content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def candidacy(request):
"""Generate a page to choose and request candidacy among the legal ones."""
# TODO Lots of unnecessary SQL queries; subgroups sorted by network should be queried all at once.
user = request.user
user_of_subgroups = m.Subgroup.objects.filter(users__in=[user])
candidacies = m.C... | b01c8fd57a814fe061f7398344a9d7f04dcfb044 | 3,623,400 |
def calc_f2_score(gt_bboxes_list, pred_bboxes_list, verbose=False):
"""
gt_bboxes_list: list of (N, 4) np.array in xywh format
pred_bboxes_list: list of (N, 5) np.array in conf+xywh format
"""
#f2s = []
f2_dict = {'f2':0, "P":0, "R": 0}
all_tps = [list([0] * 11) for _ in range(len(gt_bboxes... | fbc6e89bdd1555a3414c7ceb1d0653cb259256ee | 3,623,401 |
def decode(serialized_example):
"""
Parses an image and label from the given `serialized_example`
:param serialized_example:
:return:
"""
features = tf.parse_single_example(
serialized_example,
# Defaults are not specified since both keys are required.
features={
... | 8324094b768d849da16b82781b149ee827c9eae2 | 3,623,402 |
from datetime import datetime
def dateformated(x):
"""
===========================================================
dateformated(x)
===========================================================
this function converts the the date read from a list to a datetime format
input:
x is ... | ceee8998f5c381fcb4dc612e3f852f8c2a6862ab | 3,623,403 |
from Orange.widgets.utils.itemmodels import VariableListModel
def comboBox(
widget,
master,
value,
box=None,
label=None,
labelWidth=None,
orientation=Qt.Vertical,
items=(),
callback=None,
sendSelectedValue=False,
valueType=str,
emptyString=None,
editable=False,
... | 779a1f50e661fbf8ee5efe760bb34fec626658c2 | 3,623,404 |
def lowerbranch_subtract(X):
"""Function to subtract lower hysteresis branch from FORC magnetizations
Inputs:
H: Measurement applied field [float, SI units]
Hr: Reversal field [float, SI units]
M: Measured magnetization [float, SI units]
Fk: Index of measured FORC (int)
Fj: Index of giv... | 47f62298feec88cc4ab9424994016aa0b69f3cda | 3,623,405 |
def load_annotated_project(project_root_path):
"""
loads annotated symbols into a set of ModuleSymbols
:param project_root_path: symbols we will use to write out new source code
:return: set of ModuleSymbols objects
"""
return load_modules_into_module_symbol_objects(project_root_path,
... | 9d4dbd7c4bce81fb8364400faa998417109c359d | 3,623,406 |
def verify_annotation(ann_obj, projectconf):
"""
Verifies the correctness of a given AnnotationFile.
Returns a list of AnnotationIssues.
"""
issues = []
issues += verify_annotation_types(ann_obj, projectconf)
issues += verify_equivs(ann_obj, projectconf)
issues += verify_entity_overla... | 913658b75d64a161e17e256a72cb72458da9d8a6 | 3,623,407 |
def schedule_conv2d_nhwc_winograd_tensorcore_without_weight_transform(cfg, outs):
"""TOPI schedule callback"""
s = te.create_schedule([x.op for x in outs])
def _callback(op):
if "conv2d_nhwc_winograd" in op.tag:
schedule_nhwc_winograd_cuda(
cfg, s, op.output(0), use_tens... | 1ac825c61eee950bdba43c80c393519fd7234831 | 3,623,408 |
def encode_dataset(dataset, vocabulary):
"""Encode from strings to token ids.
Args:
dataset: a tf.data.Dataset with string values.
vocabulary: a mesh_tensorflow.transformer.Vocabulary
Returns:
a tf.data.Dataset with integer-vector values ending in EOS=1
"""
def encode(features):
return {k: vo... | 1631f760be39c786fe8d2f7eb5eba0a3b78b5079 | 3,623,409 |
from datetime import datetime
def now():
"""
Get current time.
:return: now as datetime with timezone
"""
return datetime.now(UTC) | 1653538681a2bcdadbab6d8ea9e909a47a98ba32 | 3,623,410 |
import typing
def CallGraphToFunctionCallCounts(g: nx.MultiDiGraph,) -> typing.Dict[str, int]:
"""Build a table of call counts for each function.
Args:
g: A call graph, such as produced by LLVM's -dot-callgraph pass.
See CallGraphFromDotSource().
Returns:
A dictionary where each function in the ... | 61a5080e48574c7f4d13d58f3d58b8220d0ee2a4 | 3,623,411 |
def create_multi_stores(conf=CONF, reserved_stores=None):
"""
Registers all store modules and all schemes from the given configuration
object.
:param conf: A oslo_config (or compatible) object
:param reserved_stores: A list of stores for the consuming service's
internal ... | e002e2b37652c88c3a16a5a07dab7d095c965260 | 3,623,412 |
import logging
def decompose(args):
"""
Make a decomposition of the energy into some if its residue components.
"""
if args.resList is None:
msg = 'TERMINATED. List of residues not provided.'
logging.info(msg)
return None
gmx = search_commands(['gmx', 'gmx_mpi'], args.gmxE... | c384d760e215f07e0251f028908f4790c371fdf8 | 3,623,413 |
def define_generator(image_shape, n_resnet):
"""
Creates the generator
:param image_shape: shape of the input image
:param n_resnet: Number of resnet blocks
:return: generator model
"""
# Weight initialization
init = RandomNormal(stddev=0.02)
# Image input
in_image = Input(shape... | 2e24d70aff320cd282f3849e989f60adcc8ce950 | 3,623,414 |
def duplicates_allclose(dataframe, dcols, fcols):
"""Determine duplicates in dataframe based on tolerances
Args:
dataframe: the dataframe
dcols: the columns that are tested for exact duplicates
fcols: the columns that are checked for tolerance, dict with
tolerances
This is the si... | 53b70eb37d2c7ee61e8e66828b5e598915ddcc79 | 3,623,415 |
import os
def base_app(tmp_shared_volume_path):
"""Flask application fixture."""
config_mapping = {
"SERVER_NAME": "localhost:5000",
"SECRET_KEY": "SECRET_KEY",
"TESTING": True,
"SHARED_VOLUME_PATH": tmp_shared_volume_path,
"SQLALCHEMY_DATABASE_URI": os.getenv("REANA_SQ... | b8200dc32b981dc17a0981c17b47675e4d02d30e | 3,623,416 |
def get_topic_summary_by_id(topic_id, strict=True):
"""Returns a domain object representing a topic summary.
Args:
topic_id: str. ID of the topic summary.
strict: bool. Whether to fail noisily if no topic summary with the given
id exists in the datastore.
Returns:
Topic... | 34ed9e5e0cbdf8b2e06f2bcedb43c361ad56f063 | 3,623,417 |
def smoothing_Negative_rx0(MSK, Hobs, rx0max):
"""
This program use an opposite methode to the direct iterative method from
Martinho and Batteen (2006). This program optimizes the bathymetry for
a given rx0 factor by decreasing it.
Usage:
RetBathy = smoothing_Negative_rx0(MSK, Hobs, rx0max)
... | ac93c4b983780dc8eae524efc4d7b7b7d1ff650c | 3,623,418 |
def cgraphics_vec_to_RGBangle(source, w, h, cm, colorcorrect):
"""Pixelwise conversion of a 2D vectors to RGB angular image.
This is especially useful for optic-flow visualization.
Parameter
---------
source : numpy array [2 * dim_x * dim_y]
The 2D vector image of resolution dim_x x dim_y.... | ea4437a1355bcb254fabff4a85b9e0bdc5fc54fd | 3,623,419 |
def get_port():
"""Returns a port number."""
return 0 | 97259c825bbe41f47bd5bec81fedf24c5b19a547 | 3,623,420 |
def return_car_dict(car: Car):
"""
Returns a Car Object as dictionary
:param car: The car object being formatted
:return: Returns the car object formatted to return as dictionary
"""
riders = []
for rider in car.riders:
riders.append(rider.username)
return {
'id': car.id,... | 4bc9f15769db8564693b2396cef970c447a80729 | 3,623,421 |
def sort_unique(edges):
"""Make sure there are no duplicate edges and that for each
``coo_a < coo_b``.
"""
return tuple(sorted(
tuple(sorted(edge))
for edge in set(map(frozenset, edges))
)) | d4f4425b78baed6d822d5559787ced1653986761 | 3,623,422 |
def ext_subtable23(cxt: DecoderContext, fmt: Format):
""" EI | DI | SYSCALL | CLL | PUSHSP | POPSP | undef """
if fmt.lo5 == 0 and fmt.ext_hi5 == 0 and fmt.ext_lo5 == 0:
ff_hi = fmt[15:14]
ff_lo = fmt[13:11]
mnem = [[MNEM.DI] + [MNEM.UNDEF_CODE] * 3,
[MNEM.UNDEF_CODE] * 4... | 6b53cf2f29df6fb2f62d307ec72e3558afbc65dc | 3,623,423 |
def if_else(vector: np.ndarray) -> np.ndarray:
"""Copies vector but sets elements lower than 3 to 0
Parameters
----------
vector : np.ndarray
shape = (n, )
Returns
-------
np.ndarray
shape = (n, )
Examples
--------
>>> a = np.array([1, 2, 3, 4, 5, 6])
>>> i... | 039d2c6ead74af0d1d6536f1ec7c1969bb77d1ba | 3,623,424 |
import sys
def daast_from_file(filename, args=None):
"""Generates DistAlgo AST from source file.
'filename' is the filename of source file. Optional argument 'args' is a
Namespace object containing the command line parameters for the compiler.
Returns the generated DistAlgo AST.
"""
try:
... | fde2f0fc6389786b919d5ac6802d84c88b8c6406 | 3,623,425 |
def plot_roc_auc_f1(y_test, y_proba, title=None):
"""Plot ROC curve and random comparison, along with f1 and AUC metrics"""
std_f1 = f1_score(y_test, y_proba[:, 1] > 0.5)
fpr, tpr, _ = roc_curve(y_test, y_proba[:, 1])
auc_score = auc(fpr, tpr)
fig, axis = plt.subplots(figsize=(6, 6))
if title is... | 867a84a45eeeb0b2451b84252e313714d08b9ea4 | 3,623,426 |
def get_var_names(var_name):
"""Defines replacement dictionary for the bare variable name and
the names derived from it - the optimization flag and the identifier name.
"""
repl = dict()
repl['opt_var_name'] = "Opt_%s"%var_name
repl['id_var_name'] = "ID_%s"%var_name
repl['var_name'] = var_name
return... | 37999ffed0a0df1dbf736ada0cc355080dd9997f | 3,623,427 |
import sys
def progressbar(it, prefix="", size=60, file=sys.stdout):
"""A super simple progressbar.
Args:
it ([type]): [description]
prefix (str, optional): [description]. Defaults to "".
size (int, optional): [description]. Defaults to 60.
file ([type], optional): [descriptio... | cce6beee0d67e0d6be954f52709d0e9aa36c9a07 | 3,623,428 |
def hubble_parameter(z):
"""
It calculates the Hubble parameter at any redshift.
"""
part = np.sqrt(const.Omega0*(1.+z)**3+const.lam)
return const.H0 * part | a026648e2a14630e8121d27d7a3435bae55a4d5e | 3,623,429 |
import os
def default_output_name(input_name):
"""Return the default output name for the specified input name.
This function is invoked when no ``--output`` option is specified
(see the documentation of this option for further details).
"""
tokens = os.path.split(input_name)
basename = (token... | 9ffbcd06f3cfba2dfcfc59d066b90ab43bd8af30 | 3,623,430 |
import logging
def is_valid_snmp_v2_credential(credential):
"""check if credential is valid snmp v2 credential."""
if credential.keys() != SNMP_V2_CREDENTIALS.keys():
return False
if credential['version'] != '2c':
logging.error("The value of version in credential is not '2c'!")
ret... | 3adaf2eddc4c9afc9388e56f34c9d4d7afab171b | 3,623,431 |
from typing import Dict
from typing import Any
from typing import List
import json
def test_remove_existing_last_key(mocker):
"""
Given:
- a nonempty list with 1 value
- a key that exists in the list (the only one that exists)
When
- trying to remove the last key of the list
Th... | ccc1850aa17670d555308c0286dd8cdbdebb6a82 | 3,623,432 |
from emmaa.util import get_s3_client
from emmaa.model import save_config_to_s3
from emmaa.model_tests import ModelManager, save_model_manager_to_s3, \
def setup_bucket(
add_model=False, add_mm=False, add_tests=False,
add_results=False, add_model_stats=False, add_test_stats=False):
"""
This fun... | 3cf01e40dbcff44d1f91f324a4f81d7fe22f9427 | 3,623,433 |
def get_school_deadlines(college):
"""Get the admissions deadlines for the provided college."""
if college:
college = college.lower()
for deadline in DEADLINES:
if college in deadline.lower():
return statement(deadline)
return statement(
'Sorry, we are sti... | 8a1034f3e1275d6243feefeef9b058ed9c2d6f8b | 3,623,434 |
def function_grandkids_cell():
"""Returns string see usage"""
return "\n".join(["F1 is a function", "F1a is a function", "F1a1 is a function",
"F1 is composed of F1a", "F1a is composed of F1a1", "a is a data",
"F1a produces a", "b is a data", "F1a consumes b", "c is a... | 07b862cd5c5e02a90cba744d7182dab25994be1b | 3,623,435 |
def euclidean(matrix, vector, assure_consistency=False):
"""
Calculate inversed euclidean distance for all words in matrix against vector.
"""
if assure_consistency:
vector = _assure_consistency(matrix, vector)
inv_euc= 1/(1+matrix.subtract(vector).norm(axis=1))
return inv_euc.sort(ascen... | b31ec133957c555c8ce231f0ef0a99792ce0b502 | 3,623,436 |
def alfred_items_for_value(value):
"""
Given a Chinese language string, return a list of alfred items for each of the results
"""
index = 0
results = []
config_list = [
('t2s.json', u'繁體到簡體', 'SimplifiedChinese.png'),
('s2t.json', u'簡體到繁體', 'TraditionalChinese.png'),
('s... | 6f4437db0515e8464a235e59c5b4a3e26eaa5a44 | 3,623,437 |
import re
def preprocess_caption(row, mode):
"""Applies the selected preprocessing steps to the text.
Args:
row: A UTF-8 string.
mode: A string indicating the selected preprocessing strategy.
Valid values include: 'no_preprocessing' (no preprocessing),
'rm_all... | 68a3cad4e20ce5151cc7ed49b5de747b2a17cdcb | 3,623,438 |
def encode(val, base, minlen=0):
"""Returns the encoded string"""
code_string = get_code_string(base)
result = ""
while val > 0:
result = code_string[val % base] + result
val /= base
if len(result) < minlen:
result = code_string[0] * (minlen - len(result)) + result
return... | 772f787c915703cda7f7fb8f5942484ea6cbab6a | 3,623,439 |
from typing import List
from typing import Dict
import re
def parse_header_links(value: str) -> List[Dict[str, str]]:
"""
Returns a list of parsed link headers, for more info see:
https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Link
The generic syntax of those is:
::
Link: < u... | 536d3f2b477666c076ac29312f3acfe63f40e324 | 3,623,440 |
import traceback
def main(testsuite_list, project_repository, data_repository,
auto_defects=False, ts_parallel=True):
"""Executes the list of testcases in parallel
Computes and returns the testsuite status"""
try:
project_status = execute_parallel_testsuites(testsuite_list, project_reposi... | 77542764fd46f57d420618fa747f3df8b09f0d4c | 3,623,441 |
import ast
from typing import List
def find_function_def_nodes(node: ast.Module) -> List[ast.FunctionDef]:
"""Finds ast.FunctionDef nodes in the source code. ast.FunctionDef
represents `def function_name(....):` statement in the code.
Args:
node: a root node of the AST tree, this node should be a... | 1bed6da5705da11d614210de453bee6edae11941 | 3,623,442 |
def parseFloat(value, ret=0.0):
"""
Parses a value as float.
This function works similar to its JavaScript-pendant, and performs
checks to parse most of a string value as float.
:param value: The value that should be parsed as float.
:param ret: The default return value if no integer could be pa... | 6828cc19882dcbfcf7b83781b1e79a6014034cad | 3,623,443 |
import requests
import json
def metadataview(request, container, objectname=None):
""" Return object/container/pseudofolder metadata. """
storage_url = get_endpoint(request, 'adminURL')
headers = {'X-Storage-Token': get_token_id(request)}
url = '{0}/{1}'.format(storage_url, container)
if objectn... | 82af25a85f89db5464bac5869dfa05480053c6b2 | 3,623,444 |
def count_call_alleles(ds: Dataset, merge: bool = True) -> Dataset:
"""Compute per sample allele counts from genotype calls.
Parameters
----------
ds : Dataset
Genotype call dataset such as from
`sgkit.create_genotype_call_dataset`.
merge : bool, optional
If True (the defaul... | 904235b56f0bc87c809e41c7f3fcaee85da5bf1f | 3,623,445 |
from typing import Concatenate
def dense_block(x, n_filters):
""" Construct a Densely Connected Residual Block
x : input to the block
n_filters: number of filters in convolution layer in residual block
"""
# Remember input tensor into residual block
shortcut = x
# BN-R... | 59d5d05b69756367f0ed4e24544ea58ff3afbae9 | 3,623,446 |
def get_fetcher(conf: MappingNode, build_dir: str, generator: ninja_syntax.Writer):
"""Construct and return RepoFetcher object"""
return RepoFetcher(conf, build_dir, generator) | afc4efeb39a03a63e25b7eba840bd532db59b05d | 3,623,447 |
def text_box_search_folder(path, tag, search_term):
"""applies the text_box_search() method to a full folder
Arguments: path [string]: absolute of relative path to folder
tag [string]: element type
search_term[string]: search term to find element
Returns: [named tuples]:
... | 58835459faf37ddc5ec85e8cd0ef29604ef6c235 | 3,623,448 |
def discard_inserted_documents(error_documents, original_documents):
"""Discard any documents that have already been inserted which are violating index constraints
such documents will have an error code of 11000 for a DuplicateKey error
from https://github.com/mongodb/mongo/blob/master/src/mongo/base/... | 9d7d47a0ade2300449a7f1a4a20c3a70f6dce583 | 3,623,449 |
def include_amp_css(path: str):
""" Inserts CSS content into a Django template, stripping illegal CSS rules and keywords. """
actual_path = finders.find(path)
with open(actual_path, 'r', encoding='UTF-8') as f:
content = f.read()
content = content.replace('!important', '')
return mar... | 45202a6dcfc894c72aabfa5c1b07ed9cd36a5c86 | 3,623,450 |
def get_target_no_match(mirna_sequence, length):
"""Given a miRNA sequence, return a random target sequence without 4 nt of contiguous pairing"""
rc = rev_comp(mirna_sequence[1:8]) + 'A'
off_limits = [rc[ix:ix + 4] for ix in range(5)]
while True:
target = generate_random_seq(length)
keep... | 2bd6e5fd226e21ff955f0f4f7ec30c8fbc54f887 | 3,623,451 |
def list_folder(drive, folder_id):
"""
Lists contents of a GoogleDriveFile that is a folder
:param drive: Drive object to use for getting folders
:param folder_id: The id of the GoogleDriveFile
:return: The GoogleDriveList of folders
"""
_q = {'q': "'{}' in parents and trashed=false".format(... | 1ea5837d6096f2f9c1f0485d5a02bd43a8b8c55e | 3,623,452 |
def media_100_fixture():
"""Load media payload for item 100 and return it."""
return load_fixture("plex/media_100.xml") | 8b9f7a76b9a16cb15cc5d8c7ee48f28de45d8f5d | 3,623,453 |
import matplotlib.pyplot as plt
def plot_good_coils(raw, t_step=1., t_window=0.2, dist_limit=0.005,
show=True, verbose=None):
"""Plot the good coil count as a function of time."""
if isinstance(raw, dict): # fit_data calculated and stored to disk
t = raw['fit_t']
counts = ... | 77c6bfd1e5a2b931398a43c6dabf36104e77d533 | 3,623,454 |
def ascii_encode_dict(data):
"""Encodes dict keywords to regular strings. Needed because of bug in Python
2.6 which causes fail when passing unicode keyword to _Substitute()."""
ascii_encode = lambda x: x.encode('ascii') if isinstance(x, unicode) else x
return dict(map(ascii_encode, pair) for pair in data.ite... | 3c1f9b09f71fb61c59aa73465e0e67b4ca6398f9 | 3,623,455 |
import re
def normalize_place_name(value):
"""Quick and dirty conversion of common verbiage around placenames"""
query_value = value
query_value = re.sub(r"^Place \w+:", "", query_value)
query_value = re.sub(r"^Cultural Place:", "", query_value)
query_value = query_value.strip()
return query_... | 790110ff9381cdce69caffc14362f61936c36cb4 | 3,623,456 |
def plot_calibration_curve(y_true, y_pred_prob, model_name, title, n_bins=5, normalize=False):
"""
Returns a matplotlib figure containing the plotted calibration plot.
Args:
y_true: array-like of shape (n_samples,) of true target
y_pred_prob: array-like of shape (n_samples,) probabiliti... | 3f1d5e20c61ea675e81372c1d3b9471c6e7d7979 | 3,623,457 |
from typing import List
from typing import Optional
from typing import Union
from typing import Tuple
from typing import Set
from typing import Dict
from typing import Callable
from typing import Any
def boxplot(
df: DataFrame,
groupby: List[str],
metrics: List[str],
whisker_type: PostProcessingBoxplo... | 7bead51525f95f59a31de626976e232c387c31dd | 3,623,458 |
def pow_mid(p, max_denom=1024):
""" Return (x,1,t) power tuple
t <= x^p 1^(1-p)
user wants the epigraph variable t
"""
assert 0 < p < 1
p = Fraction(p).limit_denominator(max_denom)
return p, (p, 1-p) | 0393aed017a8d7a41388ee2b185f8f708b8a880c | 3,623,459 |
def search_vulnerabilities_version(word_list, db_table):
"""
Search vulnerabilities for version number.
:param word_list: the list of words searched by the user.
:param db_table: the database table in which perform the search.
:return: the list containing the results of the performed search.
"""... | e6995b9fa01e20cdd250c1784ce17aaa29db1168 | 3,623,460 |
import struct
def htons(cpu_context, func_name, func_args):
"""
Convert the provided 16-bit number in host byte order (little-endian) to network byte order (big-endian)
"""
le_port = func_args[0]
port_data = struct.pack("<H", le_port)
return struct.unpack(">H", port_data)[0] | 095be37630fbe0dc86ea5e731180249c29ccac85 | 3,623,461 |
import sys
import torch
def load_data(dataset):
"""Load data."""
names = ['x', 'y', 'tx', 'ty', 'allx', 'ally', 'graph']
objects = []
for i in range(len(names)):
with open("data/ind.{}.{}".format(dataset, names[i]), 'rb') as f:
if sys.version_info > (3, 0):
object... | b28400fb49f1ffc2cdf2639fcc14f3a08514e42f | 3,623,462 |
def _split_columns(df, columns, delimiter, converter=identity):
"""Split column string values into tuples with the given delimiter."""
return df.update_columns(
**{column: ignoring_exceptions(lambda s: tuple(converter(x) for x in s.split(delimiter)), (), (AttributeError)) for column in make_iterable(col... | fac76750bca4952c9ba8aff26b056c5554bbe076 | 3,623,463 |
def read_well_list(stream):
"""Read the well-list."""
retval = {}
for line in stream:
line = line.rstrip()
if line.startswith("Row"):
continue
tokens = line.split("\t")
wbc = tokens[5]
retval[wbc] = {
"row": tokens[0],
"column": tok... | 65b1782a76c5eddb88a6e6491a72fd2f93d56076 | 3,623,464 |
def bayes_compare_language(l1, l2, ngram_range=(1, 3), prior=.01, cv=None, counts_mat=None):
"""
Parameters
----------
l1, l2 : Iterable[str]
list of strings from each language sample
ngram_range : Tuple[int, int], default=(1,3)
an integer describing up to what n-gram you want to co... | d3f47e41e48618f634dd60bc9606d5a127cd370c | 3,623,465 |
import re
def find_asn(string: str):
"""
Returns a autonomous system number or None
:param str string: String
:return: int or None
"""
match = re.search(PATTERN_ASN, string)
if match:
return int(match.group(1))
return None | 1a5eade84a7960523197254160b2ce606ce4997d | 3,623,466 |
import imp
import uuid
def load_solvers(path):
"""Load a suite of solvers."""
logger.info("loading solver suite from %s", path)
return imp.load_source("borg.suite_{0}".format(uuid.uuid4().hex), path) | 4e7a7f804e31fe6ea3d907d8f47b0940cfa43f35 | 3,623,467 |
def cross_derivative(expr, dims, fd_order, deriv_order, **kwargs):
"""
Arbitrary-order cross derivative of a given expression.
Parameters
----------
expr : expr-like
Expression for which the cross derivative is produced.
dims : tuple of Dimension
Dimensions w.r.t. which to diffe... | 07574280f6ef0c8e1393db781506a008b90245db | 3,623,468 |
def starting_node_random_walk(bipartite,weights_x, min_weight=100, max_dim=10 ):
"""
Sample random node in X (from bipartite graph X-Y) with the restriction that it does not connect to more
than "max_dim" nodes in Y and that its weight is more than "min_weight"
Parameters
----------
bipartite :... | 7c8a54fa376823d6bb9b2d4c8c641f8e120fc247 | 3,623,469 |
def play_marbles(players, start_marble, limit_points):
"""Play marbles with number of players and limit_points."""
cur_marble = start_marble
cur_points = 1
cur_player = 0
while cur_points <= limit_points:
if cur_points % 23 == 0:
for _ in range(7):
cur_marble = cu... | 06bae200c7b1763c68304442e592f1ef44d8618f | 3,623,470 |
import json
import re
def get_extension_name(id: str, version: str) -> str:
"""Returns the 'name' of a Chrome extension by finding the correct source.
Args:
id: An extension identifier string.
version: The extension version that is used to search file paths.
Returns:
A string for... | d953c5bcd7150a2f9e41dfab7c79e3ae940c4ca2 | 3,623,471 |
import time
import sys
def metered_stream(fn):
"""
Display a progress meter to standard out for a stream.
"""
def wrapped(*args, **kargs):
meter = _use_and_del(kargs, 'meter', True)
freq = _use_and_del(kargs, 'meter_freq', 10000)
stream = fn(*args, **kargs)
# Hijack the stream and keep cou... | 3c3809a21570193c7e1a907754c56bcdd8b1ceb3 | 3,623,472 |
import json
from datetime import datetime
def filter_data(data):
""" Setup the filter in use by the listen() function. It will take the rsvp event JSON string,
and return a JSON string subset of that data.
:param: json string
:return: json string
"""
try:
result = json.dumps({
... | f32c6f7907fd6dd64fac443c459864cd62bb737f | 3,623,473 |
from typing import OrderedDict
def _to_distiller_modulelist(model):
"""Replaces all instances of torch.nn.ModuleList in a model with DistillerModuleList instances
Args:
model (torch.nn.Module): Model to convert
"""
def convert_container(container):
# To maintain a similar order of reg... | 6a37737dae923c418d3931994f5dd0467abe0b75 | 3,623,474 |
from typing import Any
def noted_under(key: str) -> Any:
"""Gets a noted value from the director.
Examples::
the_actor.should(
See.the(
Text.of_the(WELCOME_MESSAGE), ContainsTheText(noted_under("first name"))
),
)
"""
try:
return Direct... | c598c33d8bd505a338d17ee90dbb8dd84fce35ab | 3,623,475 |
def department_page(school_name):
""" Renders the page where the user selects their department. """
school = School.query.filter(School.name == school_name).first()
if school is None:
return default_error, 400
return render_template('departments.html', departments=school.departments.all()) | 9871cf587f9310015be06305dd0cfd55d4ecb090 | 3,623,476 |
import os
import subprocess
def download_isolated_file(h, workdir, isolate_server, namespace):
"""Download the isolated file with the given hash and return its contents."""
dst = os.path.join(workdir, h)
if not os.path.isfile(dst):
subprocess.check_call([
'python', 'isolateserver.py', 'download', '-... | 6b286c0c50d06ead3f4a137030384737d49861b7 | 3,623,477 |
def add_feat_data_to_array(all_data, new_data, feat_pd_names, feat_name, params):
"""
Update all_data array by appending the new data. The new data contains the data from all freq bands
Syntax: all_data = add_feat_data_to_array(all_data, new_data, feat_pd_names, feat_name, params)
Inputs:
all_... | bb7e20ff0e0468442adc0e5600dc165bbf18bade | 3,623,478 |
def distance_matrix_dict_fixture():
"""The expected distances between the example cities defined in tests/conftest.py"""
return {
'euclidean': np.array([
[0, 1118, 2236],
[1118, 0, 1118],
[2236, 1118, 0]
]),
'manhattan': np.array([
[0, 1500... | 165c2cbd25f8e6659fc25a76489c37e72b3bd14e | 3,623,479 |
def get_global_config_definition(context, config, value):
"""Get config definitions included with Mycroft.
Arguments:
context: behave test context
config: config value to fetch from the file
value: predefined value to fetch
Returns:
Patch dictionary or None.
"""
con... | 883bbc2cca021ac3bbed6f923c8b948ea83f4800 | 3,623,480 |
import numpy as np
import xarray as xr
def interp_sw_levels_xr(sw_xr_var):
"""takes swoosh data xarray Dataarray (one var) and interpolate it
vertically to MERRA GCM pressure levels"""
# *levels is other optional pressure levels
MERRA_levels = np.array([3.00000000e+02, 2.50000000e+02, 2.00000000e... | 255a93e69965fb24a7039cad57d919766a8d5a1e | 3,623,481 |
def ordinal_number(n: int):
"""
Returns a string representation of the ordinal number for `n`
e.g.,
>>> ordinal_number(1)
'1st'
>>> ordinal_number(4)
'4th'
>>> ordinal_number(21)
'21st'
"""
# from https://codegolf.stackexchange.com/questions/4707/outputting-ordinal-numbers-1... | 9cb2b333cfe7d4e7b115d21d9d3c1bbaec02cdd9 | 3,623,482 |
def rgamma(alpha, beta, size=None):
"""
Random gamma variates.
"""
return np.random.gamma(shape=alpha, scale=1. / beta, size=size) | c7985db1be3e979d793f90ff4eea6845853c4684 | 3,623,483 |
def get_metadata_from_xml_tree(tree, get_issns_from_nlm=False,
get_abstracts=False, prepend_title=False,
mesh_annotations=True):
"""Get metadata for an XML tree containing PubmedArticle elements.
Documentation on the XML structure can be found at:
... | 7375fbe805db7bf7fc243b143f5499212a6412af | 3,623,484 |
def aodh_client(conf):
"""Get an instance of aodh client"""
try:
ao_client = driver_module('aodh')
client = ao_client.Client(
conf.aodh_version,
session=keystone_client.get_session(conf))
LOG.info('Aodh client created')
return client
except Exception:
... | 62bb9befd5ac99d8e7d210b655c3e31f8c85803f | 3,623,485 |
def import_data(wave):
"""brings 2 dataframes with all the features and series with y (panelpat)"""
# we predict particular wave attrition based on previous one, therefore we subtract 1 from wave number
wave = str(int(wave) - 1)
political = pd.read_csv(f'data/data_online_political_w{wave}.csv')
pers... | 1c3a72e608cb167c004eed76c38ef85b1d139ac6 | 3,623,486 |
from typing import Any
from typing import Optional
def _ensure_success(result: Any, attr: Optional[str], fail_msg: str) -> Any:
"""
Ensures that *status* is ``GattCommunicationStatus.SUCCESS``, otherwise
raises ``BleakError``.
Args:
result: The result returned by a WinRT API method.
a... | 139b9053717e3ef2a2e8d45231f4b80fbfe306fa | 3,623,487 |
def get_jaccard_sim(wordlist_a, wordlist_b):
"""Receive info for two documents and return jaccard similarity"""
# Get info from documents
cardinality_a = wordlist_a['cardinality']
cardinality_b = wordlist_b['cardinality']
# Bag of words
bag_of_words_a = wordlist_a['bag_of_words']
bag_of_word... | 2628d6a329062f391acf06c4f8a1eb483a84e3cd | 3,623,488 |
def tree_depth(t):
"""What is the max depth of t?"""
# n.b. car is always length 1 the way trees are currently parsed
subdepth = 0
for subtree in tree_cdr(t):
subdepth = max(subdepth, tree_depth(subtree))
return subdepth + 1 | dad7ab3e4c0a245c4f5b4d1ab0794c344bc8923c | 3,623,489 |
def vector_angle(pairs):
"""
Find the angles between pairs of unit vectors.
Parameters
----------
pairs : (n, 2, 3) float
Unit vector pairs
Returns
----------
angles : (n,) float
Angles between vectors in radians
"""
pairs = np.asanyarray(pairs, dtype=np.float64)
... | 66f227180b6ff750ae7220fd4dbfd4736cf9416e | 3,623,490 |
from typing import List
async def get_contestants(token: str, event_id: str) -> List[dict]:
"""Get the contestants in the event."""
try:
contestants = await EventsAdapter.get_contestants(token, event_id)
except ContestantsNotFoundException as e:
raise e from e
if not contestants or len... | b42acfddb9e80d2d72a376b9fa4531170d867891 | 3,623,491 |
import sys
def findVariantsInRange(vcfFname, chrom, start, end, strand, minFreq):
""" find variants that overlap the position.
varDb is a tuple of label, vcfFname
return as a dict relative position -> (chrom, pos, refAllele, altAllele, list of info-dicts)
special position is "label" which is the label... | 8e09974a87a7edbb4a7c7ba6385705650130e88b | 3,623,492 |
import re
def limpieza_basica(texto, quitar_numeros=True):
"""Limpieza básica del texto. Esta función realiza una limpieza básica del texto de entrada, \
transforma todo el texto a letras minúsculas, quita signos de puntuación y caracteres \
especiales, remueve espacios múltiples dejando solo espacio senc... | e3f55d513b1f0326c14ef6c21b31227e66ced5c2 | 3,623,493 |
def texture(data):
"""
Compute the texture of data.
Compute the texture of the data by comparing values with a 3x3 neighborhood
(based on :cite:`Gourley2007`). NaN values in the original array have
NaN textures. (Wradlib function)
Parameters:
==========
data : :class:`numpy:numpy.ndarra... | 5f5d9d4251f907676eef6e1aa8451fc5672ee74d | 3,623,494 |
def config_locator():
"""
Returns the path to the file containing your LAtools configurations.
"""
return pkgrs.resource_filename('latools', 'latools.cfg') | 86440567eeec92112a75d75473478d84b3f9b585 | 3,623,495 |
import os
import torch
def resnet50_fpn_backbone(pretrain_path="",
norm_layer=FrozenBatchNorm2d, # FrozenBatchNorm2d的功能与BatchNorm2d类似，但参数无法更新
trainable_layers=3,
returned_layers=None,
extra_blocks=None):
"""
... | 93db72b0e10debffbe8e073482167d1ce85934b0 | 3,623,496 |
def hasroyalflush(hand: list):
"""
Check if hand has royal flush
Royal Flush is a straight flush that consists of A, 10, J, Q, K
Parameters:
hand (list): The poker cards
Returns:
bool: True if hand is a Royal Flush
"""
if len(hand) == 5:
isroyal = False
cardval = [c... | 05ce5fb92762c749052a06d05886bcb1f5ea5180 | 3,623,497 |
import json
def get_lambda_config_property(context, property_name=None):
"""
Extract JSON properties from the JSON encoded description.
Return the value for the property, None if not found,
all properties if no name given.
"""
aws_lambda = boto3.client('lambda')
function_arn = context.inv... | 1f4f2e0f0ce684f07ba11e31bfa6666268cc9b53 | 3,623,498 |
def resolve_doi(doi):
"""
Takes as input a DOI and returns the internal HydroShare identifier (pid) for a resource.
This method will be used to get the HydroShare pid for a resource identified by a doi for
further operations using the web service API.
REST URL: GET /resolveDOI/{doi}
Parameter... | df198d9bb7324eecfd692dd1648b914180836313 | 3,623,499 |
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