id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
1638285 | def rc4(key, content):
key_len = len(key)
S = [i for i in range(256)]
T = [key[i % key_len] for i in range(256)]
j = 0
for i in range(256):
j = (j + S[i] + T[i]) % 256
S[i], S[j] = S[j], S[i]
i = j = 0
res = []
for c in content:
i = (i+1) % 256
j = (j+S[... |
1638308 | import bayesnewton
import numpy as np
from bayesnewton.utils import solve
from jax.config import config
config.update("jax_enable_x64", True)
import pytest
def wiggly_time_series(x_):
noise_var = 0.15 # true observation noise
return (np.cos(0.04*x_+0.33*np.pi) * np.sin(0.2*x_) +
np.math.sqrt(nois... |
1638314 | import nose
from nose.tools import assert_equal
from nose.tools import with_setup
import torch
import numpy as np
from torch.autograd import Variable
from vis.activations import GuidedBackProRelu
def set_up():
print("Test start")
def tear_down():
print("Test done")
@with_setup(set_up, tear_down)
def test... |
1638337 | import pytest
import requests
import json
from settings import NGINX_API_VERSION
from suite.nginx_api_utils import wait_for_empty_array, wait_for_non_empty_array, get_nginx_generation_value
from suite.resources_utils import scale_deployment
@pytest.mark.vsr
@pytest.mark.skip_for_nginx_oss
@pytest.mark.parametrize('... |
1638374 | import chemutils.mainutils.mainutils as mainutils
from docopt import docopt, DocoptExit
import pprint
import re
import sys
doc = """chemutils
Usage:
chemutils atomspos <xyzFileOrDir>
[--out-dir=<outdir>]
[--out-filename=<outfname>]
[--file-extens... |
1638385 | from sklearn.neighbors import LocalOutlierFactor
from pyod.models.iforest import IForest
from pyod.models.hbos import HBOS
from pyod.models.loda import LODA
from pyod.models.copod import COPOD
from tqdm import tqdm
import numpy as np
import pandas as pd
import os
import ast
import eval.evaluation_utils as utils
from sk... |
1638407 | import pygame
import perlin
from random import randint
from .block import Block
from .tree import Tree
from ...variables import *
p = perlin.Perlin(randint(0, 99999))
class Terrain:
def __init__(self):
self.map = []
self.tile_rects = []
self.placed_blocks = []
self.loaded_chunks ... |
1638415 | from .__about__ import __version__
from .check import CalicoCheck
__all__ = ['__version__', 'CalicoCheck']
|
1638417 | from urllib2 import quote, unquote
import bcrypt
from base import BaseHandler
class LoginHandler(BaseHandler):
def get(self):
error = self.get_argument('error', None)
self.render('login.html', error=error, hide_notebooks=True)
def post(self):
username = self.get_argument('username', ... |
1638435 | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import random
import os
import json
import scipy
import scipy.stats
jian_file = 'result2'
grid_file = 'result2'
datasets = ['HGBn-ACM', 'HGBn-DBLP', 'HGBn-IMDB', 'HNE-PubMed', 'HGBn-Freebase', 'HGBn-ACM']
xL = [[[0, 1... |
1638437 | from typing import Optional
from botocore.client import BaseClient
from typing import Dict
from botocore.paginate import Paginator
from botocore.waiter import Waiter
from typing import Union
from typing import List
class Client(BaseClient):
def can_paginate(self, operation_name: str = None):
"""
C... |
1638447 | from pathlib import Path
import yaml
DEF_DT_WIDTH = 25
class AnasymodProjectConfig:
def __init__(self, fpga_sim_ctrl='UART_ZYNQ', custom_zynq_firmware=True):
# validate input
assert fpga_sim_ctrl in {'UART_ZYNQ', 'VIVADO_VIO'}, 'Invalid setting.'
# initialize the config dictionary
... |
1638460 | from rest_framework import serializers
from qapi.utils import generate_fields
from apps.utils.file_uri import file_uri
from .models import DeliveryPrinter, DeliveryAccount, Sender, DeliveryRecords
class DeliveryAccountSerializer(serializers.ModelSerializer):
remark_content = serializers.CharField(
label=... |
1638465 | import codecs
import os
from setuptools import find_packages
from setuptools import setup
HERE = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
"""Return the contents of the read file.
- Build an absolute path from *parts*
- Return the contents of the resulting file.
- Assume UTF-8 en... |
1638487 | from rest_framework import serializers
from .models import WorkingHour
class WorkingHourSerializer(serializers.ModelSerializer):
class Meta:
model = WorkingHour
fields = ('id', 'hour')
|
1638541 | import argparse
import os
import shutil
import tfaip.util.logging as logging
from tfaip.data.pipeline.definitions import PipelineMode
from tqdm import tqdm
from calamari_ocr.ocr import CrossFold
from calamari_ocr.ocr.dataset.datareader.file import FileDataParams
from calamari_ocr.utils import split_all_ext, glob_all
... |
1638545 | import os
import textwrap
from django import forms
from django.core.exceptions import ValidationError
from django.utils.translation import ugettext_lazy as _
from orchestra.forms import UserCreationForm, UserChangeForm
from . import settings
from .models import SystemUser
from .validators import validate_home, valid... |
1638549 | from ConnectSignal.Lambda import (
connect_slider_moved_abstract,
connect_slider_released_abstract,
connect_def_str_lineedit_abstract,
connect_name_change_abstract
)
from ConnectSignal.ConnectMacros import (
connect_colour,
connect_fill_pattern,
connect_dash,
connect_o_arrow,
connec... |
1638568 | class BackendError(Exception):
"""Base backend error exception."""
class NoTokenError(BackendError):
"""Token given is unknown."""
class UserExistsError(BackendError):
"""A user with this username already exists."""
|
1638607 | from .lasot import Lasot
from .got10k import Got10k
from .tracking_net import TrackingNet
from .coco import MSCOCO
from .coco_seq import MSCOCOSeq
|
1638612 | import os
import unittest
from shutil import rmtree
from webvtt import WebVTTSegmenter, Caption
from webvtt.errors import InvalidCaptionsError
from webvtt import WebVTT
BASE_DIR = os.path.dirname(__file__)
SUBTITLES_DIR = os.path.join(BASE_DIR, 'subtitles')
OUTPUT_DIR = os.path.join(BASE_DIR, 'output')
class WebVTT... |
1638623 | from copy import deepcopy
from uuid import uuid4
from time import strftime, gmtime
from threading import Lock, Timer
from typing import List, Dict, Callable
import atexit
try:
from contextvars import ContextVar
_session_info = ContextVar('bugsnag-session', default={}) # type: ignore
except ImportError:
fr... |
1638629 | import random
import pytest
import concurrent.futures
from deepdiff import DeepDiff
from fast_autocomplete.lfucache import LFUCache
class TestLFUcache:
@pytest.mark.parametrize("items, size, expected_results", [
(['a', 'a', 'b', 'a', 'c', 'b', 'd'], 3, [('a', 2), ('b', 1), ('d', 0)]),
(['a', 'a',... |
1638704 | import abc
import os
from pkg_resources import resource_filename
from typing import Optional, List, Dict, Callable, Tuple
import base64
import asyncio
import shutil
import copy
from gtmcore.dataset.io import PushResult, PushObject, PullObject, PullResult
from gtmcore.dataset.manifest.manifest import Manifest, StatusRe... |
1638706 | from etna.analysis.feature_selection.mrmr_selection import AGGREGATION_FN
from etna.analysis.feature_selection.mrmr_selection import AggregationMode
from etna.analysis.feature_selection.mrmr_selection import mrmr
|
1638719 | import sys
from ephyviewer.myqt import QT_MODE
if QT_MODE == 'PyQt5':
from . import icons_PyQt5 as icons
elif QT_MODE == 'PySide2':
from . import icons_PySide2 as icons
elif QT_MODE == 'PyQt4':
from . import icons_PyQt4 as icons
else:
raise ValueError('Could not load icons for unrecognized QT_MODE: ' ... |
1638728 | import maya.cmds as mc
import data
class SetData( data.Data ):
'''
SetData class object.
Contains functions to save, load and rebuild maya sets.
'''
def __init__(self,setNode=None):
'''
SetData class initializer.
'''
# Execute Super Class Initilizer
super(SetData, self).__init__()
# Initialize ... |
1638733 | import inspect
import logging
import warnings
import numpy as np
import astropy.units as u
from spectral_cube import SpectralCube
from . import scDerivativeRoutines as scdr
warnings.filterwarnings("ignore")
def _nicestr(quantity):
if quantity.value == int(quantity.value):
return(str(int(quantity.value))... |
1638734 | import json
from pathlib import Path
from shutil import Error
from unittest.mock import mock_open, patch
import gdk.CLIParser as CLIParser
import gdk.common.consts as consts
import gdk.common.exceptions.error_messages as error_messages
import gdk.common.parse_args_actions as parse_args_actions
import gdk.common.utils ... |
1638735 | from django.db import models
from model_clone import CloneMixin
class CompanyDepot(CloneMixin, models.Model):
name = models.CharField(max_length=255)
|
1638745 | from django.conf.urls import url
from api.licenses import views
app_name = 'osf'
urlpatterns = [
url(r'^$', views.LicenseList.as_view(), name=views.LicenseList.view_name),
url(r'^(?P<license_id>\w+)/$', views.LicenseDetail.as_view(), name=views.LicenseDetail.view_name),
]
|
1638784 | import os
import shutil
def rmgeneric(path, __func__):
try:
__func__(path)
#print 'Removed ', path
return 1
except OSError as e:
print('Could not remove {0}, {1}'.format(path,e))
return 0
def rmfiles(path, ext = None, rmcache = True):
... |
1638786 | import socket
import sys
import rlcompleter
import readline
def run(host, port):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
s.connect((host, port))
print('Connect to %s:%d' % (host, port))
except:
print('Unable to connect %s:%d' % (host, port))
exit(1)
... |
1638809 | from prettytable import PrettyTable
import pandas as pd
from .column import Column, ColumnSet
from .query_templates import query_templates
class Table(object):
"""
A Table is an in-memory reference to a table in a database. You can use it to get more info
about the columns, schema, etc. of a table and you ... |
1638818 | import sys
import time
import amanobot
from amanobot.loop import MessageLoop
from amanobot.namedtuple import InlineQueryResultArticle, InputTextMessageContent
def on_inline_query(msg):
def compute():
query_id, from_id, query_string = amanobot.glance(msg, flavor='inline_query')
print('Inline Query:'... |
1638832 | import pandas as pd
import numpy as np
from sklearn.metrics import f1_score, accuracy_score, precision_recall_fscore_support, classification_report
from seqeval.metrics import (accuracy_score as seqeval_accuracy_score,
classification_report as seqeval_classification_report,
... |
1638896 | from PyInstaller.utils.hooks import collect_submodules
hiddenimports = collect_submodules("brainpy._c")
|
1638937 | from opentsdb.protocols.http_connect import HttpTSDBConnect
from opentsdb.protocols.telnet_connect import TelnetTSDBConnect
from opentsdb.push_thread import HTTPPushThread, TelnetPushThread
from opentsdb.exceptions import UnknownTSDBConnectProtocol
__all__ = ['HttpTSDBConnect', 'TelnetTSDBConnect', 'TSDBConnectProtoco... |
1638954 | def pytest_addoption(parser):
parser.addoption("--exe", action="store", default="py.exe",
help="Path to the py.exe program.")
|
1638971 | import torchvision
from torchexpo.modules import ImageClassificationModule
def resnext50_32x4d():
"""ResNext-50 32x4d Model pre-trained on ImageNet"""
model = torchvision.models.resnext50_32x4d(pretrained=True)
obj = ImageClassificationModule(model, "ResNext-50 32x4d", model_example="default")
return ... |
1638979 | import WeiBanAPI
import json
import time # time.sleep延时
import os # 兼容文件系统
import random
tenantCode = '61050002' # 成电ID
def main():
# 显示License
licenseFile = open('.' + os.sep + 'LICENSE', encoding='utf-8')
print(licenseFile.read())
licenseFile.close()
# 登录
# 补打空cookie
cookie = ''
... |
1638982 | from datetime import timedelta
from django.db import models
from timeseries.utils import TimeSeriesModel, TimeSeriesQuerySet
class AdQuerySet(TimeSeriesQuerySet):
def update_rawdata(self, force=False):
return self.update_timeseries(
'rawdata', ad_data_collector, force=force
)
def... |
1638998 | import os
import shutil
import sys
import subprocess
from uranium import current_build
from uranium.rules import rule, Once
current_build.packages.install("uranium-plus[vscode]")
import uranium_plus
current_build.config.update(
{
"uranium-plus": {
"module": "transmute_core",
"publi... |
1639043 | import os
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers, optimizers, datasets
def prepare_mnist_features_and_labels(x, y):
x = tf.cast(x, tf.float32) / 255.0
y = tf.cast(y, tf.int64)
return x, y
def mnist_dataset():
(x, y), _ = datasets.fashion_mnist.load_dat... |
1639044 | import subprocess
# Designed as a final check to make sure your code matches the provided code.
# Note that a randomized test can be rerun manually from the pa4 directory with
# ./trand seed
# and
# ./mytrand seed
max_seed = 1000
success = 0
failure = 0
failures = []
for i in range(max_seed):
print("Runn... |
1639048 | from django.db.utils import IntegrityError
from django.test import TestCase, skipUnlessDBFeature
from ..models import (
Author, Editor, Post,
TestUniqueNullableModel, TestNullableUniqueTogetherModel,
)
@skipUnlessDBFeature('supports_nullable_unique_constraints')
class TestNullableUniqueColumn(TestCase):
... |
1639128 | import unittest
import numpy
from become_yukarin.dataset import dataset
class TestDataset(unittest.TestCase):
def setUp(self):
self.sample_rate = 24000
self.len_time = len_time = 100
self.fft_size = fft_size = 1024
self.order = order = 59
self.dummy_feature = dataset.Acous... |
1639146 | from binaryninja import Architecture
from .x86 import X86Explainer
from .mips import MipsExplainer
from .aarch64 import AArch64Explainer
from .ual import UALExplainer
from .asm6502 import Asm6502Explainer
from .msp430 import MSP430Explainer
from .powerpc import PowerPCExplainer
from .generic import UnavailableExplain... |
1639162 | import tensorflow as tf
from tensorflow.keras.utils import get_custom_objects
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Layer
from tensorflow.keras import backend as K
def spike(x, threshold=1, bias=0, thresholding=0.5,scaling_factor=1,T=255,ext=0,noneloss=False):
#x = tf.m... |
1639186 | from django.conf.urls import url
from tickets.views import (
edit_ticket,
index,
view_ticket,
delete_attachment,
delete_comment,
delete_ticket,
ticket_status,
edit_comment,
ticket_comment,
admin_tickets_list,
admin_ticket_view,
new_ticket,
)
app_name = "tickets"
urlpatt... |
1639194 | import backend_path
import unittest
import datetime
import numpy as np
from backend.models import config
class ConfigTest(unittest.TestCase):
def test_get_agency(self):
muni = config.get_agency('muni')
self.assertEqual(muni.id, 'muni')
self.assertEqual(muni.provider, 'nextbus')
se... |
1639203 | import os
import os.path
from os import listdir
from os.path import join, isdir
import cv2
import numpy as np
from images_utils import get_images_recursively
def imread(path):
img_bgr = cv2.imread(path)
img_rgb = img_bgr[..., ::-1]
# img_hsl = convert_to_hsl(img_rgb)
return img_rgb.astype(np.float)
def no... |
1639210 | import sys
import os
import zipfile
import sysconfig
import shutil
import tempfile
import imp
import warnings
class ModuleImporter(object):
def __init__(self):
if not zipfile.is_zipfile(sys.executable):
self.exe_zip = None
return
self.exe_zip = zipfile.ZipFile(sys.executabl... |
1639221 | import ipranges
import logging as log
logger = log.getLogger(__name__)
class AddressGroup:
content = list()
def __init__(self, addrGroup):
self.content = list()
if not isinstance(addrGroup, dict):
raise Exception("AddressGroup must be a dictionary")
if "file" in addrGrou... |
1639238 | from collections import defaultdict
from typing import Dict, Sequence, Tuple
import numpy as np
from ..dataset import MotionPredictionDataset
from ..proto import (ObjectPrediction, Submission, Trajectory, Vector3,
WeightedTrajectory)
from ..utils.map import repeated_points_to_array
from .metrics ... |
1639249 | import os
import sys
sys.path.insert(0, os.path.realpath(os.path.join(__file__, '../../')))
for p in os.environ.get('PYTHONPATH', '').split(';'):
sys.path.append(p)
from asserts import *
from ckstyle.doCssFix import doFix
import ckstyle.command.args as args
defaultConfig = args.CommandArgs()
def getFixed(css, nam... |
1639291 | import os
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import torch
from torch.distributions import MultivariateNormal
def sample_digits_maf(model, epoch, random_order=False, seed=None, test=False):
model.eval()
n_samples = 80
if seed is not None... |
1639333 | import pkg_resources
try:
__version__ = pkg_resources.get_distribution(__name__).version
except pkg_resources.DistributionNotFound:
__version__ = 'unknown'
import logging
logging.addLevelName(5, "TRACE")
logging.TRACE = 5
logging.Logger.trace = lambda self, msg, *args, **kwargs: \
self.log(logging.TRACE,... |
1639444 | import yaml
import os
'''
This function is to load the yaml file used for workflows.
How to use this function?
By default getyaml.readyaml() will load data.yaml data.
But if teh workflow reffering to a different yaml file in sampledata folder, call the function like
getyaml.readyaml('data_workflowname.yaml')
If the ... |
1639450 | import re
def camel_to_snake(s: str) -> str:
underscored = re.sub("(.)([A-Z][a-z]+)", r"\1_\2", s)
return re.sub("([a-z0-9])([A-Z])", r"\1_\2", underscored).lower()
|
1639463 | import os
from IPython.core.magic import register_line_magic
os.system('wget -qO tldr https://github.com/dbrgn/tealdeer/releases/download/v1.3.0/tldr-linux-x86_64-musl')
os.system('chmod +x tldr')
os.system('mv tldr /usr/local/bin')
os.system('tldr --update') # need once
@register_line_magic
def tldr(line):
get_... |
1639530 | from django.conf.urls import url
from django.urls import path
from . import views
from .forms import LoginForm
app_name = "accounts"
urlpatterns = [url(r'^login/$',
views.LoginView.as_view(success_url='/'),
name='login',
kwargs={'authentication_form': LoginFor... |
1639534 | from setuptools import setup, find_packages
version = '0.1.0'
install_requires = [
'pyqt5',
'matplotlib',
]
setup(name='chainer_wing',
version=version,
description='ChainerWing -- GUI Deep Learning IDE.',
keywords='Deep Learning',
author='fukatani',
license="BSD 3-Clause",
... |
1639544 | import numpy as np
from typing import Callable, Iterable
def custom_scheduler(
max_steps: int,
update_fn: Callable[[int], float]) -> float:
"""
Create a custom generator for an input param
"""
for step in range(max_steps):
yield update_fn(step)
def get_custom_exp(
max... |
1639582 | import bpy, bmesh
import socket
from struct import unpack
import numpy
from .common import PROTOCOL_VERSION, send_protobuf, receive_protobuf, receive_buffer, receive_into_numpy_array
from .connection import Connection
from .messages_pb2 import ClientMessage, HelloResult, QueryBoundResult, ServerStateResult
# XXX if t... |
1639588 | from auth.reddit_auth import *
from trade_client import *
from store_order import *
from datetime import datetime, time
import time
import json
import os.path
import nltk
nltk.download()
from nltk.sentiment import SentimentIntensityAnalyzer
reddit = load_creds('auth/auth.yml')
config = load_config('config.yml')
key... |
1639619 | import strawberry
import strawberry_django
from .models import User
from .types import Fruit
from . import utils
def test_type_instance():
@strawberry_django.type(User, fields=['id', 'name'])
class UserType:
pass
user = UserType(1, 'user')
assert user.id == 1
assert user.name == 'user'
de... |
1639649 | import numpy as np
from scipy.signal import fftconvolve
"""
This script contains dilation and erosion implementations described in the following link.
https://stackoverflow.com/questions/25034259/scipy-ndimage-morphology-operators-saturate-my-computer-memory-ram-8gb
This implementation deals with memory error faced i... |
1639704 | from .bleu import BleuCorpusMetric
from .distinct import SingleTurnDistinct, MultiTurnDistinct
from .recorder import SingleTurnResponseRecorder
__all__ = [
'BleuCorpusMetric',
'SingleTurnDistinct', 'MultiTurnDistinct',
'SingleTurnResponseRecorder',
] |
1639716 | import os
import time
from django.utils import translation
def screenshot(client, name):
time.sleep(1)
if translation.get_language() != 'en':
p = name.rsplit('.', 1)
p.insert(1, translation.get_language())
name = '.'.join(p)
os.makedirs(os.path.join('screens', os.path.dirname(nam... |
1639763 | import os
import unittest
import rdflib
import sbol2
MODULE_LOCATION = os.path.dirname(os.path.abspath(__file__))
TEST_LOCATION = os.path.join(MODULE_LOCATION, 'resources', 'crispr_example.xml')
PARTS_LOCATION = os.path.join(MODULE_LOCATION, 'resources', 'tutorial', 'parts.xml')
class TestReferencedObjects(unittes... |
1639785 | from .eight_plus_sixteen import * # noqa
from .five_plus_ten import * # noqa
from .four_plus_eight import * # noqa
from .six_plus_twelve import * # noqa
from .ten_plus_twenty import * # noqa
from .three_plus_six import * # noqa
from .two_plus_four import * # noqa
|
1639817 | from .document import DocumentArray
from .storage.sqlite import StorageMixins, SqliteConfig
__all__ = ['SqliteConfig', 'DocumentArraySqlite']
class DocumentArraySqlite(StorageMixins, DocumentArray):
def __new__(cls, *args, **kwargs):
return super().__new__(cls)
|
1639819 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import warnings; warnings.simplefilter('ignore')
from scipy import stats
from ast import literal_eval
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.metrics.pairwise import linear_kern... |
1639848 | from .version import *
import ctypes
def get_file_version_info(filename):
# Get the file version info structure.
pBlock = GetFileVersionInfoW(filename)
pBuffer, dwLen = VerQueryValueW(pBlock.raw, "\\")
if dwLen != ctypes.sizeof(VS_FIXEDFILEINFO):
raise ctypes.WinError(ERROR_BAD_LENGTH)
pVersionInfo = ctypes.ca... |
1639880 | from dataclasses import dataclass
from pathlib import Path
from typing import Optional, Tuple, Union
from pyscreener.docking.metadata import CalculationMetadata
from pyscreener.docking.dock.utils import SphereMode
@dataclass(repr=True, eq=False)
class DOCKMetadata(CalculationMetadata):
probe_radius: float = 1.4
... |
1639889 | import remoto
import json
import ceph_medic
from ceph_medic import terminal
def get_mon_report(conn):
command = [
'ceph',
'--cluster=%s' % ceph_medic.metadata['cluster_name'],
'report'
]
out, err, code = remoto.process.check(
conn,
command
)
if code > 0:
... |
1639891 | import numpy as np
from a_nice_mc.objectives.bayes_logistic_regression import BayesianLogisticRegression
class Heart(BayesianLogisticRegression):
def __init__(self, name='heart', batch_size=32):
data = np.load('data/heart/data.npy')
labels = np.load('data/heart/labels.npy')
# Normalize th... |
1639957 | import sys
sys.path.append("./src")
from github_stats import *
def test_github_user_stats():
resp = get_user_stats("Shravan-1908")
assert resp is not None
invalid_user = get_user_stats("Shravan-1908/hydra")
assert invalid_user is None
def test_github_repo_stats():
resp = get_repo_stats("Shrav... |
1639988 | from django.apps import AppConfig
class PlacesConfig(AppConfig):
name = 'places'
verbose_name = "Places"
|
1639994 | import argparse
import logging
import os
import tensorflow as tf
from distutils.util import strtobool
from multiprocessing import Pool
from multiprocessing.pool import ThreadPool
from generic.data_provider.iterator import Iterator
from generic.tf_utils.evaluator import Evaluator, MultiGPUEvaluator
from generic.tf_uti... |
1640003 | import copy
import requests
from . import responses
from .exceptions import ResponseError, ShipwireError, TimeoutError
""" Add or remove methods and API calls here. """
METHODS = {
'order': {
'create': ['POST', 'orders'],
'get': ['GET', 'orders', ''],
'modify': ['PUT', 'orders', ''],
... |
1640007 | import web
import tempfile
import os
import subprocess
import xmltodict
import json
import cgi
import shutil
from extractor.extractionWrapper import Extraction
from extractor.utilities import Util
urls = (
'/', 'Index',
'/extractor', 'FileHandler', # For uploading a file
'/extractor/file', 'PDFStreamHandler', # For ... |
1640050 | import json
import pulp
import unittest
from pyspatialopt.models import covering, utilities
class GUROBISolverTest(unittest.TestCase):
def setUp(self):
# Read the coverages
with open("valid_coverages/partial_coverage1.json", "r") as f:
self.partial_coverage = json.load(f)
with... |
1640052 | from typing import List, Tuple
from scipy.sparse import lil_matrix, eye
from scipy.sparse.csgraph import structural_rank, breadth_first_order
from scipy.sparse.linalg import inv
from sksparse.cholmod import cholesky
from torch_sparse import SparseTensor
from thgsp.alg import dsatur
from .utils import laplace, biparti... |
1640054 | import json
import urllib.request
import urllib.error
import getpass
import sys
loginpayload = {
"variables": {
"identifier": "",
"email": "",
"password": ""
},
"query": """
mutation ($identifier: String, $email: String, $password: String, $anonymousId: String) {
login(identifier: $identifier, email: $email,... |
1640057 | import logging
from typing import Iterator
from typing import Tuple
from typeguard import check_argument_types
from espnet2.fileio.read_text import read_2column_text
from espnet2.samplers.abs_sampler import AbsSampler
class UnsortedBatchSampler(AbsSampler):
"""BatchSampler with constant batch-size.
Any sor... |
1640060 | from pyids.model_selection import CoordinateAscent
from pyids.algorithms.ids import IDS
from pyids.algorithms import mine_CARs, mine_IDS_ruleset
from pyarc.qcba.data_structures import QuantitativeDataFrame
import pandas as pd
import numpy as np
df_iris = pd.read_csv("../../../data/iris0.csv")
quant_df = Quantitative... |
1640070 | rectangle_side_a = 10
rectangle_side_b = 5
rectangle_area = rectangle_side_a * rectangle_side_b
rectangle_perimeter = 2 * (rectangle_side_a + rectangle_side_b)
print "Let there be a rectangle with the sides of lengths:"
print rectangle_side_a, "and", rectangle_side_b, "cm."
print "Then the area of the rectangle is", re... |
1640077 | from common import get_patch_version, inc_patch_version, GRADLE_PROPERTIES
from git import git_command
if __name__ == '__main__':
patch_version = get_patch_version()
release_branch = f"release-{patch_version}"
git_command("branch", release_branch)
git_command("push", "origin", release_branch)
inc... |
1640103 | import scripts
from deepdiff import DeepDiff
state = {}
def apply(newState):
# Step 1: create new nodes
state = newState
connections = []
for key,value in state.items():
addr = "/project1/lambda/" + key
newOp = createOp(addr, value['ty'])
if 'connections' in value:
connections.extend(list... |
1640123 | import torch
import torch.nn as nn
import numpy as np
np.random.seed(0)
from model.generate_anchor import generate_anchors
from model.bbox_transform import clip_boxes
from model.ellipse_transform import ellipse_transform_inv, ellipse2box
from nms.cpu_nms import cpu_nms
from nms.gpu_nms import gpu_nms
def _filter_b... |
1640141 | from sofi.ui import Column
def test_basic():
assert(str(Column()) == "<div class=\"col-md-4\"></div>")
def test_size_count():
assert(str(Column('lg', 2)) == "<div class=\"col-lg-2\"></div>")
def test_offset():
assert(str(Column('lg', 2, 3)) == "<div class=\"col-lg-2 col-lg-offset-3\"></div>")
def test_c... |
1640189 | import numpy as np
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
from sklearn.exceptions import ConvergenceWarning
from sklearn.utils._testing import ignore_warnings
from imodels.rule_set.rule_fit import RuleFitRegressor
from imodels.util.transforms import FriedScale
## Testing FriedScal... |
1640204 | class Solution:
def areAlmostEqual(self, s1: str, s2: str) -> bool:
d1, d2 = "", ""
for a, b in zip(s1, s2):
if a != b:
d1, d2 = d1 + a, d2 + b
return len(d1) in [0, 2] and sorted(d1) == sorted(d2)
|
1640231 | import pytest
from markupsafe import Markup
def test_adding(escape):
unsafe = '<script type="application/x-some-script">alert("foo");</script>'
safe = Markup("<em>username</em>")
assert unsafe + safe == str(escape(unsafe)) + str(safe)
@pytest.mark.parametrize(
("template", "data", "expect"),
(
... |
1640248 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import functools
from collections import OrderedDict
import random
import os
import math
import pickle
def load_state_dict(model, fname):
"""
Set parameters converted from Caffe models authors of VGGFace2 provide.
See h... |
1640273 | import argparse
import json
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
from datasets.phototourism import build_tourism
from models.nerf import build_nerf
from models.rendering import get_rays_tourism, sample_points, volume_render
from utils.tour_video import create_interpolatio... |
1640298 | import hashlib
from colorama import Fore, Style
from Crypto.Cipher import AES
from elftools.elf.elffile import ELFFile
from .compression import lz77_decompress, lzma_compress
from .exception import (
InvalidStockRomError,
MissingSymbolError,
NotEnoughSpaceError,
ParsingError,
)
from .patch import Firm... |
1640313 | import os
import pytest
from tests import resources
from audiomate.corpus.conversion import base
class DummyAudioFileConverter(base.AudioFileConverter):
def __init__(self, a_ret, sampling_rate=16000, separate_file_per_utterance=False,
force_conversion=False):
super(DummyAudioFileConver... |
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