text stringlengths 2 999k |
|---|
# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..featuredetection import DistanceMaps
def test_DistanceMaps_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
... |
# (C) Copyright 2016-2017 Hewlett Packard Enterprise Development LP
#
# 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 ap... |
import json
import pytest
from model_mommy import mommy
from rest_framework import status
from usaspending_api.awards.models import Cfda
@pytest.fixture
def cfda_data(db):
mommy.make(
Cfda,
program_number="10.117",
popular_name="Biofuel Infrastructure Partnership (BIP)",
program_... |
"""
WSGI config for discoreg 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/3.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETT... |
import tkinter
class ConfirmView:
__DESCRIPTIONBORDER = 10
__DESCRIPTIONROW = 0
__BUTTONPADDING = 5
__NAMECOLUMN = 1
def __center(self):
self.__root.withdraw()
self.__root.update_idletasks()
x = (self.__root.winfo_screenwidth() - self.__root.winfo_reqwidth()) / 2
y =... |
# Copyright 2018 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..utils import CreateJacobianDeterminantImage
def test_CreateJacobianDeterminantImage_inputs():
input_map = dict(args=dict(argstr='%s',
),
deformationField=dict(argstr='%s',
mandatory=True,
position=... |
#!/usr/bin/env python
import lsgtuner
import re
import opentuner
import os
import tuning_params
class mst(lsgtuner.LSGBinary):
binary = "./mst"
inputs = ['../../inputs/USA-road-d.FLA.sym.gr', '../../inputs/rmat12.sym.gr']
params = [lsgtuner.IntegerStepParameter('FINDCOMPMINTWO_BLKSIZE', 32, 384, 32),
... |
# Serializes issued currency amounts from string number representations,
# matching the precision of the SGY Ledger.
from decimal import getcontext, Decimal
class IssuedAmount:
MIN_MANTISSA = 10**15
MAX_MANTISSA = 10**16 - 1
MIN_EXP = -96
MAX_EXP = 80
def __init__(self, strnum):
... |
from __future__ import division
import argparse
from mmcv import Config
from mmcv.runner import load_checkpoint
from mmfashion.apis import (get_root_logger, init_dist,
test_geometric_matching, test_tryon)
from mmfashion.datasets.utils import get_dataset
from mmfashion.models import build_g... |
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from textwrap import dedent
from pants.backend.jvm.register import build_file_aliases as register_jvm
from pants.backend.project_info.tasks.depmap import Depmap
from pants.backend.python.... |
from bitcoin import random_key, privtopub, pubtoaddr
private_key = random_key()
print("Randomly Generated Private Key: " + private_key)
public_key = privtopub(private_key)
print("Derived from Private Key, Public Key: " + public_key)
address = pubtoaddr(public_key)
print("Bitcoin Address: " + address)
|
#!/usr/bin/python3
import errno
import os
import shutil
import tempfile
from .ExceptionDefinitions import *
VERSION_NUMBER = "3.4.0"
HELP_EMAIL = 'help@opensciencegrid.org'
def atomic_write(filename, contents):
"""Write to a temporary file then move it to its final location
"""
temp_fd, temp_name = tem... |
# This entry is mostly for convenience for add-on developers
from .interface import *
from .registrar import *
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
# Export this package's modules as members:
from .config import *
from .variavble import *
|
from hpctool import ComsolModel, Task, Solver
import numpy as np
from utils import grid, pretty_print_individual, get_multipoles_from_res
import os
import sys
from loguru import logger
from typing import List, Dict
from scipy.optimize import differential_evolution
import logging
class SquaresModel(ComsolModel):
d... |
#!python3
import glob, csv, sys, os, argparse, gzip
from datetime import datetime, timedelta, timezone
from queue import PriorityQueue, Empty
def eprint(*args, **kwargs): print(*args, file=sys.stderr, **kwargs)
def noprint(*args, **kwargs): pass
try:
from lxml import etree
except ImportError:
eprint("ERROR: m... |
from __future__ import annotations, print_function, unicode_literals
import asyncio
import csv
import json
import os
from typing import Iterator
import aiohttp
import aiohue
import asyncstdlib as a
import tuyapower
from aiohue.lights import Light
from PyInquirer import prompt
MODE_HS = "hs"
MODE_COLOR_TEMP = "color_... |
import ROOT as rt
def tdrGrid( gridOn):
tdrStyle.SetPadGridX(gridOn)
tdrStyle.SetPadGridY(gridOn)
#fixOverlay: Redraws the axis
def fixOverlay(): gPad.RedrawAxis()
def setTDRStyle():
tdrStyle = rt.TStyle("tdrStyle","Style for P-TDR")
#for the canvas:
tdrStyle.SetCanvasBorderMode(0)
tdrSt... |
"""Simulate ARFIMA process.
This module allows simulation of the ARFIMA(p, d, q) processes:
AR(B) (1-B)^d x = MA(B) epsi .
If d = 1, the process becomes ARMA(p, q) process:
x[t] = ar[1]*x[t-1] + ar[2]*x[t-2] + ... + ar[p]*x[t-p] +
+ ma[1]*epsi[t-1] + ma[2]*epsi[t-2] + ... + ma[q]*epsi[t-q] +
... |
#!/usr/bin/env python
import urllib
import urllib2
import json
import os
import re
from flask import Flask
from flask import request
from flask import make_response
# Flask app should start in global layout
app = Flask(__name__)
intent_name="string"
QR=['0','1','2','3','4','5','6']
@app.route('/webhook', methods=[... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('contracts', '0014_auto_20150720_2020'),
migrations.swappable_depend... |
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import os
import sys
import math
ranked_papers = pd.read_pickle('dblp_final_paper_rankings.pickle')
keep_cols = ['authors', 'year', 'normalized_citation_score_scaled','SJR_Normalized','reach_normalized','id'... |
"""
测试套件加载测试用例的方法
"""
import sys
from os.path import abspath,dirname
sys.path.insert(0,dirname(dirname(abspath(__file__))))
import unittest
from test_framework.unittest_demo.testcases.test_register import TestRegister
from test_framework.unittest_demo.testcases import TestLogin
#加载单个测试用例
def suite1():
# 测试套件
... |
import numpy as np
from tqdm import tqdm
from math import comb
from gamexplainer import GamExplainer
import lightgbm as lgbm
import json
def main():
with open("config.json") as f:
config_dict = json.load(f)
model_path = config_dict["model_path"]
feat_sel_out = config_dict["feat_sel_out"]
... |
def binary_search(a,k, low, high):
mid = (low+high)//2
if len(a[low:high+1]) <=1:
# print(a[low:high+1], a[0])
if a[mid] == k:
return mid
else:
return -1
if a[mid] == k:
return mid
elif a[mid] >= k:
return binary_search(a,k,low, mid... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from filer.help import _help
from leaderf.utils import lfCmd, lfEval
@_help.help("move the cursor upward")
def command__down(manager):
lfCmd("normal! j")
manager._previewResult(False)
@_help.help("move the cursor downward")
def command__up(manager):
lfCmd("... |
# login script
import sys
import time
import uiautomator2 as u2
def wait(seconds=10):
for i in range(0, seconds):
print("wait 1 second ..")
time.sleep(1)
if __name__ == '__main__':
avd_serial = sys.argv[1]
d = u2.connect(avd_serial)
# d.WAIT_FOR_DEVICE_TIMEOUT = 70
d.app_start("... |
# -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Organization'
db.create_table(u'account_organization', (
... |
""" define the IntervalIndex """
from __future__ import annotations
from functools import wraps
from operator import (
le,
lt,
)
import textwrap
from typing import (
TYPE_CHECKING,
Any,
Hashable,
cast,
)
import numpy as np
from pandas._config import get_option
from pandas._libs import lib
fr... |
from .base_element import BaseElement
from ....utilities.datamodel import Element
class TimeFrame(BaseElement):
def __init__(self, element: Element):
super().__init__(element)
@property
def start(self):
return self._element['start']
@property
def duration(self):
return se... |
class Buffer:
def __init__(self):
self._buffer = bytearray()
def write(self, data: bytes):
self._buffer.extend(data)
def read(self, size: int):
data = self._buffer[:size]
self._buffer[:size] = b""
return data
def peek(self, size: int):
return self._buf... |
import operator
from uuid import uuid4
from ee.clickhouse.models.event import create_event
from ee.clickhouse.queries.funnels.funnel import ClickhouseFunnel
from ee.clickhouse.queries.funnels.funnel_persons import ClickhouseFunnelPersons
from ee.clickhouse.queries.funnels.test.breakdown_cases import funnel_breakdown_t... |
# %% Packages
import os
import tensorflow as tf
from typing import Tuple
from tensorflow.keras.callbacks import TensorBoard, EarlyStopping
# %% Callbacks
# Loading callbacks
def load_callbacks(
name: str, monitor: str, patience: int
) -> Tuple[TensorBoard, EarlyStopping]:
tensorboard = load_tensorboard(name... |
"""
Tests that work on both the Python and C engines but do not have a
specific classification into the other test modules.
"""
import codecs
from collections import OrderedDict
import csv
from datetime import datetime
from io import BytesIO, StringIO
import os
import platform
from tempfile import TemporaryFile
impor... |
import dis
import inspect
import sys
from collections import namedtuple
from _pydev_bundle import pydev_log
from _pydevd_bundle.pydevd_constants import (IS_PY38_OR_GREATER,
dict_iter_items, dict_iter_values)
from opcode import (EXTENDED_ARG, HAVE_ARGUMENT, cmp_op, h... |
#!/usr/bin/python
# This Python file uses the following encoding: utf-8
'''
@author: Federico Tersigni
'''
import justpy as jp
import sys
from Model.Run import Run
from Model.Directory import Directory
from Template.icons.iconList import startIcon
from Template.icons.iconList import filtroIcon
from Template.icons.ico... |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import torch
from detectron2.utils.env import TORCH_VERSION
from detectron2.utils.file_io import PathManager
from .torchscript_patch import freeze_training_mode, patch_instances
def export_torchscript_with_instances(model, fields):
"""
Run :func:... |
#!/usr/bin/env python3
# Copyright (c) 2019 The Khronos Group Inc.
# SPDX-License-Identifier: Apache-2.0
from itertools import product
from shared import PLATFORMS, TRUE_FALSE, VS_VERSION, make_win_artifact_name
if __name__ == "__main__":
for platform, uwp in product(PLATFORMS, TRUE_FALSE):
print(make_w... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2014 Love Sharma <contact@lovesharma.com>
#
# 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/LI... |
from tests import MISTRAL_TEST_DIR, run_tests, run_train_process
# paths
CACHE_DIR = f"{MISTRAL_TEST_DIR}/artifacts"
RUNS_DIR = f"{MISTRAL_TEST_DIR}/runs"
TRAIN_ARGS = {
"nnodes": "1",
"nproc_per_node": "1",
"config": "conf/train.yaml",
"training_arguments.fp16": "true",
"training_arguments.per_d... |
import datetime
import math
import random
import pandas as pd
import gym
import numpy as np
from gym import spaces
from stable_baselines3.common.vec_env import DummyVecEnv
from .util.log_render import render_to_file
from .util.plot_chart import TradingChart
class tgym(gym.Env):
"""forex/future/option trading g... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@file : model.py
@author: zijun
@contact : zijun_sun@shannonai.com
@date : 2020/11/17 14:57
@version: 1.0
@desc :
"""
import torch
from torch import nn
from transformers import AutoModel, AutoConfig
from datasets.collate_functions import collate_to_max_length
cla... |
import numpy as np
def layer_init_uniform(*x):
ret = np.random.uniform(-1., 1., size=x) / np.sqrt(np.prod(x))
return ret.astype(np.float32)
def fetch(url):
import requests, os, hashlib, tempfile
fp = os.path.join(tempfile.gettempdir(),
hashlib.md5(url.encode('utf-8')).hexdigest... |
'''
LeetCode No.64
Given a m x n grid filled with non-negative numbers,
find a path from top left to bottom right which minimizes
the sum of all numbers along its path.
Note: You can only move either down or right at any point in time.
Input:
[
[1,3,1],
[1,5,1],
[4,2,1]
]
Output: 7
Explanation: Because the pat... |
import numpy as np
import numbers
from manimlib.constants import *
from manimlib.mobject.functions import ParametricCurve
from manimlib.mobject.geometry import Arrow
from manimlib.mobject.geometry import Line
from manimlib.mobject.geometry import DashedLine
from manimlib.mobject.geometry import Rectangle
from manimlib... |
default_app_config = 'emailapp.apps.EmailappConfig' |
import io
from typing import Union, Any
import pytest
from revpbuf import core
def test_read_varint_normal_input() -> None:
input1 = io.BytesIO(b"\x01")
input2 = io.BytesIO(b"\x7f")
input3 = io.BytesIO(b"\xff\x01")
input4 = io.BytesIO(b"\xff\xff\xff\xff\xff\xff\xff\xff\xff\x01")
input5 = io.Byte... |
# coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 3
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from isi_sdk_8_0.models.pools_poo... |
#!/usr/bin/python3
def check_brackets_match(text):
"""
Checks, whether brackets in the given string are in correct sequence.
Any opening bracket should have closing bracket of the same type.
Bracket pairs should not overlap, though they could be nested.
Returns true if bracket sequence is correct... |
# coding: utf-8
import numpy as np
import chainer
import chainer.functions as F
import testtools
import numpy as np
class A(chainer.Chain):
def forward(self):
y1 = np.zeros((3, 4), dtype=np.float32)
return y1
# ======================================
def main():
testtools.generate_testcase(... |
from __future__ import print_function
import re
import sqlparse
from sqlparse.sql import IdentifierList, Identifier, Function
from sqlparse.tokens import Keyword, DML, Punctuation
cleanup_regex = {
# This matches only alphanumerics and underscores.
'alphanum_underscore': re.compile(r'(\w+)$'),
... |
from model.group import Group
import allure
def test_add_group(app, db, json_groups):
group = json_groups
with allure.step('Given a group list'):
old_groups = db.get_group_list()
with allure.step('When I add a group %s to the list' % group):
app.group.create(group)
with allure.step('Th... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2017 The etcd Authors
# 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 requ... |
from django import forms
from markedit.widgets import MarkEdit
from pycon.models import PyConTalkProposal
from pycon.forms import PyConProposalForm
class PyConJPTalkProposalForm(PyConProposalForm):
class Meta:
model = PyConTalkProposal
fields = [
"title",
"category",
... |
from flask import request
from app.errors import bp
from app import db
import elasticsearch
import sentry_sdk
from .errors import NatlasServiceError, NatlasSearchError
from .responses import get_response, get_supported_formats
def build_response(err: NatlasServiceError):
selected_format = request.accept_mimetype... |
# Copyright 2014 IBM Corp.
#
# 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 agree... |
# MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# 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, ... |
# Generated by Django 2.0.6 on 2019-01-26 20:42
import cloudinary.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_US... |
# Show, Attend and Tell Captioning Lightning Module
# Author: Ali Gholami (https://aligholami.github.io)
import torch.nn as nn
from itertools import chain
import torch.optim as optim
from torchvision import transforms
from lib.data.vocab import VocabTools
from torch.utils.data import DataLoader
from lib.callbacks impor... |
"""
Copyright 2019 EUROCONTROL
==========================================
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions an... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import os
import shutil
json_file = "splitcores.json"
rbf_files = []
rbf_location = "/media/fat"
# fid all rbf files
print("Scanning {} for core files ...".format(rbf_location))
for root,d_names,f_names in os.walk(rbf_location):
for filename in f_names:... |
# -*- coding: utf-8 -*-
"""
处理Markdown文件，自动加入Hexo博客所需标签等信息，自动加入"阅读更多"分割线
详细步骤：
1. 处理文件夹下文件名称
2. 在文件头部插入标签等信息
3. 在文件中间某行插入分隔符<!-- more -->
"""
import os
path = "/Users/yangzhendong/Desktop/blog"
files = os.listdir(path)
datanames = os.listdir(path)
for file_name in datanames:
# 只取文件名
file_name_real = file_n... |
import unittest
import attr
from itemadapter import ItemAdapter
from itemloaders.processors import Compose, Identity, MapCompose, TakeFirst
from scrapy.http import HtmlResponse, Response
from scrapy.item import Item, Field
from scrapy.loader import ItemLoader
from scrapy.selector import Selector
try:
from datac... |
from binance_f.model.order import *
from binance_f.model.exchangeinformation import ExchangeInformation
from binance_f.base.printobject import *
from Settings import *
from colorama import *
from Methods import get_sl, get_tp
def on_seconds(client, pos, exchange_info: ExchangeInformation, acc_balance: float):
# T... |
#!/usr/bin/env python
#-------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#----------------------------------------------------------------... |
import sys
data = sys.stdin.read()
transitions = {
1: {
'U': 1,
'D': 4,
'L': 1,
'R': 2
},
2: {
'U': 2,
'D': 5,
'L': 1,
'R': 3
},
3: {
'U': 3,
'D': 6,
'L': 2,
'R': 3
},
4: {
'U': 1,
'D': 7,
'L': 4,
'R': 5
},
5: {
... |
import os
import re
import shutil
def delete_all(delete_path):
if not os.listdir(delete_path):
pass
else:
for i in os.listdir(delete_path):
path_file = os.path.join(delete_path, i)
if os.path.isfile(path_file):
os.remove(path_file)
else:
... |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... |
"""
Django settings for auladocker project.
Generated by 'django-admin startproject' using Django 3.1.2.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from path... |
from setuptools import setup, find_packages
setup(
name='getl',
version='0.3',
description='',
long_description=open('README.rst').read(),
url='https://github.com/gregology/getl',
author='Greg Clarke',
author_email='greg@gho.st',
license='MIT',
classifiers=[
'Development Status :: 4 - Beta',
... |
import os
import shutil
import json
def check_true(option):
"""Check if option is true.
Account for user inputting "yes", "Yes", "True", "Y" ...
"""
option = option.lower()
if 'y' in option or 't' in option:
return True
else:
return False
def process_bibtex(bibtex, tex_root):
... |
"""
@brief test log(time=65s)
"""
import os
import unittest
from logging import getLogger
from pandas import DataFrame
from pyquickhelper.loghelper import fLOG
from pyquickhelper.pycode import get_temp_folder, ExtTestCase
from sklearn.exceptions import ConvergenceWarning
from sklearn.utils.testing import ignore_wa... |
import os, sys
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
import numpy as np
import cv2 as cv
import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras.callbacks import ModelCheckpoint, LearningRateScheduler, EarlyStopping, TensorBoard
from net import *
from tensorflow.keras.optimizers imp... |
##############################################################################
# Copyright (c) 2015 Huawei Technologies Co.,Ltd. and others
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, ... |
from module.load import *
from module.utility import *
if __name__ == "__main__":
arguments = input_arg()
Data_transformer(download=arguments['Download'])
|
num1 = 10
num2 = 20
num3 = 30
print('hello world')
|
import numba as nb
import numpy as np
import cupy
@nb.cuda.jit
def _triangulate_terrain_kernel(verts, triangles, data, H, W, scale, stride):
global_id = stride + nb.cuda.grid(1)
if global_id < W*H:
h = global_id // W
w = global_id % W
mesh_map_index = h * W + w
val = data[h, -... |
# Generated by Django 4.0.2 on 2022-02-28 23:57
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
dependencies = [
('users', '0003_rename_is_win_gameparticipation_is_alive_and_more'),
]
operations = [
migrations.RemoveField(
model_na... |
from myqueue import CheckableQueue
def bfs(start, bases, players):
# a FIFO open_set
open_set = CheckableQueue()
# an empty set to maintain visited nodes
closed_set = set()
# a dictionary to maintain meta information (used for path formation)
meta = dict() # key -> (parent state, action to rea... |
import sys
import logging
from time import sleep
from functools import wraps
import requests
from nebula.conf import NEBULA_API_URL, API_KEY, _init_conf_file
##################### API CALLS ######################
LOGIN = 'login'
GET = 'get'
DESTROY = 'destroy'
STATUS = 'provisioning-status'
LIST = 'list'
###########... |
import os
import sys
import time
import signal
import logging
import argparse
class BaseApp:
def __init__(self, desc, ver_num):
signal.signal(signal.SIGINT, self.sig_handler)
signal.signal(signal.SIGTERM, self.sig_handler)
self.quit_flag = False
sfile = sys.argv[0]
ver = ("... |
"""Herewithin lies the ability for ansible-runner
to run the ansible-doc command
"""
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
from ansible_runner import get_plugin_docs # type: ignore[import]
from .base impor... |
import pprint as pp
def allConstruct(target, word_bank, memo=None):
'''
input: target- String
word_bank- array of Strings
output: 2D array containing all of the ways that the target can be
constructed by concatenating elements of the word_bank array. Each element of the 2D array should represent one combin... |
import os
import csv
class Logger(object):
''' Logger saves the running results and helps make plots from the results
'''
def __init__(self, log_dir):
''' Initialize the labels, legend and paths of the plot and log file.
Args:
log_path (str): The path the log files
''... |
class Solution:
def findAnagrams(self, s: str, p: str) -> List[int]:
inputHash, strStart, firstPsum, currHash, res = 0, 0, 0, 0, []
if len(s) < len(p):
return []
for subStr in p:
inputHash += hash(subStr)
for i in range(len(p)):
firstPsum += hash(... |
"""
MapPlot
-------
Make plots of the cube and interactively connect them to spectrum plotting.
This is really an interactive component of the package; nothing in here is
meant for publication-quality plots, but more for user interactive analysis.
That said, the plotter makes use of `APLpy <https://github.com/aplpy/a... |
#coding:utf-8
#author:wolf@future-sec
import urllib2
def check(host,port,timeout):
url = "http://%s:%d"%(host,int(port))
vul_url = url + '/%3f.jsp'
try:
res_html = urllib2.urlopen(vul_url,timeout=timeout).read()
except:
return 'NO'
if "<h1>Directory of" in res_html:
info = vu... |
import unittest
import uuid
import gtirb
class NodeFromUUIDTest(unittest.TestCase):
def test_get_by_uuid_failed(self):
bad_id = uuid.uuid4()
node = gtirb.IR().get_by_uuid(bad_id)
self.assertIsNone(node)
def test_get_by_uuid(self):
ir1 = gtirb.IR()
ir2 = gtirb.IR()
... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# flake8: noqa
from __future__ import absolute_import
from __future__ import print_function
import io
from os import path
from setuptools import setup
from setuptools.command.develop import develop
from setuptools.command.install import install
here = path.abspath(pat... |
"""distutils.command.build_ext
Implements the Distutils 'build_ext' command, for building extension
modules (currently limited to C extensions, should accommodate C++
extensions ASAP)."""
import contextlib
import os
import re
import sys
from distutils.core import Command
from distutils.errors import *
from distutils.... |
#!/usr/bin/env python
# Copyright 2016 Google Inc. 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... |
#encoding: utf-8
import logging
import time
# time.time()返回1970/1/1日起的时间戳的（单位是秒）
from .base import BasePlugin
logger = logging.getLogger(__name__)
class Heartbeat(BasePlugin):
def __init__(self, config, *args, **kwargs):
super(Heartbeat, self).__init__(config, 'heartbeat', 10, *args, **kwargs)
def... |
# Copyright 2020 The TensorFlow Authors. 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
# coding=utf-8
import pandas as pd
import numpy as np
import sys
import os
import tushare as ts
import matplotlib.pyplot as plt
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
ts.plot()
ts.figure() |
#### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Tangible()
result.template = "object/tangible/ship/components/weapon_capacitor/shared_cap_mandal_powermaster_mk1.i... |
import argparse
import glob
import sys
from functools import partial
import cv2
from multiprocess import Pool
sys.path.append("../.")
from boxdetect import config # NOQA E402
from boxdetect.pipelines import get_boxes # NOQA E402
if __name__ == "__main__":
# construct the argument parse and parse the arguments... |
#!/usr/bin/env python3
import gym
from collections import namedtuple
import numpy as np
from tensorboardX import SummaryWriter
import torch
import torch.nn as nn
import torch.optim as optim
HIDDEN_SIZE = 128
BATCH_SIZE = 16
PERCENTILE = 70
class Net(nn.Module):
def __init__(self, obs_size, hidden_size, n_actio... |
""" Inception model.
"""
import numpy as np
import tensorflow as tf
import six
from net import Net
import ops
class Inception(Net):
""" Inception model. """
def __init__(self, cfgs, images, labels, mode='train', multi_gpu_mode=False):
""" ResNet constructor. """
Net.__init__(self, cfgs, image... |
from django.core.management.base import BaseCommand
from django.utils import timezone
#from mooring.models import RegisteredVessels
from mooring import models
from django.db.models.functions import Length
from mooring.emails import send_registered_vessels_email
from datetime import datetime
import json
from datetime ... |
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