id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
64919 | from Fusion.settings.common import *
DEBUG = True
SECRET_KEY = '=<KEY>
ALLOWED_HOSTS = []
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'fusionlab',
'HOST': '172.27.16.216',
'USER': 'fusion_admin',
'PASSWORD': '<PASSWORD>',
}
... |
64939 | import torch
from typing import Sequence
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler, TensorDataset)
import utils
from utils import CQAExample, SMExample, NLIExample
from utils import truncate_seq_pair, detok_batch
class T5Input:
def __init__(self, encoder_inputs, encoder_masks, d... |
64943 | from aw_nas.weights_manager.wrapper import BaseHead
from .classifiers import BiFPNClassifier
__all__ = ["BiFPNHead"]
class BiFPNHead(BaseHead):
NAME = "bifpn_head"
def __init__(
self,
device,
num_classes,
feature_channels,
bifpn_out_channels,
activation="swis... |
64954 | from typing import Dict
import numpy as np
def buffer_from_example(example: Dict[str, np.ndarray],
leading_dims) -> Dict[str, np.ndarray]:
buf = {}
for key, value in example.items():
buf[key] = np.zeros(leading_dims + value.shape, dtype=value.dtype)
return buf
def get_l... |
64981 | from copy import deepcopy
from dataclasses import dataclass, asdict
from logging import getLogger, WARNING
import anyconfig
import click
import sys
from pathlib import Path
from typing import List, Tuple
from .command import CwsMultiCommands
from .error import CwsClientError
from ..config import DEFAULT_PROJECT_DIR, ... |
64987 | import gym.wrappers
from nn.mlp import MLP
import pickle
def test_cartpole(nn, file):
global observation
nn.load(file)
for _ in range(500):
env.render()
action = nn.forward(observation)
observation, reward, done, info = env.step(round(action.item()))
if done:
b... |
65014 | import torch
import random
from tqdm import trange
from layers import Subgraph, Discriminator
from utils import GraphDatasetGenerator
import itertools
import json
from tqdm import tqdm
import numpy as np
import os
class Subgraph_Learning(object):
def __init__(self, args):
super(Subgraph_Learning, self)._... |
65015 | import numpy as np
from pyray.shapes.twod.paraboloid import *
from pyray.shapes.twod.functional import *
from pyray.rotation import *
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import matplotlib as mpl... |
65025 | import logging
import plotly.graph_objects as go
from bots import imps, load_candle
from openbb_terminal.common.technical_analysis import volume_model
from openbb_terminal.decorators import log_start_end
# pylint: disable=R0913
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
def adosc_command(
... |
65047 | load("//tools:defaults.bzl", "protractor_web_test_suite")
"""
Macro that can be used to define a e2e test in `modules/benchmarks`. Targets created through
this macro differentiate from a "benchmark_test" as they will run on CI and do not run
with `@angular/benchpress`.
"""
def e2e_test(name, server, **kwargs):
... |
65076 | from typing import Dict, Optional, Text, List
import apache_beam as beam
import tensorflow_model_analysis as tfma
from tensorflow_model_analysis import config
from tensorflow_model_analysis import constants
from tensorflow_model_analysis import model_util
from tensorflow_model_analysis import types
from tensorflow_mod... |
65107 | from data.python_templates.items import item_templates
from data.python_templates.material import material_templates
from items.item import Item
class ItemFactory(object):
"""
At first this will only instantiate templates but eventually it should be able
to pump out variations of a template ex: Adjusted t... |
65130 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .cond_bn import ConditionalBatchNorm1d
# adopted Generator ResBlock from https://arxiv.org/abs/1909.11646
class GBlock(nn.Module):
def __init__(self, in_channels, out_channels, condition_dim):
super().__init__()
self.cond_bn ... |
65142 | import torch
import unittest
import numpy as np
from torch.autograd import Variable
from losses.svm import SmoothTop1SVM, SmoothTopkSVM, MaxTop1SVM, MaxTopkSVM
from losses.functional import Topk_Smooth_SVM
from tests.utils import assert_all_close, V
from tests.py_ref import svm_topk_smooth_py_1, svm_topk_smooth_py_2,\... |
65146 | import os
import sys
import platform
from distutils.version import LooseVersion
def is_active():
return True
def get_name():
return "Android"
def can_build():
return ("ANDROID_NDK_ROOT" in os.environ)
def get_platform(platform):
return int(platform.split("-")[1])
def get_opts():
from SCons... |
65152 | from setuptools import setup, find_packages
from setuptools.command.install import install
import os
import setuptools
import sys
# should match codalab/common.py#CODALAB_VERSION
CODALAB_VERSION = "1.1.4"
class Install(install):
_WARNING_TEMPLATE = (
'\n\n\033[1m\033[93mWarning! CodaLab was installed a... |
65171 | import time
import torch
from torch.utils.data import DataLoader, RandomSampler
from torch.utils.data.distributed import DistributedSampler
from tqdm import tqdm
from datasets.dataset_FTR import *
from src.models.FTR_model import *
from .inpainting_metrics import get_inpainting_metrics
from .utils import Progbar, cre... |
65185 | from optparse import make_option
from django.core.management.base import AppCommand
from django.core.management.sql import sql_custom
from django.db import connections, DEFAULT_DB_ALIAS
class Command(AppCommand):
help = "Prints the custom table modifying SQL statements for the given app name(s)."
option_list... |
65187 | from itertools import zip_longest
from typing import List, Union
from bytepatches.ops import Opcode, sync_ops, LOAD_FAST, STORE_FAST, JumpOp, LOAD_NAME, STORE_NAME
from bytepatches.parser import Parser
from bytepatches.utils import patch_function, make_bytecode
class OpNotFound(Exception):
pass
def change_ops(... |
65257 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.pension import pension
def test_pension():
"""Test module pension.py by downloading
pension.csv and testing shape of
extracted data has 19... |
65287 | from django.conf.urls import include, url
from rest_framework import routers
from api import views
from django.urls import path
route = routers.DefaultRouter()
route.register(r'user', views.UserViewSet)
route.register(r'store', views.StoreViewSet)
route.register(r'itemCategory', views.ItemCategoryViewSet)
route.regis... |
65303 | import sys
log_file_path = sys.argv[1]
with open(log_file_path) as f:
lines = f.readlines()
for line in lines:
# Ignore errors from CPU instruction set, symbol existing testing,
# or compilation error formatting
ignored_keywords = [
'src.c',
'CheckSymbolExists.c',
'test_compil... |
65314 | import asyncio
from couchbase.asynchronous import AsyncSearchResult
from couchbase.asynchronous import AsyncAnalyticsResult
from .fixtures import asynct, AioTestCase
from couchbase.exceptions import CouchbaseException, SearchException, NotSupportedException
from unittest import SkipTest
import couchbase.search as SEAR... |
65331 | from typing import Dict
import torch
from torchtyping import TensorType
from typing import Dict, Optional
from tqdm import tqdm
from typeguard import typechecked
"""
# PCA rationale:
# check for the constraints , if small, do nothing
# if needed, project the result onto the constraints using the proje... |
65356 | from typing import Type
from fpipe.exceptions import FileDataException
from fpipe.file import File
from fpipe.meta.abstract import FileData, T
def meta_prioritized(t: Type[FileData[T]], *sources: File) -> T:
error = FileDataException(t)
for s in sources:
try:
return s[t]
except Fi... |
65451 | import json
import lzma
from glob import glob
from pprint import pprint
import pandas as pd
import smart_open
import typer
from tqdm import tqdm
ORDERED_VAR = ["table", "name", "description", "type"]
TEXTTT_VAR = ["table", "name"]
app = typer.Typer()
@app.command()
def sniff(path: str, tar: bool = True, examples: ... |
65455 | SECRET_KEY = "abc"
FILEUPLOAD_ALLOWED_EXTENSIONS = ["png"]
# FILEUPLOAD_PREFIX = "/cool/upload"
# FILEUPLOAD_LOCALSTORAGE_IMG_FOLDER = "images/boring/"
FILEUPLOAD_RANDOM_FILE_APPENDIX = True
FILEUPLOAD_CONVERT_TO_SNAKE_CASE = True
|
65457 | import random
import numpy as np
import cv2
from utils.transforms.transforms import CustomTransform
class RandomFlip(CustomTransform):
def __init__(self, prob_x=0, prob_y=0):
"""
Arguments:
----------
prob_x: range [0, 1], probability to use horizontal flip, setting to 0 means dis... |
65467 | from head.metrics import *
from head.metrics_parallel import *
HEAD_DICT = {
"Softmax": Softmax,
"ArcFace": ArcFace,
"Combined": Combined,
"CosFace": CosFace,
"SphereFace": SphereFace,
"Am_softmax": Am_softmax,
"CurricularFace": CurricularFace,
"ArcNegFace": ArcNegFace,
"SVX": SVXSo... |
65469 | from text import symbols
class Hparams:
def __init__(self):
################################
# Experiment Parameters #
################################
self.epochs = 500
self.iters_per_checkpoint = 1000
self.iters_per_validation = 1000
self.seed = 123... |
65507 | import spartan
from spartan import core, expr, util, blob_ctx
import numpy as np
from .qr import qr
def svd(A, k=None):
"""
Stochastic SVD.
Parameters
----------
A : spartan matrix
Array to compute the SVD on, of shape (M, N)
k : int, optional
Number of singular values and vectors to compute.... |
65528 | from datetime import datetime, timedelta
from urllib import parse
from ably.http.paginatedresult import PaginatedResult
from ably.types.mixins import EncodeDataMixin
def _ms_since_epoch(dt):
epoch = datetime.utcfromtimestamp(0)
delta = dt - epoch
return int(delta.total_seconds() * 1000)
def _dt_from_ms... |
65534 | from collections import namedtuple
import tensorflow as tf
import numpy as np
from rl.agents.a2c.agent import A2CAgent
TestArgType = namedtuple('ArgType', ['name'])
arg_type = TestArgType('arg')
A = np.array
class A2CAgentTest(tf.test.TestCase):
def test_compute_policy_log_probs(self):
from rl.agents.a2c.a... |
65548 | from oso import Oso
from .auth import register_models
class SQLAlchemyOso(Oso):
"""The central object to manage application policy state, e.g.
the policy data, and verify requests when using Oso with SQLAlchemy.
Supports SQLAlchemy-specific functionality, including data filtering.
Accepts a SQLAlch... |
65551 | import logging
from helium.common.managers.basemanager import BaseManager, BaseQuerySet
__author__ = "<NAME>"
__copyright__ = "Copyright 2019, Helium Edu"
__version__ = "1.4.38"
logger = logging.getLogger(__name__)
class EventQuerySet(BaseQuerySet):
def exists_for_user(self, id, user_id):
return self.f... |
65609 | import pytest
from unittest.mock import patch
import tests.fixtures.journal as FakeJournalExporter
from systemdlogger.elasticsearch import ElasticsearchLogger
@pytest.mark.parametrize(('config_path'), [
'tests/fixtures/config_es.json'
])
class TestRunner:
def setup_method(self, method):
""" setup any... |
65616 | from .base import TrainingCallback, ValueTrainingCallback
class LearningRateScheduler(TrainingCallback):
"""
The learning rate scheduler may be used with a PyTorch learning rate scheduler. The callback is
automatically triggered after the end of every iteration or epoch.
"""
def __init__(self, sch... |
65629 | from __future__ import absolute_import, division, unicode_literals
from genshi.core import QName
from genshi.core import START, END, XML_NAMESPACE, DOCTYPE, TEXT
from genshi.core import START_NS, END_NS, START_CDATA, END_CDATA, PI, COMMENT
from . import base
from ..constants import voidElements, name... |
65631 | from __future__ import absolute_import
from django.conf import settings
from api.mon.backends import zabbix
from api.mon.backends import dummy
__all__ = ('get_monitoring', 'del_monitoring', 'MonitoringBackend', 'MonitoringServer')
BACKEND_ALIASES = {
'dummy': dummy,
'zabbix': zabbix,
}
DEFAULT_BACKEND = 'z... |
65647 | from copy import deepcopy
import six
from lxml import etree
from regparser import plugins
from regparser.tree.xml_parser.preprocessors import replace_html_entities
class XMLWrapper(object):
"""Wrapper around XML which provides a consistent interface shared by both
Notices and Annual editions of XML"""
d... |
65668 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
print 'hello world' |
65673 | import sys
import base_func as base
import twint
from similar_hashtags import similar_hashtags
from top_mentions_hashtags import top_mentions_hashtags as mentions
def basic(username,search):
base.get_user_bio(username,search)
base.get_user_tweets(username,search,True)
def get_keyword(key,limit=100):
base... |
65745 | from flask import Flask, flash, request, redirect, url_for, render_template
from werkzeug.utils import secure_filename
import os
from keras.models import load_model
from keras.applications.inception_resnet_v2 import InceptionResNetV2
import tensorflow as tf
from skimage.io import imsave
from skimage.transform import re... |
65764 | import math
from ffmpeg import probe
def get_bitrate(video_path):
bitrate = probe(video_path)['format']['bit_rate']
return f'{math.trunc(int(bitrate) / 1000)} kbit/s'
def get_framerate_fraction(video_path):
r_frame_rate = [stream for stream in probe(video_path)['streams']
if stream['... |
65828 | import tensorflow as tf
import math
from tensorflow.contrib.rnn import BasicLSTMCell, RNNCell, DropoutWrapper, MultiRNNCell
from rnn import stack_bidirectional_dynamic_rnn, CellInitializer, GRUCell, DropoutGRUCell
import utils, beam_search
def auto_reuse(fun):
"""
Wrapper that automatically handles the `reuse'... |
65838 | import math, time, os, argparse, logging, json
from wand.image import Image
parser = argparse.ArgumentParser(
prog='tile_cutter',
description='Cuts large images into tiles.')
parser.add_argument('--tile-size', metavar='SIZE', type=int, default=512,
help='Tile size (width and height)')
parse... |
65845 | import logging
import os
import numpy as np
import xml.etree.ElementTree as ET
from PIL import Image
from paths import DATASETS_ROOT
log = logging.getLogger()
VOC_CATS = ['__background__', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle',
'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', 'hors... |
65846 | import numpy as np
from skmultiflow.drift_detection import ADWIN
def demo():
""" _test_adwin
In this demo, an ADWIN object evaluates a sequence of numbers corresponding to 2 distributions.
The ADWIN object indicates the indices where change is detected.
The first half of the data is a sequence ... |
65874 | from RnaseqDiffExpressionReport import ProjectTracker
from RnaseqDiffExpressionReport import linkToEnsembl, linkToUCSC
class TopDifferentiallyExpressedGenes(ProjectTracker):
'''output differentially expressed genes.'''
limit = 10
pattern = '(.*)_gene_diff'
sort = ''
def __call__(self, track, sli... |
65892 | from pkgcheck.checks import dropped_keywords
from snakeoil.cli import arghparse
from .. import misc
class TestDroppedKeywords(misc.ReportTestCase):
check_kls = dropped_keywords.DroppedKeywordsCheck
def mk_pkg(self, ver, keywords='', eclasses=(), **kwargs):
return misc.FakePkg(
f"dev-uti... |
65919 | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
from DQM.SiPixelPhase1Common.HistogramManager_cfi import *
import DQM.SiPixelPhase1Common.TriggerEventFlag_cfi as trigger
SiPixelPhase1TrackEfficiencyValid = DefaultHistoTrack.clone(
name = "valid",
title = "Valid H... |
65926 | import json
import sys
import traceback
import yaml
import urllib3
from requests.exceptions import ConnectionError, SSLError
from .client import CLI
from awxkit.utils import to_str
from awxkit.exceptions import Unauthorized, Common
from awxkit.cli.utils import cprint
# you'll only see these warnings if you've expli... |
65933 | import sys
import math
import random
from collections import namedtuple
import time
from pyrf.util import (compute_usable_bins, adjust_usable_fstart_fstop,
trim_to_usable_fstart_fstop, find_saturation)
import numpy as np
from twisted.internet import defer
from pyrf.numpy_util import compute_fft
import struct
MAXI... |
65954 | TEMPLATE = """import numpy as np
import unittest
from {name}.algorithm.research_algorithm import {name_upper}Estimator
class Test{name_upper}Estimator(unittest.TestCase):
def test_predict(self):
multiplier = 2
input_data = np.random.random([1, 2])
expected_result = input_data * multiplie... |
65969 | import socket
from flask import Flask, Response
from PIL import Image, ImageDraw
import threading
from collections import deque
import struct
import io
HOST = '0.0.0.0'
PORT = 54321
image_bytes_length = 640*480*3
bbox_bytes_length = 5*8
# The socket client sends one bounding box and score.
data_bytes_length = image_... |
66009 | import os
import csv
import threading
from .classes import Node, Link, Network, Column, ColumnVec, VDFPeriod, \
AgentType, DemandPeriod, Demand, Assignment, UI
from .colgen import update_links_using_columns
from .consts import SMALL_DIVISOR
__all__ = [
'read_network',
'load_columns',
... |
66013 | from PIL import Image
from tflite_runtime.interpreter import Interpreter
from tflite_runtime.interpreter import load_delegate
from video import create_capture
import numpy as np
import cv2 as cv
import io
import picamera
import simpleaudio as sa
# tf model upload
def load_label... |
66034 | import re
def parseDeviceId(id):
match = re.search('(#|\\\\)vid_([a-f0-9]{4})&pid_([a-f0-9]{4})(&|#|\\\\)', id, re.IGNORECASE)
return [int(match.group(i), 16) if match else None for i in [2, 3]]
|
66043 | import cv2
import numpy as np
# Capture the input frame
def get_frame(cap, scaling_factor=0.5):
ret, frame = cap.read()
# Resize the frame
frame = cv2.resize(frame, None, fx=scaling_factor,
fy=scaling_factor, interpolation=cv2.INTER_AREA)
return frame
if __name__=='__main__'... |
66047 | from . import core, mixin
class Datum(mixin.Parameters, mixin.NetCDFVariable, core.Datum):
"""A datum component of a CF data model coordinate reference.
A datum is a complete or partial definition of the zeroes of the
dimension and auxiliary coordinate constructs which define a
coordinate system.
... |
66116 | from models.rnn_mlp import RNN_MLP
from models.social_attention import SocialAttention
from models.cnn_mlp import CNN_MLP
from models.spatial_attention import SpatialAttention
from models.s2s_spatial_attention import S2sSpatialAtt
from models.s2s_social_attention import S2sSocialAtt
import time
import json
import... |
66137 | import unittest
import numpy as np
from sklearn import exceptions
# from sklearn.datasets import load_boston as load
from skcosmo.datasets import load_csd_1000r as load
from skcosmo.feature_selection import CUR
class TestCUR(unittest.TestCase):
def setUp(self):
self.X, _ = load(return_X_y=True)
def... |
66204 | def deny(blacklist):
"""
Decorates a handler to filter out a blacklist of commands.
The decorated handler will not be called if message.command is in the
blacklist:
@deny(['A', 'B'])
def handle_everything_except_a_and_b(client, message):
pass
Single-item blacklists may... |
66225 | import os
from shutil import copytree, copy2
from glob import glob
import torchvision
import torch
from tensorboardX import SummaryWriter
from sklearn import metrics
def copy_source_code(path):
if not os.path.isdir(path):
os.makedirs(path)
denylist = ["./__pycache__/"]
folders = glo... |
66242 | from collections import (
defaultdict,
)
from contextlib import (
asynccontextmanager,
)
from datetime import (
datetime,
)
from typing import (
Iterable,
)
import psutil
from core.db_entities import (
DBTable,
DstDatabase,
)
from core.enums import (
TransferringStagesEnum,
)
from core.help... |
66255 | from a10sdk.common.A10BaseClass import A10BaseClass
class DiskUsage(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param disk_usage: {"type": "string", "format": "string"}
:param time: {"type": "number", "format": "number"}
:param DeviceProxy: The device proxy ... |
66259 | import hashlib
import typing
from pg_sql import SqlId, SqlNumber, SqlObject, SqlString, sql_list
from .formats.join import JoinTable
from .join_common import Structure, context_column, foreign_column, local_column
from .join_key import KeyResolver
from .sql import SqlQuery, SqlTableExpr, table_fields, update_excluded... |
66266 | from django.db import models
from django.forms import ModelForm
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
from django.core.validators import FileExtensionValidator
from .xmltools import analyze_file, include_sync_button
import uuid
def default_color():
return '#076AA... |
66287 | from idc import *
from idaapi import *
import idautils
YARA_OPERAND_SIZE = 8
YARA_RELOCATION_NULL_MAGIC = 0xfffaBADA
YARA_RELOCATION_END_MAGIC = 0xffffFFFF
UNDEFINED_MAGIC = 0xFFFABADAFABADAFF
def read_qw(self, insn, eaoffset):
qw = get_qword(insn.ea+eaoffset)
eaoffset += 8
return SIGNEXT(qw... |
66306 | HERO = {'B': 'Batman', 'J': 'Joker', 'R': 'Robin'}
OUTPUT = '{}: {}'.format
class BatmanQuotes(object):
@staticmethod
def get_quote(quotes, hero):
for i, a in enumerate(hero):
if i == 0:
hero = HERO[a]
elif a.isdigit():
quotes = quotes[int(a)]
... |
66322 | import unittest
import numpy as np
from .softlearning_env_test import AdapterTestClass
from softlearning.environments.adapters.robosuite_adapter import (
RobosuiteAdapter)
class TestRobosuiteAdapter(unittest.TestCase, AdapterTestClass):
# TODO(hartikainen): This is a terrible way of testing the envs.
# ... |
66395 | import sys
import os
# check SBMolGen_PATH setting
if os.getenv('SBMolGen_PATH') == None:
print("THe SBMolGen_PATH has not defined, please set it before use it!")
exit(0)
else:
SBMolGen_PATH=os.getenv('SBMolGen_PATH')
sys.path.append(SBMolGen_PATH+'/utils')
from subprocess import Popen, PIPE
from math i... |
66401 | import sys
import numpy as np
from matplotlib import pyplot
from matplotlib.animation import FuncAnimation
import matplotlib as mpl
sys.path.append('..')
from submission import SubmissionBase
def displayData(X, example_width=None, figsize=(10, 10)):
"""
Displays 2D data in a nice grid.
Parameters
--... |
66460 | C = "C"
CPP = "Cpp"
CSHARP = "CSharp"
GO = "Go"
JAVA = "Java"
JAVASCRIPT = "JavaScript"
OBJC = "ObjC"
PYTHON = "Python" # synonym for PYTHON3
PYTHON2 = "Python2"
PYTHON3 = "Python3"
RUST = "Rust"
SWIFT = "Swift"
def supported():
"""Returns the supported languages.
Returns:
the list of supported languag... |
66469 | from fjord.base.plugin_utils import load_providers
from fjord.redirector import _REDIRECTORS
class RedirectorTestMixin(object):
"""Mixin that loads Redirectors specified with ``redirectors`` attribute"""
redirectors = []
def setUp(self):
_REDIRECTORS[:] = load_providers(self.redirectors)
... |
66481 | import ui, console
import os
import math
def save_action(sender):
with open('image_file.png', 'wb') as fp:
fp.write(img.to_png())
console.hud_alert('image saved in the file image_file.png')
def showimage_action(sender):
img.show()
def create_image():
img = None
with ui.ImageContext(5... |
66566 | import os
import time
from getpass import getpass
from netmiko import ConnectHandler
def read_device(net_connect, sleep=1):
"""Sleep and read channel."""
time.sleep(sleep)
output = net_connect.read_channel()
print(output)
return output
if __name__ == "__main__":
# Code so automated tests wi... |
66568 | import logging
import requests
from tenacity import before_log, retry, stop_after_attempt
class MarketDataClient(object):
logger = logging.getLogger(__name__)
base_url = 'http://market-data:8000'
def _make_request(self, url):
response = requests.get(
f"{self.base_url}/{url}", header... |
66572 | from os import listdir
from os import path
import io
import json
save_apsnypress = io.open('../hunalign_batch_apsnypress.txt','w+', encoding="utf-8")
with open('../data_out.json', 'r') as f:
data_j = json.load(f)
for item in data_j:
if len(item["possible match"]) != 0:
for possible_item in item["possib... |
66576 | from unittest import SkipTest
from holoviews.core import NdOverlay
from holoviews.core.util import pd
from holoviews.element import Segments
from .test_plot import TestBokehPlot, bokeh_renderer
try:
from bokeh.models import FactorRange
except:
pass
class TestSegmentPlot(TestBokehPlot):
def test_segmen... |
66584 | from dataclasses import dataclass
@dataclass
class Division:
id: int = None
name: str = None
link: str = None
|
66591 | from django.core.management.base import BaseCommand, CommandError
from django.urls import reverse
from django.core.mail import send_mail
from django.template.loader import get_template, render_to_string
from django.conf import settings
from django.contrib.sites.models import Site
from accounts.models import Account, E... |
66612 | import json
import os
import time
import numpy as np
from metalearn import Metafeatures
from tests.config import CORRECTNESS_SEED, METAFEATURES_DIR, METADATA_PATH
from .dataset import read_dataset
def get_dataset_metafeatures_path(dataset_filename):
dataset_name = dataset_filename.rsplit(".", 1)[0]
return o... |
66656 | import rlp
from rlp.sedes import CountableList, text # big_endian_int
from kademlia.utils import digest
from utils import get_sender
import json
import logging
from exceptions import InvalidTransaction
import Globals
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger(__name__)
tx_fields = ('sender_pk',... |
66705 | import asyncio
import sys
import unittest
import nest_asyncio
def exception_handler(loop, context):
print('Exception:', context)
class NestTest(unittest.TestCase):
def setUp(self):
self.loop = asyncio.new_event_loop()
nest_asyncio.apply(self.loop)
asyncio.set_event_loop(self.loop)
... |
66721 | import json
import functools
from django.conf import settings
from django.test import Client, TestCase
__all__ = ['JsonTestClient', 'JsonTestMixin', 'JsonTestCase']
class JsonTestClient(Client):
def _json_request(self, method, url, data=None, *args, **kwargs):
method_func = getattr(super(JsonTestClient,... |
66729 | import py
from rpython.rlib.signature import signature, finishsigs, FieldSpec, ClassSpec
from rpython.rlib import types
from rpython.annotator import model
from rpython.rtyper.llannotation import SomePtr
from rpython.annotator.signature import SignatureError
from rpython.translator.translator import TranslationContext,... |
66732 | import copy
from functools import wraps, reduce
import socket
import os
from operator import mul
import sys
from statistics import mean
import time
import numpy as np
from rdkit.Chem import AllChem, RWMol
from rdkit import Chem
from rdkit.Chem.rdChemReactions import ChemicalReaction
from kgcn.data_util import dense_t... |
66779 | import torch
import torchvision
import torchvision.transforms as transforms
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
class conv2d_circular(nn.Conv2d):
def __init__(self, in_channels, out_channels, kernel_size, stride=1,
padding=0, dilation=1, groups=1, bias=True, n... |
66823 | import io
from os.path import dirname, abspath, join
from nanohttp import settings, configure
from restfulpy.messaging.providers import SMTPProvider
from restfulpy.mockup import mockup_smtp_server
HERE = abspath(dirname(__file__))
def test_smtp_provider():
configure(force=True)
settings.merge(f'''
... |
66836 | import re
import smtplib
import dns.resolver
# Address used for SMTP MAIL FROM command
fromAddress = '<EMAIL>'
# Simple Regex for syntax checking
regex = '^[_a-z0-9-]+(\.[_a-z0-9-]+)*@[a-z0-9-]+(\.[a-z0-9-]+)*(\.[a-z]{2,})$'
# Email address to verify
inputAddress = input('Please enter the emailAddress to verify:')... |
66849 | import re
from cybox.objects.address_object import Address
from cybox.objects.uri_object import URI
from .text import StixTextTransform
class StixBroIntelTransform(StixTextTransform):
"""Generate observable details for the Bro Intelligence Framework.
This class can be used to generate a list of indicators ... |
66977 | class Solution:
# @param {integer} x
# @return {integer}
def reverse(self, x):
neg = False
if x<0:
neg =True
x = -x
print x
reversed_int = int(''.join(reversed(str(x))))
if reversed_int>(1<<31):
reversed_int = 0
if neg:
... |
66983 | import cgen as c
from sympy import Symbol
from devito.cgen_utils import ccode
from devito.ir.iet import (Expression, Iteration, List, UnboundedIndex, ntags,
FindAdjacentIterations, FindNodes, IsPerfectIteration,
NestedTransformer, Transformer, compose_nodes,
... |
66985 | from .monitor_bad_pixel_bokeh import BadPixelMonitor
from .monitor_bias_bokeh import BiasMonitor
from .monitor_dark_bokeh import DarkMonitor
from .monitor_filesystem_bokeh import MonitorFilesystem
from .monitor_mast_bokeh import MastMonitor
from .monitor_readnoise_bokeh import ReadnoiseMonitor
|
66995 | import pytest
from configargparse import Namespace
from pydpiper.core.arguments import CompoundParser, AnnotatedParser, application_parser, parse #, lsq6_parser, lsq12_parser
from pydpiper.pipelines.MBM import mbm_parser
# TODO should these test files be named test_*?
# should these be fixtures or not?
@pytest.fixt... |
67045 | import json
import warnings
from enum import Enum
from typing import Any, List, Tuple, Union
import numpy as np
import torch
from mmhuman3d.core.cameras.cameras import PerspectiveCameras
from mmhuman3d.core.conventions.cameras.convert_convention import (
convert_camera_matrix,
convert_K_3x3_to_4x4,
conver... |
67056 | from .data import (
TxtTokLmdb,
DetectFeatLmdb,
ImageLmdbGroup,
ConcatDatasetWithLens,
)
from .loader import PrefetchLoader, MetaLoader
from .vqa import (
VqaEvalDataset,
vqa_collate,
vqa_eval_collate,
UNITER_VqaDataset,
)
from .ve import (
VeEvalDataset,
ve_collate,
ve_eval_... |
67067 | from pwn import *
# Create item
print('1')
FUNC = 0x701e40
#FUNC = 0x41414141 + 0x18
vtable_ptr = FUNC-0x18
print(p64(vtable_ptr) * 8) # name - pointer to fake vtable
print('bob') # description
print('1.23') # price
# Add item to basket
print('4')
print('1') # second item, added above
print('28823037615171174... |
67086 | from .detector3d_template import Detector3DTemplate
class PartA2Net(Detector3DTemplate):
def __init__(self, model_cfg, num_class, dataset):
super().__init__(model_cfg=model_cfg, num_class=num_class, dataset=dataset)
self.module_list = self.build_networks()
def forward(self, batch_dict):
... |
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