content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
#!/usr/bin/env python
"""
A toolkit for identifying and advertising service resources.
Uses a specific naming convention for the Task Definition of services. If you
name the Task Definition ending with "-service", no configuration is needed.
This also requires that you not use that naming convention for task definiti... | [
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... | 2.468531 | 3,289 |
# -*- coding:utf8 -*-
import json
import requests
import re
import datetime
import MySQLdb
from multiprocessing import Pool
# 自己的数据库
db_conf = {
}
db = MySQLdb.connect(host=db_conf.get('host'), user=db_conf.get('user'), port=db_conf.get('port'),
passwd=db_conf.get('passwo... | [
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... | 1.786635 | 2,095 |
import tensorflow as tf
| [
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] | 3.571429 | 7 |
import re
def is_valid_username(username):
"""A username is valid if it fulfills the following conditions:
- Contains at least 8 characters and at most 12 characters
- Only contains letters from A to Z, a to z and digits from 0 to 9
- Contains at least one digit
- Must start with a capital letter
... | [
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... | 2.625935 | 401 |
# Copyright (c) 2020 PaddlePaddle 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 appli... | [
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2,
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366,
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15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845... | 2.62212 | 651 |
import socket
import urllib
| [
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] | 3.5 | 8 |
s1 = "A 'string' literal \n"
s2 = 'You may use any of \' or " as delimiter'
s3 = """This text
goes over several lines
up to the closing triple quote"""
| [
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... | 2.793103 | 58 |
import simplejson
import uuid
from amqplib import client_0_8 as amqp
DEFAULT_HOST = '127.0.0.1'
DEFAULT_USER_ID = 'guest'
DEFAULT_PASSWORD = 'guest'
DEFAULT_VHOST = '/'
DEFAULT_PORT = 5672
DEFAULT_INSIST = False
DEFAULT_QUEUE = 'default_queue'
DEFAULT_ROUTING_KEY = 'default_routing_key'
DEFAULT_EXCHANGE = 'default_ex... | [
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62,... | 2.338095 | 630 |
from django.db import models
from django.conf import settings
from django.utils.translation import gettext_lazy as _
from django.urls import reverse
from krankit.utils.models import BaseModel
| [
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... | 3.545455 | 55 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2019-01-13 08:04
from __future__ import unicode_literals
from django.db import migrations
| [
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198,... | 2.709091 | 55 |
LATENT_SIZE, BATCH_SIZE = 128, 128
STATS = (0.5, 0.5, 0.5), (0.5, 0.5, 0.5)
SAVE_DIR = "generated"
| [
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4090... | 1.818182 | 55 |
from .base import PediaDictionary
__all__ = ["PediaDictionary"]
| [
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] | 3.095238 | 21 |
import utils
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from tensorflow.keras.applications.vgg16 import VGG16
from tensorflow.keras.applications.vgg16 import preprocess_input
from sklearn.cluster import KMeans
from sklearn.model_selection import... | [
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1... | 2.494687 | 847 |
from utils import *
import random
| [
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] | 3.888889 | 9 |
"""Implementation of a search source based on our internal data."""
from ichnaea.api.locate.blue import BluePositionMixin, BlueRegionMixin
from ichnaea.api.locate.cell import CellPositionMixin, CellRegionMixin
from ichnaea.api.locate.constants import DataSource
from ichnaea.api.locate.source import PositionSource, Reg... | [
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... | 3.267559 | 299 |
"""
given a sorted list of integers, recursively find if a given value, val, is in the array or not
"""
print(binarySearch([0, 2, 4, 6, 7, 8, 8], 8)) # true
print(binarySearch([0, 2, 4, 6, 7, 8, 8], 1)) # false
print(binarySearch([0, 2, 4, 6, 7, 8, 8], -1)) # false
print(binarySearch([0, 2, 4, 6, 7, 8, 8], 0)) #... | [
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... | 2.469697 | 132 |
import bcrypt
| [
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] | 3.2 | 5 |
class MissingExecutable(Exception):
"""Exception raised when a package manager executable is missing"""
pass
class UnknownManager(Exception):
"""Exception raised when a requested package manager is unknown"""
pass
| [
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... | 4.142857 | 56 |
from unittest.mock import patch
from icat.exception import ICATError
import pytest
from datagateway_api.src.common.config import Config
from datagateway_api.src.common.constants import Constants
from datagateway_api.src.common.exceptions import PythonICATError
from datagateway_api.src.datagateway_api.backends import ... | [
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13,
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17056... | 3.171642 | 134 |
import pandas as pd
import config
import ujson
# limit top n per day
DAILY_LIMIT = 100
hackernews = pd.read_feather(config.DATA_DIR / "intermediate/hackernews_github.feather")
# remove posts with no points
hackernews = hackernews[~hackernews["points"].isna()]
# remove posts with no url
hackernews = hackernews[hacke... | [
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#!/usr/bin/env python3
# Copyright 2017 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Tools to finalize a factory bundle."""
import argparse
import concurrent.futures
import contextlib
import errno
import glob
imp... | [
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198... | 2.493228 | 12,994 |
from django_filters import rest_framework as filters
from .models import Record
| [
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] | 4.263158 | 19 |
#!/usr/bin/python
import os, string
print "Counting lines in all Kotlin (*.kt) files:"
codefiles = []
dirinfo = os.walk(os.getcwd())
for item in dirinfo:
for f in item[2]:
if f[-2:] == 'kt':
codefiles.append([item[0],"/",f])
lines = 0
code_lines = 0
for f in codefiles:
this_lines = 0
... | [
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... | 2.100604 | 497 |
# Generated by Django 2.1.5 on 2019-01-06 07:10
from django.db import migrations, models
import django.db.models.deletion
def make_config(apps, schema_editor):
"""まだ設定が作成されていない場合，デフォルトの設定を生成する"""
Course = apps.get_model('courses', 'Course')
Config = apps.get_model('courses', 'Config')
db_alias = sche... | [
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6... | 2.183784 | 370 |
from torch import nn
from src.encoder import encoder_dict
from src.conv_onet import models
from src.conv_onet import generation
from src.common import decide_total_volume_range, update_reso
def get_model(cfg, device=None, dataset=None, **kwargs):
''' Return the Occupancy Network model.
Args:
cfg (dic... | [
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540... | 2.120819 | 2,392 |
# -*- coding: utf-8 -*-
# Copyright 2018 yukoga. 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... | [
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... | 4.034826 | 201 |
from typing import List, Set, Iterator
from .dal import (
parse_export,
FullTraktExport,
PartialHistoryExport,
TraktExport,
HistoryEntry,
)
def read_and_merge_exports(files: List[str]) -> FullTraktExport:
"""
Given multiple files as inputs, parses and merges
the exports into one full,... | [
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... | 2.674956 | 563 |
import os
import sys
from random import Random
from wai.annotations.main import main as wai_annotations_main
from sample import *
from sample.splitters import RandomSplitter, TopNSplitter
BS = 5
NUM_EPOCHS = int(sys.argv[2])
SEED = 42
VALIDATION_PERCENT = 0.15
GPU = sys.argv[5]
LR = float(sys.argv[6])
RANDOM = Rand... | [
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... | 1.966351 | 3,269 |
from channels.exceptions import DenyConnection
from channels.generic.websocket import JsonWebsocketConsumer
from django.contrib.auth import get_user_model
class NonAnonymousJsonWebsocketConsumer(JsonWebsocketConsumer):
"""
Only allows non anonymous users to connect
"""
user = None
def send_msg(s... | [
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198... | 3.035928 | 167 |
from __future__ import print_function
import pandas as pd
from Bio import SeqIO
import glob
import re
import os
import sys
import gzip
import distance
import argparse
TAB=chr(9)
EOL=chr(10)
comp = {'A':'T','C':'G','G':'C','T':'A'}
args = parseArguments()
if args.chrom_only:
chroms = [ args.ch... | [
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... | 1.973616 | 1,554 |
'''
Instituto Tecnologico Nacional de Mexico
Jose Mario Molina Pasquel y Henriquez
Desarrollador: Edgar Noel Espino Cordova
Funcion del Programa: Generacion de valores 'y'
con base en la ecuacion de
distribucion normal.
Fecha: 08 de Marzo del ... | [
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... | 2.024823 | 282 |
'''import the required packages and read the file.'''
import tensorflow as tf
import tensorflow.feature_column as fc
import numpy as np
import os
import sys
import matplotlib.pyplot as plt
from IPython.display import clear_output
from sklearn.preprocessing import Imputer
from sklearn.metrics import recall_score
tf.... | [
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7061,
198,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
11192,
273,
11125,
13,
30053,
62,
28665,
355,
277,
66,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28686... | 2.610403 | 3,922 |
"""
Null implementation for Pixel LED display.
"""
pixels = Pixels()
| [
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3359,
13,
198,
37811,
198,
198,
79,
14810,
796,
350,
14810,
3419,
198
] | 3.5 | 20 |
import os
| [
11748,
28686,
628
] | 3.666667 | 3 |
from ze_mailer.app.core.messages import Info
import re
class UtilitiesMixin:
"""A mixin used to extend classes with various definitions on
repetitive tasks on names such as normalizing them etc.
"""
@staticmethod
def check_name_structure(name):
"""Check the structure of a name. Sometimes, ... | [
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32,
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259,
973,
284,
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351,
2972,
17336,
319,
220,
198,
2... | 2.081226 | 2,056 |
from datetime import datetime
from mpsiem_api.base_functions.base import LoggerHandler
class Credentials:
"""Интерфейс для параметров аутентификации"""
class AuthInterface:
"""Интерфейс класса аутентификации"""
class EventInterface(LoggerHandler):
"""Интерфейс событий из MP EventViewer"""
@prope... | [
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25,
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220,
220,
220,
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140,
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22177,
20375,... | 1.85782 | 211 |
from types import TracebackType
from typing import Any, Generator, Optional, Type
from asyncpg import Connection, create_pool
from asyncpg.pool import Pool
__all__ = ["Engine"]
| [
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13,
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198,
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439,
834,
7... | 3.851064 | 47 |
"""
Convert all the taxonomy IDs to rank so that we are always talking
about the same thing
"""
import sys
import taxon
try:
rank = sys.argv[1]
except:
sys.exit(sys.argv[0] + " rank to use ... eg. species or genus")
taxa = taxon.readNodes()
with open("all_host_taxid.txt", 'r') as rin:
for l in rin:
... | [
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198,
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220,
220,
220,
4279,
796... | 2.064286 | 280 |
#! /usr/bin/python
import sys
import os
import numpy
if len(sys.argv) < 2:
print "Usage: do_hist <input_file>"
sys.exit(-1)
wr_nums = []
rd_nums = []
parse_errors = 0
range_errors = 0
print "Loading data..."
line_num = 0
for line in open(sys.argv[1]):
try:
#WR 0 3400 0.9994 12.1195
(typ,idx,cyc,us,g... | [
2,
0,
1220,
14629,
14,
8800,
14,
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198,
198,
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7,
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25,
198,
220,
220,
220,
3601,
366,
28350,
25,
466,
62,
10034,
12... | 2.153169 | 568 |
"""
DeepLabCut2.0 Toolbox (deeplabcut.org)
© A. & M. Mathis Labs
https://github.com/AlexEMG/DeepLabCut
Please see AUTHORS for contributors.
https://github.com/AlexEMG/DeepLabCut/blob/master/AUTHORS
Licensed under GNU Lesser General Public License v3.0
"""
import os
import numpy as np
import matplotlib as mpl
import ... | [
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262... | 2.175554 | 1,219 |
import numpy as np
from .functions import relu, d_relu, one_hot_convert
class Linear:
""" A linear layer that performs the operation
W X + b
Args:
- n_inputs (int): number of inputs
- n_outputs (int): number of outputs
"""
def __call__(self, X, cache=False):
""" Performs a ... | [
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198... | 2.254673 | 428 |
"""Layers are the building blocks of a Neural Network.
A complete Neural Network model consists of several layers.
A Layer is a function that receives a tensor as output,
computes something out of it, and finally outputs a tensor.
NeuralPy currently supports only one type of Layer and
that is the Dense layer.
"""
fro... | [
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... | 3.574468 | 141 |
ACCOUNT_NAME = 'Hoptec'
| [
26861,
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62,
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6,
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] | 2.4 | 10 |
from distutils.core import setup
from catkin_pkg.python_setup import generate_distutils_setup
# fetch values from package.xml
setup_args = generate_distutils_setup(
packages=['hfts_grasp_planner'],
package_dir={'': 'src'},
requires=['rospy', 'numpy', 'yaml', 'rtree', 'tf', 'stl',
'sklearn', '... | [
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13,
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198,
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62,
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7716,
62,
17080,
267... | 2.518987 | 158 |
MAX = 100
gold = [[1, 3, 1, 8],
[2, 9, 8, 1],
[7, 0, 1, 3],
[0, 6, 1, 2]]
m = 4
n = 4
print(getMaxGold(gold, m, n))
| [
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11,
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4357,
198,
220,
220,
220,
220,
220,
220,
220,
685,
22,
11,
65... | 1.576087 | 92 |
import gmpy
e = 3
n1 = 7156756869076785933541721538001332468058823716463367176522928415602207483494410804148006276542112924303341451770810669016327730854877940615498537882480613
n2 = 11836621785229749981615163446485056779734671669107550651518896061047640407932488359788368655821120768954153926193557467079978964149306... | [
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1433,
3510,
2091,
3134,
1558,
2996,
23539,
30336... | 2.033445 | 598 |
# Lint-as: python3
# Copyright 2020 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
from .core import *
from .tools import CompilerToolError
| [
2,
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13,
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# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
import os
import unittest
from typing import Any
from unittest.mock import MagicMock, patch
from manifests.test_manifest impor... | [
2,
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12,
17,
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2,
1... | 3.342657 | 143 |
# The ReactRoleTagger cog and all associated commands and data.
import os
import pickle
from datetime import datetime
from collections import defaultdict
from typing import Union, List, Optional
import discord as dc
from discord.ext import commands
from cogs_textbanks import url_bank, query_bank, response_bank
from b... | [
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6738,
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1330,
4479,
11,
7343,
... | 3.319149 | 141 |
import sklearn
from sklearn import svm, metrics, model_selection
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.ensemble import RandomForestRegressor
from sklearn.feature_selection import SelectFromModel
... | [
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... | 2.257534 | 365 |
#!/usr/bin/evn python
import sys
import os
import time
import os as sistema
# Set color
R = '\033[31m' # Red
N = '\033[1;37m' # White
G = '\033[32m' # Green
O = '\033[0;33m' # Orange
B = '\033[1;34m' #Blue
os.system("cd banner;python2 banner4.py")
print
print ("\033[49m Welcome To Virus-X ... | [
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76,
6,
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2297,... | 1.906367 | 267 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Description : This code generates yaml file that can be parsed by MultiQC,
including input data information
Copyright : (c) LemasLab, 02/23/2020
Author : Xinsong Du
License : MIT License
Maintainer : xinsongdu@ufl.edu, manfiol@ufl.edu, djlemas@... | [
2,
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307,
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48,
34,
11,
198,
220,
... | 2.287172 | 1,372 |
""" Test the virtual machine. """
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import os
import sys
import mock
import pytest
sys.path.append(os.path.join('..', '..', 'snake'))
from snake.vm import MEMORY_SIZE
from snake.vm import System
@pytest.fixture()
def system():
... | [
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33245,
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28686,
198,
11748,
25064,
198... | 2.382937 | 1,512 |
"""
【Python魔术方法】常规魔术方法
"""
"""
__str__魔术方法：
在打印某个对象的时候，通常显示的是这个对象所属类的名字以及内存地址，这种样子是不适合人类来阅读的。
因此如果你想在打印某个对象的时候能更加友好一点，那么你可以自己重写这个方法，并且你自己定义好字符串再返回：
在没有重写__str__函数的时候，打印出来的对象是
类名+地址
例：<__main__.Person object at 0x02A708F0>
__repr__魔术方法：
这个魔术方法是用来表述一个对象的，用于给机器看的。这样说可能不好理解，这里以两个小案例说明这个魔术方法的一个用法：
未使用__repr__魔术方法：
例：[<__m... | [
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2536,
834,
20804,
17312,
107,
43095,
37345,
243,
171,
120,
248,... | 1.0054 | 926 |
# 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 u... | [
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13,
220,
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2,
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428,
670,
329,
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1321,
198,
2,
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9238,
13,
220,
383,
7054,... | 2.765746 | 1,810 |
"""The ship module.
Defines the ship class, and the ship-breakup class (for when
death happens)."""
import math
import random
import pyxel
from bullet import Bullet
from utils import check_bounds, rotate_around_origin, Point
import constants
import sound
class Ship:
"""The ship class.
The ship class des... | [
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198,
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10688,
198,
11748,
4738,
198,
198,
11748,
12972,
87,
417,
198... | 2.125495 | 3,785 |
from django.shortcuts import render, get_object_or_404
from .models import Category, Product
from cart.forms import CartAddProductForm
from django.views.generic import (
ListView,
DetailView
)
'''
class ProductListView(ListView):
template_name = 'shop/product/list.html'
queryset = Product.objects.all(... | [
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42625,
14208,
13,
... | 2.847826 | 184 |
# Copyright 2020 Roeland Wiersema
#
# 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 agreed to in writ... | [
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1... | 2.137628 | 7,840 |
#!/usr/bin/python3
#
# Stephen Vondenstein, Matthew Buckley
# 10/14/2018
#
import os
# Add parent to project root so we can import project files
import sys
sys.path.append('..')
import numpy as np
import pandas as pd
import math
import cv2
from tqdm import tqdm
from src.utils.parser import get_args
from src.utils.util... | [
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284,
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6808,
523,
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460,
1330,
1628,
3696,
... | 2.853933 | 267 |
import pytest
| [
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198,
220,
220,
220,
220,
220,
220,
220,
198
] | 1.833333 | 12 |
# ===============================================================================
# Copyright 2017 ross
#
# 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/LICE... | [
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11,
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2,
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743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13... | 3.704388 | 433 |
import httplib
import os.path
import requests
import six
from simplekit import settings
from simplekit.exceptions import MailException
PRIORITY_NORMAL = 0
PRIORITY_LOW = 1
PRIORITY_HIGH = 2
CONTENT_TYPE_HTML = 0
CONTENT_TYPE_TEXT = 1
ENCODING_UTF8 = 0
ENCODING_ASCII = 1
ENCODING_UTF32 = 2
ENCODI... | [
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... | 2.117479 | 349 |
import re
from requests_html import HTMLSession
from datetime import datetime
from urllib.parse import quote
from bs4 import BeautifulSoup
from logger import Logger
session = HTMLSession()
def get_tweets(query, pages=25):
"""Gets tweets for a given user, via the Twitter frontend API."""
logger = Logger()
... | [
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... | 2.517888 | 587 |
import numpy as np
import pandas as pd
header = ['user_id','item_id','rating','timestamp']
src_data = pd.read_csv('ml-100k/u.data',sep = '\t',names = header)
unique_user_count = src_data.user_id.nunique() #查看用户去重个数
unique_item_count = src_data.item_id.nunique() #查看物品去重个数
... | [
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961,
62,... | 1.900452 | 221 |
from telethon import TelegramClient
import os
| [
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28686,
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] | 4 | 12 |
"""
UUID related utilities and helper functions.
"""
import uuid
def is_uuid_like(val):
"""Returns validation of a value as a UUID.
For our purposes, a UUID is a canonical form string:
aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa
"""
try:
return str(uuid.UUID(val)) == val
except (TypeError... | [
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... | 2.695652 | 138 |
#!/usr/bin/env python
"""
"""
import os
import time
import shutil
import numpy as np
from random import randrange
from functools import partial
from datetime import timedelta
import wx
import wx.lib.scrolledpanel as scrolled
import wx.lib.mixins.inspection
HAS_EPICS = False
try:
import epics
from epics.wx imp... | [
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1... | 2.463918 | 388 |
""" Cisco_IOS_XR_subscriber_pppoe_ma_oper
This module contains a collection of YANG definitions
for Cisco IOS\-XR subscriber\-pppoe\-ma package operational data.
This module contains definitions
for the following management objects\:
pppoe\: PPPoE operational data
Copyright (c) 2013\-2017 by Cisco Systems, Inc.
A... | [
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381,... | 1.362846 | 74,409 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 26 20:46:03 2018
@author: daniel
cons(a, b) constructs a pair, and car(pair) and cdr(pair) returns the first and
last element of that pair. For example, car(cons(3, 4)) returns 3,
and cdr(cons(3, 4)) returns 4.
Given this implementation of cons:
... | [
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31,
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6321,
198,... | 2.492537 | 201 |
"""clean.py
Drop and encode features specified in config.json.
"""
import os
import sys
import argparse
import category_encoders as ce
import pandas as pd
from src.log import Logger
log = Logger('clean')
class Cleaner():
"""Drop and encode columns in a dataframe. Additionally, drops rows with NA values.
A... | [
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11748... | 2.957854 | 261 |
"""
EULA APP
This module provides a form for the user to be able to accept
the EULA.
Classes:
SignEULAForm
Functions:
n/a
Created on 23 Oct 2013
@author: michael
"""
from django import forms
from django.contrib.contenttypes.models import ContentType
from tunobase.core import utils as core_utils
from tunob... | [
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... | 2.229805 | 718 |
from subprocess import PIPE, STDOUT, Popen
# edax config
edax_level = 1
edax_path = "./edax/Edax"
edax_eval_path = "./edax/data/eval.dat"
edax_book_path = "./edax/data/book.dat"
| [
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6... | 2.246914 | 81 |
#!/usr/bin/python3
"""
This program handles the relay for the lights.
"""
from time import sleep, localtime, strftime
from datetime import datetime
from astral import Astral # For sunset and sunrise
import RPi.GPIO as GPIO
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
prin... | [
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... | 2.860294 | 136 |
"""
cepelblog/core/views.py
"""
from cepelblog.models import BlogPost, Tag
from flask import render_template, request, Blueprint
core = Blueprint('core', __name__)
# -----------------------------------------------------------------------------
# INDEX VIEW
# ----------------------------------------------------------... | [
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796... | 6.241667 | 120 |
import os
import glob
import numpy as np
import time
import matplotlib.pyplot as plt
from PIL import ImageOps, Image
from keras.models import load_model
import keras.backend as K
from shutil import copyfile
# K.set_image_data_format('channels_last')
K.set_learning_phase(0)
if __name__ == '__main__':
path_models =... | [
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133... | 1.845293 | 1,519 |
""" Example of non-nested structure with translation and rotations """
from larlib import *
square = larCuboids([1,1])
table = larApply( t(-.5,-.5) )(square)
chair = larApply( s(.35,.35) )(table)
chair1 = larApply( t(.75, 0) )(chair)
chair2 = larApply( r(PI/2) )(chair1)
chair3 = larApply( r(PI/2) )(chair2)
chair4 = la... | [
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... | 2.29 | 200 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.16 on 2018-12-13 19:15
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import uuid
| [
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198,
... | 2.767123 | 73 |
import numpy as np
class LinearRegression:
"""
A linear regression model with polynomial basis functions.
Args:
lamb: float, regularization factor.
"""
def fit(self, X, Y):
"""
Trains the model using the specified features and
target values.
Args:
... | [
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... | 2.20462 | 606 |
#import numpy as np
from sklearn.externals import joblib
| [
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198
] | 3.105263 | 19 |
"""
* Assignment: Numpy Polyfit
* Complexity: easy
* Lines of code: 4 lines
* Time: 8 min
English:
1. Given are points coordinates in Cartesian system
2. Separate first row (header) from data
3. Calculate coefficients of best approximating polynomial of 3rd degree
4. Run doctests - all must succeed
Po... | [
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389,
2173,
22715,
287,... | 2.224576 | 472 |
#!/usr/bin/env 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
#... | [
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... | 2.325779 | 9,046 |
from django.db import models
from django.contrib.auth.models import User
from tinymce.models import HTMLField
# Create your models here.
| [
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15878,
198,
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2,
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534,
4981,
994,
13,
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] | 3.564103 | 39 |
from tweet_builder import TweetBuilder
| [
6738,
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62,
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18752,
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198
] | 4.875 | 8 |
# PigletC
from .raddsl_parse import *
from .term import *
ast_integer = to(2, lambda p, x: Int(int(x), pos=p))
ast_op = to(2, lambda p, x: Op(x, pos=p))
ast_bop = to(3, lambda x, o, y: Bop(o[1], x, y, pos=attr(o, "pos")))
ast_assign = to(2, lambda x, y: Assign(x, y, pos=attr(x, "pos")))
ast_call = to(2, lambda x, ... | [
2,
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7,
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... | 2.298701 | 924 |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.parameter import Parameter
from data.data_helper import BasicDataset
from src.layers import GraphConvolution
# class GCN(nn.Module):
# def __init__(self, nfeat, nhid, nclass, dropout):
# super(GCN, self).__init__(... | [
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... | 2.043186 | 1,042 |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
=================================================
@Project ：aste
@IDE ：PyCharm
@Author ：Mr. Wireless
@Date ：2021/12/24 10:19
@Desc ：
==================================================
"""
import itertools
from typing import List
import torch.nn as nn
import... | [
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... | 2.889831 | 118 |
""" A very simple Tosca daemon. Every ten seconds it looks for new programs in
"run" or "destroy" status, and executes them.
TODO: Replace this with observer and/or model_policies ?
"""
import os
import sys
from threading import Thread
import time
# add the parent directory to sys.path
import os,sys,inspect
... | [
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3... | 2.830357 | 336 |
# Declaring a dictionary
dictStudent = {'Name':'Zara', 'Age':'20', 'Class':'first'}
print('\n')
# Accessing the dictionary with its value
print('dictStudent[Name] = ', dictStudent['Name'])
print('dictStudent[Age] = ', dictStudent['Age'])
print('dictStudent[Class] = ', dictStudent['Class'])
print('\n')
# Check if the... | [
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2... | 2.552632 | 304 |
import numpy as np
from nefct.geometry.scanner_config import ScannerConfig2D, ScannerConfig3D
from nefct.geometry.detector_config import DetectorDirectAConfig, DetectorDirectBConfig
__all__ = (
'cbct_a_detector', 'cbct_b_detector', 'cbct_2d_scanner', 'cbct_3d_scanner', 'cbct_angles',
'cbct_2d_full_fan_scanner... | [
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62,... | 1.300118 | 4,255 |
import glob
import re
import numpy as np
from PIL import Image
pattern = r'(?P<name>[a-zA-z]+)_art_small\.png'
for fname in glob.glob('*.png'):
if (m := re.match(pattern, fname)) is not None:
img = np.array(Image.open(fname))
indices = np.logical_and(np.all(img[:,:,0:1] == img, 2), np.all(img > 160... | [
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#!/usr/bin/env python3
'''aionfpga ~ fhnwtoys.enums
Copyright (C) 2020 Dominik Müller and Nico Canzani
'''
import cv2
from enum import IntEnum
# Enums ----------------------------------------------------------------------
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# coding=utf-8
"""
Gets OCDS JSON notices from the Contracts Finder API, and insert 100 with sufficient content,
with an option to update these using the existing OCIDs
API Info
https://content-api.publishing.service.gov.uk/#gov-uk-content-api
https://www.gov.uk/government/publications/open-contracting
https://www.co... | [
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import copy
import six
import json
from django.db.models import Q
from django.core.exceptions import ImproperlyConfigured, PermissionDenied
from django.core.urlresolvers import reverse
from django.http import HttpResponseBadRequest, HttpResponse
from django.shortcuts import get_object_or_404
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67... | 3.308458 | 201 |
#!/usr/bin/env python
# a simple routine to parse particle files and dump out the particle
# histories into separate files (1 file per particle) so that they can
# be plotted elsewhere
#import math
import numpy
import sys
import parseparticles
#-----------------------------------------------------------------------... | [
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# Arrume a formatação na saida, para dinheiro, do exer 107
import moeda
valor = float(input('Digite um valor: R$'))
print()
print(f'Aumentando 10% o valor {moeda.moeda(valor)} -> {moeda.moeda(moeda.aumentar(valor))} ')
print(f'Diminuindo 10% o valor {moeda.moeda(valor)} -> {moeda.moeda(moeda.diminuir(valor))} ... | [
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from roadshow.hed import hed
import cv2
import numpy as np
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import torch
import torchvision.transforms as transforms
import torch.utils.data as data
import os
import pickle
from build_vocab import Vocabulary
import numpy as np
import nltk
from PIL import Image
from pycocotools.coco import COCO
class CocoDataset(data.Dataset):
"""COCO Custom Dataset compatible with torch.u... | [
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import pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import CountVectorizer
import numpy
import nltk
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
import pandas as pd
from sklearn.metrics.pair... | [
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117... | 2.697425 | 466 |
# Get the product of all element at the list except the element
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import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="EngineeringToolbox", # Replace with your own username
version="0.0.4",
author="Joshua H. Phillips",
description="Package containing python programs for common problems in mec... | [
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... | 2.629969 | 327 |