id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
146879 | import re
# https://developer.mozilla.org/en-US/docs/Web/HTML/Inline_elements#Elements
INLINE_TAGS = {
'a', 'abbr', 'acronym', 'b', 'bdo', 'big', 'br', 'button', 'cite',
'code', 'dfn', 'em', 'i', 'img', 'input', 'kbd', 'label', 'map',
'object', 'q', 'samp', 'script', 'select', 'small', 'span', 'strong',
... |
146915 | import json
from PIL import Image
import torch
from torchvision.transforms import ToTensor
from codes.datasets.MVM3D import *
import warnings
from codes.EX_CONST import Const
warnings.filterwarnings("ignore")
class MVM3D_loader(VisionDataset):
def __init__(self, base, train=True, transform=ToTensor(), target_tra... |
146916 | import os
import time
import logger
import random
import tensorflow as tf
import gym
import numpy as np
from collections import deque
from config import args
from utils import set_global_seeds, sf01, explained_variance
from agent import PPO
from env_wrapper import make_env
def main():
env = make_env()
set_gl... |
146957 | from dataclasses import dataclass
@dataclass
class DiversityFilterParameters:
name: str
minscore: float = 0.4
bucket_size: int = 25
minsimilarity: float = 0.4
|
147009 | rest_api_version = 99
extensions = dict(
required_params=['training_frame', 'x'],
validate_required_params="",
set_required_params="""
parms$training_frame <- training_frame
if(!missing(x))
parms$ignored_columns <- .verify_datacols(training_frame, x)$cols_ignore
""",
with_model="""
model@model$aggreg... |
147024 | import signal
import os
import random
def get_n_running_proc(procs):
statuses = [proc.poll() for proc in procs]
n_proc = sum([1 for st in statuses if st is None]) # None from proc.poll() means that process is still running
return n_proc
def get_n_gpu_proc(gpu):
gpu_command = """nvidia-smi -g """ + ... |
147029 | import pytest
import numpy as np
def assert_equal(arr, arr2):
assert np.array_equal(arr, arr2)
assert arr.dtype == arr2.dtype
def test_bulk_importer_ndarray(repo):
from hangar.bulk_importer import run_bulk_import
from hangar.bulk_importer import UDF_Return
def make_ndarray(column, key, shape, d... |
147062 | from typing import Dict, Optional, List
from maggma.builders.map_builder import MapBuilder
from maggma.core import Store
from pymatgen.core.structure import Structure
from emmet.core.robocrys import RobocrystallogapherDoc
from emmet.core.utils import jsanitize
class RobocrystallographerBuilder(MapBuilder):
def _... |
147074 | import unittest
from unittest import TestCase
from transformers import BertConfig, BertForQuestionAnswering
from nn_pruning.model_structure import BertStructure
from nn_pruning.modules.masked_nn import (
ChannelPruningModulePatcher,
JointPruningModulePatcher,
LinearPruningArgs,
LinearPruningModulePatc... |
147086 | from .admin_feedback_list_view import AdminFeedbackListView
from .region_feedback_list_view import RegionFeedbackListView
from .admin_feedback_actions import (
mark_admin_feedback_as_read,
mark_admin_feedback_as_unread,
delete_admin_feedback,
)
from .region_feedback_actions import (
mark_region_feedback... |
147100 | import torch
import numpy as np
from resnext import get_net, Conv, Bottleneck
config = dict()
config['flip'] = True
config['loss_idcs'] = [1]
net_type = 'resnext101'
config['net_type'] = net_type
input_size = [299, 299]
block = Conv
fwd_out = [64, 128, 256, 256, 256]
num_fwd = [2, 3, 3, 3, 3]
back_out = [64, 128, 256... |
147114 | import os
import numpy as np
from random import choices
from radar_scenes.sequence import get_training_sequences, get_validation_sequences, Sequence
from radar_scenes.labels import ClassificationLabel
from radar_scenes.evaluation import per_point_predictions_to_json, PredictionFileSchemas
class SemSegNetwork:
"""... |
147122 | from __future__ import print_function
def dencrypt(s, n):
out = ""
for c in s:
if c >= "A" and c <= "Z":
out += chr(ord("A") + (ord(c) - ord("A") + n) % 26)
elif c >= "a" and c <= "z":
out += chr(ord("a") + (ord(c) - ord("a") + n) % 26)
else:
out += ... |
147152 | import os
import pytest
import pygame
from tests.shared_fixtures import _init_pygame, default_ui_manager
from tests.shared_fixtures import default_display_surface, _display_surface_return_none
from tests.shared_comparators import compare_surfaces
from pygame_gui.ui_manager import UIManager
from pygame_gui.elements.ui... |
147172 | from collections import Counter, defaultdict
import csv
import json
import os
import random
import sys
from time import time
from metal.contrib.info_extraction.mentions import RelationMention
from metal.contrib.info_extraction.utils import mark_entities
import numpy as np
import torch
from scipy.sparse import issparse... |
147182 | import FWCore.ParameterSet.Config as cms
# Define arbitrary tracker material groups
from RecoTracker.GeometryESProducer.TrackerRecoGeometryESProducer_cfi import *
from SimTracker.TrackerMaterialAnalysis.trackingMaterialGroups_cff import *
# Analyze and plot the tracking material
from SimTracker.TrackerMaterialAnalysi... |
147238 | from astropy import units as u
from six import reraise
from six.moves import zip_longest
import sys
import os
import errno
import itertools
_quantity = u.Quantity
def mkdir_p(path):
""" mkdir -p equivalent [used by get_datafile]"""
try:
os.makedirs(path)
except OSError as exc: # Python >2.5
... |
147243 | from django.core.management.base import BaseCommand
from adminrestrict.models import AllowedIP
class Command(BaseCommand):
help = 'Remove an IP address from the Admin Allowed IP table'
def add_arguments(self, parser):
parser.add_argument('ip_address', type=str)
def handle(self, *args, **options)... |
147246 | from .API_Elements import *
import json
class OAuth:
def __init__(self, bot, secret, redirect_uri, scope):
self.bot = bot
self.secret = secret
self.id = bot.get_self_user().id
self.redirect_uri = redirect_uri
self.scope = scope
def get_url(self):
"""
Get the url for authentification with discord
"... |
147270 | def plug_in(symbol_values):
structure = symbol_values['structure']
factor = structure.composition.get_reduced_formula_and_factor()[1]
uc_cv = symbol_values.get("uc_cv")
uc_cp = symbol_values.get("uc_cp")
molar_cv = symbol_values.get("molar_cv")
molar_cp = symbol_values.get("molar_cp")
if uc_... |
147320 | import os
import pytest
from shapely.geometry import Point
import trackintel as ti
@pytest.fixture
def testdata_tpls():
"""Read triplegs test data from files."""
pfs, _ = ti.io.dataset_reader.read_geolife(os.path.join("tests", "data", "geolife"))
pfs, sp = pfs.as_positionfixes.generate_staypoints(method... |
147333 | import re
if __name__ == '__main__':
n = int(input())
r = r'^[H|h][I|i]\s[^D|d]'
for _ in range(n):
s = input()
if re.match(r, s):
print(s)
|
147369 | class KikErrorException(Exception):
def __init__(self, xml_error, message=None):
self.message = message
self.xml_error = xml_error
def __str__(self):
return self.__repr__()
def __repr__(self):
if self.message is not None:
return self.message
else:
... |
147372 | from pandas import read_table, concat
from config import DATA_DIR
from data_sources.data_source import DataSource
from data_sources.sra import SRAExpressionLayer
from layers import ExpressionLayer
class Recount2(DataSource):
def __init__(self, meta_sra, *args, **kwargs):
# if not meta_sra:
super... |
147376 | from office365.entity import Entity
from office365.entity_collection import EntityCollection
from office365.planner.plans.plan import PlannerPlan
from office365.planner.tasks.task import PlannerTask
from office365.runtime.paths.resource_path import ResourcePath
class PlannerUser(Entity):
"""The plannerUser resour... |
147432 | def anonymous_allowed(fn):
fn.authenticated = False
return fn
def authentication_required(fn):
fn.authenticated = True
return fn
|
147433 | from deidentify.surrogates.generators import AgeSurrogates
def test_replace_one():
annotations = [
'88 jarige',
'24/25e',
'2',
'60',
'patient is 92',
'91 age',
'90 jaar oud',
'89 years',
'101'
]
age_surrogates = AgeSurrogates(annotati... |
147441 | import abc
from lbann import optimizers_pb2
import lbann.core.util
class Optimizer(abc.ABC):
"""Optimization algorithm for a neural network's parameters."""
def export_proto(self):
"""Construct and return a protobuf message."""
return optimizers_pb2.Optimizer()
# Generate Optimizer sub-classes... |
147454 | import algoneer.dataset
from typing import Optional, Iterable, Any
from ..dataschema import AttributeSchema
import abc
class Attribute(abc.ABC):
def __init__(
self, dataset: "algoneer.dataset.Dataset", column: str, schema: AttributeSchema
) -> None:
self._schema = schema
self._colum... |
147491 | import sys
import pytoulbar2
Lines = open(sys.argv[1], 'r').readlines()
N = len(Lines)
Matrix = [[int(e) for e in l.split(' ')] for l in Lines]
Top = 1 + N*N
K = int(sys.argv[2])
Var = [(chr(65 + i) if N < 28 else "x" + str(i)) for i in range(N)] # Political actor or any instance
# Var = ["ron","tom","frank","boy... |
147511 | import datetime
from os import startfile, system
from pathlib import Path
from random import randint
from sys import exit as sysend
class Functions:
def __init__(self):
self.log_prefix = self.log_dated_names()
self.home_path = Path.home()
self.taskymain_path = self.home_path / "Tasky"
... |
147542 | bl_info = {
"name": "New Object",
"author": "YourNameHere",
"version": (1, 0),
"blender": (2, 5, 5),
"api": 33333,
"location": "View3D > Add > Mesh > New Object",
"description": "Adds a new Mesh Object",
"warning": "",
"wiki_url": "",
"tracker_url": "",
"category": "Add Mesh"... |
147549 | from typing import Dict, List
from sqlalchemy.orm import Session
from src.db import models, schemas
def select_prediction_log_all(db: Session) -> List[schemas.PredictionLog]:
return db.query(models.PredictionLog).all()
def select_prediction_log_between(
db: Session,
time_before: str,
time_later: st... |
147552 | from raptiformica.distributed.exec import try_machine_command
def try_issue_shutdown(host_and_port_pairs):
"""
Iterate over host and port pairs and try to issue a shutdown on all nodes until
one returns a nonzero exit code. At that point return the standard out output.
If we ran out of host and port p... |
147607 | import copy as cp
from qubiter.adv_applications.MeanHamil import *
from qubiter.device_specific.Qubiter_to_RigettiPyQuil import *
from qubiter.device_specific.RigettiTools import *
import qubiter.utilities_gen as utg
from openfermion.ops import QubitOperator
from pyquil.quil import Program, Pragma
from pyquil.gates ... |
147636 | r"""undocumented
这个页面的代码很大程度上参考(复制粘贴)了https://github.com/huggingface/pytorch-pretrained-BERT的代码， 如果你发现该代码对你
有用，也请引用一下他们。
"""
__all__ = [
"BertModel",
]
import copy
import json
import math
import os
import torch
from torch import nn
import numpy as np
from ...io.file_utils import _get_file_name_base_on_postf... |
147700 | from random import randint
import json
import time
import requests
import vk
# Настройки
with open('keys.json', 'r') as file:
VK_API_ACCESS_TOKEN = json.loads(file.read())['vk']['token']
with open('sets.json', 'r') as file:
sets = json.loads(file.read())
GROUP_ID = sets['vk']['group']
SERVER_LINK = sets['serve... |
147715 | import os
import sys
from setuptools import setup, find_packages
readme_file = os.path.abspath(os.path.join(os.path.dirname(__file__),
'README.rst'))
try:
long_description = open(readme_file).read()
except IOError as err:
sys.stderr.write("[ERROR] Cannot find file specified as "
"long_description... |
147733 | import ctypes
import sys
import traceback
from ._k4arecordTypes import *
from ..k4a._k4atypes import *
record_dll = None
def setup_library(module_k4arecord_path):
global record_dll
try:
record_dll = ctypes.CDLL(module_k4arecord_path)
except Exception as e:
print("Failed to load library", e)
sys.exit(1)
d... |
147770 | from django.apps import AppConfig
from logux import settings
from logux.utils import autodiscover
class LoguxConfig(AppConfig):
""" Logux app conf """
name = 'logux'
verbose_name = 'Logux'
def ready(self):
# check if all required settings is defined
settings.get_config()
# im... |
147794 | import os
import numpy as np
import pandas as pd
import tensorflow as tf
from PIL import Image
from matplotlib import pyplot as plt
from object_detection.utils import label_map_util
from object_detection.utils import visualization_utils as vis_util
from tqdm import tqdm
CWD_PATH = '/home/ubuntu/rue/object_detector/... |
147797 | from .solver import *
from .convscore_solver import *
from .convscorenegsamp_solver import *
from .convscorenegv1_solver import *
from .convscorencev1_solver import *
from .ruberu_solver import *
from .adem_solver import *
|
147815 | from keras.callbacks import ModelCheckpoint, TensorBoard
from keras.optimizers import Adam
from transformer_keras import get_or_create, save_config
from transformer_keras.custom.callbacks import SGDRScheduler, LRFinder, WatchScheduler, LRSchedulerPerStep
from transformer_keras.data_loader import DataLoader
if __name_... |
147832 | from __future__ import print_function
import logging
import numpy as np
from optparse import OptionParser
# import sys
from time import time
import matplotlib.pyplot as plt
import os
import argparse as ap
# from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import TfidfVectorizer
fro... |
147849 | import numpy as np
import tensorflow as tf
from tensorflow.keras.wrappers.scikit_learn import KerasClassifier
from tensorflow.keras.layers import Conv1D, Conv2D, Conv3D, MaxPool1D, \
MaxPool2D, MaxPool3D, Dense, Flatten, Dropout
from mil.errors.custom_exceptions import Dimensi... |
147863 | import os
import requests
from ..version import version
latest_url = "https://github.com/mazurwiktor/albion-online-stats/releases/latest"
def get_version():
return version
def latest_version():
req = requests.get(latest_url)
if req.status_code == 200:
return os.path.basename(req.url)
retur... |
147885 | import logging
from kedro.extras.logging import ColorHandler
def test_color_logger(caplog):
log = logging.getLogger(__name__)
for handler in log.handlers:
log.removeHandler(handler) # pragma: no cover
log.addHandler(ColorHandler())
log.info("Test")
for record in caplog.records:
... |
147888 | from dataclasses import dataclass
import json
from typing import Dict
@dataclass
class TrainerConfig:
tokenizers: Dict
def __post_init__(self):
pass
@classmethod
def load_from_json(cls, config):
return cls(
tokenizers = config["tokenizers"]
)
@classmethod
def load_from_namespace(cls, ... |
147920 | table = {'1985': 'Test movie' , '1983': 'Test Movie2' , '2000': 'Test Movie 3'}
year = '1983'
movie = table[year]
print(movie)
for year in table:
print(year + '\t' + movie + '\t') |
147923 | from TwitterAPI import TwitterAPI
from tqdm import tqdm
from time import sleep
class Threader(object):
def __init__(self, tweets, api, user=None, wait=None, max_char=280, end_string=True):
"""Create a thread of tweets.
Note that you will need your Twitter API / Application keys for
this to... |
147969 | from ..registers import Register, RegisterClass
from ... import ir
class Accumulator(Register):
bitsize = 8
# TODO: hack, this is no register but a stack position!
class Temporary(Register):
""" On stack temporary """
bitsize = 8
A = Accumulator("A", num=0)
r0 = Temporary("r0", 0)
r1 = Temporary("r1... |
147982 | import _io
import torch
import pickle
from torchvision import transforms
from PIL import Image
from ocrd_typegroups_classifier.data.classmap import ClassMap
from ocrd_typegroups_classifier.data.classmap import IndexRemap
class TypegroupsClassifier:
""" Class wrapping type group information and a classifier.
... |
148001 | import models.local_model as model
import models.dataloader as dataloader
from models import training
import argparse
import torch
import config.config_loader as cfg_loader
parser = argparse.ArgumentParser(
description='Train Model'
)
parser.add_argument('config', type=str, help='Path to config file.')
args = par... |
148008 | from contextlib import suppress
from aiogram import Dispatcher, types
from aiogram.dispatcher.filters import IsReplyFilter, IDFilter
from bot.blocklists import banned, shadowbanned
from bot.handlers.adminmode import extract_id
async def cmd_ban(message: types.Message):
try:
user_id = extract_id(message)... |
148065 | import os
import unittest
from BaseSpacePy.api.BaseMountInterface import BaseMountInterface, BaseMountInterfaceException
def get_basemount_root():
import getpass
username = getpass.getuser()
config_name = "hoth"
basemount_root = "/basespace"
basemount_target = "%s.%s" % (username, config_name)
... |
148096 | import sys
from timeit import timeit
import matplotlib.pyplot as plt
import numpy as np
# from numba import jit, njit
# from numba.typed import List
from statistics import mean
import ray
from multiprocessing import Pool
# Silences Numba warnings about a Python list being passed into a numba function
import warnings
... |
148112 | class EnergyAnalysisDetailModelOptions(object,IDisposable):
"""
Options that govern the calculations for the generation of the energy analysis detail model.
EnergyAnalysisDetailModelOptions()
"""
def Dispose(self):
""" Dispose(self: EnergyAnalysisDetailModelOptions) """
pass
def ReleaseUnmanage... |
148113 | import os
import os.path as osp
import subprocess
import time
import sys
import argparse
import numpy as np
from sklearn.metrics import roc_auc_score
import time
LSGKM_DIR = osp.join("baselines", "lsgkm-master/src")
LSGKM_TRAIN = osp.join(LSGKM_DIR, "gkmtrain")
LSGKM_PREDICT = osp.join(LSGKM_DIR, "gkmpredict")
def g... |
148123 | import tensorflow as tf
weight = tf.Variable(1.0,name="weight")
input_value = tf.constant(0.5,name="input_value")
expected_output = tf.constant(0.0,name="expected_output")
model = tf.multiply(input_value,weight,"model")
loss_function = tf.pow(expected_output - model,2,name="loss_function")
optimizer = tf.train.Gradie... |
148165 | import clawpack.pyclaw
class State(clawpack.pyclaw.State):
"""Parallel State class"""
__doc__ += clawpack.pyclaw.util.add_parent_doc(clawpack.pyclaw.state)
@property
def num_eqn(self):
r"""(int) - Number of unknowns (components of q)"""
if self.q_da is None:
raise Exceptio... |
148174 | import pynetbox
import os
import ipaddress
netbox_token = os.getenv("NETBOX_TOKEN")
netbox_url = os.getenv("NETBOX_URL")
site_name = os.getenv("NETBOX_SITE")
tenant_name = os.getenv("NETBOX_TENANT")
netbox = pynetbox.api(netbox_url, token=netbox_token)
tenant = netbox.tenancy.tenants.get(name=tenant_name)
mgmt_tena... |
148175 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.animals import animals
def test_animals():
"""Test module animals.py by downloading
animals.csv and testing shape of
extracted data has 20... |
148262 | import torch
import torch.nn as nn
class Model(nn.Module):
def __init__(self, **kwargs):
super(Model, self).__init__()
self.image_size = kwargs['IMAGE_SIZE']
self.patch_keys = kwargs['PATCH_KEYS']
self.target_keys = kwargs['TARGET_KEYS']
self.layer1 = nn.Sequential(nn.Co... |
148264 | import typing as t
from pathlib import Path
import yaml
def get_resources(path: Path) -> t.List[t.Dict]:
"""Loads resource YAMLs from provided path."""
resources = []
for item in path.iterdir():
if item.is_file() and item.suffix == ".yaml" and item.name != "_category_info.yaml":
reso... |
148270 | import pandas as pd
import toolz
import ibis.common.exceptions as com
import ibis.config
import ibis.expr.schema as sch
import ibis.expr.types as ir
from ibis.backends.base import BaseBackend
from .client import PandasDatabase, PandasTable, ibis_schema_to_pandas
class BasePandasBackend(BaseBackend):
"""
Bas... |
148312 | import json
import aiohttp
from aiohttp import TCPConnector
from aiohttp.errors import ClientConnectionError
from plumeria.util.network import NameResolver
class SelectiveConnector(TCPConnector):
def __init__(self, *args, port_validator=None, **kwargs):
super().__init__(*args, **kwargs)
self.por... |
148318 | from PIL import Image
from torch.autograd import Variable
import numpy as np
import matplotlib.pyplot as plt
from examples.classification.cat_dog_net import CatDogNet
from pytorch_toolbox.transformations.image import Resize, Normalize, NumpyImage2Tensor
from pytorch_toolbox.transformations.to_float import ToFloat
from ... |
148319 | from setuptools import find_packages, setup
install_requires = [
"pandas",
"numpy",
"networkx",
"matplotlib",
"seaborn",
"tqdm",
]
#setup_requires = ['pytest-runner']
#tests_require = [
# 'pytest',
# 'pytest-cov',
# 'codecov'
#]
keywords = [
"bitcoin",
"lightning-network",
... |
148337 | import FWCore.ParameterSet.Config as cms
process = cms.Process("BSworkflow")
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring(
"/store/express/Run2015A/StreamExpress/ALCARECO/TkAlMinBias-Express-v1/000/246/959/00000/14174DF2-490A-E511-9862-02163E0143E9.root",
)
)
process.load... |
148353 | import pymongo
import sys
from pymongo import MongoClient
client = MongoClient()
db = client['scraping'] #get the database
lang = sys.argv[1]
## The database consists of 3 different collections
# 1. tweets
# 2. blog posts
# 3. forum posts
tweets = db['tweets']
blog_posts = db['blogPosts']
forum_posts = db['forumP... |
148374 | JOINTS = {
"HipCenter": 0,
"RHip": 1,
"RKnee": 2,
"RFoot": 3,
"LHip": 4,
"LKnee": 5,
"LFoot": 6,
"Spine": 7,
"Thorax": 8,
"Neck/Nose": 9,
"Head": 10,
"LShoulder": 11,
"LElbow": 12,
"LWrist": 13,
"RShoulder": 14,
"RElbow": 15,
"RWrist": 16,
}
EDGES = (... |
148381 | from __future__ import print_function
import sys
import numpy
import pytest
import struct
from stl import mesh
_STL_FILE = '''
solid test.stl
facet normal -0.014565 0.073223 -0.002897
outer loop
vertex 0.399344 0.461940 1.044090
vertex 0.500000 0.500000 1.500000
vertex 0.576120 0.500000 1.117320
endlo... |
148382 | from federated_aggregations.channels.channel_grid import ChannelGrid
from federated_aggregations.channels.channel import Channel
from federated_aggregations.channels.channel import PlaintextChannel
from federated_aggregations.channels.channel import EasyBoxChannel
|
148400 | import os
import re
from lxml import html
import requests
import jsbeautifier
response = requests.get('http://app.youneedabudget.com')
with open('index.html', 'w', encoding='utf-8') as file_before:
file_before.write(response.text)
parsed = html.fromstring(response.text)
for src in parsed.xpath('//script/@src'):
... |
148414 | import contextlib
import itertools
import os
import pathlib
import re
import subprocess
import attr
@attr.s
class Installation:
path = attr.ib(convert=pathlib.Path)
@property
def python(self):
return self.path.joinpath('python.exe')
@property
def scripts_dir(self):
return self.... |
148429 | import base64
import logging
import operator
import numpy as np
from api.v1alpha1.grpc_proto.grpc_algorithm.python3 import api_pb2
logger = logging.getLogger(__name__)
class Parameter:
def __init__(self, name, space_list):
self.name = name
self.space_list = space_list
self.space_list.so... |
148450 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
import xml.etree.ElementTree as ET
import arrow
from builtins import *
from nzbhydra.categories import getByNewznabCats
from nzbhydra.exceptions import I... |
148512 | import os
import os.path
import sys
import random
import json
import tempfile
import shutil
from twisted.internet import reactor, defer
from twisted.trial import unittest
pd = os.path.dirname
this_dir = pd(os.path.abspath(__file__))
sys.path.append( pd(this_dir) )
sys.path.append( os.path.join(pd(this_dir), 'exampl... |
148513 | from jinja2 import Undefined
from lektor.constants import PRIMARY_ALT
class BadValue(Undefined):
__slots__ = ()
def get_undefined_info(undefined):
if isinstance(undefined, Undefined):
try:
undefined._fail_with_undefined_error()
except Exception as e:
return str(e)
... |
148528 | import pytest
import warnings
warnings.filterwarnings('ignore')
@pytest.mark.basic
def test_resize_ratio():
"""
Testing the resize_ratio function
Returns: Nothing
"""
import numpy as np
from deep_utils import resize_ratio
dummy_images = [np.random.randint(0, 255, (1200, 900, 3), dtype=np.... |
148536 | load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@npm//@bazel/protractor:package.bzl", "npm_bazel_protractor_dependencies")
load("@npm//@bazel/karma:package.bzl", "npm_bazel_karma_dependencies")
load("@io_bazel_rules_webtesting//web:repositories.bzl", "web_test_repositories")
load("@io_bazel_r... |
148538 | import os
import logging
import posixpath
import stat
from django.utils.http import urlquote
from seaserv import seafile_api
from seahub.base.models import UserStarredFiles
from seahub.base.templatetags.seahub_tags import email2nickname, email2contact_email
from seahub.settings import ENABLE_VIDEO_THUMBNAIL, THUMBNAI... |
148546 | import tensorflow as tf
from tensorflow.keras.layers import Input, Dense, Add, Subtract, Lambda
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import RMSprop
import tensorflow.keras.backend as K
c = tf.constant(['a', 'b'])
e = tf.math.erf([1.0, -0.5, 3.4, -2.1, 0.0, -6.5])
input = tf.keras... |
148563 | import json
import logging
import os
from random import Random
from typing import Dict, Optional, Iterable, List
import srsly
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.fields import TextField, MetadataField
from allennlp.data.instance import Instance
from allennlp.data.t... |
148569 | from collections import OrderedDict, deque
from rlkit.core.eval_util import create_stats_ordered_dict
from rlkit.samplers.data_collector.base import PathCollector
from rlkit.torch.model_based.dreamer.rollout_functions import vec_rollout
class VecMdpPathCollector(PathCollector):
def __init__(
self,
... |
148620 | import os
import numpy as np
import json
import random
import jieba
import collections
from tqdm import tqdm
import config.args as args
from util.Logginger import init_logger
from pytorch_pretrained_bert.tokenization import BertTokenizer
logger = init_logger("QA", logging_path=args.log_path)
with open('TC/pybert/io/P... |
148624 | import configparser
import os
import subprocess
import sys
import time
import boto3
import requests
from botocore.config import Config
def convert_dev(dev):
# Translate the device name as provided by the OS to the one used by EC2
# FIXME This approach could be broken in some OS variants, see
# https://do... |
148628 | from typing_extensions import Final # noqa: F401
EMAILS_FILE = 'emails.jsonl' # type: Final
USERS_FILE = 'zzusers.jsonl' # type: Final
|
148640 | import pytest
from typing import List
from tests.globals.constants import NUMBER_OF_DOCUMENTS
from tests.globals.document import complex_nested_document, simple_nested_document
@pytest.fixture(scope="session")
def assorted_nested_documents() -> List:
return [complex_nested_document() for _ in range(NUMBER_OF_D... |
148646 | import base64
from flask import request
from functools import wraps
from flask_restful import Resource, reqparse, abort
from data.users import User, DuplicateUserError, login
class UsersApi(Resource):
def post(self):
parser = reqparse.RequestParser()
parser.add_argument('username', type=str, req... |
148707 | import numpy as np
import unittest
from monte_carlo_tree_search import Node, MCTS, ucb_score
from game import Connect2Game
class MCTSTests(unittest.TestCase):
def test_mcts_from_root_with_equal_priors(self):
class MockModel:
def predict(self, board):
# starting board is:
... |
148772 | import os
from django.conf import settings
from django.core.management import call_command
from django.test import TestCase
from frontend.models import RegionalTeam
class TestImportRegionalTeams(TestCase):
def test_import_stps(self):
path = os.path.join(settings.APPS_ROOT, "pipeline", "test-data", "eauth.... |
148776 | import inspect
from itertools import islice
from functools import partial
from types import BuiltinFunctionType
def _get_name(func):
"""get a function's name"""
if hasattr(func, '__name__'):
if func.__name__ == '<lambda>':
# this is pretty sketchy
return inspect.getsource(func)... |
148777 | from ext.ftp.manager import FTPManager
from tests.main import MainTestClass
from zeex.core.ctrls.ftp import FtpReply, FtpManager, Downloader
import pytest
import os
class TestFTPManager(MainTestClass):
@pytest.fixture
def manager(self):
sample_connection = ['speedtest.tele2.net', 'anonymous', 'guest'... |
148796 | import torch
from mmdet3d.ops import SparseBasicBlock
from mmdet3d.ops import spconv as spconv
def test_SparseUNet():
from mmdet3d.models.middle_encoders.sparse_unet import SparseUNet
self = SparseUNet(in_channels=4, sparse_shape=[41, 1600, 1408])
# test encoder layers
assert len(self.encoder_layers... |
148824 | import io
import socket
import ssl
import sys
if sys.version_info.major == 3:
text_stream_types = io.TextIOBase
bytes_stream_types = io.BufferedIOBase
else:
text_stream_types = io.TextIOBase
bytes_stream_types = io.BufferedIOBase, file # noqa: F821
SYSLOG_PORT = 514
# RFC6587 framing
FRAMING_OCTET_C... |
148879 | from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import json
import os
from sheetsite.site_queue import app
import smtplib
@app.task
def notify_one(email, subject, page, text):
print("send [%s] / %s / %s" % (email, subject, page))
server_ssl = smtplib.SMTP_SSL("smtp.gmail.... |
148904 | from __future__ import absolute_import
import json
from six import string_types
from jet_bridge_base.fields.field import Field
class JSONField(Field):
field_error_messages = {
'invalid': 'not a valid JSON'
}
def to_internal_value_item(self, value):
if isinstance(value, string_types):
... |
148918 | import xlrd
import functools
from django import forms
from django.core.exceptions import ValidationError
from django.template.loader import render_to_string
from .base import (BasePriceList, hourly_rates_only_validator,
min_price_validator)
from .spreadsheet_utils import generate_column_index_map, ... |
148991 | import logging
import os
from os.path import isfile, join
import numpy as np
from data_io import file_reading
from data_io import x_y_spliting
#import matplotlib.pyplot as plt
def data_plot(data_file, class_column=0, delimiter=' '):
x_matrix, attr_num = file_reading(data_file, delimiter, True)
x_matrix, y_vect... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.