id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
9894158 | import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
import json
from ..download_manager import Manager
class Album():
def __init__(self, proxies, headers, url=None):
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
self.proxies = proxies
... |
9894174 | import os
import pprint
import shutil
import tempfile
import pytest
import mock
from gtmcore.container import container_for_context
from gtmcore.dispatcher import jobs
from gtmcore.workflows import GitWorkflow, LabbookWorkflow
import gtmcore.fixtures
from gtmcore.fixtures.datasets import helper_append_file, helper_com... |
9894179 | import matplotlib.pyplot as plt
import matplotlib.backends.backend_pdf as plots2pdf
import numpy as np
import pandas as pd
import sys
#retrieve user id given user's name
#for this to work you need to enter the user's name in the form "firstname lastname" exactly as it appears on Facebook
def finduserid(name,profiles):... |
9894182 | import unittest
import numpy as np
import numpy.testing as npt
from deicode.preprocessing import rclr
from skbio.stats.composition import clr
class Testpreprocessing(unittest.TestCase):
def setUp(self):
self.cdata1 = np.array([[2, 2, 6],
[4, 4, 2]])
self.cdata2 = np... |
9894199 | from gym import spaces
import numpy as np
import pybullet as p
from domains.robot_envs.env import EnvObject, ASSETS_PATH
from domains.robot_envs.bumps_env import BumpsEnvBase
BUMP_S_URDF_PATH = ASSETS_PATH / 'bumps' / 'bump_40_red.urdf'
BUMP_L_URDF_PATH = ASSETS_PATH / 'bumps' / 'bump_50.urdf'
class BumpsDiffEnv(Bu... |
9894266 | import rdkit
import torch
from dgllife.data import JTVAEZINC, JTVAEDataset, JTVAECollator
from dgllife.utils import JTVAEVocab
from dgllife.model import JTNNVAE, load_pretrained
from torch.utils.data import DataLoader
def main(args):
lg = rdkit.RDLogger.logger()
lg.setLevel(rdkit.RDLogger.CRITICAL)
if ar... |
9894315 | import clr
from System import Environment
if Environment.Version.Major<4:
clr.use35 = True
else:
clr.use35 = False
if clr.use35:
clr.AddReference("Microsoft.Scripting.Core")
import Microsoft.Scripting.Ast as Exprs
else:
clr.AddReference("System.Core")
import System.Linq.Expressions as Exprs
f... |
9894330 | from PIL import Image
from PIL import ImageFont
from PIL import ImageDraw
file_name = raw_input("Please input the image name, including file appendix: ")
try:
img = Image.open("test.jpg")
s = raw_input("Please input the number to display: ")
try:
num = int(s)
img_width = img.size[0]
... |
9894346 | from rich.console import Console
from dbt_coves.tasks.base import BaseConfiguredTask
from dbt_coves.tasks.generate import sources
from dbt_coves.utils import shell
from dbt_coves.utils.airbyte_api import AirbyteApiCaller
from pathlib import Path
import requests, json, os, subprocess, pathlib
from typing import Dict
f... |
9894355 | import os
import hashlib
import random
from uuid import uuid4
from django.utils.deconstruct import deconstructible
@deconstructible
class UploadToPathAndRename(object):
def __init__(self, path):
self.sub_path = path
def __call__(self, instance, filename):
ext = filename.split('.')[-1]
... |
9894364 | import re
import os
import converter
import editsql_postprocess
import preprocess_nl2sql as preprocess
from eval_scripts import evaluation
class Module:
def __init__(self, args, ext, remove_invalid=True):
self.args = args
self.remove_invalid = remove_invalid
if self.remove_invalid:
... |
9894388 | from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.core.cache import cache
from django.db.models.signals import post_save, m2m_changed, post_delete
from django.db.models.signals import pre_save
from django.db.models.signals import pre_delete
from django.dispatch impo... |
9894432 | import logging
import traceback
import pandas as pd
import seaborn as sns
from collections import defaultdict
import numpy as np
import matplotlib
matplotlib.use('Agg')
matplotlib.rcParams['pdf.fonttype'] = 42
import matplotlib.ticker as ticker
from matplotlib import pyplot as plt
import matplotlib.patches as mpatc... |
9894468 | from tests import TestCase
from src.masonite.facades import Config
from src.masonite.configuration import config
from src.masonite.exceptions import InvalidConfigurationSetup
PACKAGE_PARAM = 1
OTHER_PARAM = 3
class TestConfiguration(TestCase):
def test_config_is_loaded(self):
self.assertGreater(len(Conf... |
9894483 | import platform
import textwrap
import unittest
from conans.test.utils.conan_v2_tests import ConanV2ModeTestCase
from conans.test.utils.tools import TestClient
class ConanfileSourceTestCase(ConanV2ModeTestCase):
""" Conan v2: 'self.cpp_info' is not available in 'package_id()' """
def test_cppinfo_not_in_pac... |
9894492 | import pymorph
import pylab
import numpy as np
def test_to_gray():
pieces = pylab.imread('pymorph/data/pieces_bw.tif')
assert np.all(pymorph.to_gray(pieces) == pieces[:,:,:3].max(2))
def test_2d():
img = pylab.imread('pymorph/data/fabric.tif')
assert img.shape == pymorph.to_gray(img).shape
assert n... |
9894519 | from torch.nn.utils import spectral_norm as SN
import torch.nn as nn
class SNDiscriminator(nn.Module):
def __init__(self, md):
super(SNDiscriminator, self).__init__()
block = lambda n_inp, n_out: nn.Sequential(
SN(nn.Conv2d(n_inp, n_out, 3, 1, 1, bias=True)),
nn.LeakyReLU(n... |
9894557 | import sys
sys.path.append("../")
import pandas as pd
from deepctr_torch.inputs import SparseFeat, VarLenSparseFeat
from preprocess import gen_data_set, gen_model_input
from sklearn.preprocessing import LabelEncoder
from deepmatch_torch.models import FM, NCF, DSSM
if __name__ == "__main__":
data = pd.read_csvdat... |
9894611 | import abc
class FileManagerInterface(metaclass=abc.ABCMeta):
@abc.abstractmethod
def __init__(self):
pass
@abc.abstractmethod
def create_prefix(self, prefix) -> str:
raise NotImplementedError
@abc.abstractmethod
def create_stage(self, prefix, stage) -> str:
raise No... |
9894658 | import argparse
import os
import os.path as osp
import pprint
import warnings
from torch.utils import data
from advent.model.deeplabv2 import get_deeplab_v2
from advent.dataset.cityscapes import CityscapesDataSet
from advent.dataset.mapillary import MapillaryDataSet
from advent.domain_adaptation.config import cfg, cf... |
9894659 | import torch
import os
import subprocess
def disparity_normalization_vis(disparity):
"""
:param disparity: Bx1xHxW, pytorch tensor of float32
:return:
"""
assert len(disparity.size()) == 4 and disparity.size(1) == 1
disp_min = torch.amin(disparity, (1, 2, 3), keepdim=True)
di... |
9894668 | import logging
import azure.functions as func
def main(msg: func.ServiceBusMessage):
logging.info('Python ServiceBus queue trigger processed message: %s',
msg.get_body().decode('utf-8'))
|
9894679 | from PIL import Image, ImageDraw, ImageFont
ALPHABET = 'ABCDEFGHIJKLMNO'
class DisplayGomoku(object):
d = 800
ld = int(d * 0.005)
margin = 0.1
a = margin * d # grid_upper
b = (1 - margin) * d # grid_lower
c = b - a
bgcolor = '#384259'
color1 = '#7ac7c4'
color2 = '#c4edde'
co... |
9894687 | import logging
log = logging.getLogger('decorators') # or whatever you want
class UnhandledSuppression(Exception):
'''
this is strictly for handling situations where your
potentially-suppressed function returns a value.
if the function is suppressed, variable = suppressedFunc(somevars)
would conta... |
9894700 | import numpy as np
from tensorflow.contrib.learn.python.learn.datasets import base
from influence.dataset import DataSet
def load_yelp(train_dir):
train = np.loadtxt("%s/yelp-ex.train.rating"%train_dir, delimiter='\t')
valid = np.loadtxt("%s/yelp-ex.valid.rating"%train_dir, delimiter='\t')
test = np.loadtxt("... |
9894709 | from dbas.decidotron.lib import to_cents
from dbas.tests.utils import TestCaseWithConfig
class TestToCents(TestCaseWithConfig):
def test_euro_only(self):
input = 4000
self.assertEqual(to_cents(input), 4000_00, )
def test_cents_with_dot(self):
input = 4000.99
self.assertEqual(t... |
9894727 | from typing import Optional, List
from pathlib import Path
from datetime import datetime
import json
import os
import pandas as pd
import numpy as np
from . import state2abbr, abbr2state
def load_cdc_truth(
death: bool = False,
cumulative: bool = True,
start_date: str = '2020-01-23',
end_date: Optio... |
9894792 | import os
import json
import requests
from loguru import logger
MainDir = os.path.dirname(os.path.abspath(os.path.dirname(__file__)))
class Config:
Endpoint = None
HeaderAuthName = None
HeaderAuthValue = None
ModelDistDir = os.path.join(MainDir, "dist/api/v1")
ModelJsonPath = "models.json"
M... |
9894829 | import multiprocessing
import time
import sys
import datetime
import os
import csv
import json
# Directory where the original .csv files were downloaded to, using downloadTaxisCSVs.py:
CSV_DIR = '/lucenedata/nyc-taxi-data'
normalize = {
'vendorid': 'vendor_id',
'vendor_id': 'vendor_id',
'vendor_name': 'vendor_n... |
9894831 | from flask import Blueprint
bp = Blueprint('books', __name__)
from app.book import books, services
if services.check_connection():
services.create_index_with_mapping()
|
9894844 | class CoapOption:
def __init__(self, number=-1, buffer=None):
self.number = number
byteBuf = bytearray()
if buffer is not None:
byteBuf.extend(buffer)
self.buffer = byteBuf
|
9894887 | from qtools import QtGui, QtCore
from collections import OrderedDict
# Generic classes
# ---------------
class TreeItem(object):
def __init__(self, parent=None, data=None):
"""data is an OrderedDict"""
self.parent_item = parent
self.index = QtCore.QModelIndex()
self.children = []
... |
9894888 | import torch
from torch.autograd import Function
from torch.nn.modules.module import Module
from torch.autograd import Variable
import os
from torch.autograd.function import once_differentiable
torch_ver = torch.__version__[:3]
if torch_ver=="0.4":
from torch.utils.cpp_extension import load
build_path = o... |
9894890 | import os
import codecs
import numpy as np
import torch
import torch.utils.data
import torch.nn.functional
import matplotlib.pyplot as plt
import argparse
from data_provider import cv_dataset, cv_dataset_inference
from network import Spatial_RNN
from utils import tprint, get_batch_PSNR
from conf import config_general
... |
9894893 | import pandas as pd
import numpy as np
import multiprocessing
import os
import pywt
import json
import quaternion
from pandas.io.json import json_normalize
# File manipulation
def generatePath(pointer, timeSeriesName):
"""
Outputs the path to find the specified JSON file.
Input:
- pointer: float
... |
9894908 | import subprocess
subprocess.call('python setup.py sdist')
subprocess.call('python setup.py bdist_wheel --universal')
subprocess.call('twine upload dist/*')
|
9894936 | import requests
import logging
import json
class HTTPOutputHandler():
def __init__(self, **kwargs):
logging.getLogger(__name__)
try:
self.headers = kwargs.get('headers', {})
self.headers['content-type'] = 'application/json'
self.fields = kwargs.get('fields', [])... |
9894947 | import cv2 as cv
img = cv.imread("maliao.jpg", cv.IMREAD_UNCHANGED)
# 获取 ROI 区域
face = img[10:175, 100:260]
# 图像赋值
img[0:165, 0:160] = face
# 原始图像显示
cv.imshow("demo", img)
#等待显示
cv.waitKey(0)
cv.destroyAllWindows() |
9894948 | import numpy as np
import math
import tensorflow as tf
from model.model_sparse_graph_signal import Model
import six.moves.cPickle as pickle
tf.set_random_seed(0)
import time
from model import config as cf
# DATA_PATH = "data"
n_steps = 100
tf.flags.DEFINE_integer("n_steps", n_steps, "num of step.")
tf.... |
9895000 | from .utils.integer import RandomInteger
from .utils.compatibility import *
from .utils.binary import BinaryAscii
from .utils.der import fromPem, removeSequence, removeInteger, removeObject, removeOctetString, removeConstructed, toPem, encodeSequence, encodeInteger, encodeBitString, encodeOid, encodeOctetString, encode... |
9895020 | from decimal import Decimal
class ObjectNoClassVars:
def __init__(self):
self.int = 12
self.bool = False
self.float = 12.34
self.str = "test"
self.bytes = bytes(b"test")
self.bytearray = bytearray(b"test")
self.complex = complex(1234)
self.decimal =... |
9895032 | import os
import pickle
import numpy as np
import torch
import torchvision.transforms as transforms
from PIL import Image
from .randaugment import RandomAugment
from sklearn.preprocessing import OneHotEncoder
from .utils_algo import generate_uniform_cv_candidate_labels
import copy
def load_cub200(input_size, partial_r... |
9895087 | from django.db import models
from blog.models import Post
from django.contrib.auth.models import User
# Create your models here.
class Comment(models.Model):
post = models.ForeignKey(Post,on_delete=models.CASCADE,related_name='posts')
parent = models.ForeignKey('self',null=True,blank=True,on_delete=models.CASC... |
9895112 | import argparse
import json
import sys
from metal.serial import Engine
from metal.serial.generate import SerialInfo
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-S', '--serial-info', required=True, help='The serial information perviously generated')
parser.add_argument('-I', '--in... |
9895139 | import numpy as np
from skimage import measure
import nibabel as nib
import cv2
def to_categorical(mask, num_classes, channel='channel_first'):
"""
convert ground truth mask to categorical
:param mask: the ground truth mask
:param num_classes: the number of classes
:param channel: 'channel_first' ... |
9895240 | import re
from os import path
dirs_regex = [
"taglib *prefix ?= ?[\"'](.*)[\"'] *tagdir ?= ?[\"'](.*)[\"']",
"xmlns:(\\w*)=[\"']urn:jsptagdir:(.*?)[\"']"
]
prog = re.compile('(<([\\w-]*)\\:([\\w-]*))')
class JstlPathResolver:
def __init__(self, view, str_lookup, current_dir, roots, settings):
sel... |
9895248 | from flask import current_app as app, render_template, request, redirect, jsonify, url_for, Blueprint
from CTFd.utils import admins_only, is_admin, cache
from CTFd.models import db, Teams, Solves, Awards, Containers, Challenges, WrongKeys, Keys, Tags, Files, Tracking, Pages, Config, DatabaseError
from CTFd import util... |
9895259 | from setuptools import setup
import os
execfile(os.path.join('sheetsync','version.py'))
with open('README.rst') as fh:
long_description = fh.read()
with open('requirements.txt') as fh:
requirements = [line.strip() for line in fh.readlines()]
setup(
name='sheetsync',
version=__version__,
descript... |
9895270 | import git
def get_git_repo_dir():
"""Gets path to the current git repo. """
repo = git.Repo(".", search_parent_directories=True)
return repo.working_tree_dir
|
9895333 | from pyravendb.tests.test_base import TestBase
from pyravendb.data.indexes import IndexDefinition, FieldIndexing, IndexFieldOptions
from pyravendb.data.query import QueryOperator
from pyravendb.raven_operations.maintenance_operations import PutIndexesOperation
from datetime import datetime
class LastFm(object):
d... |
9895353 | import math
import numpy as np
from .util import *
class FoldPlane:
def __init__(self, n, d=0.0):
self.n = set_global_vec3(n)
self.d = set_global_float(d)
def fold(self, p):
n = get_global(self.n)
d = get_global(self.d)
p[:3] -= 2.0 * min(0.0, np.dot(p[:3], n) - d) * n
def unfold(self, p, q):
n = get_... |
9895410 | from protocols import reports_6_0_1, reports_6_0_2
from protocols.migration import BaseMigration
from protocols.migration import migration_participant_112_to_participant_113
class MigrateReports601To602(BaseMigration):
old_model = reports_6_0_1
new_model = reports_6_0_2
def migrate_interpretation_reque... |
9895449 | import skil
from skil.services import *
from skil import Skil
from skil.workspaces import get_workspace_by_id
from skil.experiments import get_experiment_by_id
from skil.utils.io import serialize_config, deserialize_config
import skil_client
from skil_client.rest import ApiException as api_exception
import time
import... |
9895451 | import logging
from typing import Dict, Any
from mage.graph_coloring_module.graph import Graph
from mage.graph_coloring_module.components.individual import Individual
from mage.graph_coloring_module.components.population import Population
from mage.graph_coloring_module.error_functions.error import Error
from mage.grap... |
9895469 | import argparse
import numpy as np
import pydigree as pyd
from pydigree.stats import MixedModel
from pydigree.common import table
from pydigree.stats.stattests import LikelihoodRatioTest
parser = argparse.ArgumentParser()
parser.add_argument('--ped', required=True,
help='LINKAGE formatted 5/6 colum... |
9895481 | import json
import os.path
import logging
import argparse
import sqlite3
from credentials import *
try:
from instagram_private_api import (
Client, __version__ as client_version)
except ImportError:
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from instagram_private_... |
9895488 | from datetime import datetime
import time
import aiohttp
import discord
from discord.ext import commands
from discord.ext.commands import Bot
from discord_slash import SlashContext, cog_ext
from discord_slash.utils.manage_commands import create_option
from pymongo import MongoClient
from cogs.ctftime.help import co... |
9895498 | from aoc import *
from collections import Counter
from itertools import product
def find_owner(point, coords):
c1, c2 = sorted(coords, key = lambda p: manhattan(p, point))[:2]
return c1 if manhattan(c1, point) < manhattan(c2, point) else None
def finite_areas(coords):
owned_points = Counter(find_owner(pt... |
9895505 | from subprocess import CalledProcessError
import pytest
from hooks.post_gen_project import (
add_me_as_contributor,
check_command_exists,
initial_commit,
run_poetry_install,
setup_github,
setup_pre_commit,
)
@pytest.mark.parametrize(
"side_effect",
[
FileNotFoundError(),
... |
9895546 | from app import db
from app.invitedGuest.models import InvitedGuest, GuestRegistration
from app.users.models import AppUser
from app.events.models import Event
from app.registration.models import RegistrationForm
from app.attendance.models import Attendance
from sqlalchemy.sql import exists
from app import LOGGER
from ... |
9895556 | import os
start_dir = os.getcwd()
# mahimahi
os.system("sudo sysctl -w net.ipv4.ip_forward=1")
os.system("sudo add-apt-repository -y ppa:keithw/mahimahi")
os.system("sudo apt-get -y update")
os.system("sudo apt-get -y install mahimahi")
# apache server
os.system("sudo apt-get -y install apache2")
# selenium
os.chdi... |
9895557 | def splitLen(seq, lenght):
return [seq[i:i + lenght] for i in range(0, len(seq), lenght)]
def encode(key, plaintext):
order = {
int(val): num for num, val in enumerate(key)
}
chiperText = ''
for index in sorted(order.keys()):
for part in splitLen(plaintext, len(key)):
try:
... |
9895571 | from Complex import Complex
cnum1 = Complex(1,2)
print cnum1
cnum2 = Complex(3,4)
print cnum2
print cnum1.add(cnum2)
from Counter import Counter
counter1 = Counter()
print counter1
counter1.inc()
counter1.inc()
print counter1
counter1.reset()
print counter1
|
9895585 | async def fetch_user(conn, user_id):
user_row = await conn.fetchrow('SELECT * FROM users WHERE id = $1', user_id)
if user_row is not None:
return user_row
else:
return await add_user(conn, user_id)
async def add_user(conn, user_id):
async with conn.transaction():
await conn.... |
9895626 | import click
from ..utils import Spotify
from ..utils.parsers import *
from ..utils.functions import format_duration_ms
from ..utils.exceptions import *
@click.command(options_metavar='[<options>]')
@click.option(
'-v', '--verbose', count=True,
help='Output more info (repeatable flag).'
)
@click.option(
... |
9895656 | import re
__product__ = "Microsoft SQL Report Manager"
__description__ = (
"Microsoft SQL Server Report Manager - web-based report access and management tool"
)
def search(html, **kwargs):
html = str(html)
plugin_detection_schema = (
re.compile(r"content.[\'\"]?microsoft.sql.server.report", re.I... |
9895666 | import unittest
from biolinkml import META_BASE_URI
from biolinkml.generators.jsonldcontextgen import ContextGenerator
from tests.test_base.environment import env
from tests.utils.generatortestcase import GeneratorTestCase
from tests.utils.filters import ldcontext_metadata_filter
class ContextTestCase(GeneratorTestC... |
9895715 | import os
import sys
import uuid
import platform
from PyQt5.QtCore import QObject, pyqtSlot
class System(QObject):
# 获取系统类型
@pyqtSlot(result = str)
def type(self):
return platform.system()
# 获取系统平台
@pyqtSlot(result = str)
def platform(self):
return sys.platform
# 获取系统位数
@pyqtSlot(result = str)
def arch... |
9895718 | import win32com,win32com.client
def ad_dict(ldap_path,value_required=1):
attr_dict={}
adobj=win32com.client.GetObject(ldap_path)
schema_obj=win32com.client.GetObject(adobj.schema)
for i in schema_obj.MandatoryProperties:
value=getattr(adobj,i)
if value_required and value==None: continue
attr_... |
9895724 | from seamless.highlevel import Context, Cell, Macro
ctx = Context()
ctx.a = Cell("int")
ctx.b = Cell("int")
def add(a,b):
return a+b
ctx.add = add
ctx.add.a = ctx.a
ctx.add.b = ctx.b
ctx.result = ctx.add
ctx.result.celltype = "int"
ctx.compute()
graph = ctx.get_graph(runtime=True)
ctx = Context()
ctx.graph = Cell... |
9895732 | from MedipReport import *
##############################################################
##############################################################
##############################################################
class TrackerDMRSummary(ProjectTracker, SingleTableTrackerRows):
table = "dmr_stats"
fields = ... |
9895735 | garbled = "IXXX aXXmX aXXXnXoXXXXXtXhXeXXXXrX sXXXXeXcXXXrXeXt mXXeXsXXXsXaXXXXXXgXeX!XX"
message = filter (lambda letter: letter.replace ("X",""),garbled)
print message
|
9895745 | import math
from typing import Callable, List, Tuple
import numpy as np
from pysketcher._curve import Curve
from pysketcher._point import Point
class CubicBezier(Curve):
"""A cubic bezier curve implementation.
Examples:
>>> s = ps.CubicBezier(
... ps.Point(0, 0), [(ps.Point(1, 1), ps.Po... |
9895772 | import logging
import pathlib
import joblib
from tqdm import tqdm
import pandas as pd
from util import init, reduce_mem_usage, AGGREGATION_LEVELS
def dump(df, name):
df = reduce_mem_usage(df)
save_dir = pathlib.Path('../data/04_agg')
if not save_dir.exists():
save_dir.mkdir(parents=True)
jobl... |
9895811 | import time
import torch
from torch.utils.data import DataLoader
import torch.optim as optim
import torch.optim.lr_scheduler as lr_scheduler
from chebygin import *
from utils import *
from graphdata import *
import torch.multiprocessing as mp
import multiprocessing
try:
import ax
from ax.service.managed_loop im... |
9895821 | from django.core.management.base import BaseCommand
from cycling.neware_processing_functions import *
def import_and_process(args):
cell_ids = None
for _ in range(5):
print()
print("BULK DEPRECATE")
bulk_deprecate()
for _ in range(5):
print()
print("BULK IMPORT(PARSE RAW FILE +... |
9895842 | from multiprocessing import Queue
import pytest
from webcomix.scrapy.download.comic_spider import ComicSpider
from webcomix.exceptions import CrawlerBlocked
def test_parse_yields_good_page(mocker):
mock_response = mocker.patch("scrapy.http.Response")
mock_response.urljoin.return_value = "http://xkcd.com/3/"... |
9895891 | import cv2
import dlib
import numpy as np
FACIAL_LANDMARKS_TEMPLATE = np.float32([
(0.0792396913815, 0.339223741112), (0.0829219487236, 0.456955367943),
(0.0967927109165, 0.575648016728), (0.122141515615, 0.691921601066),
(0.168687863544, 0.800341263616), (0.239789390707, 0.895732504778),
(0.325662452... |
9895936 | MAX = 5
class Solution:
def isSafe(self ,row, col, m, n,
visited):
if (row == -1 or row == n or
col == -1 or col == n or
visited[row][col] or m[row][col] == 0):
return False
return True
def printPathUtil(self , row, col, m, n, path, po... |
9895939 | import pytest
from semver import (
bump_build,
bump_major,
bump_minor,
bump_patch,
bump_prerelease,
parse_version_info,
)
def test_should_bump_major():
assert bump_major("3.4.5") == "4.0.0"
def test_should_bump_minor():
assert bump_minor("3.4.5") == "3.5.0"
def test_should_bump_pa... |
9895955 | from pdb import Pdb
from Image_Video import display,blur,edge_detect,count_cards,face_detect,webcam_face_detect
import os
import glob
def test_display():
try:
for f in glob.glob("test*.png"):
os.remove(f)
except:
pass
image = "Image_Video/ship.jpg"
display.display(image, Tru... |
9895985 | from PIL import Image
import struct
import sys
import os
import argparse
def main():
# Parse arguments
parser = argparse.ArgumentParser(description='Converts an image to binary')
parser.add_argument('file', metavar='N', type=str, nargs=1,
help='Input file')
parser.add_argument('-o', '--out', help='output .bin file... |
9896012 | from __future__ import unicode_literals
from .exceptions import LockError # NOQA
default_app_config = 'lock_manager.apps.LockManagerApp'
|
9896062 | from jmetal.algorithm.multiobjective.hype import HYPE
from jmetal.core.solution import FloatSolution
from jmetal.operator import SBXCrossover, PolynomialMutation
from jmetal.problem import ZDT1
from jmetal.util.solution import read_solutions, print_function_values_to_file, print_variables_to_file
from jmetal.util.termi... |
9896139 | from bisect import bisect_left
class Solution:
def countSmaller(self, nums: List[int]) -> List[int]:
n = len(nums)
res, temp = [0] * n, []
for j in range(n - 1, -1, -1):
i = bisect_left(temp, nums[j])
res[j] = i
temp[i:i] = [nums[j]]
return res
|
9896143 | import os
import sys
import ave.cmd
def getpwnam_dir(name):
cmd = [
'/usr/bin/python2', os.path.realpath(__file__), 'pwd.getpwnam.dir', name
]
s,o,e = ave.cmd.run(cmd)
o = o.strip()
if s != 0:
raise Exception(o)
return o
def getpwuid_name(uid):
uid = str(uid)
cmd = [
... |
9896154 | from data_importers.management.commands import BaseXpressDemocracyClubCsvImporter
class Command(BaseXpressDemocracyClubCsvImporter):
council_id = "MOL"
addresses_name = (
"2021-03-02T12:34:43.331647/Mole Valley Democracy_Club__06May2021 (1).tsv"
)
stations_name = (
"2021-03-02T12:34:43... |
9896201 | from OpenSSL.crypto import load_certificate, FILETYPE_PEM
cert_file_string = open("esx.crt", "rb").read()
cert = load_certificate(FILETYPE_PEM, cert_file_string)
sha1_fingerprint = cert.digest("sha1")
print sha1_fingerprint |
9896213 | names = [ 'Sam', 'Axel', 'Aerith' ]
surnames = [ 'Fisher', 'Foley', 'Gainsborough' ]
people = zip(names, surnames)
print(
list(people)
)
|
9896247 | from sympy import *
from Irene import *
from pyProximation import OrthSystem, Measure
# introduce symbols and functions
x = Symbol('x')
y = Symbol('y')
z = Symbol('z')
t = Symbol('t')
# transcendental term of objective
f = sin(z)
# Legendre polynomials via pyProximation
D_f = [(-2, 2)]
w = lambda x: 1. / sqrt(4 - x**2)... |
9896261 | import plotly.graph_objs as graph
import plotly
import traceback
from typing import List
from .aecSpace import aecSpace
"""
aecSpaceDrawPlotly accepts lists of aecSpaces or an
aecSpaceGroup instance to render in plotly.
"""
class aecSpaceDrawPlotly:
def __init__(self):
"""
aecSpaceDrawOCC Co... |
9896282 | from pathlib2 import Path
dac_dir = Path(__file__).parent
trajector_dir = dac_dir / 'trajs'
project_dir = dac_dir.parent.parent
results_dir = project_dir / 'results'
if not trajector_dir.is_dir():
trajector_dir.mkdir()
if not results_dir.is_dir():
results_dir.mkdir()
|
9896283 | import os
import shutil
class removes(object):
"""
Decorator to remove a path after function call.
"""
def __init__(self, path):
self.path = path
def __call__(self, f):
"""
Ensures path is removed after function call.
"""
def wrapper(*args, **kwargs):
... |
9896308 | from forms import LoginForm, RegisterForm, SearchForm
import requests
class Apis():
def search_api(search_variable):
searchUrl = 'https://api.itbook.store/1.0/search/'
r = requests.get(searchUrl + search_variable)
result = r.json()
return result
def numeric_search(last_num... |
9896309 | def LCSubStr(X, Y):
# Create a table to store lengths of
# longest common suffixes of substrings.
# Note that LCSuff[i][j] contains the
# length of longest common suffix of
# X[0...i-1] and Y[0...j-1]. The first
# row and first column entries have no
# logical meaning, they are used only
... |
9896319 | from typing import List, Dict
from functools import lru_cache
try:
import importlib.resources as pkg_resources
except ImportError:
# Try backported to PY<37 `importlib_resources`.
import importlib_resources as pkg_resources
import numpy as np, json
from skimage.color import rgb2lab, deltaE_ciede2000
MAX_R... |
9896360 | from collections import MutableMapping
from unittest import mock
import matplotlib
import numpy as np
import pytest
from hrv.rri import (
RRi,
RRiDetrended,
_create_time_array,
_prepare_table,
_validate_rri,
_validate_time,
)
from tests.test_utils import FAKE_RRI
class TestRRiClassArguments:
... |
9896375 | from xview.models import MixFCN as FCN
from xview.datasets.synthia import Synthia
config = {'num_classes': 14,
'num_units': 5,
'dropout_rate': 0.2,
'learning_rate': 0.01,
'num_channels': 3,
'modality': 'rgb',
'batch_normalization': False,
'train_enc... |
9896384 | import time
import sys
import secrets
import random
import string
from pathlib import Path
import os
import json
import logging
import jimi
# Current System Version
systemVersion = 3.133
# Initialize
dbCollectionName = "system"
# system Class
class _system(jimi.db._document):
name = str()
data = dict()
... |
9896385 | import inspect
import re
import typing
from html import escape
from mara_page import _, html
from .. import pipelines
from ..commands import python
class ParallelExecutePython(pipelines.ParallelTask):
def __init__(self, id: str, description: str, file_name: str, parameter_function: typing.Callable,
... |
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