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signature
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docstring
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loss_without_docstring
float64
loss_with_docstring
float64
factor
float64
namespaces = ct.Namespaces(**namespaces) custom = kwargs.get('custom') if custom is not None: custom = ct.CustomSelectors(**custom) if isinstance(pattern, SoupSieve): if flags: raise ValueError("Cannot process 'flags' argument on a compiled selector list") elif ...
def compile(pattern, namespaces=None, flags=0, **kwargs): # noqa: A001 if namespaces is not None
Compile CSS pattern.
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return compile(select, namespaces, flags, **kwargs).closest(tag)
def closest(select, tag, namespaces=None, flags=0, **kwargs)
Match closest ancestor.
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return compile(select, namespaces, flags, **kwargs).match(tag)
def match(select, tag, namespaces=None, flags=0, **kwargs)
Match node.
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def filter(select, iterable, namespaces=None, flags=0, **kwargs): # noqa: A001 return compile(select, namespaces, flags, **kwargs).filter(iterable)
Filter list of nodes.
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return [comment for comment in cm.CommentsMatch(tag).get_comments(limit)]
def comments(tag, limit=0, flags=0, **kwargs)
Get comments only.
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return compile(select, namespaces, flags, **kwargs).select_one(tag)
def select_one(select, tag, namespaces=None, flags=0, **kwargs)
Select a single tag.
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return compile(select, namespaces, flags, **kwargs).select(tag, limit)
def select(select, tag, namespaces=None, limit=0, flags=0, **kwargs)
Select the specified tags.
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for el in compile(select, namespaces, flags, **kwargs).iselect(tag, limit): yield el
def iselect(select, tag, namespaces=None, limit=0, flags=0, **kwargs)
Iterate the specified tags.
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request = cls._make_request('GET', cls._get_all_path(), connection, params=params) return cls._create_object(request, connection=connection)
def all(cls, connection=None, **params)
Returns first page if no params passed in as a list.
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try: limit = kwargs['limit'] except KeyError: limit = None try: page = kwargs['page'] except KeyError: page = None def _all_responses(): page = 1 # one based params = kwargs.copy() w...
def iterall(cls, connection=None, **kwargs)
Returns a autopaging generator that yields each object returned one by one.
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if rid: if resource[-1] != '/': resource += '/' resource += str(rid) response = self._run_method('GET', resource, query=query) return self._handle_response(resource, response)
def get(self, resource="", rid=None, **query)
Retrieves the resource with given id 'rid', or all resources of given type. Keep in mind that the API returns a list for any query that doesn't specify an ID, even when applying a limit=1 filter. Also be aware that float values tend to come back as strings ("2.0000" instead of 2.0) Keyw...
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if resource[-1] != '/': resource += '/' resource += str(rid) return self.put(resource, data=updates)
def update(self, resource, rid, updates)
Updates the resource with id 'rid' with the given updates dictionary.
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if resource[-1] != '/': resource += '/' resource += str(rid) response = self._run_method('DELETE', resource) return self._handle_response(resource, response, suppress_empty=True)
def delete(self, resource, rid=None): # note that rid can't be 0 - problem? if rid
Deletes the resource with given id 'rid', or all resources of given type if rid is not supplied.
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response = self._run_method('PUT', url, data=data) log.debug("OUTPUT: %s" % response.content) return self._handle_response(url, response)
def put(self, url, data)
Make a PUT request to save data. data should be a dictionary.
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response = self._run_method('POST', url, data=data, headers=headers) return self._handle_response(url, response)
def post(self, url, data, headers={})
POST request for creating new objects. data should be a dictionary.
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self._last_response = res result = {} if res.status_code in (200, 201, 202): try: result = res.json() except Exception as e: # json might be invalid, or store might be down e.message += " (_handle_response failed to decode JSON: "...
def _handle_response(self, url, res, suppress_empty=True)
Returns parsed JSON or raises an exception appropriately.
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encoded_json, encoded_hmac = signed_payload.split('.') dc_json = base64.b64decode(encoded_json) signature = base64.b64decode(encoded_hmac) expected_sig = hmac.new(client_secret.encode(), base64.b64decode(encoded_json), hashlib.sha256).hexdigest() authorised = hmac.compar...
def verify_payload(signed_payload, client_secret)
Given a signed payload (usually passed as parameter in a GET request to the app's load URL) and a client secret, authenticates the payload and returns the user's data, or False on fail. Uses constant-time str comparison to prevent vulnerability to timing attacks.
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res = self.post(token_url, {'client_id': self.client_id, 'client_secret': client_secret, 'code': code, 'context': context, 'scope': scope, ...
def fetch_token(self, client_secret, code, context, scope, redirect_uri, token_url='https://login.bigcommerce.com/oauth2/token')
Fetches a token from given token_url, using given parameters, and sets up session headers for future requests. redirect_uri should be the same as your callback URL. code, context, and scope should be passed as parameters to your callback URL on app installation. Raises HttpException on ...
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result = Connection._handle_response(self, url, res, suppress_empty) if 'X-Rate-Limit-Time-Reset-Ms' in res.headers: self.rate_limit = dict(ms_until_reset=int(res.headers['X-Rate-Limit-Time-Reset-Ms']), window_size_ms=int(res.headers['X-Rate-Limit-...
def _handle_response(self, url, res, suppress_empty=True)
Adds rate limiting information on to the response object
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byte_str = text.encode('utf-8') ob = lib.hoedown_buffer_new(OUNIT) lib.hoedown_escape_html(ob, byte_str, len(byte_str), int(escape_slash)) try: return to_string(ob) finally: lib.hoedown_buffer_free(ob)
def escape_html(text, escape_slash=False)
Binding for Hoedown's HTML escaping function. The implementation is inspired by the OWASP XSS Prevention recommendations: .. code-block:: none & --> &amp; < --> &lt; > --> &gt; " --> &quot; ' --> &#x27; / --> &#x2F; when escape_slash is set to True .. ver...
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extensions = args_to_int(extension_map, extensions) render_flags = args_to_int(html_flag_map, render_flags) ib = lib.hoedown_buffer_new(IUNIT) ob = lib.hoedown_buffer_new(OUNIT) renderer = lib.hoedown_html_renderer_new(render_flags, 0) document = lib.hoedown_document_new(renderer, extensio...
def html(text, extensions=0, render_flags=0)
Convert markdown text to HTML. ``extensions`` can be a list or tuple of extensions (e.g. ``('fenced-code', 'footnotes', 'strikethrough')``) or an integer (e.g. ``EXT_FENCED_CODE | EXT_FOOTNOTES | EXT_STRIKETHROUGH``). ``render_flags`` can be a list or tuple of flags (e.g. ``('skip-html', 'hard-wra...
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byte_str = text.encode('utf-8') ob = lib.hoedown_buffer_new(OUNIT) lib.hoedown_html_smartypants(ob, byte_str, len(byte_str)) try: return to_string(ob) finally: lib.hoedown_buffer_free(ob);
def smartypants(text)
Transforms sequences of characters into HTML entities. =================================== ===================== ========= Markdown HTML Result =================================== ===================== ========= ``'s`` (s, t, m, d, re, ll, ve) &rsq...
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if self.check_url(raw_url): url = self.rewrite_url(('mailto:' if is_email else '') + raw_url) url = escape_html(url) return '<a href="%s">%s</a>' % (url, escape_html(raw_url)) else: return escape_html('<%s>' % raw_url)
def autolink(self, raw_url, is_email)
Filters links generated by the ``autolink`` extension.
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if self.check_url(raw_url, is_image_src=True): url = self.rewrite_url(raw_url, is_image_src=True) maybe_alt = ' alt="%s"' % escape_html(alt) if alt else '' maybe_title = ' title="%s"' % escape_html(title) if title else '' url = escape_html(url) ...
def image(self, raw_url, title='', alt='')
Filters the ``src`` attribute of an image. Note that filtering the source URL of an ``<img>`` tag is only a very basic protection, and it's mostly useless in modern browsers (they block JavaScript in there by default). An example of attack that filtering does not thwart is phishing base...
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if self.check_url(raw_url): url = self.rewrite_url(raw_url) maybe_title = ' title="%s"' % escape_html(title) if title else '' url = escape_html(url) return ('<a href="%s"%s>' % (url, maybe_title)) + content + '</a>' else: return escap...
def link(self, content, raw_url, title='')
Filters links.
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return bool(self._allowed_url_re.match(url))
def check_url(self, url, is_image_src=False)
This method is used to check a URL. Returns :obj:`True` if the URL is "safe", :obj:`False` otherwise. The default implementation only allows HTTP and HTTPS links. That means no ``mailto:``, no ``xmpp:``, no ``ftp:``, etc. This method exists specifically to allow easy customization of ...
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rewrite = self.img_src_rewrite if is_image_src else self.link_rewrite if rewrite: return rewrite.format(url=urlquote(url)) return url
def rewrite_url(self, url, is_image_src=False)
This method is called to rewrite URLs. It uses either ``self.link_rewrite`` or ``self.img_src_rewrite`` depending on the value of ``is_image_src``. The URL is returned unchanged if the corresponding attribute is :obj:`None`.
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if isinstance(argument, int): if argument == 0: return 0 deprecation('passing extensions and flags as constants is deprecated') return argument elif isinstance(argument, (tuple, list)): return reduce(op.or_, [mapping[n] for n in set(argument) if n in mapping], 0)...
def args_to_int(mapping, argument)
Convert list of strings to an int using a mapping.
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global compatibility ext_handlers = options.get("ext_handlers") if obj is None: _pack_nil(obj, fp, options) elif ext_handlers and obj.__class__ in ext_handlers: _pack_ext(ext_handlers[obj.__class__](obj), fp, options) elif isinstance(obj, bool): _pack_boolean(obj, fp, ...
def _pack3(obj, fp, **options)
Serialize a Python object into MessagePack bytes. Args: obj: a Python object fp: a .write()-supporting file-like object Kwargs: ext_handlers (dict): dictionary of Ext handlers, mapping a custom type to a callable that packs an instance of the type ...
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# Break circular dependency. # pylint: disable=g-import-not-at-top import pipeline if pipeline._TEST_MODE: return None # Further protect against test cases that doesn't set env vars # propertly. if ("CURRENT_VERSION_ID" not in os.environ or "CURRENT_MODULE_ID" not in os.environ): logging...
def _get_task_target()
Get the default target for a pipeline task. Current version id format is: user_defined_version.minor_version_number Current module id is just the module's name. It could be "default" Returns: A complete target name is of format version.module. If module is the default module, just version. None if target ...
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fq_name = str(fq_name) module_name = __name__ short_name = fq_name if fq_name.rfind(".") >= 0: (module_name, short_name) = (fq_name[:fq_name.rfind(".")], fq_name[fq_name.rfind(".") + 1:]) try: result = __import__(module_name, None, None, [short_name]) return r...
def for_name(fq_name, recursive=False)
Find class/function/method specified by its fully qualified name. Fully qualified can be specified as: * <module_name>.<class_name> * <module_name>.<function_name> * <module_name>.<class_name>.<method_name> (an unbound method will be returned in this case). for_name works by doing __import__ for...
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CO_GENERATOR = 0x20 return bool(((inspect.isfunction(obj) or inspect.ismethod(obj)) and obj.func_code.co_flags & CO_GENERATOR))
def is_generator_function(obj)
Return true if the object is a user-defined generator function. Generator function objects provides same attributes as functions. See isfunction.__doc__ for attributes listing. Adapted from Python 2.6. Args: obj: an object to test. Returns: true if the object is generator function.
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global _TYPE_TO_ENCODER global _TYPE_NAME_TO_DECODER if object_type not in _TYPE_TO_ENCODER: _TYPE_TO_ENCODER[object_type] = encoder _TYPE_NAME_TO_DECODER[object_type.__name__] = decoder
def _register_json_primitive(object_type, encoder, decoder)
Extend what Pipeline can serialize. Args: object_type: type of the object. encoder: a function that takes in an object and returns a dict of json primitives. decoder: inverse function of encoder.
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k_c = d['key_string'] if isinstance(k_c, (list, tuple)): return ndb.Key(flat=k_c) return ndb.Key(urlsafe=d['key_string'])
def _JsonDecodeKey(d)
Json decode a ndb.Key object.
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if type(o) in _TYPE_TO_ENCODER: encoder = _TYPE_TO_ENCODER[type(o)] json_struct = encoder(o) json_struct[self.TYPE_ID] = type(o).__name__ return json_struct return super(JsonEncoder, self).default(o)
def default(self, o)
Inherit docs.
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if JsonEncoder.TYPE_ID not in d: return d type_name = d.pop(JsonEncoder.TYPE_ID) if type_name in _TYPE_NAME_TO_DECODER: decoder = _TYPE_NAME_TO_DECODER[type_name] return decoder(d) else: raise TypeError("Invalid type %s.", type_name)
def _dict_to_obj(self, d)
Converts a dictionary of json object to a Python object.
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stringified = pprint.saferepr(obj) if len(stringified) > 200: return '%s... (%d bytes)' % (stringified[:200], len(stringified)) return stringified
def _short_repr(obj)
Helper function returns a truncated repr() of an object.
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default_bucket = app_identity.get_default_gcs_bucket_name() if default_bucket is None: raise Exception( "No default cloud storage bucket has been set for this application. " "This app was likely created before v1.9.0, please see: " "https://cloud.google.com/appengine/docs/php/googlestorage...
def _write_json_blob(encoded_value, pipeline_id=None)
Writes a JSON encoded value to a Cloud Storage File. This function will store the blob in a GCS file in the default bucket under the appengine_pipeline directory. Optionally using another directory level specified by pipeline_id Args: encoded_value: The encoded JSON string. pipeline_id: A pipeline id t...
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lookup_slots = set() for arg in itertools.chain(args, kwargs.itervalues()): if arg['type'] == 'slot': lookup_slots.add(db.Key(arg['slot_key'])) slot_dict = {} for key, slot_record in zip(lookup_slots, db.get(lookup_slots)): if slot_record is None or slot_record.status != _SlotRecord.FILLED: ...
def _dereference_args(pipeline_name, args, kwargs)
Dereference a Pipeline's arguments that are slots, validating them. Each argument value passed in is assumed to be a dictionary with the format: {'type': 'value', 'value': 'serializable'} # A resolved value. {'type': 'slot', 'slot_key': 'str() on a db.Key'} # A pending Slot. Args: pipeline_name: The...
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params = { 'args': [], 'kwargs': {}, 'after_all': [], 'output_slots': {}, 'class_path': pipeline._class_path, 'queue_name': queue_name, 'base_path': base_path, 'backoff_seconds': pipeline.backoff_seconds, 'backoff_factor': pipeline.backoff_factor, 'max_at...
def _generate_args(pipeline, future, queue_name, base_path)
Generate the params used to describe a Pipeline's depedencies. The arguments passed to this method may be normal values, Slot instances (for named outputs), or PipelineFuture instances (for referring to the default output slot). Args: pipeline: The Pipeline instance to generate args for. future: The P...
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if when is None: return None ms_since_epoch = float(time.mktime(when.utctimetuple()) * 1000.0) ms_since_epoch += when.microsecond / 1000.0 return int(ms_since_epoch)
def _get_timestamp_ms(when)
Converts a datetime.datetime to integer milliseconds since the epoch. Requires special handling to preserve microseconds. Args: when: A datetime.datetime instance. Returns: Integer time since the epoch in milliseconds. If the supplied 'when' is None, the return value will be None.
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if slot_dict is None: slot_dict = {} slot_record = slot_dict.get(slot_key) if slot_record is None: raise PipelineStatusError( 'Could not find data for output slot key "%s".' % slot_key) output = {} if slot_record.status == _SlotRecord.FILLED: output['status'] = 'filled' output['fi...
def _get_internal_slot(slot_key=None, filler_pipeline_key=None, slot_dict=None)
Gets information about a _SlotRecord for display in UI. Args: slot_key: The db.Key of the slot to fetch. filler_pipeline_key: In the case the slot has not yet been filled, assume that the given db.Key (for a _PipelineRecord) will be the filler of the slot in the future. slot_dict: The slot JS...
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class_path_set = set() for cls in _PipelineMeta._all_classes: if cls.class_path is not None: class_path_set.add(cls.class_path) return sorted(class_path_set)
def get_pipeline_names()
Returns the class paths of all Pipelines defined in alphabetical order.
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query = _PipelineRecord.all(cursor=cursor) if class_path: query.filter('class_path =', class_path) query.filter('is_root_pipeline =', True) query.order('-start_time') root_list = query.fetch(count) fetch_list = [] for pipeline_record in root_list: fetch_list.append(db.Key(pipeline_record.para...
def get_root_list(class_path=None, cursor=None, count=50)
Gets a list root Pipelines. Args: class_path: Optional. If supplied, only return root Pipelines with the given class_path. By default all root pipelines are returned. cursor: Optional. When supplied, the cursor returned from the last call to get_root_list which indicates where to pick up. cou...
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return [ (prefix + '/output', _BarrierHandler), (prefix + '/run', _PipelineHandler), (prefix + '/finalized', _PipelineHandler), (prefix + '/cleanup', _CleanupHandler), (prefix + '/abort', _PipelineHandler), (prefix + '/fanout', _FanoutHandler), (prefix + '/fanout_abort', _...
def create_handlers_map(prefix='.*')
Create new handlers map. Args: prefix: url prefix to use. Returns: list of (regexp, handler) pairs for WSGIApplication constructor.
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if not self.filled: raise SlotNotFilledError('Slot with name "%s", key "%s" not yet filled.' % (self.name, self.key)) return self._value
def value(self)
Returns the current value of this slot. Returns: The value of the slot (a serializable Python type). Raises: SlotNotFilledError if the value hasn't been filled yet.
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if not self.filled: raise SlotNotFilledError('Slot with name "%s", key "%s" not yet filled.' % (self.name, self.key)) return self._filler_pipeline_key.name()
def filler(self)
Returns the pipeline ID that filled this slot's value. Returns: A string that is the pipeline ID. Raises: SlotNotFilledError if the value hasn't been filled yet.
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if not self.filled: raise SlotNotFilledError('Slot with name "%s", key "%s" not yet filled.' % (self.name, self.key)) return self._fill_datetime
def fill_datetime(self)
Returns when the slot was filled. Returns: A datetime.datetime. Raises: SlotNotFilledError if the value hasn't been filled yet.
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if slot_record.status == _SlotRecord.FILLED: self.filled = True self._filler_pipeline_key = _SlotRecord.filler.get_value_for_datastore( slot_record) self._fill_datetime = slot_record.fill_time self._value = slot_record.value
def _set_value(self, slot_record)
Sets the value of this slot based on its corresponding _SlotRecord. Does nothing if the slot has not yet been filled. Args: slot_record: The _SlotRecord containing this Slot's value.
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for name, slot_key in already_defined.iteritems(): if not isinstance(slot_key, db.Key): slot_key = db.Key(slot_key) slot = self._output_dict.get(name) if slot is None: if self._strict: raise UnexpectedPipelineError( 'Inherited output named "%s" must be...
def _inherit_outputs(self, pipeline_name, already_defined, resolve_outputs=False)
Inherits outputs from a calling Pipeline. Args: pipeline_name: The Pipeline class name (used for debugging). already_defined: Maps output name to stringified db.Key (of _SlotRecords) of any exiting output slots to be inherited by this future. resolve_outputs: When True, this method will d...
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pipeline_record = _pipeline_record # Support pipeline IDs and idempotence_keys that are not unicode. if not isinstance(pipeline_id, unicode): try: pipeline_id = pipeline_id.encode('utf-8') except UnicodeDecodeError: pipeline_id = hashlib.sha1(pipeline_id).hexdigest() p...
def from_id(cls, pipeline_id, resolve_outputs=True, _pipeline_record=None)
Returns an instance corresponding to an existing Pipeline. The returned object will have the same properties a Pipeline does while it's running synchronously (e.g., like what it's first allocated), allowing callers to inspect caller arguments, outputs, fill slots, complete the pipeline, abort, retry, e...
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if not idempotence_key: idempotence_key = uuid.uuid4().hex elif not isinstance(idempotence_key, unicode): try: idempotence_key.encode('utf-8') except UnicodeDecodeError: idempotence_key = hashlib.sha1(idempotence_key).hexdigest() pipeline_key = db.Key.from_path(_Pipel...
def start(self, idempotence_key='', queue_name='default', base_path='/_ah/pipeline', return_task=False, countdown=None, eta=None)
Starts a new instance of this pipeline. Args: idempotence_key: The ID to use for this Pipeline and throughout its asynchronous workflow to ensure the operations are idempotent. If empty a starting key will be automatically assigned. queue_name: What queue this Pipeline's workflow should...
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if not self.async: raise UnexpectedPipelineError( 'May only call retry() method for asynchronous pipelines.') if self.try_cancel(): self._context.transition_retry(self._pipeline_key, retry_message) return True else: return False
def retry(self, retry_message='')
Forces a currently running asynchronous pipeline to retry. Note this may not be called by synchronous or generator pipelines. Those must instead raise the 'Retry' exception during execution. Args: retry_message: Optional message explaining why the retry happened. Returns: True if the Pipe...
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# TODO: Use thread-local variable to enforce that this is not called # while a pipeline is executing in the current thread. if (self.async and self._root_pipeline_key == self._pipeline_key and not self.try_cancel()): # Handle the special case where the root pipeline is async and thus ...
def abort(self, abort_message='')
Mark the entire pipeline up to the root as aborted. Note this should only be called from *outside* the context of a running pipeline. Synchronous and generator pipelines should raise the 'Abort' exception to cause this behavior during execution. Args: abort_message: Optional message explaining w...
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if isinstance(name_or_slot, basestring): slot = getattr(self.outputs, name_or_slot) elif isinstance(name_or_slot, Slot): slot = name_or_slot else: raise UnexpectedPipelineError( 'Could not fill invalid output name: %r' % name_or_slot) if not slot._exists: raise Sl...
def fill(self, name_or_slot, value)
Fills an output slot required by this Pipeline. Args: name_or_slot: The name of the slot (a string) or Slot record to fill. value: The serializable value to assign to this slot. Raises: UnexpectedPipelineError if the Slot no longer exists. SlotNotDeclaredError if trying to output to a ...
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if _TEST_MODE: logging.info( 'New status for %s#%s: message=%r, console_url=%r, status_links=%r', self, self.pipeline_id, message, console_url, status_links) return status_key = db.Key.from_path(_StatusRecord.kind(), self.pipeline_id) root_pipeline_key = db.Key.from_pat...
def set_status(self, message=None, console_url=None, status_links=None)
Sets the current status of this pipeline. This method is purposefully non-transactional. Updates are written to the datastore immediately and overwrite all existing statuses. Args: message: (optional) Overall status message. console_url: (optional) Relative URL to use for the "console" of this...
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# TODO: Enforce that all outputs expected by this async pipeline were # filled before this complete() function was called. May required all # async functions to declare their outputs upfront. if not self.async: raise UnexpectedPipelineError( 'May only call complete() method for asyn...
def complete(self, default_output=None)
Marks this asynchronous Pipeline as complete. Args: default_output: What value the 'default' output slot should be assigned. Raises: UnexpectedPipelineError if the slot no longer exists or this method was called for a pipeline that is not async.
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# TODO: Support positional parameters. if not self.async: raise UnexpectedPipelineError( 'May only call get_callback_url() method for asynchronous pipelines.') kwargs['pipeline_id'] = self._pipeline_key.name() params = urllib.urlencode(sorted(kwargs.items())) return '%s/callback...
def get_callback_url(self, **kwargs)
Returns a relative URL for invoking this Pipeline's callback method. Args: kwargs: Dictionary mapping keyword argument names to single values that should be passed to the callback when it is invoked. Raises: UnexpectedPipelineError if this is invoked on pipeline that is not async.
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if not self.async: raise UnexpectedPipelineError( 'May only call get_callback_task() method for asynchronous pipelines.') params = kwargs.get('params', {}) kwargs['params'] = params params['pipeline_id'] = self._pipeline_key.name() kwargs['url'] = self.base_path + '/callback' ...
def get_callback_task(self, *args, **kwargs)
Returns a task for calling back this Pipeline. Args: params: Keyword argument containing a dictionary of key/value pairs that will be passed to the callback when it is executed. args, kwargs: Passed to the taskqueue.Task constructor. Use these arguments to set the task name (for idempot...
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status = 'successful' if self.was_aborted: status = 'aborted' app_id = os.environ['APPLICATION_ID'] shard_index = app_id.find('~') if shard_index != -1: app_id = app_id[shard_index+1:] param_dict = { 'status': status, 'app_id': app_id, 'class_path': sel...
def send_result_email(self, sender=None)
Sends an email to admins indicating this Pipeline has completed. For developer convenience. Automatically called from finalized for root Pipelines that do not override the default action. Args: sender: (optional) Override the sender's email address.
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if self._root_pipeline_key is None: raise UnexpectedPipelineError( 'Could not cleanup Pipeline with unknown root pipeline ID.') if not self.is_root: return task = taskqueue.Task( params=dict(root_pipeline_key=self._root_pipeline_key), url=self.base_path + '/cleanup...
def cleanup(self)
Clean up this Pipeline and all Datastore records used for coordination. Only works when called on a root pipeline. Child pipelines will ignore calls to this method. After this method is called, Pipeline.from_id() and related status methods will return inconsistent or missing results. This method is ...
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if _TEST_MODE: logging.info( 'Setting runtime parameters for %s#%s: %r', self, self.pipeline_id, kwargs) return self if self.pipeline_id is not None: raise UnexpectedPipelineError( 'May only call with_params() on a Pipeline that has not yet ' 'been...
def with_params(self, **kwargs)
Modify various execution parameters of a Pipeline before it runs. This method has no effect in test mode. Args: kwargs: Attributes to modify on this Pipeline instance before it has been executed. Returns: This Pipeline instance, for easy chaining.
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# Do not traverse the class hierarchy fetching the class path attribute. found = cls.__dict__.get('_class_path') if found is not None: return # Do not set the _class_path for the base-class, otherwise all children's # lookups for _class_path will fall through and return 'Pipeline' above....
def _set_class_path(cls, module_dict=sys.modules)
Sets the absolute path to this class as a string. Used by the Pipeline API to reconstruct the Pipeline sub-class object at execution time instead of passing around a serialized function. Args: module_dict: Used for testing.
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self._context = context self._pipeline_key = pipeline_key self._root_pipeline_key = root_pipeline_key self._result_status = result_status self.outputs = outputs
def _set_values_internal(self, context, pipeline_key, root_pipeline_key, outputs, result_status)
Sets the user-visible values provided as an API by this class. Args: context: The _PipelineContext used for this Pipeline. pipeline_key: The db.Key of this pipeline. root_pipeline_key: The db.Key of the root pipeline. outputs: The PipelineFuture for this pipeline. result_status: The r...
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logging.debug('Callback %s(*%s, **%s)#%s with params: %r', self._class_path, _short_repr(self.args), _short_repr(self.kwargs), self._pipeline_key.name(), kwargs) return self.callback(**kwargs)
def _callback_internal(self, kwargs)
Used to execute callbacks on asynchronous pipelines.
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self._set_values_internal( context, pipeline_key, root_pipeline_key, caller_output, _PipelineRecord.RUN) logging.debug('Running %s(*%s, **%s)#%s', self._class_path, _short_repr(self.args), _short_repr(self.kwargs), self._pipeline_key.name()) return se...
def _run_internal(self, context, pipeline_key, root_pipeline_key, caller_output)
Used by the Pipeline evaluator to execute this Pipeline.
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result_status = _PipelineRecord.RUN if aborted: result_status = _PipelineRecord.ABORTED self._set_values_internal( context, pipeline_key, root_pipeline_key, caller_output, result_status) logging.debug('Finalizing %s(*%r, **%r)#%s', self._class_path, _short_repr(self...
def _finalized_internal(self, context, pipeline_key, root_pipeline_key, caller_output, aborted)
Used by the Pipeline evaluator to finalize this Pipeline.
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if cls._local._activated: cls._local._in_order_futures.add(future)
def _add_future(cls, future)
Adds a future to the list of in-order futures thus far. Args: future: The future to add to the list.
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if not hasattr(cls._local, '_in_order_futures'): cls._local._in_order_futures = set() cls._local._activated = False
def _thread_init(cls)
Ensure thread local is initialized.
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base_path, unused = (environ['PATH_INFO'].rsplit('/', 1) + [''])[:2] return cls( environ['HTTP_X_APPENGINE_TASKNAME'], environ['HTTP_X_APPENGINE_QUEUENAME'], base_path)
def from_environ(cls, environ=os.environ)
Constructs a _PipelineContext from the task queue environment.
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if not isinstance(filler_pipeline_key, db.Key): filler_pipeline_key = db.Key(filler_pipeline_key) if _TEST_MODE: slot._set_value_test(filler_pipeline_key, value) else: encoded_value = json.dumps(value, sort_keys=True, ...
def fill_slot(self, filler_pipeline_key, slot, value)
Fills a slot, enqueueing a task to trigger pending barriers. Args: filler_pipeline_key: db.Key or stringified key of the _PipelineRecord that filled this slot. slot: The Slot instance to fill. value: The serializable value to assign. Raises: UnexpectedPipelineError if the _Slot...
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def txn(): pipeline_record = db.get(root_pipeline_key) if pipeline_record is None: logging.warning( 'Tried to abort root pipeline ID "%s" but it does not exist.', root_pipeline_key.name()) raise db.Rollback() if pipeline_record.status == _PipelineRecord...
def begin_abort(self, root_pipeline_key, abort_message)
Kicks off the abort process for a root pipeline and all its children. Args: root_pipeline_key: db.Key of the root pipeline to abort. abort_message: Message explaining why the abort happened, only saved into the root pipeline. Returns: True if the abort signal was sent successfully;...
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if not isinstance(root_pipeline_key, db.Key): root_pipeline_key = db.Key(root_pipeline_key) # NOTE: The results of this query may include _PipelineRecord instances # that are not actually "reachable", meaning you cannot get to them by # starting at the root pipeline and following "fanned_out"...
def continue_abort(self, root_pipeline_key, cursor=None, max_to_notify=_MAX_ABORTS_TO_BEGIN)
Sends the abort signal to all children for a root pipeline. Args: root_pipeline_key: db.Key of the root pipeline to abort. cursor: The query cursor for enumerating _PipelineRecords when inserting tasks to cause child pipelines to terminate. max_to_notify: Used for testing.
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# Adjust all pipeline output keys for this Pipeline to be children of # the _PipelineRecord, that way we can write them all and submit in a # single transaction. for name, slot in pipeline.outputs._output_dict.iteritems(): slot.key = db.Key.from_path( *slot.key.to_path(), **dict(par...
def start(self, pipeline, return_task=True, countdown=None, eta=None)
Starts a pipeline. Args: pipeline: Pipeline instance to run. return_task: When True, do not submit the task to start the pipeline but instead return it for someone else to enqueue. countdown: Time in seconds into the future that this Task should execute. Defaults to zero. et...
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result = [] blocking_slot_keys = list(blocking_slot_keys) barrier = _BarrierRecord( parent=child_pipeline_key, key_name=purpose, target=child_pipeline_key, root_pipeline=root_pipeline_key, blocking_slots=blocking_slot_keys) result.append(barrier) for ...
def _create_barrier_entities(root_pipeline_key, child_pipeline_key, purpose, blocking_slot_keys)
Creates all of the entities required for a _BarrierRecord. Args: root_pipeline_key: The root pipeline this is part of. child_pipeline_key: The pipeline this barrier is for. purpose: _BarrierRecord.START or _BarrierRecord.FINALIZE. blocking_slot_keys: Set of db.Keys corresponding to _SlotRec...
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if isinstance(e, Retry): retry_message = str(e) logging.warning('User forced retry for pipeline ID "%s" of %r: %s', pipeline_key.name(), pipeline_func, retry_message) self.transition_retry(pipeline_key, retry_message) elif isinstance(e, Abort): abort_message = ...
def handle_run_exception(self, pipeline_key, pipeline_func, e)
Handles an exception raised by a Pipeline's user code. Args: pipeline_key: The pipeline that raised the error. pipeline_func: The class path name of the Pipeline that was running. e: The exception that was raised. Returns: True if the exception should be re-raised up through the callin...
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def txn(): pipeline_record = db.get(pipeline_key) if pipeline_record is None: logging.warning('Pipeline ID "%s" cannot be marked as run. ' 'Does not exist.', pipeline_key.name()) raise db.Rollback() if pipeline_record.status != _PipelineRecord.WAITING: ...
def transition_run(self, pipeline_key, blocking_slot_keys=None, fanned_out_pipelines=None, pipelines_to_run=None)
Marks an asynchronous or generator pipeline as running. Does nothing if the pipeline is no longer in a runnable state. Args: pipeline_key: The db.Key of the _PipelineRecord to update. blocking_slot_keys: List of db.Key instances that this pipeline's finalization barrier should wait on in a...
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4.264215
1.136108
def txn(): pipeline_record = db.get(pipeline_key) if pipeline_record is None: logging.warning( 'Tried to mark pipeline ID "%s" as complete but it does not exist.', pipeline_key.name()) raise db.Rollback() if pipeline_record.status not in ( _Pi...
def transition_complete(self, pipeline_key)
Marks the given pipeline as complete. Does nothing if the pipeline is no longer in a state that can be completed. Args: pipeline_key: db.Key of the _PipelineRecord that has completed.
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def txn(): pipeline_record = db.get(pipeline_key) if pipeline_record is None: logging.warning( 'Tried to retry pipeline ID "%s" but it does not exist.', pipeline_key.name()) raise db.Rollback() if pipeline_record.status not in ( _PipelineRecor...
def transition_retry(self, pipeline_key, retry_message)
Marks the given pipeline as requiring another retry. Does nothing if all attempts have been exceeded. Args: pipeline_key: db.Key of the _PipelineRecord that needs to be retried. retry_message: User-supplied message indicating the reason for the retry.
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2.795133
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pipeline_id = self.request.get('pipeline_id') if not pipeline_id: raise _CallbackTaskError('"pipeline_id" parameter missing.') pipeline_key = db.Key.from_path(_PipelineRecord.kind(), pipeline_id) pipeline_record = db.get(pipeline_key) if pipeline_record is None: raise _CallbackTask...
def run_callback(self)
Runs the callback for the pipeline specified in the request. Raises: _CallbackTaskError if something was wrong with the request parameters.
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2.653804
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import os import sys all_paths = os.environ.get('PYTHONPATH').split(os.pathsep) for path_dir in all_paths: dev_appserver_path = os.path.join(path_dir, 'dev_appserver.py') if os.path.exists(dev_appserver_path): logging.debug('Found appengine SDK on path!') google_appengine = os.path.dirnam...
def _fix_path()
Finds the google_appengine directory and fixes Python imports to use it.
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if hasattr(self, '_params_decoded'): return self._params_decoded if self.params_blob is not None: value_encoded = self.params_blob.open().read() else: value_encoded = self.params_text value = json.loads(value_encoded, cls=util.JsonDecoder) if isinstance(value, dict): k...
def params(self)
Returns the dictionary of parameters for this Pipeline.
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1.006374
if hasattr(self, '_value_decoded'): return self._value_decoded if self.value_blob is not None: encoded_value = self.value_blob.open().read() else: encoded_value = self.value_text self._value_decoded = json.loads(encoded_value, cls=util.JsonDecoder) return self._value_decoded
def value(self)
Returns the value of this Slot.
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barrier_index_path = barrier_index_key.to_path() # Pick out the items from the _BarrierIndex key path that we need to # construct the _BarrierRecord key path. (pipeline_kind, dependent_pipeline_id, unused_kind, purpose) = barrier_index_path[-4:] barrier_record_path = ( pipeline_k...
def to_barrier_key(cls, barrier_index_key)
Converts a _BarrierIndex key to a _BarrierRecord key. Args: barrier_index_key: db.Key for a _BarrierIndex entity. Returns: db.Key for the corresponding _BarrierRecord entity.
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# Check the page number is valid. if page <= self.page_count: raise ValueError("Page {0:d} has already started, cannot mark used labels now.".format(page)) # Add these to any existing labels marked as used. used = self._used.get(page, set()) for row, column ...
def partial_page(self, page, used_labels)
Allows a page to be marked as already partially used so you can generate a PDF to print on the remaining labels. Parameters ---------- page: positive integer The page number to mark as partially used. The page must not have already been started, i.e., for page 1 ...
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self._current_page = Drawing(*self._pagesize) if self._bgimage: self._current_page.add(self._bgimage) self._pages.append(self._current_page) self.page_count += 1 self._position = [1, 0]
def _new_page(self)
Helper function to start a new page. Not intended for external use.
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# Special case for the very first label. if self.page_count == 0: self._new_page() # Filled up a page. elif self._position == self._numlabels: self._new_page() # Filled up a row. elif self._position[1] == self.specs.columns: ...
def _next_label(self)
Helper method to move to the next label. Not intended for external use. This does not increment the label_count attribute as the next label may not be usable (it may have been marked as missing through partial_pages). See _next_unused_label for generally more useful method.
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self._next_label() # This label may be missing. if self.page_count in self._used: # Keep try while the label is missing. missing = self._used.get(self.page_count, set()) while tuple(self._position) in missing: # Throw the missing info...
def _next_unused_label(self)
Helper method to move to the next unused label. Not intended for external use. This method will shade in any missing labels if desired, and will increment the label_count attribute once a suitable label position has been found.
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# Calculate the left edge of the label. left = self.specs.left_margin left += (self.specs.label_width * (self._position[1] - 1)) if self.specs.column_gap: left += (self.specs.column_gap * (self._position[1] - 1)) left *= mm # And the bottom. ...
def _calculate_edges(self)
Calculate edges of the current label. Not intended for external use.
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# Start a drawing for the whole label. label = Drawing(float(self._lw), float(self._lh)) label.add(self._clip_label) # Fill with a rectangle; the clipping path will take care of the borders. r = shapes.Rect(0, 0, float(self._lw), float(self._lh)) r.fillColor = s...
def _shade_missing_label(self)
Helper method to shade a missing label. Not intended for external use.
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# Sanity check. if not self.shade_missing: return # Run through each missing label left in the current page and shade it. missing = self._used.get(self.page_count, set()) for position in missing: self._position = position self._shade_...
def _shade_remaining_missing(self)
Helper method to shade any missing labels remaining on the current page. Not intended for external use. Note that this will modify the internal _position attribute and should therefore only be used once all the 'real' labels have been drawn.
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# Start a drawing for the whole label. label = Drawing(float(self._lw), float(self._lh)) label.add(self._clip_label) # And one for the available area (i.e., after padding). available = Drawing(float(self._dw), float(self._dh)) available.add(self._clip_drawing) ...
def _draw_label(self, obj, count)
Helper method to draw on the current label. Not intended for external use.
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# If we can convert it to an int, do so and use the itertools.repeat() # method to create an infinite iterator from it. Otherwise, assume it # is an iterable or sequence. try: count = int(count) except TypeError: pass else: cou...
def add_labels(self, objects, count=1)
Add multiple labels to the sheet. Parameters ---------- objects: iterable An iterable of the objects to add. Each of these will be passed to the add_label method. Note that if this is a generator it will be consumed. count: positive integer or iterabl...
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# Shade any remaining missing labels if desired. self._shade_remaining_missing() # Create a canvas. canvas = Canvas(filelike, pagesize=self._pagesize) # Render each created page onto the canvas. for page in self._pages: renderPDF.draw(page, canvas, ...
def save(self, filelike)
Save the file as a PDF. Parameters ---------- filelike: path or file-like object The filename or file-like object to save the labels under. Any existing contents will be overwritten.
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# Check the page number. if page < 1 or page > self.page_count: raise ValueError("Invalid page number; should be between 1 and {0:d}.".format(self.page_count)) # Shade any remaining missing labels if desired. self._shade_remaining_missing() # Rendering to a...
def preview(self, page, filelike, format='png', dpi=72, background_colour=0xFFFFFF)
Render a preview image of a page. Parameters ---------- page: positive integer Which page to render. Must be in the range [1, page_count] filelike: path or file-like object Can be a filename as a string, a Python file object, or something which behave...
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# Check the page number. if page < 1 or page > self.page_count: raise ValueError("Invalid page number; should be between 1 and {0:d}.".format(self.page_count)) # Shade any remaining missing labels if desired. self._shade_remaining_missing() # Rendering to a...
def preview_string(self, page, format='png', dpi=72, background_colour=0xFFFFFF)
Render a preview image of a page as a string. Parameters ---------- page: positive integer Which page to render. Must be in the range [1, page_count] format: string The image format to use for the preview. ReportLab uses the Python Imaging Library (PI...
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boxes = {} # Check the parameters. if mode not in ('fraction', 'actual'): raise ValueError("Unknown mode {0}.".format(mode)) if output not in ('dict', 'json'): raise ValueError("Unknown output {0}.".format(output)) # Iterate over the rows. ...
def bounding_boxes(self, mode='fraction', output='dict')
Get the bounding boxes of the labels on a page. Parameters ---------- mode: 'fraction', 'actual' If 'fraction', the bounding boxes are expressed as a fraction of the height and width of the sheet. If 'actual', they are the actual position of the labels in mil...
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others = [] spans = [i for i in findBalanced(text, open, close)] spanscopy = copy(spans) for i in range(len(spans)): start, end = spans[i] o = text[start:end] ol = o.lower() if 'vaata|' in ol or 'wikitable' in ol: spanscopy.remove(spans[i]) c...
def templatesCollector(text, open, close)
leaves related articles and wikitables in place
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seen_layers = set() for k, v in kwargs.items(): if k not in LEGAL_ARGUMENTS: raise ValueError('Illegal argument <{0}>!'.format(k)) if k in AESTHETICS: if v in seen_layers: raise ValueError('Layer <{0}> mapped for more than a single aesthetic!'.format(...
def assert_legal_arguments(kwargs)
Assert that PrettyPrinter arguments are correct. Raises ------ ValueError In case there are unknown arguments or a single layer is mapped to more than one aesthetic.
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aesthetics = {} values = {} for aes in AESTHETICS: if aes in kwargs: aesthetics[aes] = kwargs[aes] val_name = AES_VALUE_MAP[aes] # map the user-provided CSS value or use the default values[aes] = kwargs.get(val_name, DEFAULT_VALUE_MAP[aes]) re...
def parse_arguments(kwargs)
Function that parses PrettyPrinter arguments. Detects which aesthetics are mapped to which layers and collects user-provided values. Parameters ---------- kwargs: dict The keyword arguments to PrettyPrinter. Returns ------- dict, dict First dictionary is aesthetic to la...
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