text stringlengths 2 999k |
|---|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("UserInfo", "0004_auto_20170318_1107"),
]
operations = [
migrations.AlterField(
model_name="pledgeclass",
... |
import tntbx
import tntbx.eigensystem
from scitbx.array_family import flex
from libtbx.test_utils import approx_equal
import random
import time
def matrix_mul(a, ar, ac, b, br, bc):
assert br == ac
result = []
for i in xrange(ar):
for k in xrange(bc):
s = 0
for j in xrange(ac):
s += a[i ... |
# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.24.*, run `git checkout -b 0.24` or switch to the `0.24` branch on GitHub)
import numpy as np
import cv2
from .colors import get_color
class BoundBox:
def __init__(self, xmin... |
from . import _version
__version__ = _version.get_versions()['version']
from .impact import Impact
from .impact_distgen import run_impact_with_distgen, evaluate_impact_with_distgen
from .control import ControlGroup
import os
# Used to access data directory
root, _ = os.path.split(__file__)
template_dir = os.path.joi... |
from datetime import datetime, timedelta
from typing import TypeVar, Generic, Optional, Type
T = TypeVar("T")
class SimpleCache(Generic[T]):
'''
A high performance mini local cache.
This cache will not copy the objects on get/put, modification to objects affects cached objects.
You can pass a class ... |
# -*- coding: utf-8 -*-
import os, sys
import argparse
import numpy as np
import torch
from torchvision import datasets, transforms
from torch import optim
from torch.optim import lr_scheduler
from model import Net
from train_eng import net_train
from test_eng import net_test
def parse_args():
parser = argparse... |
# pull in the default wazimap settings
from wazimap.settings import * # noqa
# install this app before Wazimap
INSTALLED_APPS = ['wazimap_np'] + INSTALLED_APPS
DEBUG = False if (os.environ.get('APP_ENV', 'dev') == 'prod') else True
DATABASE_URL = os.environ.get('DATABASE_URL', 'postgresql://wazimap_np:wazimap_np@lo... |
#!/usr/bin/env python
from setuptools import setup
from prettytable import __version__ as version
def fread(filepath):
with open(filepath, 'r') as f:
return f.read()
setup(
name='ptable2',
version=version,
include_package_data=True,
zip_safe=False,
entry_points={
'console_scr... |
#!/usr/bin/python3
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-i', nargs=1, required=True, help='input gtf file')
parser.add_argument('-o', nargs=1, required=True, help='output bed file')
args = parser.parse_args()
gtf = open(args.i[0])
bed = open(args.o[0], 'w')
for line in gtf:
chro... |
#!/Library/Frameworks/Python.framework/Versions/3.1/bin/python3
import os
import sys
sys.path.append(os.getcwd().split('slps')[0]+'slps/shared/python')
import slpsns
import xml.etree.ElementTree as ET
if __name__ == '__main__':
if len(sys.argv)<3:
print('Usage:\n\tcount.py <input-def> <input-file>...')
sys.exit(1... |
# coding: utf-8
"""
Seldon Deploy API
API to interact and manage the lifecycle of your machine learning models deployed through Seldon Deploy. # noqa: E501
OpenAPI spec version: v1alpha1
Contact: hello@seldon.io
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint... |
# Copyright 2015 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# https://aws.amazon.com/apache2.0/
#
# or in the "license" file accomp... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from enum import Enum
__all__ = [
'AacAudioProfile',
'AccountEncryptionKeyType',
'AnalysisResolution',
'AssetContainerPermission',
... |
import pickle
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import LabelEncoder
from sklearn.linear_model import SGDClassifier
from sklearn.feature_extraction.text import TfidfVectorizer
from text_studio.model import Model
class Sklearn_SVM(Model):
def setup(self, tokenizer=None, lowercase=Fa... |
# -*- coding: utf-8 -*-
"""SPNet v1 model for Keras.
"""
import numpy as np
import sys
from keras.models import Model
from ..config import ModelConfig
from ..losses import pose_regression_loss
from ..layers import *
from ..utils import *
from .blocks import *
from .common import residual
from .common import downscal... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright 2013 Kitware Inc.
#
# Licensed under the Apache License, Version 2.0 ( the "License" );
# you may not use this file except in compliance with the License.
# You may obtain a cop... |
from pubnub.managers import TelemetryManager
from pubnub.enums import PNOperationType
def test_average_latency():
manager = TelemetryManager()
endpointLatencies = [
{"timestamp": 100, "latency": 10},
{"timestamp": 100, "latency": 20},
{"timestamp": 100, "latency": 30},
{"timest... |
import setuptools
setuptools.setup(
name='qrsend',
version='2.6.8',
py_modules=['qrsend'],
entry_points={'console_scripts': ['qrsend = qrsend:main']},
install_requires=['qrcode'],
extras_require={'extras': ['netifaces']}
)
|
"""Matrix-based probabilistic linear solvers.
Implementations of matrix-based linear solvers which perform inference
on the matrix or its inverse given linear observations.
"""
import abc
import warnings
import numpy as np
import probnum
from probnum import linops, randvars
class ProbabilisticLinearSolver(abc.ABC)... |
from setuptools import find_packages, setup
setup(
name="pymongo-migrate",
version="0.11.0",
description="MongoDB data migration tool in Python",
url="https://github.com/stxnext/pymongo-migrate",
license="Apache",
packages=find_packages(where="src"),
package_dir={"": "src"},
platforms="... |
from __future__ import division
import torch
import math
import random
from PIL import Image
import cv2
import numpy as np
import numbers
import types
import collections
import warnings
import matplotlib.pyplot as plt
from torchvision.transforms import functional
import PIL
INTER_MODE = {'NEAREST': cv2.INTER_NEAREST, ... |
from __future__ import division, print_function
__all__ = ['Experiment', 'load_data', 'load_model', 'load_fit', 'sim_data',
'Parameter', 'FitProblem', 'FreeVariables',
'pmath', 'preview', 'fit', 'np', 'sys', 'sans', 'seed']
# symbols loaded for export
import sys
import numpy as np
from bumps.name... |
# Copyright (C) 2018 Pierre Jean Fichet
# <pierrejean dot fichet at posteo dot net>
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE I... |
"""Wordle Terminal"""
import random
from functools import partial
from termcolor import colored
with open("words.txt", "r", encoding="utf8") as file:
wordList2D = [(line.strip()).split() for line in file]
file.close()
wordList = []
for i, _ in enumerate(wordList2D):
wordList.append(wordList2D[i][0])
word =... |
import os
import numpy as np
import json
import tensorflow as tf
import keras.backend as k
from keras.layers import *
from keras.layers import InputLayer, Input
from keras.models import Sequential, Model, load_model
from keras.layers import concatenate
from keras.optimizers import Adam
from keras.callbacks import Earl... |
import os, time, socket, struct, tempfile, subprocess, ssl
__all__ = ['Daemon', 'Datagram', 'DatagramIterator',
'MDConnection', 'ChannelConnection', 'ClientConnection']
class Daemon(object):
DAEMON_PATH = './astrond'
def __init__(self, config):
self.config = config
self.daemon = N... |
import torch
import torch.nn as nn
from mmdet.core import bbox2result, bbox2roi, build_assigner, build_sampler
from .. import builder
from ..registry import DETECTORS
from .base import BaseDetector
from .test_mixins import BBoxTestMixin, MaskTestMixin, RPNTestMixin
@DETECTORS.register_module
class TwoStageDetector(B... |
"""Split data with multiple labels
Split data into multiple datasets
Example
-------
2 label columns:
>>> python split_data_with_multiple_labels.py ptsd.csv output --split label_included label_abstract_screening --suffix final tiab
3 label columns:
>>> python split_data_with_multiple_labels.py ptsd.c... |
#!/usr/bin/env python
"""Writer for PHYLIP sequence format
"""
from cogent3.format.util import _AlignmentFormatter
__author__ = "Gavin Huttley"
__copyright__ = "Copyright 2007-2022, The Cogent Project"
__credits__ = ["Gavin Huttley", "Thomas La"]
__license__ = "BSD-3"
__version__ = "2022.4.20a1"
__maintainer__ = "Ga... |
##########################################################################
# If not stated otherwise in this file or this component's Licenses.txt
# file the following copyright and licenses apply:
#
# Copyright 2017 RDK Management
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use th... |
"""Pair plot between variables of latent space"""
from configparser import ConfigParser, ExtendedInterpolation
import glob
import time
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from sdss.utils.managefiles import FileDirectory
from sdss.utils.configfile import Configu... |
import logging
import sys
import click
DEBUG_STRING = click.style("DEBUG", fg="green")
LOG_STRING = click.style("manta", fg="blue", bold=True) # same as info
LOG_STRING_NOCOLOR = "manta"
WARN_STRING = click.style("WARNING", fg="yellow")
ERROR_STRING = click.style("ERROR", bg="red", fg="green")
CRITICAL_STRING = clic... |
# Code modified from https://github.com/kuangliu/pytorch-cifar
'''ResNet in PyTorch.
BasicBlock and Bottleneck module is from the original ResNet paper:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
PreActBlock and PreActBottleneck module is ... |
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2013 OpenStack Foundation
# Copyright 2013 IBM Corp.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this... |
#!/usr/bin/env python3
# @Time : 31/5/20 7:49 PM
# @Author : fangcheng.ji
# @FileName: augmentation.py
import numpy as np
import random
import cv2
import math
import albumentations as A
import albumentations.augmentations.functional as AF
def get_albumentations_train_transforms():
return A.Compose(
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pickle
import pytest
import numpy as np
import pandas as pd
from xarray.core import duck_array_ops, utils
from xarray.core.pycompat import OrderedDict
from . import TestCase
class TestAlias(TestCase):... |
from pathlib import Path
from tempfile import TemporaryDirectory
from h5xrd.main import main
def test_main():
with TemporaryDirectory() as csv_dir:
main('data', csv_dir)
count = 0
for csv_file in Path(csv_dir).iterdir():
count += 1
with csv_file.open("r") as f:
... |
#! /usr/bin/python
#-*- coding: utf-8 -*-
from __future__ import print_function
import sys, os
import argparse
import datetime
from pybern.products.codesp3 import get_sp3, list_products
from pybern.products.formats.sp3 import Sp3
import pybern.products.fileutils.decompress as dc
import pybern.products.fileutils.compre... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""Tests for the TSK path specification implementation."""
import unittest
from tests.path import test_lib
from dfvfs.path import tsk_path_spec
class TSKPathSpecTest(test_lib.PathSpecTestCase):
"""Tests for the TSK path specification implementation."""
def testInitiali... |
#!/usr/bin/env python
from __future__ import print_function
import os
import subprocess
import stretch_body.hello_utils as hu
hu.print_stretch_re_use()
print('Versions')
print("-------------------------------------------------------------------------")
import stretch_body
import stretch_body.base as base
import stretc... |
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
import pytest
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.models import AnonymousUser
from django.contrib.messages.middleware import MessageMiddleware
from django.contrib.sessions.middleware import SessionMiddleware
from django.http import HttpRequest, HttpResponseRedir... |
# Copyright 2013-2018 CERN for the benefit of the ATLAS collaboration.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... |
"""Benchmarks of Lasso regularization path computation using Lars and CD
The input data is mostly low rank but is a fat infinite tail.
"""
from collections import defaultdict
import gc
import sys
from time import time
import numpy as np
from sklearn.linear_model import lars_path, lars_path_gram
from sklearn.linear_m... |
import json
from abc import ABC, abstractmethod
from typing import Any, Dict, Final
import toml
import yaml
from path import Path
from .utils.misc import list_to_nested_dicts, merge_nested_dicts
class IConfigLoader(ABC):
def __init__(self, workdir: Path):
self._workdir: Final = workdir
@abstractmet... |
# 1、现有两元祖 (('a'),('b')),(('c'),('d')) ,请使用Python中的匿名函数生成列表 [ {'a':'c'｝,{'b':'d'}]
t1 = (('a'), ('b'))
t2 = (('c'), ('d'))
lst = []
for i in range(2):
d = lambda t1, t2: {t1[i][0]: t2[i][0]}
lst.append(d(t1, t2))
print(lst)
# 2、输入一个英文句子,翻转句子中的单词顺序,但单词内字符的顺序不变
source = 'I feel no need for any other faith than my ... |
from autograd import grad
import autograd.numpy as np
#from LineSearch import LineSearch
from .BaseOptimizer import Optimizer
class DichotomousLineSearch(Optimizer):
"""Dichotomous search class for line optimization."""
def __init__(self, cost_function, interval, ftol=1e-8, max_iterations=1e3):
... |
# Generated by Django 2.1 on 2018-10-02 04:05
import decentmark.models
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('decentmark', '0005_submission_autofeedback'),
]
operations = [
migrations.AddField(
model_name='submissio... |
import geoacumen_city
import maxminddb
from flask import current_app
IP_ADDR_LOOKUP = maxminddb.open_database(
current_app.config.get("GEOIP_DATABASE_PATH", geoacumen_city.db_path)
)
def lookup_ip_address(addr):
try:
response = IP_ADDR_LOOKUP.get(addr)
return response["country"]["iso_code"]
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 25 16:03:08 2017
@author: alek
"""
import json
import uuid
import logging
import sys
import threading
import asyncio
import concurrent
from concurrent.futures import _base
from concurrent.futures import process
from functools import partial
from p... |
import math
import time
import warnings
from typing import Any, Dict, Optional, Type, Union
import gym
import numpy as np
import torch
from gym import spaces
from torch import optim
from torch.nn import functional as F
from paper_rl.architecture.ac.core import ActorCritic, count_vars
from paper_rl.common.buffer impor... |
# Start the services needed
raspi = Runtime.start("raspi","RasPi")
hat = Runtime.start("hat","AdafruitMotorHat4Pi")
m1 = Runtime.start("m1","MotorHat4Pi")
# Attach the HAT to i2c bus 1 and address 0x60
hat.attach("raspi","1","0x60")
# Use the M1 motor port and attach the motor to the hat
m1.setMotor("M1")
m1.attach("ha... |
# GENERATED BY KOMAND SDK - DO NOT EDIT
from .action import GetOffenseNoteById
|
import random
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
__author__ = "Marcin Stachowiak"
__version__ = "1.0"
__email__ = "marcin.stachowiak.ms@gmail.com"
def reduce_dim_PCA(X, Y, class_names, n_components=2, visualise=False):
if visualise:
pri... |
'''(Sliding Window using Two Pointers [M]): Given a String, find the longest
substring with unique characters. For example: "whatwhywhere" --> "atwhy" '''
def longestSubStringUnique(s):
start, end = 0, 0
maxlen = 1
hashMap = {}
hashMap[s[0]] = 0
res = [0, 0]
while end < len(s) ... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... |
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
This module provides a class used to describe the elastic tensor,
including methods used to fit the elastic tensor from linear response
stress-strain data
"""
import itertools
import warnings
import numpy as np
import sy... |
import string
def is_pangram(sentence=""):
s = str(sentence)
sen = list(set(s.lower()))
f = [c for c in sen if c in string.ascii_lowercase]
return len(f) == 26
|
from abc import (
abstractmethod,
)
import itertools
import logging
from types import TracebackType
from typing import (
Any,
Callable,
cast,
Dict,
List,
Optional,
Tuple,
Type,
Union,
)
from cached_property import cached_property
from eth_typing import (
Address,
)
from eth_... |
import cv2
import numpy as np
import random as rd
k = 2
while True :
img = np.zeros([768//k,1024//k])
img[rd.randint(0, 768)//k:, rd.randint(0, 1024)//k:] = 1
cv2.imshow("image", img)
cv2.waitKey(10) |
"""
WSGI config for indulgence project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_S... |
from frappe import _
def get_data():
return {
# 'heatmap': True,
'heatmap_message': _('This is based on the Time Sheets created against this project'),
'fieldname': 'design_project',
'transactions': [
{
'label': _('Design'),
'items': ['Task']
},
{
'label': _('Sales'),
'items': ['Sales... |
import sentencepiece as spm
from sklearn.model_selection import ShuffleSplit
from traceback import format_exc as _format_exc
s = spm.SentencePieceProcessor('data/jpa_wiki_100000.model')
#file1 = open('jyp_train.txt', 'r')
#Lines = file1.readlines()
# for i in Lines:
# print(i)
path_input_eng = 'data/English_2.... |
from dataclasses import dataclass
from typing import List, Optional
from dogia.types.blockchain_format.sized_bytes import bytes32
from dogia.types.blockchain_format.vdf import VDFInfo, VDFProof
from dogia.types.end_of_slot_bundle import EndOfSubSlotBundle
from dogia.types.full_block import FullBlock
from dogia.types.p... |
class MyHashMap:
def __init__(self):
self.hashMap = {}
def put(self, key: int, value: int) -> None:
self.hashMap[key] = value
def get(self, key: int) -> int:
if key in self.hashMap: return self.hashMap[key]
return -1
def remove(self, key: in... |
import cherrypy # CherryPy lightweight webframework. Install with: sudo pip install cherrypy
import datetime
import collections
# TODO: Expire users who haven't polled in a while, or set their status to 'away'.
# TODO: Expire messages older than X days.
class Message(object):
def __init__(self, sender, r... |
"""Support for restoring entity states on startup."""
from __future__ import annotations
from abc import abstractmethod
import asyncio
from datetime import datetime, timedelta
import logging
from typing import Any, TypeVar, cast
from homeassistant.const import ATTR_RESTORED, EVENT_HOMEASSISTANT_STOP
from homeassistan... |
# -*- coding: utf-8 -*-
"""
This module provides structures for annotating a given (single image) file with
labeled items.
"""
__classification__ = "UNCLASSIFIED"
__author__ = "Thomas McCullough"
import logging
import time
from collections import OrderedDict
import os
import json
from typing import Union, List, Any,... |
# from django.urls import path
#
# from .views import PostList, PostDetail, UserList, UserDetail
#
# urlpatterns = [
# path('users/', UserList.as_view()), # new
# path('users/<int:pk>/', UserDetail.as_view()),
# path('<int:pk>/', PostDetail.as_view()),
# path('', PostList.as_view())
# ]
from rest_fra... |
import threading
from PyQt4.Qt import (QDialog, QInputDialog, QLineEdit,
QVBoxLayout, QLabel, SIGNAL)
import PyQt4.QtCore as QtCore
from electrum.i18n import _
from .ledger import LedgerPlugin
from ..hw_wallet.qt import QtHandlerBase, QtPluginBase
from electrum_gui.qt.util import *
from btchip.... |
from conans import ConanFile, Meson, tools
from conans.errors import ConanInvalidConfiguration
import os
required_conan_version = ">=1.33.0"
class WaylandProtocolsConan(ConanFile):
name = "wayland-protocols"
description = "Wayland is a project to define a protocol for a compositor to talk to its clients as w... |
import pytest
from dynamo.entities import Visitor, itemToVisitor # pylint: disable=wrong-import-position
visitor_id = '171a0329-f8b2-499c-867d-1942384ddd5f'
def test_default_init():
visitor = Visitor( visitor_id )
assert visitor.id == visitor_id
assert visitor.numberSessions == 0
def test_numberSessions_init()... |
# coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
from ase.io import write as ase_write
import copy
import numpy as np
import warnings
from pyiron.atomistics.structure.... |
from __future__ import absolute_import, print_function, division
import os
import numpy as np
import theano
import theano.tensor as T
floatX = 'float32'
def test_graph_opt_caching():
opt_db_file = os.path.join(theano.config.compiledir, 'optimized_graphs.pkl')
if os.path.exists(opt_db_file):
os.remove... |
from abc import ABC, abstractmethod
__all__ = ["CWAttack"]
class CWAttack(ABC):
@abstractmethod
def attack(self, imgs, targets):
...
|
from blargh.engine import world
from .. import exceptions
class Instance():
def __init__(self, model, data={}, first=False):
'''Create instance with model MODEL.
Initial values will be set from DATA. DATA should contain "storage" values.
DATA might contain more values, i.e. database column... |
import fitz
doc = fitz.open("presentazione_cts.pdf")
for i in range(len(doc)):
for img in doc.getPageImageList(i):
xref = img[0]
pix = fitz.Pixmap(doc, xref)
if pix.n - pix.alpha < 4: # this is GRAY or RGB
pix.writePNG("p%s-%s.png" % (i, xref))
else: #... |
import math
import StringIO
import types
__pychecker__ = 'no-returnvalues'
WS = set([' ', '\t', '\r', '\n', '\x08', '\x0c'])
DIGITS = set([str(i) for i in range(0, 10)])
NUMSTART = DIGITS.union(['.', '-', '+'])
NUMCHARS = NUMSTART.union(['e', 'E'])
ESC_MAP = {'n': '\n', 't': '\t', 'r': '\r', 'b': '\x08', 'f': '\x0c'}
R... |
"""Support for SimpliSafe alarm control panels."""
import logging
import re
from simplipy.sensor import SensorTypes
from simplipy.system import SystemStates
from homeassistant.components.alarm_control_panel import (
FORMAT_NUMBER, FORMAT_TEXT, AlarmControlPanel)
from homeassistant.const import (
CONF_CODE, S... |
# List and running of tests using pytest framework
# (venv) C:\ukautom\t360\kurzus\pycharm\conduit\test_proj>
# pytest test_index_1.py --alluredir=./out
# allure serve ./out
import time
time.sleep(1)
def time_sl():
time.sleep(1)
# tcA001_run = A001 test case - New user registration with user name, email and pa... |
# Copyright (C) 2015-2022 by Vd.
# This file is part of Rocketgram, the modern Telegram bot framework.
# Rocketgram is released under the MIT License (see LICENSE).
from dataclasses import dataclass
from typing import Optional
@dataclass(frozen=True)
class PhotoSize:
"""\
Represents PhotoSize object:
ht... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
class ObddManager:
def __init__(self,var_count,use_cache=True): # ACACAC: use_cache
self.var_count = var_count
#self.ordering = ordering # ACAC
self.zero = ObddNode(is_terminal=True,sign=0,nid=0)
self.one = ObddNode(is_terminal=True,sign=1,nid=1)
self.id_counter = 2
#... |
class Solution:
def findNthDigit(self, n: int) -> int:
n -= 1
for digit in range(1, 11):
first = 10 ** (digit - 1)
if n < 9 * first * digit:
return int(str(first + n / digit)[n % digit])
n -= 9 * first * digit
|
from django.urls import path, re_path, include
from .views import blog_home_page,post_detail, posts_categories_partial, posts_by_category, search_posts_view
urlpatterns = [
path('blog', blog_home_page),
path('tag/<tag_slug>/', blog_home_page),
# path('blog/notfound', search_result_none),
path('blog/<po... |
# ------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -------------------------------------------------------------------... |
# =============================================================================
# Automated trading script I - MACD
# Author : Mayank Rasu
# Please report bug/issues in the Q&A section
# =============================================================================
import fxcmpy
import numpy as np
from stocktrends imp... |
from mx.DateTime import ISO
class AnyClass:
pass
date = ISO.ParseDateTime('2002-01-01 00:00:00')
rubish = AnyClass()
if date == rubish: print "Oh Dear"
else: print "hurrah!"
class AnyClass:
def __coerce__(self, other):
print 'coerce %s and %s' % (repr(self), repr(other))
print date + rubish
#print ... |
# coding: utf-8
""" MIT License """
'''
Axel Masquelin & Sami Connolly
Andrea Elhajj & Thayer Alshaabi
---
Description:
Misceleanous functions to assist in the evaluation of individuals, creating visuals,
and csv file save.
---
Copyright (c) 2018
'''
# libraries and dependencies
# ... |
# Copyright 2018 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... |
from django.apps import AppConfig
class UserConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = 'api.user'
|
# Module to aid with Nanoleaf discovery
import socket
def discover_devices(timeout=30, debug=False):
"""
Discovers Nanoleaf devices on the network using SSDP
:param timeout: The timeout on the search in seconds (default 30)
:param debug: Prints each device string for the SSDP discovery
:returns: ... |
from unittest.mock import Mock
import colander
import pytest
from h.schemas.validators import Email
class TestEmail:
@pytest.mark.parametrize(
"email",
[
"jimsmith@foobar.com",
"international@xn--domain.com",
"jim.smith@gmail.com",
"jim.smith@foo.b... |
'''
Created on May 25, 2018
@author: nishant.sethi
'''
n=5
p=1/3
result=0
for i in range(1,6):
result+=(1-p)**(i-1)*p
print(round(result,3)) |
import colorsys
import imghdr
import os
import random
from keras import backend as K
import numpy as np
from PIL import Image, ImageDraw, ImageFont
def read_classes(classes_path):
with open(classes_path) as f:
class_names = f.readlines()
class_names = [c.strip() for c in class_names]
... |
"""Base driver module to inherit from."""
from selenium.webdriver.common.by import By
class BaseDriver(object):
"""Base driver that will be called from all pages and elements."""
# pylint: disable=too-few-public-methods
GENERIC_DIV = (By.TAG_NAME, 'div')
DEFAULT_TIMEOUT = 30
def __init__(self, driver):
... |
#!/usr/bin/env python3
from pyparsing import *
import ebnf
ParserElement.enablePackrat()
singleRawString = QuotedString(quoteChar='@"', endQuoteChar='"')
doubleRawString = QuotedString(quoteChar='@@"', endQuoteChar='"@@', multiline=True)
rawString = singleRawString | doubleRawString
table = {
# Non-greedy trick... |
#
# Copyright 2019 BrainPad Inc. All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, me... |
# This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains t... |
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