content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import utils
import json
from tqdm import tqdm
languages = ['ruby', 'javascript', 'php', 'python', 'java', 'go']
# language model just needs code
# distance needs code and query
# seq2seq needs code and function name, with function name in code body obfuscated
for language in languages:
keywords = set()
wi... | [
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2,
... | 1.81 | 1,900 |
import pytest
| [
198,
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9288,
628,
628
] | 3 | 6 |
#!/usr/local/bin/python
# filename: clonify.py
###########################################################################
#
# Copyright (c) 2014 Bryan Briney. All rights reserved.
#
# @version: 1.0.0
# @author: Bryan Briney
# @license: MIT (http://opensource.org/licenses/MIT)
#
#####################################... | [
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# -*- coding: utf-8 -*-
"""
This script computes the official performance metrics for the NIST 2016 SRE.
The metrics include EER and DCFs (min/act).
"""
__author__ = "Timothee Kheyrkhah"
__email__ = "timothee.kheyrkhah@nist.gov"
__version__ = "4.2"
import os # os.system("pause") for windows command line
import s... | [
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... | 2.078113 | 1,293 |
### rotamer library . Yong Zhao, TSRI, 2005
RotLib={'CYS': [{'C': [1.4151262352831278, -0.50728183016869421, -5.4045176598339212e-08], 'CB': [1.6853382803910799e-09, 1.5392571543613152, -4.144091399812394e-08], 'CA': [-1.9255430583342559e-16, 5.4643789493269423e-16, -3.7990444123892075e-16], 'O': [2.039109873893294, -... | [
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1507,... | 1.949945 | 272,318 |
#!/usr/bin/env python
import sys
import time
from thrift.transport import TTransport
from thrift.transport import TSocket
from thrift.protocol import TBinaryProtocol
from thrift.server import THttpServer
from aggr import Aggr
processor = Aggr.Processor(AggrHandler())
pfactory = TBinaryProtocol.TBinaryProtoco... | [
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... | 2.992701 | 137 |
from .utils import latest_sha, load_config
| [
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1330,
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62,
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11,
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62,
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] | 3.583333 | 12 |
# -*- coding:utf-8 -*-
from preprocess.w2v.w2v_sv import w2sv
import pickle
import csv
from utils.config import Config
if __name__ == "__main__":
config = Config()
w2vs = w2sv()
sentencesDict = {}
with open(config.waimai_cn_path, newline='', encoding='UTF-8') as f:
rows = csv.rea... | [
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201,
198,
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293,
201,
198,
11748,
269,
21370,
201... | 1.915601 | 391 |
import re
from os import listdir
from os.path import abspath, relpath
from scipy.misc import imsave
from quiver_engine.util import deprocess_image
| [
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198,
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6738,
627,
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62,
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13,
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1207,
305,... | 3.234043 | 47 |
from django.template import library
from django.template.defaultfilters import unordered_list
from django.utils.http import urlencode
try:
from django_jinja import library as jinja_library
import jinja2
except ImportError:
jinja_library = None
register = library.Library()
@register.simple_tag()
@regi... | [
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628,
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220,
220... | 2.743501 | 577 |
#!/usr/bin/env python
# encoding: utf-8
"""
Created by Maria Isabel Restrepo on 2012-12-6.
Copyright (c) 2012 . All rights reserved.
A script to set up a small "common bounding box for all CVG sites"
"""
import sys
import os
sys.path.append(os.pardir)
import reg3d_transformations as reg3d_T
import numpy as np
from ... | [
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1... | 2.156633 | 7,591 |
"""\
Benchmark
=========
Benchmarking methods for problem solutions in Python.
"""
from time import time
def calltime(func):
"""Record elapsed time and function calls"""
print('[benchmark] {}...'.format(func.__doc__))
wrap.cnt = wrap.ms = 0
return wrap
| [
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628,
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from datetime import datetime
from typing import List
from beanie import Document, Indexed
from bson.objectid import ObjectId as BsonObjectId
class CompanyModel(Document):
"""Company Model"""
company_name: str
company_id: str
creation_datetime: datetime = datetime.now()
company_email: Indexed(s... | [
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... | 3.18543 | 151 |
import Queue
number = int(raw_input())
visited = set()
q = Queue.Queue()
q.put((1, 1, 0))
while True:
x, y, steps = q.get(False)
if steps > 50:
print len(visited)
break
visited.add((x, y))
if x - 1 >= 0 and not is_wall(x-1, y) and (x-1, y) not in visited:
q.put((x-1, y, steps+1))
if x + 1 >= 0 and n... | [
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16,
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11,
657,
4008,
198,
198,
4514,
6407... | 2.020761 | 289 |
#!/usr/bin/python
"""
CoinMarketCap USD Price History
Print the CoinMarketCap USD price history for a particular cryptocurrency in CSV format.
"""
import sys
import re
import urllib2
import argparse
import datetime
parser = argparse.ArgumentParser()
parser.add_argument("currency", help="This is the name of th... | [
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329,
257,
1948,
20210,
287,
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5794,
13,
198,
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198,
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11748,
... | 2.73322 | 1,758 |
s = "String"
l = [1, 2, "List"]
t = (1, 2, "Tuple")
print s[Index(2L)]
print l[Index(2L)]
print t[Index(2L)]
| [
198,
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1,
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75,
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1... | 1.929825 | 57 |
# -*- coding: utf-8 -*-
"""
Tellus
"""
import datetime
import json
import requests
class Tellus:
"""
Tellus
"""
api_token = ""
market_token = ""
expires_at = datetime.datetime.now()
def auth(self):
"""
Authenticate for API
"""
print("Implement it in a ch... | [
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628,
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4871,
14026,
385,
25,
198,
220,
220,
220,
37227,
198... | 2.095768 | 898 |
#!/usr/bin/env python3
''' 74x373 - Octal Register '''
from Chipdesc.chip import Chip
class F373(Chip):
''' 74x373 - Octal Register '''
symbol_name = "F373"
checked = "VAL 0031"
symbol = '''
| |
| |
11v 1v
+--+--o--+
| |
| LE OE |
3| |2
-->+D0 Q0+===... | [
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14,
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198,
198,
4871,
376,
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7,
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2599,
628,
220,
220,
... | 1.652062 | 388 |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions.multivariate_normal import MultivariateNormal
from algorithm import RRT_EPS
from environment import LIMITS
from utils import load_model
| [
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... | 3.46988 | 83 |
import painter
from collections import deque
#returns last node (destination_node) | [
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8
] | 4 | 21 |
from setuptools import setup
# from pip.req import parse_requirements
# parse_requirements() returns generator of pip.req.InstallRequirement objects
# install_requires = []
# extra_requires = {}
# for item in parse_requirements("requirements.txt", session=False):
# req = str(item.req)
# if item.markers is not... | [
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13,
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16844,
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5563,
198,
198,
2,
2721,
62,
47911... | 2.642105 | 285 |
"""This is a plotting script for one particular configuration specified via command
line argument. It can be called like this:
`python plot_eigvals_vivit_vs_fb.py --config_str fmnist_2c2d_sgd`
`run_plot_eigvals_vivit_vs_fb.py` automatically calls this script for all
configurations.
This script consists of 3 steps:
... | [
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307,
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428,
25,
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68,
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62,
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452,
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14259,
62,
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1... | 2.427792 | 5,318 |
# Generated by Django 3.0.8 on 2020-10-23 15:06
from django.db import migrations, models
import uuid
| [
2,
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513,
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12,
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25,
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14208,
13,
9945,
1330,
15720,
602,
11,
4981,
198,
11748,
334,
27112,
628
] | 2.861111 | 36 |
import pygame as game
import sys as s
import random as r
game.init()
print('\n' * 1000)
print('awncer these questions with Y OR N\n')
rick = input('do you like "never gonna give you up"')
roll = input('do you like rolling')
spam = input('do you like spam (email)')
montyspam = input('do you like monty python\'s skit "... | [
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3832,
2189,
777,
2683,
351,
575,
6375,
399,
59,
77,
115... | 2.473598 | 3,655 |
import pandas as pd
import os
| [
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28686,
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628,
198
] | 2.833333 | 12 |
from frsclient.service.v2.api_collection_v2 import ApiCollectionV2
from frsclient.service.v2.compare_service import CompareServiceV2
from frsclient.service.v2.detect_service import DetectServiceV2
from frsclient.service.v2.face_service import FaceServiceV2
from frsclient.service.v2.face_set_service import FaceSetSe... | [
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533,
62,
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1330,
27814,
16177,
53,
17,
201,
19... | 3.058824 | 153 |
import os
import csv
csv_path = os.path.join("Resources", "election_data.csv")
with open(csv_path, newline="") as file:
election_data_reader = csv.reader(file, delimiter=",")
csv_header = next(election_data_reader)
total_votes = 0
candidate_list = []
candidate_votes = []
for row in e... | [
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7,
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11,
649,
1370,
2625,
4943,
355,
2393... | 2.672334 | 647 |
#
# PySNMP MIB module IF-MIB (http://pysnmp.sf.net)
# ASN.1 source file:///usr/share/snmp/mibs/IF-MIB.txt
# Produced by pysmi-0.0.7 at Fri Feb 17 12:48:35 2017
# On host 5641388e757d platform Linux version 4.4.0-62-generic by user root
# Using Python version 2.7.13 (default, Dec 22 2016, 09:22:15)
#
( Integer, ObjectI... | [
2,
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12,
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33,
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79,
893,
77,
3149,
13,
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13,
3262,
8,
198,
2,
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45,
13,
16,
2723,
2393,
1378,
14,
14629,
14,
20077,
14,
16184,
3149,
14,
76,
571,
82,
... | 2.469323 | 7,579 |
import sys
from django.conf import settings
from django.contrib.auth.models import User
from privileges.models import Privilege
privilege_list = import_obj(
getattr(settings, "PRIVILEGES_PRIVILEGE_LIST_CALLABLE", "privileges.grants._privilege_list")
)
grantee_list = import_obj(
getattr(settings, "PRIVIL... | [
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14208,
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3642,
822,
13,
18439,
13,
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1330,
11787,
198,
198,
6738,
18850,
13,
27530,
1330,
9243,
41866,
628,
628,
198,
198,
13776,
41866,
62,
486... | 2.737589 | 141 |
from __future__ import (absolute_import, print_function, unicode_literals)
from acli.services.s3 import (s3_list)
from acli.config import Config
from moto import mock_s3
import pytest
from boto3.session import Session
session = Session(region_name="eu-west-1")
@pytest.yield_fixture(scope='function')
def s3_bucket():... | [
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62,
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11,
3601,
62,
8818,
11,
28000,
1098,
62,
17201,
874,
8,
198,
6738,
257,
44506,
13,
30416,
13,
82,
18,
1330,
357,
82,
18,
62,
4868,
8,
198,
6738,
257,
44506,
13,
11250,
1330,
17... | 2.241692 | 331 |
import argparse
import pandas as pd
import xgboost as xgb
from sklearn.model_selection import train_test_split
import hypertune
from google.cloud import storage
parser = argparse.ArgumentParser()
parser.add_argument(
'--job-dir',
help='GCS location to write checkpoints and export models',
required=True,
)
... | [
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2124,
22296,
198,
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13,
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62,
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62,
9288,
62,
35312,
198,
11748,
32608,
1726,
198,
6738,
23645,
13,
17721... | 2.426531 | 980 |
from typing import Optional , List
from .dbmodel import DBModelMixin
from pydantic.types import constr , Any
from ..core.jwt import create_access_token, get_file_from_token
from enum import Enum, IntEnum
from .rwmodel import RWModel
from pydantic import validator
# Sync with the frontend
| [
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764,
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7295,
13,
73,
46569,
1330,
2251,
62,
15526,
62,
30001,... | 3.355556 | 90 |
sol = Solution()
target = 5478
result = sol.racecar(target)
print(result) | [
198,
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13,
16740,
7718,
7,
16793,
8,
198,
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7,
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8
] | 2.96 | 25 |
from tlv import TLV
| [
6738,
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24811,
53,
628,
198
] | 2.75 | 8 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-10-09 17:43
from django.db import migrations
import utilities.fields
| [
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... | 2.729167 | 48 |
#------------------------------------------------------------------------------
# Copyright (c) 2019, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------------------------------------------------... | [
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2,
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2,
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1336,
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318,
287,
262,
2393,
27... | 2.565957 | 705 |
# -*- coding: utf-8 -*-
# Copyright (c) 2012-2015, Cenobit Technologies, Inc. http://cenobit.es/
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain th... | [
2,
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14,
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2,
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2489,
10395,
13,
198,
... | 2.926329 | 828 |
text = input("Enter some text: ")
y = text.lower()
x = text.split()
z = "owl"
c = 0
index = 0
index1 = []
for i in range(len(x)):
if z in x[index]:
c = c + 1
index1.append(index)
index = index + 1
print "There were " + str(c) + " words that contained \"owl\"."
print "They occurred... | [
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88,
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1,
201,
198,
66,
796,
657,
201,
198,
9630,
796,
657,
201,
198... | 2.272727 | 154 |
"""
问题描述：41个人排成一个圈，由第一个人开始报数，报数到3的人就自杀，
然后再由下一个人重新报1，报数到3的人再自杀，这样依次下去，直到剩下
最后一个人时，他可以自由选择自己的命运。这就是著名的约瑟夫问题，现在
请用单向环形链表描述该结构并呈现整个自杀过程
要求：输入一个环形单向链表的头结点head和报数的值m，返回最后生存的节
点，该节点自己组成一个单向环形链表，其他节点都删掉
进阶：
如果链表头结点数为N,想在时间复杂度为O(N)时完成原问题的要求，如何实现
思路：参见https://blog.oldj.net/2010/05/27/joseph-ring/
"""
from linkedlist.toolcls... | [
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103,
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281... | 1.155797 | 828 |
from multiprocessing import get_context
import pickle
import re
import pytest
from rlp import SerializationError
from rlp import infer_sedes, encode, decode
from rlp.sedes import big_endian_int, binary, List
from rlp.sedes.serializable import Serializable
_type_1_a = RLPType1(5, b'a', (0, b''))
_type_1_b = RL... | [
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37773,... | 1.925276 | 1,539 |
from allauth.account.adapter import DefaultAccountAdapter
from allauth.socialaccount.adapter import DefaultSocialAccountAdapter
from allauth.exceptions import ImmediateHttpResponse
from allauth.socialaccount.signals import pre_social_login
from allauth.account.models import EmailAddress
from django.contrib.auth import ... | [
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198,... | 3.181058 | 359 |
from .use import (
add_stoys_jars,
add_stoys_jars_packages,
get_stoys_jars,
get_stoys_jars_packages,
get_stoys_ui_js_content,
)
__all__ = [
"get_stoys_jars_packages",
"get_stoys_jars",
"get_stoys_ui_js_content",
"add_stoys_jars",
"add_stoys_jars_packages",
]
| [
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220,
651,
62,
301,
19417,
62,
73,
945,
11,
198,
220,
220... | 1.923077 | 156 |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | [
2,
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2,
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13,
921,
743,
7330,
198,
2,
257,
4866,
286,
262,
13789,
379,
198,
2,... | 3.742739 | 241 |
# This script is a QC implementation of the two population Tennessen Out Of Africa model
import msprime
import numpy as np
import math
import stdpopsim.models as models
| [
2,
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320,
13,
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355,
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... | 4.02381 | 42 |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
# class LeNet(nn.Module):
# def __init__(self, n_classes):
# super(LeNet, self).__init__()
# self.conv1 = nn.Conv2d(1, 5, 5, 1)
# self.conv2 = nn.Conv2d(5, 10, 5, 1)
# self.fc1 = nn.Linear(4*4*10, ... | [
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2,
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8... | 1.6618 | 411 |
#!/bin/python
import sys, re
F1, F2 = open(sys.argv[1]), open(sys.argv[2])
f1,f2 = [i.strip('\n') for i in F1], [i.strip('\n') for i in F2]
n=0
firstline, secondline = [],[]
for i in range(1, len(f1[1])+1):
if not i%10:
n+=1
firstline.append(colored(str(n)))
secondline.append(colored('0'... | [
2,
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72,
1... | 1.892562 | 363 |
from django.apps import AppConfig
| [
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13,
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1330,
2034,
16934,
628
] | 3.888889 | 9 |
#
# Dimensional and dimensionless parameter values, and scales
#
import pybamm
import pandas as pd
import os
import numbers
class ParameterValues(dict):
"""
The parameter values for a simulation.
Parameters
----------
values : dict or string
Explicit set of parameters, or reference to a f... | [
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7,
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... | 2.237687 | 7,228 |
import psycopg2
import os
if __name__ == "__main__":
main()
| [
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] | 2.392857 | 28 |
# Author: a101269
# Date : 2020/5/26
| [
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] | 1.884615 | 26 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Project : PyCoA - Copyright ©pycoa.fr
Date : april 2020 - march 2021
Authors : Olivier Dadoun, Julien Browaeys, Tristan Beau
License: See joint LICENSE file
Tool : ./list_requires.py
About
-----
This small tool is for internal use in order to properly maintain the ... | [
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... | 2.566265 | 332 |
from itertools import combinations_with_replacement
from ..core import Derivative, Eq, Function, Symbol, diff, sympify
from ..core.compatibility import iterable
def euler_equations(L, funcs=(), vars=()):
r"""
Find the Euler-Lagrange equations for a given Lagrangian.
Parameters
==========
L : Ex... | [
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... | 2.249632 | 1,358 |
SoftBodySettings.effector_weights = None
| [
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13,
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273,
62,
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796,
6045,
628,
198
] | 3.583333 | 12 |
from flask import request, Blueprint, Response
# Import the database object (db) from the main application module
# and the app object to initialize the flask_login manager
from app import app, db
# Import module models (i.e. User)
from app.models.tweets_model import Tweet
from app.models.labels_model import Label
imp... | [
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20613... | 2.754098 | 427 |
# encoding: utf-8
from __future__ import unicode_literals
import os.path
import pytest
from webob.exc import HTTPForbidden, HTTPNotFound
from web.core.context import Context
from web.app.static import static
HERE = os.path.dirname(__file__)
sample = Sample()
| [
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1890,
37978,
11,
14626... | 3.067416 | 89 |
import os
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
here = os.path.dirname(os.path.abspath(__file__))
version_ns = {}
with open(os.path.join(here, "jupyterlab_heroku", "_version.py")) as f:
exec(f.read(), {}, version_ns)
setuptools.setup(
name="jupyterlab_heroku",
... | [
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796,
277,
71,
13,
961,
3419,
198,
198,
1456,
796,
28686,
13,... | 2.587786 | 262 |
import networkx as nx
from pymnet import *
import random
import matplotlib
import numpy as np
import math
import cascade as cas
import pandas as pd
import csv
matplotlib.use('TkAgg')
coords = {}
if __name__ == "__main__":
"""
data_set = [['Kim', 1, 21], ['Park', 2, 23, 70], ['Lee', 3, 19], ['Choi', 4]]
... | [
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27... | 1.831232 | 1,428 |
# -*- coding: utf-8 -*-
"""
This module provides the funcitonality to save function results persistent
between different runs. The `persistent_cache` decorator makes that possible.
The result gets stored along with the hash of the function body as key, to
determine changes in the function and its behavior. This also m... | [
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8265,
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284,
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383,
4600,
19276,
7609,
62,
23870,
63,
11705,
1352,
1838,
... | 3.665595 | 311 |
import json, argparse
from dashboardApi import import_grafana_settings, search_datasource
from commons import print_horizontal_line
from datetime import datetime
parser = argparse.ArgumentParser()
parser.add_argument('path', help='folder path to save datasources')
parser.add_argument('conf_filename', default="grafana... | [
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... | 2.69258 | 283 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import division
import hgtk
| [
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834,
1330,
7297,
198,
198,
11748,
289,
13655,
74,
628,
628
] | 2.825 | 40 |
if __name__ == '__main__':
import keras as ks
import numpy as np
from agents.deep_q import DeepQLearning
from environments.flappybird import FlappyBird
from q_network import QNetwork
nn = ks.models.Sequential()
nn.add(ks.layers.Dense(32, activation='sigmoid', input_shape=(8,)))
nn.add(... | [
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import pytest, os, uuid
from tenable.cs import ContainerSecurity
from tenable.errors import *
from tests.checker import check
@pytest.fixture(autouse=True)
@pytest.fixture(autouse=True)
@pytest.fixture
@pytest.fixture | [
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from math import pi, acos, cos, sin
from decimal import Decimal
import requests
import urllib.parse
from django.conf import settings
| [
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import os
import json
import requests
import collections
import functools
from cachegrab.utils.utils import make_path
from cachegrab.utils.hash import hash_md5
class BasicCachingGetter(object):
"""
Simple cache controller for the most basic use case: wrapping requests, and saving the response as a json.
... | [
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... | 2.418139 | 849 |
# -*- coding: utf-8 -*-
"""Module providing some Jenkins test report in JSON format.
"""
def get_jenkins_test_report_response():
"""Returns a Jenkins test report in JSON format as it is done via the `/testreport/api/json` endpoint."""
# pylint: disable=line-too-long
return {
"_class": "hudson.tas... | [
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... | 1.491737 | 8,895 |
import csv
import io
import json
import yaml
from airone.celery import app
from airone.lib.types import AttrTypeValue
from django.conf import settings
from entry.models import Entry
from job.models import Job
from natsort import natsorted
@app.task(bind=True)
| [
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... | 3.3125 | 80 |
import csv
import os
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import sklearn
from sklearn.model_selection import train_test_split
import math
import cv2
# Read data sample
# Load training history
# Plot the model loss against learning rate
# Plot training data distribution... | [
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... | 3.516949 | 236 |
# Copyright 2019 DeepMind Technologies Limited
#
# 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 agr... | [
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... | 3.02585 | 735 |
#!/usr/bin/python3
import plistlib
import subprocess
if __name__ == "__main__":
print("Warning! This script is intended to be run as a library, not a runnable script!")
return 1
| [
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# -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2021-01-31 19:08
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| [
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... | 2.753623 | 69 |
import errno
import shutil
| [
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] | 3.5 | 8 |
# -*- coding:utf-8 -*-
#
# Create an OpenGL window with GLUT to display a 3D mesh
#
# External dependencies
import sys
import OpenGL
import OpenGL.GL as gl
import OpenGL.GLUT as glut
import MeshToolkit as mtk
# Create an OpenGL frame with GLUT
| [
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1... | 3.207792 | 77 |
# -*- coding: utf-8 -*-
from multiprocessing import Pool
from .isiscommand import Isis, IsisCommand
__all__ = [
'IsisPool',
'QueuedIsisCommand'
]
class IsisPool(Isis):
"""Multiprocessing pool for ISIS commands.
Example for running the following isis script in parallel for a list of
images.
... | [
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"""
sentry.models.auditlogentry
~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2014 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import, print_function
from django.db import models
from django.utils import timezone
from sentry.db... | [
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... | 3.183824 | 136 |
from time_series_transform.transform_core_api import (
Pandas_Time_Series_Panel_Dataset,
Pandas_Time_Series_Tensor_Dataset,
)
from time_series_transform.stock_transform import (
Portfolio_Extractor,
Stock_Extractor
)
| [
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import functools
import gzip
import re
from difflib import SequenceMatcher
from pathlib import Path
from django.conf import settings
from django.core.exceptions import (
FieldDoesNotExist, ImproperlyConfigured, ValidationError,
)
from django.utils.functional import cached_property, lazy
from django.utils.html impo... | [
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... | 3.102226 | 1,213 |
import datetime
import gzip
import json
import logging
import random
import re
import redis
import requests
import StringIO
import time
from requests.exceptions import RequestException
from timeit import default_timer as timer
import paho.mqtt.client as mqtt
log = logging.getLogger(__name__)
#... | [
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1174... | 2.852459 | 549 |
# Generated by Django 2.2.3 on 2019-07-23 07:19
from django.db import migrations, models
| [
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import myFunction
import numpy as np
# def test_similarity_conditional2(self):
# freqUV = np.asarray([[2,3],[3,4]])
# freqU = np.asarray([2,0])
# u = 0
# v = 1
# assert myFunction.similarity_conditional(freqUV,freqU, u, v) == 0 | [
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1... | 2.153153 | 111 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from multiprocessing import Process, Value, Queue, Semaphore
import argparse
import re
import os
import sys
q = Queue() #inicialização da queue
sem = Semaphore(1) #inicialização do semáforo
n = Value('i',0) #inicialização da variável partilhada
def pgrep(list_files, tex... | [
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... | 2.557652 | 954 |
#
# Copyright (c) 2020 by Delphix. All rights reserved.
#
#######################################################################################################################
# In this module, functions defined for couchbase backup manager ingestion mechanism.
########################################################... | [
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... | 4.89 | 200 |
#!/usr/bin/env python
# encoding: utf-8
#
# instrumentState.py
#
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import click
from alertsActor.cmds import alerts_context
__all__ = ('instrumentState')
@click.command()
@click.argument('instrument', nargs... | [
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import conmato
# Provide your contestID or your contest URL
contestID = '256575'
groupID = 'bveFK04PIR'
ss = conmato.CSession()
ss.login('74164707NgocBH','123456789')
conmato.crawl_checked_standings(ss, contestID) | [
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from .psenet import PSENET_IC15
from .builder import build_data_loader
__all__ = ['PSENET_IC15']
| [
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from requests import Session
#Create a re-usable session object which re-uses connection, mantains a pool.
session = Session()
#Optional: Configure user-agent here so that upstream servers know which library/version is making the request
| [
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#-*-coding:utf-8-*-
#@Author:刘瀚轩
#@Date:2018-4-28
#@mail:m13143378602@163.com
#@function:histogram equalization
import PIL
import numpy as np
import matplotlib.pyplot as plt
from tkinter import *
from tkinter.ttk import *
from tkinter import messagebox
from tkinter.filedialog import askopenfilename
from collections i... | [
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209... | 1.814815 | 297 |
import os
import dash_html_components as html
import dash_core_components as dcc
from dash_bio import ManhattanPlot
from dash_bio.component_factory._manhattan import SUGGESTIVE_LINE_LABEL, GENOMEWIDE_LINE_LABEL
from tests.dashbio_demos.app_manhattan_plot import DATASET
from .test_common_features import (
init_demo_... | [
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... | 2.229008 | 2,096 |
# 1296. 划分数组为连续数字的集合
#
# 20200727
# huao
# 这个时间用的很有点长...
# 当然，细节上可以改进的，毕竟很多库函数在特定情况下有更好更快的实现方法
from typing import List
sol = Solution()
print(sol.isPossibleDivide([3, 2, 1, 2, 3, 4, 3, 4, 5, 9, 10, 11], 3))
| [
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... | 1.082051 | 195 |
from math import acos, degrees, hypot
def checkio(data):
"""list[list[int, int],] -> list[int,].
Find the convex hull.
"""
SortedData = sorted(data, key=lambda x: (x[0], x[1]))
SortedData += [SortedData[0]]
PointList = []
CurrentAngle = 0
CurrentPoint = SortedData[0]
while 1:
... | [
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... | 2.03271 | 856 |
from django.test import TestCase
from mock import patch
from django_datajsonar.models import Node
from series_tiempo_ar_api.apps.metadata.indexer.metadata_indexer import run_metadata_indexer
from series_tiempo_ar_api.apps.metadata.models import IndexMetadataTask
@patch('series_tiempo_ar_api.apps.metadata.indexer.met... | [
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... | 3.205357 | 112 |
# !/usr/bin/env python3
# Author: C.K
# Email: theck17@163.com
# DateTime:2021-08-30 22:23:43
# Description:
if __name__ == "__main__":
pass
| [
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import Drop7.Board as Board
import Drop7.Disk as Disk
wrapped_disk_value_1 = None
wrapped_disk_value_2 = None
wrapped_disk_value_3 = None
wrapped_disk_value_3_B = None
wrapped_disk_value_3_C = None
wrapped_disk_value_5 = None
visible_disk_value_1 = None
visible_disk_value_2 = None
visible_disk_value_2_B = None
visible... | [
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# Generated by Django 3.2.4 on 2021-06-16 09:36
from django.db import migrations, models
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"""
Support tool for changing and granting course entitlements
"""
from django.utils.decorators import method_decorator
from django.views.generic import View
from common.djangoapps.edxmako.shortcuts import render_to_response
from common.djangoapps.entitlements.models import CourseEntitlementSupportDetail
from lms.dj... | [
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19... | 2.847059 | 425 |
# Copyright (c) 2016 MetPy Developers.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Tests for the `_mpl` module."""
from tempfile import TemporaryFile
import matplotlib.patheffects as mpatheffects
import matplotlib.pyplot as plt
import numpy as np
# Needed to ... | [
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1... | 2.777494 | 391 |
import requests_with_caching
import json
| [
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] | 3.727273 | 11 |
import os
import ujson
from loc import loc
from urllib.request import urlopen
import json
import numpy as np
ak=os.environ['BAIDU_MAP_API_KEY']
def getDistance(origin, destination, getDuration=False):
'''
Format of origin and destination:
{ "latitude": int, "longitude": int }
Return the distance/du... | [
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... | 2.224897 | 1,454 |
from buildercore import core
import utils
from decorators import requires_aws_stack, echo_output
import logging
LOG = logging.getLogger(__name__)
@requires_aws_stack
def rds_snapshots(stackname):
"prints all snapshots for given stack, order by creation time"
inst = core.find_rds_instances(stackname)[0]
con... | [
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import os
import struct
unit_type={
0:"X-COM Agent",
1:"Multiworm egg",
2:"Brainsucker",
3:"Multiworm",
4:"Hyperworm",
5:"Chrystali",
6:"Anthropods",
7:"Skeletoids",
8:"Spitter",
9:"Poppers",
10:"Megaspawn",
11:"Psimorphs",
12:"Quinspawn",
13:"Micronoid_aggregate",
14:"P... | [
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12... | 2.514444 | 900 |
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import torch
LINE_COLORS = ['w', 'r', 'orange', 'k', 'cyan', 'm', 'b', 'lime', 'g', 'brown', 'navy']
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... | 2.532468 | 77 |