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def image_model_saver(image_model, model_type, output_directory, training_dict, labels1, labels2, preds, results1, results2): """ Saves Keras image model and other outputs image_model: Image model to be saved model_type (string): Name of model output_directory: Directory to folder to save...
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def predicted_orders( daily_order_summary: pd.DataFrame, order_forecast_model: Tuple[float, float] ) -> pd.DataFrame: """Predicted orders for the next 30 days based on the fit paramters""" a, b = order_forecast_model start_date = daily_order_summary.order_date.max() future_dates = pd.date_range(star...
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def _try_command_line(command_line): """Returns the output of a command line or an empty string on error.""" _logging.debug("Running command line: %s" % command_line) try: return subprocess.check_output(command_line, stderr=subprocess.STDOUT) except Exception as e: _print_process_error(command_line, e) ...
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def eval_loop(model, ldr, device): """Runs the evaluation loop on the input data `ldr`. Args: model (torch.nn.Module): model to be evaluated ldr (torch.utils.data.DataLoader): evaluation data loader device (torch.device): device inference will be run on Returns: list: l...
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def get_total_frts(): """ Get total number of FRTs for a single state. Arguments: Returns: {JSON} -- Returns headers of the columns and data in list """ query = """ SELECT place.state AS state , COUNT(DISTINCT frt.id) AS state_total FROM ...
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def test_from_transform(): """Initialize from inverse of q0 via transform matrix""" q = Quat(q0.transform.transpose()) assert np.allclose(q.q[0], -0.26853582) assert np.allclose(q.q[1], 0.14487813) assert np.allclose(q.q[2], -0.12767944) assert np.allclose(q.q[3], 0.94371436) q = Quat(q0.tr...
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def newton_sqrt(n: float, a: float) -> float: """Approximate sqrt(n) starting from a, using the Newton-Raphson method.""" r = within(0.00001, repeat_f(next_sqrt_approx(n), a)) return next(r)
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def prismatic(xyz, rpy, axis, qi): """Returns the dual quaternion for a prismatic joint. """ # Joint origin rotation from RPY ZYX convention roll, pitch, yaw = rpy[0], rpy[1], rpy[2] # Origin rotation from RPY ZYX convention cr = cs.cos(roll/2.0) sr = cs.sin(roll/2.0) cp = cs.cos(pitch/2...
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def markov_chain(bot_id, previous_posts): """ Caches are triplets of consecutive words from the source Beginning=True means the triplet was the beinning of a messaeg Starts with a random choice from the beginning caches Then makes random choices from the all_caches set, constructing a markov chain ...
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def SurfaceNet_fn_trainVal(N_viewPairs4inference, default_lr, input_cube_size, D_viewPairFeature, \ num_hidden_units, CHANNEL_MEAN, return_train_fn=True, return_val_fn=True, with_weight=True): """ This function only defines the train_fn and the val_fn while training process. There are 2 trainin...
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def test_bandpass_image(): """Cube class: testing bandpass_image""" shape = (7, 2, 2) # Create a rectangular shaped bandpass response whose ends are half # way into pixels. wavelengths = np.array([1.0, 2.0, 3.0, 4.0, 5.0]) sensitivities = np.array([1.0, 1.0, 1.0, 1.0, 1.0]) # Specify a r...
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def _assign_data_radial(root, sweep="sweep_1"): """Assign from CfRadial1 data structure. Parameters ---------- root : xarray.Dataset Dataset of CfRadial1 file sweep : str, optional Sweep name to extract, default to first sweep. If None, all sweeps are extracted into a list. ...
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def get_memory_usage(): """This method returns the percentage of total memory used in this machine""" stats = get_memstats() mfree = float(stats['buffers']+stats['cached']+stats['free']) return 1-(mfree/stats['total'])
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def gamma0(R, reg=1e-13, symmetrize=True): """Integrals over the edges of a triangle called gamma_0 (line charge potentials). **NOTE: MAY NOT BE VERY PRECISE FOR POINTS DIRECTLY AT TRIANGLE EDGES.** Parameters ---------- R : (N, 3, 3) array of points (Neval, Nverts, xyz) Returns -----...
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def is_even(x): """ True if obj is even. """ return (x % 2) == 0
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def get_http_proxy(): """ Get http_proxy and https_proxy from environment variables. Username and password is not supported now. """ host = conf.get_httpproxy_host() port = conf.get_httpproxy_port() return host, port
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def get_parser_udf( structural=True, # structural information blacklist=["style", "script"], # ignore tag types, default: style, script flatten=["span", "br"], # flatten tag types, default: span, br language="en", lingual=True, # lingual information lingual_parser=None, strip=True, r...
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def img_preprocess2(image, target_shape,bboxes=None, correct_box=False): """ RGB转换 -> resize(resize不改变原图的高宽比) -> normalize 并可以选择是否校正bbox :param image_org: 要处理的图像 :param target_shape: 对图像处理后,期望得到的图像shape,存储格式为(h, w) :return: 处理之后的图像,shape为target_shape """ h_target, w_target = target_shap...
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def pivot_timeseries(df, var_name, timezone=None): """ Pivot timeseries DataFrame and shift UTC by given timezone offset Parameters ---------- df : pandas.DataFrame Timeseries DataFrame to be pivoted with year, month, hour columns var_name : str Name for new column describing da...
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def _preprocess_stored_query(query_text, config): """Inject some default code into each stored query.""" ws_id_text = " LET ws_ids = @ws_ids " if 'ws_ids' in query_text else "" return '\n'.join([ config.get('query_prefix', ''), ws_id_text, query_text ])
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def handler_request_exception(response: Response): """ Args: response (Response): """ status_code = response.status_code data = response.json() if "details" in data and len(data.get("details")) > 0: data = data.get("details")[0] kwargs = { "error_code": data.get("err...
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def n_real_inputs(): """This gives the number of 'real' inputs. This is determined by trimming away inputs that have no connection to the logic. This is done by the ABC alias 'trm', which changes the current circuit. In some applications we do not want to change the circuit, but just to know how may inputs ...
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def get_stats_for_dictionary_file(dictionary_path): """Calculate size of manual and recommended sections of given dictionary.""" if not dictionary_path or not os.path.exists(dictionary_path): return 0, 0 dictionary_content = utils.read_data_from_file( dictionary_path, eval_data=False) dictionaries = ...
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def log_speed(speed_logs, message): """Measures and logs the duration of a context. Parameters ---------- speed_logs : list of str Text logs regarding processing speed. message : str A log message, which will be processed using ``string.format()`` with the duration of a cont...
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def delete_bucket_tagging(Bucket=None): """ Deletes the tags from the bucket. To use this operation, you must have permission to perform the s3:PutBucketTagging action. By default, the bucket owner has this permission and can grant this permission to others. The following operations are related to Delet...
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def mlrPredict(W, data): """ mlrObjFunction predicts the label of data given the data and parameter W of Logistic Regression Input: W: the matrix of weight of size (D + 1) x 10. Each column is the weight vector of a Logistic Regression classifier. X: the data matrix of size...
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def create_app(): """Create Flask application.""" app = Flask(__name__, instance_relative_config=False) from .error_pages import add_error_pages app = add_error_pages(app) app.config.from_object("config") with app.app_context(): from .global_variables import init_global init_g...
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def process_integration(request, case_id): """Method to process case.""" try: case = OVCBasicCRS.objects.get(case_id=case_id, is_void=False) county_code = int(case.county) const_code = int(case.constituency) county_id, const_id = 0, 0 crs_id = str(case_id).replace('-', ''...
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def get_aabb(pts): """axis-aligned minimum bounding box""" x, y = np.floor(pts.min(axis=0)).astype(int) w, h = np.ceil(pts.ptp(axis=0)).astype(int) return x, y, w, h
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def _solve(f, *symbols, **flags): """Return a checked solution for f in terms of one or more of the symbols. A list should be returned except for the case when a linear undetermined-coefficients equation is encountered (in which case a dictionary is returned). If no method is implemented to solve t...
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def get_object_ratio(obj): """Calculate the ratio of the object's size in comparison to the whole image :param obj: the binarized object image :type obj: numpy.ndarray :returns: float -- the ratio """ return numpy.count_nonzero(obj) / float(obj.size)
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def get_region(ds, region): """ Return a region from a provided DataArray or Dataset Parameters ---------- region_mask: xarray DataArray or list Boolean mask of the region to keep """ return ds.where(region, drop=True)
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def read_borehole_file(path, fix_df=True): """Returns the df with the depths for each borehole in one single row instead instead being each chunck a new row""" df = pd.read_table(path, skiprows=41, header=None, sep='\t', ...
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def cpl_parse(path): """ Parse DCP CPL """ cpl = generic_parse( path, "CompositionPlaylist", ("Reel", "ExtensionMetadata", "PropertyList")) if cpl: cpl_node = cpl['Info']['CompositionPlaylist'] cpl_dcnc_parse(cpl_node) cpl_reels_parse(cpl_node) return cpl
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def notfound(): """Serve 404 template.""" return make_response(render_template('404.html'), 404)
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def read_network(file: str) -> Tuple[int, int, List[int]]: """ Read a Boolean network from a text file: Line 1: number of state variables Line 2: number of control inputs Line 3: transition matrix of the network (linear representation of a logical matrix) :param file: a text file ...
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def copy(srcpath, destpath, pattern=None, pred=_def_copy_pred): """ Copies all files in the source path to the specified destination path. The source path can be a file, in which case that file will be copied as long as it matches the specified pattern. If the source path is a directory, all di...
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def bundle_products_list(request,id): """ This view Renders Bundle Product list Page """ bundle = get_object_or_404(Bundle, bundle_id=id) bundleProd = BundleProducts.objects.filter(bundle=id) stocks = Stock.objects.all() context = { "title": "Bundle Products List", "bundle": b...
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def rot_x(theta): """ Rotation matrix around X axis :param theta: Rotation angle in radians, right-handed :return: Rotation matrix in form of (3,3) 2D numpy array """ return rot_axis(0,theta)
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def SetupPushNotification(request, callback, customData = None, extraHeaders = None): """ Sets the Amazon Resource Name (ARN) for iOS and Android push notifications. Documentation on the exact restrictions can be found at: http://docs.aws.amazon.com/sns/latest/api/API_CreatePlatformApplication.html. Current...
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def ValidateEntryPointNameOrRaise(entry_point): """Checks if a entry point name provided by user is valid. Args: entry_point: Entry point name provided by user. Returns: Entry point name. Raises: ArgumentTypeError: If the entry point name provided by user is not valid. """ return _ValidateArgum...
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def save_volfile(array, filename, affine=None): """ Saves an array to nii, nii.gz, or npz format. Parameters: array: The array to save. filename: Filename to save to. affine: Affine vox-to-ras matrix. Saves LIA matrix if None (default). """ if filename.endswith(('.nii', '.ni...
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def park2_4_z(z, x): """ Computes the Parkd function. """ y1 = x[0][0] y2 = x[0][1] chooser = x[1] y3 = (x[2] - 103.0) / 91.0 y4 = x[3] + 10.0 x = [y1, y2, y3, y4] if chooser == 'rabbit': ret = sub_park_1(x) elif chooser == 'dog': ret = sub_park_2(x) elif chooser == 'gerbil': ret = sub_p...
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def get_string_coords(line): """return a list of string positions (tuple (start, end)) in the line """ result = [] for match in re.finditer(STRING_RGX, line): result.append( (match.start(), match.end()) ) return result
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def array_from_pixbuf(p): """Convert from GdkPixbuf to numpy array" Args: p (GdkPixbuf): The GdkPixbuf provided from some window handle Returns: ndarray: The numpy array arranged for the pixels in height, width, RGBA order """ w,h,c,r=(p.get_width(), p.get_height(), p.get_n_channel...
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def entropy(x,k=3,base=2): """ The classic K-L k-nearest neighbor continuous entropy estimator x should be a list of vectors, e.g. x = [[1.3],[3.7],[5.1],[2.4]] if x is a one-dimensional scalar and we have four samples """ assert k <= len(x)-1, "Set k smaller than num. samples - 1" d = len(x[0]) N...
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def respond_to_command(slack_client, branch, thread_ts): """Take action on command.""" logging.debug("Responding to command: Deploy Branch-%s", branch) is_production = False if branch == 'develop': message = "Development deployment started" post_to_channel(slack_client, message, thread_t...
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def build_bazel_rules_nodejs(**kwargs): """Rule node.js """ name = "build_bazel_rules_nodejs" ref = get_ref(name, "d334fd8e2274fb939cf447106dced97472534e80", kwargs) sha256 = get_sha256(name, "5c69bae6545c5c335c834d4a7d04b888607993027513282a5139dbbea7166571", kwargs) github_archive(name, "bazelb...
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def write_file(graph, filename, mode=None): """ write file Arguments: ---------- graph {pydotplus.graphviz.Dot} -- graph filename {str} -- file name Keyword Arguments: ------------------ mode {str} -- type of function (default: None} Raises: ------- Excepti...
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def s3upload_start( request: HttpRequest, workflow: Optional[Workflow] = None, ) -> HttpResponse: """Upload the S3 data as first step. The four step process will populate the following dictionary with name upload_data (divided by steps in which they are set STEP 1: initial_column_names: L...
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def search_explorations(query, limit, sort=None, cursor=None): """Searches through the available explorations. args: - query_string: the query string to search for. - sort: a string indicating how to sort results. This should be a string of space separated values. Each value should start ...
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def find_resourceadapters(): """ Finds all resource adapter classes. :return List[ResourceAdapter]: a list of all resource adapter classes """ subclasses = [] def look_for_subclass(module_name): module = __import__(module_name) d = module.__dict__ for m in module_name...
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def print_scale(skill, points): """Return TeX lines for a skill scale.""" lines = ['\\cvskill{'] lines[0] += skill lines[0] += '}{' lines[0] += str(points) lines[0] += '}\n' return lines
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def test_add_op_scalar(): """ Program: fn (x, y) { return x + y; } """ x = relay.var('x', shape=()) y = relay.var('y', shape=()) func = relay.Function([x, y], add(x, y)) x_data = np.array(10.0, dtype='float32') y_data = np.array(1.0, dtype='float32') check...
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def getsize(file: Union[TextIO, BinaryIO]) -> int: """ Overview: Get the size of the given ``file`` stream. :param file: File which size need to access. :return: File's size. Examples:: >>> import io >>> from hbutils.file import getsize >>> >>> with io.Bytes...
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def print_(fh, *args): """Implementation of perl $fh->print method""" global OS_ERROR, TRACEBACK, AUTODIE try: print(*args, end='', file=fh) return True except Exception as _e: OS_ERROR = str(_e) if TRACEBACK: cluck(f"print failed: {OS_ERROR}",skip=2)...
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def _expm_multiply_interval(A, B, start=None, stop=None, num=None, endpoint=None, balance=False, status_only=False): """ Compute the action of the matrix exponential at multiple time points. Parameters ---------- A : transposable linear operator The operator whose exponential is of ...
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def subprocess(mocker): """ Mock the subprocess and make sure it returns a value """ def with_return_value(value: int = 0, stdout: str = ""): mock = mocker.patch( "subprocess.run", return_value=CompletedProcess(None, returncode=0) ) mock.returncode.return_value = value ...
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def ljust(string, width): """ A version of ljust that considers the terminal width (see get_terminal_width) """ width -= get_terminal_width(string) return string + " " * width
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def device_sort (device_set): """Sort a set of devices by self_id. Can't be used with PendingDevices!""" return sorted(device_set, key = operator.attrgetter ('self_id'))
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def _ontology_value(curie): """Get the id component of the curie, 0000001 from CL:0000001 for example.""" return curie.split(":")[1]
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def get_current_joblist(JobDir): """ -function to return current, sorted, joblist in /JobDir """ if os.path.exists(JobDir): jobdirlist = os.walk(JobDir).next()[1] jobdirlist.sort() return jobdirlist
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def save_keys(profile, access_token): """ Save keys to ~/.weibowarc """ filename = default_config_filename() save_config(filename, profile, access_token) print("Keys saved to", filename)
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def readpacket( timeout=1000, hexdump=False ): """Reads a HP format packet (length, data, checksum) from device. Handles error recovery and ACKing. Returns data or prints hexdump if told so. """ data = protocol.readpacket() if hexdump == True: print hpstr.tohexstr( data ) else: ...
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def df_down_next_empty_pos(df, pos): """ Given a position `pos` at `(c, r)`, reads down column `c` from row `r` to find the next empty cell. Returns the position of that cell if found, or `None` otherwise. """ return df_down_next_matching_pos(df, pos, pd.isna)
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def day(stats): """ Returns a random day action function based on your decided day action :return: Function tht will give a random day action """ # Later versions should read in numbers/booleans to determine this first statement input("As the sun rises it marks a new day. What will you do?") ...
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def optimise_f2_thresholds(y, p, verbose=False, resolution=100): """Optimize individual thresholds one by one. Code from anokas. Inputs ------ y: numpy array, true labels p: numpy array, predicted labels """ n_labels = y.shape[1] def mf(x): p2 = np.zeros_like(p) for i in...
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def ipv6_generator(): """A generator for keys (type ipv6) that will skip some keys and repeat most, just for the sake of a good spread of keys. Completely random offsets are generated. """ min_ = randint(1,100) max_ = randint(min_, 100000) cur = min_ off = randrange(4294967296) whi...
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def holding_vars(): """ input This is experimental, used to indicate unbound (free) variables in a sum or list comprehensive. This is inspired by Harrison's {a | b | c} set comprehension notation. >>> pstream(holding_vars(),', holding x,y,z') Etok(holding_vars,', holding x , y , z') ...
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def select_with_several_genes(accessions, name, pattern, description_items=None, attribute='gene', max_items=3): """ This will select the best description for databases where more than one gene (or other attribute) map...
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def list_messages_matching_query(service, user_id, query=''): """List all Messages of the user's mailbox matching the query. Args: service: Authorized Gmail API service instance. user_id: User's email address. The special value "me" can be used to indicate the authenticated user. query:...
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def write_to_string(input_otio, **profile_data): """ :param input_otio: Timeline, Track or Clip :param profile_data: Properties passed to the profile tag describing the format, frame rate, colorspace and so on. If a passed Timeline has `global_start_time` set, the frame rate will be set automatical...
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def parse_IS(reply: bytes, device: str): """Parses the reply to the shutter IS command.""" match = re.search(b"\x00\x07IS=([0-1])([0-1])[0-1]{6}\r$", reply) if match is None: return False if match.groups() == (b"1", b"0"): if device in ["shutter", "hartmann_right"]: return ...
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def quatXYZWFromRotMat(rot_mat): """Convert quaternion from rotation matrix""" quatWXYZ = quaternions.mat2quat(rot_mat) quatXYZW = quatToXYZW(quatWXYZ, 'wxyz') return quatXYZW
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def schema_is_current(db_connection: sqlite3.Connection) -> bool: """ Given an existing database, checks to see whether the schema version in the existing database matches the schema version for this version of Gab Tidy Data. """ db = db_connection.cursor() db.execute( """ selec...
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def xattr_writes_supported(path): """ Returns True if the we can write a file to the supplied path and subsequently write a xattr to that file. """ try: import xattr except ImportError: return False def set_xattr(path, key, value): xattr.setxattr(path, "user.%s" % ke...
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def end(pstats_file): """Ends yappi profiling session, saves the profilinf info to a CProfile pstats file, and pretty-prints it to the console.""" yappi.stop() func_stats = yappi.get_func_stats() if func_stats: _rows = [] for _stat in func_stats._as_dict: if '/Spardaqus/' in ...
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def _lovasz_softmax(probabilities, targets, classes="present", per_image=False, ignore=None): """The multiclass Lovasz-Softmax loss. Args: probabilities: [B, C, H, W] class probabilities at each prediction (between 0 and 1). Interpreted as binary (sigmoid) output wit...
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def encodeDERTRequest(negoTypes = [], authInfo = None, pubKeyAuth = None): """ @summary: create TSRequest from list of Type @param negoTypes: {list(Type)} @param authInfo: {str} authentication info TSCredentials encrypted with authentication protocol @param pubKeyAuth: {str} public key encrypted wit...
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def p_cmdexpr_dbinspect(p): """cmdexpr : DBINSPECT | DBINSPECT arglist | DBINSPECT MACRO"""
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def remove_collection(browse_layer): """ Remove Sx-Cat collection. """ collection_name = browse_layer.browse_type logger.info("Removing Sx-Cat collection '%s'.", collection_name) return_code = _sxcat_command(["remove", collection_name]) if return_code != 0: logger.warning( "Fai...
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def _crossCorrelations(queue, n_atoms, array, variances, indices): """Calculate covariance-matrix for a subset of modes.""" n_modes = len(indices) arvar = (array[:, indices] * variances[indices]).T.reshape((n_modes, n_atoms, 3)) array = ar...
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def describe_config_rule_evaluation_status(ConfigRuleNames=None, NextToken=None, Limit=None): """ Returns status information for each of your AWS managed Config rules. The status includes information such as the last time AWS Config invoked the rule, the last time AWS Config failed to invoke the rule, and the r...
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def generate_s3_strings(path): """Generates s3 bucket name, s3 key and s3 path with an endpoint from a path with path (string): s3://BUCKETNAME/KEY x --> path.find(start) returns index 0 + len(start) returns 5 --> 0 + 5 = 5 Y --> path[len(start):] = BUCKENAME/KEY --> .find(end) looking for f...
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def hierholzer(network: Network, source=0): """ Hierholzer's algorithm for finding an Euler cycle Args: network (Network): network object source(int): node where starts (and ends) the path Raises: NotEulerianNetwork: if exists at least one node with odd degree NotNetworkNod...
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def RemoveChromeBrowserObjectFiles(chromeos_root, board): """Remove any object files from all the posible locations.""" out_dir = os.path.join( GetChrootPath(chromeos_root), 'var/cache/chromeos-chrome/chrome-src/src/out_%s' % board) if os.path.exists(out_dir): shutil.rmtree(out_dir) logger.Get...
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def fit1d(xdata,zdata,degree=1,reject=0,ydata=None,plot=None,plot2d=False,xr=None,yr=None,zr=None,xt=None,yt=None,zt=None,pfit=None,log=False,colorbar=False,size=5) : """ Do a 1D polynomial fit to data set and plot if requested Args: xdata : independent variable zdata : dependent variable to be f...
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def nucleus_sampling(data, p, replace=0, ascending=False, above=True): """ :param tensor data: Input data :param float p: Probability for filtering (or be replaced) :param float replace: Default value is 0. If value is provided, input data will be replaced by this value if data match criteria. ...
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def mark_ready_for_l10n_revision(request, document_slug, revision_id): """Mark a revision as ready for l10n.""" revision = get_object_or_404(Revision, pk=revision_id, document__slug=document_slug) if not revision.document.allows(request.user, 'mark_ready_for_l10n'): ...
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def test_get_weather_observed(bear_lake_observed, manchester_vermont_observed): """Tests the get_weather_observed() function. """ # Weather observed - Bear Lake, RMNP, Colorado # Test object type assert isinstance(bear_lake_observed, gpd.geodataframe.GeoDataFrame) # Test precip amount asser...
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def is_all_maxed_out(bad_cube_counts, bad_cube_maximums): """Determines whether all the cubes of each type are at their maximum amounts.""" for cube_type in CUBE_TYPES: if bad_cube_counts[cube_type] < bad_cube_maximums[cube_type]: return False return True
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def get_local_vars(*args): """ get_local_vars(prov, ea, out) -> bool """ return _ida_dbg.get_local_vars(*args)
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def items(chatlog_path, out_path, to, realm): """ Parse chatlog items into LOKI format. """ chatlog_path = Path(chatlog_path).absolute() out_path = Path(out_path).absolute() click.echo(f"Parsing: {chatlog_path.as_posix()}") click.echo(f"Writing items into {out_path.as_posix()}") with op...
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def gcc(): """ getCurrentCurve Get the last curve that was added to the last plot plot :return: The last curve :rtype: pg.PlotDataItem """ plotWin = gcf() try: return plotWin.plotWidget.plotItem.dataItems[-1] except IndexError: return None
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def test_structure_roundtrip_precision(new_workdir): """Testing structure roundtrip precision ase->aiida->cp2k->aiida->ase...""" import ase.build import numpy as np from aiida.engine import run from aiida.plugins import CalculationFactory from aiida.orm import Dict, StructureData computer...
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async def more_lights(hass, lights): """Provide lights 'light.light_3' and 'light.light_4'.""" await make_lights(hass, ['light_3', 'light_4'], area_name="area_2")
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def nfs_setup(cluster: str, headers_inc: str): """Demonstrates NFS Setup using REST APIs.""" print("Demonstrates NFS Setup using REST APIs.") print("=======================================") print() show_svm(cluster, headers_inc) print() svm_name = input( "Choose the SVM on which you...
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def searchDevice(search): """ Method that searches the ExtraHop system for a device that matches the specified search criteria Parameters: search (dict): The device search criteria Returns: dict: The metadata of the device that matches the criteria """ url =...
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def regularmeshH8(nelx, nely, nelz, lx, ly, lz): """ Creates a regular H8 mesh. Args: nelx (:obj:`int`): Number of elements on the X-axis. nely (:obj:`int`): Number of elements on the Y-axis. nelz (:obj:`int`): Number of elements on the Z-axis. lx (:obj:`float`): X-axis length. ...
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def test_run_component_compile_command_instance(tmp_path, capsys, instance_aware): """ Run the component compile command for a component with a postprocessing filter """ component_name = "test-component" instance_name = "test-instance" _prepare_component(tmp_path, component_name) if inst...
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