content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
# GridGain Community Edition Licensing
# Copyright 2019 GridGain Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License") modified with Commons Clause
# Restriction; you may not use this file except in compliance with the License. You may obtain a
# copy of th... | [
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
24846,
38,
391,
8108,
5061,
10483,
26426,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
... | 2.548508 | 13,338 |
#!/usr/bin/env python
import sys, os
import itertools, shutil
path = os.path.abspath(__file__)
path = os.path.split(path)[0]
os.chdir(path)
print path
device_ssh_ip = ""
ssh_device = device_ssh_ip.split(",")
path_tcs = path + "/tcs"
path_result= path + "/result"
path_allpairs = path + "/allpairs"
path_resource = path ... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
11748,
25064,
11,
28686,
198,
11748,
340,
861,
10141,
11,
4423,
346,
198,
198,
6978,
796,
28686,
13,
6978,
13,
397,
2777,
776,
7,
834,
7753,
834,
8,
198,
6978,
796,
28686,
13,
6978,
... | 2.658602 | 372 |
"""Command models to open a Thermocycler's lid."""
from __future__ import annotations
from typing import Optional, TYPE_CHECKING
from typing_extensions import Literal, Type
from pydantic import BaseModel, Field
from ..command import AbstractCommandImpl, BaseCommand, BaseCommandCreate
from opentrons.protocol_engine.ty... | [
37811,
21575,
4981,
284,
1280,
257,
12634,
76,
13733,
22902,
338,
19789,
526,
15931,
198,
6738,
11593,
37443,
834,
1330,
37647,
198,
6738,
19720,
1330,
32233,
11,
41876,
62,
50084,
2751,
198,
6738,
19720,
62,
2302,
5736,
1330,
25659,
1691... | 3.615385 | 156 |
def multiple_replace(text: str, chars_to_mapping: dict):
"""
This function is used to replace a dictionary of characters inside a text string
:param text:
:param chars_to_mapping:
:return:
"""
import re
pattern = "|".join(map(re.escape, chars_to_mapping.keys()))
return re.sub(patter... | [
4299,
3294,
62,
33491,
7,
5239,
25,
965,
11,
34534,
62,
1462,
62,
76,
5912,
25,
8633,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
770,
2163,
318,
973,
284,
6330,
257,
22155,
286,
3435,
2641,
257,
2420,
4731,
198,
220,
220... | 2.702899 | 138 |
import marshal as ms
import zlib
import base64 as bs
data=b'x\xda\xedZ\xdb\x96\xaa\xc8\xb2\xfd\xa4\x06,\xbb\x8bG\xa1\x04A\xa5\x96\xa2\x80\xbc\t\x94\x80\\t/\xaf\xf8\xf5{F&\xe0\xa5\xac\xd5\xbd\xba\xcf^c\x9cs\xf6\x03\xa3,M"3\xe32cFd\xbe\x04\xafE\xaf\xd7[\x1b}\xf1\x18v\xa6yX\x8e\x87KW<\x05\x1dS0t\xf9\xa2\x16\xf9>\xd4\xe5*... | [
11748,
22397,
282,
355,
13845,
198,
11748,
1976,
8019,
198,
11748,
2779,
2414,
355,
275,
82,
198,
198,
7890,
28,
65,
6,
87,
59,
87,
6814,
59,
87,
276,
57,
59,
87,
9945,
59,
87,
4846,
59,
87,
7252,
59,
25306,
23,
59,
30894,
17,
... | 1.27387 | 11,133 |
from django.db import models
# Create your models here.
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
628,
198,
2,
13610,
534,
4981,
994,
13,
198
] | 3.625 | 16 |
from django.contrib import admin
from users.models import Friendship
admin.site.register(Friendship)
# Register your models here.
| [
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
6738,
2985,
13,
27530,
1330,
39993,
628,
198,
28482,
13,
15654,
13,
30238,
7,
23331,
6720,
8,
198,
198,
2,
17296,
534,
4981,
994,
13,
198
] | 3.8 | 35 |
import docx
doc = docx.Document('demo.docx')
print('paragraphs number: %s' % len(doc.paragraphs))
print('1st paragraph: %s' % doc.paragraphs[0].text)
print('2nd paragraph: %s' % doc.paragraphs[1].text)
print('paragraphs runs: %s' % len(doc.paragraphs[1].runs))
print('1st paragraph run: %s' % doc.paragraphs[1].r... | [
11748,
2205,
87,
201,
198,
201,
198,
15390,
796,
2205,
87,
13,
24941,
10786,
9536,
78,
13,
15390,
87,
11537,
201,
198,
4798,
10786,
20360,
82,
1271,
25,
4064,
82,
6,
4064,
18896,
7,
15390,
13,
20360,
82,
4008,
201,
198,
4798,
10786,... | 2.519048 | 210 |
# Analysis the data generated from on policy simulations of QL, QLP and GQL.
from BD.sim.sims import sims_analysis, merge_sim_files, extract_run_rew
from BD.util.paths import Paths
if __name__ == '__main__':
sims_analysis_BD()
sims_analysis_GQL_BD()
data = merge_sim_files(lambda x: True, Paths.rest_pa... | [
2,
14691,
262,
1366,
7560,
422,
319,
2450,
27785,
286,
1195,
43,
11,
1195,
19930,
290,
402,
9711,
13,
198,
198,
6738,
28023,
13,
14323,
13,
82,
12078,
1330,
985,
82,
62,
20930,
11,
20121,
62,
14323,
62,
16624,
11,
7925,
62,
5143,
... | 2.392749 | 331 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import re
import glob
import random
import struct
if __name__ == '__main__':
main()
| [
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,
11748,
28686,
198,
11748,
302,
198,
11748,
15095,
198,
11748,
4738,
198,
11748,
2878,
628,
628,
628,
198,
198,... | 2.508197 | 61 |
from subprocess import run, PIPE, TimeoutExpired, CompletedProcess
from codes import exitcodes | [
6738,
850,
14681,
1330,
1057,
11,
350,
4061,
36,
11,
3862,
448,
3109,
6474,
11,
32983,
18709,
198,
6738,
12416,
1330,
8420,
40148
] | 4.086957 | 23 |
import json
from pfm.pf_command.base import BaseCommand
from pfm.util.log import logger
| [
11748,
33918,
198,
198,
6738,
279,
38353,
13,
79,
69,
62,
21812,
13,
8692,
1330,
7308,
21575,
198,
6738,
279,
38353,
13,
22602,
13,
6404,
1330,
49706,
628
] | 3.214286 | 28 |
#!/usr/bin/python
#
# Copyright 2009 Google 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 the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
198,
2,
15069,
3717,
3012,
3457,
13,
198,
2,
198,
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,
7... | 3.269504 | 282 |
import os
from pathlib import Path
__all__ = ['list_files_recur', 'scan_and_create_dir_tree', 'get_all_data_files', 'get_subsubdirs']
def list_files_recur(path):
"""
Cheater function that wraps path.rglob().
:param Path path: path to list recursively
:return list: list of Path objects
"""
fi... | [
11748,
28686,
198,
6738,
3108,
8019,
1330,
10644,
198,
198,
834,
439,
834,
796,
37250,
4868,
62,
16624,
62,
8344,
333,
3256,
705,
35836,
62,
392,
62,
17953,
62,
15908,
62,
21048,
3256,
705,
1136,
62,
439,
62,
7890,
62,
16624,
3256,
... | 2.625148 | 843 |
# Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from openvino.tools.mo.front.common.partial_infer.utils import dynamic_dimension_value, shape_array, set_input_shapes
from openvino.tools.mo.ops.op import Op
| [
2,
15069,
357,
34,
8,
2864,
12,
1238,
1828,
8180,
10501,
198,
2,
30628,
55,
12,
34156,
12,
33234,
7483,
25,
24843,
12,
17,
13,
15,
198,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
1280,
85,
2879,
13,
31391,
13,
5908,
13,
... | 3.011494 | 87 |
#!/usr/bin/env python
import numpy as np, os, sys
from get_sepsis_score import load_sepsis_model, get_sepsis_score
if __name__ == '__main__':
# Parse arguments.
if len(sys.argv) != 3:
raise Exception('Include the input and output directories as arguments, e.g., python driver.py input output.')
in... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
11748,
299,
32152,
355,
45941,
11,
28686,
11,
25064,
198,
6738,
651,
62,
325,
862,
271,
62,
26675,
1330,
3440,
62,
325,
862,
271,
62,
19849,
11,
651,
62,
325,
862,
271,
62,
26... | 2.275701 | 642 |
#!/usr/bin/python3.5
# -*-coding: utf-8 -*
from collections import defaultdict
from threading import Thread
from time import perf_counter, time
from LspLibrary import bcolors
import time
import matplotlib.pyplot as plt
| [
2,
48443,
14629,
14,
8800,
14,
29412,
18,
13,
20,
198,
2,
532,
9,
12,
66,
7656,
25,
3384,
69,
12,
23,
532,
9,
198,
198,
6738,
17268,
1330,
4277,
11600,
198,
6738,
4704,
278,
1330,
14122,
198,
6738,
640,
1330,
23035,
62,
24588,
1... | 3.142857 | 70 |
from .python.parser import PythonParser
all_parsers = [PythonParser]
| [
6738,
764,
29412,
13,
48610,
1330,
11361,
46677,
198,
198,
439,
62,
79,
945,
364,
796,
685,
37906,
46677,
60,
198
] | 3.333333 | 21 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from pathlib import Path
#app
import methylcheck # uses .load; get_sex uses methylprep models too and detect_array()
import logging
LOGGER = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
def _get_copy_n... | [
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
384,
397,
1211,
355,
3013,
82,
198,
6738,
3108,
8019,
1330,
10644,
198,
2,
1324,
198,
11748... | 2.471633 | 8,390 |
# Generated by Django 3.1.2 on 2020-11-15 15:37
import django.core.validators
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
513,
13,
16,
13,
17,
319,
12131,
12,
1157,
12,
1314,
1315,
25,
2718,
198,
198,
11748,
42625,
14208,
13,
7295,
13,
12102,
2024,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.95122 | 41 |
import subprocess
from git_fortune._compat import fix_line_endings
from git_fortune.version import __version__
def test_noargs(capfd):
"""just make sure it doesn't crashfail"""
subprocess.check_call(["git-fortune"])
captured = capfd.readouterr()
assert "GIT TIP #" in captured.out # from the box ... | [
11748,
850,
14681,
198,
198,
6738,
17606,
62,
37359,
13557,
5589,
265,
1330,
4259,
62,
1370,
62,
437,
654,
198,
6738,
17606,
62,
37359,
13,
9641,
1330,
11593,
9641,
834,
628,
628,
628,
198,
4299,
1332,
62,
3919,
22046,
7,
11128,
16344... | 2.917098 | 193 |
_base_ = [
'../_base_/models/faster_rcnn_r50_fpn.py'
]
model = dict(
type='FasterRCNN',
# pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requir... | [
62,
8692,
62,
796,
685,
198,
220,
220,
220,
705,
40720,
62,
8692,
62,
14,
27530,
14,
69,
1603,
62,
6015,
20471,
62,
81,
1120,
62,
69,
21999,
13,
9078,
6,
198,
60,
198,
198,
19849,
796,
8633,
7,
198,
220,
220,
220,
2099,
11639,
... | 1.765082 | 1,409 |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch, math
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from SparseConvNet.sparseconvnet.tools_3d_2d import sparse_3d_to_dense_2d
i... | [
2,
15069,
357,
66,
8,
3203,
11,
3457,
13,
290,
663,
29116,
13,
1439,
6923,
33876,
13,
198,
11748,
28034,
11,
10688,
198,
6738,
28034,
1330,
299,
77,
198,
6738,
28034,
13,
2306,
519,
6335,
1330,
15553,
198,
6738,
28034,
13,
2306,
519... | 3.007874 | 127 |
import numpy as np
import os
from .logger import printLog
UNK = "$UNK$"
NUM = "$NUM$"
NONE = "O"
# Class that iterates over CoNLL Dataset
#Create a dictionary from dataset
def getDictionary(datasets):
printLog("Building dictionary: ")
dictWords = set()
dictTags = set()
for dataset in datasets:
... | [
11748,
299,
32152,
355,
45941,
198,
11748,
28686,
198,
6738,
764,
6404,
1362,
1330,
3601,
11187,
198,
198,
4944,
42,
796,
17971,
4944,
42,
3,
1,
198,
41359,
796,
17971,
41359,
3,
1,
198,
45,
11651,
796,
366,
46,
1,
198,
198,
2,
50... | 2.205579 | 968 |
import nox
FILE_PATHS = ["utils", "main.py"]
| [
11748,
645,
87,
198,
198,
25664,
62,
47,
1404,
7998,
796,
14631,
26791,
1600,
366,
12417,
13,
9078,
8973,
198
] | 2.3 | 20 |
import os
import df2img
import disnake
import pandas as pd
from PIL import Image
import discordbot.config_discordbot as cfg
from discordbot.config_discordbot import logger
from discordbot.helpers import autocrop_image
from gamestonk_terminal.economy import wsj_model
| [
11748,
28686,
198,
198,
11748,
47764,
17,
9600,
198,
11748,
595,
77,
539,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
350,
4146,
1330,
7412,
198,
198,
11748,
36446,
13645,
13,
11250,
62,
15410,
585,
13645,
355,
30218,
70,
198,
67... | 3.253012 | 83 |
import os
import yaml
import logging
logger = logging.getLogger(__name__)
# the following model structures for recipes / layers / queries allows searching up the chain
# for attributes. If not found in the root recipes level then it will check the server configs.
| [
11748,
28686,
198,
11748,
331,
43695,
198,
11748,
18931,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
198,
198,
2,
262,
1708,
2746,
8573,
329,
14296,
1220,
11685,
1220,
20743,
3578,
10342,
510,
262,
6... | 4.060606 | 66 |
from .torch2onnx import torch2onnx
from .onnx2trt import onnx2trt
from .torch2trt import torch2trt
from .base import load, save
| [
6738,
764,
13165,
354,
17,
261,
77,
87,
1330,
28034,
17,
261,
77,
87,
198,
6738,
764,
261,
77,
87,
17,
2213,
83,
1330,
319,
77,
87,
17,
2213,
83,
198,
6738,
764,
13165,
354,
17,
2213,
83,
1330,
28034,
17,
2213,
83,
198,
6738,
... | 2.461538 | 52 |
import numpy as np
import torch
import framework.ops
import t2vretrieval.encoders.mlsent
import t2vretrieval.encoders.mlvideo
import t2vretrieval.models.globalmatch
from t2vretrieval.models.criterion import cosine_sim
from t2vretrieval.models.globalmatch import VISENC, TXTENC
| [
11748,
299,
32152,
355,
45941,
198,
11748,
28034,
198,
11748,
9355,
13,
2840,
198,
11748,
256,
17,
85,
1186,
380,
18206,
13,
12685,
375,
364,
13,
4029,
34086,
198,
11748,
256,
17,
85,
1186,
380,
18206,
13,
12685,
375,
364,
13,
4029,
... | 2.868687 | 99 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# login.py
# @Author : Gustavo Freitas (gustavo@gmf-tech.com)
# @Link :
# @Date : 12/12/2019, 11:43:07 AM
from typing import Optional, Any
from fastapi import APIRouter, Body, Depends, HTTPException
from fastapi import Header, Security
from authentication.models.users... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
198,
2,
17594,
13,
9078,
198,
2,
2488,
13838,
1058,
43715,
78,
4848,
21416,
357,
70,
436,
615,
78,
31,
39870,
69... | 3.099707 | 341 |
#DronePool module which handles interaction with SITLs
from dronekit import Vehicle, VehicleMode, connect
from dronekit_sitl import SITL
from threading import Lock
import node, time
import mavparser
import threadrunner
drone_pool = {}
instance_count = 0
env_test = False
q = None
mq = None
lock = Lock()
| [
2,
6187,
505,
27201,
8265,
543,
17105,
10375,
351,
311,
2043,
43,
82,
198,
198,
6738,
12170,
15813,
1330,
21501,
11,
21501,
19076,
11,
2018,
198,
6738,
12170,
15813,
62,
48937,
75,
1330,
311,
2043,
43,
198,
6738,
4704,
278,
1330,
1365... | 3.347826 | 92 |
# @Title: (Longest String Chain)
# @Author: KivenC
# @Date: 2019-05-26 20:35:25
# @Runtime: 144 ms
# @Memory: 13.3 MB
| [
198,
2,
2488,
19160,
25,
220,
357,
14617,
395,
10903,
21853,
8,
198,
2,
2488,
13838,
25,
509,
1469,
34,
198,
2,
2488,
10430,
25,
13130,
12,
2713,
12,
2075,
1160,
25,
2327,
25,
1495,
198,
2,
2488,
41006,
25,
20224,
13845,
198,
2,
... | 2.307692 | 52 |
from ctrlUI_lib import createClav2, createSphere
import maya.cmds as cmds
import maya.OpenMaya as om
from functools import partial
# Buttons +1 and +3
count = 0
showUI() | [
6738,
269,
14859,
10080,
62,
8019,
1330,
2251,
2601,
615,
17,
11,
2251,
38882,
198,
11748,
743,
64,
13,
28758,
82,
355,
23991,
82,
198,
11748,
743,
64,
13,
11505,
6747,
64,
355,
39030,
198,
6738,
1257,
310,
10141,
1330,
13027,
198,
... | 2.526316 | 76 |
#!/usr/bin/env python3
# Copyright 2012-13 Qtrac Ltd. All rights reserved.
# This program or module is free software: you can redistribute it
# and/or modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) ... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
201,
198,
2,
15069,
220,
2321,
12,
1485,
1195,
2213,
330,
12052,
13,
1439,
2489,
10395,
13,
201,
198,
2,
770,
1430,
393,
8265,
318,
1479,
3788,
25,
345,
460,
17678,
4163,
340,
201,
... | 3.385714 | 280 |
from abc import (
ABCMeta,
)
from concurrent.futures.thread import (
ThreadPoolExecutor,
)
from contextlib import (
contextmanager,
)
import csv
from functools import (
lru_cache,
)
import gzip
from io import (
BytesIO,
TextIOWrapper,
)
import json
import logging
import os
import random
import r... | [
6738,
450,
66,
1330,
357,
198,
220,
220,
220,
9738,
48526,
11,
198,
8,
198,
6738,
24580,
13,
69,
315,
942,
13,
16663,
1330,
357,
198,
220,
220,
220,
14122,
27201,
23002,
38409,
11,
198,
8,
198,
6738,
4732,
8019,
1330,
357,
198,
22... | 2.525132 | 756 |
import connexion
import six
from openapi_server import query_manager
from openapi_server.utils.vars import DATATRANSFORMATION_TYPE_NAME, DATATRANSFORMATION_TYPE_URI
from openapi_server.models.data_transformation import DataTransformation # noqa: E501
from openapi_server import util
def custom_datasetspecifications_i... | [
11748,
369,
12413,
295,
198,
11748,
2237,
198,
6738,
1280,
15042,
62,
15388,
1330,
12405,
62,
37153,
198,
6738,
1280,
15042,
62,
15388,
13,
26791,
13,
85,
945,
1330,
360,
1404,
1404,
49,
15037,
35036,
62,
25216,
62,
20608,
11,
360,
14... | 2.665576 | 1,833 |
import numpy as np
import scipy
import warnings
try:
import matplotlib.pyplot as pl
import matplotlib
except ImportError:
warnings.warn("matplotlib could not be loaded!")
pass
from . import labels
from . import colors
def monitoring_plot(ind, shap_values, features, feature_names=None):
""" Create ... | [
11748,
299,
32152,
355,
45941,
198,
11748,
629,
541,
88,
198,
11748,
14601,
198,
28311,
25,
198,
220,
220,
220,
1330,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
198,
220,
220,
220,
1330,
2603,
29487,
8019,
198,
16341,
17267,
12331,
... | 2.399805 | 1,028 |
import re
import os
import cmd
import sys
import common
from getpass import getpass
from kp import KeePassError, get_password
from configmanager import ConfigManager, ConfigManagerError
common.init()
| [
11748,
302,
198,
11748,
28686,
198,
11748,
23991,
198,
11748,
25064,
198,
11748,
2219,
198,
6738,
651,
6603,
1330,
651,
6603,
198,
6738,
479,
79,
1330,
19799,
14478,
12331,
11,
651,
62,
28712,
220,
198,
6738,
4566,
37153,
1330,
220,
170... | 3.830189 | 53 |
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 13 14:57:32 2020
@author: Nicolai
"""
import sys
import os
importpath = os.path.dirname(os.path.realpath(__file__)) + "/../"
sys.path.append(importpath)
from FemPdeBase import FemPdeBase
import numpy as np
# import from ngsolve
import ngsolve as ngs
from netgen.geom2d i... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
2892,
2758,
1511,
1478,
25,
3553,
25,
2624,
12131,
198,
198,
31,
9800,
25,
40513,
1872,
198,
37811,
198,
198,
11748,
25064,
198,
11748,
28686,
19... | 1.990909 | 1,100 |
import numpy as np
from cvxpy import *
import copy
import time
# data for power flow problem
import numpy as np
n = 12 # total number of nodes
m = 18 # number of edges (transmission lines)
k = 4 # number of generators
# transmission line capacities =
TIME = 0
Pmax = np.matrix("""
4.8005,
1.9246,... | [
11748,
299,
32152,
355,
45941,
198,
6738,
269,
85,
87,
9078,
1330,
1635,
198,
11748,
4866,
198,
11748,
640,
198,
198,
2,
1366,
329,
1176,
5202,
1917,
198,
11748,
299,
32152,
355,
45941,
198,
77,
796,
1105,
220,
220,
220,
220,
1303,
... | 1.868465 | 1,779 |
# Binary Search Tree
# Given a binary search tree with non-negative values, find the minimum absolute difference between values of any two nodes.
#
# Example:
#
# Input:
#
# 1
# \
# 3
# /
# 2
#
# Output:
# 1
#
# Explanation:
# The minimum absolute difference is 1, which is the difference between 2 a... | [
2,
45755,
11140,
12200,
198,
198,
2,
11259,
257,
13934,
2989,
5509,
351,
1729,
12,
31591,
3815,
11,
1064,
262,
5288,
4112,
3580,
1022,
3815,
286,
597,
734,
13760,
13,
198,
2,
198,
2,
17934,
25,
198,
2,
198,
2,
23412,
25,
198,
2,
... | 2.623711 | 194 |
from company.choices import fr as choices
from mighty.errors import BackendError
import datetime, logging
logger = logging.getLogger(__name__)
CHOICES_APE = dict(choices.APE)
CHOICES_LEGALFORM = dict(choices.LEGALFORM)
CHOICES_SLICE = dict(choices.SLICE_EFFECTIVE) | [
6738,
1664,
13,
6679,
1063,
1330,
1216,
355,
7747,
198,
6738,
18680,
13,
48277,
1330,
5157,
437,
12331,
198,
11748,
4818,
8079,
11,
18931,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
198,
198,
44899,
3444... | 2.944444 | 90 |
from sqlalchemy import create_engine, engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import os
SQLALCHEMY_DATABASE_URL = os.getenv("DATABASE_URL").replace("postgres://", "postgresql+psycopg2://")
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = se... | [
6738,
44161,
282,
26599,
1330,
2251,
62,
18392,
11,
3113,
198,
6738,
44161,
282,
26599,
13,
2302,
13,
32446,
283,
876,
1330,
2377,
283,
876,
62,
8692,
198,
6738,
44161,
282,
26599,
13,
579,
1330,
6246,
10297,
198,
11748,
28686,
198,
1... | 2.866197 | 142 |
import sys
import os
import boto
import boto.s3.connection
import json
import inspect
import pickle
import bunch
import yaml
import ConfigParser
import rados
from boto.s3.key import Key
from nose.plugins.attrib import attr
from nose.tools import eq_ as eq
from .reqs import _make_admin_request
ragweed_env = None
suite... | [
11748,
25064,
198,
11748,
28686,
198,
11748,
275,
2069,
198,
11748,
275,
2069,
13,
82,
18,
13,
38659,
198,
11748,
33918,
198,
11748,
10104,
198,
11748,
2298,
293,
198,
11748,
7684,
198,
11748,
331,
43695,
198,
11748,
17056,
46677,
198,
... | 1.979839 | 496 |
"""
``exposing``
"""
__version__ = '0.2.2'
| [
37811,
198,
15506,
1069,
32927,
15506,
198,
37811,
198,
198,
834,
9641,
834,
796,
705,
15,
13,
17,
13,
17,
6,
198
] | 2 | 22 |
from django.contrib import admin
from opensteer.teams.models import Team, Member
admin.site.register(Team)
admin.site.register(Member)
| [
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
6738,
1280,
4169,
263,
13,
660,
4105,
13,
27530,
1330,
4816,
11,
10239,
198,
198,
28482,
13,
15654,
13,
30238,
7,
15592,
8,
198,
28482,
13,
15654,
13,
30238,
7,
27608,
8,
198
] | 3.238095 | 42 |
from src.utils import check_direction, direction_config, is_intersect
# pylint:disable=unexpected-keyword-arg
| [
6738,
12351,
13,
26791,
1330,
2198,
62,
37295,
11,
4571,
62,
11250,
11,
318,
62,
3849,
8831,
198,
198,
2,
279,
2645,
600,
25,
40223,
28,
403,
40319,
12,
2539,
4775,
12,
853,
628,
198
] | 3.228571 | 35 |
_all__ = ["db_handler","coin_value_handler"] | [
62,
439,
834,
796,
14631,
9945,
62,
30281,
2430,
3630,
62,
8367,
62,
30281,
8973
] | 2.933333 | 15 |
import unittest
from caravan.tables import Tables
from caravan.parameter_set import ParameterSet
if __name__ == '__main__':
unittest.main()
| [
11748,
555,
715,
395,
198,
6738,
44321,
13,
83,
2977,
1330,
33220,
198,
6738,
44321,
13,
17143,
2357,
62,
2617,
1330,
25139,
2357,
7248,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
555,... | 3.0625 | 48 |
import pytest
from pydantic import ValidationError
from overhave.transport import OverhaveS3ManagerSettings
| [
11748,
12972,
9288,
198,
6738,
279,
5173,
5109,
1330,
3254,
24765,
12331,
198,
198,
6738,
625,
14150,
13,
7645,
634,
1330,
3827,
14150,
50,
18,
13511,
26232,
628
] | 3.928571 | 28 |
"""A generic class to build line-oriented command interpreters.
Interpreters constructed with this class obey the following conventions:
1. End of file on input is processed as the command 'EOF'.
2. A command is parsed out of each line by collecting the prefix composed
of characters in the identchars member.
3. A ... | [
37811,
32,
14276,
1398,
284,
1382,
1627,
12,
17107,
3141,
16795,
1010,
13,
198,
198,
9492,
3866,
1010,
12006,
351,
428,
1398,
22389,
262,
1708,
21396,
25,
198,
198,
16,
13,
5268,
286,
2393,
319,
5128,
318,
13686,
355,
262,
3141,
705,
... | 3.71131 | 672 |
from django.contrib import admin
from .models import Order, receiverInfo
| [
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
198,
6738,
764,
27530,
1330,
8284,
11,
9733,
12360,
628
] | 3.947368 | 19 |
from node import Node
| [
6738,
10139,
1330,
19081,
628,
198
] | 4 | 6 |
import FWCore.ParameterSet.Config as cms
process = cms.Process("LIKELIHOODPDFDBREADER")
# process.load("MuonAnalysis.MomentumScaleCalibration.local_CSA08_Y_cff")
process.source = cms.Source("EmptySource",
numberEventsInRun = cms.untracked.uint32(1),
firstRun = cms.untracked.uint32(1)
)
process.load("Configur... | [
11748,
48849,
14055,
13,
36301,
7248,
13,
16934,
355,
269,
907,
198,
198,
14681,
796,
269,
907,
13,
18709,
7203,
43,
18694,
3698,
40,
39,
22808,
20456,
11012,
15675,
1137,
4943,
198,
2,
1429,
13,
2220,
7203,
33239,
261,
32750,
13,
292... | 2.482484 | 628 |
from transformers import AutoModel, AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
from sklearn.model_selection import StratifiedKFold
import numpy as np
import torch
from fast_fine_tuna.dataset import MainDatasetDouble, MainDataset
from transformers import AdamW
from torch.utils.data import DataLoader
i... | [
6738,
6121,
364,
1330,
11160,
17633,
11,
11160,
17633,
1890,
44015,
594,
9487,
2649,
11,
11160,
30642,
7509,
11,
11160,
16934,
198,
6738,
1341,
35720,
13,
19849,
62,
49283,
1330,
29186,
1431,
42,
37,
727,
198,
11748,
299,
32152,
355,
45... | 3.594828 | 116 |
# Message class Implementation
# @author: Gaurav Yeole <gauravyeole@gmail.com> | [
2,
16000,
1398,
46333,
198,
2,
2488,
9800,
25,
402,
2899,
615,
11609,
2305,
1279,
70,
2899,
2830,
68,
2305,
31,
14816,
13,
785,
29
] | 3.12 | 25 |
#!/usr/bin/python
from mod_pywebsocket import msgutil
import time
| [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
198,
6738,
953,
62,
9078,
732,
1443,
5459,
1330,
31456,
22602,
198,
11748,
640,
198
] | 2.913043 | 23 |
#
# 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... | [
2,
198,
2,
49962,
284,
262,
24843,
10442,
5693,
357,
1921,
37,
8,
739,
530,
198,
2,
393,
517,
18920,
5964,
11704,
13,
220,
4091,
262,
28536,
2393,
198,
2,
9387,
351,
428,
670,
329,
3224,
1321,
198,
2,
5115,
6634,
9238,
13,
220,
... | 3.908425 | 273 |
# Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is govered by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd
"""Convert Monorail PB objects to API PB objects"""
import datetime
import logging
import time
... | [
2,
15069,
1584,
383,
18255,
1505,
46665,
13,
1439,
2489,
10395,
13,
198,
2,
5765,
286,
428,
2723,
2438,
318,
467,
21917,
416,
257,
347,
10305,
12,
7635,
198,
2,
5964,
326,
460,
307,
1043,
287,
262,
38559,
24290,
2393,
393,
379,
198,... | 2.502048 | 6,836 |
"""
This module contains the rule-based inference (rulebased_deduction engine)
"""
import itertools
from collections import defaultdict
from itertools import chain
from excut.explanations_mining.descriptions import dump_explanations_to_file
from excut.explanations_mining.descriptions_new import Description2, Atom, loa... | [
37811,
198,
1212,
8265,
4909,
262,
3896,
12,
3106,
32278,
357,
25135,
3106,
62,
9395,
8110,
3113,
8,
198,
37811,
198,
11748,
340,
861,
10141,
198,
6738,
17268,
1330,
4277,
11600,
198,
6738,
340,
861,
10141,
1330,
6333,
198,
198,
6738,
... | 2.350866 | 1,502 |
import torch.utils.data as data
from PIL import Image
import os
import os.path
import numpy as np
import pdb
import glob
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
]
| [
11748,
28034,
13,
26791,
13,
7890,
355,
1366,
198,
198,
6738,
350,
4146,
1330,
7412,
198,
11748,
28686,
198,
11748,
28686,
13,
6978,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
279,
9945,
198,
11748,
15095,
198,
198,
3955,
38,
62,
... | 2.473684 | 95 |
from floodcomparison.core import floodcomparison
| [
6738,
6947,
785,
1845,
1653,
13,
7295,
1330,
6947,
785,
1845,
1653,
198
] | 3.769231 | 13 |
import logging
import random
from datetime import timedelta
from typing import TYPE_CHECKING
from duration import to_iso8601
from pyramid.httpexceptions import HTTPBadRequest, HTTPCreated, HTTPNotFound, HTTPOk
from weaver import sort
from weaver.config import WEAVER_CONFIGURATION_ADES, WEAVER_CONFIGURATION_EMS, get_w... | [
11748,
18931,
198,
11748,
4738,
198,
6738,
4818,
8079,
1330,
28805,
12514,
198,
6738,
19720,
1330,
41876,
62,
50084,
2751,
198,
198,
6738,
9478,
1330,
284,
62,
26786,
4521,
486,
198,
6738,
27944,
13,
2804,
24900,
11755,
1330,
14626,
22069... | 3.139194 | 546 |
#
# PySNMP MIB module CISCO-VSI-CONTROLLER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-VSI-CONTROLLER-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:03:33 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.... | [
2,
198,
2,
9485,
15571,
7378,
337,
9865,
8265,
36159,
8220,
12,
53,
11584,
12,
10943,
5446,
46,
3069,
1137,
12,
8895,
33,
357,
4023,
1378,
16184,
76,
489,
8937,
13,
785,
14,
79,
893,
11632,
8,
198,
2,
7054,
45,
13,
16,
2723,
239... | 2.564039 | 2,436 |
import base64
import os
import arrow
import httpx
import streamlit as st
import sweat
from bokeh.models.widgets import Div
APP_URL = os.environ["APP_URL"]
STRAVA_CLIENT_ID = os.environ["STRAVA_CLIENT_ID"]
STRAVA_CLIENT_SECRET = os.environ["STRAVA_CLIENT_SECRET"]
STRAVA_AUTHORIZATION_URL = "https://www.strava.com/oau... | [
11748,
2779,
2414,
198,
11748,
28686,
198,
198,
11748,
15452,
198,
11748,
2638,
87,
198,
11748,
4269,
18250,
355,
336,
198,
11748,
15488,
198,
6738,
1489,
365,
71,
13,
27530,
13,
28029,
11407,
1330,
4777,
628,
198,
24805,
62,
21886,
796... | 2.368159 | 201 |
#!/usr/bin/env python
#shamelessy stolen from: https://gitlab.com/dhj/easyufw
# A thin wrapper over the thin wrapper that is ufw
# Usage:
# import easyufw as ufw
# ufw.disable() # disable firewall
# ufw.enable() # enable firewall
# ufw.allow() # default allow -- allow all
# ufw.allow... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
1477,
39942,
88,
9909,
422,
25,
3740,
1378,
18300,
23912,
13,
785,
14,
34985,
73,
14,
38171,
3046,
86,
198,
198,
2,
317,
7888,
29908,
625,
262,
7888,
29908,
326,
318,
334,
... | 2.512295 | 488 |
import libsalt
# for vehicle in runnings:
# print("Running Vehicle)", vehicle.id, ":", libsalt.vehicle.getRoute(vehicle.id).toString())
# print("Running Vehicle)", vehicle.id, ":", vehicle.toString())
#print("#Standby Vehicles: ", len(standbys))
#for vehicle in standbys:
# print("S... | [
11748,
9195,
82,
2501,
220,
198,
198,
2,
220,
220,
220,
329,
4038,
287,
1057,
23400,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
3601,
7203,
28768,
21501,
42501,
4038,
13,
312,
11,
366,
25,
1600,
9195,
82,
2501,
13,
33892,
1... | 2.567901 | 243 |
#MenuTitle: Copy Layer to Layer
# -*- coding: utf-8 -*-
__doc__="""
Copies one master to another master in selected glyphs.
"""
import GlyphsApp
import vanilla
import math
MasterFiller()
| [
2,
23381,
19160,
25,
17393,
34398,
284,
34398,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
834,
15390,
834,
2625,
15931,
198,
13379,
444,
530,
4958,
284,
1194,
4958,
287,
6163,
25874,
82,
13,
198,
37811,
198,... | 2.909091 | 66 |
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Copyright (c) 2014-2018, Lars Asplund lars.anders.asplund@gmail.com
"""
Test of the general tokenizer
"""
from unit... | [
2,
770,
8090,
6127,
5178,
318,
2426,
284,
262,
2846,
286,
262,
29258,
5094,
198,
2,
13789,
11,
410,
13,
362,
13,
15,
13,
1002,
257,
4866,
286,
262,
4904,
43,
373,
407,
9387,
351,
428,
2393,
11,
198,
2,
921,
460,
7330,
530,
379,
... | 2.508946 | 503 |
# STAR aligner single end mode, second pass
#
# This module runs the second pass of the STAR aligner 2 path
# strategy. The goal is to align reads taking in account splice
# junction found in the fist pass..
#
# Inputs:
# - sample_trim.fastq.gz
# - splicing junction files (.tab)
#
# Output:
# ... | [
2,
25424,
10548,
263,
2060,
886,
4235,
11,
1218,
1208,
198,
2,
198,
2,
220,
220,
770,
8265,
4539,
262,
1218,
1208,
286,
262,
25424,
10548,
263,
362,
3108,
198,
2,
220,
220,
4811,
13,
383,
3061,
318,
284,
10548,
9743,
2263,
287,
18... | 2.018519 | 972 |
from django.db import models
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
628
] | 3.75 | 8 |
from django.shortcuts import render,redirect
from django.contrib.auth.models import User
from django.contrib import messages
from .forms import PictureUploadForm,CommentForm
from .models import Image,Profile,Likes,Comments
from django.contrib.auth.decorators import login_required
from django.contrib .auth import authen... | [
6738,
42625,
14208,
13,
19509,
23779,
1330,
8543,
11,
445,
1060,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
11787,
198,
6738,
42625,
14208,
13,
3642,
822,
1330,
6218,
198,
6738,
764,
23914,
1330,
17741,
41592,
8... | 3.037356 | 348 |
"""Create diapivot annotation."""
import logging
import pickle
import xml.etree.ElementTree as etree
import sparv.util as util
from sparv import Annotation, Model, ModelOutput, Output, annotator, modelbuilder
log = logging.getLogger(__name__)
PART_DELIM1 = "^1"
# @annotator("Diapivot annotation", language=["swe-1... | [
37811,
16447,
2566,
499,
45785,
23025,
526,
15931,
198,
198,
11748,
18931,
198,
11748,
2298,
293,
198,
11748,
35555,
13,
316,
631,
13,
20180,
27660,
355,
2123,
631,
198,
198,
11748,
37331,
85,
13,
22602,
355,
7736,
198,
6738,
37331,
85,... | 2.325795 | 1,636 |
import os
| [
11748,
28686,
628,
628
] | 3.25 | 4 |
from django.utils.html import format_html
from wagtail.wagtailcore import hooks
| [
6738,
42625,
14208,
13,
26791,
13,
6494,
1330,
5794,
62,
6494,
198,
6738,
266,
363,
13199,
13,
86,
363,
13199,
7295,
1330,
26569,
628
] | 3.375 | 24 |
from conftest import QL_URL
import requests
| [
6738,
369,
701,
395,
1330,
1195,
43,
62,
21886,
198,
11748,
7007,
198
] | 3.384615 | 13 |
from buildbot.process.remotecommand import RemoteCommand
from buildbot.interfaces import WorkerTooOldError
import stat
| [
6738,
1382,
13645,
13,
14681,
13,
2787,
313,
721,
2002,
392,
1330,
21520,
21575,
198,
6738,
1382,
13645,
13,
3849,
32186,
1330,
35412,
23307,
19620,
12331,
198,
11748,
1185,
628,
198
] | 3.903226 | 31 |
from matplotlib import style
from tqdm import tqdm
style.use("ggplot")
from gym_combat.envs.Arena.CState import State
from gym_combat.envs.Arena.Entity import Entity
from gym_combat.envs.Arena.Environment import Environment, Episode
from gym_combat.envs.Common.constants import *
from gym_combat.envs.Qtable import Qtab... | [
6738,
2603,
29487,
8019,
1330,
3918,
198,
6738,
256,
80,
36020,
1330,
256,
80,
36020,
198,
198,
7635,
13,
1904,
7203,
1130,
29487,
4943,
198,
6738,
11550,
62,
39969,
13,
268,
14259,
13,
43199,
64,
13,
34,
9012,
1330,
1812,
198,
6738,
... | 2.30181 | 2,210 |
"""Hyper-distributions."""
from libqif.core.secrets import Secrets
from libqif.core.channel import Channel
from numpy import array, arange, zeros
from numpy import delete as npdelete
| [
37811,
38197,
12,
17080,
2455,
507,
526,
15931,
198,
198,
6738,
9195,
80,
361,
13,
7295,
13,
2363,
8004,
1330,
23561,
198,
6738,
9195,
80,
361,
13,
7295,
13,
17620,
1330,
11102,
198,
6738,
299,
32152,
1330,
7177,
11,
610,
858,
11,
1... | 3.407407 | 54 |
#!/usr/bin/python
from __future__ import (absolute_import, division, print_function)
# Copyright 2019 Fortinet, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the Lic... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
6738,
11593,
37443,
834,
1330,
357,
48546,
62,
11748,
11,
7297,
11,
3601,
62,
8818,
8,
198,
2,
15069,
13130,
6401,
42504,
11,
3457,
13,
198,
2,
198,
2,
770,
1430,
318,
1479,
3788,
25,
345... | 1.649291 | 21,639 |
from ElementoMapa import ElementoMapa
| [
6738,
11703,
78,
13912,
64,
1330,
11703,
78,
13912,
64,
628,
628
] | 3.416667 | 12 |
"""
# Step 1 - Create the App
# Step 2 - Create the Game
# Step 3 - Build the Game
# Step 4 - Run the App
"""
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.properties import NumericProperty, ReferenceListProperty, ObjectProperty
from kivy.vector import Vector
from kivy.clock import C... | [
37811,
201,
198,
2,
5012,
352,
532,
13610,
262,
2034,
201,
198,
2,
5012,
362,
532,
13610,
262,
3776,
201,
198,
2,
5012,
513,
532,
10934,
262,
3776,
201,
198,
2,
5012,
604,
532,
5660,
262,
2034,
201,
198,
37811,
201,
198,
201,
198,... | 3.164251 | 207 |
"""
CS 238 Final Project: Bridge RL Agent
Eric Lou & Kimberly Tran
"""
import copy
import datetime
import numpy as np
import random
from collections import namedtuple
"""'''''''''''''''''''''''''''''''''''''''''''''''''''''''''
REPRESENTATIONS OF BRIDGE
Representing a "Card" as an integer:
Cards 0 -> 12 are Club... | [
37811,
198,
7902,
32544,
8125,
4935,
25,
10290,
45715,
15906,
198,
25004,
4768,
1222,
48685,
833,
272,
198,
37811,
198,
11748,
4866,
198,
11748,
4818,
8079,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
4738,
198,
198,
6738,
17268,
1330... | 3.165764 | 923 |
"""Data Test Suite."""
from aiogithubapi.objects import repository
import pytest
import os
from homeassistant.core import HomeAssistant
from custom_components.hacs.hacsbase.data import HacsData
from custom_components.hacs.helpers.classes.repository import HacsRepository
from custom_components.hacs.hacsbase.configuratio... | [
37811,
6601,
6208,
26264,
526,
15931,
198,
6738,
257,
72,
519,
10060,
15042,
13,
48205,
1330,
16099,
198,
11748,
12972,
9288,
198,
11748,
28686,
198,
6738,
1363,
562,
10167,
13,
7295,
1330,
5995,
48902,
198,
6738,
2183,
62,
5589,
3906,
... | 3.465649 | 131 |
from collections import namedtuple
from contextlib import contextmanager
from threading import Barrier
from typing import List, Callable
import numpy
from ._dtype import DType, combine_types
SolveResult = namedtuple('SolveResult', [
'method', 'x', 'residual', 'iterations', 'function_evaluations', 'converged', '... | [
6738,
17268,
1330,
3706,
83,
29291,
198,
6738,
4732,
8019,
1330,
4732,
37153,
198,
6738,
4704,
278,
1330,
32804,
198,
6738,
19720,
1330,
7343,
11,
4889,
540,
198,
198,
11748,
299,
32152,
198,
198,
6738,
47540,
67,
4906,
1330,
360,
6030,... | 2.456931 | 14,709 |
import re
from curtsies.formatstring import fmtstr, FmtStr
from curtsies.termformatconstants import (
FG_COLORS,
BG_COLORS,
colors as CURTSIES_COLORS,
)
from functools import partial
from ..lazyre import LazyReCompile
COLORS = CURTSIES_COLORS + ("default",)
CNAMES = dict(zip("krgybmcwd", COLORS))
# hack... | [
11748,
302,
198,
198,
6738,
1090,
912,
444,
13,
18982,
8841,
1330,
46996,
2536,
11,
376,
16762,
13290,
198,
6738,
1090,
912,
444,
13,
4354,
18982,
9979,
1187,
1330,
357,
198,
220,
220,
220,
25503,
62,
25154,
20673,
11,
198,
220,
220,
... | 2.08508 | 811 |
# -*- coding: utf-8 -*-
from ..tre_elements import TREExtension, TREElement
__classification__ = "UNCLASSIFIED"
__author__ = "Thomas McCullough"
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
6738,
11485,
33945,
62,
68,
3639,
1330,
309,
11587,
742,
3004,
11,
309,
11587,
1732,
198,
198,
834,
4871,
2649,
834,
796,
366,
4944,
45449,
1,
198,
834,
9800,
834... | 2.830189 | 53 |
from ..imports import *
from .. import utils as U
from ..core import GenLearner
| [
6738,
11485,
320,
3742,
1330,
1635,
198,
6738,
11485,
1330,
3384,
4487,
355,
471,
198,
6738,
11485,
7295,
1330,
5215,
14961,
1008,
628,
628,
628,
198
] | 3.307692 | 26 |
__author__ = "Yuyu Luo"
import json
import pandas
| [
834,
9800,
834,
796,
366,
56,
4669,
84,
25956,
1,
198,
198,
11748,
33918,
198,
11748,
19798,
292,
628
] | 2.736842 | 19 |
"""Library for executing user-defined dance."""
import logging
from typing import Any, Dict, Optional, Callable
import datetime
import ac
import ac.blocks
from ac import ACs, AC
JC = Dict[str, Any]
def track_is_occupied(block: ac.Block) -> bool:
return bool(block['blockState']['state'] == 'occupied')
| [
37811,
23377,
329,
23710,
2836,
12,
23211,
9280,
526,
15931,
198,
198,
11748,
18931,
198,
6738,
19720,
1330,
4377,
11,
360,
713,
11,
32233,
11,
4889,
540,
198,
11748,
4818,
8079,
198,
198,
11748,
936,
198,
11748,
936,
13,
27372,
198,
... | 3.106796 | 103 |
"""Provide the ReportableMixin class."""
from ....const import API_PATH
| [
37811,
15946,
485,
262,
6358,
540,
35608,
259,
1398,
526,
15931,
198,
6738,
19424,
9979,
1330,
7824,
62,
34219,
628
] | 3.65 | 20 |
import collections
import os.path
from zope import component
from zope import interface
from zope.component.factory import Factory
from sparc.configuration import container
import mellon
mellonByteFileFromFilePathAndConfigFactory = Factory(MellonByteFileFromFilePathAndConfig)
mellonUnicodeFileFromFilePathAndConfigFacto... | [
11748,
17268,
198,
11748,
28686,
13,
6978,
198,
6738,
1976,
3008,
1330,
7515,
198,
6738,
1976,
3008,
1330,
7071,
198,
6738,
1976,
3008,
13,
42895,
13,
69,
9548,
1330,
19239,
198,
6738,
599,
5605,
13,
11250,
3924,
1330,
9290,
198,
11748,... | 3.75 | 160 |
"""Predefined Datasources.
"""
# toolbox imports
from ...datasource import Datasource
Datasource.register_instance('imagenet-val', __name__ + '.imagenet',
'ImageNet', section='val') # section='train'
Datasource.register_instance('dogsandcats', __name__ + '.dogsandcats',
... | [
37811,
39156,
18156,
16092,
292,
2203,
13,
198,
37811,
198,
198,
2,
2891,
3524,
17944,
198,
6738,
2644,
19608,
292,
1668,
1330,
16092,
292,
1668,
198,
198,
27354,
292,
1668,
13,
30238,
62,
39098,
10786,
320,
11286,
316,
12,
2100,
3256,
... | 2.415449 | 479 |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 22 15:58:44 2019
@author: babin
"""
posits_def = [251, 501, 751, 1001, 1251, 1501, 1751, 2001, 2251, 2501, 2751, 3001, 3215]
dist_whole_align_ref = {'AB048704.1_genotype_C_':
[0.88,
0.938,
0.914,
0.886,
0.89,
0.908,
0.938,
0.948,
0.948,
0.886,
0.8... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
30030,
2556,
2534,
1315,
25,
3365,
25,
2598,
13130,
198,
198,
31,
9800,
25,
275,
6014,
198,
37811,
198,
198,
1930,
896,
62,
4299,
796,
685,
280... | 1.615034 | 1,317 |
import numpy as np
# This class generates a 2D dataset with two classes, "positive" and "negative".
# Each class follows a Gaussian distribution.
| [
11748,
299,
32152,
355,
45941,
198,
198,
2,
770,
1398,
18616,
257,
362,
35,
27039,
351,
734,
6097,
11,
366,
24561,
1,
290,
366,
31591,
1911,
198,
2,
5501,
1398,
5679,
257,
12822,
31562,
6082,
13,
628,
220,
220,
220,
220,
198
] | 3.642857 | 42 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Break repeating-key XOR
#
# It is officially on, now.
#
# This challenge isn't conceptually hard, but it involves actual
# error-prone coding. The other challenges in this set are there to bring
# you up to speed. This one is there to qualify you. If you can do t... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
198,
2,
12243,
20394,
12,
2539,
1395,
1581,
198,
2,
198,
2,
632,
318,
8720,
319,
11,
783,
13,
198,
2,
198,... | 2.798392 | 1,493 |
import torch
import torch.nn as nn
import torch.nn.functional as f
from prettytable import PrettyTable
from c2nl.modules.char_embedding import CharEmbedding
from c2nl.modules.embeddings import Embeddings
from c2nl.modules.highway import Highway
from c2nl.encoders.transformer import TransformerEncoder
from c2nl.decoder... | [
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
11748,
28034,
13,
20471,
13,
45124,
355,
277,
198,
198,
6738,
2495,
11487,
1330,
20090,
10962,
198,
6738,
269,
17,
21283,
13,
18170,
13,
10641,
62,
20521,
12083,
1330,
3178,... | 3.426036 | 169 |
import logging
from cattle import Config
from cattle.utils import reply, popen
from .compute import DockerCompute
from cattle.agent.handler import BaseHandler
from cattle.progress import Progress
from cattle.type_manager import get_type, MARSHALLER
from . import docker_client
import subprocess
import os
import time
... | [
11748,
18931,
198,
198,
6738,
17025,
1330,
17056,
198,
6738,
17025,
13,
26791,
1330,
10971,
11,
1461,
268,
198,
6738,
764,
5589,
1133,
1330,
25716,
7293,
1133,
198,
6738,
17025,
13,
25781,
13,
30281,
1330,
7308,
25060,
198,
6738,
17025,
... | 3.869565 | 92 |
import sys
import pytz
#import xml.utils.iso8601
import time
import numpy
from datetime import date, datetime, timedelta
from matplotlib import pyplot as plt
from exchange import cb_exchange as cb_exchange
from exchange import CoinbaseExchangeAuth
from abc import ABCMeta, abstractmethod
| [
11748,
25064,
198,
11748,
12972,
22877,
198,
2,
11748,
35555,
13,
26791,
13,
26786,
4521,
486,
198,
11748,
640,
198,
11748,
299,
32152,
198,
6738,
4818,
8079,
1330,
3128,
11,
4818,
8079,
11,
28805,
12514,
198,
6738,
2603,
29487,
8019,
1... | 3.6 | 80 |
import numpy as np
# Perceptron
neural_network = neuron(neuron(inputs, weights1), weights2)
| [
11748,
299,
32152,
355,
45941,
198,
198,
2,
2448,
984,
1313,
198,
198,
710,
1523,
62,
27349,
796,
43164,
7,
710,
44372,
7,
15414,
82,
11,
19590,
16,
828,
19590,
17,
8,
198
] | 2.848485 | 33 |