content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
BASE_GRAPH_URL = 'https://graph.facebook.com'
BASE_AUTHORIZATION_URL = 'https://www.facebook.com'
GRAPH_VERSION_V2_5 = 'v2.5'
GRAPH_VERSION_V2_6 = 'v2.6'
GRAPH_VERSION_V2_7 = 'v2.7'
GRAPH_VERSION_V2_8 = 'v2.8'
GRAPH_VERSION_V2_9 = 'v2.9'
GRAPH_VERSION_V2_10 = 'v2.10'
GRAPH_VERSION_V2_11 = 'v2.11'
GRAPH_VERSION_V2_12 =... | [
33,
11159,
62,
10761,
31300,
62,
21886,
796,
705,
5450,
1378,
34960,
13,
19024,
13,
785,
6,
198,
33,
11159,
62,
32,
24318,
1581,
14887,
6234,
62,
21886,
796,
705,
5450,
1378,
2503,
13,
19024,
13,
785,
6,
198,
198,
10761,
31300,
62,
... | 1.927798 | 277 |
import warnings
warnings.filterwarnings("ignore")
import os
import json
import easydict
import time
import torch
from misc.dataloader import DataLoader
import torch.optim as optim
import misc.datasets as datasets
import ctrlfnet_model_dtp as ctrlf
from misc.h5_dataset import H5Dataset
from train_opts import parse_args... | [
11748,
14601,
198,
40539,
654,
13,
24455,
40539,
654,
7203,
46430,
4943,
198,
11748,
28686,
198,
11748,
33918,
198,
11748,
2562,
11600,
198,
11748,
640,
198,
11748,
28034,
198,
6738,
12747,
13,
67,
10254,
1170,
263,
1330,
6060,
17401,
198... | 2.198325 | 2,269 |
from __future__ import division
from time import time
import matplotlib
from matplotlib import pyplot as plt
import numpy as np
from ctypes import *
# Linux users: change the filename below to './mandelbrot.so'
mandel_dll = CDLL('./mandelbrot.dll')
mandel_c = mandel_dll.launch_mandelbrot
mandel_c.argtypes = [POINTER(c... | [
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
640,
1330,
640,
198,
11748,
2603,
29487,
8019,
198,
6738,
2603,
29487,
8019,
1330,
12972,
29487,
355,
458,
83,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
269,
19199,
1330,
1635,
198,
1... | 2.437956 | 274 |
import json
import igorCA
import os
import sys
import tempfile
import urllib
DEBUG=False
| [
11748,
33918,
198,
11748,
220,
36274,
8141,
198,
11748,
28686,
198,
11748,
25064,
198,
11748,
20218,
7753,
198,
11748,
2956,
297,
571,
198,
198,
30531,
28,
25101,
628,
220,
220,
220,
220,
198
] | 2.909091 | 33 |
#!/usr/bin/env python3
""" Annotate BLAST output """
import argparse
import pandas as pd
import os
from typing import NamedTuple, TextIO
class Args(NamedTuple):
""" Command-line arguments """
hits: TextIO
annotations: TextIO
outfile: TextIO
delimiter: str
pctid: float
# --------------------... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
37811,
1052,
1662,
378,
9878,
11262,
5072,
37227,
198,
198,
11748,
1822,
29572,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
28686,
198,
6738,
19720,
1330,
34441,
51,
29291,
11,... | 1.885051 | 1,853 |
"""
This file provides a wrapper for the convert objects and functions.
Users will not need to know the names of the specific objects they need to create.
"""
import os
from echopype.convert.azfp import ConvertAZFP
from echopype.convert.ek60 import ConvertEK60
| [
37811,
198,
1212,
2393,
3769,
257,
29908,
329,
262,
10385,
5563,
290,
5499,
13,
198,
14490,
481,
407,
761,
284,
760,
262,
3891,
286,
262,
2176,
5563,
484,
761,
284,
2251,
13,
198,
37811,
198,
11748,
28686,
198,
6738,
304,
354,
404,
... | 3.690141 | 71 |
import pathlib
def does_file_exist(path_to_file: str) -> bool:
"""
Performs a simple exists check on a given file path
"""
path = pathlib.Path(path_to_file)
return path.exists()
| [
11748,
3108,
8019,
628,
198,
4299,
857,
62,
7753,
62,
38476,
7,
6978,
62,
1462,
62,
7753,
25,
965,
8,
4613,
20512,
25,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2448,
23914,
257,
2829,
7160,
2198,
319,
257,
1813,
2393,
3108,
... | 2.631579 | 76 |
import os
from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
token=os.environ['token']
channel=os.environ['channel']
header=os.environ['header']
pre_message=os.environ['pre_message']
message=os.environ['message']
post_message=os.environ['post_message']
actor=os.environ['actor']
release=os.envir... | [
11748,
28686,
198,
6738,
30740,
62,
21282,
74,
1330,
5313,
11792,
198,
6738,
30740,
62,
21282,
74,
13,
48277,
1330,
36256,
32,
14415,
12331,
198,
198,
30001,
28,
418,
13,
268,
2268,
17816,
30001,
20520,
198,
17620,
28,
418,
13,
268,
2... | 1.712086 | 1,299 |
from odoo.tests.common import TransactionCase
| [
6738,
16298,
2238,
13,
41989,
13,
11321,
1330,
45389,
20448,
628
] | 4.272727 | 11 |
# -*- coding: utf-8 -*-
"""## Task-specific heads
Different heads that expect their inputs to be flattened.
"""
from collections import OrderedDict
from typing import List, Optional
import torch.nn as nn
import torch.nn.functional as F
from ophthalmology.layers import activations
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
37811,
2235,
15941,
12,
11423,
6665,
201,
198,
201,
198,
40341,
6665,
326,
1607,
511,
17311,
284,
307,
45096,
13,
201,
198,
37811,
201,
198,
201,
198,
6738,
17268,
... | 3.081633 | 98 |
import argparse
import numpy as np
import os
from Bio.PDB import PDBParser, Selection
parser = PDBParser()
# RADII for atoms in explicit case.
RADII = {}
RADII["N"] = "1.540000"
RADII["O"] = "1.400000"
RADII["C"] = "1.740000"
RADII["H"] = "1.200000"
RADII["S"] = "1.800000"
RADII["P"] = "1.800000"
RADII["Z"] = "1.39"
... | [
11748,
1822,
29572,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28686,
198,
6738,
16024,
13,
5760,
33,
1330,
350,
11012,
46677,
11,
29538,
198,
198,
48610,
796,
350,
11012,
46677,
3419,
198,
198,
2,
33540,
3978,
329,
23235,
287,
795... | 2.053527 | 1,999 |
# Generated by Django 2.0.9 on 2020-07-24 07:52
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
362,
13,
15,
13,
24,
319,
12131,
12,
2998,
12,
1731,
8753,
25,
4309,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
import enum
| [
11748,
33829,
628,
198
] | 3.5 | 4 |
from PyQt5.QtWidgets import QApplication, QMainWindow, QAction, QFileDialog
import sys
from PyQt5.QtGui import QImage, QPainter, QPen
from PyQt5.QtCore import Qt, QPoint
if __name__ == "__main__":
app = QApplication(sys.argv)
window = Window()
window.show()
app.exec() | [
6738,
9485,
48,
83,
20,
13,
48,
83,
54,
312,
11407,
1330,
1195,
23416,
11,
1195,
13383,
27703,
11,
1195,
12502,
11,
1195,
8979,
44204,
198,
11748,
25064,
198,
198,
6738,
9485,
48,
83,
20,
13,
48,
83,
8205,
72,
1330,
1195,
5159,
11... | 2.483051 | 118 |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import itertools
import pytest
import numpy as np
from numpy.testing import assert_almost_equal, assert_allclose
from astropy.convolution.convolve import convolve, convolve_fft
from astropy.convolution.kernels import (
Gaussian1DKernel, Gaussian2DKe... | [
2,
49962,
739,
257,
513,
12,
565,
682,
347,
10305,
3918,
5964,
532,
766,
38559,
24290,
13,
81,
301,
198,
198,
11748,
340,
861,
10141,
198,
198,
11748,
12972,
9288,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
299,
32152,
13,
33407,
... | 2.141821 | 9,103 |
import contextlib
import itertools
import json
import os
import pathlib
import shutil
import sys
import typing
import datasets
import numpy
import ray.tune
import transformers
from . import metric
from . import tok
from . import train
class TailScheduler(ray.tune.schedulers.trial_scheduler.FIFOScheduler):
''' T... | [
198,
11748,
4732,
8019,
198,
11748,
340,
861,
10141,
198,
11748,
33918,
198,
11748,
28686,
198,
11748,
3108,
8019,
198,
11748,
4423,
346,
198,
11748,
25064,
198,
11748,
19720,
198,
198,
11748,
40522,
198,
11748,
299,
32152,
198,
11748,
26... | 1.989401 | 1,887 |
import unittest
import numpy as np
from lib import Kernel
| [
11748,
555,
715,
395,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
9195,
1330,
32169,
628
] | 3.529412 | 17 |
from math import sqrt
# X, and Y variable names against [pylint]: C0104, but is the same as the stub, advise not to change this.
| [
6738,
10688,
1330,
19862,
17034,
198,
198,
2,
1395,
11,
290,
575,
7885,
3891,
1028,
685,
79,
2645,
600,
5974,
327,
486,
3023,
11,
475,
318,
262,
976,
355,
262,
17071,
11,
18595,
407,
284,
1487,
428,
13,
198
] | 3.333333 | 39 |
import torch
from torch import nn
from kme.models.base import FeatureNetBase
class RiskFeatNet1(FeatureNetBase):
"""
Simple network for risk score datasets
"""
class SmallTabFeatNet1(FeatureNetBase):
"""
Simple network for risk score datasets
"""
class SmallTabFeatNet2(FeatureNetBase):
... | [
11748,
28034,
198,
6738,
28034,
1330,
299,
77,
198,
6738,
479,
1326,
13,
27530,
13,
8692,
1330,
27018,
7934,
14881,
628,
198,
4871,
19602,
37,
4098,
7934,
16,
7,
38816,
7934,
14881,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,... | 3.091463 | 164 |
# Imports from 3rd party libraries
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Imports from this application
from app import app
# 2 column layout. 1st column width = 4/12
# https://dash-bootst... | [
2,
1846,
3742,
422,
513,
4372,
2151,
12782,
198,
11748,
14470,
198,
11748,
14470,
62,
18769,
26418,
62,
5589,
3906,
355,
288,
15630,
198,
11748,
14470,
62,
7295,
62,
5589,
3906,
355,
288,
535,
198,
11748,
14470,
62,
6494,
62,
5589,
39... | 1.975089 | 843 |
import logging
import os
import time
import torch
import torch.nn as nn
from utils.meter import AverageMeter
from utils.metrics import R1_mAP_eval
from torch.cuda import amp
import torchvision
import torch.nn.functional as F
import numpy as np
import math
import random
| [
11748,
18931,
198,
11748,
28686,
198,
11748,
640,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
6738,
3384,
4487,
13,
27231,
1330,
13475,
44,
2357,
198,
6738,
3384,
4487,
13,
4164,
10466,
1330,
371,
16,
62,
76,
2... | 3.4125 | 80 |
import threading
from bable_interface.models import Packet
from bable_interface.flatbuffers_functions import build_packet
from bable_interface.BaBLE.Payload import Payload
| [
11748,
4704,
278,
198,
6738,
275,
540,
62,
39994,
13,
27530,
1330,
6400,
316,
198,
6738,
275,
540,
62,
39994,
13,
38568,
36873,
364,
62,
12543,
2733,
1330,
1382,
62,
8002,
316,
198,
6738,
275,
540,
62,
39994,
13,
34458,
19146,
13,
1... | 3.55102 | 49 |
"""
Module containing data augmentation techniques.
- 3D Affine/DDF Transforms for moving and fixed images.
"""
from abc import abstractmethod
from typing import Dict
import tensorflow as tf
from deepreg.model.layer_util import (
gen_rand_affine_transform,
gen_rand_ddf,
get_reference_grid,
resample... | [
37811,
198,
26796,
7268,
1366,
16339,
14374,
7605,
13,
198,
220,
532,
513,
35,
6708,
500,
14,
35,
8068,
3602,
23914,
329,
3867,
290,
5969,
4263,
13,
198,
37811,
198,
198,
6738,
450,
66,
1330,
12531,
24396,
198,
6738,
19720,
1330,
360,... | 2.266875 | 5,126 |
#!/usr/bin/env python
import os
import sys
import rospy
import cv, cv2, cv_bridge
import numpy
from baxter_demos.msg import BlobInfo, BlobInfoArray
from sensor_msgs.msg import Image
import argparse
"""Script to test functionality of object_finder color segmentation
User needs to manually run object_finder and subscri... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
11748,
28686,
198,
11748,
25064,
198,
11748,
686,
2777,
88,
198,
11748,
269,
85,
11,
269,
85,
17,
11,
269,
85,
62,
9458,
198,
11748,
299,
32152,
198,
6738,
275,
40864,
62,
9536,... | 3.141935 | 155 |
from .sites import site
from django.utils.module_loading import autodiscover_modules
from .options import ModelAdmin
from django.contrib.admin import register
__all__ = ["site", 'register', 'autodiscover', 'ModelAdmin']
| [
6738,
764,
49315,
1330,
2524,
198,
6738,
42625,
14208,
13,
26791,
13,
21412,
62,
25138,
1330,
1960,
375,
29392,
62,
18170,
198,
6738,
764,
25811,
1330,
9104,
46787,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
28482,
1330,
7881,
628,
198... | 3.639344 | 61 |
import unittest
import orca
from setup.settings import *
from pandas.util.testing import *
if __name__ == '__main__':
unittest.main()
| [
11748,
555,
715,
395,
198,
11748,
393,
6888,
198,
6738,
9058,
13,
33692,
1330,
1635,
198,
6738,
19798,
292,
13,
22602,
13,
33407,
1330,
1635,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,... | 2.877551 | 49 |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 7 13:26:06 2017
@author: nblago
"""
from __future__ import print_function
import datetime
from astropy.io import votable
import numpy as np
import os
import logging
import warnings
from astropy import units as u
from astropy.coordinates import SkyCoord
from astropy.tab... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
30030,
1526,
220,
767,
1511,
25,
2075,
25,
3312,
2177,
198,
198,
31,
9800,
25,
299,
2436,
3839,
198,
37811,
198,
6738,
11593,
37443,
834,
1330,
... | 3 | 257 |
import cv2
cap = cv2.VideoCapture(0)
w = round(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
h = round(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fourcc = cv2.VideoWriter_fourcc(*'DIVX') # *'DIVX' == 'D','I','V','X'
out = cv2.VideoWriter('output.avi', fourcc, 30, (w, h))
while True: # 카메라 프레임 처리
ret, frame = cap.read()
out.wr... | [
11748,
269,
85,
17,
198,
198,
11128,
796,
269,
85,
17,
13,
10798,
49630,
7,
15,
8,
198,
198,
86,
796,
2835,
7,
11128,
13,
1136,
7,
33967,
17,
13,
33177,
62,
4805,
3185,
62,
10913,
10067,
62,
54,
2389,
4221,
4008,
198,
71,
796,
... | 1.828947 | 228 |
"""
test_rosetta_flash.py
Copyright 2015 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af 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 version 2 of the License.
w3af is distributed in the ho... | [
37811,
198,
9288,
62,
305,
2617,
8326,
62,
34167,
13,
9078,
198,
198,
15269,
1853,
843,
411,
371,
666,
6679,
198,
198,
1212,
2393,
318,
636,
286,
266,
18,
1878,
11,
2638,
1378,
86,
18,
1878,
13,
2398,
14,
764,
198,
198,
86,
18,
... | 3.381481 | 270 |
from check_personal_identity_number_and_credit_card.check_Pesel import (
valid_pesel,
check_control_sum_pesel,
check_age,
pesel,
)
correct_pesel = ["53052486359", "94120679457", "01240316649"]
too_long_pesel = "5305248635923"
too_short_pesel = "530524863"
with_letters_pesel = "530524d6a59"
bad_pesel = ... | [
6738,
2198,
62,
22682,
62,
738,
414,
62,
17618,
62,
392,
62,
43082,
62,
9517,
13,
9122,
62,
47,
274,
417,
1330,
357,
198,
220,
220,
220,
4938,
62,
12272,
417,
11,
198,
220,
220,
220,
2198,
62,
13716,
62,
16345,
62,
12272,
417,
1... | 2.218543 | 151 |
# Copyright (c) 2012 Stuart Walsh
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# files (the "Software"), to deal in the Software without
# restriction, including without limitation the rights to use,
# copy, modify, merge, publish... | [
2,
220,
15069,
357,
66,
8,
2321,
22559,
24104,
198,
2,
198,
2,
220,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
198,
2,
220,
16727,
257,
4866,
286,
428,
3788,
290,
3917,
10314,
198,
2,
220,
3696,
357,
... | 3.656347 | 323 |
import os, sys
import torch
import torch.nn as nn
from models import *
from config import *
args = parse_arguments()
if not os.path.isfile(args.checkpoint):
sys.exit("model does not exist")
print(f"converting {args.checkpoint}...")
model = GeneratorDCGAN(z_dim=args.z_dim, model_dim=args.model_dim, num_cl... | [
11748,
28686,
11,
25064,
201,
198,
11748,
28034,
201,
198,
11748,
28034,
13,
20471,
355,
299,
77,
201,
198,
6738,
4981,
1330,
1635,
201,
198,
6738,
4566,
1330,
1635,
201,
198,
201,
198,
22046,
796,
21136,
62,
853,
2886,
3419,
201,
198... | 2.720238 | 168 |
import numpy as np
from nose.plugins.skip import SkipTest
import theano
from theano import tensor as T
from theano.sandbox import mkl
if not mkl.mkl_available:
raise SkipTest('Optional package MKL disabled')
if __name__ == '__main__':
x = T.ftensor4('x_4D')
run_test('forward', x)
run_test('backward... | [
11748,
299,
32152,
355,
45941,
198,
6738,
9686,
13,
37390,
13,
48267,
1330,
32214,
14402,
198,
198,
11748,
262,
5733,
198,
6738,
262,
5733,
1330,
11192,
273,
355,
309,
198,
6738,
262,
5733,
13,
38142,
3524,
1330,
33480,
75,
198,
198,
... | 2.503067 | 163 |
# GENERATED BY KOMAND SDK - DO NOT EDIT
import insightconnect_plugin_runtime
import json
| [
2,
24700,
1137,
11617,
11050,
509,
2662,
6981,
26144,
532,
8410,
5626,
48483,
198,
11748,
11281,
8443,
62,
33803,
62,
43282,
198,
11748,
33918,
628,
198,
220,
220,
220,
220,
198,
220,
220,
220,
220,
628
] | 2.833333 | 36 |
from uberUtils import *
'''curl -F 'client_id=M5TNy7T9h9n8xUOQ_uWSHVLdGvfw7u6H' \
-F 'client_secret=w5P7E4Ld54d_ai3lJRhAgkU_9oWbKd9kkTJHfPgf' \
-F 'grant_type=authorization_code' \
-F 'redirect_uri=https://9bbc25ce.ngrok.io' \
-F 'code=fMiym9aqxIPA6aEIDgZcHRk0BBwVM4' \
https://login.uber.com/o... | [
6738,
48110,
18274,
4487,
1330,
1635,
198,
198,
7061,
6,
66,
6371,
532,
37,
705,
16366,
62,
312,
28,
44,
20,
46559,
88,
22,
51,
24,
71,
24,
77,
23,
87,
52,
46,
48,
62,
84,
54,
9693,
47468,
67,
38,
85,
44482,
22,
84,
21,
39,
... | 1.678218 | 202 |
# Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the... | [
2,
15069,
2321,
1578,
1829,
5070,
355,
7997,
416,
262,
198,
2,
22998,
286,
262,
2351,
15781,
261,
2306,
873,
290,
4687,
8694,
13,
198,
2,
1439,
6923,
33876,
13,
198,
2,
198,
2,
15069,
2321,
46915,
11,
3457,
13,
198,
2,
198,
2,
2... | 2.826923 | 520 |
"Reloading Callback Handlers Dynamically"
# reload callback handlers dynamically
from tkinter import *
import radactions # get initial callback handlers
from importlib import reload
Hello().mainloop()
'''
You can change this file any number of times while the rad
script’s ... | [
1,
6892,
1170,
278,
4889,
1891,
7157,
8116,
14970,
1146,
1,
198,
2,
18126,
23838,
32847,
32366,
198,
198,
6738,
256,
74,
3849,
1330,
1635,
198,
11748,
2511,
4658,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,... | 3.614286 | 280 |
"""
Generates partition function and fraction folded expressions for an NRC
capped homopolymer series, and generates a list of experiment filenames (melts) and a constructs list.
"""
from __future__ import division
import sympy as sp
import numpy as np
import json
import os
import time
start = time.time()
print("\nG... | [
37811,
198,
8645,
689,
18398,
2163,
290,
13390,
24650,
14700,
329,
281,
399,
7397,
198,
66,
6320,
3488,
35894,
647,
2168,
11,
290,
18616,
257,
1351,
286,
6306,
1226,
268,
1047,
357,
17694,
912,
8,
290,
257,
34175,
1351,
13,
198,
37811... | 2.464706 | 2,210 |
from numpy import genfromtxt, zeros
from math import pi
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
map = genfromtxt('out.dat')
N = 512
projection = 'cyl' # 'cyl', 'moll', 'ortho'
save_as_png = False
save_as_svg = False
inside_map = zeros((int(N + 1), int(N / 2 + 1)))
x = zeros((int(N ... | [
6738,
299,
32152,
1330,
2429,
6738,
14116,
11,
1976,
27498,
198,
198,
6738,
10688,
1330,
31028,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
6738,
285,
489,
62,
25981,
74,
896,
13,
12093,
368,
499,
1330,
6455,
36... | 1.991197 | 568 |
from mtrack.cores import CoreSolver, CoreBuilder, DB
from mtrack.preprocessing import g1_to_nml, Chunker, extract_maxima_candidates
from mtrack.mt_utils import read_config, check_overlap
from mtrack.graphs.g1_graph import G1
from solve import solve
import numpy as np
import h5py
import os
import multiprocessing, loggi... | [
6738,
285,
11659,
13,
66,
2850,
1330,
7231,
50,
14375,
11,
7231,
32875,
11,
20137,
198,
6738,
285,
11659,
13,
3866,
36948,
1330,
308,
16,
62,
1462,
62,
77,
4029,
11,
609,
21705,
11,
7925,
62,
9806,
8083,
62,
46188,
37051,
198,
6738,... | 1.863139 | 548 |
# --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ impor... | [
2,
20368,
22369,
198,
2,
309,
22854,
11125,
38996,
371,
12,
18474,
198,
2,
49962,
739,
383,
17168,
13789,
685,
3826,
38559,
24290,
329,
3307,
60,
198,
2,
22503,
416,
25426,
293,
72,
12555,
198,
2,
20368,
22369,
198,
6738,
11593,
37443... | 2.287523 | 2,132 |
import glob
from collections import Counter
from typing import List
import sys
import os
import json
from preprocessing.scraping import JSONS_DIR
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
| [
11748,
15095,
198,
6738,
17268,
1330,
15034,
198,
6738,
19720,
1330,
7343,
198,
198,
11748,
25064,
198,
11748,
28686,
198,
11748,
33918,
198,
198,
6738,
662,
36948,
13,
1416,
2416,
278,
1330,
19449,
50,
62,
34720,
198,
198,
17597,
13,
6... | 3.089744 | 78 |
from django.core.exceptions import ValidationError
from django.utils.deconstruct import deconstructible
# def validator_file_max_size_in_mb(max_size):
# def validate_image(fieldfile_obj):
# filesize = fieldfile_obj.file.size
# megabyte_limit = 5.0
# if filesize > megabyte_limit * 1024 * 1... | [
6738,
42625,
14208,
13,
7295,
13,
1069,
11755,
1330,
3254,
24765,
12331,
198,
6738,
42625,
14208,
13,
26791,
13,
12501,
261,
7249,
1330,
37431,
7249,
856,
628,
198,
198,
2,
825,
4938,
1352,
62,
7753,
62,
9806,
62,
7857,
62,
259,
62,
... | 2.511111 | 180 |
from django.apps import AppConfig
| [
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
628
] | 3.888889 | 9 |
# -*- coding: utf-8 -*-
import pytest
from rest_framework.status import HTTP_302_FOUND
import allure
from directory_tests_shared import URLs
from tests.smoke.cms_api_helpers import get_and_assert
pytestmark = [allure.suite("FAS redirects"), allure.feature("FAS redirects")]
@allure.issue("CMS-1834", "Links to legacy... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
12972,
9288,
198,
6738,
1334,
62,
30604,
13,
13376,
1330,
14626,
62,
22709,
62,
37,
15919,
198,
198,
11748,
477,
495,
198,
6738,
8619,
62,
41989,
62,
28710,
1330,... | 2.095969 | 521 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import math
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import numpy as np
import sys
TRANSFER_MB = 2 # Data transfered in me... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
11593,
37443,
834,
... | 2.85 | 140 |
from __future__ import (absolute_import, division, print_function)
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
import os
from codecs import open
from setuptools import find_packages, setup
import versioneer
here = os.p... | [
6738,
11593,
37443,
834,
1330,
357,
48546,
62,
11748,
11,
7297,
11,
3601,
62,
8818,
8,
198,
198,
37811,
32,
900,
37623,
10141,
1912,
9058,
8265,
13,
198,
198,
6214,
25,
198,
5450,
1378,
8002,
3039,
13,
29412,
13,
2398,
14,
268,
14,
... | 2.693816 | 663 |
# ----------------------------------------------------------------------
# Copyright (c) 2022
#
# See the LICENSE file for details
# see the AUTHORS file for authors
# ----------------------------------------------------------------------
#################################
## APPLICATION SPECIFIC WIDGETS #
############... | [
2,
16529,
23031,
198,
2,
15069,
357,
66,
8,
33160,
198,
2,
198,
2,
4091,
262,
38559,
24290,
2393,
329,
3307,
198,
2,
766,
262,
37195,
20673,
2393,
329,
7035,
198,
2,
16529,
23031,
198,
198,
29113,
2,
198,
2235,
39421,
6234,
28196,
... | 4.222222 | 306 |
"""ttLib.Chaining: Converting Chaining rules to TrueType."""
def lookup_type(self):
"""Mixin to determine the GSUB/GPOS lookup type of a fontFeatures.Chaining object
Returns: integer GSUB/GPOS lookup type."""
if self.stage == "pos":
return 8
else:
return 6
| [
37811,
926,
25835,
13,
1925,
1397,
25,
35602,
889,
609,
1397,
3173,
284,
6407,
6030,
526,
15931,
198,
198,
4299,
35847,
62,
4906,
7,
944,
2599,
198,
220,
220,
220,
37227,
35608,
259,
284,
5004,
262,
26681,
10526,
14,
16960,
2640,
3584... | 2.745283 | 106 |
import logging
from django import forms
from django.forms import ModelForm
from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from .choices import ActionChoice
from .choices import StatusApproval
from .models import GreencheckIp
from .models import GreencheckIpApprove
fr... | [
11748,
18931,
198,
198,
6738,
42625,
14208,
1330,
5107,
198,
6738,
42625,
14208,
13,
23914,
1330,
9104,
8479,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
1330,
651,
62,
7220,
62,
19849,
198,
6738,
42625,
14208,
13,
7295,
13,
1069... | 2.454731 | 1,469 |
>>> for n in (254, 255, 256, 257, -2+(1<<16), -1+(1<<16), 1<<16, 1+(1<<16), 0x200000, 0x1fffff ):
print('int: %7i bin: %26s vlq: %35s vlq->int: %7i' % (n, tobits(n,_pad=True), tovlq(n), toint(tovlq(n))))
int: 254 bin: 11111110 vlq: 00000001_11111110 vlq->int: 254
int: ... | [
33409,
329,
299,
287,
357,
24970,
11,
14280,
11,
17759,
11,
36100,
11,
532,
17,
33747,
16,
16791,
1433,
828,
532,
16,
33747,
16,
16791,
1433,
828,
352,
16791,
1433,
11,
352,
33747,
16,
16791,
1433,
828,
657,
87,
33470,
11,
657,
87,
... | 1.883268 | 771 |
import myexman
import torch
import utils
import datautils
import os
from logger import Logger
import time
import numpy as np
from models import flows, distributions
import matplotlib.pyplot as plt
from algo.em import init_kmeans2plus_mu
import warnings
from sklearn.mixture import GaussianMixture
import torch.nn.functio... | [
11748,
616,
1069,
805,
198,
11748,
28034,
198,
11748,
3384,
4487,
198,
11748,
1366,
26791,
198,
11748,
28686,
198,
6738,
49706,
1330,
5972,
1362,
198,
11748,
640,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
4981,
1330,
15623,
11,
24570... | 2.436458 | 2,699 |
#!/usr/bin/env python3
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from datetime import datetime, timedelta
from src.misc import check_n_mkdir, Logger
from collections... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
6738,
384,
11925,
1505,
1330,
3992,
26230,
198,
6738,
384,
11925,
1505,
13,
12384,
26230,
13,
11321,
13,
1525,
1330,
2750,
198,
6738,
384,
11925,
1505,
13,
12384,
26230,
13,
1... | 3.495327 | 107 |
from blockkit.attributes import TextAttr
from blockkit.generics import *
| [
6738,
2512,
15813,
13,
1078,
7657,
1330,
8255,
8086,
81,
198,
6738,
2512,
15813,
13,
8612,
873,
1330,
1635,
628,
198
] | 3.571429 | 21 |
from mock import patch
from nose.tools import assert_true, assert_false, assert_raises
from zabby.core.exceptions import WrongArgumentError
from zabby.core.six import b
from zabby.items.net import tcp
| [
6738,
15290,
1330,
8529,
198,
6738,
9686,
13,
31391,
1330,
6818,
62,
7942,
11,
6818,
62,
9562,
11,
6818,
62,
430,
2696,
198,
6738,
1976,
42457,
13,
7295,
13,
1069,
11755,
1330,
28843,
28100,
1713,
12331,
198,
198,
6738,
1976,
42457,
1... | 3.5 | 58 |
import pytest
from client.api import API
PROJECT_NAME = "test_acl"
USER_NAME = "test_artist"
PASSWORD = "123.456.AbCd"
ROLE_NAME = "test_artist_role"
@pytest.fixture
@pytest.mark.order(-1)
| [
11748,
12972,
9288,
198,
198,
6738,
5456,
13,
15042,
1330,
7824,
198,
198,
31190,
23680,
62,
20608,
796,
366,
9288,
62,
37779,
1,
198,
29904,
62,
20608,
796,
366,
9288,
62,
49016,
1,
198,
47924,
54,
12532,
796,
366,
10163,
13,
29228,
... | 2.385542 | 83 |
# -*- coding: utf-8 -*-
'''
process pdb file to calculate contact score and write to csv.
main function is prosess_save2csv()
usage: python3 RRCS_change.py file.pdb
input .pdb
output .csv
'''
import sys
# 当所有atom距离都大于 4.63 是不被记录的，应该计为0
# a function to eliminate 0 score from calc_contact()
... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
201,
198,
7061,
6,
201,
198,
14681,
279,
9945,
2393,
284,
15284,
2800,
4776,
290,
3551,
284,
269,
21370,
13,
201,
198,
220,
220,
220,
1388,
2163,
318,
10360,
408,... | 2.004173 | 4,313 |
# Begin
# node 1 text A.
# node 2 text B.
# End
| [
198,
2,
16623,
198,
198,
2,
10139,
352,
2420,
317,
13,
198,
2,
10139,
362,
2420,
347,
13,
198,
198,
2,
5268,
198
] | 2.217391 | 23 |
from BasicDS.ArrayQueue import ArrayQueue
if __name__ == "__main__":
queue = ArrayQueue()
for i in range(10):
queue.enqueue(i)
print(queue)
if i % 3 == 2:
queue.dequeue()
print(queue)
| [
6738,
14392,
5258,
13,
19182,
34991,
1330,
15690,
34991,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
16834,
796,
15690,
34991,
3419,
628,
220,
220,
220,
329,
1312,
287,
2837,
7,
940,
2599,
19... | 2.068376 | 117 |
import os, sys, numpy, torch, argparse, skimage, json, shutil
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.ticker import MaxNLocator
import matplotlib
if __name__ == '__main__':
main()
| [
11748,
28686,
11,
25064,
11,
299,
32152,
11,
28034,
11,
1822,
29572,
11,
1341,
9060,
11,
33918,
11,
4423,
346,
198,
6738,
2603,
29487,
8019,
13,
1891,
2412,
13,
1891,
437,
62,
9460,
1330,
11291,
6090,
11017,
46384,
355,
11291,
6090,
1... | 3.113636 | 88 |
"""
Root system data for type I
"""
from __future__ import absolute_import
#*****************************************************************************
# Copyright (C) 2008-2009 Nicolas M. Thiery <nthiery at users.sf.net>,
#
# Distributed under the terms of the GNU General Public License (GPL)
# ... | [
37811,
198,
30016,
1080,
1366,
329,
2099,
314,
198,
37811,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
2,
17174,
17174,
4557,
35625,
198,
2,
220,
220,
220,
220,
220,
220,
15069,
357,
34,
8,
3648,
12,
10531,
29737,
337,
... | 3.705882 | 136 |
# coding=utf-8
###########################
# file: util.py
# date: 2021-7-16
# author: Sturmfy
# desc: utility
# version:
# 2021-7-16 init design
########################### | [
2,
19617,
28,
40477,
12,
23,
198,
198,
14468,
7804,
21017,
198,
2,
2393,
25,
7736,
13,
9078,
198,
2,
3128,
25,
33448,
12,
22,
12,
1433,
198,
2,
1772,
25,
26783,
76,
24928,
198,
2,
1715,
25,
10361,
198,
2,
2196,
25,
198,
2,
220... | 3.034483 | 58 |
#!/usr/bin/env python
# coding: utf-8
# # 5m - Df unification (10 calib. fn-s)
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import os
from os.path import join
import pickle
from copy import copy
# In[7]:
# MAIN
IDENT_TAG = "28_05_pre"
PATH_res = "data_1m_final_2805"
COLUMNS = ["mod... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
19617,
25,
3384,
69,
12,
23,
198,
198,
2,
1303,
642,
76,
532,
360,
69,
49080,
357,
940,
27417,
13,
24714,
12,
82,
8,
198,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
... | 2.085106 | 1,645 |
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('add_user', views.UserCreateView.as_view(), name="add_user"),
path('edit_user/<str:user_id>', views.UserEditView.as_view(), name="edit_user"),
path('manag... | [
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
13,
12708,
1330,
9037,
198,
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
6738,
42625,
14208,
13,
6371,
82,
1330,
3108,
198,
6738,
764,
1330,
5009,
628,
198,
6371,
33279,
82,
796,
68... | 2.769231 | 286 |
import _thread
import time
import socket
import copy
from mctypes import ParseVarInt, PackVarInt
from enums import Play, Login
from handlers import Handler
from senders import Sender
from helpers import calculate_yaw_and_pitch
| [
11748,
4808,
16663,
198,
11748,
640,
198,
11748,
17802,
198,
11748,
4866,
198,
6738,
285,
310,
9497,
1330,
2547,
325,
19852,
5317,
11,
6400,
19852,
5317,
198,
6738,
551,
5700,
1330,
3811,
11,
23093,
198,
6738,
32847,
1330,
32412,
198,
6... | 3.8 | 60 |
from flask import Flask, render_template, request, flash, redirect
import pickle
import numpy as np
app = Flask(__name__)
model = pickle.load(open("final_model.pkl", "rb"))
@app.route("/", methods = ['GET','POST'])
if __name__ == '__main__':
app.run(debug = True) | [
6738,
42903,
1330,
46947,
11,
8543,
62,
28243,
11,
2581,
11,
7644,
11,
18941,
201,
198,
11748,
2298,
293,
201,
198,
11748,
299,
32152,
355,
45941,
201,
198,
201,
198,
1324,
796,
46947,
7,
834,
3672,
834,
8,
201,
198,
201,
198,
19849... | 2.635514 | 107 |
import aiohttp
import asyncio
import time
start_time = time.time()
asyncio.run(main())
print("--- %s seconds ---" % (time.time() - start_time))
| [
11748,
257,
952,
4023,
198,
11748,
30351,
952,
198,
11748,
640,
628,
198,
9688,
62,
2435,
796,
640,
13,
2435,
3419,
628,
198,
292,
13361,
952,
13,
5143,
7,
12417,
28955,
198,
4798,
7203,
6329,
4064,
82,
4201,
11420,
1,
4064,
357,
24... | 2.846154 | 52 |
"""
Parla supports simple task parallelism.
.. testsetup::
T0 = None
code = None
from .cpu import cpu
"""
import logging
import threading
import inspect
from abc import abstractmethod, ABCMeta
from contextlib import asynccontextmanager, contextmanager, ExitStack
from typing import Awaitable, Collection, ... | [
37811,
198,
10044,
5031,
6971,
2829,
4876,
10730,
1042,
13,
198,
198,
492,
1332,
40406,
3712,
628,
220,
220,
220,
309,
15,
796,
6045,
198,
220,
220,
220,
2438,
796,
6045,
198,
220,
220,
220,
422,
764,
36166,
1330,
42804,
198,
198,
3... | 2.462987 | 6,052 |
import os
import logging
| [
11748,
28686,
198,
11748,
18931,
628,
198
] | 3.857143 | 7 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Package: mesxr.calibration
Module: plots
Author: Patrick VanMeter
Affiliation: Department of Physics, University of Wisconsin-Madison
Last Updated: November 2018
Description:
This module is used to generate common plots to analyse the ressults of the ME-SXR calibra... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
27813,
25,
18842,
87,
81,
13,
9948,
571,
1358,
198,
26796,
25,
21528,
198,
13838,
25,
9925,
6656,
44,
235... | 2.093828 | 11,617 |
#!/usr/bin/env python3
"""
BASICS
Admin functionalities
"""
from flask import Flask, request
import glob
import os
import time
import base_functions as bf
import remove_files as rmf
app = Flask(__name__)
GREYFISH_FOLDER = os.environ['greyfish_path']+"/sandbox/"
# Gets a list of all available users, comma-se... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
37811,
198,
33,
1921,
19505,
198,
198,
46787,
10345,
871,
198,
37811,
628,
198,
6738,
42903,
1330,
46947,
11,
2581,
198,
11748,
15095,
198,
11748,
28686,
198,
11748,
640,
198,
... | 2.824074 | 216 |
""" Setup file"""
| [
37811,
31122,
2393,
37811,
201,
198
] | 3.166667 | 6 |
from translationstring import TranslationStringFactory
from pyramid.config import Configurator
from c2cwsgiutils.health_check import HealthCheck
from pyramid.events import BeforeRender, NewRequest
import c2cgeoform
from pkg_resources import resource_filename
from c2c.template.config import config as configuration
fro... | [
6738,
11059,
8841,
1330,
33322,
10100,
22810,
198,
6738,
27944,
13,
11250,
1330,
17056,
333,
1352,
198,
6738,
269,
17,
66,
18504,
12397,
26791,
13,
13948,
62,
9122,
1330,
3893,
9787,
198,
6738,
27944,
13,
31534,
1330,
7413,
45819,
11,
9... | 2.795652 | 690 |
#!/usr/bin/env python
"""BaseballSerialParserCOM.py: Collects data from a Daktronics All Sport 5000 connected via port J2 to a
Daktronics All Sport CG connected to a computer on COM port (defined on line 56), then parses data to
a .csv readable by broadcasting programs. This file has only been tested using game code... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
37811,
14881,
1894,
32634,
46677,
9858,
13,
9078,
25,
9745,
82,
1366,
422,
257,
11775,
83,
20844,
1439,
12771,
23336,
5884,
2884,
2493,
449,
17,
284,
257,
220,
198,
35,
461,
83,
... | 2.71202 | 1,639 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from imp import load_source
from setuptools import setup
version = load_source("version", "pylemon/__init__.py")
setup(
name="pylemon",
version=version.__version__,
license="MIT",
description="python daemon to monitor specific directories and react on changes... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
6738,
848,
1330,
3440,
62,
10459,
198,
6738,
900,
37623,
10141,
1330,
9058,
198,
198,
9641,
796,
3440,
62,
10459,
7203,
... | 2.64486 | 535 |
#MenuTitle: Round All Kerns
# -*- coding: utf-8 -*-
__doc__="""
If there are any floating-point kern values in the font, this will round them to the nearest integer.
"""
font = Glyphs.font
# print(font.kerning)
# for each value in kerning dictionary
for key, value in font.kerning.items():
for key, value in font.... | [
2,
23381,
19160,
25,
10485,
1439,
49132,
82,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
834,
15390,
834,
2625,
15931,
198,
1532,
612,
389,
597,
12462,
12,
4122,
479,
1142,
3815,
287,
262,
10369,
11,
428,
4... | 2.660256 | 156 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | [
2,
19617,
28,
40477,
12,
23,
198,
2,
17202,
39410,
25,
428,
2393,
373,
7560,
416,
262,
21624,
12994,
24118,
687,
10290,
357,
27110,
5235,
8,
16984,
13,
17202,
198,
2,
17202,
2141,
407,
4370,
416,
1021,
4556,
345,
821,
1728,
345,
760... | 2.855769 | 624 |
import tornado.gen
import tornado.web
from core.requesthandler import RequestHandler
import core.util
| [
11748,
33718,
13,
5235,
198,
11748,
33718,
13,
12384,
198,
198,
6738,
4755,
13,
25927,
30281,
1330,
19390,
25060,
198,
11748,
4755,
13,
22602,
198
] | 4.12 | 25 |
#monotonous increase stack
| [
2,
2144,
18970,
516,
2620,
8931,
198
] | 3.857143 | 7 |
"""Problem 24: Lexographic permutations.
Iteratively generate permutations"""
import unittest
def is_permutation(n, d):
"""Checks to see if n is a permutation of the digits 0-d."""
n = [int(i) for i in str(n)]
if len(n) < d or len(n) > d+1:
return False
elif len(n) < d+1:
n.insert(0, 0... | [
37811,
40781,
1987,
25,
17210,
6826,
9943,
32855,
13,
198,
198,
29993,
9404,
7716,
9943,
32855,
37811,
198,
11748,
555,
715,
395,
198,
198,
4299,
318,
62,
16321,
7094,
7,
77,
11,
288,
2599,
198,
220,
220,
220,
37227,
7376,
4657,
284,
... | 2.072614 | 482 |
import os.path
from unittest import TestCase
import numpy as np
import pandas as pd
from ipycli.notebookmanager import NotebookManager
from IPython.utils.tempdir import TemporaryDirectory
if __name__ == '__main__':
import n... | [
11748,
28686,
13,
6978,
198,
6738,
555,
715,
395,
1330,
6208,
20448,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
6738,
20966,
88,
44506,
13,
11295,
2070,
37153,
1330,
5740,
2070,
13511,
198,
... | 1.712329 | 292 |
import ftplib
import sys
import os
from lib.FTPUpload import FTPUpload
if __name__ == '__main__':
try:
ftp_upload = FTPUpload(os.path.abspath('config/config.json'))
ftp_upload.upload()
except FileNotFoundError as error:
sys.exit(f'File `{error.filename}` does not exist.')
except ftp... | [
11748,
10117,
489,
571,
198,
11748,
25064,
198,
11748,
28686,
198,
6738,
9195,
13,
9792,
5105,
7304,
1330,
19446,
5105,
7304,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1949,
25,
198,
220,
... | 2.337662 | 154 |
import unittest, time, sys, random, math, json
sys.path.extend(['.','..','../..','py'])
import h2o, h2o_cmd, h2o_kmeans, h2o_import as h2i, h2o_common
import socket
print "Assumes you ran ../build_for_clone.py in this directory"
print "Using h2o-nodes.json. Also the sandbox dir"
DELETE_KEYS_EACH_ITER = True
DO_KMEANS... | [
11748,
555,
715,
395,
11,
640,
11,
25064,
11,
4738,
11,
10688,
11,
33918,
198,
17597,
13,
6978,
13,
2302,
437,
7,
17816,
2637,
4032,
492,
41707,
40720,
492,
41707,
9078,
6,
12962,
198,
11748,
289,
17,
78,
11,
289,
17,
78,
62,
2875... | 2.485149 | 202 |
from scipy.optimize import fsolve
# apt-get install python-scipy
#:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
# REFLEX TIMING
#:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#
# | R0u R0d R1u ... | [
6738,
629,
541,
88,
13,
40085,
1096,
1330,
43458,
6442,
201,
198,
2,
15409,
12,
1136,
2721,
21015,
12,
1416,
541,
88,
201,
198,
201,
198,
2,
43661,
43661,
43661,
43661,
43661,
43661,
43661,
43661,
43661,
43661,
24022,
25,
201,
198,
2,... | 1.879068 | 2,274 |
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
11787,
628,
198,
2,
13610,
534,
4981,
994,
13,
628
] | 3.551724 | 29 |
from funlib.show.neuroglancer import add_layer, ScalePyramid
import argparse
import daisy
import glob
import neuroglancer
import numpy as np
import os
import webbrowser
from swc_parser import _parse_swc
from pathlib import Path
import itertools
import random
import logging
ngid = itertools.count(start=1)
parser = arg... | [
6738,
1257,
8019,
13,
12860,
13,
710,
1434,
4743,
8250,
1330,
751,
62,
29289,
11,
21589,
20519,
20255,
198,
11748,
1822,
29572,
198,
11748,
12379,
13560,
198,
11748,
15095,
198,
11748,
7669,
4743,
8250,
198,
11748,
299,
32152,
355,
45941,... | 2.38092 | 1,457 |
from .mpi import MPINonRootEventLoop, MPIRootEventLoop
__all__ = [
"MPINonRootEventLoop",
"MPIRootEventLoop",
]
| [
6738,
764,
3149,
72,
1330,
4904,
1268,
261,
30016,
9237,
39516,
11,
4904,
4663,
1025,
9237,
39516,
198,
198,
834,
439,
834,
796,
685,
198,
220,
220,
220,
366,
7378,
1268,
261,
30016,
9237,
39516,
1600,
198,
220,
220,
220,
366,
7378,
... | 2.42 | 50 |
__author__ = "James Clark"
__copyright__ = "Copyright 2020, F.R.A.M.E Project"
__credits__ = ["James Clark"]
__version__ = "1.0"
# Import in necessary libraries
import threading
import time
import sqlForGui
import gui
from datetime import datetime, date
current_time_and_date = ''
# Function that runs the system tim... | [
834,
9800,
834,
796,
366,
14731,
11264,
1,
198,
834,
22163,
4766,
834,
796,
366,
15269,
12131,
11,
376,
13,
49,
13,
32,
13,
44,
13,
36,
4935,
1,
198,
834,
66,
20696,
834,
796,
14631,
14731,
11264,
8973,
198,
834,
9641,
834,
796,
... | 3.878689 | 305 |
################################################################################
# _ ____ ___ _____ _ _ _ _ #
# / \ / ___|_ _| |_ _|__ ___ | | | _(_) |_ #
# / _ \| | | | | |/ _ \ / _ \| | |/ / | __| ... | [
29113,
29113,
14468,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
220,
220,
220,
220,
1427,
46444,
220,
220,
220,
29343,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
4808... | 1.897843 | 2,457 |
import logging
from pure_aionsq.settings import loggerName
_logger = logging.getLogger(loggerName)
_logger.setLevel(logging.DEBUG)
logger = _logger
| [
11748,
18931,
198,
198,
6738,
5899,
62,
64,
507,
80,
13,
33692,
1330,
49706,
5376,
628,
198,
62,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
6404,
1362,
5376,
8,
198,
62,
6404,
1362,
13,
2617,
4971,
7,
6404,
2667,
13,
30531,
... | 2.903846 | 52 |
import json
import os
from time import sleep
import paho.mqtt.client as mqtt
from nhc2_coco.const import MQTT_TOPIC_PUBLIC_AUTH_RSP, MQTT_PROTOCOL, MQTT_TRANSPORT, MQTT_TOPIC_PUBLIC_AUTH_CMD
class CoCoProfiles:
"""CoCoDiscover will collect a list of profiles on a NHC2
"""
| [
11748,
33918,
198,
11748,
28686,
198,
6738,
640,
1330,
3993,
198,
198,
11748,
279,
17108,
13,
76,
80,
926,
13,
16366,
355,
285,
80,
926,
198,
198,
6738,
299,
71,
66,
17,
62,
66,
25634,
13,
9979,
1330,
337,
48,
15751,
62,
35222,
21... | 2.375 | 120 |
# Copyright 2021 Hakan Kjellerstrand hakank@gmail.com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | [
2,
15069,
33448,
24734,
272,
509,
73,
12368,
2536,
392,
387,
74,
962,
31,
14816,
13,
785,
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,
... | 3.269799 | 745 |
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | [
2,
15069,
12131,
3012,
11419,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
921,
743,
733... | 2.910105 | 1,613 |
'''
Created on 14/9/2015
@author: victor
'''
import sys
import numpy
from nma_algo_char.data_retrieval import calculate_rmsds
if __name__ == '__main__':
current_coords = numpy.delete(numpy.loadtxt(sys.argv[1]),0,1)
proposal_coords = numpy.delete(numpy.loadtxt(sys.argv[2]),0,1)
anm_final_coords = numpy.del... | [
7061,
6,
198,
41972,
319,
1478,
14,
24,
14,
4626,
198,
198,
31,
9800,
25,
2210,
273,
198,
7061,
6,
198,
11748,
25064,
198,
11748,
299,
32152,
198,
6738,
299,
2611,
62,
282,
2188,
62,
10641,
13,
7890,
62,
1186,
380,
18206,
1330,
15... | 2.017331 | 577 |
#
# @lc app=leetcode id=355 lang=python3
#
# [355] Design Twitter
#
import collections
import heapq
# @lc code=start
# Your Twitter object will be instantiated and called as such:
# obj = Twitter()
# obj.postTweet(1,5)
# param_2 = obj.getNewsFeed(1)
# obj.follow(1,2)
# obj.postTweet(2,6)
# param_2 = obj.getNewsFeed(1... | [
2,
198,
2,
2488,
44601,
598,
28,
293,
316,
8189,
4686,
28,
28567,
42392,
28,
29412,
18,
198,
2,
198,
2,
685,
28567,
60,
8495,
3009,
198,
2,
198,
11748,
17268,
198,
11748,
24575,
80,
198,
2,
2488,
44601,
2438,
28,
9688,
628,
198,
... | 2.551948 | 154 |
from __future__ import absolute_import
import json
import logging
| [
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
198,
11748,
33918,
198,
11748,
18931,
628
] | 4.25 | 16 |
from django.apps import AppConfig
| [
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
628
] | 3.888889 | 9 |
#!/usr/bin/env python3
import json
import gzip
MAX = 1000
if __name__ == "__main__":
with gzip.open("./tests/testdata.ldj.gz", "wt") as outp:
for n in range(0, MAX):
print(json.dumps({"foo": n,
"bar": MAX-n,
"baz": "test{}".format(n)
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
11748,
33918,
198,
11748,
308,
13344,
198,
198,
22921,
796,
8576,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
351,
308,
13344,
13,
9654,
... | 1.67757 | 214 |
from discord import Embed, DMChannel, File
import os
| [
6738,
36446,
1330,
13302,
276,
11,
14848,
29239,
11,
9220,
198,
11748,
28686,
628
] | 3.857143 | 14 |
import os
import urllib.request
import csv
csv_file_path = 'mathscinet.csv'
urllib.request.urlretrieve('https://mathscinet.ams.org/msnhtml/annser.csv', csv_file_path)
with open(csv_file_path, mode='r') as csv_file, open('journal_abbreviations_mathematics.txt', mode='w') as abbreviations_file:
abbreviations_file =... | [
11748,
28686,
198,
11748,
2956,
297,
571,
13,
25927,
198,
11748,
269,
21370,
198,
198,
40664,
62,
7753,
62,
6978,
796,
705,
11018,
1416,
42504,
13,
40664,
6,
198,
333,
297,
571,
13,
25927,
13,
6371,
1186,
30227,
10786,
5450,
1378,
110... | 2.37464 | 347 |