content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import numpy as np
import matplotlib.pyplot as plt
# from scipy.constants import G
# Setting plotting parameters
from matplotlib import rc,rcParams
rc('text', usetex=True)
rc('axes', linewidth=2)
rc('font', weight='bold')
rc('font', **{'family': 'serif', 'serif':['Computer Modern']})
# def rk4_func(params):
# s1, ... | [
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
2,
422,
629,
541,
88,
13,
9979,
1187,
1330,
402,
198,
198,
2,
25700,
29353,
10007,
198,
6738,
2603,
29487,
8019,
1330,
48321,
11,
6015,
... | 1.717224 | 1,556 |
""" Provides functionality to calculate software metrics in python projects.
"""
from recoda.analyse.python import (
_general,
_installability,
_understandability,
_verifiability,
_correctness,
)
from recoda.analyse.independent import (
learnability,
openness
)
# pylint: disable-msg=c0103... | [
37811,
47081,
11244,
284,
15284,
3788,
20731,
287,
21015,
4493,
13,
198,
37811,
198,
198,
6738,
664,
11329,
13,
38200,
325,
13,
29412,
1330,
357,
198,
220,
220,
220,
4808,
24622,
11,
198,
220,
220,
220,
4808,
17350,
1799,
11,
198,
220... | 3.421687 | 498 |
__pyarmor__(__name__, __file__, b'\xe2\x50\x8c\x64\x26\x42\xd6\x01\x5c\x5c\xf8\xa8\x85\x0c\x21\xe7\x0a\xa2\x45\x58\x6e\xc9\x3c\xd5\x55\x40\x64\x69\x7d\x5f\x63\xcb\x41\xdc\x71\xdf\x4d\x82\x99\xc8\xc1\x98\xfd\x46\x67\x20\x2f\xed\x4b\xf6\xf9\x41\x55\x5c\x47\x3c\x78\x07\x75\x5d\x9b\x88\xa2\x6e\x5e\x78\xf3\x9c\x88\xba\xed\x... | [
834,
9078,
40456,
834,
7,
834,
3672,
834,
11,
11593,
7753,
834,
11,
275,
6,
59,
27705,
17,
59,
87,
1120,
59,
87,
23,
66,
59,
87,
2414,
59,
87,
2075,
59,
87,
3682,
59,
24954,
21,
59,
87,
486,
59,
87,
20,
66,
59,
87,
20,
66,... | 1.252442 | 1,331 |
import datetime
import os
import textwrap
import click
from PIL import Image, ImageDraw, ImageFont
from metarmap.configuration import config, debug, get_display_lock_content, set_display_lock_content
from metarmap.libraries.aviationweather import metar
from metarmap.libraries.waveshare_epd import epd2in13_V2
FONTDIR... | [
11748,
4818,
8079,
198,
11748,
28686,
198,
11748,
2420,
37150,
198,
198,
11748,
3904,
198,
6738,
350,
4146,
1330,
7412,
11,
7412,
25302,
11,
7412,
23252,
198,
198,
6738,
1138,
1670,
499,
13,
11250,
3924,
1330,
4566,
11,
14257,
11,
651,
... | 2.494545 | 275 |
import os
from django.template import RequestContext
from django.shortcuts import render_to_response, get_object_or_404, redirect
from django.contrib.formtools.wizard.views import NamedUrlSessionWizardView
from django.core.urlresolvers import reverse
from django.conf import settings
from django.views.generic import D... | [
11748,
28686,
198,
198,
6738,
42625,
14208,
13,
28243,
220,
1330,
19390,
21947,
198,
6738,
42625,
14208,
13,
19509,
23779,
1330,
8543,
62,
1462,
62,
26209,
11,
651,
62,
15252,
62,
273,
62,
26429,
11,
18941,
198,
6738,
42625,
14208,
13,
... | 2.111702 | 752 |
# Min Heap Implementation
| [
2,
1855,
679,
499,
46333,
198
] | 4.333333 | 6 |
# This code is based on the code
# from ann-benchmark repository
# created by Erik Bernhardsson
# https://github.com/erikbern/ann-benchmarks
import gzip
import numpy
import time
import os
import multiprocessing
import argparse
import pickle
import resource
import random
import math
import logging
import shutil
import... | [
2,
770,
2438,
318,
1912,
319,
262,
2438,
198,
2,
422,
1529,
12,
26968,
4102,
16099,
220,
198,
2,
2727,
416,
22722,
6206,
10424,
16528,
220,
198,
2,
3740,
1378,
12567,
13,
785,
14,
263,
1134,
33900,
14,
1236,
12,
26968,
14306,
198,
... | 2.21424 | 4,677 |
from .ars import ARSLearner
| [
6738,
764,
945,
1330,
5923,
8634,
451,
1008,
198
] | 3.111111 | 9 |
from setuptools import setup
setup(
name="cre",
packages=["cre"],
version="0.1.0",
author="Philipp Schiffmann",
author_email="philippschiffmann@icloud.com",
url="https://github.com/elaru/python3-cre",
description="A regular expression processor implemented in python.",
license="ISC",
classifiers=[
"Developm... | [
6738,
900,
37623,
10141,
1330,
9058,
198,
198,
40406,
7,
198,
197,
3672,
2625,
7513,
1600,
198,
197,
43789,
28,
14692,
7513,
33116,
198,
197,
9641,
2625,
15,
13,
16,
13,
15,
1600,
198,
197,
9800,
2625,
49680,
41665,
9038,
1600,
198,
... | 2.971154 | 208 |
import enum
DEFAULT_FILE_NAME = 'DEFAULT'
RANDOM_MIX_CONFIG_NAME = 'RandomMix'
WIDTH_NAME = 'Width'
HIGHT_NAME = 'Hight' | [
11748,
33829,
198,
198,
7206,
38865,
62,
25664,
62,
20608,
796,
705,
7206,
38865,
6,
198,
198,
49,
6981,
2662,
62,
8895,
55,
62,
10943,
16254,
62,
20608,
796,
705,
29531,
35608,
6,
198,
54,
2389,
4221,
62,
20608,
796,
705,
30916,
6,... | 2.301887 | 53 |
import collections
import functools
import typing as t
from nr.util.generic import T
T_OrderedSet = t.TypeVar('T_OrderedSet', bound='OrderedSet')
| [
198,
11748,
17268,
198,
11748,
1257,
310,
10141,
198,
11748,
19720,
355,
256,
198,
198,
6738,
299,
81,
13,
22602,
13,
41357,
1330,
309,
198,
198,
51,
62,
35422,
1068,
7248,
796,
256,
13,
6030,
19852,
10786,
51,
62,
35422,
1068,
7248,
... | 3 | 50 |
import re
from netmiko.ssh_connection import SSHConnection
| [
11748,
302,
198,
6738,
2010,
76,
12125,
13,
45824,
62,
38659,
1330,
33825,
32048,
628
] | 4 | 15 |
"""{Build token: cluster index}, hashes for each specified granularity level in the user-defined list 'clustering_levels_to_consider'
Output: level_xx_hash.json hash to /cluster_hashes
"""
import json
import os
import pickle as pkl
import typing
import numpy as np
def cluster_index_to_tokens(cluster_index: int, ... | [
37811,
90,
15580,
11241,
25,
13946,
6376,
5512,
46621,
329,
1123,
7368,
19468,
33737,
1241,
287,
262,
2836,
12,
23211,
1351,
705,
565,
436,
1586,
62,
46170,
62,
1462,
62,
44353,
6,
198,
198,
26410,
25,
1241,
62,
5324,
62,
17831,
13,
... | 2.495208 | 313 |
# Copyright (c) 2018, MD2K Center of Excellence
# - Nasir Ali <nasir.ali08@gmail.com>
# 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 the above cop... | [
2,
15069,
357,
66,
8,
2864,
11,
10670,
17,
42,
3337,
286,
42525,
198,
2,
532,
22767,
343,
12104,
1279,
24716,
343,
13,
7344,
2919,
31,
14816,
13,
785,
29,
198,
2,
1439,
2489,
10395,
13,
198,
2,
198,
2,
2297,
396,
3890,
290,
779,... | 2.982301 | 678 |
import sys
import networkx as nx
#from simhash import Simhash, SimhashIndex
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
# if there is a problem with gensim and Word2Vec, check the python version
# to be 2.7
# print('Hello from {}'.format(sys.versi... | [
11748,
25064,
198,
198,
11748,
3127,
87,
355,
299,
87,
198,
2,
6738,
985,
17831,
1330,
3184,
17831,
11,
3184,
17831,
15732,
198,
6738,
1341,
35720,
13,
30053,
62,
2302,
7861,
13,
5239,
1330,
309,
69,
312,
69,
38469,
7509,
198,
6738,
... | 2.62575 | 2,835 |
'''
Modifed from code by Stephan Rabanser https://github.com/steverab/failing-loudly
Plot test results across hospitals
Usage:
# region
python generate_hosp_plot.py --datset eicu --path orig --test_type multiv --num_hosp 4 --random_runs 100 --min_samples 5000 --sens_attr race --group --group_type regions --limit_sam... | [
7061,
6,
198,
5841,
361,
276,
422,
2438,
416,
20800,
28559,
504,
263,
3740,
1378,
12567,
13,
785,
14,
301,
964,
397,
14,
69,
11608,
12,
75,
2778,
306,
198,
198,
43328,
1332,
2482,
1973,
11301,
198,
198,
28350,
25,
198,
198,
2,
381... | 2.037888 | 13,619 |
import sys
import csv
import logging
import datetime
from website.app import setup_django
setup_django()
from osf.models import Node, SpamStatus
from django.db.models import Count
from scripts import utils as script_utils
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
if __name__ == ... | [
11748,
25064,
198,
11748,
269,
21370,
198,
11748,
18931,
198,
11748,
4818,
8079,
198,
198,
6738,
3052,
13,
1324,
1330,
9058,
62,
28241,
14208,
198,
40406,
62,
28241,
14208,
3419,
198,
198,
6738,
267,
28202,
13,
27530,
1330,
19081,
11,
1... | 3.0625 | 112 |
#!/usr/bin/env python
"""Set up aiida-testing package."""
import os
import warnings
import setuptools
from setuptools.config import read_configuration
try:
import fastentrypoints # NOQA # pylint: disable=unused-import
except ImportError:
warnings.warn(
"The 'fastentrypoints' module could not be loa... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
37811,
7248,
510,
257,
72,
3755,
12,
33407,
5301,
526,
15931,
198,
198,
11748,
28686,
198,
11748,
14601,
198,
198,
11748,
900,
37623,
10141,
198,
6738,
900,
37623,
10141,
13,
11250,
1330... | 2.608696 | 299 |
import os
import time
import h5py
import json
from PIL import Image
import torch
from torch import nn
import torchvision
import torchvision.transforms as transforms
import torch.optim
import torch.nn.functional as F
from torch.utils.data.dataset import random_split
from torch.utils.data import Dataset
from torch.nn.... | [
11748,
28686,
198,
11748,
640,
198,
11748,
289,
20,
9078,
198,
11748,
33918,
198,
6738,
350,
4146,
1330,
7412,
198,
198,
11748,
28034,
198,
6738,
28034,
1330,
299,
77,
198,
11748,
28034,
10178,
198,
11748,
28034,
10178,
13,
7645,
23914,
... | 2.157265 | 3,847 |
from dataclasses import dataclass, field
from typing import List, Optional
from .access_delegate import AccessDelegate
from .password_state import PasswordState
from .user import User
| [
6738,
4818,
330,
28958,
1330,
4818,
330,
31172,
11,
2214,
198,
6738,
19720,
1330,
7343,
11,
32233,
198,
198,
6738,
764,
15526,
62,
2934,
34637,
1330,
8798,
5005,
34637,
198,
6738,
764,
28712,
62,
5219,
1330,
30275,
9012,
198,
6738,
764,... | 4.133333 | 45 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
import pulumi.runtime
| [
2,
19617,
28,
40477,
12,
23,
198,
2,
17202,
39410,
25,
428,
2393,
373,
7560,
416,
262,
21624,
12994,
24118,
687,
10290,
357,
27110,
5235,
8,
16984,
13,
17202,
198,
2,
17202,
2141,
407,
4370,
416,
1021,
4556,
345,
821,
1728,
345,
760... | 3.622951 | 61 |
from __future__ import annotations
from abc import abstractmethod
from collections.abc import Collection, Sequence
from datetime import datetime
from typing import TypeVar, Protocol
from ..bytes import Writeable
from ..flags import SessionFlags
from ..parsing.response.fetch import EnvelopeStructure, BodyStructure
fr... | [
198,
6738,
11593,
37443,
834,
1330,
37647,
198,
198,
6738,
450,
66,
1330,
12531,
24396,
198,
6738,
17268,
13,
39305,
1330,
12251,
11,
45835,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
6738,
19720,
1330,
5994,
19852,
11,
20497,
198,
1... | 3.579767 | 257 |
import glob
for file in glob.glob("*.lrc"):
filename = file[0:7] # assume fnt-xxx.lrc file format
lrc_file = open(file, encoding="utf-8")
lrc_lines = lrc_file.readlines()
lrc_file.close()
label = open(filename + '.txt', 'w', encoding="utf-8")
print(filename)
for line in lrc_lines[3:]:
... | [
11748,
15095,
198,
198,
1640,
2393,
287,
15095,
13,
4743,
672,
7203,
24620,
75,
6015,
1,
2599,
198,
220,
220,
220,
29472,
796,
2393,
58,
15,
25,
22,
60,
220,
1303,
7048,
277,
429,
12,
31811,
13,
75,
6015,
2393,
5794,
628,
220,
220... | 2.201413 | 283 |
import math
from rlbot.agents.base_agent import SimpleControllerState
from rlbot.utils.structures.game_data_struct import GameTickPacket
from driving.drive import drive_to_target
from base.action import Action
from base.car import Car
from base.ball import Ball
from util.vec import Vec3
from util.boost import BoostTrac... | [
11748,
10688,
198,
6738,
374,
75,
13645,
13,
49638,
13,
8692,
62,
25781,
1330,
17427,
22130,
9012,
198,
6738,
374,
75,
13645,
13,
26791,
13,
7249,
942,
13,
6057,
62,
7890,
62,
7249,
1330,
3776,
51,
624,
47,
8317,
198,
6738,
5059,
13... | 3.707865 | 89 |
import sys
from tkinter import *
from tkinter import filedialog
####################
# FUNCTIONS #
####################
#########################
# TEXT EDITOR
#########################
# Create text editor
text_editor = Tk("Kenza's text editor")
# Add text widget
text = Text(text_editor)
text.grid()
#... | [
11748,
25064,
198,
6738,
256,
74,
3849,
1330,
1635,
198,
6738,
256,
74,
3849,
1330,
5717,
498,
519,
198,
198,
14468,
4242,
198,
2,
29397,
4177,
11053,
1303,
198,
14468,
4242,
628,
628,
628,
628,
198,
14468,
7804,
2,
198,
220,
220,
2... | 2.566929 | 508 |
""" Default import all .py files in current directory """
from glob import iglob
from re import search
__all__ = []
""" Find all DB model modules and their paths """
for path in iglob('./**/*.py', recursive=True):
model_pattern = '.*/models/\w+\.py'
if search(model_pattern, path) is not None:
""" Get ... | [
37811,
15161,
1330,
477,
764,
9078,
3696,
287,
1459,
8619,
37227,
198,
6738,
15095,
1330,
220,
38686,
672,
198,
6738,
302,
1330,
2989,
198,
198,
834,
439,
834,
796,
17635,
198,
198,
37811,
9938,
477,
20137,
2746,
13103,
290,
511,
13532,... | 2.651515 | 198 |
from tdoa_sim import TDOASim
import numpy as np
| [
6738,
256,
4598,
64,
62,
14323,
1330,
13320,
46,
1921,
320,
198,
11748,
299,
32152,
355,
45941,
628,
198
] | 2.631579 | 19 |
#! usr/bin/python3
import pandas as pd
import re
import numpy as np
import os
import sys
from collections import OrderedDict, defaultdict
import matplotlib as mpl
import matplotlib.pyplot as plt
# import seaborn as sns
from scipy import stats, integrate
# sns.set() # switch to seaborn default
# sns.set_style("whitegr... | [
2,
0,
514,
81,
14,
8800,
14,
29412,
18,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
302,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28686,
198,
11748,
25064,
198,
6738,
17268,
1330,
14230,
1068,
35,
713,
11,
4277,
11... | 2.050328 | 1,371 |
from abc import abstractmethod
from datetime import datetime, timedelta
from enum import Enum, unique
from io import RawIOBase
from json import dumps, load
from string import hexdigits
from typing import ClassVar, Generator, Generic, Iterable, List, Optional, \
Sequence, Type, TypeVar, Union, cast
f... | [
6738,
450,
66,
1330,
12531,
24396,
198,
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
198,
6738,
33829,
1330,
2039,
388,
11,
3748,
198,
6738,
33245,
1330,
16089,
9399,
14881,
198,
6738,
33918,
1330,
45514,
11,
3440,
198,
6738,
4... | 2.575269 | 372 |
from functools import reduce
from typing import List, Optional
from opennem.core.normalizers import is_single_number
def station_code_from_duids(duids: List[str]) -> Optional[str]:
"""
Derives a station code from a list of duids
ex.
BARRON1,BARRON2 => BARRON
OSBAG,OSBAG => OSB... | [
6738,
1257,
310,
10141,
1330,
4646,
198,
6738,
19720,
1330,
7343,
11,
32233,
198,
198,
6738,
1280,
77,
368,
13,
7295,
13,
11265,
11341,
1330,
318,
62,
29762,
62,
17618,
628,
628,
198,
4299,
4429,
62,
8189,
62,
6738,
62,
646,
2340,
7... | 2.314448 | 353 |
from database.interface import FirebaseInterface
| [
6738,
6831,
13,
39994,
1330,
3764,
8692,
39317,
628
] | 5.555556 | 9 |
# Tuples are immutable
print("============ tuples ============")
print()
tuples = (12345, 54321, 'hello!')
print(tuples)
u = tuples, (1, 2, 3, 4, 5)
print(u)
# The statement t = 12345, 54321, 'hello!' is an example of tuple packing:
# the values 12345, 54321 and 'hello!'
# are packed together in a tuple. The revers... | [
2,
16749,
2374,
389,
40139,
198,
4798,
7203,
25609,
12777,
2374,
796,
2559,
855,
2625,
8,
198,
4798,
3419,
198,
198,
28047,
2374,
796,
357,
10163,
2231,
11,
642,
3559,
2481,
11,
705,
31373,
0,
11537,
198,
198,
4798,
7,
28047,
2374,
... | 2.76087 | 138 |
"""
This class consumes and lcmlog, extracts the images and saves them
to png
"""
import os
# director imports
import director.vtkAll as vtk
from director import filterUtils
from director import lcmUtils
from director import cameraview
import bot_core as lcmbotcore
from . import utils
| [
37811,
198,
1212,
1398,
37225,
290,
300,
66,
4029,
519,
11,
32139,
262,
4263,
290,
16031,
606,
198,
1462,
279,
782,
198,
37811,
198,
11748,
28686,
198,
198,
2,
3437,
17944,
198,
11748,
3437,
13,
85,
30488,
3237,
355,
410,
30488,
198,
... | 3.506024 | 83 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 3 16:59:33 2021
@author: dopiwoo
Given the head of a LinkedList and a number 'k', reverse every alternating 'k' sized sub-list starting from the head.
If, in the end, you are left with a sub-list with less than 'k' elements, reverse it too.
"""
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
3300,
3158,
220,
513,
1467,
25,
3270,
25,
2091,
33448,
198,
198,
31,
9800,
25,
22340,
142... | 2.13459 | 743 |
from typing import Text, Dict
import torch
from torch.utils.data import Dataset
| [
6738,
19720,
1330,
8255,
11,
360,
713,
198,
198,
11748,
28034,
198,
6738,
28034,
13,
26791,
13,
7890,
1330,
16092,
292,
316,
628,
628,
628,
628,
198
] | 3.296296 | 27 |
# -*- coding: utf-8 -*-
from authlib.client.apps import github
from authlib.flask.client import OAuth
from etcd import Client
from flask import session
from flask_caching import Cache
from flask_mako import MakoTemplates
from flask_session import Session
from flask_sockets import Sockets
from flask_sqlalchemy import S... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
6738,
6284,
8019,
13,
16366,
13,
18211,
1330,
33084,
198,
6738,
6284,
8019,
13,
2704,
2093,
13,
16366,
1330,
440,
30515,
198,
6738,
3503,
67,
1330,
20985,
198,
6738... | 2.970339 | 236 |
import json
import random
import os
import re
from faker import Faker
################################################################################
# Some settings:
################################################################################
ADMIN_COUNT = 2
STUDENT_COUNT = 40
LECTURER_COUNT = 10
EXAM_REG_COU... | [
11748,
33918,
198,
11748,
4738,
198,
11748,
28686,
198,
11748,
302,
198,
198,
6738,
277,
3110,
1330,
376,
3110,
628,
198,
29113,
29113,
14468,
198,
2,
2773,
6460,
25,
198,
29113,
29113,
14468,
198,
198,
2885,
23678,
62,
34,
28270,
796,
... | 2.526682 | 862 |
###LATTICE OPERATIONS
from .data_structure_definitions import *
| [
21017,
43,
17139,
8476,
43521,
18421,
198,
198,
6738,
764,
7890,
62,
301,
5620,
62,
4299,
50101,
1330,
1635,
198,
220,
220,
198,
220,
220,
220,
220
] | 2.666667 | 27 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/10/28 0028 11:34
# @Author : Hadrianl
# @File : widget
from vnpy.event import EventEngine, Event
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import QtWidgets, QtCore
from ..engine import APP_NAME
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
2488,
7575,
220,
220,
220,
1058,
12131,
14,
940,
14,
2078,
3571,
2078,
1367,
25,
2682,
198,
2,
2488,
13838,
220,
... | 2.553571 | 112 |
#!/usr/bin/env python
"""Define routes for CRUD operations on users."""
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from application.models import (Base,
Gift,
Claim,
User)
from flask import (request,
redi... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
37811,
7469,
500,
11926,
329,
8740,
8322,
4560,
319,
2985,
526,
15931,
198,
198,
6738,
44161,
282,
26599,
1330,
2251,
62,
18392,
198,
6738,
44161,
282,
26599,
13,
579,
1330,
6246,
... | 2.434694 | 490 |
from flask import Flask
import requests
from bs4 import BeautifulSoup
import os
import sqlite3
import logging
logging.basicConfig(filename='example.log', level=logging.DEBUG)
URL = os.environ['SOURCE_URL']
AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661... | [
6738,
42903,
1330,
46947,
198,
11748,
7007,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
198,
11748,
28686,
198,
11748,
44161,
578,
18,
198,
11748,
18931,
198,
198,
6404,
2667,
13,
35487,
16934,
7,
34345,
11639,
20688,
13,
6404,
3256... | 2.813953 | 129 |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_bcrypt import Bcrypt
from flask_login import LoginManager
from flask_mail import Mail
from nodaysoff.config import Config
# from flask_session import Session
db = SQLAlchemy()
bcrypt = Bcrypt()
login_manager = LoginManager()
login_ma... | [
6738,
42903,
1330,
46947,
201,
198,
6738,
42903,
62,
25410,
282,
26599,
1330,
16363,
2348,
26599,
201,
198,
6738,
42903,
62,
15630,
6012,
1330,
347,
29609,
201,
198,
6738,
42903,
62,
38235,
1330,
23093,
13511,
201,
198,
6738,
42903,
62,
... | 3.273438 | 128 |
# scrip to test the lobpcg_sep eigenvalue solver
include("../src/lobpcg_sep.jl")
using LinearAlgebra
Ns = 100
k = 5 # number of eigenvectors
A = sqrt(Ns)*Diagonal(ones(Ns)) + rand(Ns, Ns)
A = 0.5*(A + A')
(e, X) = eigen(A)
# orthonormal starting guess of the eigenvectors
X0 = qr(rand(Ns, k + 6)).Q[:, 1:k+6]
#comp... | [
2,
629,
5528,
284,
1332,
262,
6804,
14751,
70,
62,
325,
79,
304,
9324,
8367,
1540,
332,
198,
17256,
7203,
40720,
10677,
14,
75,
672,
14751,
70,
62,
325,
79,
13,
20362,
4943,
198,
198,
3500,
44800,
2348,
29230,
198,
198,
47503,
796,
... | 2.301325 | 302 |
"""
Implementation of a ButtonEditor demo plugin for Traits UI demo program.
This demo shows each of the two styles of the ButtonEditor.
(As of this writing, they are identical.)
"""
from traits.api import HasTraits, Button
from traitsui.api import Item, View, Group
from traitsui.message import message
#-----------... | [
37811,
198,
3546,
32851,
286,
257,
20969,
17171,
13605,
13877,
329,
4759,
896,
12454,
13605,
1430,
13,
198,
198,
1212,
13605,
2523,
1123,
286,
262,
734,
12186,
286,
262,
20969,
17171,
13,
198,
7,
1722,
286,
428,
3597,
11,
484,
389,
10... | 4.331034 | 145 |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import setuptools
version='0.1'
setuptools.setup(
name='TracDevPlatformPlugin',
version=version,
description='Provide helpers to ease development on top of Trac',
author='Felix Schwarz',
author_email='felix.schwarz@oss.schwarz.eu',
url='http:/... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
41002,
12,
23,
532,
9,
12,
198,
198,
11748,
900,
37623,
10141,
198,
198,
9641,
11639,
15,
13,
16,
6,
198,
2617,
37623,
10141,
13,
40406,
7,
198,
220,
22... | 2.545259 | 464 |
from pynput.keyboard import Key, Listener
import logging
logging.basicConfig(filename=("keylog.txt"), level=logging.DEBUG, format=" %(asctime)s - %(message)s")
with Listener(on_press=on_press) as listener:
listener.join() | [
6738,
279,
2047,
1996,
13,
2539,
3526,
1330,
7383,
11,
7343,
877,
198,
11748,
18931,
198,
198,
6404,
2667,
13,
35487,
16934,
7,
34345,
28,
7203,
2539,
6404,
13,
14116,
12340,
1241,
28,
6404,
2667,
13,
30531,
11,
5794,
2625,
4064,
7,
... | 2.8625 | 80 |
# Generated by Django 2.2.6 on 2019-11-02 09:32
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
| [
2,
2980,
515,
416,
37770,
362,
13,
17,
13,
21,
319,
13130,
12,
1157,
12,
2999,
7769,
25,
2624,
198,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
198,
11748,
42625,
14... | 3.017857 | 56 |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import random
import datetime
from tkinter import *
from tkinter import messagebox
from tkinter import ttk
import functools
# import pathlib
from conflista import Bot
from salvacode import Salvar
from escreve import escreve... | [
6738,
384,
11925,
1505,
1330,
3992,
26230,
198,
6738,
384,
11925,
1505,
13,
12384,
26230,
13,
11321,
13,
13083,
1330,
26363,
198,
198,
11748,
640,
198,
11748,
4738,
198,
11748,
4818,
8079,
198,
198,
6738,
256,
74,
3849,
1330,
1635,
198,... | 2.523936 | 752 |
"""
process_atac.py
Margaret Guo
04/15/2020
footprinting (.bed) --> csv)
notebooks
- make_hichip_df-withsnps-cancer-only
"""
#### FIX FOR HOCO
| [
37811,
198,
14681,
62,
265,
330,
13,
9078,
198,
198,
24428,
8984,
1962,
78,
198,
198,
3023,
14,
1314,
14,
42334,
628,
198,
5898,
4798,
278,
20262,
3077,
8,
14610,
269,
21370,
8,
628,
198,
198,
11295,
12106,
198,
12,
787,
62,
71,
4... | 2.307692 | 65 |
"""
-------------------------------------------------
# @Project :
# @File :login
# @Date :2021/8/1 18:16
# @Author :
# @Email :1224069978
# @Software :PyCharm
-------------------------------------------------
"""
import hashlib,copy,requests
from conf.host import *
if __name__ == '__main__':
print... | [
37811,
198,
47232,
12,
198,
2,
2488,
16775,
220,
1058,
198,
2,
2488,
8979,
220,
220,
220,
220,
1058,
38235,
198,
2,
2488,
10430,
220,
220,
220,
220,
1058,
1238,
2481,
14,
23,
14,
16,
1248,
25,
1433,
198,
2,
2488,
13838,
220,
220,
... | 3.044643 | 112 |
# Supporting Module
# identities.py
| [
198,
2,
44188,
19937,
198,
2,
18413,
13,
9078,
628,
628,
628
] | 3.5 | 12 |
#!/usr/bin/env python2
# Design Decisions
# Heuristic : Heuristic tries to maximize the pieces of that particular player on top n rows
# Min-Max : Min-Max algorithm has been used
# IDS : Iterative deepening search has been used to move down the tree(depth:100)
# No Time Constrain : No time constrain has been taken.In... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
17,
220,
198,
2,
8495,
4280,
3279,
198,
2,
679,
27915,
1058,
679,
27915,
8404,
284,
20487,
262,
5207,
286,
326,
1948,
2137,
319,
1353,
299,
15274,
198,
2,
1855,
12,
11518,
1058,
1855,
12,... | 1.273569 | 8,104 |
binary.memoize = {0: '0', 1: '1'}
n_f = 9
with open('command_lines.txt', 'w') as out:
for i in range(2**n_f):
out.write('/home/nversbra/anaconda3/envs/py36/bin/python random_forest.py dida_posey_to_predict.csv 100 50 1-1-1 %s\n' % get_binary_l(i, n_f))
| [
39491,
13,
11883,
78,
1096,
796,
1391,
15,
25,
705,
15,
3256,
352,
25,
705,
16,
6,
92,
201,
198,
201,
198,
77,
62,
69,
796,
860,
201,
198,
4480,
1280,
10786,
21812,
62,
6615,
13,
14116,
3256,
705,
86,
11537,
355,
503,
25,
201,
... | 1.971014 | 138 |
"""
Functions for plotting the signal to noise per angular bin.
"""
import math
import os.path
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import angular_binning.like_cf_gauss as like_cf
DEG_TO_RAD = math.pi / 180.0
def plot_cl_cf(diag_she_cl_path, she_nl_path, lmin, lmax, theta_min, the... | [
37811,
198,
24629,
2733,
329,
29353,
262,
6737,
284,
7838,
583,
32558,
9874,
13,
198,
37811,
198,
198,
11748,
10688,
198,
11748,
28686,
13,
6978,
198,
198,
11748,
2603,
29487,
8019,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
4... | 2.204479 | 7,903 |
"""
test_18_confirm_purchase
As a developer building a service provider Agent for Ocean,
I need a way to confirm if an Asset has been sucessfully puchased so that
I can determine whether to serve the asset to a given requestor
"""
import secrets
import logging
import json
from starfish.asset import ... | [
37811,
198,
220,
220,
220,
1332,
62,
1507,
62,
10414,
2533,
62,
79,
18737,
628,
220,
220,
220,
1081,
257,
8517,
2615,
257,
2139,
10131,
15906,
329,
10692,
11,
198,
220,
220,
220,
314,
761,
257,
835,
284,
6216,
611,
281,
31433,
468,
... | 3.521277 | 94 |
from blaze.expr import TableSymbol
from blaze.expr.datetime import isdatelike
from blaze.compatibility import builtins
from datashape import dshape
import pytest
| [
6738,
31259,
13,
31937,
1330,
8655,
13940,
23650,
198,
6738,
31259,
13,
31937,
13,
19608,
8079,
1330,
318,
4475,
2339,
198,
6738,
31259,
13,
5589,
25901,
1330,
3170,
1040,
198,
6738,
4818,
1077,
1758,
1330,
288,
43358,
198,
198,
11748,
... | 3.711111 | 45 |
import argparse
import os
import time
import gym
import warnings
# Parts of the code are inspired by the AutoML3 competition
from sys import argv, path
from os import getcwd
from os.path import join
verbose = True
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="The experiment run... | [
11748,
1822,
29572,
198,
11748,
28686,
198,
11748,
640,
198,
11748,
11550,
198,
11748,
14601,
198,
198,
2,
22349,
286,
262,
2438,
389,
7867,
416,
262,
11160,
5805,
18,
5449,
198,
6738,
25064,
1330,
1822,
85,
11,
3108,
198,
6738,
28686,
... | 2.233672 | 689 |
from volga.json import foo_test
| [
6738,
2322,
4908,
13,
17752,
1330,
22944,
62,
9288,
628
] | 3.3 | 10 |
# This Project is in it's early stages of Development.
# Working on new features and main menu.
# Any Questions or Suggestions please Mail to: hendriksdevmail@gmail.com
# Version: 1.0.0
from selenium import webdriver
from colorama import Fore, Back, Style
import warnings
import time
import random
import string
imp... | [
2,
220,
770,
4935,
318,
287,
340,
338,
1903,
9539,
286,
7712,
13,
198,
2,
220,
14594,
319,
649,
3033,
290,
1388,
6859,
13,
198,
2,
220,
4377,
20396,
393,
35042,
507,
3387,
11099,
284,
25,
339,
358,
39370,
7959,
4529,
31,
14816,
13... | 1.987922 | 5,299 |
from fixation.models import get_id, Message, MsgContent, Component, Field, Enum
import os
| [
6738,
48785,
13,
27530,
1330,
651,
62,
312,
11,
16000,
11,
6997,
70,
19746,
11,
35100,
11,
7663,
11,
2039,
388,
198,
198,
11748,
28686,
628,
198
] | 3.444444 | 27 |
######################
# Loading word2vec
######################
import os
from threading import Semaphore
import gensim
from gensim.models import KeyedVectors
pathToBinVectors = '/Users/kanishksinha/Downloads/GoogleNews-vectors-negative300.bin'
newFilePath = '/Users/kanishksinha/Downloads/GoogleNews-vectors-negative... | [
198,
14468,
4242,
2235,
198,
2,
12320,
1573,
17,
35138,
198,
14468,
4242,
2235,
198,
11748,
28686,
198,
6738,
4704,
278,
1330,
12449,
6570,
382,
198,
11748,
308,
641,
320,
198,
6738,
308,
641,
320,
13,
27530,
1330,
7383,
276,
53,
478,... | 3.433754 | 634 |
lista = []
x = 0
while x != 999:
x = int(input('Numero: '))
if x not in lista:
lista.append(x)
lista.sort()
print(lista)
| [
4868,
64,
796,
17635,
198,
87,
796,
657,
198,
4514,
2124,
14512,
36006,
25,
198,
220,
2124,
796,
493,
7,
15414,
10786,
33111,
3529,
25,
705,
4008,
198,
220,
611,
2124,
407,
287,
1351,
64,
25,
198,
220,
220,
220,
1351,
64,
13,
3329... | 2.126984 | 63 |
"""
Copyright 2021 Janrey "CodexLink" Licas
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, s... | [
37811,
198,
15269,
33448,
2365,
4364,
366,
43806,
1069,
11280,
1,
10483,
292,
198,
198,
26656,
15385,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
5832,
743,
407,
779,
428,
2393,
2845,
287,
11846,
... | 3.347305 | 334 |
import logging
import re
from abc import ABC, abstractmethod
from typing import Dict, Any, List, Set, Optional, Generic, TypeVar, Tuple
from sqlalchemy import text
from sqlalchemy.sql.elements import TextClause
from fidesops.graph.config import ROOT_COLLECTION_ADDRESS, CollectionAddress
from fidesops.graph.traversal ... | [
11748,
18931,
198,
11748,
302,
198,
6738,
450,
66,
1330,
9738,
11,
12531,
24396,
198,
6738,
19720,
1330,
360,
713,
11,
4377,
11,
7343,
11,
5345,
11,
32233,
11,
42044,
11,
5994,
19852,
11,
309,
29291,
198,
198,
6738,
44161,
282,
26599,... | 2.515464 | 873 |
print("debug_print: 42")
print("")
print("Hello")
#!
#<->#
#debug_print: 42
#
#Hello
#<->#
| [
4798,
7203,
24442,
62,
4798,
25,
5433,
4943,
198,
4798,
7203,
4943,
198,
4798,
7203,
15496,
4943,
198,
2,
0,
198,
2,
27,
3784,
2,
198,
2,
24442,
62,
4798,
25,
5433,
198,
2,
198,
2,
15496,
198,
2,
27,
3784,
2,
198
] | 2.116279 | 43 |
from flask import request, redirect
from .message import create_message_for_user
from .tasks import send_message_to_bot
| [
6738,
42903,
1330,
2581,
11,
18941,
198,
198,
6738,
764,
20500,
1330,
2251,
62,
20500,
62,
1640,
62,
7220,
198,
6738,
764,
83,
6791,
1330,
3758,
62,
20500,
62,
1462,
62,
13645,
628,
628
] | 3.647059 | 34 |
#-*- coding:utf-8 -*-
#import python packages
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.metrics import adjusted_rand_score
from sklearn.metrics import silhouette_samples
fr... | [
2,
12,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
198,
2,
11748,
21015,
10392,
198,
6738,
1341,
35720,
13,
30053,
62,
2302,
7861,
13,
5239,
1330,
2764,
38469,
7509,
198,
6738,
1341,
35720,
13,
30053,
62,
2302,
7861,
13,
523... | 2.802128 | 470 |
import torch
import torch.nn as nn
import framework.configbase
import caption.encoders.vanilla
import caption.decoders.attention
import caption.models.attention
import controlimcap.encoders.flat
from caption.models.attention import MPENCODER, ATTNENCODER, DECODER
| [
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
198,
11748,
9355,
13,
11250,
8692,
198,
11748,
8305,
13,
12685,
375,
364,
13,
10438,
5049,
198,
11748,
8305,
13,
12501,
375,
364,
13,
1078,
1463,
198,
11748,
8305,
13,
275... | 3.253012 | 83 |
"""
Console
-------
A module containing functions for interacting with a Windows
console.
"""
from six import integer_types
from pywincffi.core import dist
from pywincffi.core.checks import NON_ZERO, NoneType, input_check, error_check
from pywincffi.exceptions import WindowsAPIError
from pywincffi.wintypes import HA... | [
37811,
198,
47581,
198,
26866,
198,
198,
32,
8265,
7268,
5499,
329,
24986,
351,
257,
3964,
198,
41947,
13,
198,
37811,
198,
198,
6738,
2237,
1330,
18253,
62,
19199,
198,
198,
6738,
12972,
86,
1939,
487,
72,
13,
7295,
1330,
1233,
198,
... | 2.57677 | 2,006 |
"""
extracts the climate observation data from the xlsx spreadsheet to a csv file
so that ens weather scripts can consume it.
Looks in the folder os.environ["ENS_CLIMATE_OBS"]
determines the relationship between the xlsx source and the csv destinations
deleteds any csv's and regenerates them by exporting the ALL_DATa... | [
37811,
198,
198,
2302,
974,
82,
262,
4258,
13432,
1366,
422,
262,
2124,
7278,
87,
30117,
284,
257,
269,
21370,
2393,
198,
568,
326,
3140,
6193,
14750,
460,
15000,
340,
13,
198,
198,
41102,
287,
262,
9483,
28686,
13,
268,
2268,
14692,
... | 2.595908 | 782 |
n = int(input()) # takes the number of arguments
mdict = {}
for i in range(0,n):
grades = input().split(" ") # self explanatory
scores = list(map(float, grades[1:])) # since the first element from the list grades is the name of the student
mdict[grades[0]] = sum(scores)/float(len(scores)) # the key is t... | [
77,
796,
493,
7,
15414,
28955,
220,
1303,
2753,
262,
1271,
286,
7159,
198,
9132,
713,
796,
23884,
198,
1640,
1312,
287,
2837,
7,
15,
11,
77,
2599,
198,
220,
220,
220,
19051,
796,
5128,
22446,
35312,
7203,
366,
8,
220,
1303,
2116,
... | 3.05303 | 132 |
# This is NOT zigzag conversion, instead it is
# 1 5 9
# 2 4 6 8 .
# 3 7 .
print BestSolution().convert('abc', 2) | [
198,
198,
2,
770,
318,
5626,
1976,
328,
50183,
11315,
11,
2427,
340,
318,
198,
2,
352,
220,
220,
642,
220,
220,
860,
198,
2,
362,
604,
718,
807,
764,
198,
2,
513,
220,
220,
767,
220,
220,
764,
198,
198,
4798,
6705,
46344,
22446,... | 2.384615 | 52 |
import pandas as pd | [
11748,
19798,
292,
355,
279,
67
] | 3.166667 | 6 |
import imageio # type: ignore
import logging
import numpy # type: ignore
import os
import pathlib
import torch
import torchvision # type: ignore
import utils
from torch import Tensor
from typing import Callable
def load(path: str, encoding: str = 'RGB') -> Tensor:
'''
Loads the image at the given path usi... | [
11748,
2939,
952,
220,
1303,
2099,
25,
8856,
198,
11748,
18931,
198,
11748,
299,
32152,
220,
1303,
2099,
25,
8856,
198,
11748,
28686,
198,
11748,
3108,
8019,
198,
11748,
28034,
198,
11748,
28034,
10178,
220,
1303,
2099,
25,
8856,
198,
1... | 2.660406 | 1,331 |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
from vertex import Vertex
from heap import PriorityQueue
def BFS_reset_vertices(self):
for v in self.vertices.values():
v.reset()
v.dist = float("inf")
class MNodeGraph(NodeGraph... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
37423,
1330,
4643,
... | 1.565881 | 1,442 |
import re
with open('09.txt') as f:
line = f.read()
[n_player, turn] = [int(x) for x in re.search(r'(\d+)[^\d]*(\d+).*$', line).groups()]
print(solve1(n_player, turn))
print(solve2(n_player, turn))
| [
11748,
302,
628,
198,
4480,
1280,
10786,
2931,
13,
14116,
11537,
355,
277,
25,
198,
220,
220,
220,
1627,
796,
277,
13,
961,
3419,
198,
220,
220,
220,
685,
77,
62,
7829,
11,
1210,
60,
796,
685,
600,
7,
87,
8,
329,
2124,
287,
302,... | 2.076923 | 104 |
from fipeapi import CARRO, CAMINHAO, MOTO, consulta_preco_veiculo, pega_anos_modelo, pega_modelos
from time import sleep
if __name__ == '__main__':
consulta_preco()
| [
6738,
277,
3757,
15042,
1330,
17368,
13252,
11,
32421,
1268,
7801,
46,
11,
337,
26631,
11,
5725,
64,
62,
3866,
1073,
62,
303,
291,
43348,
11,
613,
4908,
62,
40015,
62,
19849,
78,
11,
613,
4908,
62,
19849,
418,
198,
6738,
640,
1330,
... | 2.529412 | 68 |
# -*- coding: utf-8 -*-
from django.http import HttpResponse
from servo.models import TaggedItem
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
6738,
42625,
14208,
13,
4023,
1330,
367,
29281,
31077,
198,
6738,
1113,
78,
13,
27530,
1330,
309,
14655,
7449,
628,
198
] | 2.777778 | 36 |
from django.core.management.base import BaseCommand, CommandError
from channels import Channel, Group, channel_layers
import json
from builtins import str
| [
6738,
42625,
14208,
13,
7295,
13,
27604,
13,
8692,
1330,
7308,
21575,
11,
9455,
12331,
198,
6738,
9619,
1330,
11102,
11,
4912,
11,
6518,
62,
75,
6962,
198,
11748,
33918,
198,
6738,
3170,
1040,
1330,
965,
628,
220,
220,
220,
220
] | 3.902439 | 41 |
from typing import List
from django.template.defaultfilters import slugify
from jcms.models.single_menu_item import SingleMenuItem
| [
6738,
19720,
1330,
7343,
198,
6738,
42625,
14208,
13,
28243,
13,
12286,
10379,
1010,
1330,
31065,
1958,
198,
6738,
474,
46406,
13,
27530,
13,
29762,
62,
26272,
62,
9186,
1330,
14206,
23381,
7449,
628
] | 3.882353 | 34 |
# Hysteresis class to model battery charging / discharge hysteresis
# Copyright (C) 2022 Dave Gutz
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation;
# version 2.1 of the License.
#
# This... | [
2,
6707,
4169,
411,
271,
1398,
284,
2746,
6555,
11642,
1220,
17655,
2537,
4169,
411,
271,
198,
2,
15069,
357,
34,
8,
33160,
9935,
27549,
89,
198,
2,
198,
2,
770,
5888,
318,
1479,
3788,
26,
345,
460,
17678,
4163,
340,
290,
14,
273,... | 3.073034 | 356 |
from django.urls import path
from home.views import IndexView
urlpatterns=[
path('', IndexView.as_view(),name='index'),
] | [
6738,
42625,
14208,
13,
6371,
82,
1330,
3108,
198,
6738,
1363,
13,
33571,
1330,
12901,
7680,
628,
198,
6371,
33279,
82,
41888,
198,
220,
220,
220,
3108,
10786,
3256,
12901,
7680,
13,
292,
62,
1177,
22784,
3672,
11639,
9630,
33809,
198,
... | 3.02381 | 42 |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: groundstation/proto/object_list.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import descriptor_pb2
# @@protoc_in... | [
2,
2980,
515,
416,
262,
8435,
11876,
17050,
13,
220,
8410,
5626,
48483,
0,
198,
2,
2723,
25,
2323,
17529,
14,
1676,
1462,
14,
15252,
62,
4868,
13,
1676,
1462,
198,
198,
6738,
23645,
13,
11235,
672,
3046,
1330,
43087,
355,
4808,
2014... | 2.703252 | 492 |
"""@file
This file is responsible for extracting website from google search results and formatting them for later use.
"""
import json
from urllib.parse import urlparse
import nltk
import os
tc = 0
cp = 0
def find_website(raw_data):
"""
Uses several rule based techniques to find candidate websites for a compa... | [
37811,
31,
7753,
198,
1212,
2393,
318,
4497,
329,
37895,
3052,
422,
23645,
2989,
2482,
290,
33313,
606,
329,
1568,
779,
13,
198,
37811,
198,
11748,
33918,
198,
6738,
2956,
297,
571,
13,
29572,
1330,
19016,
29572,
198,
11748,
299,
2528,
... | 2.182753 | 1,751 |
from functools import reduce as rd
if __name__ == "__main__":
print(main())
| [
6738,
1257,
310,
10141,
1330,
4646,
355,
374,
67,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
3601,
7,
12417,
28955,
198
] | 2.677419 | 31 |
from rest_framework.serializers import ModelSerializer
from .models import Degree, Job, Skill, DataOrigin, Address, Qualification, User
| [
6738,
1334,
62,
30604,
13,
46911,
11341,
1330,
9104,
32634,
7509,
198,
6738,
764,
27530,
1330,
34486,
11,
15768,
11,
16023,
11,
6060,
39688,
11,
17917,
11,
9537,
2649,
11,
11787,
628,
628,
628,
628,
628,
198
] | 3.945946 | 37 |
import urllib.request
urls = [ "https://www.google.com","httpr://www.python.org" ]
for link in urls:
request = urllib.request.Request( link)
response = urllib.request.urlopen( request)
'''
action here
'''
'''\
NORMAL: sloooow
[][][] [][] [][]{}{} {}{}{} {}{}{} {}
THREADING: st... | [
11748,
2956,
297,
571,
13,
25927,
198,
198,
6371,
82,
796,
685,
366,
5450,
1378,
2503,
13,
13297,
13,
785,
2430,
2804,
1050,
1378,
2503,
13,
29412,
13,
2398,
1,
2361,
198,
1640,
2792,
287,
2956,
7278,
25,
198,
220,
220,
220,
2581,
... | 1.992126 | 254 |
import collections
from django.db import models
import contacts.models as cont
| [
11748,
17268,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
198,
11748,
13961,
13,
27530,
355,
542,
628
] | 4.1 | 20 |
"""
Leetcode #137
"""
from typing import List
from collections import Counter
if __name__ == "__main__":
solution = Solution()
assert solution.singleNumber([2,2,3,2]) == 3
assert solution.singleNumber([0,1,0,1,0,1,99]) == 99
assert solution.singleNumber_NO_SPACE([2,2,3,2]) == 3
assert so... | [
37811,
198,
220,
220,
220,
1004,
316,
8189,
1303,
19708,
198,
37811,
628,
198,
6738,
19720,
1330,
7343,
198,
6738,
17268,
1330,
15034,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
628,
220,
220,
220,
4610,
7... | 2.537415 | 147 |
import json
from algorithm_ncs import ncs_c as ncs
import argparse
parser = argparse.ArgumentParser(description="This is a NCS solver")
parser.add_argument("-c", "--config", default="algorithm_ncs/parameter.json", type=str, help="a json file that contains parameter")
parser.add_argument("-d", "--data", default="6", ... | [
11748,
33918,
198,
198,
6738,
11862,
62,
77,
6359,
1330,
299,
6359,
62,
66,
355,
299,
6359,
198,
11748,
1822,
29572,
628,
198,
48610,
796,
1822,
29572,
13,
28100,
1713,
46677,
7,
11213,
2625,
1212,
318,
257,
399,
7902,
1540,
332,
4943... | 2.395349 | 473 |
# name
# name of the package short string (1)
# version
# version of this release short string (1)(2)
# author
# package authors name short string (3)
# author_email
# email address of the package author email address (3)
# maintainer
# package maintainers name short string (3)
# maintainer_email
# ... | [
2,
1438,
198,
2,
220,
220,
1438,
286,
262,
5301,
220,
197,
19509,
4731,
220,
197,
7,
16,
8,
198,
2,
2196,
198,
2,
220,
220,
2196,
286,
428,
2650,
220,
197,
19509,
4731,
220,
197,
7,
16,
5769,
17,
8,
198,
2,
1772,
198,
2,
220... | 2.313225 | 862 |
from setuptools import setup
setup(name='cctable',
version='0.3',
description='Frontend visualizing accouting data.',
url='github.com/elcolumbio/cctable',
author='Florian Benk',
author_email='f.benkoe@innotrade24.de',
license='Apache License, Version 2.0 (the "License")',
pack... | [
6738,
900,
37623,
10141,
1330,
9058,
198,
198,
40406,
7,
3672,
11639,
66,
310,
540,
3256,
198,
220,
220,
220,
220,
220,
2196,
11639,
15,
13,
18,
3256,
198,
220,
220,
220,
220,
220,
6764,
11639,
25886,
437,
5874,
2890,
697,
13660,
13... | 2.431655 | 139 |
"""Auto-generate custom TextX AST classes."""
import re
try:
import black
except ImportError:
black = None
GRAMMAR_RULE_REGEX = re.compile(
r"([a-zA-Z_]\w*)\s*:(((['\"];['\"])|[^;])+);", re.S
)
RULE_MEMBER_REGEX = re.compile(
r"([a-zA-Z_]\w*)\s*([?\+\*]?)=\s*([^\s]+)", re.S
)
if black is not None:
... | [
37811,
27722,
12,
8612,
378,
2183,
8255,
55,
29273,
6097,
526,
15931,
198,
198,
11748,
302,
198,
198,
28311,
25,
198,
220,
220,
220,
1330,
2042,
198,
16341,
17267,
12331,
25,
198,
220,
220,
220,
2042,
796,
6045,
198,
198,
10761,
2390,... | 2.197218 | 1,222 |
#!/usr/bin/env python
"""
Run the microdata testing locally
"""
# You may want to adapt this to your environment...
import sys
sys.path.append("..")
import glob
from pyMicrodata import pyMicrodata
from rdflib import Graph
###########################################
# marshall all test HTML files
test_path = "../test... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
37811,
198,
10987,
262,
4580,
7890,
4856,
15726,
198,
37811,
198,
2,
921,
743,
765,
284,
6068,
428,
284,
534,
2858,
986,
198,
11748,
25064,
198,
198,
17597,
13,
6978,
13,
33295,
7203,
... | 3.06278 | 223 |
# -*- coding: utf-8 -*-
# https://oldj.net/
u"""
python syncdir.py source_dir target_dir
source_dir target_dir
source_dir target_dir
source_dir target_dir
source_dir
"""
import os
import sys
import shutil
if __name__ == "__main__":
# if len(sys.argv) != 3:
# if "-h" in sys.argv or "--... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
3740,
1378,
727,
73,
13,
3262,
14,
198,
198,
84,
37811,
628,
628,
198,
29412,
6171,
10210,
343,
13,
9078,
2723,
62,
15908,
2496,
62,
15908,
198,
198,
10459,
62,
1... | 2.234146 | 410 |
# Copyright 2018 SpiderOak, 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 agreed to in writi... | [
2,
15069,
2864,
12648,
42426,
11,
3457,
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,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,... | 3.610294 | 272 |
import numpy as np
from numpy import sin, cos, tan, degrees, radians, arctan, arcsin
# Slip projections
## To/From offset
## Others
def beta_from_dip_rake(dip, rake):
'''
Returns beta, the angle (in degrees) between the strike and the
trend of apparent dip.
'''
return degrees( arctan( ta... | [
11748,
299,
32152,
355,
45941,
198,
6738,
299,
32152,
1330,
7813,
11,
8615,
11,
25706,
11,
7370,
11,
2511,
1547,
11,
610,
310,
272,
11,
44606,
259,
198,
198,
2,
49988,
19887,
198,
2235,
1675,
14,
4863,
11677,
628,
628,
628,
628,
628... | 2.746667 | 150 |
import logging
from datetime import datetime, timedelta
from normality import ascii_text
from sqlalchemy import func
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm.attributes import flag_modified
from aleph.core import db
from aleph.model.metadata import Metadata
from aleph.model.validate import ... | [
11748,
18931,
198,
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
198,
6738,
2593,
1483,
1330,
355,
979,
72,
62,
5239,
198,
6738,
44161,
282,
26599,
1330,
25439,
198,
6738,
44161,
282,
26599,
13,
38969,
478,
82,
13,
7353,
34239,
... | 3.67052 | 173 |
try:
from main import ClassA, ClassB
except:
try:
from pyInet import ClassA, ClassB
except:
from pyInet.main import ClassA, ClassB
if __name__ == "__main__":
child = ClassA #Public Class
network = ClassB #Private Class
print("Call function using public... | [
28311,
25,
201,
198,
220,
220,
220,
422,
1388,
1330,
5016,
32,
11,
5016,
33,
201,
198,
16341,
25,
201,
198,
220,
220,
220,
1949,
25,
201,
198,
220,
220,
220,
220,
220,
220,
220,
422,
12972,
818,
316,
1330,
5016,
32,
11,
5016,
33... | 1.858295 | 868 |
#
# MIT License
#
# Copyright (c) 2020 Keisuke Sehara
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, me... | [
2,
198,
2,
17168,
13789,
198,
2,
198,
2,
15069,
357,
66,
8,
12131,
3873,
271,
4649,
1001,
71,
3301,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
4866,
198,
2,
286,
428,
3788,... | 3.313373 | 501 |