id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
4832143 | import re
from django.conf import settings
def test_CORS_ALLOWED_ORIGIN_REGEXES():
"""Test that regexes math orgins for Google add-ons. etc"""
for origin in (
# These are origin URLS used by our Google Docs add-on
"https://n-zoqnmwqnnhslxffeq3hh6ne46wicurqczwe4csa-0lu-script.googleusercontent... |
4832178 | import numpy as np
import torch
from model.tsm.ops.models import TSN
from model.pytorch_i3d import InceptionI3d
from model.pytorch_i3d_tc import InceptionI3dTc
from model.pytorch_i3d_tsm import InceptionI3dTsm
from model.pytorch_i3d_lstm import InceptionI3dLstm
from model.pytorch_i3d_nl import InceptionI3dNl
from model... |
4832179 | import parmed.unit as units
from intermol.decorators import accepts_compatible_units
from intermol.forces.abstract_dihedral_type import AbstractDihedralType
class BendingTorsionDihedralType(AbstractDihedralType):
__slots__ = ['a0', 'a1', 'a2', 'a3', 'a4', 'improper']
@accepts_compatible_units(None, None, No... |
4832183 | from transformers import BertConfig, BertModel, BertTokenizer, BertPreTrainedModel
from retrieval.dense import DprRetrieval
class BertEncoder(BertPreTrainedModel):
def __init__(self, config):
super(BertEncoder, self).__init__(config)
self.bert = BertModel(config)
self.init_weights()
... |
4832190 | from rlberry.agents.mbqvi import MBQVIAgent
from rlberry.envs.benchmarks.ball_exploration.ball2d import get_benchmark_env
from rlberry.wrappers.discretize_state import DiscretizeStateWrapper
env = get_benchmark_env(level=5)
env = DiscretizeStateWrapper(env, 25)
params = {}
params["n_samples"] = 20 # samples per stat... |
4832196 | from federatedml.transfer_variable.transfer_class.homo_label_encoder_transfer_variable \
import HomoLabelEncoderTransferVariable
from federatedml.util import consts
from federatedml.util import LOGGER
class HomoLabelEncoderClient(object):
def __init__(self):
self.transvar = HomoLabelEncoderTransferVa... |
4832205 | import os
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
from torch.utils.data import DataLoader
from torch.autograd import Variable
from torchvision import models
import torch.nn.functional as F
import numpy as np
import time
from tensorboar... |
4832209 | import merge
import unittest
from cs.CsAddress import CsInterface
from cs.CsConfig import CsConfig
from cs.CsDatabag import CsCmdLine
class TestCsInterface(unittest.TestCase):
def setUp(self):
merge.DataBag.DPATH = "."
csconfig = CsConfig()
self.cmdline = CsCmdLine("cmdline", csconfig)
... |
4832234 | from enum import Enum
PROTOCOL_VERSION = 1
LITTLE_ENDIAN = ord('l')
BIG_ENDIAN = ord('B')
class HeaderField(Enum):
PATH = 1
INTERFACE = 2
MEMBER = 3
ERROR_NAME = 4
REPLY_SERIAL = 5
DESTINATION = 6
SENDER = 7
SIGNATURE = 8
UNIX_FDS = 9
|
4832236 | def human_readable_byte_size(nbytes: int) -> str:
"""
Parameters
----------
nbytes : int
Returns
-------
Human readable string : str
"""
suffixes = ['B', 'KB', 'MB', 'GB', 'TB', 'PB']
i = 0
while nbytes >= 1024 and i < len(suffixes) - 1:
nbytes /= 1024.0
i ... |
4832298 | from tornado_jinja2 import Jinja2Loader
import unittest
import jinja2
class LoaderTest(unittest.TestCase):
templates_path = 'test/templates/'
def setUp(self):
self.jinja2_env = jinja2.Environment(
loader=jinja2.FileSystemLoader(self.templates_path))
self.loader = Jinja2Loader(se... |
4832302 | import lldb
def pyobj_summary(value, unused):
if value is None or value.IsValid() == False or value.GetValueAsUnsigned(0) == 0:
return "<invalid>"
refcnt = value.GetChildMemberWithName("ob_refcnt")
expr = "(char*)PyString_AsString( (PyObject*)PyObject_Str( (PyObject*)0x%x) )" % (
value.Get... |
4832308 | import cv2
import numpy as np
import skimage.morphology
from skimage.morphology import convex_hull_image, erosion
from skimage.morphology import square
import math
class MinutiaeFeature(object):
def __init__(self, locX, locY, Orientation, Type):
self.locX = locX;
self.locY = locY;
self.Orie... |
4832314 | from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
from tests.common import (
DOG_IMAGE_URL,
GENERAL_MODEL_ID,
NON_EXISTING_IMAGE_URL,
RED_TRUCK_IMAGE_FILE_PATH,
both_channels,
metadata,
raise_on_failure,
... |
4832349 | import sys
import numpy as np
import astropy.units as u
import matplotlib.pyplot as plt
sys.path.append("../../")
from agnpy.targets import SphericalShellBLR, RingDustTorus
blr = SphericalShellBLR(1e46 * u.Unit("erg s-1"), 0.1, "Lyalpha", 1e17 * u.cm)
dt = RingDustTorus(1e46 * u.Unit("erg s-1"), 0.6, 1000 * u.K)
prin... |
4832354 | from unittest import TestCase
from mock import Mock, create_autospec
from pyVmomi import vim
from cloudshell.cp.vcenter.network.dvswitch.creator import DvPortGroupCreator
class TestDvPortGroupCreator(TestCase):
def test_create_dv_port_group_exception(self):
# Arrange
pyvmomy_service = Mock()
... |
4832385 | import os
import time
import client.api
import client.models
import psutil
from mamba import description, before, after, it
from expects import *
from expects.matchers import Matcher
from common import Config, Service
from common.helper import (make_dynamic_results_config,
check_modules_exists,... |
4832409 | import tensorflow as tf
import numpy as np
from functools import reduce
VGG_MEAN = [103.939, 116.779, 123.68]
class Vgg19:
"""
A trainable version VGG19.
"""
def __init__(self, vgg19_npy_path=None, trainable=True, dropout=0.5):
if vgg19_npy_path is not None:
self.data_dict = np.... |
4832427 | import sys
import matplotlib
matplotlib.use("Agg")
from pylab import *
ioff()
base = '../'
sys.path.append(base+"utils/Continuum/")
sys.path.append(base+"utils/Correlation/")
sys.path.append(base+"utils/GLOBALutils/")
sys.path.append(base+"utils/OptExtract/")
baryc_dir= base+'utils/SSEphem/'
sys.path.append(baryc_d... |
4832447 | import re
import xml.etree.ElementTree as ET
import logging
import datetime, time
import requests
import traceback
from StringIO import StringIO
from PIL import Image, ImageDraw, ImageFont
from collections import OrderedDict
from sqlalchemy import inspect
from flask import current_app
from emonitor.extensions import ev... |
4832472 | import argparse
import torch
import mmcv
import tempfile
import os.path as osp
import torch.distributed as dist
import shutil
from mmcv.runner import load_checkpoint, parallel_test, obj_from_dict, get_dist_info
from mmcv.parallel import scatter, collate, MMDataParallel, MMDistributedDataParallel
from mmaction.apis imp... |
4832475 | from flask import current_app
from flask_classful import FlaskView, route
from flask_json import as_json
from flexmeasures.data import db
def _check_sql_database():
try:
db.session.execute("SELECT 1").first()
return True
except Exception: # noqa: B902
current_app.logger.exception("Da... |
4832492 | import h5py
import numpy as np
import cv2
from pathlib import Path
if __name__ == '__main__':
data_path = Path('../data/trainext/')
real_path = Path('../real/')
n_scenes = 64
height = 160
width = 280
n_channels = 38
h5f = h5py.File(str(Path(real_path / ('trainext.hdf5'))), 'w')
dset_im... |
4832508 | from requests.auth import HTTPBasicAuth
from requests_oauthlib import OAuth1Session, OAuth2Session
from oauthlib.oauth2 import BackendApplicationClient
from oauthlib.common import to_unicode
from . import __version__
import requests
import json
TWITTER_API_VERSION = '1.1'
TWITTER_BASE_API_URL = 'https://%s.twitter.co... |
4832511 | import logging
logging.basicConfig(level=logging.WARNING)
logger = logging.getLogger("setup.py")
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
import os
from setuptools.command.install import install
from setuptools.comman... |
4832523 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from sklearn import preprocessing
from .data import Data
from ..backend import tf
from ..utils import run_if_any_none
class MfFunc(Data):
"""Multifidelity function approximation."""
... |
4832542 | import os
from itertools import combinations
from logging import getLogger
from typing import List
import community
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
import timeout_decorator
from pyfpgrowth import find_frequent_patterns
from gilot.hotspot import get_hotspots
logger = getLogge... |
4832565 | import hashlib
import hmac
import json
import ssl
from datetime import datetime
import requests
# from pythonwhois.parse import parse_raw_whois
from mongoengine import FieldDoesNotExist
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.poolmanager import PoolManager
from core.analytics import ... |
4832592 | from .channel_shuffle import channel_shuffle
from .inverted_residual import InvertedResidual
from .make_divisible import make_divisible
from .se_layer import SELayer, SELayer1D
__all__ = ['channel_shuffle', 'make_divisible', 'InvertedResidual', 'SELayer', 'SELayer1D']
|
4832625 | from biicode.common.model.resource import Resource
from biicode.common.exception import BiiException
from biicode.common.migrations.biiconfig_migration import migrate_block_holder
from biicode.common.model.symbolic.block_version import BlockVersion
from biicode.common.model.content import Content
def select_version(h... |
4832629 | from streamlink.plugins.sportal import Sportal
from tests.plugins import PluginCanHandleUrl
class TestPluginCanHandleUrlSportal(PluginCanHandleUrl):
__plugin__ = Sportal
should_match = [
"http://sportal.bg/sportal_live_tv.php?str=15",
"http://www.sportal.bg/sportal_live_tv.php?",
"htt... |
4832656 | class ScrollEventArgs(EventArgs):
"""
Provides data for the Scroll event.
ScrollEventArgs(type: ScrollEventType,newValue: int)
ScrollEventArgs(type: ScrollEventType,newValue: int,scroll: ScrollOrientation)
ScrollEventArgs(type: ScrollEventType,oldValue: int,newValue: int)
ScrollEventArgs(type: ... |
4832658 | import time
import pickle
import numpy as np
import tensorflow as tf
def get_vars_underscope(scope, name):
returned_vars= []
for v in tf.global_variables():
if scope+'/'+name in v.op.name:
returned_vars+= [v]
return returned_vars
def timeit(f):
""" Decorator to time Any Function ""... |
4832666 | def sum_of_multiples_3_5(n):
return reduce(lambda x, y: x+y if not y%3 or not y%5 else x, xrange(n), 0) |
4832674 | import numpy as np
import astropy.units as u
import poppy
# active optics classes
__all__ = ['TipTiltStage']
class TipTiltStage(poppy.poppy_core.OpticalElement):
"""Put an arbitrary optic on a tip-tilt stage, so we can actively adjust its tip and tilt.
This is implemented internally like a compound optic be... |
4832692 | class Config():
def __init__(self, embed):
self._n_w = 300
self._n_h = 512
self._n_f = 64
self._n_v = 12596
self._n_t = 1300# 1155
self._n_z1 = 2048
self._n_z2 = 1536
self._embed = embed
self._lr = 2e-4
self._train_size = 48774
... |
4832719 | from typing import Any
import numpy as np
f8 = np.float64()
i8 = np.int64()
u8 = np.uint64()
f4 = np.float32()
i4 = np.int32()
u4 = np.uint32()
td = np.timedelta64(0, "D")
b_ = np.bool_()
b = bool()
f = float()
i = int()
AR_b: np.ndarray[Any, np.dtype[np.bool_]]
AR_m: np.ndarray[Any, np.dtype[np.timedelta64]]
# T... |
4832728 | import bpy
from .....logger import SLoggingManager
from ..source1_shader_base import Source1ShaderBase
log_manager = SLoggingManager()
logger = log_manager.get_logger('MaterialLoader')
class DetailSupportMixin(Source1ShaderBase):
@property
def detail(self):
texture_path = self._vavle_material.get_pa... |
4832751 | import numpy as np
LABELS = ['activating invasion and metastasis', 'avoiding immune destruction',
'cellular energetics', 'enabling replicative immortality', 'evading growth suppressors',
'genomic instability and mutation', 'inducing angiogenesis', 'resisting cell death',
'sustaining proli... |
4832759 | from django.urls import include, path
from .views import DatasetCatalog, DatasetImportAPI
urlpatterns = [
path("fp/", include("django_drf_filepond.urls")),
path(route="projects/<int:project_id>/upload", view=DatasetImportAPI.as_view(), name="upload"),
path(route="projects/<int:project_id>/catalog", view=D... |
4832779 | import os
import sys
from simtk.unit import angstrom
from simtk.unit import kilocalorie_per_mole
from non_aditive_qbias import non_aditive_qbias_term
from openmmawsem import *
try:
OPENAWSEM_LOCATION = os.environ["OPENAWSEM_LOCATION"]
sys.path.append(OPENAWSEM_LOCATION)
# print(OPENAWSEM_LOCATION)
except K... |
4832788 | from fontTools.pens.basePen import BasePen
def pointToString(pt):
return " ".join([str(i) for i in pt])
class SVGPathPen(BasePen):
def __init__(self, glyphSet):
BasePen.__init__(self, glyphSet)
self._commands = []
self._lastCommand = None
self._lastX = None
self._las... |
4832822 | import datetime
from azure.storage.blob import BlockBlobService
from azure.storage.blob.models import ContainerPermissions
class ParameterMapper:
def map_parameters(
self,
storage_acc_url: str,
storage_client: BlockBlobService,
parameter_json: object,
j... |
4832834 | import os
import re
import subprocess
import random
import shutil
import logging
import time
from anchore import anchore_utils
from anchore.util import scripting, contexts
class Navigator(object):
_logger = logging.getLogger(__name__)
def __init__(self, anchore_config, imagelist, allimages):
self.con... |
4832838 | import json
import pytest
from ethpm_cli.commands.registry import (
activate_registry,
add_registry,
generate_registry_store_data,
remove_registry,
resolve_uri_or_alias,
)
from ethpm_cli.constants import REGISTRY_STORE
from ethpm_cli.exceptions import InstallError
URI_1 = "erc1319://0x12300000000... |
4832851 | from .dev import *
DATABASES = {
"default": {
"ENGINE": "django.db.backends.postgresql",
"NAME": "spongeauth",
"USER": "spongeauth",
"PASSWORD": "<PASSWORD>",
"HOST": "db",
"ATOMIC_REQUESTS": True,
}
}
EMAIL_BACKEND = "django.core.mail.backends.smtp.EmailBackend... |
4832897 | import copy
import logging
import functools
from ptsemseg.loss.loss import cross_entropy2d
from ptsemseg.loss.loss import cross_entropy1d
from ptsemseg.loss.loss import bootstrapped_cross_entropy2d
from ptsemseg.loss.loss import multi_scale_cross_entropy2d
from ptsemseg.loss.loss import mse
from ptsemseg.loss.loss imp... |
4832916 | import ast
import astunparse
import black
def ast_name(name):
return ast.Name(id=name)
def ast_module(*body):
return ast.Module(body=ast_body(body))
def ast_body(body):
return [item for item in body if item]
def ast_import(module, name=None, alias=None):
if name:
if isinstance(name, dict... |
4832917 | import re
import floss
import vivisect
from collections import namedtuple
from floss import strings
from floss import main
MAX_FILESIZE = 16*1024*1024
MIN_STRINGLEN = 4
ASCII_BYTE = " !\"#\$%&\'\(\)\*\+,-\./0123456789:;<=>\?@ABCDEFGHIJKLMNOPQRSTUVWXYZ\[\]\^_`abcdefghijklmnopqrstuvwxyz\{\|\}\\\~\t"
String = namedtuple(... |
4832927 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.biomass_till import biomass_till
def test_biomass_till():
"""Test module biomass_till.py by downloading
biomass_till.csv and testing shape of... |
4832936 | from os import path
from wdom.document import get_document
from wdom.server import start, add_static_path
from wdom.tag import Button
if __name__ == '__main__':
static_dir = path.join(path.dirname(path.abspath(__file__)), 'static')
document = get_document()
document.add_cssfile('/static/css/app.css')
... |
4832948 | from confidnet.models.model import AbstractModel
from confidnet.models.vgg16 import VGG16
from confidnet.models.vgg16_selfconfid_classic import VGG16SelfConfidClassic
class VGG16SelfConfidCloning(AbstractModel):
def __init__(self, config_args, device):
super().__init__(config_args, device)
self.pr... |
4832974 | from tests.fixtures import Factories
class TestModelWatch:
def test_watch(self, factories: Factories):
guild = factories.guild.create()
user = factories.user.create()
watch = factories.watch.create(
note="note",
user_xid=user.xid,
guild_xid=guild.xid,
... |
4832983 | from copy import deepcopy
from collections.abc import Sequence, Mapping
from .. import contracts
from .. import exc
from ..types import chars
from . import abstract
class List(abstract.Validator):
"""
List Validator
:param Validator item:
validator for list items.
:param bool nullable:
... |
4832992 | from typing import List, Optional
from pydantic import Field, PrivateAttr
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.orm import DeclarativeMeta, declarative_base, relationship
from sqlalchemy_pydantic_orm import ORMBaseSchema
Base: DeclarativeMeta = declarative_base()
class Parent(B... |
4832995 | L=int(input())
B=int(input())
peri=2*(L+B)
Area=L*B
if(Area>peri):
print("Area")
print(Area)
elif(peri>Area):
print("Peri")
print(peri)
else:
print("Eq")
print(Area) |
4833003 | from __future__ import print_function, division
import sys
import os
import shutil
import multiprocessing as mp
from gdynet.preprocess import Preprocess
from gdynet.parsers import prep_parser as parser
from gdynet.utils import split_traj_files, combine_split_files
def preprocess(input_file, output_file, n_nbrs, radi... |
4833021 | import jax
import jax.numpy as np
import jax.random as rand
print(jax.devices())
key = rand.PRNGKey(42)
key, *subkey = rand.split(key, num=3)
a = rand.uniform(subkey[0], shape=(10000, 100000))
b = rand.uniform(subkey[1], shape=(100000, 10000))
c = np.dot(a, b)
print(c.shape)
|
4833067 | import unittest
import torch
from torch.nn import functional as F
from torch.testing._internal.common_utils import TestCase, run_tests
from torch.testing import FileCheck
import io
@unittest.skipUnless(torch.is_vulkan_available(),
"Vulkan backend must be available for these tests.")
class TestVul... |
4833072 | from typing import List, Dict, Optional, Union
DEFAULT_EVENT_PREFIX = "seldon.ceserver."
class ModelResponse(object):
def __init__(self, data: Dict, metrics: Optional[List[Dict]]):
self.data = data
self.metrics = metrics
class CEModel(object):
def __init__(self, name: str):
"""
... |
4833095 | from heapq import heapify, heappop, heappush
heap = []
while True:
line = input()
if line == "#":
break
line = line.split()
# Period, job_id, original period (used for generating futur events)
heap.append((int(line[2]), int(line[1]), int(line[2])))
heapify(heap)
K = int(input())
for i in range(K)... |
4833115 | import functools
import os
import sys
from datetime import timedelta
import dotenv
from loguru import logger
import copy
from novelsave.settings import config, console_formatter
def app() -> dict:
"""Initialize and return the configuration used by the base application"""
return copy.deepcopy(config)
def l... |
4833125 | def can_build(plat):
return plat == 'android'
def configure(env):
if env['platform'] == 'android':
env.android_add_dependency("compile 'com.android.support:appcompat-v7:22.2.0'")
env.android_add_dependency("compile 'com.google.android.gms:play-services-analytics:8.3.0'")
env.android_add... |
4833224 | from itertools import chain
import torch
import torch.nn as nn
__all__ = ['FuncAndDiagJac']
# Code adapted from https://proceedings.neurips.cc/paper/2019/hash/770f8e448d07586afbf77bb59f698587-Abstract.html
class FuncAndDiagJac(torch.autograd.Function):
"""
Given a f: R^d -> R^d, computes both f(x) and the di... |
4833251 | from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
from tdw.py_impact import PyImpact
from tdw.librarian import ModelLibrarian
from typing import List, Dict
from pathlib import Path
import json
from argparse import ArgumentParser
"""
Create a "Rube Goldberg machine" from a set of object... |
4833252 | import re
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.layers import Layer
from tensorflow.python.keras.preprocessing.sequence import pad_sequences
from nltk.corpus import stopwords
from gensim.models import KeyedVectors
import gensim
import pdb
import numpy as np
import itertools
de... |
4833262 | from torch import nn
def conv(in_channels, out_channels, kernel_size=3, padding=1, bn=True, dilation=1, stride=1, relu=True, bias=True):
modules = [nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding, dilation, bias=bias)]
if bn:
modules.append(nn.BatchNorm2d(out_channels))
if relu:
... |
4833287 | import os
import re
import numpy as np
def read_log_file(root_dir, file_name_list):
losses = []
for file_name in file_name_list:
i = 0
with open(os.path.join(root_dir, file_name), 'r') as log_file:
for line in log_file:
match_cost = re.findall('train_cost: [-... |
4833302 | import gin
import tensorflow as tf
mol = gin.i_o.from_smiles.to_mol('CC')
mol = gin.deterministic.hydrogen.add_hydrogen(mol)
x = tf.Variable(tf.random.normal((256, 8, 3), dtype=tf.float32))
opt = tf.keras.optimizers.Adam(10)
for dummy_idx in range(500):
with tf.GradientTape() as tape:
bond_energy, angle... |
4833320 | import hashlib, base64
arrayTypesMapping = [
" ", # VTK_VOID 0
" ", # VTK_BIT 1
"b", # VTK_CHAR 2
"B", # VTK_UNSIGNED_CHAR 3
"h", # VTK_SHORT 4
"H", # VTK_UNSIGNED_SHORT 5
"i", # VTK_INT 6
"I", # VTK_UNSIGNED_INT 7
... |
4833321 | import argparse
import d3rlpy
from d3rlpy.algos import DQN
from d3rlpy.datasets import get_atari
from d3rlpy.metrics.scorer import evaluate_on_environment
from d3rlpy.metrics.scorer import td_error_scorer
from d3rlpy.metrics.scorer import discounted_sum_of_advantage_scorer
from d3rlpy.metrics.scorer import average_val... |
4833395 | import pytest
from zoo.api import utils as uut
from zoo.auditing.models import Issue
@pytest.mark.parametrize(
"is_found, issue_status, result_status",
(
(True, Issue.Status.NOT_FOUND, uut.CheckResultStatus.NEW),
(True, Issue.Status.NEW, uut.CheckResultStatus.KNOWN),
(True, Issue.Stat... |
4833406 | import yaml
import os
from PIL import Image
import torch
import torch.autograd as autograd
from torchvision import transforms
import numpy as np
from processing.colour import RandomBrightnessContrast
with open('local_config.yaml', 'r') as f:
local_config = yaml.load(f)
one_file = [f for f in os.listdir(local_con... |
4833445 | from schedule.models import Calendar, Event, Rule
from openduty.models import Service, SchedulePolicy, SchedulePolicyRule
from .shared import BaseTestCase, random_string
from django.utils import timezone
from datetime import timedelta
from openduty.escalation_helper import get_escalation_for_service
class TestGetEscal... |
4833448 | def poly_lr_scheduler(optimizer, init_lr, iter, lr_decay_iter=1,
max_iter=100, power=0.9):
"""Polynomial decay of learning rate
:param init_lr is base learning rate
:param iter is a current iteration
:param lr_decay_iter how frequently de... |
4833451 | from ..web import Links
from . import WebEntity
__all__ = ['Image']
class Image (WebEntity):
"""
Represents an image.
"""
def __init__ (self, board, tim, ext, filename, md5, fsize, w, h):
self.board = board
self.tim = tim
self.ext = ext
self.filename = filename
... |
4833459 | from office365.entity import Entity
class IdentityUserFlowAttribute(Entity):
"""
Represents user flow attributes in an Azure Active Directory (Azure AD) tenant.
Configuring user flow attributes in your Azure AD tenant allows you to collect information about
a user during sign-up. You can choose to co... |
4833474 | import argparse
import os
import numpy as np
import time
import torch
import torch.nn as nn
import torch.backends.cudnn as cudnn
from torch.utils.data import DataLoader
import torchvision.transforms as transforms
import models
from utils import AverageMeter, load_ckpt, bin_loader
from datasets import BinDataset
model... |
4833486 | import os
import sys
import csv
import itertools
indirectory = '../../../Data/raw/disease_PH'
input_file = 'yearly-Malaria.csv'
outdirectory = '../../../Data/interim/disease_PH'
output_file = 'yearly-Malaria_PH.csv'
confirmed_malaria = []
death_malaria = []
year = []
if not os.path.exists(outdirecto... |
4833497 | import datetime
import json
import logging
import stripe
from braces.views import LoginRequiredMixin
from channels import Channel
from django.conf import settings
from django.contrib import messages
from django.core.urlresolvers import reverse
from django.http import (
HttpResponse,
HttpResponseRedirect,
)
fro... |
4833506 | import sys
import tempfile
from collections import OrderedDict, defaultdict
from operator import itemgetter
from pathlib import Path
from typing import Any, Callable, Dict, List, Union
from rich import box
from rich.console import Console
from rich.markdown import Markdown
from rich.syntax import Syntax
from rich.tabl... |
4833521 | import os
import numpy as np
import pandas as pd
#print("Hello from tb_lite")
# https://github.com/tensorflow/tensorboard/
# blob/master/tensorboard/backend/event_processing/event_file_loader.py
import tensorboard.backend.event_processing.event_file_loader as event_file_loader
def pytorch_summary(model):
si... |
4833532 | from django.contrib import admin
from django.urls import path, include
from django.conf.urls.static import static
from django.conf import settings
urlpatterns = [
path('admin/', admin.site.urls),
# path('users/', include('users.urls')),
path('rest-auth/', include('rest_auth.urls')),
path('rest-auth/reg... |
4833535 | import os
import matplotlib as mpl
import torch
from data_management import Jitter, load_dataset
from networks import IterativeNet, UNet
from operators import TVAnalysis, get_tikhonov_matrix
# --- load configuration -----
import config # isort:skip
# ----- general setup -----
mpl.use("agg")
device = torch.device(... |
4833552 | import torch
from collections import OrderedDict
from smcv_utils import _C
from torch.nn.utils.rnn import pad_sequence
# Anchor generator tests
cell_anchors = OrderedDict()
cell_anchors[0] = torch.tensor([[-22., -10., 25., 13.], [-14., -14., 17., 17.], [-10., -22., 13., 25.]]).to('cuda')
cell_anchors[1] = torch.te... |
4833553 | from django.shortcuts import render, redirect
from .models import UserModel, SessionModel
def login(request):
context = {}
if request.method == 'POST':
# Get the data and try to log
username = request.POST.get('username', '')
password = request.POST.get('password', '')
try:
... |
4833565 | import FWCore.ParameterSet.Config as cms
from RecoParticleFlow.Configuration.pfBlockAnalyzer_cfi import *
|
4833596 | from typing import Optional
import torch
from torch import Tensor
from torch_scatter import scatter_mean
from ..inits import zeros, ones
class GraphNorm(torch.nn.Module):
r"""Applies graph normalization over individual graphs as described in the
`"GraphNorm: A Principled Approach to Accelerating Graph Neura... |
4833610 | from py.test import fixture
size_values = {
'200': 200,
'20M': 20000000,
'1Gb': 1000000000
}
@fixture(params=size_values.items())
def sizes(request, tmpdir):
return request.param
def test_attachment_size_threshold_humanfriendly(sizes, tmpdir):
human_size, byte_size = sizes
from briefkasten.... |
4833671 | import int_value_widget
class UIntValueWidget(int_value_widget.IntValueWidget):
def __init__(self, topic_name, attributes, array_index, publisher, parent):
super(UIntValueWidget, self).__init__(
topic_name, attributes, array_index, publisher, parent)
def setup_ui(self, name):
sup... |
4833691 | from django.db import models
from market.models import Price
from olympia import amo
tiers = {
'0.00': {'CO': {'currency': 'COP', 'price': '0.00', 'region': 9},
'ES': {'currency': 'EUR', 'price': '0.00', 'region': 8},
'PL': {'currency': 'PLN', 'operator': 1, 'price': '0.00',
... |
4833733 | from plugin.models.core import db
from plugin.models.account import Account
from exception_wrappers.libraries.playhouse.apsw_ext import *
class ConfigurationOption(Model):
class Meta:
database = db
db_table = 'configuration.option'
primary_key = CompositeKey('account', 'key')
accoun... |
4833734 | import os
import pytest
from unittest import mock
import tempfile
import subprocess
from shutil import copytree, copyfile
from molotov import __version__
from molotov.slave import main
from molotov.tests.support import TestLoop, dedicatedloop, set_args
_REPO = "https://github.com/loads/molotov"
NO_INTERNET = os.envi... |
4833737 | import concurrent.futures
import pickle
from typing import List
import pandas as pd
import numpy as np
from django.db.models import Model
from apps.settings.main.common import ModelPipeline
from apps.settings.main.common import (
get_qa_metrics_settings,
get_predictions_table_settings,
)
from apps.settings.ma... |
4833750 | import logging
from django.apps import apps
from django.db.models import Count, Q, Case, When
from helium.common.managers.basemanager import BaseQuerySet, BaseManager
__author__ = "<NAME>"
__copyright__ = "Copyright 2019, Helium Edu"
__version__ = "1.4.38"
logger = logging.getLogger(__name__)
class CourseQuerySet... |
4833760 | import argparse
import numpy as np
import cooler
import logging
log = logging.getLogger(__name__)
from multiprocessing import Process, Queue
import time
from hicmatrix import HiCMatrix as hm
from hicexplorer.hicMergeMatrixBins import running_window_merge, merge_bins
from schicexplorer._version import __version__
from... |
4833778 | import numpy as np
from bayesnet.tensor.constant import Constant
from bayesnet.tensor.tensor import Tensor
from bayesnet.function import Function
class Transpose(Function):
def __init__(self, axes=None):
self.axes = axes
def forward(self, x):
x = self._convert2tensor(x)
if self.axes ... |
4833780 | from models import User
query = User.select()
results = query.execute()
return results.tuples() # tuple of rows, each row like: (1L, 'jack', '<EMAIL>')
|
4833782 | import skimage.io # bug. need to import this before tensorflow
import skimage.transform # bug. need to import this before tensorflow
from resnet_train import train, set_parameters, get_device_str
from resnet import *
import tensorflow as tf
import time
import os
import sys
import re
import numpy as np
from synset ... |
4833810 | import os
import sys
here = os.path.abspath(os.path.dirname(__file__))
sys.path.insert(0, os.path.join(here))
sys.path.insert(0, os.path.join(here, "wptserve"))
sys.path.insert(0, os.path.join(here, "third_party", "pywebsocket3"))
sys.path.insert(0, os.path.join(here, "third_party", "atomicwrites"))
sys.path.insert(0... |
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