id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
4882115 | import pytest
from osmaxx.profile.models import Profile
@pytest.fixture
def unverified_email():
return '<EMAIL>'
@pytest.fixture
def valid_profile(db, user, unverified_email):
profile = Profile.objects.create(
associated_user=user, unverified_email=unverified_email
)
return profile
|
4882131 | from .catboost_evaluation import *
from .evaluation_result import *
from .execution_case import *
from .utils import *
__all__ = [
'EvalType',
'CatboostEvaluation',
'ScoreType',
'ScoreConfig',
'CaseEvaluationResult',
'MetricEvaluationResult',
'EvaluationResults',
'calc_wilcoxon_test',
... |
4882288 | import numpy as np
import pandas as pd
import cv2
from tqdm import tqdm
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from os.path import join
from sklearn.model_selection import train_test_split
import... |
4882307 | from pysat.formula import IDPool
from pysat.card import CardEnc, EncType
from pysat.solvers import MinisatGH
def test_equals1():
encs = list(filter(lambda name: not name.startswith('__') and name != 'native', dir(EncType)))
for l in range(10, 20):
for e in encs:
for b in (1, l - 1):
... |
4882368 | import os
import sys
import csv
import json
import argparse
import numpy as np
from typing import Any, Dict, List, Optional, Tuple
sys.path.append('API/')
from get_query_3d_ground_truth import VisualQuery3DGroundTruth
def parse_VQ2D_queries(filename: str) -> Dict:
output = {}
data = json.load(open(filename,... |
4882388 | import logging
import pathlib
import typing as t
from collections import defaultdict
from starlette.types import ASGIApp, Receive, Scope, Send
from connexion.apis.abstract import AbstractSpecAPI
from connexion.exceptions import MissingMiddleware
from connexion.http_facts import METHODS
from connexion.lifecycle import... |
4882435 | import maya.mel as mm
import maya.cmds as mc
import glTools.ui.utils
import os.path
def import2dTrackUI():
'''
'''
# Build UI Window
window = 'import2dTrackUI'
if mc.window(window,q=True,ex=True): mc.deleteUI(window)
window = mc.window(window,title='Import 2D Track',wh=[500,350])
# Build UI Elements
mc.col... |
4882437 | from pyparsing import *
import string
import re
#
# This module contains a parser for a simple query language that can encode
# in value of a URL query parameter without the need to encode any characters.
#
# There are six comparison operators:
#
# ~eq~ - string or numeric equals in the case of string equals * can... |
4882444 | import torch
import typing
__all__ = ["Perspective"]
def _intrinsics_projection_matrix(
fx: float,
fy: float,
px: float,
py: float,
) -> torch.Tensor:
return torch.Tensor([
[fx, 0.0, px],
[0.0, fy, py],
[0.0, 0.0, 1.0],
]).float()
class... |
4882457 | class BypassSpamManagement(object):
"""Setting for Bypass Spam Management
Allows you to bypass the spam report list to ensure that the email is delivered to recipients.
Bounce and unsubscribe lists will still be checked; addresses on these other lists will not
receive the message. This filter cannot be... |
4882483 | from scene import *
from random import randint, random, choice
from sound import play_effect
from colorsys import hsv_to_rgb
from math import sin
from functools import partial
from copy import copy
class Star (object):
def __init__(self):
self.x = randint(0, 768)
self.y = randint(0, 1024)
self.v = random() * 5 ... |
4882509 | import fnmatch, random
import os, io, re
import threading, librosa, time
import soundfile as sf
import numpy as np
import tensorflow as tf
from multiprocessing.dummy import Pool as ThreadPool
from emotion_inferring.dataset.iemocap_reader import *
FILE_PATTERN = r'p([0-9]+)_([0-9]+)\.wav'
def audio_to_float(audio, ... |
4882532 | import numpy as np
from copulae.core import pseudo_obs, rank_data
from ._exchangeability import exch_replication, exch_test_cn, exch_test_stat
from .common import TestStatistic
__all__ = ['exch_test']
def exch_test(x, y, N=1000, m=0, ties='average'):
r"""
Test of Exchangeability for a Bivariate Copula.
... |
4882541 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sb
import pandas as pd
from sklearn import datasets
def plot_prediction(X, Y, predict_func, params):
X = np.array(X)
Y = np.array(Y)
plt.figure(figsize=(10, 6))
plt.scatter(X[Y == 0][:, 0], X[Y == 0][:, 1], color='b', label='0')
p... |
4882586 | import argparse
def valid_noise(string_value):
if (string_value=='inf'):
return string_value
else:
return float(string_value)
def preprocess_parser():
parser = argparse.ArgumentParser()
parser.add_argument('--orig', '--originals', help='Path to original images .npy',
... |
4882618 | from .utility import format_title_descs
FEATURES = (
("fstring-self-doc", [
"[Unstable] Detect self-documenting fstrings. Can in",
"some cases wrongly report fstrings as self-documenting."
]),
)
class Features:
@staticmethod
def str(indent=0):
return format_title_descs(FEATURES, Features.features(... |
4882631 | import os
import numpy as np
import torch
import matplotlib.pyplot as plt
from util import util,options
from data import augmenter,transforms,dataloader,statistics
from models import creatnet
'''
@hypox64
2020/04/03
'''
opt = options.Options().getparse()
net,exp = creatnet.creatnet(opt)
#load data
signals = np.load(... |
4882637 | import numpy as np
import copy
import cv2
import h5py
import math
from tqdm import tqdm
import torch
from torch.nn.functional import pixel_shuffle, softmax
from torch.utils.data import DataLoader
from kornia.geometry import warp_perspective
from dataset.dataset_util import get_dataset
from model.model_util import get_... |
4882745 | import sys
sys.path.append('../')
from Preprocessor import Preprocessor
import SimpleITK as sitk
import tifffile as tf
from testlib.testcase import BaseTestCase
class PreprocessorTestCase(BaseTestCase):
@classmethod
def setUpClass(self):
self.img = tf.imread('../sample_data/atlas_to_control_9.tif'... |
4882797 | import sys
import unittest
from argparse import Namespace
from .fixtures import set_up_cluster, set_up_subparser
from kafka.tools.assigner.actions.elect import ActionElect
class ActionElectTests(unittest.TestCase):
def setUp(self):
self.cluster = set_up_cluster()
(self.parser, self.subparsers) =... |
4882831 | import numpy as np
import torch
from torch.nn import functional as F
class ToTwoOutputs(torch.nn.Module):
def __init__(self, threshold):
super(ToTwoOutputs, self).__init__()
self.threshold = threshold
def forward(self, x):
return torch.cat((-x + self.threshold, x - self.threshold), di... |
4882864 | import os
import time
import datetime
import tensorflow as tf
import numpy as np
import data_utils as utils
from tensorflow.contrib import learn
from text_cnn import TextCNN
from data_utils import IMDBDataset
print ("Intialising test parameters ...")
batch_size = 64
# Checkpoint directory from training run
checkpoi... |
4882866 | from os.path import join, isfile
from keras.callbacks import (Callback, ModelCheckpoint, CSVLogger,
ReduceLROnPlateau, LambdaCallback,
LearningRateScheduler)
from keras.optimizers import Adam, RMSprop, SGD, TFOptimizer
from rastervision.common.optimizers.yello... |
4882913 | from result import *
from internalresult import *
from waveform import *
from functions import *
from plot import *
|
4882918 | import logging
from typing import TYPE_CHECKING, Dict, Iterator, List
from rotkehlchen.accounting.mixins.event import AccountingEventMixin, AccountingEventType
from rotkehlchen.accounting.structures.base import HistoryBaseEntry
from rotkehlchen.chain.ethereum.accounting.structures import TxEventSettings, TxMultitakeTr... |
4882961 | from easydict import EasyDict as edict
from tensorflow.python.keras import Input
from tensorflow.python.keras import Model
from tensorflow.python.keras import layers
from gans.models import model
class LatentToImageGenerator(model.Model):
def __init__(
self,
model_parameters: edict,
... |
4882965 | from django.contrib import admin
from django.urls import path, include
from avengers import views
urlpatterns = [
path('', views.index, name='Home'),
path('result', views.result, name='Result'),
]
|
4882976 | from ..core.redis import redis
def get_bulletin_text():
return (redis.get('torabot:bulletin:text') or b'').decode('utf-8')
def set_bulletin_text(value):
redis.set('torabot:bulletin:text', (value or '').encode('utf-8'))
def get_bulletin_type():
return (redis.get('torabot:bulletin:type') or b'').decode(... |
4883016 | from django.db import models
from django.conf import settings
from django.utils import timezone
from django.urls import reverse
from users.models import UserProfile
class Category(models.Model):
title = models.CharField(max_length=200, db_index=True)
slug = models.SlugField(max_length=200, unique=True)
... |
4883023 | pkgname = "gawk"
pkgver = "5.1.1"
pkgrel = 0
build_style = "gnu_configure"
configure_args = ["--with-readline"]
makedepends = ["libedit-devel"]
pkgdesc = "GNU awk utility"
maintainer = "q66 <<EMAIL>>"
license = "GPL-3.0-or-later"
url = "http://www.gnu.org/software/gawk"
source = f"$(GNU_SITE)/gawk/gawk-{pkgver}.tar.xz"... |
4883054 | from tensorflow_tts.losses.spectrogram import TFMelSpectrogram
from tensorflow_tts.losses.stft import TFMultiResolutionSTFT
|
4883130 | from __future__ import absolute_import
import unittest
from html5lib.filters.whitespace import Filter
from html5lib.constants import spaceCharacters
spaceCharacters = u"".join(spaceCharacters)
try:
unittest.TestCase.assertEqual
except AttributeError:
unittest.TestCase.assertEqual = unittest.TestCase.assertEqu... |
4883194 | from infrastructure.persistence.repository import Repository
from domain.model.customer.customer import Customer
class CustomerRepository(Repository):
def __init__(self, session):
super(CustomerRepository, self).__init__(session)
def find(self, customer_name):
query = self.session.query(Custo... |
4883226 | def omp_master_3():
import omp
tid_result = 0
nthreads = 0
executing_thread = -1
if 'omp parallel':
if 'omp master':
tid = omp.get_thread_num()
if tid != 0:
if 'omp critical':
tid_result += 1
if 'omp critical':
... |
4883244 | from settings import *
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2', # Add 'postgresql_psycopg2', 'mysql', 'sqlite3' or 'oracle'.
'NAME': 'model_report', # Or path to database file if using sqlite3.
'USER': 'postgres', ... |
4883252 | import demistomock as demisto
MOCK_PARAMS = {
'access-key': 'fake_access_key',
'secret-key': 'fake_access_key',
'url': 'http://123-fake-api.com/',
'unsecure': True,
'proxy': True
}
MOCK_RAW_VULN_BY_ASSET = {
'vulnerabilities': [
{
'count': 117,
'plugin_family': ... |
4883254 | from __future__ import print_function
import numpy as np
import pytest
EPS = 1e-8
def kmeans_cluster(x, k, max_iter=10, threshold=1e-3, verbose=False):
# init
centers = np.zeros([k, x.shape[-1]])
for i in range(k):
total_num = len(x)
chosen_num = max(1, total_num / k)
random_id... |
4883268 | class Solution:
def maxProfit(self, prices):
"""
:type prices: List[int]
:rtype: int
"""
buy_day = 0
max_profit = 0
for i in range(len(prices)):
if prices[i] < prices[buy_day]:
buy_day = i
max_profit = max(max_profit, prices[i] - prices[buy_day])
return max_profit
|
4883277 | from bluebottle.activities.models import Organizer, EffortContribution
from bluebottle.fsm.triggers import (
TriggerManager, TransitionTrigger, ModelDeletedTrigger, register
)
from bluebottle.fsm.effects import TransitionEffect, RelatedTransitionEffect
from bluebottle.activities.states import ActivityStateMachine,... |
4883288 | import os
import copy
import pytest
import numpy as np
import pandas as pd
import pyarrow as pa
from pyarrow import feather as pf
from pyarrow import parquet as pq
from time_series_transform.io.base import io_base
from time_series_transform.io.numpy import (
from_numpy,
to_numpy
)
from time_series_transfor... |
4883299 | from __future__ import print_function
import matplotlib
matplotlib.use('Agg')
import pylab as plt
import numpy as np
import os
import sys
from astrometry.util.fits import fits_table
from astrometry.libkd.spherematch import match_radec
from astrometry.util.plotutils import PlotSequence
from legacyanalysis.ps1cat impor... |
4883302 | from django.conf.urls import url
from . import views
from django.views.decorators.http import require_POST
from django.contrib.auth.decorators import login_required
app_name = 'easy_comment'
urlpatterns = [
url(r'^post/submit-comment/$', login_required(require_POST(views.PostCommentView.as_view())), name='submit_c... |
4883323 | import json
import subprocess
import tempfile
from notebook.utils import url_path_join
from notebook.base.handlers import APIHandler
def setup_handlers(web_app):
host_pattern = '.*$'
web_app.add_handlers(
host_pattern,
[(url_path_join(web_app.settings["base_url"], "/jupyterlab_black/format"),... |
4883338 | from concaveman import concaveman2d
import matplotlib as mpl
mpl.use('Qt5Agg')
import matplotlib.pyplot as plt
import json
import numpy as np
from scipy.spatial import ConvexHull
with open('../../../data/points-1k.json', 'r') as f:
pts = json.load(f)
pts = np.array(pts)
h = ConvexHull(pts)
cc = concaveman2d(... |
4883350 | from chemical_metadata import *
import chemicals
process_CASs = chemicals.elements.CAS_by_number_standard + chemicals.elements.homonuclear_elemental_singlets_CASs
fixed_data = {k: {'CAS': k} for k in process_CASs}
fixed_data['54083-77-1']['pubchem'] = 135476787 # Darmstadtium
fixed_data['54083-77-1']['inchi'] = 'InCh... |
4883351 | import requests
from django.conf import settings
def notify_slack(text, channel):
if settings.DEBUG:
return
requests.post(
'https://slack.com/api/chat.postMessage',
data={
'token': settings.SLACK_API_TOKEN,
'channel': channel,
'text': text,
... |
4883370 | import discord
from discord.ext import commands
import urllib.request
import json
class others(commands.Cog):
def __init__(self, client):
self.client = client
def getQuote(self, tags=["inspirational", "success"]): # default arguments
"""Get random quote from the API
Args:
tags (list, o... |
4883374 | from django.conf import settings
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from django.utils.translation import ugettext_lazy as _
@python_2_unicode_compatible
class Category(models.Model):
name = models.CharField(_("Name"), max_length=255, unique=True)
positio... |
4883408 | import threading
import time
from typing import Any, Callable
# SAFE_ASSUMPTION constant is a wait time between each clock cycle.
SAFE_ASSUMPTION = 0.01
class ClockException(Exception):
pass
class Clock(threading.Thread):
"""Clock thread
Clock is a time-based thread which triggers the callback functio... |
4883420 | from flask import make_response, jsonify
http_code_map = {
200: 'Ok',
400: 'Bad Request',
500: 'Internal Server Error'
}
def response_handler(description, http_code):
"""
:param description: Description of response
:param http_code: HTTP error code
:return: JSON response to REST endpoint ... |
4883421 | ACCOUNT_CONFIGS = {
'123456789100': {
'name': 'example-account',
'emr_subnet': 'example-subnet-id',
'log_bucket': 'hippolyte-eu-west-1-prod-backups',
'backup_bucket': 'hippolyte-eu-west-1-prod-backups',
'exclude_from_backup': [
'example-table-*'
],
... |
4883433 | import unittest
import xnmt.tensor_tools as tt
from xnmt.modelparts.attenders import MlpAttender
from xnmt import batchers, event_trigger, events
from xnmt.modelparts.bridges import CopyBridge
from xnmt.modelparts.decoders import AutoRegressiveDecoder
from xnmt.modelparts.embedders import SimpleWordEmbedder
from xnmt.... |
4883488 | from rest_framework import status
def raise_for_status(response):
"""Parse ledger response and raise exceptions in case of errors."""
if not response or 'error' not in response:
return
if 'cannot change status' in response['error']:
raise LedgerStatusError.from_response_dict(response)
... |
4883522 | import os
import sys
import numpy as np
def foo():
import pandas
def bar():
from requests import get
|
4883526 | import unittest
from tempfile import TemporaryDirectory
import numpy as np
from one.api import ONE
from ibllib.tests import TEST_DB
from ibllib.qc.dlc import DlcQC
from ibllib.tests.fixtures import utils
class TestDlcQC(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
cls.one = ONE(**T... |
4883528 | import os
import ycm_core
flags = [
'-x', 'c++','-fno-exceptions', '-std=c++2a',
'-Wall', '-Wextra', '-Werror', '-Woverloaded-virtual', '-Wnon-virtual-dtor', '-Werror=return-type', '-Werror=switch',
'-Wimplicit-fallthrough', '-Wno-reorder', '-Wuninitialized', '-Wno-unused-function', '-Wno-unused-variable',
'-Wno-unuse... |
4883539 | import logging
import math
import pymongo
from recommends.models import MockModel, MockSimilarity
from recommends.storages.base import BaseRecommendationStorage
from recommends.settings import RECOMMENDS_LOGGER_NAME, RECOMMENDS_STORAGE_LOGGING_THRESHOLD
from .settings import (
RECOMMENDS_STORAGE_MONGODB_DATABASE,
... |
4883547 | import os
import boto3
from botocore.exceptions import ClientError
AWS_DEFAULT_REGION = os.getenv("AWS_DEFAULT_REGION", "us-east-1")
def get_secret(secret_name):
endpoint_url = "https://secretsmanager.%s.amazonaws.com" % AWS_DEFAULT_REGION
region_name = AWS_DEFAULT_REGION
secret = None
session = bo... |
4883574 | import sqlite3
from .db import DB
class PPEUnitTable(DB):
def __init__(self):
self.table_name = 'WB_equipment'
self.table_desc = 'West Bengal protective gear equipment details'
self.cols = self.getcolumns()
def getcolumns(self):
cols = {
'date': 'DATE NOT NULL',
... |
4883614 | import logging
from contextlib import contextmanager
from lark import Lark, logger
from unittest import TestCase, main
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
@contextmanager
def capture_log():
stream = StringIO()
orig_handler = logger.handlers[0]
del logger.... |
4883616 | def compute_delay_airline_df(airline, org_airport=None):
# create a mask for selecting the data
mask = (flights["AIRLINE"] == airline)
if org_airport is not None:
# Add the org_airport to the mask
mask = mask & (flights["ORIGIN_AIRPORT"] == org_airport)
# Apply the mask to the Pandas dataframe
... |
4883628 | from cssdbpy import Connection
import md5
if __name__ == '__main__':
conn = Connection('127.0.0.1', 8888)
for i in xrange(0, 10000):
md5word = md5.new('word{}'.format(i)).hexdigest()
create = conn.execute('zset','ztest', md5word, i)
value = conn.execute('zget','ztest', md5word)
conn.execute('zincr','ztest', ... |
4883643 | from bisect import bisect
from math import inf, log
def fill_tile(side1, side2, sides, hi = inf):
if not side1 or not side2 or not sides:
return
smaller_side = min(side1, side2)
index = bisect(sides, log(smaller_side, 2), hi = min(hi, len(sides)))
if not index:
return
size = 2 ** si... |
4883654 | import sys
from torchvision.io import read_image
from torch.utils.data import Dataset
from omegaconf.dictconfig import DictConfig
from sklearn.model_selection import train_test_split
from datasets.transformfactory import *
class CustomImageDataset(Dataset):
"""Dataset example"""
def __init__(self, cfg: DictCo... |
4883687 | from sklearn.base import BaseEstimator
from sklearn.covariance import EllipticEnvelope
class EllipticEnvelopeFilter(BaseEstimator):
def __init__(self, assume_centered=False,
support_fraction=None, contamination=0.1,
random_state=None):
self.assume_centered = assume_cente... |
4883719 | from sqlalchemy import (
BigInteger,
Boolean,
Column,
LargeBinary,
Numeric,
String,
UnicodeText,
)
from Db import SESSION, Base
import os
class Welcome(Base):
__tablename__ = "welcome"
chat_id = Column(Numeric, primary_key=True)
file_id = Column(String)
msg_type = Column(St... |
4883723 | from django.contrib import admin
from usda.models import Food, FoodGroup, Weight, Nutrient, Footnote, \
DataSource, DataDerivation, Source, NutrientData
class WeightAdmin(admin.ModelAdmin):
raw_id_fields = ('food', )
class FootnoteAdmin(admin.ModelAdmin):
raw_id_fields = ('food', )
... |
4883737 | import sys, os
import MRImageAnalysis as mri
import matplotlib.pyplot as plt
import numpy as np
savePath = '../results/bat/parameter_estimates/'
K_transs = np.linspace(0.04, 0.14, 50)
v_p = 0.02
v_e = 0.2
F_ps = [0.2, 0.4, 0.8]
def f(t, i):
'''
i is how many dts to move right
'''
ret = np.zeros(l... |
4883767 | import numpy as np
import cv2
import os
import random
import pandas as pd
class ImageDataLoader():
def __init__(self, data_path, gt_path, shuffle=False, batch_size = 1, test_loader = False, img_width = 256, img_height = 256, test_overlap = False):
self.data_path = data_path
self.gt_path = gt_path
... |
4883777 | import os
# set expected aws region environment variable
os.environ['AWS_DEFAULT_REGION'] = 'us-east-1'
|
4883778 | import logging
import pandas as pd
from configchecker import ConfigChecker
import whalealert.settings as settings
log = logging.getLogger(__name__)
class Writer():
""" Puslishing Whale Alert API status and database results"""
def __init__(self, status, database):
self.__status = status
self._... |
4883802 | import asyncio
import pytest
from wagtail_live.publishers.redis import RedisBus, make_channel_group_name
from wagtail_live.publishers.utils import get_redis_url
from ..conftest import wait_for_message
count = 0
_message = _recipients = None
async def broadcast(message, recipients):
global count, _message, _re... |
4883853 | import re
from anime_downloader.extractors.base_extractor import BaseExtractor
from anime_downloader.sites import helpers
class Vudeo(BaseExtractor):
def _get_data(self):
soup = str(helpers.get(self.url).text)
# Group 3 is the url
source_regex = r"source(s|):\s*\[(\"|')(.[^\"|']*)"
... |
4883883 | import unittest
import os
import testinfra.utils.ansible_runner
class TestIntermediateSetup(unittest.TestCase):
def setUp(self):
self.host = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_host('instance')
def test_cmd_bridge_file_related_settings(... |
4883916 | import sys
import boto3
import logging
from botocore.exceptions import ClientError, ProfileNotFound
from super_gradients.common import explicit_params_validation
class AWSConnector:
"""
AWSConnector - Connects to AWS using Credentials File or IAM Role
"""
@staticmethod
def __create_boto_3_sessi... |
4883939 | from __future__ import print_function
import numpy as np
class Lazy(object):
"""Base for Lazy object.
"""
def __init__(self):
super(Lazy, self).__init__()
self.name = "Lazy base"
def prepare_model(self, dataset):
'''Must be called before using top_k_recommendations
'''
raise NotImplemented
def l... |
4883961 | from datetime import datetime
from prettytable import PrettyTable
from covid19 import printer, logger, helpers
def global_parser(DETAILS):
try:
x = PrettyTable(padding_width=3)
rangebi = printer.Rangebi()
# parsing country details
last_updated_on = DETAILS['lastupdatedtime']
... |
4883976 | import tensorflow.compat.v1 as tf
@tf.custom_gradient
def argmin_grad(x, y):
abs_diff = tf.abs(tf.subtract(x, y))
argmin = tf.cast(tf.argmin(abs_diff), tf.float32)
def grad(dy):
""" Let gradients pass through. """
return dy, None
return argmin, grad
@tf.custom_gradient
def one_hot_... |
4883982 | import numpy as np
import os.path
import multiprocessing
import sys
import deepgmap.data_preprocessing_tools.seq_to_binary2 as sb2
import psutil
import getopt
import time
def div_roundup(x, y):
if y%x==0:
return y//x
else:
return y//x+1
def DNA_to_array_converter(input_file_read,seq_num,targ... |
4883997 | from abc import abstractmethod
from pathlib import Path
from typing import List, Set, Tuple
from gobbli.dataset.base import BaseDataset
class NestedFileDataset(BaseDataset):
"""
A dataset downloaded as an archive from some URL
and composed of the following directory structure:
<train_folder>/
... |
4883998 | from decimal import *
from fractions import Fraction
from math import floor
def getExponent(flot, exponent):
# We need to know all significant digits that we will likely encounter
# to gurantee maximum precision
# 1.5 + 1.55 = 3.55 the second one had two digits of precision so we need
# 2 digits of pr... |
4884011 | from __future__ import annotations
from typing import Dict, List
from binaryninja import (BinaryView, BranchType, FlowGraph, FlowGraphNode,
FlowGraphReport, ReportCollection, show_graph_report,
BasicBlockEdge, MediumLevelILBasicBlock, Settings)
from . import mlil_ast
... |
4884031 | from .fireball import FireBall, read_fireball_stdout, read_geometry_bas, write_geometry_bas, get_fdata_info, read_eigen
from .fireball import read_final_fireball_relax, read_fireball_in, read_param
from .input import FireballInput
from .output import FireballOutput
|
4884053 | from fabric.api import *
import subprocess
main_dir = subprocess.check_output("git rev-parse --show-toplevel", shell=True).rstrip()
@task
def status():
"""[local] Run git status on this repo and the installed modules"""
local( main_dir + '/bin/git_status.sh' )
@task
def checkout_master(module=''):
"""[local] Ru... |
4884067 | from django.contrib.contenttypes.models import ContentType
from icekit.admin_tools.utils import admin_link
from django import http
from django.conf.urls import patterns, url
from django.contrib import admin
try:
import json
except ImportError:
from django.utils import simplejson as json
class RawIdPreviewAdmi... |
4884073 | import click
from distributed.diagnostics.plugin import WorkerPlugin
import os
import spacy
from scispacy.linking import EntityLinker
from scispacy.abbreviation import AbbreviationDetector
class LinkingPlugin(WorkerPlugin):
def __init__(self):
nlp = spacy.load('en_core_sci_lg')
abbreviation_pipe =... |
4884090 | import numpy as np
import cv2
import time
SHOW_STEREOMATCHING_DISPARITY_IMG = True
STEREOMATCHING_SGBM_MIN_DISPARITY = 0
# normally, it's 0 but sometimes rectification algo can shift images, so this param needs to be adjusted accordingly
STEREOMATCHING_SGBM_N_DISPARITIES = 512#1024
# in ... |
4884116 | import dataclasses
import functools
import hashlib
import io
import itertools
import json
import pathlib
import urllib.parse
from abc import ABC, abstractmethod
from typing import Any, ClassVar, Dict, Iterator, Optional, Type
from urllib.parse import ParseResult
import fastavro
import requests
from esque.io.data_type... |
4884117 | from nutils import *
from nutils.testing import *
@parametrize
class check(TestCase):
def test(self):
points, weights = self.ref.getischeme(self.ptype)
points.ndim == 2
self.assertEqual(points.shape[1], self.ref.ndims)
numpy.testing.assert_almost_equal(points, self.target_points)
... |
4884120 | from rubicon_ml.sklearn.filter_estimator_logger import FilterEstimatorLogger
from rubicon_ml.sklearn.pipeline import RubiconPipeline
__all__ = ["FilterEstimatorLogger", "RubiconPipeline"]
|
4884150 | import logging
from dataclasses import astuple, fields
from pywps import LiteralInput
from ravenpy.models import GR4JCN
from raven import config
from . import wpsio as wio
from .wps_raven import RavenProcess
LOGGER = logging.getLogger("PYWPS")
"""
Notes
-----
The configuration files for RAVEN's GR4J-Cemaneige mod... |
4884157 | import cv2
import numpy as np
import pytest
from anymotion_sdk.extras import read_image, read_video
@pytest.fixture
def make_path(tmp_path):
"""Make temporary image/video path."""
def _make_path(name, frame=1, width=10, height=10, channel=3):
path = tmp_path / name
image = np.zeros((height, ... |
4884190 | import wx
import wx.lib.stattext
import os
import koko
from koko.cam.panel import FabPanel
class ImageInputPanel(FabPanel):
""" @class ImageInputPanel Input FabPanel for Image-based workflow
"""
def __init__(self, parent):
""" @brief Initializes the panel
@param Parent UI panel
... |
4884206 | import torch
################## sh function ##################
C0 = 0.28209479177387814
C1 = 0.4886025119029199
C2 = [
1.0925484305920792,
-1.0925484305920792,
0.31539156525252005,
-1.0925484305920792,
0.5462742152960396
]
C3 = [
-0.5900435899266435,
2.890611442640554,
-0.45704579946446... |
4884214 | from nipype.interfaces.base import BaseInterface, \
BaseInterfaceInputSpec, traits, File, TraitedSpec
from nipype.utils.filemanip import split_filename
import nibabel as nb
import numpy as np
import os
class NANOmitInputSpec(BaseInterfaceInputSpec):
in_file = File(exists=True, desc='File with NAN volumes to b... |
4884220 | import os
import pytest
from reamber.bms import BMSMap
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
MAP_READ = os.path.join(THIS_DIR, 'searoad.bml')
@pytest.fixture(scope='package')
def bms_map() -> BMSMap:
return BMSMap.read_file(MAP_READ)
|
4884251 | from django.urls import path, include
from . import views
app_name: str = "panel"
urlpatterns = [
path("", views.index, name="index"),
path("api/", include("panel.api.urls"), name="panel_api"),
path("add-movie/", views.add_movie, name="add_movie"),
path("movie-detail/<int:movie_id>", views.movie_deta... |
4884257 | from sqlalchemy.schema import FetchedValue
from app.api.utils.models_mixins import Base
from app.extensions import db
class StatusUpdate(Base):
__tablename__ = "status_update"
__table_args__ = {"schema": "now_submissions"}
id = db.Column(db.Integer, primary_key=True, server_default=FetchedValue())
bus... |
4884285 | from __future__ import division, print_function, absolute_import
import numpy as np
from scipy.optimize import fsolve
def association_config(sitesmix, eos):
compindex = []
for i, j in enumerate(sitesmix):
compindex += np.count_nonzero(j) * [i]
compindex = np.asarray(compindex)
types = np.arr... |
4884313 | from ctypes import c_char_p, c_int
from .dll import _bind, SDLFunc, AttributeDict
from .stdinc import SDL_bool
__all__ = []
# Raw ctypes function definitions
_funcdefs = [
SDLFunc("SDL_SetClipboardText", [c_char_p], c_int),
SDLFunc("SDL_GetClipboardText", None, c_char_p),
SDLFunc("SDL_HasClipboardText",... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.