content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import json
import os
from contextlib import contextmanager
from datetime import date, datetime, timedelta
from unittest.mock import Mock
import pytest
from bs4 import BeautifulSoup
from flask import Flask, url_for
from notifications_python_client.errors import HTTPError
from notifications_utils.url_safe_token import ... | [
11748,
33918,
198,
11748,
28686,
198,
6738,
4732,
8019,
1330,
4732,
37153,
198,
6738,
4818,
8079,
1330,
3128,
11,
4818,
8079,
11,
28805,
12514,
198,
6738,
555,
715,
395,
13,
76,
735,
1330,
44123,
198,
198,
11748,
12972,
9288,
198,
6738,... | 2.730745 | 3,142 |
# For plotting the images
from matplotlib import pyplot as plt
import numpy as np
from som import SOM
#source https://codesachin.wordpress.com/2015/11/28/self-organizing-maps-with-googles-tensorflow/
# Training inputs for RGBcolors
colors = np.array(
[[0., 0., 0.],
[0., 0., 1.],
[0., 0., 0.5],
[0.1... | [
2,
1114,
29353,
262,
4263,
198,
6738,
2603,
29487,
8019,
1330,
12972,
29487,
355,
458,
83,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
3870,
1330,
42121,
198,
198,
2,
10459,
3740,
1378,
40148,
620,
259,
13,
40346,
13,
785,
14,
4626... | 2.095915 | 563 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** 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 _utilities
__... | [
2,
19617,
28,
40477,
12,
23,
198,
2,
17202,
39410,
25,
428,
2393,
373,
7560,
416,
262,
21624,
12994,
26144,
35986,
13,
17202,
198,
2,
17202,
2141,
407,
4370,
416,
1021,
4556,
345,
821,
1728,
345,
760,
644,
345,
389,
1804,
0,
17202,
... | 2.443598 | 656 |
# encoding: utf-8
__author__ = "Dimitrios Karkalousos"
# Taken and adapted from: https://github.com/NVIDIA/NeMo/blob/main/nemo/core/classes/module.py
from abc import ABC
from contextlib import contextmanager
from torch.nn import Module
__all__ = ["NeuralModule"]
from mridc.core.classes.common import FileIO, Seriali... | [
2,
21004,
25,
3384,
69,
12,
23,
198,
834,
9800,
834,
796,
366,
29271,
49510,
418,
509,
668,
282,
516,
418,
1,
198,
198,
2,
30222,
290,
16573,
422,
25,
3740,
1378,
12567,
13,
785,
14,
38021,
14,
8199,
16632,
14,
2436,
672,
14,
12... | 2.613354 | 644 |
# -*- encoding: utf-8 -*-
"""
@File : urls
@Date : 2019/11/15
@Author : Regulus
@Contact : yusheng831143@gmail.com
@Desc : 所有首页相关url映射。
"""
from django.urls import path
from apps.index import views
app_name = 'app_index'
urlpatterns = [
path('', views.index, name='index'),
path('home', views.home,... | [
2,
532,
9,
12,
21004,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
31,
8979,
220,
220,
220,
1058,
2956,
7278,
198,
31,
10430,
220,
220,
220,
1058,
13130,
14,
1157,
14,
1314,
198,
31,
13838,
220,
1058,
3310,
23515,
198,
31,... | 2.349057 | 212 |
import numpy as np
from .._tier0 import Image
def touching_labels_to_networkx(label_image:Image):
"""
Takes a label image, determines which labels are touching each other and returns an networkx graph
representing labels in range.
Parameters
----------
label_image : Image
Returns
----... | [
11748,
299,
32152,
355,
45941,
198,
6738,
11485,
62,
24948,
15,
1330,
7412,
198,
198,
4299,
15241,
62,
23912,
1424,
62,
1462,
62,
27349,
87,
7,
18242,
62,
9060,
25,
5159,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
33687,
2... | 2.90411 | 219 |
# Copyright 2019-2020 Xanadu Quantum Technologies 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 law or... | [
2,
15069,
13130,
12,
42334,
47482,
324,
84,
29082,
21852,
3457,
13,
198,
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,... | 2.657751 | 6,057 |
"""
更加简洁的WeightDefiner版本
用于实现bug report转vec
2021.4.14 crx
"""
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from file_reader import FileReader
from file_writer import JSONWriter
from constants import data_pool_path
import os
if __name__ == '__main__':
wd = VectorBuilder('report',... | [
37811,
198,
162,
249,
112,
27950,
254,
163,
106,
222,
162,
112,
223,
21410,
25844,
7469,
7274,
48304,
17312,
105,
198,
18796,
101,
12859,
236,
22522,
252,
163,
236,
108,
25456,
989,
164,
121,
105,
35138,
198,
1238,
2481,
13,
19,
13,
... | 2.528571 | 140 |
# @file cli.py
# @brief cli of whole tool
# README: Command line interface
# MODULE_ARCH:
# CLASS_ARCH:
# GLOBAL USAGE:
#standard
import cmd
#extend
#library
import lib.globalclasses as gc
from lib.const import *
##### Code section #####
#Spec: local variable maintain, about, user commands, test commands
#How/Need... | [
2,
2488,
7753,
537,
72,
13,
9078,
198,
2,
2488,
65,
3796,
537,
72,
286,
2187,
2891,
198,
2,
20832,
11682,
25,
9455,
1627,
7071,
198,
2,
33893,
62,
31315,
25,
220,
220,
198,
2,
42715,
62,
31315,
25,
198,
2,
10188,
9864,
1847,
129... | 2.018905 | 2,063 |
#!/usr/bin/env python
import boto3
rds = boto3.client('rds')
try:
# get all of the db instances
dbs = rds.describe_db_instances()
for db in dbs['DBInstances']:
print ("{}".format(db['Endpoint']['Address']))
except Exception as error:
print (error) | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
11748,
275,
2069,
18,
198,
4372,
82,
796,
275,
2069,
18,
13,
16366,
10786,
4372,
82,
11537,
198,
28311,
25,
198,
220,
220,
220,
1303,
651,
477,
286,
262,
20613,
10245,
198,
220,
220,... | 2.419643 | 112 |
#!/usr/bin/env python
#
# ovf.py - Class for OVF/OVA handling
#
# August 2013, Glenn F. Matthews
# Copyright (c) 2013-2017, 2019 the COT project developers.
# See the COPYRIGHT.txt file at the top-level directory of this distribution
# and at https://github.com/glennmatthews/cot/blob/master/COPYRIGHT.txt.
#
# This file... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
198,
2,
19643,
69,
13,
9078,
532,
5016,
329,
440,
53,
37,
14,
41576,
9041,
198,
2,
198,
2,
2932,
2211,
11,
17551,
376,
13,
22233,
198,
2,
15069,
357,
66,
8,
2211,
12,
5539,
... | 2.062425 | 59,159 |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
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,
383,
7054,... | 3.306584 | 486 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from .twitch import Messages, Channel
from .subtitles import SubtitleWriter
from .settings import argparser, settings
if __name__ == "__main__":
main()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
11748,
33918,
198,
198,
6738,
764,
31844,
1330,
43534,
11,
11102,
198,
6738,
764,
7266,
83,
30540,
1330,
3834,
783... | 2.96 | 75 |
import numpy as np
from cereal import car
from selfdrive.config import Conversions as CV
from selfdrive.car.interfaces import CarStateBase
from opendbc.can.parser import CANParser
from opendbc.can.can_define import CANDefine
from selfdrive.car.volkswagen.values import DBC, CANBUS, NWL, TRANS, GEAR, BUTTON_STATES, CarCo... | [
11748,
299,
32152,
355,
45941,
198,
6738,
33158,
1330,
1097,
198,
6738,
2116,
19472,
13,
11250,
1330,
32200,
507,
355,
26196,
198,
6738,
2116,
19472,
13,
7718,
13,
3849,
32186,
1330,
1879,
9012,
14881,
198,
6738,
1034,
437,
15630,
13,
5... | 3.383838 | 99 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-06-03 06:27
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
2980,
515,
416,
37770,
352,
13,
1157,
319,
2864,
12,
3312,
12,
3070,
9130,
25,
1983,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
6738... | 2.933333 | 75 |
import debug
import random
main(5)
print("-" * 50)
main(10)
print("-" * 50)
main(15)
print("-" * 50)
main(20)
print("-" * 50)
main(30)
print("-" * 50) | [
198,
11748,
14257,
198,
11748,
4738,
198,
198,
12417,
7,
20,
8,
198,
4798,
7203,
21215,
1635,
2026,
8,
198,
198,
12417,
7,
940,
8,
198,
4798,
7203,
21215,
1635,
2026,
8,
198,
198,
12417,
7,
1314,
8,
198,
4798,
7203,
21215,
1635,
2... | 2.197183 | 71 |
#
# Valuation of Zero-Coupon Bonds
# in Cox-Ingersoll-Ross (1985) Model
# 09_gmm/CIR_zcb_valuation_gen.py
#
# (c) Dr. Yves J. Hilpisch
# Derivatives Analytics with Python
#
import math
import numpy as np
#
# Example Parameters CIR85 Model
#
r0, kappa_r, theta_r, sigma_r, t, T = 0.04, 0.3, 0.04, 0.1, 0.5, 5.0
#
# Zero... | [
2,
198,
2,
3254,
2288,
286,
12169,
12,
34,
10486,
261,
39161,
198,
2,
287,
18014,
12,
27682,
364,
692,
12,
38328,
357,
29110,
8,
9104,
198,
2,
7769,
62,
70,
3020,
14,
34,
4663,
62,
89,
21101,
62,
2100,
2288,
62,
5235,
13,
9078,
... | 2.01153 | 954 |
THIS.CODE.IS.UNDER.CONSTRUCTION
import tcp_helper as helper
import gen_rulemanager
#import protocol
helper_config = {
"mode": "client",
"address": None, # or IPv4/IPv6 address
"port": None, # TCP port,
"compression": False,
"fragmentation": False
}
rule_manager = XXX
rule_manager.Add({ rule_set }... | [
43559,
13,
34,
16820,
13,
1797,
13,
4944,
14418,
13,
10943,
46126,
2849,
198,
198,
11748,
48265,
62,
2978,
525,
355,
31904,
198,
11748,
2429,
62,
25135,
37153,
198,
2,
11748,
8435,
198,
198,
2978,
525,
62,
11250,
796,
1391,
198,
220,
... | 2.617073 | 410 |
#
# ---------------------------------------------------------
# Copyright 2018-present (c) Automatos Studios. All Rights Reserved.
# ---------------------------------------------------------
#
# @file data_provider.py
# @author cosmoplankton@automatos.studio
#
"""
DataProvider Implementation:
Imports the ... | [
2,
198,
2,
20368,
22369,
12,
198,
2,
15069,
2864,
12,
25579,
357,
66,
8,
17406,
35492,
13799,
13,
1439,
6923,
33876,
13,
198,
2,
20368,
22369,
12,
198,
2,
220,
198,
2,
2488,
7753,
220,
220,
220,
220,
220,
220,
1366,
62,
15234,
1... | 2.766055 | 436 |
import re
import os
import sys
from datetime import datetime
import numpy as np
import scipy.io as sio
import datajoint as dj
import tqdm
from . import (reference, utilities, acquisition, analysis)
schema = dj.schema(dj.config['custom'].get('database.prefix', '') + 'extracellular')
@schema
@schema
@schema
@s... | [
11748,
302,
198,
11748,
28686,
198,
11748,
25064,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
629,
541,
88,
13,
952,
355,
264,
952,
198,
11748,
1366,
73,
1563,
355,
42625,
198,
11748,
... | 2.963964 | 111 |
#!/usr/bin/env python
from datetime import datetime
import json
from fabric.api import local, require, settings, task
from fabric.state import env
from termcolor import colored
import app_config
# Other fabfiles
import ap
import assets
import daemons
import data
import instagram
import issues
import liveblog
import ... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
11748,
33918,
198,
198,
6738,
9664,
13,
15042,
1330,
1957,
11,
2421,
11,
6460,
11,
4876,
198,
6738,
9664,
13,
5219,
1330,
17365,
198,
6738,
338... | 2.558388 | 2,432 |
from __future__ import absolute_import, division, print_function, unicode_literals
from echomesh.color import GammaTable
from echomesh.util.thread import Lock
# See http://dev.moorescloud.com/2012/10/18/about-lpd8806-based-rgb-led-strips/
#
# Inspired by:
# https://github.com/adammhaile/RPi-LPD8806/blob/master/LPD880... | [
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
11,
7297,
11,
3601,
62,
8818,
11,
28000,
1098,
62,
17201,
874,
198,
198,
6738,
304,
354,
2586,
71,
13,
8043,
1330,
43595,
10962,
198,
6738,
304,
354,
2586,
71,
13,
22602,
13,
16663,
13... | 2.66129 | 124 |
# Import
import sys
sys.path.append("../")
# Import
from apm import *
# Select server
server = 'http://byu.apmonitor.com'
# Application name
app = 'nlc'
# Clear previous application
apm(server,app,'clear all')
# Load model file
apm_load(server,app,'tank.apm')
# Load time points for future predictions
csv_load(se... | [
2,
17267,
198,
11748,
25064,
198,
17597,
13,
6978,
13,
33295,
7203,
40720,
4943,
198,
198,
2,
17267,
198,
6738,
2471,
76,
1330,
1635,
198,
197,
198,
2,
9683,
4382,
198,
15388,
796,
705,
4023,
1378,
1525,
84,
13,
499,
41143,
13,
785,... | 2.471847 | 1,776 |
# Copyright 2020 - Nokia Software.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | [
2,
15069,
12131,
532,
26182,
10442,
13,
198,
2,
198,
2,
220,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,
220,
220,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
35... | 3.011472 | 523 |
# Copyright (c) Microsoft Corporation
# All rights reserved.
#
# MIT License
#
# 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... | [
2,
15069,
357,
66,
8,
5413,
10501,
198,
2,
1439,
2489,
10395,
13,
198,
2,
198,
2,
17168,
13789,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
198,
2,
284,
597,
1048,
16727,
257,
4866,
286,
428,
3788,
290... | 2.51988 | 2,339 |
# coding=utf-8
import os
import caffe
import yaml
import numpy as np
import numpy.random as npr
from utils.cython_bbox import bbox_overlaps
import json
DEBUG = False
import time
import sys
print sys.path
class LossTargetLayer(caffe.Layer):
"""
Assign anchors to ground-truth targets. Produces anchor classific... | [
2,
19617,
28,
40477,
12,
23,
198,
198,
11748,
28686,
198,
11748,
21121,
198,
11748,
331,
43695,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
299,
32152,
13,
25120,
355,
299,
1050,
198,
6738,
3384,
4487,
13,
948,
400,
261,
62,
65,
... | 2.135036 | 822 |
import pytest
import numpy as np
from h5py import Group, Dataset, SoftLink, ExternalLink
from h5preserve import RegistryContainer, HardLink, new_registry_list
def is_matching_hdf5_object(new, old):
"""
Check if two objects have the same hdf5 representation
"""
if type(new) != type(old):
retur... | [
11748,
12972,
9288,
198,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
289,
20,
9078,
1330,
4912,
11,
16092,
292,
316,
11,
8297,
11280,
11,
34579,
11280,
198,
198,
6738,
289,
20,
18302,
3760,
1330,
33432,
29869,
11,
6912,
11280,
11,
... | 2.227642 | 369 |
from microbench import MicroBench, MBNvidiaSmi
import subprocess
import unittest
import pandas
try:
subprocess.call(['nvidia-smi'])
nvidia_smi_available = True
except FileNotFoundError:
nvidia_smi_available = False
@unittest.skipIf(not nvidia_smi_available, 'nvidia-smi command not found')
| [
6738,
4580,
26968,
1330,
4527,
44199,
11,
10771,
45,
21744,
7556,
72,
198,
11748,
850,
14681,
198,
11748,
555,
715,
395,
198,
11748,
19798,
292,
198,
198,
28311,
25,
198,
220,
220,
220,
850,
14681,
13,
13345,
7,
17816,
77,
21744,
12,
... | 2.798165 | 109 |
'''
Extract results from the log files of Stanford sieve and put into a CSV file
Usage:
extract_results_stanford_sieve.py --out=<fn> <log_paths>...
'''
from utils import match_with_line_no, grouper
import re
from docopt import docopt
import pandas as pd
import os
if __name__ == '__main__':
args = docopt... | [
7061,
6,
198,
11627,
974,
2482,
422,
262,
2604,
3696,
286,
13863,
264,
12311,
290,
1234,
656,
257,
44189,
2393,
198,
198,
28350,
25,
198,
220,
7925,
62,
43420,
62,
14192,
3841,
62,
82,
12311,
13,
9078,
1377,
448,
28,
27,
22184,
29,
... | 2.622378 | 143 |
import gevent
import gevent.monkey
import socket
from time import sleep, time
import requests
import logging
from typing import List
import sys
import os
| [
11748,
4903,
1151,
198,
11748,
4903,
1151,
13,
49572,
198,
11748,
17802,
198,
198,
6738,
640,
1330,
3993,
11,
640,
198,
11748,
7007,
198,
11748,
18931,
198,
6738,
19720,
1330,
7343,
198,
11748,
25064,
198,
11748,
28686,
628,
198
] | 4.025641 | 39 |
import scrapy
from scrapy.loader import ItemLoader
from scrapy.exceptions import CloseSpider
from fbcrawl.spiders.fbcrawl import FacebookSpider
from fbcrawl.items import EventsItem, parse_date, parse_date2
from datetime import datetime
class EventsSpider(FacebookSpider):
"""
Parse FB events, given a page (ne... | [
11748,
15881,
88,
198,
198,
6738,
15881,
88,
13,
29356,
1330,
9097,
17401,
198,
6738,
15881,
88,
13,
1069,
11755,
1330,
13872,
41294,
198,
6738,
277,
15630,
13132,
13,
2777,
4157,
13,
69,
15630,
13132,
1330,
3203,
41294,
198,
6738,
277,... | 2.546185 | 249 |
import codecs
import os.path
from setuptools import find_packages, setup
with open("README.rst", "r") as fh:
long_description = fh.read()
setup(
name="massgenotyping",
version=get_version("massgenotyping/__init__.py"),
description=(
"Python package for microsatellite genotyping from amplic... | [
11748,
40481,
82,
198,
11748,
28686,
13,
6978,
198,
198,
6738,
900,
37623,
10141,
1330,
1064,
62,
43789,
11,
9058,
628,
628,
198,
4480,
1280,
7203,
15675,
11682,
13,
81,
301,
1600,
366,
81,
4943,
355,
277,
71,
25,
198,
220,
220,
220... | 2.258904 | 730 |
from .redis_tools import RedisInteraction
__all__ = ["RedisInteraction"]
| [
6738,
764,
445,
271,
62,
31391,
1330,
2297,
271,
9492,
2673,
198,
198,
834,
439,
834,
796,
14631,
7738,
271,
9492,
2673,
8973,
198
] | 3.083333 | 24 |
from setuptools import setup, find_packages
setup(
name='typogrify',
version='2.0.0',
packages=find_packages(),
author='Christian Metts',
author_email='xian@mintchaos.com',
license='BSD',
description='Typography related template filters for Django & Jinja2 applications',
url='https://g... | [
6738,
900,
37623,
10141,
1330,
9058,
11,
1064,
62,
43789,
628,
198,
40406,
7,
198,
220,
220,
220,
1438,
11639,
28004,
519,
81,
1958,
3256,
198,
220,
220,
220,
2196,
11639,
17,
13,
15,
13,
15,
3256,
198,
220,
220,
220,
10392,
28,
1... | 2.701068 | 281 |
#!/bin/python3
# Author: Igor Andruskiewitsch
# Notes: Custom commands for the Ranger terminal file manager
# -- IMPORTS
import os
import subprocess
import ranger
# -- COMMON CONSTANTS
NULL_ERR="2> /dev/null"
MATCH="\( -path '*/\.*' -o -fstype 'dev' -o -fstype 'proc' \)"
FIND="find -L {} {} -prune -o {} -print"
FZF... | [
2,
48443,
8800,
14,
29412,
18,
198,
2,
6434,
25,
46157,
843,
14932,
74,
769,
48279,
198,
2,
11822,
25,
8562,
9729,
329,
262,
21888,
12094,
2393,
4706,
198,
198,
2,
1377,
30023,
33002,
198,
198,
11748,
28686,
198,
11748,
850,
14681,
... | 2.421918 | 365 |
from fizz_buzz_tree.fizz_buzz_tree import fizz_buzz_tree
from tree.tree import Binary_Tree, TNode
import pytest
@pytest.fixture
@pytest.fixture
| [
6738,
277,
6457,
62,
65,
4715,
62,
21048,
13,
69,
6457,
62,
65,
4715,
62,
21048,
1330,
277,
6457,
62,
65,
4715,
62,
21048,
198,
6738,
5509,
13,
21048,
1330,
45755,
62,
27660,
11,
309,
19667,
198,
11748,
12972,
9288,
198,
198,
31,
... | 2.551724 | 58 |
F = ''
L = ''
S = input()
N = len(S)
M = [S[k+1] for k in range(N-2)]
F = S[0]
L = S[-1]
for k in range(3):
S = input()
for w in range(N-2):
M[w] += S[w+1]
F += S[0]
L += S[-1]
res = ''
for w in range(N-2):
res += chr((int(F)*int(M[w])+int(L))%257)
print(res)
| [
37,
796,
10148,
198,
43,
796,
10148,
198,
50,
796,
5128,
3419,
198,
45,
796,
18896,
7,
50,
8,
198,
44,
796,
685,
50,
58,
74,
10,
16,
60,
329,
479,
287,
2837,
7,
45,
12,
17,
15437,
198,
37,
796,
311,
58,
15,
60,
198,
43,
79... | 1.7 | 170 |
"""
Compute priorbox coordinates in center-offset(2D) form for each source feature map.
Attempt to modify SSD anchor to 3D(scale:w,h,d). Create two kind of cube(small,large) in every feature map cell.
Reference: https://github.com/amdegroot/ssd.pytorch/blob/master/layers/functions/prior_box.py
"""
from typing import L... | [
37811,
198,
7293,
1133,
3161,
3524,
22715,
287,
3641,
12,
28968,
7,
17,
35,
8,
1296,
329,
1123,
2723,
3895,
3975,
13,
198,
37177,
284,
13096,
21252,
18021,
284,
513,
35,
7,
9888,
25,
86,
11,
71,
11,
67,
737,
13610,
734,
1611,
286,... | 3.25463 | 216 |
import logging
import machine
import utime
from m5stack import lcd
# global variables
logger = None
# decoretor
# date time function
if __name__ == '__main__':
id = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
password = 'xxxxxxxxxxxx'
contract_amperage = "50"
collect_date = "22"
bp35a1 = BP... | [
11748,
18931,
198,
11748,
4572,
198,
11748,
3384,
524,
198,
6738,
285,
20,
25558,
1330,
300,
10210,
198,
198,
2,
3298,
9633,
198,
198,
6404,
1362,
796,
6045,
198,
198,
2,
875,
9997,
273,
628,
628,
198,
198,
2,
3128,
640,
2163,
628,
... | 2.605809 | 241 |
import logging
import pandas as pd
import spatialHeterogeneity as sh
from spatialHeterogeneity.neighborhood.utils import get_node_interactions
from networkx import Graph
import numpy as np
import spatialHeterogeneity as sh
from spatialHeterogeneity.graph_builder.constants import GRAPH_BUILDER_DEFAULT_PARAMS
import ma... | [
11748,
18931,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
11748,
21739,
39,
2357,
37477,
355,
427,
198,
6738,
21739,
39,
2357,
37477,
13,
710,
394,
2865,
2894,
13,
26791,
1330,
651,
62,
17440,
62,
3849,
4658,
198,
6738,
3127,... | 2.371429 | 2,310 |
import os
import sys
import argparse
import cv2
from tqdm import tqdm
from ssds.ssds import SSDDetector
COLORS = [(255, 0, 0), (0, 255, 0), (0, 0, 255)]
FONT = cv2.FONT_HERSHEY_SIMPLEX
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Demo a ssds.pytorch network')
parser.add_argument(... | [
11748,
28686,
198,
11748,
25064,
198,
11748,
1822,
29572,
198,
198,
11748,
269,
85,
17,
198,
6738,
256,
80,
36020,
1330,
256,
80,
36020,
198,
6738,
37786,
9310,
13,
824,
9310,
1330,
21252,
11242,
9250,
198,
198,
25154,
20673,
796,
47527... | 2.46 | 450 |
__author__ = 'fthiele'
data = {
'level 1-1':
{
'level 1-1-1':
{
'a': 1,
'b': 2,
'c': 3,
},
'level 1-1-2':
{
'd': 4,
'e': 5,
... | [
834,
9800,
834,
796,
705,
69,
400,
494,
293,
6,
198,
198,
7890,
796,
1391,
198,
220,
220,
220,
705,
5715,
352,
12,
16,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
... | 1.217518 | 685 |
from .connected_components import find_dense_subgraphs
| [
6738,
764,
15236,
62,
5589,
3906,
1330,
1064,
62,
67,
1072,
62,
7266,
34960,
82,
198
] | 3.4375 | 16 |
import torch
class PSNR:
"""Peak Signal to Noise Ratio
img1 and img2 have range [0, 255]"""
@staticmethod
if __name__ == '__main__':
i = torch.randn(1, 3, 20, 20)
j = i / 1.000001
p = PSNR()
print(p(i, j).item())
| [
11748,
28034,
628,
198,
198,
4871,
6599,
24723,
25,
198,
220,
220,
220,
37227,
6435,
461,
26484,
284,
30964,
33956,
198,
220,
220,
220,
33705,
16,
290,
33705,
17,
423,
2837,
685,
15,
11,
14280,
60,
37811,
628,
220,
220,
220,
2488,
1... | 2.225225 | 111 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import filer.fields.image
import django.db.models.deletion
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
11,
15720,
602,
198,
11748,
1226,
263,
13,
25747,
13,
906... | 2.912281 | 57 |
import pandas as pd
from wind_power_forecasting import TIME_LABEL, NWP_PREFIX
from wind_power_forecasting.utils.dataframe import extract_columns
| [
11748,
19798,
292,
355,
279,
67,
198,
198,
6738,
2344,
62,
6477,
62,
754,
19913,
1330,
20460,
62,
48780,
3698,
11,
21966,
47,
62,
47,
31688,
10426,
198,
6738,
2344,
62,
6477,
62,
754,
19913,
13,
26791,
13,
7890,
14535,
1330,
7925,
6... | 3.125 | 48 |
from settings.globalsettings import GlobalSettings
globalsettings = GlobalSettings()
AWS_ACCOUNT_ID = globalsettings.AWS_ACCOUNT_ID
AWS_REGION = globalsettings.AWS_REGION
def code_build_batch_policy_in_json(project_ids):
"""
Define an IAM policy statement for CodeBuild batch operation.
:param project_id... | [
6738,
6460,
13,
4743,
672,
874,
12374,
1330,
8060,
26232,
198,
198,
4743,
672,
874,
12374,
796,
8060,
26232,
3419,
198,
198,
12298,
50,
62,
26861,
28270,
62,
2389,
796,
15095,
874,
12374,
13,
12298,
50,
62,
26861,
28270,
62,
2389,
198... | 1.91472 | 2,568 |
import asyncio
import random
import typing
from abc import ABC, abstractmethod
from datetime import datetime, timedelta
from enum import Enum, auto
import discord
from redbot.core import Config
from redbot.core.bot import Red
from redbot.core.config import Group
from . import constants, utils
from .recipe_provider im... | [
11748,
30351,
952,
198,
11748,
4738,
198,
11748,
19720,
198,
6738,
450,
66,
1330,
9738,
11,
12531,
24396,
198,
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
198,
6738,
33829,
1330,
2039,
388,
11,
8295,
198,
198,
11748,
36446,
19... | 3.612245 | 98 |
# testExplorer -
import string
import sys
import os
import win32com.client.dynamic
import win32api
import glob
import pythoncom
import time
from util import CheckClean
bVisibleEventFired = 0
if __name__=='__main__':
TestAll()
CheckClean()
| [
2,
1332,
18438,
11934,
532,
201,
198,
201,
198,
11748,
4731,
201,
198,
11748,
25064,
201,
198,
11748,
28686,
201,
198,
11748,
1592,
2624,
785,
13,
16366,
13,
67,
28995,
201,
198,
11748,
1592,
2624,
15042,
201,
198,
11748,
15095,
201,
... | 2.637255 | 102 |
"""
Find diffusion coefficients
"""
import numpy as np
import apl104lib as apl104
from scipy.optimize import minimize
import copy
exec(open('refsample.py').read())
exec(open('expsample.py').read())
# Define problem
# Optimization routine
guess=np.array([7.04998003e-03, 8.69586536e-03, 4.61830549e-0... | [
37811,
201,
198,
9938,
44258,
44036,
201,
198,
37811,
201,
198,
201,
198,
11748,
299,
32152,
355,
45941,
201,
198,
11748,
257,
489,
13464,
8019,
355,
257,
489,
13464,
201,
198,
6738,
629,
541,
88,
13,
40085,
1096,
1330,
17775,
201,
19... | 2.165517 | 290 |
from entrypoint import entrypoint, is_main
from tests.track import track
MAIN = "__main__"
TEST = "__test__"
entrypoint_call = entrypoint(MAIN)
entrypoint_no_call = entrypoint(TEST)
| [
6738,
5726,
4122,
1330,
5726,
4122,
11,
318,
62,
12417,
198,
6738,
5254,
13,
11659,
1330,
2610,
198,
198,
5673,
1268,
796,
366,
834,
12417,
834,
1,
198,
51,
6465,
796,
366,
834,
9288,
834,
1,
628,
198,
198,
13000,
4122,
62,
13345,
... | 2.863636 | 66 |
import configparser
| [
11748,
4566,
48610,
198
] | 5 | 4 |
from discord.ext import ipc
from quart import (Quart, Response, abort, redirect, render_template, request,
url_for)
from quart_auth import AuthManager, AuthUser, Unauthorized
from quart_auth import login_required as auth_required
from quart_auth import login_user, logout_user
from quart_discord impor... | [
6738,
36446,
13,
2302,
1330,
20966,
66,
198,
6738,
28176,
1330,
357,
4507,
433,
11,
18261,
11,
15614,
11,
18941,
11,
8543,
62,
28243,
11,
2581,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
22... | 2.563055 | 563 |
import controllers.base
| [
11748,
20624,
13,
8692,
198
] | 4.8 | 5 |
import aiohttp
from .exception import InvalidAPIKeyError, APIError, NotRegistered, BadRequest
from .objects.leaderboards import Leaderboards
from .objects.ranking import Ranking
from .objects.player import Player, Formatted
from .objects.api import Stats, Key
from .utils import DEFAULT
##########################... | [
11748,
257,
952,
4023,
198,
198,
6738,
764,
1069,
4516,
1330,
17665,
17614,
9218,
12331,
11,
7824,
12331,
11,
1892,
47473,
11,
7772,
18453,
198,
6738,
764,
48205,
13,
27940,
12821,
1330,
10540,
12821,
198,
6738,
764,
48205,
13,
28405,
1... | 2.094851 | 369 |
from django.db import models
# ---------- ---------- ----------
# ---------- ---------- ----------
# ---------- ---------- ----------
# ---------- ---------- ----------
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
198,
2,
24200,
438,
24200,
438,
24200,
438,
198,
2,
24200,
438,
24200,
438,
24200,
438,
198,
198,
2,
24200,
438,
24200,
438,
24200,
438,
198,
2,
24200,
438,
24200,
438,
24200,
438,
628,
... | 3.765957 | 47 |
#The MIT License (MIT)
#
#Copyright (c) 2015 Geoffroy Givry
#
#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, m... | [
2,
464,
17168,
13789,
357,
36393,
8,
201,
198,
2,
201,
198,
2,
15269,
357,
66,
8,
1853,
24688,
3287,
402,
452,
563,
201,
198,
2,
201,
198,
2,
5990,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
486... | 3.422156 | 334 |
import sys
import time
import telepot
from telepot.loop import MessageLoop
import pyrebase
subbed = []
TOKEN = ""
config = {
"apiKey": "",
"authDomain": "clusterscanner.firebaseio.com",
"databaseURL": "https://clusterscanner.firebaseio.com",
"storageBucket": "clusterscanner.appspot.com"
}
firebase =... | [
11748,
25064,
198,
11748,
640,
198,
11748,
5735,
13059,
198,
6738,
5735,
13059,
13,
26268,
1330,
16000,
39516,
198,
11748,
12972,
260,
8692,
198,
198,
7266,
3077,
796,
17635,
198,
198,
10468,
43959,
796,
13538,
198,
198,
11250,
796,
1391,... | 2.791667 | 264 |
#
# Copyright (c) 2019. JetBrains s.r.o.
# Use of this source code is governed by the MIT license that can be found in the LICENSE file.
#
from typing import Dict, Tuple
from ._frontend_ctx import FrontendContext
from ._mime_types import LETS_PLOT_JSON
from .._type_utils import standardize_dict
| [
2,
198,
2,
15069,
357,
66,
8,
13130,
13,
19013,
9414,
1299,
264,
13,
81,
13,
78,
13,
198,
2,
5765,
286,
428,
2723,
2438,
318,
21825,
416,
262,
17168,
5964,
326,
460,
307,
1043,
287,
262,
38559,
24290,
2393,
13,
198,
2,
198,
198,... | 3.191489 | 94 |
# -*- coding:utf-8 -*-
citys = {
'kunming': {
'country': 'China',
'population': 14000000,
'fact': 'elephint in kunming',
},
'beijing': {
'country': 'China',
'population': 2400000,
'fact': 'changcheng in beijing',
},
'shanghai': {
'country': 'C... | [
2,
532,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
198,
19205,
82,
796,
1391,
198,
220,
220,
220,
705,
28374,
2229,
10354,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
705,
19315,
10354,
705,
14581,
3256,
198,
220,
220,
... | 2.185567 | 291 |
import algorithms
import bounds
#Nodes should be a dictionary of key value pairing : node num to xy coordinates
#Edges are implied in the adjacency matrix
#Adjacency matrix will be n x n; where n is the number of nodes
| [
11748,
16113,
198,
11748,
22303,
198,
197,
2,
45,
4147,
815,
307,
257,
22155,
286,
1994,
1988,
27356,
1058,
10139,
997,
284,
2124,
88,
22715,
198,
197,
2,
7407,
3212,
389,
17142,
287,
262,
9224,
330,
1387,
17593,
220,
198,
197,
2,
2... | 3.733333 | 60 |
# -*- coding:utf8
import itertools
import time
import sys
alphabet = u' !"#$%&\'()*+,-./:;<=>?@[\]^_`{£}~0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyzϕϴΩβε'
alphabet_length = len(alphabet)
example_key = {alphabet[i]: alphabet[(i + 32) % alphabet_length] for i in xrange(alphabet_length)}
if __name__ ... | [
2,
532,
9,
12,
19617,
25,
40477,
23,
198,
11748,
340,
861,
10141,
198,
11748,
640,
198,
11748,
25064,
198,
198,
17307,
8380,
796,
334,
6,
220,
2474,
29953,
4,
5,
43054,
3419,
9,
10,
12095,
19571,
25,
26,
27,
14804,
30,
31,
58,
5... | 2.142857 | 161 |
import os
| [
11748,
28686,
628,
198
] | 3 | 4 |
############################
# Module: ICT1002 #
# Language: Python2 #
# Lab Exercise 1-1 #
# Done By: bitxer #
############################
if __name__ == '__main__':
main()
| [
14468,
7804,
4242,
198,
2,
19937,
25,
314,
4177,
3064,
17,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
198,
2,
15417,
25,
11361,
17,
220,
220,
220,
220,
220,
220,
220,
1303,
198,
2,
3498,
32900,
352,
12,
16,
220,
220,
220... | 2.315217 | 92 |
#!/usr/bin/env python
# encoding: utf-8
"""
@version: v1.0
@author: Shijie Qin
@license: Apache Licence
@contact: qsj4work@gmail.com
@site: https://shijieqin.github.io
@software: PyCharm
@file: xmlrpc.py
@time: 2018/11/8 3:16 PM
"""
import xmlrpc.client
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
220,
220,
198,
2,
21004,
25,
3384,
69,
12,
23,
220,
198,
198,
37811,
220,
198,
31,
9641,
25,
410,
16,
13,
15,
220,
198,
31,
9800,
25,
911,
2926,
494,
31482,
220,
198,
31,
43085,
25,
... | 2.214876 | 121 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
from datetime import timedelta
try:
from urllib.parse import urlparse
except ImportError: # python2
from urlparse import urlparse
import requests
from django.conf import settings
from django.db import models, transaction
from d... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
11748,
18931,
198,
198,
6738,
4818,
8079,
1330,
28805,
12514,
198,
198,
28311,
25,
198,
220,
220,
2... | 3.252941 | 170 |
import logging
logger = logging.getLogger(__name__)
| [
11748,
18931,
628,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
628,
628
] | 3 | 19 |
import numpy as np
from scipy import stats
from copy import copy
import csv
import math
import pandas as pd
"""
Get the unique values for each column in a dataset.
- value_dic = {col_num:{row_value:index}}
"""
"""
Takes a dataset of strings and returns the
integer mapping of the string values.
- return_dic: True - ... | [
11748,
299,
32152,
355,
45941,
198,
6738,
629,
541,
88,
1330,
9756,
198,
6738,
4866,
1330,
4866,
198,
11748,
269,
21370,
198,
11748,
10688,
198,
11748,
19798,
292,
355,
279,
67,
628,
198,
37811,
198,
3855,
262,
3748,
3815,
329,
1123,
... | 3.3 | 190 |
from pycsp3.problems.data.parsing import *
next_line()
data["height"] = next_int()
data["width"] = next_int()
next_line()
nBugTypes = next_int()
next_line()
bugTypesLength = [next_int() for i in range(nBugTypes)];
next_line()
nBugs = next_int()
next_line()
data["bugs"] = []
data["bugTypes"] = []
lst = [False] * nB... | [
6738,
12972,
66,
2777,
18,
13,
1676,
22143,
13,
7890,
13,
79,
945,
278,
1330,
1635,
198,
198,
19545,
62,
1370,
3419,
198,
7890,
14692,
17015,
8973,
796,
1306,
62,
600,
3419,
198,
7890,
14692,
10394,
8973,
796,
1306,
62,
600,
3419,
1... | 2.492424 | 264 |
# 使用注册的方法来实现虚拟子类有两种方法:一个是使用修饰器,一个是使用register函数
import sys
sys.path.extend(r'/Users/liuzhongkai/Documents/Git/PythonScript/FluentPython/chapter11_Tombola/')
from random import randrange
from tombola import Tombola
# 使用第一种方法
@Tombola.register # 使用基类的register修饰器来创建虚拟子类
| [
2,
220,
45635,
18796,
101,
37345,
101,
37863,
234,
21410,
43095,
37345,
243,
30266,
98,
22522,
252,
163,
236,
108,
164,
247,
248,
162,
233,
253,
36310,
163,
109,
119,
17312,
231,
10310,
97,
163,
100,
235,
43095,
37345,
243,
171,
120,
... | 1.40625 | 192 |
# coding: utf-8
#-------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#----------------------------------------------------------------------... | [
2,
19617,
25,
3384,
69,
12,
23,
198,
198,
2,
10097,
45537,
198,
2,
15069,
357,
66,
8,
5413,
10501,
13,
1439,
2489,
10395,
13,
198,
2,
49962,
739,
262,
17168,
13789,
13,
4091,
13789,
13,
14116,
287,
262,
1628,
6808,
329,
198,
2,
... | 3.535849 | 265 |
from django.urls import path
from django.views.decorators.csrf import csrf_exempt
from graphene_django.views import GraphQLView
from api.schema import schema
urlpatterns = [
path(
"graphql",
csrf_exempt(
GraphQLView.as_view(graphiql=True, schema=schema))
),
]
| [
6738,
42625,
14208,
13,
6371,
82,
1330,
3108,
198,
6738,
42625,
14208,
13,
33571,
13,
12501,
273,
2024,
13,
6359,
41871,
1330,
269,
27891,
69,
62,
42679,
198,
6738,
42463,
62,
28241,
14208,
13,
33571,
1330,
29681,
9711,
7680,
198,
198,
... | 2.365079 | 126 |
#!/usr/bin/env python
"""
Parse novoalign log, write out qc and post to database
usage:
author: chase.mateusiak@gmail.com
output: {'librarySize': 35003, 'uniqueAlignment': 22737, 'multiMap': 1986, 'noMap': 10233, 'homopolymerFilter': 47, 'readLengthFilter': 0}
output: parsed novoalign log as csv
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
37811,
198,
220,
220,
220,
2547,
325,
645,
13038,
31494,
2604,
11,
3551,
503,
10662,
66,
290,
1281,
284,
6831,
198,
220,
220,
220,
8748,
25,
198,
220,
220,
220,
1772,
25,
15505,... | 2.500454 | 1,101 |
#!/usr/bin/env python
"""
Parsing GO Accession from a table file produced by InterProScan and mapping to GOSlim.
(c) Chien-Yueh Lee 2018 / MIT Licence
kinomoto[AT]sakura[DOT]idv[DOT]tw
"""
from __future__ import print_function
from os import path
import sys
import pandas as pd
from goatools.obo_parser import GODag
fro... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
37811,
198,
47,
945,
278,
10351,
8798,
295,
422,
257,
3084,
2393,
4635,
416,
4225,
2964,
33351,
290,
16855,
284,
402,
2640,
2475,
13,
198,
7,
66,
8,
609,
2013,
12,
56,
518,
71,
574... | 2.645743 | 1,386 |
import socket
from core.redis import rds
from core.triage import Triage
from core.parser import ScanParser
from db.db_ports import database_ports
| [
11748,
17802,
198,
198,
6738,
4755,
13,
445,
271,
220,
220,
1330,
374,
9310,
198,
6738,
4755,
13,
83,
4087,
220,
1330,
309,
4087,
198,
6738,
4755,
13,
48610,
220,
1330,
20937,
46677,
198,
6738,
20613,
13,
9945,
62,
3742,
220,
1330,
... | 3.183673 | 49 |
# from functools import reduce
wordlen = [2,3,4,2]
sum = reduce(lambda x,y : x+y ,wordlen )
print(sum)
print(sum/len(wordlen))
| [
2,
422,
1257,
310,
10141,
1330,
4646,
198,
4775,
11925,
796,
685,
17,
11,
18,
11,
19,
11,
17,
60,
198,
16345,
796,
4646,
7,
50033,
2124,
11,
88,
1058,
2124,
10,
88,
837,
4775,
11925,
1267,
198,
4798,
7,
16345,
8,
197,
198,
4798,... | 2.37037 | 54 |
import sys
import requests
import urllib.request as urllib2
import json
from json import JSONDecodeError
HOST = 'localhost'
IP=HOST # temporary
PORT = 1234
VERSION = 'v1'
BASE_URL = 'http://' + HOST + ':' + str(PORT) + '/' + VERSION + '/'
HEADERS = {'Content-Type': 'application/json'}
VERBOSE=False
SUID_LIST = '... | [
11748,
25064,
198,
11748,
7007,
198,
11748,
2956,
297,
571,
13,
25927,
355,
2956,
297,
571,
17,
197,
197,
198,
11748,
33918,
628,
198,
6738,
33918,
1330,
19449,
10707,
1098,
12331,
198,
198,
39,
10892,
796,
705,
36750,
6,
198,
4061,
2... | 2.074314 | 2,005 |
# python3
# Copyright 2021 InstaDeep Ltd. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | [
2,
21015,
18,
198,
2,
15069,
33448,
2262,
64,
29744,
12052,
13,
1439,
2489,
10395,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
284... | 2.142239 | 6,932 |
from SteeringModule.Steering import Steering
import time
steer=Steering(14,0,180,15,90,180,36,160)
steer.setup()
time.sleep(2)
for i in range(0,900):
steer.Up()
for i in range(0,900):
steer.Down()
for i in range(0,900):
steer.Left()
for i in range(0,900):
steer.Right()
steer.specify(80,120)
steer.specify(20,100... | [
6738,
2441,
1586,
26796,
13,
7447,
1586,
1330,
2441,
1586,
198,
11748,
640,
198,
4169,
263,
28,
7447,
1586,
7,
1415,
11,
15,
11,
15259,
11,
1314,
11,
3829,
11,
15259,
11,
2623,
11,
14198,
8,
198,
4169,
263,
13,
40406,
3419,
198,
2... | 2.220859 | 163 |
# coding=utf-8
import struct
import datetime
from abc import ABCMeta, abstractmethod
from weakref import WeakKeyDictionary
class DWORDValue(object):
"""A descriptor for DWORD values"""
class WORDValue(object):
"""A descriptor for WORD values"""
class BYTEValue(object):
"""A descriptor for ... | [
2,
19617,
28,
40477,
12,
23,
201,
198,
11748,
2878,
201,
198,
11748,
4818,
8079,
201,
198,
6738,
450,
66,
1330,
9738,
48526,
11,
12531,
24396,
201,
198,
6738,
4939,
5420,
1330,
28788,
9218,
35,
14188,
201,
198,
201,
198,
4871,
29652,
... | 2.080852 | 3,661 |
import json
from oic import rndstr
from oic.utils.keyio import build_keyjar
from otest.check import ERROR
from otest.test_setup import setup_conv
from oidctest.op.func import check_support
from oidctest.op.func import claims_locales
from oidctest.op.func import login_hint
from oidctest.op.func import store_sector_red... | [
11748,
33918,
198,
198,
6738,
267,
291,
1330,
374,
358,
2536,
198,
6738,
267,
291,
13,
26791,
13,
2539,
952,
1330,
1382,
62,
2539,
9491,
198,
6738,
267,
9288,
13,
9122,
1330,
33854,
198,
6738,
267,
9288,
13,
9288,
62,
40406,
1330,
9... | 2.648469 | 751 |
# Import In-Built Modules
import logging
import asyncio
import aiopg.sa
from motor.motor_asyncio import AsyncIOMotorClient
from pymongo import MongoClient
from aiohttp import web
log = logging.getLogger(__name__)
async def init_pg(app: web.Application) -> None:
"""
A function that, when the server is started,... | [
2,
17267,
554,
12,
39582,
3401,
5028,
198,
11748,
18931,
198,
11748,
30351,
952,
198,
11748,
257,
14922,
70,
13,
11400,
198,
6738,
5584,
13,
76,
20965,
62,
292,
13361,
952,
1330,
1081,
13361,
40,
2662,
20965,
11792,
198,
6738,
279,
49... | 2.394252 | 1,357 |
import maya.cmds as mc
import glTools.utils.attribute
import types
class Remap(object):
'''
Object wrapper for remapValue node in Maya.
'''
# CONSTANTS
_REMAPSUFFIX = 'remap'
def __init__( self,
remapName,
inputValue = None,
inputMin = None,
inputMax = None,
outputMin = None,
... | [
11748,
743,
64,
13,
28758,
82,
355,
36650,
198,
198,
11748,
1278,
33637,
13,
26791,
13,
42348,
198,
198,
11748,
3858,
198,
198,
4871,
3982,
499,
7,
15252,
2599,
198,
197,
7061,
6,
198,
197,
10267,
29908,
329,
816,
499,
11395,
10139,
... | 2.716359 | 3,032 |
import spacy
nlp = spacy.load('en_core_web_sm')
path = './GMVbQ1UsMp8.txt'
with open(path, 'r') as file_to_read:
subtitle = file_to_read.read()
doc = nlp(subtitle)
candidate_captions = []
for np in doc.noun_chunks:
print(np.text)
candidate_captions.append(np.text)
import clip
import torch
from torchvis... | [
11748,
599,
1590,
198,
21283,
79,
796,
599,
1590,
13,
2220,
10786,
268,
62,
7295,
62,
12384,
62,
5796,
11537,
198,
6978,
796,
705,
19571,
15548,
53,
65,
48,
16,
5842,
28861,
23,
13,
14116,
6,
198,
4480,
1280,
7,
6978,
11,
705,
81,... | 2.738617 | 593 |
# Generated by Django 3.1.2 on 2020-10-27 20:31
from django.db import migrations
| [
2,
2980,
515,
416,
37770,
513,
13,
16,
13,
17,
319,
12131,
12,
940,
12,
1983,
1160,
25,
3132,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
628
] | 2.766667 | 30 |
from abc import ABC
from wai.common.decorator import ensure_error_type
from ..error import JSONSerialisationError
from ._JSONSerialisable import JSONSerialisable
from ._JSONDeserialisable import JSONDeserialisable, SelfType
class JSONBiserialisable(JSONSerialisable, JSONDeserialisable[SelfType], ABC):
"""
I... | [
6738,
450,
66,
1330,
9738,
198,
198,
6738,
266,
1872,
13,
11321,
13,
12501,
273,
1352,
1330,
4155,
62,
18224,
62,
4906,
198,
198,
6738,
11485,
18224,
1330,
19449,
32634,
5612,
12331,
198,
6738,
47540,
40386,
32634,
43942,
1330,
19449,
3... | 2.968254 | 315 |
"""
Core USB packet sniffer packet backend for OpenVizsla.
"""
import crcmod
from enum import IntFlag
from .protocol import OVPacketHandler
class USBEventFlags(IntFlag):
""" Enum representing the various flags an OV device can attach to a packet. """
# Physical layer error
ERROR = 0x01
# RX Path... | [
37811,
198,
14055,
8450,
19638,
26300,
263,
19638,
30203,
329,
4946,
53,
528,
82,
5031,
13,
198,
37811,
198,
198,
11748,
1067,
66,
4666,
198,
198,
6738,
33829,
1330,
2558,
34227,
198,
6738,
764,
11235,
4668,
1330,
440,
8859,
8317,
25060... | 2.428675 | 1,374 |
from ..losses.cross_entropy import CrossEntropyLoss
from ..losses.euclidean import EuclideanLoss
from ..losses.angular import AngularLoss
from ..losses.mse import MSELoss
from ..losses.l1 import L1Loss
__all__ = ('CrossEntropyLoss', 'EuclideanLoss', 'AngularLoss', 'MSELoss', 'L1Loss') | [
6738,
11485,
22462,
274,
13,
19692,
62,
298,
28338,
1330,
6372,
14539,
28338,
43,
793,
198,
6738,
11485,
22462,
274,
13,
12496,
565,
485,
272,
1330,
48862,
485,
272,
43,
793,
198,
6738,
11485,
22462,
274,
13,
21413,
1330,
28147,
43,
7... | 2.72381 | 105 |
#
# Copyright 2014-2018 Neueda Ltd.
#
import Config
props = Config.properties ()
print props.getKeys ()
try:
print props['invalid-key']
except Exception as e:
print e
props['test'] = '1234'
print props['test']
| [
2,
198,
2,
15069,
1946,
12,
7908,
3169,
1739,
64,
12052,
13,
198,
2,
198,
11748,
17056,
628,
198,
1676,
862,
796,
17056,
13,
48310,
7499,
198,
4798,
25744,
13,
1136,
40729,
7499,
198,
198,
28311,
25,
198,
220,
220,
220,
3601,
25744,... | 2.7875 | 80 |
import frappe
# @frappe.whitelist()
# # def get_wallet():
# # s = frappe.db.get_list('Wallet Transaction', filters={
# # 'docstatus': 1}, fields=['name', 'date', 'customer_name', 'product_price'])
# # return s
| [
11748,
5306,
27768,
201,
198,
201,
198,
201,
198,
2,
2488,
69,
430,
27768,
13,
1929,
270,
46331,
3419,
201,
198,
2,
1303,
825,
651,
62,
44623,
33529,
201,
198,
2,
1303,
220,
220,
220,
220,
264,
796,
5306,
27768,
13,
9945,
13,
1136... | 2.313725 | 102 |
##############################################################################
# Compute rank statistics
# WARNING: will download about 28 Go of data
# Authored by Ammar Mian, 10/01/2019
# e-mail: ammar.mian@centralesupelec.fr
# Modified by Antoine Collas, 10/2019
# e-mail: antoine.collas@centralesupelec.fr
###########... | [
29113,
29113,
7804,
4242,
2235,
198,
2,
3082,
1133,
4279,
7869,
198,
2,
39410,
25,
481,
4321,
546,
2579,
1514,
286,
1366,
198,
2,
26828,
1850,
416,
1703,
3876,
337,
666,
11,
838,
14,
486,
14,
23344,
198,
2,
304,
12,
4529,
25,
716,... | 2.696327 | 1,225 |
# The following comments couldn't be translated into the new config version:
#cms_conditions_data/CMS_COND_20X_RPC"
import FWCore.ParameterSet.Config as cms
#
#RPC calibrations
#For now, no t0 corrections are applied in the reconstruction if fake calibration is used
#(the replace should be moved to main cfg in order ... | [
2,
383,
1708,
3651,
3521,
470,
307,
14251,
656,
262,
649,
4566,
2196,
25,
198,
198,
2,
46406,
62,
17561,
1756,
62,
7890,
14,
34,
5653,
62,
10943,
35,
62,
1238,
55,
62,
49,
5662,
1,
198,
11748,
48849,
14055,
13,
36301,
7248,
13,
... | 3.116883 | 154 |
from django.db import models
from django.contrib.auth.models import User
# Location class, used to determine from wich actual pos location the cashier
# is working (ex. Bar, restaurant, ...)
# Category class, used as a container for different type of items, related by
# area (ex. Kitchen, beverages, ...)
# Item cla... | [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
11787,
628,
198,
2,
13397,
1398,
11,
973,
284,
5004,
422,
266,
488,
4036,
1426,
4067,
262,
5003,
959,
198,
2,
318,
1762,
3... | 3.736486 | 148 |
#!/usr/bin/env python3
#coding=utf-8
import numpy as np
import time
from math import cos, sin, sqrt, pi, atan, asin, atan, atan2
from scipy.optimize import least_squares
from scipy.spatial.transform import Rotation
from angles import normalize_angle
import rospy
from origarm_ros.srv import ik
from origarm_ros.msg impo... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
66,
7656,
28,
40477,
12,
23,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
640,
198,
6738,
10688,
1330,
8615,
11,
7813,
11,
19862,
17034,
11,
31028,
11,
379,
272,
11,
... | 2.568627 | 204 |
import sys
import time
from pandalogger.PandaLogger import PandaLogger
from config import panda_config
import re
from re import error as ReError
# logger
_logger = PandaLogger().getLogger('RetrialModule')
NO_RETRY = 'no_retry'
INCREASE_MEM = 'increase_memory'
LIMIT_RETRY = 'limit_retry'
INCREASE_CPU = 'increase_cputim... | [
11748,
25064,
198,
11748,
640,
198,
6738,
279,
7642,
519,
1362,
13,
47,
5282,
11187,
1362,
1330,
41112,
11187,
1362,
198,
6738,
4566,
1330,
279,
5282,
62,
11250,
198,
11748,
302,
198,
6738,
302,
1330,
4049,
355,
797,
12331,
198,
2,
49... | 2.076221 | 6,022 |
'''
Implementation of Compositional Pattern Producing Networks in Tensorflow
https://en.wikipedia.org/wiki/Compositional_pattern-producing_network
@hardmaru, 2016
Sampler Class
This file is meant to be run inside an IPython session, as it is meant
to be used interacively for experimentation.
It shouldn't be that h... | [
7061,
6,
198,
3546,
32851,
286,
29936,
1859,
23939,
21522,
2259,
27862,
287,
309,
22854,
11125,
198,
198,
5450,
1378,
268,
13,
31266,
13,
2398,
14,
15466,
14,
5377,
1930,
1859,
62,
33279,
12,
36866,
62,
27349,
198,
198,
31,
10424,
387... | 3.123636 | 275 |
from flask import Flask, request, jsonify
from gevent.pywsgi import WSGIServer
import traceback
import uuid
import os
from logger import logger
from boundingRect import detect
import cv2
app = Flask(__name__)
@app.route('/identifyDirection', methods=['POST'])
def get_direction():
"""
图片方向识别
:return:
... | [
6738,
42903,
1330,
46947,
11,
2581,
11,
33918,
1958,
198,
6738,
4903,
1151,
13,
9078,
18504,
12397,
1330,
25290,
38,
1797,
18497,
198,
11748,
12854,
1891,
198,
11748,
334,
27112,
198,
11748,
28686,
198,
6738,
49706,
1330,
49706,
198,
6738... | 1.992832 | 837 |
"""CHAPTER 29
WIND LOADS ON BUILDING APPURTENANCES AND OTHER STRUCTURES:
MAIN WIND FORCE RESISTING SYSTEM (DIRECTIONAL PROCEDURE)
• Basic wind speed, V (Section 26.5);
• Wind directionality factor, Kd (Section 26.6);
• Exposure category (Section 26.7);
• Topographic factor, Kzt (Section 26.8);
• Ground elevation facto... | [
37811,
41481,
2808,
198,
28929,
17579,
47149,
6177,
20571,
26761,
2751,
43504,
4261,
51,
1677,
20940,
1546,
5357,
25401,
19269,
18415,
29514,
25,
198,
5673,
1268,
370,
12115,
7473,
5222,
15731,
8808,
2751,
36230,
357,
17931,
23988,
2849,
18... | 1.896047 | 3,415 |
#!/usr/bin/env python
# Copyright (c) 2019-2021 Gabriel Sanhueza.
#
# Distributed under the MIT License.
# See LICENSE for more info.
import numpy as np
from colour import Color
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
220,
15069,
357,
66,
8,
13130,
12,
1238,
2481,
17371,
2986,
71,
518,
4496,
13,
198,
2,
198,
2,
220,
4307,
6169,
739,
262,
17168,
13789,
13,
198,
2,
220,
4091,
38559,
24290,... | 2.882353 | 68 |
#
# This file is part of pyasn1-modules software.
#
# Created by Russ Housley
# Copyright (c) 2019, Vigil Security, LLC
# License: http://snmplabs.com/pyasn1/license.html
#
import sys
import unittest
from pyasn1.codec.der.decoder import decode as der_decoder
from pyasn1.codec.der.encoder import encode as der_encoder
f... | [
2,
198,
2,
770,
2393,
318,
636,
286,
12972,
292,
77,
16,
12,
18170,
3788,
13,
198,
2,
198,
2,
15622,
416,
1887,
367,
516,
1636,
198,
2,
15069,
357,
66,
8,
13130,
11,
39840,
4765,
11,
11419,
198,
2,
13789,
25,
2638,
1378,
16184,
... | 2.733333 | 240 |