nwo stringlengths 5 106 | sha stringlengths 40 40 | path stringlengths 4 174 | language stringclasses 1
value | identifier stringlengths 1 140 | parameters stringlengths 0 87.7k | argument_list stringclasses 1
value | return_statement stringlengths 0 426k | docstring stringlengths 0 64.3k | docstring_summary stringlengths 0 26.3k | docstring_tokens list | function stringlengths 18 4.83M | function_tokens list | url stringlengths 83 304 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
hughw19/NOCS_CVPR2019 | 14dbce775c3c7c45bb7b19269bd53d68efb8f73f | utils.py | python | compute_coords_aps | (final_results, synset_names, iou_thresholds, coord_thresholds) | Compute Average Precision at a set IoU threshold (default 0.5).
Returns:
mAP: Mean Average Precision
precisions: List of precisions at different class score thresholds.
recalls: List of recall values at different class score thresholds.
overlaps: [pred_boxes, gt_boxes] IoU overlaps. | Compute Average Precision at a set IoU threshold (default 0.5).
Returns:
mAP: Mean Average Precision
precisions: List of precisions at different class score thresholds.
recalls: List of recall values at different class score thresholds.
overlaps: [pred_boxes, gt_boxes] IoU overlaps. | [
"Compute",
"Average",
"Precision",
"at",
"a",
"set",
"IoU",
"threshold",
"(",
"default",
"0",
".",
"5",
")",
".",
"Returns",
":",
"mAP",
":",
"Mean",
"Average",
"Precision",
"precisions",
":",
"List",
"of",
"precisions",
"at",
"different",
"class",
"score"... | def compute_coords_aps(final_results, synset_names, iou_thresholds, coord_thresholds):
"""Compute Average Precision at a set IoU threshold (default 0.5).
Returns:
mAP: Mean Average Precision
precisions: List of precisions at different class score thresholds.
recalls: List of recall values at differe... | [
"def",
"compute_coords_aps",
"(",
"final_results",
",",
"synset_names",
",",
"iou_thresholds",
",",
"coord_thresholds",
")",
":",
"num_classes",
"=",
"len",
"(",
"synset_names",
")",
"num_iou_thres",
"=",
"len",
"(",
"iou_thresholds",
")",
"num_coord_thres",
"=",
... | https://github.com/hughw19/NOCS_CVPR2019/blob/14dbce775c3c7c45bb7b19269bd53d68efb8f73f/utils.py#L2285-L2388 | ||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/_pyio.py | python | FileIO.seek | (self, pos, whence=SEEK_SET) | return os.lseek(self._fd, pos, whence) | Move to new file position.
Argument offset is a byte count. Optional argument whence defaults to
SEEK_SET or 0 (offset from start of file, offset should be >= 0); other values
are SEEK_CUR or 1 (move relative to current position, positive or negative),
and SEEK_END or 2 (move relative ... | Move to new file position. | [
"Move",
"to",
"new",
"file",
"position",
"."
] | def seek(self, pos, whence=SEEK_SET):
"""Move to new file position.
Argument offset is a byte count. Optional argument whence defaults to
SEEK_SET or 0 (offset from start of file, offset should be >= 0); other values
are SEEK_CUR or 1 (move relative to current position, positive or neg... | [
"def",
"seek",
"(",
"self",
",",
"pos",
",",
"whence",
"=",
"SEEK_SET",
")",
":",
"if",
"isinstance",
"(",
"pos",
",",
"float",
")",
":",
"raise",
"TypeError",
"(",
"'an integer is required'",
")",
"self",
".",
"_checkClosed",
"(",
")",
"return",
"os",
... | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/_pyio.py#L1649-L1663 | |
MaurizioFD/RecSys2019_DeepLearning_Evaluation | 0fb6b7f5c396f8525316ed66cf9c9fdb03a5fa9b | Base/BaseRecommender.py | python | BaseRecommender._compute_item_score | (self, user_id_array, items_to_compute = None) | :param user_id_array: array containing the user indices whose recommendations need to be computed
:param items_to_compute: array containing the items whose scores are to be computed.
If None, all items are computed, otherwise discarded items will have as score -n... | [] | def _compute_item_score(self, user_id_array, items_to_compute = None):
"""
:param user_id_array: array containing the user indices whose recommendations need to be computed
:param items_to_compute: array containing the items whose scores are to be computed.
... | [
"def",
"_compute_item_score",
"(",
"self",
",",
"user_id_array",
",",
"items_to_compute",
"=",
"None",
")",
":",
"raise",
"NotImplementedError",
"(",
"\"BaseRecommender: compute_item_score not assigned for current recommender, unable to compute prediction scores\"",
")"
] | https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation/blob/0fb6b7f5c396f8525316ed66cf9c9fdb03a5fa9b/Base/BaseRecommender.py#L120-L128 | |||
broadinstitute/viral-ngs | e144969e4c57060d53f38a4c3a270e8227feace1 | util/misc.py | python | load_yaml_or_json | (fname) | Load a dictionary from either a yaml or a json file | Load a dictionary from either a yaml or a json file | [
"Load",
"a",
"dictionary",
"from",
"either",
"a",
"yaml",
"or",
"a",
"json",
"file"
] | def load_yaml_or_json(fname):
'''Load a dictionary from either a yaml or a json file'''
with open(fname) as f:
if fname.upper().endswith('.YAML'): return yaml.safe_load(f) or {}
if fname.upper().endswith('.JSON'): return json.load(f) or {}
raise TypeError('Unsupported dict file format: '... | [
"def",
"load_yaml_or_json",
"(",
"fname",
")",
":",
"with",
"open",
"(",
"fname",
")",
"as",
"f",
":",
"if",
"fname",
".",
"upper",
"(",
")",
".",
"endswith",
"(",
"'.YAML'",
")",
":",
"return",
"yaml",
".",
"safe_load",
"(",
"f",
")",
"or",
"{",
... | https://github.com/broadinstitute/viral-ngs/blob/e144969e4c57060d53f38a4c3a270e8227feace1/util/misc.py#L493-L498 | ||
buke/GreenOdoo | 3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df | runtime/python/lib/python2.7/site-packages/gevent/greenlet.py | python | Greenlet.start | (self) | Schedule the greenlet to run in this loop iteration | Schedule the greenlet to run in this loop iteration | [
"Schedule",
"the",
"greenlet",
"to",
"run",
"in",
"this",
"loop",
"iteration"
] | def start(self):
"""Schedule the greenlet to run in this loop iteration"""
if self._start_event is None:
self._start_event = self.parent.loop.run_callback(self.switch) | [
"def",
"start",
"(",
"self",
")",
":",
"if",
"self",
".",
"_start_event",
"is",
"None",
":",
"self",
".",
"_start_event",
"=",
"self",
".",
"parent",
".",
"loop",
".",
"run_callback",
"(",
"self",
".",
"switch",
")"
] | https://github.com/buke/GreenOdoo/blob/3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df/runtime/python/lib/python2.7/site-packages/gevent/greenlet.py#L184-L187 | ||
leancloud/satori | 701caccbd4fe45765001ca60435c0cb499477c03 | satori-rules/plugin/libs/gevent/greenlet.py | python | Greenlet.__start_cancelled_by_kill | (self) | return self._start_event is _cancelled_start_event | [] | def __start_cancelled_by_kill(self):
return self._start_event is _cancelled_start_event | [
"def",
"__start_cancelled_by_kill",
"(",
"self",
")",
":",
"return",
"self",
".",
"_start_event",
"is",
"_cancelled_start_event"
] | https://github.com/leancloud/satori/blob/701caccbd4fe45765001ca60435c0cb499477c03/satori-rules/plugin/libs/gevent/greenlet.py#L209-L210 | |||
cbrgm/telegram-robot-rss | 58fe98de427121fdc152c8df0721f1891174e6c9 | util/database.py | python | DatabaseHandler.add_user | (self, telegram_id, username, firstname, lastname, language_code, is_bot, is_active) | Adds a user to sqlite database
Args:
param1 (int): The telegram_id of a user.
param2 (str): The username of a user.
param3 (str): The firstname of a user.
param4 (str): The lastname of a user.
param5 (str): The language_code of a user.
par... | Adds a user to sqlite database | [
"Adds",
"a",
"user",
"to",
"sqlite",
"database"
] | def add_user(self, telegram_id, username, firstname, lastname, language_code, is_bot, is_active):
"""Adds a user to sqlite database
Args:
param1 (int): The telegram_id of a user.
param2 (str): The username of a user.
param3 (str): The firstname of a user.
... | [
"def",
"add_user",
"(",
"self",
",",
"telegram_id",
",",
"username",
",",
"firstname",
",",
"lastname",
",",
"language_code",
",",
"is_bot",
",",
"is_active",
")",
":",
"conn",
"=",
"sqlite3",
".",
"connect",
"(",
"self",
".",
"database_path",
")",
"cursor... | https://github.com/cbrgm/telegram-robot-rss/blob/58fe98de427121fdc152c8df0721f1891174e6c9/util/database.py#L22-L41 | ||
oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Lib/idlelib/PyShell.py | python | PyShell.open_stack_viewer | (self, event=None) | [] | def open_stack_viewer(self, event=None):
if self.interp.rpcclt:
return self.interp.remote_stack_viewer()
try:
sys.last_traceback
except:
tkMessageBox.showerror("No stack trace",
"There is no stack trace yet.\n"
"(sys.last_traceb... | [
"def",
"open_stack_viewer",
"(",
"self",
",",
"event",
"=",
"None",
")",
":",
"if",
"self",
".",
"interp",
".",
"rpcclt",
":",
"return",
"self",
".",
"interp",
".",
"remote_stack_viewer",
"(",
")",
"try",
":",
"sys",
".",
"last_traceback",
"except",
":",... | https://github.com/oilshell/oil/blob/94388e7d44a9ad879b12615f6203b38596b5a2d3/Python-2.7.13/Lib/idlelib/PyShell.py#L1250-L1262 | ||||
tijme/angularjs-csti-scanner | dcf5bf3d36a0a6ee3a9db1340e68de95b33e4615 | acstis/actions/TraverseUrlAction.py | python | TraverseUrlAction.get_action_items_derived | (self) | return items | Get new queue items based on this action.
Returns:
list(:class:`nyawc.QueueItem`): A list of possibly vulnerable queue items. | Get new queue items based on this action. | [
"Get",
"new",
"queue",
"items",
"based",
"on",
"this",
"action",
"."
] | def get_action_items_derived(self):
"""Get new queue items based on this action.
Returns:
list(:class:`nyawc.QueueItem`): A list of possibly vulnerable queue items.
"""
items = []
path = self.get_parsed_url().path
filename = self.get_filename()
if... | [
"def",
"get_action_items_derived",
"(",
"self",
")",
":",
"items",
"=",
"[",
"]",
"path",
"=",
"self",
".",
"get_parsed_url",
"(",
")",
".",
"path",
"filename",
"=",
"self",
".",
"get_filename",
"(",
")",
"if",
"filename",
":",
"path",
"[",
"0",
":",
... | https://github.com/tijme/angularjs-csti-scanner/blob/dcf5bf3d36a0a6ee3a9db1340e68de95b33e4615/acstis/actions/TraverseUrlAction.py#L47-L86 | |
nwcell/psycopg2-windows | 5698844286001962f3eeeab58164301898ef48e9 | psycopg2/_range.py | python | RangeCaster._from_db | (self, name, pyrange, conn_or_curs) | return RangeCaster(name, pyrange,
oid=type, subtype_oid=subtype, array_oid=array) | Return a `RangeCaster` instance for the type *pgrange*.
Raise `ProgrammingError` if the type is not found. | Return a `RangeCaster` instance for the type *pgrange*. | [
"Return",
"a",
"RangeCaster",
"instance",
"for",
"the",
"type",
"*",
"pgrange",
"*",
"."
] | def _from_db(self, name, pyrange, conn_or_curs):
"""Return a `RangeCaster` instance for the type *pgrange*.
Raise `ProgrammingError` if the type is not found.
"""
from psycopg2.extensions import STATUS_IN_TRANSACTION
from psycopg2.extras import _solve_conn_curs
conn, cur... | [
"def",
"_from_db",
"(",
"self",
",",
"name",
",",
"pyrange",
",",
"conn_or_curs",
")",
":",
"from",
"psycopg2",
".",
"extensions",
"import",
"STATUS_IN_TRANSACTION",
"from",
"psycopg2",
".",
"extras",
"import",
"_solve_conn_curs",
"conn",
",",
"curs",
"=",
"_s... | https://github.com/nwcell/psycopg2-windows/blob/5698844286001962f3eeeab58164301898ef48e9/psycopg2/_range.py#L310-L363 | |
Source-Python-Dev-Team/Source.Python | d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb | addons/source-python/Python3/calendar.py | python | Calendar.yeardayscalendar | (self, year, width=3) | return [months[i:i+width] for i in range(0, len(months), width) ] | Return the data for the specified year ready for formatting (similar to
yeardatescalendar()). Entries in the week lists are day numbers.
Day numbers outside this month are zero. | Return the data for the specified year ready for formatting (similar to
yeardatescalendar()). Entries in the week lists are day numbers.
Day numbers outside this month are zero. | [
"Return",
"the",
"data",
"for",
"the",
"specified",
"year",
"ready",
"for",
"formatting",
"(",
"similar",
"to",
"yeardatescalendar",
"()",
")",
".",
"Entries",
"in",
"the",
"week",
"lists",
"are",
"day",
"numbers",
".",
"Day",
"numbers",
"outside",
"this",
... | def yeardayscalendar(self, year, width=3):
"""
Return the data for the specified year ready for formatting (similar to
yeardatescalendar()). Entries in the week lists are day numbers.
Day numbers outside this month are zero.
"""
months = [
self.monthdayscalend... | [
"def",
"yeardayscalendar",
"(",
"self",
",",
"year",
",",
"width",
"=",
"3",
")",
":",
"months",
"=",
"[",
"self",
".",
"monthdayscalendar",
"(",
"year",
",",
"i",
")",
"for",
"i",
"in",
"range",
"(",
"January",
",",
"January",
"+",
"12",
")",
"]",... | https://github.com/Source-Python-Dev-Team/Source.Python/blob/d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb/addons/source-python/Python3/calendar.py#L247-L257 | |
Floobits/flootty | 731fb4516da3ad34c724440787e57c97229838e8 | flootty/floo/common/lib/diff_match_patch.py | python | diff_match_patch.diff_halfMatch | (self, text1, text2) | return (text1_a, text1_b, text2_a, text2_b, mid_common) | Do the two texts share a substring which is at least half the length of
the longer text?
This speedup can produce non-minimal diffs.
Args:
text1: First string.
text2: Second string.
Returns:
Five element Array, containing the prefix of text1, the suf... | Do the two texts share a substring which is at least half the length of
the longer text?
This speedup can produce non-minimal diffs. | [
"Do",
"the",
"two",
"texts",
"share",
"a",
"substring",
"which",
"is",
"at",
"least",
"half",
"the",
"length",
"of",
"the",
"longer",
"text?",
"This",
"speedup",
"can",
"produce",
"non",
"-",
"minimal",
"diffs",
"."
] | def diff_halfMatch(self, text1, text2):
"""Do the two texts share a substring which is at least half the length of
the longer text?
This speedup can produce non-minimal diffs.
Args:
text1: First string.
text2: Second string.
Returns:
Five ele... | [
"def",
"diff_halfMatch",
"(",
"self",
",",
"text1",
",",
"text2",
")",
":",
"if",
"self",
".",
"Diff_Timeout",
"<=",
"0",
":",
"# Don't risk returning a non-optimal diff if we have unlimited time.",
"return",
"None",
"if",
"len",
"(",
"text1",
")",
">",
"len",
"... | https://github.com/Floobits/flootty/blob/731fb4516da3ad34c724440787e57c97229838e8/flootty/floo/common/lib/diff_match_patch.py#L565-L646 | |
gramps-project/gramps | 04d4651a43eb210192f40a9f8c2bad8ee8fa3753 | gramps/plugins/textreport/detancestralreport.py | python | DetAncestorReport.write_marriage | (self, person) | Output marriage sentence. | Output marriage sentence. | [
"Output",
"marriage",
"sentence",
"."
] | def write_marriage(self, person):
"""
Output marriage sentence.
"""
is_first = True
for family_handle in person.get_family_handle_list():
family = self._db.get_family_from_handle(family_handle)
spouse_handle = utils.find_spouse(person, family)
... | [
"def",
"write_marriage",
"(",
"self",
",",
"person",
")",
":",
"is_first",
"=",
"True",
"for",
"family_handle",
"in",
"person",
".",
"get_family_handle_list",
"(",
")",
":",
"family",
"=",
"self",
".",
"_db",
".",
"get_family_from_handle",
"(",
"family_handle"... | https://github.com/gramps-project/gramps/blob/04d4651a43eb210192f40a9f8c2bad8ee8fa3753/gramps/plugins/textreport/detancestralreport.py#L551-L572 | ||
snakemake/snakemake | 987282dde8a2db5174414988c134a39ae8836a61 | snakemake/benchmark.py | python | BenchmarkTimer._update_record | (self) | Perform the actual measurement | Perform the actual measurement | [
"Perform",
"the",
"actual",
"measurement"
] | def _update_record(self):
"""Perform the actual measurement"""
import psutil
# Memory measurements
rss, vms, uss, pss = 0, 0, 0, 0
# I/O measurements
io_in, io_out = 0, 0
check_io = True
# CPU seconds
cpu_usages = 0
# CPU usage time
... | [
"def",
"_update_record",
"(",
"self",
")",
":",
"import",
"psutil",
"# Memory measurements",
"rss",
",",
"vms",
",",
"uss",
",",
"pss",
"=",
"0",
",",
"0",
",",
"0",
",",
"0",
"# I/O measurements",
"io_in",
",",
"io_out",
"=",
"0",
",",
"0",
"check_io"... | https://github.com/snakemake/snakemake/blob/987282dde8a2db5174414988c134a39ae8836a61/snakemake/benchmark.py#L215-L287 | ||
frappe/frappe | b64cab6867dfd860f10ccaf41a4ec04bc890b583 | frappe/sessions.py | python | Session.start | (self) | start a new session | start a new session | [
"start",
"a",
"new",
"session"
] | def start(self):
"""start a new session"""
# generate sid
if self.user=='Guest':
sid = 'Guest'
else:
sid = frappe.generate_hash()
self.data.user = self.user
self.data.sid = sid
self.data.data.user = self.user
self.data.data.session_ip = frappe.local.request_ip
if self.user != "Guest":
self.d... | [
"def",
"start",
"(",
"self",
")",
":",
"# generate sid",
"if",
"self",
".",
"user",
"==",
"'Guest'",
":",
"sid",
"=",
"'Guest'",
"else",
":",
"sid",
"=",
"frappe",
".",
"generate_hash",
"(",
")",
"self",
".",
"data",
".",
"user",
"=",
"self",
".",
... | https://github.com/frappe/frappe/blob/b64cab6867dfd860f10ccaf41a4ec04bc890b583/frappe/sessions.py#L214-L254 | ||
replit-archive/empythoned | 977ec10ced29a3541a4973dc2b59910805695752 | dist/lib/python2.7/SimpleXMLRPCServer.py | python | SimpleXMLRPCDispatcher.register_instance | (self, instance, allow_dotted_names=False) | Registers an instance to respond to XML-RPC requests.
Only one instance can be installed at a time.
If the registered instance has a _dispatch method then that
method will be called with the name of the XML-RPC method and
its parameters as a tuple
e.g. instance._dispatch('add',... | Registers an instance to respond to XML-RPC requests. | [
"Registers",
"an",
"instance",
"to",
"respond",
"to",
"XML",
"-",
"RPC",
"requests",
"."
] | def register_instance(self, instance, allow_dotted_names=False):
"""Registers an instance to respond to XML-RPC requests.
Only one instance can be installed at a time.
If the registered instance has a _dispatch method then that
method will be called with the name of the XML-RPC method ... | [
"def",
"register_instance",
"(",
"self",
",",
"instance",
",",
"allow_dotted_names",
"=",
"False",
")",
":",
"self",
".",
"instance",
"=",
"instance",
"self",
".",
"allow_dotted_names",
"=",
"allow_dotted_names"
] | https://github.com/replit-archive/empythoned/blob/977ec10ced29a3541a4973dc2b59910805695752/dist/lib/python2.7/SimpleXMLRPCServer.py#L175-L209 | ||
openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.9.40/roles/lib_utils/library/oo_iam_kms.py | python | AwsIamKms.get_all_kms_info | (self) | return aliases | fetch all kms info and return them
list_keys doesn't have information regarding aliases
list_aliases doesn't have the full kms arn
fetch both and join them on the targetKeyId | fetch all kms info and return them | [
"fetch",
"all",
"kms",
"info",
"and",
"return",
"them"
] | def get_all_kms_info(self):
'''fetch all kms info and return them
list_keys doesn't have information regarding aliases
list_aliases doesn't have the full kms arn
fetch both and join them on the targetKeyId
'''
aliases = self.kms_client.list_aliases()['Aliases']
... | [
"def",
"get_all_kms_info",
"(",
"self",
")",
":",
"aliases",
"=",
"self",
".",
"kms_client",
".",
"list_aliases",
"(",
")",
"[",
"'Aliases'",
"]",
"keys",
"=",
"self",
".",
"kms_client",
".",
"list_keys",
"(",
")",
"[",
"'Keys'",
"]",
"for",
"alias",
"... | https://github.com/openshift/openshift-tools/blob/1188778e728a6e4781acf728123e5b356380fe6f/openshift/installer/vendored/openshift-ansible-3.9.40/roles/lib_utils/library/oo_iam_kms.py#L55-L72 | |
LexPredict/openedgar | 1d1b8bc8faa3c59e05d9883e53039b6328b7d831 | lexpredict_openedgar/openedgar/tasks.py | python | create_filing_error | (row, filing_path: str) | return True | Create a Filing error record from an index row.
:param row:
:param filing_path:
:return: | Create a Filing error record from an index row.
:param row:
:param filing_path:
:return: | [
"Create",
"a",
"Filing",
"error",
"record",
"from",
"an",
"index",
"row",
".",
":",
"param",
"row",
":",
":",
"param",
"filing_path",
":",
":",
"return",
":"
] | def create_filing_error(row, filing_path: str):
"""
Create a Filing error record from an index row.
:param row:
:param filing_path:
:return:
"""
# Get vars
cik = row["CIK"]
company_name = row["Company Name"]
form_type = row["Form Type"]
try:
date_filed = dateutil.par... | [
"def",
"create_filing_error",
"(",
"row",
",",
"filing_path",
":",
"str",
")",
":",
"# Get vars",
"cik",
"=",
"row",
"[",
"\"CIK\"",
"]",
"company_name",
"=",
"row",
"[",
"\"Company Name\"",
"]",
"form_type",
"=",
"row",
"[",
"\"Form Type\"",
"]",
"try",
"... | https://github.com/LexPredict/openedgar/blob/1d1b8bc8faa3c59e05d9883e53039b6328b7d831/lexpredict_openedgar/openedgar/tasks.py#L119-L185 | |
adamcaudill/EquationGroupLeak | 52fa871c89008566c27159bd48f2a8641260c984 | Firewall/EXPLOITS/EPBA/EPICBANANA/pexpect.py | python | spawn.sendintr | (self) | This sends a SIGINT to the child. It does not require
the SIGINT to be the first character on a line. | This sends a SIGINT to the child. It does not require
the SIGINT to be the first character on a line. | [
"This",
"sends",
"a",
"SIGINT",
"to",
"the",
"child",
".",
"It",
"does",
"not",
"require",
"the",
"SIGINT",
"to",
"be",
"the",
"first",
"character",
"on",
"a",
"line",
"."
] | def sendintr(self):
"""This sends a SIGINT to the child. It does not require
the SIGINT to be the first character on a line. """
if hasattr(termios, 'VINTR'):
char = termios.tcgetattr(self.child_fd)[6][termios.VINTR]
else:
# platform does not define VINTR so ass... | [
"def",
"sendintr",
"(",
"self",
")",
":",
"if",
"hasattr",
"(",
"termios",
",",
"'VINTR'",
")",
":",
"char",
"=",
"termios",
".",
"tcgetattr",
"(",
"self",
".",
"child_fd",
")",
"[",
"6",
"]",
"[",
"termios",
".",
"VINTR",
"]",
"else",
":",
"# plat... | https://github.com/adamcaudill/EquationGroupLeak/blob/52fa871c89008566c27159bd48f2a8641260c984/Firewall/EXPLOITS/EPBA/EPICBANANA/pexpect.py#L1025-L1035 | ||
ynhacler/RedKindle | 7c970920dc840f869e38cbda480d630cc2e7b200 | web/template.py | python | TemplateResult._prepare_body | (self) | Prepare value of __body__ by joining parts. | Prepare value of __body__ by joining parts. | [
"Prepare",
"value",
"of",
"__body__",
"by",
"joining",
"parts",
"."
] | def _prepare_body(self):
"""Prepare value of __body__ by joining parts.
"""
if self._parts:
value = u"".join(self._parts)
self._parts[:] = []
body = self._d.get('__body__')
if body:
self._d['__body__'] = body + value
els... | [
"def",
"_prepare_body",
"(",
"self",
")",
":",
"if",
"self",
".",
"_parts",
":",
"value",
"=",
"u\"\"",
".",
"join",
"(",
"self",
".",
"_parts",
")",
"self",
".",
"_parts",
"[",
":",
"]",
"=",
"[",
"]",
"body",
"=",
"self",
".",
"_d",
".",
"get... | https://github.com/ynhacler/RedKindle/blob/7c970920dc840f869e38cbda480d630cc2e7b200/web/template.py#L1250-L1260 | ||
tf-encrypted/tf-encrypted | 8b7cfb32c426e9a6f56769a1b47626bd1be03a66 | tf_encrypted/protocol/pond/pond.py | python | PondTensor.add | (self, other) | return self.prot.add(self, other) | Add `other` to this PondTensor. This can be another tensor with the same
backing or a primitive.
This function returns a new PondTensor and does not modify this one.
:param PondTensor other: a or primitive (e.g. a float)
:return: A new PondTensor with `other` added.
:rtype: PondTensor | Add `other` to this PondTensor. This can be another tensor with the same
backing or a primitive. | [
"Add",
"other",
"to",
"this",
"PondTensor",
".",
"This",
"can",
"be",
"another",
"tensor",
"with",
"the",
"same",
"backing",
"or",
"a",
"primitive",
"."
] | def add(self, other):
"""
Add `other` to this PondTensor. This can be another tensor with the same
backing or a primitive.
This function returns a new PondTensor and does not modify this one.
:param PondTensor other: a or primitive (e.g. a float)
:return: A new PondTensor with `other` add... | [
"def",
"add",
"(",
"self",
",",
"other",
")",
":",
"return",
"self",
".",
"prot",
".",
"add",
"(",
"self",
",",
"other",
")"
] | https://github.com/tf-encrypted/tf-encrypted/blob/8b7cfb32c426e9a6f56769a1b47626bd1be03a66/tf_encrypted/protocol/pond/pond.py#L1658-L1669 | |
niftools/blender_niftools_addon | fc28f567e1fa431ec6633cb2a138898136090b29 | io_scene_niftools/modules/nif_export/animation/transform.py | python | TransformAnimation.export_transforms | (self, parent_block, b_obj, b_action, bone=None) | If bone == None, object level animation is exported.
If a bone is given, skeletal animation is exported. | If bone == None, object level animation is exported.
If a bone is given, skeletal animation is exported. | [
"If",
"bone",
"==",
"None",
"object",
"level",
"animation",
"is",
"exported",
".",
"If",
"a",
"bone",
"is",
"given",
"skeletal",
"animation",
"is",
"exported",
"."
] | def export_transforms(self, parent_block, b_obj, b_action, bone=None):
"""
If bone == None, object level animation is exported.
If a bone is given, skeletal animation is exported.
"""
# b_action may be None, then nothing is done.
if not b_action:
return
... | [
"def",
"export_transforms",
"(",
"self",
",",
"parent_block",
",",
"b_obj",
",",
"b_action",
",",
"bone",
"=",
"None",
")",
":",
"# b_action may be None, then nothing is done.",
"if",
"not",
"b_action",
":",
"return",
"# blender object must exist",
"assert",
"b_obj",
... | https://github.com/niftools/blender_niftools_addon/blob/fc28f567e1fa431ec6633cb2a138898136090b29/io_scene_niftools/modules/nif_export/animation/transform.py#L122-L275 | ||
statsmodels/statsmodels | debbe7ea6ba28fe5bdb78f09f8cac694bef98722 | statsmodels/tsa/statespace/mlemodel.py | python | MLEModel.clone | (self, endog, exog=None, **kwargs) | Clone state space model with new data and optionally new specification
Parameters
----------
endog : array_like
The observed time-series process :math:`y`
k_states : int
The dimension of the unobserved state process.
exog : array_like, optional
... | Clone state space model with new data and optionally new specification | [
"Clone",
"state",
"space",
"model",
"with",
"new",
"data",
"and",
"optionally",
"new",
"specification"
] | def clone(self, endog, exog=None, **kwargs):
"""
Clone state space model with new data and optionally new specification
Parameters
----------
endog : array_like
The observed time-series process :math:`y`
k_states : int
The dimension of the unobser... | [
"def",
"clone",
"(",
"self",
",",
"endog",
",",
"exog",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"raise",
"NotImplementedError",
"(",
"'This method is not implemented in the base'",
"' class and must be set up by each specific'",
"' model.'",
")"
] | https://github.com/statsmodels/statsmodels/blob/debbe7ea6ba28fe5bdb78f09f8cac694bef98722/statsmodels/tsa/statespace/mlemodel.py#L254-L281 | ||
awslabs/aws-config-rules | 8dfeacf9d9e5e5f0fbb1b8545ff702dea700ea7a | python/EMR_KERBEROS_ENABLED/EMR_KERBEROS_ENABLED.py | python | get_client | (service, event) | return boto3.client(service, aws_access_key_id=credentials['AccessKeyId'],
aws_secret_access_key=credentials['SecretAccessKey'],
aws_session_token=credentials['SessionToken']
) | Return the service boto client. It should be used instead of directly calling the client.
Keyword arguments:
service -- the service name used for calling the boto.client()
event -- the event variable given in the lambda handler | Return the service boto client. It should be used instead of directly calling the client. | [
"Return",
"the",
"service",
"boto",
"client",
".",
"It",
"should",
"be",
"used",
"instead",
"of",
"directly",
"calling",
"the",
"client",
"."
] | def get_client(service, event):
"""Return the service boto client. It should be used instead of directly calling the client.
Keyword arguments:
service -- the service name used for calling the boto.client()
event -- the event variable given in the lambda handler
"""
if not ASSUME_ROLE_MODE:
... | [
"def",
"get_client",
"(",
"service",
",",
"event",
")",
":",
"if",
"not",
"ASSUME_ROLE_MODE",
":",
"return",
"boto3",
".",
"client",
"(",
"service",
")",
"credentials",
"=",
"get_assume_role_credentials",
"(",
"event",
"[",
"\"executionRoleArn\"",
"]",
")",
"r... | https://github.com/awslabs/aws-config-rules/blob/8dfeacf9d9e5e5f0fbb1b8545ff702dea700ea7a/python/EMR_KERBEROS_ENABLED/EMR_KERBEROS_ENABLED.py#L269-L282 | |
pycrypto/pycrypto | 7acba5f3a6ff10f1424c309d0d34d2b713233019 | lib/Crypto/Hash/HMAC.py | python | HMAC.digest | (self) | return h.digest() | Return the **binary** (non-printable) MAC of the message that has
been authenticated so far.
This method does not change the state of the MAC object.
You can continue updating the object after calling this function.
:Return: A byte string of `digest_size` bytes. It may contain ... | Return the **binary** (non-printable) MAC of the message that has
been authenticated so far. | [
"Return",
"the",
"**",
"binary",
"**",
"(",
"non",
"-",
"printable",
")",
"MAC",
"of",
"the",
"message",
"that",
"has",
"been",
"authenticated",
"so",
"far",
"."
] | def digest(self):
"""Return the **binary** (non-printable) MAC of the message that has
been authenticated so far.
This method does not change the state of the MAC object.
You can continue updating the object after calling this function.
:Return: A byte string of `digest... | [
"def",
"digest",
"(",
"self",
")",
":",
"h",
"=",
"self",
".",
"outer",
".",
"copy",
"(",
")",
"h",
".",
"update",
"(",
"self",
".",
"inner",
".",
"digest",
"(",
")",
")",
"return",
"h",
".",
"digest",
"(",
")"
] | https://github.com/pycrypto/pycrypto/blob/7acba5f3a6ff10f1424c309d0d34d2b713233019/lib/Crypto/Hash/HMAC.py#L184-L197 | |
wucng/TensorExpand | 4ea58f64f5c5082b278229b799c9f679536510b7 | TensorExpand/Object detection/faster rcnn/CharlesShang-TFFRCNN-master/lib/datasets/pascal_voc2.py | python | pascal_voc._load_rpn_roidb | (self, gt_roidb, model) | return self.create_roidb_from_box_list(box_list, gt_roidb) | [] | def _load_rpn_roidb(self, gt_roidb, model):
# set the prefix
if self._image_set == 'test':
prefix = model + '/testing'
else:
prefix = model + '/training'
box_list = []
for index in self.image_index:
filename = os.path.join(self._pascal_path, '... | [
"def",
"_load_rpn_roidb",
"(",
"self",
",",
"gt_roidb",
",",
"model",
")",
":",
"# set the prefix",
"if",
"self",
".",
"_image_set",
"==",
"'test'",
":",
"prefix",
"=",
"model",
"+",
"'/testing'",
"else",
":",
"prefix",
"=",
"model",
"+",
"'/training'",
"b... | https://github.com/wucng/TensorExpand/blob/4ea58f64f5c5082b278229b799c9f679536510b7/TensorExpand/Object detection/faster rcnn/CharlesShang-TFFRCNN-master/lib/datasets/pascal_voc2.py#L478-L507 | |||
skyfielders/python-skyfield | 0e68757a5c1081f784c58fd7a76635c6deb98451 | skyfield/timelib.py | python | Time.gmst | (self) | return sidereal_time(self) | Greenwich Mean Sidereal Time (GMST) in hours. | Greenwich Mean Sidereal Time (GMST) in hours. | [
"Greenwich",
"Mean",
"Sidereal",
"Time",
"(",
"GMST",
")",
"in",
"hours",
"."
] | def gmst(self):
"""Greenwich Mean Sidereal Time (GMST) in hours."""
return sidereal_time(self) | [
"def",
"gmst",
"(",
"self",
")",
":",
"return",
"sidereal_time",
"(",
"self",
")"
] | https://github.com/skyfielders/python-skyfield/blob/0e68757a5c1081f784c58fd7a76635c6deb98451/skyfield/timelib.py#L824-L826 | |
4shadoww/hakkuframework | 409a11fc3819d251f86faa3473439f8c19066a21 | lib/dns/rrset.py | python | RRset.match | (self, *args, **kwargs) | Does this rrset match the specified attributes?
Behaves as :py:func:`full_match()` if the first argument is a
``dns.name.Name``, and as :py:func:`dns.rdataset.Rdataset.match()`
otherwise.
(This behavior fixes a design mistake where the signature of this
method became incompatib... | Does this rrset match the specified attributes? | [
"Does",
"this",
"rrset",
"match",
"the",
"specified",
"attributes?"
] | def match(self, *args, **kwargs):
"""Does this rrset match the specified attributes?
Behaves as :py:func:`full_match()` if the first argument is a
``dns.name.Name``, and as :py:func:`dns.rdataset.Rdataset.match()`
otherwise.
(This behavior fixes a design mistake where the signa... | [
"def",
"match",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"isinstance",
"(",
"args",
"[",
"0",
"]",
",",
"dns",
".",
"name",
".",
"Name",
")",
":",
"return",
"self",
".",
"full_match",
"(",
"*",
"args",
",",
"*",
... | https://github.com/4shadoww/hakkuframework/blob/409a11fc3819d251f86faa3473439f8c19066a21/lib/dns/rrset.py#L79-L94 | ||
yuxiaokui/Intranet-Penetration | f57678a204840c83cbf3308e3470ae56c5ff514b | proxy/XX-Net/code/default/python27/1.0/lib/email/message.py | python | Message.get_charset | (self) | return self._charset | Return the Charset instance associated with the message's payload. | Return the Charset instance associated with the message's payload. | [
"Return",
"the",
"Charset",
"instance",
"associated",
"with",
"the",
"message",
"s",
"payload",
"."
] | def get_charset(self):
"""Return the Charset instance associated with the message's payload.
"""
return self._charset | [
"def",
"get_charset",
"(",
"self",
")",
":",
"return",
"self",
".",
"_charset"
] | https://github.com/yuxiaokui/Intranet-Penetration/blob/f57678a204840c83cbf3308e3470ae56c5ff514b/proxy/XX-Net/code/default/python27/1.0/lib/email/message.py#L273-L276 | |
Chaffelson/nipyapi | d3b186fd701ce308c2812746d98af9120955e810 | nipyapi/nifi/models/processor_diagnostics_entity.py | python | ProcessorDiagnosticsEntity.uri | (self, uri) | Sets the uri of this ProcessorDiagnosticsEntity.
The URI for futures requests to the component.
:param uri: The uri of this ProcessorDiagnosticsEntity.
:type: str | Sets the uri of this ProcessorDiagnosticsEntity.
The URI for futures requests to the component. | [
"Sets",
"the",
"uri",
"of",
"this",
"ProcessorDiagnosticsEntity",
".",
"The",
"URI",
"for",
"futures",
"requests",
"to",
"the",
"component",
"."
] | def uri(self, uri):
"""
Sets the uri of this ProcessorDiagnosticsEntity.
The URI for futures requests to the component.
:param uri: The uri of this ProcessorDiagnosticsEntity.
:type: str
"""
self._uri = uri | [
"def",
"uri",
"(",
"self",
",",
"uri",
")",
":",
"self",
".",
"_uri",
"=",
"uri"
] | https://github.com/Chaffelson/nipyapi/blob/d3b186fd701ce308c2812746d98af9120955e810/nipyapi/nifi/models/processor_diagnostics_entity.py#L144-L153 | ||
python-diamond/Diamond | 7000e16cfdf4508ed9291fc4b3800592557b2431 | src/collectors/iodrivesnmp/iodrivesnmp.py | python | IODriveSNMPCollector.get_bytes | (self, s) | return struct.unpack('%sB' % len(s), s) | Turns a string into a list of byte values | Turns a string into a list of byte values | [
"Turns",
"a",
"string",
"into",
"a",
"list",
"of",
"byte",
"values"
] | def get_bytes(self, s):
"""Turns a string into a list of byte values"""
return struct.unpack('%sB' % len(s), s) | [
"def",
"get_bytes",
"(",
"self",
",",
"s",
")",
":",
"return",
"struct",
".",
"unpack",
"(",
"'%sB'",
"%",
"len",
"(",
"s",
")",
",",
"s",
")"
] | https://github.com/python-diamond/Diamond/blob/7000e16cfdf4508ed9291fc4b3800592557b2431/src/collectors/iodrivesnmp/iodrivesnmp.py#L94-L96 | |
glitchdotcom/WebPutty | 4f5da5eb2b4668cbf3c15cf002feacd1d95d2ef7 | ziplibs/wtforms/ext/appengine/db.py | python | convert_EmailProperty | (model, prop, kwargs) | return get_TextField(kwargs) | Returns a form field for a ``db.EmailProperty``. | Returns a form field for a ``db.EmailProperty``. | [
"Returns",
"a",
"form",
"field",
"for",
"a",
"db",
".",
"EmailProperty",
"."
] | def convert_EmailProperty(model, prop, kwargs):
"""Returns a form field for a ``db.EmailProperty``."""
kwargs['validators'].append(validators.email())
return get_TextField(kwargs) | [
"def",
"convert_EmailProperty",
"(",
"model",
",",
"prop",
",",
"kwargs",
")",
":",
"kwargs",
"[",
"'validators'",
"]",
".",
"append",
"(",
"validators",
".",
"email",
"(",
")",
")",
"return",
"get_TextField",
"(",
"kwargs",
")"
] | https://github.com/glitchdotcom/WebPutty/blob/4f5da5eb2b4668cbf3c15cf002feacd1d95d2ef7/ziplibs/wtforms/ext/appengine/db.py#L217-L220 | |
Azure/azure-devops-cli-extension | 11334cd55806bef0b99c3bee5a438eed71e44037 | azure-devops/azext_devops/dev/team/user.py | python | update_user_entitlement | (user, license_type, organization=None, detect=None) | return user_entitlement_update.user_entitlement | Update license type for a user.
:param user: Email ID or ID of the user.
:type user: str
:param license_type: License type for the user.
:type license_type: str
:rtype: UserEntitlementsPatchResponse | Update license type for a user.
:param user: Email ID or ID of the user.
:type user: str
:param license_type: License type for the user.
:type license_type: str
:rtype: UserEntitlementsPatchResponse | [
"Update",
"license",
"type",
"for",
"a",
"user",
".",
":",
"param",
"user",
":",
"Email",
"ID",
"or",
"ID",
"of",
"the",
"user",
".",
":",
"type",
"user",
":",
"str",
":",
"param",
"license_type",
":",
"License",
"type",
"for",
"the",
"user",
".",
... | def update_user_entitlement(user, license_type, organization=None, detect=None):
"""Update license type for a user.
:param user: Email ID or ID of the user.
:type user: str
:param license_type: License type for the user.
:type license_type: str
:rtype: UserEntitlementsPatchResponse
"""
p... | [
"def",
"update_user_entitlement",
"(",
"user",
",",
"license_type",
",",
"organization",
"=",
"None",
",",
"detect",
"=",
"None",
")",
":",
"patch_document",
"=",
"[",
"]",
"value",
"=",
"{",
"}",
"value",
"[",
"'accountLicenseType'",
"]",
"=",
"license_type... | https://github.com/Azure/azure-devops-cli-extension/blob/11334cd55806bef0b99c3bee5a438eed71e44037/azure-devops/azext_devops/dev/team/user.py#L54-L74 | |
isce-framework/isce2 | 0e5114a8bede3caf1d533d98e44dfe4b983e3f48 | contrib/geo_autoRIFT/geogrid/GeogridOptical.py | python | GeogridOptical.finalize | (self) | Clean up all the C pointers. | Clean up all the C pointers. | [
"Clean",
"up",
"all",
"the",
"C",
"pointers",
"."
] | def finalize(self):
'''
Clean up all the C pointers.
'''
from . import geogridOptical
geogridOptical.destroyGeoGridOptical_Py(self._geogridOptical)
self._geogridOptical = None | [
"def",
"finalize",
"(",
"self",
")",
":",
"from",
".",
"import",
"geogridOptical",
"geogridOptical",
".",
"destroyGeoGridOptical_Py",
"(",
"self",
".",
"_geogridOptical",
")",
"self",
".",
"_geogridOptical",
"=",
"None"
] | https://github.com/isce-framework/isce2/blob/0e5114a8bede3caf1d533d98e44dfe4b983e3f48/contrib/geo_autoRIFT/geogrid/GeogridOptical.py#L259-L267 | ||
natashamjaques/neural_chat | ddb977bb4602a67c460d02231e7bbf7b2cb49a97 | ParlAI/parlai/mturk/core/legacy_2018/agents.py | python | MTurkAgent.wait_completion_timeout | (self, iterations) | return | Suspends the thread waiting for hit completion for some number of
iterations on the THREAD_MTURK_POLLING_SLEEP time | Suspends the thread waiting for hit completion for some number of
iterations on the THREAD_MTURK_POLLING_SLEEP time | [
"Suspends",
"the",
"thread",
"waiting",
"for",
"hit",
"completion",
"for",
"some",
"number",
"of",
"iterations",
"on",
"the",
"THREAD_MTURK_POLLING_SLEEP",
"time"
] | def wait_completion_timeout(self, iterations):
"""Suspends the thread waiting for hit completion for some number of
iterations on the THREAD_MTURK_POLLING_SLEEP time"""
# Determine number of sleep iterations for the amount of time
# we want to wait before syncing with MTurk. Start with ... | [
"def",
"wait_completion_timeout",
"(",
"self",
",",
"iterations",
")",
":",
"# Determine number of sleep iterations for the amount of time",
"# we want to wait before syncing with MTurk. Start with 10 seconds",
"# of waiting",
"iters",
"=",
"(",
"shared_utils",
".",
"THREAD_MTURK_POL... | https://github.com/natashamjaques/neural_chat/blob/ddb977bb4602a67c460d02231e7bbf7b2cb49a97/ParlAI/parlai/mturk/core/legacy_2018/agents.py#L569-L584 | |
cloudera/hue | 23f02102d4547c17c32bd5ea0eb24e9eadd657a4 | desktop/core/ext-py/xlrd-2.0.1/xlrd/__init__.py | python | dump | (filename, outfile=sys.stdout, unnumbered=False) | For debugging: dump an XLS file's BIFF records in char & hex.
:param filename: The path to the file to be dumped.
:param outfile: An open file, to which the dump is written.
:param unnumbered: If true, omit offsets (for meaningful diffs). | For debugging: dump an XLS file's BIFF records in char & hex. | [
"For",
"debugging",
":",
"dump",
"an",
"XLS",
"file",
"s",
"BIFF",
"records",
"in",
"char",
"&",
"hex",
"."
] | def dump(filename, outfile=sys.stdout, unnumbered=False):
"""
For debugging: dump an XLS file's BIFF records in char & hex.
:param filename: The path to the file to be dumped.
:param outfile: An open file, to which the dump is written.
:param unnumbered: If true, omit offsets (for meaningful diffs)... | [
"def",
"dump",
"(",
"filename",
",",
"outfile",
"=",
"sys",
".",
"stdout",
",",
"unnumbered",
"=",
"False",
")",
":",
"from",
".",
"biffh",
"import",
"biff_dump",
"bk",
"=",
"Book",
"(",
")",
"bk",
".",
"biff2_8_load",
"(",
"filename",
"=",
"filename",... | https://github.com/cloudera/hue/blob/23f02102d4547c17c32bd5ea0eb24e9eadd657a4/desktop/core/ext-py/xlrd-2.0.1/xlrd/__init__.py#L188-L199 | ||
OCA/l10n-brazil | 6faefc04c7b0de3de3810a7ab137493d933fb579 | l10n_br_stock/hooks.py | python | pre_init_hook | (cr) | Import XML data to change core data | Import XML data to change core data | [
"Import",
"XML",
"data",
"to",
"change",
"core",
"data"
] | def pre_init_hook(cr):
"""Import XML data to change core data"""
if not tools.config["without_demo"]:
_logger.info(_("Loading l10n_br_stock warehouse external ids..."))
with api.Environment.manage():
env = api.Environment(cr, SUPERUSER_ID, {})
set_stock_warehouse_externa... | [
"def",
"pre_init_hook",
"(",
"cr",
")",
":",
"if",
"not",
"tools",
".",
"config",
"[",
"\"without_demo\"",
"]",
":",
"_logger",
".",
"info",
"(",
"_",
"(",
"\"Loading l10n_br_stock warehouse external ids...\"",
")",
")",
"with",
"api",
".",
"Environment",
".",... | https://github.com/OCA/l10n-brazil/blob/6faefc04c7b0de3de3810a7ab137493d933fb579/l10n_br_stock/hooks.py#L84-L96 | ||
keras-team/keras-applications | bc89834ed36935ab4a4994446e34ff81c0d8e1b7 | keras_applications/mobilenet.py | python | preprocess_input | (x, **kwargs) | return imagenet_utils.preprocess_input(x, mode='tf', **kwargs) | Preprocesses a numpy array encoding a batch of images.
# Arguments
x: a 4D numpy array consists of RGB values within [0, 255].
# Returns
Preprocessed array. | Preprocesses a numpy array encoding a batch of images. | [
"Preprocesses",
"a",
"numpy",
"array",
"encoding",
"a",
"batch",
"of",
"images",
"."
] | def preprocess_input(x, **kwargs):
"""Preprocesses a numpy array encoding a batch of images.
# Arguments
x: a 4D numpy array consists of RGB values within [0, 255].
# Returns
Preprocessed array.
"""
return imagenet_utils.preprocess_input(x, mode='tf', **kwargs) | [
"def",
"preprocess_input",
"(",
"x",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"imagenet_utils",
".",
"preprocess_input",
"(",
"x",
",",
"mode",
"=",
"'tf'",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/keras-team/keras-applications/blob/bc89834ed36935ab4a4994446e34ff81c0d8e1b7/keras_applications/mobilenet.py#L75-L84 | |
sfu-db/dataprep | 6dfb9c659e8bf73f07978ae195d0372495c6f118 | dataprep/clean/clean_duplication_utils.py | python | Clusterer.set_cluster_params | (self, ngram: int, radius: int, block_size: int) | Set clustering parameters. | Set clustering parameters. | [
"Set",
"clustering",
"parameters",
"."
] | def set_cluster_params(self, ngram: int, radius: int, block_size: int) -> None:
"""
Set clustering parameters.
"""
self._ngram = ngram
self._radius = radius
self._block_size = block_size | [
"def",
"set_cluster_params",
"(",
"self",
",",
"ngram",
":",
"int",
",",
"radius",
":",
"int",
",",
"block_size",
":",
"int",
")",
"->",
"None",
":",
"self",
".",
"_ngram",
"=",
"ngram",
"self",
".",
"_radius",
"=",
"radius",
"self",
".",
"_block_size"... | https://github.com/sfu-db/dataprep/blob/6dfb9c659e8bf73f07978ae195d0372495c6f118/dataprep/clean/clean_duplication_utils.py#L315-L321 | ||
tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/extensions_v1beta1_ingress_list.py | python | ExtensionsV1beta1IngressList.api_version | (self, api_version) | Sets the api_version of this ExtensionsV1beta1IngressList.
APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-arch... | Sets the api_version of this ExtensionsV1beta1IngressList. | [
"Sets",
"the",
"api_version",
"of",
"this",
"ExtensionsV1beta1IngressList",
"."
] | def api_version(self, api_version):
"""Sets the api_version of this ExtensionsV1beta1IngressList.
APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://g... | [
"def",
"api_version",
"(",
"self",
",",
"api_version",
")",
":",
"self",
".",
"_api_version",
"=",
"api_version"
] | https://github.com/tomplus/kubernetes_asyncio/blob/f028cc793e3a2c519be6a52a49fb77ff0b014c9b/kubernetes_asyncio/client/models/extensions_v1beta1_ingress_list.py#L81-L90 | ||
digidotcom/xbee-python | 0757f4be0017530c205175fbee8f9f61be9614d1 | digi/xbee/filesystem.py | python | FileSystemElement.path | (self) | return self._path.decode(encoding='utf8', errors='ignore') | Returns the file system element absolute path.
Returns:
String: File system element absolute path. | Returns the file system element absolute path. | [
"Returns",
"the",
"file",
"system",
"element",
"absolute",
"path",
"."
] | def path(self):
"""
Returns the file system element absolute path.
Returns:
String: File system element absolute path.
"""
return self._path.decode(encoding='utf8', errors='ignore') | [
"def",
"path",
"(",
"self",
")",
":",
"return",
"self",
".",
"_path",
".",
"decode",
"(",
"encoding",
"=",
"'utf8'",
",",
"errors",
"=",
"'ignore'",
")"
] | https://github.com/digidotcom/xbee-python/blob/0757f4be0017530c205175fbee8f9f61be9614d1/digi/xbee/filesystem.py#L238-L245 | |
securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/lib-python/3/asyncore.py | python | dispatcher.handle_error | (self) | [] | def handle_error(self):
nil, t, v, tbinfo = compact_traceback()
# sometimes a user repr method will crash.
try:
self_repr = repr(self)
except:
self_repr = '<__repr__(self) failed for object at %0x>' % id(self)
self.log_info(
'uncaptured pytho... | [
"def",
"handle_error",
"(",
"self",
")",
":",
"nil",
",",
"t",
",",
"v",
",",
"tbinfo",
"=",
"compact_traceback",
"(",
")",
"# sometimes a user repr method will crash.",
"try",
":",
"self_repr",
"=",
"repr",
"(",
"self",
")",
"except",
":",
"self_repr",
"=",... | https://github.com/securesystemslab/zippy/blob/ff0e84ac99442c2c55fe1d285332cfd4e185e089/zippy/lib-python/3/asyncore.py#L483-L501 | ||||
KalleHallden/AutoTimer | 2d954216700c4930baa154e28dbddc34609af7ce | env/lib/python2.7/site-packages/setuptools/package_index.py | python | ContentChecker.is_valid | (self) | return True | Check the hash. Return False if validation fails. | Check the hash. Return False if validation fails. | [
"Check",
"the",
"hash",
".",
"Return",
"False",
"if",
"validation",
"fails",
"."
] | def is_valid(self):
"""
Check the hash. Return False if validation fails.
"""
return True | [
"def",
"is_valid",
"(",
"self",
")",
":",
"return",
"True"
] | https://github.com/KalleHallden/AutoTimer/blob/2d954216700c4930baa154e28dbddc34609af7ce/env/lib/python2.7/site-packages/setuptools/package_index.py#L251-L255 | |
IronLanguages/main | a949455434b1fda8c783289e897e78a9a0caabb5 | External.LCA_RESTRICTED/Languages/IronPython/27/Lib/xml/sax/xmlreader.py | python | InputSource.getSystemId | (self) | return self.__system_id | Returns the system identifier of this InputSource. | Returns the system identifier of this InputSource. | [
"Returns",
"the",
"system",
"identifier",
"of",
"this",
"InputSource",
"."
] | def getSystemId(self):
"Returns the system identifier of this InputSource."
return self.__system_id | [
"def",
"getSystemId",
"(",
"self",
")",
":",
"return",
"self",
".",
"__system_id"
] | https://github.com/IronLanguages/main/blob/a949455434b1fda8c783289e897e78a9a0caabb5/External.LCA_RESTRICTED/Languages/IronPython/27/Lib/xml/sax/xmlreader.py#L222-L224 | |
huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | examples/research_projects/rag/callbacks_rag.py | python | Seq2SeqLoggingCallback._write_logs | (
self, trainer: pl.Trainer, pl_module: pl.LightningModule, type_path: str, save_generations=True
) | [] | def _write_logs(
self, trainer: pl.Trainer, pl_module: pl.LightningModule, type_path: str, save_generations=True
) -> None:
logger.info(f"***** {type_path} results at step {trainer.global_step:05d} *****")
metrics = trainer.callback_metrics
trainer.logger.log_metrics({k: v for k, v i... | [
"def",
"_write_logs",
"(",
"self",
",",
"trainer",
":",
"pl",
".",
"Trainer",
",",
"pl_module",
":",
"pl",
".",
"LightningModule",
",",
"type_path",
":",
"str",
",",
"save_generations",
"=",
"True",
")",
"->",
"None",
":",
"logger",
".",
"info",
"(",
"... | https://github.com/huggingface/transformers/blob/623b4f7c63f60cce917677ee704d6c93ee960b4b/examples/research_projects/rag/callbacks_rag.py#L61-L94 | ||||
fregu856/2D_detection | 1f22a6d604d39f8f79fe916fcdbf40b5b668a39a | model.py | python | SqueezeDet_model.tensor_IOU | (self, box1, box2) | return IOU | [] | def tensor_IOU(self, box1, box2):
# intersection:
xmin = tf.maximum(box1[0], box2[0])
ymin = tf.maximum(box1[1], box2[1])
xmax = tf.minimum(box1[2], box2[2])
ymax = tf.minimum(box1[3], box2[3])
w = tf.maximum(0.0, xmax - xmin)
h = tf.maximum(0.0, ymax - ymin)
... | [
"def",
"tensor_IOU",
"(",
"self",
",",
"box1",
",",
"box2",
")",
":",
"# intersection:",
"xmin",
"=",
"tf",
".",
"maximum",
"(",
"box1",
"[",
"0",
"]",
",",
"box2",
"[",
"0",
"]",
")",
"ymin",
"=",
"tf",
".",
"maximum",
"(",
"box1",
"[",
"1",
"... | https://github.com/fregu856/2D_detection/blob/1f22a6d604d39f8f79fe916fcdbf40b5b668a39a/model.py#L463-L483 | |||
spectacles/CodeComplice | 8ca8ee4236f72b58caa4209d2fbd5fa56bd31d62 | libs/koXMLTreeService.py | python | TreeService.getTreeForURI | (self, uri, content=None) | return tree | [] | def getTreeForURI(self, uri, content=None):
if not uri and not content:
return None
tree = None
if uri and uri in self.__treeMap:
tree = self.__treeMap[uri]
# if tree is not None:
# print "tree cache hit for [%s]"%uri
if not content:... | [
"def",
"getTreeForURI",
"(",
"self",
",",
"uri",
",",
"content",
"=",
"None",
")",
":",
"if",
"not",
"uri",
"and",
"not",
"content",
":",
"return",
"None",
"tree",
"=",
"None",
"if",
"uri",
"and",
"uri",
"in",
"self",
".",
"__treeMap",
":",
"tree",
... | https://github.com/spectacles/CodeComplice/blob/8ca8ee4236f72b58caa4209d2fbd5fa56bd31d62/libs/koXMLTreeService.py#L523-L553 | |||
QuantumFractal/Data-Structure-Zoo | 3884d55fac0cccf3b17d18550ec52a285f909c2c | 0-Object-Oriented Programming/objects.py | python | Truck.vroom | (self) | return 'Vroooooom' | [] | def vroom(self):
return 'Vroooooom' | [
"def",
"vroom",
"(",
"self",
")",
":",
"return",
"'Vroooooom'"
] | https://github.com/QuantumFractal/Data-Structure-Zoo/blob/3884d55fac0cccf3b17d18550ec52a285f909c2c/0-Object-Oriented Programming/objects.py#L45-L46 | |||
JetBrains/python-skeletons | 95ad24b666e475998e5d1cc02ed53a2188036167 | builtins.py | python | str.swapcase | (self) | return '' | Return a copy of the string with uppercase characters converted
to lowercase and vice versa.
:rtype: str | Return a copy of the string with uppercase characters converted
to lowercase and vice versa. | [
"Return",
"a",
"copy",
"of",
"the",
"string",
"with",
"uppercase",
"characters",
"converted",
"to",
"lowercase",
"and",
"vice",
"versa",
"."
] | def swapcase(self):
"""Return a copy of the string with uppercase characters converted
to lowercase and vice versa.
:rtype: str
"""
return '' | [
"def",
"swapcase",
"(",
"self",
")",
":",
"return",
"''"
] | https://github.com/JetBrains/python-skeletons/blob/95ad24b666e475998e5d1cc02ed53a2188036167/builtins.py#L1701-L1707 | |
yantisj/netgrph | 0ebc72efbd970e0ce76d44d91a27d167103633b5 | nglib/query/__init__.py | python | display_mgmt_groups | () | Print all Management Groups to the Screen | Print all Management Groups to the Screen | [
"Print",
"all",
"Management",
"Groups",
"to",
"the",
"Screen"
] | def display_mgmt_groups():
"""Print all Management Groups to the Screen"""
mgmt = nglib.py2neo_ses.cypher.execute(
'MATCH (s:Switch) RETURN DISTINCT(s.mgmt) as name ORDER BY name')
if len(mgmt) > 0:
print("Available Groups:")
for s in mgmt.records:
print("> " + str(s.na... | [
"def",
"display_mgmt_groups",
"(",
")",
":",
"mgmt",
"=",
"nglib",
".",
"py2neo_ses",
".",
"cypher",
".",
"execute",
"(",
"'MATCH (s:Switch) RETURN DISTINCT(s.mgmt) as name ORDER BY name'",
")",
"if",
"len",
"(",
"mgmt",
")",
">",
"0",
":",
"print",
"(",
"\"Avai... | https://github.com/yantisj/netgrph/blob/0ebc72efbd970e0ce76d44d91a27d167103633b5/nglib/query/__init__.py#L68-L79 | ||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/elasticsearch/client/indices.py | python | IndicesClient.clear_cache | (self, index=None, params=None) | return data | Clear either all caches or specific cached associated with one ore more indices.
`<http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/indices-clearcache.html>`_
:arg index: A comma-separated list of index name to limit the operation
:arg field_data: Clear field data
:... | Clear either all caches or specific cached associated with one ore more indices.
`<http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/indices-clearcache.html>`_ | [
"Clear",
"either",
"all",
"caches",
"or",
"specific",
"cached",
"associated",
"with",
"one",
"ore",
"more",
"indices",
".",
"<http",
":",
"//",
"www",
".",
"elasticsearch",
".",
"org",
"/",
"guide",
"/",
"en",
"/",
"elasticsearch",
"/",
"reference",
"/",
... | def clear_cache(self, index=None, params=None):
"""
Clear either all caches or specific cached associated with one ore more indices.
`<http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/indices-clearcache.html>`_
:arg index: A comma-separated list of index name to lim... | [
"def",
"clear_cache",
"(",
"self",
",",
"index",
"=",
"None",
",",
"params",
"=",
"None",
")",
":",
"_",
",",
"data",
"=",
"self",
".",
"transport",
".",
"perform_request",
"(",
"'POST'",
",",
"_make_path",
"(",
"index",
",",
"'_cache'",
",",
"'clear'"... | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_hxb2/lib/python3.5/site-packages/elasticsearch/client/indices.py#L772-L802 | |
selfteaching/selfteaching-python-camp | 9982ee964b984595e7d664b07c389cddaf158f1e | exercises/1901100108/d07/mymodule/stats_word.py | python | stats_text | (text) | return stats_text_en(text) + stats_text_cn(text) | 合并 英文词频 和 中文字频 的结果 | 合并 英文词频 和 中文字频 的结果 | [
"合并",
"英文词频",
"和",
"中文字频",
"的结果"
] | def stats_text(text):
'''
合并 英文词频 和 中文字频 的结果
'''
return stats_text_en(text) + stats_text_cn(text) | [
"def",
"stats_text",
"(",
"text",
")",
":",
"return",
"stats_text_en",
"(",
"text",
")",
"+",
"stats_text_cn",
"(",
"text",
")"
] | https://github.com/selfteaching/selfteaching-python-camp/blob/9982ee964b984595e7d664b07c389cddaf158f1e/exercises/1901100108/d07/mymodule/stats_word.py#L36-L40 | |
ales-tsurko/cells | 4cf7e395cd433762bea70cdc863a346f3a6fe1d0 | packaging/macos/python/lib/python3.7/site-packages/pip/_vendor/lockfile/sqlitelockfile.py | python | SQLiteLockFile.__init__ | (self, path, threaded=True, timeout=None) | >>> lock = SQLiteLockFile('somefile')
>>> lock = SQLiteLockFile('somefile', threaded=False) | >>> lock = SQLiteLockFile('somefile')
>>> lock = SQLiteLockFile('somefile', threaded=False) | [
">>>",
"lock",
"=",
"SQLiteLockFile",
"(",
"somefile",
")",
">>>",
"lock",
"=",
"SQLiteLockFile",
"(",
"somefile",
"threaded",
"=",
"False",
")"
] | def __init__(self, path, threaded=True, timeout=None):
"""
>>> lock = SQLiteLockFile('somefile')
>>> lock = SQLiteLockFile('somefile', threaded=False)
"""
LockBase.__init__(self, path, threaded, timeout)
self.lock_file = unicode(self.lock_file)
self.unique_name = ... | [
"def",
"__init__",
"(",
"self",
",",
"path",
",",
"threaded",
"=",
"True",
",",
"timeout",
"=",
"None",
")",
":",
"LockBase",
".",
"__init__",
"(",
"self",
",",
"path",
",",
"threaded",
",",
"timeout",
")",
"self",
".",
"lock_file",
"=",
"unicode",
"... | https://github.com/ales-tsurko/cells/blob/4cf7e395cd433762bea70cdc863a346f3a6fe1d0/packaging/macos/python/lib/python3.7/site-packages/pip/_vendor/lockfile/sqlitelockfile.py#L19-L51 | ||
pypa/pip | 7f8a6844037fb7255cfd0d34ff8e8cf44f2598d4 | src/pip/_vendor/rich/ansi.py | python | _ansi_tokenize | (ansi_text: str) | Tokenize a string in to plain text and ANSI codes.
Args:
ansi_text (str): A String containing ANSI codes.
Yields:
AnsiToken: A named tuple of (plain, sgr, osc) | Tokenize a string in to plain text and ANSI codes. | [
"Tokenize",
"a",
"string",
"in",
"to",
"plain",
"text",
"and",
"ANSI",
"codes",
"."
] | def _ansi_tokenize(ansi_text: str) -> Iterable[_AnsiToken]:
"""Tokenize a string in to plain text and ANSI codes.
Args:
ansi_text (str): A String containing ANSI codes.
Yields:
AnsiToken: A named tuple of (plain, sgr, osc)
"""
def remove_csi(ansi_text: str) -> str:
"""Remo... | [
"def",
"_ansi_tokenize",
"(",
"ansi_text",
":",
"str",
")",
"->",
"Iterable",
"[",
"_AnsiToken",
"]",
":",
"def",
"remove_csi",
"(",
"ansi_text",
":",
"str",
")",
"->",
"str",
":",
"\"\"\"Remove unknown CSI sequences.\"\"\"",
"return",
"re_csi",
".",
"sub",
"(... | https://github.com/pypa/pip/blob/7f8a6844037fb7255cfd0d34ff8e8cf44f2598d4/src/pip/_vendor/rich/ansi.py#L21-L44 | ||
apache/superset | 3d829fc3c838358dd8c798ecaeefd34c502edca0 | superset/connectors/sqla/views.py | python | TableModelView.edit | (self, pk: str) | return redirect("/superset/explore/table/{}/".format(pk)) | Simple hack to redirect to explore view after saving | Simple hack to redirect to explore view after saving | [
"Simple",
"hack",
"to",
"redirect",
"to",
"explore",
"view",
"after",
"saving"
] | def edit(self, pk: str) -> FlaskResponse:
"""Simple hack to redirect to explore view after saving"""
resp = super().edit(pk)
if isinstance(resp, str):
return resp
return redirect("/superset/explore/table/{}/".format(pk)) | [
"def",
"edit",
"(",
"self",
",",
"pk",
":",
"str",
")",
"->",
"FlaskResponse",
":",
"resp",
"=",
"super",
"(",
")",
".",
"edit",
"(",
"pk",
")",
"if",
"isinstance",
"(",
"resp",
",",
"str",
")",
":",
"return",
"resp",
"return",
"redirect",
"(",
"... | https://github.com/apache/superset/blob/3d829fc3c838358dd8c798ecaeefd34c502edca0/superset/connectors/sqla/views.py#L557-L562 | |
securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/whoosh/src/whoosh/query/spans.py | python | Span.__init__ | (self, start, end=None, startchar=None, endchar=None,
boost=1.0) | [] | def __init__(self, start, end=None, startchar=None, endchar=None,
boost=1.0):
if end is None:
end = start
assert start <= end
self.start = start
self.end = end
self.startchar = startchar
self.endchar = endchar
self.boost = boost | [
"def",
"__init__",
"(",
"self",
",",
"start",
",",
"end",
"=",
"None",
",",
"startchar",
"=",
"None",
",",
"endchar",
"=",
"None",
",",
"boost",
"=",
"1.0",
")",
":",
"if",
"end",
"is",
"None",
":",
"end",
"=",
"start",
"assert",
"start",
"<=",
"... | https://github.com/securesystemslab/zippy/blob/ff0e84ac99442c2c55fe1d285332cfd4e185e089/zippy/benchmarks/src/benchmarks/whoosh/src/whoosh/query/spans.py#L56-L65 | ||||
catalyst-team/catalyst | 678dc06eda1848242df010b7f34adb572def2598 | catalyst/contrib/losses/regression.py | python | _ce_with_logits | (logits, target) | return torch.sum(-target * torch.log_softmax(logits, -1), -1) | Returns cross entropy for giving logits | Returns cross entropy for giving logits | [
"Returns",
"cross",
"entropy",
"for",
"giving",
"logits"
] | def _ce_with_logits(logits, target):
"""Returns cross entropy for giving logits"""
return torch.sum(-target * torch.log_softmax(logits, -1), -1) | [
"def",
"_ce_with_logits",
"(",
"logits",
",",
"target",
")",
":",
"return",
"torch",
".",
"sum",
"(",
"-",
"target",
"*",
"torch",
".",
"log_softmax",
"(",
"logits",
",",
"-",
"1",
")",
",",
"-",
"1",
")"
] | https://github.com/catalyst-team/catalyst/blob/678dc06eda1848242df010b7f34adb572def2598/catalyst/contrib/losses/regression.py#L6-L8 | |
podgorniy/alfred-translate | 752a7374b7b3a4ed1f01cbad096f36202e1df77f | src/translate.py | python | get_translation_suggestions | (input_string, spelling_suggestions, vocabulary_article) | return res | Returns XML with translate suggestions | Returns XML with translate suggestions | [
"Returns",
"XML",
"with",
"translate",
"suggestions"
] | def get_translation_suggestions(input_string, spelling_suggestions, vocabulary_article):
"""Returns XML with translate suggestions"""
res = []
if len(spelling_suggestions) == 0 and len(vocabulary_article) == 0:
return res
if len(vocabulary_article['def']) != 0:
for article in vocabulary_article['def']:
for ... | [
"def",
"get_translation_suggestions",
"(",
"input_string",
",",
"spelling_suggestions",
",",
"vocabulary_article",
")",
":",
"res",
"=",
"[",
"]",
"if",
"len",
"(",
"spelling_suggestions",
")",
"==",
"0",
"and",
"len",
"(",
"vocabulary_article",
")",
"==",
"0",
... | https://github.com/podgorniy/alfred-translate/blob/752a7374b7b3a4ed1f01cbad096f36202e1df77f/src/translate.py#L57-L77 | |
yuzhoujr/leetcode | 6a2ad1fc11225db18f68bfadd21a7419d2cb52a4 | tree/EricD/111. Minimum Depth of Binary Tree - EricD.py | python | minDepth | (self, root) | :type root: TreeNode
:rtype: int | :type root: TreeNode
:rtype: int | [
":",
"type",
"root",
":",
"TreeNode",
":",
"rtype",
":",
"int"
] | def minDepth(self, root):
"""
:type root: TreeNode
:rtype: int
"""
if root:
if root.left is None and root.right is None:
return 1
else:
l = self.minDepth(root.left) if root.left else sys.maxint
r = self.minDepth(root.right) if root.right else sys.m... | [
"def",
"minDepth",
"(",
"self",
",",
"root",
")",
":",
"if",
"root",
":",
"if",
"root",
".",
"left",
"is",
"None",
"and",
"root",
".",
"right",
"is",
"None",
":",
"return",
"1",
"else",
":",
"l",
"=",
"self",
".",
"minDepth",
"(",
"root",
".",
... | https://github.com/yuzhoujr/leetcode/blob/6a2ad1fc11225db18f68bfadd21a7419d2cb52a4/tree/EricD/111. Minimum Depth of Binary Tree - EricD.py#L2-L16 | ||
Komodo/KomodoEdit | 61edab75dce2bdb03943b387b0608ea36f548e8e | src/components/sciutils.py | python | genLinesBwd | (offset, styledText, position) | r"""Generate styled lines backwards from the given position.
"offset" is the position offset from the start of the source SciMoz
buffer at which "styledText" begins. I.e. the whole buffer
is not necessarily passed in.
"styledText" is the styled text from which to extract.
... | r"""Generate styled lines backwards from the given position.
"offset" is the position offset from the start of the source SciMoz
buffer at which "styledText" begins. I.e. the whole buffer
is not necessarily passed in.
"styledText" is the styled text from which to extract.
... | [
"r",
"Generate",
"styled",
"lines",
"backwards",
"from",
"the",
"given",
"position",
".",
"offset",
"is",
"the",
"position",
"offset",
"from",
"the",
"start",
"of",
"the",
"source",
"SciMoz",
"buffer",
"at",
"which",
"styledText",
"begins",
".",
"I",
".",
... | def genLinesBwd(offset, styledText, position):
r"""Generate styled lines backwards from the given position.
"offset" is the position offset from the start of the source SciMoz
buffer at which "styledText" begins. I.e. the whole buffer
is not necessarily passed in.
"style... | [
"def",
"genLinesBwd",
"(",
"offset",
",",
"styledText",
",",
"position",
")",
":",
"DEBUG",
"=",
"0",
"if",
"DEBUG",
":",
"print",
"_printBanner",
"(",
"\"genLinesBwd(offset=%d, styledText, position=%d)\"",
"%",
"(",
"offset",
",",
"position",
")",
")",
"_printB... | https://github.com/Komodo/KomodoEdit/blob/61edab75dce2bdb03943b387b0608ea36f548e8e/src/components/sciutils.py#L330-L381 | ||
geekan/scrapy-examples | edb1cb116bd6def65a6ef01f953b58eb43e54305 | alexa_topsites/alexa_topsites/spiders/spider.py | python | alexa_topsitesSpider.parse_1 | (self, response) | [] | def parse_1(self, response):
info('Parse '+response.url)
x = self.parse_with_rules(response, self.list_css_rules, dict)
# x = self.parse_with_rules(response, self.content_css_rules, dict)
print(json.dumps(x, ensure_ascii=False, indent=2)) | [
"def",
"parse_1",
"(",
"self",
",",
"response",
")",
":",
"info",
"(",
"'Parse '",
"+",
"response",
".",
"url",
")",
"x",
"=",
"self",
".",
"parse_with_rules",
"(",
"response",
",",
"self",
".",
"list_css_rules",
",",
"dict",
")",
"# x = self.parse_with_ru... | https://github.com/geekan/scrapy-examples/blob/edb1cb116bd6def65a6ef01f953b58eb43e54305/alexa_topsites/alexa_topsites/spiders/spider.py#L47-L51 | ||||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/pip/commands/__init__.py | python | _sort_commands | (cmddict, order) | return sorted(cmddict.items(), key=keyfn) | [] | def _sort_commands(cmddict, order):
def keyfn(key):
try:
return order.index(key[1])
except ValueError:
# unordered items should come last
return 0xff
return sorted(cmddict.items(), key=keyfn) | [
"def",
"_sort_commands",
"(",
"cmddict",
",",
"order",
")",
":",
"def",
"keyfn",
"(",
"key",
")",
":",
"try",
":",
"return",
"order",
".",
"index",
"(",
"key",
"[",
"1",
"]",
")",
"except",
"ValueError",
":",
"# unordered items should come last",
"return",... | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_hxb2/lib/python3.5/site-packages/pip/commands/__init__.py#L78-L86 | |||
hudson-and-thames/mlfinlab | 79dcc7120ec84110578f75b025a75850eb72fc73 | mlfinlab/codependence/information.py | python | get_optimal_number_of_bins | (num_obs: int, corr_coef: float = None) | Calculates optimal number of bins for discretization based on number of observations
and correlation coefficient (univariate case).
Algorithms used in this function were originally proposed in the works of Hacine-Gharbi et al. (2012)
and Hacine-Gharbi and Ravier (2018). They are described in the Cornell le... | Calculates optimal number of bins for discretization based on number of observations
and correlation coefficient (univariate case). | [
"Calculates",
"optimal",
"number",
"of",
"bins",
"for",
"discretization",
"based",
"on",
"number",
"of",
"observations",
"and",
"correlation",
"coefficient",
"(",
"univariate",
"case",
")",
"."
] | def get_optimal_number_of_bins(num_obs: int, corr_coef: float = None) -> int:
"""
Calculates optimal number of bins for discretization based on number of observations
and correlation coefficient (univariate case).
Algorithms used in this function were originally proposed in the works of Hacine-Gharbi e... | [
"def",
"get_optimal_number_of_bins",
"(",
"num_obs",
":",
"int",
",",
"corr_coef",
":",
"float",
"=",
"None",
")",
"->",
"int",
":",
"pass"
] | https://github.com/hudson-and-thames/mlfinlab/blob/79dcc7120ec84110578f75b025a75850eb72fc73/mlfinlab/codependence/information.py#L12-L26 | ||
i3visio/osrframework | e02a6e9b1346ab5a01244c0d19bcec8232bf1a37 | osrframework/domainfy.py | python | create_domains | (tlds, nicks=None, nicks_file=None) | return domain_candidates | Method that globally permits to generate the domains to be checked
Args:
tlds (list): List of tlds.
nicks (list): List of aliases.
nicks_file (str): The filepath to the aliases file.
Returns:
list: The list of domains to be checked. | Method that globally permits to generate the domains to be checked | [
"Method",
"that",
"globally",
"permits",
"to",
"generate",
"the",
"domains",
"to",
"be",
"checked"
] | def create_domains(tlds, nicks=None, nicks_file=None):
"""Method that globally permits to generate the domains to be checked
Args:
tlds (list): List of tlds.
nicks (list): List of aliases.
nicks_file (str): The filepath to the aliases file.
Returns:
list: The list of domain... | [
"def",
"create_domains",
"(",
"tlds",
",",
"nicks",
"=",
"None",
",",
"nicks_file",
"=",
"None",
")",
":",
"domain_candidates",
"=",
"[",
"]",
"if",
"nicks",
"is",
"not",
"None",
":",
"for",
"nick",
"in",
"nicks",
":",
"for",
"tld",
"in",
"tlds",
":"... | https://github.com/i3visio/osrframework/blob/e02a6e9b1346ab5a01244c0d19bcec8232bf1a37/osrframework/domainfy.py#L207-L239 | |
eliben/pyelftools | 8f7a0becaface09435c4374947548b7851e3d1a2 | elftools/dwarf/callframe.py | python | CFIEntry._decode_CFI_table | (self) | return DecodedCallFrameTable(table=table, reg_order=reg_order) | Decode the instructions contained in the given CFI entry and return
a DecodedCallFrameTable. | Decode the instructions contained in the given CFI entry and return
a DecodedCallFrameTable. | [
"Decode",
"the",
"instructions",
"contained",
"in",
"the",
"given",
"CFI",
"entry",
"and",
"return",
"a",
"DecodedCallFrameTable",
"."
] | def _decode_CFI_table(self):
""" Decode the instructions contained in the given CFI entry and return
a DecodedCallFrameTable.
"""
if isinstance(self, CIE):
# For a CIE, initialize cur_line to an "empty" line
cie = self
cur_line = dict(pc=0, cfa=CFA... | [
"def",
"_decode_CFI_table",
"(",
"self",
")",
":",
"if",
"isinstance",
"(",
"self",
",",
"CIE",
")",
":",
"# For a CIE, initialize cur_line to an \"empty\" line",
"cie",
"=",
"self",
"cur_line",
"=",
"dict",
"(",
"pc",
"=",
"0",
",",
"cfa",
"=",
"CFARule",
"... | https://github.com/eliben/pyelftools/blob/8f7a0becaface09435c4374947548b7851e3d1a2/elftools/dwarf/callframe.py#L505-L625 | |
hyperledger/aries-cloudagent-python | 2f36776e99f6053ae92eed8123b5b1b2e891c02a | aries_cloudagent/messaging/models/base.py | python | BaseModel.validate | (self, unknown: str = None) | return self | Validate a constructed model. | Validate a constructed model. | [
"Validate",
"a",
"constructed",
"model",
"."
] | def validate(self, unknown: str = None):
"""Validate a constructed model."""
schema = self.Schema(unknown=unknown)
errors = schema.validate(self.serialize())
if errors:
raise ValidationError(errors)
return self | [
"def",
"validate",
"(",
"self",
",",
"unknown",
":",
"str",
"=",
"None",
")",
":",
"schema",
"=",
"self",
".",
"Schema",
"(",
"unknown",
"=",
"unknown",
")",
"errors",
"=",
"schema",
".",
"validate",
"(",
"self",
".",
"serialize",
"(",
")",
")",
"i... | https://github.com/hyperledger/aries-cloudagent-python/blob/2f36776e99f6053ae92eed8123b5b1b2e891c02a/aries_cloudagent/messaging/models/base.py#L182-L188 | |
skyfielders/python-skyfield | 0e68757a5c1081f784c58fd7a76635c6deb98451 | skyfield/toposlib.py | python | GeographicPosition.lst_hours_at | (self, t) | return (t.gast + self.longitude._hours + sprime / 54000.0) % 24.0 | Return the Local Apparent Sidereal Time, in hours, at time ``t``.
This location’s Local Apparent Sidereal Time (LAST) is the right
ascension of the zenith at the time ``t``, as measured against
the “true” Earth equator and equinox (rather than the fictional
“mean” equator and equinox, w... | Return the Local Apparent Sidereal Time, in hours, at time ``t``. | [
"Return",
"the",
"Local",
"Apparent",
"Sidereal",
"Time",
"in",
"hours",
"at",
"time",
"t",
"."
] | def lst_hours_at(self, t):
"""Return the Local Apparent Sidereal Time, in hours, at time ``t``.
This location’s Local Apparent Sidereal Time (LAST) is the right
ascension of the zenith at the time ``t``, as measured against
the “true” Earth equator and equinox (rather than the fictional... | [
"def",
"lst_hours_at",
"(",
"self",
",",
"t",
")",
":",
"sprime",
"=",
"-",
"47.0e-6",
"*",
"(",
"t",
".",
"whole",
"-",
"T0",
"+",
"t",
".",
"tdb_fraction",
")",
"/",
"36525.0",
"return",
"(",
"t",
".",
"gast",
"+",
"self",
".",
"longitude",
"."... | https://github.com/skyfielders/python-skyfield/blob/0e68757a5c1081f784c58fd7a76635c6deb98451/skyfield/toposlib.py#L87-L97 | |
maas/maas | db2f89970c640758a51247c59bf1ec6f60cf4ab5 | src/maasserver/models/filesystem.py | python | Filesystem.get_physical_block_devices | (self) | return devices | Return PhysicalBlockDevices backing the filesystem. | Return PhysicalBlockDevices backing the filesystem. | [
"Return",
"PhysicalBlockDevices",
"backing",
"the",
"filesystem",
"."
] | def get_physical_block_devices(self):
"""Return PhysicalBlockDevices backing the filesystem."""
from maasserver.models.virtualblockdevice import VirtualBlockDevice
devices = []
parent = self.get_parent()
if isinstance(parent, PhysicalBlockDevice):
devices.append(pare... | [
"def",
"get_physical_block_devices",
"(",
"self",
")",
":",
"from",
"maasserver",
".",
"models",
".",
"virtualblockdevice",
"import",
"VirtualBlockDevice",
"devices",
"=",
"[",
"]",
"parent",
"=",
"self",
".",
"get_parent",
"(",
")",
"if",
"isinstance",
"(",
"... | https://github.com/maas/maas/blob/db2f89970c640758a51247c59bf1ec6f60cf4ab5/src/maasserver/models/filesystem.py#L172-L187 | |
materialsproject/pymatgen | 8128f3062a334a2edd240e4062b5b9bdd1ae6f58 | pymatgen/analysis/phase_diagram.py | python | PhaseDiagram.get_all_chempots | (self, comp) | return chempots | Get chemical potentials at a given compositon.
Args:
comp (Composition): Composition
Returns:
Chemical potentials. | Get chemical potentials at a given compositon. | [
"Get",
"chemical",
"potentials",
"at",
"a",
"given",
"compositon",
"."
] | def get_all_chempots(self, comp):
"""
Get chemical potentials at a given compositon.
Args:
comp (Composition): Composition
Returns:
Chemical potentials.
"""
all_facets = self._get_all_facets_and_simplexes(comp)
chempots = {}
for ... | [
"def",
"get_all_chempots",
"(",
"self",
",",
"comp",
")",
":",
"all_facets",
"=",
"self",
".",
"_get_all_facets_and_simplexes",
"(",
"comp",
")",
"chempots",
"=",
"{",
"}",
"for",
"facet",
"in",
"all_facets",
":",
"facet_name",
"=",
"\"-\"",
".",
"join",
"... | https://github.com/materialsproject/pymatgen/blob/8128f3062a334a2edd240e4062b5b9bdd1ae6f58/pymatgen/analysis/phase_diagram.py#L897-L914 | |
asciidisco/plugin.video.netflix | ceb2638a9676f5839250dadfd079b9e4e4bdd759 | resources/lib/NetflixSession.py | python | NetflixSession.parse_video_list_ids_entry | (self, id, entry) | return {
id: {
'id': id,
'index': entry['index'],
'name': entry['context'],
'displayName': entry['displayName'],
'size': entry['length']
}
} | Parse a video id entry e.g. rip out the parts we need
Parameters
----------
response_data : :obj:`dict` of :obj:`str`
Dictionary entry from the ´fetch_video_list_ids´ call
Returns
-------
id : :obj:`str`
Unique id of the video list
entry... | Parse a video id entry e.g. rip out the parts we need | [
"Parse",
"a",
"video",
"id",
"entry",
"e",
".",
"g",
".",
"rip",
"out",
"the",
"parts",
"we",
"need"
] | def parse_video_list_ids_entry(self, id, entry):
"""Parse a video id entry e.g. rip out the parts we need
Parameters
----------
response_data : :obj:`dict` of :obj:`str`
Dictionary entry from the ´fetch_video_list_ids´ call
Returns
-------
id : :obj:... | [
"def",
"parse_video_list_ids_entry",
"(",
"self",
",",
"id",
",",
"entry",
")",
":",
"return",
"{",
"id",
":",
"{",
"'id'",
":",
"id",
",",
"'index'",
":",
"entry",
"[",
"'index'",
"]",
",",
"'name'",
":",
"entry",
"[",
"'context'",
"]",
",",
"'displ... | https://github.com/asciidisco/plugin.video.netflix/blob/ceb2638a9676f5839250dadfd079b9e4e4bdd759/resources/lib/NetflixSession.py#L580-L612 | |
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/Python-2.7.9/Lib/lib-tk/Tix.py | python | Tk.destroy | (self) | [] | def destroy(self):
# For safety, remove an delete_window binding before destroy
self.protocol("WM_DELETE_WINDOW", "")
Tkinter.Tk.destroy(self) | [
"def",
"destroy",
"(",
"self",
")",
":",
"# For safety, remove an delete_window binding before destroy",
"self",
".",
"protocol",
"(",
"\"WM_DELETE_WINDOW\"",
",",
"\"\"",
")",
"Tkinter",
".",
"Tk",
".",
"destroy",
"(",
"self",
")"
] | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/Python-2.7.9/Lib/lib-tk/Tix.py#L223-L226 | ||||
kuri65536/python-for-android | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | python-build/python-libs/gdata/src/gdata/spreadsheet/service.py | python | SpreadsheetsService.GetListFeed | (self, key, wksht_id='default', row_id=None, query=None,
visibility='private', projection='full') | Gets a list feed or a specific entry if a row_id is defined
Args:
key: string The spreadsheet key defined in /ccc?key=
wksht_id: string The id for a specific worksheet entry
row_id: string (optional) The row_id of a row in the list
query: DocumentQuery (optional) Query parameters
... | Gets a list feed or a specific entry if a row_id is defined
Args:
key: string The spreadsheet key defined in /ccc?key=
wksht_id: string The id for a specific worksheet entry
row_id: string (optional) The row_id of a row in the list
query: DocumentQuery (optional) Query parameters
... | [
"Gets",
"a",
"list",
"feed",
"or",
"a",
"specific",
"entry",
"if",
"a",
"row_id",
"is",
"defined",
"Args",
":",
"key",
":",
"string",
"The",
"spreadsheet",
"key",
"defined",
"in",
"/",
"ccc?key",
"=",
"wksht_id",
":",
"string",
"The",
"id",
"for",
"a",... | def GetListFeed(self, key, wksht_id='default', row_id=None, query=None,
visibility='private', projection='full'):
"""Gets a list feed or a specific entry if a row_id is defined
Args:
key: string The spreadsheet key defined in /ccc?key=
wksht_id: string The id for a specific worksheet entry
... | [
"def",
"GetListFeed",
"(",
"self",
",",
"key",
",",
"wksht_id",
"=",
"'default'",
",",
"row_id",
"=",
"None",
",",
"query",
"=",
"None",
",",
"visibility",
"=",
"'private'",
",",
"projection",
"=",
"'full'",
")",
":",
"uri",
"=",
"(",
"'http://%s/feeds/l... | https://github.com/kuri65536/python-for-android/blob/26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891/python-build/python-libs/gdata/src/gdata/spreadsheet/service.py#L220-L249 | ||
brightmart/xlnet_zh | 75e39630ec0856509cde45aa0505195e32564466 | src/run_classifier.py | python | ImdbProcessor.get_dev_examples | (self, data_dir) | return self._create_examples(os.path.join(data_dir, "test")) | [] | def get_dev_examples(self, data_dir):
return self._create_examples(os.path.join(data_dir, "test")) | [
"def",
"get_dev_examples",
"(",
"self",
",",
"data_dir",
")",
":",
"return",
"self",
".",
"_create_examples",
"(",
"os",
".",
"path",
".",
"join",
"(",
"data_dir",
",",
"\"test\"",
")",
")"
] | https://github.com/brightmart/xlnet_zh/blob/75e39630ec0856509cde45aa0505195e32564466/src/run_classifier.py#L307-L308 | |||
elfi-dev/elfi | 07ac0ed5e81d5d5fb42de63db3cf9ccc9135b88c | elfi/methods/inference/romc.py | python | ROMC._filter_solutions | (self, eps_filter) | Filter out the solutions over eps threshold.
Parameters
----------
eps_filter: float
the threshold for filtering out solutions | Filter out the solutions over eps threshold. | [
"Filter",
"out",
"the",
"solutions",
"over",
"eps",
"threshold",
"."
] | def _filter_solutions(self, eps_filter):
"""Filter out the solutions over eps threshold.
Parameters
----------
eps_filter: float
the threshold for filtering out solutions
"""
# checks
assert self.inference_state["_has_solved_problems"]
# get... | [
"def",
"_filter_solutions",
"(",
"self",
",",
"eps_filter",
")",
":",
"# checks",
"assert",
"self",
".",
"inference_state",
"[",
"\"_has_solved_problems\"",
"]",
"# getters",
"n1",
"=",
"self",
".",
"inference_args",
"[",
"\"N1\"",
"]",
"solved",
"=",
"self",
... | https://github.com/elfi-dev/elfi/blob/07ac0ed5e81d5d5fb42de63db3cf9ccc9135b88c/elfi/methods/inference/romc.py#L726-L753 | ||
google-research/tensorflow_constrained_optimization | 723d63f8567aaa988c4ce4761152beee2b462e1d | tensorflow_constrained_optimization/python/rates/loss.py | python | HingeLoss.__init__ | (self, margin=1.0) | Creates a new HingeLoss object with the given margin.
The margin determines how far a prediction must be from the decision
boundary in order for it to be penalized. When the margin is zero, this
threshold is exactly the decision boundary. When the margin is at least one,
the hinge loss upper bounds the... | Creates a new HingeLoss object with the given margin. | [
"Creates",
"a",
"new",
"HingeLoss",
"object",
"with",
"the",
"given",
"margin",
"."
] | def __init__(self, margin=1.0):
"""Creates a new HingeLoss object with the given margin.
The margin determines how far a prediction must be from the decision
boundary in order for it to be penalized. When the margin is zero, this
threshold is exactly the decision boundary. When the margin is at least o... | [
"def",
"__init__",
"(",
"self",
",",
"margin",
"=",
"1.0",
")",
":",
"super",
"(",
"HingeLoss",
",",
"self",
")",
".",
"__init__",
"(",
")",
"self",
".",
"_margin",
"=",
"float",
"(",
"margin",
")",
"if",
"margin",
"<",
"0.0",
":",
"raise",
"ValueE... | https://github.com/google-research/tensorflow_constrained_optimization/blob/723d63f8567aaa988c4ce4761152beee2b462e1d/tensorflow_constrained_optimization/python/rates/loss.py#L358-L376 | ||
Epistimio/orion | 732e739d99561020dbe620760acf062ade746006 | src/orion/algo/asha.py | python | ASHABracket.is_filled | (self) | return False | ASHA's first rung can always sample new trials | ASHA's first rung can always sample new trials | [
"ASHA",
"s",
"first",
"rung",
"can",
"always",
"sample",
"new",
"trials"
] | def is_filled(self):
"""ASHA's first rung can always sample new trials"""
return False | [
"def",
"is_filled",
"(",
"self",
")",
":",
"return",
"False"
] | https://github.com/Epistimio/orion/blob/732e739d99561020dbe620760acf062ade746006/src/orion/algo/asha.py#L256-L258 | |
minerllabs/minerl | 0123527c334c96ebb3f0cf313df1552fa4302691 | minerl/herobraine/hero/handlers/agent/observations/location_stats.py | python | _ZPositionObservation.__init__ | (self) | [] | def __init__(self):
super().__init__(key_list=['zpos'], space=spaces.Box(low=-640000.0, high=640000.0, shape=(), dtype=np.float),
default_if_missing=0.0) | [
"def",
"__init__",
"(",
"self",
")",
":",
"super",
"(",
")",
".",
"__init__",
"(",
"key_list",
"=",
"[",
"'zpos'",
"]",
",",
"space",
"=",
"spaces",
".",
"Box",
"(",
"low",
"=",
"-",
"640000.0",
",",
"high",
"=",
"640000.0",
",",
"shape",
"=",
"(... | https://github.com/minerllabs/minerl/blob/0123527c334c96ebb3f0cf313df1552fa4302691/minerl/herobraine/hero/handlers/agent/observations/location_stats.py#L98-L100 | ||||
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/combinat/finite_state_machine.py | python | FiniteStateMachine.prepone_output | (self) | For all paths, shift the output of the path from one
transition to the earliest possible preceding transition of
the path.
INPUT:
Nothing.
OUTPUT:
Nothing.
Apply the following to each state `s` (except initial states) of the
finite state machine as of... | For all paths, shift the output of the path from one
transition to the earliest possible preceding transition of
the path. | [
"For",
"all",
"paths",
"shift",
"the",
"output",
"of",
"the",
"path",
"from",
"one",
"transition",
"to",
"the",
"earliest",
"possible",
"preceding",
"transition",
"of",
"the",
"path",
"."
] | def prepone_output(self):
"""
For all paths, shift the output of the path from one
transition to the earliest possible preceding transition of
the path.
INPUT:
Nothing.
OUTPUT:
Nothing.
Apply the following to each state `s` (except initial sta... | [
"def",
"prepone_output",
"(",
"self",
")",
":",
"def",
"find_common_output",
"(",
"state",
")",
":",
"if",
"(",
"any",
"(",
"transition",
"for",
"transition",
"in",
"self",
".",
"transitions",
"(",
"state",
")",
"if",
"not",
"transition",
".",
"word_out",
... | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/combinat/finite_state_machine.py#L8845-L9011 | ||
lazylibrarian/LazyLibrarian | ae3c14e9db9328ce81765e094ab2a14ed7155624 | lib/pythontwitter/__init__.py | python | User.GetStatus | (self) | return self._status | Get the latest twitter.Status of this user.
Returns:
The latest twitter.Status of this user | Get the latest twitter.Status of this user. | [
"Get",
"the",
"latest",
"twitter",
".",
"Status",
"of",
"this",
"user",
"."
] | def GetStatus(self):
'''Get the latest twitter.Status of this user.
Returns:
The latest twitter.Status of this user
'''
return self._status | [
"def",
"GetStatus",
"(",
"self",
")",
":",
"return",
"self",
".",
"_status"
] | https://github.com/lazylibrarian/LazyLibrarian/blob/ae3c14e9db9328ce81765e094ab2a14ed7155624/lib/pythontwitter/__init__.py#L1127-L1133 | |
ustayready/CredKing | 68b612e4cdf01d2b65b14ab2869bb8a5531056ee | plugins/gmail/lxml/html/diff.py | python | cleanup_html | (html) | return html | This 'cleans' the HTML, meaning that any page structure is removed
(only the contents of <body> are used, if there is any <body).
Also <ins> and <del> tags are removed. | This 'cleans' the HTML, meaning that any page structure is removed
(only the contents of <body> are used, if there is any <body).
Also <ins> and <del> tags are removed. | [
"This",
"cleans",
"the",
"HTML",
"meaning",
"that",
"any",
"page",
"structure",
"is",
"removed",
"(",
"only",
"the",
"contents",
"of",
"<body",
">",
"are",
"used",
"if",
"there",
"is",
"any",
"<body",
")",
".",
"Also",
"<ins",
">",
"and",
"<del",
">",
... | def cleanup_html(html):
""" This 'cleans' the HTML, meaning that any page structure is removed
(only the contents of <body> are used, if there is any <body).
Also <ins> and <del> tags are removed. """
match = _body_re.search(html)
if match:
html = html[match.end():]
match = _end_body_re... | [
"def",
"cleanup_html",
"(",
"html",
")",
":",
"match",
"=",
"_body_re",
".",
"search",
"(",
"html",
")",
"if",
"match",
":",
"html",
"=",
"html",
"[",
"match",
".",
"end",
"(",
")",
":",
"]",
"match",
"=",
"_end_body_re",
".",
"search",
"(",
"html"... | https://github.com/ustayready/CredKing/blob/68b612e4cdf01d2b65b14ab2869bb8a5531056ee/plugins/gmail/lxml/html/diff.py#L557-L568 | |
Ulauncher/Ulauncher | 44735d8d4c2b4b8a8d28f95ab6a6c6d577c859e5 | ulauncher/utils/desktop/reader.py | python | filter_app | (app, disable_desktop_filters=False) | return app and app.get_string('Name') and app.get_string('Type') == 'Application' \
and (app.get_show_in() or disable_desktop_filters) and not app.get_nodisplay() and not app.get_is_hidden() | :param Gio.DesktopAppInfo app:
:returns: True if app can be added to the database | :param Gio.DesktopAppInfo app:
:returns: True if app can be added to the database | [
":",
"param",
"Gio",
".",
"DesktopAppInfo",
"app",
":",
":",
"returns",
":",
"True",
"if",
"app",
"can",
"be",
"added",
"to",
"the",
"database"
] | def filter_app(app, disable_desktop_filters=False):
"""
:param Gio.DesktopAppInfo app:
:returns: True if app can be added to the database
"""
return app and app.get_string('Name') and app.get_string('Type') == 'Application' \
and (app.get_show_in() or disable_desktop_filters) and not app.get... | [
"def",
"filter_app",
"(",
"app",
",",
"disable_desktop_filters",
"=",
"False",
")",
":",
"return",
"app",
"and",
"app",
".",
"get_string",
"(",
"'Name'",
")",
"and",
"app",
".",
"get_string",
"(",
"'Type'",
")",
"==",
"'Application'",
"and",
"(",
"app",
... | https://github.com/Ulauncher/Ulauncher/blob/44735d8d4c2b4b8a8d28f95ab6a6c6d577c859e5/ulauncher/utils/desktop/reader.py#L57-L63 | |
aianaconda/TensorFlow_Engineering_Implementation | cb787e359da9ac5a08d00cd2458fecb4cb5a3a31 | tf2code/Chapter8/code8.4/Code8-9/backend.py | python | moving_average_update | (x, value, momentum) | return moving_averages.assign_moving_average(
x, value, momentum, zero_debias=zero_debias) | Compute the moving average of a variable.
Arguments:
x: A Variable.
value: A tensor with the same shape as `variable`.
momentum: The moving average momentum.
Returns:
An Operation to update the variable. | Compute the moving average of a variable. | [
"Compute",
"the",
"moving",
"average",
"of",
"a",
"variable",
"."
] | def moving_average_update(x, value, momentum):
"""Compute the moving average of a variable.
Arguments:
x: A Variable.
value: A tensor with the same shape as `variable`.
momentum: The moving average momentum.
Returns:
An Operation to update the variable.
"""
zero_debias = not tf2.enab... | [
"def",
"moving_average_update",
"(",
"x",
",",
"value",
",",
"momentum",
")",
":",
"zero_debias",
"=",
"not",
"tf2",
".",
"enabled",
"(",
")",
"return",
"moving_averages",
".",
"assign_moving_average",
"(",
"x",
",",
"value",
",",
"momentum",
",",
"zero_debi... | https://github.com/aianaconda/TensorFlow_Engineering_Implementation/blob/cb787e359da9ac5a08d00cd2458fecb4cb5a3a31/tf2code/Chapter8/code8.4/Code8-9/backend.py#L1595-L1608 | |
asyml/texar-pytorch | b83d3ec17e19da08fc5f81996d02f91176e55e54 | texar/torch/core/attention_mechanism.py | python | monotonic_attention | (p_choose_i: torch.Tensor,
previous_attention: torch.Tensor,
mode: str) | return attention | r"""Compute monotonic attention distribution from choosing probabilities.
Monotonic attention implies that the input sequence is processed in an
explicitly left-to-right manner when generating the output sequence. In
addition, once an input sequence element is attended to at a given output
time step, e... | r"""Compute monotonic attention distribution from choosing probabilities.
Monotonic attention implies that the input sequence is processed in an
explicitly left-to-right manner when generating the output sequence. In
addition, once an input sequence element is attended to at a given output
time step, e... | [
"r",
"Compute",
"monotonic",
"attention",
"distribution",
"from",
"choosing",
"probabilities",
".",
"Monotonic",
"attention",
"implies",
"that",
"the",
"input",
"sequence",
"is",
"processed",
"in",
"an",
"explicitly",
"left",
"-",
"to",
"-",
"right",
"manner",
"... | def monotonic_attention(p_choose_i: torch.Tensor,
previous_attention: torch.Tensor,
mode: str) -> torch.Tensor:
r"""Compute monotonic attention distribution from choosing probabilities.
Monotonic attention implies that the input sequence is processed in an
exp... | [
"def",
"monotonic_attention",
"(",
"p_choose_i",
":",
"torch",
".",
"Tensor",
",",
"previous_attention",
":",
"torch",
".",
"Tensor",
",",
"mode",
":",
"str",
")",
"->",
"torch",
".",
"Tensor",
":",
"# Force things to be tensors",
"if",
"not",
"isinstance",
"(... | https://github.com/asyml/texar-pytorch/blob/b83d3ec17e19da08fc5f81996d02f91176e55e54/texar/torch/core/attention_mechanism.py#L498-L594 | |
andyzsf/TuShare | 92787ad0cd492614bdb6389b71a19c80d1c8c9ae | tushare/datayes/fundamental.py | python | Fundamental.FdmtCFInsu | (self, reportType='', secID='', ticker='', beginDate='', endDate='',
publishDateBegin='', publishDateEnd='', field='') | return _ret_data(code, result) | 1、根据2007年新会计准则制定的保险业现金流量表模板,收集了2007年以来沪深上市公司定期报告中所有以此模板披露的现金流量表数据;(主要是保险业上市公司)
2、仅收集合并报表数据,包括本期和上期数据;
3、如果上市公司对外财务报表进行更正,调整,均有采集并对外展示;
4、本表中单位为人民币元;
5、每季更新。 | 1、根据2007年新会计准则制定的保险业现金流量表模板,收集了2007年以来沪深上市公司定期报告中所有以此模板披露的现金流量表数据;(主要是保险业上市公司)
2、仅收集合并报表数据,包括本期和上期数据;
3、如果上市公司对外财务报表进行更正,调整,均有采集并对外展示;
4、本表中单位为人民币元;
5、每季更新。 | [
"1、根据2007年新会计准则制定的保险业现金流量表模板,收集了2007年以来沪深上市公司定期报告中所有以此模板披露的现金流量表数据;(主要是保险业上市公司)",
"2、仅收集合并报表数据,包括本期和上期数据;",
"3、如果上市公司对外财务报表进行更正,调整,均有采集并对外展示;",
"4、本表中单位为人民币元;",
"5、每季更新。"
] | def FdmtCFInsu(self, reportType='', secID='', ticker='', beginDate='', endDate='',
publishDateBegin='', publishDateEnd='', field=''):
"""
1、根据2007年新会计准则制定的保险业现金流量表模板,收集了2007年以来沪深上市公司定期报告中所有以此模板披露的现金流量表数据;(主要是保险业上市公司)
2、仅收集合并报表数据,包括本期和上期数据;
3、如果上市公司对外财务报表进行更正,调整,均有采... | [
"def",
"FdmtCFInsu",
"(",
"self",
",",
"reportType",
"=",
"''",
",",
"secID",
"=",
"''",
",",
"ticker",
"=",
"''",
",",
"beginDate",
"=",
"''",
",",
"endDate",
"=",
"''",
",",
"publishDateBegin",
"=",
"''",
",",
"publishDateEnd",
"=",
"''",
",",
"fie... | https://github.com/andyzsf/TuShare/blob/92787ad0cd492614bdb6389b71a19c80d1c8c9ae/tushare/datayes/fundamental.py#L157-L169 | |
DataDog/integrations-core | 934674b29d94b70ccc008f76ea172d0cdae05e1e | tokumx/datadog_checks/tokumx/vendor/bson/__init__.py | python | _get_binary | (data, position, obj_end, opts, dummy1) | return value, end | Decode a BSON binary to bson.binary.Binary or python UUID. | Decode a BSON binary to bson.binary.Binary or python UUID. | [
"Decode",
"a",
"BSON",
"binary",
"to",
"bson",
".",
"binary",
".",
"Binary",
"or",
"python",
"UUID",
"."
] | def _get_binary(data, position, obj_end, opts, dummy1):
"""Decode a BSON binary to bson.binary.Binary or python UUID."""
length, subtype = _UNPACK_LENGTH_SUBTYPE(data[position:position + 5])
position += 5
if subtype == 2:
length2 = _UNPACK_INT(data[position:position + 4])[0]
position += ... | [
"def",
"_get_binary",
"(",
"data",
",",
"position",
",",
"obj_end",
",",
"opts",
",",
"dummy1",
")",
":",
"length",
",",
"subtype",
"=",
"_UNPACK_LENGTH_SUBTYPE",
"(",
"data",
"[",
"position",
":",
"position",
"+",
"5",
"]",
")",
"position",
"+=",
"5",
... | https://github.com/DataDog/integrations-core/blob/934674b29d94b70ccc008f76ea172d0cdae05e1e/tokumx/datadog_checks/tokumx/vendor/bson/__init__.py#L190-L221 | |
mrlesmithjr/Ansible | d44f0dc0d942bdf3bf7334b307e6048f0ee16e36 | roles/ansible-vsphere-management/scripts/pdns/lib/python2.7/site-packages/pip/_vendor/html5lib/treebuilders/base.py | python | TreeBuilder.getDocument | (self) | return self.document | Return the final tree | Return the final tree | [
"Return",
"the",
"final",
"tree"
] | def getDocument(self):
"Return the final tree"
return self.document | [
"def",
"getDocument",
"(",
"self",
")",
":",
"return",
"self",
".",
"document"
] | https://github.com/mrlesmithjr/Ansible/blob/d44f0dc0d942bdf3bf7334b307e6048f0ee16e36/roles/ansible-vsphere-management/scripts/pdns/lib/python2.7/site-packages/pip/_vendor/html5lib/treebuilders/base.py#L369-L371 | |
wulczer/txpostgres | bd56a3648574bfd0c24543e4d9e4a611458c2da1 | txpostgres/retrying.py | python | RetryingCall.start | (self, backoffIterator=None, failureTester=None) | return self._deferred | Start the call and retry it until it succeeds and fails.
:param backoffIterator: A zero-argument callable that should
return a iterator yielding reconnection delay periods. If
:class:`None` then :func:`.simpleBackoffIterator` will be
used.
:type backoffIterator: call... | Start the call and retry it until it succeeds and fails. | [
"Start",
"the",
"call",
"and",
"retry",
"it",
"until",
"it",
"succeeds",
"and",
"fails",
"."
] | def start(self, backoffIterator=None, failureTester=None):
"""
Start the call and retry it until it succeeds and fails.
:param backoffIterator: A zero-argument callable that should
return a iterator yielding reconnection delay periods. If
:class:`None` then :func:`.simpl... | [
"def",
"start",
"(",
"self",
",",
"backoffIterator",
"=",
"None",
",",
"failureTester",
"=",
"None",
")",
":",
"self",
".",
"resetBackoff",
"(",
"backoffIterator",
")",
"if",
"failureTester",
"is",
"None",
":",
"failureTester",
"=",
"lambda",
"_",
":",
"No... | https://github.com/wulczer/txpostgres/blob/bd56a3648574bfd0c24543e4d9e4a611458c2da1/txpostgres/retrying.py#L135-L166 | |
bubbliiiing/Semantic-Segmentation | 4cc89a22ffc9018d2b44e69e85672c7bdd1ab706 | deeplab_Mobile/nets/deeplab.py | python | SepConv_BN | (x, filters, prefix, stride=1, kernel_size=3, rate=1, depth_activation=False, epsilon=1e-3) | return x | [] | def SepConv_BN(x, filters, prefix, stride=1, kernel_size=3, rate=1, depth_activation=False, epsilon=1e-3):
if stride == 1:
depth_padding = 'same'
else:
kernel_size_effective = kernel_size + (kernel_size - 1) * (rate - 1)
pad_total = kernel_size_effective - 1
pad_beg = pad_total /... | [
"def",
"SepConv_BN",
"(",
"x",
",",
"filters",
",",
"prefix",
",",
"stride",
"=",
"1",
",",
"kernel_size",
"=",
"3",
",",
"rate",
"=",
"1",
",",
"depth_activation",
"=",
"False",
",",
"epsilon",
"=",
"1e-3",
")",
":",
"if",
"stride",
"==",
"1",
":"... | https://github.com/bubbliiiing/Semantic-Segmentation/blob/4cc89a22ffc9018d2b44e69e85672c7bdd1ab706/deeplab_Mobile/nets/deeplab.py#L16-L43 | |||
google-research/language | 61fa7260ac7d690d11ef72ca863e45a37c0bdc80 | language/conpono/evals/classifier_utils.py | python | LCQMCPairClassificationProcessor.get_labels | (self) | return ["0", "1"] | See base class. | See base class. | [
"See",
"base",
"class",
"."
] | def get_labels(self):
"""See base class."""
return ["0", "1"] | [
"def",
"get_labels",
"(",
"self",
")",
":",
"return",
"[",
"\"0\"",
",",
"\"1\"",
"]"
] | https://github.com/google-research/language/blob/61fa7260ac7d690d11ef72ca863e45a37c0bdc80/language/conpono/evals/classifier_utils.py#L572-L574 | |
PokemonGoF/PokemonGo-Bot-Desktop | 4bfa94f0183406c6a86f93645eff7abd3ad4ced8 | build/pywin/Lib/email/charset.py | python | Charset.to_splittable | (self, s) | Convert a possibly multibyte string to a safely splittable format.
Uses the input_codec to try and convert the string to Unicode, so it
can be safely split on character boundaries (even for multibyte
characters).
Returns the string as-is if it isn't known how to convert it to
U... | Convert a possibly multibyte string to a safely splittable format. | [
"Convert",
"a",
"possibly",
"multibyte",
"string",
"to",
"a",
"safely",
"splittable",
"format",
"."
] | def to_splittable(self, s):
"""Convert a possibly multibyte string to a safely splittable format.
Uses the input_codec to try and convert the string to Unicode, so it
can be safely split on character boundaries (even for multibyte
characters).
Returns the string as-is if it isn... | [
"def",
"to_splittable",
"(",
"self",
",",
"s",
")",
":",
"if",
"isinstance",
"(",
"s",
",",
"unicode",
")",
"or",
"self",
".",
"input_codec",
"is",
"None",
":",
"return",
"s",
"try",
":",
"return",
"unicode",
"(",
"s",
",",
"self",
".",
"input_codec"... | https://github.com/PokemonGoF/PokemonGo-Bot-Desktop/blob/4bfa94f0183406c6a86f93645eff7abd3ad4ced8/build/pywin/Lib/email/charset.py#L277-L297 | ||
pydata/patsy | 5fc881104b749b720b08e393a5505d6e69d72f95 | patsy/missing.py | python | NAAction.is_numerical_NA | (self, arr) | return mask | Returns a 1-d mask array indicating which rows in an array of
numerical values contain at least one NA value.
Note that here `arr` is a numpy array or pandas DataFrame. | Returns a 1-d mask array indicating which rows in an array of
numerical values contain at least one NA value. | [
"Returns",
"a",
"1",
"-",
"d",
"mask",
"array",
"indicating",
"which",
"rows",
"in",
"an",
"array",
"of",
"numerical",
"values",
"contain",
"at",
"least",
"one",
"NA",
"value",
"."
] | def is_numerical_NA(self, arr):
"""Returns a 1-d mask array indicating which rows in an array of
numerical values contain at least one NA value.
Note that here `arr` is a numpy array or pandas DataFrame."""
mask = np.zeros(arr.shape, dtype=bool)
if "NaN" in self.NA_types:
... | [
"def",
"is_numerical_NA",
"(",
"self",
",",
"arr",
")",
":",
"mask",
"=",
"np",
".",
"zeros",
"(",
"arr",
".",
"shape",
",",
"dtype",
"=",
"bool",
")",
"if",
"\"NaN\"",
"in",
"self",
".",
"NA_types",
":",
"mask",
"|=",
"np",
".",
"isnan",
"(",
"a... | https://github.com/pydata/patsy/blob/5fc881104b749b720b08e393a5505d6e69d72f95/patsy/missing.py#L129-L139 | |
jhetherly/EnglishSpeechUpsampler | 1265fa3ec68fa1e662b5d7f9c61ca730f9beee99 | models.py | python | build_downsampling_block | (input_tensor,
filter_size, stride,
layer_number,
act=tf.nn.relu,
is_training=True,
depth=None,
padding='VALID',
tens... | return l | [] | def build_downsampling_block(input_tensor,
filter_size, stride,
layer_number,
act=tf.nn.relu,
is_training=True,
depth=None,
padding='VALID',
... | [
"def",
"build_downsampling_block",
"(",
"input_tensor",
",",
"filter_size",
",",
"stride",
",",
"layer_number",
",",
"act",
"=",
"tf",
".",
"nn",
".",
"relu",
",",
"is_training",
"=",
"True",
",",
"depth",
"=",
"None",
",",
"padding",
"=",
"'VALID'",
",",
... | https://github.com/jhetherly/EnglishSpeechUpsampler/blob/1265fa3ec68fa1e662b5d7f9c61ca730f9beee99/models.py#L176-L214 | |||
saturday06/VRM_Addon_for_Blender | 0fc59703bb203dca760501221d34ecc4a566e64f | io_scene_vrm/editor/vrm0/migration.py | python | migrate_vrm0_first_person | (
first_person_props: bpy.types.PropertyGroup,
first_person_dict: Any,
) | [] | def migrate_vrm0_first_person(
first_person_props: bpy.types.PropertyGroup,
first_person_dict: Any,
) -> None:
if not isinstance(first_person_dict, dict):
return
first_person_bone = first_person_dict.get("firstPersonBone")
if isinstance(first_person_bone, str):
first_person_props.fi... | [
"def",
"migrate_vrm0_first_person",
"(",
"first_person_props",
":",
"bpy",
".",
"types",
".",
"PropertyGroup",
",",
"first_person_dict",
":",
"Any",
",",
")",
"->",
"None",
":",
"if",
"not",
"isinstance",
"(",
"first_person_dict",
",",
"dict",
")",
":",
"retur... | https://github.com/saturday06/VRM_Addon_for_Blender/blob/0fc59703bb203dca760501221d34ecc4a566e64f/io_scene_vrm/editor/vrm0/migration.py#L125-L195 | ||||
bshillingford/python-torchfile | fbd434a5b5562c88b91a95e6476e11dbb7735436 | torchfile.py | python | TorchObject.__dir__ | (self) | return keys | [] | def __dir__(self):
keys = list(self._obj.keys())
keys.append('torch_typename')
return keys | [
"def",
"__dir__",
"(",
"self",
")",
":",
"keys",
"=",
"list",
"(",
"self",
".",
"_obj",
".",
"keys",
"(",
")",
")",
"keys",
".",
"append",
"(",
"'torch_typename'",
")",
"return",
"keys"
] | https://github.com/bshillingford/python-torchfile/blob/fbd434a5b5562c88b91a95e6476e11dbb7735436/torchfile.py#L120-L123 | |||
pencil1/ApiTestManage | 851a54d5629456b7e967e15186244409ddf783cc | app/models.py | python | User.init_user | () | [] | def init_user():
user = User.query.filter_by(name='管理员').first()
if user:
print('The administrator account already exists')
print('--' * 30)
return
else:
user = User(name=u'管理员', account='admin', password='123456', status=1, role_id=2)
... | [
"def",
"init_user",
"(",
")",
":",
"user",
"=",
"User",
".",
"query",
".",
"filter_by",
"(",
"name",
"=",
"'管理员').firs",
"t",
"(",
")",
"",
"",
"if",
"user",
":",
"print",
"(",
"'The administrator account already exists'",
")",
"print",
"(",
"'--'",
"*",... | https://github.com/pencil1/ApiTestManage/blob/851a54d5629456b7e967e15186244409ddf783cc/app/models.py#L126-L137 | ||||
nucleic/enaml | 65c2a2a2d765e88f2e1103046680571894bb41ed | enaml/qt/qt_color_dialog.py | python | QtColorDialog.set_custom_color | (index, color) | Set the custom color for the given index. | Set the custom color for the given index. | [
"Set",
"the",
"custom",
"color",
"for",
"the",
"given",
"index",
"."
] | def set_custom_color(index, color):
""" Set the custom color for the given index.
"""
QColorDialog.setCustomColor(index, color.argb) | [
"def",
"set_custom_color",
"(",
"index",
",",
"color",
")",
":",
"QColorDialog",
".",
"setCustomColor",
"(",
"index",
",",
"color",
".",
"argb",
")"
] | https://github.com/nucleic/enaml/blob/65c2a2a2d765e88f2e1103046680571894bb41ed/enaml/qt/qt_color_dialog.py#L145-L149 | ||
PyHDI/veriloggen | 2382d200deabf59cfcfd741f5eba371010aaf2bb | veriloggen/seq/seq.py | python | Seq.implement | (self) | [] | def implement(self):
if self.as_module:
self.make_module()
return
self.make_always() | [
"def",
"implement",
"(",
"self",
")",
":",
"if",
"self",
".",
"as_module",
":",
"self",
".",
"make_module",
"(",
")",
"return",
"self",
".",
"make_always",
"(",
")"
] | https://github.com/PyHDI/veriloggen/blob/2382d200deabf59cfcfd741f5eba371010aaf2bb/veriloggen/seq/seq.py#L363-L368 | ||||
openstack/neutron | fb229fb527ac8b95526412f7762d90826ac41428 | neutron/db/l3_db.py | python | L3_NAT_db_mixin.disassociate_floatingips | (self, context, port_id, do_notify=True) | return router_ids | Disassociate all floating IPs linked to specific port.
@param port_id: ID of the port to disassociate floating IPs.
@param do_notify: whether we should notify routers right away.
@return: set of router-ids that require notification updates
if do_notify is False, otherwise None. | Disassociate all floating IPs linked to specific port. | [
"Disassociate",
"all",
"floating",
"IPs",
"linked",
"to",
"specific",
"port",
"."
] | def disassociate_floatingips(self, context, port_id, do_notify=True):
"""Disassociate all floating IPs linked to specific port.
@param port_id: ID of the port to disassociate floating IPs.
@param do_notify: whether we should notify routers right away.
@return: set of router-ids that req... | [
"def",
"disassociate_floatingips",
"(",
"self",
",",
"context",
",",
"port_id",
",",
"do_notify",
"=",
"True",
")",
":",
"router_ids",
"=",
"super",
"(",
"L3_NAT_db_mixin",
",",
"self",
")",
".",
"disassociate_floatingips",
"(",
"context",
",",
"port_id",
",",... | https://github.com/openstack/neutron/blob/fb229fb527ac8b95526412f7762d90826ac41428/neutron/db/l3_db.py#L2155-L2171 | |
pandaproject/panda | 133baa47882a289773a30c9656e2ea4efe569387 | panda/models/dataset.py | python | Dataset.import_data | (self, user, upload, external_id_field_index=None) | Import data into this ``Dataset`` from a given ``DataUpload``. | Import data into this ``Dataset`` from a given ``DataUpload``. | [
"Import",
"data",
"into",
"this",
"Dataset",
"from",
"a",
"given",
"DataUpload",
"."
] | def import_data(self, user, upload, external_id_field_index=None):
"""
Import data into this ``Dataset`` from a given ``DataUpload``.
"""
self.lock()
try:
if upload.imported:
raise DataImportError(_('This file has already been imported.'))
... | [
"def",
"import_data",
"(",
"self",
",",
"user",
",",
"upload",
",",
"external_id_field_index",
"=",
"None",
")",
":",
"self",
".",
"lock",
"(",
")",
"try",
":",
"if",
"upload",
".",
"imported",
":",
"raise",
"DataImportError",
"(",
"_",
"(",
"'This file ... | https://github.com/pandaproject/panda/blob/133baa47882a289773a30c9656e2ea4efe569387/panda/models/dataset.py#L180-L225 | ||
dgilland/pydash | 24ad0e43b51b367d00447c45baa68c9c03ad1a52 | src/pydash/helpers.py | python | parse_iteratee | (iteratee_keyword, *args, **kwargs) | return iteratee, args | Try to find iteratee function passed in either as a keyword argument or as the last
positional argument in `args`. | Try to find iteratee function passed in either as a keyword argument or as the last
positional argument in `args`. | [
"Try",
"to",
"find",
"iteratee",
"function",
"passed",
"in",
"either",
"as",
"a",
"keyword",
"argument",
"or",
"as",
"the",
"last",
"positional",
"argument",
"in",
"args",
"."
] | def parse_iteratee(iteratee_keyword, *args, **kwargs):
"""Try to find iteratee function passed in either as a keyword argument or as the last
positional argument in `args`."""
iteratee = kwargs.get(iteratee_keyword)
last_arg = args[-1]
if iteratee is None and (
callable(last_arg)
or... | [
"def",
"parse_iteratee",
"(",
"iteratee_keyword",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"iteratee",
"=",
"kwargs",
".",
"get",
"(",
"iteratee_keyword",
")",
"last_arg",
"=",
"args",
"[",
"-",
"1",
"]",
"if",
"iteratee",
"is",
"None",
"an... | https://github.com/dgilland/pydash/blob/24ad0e43b51b367d00447c45baa68c9c03ad1a52/src/pydash/helpers.py#L236-L251 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.