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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95887e566eb9b0860bede603c8c4d3bf2e059af1 | 5,634 | py | Python | main.py | TrueMLGPro/MultiDownloader | 8ef6cdccbe253fe79cf3cec9ed83fd40c3f834bc | [
"Apache-2.0"
] | 3 | 2021-02-05T09:33:39.000Z | 2021-07-25T18:39:43.000Z | main.py | TrueMLGPro/MultiDownloader | 8ef6cdccbe253fe79cf3cec9ed83fd40c3f834bc | [
"Apache-2.0"
] | null | null | null | main.py | TrueMLGPro/MultiDownloader | 8ef6cdccbe253fe79cf3cec9ed83fd40c3f834bc | [
"Apache-2.0"
] | 1 | 2022-02-28T21:41:12.000Z | 2022-02-28T21:41:12.000Z | # Copyright 2020 TrueMLGPro
# 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, soft... | 39.398601 | 149 | 0.671814 | 773 | 5,634 | 4.796895 | 0.244502 | 0.044498 | 0.028317 | 0.030744 | 0.385922 | 0.33603 | 0.276699 | 0.23247 | 0.209817 | 0.162082 | 0 | 0.004824 | 0.15371 | 5,634 | 143 | 150 | 39.398601 | 0.772861 | 0.097089 | 0 | 0.298246 | 0 | 0.008772 | 0.350995 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061404 | false | 0 | 0.04386 | 0 | 0.105263 | 0.122807 | 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 |
958a38d4edf87c352270fdf92a3b1727c3d068e0 | 1,129 | py | Python | forge/kubernetes.py | Acidburn0zzz/forge | c53d99f49abe61a2657a1a41232211bb48ee182d | [
"Apache-2.0"
] | 1 | 2017-11-15T15:04:44.000Z | 2017-11-15T15:04:44.000Z | forge/kubernetes.py | Acidburn0zzz/forge | c53d99f49abe61a2657a1a41232211bb48ee182d | [
"Apache-2.0"
] | 2 | 2021-03-20T05:32:38.000Z | 2021-03-26T00:39:11.000Z | forge/kubernetes.py | Acidburn0zzz/forge | c53d99f49abe61a2657a1a41232211bb48ee182d | [
"Apache-2.0"
] | null | null | null | import os, glob
from tasks import task, TaskError, get, sh, SHResult
def is_yaml_empty(dir):
for name in glob.glob("%s/*.yaml" % dir):
with open(name) as f:
if f.read().strip():
return False
return True
class Kubernetes(object):
def __init__(self, namespace=None, conte... | 29.710526 | 75 | 0.558902 | 143 | 1,129 | 4.265734 | 0.356643 | 0.080328 | 0.054098 | 0.042623 | 0.252459 | 0.252459 | 0.252459 | 0.121311 | 0.121311 | 0.121311 | 0 | 0.002528 | 0.29938 | 1,129 | 37 | 76 | 30.513514 | 0.768647 | 0 | 0 | 0.25 | 0 | 0 | 0.085031 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.0625 | 0 | 0.40625 | 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 |
958c59599470ad36c300e0c6dec5381bb27923b6 | 1,952 | py | Python | demucs/ema.py | sparshpriyadarshi/demucs | 7c7f65401db654d750df2b6f4d5b82a0101500b1 | [
"MIT"
] | 1 | 2022-02-14T05:52:53.000Z | 2022-02-14T05:52:53.000Z | demucs/ema.py | sparshpriyadarshi/demucs | 7c7f65401db654d750df2b6f4d5b82a0101500b1 | [
"MIT"
] | null | null | null | demucs/ema.py | sparshpriyadarshi/demucs | 7c7f65401db654d750df2b6f4d5b82a0101500b1 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# Inspired from https://github.com/rwightman/pytorch-image-models
from contextlib import contextmanager
import torch
from... | 29.134328 | 73 | 0.585553 | 255 | 1,952 | 4.419608 | 0.376471 | 0.071872 | 0.034605 | 0.031943 | 0.161491 | 0.161491 | 0.161491 | 0.161491 | 0.161491 | 0.161491 | 0 | 0.01034 | 0.306352 | 1,952 | 66 | 74 | 29.575758 | 0.822009 | 0.227971 | 0 | 0.195122 | 0 | 0 | 0.015646 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146341 | false | 0 | 0.073171 | 0.02439 | 0.268293 | 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 |
958e7f740b7a101b6adbafb3854a0ff8c7e6558c | 12,328 | py | Python | gws.py | intelligence-csd-auth-gr/greek-words-evolution | ab1ee717f7567ffa8171e64f835932af7502955d | [
"MIT"
] | 9 | 2020-07-12T13:45:24.000Z | 2021-12-05T16:08:58.000Z | word_embeddings/we.py | emiltj/NLP_exam_2021 | 9342e8dc9ad684927bbfa5eb6c125dd53c14cccb | [
"MIT"
] | 2 | 2021-03-30T14:35:26.000Z | 2022-03-12T00:40:17.000Z | word_embeddings/we.py | emiltj/NLP_exam_2021 | 9342e8dc9ad684927bbfa5eb6c125dd53c14cccb | [
"MIT"
] | 2 | 2021-04-23T13:07:55.000Z | 2021-12-16T14:06:51.000Z | import warnings
import argparse
import os
import logging
import lib.metadata as metadata
import lib.model as model
import lib.text as text
import lib.website as website
warnings.filterwarnings('ignore')
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
####################################... | 56.036364 | 120 | 0.455224 | 936 | 12,328 | 5.83547 | 0.17735 | 0.023068 | 0.02197 | 0.039546 | 0.431527 | 0.398572 | 0.33138 | 0.283962 | 0.242402 | 0.204321 | 0 | 0.003117 | 0.141304 | 12,328 | 219 | 121 | 56.292237 | 0.512847 | 0.111291 | 0 | 0.089552 | 0 | 0 | 0.270628 | 0.003038 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.059701 | 0 | 0.089552 | 0.067164 | 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 |
958ef26cd63d83883ded41820724c2716c93e70b | 2,716 | py | Python | ssepaperless/Organizer/views.py | michaelkressaty/ssepaperless | d536f9106fd499e664d3c03fb6331b4feb1cc4ca | [
"BSD-3-Clause"
] | null | null | null | ssepaperless/Organizer/views.py | michaelkressaty/ssepaperless | d536f9106fd499e664d3c03fb6331b4feb1cc4ca | [
"BSD-3-Clause"
] | null | null | null | ssepaperless/Organizer/views.py | michaelkressaty/ssepaperless | d536f9106fd499e664d3c03fb6331b4feb1cc4ca | [
"BSD-3-Clause"
] | null | null | null | from django.shortcuts import get_object_or_404, render
from django.http import HttpResponse
from django.template import RequestContext, loader
from Organizer.models import Department
from Organizer.models import Advisor
from Organizer.models import Student
from Organizer.models import Course
from Organizer.models impor... | 48.5 | 111 | 0.796024 | 340 | 2,716 | 6.091176 | 0.132353 | 0.056494 | 0.069049 | 0.08788 | 0.534524 | 0.377595 | 0.279575 | 0.279575 | 0.279575 | 0.279575 | 0 | 0.016991 | 0.111561 | 2,716 | 55 | 112 | 49.381818 | 0.841276 | 0.008468 | 0 | 0.2 | 0 | 0 | 0.120401 | 0.070977 | 0 | 0 | 0 | 0 | 0 | 1 | 0.177778 | false | 0 | 0.266667 | 0 | 0.622222 | 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 |
95908c4c021ce144e1c7f298836a5c4a2cc424d8 | 462 | py | Python | project/3/cal.py | Aries-Dawn/Cpp-Program-Design | 9d4fc9a902fff2f76e41314f5d6c52871d30a511 | [
"MIT"
] | null | null | null | project/3/cal.py | Aries-Dawn/Cpp-Program-Design | 9d4fc9a902fff2f76e41314f5d6c52871d30a511 | [
"MIT"
] | null | null | null | project/3/cal.py | Aries-Dawn/Cpp-Program-Design | 9d4fc9a902fff2f76e41314f5d6c52871d30a511 | [
"MIT"
] | null | null | null | import numpy as np
matrixA = np.loadtxt('./mat-A-32.txt')
matrixB = np.loadtxt('./mat-B-32.txt')
checking = np.loadtxt('./out32.txt')
result = np.dot(matrixA, matrixB)
diff = result - checking
print(checking)
print(result)
print(diff)
np.absolute(diff)
print(np.max(diff))
[rows, cols] = diff.shape
with open ('./out20... | 23.1 | 42 | 0.623377 | 75 | 462 | 3.84 | 0.48 | 0.09375 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028947 | 0.177489 | 462 | 19 | 43 | 24.315789 | 0.728947 | 0 | 0 | 0 | 0 | 0 | 0.140693 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 0.235294 | 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 |
9594993f4525fce4f5b648804a7994f70f4ed262 | 4,773 | py | Python | ci/check-documentation.py | FredrikBlomgren/aff3ct | fa616bd923b2dcf03a4cf119cceca51cf810d483 | [
"MIT"
] | 315 | 2016-06-21T13:32:14.000Z | 2022-03-28T09:33:59.000Z | ci/check-documentation.py | a-panella/aff3ct | 61509eb756ae3725b8a67c2d26a5af5ba95186fb | [
"MIT"
] | 153 | 2017-01-17T03:51:06.000Z | 2022-03-24T15:39:26.000Z | ci/check-documentation.py | a-panella/aff3ct | 61509eb756ae3725b8a67c2d26a5af5ba95186fb | [
"MIT"
] | 119 | 2017-01-04T14:31:58.000Z | 2022-03-21T08:34:16.000Z | #!/usr/bin/env python3
import argparse
import sys
import re
import subprocess
import os
import glob
import copy
import aff3ct_help_parser as ahp
# read all the lines from the given file and set them in a list of string lines with striped \n \r
def readFileInTable(filename):
aFile = open(filename, "r")
lines = []
... | 27.431034 | 128 | 0.707521 | 750 | 4,773 | 4.286667 | 0.24 | 0.054432 | 0.025194 | 0.02986 | 0.216174 | 0.133126 | 0.115086 | 0.099533 | 0.049145 | 0.027994 | 0 | 0.013951 | 0.159019 | 4,773 | 174 | 129 | 27.431034 | 0.786996 | 0.070605 | 0 | 0.134921 | 0 | 0 | 0.159024 | 0.030946 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0.007937 | 0.063492 | 0 | 0.174603 | 0.079365 | 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 |
9595a509a88acc24d2199e14d5a84b03b3fb5415 | 677 | py | Python | todoster/list_projects.py | SophieAu/todoster | 6f69f7b254683d63f60f934eafa8971e78df7eb2 | [
"MIT"
] | 5 | 2020-08-05T21:02:35.000Z | 2021-11-11T14:31:35.000Z | todoster/list_projects.py | SophieAu/todoster | 6f69f7b254683d63f60f934eafa8971e78df7eb2 | [
"MIT"
] | 1 | 2020-09-24T04:41:20.000Z | 2020-09-28T04:37:50.000Z | todoster/list_projects.py | SophieAu/todoster | 6f69f7b254683d63f60f934eafa8971e78df7eb2 | [
"MIT"
] | 1 | 2021-08-09T19:23:24.000Z | 2021-08-09T19:23:24.000Z | from todoster.file_operations import load_projects
from todoster.output_formatter import format_string
def list_projects(arguments):
projects = load_projects()
if not arguments.show_all_projects:
projects = list(filter(lambda x: x["active"], projects))
print()
project_counter = 1
for proj... | 33.85 | 85 | 0.669129 | 78 | 677 | 5.628205 | 0.461538 | 0.109339 | 0.068337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005566 | 0.20384 | 677 | 19 | 86 | 35.631579 | 0.808905 | 0 | 0 | 0.133333 | 0 | 0 | 0.053176 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.2 | 0.2 | 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 |
95988a5a0c747ad5cc792f45a029f70fc328bc8e | 621 | py | Python | src/game_test.py | TomNo/tictactoe-mcts | 5d5db97f54fe5a3bf7c9afaaa4d74984fdb30ec4 | [
"MIT"
] | null | null | null | src/game_test.py | TomNo/tictactoe-mcts | 5d5db97f54fe5a3bf7c9afaaa4d74984fdb30ec4 | [
"MIT"
] | null | null | null | src/game_test.py | TomNo/tictactoe-mcts | 5d5db97f54fe5a3bf7c9afaaa4d74984fdb30ec4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
__author__ = 'Tomas Novacik'
import unittest2
from game import Game
from board import Board, PlayerType, Move
class GameTest(unittest2.TestCase):
def test_winning_move(self):
game = Game()
game.start()
# set winning status to board
board = Board()
... | 18.264706 | 75 | 0.613527 | 79 | 621 | 4.670886 | 0.481013 | 0.086721 | 0.081301 | 0.086721 | 0.113821 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013483 | 0.283414 | 621 | 33 | 76 | 18.818182 | 0.81573 | 0.083736 | 0 | 0.222222 | 0 | 0 | 0.022968 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.111111 | false | 0 | 0.166667 | 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 |
95993548b5a77661a71dcd96b3ee1f6f35d686ce | 1,911 | py | Python | skills_taxonomy_v2/pipeline/skills_extraction/get_sentence_embeddings_utils.py | india-kerle/skills-taxonomy-v2 | a71366dfea3c35580dbafddba9470f83795805ae | [
"MIT"
] | 3 | 2021-11-21T17:21:12.000Z | 2021-12-10T21:19:57.000Z | skills_taxonomy_v2/pipeline/skills_extraction/get_sentence_embeddings_utils.py | india-kerle/skills-taxonomy-v2 | a71366dfea3c35580dbafddba9470f83795805ae | [
"MIT"
] | 16 | 2021-10-06T11:20:35.000Z | 2022-02-02T11:44:28.000Z | skills_taxonomy_v2/pipeline/skills_extraction/get_sentence_embeddings_utils.py | india-kerle/skills-taxonomy-v2 | a71366dfea3c35580dbafddba9470f83795805ae | [
"MIT"
] | 1 | 2021-10-04T12:27:20.000Z | 2021-10-04T12:27:20.000Z | """
Functions to mask sentences of undesirable words (stopwords, punctuation etc).
Used in get_sentence_embeddings.py to process sentences before finding embeddings.
"""
import re
from skills_taxonomy_v2.pipeline.skills_extraction.cleaning_sentences import (
separate_camel_case,
)
def is_token_word(token, token_... | 29.4 | 85 | 0.553114 | 206 | 1,911 | 4.956311 | 0.470874 | 0.073457 | 0.117532 | 0.064643 | 0.212537 | 0.151812 | 0.111655 | 0.111655 | 0.111655 | 0.111655 | 0 | 0.000814 | 0.357405 | 1,911 | 64 | 86 | 29.859375 | 0.830619 | 0.26269 | 0 | 0 | 0 | 0 | 0.04384 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.04878 | 0 | 0.146341 | 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 |
959a854d76fcee93383a4561465ab39d08da02e1 | 1,000 | py | Python | migrations/versions/033809bcaf32_destinations.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 11 | 2017-08-23T17:41:43.000Z | 2018-10-24T03:00:38.000Z | migrations/versions/033809bcaf32_destinations.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 480 | 2017-07-14T00:29:11.000Z | 2020-01-06T19:04:51.000Z | migrations/versions/033809bcaf32_destinations.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 22 | 2017-07-07T00:07:32.000Z | 2020-02-27T19:43:14.000Z | """destinations
Revision ID: 033809bcaf32
Revises: 4a77b8fb792a
Create Date: 2017-08-24 05:56:45.166590
"""
from alembic import op
import sqlalchemy as sa
import geoalchemy2
# revision identifiers, used by Alembic.
revision = '033809bcaf32'
down_revision = '4a77b8fb792a'
branch_labels = None
depends_on = None
def... | 27.027027 | 89 | 0.698 | 122 | 1,000 | 5.663934 | 0.516393 | 0.057887 | 0.081042 | 0.086831 | 0.127352 | 0.127352 | 0.127352 | 0.127352 | 0 | 0 | 0 | 0.067536 | 0.156 | 1,000 | 36 | 90 | 27.777778 | 0.751185 | 0.294 | 0 | 0 | 0 | 0 | 0.124066 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0 | 0.277778 | 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 |
959ac1baff7cea9daabf593760b72f74cd08cb19 | 778 | py | Python | porcupine/plugins/gotoline.py | rscales02/porcupine | 91b3c90d19d2291c0a60ddb9dffac931147cde3c | [
"MIT"
] | null | null | null | porcupine/plugins/gotoline.py | rscales02/porcupine | 91b3c90d19d2291c0a60ddb9dffac931147cde3c | [
"MIT"
] | null | null | null | porcupine/plugins/gotoline.py | rscales02/porcupine | 91b3c90d19d2291c0a60ddb9dffac931147cde3c | [
"MIT"
] | null | null | null | from tkinter import simpledialog
from porcupine import actions, get_tab_manager, tabs
def gotoline():
tab = get_tab_manager().select()
# simpledialog isn't ttk yet, but it's not a huge problem imo
lineno = simpledialog.askinteger(
"Go to Line", "Type a line number and press Enter:")
if linen... | 31.12 | 79 | 0.638817 | 107 | 778 | 4.579439 | 0.672897 | 0.079592 | 0.053061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001695 | 0.241645 | 778 | 24 | 80 | 32.416667 | 0.828814 | 0.200514 | 0 | 0 | 0 | 0 | 0.153971 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.285714 | 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 |
959aea6673bc315fd2a49870629b49b87e1b393a | 4,634 | py | Python | preprocessing.py | JackAndCole/Detection-of-sleep-apnea-from-single-lead-ECG-signal-using-a-time-window-artificial-neural-network | 692bb7d969b7eb4a0ad9b221660901a863bc76e2 | [
"Apache-2.0"
] | 7 | 2020-01-22T03:23:39.000Z | 2021-12-26T05:02:10.000Z | preprocessing.py | JackAndCole/Detection-of-sleep-apnea-from-single-lead-ECG-signal-using-a-time-window-artificial-neural-network | 692bb7d969b7eb4a0ad9b221660901a863bc76e2 | [
"Apache-2.0"
] | null | null | null | preprocessing.py | JackAndCole/Detection-of-sleep-apnea-from-single-lead-ECG-signal-using-a-time-window-artificial-neural-network | 692bb7d969b7eb4a0ad9b221660901a863bc76e2 | [
"Apache-2.0"
] | 1 | 2020-05-29T06:32:24.000Z | 2020-05-29T06:32:24.000Z | import os
import pickle
import sys
import warnings
from collections import OrderedDict
import biosppy.signals.tools as st
import numpy as np
import wfdb
from biosppy.signals.ecg import correct_rpeaks, hamilton_segmenter
from hrv.classical import frequency_domain, time_domain
from scipy.signal import medfilt... | 44.990291 | 120 | 0.579197 | 565 | 4,634 | 4.555752 | 0.39646 | 0.13209 | 0.0777 | 0.062937 | 0.293318 | 0.265346 | 0.255245 | 0.255245 | 0.151515 | 0.070707 | 0 | 0.05938 | 0.26953 | 4,634 | 102 | 121 | 45.431373 | 0.701034 | 0.035175 | 0 | 0.144578 | 0 | 0 | 0.096101 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012048 | false | 0.012048 | 0.144578 | 0 | 0.168675 | 0.024096 | 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 |
959b3935838082e9b39f90f0dbe7ce84722264d7 | 3,904 | py | Python | tiddlywebplugins/tiddlyspace/openid.py | FND/tiddlyspace | 7b26e5b4e0b0a817b3ea0a357613c59705d016d4 | [
"BSD-3-Clause"
] | 2 | 2015-12-15T00:40:36.000Z | 2019-04-22T16:54:41.000Z | tiddlywebplugins/tiddlyspace/openid.py | jdlrobson/tiddlyspace | 70f500687fcd26e3fa4ef144297a05203ccf0f35 | [
"BSD-3-Clause"
] | null | null | null | tiddlywebplugins/tiddlyspace/openid.py | jdlrobson/tiddlyspace | 70f500687fcd26e3fa4ef144297a05203ccf0f35 | [
"BSD-3-Clause"
] | null | null | null | """
Subclass of tiddlywebplugins.openid2 to support
tiddlyweb_secondary_user cookie.
"""
import urlparse
from tiddlyweb.web.util import server_host_url, make_cookie
from tiddlywebplugins.openid2 import Challenger as OpenID
FRAGMENT_PREFIX = 'auth:OpenID:'
class Challenger(OpenID):
def __init__(self):
... | 36.148148 | 72 | 0.615523 | 421 | 3,904 | 5.517815 | 0.344418 | 0.051657 | 0.037882 | 0.024107 | 0.146362 | 0.104176 | 0.104176 | 0.104176 | 0.061128 | 0.061128 | 0 | 0.005891 | 0.260758 | 3,904 | 107 | 73 | 36.485981 | 0.79903 | 0.109631 | 0 | 0.076923 | 0 | 0 | 0.313069 | 0.069897 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.038462 | 0.012821 | 0.141026 | 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 |
959bcca51833c2423f463ff10fb943bd7f71b93f | 9,047 | py | Python | pyacoustics/morph/intensity_morph.py | UNIST-Interactions/pyAcoustics | f22d19d258b4e359fec365b30f11af261dee1b5c | [
"MIT"
] | 72 | 2015-12-10T20:00:04.000Z | 2022-03-31T05:42:17.000Z | pyacoustics/morph/intensity_morph.py | alivalehi/pyAcoustics | ab446681d7a2267063afb6a386334dcaefd0d93b | [
"MIT"
] | 5 | 2017-08-08T05:13:15.000Z | 2020-11-26T00:58:04.000Z | pyacoustics/morph/intensity_morph.py | alivalehi/pyAcoustics | ab446681d7a2267063afb6a386334dcaefd0d93b | [
"MIT"
] | 16 | 2016-05-09T07:36:15.000Z | 2021-08-30T14:23:25.000Z | '''
Created on Apr 2, 2015
@author: tmahrt
'''
import os
from os.path import join
import math
import copy
from pyacoustics.morph.morph_utils import common
from pyacoustics.morph.morph_utils import plot_morphed_data
from pyacoustics.utilities import utils
from pyacoustics.utilities import sequences
from pyacoustics.... | 36.776423 | 79 | 0.606831 | 812 | 9,047 | 6.729064 | 0.330049 | 0.016471 | 0.008785 | 0.014641 | 0.123719 | 0.100659 | 0.087482 | 0.036969 | 0.036969 | 0 | 0 | 0.010543 | 0.318559 | 9,047 | 245 | 80 | 36.926531 | 0.87575 | 0.167127 | 0 | 0.09589 | 0 | 0 | 0.008734 | 0 | 0 | 0 | 0 | 0 | 0.020548 | 1 | 0.034247 | false | 0 | 0.068493 | 0 | 0.123288 | 0.006849 | 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 |
95a2f6f31ddcda8bf982507b3035c6d82bfe1d80 | 723 | py | Python | selfdrive/visiond/tensorflow_autodetect.py | jeroenbbb/openpilot | 4a2ff784f85ac87a4aa9ba8a345c2403102f960a | [
"MIT"
] | 4 | 2019-05-29T19:44:56.000Z | 2021-09-10T18:36:57.000Z | selfdrive/visiond/tensorflow_autodetect.py | jeroenbbb/openpilot | 4a2ff784f85ac87a4aa9ba8a345c2403102f960a | [
"MIT"
] | null | null | null | selfdrive/visiond/tensorflow_autodetect.py | jeroenbbb/openpilot | 4a2ff784f85ac87a4aa9ba8a345c2403102f960a | [
"MIT"
] | 5 | 2019-08-09T07:49:28.000Z | 2020-10-11T03:19:04.000Z | import os
from setuptools import setup
version = os.getenv('VERSION', '1.10.1')
setup(
name='tensorflow-autodetect',
version=version,
url='https://github.com/commaai/tensorflow-autodetect',
author='comma.ai',
author_email='',
license='MIT',
long_description='Auto-detect tensorflow or tenso... | 30.125 | 111 | 0.656985 | 79 | 723 | 5.974684 | 0.658228 | 0.082627 | 0.105932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010327 | 0.196404 | 723 | 23 | 112 | 31.434783 | 0.802065 | 0 | 0 | 0.095238 | 0 | 0 | 0.49101 | 0.06639 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.095238 | 0 | 0.095238 | 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 |
95a49255a761f17a3cc35cbf97bc73b1442eaf32 | 7,563 | py | Python | plex_import_watched_history.py | chazlarson/plex-watched-tools | ef3e34e733ec9555353d695ced582395bdc73480 | [
"MIT"
] | null | null | null | plex_import_watched_history.py | chazlarson/plex-watched-tools | ef3e34e733ec9555353d695ced582395bdc73480 | [
"MIT"
] | null | null | null | plex_import_watched_history.py | chazlarson/plex-watched-tools | ef3e34e733ec9555353d695ced582395bdc73480 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# python3 -m pip install --force -U --user PlexAPI
import json
import time
import logging
import plexapi
import plexapi.video
import plexapi.myplex
import plexapi.server
import plexapi.library
import plexapi.exceptions
PLEX_URL = ""
PLEX_TOKEN = ""
WATCHED_HISTORY =... | 36.713592 | 114 | 0.672352 | 927 | 7,563 | 5.160734 | 0.18986 | 0.059783 | 0.033445 | 0.025084 | 0.449415 | 0.323161 | 0.210284 | 0.178721 | 0.135242 | 0.121446 | 0 | 0.005783 | 0.222663 | 7,563 | 205 | 115 | 36.892683 | 0.807961 | 0.0238 | 0 | 0.123288 | 0 | 0.006849 | 0.153294 | 0.039848 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054795 | false | 0 | 0.089041 | 0.006849 | 0.157534 | 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 |
95aa9b2ab7c302c981b157247e84659b7c3d8105 | 709 | py | Python | test/test_integration.py | gaborfodor/wave-bird-recognition | 6feafdbae82746e3e7b0f6588a9158aa8336309a | [
"MIT"
] | 17 | 2021-06-02T12:26:30.000Z | 2022-03-27T18:35:02.000Z | test/test_integration.py | gaborfodor/wave-bird-recognition | 6feafdbae82746e3e7b0f6588a9158aa8336309a | [
"MIT"
] | null | null | null | test/test_integration.py | gaborfodor/wave-bird-recognition | 6feafdbae82746e3e7b0f6588a9158aa8336309a | [
"MIT"
] | 3 | 2021-06-02T12:26:51.000Z | 2021-06-06T05:56:45.000Z | from birds.display_utils import geo_plot
from birds.pann import load_pretrained_model, read_audio_fast, get_model_predictions_for_clip, BIRDS
def test_prediction_works():
test_bird = 'comrav'
model = load_pretrained_model()
y = read_audio_fast(f'./data/audio/{test_bird}.mp3')
predictions = get_mode... | 27.269231 | 100 | 0.71086 | 105 | 709 | 4.466667 | 0.495238 | 0.10661 | 0.081023 | 0.093817 | 0.110874 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010135 | 0.165021 | 709 | 25 | 101 | 28.36 | 0.782095 | 0 | 0 | 0 | 0 | 0 | 0.09591 | 0.039492 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.125 | false | 0 | 0.125 | 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 |
95ae2e3a04b5bb9553c2d275221aaaba3d17f40e | 1,236 | py | Python | 0205.Isomorphic Strings/solution.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | 0205.Isomorphic Strings/solution.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | 0205.Isomorphic Strings/solution.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
*****************************************
Author: zhlinh
Email: zhlinhng@gmail.com
Version: 0.0.1
Created Time: 2016-03-24
Last_modify: 2016-03-24
******************************************
'''
'''
Given two strings s and t, determine if th... | 24.235294 | 75 | 0.536408 | 175 | 1,236 | 3.782857 | 0.531429 | 0.045317 | 0.024169 | 0.021148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040678 | 0.283981 | 1,236 | 50 | 76 | 24.72 | 0.707345 | 0.242718 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 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 |
95b233e62bad224b765ef9f8b1c2e67cce2b24ad | 1,659 | py | Python | YOLOv2.py | scain40/OpenCVCVImageComparisson | 368d901233111606fb2f0ecbce4447dd9c149fd0 | [
"MIT"
] | null | null | null | YOLOv2.py | scain40/OpenCVCVImageComparisson | 368d901233111606fb2f0ecbce4447dd9c149fd0 | [
"MIT"
] | null | null | null | YOLOv2.py | scain40/OpenCVCVImageComparisson | 368d901233111606fb2f0ecbce4447dd9c149fd0 | [
"MIT"
] | null | null | null | import numpy as np
import cv2 as cv
import os
import sys
class ObjectDetector:
"""
Object Detector is the class model for using YOLOv2 and gathering results
"""
def __init__(self):
self.network_loading()
def network_loading(self):
# Loading in the trained darknet models labels
self.LABELS =... | 36.866667 | 112 | 0.722122 | 219 | 1,659 | 5.420091 | 0.515982 | 0.075821 | 0.023589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014771 | 0.183846 | 1,659 | 44 | 113 | 37.704545 | 0.861891 | 0.261001 | 0 | 0 | 0 | 0 | 0.033448 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.392857 | 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 |
95b40e4094e935db9b4e39bc3de9c67b55114bbe | 484 | py | Python | app/run.py | dudikbender/geocoder | af8c0839d3d73c7825a0488763d053b5e6bc8257 | [
"Unlicense"
] | null | null | null | app/run.py | dudikbender/geocoder | af8c0839d3d73c7825a0488763d053b5e6bc8257 | [
"Unlicense"
] | null | null | null | app/run.py | dudikbender/geocoder | af8c0839d3d73c7825a0488763d053b5e6bc8257 | [
"Unlicense"
] | null | null | null | from utils.db import connection, print_version
import pandas as pd
def add_table(csv_file, table_name, engine):
df = pd.read_csv(csv_file)
df = df.drop('Unnamed: 0')
df.to_sql(name=table_name, con=engine, index=False, if_exists='replace')
table = 'data/tables/postcode_coordinates.csv'
add_table(table, 'P... | 25.473684 | 76 | 0.727273 | 70 | 484 | 4.842857 | 0.571429 | 0.168142 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004831 | 0.144628 | 484 | 19 | 77 | 25.473684 | 0.81401 | 0 | 0 | 0 | 0 | 0 | 0.245361 | 0.074227 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.230769 | 0.153846 | 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 |
95b771302ac3436f68366f36390ccc4ddba021fd | 2,206 | py | Python | validator_rewards/validator_rewards.py | harmony-one/monitor-ops | 0a379655ff26bff5821cd7cb6f619a15a308441b | [
"MIT"
] | 1 | 2020-04-11T16:46:56.000Z | 2020-04-11T16:46:56.000Z | validator_rewards/validator_rewards.py | harmony-one/monitor-ops | 0a379655ff26bff5821cd7cb6f619a15a308441b | [
"MIT"
] | 3 | 2020-04-13T10:42:59.000Z | 2020-07-10T06:26:23.000Z | validator_rewards/validator_rewards.py | harmony-one/monitor-ops | 0a379655ff26bff5821cd7cb6f619a15a308441b | [
"MIT"
] | 2 | 2020-04-22T10:36:25.000Z | 2020-05-20T15:58:02.000Z | import argparse
import json
from pyhmy import (
get_all_validator_addresses,
get_validator_information
)
def get_block_by_num(block_num, endpoint):
params = [
str(hex(block_num)),
False,
]
payload = {
"id": "1",
"jsonrpc": "2.0",
"method": "hmy_getBlockByNum... | 31.514286 | 96 | 0.609248 | 268 | 2,206 | 4.787313 | 0.41791 | 0.046765 | 0.053001 | 0.020265 | 0.14809 | 0.082619 | 0.049883 | 0.049883 | 0.049883 | 0.049883 | 0 | 0.006623 | 0.247053 | 2,206 | 69 | 97 | 31.971014 | 0.765804 | 0.014506 | 0 | 0.135593 | 0 | 0 | 0.186464 | 0.02302 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050847 | false | 0.016949 | 0.050847 | 0.016949 | 0.152542 | 0.152542 | 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 |
95bbb3583a2750d5735e9244fe93a6a446fb803f | 8,314 | py | Python | dataset/data_load.py | clovaai/symmetrical-synthesis | 207953b1ae3d2e0a96fb676db3669bdc88cc18e8 | [
"MIT"
] | 76 | 2020-02-08T03:15:54.000Z | 2022-03-04T16:14:52.000Z | dataset/data_load.py | clovaai/symmetrical-synthesis | 207953b1ae3d2e0a96fb676db3669bdc88cc18e8 | [
"MIT"
] | 5 | 2020-02-07T14:00:58.000Z | 2021-05-31T01:37:55.000Z | dataset/data_load.py | clovaai/symmetrical-synthesis | 207953b1ae3d2e0a96fb676db3669bdc88cc18e8 | [
"MIT"
] | 13 | 2020-02-10T02:56:51.000Z | 2021-05-28T06:56:30.000Z | '''
symmetrical-synthesis
Copyright (c) 2020-present NAVER Corp.
MIT license
'''
import os
import time
import glob
import cv2
import random
import numpy as np
import tensorflow as tf
import random
try:
import data_util
except ImportError:
from dataset import data_util
tf.app.flags.DEFINE_boolean('random_resize... | 35.228814 | 170 | 0.615227 | 1,139 | 8,314 | 4.183494 | 0.195786 | 0.039664 | 0.016789 | 0.023505 | 0.227912 | 0.149633 | 0.104512 | 0.090241 | 0.035257 | 0.035257 | 0 | 0.020354 | 0.273154 | 8,314 | 235 | 171 | 35.378723 | 0.768162 | 0.100674 | 0 | 0.134228 | 0 | 0 | 0.047886 | 0.006365 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040268 | false | 0 | 0.073826 | 0.006711 | 0.134228 | 0.026846 | 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 |
95bc1cbdca2faf1169e04427ea20b03a36f4f201 | 1,678 | py | Python | python_parikshith21/Day39.py | 01coders/50-Days-Of-Code | 98928cf0e186ee295bc90a4da0aa9554e2918659 | [
"MIT"
] | null | null | null | python_parikshith21/Day39.py | 01coders/50-Days-Of-Code | 98928cf0e186ee295bc90a4da0aa9554e2918659 | [
"MIT"
] | null | null | null | python_parikshith21/Day39.py | 01coders/50-Days-Of-Code | 98928cf0e186ee295bc90a4da0aa9554e2918659 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Jun 17 20:55:53 2019
@author: Parikshith.H
"""
import sqlite3
conn=sqlite3.connect('music.sqlite')
cur=conn.cursor()
cur.execute('DROP TABLE IF EXISTS Tracks')
cur.execute('CREATE TABLE Tracks(title TEXT,plays INTEGER)')
cur.execute('''INSERT INTO Tracks(title,plays) VALUES... | 28.440678 | 80 | 0.544696 | 187 | 1,678 | 4.887701 | 0.320856 | 0.142232 | 0.105033 | 0.131291 | 0.619256 | 0.619256 | 0.584245 | 0.584245 | 0.296499 | 0.180525 | 0 | 0.0563 | 0.110846 | 1,678 | 59 | 81 | 28.440678 | 0.5563 | 0.340882 | 0 | 0.423077 | 0 | 0 | 0.544527 | 0.051948 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0.192308 | 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 |
95c0ec3bbf5dfcbc14218087f1c41fdd10c1b36f | 5,135 | py | Python | spacy/tests/website/test_home.py | moyogo/spacy | ddf5c5bb61864320189ebc70dac3bc10e4ecde82 | [
"MIT"
] | null | null | null | spacy/tests/website/test_home.py | moyogo/spacy | ddf5c5bb61864320189ebc70dac3bc10e4ecde82 | [
"MIT"
] | null | null | null | spacy/tests/website/test_home.py | moyogo/spacy | ddf5c5bb61864320189ebc70dac3bc10e4ecde82 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import pytest
import spacy
import os
try:
xrange
except NameError:
xrange = range
@pytest.fixture()
def token(doc):
return doc[0]
@pytest.mark.models
def test_load_resources_and_process_text():
from spacy.en import English
nlp = English()
doc = nlp(u... | 28.370166 | 78 | 0.631353 | 718 | 5,135 | 4.32312 | 0.346797 | 0.027062 | 0.046392 | 0.05509 | 0.11759 | 0.042526 | 0.02384 | 0.02384 | 0.02384 | 0.02384 | 0 | 0.01026 | 0.259786 | 5,135 | 180 | 79 | 28.527778 | 0.806367 | 0.102629 | 0 | 0.117188 | 0 | 0 | 0.057984 | 0.008785 | 0 | 0 | 0 | 0 | 0.101563 | 1 | 0.171875 | false | 0 | 0.0625 | 0.03125 | 0.289063 | 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 |
95c1db49e8979342f440e2ee5e1a48186d51308c | 936 | py | Python | parsers/download_data.py | bioinf-mcb/polish-microbiome-project | 0fc15b1a5afe4edf63b6be6b945ac4053e3a24f9 | [
"BSD-3-Clause"
] | null | null | null | parsers/download_data.py | bioinf-mcb/polish-microbiome-project | 0fc15b1a5afe4edf63b6be6b945ac4053e3a24f9 | [
"BSD-3-Clause"
] | null | null | null | parsers/download_data.py | bioinf-mcb/polish-microbiome-project | 0fc15b1a5afe4edf63b6be6b945ac4053e3a24f9 | [
"BSD-3-Clause"
] | null | null | null | #%%
import json
import requests
from io import StringIO
import pandas as pd
# %%
with open("../db_pass", "r") as f:
token = json.load(f)['token']
# %%
data = {
'token': token,
'content': 'record',
'format': 'csv',
'type': 'flat',
'csvDelimiter': '',
'rawOrLabel': 'raw',
'rawOrLabelHead... | 23.4 | 113 | 0.63141 | 129 | 936 | 4.496124 | 0.589147 | 0.02069 | 0.041379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016477 | 0.157051 | 936 | 39 | 114 | 24 | 0.718631 | 0.014957 | 0 | 0 | 0 | 0.034483 | 0.386041 | 0.129771 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.034483 | 0.137931 | 0 | 0.137931 | 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 |
95c256321ed64a1e2f22ab370936dbb097ea26b8 | 2,622 | py | Python | preprocess/sequence_stats.py | ashish-roopan/fsgan | 1582e112d0f59cd32920ac5953baec783e088cad | [
"CC0-1.0"
] | 599 | 2020-04-14T19:28:58.000Z | 2022-03-26T11:29:37.000Z | preprocess/sequence_stats.py | ashish-roopan/fsgan | 1582e112d0f59cd32920ac5953baec783e088cad | [
"CC0-1.0"
] | 157 | 2020-04-14T21:13:43.000Z | 2022-02-07T06:30:16.000Z | preprocess/sequence_stats.py | ashish-roopan/fsgan | 1582e112d0f59cd32920ac5953baec783e088cad | [
"CC0-1.0"
] | 150 | 2020-04-14T20:40:41.000Z | 2022-03-30T10:50:21.000Z | """
Sequence statistics: Count, length, bounding boxes size.
"""
import os
from glob import glob
import pickle
from tqdm import tqdm
def extract_stats(cache_path):
# Load sequences from file
with open(cache_path, "rb") as fp: # Unpickling
seq_list = pickle.load(fp)
if len(seq_list) == 0:
... | 35.432432 | 114 | 0.622426 | 375 | 2,622 | 4.104 | 0.274667 | 0.051982 | 0.042885 | 0.023392 | 0.102014 | 0.071475 | 0 | 0 | 0 | 0 | 0 | 0.010256 | 0.256293 | 2,622 | 73 | 115 | 35.917808 | 0.778974 | 0.094584 | 0 | 0 | 0 | 0.02 | 0.161933 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.1 | 0 | 0.18 | 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 |
95c5e262b4da5f7adb2dec6d61c74e3194680b9a | 7,735 | py | Python | tests/test_dossier.py | openkamer/tk-api-python | 907b98ccc7602ad7e3e74f1e06f9544fbe66aba3 | [
"MIT"
] | 9 | 2017-11-16T12:39:11.000Z | 2021-10-16T19:30:52.000Z | tests/test_dossier.py | openkamer/tk-api-python | 907b98ccc7602ad7e3e74f1e06f9544fbe66aba3 | [
"MIT"
] | 1 | 2017-11-16T14:20:20.000Z | 2017-11-20T18:49:14.000Z | tests/test_dossier.py | openkamer/tk-api-python | 907b98ccc7602ad7e3e74f1e06f9544fbe66aba3 | [
"MIT"
] | 3 | 2018-09-10T18:57:39.000Z | 2020-06-09T14:13:10.000Z | import datetime
from tkapi.util import queries
from tkapi.zaak import Zaak, ZaakSoort
from tkapi.dossier import Dossier, DossierWetsvoorstel
from tkapi.document import Document
from .core import TKApiTestCase
class TestDossier(TKApiTestCase):
def test_get_dossiers(self):
dossiers = self.api.get_dossier... | 39.065657 | 118 | 0.648869 | 909 | 7,735 | 5.293729 | 0.147415 | 0.044888 | 0.02286 | 0.022444 | 0.405653 | 0.310266 | 0.265586 | 0.204073 | 0.124688 | 0.108063 | 0 | 0.019686 | 0.257919 | 7,735 | 197 | 119 | 39.263959 | 0.818641 | 0.249644 | 0 | 0.184874 | 0 | 0 | 0.025204 | 0 | 0 | 0 | 0 | 0 | 0.084034 | 1 | 0.10084 | false | 0 | 0.05042 | 0 | 0.226891 | 0.151261 | 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 |
95c7b536f4cc90da867d02e9f53e889cad554b21 | 27,649 | py | Python | Manuscript files/modflow_reference/auxfile_hexaplot.py | MaxRamgraber/Simple-AEM-Toolbox | 27751103f5e504dd675ba6225f2aee9f85d7c85d | [
"MIT"
] | 3 | 2021-06-16T12:27:22.000Z | 2022-01-04T11:21:35.000Z | Manuscript files/modflow_reference/auxfile_hexaplot.py | MaxRamgraber/Simple-AEM-Toolbox | 27751103f5e504dd675ba6225f2aee9f85d7c85d | [
"MIT"
] | null | null | null | Manuscript files/modflow_reference/auxfile_hexaplot.py | MaxRamgraber/Simple-AEM-Toolbox | 27751103f5e504dd675ba6225f2aee9f85d7c85d | [
"MIT"
] | 3 | 2021-06-17T11:20:20.000Z | 2022-01-12T09:56:56.000Z | """
This library contains several functions designed to help with the illustration of hexagonal grids
Functions:
plot_hexagaons : plots a specified data vector over a 2-D hexagon grid.
create_alpha_mask : creates an alpha shape (a concave hull), which is required for plotting contou... | 42.66821 | 240 | 0.537054 | 3,089 | 27,649 | 4.732923 | 0.178375 | 0.02093 | 0.010944 | 0.01026 | 0.379275 | 0.323461 | 0.272845 | 0.259302 | 0.239056 | 0.22948 | 0 | 0.032065 | 0.323231 | 27,649 | 648 | 241 | 42.66821 | 0.749145 | 0.355492 | 0 | 0.4 | 0 | 0 | 0.027599 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022581 | false | 0 | 0.083871 | 0 | 0.119355 | 0.009677 | 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 |
95c8f1ad4e81caf4b83710c865b7efb620f7466e | 58,889 | py | Python | tests/python/self_concepts_test.py | JulianAL-01/self-concepts | d4a5ebfdadc472535777349602c775a67aaa3823 | [
"MIT"
] | 14 | 2020-07-21T21:09:25.000Z | 2022-01-30T11:00:35.000Z | tests/python/self_concepts_test.py | JulianAL-01/self-concepts | d4a5ebfdadc472535777349602c775a67aaa3823 | [
"MIT"
] | 2 | 2020-07-28T14:46:11.000Z | 2020-07-28T14:52:23.000Z | tests/python/self_concepts_test.py | JulianAL-01/self-concepts | d4a5ebfdadc472535777349602c775a67aaa3823 | [
"MIT"
] | 5 | 2020-07-28T13:50:20.000Z | 2021-07-12T22:56:11.000Z | '''
self_concepts_test
This module serves as the unit test for self_concepts
'''
import argparse, sys
sys.path.append('../../source/python')
from self_concepts import Concept
from self_concepts import Property
from self_concepts import Relationship
from self_concepts import Ontology
from self_concepts import Blackb... | 40.252221 | 120 | 0.69558 | 5,816 | 58,889 | 7.013067 | 0.050894 | 0.120477 | 0.075463 | 0.109836 | 0.763533 | 0.690252 | 0.633348 | 0.586079 | 0.536334 | 0.499387 | 0 | 0.015023 | 0.218954 | 58,889 | 1,462 | 121 | 40.279754 | 0.871769 | 0.009611 | 0 | 0.564652 | 0 | 0 | 0.354245 | 0.005697 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015302 | false | 0.00306 | 0.006121 | 0 | 0.027544 | 0.006886 | 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 |
95c9bf8a576fcba5f592caf1b205652fbf6c6df7 | 1,042 | py | Python | 100-200q/123.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 990 | 2018-06-05T11:49:22.000Z | 2022-03-31T08:59:17.000Z | 100-200q/123.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 1 | 2021-11-01T01:29:38.000Z | 2021-11-01T01:29:38.000Z | 100-200q/123.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 482 | 2018-06-12T22:16:53.000Z | 2022-03-29T00:23:29.000Z | '''
Say you have an array for which the ith element is the price of a given stock on day i.
Design an algorithm to find the maximum profit. You may complete at most two transactions.
Note: You may not engage in multiple transactions at the same time (i.e., you must sell the stock before you buy again).
Example 1... | 30.647059 | 121 | 0.579655 | 179 | 1,042 | 3.363128 | 0.435754 | 0.041528 | 0.026578 | 0.039867 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04878 | 0.291747 | 1,042 | 33 | 122 | 31.575758 | 0.766938 | 0.541267 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.363636 | 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 |
95ca4ff47bbf69d356929cfddbfe83070e5ea793 | 2,077 | py | Python | lambdas/verify_admin.py | charvi-a/320-S20-Track1 | ac97504fc1fdedb1c311773b015570eeea8a8663 | [
"BSD-3-Clause"
] | 9 | 2019-12-30T16:32:22.000Z | 2020-03-03T20:14:47.000Z | lambdas/verify_admin.py | charvi-a/320-S20-Track1 | ac97504fc1fdedb1c311773b015570eeea8a8663 | [
"BSD-3-Clause"
] | 283 | 2020-02-03T15:16:03.000Z | 2020-05-05T03:18:59.000Z | lambdas/verify_admin.py | charvi-a/320-S20-Track1 | ac97504fc1fdedb1c311773b015570eeea8a8663 | [
"BSD-3-Clause"
] | 3 | 2020-04-16T15:23:29.000Z | 2020-05-12T00:38:41.000Z | import json
from package.query_db import query
from package.dictionary_to_list import dictionary_to_list
from package.lambda_exception import LambdaException
from boto3 import client as boto3_client
def verify_admin(event, context):
user_id = int(event['user_id'])
user_id_dic = {}
if user_id == None: #Maki... | 42.387755 | 148 | 0.639384 | 263 | 2,077 | 4.840304 | 0.319392 | 0.084839 | 0.050275 | 0.037706 | 0.25923 | 0.190102 | 0.190102 | 0.190102 | 0.190102 | 0.190102 | 0 | 0.011913 | 0.272508 | 2,077 | 48 | 149 | 43.270833 | 0.830576 | 0.108329 | 0 | 0.05 | 0 | 0 | 0.266667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.125 | 0 | 0.15 | 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 |
95cadfb3b8d6c3a18abd5334655fd77acc7c9759 | 4,821 | py | Python | run.py | Galaxy-SynBioCAD/rp2paths | f87ea0f64556be44af1ae717cd4246159253d029 | [
"MIT"
] | null | null | null | run.py | Galaxy-SynBioCAD/rp2paths | f87ea0f64556be44af1ae717cd4246159253d029 | [
"MIT"
] | null | null | null | run.py | Galaxy-SynBioCAD/rp2paths | f87ea0f64556be44af1ae717cd4246159253d029 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Created on September 21 2019
@author: Melchior du Lac
@description: Wrap rp2paths into a docker
"""
import argparse
import tempfile
import os
import logging
import shutil
import docker
import glob
def main(rp_pathways, rp2paths_pathways, rp2paths_compounds, timeout=30, max_steps=0, max_pa... | 43.827273 | 158 | 0.611077 | 543 | 4,821 | 5.254144 | 0.263352 | 0.071504 | 0.04171 | 0.012618 | 0.201542 | 0.19313 | 0.121977 | 0.093936 | 0.093936 | 0.093936 | 0 | 0.018118 | 0.290189 | 4,821 | 109 | 159 | 44.229358 | 0.815605 | 0.186476 | 0 | 0.173333 | 0 | 0 | 0.214639 | 0.076322 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013333 | false | 0 | 0.093333 | 0 | 0.106667 | 0.053333 | 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 |
95cb8a34cde724ada03c12bdaeb21669317ed997 | 402 | py | Python | verilator/scripts/concat_up5k.py | micro-FPGA/engine-V | 00a8f924e10fc69874d9c179f788bf037fe9c407 | [
"Apache-2.0"
] | 44 | 2018-11-19T16:49:10.000Z | 2021-12-05T10:16:24.000Z | verilator/scripts/concat_up5k.py | micro-FPGA/engine-V | 00a8f924e10fc69874d9c179f788bf037fe9c407 | [
"Apache-2.0"
] | null | null | null | verilator/scripts/concat_up5k.py | micro-FPGA/engine-V | 00a8f924e10fc69874d9c179f788bf037fe9c407 | [
"Apache-2.0"
] | 5 | 2018-12-05T23:43:21.000Z | 2020-09-03T04:36:34.000Z |
spiFile = open('spiflash.bin','wb')
# 128KB is reserved for bitstream
bitFile = open('../bitstream/mf8a18_rv32i.bin','rb')
bitData = bitFile.read(0x20000)
riscvFile = open('riscv.bin','rb')
riscvData = riscvFile.read(32768)
spiFile.write(bitData)
spiFile.seek(0x20000)
spiFile.write(riscvData)
nullData = bytearray... | 17.478261 | 52 | 0.748756 | 52 | 402 | 5.769231 | 0.538462 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07989 | 0.097015 | 402 | 22 | 53 | 18.272727 | 0.746556 | 0.077114 | 0 | 0 | 0 | 0 | 0.152589 | 0.079019 | 0 | 0 | 0.057221 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
95cda288d497faae566e114db4bdc1e1b83b2b52 | 753 | py | Python | pyvista_gui/options.py | akaszynski/pyvista-gui | 4ed7e3a52026dfeab4e82a300b92a92f43060dda | [
"MIT"
] | 6 | 2019-11-20T20:08:42.000Z | 2022-02-24T12:24:20.000Z | pyvista_gui/options.py | akaszynski/pyvista-gui | 4ed7e3a52026dfeab4e82a300b92a92f43060dda | [
"MIT"
] | 6 | 2020-01-27T16:15:11.000Z | 2021-04-12T11:42:11.000Z | pyvista_gui/options.py | akaszynski/pyvista-gui | 4ed7e3a52026dfeab4e82a300b92a92f43060dda | [
"MIT"
] | null | null | null | """Options for saving user prefences, etc.
"""
import json
import os
import pyvista
class RcParams(dict):
"""Internally used class to manage the rcParams"""
filename = os.path.join(pyvista.USER_DATA_PATH, 'rcParams.json')
def save(self):
with open(self.filename, 'w') as f:
json.dump... | 19.815789 | 68 | 0.629482 | 100 | 753 | 4.63 | 0.5 | 0.056156 | 0.051836 | 0.069114 | 0.103672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25498 | 753 | 37 | 69 | 20.351351 | 0.825312 | 0.217795 | 0 | 0 | 0 | 0 | 0.026042 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.130435 | 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 |
95ce4cab43e2034234aed87a60cc3f00447f9524 | 4,445 | py | Python | 2020/aoc/__init__.py | amochtar/adventofcode | 292e7f00a1e19d2149d00246b0a77fedfcd3bd08 | [
"MIT"
] | 1 | 2019-12-27T22:36:30.000Z | 2019-12-27T22:36:30.000Z | 2020/aoc/__init__.py | amochtar/adventofcode | 292e7f00a1e19d2149d00246b0a77fedfcd3bd08 | [
"MIT"
] | null | null | null | 2020/aoc/__init__.py | amochtar/adventofcode | 292e7f00a1e19d2149d00246b0a77fedfcd3bd08 | [
"MIT"
] | null | null | null | import itertools
import re
import math
from typing import List, Tuple
def ints(text: str) -> Tuple[int, ...]:
"Return a tuple of all ints in a string"
return tuple(map(int, re.findall(r'-?\b\d+\b', text)))
def powerset(iterable):
"powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)"
s ... | 26.939394 | 109 | 0.526659 | 787 | 4,445 | 2.935197 | 0.162643 | 0.085714 | 0.114286 | 0.038961 | 0.551948 | 0.511688 | 0.511688 | 0.501299 | 0.437229 | 0.407359 | 0 | 0.044383 | 0.265017 | 4,445 | 164 | 110 | 27.103659 | 0.662687 | 0.19685 | 0 | 0.188976 | 0 | 0.015748 | 0.205174 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125984 | false | 0 | 0.031496 | 0.007874 | 0.283465 | 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 |
95ce971f5a305cd3a19578c204fef92020757f3c | 4,431 | py | Python | pi_source_code.py | cjkuhlmann/CCHack2019 | fb6eb505ac350c2dda0c36e1f33254fbeef049bf | [
"MIT"
] | null | null | null | pi_source_code.py | cjkuhlmann/CCHack2019 | fb6eb505ac350c2dda0c36e1f33254fbeef049bf | [
"MIT"
] | null | null | null | pi_source_code.py | cjkuhlmann/CCHack2019 | fb6eb505ac350c2dda0c36e1f33254fbeef049bf | [
"MIT"
] | null | null | null | import math
import time
from max30105 import MAX30105, HeartRate
import smbus
from bme280 import BME280
import socket
#from matplotlib import pyplot as plt
class DataPoint():
def __init__(self,value,time):
self.time_stamp = time
self.value = value
class Device():
def __init__(self... | 28.403846 | 83 | 0.558565 | 545 | 4,431 | 4.321101 | 0.220183 | 0.056051 | 0.035669 | 0.033121 | 0.242463 | 0.134183 | 0.112527 | 0.051805 | 0 | 0 | 0 | 0.053828 | 0.324983 | 4,431 | 155 | 84 | 28.587097 | 0.733534 | 0.045362 | 0 | 0.086957 | 0 | 0 | 0.01315 | 0 | 0 | 0 | 0.001144 | 0 | 0 | 1 | 0.108696 | false | 0.01087 | 0.065217 | 0 | 0.195652 | 0.01087 | 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 |
95cead6bce011703374b48a18d5379f241d0c282 | 1,417 | py | Python | butter/mas/clients/client_factory.py | bennymeg/Butter.MAS.PythonAPI | 9641293436d989ae9c5324c2b8129f232822b248 | [
"Apache-2.0"
] | 2 | 2019-08-22T08:57:42.000Z | 2019-11-28T14:01:49.000Z | butter/mas/clients/client_factory.py | bennymeg/Butter.MAS.PythonAPI | 9641293436d989ae9c5324c2b8129f232822b248 | [
"Apache-2.0"
] | null | null | null | butter/mas/clients/client_factory.py | bennymeg/Butter.MAS.PythonAPI | 9641293436d989ae9c5324c2b8129f232822b248 | [
"Apache-2.0"
] | null | null | null | from .client_http import HttpClient
from .client_tcp import TcpClient
from .client_udp import UdpClient
from .client import Client
class ClientFactory:
""" Client factory for different types of protocols """
def getClient(self, ip, port=None, protocol="http") -> Client:
"""Creates new client
... | 30.148936 | 81 | 0.56669 | 149 | 1,417 | 5.369128 | 0.288591 | 0.0375 | 0.03 | 0.0375 | 0.46 | 0.235 | 0.1675 | 0.1675 | 0.1675 | 0.1675 | 0 | 0 | 0.348624 | 1,417 | 46 | 82 | 30.804348 | 0.866739 | 0.281581 | 0 | 0.434783 | 0 | 0 | 0.032147 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.173913 | 0 | 0.652174 | 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 |
95ceaebae16674be2fef2960c47326152d1eb461 | 1,569 | py | Python | scrapytest/spiders/ScrapyDemo5.py | liang1024/Scrapy | bfa7ea5b2174bf91c49f4da9dadc5471acc43092 | [
"Apache-2.0"
] | null | null | null | scrapytest/spiders/ScrapyDemo5.py | liang1024/Scrapy | bfa7ea5b2174bf91c49f4da9dadc5471acc43092 | [
"Apache-2.0"
] | null | null | null | scrapytest/spiders/ScrapyDemo5.py | liang1024/Scrapy | bfa7ea5b2174bf91c49f4da9dadc5471acc43092 | [
"Apache-2.0"
] | null | null | null | import scrapy
'''
现在您已经知道如何从页面中提取数据,我们来看看如何跟踪它们的链接。
首先是提取我们想要跟踪的页面的链接。检查我们的页面,我们可以看到有一个链接到下一个页面与以下标记:
<ul class="pager">
<li class="next">
<a href="/page/2/">Next <span aria-hidden="true">→</span></a>
</li>
</ul>
我们可以尝试在shell中提取它:
>>> response.css('li.next a').extract_first()
'<a href="/page/2/"... | 24.138462 | 116 | 0.66348 | 177 | 1,569 | 5.824859 | 0.519774 | 0.058196 | 0.037827 | 0.049467 | 0.153249 | 0.13579 | 0.13579 | 0.13579 | 0.13579 | 0 | 0 | 0.004623 | 0.172721 | 1,569 | 65 | 117 | 24.138462 | 0.788906 | 0 | 0 | 0.111111 | 0 | 0 | 0.189679 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 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 |
95cf9c3a1a9e3db6fb75803b4f3891c4c503d528 | 15,563 | py | Python | digits/model/forms.py | Linda-liugongzi/DIGITS-digits-py3 | 6df5eb6972574a628b9544934518ec8dfa9c7439 | [
"BSD-3-Clause"
] | null | null | null | digits/model/forms.py | Linda-liugongzi/DIGITS-digits-py3 | 6df5eb6972574a628b9544934518ec8dfa9c7439 | [
"BSD-3-Clause"
] | null | null | null | digits/model/forms.py | Linda-liugongzi/DIGITS-digits-py3 | 6df5eb6972574a628b9544934518ec8dfa9c7439 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2014-2017, NVIDIA CORPORATION. All rights reserved.
import os
import flask
from flask_wtf import FlaskForm
import wtforms
from wtforms import validators
from digits.config import config_value
from digits.device_query import get_device, get_nvml_info
from digits import utils
f... | 36.791962 | 122 | 0.556512 | 1,545 | 15,563 | 5.440777 | 0.259547 | 0.03331 | 0.040566 | 0.044492 | 0.258506 | 0.196407 | 0.164406 | 0.148227 | 0.139186 | 0.131573 | 0 | 0.007402 | 0.340294 | 15,563 | 422 | 123 | 36.879147 | 0.811337 | 0.083531 | 0 | 0.307463 | 0 | 0 | 0.219826 | 0.002178 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026866 | false | 0.008955 | 0.035821 | 0 | 0.197015 | 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 |
95d02019dda244ece2c09a15f8673c55536ad4de | 1,155 | py | Python | 004 Sons/afinacao.py | yamadathamine/300ideiasparaprogramarPython | 331a063bbf8bcd117ae5a34324b8176a6014fc98 | [
"MIT"
] | null | null | null | 004 Sons/afinacao.py | yamadathamine/300ideiasparaprogramarPython | 331a063bbf8bcd117ae5a34324b8176a6014fc98 | [
"MIT"
] | 4 | 2020-06-09T19:10:04.000Z | 2020-06-17T18:23:47.000Z | 004 Sons/afinacao.py | yamadathamine/300ideiasparaprogramarPython | 331a063bbf8bcd117ae5a34324b8176a6014fc98 | [
"MIT"
] | null | null | null | # encoding: utf-8
# usando python 3
# Afinação - Alberto toca violão e é programador.
# Precisando afinar o violão e sem diapasão por perto,
# resolveu fazer um programa para ajudá-lo.
# O que ele queria era a nota Lá soando sem parar até que ele conseguisse afinar a
# respectiva corda do violão; as demais cordas ... | 35 | 88 | 0.735931 | 199 | 1,155 | 4.246231 | 0.653266 | 0.017751 | 0.016568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043944 | 0.192208 | 1,155 | 33 | 89 | 35 | 0.861736 | 0.684848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 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 |
95d7f54672f221417081565b033268249f18412b | 835 | py | Python | tests/test_modules/test_builtin/test_grouppart.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | tests/test_modules/test_builtin/test_grouppart.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | tests/test_modules/test_builtin/test_grouppart.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | import unittest
from malcolm.core import call_with_params
from malcolm.modules.builtin.parts import GroupPart
class TestGroupPart(unittest.TestCase):
def setUp(self):
self.o = call_with_params(
GroupPart, name="things", description="A group of things")
self.setter = list(self.o.creat... | 32.115385 | 70 | 0.653892 | 107 | 835 | 5.028037 | 0.439252 | 0.074349 | 0.122677 | 0.139405 | 0.315985 | 0.104089 | 0 | 0 | 0 | 0 | 0 | 0.003077 | 0.221557 | 835 | 25 | 71 | 33.4 | 0.824615 | 0 | 0 | 0.105263 | 0 | 0 | 0.132934 | 0 | 0 | 0 | 0 | 0 | 0.368421 | 1 | 0.157895 | 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 |
95d8eae1e421c5a5d85e31ca5953813a5295d371 | 512 | py | Python | ok2_backend/common/utils.py | Mipsters/ok2-backend | 50ddbb44262749d731f4e923add205541254223d | [
"MIT"
] | 1 | 2020-02-10T17:53:58.000Z | 2020-02-10T17:53:58.000Z | ok2_backend/common/utils.py | Mipsters/ok2-backend | 50ddbb44262749d731f4e923add205541254223d | [
"MIT"
] | 6 | 2020-01-06T19:37:12.000Z | 2021-09-22T18:03:31.000Z | ok2_backend/common/utils.py | Mipsters/ok2-backend | 50ddbb44262749d731f4e923add205541254223d | [
"MIT"
] | 5 | 2019-11-18T17:39:29.000Z | 2020-07-31T16:00:21.000Z | import os
from jose import jwt
from datetime import datetime, timedelta
JWT_SECRET = 'secret'
JWT_ALGORITHM = 'HS256'
JWT_EXP_DELTA_SECONDS = 31556952 # year
def get_token(request):
return jwt.decode(request.headers.get('Authorization'), os.environ['JWT_SECRET'])
def create_token(user_id):
payload = {
... | 23.272727 | 85 | 0.722656 | 69 | 512 | 5.101449 | 0.434783 | 0.076705 | 0.102273 | 0.102273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026005 | 0.173828 | 512 | 21 | 86 | 24.380952 | 0.806147 | 0.007813 | 0 | 0 | 0 | 0 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.2 | 0.066667 | 0.466667 | 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 |
95e0d6973a04cf649a738acb651bea0fa6b7dfcd | 996 | py | Python | Inflearn_SungKim/3.MultiVariableLinearRegression/multi-variableLinearregression.py | shinhaha/tensorflow | 4647017a727985d64c5b0addee92f0ec516952c1 | [
"MIT"
] | null | null | null | Inflearn_SungKim/3.MultiVariableLinearRegression/multi-variableLinearregression.py | shinhaha/tensorflow | 4647017a727985d64c5b0addee92f0ec516952c1 | [
"MIT"
] | null | null | null | Inflearn_SungKim/3.MultiVariableLinearRegression/multi-variableLinearregression.py | shinhaha/tensorflow | 4647017a727985d64c5b0addee92f0ec516952c1 | [
"MIT"
] | null | null | null | import tensorflow as tf
x1_data=[73.,93.,89.,96.,73.]
x2_data=[80.,88.,91.,98.,66.]
x3_data=[75.,93.,90.,100.,70.]
y_data=[152.,185.,180.,196.,142.]
x1=tf.placeholder(tf.float32)
x2=tf.placeholder(tf.float32)
x3=tf.placeholder(tf.float32)
Y=tf.placeholder(tf.float32)
w1=tf.Variable(tf.random_normal([1]),name='weight... | 32.129032 | 85 | 0.712851 | 170 | 996 | 4.047059 | 0.458824 | 0.075581 | 0.087209 | 0.127907 | 0.188953 | 0.188953 | 0.188953 | 0.104651 | 0 | 0 | 0 | 0.09989 | 0.085341 | 996 | 31 | 86 | 32.129032 | 0.655324 | 0.03012 | 0 | 0 | 0 | 0 | 0.046681 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041667 | 0 | 0.041667 | 0.041667 | 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 |
95e18e6281085104769aa15c1a8ef9828b449526 | 1,759 | py | Python | train_model.py | sanjjayrj/Chatbot-NLTK | 2000a3c640d6624984ca4ad2457557e937d4ae05 | [
"MIT"
] | 3 | 2020-11-17T12:14:37.000Z | 2021-08-14T05:46:38.000Z | train_model.py | sanjjayrj/Chatbot-NLTK | 2000a3c640d6624984ca4ad2457557e937d4ae05 | [
"MIT"
] | null | null | null | train_model.py | sanjjayrj/Chatbot-NLTK | 2000a3c640d6624984ca4ad2457557e937d4ae05 | [
"MIT"
] | null | null | null | import pandas as pd
import nltk
import re
from nltk.stem import wordnet
from nltk import pos_tag
from nltk import word_tokenize
from datetime import datetime
data = pd.read_csv('traindata.csv', encoding='utf-8')
train_counter = 0
def text_normalize(text):
global train_counter
if train_counter % 10000 == 0:
... | 37.425532 | 119 | 0.557703 | 204 | 1,759 | 4.607843 | 0.387255 | 0.06383 | 0.031915 | 0.057447 | 0.145745 | 0.123404 | 0 | 0 | 0 | 0 | 0 | 0.007052 | 0.19386 | 1,759 | 47 | 120 | 37.425532 | 0.655853 | 0 | 0 | 0.045455 | 0 | 0 | 0.249432 | 0.120455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.181818 | 0 | 0.227273 | 0.227273 | 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 |
95e2b38a9c011b08bb379e05752137d534a0a8a9 | 1,848 | py | Python | tensor_twister/server.py | iamorphen/tensor_twister | d7936efa50cf0f7f3950ff4cbb0dd3fbac310ca9 | [
"MIT"
] | null | null | null | tensor_twister/server.py | iamorphen/tensor_twister | d7936efa50cf0f7f3950ff4cbb0dd3fbac310ca9 | [
"MIT"
] | null | null | null | tensor_twister/server.py | iamorphen/tensor_twister | d7936efa50cf0f7f3950ff4cbb0dd3fbac310ca9 | [
"MIT"
] | null | null | null | import io
import logging
import queue
from collections import namedtuple
import torch
import zmq
from tensor_twister.status_codes import StatusCode
UnpackedMessage = namedtuple("UnpackedMessage", ["tensor", "name", "ip"])
def serve(host: str, port: int):
"""
Listen for incoming tensor data from clients. P... | 33 | 120 | 0.635281 | 242 | 1,848 | 4.756198 | 0.404959 | 0.047785 | 0.026064 | 0.022589 | 0.034752 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016186 | 0.231061 | 1,848 | 55 | 121 | 33.6 | 0.793807 | 0.170455 | 0 | 0 | 0 | 0.088235 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.205882 | 0 | 0.235294 | 0.088235 | 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 |
95e39518b618f5551cfe1c882c8f307a7a86e276 | 6,744 | py | Python | optunity/solvers/CMAES.py | xrounder/optunity | 019182ca83fe2002083cc1ac938510cb967fd2c9 | [
"BSD-3-Clause"
] | 401 | 2015-01-08T00:56:20.000Z | 2022-03-19T09:07:12.000Z | optunity/solvers/CMAES.py | xrounder/optunity | 019182ca83fe2002083cc1ac938510cb967fd2c9 | [
"BSD-3-Clause"
] | 67 | 2015-01-08T09:13:20.000Z | 2022-01-05T23:26:36.000Z | optunity/solvers/CMAES.py | xrounder/optunity | 019182ca83fe2002083cc1ac938510cb967fd2c9 | [
"BSD-3-Clause"
] | 94 | 2015-02-04T08:35:56.000Z | 2021-10-03T12:40:35.000Z | #! /usr/bin/env python
# Copyright (c) 2014 KU Leuven, ESAT-STADIUS
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notic... | 36.852459 | 144 | 0.631821 | 806 | 6,744 | 5.203474 | 0.387097 | 0.01073 | 0.017167 | 0.010968 | 0.133047 | 0.121602 | 0.101097 | 0.076776 | 0.076776 | 0.076776 | 0 | 0.008307 | 0.286032 | 6,744 | 182 | 145 | 37.054945 | 0.862721 | 0.375297 | 0 | 0.164948 | 0 | 0 | 0.159567 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082474 | false | 0 | 0.164948 | 0.041237 | 0.329897 | 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 |
95e555ee7266bd7c5e0f103c5c42eba12b36c67d | 622 | py | Python | DailyCoding/11.py | jason71319jason/Interview-solved | 42ca93a68475952753d185c325cb55c79e2e55e1 | [
"MIT"
] | 46 | 2019-10-14T01:21:35.000Z | 2022-01-08T23:55:15.000Z | DailyCoding/11.py | jason71319jason/Interview-solved | 42ca93a68475952753d185c325cb55c79e2e55e1 | [
"MIT"
] | 53 | 2019-10-03T17:16:43.000Z | 2020-12-08T12:48:19.000Z | DailyCoding/11.py | jason71319jason/Interview-solved | 42ca93a68475952753d185c325cb55c79e2e55e1 | [
"MIT"
] | 96 | 2019-10-03T18:12:10.000Z | 2021-03-14T19:41:06.000Z | """
This problem was asked by Twitter.
Implement an autocomplete system. That is, given a query string s and a set of all possible query strings, return all strings in the set that have s as a prefix.
For example, given the query string de and the set of strings [dog, deer, deal], return [deer, deal].
Hint: Try prep... | 28.272727 | 161 | 0.705788 | 96 | 622 | 4.552083 | 0.583333 | 0.05492 | 0.050343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210611 | 622 | 22 | 162 | 28.272727 | 0.89002 | 0.639871 | 0 | 0 | 0 | 0 | 0.060465 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 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 |
95e79ef92334e9854cdc295c02dc16e232f812ed | 4,974 | py | Python | pyblnet/blnet_parser.py | henfri/pyblnet | 0a3a59ea39ab569d4b59be5a918736dc238bcf13 | [
"MIT"
] | 3 | 2019-03-11T12:38:43.000Z | 2022-02-18T21:40:54.000Z | pyblnet/blnet_parser.py | henfri/pyblnet | 0a3a59ea39ab569d4b59be5a918736dc238bcf13 | [
"MIT"
] | 26 | 2018-10-15T10:57:21.000Z | 2021-03-23T18:35:06.000Z | pyblnet/blnet_parser.py | henfri/pyblnet | 0a3a59ea39ab569d4b59be5a918736dc238bcf13 | [
"MIT"
] | 7 | 2018-10-03T09:39:30.000Z | 2020-03-12T19:44:44.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on 09.08.2018
This is basically a python port of of a script by berwinter
https://github.com/berwinter/uvr1611/blob/master/lib/backend/blnet-connection.inc.php
author: Niels
"""
import struct
from datetime import datetime
# Parser constant
# 1 bit
DIGITAL_ON ... | 29.784431 | 85 | 0.559912 | 581 | 4,974 | 4.640275 | 0.299484 | 0.031157 | 0.040059 | 0.031528 | 0.148739 | 0.057864 | 0.057864 | 0 | 0 | 0 | 0 | 0.051432 | 0.347205 | 4,974 | 166 | 86 | 29.963855 | 0.778873 | 0.183957 | 0 | 0.137255 | 0 | 0 | 0.008105 | 0 | 0 | 0 | 0.025359 | 0 | 0 | 1 | 0.078431 | false | 0 | 0.019608 | 0 | 0.264706 | 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 |
95e8a73a4c141ad9d18c2ea514ffb13b8b700b03 | 3,568 | py | Python | app/routers/nodes.py | yamatteo/vue-fastapi-boilerplate | 5fa3de29a6e7ec4a8df9b3a4073f462307f62cb6 | [
"MIT"
] | 2 | 2020-03-11T02:58:44.000Z | 2020-03-27T16:00:25.000Z | app/routers/nodes.py | yamatteo/vue-fastapi-boilerplate | 5fa3de29a6e7ec4a8df9b3a4073f462307f62cb6 | [
"MIT"
] | 7 | 2021-03-10T07:59:29.000Z | 2022-02-26T23:46:17.000Z | app/routers/nodes.py | yamatteo/vue-fastapi-boilerplate | 5fa3de29a6e7ec4a8df9b3a4073f462307f62cb6 | [
"MIT"
] | 1 | 2020-03-11T02:58:48.000Z | 2020-03-11T02:58:48.000Z | from typing import Optional
from typing import List
from fastapi import APIRouter, Depends, Body
from models import User, Content, Node, Group, ExternalContent
from routers import get_current_user, admin_only
from schemas import NodeAdd, NodeEdit, NodeFind
#
router = APIRouter()
@router.post("/push_content")
async... | 37.166667 | 121 | 0.690583 | 492 | 3,568 | 4.810976 | 0.148374 | 0.037178 | 0.060837 | 0.047317 | 0.606675 | 0.558513 | 0.454584 | 0.400507 | 0.363329 | 0.363329 | 0 | 0 | 0.169843 | 3,568 | 95 | 122 | 37.557895 | 0.799122 | 0 | 0 | 0.338028 | 0 | 0 | 0.060835 | 0.012335 | 0 | 0 | 0 | 0 | 0.056338 | 1 | 0 | false | 0 | 0.084507 | 0 | 0.225352 | 0.028169 | 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 |
95ea2d544465e77e80dcc38902724b81ddc4c5b9 | 2,427 | py | Python | Algebra/vector.py | jonasjungaker/VectorsAlgebra | 1b064b4328b7eb6a3c7a1c50b29e6df042309ca5 | [
"MIT"
] | null | null | null | Algebra/vector.py | jonasjungaker/VectorsAlgebra | 1b064b4328b7eb6a3c7a1c50b29e6df042309ca5 | [
"MIT"
] | null | null | null | Algebra/vector.py | jonasjungaker/VectorsAlgebra | 1b064b4328b7eb6a3c7a1c50b29e6df042309ca5 | [
"MIT"
] | null | null | null | class vector:
def __init__(self, *vals):
self.x = list(vals)
for val in vals:
float(val)
self.dimension = len(self.x)
def __getitem__(self, key):
return self.x[key]
def __setitem__(self, key, value):
self.x[key] = value
return self
... | 29.240964 | 87 | 0.510507 | 292 | 2,427 | 4.082192 | 0.232877 | 0.098154 | 0.030201 | 0.055369 | 0.399329 | 0.286913 | 0.14094 | 0 | 0 | 0 | 0 | 0.015852 | 0.376185 | 2,427 | 82 | 88 | 29.597561 | 0.771466 | 0.046148 | 0 | 0.223881 | 0 | 0 | 0.024664 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.19403 | false | 0 | 0 | 0.044776 | 0.432836 | 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 |
95ed4a727fcf9707dcfd7fa3fc1e4e7848fbb44c | 992 | py | Python | neodroidagent/common/session_factory/vertical/procedures/training/sampling/rollout.py | gitter-badger/agent | 3f53eaa7ebdee3ab423c7b58785d584fe1a6ae11 | [
"Apache-2.0"
] | 8 | 2017-09-13T08:28:44.000Z | 2022-01-21T15:59:19.000Z | neodroidagent/common/session_factory/vertical/procedures/training/sampling/rollout.py | gitter-badger/agent | 3f53eaa7ebdee3ab423c7b58785d584fe1a6ae11 | [
"Apache-2.0"
] | 4 | 2019-03-22T13:49:16.000Z | 2019-03-25T13:49:39.000Z | neodroidagent/common/session_factory/vertical/procedures/training/sampling/rollout.py | gitter-badger/agent | 3f53eaa7ebdee3ab423c7b58785d584fe1a6ae11 | [
"Apache-2.0"
] | 3 | 2017-09-13T08:31:38.000Z | 2021-11-09T11:22:27.000Z | from itertools import count
from tqdm import tqdm
from neodroid.environments.droid_environment import VectorUnityEnvironment
def run(self, environment: VectorUnityEnvironment, render: bool = True) -> None:
state = environment.reset().observables
F = count(1)
F = tqdm(F, leave=False, disable=not render)... | 26.810811 | 82 | 0.626008 | 117 | 992 | 5.230769 | 0.401709 | 0.029412 | 0.068627 | 0.104575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004155 | 0.272177 | 992 | 36 | 83 | 27.555556 | 0.84349 | 0 | 0 | 0.083333 | 0 | 0 | 0.034274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.125 | 0 | 0.208333 | 0.041667 | 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 |
95eef20a68a045c35b991c4b9eef565e70a03766 | 17,995 | py | Python | sysevr/slicer/mapping.py | Saleh-Ibtasham/VulScrape | 738d17e9dd7e5edc2341d106361651fd28f99c61 | [
"PostgreSQL",
"Unlicense",
"MIT"
] | 1 | 2021-04-12T12:59:33.000Z | 2021-04-12T12:59:33.000Z | sysevr/slicer/mapping.py | Jokers-grin/VulScrape | 738d17e9dd7e5edc2341d106361651fd28f99c61 | [
"PostgreSQL",
"Unlicense",
"MIT"
] | null | null | null | sysevr/slicer/mapping.py | Jokers-grin/VulScrape | 738d17e9dd7e5edc2341d106361651fd28f99c61 | [
"PostgreSQL",
"Unlicense",
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import re
import copy
import os
import string
import xlrd
import pickle
from .get_tokens import *
keywords_0 = ('auto', 'typedf', 'const', 'extern', 'register', 'static', 'volatile', 'continue', 'break',
'default', 'return', 'goto', 'else', 'case')
keywords_1 = ('catch', 'sizeof... | 38.866091 | 160 | 0.373159 | 1,759 | 17,995 | 3.681069 | 0.152359 | 0.087104 | 0.047876 | 0.069498 | 0.537297 | 0.503475 | 0.478919 | 0.462857 | 0.438147 | 0.425328 | 0 | 0.033092 | 0.492859 | 17,995 | 462 | 161 | 38.950216 | 0.676419 | 0.020228 | 0 | 0.581267 | 0 | 0.00551 | 0.103162 | 0.014137 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016529 | false | 0.002755 | 0.019284 | 0 | 0.068871 | 0.008264 | 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 |
95ef71f8c3f9102a164ab9d3fc0c343aa7cbaaa5 | 7,035 | py | Python | lib/datasets/vrd/to_pascal_format.py | sx14/open-relation.pytorch | 3fe52a0c6129a80abbc84df53903d13b7dea05d6 | [
"MIT"
] | 2 | 2019-04-21T01:45:01.000Z | 2020-03-11T07:09:18.000Z | lib/datasets/vrd/to_pascal_format.py | sx14/open-relation.pytorch | 3fe52a0c6129a80abbc84df53903d13b7dea05d6 | [
"MIT"
] | null | null | null | lib/datasets/vrd/to_pascal_format.py | sx14/open-relation.pytorch | 3fe52a0c6129a80abbc84df53903d13b7dea05d6 | [
"MIT"
] | null | null | null | import os
import shutil
import xml.dom.minidom
def output_pascal_format(mid_data, output_path):
# mid_data:
# filename
# width
# height
# depth
# objects
# -- xmin
# -- ymin
# -- xmax
# -- ymax
# -- name
# -- pose
# -- truncated
# -- difficult
... | 45.980392 | 87 | 0.729495 | 930 | 7,035 | 5.055914 | 0.093548 | 0.062527 | 0.089962 | 0.071884 | 0.529562 | 0.31795 | 0.175883 | 0.034879 | 0 | 0 | 0 | 0.004804 | 0.171429 | 7,035 | 153 | 88 | 45.980392 | 0.801853 | 0.04037 | 0 | 0 | 0 | 0 | 0.074085 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008197 | false | 0 | 0.02459 | 0 | 0.032787 | 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 |
95f03d2ec095743360ac14d2a11b057617f86d87 | 4,880 | py | Python | stellar/cognition/planning.py | strfx/stellar | 41b190eed016d2d6ad8548490a0c9620a02d711e | [
"MIT"
] | null | null | null | stellar/cognition/planning.py | strfx/stellar | 41b190eed016d2d6ad8548490a0c9620a02d711e | [
"MIT"
] | null | null | null | stellar/cognition/planning.py | strfx/stellar | 41b190eed016d2d6ad8548490a0c9620a02d711e | [
"MIT"
] | null | null | null | """
Contains path planning logic.
"""
import math
import numpy as np
from heapq import heappush, heappop
def heuristics(a, b):
"""Heuristics function using the Euclidian Distance."""
weight = 1.0
x1, y1 = a
x2, y2 = b
distance = np.sqrt(np.square(x2-x1) + np.square(y2-y1))
# distance = math.... | 28.87574 | 92 | 0.527664 | 582 | 4,880 | 4.269759 | 0.297251 | 0.012072 | 0.015694 | 0.017706 | 0.129577 | 0.075654 | 0.075654 | 0.051509 | 0.005634 | 0.005634 | 0 | 0.030093 | 0.380328 | 4,880 | 168 | 93 | 29.047619 | 0.791667 | 0.182992 | 0 | 0.072165 | 0 | 0 | 0.006724 | 0 | 0 | 0 | 0 | 0.005952 | 0 | 1 | 0.061856 | false | 0.010309 | 0.041237 | 0.010309 | 0.164948 | 0.010309 | 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 |
95f29beeb0a5add129f6eb5d02625efa724d1d4e | 699 | py | Python | core/migrations/0008_auto_20151203_1519.py | rafaelbantu/timtec | 86c51b7440a044704ed33c3e752a6cf6b15ceae3 | [
"BSD-3-Clause"
] | 21 | 2015-09-23T14:07:16.000Z | 2022-02-18T01:35:18.000Z | core/migrations/0008_auto_20151203_1519.py | rafaelbantu/timtec | 86c51b7440a044704ed33c3e752a6cf6b15ceae3 | [
"BSD-3-Clause"
] | 178 | 2016-05-10T16:16:19.000Z | 2021-12-15T20:21:21.000Z | core/migrations/0008_auto_20151203_1519.py | rafaelbantu/timtec | 86c51b7440a044704ed33c3e752a6cf6b15ceae3 | [
"BSD-3-Clause"
] | 18 | 2015-10-23T13:28:17.000Z | 2021-09-22T13:08:28.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0007_auto_20151202_1434'),
]
operations = [
migrations.AddField(
model_name='certificationprocess',
... | 27.96 | 132 | 0.635193 | 62 | 699 | 6.935484 | 0.66129 | 0.04186 | 0.134884 | 0.153488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032319 | 0.247496 | 699 | 24 | 133 | 29.125 | 0.785171 | 0.030043 | 0 | 0.222222 | 0 | 0 | 0.211538 | 0.069527 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.277778 | 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 |
95f38c9fc1b89ab08b48f547bb8603c9adde90bb | 628 | py | Python | hipshare/lib/util.py | erg0dic/hipshare | 993f0edee7e9156b7154d578ef6a4e50cfcdd632 | [
"BSD-2-Clause"
] | 1 | 2015-11-03T19:33:44.000Z | 2015-11-03T19:33:44.000Z | hipshare/lib/util.py | erg0dic/hipshare | 993f0edee7e9156b7154d578ef6a4e50cfcdd632 | [
"BSD-2-Clause"
] | 1 | 2015-11-03T19:35:19.000Z | 2015-11-03T19:35:19.000Z | hipshare/lib/util.py | erg0dic/hipshare | 993f0edee7e9156b7154d578ef6a4e50cfcdd632 | [
"BSD-2-Clause"
] | null | null | null | import json
import logging
import sys
log = logging.getLogger(__name__)
def die(s):
log.error(s)
sys.exit(-1)
def load_json(path):
try:
fp = open(path)
except OSError as err:
die("Could not open {}: {}".format(path, str(err)))
try:
value = json.load(fp)
except ValueEr... | 17.942857 | 60 | 0.598726 | 93 | 628 | 3.956989 | 0.473118 | 0.043478 | 0.043478 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004274 | 0.254777 | 628 | 34 | 61 | 18.470588 | 0.782051 | 0 | 0 | 0.153846 | 0 | 0 | 0.109873 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.115385 | 0.038462 | 0.423077 | 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 |
95f8d504586e0cc5968ca2a0c621d00c07ae2c40 | 2,078 | py | Python | p2_mahjong/utils.py | yata0/Mahjong | 764cd607df715b879f3f8a54b6def55e0b7d4706 | [
"MIT"
] | null | null | null | p2_mahjong/utils.py | yata0/Mahjong | 764cd607df715b879f3f8a54b6def55e0b7d4706 | [
"MIT"
] | null | null | null | p2_mahjong/utils.py | yata0/Mahjong | 764cd607df715b879f3f8a54b6def55e0b7d4706 | [
"MIT"
] | null | null | null | # coding=utf-8
import sys
import numpy as np
from p2_mahjong.card import MahjongCard as Card
log_head = "utils.py"
CARD_USED_TYPE = ['characters', 'green', 'red', 'white', 'east', 'west', 'north', 'south',
'spring', 'summer', 'autumn', 'winter', 'mei', 'lan', 'zhu', 'ju']
card_encoding_dict = {}
card... | 29.685714 | 90 | 0.590472 | 295 | 2,078 | 3.854237 | 0.267797 | 0.121372 | 0.055409 | 0.087951 | 0.420405 | 0.407212 | 0.359719 | 0.332454 | 0.332454 | 0.263852 | 0 | 0.016894 | 0.259384 | 2,078 | 69 | 91 | 30.115942 | 0.721897 | 0.005775 | 0 | 0.254237 | 0 | 0 | 0.112512 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016949 | false | 0 | 0.050847 | 0 | 0.084746 | 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 |
95fa5390eed432169e5e44214698604b6c85fcde | 1,062 | py | Python | Chapter 01/int_sqrt.py | bpbpublications/Python-Quick-Interview-Guide | ab4ff3e670b116a4db6b9e1f0ccba8424640704d | [
"MIT"
] | 1 | 2021-05-14T19:53:41.000Z | 2021-05-14T19:53:41.000Z | Chapter 01/int_sqrt.py | bpbpublications/Python-Quick-Interview-Guide | ab4ff3e670b116a4db6b9e1f0ccba8424640704d | [
"MIT"
] | null | null | null | Chapter 01/int_sqrt.py | bpbpublications/Python-Quick-Interview-Guide | ab4ff3e670b116a4db6b9e1f0ccba8424640704d | [
"MIT"
] | null | null | null |
class Solution:
def mySqrt(self, x: int) -> int:
# Base cases
if (x == 0 or x == 1):
return x
# Staring from 1, try all numbers until
# i*i remains less than to x.
i = 1
while (i*i < x):i += 1
return i if i*i == x else i-1
'''
cla... | 24.136364 | 62 | 0.415254 | 147 | 1,062 | 3 | 0.340136 | 0.056689 | 0.054422 | 0.099773 | 0.231293 | 0.231293 | 0.108844 | 0.108844 | 0.108844 | 0.108844 | 0 | 0.035971 | 0.47646 | 1,062 | 43 | 63 | 24.697674 | 0.757194 | 0.073446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.4 | 0.1 | 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 |
95ff75475d347ef322808cfa526e253df07b5f81 | 13,517 | py | Python | meg_runtime/ui/manager.py | MultimediaExtensibleGit/Runtime | ba2e469666163177034e44077b02378dfc6649c9 | [
"MIT"
] | null | null | null | meg_runtime/ui/manager.py | MultimediaExtensibleGit/Runtime | ba2e469666163177034e44077b02378dfc6649c9 | [
"MIT"
] | 5 | 2020-03-24T19:59:38.000Z | 2020-04-22T03:44:43.000Z | meg_runtime/ui/manager.py | MultimediaExtensibleGit/Runtime | ba2e469666163177034e44077b02378dfc6649c9 | [
"MIT"
] | 2 | 2020-03-13T18:35:46.000Z | 2020-04-11T20:19:20.000Z | """MEG UI Manager
"""
import pkg_resources
from PyQt5 import QtCore, QtWidgets, QtGui, uic
from meg_runtime.config import Config
from meg_runtime.logger import Logger
from meg_runtime.app import App
class UIManager(QtWidgets.QMainWindow):
"""Main UI manager for the MEG system."""
UI_FILE = 'mainwindow.ui'
... | 41.719136 | 134 | 0.600059 | 1,580 | 13,517 | 4.982278 | 0.13481 | 0.030488 | 0.021723 | 0.019563 | 0.322282 | 0.231453 | 0.19563 | 0.179497 | 0.167175 | 0.134909 | 0 | 0.001739 | 0.319154 | 13,517 | 323 | 135 | 41.848297 | 0.853635 | 0.203226 | 0 | 0.3125 | 0 | 0 | 0.042354 | 0.001981 | 0 | 0 | 0 | 0.003096 | 0 | 1 | 0.081731 | false | 0 | 0.024038 | 0 | 0.173077 | 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 |
2501aa9e0452052b19ad9fe91a29c5a969b9d03e | 1,935 | py | Python | release/davis16/evaluate.py | MSiam/segment-any-moving | 82cb782867d866d2f4eb68230edb75f613e15a02 | [
"Apache-2.0"
] | 70 | 2019-09-16T17:55:55.000Z | 2022-03-07T00:26:53.000Z | release/davis16/evaluate.py | MSiam/segment-any-moving | 82cb782867d866d2f4eb68230edb75f613e15a02 | [
"Apache-2.0"
] | 9 | 2019-09-30T09:15:11.000Z | 2021-07-21T11:33:13.000Z | release/davis16/evaluate.py | MSiam/segment-any-moving | 82cb782867d866d2f4eb68230edb75f613e15a02 | [
"Apache-2.0"
] | 5 | 2019-09-25T05:14:37.000Z | 2021-07-08T20:13:47.000Z | import argparse
import logging
import yaml
from pathlib import Path
from script_utils.common import common_setup
from release.davis16.compute_flow import link_splits
from release.helpers.misc import msg, subprocess_call
def check_tracks(track_output, splits):
for split in splits:
np_dir = track_output /... | 31.209677 | 74 | 0.632041 | 230 | 1,935 | 5.108696 | 0.452174 | 0.065532 | 0.017021 | 0.030638 | 0.057872 | 0.057872 | 0.057872 | 0 | 0 | 0 | 0 | 0.008862 | 0.24186 | 1,935 | 61 | 75 | 31.721311 | 0.792093 | 0.031525 | 0 | 0 | 0 | 0 | 0.198718 | 0.037927 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.155556 | 0 | 0.222222 | 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 |
2503cb791f9ad674e778396da993788db1fa44bb | 4,712 | py | Python | qq/mention.py | foxwhite25/qq.py | 92e744205e57b4c8922aa5843095ae900b3c1d84 | [
"MIT"
] | 40 | 2021-12-07T02:18:14.000Z | 2022-03-28T13:14:16.000Z | qq/mention.py | foxwhite25/qq.py | 92e744205e57b4c8922aa5843095ae900b3c1d84 | [
"MIT"
] | 2 | 2021-12-12T17:34:29.000Z | 2021-12-17T04:43:03.000Z | qq/mention.py | foxwhite25/qq.py | 92e744205e57b4c8922aa5843095ae900b3c1d84 | [
"MIT"
] | 5 | 2021-12-10T11:17:41.000Z | 2022-03-05T13:53:50.000Z | # The MIT License (MIT)
# Copyright (c) 2021-present foxwhite25
#
# 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, ... | 35.164179 | 102 | 0.655136 | 578 | 4,712 | 5.233564 | 0.3391 | 0.061818 | 0.019835 | 0.023802 | 0.044298 | 0.029091 | 0 | 0 | 0 | 0 | 0 | 0.001674 | 0.239389 | 4,712 | 133 | 103 | 35.428571 | 0.842355 | 0.423599 | 0 | 0.030303 | 0 | 0 | 0.089832 | 0.03211 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.075758 | 0.060606 | 0.378788 | 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 |
250a44eb50bdd484b59b76e217165e7deeb8a326 | 9,686 | py | Python | utils/iwr6843_utils/parse_tlv.py | ApocalyVec/mGesf | 21e0bf37a9d11a3cdde86a8d54e2f6c6a2211ab5 | [
"MIT"
] | 18 | 2020-06-02T11:21:47.000Z | 2022-03-25T08:16:57.000Z | utils/iwr6843_utils/parse_tlv.py | ApocalyVec/mGesf | 21e0bf37a9d11a3cdde86a8d54e2f6c6a2211ab5 | [
"MIT"
] | 4 | 2020-06-20T13:53:44.000Z | 2021-09-11T22:58:21.000Z | utils/iwr6843_utils/parse_tlv.py | ApocalyVec/mGesf | 21e0bf37a9d11a3cdde86a8d54e2f6c6a2211ab5 | [
"MIT"
] | 6 | 2020-04-23T21:30:17.000Z | 2021-08-03T19:59:12.000Z | import struct
import sys
import math
import numpy as np
#
# TODO 1: (NOW FIXED) Find the first occurrence of magic and start from there
# TODO 2: Warn if we cannot parse a specific section and try to recover
# TODO 3: Remove error at end of file if we have only fragment of TLV
#
def tlvHeaderDecode(data):
tlvT... | 39.056452 | 120 | 0.58218 | 1,171 | 9,686 | 4.708796 | 0.266439 | 0.035909 | 0.010881 | 0.015959 | 0.204933 | 0.14436 | 0.094305 | 0.081973 | 0.081973 | 0.081973 | 0 | 0.025237 | 0.312719 | 9,686 | 247 | 121 | 39.214575 | 0.803064 | 0.287735 | 0 | 0.134752 | 0 | 0 | 0.04371 | 0.01778 | 0 | 0 | 0 | 0.008097 | 0 | 1 | 0.070922 | false | 0.049645 | 0.028369 | 0.007092 | 0.198582 | 0.035461 | 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 |
250eb809dd09ad7a9b6aa51c271e231f078546da | 1,772 | py | Python | bunq/sdk/util/util.py | mwiekens/sdk_python | 9333636083bc63dca4353e8f497588f57617efec | [
"MIT"
] | null | null | null | bunq/sdk/util/util.py | mwiekens/sdk_python | 9333636083bc63dca4353e8f497588f57617efec | [
"MIT"
] | null | null | null | bunq/sdk/util/util.py | mwiekens/sdk_python | 9333636083bc63dca4353e8f497588f57617efec | [
"MIT"
] | null | null | null | from __future__ import annotations
import json
import socket
import requests
from bunq.sdk.context.api_context import ApiContext, ApiEnvironmentType
from bunq.sdk.exception.bunq_exception import BunqException
from bunq.sdk.http.api_client import ApiClient
from bunq.sdk.model.generated import endpoint
from bunq.sdk.m... | 34.076923 | 79 | 0.744921 | 205 | 1,772 | 5.980488 | 0.356098 | 0.089723 | 0.044861 | 0.041599 | 0.117455 | 0.076672 | 0.053834 | 0 | 0 | 0 | 0 | 0.000696 | 0.189052 | 1,772 | 51 | 80 | 34.745098 | 0.85247 | 0 | 0 | 0 | 0 | 0 | 0.046275 | 0.012415 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.243243 | 0 | 0.351351 | 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 |
2511753f88ea48953fbf7d9fff0197ffc5356c2e | 752 | py | Python | students/models/exams.py | samitnuk/studentsdb | 659c82f7bdc0d6a14074da14252384b9443e286c | [
"MIT"
] | null | null | null | students/models/exams.py | samitnuk/studentsdb | 659c82f7bdc0d6a14074da14252384b9443e286c | [
"MIT"
] | null | null | null | students/models/exams.py | samitnuk/studentsdb | 659c82f7bdc0d6a14074da14252384b9443e286c | [
"MIT"
] | null | null | null | from django.db import models
class Exam(models.Model):
"""Exam Model"""
class Meta(object):
verbose_name = 'Іспит'
verbose_name_plural = 'Іспити'
title = models.CharField(
max_length=256,
blank=False,
verbose_name='Назва предмету')
datetime = models.DateTimeF... | 22.117647 | 60 | 0.599734 | 83 | 752 | 5.253012 | 0.566265 | 0.151376 | 0.116972 | 0.144495 | 0.220183 | 0.220183 | 0.220183 | 0.220183 | 0.220183 | 0 | 0 | 0.011257 | 0.291223 | 752 | 33 | 61 | 22.787879 | 0.806754 | 0.013298 | 0 | 0.25 | 0 | 0 | 0.112772 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.041667 | 0.041667 | 0.375 | 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 |
25132e1264d30cca913fe293f3805c8d79177d9b | 2,201 | py | Python | club_crm/api/clubtour.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/api/clubtour.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/api/clubtour.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import frappe
from frappe import _
from datetime import datetime, timedelta, date, time
from frappe.utils import getdate, get_time, flt, now_datetime
from frappe.utils import escape_html
from frappe import throw, msgprint, _
@frappe.whitelist()
def get_schedule():
time_sched... | 33.348485 | 116 | 0.606997 | 265 | 2,201 | 4.818868 | 0.260377 | 0.050117 | 0.031323 | 0.042287 | 0.278778 | 0.234926 | 0.234926 | 0.170713 | 0.170713 | 0.170713 | 0 | 0.005471 | 0.252612 | 2,201 | 65 | 117 | 33.861538 | 0.770821 | 0 | 0 | 0.258621 | 0 | 0 | 0.17174 | 0.009995 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051724 | false | 0 | 0.12069 | 0 | 0.172414 | 0.017241 | 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 |
2513a6b22c946cb8b820c0695cdd317c638f6bf0 | 647 | py | Python | goalboost/model/__init__.py | JohnLockwood/Goalboost | 1556a15f766ab762243e5d198b00ee7239b20411 | [
"RSA-MD"
] | null | null | null | goalboost/model/__init__.py | JohnLockwood/Goalboost | 1556a15f766ab762243e5d198b00ee7239b20411 | [
"RSA-MD"
] | 10 | 2021-07-30T14:39:05.000Z | 2021-07-30T14:39:07.000Z | goalboost/model/__init__.py | JohnLockwood/Goalboost | 1556a15f766ab762243e5d198b00ee7239b20411 | [
"RSA-MD"
] | null | null | null | '''
goalboost.model package
The goalboost model package consists of MongoEngine models along with
Marshmallow schemas. MongoEngine is our database ORM to MongoDB,
and Marshmallow is a serialization library that helps us validate, consume,
and expose these Orm objects for clients that need it at the API layer.
For Mon... | 26.958333 | 75 | 0.789799 | 91 | 647 | 5.593407 | 0.637363 | 0.05501 | 0.082515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139104 | 647 | 23 | 76 | 28.130435 | 0.913824 | 0.795981 | 0 | 0 | 0 | 0 | 0 | 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 |
2513a8a764760e74306e494219df1291ea86952f | 3,290 | py | Python | examples/block_store/snapshots.py | IamFive/sdk-python | 223b04f90477f7de0f00b3e652d8672ba73271c8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | examples/block_store/snapshots.py | IamFive/sdk-python | 223b04f90477f7de0f00b3e652d8672ba73271c8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | examples/block_store/snapshots.py | IamFive/sdk-python | 223b04f90477f7de0f00b3e652d8672ba73271c8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2018 Huawei Technologies Co.,Ltd.
#
# 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... | 29.115044 | 89 | 0.614286 | 362 | 3,290 | 5.375691 | 0.312155 | 0.12333 | 0.071942 | 0.08222 | 0.452724 | 0.358171 | 0.29702 | 0.224049 | 0.213772 | 0.213772 | 0 | 0.021313 | 0.28693 | 3,290 | 112 | 90 | 29.375 | 0.808184 | 0.171733 | 0 | 0.367089 | 0 | 0 | 0.116519 | 0.013274 | 0 | 0 | 0 | 0 | 0 | 1 | 0.126582 | false | 0 | 0.012658 | 0 | 0.139241 | 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 |
2515ebed6d44cdb6e775f2b149da71a36b8ce3fa | 6,270 | py | Python | lambda_upload.py | elbursto/aws_lambda_upload | 62215a1efd7037cad2d099489c16fab905ccf2d3 | [
"Apache-2.0"
] | null | null | null | lambda_upload.py | elbursto/aws_lambda_upload | 62215a1efd7037cad2d099489c16fab905ccf2d3 | [
"Apache-2.0"
] | null | null | null | lambda_upload.py | elbursto/aws_lambda_upload | 62215a1efd7037cad2d099489c16fab905ccf2d3 | [
"Apache-2.0"
] | null | null | null |
import boto3
from zipfile import ZipFile
import argparse
import json
import os
import shutil
class LambdaMaker(object):
def __init__(self, config_file, working_dir):
# const vars
self.creator='TomLambdaCreator_v1.0.0'
os.chdir(working_dir)
self.process_config_file(config_file)
... | 33 | 79 | 0.601435 | 672 | 6,270 | 5.49256 | 0.258929 | 0.074776 | 0.017339 | 0.019507 | 0.072067 | 0.023842 | 0 | 0 | 0 | 0 | 0 | 0.007583 | 0.284848 | 6,270 | 189 | 80 | 33.174603 | 0.815566 | 0.081978 | 0 | 0.070423 | 0 | 0 | 0.111402 | 0.00401 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077465 | false | 0 | 0.042254 | 0 | 0.126761 | 0.042254 | 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 |
25166ab3132cfb837c187df9b62bcf91450b7109 | 6,260 | py | Python | official/vision/image_classification/callbacks.py | arayabrain/models | ceaa23c0ebecdb445d14f002cc66a39c50ac92e3 | [
"Apache-2.0"
] | null | null | null | official/vision/image_classification/callbacks.py | arayabrain/models | ceaa23c0ebecdb445d14f002cc66a39c50ac92e3 | [
"Apache-2.0"
] | 3 | 2020-08-12T06:16:40.000Z | 2020-08-17T05:44:26.000Z | official/vision/image_classification/callbacks.py | arayabrain/models | ceaa23c0ebecdb445d14f002cc66a39c50ac92e3 | [
"Apache-2.0"
] | 1 | 2020-08-04T01:56:03.000Z | 2020-08-04T01:56:03.000Z | # Lint as: python3
# Copyright 2019 The TensorFlow 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 the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 36.184971 | 103 | 0.684824 | 786 | 6,260 | 5.21374 | 0.315522 | 0.04124 | 0.035139 | 0.016105 | 0.127867 | 0.0898 | 0.015617 | 0 | 0 | 0 | 0 | 0.007137 | 0.216613 | 6,260 | 172 | 104 | 36.395349 | 0.828507 | 0.216454 | 0 | 0.063063 | 0 | 0 | 0.022291 | 0.004541 | 0 | 0 | 0 | 0.005814 | 0 | 1 | 0.063063 | false | 0 | 0.117117 | 0 | 0.225225 | 0.009009 | 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 |
2519a94caf6b2f931b487b3397703da9ddf2b842 | 885 | py | Python | EDyA_II/4_tree/python/4_default_parameter.py | jrg-sln/academy | 498c11dcfeab78dbbbb77045a13d7d6675c0d150 | [
"MIT"
] | null | null | null | EDyA_II/4_tree/python/4_default_parameter.py | jrg-sln/academy | 498c11dcfeab78dbbbb77045a13d7d6675c0d150 | [
"MIT"
] | null | null | null | EDyA_II/4_tree/python/4_default_parameter.py | jrg-sln/academy | 498c11dcfeab78dbbbb77045a13d7d6675c0d150 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
class Saucer(object):
"""
Representa un plato de comida.
"""
def __init__(self, cadNombre, realPrecio, cadDescription=None,
cadImagen=None, boolVegetariano=False, entCoccion=1):
self.nombre = cadNombre
self.precio = realPrecio
self.des... | 34.038462 | 75 | 0.59661 | 86 | 885 | 6.046512 | 0.569767 | 0.086538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009509 | 0.287006 | 885 | 26 | 76 | 34.038462 | 0.81458 | 0.059887 | 0 | 0 | 0 | 0 | 0.104039 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0.055556 | 0.222222 | 0.055556 | 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 |
2519e01a81d1d3e2c4f4e4fede4c19c82e764391 | 9,768 | py | Python | model/bdrar.py | Mhaiyang/iccv | 04a8ee52c2323d7ff5cdf03c0be1466e8180d2eb | [
"MIT"
] | 2 | 2019-01-10T03:44:03.000Z | 2019-05-24T08:50:14.000Z | model/bdrar.py | Mhaiyang/iccv | 04a8ee52c2323d7ff5cdf03c0be1466e8180d2eb | [
"MIT"
] | null | null | null | model/bdrar.py | Mhaiyang/iccv | 04a8ee52c2323d7ff5cdf03c0be1466e8180d2eb | [
"MIT"
] | null | null | null | import torch
import torch.nn.functional as F
from torch import nn
from resnext.resnext101_regular import ResNeXt101
class _AttentionModule(nn.Module):
def __init__(self):
super(_AttentionModule, self).__init__()
self.block1 = nn.Sequential(
nn.Conv2d(64, 64, 1, bias=False), nn.BatchNo... | 51.141361 | 135 | 0.619676 | 1,427 | 9,768 | 4.056762 | 0.06377 | 0.04975 | 0.064605 | 0.129211 | 0.617205 | 0.575056 | 0.507342 | 0.429608 | 0.373121 | 0.373121 | 0 | 0.098968 | 0.226249 | 9,768 | 190 | 136 | 51.410526 | 0.666975 | 0.011159 | 0 | 0.180124 | 0 | 0 | 0.013257 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024845 | false | 0 | 0.024845 | 0 | 0.080745 | 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 |
251a755eafd6983caca29826a579cc38212144dd | 7,413 | py | Python | pgeng/font.py | Bouncehball/pgeng | 6f88991e16cfd744c8565b68b6348f313b4d75c0 | [
"MIT"
] | null | null | null | pgeng/font.py | Bouncehball/pgeng | 6f88991e16cfd744c8565b68b6348f313b4d75c0 | [
"MIT"
] | null | null | null | pgeng/font.py | Bouncehball/pgeng | 6f88991e16cfd744c8565b68b6348f313b4d75c0 | [
"MIT"
] | null | null | null | 'Classes and functions for creating fonts and text buttons'
#IMPORTS
import pygame
from pathlib import Path
from .core import clip_surface, load_image
from .colour import palette_swap
#IMPORTS
#VARIALBES
__all__ = ['create_font', 'TextButton']
path = Path(__file__).resolve().parent
#VARIABLES
#CREATE_FON... | 37.439394 | 356 | 0.673816 | 1,139 | 7,413 | 4.225637 | 0.170325 | 0.041139 | 0.018907 | 0.030542 | 0.323914 | 0.288386 | 0.288386 | 0.275504 | 0.250987 | 0.250987 | 0 | 0.029494 | 0.181303 | 7,413 | 198 | 357 | 37.439394 | 0.763552 | 0.288008 | 0 | 0.23 | 0 | 0.03 | 0.117191 | 0.007761 | 0 | 0 | 0 | 0 | 0 | 1 | 0.11 | false | 0 | 0.04 | 0 | 0.27 | 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 |
251ac80cf768d166a984daeae7c4d2c5d7422487 | 1,814 | py | Python | pyguetzli/pil_image.py | wanadev/pyguetzli | 765cc89137e2f5fca80e5f894f4ec95c38995d96 | [
"Apache-2.0"
] | 28 | 2017-05-03T17:48:21.000Z | 2022-02-14T13:40:24.000Z | pyguetzli/pil_image.py | wanadev/pyguetzli | 765cc89137e2f5fca80e5f894f4ec95c38995d96 | [
"Apache-2.0"
] | 6 | 2017-08-21T07:52:18.000Z | 2020-07-17T16:41:44.000Z | pyguetzli/pil_image.py | wanadev/pyguetzli | 765cc89137e2f5fca80e5f894f4ec95c38995d96 | [
"Apache-2.0"
] | 3 | 2018-03-13T23:33:10.000Z | 2021-09-09T02:33:07.000Z | """
This modules contain helper function to deal with PIL / Pillow Images.
.. note::
Please note that the ``[PIL]`` (pillow) extra dependency must be installed
to allow functions from this module to work.
"""
from . import guetzli
def _to_pil_rgb_image(image):
"""Returns an PIL Image converted to the R... | 26.676471 | 79 | 0.656009 | 254 | 1,814 | 4.582677 | 0.370079 | 0.085911 | 0.033505 | 0.022337 | 0.304124 | 0.233677 | 0.233677 | 0.161512 | 0.161512 | 0.161512 | 0 | 0.012602 | 0.25634 | 1,814 | 67 | 80 | 27.074627 | 0.850259 | 0.588754 | 0 | 0 | 0 | 0 | 0.015291 | 0 | 0 | 0 | 0.018349 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.35 | 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 |
251cba64cfe05ed7cdba8439be4d154984b803ea | 12,053 | py | Python | src/dip_main.py | BardiaMojra/dip | 201bd14c13052b81967e051444f4e5c08c72631a | [
"MIT"
] | null | null | null | src/dip_main.py | BardiaMojra/dip | 201bd14c13052b81967e051444f4e5c08c72631a | [
"MIT"
] | null | null | null | src/dip_main.py | BardiaMojra/dip | 201bd14c13052b81967e051444f4e5c08c72631a | [
"MIT"
] | null | null | null | ''' dip
@author Bardia Mojra - 1000766739
@brief ee-5323 - project -
@date 10/31/21
code based on below YouTube tutorial and Pymotw.com documentation for socket mod.
@link https://www.youtube.com/watch?v=3QiPPX-KeSc
@link https://pymotw.com/2/socket/tcp.html
python socket module documentation
@link ht... | 31.064433 | 118 | 0.652867 | 1,937 | 12,053 | 3.867321 | 0.206505 | 0.012014 | 0.018022 | 0.018155 | 0.34428 | 0.28087 | 0.254172 | 0.240822 | 0.213056 | 0.204779 | 0 | 0.064702 | 0.208828 | 12,053 | 387 | 119 | 31.144703 | 0.720847 | 0.207085 | 0 | 0.213178 | 0 | 0.011628 | 0.064751 | 0.02069 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031008 | false | 0 | 0.05814 | 0 | 0.089147 | 0.015504 | 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 |
251d295ac1daf4f6c0aa7d07697c6e03ea7c9186 | 1,128 | py | Python | generator/apigen/CommandParser.py | grbd/GBD.Build.BlackJack | 3e8d027625b7528af3674a373fd9931e3feaaab4 | [
"Apache-2.0"
] | 1 | 2017-05-26T00:18:26.000Z | 2017-05-26T00:18:26.000Z | generator/apigen/CommandParser.py | grbd/GBD.Build.BlackJack | 3e8d027625b7528af3674a373fd9931e3feaaab4 | [
"Apache-2.0"
] | null | null | null | generator/apigen/CommandParser.py | grbd/GBD.Build.BlackJack | 3e8d027625b7528af3674a373fd9931e3feaaab4 | [
"Apache-2.0"
] | null | null | null | """
A Command parser to parse over each jinja template for a given cmake command
"""
import os
from apigen.Logger import Logger
from jinja2 import Environment, PackageLoader, FileSystemLoader
class CommandParser(object):
def __init__(self, cmdfile: str, env: Environment, outdir: str):
super().__init__()
... | 31.333333 | 76 | 0.675532 | 133 | 1,128 | 5.488722 | 0.503759 | 0.123288 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002323 | 0.236702 | 1,128 | 35 | 77 | 32.228571 | 0.845528 | 0.16844 | 0 | 0 | 0 | 0 | 0.016181 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.15 | 0 | 0.35 | 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 |
2521a1ac6de3b8964ba83ce10e729714793f678d | 2,578 | py | Python | cineapp/push.py | ptitoliv/cineapp | 4b6a8c68144436c5497353135a013ea783cfd224 | [
"MIT"
] | 2 | 2016-12-02T02:29:01.000Z | 2019-03-03T15:48:50.000Z | cineapp/push.py | ptitoliv/cineapp | 4b6a8c68144436c5497353135a013ea783cfd224 | [
"MIT"
] | 128 | 2016-05-22T21:44:20.000Z | 2022-03-11T23:14:18.000Z | cineapp/push.py | ptitoliv/cineapp | 4b6a8c68144436c5497353135a013ea783cfd224 | [
"MIT"
] | 1 | 2017-08-20T14:14:52.000Z | 2017-08-20T14:14:52.000Z | from __future__ import print_function
from cineapp import app, db, lm
from flask_login import login_required
from flask import jsonify, session, g, url_for, request
from pywebpush import webpush, WebPushException
from cineapp.models import PushNotification
import json, traceback, sys, datetime, time
from cineapp.auth i... | 39.060606 | 202 | 0.747867 | 350 | 2,578 | 5.382857 | 0.397143 | 0.033439 | 0.027601 | 0.02707 | 0.139066 | 0.139066 | 0.139066 | 0.139066 | 0.098726 | 0 | 0 | 0.002236 | 0.132661 | 2,578 | 65 | 203 | 39.661538 | 0.84034 | 0.069822 | 0 | 0.137255 | 0 | 0 | 0.255328 | 0.02967 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.156863 | 0 | 0.294118 | 0.078431 | 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 |
25249f6ffc68bd327fd5d0540e42e061ccc8880f | 4,577 | py | Python | Codes/trreemap.py | Pepeisadog/Project | 49d77b1590723f87111a0e3a64bd94fa4bb65986 | [
"Unlicense"
] | null | null | null | Codes/trreemap.py | Pepeisadog/Project | 49d77b1590723f87111a0e3a64bd94fa4bb65986 | [
"Unlicense"
] | 3 | 2015-01-12T09:33:30.000Z | 2015-01-29T22:56:47.000Z | Codes/trreemap.py | Pepeisadog/Project | 49d77b1590723f87111a0e3a64bd94fa4bb65986 | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 25 15:48:52 2015
@author: Sofia
"""
import csv
import json
import os
sourceEncoding = "iso-8859-1"
targetEncoding = "utf-8"
# encode files to utf8 (source: http://stackoverflow.com/questions/191359/how-to-convert-a-file-to-utf-8-in-python)
csvfile = open('..\Data\AMFI.... | 31.136054 | 125 | 0.622023 | 560 | 4,577 | 4.941071 | 0.228571 | 0.043368 | 0.020239 | 0.023853 | 0.284785 | 0.226961 | 0.179256 | 0.151428 | 0.151428 | 0.151428 | 0 | 0.015402 | 0.219795 | 4,577 | 146 | 126 | 31.349315 | 0.759451 | 0.095259 | 0 | 0.132653 | 0 | 0 | 0.16861 | 0.055637 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.030612 | 0 | 0.030612 | 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 |
2526119172205dbcc83b912e56e47b1cfd9d139b | 3,751 | py | Python | test_haystack/whoosh_tests/test_whoosh_management_commands.py | cbows/django-haystack | 80c154b7b11fdcf99dd2ef0e82342ed13e26053a | [
"BSD-3-Clause"
] | 2,021 | 2015-02-06T07:45:08.000Z | 2022-03-30T12:26:39.000Z | test_haystack/whoosh_tests/test_whoosh_management_commands.py | cbows/django-haystack | 80c154b7b11fdcf99dd2ef0e82342ed13e26053a | [
"BSD-3-Clause"
] | 787 | 2015-02-03T20:06:04.000Z | 2022-03-30T09:00:38.000Z | test_haystack/whoosh_tests/test_whoosh_management_commands.py | cbows/django-haystack | 80c154b7b11fdcf99dd2ef0e82342ed13e26053a | [
"BSD-3-Clause"
] | 878 | 2015-02-04T15:29:50.000Z | 2022-03-28T16:51:44.000Z | import datetime
import os
import unittest
from io import StringIO
from tempfile import mkdtemp
from unittest.mock import patch
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.core.management import call_command as real_call_command
from django.core.management.base i... | 33.491071 | 84 | 0.691816 | 454 | 3,751 | 5.517621 | 0.292952 | 0.061477 | 0.074651 | 0.071856 | 0.351697 | 0.33014 | 0.312974 | 0.291816 | 0.272655 | 0.253094 | 0 | 0.009109 | 0.209811 | 3,751 | 111 | 85 | 33.792793 | 0.83502 | 0.039989 | 0 | 0.2625 | 0 | 0 | 0.050654 | 0 | 0 | 0 | 0 | 0 | 0.0375 | 1 | 0.1 | false | 0 | 0.2125 | 0 | 0.3375 | 0.0125 | 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 |
25282fa8805725b2acc31f9c959840083384e1e2 | 2,977 | py | Python | src/server.py | tyler-fishbone/http_server | 93a49090d356b31522acd5bc3a25a1c8a3b604e3 | [
"MIT"
] | null | null | null | src/server.py | tyler-fishbone/http_server | 93a49090d356b31522acd5bc3a25a1c8a3b604e3 | [
"MIT"
] | null | null | null | src/server.py | tyler-fishbone/http_server | 93a49090d356b31522acd5bc3a25a1c8a3b604e3 | [
"MIT"
] | null | null | null | from http.server import HTTPServer, BaseHTTPRequestHandler
from urllib.parse import urlparse, parse_qs
from cowpy import cow
import json
import sys
class SimpleHTTPRequestHandler(BaseHTTPRequestHandler):
def do_GET(self):
parsed_path = urlparse(self.path)
parsed_qs = parse_qs(parsed_path.query)
... | 26.114035 | 76 | 0.543164 | 318 | 2,977 | 4.915094 | 0.320755 | 0.051184 | 0.071657 | 0.080614 | 0.506718 | 0.414587 | 0.414587 | 0.395393 | 0.395393 | 0.336532 | 0 | 0.01998 | 0.344306 | 2,977 | 113 | 77 | 26.345133 | 0.780738 | 0.02217 | 0 | 0.431818 | 0 | 0 | 0.155487 | 0.01032 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056818 | false | 0 | 0.056818 | 0.022727 | 0.215909 | 0.022727 | 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 |
2529f17c13ced51c4629d6195cff0d46c5800cac | 7,033 | py | Python | Chapter06/6B_TrendFollowings/6B_3_RunCNN.py | uyenphuong18406/Hands-On-Artificial-Intelligence-for-Banking | 3a10a14194368478bb8b78d3d17e9c6a7b7253db | [
"MIT"
] | 115 | 2020-06-18T15:00:58.000Z | 2022-03-02T10:13:19.000Z | Chapter06/6B_TrendFollowings/6B_3_RunCNN.py | uyenphuong18406/Hands-On-Artificial-Intelligence-for-Banking | 3a10a14194368478bb8b78d3d17e9c6a7b7253db | [
"MIT"
] | 2 | 2020-11-06T11:02:31.000Z | 2021-01-22T12:44:35.000Z | Chapter06/6B_TrendFollowings/6B_3_RunCNN.py | uyenphuong18406/Hands-On-Artificial-Intelligence-for-Banking | 3a10a14194368478bb8b78d3d17e9c6a7b7253db | [
"MIT"
] | 60 | 2020-07-22T14:53:10.000Z | 2022-03-23T10:17:59.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 30 00:58:34 2018
@author: jeff
"""
'''*************************************
#1. Import libraries and key varable values
'''
import os
import quandl
import pandas as pd
import numpy as np
import keras
from PIL import Image
#folder path
folder_path =... | 32.560185 | 187 | 0.624485 | 1,183 | 7,033 | 3.404903 | 0.215554 | 0.092105 | 0.079196 | 0.038729 | 0.377855 | 0.353029 | 0.303625 | 0.269861 | 0.269861 | 0.244538 | 0 | 0.032056 | 0.22821 | 7,033 | 215 | 188 | 32.711628 | 0.710022 | 0.158538 | 0 | 0.125926 | 0 | 0 | 0.070989 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007407 | false | 0 | 0.044444 | 0 | 0.059259 | 0.081481 | 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 |
252ac1c22921db6597accc034da434758be4405a | 2,589 | py | Python | lichee/dataset/field_parser/image_local_path.py | Tencent/Lichee | 7653becd6fbf8b0715f788af3c0507c012be08b4 | [
"Apache-2.0"
] | 91 | 2021-10-30T02:25:05.000Z | 2022-03-28T06:51:52.000Z | lichee/dataset/field_parser/image_local_path.py | zhaijunyu/Lichee | 7653becd6fbf8b0715f788af3c0507c012be08b4 | [
"Apache-2.0"
] | 1 | 2021-12-17T09:30:25.000Z | 2022-03-05T12:30:13.000Z | lichee/dataset/field_parser/image_local_path.py | zhaijunyu/Lichee | 7653becd6fbf8b0715f788af3c0507c012be08b4 | [
"Apache-2.0"
] | 17 | 2021-11-04T07:50:23.000Z | 2022-03-24T14:24:11.000Z | # -*- coding: utf-8 -*-
from lichee import plugin
from .field_parser_base import BaseFieldParser
import os
from PIL import Image
from torchvision import transforms
import torch
from lichee.utils import storage
@plugin.register_plugin(plugin.PluginType.FIELD_PARSER, "image_local_path")
class ImgDataFieldParser(BaseFie... | 30.821429 | 117 | 0.611047 | 315 | 2,589 | 4.901587 | 0.374603 | 0.036269 | 0.027202 | 0.033679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014618 | 0.286597 | 2,589 | 83 | 118 | 31.192771 | 0.821332 | 0.288142 | 0 | 0.1 | 0 | 0 | 0.043929 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.175 | 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 |
252b421527774d5fb18e906562e999ce4cef4de4 | 2,054 | py | Python | models/inception.py | ildoonet/kaggle-human-protein-atlas-image-classification | 9faedaf6e480712492ccfb36c7bdf5e9f7db8b41 | [
"Apache-2.0"
] | 35 | 2019-01-11T00:55:19.000Z | 2021-07-14T11:44:10.000Z | models/inception.py | ildoonet/kaggle-human-protein-atlas-image-classification | 9faedaf6e480712492ccfb36c7bdf5e9f7db8b41 | [
"Apache-2.0"
] | null | null | null | models/inception.py | ildoonet/kaggle-human-protein-atlas-image-classification | 9faedaf6e480712492ccfb36c7bdf5e9f7db8b41 | [
"Apache-2.0"
] | 9 | 2019-01-11T01:42:14.000Z | 2020-03-02T05:47:18.000Z | import torch
from torch import nn
import torch.nn.functional as F
import torchvision
from torchvision.models.inception import BasicConv2d, InceptionAux
import pretrainedmodels
from common import num_class
class InceptionV3(nn.Module):
def __init__(self, pre=True):
super().__init__()
self.encoder ... | 36.035088 | 108 | 0.595424 | 275 | 2,054 | 4.309091 | 0.290909 | 0.10211 | 0.029536 | 0.047257 | 0.527426 | 0.490295 | 0.490295 | 0.490295 | 0.452321 | 0.452321 | 0 | 0.050196 | 0.253165 | 2,054 | 56 | 109 | 36.678571 | 0.722295 | 0.038462 | 0 | 0.347826 | 0 | 0 | 0.022819 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0.021739 | 0.152174 | 0 | 0.326087 | 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 |
252f0a3cb8c24df7cf5db2bc1599071146727275 | 1,238 | py | Python | Problem001.py | DimitrisMantas/ProjectEuler | 69b647232729a2d2a38ea08d1214616a861046cf | [
"Apache-2.0"
] | null | null | null | Problem001.py | DimitrisMantas/ProjectEuler | 69b647232729a2d2a38ea08d1214616a861046cf | [
"Apache-2.0"
] | null | null | null | Problem001.py | DimitrisMantas/ProjectEuler | 69b647232729a2d2a38ea08d1214616a861046cf | [
"Apache-2.0"
] | null | null | null | """This is the solution to Problem 1 of Project Euler."""
"""Copyright 2021 Dimitris Mantas"""
import time
def compute_all_multiples(of_number, below_number):
"""Compute all natural numbers, which are multiples of a natural number below a predefined number."""
# Register the list of said multiple... | 30.195122 | 109 | 0.673667 | 171 | 1,238 | 4.748538 | 0.450292 | 0.073892 | 0.116995 | 0.039409 | 0.081281 | 0.081281 | 0 | 0 | 0 | 0 | 0 | 0.026539 | 0.239095 | 1,238 | 40 | 110 | 30.95 | 0.835456 | 0.493538 | 0 | 0 | 0 | 0 | 0.088512 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.230769 | 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 |
2533ae4893b1c779f4471ef4511dd0dbc0e4068c | 3,701 | py | Python | 03_queue/queue_xrh.py | Xinrihui/Data-Structure-and-Algrithms | fa3a455f64878e42d033c1fd8d612f108c71fb72 | [
"Apache-2.0"
] | 1 | 2021-08-13T10:55:33.000Z | 2021-08-13T10:55:33.000Z | 03_queue/queue_xrh.py | Xinrihui/Data-Structure-and-Algrithms | fa3a455f64878e42d033c1fd8d612f108c71fb72 | [
"Apache-2.0"
] | null | null | null | 03_queue/queue_xrh.py | Xinrihui/Data-Structure-and-Algrithms | fa3a455f64878e42d033c1fd8d612f108c71fb72 | [
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import timeit
import numpy as np
import sys
import random as rand
class Queue_array:
"""
顺序队列
"""
def __init__(self,capacity):
self._items = [None]*(capacity+1) #最后一个位置 空置
self._capacity = capacity
self._head = 0
self._tail... | 19.276042 | 87 | 0.518779 | 433 | 3,701 | 4.210162 | 0.21709 | 0.083379 | 0.071311 | 0.055952 | 0.641251 | 0.568843 | 0.49424 | 0.450905 | 0.407021 | 0.333516 | 0 | 0.009042 | 0.34261 | 3,701 | 191 | 88 | 19.376963 | 0.740238 | 0.168873 | 0 | 0.551724 | 0 | 0 | 0.047502 | 0 | 0 | 0 | 0 | 0.005236 | 0 | 1 | 0.114943 | false | 0 | 0.045977 | 0.011494 | 0.344828 | 0.126437 | 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 |
253438c9cde5237ab336b6ebc0e8e1089525b6e7 | 1,703 | py | Python | domains/gym_craft/tests/plotting.py | AndrewPaulChester/sage-code | 9fe676bfbcbc6f642eca29b30a1027fba2a426a0 | [
"MIT"
] | null | null | null | domains/gym_craft/tests/plotting.py | AndrewPaulChester/sage-code | 9fe676bfbcbc6f642eca29b30a1027fba2a426a0 | [
"MIT"
] | null | null | null | domains/gym_craft/tests/plotting.py | AndrewPaulChester/sage-code | 9fe676bfbcbc6f642eca29b30a1027fba2a426a0 | [
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot as plt
import math
MAX_SPEED = 2
ACCELERATION = 0.5
DRAG = 0.3
TURN_SPEED=5
IMAGE = np.array([
[0,0,0,1,0,0,0],
[0,0,1,1,1,0,0],
[0,1,1,1,1,1,0],
[1,1,1,1,1,1,1],
[0,1,1,1,1,1,0],
[0,0,1,1,1,0,0],
[0,0,0,1,0,0,0]])
def main():
position=(42 ,42)
speed=0
bear... | 22.706667 | 81 | 0.613623 | 299 | 1,703 | 3.397993 | 0.247492 | 0.03937 | 0.038386 | 0.031496 | 0.294291 | 0.107283 | 0.048228 | 0.036417 | 0.036417 | 0.018701 | 0 | 0.08841 | 0.20963 | 1,703 | 75 | 82 | 22.706667 | 0.666419 | 0.015854 | 0 | 0.101695 | 0 | 0 | 0.025687 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067797 | false | 0 | 0.050847 | 0 | 0.152542 | 0.033898 | 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 |
25388135b2590bec6c24b4f712d9da835c81c62b | 4,338 | py | Python | pysplit/clusgroup.py | haochiche/pysplit | df6f8ebe93dd81ff8925529b8dfaaea2f446f2e5 | [
"BSD-3-Clause"
] | 110 | 2015-07-12T15:13:18.000Z | 2022-03-28T00:58:59.000Z | pysplit/clusgroup.py | haochiche/pysplit | df6f8ebe93dd81ff8925529b8dfaaea2f446f2e5 | [
"BSD-3-Clause"
] | 70 | 2016-02-23T03:19:55.000Z | 2022-03-14T09:12:43.000Z | pysplit/clusgroup.py | haochiche/pysplit | df6f8ebe93dd81ff8925529b8dfaaea2f446f2e5 | [
"BSD-3-Clause"
] | 66 | 2015-07-10T20:43:30.000Z | 2022-02-18T01:00:33.000Z | from __future__ import division, print_function
from .trajgroup import TrajectoryGroup
from .hypath import HyPath
from .hygroup import HyGroup
def print_clusterprocedure():
"""Print clustering guide."""
print("""
In ``PySPLIT``
1. Create ``TrajectoryGroup`` with desired set of trajectorie... | 27.807692 | 79 | 0.574919 | 408 | 4,338 | 5.985294 | 0.382353 | 0.02457 | 0.009009 | 0.022113 | 0.174447 | 0.156429 | 0.085176 | 0.045864 | 0 | 0 | 0 | 0.003659 | 0.307054 | 4,338 | 155 | 80 | 27.987097 | 0.808716 | 0.397418 | 0 | 0.122449 | 0 | 0 | 0.296786 | 0.015595 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.020408 | 0.081633 | 0 | 0.346939 | 0.061224 | 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 |
253a183c509b499df726c22fb7b3ee45b370c6ff | 2,424 | py | Python | bin/lkft_notify_developer.py | roxell/lkft-tools | bd1981b1f616114cb260878fe7319753107e581b | [
"MIT"
] | 3 | 2018-12-14T02:37:10.000Z | 2020-04-30T19:07:01.000Z | bin/lkft_notify_developer.py | roxell/lkft-tools | bd1981b1f616114cb260878fe7319753107e581b | [
"MIT"
] | 25 | 2018-07-27T13:38:17.000Z | 2021-10-05T13:01:36.000Z | bin/lkft_notify_developer.py | roxell/lkft-tools | bd1981b1f616114cb260878fe7319753107e581b | [
"MIT"
] | 12 | 2018-07-09T22:52:32.000Z | 2021-11-29T19:45:33.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import os
import re
import requests
import sys
sys.path.append(os.path.join(sys.path[0], "../", "lib"))
import lkft_squad_client # noqa: E402
def get_branch_from_make_kernelversion(make_kernelversion):
"""
IN: "4.4.118"
OUT: "4.4"
... | 28.186047 | 86 | 0.664604 | 318 | 2,424 | 4.820755 | 0.336478 | 0.039139 | 0.039139 | 0.009785 | 0.068493 | 0.029354 | 0 | 0 | 0 | 0 | 0 | 0.011948 | 0.205858 | 2,424 | 85 | 87 | 28.517647 | 0.784416 | 0.105198 | 0 | 0 | 0 | 0 | 0.12894 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0 | 0.12 | 0 | 0.26 | 0.06 | 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 |
253c3b4e7dd3233e756d0a0d7809bcec3e7f9d2a | 1,507 | py | Python | day_3.py | bastoche/adventofcode2017 | a93ecff1de78376b03d4c922c82dff96574f2466 | [
"MIT"
] | null | null | null | day_3.py | bastoche/adventofcode2017 | a93ecff1de78376b03d4c922c82dff96574f2466 | [
"MIT"
] | null | null | null | day_3.py | bastoche/adventofcode2017 | a93ecff1de78376b03d4c922c82dff96574f2466 | [
"MIT"
] | null | null | null | from math import ceil, sqrt
def part_one(input):
circle_index = get_circle_index(input)
circle_zero = get_circle_zero(circle_index)
cardinal_points = get_cardinal_points(circle_index, circle_zero)
distance_to_closest_cardinal_point = compute_distance_to_closest_cardinal_point(input, cardinal_points)
... | 25.542373 | 119 | 0.639681 | 238 | 1,507 | 3.777311 | 0.205882 | 0.026696 | 0.07564 | 0.111235 | 0.467186 | 0.288098 | 0.288098 | 0.20356 | 0.193548 | 0.193548 | 0 | 0.02627 | 0.242203 | 1,507 | 58 | 120 | 25.982759 | 0.760946 | 0 | 0 | 0 | 0 | 0 | 0.005309 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.175 | false | 0 | 0.025 | 0.1 | 0.475 | 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 |
253e8b5989062bd43d076499f35aace1547716ff | 2,395 | py | Python | src/pysqldump/domain/manager.py | tongyeouki/sql-converter | 28039fe16b43f443925447d06d682f6aa8c3a909 | [
"MIT"
] | 1 | 2020-06-12T03:32:35.000Z | 2020-06-12T03:32:35.000Z | src/pysqldump/domain/manager.py | tongyeouki/sql-converter | 28039fe16b43f443925447d06d682f6aa8c3a909 | [
"MIT"
] | null | null | null | src/pysqldump/domain/manager.py | tongyeouki/sql-converter | 28039fe16b43f443925447d06d682f6aa8c3a909 | [
"MIT"
] | 1 | 2020-06-12T03:32:15.000Z | 2020-06-12T03:32:15.000Z | from typing import Optional
from pysqldump.domain.formatters import (
CSVFormatter,
DictFormatter,
JsonFormatter,
ConsoleFormatter,
)
from pysqldump.settings.base import get_config
config = get_config()
class File:
def __init__(self, filename):
self.filename = filename
def get_exten... | 29.567901 | 84 | 0.617954 | 264 | 2,395 | 5.44697 | 0.212121 | 0.108484 | 0.041725 | 0.052851 | 0.194715 | 0.194715 | 0.194715 | 0.150209 | 0.150209 | 0.150209 | 0 | 0.000579 | 0.279332 | 2,395 | 80 | 85 | 29.9375 | 0.832561 | 0 | 0 | 0.169231 | 0 | 0 | 0.0238 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.046154 | 0.015385 | 0.476923 | 0.2 | 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 |
25405166ea1f14ffbb145a0fad72cb35236d7ab6 | 605 | py | Python | Mortgage Calculator.py | BokijonovM/Projects | 7c032f872aaa4bdf0fba100385019c6058c3c8fb | [
"BSD-2-Clause"
] | 1 | 2021-03-18T08:12:15.000Z | 2021-03-18T08:12:15.000Z | Mortgage Calculator.py | BokijonovM/Python_Projects | 7c032f872aaa4bdf0fba100385019c6058c3c8fb | [
"BSD-2-Clause"
] | null | null | null | Mortgage Calculator.py | BokijonovM/Python_Projects | 7c032f872aaa4bdf0fba100385019c6058c3c8fb | [
"BSD-2-Clause"
] | null | null | null | """**Mortgage Calculator** -
Calculate the monthly payments of a fixed term mortgage
over given Nth terms at a given interest rate. Also figure
out how long it will take the user to pay back the loan."""
months = int(input("Enter mortgage term (in months): "))
rate = float(input("Enter interest rate (in %): ... | 37.8125 | 127 | 0.661157 | 90 | 605 | 4.411111 | 0.522222 | 0.09068 | 0.075567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024691 | 0.196694 | 605 | 15 | 128 | 40.333333 | 0.792181 | 0.330579 | 0 | 0 | 0 | 0 | 0.409922 | 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 |
2545a6ce4bad291b2182fea9564fd36668358b01 | 660 | py | Python | scrapingData/scraping.py | karumo10/coursesel-helper | deb7e52a7bfe1fc41cd630d5a2cbe96fa089d986 | [
"MIT"
] | null | null | null | scrapingData/scraping.py | karumo10/coursesel-helper | deb7e52a7bfe1fc41cd630d5a2cbe96fa089d986 | [
"MIT"
] | null | null | null | scrapingData/scraping.py | karumo10/coursesel-helper | deb7e52a7bfe1fc41cd630d5a2cbe96fa089d986 | [
"MIT"
] | null | null | null | from requests_html import HTMLSession
import os
import sys
writeFileName = "courseLinks.out"
writeFileStream = open(writeFileName,'w',encoding='utf-8')
session = HTMLSession()
url = 'https://www.ji.sjtu.edu.cn/academics/courses/courses-by-number/'
r = session.get(url)
for i in range(2,100):
sel = '... | 24.444444 | 72 | 0.636364 | 85 | 660 | 4.917647 | 0.705882 | 0.086124 | 0.095694 | 0.110048 | 0.133971 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013514 | 0.215152 | 660 | 26 | 73 | 25.384615 | 0.793436 | 0.078788 | 0 | 0 | 0 | 0.058824 | 0.219723 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.176471 | 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 |
254a5b1fda824a925564dbbe740873888025ca2b | 7,655 | py | Python | jukebot/cogs/gametime.py | Kommotion/Jukebot | 4e50342b914ff6b91fd78802900d1e24bee946db | [
"MIT"
] | 1 | 2021-07-26T02:44:00.000Z | 2021-07-26T02:44:00.000Z | jukebot/cogs/gametime.py | Kommotion/Jukebot | 4e50342b914ff6b91fd78802900d1e24bee946db | [
"MIT"
] | null | null | null | jukebot/cogs/gametime.py | Kommotion/Jukebot | 4e50342b914ff6b91fd78802900d1e24bee946db | [
"MIT"
] | null | null | null | import logging
import discord
from datetime import datetime
from discord.ext import tasks, commands
from discord.ext.commands import Cog
from cogs.utils.utils import json_io_dump, json_io_load
log = logging.getLogger(__name__)
STATUS = 'status'
TIME_STARTED = 'time_started'
NAME = 'name'
GAMES = 'games'
NONE = 'none'... | 40.502646 | 142 | 0.617897 | 963 | 7,655 | 4.796469 | 0.220145 | 0.081186 | 0.035722 | 0.057588 | 0.22992 | 0.164105 | 0.107383 | 0.039402 | 0.039402 | 0.039402 | 0 | 0.01806 | 0.276682 | 7,655 | 188 | 143 | 40.718085 | 0.816146 | 0.169432 | 0 | 0.019802 | 0 | 0.009901 | 0.086575 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039604 | false | 0 | 0.059406 | 0 | 0.138614 | 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 |
254ca1af527eda83d904a3bb25f7ec725799bb3b | 2,578 | py | Python | transformy/conversion/_pyqtgraph.py | AllenInstitute/transformy | 17c769857d0cb05ad252ab684dec9eadb61a7c59 | [
"BSD-3-Clause"
] | 1 | 2021-06-22T18:06:06.000Z | 2021-06-22T18:06:06.000Z | transformy/conversion/_pyqtgraph.py | AllenInstitute/transformy | 17c769857d0cb05ad252ab684dec9eadb61a7c59 | [
"BSD-3-Clause"
] | null | null | null | transformy/conversion/_pyqtgraph.py | AllenInstitute/transformy | 17c769857d0cb05ad252ab684dec9eadb61a7c59 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from .converter import TransformConverter
from .. import linear
class PyqtgraphTransformConverter(TransformConverter):
name = 'pyqtgraph'
def __init__(self):
try:
import pyqtgraph
self._import_error = None
except ImportError as exc:
s... | 34.837838 | 114 | 0.564779 | 295 | 2,578 | 4.8 | 0.247458 | 0.033898 | 0.008475 | 0.032486 | 0.324859 | 0.276836 | 0.208333 | 0.185028 | 0.185028 | 0.185028 | 0 | 0.033792 | 0.322731 | 2,578 | 73 | 115 | 35.315068 | 0.777205 | 0.038402 | 0 | 0.274194 | 0 | 0 | 0.060985 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.145161 | 0.016129 | 0.403226 | 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 |
25507a35dbe62df6d608b962eb29203e902472af | 5,018 | py | Python | src/means/io/sbml.py | nicktimko/means | fe164916a1d84ab2a4fa039871d38ccdf638b1db | [
"MIT"
] | 10 | 2016-05-25T08:28:39.000Z | 2020-06-04T03:19:50.000Z | src/means/io/sbml.py | nicktimko/means | fe164916a1d84ab2a4fa039871d38ccdf638b1db | [
"MIT"
] | 5 | 2015-12-08T14:01:15.000Z | 2020-01-10T22:42:18.000Z | src/means/io/sbml.py | nicktimko/means | fe164916a1d84ab2a4fa039871d38ccdf638b1db | [
"MIT"
] | 6 | 2015-12-10T17:24:11.000Z | 2021-03-22T16:12:17.000Z | from collections import namedtuple
import os
import sympy
import numpy as np
from means.core.model import Model
_Reaction = namedtuple('_REACTION', ['id', 'reactants', 'products', 'propensity', 'parameters'])
def _sbml_like_piecewise(*args):
if len(args) % 2 == 1:
# Add a final True element you can skip ... | 40.144 | 115 | 0.682742 | 603 | 5,018 | 5.527363 | 0.31675 | 0.040504 | 0.016502 | 0.012001 | 0.081008 | 0.070207 | 0.039004 | 0.039004 | 0.039004 | 0 | 0 | 0.0036 | 0.22499 | 5,018 | 125 | 116 | 40.144 | 0.853433 | 0.190514 | 0 | 0.050633 | 0 | 0 | 0.036273 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050633 | false | 0 | 0.075949 | 0 | 0.177215 | 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 |
2551cc7f888a7265ce1f8beeca110b9348759577 | 1,123 | py | Python | clrenv/tests/test_path.py | color/clrenv | e11b67fcce129a4c828b6d7b421d9f2eac58785b | [
"MIT"
] | 2 | 2019-12-04T05:38:17.000Z | 2022-02-17T06:24:23.000Z | clrenv/tests/test_path.py | color/clrenv | e11b67fcce129a4c828b6d7b421d9f2eac58785b | [
"MIT"
] | 9 | 2019-11-11T20:01:11.000Z | 2021-09-30T00:41:52.000Z | clrenv/tests/test_path.py | color/clrenv | e11b67fcce129a4c828b6d7b421d9f2eac58785b | [
"MIT"
] | 4 | 2017-08-24T00:00:34.000Z | 2021-06-25T16:41:20.000Z | import pytest
import clrenv
@pytest.fixture(autouse=True)
def clear_overlay_path(monkeypatch):
monkeypatch.setenv("CLRENV_OVERLAY_PATH", "")
def test_custom_base(tmp_path, monkeypatch):
custom_path = tmp_path / "custom/path"
custom_path.parent.mkdir()
custom_path.write_text("data")
monkeypatch.... | 27.390244 | 81 | 0.715049 | 140 | 1,123 | 5.407143 | 0.264286 | 0.073976 | 0.151915 | 0.107001 | 0.332893 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011702 | 0.162956 | 1,123 | 40 | 82 | 28.075 | 0.793617 | 0 | 0 | 0 | 0 | 0 | 0.13179 | 0.027605 | 0 | 0 | 0 | 0 | 0.068966 | 1 | 0.137931 | false | 0 | 0.068966 | 0 | 0.206897 | 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 |
25536ba36fdcd55ea907e174eeadb755910513a2 | 2,583 | py | Python | utils/convert_codah.py | Longday0923/CODAH_Baseline | e9e331452a12c85e35969833cbfc824d6c0256c1 | [
"MIT"
] | null | null | null | utils/convert_codah.py | Longday0923/CODAH_Baseline | e9e331452a12c85e35969833cbfc824d6c0256c1 | [
"MIT"
] | null | null | null | utils/convert_codah.py | Longday0923/CODAH_Baseline | e9e331452a12c85e35969833cbfc824d6c0256c1 | [
"MIT"
] | null | null | null | import random
import pandas as pd
import numpy as np
import json
from tqdm import *
def split(full_list, shuffle=False, ratio=0.2):
n_total = len(full_list)
offset = int(n_total * ratio)
if n_total == 0 or offset < 1:
return [], full_list
if shuffle:
random.shuffle(full_list)
subli... | 37.434783 | 99 | 0.684863 | 363 | 2,583 | 4.608815 | 0.278237 | 0.038255 | 0.041841 | 0.068739 | 0.109982 | 0.050209 | 0.050209 | 0 | 0 | 0 | 0 | 0.015957 | 0.199381 | 2,583 | 68 | 100 | 37.985294 | 0.793037 | 0.187379 | 0 | 0 | 0 | 0 | 0.12823 | 0.029187 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078431 | false | 0 | 0.098039 | 0 | 0.254902 | 0.078431 | 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 |
25541a58e6ade5999bf8649b87e0a951c63912f5 | 3,237 | py | Python | new_imgt_scraping/new_imgt/new_imgt/spiders/new_imgt_spider.py | yaosichao0915/DeepImmuno | a2a7832f6cded9296735475c2e8fa5c9b62b3f8d | [
"MIT"
] | 20 | 2020-12-28T03:34:34.000Z | 2022-03-14T01:36:52.000Z | new_imgt_scraping/new_imgt/new_imgt/spiders/new_imgt_spider.py | zhangjiahuan17/DeepImmuno | 5ab182429bc3276fd43be2ec8d86b72e773992ef | [
"MIT"
] | 3 | 2021-04-23T19:21:11.000Z | 2021-08-22T00:39:01.000Z | new_imgt_scraping/new_imgt/new_imgt/spiders/new_imgt_spider.py | zhangjiahuan17/DeepImmuno | 5ab182429bc3276fd43be2ec8d86b72e773992ef | [
"MIT"
] | 11 | 2021-04-23T16:46:29.000Z | 2022-03-18T15:53:55.000Z | '''
pip install Scrapy
pip install selenium
In a folder:
scrapy startproject imgt
when running:
scrapy crawl new_imgt -o out.json
when using scrapy shell:
scrapy shell 'url'
in Ipython, you can use response.xpath or response.css to try out
object:
1. selectorlist if css('a') and there are ... | 33.030612 | 139 | 0.666976 | 467 | 3,237 | 4.526767 | 0.426124 | 0.033113 | 0.019868 | 0.025544 | 0.129139 | 0.129139 | 0.070956 | 0 | 0 | 0 | 0 | 0.011691 | 0.207291 | 3,237 | 98 | 140 | 33.030612 | 0.812159 | 0.279271 | 0 | 0 | 0 | 0 | 0.190476 | 0.064986 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0 | 0.121212 | 0 | 0.363636 | 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 |
25582a95ad549fbb53f7bc9394341328228fcce8 | 38,786 | py | Python | Base/opcode_tab.py | robertmuth/Cwerg | fdf30b06c93b4620c0a45b448b6d92acb81c35f0 | [
"Apache-2.0"
] | 171 | 2020-01-30T16:58:07.000Z | 2022-03-27T22:12:17.000Z | Base/opcode_tab.py | robertmuth/Cwerg | fdf30b06c93b4620c0a45b448b6d92acb81c35f0 | [
"Apache-2.0"
] | 14 | 2021-05-15T02:12:09.000Z | 2022-03-16T04:16:18.000Z | Base/opcode_tab.py | robertmuth/Cwerg | fdf30b06c93b4620c0a45b448b6d92acb81c35f0 | [
"Apache-2.0"
] | 5 | 2021-03-01T20:52:13.000Z | 2022-03-07T06:35:03.000Z | #!/usr/bin/python3
# (c) Robert Muth - see LICENSE for more info
from typing import List, Dict
import enum
from Util import cgen
# maximum number of operands in an instruction
MAX_OPERANDS = 5
# maximum number of function parameters (or results)
MAX_PARAMETERS = 64
#################################################... | 36.113594 | 108 | 0.571443 | 5,307 | 38,786 | 3.958357 | 0.145657 | 0.057695 | 0.054839 | 0.040844 | 0.417385 | 0.356643 | 0.318989 | 0.295901 | 0.263388 | 0.256296 | 0 | 0.023573 | 0.260635 | 38,786 | 1,073 | 109 | 36.147251 | 0.708965 | 0.125355 | 0 | 0.237537 | 0 | 0.001466 | 0.12837 | 0.002149 | 0 | 0 | 0.012511 | 0.000932 | 0.020528 | 1 | 0.033724 | false | 0 | 0.005865 | 0.016129 | 0.222874 | 0.036657 | 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 |
255a4a642a2b2e33a26ec84bb18d2413e8e4b098 | 31,149 | py | Python | main/staff.py | YukiGao7718/Airline-Reservation-System | ecc75316ccbc6aa2db4d0378b938c0275fddb6d3 | [
"MIT"
] | null | null | null | main/staff.py | YukiGao7718/Airline-Reservation-System | ecc75316ccbc6aa2db4d0378b938c0275fddb6d3 | [
"MIT"
] | null | null | null | main/staff.py | YukiGao7718/Airline-Reservation-System | ecc75316ccbc6aa2db4d0378b938c0275fddb6d3 | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request, session, redirect, url_for
import pymysql.cursors
import datetime
from pyecharts import options as opts
from pyecharts.charts import Pie,Bar
from appdef import *
#Get the airline the staff member works for
def getStaffAirline():
username = session['username']
... | 40.400778 | 129 | 0.596969 | 3,270 | 31,149 | 5.591437 | 0.106116 | 0.026799 | 0.031394 | 0.043754 | 0.700831 | 0.666102 | 0.629293 | 0.598337 | 0.561693 | 0.529206 | 0 | 0.006372 | 0.279527 | 31,149 | 770 | 130 | 40.453247 | 0.80835 | 0.071206 | 0 | 0.591667 | 0 | 0.001667 | 0.159295 | 0.029828 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.01 | 0 | 0.165 | 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 |