content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
from .annotation import Sentence
from nltk.tokenize.punkt import PunktParameters
from nltk.tokenize.punkt import PunktSentenceTokenizer
from .ru.processor_tokenizer_ru import _ru_abbrevs
from .en.processor_tokenizer_nltk_en import _en_abbrevs
from itertools import combinations
class ProcessorSentenceSplitter:
"""... | python |
import datetime
from django.db import IntegrityError
from django.db.models import Min, Max
from django.utils.timezone import make_aware
from zabiegi import models
def integruj_jednostki():
for w in (
models.WykazStrona1.objects.all()
.exclude(dane_operacji_jednostka_wykonująca_kod=None)
... | python |
#!/usr/local/bin/python
#
# Copyright (c) 2009-2014 Sippy Software, Inc. All rights reserved.
#
# All rights reserved.
#
# 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 th... | python |
from datasets import load_dataset
cord = load_dataset("katanaml/cord")
#
labels = cord['train'].features['ner_tags'].feature.names
#
id2label = {v: k for v, k in enumerate(labels)}
label2id = {k: v for v, k in enumerate(labels)}
#
from PIL import Image
from transformers import LayoutLMv2Processor
from datasets i... | python |
# Generated by Django 3.2.6 on 2021-09-18 04:13
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('registration', '0011_auto_20210917_0032'),
]
operations = [
migrations.DeleteModel(
name='Links',
),
migrations.RemoveFi... | python |
# coding: utf-8
import scipy
import json
import re
import traceback
import allennlp
from allennlp.predictors.predictor import Predictor
import sys
from allennlp.commands.elmo import ElmoEmbedder
from spacy.lang.en import English
import numpy as np
# import tensorflow as tf
import torch
from hyperpara import *
impor... | python |
import stoked
import numpy as np
from functools import partial
import matplotlib.pyplot as plt
def harmonic_force(time, position, orientation, stiffness):
return -stiffness*position
nm = 1e-9
us = 1e-6
stiffness = 2e-6
radius = 25*nm
N = 15
initial = np.random.uniform(-300*nm, 300*nm, size=(N,2))
Q = 1e-18
bd =... | python |
# Test the unicode support! 👋
ᚴ=2
assert ᚴ*8 == 16
ᚴ="👋"
c = ᚴ*3
assert c == '👋👋👋'
import unicodedata
assert unicodedata.category('a') == 'Ll'
assert unicodedata.category('A') == 'Lu'
assert unicodedata.name('a') == 'LATIN SMALL LETTER A'
assert unicodedata.lookup('LATIN SMALL LETTER A') == 'a'
assert unic... | python |
from pathlib import Path
from typing import Union
import click
import matplotlib.pyplot as plt
from ertk.dataset import read_features
@click.command()
@click.argument("input", type=click.Path(exists=True, dir_okay=False, path_type=Path))
@click.argument("instance", type=str, default="2")
def main(input: Path, insta... | python |
import nbconvert, git, yaml, inspect; from pathlib import Path
class FrontMatters(nbconvert.exporters.MarkdownExporter):
def from_notebook_node(self, nb, resources=None, **kw):
nb, resources = super().from_notebook_node(nb, resources, **kw)
md = dict(resources['metadata'])
md['author'] = au... | python |
import random
from arcade import Sprite, load_texture, check_for_collision_with_list
from activities import explore, backtrack, follow_the_food, find_the_food
from path import Path
class Ant(Sprite):
def __init__(self, x, y, arena, colony, scale=1, activity="wander"):
super().__init__(center_x=x, center_y... | python |
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 29 13:52:01 2017
@author: User
"""
import re
aPara = "this is a list of words. and here is another"
aList = []
print(aPara.split()) # splits into words
print(len(aPara.split())) # count of words
for item in re.split('[.]', aPara): #splits into sentences
... | python |
## Copyright 2015-2019 Ilgar Lunin, Pedro Cabrera
## 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... | python |
import argparse
from typing import Optional
from typing import Sequence
BLACKLIST = [
b'\x64\x6e\x63', #dnc
]
def main(argv: Optional[Sequence[str]] = None) -> int:
parser = argparse.ArgumentParser()
parser.add_argument('filenames', nargs='*', help='Filenames to check')
args = parser.parse_args(argv)... | python |
# coding=utf-8
"""update_xml_verses.py
"""
from __future__ import print_function
import sys, re,codecs
sys.path.append('../step3e')
# the Entry object
from transcode import xml_header,read_entries
class Edit(object):
def __init__(self,lines):
self.lines = lines
assert lines[0] == '<edit>'
assert lines[-1] == ... | python |
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | python |
from subprocess import call
from core import kde
from core.action import has_dependency
class IconTheme4(kde.KDE4Action):
"""Change KDE's icon theme."""
def arguments(self):
return [
('theme', 'Icon theme name.')
]
def execute(self, theme):
kde.writeconfig("Icons", "Th... | python |
import logging
import progressbar
from django.core.management.base import BaseCommand
from contentcuration.models import Channel
from contentcuration.utils.nodes import generate_diff
from contentcuration.utils.nodes import get_diff
logging.basicConfig()
logger = logging.getLogger('command')
class Command(BaseComma... | python |
import os
import re
import json
import random
import codecs
import argparse
from template_config import *
from nltk import word_tokenize
from collections import defaultdict
from transformers.tokenization_roberta import RobertaTokenizer
ADD_INDEX_ID = 0.7
ADD_INDEX_NAME = 0.3
OP_VAL_EQUAL = 0.4
USE_TABLE_... | python |
"""
Tests for exact diffuse initialization
Notes
-----
These tests are against four sources:
- Koopman (1997)
- The R package KFAS (v1.3.1): test_exact_diffuse_filtering.R
- Stata: test_exact_diffuse_filtering_stata.do
- Statsmodels state space models using approximate diffuse filtering
Koopman (1997) provides anal... | python |
# Generated from astLogic/propositional.g4 by ANTLR 4.7.2
# encoding: utf-8
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3\f")
buf.write("B\4\2\t\2\3\2\... | python |
frase = " Amo Física, é a mãe de todas as ciências asd "
# atribuição duma string à uma variável
# print(frase[2])
# print(frase[0:4]) # vai do caractere 0 ao 4, excluindo o 4
# print(frase[0:10])
# print(frase[0:15:2]) # vai do crc.0 ao crc.15 saltando de 2 em 2
# print(frase[:13]) # começa do caractere inicial ... | python |
"""Syntax checks
These checks verify syntax (schema), in particular for the ``extra``
section that is otherwise free-form.
"""
from . import LintCheck, ERROR, WARNING, INFO
class extra_identifiers_not_list(LintCheck):
"""The extra/identifiers section must be a list
Example::
extra:
ide... | python |
#
# All or portions of this file Copyright (c) Amazon.com, Inc. or its affiliates or
# its licensors.
#
# For complete copyright and license terms please see the LICENSE at the root of this
# distribution (the "License"). All use of this software is governed by the License,
# or, if provided, by the license below or th... | python |
from cStringIO import StringIO
import tldextract
import web
try:
import json
except ImportError:
from django.utils import simplejson as json
urls = (
'/api/extract', 'Extract',
'/api/re', 'TLDSet',
'/test', 'Test',
)
class Extract:
def GET(self):
url = web.input(url='').ur... | python |
#!/usr/bin/env python3
# import many libraries
from __future__ import print_function
import pickle
import os.path
import io
import subprocess
import urllib, json
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
impor... | python |
import logging
from typing import TYPE_CHECKING, Optional
import numpy as np
from .base import BaseCallback
if TYPE_CHECKING:
from ..base import BaseTuner
class EarlyStopping(BaseCallback):
"""
Callback to stop training when a monitored metric has stopped improving.
A `model.fit()` training loop wi... | python |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'C:/Users/Zeke/Google Drive/dev/python/zeex/zeex/core/ui/actions/import.ui'
#
# Created: Mon Nov 13 22:57:16 2017
# by: pyside-uic 0.2.15 running on PySide 1.2.2
#
# WARNING! All changes made in this file will be lost!
from PySide impor... | python |
import os
from pony import orm
from datetime import datetime
db = orm.Database()
class LogEntry(db.Entity):
client_ip = orm.Required(str)
client_port = orm.Required(int)
raw_accept_date = orm.Required(str)
accept_date = orm.Required(datetime, 6)
frontend_name = orm.Required(str)
backend_name... | python |
exec("import re;import base64");exec((lambda p,y:(lambda o,b,f:re.sub(o,b,f))(r"([0-9a-f]+)",lambda m:p(m,y),base64.b64decode("N2MgMWEsNTEsZixlLGMsNDUsYmEsMjYsMjgKZDkgOTAuZDguN2IgN2MgNWYKCjE3ICAgICAgICA9ICdiYi5jZC5iNycKMWMgICAgICAgPSA1MS41Zig5ZD0xNykKY2IgICAgICAgICAgID0gNWYoMTcsIDI4LjFiKQo2ICAgICAgICAgID0gMWEuMzEoYmEuO... | python |
from contextlib import suppress
from lsst.daf.butler import DatasetRef, FileDataset, CollectionType
from huntsman.drp.utils.fits import read_fits_header, parse_fits_header
def dataId_to_dict(dataId):
""" Parse an LSST dataId to a dictionary.
Args:
dataId (dataId): The LSST dataId object.
Returns:... | python |
from .. import initializations
from ..layers.core import MaskedLayer
from .. import backend as K
import numpy as np
class LeakyReLU(MaskedLayer):
'''Special version of a Rectified Linear Unit
that allows a small gradient when the unit is not active
(`f(x) = alpha*x for x < 0`).
# Input shape
... | python |
#!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you ma... | python |
from datetime import datetime
from unittest import TestCase
import xml.etree.ElementTree as ET
from youtube_discussion_tree_api.utils import Node
from youtube_discussion_tree_api._xml import _create_argument, _create_pair, _serialize_tree
import os
class TestXmlTreeConstruction(TestCase):
def test_create_argumen... | python |
# -*- coding: utf-8 -*-
import asyncio
import logging
import os
import sys
from pathlib import Path
import subprocess
import numpy as np
import pandas as pd
import flask
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import plotly.... | python |
"""
This week’s question:
Implement a simple version of autocomplete, where given an input string s and a dictionary of words dict, return the word(s) in dict that partially match s (or an empty string if nothing matches).
Example:
let dict = ['apple', 'banana', 'cranberry', 'strawberry']
$ simpleAutocomplete('app')... | python |
import re
from setuptools import setup, find_packages
INIT_FILE = 'dimensigon/__init__.py'
with open("README.md", "r") as fh:
long_description = fh.read()
def find_version():
with open(INIT_FILE) as fp:
for line in fp:
# __version__ = '0.1.0'
match = re.search(r"__version__\... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
app.modules.logs
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
日志模块
"""
from flask_smorest import Blueprint
blp = Blueprint("Log", __name__, url_prefix="/logs", description="日志模块")
| python |
import pytest
import numpy as np
from whatlies.language import SpacyLanguage
from whatlies.transformers import Pca
words = [
"prince",
"princess",
"nurse",
"doctor",
"banker",
"man",
"woman",
"cousin",
"neice",
"king",
"queen",
"dude",
"guy",
"gal",
"fire"... | python |
import functools
import numpy as np
import psyneulink as pnl
import psyneulink.core.components.functions.transferfunctions
input_layer = pnl.TransferMechanism(
size=3,
name='Input Layer'
)
action_selection = pnl.TransferMechanism(
size=3,
function=psyneulink.core.components.functions.transferf... | python |
"""
This class provides functionality for managing a generig sqlite or mysql
database:
* reading specific fields (with the possibility to filter by field values)
* storing calculated values in the dataset
Created on May 11 2018
@author: Jerónimo Arenas García
"""
from __future__ import print_function # For pyth... | python |
"""Jurisdictions are a small complete list.
Thus they can be operated from a dictionary.
Still, persisted in DB for query consitency.
Thus maintaining both synchronised and using at convenience."""
from db import Session
from db import Jurisdiction
from .lazyinit import _cached_jurisdictions
from .api_wikipedia impor... | python |
#!/usr/bin/env python3
# Utility functions.
import sys
import os
import re
# Prints passed objects to stderr.
def warning(*objs):
print("WARNING: ", *objs, file=sys.stderr)
# Converts passed string by uppercasing first letter.
firstLetterToUppercase = lambda s: s[:1].upper() + s[1:] if s else ''
# Converts passe... | python |
# Generated by Django 2.1.1 on 2018-09-18 12:24
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Products',
fields=[
('id', models.AutoField... | python |
import math
import numpy as np
from mlpy.numberGenerator.bounds import Bounds
from experiments.problems.functions.structure.function import Function
class Elliptic(Function):
def function(self, x):
return np.sum(np.power(np.power(10., 6 ), np.divide(np.arange(len(x)), np.subtract(x, 1.))))
def getBo... | python |
"""
Created by Constantin Philippenko, 18th January 2022.
"""
import matplotlib
matplotlib.rcParams.update({
"pgf.texsystem": "pdflatex",
'font.family': 'serif',
'text.usetex': True,
'pgf.rcfonts': False,
'text.latex.preamble': r'\usepackage{amsfonts}'
})
import hashlib
import os
import sys
import... | python |
x = 10.4
y = 3.5
x -= y
print x
| python |
# Generated by Django 3.1.7 on 2021-03-15 22:30
from django.db import migrations, models
import django.db.models.deletion
import manager.storage
import projects.models.sources
class Migration(migrations.Migration):
dependencies = [
('socialaccount', '0003_extra_data_default_dict'),
('projects', ... | python |
import tensorflow as tf
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Conv2D, MaxPool2D, Dense, Flatten, Dropout
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from sklearn.utils import class_weight
import numpy as np
tf.keras.backend.set_floatx('float64')
drop = ... | python |
import requests
import re
import json
import os
import copy
class JsonProcessorFile(object):
"""Generate a dict of processing options that exist in a dictionary of dictionaries. Allow renaming
of the fields. The results of this class is used to flatten out a JSON into CSV style.
For example the following... | python |
# Copyright (c) 2020 Graphcore Ltd. All rights reserved.
import numpy as np
import popart
import torch
import pytest
import torch.nn.functional as F
from op_tester import op_tester
# `import test_util` requires adding to sys.path
import sys
from pathlib import Path
sys.path.append(Path(__file__).resolve().parent.paren... | python |
import argparse
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import torch
from pytorch_lightning import seed_everything
from sklearn.decomposition import PCA
from sggm.data.uci_boston.datamodule import (
UCIBostonDataModule,
UCIBostonDataModuleShifted,
)
from sgg... | python |
import PySimpleGUI as sg
from NetLogoDOE.src.gui.custom_components import title, question_mark_button
from NetLogoDOE.src.gui.custom_windows import show_help_window
from NetLogoDOE.src.gui.help_dictionary import help_text
class StandardResultsScreen:
def __init__(self):
button_size = (30, 1)
but... | python |
from models.gru_net import GRUNet
from models.res_gru_net import ResidualGRUNet
from models.multi_res_gru_net import MultiResidualGRUNet
from models.multi_seres_gru_net import MultiSEResidualGRUNet
from models.multi_res2d3d_gru_net import MultiResidual2D3DGRUNet
from models.multi_seres2d3d_gru_net import MultiSEResidua... | python |
# programa que solicita uma temperatura em graus Farenheit e converte para graus Celsius
# solicita a temperatura em graus Farenheit
temperatura_farenheit = float(input("Informe a temperatura em graus Farenheit: "))
# Converte a temperatura de Farenheit para Celsius
temperatura_celsius = (5 * (temperatura_farenheit - ... | python |
import math
import discord
import mail
import os
client = discord.Client()
env = os.environ
DISCORD_TOKEN = env.get("DISCORD_TOKEN")
CHANS = env.get("DISCORD_CHANS")
if CHANS:
CHANS = list(map(lambda x: int(x), CHANS.split(",")))
else:
CHANS = []
@client.event
async def on_ready():
print("Logged in")
@client.... | python |
#
# This file is part of Python Client Library for STAC.
# Copyright (C) 2019 INPE.
#
# Python Client Library for STAC is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
#
"""Utility data structures and algorithms."""
import json
import p... | python |
import random
import re
from abc import ABC, abstractmethod
from datetime import datetime
from pathlib import Path
from typing import Dict, List
from itertools import groupby, chain
import pandas as pd
from models import ListNews, News, Cluster
from sqlalchemy.orm import Session
from utils import convert_str_to_date
... | python |
import sys
import io
from arc import color, CLI
def test_colorize():
colored = color.colorize("test", color.fg.RED)
assert colored.startswith(str(color.fg.RED))
assert colored.endswith(str(color.effects.CLEAR))
colored = color.colorize("test", color.fg.RED, clear=False)
assert colored.startswith(... | python |
# Copyright 2013 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 by applicable law or ... | python |
import numpy as np
import lmdb
import caffe
N = 1000
# Test Data
X = np.zeros((N, 3, 32, 32), dtype=np.uint8)
y = np.zeros(N, dtype=np.int64)
# We need to prepare the database for the size. We'll set it 10 times
# greater than what we theoretically need. There is little drawback to
# setting this too big. If you sti... | python |
import sys
from glob import glob
from os.path import join, dirname
from kivy.uix.scatter import Scatter
from kivy.app import App
from kivy.graphics.svg import Svg
from kivy.core.window import Window
from kivy.uix.floatlayout import FloatLayout
from kivy.lang import Builder
Builder.load_string("""
<SvgWidget>:
do_r... | python |
from decimal import Decimal
from django.contrib.auth.models import AbstractUser
from django.db import models
from django.db.models import Sum
class CustomUser(AbstractUser):
"""
Clase que modela un usuario del sistema.
Atributos:
avatar: avatar que identifica al usuario. (String)
cash: dinero l... | python |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"USE_64": "01_Pairwise_Distance.ipynb",
"gpu_dist_matrix": "01_Pairwise_Distance.ipynb",
"component_mixture_dist_matrix": "01_Pairwise_Distance.ipynb",
"makeCurvesFromDistanceMatrix... | python |
import pytest
from app.models import Expense, User
from app.models import expense
pytestmark = pytest.mark.nologin
def headers(tok):
return {'Authorization': f'Bearer {tok}'}
def test_get_expenses(db_with_expenses, token, client):
resp = client.get('/api/expenses?page=1&page_size=10',
... | python |
import os
from oraculo.gods import faveo, faveo_db, exceptions
from . import entitys, base
from .exceptions import (
DoesNotExist, NotSetHelpDeskUserInstance,
NotIsInstance)
class Prioritys(object):
_url = 'api/v1/helpdesk/priority'
_entity = entitys.Priority
objects = base.BaseManageEntity(_url, ... | python |
import re
import time
import io
import sys
import argparse
from collections import defaultdict
# parse/validate arguments
argParser = argparse.ArgumentParser()
argParser.add_argument("-d", "--delimiter", type=str, default='\t', help="delimiter defaults to \t")
argParser.add_argument("-1", "--firstFilename", type=str)
... | python |
"""
File name: predict_full_brain.py
Author: Jana Rieger
Date created: 03/12/2018
This is the main script for predicting a segmentation of an input MRA image. Segmentations can be predicted for multiple
models eather on rough grid (the parameters are then read out from the Unet/models/tuned_params.cvs file) or on fine... | python |
import lumos.numpy.casadi_numpy as np
import pytest
def test_basic_logicals_numpy():
a = np.array([True, True, False, False])
b = np.array([True, False, True, False])
assert np.all(a & b == np.array([True, False, False, False]))
if __name__ == "__main__":
pytest.main()
| python |
import asyncio
from string import capwords
import DiscordUtils
import discord
from discord.ext.commands import Context
from embeds import error_embed, success_embed, infoCheckEmbed
from settings import BOT_TOKEN, prefix, description, verified_role_id
from settings import verification_channel_id
from database import e... | python |
class DataIntegrityException(Exception):
pass
class AuthenticationException(Exception):
pass
class UnauthorizedException(Exception):
pass
| python |
"""Module for defining primitives and primitve categories
"""
from collections import defaultdict
from enum import Enum
import json
import pprint
import pkgutil
class Primitive(object):
"""A primitive"""
def __init__(self):
self.name = ''
self.task = ''
self.learning_type = ''
... | python |
from django.db.models import Q
from rest_framework.filters import (OrderingFilter, SearchFilter)
from rest_framework.generics import (ListAPIView,
RetrieveAPIView)
from posts.models import Comment
from posts.api.permissions import IsOwnerOrReadOnly
from posts.api.pagination import P... | python |
from tkinter import *
from tkinter import ttk
from tkinter import messagebox
my_window = Tk()
my_window.title("our final project/help")
my_window.geometry("1366x768")
my_window.resizable(1, 1)
my_window.configure(bg="grey")
L1 = Label(my_window, text="ENQUIRY MANAGEMENT SYSTEM", bg="lavender", fg="blue", font... | python |
import os
import shutil
import sys
import time
import unittest
from sitetree import *
class TestCopyFuncs(unittest.TestCase):
def setUp(self):
unittest.TestCase.setUp(self)
os.makedirs('testdata/test_sitetree/src/nested')
with open('testdata/test_sitetree/src/nested/fileA.txt', "w") as ... | python |
# copyright 1999 McMillan Enterprises, Inc.
# license: use as you please. No warranty.
#
# A subclass of Archive that can be understood
# by a C program. See uplaunch.cpp for unpacking
# from C.
import archive
import struct
import zlib
import strop
class CTOC:
"""A class encapsulating the table of contents of a CA... | python |
from django.contrib import admin
from .models import Organization, Metadata
admin.site.register(Organization)
admin.site.register(Metadata)
| python |
# coding=utf-8
# Copyright 2022 The Google Research 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 required by applicab... | python |
# __init__.py
#
# Copyright(c) Exequiel Ceasar Navarrete <exequiel.navarrete09gmail.com>
# Licensed under MIT
# Version 1.0.0-alpha2
from compiler.tokenizer import Tokenizer
from compiler.parser import Parser
from compiler.transformer import Transformer
from compiler.code_generator import CodeGenerator
class Compiler... | python |
from testtube.helpers import Frosted, Nosetests, Pep257, Flake8
PATTERNS = (
# Run pep257 check against a file if it changes, excluding files that have
# test_ or tube.py in the name.
# If this test fails, don't make any noise (0 bells on failure)
(
r'((?!test_)(?!tube\.py).)*\.py$',
[P... | python |
# Automatically generated by pb2py
# fmt: off
from .. import protobuf as p
if __debug__:
try:
from typing import Dict, List # noqa: F401
from typing_extensions import Literal # noqa: F401
except ImportError:
pass
class MoneroSubAddressIndicesList(p.MessageType):
def __init__(
... | python |
def power_set(s):
return power_set_util(list(s), 0)
def power_set_util(s, index):
if index == len(s):
all_subsets = [set()]
else:
all_subsets = power_set_util(s, index + 1)
new_subsets = []
for subset in all_subsets:
concat = set(subset)
conca... | python |
name = "mtgtools" | python |
import os
import re
import setuptools
with open("README.MD", "r") as fh:
long_description = fh.read()
def find_version(fnam, version="VERSION"):
with open(fnam) as f:
cont = f.read()
regex = f'{version}\s*=\s*["]([^"]+)["]'
match = re.search(regex, cont)
if match is None:
raise Ex... | python |
#Crie um programa que leia uma frase qualquer
# e dia se ela é um palindromo; desconsiderando os espaços
# Ex. apos a sopa ; a sacada da casa, a torre da derrota
frase = str(input("Digite uma frase: ")).strip().upper()
palavras = frase.split()
junto = ''.join(palavras)
inverso = ''
for letra in range(len(junto) -1, -... | python |
class Agent:
def __init__(self, screen_resolution):
self.resolution = screen_resolution
self.fitness = 0
self.dead = False
self.screen = None
self.y = screen_resolution[1]//2
self.rect = ((10, self.y), (self.resolution[0]//20, self.resolution[0]//25))
self.vve... | python |
from lstm_model import LstmModel
import numpy as np
from trajectory import Trajectory, generate_trajectory, generate_trajectories, stochastic_policy_adapter
from solver import value_iteration, stochastic_policy_from_value_expectation
from snake_ladder import SnakeLadderWorld
from supervised_utils import trajectory_list... | python |
from .legion_tools import *
from .hamiltonian_gen import *
from collections import OrderedDict
def mf_calc(base_params):
fd = base_params.fd
fd_array = np.linspace(10.44, 10.5, 2001)
fd_array = np.hstack([fd_array, fd])
fd_array = np.unique(np.sort(fd_array))
mf_amplitude_frame = mf_characterise(b... | python |
#!/bin/python
def sortSelection(A, k):
"""
Selects the @k-th smallest number from @A in O(nlogn) time by sorting
and returning A[k]
Note that indexing begins at 0, so
call sortSelection(A, 0) to get the smallest number in the list,
call sortselection(A, len(A) / 2) to get the median number... | python |
#!/usr/bin/python3
import sys
import os
import re
import shutil
optimize = 3
link_time_optimize = 3
sources = [
'audio/audio.c',
'audio/source.c',
'audio/staticsource.c',
'audio/wav_decoder.c',
'audio/vorbis_decoder.c',
'filesystem/filesystem.c',
'graphics/batch.c',
'graphics/font.c',
'graphics/gra... | python |
import unittest
from board import Board
class BoardTests(unittest.TestCase):
def setUp(self):
self.b = Board()
return super().setUp()
def test_initial_board(self):
expected = [['.', '.', '.'], ['.', '.', '.'], ['.', '.', '.']]
self.assertEqual(self.b.board, expected)
def... | python |
import os
from bot import app_vars
def clean_file_name(file_name: str) -> str:
for char in ["\\", "/", "%", "*", "?", ":", '"', "|"] + [
chr(i) for i in range(1, 32)
]:
file_name = file_name.replace(char, "_")
file_name = file_name.strip()
return file_name
def get_abs_path(file_name... | python |
import copy
import six
from .error import SchemaError, Error, Invalid
class Schema(object):
"""
A schema that validates data given to it using the specified rules.
The ``schema`` must be a dictionary of key-value mappings. Values must
be callable validators. See ``XX``.
The ``entire`` argument... | python |
#!/usr/bin/env python
#
# Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import optparse
import os
import shutil
import re
import sys
import textwrap
from util import build_utils
import jar
sys.path.appe... | python |
import gym
import torch
import numpy as np
import seaborn as sns
from hips.plotting.colormaps import gradient_cmap
import matplotlib.pyplot as plt
import os
from tikzplotlib import save
from sds_numpy import rARHMM
from sds_torch.rarhmm import rARHMM
from lax.a2c_lax import learn
device = torch.device("cuda:0" if tor... | python |
import requests
from bs4 import BeautifulSoup as bs
import time
from time import sleep
import os
import sys
import xlsxwriter
from random import randint
import pyautogui
import pickle
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.chrome.options i... | python |
import unittest
from rover import control
class ControlTest(unittest.TestCase):
def test_example(self):
input = """5 5
1 2 N
LMLMLMLMM
3 3 E
MMRMMRMRRM"""
expected = """1 3 N
5 1 E"""
actual = control.launch_mission(input)
self.assertEqual(actual, expected)
def test_simple... | python |
class Property:
def __init__(self, name='', value=''):
self.name = name
self.value = value
| python |
from pypy.module.cpyext.test.test_api import BaseApiTest
class TestIterator(BaseApiTest):
def test_check_iter(self, space, api):
assert api.PyIter_Check(space.iter(space.wrap("a")))
assert api.PyIter_Check(space.iter(space.newlist([])))
assert not api.PyIter_Check(space.w_type)
ass... | python |
import os
from jarjar import jarjar
def writetofile(f, **kwargs):
"""write kwargs to a file"""
s = ''
for k, v in kwargs.items():
s += '%s=\'%s\'\n' % (k, v)
with open(f, 'w') as fh:
fh.write(s)
jj = jarjar()
print('-- vanilla')
print('channel', jj.default_channel)
print('message', ... | python |
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