_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q0 | AbstractElement.settext | train | def settext(self, text, cls='current'):
"""Set the text for this element.
Arguments:
text (str): The text
cls (str): The class of the text, defaults to ``current`` (leave this unless you know what you are doing). There may be only one text content element of each class associate... | python | {
"resource": ""
} |
q1 | AbstractElement.setdocument | train | def setdocument(self, doc):
"""Associate a document with this element.
Arguments:
doc (:class:`Document`): A document
Each element must be associated with a FoLiA document.
"""
assert isinstance(doc, Document)
if not self.doc:
self.doc = doc
... | python | {
"resource": ""
} |
q2 | AbstractElement.addable | train | def addable(Class, parent, set=None, raiseexceptions=True):
"""Tests whether a new element of this class can be added to the parent.
This method is mostly for internal use.
This will use the ``OCCURRENCES`` property, but may be overidden by subclasses for more customised behaviour.
Par... | python | {
"resource": ""
} |
q3 | AbstractElement.postappend | train | def postappend(self):
"""This method will be called after an element is added to another and does some checks.
It can do extra checks and if necessary raise exceptions to prevent addition. By default makes sure the right document is associated.
This method is mostly for internal use.
"... | python | {
"resource": ""
} |
q4 | AbstractElement.updatetext | train | def updatetext(self):
"""Recompute textual value based on the text content of the children. Only supported on elements that are a ``TEXTCONTAINER``"""
if self.TEXTCONTAINER:
s = ""
for child in self:
if isinstance(child, AbstractElement):
child... | python | {
"resource": ""
} |
q5 | AbstractElement.ancestors | train | def ancestors(self, Class=None):
"""Generator yielding all ancestors of this element, effectively back-tracing its path to the root element. A tuple of multiple classes may be specified.
Arguments:
*Class: The class or classes (:class:`AbstractElement` or subclasses). Not instances!
... | python | {
"resource": ""
} |
q6 | AbstractElement.ancestor | train | def ancestor(self, *Classes):
"""Find the most immediate ancestor of the specified type, multiple classes may be specified.
Arguments:
*Classes: The possible classes (:class:`AbstractElement` or subclasses) to select from. Not instances!
Example::
paragraph = word.ance... | python | {
"resource": ""
} |
q7 | AbstractElement.json | train | def json(self, attribs=None, recurse=True, ignorelist=False):
"""Serialises the FoLiA element and all its contents to a Python dictionary suitable for serialisation to JSON.
Example::
import json
json.dumps(word.json())
Returns:
dict
"""
jso... | python | {
"resource": ""
} |
q8 | AbstractElement.xmlstring | train | def xmlstring(self, pretty_print=False):
"""Serialises this FoLiA element and all its contents to XML.
Returns:
str: a string with XML representation for this element and all its children"""
s = ElementTree.tostring(self.xml(), xml_declaration=False, pretty_print=pretty_print, encod... | python | {
"resource": ""
} |
q9 | AbstractElement.select | train | def select(self, Class, set=None, recursive=True, ignore=True, node=None): #pylint: disable=bad-classmethod-argument,redefined-builtin
"""Select child elements of the specified class.
A further restriction can be made based on set.
Arguments:
Class (class): The class to select; an... | python | {
"resource": ""
} |
q10 | AbstractElement.getmetadata | train | def getmetadata(self, key=None):
"""Get the metadata that applies to this element, automatically inherited from parent elements"""
if self.metadata:
d = self.doc.submetadata[self.metadata]
elif self.parent:
d = self.parent.getmetadata()
elif self.doc:
... | python | {
"resource": ""
} |
q11 | AbstractElement.getindex | train | def getindex(self, child, recursive=True, ignore=True):
"""Get the index at which an element occurs, recursive by default!
Returns:
int
"""
#breadth first search
for i, c in enumerate(self.data):
if c is child:
return i
if recursi... | python | {
"resource": ""
} |
q12 | AbstractElement.precedes | train | def precedes(self, other):
"""Returns a boolean indicating whether this element precedes the other element"""
try:
ancestor = next(commonancestors(AbstractElement, self, other))
except StopIteration:
raise Exception("Elements share no common ancestor")
#now we jus... | python | {
"resource": ""
} |
q13 | AbstractElement.depthfirstsearch | train | def depthfirstsearch(self, function):
"""Generic depth first search algorithm using a callback function, continues as long as the callback function returns None"""
result = function(self)
if result is not None:
return result
for e in self:
result = e.depthfirstsea... | python | {
"resource": ""
} |
q14 | AbstractElement.next | train | def next(self, Class=True, scope=True, reverse=False):
"""Returns the next element, if it is of the specified type and if it does not cross the boundary of the defined scope. Returns None if no next element is found. Non-authoritative elements are never returned.
Arguments:
* ``Class``: The... | python | {
"resource": ""
} |
q15 | AbstractElement.previous | train | def previous(self, Class=True, scope=True):
"""Returns the previous element, if it is of the specified type and if it does not cross the boundary of the defined scope. Returns None if no next element is found. Non-authoritative elements are never returned.
Arguments:
* ``Class``: The class ... | python | {
"resource": ""
} |
q16 | AbstractElement.remove | train | def remove(self, child):
"""Removes the child element"""
if not isinstance(child, AbstractElement):
raise ValueError("Expected AbstractElement, got " + str(type(child)))
if child.parent == self:
child.parent = None
self.data.remove(child)
#delete from inde... | python | {
"resource": ""
} |
q17 | AllowTokenAnnotation.hasannotation | train | def hasannotation(self,Class,set=None):
"""Returns an integer indicating whether such as annotation exists, and if so, how many.
See :meth:`AllowTokenAnnotation.annotations`` for a description of the parameters."""
return sum( 1 for _ in self.select(Class,set,True,default_ignore_annotations)) | python | {
"resource": ""
} |
q18 | AllowTokenAnnotation.annotation | train | def annotation(self, type, set=None):
"""Obtain a single annotation element.
A further restriction can be made based on set.
Arguments:
Class (class): The class to select; any python class (not instance) subclassed off :class:`AbstractElement`
Set (str): The set to matc... | python | {
"resource": ""
} |
q19 | AbstractStructureElement.hasannotationlayer | train | def hasannotationlayer(self, annotationtype=None,set=None):
"""Does the specified annotation layer exist?"""
l = self.layers(annotationtype, set)
return (len(l) > 0) | python | {
"resource": ""
} |
q20 | TextContent.getreference | train | def getreference(self, validate=True):
"""Returns and validates the Text Content's reference. Raises UnresolvableTextContent when invalid"""
if self.offset is None: return None #nothing to test
if self.ref:
ref = self.doc[self.ref]
else:
ref = self.finddefaultref... | python | {
"resource": ""
} |
q21 | PhonContent.getreference | train | def getreference(self, validate=True):
"""Return and validate the Phonetic Content's reference. Raises UnresolvableTextContent when invalid"""
if self.offset is None: return None #nothing to test
if self.ref:
ref = self.doc[self.ref]
else:
ref = self.finddefaultr... | python | {
"resource": ""
} |
q22 | Word.findspans | train | def findspans(self, type,set=None):
"""Yields span annotation elements of the specified type that include this word.
Arguments:
type: The annotation type, can be passed as using any of the :class:`AnnotationType` member, or by passing the relevant :class:`AbstractSpanAnnotation` or :class:`... | python | {
"resource": ""
} |
q23 | AbstractSpanAnnotation.setspan | train | def setspan(self, *args):
"""Sets the span of the span element anew, erases all data inside.
Arguments:
*args: Instances of :class:`Word`, :class:`Morpheme` or :class:`Phoneme`
"""
self.data = []
for child in args:
self.append(child) | python | {
"resource": ""
} |
q24 | AbstractSpanAnnotation._helper_wrefs | train | def _helper_wrefs(self, targets, recurse=True):
"""Internal helper function"""
for c in self:
if isinstance(c,Word) or isinstance(c,Morpheme) or isinstance(c, Phoneme):
targets.append(c)
elif isinstance(c,WordReference):
try:
ta... | python | {
"resource": ""
} |
q25 | AbstractSpanAnnotation.wrefs | train | def wrefs(self, index = None, recurse=True):
"""Returns a list of word references, these can be Words but also Morphemes or Phonemes.
Arguments:
index (int or None): If set to an integer, will retrieve and return the n'th element (starting at 0) instead of returning the list of all
... | python | {
"resource": ""
} |
q26 | AbstractSpanAnnotation.copychildren | train | def copychildren(self, newdoc=None, idsuffix=""):
"""Generator creating a deep copy of the children of this element. If idsuffix is a string, if set to True, a random idsuffix will be generated including a random 32-bit hash"""
if idsuffix is True: idsuffix = ".copy." + "%08x" % random.getrandbits(32) #... | python | {
"resource": ""
} |
q27 | AbstractAnnotationLayer.alternatives | train | def alternatives(self, Class=None, set=None):
"""Generator over alternatives, either all or only of a specific annotation type, and possibly restrained also by set.
Arguments:
* ``Class`` - The Class you want to retrieve (e.g. PosAnnotation). Or set to None to select all alternatives regard... | python | {
"resource": ""
} |
q28 | AbstractAnnotationLayer.findspan | train | def findspan(self, *words):
"""Returns the span element which spans over the specified words or morphemes.
See also:
:meth:`Word.findspans`
"""
for span in self.select(AbstractSpanAnnotation,None,True):
if tuple(span.wrefs()) == words:
return spa... | python | {
"resource": ""
} |
q29 | Correction.hasnew | train | def hasnew(self,allowempty=False):
"""Does the correction define new corrected annotations?"""
for e in self.select(New,None,False, False):
if not allowempty and len(e) == 0: continue
return True
return False | python | {
"resource": ""
} |
q30 | Correction.hasoriginal | train | def hasoriginal(self,allowempty=False):
"""Does the correction record the old annotations prior to correction?"""
for e in self.select(Original,None,False, False):
if not allowempty and len(e) == 0: continue
return True
return False | python | {
"resource": ""
} |
q31 | Correction.hassuggestions | train | def hassuggestions(self,allowempty=False):
"""Does the correction propose suggestions for correction?"""
for e in self.select(Suggestion,None,False, False):
if not allowempty and len(e) == 0: continue
return True
return False | python | {
"resource": ""
} |
q32 | Correction.new | train | def new(self,index = None):
"""Get the new corrected annotation.
This returns only one annotation if multiple exist, use `index` to select another in the sequence.
Returns:
an annotation element (:class:`AbstractElement`)
Raises:
:class:`NoSuchAnnotation`
... | python | {
"resource": ""
} |
q33 | Correction.original | train | def original(self,index=None):
"""Get the old annotation prior to correction.
This returns only one annotation if multiple exist, use `index` to select another in the sequence.
Returns:
an annotation element (:class:`AbstractElement`)
Raises:
:class:`NoSuchAnno... | python | {
"resource": ""
} |
q34 | Correction.suggestions | train | def suggestions(self,index=None):
"""Get suggestions for correction.
Yields:
:class:`Suggestion` element that encapsulate the suggested annotations (if index is ``None``, default)
Returns:
a :class:`Suggestion` element that encapsulate the suggested annotations (if inde... | python | {
"resource": ""
} |
q35 | Morpheme.findspans | train | def findspans(self, type,set=None):
"""Find span annotation of the specified type that include this word"""
if issubclass(type, AbstractAnnotationLayer):
layerclass = type
else:
layerclass = ANNOTATIONTYPE2LAYERCLASS[type.ANNOTATIONTYPE]
e = self
while Tru... | python | {
"resource": ""
} |
q36 | Pattern.resolve | train | def resolve(self,size, distribution):
"""Resolve a variable sized pattern to all patterns of a certain fixed size"""
if not self.variablesize():
raise Exception("Can only resize patterns with * wildcards")
nrofwildcards = 0
for x in self.sequence:
if x == '*':
... | python | {
"resource": ""
} |
q37 | Document.load | train | def load(self, filename):
"""Load a FoLiA XML file.
Argument:
filename (str): The file to load
"""
#if LXE and self.mode != Mode.XPATH:
# #workaround for xml:id problem (disabled)
# #f = open(filename)
# #s = f.read().replace(' xml:id=', ' id... | python | {
"resource": ""
} |
q38 | Document.items | train | def items(self):
"""Returns a depth-first flat list of all items in the document"""
l = []
for e in self.data:
l += e.items()
return l | python | {
"resource": ""
} |
q39 | Document.save | train | def save(self, filename=None):
"""Save the document to file.
Arguments:
* filename (str): The filename to save to. If not set (``None``, default), saves to the same file as loaded from.
"""
if not filename:
filename = self.filename
if not filename:
... | python | {
"resource": ""
} |
q40 | Document.xmldeclarations | train | def xmldeclarations(self):
"""Internal method to generate XML nodes for all declarations"""
l = []
E = ElementMaker(namespace="http://ilk.uvt.nl/folia",nsmap={None: "http://ilk.uvt.nl/folia", 'xml' : "http://www.w3.org/XML/1998/namespace"})
for annotationtype, set in self.annotations:
... | python | {
"resource": ""
} |
q41 | Document.jsondeclarations | train | def jsondeclarations(self):
"""Return all declarations in a form ready to be serialised to JSON.
Returns:
list of dict
"""
l = []
for annotationtype, set in self.annotations:
label = None
#Find the 'label' for the declarations dynamically (aka... | python | {
"resource": ""
} |
q42 | Document.xml | train | def xml(self):
"""Serialise the document to XML.
Returns:
lxml.etree.Element
See also:
:meth:`Document.xmlstring`
"""
self.pendingvalidation()
E = ElementMaker(namespace="http://ilk.uvt.nl/folia",nsmap={'xml' : "http://www.w3.org/XML/1998/names... | python | {
"resource": ""
} |
q43 | Document.json | train | def json(self):
"""Serialise the document to a ``dict`` ready for serialisation to JSON.
Example::
import json
jsondoc = json.dumps(doc.json())
"""
self.pendingvalidation()
jsondoc = {'id': self.id, 'children': [], 'declarations': self.jsondeclarations(... | python | {
"resource": ""
} |
q44 | Document.xmlmetadata | train | def xmlmetadata(self):
"""Internal method to serialize metadata to XML"""
E = ElementMaker(namespace="http://ilk.uvt.nl/folia",nsmap={None: "http://ilk.uvt.nl/folia", 'xml' : "http://www.w3.org/XML/1998/namespace"})
elements = []
if self.metadatatype == "native":
if isinstanc... | python | {
"resource": ""
} |
q45 | Document.declare | train | def declare(self, annotationtype, set, **kwargs):
"""Declare a new annotation type to be used in the document.
Keyword arguments can be used to set defaults for any annotation of this type and set.
Arguments:
annotationtype: The type of annotation, this is conveyed by passing the c... | python | {
"resource": ""
} |
q46 | Document.defaultset | train | def defaultset(self, annotationtype):
"""Obtain the default set for the specified annotation type.
Arguments:
annotationtype: The type of annotation, this is conveyed by passing the corresponding annototion class (such as :class:`PosAnnotation` for example), or a member of :class:`Annotatio... | python | {
"resource": ""
} |
q47 | Document.defaultannotator | train | def defaultannotator(self, annotationtype, set=None):
"""Obtain the default annotator for the specified annotation type and set.
Arguments:
annotationtype: The type of annotation, this is conveyed by passing the corresponding annototion class (such as :class:`PosAnnotation` for example), or... | python | {
"resource": ""
} |
q48 | Document.parsemetadata | train | def parsemetadata(self, node):
"""Internal method to parse metadata"""
if 'type' in node.attrib:
self.metadatatype = node.attrib['type']
else:
#no type specified, default to native
self.metadatatype = "native"
if 'src' in node.attrib:
sel... | python | {
"resource": ""
} |
q49 | Document.pendingvalidation | train | def pendingvalidation(self, warnonly=None):
"""Perform any pending validations
Parameters:
warnonly (bool): Warn only (True) or raise exceptions (False). If set to None then this value will be determined based on the document's FoLiA version (Warn only before FoLiA v1.5)
Returns:
... | python | {
"resource": ""
} |
q50 | Document.paragraphs | train | def paragraphs(self, index = None):
"""Return a generator of all paragraphs found in the document.
If an index is specified, return the n'th paragraph only (starting at 0)"""
if index is None:
return self.select(Paragraph)
else:
if index < 0:
inde... | python | {
"resource": ""
} |
q51 | Document.sentences | train | def sentences(self, index = None):
"""Return a generator of all sentence found in the document. Except for sentences in quotes.
If an index is specified, return the n'th sentence only (starting at 0)"""
if index is None:
return self.select(Sentence,None,True,[Quote])
else:
... | python | {
"resource": ""
} |
q52 | NFA._states | train | def _states(self, state, processedstates=[]): #pylint: disable=dangerous-default-value
"""Iterate over all states in no particular order"""
processedstates.append(state)
for nextstate in state.epsilon:
if not nextstate in processedstates:
self._states(nextstate, proc... | python | {
"resource": ""
} |
q53 | log | train | def log(msg, **kwargs):
"""Generic log method. Will prepend timestamp.
Keyword arguments:
system - Name of the system/module
indent - Integer denoting the desired level of indentation
streams - List of streams to output to
stream - Stream to output to (singleton version of stream... | python | {
"resource": ""
} |
q54 | CornettoClient.get_syn_ids_by_lemma | train | def get_syn_ids_by_lemma(self, lemma):
"""Returns a list of synset IDs based on a lemma"""
if not isinstance(lemma,unicode):
lemma = unicode(lemma,'utf-8')
http, resp, content = self.connect()
params = ""
fragment = ""
path = "cdb_syn"
if self.de... | python | {
"resource": ""
} |
q55 | CornettoClient.get_synset_xml | train | def get_synset_xml(self,syn_id):
"""
call cdb_syn with synset identifier -> returns the synset xml;
"""
http, resp, content = self.connect()
params = ""
fragment = ""
path = "cdb_syn"
if self.debug:
printf( "cornettodb/views/query_remote_s... | python | {
"resource": ""
} |
q56 | WSDSystemOutput.senses | train | def senses(self, bestonly=False):
"""Returns a list of all predicted senses"""
l = []
for word_id, senses,distance in self:
for sense, confidence in senses:
if not sense in l: l.append(sense)
if bestonly:
break
return l | python | {
"resource": ""
} |
q57 | FrogClient.align | train | def align(self,inputwords, outputwords):
"""For each inputword, provides the index of the outputword"""
alignment = []
cursor = 0
for inputword in inputwords:
if len(outputwords) > cursor and outputwords[cursor] == inputword:
alignment.append(cursor)
... | python | {
"resource": ""
} |
q58 | tokenize | train | def tokenize(text, regexps=TOKENIZERRULES):
"""Tokenizes a string and returns a list of tokens
:param text: The text to tokenise
:type text: string
:param regexps: Regular expressions to use as tokeniser rules in tokenisation (default=_pynlpl.textprocessors.TOKENIZERRULES_)
:type regexps: Tuple/li... | python | {
"resource": ""
} |
q59 | strip_accents | train | def strip_accents(s, encoding= 'utf-8'):
"""Strip characters with diacritics and return a flat ascii representation"""
if sys.version < '3':
if isinstance(s,unicode):
return unicodedata.normalize('NFKD', s).encode('ASCII', 'ignore')
else:
return unicodedata.normalize('NFKD'... | python | {
"resource": ""
} |
q60 | swap | train | def swap(tokens, maxdist=2):
"""Perform a swap operation on a sequence of tokens, exhaustively swapping all tokens up to the maximum specified distance. This is a subset of all permutations."""
assert maxdist >= 2
tokens = list(tokens)
if maxdist > len(tokens):
maxdist = len(tokens)
l = len(... | python | {
"resource": ""
} |
q61 | find_keyword_in_context | train | def find_keyword_in_context(tokens, keyword, contextsize=1):
"""Find a keyword in a particular sequence of tokens, and return the local context. Contextsize is the number of words to the left and right. The keyword may have multiple word, in which case it should to passed as a tuple or list"""
if isinstance(key... | python | {
"resource": ""
} |
q62 | PriorityQueue.randomprune | train | def randomprune(self,n):
"""prune down to n items at random, disregarding their score"""
self.data = random.sample(self.data, n) | python | {
"resource": ""
} |
q63 | Tree.append | train | def append(self, item):
"""Add an item to the Tree"""
if not isinstance(item, Tree):
return ValueError("Can only append items of type Tree")
if not self.children: self.children = []
item.parent = self
self.children.append(item) | python | {
"resource": ""
} |
q64 | Trie.size | train | def size(self):
"""Size is number of nodes under the trie, including the current node"""
if self.children:
return sum( ( c.size() for c in self.children.values() ) ) + 1
else:
return 1 | python | {
"resource": ""
} |
q65 | CorpusDocumentX.validate | train | def validate(self, formats_dir="../formats/"):
"""checks if the document is valid"""
#TODO: download XSD from web
if self.inline:
xmlschema = ElementTree.XMLSchema(ElementTree.parse(StringIO("\n".join(open(formats_dir+"dcoi-dsc.xsd").readlines()))))
xmlschema.assertValid(... | python | {
"resource": ""
} |
q66 | CorpusDocumentX.xpath | train | def xpath(self, expression):
"""Executes an xpath expression using the correct namespaces"""
global namespaces
return self.tree.xpath(expression, namespaces=namespaces) | python | {
"resource": ""
} |
q67 | Taggerdata.align | train | def align(self, referencewords, datatuple):
"""align the reference sentence with the tagged data"""
targetwords = []
for i, (word,lemma,postag) in enumerate(zip(datatuple[0],datatuple[1],datatuple[2])):
if word:
subwords = word.split("_")
for w in subw... | python | {
"resource": ""
} |
q68 | CustomLexer.build | train | def build(self, **kwargs):
"""Build the lexer."""
self.lexer = ply.lex.lex(object=self, **kwargs) | python | {
"resource": ""
} |
q69 | BasicAuth.is_authorized | train | def is_authorized(self, request):
"""Check if the user is authenticated for the given request.
The include_paths and exclude_paths are first checked. If
authentication is required then the Authorization HTTP header is
checked against the credentials.
"""
if self._is_req... | python | {
"resource": ""
} |
q70 | BasicAuth._login | train | def _login(self, environ, start_response):
"""Send a login response back to the client."""
response = HTTPUnauthorized()
response.www_authenticate = ('Basic', {'realm': self._realm})
return response(environ, start_response) | python | {
"resource": ""
} |
q71 | BasicAuth._is_request_in_include_path | train | def _is_request_in_include_path(self, request):
"""Check if the request path is in the `_include_paths` list.
If no specific include paths are given then we assume that
authentication is required for all paths.
"""
if self._include_paths:
for path in self._include_p... | python | {
"resource": ""
} |
q72 | BasicAuth._is_request_in_exclude_path | train | def _is_request_in_exclude_path(self, request):
"""Check if the request path is in the `_exclude_paths` list"""
if self._exclude_paths:
for path in self._exclude_paths:
if request.path.startswith(path):
return True
return False
else:
... | python | {
"resource": ""
} |
q73 | bootstrap_prompt | train | def bootstrap_prompt(prompt_kwargs, group):
"""
Bootstrap prompt_toolkit kwargs or use user defined values.
:param prompt_kwargs: The user specified prompt kwargs.
"""
prompt_kwargs = prompt_kwargs or {}
defaults = {
"history": InMemoryHistory(),
"completer": ClickCompleter(gro... | python | {
"resource": ""
} |
q74 | repl | train | def repl( # noqa: C901
old_ctx,
prompt_kwargs=None,
allow_system_commands=True,
allow_internal_commands=True,
):
"""
Start an interactive shell. All subcommands are available in it.
:param old_ctx: The current Click context.
:param prompt_kwargs: Parameters passed to
:py:func:`... | python | {
"resource": ""
} |
q75 | handle_internal_commands | train | def handle_internal_commands(command):
"""Run repl-internal commands.
Repl-internal commands are all commands starting with ":".
"""
if command.startswith(":"):
target = _get_registered_target(command[1:], default=None)
if target:
return target() | python | {
"resource": ""
} |
q76 | node_definitions | train | def node_definitions(id_fetcher, type_resolver=None, id_resolver=None):
'''
Given a function to map from an ID to an underlying object, and a function
to map from an underlying object to the concrete GraphQLObjectType it
corresponds to, constructs a `Node` interface that objects can implement,
and a... | python | {
"resource": ""
} |
q77 | from_global_id | train | def from_global_id(global_id):
'''
Takes the "global ID" created by toGlobalID, and retuns the type name and ID
used to create it.
'''
unbased_global_id = unbase64(global_id)
_type, _id = unbased_global_id.split(':', 1)
return _type, _id | python | {
"resource": ""
} |
q78 | global_id_field | train | def global_id_field(type_name, id_fetcher=None):
'''
Creates the configuration for an id field on a node, using `to_global_id` to
construct the ID from the provided typename. The type-specific ID is fetcher
by calling id_fetcher on the object, or if not provided, by accessing the `id`
property on th... | python | {
"resource": ""
} |
q79 | connection_from_list | train | def connection_from_list(data, args=None, **kwargs):
'''
A simple function that accepts an array and connection arguments, and returns
a connection object for use in GraphQL. It uses array offsets as pagination,
so pagination will only work if the array is static.
'''
_len = len(data)
return... | python | {
"resource": ""
} |
q80 | connection_from_promised_list | train | def connection_from_promised_list(data_promise, args=None, **kwargs):
'''
A version of `connectionFromArray` that takes a promised array, and returns a
promised connection.
'''
return data_promise.then(lambda data: connection_from_list(data, args, **kwargs)) | python | {
"resource": ""
} |
q81 | cursor_for_object_in_connection | train | def cursor_for_object_in_connection(data, _object):
'''
Return the cursor associated with an object in an array.
'''
if _object not in data:
return None
offset = data.index(_object)
return offset_to_cursor(offset) | python | {
"resource": ""
} |
q82 | get_offset_with_default | train | def get_offset_with_default(cursor=None, default_offset=0):
'''
Given an optional cursor and a default offset, returns the offset
to use; if the cursor contains a valid offset, that will be used,
otherwise it will be the default.
'''
if not is_str(cursor):
return default_offset
offs... | python | {
"resource": ""
} |
q83 | generate | train | def generate(data, iterations=1000, force_strength=5.0, dampening=0.01,
max_velocity=2.0, max_distance=50, is_3d=True):
"""Runs a force-directed algorithm on a graph, returning a data structure.
Args:
data: An adjacency list of tuples (ie. [(1,2),...])
iterations: (Optional) Number... | python | {
"resource": ""
} |
q84 | compress | train | def compress(obj):
"""Outputs json without whitespace."""
return json.dumps(obj, sort_keys=True, separators=(',', ':'),
cls=CustomEncoder) | python | {
"resource": ""
} |
q85 | dumps | train | def dumps(obj):
"""Outputs json with formatting edits + object handling."""
return json.dumps(obj, indent=4, sort_keys=True, cls=CustomEncoder) | python | {
"resource": ""
} |
q86 | CustomEncoder.encode | train | def encode(self, obj):
"""Fired for every object."""
s = super(CustomEncoder, self).encode(obj)
# If uncompressed, postprocess for formatting
if len(s.splitlines()) > 1:
s = self.postprocess(s)
return s | python | {
"resource": ""
} |
q87 | CustomEncoder.postprocess | train | def postprocess(self, json_string):
"""Displays each entry on its own line."""
is_compressing, is_hash, compressed, spaces = False, False, [], 0
for row in json_string.split('\n'):
if is_compressing:
if (row[:spaces + 5] == ' ' * (spaces + 4) +
... | python | {
"resource": ""
} |
q88 | run | train | def run(edges, iterations=1000, force_strength=5.0, dampening=0.01,
max_velocity=2.0, max_distance=50, is_3d=True):
"""Runs a force-directed-layout algorithm on the input graph.
iterations - Number of FDL iterations to run in coordinate generation
force_strength - Strength of Coulomb and Hooke forc... | python | {
"resource": ""
} |
q89 | _coulomb | train | def _coulomb(n1, n2, k, r):
"""Calculates Coulomb forces and updates node data."""
# Get relevant positional data
delta = [x2 - x1 for x1, x2 in zip(n1['velocity'], n2['velocity'])]
distance = sqrt(sum(d ** 2 for d in delta))
# If the deltas are too small, use random values to keep things moving
... | python | {
"resource": ""
} |
q90 | run_step | train | def run_step(context):
"""Wipe the entire context.
Args:
Context is a dictionary or dictionary-like.
Does not require any specific keys in context.
"""
logger.debug("started")
context.clear()
logger.info(f"Context wiped. New context size: {len(context)}")
logger.debug("don... | python | {
"resource": ""
} |
q91 | run_step | train | def run_step(context):
"""pypyr step that checks if a file or directory path exists.
Args:
context: pypyr.context.Context. Mandatory.
The following context key must exist
- pathsToCheck. str/path-like or list of str/paths.
Path to file on... | python | {
"resource": ""
} |
q92 | run_step | train | def run_step(context):
"""Write payload out to json file.
Args:
context: pypyr.context.Context. Mandatory.
The following context keys expected:
- fileWriteJson
- path. mandatory. path-like. Write output file to
here. Will create... | python | {
"resource": ""
} |
q93 | run_step | train | def run_step(context):
"""Run another pipeline from this step.
The parent pipeline is the current, executing pipeline. The invoked, or
child pipeline is the pipeline you are calling from this step.
Args:
context: dictionary-like pypyr.context.Context. context is mandatory.
Use... | python | {
"resource": ""
} |
q94 | get_arguments | train | def get_arguments(context):
"""Parse arguments for pype from context and assign default values.
Args:
context: pypyr.context.Context. context is mandatory.
Returns:
tuple (pipeline_name, #str
use_parent_context, #bool
pipe_arg, #str
skip_parse, ... | python | {
"resource": ""
} |
q95 | get_pipeline_path | train | def get_pipeline_path(pipeline_name, working_directory):
"""Look for the pipeline in the various places it could be.
First checks the cwd. Then checks pypyr/pipelines dir.
Args:
pipeline_name: string. Name of pipeline to find
working_directory: string. Path in which to look for pipeline_na... | python | {
"resource": ""
} |
q96 | get_pipeline_definition | train | def get_pipeline_definition(pipeline_name, working_dir):
"""Open and parse the pipeline definition yaml.
Parses pipeline yaml and returns dictionary representing the pipeline.
pipeline_name.yaml should be in the working_dir/pipelines/ directory.
Args:
pipeline_name: string. Name of pipeline. ... | python | {
"resource": ""
} |
q97 | SpecialTagDirective.to_yaml | train | def to_yaml(cls, representer, node):
"""How to serialize this class back to yaml."""
return representer.represent_scalar(cls.yaml_tag, node.value) | python | {
"resource": ""
} |
q98 | PyString.get_value | train | def get_value(self, context):
"""Run python eval on the input string."""
if self.value:
return expressions.eval_string(self.value, context)
else:
# Empty input raises cryptic EOF syntax err, this more human
# friendly
raise ValueError('!py string e... | python | {
"resource": ""
} |
q99 | Step.foreach_loop | train | def foreach_loop(self, context):
"""Run step once for each item in foreach_items.
On each iteration, the invoked step can use context['i'] to get the
current iterator value.
Args:
context: (pypyr.context.Context) The pypyr context. This arg will
mutate.... | python | {
"resource": ""
} |
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