_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q7900 | RTMP.handle_packet | train | def handle_packet(self, packet):
"""Lets librtmp look at a packet and send a response
if needed."""
if not isinstance(packet, RTMPPacket):
raise ValueError("A RTMPPacket argument is required")
return librtmp.RTMP_ClientPacket(self.rtmp, packet.packet) | python | {
"resource": ""
} |
q7901 | RTMP.process_packets | train | def process_packets(self, transaction_id=None, invoked_method=None,
timeout=None):
"""Wait for packets and process them as needed.
:param transaction_id: int, Wait until the result of this
transaction ID is recieved.
:param invoked_method: ... | python | {
"resource": ""
} |
q7902 | RTMP.call | train | def call(self, method, *args, **params):
"""Calls a method on the server."""
transaction_id = params.get("transaction_id")
if not transaction_id:
self.transaction_id += 1
transaction_id = self.transaction_id
obj = params.get("obj")
args = [method, tran... | python | {
"resource": ""
} |
q7903 | RTMP.remote_method | train | def remote_method(self, method, block=False, **params):
"""Creates a Python function that will attempt to
call a remote method when used.
:param method: str, Method name on the server to call
:param block: bool, Wheter to wait for result or not
Usage::
>>> send_us... | python | {
"resource": ""
} |
q7904 | RTMPCall.result | train | def result(self, timeout=None):
"""Retrieves the result of the call.
:param timeout: The time to wait for a result from the server.
Raises :exc:`RTMPTimeoutError` on timeout.
"""
if self.done:
return self._result
result = self.conn.process_packets(transacti... | python | {
"resource": ""
} |
q7905 | add_signal_handler | train | def add_signal_handler():
"""Adds a signal handler to handle KeyboardInterrupt."""
import signal
def handler(sig, frame):
if sig == signal.SIGINT:
librtmp.RTMP_UserInterrupt()
raise KeyboardInterrupt
signal.signal(signal.SIGINT, handler) | python | {
"resource": ""
} |
q7906 | BaseMesh.rotate_x | train | def rotate_x(self, deg):
"""Rotate mesh around x-axis
:param float deg: Rotation angle (degree)
:return:
"""
rad = math.radians(deg)
mat = numpy.array([
[1, 0, 0, 0],
[0, math.cos(rad), math.sin(rad), 0],
[0, -math.sin(rad), math.cos(r... | python | {
"resource": ""
} |
q7907 | BaseMesh.translate_x | train | def translate_x(self, d):
"""Translate mesh for x-direction
:param float d: Amount to translate
"""
mat = numpy.array([
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[d, 0, 0, 1]
])
self.vectors = self.vectors.dot(mat)
... | python | {
"resource": ""
} |
q7908 | BaseMesh.translate_y | train | def translate_y(self, d):
"""Translate mesh for y-direction
:param float d: Amount to translate
"""
mat = numpy.array([
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, d, 0, 1]
])
self.vectors = self.vectors.dot(mat)
... | python | {
"resource": ""
} |
q7909 | BaseMesh.translate_z | train | def translate_z(self, d):
"""Translate mesh for z-direction
:param float d: Amount to translate
"""
mat = numpy.array([
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, d, 1]
])
self.vectors = self.vectors.dot(mat)
... | python | {
"resource": ""
} |
q7910 | Stl.__load | train | def __load(fh, mode=MODE_AUTO):
"""Load Mesh from STL file
:param FileIO fh: The file handle to open
:param int mode: The mode to open, default is :py:data:`AUTOMATIC`.
:return:
"""
header = fh.read(Stl.HEADER_SIZE).lower()
name = ""
data = None
i... | python | {
"resource": ""
} |
q7911 | initialize_logger | train | def initialize_logger():
"""Initialize steppy logger.
This logger is used throughout the steppy library to report computation progress.
Example:
Simple use of steppy logger:
.. code-block:: python
initialize_logger()
logger = get_logger()
... | python | {
"resource": ""
} |
q7912 | display_upstream_structure | train | def display_upstream_structure(structure_dict):
"""Displays pipeline structure in the jupyter notebook.
Args:
structure_dict (dict): dict returned by
:func:`~steppy.base.Step.upstream_structure`.
"""
graph = _create_graph(structure_dict)
plt = Image(graph.create_png())
displ... | python | {
"resource": ""
} |
q7913 | persist_as_png | train | def persist_as_png(structure_dict, filepath):
"""Saves pipeline diagram to disk as png file.
Args:
structure_dict (dict): dict returned by
:func:`~steppy.base.Step.upstream_structure`
filepath (str): filepath to which the png with pipeline visualization should be persisted
"""
... | python | {
"resource": ""
} |
q7914 | _create_graph | train | def _create_graph(structure_dict):
"""Creates pydot graph from the pipeline structure dict.
Args:
structure_dict (dict): dict returned by step.upstream_structure
Returns:
graph (pydot.Dot): object representing upstream pipeline structure (with regard to the current Step).
"""
graph... | python | {
"resource": ""
} |
q7915 | Adapter.adapt | train | def adapt(self, all_ouputs: AllOutputs) -> DataPacket:
"""Adapt inputs for the transformer included in the step.
Args:
all_ouputs: Dict of outputs from parent steps. The keys should
match the names of these steps and the values should be their
respective outp... | python | {
"resource": ""
} |
q7916 | Step.fit_transform | train | def fit_transform(self, data):
"""Fit the model and transform data or load already processed data.
Loads cached or persisted output or adapts data for the current transformer and
executes ``transformer.fit_transform``.
Args:
data (dict): data dictionary with keys as input n... | python | {
"resource": ""
} |
q7917 | Step.clean_cache_step | train | def clean_cache_step(self):
"""Clean cache for current step.
"""
logger.info('Step {}, cleaning cache'.format(self.name))
self.output = None
return self | python | {
"resource": ""
} |
q7918 | Step.clean_cache_upstream | train | def clean_cache_upstream(self):
"""Clean cache for all steps that are upstream to `self`.
"""
logger.info('Cleaning cache for the entire upstream pipeline')
for step in self.all_upstream_steps.values():
logger.info('Step {}, cleaning cache'.format(step.name))
step... | python | {
"resource": ""
} |
q7919 | Step.get_step_by_name | train | def get_step_by_name(self, name):
"""Extracts step by name from the pipeline.
Extracted Step is a fully functional pipeline as well.
All upstream Steps are already defined.
Args:
name (str): name of the step to be fetched
Returns:
Step (obj): extracted s... | python | {
"resource": ""
} |
q7920 | Step.persist_upstream_structure | train | def persist_upstream_structure(self):
"""Persist json file with the upstream steps structure, that is step names and their connections."""
persist_dir = os.path.join(self.experiment_directory, '{}_upstream_structure.json'.format(self.name))
logger.info('Step {}, saving upstream pipeline structur... | python | {
"resource": ""
} |
q7921 | Step.persist_upstream_diagram | train | def persist_upstream_diagram(self, filepath):
"""Creates upstream steps diagram and persists it to disk as png file.
Pydot graph is created and persisted to disk as png file under the filepath directory.
Args:
filepath (str): filepath to which the png with steps visualization shoul... | python | {
"resource": ""
} |
q7922 | BaseTransformer.fit_transform | train | def fit_transform(self, *args, **kwargs):
"""Performs fit followed by transform.
This method simply combines fit and transform.
Args:
args: positional arguments (can be anything)
kwargs: keyword arguments (can be anything)
Returns:
dict: output
... | python | {
"resource": ""
} |
q7923 | generate_hotp | train | def generate_hotp(secret, counter=4):
"""Generate a HOTP code.
:param secret: A secret token for the authentication.
:param counter: HOTP is a counter based algorithm.
"""
# https://tools.ietf.org/html/rfc4226
msg = struct.pack('>Q', counter)
digest = hmac.new(to_bytes(secret), msg, hashlib... | python | {
"resource": ""
} |
q7924 | generate_totp | train | def generate_totp(secret, period=30, timestamp=None):
"""Generate a TOTP code.
A TOTP code is an extension of HOTP algorithm.
:param secret: A secret token for the authentication.
:param period: A period that a TOTP code is valid in seconds
:param timestamp: Current time stamp.
"""
if time... | python | {
"resource": ""
} |
q7925 | OtpAuth.valid_hotp | train | def valid_hotp(self, code, last=0, trials=100):
"""Valid a HOTP code.
:param code: A number that is less than 6 characters.
:param last: Guess HOTP code from last + 1 range.
:param trials: Guest HOTP code end at last + trials + 1.
"""
if not valid_code(code):
... | python | {
"resource": ""
} |
q7926 | OtpAuth.valid_totp | train | def valid_totp(self, code, period=30, timestamp=None):
"""Valid a TOTP code.
:param code: A number that is less than 6 characters.
:param period: A period that a TOTP code is valid in seconds
:param timestamp: Validate TOTP at this given timestamp
"""
if not valid_code(c... | python | {
"resource": ""
} |
q7927 | OtpAuth.to_uri | train | def to_uri(self, type, label, issuer, counter=None):
"""Generate the otpauth protocal string.
:param type: Algorithm type, hotp or totp.
:param label: Label of the identifier.
:param issuer: The company, the organization or something else.
:param counter: Counter of the HOTP alg... | python | {
"resource": ""
} |
q7928 | OtpAuth.to_google | train | def to_google(self, type, label, issuer, counter=None):
"""Generate the otpauth protocal string for Google Authenticator.
.. deprecated:: 0.2.0
Use :func:`to_uri` instead.
"""
warnings.warn('deprecated, use to_uri instead', DeprecationWarning)
return self.to_uri(type,... | python | {
"resource": ""
} |
q7929 | ExchangeRates.install | train | def install(self, backend='money.exchange.SimpleBackend'):
"""Install an exchange rates backend using a python path string"""
# RADAR: Python2
if isinstance(backend, money.six.string_types):
path, name = backend.rsplit('.', 1)
module = importlib.import_module(path)
... | python | {
"resource": ""
} |
q7930 | ExchangeRates.rate | train | def rate(self, currency):
"""Return quotation between the base and another currency"""
if not self._backend:
raise ExchangeBackendNotInstalled()
return self._backend.rate(currency) | python | {
"resource": ""
} |
q7931 | _register_scatter | train | def _register_scatter():
"""
Patch `PathCollection` and `scatter` to register their return values.
This registration allows us to distinguish `PathCollection`s created by
`Axes.scatter`, which should use point-like picking, from others, which
should use path-like picking. The former is more common... | python | {
"resource": ""
} |
q7932 | _call_with_selection | train | def _call_with_selection(func):
"""Decorator that passes a `Selection` built from the non-kwonly args."""
wrapped_kwonly_params = [
param for param in inspect.signature(func).parameters.values()
if param.kind == param.KEYWORD_ONLY]
sel_sig = inspect.signature(Selection)
default_sel_sig =... | python | {
"resource": ""
} |
q7933 | _set_valid_props | train | def _set_valid_props(artist, kwargs):
"""Set valid properties for the artist, dropping the others."""
artist.set(**{k: kwargs[k] for k in kwargs if hasattr(artist, "set_" + k)})
return artist | python | {
"resource": ""
} |
q7934 | Money.to | train | def to(self, currency):
"""Return equivalent money object in another currency"""
if currency == self._currency:
return self
rate = xrates.quotation(self._currency, currency)
if rate is None:
raise ExchangeRateNotFound(xrates.backend_name,
... | python | {
"resource": ""
} |
q7935 | _get_rounded_intersection_area | train | def _get_rounded_intersection_area(bbox_1, bbox_2):
"""Compute the intersection area between two bboxes rounded to 8 digits."""
# The rounding allows sorting areas without floating point issues.
bbox = bbox_1.intersection(bbox_1, bbox_2)
return round(bbox.width * bbox.height, 8) if bbox else 0 | python | {
"resource": ""
} |
q7936 | cursor | train | def cursor(pickables=None, **kwargs):
"""
Create a `Cursor` for a list of artists, containers, and axes.
Parameters
----------
pickables : Optional[List[Union[Artist, Container, Axes, Figure]]]
All artists and containers in the list or on any of the axes or
figures passed in the li... | python | {
"resource": ""
} |
q7937 | Cursor.selections | train | def selections(self):
r"""The tuple of current `Selection`\s."""
for sel in self._selections:
if sel.annotation.axes is None:
raise RuntimeError("Annotation unexpectedly removed; "
"use 'cursor.remove_selection' instead")
return tupl... | python | {
"resource": ""
} |
q7938 | Cursor.add_selection | train | def add_selection(self, pi):
"""
Create an annotation for a `Selection` and register it.
Returns a new `Selection`, that has been registered by the `Cursor`,
with the added annotation set in the :attr:`annotation` field and, if
applicable, the highlighting artist in the :attr:`e... | python | {
"resource": ""
} |
q7939 | Cursor.add_highlight | train | def add_highlight(self, artist, *args, **kwargs):
"""
Create, add, and return a highlighting artist.
This method is should be called with an "unpacked" `Selection`,
possibly with some fields set to None.
It is up to the caller to register the artist with the proper
`Sel... | python | {
"resource": ""
} |
q7940 | Cursor.connect | train | def connect(self, event, func=None):
"""
Connect a callback to a `Cursor` event; return the callback.
Two events can be connected to:
- callbacks connected to the ``"add"`` event are called when a
`Selection` is added, with that selection as only argument;
- callbacks... | python | {
"resource": ""
} |
q7941 | Cursor.disconnect | train | def disconnect(self, event, cb):
"""
Disconnect a previously connected callback.
If a callback is connected multiple times, only one connection is
removed.
"""
try:
self._callbacks[event].remove(cb)
except KeyError:
raise ValueError("{!r} ... | python | {
"resource": ""
} |
q7942 | Cursor.remove | train | def remove(self):
"""
Remove a cursor.
Remove all `Selection`\\s, disconnect all callbacks, and allow the
cursor to be garbage collected.
"""
for disconnectors in self._disconnectors:
disconnectors()
for sel in self.selections:
self.remove... | python | {
"resource": ""
} |
q7943 | Cursor.remove_selection | train | def remove_selection(self, sel):
"""Remove a `Selection`."""
self._selections.remove(sel)
# <artist>.figure will be unset so we save them first.
figures = {artist.figure for artist in [sel.annotation] + sel.extras}
# ValueError is raised if the artist has already been removed.
... | python | {
"resource": ""
} |
q7944 | BaseHandler.request_access_token | train | def request_access_token(self, access_code):
"Request access token from GitHub"
token_response = request_session.post(
"https://github.com/login/oauth/access_token",
data={
"client_id": self.oauth_client_id,
"client_secret": self.oauth_client_secre... | python | {
"resource": ""
} |
q7945 | combine_dicts | train | def combine_dicts(recs):
"""Combine a list of recs, appending values to matching keys"""
if not recs:
return None
if len(recs) == 1:
return recs.pop()
new_rec = {}
for rec in recs:
for k, v in rec.iteritems():
if k in new_rec:
new_rec[k] = "%s, %... | python | {
"resource": ""
} |
q7946 | combine_recs | train | def combine_recs(rec_list, key):
"""Use a common key to combine a list of recs"""
final_recs = {}
for rec in rec_list:
rec_key = rec[key]
if rec_key in final_recs:
for k, v in rec.iteritems():
if k in final_recs[rec_key] and final_recs[rec_key][k] != v:
... | python | {
"resource": ""
} |
q7947 | HostFromTarball._load_from_file | train | def _load_from_file(self, filename):
"""Find filename in tar, and load it"""
if filename in self.fdata:
return self.fdata[filename]
else:
filepath = find_in_tarball(self.tarloc, filename)
return read_from_tarball(self.tarloc, filepath) | python | {
"resource": ""
} |
q7948 | parse_extlang | train | def parse_extlang(subtags):
"""
Parse an 'extended language' tag, which consists of 1 to 3 three-letter
language codes.
Extended languages are used for distinguishing dialects/sublanguages
(depending on your view) of macrolanguages such as Arabic, Bahasa Malay,
and Chinese.
It's supposed t... | python | {
"resource": ""
} |
q7949 | order_error | train | def order_error(subtag, got, expected):
"""
Output an error indicating that tags were out of order.
"""
options = SUBTAG_TYPES[expected:]
if len(options) == 1:
expect_str = options[0]
elif len(options) == 2:
expect_str = '%s or %s' % (options[0], options[1])
else:
exp... | python | {
"resource": ""
} |
q7950 | tag_match_score | train | def tag_match_score(desired: {str, Language}, supported: {str, Language}) -> int:
"""
Return a number from 0 to 100 indicating the strength of match between the
language the user desires, D, and a supported language, S. Higher numbers
are better. A reasonable cutoff for not messing with your users is to... | python | {
"resource": ""
} |
q7951 | best_match | train | def best_match(desired_language: {str, Language}, supported_languages: list,
min_score: int=75) -> (str, int):
"""
You have software that supports any of the `supported_languages`. You want
to use `desired_language`. This function lets you choose the right language,
even if there isn't an... | python | {
"resource": ""
} |
q7952 | Language.make | train | def make(cls, language=None, extlangs=None, script=None,
region=None, variants=None, extensions=None, private=None):
"""
Create a Language object by giving any subset of its attributes.
If this value has been created before, return the existing value.
"""
values = (... | python | {
"resource": ""
} |
q7953 | Language.get | train | def get(tag: {str, 'Language'}, normalize=True) -> 'Language':
"""
Create a Language object from a language tag string.
If normalize=True, non-standard or overlong tags will be replaced as
they're interpreted. This is recommended.
Here are several examples of language codes, wh... | python | {
"resource": ""
} |
q7954 | Language.simplify_script | train | def simplify_script(self) -> 'Language':
"""
Remove the script from some parsed language data, if the script is
redundant with the language.
>>> Language.make(language='en', script='Latn').simplify_script()
Language.make(language='en')
>>> Language.make(language='yi', s... | python | {
"resource": ""
} |
q7955 | Language.assume_script | train | def assume_script(self) -> 'Language':
"""
Fill in the script if it's missing, and if it can be assumed from the
language subtag. This is the opposite of `simplify_script`.
>>> Language.make(language='en').assume_script()
Language.make(language='en', script='Latn')
>>> ... | python | {
"resource": ""
} |
q7956 | Language.prefer_macrolanguage | train | def prefer_macrolanguage(self) -> 'Language':
"""
BCP 47 doesn't specify what to do with macrolanguages and the languages
they contain. The Unicode CLDR, on the other hand, says that when a
macrolanguage has a dominant standardized language, the macrolanguage
code should be used ... | python | {
"resource": ""
} |
q7957 | Language.broaden | train | def broaden(self) -> 'List[Language]':
"""
Iterate through increasingly general versions of this parsed language tag.
This isn't actually that useful for matching two arbitrary language tags
against each other, but it is useful for matching them against a known
standardized form... | python | {
"resource": ""
} |
q7958 | Language.maximize | train | def maximize(self) -> 'Language':
"""
The Unicode CLDR contains a "likelySubtags" data file, which can guess
reasonable values for fields that are missing from a language tag.
This is particularly useful for comparing, for example, "zh-Hant" and
"zh-TW", two common language tags... | python | {
"resource": ""
} |
q7959 | Language.script_name | train | def script_name(self, language=DEFAULT_LANGUAGE, min_score: int=75) -> str:
"""
Describe the script part of the language tag in a natural language.
"""
return self._get_name('script', language, min_score) | python | {
"resource": ""
} |
q7960 | Language.region_name | train | def region_name(self, language=DEFAULT_LANGUAGE, min_score: int=75) -> str:
"""
Describe the region part of the language tag in a natural language.
"""
return self._get_name('region', language, min_score) | python | {
"resource": ""
} |
q7961 | Language.variant_names | train | def variant_names(self, language=DEFAULT_LANGUAGE, min_score: int=75) -> list:
"""
Describe each of the variant parts of the language tag in a natural
language.
"""
names = []
for variant in self.variants:
var_names = code_to_names('variant', variant)
... | python | {
"resource": ""
} |
q7962 | Language.describe | train | def describe(self, language=DEFAULT_LANGUAGE, min_score: int=75) -> dict:
"""
Return a dictionary that describes a given language tag in a specified
natural language.
See `language_name` and related methods for more specific versions of this.
The desired `language` will in fact... | python | {
"resource": ""
} |
q7963 | Language.find_name | train | def find_name(tagtype: str, name: str, language: {str, 'Language', None}=None):
"""
Find the subtag of a particular `tagtype` that has the given `name`.
The default language, "und", will allow matching names in any language,
so you can get the code 'fr' by looking up "French", "Français... | python | {
"resource": ""
} |
q7964 | Language.to_dict | train | def to_dict(self):
"""
Get a dictionary of the attributes of this Language object, which
can be useful for constructing a similar object.
"""
if self._dict is not None:
return self._dict
result = {}
for key in self.ATTRIBUTES:
value = geta... | python | {
"resource": ""
} |
q7965 | Language.update | train | def update(self, other: 'Language') -> 'Language':
"""
Update this Language with the fields of another Language.
"""
return Language.make(
language=other.language or self.language,
extlangs=other.extlangs or self.extlangs,
script=other.script or self.s... | python | {
"resource": ""
} |
q7966 | Language.update_dict | train | def update_dict(self, newdata: dict) -> 'Language':
"""
Update the attributes of this Language from a dictionary.
"""
return Language.make(
language=newdata.get('language', self.language),
extlangs=newdata.get('extlangs', self.extlangs),
script=newdata... | python | {
"resource": ""
} |
q7967 | Language._filter_keys | train | def _filter_keys(d: dict, keys: set) -> dict:
"""
Select a subset of keys from a dictionary.
"""
return {key: d[key] for key in keys if key in d} | python | {
"resource": ""
} |
q7968 | Language._filter_attributes | train | def _filter_attributes(self, keyset):
"""
Return a copy of this object with a subset of its attributes set.
"""
filtered = self._filter_keys(self.to_dict(), keyset)
return Language.make(**filtered) | python | {
"resource": ""
} |
q7969 | Language._searchable_form | train | def _searchable_form(self) -> 'Language':
"""
Convert a parsed language tag so that the information it contains is in
the best form for looking up information in the CLDR.
"""
if self._searchable is not None:
return self._searchable
self._searchable = self._f... | python | {
"resource": ""
} |
q7970 | read_cldr_names | train | def read_cldr_names(path, language, category):
"""
Read CLDR's names for things in a particular language.
"""
filename = data_filename('{}/{}/{}.json'.format(path, language, category))
fulldata = json.load(open(filename, encoding='utf-8'))
data = fulldata['main'][language]['localeDisplayNames'][... | python | {
"resource": ""
} |
q7971 | parse_file | train | def parse_file(file):
"""
Take an open file containing the IANA subtag registry, and yield a
dictionary of information for each subtag it describes.
"""
lines = []
for line in file:
line = line.rstrip('\n')
if line == '%%':
# This is a separator between items. Parse t... | python | {
"resource": ""
} |
q7972 | load_trie | train | def load_trie(filename):
"""
Load a BytesTrie from the marisa_trie on-disk format.
"""
trie = marisa_trie.BytesTrie()
# marisa_trie raises warnings that make no sense. Ignore them.
with warnings.catch_warnings():
warnings.simplefilter("ignore")
trie.load(filename)
return trie | python | {
"resource": ""
} |
q7973 | name_to_code | train | def name_to_code(category, name, language: str='und'):
"""
Get a language, script, or region by its name in some language.
The language here must be a string representing a language subtag only.
The `Language.find` method can handle other representations of a language
and normalize them to this for... | python | {
"resource": ""
} |
q7974 | code_to_names | train | def code_to_names(category, code):
"""
Given the code for a language, script, or region, get a dictionary of its
names in various languages.
"""
trie_name = '{}_to_name'.format(category)
if trie_name not in TRIES:
TRIES[trie_name] = load_trie(data_filename('trie/{}.marisa'.format(trie_na... | python | {
"resource": ""
} |
q7975 | print_huffman_code_cwl | train | def print_huffman_code_cwl(code,p,v):
""" code - code dictionary with symbol -> code map, p, v is probability map """
cwl = 0.0
for k,_v in code.items():
print(u"%s -> %s"%(k,_v))
cwl += p[v.index(k)]*len(_v)
print(u"cwl = %g"%cwl)
return cwl,code.values() | python | {
"resource": ""
} |
q7976 | oridam_generate_patterns | train | def oridam_generate_patterns(word_in,cm,ed=1,level=0,pos=0,candidates=None):
""" ed = 1 by default, pos - internal variable for algorithm """
alternates = cm.get(word_in[pos],[])
if not candidates:
candidates = []
assert ed <= len(word_in), 'edit distance has to be comparable to word size [ins/d... | python | {
"resource": ""
} |
q7977 | uyirmei_constructed | train | def uyirmei_constructed( mei_idx, uyir_idx):
""" construct uyirmei letter give mei index and uyir index """
idx,idy = mei_idx,uyir_idx
assert ( idy >= 0 and idy < uyir_len() )
assert ( idx >= 0 and idx < 6+mei_len() )
return grantha_agaram_letters[mei_idx]+accent_symbols[uyir_idx] | python | {
"resource": ""
} |
q7978 | has_english | train | def has_english( word_in ):
""" return True if word_in has any English letters in the string"""
return not all_tamil(word_in) and len(word_in) > 0 and any([l in word_in for l in string.ascii_letters]) | python | {
"resource": ""
} |
q7979 | all_tamil | train | def all_tamil( word_in ):
""" predicate checks if all letters of the input word are Tamil letters """
if isinstance(word_in,list):
word = word_in
else:
word = get_letters( word_in )
return all( [(letter in tamil_letters) for letter in word] ) | python | {
"resource": ""
} |
q7980 | compare_words_lexicographic | train | def compare_words_lexicographic( word_a, word_b ):
""" compare words in Tamil lexicographic order """
# sanity check for words to be all Tamil
if ( not all_tamil(word_a) ) or (not all_tamil(word_b)) :
#print("## ")
#print(word_a)
#print(word_b)
#print("Both operands need to b... | python | {
"resource": ""
} |
q7981 | word_intersection | train | def word_intersection( word_a, word_b ):
""" return a list of tuples where word_a, word_b intersect """
positions = []
word_a_letters = get_letters( word_a )
word_b_letters = get_letters( word_b )
for idx,wa in enumerate(word_a_letters):
for idy,wb in enumerate(word_b_letters):
i... | python | {
"resource": ""
} |
q7982 | splitMeiUyir | train | def splitMeiUyir(uyirmei_char):
"""
This function split uyirmei compound character into mei + uyir characters
and returns in tuple.
Input : It must be unicode tamil char.
Written By : Arulalan.T
Date : 22.09.2014
"""
if not isinstance(uyirmei_char, PYTHON3 and str or unicode):
... | python | {
"resource": ""
} |
q7983 | joinMeiUyir | train | def joinMeiUyir(mei_char, uyir_char):
"""
This function join mei character and uyir character, and retuns as
compound uyirmei unicode character.
Inputs:
mei_char : It must be unicode tamil mei char.
uyir_char : It must be unicode tamil uyir char.
Written By : Arulalan.T
Date : ... | python | {
"resource": ""
} |
q7984 | make_pattern | train | def make_pattern( patt, flags=0 ):
"""
returns a compile regular expression object
"""
# print('input',len(patt))
patt_letters = utf8.get_letters( patt )
patt_out = list()
idx = 0
# print('output',len(patt_letters))
patt = [None,None]
prev = None
LEN_PATT = len(patt_lette... | python | {
"resource": ""
} |
q7985 | WordXSec.compute | train | def compute( self ):
# compute the intersection graph into @xsections dictionary
wordlist = self.wordlist
""" build a dictionary of words, and their intersections """
xsections = {}
for i in range(len(wordlist)):
word_i = wordlist[i]
for j in range(... | python | {
"resource": ""
} |
q7986 | BaseStemmer.set_current | train | def set_current(self, value):
'''
Set the self.current string.
'''
self.current = value
self.cursor = 0
self.limit = len(self.current)
self.limit_backward = 0
self.bra = self.cursor
self.ket = self.limit | python | {
"resource": ""
} |
q7987 | BaseStemmer.replace_s | train | def replace_s(self, c_bra, c_ket, s):
'''
to replace chars between c_bra and c_ket in self.current by the
chars in s.
@type c_bra int
@type c_ket int
@type s: string
'''
adjustment = len(s) - (c_ket - c_bra)
self.current = self.current[0:c_bra] + ... | python | {
"resource": ""
} |
q7988 | BaseStemmer.slice_to | train | def slice_to(self, s):
'''
Copy the slice into the supplied StringBuffer
@type s: string
'''
result = ''
if self.slice_check():
result = self.current[self.bra:self.ket]
return result | python | {
"resource": ""
} |
q7989 | TamilTweetParser.getTamilWords | train | def getTamilWords( tweet ):
"""" word needs to all be in the same tamil language """
tweet = TamilTweetParser.cleanupPunct( tweet );
nonETwords = filter( lambda x: len(x) > 0 , re.split(r'\s+',tweet) );#|"+|\'+|#+
tamilWords = filter( TamilTweetParser.isTamilPredicate, nonETwords );
... | python | {
"resource": ""
} |
q7990 | validate_split_runs_file | train | def validate_split_runs_file(split_runs_file):
"""Check if structure of file is as expected and return dictionary linking names to run_IDs."""
try:
content = [l.strip() for l in split_runs_file.readlines()]
if content[0].upper().split('\t') == ['NAME', 'RUN_ID']:
return {c.split('\t'... | python | {
"resource": ""
} |
q7991 | change_identifiers | train | def change_identifiers(datadf, split_dict):
"""Change the dataset identifiers based on the names in the dictionary."""
for rid, name in split_dict.items():
datadf.loc[datadf["runIDs"] == rid, "dataset"] = name | python | {
"resource": ""
} |
q7992 | MCP9808.begin | train | def begin(self):
"""Start taking temperature measurements. Returns True if the device is
intialized, False otherwise.
"""
# Check manufacturer and device ID match expected values.
mid = self._device.readU16BE(MCP9808_REG_MANUF_ID)
did = self._device.readU16BE(MCP9808_REG_DEVICE_ID)
self._logger.debug('Re... | python | {
"resource": ""
} |
q7993 | MCP9808.readTempC | train | def readTempC(self):
"""Read sensor and return its value in degrees celsius."""
# Read temperature register value.
t = self._device.readU16BE(MCP9808_REG_AMBIENT_TEMP)
self._logger.debug('Raw ambient temp register value: 0x{0:04X}'.format(t & 0xFFFF))
# Scale and convert to signed value.
temp = (t & 0x0FFF)... | python | {
"resource": ""
} |
q7994 | crud_url_name | train | def crud_url_name(model, action, prefix=None):
"""
Returns url name for given model and action.
"""
if prefix is None:
prefix = ""
app_label = model._meta.app_label
model_lower = model.__name__.lower()
return '%s%s_%s_%s' % (prefix, app_label, model_lower, action) | python | {
"resource": ""
} |
q7995 | crud_url | train | def crud_url(instance_or_model, action, prefix=None, additional_kwargs=None):
"""Shortcut function returns URL for instance or model and action.
Example::
crud_url(author, 'update')
Is same as:
reverse('testapp_author_update', kwargs={'pk': author.pk})
Example::
crud_url(Au... | python | {
"resource": ""
} |
q7996 | format_value | train | def format_value(obj, field_name):
"""
Simple value formatting.
If value is model instance returns link to detail view if exists.
"""
display_func = getattr(obj, 'get_%s_display' % field_name, None)
if display_func:
return display_func()
value = getattr(obj, field_name)
if isin... | python | {
"resource": ""
} |
q7997 | get_fields | train | def get_fields(model, fields=None):
"""
Assigns fields for model.
"""
include = [f.strip() for f in fields.split(',')] if fields else None
return utils.get_fields(
model,
include
) | python | {
"resource": ""
} |
q7998 | crud_urls | train | def crud_urls(model,
list_view=None,
create_view=None,
update_view=None,
detail_view=None,
delete_view=None,
url_prefix=None,
name_prefix=None,
list_views=None,
**kwargs):
"""Returns a list ... | python | {
"resource": ""
} |
q7999 | crud_for_model | train | def crud_for_model(model, urlprefix=None):
"""Returns list of ``url`` items to CRUD a model.
"""
model_lower = model.__name__.lower()
if urlprefix is None:
urlprefix = ''
urlprefix += model_lower + '/'
urls = crud_urls(
model,
list_view=CRUDListView.as_view(model=model)... | python | {
"resource": ""
} |
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