content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import hashlib
def get_sign(data_dict, key):
"""
签名函数
:param data_dict: 需要签名的参数，格式为字典
:param key: 密钥 ，即上面的API_KEY
:return: 字符串
"""
params_list = sorted(data_dict.items(), key=lambda e: e[0], reverse=False) # 参数字典倒排序为列表
params_str = "&".join(u"{}={}".format(k, v) for k, v in params_lis... | ea7ee65cd3ae72e19293dc851255bc0f3ad4b321 | 29,100 |
def string():
"""String representation."""
return "{:s}".format('something') | d13ae4fe229f767c515b0f0d6439ac61c6bfdbe8 | 29,101 |
def find_films_in_location(films: pd.DataFrame) -> pd.DataFrame:
"""finds films filmed in certain location
Args:
films (pd.DataFrame): films with their locations
Returns:
pd.DataFrame: films which were filmed in certain location
"""
films.dropna(inplace=True)
# change for more ... | 91801357aab19e2a263951907fe74f114b833f68 | 29,102 |
from typing import Any
import yaml
import os
def get_saved_schemas() -> Any:
"""Lists file and display names of all saved schemas.
File extensions are stripped, and the names are sorted.
Returns:
A JSON response.
"""
schema_paths = sorted(p for p in SCHEMA_DIR.glob("*.yaml"))
display... | f7fe9dbac9975bc7d8223dc9fade317c4e17005c | 29,103 |
def _if_installed(pname):
"""Run if the given program name is installed.
"""
def argcatcher(func):
def decorator(*args, **kwargs):
envs = [x for x in args if hasattr(x, "system_install")]
env = envs[0] if envs else None
if shared.which(pname, env):
... | 63eb3a0a3c2b2b6c7370ee4db449e6e3e1d2c84e | 29,104 |
def check_gym_environments(env: gym.Env) -> None:
"""Checking for common errors in gym environments.
Args:
env: Environment to be checked.
Warning:
If env has no attribute spec with a sub attribute,
max_episode_steps.
Raises:
AttributeError: If env has no observati... | 95d3a3b7804981cb8308269580359111b257eefe | 29,105 |
def WI(bands: dict) -> xr.DataArray:
"""
Water Index (2015): Fisher et al. (2016)
Args:
bands (dict): Bands as {band_name: xr.DataArray}
Returns:
xr.DataArray: Computed index
"""
return (
1.7204
+ 171 * bands[obn.GREEN]
+ 3 * bands[obn.RED]
- 70 ... | 400c7277d5d7cca07df7953b0db957f3d4fdfd0a | 29,106 |
import io
def readZipData(filePath):
"""
Opening the zip file in READ mode and transform scalars.csv to data frame
:param filePath: path to zip-file
:return: data frame with scalars.csv content
"""
with ZipFile(filePath.as_posix(), 'r') as zip:
scalars = None
for i in zip.namel... | 2efd90426366754454f13a8c5e9e61ed2a1c150d | 29,107 |
def calc_relative_scale(skeleton, ref_bone_lengths, joint_tree) -> (float, float):
"""Calculate the factor by which the reference is larger than the query skeleton.
Args:
skeleton (torch.DoubleTensor): The query skeleton.
ref_bone_lengths (torch.DoubleTensor): The reference skeleton bone length... | cf1bbf2692666e393eb50eeb4ae9d0724af78c7f | 29,108 |
def vertical_move(t, v_speed=2/320):
"""Probe moves vertically at v_speed [cm/s]"""
return 0.*t, 0*t, v_speed*t | eb6a066bf6b6659728647c78dd7673a3d45b250d | 29,109 |
def get_favored_peaks(rama_key):
"""
returns exact favored peaks with their score value
"""
assert rama_key in range(6)
if rama_key == RAMA_GENERAL:
return [((-115.0, 131.0), 0.57068),
((-63.0, -43.0), 1.0),
((53.0, 43.0), 0.323004),
((53.0, -127.0), 0.0246619)]
if r... | 79bf814becbbf36796e229f69d0a99cd8ef1716e | 29,110 |
def get_all_tablespace_acls(conn):
"""
Returns:
List of :class:`~.types.RelationInfo` objects.
"""
return [RelationInfo(**row) for row in conn.execute(_pg_tablespace_stmt)] | 561514b7986d374ba1dc7a4addf4d0588b53e59b | 29,111 |
import regex
def chunk_pars(content):
"""Given the context contained between `\\beginnumbering` and
`\\endnumbering`, return list of paragraphs.
This is able to handle paragraphs demarcated by `\\pstart` and `\\pend` as
well as when `\\autopar` is used (see §5.2.2 of the reledmac
documentation). ... | 958890791c67c90a9ed3264e82caca9bfebb5885 | 29,112 |
def bound():
""" Generate boundary for testing"""
bound = data.Boundary()
bound.degree = 3
bound.start = np.array([0.0, 0.0, 0.0])
bound.end = np.array([1.0, 0.0, 0.0])
bound.num_ctrlpts = 5
return bound | 210636e3e0618ff8b5ffd48b48f4aa035a38e928 | 29,113 |
from typing import Union
def to_tensor(pic: Union[Image, np.ndarray]) -> Tensor:
"""Convert a ``PIL Image`` or ``numpy.ndarray`` to tensor."""
if not (F_pil._is_pil_image(pic) or _is_numpy(pic)):
raise TypeError(f"input pic should be PIL image or numpy.ndarray, Got {type(pic)}")
if _is_numpy(pic) ... | 26040d594cee200200945d7561bc9e6bcda95f01 | 29,114 |
import numpy
def dummy_image():
"""Create a dummy image"""
x = numpy.linspace(-1.5, 1.5, 1024)
xv, yv = numpy.meshgrid(x, x)
signal = numpy.exp(- (xv ** 2 / 0.15 ** 2 + yv ** 2 / 0.25 ** 2))
# add noise
signal += 0.3 * numpy.random.random(size=signal.shape)
return signal | 8cbf5f31cde69b8ac775114277cee8f88d6dd932 | 29,115 |
import os
def GetPicList(basedir):
"""
base_dir
-> batch1
-> we
-> want
-> these
-> images
-> batch2
"""
filename = ''
for name in os.listdir(basedir):
if not name.startswith('.'):
filename = name
bre... | de671e7f336e59999f89dd8f3ead2d4bfb059907 | 29,116 |
def text_coloured_errors(tree,
gold=None,
depth=0,
single_line=False,
missing=None,
extra=None,
compressed=True,
POS=True):
"""Pretty print, with errors marked using colour.
'missing' should contain tuples (or be None):
(start, end, label, crossing-T/F)
"""
# TODO: Add the ability to compress the s... | 4eb7555ade29b478c2d526be0d84a5a68047a1ee | 29,117 |
def update_user(uid, **kwargs):
"""Updates an existing user account with the specified properties.
Args:
uid: A user ID string.
kwargs: A series of keyword arguments (optional).
Keyword Args:
display_name: The user's display name (optional). Can be removed by explicitly passing
... | 0b52b7e42f286861b43e6e2e25a9547b1cd354d7 | 29,118 |
def add_center_dist(nusc: NuScenes,
eval_boxes: EvalBoxes):
"""
Adds the cylindrical (xy) center distance from ego vehicle to each box.
:param nusc: The NuScenes instance.
:param eval_boxes: A set of boxes, either GT or predictions.
:return: eval_boxes augmented with center dista... | 5a0c09f9de689efe294a6ce500ba4dbf09885149 | 29,119 |
def check_address(btc_addr, network='test'):
""" Checks if a given string is a Bitcoin address for a given network (or at least if it is formatted as if it is).
:param btc_addr: Bitcoin address to be checked.
:rtype: hex str
:param network: Network to be checked (either mainnet or testnet).
:type n... | 9f236f5d6ccf2f28944c577e2ce8fbfb2c2a58b8 | 29,120 |
import time
def format_time(record):
"""Format time to ISO 8601.
https://en.wikipedia.org/wiki/ISO_8601
"""
utc_time = time.gmtime(record.created)
time_string = time.strftime('%Y-%m-%d %H:%M:%S', utc_time)
return '%s.%03dZ' % (time_string, record.msecs) | ea07736965711a214a738f5443f68cf02e20fcb2 | 29,121 |
def _cb_decode(s, maxsize=8192):
"""Decode a list of IDs from storage in a cookie.
``s`` is text as encoded by ``_cb_encode``.
``maxsize`` is the maximum size of uncompressed data. ``0`` means no limit.
Return a list of text IDs.
"""
dec = decompressobj()
squashed = unquote(s).encode('lati... | bf1239cf33bf83b1163d96641a20e4adc3e83221 | 29,122 |
def validate_model(df, fix=False):
"""
Validates the form of a model dataframe. A model dataframe must look something like this:
pos val_A val_C val_G val_T
3 1.1 4.3 -6.19 5.2
4 0.01 3.40 -10.5 5.3
5 0 1.4 10.9 231.0
A 'po... | 81c8663934c2ae33318635dd68939cff5652912b | 29,123 |
def create_training_instances(input_files, tokenizer, max_seq_length,
dupe_factor, short_seq_prob, masked_lm_prob,
max_predictions_per_seq, rng):
"""Create `TrainingInstance`s from raw text."""
all_documents = [[]]
# Input file format:
# (1) One sente... | 0274db246e701ac1da78564707c851c9e295a21e | 29,124 |
def cdgmm(A, B, inplace=False):
"""Complex pointwise multiplication.
Complex pointwise multiplication between (batched) tensor A and tensor B.
Parameters
----------
A : tensor
A is a complex tensor of size (B, C, M, N, 2).
B : tensor
B is a compl... | c3a65ec03339edd0defe723fc860ff9f54495eda | 29,125 |
def InvocationStartEncKeyVector(builder, numElems):
"""This method is deprecated. Please switch to Start."""
return StartEncKeyVector(builder, numElems) | c00609da890986ff4cf5c30f246459342b9d60bd | 29,126 |
from functools import reduce
def dynamic_partial_sum_product(
sum_op, prod_op, factors, eliminate=frozenset(), plate_to_step=dict()
):
"""
Generalization of the tensor variable elimination algorithm of
:func:`funsor.sum_product.partial_sum_product` to handle higer-order markov
dimensions in additi... | a08298f1440c212310cc3298629e27743325c9ca | 29,127 |
def range_to_number(interval_str):
"""Converts "X-Y" -> "X"."""
if not '-' in interval_str:
return int(interval_str)
# If first character is -, X is a negative number
if interval_str.startswith('-'):
number = '-' + interval_str.split('-')[1]
else:
number = interval_str.split... | 562031503241cc37b1b6df5dd657f2f2d90b79a3 | 29,128 |
import warnings
def load_wav_file_with_wavio(
file_path, sample_rate, mono=True, resample_type="kaiser_best"
):
"""Load a 24-bit wav audio file as a floating point time series. Significantly faster than
load_sound_file."""
wavio_obj = wavio.read(str(file_path))
samples = wavio_obj.data
actual... | a1b7896e8ac4b9b5833c3ca25776295deb56839e | 29,129 |
import types
def make_proxy_cls(
remote_cls: netref.BaseNetref,
origin_cls: type,
override: type,
cls_name: str = None,
):
"""
Makes a new class type which inherits from <origin_cls> (for isinstance() and issubtype()),
takes methods from <override> as-is and proxy all requests for other me... | fa48a656ed4fee4a4d1d44b7b97aad32139e644e | 29,130 |
def as_cidr(cr: CidrRepr) -> Cidr:
"""
Returns a strict network address expressed as in CIDR form: either a string, expressing the network address as
``"<network number><zeros>/<mask bits>"``, or as a ``Cidr`` object, which is returned unaltered.
"""
if isinstance(cr, _BaseNetwork):
return c... | 7d6d40c7269619f6189ea1cee940ed4d33eadb1f | 29,131 |
from vivofoundation import get_triples
def get_authorship(authorship_uri):
"""
Given a URI, return an object that contains the authorship it represents
"""
authorship = {'authorship_uri':authorship_uri}
triples = get_triples(authorship_uri)
try:
count = len(triples["results"]["bindings... | 83a1d6a763e16d43c7c83f65f7f3ad11afd5506e | 29,132 |
def Init():
""" Инициализации важных переменных """
# Получаем список листов, их Id и название
spreadsheet = service.spreadsheets().get(spreadsheetId = spreadsheet_id).execute()
sheetList = spreadsheet.get('sheets')
sheetUsers = sheetList[0]['properties']['sheetId']
sheetSW = sheetList[1]['p... | 917f2ec6f5d39260ed89c546695e7cd2839bc7b6 | 29,133 |
def Nlam_to_Flam(wave, zeropoint, zp_min=5.0, zp_max=30.0):
"""
The factor that when multiplied into N_lam converts to F_lam, i.e. S_lam where S_lam \equiv F_lam/N_lam
Parameters
----------
wave (`numpy.ndarray`_):
Wavelength vector for zeropoint
zeropoint (`numpy.ndarray`_):
zero... | 843560dde9e4ec6d2781e4179ca047d00c5e3abc | 29,134 |
def base64_values_validate(name, description, color_set):
"""Ensures the string wasn't maliciously fabricated to feed corrupted data into the app, even if the b64 code itself
successfully decoded into a valid string."""
if custom_palette_name_validate(name) or custom_palette_description_validate(description... | 878a5cdf20bcc380a8e81afc47e40592eb4db030 | 29,135 |
def isIndepFromTarget(df, attr, x):
"""
Determiner si un attr est independant de target
:df: dataframe choisit
:attr: l'argument choisit a etudier
:x: seuil
:retourner true si n attr est independant de target
"""
obs=[[], []]
ref=[]
for t in df.itertuples():
dic=t._asdict... | 7bad7b227f3c7af5413ad9778870c44c7844bf6a | 29,136 |
def read_docs_md(filename, root=None):
"""
Retrieves an apidoc markdown file to be implemented in swagger_auto_schema
:param(str) root: root base dir, settings.BASE_DIR as default
:param(str) filename: the filename to be retrieved without the .md file type
:return: the content of the md file, None i... | e888e1df91b4154fb9d67f6268da76ab2028f780 | 29,137 |
def unrotate(points, posor):
"""Rotate the matrix of column vectors points according to posor, i.e., from
absolute coordinates to camera coordinates"""
rot_matrix = calc_rot_matrix(posor)
return rot_matrix.I * points | 58066c958da982d035792997eaff00bfc573d2d1 | 29,138 |
def exp_tail(d, x):
"""Tail of the exponential series starting at d. Needed in the set sampler.
Parameters
----------
d: int
x: float
Returns
-------
float
"""
result = exp(x)
# Subtract the _first _d terms.
for i in range(d):
result -= (pow(x, i) / factorial(i... | 48ac3da79e293451d42c5d55196863e27ed3b3e1 | 29,139 |
def check_projects_scores(request, hackathon_id):
""" When a judge submits the score, check if all projects in the Hackathon
were scored by all the judges in all the categories by comparing the
number of objects in HackProjectScore for each projects to the required
number of objects.
If all project... | edfb52db396a984e10a437a1b6561a3e493d9e0e | 29,140 |
import os
def remove_and_create_dir(path):
""" System call to rm -rf and then re-create a dir """
dir = os.path.dirname(path)
print('attempting to delete ', dir, ' path ', path)
if os.path.exists(path):
os.system("rm -rf " + path)
os.system("mkdir -p " + path)
return path | 5921e55e799580fdb0a3bfea91b0589f60bdbafc | 29,141 |
import pytz
from datetime import datetime
def _get_week_comfortband(building, zone, date, interval):
"""
Gets the whole comfortband from the zone configuration file. Correctly Resamples the data according to interval
:param date: The date for which we want to start the week. Timezone aware.
:param int... | d94542446f61c5dc5b08f1efbff47fccd81dfee4 | 29,142 |
import time
import os
import shutil
def setup_testrun_dir():
"""
Sets up a testrun_* directory in the cwd and returns the path to it
"""
test_run = "testrun_{}".format(int(time.time()))
os.mkdir(test_run)
this_files_dir = os.path.dirname(os.path.realpath(__file__))
config_templates = os.pa... | f71ca502677ececfa1cec9f97b4a13d9426dce23 | 29,143 |
def get_path(obj, path, default=None):
"""Get the value at any depth of a nested object based on the path
described by `path`. If path doesn't exist, `default` is returned.
Args:
obj (list|dict): Object to process.
path (str|list): List or ``.`` delimited string of path describing
... | c72cd428979a3f39214c57346aa345087a0248c7 | 29,144 |
def get_label_set_args():
"""
Add arguments specific to the "Label Set" experiment.
Return ArgParser object.
"""
cmd = get_general_args()
cmd = get_explainer_args(cmd)
cmd.add('--in_dir', type=str, default='output/influence_set/')
cmd.add('--out_dir', type=str, default='output/label_set... | d08e59452ba7afdd8a478f589366e9ba219abb18 | 29,145 |
def literal_label(lit):
""" Invent a nice label name for the given literal """
return '{}_{}'.format(lit.function.name, lit.name) | 14a22d989ee9f07e00e66d1340b946d385d677fd | 29,146 |
from typing import Optional
def key(element: DOMElement) -> Optional[str]:
"""
Retrieve the key of a particular :class:`.DOMElement` in its parent element, if it can be
referred to by a key (i.e. if it its parent element is a :class:`collections.abc.Mapping`).
:param element: A DOM element
:retur... | f7ac059faa2023f88bad386a3d28e44a44c4259d | 29,147 |
def absolute_reverse(view_name, query_kwargs=None, args=None, kwargs=None):
"""Like django's `reverse`, except returns an absolute URL. Also add query parameters."""
relative_url = reverse(view_name, kwargs=kwargs)
url = website_util.api_v2_url(relative_url, params=query_kwargs)
return url | 11fc1bdc7be40fbbd462570f70f9fe77a5b4777f | 29,148 |
def convert(chinese):
"""converts Chinese numbers to int
in: string
out: string
"""
numbers = {'零':0, '一':1, '二':2, '三':3, '四':4, '五':5, '六':6, '七':7, '八':8, '九':9, '壹':1, '贰':2, '叁':3, '肆':4, '伍':5, '陆':6, '柒':7, '捌':8, '玖':9, '两':2, '廿':20, '卅':30, '卌':40, '虚':50, '圆':60, '近':70, '枯':80, '无':90}
... | c08b9e01f0981afd09d2d9537ec1e98f2af46c06 | 29,149 |
def method_not_raises(UnexpectedException):
"""A decorator that ensures that the underlying function does not raise the UnexpectedException"""
@Decorators.decorator
def method_not_raises(target, *args, **kwargs):
return not_raises(UnexpectedException, target, *args, **kwargs)
return method_not_r... | f5267acedcd7bebec7d0cae998635c03c95e2eb8 | 29,150 |
def create_random_data(n_randoms, stomp_map):
"""Function for creating randomly positioned unknown objects on the considerd
geomometry. These is used for normalizing the output PDF and properly
estimating the "zero point" of the correlation amplitude. The code returns
a spatially searchable quad tree of... | c3c73e358d767e46064400d9b48e99a79b7bcfea | 29,151 |
def _rotate_flag(flag, rotation):
"""Rotates the square flag by the given number of degrees. Preserves size."""
original_size = flag.size
offset = int(((flag.size[0] * (2**0.5)) - flag.size[0]) / 2)
flag = flag.resize((int(flag.size[0]*(2**0.5)) + 1,)*2, resample=Image.BICUBIC)
flag = flag.rotate(ro... | 169a0542ce056eaf8368f81e421bb21a97a4d117 | 29,152 |
def mobilenetv1():
"""Handler da página inicial do modelo de Mobilenet V1
:return:
"""
return render_template("mobilenetv1.html") | edf8cb04c715c4ce0d3c70883813fb11d0640a19 | 29,153 |
def move(board):
"""Queries the user to move. Returns false if the user puts in an invalid input or move, returns true if the move was successful"""
start_input = input("MOVE WHICH PIECE? ")
if not start_input.isdigit():
return False
start = int(start_input)
if start not in board or board... | 3377b4f349c9519eff4ede707d10e08038e9d7fc | 29,154 |
import re
def _read_reaction_kinetic_law_from_sbml(reaction, mass_reaction, f_replace, **kwargs):
"""Read the SBML reaction kinetic law and return it.
Warnings
--------
This method is intended for internal use only.
"""
mass_rid = mass_reaction.id
sbml_species = (
list(reaction.g... | ea800e5b7ccde7dbc87c11066176f963e0367256 | 29,155 |
def _total_probe_count_without_interp(params, probe_counts):
"""Calculate a total probe count without interpolation.
This assumes that params are keys in the datasets of probe_counts.
The result of ic._make_total_probe_count_across_datasets_fn should give
the same count as this function (if params are... | 0973e667dbf1fc3bdf476791cbf709549230f94b | 29,156 |
import os
import argparse
def existing_file(path):
"""Checks if a file exists.
Returns:
str: The path to the file.
Raises:
argparse.ArgumentTypeError: If a path argument does not exist.
"""
if not os.path.isfile(path):
raise argparse.ArgumentTypeError(
'No su... | 64ae432231d71ec98132b7a32be149f9f5a192dd | 29,157 |
from typing import Any
import math
def make_divisible(x: Any, divisor: int):
"""Returns x evenly divisible by divisor."""
return math.ceil(x / divisor) * divisor | bfbcfb334777a6c7214f16aa0fadd56906e2b7bc | 29,158 |
import csv
import os
import tarfile
import tempfile
import glob
import shutil
import html
import uuid
def run(tarfolder,outfolder,typeformat="sbml",choice="2",selenzyme_table="N",filenames=''):
"""Main function that runs the tool"""
print(typeformat)
#Initialization
scores={} #scores (thermod... | 38c036a4acc086d783fc3a1c33bc394fd585c05c | 29,159 |
def one_vehicle_xml():
"""Emulates a XML response for 1 vehicle trajectory"""
STREAM = b'<INST nbVeh="1" val="2.00"><CREATIONS><CREATION entree="Ext_In" id="1" sortie="Ext_Out" type="VL"/></CREATIONS><SORTIES/><TRAJS><TRAJ abs="25.00" acc="0.00" dst="25.00" id="0" ord="0.00" tron="Zone_001" type="VL" vit="25.00... | 792cfb5895fd033c40a4cdbf6e79083c865d0093 | 29,160 |
def select_data(all_tetrode_data, index):
"""
Select tetrode data by trial indices.
:param all_tetrode_data: (list of 4d numpy arrays) each of format [trial, 1, neuron + tetrode, time]
:param index: (1d numpy array) trial indices
:return: (list of 4d numpy arrays) selected subset of tetrode data
... | 5a883771ef499e0b82e0d3ac5b86550180760e13 | 29,161 |
from datetime import datetime
def normalize(ds_train, ds_cv, ds_test):
"""
Normalization of datasets
Parameters
----------
ds_train: Dataset
Training set
ds_cv: Dataset
Cross-validation set
ds_test: Dataset
Test set
Returns
-------
norm_train: Dataset
... | ad6731096e1081f3ff764ec055d4d3035a40ecbe | 29,162 |
def generate_sequential(num_users=100,
num_items=1000,
num_interactions=10000,
concentration_parameter=0.1,
order=3,
random_state=None):
"""
Generate a dataset of user-item interactions where ... | 1a9a23fda9c17d5b7085d860986aab78368a4408 | 29,163 |
def expand(fluid, pfinal, eta):
"""Adiabatically expand a fluid to pressure pfinal, using
a turbine with isentropic efficiency eta."""
h0 = fluid.enthalpy_mass()
s0 = fluid.entropy_mass()
fluid.set(S = s0, P = pfinal)
h1s = fluid.enthalpy_mass()
isentropic_work = h0 - h1s
actual_work = i... | acf8cd63684ccf3c41c38cc631d66b4bc143c5c6 | 29,164 |
def ADOSC(
frame,
fast=3,
slow=10,
high_col="high",
low_col="low",
close_col="close",
vol_col="Volume",
):
"""Chaikin A/D oscillator"""
return _frame_to_series(
frame, [high_col, low_col, close_col, vol_col], talib.ADOSC, fast, slow
) | 61b4959407d68fce2023a135253e02aa7e3428fc | 29,165 |
def op_scr(
gep: pd.DataFrame,
gross_tp: pd.DataFrame,
ul_exp: float,
bscr: float
):
"""
SCR Op Risk module
Inputs:
- Gross EP last 12m and 12m prior
- Gross TP: BEL should be positive
- BSCR
"""
op_premiums = 0.04 * (gep.at['life_all', 'gep_last12m'] - ... | fc1455e5ad7d4da92068b18b80a0ce929b5a9a50 | 29,166 |
def parse_voyager_sclk(sclk, planet=None):
"""Convert a Voyager clock string (FDS) to a numeric value.
Typically, a partition number is not specified for FDS counts. However, if
it is, it must be compatible with the planetary flyby. The partition number
is 2 for Jupiter and Saturn, 3 for Uranus, and 4 ... | 237695d43fe17af4f1d7fb704c01ab925099e663 | 29,167 |
def format_url(url):
"""
Formats url by adding 'http://' if necessary and deleting 'www.'
:param url: ulr to article or domain
:return: formatted url e.g. the following urls:
'http://www.google.pl/', 'google.pl/', 'google.pl/', 'www.google.pl/',
'http://google.pl/... | a9d99b3ad73efb2d79931e9f0d75b1ea557fc6f4 | 29,168 |
def append(arr, values, axis=None):
"""Append to the end of an array along axis (ravel first if None)
"""
arr = asanyarray(arr)
if axis is None:
if arr.ndim != 1:
arr = arr.ravel()
values = ravel(values)
axis = arr.ndim-1
return concatenate((arr, values), axis=axi... | 9654f761bd7437840e355abc7b881e3dbe6dd260 | 29,169 |
def volo_d4_448(pretrained=False, **kwargs):
""" VOLO-D4 model, Params: 193M """
model_args = dict(layers=(8, 8, 16, 4), embed_dims=(384, 768, 768, 768), num_heads=(12, 16, 16, 16), **kwargs)
model = _create_volo('volo_d4_448', pretrained=pretrained, **model_args)
return model | c7e51cf1af050d79d5c31ef1b7aa107d6eac9c27 | 29,170 |
from functools import reduce
def rec_hasattr(obj, attr):
"""
Recursive hasattr.
:param obj:
The top-level object to check for attributes on
:param attr:
Dot delimited attribute name
Example::
rec_hasattr(obj, 'a.b.c')
"""
try:
... | b1a9b12f54abb93202a5b41c950f761986307170 | 29,171 |
def find_svos(tokens):
"""
Extracts all the subject-verb objects in a list of tokens.
:param tokens: the parsed list.
:return: a list of the subject verb objects.
"""
svos = []
verbs = [tok for tok in tokens if tok.pos_ == "VERB" and tok.dep_ != "aux"]
for verb in verbs:
subs, ve... | 1ece330f828dcf54d1a010127b583327b24aa682 | 29,172 |
def def_axiom(arg1):
"""
def-axiom rule prove propositional tautologies axioms.
for reason that prove need propositional logic decision procedure,
currently use proofterm.sorry
"""
# Ts = analyze_type(arg1)
# if IntType in Ts:
# pt = refl(arg1).on_rhs(
# top_conv(rewr_con... | ccf2b1a4ca57a96a09772d1f17c11ba345e62a31 | 29,173 |
def not_shiptoast_check(self, message):
"""Checks whether the message object is not in a shiptoast chat."""
if (message.channel.id in self.settings["shiptoast"]) or (message.channel.name in self.settings["shiptoast"]):
return False
else:
return True | b951ee6be9d9173065f340eda08e997b83964fe4 | 29,174 |
def jaccard_distance_loss(y_true, y_pred, smooth=100):
"""
Jaccard = (|X & Y|)/ (|X|+ |Y| - |X & Y|)
= sum(|A*B|)/(sum(|A|)+sum(|B|)-sum(|A*B|))
"""
intersection = tf.reduce_sum(tf.math.abs(y_true * y_pred), axis=-1)
sum_ = tf.reduce_sum(tf.math.abs(y_true) + tf.math.abs(y_pred), axis=-1... | 3ed1236856bc911210f19882a03c107f82450996 | 29,175 |
def DiscoverConnect(sources, target_attributes, allowed_links, chain_attribute, chain_filters, link_type, max_length, connect_function = None, debug = None):
"""
sources - ModelList of elements to start from
target_attributes - list of attributes (pairs) to detect target attributes
allowed_links - list of attribute... | 24f73e65852349e32253b6cb73b26fe1c8efeea8 | 29,176 |
def unshare_document(token, docid, userid):
"""
Unshares a document from another user.
:param token:
The user JWT token.
:type token:
str
:param docid:
The DocID of the document.
:type docid:
str
:param userid:
The UserID of the user to be unshared fr... | c79479d93ee687dece0d60137d8837a17c306fca | 29,177 |
import copy
import torch
def AlterNChannels(layer2alter_id, new_n_channels, old_model):
"""
Function to increase number of channels
Args:
layer2alter_id: layer to change
new_n_channels: number of channels for the altered layer
old_model: model before mutation
Returns:
... | a6e02739eddd5c1de572f303b580bcd9c72a272a | 29,178 |
def generate_bins(bins, values=None):
"""Compute bin edges for numpy.histogram based on values and a requested bin parameters
Unlike `range`, the largest value is included within the range of the last, largest value,
so generate_bins(N) with produce a sequence with length N+1
Arguments:
bins (... | 2d448746658193b8dd6c3ac3ef27418b37116a93 | 29,179 |
def makeRollAnswerStr( roll_res, mention_str ):
"""Formats an answer string depending on the roll result. If provided with an invalid roll result, returns 'None'."""
answer = None
if roll_res == None:
answer = "Invalid dice expression !"
elif len(roll_res)==2: #either threshold or success ro... | 940f43b5592ff0da6d941bcb13b100c8fb2a590e | 29,180 |
import math
def ECSPower(min, max, size):
"""
on modélise l'eau du réseau comme une fonction sinusoidale de période annuelle
cette fonction est complètement calée sur un fichier météo qui commence au 1er janvier mais qui peut être pluriannuel
min : température minimale d'injection de l'eau d... | c8f2422bfc066fc2e87caa3d2d87b07d0f1e4335 | 29,181 |
from typing import Dict
from typing import Any
def __create_notification(title: str, content: str) -> Dict[str, Any]:
"""
Creates a notification "object" from the given title and content.
:params title: The title of the notification.
:params content: The content of the notification.
:returns A di... | 484abcc2afcb8f726811e36516572bc5c302a415 | 29,182 |
def readme():
"""Read and patch README."""
readme_text = read('README.rst')
# PyPI does not accept :class: references.
return readme_text.replace(':class:`base64io.Base64IO`', '``base64io.Base64IO``') | bad97b377022ec15e0dc0c0c3bcb984924dce216 | 29,183 |
def generator_dcgan(noise_dim, img_source_dim,img_dest_dim, bn_mode,deterministic,pureGAN,inject_noise,wd, model_name="generator_dcgan"):
"""DCGAN generator based on Upsampling and Conv2D
Args:
noise_dim: Dimension of the noise input
img_dim: dimension of the image output
bn_mode: keras... | 9d8d481fc9688b30fd3b9ffdb5914a61291b56b7 | 29,184 |
import sys
def get_ironic_client():
"""Get Ironic client instance."""
kwargs = {'os_password': CONF.ironic.os_password,
'os_username': CONF.ironic.os_username,
'os_tenant_name': CONF.ironic.os_tenant_name,
'os_auth_url': CONF.ironic.os_auth_url,
'os_endp... | 061a47b9c2b3d13d8e874b6d905784120c36ac1f | 29,185 |
def emg21(peak_index, x_pos, amp, init_pars=pars_dict,
vary_shape_pars=True, index_first_peak=None):
"""
Hyper-EMG(2,1) lmfit model (single-peak fit model with two exponential tails
on the left and one exponential tail on the right)
Parameters
----------
peak_index : int
Inde... | 9e35deb35806aa1da1c70080a0eb0e5af022fe53 | 29,186 |
def _wait_and_retry(provider, job_id, poll_interval, retries, job_descriptor,
summary):
"""Wait for job and retry any tasks that fail.
Stops retrying an individual task when: it succeeds, is canceled, or has been
retried "retries" times.
This function exits when there are no tasks running ... | fc0f78d1ceb9d4d26dbf7b92fedc2de33a4ac4e9 | 29,187 |
def summarize_2_dual_3(package_list):
"""
Given list of packages, return counts of (py3-only, dual-support, py2-only)
"""
py3 = 0
dual = 0
py2 = 0
for pkg in package_list:
if pkg['status'] == 'py3-only':
py3 += 1
elif pkg['status'] in PY2_STATUSES:
dua... | 6a863b456a71fd51e1ac2744424a42495413778f | 29,188 |
import os
import json
def get_invalid_resumes():
""" Loads invalid json resumes for unit tests, returning a list of TestSchemaFile """
folder = os.path.join(RESUME_DIR, 'invalid')
return [
TestSchemaFile(
invalid_resume_filename,
json.load(
open(os.path.join... | 15cd771b9dade7e9fc723ca5d36afa2b1c9fbb05 | 29,189 |
import os
import shutil
def get_exppath(tag, name=None, override=False, prompt=False, root='~'):
""" Specific path for experiments results
Parameters
----------
tag: string
specific tag for the task you are working on
name: string
name of the folder contains all the results (NOTE: the
nam... | e2c995f855a5d7e776f1b87015ff18ed9e725a5b | 29,190 |
def isPTSF(p, T=[]):
"""
>>> from common.production import Production
>>> p = Production(['A'], [['\\"a\\"', '\\"b\\"'],['\\"cde\\"']])
>>> isPTSF(p)
True
>>> p = Production(['A'], [['\\"a\\"', '\\"b\\"'],['\\"cde\\"']])
>>> isPTSF(p, ['a', 'b', 'c', 'd', 'e'])
True
>>> p = Product... | 13f1ed36bb93035490fde33dad3840fe8b98c263 | 29,191 |
def new_getvalue( state, name, p):
"""
Called every time a node value is used in an expression.
It will override the value for the current step only.
Returns random values for the node states
"""
global TARGETS
value = util.default_get_value( state, name, p )
if name in TARGETS:
... | 30b6abacaf478936663b94c45fc2bb3951706299 | 29,192 |
import os
import csv
def csv_find(filein, data):
"""Finds and returns the row number of the element given, in a CSV file."""
if not os.path.isfile(filein):
return(-1)
with open(filein, 'rt') as fi:
reader = csv.reader(fi, delimiter=',')
for row in reader:
hashout = row[... | 524e006720ebe3043fbfe539c45e42d19b77250b | 29,193 |
def informe_ministerios():
"""
Listado de personas
"""
check_edit_or_admin()
roles = db.session.query(Rol).filter(Rol.tipo_rol == 'M')\
.join(relacion_miembros_roles,
relacion_miembros_roles.c.id_rol ==
... | 3dddb4756a092faaa8b6f191f93e22787fb7e38d | 29,194 |
def merge_regions_and_departments(regions, departments):
"""Merge regions and departments in one DataFrame.
The columns in the final DataFrame should be:
['code_reg', 'name_reg', 'code_dep', 'name_dep']
"""
return pd.merge(left=regions[["code", "name"]],
right=departments[['regi... | 0852df4d8ace31a74397ad88140336dbdf9488d2 | 29,195 |
import json
def updateResourceJsons(swagger,examplesDict,dirName):
"""
Update the Resource JSON file to include examples in other folder
"""
try:
# Iterate through all resources in the output folder
for id in range(len(swagger['tags'])):
resourceName = swagger['tags'][id]['... | 3d9a7a31e3875bb7c56d8dfbd26ca5b73039101b | 29,196 |
def sign(x):
"""Sign function.
:return -1 if x < 0, else return 1
"""
if x < 0: return -1
else: return 1 | aae4fcf8fcfafca63593e908c264c08107640ec6 | 29,197 |
def set_default_dataseg(*args):
"""
set_default_dataseg(ds_sel)
Set default value of DS register for all segments.
@param ds_sel (C++: sel_t)
"""
return _ida_segregs.set_default_dataseg(*args) | e1f988537cb9eb0518fe5467d07d5487f3f8c440 | 29,198 |
def get_sms_history(key: str):
"""
Get SMS history.
:param str key: Authentication key.
:return: List of SMSHistoryItems.
"""
session = get_session(key)
url = f"{SITE_BASE_URL}/index.php?page=10&lang=en"
response = session.get(url)
pages = bs(response.text, "html.parser").find_all... | ed6f4a4a63d90fc91e25baa92179c220783f78b2 | 29,199 |
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