content stringlengths 35 416k | sha1 stringlengths 40 40 | id int64 0 710k |
|---|---|---|
import re
def findVars(expression):
"""Finds and extracts the variables in an expression using regex pattern matching.
Returns a list of matches in the given string."""
variableRegex = re.compile('[a-zA-Z][a-zA-Z0-9]*')
variables = re.findall(variableRegex, str(expression))
return variables | c794ec2f5e49d0c5cf006d8bbc5718bd28161e49 | 637,646 |
import os
import re
def sanitize_lib_name(library_path):
"""
Get a fully-qualified library name, like /usr/lib/libgfortran.so.3.0, and returns the lib name needed to be
passed to the linker in the -l option (for example gfortran)
:param library_path:
:return:
"""
lib_name = os.path.basen... | da7245e6780dfcfbc9c1694a6968b747ee0870c7 | 637,648 |
def cif2float(cifnum):
"""
Convert a cif-floating point number that may include an uncertainty
indication to a proper floating point number.
In a .cif file the value "0.4254(4)" is a floating point number where
the digit in brackets gives the uncertainty. To convert this number to
a regular Pyt... | ecac9f0aeff17da6b38355cf87c9fcc35a6a025f | 637,649 |
import re
def splitCIGAR(CIGAR):
""" Takes CIGAR string from SAM and splits it into two lists: one with
capital letters (match operators), and one with the number of bases """
matchTypes = re.sub('[0-9]', " ", CIGAR).split()
matchCounts = re.sub('[A-Z]', " ", CIGAR).split()
matchCounts = [in... | e579bb6254ff1edf9378a0fbddd61975f38456d9 | 637,650 |
def set_queued_batch(db, list_url_hash):
"""Try to set batch of urls to queued"""
result = db['Urls'].update_many({'_id': {'$in': list_url_hash}},
{'$set': {'queued': True}})
return result is not None | e9b068219afc619cc2cac0564e364041dc572c9f | 637,651 |
def extend_padding(ls_of_ls, padding=''):
"""
Takes in a lists of lists, returns a new list of lists
where each list is padded up to the length of the longest
list by [padding] (defaults to the empty string)
"""
maxlen = max(map(len, ls_of_ls))
newls = []
for ls in ls_of_ls:
if l... | f9316ae9853f5ced56cf9dbb80abd00b18a72fe3 | 637,652 |
def _crawl(name, mapping):
"""
``name`` of ``'a.b.c'`` => ``mapping['a']['b']['c']``
"""
key, _, rest = name.partition('.')
value = mapping[key]
if not rest:
return value
return _crawl(rest, value) | ac82ab46cce5187ae50c3943b24aa42657f1ffc4 | 637,653 |
def get_enum(key_list, enum_dict):
"""Returns the mcf format of enum dcid list that represents a given value(s).
Used to convert a list of values which map to enums to their appropriate
enum dcid, as given by the enum_dict. For this import, enum_dict is either
ASSOCIATION_ENUM_DICT or EVIDENCE_ENUM_DIC... | defacb5a052459e4d085a3d4c5ec2922fb042542 | 637,654 |
def verileriAl(dosyaAdresi):
"""
dosyaAdresi parametresindeki dosyanın her bir satırını bir listenin elemanı olacak şekilde geri döner.
:param dosyaAdresi: Okunacak dosyanın bilgisayardaki adresi
"""
return [float(i) for i in (open(dosyaAdresi,"r+",encoding="UTF8",errors="ignore"))] | 25d0752519a64cfbd16faa2c162a7909ba08cdb2 | 637,655 |
import re
def loxi_name(ident):
"""
Return the LOXI name of an openflow.h identifier
"""
# Order at the outer level matters as super strings are listed first
rules = [
# The following are for #define macros and have highest precedence
dict(OFP_MAX_TABLE_NAME_LEN = "OF_MAX_TABLE_NAME_LEN")... | 3c9a0e369a6368b105fefc04869ebe7d730866bd | 637,656 |
def rotate_list(alist):
"""Pop the last element of list out then put it into the first of list.
:param alist: A list that want to rotated.
:return alist: A rotated list.
"""
assert type(alist) == list
last = alist.pop()
alist.insert(0, last)
return alist | d3fefe92870aea63e51fff82c274990a0d9151f6 | 637,657 |
def _compile_drop_table(element, compiler, **kwargs):
"""
Drop table cascade with foreignkeys
https://stackoverflow.com/questions/38678336/sqlalchemy-how-to-implement-drop-table-cascade#
"""
return compiler.visit_drop_table(element) + " CASCADE" | afa6364275a2dd4baaab6e45f1ac18a662298179 | 637,658 |
def additive_hash(key):
"""Hash string by adding up the values of the characters."""
if not isinstance(key, str):
raise TypeError("Key must be a string.")
hv = sum(ord(letter) for letter in key)
return hv | 3ab2ec14fb69b634602dab14d6c8042709c27b11 | 637,659 |
def downgrade_sample_rate_of_labels(labels, original_sample_rate, needed_sample_rate):
"""This function downgrades sample rate of provided labels to needed_sample_rate
It is worked through calculating ratio between original_sample_rate and needed_sample_rate
and then thinning provided labels
:par... | 658d97557ae11c9d3b7514f03c309a3cbfe9e18a | 637,660 |
def union(left, right):
""":yaql:union
Returns union of two sets.
:signature: left.union(right)
:receiverArg left: input set
:argType left: set
:arg right: input set
:argType right: set
:returnType: set
.. code::
yaql> set(0, 1).union(set(1, 2))
[0, 1, 2]
"""
... | f917cca8511b5731c84b48da0cc856fc6fedddb8 | 637,661 |
import os
import shutil
def _MoveAndReplaceFile(src_file, target_parent_dir):
"""Moves the file under target directory and replace it if it exists."""
new_file_path = os.path.join(
target_parent_dir, os.path.basename(src_file))
if os.path.exists(new_file_path):
shutil.rmtree(new_file_path)
shutil.mo... | 47577773c681a58be5017dd62464dd40fcd88d5f | 637,662 |
import json
def read_params():
""" Reading the parameters from the JSON file."""
with open("params.json", "r") as f:
data = f.read()
params = json.loads(data)
return params | 99f1e73ce519450e6201d56c792bb522b32d3548 | 637,664 |
def fullname(o):
"""
Gives a full name (package_name.class_name) for a class / object in Python. Will
be used to load the correct classes from JSON files
"""
module = o.__class__.__module__
if module is None or module == str.__class__.__module__:
return o.__class__.__name__ # Avoid reporting __built... | 134d50e292967c89e03b5e8708b6015dba2485a6 | 637,665 |
def Status2Int(protect_status):
"""
returns the int-value related to the input-str
Read / Write := 0
Write protect := 1
"""
rtn_value = 0
if 'yes' in protect_status.lower():
rtn_value = 1
return rtn_value | 827736cf11981d7fc239cab59444b3b21dc246a5 | 637,666 |
def compute_normalized_rho_pars(u, b):
"""Compute normalized rho_0, rho_min given b, u=rho_min/rho_0
Parameters
----------
u : `float`
u = rho_min/rho_0 parameter.
b : `float`
b parameter
Returns
-------
rho_0, rho_min : (`float`, `float`)
"""
rho_0 = ((b + 2)/(... | 186aa4c62812d216edbe2bd2ca309cfbd2c668cd | 637,667 |
def get_Theta_tnk_ss():
"""ソーラーシステムのタンク内温度 (℃)
Args:
Returns:
float: ソーラーシステムのタンク内温度 (℃)
"""
return 65.0 | c41711a24db3876b3d7f4a98bddad53a22c8bc29 | 637,669 |
def authInsert(user, role, group, site):
"""
Authorization function for general insert
"""
if not role:
return True
for k, v in user['roles'].iteritems():
for g in v['group']:
if k in role.get(g, '').split(':'):
return True
return False | e30ab7f7210cf270387aa517218db47e4a828fd3 | 637,670 |
def return_success(data=None):
"""
Generates JSON for a successful API request
"""
if data is None:
return {"success": True}
return {"success": True, **data} | f780a1e2d9c1c6e3b2be20db3b97717d3836adee | 637,671 |
import re
from typing import Counter
def text_entities(text, nlp):
"""Extract entities: Person, Org, Product, Gpe"""
try:
symbol_reg = r'[|,\/,(,),/\n,/:]'
text = re.sub(symbol_reg, ' ', text)
doc = nlp(text)
entities = []
for ent in doc.ents:
entities.appe... | a4b04f104b792d2f20c9e1ea64966d4744a1d445 | 637,672 |
def get_dir_and_name(abs_path_pdf):
""" Return the abs path of pdf directory AND the name of the PDF (without .pdf).
Example of returned dir path: C:/this/is/an/abs/path
"""
if not abs_path_pdf == '':
abs_path_dir = abs_path_pdf[:-4] # remove '.pdf' extension
name = ''
while ab... | 3cde86681095e82212904d44c5f272f679ed4c94 | 637,673 |
def writeInstance(sheet):
"""
写入表头和实例
:param sheet:
:return: True|False 是否写入成功
"""
sheet.write(0, 0, '学号')
sheet.write(0, 1, '姓名')
sheet.write(0, 2, '年龄')
sheet.write(0, 3, '性别')
sheet.write(0, 4, '班级')
# 写入第一行的实例内容
sheet.write(1, 0, '导入数据时,学号必须为空')
sheet.write(1, 1, ... | 74555d82512fcd131be119277c63f7423d66bafa | 637,674 |
import re
def split_by_punc(segment):
"""
splits str segement by
"""
return [s for s in re.split("r\+W", segment) if s and not s.isspace()] | e77da848a0698f245f046611d431fa5987511c90 | 637,675 |
def on_whitespace(s):
"""
Returns tokens taking whitespace as word boundaries
>>> on_whitespace('This is not a test.')
['This', 'is', 'not', 'a', 'test.']
Args:
s: a string
Returns:
list: a list of strings
"""
return s.split() | 25960ed620d77dcc0b4eb723f585a2d4a5d5734e | 637,676 |
def get_user_id(user_id: str) -> str:
"""
Formats the user_id to a plain format removing any <, < or @
:param user_id: slack id format
:type user_id: str
:return: plain user id
:rtype: str
"""
return user_id.strip("<>@") | 7e69ecf3e67607aba947a7980703f50f23d10c5f | 637,677 |
import time
def timer(f, *args):
"""
call f with args
:param f:
:param arg:
:return:
"""
start = time.time()
f(*args)
end = time.time()
return end - start | 9764cd08f3e56e62613a4bd7f752d65e255e6cac | 637,678 |
def converter(temperatures, convert):
"""Returns a sequence that converts each Celsius temperature to Fahrenheit
>>> def convert(x):
... return 9.0*x/5.0 + 32
>>> temperatures = [10, 20, 30, 40, 50]
>>> converter(temperatures, convert)
[50.0, 68.0, 86.0, 104.0, 122.0]
"""
return [co... | 09ca4bff8999b6721e4f9c28767db01016bf0974 | 637,679 |
def _modify_instance_state_response(response_type, previous_state, new_state):
"""
Generates a response for a Start, Stop, Terminate requests.
@param response_type: Cloudstack response.
@param previous_state: The previous state of the instance.
@param new_state: The new state of the instance.
@... | cfb4c84f5cbeaa076f6d7d5ebd384cd1e8f98e99 | 637,680 |
def firmVolumeFrac(volume, shares, sharesUnit=1000):
"""
Fraction of shares turned over
Returns FLOAT
"""
# SHROUT in thousands
shares_out = shares * sharesUnit
return volume / shares_out | e1c4c27d41ee2f13fd68a0451a1d07b24c67b139 | 637,681 |
def clean_specie_name(specie_str: str) -> str:
"""
Clean up the species name from '<element>\xa0<roman number for oxidation state>'
to '<element>'
"""
return specie_str.split("\xa0")[0] | fd5f435982fca9471b08cf02b217fd849c38fee6 | 637,682 |
def is_integer(value, cast=False):
"""Indicates whether the given value is an integer. Saves a little typing.
:param value: The value to be checked.
:param cast: Indicates whether the value (when given as a string) should be cast to an integer.
:type cast: bool
:rtype: bool
.. code-block:: p... | c2fd05d572be8cd799480e953b0282c59b24c649 | 637,683 |
def _GetPropertyValue(dtb, node, prop_name):
"""Low-level function to get the property value based on its offset
This looks directly in the device tree at the property's offset to find
its value. It is useful as a check that the property is in the correct
place.
Args:
node: Node to look in... | 9903ae4da8cab3e7bb2aa5c7ffa1869ef928084e | 637,684 |
def ConvertPrivateIpv6GoogleAccess(choice):
"""Return PrivateIpv6GoogleAccess enum defined in mixer.
Args:
choice: Enum value of PrivateIpv6GoogleAccess defined in gcloud.
"""
choices_to_enum = {
'DISABLE':
'DISABLE_GOOGLE_ACCESS',
'ENABLE_BIDIRECTIONAL_ACCESS':
'ENABLE_BIDI... | fa7520e364d7b489c04015acc88637c1c92571cd | 637,685 |
def _bitcmp(bit, bit_ref, wildcard='x'):
"""
Compares the string representation of a binary number ignoring any bits
on the reference string 'bit_ref' marked with a wildcard.
"""
bit = bit.replace('0b', '')
bit, bit_ref = list(bit), list(bit_ref)
bit.reverse(); bit_ref.reverse() # Start comp... | 0f14022f369e5bf4dd9dbb292c95082a795c894f | 637,686 |
import random
def random_saturation(im, lower=0.5, upper=1.5):
"""Random change saturation
Args:
im(numpy.array): one H,W,3 image
lower(float): change lower limit
upper(float): change upper limit
"""
if random.random() < 0.5:
im[:, :, 1] *= random.uniform(lower, u... | f81fe55559afc28a727622426f90475fea5d0fa5 | 637,687 |
import inspect
def in_main_process():
"""Whether current process is worker process or main process.
"""
for frameinfo in inspect.stack():
if "spawn_main" == frameinfo.function:
return False
return True | f87c7a54baf154620b26af76015d9d40c74cc2fb | 637,688 |
def make_complex_matrix(m):
"""
Transforms a block 2x2 matrix of real and imaginary part into a complex matrix
:param m: block 2x2 real matrix as numpy/scipy array
:return: complex matrix as numpy/scipy array
"""
return m[:m.shape[0]/2, :m.shape[1]/2] + 1j * m[m.shape[0]/2:, :m.shape[1]/2] | 143db8755d2cf5258bc7bae4786bc6c4edd9230d | 637,689 |
from datetime import datetime
def fmt_timestamp(ts=None):
"""
Jinja filter to format date/time from timestamp.
"""
if ts is None:
return 'no-timestamp'
dt = datetime.fromtimestamp(int(ts))
pretty_time = dt.strftime('%m/%d/%y %I:%M %p')
return pretty_time | ccd30f229532ff1f26d35a79a44526e606c87e13 | 637,690 |
def get_coverage(method, method_dict, coverage=None, chain=None):
"""Recursively chase down coverage for a method, returning a list of what is covered"""
# recursion safety
if not chain:
chain = []
elif method in chain:
return method_dict[method].get("covers")
else:
chain.app... | 38905c18d9f0739265c754b7c4fac8db4af00b2e | 637,691 |
def calculateHammingSyndrom(byte):
"""Calculates hamming syndrom"""
#S0 = C1 xor C3 xor C5 xor C7 xor C9 xor C11
S0 = str(
int(byte[1]) ^
int(byte[3]) ^
int(byte[5]) ^
int(byte[7]) ^
int(byte[9]) ^
int(byte[11])
)
#S1 = C2 xor C3 xor C6 xor C7 xor ... | 2c4eae1dbba90eb58647ff6dc152907b25b99a05 | 637,692 |
import os
def set_file_names(project, version):
"""
Infer input tsv and scp_bq_inputs.json file locations from project, version info
If input tsv doesn't exist, exit
If scp_bq_inputs.json doesn't exist, exit
If metadata convention file already exists, exit
"""
inputname = f'../schema/{proj... | 86dead4c22407d2966a151499136fdbc2e125882 | 637,693 |
import codecs
def load_utf8(filename):
"""Load UTF8 file."""
with codecs.open(filename, 'r', encoding='utf-8') as f:
return f.read() | 9ce0f51879b2bc4b83690fb06a0353c3c73235cb | 637,694 |
def build_info(file_name, meta_features):
"""Builds the info of a dataset in a presentable manner"""
info = {'dataset': int(file_name[:-5])}
for feat_name, value in meta_features.items():
new_name = feat_name.replace("_", " ")
info[new_name] = value
return info | 8e8291fb17034afe14274e4955e48a630c03dfe7 | 637,695 |
def formset_model_name(value):
"""
Return the model verbose name of a formset
"""
try:
return value.model._meta.verbose_name
except AttributeError:
return str(value.__class__.__name__) | 8222cd9eeb2bf2e5b01ce570e7e0937a87bd4a3f | 637,696 |
import os
import subprocess
def submit_given_jobs(shfile, logger, mt, mm, cores, env=""):
"""
for a given sh file, submit to cluster, return job id
"""
sample_name = shfile.split(".")[0].split("_")[-1]
sh_dir = os.path.dirname(shfile)
log_f = os.path.join(sh_dir, f"Mut_count_{sample_name}.log"... | 60183a716bf25097390583c1b6836c7200e0b76d | 637,697 |
import time
def utc_local_time_shift():
"""
Return the expected time shift in seconds assuming the server
uses UTC in its listings and the client uses local time.
This is needed because Pure-FTPd meanwhile seems to insist that
the displayed time for files is in UTC.
"""
utc_tuple = time.g... | 35fdbb2f7b905b2b1b897162969f91b8f2d411f5 | 637,698 |
def switch_block(LIB) -> str:
"""Returns hash of most next switch.
"""
return LIB.get_switch_block() | 1206d4625d2039a95dc7cfac916cf82008790e56 | 637,699 |
def train_test_split(features, target, split_ts):
"""
Splits all provided TimeSeries instances into train and test sets according to the provided timestamp.
Parameters
----------
features : TimeSeries
Feature TimeSeries instances to be split.
target : TimeSeries
Target TimeSerie... | 0d803476cc53f35f9b1171e1835366e408741442 | 637,700 |
def password(request):
"""The password to use for fetching."""
return request.config.getoption("--password") | 05acf2e56fc2fd5f8b8382ff12d5f670a7f1c379 | 637,701 |
import colorsys
def hs_to_hex(hue: float, saturation: float) -> str:
"""Convert hue and saturation to a string hex color."""
rgb = colorsys.hsv_to_rgb(hue / 100, saturation / 100, 100)
return "#{:02x}{:02x}{:02x}".format(
round(rgb[0]), round(rgb[1]), round(rgb[2])
).upper() | ad47cb84c4d656584b2051a66281aeb858bc7b80 | 637,702 |
def phi(x, y, ck, i):
"""
The linear basis functions
Parameters
----------
x : np.array
x-values.
y : np.array
y-values.
ck : np.array
basis function coef. matrix.
i : int
which basis function to use.
Returns
-------
numpy.array
basis... | 0277396c935ca9af555d9f253808227cf295c647 | 637,703 |
def convert_to_binary(decimal) -> str:
"""
Converts Decimal numbers into Binanry Digits
"""
binary = bin(decimal).replace("0b", "")
return binary | 604ce5b785d6f655da86cf3f55882b8a79d6bfd2 | 637,704 |
def performance_measure(y_true, y_pred):
"""
Compute the performance metrics: TP, FP, FN, TN
Args:
y_true : 2d array. Ground truth (correct) target values.
y_pred : 2d array. Estimated targets as returned by a tagger.
Returns:
performance_dict : dict
Example:
>>> f... | 83d2382cc35836275ebfc4badfbc023bb9a9340c | 637,707 |
import torch
def prep_images(images):
"""
preprocess images
Args:
images: pytorch tensor
"""
images = images.div(255.0)
images = torch.sub(images,0.5)
images = torch.mul(images,2.0)
return images | 5faa9cc5f5fe33b56719437329fd213b5325fab5 | 637,708 |
def source_type_normalize(source_type):
"""
Make it easier to ignore small inconsistencies in these key word arguments.
>>> source_type_normalize("journals")
'journal'
>>> source_type_normalize("Journal")
'journal'
"""
ret_val = None
normal = {"journals": "journal",
"... | e4aa0a5e59eca8498f318f8f7204da9cb864475a | 637,709 |
def is_valid_team(team: str) -> bool:
"""Filters out players who played for multiple teams, were primarly on
the practice squad, or were free agents.
Args:
team_col (str): Name of the column indicating the player's team
"""
invalid_team_values = ["", "2TM", "3TM", "4TM"]
if team in i... | 1c8dac199c0161db1fd91558388c2e4a4f2d2e94 | 637,710 |
from unittest.mock import Mock
def sqs_client_mock():
"""
:rtype: Mock
"""
client = Mock(spec=['delete_message', 'get_queue_url', 'receive_message'])
client.get_queue_url.return_value = {'QueueUrl': '__dummy_url__'}
return client | a0264c491c3c2139b36b754397126bba05fe9d11 | 637,711 |
import os
def is_running_on_actions():
# type: () -> bool
"""Returns True when running on GitHub Actions"""
# See the following document on which environ to use for this purpose.
# https://docs.github.com/en/free-pro-team@latest/actions/reference/environment-variables#default-environment-variables
... | 4280873ef41c097335d75b64ad06e29078839233 | 637,712 |
import configparser
def get_defaults():
"""This reads the config file to return two lists of values, which will be the default values for the fields.
Since we are zipping the defaults and the controls, you *must* add a default value for any new control.
Otherwise, the control won't be created."""
conf... | 2a6e6f3f3d480acb03f85b1daf67896b48decc11 | 637,713 |
def fmt_build_map_unpack_with_call(vm, arg, repr=repr):
"""returns string of the repr() for the first element of
the evaluation stack
"""
# See corresponding comment in BUILD_MAP_UNPACK_WITH_CALL
if vm.version == 3.5:
fn_pos, count = divmod(arg, 256)
fn_pos = count + fn_pos
else:... | 9afeef38df69a1b5a9a7ec40f079f0f3a5d92981 | 637,714 |
def csdele(self, kcn1="", kcn2="", kcinc="", **kwargs):
"""Deletes local coordinate systems.
APDL Command: CSDELE
Parameters
----------
kcn1, kcn2, kcinc
Delete coordinate systems from KCN1 (must be greater than 10) to
KCN2 (defaults to KCN1) in steps of KCINC (defaults to 1). If ... | 6a6847079506af51cd7fa3e5c1c17ab59f6c93df | 637,715 |
import logging
def get_new_parameter_list_for_update(stack, expected_value, new_value, parameter_to_change, force=False):
"""
Given a list of possible parameter names, generate a new parameter list with
existing_value changed to new_value
:param stack: the stack to mine the parameter list from
:pa... | 49dc28b884ec77e7920b9c04cb3789dc813aa130 | 637,716 |
import itertools
def nth(iterable, n, default=None):
""" Returns the nth item or a default value.
This code is mildly adapted from the documentation.
N.B. This returns the *base-0* nth item in the iterator. For example,
nth(range(10), 1) returns 1.
"""
return next(itertools.islice(iterable,... | c55431eaaee29c323e5f05d3049572b65813b029 | 637,717 |
def _num_to_list(num, length):
"""
258, 2 -> [1,2]
:param int num:
:param int length:
:rtype: list
"""
output = []
for l in range(length):
output = [int((num >> 8*l) & 0xff)]+output
return output | d48d257052d99370761ef19390ed67184bef6a43 | 637,718 |
def SEAIR_D(t, population, initial_conditions, Ro, start_intervention=10, intervention_duration=50):
"""
Esta parte de código es la que implementa las ecuaciones diferenciales.
Se resuelven por medio de integración númerica de Euler
"""
initial_cases = initial_conditions['initial_cases']
expo... | 36907df5d04bdf605ce64f83041b1de8e85c185c | 637,719 |
def _get_prep_params(data):
"""Retrieve configuration parameters with defaults for preparing BAM files.
"""
algorithm = data["config"]["algorithm"]
dup_param = algorithm.get("mark_duplicates", True)
dup_param = "picard" if dup_param is True else dup_param
recal_param = algorithm.get("recalibrate... | 9c6e63525618778644173c1bcd0fff13322b8890 | 637,721 |
import asyncio
async def compute_fancy_greeting(name: str, seen: int):
"""
Compute a personalized greeting, based on the number of times this @name had been seen before.
"""
templates = ["", "Welcome %s", "Nice to see you again %s", "Third time is a charm %s"]
if seen < len(templates):
gre... | 45c9159e4ac724c6df4c4e86807c3fd8d2397eee | 637,722 |
def transform(data, median, var_25_75):
"""Scale data using robust estimators.
Scale the data by subtracting the median and dividing by the
variance, i.e. the difference between the 75th and 25th percentiles.
Parameters
----------
data : pandas DataFrame, shape (n_spectra, n_freq_point... | 91b74ec87ec9cf65e4accb7a3ebd02d3ab7a7e5e | 637,723 |
def extract_trigram_from_doc(doc):
"""
The function receives a (parsed) spaCy document and is expected to return
a tuple of tokens representing the first three tokens from the question.
The function returns None if a trigram cannot be extracted (e.g. the
question is too short. Some questions have m... | 4ee353cc04cf3c85975a62d1746a6946301f0d40 | 637,724 |
def get_tags(entities):
"""
Args:
entities (Iterable[Entity]): the entities in a sentence
Returns:
Set[str]: a set of their tags, excluding 'O'
"""
return {entity.tag for entity in entities} - {'O'} | 21cbdeca18d9c8a3dc367db33b41e47c7e6905c6 | 637,725 |
def super_overridden(cls):
"""
This decorator just serves as a reminder that the super function behaves
differently. It doesn't actually do anything, that happens inside
``classhook.hook_class``.
"""
cls.__rootpy_have_super_overridden = True
return cls | 0a453370cb5342b4bb8ddd4259ad62db04580862 | 637,727 |
def g(x, y):
"""
A multivariate function for testing on.
"""
return -x**2 + y | a134054e8731bd81c2f91980e71ede051dfc305f | 637,728 |
def verb_check(tag):
"""
:param tag: a string representing a POS-TAG
:return: boolean if the given tag belongs to the verb class
"""
return tag in ['VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ'] | 3aeafc50f854c8a630c0702d2221d87315e6bc40 | 637,729 |
import os
def enc_zip(rootdir):
"""Returns an EncryptedZipFile instance with a test zip"""
test_zip = os.path.join(rootdir, "cats.zip")
return test_zip | cd686f967404a76e4a26d8d5d6cf062390e51f01 | 637,730 |
from pathlib import Path
import os
def load_noimage_group():
"""グループのNoImage画像を取得します"""
noimage_group_path = (
Path(os.path.dirname(__file__)) / "app/static/noimage_group.png"
)
with open(noimage_group_path, "rb") as f:
noimage_group = f.read()
return noimage_group | 1bd16a25d6c76d0bd48935b2a2025246a3e2215d | 637,731 |
def parse_connector_version(version):
"""Parse a connector version string into a tuple (hadoop version, major version, minor version, patch version, release candidate)."""
hadoop_version, version = version.split("-", maxsplit=1)
hadoop_version = int(hadoop_version[6:])
release_candidate = None
if "... | 60a8c817e7d725d9b07201e2e4276c52e2932d39 | 637,732 |
def supports(codec):
"""
Return a list of strings indicating supported operations.
"""
if hasattr(codec, 'encode') and hasattr(codec, 'decode'):
return ['encoding', 'decoding']
elif hasattr(codec, 'encode'):
return ['encoding']
elif hasattr(codec, 'decode'):
return ['deco... | 98b66790b51d054ee030acb95d787478270a2061 | 637,733 |
import torch
def gauss_interp(pc1, pc2, pc1_value, sigma, conservation=True):
"""
:param pc1: (batch, 3, num_points)
:param pc2: (batch, 3, num_nodes)
:param pc1_value: (batch, channel, num_points)
:param sigma: float
:return: (batch, channel, num_nodes)
"""
weight = torch.exp(-(pc2.un... | 047904b43476588fbf6e9c9b9c468ae2944811ee | 637,734 |
def simple_compare_dict(dict1, dict2):
""" accepts multi-level dictionaries
compares values as strings, will not report type mismatch
"""
if sorted(dict1.keys()) != sorted(dict2.keys()):
return False
for key, value in list(dict1.items()):
if isinstance(value, dict):
... | b8301aa9553b1080a4489b814495e0ee0514b46f | 637,735 |
def vertices_generation(number_of_vertices):
"""
Generate the vertices list
:param number_of_vertices:
:return: vertices list in format [0, 1, 2, 3...]
"""
# here, the list is much more efficient than set
return [s for s in range(1, number_of_vertices + 1)] | 3b05d7711092bb094bf214d94c4237b0a8c12ccc | 637,736 |
def norm2d_cx(cx, in_c, trainable=True):
"""Accumulates complexity of norm2d into cx = (h, w, flops, params, acts)."""
c, params = cx["c"], cx["params"]
assert c == in_c
cx["params"] += 4 * c
cx["freeze"] += 2 * c # moving_mean, variance
if trainable is False:
cx["freeze"] += 2 * c # b... | 437ea738f87fd74765aaf25cb351a8008a06d1ec | 637,738 |
def compute_parity_log(x):
"""use the property of p(00110101) = p(0011^0101) to cut the input size into half each time
until you get to 1 bit, or the smallest size and use cache to get the result directly.
half the input size each time, so O(log n) where n is the word size
"""
# assuming on 64 bit m... | e3f836662fa112b1982f4061d379ad1c1ac0d457 | 637,739 |
def parse_ids_names(ids__names):
"""Parse ids__models list."""
ids = [int(i) for i in ids__names if i.isdigit()]
return ids, ids__names | 41879c27e011d03818861fe83bbdde8847dcb191 | 637,740 |
def get_E_pump_hs_d_t(E_pump_SW_d_t, E_pump_gsRW_d_t):
"""日付dの時刻tにおける1時間当たりのポンプの消費電力量 (8)
Args:
E_pump_SW_d_t(ndarray): 日付dの時刻tにおける1時間当たりの送水ポンプの消費電力量(kWh/h)
E_pump_gsRW_d_t(ndarray): 日付dの時刻tにおける1時間当たりの熱源水ポンプの消費電力量(kWh/h)
Returns:
ndarray: 日付dの時刻tにおける1時間当たりのポンプの消費電力量(kWh/h)
"""
... | d99d537afed9e06ba5fa87f41340301d2f9d9900 | 637,741 |
def txt_category_to_dict(category_str):
"""
Parameters
----------
category_str: str of nominal values from dataset meta information
Returns
-------
dict of the nominal values and their one letter encoding
Example
-------
"bell=b, convex=x" -> {"bell": "b", "convex": "x"}
""... | d7a4e6c0e3e08fcc3af56d3408b722f99e522a07 | 637,743 |
def decode(val):
"""Try to decode a string, and don't stop code execution if it fails.
Args:
val (str): Should be a string.
Returns:
str: Should also be a string.
"""
if val is None or str(val) == str(''):
return None
if str(str(val).strip()) == str('NULL'):
re... | 19c1ac546bf6ca4f227393874c827e59d77a3c66 | 637,744 |
import logging
def get_logger(name):
"""Returns a customized logging object.
Multiple calls to with the same name will always return a reference to the same Logger object.
Args:
name (str): Dot-separated hierarchical name for the logger.
Returns:
Logger: An instance of :any:`logging... | 44996c138119696ec0f9ae5a3f659bfee4efa168 | 637,745 |
def derive_http_method(method, data):
"""Derives the HTTP method from Data, etc
:param method: Method to check
:type method: `str`
:param data: Data to check
:type data: `str`
:return: Method found
:rtype: `str`
"""
d_method = method
# Method not provided: Determine method from ... | 9fd1941c2de86fdf3a06eb05a6e7046705cb4cd3 | 637,746 |
def get_pending_active_nodes(**output_dict):
"""
Get the pending active node information, no deadnet info is available
"""
out_dict = {}
node_count = 0
response_json = output_dict['ListPendingActiveNodes']
for node in response_json['result']['pendingActiveNodes']:
node_id = str(node[... | 5deca4cb47a354d1eb15f4c62f4cdc58b92b43c1 | 637,747 |
def headers_to_json(headers) -> list[dict]:
"""
For getting a usable header array for the ui
:param headers: Headers as a tuple array
:return: Headers as a json object array with attributes for key and value
"""
res = []
for header in headers:
value = '<unsupported encoding>'
... | b28391c5fa642fc119f62c974ba950e00c42a36f | 637,748 |
import time
def encode_tag(prefix, time_tuple, time_format):
""" Create a [prefix:time] playlist tag using specified time formatting.
Args:
prefix ::: (str) unique identifier for playlist series
time_tuple ::: (`time.struct_time` instance) time to encode in tag
time_format ::: (str) f... | 66dbf81bc424bdb2f8abed47c8cab527c034c6ee | 637,750 |
def drop_dupes(sequence):
"""Drop duplicate elements from a list or other sequence.
C.f. https://stackoverflow.com/a/7961390
"""
orig_type = type(sequence)
return orig_type(list(dict.fromkeys(sequence))) | ff8380212264eb2fa4aa3f3fbc747c9e41f22984 | 637,752 |
def wmlfindin(element, scopeElement, wmlItor):
"""Find an element inside a particular type of scope element"""
for itor in wmlItor.copy():
if element == itor.element:
if itor.scopes:
if scopeElement == itor.scopes[-1].element:
return itor
elif ... | e82282c0d78934b06fedecbcbe624d990e9ad8dc | 637,753 |
def solution(n: int) -> int:
"""[summary]
자연수 n이 주어질 때, 다음 큰 수를 구하시오
다음 큰 수:
1) n보다 큰 자연수
2) n과 다음 큰 수는 2진수 변환시 1의 갯수가 같다
3) 1)2)를 만족하는 가장 작은 자연수
Args:
n (int): 10^6 이하의 자연수
Returns:
int: n의 다음 큰 수
"""
target = sum(map(int, format(n, "b")))
i = n + 1
... | 2b795ef9b87fc837353146d98b86d56d3e0b9afe | 637,754 |
def kcalc(self, kplan="", mat="", kcsym="", klocpr="", **kwargs):
"""Calculates stress intensity factors in fracture mechanics analyses.
APDL Command: KCALC
Parameters
----------
kplan
Key to indicate stress state for calculation of stress intensity
factors:
0 - Plane stra... | 7c8b1cd90c756878590ffadad397f5bd760c560d | 637,755 |
import logging
def get_logger(cls):
"""
Generate a logger object by the given class. The logger name will be the full qualified class name.
@param cls: A class to generate the logger.
@type cls: C{class}
@return: A logger by the given class.
@rtype: U{Logger<http://docs.python.org/2/library/lo... | c601cdd61614774dd3b8ac2b6d4676b0bef14d01 | 637,757 |
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