hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
900d82f05310f821f29ddc9642e0427552a38aae | 2,687 | py | Python | wolfram/wolfram.py | Wyn10/aikaterna-cogs | a7fd5930f90b4046296ce98406639219c38302a7 | [
"MIT"
] | null | null | null | wolfram/wolfram.py | Wyn10/aikaterna-cogs | a7fd5930f90b4046296ce98406639219c38302a7 | [
"MIT"
] | null | null | null | wolfram/wolfram.py | Wyn10/aikaterna-cogs | a7fd5930f90b4046296ce98406639219c38302a7 | [
"MIT"
] | 1 | 2019-03-30T05:18:42.000Z | 2019-03-30T05:18:42.000Z | import os
import aiohttp
from discord.ext import commands
import xml.etree.ElementTree as ET
from cogs.utils.dataIO import dataIO
from .utils import checks
from .utils.chat_formatting import escape_mass_mentions
from .utils.chat_formatting import box
from __main__ import send_cmd_help
class Wolfram:
def __init__(... | 32.373494 | 100 | 0.593971 | 331 | 2,687 | 4.691843 | 0.398792 | 0.030908 | 0.036703 | 0.04443 | 0.151964 | 0.079845 | 0 | 0 | 0 | 0 | 0 | 0.003646 | 0.285448 | 2,687 | 82 | 101 | 32.768293 | 0.805208 | 0 | 0 | 0.045455 | 0 | 0.015152 | 0.183886 | 0.030069 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0.030303 | 0.136364 | 0 | 0.212121 | 0.030303 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
900fd7a3396de18f3541a06d832b5444ad752082 | 671 | py | Python | migrations/versions/98f3e3ad195c_update_blog_to_add_a_title.py | Josephat-n/myBlog | d2e3b368617cd3ca55b6bd40e6950122967e1d9f | [
"MIT"
] | null | null | null | migrations/versions/98f3e3ad195c_update_blog_to_add_a_title.py | Josephat-n/myBlog | d2e3b368617cd3ca55b6bd40e6950122967e1d9f | [
"MIT"
] | null | null | null | migrations/versions/98f3e3ad195c_update_blog_to_add_a_title.py | Josephat-n/myBlog | d2e3b368617cd3ca55b6bd40e6950122967e1d9f | [
"MIT"
] | null | null | null | """update blog to add a title.
Revision ID: 98f3e3ad195c
Revises: 2d98c5165674
Create Date: 2019-12-02 22:58:10.377423
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '98f3e3ad195c'
down_revision = '2d98c5165674'
branch_labels = None
depends_on = None
def upg... | 23.137931 | 84 | 0.690015 | 86 | 671 | 5.325581 | 0.616279 | 0.058952 | 0.091703 | 0.100437 | 0.19214 | 0.19214 | 0.19214 | 0.19214 | 0 | 0 | 0 | 0.103074 | 0.175857 | 671 | 28 | 85 | 23.964286 | 0.725136 | 0.460507 | 0 | 0 | 0 | 0 | 0.135385 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
901066d43a75d83ccca11050c805f23f07e56a57 | 2,691 | py | Python | message/views.py | ThusharaX/mumbleapi | 8435fe9d86869cce81961f42c9860fa3810c171b | [
"Apache-2.0"
] | 187 | 2021-04-24T14:49:44.000Z | 2022-03-31T14:25:22.000Z | message/views.py | ThusharaX/mumbleapi | 8435fe9d86869cce81961f42c9860fa3810c171b | [
"Apache-2.0"
] | 119 | 2021-04-24T18:08:43.000Z | 2022-01-09T00:57:19.000Z | message/views.py | ThusharaX/mumbleapi | 8435fe9d86869cce81961f42c9860fa3810c171b | [
"Apache-2.0"
] | 174 | 2021-04-24T15:57:23.000Z | 2022-03-11T02:09:04.000Z | from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework import status
from users.models import UserProfile
from .serializers import MessageSerializer , ThreadSerializer
from .models import ... | 39 | 94 | 0.687105 | 309 | 2,691 | 5.873786 | 0.271845 | 0.077135 | 0.057851 | 0.077135 | 0.287603 | 0.215978 | 0.176309 | 0.076033 | 0.076033 | 0 | 0 | 0.00141 | 0.209216 | 2,691 | 69 | 95 | 39 | 0.851504 | 0 | 0 | 0.338462 | 0 | 0 | 0.079866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0 | 0.123077 | 0 | 0.338462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9010af2b84b0a8a7a8c133b624651330f5e4d485 | 3,691 | py | Python | widgets/dialogs/transactions_editor.py | redstorm45/money_analyst | 9ccf8aa4cd7bad7aff21a82ce4219406009f126a | [
"Apache-2.0"
] | null | null | null | widgets/dialogs/transactions_editor.py | redstorm45/money_analyst | 9ccf8aa4cd7bad7aff21a82ce4219406009f126a | [
"Apache-2.0"
] | null | null | null | widgets/dialogs/transactions_editor.py | redstorm45/money_analyst | 9ccf8aa4cd7bad7aff21a82ce4219406009f126a | [
"Apache-2.0"
] | null | null | null | import PyQt5.QtWidgets as Qtw
import PyQt5.QtCore as QtCore
from widgets.labels import LabelsWidget
DATE_FORMAT = 'yyyy-MM-dd'
class TransactionDialog(Qtw.QDialog):
"""
A dialog used to edit a transaction
"""
def __init__(self, parent, model_cat, desc='', category=0, amount=0, date=''):
supe... | 38.051546 | 83 | 0.648605 | 460 | 3,691 | 5 | 0.265217 | 0.107826 | 0.06087 | 0.06 | 0.12087 | 0.026087 | 0 | 0 | 0 | 0 | 0 | 0.014904 | 0.236521 | 3,691 | 96 | 84 | 38.447917 | 0.800568 | 0.009483 | 0 | 0.12987 | 0 | 0 | 0.040934 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051948 | false | 0 | 0.038961 | 0 | 0.12987 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9010dcd0fdbf2d57ab797fb8bac064a9780ede3f | 20,416 | py | Python | octue/cloud/pub_sub/service.py | octue/octue-sdk-python | 31c6e9358d3401ca708f5b3da702bfe3be3e52ce | [
"MIT"
] | 5 | 2020-10-01T12:43:10.000Z | 2022-03-14T17:26:25.000Z | octue/cloud/pub_sub/service.py | octue/octue-sdk-python | 31c6e9358d3401ca708f5b3da702bfe3be3e52ce | [
"MIT"
] | 322 | 2020-06-24T15:55:22.000Z | 2022-03-30T11:49:28.000Z | octue/cloud/pub_sub/service.py | octue/octue-sdk-python | 31c6e9358d3401ca708f5b3da702bfe3be3e52ce | [
"MIT"
] | null | null | null | import base64
import concurrent.futures
import json
import logging
import sys
import time
import traceback as tb
import uuid
from google.api_core import retry
from google.cloud import pubsub_v1
import octue.exceptions
import twined.exceptions
from octue.cloud.credentials import GCPCredentialsManager
from octue.cloud.p... | 43.162791 | 208 | 0.653556 | 2,403 | 20,416 | 5.40283 | 0.161049 | 0.013171 | 0.008473 | 0.009859 | 0.257953 | 0.181006 | 0.141262 | 0.109066 | 0.097666 | 0.091196 | 0 | 0.003635 | 0.272335 | 20,416 | 472 | 209 | 43.254237 | 0.870288 | 0.309218 | 0 | 0.180851 | 0 | 0.003546 | 0.119457 | 0.018928 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056738 | false | 0.003546 | 0.070922 | 0.003546 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90124bdf01042879c8d23bc0de43bbfc19264166 | 1,978 | py | Python | Tareas/DistanciaGrafos.py | A01746540/SEM9Algoritmos | 2aaf1a344413dfbece77022a5b34e0c5318aa5e5 | [
"MIT"
] | null | null | null | Tareas/DistanciaGrafos.py | A01746540/SEM9Algoritmos | 2aaf1a344413dfbece77022a5b34e0c5318aa5e5 | [
"MIT"
] | null | null | null | Tareas/DistanciaGrafos.py | A01746540/SEM9Algoritmos | 2aaf1a344413dfbece77022a5b34e0c5318aa5e5 | [
"MIT"
] | null | null | null | from collections import defaultdict
class Graph:
metro = ['El Rosario', 'Instituto del Petroleo', 'Tacuba', 'Hidalgo', 'Tacubaya', 'Deportivo 18 de Marzo',
'Centro Medico', 'Mixcoac', 'Balderas', 'Bellas Artes', 'Guerrero', 'Martin Carrera', 'Zapata',
'Chabacano',
'Salto del... | 25.688312 | 110 | 0.517695 | 289 | 1,978 | 3.529412 | 0.408305 | 0.196078 | 0.011765 | 0.021569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096154 | 0.290192 | 1,978 | 77 | 111 | 25.688312 | 0.630342 | 0.020222 | 0 | 0 | 0 | 0 | 0.183884 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04918 | false | 0 | 0.016393 | 0 | 0.098361 | 0.065574 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9012e5a8ed3f5ec28adee161865cc14545390e2d | 1,691 | py | Python | lab04/submited/utils.py | Battleman/InternetAnalyticsW | 005e5de6c0e591be6dc303ec46cc82249e70f666 | [
"MIT"
] | null | null | null | lab04/submited/utils.py | Battleman/InternetAnalyticsW | 005e5de6c0e591be6dc303ec46cc82249e70f666 | [
"MIT"
] | null | null | null | lab04/submited/utils.py | Battleman/InternetAnalyticsW | 005e5de6c0e591be6dc303ec46cc82249e70f666 | [
"MIT"
] | null | null | null | # ######################
# Some useful utilities.
# ######################
import json, os, pickle
def listPrettyPrint(l, n):
"""Prints a list l on n columns to improve readability"""
if(n == 5):
for a,b,c,d,e in zip(l[::5],l[1::5],l[2::5],l[3::5],l[4::5]):
print('{:<22}{:<22}{:<22}{:<22}... | 25.621212 | 69 | 0.474867 | 286 | 1,691 | 2.793706 | 0.286713 | 0.020025 | 0.022528 | 0.020025 | 0.066333 | 0.032541 | 0 | 0 | 0 | 0 | 0 | 0.040362 | 0.282082 | 1,691 | 65 | 70 | 26.015385 | 0.617792 | 0.209935 | 0 | 0 | 0 | 0 | 0.070492 | 0.040984 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.029412 | 0 | 0.235294 | 0.147059 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9012f44f49fd46b9f38512bc6891494632f15f28 | 489 | py | Python | primes/factorisation.py | miloszlakomy/algutils | f83c330a0ca31cdac536de811f447820c70ecb38 | [
"MIT"
] | null | null | null | primes/factorisation.py | miloszlakomy/algutils | f83c330a0ca31cdac536de811f447820c70ecb38 | [
"MIT"
] | null | null | null | primes/factorisation.py | miloszlakomy/algutils | f83c330a0ca31cdac536de811f447820c70ecb38 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from algutils.primes import cached_primes
def factorise(n):
if n <= 0:
raise ValueError("n must be a positive integer")
ps = cached_primes.get_primes_list(min_lim=int(n**.5) + 1)
ret = {}
for p in ps:
if n == 1:
break
if p**2 > n: # n is prime
break
i... | 13.971429 | 60 | 0.492843 | 83 | 489 | 2.843373 | 0.481928 | 0.050847 | 0.033898 | 0.033898 | 0.059322 | 0.059322 | 0.059322 | 0 | 0 | 0 | 0 | 0.039216 | 0.374233 | 489 | 34 | 61 | 14.382353 | 0.732026 | 0.087935 | 0 | 0.190476 | 0 | 0 | 0.063348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.047619 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90192683a9596914db24fa7e2c76ff1a12788127 | 355 | py | Python | angr/engines/soot/statements/goto.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 6,132 | 2015-08-06T23:24:47.000Z | 2022-03-31T21:49:34.000Z | angr/engines/soot/statements/goto.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 2,272 | 2015-08-10T08:40:07.000Z | 2022-03-31T23:46:44.000Z | angr/engines/soot/statements/goto.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 1,155 | 2015-08-06T23:37:39.000Z | 2022-03-31T05:54:11.000Z |
import logging
from .base import SimSootStmt
l = logging.getLogger('angr.engines.soot.statements.goto')
class SimSootStmt_Goto(SimSootStmt):
def _execute(self):
jmp_target = self._get_bb_addr_from_instr(instr=self.stmt.target)
self._add_jmp_target(target=jmp_target,
... | 25.357143 | 73 | 0.704225 | 45 | 355 | 5.288889 | 0.622222 | 0.113445 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.202817 | 355 | 13 | 74 | 27.307692 | 0.840989 | 0 | 0 | 0 | 0 | 0 | 0.09322 | 0.09322 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
901943c57d651786afa2ce40b989408f3ebb4e7f | 979 | py | Python | game/entity/player.py | fisher60/pyweek-2021 | 294b45d768a7e0d85ac67dc4b12384e68fc4f399 | [
"MIT"
] | 8 | 2021-03-27T21:20:28.000Z | 2021-03-31T08:09:26.000Z | game/entity/player.py | fisher60/pyweek-2021 | 294b45d768a7e0d85ac67dc4b12384e68fc4f399 | [
"MIT"
] | 49 | 2021-03-27T21:18:08.000Z | 2021-04-03T02:53:53.000Z | game/entity/player.py | fisher60/pyweek-2021 | 294b45d768a7e0d85ac67dc4b12384e68fc4f399 | [
"MIT"
] | 1 | 2021-04-02T21:58:39.000Z | 2021-04-02T21:58:39.000Z | import arcade
from ..constants import TILE_SIZE, PLAYER_SCALING
from ..utils import Vector
class PlayerInventory:
keys: int = 0
class Player(arcade.Sprite):
def __init__(self, *args, **kwargs):
super().__init__(
"game/assets/sprites/square.png", PLAYER_SCALING, *args, **kwargs
)... | 25.763158 | 77 | 0.597549 | 116 | 979 | 4.844828 | 0.431034 | 0.106762 | 0.085409 | 0.080071 | 0.220641 | 0.16726 | 0.124555 | 0.124555 | 0.124555 | 0 | 0 | 0.001437 | 0.28907 | 979 | 37 | 78 | 26.459459 | 0.806034 | 0.051073 | 0 | 0 | 0 | 0 | 0.033445 | 0.033445 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.12 | 0.04 | 0.44 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
901cb3458a6cbbc2527b80d00c06a9a4f1e903b2 | 2,389 | py | Python | code/tfidf/tfidf.py | vadlamak/strata-teaching-the-elephant-to-read | 5f3963c90c520ac1b7b41d21939230ef5df6414f | [
"Apache-2.0"
] | null | null | null | code/tfidf/tfidf.py | vadlamak/strata-teaching-the-elephant-to-read | 5f3963c90c520ac1b7b41d21939230ef5df6414f | [
"Apache-2.0"
] | 1 | 2021-03-26T00:26:00.000Z | 2021-03-26T00:26:00.000Z | code/tfidf/tfidf.py | vadlamak/strata-teaching-the-elephant-to-read | 5f3963c90c520ac1b7b41d21939230ef5df6414f | [
"Apache-2.0"
] | null | null | null | import math
import string
from itertools import groupby
from operator import itemgetter
from nltk.corpus import stopwords
from nltk.tokenize import wordpunct_tokenize
N = 10788.0 # Number of documents, in float to make division work.
class TermMapper(object):
def __init__(self):
if 'stopwords' in self.... | 25.688172 | 72 | 0.612809 | 291 | 2,389 | 4.883162 | 0.309278 | 0.038001 | 0.046446 | 0.059113 | 0.120338 | 0.106967 | 0.052076 | 0.052076 | 0.052076 | 0 | 0 | 0.007598 | 0.283801 | 2,389 | 92 | 73 | 25.967391 | 0.822911 | 0.021766 | 0 | 0.144928 | 0 | 0 | 0.025696 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.173913 | false | 0 | 0.101449 | 0 | 0.391304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
901eab214940948112dfada28e162b16759ac77e | 589 | py | Python | plot-wbgt.py | tanupoo/tools-pubsec | 3dfea4b677226395eff89f90aebec3105ba4f4d5 | [
"MIT"
] | 1 | 2021-05-27T21:10:04.000Z | 2021-05-27T21:10:04.000Z | plot-wbgt.py | tanupoo/pubsec-tools | 3dfea4b677226395eff89f90aebec3105ba4f4d5 | [
"MIT"
] | null | null | null | plot-wbgt.py | tanupoo/pubsec-tools | 3dfea4b677226395eff89f90aebec3105ba4f4d5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import json
import matplotlib.pyplot as plt
result = json.load(sys.stdin)
x = result["hour"]
y = result["wbgt"]
fig = plt.figure(figsize=(8, 4))
ax1 = fig.add_subplot(1,1,1)
ax1.set_xlabel("hour")
ax1.set_ylabel("wbgt")
ax1.set_xticks(list(range(0,24,1)))
ax1.set_yticks(list(range(1... | 21.035714 | 48 | 0.696095 | 114 | 589 | 3.517544 | 0.464912 | 0.104738 | 0.05985 | 0.089776 | 0.311721 | 0.27182 | 0.27182 | 0.147132 | 0.147132 | 0 | 0 | 0.070632 | 0.086587 | 589 | 27 | 49 | 21.814815 | 0.674721 | 0.033956 | 0 | 0 | 0 | 0 | 0.059965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90204f12090cacf498331393d685af08f22c49b2 | 1,005 | py | Python | day_07/day_07.py | GuillaumeGandon/advent-of-code-2015 | ff4201a9a27d1ca7f687a613eeec72dd12fe1487 | [
"MIT"
] | null | null | null | day_07/day_07.py | GuillaumeGandon/advent-of-code-2015 | ff4201a9a27d1ca7f687a613eeec72dd12fe1487 | [
"MIT"
] | null | null | null | day_07/day_07.py | GuillaumeGandon/advent-of-code-2015 | ff4201a9a27d1ca7f687a613eeec72dd12fe1487 | [
"MIT"
] | null | null | null | from functools import cache
def split_row(row):
instructions, output = row.split(' -> ')
return output, tuple(instructions.split(' '))
@cache
def solve(key):
if key.isdigit():
return int(key)
else:
instructions = circuit[key]
if len(instructions) == 1:
return solv... | 25.769231 | 65 | 0.536318 | 118 | 1,005 | 4.508475 | 0.389831 | 0.067669 | 0.090226 | 0.06391 | 0.157895 | 0.097744 | 0.097744 | 0 | 0 | 0 | 0 | 0.018978 | 0.318408 | 1,005 | 38 | 66 | 26.447368 | 0.757664 | 0 | 0 | 0.1 | 0 | 0 | 0.084577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.033333 | 0 | 0.366667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90215693db46543c286a97842122238df6972cc0 | 523 | py | Python | noteout/tests/test_nb_only.py | stefanv/noteout | b76b35c675fa1221be35835d56c2937e3f56b317 | [
"BSD-2-Clause"
] | 3 | 2021-08-14T19:35:37.000Z | 2021-08-23T16:53:51.000Z | noteout/tests/test_nb_only.py | stefanv/noteout | b76b35c675fa1221be35835d56c2937e3f56b317 | [
"BSD-2-Clause"
] | 1 | 2021-11-23T18:40:45.000Z | 2021-11-23T20:40:48.000Z | noteout/tests/test_nb_only.py | stefanv/noteout | b76b35c675fa1221be35835d56c2937e3f56b317 | [
"BSD-2-Clause"
] | 1 | 2021-11-23T18:33:58.000Z | 2021-11-23T18:33:58.000Z | """ Test nb-only filter
"""
from io import StringIO
from noteout.nb_only import NbonlyFilter as nnbo
from .tutils import (read_md, assert_json_equal, filter_doc)
def test_nb_only():
content = """/
Some text [notebook only]{.nb-only}more text.
::: nb-only
Only in notebook.
:::
More text.
"""
doc = read_md... | 17.433333 | 60 | 0.692161 | 77 | 523 | 4.493506 | 0.363636 | 0.086705 | 0.057803 | 0.098266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179732 | 523 | 29 | 61 | 18.034483 | 0.806527 | 0.036329 | 0 | 0.210526 | 0 | 0 | 0.262097 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9021bc3863fa351375d2c840439601cf105a7273 | 3,241 | py | Python | backend/fastspider.py | wakeblade/weiboSpiderAndCook | b5ca0708abd0a938eb0ac611d037a5d3daf9384f | [
"MIT"
] | 1 | 2020-02-08T16:22:19.000Z | 2020-02-08T16:22:19.000Z | backend/fastspider.py | wakeblade/weiboWordCount | b5ca0708abd0a938eb0ac611d037a5d3daf9384f | [
"MIT"
] | null | null | null | backend/fastspider.py | wakeblade/weiboWordCount | b5ca0708abd0a938eb0ac611d037a5d3daf9384f | [
"MIT"
] | null | null | null | # !/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
from gevent import monkey
monkey.patch_all()
from gevent.queue import Queue
"""
import requests
import time
import random
proxies=[]
with open('./ips.txt') as f:
proxies = [line.split('@')[0] for line in f]
def randomProxy(proxies):
ip = random.choice(proxies... | 28.429825 | 142 | 0.573588 | 393 | 3,241 | 4.641221 | 0.348601 | 0.023026 | 0.012061 | 0.017544 | 0.055921 | 0.029605 | 0.029605 | 0 | 0 | 0 | 0 | 0.012642 | 0.267819 | 3,241 | 114 | 143 | 28.429825 | 0.756005 | 0.05523 | 0 | 0.055556 | 0 | 0 | 0.085813 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097222 | false | 0 | 0.041667 | 0.027778 | 0.263889 | 0.013889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9022b8901ebe6c1ee9599a4efe5b224353a4bd15 | 8,328 | py | Python | crops/command_line/crops-cropstr.py | jjavier-bm/crops | 658a98f9c168cc27b3f967e7a60a0df896ef5ac6 | [
"BSD-3-Clause"
] | null | null | null | crops/command_line/crops-cropstr.py | jjavier-bm/crops | 658a98f9c168cc27b3f967e7a60a0df896ef5ac6 | [
"BSD-3-Clause"
] | 5 | 2020-07-17T08:45:22.000Z | 2022-03-11T13:39:26.000Z | crops/command_line/crops-cropstr.py | jjavier-bm/crops | 658a98f9c168cc27b3f967e7a60a0df896ef5ac6 | [
"BSD-3-Clause"
] | 1 | 2020-07-07T15:42:07.000Z | 2020-07-07T15:42:07.000Z | """==========
This script will remove a number of residues from a sequence file
in agreement to the intervals and other details supplied.
"""
from crops.about import __prog__, __description__, __author__, __date__, __version__
import argparse
import os
from crops.io import check_path
from crops.io import outpathgen... | 47.862069 | 289 | 0.635687 | 1,006 | 8,328 | 5.127237 | 0.241551 | 0.027142 | 0.012214 | 0.029081 | 0.257076 | 0.227608 | 0.215587 | 0.178945 | 0.142691 | 0.116906 | 0 | 0.009274 | 0.236071 | 8,328 | 173 | 290 | 48.138728 | 0.801478 | 0.035303 | 0 | 0.179856 | 0 | 0.014388 | 0.17257 | 0.007815 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014388 | false | 0 | 0.093525 | 0 | 0.122302 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90251fea4bf1c0681bcedcffe3e8a599e9d53e72 | 13,189 | py | Python | DSDM_Assignment2_final.py | antonyjames1996/time-series-analysis-agrotech | 1e2abfe07f0e82c7a6f5cc01a268826fb2d29635 | [
"MIT"
] | null | null | null | DSDM_Assignment2_final.py | antonyjames1996/time-series-analysis-agrotech | 1e2abfe07f0e82c7a6f5cc01a268826fb2d29635 | [
"MIT"
] | null | null | null | DSDM_Assignment2_final.py | antonyjames1996/time-series-analysis-agrotech | 1e2abfe07f0e82c7a6f5cc01a268826fb2d29635 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[95]:
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# get_ipython().run_line_magic('matplotlib', 'inline')
from sklearn.neighbors import LocalOutlierFactor
from sklearn.model_selection import train_test_split
from sklearn.line... | 26.116832 | 119 | 0.679506 | 1,840 | 13,189 | 4.645652 | 0.167391 | 0.012635 | 0.013102 | 0.02059 | 0.502223 | 0.433786 | 0.340664 | 0.286968 | 0.253276 | 0.219584 | 0 | 0.02066 | 0.163242 | 13,189 | 504 | 120 | 26.168651 | 0.753896 | 0.251801 | 0 | 0.16875 | 0 | 0 | 0.300638 | 0.008646 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.13125 | 0 | 0.13125 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9025967f892fe7e0100f3ff33e467fab11a11531 | 4,830 | py | Python | dcm2niix.py | rhancockn/dcm2bids | 16597eeb20edfa0ec707c9bd0bf8468d94e0c925 | [
"MIT"
] | null | null | null | dcm2niix.py | rhancockn/dcm2bids | 16597eeb20edfa0ec707c9bd0bf8468d94e0c925 | [
"MIT"
] | null | null | null | dcm2niix.py | rhancockn/dcm2bids | 16597eeb20edfa0ec707c9bd0bf8468d94e0c925 | [
"MIT"
] | null | null | null | #!/use/bin/python
import tempfile
import os
import dicom
import pandas
import json
import numpy as np
from os.path import join
import glob
import errno
import shutil
class dcm2niix(object):
"""A wrapper for the dcm2niix command
"""
def __init__(self, row, bids_dir, intent = None):
self.intent = intent
#Dico... | 32.2 | 285 | 0.695238 | 702 | 4,830 | 4.65812 | 0.264957 | 0.06055 | 0.058716 | 0.06055 | 0.37156 | 0.33578 | 0.237615 | 0.184098 | 0.125994 | 0.105199 | 0 | 0.027014 | 0.149275 | 4,830 | 149 | 286 | 32.416107 | 0.7688 | 0.073292 | 0 | 0.098039 | 0 | 0 | 0.169279 | 0.022615 | 0 | 0 | 0.021944 | 0 | 0 | 1 | 0.068627 | false | 0.009804 | 0.098039 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
902da8cbd33808618399125bb013b3cfef957b80 | 4,479 | py | Python | src/sss/genkey.py | foundriesio/plug-and-trust-ssscli | f77c65d5b3de649d7db1c023ee41d871f77cd224 | [
"Apache-2.0"
] | null | null | null | src/sss/genkey.py | foundriesio/plug-and-trust-ssscli | f77c65d5b3de649d7db1c023ee41d871f77cd224 | [
"Apache-2.0"
] | null | null | null | src/sss/genkey.py | foundriesio/plug-and-trust-ssscli | f77c65d5b3de649d7db1c023ee41d871f77cd224 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2018-2020 NXP
# SPDX-License-Identifier: Apache-2.0
#
#
"""License text"""
import logging
from . import sss_api as apis
from .keystore import KeyStore
from .keyobject import KeyObject
from .getkey import Get
from .util import get_ecc_cypher_type
log = logging.getLogger(__name__)
class Generate:
"... | 33.177778 | 124 | 0.621121 | 607 | 4,479 | 4.319605 | 0.177924 | 0.048055 | 0.036613 | 0.02746 | 0.611365 | 0.548055 | 0.490465 | 0.490465 | 0.471777 | 0.410755 | 0 | 0.006353 | 0.297165 | 4,479 | 134 | 125 | 33.425373 | 0.826557 | 0.273052 | 0 | 0.433333 | 0 | 0 | 0.057619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
902e9315b6728c26e93d095508b7d9dca413b5b0 | 979 | py | Python | Python/uds/uds_client.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | Python/uds/uds_client.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | Python/uds/uds_client.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# To communicate with UDS server by nc: "echo -e "string\c" | sudo nc -q 1 -U /var/run/uds_led"
import socket
serverAddress = '/tmp/portex_tmp'
def main():
try:
while True:
message = input(
'Enter the message send to server ("Quit" to quit): ')
... | 28.794118 | 95 | 0.507661 | 107 | 979 | 4.53271 | 0.626168 | 0.037113 | 0.049485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017828 | 0.369765 | 979 | 33 | 96 | 29.666667 | 0.768233 | 0.150153 | 0 | 0 | 0 | 0 | 0.188634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.043478 | 0 | 0.086957 | 0.130435 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
903025199c8cb18d7b43068916c16d96cb4139f2 | 2,967 | py | Python | 0x06-python-classes/100-singly_linked_list.py | Trice254/alx-higher_level_programming | b49b7adaf2c3faa290b3652ad703914f8013c67c | [
"MIT"
] | null | null | null | 0x06-python-classes/100-singly_linked_list.py | Trice254/alx-higher_level_programming | b49b7adaf2c3faa290b3652ad703914f8013c67c | [
"MIT"
] | null | null | null | 0x06-python-classes/100-singly_linked_list.py | Trice254/alx-higher_level_programming | b49b7adaf2c3faa290b3652ad703914f8013c67c | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
Module 100-singly_linked_list
Defines class Node (with private data and next_node)
Defines class SinglyLinkedList (with private head and public sorted_insert)
"""
class Node:
"""
class Node definition
Args:
data (int): private
next_node : private; can be None or Node... | 23.179688 | 78 | 0.532524 | 340 | 2,967 | 4.432353 | 0.202941 | 0.138023 | 0.043796 | 0.023889 | 0.272064 | 0.135368 | 0.066357 | 0.066357 | 0.066357 | 0.066357 | 0 | 0.002193 | 0.385238 | 2,967 | 127 | 79 | 23.362205 | 0.824013 | 0.343108 | 0 | 0.265306 | 0 | 0 | 0.035692 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163265 | false | 0 | 0 | 0 | 0.326531 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90303a8de55d76b20b74b604783236c6d15111a5 | 310 | py | Python | BI-IOS/semester-project/webapp/beecon/campaigns/urls.py | josefdolezal/fit-cvut | 6b6abea4232b946246d33290718d6c5007926b63 | [
"MIT"
] | 20 | 2016-05-15T10:39:53.000Z | 2022-03-29T00:06:06.000Z | BI-IOS/semester-project/webapp/beecon/campaigns/urls.py | josefdolezal/fit-cvut | 6b6abea4232b946246d33290718d6c5007926b63 | [
"MIT"
] | 3 | 2017-05-27T16:44:01.000Z | 2019-01-02T21:02:59.000Z | BI-IOS/semester-project/webapp/beecon/campaigns/urls.py | josefdolezal/fit-cvut | 6b6abea4232b946246d33290718d6c5007926b63 | [
"MIT"
] | 11 | 2018-08-22T21:16:32.000Z | 2021-04-10T22:42:34.000Z | from django.conf.urls import url
from . import views
app_name = 'campaigns'
urlpatterns = [
url( r'^$', views.JsonView.response, name='index' ),
url( r'^(?P<app_code>[a-zA-Z0-9]+)/info/$', views.info, name='info' ),
url( r'^(?P<app_code>[a-zA-Z0-9]+)/services/$', views.services, name='services' ),
]
| 25.833333 | 84 | 0.632258 | 48 | 310 | 4.020833 | 0.479167 | 0.062176 | 0.051813 | 0.082902 | 0.186529 | 0.186529 | 0.186529 | 0.186529 | 0.186529 | 0 | 0 | 0.01476 | 0.125806 | 310 | 11 | 85 | 28.181818 | 0.697417 | 0 | 0 | 0 | 0 | 0 | 0.322581 | 0.232258 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9032381dcc04f711d03772a06dc91a54a4d1b366 | 5,802 | py | Python | models/joint_representation.py | ybCliff/VideoCaptioning | 93fc3b095c970e51e1e24909163a827df98d6ef3 | [
"MIT"
] | 3 | 2020-05-16T23:59:57.000Z | 2021-06-14T01:59:41.000Z | models/joint_representation.py | ybCliff/VideoCaptioning | 93fc3b095c970e51e1e24909163a827df98d6ef3 | [
"MIT"
] | null | null | null | models/joint_representation.py | ybCliff/VideoCaptioning | 93fc3b095c970e51e1e24909163a827df98d6ef3 | [
"MIT"
] | 3 | 2020-05-17T00:01:01.000Z | 2020-07-28T18:04:05.000Z | import torch
import torch.nn as nn
class Gated_Sum(nn.Module):
def __init__(self, opt):
super(Gated_Sum, self).__init__()
hidden_size = opt['dim_hidden']
nf = opt.get('num_factor', 512)
self.hidden_size = hidden_size
self.num_feats = len(opt['modality']) - sum(opt['skip_in... | 39.739726 | 146 | 0.601344 | 771 | 5,802 | 4.30869 | 0.178988 | 0.109573 | 0.054184 | 0.028898 | 0.276039 | 0.219446 | 0.173691 | 0.159843 | 0.083082 | 0.083082 | 0 | 0.012114 | 0.274388 | 5,802 | 146 | 147 | 39.739726 | 0.77696 | 0.13909 | 0 | 0.06383 | 0 | 0 | 0.034545 | 0.005824 | 0 | 0 | 0 | 0 | 0.042553 | 1 | 0.06383 | false | 0 | 0.031915 | 0 | 0.148936 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9034fc76134be07855830d17f0d402a691811b26 | 2,489 | py | Python | scream/monorepo.py | r-kells/scream | 3f5d325cd05a0f3eccc4b579b4929be49029ab09 | [
"MIT"
] | 26 | 2018-11-29T13:33:25.000Z | 2021-11-22T18:45:19.000Z | scream/monorepo.py | r-kells/scream | 3f5d325cd05a0f3eccc4b579b4929be49029ab09 | [
"MIT"
] | 14 | 2019-01-20T00:07:13.000Z | 2020-07-15T13:19:29.000Z | scream/monorepo.py | r-kells/scream | 3f5d325cd05a0f3eccc4b579b4929be49029ab09 | [
"MIT"
] | 2 | 2019-02-25T17:31:47.000Z | 2020-01-22T22:10:41.000Z | import collections
from scream.files import Docs, Scream, Tox
class Monorepo(object):
def __init__(self, root_dir):
self.root_dir = root_dir
self.config = Scream(self.root_dir)
def sync(self):
"""Used internally ensure monorepo maintains certain standards.
"""
self.co... | 34.09589 | 107 | 0.627561 | 280 | 2,489 | 5.335714 | 0.282143 | 0.096386 | 0.044177 | 0.02008 | 0.323963 | 0.311914 | 0.147256 | 0.064257 | 0.064257 | 0.064257 | 0 | 0.004469 | 0.280836 | 2,489 | 72 | 108 | 34.569444 | 0.830168 | 0.024106 | 0 | 0.232143 | 0 | 0 | 0.057581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.035714 | 0 | 0.267857 | 0.017857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9037bc76d22fa05dd0f3bfed5e08c4fd3d0cc516 | 538 | py | Python | tbase/common/logger.py | iminders/TradeBaselines | 26eb87f2bcd5f6ff479149219b38b17002be6a40 | [
"MIT"
] | 16 | 2020-03-19T15:12:28.000Z | 2021-12-20T06:02:32.000Z | tbase/common/logger.py | iminders/TradeBaselines | 26eb87f2bcd5f6ff479149219b38b17002be6a40 | [
"MIT"
] | 14 | 2020-03-23T03:57:00.000Z | 2021-12-20T05:53:33.000Z | tbase/common/logger.py | iminders/TradeBaselines | 26eb87f2bcd5f6ff479149219b38b17002be6a40 | [
"MIT"
] | 7 | 2020-03-25T00:30:18.000Z | 2021-01-31T18:45:09.000Z | import logging
import os
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s %(filename)s[%(lineno)d] %(levelname)s %(message)s')
logger = logging.getLogger()
dir_name = os.path.join("/tmp", "tbase")
if not os.path.exists(dir_name):
os.makedirs(dir_name)
handler = logging.FileHandler(os.path.jo... | 26.9 | 76 | 0.723048 | 74 | 538 | 5.202703 | 0.445946 | 0.072727 | 0.083117 | 0.088312 | 0.218182 | 0.218182 | 0.218182 | 0.218182 | 0.218182 | 0.218182 | 0 | 0 | 0.10223 | 538 | 19 | 77 | 28.315789 | 0.797101 | 0 | 0 | 0 | 0 | 0.133333 | 0.263941 | 0.089219 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
903bd4a9af5949595a7b7528cd44f5048565dedd | 10,070 | py | Python | torchsrc/models/fcn32s_BN.py | yuankaihuo/MedPhysics | 94d8c5357b76658b9b161b541a1f195c6550ce55 | [
"Apache-2.0"
] | null | null | null | torchsrc/models/fcn32s_BN.py | yuankaihuo/MedPhysics | 94d8c5357b76658b9b161b541a1f195c6550ce55 | [
"Apache-2.0"
] | null | null | null | torchsrc/models/fcn32s_BN.py | yuankaihuo/MedPhysics | 94d8c5357b76658b9b161b541a1f195c6550ce55 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
# https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/surgery.py
def get_upsample_filter(size):
"""Make a 2D bilinear kernel suitable for upsampling"""
factor = (size + 1) // 2
if size % 2 == 1:
... | 36.751825 | 101 | 0.523932 | 1,279 | 10,070 | 4.061767 | 0.139171 | 0.065448 | 0.085082 | 0.060635 | 0.47719 | 0.362079 | 0.350529 | 0.350529 | 0.344562 | 0.344562 | 0 | 0.092868 | 0.331678 | 10,070 | 273 | 102 | 36.886447 | 0.679049 | 0.090765 | 0 | 0.325123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009852 | 1 | 0.024631 | false | 0 | 0.019704 | 0 | 0.059113 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
903c7397f31fe34f15318c7f6541642d7c880c26 | 1,067 | py | Python | src/schema/models.py | prashant0079/metabolic_assignment | 9660ef06e6015833e3c64de9c3fe34927c85ba49 | [
"MIT"
] | null | null | null | src/schema/models.py | prashant0079/metabolic_assignment | 9660ef06e6015833e3c64de9c3fe34927c85ba49 | [
"MIT"
] | 1 | 2021-09-05T15:39:56.000Z | 2021-09-05T20:26:39.000Z | src/schema/models.py | prashant0079/metabolic_assignment | 9660ef06e6015833e3c64de9c3fe34927c85ba49 | [
"MIT"
] | null | null | null | from pydantic import BaseModel
from typing import List
# The models used in this module are being used by the API
# for type validation using Pydantic as FastAPI is reliant
# on pydantic for Data validation
class GeographySchema(BaseModel):
id: int
short_name: str
name: str
class EntrySchema(BaseModel)... | 17.209677 | 58 | 0.68135 | 129 | 1,067 | 5.55814 | 0.403101 | 0.048815 | 0.078103 | 0.100418 | 0.152022 | 0.121339 | 0.083682 | 0 | 0 | 0 | 0 | 0 | 0.266167 | 1,067 | 61 | 59 | 17.491803 | 0.915709 | 0.135895 | 0 | 0.512195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04878 | 0 | 0.902439 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
903de14b44d3f2b0857467165c0169f5dac5d5b8 | 404 | py | Python | app.py | 923310233/APk-Down-Load | e7c3e4fdfbf9f7d8398d91ce0c5c028dfc685f3a | [
"MIT"
] | 2 | 2021-07-28T07:06:55.000Z | 2021-07-28T07:08:19.000Z | app.py | 923310233/APk-Down-Load | e7c3e4fdfbf9f7d8398d91ce0c5c028dfc685f3a | [
"MIT"
] | null | null | null | app.py | 923310233/APk-Down-Load | e7c3e4fdfbf9f7d8398d91ce0c5c028dfc685f3a | [
"MIT"
] | null | null | null | import subprocess
f = open("app_list.csv","r")
lines = f.readlines()
for line in lines:
print(line.strip())
command = "node app.js " + line.strip();
display = subprocess.run(command, stdout=subprocess.PIPE, shell=True)
# display = subprocess.run(["sudo","-u",username,"tshark", "-r", pcapname, "-Y", disp... | 31.076923 | 126 | 0.680693 | 55 | 404 | 4.927273 | 0.6 | 0.066421 | 0.147601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133663 | 404 | 13 | 127 | 31.076923 | 0.774286 | 0.408416 | 0 | 0 | 0 | 0 | 0.105485 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
903ed7280655c7a88f5f5eb4e9a427e26a17d12e | 4,035 | py | Python | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | 1 | 2019-08-27T04:20:06.000Z | 2019-08-27T04:20:06.000Z | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | null | null | null | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
from django.utils.timezone import now
class Vendor(models.Model):
user = models.ManyToManyField(User)
name = models.CharField(max_length=30, null=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.Date... | 36.351351 | 102 | 0.691698 | 510 | 4,035 | 5.292157 | 0.172549 | 0.065209 | 0.073361 | 0.097814 | 0.727677 | 0.67877 | 0.596147 | 0.513524 | 0.482401 | 0.426454 | 0 | 0.017841 | 0.180421 | 4,035 | 110 | 103 | 36.681818 | 0.798307 | 0 | 0 | 0.430233 | 0 | 0 | 0.033457 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0.034884 | 0.093023 | 0.883721 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9040b2be08c9dcba639583373b5f0c4c01de3091 | 13,242 | py | Python | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 262 | 2015-01-29T20:10:49.000Z | 2022-03-23T01:59:23.000Z | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 5 | 2015-01-21T02:37:35.000Z | 2021-11-23T02:26:00.000Z | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 194 | 2015-01-08T07:39:27.000Z | 2022-03-30T13:51:23.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under th... | 33.953846 | 79 | 0.614258 | 1,493 | 13,242 | 5.320831 | 0.170127 | 0.026057 | 0.034743 | 0.02719 | 0.530841 | 0.468907 | 0.364552 | 0.300101 | 0.260196 | 0.201158 | 0 | 0.017726 | 0.292781 | 13,242 | 389 | 80 | 34.041131 | 0.830539 | 0.280849 | 0 | 0.232143 | 0 | 0 | 0.138629 | 0.049956 | 0 | 0 | 0 | 0.002571 | 0 | 1 | 0.0625 | false | 0.004464 | 0.040179 | 0 | 0.1875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9040cb412be761146b6669d9fd4eade5a3ac0512 | 12,287 | py | Python | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | 3 | 2019-01-28T12:21:14.000Z | 2019-02-10T19:58:07.000Z | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from numpy.testing import assert_allclose
from astropy.coordinates import Angle
from astropy.tests.helper import pytest, assert_quantity_allclose
from ast... | 39.763754 | 90 | 0.657524 | 1,631 | 12,287 | 4.786021 | 0.195586 | 0.050218 | 0.040866 | 0.025109 | 0.425826 | 0.358698 | 0.328593 | 0.298232 | 0.272483 | 0.248655 | 0 | 0.049698 | 0.231952 | 12,287 | 308 | 91 | 39.892857 | 0.777472 | 0.198258 | 0 | 0.343284 | 0 | 0 | 0.051192 | 0.012644 | 0 | 0 | 0 | 0.006494 | 0.179104 | 1 | 0.084577 | false | 0 | 0.064677 | 0 | 0.159204 | 0.004975 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90459d8bfe26d007178d66a09649931906768496 | 5,829 | py | Python | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | 2 | 2021-01-16T13:42:14.000Z | 2021-03-03T19:36:47.000Z | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | null | null | null | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | null | null | null | ### A module containing various utilities used at various points throughout the processes of submitting and analyzing problems ###
import os
import json
import subprocess
import hashlib
import sys
import random
import string
from .output_processor import process_output
from . import code_templates
def make_file(path,... | 40.2 | 198 | 0.632699 | 754 | 5,829 | 4.667109 | 0.274536 | 0.031827 | 0.018755 | 0.024155 | 0.247798 | 0.22819 | 0.212276 | 0.186132 | 0.123615 | 0.103723 | 0 | 0.009729 | 0.259393 | 5,829 | 145 | 199 | 40.2 | 0.80542 | 0.164522 | 0 | 0.09009 | 0 | 0 | 0.09338 | 0.023034 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0.009009 | 0.09009 | 0 | 0.225225 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
904821f621f97dceeec43eb063d81e21fa90c37c | 21,136 | py | Python | wazimap/data/utils.py | AssembleOnline/wazimap | 1b8b68fb231b768047eee1b20ed180e4820a2890 | [
"MIT"
] | 1 | 2019-01-14T15:37:03.000Z | 2019-01-14T15:37:03.000Z | wazimap/data/utils.py | Bhanditz/wazimap | fde22a0874020cf0ae013aeec7ab55b7c5a70b27 | [
"MIT"
] | null | null | null | wazimap/data/utils.py | Bhanditz/wazimap | fde22a0874020cf0ae013aeec7ab55b7c5a70b27 | [
"MIT"
] | null | null | null | from __future__ import division
from collections import OrderedDict
from sqlalchemy import create_engine, MetaData, func
from sqlalchemy.orm import sessionmaker, class_mapper
from django.conf import settings
from django.db.backends.base.creation import TEST_DATABASE_PREFIX
from django.db import connection
if settin... | 36.758261 | 138 | 0.607116 | 2,761 | 21,136 | 4.519377 | 0.159725 | 0.01154 | 0.007213 | 0.005289 | 0.148341 | 0.115403 | 0.09673 | 0.070284 | 0.057702 | 0.052412 | 0 | 0.005025 | 0.303321 | 21,136 | 574 | 139 | 36.8223 | 0.842377 | 0.277016 | 0 | 0.180516 | 0 | 0 | 0.094829 | 0.011686 | 0 | 0 | 0 | 0.001742 | 0 | 1 | 0.051576 | false | 0.002865 | 0.028653 | 0.005731 | 0.137536 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9048acfcee11de068839ac11bcc199658e3bb1fe | 9,913 | py | Python | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | 10 | 2020-08-06T22:25:11.000Z | 2022-03-07T13:10:15.000Z | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | 2 | 2021-06-08T22:15:24.000Z | 2022-03-12T00:45:59.000Z | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | null | null | null | from time import time
from typing import *
import torch
from booster import Diagnostic
from torch import Tensor
from tqdm import tqdm
from .utils import cosine, percentile, RunningMean, RunningVariance
from ..estimators import GradientEstimator
from ..models import TemplateModel
def get_grads_from_tensor(model: Tem... | 42.545064 | 125 | 0.611924 | 1,260 | 9,913 | 4.684127 | 0.21746 | 0.016266 | 0.017791 | 0.016096 | 0.147069 | 0.076415 | 0.072857 | 0.052525 | 0.042697 | 0.011183 | 0 | 0.009255 | 0.291536 | 9,913 | 232 | 126 | 42.728448 | 0.831126 | 0.382528 | 0 | 0.094828 | 0 | 0 | 0.070229 | 0.003902 | 0 | 0 | 0 | 0 | 0.025862 | 1 | 0.025862 | false | 0 | 0.077586 | 0 | 0.12931 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
904a907ab750687eb1de030da0541431f23b5d88 | 1,081 | py | Python | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | def carrega_cidades():
resultado = []
with open('cidades.csv', 'r', encoding='utf-8') as arquivo:
for linha in arquivo:
uf, ibge, nome, dia, mes, pop = linha.split(';')
resultado.append(
(uf, int(ibge), nome, int(dia), int(mes), int(pop))
)
arquivo... | 30.885714 | 138 | 0.543941 | 134 | 1,081 | 4.313433 | 0.507463 | 0.048443 | 0.031142 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01423 | 0.284921 | 1,081 | 35 | 139 | 30.885714 | 0.733506 | 0 | 0 | 0 | 0 | 0.037037 | 0.259704 | 0.021257 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0 | 0 | 0.111111 | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f3a8ec38dd614e2783df50d617c5b8f3ca8b0f8 | 1,428 | py | Python | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import re
# from pyltp import Segmentor
import jieba.posseg as pseg
import jieba
import os
import sys
import json
import math
# import kenlm
import nltk
from collections import Counter
def dataSplit(inputpath, count):
(filepath, tempfilename) = os.path.split(inputpath)
(filename, exten... | 28 | 81 | 0.621148 | 178 | 1,428 | 4.977528 | 0.421348 | 0.022573 | 0.063205 | 0.076749 | 0.214447 | 0.214447 | 0.214447 | 0.214447 | 0.214447 | 0.214447 | 0 | 0.01184 | 0.231092 | 1,428 | 50 | 82 | 28.56 | 0.795082 | 0.081933 | 0 | 0.146341 | 0 | 0 | 0.111877 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.219512 | 0 | 0.243902 | 0.219512 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f3df5f78e78d0ee2fc42ec4cf3a85208b508f67 | 7,178 | py | Python | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | """
This is a python script that converts u(rho, T), P(rho, T), Cs(rho,T), S(rho, T)
to T(rho, u), P(rho, u), Cs(rho, u), S(rho, u), which is more useful for SPH calculations
"""
import matplotlib.pyplot as plt
from collections import OrderedDict
import numpy as np
import pandas as pd
import csv
import sys
from scipy... | 34.344498 | 146 | 0.636389 | 1,013 | 7,178 | 4.363277 | 0.174729 | 0.036199 | 0.01629 | 0.01267 | 0.345475 | 0.280995 | 0.254525 | 0.201584 | 0.137104 | 0.083258 | 0 | 0.022692 | 0.195737 | 7,178 | 208 | 147 | 34.509615 | 0.742941 | 0.478406 | 0 | 0.120482 | 0 | 0 | 0.085888 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048193 | false | 0 | 0.096386 | 0 | 0.216867 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f3f44af77a5d9949e7fe7c6858624af3b7fa923 | 346 | py | Python | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | 1 | 2021-05-08T08:21:06.000Z | 2021-05-08T08:21:06.000Z | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | null | null | null | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('post_posts', views.post_posts),
path('fetch_posts', views.get_posts),
path('fetch_post/<pk>', views.get_post),
path('delete_post/<pk>', views.delete_post),
path('edit_post/<pk>', views.edit_post),
path('search_for_a_post', v... | 28.833333 | 54 | 0.699422 | 52 | 346 | 4.346154 | 0.326923 | 0.079646 | 0.146018 | 0.123894 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141619 | 346 | 12 | 55 | 28.833333 | 0.760943 | 0 | 0 | 0 | 0 | 0 | 0.239193 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f43a06d91c00b879b94bd9ca11de4d7d8fcab07 | 377 | py | Python | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | 23 | 2020-08-15T15:18:32.000Z | 2022-02-26T13:49:05.000Z | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
from rest_framework_jwt.views import (
obtain_jwt_token,
refresh_jwt_token,
)
urlpatterns = [
path('admin/', admin.site.urls),
path('token-auth/', obtain_jwt_token),
path('token-refresh/', refresh_jwt_token),
path('employ... | 22.176471 | 70 | 0.710875 | 48 | 377 | 5.375 | 0.416667 | 0.124031 | 0.108527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 377 | 16 | 71 | 23.5625 | 0.808777 | 0 | 0 | 0 | 0 | 0 | 0.161804 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f45037068a6ca19658fc2ba430b609e4386fc29 | 15,989 | py | Python | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | #General libs
import sys
import os
import json
from datetime import datetime
import time
#Data wrangling libs
import pandas as pd
import numpy as np
#DB related libs
from sqlalchemy import create_engine
#ML models related libs
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn.metrics import confusion_... | 37.888626 | 117 | 0.659704 | 1,896 | 15,989 | 5.327532 | 0.179852 | 0.01881 | 0.009801 | 0.008316 | 0.306108 | 0.244431 | 0.226314 | 0.208692 | 0.184536 | 0.111276 | 0 | 0.005528 | 0.264557 | 15,989 | 421 | 118 | 37.978622 | 0.853474 | 0.272625 | 0 | 0.144144 | 0 | 0 | 0.135254 | 0.015976 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045045 | false | 0 | 0.103604 | 0 | 0.18018 | 0.103604 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f501af017d1618fd9d8ac7f58bef0af07c22038 | 2,757 | py | Python | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 17 21:04:48 2018
@author: Alex Alves
Programa para determinar se um tumor de mama
é benigno (saida 0) ou maligno (saida 1)
"""
import pandas as pa
# Importação para poder dividir os dados entre treinamento da rede e testes de validação
from skl... | 33.216867 | 114 | 0.791077 | 406 | 2,757 | 5.251232 | 0.448276 | 0.078799 | 0.023921 | 0.030957 | 0.149625 | 0.136961 | 0.06848 | 0.06848 | 0.06848 | 0.06848 | 0 | 0.030826 | 0.117519 | 2,757 | 82 | 115 | 33.621951 | 0.845458 | 0.478781 | 0 | 0 | 0 | 0 | 0.080657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f587bf36e711ee18aa81e26269a6338ac9328eb | 1,388 | py | Python | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 866 | 2017-06-10T19:25:28.000Z | 2022-01-06T18:29:36.000Z | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 54 | 2017-06-11T06:41:19.000Z | 2022-01-10T23:06:03.000Z | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 167 | 2017-06-10T19:32:54.000Z | 2022-01-03T07:01:39.000Z | import requests
from Stephanie.configurer import config
class Updater:
def __init__(self, speaker):
self.speaker = speaker
self.c = config
self.current_version = self.c.config.get("APPLICATION", "version")
self.update_url = "https://raw.githubusercontent.com/SlapBot/va-version-check/master/version.json"
se... | 34.7 | 142 | 0.730548 | 195 | 1,388 | 5.097436 | 0.379487 | 0.080483 | 0.054326 | 0.044266 | 0.088531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.146974 | 1,388 | 39 | 143 | 35.589744 | 0.839527 | 0 | 0 | 0.176471 | 0 | 0.058824 | 0.366715 | 0.041066 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.058824 | 0 | 0.264706 | 0.176471 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f591fe59a581e7f936f818cedb0f094b131b698 | 24,533 | py | Python | WORC/featureprocessing/ComBat.py | MStarmans91/WORC | b6b8fc2ccb7d443a69b5ca20b1d6efb65b3f0fc7 | [
"ECL-2.0",
"Apache-2.0"
] | 47 | 2018-01-28T14:08:15.000Z | 2022-03-24T16:10:07.000Z | WORC/featureprocessing/ComBat.py | JZK00/WORC | 14e8099835eccb35d49b52b97c0be64ecca3809c | [
"ECL-2.0",
"Apache-2.0"
] | 13 | 2018-08-28T13:32:57.000Z | 2020-10-26T16:35:59.000Z | WORC/featureprocessing/ComBat.py | JZK00/WORC | 14e8099835eccb35d49b52b97c0be64ecca3809c | [
"ECL-2.0",
"Apache-2.0"
] | 16 | 2017-11-13T10:53:36.000Z | 2022-03-18T17:02:04.000Z | #!/usr/bin/env python
# Copyright 2020 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
#
# 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... | 40.684909 | 161 | 0.604329 | 2,968 | 24,533 | 4.798854 | 0.152628 | 0.055676 | 0.03665 | 0.028646 | 0.441831 | 0.35105 | 0.290739 | 0.246367 | 0.205294 | 0.186407 | 0 | 0.013316 | 0.292871 | 24,533 | 602 | 162 | 40.752492 | 0.807701 | 0.134309 | 0 | 0.252451 | 0 | 0.002451 | 0.103574 | 0.012325 | 0 | 0 | 0 | 0.001661 | 0 | 1 | 0.009804 | false | 0.004902 | 0.041667 | 0 | 0.056373 | 0.066176 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f59e320e469d3924b3247fe49f94eea11acee62 | 727 | py | Python | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | 1 | 2020-06-03T21:21:03.000Z | 2020-06-03T21:21:03.000Z | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | null | null | null | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | null | null | null | import os
import sys
from setuptools import setup, find_packages
ROOT = os.path.realpath(os.path.join(os.path.dirname(
sys.modules['__main__'].__file__)))
sys.path.insert(0, os.path.join(ROOT, 'src'))
setup(
name='pgworker',
packages=find_packages('src'),
package_dir={'': 'src'},
classifiers=[
... | 24.233333 | 53 | 0.603851 | 77 | 727 | 5.532468 | 0.571429 | 0.056338 | 0.176056 | 0.122066 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010929 | 0.244842 | 727 | 29 | 54 | 25.068966 | 0.765027 | 0 | 0 | 0 | 0 | 0 | 0.394773 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f5a0eafce7a5f076591e84cd9440a10e1d4e795 | 2,040 | py | Python | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | import os
import csv
path = '/Users/kevinkosumi12345/Genti/python-challenge/PyBank/Resources/budget_data.csv'
budget_csv=os.path.join("../Resources", "budget_data.csv")
csvfile = open(path, newline="")
reader=csv.reader(csvfile, delimiter=",")
header = next(reader)
# print(header)
# the columns we have to convert ... | 30.909091 | 129 | 0.702451 | 278 | 2,040 | 5.082734 | 0.320144 | 0.076433 | 0.067941 | 0.031139 | 0.154282 | 0.096249 | 0.096249 | 0.050955 | 0 | 0 | 0 | 0.00791 | 0.132353 | 2,040 | 66 | 130 | 30.909091 | 0.790395 | 0.32549 | 0 | 0 | 0 | 0 | 0.243382 | 0.077206 | 0.068966 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068966 | 0 | 0.068966 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f5b2c35892025ff370debbb01a9bff69a798ad0 | 1,516 | py | Python | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
T = 30000
# v = 0.02906
# v = 0.617085
v = 0.99
h = 0.01
a = 0.5
b = 0.5
epsilon = 0.05
c = 0.4
eta = lambda rho: np.exp(-(rho)**2/(2*c**2))
nrho = lambda rho, v: -2.0*(rho**3 + (rho-1.0)*v/2.0 - rho)/(rho + 1.0)
nu = lambda rho: (b - eta(rho+1))/a
u = np.zeros(T)
... | 28.603774 | 85 | 0.529024 | 357 | 1,516 | 2.232493 | 0.22409 | 0.041405 | 0.043915 | 0.022585 | 0.136763 | 0.102886 | 0.080301 | 0 | 0 | 0 | 0 | 0.126603 | 0.176781 | 1,516 | 53 | 86 | 28.603774 | 0.512019 | 0.168865 | 0 | 0 | 0 | 0 | 0.029624 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f5c0b0acb48624cb76c04ec88d096e81b40a0f1 | 176 | py | Python | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | import numpy as np
import os
my_array = np.zeros(10)
print(my_array)
os.system('pip freeze > requirements.txt')
my_list = [1,2,3,4,5]
for item in my_list:
print(item)
| 12.571429 | 42 | 0.693182 | 34 | 176 | 3.470588 | 0.705882 | 0.118644 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048276 | 0.176136 | 176 | 13 | 43 | 13.538462 | 0.765517 | 0 | 0 | 0 | 0 | 0 | 0.164773 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f5ebabcae4886b932638d5f3ecd10d1eb595d7b | 6,058 | py | Python | lib/blastin.py | zbwrnz/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | 1 | 2018-03-22T10:34:20.000Z | 2018-03-22T10:34:20.000Z | lib/blastin.py | arendsee/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | null | null | null | lib/blastin.py | arendsee/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | null | null | null | #! /usr/bin/python3
import argparse
import os
import re
import sqlite3 as sql
import sys
import xml.etree.cElementTree as et
import traceback
import lib.initialize as initialize
import lib.sqlite_interface as misc
import lib.meta as meta
# ==================
# EXPORTED FUNCTIONS
# ==================
def parse(pare... | 31.552083 | 83 | 0.530538 | 733 | 6,058 | 4.249659 | 0.268759 | 0.038202 | 0.020867 | 0.019262 | 0.083467 | 0.05618 | 0.023756 | 0.023756 | 0.023756 | 0 | 0 | 0.002925 | 0.322879 | 6,058 | 191 | 84 | 31.717277 | 0.75646 | 0.05794 | 0 | 0.155844 | 0 | 0 | 0.124955 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084416 | false | 0.025974 | 0.064935 | 0 | 0.168831 | 0.006494 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f67096a7114362044846dbb3a2978d1562f88ac | 700 | py | Python | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | # Bubble sort steps through the list and compares adjacent pairs of elements. The elements are swapped if they are in the wrong order. The pass through the unsorted portion of the list is repeated until the list is sorted. Because Bubble sort repeatedly passes through the unsorted part of the list, it has a worst case... | 36.842105 | 342 | 0.591429 | 111 | 700 | 3.720721 | 0.477477 | 0.067797 | 0.087167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012848 | 0.332857 | 700 | 19 | 343 | 36.842105 | 0.87152 | 0.482857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f670af72f12c73cbff679c29371d4269f74b778 | 551 | py | Python | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | 7 | 2019-02-22T10:34:26.000Z | 2021-07-13T01:51:48.000Z | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | null | null | null | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | 7 | 2018-11-09T13:52:34.000Z | 2021-03-18T20:36:22.000Z | def minion_game(string):
# Stuart score
s_idx = [i for i, c in enumerate(string) if c not in 'AEIOU']
s_score = sum([len(string)-i for i in s_idx])
# Kevin score
k_idx = [i for i, c in enumerate(string) if c in 'AEIOU']
k_score = sum([len(string)-i for i in k_idx])
# final result
if k_sc... | 30.611111 | 65 | 0.604356 | 91 | 551 | 3.417582 | 0.351648 | 0.051447 | 0.064309 | 0.051447 | 0.450161 | 0.340836 | 0.340836 | 0.340836 | 0.186495 | 0.186495 | 0 | 0 | 0.255898 | 551 | 17 | 66 | 32.411765 | 0.758537 | 0.067151 | 0 | 0 | 0 | 0 | 0.107843 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.076923 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f7622df0a14efca2dcdfe048326621ae11f4cbc | 550 | py | Python | blog/models.py | Happy-Project-Foundation/HappyProject | 86e9fa7633e68c026e0003f8494df0226fa0dfcf | [
"Apache-2.0"
] | 3 | 2021-12-04T15:00:54.000Z | 2021-12-08T16:07:35.000Z | blog/models.py | BirnadinErick/HappyProject | 4993a2d966d9c1458ce0e29e72c3a758a7a4ef54 | [
"Apache-2.0"
] | 3 | 2021-12-15T00:49:01.000Z | 2021-12-16T00:46:14.000Z | blog/models.py | Happy-Project-Foundation/HappyProject | 86e9fa7633e68c026e0003f8494df0226fa0dfcf | [
"Apache-2.0"
] | 3 | 2021-12-04T14:18:15.000Z | 2021-12-05T08:40:13.000Z | import uuid
from django.db import models
from django.db.models.fields import TextField
class Blog(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
title = models.CharField(verbose_name="Title", max_length=150, default="Happy Blog", blank=False)
content = models.T... | 32.352941 | 109 | 0.736364 | 74 | 550 | 5.324324 | 0.5 | 0.083756 | 0.060914 | 0.13198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021322 | 0.147273 | 550 | 16 | 110 | 34.375 | 0.818763 | 0 | 0 | 0 | 0 | 0 | 0.078182 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 0.090909 | 0.909091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f79434b07d0fd0852489b19f8f438fa54ae857d | 7,273 | py | Python | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 2 | 2021-09-26T07:03:54.000Z | 2022-02-21T15:46:30.000Z | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | null | null | null | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 1 | 2021-04-16T06:11:41.000Z | 2021-04-16T06:11:41.000Z | """
References: https://github.com/scaelles/OSVOS-TensorFlow
"""
from __future__ import print_function
import os
import random
import tensorflow as tf
import time
import numpy as np
from utils import models
from utils.load_data_finetune import Dataset
from utils.logger import create_logger
# seed
seed = random.randin... | 41.56 | 126 | 0.639214 | 933 | 7,273 | 4.705252 | 0.219721 | 0.028702 | 0.034169 | 0.043052 | 0.256036 | 0.205923 | 0.15467 | 0.140091 | 0.140091 | 0.140091 | 0 | 0.017331 | 0.262203 | 7,273 | 174 | 127 | 41.798851 | 0.800783 | 0.179843 | 0 | 0.083333 | 0 | 0 | 0.134641 | 0.047869 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.083333 | 0 | 0.12037 | 0.009259 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f7a417145bc1e9d7aeea4542c8fef811419cb42 | 4,906 | py | Python | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | import subprocess
import os
import shutil
import tempfile
import random
import string
import yaml
src_dir=os.path.dirname(os.path.realpath(__file__))
def codepod(*,repository='',image=None,volumes=[],mount_tmp=True,host_working_directory=None,docker_opts=None,git_smart=False,no_pull=False,command=False):
if not d... | 35.294964 | 155 | 0.664492 | 640 | 4,906 | 4.917188 | 0.254688 | 0.055926 | 0.101684 | 0.042262 | 0.224658 | 0.175405 | 0.116301 | 0.075628 | 0.06101 | 0.06101 | 0 | 0.004713 | 0.178353 | 4,906 | 138 | 156 | 35.550725 | 0.775986 | 0.091521 | 0 | 0.117647 | 0 | 0.019608 | 0.264746 | 0.113913 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068627 | false | 0 | 0.068627 | 0.019608 | 0.176471 | 0.127451 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f7b66cd930462b5d1756ba227c23eb8265b8002 | 5,040 | py | Python | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 388 | 2018-09-13T20:48:58.000Z | 2020-11-23T11:52:13.000Z | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 597 | 2018-10-08T12:45:29.000Z | 2020-11-24T17:53:12.000Z | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 228 | 2018-11-06T02:04:14.000Z | 2020-12-09T07:51:02.000Z | #! /usr/bin/env python3
# coding=utf-8
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
# Copyright 2021 The MLPerf Authors. 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... | 32.101911 | 91 | 0.698611 | 727 | 5,040 | 4.734525 | 0.310867 | 0.055782 | 0.020918 | 0.019756 | 0.36258 | 0.32946 | 0.30796 | 0.30796 | 0.286461 | 0.286461 | 0 | 0.017799 | 0.208532 | 5,040 | 156 | 92 | 32.307692 | 0.845074 | 0.333135 | 0 | 0.125 | 0 | 0 | 0.291732 | 0.024025 | 0 | 0 | 0 | 0 | 0.041667 | 1 | 0.111111 | false | 0 | 0.055556 | 0 | 0.263889 | 0.013889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f7d2edfb9acb222096440265492c363f375f8a6 | 3,047 | py | Python | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 13 | 2019-03-22T13:30:04.000Z | 2022-02-01T04:46:44.000Z | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 3 | 2020-07-01T11:17:40.000Z | 2022-02-13T11:20:34.000Z | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 11 | 2018-07-02T23:46:31.000Z | 2021-12-14T12:29:38.000Z | import binaryRepr
# Create decorator function to see how many times functions are called
def call_counter(func):
def helper(*args, **kwargs):
helper.calls += 1
return func(*args, **kwargs);
helper.calls = 0
helper.__name__= func.__name__
return helper;
# Calculate Partition (C_k, ... | 43.528571 | 187 | 0.637348 | 435 | 3,047 | 4.363218 | 0.305747 | 0.01686 | 0.015806 | 0.031612 | 0.155954 | 0.081138 | 0.061117 | 0.061117 | 0.061117 | 0.061117 | 0 | 0.009362 | 0.263866 | 3,047 | 69 | 188 | 44.15942 | 0.836826 | 0.529373 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.041667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f7e6f4612c23637da085f15ec80d97da8c65063 | 1,712 | py | Python | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | 1 | 2021-01-16T15:42:01.000Z | 2021-01-16T15:42:01.000Z | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | null | null | null | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
import experiments.benchmarks.benchmark as benchmark
class ActivityBenchmark(benchmark.Benchmark):
def __init__(self):
super().__init__('activity',
(('--sequence_length', 64, int),
('--max_samples', 40_00... | 45.052632 | 139 | 0.624416 | 186 | 1,712 | 5.424731 | 0.413978 | 0.059465 | 0.062438 | 0.065411 | 0.124876 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014914 | 0.255841 | 1,712 | 37 | 140 | 46.27027 | 0.77708 | 0 | 0 | 0 | 0 | 0 | 0.098715 | 0.031542 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f8081343c9866235ed311ae6467c672bfbe7609 | 4,685 | py | Python | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | import xml.etree.ElementTree as et
from dateutil import parser
from django.shortcuts import render
from django.shortcuts import redirect
from django.core.urlresolvers import reverse
import untangle
from .forms import MenuplanSearchForm
from .forms import MenuplanCreateForm
from .tables import MenuplanTable
from .... | 30.225806 | 81 | 0.547492 | 466 | 4,685 | 5.345494 | 0.253219 | 0.048173 | 0.024087 | 0.033721 | 0.07788 | 0.054597 | 0.044159 | 0.044159 | 0.044159 | 0.044159 | 0 | 0.000325 | 0.34365 | 4,685 | 154 | 82 | 30.422078 | 0.809756 | 0 | 0 | 0.132743 | 0 | 0 | 0.089861 | 0.008965 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035398 | false | 0.00885 | 0.115044 | 0.00885 | 0.19469 | 0.017699 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f809ea0bdda1d52d937bea676c3f2375a0406e8 | 6,448 | py | Python | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 5 | 2021-12-01T09:55:23.000Z | 2021-12-21T16:23:33.000Z | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 1 | 2022-03-14T16:50:41.000Z | 2022-03-14T16:50:41.000Z | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 2 | 2021-11-03T09:43:09.000Z | 2021-11-17T10:16:29.000Z | from contextlib import closing
from io import StringIO
import numpy
import pandas
from airflow.providers.postgres.hooks.postgres import PostgresHook
from psycopg2.extensions import connection as psycopg2_connection
from data_detective_airflow.dag_generator.works import WorkType
from data_detective_airflow.operators.s... | 39.317073 | 109 | 0.640199 | 845 | 6,448 | 4.602367 | 0.220118 | 0.041142 | 0.053998 | 0.023142 | 0.163795 | 0.124968 | 0.083312 | 0.046284 | 0.024685 | 0.024685 | 0 | 0.002941 | 0.261787 | 6,448 | 163 | 110 | 39.558282 | 0.814076 | 0.113058 | 0 | 0.107438 | 0 | 0 | 0.233676 | 0.036551 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041322 | false | 0 | 0.066116 | 0 | 0.140496 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f83b8fcb8f9923c7beb83eb883b788a12549bf3 | 32,588 | py | Python | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 3 | 2020-03-25T22:19:17.000Z | 2020-11-02T16:11:32.000Z | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 44 | 2020-03-25T14:17:54.000Z | 2022-03-12T00:18:48.000Z | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 2 | 2020-03-25T12:17:12.000Z | 2020-06-19T23:07:52.000Z | """Plangym API implementation."""
from abc import ABC
from typing import Any, Callable, Dict, Generator, Iterable, Optional, Tuple, Union
import gym
from gym.envs.registration import registry as gym_registry
from gym.spaces import Space
import numpy
import numpy as np
wrap_callable = Union[Callable[[], gym.Wrapper],... | 36.574635 | 99 | 0.613232 | 3,925 | 32,588 | 4.952866 | 0.102166 | 0.049691 | 0.022222 | 0.00823 | 0.494136 | 0.434465 | 0.410185 | 0.376029 | 0.356584 | 0.34784 | 0 | 0.001401 | 0.29919 | 32,588 | 890 | 100 | 36.61573 | 0.849812 | 0.419878 | 0 | 0.354839 | 0 | 0 | 0.016653 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.172811 | false | 0.006912 | 0.016129 | 0 | 0.327189 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f890b9328d6983928b109fecc583fe7148f59dc | 6,426 | py | Python | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | # Layer 2 server script
# project worker
'''-.
+#_pü'-.....
ö*+...:(loop):..............................................
m}°: \
€>!: 1. register clients \
&w^: 2. distribute WLs and add them to pending \... | 36.931034 | 124 | 0.495331 | 755 | 6,426 | 4.215894 | 0.223841 | 0.076029 | 0.067861 | 0.042413 | 0.325479 | 0.231543 | 0.114672 | 0.061263 | 0.024505 | 0.024505 | 0 | 0.01384 | 0.336601 | 6,426 | 173 | 125 | 37.144509 | 0.730237 | 0.123561 | 0 | 0.117188 | 0 | 0.007813 | 0.228887 | 0.091996 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046875 | false | 0.039063 | 0.015625 | 0 | 0.070313 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f8a8dc4b802b22d26a8494296192bb50d7f2d9a | 2,677 | py | Python | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | import factory
from spaceone.core import utils
from spaceone.statistics.model.schedule_model import Schedule, Scheduled, JoinQuery, Formula, QueryOption
class ScheduledFactory(factory.mongoengine.MongoEngineFactory):
class Meta:
model = Scheduled
cron = '*/5 * * * *'
interval = 5
minutes = ... | 26.245098 | 105 | 0.548001 | 234 | 2,677 | 6.141026 | 0.376068 | 0.06263 | 0.125261 | 0.142658 | 0.427279 | 0.427279 | 0.253306 | 0.192067 | 0.161447 | 0.161447 | 0 | 0.011186 | 0.332088 | 2,677 | 101 | 106 | 26.504951 | 0.792506 | 0 | 0 | 0.2875 | 0 | 0 | 0.125514 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0375 | 0 | 0.475 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9164c1cc7e9494a573895e93fd39680b8520f6 | 1,324 | py | Python | ymir/backend/src/ymir_app/app/models/iteration.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | null | null | null | ymir/backend/src/ymir_app/app/models/iteration.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | 1 | 2022-01-18T09:28:29.000Z | 2022-01-18T09:28:29.000Z | ymir/backend/src/ymir_app/app/models/iteration.py | Aryalfrat/ymir | d4617ed00ef67a77ab4e1944763f608bface4be6 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from sqlalchemy import Boolean, Column, DateTime, Integer, SmallInteger, String
from app.config import settings
from app.db.base_class import Base
from app.models.task import Task # noqa
class Iteration(Base):
__tablename__ = "iteration"
id = Column(Integer, primary_key=True, ... | 36.777778 | 79 | 0.749245 | 162 | 1,324 | 5.919753 | 0.32716 | 0.149114 | 0.140772 | 0.114703 | 0.397289 | 0.265902 | 0.077164 | 0 | 0 | 0 | 0 | 0.001805 | 0.163142 | 1,324 | 35 | 80 | 37.828571 | 0.863718 | 0.003021 | 0 | 0 | 0 | 0 | 0.006829 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.178571 | 0 | 0.821429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f94b482c019a016c621810412b2112d18748236 | 958 | py | Python | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | null | null | null | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | 1 | 2015-03-25T22:35:52.000Z | 2015-03-25T22:35:52.000Z | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | null | null | null | # Mendel's First Law
# http://rosalind.info/problems/iprb/
import sys
import unittest
class iprb:
def main(self, hom_dom, het, hom_rec):
total = hom_dom + het + hom_rec
p_hom_dom = hom_dom / total
p_het = het / total
p_hom_rec = hom_rec / total
prob = 1
prob -= p_hom_rec * ((hom_rec-1)/(total-1))
pro... | 23.365854 | 51 | 0.654489 | 166 | 958 | 3.548193 | 0.289157 | 0.112054 | 0.067912 | 0.081494 | 0.224109 | 0.078098 | 0.078098 | 0 | 0 | 0 | 0 | 0.036269 | 0.194154 | 958 | 41 | 52 | 23.365854 | 0.726684 | 0.056367 | 0 | 0.0625 | 0 | 0 | 0.038803 | 0 | 0 | 0 | 0 | 0 | 0.03125 | 1 | 0.09375 | false | 0 | 0.0625 | 0 | 0.25 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f96125b242a38cf3339aa9cccbeb3af52c0c4f9 | 3,679 | py | Python | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | #MAIN method and graphics
try:
from OpenGL.GL import *
from OpenGL import GLU
import OpenGL.GL.shaders
except:
print("OpenGL wrapper for python not found")
import glfw
import numpy as np
from computation import Computation
class Graphics:
def __init__(self,width,height, computation):
... | 44.325301 | 141 | 0.651264 | 419 | 3,679 | 5.599045 | 0.353222 | 0.042199 | 0.025575 | 0.071611 | 0.212276 | 0.193521 | 0.148338 | 0.127025 | 0.067349 | 0.067349 | 0 | 0.027628 | 0.242457 | 3,679 | 83 | 142 | 44.325301 | 0.814137 | 0.041044 | 0 | 0.094595 | 0 | 0 | 0.039478 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.081081 | 0 | 0.189189 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9861c2730925ff3619b6059676dc2a261cbae6 | 827 | py | Python | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 9 | 2020-08-12T10:01:00.000Z | 2022-01-05T04:37:48.000Z | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 1 | 2021-02-16T10:19:31.000Z | 2021-02-16T10:19:31.000Z | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 4 | 2020-08-12T10:13:31.000Z | 2021-11-05T01:26:58.000Z | # -*- coding: utf-8 -*-
# @Author : LG
"""
执行用时:152 ms, 在所有 Python3 提交中击败了96.83% 的用户
内存消耗:14 MB, 在所有 Python3 提交中击败了12.45% 的用户
解题思路:
见代码注释
"""
class Solution:
def lemonadeChange(self, bills: List[int]) -> bool:
five = ten = 0 # 5元10元初始各0个
for bill in bills:
if bill == 20: # 对于20,... | 27.566667 | 59 | 0.41717 | 90 | 827 | 3.833333 | 0.644444 | 0.043478 | 0.046377 | 0.052174 | 0.075362 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108747 | 0.488513 | 827 | 30 | 60 | 27.566667 | 0.706856 | 0.246675 | 0 | 0.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9a0e11f9d9a926bf4cc162d77896b7f50869b6 | 4,668 | py | Python | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | null | null | null | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | 4 | 2020-07-24T19:31:51.000Z | 2022-03-12T00:41:28.000Z | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | null | null | null | from mxnet import nd
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..')))
import utils.common as dataset_commons
import cv2
import numpy as np
import glob
import pandas as pd
from gluoncv.data.transforms.presets.ssd import SSDDefaultTrainTransform
from matplotlib import... | 33.826087 | 130 | 0.633248 | 647 | 4,668 | 4.357032 | 0.293663 | 0.042568 | 0.03973 | 0.030153 | 0.202909 | 0.179142 | 0.090458 | 0.063852 | 0.063852 | 0.036893 | 0 | 0.024083 | 0.252785 | 4,668 | 137 | 131 | 34.072993 | 0.784117 | 0.11611 | 0 | 0.096774 | 0 | 0 | 0.058838 | 0.009052 | 0 | 0 | 0 | 0.007299 | 0 | 1 | 0.053763 | false | 0 | 0.107527 | 0 | 0.204301 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9c3b49af1837552a765743d83f19677ef7b0fe | 3,476 | py | Python | targets/simple_router/flow_radar_bm/change_bm.py | tsihang-zz/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 15 | 2018-08-21T10:49:38.000Z | 2021-06-23T14:33:32.000Z | targets/simple_router/flow_radar_bm/change_bm.py | harvard-cns/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 1 | 2017-10-16T07:49:06.000Z | 2017-10-16T13:45:36.000Z | targets/simple_router/flow_radar_bm/change_bm.py | USC-NSL/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 6 | 2016-07-26T15:47:46.000Z | 2018-03-23T01:50:06.000Z | import re
import os
def changed(lines, token):
for line in lines:
if line.find(token) != -1:
return True
return False
# copy required files
def copy_files():
os.system("cp flow_radar.h ../build/bm/src")
# change actions.c to add flow_radar lock
def change_actions_c():
actions_c = open("../build/bm/src/actio... | 31.035714 | 148 | 0.649597 | 570 | 3,476 | 3.678947 | 0.187719 | 0.085837 | 0.047687 | 0.033381 | 0.571292 | 0.408202 | 0.285646 | 0.254173 | 0.22556 | 0.122079 | 0 | 0.011431 | 0.169448 | 3,476 | 111 | 149 | 31.315315 | 0.714929 | 0.025029 | 0 | 0.298969 | 0 | 0.010309 | 0.396455 | 0.153028 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051546 | false | 0 | 0.020619 | 0 | 0.123711 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9c577bd20e78c6c12bbdda22baa4f5a81a595e | 618 | py | Python | Python/Armstrong_Number.py | shashwat-agarwal/hacktoberfest-2 | 552a4278ffd671603f8659562427b0f1ac5127a4 | [
"Apache-2.0"
] | 17 | 2020-10-02T03:28:33.000Z | 2020-10-24T04:08:30.000Z | Python/Armstrong_Number.py | shubhamgoel90/hacktoberfest | e7b1aa18485c4a080b2568910f82e98a5feb6f37 | [
"Apache-2.0"
] | 22 | 2020-10-01T20:00:56.000Z | 2020-10-31T01:56:10.000Z | Python/Armstrong_Number.py | shubhamgoel90/hacktoberfest | e7b1aa18485c4a080b2568910f82e98a5feb6f37 | [
"Apache-2.0"
] | 139 | 2020-10-01T19:51:40.000Z | 2020-11-02T19:58:19.000Z | #Program to check whether the number is an armstrong number or not
#Ask user to enter the number
number=int(input("Enter the number you want to check armstrong: "))
#To calculate the length of number entered.
order=len(str(number))
#Initialise sum to 0
sum=0
temp=number
while temp>0:
num=temp%10
sum+=num**o... | 21.310345 | 68 | 0.723301 | 103 | 618 | 4.339806 | 0.368932 | 0.14094 | 0.134228 | 0.127517 | 0.431767 | 0.431767 | 0.431767 | 0.353468 | 0.187919 | 0 | 0 | 0.022 | 0.190939 | 618 | 28 | 69 | 22.071429 | 0.872 | 0.425566 | 0 | 0 | 0 | 0 | 0.439655 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9df6e37fc71858adef3ee969afe3699916d4a6 | 2,669 | py | Python | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | import logging
from maskgen import video_tools
import random
import maskgen.video_tools
import os
import maskgen
import json
plugin = "DonorPicker"
def transform(img, source, target, **kwargs):
valid = []
possible = []
data = {}
logging.getLogger('maskgen').info(str(kwargs))
for f in os.listdir(kwa... | 38.128571 | 124 | 0.557887 | 307 | 2,669 | 4.801303 | 0.345277 | 0.044776 | 0.040706 | 0.043419 | 0.150611 | 0.150611 | 0 | 0 | 0 | 0 | 0 | 0.004772 | 0.293368 | 2,669 | 70 | 125 | 38.128571 | 0.776776 | 0.104159 | 0 | 0 | 0 | 0 | 0.252931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.112903 | 0.016129 | 0.177419 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9e0f831db1b36f8edc783c6c1bfaa61c116474 | 1,228 | py | Python | track_model/eval_avg_scores.py | QUVA-Lab/lang-tracker | 6cb3630471765565b6f2d34a160f0cd51d95a082 | [
"BSD-2-Clause-FreeBSD"
] | 31 | 2017-09-13T13:40:59.000Z | 2022-01-25T16:55:19.000Z | track_model/eval_avg_scores.py | zhenyangli/lang-tracker | dddd808a22582573ab0a5e4c3dbf0ba054e42d61 | [
"BSD-3-Clause"
] | 4 | 2017-09-14T01:56:58.000Z | 2021-01-28T00:58:58.000Z | track_model/eval_avg_scores.py | QUVA-Lab/lang-tracker | 6cb3630471765565b6f2d34a160f0cd51d95a082 | [
"BSD-2-Clause-FreeBSD"
] | 9 | 2017-09-28T03:22:08.000Z | 2021-01-19T10:56:44.000Z | import caffe
import numpy as np
import os
import sys
import track_model_train as track_model
import train_config
max_iter = 1000
def eval_avg_scores(config):
with open('./track_model/scores.prototxt', 'w') as f:
f.write(str(track_model.generate_scores('', config)))
caffe.set_device(config.gpu_id)
... | 29.95122 | 90 | 0.643322 | 165 | 1,228 | 4.521212 | 0.472727 | 0.067024 | 0.034853 | 0.050938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093248 | 0.240228 | 1,228 | 40 | 91 | 30.7 | 0.706324 | 0.198697 | 0 | 0 | 0 | 0 | 0.124744 | 0.059305 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.214286 | 0 | 0.25 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5f9e1b47610239b65145f24fa61ab7d89533b94e | 1,968 | py | Python | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 1 | 2018-05-31T17:29:30.000Z | 2018-05-31T17:29:30.000Z | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 8 | 2015-02-20T16:22:12.000Z | 2019-04-25T23:57:43.000Z | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 8 | 2015-02-28T06:56:15.000Z | 2020-01-02T22:42:09.000Z | #
# Copyright (C) 2014 Conjur Inc
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distri... | 37.132075 | 82 | 0.757622 | 299 | 1,968 | 4.87291 | 0.424749 | 0.060398 | 0.030199 | 0.041181 | 0.154427 | 0.104324 | 0.104324 | 0.059025 | 0.059025 | 0.059025 | 0 | 0.004207 | 0.154472 | 1,968 | 52 | 83 | 37.846154 | 0.871394 | 0.533537 | 0 | 0.173913 | 0 | 0 | 0.101336 | 0 | 0 | 0 | 0 | 0 | 0.26087 | 1 | 0.173913 | false | 0 | 0.086957 | 0 | 0.26087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fa0436f9f5d626cf4b365a484376d1f5343ee15 | 5,046 | py | Python | FTPShell/FTPShell.py | dsogo/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | 17 | 2020-10-07T01:37:32.000Z | 2021-12-11T21:23:25.000Z | FTPShell/FTPShell.py | Al0nnso/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | null | null | null | FTPShell/FTPShell.py | Al0nnso/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | 8 | 2020-09-22T03:14:51.000Z | 2022-03-07T16:03:24.000Z | from pyftpdlib.authorizers import DummyAuthorizer
from pyftpdlib.handlers import FTPHandler
from multiprocessing import Process
from pyftpdlib import servers
from time import sleep
from requests import get
import socket
import psutil
import win32api
# Al0nnso - 2019
# FTP Reverse Shell
# NOT TESTED WITH EXTERN NETWOR... | 35.535211 | 92 | 0.441538 | 509 | 5,046 | 4.339882 | 0.273084 | 0.043006 | 0.040742 | 0.027162 | 0.179267 | 0.062472 | 0.028972 | 0 | 0 | 0 | 0 | 0.022177 | 0.419144 | 5,046 | 141 | 93 | 35.787234 | 0.731491 | 0.022989 | 0 | 0.320611 | 0 | 0 | 0.082284 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015267 | false | 0.030534 | 0.068702 | 0 | 0.083969 | 0.076336 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fa103b113b3be7f53cb7ec2e64ba88c2cf38693 | 8,321 | py | Python | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | 13 | 2020-02-19T02:09:00.000Z | 2021-12-16T23:15:58.000Z | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | 33 | 2020-02-12T11:21:51.000Z | 2022-02-10T00:48:17.000Z | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
import os
import pytest
from deep_reference_parser.io.io import (
read_jsonl,
write_jsonl,
load_tsv,
write_tsv,
_split_list_by_linebreaks,
_unpack,
)
from deep_reference_parser.reference_utils import yield_token_label_pairs
from .common import TEST_JSON... | 24.259475 | 88 | 0.414373 | 1,020 | 8,321 | 3.254902 | 0.107843 | 0.063253 | 0.05241 | 0.06988 | 0.629819 | 0.558434 | 0.509036 | 0.483735 | 0.471386 | 0.471386 | 0 | 0.026336 | 0.361134 | 8,321 | 342 | 89 | 24.330409 | 0.598194 | 0.118736 | 0 | 0.502439 | 0 | 0 | 0.19671 | 0 | 0 | 0 | 0 | 0 | 0.068293 | 1 | 0.058537 | false | 0 | 0.02439 | 0.004878 | 0.087805 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fa141b264762a22f9a2b6309a86900f4d79fb07 | 389 | py | Python | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 21 | 2019-04-15T07:25:48.000Z | 2022-03-19T04:21:43.000Z | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 30 | 2019-04-15T07:18:59.000Z | 2022-03-19T07:26:57.000Z | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 16 | 2019-02-21T11:59:32.000Z | 2022-02-23T17:33:16.000Z | import json
import responses
def test_get_priorities(api, mock, host):
mock.add_callback(
responses.GET,
'{}index.php?/api/v2/get_priorities'.format(host),
lambda x: (200, {}, json.dumps([{'id': 1, 'priority': 1}, {'id': 4, 'priority': 4}]))
)
resp = api.priorities.get_priorities... | 24.3125 | 93 | 0.59383 | 52 | 389 | 4.346154 | 0.519231 | 0.172566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039216 | 0.213368 | 389 | 15 | 94 | 25.933333 | 0.699346 | 0 | 0 | 0 | 0 | 0 | 0.164524 | 0.087404 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fa14c2eb69ff76b5ae4ab590ca445b49132d179 | 37,185 | py | Python | prescient/gosm/tester.py | iSoron/Prescient | a3c1d7c5840893ff43dca48c40dc90f083292d26 | [
"BSD-3-Clause"
] | 21 | 2020-06-03T13:54:22.000Z | 2022-02-27T18:20:35.000Z | prescient/gosm/tester.py | iSoron/Prescient | a3c1d7c5840893ff43dca48c40dc90f083292d26 | [
"BSD-3-Clause"
] | 79 | 2020-07-30T17:29:04.000Z | 2022-03-09T00:06:39.000Z | prescient/gosm/tester.py | bknueven/Prescient | 6289c06a5ea06c137cf1321603a15e0c96ddfb85 | [
"BSD-3-Clause"
] | 16 | 2020-07-14T17:05:56.000Z | 2022-02-17T17:51:13.000Z | # ___________________________________________________________________________
#
# Prescient
# Copyright 2020 National Technology & Engineering Solutions of Sandia, LLC
# (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain rights in this software.
# This software is ... | 43.644366 | 134 | 0.61584 | 4,520 | 37,185 | 4.91792 | 0.100885 | 0.019794 | 0.056593 | 0.010887 | 0.693643 | 0.627649 | 0.572405 | 0.52364 | 0.468262 | 0.437402 | 0 | 0.041509 | 0.25236 | 37,185 | 851 | 135 | 43.695652 | 0.758066 | 0.064004 | 0 | 0.479514 | 0 | 0 | 0.05282 | 0 | 0 | 0 | 0 | 0 | 0.08346 | 1 | 0.069803 | false | 0 | 0.025797 | 0.007587 | 0.124431 | 0.051593 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fa32fa26545cc0a0f75090c1a789058c3f6ac3d | 751 | py | Python | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | 1 | 2021-01-03T13:01:33.000Z | 2021-01-03T13:01:33.000Z | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | null | null | null | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | null | null | null | from collections import Counter
def refine(s):
result = []
for i in range(len(s) - 1):
bigram = s[i:i+2].lower()
if bigram.isalpha():
result.append(bigram)
return result
def solution(str1, str2):
counter1, counter2 = Counter(refine(str1)), Counter(refine(str2))
set1, se... | 31.291667 | 77 | 0.609854 | 113 | 751 | 3.929204 | 0.415929 | 0.027027 | 0.040541 | 0.036036 | 0.216216 | 0.171171 | 0.171171 | 0.171171 | 0.171171 | 0 | 0 | 0.055652 | 0.234354 | 751 | 24 | 78 | 31.291667 | 0.716522 | 0.046605 | 0 | 0 | 0 | 0 | 0.030726 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.315789 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5faad04658ea51684534a077173c5f03481fc86f | 6,728 | py | Python | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | 1 | 2021-07-28T06:02:44.000Z | 2021-07-28T06:02:44.000Z | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | null | null | null | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from requests import Request, Session
from requests.exceptions import ReadTimeout
import urllib3, requests, collections, http.client, optparse, sys, os
print("""\033[1;36m
_____ _
|__ /_ __ ___ _ _ __ _ __ _| | ___ _ __
/ /| '_ ` _ \| | | |/ _` |/ ... | 35.597884 | 148 | 0.5 | 658 | 6,728 | 4.93617 | 0.287234 | 0.142857 | 0.120382 | 0.143165 | 0.267857 | 0.239224 | 0.239224 | 0.213978 | 0.184421 | 0.163177 | 0 | 0.026651 | 0.35865 | 6,728 | 188 | 149 | 35.787234 | 0.726072 | 0.002527 | 0 | 0.233129 | 0 | 0.042945 | 0.284501 | 0.030402 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067485 | false | 0 | 0.018405 | 0 | 0.141104 | 0.06135 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5faed7df0481d882b8814038712e8be58ef77e17 | 3,397 | py | Python | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-09-15T10:10:26.000Z | 2021-09-15T10:10:26.000Z | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | null | null | null | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-06-11T15:29:43.000Z | 2021-06-11T15:29:43.000Z | #coding: utf-8
#import cl_to_xi_full
from __future__ import print_function
from builtins import range
import numpy as np
from cosmosis.datablock import option_section, names as section_names
from cl_to_xi import save_xi_00_02, save_xi_22, arcmin_to_radians, SpectrumInterp
from legendre import get_legfactors_00, get_leg... | 36.138298 | 87 | 0.657345 | 480 | 3,397 | 4.325 | 0.25625 | 0.093931 | 0.023121 | 0.028902 | 0.22736 | 0.202312 | 0.148844 | 0.148844 | 0.090559 | 0.090559 | 0 | 0.017689 | 0.251104 | 3,397 | 93 | 88 | 36.526882 | 0.798349 | 0.064469 | 0 | 0.178082 | 0 | 0 | 0.114754 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041096 | false | 0 | 0.082192 | 0.013699 | 0.164384 | 0.054795 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fb11bba5257814c53fdaf00b36feffb7caef7ad | 22,329 | py | Python | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | 3 | 2016-11-18T07:19:57.000Z | 2016-11-28T08:28:38.000Z | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | null | null | null | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | null | null | null | """
The vasprun.xml parser interface.
---------------------------------
Contains the parsing interfaces to ``parsevasp`` used to parse ``vasprun.xml`` content.
"""
# pylint: disable=abstract-method, too-many-public-methods
import numpy as np
from parsevasp.vasprun import Xml
from parsevasp import constants as parseva... | 31.898571 | 132 | 0.578261 | 2,355 | 22,329 | 5.343524 | 0.167728 | 0.02535 | 0.039177 | 0.039733 | 0.207088 | 0.179832 | 0.125238 | 0.101716 | 0.089558 | 0.089558 | 0 | 0.001314 | 0.318151 | 22,329 | 699 | 133 | 31.944206 | 0.825222 | 0.22894 | 0 | 0.278761 | 0 | 0 | 0.161119 | 0.022793 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068584 | false | 0 | 0.011062 | 0.002212 | 0.19469 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fb3ccf7fca90c61707cbd90f3475846779b54b9 | 341 | py | Python | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 30 | 2016-04-30T01:56:05.000Z | 2022-03-09T22:19:12.000Z | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 1 | 2021-05-19T19:36:45.000Z | 2021-05-19T19:36:45.000Z | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 17 | 2020-01-28T13:54:06.000Z | 2022-03-26T09:49:27.000Z | from collections import defaultdict
c=defaultdict(set)
f=lambda:[int(i) for i in input().split()]
a,b=f()
s,e=f()
for i in range(s,e+1):
x=i%a==0
y=i%b==0
if x and y:
c[3].add(i)
elif x and not y:
c[1].add(i)
elif y and not x:
c[2].add(i)
else:
c[4].add(i)
o=[]
for i in range(1,5):
o.append(str(len(c[i])... | 17.05 | 42 | 0.58651 | 84 | 341 | 2.380952 | 0.464286 | 0.08 | 0.09 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031915 | 0.173021 | 341 | 20 | 43 | 17.05 | 0.677305 | 0 | 0 | 0 | 0 | 0 | 0.002924 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fb5e0196946388daa9f3a5d9e0cb39eba4f8a0c | 520 | py | Python | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | 3 | 2019-08-22T01:20:16.000Z | 2021-02-05T09:11:50.000Z | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | null | null | null | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | 2 | 2019-08-22T01:20:18.000Z | 2021-05-27T14:40:12.000Z | """Module with useful exceptions for Parser."""
class BadOperationIdentifier(Exception):
"""Bad operation identifier used."""
class BadOperationArgument(Exception):
"""Bad argument provided to operation."""
class BadInPlaceValue(Exception):
"""Bad in-place value provided as argument."""
class Parsin... | 22.608696 | 52 | 0.696154 | 55 | 520 | 6.436364 | 0.563636 | 0.101695 | 0.073446 | 0.096045 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188462 | 520 | 22 | 53 | 23.636364 | 0.838863 | 0.315385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fb78ad70383d16f179dd4a23ab825be06e844e6 | 1,919 | py | Python | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 155 | 2015-11-01T17:48:41.000Z | 2022-02-06T21:37:41.000Z | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 193 | 2015-09-29T21:40:31.000Z | 2020-04-21T15:09:13.000Z | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 54 | 2015-09-30T15:51:05.000Z | 2022-02-13T05:26:20.000Z | import json
import next.utils as utils
from next.apps.AppDashboard import AppDashboard
class MyAppDashboard(AppDashboard):
def __init__(self,db,ell):
AppDashboard.__init__(self,db,ell)
def most_current_ranking(self,app, butler, alg_label):
"""
Description: Returns a ranking of arms in ... | 47.975 | 158 | 0.604482 | 246 | 1,919 | 4.605691 | 0.390244 | 0.035305 | 0.017652 | 0.022948 | 0.125331 | 0.0812 | 0.0812 | 0.0812 | 0.0812 | 0 | 0 | 0.002882 | 0.276707 | 1,919 | 39 | 159 | 49.205128 | 0.813401 | 0.45284 | 0 | 0 | 0 | 0 | 0.186441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fc3fd1b7cba71af7933022261d214435bda9000 | 2,786 | py | Python | results/baseline/parse_rollout.py | XiaoSanchez/autophase | 3d8d173ad27b9786e36efd22d0ceacbcf1cb1dfb | [
"BSD-3-Clause"
] | 14 | 2020-04-03T12:41:50.000Z | 2022-02-04T00:05:01.000Z | results/baseline/parse_rollout.py | XiaoSanchez/autophase | 3d8d173ad27b9786e36efd22d0ceacbcf1cb1dfb | [
"BSD-3-Clause"
] | 2 | 2020-03-02T04:32:58.000Z | 2021-09-15T20:02:25.000Z | results/baseline/parse_rollout.py | XiaoSanchez/autophase | 3d8d173ad27b9786e36efd22d0ceacbcf1cb1dfb | [
"BSD-3-Clause"
] | 8 | 2020-03-02T10:30:36.000Z | 2021-08-03T02:29:38.000Z | import pickle
import sys
import numpy as np
def geomean(iterable):
a = np.array(iterable).astype(float)
prod = a.prod()
prod = -prod if prod < 0 else prod
return prod**(1.0/len(a))
# Define the valid programs here
def is_valid_pgm(pgm):
pgms = ['471', '4926', '12092', '3449', '4567', '16510', '6118'... | 34.395062 | 401 | 0.623116 | 388 | 2,786 | 4.255155 | 0.332474 | 0.042399 | 0.036342 | 0.012114 | 0.155058 | 0.081163 | 0.032707 | 0 | 0 | 0 | 0 | 0.125963 | 0.207825 | 2,786 | 80 | 402 | 34.825 | 0.622111 | 0.059584 | 0 | 0.061538 | 0 | 0 | 0.168453 | 0.016462 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046154 | false | 0.015385 | 0.046154 | 0 | 0.138462 | 0.169231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fc5f8dbe2e450d186ac311e88fde09d3e71e36d | 767 | py | Python | src/transformer_utils/util/module_utils.py | cfoster0/transformer-utils | 4e4bc61adb331f90bb2a9a394db07e25eda87555 | [
"MIT"
] | 10 | 2021-07-11T07:32:35.000Z | 2022-02-16T16:46:19.000Z | src/transformer_utils/util/module_utils.py | cfoster0/transformer-utils | 4e4bc61adb331f90bb2a9a394db07e25eda87555 | [
"MIT"
] | null | null | null | src/transformer_utils/util/module_utils.py | cfoster0/transformer-utils | 4e4bc61adb331f90bb2a9a394db07e25eda87555 | [
"MIT"
] | 2 | 2021-05-24T22:50:28.000Z | 2021-09-14T16:14:10.000Z | from .python_utils import make_print_if_verbose
def get_child_module_by_names(module, names):
obj = module
for getter in map(lambda name: lambda obj: getattr(obj, name), names):
obj = getter(obj)
return obj
def get_leaf_modules(module, verbose=False):
vprint = make_print_if_verbose(verbose)
... | 23.96875 | 74 | 0.65189 | 103 | 767 | 4.592233 | 0.407767 | 0.088795 | 0.046512 | 0.07611 | 0.114165 | 0.114165 | 0 | 0 | 0 | 0 | 0 | 0.001724 | 0.243807 | 767 | 31 | 75 | 24.741935 | 0.813793 | 0 | 0 | 0 | 0 | 0 | 0.002608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.047619 | 0 | 0.238095 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fc75bc9dcba17efcc6fbd5b1c74a679be2c870d | 32,615 | py | Python | monetio/models/_rrfs_cmaq_mm.py | zmoon/monetio | c8326750fa5d2404ccec726a5088f9a0e7fd4c4a | [
"MIT"
] | 1 | 2022-02-18T22:49:23.000Z | 2022-02-18T22:49:23.000Z | monetio/models/_rrfs_cmaq_mm.py | zmoon/monetio | c8326750fa5d2404ccec726a5088f9a0e7fd4c4a | [
"MIT"
] | null | null | null | monetio/models/_rrfs_cmaq_mm.py | zmoon/monetio | c8326750fa5d2404ccec726a5088f9a0e7fd4c4a | [
"MIT"
] | 1 | 2022-02-04T19:09:32.000Z | 2022-02-04T19:09:32.000Z | """ RRFS-CMAQ File Reader """
import numpy as np
import xarray as xr
from numpy import concatenate
from pandas import Series
def can_do(index):
if index.max():
return True
else:
return False
def open_mfdataset(
fname,
convert_to_ppb=True,
mech="cb6r3_ae6_aq",
var_list=None,
... | 29.569356 | 112 | 0.508079 | 3,742 | 32,615 | 4.261358 | 0.14217 | 0.03029 | 0.034115 | 0.042142 | 0.538568 | 0.486266 | 0.452402 | 0.420544 | 0.390129 | 0.332372 | 0 | 0.034159 | 0.369891 | 32,615 | 1,102 | 113 | 29.596189 | 0.741764 | 0.252123 | 0 | 0.451237 | 0 | 0 | 0.164185 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032023 | false | 0 | 0.007278 | 0 | 0.07278 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fc818c5836435c92ae4ef2d17b3e1e01d7c0fde | 816 | bzl | Python | build/build.bzl | abaer123/gitlab-agent | 71c94d781ae2a7ae2851bb946c37fe01b1ed3da0 | [
"MIT"
] | null | null | null | build/build.bzl | abaer123/gitlab-agent | 71c94d781ae2a7ae2851bb946c37fe01b1ed3da0 | [
"MIT"
] | null | null | null | build/build.bzl | abaer123/gitlab-agent | 71c94d781ae2a7ae2851bb946c37fe01b1ed3da0 | [
"MIT"
] | null | null | null | load("@com_github_atlassian_bazel_tools//multirun:def.bzl", "command")
load("@bazel_skylib//lib:shell.bzl", "shell")
def copy_to_workspace(name, label, file_to_copy, workspace_relative_target_directory):
command(
name = name,
command = "//build:copy_to_workspace",
data = [label],
ar... | 37.090909 | 99 | 0.658088 | 95 | 816 | 5.389474 | 0.421053 | 0.070313 | 0.085938 | 0.117188 | 0.488281 | 0.443359 | 0.322266 | 0.322266 | 0.167969 | 0 | 0 | 0 | 0.207108 | 816 | 21 | 100 | 38.857143 | 0.791345 | 0.107843 | 0 | 0.444444 | 0 | 0 | 0.282369 | 0.172176 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fc9836cfddecb88f1956951f281f1c8d40b8f81 | 4,471 | py | Python | CAAPR/CAAPR_AstroMagic/PTS/pts/magic/catalog/catalog.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 7 | 2016-05-20T21:56:39.000Z | 2022-02-07T21:09:48.000Z | CAAPR/CAAPR_AstroMagic/PTS/pts/magic/catalog/catalog.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 1 | 2019-03-21T16:10:04.000Z | 2019-03-22T17:21:56.000Z | CAAPR/CAAPR_AstroMagic/PTS/pts/magic/catalog/catalog.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 1 | 2020-05-19T16:17:17.000Z | 2020-05-19T16:17:17.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
# *****************************************************************
# ** PTS -- Python Toolkit for working with SKIRT **
# ** © Astronomical Observatory, Ghent University **
# *****************************************************************
##... | 31.485915 | 97 | 0.547976 | 482 | 4,471 | 4.887967 | 0.219917 | 0.046689 | 0.033956 | 0.02292 | 0.702037 | 0.663837 | 0.663837 | 0.635823 | 0.603565 | 0.573005 | 0 | 0.001465 | 0.236636 | 4,471 | 141 | 98 | 31.70922 | 0.688544 | 0.426303 | 0 | 0.484848 | 0 | 0 | 0.042416 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0 | 0.121212 | 0 | 0.30303 | 0.030303 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fcda78cf21f154d5256341e1d4f6994551d5ce9 | 858 | py | Python | exercicio9.py | isaacfelipe1/Estrutura_De_Dados_Um_UEA | 79b693d186154b54b7bb0c2dac10cd4cf9886bb3 | [
"Apache-2.0"
] | null | null | null | exercicio9.py | isaacfelipe1/Estrutura_De_Dados_Um_UEA | 79b693d186154b54b7bb0c2dac10cd4cf9886bb3 | [
"Apache-2.0"
] | null | null | null | exercicio9.py | isaacfelipe1/Estrutura_De_Dados_Um_UEA | 79b693d186154b54b7bb0c2dac10cd4cf9886bb3 | [
"Apache-2.0"
] | null | null | null | #9-Faça um programa que leia um número indeterminado de notas. Após esta entrada de dados, faça seguinte:
#. Mostre a quantidade de notas que foram lidas.
#. Exiba todas as notas na ordem em que foram informadas.
#. Calcule e mostre a média das notas.
#. Calcule e mostre a quantidade de notas acima da média calculada.
... | 35.75 | 105 | 0.708625 | 141 | 858 | 4.283688 | 0.460993 | 0.046358 | 0.056291 | 0.062914 | 0.215232 | 0.135762 | 0.135762 | 0.135762 | 0.135762 | 0.135762 | 0 | 0.008345 | 0.162005 | 858 | 24 | 106 | 35.75 | 0.831711 | 0.361305 | 0 | 0.111111 | 0 | 0 | 0.354779 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.388889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fcf633d461876ef2ed0512751ad534119c618aa | 1,249 | py | Python | src/resnet_datasize_plot.py | chloechsu/nanoparticle | 5e78fe33c2d562aa31d5e458be0dbf52813f20b1 | [
"MIT"
] | 1 | 2021-04-04T23:07:59.000Z | 2021-04-04T23:07:59.000Z | src/resnet_datasize_plot.py | chloechsu/nanoparticle | 5e78fe33c2d562aa31d5e458be0dbf52813f20b1 | [
"MIT"
] | null | null | null | src/resnet_datasize_plot.py | chloechsu/nanoparticle | 5e78fe33c2d562aa31d5e458be0dbf52813f20b1 | [
"MIT"
] | 3 | 2021-01-13T14:50:42.000Z | 2022-03-20T16:19:52.000Z | import argparse
import csv
import glob
import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
sns.set()
shapes = ['TriangPrismIsosc', 'parallelepiped', 'sphere', 'wire']
def main():
trainsizes = []
avg_acc = []
for f in glob.glob('model/resnet18-all-Adam-l... | 29.046512 | 78 | 0.622898 | 178 | 1,249 | 4.247191 | 0.522472 | 0.042328 | 0.037037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043254 | 0.222578 | 1,249 | 42 | 79 | 29.738095 | 0.735324 | 0 | 0 | 0 | 0 | 0 | 0.171337 | 0.066453 | 0 | 0 | 0 | 0 | 0.027778 | 1 | 0.027778 | false | 0 | 0.222222 | 0 | 0.25 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fd0efe4c22b97942030348d8ad7858091215264 | 1,482 | py | Python | pyramid_bootstrap/__init__.py | keitheis/pyramid_bootstrap | e8d6e8b9081427bca264d16a679571c35d3527e5 | [
"BSD-3-Clause"
] | null | null | null | pyramid_bootstrap/__init__.py | keitheis/pyramid_bootstrap | e8d6e8b9081427bca264d16a679571c35d3527e5 | [
"BSD-3-Clause"
] | null | null | null | pyramid_bootstrap/__init__.py | keitheis/pyramid_bootstrap | e8d6e8b9081427bca264d16a679571c35d3527e5 | [
"BSD-3-Clause"
] | 1 | 2018-04-12T14:27:52.000Z | 2018-04-12T14:27:52.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Keith Yang'
__email__ = 'yang@keitheis.org'
__version__ = '0.1.0'
from pyramid.settings import asbool
from .bootstrap import BootstrapFactory
def includeme(config):
DEFAULT = {
'versions': '3.0.3',
'use_min_file': True,
'use_c... | 30.244898 | 79 | 0.625506 | 169 | 1,482 | 5.130178 | 0.372781 | 0.080738 | 0.076125 | 0.041522 | 0.062284 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009857 | 0.246964 | 1,482 | 48 | 80 | 30.875 | 0.767025 | 0.02834 | 0 | 0 | 0 | 0 | 0.228095 | 0.06815 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.057143 | 0.028571 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5fd224ae58a35451a109abe33921bfe534a36c4b | 3,043 | py | Python | Data Structures/Linked List/Merge Two Sorted Linked Lists/merge_two_sorted_linked_lists.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | 2 | 2020-05-28T07:15:00.000Z | 2020-07-21T08:34:06.000Z | Data Structures/Linked List/Merge Two Sorted Linked Lists/merge_two_sorted_linked_lists.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null | Data Structures/Linked List/Merge Two Sorted Linked Lists/merge_two_sorted_linked_lists.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
class SinglyLinkedListNode:
def __init__(self, node_data):
self.data = node_data
self.next = None
class SinglyLinkedList:
def __init__(self):
self.head = None
self.tail = None
def insert_node(self, no... | 21.58156 | 72 | 0.612882 | 393 | 3,043 | 4.508906 | 0.216285 | 0.073363 | 0.047404 | 0.056433 | 0.386005 | 0.354402 | 0.312077 | 0.301919 | 0.301919 | 0.301919 | 0 | 0.023889 | 0.312192 | 3,043 | 140 | 73 | 21.735714 | 0.822742 | 0.192573 | 0 | 0.231884 | 0 | 0 | 0.009453 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072464 | false | 0 | 0.072464 | 0 | 0.188406 | 0.028986 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3957f752a49e9fed33ab81dcc197e7f08498b9c3 | 4,856 | py | Python | wysihtml5/conf/defaults.py | vkuryachenko/django-wysihtml5 | 5f6fa86ecbfeccfae61b06386f1f6f44dfca94c0 | [
"BSD-2-Clause"
] | 4 | 2015-03-24T20:41:31.000Z | 2021-05-24T15:41:16.000Z | wysihtml5/conf/defaults.py | vkuryachenko/django-wysihtml5 | 5f6fa86ecbfeccfae61b06386f1f6f44dfca94c0 | [
"BSD-2-Clause"
] | 1 | 2017-08-06T18:17:53.000Z | 2017-08-06T18:17:53.000Z | wysihtml5/conf/defaults.py | vkuryachenko/django-wysihtml5 | 5f6fa86ecbfeccfae61b06386f1f6f44dfca94c0 | [
"BSD-2-Clause"
] | 3 | 2015-05-14T15:06:21.000Z | 2021-05-24T15:43:05.000Z | #-*- coding: utf-8 -*-
from django.conf import settings
WYSIHTML5_EDITOR = {
# Give the editor a name, the name will also be set as class
# name on the iframe and on the iframe's body
'name': 'null',
# Whether the editor should look like the textarea (by adopting styles)
'style': 'true',
# Id... | 36.787879 | 76 | 0.635914 | 523 | 4,856 | 5.764818 | 0.380497 | 0.090216 | 0.124046 | 0.104478 | 0.205638 | 0.067662 | 0.042454 | 0.042454 | 0.042454 | 0.042454 | 0 | 0.010953 | 0.247941 | 4,856 | 131 | 77 | 37.068702 | 0.814622 | 0.281301 | 0 | 0.171717 | 0 | 0 | 0.556326 | 0.22877 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.010101 | 0 | 0.010101 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
395a96908738ec18c9180da4437fee979a2a2992 | 6,496 | py | Python | protocols/migration/migration_participant_100_to_reports_300.py | Lucioric2000/GelReportModels | 1704cdea3242d5b46c8b81ef46553ccae2799435 | [
"Apache-2.0"
] | 14 | 2016-09-22T10:10:01.000Z | 2020-09-23T11:40:37.000Z | protocols/migration/migration_participant_100_to_reports_300.py | Lucioric2000/GelReportModels | 1704cdea3242d5b46c8b81ef46553ccae2799435 | [
"Apache-2.0"
] | 159 | 2016-09-22T11:08:46.000Z | 2021-09-29T13:55:52.000Z | protocols/migration/migration_participant_100_to_reports_300.py | Lucioric2000/GelReportModels | 1704cdea3242d5b46c8b81ef46553ccae2799435 | [
"Apache-2.0"
] | 17 | 2016-09-20T13:31:58.000Z | 2020-10-19T04:58:19.000Z | from protocols import reports_3_0_0 as participant_old
from protocols import participant_1_0_0
from protocols.migration import BaseMigration
class MigrationParticipants100ToReports(BaseMigration):
old_model = participant_1_0_0
new_model = participant_old
def migrate_pedigree(self, old_instance):
... | 56.982456 | 129 | 0.736761 | 768 | 6,496 | 5.924479 | 0.161458 | 0.072088 | 0.105495 | 0.074945 | 0.183956 | 0.104396 | 0.091648 | 0.069231 | 0.052088 | 0 | 0 | 0.003584 | 0.183805 | 6,496 | 113 | 130 | 57.486726 | 0.854583 | 0.024784 | 0 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091837 | false | 0 | 0.030612 | 0 | 0.244898 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
395f29ec9cf26aad90082c0bbf20534ee8f84d4b | 788 | py | Python | getting_setting.py | madhurgupta96/Image-Fundamentals-with-OpenCV | 890fcce30155e98ab66e206c3511d77040570ec5 | [
"Apache-2.0"
] | null | null | null | getting_setting.py | madhurgupta96/Image-Fundamentals-with-OpenCV | 890fcce30155e98ab66e206c3511d77040570ec5 | [
"Apache-2.0"
] | null | null | null | getting_setting.py | madhurgupta96/Image-Fundamentals-with-OpenCV | 890fcce30155e98ab66e206c3511d77040570ec5 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 15 23:52:04 2020
@author: Madhur Gupta
"""
from __future__ import print_function
import cv2
import argparse
ap=argparse.ArgumentParser()
ap.add_argument('-i','--image',required=True,help='path to image')
args=vars(ap.parse_args())
image=cv2.imread(args['... | 22.514286 | 71 | 0.619289 | 132 | 788 | 3.643939 | 0.439394 | 0.033264 | 0.043659 | 0.033264 | 0.266112 | 0.266112 | 0.18711 | 0.18711 | 0.18711 | 0.18711 | 0 | 0.088685 | 0.170051 | 788 | 34 | 72 | 23.176471 | 0.646789 | 0.178934 | 0 | 0.222222 | 0 | 0 | 0.232172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
395f821293e57d64e71d8ac788f63dcdb5e4e300 | 3,815 | py | Python | dictator/validators/base.py | brunosmmm/dictator | 60314734b9d0c378fad77d296c8946165f372400 | [
"MIT"
] | null | null | null | dictator/validators/base.py | brunosmmm/dictator | 60314734b9d0c378fad77d296c8946165f372400 | [
"MIT"
] | null | null | null | dictator/validators/base.py | brunosmmm/dictator | 60314734b9d0c378fad77d296c8946165f372400 | [
"MIT"
] | null | null | null | """Base validators."""
import re
from dictator.errors import ValidationError
from dictator.validators import Validator
from typing import Type, Callable, Any, Tuple, Union
HEX_REGEX = re.compile(r"^(0x)?([0-9A-Fa-f]+)$")
BIN_REGEX = re.compile(r"^(0b)?([0-1]+)$")
class ValidateType(Validator):
"""Type validator... | 27.644928 | 79 | 0.654522 | 419 | 3,815 | 5.732697 | 0.257757 | 0.11657 | 0.029975 | 0.041632 | 0.144463 | 0.131141 | 0.077435 | 0.041632 | 0.041632 | 0 | 0 | 0.004122 | 0.236959 | 3,815 | 137 | 80 | 27.846715 | 0.821024 | 0.158322 | 0 | 0.104478 | 0 | 0 | 0.066978 | 0.006998 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104478 | false | 0 | 0.059701 | 0 | 0.313433 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3960d947244ab5cacdb399b505a02597c36f0c4b | 554 | py | Python | copasi_test/ReportParserMoieties.py | copasi/python-copasi-testsuite | 604ce52f95b4a0e2631712b22c331cd8c263bd05 | [
"Artistic-2.0"
] | null | null | null | copasi_test/ReportParserMoieties.py | copasi/python-copasi-testsuite | 604ce52f95b4a0e2631712b22c331cd8c263bd05 | [
"Artistic-2.0"
] | null | null | null | copasi_test/ReportParserMoieties.py | copasi/python-copasi-testsuite | 604ce52f95b4a0e2631712b22c331cd8c263bd05 | [
"Artistic-2.0"
] | null | null | null | from .ReportParser import ReportParser
class ReportParserMoieties(ReportParser):
def __init__(self):
ReportParser.__init__(self)
def parseLines(self, lines):
# type: ([str]) -> None
current = self.skip_until(lines, 0, 'Link matrix(ann)')
if current == -1:
return
... | 29.157895 | 71 | 0.628159 | 55 | 554 | 6.145455 | 0.454545 | 0.130178 | 0.088757 | 0.118343 | 0.508876 | 0.360947 | 0.360947 | 0.360947 | 0.360947 | 0.360947 | 0 | 0.007353 | 0.263538 | 554 | 18 | 72 | 30.777778 | 0.821078 | 0.037906 | 0 | 0.461538 | 0 | 0 | 0.06403 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
396309f795615e199934ec29198bf8e06add077e | 1,087 | py | Python | relationship_classifiction/test.py | suolyer/PyTorch_BERT_Pipeline_IE | 869a1fc937e268a565f5b30a2105a460b4e07f59 | [
"MIT"
] | 8 | 2021-05-23T02:04:09.000Z | 2022-01-14T08:58:42.000Z | relationship_classifiction/test.py | 2019hong/PyTorch_BERT_Pipeline_IE | 9ee66bc9ceaed42e996e9b2414612de3fc0b23bb | [
"MIT"
] | 2 | 2021-05-14T00:34:45.000Z | 2021-08-08T08:36:33.000Z | relationship_classifiction/test.py | 2019hong/PyTorch_BERT_Pipeline_IE | 9ee66bc9ceaed42e996e9b2414612de3fc0b23bb | [
"MIT"
] | 1 | 2021-09-28T15:15:44.000Z | 2021-09-28T15:15:44.000Z |
import torch
import torch.nn as nn
from torch.optim.lr_scheduler import CosineAnnealingLR, CosineAnnealingWarmRestarts
import itertools
import matplotlib.pyplot as plt
initial_lr = 0.1
class model(nn.Module):
def __init__(self):
super().__init__()
self.conv1 = nn.Conv2d(in_channels=3, out_c... | 24.155556 | 83 | 0.689052 | 159 | 1,087 | 4.509434 | 0.484277 | 0.097629 | 0.033473 | 0.058577 | 0.066946 | 0.066946 | 0 | 0 | 0 | 0 | 0 | 0.043527 | 0.175713 | 1,087 | 44 | 84 | 24.704545 | 0.756696 | 0.032199 | 0 | 0 | 0 | 0 | 0.080229 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0.034483 | 0.172414 | 0 | 0.275862 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
39642b71284a9db7523df49c8dca22286f61d556 | 1,236 | py | Python | examples/linear_regression/01_linear_regression.py | zhaoshiying97/trading_gym | d4af8d724efa17420e6ebb430f6f9d4f08c6f83a | [
"Apache-2.0"
] | 32 | 2019-12-06T19:23:51.000Z | 2022-03-08T06:08:58.000Z | examples/linear_regression/01_linear_regression.py | zhaoshiying97/trading_gym | d4af8d724efa17420e6ebb430f6f9d4f08c6f83a | [
"Apache-2.0"
] | 2 | 2020-02-20T11:04:07.000Z | 2020-03-12T08:47:54.000Z | examples/linear_regression/01_linear_regression.py | zhaoshiying97/trading_gym | d4af8d724efa17420e6ebb430f6f9d4f08c6f83a | [
"Apache-2.0"
] | 15 | 2019-12-12T07:43:34.000Z | 2022-03-06T13:02:39.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import pdb
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from trading_gym.utils.data.toy import create_toy_data
from trading_gym.envs.portfolio_gym.portfolio_gym import PortfolioTradingGym
order_book_id_number = 100
toy_data = cr... | 30.9 | 142 | 0.741909 | 176 | 1,236 | 4.977273 | 0.534091 | 0.039954 | 0.065068 | 0.038813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02639 | 0.141586 | 1,236 | 39 | 143 | 31.692308 | 0.799246 | 0.048544 | 0 | 0 | 0 | 0 | 0.064157 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0.115385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3968419bade051f1706f219d6c57e614a8cbfb88 | 49,588 | py | Python | climateeconomics/tests/_l1_test_energy_global_values.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2022-01-14T06:37:42.000Z | 2022-01-14T06:37:42.000Z | climateeconomics/tests/_l1_test_energy_global_values.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | climateeconomics/tests/_l1_test_energy_global_values.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | '''
mode: python; py-indent-offset: 4; tab-width: 4; coding: utf-8
Copyright (C) 2020 Airbus SAS
'''
import unittest
import time
import numpy as np
import pandas as pd
from sos_trades_core.execution_engine.execution_engine import ExecutionEngine
from climateeconomics.sos_processes.iam.witness.witness_dev.usecase_witnes... | 47.680769 | 304 | 0.638239 | 6,106 | 49,588 | 4.892401 | 0.092532 | 0.045526 | 0.012051 | 0.01657 | 0.593479 | 0.486392 | 0.408965 | 0.356174 | 0.329361 | 0.309812 | 0 | 0.045714 | 0.260204 | 49,588 | 1,039 | 305 | 47.72666 | 0.768598 | 0.307635 | 0 | 0.123457 | 0 | 0.016461 | 0.343213 | 0.119708 | 0 | 0 | 0 | 0 | 0.018519 | 1 | 0.00823 | false | 0 | 0.012346 | 0 | 0.022634 | 0.154321 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
396aa7d766efce4140f100be9476c86629b27ef9 | 11,383 | py | Python | bmtk/simulator/bionet/modules/save_synapses.py | tjbanks/bmtk | 52fee3b230ceb14a666c46f57f2031c38f1ac5b1 | [
"BSD-3-Clause"
] | 1 | 2019-03-27T12:23:09.000Z | 2019-03-27T12:23:09.000Z | bmtk/simulator/bionet/modules/save_synapses.py | tjbanks/bmtk | 52fee3b230ceb14a666c46f57f2031c38f1ac5b1 | [
"BSD-3-Clause"
] | null | null | null | bmtk/simulator/bionet/modules/save_synapses.py | tjbanks/bmtk | 52fee3b230ceb14a666c46f57f2031c38f1ac5b1 | [
"BSD-3-Clause"
] | null | null | null | import os
import csv
import h5py
import numpy as np
from neuron import h
from .sim_module import SimulatorMod
from bmtk.simulator.bionet.biocell import BioCell
from bmtk.simulator.bionet.io_tools import io
from bmtk.simulator.bionet.pointprocesscell import PointProcessCell
pc = h.ParallelContext()
MPI_RANK = int(pc.... | 48.233051 | 139 | 0.598876 | 1,575 | 11,383 | 3.902857 | 0.125714 | 0.0558 | 0.073369 | 0.021474 | 0.51033 | 0.458923 | 0.37075 | 0.32585 | 0.317391 | 0.312836 | 0 | 0.010891 | 0.282087 | 11,383 | 235 | 140 | 48.438298 | 0.741312 | 0.050338 | 0 | 0.088398 | 0 | 0 | 0.071673 | 0.00463 | 0 | 0 | 0 | 0.004255 | 0 | 1 | 0.082873 | false | 0 | 0.049724 | 0.005525 | 0.160221 | 0.01105 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |