content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from typing import Union
from typing import Type
from typing import Optional
def unwrap_vec_wrapper(env: Union["GymEnv", VecEnv], vec_wrapper_class: Type[VecEnvWrapper]) -> Optional[VecEnvWrapper]:
"""
Retrieve a ``VecEnvWrapper`` object by recursively searching.
:param env:
:param vec_wrapper_class:... | 9d544e9789499e63303407ebfb472001b218b304 | 40,157 |
import re
def parseLintignoreText(lintignoreText):
"""
*lintignoreText* should be the text of a 'lintignore' file. Return
the corresponding list of regexes to match against file paths.
"""
lintignoreLines = joinLists([parseLintignoreLine(x)
for x in lintignoreText.... | 633268d4816b544a917320a7a21862b480c64ae8 | 40,158 |
import json
from typing import Counter
def statistics(uid):
"""Return url statistics
Arguments:
- `uid`: The hashed id of the url
"""
if not DB.exists(uid):
abort(404)
else:
entry = DB.get(uid)
entry = json.loads(entry)
short_link = uid
full_link = ent... | d223a59e5d72e7f3aed9ef9247c45636adcab599 | 40,159 |
def ProfileMatrix(kmer_list, k, t, mode, pseudo_count=1): # nrow = t, ncol = k
"""Input a list of kmers and output a entropy score or profile probilities.
It can be switched to hamming distance score by setting mode.
"""
matrix = [[0] * k for i in range(4)] # Initiate a zero-filled nested list.
f... | dc474d0a8dd210be1234763b0d5f141e6c3fa7e4 | 40,160 |
import re
def you_to_yall(text: str) -> str:
"""Convert all you's to y'all."""
pattern = r'\b(y)(ou)\b'
return re.sub(pattern, r"\1'all", text, flags=re.IGNORECASE) | 1a3ee7ebf2394f84ad296e18da789dff8ca50a12 | 40,161 |
def svn_client_list4(*args):
"""svn_client_list4(char const * path_or_url, svn_opt_revision_t peg_revision, svn_opt_revision_t revision, apr_array_header_t patterns, svn_depth_t depth, apr_uint32_t dirent_fields, svn_boolean_t fetch_locks, svn_boolean_t include_externals, svn_client_list_func2_t list_func, void * b... | 5a1496f09209da8e42c199518a53e3cf4e655f91 | 40,162 |
from typing import List
def trivial_max_gcd_sum(arr_a: List[int], arr_b: List[int]) -> int:
"""Calculate max gcd sum.
Complexity: O(n^2).
"""
max_gcd = 0
max_sum = 0
for num_a in arr_a:
for num_b in arr_b:
cur_gdc = gcd(num_a, num_b)
if cur_gdc > max_gcd:
... | 857bf53f77e71e0aff8774641054c35927cdb8d4 | 40,163 |
import re
def get_displays():
"""
Return the list of displays.
"""
# get dispays names
conns = ["xrandr", "--query"]
res = Popen(conns, stdout=PIPE).communicate()[0].decode(ENC)
regex = r"\n([^\s]*) (connected|disconnected).*"
names = [res[0] for res in re.findall(regex, res)]
# cr... | a03e10e780e6e6e91917a1d63532fd4ad522089f | 40,164 |
def tjur_r2(y_true, y_score):
"""
Tjur Pseudo R-squared
Parameters
----------
y_true : numpy array
True values (observed response).
y_score : numpy array
Predicted probabilities.
Returns
-------
t_r2 : float
Tjur Pseudo R-squared.
"""
y_mu1 = y_scor... | 0be5ec44a8f6973219c044f7f2378eba3a6aecfb | 40,165 |
def get_full_std_lib(indent=0):
""" Get the code for the full PyScript standard library.
The given indent specifies how many sets of 4 spaces to prepend.
If the full stdlib is made available in JavaScript, multiple
snippets of code can be transpiled without inlined stdlib parts by
using ``py2js... | 9349d3f565cb6a615e7e421e2f460b4ce38aae22 | 40,166 |
def unit(aClass, value):
""" Calls the 'unit' method of 'aClass' with 'value'. """
return aClass.unit(value) | 58c69898fc024a4ed31e4f7fd10f7fd287af565b | 40,167 |
from typing import Optional
def list_location_consortiums(location_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableListLocationConsortiumsResult:
"""
Collection of the consortium payload.
:param str location_name: Location Name.
"""
... | bb6e37971495e46911bde0f698239447e50edcec | 40,168 |
from typing import Tuple
def typeshed_py_version(options: Options) -> Tuple[int, int]:
"""Return Python version used for checking whether module supports typeshed."""
# Typeshed no longer covers Python 3.x versions before 3.6, so 3.6 is
# the earliest we can support.
if options.python_version[0] >= 3:... | 73d059966e50b8443c4ab93183556818ac49f619 | 40,169 |
def pcr(adata, covariate, embed=None, n_comps=50, recompute_pca=True, verbose=False):
"""
PCR for Adata object
Checks whether to
+ compute PCA on embedding or expression data (set `embed` to name of embedding matrix e.g. `embed='X_emb'`)
+ use existing PCA (only if PCA entry exists)
... | 9d44321d244f2ad945d8307c2157f73870a20e12 | 40,170 |
from pydantic import BaseModel # noqa: E0611
async def update_one(model: DeclarativeMeta, obj: BaseModel, pk_param: int, pk_attr: str = 'id'):
""" Update one """
query = update(model).where(pk_param == getattr(model, pk_attr)).values(obj.dict())
await database.execute(query)
return {**obj.dict(), pk_... | efdbce5605803a10737af67807af91f144ace9ea | 40,171 |
def yellow_mask(original):
"""
Create a mask from the yellowish pixels of the frame, combining RGB mask and HSV mask
"""
hsv = yellow_mask_hsv(original)
rgb = yellow_mask_rgb(original)
mask = np.zeros_like(rgb)
mask[(hsv == 1) | (rgb == 1)] = 1
return mask | 1236614531748d8682f3d2676675186bfd914ca3 | 40,173 |
def getClass():
"""
Takes in a JSON of the form {'_id' : String}
Returns all the information for a class including _id stringified
{'result' : None/JSON, 'success' : Boolean}
"""
if request.json is None or '_id' not in request.json:
abort(400)
if not dbworker.validateAccessList([... | 1946ee40a934fcf7e861782b571ce1db435dc341 | 40,174 |
def isstrictlyascending(lam):
"""This determines whether the index string is a strictly ascending sequence
Parameters
----------
lam : an indexable object of things that are comparable. Usually an array of integers
Returns
-------
bool : true if the sequence is strictly ascending, else fal... | fce99e5ae20d987102eeea441b95777f0b775eba | 40,175 |
def collections_endpoint(url):
""" Resource endpoint handler
:param url: the url that led here
.. versionchanged:: 0.0.7
Using 'utils.request_method' helper function now.
.. versionchanged:: 0.0.6
Support for HEAD requests
.. versionchanged:: 0.0.2
Support for DELETE resour... | e3230c8e98bf7f6a0b628c9eceec0170ca70e1f3 | 40,176 |
def to_aws_tags(tags):
"""
When you assign tags to an AWS resource, you have to use the form
[{"key": "KEY1", "value": "VALUE1"},
{"key": "KEY2", "value": "VALUE2"},
...]
This function converts a Python-style dict() into these tags.
"""
return [
{"key": key, "valu... | d1e18ea1e4de08fcae59febbe97ab3eb5bc2a2f1 | 40,178 |
def forward_propagation_with_dropout(X, parameters, keep_prob = 0.5):
"""
Implements the forward propagation: LINEAR -> RELU + DROPOUT -> LINEAR -> RELU + DROPOUT -> LINEAR -> SIGMOID.
Arguments:
X -- input dataset, of shape (2, number of examples)
parameters -- python dictionary containing... | 5cd9a9fe9b66b26ac79f4bf1657b24797dadca2d | 40,179 |
def compose_postprocessing(postprocessing):
"""
Compose a postprocessing transform to be performed.
Params
------
postprocessing : dict
- dictionary defining all preprocessing steps to be taken with their
values
e.g. {"Name" : "RescaleIntensity"}
... | 2533202fa34f4101fbae0e1403b1df3fce6b2ef0 | 40,180 |
def run_ksp(graph, cfg, k, thresh=10, algorithm=KSP.find_ksp):
"""
Build the shortest path trees and compute k diverse shortest paths
"""
# construct sp trees
_ = graph.sp_trees(**cfg)
# compute k shortest paths
ksp_processor = KSP(graph)
ksp_out = algorithm(ksp_processor, k, thresh=thre... | 9bcc8f3ac6ea34dbbdd55f9abd067c661c448633 | 40,181 |
def handler(event, context):
"""
api entry function
"""
output = process_api_request(event, put_schedule_tags, logger)
logger.info(output)
return output | 32d902f814df51b7dd86bbddefd22f3d47a56af7 | 40,182 |
def check_for_winner(players) -> bool:
"""Checks all players for a single winner. Returns True if there is a winner.
Keyword arguments:
players -- list of player objects
"""
return sum(map(lambda x: not x.is_bankrupt(), players)) == 1 | 17d39e92a38a9474f080ddebfac1d4813f464a1e | 40,183 |
def random(num_points, span):
"""
This function generates a set of random x and y coordinates using the
numpy uniform random number generator 'numpy.random.uniform()'.
Parameters
----------
num_points : int
The number of points to generate
span : World class
The world defin... | d4425619b29782bc926fac925d896345cdf2f410 | 40,185 |
def get_game_player(game_state):
"""Get the game player whose turn it is to play."""
num_players = len(game_state.game_players)
for game_player in game_state.game_players:
if game_state.turn_number % num_players == game_player.turn_order:
return game_player
return None | a75a0b1b7f1ce4da8c944ad40208fba6f9a50f5a | 40,186 |
def details(location_slug: str):
"""View: Location Details"""
slug = slugify(location_slug)
if location_slug and location_slug != slug:
return redirect_url(url_for("locations.details", location_slug=slug))
database_connection = mysql.connector.connect(**current_app.config["database"])
locat... | df830ac6d746f8d82806537c66dc12172a90eeb3 | 40,187 |
def get_widget_config(id_):
"""Get a widget
:param id: The ID of the widget
:type id: str
:rtype: Report
"""
widget_config = WidgetConfig.query.get(id_)
return widget_config.to_dict() | 3b4b92491a2ddae0674ecb8a9b8578a795849cbb | 40,188 |
import ast
def extract_info_attributes(round_datum):
"""Extract information attributes for current round using NLU annotations.
Args:
round_datum: Current round information
Returns:
get_attribute_matches: Information attributes
"""
user_annotation = ast.literal_eval(round_datum["... | 95e60ea10a7888b3f04619fc882279ebffaf189a | 40,189 |
import re
def get_headers_pairs_list(filename, verbose=False):
"""
Read data for clustering from a given file.
Data format: <email_number> <header>.
Clusters are separated with a blank line.
:param filename: file with input data for clustering.
:param verbose: Whether to be verbose. Default ... | d6b457652e1025475075fb601ba81b6a7fe346fc | 40,190 |
def maintainer_menu(request):
"""
View for maintainer menu page.
This page can only access by superuser and maintainer.
:param request: WSGI request from user.
:return: Render the maintainer menu page and pass the value from context to the template (maintainer.html)
"""
hero_image = 'img/m... | fe87e96c1a8cda2618ceaf0f24fa58ece1bac690 | 40,191 |
def declaration_path(decl, with_defaults=True):
"""
returns a list of parent declarations names
:param decl: declaration for which declaration path should be calculated
:type decl: :class:`declaration_t`
:rtype: [names], where first item contains top parent name and last item
contains... | a17ef5c192b4fd75b51216eecc717dbf1e09740f | 40,193 |
def fit_largest_peak(xs, ys, num):
"""
Algorithm to "fit" the largest peak
:param xs: numpy array of floats, time series data
:param ys: numpy array of floats, power data
:param num: integer, number of peaks to fit
:return:
"""
sort = np.argsort(xs)
xs, ys = xs[sort], ys[sort]
#... | acf7587c081cc427c78dd88dc3b5d33f1dc6f8cf | 40,194 |
import torch
def direction_neuron(layer,
direction,
x=None,
y=None,
batch=None):
"""Visualize a single (x, y) position along the given direction
Similar to the neuron objective, defaults to the center neuron.
InceptionV1... | 7becd4e60fd4810f364c36d7aca165a92060e0bf | 40,195 |
from pathlib import Path
def _run_jlab_string(talktorials_dst_dir):
"""
Print command for starting JupyterLab from workspace folder.
Parameters
----------
talktorials_dst_dir : str or pathlib.Path
Path to directory containing the talktorial folders.
"""
talktorials_dst_dir = Path... | 76c45f77f419b6a302d63d92e51cd0ea1bb92ebb | 40,196 |
def moment2d(grid):
"""
>>> moment2d([[5, 6, 7, 2, 4]])
[[0, 6, 14, 6, 16]]
"""
return list(map(moment, grid)) | d02bf3a21ccf20566c5e2b93ace82579559eef8f | 40,197 |
import requests
def get_onprem_cost_efficiency_handler(request):
""" Queries the OneSphere metrics API and returns the private cloud cost efficiency.
"""
# Get KMS secured environment variables
api_base = request.metadata.get('api_base', None)
token = request.metadata.get('token', None)
# G... | a271165c30ea5855be07906b89357c7700796806 | 40,199 |
from pesummary.core.plots.bounded_1d_kde import bounded_1d_kde
def _setup_triangle_plot(parameters, kwargs):
"""Modify a dictionary of kwargs for bounded KDEs
Parameters
----------
parameters: list
list of parameters being plotted
kwargs: dict
kwargs to be passed to pesummary.gw.p... | b3be4c1d402a1defafb779274970d7a4983d396d | 40,200 |
def pack(*v):
"""Packs value to fit into a word"""
w = 0
for i, x in enumerate(v):
w += INST_SZ**(len(v) - i - 1) * x
return w | e9dcbab2655033077d14060da33656734a580d3c | 40,203 |
def print_card(card):
"""
Makes a card string from a card object
:param card: The card object
:return: The card string
"""
if card.layout() == 'normal':
return make_card_string(card)
elif card.layout() == 'split':
return make_split_card_string(card)
elif card.layout() == ... | e866afa374bc7d3664387262a5d9bf201087cc7f | 40,205 |
def component_declaration1(): # type: ignore
"""
component_declaration1 =
declaration comment
"""
return syntax.declaration, syntax.comment | 48125c163fd8a6c12159f8d68d7786caf6acf42f | 40,206 |
def BackupConfiguration(sql_messages,
instance=None,
backup_enabled=None,
backup_location=None,
backup_start_time=None,
enable_bin_log=None,
enable_point_in_time_recovery=None,... | 18750b852fda215252c1211d41cf5f1ad1f6e887 | 40,207 |
def artifact_patch_request(user_id, req_op, req_path, req_value=None,
req_from=None):
"""Modifies an attribute of the artifact
Parameters
----------
user_id : str
The id of the user performing the patch operation
req_op : str
The operation to perform on th... | 96d69c1c5a12a53238565ca032c49861d2f73c17 | 40,208 |
def topo_2_property(topology, property):
"""
Returns properties of a topology for a given topology name.
Properties:
'stk_func' - gives the stk topology function for building cages
'stoich' - gives the stoichiometries of both building blocks
assuming that the first building bloc... | 984e87ece3ad0fadf78a380807288995da873398 | 40,209 |
def get_full_names(pdb_dict):
"""Creates a mapping of het names to full English names.
:param pdb_dict: the .pdb dict to read.
:rtype: ``dict``"""
full_names = {}
for line in pdb_dict.get("HETNAM", []):
try:
full_names[line[11:14].strip()] += line[15:].strip()
except: f... | be31bb2c8e59e7b2ef4b51aba45f3cbafcb23a63 | 40,210 |
import urllib
import json
def create_package(base_url, data=None, api_key=None):
"""Post a data dict to one of the actions of the CKAN action API.
See the documentation of the action API, including each of the available
actions and the data dicts they accept, here:
http://docs.ckan.org/en/ckan-1.8/api... | 24e58d050c7c7cc26d03f659e789143da722c77c | 40,211 |
def getDiffError(a, b):
"""
(Deprecated)Calculate the distance square between a and b.
Parameters
----------
a, b : ndarray of float, in the same shape
The two matrices to be compared
Returns
-------
float
The sum of element-wise distance square between a and b.
... | f31a785907c949b4f4230fc7e35a2b396dc40cdc | 40,212 |
from scipy import linalg
import warnings
def _fit_corrs(x_xt, x_y, n_ch_x, reg_type, alpha, n_ch_in):
"""Fit the model using correlation matrices."""
known_types = ('ridge', 'laplacian')
if isinstance(reg_type, string_types):
reg_type = (reg_type,) * 2
if len(reg_type) != 2:
raise Valu... | 9033ab134f89183afb7e850f7d61b6793103b42d | 40,213 |
def symbol(a=None):
"""
Return a variable from the symbolic ring with the given name.
If an expression is given, it is returned unchanged.
"""
if isinstance(a, Expression):
return a
return SR.symbol(a) | 48728d7775fa8013499e8070f557efe4bda63218 | 40,214 |
import glob
def get_files(base_dir, ref_dir):
"""
get_files: get all the asdf files in base_dir.
"""
allfiles = sorted(glob(join(base_dir, "*h5")))
# we should use the head of ref_dir and the base of the globbed files
result = []
for each_file in allfiles:
result.append(join(ref_di... | 5244e313193c9d77829f07e5400287953b89749e | 40,215 |
def load_image(filename):
"""Loads a PNG image file."""
string = tf.read_file(filename)
image = tf.image.decode_image(string, channels=3)
image = tf.cast(image, tf.float32)
image /= 255
return image | 414ead568ecbbe61b90a155c50cdf83ee7783ec9 | 40,216 |
import abc
def _actor_in_relationship(actor, relationship):
"""Test whether the given actor is present in the given attribute"""
if actor == relationship:
return True
if isinstance(relationship, (AppenderMixin, Query, abc.Container)):
return actor in relationship
return False | 7c9ab9c17552e4156dd0341a8244f9ef13e8aaa9 | 40,217 |
import math
def gamma_correct(cs, c):
"""
Transform linear RGB values to nonlinear RGB values. Rec.
709 is ITU-R Recommendation BT. 709 (1990) ``Basic
Parameter Values for the HDTV Standard for the Studio and
for International Programme Exchange'', formerly CCIR Rec.
709. For details see
... | ebdc970f9e2e82e372bb4f83c162c9d9c2df0f44 | 40,218 |
def get_flat_pos_array(img_arr):
"""Converts grayscale image numpy array into flat array
with cube positions for blender.
"""
WIDTH = 160
HEIGHT = 120
THRESH = 127
res_arr = np.zeros(WIDTH*HEIGHT*3)
white_indexes = np.argwhere(img_arr > THRESH)
for row in white_indexes:
y, x... | 7053be7d2cdfee76ca1e347a0982fa08589e99d5 | 40,219 |
import re
def extract_last_reg_status_change(strValue):
"""处理show onu last-reg-status-change命令得到的数据。其中，时间若为0000-00-00 00:00:00，将会转换为None。
Args:
strValue (str): show onu last-reg-status-change命令得到的数据
Returns:
list: 字典列表。
"""
# SLOT PON ONU LAST_OFF_TIME LAST_ON_TIME
# 4 ... | 8661b1b01cc0a8d9c01cad892c2b9560fcbc5406 | 40,220 |
def slurp(filename):
"""Return the contents of a file as a single string."""
fh = open(filename, 'r')
try:
contents = fh.read()
finally:
fh.close()
return contents | f3e4a943dfe64dbc02e887a2f5f18e39597c8094 | 40,221 |
def refsoot_imag(wavelengths, enhancement_param=1):
"""imaginary part ot the refractive index for soot
:param wavelengths: wavelength(s) in meter.
:param enhancement_param: This parameter enhances the mass absoprtion efficiency of BC.
It makes it possible to scale BC absorption. Values of this param... | bbd7a9ad7f14088739c8eeaef926dbc63f5a2385 | 40,222 |
def calculate_all_metrics(obs: DataArray, sim: DataArray) -> dict:
"""Calculate all metrics with default values."""
results = {
"NSE": nse(obs, sim),
"MSE": mse(obs, sim),
"RMSE": rmse(obs, sim),
"KGE": kge(obs, sim),
"Alpha-NSE": alpha_nse(obs, sim),
"Beta-NSE": ... | 6649642ad06152646a82f6c8c68a09599d89cb36 | 40,223 |
from typing import Pattern
def transform(pattern: Pattern) -> "Either":
"""Expand pattern into an (almost) equivalent one, but with single Either.
Example: ((-a | -b) (-c | -d)) => (-a -c | -a -d | -b -c | -b -d)
Quirks: [-a] => (-a), (-a...) => (-a -a)
"""
result = []
groups = [[pattern]]
... | d2ed8b04de376f6994d123cf8942eb8efb78068a | 40,225 |
def create_placeholders(n_x, n_y):
"""
Creates the placeholders for the tensorflow session.
Arguments:
n_x -- scalar, size of an image vector (num_px * num_px = 64 * 64 * 3 = 12288)
n_y -- scalar, number of classes (from 0 to 5, so -> 6)
Returns:
X -- placeholder for the data input, of sha... | e0140f18fd71fec61228f55384588faa0e9bf23e | 40,226 |
import requests
import html
from datetime import datetime
import time
def checkIfUpdateAvailable(updateDateFileAddress):
"""Checks the Jyväskylä open data website for wheter
there is an update for the linkkidata-package
Returns true if there is, false if there is not"""
try:
lastUpdatedDate ... | 6d7ce02adf4a2bb8e6944abfcc15dac791fa178b | 40,227 |
import torch
def nmse(outputs, targets):
"""
Normalized mean square error
:param outputs: Module's output
:param targets: Target signal to be learned
:return: Normalized mean square deviation
"""
# Flatten tensors
outputs = outputs.view(outputs.nelement())
targets = targets.view(ta... | 97d801fa520e4eda214300bf2915d43dc2ec948d | 40,228 |
async def get_schema_template(
db: AsyncSession,
tenant_id: UUID,
wallet_id: UUID,
schema_template_id: UUID,
deleted: bool | None = False,
) -> SchemaTemplateItem:
"""Get Schema Template.
Find and return a Traction Schema Template by ID.
Args:
db: database session
tenant_i... | ae5da1b26eb74ba206c6b343ad7de95d3ea9081a | 40,229 |
from typing import Callable
def get_random_box(shape: AxesLike, box_shape: AxesLike, axes: AxesLike = None, distribution: Callable = uniform):
"""Get a random box of shape ``box_shape`` that fits in the ``shape`` along the given ``axes``."""
start = distribution(shape_after_full_convolution(shape, box_shape, ... | f75e86c96905cd98853dc83f1832481daa0fc7ea | 40,230 |
def _optimize_font_size(font, text, max_font_size, min_font_size,
max_text_len):
"""Calculate the optimal font size to fit text in a given size."""
# Check size when using smallest single line font size
fontobj = ImageFont.truetype(font, min_font_size)
text_size = fontobj.getsiz... | e19784e78e484ab6effe9d57ed6e2be89799bc2f | 40,231 |
from redis import StrictRedis as Redis, RedisError
def redis_exists():
"""
Test that redis-py is installed and redis-server is running locally.
"""
try:
except ImportError:
return False
try:
Redis(db=15).ping()
return True
except RedisError:
return False | 181836efd149c4657a384628a0fe842d771d344a | 40,232 |
def get_table_type(filename):
""" Accepted filenames:
device-<device_id>.csv,
user.csv,
session-<time_iso>.csv,
trials-<time_iso>-Block_<n>.csv
:param filename: name of uploaded file.
:type filename: str
:return: Name of table type.
:rtype: str|None
"""
basename, ext = f... | bc4f39e4c9138168cec44c492b5d1965de711a7e | 40,233 |
def get_paradigm(dataset_name):
""" Return the paradigm of a dataset ('domain_generalization' or 'subpopulation_shift')
Args:
dataset_name (str): Name of the dataset to get the paradigm of. (Must be part of the DATASETS list)
Return:
str: The paradigm of the dataset
"""
... | c2f28b6b8d4ac4fdacbc26d04862406bc15ff240 | 40,235 |
def fix_cropBox_rot(img, bbox, input_size, rot):
"""Crop bbox from image by Affinetransform.
Parameters
----------
img: torch.Tensor
A tensor with shape: `(3, H, W)`.
bbox: list or tuple
[xmin, ymin, xmax, ymax].
input_size: tuple
Resulting image size, as (height, width).... | a181821bf6f58e1356116b06d33c6fca58a24003 | 40,236 |
def find_locations(text):
"""
Find normalized location mentions in text, with natasha library
"""
locations = []
try:
doc = Doc(text)
doc.segment(segmenter)
doc.tag_morph(morph_tagger)
doc.parse_syntax(syntax_parser)
doc.tag_ner(ner_tagger)
for token i... | 121478937e469687d482bce2454fc0fff8946a4e | 40,237 |
def length_of_longest_substring(s: str) -> int:
"""
The most obvious way to do this would be to go through all possible substrings of the string which would result in
an algorithm with an overall O(n^2) complexity.
But we can solve this problem using a more subtle method that does it with one linear tr... | 3844c6fd1c62025b704284e76da25f7c63aa0fc9 | 40,238 |
def loads(s):
"""Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a
NeXTSTEP property list document) to a Python object.
If ``s`` is a ``str`` instance and is encoded with an ASCII based encoding
other than utf-8 (e.g. latin-1) then an appropriate ``encoding`` name
must be specified.... | 6d6a36091b8278865370fa35cae5c3aa5c57cbb2 | 40,239 |
def make_download_filename(genome, args, response_format):
"""
Make filename that will explain to the user what the predictions are for
:param genome: str: which version of the genome we are pulling data from
:param args: SearchArgs: argument used for search
:param response_format: str file extensio... | 4645e3175de0db81e940d0e64740e937bce7afc3 | 40,240 |
def ranges_means(data):
"""
Return ranges, means of cycles counted using Downing's method 1.
"""
turns = data_rearranged_for_rainflow_counting(data)
values = [] # of the current turns being processed
ranges = []
means = []
for turn in turns:
values.append(turn)
while ... | 6d5510709596773570ba5074cb561c66299f86f7 | 40,241 |
def window_to_bounds(window, affine):
"""Convert pixels to coordinates in a window"""
minx = ((window[1][0], window[1][1]) * affine)[0]
maxx = ((window[1][1], window[0][0]) * affine)[0]
miny = ((window[1][1], window[0][1]) * affine)[1]
maxy = ((window[1][1], window[0][0]) * affine)[1]
return min... | 6377d792271a86175349daa277b8eb937dd740f5 | 40,243 |
def matches_version_constraint(constraint, target, version):
""" See http://wiki.opscode.com/display/chef/Version+Constraints
Do not pad the target to 3 (it would change the meaning of ~>)
"""
version = pad_to_3(version) # just in case
if constraint == '~>':
high = pad_to_3(target[:-2] + [(... | 38acd10494032c8fd9a6764b308ab6388363bd40 | 40,244 |
def forge_buy(oc_user,params):
"""购买打造的装备
"""
data = {}
user_forge_obj = UserForge.get_instance(oc_user.uid)
user_property_obj = UserProperty.get(oc_user.uid)
cost_smelting = user_forge_obj.cost_smelting
user_smelting = user_property_obj.property_info.get("smelting",0)
if cost_smelting >... | 35312b9a82754c2854f9cb58266d97ebdd4d0bbe | 40,246 |
from typing import Optional
from typing import List
def tm_path(name: str) -> str:
"""Returns the path of the settings file for name ('9o', 'doc', 'go',
'gohtml')
Note: This is used to locate syntax files, and appears to break when
GoSublime is not located in the ST Package directory.
"""
pkg... | 6d711dd5eac524617e77bddbea5e8fde71ef7168 | 40,247 |
import json
def get_javascript_value(value):
"""
Get javascript value for python value.
>>> get_javascript_value(True)
true
>>> get_javascript_value(10)
10
"""
if isinstance(value, bool):
if value:
return 'true'
else:
return 'false'
else:
... | d8a20ebf1ad17e6e25d676f30cb57278b6b22589 | 40,248 |
import torch
def sort_by_seq_lens(args, batch, sequences_lengths, descending=True):
"""
Sort a batch of padded variable length sequences by their length.
Args:
batch: A batch of padded variable length sequences. The batch should
have the dimensions (batch_size x max_sequence_length x ... | 224af4c3c687f95444aa661eb45d37bb46983a30 | 40,249 |
def Bootstrap(data1, data2, M = 1e4, paired = False, direction = None, verbose = False):
""" Bootstrap difference in means between two groups.
M = float64 # Number of iterations
paired = {True, False}
direction = {"greater", "lesser", None}
if verbose = True, returns distribution and p_value, shows... | 9c5773786600c073b40fd394f0f3a3636e576f23 | 40,252 |
def read_station_coordinates(file, group=None, var_x='Xs', var_y='Ys'):
"""
Read the x and y coordinates from an NetCDF file.
:param file: Input NetCDF file
:param group: The group of the NetCDF file to read. See xarray.open_mfdataset for details.
:param var_x: Variable name for x coordinates
... | 11cf18e18c01958a6365a137682dd4bc283d6e5c | 40,253 |
def is_ctrl_z(e: InputEvent, keyboard: InputDevice) -> bool:
"""
Check whether event invokes ^z or not.
"""
return e.code == ecodes.KEY_Z and ecodes.KEY_LEFTCTRL in keyboard.active_keys() | 97fb9da93b30be1b84aabaa0ee6a389d397d65df | 40,254 |
import importlib
def import_module_from_path(filepath):
"""
Import a module from given path.
https://stackoverflow.com/a/67692/5159551
"""
spec = importlib.util.spec_from_file_location('person', filepath)
person_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(person_... | 4bc6d2dfeaef811ceb234931e114781ecdae0e57 | 40,255 |
import numpy
import random
def time_mask(spec, T=40, n_mask=2, replace_with_zero=True, inplace=False):
"""freq mask for spec agument
:param numpy.ndarray spec: (time, freq)
:param int n_mask: the number of masks
:param bool inplace: overwrite
:param bool replace_with_zero: pad zero on mask if tru... | f69364510c78f2fc3e96fb4f028737c6c415d5df | 40,256 |
def change(csq):
"""
>>> change("missense|TMEM240|ENST00000378733|protein_coding|-|170P>170L|1470752G>A")
('170P', '170L', True)
>>> change('synonymous|AGRN|ENST00000379370|protein_coding|+|268A|976629C>T')
('268A', '268A', False)
"""
parts = csq.split("|")
if len(parts) < 7:
ret... | da43c6bd45e641b885469d07c2e6befff334d8a3 | 40,257 |
from typing import Dict
from typing import List
from typing import Tuple
def update_params(
workload: spec.Workload,
current_param_container: spec.ParameterContainer,
current_params_types: spec.ParameterTypeTree,
model_state: spec.ModelAuxiliaryState,
hyperparameters: spec.Hyperparameters,
bat... | 464aef19fd9e8eeb894f972daad57ced56701bb8 | 40,259 |
def with_coordinates(pw_in_path, positions_type, atom_symbols, atom_positions):
"""Return a string giving a new input file, which is the same as the one at
`pw_in_path` except that the ATOMIC_POSITIONS block is replaced by the one
specified by the other parameters of this function.
`positions_type`, `a... | 11dc207a4f17a6521a1aa6299d455f0548c50566 | 40,261 |
def find_nearest(array, value):
"""
Returns the index of "array" whose data best matches "value".
https://tinyurl.com/yc7twjx8
"""
array = np.asarray(array)
idxs = np.argsort(np.abs(array - value))[0]
return idxs | 7d8b0cba75d6077a6a35b351754546bb345d8090 | 40,263 |
def TDVGGNetV1(output_units, input_shape,
num_conv_blocks=5, num_block_layers=2*[2]+3*[3], num_fc_layers=3,
conv_filters=64, conv_filters_factor=2, max_conv_filters=512,
dilation_rate=1, dilation_rate_factor=0,
hidden_fc_units=4096,
kernel_size=... | a410fe1dce21075f658d340f75f667f9902bf544 | 40,264 |
def countby(seq, key):
"""
Description
----------
Create a dictionary with keys composed of the return value of the funcion/key\n
applied to each item in the sequence. The value for each key is the number of times\n
each key was returned.
Parameters
----------
seq : (list or tuple o... | 45ce59f9fd5c837eefbb04ac31d662a10974598d | 40,265 |
import re
def datefmt_to_regex(datefmt):
"""
Convert a strftime format string to a regex.
:param datefmt: strftime format string
:type datefmt: ``str``
:returns: Equivalent regex
:rtype: ``re.compite``
"""
new_string = datefmt
for pat, reg in PATTERN_MATCHNG:
new_string =... | 9daeeada904bdd1ca4b71a6e389e9f1ae1ac6ead | 40,266 |
def hsv_decomposition(image, channel='H'):
"""Decomposes the image into HSV and only returns the channel specified.
Args:
image: numpy array of shape(image_height, image_width, 3).
channel: str specifying the channel. Can be either "H", "S" or "V".
Returns:
out: numpy array of shap... | c7a853d8c3c4dac4748db262b992235786e91382 | 40,267 |
def resize_images(X, y):
"""
This method resizes the images to height=66, widht=200
No. of Output Images = No. of Input Images
"""
images = []
steering_angles = []
for i in range(len(X)):
resized = cv2.resize(X[i], (200, 66))
images.append(resized)
steering_angles.app... | c5356e2f3e6504f99901c6308a901b3e03047919 | 40,268 |
def spline_area(s_tuple, N=None):
"""Compute area of spline s discretized in N segments."""
# to get a good approx. take 3 x the number of knots
if N is None:
N = 3 * len(s_tuple[0])
c = splev(np.linspace(0, 1, N, endpoint=False), s_tuple)
cprm = splev(np.linspace(0, 1, N, endpoint=False),... | 0379ad15d86e5715ce142fdae5c038f4e01e5e72 | 40,269 |
def kgtk_date_hour(x):
"""Return the hour component of a KGTK date literal as an int.
"""
if isinstance(x, str):
m = KgtkValue.lax_date_and_times_re.match(x)
if m:
return int(m.group('hour')) | 50cd9029ce956f719b5618b2f7523ec876f6f2ce | 40,270 |
def conv3d_blk(x, shape, stride, phase):
"""conv3d block with ReLu"""
W = tf.get_variable("W", shape=shape, initializer=tf.contrib.layers.xavier_initializer())
b = tf.get_variable("b", shape=shape[4], initializer=tf.constant_initializer(0.1))
return conv3d(tf.nn.relu(tf.contrib.layers.batch_norm(x, is_t... | aec3a1f5de5db5f519499cf0ed32ae553f53d6b1 | 40,271 |
def check_bias(bias: TensorParams):
"""This function checks whether the bias values fit in 40 bits"""
if bias and bias.dtype == np.dtype("int64"):
valid = all(len(bin(bias_value)[2:]) <= 40 for bias_value in bias.values)
return valid
return True | 666fa565611fc5496a2adb4d6319bd72c4e9ecb4 | 40,272 |
def l2normalize(v, eps=1e-12):
"""l2 normalize the input vector.
Args:
v: tensor to be normalized
eps: epsilon (Default value = 1e-12)
Returns:
A normalized tensor
"""
return v / (tf.reduce_sum(v ** 2) ** 0.5 + eps) | 9e3ecce736672a74e5239a3855b696dba8d0ec7c | 40,274 |
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