content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
from cmath import sqrt
from statistics import mean
import numpy as np
import math
import cmath
import scipy
from scipy.optimize import minimize
from sympy import Nor
import time
from scipy.optimize import linprog
#1. iterativni algoritem, ki vrne vrednost matrične igre in optimalno strategijo
# v obliki v... | [
6738,
269,
11018,
1330,
19862,
17034,
201,
198,
6738,
7869,
1330,
1612,
201,
198,
11748,
299,
32152,
355,
45941,
201,
198,
11748,
10688,
201,
198,
11748,
269,
11018,
201,
198,
11748,
629,
541,
88,
201,
198,
6738,
629,
541,
88,
13,
400... | 2.033333 | 420 |
import enum
| [
11748,
33829,
628,
220,
220,
220,
220,
220,
220,
220,
220
] | 1.909091 | 11 |
################################################################################
# The MIT License
#
# Copyright (c) 2019-2021, Prominence AI, Inc.
#
# 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 So... | [
29113,
29113,
14468,
198,
2,
383,
17168,
13789,
198,
2,
198,
2,
15069,
357,
66,
8,
13130,
12,
1238,
2481,
11,
10335,
18386,
9552,
11,
3457,
13,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,... | 3.2 | 765 |
import logging
import socket
import uuid
from zeroconf import ServiceInfo, Zeroconf
logger = logging.getLogger(__name__)
| [
11748,
18931,
198,
11748,
17802,
198,
11748,
334,
27112,
198,
198,
6738,
1976,
263,
36221,
69,
1330,
4809,
12360,
11,
37028,
36221,
69,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
628,
198
] | 3.125 | 40 |
## Mostly from Physical Acoustics V.IIIB - W.P. Mason ed. 1965 [534 M412p] Ch. 1-2
## Also in Journal of Alloys and Compounds 353 (2003) 74–85
## Data here for Co3O4
# need to determine units for these values
mass = 240.79500/7/1000./6.0221415e23 # average atomic mass in ?kg/atom?
N = 1. #number of atoms per un... | [
2235,
33495,
422,
16331,
4013,
23968,
873,
569,
13,
3978,
9865,
532,
370,
13,
47,
13,
14737,
1225,
13,
17672,
685,
20,
2682,
337,
39226,
79,
60,
609,
13,
352,
12,
17,
220,
201,
198,
2235,
4418,
287,
4913,
286,
1439,
19417,
290,
30... | 1.786571 | 2,085 |
"""
Solver of Black-Scholes PDE using BSDE method or L2-projection of X_T to approximate the conditional expecation E(X_T | F_t)
"""
import torch
import torch.nn as nn
import numpy as np
import argparse
import tqdm
import os
import math
import pandas as pd
from lib.bsde_risk_neutral_measure import FBSDE_BlackScholes ... | [
37811,
198,
50,
14375,
286,
2619,
12,
14874,
4316,
350,
7206,
1262,
24218,
7206,
2446,
393,
406,
17,
12,
16302,
295,
286,
1395,
62,
51,
284,
27665,
262,
26340,
409,
431,
30907,
412,
7,
55,
62,
51,
930,
376,
62,
83,
8,
198,
37811,
... | 2.167619 | 1,575 |
import struct
from collections import defaultdict
import darm
from elftools.elf.elffile import ELFFile
classlist_section_name = '__DATA, __objc_classlist, regular, no_dead_strip'
if __name__ == '__main__':
import sys
if len(sys.argv) < 2:
sys.stderr.write('usage: decompile.py </path/to/l... | [
11748,
2878,
198,
6738,
17268,
1330,
4277,
11600,
198,
198,
11748,
288,
1670,
198,
6738,
1288,
701,
10141,
13,
7046,
13,
417,
487,
576,
1330,
17852,
5777,
576,
628,
198,
4871,
4868,
62,
5458,
62,
3672,
796,
705,
834,
26947,
11,
11593,... | 2.49697 | 165 |
import os
import subprocess
import sys
from collections import namedtuple
import click
from cookiecutter.main import cookiecutter
Command = namedtuple("Command", ["name", "full_command", "error_message"])
def init_cmd(url: str) -> None:
"""
Initializes a contributor package by pulling down the Cookiecutter ... | [
11748,
28686,
198,
11748,
850,
14681,
198,
11748,
25064,
198,
6738,
17268,
1330,
3706,
83,
29291,
198,
198,
11748,
3904,
198,
6738,
19751,
8968,
353,
13,
12417,
1330,
19751,
8968,
353,
198,
198,
21575,
796,
3706,
83,
29291,
7203,
21575,
... | 2.878652 | 445 |
#!/usr/bin/env python3
"""
data_processing.py - Task 1: Pun Detection using word2vec and RNN with LSTM cells
Author: Dung Le (dungle@bennington.edu)
Date: 11/7/2017
"""
import xml.etree.ElementTree as ET
import gensim
import tensorflow as tf
import numpy as np
from retrained_word2vec import sentences
# Lo... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
37811,
198,
220,
220,
220,
1366,
62,
36948,
13,
9078,
532,
15941,
352,
25,
14944,
46254,
1262,
1573,
17,
35138,
290,
371,
6144,
351,
406,
2257,
44,
4778,
198,
220,
220,
220,
6434... | 2.598259 | 804 |
import os
import re
import sys
from typing import Pattern
from .remappings import Remappings
NS_PATTERN: Pattern = re.compile(r'^__ns:=(?P<ns>.*)')
MASTER_PATTERN: Pattern = re.compile(r'^__master:=(?P<master>.+)')
ADDRESS_PATTERN: Pattern = re.compile(r'^__(ip|hostname):=(?P<address>.+)')
| [
11748,
28686,
198,
11748,
302,
198,
11748,
25064,
198,
198,
6738,
19720,
1330,
23939,
198,
198,
6738,
764,
2787,
39242,
1330,
3982,
39242,
628,
198,
8035,
62,
47,
1404,
31800,
25,
23939,
796,
302,
13,
5589,
576,
7,
81,
6,
61,
834,
5... | 2.512605 | 119 |
import logging
import os
import tempfile
from functools import wraps
import typing
import torch
import torch.nn as nn
import onnx
from torch.onnx import TrainingMode
from daceml.onnx import ONNXModel
from daceml.onnx.shape_inference import infer_shapes
class DaceModule(nn.Module):
""" A wrapper that converts a ... | [
11748,
18931,
198,
11748,
28686,
198,
11748,
20218,
7753,
198,
6738,
1257,
310,
10141,
1330,
27521,
198,
11748,
19720,
198,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
11748,
319,
77,
87,
198,
6738,
28034,
13,
26... | 2.275325 | 1,155 |
#!/bin/env python
#
# Copyright (C) 2014 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 require... | [
2,
48443,
8800,
14,
24330,
21015,
198,
2,
198,
2,
15069,
357,
34,
8,
1946,
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,
... | 2.016418 | 9,989 |
import tensorflow as tf
# Default hyper-parameters:
from tensorflow.contrib.seq2seq import BahdanauAttention, LuongAttention
from tacotron.attention import AttentionMode, AttentionScore, LocalLuongAttention
model_params = tf.contrib.training.HParams(
# Number of unique characters in the vocabulary.
vocabular... | [
11748,
11192,
273,
11125,
355,
48700,
198,
198,
2,
15161,
8718,
12,
17143,
7307,
25,
198,
6738,
11192,
273,
11125,
13,
3642,
822,
13,
41068,
17,
41068,
1330,
13081,
25604,
559,
8086,
1463,
11,
6026,
506,
8086,
1463,
198,
198,
6738,
26... | 2.356315 | 1,726 |
'''
/*
* Copyright 2019 Amazon.com, Inc. and its affiliates. All Rights Reserved.
*
* Licensed under the MIT License. See the LICENSE accompanying this file
* for the specific language governing permissions and limitations under
* the License.
*/
'''
from AWSIoTPythonSDK.MQTTLib import DROP_OLDEST
from AW... | [
7061,
6,
198,
11900,
198,
220,
1635,
15069,
13130,
6186,
13,
785,
11,
3457,
13,
290,
663,
29116,
13,
1439,
6923,
33876,
13,
198,
220,
1635,
198,
220,
1635,
49962,
739,
262,
17168,
13789,
13,
4091,
262,
38559,
24290,
19249,
428,
2393,
... | 2.777106 | 2,481 |
# encoding: utf-8
# module renderdoc
# from P:\1-Scripts\_Python\Py-Autocomplete\renderdoc.pyd
# by generator 1.146
# no doc
# imports
import enum as __enum
from .SwigPyObject import SwigPyObject
class ColorBlend(SwigPyObject):
""" Describes the blend configuration for a given output target. """
def __eq__(... | [
2,
21004,
25,
3384,
69,
12,
23,
198,
2,
8265,
8543,
15390,
198,
2,
422,
350,
7479,
16,
12,
7391,
82,
59,
62,
37906,
59,
20519,
12,
16541,
42829,
6677,
59,
13287,
15390,
13,
79,
5173,
198,
2,
416,
17301,
352,
13,
20964,
198,
2,
... | 2.96288 | 889 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#############################################################################
# Copyright Kitware Inc.
#
# 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 th... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
29113,
29113,
7804,
4242,
2,
198,
2,
220,
15069,
10897,
1574,
3457,
13,
198,
2,
198,
2,
220,
49962,
739,
262,
... | 3.77 | 300 |
from textwrap import dedent
import pytest
from pylox.lox import Lox
# Base cases from https://github.com/munificent/craftinginterpreters/blob/master/test/for/closure_in_body.lox
TEST_SRC = dedent(
"""\
var f1;
var f2;
var f3;
for (var i = 1; i < 4; i = i + 1) {
var j = i;
fun f() {
... | [
6738,
2420,
37150,
1330,
4648,
298,
198,
198,
11748,
12972,
9288,
198,
198,
6738,
279,
2645,
1140,
13,
75,
1140,
1330,
406,
1140,
198,
198,
2,
7308,
2663,
422,
3740,
1378,
12567,
13,
785,
14,
6199,
21559,
14,
3323,
278,
3849,
3866,
... | 1.919643 | 336 |
import logging
import os
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(name)s: %(levelname)s %(message)s')
logging.getLogger("pika").setLevel(logging.WARNING)
POSTGRES_USER = os.environ.get('POSTGRES_USER', 'postgres')
POSTGRES_PASSWORD = os.environ.get('POSTGRES_PASSWORD','yellow')
POSTGRES_HOST = o... | [
11748,
18931,
198,
11748,
28686,
198,
198,
6404,
2667,
13,
35487,
16934,
7,
5715,
28,
6404,
2667,
13,
10778,
11,
5794,
11639,
4,
7,
292,
310,
524,
8,
82,
4064,
7,
3672,
8,
82,
25,
4064,
7,
5715,
3672,
8,
82,
4064,
7,
20500,
8,
... | 2.38961 | 231 |
#!/usr/bin/env python
import os
import argparse
import subprocess
import logging
import sys
from uuid import uuid4
from string import maketrans
from collections import namedtuple
from collections import defaultdict as dd
import pysam
import numpy as np
from bx.intervals.intersection import Intersecter, Interval
FO... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
11748,
28686,
198,
11748,
1822,
29572,
198,
11748,
850,
14681,
198,
11748,
18931,
198,
11748,
25064,
198,
198,
6738,
334,
27112,
1330,
334,
27112,
19,
198,
6738,
4731,
1330,
285,
46... | 2.744898 | 392 |
from tkinter import *
root = Tk()
text1 = Text(width=20,height=1)
label1 = Label(width=20)
but1 = Button(width=20, bg='#ff0000')
but2 = Button(width=20, bg='#ff7d00')
but3 = Button(width=20, bg='#ffff00')
but4 = Button(width=20, bg='#00ff00')
but5 = Button(width=20, bg='#007dff')
but6 = Button(width=20, bg... | [
6738,
256,
74,
3849,
1330,
1635,
201,
198,
201,
198,
15763,
796,
309,
74,
3419,
201,
198,
201,
198,
5239,
16,
796,
8255,
7,
10394,
28,
1238,
11,
17015,
28,
16,
8,
201,
198,
18242,
16,
796,
36052,
7,
10394,
28,
1238,
8,
201,
198,... | 2.096774 | 372 |
import tensorflow as tf
t | [
11748,
11192,
273,
11125,
355,
48700,
198,
198,
83
] | 2.888889 | 9 |
from app.api.services import domain_service
from app.api.business.errors import DomainCriteriaInvalidDomainException, DomainCriteriaInvalidRateException
| [
6738,
598,
13,
15042,
13,
30416,
1330,
7386,
62,
15271,
198,
6738,
598,
13,
15042,
13,
22680,
13,
48277,
1330,
20021,
18559,
5142,
44651,
43961,
16922,
11,
20021,
18559,
5142,
44651,
32184,
16922,
628
] | 4.529412 | 34 |
from .core import FuzzySet
# fuzzc.memberships
| [
6738,
764,
7295,
1330,
376,
4715,
88,
7248,
628,
198,
2,
26080,
66,
13,
30814,
5748,
628
] | 2.941176 | 17 |
from unittest import TestCase
from helloworld.greeter import say_hello
| [
6738,
555,
715,
395,
1330,
6208,
20448,
198,
198,
6738,
5968,
322,
1764,
13,
16694,
2357,
1330,
910,
62,
31373,
628
] | 3.47619 | 21 |
from __future__ import annotations
from typing import Any, Union, List
import numpy as np
from nptyping import NDArray
from .core.ElementInGFpn import ElementInGFpn
from .core import types, modulus, validator, primitive_roots as pr
class GFpn:
"""Galois Field: GF(p^n).
Args:
p (int): A prime number... | [
6738,
11593,
37443,
834,
1330,
37647,
198,
6738,
19720,
1330,
4377,
11,
4479,
11,
7343,
198,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
299,
457,
4464,
278,
1330,
25524,
19182,
198,
198,
6738,
764,
7295,
13,
20180,
818,
21713,
21999... | 2.150206 | 972 |
from setuptools import setup, find_packages
from os import path
current_dir = path.abspath(path.dirname(__file__))
with open(path.join(current_dir, 'README.md')) as f:
description = f.read()
setup(
name='avaland',
version='0.1.0-alpha',
description='Avaland is a command-line program to download music... | [
6738,
900,
37623,
10141,
1330,
9058,
11,
1064,
62,
43789,
198,
6738,
28686,
1330,
3108,
198,
198,
14421,
62,
15908,
796,
3108,
13,
397,
2777,
776,
7,
6978,
13,
15908,
3672,
7,
834,
7753,
834,
4008,
198,
198,
4480,
1280,
7,
6978,
13,... | 2.616993 | 765 |
# Copyright (c) Microsoft Corporation
# Licensed under the MIT License.
import os
import copy
import io
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torchvision
import random
from backwardcompatibilityml import loss as bcloss
from backwardcomp... | [
2,
15069,
357,
66,
8,
5413,
10501,
198,
2,
49962,
739,
262,
17168,
13789,
13,
198,
198,
11748,
28686,
198,
11748,
4866,
198,
11748,
33245,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
... | 3.607656 | 209 |
import sys
from fabric.api import task
@task
def test_fab_file():
"""A test task to show correct file has been loaded"""
@task
def identity():
"""Which version of fabfile am I using"""
try:
import fab_support
version = f"fab_support version {fab_support._version.__version__}"
except... | [
11748,
25064,
198,
6738,
9664,
13,
15042,
1330,
4876,
628,
198,
31,
35943,
198,
4299,
1332,
62,
36434,
62,
7753,
33529,
198,
220,
220,
220,
37227,
32,
1332,
4876,
284,
905,
3376,
2393,
468,
587,
9639,
37811,
628,
198,
31,
35943,
198,
... | 2.849315 | 146 |
# import nltk_parser
test_sentence = [['Павел', 'Павлуша'], [','], ['Александр', 'Алекс'], ['и', 'а', 'о'], ['Василий'], ['пошли'], ['гулять'], ['.']]
test_tree = MPT_forming(test_sentence)
print(test_tree.kids.value, test_tree.kids.kids, test_tree.kids.brother) | [
2,
1330,
299,
2528,
74,
62,
48610,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
9288,
62,
34086,
594,
796,
16410,
6,
140,
253,
16142,
38857,
16843,
30143,
3256,
705,
140,
253,
16142,
38857,
30143,
35072,
141,
230,
16142,
6,
435... | 1.754839 | 155 |
# class of learning agent
import tensorflow as tf
import numpy as np
from nn import NeuralNet
import random
import math
class Agent(object):
# initialize with data
# select an action based on policy
# perform action to get next state
# compute the reward
# REWARD 1: fast skipping
# ... | [
201,
198,
2,
1398,
286,
4673,
5797,
201,
198,
11748,
11192,
273,
11125,
355,
48700,
201,
198,
11748,
299,
32152,
355,
45941,
201,
198,
6738,
299,
77,
1330,
47986,
7934,
201,
198,
11748,
4738,
201,
198,
11748,
10688,
201,
198,
201,
198... | 2.766784 | 283 |
import pygame as pg
import numpy as np
from time import time
from settings import *
# test object
| [
11748,
12972,
6057,
355,
23241,
201,
198,
11748,
299,
32152,
355,
45941,
201,
198,
6738,
640,
1330,
640,
201,
198,
6738,
6460,
1330,
1635,
201,
198,
201,
198,
220,
220,
220,
1303,
1332,
2134,
201,
198,
201,
198,
201,
198,
201,
198,
... | 2.659091 | 44 |
from .base import (
ASCENDING,
DESCENDING,
)
from .client import MontyClient
from .database import MontyDatabase
from .collection import MontyCollection
from .cursor import (
MontyCursor,
CursorType
)
from .configure import MontyConfigure
from . import utils
from .version import (
version,
ver... | [
6738,
764,
8692,
1330,
357,
198,
220,
220,
220,
25400,
10619,
2751,
11,
198,
220,
220,
220,
22196,
34,
10619,
2751,
11,
198,
8,
198,
6738,
764,
16366,
1330,
5575,
88,
11792,
198,
6738,
764,
48806,
1330,
5575,
88,
38105,
198,
6738,
7... | 2.442857 | 280 |
#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# @author: Manuel Gunther <siebenkopf@googlemail.com>
# @date: Mon Oct 16 18:35:14 MDT 2017
"""This module provides the Database interface allowing the user to query the JANUS database.
"""
from .reader import *
import bob.db.base
class Database(bob.db.base.Da... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
43907,
25,
900,
2393,
12685,
7656,
28,
40477,
12,
23,
1058,
198,
2,
2488,
9800,
25,
25995,
6748,
490,
1279,
44524,
11722,
74,
404,
69,
31,
13297,
4529,
13,
785,
29,
198,
2,
2488... | 2.634577 | 3,511 |
import math
import random
import time
from amifast import bench
from amifast import dtypes
TOLERANCE = 1e-1
| [
11748,
10688,
198,
11748,
4738,
198,
11748,
640,
198,
198,
6738,
716,
361,
459,
1330,
7624,
198,
6738,
716,
361,
459,
1330,
288,
19199,
628,
198,
51,
3535,
1137,
19240,
796,
352,
68,
12,
16,
628,
628,
628
] | 3.052632 | 38 |
import wx
from gui import MyWindow_1
from random import choice
app = wx.App(0)
MyWindow_2(None).Show()
app.MainLoop()
# app = wx.App(False)
# frame = MyWindow_2(None)
# frame.Show()
# app.MainLoop()
| [
11748,
266,
87,
198,
6738,
11774,
1330,
2011,
27703,
62,
16,
198,
198,
6738,
4738,
1330,
3572,
628,
628,
628,
628,
628,
198,
1324,
796,
266,
87,
13,
4677,
7,
15,
8,
198,
3666,
27703,
62,
17,
7,
14202,
737,
15307,
3419,
198,
1324,
... | 2.482759 | 87 |
# 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
# distributed under t... | [
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
345,
743,
198,
2,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
921,
743,
7330,
198,
2,
257,
4866,
286,
262,
13789,
379,
198,
2,... | 3.130926 | 443 |
#!/usr/bin/env python
import os
import re
import subprocess
import sys
from argparse import ArgumentParser, ArgumentError
from datetime import datetime
import yaml
from ebi_eva_common_pyutils import command_utils
from ebi_eva_common_pyutils.command_utils import run_command_with_output
from ebi_eva_common_pyutils.confi... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
11748,
28686,
198,
11748,
302,
198,
11748,
850,
14681,
198,
11748,
25064,
198,
6738,
1822,
29572,
1330,
45751,
46677,
11,
45751,
12331,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
198,
... | 3.048327 | 269 |
# Benjamin Chu
# Python Script - Test Case #3
# Using the World of Warcraft Item Set Web API,
# retrieve data for 'Finkle's Lava Dredger' 10,000+
# times to confirm throttling.
import requests
import json
item_id = 18803 # Finkle's Lava Dredger Item ID
# API Urls for individual regions
api_us_url = "http://us.battl... | [
2,
14533,
25459,
198,
2,
11361,
12327,
532,
6208,
8913,
1303,
18,
198,
198,
2,
8554,
262,
2159,
286,
26952,
9097,
5345,
5313,
7824,
11,
198,
2,
19818,
1366,
329,
705,
37,
19894,
338,
406,
4170,
360,
445,
1362,
6,
838,
11,
830,
10,... | 2.817133 | 607 |
"""
# Copyright 2021 Xiang Wang, Inc. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
Author: Xiang Wang, xiangking1995@163.... | [
37811,
198,
2,
15069,
33448,
45641,
15233,
11,
3457,
13,
1439,
6923,
33876,
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... | 3.350467 | 214 |
#!/usr/bin/env python
from __future__ import division
import rospy
import tf
import scipy.linalg as la
import numpy as np
from math import *
import mavros_msgs.srv
from mavros_msgs.msg import AttitudeTarget
from nav_msgs.msg import Odometry
from std_msgs.msg import *
from geometry_msgs.msg import *
from mavros_msgs.msg... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
11748,
686,
2777,
88,
198,
11748,
48700,
198,
11748,
629,
541,
88,
13,
75,
1292,
70,
355,
8591,
198,
11748,
299,
32152,
355,
45941,
198,
6738,... | 2.086835 | 1,071 |
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | [
2,
198,
2,
49962,
284,
262,
24843,
10442,
5693,
357,
1921,
37,
8,
739,
530,
393,
517,
198,
2,
18920,
5964,
11704,
13,
220,
4091,
262,
28536,
2393,
9387,
351,
198,
2,
428,
670,
329,
3224,
1321,
5115,
6634,
9238,
13,
198,
2,
383,
... | 3.813636 | 440 |
from . import clustering
from . import plotting
from . import do_segmentation
from . import argparser
#from . import identity
from . import leaflets
from . import settests
| [
6738,
764,
1330,
32966,
1586,
198,
6738,
764,
1330,
29353,
198,
6738,
764,
1330,
466,
62,
325,
5154,
341,
198,
6738,
764,
1330,
1822,
48610,
198,
2,
6738,
764,
1330,
5369,
198,
6738,
764,
1330,
48409,
198,
6738,
764,
1330,
2970,
3558,... | 4 | 43 |
import csv
import os
#2
| [
11748,
269,
21370,
198,
11748,
28686,
198,
198,
2,
17,
628,
628
] | 2.333333 | 12 |
from typing import Any, List, Optional
from ..caches import DEFAULT_CACHE_DIR
from ..configs import MethodLayerConfig
from ..mappers import (
SingleDomainRankingMethodMapper,
MultiDomainRankingMethodMapper,
MethodLayerRankingCacheMapper,
MethodLayerDataCacheMapper,
)
from ..data import DomainPDFList
fr... | [
6738,
19720,
1330,
4377,
11,
7343,
11,
32233,
198,
198,
6738,
11485,
66,
3694,
1330,
5550,
38865,
62,
34,
2246,
13909,
62,
34720,
198,
6738,
11485,
11250,
82,
1330,
11789,
49925,
16934,
198,
6738,
11485,
76,
46629,
1330,
357,
198,
220,
... | 3.240437 | 183 |
from collections import deque
import gym
from baselines.common.atari_wrappers import NoopResetEnv, MaxAndSkipEnv, FireResetEnv, EpisodicLifeEnv
import numpy as np
import cv2
# Below are copied or adapted from OpenAI's baselines.common.atari_wrappers.py
| [
6738,
17268,
1330,
390,
4188,
198,
198,
11748,
11550,
198,
6738,
1615,
20655,
13,
11321,
13,
35554,
62,
29988,
11799,
1330,
1400,
404,
4965,
316,
4834,
85,
11,
5436,
1870,
50232,
4834,
85,
11,
3764,
4965,
316,
4834,
85,
11,
4551,
271,... | 3.134146 | 82 |
from module import suml, prodl
zeroes = [0 for i in range(5)]
ones = [1 for i in range(5)]
print(suml(zeroes))
print(prodl(ones)) | [
6738,
8265,
1330,
2160,
75,
11,
386,
25404,
198,
198,
9107,
3028,
796,
685,
15,
329,
1312,
287,
2837,
7,
20,
15437,
198,
1952,
796,
685,
16,
329,
1312,
287,
2837,
7,
20,
15437,
198,
4798,
7,
16345,
75,
7,
9107,
3028,
4008,
198,
... | 2.54902 | 51 |
from .mobilenetv2 import QuantizableMobileNetV2, mobilenet_v2, __all__ as mv2_all
from .mobilenetv3 import QuantizableMobileNetV3, mobilenet_v3_large, mobilenet_v3_small, __all__ as mv3_all
__all__ = mv2_all + mv3_all
| [
6738,
764,
76,
25898,
268,
316,
85,
17,
1330,
16972,
13821,
17066,
7934,
53,
17,
11,
17754,
268,
316,
62,
85,
17,
11,
11593,
439,
834,
355,
285,
85,
17,
62,
439,
198,
6738,
764,
76,
25898,
268,
316,
85,
18,
1330,
16972,
13821,
1... | 2.329787 | 94 |
from doit.action import CmdAction
from plumbum import local
import dodos.noisepage
from dodos import VERBOSITY_DEFAULT
DEFAULT_DB = "np_pilot"
DEFAULT_USER_DAEMON = "np_pilot_daemon"
DEFAULT_USER_CLIENT = "np_pilot_client"
DEFAULT_PASS_DAEMON = "np_pilot_daemon_pass"
DEFAULT_PASS_CLIENT = "np_pilot_client_pass"
DB_C... | [
6738,
466,
270,
13,
2673,
1330,
327,
9132,
12502,
198,
6738,
458,
2178,
388,
1330,
1957,
198,
198,
11748,
20764,
418,
13,
3919,
271,
538,
496,
198,
6738,
20764,
418,
1330,
33310,
33,
2640,
9050,
62,
7206,
38865,
198,
198,
7206,
38865,... | 1.939646 | 1,806 |
# Copyright (c) 2012 by California Institute of Technology
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this... | [
2,
15069,
357,
66,
8,
2321,
416,
3442,
5136,
286,
8987,
198,
2,
1439,
2489,
10395,
13,
198,
2,
198,
2,
2297,
396,
3890,
290,
779,
287,
2723,
290,
13934,
5107,
11,
351,
393,
1231,
198,
2,
17613,
11,
389,
10431,
2810,
326,
262,
17... | 1.952676 | 7,269 |
# Generated by Django 3.2.7 on 2021-10-25 21:26
from django.db import migrations, models
import django.utils.timezone
| [
2,
2980,
515,
416,
37770,
513,
13,
17,
13,
22,
319,
33448,
12,
940,
12,
1495,
2310,
25,
2075,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
198,
11748,
42625,
14208,
13,
26791,
13,
2435,
11340,
628
] | 2.926829 | 41 |
import os
import ujson
import zlib
from base64 import urlsafe_b64encode as b64e, urlsafe_b64decode as b64d
if (__name__ == '__main__'):
data = get_zone_records("./web-service.org.txt", domain="web-service.org", interested_in=['A'], invert=True)
print(ujson.dumps(data, indent=4))
print('-'*30)
if (0):... | [
11748,
28686,
198,
11748,
334,
17752,
198,
198,
11748,
1976,
8019,
198,
6738,
2779,
2414,
1330,
2956,
7278,
8635,
62,
65,
2414,
268,
8189,
355,
275,
2414,
68,
11,
2956,
7278,
8635,
62,
65,
2414,
12501,
1098,
355,
275,
2414,
67,
198,
... | 2.285714 | 406 |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import os
if __name__=='__main__':
main()
| [
2,
0,
1220,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
11748,
25064,
198,
11748,
28686,
628,
198,
198,
361,
11593,
3672,
834,
855,
6,
834,
12417,
834,
10354,
198... | 2.137255 | 51 |
from Core import GlobalExceptions
| [
6738,
7231,
1330,
8060,
3109,
11755,
198
] | 4.857143 | 7 |
# !/usr/bin/python
# coding=utf-8
import sys, getopt, os
from dfa import DFA
from instruction import read_instrs
default_args = {'-c':0, '-s':0, '-r':0, '-l':0, '3addr_code_file_name':'examples/gcd.c.3addr'}
if __name__ == '__main__':
main()
| [
2,
5145,
14,
14629,
14,
8800,
14,
29412,
201,
198,
2,
19617,
28,
40477,
12,
23,
201,
198,
11748,
25064,
11,
651,
8738,
11,
28686,
201,
198,
6738,
288,
13331,
1330,
360,
7708,
201,
198,
6738,
12064,
1330,
1100,
62,
259,
2536,
82,
2... | 2.132231 | 121 |
from io import StringIO
import subprocess as sp
import os
list1 = ["867-5309", "751-8745", "546-9874"]
list1_converted = ["243-0751", "309-2360", "064-1236"]
help_flags = ["-h", "--help"]
| [
6738,
33245,
1330,
10903,
9399,
198,
11748,
850,
14681,
355,
599,
198,
11748,
28686,
198,
198,
4868,
16,
796,
14631,
23,
3134,
12,
20,
26895,
1600,
366,
48365,
12,
5774,
2231,
1600,
366,
49489,
12,
4089,
4524,
8973,
198,
4868,
16,
62,... | 2.423077 | 78 |
#!/usr/bin/env python
import copy
import json
import tqdm
import tarfile
from collections import Counter
import qcportal as ptl
import qcelemental as qcel
from qcelemental.models import Molecule
dataset_name = "Kinase Inhibitors: WBO Distributions"
update = True
client = ptl.FractalClient.from_file()
print(client)
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
11748,
4866,
198,
11748,
33918,
198,
11748,
256,
80,
36020,
198,
11748,
13422,
7753,
198,
6738,
17268,
1330,
15034,
198,
11748,
10662,
66,
634,
282,
355,
279,
28781,
198,
11748,
106... | 2.330696 | 632 |
from flask import Flask, jsonify, request
from flask_cors import CORS
import sqlite3
# configuration
DEBUG = True
# instantiate the app
app = Flask(__name__)
app.config.from_object(__name__)
#instantiate database
database = 'stw3.db'
GlobalID = []
# enable CORS
CORS(app, resources={r'/*': {'origins': '*'}})
Globa... | [
6738,
42903,
1330,
46947,
11,
33918,
1958,
11,
2581,
198,
6738,
42903,
62,
66,
669,
1330,
327,
20673,
198,
11748,
44161,
578,
18,
628,
198,
2,
8398,
198,
30531,
796,
6407,
198,
198,
2,
9113,
9386,
262,
598,
198,
1324,
796,
46947,
7,... | 2.686567 | 268 |
from datetime import datetime, timedelta
from typing import List
from joj.horse.schemas import BaseModel
from joj.horse.schemas.user import User
| [
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
198,
6738,
19720,
1330,
7343,
198,
198,
6738,
2525,
73,
13,
30527,
13,
1416,
4411,
292,
1330,
7308,
17633,
198,
6738,
2525,
73,
13,
30527,
13,
1416,
4411,
292,
13,
7220,
1330,
1178... | 3.386364 | 44 |
print fib(12)
print fib(2)
print fib(-2)
print fib(4)
| [
198,
4798,
12900,
7,
1065,
8,
198,
4798,
12900,
7,
17,
8,
198,
4798,
12900,
32590,
17,
8,
198,
4798,
12900,
7,
19,
8,
198
] | 2.2 | 25 |
if __name__ == "__main__":
sort_process = sort_by_step([6, 9, 5, 4, 8, 10])
for i in range(0,21):
print(next(sort_process))
| [
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
3297,
62,
14681,
796,
3297,
62,
1525,
62,
9662,
26933,
21,
11,
860,
11,
642,
11,
604,
11,
807,
11,
838,
12962,
198,
220,
220,
220,
329,
... | 2.086957 | 69 |
""" A RouteProvider Service Provider """
import json
import re
from pydoc import locate
from masonite.provider import ServiceProvider
from masonite.view import View
| [
37811,
317,
18956,
29495,
4809,
32549,
37227,
198,
198,
11748,
33918,
198,
11748,
302,
198,
6738,
279,
5173,
420,
1330,
17276,
198,
198,
6738,
285,
888,
578,
13,
15234,
1304,
1330,
4809,
29495,
198,
6738,
285,
888,
578,
13,
1177,
1330,
... | 3.906977 | 43 |
from distutils.core import setup
setup(
name='kete_hs21',
version='1.0',
packages=[''],
url='',
license='Apache 2.0',
author='41796',
author_email='armon.dressler@gmail.com',
description='key technologies school project'
)
| [
6738,
1233,
26791,
13,
7295,
1330,
9058,
198,
198,
40406,
7,
198,
220,
220,
220,
1438,
11639,
7126,
68,
62,
11994,
2481,
3256,
198,
220,
220,
220,
2196,
11639,
16,
13,
15,
3256,
198,
220,
220,
220,
10392,
41888,
7061,
4357,
198,
220... | 2.534653 | 101 |
"""Debugging support."""
import logging
from vine.utils import wraps
from kombu.log import get_logger
__all__ = ('setup_logging', 'Logwrapped')
def setup_logging(loglevel=logging.DEBUG, loggers=None):
"""Setup logging to stdout."""
loggers = ['kombu.connection', 'kombu.channel'] if not loggers else logger... | [
37811,
27509,
2667,
1104,
526,
15931,
198,
198,
11748,
18931,
198,
198,
6738,
17793,
13,
26791,
1330,
27521,
198,
198,
6738,
479,
2381,
84,
13,
6404,
1330,
651,
62,
6404,
1362,
198,
198,
834,
439,
834,
796,
19203,
40406,
62,
6404,
266... | 2.695455 | 220 |
#!/usr/bin/env python3
from tgnoti import TGNotifier
if __name__ == "__main__":
main()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
6738,
256,
70,
1662,
72,
1330,
44121,
3673,
7483,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
198
] | 2.410256 | 39 |
# 「プロパティ」エリア → 「マテリアル」タブ
import os
import re
import sys
import time
import bpy
import bmesh
import mathutils
from . import common
from . import compat
from . import cm3d2_data
# メニュー等に項目追加 (for 2.7x or less)
@compat.BlRegister(only_latest=True)
@compat.BlRegister()
@compat.BlRegister()
@compat.BlRegister()
... | [
2,
40283,
30965,
16253,
32546,
44431,
13700,
23544,
12675,
11839,
15168,
40283,
20115,
24336,
12675,
47794,
13700,
23376,
24001,
198,
11748,
28686,
198,
11748,
302,
198,
11748,
25064,
198,
11748,
640,
198,
11748,
275,
9078,
198,
11748,
275,
... | 2.329949 | 197 |
#!/usr/bin/env python
import numpy as np
from connect_board import board
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
2018,
62,
3526,
1330,
3096,
198
] | 3.217391 | 23 |
from __future__ import annotations
from typing import Iterable
| [
6738,
11593,
37443,
834,
1330,
37647,
198,
198,
6738,
19720,
1330,
40806,
540,
628
] | 4.642857 | 14 |
"""
============================
Lasso with held-out test set
============================
This example shows how to perform hyperparameter optimization
for a Lasso using a held-out validation set.
"""
# Authors: Quentin Bertrand <quentin.bertrand@inria.fr>
# Quentin Klopfenstein <quentin.klopfenstein@u-bou... | [
37811,
198,
4770,
25609,
198,
43,
28372,
351,
2714,
12,
448,
1332,
900,
198,
4770,
25609,
198,
198,
1212,
1672,
2523,
703,
284,
1620,
8718,
17143,
2357,
23989,
198,
1640,
257,
406,
28372,
1262,
257,
2714,
12,
448,
21201,
900,
13,
198,... | 2.651961 | 1,428 |
# Дан файл. Определите сколько в нем букв (латинского алфавита), слов, строк. Выведите три найденных числа в формате,
# приведенном в примере. Словом считается последовательность больших и маленьких латинских букв (для проверки того,
# состоит ли строка только из латинских букв удобно пользоваться методом isalpha()). В... | [
2,
12466,
242,
16142,
22177,
220,
141,
226,
16142,
140,
117,
30143,
13,
12466,
252,
140,
123,
21169,
16843,
43666,
16843,
30143,
18849,
20375,
16843,
220,
21727,
31583,
25443,
119,
45367,
31583,
15166,
12466,
110,
12466,
121,
16843,
43108,
... | 1.439286 | 560 |
from board import *
from piece import *
import copy
import math
import numpy
# Randomly places the given players pieces to start game
# Stores all of the movable pieces for the given player
# Force-populates myPieces and myMovables
# returns all the... | [
6738,
3096,
1330,
1635,
201,
198,
6738,
3704,
1330,
1635,
201,
198,
11748,
4866,
201,
198,
11748,
10688,
201,
198,
11748,
299,
32152,
201,
198,
201,
198,
201,
198,
201,
198,
201,
198,
201,
198,
220,
220,
220,
1303,
14534,
306,
4113,
... | 1.834224 | 7,299 |
#!/usr/bin/env python
#-*- coding:utf-8 -*-
from logger import logger
if __name__ == '__main__':
divider = 0
mainFunc(divider)
print('I am fine. Thank you , and you?')
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
12,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
6738,
49706,
1330,
49706,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
2659,
130... | 2.426667 | 75 |
#! /usr/env/bin python
import numpy as np
from pyboas import predictor, models
# Build random 3-parameter normal posterior.
posterior = np.random.randn(100, 3)
def test_basic_shape():
"""Test basic shape conditions on output of predictions."""
time = np.random.rand(4, )
pred1 = predictor.GaussPredicto... | [
2,
0,
1220,
14629,
14,
24330,
14,
8800,
21015,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
12972,
2127,
292,
1330,
41568,
11,
4981,
198,
198,
2,
10934,
4738,
513,
12,
17143,
2357,
3487,
34319,
13,
198,
79,
6197,
1504,
796,
4... | 2.736052 | 466 |
"""
Demonstrates iterating/looping through a list
"""
temperatures = [34.56, 56.45, 45.98, 47.62, 67.87, 55.12] #A list containing a series of temperatures
for t in temperatures : #Prints every value in the temperatures list using a for loop
print("Loop 1:", t)
print(... | [
37811,
198,
35477,
2536,
689,
11629,
803,
14,
5439,
15816,
832,
257,
1351,
198,
37811,
198,
198,
11498,
525,
6691,
796,
685,
2682,
13,
3980,
11,
7265,
13,
2231,
11,
4153,
13,
4089,
11,
6298,
13,
5237,
11,
8275,
13,
5774,
11,
5996,
... | 2.4677 | 387 |
import os
import json
import math
import multiprocessing
import tornado.gen
import tornado.web
from tornado.template import Loader
from tornado.concurrent import run_on_executor
from concurrent.futures import ThreadPoolExecutor
import tornado.escape
from logger import Logger
from osm_graph import findRoute
| [
198,
11748,
28686,
198,
11748,
33918,
198,
11748,
10688,
198,
11748,
18540,
305,
919,
278,
198,
11748,
33718,
13,
5235,
198,
11748,
33718,
13,
12384,
198,
6738,
33718,
13,
28243,
1330,
8778,
263,
198,
6738,
33718,
13,
1102,
14421,
1330,
... | 3.829268 | 82 |
"""
The reader is part of the new database concept 2017.
The task of the reader is to take a database JSON and an dataset identifier as
an input and load all meta data for each observation with corresponding
numpy arrays for each time signal (non stacked).
An example ID often stands for utterance ID. In case of speak... | [
37811,
198,
464,
9173,
318,
636,
286,
262,
649,
6831,
3721,
2177,
13,
198,
198,
464,
4876,
286,
262,
9173,
318,
284,
1011,
257,
6831,
19449,
290,
281,
27039,
27421,
355,
198,
272,
5128,
290,
3440,
477,
13634,
1366,
329,
1123,
13432,
... | 2.475563 | 1,821 |
# -*- coding: utf-8 -*-
import hashlib
import io
import struct
# default from KeePass2 source
BLOCK_LENGTH = 1024 * 1024
try:
file_types = (file, io.IOBase)
except NameError:
file_types = (io.IOBase,)
# HEADER_LENGTH = 4+32+4
class HashedBlockIO(io.BytesIO):
"""
The data is stored in hashed blocks.... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
12234,
8019,
198,
11748,
33245,
198,
11748,
2878,
198,
198,
2,
4277,
422,
19799,
14478,
17,
2723,
198,
9148,
11290,
62,
43,
49494,
796,
28119,
1635,
28119,
198,
1... | 2.299545 | 1,539 |
from flask import Flask, render_template, request
import json
from flask_cors import CORS
import numpy as np
import cv2 # Library for image processing
from math import floor
app = Flask(__name__)
CORS(app)
@app.route('/api', methods=['GET','POST'])#Health End Point Defining
@app.route('/... | [
6738,
42903,
1330,
46947,
11,
8543,
62,
28243,
11,
2581,
198,
11748,
33918,
198,
6738,
42903,
62,
66,
669,
1330,
327,
20673,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
269,
85,
17,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2... | 2.550296 | 169 |
import numpy as np
import cffi
import os
from awrams.utils.nodegraph import nodes
from awrams.utils import geo, extents
from awrams.utils.helpers import as_int
from awrams.utils.mapping_types import gen_coordset
ffi = cffi.FFI()
ffi.cdef("void undo_thing(double *in, double *out, int xn, int yn, int scalefac);... | [
11748,
299,
32152,
355,
45941,
201,
198,
11748,
269,
487,
72,
201,
198,
11748,
28686,
201,
198,
6738,
3253,
9474,
13,
26791,
13,
17440,
34960,
1330,
13760,
201,
198,
6738,
3253,
9474,
13,
26791,
1330,
40087,
11,
1070,
658,
201,
198,
6... | 2.242116 | 983 |
#!/usr/bin/python
import yaml
users = [{'name': 'John Doe', 'occupation': 'gardener'},
{'name': 'Lucy Black', 'occupation': 'teacher'}]
with open('users.yaml', 'w') as f:
data = yaml.dump(users, f)
| [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
198,
11748,
331,
43695,
198,
198,
18417,
796,
685,
90,
6,
3672,
10354,
705,
7554,
31780,
3256,
705,
19596,
341,
10354,
705,
19977,
877,
6,
5512,
198,
220,
220,
220,
220,
220,
220,
220,
220,... | 2.212121 | 99 |
# Exercise 10: Tuning decision tree classifier using grid search in pipeline
# continuing from Activity 4:
# Specify the hyperparameter space
import numpy as np
grid = {'criterion': ['gini', 'entropy'],
'min_weight_fraction_leaf': np.linspace(0.0, 0.5, 10),
'min_impurity_decrease': np.linspace(0.0, 1.... | [
2,
32900,
838,
25,
13932,
278,
2551,
5509,
1398,
7483,
1262,
10706,
2989,
287,
11523,
198,
198,
2,
8282,
422,
24641,
604,
25,
198,
198,
2,
18291,
1958,
262,
8718,
17143,
2357,
2272,
198,
11748,
299,
32152,
355,
45941,
198,
25928,
796,... | 2.854478 | 268 |
import io
import numpy as np
from PIL import Image
| [
11748,
33245,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
350,
4146,
1330,
7412,
628,
198
] | 3.176471 | 17 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
spinMultiplicity = 2
opticalIsomers = 1
externalSymmetry = 2
energy = {
'CBS-QB3': GaussianLog('p5.log'),
'CCSD(T)-F12/cc-pVTZ-F12': MolproLog('p5_f12.out'),
}
frequencies = GaussianLog('p5freq.log')
rotors = [HinderedRotor(scanLog=ScanLog('scan_0.lo... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
201,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
39706,
15205,
24705,
8467,
796,
362,
201,
198,
201,
198,
8738,
605,
3792,
21499,
796,
352,
201,
198,
22615,
... | 2.061538 | 325 |
__author__ = ["Francisco Clavero"]
__email__ = ["fcoclavero32@gmail.com"]
__status__ = "Prototype"
from ..settings import EN
from .common import SpellChecker
class EnglishSpellCheckerSingleton(SpellChecker):
"""
Utility class to manage a single SpellChecker instance for english.
"""
__instance = No... | [
834,
9800,
834,
796,
14631,
42885,
4861,
1012,
8770,
78,
8973,
198,
834,
12888,
834,
796,
14631,
16072,
420,
5031,
332,
78,
2624,
31,
14816,
13,
785,
8973,
198,
834,
13376,
834,
796,
366,
19703,
8690,
1,
628,
198,
6738,
11485,
33692,
... | 2.681592 | 402 |
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | [
2,
15069,
2177,
3012,
3457,
13,
1439,
6923,
33876,
13,
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,
... | 3.029101 | 1,134 |
from os import path
from ..dojo_test_case import DojoTestCase
from dojo.tools.anchore_enterprise.parser import AnchoreEnterpriseParser
from dojo.tools.anchore_enterprise.parser import extract_cve, search_filepath
from dojo.models import Test
| [
6738,
28686,
1330,
3108,
198,
6738,
11485,
4598,
7639,
62,
9288,
62,
7442,
1330,
2141,
7639,
14402,
20448,
198,
6738,
466,
7639,
13,
31391,
13,
3702,
382,
62,
9255,
7919,
13,
48610,
1330,
29253,
382,
17469,
7919,
46677,
198,
6738,
466,
... | 3.422535 | 71 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-05-23 23:40
from __future__ import unicode_literals
import api.shows.models
from django.db import migrations, models
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
2980,
515,
416,
37770,
352,
13,
940,
13,
22,
319,
2177,
12,
2713,
12,
1954,
2242,
25,
1821,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
... | 2.8125 | 64 |
from typing import Optional, Tuple
import numpy as np
from mne.preprocessing.bads import _find_outliers
from numpy.typing import ArrayLike, NDArray
from ._checks import _check_type
from ._logs import logger
def generate_async_timings(
sequence_timings: ArrayLike,
zscore: float = 2.0,
valid_perc: float =... | [
6738,
19720,
1330,
32233,
11,
309,
29291,
198,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
285,
710,
13,
3866,
36948,
13,
65,
5643,
1330,
4808,
19796,
62,
448,
75,
3183,
198,
6738,
299,
32152,
13,
774,
13886,
1330,
15690,
7594,
11,... | 2.630332 | 1,055 |
from unittest.mock import MagicMock
from azure.storage.blob import BlobClient, BlobServiceClient, ContainerClient
from conftest import CosmosClientMock
from prefect import flow
from prefect_azure.credentials import (
BlobStorageAzureCredentials,
CosmosDbAzureCredentials,
MlAzureCredentials,
)
| [
6738,
555,
715,
395,
13,
76,
735,
1330,
6139,
44,
735,
198,
198,
6738,
35560,
495,
13,
35350,
13,
2436,
672,
1330,
1086,
672,
11792,
11,
1086,
672,
16177,
11792,
11,
43101,
11792,
198,
6738,
369,
701,
395,
1330,
39972,
11792,
44,
73... | 2.971698 | 106 |
from flask import Blueprint, jsonify, request
from db.sqlite3 import api_log, api_query
import requests
from datetime import datetime
import json
restful_api = Blueprint('restful_api', __name__)
@restful_api.errorhandler(404)
@restful_api.route('/')
@restful_api.route('/weather/current')
@restful_api.route('/... | [
6738,
42903,
1330,
39932,
11,
33918,
1958,
11,
2581,
198,
6738,
20613,
13,
25410,
578,
18,
1330,
40391,
62,
6404,
11,
40391,
62,
22766,
198,
11748,
7007,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
11748,
33918,
198,
198,
2118,
913,
... | 2.920635 | 126 |
import struct
import zlib
import logging
import base64
from Crypto.Cipher import AES, DES
from core.encryption.EncryptionServiceBase import EncryptionService
from core.encryption.Exceptions import CheckSumFailure
log = logging.getLogger(__name__)
# assumes that key is in string format and data is in bytes
... | [
11748,
2878,
198,
11748,
1976,
8019,
198,
11748,
18931,
198,
11748,
2779,
2414,
198,
198,
6738,
36579,
13,
34,
10803,
1330,
34329,
11,
22196,
198,
198,
6738,
4755,
13,
12685,
13168,
13,
27195,
13168,
16177,
14881,
1330,
14711,
13168,
1617... | 3.672 | 125 |
# 1423634
#
# https://adventofcode.com/2016/day/19
# This solution uses a doubly-linked circular list.
# One pointer points to the elf whose turn it is.
# Another pointer points to the middle elf.
nElves = 5 # test case
nElves = 11 # test case
nElves = 3017957
root = Elf(1)
a = 1
current = root
for id in range(2, ... | [
2,
1478,
24940,
2682,
198,
2,
220,
198,
2,
3740,
1378,
324,
1151,
1659,
8189,
13,
785,
14,
5304,
14,
820,
14,
1129,
198,
198,
2,
770,
4610,
3544,
257,
3385,
306,
12,
25614,
18620,
1351,
13,
198,
2,
1881,
17562,
2173,
284,
262,
2... | 2.454315 | 394 |
import tom.hello as h
h.say_hello()
| [
11748,
16667,
13,
31373,
355,
289,
198,
198,
71,
13,
16706,
62,
31373,
3419,
628
] | 2.533333 | 15 |
"""This file contains test cases for the Chinese Language Generator"""
from typing import Tuple
import pytest
from more_itertools import only
from adam.axes import (
HorizontalAxisOfObject,
FacingAddresseeAxis,
AxesInfo,
GRAVITATIONAL_AXIS_FUNCTION,
)
from adam.ontology.phase2_ontology import gravitat... | [
37811,
1212,
2393,
4909,
1332,
2663,
329,
262,
3999,
15417,
35986,
37811,
628,
198,
6738,
19720,
1330,
309,
29291,
198,
11748,
12972,
9288,
198,
6738,
517,
62,
270,
861,
10141,
1330,
691,
198,
6738,
23197,
13,
897,
274,
1330,
357,
198,
... | 3.05668 | 3,211 |
import numpy as np
import cv2
import random
cap = cv2.VideoCapture(1)
ret, frame = cap.read()
height, width, channels = frame.shape
frame = cv2.resize(frame, (int(width * 1.5),int(height * 1.5)), interpolation = cv2.INTER_AREA)
height, width, channels = frame.shape
img = np.zeros((height, width, channels)... | [
11748,
299,
32152,
355,
45941,
201,
198,
11748,
269,
85,
17,
201,
198,
11748,
4738,
201,
198,
201,
198,
11128,
796,
269,
85,
17,
13,
10798,
49630,
7,
16,
8,
201,
198,
1186,
11,
5739,
796,
1451,
13,
961,
3419,
201,
198,
17015,
11,
... | 1.827957 | 2,325 |
import numpy as np
import functions
from ssp_bayes_opt.agent import SSPAgent
# func, bounds, T = functions.factory('branin-hoo')
func, bounds, T = functions.factory('himmelblau')
a = np.linspace(bounds[0,0], bounds[0,1], 100)
b = np.linspace(bounds[1,0], bounds[1,1], 100)
X, Y = np.meshgrid(a,b)
init_xs = np.vs... | [
11748,
299,
32152,
355,
45941,
198,
11748,
5499,
628,
198,
6738,
264,
2777,
62,
24406,
274,
62,
8738,
13,
25781,
1330,
311,
4303,
36772,
198,
198,
2,
25439,
11,
22303,
11,
309,
796,
5499,
13,
69,
9548,
10786,
1671,
272,
259,
12,
71,... | 2.102975 | 437 |
from typing import Optional
class DataPipelinesError(Exception):
"""Base class for all exceptions in data_pipelines_cli module"""
message: str
"""explanation of the error"""
submessage: Optional[str]
"""additional informations for the error"""
class DependencyNotInstalledError(DataPipelinesErro... | [
6738,
19720,
1330,
32233,
628,
198,
4871,
6060,
47,
541,
20655,
12331,
7,
16922,
2599,
198,
220,
220,
220,
37227,
14881,
1398,
329,
477,
13269,
287,
1366,
62,
79,
541,
20655,
62,
44506,
8265,
37811,
628,
220,
220,
220,
3275,
25,
965,
... | 3.490196 | 357 |
from django.conf import settings
from django.contrib.auth.models import AnonymousUser, Permission
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
class AbstractRefreshToken(models.Model):
"""
Abstract base... | [
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
19200,
12982,
11,
2448,
3411,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
11299,
19199,
13,
25747,
1330,
42044,
33616,
9218,
... | 2.692868 | 687 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 15 17:00:54 2021
@author: ghiggi
"""
import numpy as np
import matplotlib.pyplot as plt
#-----------------------------------------------------------------------------.
######################
### Miscellaneous ####
######################
def is_sorte... | [
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,
19480,
2365,
1315,
1596,
25,
405,
25,
4051,
33448,
198,
198,
31,
9800,
25,
24997,
6950,
7... | 2.407241 | 6,905 |
import pathlib
from setuptools import find_packages, setup
HERE = pathlib.Path(__file__).parent
README = (HERE / 'README.md').read_text()
requires = (HERE / 'requirements.txt').read_text().split('\n')
setup(
name="sentivi",
version="1.1.0",
description="A simple tool for Vietnamese Sentiment Analysis",
... | [
11748,
3108,
8019,
198,
6738,
900,
37623,
10141,
1330,
1064,
62,
43789,
11,
9058,
198,
198,
39,
9338,
796,
3108,
8019,
13,
15235,
7,
834,
7753,
834,
737,
8000,
198,
15675,
11682,
796,
357,
39,
9338,
1220,
705,
15675,
11682,
13,
9132,
... | 2.625 | 312 |
"""the first alembic revision
Revision ID: e3b50f666fbb
Revises:
Create Date: 2016-05-30 11:32:22.585690
"""
# revision identifiers, used by Alembic.
revision = 'e3b50f666fbb'
down_revision = None
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
| [
37811,
1169,
717,
31341,
2022,
291,
18440,
198,
198,
18009,
1166,
4522,
25,
304,
18,
65,
1120,
69,
27310,
69,
11848,
198,
18009,
2696,
25,
220,
198,
16447,
7536,
25,
1584,
12,
2713,
12,
1270,
1367,
25,
2624,
25,
1828,
13,
38905,
358... | 2.612613 | 111 |