content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import typing
import tempfile
class FileHelper:
'''Context manager to use files in pulzar
''' | [
11748,
19720,
198,
11748,
20218,
7753,
198,
198,
4871,
9220,
47429,
25,
198,
220,
220,
220,
705,
7061,
21947,
4706,
284,
779,
3696,
287,
17472,
41046,
198,
220,
220,
220,
705,
7061
] | 3.1875 | 32 |
from tkinter import *
#--------------- main window --------------
root = Tk()
root.title("colorv2")
root.resizable(0,0)
#------------------ variables -------------------------
vsr = IntVar()
vsg = IntVar()
vsb = IntVar()
mainrgb = StringVar()
mainrgb.set("#000000")
bgr = "red"
bgg = "green"
bgb = "blue"
don = StringVa... | [
6738,
256,
74,
3849,
1330,
1635,
198,
2,
24305,
1388,
4324,
220,
26171,
198,
15763,
796,
309,
74,
3419,
198,
15763,
13,
7839,
7203,
8043,
85,
17,
4943,
198,
15763,
13,
411,
13821,
7,
15,
11,
15,
8,
198,
198,
2,
1783,
438,
9633,
... | 2.782041 | 1,225 |
from django.core import validators
from django.db import models
from testing.validators import contains_only_digits_validator
| [
6738,
42625,
14208,
13,
7295,
1330,
4938,
2024,
201,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
201,
198,
201,
198,
6738,
4856,
13,
12102,
2024,
1330,
4909,
62,
8807,
62,
12894,
896,
62,
12102,
1352,
201,
198,
201,
198
] | 3.325 | 40 |
import json
import os
import zlib
import requests
from base45 import b45decode
import cwt
from cwt import load_pem_hcert_dsc
# An endpoint of Digital Green Certificate Verifier Service compliant with:
# https://eu-digital-green-certificates.github.io/dgca-verifier-service/
BASE_URL = os.environ["CWT_SAMPLES_EUDCC_... | [
11748,
33918,
198,
11748,
28686,
198,
11748,
1976,
8019,
198,
198,
11748,
7007,
198,
6738,
2779,
2231,
1330,
275,
2231,
12501,
1098,
198,
198,
11748,
269,
46569,
198,
6738,
269,
46569,
1330,
3440,
62,
79,
368,
62,
71,
22583,
62,
67,
1... | 1.839117 | 1,268 |
#!/usr/bin/python
import bn256
"""
Demonstrate the bn256 module using the BLS short signature scheme
"""
test()
| [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
198,
11748,
275,
77,
11645,
198,
198,
37811,
198,
35477,
23104,
262,
275,
77,
11645,
8265,
1262,
262,
347,
6561,
1790,
9877,
7791,
198,
37811,
198,
198,
9288,
3419,
628
] | 3.052632 | 38 |
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
palette = {"node_color":"#36558F", "edge_color":"#40376E", "font_color":"#000000", "face_color":"#96ACB7"}
plt.figure(figsize=(16,16))
ax = plt.axes()
ax.set_facecolor(palette["face_color"])
def read_csv(file_name="actors.csv"):
"""Take an a... | [
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
3127,
87,
355,
299,
87,
198,
198,
18596,
5857,
796,
19779,
17440,
62,
8043,
2404,
2,
2623,
40486,
37,
1600,
366,
14907,
62,
8043,... | 2.49536 | 862 |
from io import BytesIO, TextIOWrapper
from pathlib import Path
from time import time
from typing import Union, TextIO, List
from lzma import compress, decompress
import PIL.Image
import discord
from core.abc.fileSystem import AbstractFileSystem, AbstractFile, openingReadMode, openingWriteMode, AbstractFolder, fileTy... | [
6738,
33245,
1330,
2750,
4879,
9399,
11,
220,
8255,
40,
3913,
430,
2848,
198,
6738,
3108,
8019,
1330,
10644,
198,
6738,
640,
1330,
640,
198,
6738,
19720,
1330,
4479,
11,
8255,
9399,
11,
7343,
198,
6738,
300,
89,
2611,
1330,
27413,
11,... | 2.876354 | 2,677 |
import re
# =============================================================================
# A regex used for fixing pin names
RE_PIN_NAME = re.compile(r"^([A-Za-z0-9_]+)(?:\[([0-9]+)\])?$")
# =============================================================================
def get_pin_name(name):
"""
Returns t... | [
11748,
302,
198,
198,
2,
38093,
25609,
198,
198,
2,
317,
40364,
973,
329,
18682,
6757,
3891,
198,
2200,
62,
44032,
62,
20608,
796,
302,
13,
5589,
576,
7,
81,
1,
61,
26933,
32,
12,
57,
64,
12,
89,
15,
12,
24,
62,
48688,
5769,
3... | 2.682612 | 1,317 |
"""
Django settings for {{ cookiecutter.project_name }} project.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# Build paths inside the project like... | [
37811,
198,
35,
73,
14208,
6460,
329,
22935,
19751,
8968,
353,
13,
16302,
62,
3672,
34949,
1628,
13,
198,
198,
1890,
517,
1321,
319,
428,
2393,
11,
766,
198,
5450,
1378,
31628,
13,
28241,
648,
404,
305,
752,
13,
785,
14,
268,
14,
... | 2.589266 | 1,770 |
import gzip
import shutil
DIRECTORY_IN = 'wiki-en-processed/articles/'
DIRECTORY_OUT = 'wiki-en-processed/articles-compressed/'
for i in range(508):
file = '{:06}'.format(i)
print('[*] Starting to compress', DIRECTORY_IN + file + '.json')
with open(DIRECTORY_IN + file + '.json', 'rb') as fileIn, gzip.op... | [
11748,
308,
13344,
198,
11748,
4423,
346,
198,
198,
17931,
23988,
15513,
62,
1268,
796,
705,
15466,
12,
268,
12,
14681,
276,
14,
26845,
14,
6,
198,
17931,
23988,
15513,
62,
12425,
796,
705,
15466,
12,
268,
12,
14681,
276,
14,
26845,
... | 2.524691 | 162 |
numero1 = int(input('Digite primeiro número '))
numero2 = int(input('Digite segundo número '))
print('A soma é', numero1 + numero2)
| [
22510,
3529,
16,
796,
493,
7,
15414,
10786,
19511,
578,
6994,
7058,
299,
21356,
647,
78,
705,
4008,
198,
22510,
3529,
17,
796,
493,
7,
15414,
10786,
19511,
578,
384,
70,
41204,
299,
21356,
647,
78,
705,
4008,
198,
4798,
10786,
32,
3... | 2.4 | 55 |
"""Repository module for ready."""
import logging
from os import environ as env
from typing import Any
from dotenv import load_dotenv
from flask import make_response, Response
from flask_restful import Resource
import requests
# Get environment
load_dotenv()
FUSEKI_HOST_URL = env.get("FUSEKI_HOST_URL", "http://fuseki... | [
37811,
6207,
13264,
8265,
329,
3492,
526,
15931,
198,
11748,
18931,
198,
6738,
28686,
1330,
551,
2268,
355,
17365,
198,
6738,
19720,
1330,
4377,
198,
198,
6738,
16605,
24330,
1330,
3440,
62,
26518,
24330,
198,
6738,
42903,
1330,
787,
62,
... | 2.410526 | 380 |
# ECRYPT BY Boy HamzaH
# Subscribe Cok Chanel YouTube Gua Anjing
# Dan Jangan Lupa Follow Github Gua
exec((lambda _____, ______ : ______(eval((lambda ____,__,_ : ____.join([_(___) for ___ in __]))('',[95, 95, 105, 109, 112, 111, 114, 116, 95, 95, 40, 34, 98, 97, 115, 101, 54, 52, 34, 41, 46, 98, 51, 50, 100, 101, 99, 1... | [
2,
412,
9419,
56,
11571,
11050,
6387,
4345,
4496,
39,
198,
2,
19808,
327,
482,
18704,
417,
7444,
1962,
64,
1052,
49940,
198,
2,
6035,
449,
37089,
32244,
64,
7281,
38994,
1962,
64,
198,
18558,
19510,
50033,
220,
29343,
11,
44435,
1058,... | 1.506105 | 18,429 |
from rest_framework import viewsets, status
from rest_framework.response import Response
from crowdsourcing.serializers.template import *
| [
6738,
1334,
62,
30604,
1330,
5009,
1039,
11,
3722,
198,
6738,
1334,
62,
30604,
13,
26209,
1330,
18261,
198,
198,
6738,
15779,
29985,
13,
46911,
11341,
13,
28243,
1330,
1635,
628,
628
] | 4.4375 | 32 |
# Test budgetanly
import budgeting
import budgetanly
# Create a new project
proj = budgeting.Project('Test project','USD')
# Make a checking account
proj.acctmake('checking')
# Add 500 dollars
proj.income('checking',2000,(2016,11,1))
# Make a rent budget
proj.bdgtmake('rent')
# Put 300 dollars in
proj.add('rent',10... | [
2,
6208,
4466,
272,
306,
198,
198,
11748,
4466,
278,
198,
11748,
4466,
272,
306,
198,
198,
2,
13610,
257,
649,
1628,
198,
1676,
73,
796,
4466,
278,
13,
16775,
10786,
14402,
1628,
41707,
29072,
11537,
198,
198,
2,
6889,
257,
10627,
1... | 2.685131 | 343 |
#!/usr/bin/env python
import numpy as np
import nibabel as nib
from dipy.segment.mask import median_otsu
import sys
finput = sys.argv[1]
foutput = sys.argv[2]
print "Input: " + finput
print "Output: " + foutput
img = nib.load(finput)
data = np.squeeze(img.get_data())
b0_mask, mask = median_otsu(data, 2, 1)
mask_img... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
33272,
9608,
355,
33272,
198,
6738,
19550,
88,
13,
325,
5154,
13,
27932,
1330,
14288,
62,
1747,
84,
198,
11748,
25064,
198,
198,
69,
154... | 2.292576 | 229 |
import torch
# todo more careful check
GPU_ENABLED = True
if torch.cuda.is_available():
try:
_ = torch.Tensor([0.0, 0.0]).cuda()
torch.set_default_tensor_type("torch.cuda.FloatTensor")
print("gpu available")
GPU_ENABLED = True
except:
print("gpu not available")
G... | [
11748,
28034,
198,
198,
2,
284,
4598,
517,
8161,
2198,
198,
33346,
62,
1677,
6242,
30465,
796,
6407,
198,
361,
28034,
13,
66,
15339,
13,
271,
62,
15182,
33529,
198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
... | 2.247191 | 178 |
"""Minimal flask app"""
from flask import Flask, render_template
import requests
from openaq import OpenAQ
from decouple import config
from flask_sqlalchemy import SQLAlchemy
APP = Flask(__name__)
APP.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///db.sqlite3'
DB = SQLAlchemy(APP)
api = OpenAQ()
def make_list():
... | [
37811,
9452,
4402,
42903,
598,
37811,
198,
198,
6738,
42903,
1330,
46947,
11,
8543,
62,
28243,
198,
11748,
7007,
198,
6738,
1280,
30188,
1330,
4946,
32,
48,
198,
6738,
875,
43846,
1330,
4566,
198,
6738,
42903,
62,
25410,
282,
26599,
133... | 2.688755 | 498 |
from __future__ import absolute_import, division, print_function
# LIBTBX_SET_DISPATCHER_NAME mmtbx.pdb_statistics
# LIBTBX_PRE_DISPATCHER_INCLUDE_SH export PHENIX_GUI_ENVIRONMENT=1
# LIBTBX_PRE_DISPATCHER_INCLUDE_SH export BOOST_ADAPTBX_FPE_DEFAULT=1
from wxtbx.polygon_db_viewer import ConfigFrame
import wx
if (__na... | [
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
11,
7297,
11,
3601,
62,
8818,
198,
2,
45651,
22737,
55,
62,
28480,
62,
26288,
47,
11417,
1137,
62,
20608,
8085,
83,
65,
87,
13,
79,
9945,
62,
14269,
3969,
198,
2,
45651,
22737,
55,
6... | 2.424084 | 191 |
# -*- coding: utf-8 -*-
# @Author : surfer
# @email : surfer@canway.net
# @Time : 2020/5/15 15:52
# @file : cmdb_help.py
import requests
from config import APP_ID, APP_TOKEN, BK_PAAS_HOST
import json
# print get_biz_id('蓝鲸')
# print get_bk_set_id(u'蓝鲸', 'mysql')
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
2488,
13838,
220,
1058,
969,
2232,
198,
2,
2488,
12888,
220,
220,
1058,
969,
2232,
31,
5171,
1014,
13,
3262,
198,
2,
2488,
7575,
220,
220,
220,
1058,
12131,
14,
2... | 2.014388 | 139 |
import autograd.scipy.special as special
import autograd.numpy as np
import wh, wp
import util
import gtilde
from scipy.integrate import quad
from scipy.stats import multivariate_normal
from autograd import primitive
import matplotlib.pyplot as plt
__nugget_scalar = 1e-7
__nugget = lambda n: __nugget_scalar * np.eye(n)... | [
11748,
1960,
519,
6335,
13,
1416,
541,
88,
13,
20887,
355,
2041,
198,
11748,
1960,
519,
6335,
13,
77,
32152,
355,
45941,
198,
11748,
348,
11,
266,
79,
198,
11748,
7736,
198,
11748,
308,
83,
44725,
198,
6738,
629,
541,
88,
13,
18908,... | 1.942158 | 2,697 |
# encoding: utf-8
#-----------------------------------------------------------------------------
# Copyright (C) Jupyter Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#--------------------------------------------... | [
2,
21004,
25,
3384,
69,
12,
23,
198,
2,
10097,
32501,
198,
2,
220,
15069,
357,
34,
8,
449,
929,
88,
353,
7712,
4816,
198,
2,
198,
2,
220,
4307,
6169,
739,
262,
2846,
286,
262,
347,
10305,
13789,
13,
220,
383,
1336,
5964,
318,
... | 4.068702 | 131 |
from gym_sweden.envs.swedenworld_env import SwedenWorldEnv | [
6738,
11550,
62,
2032,
31829,
13,
268,
14259,
13,
2032,
31829,
6894,
62,
24330,
1330,
10710,
10603,
4834,
85
] | 3.052632 | 19 |
#!/usr/bin/env python
from __future__ import print_function
import sys
from collections import defaultdict
import gflags as flags
FLAGS = flags.FLAGS
sys.setrecursionlimit(20000)
flags.DEFINE_string("train", "data/joint/shuffle.train.txt",
"training data")
flags.DEFINE_string("test", "data/join... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
198,
11748,
25064,
198,
6738,
17268,
1330,
4277,
11600,
198,
198,
11748,
308,
33152,
355,
9701,
198,
38948,
50,
796,
9701,
13,
... | 2.445736 | 516 |
from onnx_darknet.handlers.frontend_handler import FrontendHandler
from onnx_darknet.handlers.handler import onnx_op
from onnx_darknet.handlers.handler import darknet_op
from .math_mixin import ArithmeticMixin
@onnx_op("Div")
@darknet_op("RealDiv")
| [
6738,
319,
77,
87,
62,
21953,
3262,
13,
4993,
8116,
13,
8534,
437,
62,
30281,
1330,
8880,
437,
25060,
198,
6738,
319,
77,
87,
62,
21953,
3262,
13,
4993,
8116,
13,
30281,
1330,
319,
77,
87,
62,
404,
198,
6738,
319,
77,
87,
62,
21... | 2.788889 | 90 |
# pangadfs-pydfsoptimizer/app/app.py
# -*- coding: utf-8 -*-
# Copyright (C) 2020 Eric Truett
# Licensed under the Apache 2.0 License
import json
import logging
from pangadfs.ga import GeneticAlgorithm
from pangadfs.misc import diversity
from pathlib import Path
import numpy as np
from stevedore.driver ... | [
2,
279,
648,
324,
9501,
12,
79,
5173,
9501,
40085,
7509,
14,
1324,
14,
1324,
13,
9078,
201,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
2,
15069,
357,
34,
8,
12131,
7651,
13616,
3087,
201,
198,
2,
... | 2.543699 | 2,071 |
import logging
from kubernetes.client.rest import ApiException
from piqe_ocp_lib import __loggername__
from piqe_ocp_lib.api.resources.ocp_base import OcpBase
logger = logging.getLogger(__loggername__)
"""
Both openshift Pipeline and PipelineRun object requires openshift-pipeline operator to be install.
It is not i... | [
11748,
18931,
198,
198,
6738,
479,
18478,
3262,
274,
13,
16366,
13,
2118,
1330,
5949,
72,
16922,
198,
198,
6738,
279,
25011,
68,
62,
420,
79,
62,
8019,
1330,
11593,
6404,
70,
13292,
834,
198,
6738,
279,
25011,
68,
62,
420,
79,
62,
... | 2.429563 | 3,457 |
import os
from settings import LOCACOES_PATH, CONTRATOS_PATH, CONVENIOS_PATH, DB_PATH
IGNORE_LIST = ['__init__.py', 'santos-transparencia.py', 'settings.py']
if __name__ == '__main__':
files = os.listdir('.')
modulos = ['Contratos', 'Convênios', 'Locações']
files = [f for f in files if '.py' in f and ... | [
11748,
28686,
198,
6738,
6460,
1330,
37347,
2246,
46,
1546,
62,
34219,
11,
27342,
1404,
2640,
62,
34219,
11,
7102,
28290,
40,
2640,
62,
34219,
11,
20137,
62,
34219,
628,
198,
16284,
6965,
62,
45849,
796,
37250,
834,
15003,
834,
13,
90... | 2.312757 | 243 |
from zope.interface import classProvides
from twisted.plugin import IPlugin
from axiom.attributes import integer, inmemory
from axiom.item import Item
from eridanus import util as eutil
from eridanus.ieridanus import IEridanusPluginProvider
from eridanus.plugin import Plugin, usage, rest
from eridanusstd import urb... | [
6738,
1976,
3008,
13,
39994,
1330,
1398,
15946,
1460,
198,
198,
6738,
19074,
13,
33803,
1330,
314,
37233,
198,
198,
6738,
7877,
29005,
13,
1078,
7657,
1330,
18253,
11,
287,
31673,
198,
6738,
7877,
29005,
13,
9186,
1330,
9097,
198,
198,
... | 2.722628 | 411 |
import os
from typing import Protocol
from aws_cdk import core as cdk
from aws_cdk import aws_ecs as ecs
from aws_cdk import aws_ec2 as ec2
from aws_cdk import aws_iam as iam
from aws_cdk import aws_rds as rds
from aws_cdk import aws_dynamodb as dynamodb
from aws_cdk.aws_elasticloadbalancing import LoadBalancer, LoadB... | [
11748,
28686,
198,
6738,
19720,
1330,
20497,
198,
198,
6738,
3253,
82,
62,
10210,
74,
1330,
4755,
355,
22927,
74,
198,
6738,
3253,
82,
62,
10210,
74,
1330,
3253,
82,
62,
721,
82,
355,
304,
6359,
198,
6738,
3253,
82,
62,
10210,
74,
... | 3.171296 | 216 |
import os
from flask import Flask, request, make_response, jsonify, render_template
from flask_cors import CORS
from utilities import wakati
app = Flask(__name__,
static_folder="client/static",
template_folder="client/static/public")
CORS(app) #Cross Origin Resource Sharing
@app... | [
11748,
28686,
198,
6738,
42903,
1330,
46947,
11,
2581,
11,
787,
62,
26209,
11,
33918,
1958,
11,
8543,
62,
28243,
198,
6738,
42903,
62,
66,
669,
1330,
327,
20673,
198,
6738,
20081,
1330,
266,
461,
7246,
198,
198,
1324,
796,
46947,
7,
... | 2.487562 | 201 |
S = input()
print(S[:3])
| [
50,
796,
5128,
3419,
198,
4798,
7,
50,
58,
25,
18,
12962,
198
] | 1.923077 | 13 |
"""Simple power transformation classes."""
# pylint: disable=unused-variable
from ..numerical_libs import sync_numerical_libs, xp
# TODO this could be better organized...
@sync_numerical_libs
def yeojohnson(y, lam):
"""Yeo-Johnson tranform, batched in the first dimension."""
y_in = y.astype(xp.float64)
... | [
37811,
26437,
1176,
13389,
6097,
526,
15931,
198,
2,
279,
2645,
600,
25,
15560,
28,
403,
1484,
12,
45286,
198,
198,
6738,
11485,
77,
6975,
605,
62,
8019,
82,
1330,
17510,
62,
77,
6975,
605,
62,
8019,
82,
11,
36470,
198,
198,
2,
16... | 2.122623 | 2,577 |
import types
from sqlalchemy import Column, String, BigInteger, Integer, DateTime, ForeignKey, Sequence
from sqlalchemy.orm import relationship, backref
import datetime
from ..BaseModel import BaseModel
| [
11748,
3858,
198,
6738,
44161,
282,
26599,
1330,
29201,
11,
10903,
11,
4403,
46541,
11,
34142,
11,
7536,
7575,
11,
8708,
9218,
11,
45835,
198,
6738,
44161,
282,
26599,
13,
579,
1330,
2776,
11,
736,
5420,
198,
11748,
4818,
8079,
198,
1... | 4.08 | 50 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tests of the matplotib plotting functions
"""
import pytest
# prevent issue with not having a display on travis-ci
# this needs to go *before* pyplot imports
import matplotlib
matplotlib.use('Agg')
from matplotlib.pyplot import gcf
import matplotlib.pyplot as plt
d... | [
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,
51,
3558,
286,
262,
2603,
29487,
571,
29353,
5499,
198,
37811,
198,
198,
11748,
12972,
9288,
198,
198,
2,
... | 1.801166 | 17,668 |
__all__ = [
'DTM',
]
from .model import DTM
| [
198,
834,
439,
834,
796,
685,
198,
220,
220,
220,
705,
35,
15972,
3256,
198,
60,
628,
198,
6738,
764,
19849,
1330,
360,
15972,
628
] | 2.08 | 25 |
# -*- coding: utf-8 -*-
# Author: Tao Hu <taohu620@gmail.com>
import os
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.init as init
import argparse
from torch.autograd import Variable
import torch.utils.data as data
from layers.modules import MultiBoxLoss
from tqdm import tqdm
from pyto... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
6434,
25,
32120,
11256,
1279,
8326,
1219,
84,
38850,
31,
14816,
13,
785,
29,
198,
198,
11748,
28686,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
... | 2.608573 | 1,423 |
print("hola!")
"""
Este es un comentario
de mas de una linea
pense que te podria interesar...
"""
print("Los comentarios con \"\"\" Son mejores que los cochinos comentarios con #!")
| [
4798,
7203,
3937,
64,
2474,
8,
628,
198,
37811,
198,
198,
36,
4169,
1658,
555,
401,
298,
4982,
220,
198,
2934,
12422,
390,
555,
64,
1627,
64,
198,
79,
1072,
8358,
573,
24573,
7496,
493,
68,
411,
283,
986,
198,
198,
37811,
198,
198... | 2.661972 | 71 |
"""
This file tests the epoll() implementation.
Target files:
- libdesock/src/epoll.c
"""
import os
import ctypes
import random
import helper
import desock
| [
37811,
198,
1212,
2393,
5254,
262,
2462,
692,
3419,
7822,
13,
198,
198,
21745,
3696,
25,
198,
220,
220,
220,
532,
9195,
8906,
735,
14,
10677,
14,
538,
692,
13,
66,
198,
37811,
198,
198,
11748,
28686,
198,
11748,
269,
19199,
198,
117... | 3.075472 | 53 |
import utils.VisualizeNN as VisNN
from sklearn.neural_network import MLPClassifier
import numpy as np
if __name__ == "__main__":
training_set_inputs = np.array([[0, 0, 1], [0, 1, 1], [1, 0, 1], [0, 1, 0], [1, 0, 0], [1, 1, 1], [0, 0, 0]])
training_set_outputs = np.array([[0, 1, 1, 1, 1, 0, 0]]).T
X = train... | [
11748,
3384,
4487,
13,
36259,
1096,
6144,
355,
6911,
6144,
198,
6738,
1341,
35720,
13,
710,
1523,
62,
27349,
1330,
10373,
47,
9487,
7483,
198,
11748,
299,
32152,
355,
45941,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
... | 2.446629 | 356 |
import json
import re
from django.core import mail
from django.test import TestCase
from registration.models import RegistrationProfile
from rest_framework import status
from bluebottle.test.factory_models.accounts import BlueBottleUserFactory
class UserApiIntegrationTest(TestCase):
"""
Integration tests f... | [
11748,
33918,
198,
11748,
302,
198,
198,
6738,
42625,
14208,
13,
7295,
1330,
6920,
198,
6738,
42625,
14208,
13,
9288,
1330,
6208,
20448,
198,
198,
6738,
9352,
13,
27530,
1330,
24610,
37046,
198,
6738,
1334,
62,
30604,
1330,
3722,
198,
1... | 2.438701 | 2,186 |
import plotly
import plotly.express as px
import plotly.graph_objects as go
import dash
import dash_table
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input,Output,State
from dash.exceptions import PreventUpdate
import os
import json
import urllib
import requ... | [
11748,
7110,
306,
198,
11748,
7110,
306,
13,
42712,
355,
279,
87,
198,
11748,
7110,
306,
13,
34960,
62,
48205,
355,
467,
198,
198,
11748,
14470,
198,
11748,
14470,
62,
11487,
198,
11748,
14470,
62,
7295,
62,
5589,
3906,
355,
288,
535,... | 2.136706 | 4,645 |
##############################################################################
#
# Below code is based on
# https://github.com/YuliangXiu/PoseFlow
# --------------------------------------------------------
# PoseFlow: Efficient Online Pose Tracking (BMVC'18) (https://arxiv.org/abs/1802.00977)
# Credits: Xiu, Yuliang an... | [
29113,
29113,
7804,
4242,
2235,
198,
2,
198,
2,
10383,
2438,
318,
1912,
319,
198,
2,
3740,
1378,
12567,
13,
785,
14,
56,
377,
15483,
55,
16115,
14,
47,
577,
37535,
198,
2,
20368,
22369,
198,
2,
37557,
37535,
25,
412,
5632,
7467,
3... | 3.943709 | 302 |
import os
import sys
import pytest
from montreal_forced_aligner.command_line.mfa import parser
from montreal_forced_aligner.command_line.train_lm import run_train_lm
| [
11748,
28686,
198,
11748,
25064,
198,
198,
11748,
12972,
9288,
198,
198,
6738,
40689,
5305,
62,
12072,
62,
31494,
263,
13,
21812,
62,
1370,
13,
76,
13331,
1330,
30751,
198,
6738,
40689,
5305,
62,
12072,
62,
31494,
263,
13,
21812,
62,
... | 3.053571 | 56 |
from sqlalchemy import Binary, Column, Integer, String, DateTime
from sqlalchemy.dialects.mysql import TINYINT, MEDIUMTEXT
from app import db, login_manager
| [
6738,
44161,
282,
26599,
1330,
45755,
11,
29201,
11,
34142,
11,
10903,
11,
7536,
7575,
198,
6738,
44161,
282,
26599,
13,
38969,
478,
82,
13,
28744,
13976,
1330,
309,
1268,
56,
12394,
11,
26112,
41796,
32541,
198,
198,
6738,
598,
1330,
... | 3.361702 | 47 |
import xarray as xr
import pandas as pd
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import matplotlib.patches as mpatches
def select_data(ds, lat_min, lat_max, lon_min, lon_max):
"""
select the dataset given the box information
"""
ds_select = ds.where((ds.lat>=lat_min)&(ds.lat<=lat_max)... | [
11748,
2124,
18747,
355,
2124,
81,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
6383,
11081,
13,
66,
3808,
355,
36624,
3808,
198,
11748,
2603,
29487,
8019,
13,
8071,
2... | 1.676809 | 1,479 |
from terraingrid import TerrainGrid
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
import numpy.ma as ma
import random as rng
import time as time
import tsp
rd0 = r"D:\Documents\School\2019-20\ISEF 2020\HighProcessed\r_37ez2.tif"
rd1 = r"D:\Documents\School\2019-20\ISEF 2020\HighProcessed\r_37f... | [
6738,
1059,
430,
278,
6058,
1330,
3813,
3201,
41339,
198,
11748,
299,
32152,
355,
45941,
220,
198,
11748,
269,
85,
17,
355,
269,
85,
220,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
299,
32152,
13,
2611,
... | 2.213852 | 1,646 |
import os
import pandas as pd
from datetime import datetime
from dateutil.relativedelta import relativedelta
import talib
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from mplfinance.original_flavor import candlestick_ohlc
from matplotlib.pylab import date2num
if __name__ == '__main__':
... | [
11748,
28686,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
6738,
3128,
22602,
13,
2411,
265,
1572,
12514,
1330,
48993,
1572,
12514,
198,
198,
11748,
3305,
571,
198,
11748,
2603,
29487,
8019,
13,
90... | 2.605042 | 238 |
# 1893. A380
# A1-2 - window
# B1-2 - aisle
# C1-2 - aisle
# D1-2 - window
# 1-2 A-D A, D - window
# 3-20 A-F A, F - window
# 21-65 A-K A, K - window
#AB CD EF
#ABC DEFG HJK
place = input()
num_pos = len(place) - 1
number = int(place[:num_pos])
letter = place[num_pos:]
if number >= 21:
if letter == 'C' or lett... | [
2,
48889,
13,
317,
23734,
198,
198,
2,
317,
16,
12,
17,
532,
4324,
198,
2,
347,
16,
12,
17,
532,
28960,
198,
2,
327,
16,
12,
17,
532,
28960,
198,
2,
360,
16,
12,
17,
532,
4324,
198,
198,
2,
352,
12,
17,
317,
12,
35,
317,
... | 2.156977 | 344 |
import unittest
import gym
import numpy as np
| [
11748,
555,
715,
395,
198,
11748,
11550,
198,
11748,
299,
32152,
355,
45941,
628,
628,
198
] | 3.125 | 16 |
import logging
import threading
from functools import partial
from string import whitespace
try:
from BaseHTTPServer import HTTPServer, BaseHTTPRequestHandler
from urllib import unquote
except ImportError:
from http.server import HTTPServer, BaseHTTPRequestHandler
from urllib.parse import unquote
from ... | [
11748,
18931,
198,
11748,
4704,
278,
198,
6738,
1257,
310,
10141,
1330,
13027,
198,
6738,
4731,
1330,
13216,
10223,
198,
28311,
25,
198,
220,
220,
220,
422,
7308,
6535,
28820,
18497,
1330,
38288,
18497,
11,
7308,
40717,
18453,
25060,
198,... | 2.937143 | 350 |
from __future__ import annotations
import collections
import itertools
from typing import Any, Callable, Iterable, Iterator
from toolz import compose, identity
import ibis.expr.operations as ops
import ibis.expr.types as ir
class Stack(Container):
"""Wrapper around `collections.deque`.
Implements the `Co... | [
6738,
11593,
37443,
834,
1330,
37647,
198,
198,
11748,
17268,
198,
11748,
340,
861,
10141,
198,
6738,
19720,
1330,
4377,
11,
4889,
540,
11,
40806,
540,
11,
40806,
1352,
198,
198,
6738,
2891,
89,
1330,
36664,
11,
5369,
198,
198,
11748,
... | 2.497828 | 1,842 |
import os
# and comment out a line below
from Bio.PDB import PDBIO, PDBList, PDBParser, parse_pdb_header
from Bio.PDB.Structure import Structure
from Bio.PDB.Model import Model
# If you want to use in jphacks/D_2110 repository,
# refer Quick install guide on README file
# https://github.com/jphacks/D_2110#quick-insta... | [
11748,
28686,
198,
198,
2,
290,
2912,
503,
257,
1627,
2174,
198,
6738,
16024,
13,
5760,
33,
1330,
14340,
3483,
46,
11,
350,
11012,
8053,
11,
350,
11012,
46677,
11,
21136,
62,
79,
9945,
62,
25677,
198,
6738,
16024,
13,
5760,
33,
13,
... | 2.159172 | 1,401 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This will create a dist directory containing the executable file, all the data
# directories. All Libraries will be bundled in executable file.
#
# Run the build process by entering 'pygame2exe.py' or
# 'python pygame2exe.py' in a console prompt.
#
# To build e... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
201,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
2,
201,
198,
2,
770,
481,
2251,
257,
1233,
8619,
7268,
262,
28883,
2393,
11,
477,
262,
1366,
201,
198,
2,... | 2.376694 | 738 |
# -*- coding: utf-8 -*-
from oauth2.datatype import AccessToken
from oauth2.error import AccessTokenNotFound
from oauth2.store import AccessTokenStore
from oauth2.tokengenerator import StatelessTokenGenerator
class TokenStore(AccessTokenStore):
"""Uses stateless token to validate access tokens and auth tokens.
... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
6738,
267,
18439,
17,
13,
19608,
265,
2981,
1330,
8798,
30642,
198,
6738,
267,
18439,
17,
13,
18224,
1330,
8798,
30642,
3673,
21077,
198,
6738,
267,
18439,
17,
13,
... | 2.696113 | 566 |
# -*- coding: utf-8 -*-
import application
if __name__ == '__main__':
app = application.Application()
app.run()
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
3586,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
598,
796,
3586,
13,
23416,
3419,
198,
220,
220,
220,
598,
13,
5143... | 2.574468 | 47 |
# -*- coding: utf-8 -*-
from django.apps import AppConfig
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
628
] | 2.565217 | 23 |
#!/usr/bin/env python
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
15069,
2177,
3012,
3457,
13,
1439,
6923,
33876,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
4... | 3.035745 | 1,147 |
from sklearn.preprocessing import StandardScaler
categorical_encoder = OneHotEncoder(drop="if_binary", handle_unknown='ignore')
numerical_pipe = Pipeline([
('scaler', StandardScaler()),
('imputer', SimpleImputer(strategy='mean'))
])
preprocessing = ColumnTransformer(
[('cat', categorical_encoder, categori... | [
6738,
1341,
35720,
13,
3866,
36948,
1330,
8997,
3351,
36213,
198,
198,
66,
2397,
12409,
62,
12685,
12342,
796,
1881,
21352,
27195,
12342,
7,
14781,
2625,
361,
62,
39491,
1600,
5412,
62,
34680,
11639,
46430,
11537,
198,
77,
6975,
605,
62... | 3.085271 | 129 |
import contextlib
import pytest
from webtest import TestApp
from lms import db
from lms.app import create_app
from tests.conftest import SESSION, TEST_SETTINGS, get_test_database_url
TEST_SETTINGS["sqlalchemy.url"] = get_test_database_url(
default="postgresql://postgres@localhost:5433/lms_functests"
)
@pytest.... | [
11748,
4732,
8019,
198,
198,
11748,
12972,
9288,
198,
6738,
3992,
9288,
1330,
6208,
4677,
198,
198,
6738,
300,
907,
1330,
20613,
198,
6738,
300,
907,
13,
1324,
1330,
2251,
62,
1324,
198,
6738,
5254,
13,
1102,
701,
395,
1330,
311,
4762... | 2.751309 | 382 |
import os
import unittest
from Models.people import People
from api.Exceptions.SystemErrorException import SystemErrorException
# executed prior to each test
# executed after each test
if __name__ == "__main__":
unittest.main() | [
220,
198,
11748,
28686,
198,
11748,
555,
715,
395,
198,
220,
628,
198,
6738,
32329,
13,
15332,
1330,
4380,
198,
198,
6738,
40391,
13,
3109,
11755,
13,
11964,
12331,
16922,
1330,
4482,
12331,
16922,
198,
220,
198,
220,
198,
220,
220,
2... | 2.530973 | 113 |
from django.db import migrations
from rest_api.huji_loader import load_from_zip
| [
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
628,
198,
6738,
1334,
62,
15042,
13,
13415,
7285,
62,
29356,
1330,
3440,
62,
6738,
62,
13344,
628,
198
] | 3.035714 | 28 |
# Copyright (c) 2008 Sebastian Sareyko <smoon at nooms dot de>
# See COPYING file for details.
import os
import xmmsclient
from xmmsclient import glib as xmmsglib
import gobject
import gtk
import gettext
| [
2,
15069,
357,
66,
8,
3648,
26190,
311,
533,
88,
7204,
1279,
5796,
2049,
379,
645,
3150,
16605,
390,
29,
198,
2,
4091,
27975,
45761,
2393,
329,
3307,
13,
628,
198,
11748,
28686,
198,
11748,
2124,
76,
907,
16366,
198,
6738,
2124,
76,... | 3.089552 | 67 |
import json
import torch
import imagemodel
import imageprocessor
import predictargs
if __name__ == "__main__":
args = predictargs.initialize_arguments()
predict(args.use_gpu, args.checkpoint, args.input, args.top_k)
| [
11748,
33918,
198,
11748,
28034,
198,
11748,
3590,
368,
375,
417,
198,
11748,
2939,
41341,
198,
11748,
4331,
22046,
628,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
26498,
796,
4331,
22046,
13,... | 3.04 | 75 |
"""
Smallest multiple
Problem 5
2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.
What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?
"""
from math import sqrt
def prime(n):
"""
return true... | [
37811,
201,
198,
18712,
395,
3294,
201,
198,
40781,
642,
201,
198,
201,
198,
1495,
1238,
318,
262,
18197,
1271,
326,
460,
307,
9086,
416,
1123,
286,
262,
3146,
422,
352,
284,
838,
1231,
597,
17675,
13,
201,
198,
201,
198,
2061,
318,... | 2.030127 | 863 |
from sys import argv
import gzip
import os
file = argv[1]
snp_dir = argv[2]
region_file = argv[3]
chr = argv[4]
snps = []
with open(region_file, 'r') as r_file:
for line in r_file.readlines():
line = line.strip('\n')
line = line.split('\t')
SNP = line[0]
if line[2] == chr:
... | [
6738,
25064,
1330,
1822,
85,
198,
11748,
308,
13344,
198,
11748,
28686,
198,
198,
7753,
796,
1822,
85,
58,
16,
60,
198,
16184,
79,
62,
15908,
796,
1822,
85,
58,
17,
60,
198,
36996,
62,
7753,
796,
1822,
85,
58,
18,
60,
198,
354,
... | 1.869681 | 376 |
import os
import torch
from torch.utils.ffi import create_extension
from IPython import embed
include_dirs = []
library_dirs = []
sources = ['src/nms.cpp']
headers = ['src/nms.h']
defines = []
with_cuda = False
if torch.cuda.is_available():
print('Including CUDA code.')
cuda_home = os.getenv('CUDA_PATH')
... | [
11748,
28686,
198,
11748,
28034,
198,
6738,
28034,
13,
26791,
13,
487,
72,
1330,
2251,
62,
2302,
3004,
198,
6738,
6101,
7535,
1330,
11525,
198,
198,
17256,
62,
15908,
82,
796,
17635,
198,
32016,
62,
15908,
82,
796,
17635,
628,
198,
82... | 2.109113 | 834 |
names = ['lexiaoyuan', 'lexiaoyuanbeta', 'benjamin', 'xushicheng']
print(names[0])
print(names[1])
print(names[2])
print(names[3])
message = names[0].title() + ", is a programmer!"
print(message)
message = names[1].title() + ", is a programmer!"
print(message)
message = names[2].title() + ", is a programmer!"
print(me... | [
14933,
796,
37250,
2588,
544,
726,
7258,
3256,
705,
2588,
544,
726,
7258,
31361,
3256,
705,
11722,
13337,
3256,
705,
87,
1530,
14234,
782,
20520,
198,
4798,
7,
14933,
58,
15,
12962,
198,
4798,
7,
14933,
58,
16,
12962,
198,
4798,
7,
... | 2.840149 | 269 |
import os
import pytest
# IMPORTANT keep this above all other borg imports to avoid inconsistent values
# for `from borg.constants import PBKDF2_ITERATIONS` (or star import) usages before
# this is executed
from borg import constants
# no fixture-based monkey-patching since star-imports are used for the constants mod... | [
11748,
28686,
198,
198,
11748,
12972,
9288,
198,
198,
2,
30023,
9863,
8643,
1394,
428,
2029,
477,
584,
275,
2398,
17944,
284,
3368,
18326,
3815,
198,
2,
329,
4600,
6738,
275,
2398,
13,
9979,
1187,
1330,
30524,
42,
8068,
17,
62,
2043,
... | 3.180602 | 299 |
import unittest
from functools import partial
import numpy as np
import pytest
from tensorkit import tensor as T
from tensorkit.variational import *
from tests.helper import *
assert_allclose_ = partial(assert_allclose, atol=1e-4)
| [
11748,
555,
715,
395,
198,
6738,
1257,
310,
10141,
1330,
13027,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
12972,
9288,
198,
198,
6738,
11192,
967,
270,
1330,
11192,
273,
355,
309,
198,
6738,
11192,
967,
270,
13,
25641,
864,
... | 3.118421 | 76 |
import json as json_parser
from kubernetes import client, config
from kubernetes.client.api.custom_objects_api import CustomObjectsApi
from pipecheck.utils import mergedicts
| [
11748,
33918,
355,
33918,
62,
48610,
198,
198,
6738,
479,
18478,
3262,
274,
1330,
5456,
11,
4566,
198,
6738,
479,
18478,
3262,
274,
13,
16366,
13,
15042,
13,
23144,
62,
48205,
62,
15042,
1330,
8562,
10267,
82,
32,
14415,
198,
198,
673... | 3.509804 | 51 |
from numpy import pi, sqrt, tanh
from scipy.optimize import root
class WaveTheory:
'''Base class for waves calculations.'''
@property
@property
@property
@property
class BoussinesqTheory(WaveTheory):
'''Boussinesq theory for dispersive waves.'''
beta = -0.531
alpha = 0.5 * beta*... | [
6738,
299,
32152,
1330,
31028,
11,
19862,
17034,
11,
25706,
71,
198,
6738,
629,
541,
88,
13,
40085,
1096,
1330,
6808,
628,
198,
4871,
17084,
464,
652,
25,
198,
220,
220,
220,
705,
7061,
14881,
1398,
329,
9813,
16765,
2637,
7061,
628,
... | 2.784091 | 176 |
import enum
from typing import (
BinaryIO,
ByteString,
Dict,
FrozenSet,
Generator,
Text,
TextIO,
Tuple,
Union,
)
from mypy_extensions import TypedDict
# Define Types
# const.py
FPDictType = Dict[int, Text]
FPSetType = FrozenSet[Tuple[int, Text]]
# retrosheet.py
TextStream = TextI... | [
11748,
33829,
198,
6738,
19720,
1330,
357,
198,
220,
220,
220,
45755,
9399,
11,
198,
220,
220,
220,
30589,
10100,
11,
198,
220,
220,
220,
360,
713,
11,
198,
220,
220,
220,
23673,
7248,
11,
198,
220,
220,
220,
35986,
11,
198,
220,
... | 2.199536 | 431 |
import bwsample as bws
| [
11748,
275,
18504,
1403,
355,
275,
18504,
628
] | 3 | 8 |
# encoding: utf-8
'''
@author: Minghao Guo
@contact: mh.guo0111@gmail.com
@software: nef
@file: imshow_mixin.py
@date: 5/6/2019
@desc:
'''
| [
2,
21004,
25,
3384,
69,
12,
23,
198,
7061,
6,
198,
31,
9800,
25,
26980,
23778,
1962,
78,
198,
31,
32057,
25,
285,
71,
13,
5162,
78,
486,
1157,
31,
14816,
13,
785,
198,
31,
43776,
25,
497,
69,
198,
31,
7753,
25,
545,
12860,
62,... | 2.089552 | 67 |
from datetime import datetime
import json
from itertools import izip
from datatypes import DataPoint
from event import ChangepointEvent
DATE_FORMAT = '%d.%m.%Y %H:%M:%S.%f'
| [
6738,
4818,
8079,
1330,
4818,
8079,
198,
11748,
33918,
198,
6738,
340,
861,
10141,
1330,
220,
528,
541,
198,
198,
6738,
4818,
265,
9497,
1330,
6060,
12727,
198,
6738,
1785,
1330,
9794,
4122,
9237,
628,
198,
35,
6158,
62,
21389,
1404,
... | 2.695652 | 69 |
from unittest import TestCase
from unittest.mock import patch, Mock
from boto3_large_message_utils.exceptions import CompressionError
from boto3_large_message_utils.builder import LargeMessageBuilder
@patch(
"boto3_large_message_utils.builder.generate_s3_object_key",
return_value="abcde-fghi-jklm-nopqrst... | [
6738,
555,
715,
395,
1330,
6208,
20448,
198,
6738,
555,
715,
395,
13,
76,
735,
1330,
8529,
11,
44123,
198,
198,
6738,
275,
2069,
18,
62,
11664,
62,
20500,
62,
26791,
13,
1069,
11755,
1330,
3082,
2234,
12331,
198,
6738,
275,
2069,
18... | 2.842391 | 184 |
# Generated by Django 3.2.5 on 2021-08-06 18:36
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
513,
13,
17,
13,
20,
319,
33448,
12,
2919,
12,
3312,
1248,
25,
2623,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
import numpy as np
import sqlalchemy
import datetime as dt
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify
from flask import session
# Database Setup
engine = create_engine("sqlite:///Resources/hawaii.sqlite... | [
11748,
299,
32152,
355,
45941,
198,
198,
11748,
44161,
282,
26599,
198,
11748,
4818,
8079,
355,
288,
83,
198,
6738,
44161,
282,
26599,
13,
2302,
13,
2306,
296,
499,
1330,
3557,
499,
62,
8692,
198,
6738,
44161,
282,
26599,
13,
579,
133... | 2.423369 | 659 |
# -*- coding: utf-8 -*
from expects import *
from expects.testing import failure
with describe('be_above_or_equal'):
with it('should pass if number is above expected'):
expect(5).to(be_above_or_equal(4))
with it('should pass if number equals expected'):
expect(5).to(be_above_or_equal(5))
... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
198,
198,
6738,
13423,
1330,
1635,
198,
6738,
13423,
13,
33407,
1330,
5287,
628,
198,
4480,
6901,
10786,
1350,
62,
29370,
62,
273,
62,
40496,
6,
2599,
198,
220,
220,
220,
351,
... | 2.461353 | 414 |
###############################################################################
# Convert sampling solns to the output format
###############################################################################
# Generate initial solutions
# Call multi-dendrix to obtaining initial solns
# Generate solns based on user-i... | [
198,
29113,
29113,
7804,
4242,
21017,
198,
2,
38240,
19232,
1540,
5907,
284,
262,
5072,
5794,
198,
198,
29113,
29113,
7804,
4242,
21017,
198,
2,
2980,
378,
4238,
8136,
220,
198,
198,
2,
4889,
5021,
12,
67,
437,
8609,
284,
16727,
4238,... | 5.444444 | 90 |
#!/usr/bin/env python3
# For given prediction directory {code[2:3]}/{code} load all predictions
# and print statistics.
import argparse
import os
import typing
import logging
import json
import dataclasses
import collections
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
@dataclasses.dataclass
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
1114,
1813,
17724,
8619,
1391,
8189,
58,
17,
25,
18,
48999,
14,
90,
8189,
92,
3440,
477,
16277,
198,
2,
290,
3601,
7869,
13,
198,
11748,
1822,
29572,
198,
11748,
28686,
198,
... | 3.08871 | 124 |
import numpy as np
import datetime
import smtplib
import logging
import time
import csv
import cv2
print ("======================START======================")
all_count = 0 #Checking finding count
true_count = 0 #Checking detection count
#open result CSV file
file = open('./result/res_Insert_name.csv', 'w')
#... | [
11748,
299,
32152,
355,
45941,
198,
11748,
4818,
8079,
198,
11748,
895,
83,
489,
571,
198,
11748,
18931,
198,
11748,
640,
198,
11748,
269,
21370,
198,
11748,
269,
85,
17,
198,
198,
4798,
5855,
4770,
50155,
2257,
7227,
4770,
50155,
4943,... | 2.377095 | 716 |
import os
ENV = os.environ.get('ACHOO_DEBUG')
| [
11748,
28686,
198,
198,
1677,
53,
796,
28686,
13,
268,
2268,
13,
1136,
10786,
16219,
6684,
62,
30531,
11537,
198
] | 2.35 | 20 |
from algo.face import Face
import dlib
# dlib's face dlib_find_faces (HOG-based)
dlib_find_faces = dlib.get_frontal_face_detector()
| [
6738,
435,
2188,
13,
2550,
1330,
15399,
198,
11748,
288,
8019,
198,
198,
2,
288,
8019,
338,
1986,
288,
8019,
62,
19796,
62,
32186,
357,
39,
7730,
12,
3106,
8,
198,
67,
8019,
62,
19796,
62,
32186,
796,
288,
8019,
13,
1136,
62,
8534... | 2.576923 | 52 |
import panel as pn
long_text = "abcde" * 10
pn.template.MaterialTemplate(
title="Hello World",
sidebar=long_text,
main=long_text,
).servable()
| [
11748,
6103,
355,
279,
77,
201,
198,
201,
198,
6511,
62,
5239,
796,
366,
39305,
2934,
1,
1635,
838,
201,
198,
201,
198,
21999,
13,
28243,
13,
17518,
30800,
7,
201,
198,
220,
220,
220,
3670,
2625,
15496,
2159,
1600,
201,
198,
220,
... | 2.371429 | 70 |
# Include with
# import os
# exec(open(os.path.join(os.path.dirname(__file__), 'sky130_sram_common.py')).read())
tech_name = "sky130"
nominal_corner_only = True
# Local wordlines have issues with met3 power routing for now
#local_array_size = 16
#route_supplies = False
check_lvsdrc = True
#perimeter_pins = Fals... | [
2,
40348,
351,
198,
2,
220,
220,
1330,
28686,
198,
2,
220,
220,
2452,
7,
9654,
7,
418,
13,
6978,
13,
22179,
7,
418,
13,
6978,
13,
15908,
3672,
7,
834,
7753,
834,
828,
705,
15688,
12952,
62,
82,
859,
62,
11321,
13,
9078,
11537,
... | 2.681373 | 204 |
import requests
import pandas as pd
import datetime
import json
import numpy as np
#Specify Timeframe
min_date = datetime.datetime.now().date() - datetime.timedelta(days=2)
max_date = datetime.datetime.now().date()
params = {"min_date": str(min_date), "max_date": str(max_date), "data_sources":"0,1,2"}
response = reque... | [
11748,
7007,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
4818,
8079,
198,
11748,
33918,
198,
11748,
299,
32152,
355,
45941,
198,
198,
2,
22882,
1958,
3862,
14535,
198,
1084,
62,
4475,
796,
4818,
8079,
13,
19608,
8079,
13,
2197,
... | 2.949541 | 654 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '../ui_files/new_dev.ui'
#
# Created: Fri Dec 19 19:55:28 2014
# by: pyside-uic 0.2.15 running on PySide 1.2.1
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore, QtGui
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
2,
5178,
7822,
7560,
422,
3555,
334,
72,
2393,
705,
40720,
9019,
62,
16624,
14,
3605,
62,
7959,
13,
9019,
6,
198,
2,
198,
2,
15622,
25,
19480,
4280,
678,
678,
... | 2.623853 | 109 |
import os
from flask import Flask, request, render_template, jsonify
from twitter import TwitterClient
app = Flask(__name__)
# Setup the client <query string, retweets_only bool, with_sentiment bool>
api = TwitterClient('@yum_dude')
@app.route('/')
@app.route('/tweets')
port = int(os.environ.get('PO... | [
11748,
28686,
201,
198,
6738,
42903,
1330,
46947,
11,
2581,
11,
8543,
62,
28243,
11,
33918,
1958,
201,
198,
6738,
17044,
1330,
3009,
11792,
201,
198,
201,
198,
1324,
796,
46947,
7,
834,
3672,
834,
8,
201,
198,
2,
31122,
262,
5456,
1... | 2.613793 | 145 |
#!/usr/bin/python
# This Python CGI script will write the color into a log file
# The log data will be agregated in a separate program and be sent to graphite
import os
import sys
import time
import fcntl
import socket
import urlparse
#import cgitb
#cgitb.enable()
print "Content-Type: text/html"
# end of headers
pr... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
198,
2,
770,
11361,
36378,
4226,
481,
3551,
262,
3124,
656,
257,
2604,
2393,
198,
2,
383,
2604,
1366,
481,
307,
556,
2301,
515,
287,
257,
4553,
1430,
290,
307,
1908,
284,
4823,
578,
198,
... | 2.793443 | 305 |
##~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~##
## ##
## This file forms part of the Underworld geophysics modelling application. ##
## ... | [
2235,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
93,
2,
... | 1.80456 | 614 |
#! /usr/bin/env python3
import sys
import re
def find_iter(target_regex, in_stream, out_stream):
"""
Iterates over all matches of 'target_regex' found in origin.txt.
Parameters
----------
target_regex
the regular expression that is searched for in in_stream
in_stream
the ... | [
2,
0,
1220,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
11748,
25064,
198,
11748,
302,
198,
198,
4299,
1064,
62,
2676,
7,
16793,
62,
260,
25636,
11,
287,
62,
5532,
11,
503,
62,
5532,
2599,
198,
220,
220,
220,
37227,
198,
220,... | 2.620571 | 875 |
from spartan import expr, util
from test_common import with_ctx
from math import sqrt
import parakeet
from spartan.expr import stencil
N_COLORS = 3
IMG_SIZE = (N_COLORS, 16, 16)
FILTER_SIZE = (5, 5)
N_IMGS = 1
N_FILTERS = 1
ONE_TILE = (10000, 10000, 10000, 10000)
@with_ctx
| [
6738,
599,
433,
272,
1330,
44052,
11,
7736,
198,
6738,
1332,
62,
11321,
1330,
351,
62,
49464,
198,
6738,
10688,
1330,
19862,
17034,
198,
11748,
1582,
539,
316,
198,
6738,
599,
433,
272,
13,
31937,
1330,
45219,
2856,
198,
198,
45,
62,
... | 2.518182 | 110 |
# SQLAlchemy
from app import db
# POSS Models
from .models import User
from .models import ApiKey
| [
2,
16363,
2348,
26599,
198,
6738,
598,
1330,
20613,
198,
198,
2,
350,
18420,
32329,
198,
6738,
764,
27530,
1330,
11787,
198,
6738,
764,
27530,
1330,
5949,
72,
9218,
628,
198
] | 3.258065 | 31 |
#!/usr/bin/python
#-*- coding:utf-8 -*-
import sys
import struct
import numpy as np
from torch import tensor
from torch.nn import functional as fn
if __name__ == '__main__':
pad_f32()
print("end")
| [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
12,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
198,
11748,
25064,
198,
11748,
2878,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
28034,
1330,
11192,
273,
198,
6738,
28034,
13,
... | 2.666667 | 78 |
# Copyright 2019 Nokia
#
# 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, softwa... | [
2,
15069,
13130,
26182,
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,
7330,
257... | 2.458395 | 3,377 |
from graphbrain import *
from graphbrain.parsers import *
if __name__ == '__main__':
text = """
Satellites from NASA and other agencies have been tracking sea ice changes
since 1979.
"""
parser = create_parser('en', lemmas=True)
parses = parser.parse(text)
for parse in parses:
pr... | [
6738,
4823,
27825,
1330,
1635,
198,
6738,
4823,
27825,
13,
79,
945,
364,
1330,
1635,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
2420,
796,
37227,
198,
220,
220,
220,
311,
7528,
2737,
422,
... | 2.510204 | 196 |
# import object from module turtle
from turtle import *
# initial state of spinner is null (stable)
state= {'turn':0 }
# Draw fidget spinner
# Animate fidget spinner
# Flick fidget spinner
# setup window screen
setup(600, 400, 370, 0)
bgcolor("black")
tracer(False)
# wing of fidget spinner
width(60)
color("oran... | [
2,
1330,
2134,
422,
8265,
28699,
198,
6738,
28699,
1330,
1635,
198,
198,
2,
4238,
1181,
286,
599,
5083,
318,
9242,
357,
31284,
8,
198,
5219,
28,
1391,
6,
15344,
10354,
15,
1782,
198,
198,
2,
15315,
277,
17484,
599,
5083,
198,
198,
... | 2.957447 | 141 |
"""Support for binary sensors to display Proxmox VE data."""
import homeassistant.components.proxmox as proxmox
from homeassistant.components.binary_sensor import BinarySensorDevice
from homeassistant.const import ATTR_ATTRIBUTION
DEVICE_CLASS = 'connectivity'
ATTRIBUTION = 'Data provided by Proxmox'
async def async... | [
37811,
15514,
329,
13934,
15736,
284,
3359,
1041,
87,
76,
1140,
569,
36,
1366,
526,
15931,
198,
11748,
1363,
562,
10167,
13,
5589,
3906,
13,
1676,
87,
76,
1140,
355,
14793,
76,
1140,
198,
6738,
1363,
562,
10167,
13,
5589,
3906,
13,
... | 2.301916 | 1,305 |