content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
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 load_aggregates(affiliations, a_agg, d_agg, table, dry_run=False):
"""
Description: Will take a dict of affiliation statuses, total affiliation, and individual and load them
into the VP database.
Args:
affiliations (dict): Keyed on carId. Expects a similar format to
'<carId>... | bf02747b35ddc807460e7e47c5e475a2af34ffb5 | 3,501 |
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 collections
import shutil
import os
def _unzip_and_handle_result(zip_content, run, output_handler, benchmark):
"""
Call handle_result with appropriate parameters to fit into the BenchExec expectations.
"""
result_values = collections.OrderedDict()
def _open_output_log(output_path):
... | 42aff71f890e6c3340f2a194d0d852a6451bfe05 | 3,503 |
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 |
import os
import shutil
import time
import zipfile
def install_custom_app(app, app_url, app_trigger = "False"):
"""this function is used to install custom apps"""
if app.endswith(".zip"):
app = app.split(".")[0]
if app.endswith(".git"):
app = app.split(".")[0]
if not os.path.exists(wap... | fd6729ef9abdf1c85a7b09d3cd368ffd68a117e9 | 3,510 |
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 |
def get_angler_tag_recoveries(project_slug, tagstat="A"):
"""This is a helper function used by tags_applied_project(). It uses
raw sql to retrieve all of the non-MNR recoveries of tags applied
in a particular project. Only recap's with both a lat and lon and
of the same species as the original tagging ... | 709b12dff26ce797916a0617c97c6df2afa9efc6 | 3,514 |
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 os
def get_req_env(var_name: str) -> str:
"""
Try to get environment variable and exits if not available
"""
try:
return os.environ[var_name]
except KeyError:
print(f"Missing required environment variable '{var_name}'.")
exit(1) | c1dadd65bf1da91f7304246d236afc922e65fb54 | 3,518 |
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 |
import os
import urllib
import shutil
import tarfile
def download_and_extract(data_dir, force=False):
"""Download fname from the datasets_url, and save it to target_dir,
unless the file already exists, and force is False.
Parameters
----------
data_dir : str
Directory of where to download ... | 39d9b3dcd0497a2b8742e2fc68e3af87284094db | 3,530 |
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 |
from unittest.mock import call
import os
def run_dft_en_par(dft_input:str, structure,
dft_loc:str, ncpus:int, dft_out:str ="dft.out",
npool:int =None, mpi:str ="mpi", **dft_kwargs):
"""run DFT calculation with given input template
and atomic configurations. This function is not used atm.
... | 49084edbace0bde5e451359c11f4140e0dd6a6ed | 3,535 |
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 |
import os
def ast_for_statement(statement: Ast, ctx: ReferenceDict):
"""
statement
::= (label | let | expr | into | importExpr) [';'];
"""
# assert statement.name == 'statement'
sexpr = statement[0]
s_name: str = sexpr.name
try:
if s_name is UNameEnum.expr: # expr
... | 4718adfc4b5a1beb7bb4f72a1464fdd878e2d38f | 3,538 |
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 |
from typing import Dict
import sys
import unicodedata
def punctuation_for_spaces_dict() -> Dict[int, str]:
"""Provide a dictionary for removing punctuation, keeping spaces. Essential for scansion
to keep stress patterns in alignment with original vowel positions in the verse.
:return dict with punctuation... | 07551f80ab6736788b555ebfb1a443a318d0cc21 | 3,540 |
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 argparse
def parseArg():
"""
CMD argument parsing
:return: the parser
"""
parser = argparse.ArgumentParser(description='SAT solver')
parser.add_argument('infile', nargs=1, type=argparse.FileType('r'))
parser.add_argument('level', nargs='?', default=0, type=int)
return parser | 9bb757294d699208307c9a7188396f84743dcc28 | 3,550 |
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 |
import yaml
import json
def enforce(data, service=False, tenant=None):
"""Enforce zone app or service."""
tstr = " -tenant=%s " % (tenant) if tenant else ""
ostr = " -enforce-service " if service else " -enforce-zone-app "
ret_val = {}
if not data:
ret_val['empty'] = {"success": "Empty en... | b6b9ce5e86e21cf540844232dbddd11168b7ba81 | 3,553 |
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 |
def bogen_ab(dl, dr):
"""Bogen abwärts, für weites D (durch usw.).
Ende nur spitz wenn allein steht, sonst letzten Stützpunkt etwas früher,
letzten Kontrollpunkt für Fortsetzung in gleicher Richtung setzen, damit
glatte Verbindung zu Folgekonsonant.
"""
y0 = 0.5 # Höhe Anfang- und Endpunkt
... | 64ea1ca1fad647b021b5088c9df96bcce50c646c | 3,555 |
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 deconstruct_proto(model_proto, compression_pipeline):
"""Deconstruct the protobuf.
Args:
model_proto: The protobuf of the model
compression_pipeline: The compression pipeline object
Returns:
protobuf: A protobuf of the model
"""
# extract the tensor_dict and metadata
... | 5a8878c84fef7094ba334d976f80b32be4561d7d | 3,558 |
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 |
from typing import Union
import torch
from typing import Tuple
def estimate_pointcloud_local_coord_frames(
pointclouds: Union[torch.Tensor, "Pointclouds"],
neighborhood_size: int = 50,
disambiguate_directions: bool = True,
) -> Tuple[torch.Tensor, torch.Tensor]:
"""
Estimates the principal directi... | c2ffe5482e959d2b15dbd0df0ac71df5d043af01 | 3,561 |
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 |
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