id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
4861542 | import array
import user_context
def test():
output = bytearray("\0\0\0\0", "ascii")
user_context.user_context(None, ord('q'), output)
assert output == bytearray("qqqq", "ascii")
if __name__ == "__main__":
test()
|
4861569 | from .packet import Packet
from minecraft.networking.types import String, TrailingByteArray
class AbstractPluginMessagePacket(Packet):
"""NOTE: Plugin channels were significantly changed, including changing the
names of channels, between Minecraft 1.12 and 1.13 - see <http://wiki.vg
/index.php?title... |
4861595 | import datetime as dt
import enum
from sqlalchemy.ext.hybrid import hybrid_method
from sqlalchemy.orm import backref
from sqlalchemy_utils import ChoiceType
from server.api.database import db
from server.api.database.mixins import (
Column,
Model,
SurrogatePK,
reference_col,
relationship,
)
clas... |
4861621 | import numpy
import unittest
import warnings
import theano
from theano import tensor
from .linear import dot_shape
from .linear import dot_shape_from_shape
from .linear import dot
def assert_compute_equal(outputs, inputs=[]):
outputs = [tensor.as_tensor_variable(o) for o in outputs]
f = theano.function(input... |
4861654 | import torch
from ..function import qsigned, qunsigned
from collections import OrderedDict
def cosine_similarity(net, qnet, wba=[8, 16, 8], show=False):
ret = []
n_param, q_param = OrderedDict(net.named_parameters()), OrderedDict(
qnet.named_parameters())
for name in n_param.keys():
if nam... |
4861656 | from .base import MongoCollector
from .coll_stats import CollStatsCollector
from .custom_queries import CustomQueriesCollector
from .db_stat import DbStatCollector
from .fsynclock import FsyncLockCollector
from .index_stats import IndexStatsCollector
from .replica import ReplicaCollector
from .replication_info import R... |
4861666 | import time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from utils.logging import AverageMeter, ProgressMeter
from utils.eval import accuracy
# TODO: support sm_loader when len(sm_loader.dataset) < len(train_loader.dataset)
def train(
model, device, train_loader, sm_load... |
4861673 | import os
import shutil
from glob import glob
percent = ['0.8', '0.64', '0.512', '0.4096', '0.32768', '0.262144', '0.2097152', '0.1677722'
,'0.1342177','0.1073742']
Alist = sorted(glob(os.path.join(percent[0], 'horse2zebra', 'A', '*.png')))
Blist = sorted(glob(os.path.join(percent[0], 'horse2zebra', 'B', '*.png')))
An... |
4861677 | description = 'Main Treff setup'
group = 'basic'
includes = [
'counter',
# 'filter',
# 'mc2',
# 'polarizer',
'sampletable',
'shutter',
'slits',
'guidehall',
'nl5',
'reactor',
]
|
4861714 | from ray.util.lightning_accelerators.horovod_ray_accelerator import \
HorovodRayAccelerator
__all__ = ["HorovodRayAccelerator"]
|
4861800 | from threading import Thread, Lock, Event
from zlib import compress, decompress
import time
import zmq
from google import protobuf
from .engine_commons import getUUID, getOpenPort, baseToPubSubPort
from .message_pb2 import SocketMessage
#################
### CONSTANTS ###
#################
from .constants import DELI... |
4861815 | from torch.utils.data import sampler
from torch.utils.data import Dataset
class ChunkSampler(sampler.Sampler):
"""Samples elements sequentially from some offset.
Arguments:
num_samples: # of desired datapoints
start: offset where we should start selecting from
"""
def __init__(self, n... |
4861891 | import numpy as np
from numpy.testing import assert_array_equal
import pytest
from numcodecs.delta import Delta
from numcodecs.tests.common import (check_encode_decode, check_config, check_repr,
check_backwards_compatibility)
# mix of dtypes: integer, float
# mix of shapes: 1D, 2... |
4861904 | from . import builtin
from ..backends.make import writer as make
from ..backends.ninja import writer as ninja
from ..build_inputs import Edge
from ..file_types import Phony
class Alias(Edge):
def __init__(self, context, name, deps=None):
super().__init__(context.build, Phony(name), extra_deps=deps)
@bui... |
4861940 | import importlib
ENTRY_POINT = 'conda_env.installers'
class InvalidInstaller(Exception):
def __init__(self, name):
msg = 'Unable to load installer for {}'.format(name)
super(InvalidInstaller, self).__init__(msg)
def get_installer(name):
try:
return importlib.import_module(ENTRY_POINT... |
4861957 | from collections import namedtuple
import numpy as np
import talib
from jesse.indicators.ma import ma
from jesse.helpers import get_candle_source, slice_candles
MAB = namedtuple('MAB', ['upperband', 'middleband', 'lowerband'])
def mab(candles: np.ndarray, fast_period: int = 10, slow_period: int = 50, devup: float... |
4861974 | from .build import Command as BuildCommand
from ._base import CommandOption
class Command(BuildCommand):
help = 'Install and build the whole application, and prepare the database for an initial start.'
options = BuildCommand.options + (
CommandOption('-u', '--update', action='store_true', dest='updat... |
4862021 | import soundfile as sf
import sounddevice as sd
from scipy.io.wavfile import write
def record_voice():
"""This function records your voice and saves the output as .wav file."""
fs = 44100 # Sample rate
seconds = 3 # Duration of recording
# sd.default.device = "Built-in Audio" # Speakers full name h... |
4862025 | class adv_config(object):
# Adversarial Training Hyper-Parameters
total_batch = 1000 # Total batches for adversarial training
gen_update_time = 1000
dis_update_time = 2
dis_epoch_per_update = 1
gen_train_dir = './gen_train_adv' # Directory to save G's parameters
disc_train_dir = './di... |
4862037 | import os
import sys
import torch
cur_path = os.path.abspath(os.path.dirname(__file__))
root_path = os.path.split(cur_path)[0]
sys.path.append(root_path)
from torchvision import transforms
from PIL import Image
from segmentron.utils.visualize import get_color_pallete
from segmentron.models.model_zoo import get_segmen... |
4862043 | from typing import List
class Solution:
def pacificAtlantic(self, matrix: List[List[int]]) -> List[List[int]]:
if not matrix or not matrix[0]:
return []
m, n = len(matrix), len(matrix[0])
p_visited = [[False] * n for x in range(m)] # Pacific
a_visited = [[False... |
4862052 | import os
from tree_sitter import Language
from code_search import shared
from code_search.function_parser.utils import get_tree_sitter_languages_lib
languages = [
os.path.join(shared.VENDOR_DIR, 'tree-sitter-python'),
os.path.join(shared.VENDOR_DIR, 'tree-sitter-javascript'),
os.path.join(shared.VENDOR_... |
4862072 | import sys
import random
f = open('random.config', 'w')
f.write('height 50\n')
f.write('width 50\n')
numRobots = 'numRobots ' + str(sys.argv[1]) + '\n'
f.write(numRobots)
numRobots = int(sys.argv[1])
f.write('R 500\n')
f.write('baseX 0\n')
f.write('baseY 0\n')
f.write('initLocs\n')
initLocs = []
for i in... |
4862074 | import torch
from torch import nn
from rcnn.modeling.fast_rcnn import heads
from rcnn.modeling.fast_rcnn import outputs
from rcnn.modeling.fast_rcnn.inference import box_post_processor
from rcnn.modeling.fast_rcnn.loss import box_loss_evaluator
from rcnn.modeling import registry
from rcnn.core.config import cfg
clas... |
4862147 | import pytest
from amocrm.v2.model import _get_container_by_path
@pytest.mark.parametrize(
("path", "data", "expect"),
[
(["name"], {"name": "test"}, {"name": "test"}),
(["name"], {"name": "test", "value": "no"}, {"name": "test"}),
(["name", "value"], {"name": {"value": "test"}}, {"na... |
4862171 | from __future__ import print_function
from keras import backend as K
from keras.layers import Conv2D, Concatenate, Dense, Flatten, BatchNormalization, Activation, AveragePooling2D
from keras.models import Model, Input, Sequential
from keras.utils import plot_model
def _convbnrelu(x, nb_filters, stride, kernel_size, ... |
4862250 | import os
import gc
import json
import numpy as np
import gzip
from gensim.models import TfidfModel, LsiModel
from gensim.corpora import Dictionary
from nlpia.data.loaders import BIGDATA_PATH, read_csv
KEEP_N = 300000 # max vocab size
NO_BELOW = 5 # min DF (count)
NO_ABOVE = .7 # max DF (fraction)
def l... |
4862264 | import torch
import lmdb
import random
import os
import glob
import numpy as np
from PIL import Image
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms
def prase_segmentation(img):
'''
Convert 3-channel rgb to 6-channel senmantic mask
Six classes: moving obstacles, traff... |
4862314 | import torch
import torch.utils.data as data_utils
import torchvision
import numpy as np
import ipdb
import os
# ======================================================================================================================
def load_dynamic_mnist(args, **kwargs):
# set args
if args.down_sample:
... |
4862338 | import os
from githammer import DatabaseNotInitializedError
from .hammer_test import HammerTest
class HammerInitTest(HammerTest):
def test_plain_init_does_not_create_database(self):
self.assertFalse(os.listdir(self.working_directory.name))
def test_update_fails_when_database_not_created(self):
... |
4862379 | from math import log, ceil
print("""What do you want to calculate?
type "n" for number of monthly payments,
type "a" for annuity monthly payment amount,
type "p" for loan principal:""")
type_ = input("> ")
if type_ == "n":
p = int(input("Enter the loan principal:\n"))
a = float(input("Enter the monthly paymen... |
4862390 | from typing import Dict, Optional, List, Any
import logging
from overrides import overrides
import torch
from torch.nn.modules.linear import Linear
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules import Seq2SeqEncoder, TimeDistributed, TextFieldEmbedder
from allennlp... |
4862435 | import argparse
import os
import numpy as np
from tqdm import tqdm
from utils import model, utils
from utils.utils import print_arguments
parser = argparse.ArgumentParser()
parser.add_argument('--list_path', default='dataset/test_list.txt', type=str, help='用于测试的数据列表')
parser.add_argument('--model_path', default... |
4862450 | import asyncio
import logging
import pathlib
import jinja2
import aiohttp_jinja2
from aiohttp import web
from app import configuration
from app.routes import setup_routes
from app.helpers.global_helpers import setup_global_helpers
from app.handlers.security.errors import errors_middleware
from app.handlers.cookies impo... |
4862594 | import numpy as np
import pytest
from persia.embedding.data import (
_ND_ARRAY_SUPPORT_TYPE,
NdarrayDataBase,
IDTypeFeature,
IDTypeFeatureWithSingleID,
PersiaBatch,
)
from persia.prelude import check_pyarray_dtype_valid
def test_ndarray_base_dtype_convert_to_tensor():
for dtype in _ND_ARRAY_... |
4862595 | import json
from com.huawei.iotplatform.client.invokeapi.Authentication import Authentication
from com.huawei.iotplatform.client.invokeapi.SubscriptionManagement import \
SubscriptionManagement
from com.huawei.iotplatform.client.dto.AuthOutDTO import AuthOutDTO
from com.huawei.iotplatform.client.dto.DeleteBatchSu... |
4862607 | from __future__ import absolute_import
input_name = '../examples/linear_elasticity/elastic_contact_sphere.py'
output_name = 'test_elastic_contact_sphere.vtk'
from tests_basic import TestInput
class Test(TestInput):
pass
|
4862619 | from pathlib import Path
import json
from tdw.librarian import ModelLibrarian, ModelRecord
from tdw.asset_bundle_creator import AssetBundleCreator
from typing import Union, List, Optional
from argparse import ArgumentParser
import csv
from tqdm import tqdm
class _ShapeNet:
def __init__(self, src: Union... |
4862683 | from modelci.metrics.cadvisor.cadvisor import CAdvisor
# Tests
if __name__ == "__main__":
# Init the CAdvisor client, you can set the API information here.
cAdvisor = CAdvisor()
# base_link=None, version=None, query_object=None
cAdvisor_version12 = CAdvisor(version='v1.2') # default is v1.3
raw_a... |
4862704 | from ..ir_utils import HDLVisitor, Scope, add_to_list, res_true, ir, IrExprRewriter, IrExprVisitor, IrVisitor
from . import hls_debug
class VariableFinder(IrExprVisitor):
def __init__(self):
self.variables = set()
def visit_Name(self, node):
self.variables.add(node.name)
class InferRegister... |
4862735 | import functools
import multiprocessing
from django.conf import settings
from tenant_schemas.migration_executors.base import MigrationExecutor, run_migrations
class ParallelExecutor(MigrationExecutor):
codename = 'parallel'
def run_tenant_migrations(self, tenants):
if tenants:
processes... |
4862802 | import os
import shutil
import tempfile
import unittest
from ...views.upload.data import TextData
from ...views.upload.dataset import FastTextDataset
from ...views.upload.label import CategoryLabel
class TestFastTextDataset(unittest.TestCase):
def setUp(self):
self.test_dir = tempfile.mkdtemp()
... |
4862828 | from apscheduler.schedulers.blocking import BlockingScheduler
from apscheduler.schedulers.background import BackgroundScheduler
import logging
import psycopg2
from UnoCPI import sqlfiles,settings
import os
import Update_Partner, Update_Project
#sched = BlockingScheduler()
#sched1 = BackgroundScheduler()
# Initializin... |
4862875 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
import torch.utils.model_zoo as model_zoo
class ResNetEncoder(models.ResNet):
"""Constructs a resnet model with varying number of input images.
Adapted from https://github.com/pytorch/vision/blob/master/torch... |
4862881 | import turtle
tina= turtle.Turtle()
tina.pencolor("#339999")
tina.fillcolor("#339999")
tina.begin_fill()
for i in range(0, 4, 1):
tina.forward(180)
tina.circle ((-20),90)
tina.end_fill()
tina.penup()
tina.goto(0,-160)
tina.pendown()
tina.pencolor("#ffffff")
tina.write("m",False,align="left",font=("Ravie",120,"... |
4862884 | def max_nested_braces(expr):
max_count = count = 0
for char in expr:
if char == '{':
count += 1
if count > max_count:
max_count = count
elif char == '}':
if count == 0:
return -1
count -= 1
if count != 0:
... |
4862890 | from tensorflow.keras.models import load_model
import numpy as np
class CartpoleRLRemoteAgent(object):
def __init__(self):
# The model under GCS bucket is the best one based on it highest score.
# Get public info at: https://www.googleapis.com/storage/v1/b/cartpole-rl-models/o/cartpole-rl-remote.... |
4862893 | import sys
import csv
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
from bs4 import BeautifulSoup
from random impo... |
4862945 | from torch import nn
from .mish import Mish
from .swish import Swish
def make_act(act='ReLU', **kwargs):
inplace = kwargs.pop("inplace", True)
if len(act) == 0:
return None
act = {
"ReLU": nn.ReLU(inplace=inplace),
"ReLU6": nn.ReLU6(inplace=inplace),
"PReLU": nn.PReLU(),
... |
4862946 | import json
import logging
import math
from copy import deepcopy
import numpy as np
from qcelemental.models import AtomicInput, AtomicResult, Molecule
from qcelemental.util.serialization import json_dumps
from . import history
from .exceptions import OptError
class ComputeWrapper:
"""An implementation of MolSSI... |
4862955 | from pynput.keyboard import Key, Controller
class WindowsBuiltInScreenRecorder:
def __init__(self):
self.recording = False
self.keyboard: Controller = Controller()
def __sendRecordStopCombination(self):
self.keyboard.press(Key.cmd)
self.keyboard.press(Key.alt)
self.keyb... |
4863024 | import urllib3
pool = urllib3.PoolManager()
resp = pool.request("method", "url") # $ clientRequestUrlPart="url"
resp = pool.request("method", url="url") # $ clientRequestUrlPart="url"
resp = pool.urlopen("method", "url") # $ clientRequestUrlPart="url"
resp = pool.urlopen("method", url="url") # $ clientRequestUrlPart=... |
4863031 | import mock
import pytest
from decimal import Decimal
from waffle.models import Flag
from website.settings import DOMAIN
from api.base.middleware import SloanOverrideWaffleMiddleware
from osf_tests.factories import (
AuthUserFactory,
PreprintFactory,
PreprintProviderFactory
)
from osf.features import (
... |
4863032 | import numpy as np
from unittest import TestCase
from diffprivlib.mechanisms import Staircase
from diffprivlib.utils import global_seed
class TestStaircase(TestCase):
def setup_method(self, method):
if method.__name__ .endswith("prob"):
global_seed(314159)
self.mech = Staircase
... |
4863038 | from uai.arch_conf.tf_conf import TFJsonConfLoader
class RetrainJsonConfLoader(TFJsonConfLoader):
def __init__(self, conf):
super(RetrainJsonConfLoader, self).__init__(conf)
def _load(self):
super(RetrainJsonConfLoader, self)._load()
self.input_width = eval(self.server_conf['tensorflo... |
4863073 | from unittest import TestCase
from modules.base import errors
class TestFunctions(TestCase):
def test_get_error_message_from_code__static_message(self):
self.assertEqual('Your account has been disabled by an administrator.',
errors.get_error_message_from_code('account_disabled'))
def t... |
4863095 | from utils import Env
def test_revrange():
start_ts = 1511885908
samples_count = 200
expected_results = []
with Env().getClusterConnectionIfNeeded() as r:
r.execute_command('TS.CREATE', 'tester1', 'uncompressed')
for i in range(samples_count):
r.execute_command('TS.ADD', '... |
4863106 | import pytest
from secedgar.parser import F4Parser, MetaParser
class TestParser:
parser = MetaParser()
def test_process_document_metadata(self):
doc = """<TYPE>10-K
<SEQUENCE>123
<FILENAME>test-filename.txt
"""
metadata = self.parser.process_document_metadata(doc)
... |
4863107 | import logging
import os
import urllib
import pathlib
from io import BytesIO
from django.core.files.base import ContentFile
import cv2
from os import path
import numpy as np
from urllib import parse
import urllib.request
import certifi
from PIL import Image
from django.core.files.storage import get_storage_class
fro... |
4863125 | def main():
stuff = [1, 5, "hello", 5, 12, 19, 12.5, [1, 2, 3]]
write_contents(stuff)
items = ["", 0, 1.1]
for x in items:
if isinstance(x, str):
print("See? It's not used here so we don't have a type assertion")
elif isinstance(x, int):
print("This is very import... |
4863168 | import re
from sympy.parsing.sympy_parser import (parse_expr,
standard_transformations,
convert_equals_signs)
def simplify(condition, keys):
keys.update({
"true": True,
"false": False
})
patterns = {key: (r"(?<... |
4863177 | from __future__ import annotations
import os
import uuid
from abc import ABC
from collections.abc import Mapping
from dataclasses import dataclass
from typing import Any
import yaml
from meerkat.tools.lazy_loader import LazyLoader
import dcbench.constants as constants
from dcbench.config import config
from .artifac... |
4863201 | import os
import csv
#for headless display in python
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
#Load modules
os.system("module load cmake/3.7.2 gcc/4.9.4")
os.chdir("benchmark/cuda/stencil")
os.system("rm *.dat")
os.system("cmake -DHPX_ROOT=~/packagaes/hpx-4.9/ -DHPXCL_WITH_CUDA=ON -D... |
4863207 | import os
import netifaces
import psutil
import subprocess
import sys
import re
import config_parser
from args_parser import parse_args
from os.path import expanduser
from tempfile import mktemp
# 7-bit C1 ANSI sequences
ansi_escape = re.compile(r'''
\x1B # ESC
[@-_] # 7-bit C1 Fe
[0-?]* # Parameter... |
4863208 | from hc.accounts.models import Credential
from hc.test import BaseTestCase
class RemoveCredentialTestCase(BaseTestCase):
def setUp(self):
super().setUp()
self.profile.totp = "0" * 32
self.profile.save()
self.url = "/accounts/two_factor/totp/remove/"
def test_it_requires_sudo... |
4863223 | import collections
from types import SimpleNamespace
def dict_to_simple_namespace(orig_dict, skip={}):
def _dict_to_simple_namespace(d, path=""):
res = {}
for k, v in d.items():
cur_path = path + "." + k
if skip.get(cur_path):
res[k] = v
elif is... |
4863233 | import pytest
from qcodes.instrument.parameter import ArrayParameter
from .conftest import blank_instruments, named_instrument
class SimpleArrayParam(ArrayParameter):
def __init__(self, return_val, *args, **kwargs):
self._return_val = return_val
self._get_count = 0
super().__init__(*args,... |
4863266 | import numpy as np
from ._masker import Masker
from .._serializable import Serializer, Deserializer
class FixedComposite(Masker):
""" A masker that outputs both the masked data and the original data as a pair.
"""
def __init__(self, masker):
""" Creates a Composite masker from an underlying maske... |
4863275 | import datetime
import time
import functools
from direct.distributed.DistributedObjectGlobalUD import DistributedObjectGlobalUD
from direct.directnotify.DirectNotifyGlobal import directNotify
class StatusDatabaseUD(DistributedObjectGlobalUD):
notify = directNotify.newCategory('StatusDatabaseUD')
def __init__(... |
4863279 | import time
import torch
import torchdata
import torchfunc
from .datasets import ExampleDataset, ExampleIterable
from .utils import artificial_slowdown, enumerate_step, index_is_sample
def test_basic_iterable():
dataset = ExampleIterable(0, 100).map(lambda value: value + 12)
for index, item in enumerate(da... |
4863313 | from operator import itemgetter
import matplotlib.pyplot as plt
from sklearn.utils import validation
def plot2d(model, x, y, figure, title=""):
"""
Projects the input data to two dimensions and plots it. The projection is
done using the relevances of the given glvq model.
Parameters
----------
... |
4863318 | from typing import Any, Dict, List, Tuple, Union
from peewee import Case
import auth
from api.socket.constants import GAME_NS
from api.socket.groups import remove_group_if_empty
from api.socket.shape.data_models import *
from app import app, sio
from models import (
AssetRect,
Aura,
Circle,
CircularTo... |
4863363 | import upywraptest
print(upywraptest.Int(0))
print(upywraptest.Int(True))
print(upywraptest.Int(False))
print(upywraptest.Int(2147483647))
print(upywraptest.Int(-2147483647))
print(upywraptest.Unsigned(0))
print(upywraptest.Unsigned(True))
print(upywraptest.Unsigned(False))
print(upywraptest.Unsigned(4294967295))
prin... |
4863380 | import PIL, os
import sys
from PIL import ImageDraw
from PIL import ImageFont
from papirus import Papirus
BLACK = 0
WHITE = 1
font1 = ImageFont.truetype(os.path.expanduser('~/LightningATM/resources/fonts/FreeMono.ttf'), 18)
font = ImageFont.truetype(os.path.expanduser('~/LightningATM/resources/fonts/Sawasdee-Bold.t... |
4863399 | from text_vectorian import SentencePieceVectorian
import unittest
from logging import getLogger
import tensorflow as tf
logger = getLogger(__name__)
logger.setLevel('INFO')
class SentencePieceVectorianTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.vectorian = SentencePieceVectorian()
... |
4863406 | a = range(255)
n = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, ... |
4863418 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
# Revolve imports
from .util import ColorMixin
from .. import constants
from ....build.sdf import BodyPart
from ....build.sdf import VelocityMotor
from ....build.sdf import ComponentJoint as Joint
... |
4863447 | import numpy as np
import preprocessing_functions as pf
import config
import warnings
warnings.simplefilter(action='ignore')
# ================================================
# TRAINING STEP - IMPORTANT TO PERPETUATE THE MODEL
# Load data
data = pf.load_data(config.PATH_TO_DATASET)
# divide data set
X_train, X_te... |
4863484 | from pytest import raises, yield_fixture as fixture
from docopt_dispatch import Dispatch, DispatchError
class OptionMarker(Exception):
pass
class ArgumentMarker(Exception):
pass
doc = 'usage: prog [--option] [<argument>]'
@fixture
def dispatch():
dispatch = Dispatch()
@dispatch.on('--option')
... |
4863503 | from flask import Flask, render_template, request
from tenseflow.database import db_session
from tenseflow.models import Answer
from tenseflow import change_tense
app = Flask(__name__)
@app.teardown_appcontext
def shutdown_session(exception=None):
db_session.remove()
@app.route('/', methods=['GET', 'POST'])
... |
4863530 | import os
import sys
import logging
import inspect
import fossor
from fossor.engine import Fossor
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
log = logging.getLogger(__name__)
def test_no_popen_usage():
f = Fossor()
for plugin in f.list_plugins():
for line in inspect.getsourcelines(p... |
4863538 | from django.conf import settings
from django.test import TestCase
from django.contrib.auth.models import User, SiteProfileNotAvailable
class ProfileTestCase(TestCase):
fixtures = ['authtestdata.json']
def setUp(self):
"""Backs up the AUTH_PROFILE_MODULE"""
self.old_AUTH_PROFILE_MODULE = getattr... |
4863562 | import logging
from dataclasses import dataclass
from enum import IntEnum, Enum
# from .catalog_structure import Catalogs, PublicDataServer
# from .fitting_structure import BayesianDefault, MLEDefault
# from .plotting_structure import GenericPlotting, ModelPlotting
# from .plugin_structure import Plugins, TimeSeries
... |
4863565 | from tap_bigquery.sync_bigquery import _build_query as build_query
def test_column_construction():
keys = {
"table": "test.test.table",
"columns": ["col0", "col1", "col2"],
"datetime_key": "col0"
}
query = build_query(keys)
expected = (
"SELECT col0,col1,col2 FROM test.... |
4863589 | from __future__ import absolute_import, division, print_function
from io import open
import json
from coreference_resolution import find_coreference_f1s
def filter_with_coreference(partial_example, background, gold_answers, QA_history, history_len=2, match_metric='em', add_background=False, skip_entity=True):
"""... |
4863595 | from dataclasses import dataclass
@dataclass(frozen=True)
class AIResponse:
"""Represents an AI response returned from `get_ai_response` method.
Attribues
---------
message : str
The main message.
response : str
An alias for message.
response_time : str
The re... |
4863628 | from torch.optim.lr_scheduler import _LRScheduler
import numpy as np
class OneCycleLR(_LRScheduler):
"""Sets the learning rate and momentum according to
https://arxiv.org/abs/1803.09820
Args:
optimizer (Optimizer): Wrapped optimizer.
lrs (tuple): (start, middle, end)
moms (tupl... |
4863629 | from unittest import TestCase
import numpy as np
import requests
from PIL import Image
from deepclustering.augment import TransformInterface
from deepclustering.augment.sychronized_augment import SequentialWrapper
URL = f"https://cdn1.medicalnewstoday.com/content/images/articles/322/322868/golden-retriever-puppy.jpg... |
4863633 | import collections.abc
import functools
import os
import wx
class KeyExistError(KeyError):
def __init__(self, arg):
self.arg = arg
class BasicInfo(object):
def __init__(self, name, val):
self.name = name
self._val = val
def __str__(self):
return f'Ke... |
4863663 | from __future__ import absolute_import, division, print_function
from tests.core import mock
from trakt import Trakt
from httmock import HTTMock
def test_delete():
with HTTMock(mock.list_delete, mock.unknown):
with Trakt.configuration.auth('mock', 'mock'):
success = Trakt['users/sean/lists/s... |
4863675 | from setuptools import setup, Extension
import numpy as np
SRC_DIR = "stl_tools"
PACKAGES = [SRC_DIR]
ext_1 = Extension(SRC_DIR + ".cwrapped",
[SRC_DIR + "/cwrapped.c"],
libraries=[],
include_dirs=[np.get_include()])
EXTENSIONS = [ext_1]
setup(name='stl_tools',
... |
4863678 | def main():
import meshpy.triangle as triangle
import numpy as np
points = [(1, 1), (-1, 1), (-1, -1), (1, -1)]
for pt in np.random.randn(100, 2):
points.append(pt * 0.1)
def round_trip_connect(start, end):
result = []
for i in range(start, end):
result.append(... |
4863698 | from django.db import models
from clist.templatetags.extras import slug
from pyclist.models import BaseModel
from true_coders.models import Coder
class Chat(BaseModel):
class ChatType(models.TextChoices):
ROOM = 'ROOM', 'Room'
PRIVATE = 'PRIV', 'Private'
chat_type = models.CharField(
... |
4863719 | from __future__ import unicode_literals
from ddt import data, ddt
from django.test import TransactionTestCase
from django.urls import reverse
from mock_django import mock_signal_receiver
from rest_framework import status, test
from six.moves import mock
from waldur_core.quotas.tests import factories as quota_factorie... |
4863734 | import argparse
import collections
import operator
import sys
import yaml
from okonomiyaki.versions import EnpkgVersion
from simplesat.constraints import InstallRequirement
from simplesat.constraints.package_parser import constraints_to_pretty_strings
from simplesat.constraints.kinds import (
Any, EnpkgUpstreamM... |
4863742 | import json
import pytest
from galaxy.unittest.mock import async_return_value
@pytest.mark.asyncio
async def test_chunked_messages(plugin, read):
request = {
"jsonrpc": "2.0",
"method": "install_game",
"params": {
"game_id": "3"
}
}
message = json.dumps(reque... |
4863759 | import inspect
from typing import Any, Optional
import aiohttp
from aiohttp import ContentTypeError
from pydantic import validate_arguments
class GraphqlError(Exception):
pass
class ServerError(Exception):
pass
class ValidateMeta(type):
"""Metaclass that automatically wrap method with pydantic.valida... |
4863791 | from pandagg import Search
from pandagg.mappings import Keyword, Text, Nested, Object, Integer
from pandagg.tree.mappings import Mappings
from pandagg.interactive._field_agg_factory import field_classes_per_name
from pandagg.interactive.mappings import IMappings
from tests.testing_samples.mapping_example import MAPPI... |
4863814 | import numpy as np
a_2d = np.arange(6).reshape(2, 3)
print(a_2d)
# [[0 1 2]
# [3 4 5]]
a_2d_rot = np.rot90(a_2d)
print(a_2d_rot)
# [[2 5]
# [1 4]
# [0 3]]
print(np.shares_memory(a_2d, a_2d_rot))
# True
a_2d_rot[0, 0] = 100
print(a_2d_rot)
# [[100 5]
# [ 1 4]
# [ 0 3]]
print(a_2d)
# [[ 0 1 100]
# [... |
4863841 | import cv2
import numpy as np
from lib.config import cfg
from .chars_identify import chars_identify
from .chars_segment import CharsSegment
class CharsRecognize(object):
def __init__(self):
self.charsSegment = CharsSegment()
def charsRecognize(self, plate, model_dir):
chars = []
resu... |
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