content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
#!/usr/bin/env python3
import random
N = 32
M = 64
# NOTE: 0 is a reserved value
randu = lambda x: random.randint(1, 2**x-1)
randU32 = lambda: randu(32)
randU64 = lambda: randu(64)
fmt_by_dtype = {
'u32hex': '0x{:08x}',
'u64hex': '0x{:016x}',
}
cpp_by_dtype = {
'u32hex': 'uint32_t',
'u64hex': 'ui... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
628,
198,
11748,
4738,
628,
198,
45,
796,
3933,
198,
44,
796,
5598,
198,
2,
24550,
25,
657,
318,
257,
10395,
1988,
198,
25192,
84,
220,
220,
796,
37456,
2124,
25,
4738,
13,
25192,
6... | 2.245714 | 525 |
"""Toy environment launcher. See the docs for more details about this environment.
"""
import sys
import logging
import numpy as np
from deer.default_parser import process_args
from deer.agent import NeuralAgent
from deer.learning_algos.q_net_keras import MyQNetwork
from Toy_env import MyEnv as Toy_env
import deer.e... | [
37811,
48236,
2858,
24008,
13,
4091,
262,
34165,
329,
517,
3307,
546,
428,
2858,
13,
198,
198,
37811,
198,
198,
11748,
25064,
198,
11748,
18931,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
20096,
13,
12286,
62,
48610,
1330,
1429... | 2.908593 | 1,827 |
# ------------------------------------------------------------------
#
# RDF and CN related analysis
#
# ------------------------------------------------------------------
import sys
py_path = '../../../../postprocessing/'
sys.path.insert(0, py_path)
py_path = '../../../../postprocessing/io_operations/'
sys.path.inse... | [
2,
16529,
438,
198,
2,
198,
2,
197,
49,
8068,
290,
31171,
3519,
3781,
197,
198,
2,
198,
2,
16529,
438,
198,
198,
11748,
25064,
198,
9078,
62,
6978,
796,
705,
40720,
40720,
40720,
40720,
7353,
36948,
14,
6,
198,
17597,
13,
6978,
13... | 2.911628 | 215 |
from ..doctools import document
from .geom import geom
from .geom_path import geom_path
from .geom_point import geom_point
from .geom_linerange import geom_linerange
| [
6738,
11485,
4598,
310,
10141,
1330,
3188,
198,
6738,
764,
469,
296,
1330,
4903,
296,
198,
6738,
764,
469,
296,
62,
6978,
1330,
4903,
296,
62,
6978,
198,
6738,
764,
469,
296,
62,
4122,
1330,
4903,
296,
62,
4122,
198,
6738,
764,
469,... | 3.092593 | 54 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
import json
import os
import skimage.io as skio
import matplotlib.pyplot as plt
import numpy as np
import keras
from keras.models import Model
from keras.layers import Input, Convolution2D, MaxPooling2D, Flatten, Dense
from keras.utils.visualize_util import ... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
834,
9800,
834,
796,
705,
283,
6,
198,
198,
11748,
33918,
198,
11748,
28686,
198,
11748,
1341,
9060,
13,
952,
355,
1341,
952... | 2.561644 | 438 |
"""
Test the integrations related to the internal interface implementation and the 'Interface' interface itself
"""
import pytest
from cppython_core.schema import InterfaceConfiguration
from pytest_cppython.plugin import InterfaceIntegrationTests
from cppython.console import ConsoleInterface
| [
37811,
198,
14402,
262,
4132,
9143,
3519,
284,
262,
5387,
7071,
7822,
290,
262,
705,
39317,
6,
7071,
2346,
198,
37811,
198,
198,
11748,
12972,
9288,
198,
6738,
269,
381,
7535,
62,
7295,
13,
15952,
2611,
1330,
26491,
38149,
198,
6738,
... | 4.484848 | 66 |
#@contact Sejoon Oh (soh337@gatech.edu), Georgia Institute of Technology
#@version 1.0
#@date 2021-08-17
#Influence-guided Data Augmentation for Neural Tensor Completion (DAIN)
#This software is free of charge under research purposes.
#For commercial purposes, please contact the main author.
import torch
f... | [
2,
31,
32057,
220,
220,
220,
1001,
73,
2049,
3966,
357,
568,
71,
31496,
31,
10494,
354,
13,
15532,
828,
7859,
5136,
286,
8987,
198,
2,
31,
9641,
220,
220,
220,
352,
13,
15,
198,
2,
31,
4475,
220,
220,
220,
220,
220,
220,
33448,
... | 3.288557 | 201 |
# Copyright 2019 Province of British Columbia
#
# 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 agre... | [
2,
15069,
220,
13130,
22783,
286,
3517,
9309,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
... | 2.393301 | 5,314 |
from datetime import datetime, timedelta
import jwt
from flask import current_app
from app import db
from app.user.repository import UserRepository
| [
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
198,
198,
11748,
474,
46569,
198,
6738,
42903,
1330,
1459,
62,
1324,
198,
198,
6738,
598,
1330,
20613,
198,
6738,
598,
13,
7220,
13,
260,
1930,
37765,
1330,
11787,
6207,
13264,
628
] | 3.682927 | 41 |
import _init_paths
import argparse
import random
import time
import utils
import os
from collections import defaultdict
import numpy as np
import csv
from progress.bar import IncrementalBar
from utils.hash import *
if __name__ == '__main__':
main()
| [
11748,
4808,
15003,
62,
6978,
82,
198,
11748,
1822,
29572,
198,
11748,
4738,
198,
11748,
640,
198,
11748,
3384,
4487,
198,
11748,
28686,
198,
6738,
17268,
1330,
4277,
11600,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
269,
21370,
198,... | 3.350649 | 77 |
import math
from pprint import pprint
import matplotlib.pyplot as plt
from scipy.optimize import minimize
from frispy import Disc
from frispy import Discs
from frispy import Model
model = Discs.roc
mph_to_mps = 0.44704
v = 56 * mph_to_mps
rot = -v / model.diameter
ceiling = 4 # 4 meter ceiling
tunnel_width = 4 # 4 ... | [
11748,
10688,
198,
6738,
279,
4798,
1330,
279,
4798,
198,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
6738,
629,
541,
88,
13,
40085,
1096,
1330,
17775,
198,
198,
6738,
1216,
8802,
88,
1330,
8444,
198,
6738,
1216... | 2.22695 | 423 |
# 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 writing, software
# distribu... | [
2,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,
220,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
220,
220,
921,
743,
7330,
257,
4866,... | 3.473118 | 186 |
import os
from Bio import AlignIO, Phylo
from Bio.Phylo.TreeConstruction import DistanceCalculator, DistanceTreeConstructor | [
11748,
28686,
198,
6738,
16024,
1330,
978,
570,
9399,
11,
1380,
2645,
78,
198,
6738,
16024,
13,
2725,
2645,
78,
13,
27660,
36687,
1330,
34600,
9771,
3129,
1352,
11,
34600,
27660,
42316,
273
] | 3.727273 | 33 |
#!/usr/bin/env python
#
#The MIT License (MIT)
#
# Copyright (c) 2015 Bit9 + Carbon Black
#
# 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 t... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
198,
2,
464,
17168,
13789,
357,
36393,
8,
198,
2,
198,
2,
15069,
357,
66,
8,
1853,
4722,
24,
1343,
23699,
2619,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
38... | 3.255 | 1,000 |
# -*- coding: utf-8 -*-
"""Exceptions raised by the h application."""
from __future__ import unicode_literals
from h.i18n import TranslationString as _
# N.B. This class **only** covers exceptions thrown by API code provided by
# the h package. memex code has its own base APIError class.
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
37811,
3109,
11755,
4376,
416,
262,
289,
3586,
526,
15931,
198,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
6738,
289,
13,
72,
1507,
... | 3.325843 | 89 |
#!/usr/bin/env python
# Copyright (c) 2018 Orange and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
"""
Shaker_... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
15069,
357,
66,
8,
2864,
11942,
290,
1854,
13,
198,
2,
198,
2,
1439,
2489,
10395,
13,
770,
1430,
290,
262,
19249,
5696,
198,
2,
389,
925,
1695,
739,
262,
2846,
286,
262,
... | 3.561321 | 212 |
import torch
import functools
if torch.__version__.startswith('0'):
from .sync_bn.inplace_abn.bn import InPlaceABNSync
BatchNorm2d = functools.partial(InPlaceABNSync, activation='none')
BatchNorm2d_class = InPlaceABNSync
relu_inplace = False
else:
# BatchNorm2d_class = BatchNorm2d = torch.nn.SyncBa... | [
11748,
28034,
198,
11748,
1257,
310,
10141,
198,
198,
361,
28034,
13,
834,
9641,
834,
13,
9688,
2032,
342,
10786,
15,
6,
2599,
198,
220,
220,
220,
422,
764,
27261,
62,
9374,
13,
259,
5372,
62,
397,
77,
13,
9374,
1330,
554,
27271,
... | 2.440476 | 168 |
from django.db import models
from ordered_model.models import OrderedModel, OrderedModelBase
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
6149,
62,
19849,
13,
27530,
1330,
14230,
1068,
17633,
11,
14230,
1068,
17633,
14881,
628,
628,
628,
628,
628
] | 3.642857 | 28 |
import os
import sys
import numpy as np
import pandas as pd
def get_columns_percent_dataframe(df: pd.DataFrame, totals_column=None, percent_names=True) -> pd.DataFrame:
""" @param totals_column: (default = use sum of columns)
@param percent_names: Rename names from 'col' => 'col %'
Return a dataframe... | [
11748,
28686,
198,
11748,
25064,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
628,
198,
4299,
651,
62,
28665,
82,
62,
25067,
62,
7890,
14535,
7,
7568,
25,
279,
67,
13,
6601,
19778,
11,
26310,
62,
28... | 2.516832 | 505 |
from app.db import db
# Ignore it if db can't find the row when updating/deleting
# Todo: not ignore it, raise some error, remove checkers in view
| [
6738,
598,
13,
9945,
1330,
20613,
628,
198,
2,
41032,
340,
611,
20613,
460,
470,
1064,
262,
5752,
618,
19698,
14,
2934,
293,
889,
198,
2,
309,
24313,
25,
407,
8856,
340,
11,
5298,
617,
4049,
11,
4781,
2198,
364,
287,
1570,
198
] | 3.465116 | 43 |
"""
How to set up virtual environment
pip install virtualenv
pip install virtualenvwrapper
# export WORKON_HOME=~/Envs
source /usr/local/bin/virtualenvwrapper.sh
# To activate virtualenv and set up flask
1. mkvirtualenv my-venv
###2. workon my-venv
3. pip install Flask
4. pip freeze
5. #... | [
37811,
198,
220,
1374,
284,
900,
510,
7166,
2858,
198,
220,
220,
220,
7347,
2721,
7166,
24330,
198,
220,
220,
220,
7347,
2721,
7166,
24330,
48553,
628,
220,
1303,
10784,
30936,
1340,
62,
39069,
31820,
14,
4834,
14259,
198,
220,
2723,
... | 3.212963 | 216 |
from SemiBin.main import generate_data_single
import os
import pytest
import logging
import pandas as pd | [
6738,
35525,
33,
259,
13,
12417,
1330,
7716,
62,
7890,
62,
29762,
198,
11748,
28686,
198,
11748,
12972,
9288,
198,
11748,
18931,
198,
11748,
19798,
292,
355,
279,
67
] | 3.586207 | 29 |
# Copyright 2020 - The Android Open Source Project
#
# 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 ... | [
2,
15069,
12131,
532,
383,
5565,
4946,
8090,
4935,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
... | 2.65142 | 634 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from cx_Freeze import setup,Executable
icondata='icon.ico'
base = None
# GUI=, CUI=
if sys.platform == 'win32' : base = 'win32GUI'
exe = Executable(script = 'main.py',
base = base,
#icon=icondata
)
s... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
11748,
25064,
198,
6738,
43213,
62,
11146,
2736,
1330,
9058,
11,
23002,
18187,
198,
198,
291,
623,
1045,
11639,
47... | 2.079439 | 214 |
from __future__ import annotations
from threading import Lock
from typing import List, Set, Optional, Any, Tuple
from stereotype.utils import ConfigurationError
_roles: List[Role] = []
_roles_lock = Lock()
DEFAULT_ROLE = Role('default')
| [
6738,
11593,
37443,
834,
1330,
37647,
198,
198,
6738,
4704,
278,
1330,
13656,
198,
6738,
19720,
1330,
7343,
11,
5345,
11,
32233,
11,
4377,
11,
309,
29291,
198,
198,
6738,
31240,
13,
26791,
1330,
28373,
12331,
628,
198,
198,
62,
305,
8... | 3.402778 | 72 |
# coding:utf-8
'''
VSWR
10marker
'''
import os
import logging
from commoninterface.zvlbase import ZVLBase
logger = logging.getLogger('ghost')
| [
2,
19617,
25,
40477,
12,
23,
198,
7061,
6,
198,
53,
17887,
49,
198,
940,
4102,
263,
198,
7061,
6,
198,
11748,
28686,
198,
11748,
18931,
198,
6738,
2219,
39994,
13,
89,
19279,
8692,
1330,
1168,
47468,
14881,
198,
198,
6404,
1362,
796... | 2.769231 | 52 |
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import shellmodelutilities as smutil
# Set bin width and range
bin_width = 0.20
Emax = 14
Nbins = int(np.ceil(Emax/bin_width))
Emax_adjusted = bin_width*Nbins # Trick to get an integer number of bins
bins = np.linspace(0,Emax_adjust... | [
6738,
11593,
37443,
834,
1330,
7297,
198,
11748,
299,
32152,
355,
45941,
220,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
220,
198,
11748,
7582,
19849,
315,
2410,
355,
895,
22602,
628,
198,
198,
2,
5345,
9874,
9647,
... | 2.279678 | 994 |
import abc
import secrets
from collections.abc import AsyncIterator, Awaitable, Callable, Mapping
from contextlib import AbstractAsyncContextManager, asynccontextmanager
from dataclasses import dataclass
from datetime import datetime, timezone
import pytest
from aiohttp import ClientSession
from yarl import URL
from ... | [
11748,
450,
66,
198,
11748,
13141,
198,
6738,
17268,
13,
39305,
1330,
1081,
13361,
37787,
11,
5851,
4548,
540,
11,
4889,
540,
11,
337,
5912,
198,
6738,
4732,
8019,
1330,
27741,
42367,
21947,
13511,
11,
355,
2047,
535,
261,
5239,
37153,
... | 3.214789 | 284 |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
sbpy bandpass Module
"""
__all__ = [
'bandpass'
]
import os
from astropy.utils.data import get_pkg_data_filename
def bandpass(name):
"""Retrieve bandpass transmission spectrum from sbpy.
Parameters
----------
name : string
... | [
2,
49962,
739,
257,
513,
12,
565,
682,
347,
10305,
3918,
5964,
532,
766,
38559,
24290,
13,
81,
301,
198,
37811,
198,
36299,
9078,
4097,
6603,
19937,
198,
198,
37811,
198,
198,
834,
439,
834,
796,
685,
198,
220,
220,
220,
705,
3903,
... | 2.21076 | 2,249 |
from django.http import HttpResponse
from django.shortcuts import render, redirect
from community.models import Community
# Create your views here.
| [
6738,
42625,
14208,
13,
4023,
1330,
367,
29281,
31077,
198,
6738,
42625,
14208,
13,
19509,
23779,
1330,
8543,
11,
18941,
198,
6738,
2055,
13,
27530,
1330,
8108,
628,
198,
2,
13610,
534,
5009,
994,
13,
628,
628
] | 4.135135 | 37 |
# Generated by Django 3.1.2 on 2020-10-18 17:19
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
513,
13,
16,
13,
17,
319,
12131,
12,
940,
12,
1507,
1596,
25,
1129,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
# OxfordInstruments_ILM200.py class, to perform the communication between the Wrapper and the device
# Copyright (c) 2017 QuTech (Delft)
# Code is available under the available under the `MIT open-source license <https://opensource.org/licenses/MIT>`__
#
# Pieter Eendebak <pieter.eendebak@tno.nl>, 2017
# Takafumi Fujit... | [
2,
13643,
818,
2536,
2886,
62,
4146,
44,
2167,
13,
9078,
1398,
11,
284,
1620,
262,
6946,
1022,
262,
27323,
2848,
290,
262,
3335,
198,
2,
15069,
357,
66,
8,
2177,
2264,
17760,
357,
13856,
701,
8,
198,
2,
6127,
318,
1695,
739,
262,
... | 2.983516 | 182 |
import numpy as np
import matplotlib.pyplot as plt
import pickle
"""
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000
training images and 10000 test images.
The dataset is divided into five training batches and one test batch, each with 10000 image... | [
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
2298,
293,
198,
198,
37811,
198,
464,
327,
5064,
1503,
12,
940,
27039,
10874,
286,
718,
2388,
3933,
87,
2624,
9568,
4263,
287,
83... | 2.353223 | 1,877 |
# This file is Copyright 2019 Volatility Foundation and licensed under the Volatility Software License 1.0
# which is available at https://www.volatilityfoundation.org/license/vsl-v1.0
#
"""A module containing a collection of plugins that produce data typically
found in Mac's lsmod command."""
from volatility3.framewor... | [
2,
770,
2393,
318,
15069,
13130,
4709,
18486,
5693,
290,
11971,
739,
262,
4709,
18486,
10442,
13789,
352,
13,
15,
198,
2,
543,
318,
1695,
379,
3740,
1378,
2503,
13,
10396,
18486,
42526,
13,
2398,
14,
43085,
14,
85,
6649,
12,
85,
16,... | 4.484615 | 130 |
'''
instahunter.py
Author: Araekiel
Copyright: Copyright 2019, Araekiel
License: MIT
Version: 1.6.3
'''
import click
import requests
import json
from datetime import datetime
headers = { "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.12; rv:55.0) Gecko/20100101 Firefox/55.0"}
cli... | [
7061,
6,
198,
220,
220,
220,
916,
993,
403,
353,
13,
9078,
628,
220,
220,
220,
6434,
25,
30574,
988,
8207,
198,
220,
220,
220,
15069,
25,
220,
15069,
220,
13130,
11,
30574,
988,
8207,
198,
220,
220,
220,
13789,
25,
17168,
198,
220... | 2.5 | 184 |
#!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. 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
#
# U... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
15069,
1946,
12,
23344,
383,
9485,
6173,
37,
34152,
13,
1439,
6923,
33876,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,... | 2.184343 | 1,188 |
import random
import magent
from magent.builtin.rule_model import RandomActor
import numpy as np
if __name__ == "__main__":
gw = magent.gridworld
cfg = gw.Config()
map_size = 25
cfg.set({"map_width": map_size, "map_height": map_size})
agent_group = cfg.add_group(
cfg.register_agent_type... | [
11748,
4738,
198,
11748,
2153,
298,
198,
6738,
2153,
298,
13,
18780,
259,
13,
25135,
62,
19849,
1330,
14534,
40277,
198,
11748,
299,
32152,
355,
45941,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
... | 2.023102 | 1,212 |
import itertools
import logging
from datetime import date
from django.apps import apps
from django.conf import settings
from django.db import connection, transaction
from django.db.models import Q
from dimagi.utils.chunked import chunked
from corehq.apps.accounting.models import Subscription
from corehq.apps.account... | [
11748,
340,
861,
10141,
198,
11748,
18931,
198,
6738,
4818,
8079,
1330,
3128,
198,
198,
6738,
42625,
14208,
13,
18211,
1330,
6725,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
9945,
1330,
4637,
11,
8611,
... | 2.894247 | 2,364 |
"""Subdivided icosahedral mesh generation"""
from __future__ import print_function
import numpy as np
# following: http://blog.andreaskahler.com/2009/06/creating-icosphere-mesh-in-code.html
# hierarchy:
# Icosphere -> Triangle -> Point
def calculate_npts(level):
n = 2**level... | [
37811,
7004,
7146,
1384,
14158,
8546,
21962,
19609,
5270,
37811,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
11748,
299,
32152,
355,
45941,
198,
198,
2,
1708,
25,
2638,
1378,
14036,
13,
49078,
2093,
993,
1754,
13,
785,
14,
... | 2.429519 | 603 |
# Resolve the problem!!
import string
import random
SYMBOLS = list('!"#$%&\'()*+,-./:;?@[]^_`{|}~')
if __name__ == '__main__':
run()
| [
2,
1874,
6442,
262,
1917,
3228,
198,
11748,
4731,
198,
11748,
4738,
198,
198,
23060,
10744,
3535,
50,
796,
1351,
10786,
2474,
29953,
4,
5,
43054,
3419,
9,
10,
12095,
19571,
25,
26,
30,
31,
21737,
61,
62,
63,
90,
91,
92,
93,
11537,... | 2.21875 | 64 |
#!/usr/bin/env python
# Copyright JS Foundation and other contributors, http://js.foundation
#
# 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.... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
15069,
26755,
5693,
290,
584,
20420,
11,
2638,
1378,
8457,
13,
42526,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198... | 2.277516 | 3,398 |
from math import sqrt
import emoji
num = int(input("Digite um nmero: "))
raiz = sqrt(num)
print("A raiz do nmero {0} {1:.2f}.".format(num, raiz))
print(emoji.emojize("Hello World! :earth_americas:", use_aliases=True))
| [
6738,
10688,
1330,
19862,
17034,
198,
11748,
44805,
198,
22510,
796,
493,
7,
15414,
7203,
19511,
578,
23781,
299,
647,
78,
25,
366,
4008,
198,
430,
528,
796,
19862,
17034,
7,
22510,
8,
198,
4798,
7203,
32,
2179,
528,
466,
299,
647,
... | 2.406593 | 91 |
macs_response = '''<?xml version="1.0"?><s:Envelope xmlns:s="http://www.w3.org/2003/05/soap-envelope" xmlns:wsa="http://schemas.xmlsoap.org/ws/2004/08/addressing" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:wxf="http://schemas.xmlsoap.org/ws/2004/09/transfer"><s:Header><wsa:To>http://schemas.xmlsoap.org... | [
76,
16436,
62,
26209,
796,
705,
7061,
47934,
19875,
2196,
2625,
16,
13,
15,
13984,
6927,
82,
25,
4834,
1091,
68,
35555,
5907,
25,
82,
2625,
4023,
1378,
2503,
13,
86,
18,
13,
2398,
14,
16088,
14,
2713,
14,
568,
499,
12,
268,
1091,
... | 2.55264 | 3,163 |
from __future__ import print_function
import argparse
import os
import time, platform
import cv2
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from datasets import DATASET_NAMES, BipedDataset, TestDataset, dataset_info
from losses import *
from model import DexiNed
# from model0C ... | [
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
198,
11748,
1822,
29572,
198,
11748,
28686,
198,
11748,
640,
11,
3859,
198,
198,
11748,
269,
85,
17,
198,
11748,
28034,
198,
11748,
28034,
13,
40085,
355,
6436,
198,
6738,
28034,
... | 1.806565 | 6,276 |
#!/usr/bin/env python3
# coding=utf-8
#
# Copyright (c) 2021 Huawei Device Co., Ltd.
# 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
#
# Unle... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
19617,
28,
40477,
12,
23,
198,
198,
2,
198,
2,
15069,
357,
66,
8,
33448,
43208,
16232,
1766,
1539,
12052,
13,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
... | 4.43254 | 252 |
from __future__ import absolute_import
from django.conf.urls import patterns, url
from django_comments.feeds import LatestCommentFeed
from custom_comments import views
feeds = {
'comments': LatestCommentFeed,
}
urlpatterns = patterns('',
url(r'^post/$', views.custom_submit_comment),
url(r'^flag/(\d+)... | [
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
198,
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
1330,
7572,
11,
19016,
198,
198,
6738,
42625,
14208,
62,
15944,
13,
12363,
82,
1330,
26603,
21357,
18332,
198,
198,
6738,
2183,
62,
... | 2.659919 | 247 |
import pandas as pd, numpy as np
from sklearn.preprocessing import OneHotEncoder
author_int_dict = {'EAP':0,'HPL':1,'MWS':2}
if __name__ == '__main__':
pass | [
11748,
19798,
292,
355,
279,
67,
11,
299,
32152,
355,
45941,
201,
198,
6738,
1341,
35720,
13,
3866,
36948,
1330,
1881,
21352,
27195,
12342,
201,
198,
201,
198,
9800,
62,
600,
62,
11600,
796,
1391,
6,
36,
2969,
10354,
15,
4032,
39,
6... | 2.328767 | 73 |
# pylint: skip-file
import sys
import os
# code to automatically download dataset
curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
sys.path = [os.path.join(curr_path, "../autoencoder")] + sys.path
import mxnet as mx
import numpy as np
import data
from scipy.spatial.distance import cdist
from s... | [
2,
279,
2645,
600,
25,
14267,
12,
7753,
198,
11748,
25064,
198,
11748,
28686,
198,
2,
2438,
284,
6338,
4321,
27039,
198,
22019,
81,
62,
6978,
796,
28686,
13,
6978,
13,
15908,
3672,
7,
418,
13,
6978,
13,
397,
2777,
776,
7,
418,
13,... | 2.78392 | 199 |
from __future__ import division
from cctbx.array_family import flex
from cctbx import xray
from cctbx import crystal
from cctbx import maptbx
from cctbx.maptbx import minimization
from libtbx.test_utils import approx_equal
import random
from cctbx.development import random_structure
from cctbx import sgtbx
if (1):
r... | [
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
269,
310,
65,
87,
13,
18747,
62,
17989,
1330,
7059,
198,
6738,
269,
310,
65,
87,
1330,
2124,
2433,
198,
6738,
269,
310,
65,
87,
1330,
15121,
198,
6738,
269,
310,
65,
87,
1330,
285,
2... | 2.111644 | 2,920 |
""" LED matrix
"""
__all__ = ['Matrix']
from .colors import Color, on, off
from .fonts import font_6x8
| [
37811,
12365,
17593,
198,
37811,
198,
834,
439,
834,
796,
37250,
46912,
20520,
198,
198,
6738,
764,
4033,
669,
1330,
5315,
11,
319,
11,
572,
198,
6738,
764,
10331,
82,
1330,
10369,
62,
21,
87,
23,
628
] | 2.837838 | 37 |
from pytest import raises
from datek_app_utils.env_config.base import BaseConfig
from datek_app_utils.env_config.errors import InstantiationForbiddenError
| [
6738,
12972,
9288,
1330,
12073,
198,
198,
6738,
3128,
74,
62,
1324,
62,
26791,
13,
24330,
62,
11250,
13,
8692,
1330,
7308,
16934,
198,
6738,
3128,
74,
62,
1324,
62,
26791,
13,
24330,
62,
11250,
13,
48277,
1330,
24470,
3920,
1890,
3797... | 3.511111 | 45 |
# -*- coding: utf-8 -*-
# Name: comprehend
# Version: 0.1a2
# Owner: Ruslan Korniichuk
# Maintainer(s):
import boto3
def get_sentiment(text, language_code='en'):
"""Get sentiment.
Inspects text and returns an inference of the prevailing sentiment
(positive, neutral, mixed, or negative).
Args:
... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
6530,
25,
24772,
198,
2,
10628,
25,
657,
13,
16,
64,
17,
198,
2,
23853,
25,
9223,
9620,
509,
1211,
72,
488,
2724,
198,
2,
337,
2913,
10613,
7,
82,
2599,
198,
... | 2.84657 | 554 |
# -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'configuredialog.ui'
##
## Created by: Qt User Interface Compiler version 5.15.2
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
##########... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
29113,
29113,
14468,
198,
2235,
5178,
7560,
422,
3555,
12454,
2393,
705,
11250,
1522,
498,
519,
13,
9019,
6,
198,
2235,
198,
2235,
15622,
416,
25,
33734,
11787,
264... | 4.163793 | 116 |
import base64
import tempfile
import requests
from osbot_aws.apis import Secrets
from osbot_aws.apis.Lambdas import Lambdas
| [
11748,
2779,
2414,
198,
11748,
20218,
7753,
198,
11748,
7007,
198,
6738,
220,
220,
28686,
13645,
62,
8356,
13,
499,
271,
220,
220,
220,
220,
220,
220,
220,
1330,
23561,
198,
6738,
220,
220,
28686,
13645,
62,
8356,
13,
499,
271,
13,
... | 2.440678 | 59 |
from sys import argv
from getopt import getopt
from os import R_OK, access
from string import Template
DEFAULT_DATASET_FILE_PATH = "dataset/data.csv"
DEFAULT_DATASET_COLUMNS = ['surface (m2)', 'height (m)', 'latitude', 'housing_type', 'longitude', 'country_code',
'city']
DEFAULT_VISU = ["sca... | [
6738,
25064,
1330,
1822,
85,
198,
6738,
651,
8738,
1330,
651,
8738,
198,
6738,
28686,
1330,
371,
62,
11380,
11,
1895,
198,
6738,
4731,
1330,
37350,
198,
198,
7206,
38865,
62,
35,
1404,
1921,
2767,
62,
25664,
62,
34219,
796,
366,
19608... | 2.424837 | 153 |
# Must run example4.py first
# Read an Excel sheet and save running config of devices using pandas
import pandas as pd
from netmiko import ConnectHandler
# Read Excel file of .xlsx format
data = pd.read_excel(io="Example4-Device-Details.xlsx", sheet_name=0)
# Convert data to data frame
df = pd.DataFrame(data=data)
... | [
2,
12039,
1057,
1672,
19,
13,
9078,
717,
198,
2,
4149,
281,
24134,
9629,
290,
3613,
2491,
4566,
286,
4410,
1262,
19798,
292,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
6738,
2010,
76,
12125,
1330,
8113,
25060,
198,
198,
2,... | 2.542662 | 586 |
# Copyright (C) 2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
VERIFIED_OP_REFERENCES = [
'Abs-1',
'Acos-1',
'Add-1',
'Asin-1',
'Asinh-3',
'Assign-6',
'AvgPool-1',
'BatchNormInference-5',
'BatchToSpace-2',
'BinaryConvolution-1',
'Broadcast-1',
'Broadcast-3'... | [
2,
15069,
357,
34,
8,
33448,
8180,
10501,
198,
2,
30628,
55,
12,
34156,
12,
33234,
7483,
25,
24843,
12,
17,
13,
15,
198,
198,
5959,
28343,
62,
3185,
62,
2200,
24302,
24181,
1546,
796,
685,
198,
220,
220,
220,
705,
24849,
12,
16,
... | 1.837442 | 1,298 |
"""Utilities for interacting with GitHub"""
import os
import json
import webbrowser
import stat
import sys
from git import Repo
from .context import Context
event_dict = {
"added_to_project": (
lambda event: "{} added the issue to a project.".format(event["actor"]["login"])
),
"assigned": (
... | [
37811,
18274,
2410,
329,
24986,
351,
21722,
37811,
198,
11748,
28686,
198,
11748,
33918,
198,
11748,
3992,
40259,
198,
11748,
1185,
198,
11748,
25064,
198,
6738,
17606,
1330,
1432,
78,
198,
198,
6738,
764,
22866,
1330,
30532,
198,
198,
15... | 2.404891 | 2,208 |
# Generated by Django 3.0.7 on 2020-09-18 05:52
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import multiselectfield.db.fields
| [
2,
2980,
515,
416,
37770,
513,
13,
15,
13,
22,
319,
12131,
12,
2931,
12,
1507,
8870,
25,
4309,
198,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
198,
11748,
42625,
14... | 3.080645 | 62 |
import pytest
import gen
from dcos_installer import cli
| [
11748,
12972,
9288,
198,
198,
11748,
2429,
198,
6738,
288,
6966,
62,
17350,
263,
1330,
537,
72,
628,
628
] | 3.157895 | 19 |
#!/usr/bin/env python3
import sys
from random import randint
import os
try:
import networkx as nx
except:
print("gPrint#-1#" + "netwrokx not installed for " + sys.executable)
sys.stdout.flush()
try:
import igraph as ig
except:
print("gPrint#-1#" + "igraph not installed for " + ... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
11748,
25064,
198,
6738,
4738,
1330,
43720,
600,
198,
11748,
28686,
198,
28311,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1330,
3127,
87,
355,
299,
87,
198,
16341,
25,
198... | 2.076456 | 824 |
# -*- coding: utf-8 -*-
"""Define the base module for server test."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
from influxdb.tests import using_pypy
from influxdb.tests.server_tests.influxdb_instanc... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
7469,
500,
262,
2779,
8265,
329,
4382,
1332,
526,
15931,
198,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
... | 3.347518 | 141 |
# -*- coding: utf-8 -*-
#------------------------------------------------------------------------------
# file: $Id$
# auth: Philip J Grabner <grabner@cadit.com>
# date: 2013/10/21
# copy: (C) Copyright 2013 Cadit Health Inc., All Rights Reserved.
#-----------------------------------------------------------------------... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
10097,
26171,
198,
2,
2393,
25,
720,
7390,
3,
198,
2,
6284,
25,
14576,
449,
25339,
1008,
1279,
32393,
1008,
31,
66,
324,
270,
13,
785,
29,
198,
2,
3128,
25,
221... | 3.579545 | 616 |
# Copyright 2015 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.
# This dictionary of GPU information was captured from a run of
# Telemetry on a Linux workstation with NVIDIA GPU. It helps test
# telemetry.internal.platfo... | [
2,
15069,
1853,
383,
18255,
1505,
46665,
13,
1439,
2489,
10395,
13,
198,
2,
5765,
286,
428,
2723,
2438,
318,
21825,
416,
257,
347,
10305,
12,
7635,
5964,
326,
460,
307,
198,
2,
1043,
287,
262,
38559,
24290,
2393,
13,
198,
198,
2,
... | 1.908676 | 7,238 |
#! /usr/bin/env python3
# vim: et:ts=4:sw=4:fenc=utf-8
from abc import ABC, abstractmethod
from collections import defaultdict
import re
| [
2,
0,
1220,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
43907,
25,
2123,
25,
912,
28,
19,
25,
2032,
28,
19,
25,
69,
12685,
28,
40477,
12,
23,
198,
198,
6738,
450,
66,
1330,
9738,
11,
12531,
24396,
198,
198,
6738,
17268,
1330,... | 2.685185 | 54 |
import os
from os import path
import json
import shutil
import tensorflow as tf
import numpy as np
# Importa cosas de Keras API
from tensorflow.keras.optimizers import Adam, RMSprop
from tensorflow.keras.models import Sequential
from tensorflow.keras.utils import plot_model
# Importa callbacks del modelo
from traini... | [
11748,
28686,
198,
6738,
28686,
1330,
3108,
198,
11748,
33918,
198,
11748,
4423,
346,
198,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
299,
32152,
355,
45941,
198,
198,
2,
17267,
64,
8615,
292,
390,
17337,
292,
7824,
198,
673... | 3.342612 | 467 |
#!/usr/bin/env python
"""Setup script to make PUDL directly installable with pip."""
import os
from pathlib import Path
from setuptools import find_packages, setup
install_requires = [
'coloredlogs',
'datapackage>=1.9.0',
'dbfread',
'goodtables',
'matplotlib',
'networkx>=2.2',
'numpy',
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
37811,
40786,
4226,
284,
787,
350,
8322,
43,
3264,
2721,
540,
351,
7347,
526,
15931,
198,
198,
11748,
28686,
198,
6738,
3108,
8019,
1330,
10644,
198,
198,
6738,
900,
37623,
10141,
1330,
... | 2.324201 | 1,533 |
from BTrees import OOBTree
from datetime import datetime, date, timedelta
from persistent import Persistent
from .vulnerability import Vulnerability
import fcntl
import glob
import gzip
import json
import logging
import os
import os.path as p
import requests
import transaction
import ZODB
import ZODB.FileStorage
DEFAU... | [
6738,
22205,
6037,
1330,
440,
9864,
27660,
198,
6738,
4818,
8079,
1330,
4818,
8079,
11,
3128,
11,
28805,
12514,
198,
6738,
16218,
1330,
9467,
7609,
198,
6738,
764,
85,
40920,
1330,
569,
40920,
198,
11748,
277,
66,
429,
75,
198,
11748,
... | 2.993377 | 151 |
from scapy.all import *
src = input("Source IP: ")
target = input("Target IP: ")
i=1
while True:
for srcport in range(1, 65535):
ip = IP(src=src, dst=target)
tcp = TCP(sport=srcport, dport=80)
pkt = ip / tcp
send(pkt, inter= .0001)
print("Packet Sent ", i)
i=i+1 | [
6738,
629,
12826,
13,
439,
1330,
1635,
198,
198,
10677,
796,
5128,
7203,
7416,
6101,
25,
366,
8,
198,
16793,
796,
5128,
7203,
21745,
6101,
25,
366,
8,
198,
198,
72,
28,
16,
198,
4514,
6407,
25,
198,
220,
220,
220,
329,
12351,
634,... | 2.025641 | 156 |
import hashlib
import unittest
from colicoords.cell import Cell, CellList
from colicoords.preprocess import data_to_cells
from test import testcase
from test.test_functions import load_testdata
if __name__ == '__main__':
unittest.main() | [
11748,
12234,
8019,
201,
198,
11748,
555,
715,
395,
201,
198,
6738,
951,
3713,
3669,
13,
3846,
1330,
12440,
11,
12440,
8053,
201,
198,
6738,
951,
3713,
3669,
13,
3866,
14681,
1330,
1366,
62,
1462,
62,
46342,
201,
198,
6738,
1332,
1330... | 2.865169 | 89 |
# --------------------------------------------------------------------------- #
# Importing section
# --------------------------------------------------------------------------- #
import os
import sys
import argparse
import logging
import json
from classes.alerts import SlackClient
from influxdb import InfluxDBClient... | [
2,
16529,
32284,
1303,
198,
2,
17267,
278,
2665,
198,
2,
16529,
32284,
1303,
198,
198,
11748,
28686,
198,
11748,
25064,
198,
11748,
1822,
29572,
198,
11748,
18931,
198,
11748,
33918,
198,
198,
6738,
6097,
13,
44598,
82,
1330,
36256,
117... | 3.174236 | 1,211 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
import re
DEBUG = False
lines = """
function II1I1_II takes real II1I1__I returns nothing
local real II1I1_1I
local real st=TimerGetElapsed(II1I___I)
if st<=0 then
set II1I___I=CreateTimer()
call TimerStart(II1I___I,1000000,false,null)
endif... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
834,
9800,
834,
796,
705,
541,
21879,
1077,
6,
628,
198,
11748,
302,
628,
198,
30531,
796,
10352,
628,
198,
... | 2.089457 | 1,252 |
from common.commons import *
DATA_PATH = os.environ["DATA_PATH"]
| [
6738,
2219,
13,
9503,
684,
1330,
1635,
198,
26947,
62,
34219,
796,
28686,
13,
268,
2268,
14692,
26947,
62,
34219,
8973,
198
] | 2.954545 | 22 |
# -*- coding: utf-8 -*-
import os
import sys
import tensorflow as tf
import numpy as np
import data_utils
from translate import Transliteration
from flask import Flask, request, jsonify
transliteration = Transliteration()
app = Flask(__name__) # Flask , .
app.config['JSON_AS_ASCII'] = False # .
if __name... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
28686,
198,
11748,
25064,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
1366,
62,
26791,
198,
6738,
15772,
1330,
3602,
... | 2.72 | 150 |
from django.apps import AppConfig
| [
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
628
] | 3.888889 | 9 |
"""
Interface to the env_build.xml file. This class inherits from EnvBase
"""
from CIME.XML.standard_module_setup import *
from CIME.XML.env_base import EnvBase
logger = logging.getLogger(__name__)
| [
37811,
198,
39317,
284,
262,
17365,
62,
11249,
13,
19875,
2393,
13,
220,
770,
1398,
10639,
896,
422,
2039,
85,
14881,
198,
37811,
198,
6738,
327,
12789,
13,
55,
5805,
13,
20307,
62,
21412,
62,
40406,
1330,
1635,
198,
198,
6738,
327,
... | 2.871429 | 70 |
# -*- coding: utf-8 -*- {{{
# vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et:
#
# Copyright 2019, Battelle Memorial Institute.
#
# 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... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
22935,
90,
198,
2,
43907,
25,
900,
277,
12685,
28,
40477,
12,
23,
10117,
28,
29412,
1509,
28,
19,
40379,
28,
19,
39747,
28,
19,
2123,
25,
198,
2,
198,
2,
15069,
13130,
... | 3.626387 | 811 |
from rest_framework.serializers import ModelSerializer
from .models import Place, Status, OSType, Stock, ComputerStock
| [
6738,
1334,
62,
30604,
13,
46911,
11341,
1330,
9104,
32634,
7509,
198,
198,
6738,
764,
27530,
1330,
8474,
11,
12678,
11,
440,
2257,
2981,
11,
10500,
11,
13851,
26207,
628,
628,
628
] | 3.90625 | 32 |
# -*- coding: utf-8 -*-
#
# Copyright 2012-2015 Spotify AB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
198,
2,
15069,
2321,
12,
4626,
26778,
9564,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,... | 3.637755 | 196 |
# -*- coding: UTF-8 -*-
import logging
from typing import List
from echoscope.config import config
from echoscope.util import mysql_util, str_util, log_util
from echoscope.model import ds_model, config_model
from echoscope.source import source
| [
2,
532,
9,
12,
19617,
25,
41002,
12,
23,
532,
9,
12,
198,
198,
11748,
18931,
198,
6738,
19720,
1330,
7343,
198,
198,
6738,
304,
354,
40326,
13,
11250,
1330,
4566,
198,
6738,
304,
354,
40326,
13,
22602,
1330,
48761,
62,
22602,
11,
... | 3.25 | 76 |
# last edited: 10/08/2017, 10:25
import os, sys, glob, subprocess
from datetime import datetime
from PyQt4 import QtGui, QtCore
import math
#from XChemUtils import mtztools
import XChemDB
import XChemRefine
import XChemUtils
import XChemLog
import XChemToolTips
import csv
try:
import gemmi
import pandas
excep... | [
2,
938,
13012,
25,
838,
14,
2919,
14,
5539,
11,
838,
25,
1495,
198,
198,
11748,
28686,
11,
25064,
11,
15095,
11,
850,
14681,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
6738,
9485,
48,
83,
19,
1330,
33734,
8205,
72,
11,
33734,
1... | 2.102446 | 654 |
# -*- coding: utf-8 -*-
"""
Global app forms
"""
# Standard Library
import re
# Django Library
from django import forms
from django.contrib.auth.forms import UserChangeForm, UserCreationForm
from django.utils.translation import ugettext_lazy as _
# Thirdparty Library
from dal import autocomplete
# Localfolder Librar... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
22289,
598,
5107,
198,
37811,
198,
2,
8997,
10074,
198,
11748,
302,
198,
198,
2,
37770,
10074,
198,
6738,
42625,
14208,
1330,
5107,
198,
6738,
42625,
14208,
... | 4.237037 | 135 |
from unittest import mock
import pytest
from django.http import HttpRequest
from rest_framework.response import Response
from rest_framework.test import APIClient
from drf_viewset_profiler.middleware import LineProfilerViewSetMiddleware
| [
6738,
555,
715,
395,
1330,
15290,
198,
198,
11748,
12972,
9288,
198,
6738,
42625,
14208,
13,
4023,
1330,
367,
29281,
18453,
198,
6738,
1334,
62,
30604,
13,
26209,
1330,
18261,
198,
6738,
1334,
62,
30604,
13,
9288,
1330,
3486,
2149,
75,
... | 3.641791 | 67 |
# This allows for running the example when the repo has been cloned
import sys
from os.path import abspath
sys.path.extend([abspath(".")])
# Example code follows
import logging
import numpy as np
import matplotlib.pyplot as plt
import muDIC.vlab as vlab
import muDIC as dic
"""
This example case runs an experiment whe... | [
2,
770,
3578,
329,
2491,
262,
1672,
618,
262,
29924,
468,
587,
537,
12004,
198,
11748,
25064,
198,
6738,
28686,
13,
6978,
1330,
2352,
6978,
198,
17597,
13,
6978,
13,
2302,
437,
26933,
397,
2777,
776,
7203,
19570,
12962,
198,
198,
2,
... | 2.653473 | 1,339 |
mongo = { "user": "", "passwd": "", "db": "ghtorrent" }
perspective_api_key = ""
| [
76,
25162,
796,
1391,
366,
7220,
1298,
366,
1600,
366,
6603,
16993,
1298,
366,
1600,
366,
9945,
1298,
366,
456,
13165,
1156,
1,
1782,
198,
19276,
806,
425,
62,
15042,
62,
2539,
796,
13538,
198
] | 2.314286 | 35 |
from tests.unit.dataactcore.factories.staging import DetachedAwardFinancialAssistanceFactory
from tests.unit.dataactvalidator.utils import number_of_errors, query_columns
_FILE = 'fabs38_detached_award_financial_assistance_2'
def test_success(database):
""" AwardingOfficeCode must be six characters long. """
... | [
6738,
5254,
13,
20850,
13,
7890,
529,
7295,
13,
22584,
1749,
13,
301,
3039,
1330,
4614,
2317,
32,
904,
43621,
8021,
9311,
22810,
198,
6738,
5254,
13,
20850,
13,
7890,
529,
12102,
1352,
13,
26791,
1330,
1271,
62,
1659,
62,
48277,
11,
... | 2.951276 | 431 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 31 22:48:21 2021
@author: apple
"""
import numpy as np
import pandas as pd
from HRP import seriation
import fastcluster
from scipy.cluster.hierarchy import fcluster
from gap_statistic import OptimalK
from backtest import df_to_matrix
#HERC
#... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
30030,
2447,
3261,
2534,
25,
2780,
25,
2481,
33448,
198,
198,
31,
9800,
25,
17180,
198,
3... | 2.674419 | 129 |
import urllib.request
from bs4 import BeautifulSoup
import csv
import requests
import os
import json
import time
import glob
files = glob.glob("/Users/nakamura/git/d_iiif/iiif/src/collections/nijl/data/json/*.json")
for i in range(len(files)):
file = files[i]
file_id = file.split("/")[-1].replace(".json", "... | [
11748,
2956,
297,
571,
13,
25927,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
198,
11748,
269,
21370,
198,
11748,
7007,
198,
11748,
28686,
198,
11748,
33918,
198,
11748,
640,
198,
11748,
15095,
198,
198,
16624,
796,
15095,
13,
4743,... | 1.529832 | 2,380 |
from lib import get_itineraries
import data
if __name__ == '__main__':
for itinerary in get_itineraries(data.sicily):
print("#" * 24)
print(itinerary)
print("")
| [
6738,
9195,
1330,
651,
62,
270,
7274,
3166,
198,
11748,
1366,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
329,
45142,
560,
287,
651,
62,
270,
7274,
3166,
7,
7890,
13,
21383,
813,
2599,
198... | 2.289157 | 83 |
import numpy as np
from sawyer.mujoco.tasks.base import ComposableTask
| [
11748,
299,
32152,
355,
45941,
198,
198,
6738,
2497,
9860,
13,
76,
23577,
25634,
13,
83,
6791,
13,
8692,
1330,
29936,
540,
25714,
628,
628,
628
] | 2.961538 | 26 |
# coding: utf-8
from types import SimpleNamespace
from datetime import datetime, timedelta
from unittest.mock import patch
from dateutil.relativedelta import relativedelta
from jinja2 import Undefined, Markup
from mock import Mock
from app.jinja_filters import (
format_date, format_conditional_date, format_curre... | [
2,
19617,
25,
3384,
69,
12,
23,
198,
6738,
3858,
1330,
17427,
36690,
10223,
198,
198,
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
198,
6738,
555,
715,
395,
13,
76,
735,
1330,
8529,
198,
198,
6738,
3128,
22602,
13,
2411,
26... | 2.065426 | 5,319 |
import arcade
import os
SPRITE_SCALING = 0.5
SPRITE_NATIVE_SIZE = 128
SPRITE_SIZE = int(SPRITE_NATIVE_SIZE * SPRITE_SCALING)
SCREEN_WIDTH = SPRITE_SIZE * 14
SCREEN_HEIGHT = SPRITE_SIZE * 10
MOVEMENT_SPEED = 5
COIN_SCALE = 0.7
def setup_room_1():
"""
Create and return room 1.
If your ... | [
11748,
27210,
201,
198,
11748,
28686,
201,
198,
201,
198,
4303,
49,
12709,
62,
6173,
1847,
2751,
796,
657,
13,
20,
201,
198,
4303,
49,
12709,
62,
34259,
9306,
62,
33489,
796,
13108,
201,
198,
4303,
49,
12709,
62,
33489,
796,
493,
7,... | 2.180004 | 4,811 |
# Copyright (c) 2018 gevent community
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, di... | [
2,
15069,
357,
66,
8,
2864,
4903,
1151,
2055,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
4866,
198,
2,
286,
428,
3788,
290,
3917,
10314,
3696,
357,
1169,
366,
25423,
12340,
2... | 3.173964 | 845 |
'''
marathon_example.py
performs a simple matrix multiply using 3 compute nodes
'''
if __name__ == '__main__':
from sys import argv
import tensorflow as tf
from dtforchestrator import *
args = parseargs()
with MultiprocessTensorFlowSession(args.taskname, args.n_tasks) as tfdevices:
wit... | [
7061,
6,
198,
220,
220,
22336,
62,
20688,
13,
9078,
198,
220,
220,
220,
220,
220,
17706,
257,
2829,
17593,
29162,
1262,
513,
24061,
13760,
198,
7061,
6,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
2... | 2.28841 | 371 |
'''
Original code contributor: mentzera
Article link: https://aws.amazon.com/blogs/big-data/building-a-near-real-time-discovery-platform-with-aws/
'''
import boto3
import json
import twitter_to_es
# from Examples.Demo.AWS_Related.TwitterStreamWithAWS.LambdaWithS3Trigger import \
# twitter_to_es
from tweet_utils i... | [
7061,
6,
198,
20556,
2438,
18920,
25,
6229,
89,
8607,
198,
14906,
2792,
25,
3740,
1378,
8356,
13,
33103,
13,
785,
14,
49096,
14,
14261,
12,
7890,
14,
16894,
12,
64,
12,
40093,
12,
5305,
12,
2435,
12,
67,
40821,
12,
24254,
12,
4480... | 2.73301 | 206 |
from django.contrib.messages.constants import DEFAULT_LEVELS
from user_messages.api import get_messages
def messages(request):
"""
Return a lazy 'messages' context variable as well as
'DEFAULT_MESSAGE_LEVELS'.
"""
return {
"messages": get_messages(request=request),
"DEFAULT_MESSAG... | [
6738,
42625,
14208,
13,
3642,
822,
13,
37348,
1095,
13,
9979,
1187,
1330,
5550,
38865,
62,
2538,
18697,
50,
198,
198,
6738,
2836,
62,
37348,
1095,
13,
15042,
1330,
651,
62,
37348,
1095,
628,
198,
4299,
6218,
7,
25927,
2599,
198,
220,
... | 2.451389 | 144 |
## Highest Score
# Don't change the code below
student_scores = input("Input a list of student scores: ").split()
for n in range(0, len(student_scores)):
student_scores[n] = int(student_scores[n])
print(student_scores)
# Don't change the code above
# Write your code below this row
highest_score = 0
for score... | [
2235,
41864,
15178,
198,
2,
220,
2094,
470,
1487,
262,
2438,
2174,
220,
198,
50139,
62,
1416,
2850,
796,
5128,
7203,
20560,
257,
1351,
286,
3710,
8198,
25,
366,
737,
35312,
3419,
198,
1640,
299,
287,
2837,
7,
15,
11,
18896,
7,
50139... | 2.940828 | 169 |
import argparse
from loader import MoleculeDataset
from torch_geometric.data import DataLoader
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tqdm import tqdm
import numpy as np
from model import GNN, GNN_graphpred
from sklearn.metrics import roc_auc_score
from ... | [
11748,
1822,
29572,
198,
198,
6738,
40213,
1330,
25726,
23172,
27354,
292,
316,
198,
6738,
28034,
62,
469,
16996,
13,
7890,
1330,
6060,
17401,
198,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
11748,
28034,
13,
20... | 3.107955 | 176 |
from jumpscale.core import exceptions
| [
6738,
18045,
38765,
13,
7295,
1330,
13269,
628,
628,
628,
628,
628,
628,
628,
628,
628,
628,
198
] | 3.222222 | 18 |
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from ..events import events_plot
from ..stats import standardize as nk_standardize
def signal_plot(
signal, sampling_rate=None, subplots=False, standardize=False, labels=None, **kwargs
):
"""Plot signal with events... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
6738,
11485,
31534,
1330,
29... | 2.118499 | 2,692 |