id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
9977775 | from foundations import *
f = Foundation()
#proc_ready: queue of processes that are ready
proc_ready = Queue()
#proc_waiting: queue of processes that are waiting to be executed
proc_waiting = Queue()
#q: denotes the ticks per process
q = 0
#i: counter to keep track of the current tick
i = 0
results = []
#fcfs(procs: ... |
9977798 | import os
import subprocess
def parse_tag(tag):
image_type = None
version = None
if "-" not in tag:
version = tag
else:
image_type, version = tag.split("-")
return image_type, version
def tag_to_version(tag):
image_type, version = parse_tag(tag)
return version
def ensur... |
9977799 | import re
from datetime import datetime
from urllib.parse import urljoin
import scrapy
from city_scrapers_core.constants import NOT_CLASSIFIED
from city_scrapers_core.items import Meeting
from city_scrapers_core.spiders import CityScrapersSpider
class AlleAssetDistrictSpider(CityScrapersSpider):
name = "alle_ass... |
9977809 | import pytest
from aiohttp import BasicAuth
from aiohttp_socks import SocksConnector, SocksVer
from aiograph import Telegraph, types
from aiograph.utils import exceptions
def test_prepare_content():
telegraph = Telegraph()
with pytest.raises(exceptions.ContentRequired):
telegraph._prepare_content(Non... |
9977814 | import torch
import numpy as np
from torch.autograd import Variable
import torch.nn.functional as F
import torch.nn as nn
import copy
import math
import os
class speaker_model(nn.Module):
def __init__(self, num_inputs, mulspk_type, speakers=None, cuda=False):
super(speaker_model, self).__init__()
... |
9977884 | from datetime import date, datetime
from decimal import Decimal
from logging import getLogger
from typing import Dict, Tuple, Union
from xml.etree import ElementTree
from .constants import URL_BASE
from .currencies import Currency, CURRENCIES
from ..exceptions import ExchangeRateNotFound, WrongArguments
from .basic im... |
9977896 | import functools
import numpy as np
import queueing_tool as qt
# Make an adjacency list
adja_list = {0: {1: {}}, 1: {k: {} for k in range(2, 22)}}
# Make an object that has the same dimensions as your adjacency list that
# specifies the type of queue along each edge.
edge_list = {0: {1: 1}, 1: {k: 2 for k in range(... |
9977930 | import time
from .data_structures import *
from .qallse import Qallse, Config1GeV
from .qallse_base import QallseBase
class MpConfig(Config1GeV):
#: To be kept, a quadruplet needs to be part of at least one chain of
#: min_qplet_path or more (including itself). Hence, setting this parameter
#: to one has... |
9977946 | class AnalyzerConf:
"""Base configuration class (driver specific) used by the rule engine.
:return: [description]
:rtype: [type]
"""
# driver specific threshold for caption (used by rule engine)
CAPTION_CONFIDENCE_THRESHOLD = 0.20
# driver specific threshold for OCR (used by rule engine)
... |
9977958 | import click
import os.path
import odooku
import odooku_addons
from odooku.params import params
from odooku.helpers.split import split
ADDONS_PATH = os.path.abspath('addons')
def resolve_comma_seperated(ctx, param, value):
return split(value, ',')
def resolve_addons(ctx, param, value):
paths = [
... |
9978004 | import os
from ctypes import *
# Load the multikey search library
d = os.path.dirname(os.path.realpath(__file__))
par = os.path.join(d, os.pardir)
lib = CDLL(os.path.join(par, "obj", "libcryptmk.so"))
# Have to change directories to read the params dir that's hard-coded
# in ec/ec.cc, not sure how to fix this.
os.chdi... |
9978010 | import tensorflow as tf
from external.BB2SegNet.refinement_net.network.Layer import Layer
from external.BB2SegNet.refinement_net.network.Util import prepare_input, get_activation, apply_dropout, conv2d, conv2d_dilated, bootstrapped_ce_loss, \
class_balanced_ce_loss
from external.BB2SegNet.refinement_net.datasets imp... |
9978032 | import balanced
balanced.configure('<KEY>')
account = balanced.Account.fetch('/accounts/<KEY>')
account.settlements |
9978051 | import pytest
from exploits.hashes.collisions import java7_hashmap
from test.exploits.dummy_output import DummyOutput
def test_java7_hashmap_run():
output = DummyOutput()
n_collisions = 10
hash_table_size = 1024
target_hash = 848473
java7_hashmap.options['n_collisions'] = n_collisions
java7_ha... |
9978092 | from typing import List, Any
import numpy as np
from PIL import Image
from collections import OrderedDict
import joblib
import os
import grpc
import tensorflow as tf
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_service_pb2_grpc
from src.app.configurations import _Mod... |
9978104 | import numpy as np
import pytest
from psyneulink.core import llvm as pnlvm
x = np.random.rand()
y = np.random.rand()
@pytest.mark.benchmark(group="Builtins")
@pytest.mark.parametrize("op, args, builtin, result", [
(np.exp, (x,), "__pnl_builtin_exp", np.exp(x)),
(np.... |
9978120 | import os, sys, platform
output = 'luarpc'
cdefs = "-DLUA_CROSS_COMPILER -DLUA_RPC"
# Lua source files and include path
lua_files = """lapi.c lcode.c ldebug.c ldo.c ldump.c lfunc.c lgc.c llex.c lmem.c lobject.c lopcodes.c
lparser.c lstate.c lstring.c ltable.c ltm.c lundump.c lvm.c lzio.c lauxlib.c lbaselib.c
ld... |
9978129 | import argparse
import torch.nn as nn
import torch.nn.functional as F
from torchvision.utils import save_image
import pdb
import wandb
import mir
from data import *
from utils import get_logger, get_temp_logger, logging_per_task, onehot, distillation_KL_loss, \
naive_cross_entropy_loss, get_grad_... |
9978150 | from __future__ import print_function
import json
import boto3
print('Loading function')
ARCH_TO_AMI_NAME_PATTERN = {
# Architecture: (pattern, owner)
"PV64": ("amzn-ami-pv*.x86_64-ebs", "amazon"),
"HVM64": ("amzn-ami-hvm*.x86_64-gp2", "amazon"),
"HVMG2": ("amzn-ami-graphics-hvm-*x86_64-ebs*", "67959... |
9978170 | import argparse
import os
import sys
from reggol.colored_formatter import ColoredFormatter
from reggol.logger import CustomConsoleAndFileLogger
import logging
_level = None
_default_logpath: str = None
def set_default_loglevel(loglevel: str) -> None:
"""
Set the default loglevel. Should be one of the loglev... |
9978178 | from contextlib import contextmanager
from node.blockchain.facade import BlockchainFacade
from node.blockchain.models import Schedule
from node.blockchain.types import NodeRole
from node.core.utils.cryptography import get_node_identifier
def make_node_as_role(node_identifier, node_role):
next_block_number = Bloc... |
9978181 | import frappe
import json
from facility_management.utils.functools import concat_not_empty
from functools import reduce
@frappe.whitelist()
def get(filters):
filters = json.loads(filters)
labels = _get_labels()
datasets = _get_datasets(filters)
return {
'labels': labels,
'datasets': da... |
9978182 | import unittest
import numpy as np
import chainer
from chainer.backends import cuda
from chainer import testing
from chainer.testing import attr
from chainercv.links.model.faster_rcnn import ProposalCreator
from chainercv.utils import generate_random_bbox
@testing.parameterize(
{'train': True},
{'train': F... |
9978290 | from typing import Union
import numba
import numpy
from gensim.models.basemodel import BaseTopicModel
from spec2vec.Document import Document
def calc_vector(model: BaseTopicModel, document: Document,
intensity_weighting_power: Union[float, int] = 0,
allowed_missing_percentage: Union[fl... |
9978298 | from __future__ import print_function
import math
from collections import Counter
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.nn import Parameter
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
from collections import defaultdict
from .... |
9978328 | import os
import torch
import imageio
import numpy as np
from tqdm import tqdm
from config import parse_args
from models import make_mlp_model
from losses import img_mse, img_psnr
from datasets import SingleImage
from torch.utils.tensorboard import SummaryWriter
def downsample(input, factor=1):
if factor... |
9978351 | from base.torchnlp_dataset import TorchnlpDataset
from torchnlp.datasets.dataset import Dataset
from torchnlp.encoders.text import SpacyEncoder
from torchnlp.utils import datasets_iterator
from torchnlp.encoders.text.default_reserved_tokens import DEFAULT_SOS_TOKEN
from torch.utils.data import Subset
from nltk.corpus i... |
9978379 | def df_add_scorecol(data,
metric,
win_threshold=.66,
lose_threshold=.33,
win_points=2,
lose_points=-2,
tie_points=0,
score_col_name='score'):
'''Adds an arbitrary score based ... |
9978436 | from abc import ABC
from typing import Dict
from torch.utils.data import Dataset as TorchDataset
class Dataset(ABC):
def __init__(self, data_type: str):
assert data_type in ["RGB", "features"]
self.data_type = data_type
def class_count(self) -> int:
raise NotImplementedError()
d... |
9978474 | from typing import List
import torch
from torch import Tensor
from pfhedge._utils.bisect import find_implied_volatility
from pfhedge._utils.doc import _set_attr_and_docstring
from pfhedge._utils.doc import _set_docstring
from pfhedge._utils.str import _format_float
from pfhedge.nn.functional import d1 as compute_d1
f... |
9978492 | class BaseFsAccessor(object):
"""
Base class for accessing file systems. For example local and cloud(S3) ones.
Provides the common interface to access different file systems.
"""
def remove_folder_recursively(self, path):
raise NotImplementedError
def remove_file(self, path):
r... |
9978500 | import numpy as np
from microsim.opencl.ramp.params import Params
from microsim.opencl.ramp.simulator import Simulator
from microsim.opencl.ramp.snapshot import Snapshot
from microsim.opencl.ramp.disease_statuses import DiseaseStatus
sentinel_value = (1 << 31) - 1
fixed_factor = 8388608.0
nplaces = 8
npeopl... |
9978503 | import yaml
import logging
from tqdm import tqdm
def read_yaml(file_path):
f = open(file_path, 'r', encoding='utf-8')
cont = f.read()
return yaml.load(cont)
|
9978522 | import _init_paths
from fast_rcnn.config import cfg, cfg_from_file, cfg_from_list
from datasets.factory import get_imdb
import caffe
import argparse
import pprint
import time, os, sys
import numpy as np
import h5py
import cv2
from fast_rcnn.config import cfg, get_output_dir
from fast_rcnn.bbox_transform import clip_bo... |
9978534 | def get_callback(progress):
from keras.callbacks import Callback
import numpy as np
import logging
import time
logger = logging.getLogger(name=__name__)
class PiperProgressReporter(Callback):
def __init__(self, progress):
super(PiperProgressReporter, self).__init__()
... |
9978547 | import json
from http import HTTPStatus
import pytest
from app import app
class TestDispatchRequestGeneral:
def test_404(self, apigw_event) -> None:
apigw_event['requestContext']['resourcePath'] = '/NOT_IMPLEMENTED_PATH'
response = app.dispatch_request(apigw_event, {})
assert response['s... |
9978551 | from types import GeneratorType
import pytest
import deezer
pytestmark = pytest.mark.vcr
class TestResource:
def test_resource_relation(self, client):
"""Test passing parent object when using get_relation."""
album = client.get_album(302127)
tracks = album.get_tracks()
assert tr... |
9978584 | import numpy as np
from numpy import linalg as la
import logging
from typing import Callable, List, Tuple, Dict
def random_sample(bounds: np.ndarray, k: int) -> np.ndarray:
"""
Generate a set of k n-dimensional points sampled uniformly at random
:param bounds: n x 2 dimenional array containing upper/lower ... |
9978593 | import functools
import pytest
from gerrychain import MarkovChain, Partition, proposals
from gerrychain.accept import always_accept
from gerrychain.constraints import (no_vanishing_districts,
single_flip_contiguous)
from gerrychain.grid import Grid
from gerrychain.updaters import c... |
9978629 | import threading
from pysnmp.entity.rfc3413.oneliner import cmdgen
from icssploit import (
exploits,
wordlists,
print_status,
print_error,
LockedIterator,
print_success,
print_table,
boolify,
multi,
validators
)
class Exploit(exploits.Exploit):
"""
Module performs brut... |
9978653 | import sys
import subprocess
import optparse
from process_whole_archive_option import ProcessWholeArchiveOption
def get_leaks_suppressions(cmd):
supp, newcmd = [], []
for arg in cmd:
if arg.endswith(".supp"):
supp.append(arg)
else:
newcmd.append(arg)
return supp, n... |
9978656 | try:
import rate_NR
import rate_genNR
import rate_UV
import dmdd_efficiencies as eff
except ImportError:
pass
import os,os.path,shutil
import pickle
import logging
import time
on_rtd = False
try:
import numpy.random as random
import numpy as np
from scipy.stats import poisson
... |
9978688 | import argparse
import pandas
import seaborn as sns
import matplotlib.pyplot as plt
from rlutil.logging import log_processor
import scripts.plot_utils as plot_utils
def filter_fn(params):
if params['target_mode'] == 'q*':
return False
if params['weight_states_only'] == False:
return False
... |
9978723 | from setuptools import setup
setup(name='redbull',
version='0.81',
packages=['redbull'],
python_requires=">=3.6",
zip_safe=False)
|
9978746 | def test():
assert (
"list(doc.ents) + [span]" in __solution__
), "Você adicionou a partição a doc.ents?"
assert (
"span_root_head = span.root.head" in __solution__
), "Você está selecionando o 'head' do token raiz da partição?"
assert (
"print(span_root_head.text" in __solut... |
9978782 | import psycopg2
from galvanalyser.database import Row
class RangeLabelRow(Row):
def __init__(
self,
dataset_id,
label_name,
lower_bound,
upper_bound,
info=None,
id_=None,
):
self.id = id_
self.dataset_id = dataset_id
self.label_na... |
9978787 | from typing import Optional
import tensorflow as tf
from transformers import (
AutoConfig,
PretrainedConfig,
TFAutoModelForPreTraining,
TFAutoModelForQuestionAnswering,
TFPreTrainedModel,
)
from common.arguments import ModelArguments
from common.utils import create_config
def create_model(model_... |
9978790 | from matplotlib.colors import to_rgb
"""Module with objects and methods to choose and define the color code to represent pharmacophoric
features when a pharmacophore is shown.
This module contains predefined color palettes to represent pharmacophoric features, as well as a
method to extract color codes from these pale... |
9978810 | from fusionauth.fusionauth_client import FusionAuthClient
# You must supply your API key and URL here
client = FusionAuthClient('api-key', 'http://localhost:9011')
user_request = {
'sendSetPasswordEmail': False,
'skipVerification': True,
'user': {
'email': '<EMAIL>',
'password': 'passwor... |
9978814 | from .flatwrapper import FlatWrapper
class CallFlatWrapper(FlatWrapper):
def flatten_children(self):
self.flattened_children.extend(self.original_node.args)
self.flattened_children.append(self.extract_receiver_node())
def transform_node(self):
twin = self.original_node.twin
ne... |
9978827 | from ..common.alignment_type import AlignmentType
from ..common.from_to import FromTo
from ..gfa1.to_gfa2 import ToGFA2 as GFA1_ToGFA2
from ..gfa1.references import References as GFA1_References
from ..gfa1.oriented_segments import OrientedSegments
from ..gfa1.alignment_type import AlignmentType as GFA1_AlignmentType
f... |
9978830 | import pytest
import unyt as u
from unyt.testing import assert_allclose_units
import gmso
from gmso.core.box import Box
from gmso.formats.lammpsdata import read_lammpsdata, write_lammpsdata
from gmso.tests.base_test import BaseTest
from gmso.tests.utils import get_path
class TestLammpsWriter(BaseTest):
@pytest.m... |
9978877 | import os
from django.test import TestCase
from django.test import Client
from django.contrib.auth import get_user_model
from django.urls import reverse
BASE_DIR = os.path.abspath(
os.path.join(
os.path.dirname(__file__),
".."
)
)
src_file_path = os.path.join(
BASE_DIR, "data", "berlin.pdf... |
9978880 | import json
import pytest
from django.utils.encoding import force_text
try:
from wagtail.core.fields import StreamField
except ImportError:
from wagtail.wagtailcore.fields import StreamField
from wagtail_svgmap.blocks import ImageMapBlock
from wagtail_svgmap.models import ImageMap
stream_field = StreamField... |
9978902 | from src.platform.weblogic.interfaces import WINTERFACES
from requests.utils import dict_from_cookiejar
from sys import stdout
from log import LOG
import utility
import state
default_credentials = [('weblogic', 'weblogic'),
('weblogic', 'weblogic1')
]
def _auth(usr, pswd,... |
9978918 | import pandas.util.testing as tm
class BaseExtensionTests(object):
assert_series_equal = staticmethod(tm.assert_series_equal)
assert_frame_equal = staticmethod(tm.assert_frame_equal)
assert_extension_array_equal = staticmethod(
tm.assert_extension_array_equal
)
|
9978947 | from bs4 import BeautifulSoup
import time
import asyncio
import aiohttp
from helper.asyncioPoliciesFix import decorator_asyncio_fix
import re
from helper.html_scraper import Scraper
class Zooqle:
def __init__(self):
self.BASE_URL = 'https://zooqle.com'
self.LIMIT = None
def _parser(self, htm... |
9979003 | from django import forms
from django.contrib.auth.forms import ReadOnlyPasswordHashField
from .models import User
class UserCreationForm(forms.ModelForm):
password1 = forms.CharField(label="Password", widget=forms.PasswordInput)
password2 = forms.CharField(
label="Password confirmation", widget=forms... |
9979018 | import numpy as np
import torch
from .quant_layer import QuantModule, lp_loss
from .quant_model import QuantModel
from .quant_block import BaseQuantBlock
from .adaptive_rounding import AdaRoundQuantizer
from .set_weight_quantize_params import get_init, weight_get_quant_state
from .set_act_quantize_params import set_act... |
9979033 | from __future__ import with_statement
from PyObjCTools.TestSupport import *
from Quartz import *
import Quartz
import os
import sys
try:
long
except NameError:
long = int
if sys.version_info[0] != 2:
def buffer(value):
if isinstance(value, bytes):
return value
return value.enc... |
9979038 | import click
from esque.cli.autocomplete import list_consumergroups, list_contexts, list_topics
from esque.cli.helpers import ensure_approval
from esque.cli.options import State, default_options
from esque.cli.output import blue_bold, green_bold
from esque.cluster import Cluster
from esque.config import ESQUE_GROUP_ID... |
9979096 | from __future__ import division, absolute_import
import numpy as np
import numpy.linalg as la
class ShapeDescriptor(object):
"""Class that calculates rotation-invariant shape descriptors based on the
radius of gyration tensor.
"""
def __init__(self, coor):
coor = np.asmatrix(coor)
# ... |
9979133 | from django.urls import path, include
from rest_framework.authtoken.views import obtain_auth_token
from .views import *
app_name = "airport_app"
urlpatterns = [
path('auth/', include('djoser.urls')),
path('auth/token/', obtain_auth_token, name='token'),
path('flights/', FlightsView.as_view()),
path('flights/<in... |
9979142 | from setuptools import find_packages, setup
setup(
name='qpth',
version='0.0.15',
description="A fast and differentiable QP solver for PyTorch.",
author='<NAME>',
author_email='<EMAIL>',
platforms=['any'],
license="Apache 2.0",
url='https://github.com/locuslab/qpth',
packages=find_p... |
9979171 | from pytest import mark
from scanapi.tree import EndpointNode
@mark.describe("endpoint node")
@mark.describe("headers")
class TestHeaders:
@mark.context("when parent spec has no headers attribute defined")
@mark.it("should set headers attribute the same as the node's one")
def test_when_parent_has_no_hea... |
9979195 | import numpy as np
import torch
from matplotlib import pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error
torch.manual_seed(7)
# Load the dataset
D_numpy = np.load("D.npy")[:, 0, :] # We only have one SOAP... |
9979203 | from collections.abc import Iterable
from datetime import datetime
import six
from ...exceptions import ImproperlyConfigured
arrow = None
try:
import arrow
except ImportError:
pass
class ArrowDateTime(object):
def __init__(self):
if not arrow:
raise ImproperlyConfigured(
... |
9979225 | import cv2
import os
import pickle
from os.path import join, exists
import tohand as th
import argparse
from tqdm import tqdm
hc = []
def convert(gesture_folder, target_folder):
rP = os.getcwd()
mData = os.path.abspath(target_folder)
if not exists(mData):
os.makedirs(mData)
gesture_folder =... |
9979245 | import sys
import os
sys.path.append(os.pardir)
import pytest
from pytz import timezone
from types import GeneratorType
try:
from minette.tagger.mecabtagger import MeCabTagger, MeCabNode
except Exception:
# Skip if import dependencies not found
pytestmark = pytest.mark.skip
def test_init():
tagger = ... |
9979259 | from toolz import partition_all
def compute_date_range_chunks(sessions, start_date, end_date, chunksize):
"""Compute the start and end dates to run a pipeline for.
Parameters
----------
sessions : DatetimeIndex
The available dates.
start_date : pd.Timestamp
The first date in the p... |
9979268 | import caffe
import argparse
import os
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--network', type=str, required=True,help="The network prototxt")
parser.add_argument('--caffemodel', type=str, required=True, help="The caffemodel of the network")
args = parser.par... |
9979274 | import os
import json
import gzip
import random
import itertools
import argparse
import transcripts
def dump(by_group, splits, subset_name, gz = True):
for split_name, transcript in by_group.items():
input_path = os.path.join(splits, f'{subset_name}_{split_name}.json') + ('.gz' if gz else '')
with (gzip.open(in... |
9979289 | import pandas as pd
from reamber.bms import BMSHit
from tests.test.bms.test_fixture import bms_map
def test_type(bms_map):
assert isinstance(bms_map.hits[0], BMSHit)
def test_from_series():
hit = BMSHit.from_series(pd.Series(dict(offset=1000, column=1, sample=b'0')))
assert BMSHit(1000, 1, b'0') == hit
... |
9979293 | from parsimonious import nodes
from soap.semantics import cast, ErrorSemantics
_lift_child = nodes.NodeVisitor.lift_child
_lift_first = lambda self, node, children: children[0]
_lift_second = lambda self, node, children: children[1]
_lift_children = lambda self, node, children: children
_lift_text = lambda self, nod... |
9979306 | import pytest
from typing import Tuple
import flair.datasets
from flair.data import Dictionary, Corpus
from flair.embeddings import WordEmbeddings, DocumentRNNEmbeddings
from flair.models.text_regression_model import TextRegressor
# from flair.trainers.trainer_regression import RegressorTrainer
from flair.trainers imp... |
9979319 | import os
import yaml
from warnings import warn
from copy import deepcopy
class Parameters:
"""
Global parameters module
Parameters are used in many procedures, and are often defined only in the parameters.yml file ONLY
Parameters are organized in the following groups:
* assignment
* distrib... |
9979321 | from dataflow.nerd.load_blender import load_blender_data
from dataflow.nerd.load_nerf_blender import load_blender_data as load_nerf_blender_data
from dataflow.nerd.load_real_world import load_llff_data
from dataflow.nerd.dataflow import add_args, create_dataflow
|
9979330 | from abc import ABC, abstractmethod
import numpy as np
from PIL import ImageOps
import logging
log = logging.getLogger(__name__)
class AbstractPoseModel(ABC):
"""
Abstract class for pose estimation models.
"""
def __init__(self, tfengine):
"""Initialize posenet-base class... |
9979336 | import os
import json
import datetime
import numpy as np
import glob
import framework.configbase
def gen_common_pathcfg(path_cfg_file, is_train=False):
path_cfg = framework.configbase.PathCfg()
path_cfg.load(json.load(open(path_cfg_file)))
output_dir = path_cfg.output_dir
path_cfg.log_dir = os.path.join(ou... |
9979352 | import Distance as di
import numpy as np
from scipy.spatial.distance import pdist
if __name__ == "__main__":
dis=di.Distance()
a=np.array([1.5 for i in range(128)])
b=np.array([2 for i in range(128)])
s=np.array([0.27 for i in range(128)])
print("使用本库的计算结果: ")
print("欧氏距离 = ", dis... |
9979357 | from px_cookie import PxCookie
def verify(ctx, config):
"""
main verification function, verifying the content of the perimeterx original token risk if exists
:param pxContext ctx: perimeterx request context object
:param PxConfig config: global configurations
:return bool: Returns True if verifica... |
9979405 | from collections import namedtuple
import torch
from common.trainer import to_cuda
@torch.no_grad()
def do_validation(net, val_loader, metrics, label_index_in_batch):
net.eval()
metrics.reset()
for nbatch, batch in enumerate(val_loader):
batch = to_cuda(batch)
outputs, _ = net(*batch)
... |
9979406 | import argparse
parser = argparse.ArgumentParser(description="""Generate tcrdist database files for the tcrdist_cpp code.
Only necessary to re-run if the supported organisms change or new genes are added to the tcrdist database
in <path_to_conga>/conga/tcrdist/db/combo_xcr.tsv""")
#type is str by default
parser.add_a... |
9979455 | def validate_split_durations(train_dur, val_dur, test_dur, dataset_dur):
"""helper function to validate durations specified for splits,
so other functions can do the actual splitting.
First the functions checks for invalid conditions:
+ If train_dur, val_dur, and test_dur are all None, a ValueError... |
9979474 | from lona.html import (
TextInput,
TextArea,
Button,
Table,
Span,
HTML,
Div,
Ul,
Tr,
Td,
Li,
H1,
P,
A,
)
from lona import LonaView, LonaApp
app = LonaApp(__file__)
@app.route('/')
class ChooseRoom(LonaView):
def handle_request(self, request):
# find... |
9979503 | from django.core.management import BaseCommand, CommandError
from events.models import Keyword, Place
from events.utils import recache_n_events_in_locations, recache_n_events
class Command(BaseCommand):
help = "Update keyword and place event numbers"
def add_arguments(self, parser):
parser.add_argum... |
9979507 | import torch.nn as nn
from network.common.layers import Conv2D_BN
class ResidualBlock(nn.Module):
def __init__(self, in_channels, activation, out_channels, kernel_size, stride, padding = 'same', groups = 1, dilation=1, bias = True):
super().__init__()
self.conv2d_bn_1 = Conv2D_BN(in_channels, activ... |
9979525 | import torch.nn as nn
from models.spectral import SpectralNorm as SpectralNormalization
from misc.blocks import ResidualBlock
from misc.utils import PRINT
from torch.nn import init
def get_SN(bool):
if bool:
return SpectralNormalization
else:
return lambda x: x
def print_debug(feed, layers, ... |
9979530 | import django.dispatch
page_preedit = django.dispatch.Signal(providing_args=["page"])
page_saved = django.dispatch.Signal(providing_args=["raw", "author", "message"])
page_moved = django.dispatch.Signal(providing_args=["page", "old_path", "author", "message"])
|
9979533 | from collections import defaultdict
import sys
from SPARQLWrapper import SPARQLWrapper, JSON
from csv import reader
import pandas as pd
import sqlite3
class TripleReader:
def __init__(self, triples_file):
self.baseuripred = "http://www.wikidata.org/prop/direct/"
self.baseuriobj = "http://www.wiki... |
9979569 | from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from openrecipes.items import RecipeItem, RecipeItemLoader
class SteamykitchenMixin(object):
"""
Using this as a mixin lets us reuse the parse_it... |
9979576 | import gym
import time
import unittest
import ray
from ray.rllib.evaluation.rollout_worker import RolloutWorker
from ray.rllib.evaluation.tests.test_rollout_worker import MockPolicy
class TestPerf(unittest.TestCase):
@classmethod
def setUpClass(cls):
ray.init(num_cpus=5)
@classmethod
def tea... |
9979617 | import os
from requests.exceptions import RequestException
import pytest
from unittest.mock import create_autospec, Mock
from pyquil.api import WavefunctionSimulator, ForestConnection, QVMConnection, get_benchmarker
from pyquil.api._errors import UnknownApiError
from pyquil.paulis import sX
from pyquil import Program... |
9979619 | src = Split('''
ota_transport.c
''')
component = aos_component('fota_mqtt_transport', src)
include_tmp = Split('''
..
../..
../../../mqtt/sdk-impl
../../../mqtt/platform
''')
for i in include_tmp:
component.add_global_includes(i)
|
9979639 | import numpy as np
def dict_bgr2rgb(colordict):
rgb = dict()
keys = colordict.keys()
for k in keys:
rgb[k] = colordict[k][::-1]
return rgb
def dict2array(colordict):
keys = colordict.keys()
colorarray = np.zeros((len(keys), 3))
for ids, k in enumerate(keys):
colorarray[i... |
9979694 | import cv2
face_cascade=cv2.CascadeClassifier("faces.xml")
ds_factor=0.6
class VideoCamera(object):
def __init__(self):
#capturing video
self.video = cv2.VideoCapture(0)
def __del__(self):
#releasing camera
self.video.release()
def get_frame(self):
#ex... |
9979754 | from .. import util
importlib = util.import_importlib('importlib')
machinery = util.import_importlib('importlib.machinery')
import errno
import os
import sys
import tempfile
from types import ModuleType
import unittest
import warnings
import zipimport
class FinderTests:
"""Tests for PathFinder."""
def tes... |
9979759 | import click
from virl.api import VIRLServer
from virl.cli.views import flavor_list_table
@click.command()
@click.option('--flavor', default=None)
def ls(**kwargs):
"""
list all flavors or the details of a specific flavor
"""
flavor = kwargs.get('flavor')
server = VIRLServer(port=80)
# Regar... |
9979799 | from django.contrib.admin.models import CHANGE
from django.utils.translation import ugettext as _
from .modelform import ModelFormMixin
from .object import ObjectMixin
class ObjectFormMixin(ObjectMixin, ModelFormMixin):
"""Custom form view mixin on an object."""
log_action_flag = CHANGE
def get_form_val... |
9979824 | import itertools
from decimal import Decimal as D
from django.core.cache import cache
from django.core.exceptions import ImproperlyConfigured
from django.template.loader import render_to_string
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
from pecomsdk import pecom
from ... |
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