id=0, mask_padding_with_zero=True):
# label2id = {label: i for i, label in enumerate(label_list)}
cls_token = self.tokenizer.cls_token
sep_token = self.tokenizer.sep_token
pad_token_id = self.tokenizer.pad_token_id
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def LoadBatch(filename):",
"def load_batch(fpath, label_key='labels'):\n f = open(fpath, 'rb')\n if sys.version_info < (3,):\n d = cPickle.load(f)\n else:\n d = cPickle.load(f, encoding='bytes')\n # decode utf8\n d_decoded = {}\n for k, v in d.items():\n d_d... | [
"0.7339138",
"0.7088603",
"0.68152064",
"0.66804737",
"0.6677221",
"0.6673983",
"0.66573095",
"0.66420156",
"0.66143215",
"0.65928704",
"0.65928704",
"0.6543405",
"0.6530698",
"0.6480809",
"0.647069",
"0.64682585",
"0.6405377",
"0.63913566",
"0.6391015",
"0.6371047",
"0.63698... | 0.0 | -1 |
Adds an extra axis to a data slab. | def addExtraAxis(slab,newaxis=None,axis=0,verbose=False):
import cdms2 as cdms
import MV2 as MV
if newaxis is None:
newaxis=cdms.createAxis([1,])
newaxis.units=''
# add new axis to axis list of input <slab>
axislist=slab.getAxisList()
axislist.insert(axis,newaxis)
#------... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def add_extra_dim(self, params: ExtraBytesParams) -> None:\n self.add_extra_dims([params])",
"def _appendAxisDefinition(self, axis):\n length = len(axis)\n\n self.na_dict[\"NX\"].append(length)\n self.na_dict[\"XNAME\"].append(xarray_utils.getBestName(axis))\n\n # If only one i... | [
"0.6279864",
"0.5876645",
"0.57838917",
"0.56708485",
"0.5641856",
"0.55798954",
"0.55050075",
"0.54636085",
"0.5369209",
"0.53418547",
"0.5340863",
"0.5319793",
"0.5302775",
"0.52753866",
"0.5257759",
"0.5241214",
"0.5231386",
"0.52094215",
"0.51454324",
"0.5124852",
"0.5124... | 0.79540575 | 0 |
Assess if a Mapbox tileset_id is valid | def validate_tileset_id(tileset_id):
pattern = r"^[a-z0-9-_]{1,32}\.[a-z0-9-_]{1,32}$"
return re.match(pattern, tileset_id, flags=re.IGNORECASE) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tile_is_set(index, level_map):\n return level_map[index] != -1",
"def tile_exists_utm(boundsSrc, boundsTile):\n\n\n boundsSrcBox = box(*boundsSrc)\n boundsTileBox = box(*boundsTile)\n\n return boundsSrcBox.intersects(boundsTileBox)",
"def test_room_has_tiles(self):\n self.assertEqual(sel... | [
"0.6637304",
"0.62335414",
"0.6161379",
"0.6090846",
"0.6027421",
"0.5894052",
"0.58873093",
"0.5880936",
"0.5848466",
"0.5831871",
"0.58296573",
"0.58248645",
"0.58103555",
"0.5810162",
"0.57029486",
"0.56911117",
"0.566734",
"0.5657201",
"0.5626586",
"0.56132966",
"0.560689... | 0.72017473 | 0 |
Extend the functionality of shutil. Correctly copies files and directories in a source directory. | def copydir(
source: str,
destination: str,
includes: List[str],
excludes: Optional[List[str]] = None,
follow_symlinks: bool = False,
) -> None:
files = _find_files(source, includes, excludes, follow_symlinks)
def _mkdir(dir_name: str) -> None:
"""Recursively create directories."""
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __copyFiles(self):\n if os.path.isdir(self.__sourcePath):\n shutil.copytree(self.__sourcePath, self.__targetPath)\n else:\n shutil.copy2(self.__sourcePath, self.__targetPath)",
"def copy(source, destination):\r\n\r\n source_ = os.path.abspath(os.path.expanduser(source))... | [
"0.76032",
"0.7391529",
"0.72444487",
"0.72432435",
"0.72234124",
"0.71827996",
"0.71821535",
"0.7150849",
"0.71507955",
"0.7094454",
"0.7086299",
"0.7064986",
"0.7057179",
"0.7039594",
"0.6978795",
"0.6927254",
"0.6917816",
"0.6904082",
"0.6904082",
"0.68775254",
"0.6874949"... | 0.65507185 | 47 |
Identify Python requirement files. | def find_requirements(root: str) -> Optional[Dict[str, bool]]:
findings = {
file_name: os.path.isfile(os.path.join(root, file_name))
for file_name in ["requirements.txt", "Pipfile", "Pipfile.lock"]
}
if not sum(findings.values()):
return None
return findings | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def learn_requirements():\n req_file = \"requirements.txt\"\n reqs = []\n\n import os\n\n path = os.path.dirname(__file__)\n req_file = os.path.join(path, \"..\", req_file)\n if not os.path.exists(req_file):\n # not needed with installed package\n return reqs\n\n excludes = \"ver... | [
"0.7247536",
"0.7180061",
"0.71210736",
"0.68924165",
"0.68747437",
"0.684639",
"0.66295767",
"0.6607806",
"0.66018444",
"0.65977806",
"0.65653926",
"0.6521994",
"0.6501912",
"0.64777774",
"0.6406232",
"0.6372848",
"0.63446504",
"0.63313365",
"0.63069576",
"0.63003576",
"0.62... | 0.65735126 | 10 |
Assess if Docker should be used based on the value of args. | def should_use_docker(dockerize_pip: DockerizePipArgTypeDef = None) -> bool:
if isinstance(dockerize_pip, bool):
return dockerize_pip
if isinstance(dockerize_pip, str):
if dockerize_pip == "non-linux" and not sys.platform.startswith("linux"):
return True
try:
ret... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _is_docker(self) -> bool:\n from hubble.executor.helper import is_valid_docker_uri\n\n uses = getattr(self.args, 'uses', '')\n return is_valid_docker_uri(uses)",
"def docker_allow_fallback():\n return False",
"def req_build(container):\n try:\n return 'dock... | [
"0.75592434",
"0.6791129",
"0.641314",
"0.63690114",
"0.6301101",
"0.61071885",
"0.60725427",
"0.60477525",
"0.58751506",
"0.5770867",
"0.5769221",
"0.5697177",
"0.5614681",
"0.55873924",
"0.55785286",
"0.55209535",
"0.5489136",
"0.545635",
"0.53722596",
"0.5362115",
"0.53584... | 0.6928599 | 1 |
Return boolean value of string. | def str2bool(v): # type: ignore
return v.lower() in ("yes", "true", "t", "1", "on") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def toBool( string ):\r\n return string == 'true'",
"def __str_to_bool(self, s):\n if s == 'True':\n return True\n elif s == 'False':\n return False\n else:\n raise ValueError",
"def getBool(string):\n return (True)",
"def boolean(s):\r\n ss = str(... | [
"0.83459866",
"0.8246995",
"0.82064474",
"0.7928407",
"0.79133636",
"0.79100734",
"0.7897386",
"0.7884227",
"0.78569734",
"0.7784944",
"0.7784944",
"0.7746765",
"0.7725692",
"0.7694074",
"0.7691527",
"0.76899177",
"0.7624512",
"0.7604307",
"0.7594454",
"0.75818145",
"0.757307... | 0.7287266 | 52 |
Generate a ZIP file inmemory from a list of files. Files will be stored in the archive with relative names, and have their UNIX permissions forced to 755 or 644 (depending on whether they are userexecutable in the source filesystem). | def _zip_files(files: Iterable[str], root: str) -> Tuple[bytes, str]:
zip_data = StringIO()
files = list(files) # create copy of list also converts generator to list
with ZipFile(zip_data, "w", ZIP_DEFLATED) as zip_file:
for file_name in files:
zip_file.write(os.path.join(root, file_nam... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_zip_from_files(files: List[Path]) -> Any:\n temp = tempfile.NamedTemporaryFile()\n with zipfile.ZipFile(temp, 'w') as handle:\n for f in files:\n filename = f.name\n handle.write(f, arcname=filename)\n temp.flush()\n return temp",
"d... | [
"0.7924965",
"0.7683432",
"0.7493491",
"0.7410672",
"0.7367998",
"0.73668987",
"0.72115725",
"0.7162055",
"0.69762313",
"0.68842643",
"0.68564355",
"0.68193173",
"0.6806144",
"0.67980766",
"0.67859745",
"0.6773269",
"0.67614233",
"0.6732942",
"0.66457343",
"0.65578675",
"0.65... | 0.7245733 | 6 |
Return a hash of all of the given files at the given root. | def _calculate_hash(files: Iterable[str], root: str) -> str:
file_hash = hashlib.md5()
for file_name in sorted(files):
file_path = os.path.join(root, file_name)
file_hash.update((file_name + "\0").encode())
with open(file_path, "rb") as file_:
# pylint: disable=cell-var-from-... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def hash_files(verbose, debug):\n\n found = []\n h = hashlib.new('md5')\n for pattern in FILES_PATTERNS:\n for f in glob.iglob(pattern, flags=FLAGS):\n name = f.replace('\\\\', '/')\n found.append(name)\n if verbose:\n print('FILES:')\n for f in sorted(found):\n ... | [
"0.7420318",
"0.73666245",
"0.7317427",
"0.72091985",
"0.71523035",
"0.7038823",
"0.6978035",
"0.69414365",
"0.6797267",
"0.6717443",
"0.6710734",
"0.65908384",
"0.65727043",
"0.65698576",
"0.65642035",
"0.65586007",
"0.6522981",
"0.6504305",
"0.6416056",
"0.63652515",
"0.632... | 0.8427298 | 0 |
List files inside a directory based on include and exclude rules. This is a more advanced version of `glob.glob`, that accepts multiple complex patterns. | def _find_files(
root: str,
includes: Union[List[str], str],
excludes: Optional[List[str]] = None,
follow_symlinks: bool = False,
) -> Iterator[str]:
root = os.path.abspath(root)
file_set = formic.FileSet(
directory=root, include=includes, exclude=excludes, symlinks=follow_symlinks
)... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def find_files(path, include=None, exclude=None):\n # If no extension is selected, use the wild card.\n if include is None:\n include = '*'\n # Make sure it is an iterable,\n include = assert_is_iter(include)\n # Find files and flatten.\n files = [glob.glob(f'{path}/**/*.{ext}', recursive=... | [
"0.68052447",
"0.6752323",
"0.67128164",
"0.65114653",
"0.6491854",
"0.64019465",
"0.6395919",
"0.638937",
"0.6382164",
"0.6379858",
"0.63603497",
"0.63299865",
"0.6321224",
"0.6305654",
"0.62905306",
"0.627118",
"0.62695813",
"0.62695813",
"0.625555",
"0.62298995",
"0.618449... | 0.58256245 | 62 |
Generate a ZIP file inmemory from file search patterns. | def _zip_from_file_patterns(
root: str, includes: List[str], excludes: List[str], follow_symlinks: bool
) -> Tuple[bytes, str]:
LOGGER.info("base directory: %s", root)
files = list(_find_files(root, includes, excludes, follow_symlinks))
if not files:
raise RuntimeError(
"Empty list ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def zipfile_containing(file_contents: Sequence[Tuple[str, str]]):\n with tempfile.NamedTemporaryFile(suffix='.zip') as temp_file:\n with zipfile.ZipFile(temp_file, 'w') as zip_file:\n for file_name, contents in file_contents:\n zip_file.writestr(file_name, contents)\n temp_file.flush()\n yiel... | [
"0.6358855",
"0.6332968",
"0.6237753",
"0.6205198",
"0.6119119",
"0.60591304",
"0.6006466",
"0.59753877",
"0.59502417",
"0.59296006",
"0.58752686",
"0.58705527",
"0.5846494",
"0.57977813",
"0.57941663",
"0.5774152",
"0.57729846",
"0.5741223",
"0.5736779",
"0.57303923",
"0.572... | 0.6324642 | 2 |
Use the correct requirements file. | def handle_requirements(
package_root: str,
dest_path: str,
requirements: Dict[str, bool],
pipenv_timeout: int = 300,
python_path: Optional[str] = None,
use_pipenv: bool = False,
) -> str:
if use_pipenv:
LOGGER.info("explicitly using pipenv")
return _handle_use_pipenv(
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def main() -> None:\n verify_pip_is_installed()\n print('Regenerating \"requirements.txt\" file...')\n install_python_dev_dependencies.compile_pip_requirements(\n 'requirements.in', 'requirements.txt')\n # Adds a note to the beginning of the 'requirements.txt' file to make sure\n # developers... | [
"0.68906283",
"0.67032295",
"0.6631099",
"0.66131264",
"0.6593063",
"0.65481037",
"0.65020955",
"0.6469327",
"0.6459697",
"0.64563775",
"0.64110714",
"0.6353754",
"0.6347483",
"0.63357425",
"0.63250405",
"0.6262225",
"0.62593436",
"0.62186176",
"0.6217121",
"0.62076795",
"0.6... | 0.5775046 | 66 |
Create requirements file from Pipfile. | def _handle_use_pipenv(
package_root: str,
dest_path: str,
python_path: Optional[str] = None,
timeout: int = 300,
) -> str:
if getattr(sys, "frozen", False):
LOGGER.error("pipenv can only be used with python installed from PyPi")
sys.exit(1)
LOGGER.info("creating requirements.txt... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def main(requirements_file, skip_requirements_file, pipfile, skip_pipfile):\n # type: (str, bool, str, bool) -> None\n pipfile_path = path.Path(pipfile)\n pf = load_pipfile(pipfile_path)\n\n if not skip_requirements_file:\n requirements_file_path = path.Path(requirements_file)\n update_re... | [
"0.7077445",
"0.6942941",
"0.6795732",
"0.66856635",
"0.66856635",
"0.6521182",
"0.65197855",
"0.6484924",
"0.6461957",
"0.64265215",
"0.63328713",
"0.6215045",
"0.6209",
"0.6170975",
"0.609325",
"0.60709524",
"0.6018973",
"0.60051984",
"0.6004013",
"0.59137285",
"0.58312577"... | 0.56345123 | 38 |
Run pip with docker. | def dockerized_pip(
work_dir: str,
client: Optional[docker.DockerClient] = None,
runtime: Optional[str] = None,
docker_file: Optional[str] = None,
docker_image: Optional[str] = None,
python_dontwritebytecode: bool = False,
**_: Any,
) -> None:
# TODO use kwargs to pass args to docker for... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def full_pip_freeze(docker_image, pip):\n\n match = None\n pip_vers = None\n\n try:\n\n cmd = ['sudo', 'docker', 'run', '--env', \"LD_LIBRARY_PATH=''\", '--rm', '-ti',\n '--entrypoint={}'.format(pip), docker_image, 'freeze']\n\n print(' '.join(cmd))\n r = sp.Popen(cmd, s... | [
"0.6504361",
"0.63231766",
"0.615957",
"0.61558837",
"0.60848695",
"0.60628784",
"0.59793115",
"0.5911659",
"0.58846164",
"0.58580613",
"0.58296275",
"0.5822538",
"0.58122975",
"0.57188886",
"0.5698203",
"0.56575954",
"0.5615017",
"0.5600989",
"0.5595091",
"0.55341893",
"0.54... | 0.6530509 | 0 |
Return boolean on whether pip is new enough to have nocolor option. pip v10 introduced this option, and it's used to minimize the effect of | def _pip_has_no_color_option(python_path: str) -> bool:
try:
pip_version_string = subprocess.check_output(
[
python_path,
"-c",
"from __future__ import print_function;"
"import pip;"
"print(pip.__version__)",
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def no_color():\n return (bool(_environ.get(\"ACCELPY_NO_COLOR\", False)) and\n _system() != 'Windows')",
"def _default_color_enabled() -> bool:\n import platform\n\n # If we're not attached to a terminal, go with no-color.\n if not sys.__stdout__.isatty():\n return False\n\n # O... | [
"0.73090255",
"0.69218844",
"0.6608089",
"0.65810806",
"0.6552736",
"0.65195435",
"0.6429177",
"0.64068675",
"0.6352326",
"0.6281814",
"0.6131098",
"0.5832753",
"0.5820403",
"0.581131",
"0.5655444",
"0.555243",
"0.55007124",
"0.54842734",
"0.54663014",
"0.54660404",
"0.545164... | 0.75785536 | 0 |
Create zip file in memory with package dependencies. | def _zip_package( # pylint: disable=too-many-locals,too-many-statements
package_root: str,
*,
dockerize_pip: DockerizePipArgTypeDef = False,
excludes: Optional[List[str]] = None,
follow_symlinks: bool = False,
includes: List[str],
pipenv_timeout: int = 300,
python_dontwritebytecode: boo... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_zip_file():\n shutil.make_archive(os.path.join(DIST_DIR, \"build\"), \"zip\", BUILD_DIR)",
"def _zip_files(self):\n\n zip_file = Path(self.build_directory.parent).joinpath(\n self.package_name + '.zip'\n )\n logger.info('Creating zip file: %s', zip_file)\n\n ... | [
"0.721739",
"0.7214677",
"0.6985273",
"0.68291426",
"0.6790956",
"0.67348194",
"0.66810083",
"0.6600456",
"0.63711417",
"0.6370397",
"0.63341767",
"0.6285126",
"0.62729836",
"0.6266667",
"0.6252513",
"0.62311554",
"0.6206117",
"0.61968726",
"0.61563855",
"0.61393106",
"0.6138... | 0.6505336 | 8 |
Retrieve information about an object in S3 if it exists. | def _head_object(
s3_conn: S3Client, bucket: str, key: str
) -> Optional[HeadObjectOutputTypeDef]:
try:
return s3_conn.head_object(Bucket=bucket, Key=key)
except botocore.exceptions.ClientError as err:
if err.response["Error"]["Code"] == "404":
return None
raise | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_s3_object(self, s3_path):\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\n return self.s3_resource.Object(bucket_name, key)",
"def get_s3_object(self, key):\n try:\n bucket_name = app.config['S3_BUCKET_NAME']\n s3_client = app.config['S3']\n ... | [
"0.7691831",
"0.73644066",
"0.70595527",
"0.7028458",
"0.695012",
"0.6923213",
"0.68887043",
"0.6855875",
"0.6816487",
"0.6746061",
"0.6737915",
"0.67176014",
"0.67143047",
"0.66835445",
"0.66181076",
"0.6560689",
"0.65342665",
"0.6528971",
"0.6519632",
"0.647861",
"0.6476607... | 0.65832025 | 15 |
Upload a ZIP file to S3 for use by Lambda. The key used for the upload will be unique based on the checksum of the contents. No changes will be made if the contents in S3 already match the expected contents. | def _upload_code(
s3_conn: S3Client,
bucket: str,
prefix: str,
name: str,
contents: Union[bytes, str],
content_hash: str,
payload_acl: ObjectCannedACLType,
) -> Code:
LOGGER.debug("ZIP hash: %s", content_hash)
key = f"{prefix}lambda-{name}-{content_hash}.zip"
if _head_object(s3_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def put(self, path: str, filename: str) -> None:\n\n payload_hash, content_md5, length = _hash(path)\n\n now = datetime.datetime.utcnow()\n timestamp = now.strftime('%Y%m%dT%H%M%SZ')\n headers = [\n ('Connection', 'keep-alive'),\n ('Content-Length', str(length)),\n... | [
"0.67361575",
"0.666261",
"0.6614976",
"0.6435008",
"0.6353437",
"0.63407624",
"0.6288499",
"0.62856996",
"0.6277724",
"0.62474364",
"0.61759305",
"0.6169826",
"0.61494434",
"0.61441237",
"0.61334544",
"0.6133251",
"0.6112534",
"0.6106917",
"0.60964257",
"0.6085946",
"0.60788... | 0.6406313 | 4 |
Validate file search patterns from user configuration. Acceptable input is a string (which will be converted to a singleton list), a list of strings, or anything falsy (such as None or an empty dictionary). Empty or unset input will be converted to a default. | def _check_pattern_list(
patterns: Optional[Union[List[str], str]],
key: str,
default: Optional[List[str]] = None,
) -> Optional[List[str]]:
if not patterns:
return default
if isinstance(patterns, str):
return [patterns]
if isinstance(patterns, list) and all(isinstance(p, str) ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _resolve_arguments(patterns, packages_path, search_packages_path):\n\n def _read_patterns(path):\n try:\n with open(path, \"r\") as handler:\n return set(handler.read().splitlines())\n except IOError:\n return set()\n\n ignore_patterns = set()\n\n for... | [
"0.5847642",
"0.571779",
"0.56237805",
"0.5558958",
"0.5545299",
"0.54854465",
"0.54795384",
"0.53806275",
"0.53201216",
"0.5245875",
"0.52377",
"0.5226893",
"0.52046716",
"0.51762396",
"0.5132988",
"0.5130737",
"0.50783855",
"0.50730044",
"0.5066616",
"0.5059243",
"0.5021123... | 0.6681264 | 0 |
Build a Lambda payload from user configuration and uploads it to S3. | def _upload_function(
s3_conn: S3Client,
bucket: str,
prefix: str,
name: str,
options: _UploadFunctionOptionsTypeDef,
follow_symlinks: bool,
payload_acl: ObjectCannedACLType,
sys_path: str,
work_dir: Path,
) -> Code:
try:
root = os.path.expanduser(options["path"])
exc... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def lambda_handler(event, context):\n \n filename = None\n fobj = None\n\n try:\n \n filename = 'dlq' + '-' + datetime.datetime.now().strftime(\"%s\")\n fobj = open('/tmp/'+filename, 'w')\n logger.debug('S3 client set up.')\n\n for record in event['Records']:\n ... | [
"0.6304564",
"0.5891823",
"0.5874758",
"0.58452857",
"0.5809447",
"0.57816947",
"0.5765443",
"0.5632585",
"0.5528838",
"0.5456213",
"0.5450615",
"0.5446997",
"0.5378688",
"0.536596",
"0.53648275",
"0.53620404",
"0.53596246",
"0.535553",
"0.5320906",
"0.53192997",
"0.5315513",... | 0.53822446 | 12 |
Return the appropriate region to use when uploading functions. Select the appropriate region for the bucket where lambdas are uploaded in. | def select_bucket_region(
custom_bucket: Optional[str],
hook_region: Optional[str],
cfngin_bucket_region: Optional[str],
provider_region: str,
) -> str:
region = None
region = hook_region if custom_bucket else cfngin_bucket_region
return region or provider_region | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def function_region(self) -> str:\n return pulumi.get(self, \"function_region\")",
"def load_aws_region_name() -> str:\n session = boto3.session.Session()\n region_name = (\n click.get_current_context().params.get(\"region\") or session.region_name\n )\n return region_name",
"def regi... | [
"0.7334205",
"0.6579131",
"0.6273241",
"0.6175507",
"0.6165684",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.6162876",
"0.61409694",
"0.6136126",
"0.6130676",
... | 0.71261233 | 1 |
Build Lambda payloads from user configuration and upload them to S3. Constructs ZIP archives containing files matching specified patterns for each function, uploads the result to Amazon S3, then stores objects (of | def upload_lambda_functions(context: CfnginContext, provider: Provider, **kwargs: Any):
LOGGER.warning(
"%s is deprecated and will be removed in a future release - "
"see documentation for replacement",
__name__,
)
# TODO add better handling for misconfiguration (e.g. forgetting func... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _upload_function(\n s3_conn: S3Client,\n bucket: str,\n prefix: str,\n name: str,\n options: _UploadFunctionOptionsTypeDef,\n follow_symlinks: bool,\n payload_acl: ObjectCannedACLType,\n sys_path: str,\n work_dir: Path,\n) -> Code:\n try:\n root = os.path.expanduser(options... | [
"0.64204836",
"0.63022864",
"0.6259235",
"0.6092332",
"0.59669536",
"0.5948963",
"0.5852074",
"0.5800756",
"0.57910043",
"0.5769824",
"0.5736082",
"0.5676278",
"0.5634184",
"0.5622248",
"0.55950046",
"0.5543822",
"0.55227745",
"0.551679",
"0.5510865",
"0.5473884",
"0.54647326... | 0.57893515 | 9 |
remove distracting whitespaces and newline characters | def bs_preprocess(html):
pat = re.compile('(^[\s]+)|([\s]+$)', re.MULTILINE)
html = re.sub(pat, '', html) # remove leading and trailing whitespaces
html = re.sub('\n', ' ', html) # convert newlines to spaces
# this preserves newline delimiters
html = re.sub(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clean_whitespace(text):\n return text\n #return re.sub(r'\\r\\n|\\n', \"\\t\", text)",
"def removeSingleChars(self) -> None:\n self.text = re.sub('\\s[^\\n\\s]\\s', ' ', self.text)",
"def _removeWhitespaces(self, s):\n return s.translate({ord(c): None for c in string.whitespace})",
"... | [
"0.7512734",
"0.74011576",
"0.73931",
"0.7392397",
"0.72668093",
"0.7214466",
"0.71911186",
"0.7189776",
"0.7180525",
"0.7179743",
"0.7165845",
"0.7156132",
"0.71512353",
"0.7145525",
"0.7124246",
"0.71108913",
"0.7079354",
"0.7075042",
"0.7049608",
"0.70375574",
"0.70324016"... | 0.0 | -1 |
calls the 'source()' method of the current (user folder) conanfile.py | def source(self, path, name=None, version=None, user=None, channel=None):
app = ConanApp(self._conan_api.cache_folder)
conanfile = app.loader.load_consumer(path, name=name, version=version,
user=user, channel=channel, graph_lock=None)
# This profile i... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def source(self):\n return some.dap.source(py.path.local(self.co_filename))",
"def source(something):\n # How to source? It's impossible. It's like: we fork, run bash, run\n # ourselves in the environment set up by Bash.\n raise NotImplementedError('Impossible.')",
"def do_source(self, line):\n... | [
"0.72140634",
"0.68528104",
"0.67484087",
"0.66230774",
"0.6607021",
"0.6600624",
"0.6600589",
"0.6545537",
"0.65396297",
"0.6503178",
"0.6457454",
"0.6434944",
"0.6405547",
"0.63944274",
"0.63699126",
"0.6248467",
"0.6179569",
"0.6175343",
"0.60342467",
"0.6005206",
"0.59890... | 0.6302204 | 15 |
calls the 'build()' method of the current (user folder) conanfile.py | def build(self, conanfile):
app = ConanApp(self._conan_api.cache_folder)
conanfile.folders.set_base_package(conanfile.folders.base_build)
conanfile.folders.set_base_pkg_metadata(os.path.join(conanfile.build_folder, "metadata"))
run_build_method(conanfile, app.hook_manager) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build():",
"def build(config):",
"def build(_):",
"def build(build_ctx: str, bentofile: str, version: str) -> None: # type: ignore (not accessed)\n if sys.path[0] != build_ctx:\n sys.path.insert(0, build_ctx)\n\n build_bentofile(bentofile, build_ctx=build_ctx, version=version)",... | [
"0.7333871",
"0.71412677",
"0.6977461",
"0.6936356",
"0.68916893",
"0.68744874",
"0.68205845",
"0.6769663",
"0.6651863",
"0.6582709",
"0.6576951",
"0.6561471",
"0.65468836",
"0.6516524",
"0.65142125",
"0.6505344",
"0.64734596",
"0.6464042",
"0.645478",
"0.63959265",
"0.639177... | 0.8105695 | 0 |
calls the 'test()' method of the current (user folder) test_package/conanfile.py | def test(conanfile):
with conanfile_exception_formatter(conanfile, "test"):
with chdir(conanfile.build_folder):
conanfile.test() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test():\n current_directory = os.getcwd()\n os.chdir(PACKAGE_DIR)\n pytest.main()\n os.chdir(current_directory)",
"def test():\n tests = unittest.TestLoader().discover('project/tests', pattern='test*.py')\n result = unittest.TextTestRunner(verbosity=2).run(tests)\n if result.wasSuccessfu... | [
"0.71587485",
"0.6982787",
"0.69825524",
"0.69750357",
"0.6971307",
"0.69660246",
"0.6936495",
"0.6896736",
"0.6883618",
"0.6883618",
"0.6883618",
"0.6883618",
"0.68168396",
"0.6809316",
"0.68035895",
"0.6797254",
"0.67825884",
"0.67797387",
"0.67692393",
"0.6762063",
"0.6757... | 0.82097435 | 0 |
Convenience for adding html to input field | def AddLabel(html_input, label=None):
id = html_input.id
if label:
return html.Div([
html.Label(children=label, htmlFor=id),
html_input,
])
else:
return html_input | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def html(self):\n lbl = escape(self._label)\n dis = ('disabled' if not self._enabled else '')\n typ = ('password' if self._password else 'text')\n nam = escape(self._name)\n val = escape(self._value)\n return '%s <input name=\"%s\" %s type=\"%s\" value=\"%s\" size=\"%i\">' % (lbl, nam, dis, typ, ... | [
"0.7169448",
"0.6838431",
"0.68178415",
"0.665138",
"0.65652514",
"0.63051593",
"0.6252572",
"0.6071613",
"0.6038615",
"0.6019356",
"0.59918284",
"0.59597725",
"0.5938401",
"0.5905728",
"0.59022725",
"0.5801673",
"0.57618266",
"0.5735567",
"0.5700711",
"0.56907254",
"0.567770... | 0.6041001 | 8 |
Use matplotlib figure as component (by converting into plotly format first.) | def MatplotlibFigure(id, fig, size_in_pixels):
width_height_tuple_in_inches = (size_in_pixels[0]/fig.dpi, size_in_pixels[1]/fig.dpi)
fig.set_size_inches(width_height_tuple_in_inches)
plotly_fig = mpl_to_plotly(fig, strip_style=True)
return dcc.Graph(id, figure=plotly_fig) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def make_figure(self, traces):\n pass",
"def get_div_from_data(mpl_fig):\n res = plotly.offline.plot_mpl(\n mpl_fig,\n include_plotlyjs=False,\n output_type='div',\n resize=True,\n image_height=\"100%\", image_width=\"100%\"\n )\n return res",
"def embed_matpl... | [
"0.6617626",
"0.6531744",
"0.6453837",
"0.6431585",
"0.6351513",
"0.6198196",
"0.6140918",
"0.6118211",
"0.60988694",
"0.6052095",
"0.60091686",
"0.5962658",
"0.59478086",
"0.59292096",
"0.5902695",
"0.5902364",
"0.5892394",
"0.58689743",
"0.58653957",
"0.58606535",
"0.586036... | 0.67803866 | 0 |
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