content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def truth_seed_box(true_params, init_range, az_ind=4, zen_ind=5):
"""generate initial box limits from the true params
Parameters
----------
true_params : np.ndarray
init_range : np.ndarray
Returns
-------
np.ndarray
shape is (n_params, 2); returned energy limits are in units of... | 3c3087702be4b91589f7e75f5c7e2f18776a658a | 3,489 |
def summary(task):
"""Given an ImportTask, produce a short string identifying the
object.
"""
if task.is_album:
return u'{0} - {1}'.format(task.cur_artist, task.cur_album)
else:
return u'{0} - {1}'.format(task.item.artist, task.item.title) | 87387c47e90998c270f6f8f2f63ceacebd4cdc78 | 3,491 |
def ds_tc_resnet_model_params(use_tf_fft=False):
"""Generate parameters for ds_tc_resnet model."""
# model parameters
model_name = 'ds_tc_resnet'
params = model_params.HOTWORD_MODEL_PARAMS[model_name]
params.causal_data_frame_padding = 1 # causal padding on DataFrame
params.clip_duration_ms = 160
params... | b018fa56efd67d8378496d5b4b1975580fc92f89 | 3,492 |
def expected_calibration_error_evaluator(test_data: pd.DataFrame,
prediction_column: str = "prediction",
target_column: str = "target",
eval_name: str = None,
... | 0f34a5c0883325324b11fd9b97a8a55250574392 | 3,493 |
def format_bytes(size):
"""
Takes a byte size (int) and returns a formatted, human-interpretable string
"""
# 2**10 = 1024
power = 2 ** 10
n = 0
power_labels = {0: " bytes", 1: "KB", 2: "MB", 3: "GB", 4: "TB"}
while size >= power:
size /= power
n += 1
return str(round... | 332b9d43c044da92ef7a9b16e57cfa7d552de12f | 3,494 |
def load_input_data(filenames, Ag_class):
"""
Load the files specified in filenames.
Parameters
---
filenames: a list of names that specify the files to
be loaded.
Ag_class: classification of sequences from MiXCR txt file
(i.e., antigen binder = 1, non-binder = 0)
""... | 9ae9cc814f150168ca1703b1a4af54bc440b4425 | 3,495 |
from typing import Optional
def get_maximum_value(
inclusive: Optional[Edge] = None,
exclusive: Optional[Edge] = None,
ignore_unlimited: bool = False,
) -> Result[Boundary, TestplatesError]:
"""
Gets maximum boundary.
:param inclusive: inclusive boundary value or None
:param exclusive: e... | 3ef7557ed3f7f353e0765a92fb008449409039a8 | 3,496 |
from typing import List
def build_graph(order: int, edges: List[List[int]]) -> List[List[int]]:
"""Builds an adjacency list from the edges of an undirected graph."""
adj = [[] for _ in range(order)]
for u, v in edges:
adj[u].append(v)
adj[v].append(u)
return adj | 86bdd0d4314777ff59078b1c0f639e9439f0ac08 | 3,497 |
import torch
import math
def construct_scheduler(
optimizer,
cfg: OmegaConf,
):
"""
Creates a learning rate scheduler for a given model
:param optimizer: the optimizer to be used
:return: scheduler
"""
# Unpack values from cfg.train.scheduler_params
scheduler_type = cfg.train.sche... | d0ed907aa3582978cb3adf5eada895366dc1282f | 3,498 |
import numpy
def GenerateSerialGraph(num_samples, block_size):
""" Generates a (consistent) serial graph. """
N = num_samples
num_blocks = N // block_size
if N % block_size != 0:
err = "num_samples(%d) must be a multiple of block_size (%d)" % (num_samples, block_size)
raise Exception(... | 7348c08051aa0b7ec51f79f1f6f2097ab5857ef8 | 3,499 |
def load_ref_system():
""" Returns alpha-d-rhamnopyranose as found in the IQMol fragment library.
All credit to https://github.com/nutjunkie/IQmol
"""
return psr.make_system("""
C -0.8728 1.4263 -0.3270
O -1.5909 0.3677 0.2833
C -1.1433 -0.9... | ba8d952cb777fac9e9d445c0865027c2fe25fbe4 | 3,500 |
def find_python_root_dir(possibles):
"""Find a python root in a list of dirs
If all dirs have the same name, and one of them has setup.py
then it is probably common Python project tree, like
/path/to/projects/cd
/path/to/projects/cd/cd
Or, if all dirs are the same,
except that o... | 849d9f967899f1cdba7f9579891afbb7fb0580dc | 3,502 |
import time
def findEndpoint():
"""
scroll to bottom to get the last number
"""
print("Fetching school count")
clickToOpen()
# get scroller
scrollbar = driver.find_elements_by_class_name("scrollbar-inner")[1]
driver.execute_script("arguments[0].scrollBy(0,2);", scrollbar)
inner ... | 7f979df78ff7dbebc4819ee4f09c86d9d8c243c0 | 3,504 |
def _shake_shake_block(x, output_filters, stride, is_training):
"""Builds a full shake-shake sub layer."""
batch_size = tf.shape(x)[0]
# Generate random numbers for scaling the branches
rand_forward = [
tf.random_uniform(
[batch_size, 1, 1, 1], minval=0, maxval=1, dtype=tf.float32)
for _ ... | 29170e867ab8a01277adbbd49f60960408ceb28b | 3,505 |
def get_all_paged_events(decision, conn, domain, task_list, identity, maximum_page_size):
"""
Given a poll_for_decision_task response, check if there is a nextPageToken
and if so, recursively poll for all workflow events, and assemble a final
decision response to return
"""
# First check if the... | 5125c5bbff547a02496443477aee88165ece9d80 | 3,506 |
def get_pools():
""" gets json of pools. schema follows
#{
# "kind": "tm:ltm:pool:poolcollectionstate",
# "selfLink": "https://localhost/mgmt/tm/ltm/pool?ver=11.5.3",
# "items": [
# {
# "kind": "tm:ltm:pool:poolstate",
# "name": "mypoolname",
# "partit... | 36baa4d556a69a9498357b1a5534433fc8732683 | 3,507 |
def set_runner_properties(timestep, infguard=False, profile_nodenet=False, profile_world=False, log_levels={}, log_file=None):
"""Sets the speed of the nodenet calculation in ms.
Argument:
timestep: sets the calculation speed.
"""
if log_file:
if not tools.is_file_writeable(log_file):
... | a2ddcd6b33304cef4c03a55a78a691fa9b5d1112 | 3,508 |
def chunk_sum(vec, chunksize):
"""Computes the sums of chunks of points in a vector.
"""
Nchunks = len(vec)//chunksize
end = Nchunks*chunksize
arr = np.reshape(vec[:end], [Nchunks, chunksize])
sums = np.sum(arr, 1)
return sums | 036bfe2d2277d90339c2bcacc1c0943a96a52ece | 3,509 |
def get_feature_definitions(df, feature_group):
"""
Get datatypes from pandas DataFrame and map them
to Feature Store datatypes.
:param df: pandas.DataFrame
:param feature_group: FeatureGroup
:return: list
"""
# Dtype int_, int8, int16, int32, int64, uint8, uint16, uint32
# and uin... | 75573b3e8ed1f666b68dde2067b5b14655c341de | 3,511 |
def draw_2d_wp_basis(shape, keys, fmt='k', plot_kwargs={}, ax=None,
label_levels=0):
"""Plot a 2D representation of a WaveletPacket2D basis."""
coords, centers = _2d_wp_basis_coords(shape, keys)
if ax is None:
fig, ax = plt.subplots(1, 1)
else:
fig = ax.get_figure()
... | 5e731fa02c833f36c0cde833bfdb5d4b30706519 | 3,512 |
import numpy
def build_normalizer(signal, sample_weight=None):
"""Prepares normalization function for some set of values
transforms it to uniform distribution from [0, 1]. Example of usage:
>>>normalizer = build_normalizer(signal)
>>>pylab.hist(normalizer(background))
>>># this one should be unifo... | b4227364899468ca2017d9bedd87aff4bf35d9c6 | 3,513 |
from typing import Callable
from typing import Tuple
def get_phased_trajectory(init_state: np.ndarray,
update_fn: Callable) -> Tuple[np.ndarray, HashableNdArray]:
"""
evolve an initial state until it reaches a limit cycle
Parameters
----------
init_state
update_fn
... | 603aa9f3e626d51132b70b87321453cfacba579a | 3,515 |
import logging
import time
def exponential_backoff(func):
"""
Retries a Boto3 call up to 5 times if request rate limits are hit.
The time waited between retries increases exponentially. If rate limits are
hit 5 times, exponential_backoff raises a
:py:class:sceptre.exceptions.RetryLimitExceededExc... | 63db7514b88eb64ca0ee5d626be5a59f7d40d7d6 | 3,516 |
def post_config_adobe_granite_saml_authentication_handler(key_store_password=None, key_store_password_type_hint=None, service_ranking=None, service_ranking_type_hint=None, idp_http_redirect=None, idp_http_redirect_type_hint=None, create_user=None, create_user_type_hint=None, default_redirect_url=None, default_redirect_... | b6b082929904123f96c044753995ff1d19cb9cbf | 3,517 |
import json
def _pcheck(block):
""" Helper for multiprocesses: check a block of logs
Args:
block List[List[str], int]: lines, block_id
Returns:
[type]: [description]
"""
results = []
lines, block_id = block
for li, line in enumerate(lines):
json_line = json.load... | 3a581e3440079d5f31b00c86d84abee3eca0a396 | 3,519 |
import sqlite3
def fetch_exon_locations(database):
""" Queries the database to create a dictionary mapping exon IDs to
the chromosome, start, end, and strand of the exon """
conn = sqlite3.connect(database)
cursor = conn.cursor()
query = """
SELECT
e.edge_ID,
loc1.chromosome,
MIN(loc1.position,... | 54cdd3ffa2ccd10bd777f9130caaae992ac3d451 | 3,520 |
import http
def add(request):
"""Displays/processes a form to create a collection."""
data = {}
if request.method == 'POST':
form = forms.CollectionForm(
request.POST, request.FILES,
initial=initial_data_from_request(request))
aform = forms.AddonsForm(request.POST)
... | 04491d0465e09057a2e6c3cc7b80f41ff84314ec | 3,521 |
def get_camera_pose_cpp():
"""
Returns camera pose
"""
rospy.wait_for_service('/asr_robot_model_services/GetCameraPose', timeout=5)
pose = rospy.ServiceProxy('/asr_robot_model_services/GetCameraPose',GetPose)
return pose().pose | b52be4a613d1de482387f6643ea12181f84f6cf4 | 3,522 |
import copy
def _convert_model_from_bytearray_to_object(model_bytearray):
"""Converts a tflite model from a bytearray into a parsable object."""
model_object = schema_fb.Model.GetRootAsModel(model_bytearray, 0)
model_object = schema_fb.ModelT.InitFromObj(model_object)
model_object = copy.deepcopy(model_object... | 9579b58438571b41e8451a13d5e292e142cd6b57 | 3,523 |
import requests
def get_service_mapping():
""" Get mapping dict of service types
Returns:
A mapping dict which maps service types names to their ids
"""
# Get all Service types:
all_service_type = requests.get(base_url + 'services/v2/service_types', headers=headers3).json()
# Make... | 8a8adb8fff086b323dd95012c1a901918afa2bc2 | 3,524 |
def get_recently_viewed(request):
""" get settings.PRODUCTS_PER_ROW most recently viewed products for current customer """
t_id = tracking_id(request)
views = ProductView.objects.filter(tracking_id=t_id).values(
'product_id').order_by('-date')[0:PRODUCTS_PER_ROW]
product_ids = [v['product_id'] f... | 048187566446294285c7c8fe48b3dafba5efdcc1 | 3,525 |
import re
def chapter_by_url(url):
"""Helper function that iterates through the chapter scrapers defined in
cu2.scrapers.__init__ and returns an initialized chapter object when it
matches the URL regex.
"""
for Chapter in chapter_scrapers:
if re.match(Chapter.url_re, url):
retu... | 83112ab2b68faf7d48a7a8fab3cd359ff442550d | 3,526 |
def get_model_name(part_num):
"""
根据型号获取设备名称
:param part_num:
:return:
"""
models = current_config.MODELS
for model_name, model_part_num in models.items():
if model_part_num == part_num:
return model_name | 843489174c844e05752f499f250a30b157ae386e | 3,527 |
def run_get_pk(process, *args, **inputs):
"""Run the process with the supplied inputs in a local runner that will block until the process is completed.
:param process: the process class or process function to run
:param inputs: the inputs to be passed to the process
:return: tuple of the outputs of the... | 782c3b49b90347a48495f2b7b48e34c2418d31a1 | 3,528 |
def _random_mask(target_tokens, noise_probability=None, target_length=None):
""" target_length其实是mask_length"""
unk = 3
target_masks = get_base_mask(target_tokens)
if target_length is None:
target_length = target_masks.sum(1).float()
if noise_probability is None:
# sample ... | 89e603c7a5bfd4fd6fa1d6a36cea3e429e7bd6b7 | 3,529 |
def calculate(cart):
"""Return the total shipping cost for the cart. """
total = 0
for line in cart.get_lines():
total += line.item.shipping_cost * line.quantity
return total | 4b6d9bd94ce3a5748f0d94ab4b23dab993b430e4 | 3,531 |
def arr_to_rgb(arr, rgb=(0, 0, 0), alpha=1, invert=False, ax=None):
"""
arr to be made a mask
rgb:assumed using floats (0..1,0..1,0..1) or string
"""
# arr should be scaled to 1
img = np.asarray(arr, dtype=np.float64)
img = img - np.nanmin(img)
img = img / np.nanmax(img)
im2 = np.ze... | 73a19cfed712d93cbbaa69454ca2df780bc523fa | 3,532 |
def parameters(number, size, v=3):
"""
sets item parameters of items and puts in list
:param number: number of items
:param size: characteristic size of the items
:param v: velocity
:return: list with items
"""
param = []
for i in range(number):
angle = randint(0, int(2 * pi ... | 1b2ad225359c53ce4dd3feb9d356b1637c76c79c | 3,533 |
def _validate_args_for_toeplitz_ops(c_or_cr, b, check_finite, keep_b_shape,
enforce_square=True):
"""Validate arguments and format inputs for toeplitz functions
Parameters
----------
c_or_cr : array_like or tuple of (array_like, array_like)
The vector ``c``, ... | 977a40e279d3a0000cc03b181e65182e2fe325cc | 3,534 |
def get_application_id():
"""Returns the app id from the app_identity service."""
return app_identity.get_application_id() | f23f6ac7473f81af6c2b40807dd20f8f602bbd96 | 3,536 |
def prior(X, ls, kernel_func=rbf,
ridge_factor=1e-3, name=None):
"""Defines Gaussian Process prior with kernel_func.
Args:
X: (np.ndarray of float32) input training features.
with dimension (N, D).
kernel_func: (function) kernel function for the gaussian process.
D... | 6ca9d150924473a0b78baa8da4e0734b7719e615 | 3,537 |
def multiclass_eval(y_hat: FloatTensor, y: IntTensor) -> int:
"""
Returns number correct: how often the rounded predicted value matches gold.
Arguments:
y_hat: 2d (N x C): guesses for each class
y: 2d (N x C): onehot representation of class labels
Returns:
nubmer correct
""... | 6385d1113a0c29191a8951a30d8219278511451d | 3,539 |
def extract止めないでお姉さま(item):
"""
Parser for '止めないで、お姉さま…'
"""
badwords = [
'subs',
]
if any([bad in item['tags'] for bad in badwords]):
return None
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or 'preview' in item['title'].lower():
return None
if 'WA... | 1ee52b649fbf24452285c44538b1bfc0fe3cb0c8 | 3,541 |
import urllib
import json
def GetExpID(startRow=0,numRows=2000,totalRows = -1):
"""
Queries the Allen Mouse Brain Institute website for all gene expression data available for download.
Returns:
--------
GeneNames: list[dict()]
list of all genes where expression data is available for download. Dict contains ex... | f361e94b5d2c61bc80b182c2ee63a734d7e8dc4e | 3,542 |
from typing import Counter
def _add_biotype_attribute(gene_content):
"""
Add `biotype` attribute to all intervals in gene_content.
Parameters
----------
gene_content_ : dict
Intervals in gene separated by transcript id.
Returns
-------
dict
Same gene_content_ object w... | 21e09ebd4048acf4223855c23b819352aac013db | 3,543 |
def random_solution(W, D, n):
"""
We generate a solution of size n
"""
sol = np.random.permutation(n) + 1
fitness_sol = fitness(W=W, D=D, sol=sol)
return [fitness_sol, sol] | be95c1f08591e90e0e808ea7938763bb7fecd1da | 3,544 |
def format_perm(model, action):
"""
Format a permission string "app.verb_model" for the model and the
requested action (add, change, delete).
"""
return '{meta.app_label}.{action}_{meta.model_name}'.format(
meta=model._meta, action=action) | 12f532e28f685c2a38a638de63928f07039d44c8 | 3,545 |
def verify_password(plain_password: str, hashed_password: str) -> bool:
"""Verify plain password and hashed password.
Args:
plain_password (str): Plain text password.
hashed_password (str): Hashed password.
Returns:
bool: Returns true if secret is verified against given hash.
"... | adb7ac87516a02298468858216481d9ddad1ce13 | 3,546 |
from typing import List
from typing import Dict
def render_siecle2(tpl: str, parts: List[str], data: Dict[str, str]) -> str:
"""
>>> render_siecle2("siècle2", ["1"], defaultdict(str))
'I<sup>er</sup>'
>>> render_siecle2("siècle2", ["I"], defaultdict(str))
'I<sup>er</sup>'
>>> render_siecle2("s... | d0abd2703aebf3a05c0cc893c6678ed6683bb31a | 3,547 |
def get_interactions(request):
"""Function to get the interactions for a molecule"""
dist_dict = {"SingleAtomAcceptor_SingleAtomDonor": {"dist": 4.0}, # H-bonding
"SingleAtomAcceptor_WeakDonor": {"dist": 3.0}, # Weak H-bond
"Halogen_SingleAtomAcceptor": {"dist": 4.0}, # H... | 86d4444b1c4a9251e8be91f453e1489234edf087 | 3,548 |
import json
def sendmail_action():
"""Send an email to the address entered in the sendmail form."""
if not MSGRAPHAPI.loggedin:
redirect("/sendmail")
email_body = json.dumps(
{
"Message": {
"Subject": request.query.subject,
"Body": {"ContentTyp... | ed4f31ee22005e9ea1b3e24ca92b33be3980ebe2 | 3,549 |
import math
def normal_to_angle(x, y):
"""
Take two normal vectors and return the angle that they give.
:type x: float
:param x: x normal
:type y: float
:param y: y normal
:rtype: float
:return: angle created by the two normals
"""
return math.atan2(y, x) * 180 / math.pi | c6f5b5e2952858cd3592b4e0849806b0ccd5de78 | 3,551 |
def glDeleteFramebuffersEXT( baseOperation, n, framebuffers=None ):
"""glDeleteFramebuffersEXT( framebuffers ) -> None
"""
if framebuffers is None:
framebuffers = arrays.GLuintArray.asArray( n )
n = arrays.GLuintArray.arraySize( framebuffers )
return baseOperation( n, framebuffers ) | 8c14fa4ce55c6fe995c01822776b17728e132987 | 3,552 |
def outline(image, mask, color):
"""
Give a color to the outline of the mask
Args:
image: an image
mask: a label
color: a RGB color for outline
Return:
image: the image which is drawn outline
"""
mask = np.round(mask)
... | dc66410053e2326965c591a9d3b566e477133295 | 3,554 |
import socket
def is_open_port(port):
"""
Check if port is open
:param port: port number to be checked
:type port: int
:return: is port open
:rtype: bool
"""
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
s.bind(("127.0.0.1", port))
except socket.error:
... | df81cc942f39d00bbdb8cb11628666a117c9788f | 3,556 |
def stopping_fn_from_metric(metric_name: str):
"""
Returns a stopping function for ignite.handlers.EarlyStopping using the given metric name.
"""
def stopping_fn(engine: Engine):
return engine.state.metrics[metric_name]
return stopping_fn | c6b47fd417134eb72c017a4cd55b8dfc995ea0c5 | 3,557 |
def build_attribute_set(items, attr_name):
"""Build a set off of a particular attribute of a list of
objects. Adds 'None' to the set if one or more of the
objects in items is missing the attribute specified by
attr_name.
"""
attribute_set = set()
for item in items:
attribute_set.add(... | 2cee5922463188a4a8d7db79d6be003e197b577f | 3,559 |
def potential_fn(q):
"""
- log density for the normal distribution
"""
return 0.5 * np.sum(((q['z'] - true_mean) / true_std) ** 2) | f2b4ff07b7188494c9901c85f3b920e9d273a3f4 | 3,560 |
import yaml
def patch_rbac(rbac_v1: RbacAuthorizationV1Api, yaml_manifest) -> RBACAuthorization:
"""
Patch a clusterrole and a binding.
:param rbac_v1: RbacAuthorizationV1Api
:param yaml_manifest: an absolute path to yaml manifest
:return: RBACAuthorization
"""
with open(yaml_manifest) as... | 1830cc26dc79674bfb628556e34572ddc6d6e89e | 3,562 |
def _shp_to_boundary_gdf(shp_file_path):
""".shpかshpが格納された.zipを指定してgdfを作成する
Args:
shp_file_path (Path): 変換対象のshpファイルを格納するディレクトリのパス文字列
Returns:
gpd.GeoDataFrame: shpを変換したGeoDataFrame
"""
s2g = ShapeToGeoPandas(str(shp_file_path.resolve()))
gdf = s2g.gdf
necessary_columns =... | 4e1aef42f6bb16f184f0669b37dc7720851bee14 | 3,563 |
import random
def insert_site(site, seq, offset=None):
"""Inserts a sequence (represeting a site) into a larger sequence (which
is a sequence object rather than a series of letters."""
# inputs:
# site The site to be inserted
# offsets the offset where the site is to be ... | 88a4df8e2ab094337a27d0e2d84c2078dfed5cc4 | 3,564 |
def sex2bpzmags(f, ef, zp=0., sn_min=1., m_lim=None):
"""
This function converts a pair of flux, error flux measurements from SExtractor
into a pair of magnitude, magnitude error which conform to BPZ input standards:
- Nondetections are characterized as mag=99, errormag=m_1sigma
- Objects with absur... | ec95566f680326cd550626495a6983d0221ae29b | 3,565 |
def get_elk_command(line):
"""Return the 2 character command in the message."""
if len(line) < 4:
return ""
return line[2:4] | 550eda4e04f57ae740bfd294f9ec3b243e17d279 | 3,566 |
def safe_div(a, b):
"""
Safe division operation. When b is equal to zero, this function returns 0.
Otherwise it returns result of a divided by non-zero b.
:param a: number a
:param b: number b
:return: a divided by b or zero
"""
if b == 0:
return 0
return a / b | 68e5bccbe812315b9a1d27a1fa06d26d5339d6fd | 3,567 |
def decrypt_story():
"""
Using the methods you created in this problem set,
decrypt the story given by the function getStoryString().
Use the functions getStoryString and loadWords to get the
raw data you need.
returns: string - story in plain text
"""
story = CiphertextMessage(get_story... | af636efedf5e95847c4a7dd52031cfc3dfa094a0 | 3,568 |
def shouldAvoidDirectory(root, dirsToAvoid):
"""
Given a directory (root, of type string) and a set of directory
paths to avoid (dirsToAvoid, of type set of strings), return a boolean value
describing whether the file is in that directory to avoid.
"""
subPaths = root.split('/')
for i, sub... | afc92111f57031eb1e2ba797d80ea4abc2a7ccd0 | 3,569 |
def atom_explicit_hydrogen_valences(xgr):
""" explicit hydrogen valences, by atom
"""
return dict_.transform_values(atom_explicit_hydrogen_keys(xgr), len) | e409b82606f113373086ca52689baeb117d3a8ea | 3,570 |
def change_account_type(user_id):
"""Change a user's account type."""
if current_user.id == user_id:
flash('You cannot change the type of your own account. Please ask '
'another administrator to do this.', 'error')
return redirect(url_for('admin.user_info', user_id=user_id))
u... | 3c13b4ea1d3b080a4c925d576eee29c61346363a | 3,571 |
import re
def test_runner(filtered_tests, args):
"""
Driver function for the unit tests.
Prints information about the tests being run, executes the setup and
teardown commands and the command under test itself. Also determines
success/failure based on the information in the test case and generate... | 39e1af33a563dd9915ec6f107c8dd1f199528cab | 3,572 |
def get_all_infos_about_argument(db_argument: Argument, main_page, db_user, lang) -> dict:
"""
Returns bunch of information about the given argument
:param db_argument: The argument
:param main_page: url of the application
:param db_user: User
:param lang: Language
:rtype: dict
:return:... | 56c03e8d11d23c3726b54b2d2be954ecefba786b | 3,573 |
def average_proxy(ray, method, proxy_type):
""" method to average proxy over the raypath.
Simple method is direct average of the proxy: $\sum proxy(r) / \sum dr$.
Other methods could be: $1/(\sum 1 / proxy)$ (better for computing \delta t)
"""
total_proxy = 0.
try:
methode.evaluation
... | 912925339f6a2087020781e898de102c3ee4f0d6 | 3,574 |
import _datetime
from datetime import datetime
def after(base=_datetime, diff=None):
"""
count datetime after diff args
:param base: str/datetime/date
:param diff: str
:return: datetime
"""
_base = parse(base)
if isinstance(_base, datetime.date):
_base = midnight(_base)
res... | 80f3ccb2d45f247a93a0d69bf0a55bc9264ee7de | 3,575 |
import string
def open_lib(ifile):
"""Opens lib with name ifile and returns stationmeta, arraydim, rlengths, heights, sectors, data."""
with open(ifile, 'rb') as f:
lines = f.readlines()
lines = [x.strip() for x in lines]
data = {}
lines = filter(lambda x: x.strip(), lines)
... | 22fb842112f1558ab086058d997e08cb416e9a19 | 3,576 |
def convert_examples_to_features(examples, intent_label_list, slot_label_list, max_seq_length,
tokenizer):
"""Convert a set of `InputExample`s to a list of `InputFeatures`."""
features = []
for (ex_index, example) in enumerate(examples):
if ex_index % 10000 == 0:
tf.log... | 078f6e23e3a2f42a12851763a3424d938569d25b | 3,577 |
from bs4 import BeautifulSoup
def get_blb_links(driver):
"""takes (driver) and returns list of links to scrape"""
homepage = "https://www.bloomberg.com/europe"
rootpage = "https://www.bloomberg.com"
driver.get(homepage)
ssm = driver.find_elements_by_class_name("single-story-module")[0].get_attribu... | f2ecf967aa6e755b51e43450239b5606013cb9bf | 3,578 |
def randomProfile(freq,psd):
"""
Generate a random profile from an input PSD.
freq should be in standard fft.fftfreq format
psd should be symmetric as with a real signal
sqrt(sum(psd)) will equal RMS of profile
"""
amp = np.sqrt(psd)*len(freq)
ph = randomizePh(amp)
f = amp*ph
sig... | 54477fc37bb81c24c0bde3637112a18613201565 | 3,579 |
def getP(W, diagRegularize = False):
"""
Turn a similarity matrix into a proability matrix,
with each row sum normalized to 1
:param W: (MxM) Similarity matrix
:param diagRegularize: Whether or not to regularize
the diagonal of this matrix
:returns P: (MxM) Probability matrix
"""
if ... | 1c5c7da2e86b5c800660acaf825507914cd630ce | 3,580 |
def get_structure_index(structure_pattern,stream_index):
"""
Translates the stream index into a sequence of structure indices identifying an item in a hierarchy whose structure is specified by the provided structure pattern.
>>> get_structure_index('...',1)
[1]
>>> get_structure_index('.[.].',1)
... | 8f1def101aa2ec63d1ea69382db9641bf0f51380 | 3,581 |
import random
import torch
def n_knapsack(n_knapsacks=5,
n_items=100, # Should be divisible by n_knapsack
n_weights_per_items=500,
use_constraints=False,
method='trust-constr',
backend='tf'
):
"""
Here we solve a contin... | ed4068bad29aff385a86286eab224da3c1beefa5 | 3,582 |
def has_url(account: Accounts) -> bool:
"""Return True if the account's note or fields seem to contain a URL."""
if account.note and "http" in account.note.lower():
return True
if "http" in str(account.fields).lower():
return True
return False | d858ef1bedcac064bbc9a5c20de02b1438c5cdad | 3,583 |
def conv2x2(in_planes, out_planes, stride=1, groups=1, dilation=1, padding=0):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes,
out_planes,
kernel_size=2,
stride=stride,
padding=padding,
groups... | a96112cd56817940292f92b5417584f18b7d2fb7 | 3,584 |
def face_normals(P,T,normalize=True):
"""Computes normal vectors to triangles (faces).
Args:
P: n*3 float array
T: m*3 int array
normalize: Whether or not to normalize to unit vectors. If False, then the magnitude of each vector is twice the area of the corresponding tria... | 379c82624aeb1a772befb91acee1b46a7ff7f937 | 3,585 |
import itertools
def transform_pairwise(X, y):
"""Transforms data into pairs with balanced labels for ranking
Transforms a n-class ranking problem into a two-class classification
problem. Subclasses implementing particular strategies for choosing
pairs should override this method.
In this method, ... | d4c376fe1a594f6baecb78aeaa11e90bffcde8a5 | 3,586 |
def format_project_title(rank: int, project_id: str, status: str) -> str:
"""Formats a project title for display in Slack.
Args:
rank: The rank of in the list. Will be prepended to the title.
project_id: The project ID.
status: The status of the project. This is used to determine which
... | 35a8b7dd2c3e8afd3975ddf97056a81d631e3576 | 3,587 |
def fake_3dimage_vis():
"""
:return: a Nifti1Image (3D) in RAS+ space
Following characteristics:
- shape[LR] = 7
- shape[PA] = 8
- shape[IS] = 9
Visual thing using voxel art...
"""
shape = (7,8,9)
data = np.zeros(shape, dtype=np.float32, order="F")
# "L"
indices =np... | 65d766d04a6a85e5cafcdc0d7c62e2f3974caa5b | 3,588 |
import atexit
def watch_dependencies(dependency, func, time_execution=15000, registry=None, app=current_app):
"""
Register dependencies metrics up
"""
if not registry:
registry = app.extensions.get("registry", CollectorRegistry())
app.extensions["registry"] = registry
# pylint: d... | f502f3e1e6beba5169160459bc0887462ac6662c | 3,589 |
def view_cache_key(func, args, kwargs, extra=None):
"""
Calculate cache key for view func.
Use url instead of not properly serializable request argument.
"""
if hasattr(args[0], 'build_absolute_uri'):
uri = args[0].build_absolute_uri()
else:
uri = args[0]
return 'v:' + func_c... | 85139dc6a77d3758b6e691b565361b390c643e91 | 3,590 |
def get_filter(sampling_freq, f_pass, f_stop, taps):
"""Get FIR filter coefficients using the Remez exchange algorithm.
Args:
f_pass (float): Passband edge.
f_stop (float): Stopband edge.
taps (int): Number of taps or coefficients in the resulting filter.
Returns:
(numpy.nd... | a0fb303ad74ee6e60dd0521af5e00b4b1d1d42e0 | 3,591 |
def errorcode_from_error(e):
"""
Get the error code from a particular error/exception caused by PostgreSQL.
"""
return e.orig.pgcode | 981b447d540e949834c10f4a05fb21769091b104 | 3,592 |
def _comp_point_coordinate(self):
"""Compute the point coordinates needed to plot the Slot.
Parameters
----------
self : SlotW28
A SlotW28 object
Returns
-------
point_dict: dict
A dict of the slot point coordinates
"""
Rbo = self.get_Rbo()
# alpha is the angle... | 0938c9ecba5e9fc1ed76e804e8eab6f9bd97f253 | 3,593 |
from typing import IO
def save_expected_plot(series: pd.Series, colour="C0") -> IO:
"""Return an image of the plot with the given `series` and `colour`."""
fig, ax = plt.subplots()
ax.add_line(mpl_lines.Line2D(series.index, series.values, color=colour))
return _save_fig(fig, ax) | 6c898a622f983cebd46fb368a40e2a492bddb37f | 3,594 |
def GRU_architecture(
GRU_layers,
GRU_neurons,
Dense_layers,
Dense_neurons,
add_Dropout,
Dropout_rate,
data_shape,
):
"""
Parameters
----------
GRU_layers : int
Number of GRU layers.
GRU_neurons : list
List with the numbers of GRU cells in each GRU layer.
... | 77c2aaed6a82f2f4aedade73649d843ff8afd2e2 | 3,595 |
def create_lock(name):
"""Creates a file in the /locks folder by the given name"""
lock_path = get_lock_path(name)
if not check_lock(lock_path):
return touch_file(lock_path)
else:
return False | 1f5e4d43a85a01aaba19295a72cdee20fd7adb1b | 3,596 |
def gen_rigid_tform_rot(image, spacing, angle):
"""
generate a SimpleElastix transformation parameter Map to rotate image by angle
Parameters
----------
image : sitk.Image
SimpleITK image that will be rotated
spacing : float
Physical spacing of the SimpleITK image
angle : flo... | 5cadbd59340328d1af5e4ec2c5c0c47e69e19013 | 3,597 |
def get_param_response(param_name, dict_data, num=0, default=None):
"""
:param param_name: 从接口返回值中要提取的参数
:param dict_data: 接口返回值
:param num: 返回值中存在list时，取指定第几个
:param default: 函数异常返回
:return: 提取的参数值
"""
if isinstance(dict_data, dict):
for k, v in dict_data.items():
if... | b9ffa5dfe6e9707771a812dad1d8d9284acbc2e7 | 3,598 |
def _strict_conv1d(x, h):
"""Return x * h for rank 1 tensors x and h."""
with ops.name_scope('strict_conv1d', values=[x, h]):
x = array_ops.reshape(x, (1, -1, 1, 1))
h = array_ops.reshape(h, (-1, 1, 1, 1))
result = nn_ops.conv2d(x, h, [1, 1, 1, 1], 'SAME')
return array_ops.reshape(result, [-1]) | dabe247f97c285ed5d250d7d8d99dae5795a8fec | 3,599 |
def timed_zip_map_agent(func, in_streams, out_stream,
call_streams=None, name=None):
"""
Parameters
----------
in_streams: list of Stream
The list of input streams of the agent.
Each input stream is timed, i.e. the elements
are pairs (timestam... | 0c23ff84ed72ee25b04bf118d57203c7831702e8 | 3,600 |
def get_repository_ids_requiring_prior_install( trans, tsr_ids, repository_dependencies ):
"""
Inspect the received repository_dependencies and determine if the encoded id of each required repository is in the received tsr_ids. If so,
then determine whether that required repository should be installed prio... | 035e7f358b8af7d4915b255b988f1fabc56605c1 | 3,601 |
from typing import Iterable
from typing import Tuple
from typing import List
def get_words_and_spaces(
words: Iterable[str], text: str
) -> Tuple[List[str], List[bool]]:
"""Given a list of words and a text, reconstruct the original tokens and
return a list of words and spaces that can be used to create a ... | 205c48435018a99433fce298a6035de902774810 | 3,602 |
from typing import List
import ast
def parse_names(source: str) -> List['Name']:
"""Parse names from source."""
tree = ast.parse(source)
visitor = ImportTrackerVisitor()
visitor.visit(tree)
return sum([split_access(a) for a in visitor.accessed], []) | 42f622052bc8acd5cdec187cd16695cec3b86154 | 3,603 |
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