content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def real_time(buoy, dataset="txt"):
"""Get realtime data from the NDBC. There are six different data sources
to pull from:
- data_spec: Raw Spectral Wave Data
- ocean: Oceanographic Data
- spec: Spectral Wave Summary Data
- supl: Supplemental Measurements Data
- swdir: Spectral Wave Data (a... | 81cf144bf4e13f89624fdb0ccdd3523e80d1d5fb | 55,091 |
def GetBPM_FromMIDI(midiFileName):
""" returns list of [bpm, pos] floats """
mid = MidiFile(midiFileName, clip = True)
bpms = [[round(tempo2bpm(msg.tempo), 2), msg.time] for msg in mid.tracks[0] if msg.type == "set_tempo"]
# this one replicates the extra bpm added in the box files
... | 10b115ccdbee6308ff1c542007ce049436dbaf17 | 55,092 |
from typing import Any
def make_execution_engine(
engine: Any = None, conf: Any = None, **kwargs: Any
) -> ExecutionEngine:
"""Create :class:`~fugue.execution.execution_engine.ExecutionEngine`
with specified ``engine``
:param engine: it can be empty string or null (use the default execution
eng... | ddba690eb05b84c51756432f9cc969f5397fe876 | 55,093 |
def get_nice_levels(variable, center_on_zero=False, nlevel=11, min_percentile=0.1, max_percentile=99.9):
"""
Create levels for contour plots
Parameters
----------
variable : xarray.DataArray or np.ndarray
the values for which the levels should be created
nlevel : int
nu... | f1636c41872573ea3172257526053f1bb31d2ca3 | 55,094 |
from typing import Tuple
from typing import Optional
def parse_proxy(
proxy: bytes, default_scheme: bytes = b"http", default_port: int = 1080
) -> Tuple[bytes, bytes, int, Optional[ProxyCredentials]]:
"""
Parse a proxy connection string.
Given a HTTP proxy URL, breaks it down into components and chec... | 3ea90f90b4eb1d16adfc57babe28035d67610213 | 55,095 |
import logging
def _get_logger():
"""
Generate a logger with a stream handler.
"""
logger = logging.getLogger('epc')
hndlr = logging.StreamHandler()
hndlr.setLevel(logging.INFO)
hndlr.setFormatter(logging.Formatter(logging.BASIC_FORMAT))
logger.addHandler(hndlr)
return logger | 8c96d2395e1d907a389346e5e3b94f41c0b62fe3 | 55,096 |
def split_matrix_to_train_and_test(mat, true_labels, train_indexes, test_indexes,
print_stat=False):
"""
"""
train_mat = mat[train_indexes,:]
true_train_labels = true_labels[train_indexes]
test_mat = mat[test_indexes,:]
true_test_labels = true_labels[test_indexes]
if print_stat:
... | 67cceeaba8733a8692c38775527ea93b4aae2d33 | 55,097 |
def move_item(
client: EWSClient, item_id, target_folder_path, target_mailbox=None, is_public=None
):
"""
Moves an item within the same mailbox
:param client: EWS Client
:param item_id: item id
:param target_folder_path: target folder path
:param (Optional) target_mailbox: mailbox contai... | 8b214d331559d6223b7c15bc257f42cffff0fd78 | 55,098 |
def assign_dose_on_position_with_constraint(
source_genome: np.ndarray,
destination_genome: list,
index: int,
interval_in_indices: int,
last_index_with_non_zero_dose: int = None,
):
"""
Przypisuje niezerową dawkę w dozwolonym czasie z uwagi na obostrzenia czasowe.
Do użytku z:
* nor... | 779420afc9489099ee2648fcb360d4d50a6a2f9b | 55,099 |
import numpy
import sympy
def solution_conductivity(I, gamma, conc_vals, charges, cond_molar_zero):
"""
Solution non-ideal conductivity calculation
Ref: http://www.aqion.de/site/77#fn:Appelo
Parameters
----------
I : [float]
Ionic strength in mol/L
gamma : [np.ndarray]
Ac... | 49581e10b0048f372c22ef21e23b76cb7b6c715c | 55,100 |
import inspect
def is_mod_class(mod, cls):
"""Checks if a class in a module was declared in that module.
Args:
mod: the module
cls: the class
"""
return inspect.isclass(cls) and inspect.getmodule(cls) == mod | 7a9b228995d2bf46467ef75823a1aad26d16df0e | 55,101 |
from datetime import datetime
def getDateTime(timestamp):
"""
Converts to datetime from timestamp
:param timestamp: string (or integer) value
:return: datetime value
"""
return datetime.fromtimestamp(int(timestamp)/1e3) | 2197806bf7372305cd048295c8c63a0269625262 | 55,103 |
def is_heavy_usage_item_scription(item_description):
"""
CNN1-HeavyUsage:m4.2xlarge
:param item_description:
:return:
"""
return len(item_description.split(";")) == 2 | dd67d8fc192d663bf9e09c4b6325ad3afe09fd0b | 55,105 |
def _generate_sample_indices(random_state, y, target_imbalance_ratio, verbose=0):
"""Private function used to _parallel_build_trees function."""
random_instance = check_random_state(random_state)
class_idxs = _generate_class_indices(y)
class_len = [len(class_idx) for class_idx in class_idxs]
minori... | 0e58e31433da26d71e41ca9985197767db15c1c1 | 55,106 |
def getcollision() -> Collision:
"""Return the in-progress collision.
Category: Gameplay Functions
"""
return _collision | 621323e7e00282e5b5df3b83c93150389e1996f2 | 55,107 |
def manufacturer(addr):
""" Gets the name of the manufacturer of the device. """
for t in manufacturers:
for pfx in manufacturers[t]:
if addr.startswith(pfx):
return t
return "Unknown" | 5313aa7e6bdf0ec12f64df8f1011de296d7aa6ca | 55,108 |
def adjacent_down(p, target, mid):
"""Performs linear search to find adjacent pair left side
Args:
p: integer indicating the index of player in list of players
looking for matches
target: integer indicating height of player to look for
mid: index of match found, to search in ... | 77176cf6d4ace1f8953980825503b9e6f8ac0f88 | 55,109 |
def quiet_spark_logger(sc: SparkSession) -> Logger:
"""Removes warnings from pyspark logger"""
logger = sc._jvm.org.apache.log4j
logger.LogManager.getLogger("org").setLevel(logger.Level.ERROR)
logger.LogManager.getLogger("akka").setLevel(logger.Level.ERROR)
return logger | 8bdfe342b45d3f0b48694f20239afc8eb0d79a57 | 55,110 |
from .pv_pythreejs import convert_plotter
def show_pythreejs(plotter, return_viewer, **kwargs):
"""Show a pyvista plotting scene using pythreejs."""
renderer = convert_plotter(plotter)
if return_viewer:
return renderer
display.display_html(renderer) | 02b341977cf3a7a937dcf93f3a7671ed71e6a1a2 | 55,111 |
def swapWordCount(wordToFreq):
"""
wordToFreq: the dict linking word to count
return freqToWord: the dict linking count to word
"""
freqToWord = {}
for wdKey in wordToFreq:
if wordToFreq[wdKey] in freqToWord:
freqToWord[wordToFreq[wdKey]].append(wdKey)
else:
... | a1569f20a11303e0aa986a2ae5a1377f0bd1b14a | 55,112 |
from typing import List
def split_paragraphs(s: str) -> List[str]:
"""
.. versionadded:: 0.3.0
Split a string into paragraphs, each one terminated by one or more blank
lines (i.e., lines containining only a line ending). Trailing and embedded
line endings in each paragraph are retained.
Onl... | 98a468c9acd1aeb309d18af943d4423c791e127a | 55,113 |
def resource_not_found(e):
"""Returns a HTTP 404 error to the Client"""
return jsonify(error=str(e)), 404 | a296185ebd27b7649c8a49b614b67eb37a7a6e73 | 55,114 |
def calc_ibs_kinship(snps, snps_data_format='binary', snp_dtype='int8', dtype='single',
chunk_size=None, scaled=True):
"""
Calculates IBS kinship
data_format: two are currently supported, 'binary', and 'diploid_int'
"""
num_snps = len(snps)
# print 'Allocating K matrix'... | 75cab6053eafb9801704273b0cb4b6f508f7e338 | 55,116 |
def _prepare_quote(quote, author, max_len=78):
"""This function processes a quote and returns a string that is ready
to be used in the fancy prompt.
"""
quote = quote.split(' ')
max_len -= 6
lines = []
cur_line = []
def _len(line):
return sum(len(elt) for elt in line) + len(line) -... | 7669af2c1dd5de482740944937229f5e87c527b5 | 55,117 |
def get_status(agent_ip):
"""Get the list of agents in the current node."""
agent = app.agents[agent_ip]
# aggiungere blocked
return jsonify(agents=[app.agents[ip].state for ip in app.ring.get_node(agent.node).agents if ip != agent_ip],
blocked=app.ring.blocked(agent)) | fae3ce9cdb67e91e1d5b30c3e67fe387c07e3656 | 55,118 |
import urllib
def download_file(url, target_pkg_dir=None, filename=None):
"""
Wrapper function for downloading a file. File can be downloaded to path
specified by arguments: target_pkg_dir and filename or return as an output.
:param str url: url to a file
:param (str, optional) target_pkg_dir: th... | 85b7931f83798d760d8e2f9cc34bcd9f27351769 | 55,119 |
def cov(d1, w1, d2=None, w2=None, conj_1=False, conj_2=True):
"""
Computes an empirical covariance matrix from data vectors. If d1 is of size
(M,N), then the output is M x M. In other words, the second axis is the
axis that is averaged over in forming the covariance (e.g. a time axis).
If d2 is pro... | e68e4e44763b95fceb4258b67756ea05bdf66b5f | 55,120 |
import re
def url_check(addr):
"""检测UrlAddr是否为有效格式，例如
http://ip:port
https://abc.com
"""
regex = re.compile(
r'^(?:http)s?://' # http:// or https://
r'(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|[A-Z0-9-]{2,}\.?)|' # domain...
r'localhost|' # localhost... | 4804b98a0b43e1637275eae51e1179a91a239b6f | 55,121 |
import requests
def search_direct(docketnum, court):
""" Takes in the name of a party and the docket number as a parameter,
returns the Docket Alarm search results. You can make calls to the
/getdocket endpoint with these results to get more detailed information
on the docket you are looki... | 629c994190b26dc0106d1c071084573011c702a7 | 55,124 |
def get_raw_txt_file_path(data_dir: str, data_type: str,
text_type: str, split: str = '1.0') -> str:
"""
Call as
get_raw_txt_file_path(data_dir=data_dir, data_type=data_type, text_type="questions")
:param data_dir:
:param data_type:
:param split:
:param te... | 1cf28e183ecb1145d2dd7b401c45f02a5ccb70a0 | 55,125 |
from datetime import datetime
async def new_game_create(request: Request) -> dict:
"""
Make a new chess game and send link to game room.
A user can only make a room if they don't have one existing already,
so it first verifies if the user is in a game or not and then creates
one for them.
##... | 35e9fe704b77a2edd43bd7cc5cefbb03dba0e5ba | 55,126 |
def data_context_connectivity_context_connectivity_serviceuuid_end_pointlocal_id_namevalue_name_delete(uuid, local_id, value_name): # noqa: E501
"""data_context_connectivity_context_connectivity_serviceuuid_end_pointlocal_id_namevalue_name_delete
removes tapi.common.NameAndValue # noqa: E501
:param uuid:... | 6f02fdbad77150a445fc6f3ed4b8235bd72b0fcd | 55,127 |
def normalized_root_mean_squared_error(y_true, y_pred):
"""Compute normalized mean squared error
Cf. missForest
Returns:
NMRSE -- Result
"""
mse = mean_squared_error(y_true, y_pred)
var = np.var(y_true)
if var != 0:
nrmse = np.sqrt(mse / var)
else:
nrmse = np... | 898d5098d4ded563522d63637cd1442b03955e83 | 55,128 |
import network
import gc
def ifconfig():
"""
Return Ifconfig data
"""
try:
data=network.WLAN(network.STA_IF).ifconfig()
ifco_data={'IP':data[0],'Mask':data[1],'Gateway':data[2],'DNS':data[3]}
return ifco_data
except Exception as e:
print(e)
finally:
gc.c... | e49a3b130601b819f3feebc488ae9a67e3a47479 | 55,129 |
def publish_web_map_service(request):
"""[summary]
Parameters
----------
request : [type]
[description]
"""
# publish geoserver wms layer
workspace = 'interpo'
service_url = 'http://ec2-18-232-162-21.compute-1.amazonaws.com:8080/geoserver/rest'
service = WebMap... | 6a8a84e32595148dd33bdc0721fdd7933f67b666 | 55,131 |
from typing import List
from typing import Mapping
def build_runtime_parameter_spec(
pipeline_params: List[dsl.PipelineParam]
) -> Mapping[str, pipeline_spec_pb2.PipelineSpec.RuntimeParameter]:
"""Converts pipeine parameters to runtime parameters mapping.
Args:
pipeline_params: The list of pipeline param... | 5a86cf5ac03cfb530f9f7ca289d7c31f5fcd1fd7 | 55,132 |
def do_list(args):
""" List all simulations that can be run
"""
excludes = read_excludes_file(args.excludes)
for (name, path) in gather_target_sims(args.basedir, args.target, excludes):
print(name)
return 0 | 8379c1204c2a112bc08feb09dd737201400531b4 | 55,133 |
import json
def predict() -> str:
"""
Creates a route to return the prediction given the user inputs.
:return: list of predictions of the price
"""
user_input = request.data
# try process the data and catch errors
try:
inputs = process_input(user_input)
# catch json decoding-... | 833244f25c45517e95acdd473061c2caf94f1d0a | 55,134 |
def xldate_from_time_tuple(time_tuple):
"""
Convert a time tuple ``(hour, minute, second)`` to an Excel "date" value
(fraction of a day).
:param hour: ``0 <= hour < 24``
:param minute: ``0 <= minute < 60``
:param second: ``0 <= second < 60``
:raises xlrd.xldate.XLDateBadTuple: Out-of-range ... | a6acf37a9e740e5c3c781bc4b711cdd170301d74 | 55,135 |
def answer_question():
"""
View to answer question the user was assigned to by a friend.
Adds answer to database and notifies friend
:return: answer_question.html from get
:return: redirect to /to_answer from post
"""
if request.method == "POST":
question_id = request.form.get("id")
... | adda1a69a9e575daa7db8f4a3cce14fcfcbf71a2 | 55,137 |
def get_job_obj(name, namespace=defaults.ROOK_CLUSTER_NAMESPACE):
"""
Get the job instance for the given job name
Args:
name (str): The name of the job
namespace (str): The namespace to look in
Returns:
OCS: A job OCS instance
"""
ocp_obj = OCP(kind=constants.JOB, names... | 39c8082a0ffc30180545583273363d589f3ad54c | 55,138 |
import json
def verify_user_login():
"""
returns true if the username and passwordhash match the database false otherwise
Input {"email": email, "password": password}
Output {"status": true/false, "usid": userid of logged in user, "isstudent": true/false}
status is true if login was sucessful usid... | 0ba0b9ec866f1e05dad384713599cad183390aec | 55,139 |
def tf_super(A):
"""Superoperator from both sides of matrix A."""
superA = tf.matmul(
tf_spre(A), tf_spost(tf.linalg.matrix_transpose(A, conjugate=True))
)
return superA | 66d6e76319561665f6480ba538961f6f17affd1e | 55,140 |
def create_badge(request):
"""Create a badge """
if request.method == "POST":
form = CreateBadgeForm(request.POST,request.FILES)
if form.is_valid():
name = form.cleaned_data['name'].capitalize()
badge_description = form.cleaned_data['badge_description']
badge_image = form.cleaned_data['badge_image']
... | 0e2803ff7c2abe6450e3f7aebc213e96ea03dc22 | 55,141 |
def MakeRenewedExpiredResponse():
"""Returns a response for a subscription which expired after at least one
renewal.
"""
return kVerifyResponseRenewedExpired | d65b3ccdd5d912574e7f8cee5421b01de45020bb | 55,142 |
def bt2_out():
"""Static equilibrium results from braced tower 2d."""
output = {}
output["xyz"] = {0: [0.11891271935545733, 0.04623304043571308, 0.0],
1: [-0.14550216351451895, 1.0106420665842952, 0.0],
2: [0.0, 2.0, 0.0],
3: [1.5829003695589805... | 1f5e1ebaea1abb5bd6072f29dca68598a0366905 | 55,143 |
def mstep(X: np.ndarray, post: np.ndarray, mixture: GaussianMixture,
min_variance: float = .25) -> GaussianMixture:
"""M-step: Updates the gaussian mixture by maximizing the log-likelihood
of the weighted dataset
Args:
X: (n, d) array holding the data, with incomplete entries (set to 0)
... | f2971bed4ce38b3c30ee8a1a1e1d96a8c686733e | 55,144 |
import random
def random_str(num_chars, alphabet=base32.ENCODING, msb_alphabet=MSB_ASCII_ALPHABET, not_in=(-1,)):
"""
Helper function that returns a string with the specified number of random characters, optionally
excluding those of a specific length.
"""
num_chars = num_chars + 1 if num_chars in... | ce5a46cf63644977f172955e2df438bc9c8a7671 | 55,145 |
def _get_mass_dict(factor=1000000000, type=int):
"""
Return a Dictionary containing the masses of each aminoacid
We explicitly convert them by a factor of 1 000 000 000 (default) into integers
The values are taken from: https://proteomicsresource.washington.edu/protocols06/masses.php
"""
return... | fabdf445765acb1bde082ba63df9b22b06669ab9 | 55,146 |
async def connection_absent(
hub, ctx, name, resource_group, connection_auth=None, **kwargs
):
"""
.. versionadded:: 1.0.0
Ensure a virtual network gateway connection does not exist in the specified resource group.
:param name:
Name of the virtual network gateway connection.
:param re... | b7572c7c36c3b3f040e341a8a9cbf43ac97518b2 | 55,149 |
def inner_product(u0,u1,ds):
"""inner product which makes use of orthogonality relation of Zernikes as defined in this file"""
return np.sum(u0*u1) * ds * ds / np.pi | b476682f163632c2a1646e7abc17aacecbc127f2 | 55,150 |
def RemoveUnusedFunctions(entry_functions=None):
"""Remove unused global relay functions in a relay module.
Parameters
----------
entry_functions: list[string]
The set of entry functions to start from.
Returns
-------
ret : tvm.relay.Pass
The registered pass to remove unuse... | fca8a243552e98728cbae3543937dd966d63076c | 55,151 |
def get_summary_df(maxageh=1, force_today=False):
"""Get summary dataframe with cache handling and csv update.
Dataframe layout:
Multiindex: Date_file, Date_statistics
Columns:
- DON: total 'date of notification' for this date
- DOO: total 'date of disease onset' for this date
- DPL: tot... | 62062ce496ff3db2fa8aaf5afa5a2578902ae5fd | 55,153 |
import re
def pattern2re(pattern):
"""Makes a unicode regular expression from a pattern.
Returns ``(start, full_re, int_re)`` where:
* `start` is either empty or the subdirectory in which to start searching,
* `full_re` is a regular expression object that matches the requested
files, i.e. a... | 4ae9afed68a2625528f88ebbdbc8f66ab1340230 | 55,154 |
def my_distance(x, y, metric='eu', squared=False, w=None):
"""only calculate pairwise distance between matrix x and y.
"""
dim = x.shape[1]
if w is not None:
if w.ndim == 1:
# different weights for different feature
x = x * w
y = y * w
elif w.ndim... | b07dd3a8630f5a9017ee299544ba278d235a0014 | 55,155 |
import hmac
def is_authenticated(request, secret):
"""
Verify whether the user is authenticated
Args:
request (tornado.httputil.HTTPRequest): The request
secret (str): The secret to use for authentication
"""
# See https://api.slack.com/authentication/verifying-requests-from-slack... | 4d8915018f5d4e97934a581a79bb935533714817 | 55,156 |
from datetime import datetime
def is_valid_saml_assertion(saml_xml):
"""
Validates that a SAML assertion has not expired by checking the 'NotBefore' and 'NotOnOrAfter' attributes.
Arguments:
saml_xml (str): SAML assertion XML as a string.
Returns:
bool: True if assertion is not yet exp... | 2383430acf547ebad69e9d130a65a8de3b8f9967 | 55,157 |
from typing import Union
from typing import Tuple
def subplots_create(nrows:int=1, ncols:int=1, sharex:Union[bool,str]=False, sharey:Union[bool,str]=False,
style:str="matplotlib", **kwargs) -> Union[Tuple[mplFigure,Axes],plotlyFigure]:
"""Create subplots for each plot style.
Args:
... | e10fbf0abf641bed17925dd4545a2b498163f16b | 55,158 |
from typing import Optional
from typing import Dict
def postprocess_trajectory(
policy: Policy,
sample_batch: SampleBatch,
other_agent_batches: Optional[Dict[AgentID, SampleBatch]] = None,
episode: Optional[MultiAgentEpisode] = None) -> SampleBatch:
"""Postprocesses a trajectory an... | dc97de9b1ceda52d41b08b7bb88db85d3cbc0c27 | 55,159 |
def insert(event: SportEvent) -> bool:
"""
Inserts a single SportInfo object in Unibrowser's persistent storage.
:param info: the SportInfo to insert
:returns: true if the insert succeeds, false otherwise
"""
mongodb = UnibrowserDAO(host=__host, port=__port)
result = mongodb.insert(collectio... | a94ac66a45dd5e1725175a0d2ff1051e591dfc9c | 55,160 |
import pytz
def timezone_list():
"""Returns a list of timezone choices, expressed as text."""
return sorted([tz for tz in pytz.all_timezones]) | 1f3aea741e5be43599b4ac9cc8369c24587e602b | 55,161 |
from typing import Iterable
from typing import Set
from typing import Tuple
def all_symmetry_sets(perms: Iterable[Perm]) -> Set[Tuple[Perm, ...]]:
"""Given a collection of perms, return all possible collections formed by applying
symmetric operations on all perms. Each group has their permutation sorted.
... | 556695bcf4bd09a69eb33d6bb31cabcb2df08000 | 55,163 |
def unlike(request, pk):
"""Remove a user from those who liked the post.
Only authenticated users are able to unlike a post.
"""
if request.method == 'POST':
# query the post in question
try:
post = Post.objects.get(pk=pk)
except Post.DoesNotExist:
retur... | 5ec954a8e5506df7dbd1558c2985480837357539 | 55,164 |
def xoai_abstract(source, *args, **kwargs):
"""
CZ:
EN:
"""
value = []
for lang_vers in source:
lang = lang_vers["@name"]
field = lang_vers["element"]["field"]
if isinstance(field, list):
for abstract in field:
value.append(
... | e4aa320e9c9364ad1f990130c83466fcd9e66f36 | 55,165 |
def get_missing_housenumbers_txt(ctx: context.Context, relation: areas.Relation) -> str:
"""Gets the cached plain text of the missing housenumbers for a relation."""
output = ""
if is_missing_housenumbers_txt_cached(ctx, relation):
with relation.get_files().get_housenumbers_txtcache_read_stream(ctx)... | 033e46204c9e0541a53ac323e612d51b6d5ca38c | 55,167 |
def chi2_fun(theta, parameters_to_fit, event):
"""
Calculate chi2 for given values of parameters
Keywords :
theta: *np.ndarray*
Vector of parameter values, e.g.,
`np.array([5380., 0.5, 20.])`.
parameters_to_fit: *list* of *str*
List of names of parameter... | 14f74f3cf64770dc1cb7e335880f445eb75ca007 | 55,168 |
def compute_warped_image_multiNC(I0, phi, spacing, spline_order, zero_boundary=False, use_01_input=True):
"""Warps image.
:param I0: image to warp, image size BxCxXxYxZ
:param phi: map for the warping, size BxdimxXxYxZ
:param spacing: image spacing [dx,dy,dz]
:return: returns the warped image of si... | 490d9944c7fa9d2f61822253611acf0ca4c08010 | 55,170 |
def link(content, target):
"""Corresponds to ``[content](target)`` in the markup.
:param content: HTML that will go inside the tags.
:param target: a full URL, or a local ``filename.html#subtitle`` URL
"""
return '<a href="%s">%s</a>' % (target, content) | c0355f78db31edccf7e904b3696a169980fa796b | 55,171 |
def normalizeComponentScale(value):
"""
Normalizes component scale.
* **value** must be a `tuple`` or ``list``.
* **value** must have exactly two items.
These items must be instances of :ref:`type-int-float`.
* Returned value is a ``tuple`` of two ``float``\s.
"""
if not isinstance(va... | 061f127b03942df58cfe3bf42eaa7319a93172fc | 55,172 |
def normalize_array(data_list, min_close_value, max_close_value):
"""Normalise list of values between 0 and 1
Args:
data_list (list of float): [description]
min_close_value (float): [description]
max_close_value (float): [description]
Returns:
list of float: [description]
... | 459a9d971966cc6810a9e7a1adf5f7c741a97320 | 55,174 |
def batch(proxy):
"""convenience method to get a batch proxy adapter"""
return proxy._pyroBatch() | 36faa7977976c65cf0a549065fe41e5c7589213b | 55,175 |
def elon_periods(dpos_len, dneg_len, pos_crit=1, neg_crit=1, zer_pos_c=2,
zer_neg_c=2, n_min=1, m_min=1):
"""
Determination of periods of elongation for positive and negative ribbons
from time series.
Parameters
----------
dpos_len : list
Time derivative of positive rib... | c5d74b0435944a4e229e565024183ec98015fa13 | 55,176 |
def convex_hull_collide(nodes1, nodes2):
"""Determine if the convex hulls of two curves collide.
.. note::
This is a helper for :func:`from_linearized`.
Args:
nodes1 (numpy.ndarray): Control points of a first curve.
nodes2 (numpy.ndarray): Control points of a second curve.
Ret... | 98e812d6a0c2de9118e3462b6f96869f7991a963 | 55,177 |
def solve(R, C, grid, N, given_words):
"""
Args:
R: int, number of rows in grid.
C: int, number of cols in grid.
grid: 2d list of characters,
N: int, number of words
words: list of str, words to place in the puzzle.
Returns:
list of str, with words place, ot... | 220f2476b5127c8cf4ec9f377ed0b8b07fc6021a | 55,178 |
from typing import Dict
from typing import List
import logging
from typing import OrderedDict
import tqdm
def mean_average_ndcg(
gold: Dict[str, Dict[str, float]],
predicted: Dict[str, List[str]],
rating_threshold: int,
use_tqdm: bool
) -> float:
"""Calculate the Mean Average NDCG
Args:
... | c98f03ec5e5d29fef6aaf0817f4c248a584bad84 | 55,179 |
from typing import List
from typing import Dict
def agg_evaluations(
evaluations: List[Dict[str, Dict[str, float]]]
) -> Dict[str, Dict[str, List[float]]]:
""" aggregates error metrics from models fit on different CV folds
Arguments:
evaluations {List[Dict[str, Dict[str, float]]]} -- list of ... | c567519de71ea6487cca5a582752670dac774e3d | 55,180 |
def bbox_transform_rotated(
boxes,
deltas,
weights=(1.0, 1.0, 1.0, 1.0),
angle_bound_on=True,
angle_bound_lo=-90,
angle_bound_hi=90,
):
"""
Similar to bbox_transform but for rotated boxes with angle info.
"""
if boxes.shape[0] == 0:
return np.zeros((0, deltas.shape[1]), d... | 5822dfe89d9d3118f7ca4604959a7c74137c98b8 | 55,181 |
from pathlib import Path
import re
import shutil
def landsat_harmonize(satsen, productdir, target_dir=None):
"""
Prepare Landsat-7 NBAR.
Parameters:
productdir (str): path to directory containing angle bands.
target_dir (str): path to output result images.
Returns:... | fe780c313850a359d93164f026749af7988f5ac8 | 55,182 |
def is_float(s):
""" Checks whether string s is a number"""
try:
float(s)
return True
except ValueError:
return False | 25ed4e0dd3870897f2a379db282b8879c8fefb75 | 55,183 |
import PIL
from typing import Dict
from typing import Optional
from typing import List
def fill_annotation_list(
draw: PIL.ImageDraw.Draw,
parser: SimpleAnnotationParser,
label_color_dict: Dict[str, RGB],
label_name_list: Optional[List[str]] = None,
) -> PIL.ImageDraw.Draw:
"""
1個の入力データに属するアノテ... | 3142d2ee1751bedb37c5dc209f250f934eb24d4d | 55,184 |
import typing
def calculate_default_layout_uvs(
texture_size: typing.Tuple[int, int],
box_size: typing.Tuple[int, int, int],
offset: typing.Tuple[int, int],
):
"""
Util method for calculating uv's
Cache result whenever possible!
WARNING: currently may not work correctly
:param texture... | 9a9c49711c8dd9ec19e8fd3830e951778aa28737 | 55,185 |
def _safe_get(value: dict, *keys: str) -> str:
"""Look up a nested key in the given dict, or return "UNKNOWN" on KeyError."""
for key in keys:
try:
value = value[key]
except KeyError:
return "UNKNOWN"
return str(value) | afcc3e20a68af87f74cedd2f5ebcb1a5f049563d | 55,186 |
import string
import random
def randomString(stringLength=10):
"""Generate a random string of fixed length """
letters = string.ascii_lowercase+"0123456789"+"""£$%^&*"""
return ''.join(random.choice(letters) for i in range(stringLength)) | 81f0a6004da3bdb5fd5bbdd3450449f72dd9704e | 55,187 |
from typing import List
def find_patterns_idx(pattern, target_tokens: List, parse_character=False) -> List:
"""
리스트에서 단어 패턴을 찾아서 반환하는 함수
:param pattern: 찾고자 하는 패턴
:param target_tokens: 찾아야 하는 토큰 리스트
:param parse_character: 캐릭터 단위로 분해
:return: 저장되어 있는 리스트 반환
"""
if parse_character:
... | 33084599386dde6d36c31e99247fdb5de6179e72 | 55,188 |
def compute_scg_coverage_across_chunks(species_id):
""" Extract gene depth for mapped centroids_99 that are markers and Compute the median marker coverage """
global dict_of_species
sp = dict_of_species[species_id]
number_of_chunks = sp.num_of_genes_chunks
_, list_of_markers = fetch_genes_are_mark... | 626e231653829c48aa199fd1e516ba62976f226e | 55,189 |
def read_ntrajs(input_string):
"""
"""
pattern = ('NTrajs' +
one_or_more(SPACE) +
capturing(INTEGER))
block = _get_directory_info_section(input_string)
keyword = first_capture(pattern, block)
assert keyword is not None
return keyword | 8d5243c6a4f786fc5628e906e7b490d984e33711 | 55,190 |
import struct
def far_read_directory_entry(byte_stream):
""" Unpacks a directory entry which holds its name and file offset. """
far_dir_entry_bytes = byte_stream.read(FAR_DIR_ENTRY_LEN)
if len(far_dir_entry_bytes) != FAR_DIR_ENTRY_LEN:
raise FarFormatError("Unexpected EOF parsing FAR directory entr... | df47461e13713f3bc9b624a05f1c380684b02bb5 | 55,191 |
def get_group(group_name):
"""Get group by name."""
for group in groups:
if group.name == group_name:
return group
return None | bb0d475f11c82806ad321c0393398ac552c6a9a4 | 55,192 |
def bic_real(self):
"""Chisqr + np.log(ndata) * nvarys."""
try:
_neg2_log_likel = self.chisqr
# fallback incase nvarys or ndata not defined.
nvarys = getattr(self, "nvarys", len(self.init_vals))
ndata = getattr(self, "ndata", len(self.residual))
return _neg2_log_likel + n... | a06f3ecfcd62c95e29141a58262d81320f521b84 | 55,193 |
import six
from typing import Container
def create_popup_window(title, body):
"""
Return the layout for a pop-up window. It consists of a title bar showing
the `title` text, and a body layout. The window is surrounded by borders.
"""
assert isinstance(title, six.text_type)
assert isinstance(bo... | 83016d449c6d53f5e383d6d24de557e22e1f370d | 55,194 |
def get_version_details(path):
"""Parses version file
:param path: path to version file
:return: version details
"""
with open(path, "r") as reader:
lines = reader.readlines()
data = {
line.split(" = ")[0].replace("__", ""):
line.split(" = ")[1].strip().... | 6ea7019e4e39b5c315e085369c6ab2bd6729d6bb | 55,195 |
def delete_resource(collection, key):
"""Return the appropriate *Response* for deleting an existing resource in
*collection*.
:param string collection: a :class:`sandman.model.Model` endpoint
:param string key: the primary key for the :class:`sandman.model.Model`
:rtype: :class:`flask.Response`
... | d2bfd77f353025e468f4d46a3d144d4ab713e2cc | 55,196 |
def _pandas_df_to_dendropy_tree(
df,
taxon_col='uid',
taxon_annotations=[],
node_col='uid',
node_annotations=[],
branch_lengths=True,
):
"""Turn a phylopandas dataframe into a dendropy tree.
Parameters
----------
df : DataFrame
DataFrame containing tree data.
ta... | c87c80bc4772f225d5fb3f9942f6194fee6e5ed9 | 55,197 |
def fourier_spectrum(signal, fps, return_spectrum=False,
produce_plot=False, out_plot_name='tmp.pdf', out_plot_title=''):
"""finds fourier spectrum of signal time series as numpy array,
has functionality to return and/or plot the sectrum (both default off),
built from code originally fo... | 5258b98cf48f5864580c52361912f513f77cd55a | 55,198 |
def dithering(data, noiselevel=1e-3):
"""
% y = dithering(x, noiselevel)
% Add low-level noise to x to avoid digital zeros
% noiselevel is scaling factor below SD of signal at which
% noise is added (default 1e-3).
"""
# Ensure consistent random sequence (in dither()
np.random.s... | 91dfc40e4d9804c984e61d32af4e30737eb58e7b | 55,199 |
def watershed_aggregation(grid, field, outlet_id, method, **kwds):
"""Aggregate a field value over a watershed.
``watershed_aggregation`` calculates aggregate values on the nodes in a
watershed that drain to *outlet_id*. It supports all methods in the
`numpy`_ namespace that reduce an array to a scalar... | 1d98123f8a8979ef5a0caf3c7294ed745cf34de4 | 55,200 |
import hashlib
import zlib
def object_write(obj, actually_write=True):
"""Creates the vcs object of input data and writes it to a file in compressed form if actually_write is True"""
# Serialize object data
if obj.fmt == b'commit':
data = obj.serialize(obj.commitData) # get the content in byte str... | 7eddbbc06c465277d5df9685ea83cb7a2f58aaea | 55,201 |
def _mask_with_shp(cube, shapefilename):
"""Apply a Natural Earth land/sea mask"""
# Create the region
region = _get_geometry_from_shp(shapefilename)
# Create a mask for the data
mask = np.zeros(cube.shape, dtype=bool)
# Create a set of x,y points from the cube
# 1D regular grids
if cu... | 59b015959c184b578f6517faea3b75311bdb3c72 | 55,203 |
def delete_term(*, db_session: Session = Depends(get_db), term_id: int):
"""
Update a term.
"""
term = get(db_session=db_session, term_id=term_id)
if not term:
raise HTTPException(status_code=404, detail="The term with this id does not exist.")
return delete(db_session=db_session, term_i... | 43d23e9e0382ebb27802664f1f959d865291064a | 55,204 |
import torch
from typing import Optional
from typing import Union
def send_backward_recv_forward(
input_tensor_grad: torch.Tensor,
tensor_shape: Shape,
*,
dtype: Optional[torch.dtype] = None,
timers: _Timers = None,
) -> Union[None, torch.Tensor]:
"""Batched send and recv w... | f3d96ce8fe75a9a3b4ed6b27914c143924147364 | 55,205 |
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