content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="choixpeau",
version="0.0.9",
author="Keurcien Luu",
author_email="keurcien@appchoose.io",
description="Efficiently assign users to buckets.",
long_description=long_description,
lon... | [
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... | 2.5 | 266 |
#================================
# RESEARCH GROUP PROJECT [RGP]
#================================
# This file is part of the COMP3096 Research Group Project.
# System
import logging
# Gym Imports
import gym
from gym.spaces import Box, Discrete, Tuple
# PySC2 Imports
from pysc2.lib.actions import FUNCTIONS, Function... | [
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2,
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... | 3.273256 | 172 |
"""
Initialize an authenticated instance of PRAW to interact with.
$ python -i initialize_session.py
"""
from ttrv.docs import AGENT
from ttrv.packages import praw
from ttrv.content import RequestHeaderRateLimiter
from ttrv.config import Config
config = Config()
config.load_refresh_token()
reddit = praw.Reddit(
... | [
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1... | 2.895522 | 268 |
"""
Example on how to plot a Skew-T plot of a sounding
--------------------------------------------------
This example shows how to make a Skew-T plot from a sounding
and calculate stability indicies. METPy needs to be installed
in order to run this example
"""
import act
from matplotlib import pyplot as plt
try:... | [
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13,... | 2.507813 | 384 |
import sys
predotarOutput(sys.argv[1],sys.argv[2])
| [
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17,
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198
] | 2.166667 | 24 |
"""
Author: Sarah Masud
Copyright (c): Sarah Masud
"""
import json
import numpy as np
from datetime import datetime, timedelta
import os
import sys
main_dir = os.path.join("data", "reddit_data")
with open(os.path.join(main_dir, "selected_discussion_nov.jsonlist"),
"r") as f:
data = f.readlines()
n = len... | [
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... | 2.07565 | 1,269 |
# Generated by Django 2.2.4 on 2019-10-06 15:46
from django.db import migrations, models
| [
2,
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362,
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13,
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11,
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] | 2.84375 | 32 |
from ibslib.io import aims_extractor
__author__='Manny Bier'
def extract(struct_dir, extractor="aims", extractor_kwargs={}):
"""
Purpose is to extract information from a specific direcoty format.
For example, extract FHI-aims calculation directories to a Structure
json file.
... | [
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11,
7925,
273,
2625,
1385,
82,
1600,
7925,
273,
62,
46265,
... | 2.572222 | 360 |
from sqlalchemy.orm import scoped_session as ss
| [
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13,
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62,
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import re
typ='Extra stings Hello 2134567 World_This is a Regex Demo Extra stings'
result = re.search('(Extra) stings Hello 2134567 (.*) is a Regex Demo Extra (.*)',typ ,re.S)
print(result.group(1,2,3))
# type="submit" id="su" value="百度一下" class="bg s_btn"></span><span class="tools"><span id="mHolder"><div id="mCon"><... | [
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1... | 2.524823 | 141 |
import io
import sys
from typing import List
from hstest.dynamic.input.dynamic_input_func import DynamicTestFunction, DynamicInputFunction
from hstest.dynamic.input.input_mock import InputMock
| [
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... | 3.482143 | 56 |
import rx
from rx import operators as ops
import operator
def demo_starmap():
'''tuple unpacking'''
a = rx.of(1, 2, 3, 4)
b = rx.of(2, 2, 4, 4)
a.pipe(
ops.zip(b),
ops.starmap(operator.mul)
).subscribe(print)
if __name__ == '__main__':
#demo_zip()
demo_starmap() | [
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import unittest
from cloudwanderer import URN
from ..helpers import CloudWandererCalls, ExpectedCall, MultipleResourceScenario, NoMotoMock, SingleResourceScenario
| [
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... | 3.458333 | 48 |
import os
from flask import Flask, json, Response, request, render_template, send_file, jsonify, send_from_directory
from werkzeug.utils import secure_filename
import requests
from flask_cors import CORS
from datetime import datetime
import torch
import torch.nn.functional as F
import numpy as np
import json
import to... | [
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... | 2.287793 | 3,162 |
from aiogram import types
from aiogram.dispatcher.filters.builtin import CommandStart
from loader import dp
@dp.message_handler(CommandStart())
| [
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... | 3.340909 | 44 |
import unittest
from pytextgame.colors import *
from pytextgame.displays import Displays
from pytextgame.geometry import *
from pytextgame.window import Window
if __name__ == '__main__':
unittest.main()
| [
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# 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, soft... | [
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2... | 3.293059 | 389 |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
red='\033[31m'
reset='\033[0m'
s = "[€€€éä] nice " + red + "colors" + reset + '!\n'
print(s)
#import tempfile
#fd, path = tempfile.mkstemp()
#print fd, path
"""
tmpf = os.fdopen(fd, 'w')
try:
with as tmp:
# do stuff with temp file
tmp.write('st... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import logging
from gmprocess.subcommands.lazy_loader import LazyLoader
arg_dicts = LazyLoader(
'arg_dicts', globals(), 'gmprocess.subcommands.arg_dicts')
base = LazyLoader('base', globals(), 'gmprocess.subcommands.base')
distributed = LazyLoader('distribute... | [
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... | 2.334405 | 622 |
import pandas as pd
import math
import cv2
import numpy as np
import matplotlib
import random
from bestguess.bestguess import BestGuessModule, MODEL_CHANNELS
from stochastic_optimizer import BestChangeLayer
# matplotlib.use('agg')
import matplotlib.pyplot as plt
import time
import torch
import torch.nn as nn
import ... | [
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... | 2.516667 | 420 |
import copy
import numpy as np
from sparse_dot_mkl import dot_product_mkl
from utils import MIN_FLOAT
from IPython import embed
#def raw_overlap(node, constraint, num_points):
| [
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11... | 3.033333 | 60 |
"""
Name: InsanityNet
Last Date Edited: 18-Feb-2022
Description:
Imperial and Metric conversion.
Feet and Inches to Meters OR Meters to Feet and Inches
Requirements:
fractions.Fraction function built into Python3
Known Issues:
1. Negative Feet and Positive Inches. I can't be bothered to fix it at 11 ... | [
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... | 3.052045 | 1,076 |
# Authors:
# Trevor Perrin
# Moxie Marlinspike
#
# See the LICENSE file for legal information regarding use of this file.
import sys
from tack.version import __version__
from tack.commands.Command import Command
from tack.commands.GenerateKeyCommand import GenerateKeyCommand
from tack.commands.SignCommand import ... | [
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198,... | 3.767442 | 129 |
import serial
from .serial_mock.serial import Serial as SerialMock
from time import sleep
DELAY_BETWEEN_MESSAGES = 0.05
| [
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from collections import Collection
import altair as alt
import pandas as pd
def histogram(x, data, opacity=1., maxbins=30, color=None, padding=0,):
"""Display a histogram.
Parameters
----------
x : str
value to be binned
data : pandas.DataFrame
dataframe containing x
opacity ... | [
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... | 2.265424 | 3,971 |
"""A client to OWL."""
from typing import Optional
from indra.databases.owl_client import OwlClient
_client = OwlClient('ido')
def get_ido_name_from_ido_id(ido_id: str) -> Optional[str]:
"""Return the HP name corresponding to the given HP ID.
Parameters
----------
ido_id :
The IDO identifi... | [
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# Python solution for 'max diff - easy' codewars question.
# Level: 7 kyu
# Tags: FUNDAMENTALS, MATHEMATICS, ALGORITHMS, NUMBERS, COLLECTIONS, LISTS, DATA STRUCTURES, AND ARRAYS.
# Author: Jack Brokenshire
# Date: 16/07/2020
import unittest
def max_diff(lst):
"""
Finds the difference beteween the largest and... | [
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11,
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38,
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10554,
5653,
... | 2.742188 | 256 |
from PyQt5.QtCore import QDataStream, QIODevice, QObject, QByteArray, pyqtSignal
from PyQt5.QtCore import *
from PyQt5.QtWidgets import QApplication, QDialog, QMainWindow, QLineEdit, QPushButton, QVBoxLayout
from PyQt5.QtWidgets import *
from PyQt5.QtNetwork import QTcpSocket, QAbstractSocket
from PyQt5.QtNetwork impor... | [
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... | 2.443038 | 237 |
# from __future__ import absolute_import
# from __future__ import division
from __future__ import print_function
import os
import glob
import numpy as np
from PIL import Image
import cv2
if __name__ == '__main__':
main() | [
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... | 3.304348 | 69 |
import csv, os
os.chdir('C:\\Users\\tomas\\Desktop\\Multi-Side Flashcard Project\\Sentences from Tatoeba\\')
csv_handle = open("jpn_sentences.tsv",'r')
csv_read = csv.reader(csv_handle, delimiter="\t")
csvList = list(csv_read)
#print(len(csvList))
#print(f"Row 1, column 3: {csvList[0][2]}",f"Row 1, column 1: {csv... | [
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... | 2.178427 | 1,233 |
import numpy as np
import chainer
import chainer.functions as F
from chainer import initializers
from chainer import variable
class Normalize(chainer.Link):
"""Learnable L2 normalization [#]_.
This link normalizes input along the channel axis and scales it.
The scale factors are trained channel-wise.
... | [
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112... | 2.43633 | 534 |
#!/usr/bin/python2.4
# Small script to show PostgreSQL and Pyscopg together
#
import json
import psycopg2
import sys
match_id = sys.argv[1]
match_id = 2125002095
conn = psycopg2.connect("dbname='postgres' user='petergleixner' host='localhost' password=''")
cursor = conn.cursor()
cursor.execute('''SELECT replay_file F... | [
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... | 2.371528 | 576 |
import pandas as pd
import numpy as np
import operator
import warnings
from ml.analysis.hypothesis_testing import HypothesisTester
class HTestAutoPilot:
"""
Chooses what is the most adequate hypothesis test for a given dataset,
based on its datatypes and the assumptions of each test
"""
@staticme... | [
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"""
Initial migration
Revision ID: 4defdf508e78
Revises: (none)
Create Date: 2021-10-19 20:14:59.350979
"""
from alembic import op
import sqlalchemy as sa
from url_shortener.database.functions import utc_now
# revision identifiers, used by Alembic.
revision = '4defdf508e78'
down_revision = None
branch_labels = Non... | [
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37... | 2.780488 | 123 |
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 17 16:25:07 2018
@author: Albert
"""
import pandas as pd
import numpy as np
df = pd.read_csv("./PreprocessedDataFiles/MergedPreprocessedDataFiles/MergedPreprocessedDrinkingDataLabels v2.csv")
# originalDF = df
df['index'] = range(0, len(df))
splitRatio = [0.6,0.2,0.2]
... | [
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2... | 2.431472 | 197 |
import functools
import inspect
import six
from doubles.call_count_accumulator import CallCountAccumulator
from doubles.exceptions import MockExpectationError, VerifyingBuiltinDoubleArgumentError
import doubles.lifecycle
from doubles.verification import verify_arguments
_any = object()
class Allowance(object):... | [
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123... | 2.481454 | 4,071 |
import tensorflow as tf
from network.ConvBlock import conv2d_bn
| [
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# myapp/models.py
from myapp import db
# define model here
| [
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#!/usr/bin/env python
import argparse
import logging
import os
import sys
from distutils.spawn import find_executable
from subprocess import call
if __name__ == '__main__':
logging.basicConfig(format='%(message)s', level=logging.INFO, stream=sys.stdout)
sys.exit(run_tests(parse_args()))
| [
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... | 2.932692 | 104 |
# encoding: UTF-8
from vnpy.trader import vtConstant
from okcoinGateway import OkcoinGateway
gatewayClass = OkcoinGateway
gatewayName = 'OKEX'
gatewayDisplayName = u'OkEx'
gatewayType = vtConstant.GATEWAYTYPE_BTC
gatewayQryEnabled = True
| [
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# -*- coding: utf-8 -*-
import collections
| [
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from lolviz import *
import time
import os
import psutil
def search(root:TrieNode, s:str, i=0) -> bool:
"Return true if s is prefix of word in Trie or full word in Trie"
p = root
while p is not None:
if i>=len(s): return True
e = ord(s[i]) - ord('a')
if p.edges[e] is None: return ... | [
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... | 2.415761 | 368 |
# Copyright 2019 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.
from collections import defaultdict
def _validate_runtime_features_graph(features):
"""
Raises AssertionError when sanity check failed.
@param... | [
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2,
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6738... | 2.537 | 1,000 |
Birds_year0 = 100
Birth_rate = 0.5
Death_rate = 0.2
# We repeat the "for" loop with an additional step: every time bird population reaches 1000, an epidemic kills half of them
Time=[0]
Birds=[100]
for year in range (1,51) :
Birds = Birds + [Birds[-1] + Birds[-1] * Birth_rate - Birds[-1] * Death_rate ]
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... | 2.292969 | 256 |
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 6 00:06:55 2019
@author: -
"""
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import os
from datetime import datetime
from gensim import corpora, models, similarities
from nltk.tokenize import RegexpTokenizer
from nltk.corpus i... | [
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... | 2.651445 | 1,073 |
from getpass import getpass
from django.contrib.auth import get_user_model
from django.core.management.base import BaseCommand
from django.db.utils import IntegrityError
UserModel = get_user_model()
USERNAME_DEFAULT = "player"
class Command(BaseCommand):
"""Create the player special user."""
help = "Creat... | [
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# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: ga4gh/schemas/ga4gh/genotype_phenotype_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from goog... | [
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import os, logging
from typing import Any
from dotenv import load_dotenv
from supabase import create_client, Client
from headlinenews import RSSParser
from postgrest_py import exceptions
| [
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import asyncio
import functools
def futurized(o):
''' Makes the given object to be awaitable.
:param any o: Object to wrap
:return: awaitable that resolves to provided object
:rtype: asyncio.Future
Anything passed to :code:`futurized` is wrapped in :code:`asyncio.Future`.
This makes it await... | [
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1... | 2.289067 | 1,619 |
"""
check engine light
"""
import tkinter as tk
from tkinter import ttk
from typing import TYPE_CHECKING, Dict, Optional
from core.gui.dialogs.dialog import Dialog
from core.gui.themes import PADX, PADY
from core.gui.widgets import CodeText
from core.gui.wrappers import ExceptionEvent, ExceptionLevel
if TYPE_CHECKING... | [
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""" Game fix for STAR WARS Galactic Battlegrounds Saga
"""
#pylint: disable=C0103
from protonfixes import util
| [
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] | 3.228571 | 35 |
a=1
b=2
c=3
d=4
你是不是个沙雕
f=6
| [
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] | 0.848485 | 33 |
import os
import uuid
from viadot.sources import AzureDataLake
from viadot.tasks import (
AzureDataLakeDownload,
AzureDataLakeToDF,
AzureDataLakeUpload,
AzureDataLakeCopy,
AzureDataLakeList,
)
uuid_4 = uuid.uuid4()
uuid_4_2 = uuid.uuid4()
file_name = f"test_file_{uuid_4}.csv"
file_name_2 = f"test... | [
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11,
198,
220,
220,
220,... | 2.428571 | 266 |
#Author: Satwik Bhattamishra
import tensorflow as tf
import numpy as np
import tensorflow.examples.tutorials.mnist.input_data as input_data
if __name__ == '__main__':
denoising_autoencoder()
| [
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62... | 2.746479 | 71 |
# -*- coding: utf-8 -*-
"""
@Time : 2020/10/25 17:14
@Auth : Qi
@IDE : PyCharm
@Title: 845. 数组中的最长山脉
@Link : https://leetcode-cn.com/problems/longest-mountain-in-array/
"""
if __name__ == '__main__':
# 测试用例
s = Solution()
print(s.longestMountain([2, 1, 4, 7, 3, 2, 5]))
print(s.longestMountain([0, 1,... | [
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31,
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220,
1058,
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1925,
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198,
31,
19160,
25,
807... | 1.814286 | 210 |
import os
import time
import cv2
from inference_new import *
import argparse
from glob import glob
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Command for running the Inpainting Pipeline on RGBD satellite imagery")
parser.add_argument('--gpu', type=str, default='0', help='the gpu ... | [
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220,
220,
... | 2.877651 | 613 |
from __future__ import print_function
from __future__ import division
from builtins import zip
from builtins import range
from builtins import object
from past.utils import old_div
__author__ = 'grburgess'
import collections
import os
import numpy as np
import pandas as pd
from pandas import HDFStore
from threeML.ex... | [
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6... | 3.52356 | 191 |
import requests
import json
from flask.cli import FlaskGroup
from flask import jsonify
from serivce.app import create_app
app = create_app()
data = json.dumps(dict(name='service', port='8000'))
headers = {'Content-type': 'application/json'}
requests.post('http://localhost:5000/instance', headers=headers, data=data)... | [
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... | 3.056 | 125 |
"""Canvas that displays the full game board."""
# Standard Python Libraries
import tkinter as tk
# Third-Party Libraries
import numpy as np
from . import constants
from .board import DorfBoard
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import requests
from bs4 import BeautifulSoup
from tabulate import tabulate
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Parser test for MacOS Cups IPP Log files."""
import unittest
from dfvfs.helpers import fake_file_system_builder
from dfvfs.path import fake_path_spec
from plaso.lib import definitions
from plaso.lib import errors
from plaso.parsers import cups_ipp
from tests.parsers... | [
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from colorama import Fore
from oeda.log import *
from oeda.rtxlib.preprocessors.SparkPreProcessor import SparkPreProcessor
def init_pre_processors(wf):
""" we look into the workflows definition and run the required preprocessors """
if hasattr(wf, "pre_processors"):
pp = wf.pre_processors
for... | [
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# -*- coding: utf-8 -*-
"""
Language translation.
"""
__all__ = [
"ThZhTranslator",
"ZhThTranslator",
"Translate"
]
from pythainlp.translate.core import Translate
from pythainlp.translate.zh_th import (
ThZhTranslator,
ZhThTranslator,
)
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# Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test Custom Attribute Definition validation"""
import unittest
from mock import MagicMock
from ggrc.models import all_models
from ggrc.access_control import role as acr
class TestCustomAttributeDefini... | [
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file = open("13")
sum = 0
for numbers in file:
#print(numbers.rstrip())
numbers = int(numbers)
sum += numbers;
print(sum)
sum = str(sum)
print(sum[:10])
| [
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... | 2.342466 | 73 |
"""
MIT License
Copyright (c) 2016 deeplearningathome. http://deeplearningathome.com/
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
... | [
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48... | 3.408293 | 627 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'Jiayi Li'
import time, os, re
from bson.objectid import ObjectId
from werkzeug.utils import secure_filename
from flask import request, redirect, url_for, jsonify, abort, Blueprint, make_response, g, flash, current_app
from app import db
from app.models im... | [
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... | 2.134409 | 4,650 |
import cv
# TODO: This class doesn't seem to be used and is based on old OpenCV bindings.
# Either finish the class or remove it.
def convert_np_to_cvmat(img_np):
"""
This gives a: AttributeError: 'numpy.ndarray' object has no attribute
'from_array'
ImageAlignment.template_image = ImageAlignment.temp... | [
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14... | 2.468504 | 254 |
#!/usr/bin/env python
"""
Script that uses output from cutadapt to quickly detect fully overlapping pairs.
It is based on the fact that if sequencing adapters are trimmed from both paired-ends, the resulting
fragment needs to be shorter than the pair-end length
Depends of cutadapt seqio and xopen modules from version ... | [
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262,
1109,
326,
611,
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422,
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... | 3.455901 | 805 |
import torch
import torch.nn as nn
import torch.nn.functional as F
| [
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from battleship.grid import Grid, Outcome
from battleship.ship import Ship
| [
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] | 3.809524 | 21 |
import copy
import pytest
from typing import Tuple, Optional
import torch
from torch_sparse import SparseTensor
from torch_sparse.matmul import spmm
from torch_geometric.nn import MessagePassing
from torch_geometric.utils import softmax
edge_index = torch.tensor([
[0, 0, 0, 1, 1],
[0, 1, 2, 0, 2],
])
adj_t = ... | [
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... | 2.526316 | 190 |
# Author : Ali Snedden
# Date : 3/21/20
# License: MIT
# Purpose:
# This code plots the Johns Hoptins Covid-19 Data
#
#
#
# Notes :
#
# References :
# 1. https://github.com/CSSEGISandData/COVID-19
#
#
# Future:
#
#
#
import sys
import numpy as np
import time
import pandas as pd
from matplotlib imp... | [
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#! /usr/bin/env python3
# -*- coding:utf-8 -*-
###############################################################
# © kenwaldek MIT-license
#
# Title: tkinter_image Version: 1.0
# Date: 26-12-16 Language: python3
# Description: tkinter inladen van image en text ... | [
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220,... | 2.588235 | 204 |
from django.apps import AppConfig
| [
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] | 3.888889 | 9 |
#!/usr/bin/env python
import logging
import time
from urllib.parse import urljoin
import requests
from relay_sdk import Interface, Dynamic as D
relay = Interface()
relay_api_url = relay.get(D.connection.relayAPIURL)
relay_api_token = relay.get(D.connection.token)
run_id = relay.get(D.id)
headers = {'Authorization... | [
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... | 2.553488 | 430 |
#!/usr/bin/python
# you need to config this!
# set the model file, and if the model supports big-grams: set seed with bigrams..
## the conf dict stores all relevant config parameters
conf={}
conf['model'] = "climate2_2015_7.txt.2gram.small.model" # default dummy model
#conf['model'] = "climate2_2015_7.txt.2gram.mod... | [
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628,
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863... | 3.213462 | 520 |
from .neumiss_layer import NeuMiss
from .neumiss_mlp import NeuMissMLP
| [
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"""
REST API Resource Routing
http://flask-restplus.readthedocs.io
"""
from datetime import datetime
from flask import request
from flask_restplus import Resource
from .security import require_auth
from . import api_rest
from .func import *
from .engine import * # wildcard import the TTDS lib
class SecureResou... | [
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198,
6738,
42903,
... | 3.231061 | 264 |
#sachin_katageri
#SKATCODE
from tkinter import*
me=Tk()
me.geometry("354x460")
me.title("CALCULATOR")
melabel = Label(me,text="CALCULATOR",bg='White',font=("Times",30,'bold'))
melabel.pack(side=TOP)
me.config(background='Dark gray')
textin=StringVar()
operator=""
metext=Entry(me,font=("Courier N... | [
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13,
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7203,
32182,
87,
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4943,
201,
19... | 2.08388 | 1,371 |
def SortArrayByArgMinIndex(array,index):
''' MAKE SURE TO SORT BY MOST IMPORTANT INDEX LAST!!! '''
a = array
L = len(a)
for i in range(L):
temp = a[i]
flag = 0
j = 0
while j < i and flag == 0:
if temp[index] < a[j][index]:
a[j+1] = a[j]
a[j] = temp
j += 1
else:
flag = 1
return(a)
| [
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64,
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198... | 1.95679 | 162 |
# This file lists files which should be ignored by pytest
collect_ignore = ["setup.py", "connery.py", "connery/modules/ipython.py"]
| [
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1600,
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14,
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14,
541,
7535,
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] | 3.3 | 40 |
"""
Tests for `nas` module.
"""
import pytest
from nas import nas
| [
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] | 3.045455 | 22 |
#%%
import os
# IN_FILE = 'test.ncm'
# OUT_FILE = IN_FILE.split('.')[0]
fileToC('up5.html','htmlData')
# %%
| [
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417... | 2.134615 | 52 |
"""
This module is the concrete implementation of S2FGAN.
This module structure is following:
make_kernel is used to intialise the kernel for blurring image
Blur, a layer used to apply blur kerbel to input
PixelNorm, a layer used to apply pixel normalization
EqualConv1d, convolution 1d with equalized le... | [
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... | 2.604938 | 729 |
#\input texinfo
"""
Searching for names with given scope and name. This is very central in Jedi and
Python. The name resolution is quite complicated with descripter,
``__getattribute__``, ``__getattr__``, ``global``, etc.
Flow checks
+++++++++++
Flow checks are not really mature. There's only a check for ``isinstanc... | [
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198,
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198,
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278,
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13,
383,
1438,
6323,
318,
2407,
8253,
351,
1715,
5528,
353,
11,
198,
15506,
8... | 2.610565 | 3,256 |
#!/usr/bin/env python
"""
A Python implementation of ANSI X9.31 using AES 128, following:
http://csrc.nist.gov/groups/STM/cavp/documents/rng/931rngext.pdf
Copyright (C) 2015 - Brian Caswell <bmc@lungetech.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associat... | [
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1395,
24,
13,
3132,
1262,
34329,
13108,
11,
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25,
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198,
4023,
1378,
6359,
6015,
13,
77,
396,
13,
9567,
14,
24432,
14,
2257... | 2.387413 | 1,732 |
import typing
# Segment Tree | [
11748,
19720,
198,
198,
2,
1001,
5154,
12200
] | 3.625 | 8 |
import pandas as pd
from unittest2 import TestCase # or `from unittest import ...` if on Python 3.4+
import category_encoders as encoders
| [
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6536,
62,
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375,
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... | 3.065217 | 46 |
import unittest
import pythonioc
class TestDepCycle(unittest.TestCase):
"""
Regression test for issue #3 dependency cycle on error.
"""
| [
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20203,
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... | 2.941176 | 51 |
import os
import fabtools
from fabtools import require
from fabric.api import task, sudo, cd
from fabric.colors import cyan
from dploy.context import ctx
from dploy.utils import git_dirname
@task
def checkout():
"""
Checkouts the code on the remote location using git
"""
branch = ctx('git.branch')
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17602... | 2.253463 | 722 |
number = 100
factorialnumber = factorial(number)
print(f"Factorial({number}) = {factorialnumber}")
sumfactorialnumber = sum_of_digits(factorialnumber)
print(
f"Sum of digits in the factorial number({number}) = {sumfactorialnumber}")
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... | 2.829545 | 88 |
#
# PySNMP MIB module HPN-ICF-STACK-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-STACK-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:41:29 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | [
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"""
Feature extraction algorithms.
Each algorithm works on the HandwrittenData class. They have to be applied like
this:
>>> import hwrt.features
>>> from hwrt.handwritten_data import HandwrittenData
>>> data_json = '[[{"time": 123, "x": 45, "y": 67}]]'
>>> a = HandwrittenData(raw_data_id=2953, raw_data_json=data_jso... | [
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17034... | 2.228287 | 7,530 |
from rest_framework import permissions, viewsets, generics, filters
from .serializers import JobsSerializer, HousingSerializer, ApplicantSerializer, HeatmapSerializer
from .models import Jobs, Housing, Applicant, Heatmap
from .data_collection.collect_data import CollectData
from django.shortcuts import render
debug... | [
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764... | 3.831579 | 95 |
from django.views.generic import DetailView
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.urls import reverse_lazy
from core.views import PaginatedListView
from .models import Tag, Ingredient, Recipe
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... | 3.669683 | 221 |
import unittest
from libcet import cet
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"""Companies app"""
# Django
from django.apps import AppConfig
class CompaniesAppConfig(AppConfig):
"""Companies app config"""
name = "paranuara.companies"
verbose_name = 'Companies'
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1438,... | 3.15873 | 63 |
from quasargui import *
layout = QInput(
classes='q-ma-lg',
label='Your city',
children=[
Slot('prepend', [
QIcon('place')
])
])
run(layout, title='slots example')
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... | 2.1 | 100 |
import io
import pathlib
from collections import namedtuple
from typing import Any, Dict, List, Optional, Tuple, Iterator, Union
from torchdata.datapipes.iter import IterDataPipe, Mapper, Zipper
from torchvision.prototype import features
from torchvision.prototype.datasets.utils import (
Dataset,
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18... | 1.790132 | 1,439 |