text stringlengths 2 999k |
|---|
import binascii
import errno
import hashlib
import inspect
import logging
import numpy as np
import os
import six
import subprocess
import sys
import tempfile
import threading
import time
import uuid
import ray
import ray.gcs_utils
import ray.ray_constants as ray_constants
import psutil
logger = logging.getLogger(__n... |
# @Copyright 2007 Kristjan Haule
from scipy import *
from scipy import interpolate
import os,sys
import occupi
import occupr
def FindSignChange(fComputeCharge, old_mu, sdmu, fh_info, args):
""" Routine brackets the chemical potential.
Input:
old_mu -- start of looking for mu
... |
from typing import Optional, Sequence
# The point of this one is to remove ALL the batchnorms.
import larq as lq
import numpy as np
import tensorflow as tf
from zookeeper import Field, factory
from larq_zoo.core import utils
from larq_zoo.core.model_factory import ModelFactory
from customRenorm import ReluNormalRe... |
#!/usr/bin/env python3
# /***************************************************************************
#
# @package: panda_siimulator_examples
# @metapackage: panda_simulator
# @author: Saif Sidhik <sxs1412@bham.ac.uk>
#
# **************************************************************************/
# /*************... |
from flask import jsonify
from . import api
def bad_request(message):
response = jsonify({'error': 'bad request', 'message': message})
response.status_code = 400
return response
def unauthorized(message):
response = jsonify({'error': 'unauthorized', 'message': message})
response.status_code = 40... |
from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7
from KratosMultiphysics import *
import KratosMultiphysics.PfemFluidDynamicsApplication as PfemFluid
from KratosMultiphysics import gid_output_process
class GiDOutputProcess(gid_output... |
"""
Hidden Shift Benchmark Program - Qiskit
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = [ "_common", "_common/qiskit" ]
sys.path[1:1] = [ "../../_common", "../../_common/qiskit" ]
import execute as ex
import metrics as metrics
n... |
import time
import sys
sys.path.append('../classes')
from WiiMote import WiiMote
wiimote = WiiMote(None)
wiimote.init()
def handlerAButton():
print('A button pressed')
wiimote.on(wiimote.WIIMOTE_KEYS['A'], handlerAButton)
while True:
button_delay = 0.25
time.sleep(button_delay)
# buttons = wii.state['b... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Using ciscoconfparse find the crypto maps that are not using AES (based-on the
transform set name). Print these child entries.
"""
from ciscoconfparse import CiscoConfParse
cisco_cfg = CiscoConfParse("cisco_config.txt")
crypto_maps_not_AES = cisco_cfg.find_objects_wo_... |
'''Plots a semi-log x axis against a linear y-axis.
It is, I think, only used for perturbation size, as it reflects
the underlying physics of that behaviour, but I've split it up
for clarity. Both bits do quite a lot of stuff.'''
from linear_plot import linear_plot
import matplotlib.pyplot as plt
import numpy as np
... |
import os
import trimesh
import numpy as np
from urdfpy import URDF
try:
from vgn.ConvONets.utils.libmesh import check_mesh_contains
except:
print('import libmesh failed!')
n_iou_points = 100000
n_iou_points_files = 10
## occupancy related code
def as_mesh(scene_or_mesh):
"""
Convert a possible scene ... |
'''
This file holds the agents.
'''
import random, copy, collections
from objects import Object
from perception import *
from comms import *
import numpy as np
from scipy import spatial
import uuid
# ______________________________________________________________________________
class Agent(Object):
'''
An Ag... |
from typing import List
def merge_sort(input: List):
length = len(input)
for step in range(1, length):
key = input[step]
j = step - 1
while j >= 0 and key < input[j]:
input[j+1] = input[j]
j = j - 1
input[j+1] = key ... |
"""
URLify: write a method to replace all spaces in the string with %20
"""
def URLify(s):
"""
:param s: string with enough space. in python we dont need this constraint as there is no constraint in the string ds
:type s: str
:return: string with replaced value
:rtype: str
"""
return s.rep... |
import sys
from string import String
from matrix import *
from math import *
def display_key(key):
lines = 0
cols = 0
while lines != key.lines:
cols = 0
while cols != key.cols:
print (key.matrice[lines][cols], end = '')
if cols + 1 != key.cols:
print (" ", end = '')
cols = cols + 1
print ()
lin... |
import csv
import os
DIR = 'MTA_Subway_turnstile'
def fix_turnstile_data(filenames):
"""
Filenames is a list of MTA Subway turnstile text files. A link to an example
MTA Subway turnstile text file can be seen at the URL below:
http://web.mta.info/developers/data/nyct/turnstile/turnstile_110507.txt
... |
"""
A collection of classes which aid in serializing data types.
"""
import importlib
import inspect
import json
from abc import ABC, abstractmethod
from enum import Enum
import numpy as np
from propertyestimator import unit
from propertyestimator.utils.quantities import EstimatedQuantity
def _type_string_to_objec... |
# Authors:
#
# Giorgio Patrini
#
# License: BSD 3 clause
import warnings
import itertools
import numpy as np
import numpy.linalg as la
from scipy import sparse, stats
from scipy.sparse import random as sparse_random
import pytest
from sklearn.utils import gen_batches
from sklearn.utils._testing import ass... |
m = float(input('Coloque uma distância em metros: '))
cm = m * (10 ** 2)
nm = m * (10 ** 3)
print('O valor em metros {}\nVira {}cm,\nE {}mm'.format(m, cm, nm)) |
#!/usr/bin/env python3
#-*- Coding: utf-8 -*-
"""
NAME: _PYTHON_LEARNING_While_Loops.py
VERSION: None
AUTHOR: Jesse Leverett (CyberThulhu)
STATUS: Building Initial code framework
DESCRIPTION: Collection Learning While Loops
TO-DO:
USAGE:
COPYRIGHT © 2021 Jesse Leverett
"""
|
#!/usr/bin/env python
"""
Copyright (c) 2006-2016 sqlmap developers (http://sqlmap.org/)
See the file 'doc/COPYING' for copying permission
"""
import re
from xml.sax.handler import ContentHandler
from lib.core.common import sanitizeStr
class FingerprintHandler(ContentHandler):
"""
This class defines methods... |
class WebPageStatus:
def __init__(self, url, ua_type, status_code, location):
self.url = url
self.ua_type = ua_type
self.status_code = status_code
self.location = location
def output(self):
return self.url + ',' + self.ua_type + ',' + str(self.status_code) + ',' + self.location
|
#
# Example MQTT client using paho-mqtt
#
import os
import time
import struct
import binascii
import paho.mqtt.client as paho
# binary payload format we use in this example:
# unsigned short + signed int + 8 bytes (all big endian)
FORMAT = '>Hl8s'
if False:
# topic we subscribe to. this is ending with a single... |
import os
import shutil
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
import yaml
from chives import __version__
from chives.consensus.coinbase import create_puzzlehash_for_pk
from chives.ssl.create_ssl import (
ensure_ssl_dirs,
generate_ca_signed_cert,
get_chives_ca_crt_key... |
def odd_even_equation(numbers, command):
if command == 'Odd':
print(sum([x for x in numbers if x % 2 != 0]) * len(numbers))
else:
print(sum([x for x in numbers if x % 2 == 0]) * len(numbers))
command = input()
nums = [int(x) for x in input().split()]
odd_even_equation(nums, command) |
#!/usr/bin/env python
"""
Copyright 2019 Amazon.com, Inc. or its affiliates. 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 lim... |
import torch
from torch.utils.tensorboard import SummaryWriter
import sys
import os
sys.path.append(os.getcwd())
from loss_functions import RBFClassifier, AAML, CircleLoss, Model, ModelArc
from data_load import get_loader, get_channels, get_num_classes
import numpy as np
import torch.optim as optim
import torch
impor... |
"""
Copyright 2017, Silas Gyger, silasgyger@gmail.com, All rights reserved.
Borrowed from https://github.com/Nearoo/pygame-text-input under the MIT license.
"""
import os.path
import pygame
import pygame.locals as pl
pygame.font.init()
class TextInput:
"""
This class lets the user input a piece of text, e... |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: streamlit/proto/ArrowVegaLiteChart.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _ref... |
from django.db import models
# Create your models here.
class Endpoint(models.Model):
'''
The Endpoint object represents ML API endpoint.
Attributes:
name: The name of the endpoint, it will be used in API URL,
owner: The string with owner name,
created_at: The date when endpoint w... |
import asyncio
import copy
import logging
import os
import random
import shutil
import ssl
import sys
import tempfile
import time
from argparse import Namespace
from dataclasses import replace
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Tuple
from blspy import AugSchemeMPL, G1Eleme... |
import torch
from dexpression_pytorch.cnn_model.dexpression import Dexpression
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def initialize():
"""
Loads model parameters into cuda.
Returns
-------
model : object
The convolutional neural network to be trained.
... |
# Adopted from
# https://github.com/pytorch/fairseq/blob/master/fairseq/distributed_utils.py
import pickle
import torch
MAX_SIZE_LIMIT = 65533
BYTE_SIZE = 256
def enc_obj2bytes(obj, max_size=4094):
"""
Encode Python objects to PyTorch byte tensors
"""
assert max_size <= MAX_SIZE_LIMIT
byte_tens... |
import os
import time
import copy
import datetime
import json
from argparse import ArgumentParser
from pprint import pformat
import logging
import shutil
import torch
import numpy as np
from torch.utils.tensorboard import SummaryWriter
from utils import plot_confusion_matrix
from dataset import SoundDataset
from data... |
from kivy.app import App
from kivy.uix.scatter import Scatter
from kivy.uix.label import Label
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.textinput import TextInput
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.button import Button
from kivy.uix.widget import Widget
from kivy.uix.popup import ... |
# -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-节点管理(BlueKing-BK-NODEMAN) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance ... |
"""
This is an implementation of `sha256_treehash`, used to calculate
puzzle hashes in clvm.
This implementation goes to great pains to be non-recursive so we don't
have to worry about blowing out the python stack.
"""
from typing import Optional, Set
from clvm import CLVMObject
from silicoin.types.blockchain_forma... |
# Copyright 2019 The Texar 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 applicable ... |
from flask import current_app, request
from zeus.config import db
from zeus.constants import Result, Status
from zeus.models import Build, Repository, TestCase, Job, Source
from zeus.utils.trees import build_tree
from .base_repository import BaseRepositoryResource
from ..schemas import BuildSchema
build_schema = Bui... |
#!/usr/bin/env python
"""
Version.py
"""
# Version string - globally available
__VERSION__ = '0.7-240120'
|
import math
n=int(input("Enter the terms "))
for i in range (1,n+1):
c=((1/math.sqrt(i))+(math.sqrt(i+1)))
print(c)
|
/home/runner/.cache/pip/pool/e0/9b/c6/27a92213f9ee5de0ba9d5354337667742f8f5af8a4026f586b65b73048 |
###############################################################################
##
## Copyright (C) 2014 Tavendo GmbH
##
## 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:/... |
import json
import sys
import subprocess as sp
from functools import partial
import nbconvert
def build_cmd(notebook, timeout):
cmd = [
"jupyter", "nbconvert",
"--log-level=ERROR",
"--ExecutePreprocessor.timeout=" + timeout,
"--execute",
"--inplace",
"--to", "noteb... |
from Data import Data
import scoring.dictionary.SSS93 as dictionary
class SSS93(Data):
scores = {'raw' : None }#
def scoring_raw(self, score):
option_numbers = dictionary.option_numbers
score.set(dictionary.factors_names,0)
for i, item in self.items():
try:
... |
import time
from gtts import gTTS
import os
error_log = os.getcwd() + "\error.log"
while True:
try:
data = input("What should I say?: ")
tts = gTTS(text=data, lang='en')
tts.save(data[0]+".mp3")
os.system("start " + data[0]+".mp3")
time.sleep(1)
except Valu... |
"""
Core Module for Activations Visualizations
"""
import numpy as np
import tensorflow as tf
from tf_explain.utils.display import filter_display
from tf_explain.utils.saver import save_grayscale
class ExtractActivations:
""" Draw activations of a specific layer for a given input """
def __init__(self, bat... |
import os, sys
sys.path.append(os.getcwd())
import time
import numpy as np
import tensorflow as tf
import tflib as lib
import tflib.ops.linear
import tflib.ops.conv2d
import tflib.ops.batchnorm
import tflib.ops.deconv2d
import tflib.save_images
import tflib.cifar10
# import tflib.inception_score
import tflib.plot
#... |
import json
import logging
from datetime import date
from dateutil import parser
from sqlalchemy.exc import IntegrityError
from sqlalchemy.sql import func
from couchers.crypto import hash_password
from couchers.db import get_user_by_field, session_scope
from couchers.models import (
Cluster,
ClusterRole,
... |
# -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/Range
Release: R4
Version: 4.0.1
Build ID: 9346c8cc45
Last updated: 2019-11-01T09:29:23.356+11:00
"""
import sys
from . import element
class Range(element.Element):
""" Set of values bounded by low and high.
A set of ordered Quan... |
import os.path
import torch
import numpy as np
from PIL import Image
import blobfile as bf
import tifffile as tiff
from typing import Union, Any, List, Callable
from torch.nn.functional import interpolate
from matplotlib import pyplot as plt
from torch.utils.data import DataLoader, Dataset
def imread(path: str):
... |
#!/usr/bin/python
#
# Copyright 2015 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 b... |
"""
Example for using langid.py to identify the language of messages
on a twitter livestream. Optionally, it can also filter messages
and display only those in a target language(s).
Expects a Twitterstream on STDIN, such as the one provided by:
# curl https://stream.twitter.com/1/statuses/sample.json -u<username> -s
... |
import json
from unittest.mock import patch, Mock
from federation.entities.activitypub.entities import ActivitypubFollow, ActivitypubPost
from federation.tests.fixtures.payloads import (
ACTIVITYPUB_FOLLOW, ACTIVITYPUB_POST, ACTIVITYPUB_POST_OBJECT, ACTIVITYPUB_POST_OBJECT_IMAGES)
from federation.utils.activitypub... |
import os
import inspect
import importlib
def _not_hidden(f):
return f[0] != "_" and f[0] !='.'
def _get_files(file_):
return [
os.path.splitext(f.name)[0]
for f in os.scandir(os.path.dirname(file_))
if f.is_file() and _not_hidden(f.name)
]
def _get_dirs(file_, ignore=[]):
... |
# Source code distributed under the Copyright (c) 2008, Chris Lewis
# Authors: Chris Lewis (http://work.chris.to), John David Funge (www.jfunge.com)
#
# Licensed under the Academic Free License version 3.0
# (for details see LICENSE.txt in this directory).
import util
import util2D
import vec
from OpenGL.GL import *... |
import random
import numpy as np
import pandas as pd
import SpaGCN as spg
import torch
from anndata import AnnData
from typing import Optional
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from .utils import compute_pca_components
def cluster_spagcn(
adata: ... |
'''Code for indexing to subexpressions.'''
from .....common import T_SETGRD, T_FWD
from .....exceptions import CurryIndexError, CurryTypeError
from ..... import icurry, inspect
from . import node
from .....utility import visitation
import collections
import numbers
__all__ = ['compress_fwd_chain', 'logical_subexpr', ... |
from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register([Ticket,Area,Places,TicketPlace]) |
# -*- coding: utf-8 -*-
#
# kdd-cup-2019 documentation build configuration file, created by
# sphinx-quickstart.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values h... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : start.py
@Author: ChenXinqun
@Date : 2019/1/19 11:59
'''
import os
import sys
import pickle
from subprocess import Popen
from importlib import import_module
from crawlframe import configs
from crawlframe.utils.timers import BaseTime
from crawlframe.engine.cr... |
import torch
from torch import nn
# LapSRN, 拉普拉斯金字塔结构, 2017
class LapSRN(nn.Module):
def __init__(self, fea_chan=64, scale=2, conv_num=3):
super(LapSRN, self).__init__()
self.level_num = int(scale/2)
self.share_ski_upsample = nn.ConvTranspose2d(
1, 1, 4, stride=scale, padding=... |
import torch
# Make code device agnostic with respect to user input
def get_device(gpu):
if gpu == 'on':
device = torch.device("cuda:0" if torch.cuda.is_available()
else "cpu")
else:
device = torch.device("cpu")
return device |
"""
#Trains a ResNet on the CIFAR10 dataset.
"""
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRa... |
from allauth.socialaccount.providers.discord.provider import DiscordProvider
from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns
urlpatterns = default_urlpatterns(DiscordProvider)
|
""" CISCO_IETF_ATM2_PVCTRAP_MIB_EXTN
This MIB Module is a supplement to the
CISCO\-IETF\-ATM2\-PVCTRAP\-MIB.
"""
from collections import OrderedDict
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.filters import YFilter
from ydk... |
import OxygenRM as O
import OxygenRM.events as event
from functools import wraps, partial
def temporal_events(f):
""" Decorates a function so it is assured to fire the events (and deactivate the events
after if they were not active)
"""
@wraps(f)
def _uses_events(*args, **kwargs):
dea... |
#!/usr/bin/env python
#
# Written by JM Lopez
# GitHub: https://github.com/jm66
# Email: jm@jmll.me
# Website: http://jose-manuel.me
#
# Note: Example code For testing purposes only
# Based on ExportOvfToLocal.java by Steve Jin
#
# This code has been released under the terms of the Apache-2.0 license
# http://ope... |
#!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'coen315.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are ... |
# TODO 机器学习 4.6.sp 试选择2个UCI数据集，对上述2种算法所产生的未剪枝、预剪枝、后剪枝决策树进行实验比较。
from ml4_3 import ID3_tree
from ml4_4 import CART_tree
from sklearn.datasets import load_iris, load_wine
from sklearn.model_selection import train_test_split # Import train_test_split function
def run_4_6(dataset, criterion):
x_train, x_test, y_tra... |
from peewee import SqliteDatabase, Model, CharField, TextField
db = SqliteDatabase('comments.db')
class Comment(Model):
title = CharField()
content = TextField()
class Meta:
database = db
db.connect()
if not Comment.table_exists():
Comment.create_table()
def create_comment(title, content... |
import numpy as np
import pandas as pd
from sklearn.linear_model import Ridge
from sklearn.model_selection import cross_val_score, train_test_split
from sklearn.model_selection import RepeatedKFold
from sklearn.preprocessing import OneHotEncoder
import pickle
from flask import Flask, request
np.random.seed(42... |
def number(input):
for i in range(input+1):
s = ""
for x in range(i):
s+= str(i)
print(s)
number(4)
|
from hugectr import Session, solver_parser_helper, get_learning_rate_scheduler
import sys
from mpi4py import MPI
def session_impl_test(json_file):
solver_config = solver_parser_helper(seed = 0,
batchsize = 16384,
batchsize_eval = 16384,
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# from http://zetcode.com/gui/pyqt5/
import sys
import os
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
"""QMainWindow skeleton
"""
class MainWindow(QMainWindow):
def __init__(self):
QMainWindow.__init__(self)
self.initUI()
def init... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# индивидуальное задание №2. Написать функцию произведения положительных аргументов.
def multiply(*args):
z = 1
for num in args:
z *= num
print(z)
if __name__ == "__main__":
multiply(5, 5)
multiply(8, 9)
multiply(2, 3, 7)
... |
import copy
import os
from flask import Flask, request, jsonify
from queue import PriorityQueue
from threading import Thread
# Agent
from end2end.soloist.methods.baseline.SoloistAgent import Soloist
rgi_queue = PriorityQueue(maxsize=0)
rgo_queue = PriorityQueue(maxsize=0)
app = Flask(__name__)
# soloist model
model... |
#!/usr/bin/env python
# Copyright 2001-2004 by Brad Chapman. All rights reserved.
# Revisions copyright 2007-2016 by Peter Cock. All rights reserved.
# Revisions copyright 2013 by Kai Blin. All rights reserved.
# Revisions copyright 2015-2016 by Peter Cock.
# Revisions copyright 2019 by Sergio Valqui.
# This code is p... |
from bs4 import BeautifulSoup
import requests
import re
from scraper.web_scraper import WebScraper
class NewsScraper(WebScraper):
def __init__(self, url, filter_terms, html_parser="html.parser"):
"""
Used to scrape Steam newsfeeds and get appids of free games.
:param url:
:param f... |
#
# This file is part of LiteDRAM.
#
# Copyright (c) 2017-2019 Florent Kermarrec <florent@enjoy-digital.fr>
# Copyright (c) 2020 Antmicro <www.antmicro.com>
# SPDX-License-Identifier: BSD-2-Clause
import unittest
from migen import *
from litex.soc.interconnect.stream import *
from litedram.common import LiteDRAMNat... |
#TODO- for loop with 16bit that trains a vgg19bn to recognize writers
from torch import optim
from torch.cuda.amp import GradScaler, autocast
from models.StyleEncoder_model import StyleEncoder
def freeze_conv(model):
for param in model.features:
param.requires_grad = False
def train_vgg_extractor():
... |
"""The setup script."""
from setuptools import setup
setup(use_scm_version={"fallback_version": "999"})
|
# Generated by Django 3.1.7 on 2021-03-07 01:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('todo', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='task',
name='due_date',
field=... |
import abc
import builtins
import datetime
import enum
import typing
import jsii
import publication
import typing_extensions
from ._jsii import *
import cdk8s
import constructs
class Jenkins(cdk8s.ApiObject, metaclass=jsii.JSIIMeta, jsii_type="iojenkins.Jenkins"):
'''Jenkins is the Schema for the jenkins API.
... |
### All the configuration needed for the application
config = {
# Necessary to use Google services
"spreadsheet_id": "",
"qpx_api_key": "",
# Write dates in YYYY-MM-DD e.g. "2017-05-13"
"date_start": "2017-09-16",
"date_end": "2017-09-24",
# Write times in HH:MM e.g. "13:00"
"time_arr... |
#
# Copyright 2017 National Renewable Energy Laboratory
#
# 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 la... |
from SerialDevice import SerialDevice
class Scanner:
def __init__(self, max_angle=170) -> None:
self.dev = SerialDevice()
self._ready = False
self.max_angle = max_angle
self.pan_angle = None
self.tilt_angle = None
print('syncing with scanner...')
self.center(... |
import sys
import pymssql
# if sys.platform == 'cygwin':
# import pyodbc
import smtplib
import logging
import logging.handlers
import re
from os import getenv
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.utils import formatdate
from datetime import datetime
from py... |
# -*- coding: utf-8 -*-
# Copyright (c) 2016 Ericsson AB
#
# 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 ... |
"""
sphinx.util.inspect
~~~~~~~~~~~~~~~~~~~
Helpers for inspecting Python modules.
:copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import builtins
import contextlib
import enum
import inspect
import re
import sys
import types
import typ... |
"""
Module containing class representing a jumping distribution which describes a
translation whose distribution does not depend on the starting location. If the
PDF of the translation distribution is \\(g(\\boldsymbol{t})\\), this
distribution's PDF is given by
$$f(\\boldsymbol{x},\\boldsymbol{y})=g(\\boldsymbol{y}-\\... |
#!/usr/bin/python
#coding=utf-8
'''
@author: sheng
@license:
'''
SPELL=u'yuānyè'
CN=u'渊液'
NAME=u'yuanye14'
CHANNEL='gallbladder'
CHANNEL_FULLNAME='GallbladderChannelofFoot-Shaoyang'
SEQ='GB22'
if __name__ == '__main__':
pass
|
# -*- coding: utf-8 -*-
# This file is part of beets.
# Copyright 2016, Thomas Scholtes.
#
# 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 ... |
from pysketcher._angle import Angle
from pysketcher._point import Point
from pysketcher._shape import Shape
from pysketcher._style import TextStyle
class Text(Shape):
"""Place `text` on the drawing at the Point(x, y) `position`.
The `text` will be drawn in the given `direction`
Args:
text: The t... |
from setuptools import setup, find_packages
setup (
name='data-analysis',
version='0.0.1',
url='www.github.com/kush4agarwal/data-analysis',
license='BSD',
author='Kush Agarwal',
packages=find_packages(),
install_requires=['PyQt5', 'pandas', 'numpy', 'SQLAlchemy', 'nltk', 'python-twitter', 'jupyter'],
entry_po... |
from datetime import date, datetime
from json import dumps as jdumps
from typing import Any, Callable, Dict, List
from httpx import URL, Request, Response, codes
from pytest import fixture
from firebolt.async_db import ARRAY, Connection, Cursor, connect
from firebolt.async_db.cursor import JSON_OUTPUT_FORMAT, ColType... |
#!/usr/bin/env python3
#
# Generate the component inter-dependency list
# Caveat: does not detect nor manage circular dependencies yet
import os
import sys
from optparse import OptionParser
EXCLUDE_DIRS = ('build', 'private')
usage = 'Usage: %prog [options]\n'\
' generates component inter-dependency list'
o... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2019 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... |
import json
import re
from datetime import datetime
from typing import Any, Optional
from bs4 import BeautifulSoup as bs
from nonebot.log import logger
from ..post import Post
from ..types import *
from ..utils import http_client
from .platform import NewMessage
class Weibo(NewMessage):
categories = {
... |
""" General helper functions to handle measurement data
TODO: Use more efficient numpy solution?
"""
def crop_data_range_to_x(xdata, ydata, lower, upper):
"""Crop two data data vectors so that the second corresponds to the first
Args:
xdata (1D array/list):
ydata (1D array/list):
lowe... |
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