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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f24ac29d015f11200dad8879234dd7ab9c174313 | 2,003 | py | Python | N50.py | kstatebioinfo/stanford_swc | daa3f37bcbbe4a8a3cbe59a48b380603b9794634 | [
"CC0-1.0"
] | null | null | null | N50.py | kstatebioinfo/stanford_swc | daa3f37bcbbe4a8a3cbe59a48b380603b9794634 | [
"CC0-1.0"
] | null | null | null | N50.py | kstatebioinfo/stanford_swc | daa3f37bcbbe4a8a3cbe59a48b380603b9794634 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
##########################################################################
# USAGE: import N50
# help(N50)
# N50.main(~/stanford_swc/fasta-o-matic/fasta/normal.fa)
# DESCRIPTION: Function that calculates N50 for a FASTA file
# Created by Jennifer M Shelton
################################... | 34.534483 | 74 | 0.495756 | 211 | 2,003 | 4.601896 | 0.454976 | 0.025747 | 0.032956 | 0.035015 | 0.053553 | 0.053553 | 0 | 0 | 0 | 0 | 0 | 0.027721 | 0.261608 | 2,003 | 57 | 75 | 35.140351 | 0.628803 | 0.324513 | 0 | 0.2 | 0 | 0 | 0.013598 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.057143 | 0 | 0.114286 | 0.028571 | 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 |
f24b0ee4bbb24e050ab403a0d1e6bf087f8143ee | 34,017 | py | Python | ColDoc/latex.py | mennucc/ColDoc_project | 947a79592b689f57e59652b37868cc22e520f724 | [
"BSD-3-Clause"
] | null | null | null | ColDoc/latex.py | mennucc/ColDoc_project | 947a79592b689f57e59652b37868cc22e520f724 | [
"BSD-3-Clause"
] | null | null | null | ColDoc/latex.py | mennucc/ColDoc_project | 947a79592b689f57e59652b37868cc22e520f724 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
__all__ = ('main_by_args','latex_main','latex_uuid','latex_tree')
cmd_help="""
Command help:
blob
compile the blob(s) with --uuid=UUID,
tree
compile all the blobs starting from --uuid=UUID
main_public
compile the whole document, for the general public
... | 39.010321 | 135 | 0.587559 | 4,420 | 34,017 | 4.350226 | 0.118552 | 0.037861 | 0.020595 | 0.01165 | 0.402798 | 0.3342 | 0.29041 | 0.257437 | 0.213647 | 0.192532 | 0 | 0.003825 | 0.28524 | 34,017 | 871 | 136 | 39.055109 | 0.786995 | 0.07752 | 0 | 0.298422 | 0 | 0.002869 | 0.164914 | 0.016864 | 0 | 0 | 0 | 0.002296 | 0.012912 | 1 | 0.021521 | false | 0 | 0.021521 | 0 | 0.077475 | 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 |
f24c7bebfc50062402e4f3d020937fffe8042def | 1,945 | py | Python | kivyx/uix/aspectratio.py | gottadiveintopython/kivyx.uix.aspectratio | e8b049fe76c9350b8c167ff1fb32299b8feceba7 | [
"MIT"
] | null | null | null | kivyx/uix/aspectratio.py | gottadiveintopython/kivyx.uix.aspectratio | e8b049fe76c9350b8c167ff1fb32299b8feceba7 | [
"MIT"
] | null | null | null | kivyx/uix/aspectratio.py | gottadiveintopython/kivyx.uix.aspectratio | e8b049fe76c9350b8c167ff1fb32299b8feceba7 | [
"MIT"
] | null | null | null | __all__ = ('KXAspectRatio', )
from kivy.uix.layout import Layout
from kivy.properties import BoundedNumericProperty, OptionProperty
HALIGN_TO_ATTR = {
'center': 'center_x',
'middle': 'center_x',
'left': 'x',
'right': 'right',
}
VALIGN_TO_ATTR = {
'center': 'center_y',
'middle': 'center_y',
... | 29.469697 | 68 | 0.5491 | 239 | 1,945 | 4.251046 | 0.267782 | 0.086614 | 0.059055 | 0.038386 | 0.226378 | 0.122047 | 0.122047 | 0.122047 | 0.064961 | 0 | 0 | 0.006047 | 0.319794 | 1,945 | 65 | 69 | 29.923077 | 0.761905 | 0 | 0 | 0.107143 | 0 | 0 | 0.096708 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0 | 0.035714 | 0 | 0.196429 | 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 |
f24e4b499348b1e6839320b71759fce8e46d5cc8 | 4,006 | py | Python | src/analyze_img.py | IW276/IW276SS21-P13 | 851e220c34d55caa91f0967e02dc86c34deee2fa | [
"MIT"
] | null | null | null | src/analyze_img.py | IW276/IW276SS21-P13 | 851e220c34d55caa91f0967e02dc86c34deee2fa | [
"MIT"
] | null | null | null | src/analyze_img.py | IW276/IW276SS21-P13 | 851e220c34d55caa91f0967e02dc86c34deee2fa | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from matplotlib import pyplot as plt
brightness = {"DARK": 0,
"NORMAL": 1,
"LIGHT": 2}
contrast = {"HIGH": 2,
"NORMAL": 1,
"LOW": 0}
class ImageSetup:
def __init__(self):
self.brightness = None
self.contrast = None... | 30.120301 | 92 | 0.595856 | 488 | 4,006 | 4.778689 | 0.213115 | 0.108062 | 0.051458 | 0.041166 | 0.126501 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0.02982 | 0.28008 | 4,006 | 132 | 93 | 30.348485 | 0.778779 | 0.030205 | 0 | 0.066667 | 0 | 0 | 0.057231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12381 | false | 0 | 0.028571 | 0 | 0.219048 | 0.104762 | 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 |
f2503cce75279fee15a3fc46cd4a46df58314fef | 3,799 | py | Python | models/game/bots/RandoMaxBot.py | zachdj/ultimate-tic-tac-toe | b8e6128d9d19628f6f889a3958d30854527a8645 | [
"MIT"
] | null | null | null | models/game/bots/RandoMaxBot.py | zachdj/ultimate-tic-tac-toe | b8e6128d9d19628f6f889a3958d30854527a8645 | [
"MIT"
] | null | null | null | models/game/bots/RandoMaxBot.py | zachdj/ultimate-tic-tac-toe | b8e6128d9d19628f6f889a3958d30854527a8645 | [
"MIT"
] | null | null | null | import random
from models.game.bots.Bot import Bot
from models.game.Board import Board
class RandoMaxBot(Bot):
""" Semi-random bot
This is a minimax bot that scores moves randomly unless the end of the game is seen within a 2-ply lookahead
"""
def __init__(self, number, name=None):
if name is... | 36.528846 | 120 | 0.589102 | 498 | 3,799 | 4.351406 | 0.230924 | 0.046147 | 0.035994 | 0.040609 | 0.522381 | 0.522381 | 0.522381 | 0.49377 | 0.460545 | 0.460545 | 0 | 0.016594 | 0.333772 | 3,799 | 103 | 121 | 36.883495 | 0.839589 | 0.225059 | 0 | 0.591549 | 0 | 0 | 0.01153 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084507 | false | 0.014085 | 0.042254 | 0.014085 | 0.366197 | 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 |
f25ce39acdbb3d945528b6cb2be68ac5895f77bb | 1,241 | py | Python | backend/server.py | mugeshk97/billing-api | 3bf6899f62bee6db7870c3b6008a10c887eb3aa3 | [
"MIT"
] | null | null | null | backend/server.py | mugeshk97/billing-api | 3bf6899f62bee6db7870c3b6008a10c887eb3aa3 | [
"MIT"
] | null | null | null | backend/server.py | mugeshk97/billing-api | 3bf6899f62bee6db7870c3b6008a10c887eb3aa3 | [
"MIT"
] | null | null | null | from flask import Flask, request, jsonify
from connection import get_sql_connection
from product import get_all_products, insert_product, delete_product
import json
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
cnx = get_sql_connection()
@app.route('/getProducts', methods=['GET'])
def get_products():
... | 29.547619 | 68 | 0.709106 | 157 | 1,241 | 5.343949 | 0.312102 | 0.064362 | 0.064362 | 0.085816 | 0.31466 | 0.31466 | 0.31466 | 0.224076 | 0.224076 | 0.224076 | 0 | 0.007612 | 0.153102 | 1,241 | 42 | 69 | 29.547619 | 0.790676 | 0 | 0 | 0.228571 | 0 | 0 | 0.1562 | 0.065217 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.142857 | 0 | 0.314286 | 0.028571 | 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 |
f25fca280607b95bdb378b87fdab5966ef3e46d2 | 555 | py | Python | api/restaurant_helper_functions.py | daniellespencer/stfu-and-eat | cb82b364ba226dd61f11547720a20a132c1562f6 | [
"MIT"
] | 1 | 2020-05-15T01:36:59.000Z | 2020-05-15T01:36:59.000Z | api/restaurant_helper_functions.py | daniellespencer/stfu-and-eat | cb82b364ba226dd61f11547720a20a132c1562f6 | [
"MIT"
] | null | null | null | api/restaurant_helper_functions.py | daniellespencer/stfu-and-eat | cb82b364ba226dd61f11547720a20a132c1562f6 | [
"MIT"
] | 2 | 2020-05-15T01:31:37.000Z | 2020-05-20T00:04:41.000Z | import random
from api.config import restaurant_collection as restaurants
def organize_restaurant_output():
output = []
for q in restaurants.find():
output.append({
"id" : str(q['_id']),
'name' : q['name'],
'neighborhood' : q['neighborhood'],
'cuisine' :... | 26.428571 | 59 | 0.567568 | 58 | 555 | 5.327586 | 0.551724 | 0.07767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005089 | 0.291892 | 555 | 21 | 60 | 26.428571 | 0.78117 | 0 | 0 | 0 | 0 | 0 | 0.142086 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.352941 | 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 |
f2647ec6e2d3b985a5cc52948c24f37ae5751457 | 3,973 | py | Python | stimuli.py | lieke2020/workmate_match | 803f4e3b1fa62280cc0d6a7cd61eb80929dae918 | [
"MIT"
] | null | null | null | stimuli.py | lieke2020/workmate_match | 803f4e3b1fa62280cc0d6a7cd61eb80929dae918 | [
"MIT"
] | null | null | null | stimuli.py | lieke2020/workmate_match | 803f4e3b1fa62280cc0d6a7cd61eb80929dae918 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 1 13:21:44 2021
This file holds the stimuli that are used in the world to represent cues.
obs_time --> Stimulus representing time
match_cifar --> Natural scenes for phase 1 learning
obs_cifar --> Natural scenes for phase 2 learning
match_alp... | 37.838095 | 100 | 0.683614 | 620 | 3,973 | 4.327419 | 0.377419 | 0.023854 | 0.013418 | 0.025345 | 0.115542 | 0.022363 | 0 | 0 | 0 | 0 | 0 | 0.031409 | 0.206645 | 3,973 | 104 | 101 | 38.201923 | 0.819797 | 0.532343 | 0 | 0 | 0 | 0 | 0.02426 | 0.01716 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | 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 |
f2684fd08fdc8ebf74875458af9886f1554c5e7c | 1,040 | py | Python | meilisearch/tests/test_synonyms_meilisearch.py | jtmiclat/meilisearch-python | b6a48a62bb64ae58181550a0ddc793dcdc0a2b06 | [
"MIT"
] | null | null | null | meilisearch/tests/test_synonyms_meilisearch.py | jtmiclat/meilisearch-python | b6a48a62bb64ae58181550a0ddc793dcdc0a2b06 | [
"MIT"
] | null | null | null | meilisearch/tests/test_synonyms_meilisearch.py | jtmiclat/meilisearch-python | b6a48a62bb64ae58181550a0ddc793dcdc0a2b06 | [
"MIT"
] | null | null | null | import time
import meilisearch
from meilisearch.tests import BASE_URL, MASTER_KEY
class TestSynonyms:
client = meilisearch.Client(BASE_URL, MASTER_KEY)
index = None
new_synonyms = {
'hp': ['harry potter']
}
default_synonyms = {}
def setup_class(self):
self.index = self.client.c... | 28.888889 | 64 | 0.674038 | 120 | 1,040 | 5.658333 | 0.333333 | 0.079529 | 0.100147 | 0.106038 | 0.430044 | 0.326951 | 0.182622 | 0.182622 | 0.182622 | 0 | 0 | 0.001259 | 0.236538 | 1,040 | 35 | 65 | 29.714286 | 0.853904 | 0 | 0 | 0.241379 | 0 | 0 | 0.036538 | 0 | 0 | 0 | 0 | 0 | 0.241379 | 1 | 0.172414 | false | 0 | 0.103448 | 0 | 0.448276 | 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 |
f26f15c108eabe8ae9328cc4ea34ff13c08d0947 | 950 | py | Python | main.py | AbhigyanRanjan0505/dvigyuoixfhybiocthgnkfi | db1b5198f1a0902aff21c74c58578dcb1feda39d | [
"MIT"
] | null | null | null | main.py | AbhigyanRanjan0505/dvigyuoixfhybiocthgnkfi | db1b5198f1a0902aff21c74c58578dcb1feda39d | [
"MIT"
] | null | null | null | main.py | AbhigyanRanjan0505/dvigyuoixfhybiocthgnkfi | db1b5198f1a0902aff21c74c58578dcb1feda39d | [
"MIT"
] | null | null | null | import plotly.figure_factory as figure_factory
import statistics
import random
import pandas
df = pandas.read_csv("data.csv")
data = df["reading_time"].tolist()
population_mean = statistics.mean(data)
print("Population mean :", population_mean)
def show_fig(mean_list):
df = mean_list
fig = fig... | 22.093023 | 52 | 0.648421 | 126 | 950 | 4.650794 | 0.365079 | 0.081911 | 0.09215 | 0.051195 | 0.040956 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011127 | 0.243158 | 950 | 42 | 53 | 22.619048 | 0.803894 | 0 | 0 | 0 | 0 | 0 | 0.070485 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.133333 | 0 | 0.266667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2738d7e2edb6f5a98849ea7773345dc1a404833 | 1,409 | py | Python | hseling_lib_diachrony_webvectors/hseling_lib_diachrony_webvectors/strings_reader.py | wadimiusz/hseling-repo-diachrony-webvectors | 5488d74141df360a6a721637ae7c7577136172d7 | [
"MIT"
] | null | null | null | hseling_lib_diachrony_webvectors/hseling_lib_diachrony_webvectors/strings_reader.py | wadimiusz/hseling-repo-diachrony-webvectors | 5488d74141df360a6a721637ae7c7577136172d7 | [
"MIT"
] | null | null | null | hseling_lib_diachrony_webvectors/hseling_lib_diachrony_webvectors/strings_reader.py | wadimiusz/hseling-repo-diachrony-webvectors | 5488d74141df360a6a721637ae7c7577136172d7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding:utf8
"""
this module reads strings.csv, which contains all
the strings, and lets the main app use it
"""
import sys
import csv
import os
from flask import Markup
import configparser
config = configparser.RawConfigParser()
path = '../hseling_api_diachrony_webvectors/hseling_api_diachron... | 32.022727 | 104 | 0.721079 | 187 | 1,409 | 5.315508 | 0.524064 | 0.065392 | 0.038229 | 0.05835 | 0.124748 | 0.06841 | 0.06841 | 0.06841 | 0.06841 | 0 | 0 | 0.010815 | 0.146913 | 1,409 | 43 | 105 | 32.767442 | 0.81614 | 0.220724 | 0 | 0 | 0 | 0 | 0.239852 | 0.140221 | 0 | 0 | 0 | 0 | 0.038462 | 1 | 0 | false | 0 | 0.192308 | 0 | 0.192308 | 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 |
f274273a939d4c8377fbaeb7efafd00e9604432e | 1,077 | py | Python | day 5&6/linked list.py | yogeshkhola/100daysofDSA | 93f0d30d718795e4e3eb5d8e677b87baebd0df7c | [
"MIT"
] | 3 | 2021-03-01T17:04:33.000Z | 2021-03-01T17:44:23.000Z | day 5&6/linked list.py | yogeshkhola/100daysofDSA | 93f0d30d718795e4e3eb5d8e677b87baebd0df7c | [
"MIT"
] | null | null | null | day 5&6/linked list.py | yogeshkhola/100daysofDSA | 93f0d30d718795e4e3eb5d8e677b87baebd0df7c | [
"MIT"
] | null | null | null | class node:
def __init__(self,data):
self.data=data
self.next=None
class LinkedList:
def __init__(self):
self.start=None #(self/head)
def viewList(self):#this function print the whole list
if self.start==None:
print("list is empty")
else:
temp... | 21.54 | 58 | 0.571959 | 126 | 1,077 | 4.825397 | 0.285714 | 0.148026 | 0.085526 | 0.074013 | 0.215461 | 0.149671 | 0.092105 | 0 | 0 | 0 | 0 | 0.013587 | 0.31662 | 1,077 | 50 | 59 | 21.54 | 0.8125 | 0.056639 | 0 | 0.282051 | 0 | 0 | 0.033531 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128205 | false | 0 | 0 | 0 | 0.179487 | 0.102564 | 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 |
f2765c1d1962f66a204431e4dc547e6e1d4a52be | 40,603 | py | Python | detex/getdata.py | d-chambers/Detex | 46602eb8e05e080a23111c8f2716065a016613c2 | [
"BSD-3-Clause"
] | 39 | 2015-08-15T20:10:14.000Z | 2022-03-17T00:41:57.000Z | detex/getdata.py | d-chambers/Detex | 46602eb8e05e080a23111c8f2716065a016613c2 | [
"BSD-3-Clause"
] | 39 | 2015-09-28T23:50:59.000Z | 2019-07-16T20:38:31.000Z | detex/getdata.py | d-chambers/Detex | 46602eb8e05e080a23111c8f2716065a016613c2 | [
"BSD-3-Clause"
] | 8 | 2015-10-08T20:43:40.000Z | 2020-08-05T22:47:45.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 10 20:21:46 2015
@author: derrick
"""
from __future__ import print_function, absolute_import, unicode_literals, division
import glob
import itertools
import json
import os
import random
import numpy as np
import obspy
import pandas as pd
from six import string_types
im... | 38.929051 | 102 | 0.582174 | 4,924 | 40,603 | 4.749594 | 0.152924 | 0.010604 | 0.015906 | 0.019883 | 0.263565 | 0.213537 | 0.177107 | 0.159661 | 0.13127 | 0.09672 | 0 | 0.009421 | 0.325493 | 40,603 | 1,042 | 103 | 38.966411 | 0.844525 | 0.292146 | 0 | 0.280788 | 0 | 0 | 0.078739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045977 | false | 0.001642 | 0.022989 | 0 | 0.131363 | 0.001642 | 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 |
f2766a9a2df58d6c9fe0fc41dab441157d2a7a7d | 4,850 | py | Python | HouseHunter/core.py | JGBMichalski/House-Hunter | 7ad1e866907545b8e2302c1a775cadbd8f807ad9 | [
"MIT"
] | null | null | null | HouseHunter/core.py | JGBMichalski/House-Hunter | 7ad1e866907545b8e2302c1a775cadbd8f807ad9 | [
"MIT"
] | null | null | null | HouseHunter/core.py | JGBMichalski/House-Hunter | 7ad1e866907545b8e2302c1a775cadbd8f807ad9 | [
"MIT"
] | null | null | null | from tarfile import SUPPORTED_TYPES
import requests
import re
from bs4 import BeautifulSoup
import json
import HouseHunter.globals as Globals
from HouseHunter.ad import *
from pathlib import Path
class Core():
def __init__(self, filename="ads.json"):
self.filepath = Path().absolute().joinpath(filename) if... | 34.15493 | 142 | 0.583711 | 639 | 4,850 | 4.283255 | 0.250391 | 0.04019 | 0.018268 | 0.021922 | 0.299963 | 0.267081 | 0.194008 | 0.174278 | 0.174278 | 0.174278 | 0 | 0.003361 | 0.325155 | 4,850 | 141 | 143 | 34.397163 | 0.832875 | 0.185979 | 0 | 0.168539 | 0 | 0 | 0.028775 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101124 | false | 0 | 0.089888 | 0.011236 | 0.325843 | 0.011236 | 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 |
f27acd0b94f784d85a24a1358e2c015c3198e304 | 4,138 | py | Python | keras_med_io/utils/intensity_io.py | jchen42703/keras_med_io | 2113de64a448c90b66993d6ed4fdbba7971f3417 | [
"MIT"
] | null | null | null | keras_med_io/utils/intensity_io.py | jchen42703/keras_med_io | 2113de64a448c90b66993d6ed4fdbba7971f3417 | [
"MIT"
] | 6 | 2019-03-24T02:39:43.000Z | 2019-04-10T01:15:14.000Z | keras_med_io/utils/intensity_io.py | jchen42703/keras_med_io | 2113de64a448c90b66993d6ed4fdbba7971f3417 | [
"MIT"
] | null | null | null | # coding: utf-8
# funcions for quick testing
import numpy as np
# helper functions
def normalization(arr, normalize_mode, norm_range = [0,1]):
"""
Helper function: Normalizes the image based on the specified mode and range
Args:
arr: numpy array
normalize_mode: either "whiten", "normalize_cl... | 39.037736 | 121 | 0.656597 | 557 | 4,138 | 4.764811 | 0.321364 | 0.047476 | 0.027129 | 0.025622 | 0.283723 | 0.229842 | 0.214017 | 0.186134 | 0.165034 | 0.125094 | 0 | 0.016703 | 0.233204 | 4,138 | 105 | 122 | 39.409524 | 0.819729 | 0.556307 | 0 | 0.060606 | 0 | 0 | 0.036923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151515 | false | 0 | 0.030303 | 0 | 0.424242 | 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 |
f27c23356c06fcdc25ca581c0cf5398df4251dbf | 8,654 | py | Python | source/notebooks/sagemaker_predictive_maintenance/autoencoder_entry_point/autoencoder_entry_point.py | brightsparc/predictive-maintenance-using-machine-learning | fae69698750185bb58a3fa67ff8887f435f46458 | [
"Apache-2.0"
] | null | null | null | source/notebooks/sagemaker_predictive_maintenance/autoencoder_entry_point/autoencoder_entry_point.py | brightsparc/predictive-maintenance-using-machine-learning | fae69698750185bb58a3fa67ff8887f435f46458 | [
"Apache-2.0"
] | null | null | null | source/notebooks/sagemaker_predictive_maintenance/autoencoder_entry_point/autoencoder_entry_point.py | brightsparc/predictive-maintenance-using-machine-learning | fae69698750185bb58a3fa67ff8887f435f46458 | [
"Apache-2.0"
] | null | null | null | # Autoencoder based on: https://towardsdatascience.com/predictive-maintenance-of-turbofan-engine-64911e39c367
import argparse
import pandas as pd
import numpy as np
import itertools
import logging
import random
import os
from scipy.spatial.distance import pdist, squareform
from sklearn.metrics import confusion_matrix... | 39.336364 | 159 | 0.686388 | 1,281 | 8,654 | 4.417642 | 0.234192 | 0.022265 | 0.027037 | 0.008835 | 0.238381 | 0.188373 | 0.171055 | 0.155151 | 0.131825 | 0.06821 | 0 | 0.026646 | 0.180379 | 8,654 | 220 | 160 | 39.336364 | 0.771183 | 0.152993 | 0 | 0.068027 | 0 | 0 | 0.084851 | 0.003311 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.108844 | 0 | 0.22449 | 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 |
f27c2659a6f08c68bf5a68b6f0434f1302972e63 | 437 | py | Python | util/dump_cmudict_json.py | raygard/readability-rg | 3e0820ee5def6ffccfdc1114e511bdf137ff9b04 | [
"MIT"
] | null | null | null | util/dump_cmudict_json.py | raygard/readability-rg | 3e0820ee5def6ffccfdc1114e511bdf137ff9b04 | [
"MIT"
] | null | null | null | util/dump_cmudict_json.py | raygard/readability-rg | 3e0820ee5def6ffccfdc1114e511bdf137ff9b04 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# vim: set fileencoding=utf-8
import sys
import json
def main():
args = sys.argv[1:]
fn = args[0]
with open(fn) as fp:
d = json.load(fp)
# Using sorted() to get same results in Python 2 and 3.
for k, v in sorted(d.items()):
assert isinstance(v, list)
... | 19.863636 | 62 | 0.533181 | 73 | 437 | 3.191781 | 0.671233 | 0.017167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029605 | 0.304348 | 437 | 21 | 63 | 20.809524 | 0.736842 | 0.263158 | 0 | 0 | 0 | 0 | 0.034591 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.25 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f27e5faf956aa7b884e2d5afa37ca81bb25dcb92 | 1,328 | py | Python | src/EvalShift.py | nekonyanneko/GA | 328f37c421a8bd4857a0804b130c23bd7b98de19 | [
"MIT"
] | null | null | null | src/EvalShift.py | nekonyanneko/GA | 328f37c421a8bd4857a0804b130c23bd7b98de19 | [
"MIT"
] | null | null | null | src/EvalShift.py | nekonyanneko/GA | 328f37c421a8bd4857a0804b130c23bd7b98de19 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import Shift as shi
import Enum as enu
def evalShift(individual):
"""
This method is grobal method.
This method is evaluation.
If you need new evaluation method, you must define it as follows.
RETURN:
evaluation values
"""
shift = shi.Shift(individual) # Get indiviaual of ... | 24.145455 | 83 | 0.652108 | 183 | 1,328 | 4.398907 | 0.404372 | 0.121739 | 0.040994 | 0.052174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019192 | 0.254518 | 1,328 | 54 | 84 | 24.592593 | 0.793939 | 0.267319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.068966 | 0 | 0.137931 | 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 |
f280852bfea33f9eda7c3cbe87f494f3dbe4c0a3 | 238 | py | Python | Bot.py | pythonNoobas/Python228 | 7c266acad5bb5ae45df10ac3fdea209831399729 | [
"MIT"
] | null | null | null | Bot.py | pythonNoobas/Python228 | 7c266acad5bb5ae45df10ac3fdea209831399729 | [
"MIT"
] | null | null | null | Bot.py | pythonNoobas/Python228 | 7c266acad5bb5ae45df10ac3fdea209831399729 | [
"MIT"
] | null | null | null | import telebot
bot = telebot.TeleBot("879497357:AAHxUAZR2ZMy7q1dsC12NoFOmvBnKo9a3FA")
@bot.message_handler(content_types=['text'])
def echo_all(message):
bot.send_message(message.chat.id, message.text)
bot.polling( none_stop = True ) | 23.8 | 70 | 0.794118 | 30 | 238 | 6.133333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073059 | 0.079832 | 238 | 10 | 71 | 23.8 | 0.767123 | 0 | 0 | 0 | 0 | 0 | 0.205021 | 0.188285 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | 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 |
f2808bb95000137789190b399e2a920a24f1f97a | 2,980 | py | Python | generator/address.py | leg020/python-training | f595b8b836ff60c68bdff9d881ca50c026762457 | [
"Apache-2.0"
] | null | null | null | generator/address.py | leg020/python-training | f595b8b836ff60c68bdff9d881ca50c026762457 | [
"Apache-2.0"
] | null | null | null | generator/address.py | leg020/python-training | f595b8b836ff60c68bdff9d881ca50c026762457 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from model.address import Address
import random
import string
import os.path
import json
import getopt
import sys
import jsonpickle
try:
opts, args = getopt.getopt(sys.argv[1:], 'n:f:', ['number of address', 'file'])
except getopt.GetoptError as err:
getopt.usage()
sys.exit(2)
n ... | 33.483146 | 94 | 0.451342 | 283 | 2,980 | 4.64311 | 0.353357 | 0.191781 | 0.128615 | 0.148402 | 0.031963 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041903 | 0.407383 | 2,980 | 89 | 95 | 33.483146 | 0.702152 | 0.007047 | 0 | 0 | 0 | 0 | 0.055105 | 0.007776 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012821 | false | 0 | 0.102564 | 0 | 0.128205 | 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 |
f283d91585cbb97de4ca77780a488265da69f263 | 613 | py | Python | scripts/test.py | darkmatter2222/Agar.AI | a757544581239a7b4c2b00bb7befa9b649d73f7f | [
"MIT"
] | 1 | 2020-01-02T13:49:51.000Z | 2020-01-02T13:49:51.000Z | scripts/test.py | darkmatter2222/Agar.AI | a757544581239a7b4c2b00bb7befa9b649d73f7f | [
"MIT"
] | null | null | null | scripts/test.py | darkmatter2222/Agar.AI | a757544581239a7b4c2b00bb7befa9b649d73f7f | [
"MIT"
] | 1 | 2020-01-24T19:17:38.000Z | 2020-01-24T19:17:38.000Z | import scripts.screen_interface as si
import scripts.game_interface as gi
import ctypes
import os
import keyboard
import uuid
GI = gi.GameInterface()
# find center of screen
user32 = ctypes.windll.user32
screenSize = user32.GetSystemMetrics(0), user32.GetSystemMetrics(1)
centerPoint = tuple(i/2 for i in screenSize)
p... | 25.541667 | 67 | 0.761827 | 91 | 613 | 5.054945 | 0.483516 | 0.056522 | 0.073913 | 0.017391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028195 | 0.132137 | 613 | 24 | 68 | 25.541667 | 0.836466 | 0.034258 | 0 | 0.1 | 0 | 0 | 0.079526 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.3 | 0.15 | 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 |
f284677f3d515ed6519b9b9782d95ab9e355ded5 | 4,052 | py | Python | Controller/control/WorkerControl.py | th-nuernberg/ml-cloud | 6d7527cbf6cceb7062e74dbc43d51998381aa6c8 | [
"MIT"
] | null | null | null | Controller/control/WorkerControl.py | th-nuernberg/ml-cloud | 6d7527cbf6cceb7062e74dbc43d51998381aa6c8 | [
"MIT"
] | 7 | 2020-07-19T03:29:21.000Z | 2022-03-02T06:46:12.000Z | Controller/control/WorkerControl.py | th-nuernberg/ml-cloud | 6d7527cbf6cceb7062e74dbc43d51998381aa6c8 | [
"MIT"
] | null | null | null | import json
import queue
from control.WorkerQueue import WorkerQueue as WQ
from data.StorageIO import StorageIO
'''
The WorkerControl coordinates workers and assigns jobs.
Worker register themself at startup. The controller queues workers as well as jobs in two seperate queues.
As soon as a worker and a job are availa... | 38.226415 | 112 | 0.607601 | 505 | 4,052 | 4.641584 | 0.261386 | 0.064846 | 0.075085 | 0.076792 | 0.255973 | 0.225683 | 0.145051 | 0.107509 | 0.074232 | 0.074232 | 0 | 0.001073 | 0.30997 | 4,052 | 105 | 113 | 38.590476 | 0.837268 | 0.034798 | 0 | 0.164557 | 0 | 0 | 0.096583 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088608 | false | 0.012658 | 0.050633 | 0.012658 | 0.291139 | 0.113924 | 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 |
f28467f33870630c6d980108ee2deecf6e265916 | 986 | py | Python | spammer/groupdmspam.py | 00-00-00-11/Raid-Toolbox | 4d24841de5ef112dc15b858f62607e0d6b5277cd | [
"0BSD"
] | null | null | null | spammer/groupdmspam.py | 00-00-00-11/Raid-Toolbox | 4d24841de5ef112dc15b858f62607e0d6b5277cd | [
"0BSD"
] | null | null | null | spammer/groupdmspam.py | 00-00-00-11/Raid-Toolbox | 4d24841de5ef112dc15b858f62607e0d6b5277cd | [
"0BSD"
] | 1 | 2021-05-15T11:32:24.000Z | 2021-05-15T11:32:24.000Z | import discord
import sys
import random
import aiohttp
import logging
token = sys.argv[1]
group = sys.argv[2]
tokenno = sys.argv[3]
msgtxt = sys.argv[4]
useproxies = sys.argv[5]
logging.basicConfig(filename='RTB.log', filemode='w', format='Token {}'.format(str(tokenno))+' - %(levelname)s - %(message)s',le... | 28.171429 | 150 | 0.649087 | 127 | 986 | 5 | 0.582677 | 0.055118 | 0.050394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006369 | 0.203854 | 986 | 34 | 151 | 29 | 0.802548 | 0 | 0 | 0.064516 | 0 | 0 | 0.10084 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.032258 | 0.16129 | 0 | 0.16129 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f28613b99f347cb3a0fc049c18db1898247d805e | 522 | py | Python | t2t_bert/distributed_encoder/gpt_encoder.py | yyht/bert | 480c909e0835a455606e829310ff949c9dd23549 | [
"Apache-2.0"
] | 34 | 2018-12-19T01:00:57.000Z | 2021-03-26T09:36:37.000Z | t2t_bert/distributed_encoder/gpt_encoder.py | yyht/bert | 480c909e0835a455606e829310ff949c9dd23549 | [
"Apache-2.0"
] | 11 | 2018-12-25T03:37:59.000Z | 2021-08-25T14:43:58.000Z | t2t_bert/distributed_encoder/gpt_encoder.py | yyht/bert | 480c909e0835a455606e829310ff949c9dd23549 | [
"Apache-2.0"
] | 9 | 2018-12-27T08:00:44.000Z | 2020-06-08T03:05:14.000Z | from model.gpt import gpt
import tensorflow as tf
import numpy as np
def gpt_encoder(model_config, features, labels,
mode, target, reuse=tf.AUTO_REUSE):
input_ids = features["input_ids"]
past = features.get('past', None)
model = gpt.GPT(model_config)
if model_config.get("scope", None):
scope = model_config... | 20.88 | 48 | 0.695402 | 75 | 522 | 4.68 | 0.4 | 0.188034 | 0.068376 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.189655 | 522 | 24 | 49 | 21.75 | 0.829787 | 0 | 0 | 0 | 0 | 0 | 0.06334 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.263158 | 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 |
f28ae939117634bfbb4da17376ebc5f47320b58f | 879 | py | Python | quick_sort.py | MichaelLenghel/Sorting-Algorithms | b0aba03a7e5d95b4ca4038e8b53a9d544adeefb1 | [
"MIT"
] | null | null | null | quick_sort.py | MichaelLenghel/Sorting-Algorithms | b0aba03a7e5d95b4ca4038e8b53a9d544adeefb1 | [
"MIT"
] | null | null | null | quick_sort.py | MichaelLenghel/Sorting-Algorithms | b0aba03a7e5d95b4ca4038e8b53a9d544adeefb1 | [
"MIT"
] | null | null | null | def partition(a, start, end):
pivot = a[start]
left = start + 1
right = end
met = False
# Iterate until i reaches j in the middle
while not met:
while left <= right and a[left] <= pivot:
left = left + 1
while right >= left and a[right] >= pivot:
right = right - 1
... | 22.538462 | 49 | 0.531286 | 143 | 879 | 3.181818 | 0.447552 | 0.065934 | 0.061538 | 0.052747 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06689 | 0.319681 | 879 | 39 | 50 | 22.538462 | 0.69398 | 0.134243 | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.115385 | 0.076923 | 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 |
f28b677805cf2bdfc02ec0d719ce0fad31f82786 | 5,787 | py | Python | astacus/coordinator/plugins/clickhouse/parts.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 19 | 2020-06-22T12:17:59.000Z | 2022-02-18T00:12:17.000Z | astacus/coordinator/plugins/clickhouse/parts.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 7 | 2020-06-24T05:16:20.000Z | 2022-02-28T07:35:31.000Z | astacus/coordinator/plugins/clickhouse/parts.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 2 | 2020-09-05T21:23:08.000Z | 2022-02-17T15:02:37.000Z | """
Copyright (c) 2021 Aiven Ltd
See LICENSE for details
Algorithms to help with redistributing parts across servers for tables using the
Replicated family of table engines.
This does not support shards, but this is the right place to add support for them.
"""
from astacus.common.ipc import SnapshotFile
from astacus.... | 39.101351 | 111 | 0.697598 | 850 | 5,787 | 4.558824 | 0.248235 | 0.058839 | 0.024774 | 0.024774 | 0.056 | 0.018323 | 0.004903 | 0.004903 | 0.004903 | 0.004903 | 0 | 0.007061 | 0.216865 | 5,787 | 147 | 112 | 39.367347 | 0.84797 | 0.284258 | 0 | 0.085366 | 0 | 0.012195 | 0.11214 | 0.039299 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060976 | false | 0 | 0.085366 | 0 | 0.329268 | 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 |
f28ccbdb8a0ea7d42a8a232e4a98e01aac77cc9d | 1,301 | py | Python | tests/test_init.py | mds2/Rocket | 53313677768159d13e6c2b7c69ad69ca59bb8c79 | [
"MIT"
] | 16 | 2015-12-16T10:50:42.000Z | 2020-06-04T10:39:20.000Z | tests/test_init.py | mds2/Rocket | 53313677768159d13e6c2b7c69ad69ca59bb8c79 | [
"MIT"
] | 6 | 2017-11-01T14:51:52.000Z | 2019-01-01T22:12:27.000Z | tests/test_init.py | mds2/Rocket | 53313677768159d13e6c2b7c69ad69ca59bb8c79 | [
"MIT"
] | 13 | 2016-04-22T20:14:39.000Z | 2021-12-21T22:52:02.000Z | # -*- coding: utf-8 -*-
# This file is part of the Rocket Web Server
# Copyright (c) 2012 Timothy Farrell
#
# See the included LICENSE.txt file for licensing details.
# Import System Modules
import sys
import unittest
# Import Custom Modules
import rocket
# Define Constants
PY3K = sys.version_info[0] > 2
# Define T... | 32.525 | 275 | 0.647963 | 170 | 1,301 | 4.811765 | 0.523529 | 0.07335 | 0.02445 | 0.03423 | 0.227384 | 0.158924 | 0.158924 | 0.158924 | 0.158924 | 0.158924 | 0 | 0.012683 | 0.212145 | 1,301 | 39 | 276 | 33.358974 | 0.785366 | 0.176787 | 0 | 0.181818 | 0 | 0 | 0.298775 | 0.044298 | 0 | 0 | 0 | 0 | 0.227273 | 1 | 0.136364 | false | 0 | 0.136364 | 0 | 0.318182 | 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 |
f2925fa462ff21785df92756f554dc30e7733df7 | 1,450 | py | Python | app/cipher_caesar.py | igorsilva3/cipher-of-caesar | 2024dae7eb795f273785e9622d9e20a49cea089d | [
"MIT"
] | 2 | 2020-09-30T00:04:59.000Z | 2020-10-02T14:33:56.000Z | app/cipher_caesar.py | igorsilva3/cipher-of-caesar | 2024dae7eb795f273785e9622d9e20a49cea089d | [
"MIT"
] | null | null | null | app/cipher_caesar.py | igorsilva3/cipher-of-caesar | 2024dae7eb795f273785e9622d9e20a49cea089d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import string
class Caesar(object):
def __init__(self):
self.ALPHABET = string.ascii_letters
def character_type(self, character):
""" Returns the alphabet box """
if character.isupper():
return string.ascii_uppercase
... | 29 | 63 | 0.512414 | 142 | 1,450 | 5.105634 | 0.302817 | 0.082759 | 0.077241 | 0.033103 | 0.427586 | 0.427586 | 0.366897 | 0.366897 | 0.366897 | 0.366897 | 0 | 0.001157 | 0.404138 | 1,450 | 50 | 64 | 29 | 0.837963 | 0.085517 | 0 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.035714 | 0 | 0.357143 | 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 |
f292e080e8bc6567932c91ed5f7d509146d3ac76 | 473 | py | Python | programming-logic/teste.py | raulrosapacheco/python3-udemy | b84e6f82417aecd0e2a28c3fb3cb222e057a660b | [
"MIT"
] | null | null | null | programming-logic/teste.py | raulrosapacheco/python3-udemy | b84e6f82417aecd0e2a28c3fb3cb222e057a660b | [
"MIT"
] | null | null | null | programming-logic/teste.py | raulrosapacheco/python3-udemy | b84e6f82417aecd0e2a28c3fb3cb222e057a660b | [
"MIT"
] | null | null | null | """
Split: dividir string
Join: juntar uma lista (str)
Enumerate: enumerar elementos da lista (iteráveis)
"""
string ='O Brasil é o pais do futebol, o Brasil é penta.'
lista_1 = string.split(' ')
lista_2 = string.split(',')
print(lista_1)
print(lista_2)
palavra = ''
contagem = 0
for valor in lista_1:
print(f'A pal... | 23.65 | 73 | 0.69556 | 74 | 473 | 4.310811 | 0.527027 | 0.094044 | 0.050157 | 0.100313 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020672 | 0.181818 | 473 | 20 | 74 | 23.65 | 0.803618 | 0.213531 | 0 | 0 | 0 | 0 | 0.29589 | 0.063014 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f296278ff7fbbd618f4bc706e8d6af3757d8034e | 2,547 | py | Python | grizzly_cli/argparse/__init__.py | mgor/grizzly-cli | 00da1a5a822baefedf61497120fd52dbb5203f12 | [
"MIT"
] | null | null | null | grizzly_cli/argparse/__init__.py | mgor/grizzly-cli | 00da1a5a822baefedf61497120fd52dbb5203f12 | [
"MIT"
] | null | null | null | grizzly_cli/argparse/__init__.py | mgor/grizzly-cli | 00da1a5a822baefedf61497120fd52dbb5203f12 | [
"MIT"
] | 1 | 2021-11-02T09:36:21.000Z | 2021-11-02T09:36:21.000Z | import sys
import re
from typing import Any, Optional, IO, Sequence
from argparse import ArgumentParser as CoreArgumentParser, Namespace, _SubParsersAction
from .markdown import MarkdownFormatter, MarkdownHelpAction
from .bashcompletion import BashCompletionAction, hook as bashcompletion_hook
ArgumentSubParser = _S... | 38.014925 | 131 | 0.645465 | 292 | 2,547 | 5.489726 | 0.335616 | 0.065502 | 0.039925 | 0.024953 | 0.07985 | 0.052402 | 0.052402 | 0 | 0 | 0 | 0 | 0.001046 | 0.249313 | 2,547 | 66 | 132 | 38.590909 | 0.837343 | 0.110718 | 0 | 0.146341 | 0 | 0 | 0.042629 | 0.009769 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0 | 0.146341 | 0 | 0.317073 | 0.073171 | 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 |
f29854376d62be05bf8d63dd4375c7cfd29ed77c | 6,192 | py | Python | ipa_util/validate.py | koolspin/vipa | f5b79a6ab4ce60975ff5ee6f173b97eebaf99b14 | [
"MIT"
] | null | null | null | ipa_util/validate.py | koolspin/vipa | f5b79a6ab4ce60975ff5ee6f173b97eebaf99b14 | [
"MIT"
] | null | null | null | ipa_util/validate.py | koolspin/vipa | f5b79a6ab4ce60975ff5ee6f173b97eebaf99b14 | [
"MIT"
] | null | null | null | import plistlib
from pathlib import Path
from datetime import datetime, timezone, timedelta
class Validate:
"""
Validate an unpacked .ipa file in various ways
The following rules are enforced. All are treated as errors, except as noted:
req-001: The root must contain a sub-directory called 'Payload'
... | 41.837838 | 152 | 0.653424 | 805 | 6,192 | 4.782609 | 0.22236 | 0.035065 | 0.03039 | 0.038182 | 0.175065 | 0.088831 | 0.058701 | 0.038442 | 0.02026 | 0.02026 | 0 | 0.014346 | 0.268249 | 6,192 | 147 | 153 | 42.122449 | 0.835356 | 0.314599 | 0 | 0.144578 | 0 | 0 | 0.14664 | 0.023676 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108434 | false | 0 | 0.036145 | 0.036145 | 0.216867 | 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 |
f29a992ba965f8e9cb047c742d3ca46176d0fa03 | 3,012 | py | Python | netests/comparators/facts_compare.py | Netests/netests | 1a48bda461761c4ec854d6fa0c38629049009a4a | [
"MIT"
] | 14 | 2020-06-08T07:34:59.000Z | 2022-03-14T08:52:03.000Z | netests/comparators/facts_compare.py | Netests/netests | 1a48bda461761c4ec854d6fa0c38629049009a4a | [
"MIT"
] | null | null | null | netests/comparators/facts_compare.py | Netests/netests | 1a48bda461761c4ec854d6fa0c38629049009a4a | [
"MIT"
] | 3 | 2020-06-19T03:57:05.000Z | 2020-06-22T22:46:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from nornir.core.task import Task
from netests import log
from netests.tools.file import open_file
from netests.protocols.facts import Facts
from netests.select_vars import select_host_vars
from netests.comparators.log_compare import log_compare, log_no_yaml_data
from net... | 31.705263 | 75 | 0.60259 | 363 | 3,012 | 4.688705 | 0.217631 | 0.075206 | 0.106933 | 0.084606 | 0.220917 | 0.145711 | 0.078731 | 0 | 0 | 0 | 0 | 0.000958 | 0.306773 | 3,012 | 94 | 76 | 32.042553 | 0.814176 | 0.014276 | 0 | 0.134146 | 0 | 0 | 0.097742 | 0.011459 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.097561 | 0 | 0.158537 | 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 |
f29b2579ee8dd83fbc2ef37d5767b8505b228c21 | 1,579 | py | Python | graph.py | shinmura0/tkinter_kouza | 1617a01591bf3cee808c4b3e62dc785cc76381f2 | [
"MIT"
] | null | null | null | graph.py | shinmura0/tkinter_kouza | 1617a01591bf3cee808c4b3e62dc785cc76381f2 | [
"MIT"
] | null | null | null | graph.py | shinmura0/tkinter_kouza | 1617a01591bf3cee808c4b3e62dc785cc76381f2 | [
"MIT"
] | null | null | null | #おまじない
from tkinter import Tk, Button, X, Frame, GROOVE, W, E, Label, Entry, END
import numpy as np
import os
from matplotlib import pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
# プロットする関数
def graph(data):
# 大きさ(6,3)のグラフを生成する
fig = plt.Figure(figsize=(6,3... | 24.292308 | 82 | 0.60038 | 210 | 1,579 | 4.428571 | 0.480952 | 0.025806 | 0.048387 | 0.064516 | 0.109677 | 0.077419 | 0.077419 | 0.077419 | 0 | 0 | 0 | 0.04766 | 0.269158 | 1,579 | 65 | 83 | 24.292308 | 0.757366 | 0.151995 | 0 | 0 | 0 | 0 | 0.008 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.131579 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2a0401693fdb2fa350f876989f4e1cc6a3ea3c3 | 698 | py | Python | im3agents/tests/test_farmers.py | IMMM-SFA/im3agents | 544e89803379a44108227e9cd83ce09f6974fe2d | [
"BSD-2-Clause"
] | null | null | null | im3agents/tests/test_farmers.py | IMMM-SFA/im3agents | 544e89803379a44108227e9cd83ce09f6974fe2d | [
"BSD-2-Clause"
] | 4 | 2020-05-27T18:50:29.000Z | 2020-09-24T14:27:00.000Z | im3agents/tests/test_farmers.py | IMMM-SFA/im3agents | 544e89803379a44108227e9cd83ce09f6974fe2d | [
"BSD-2-Clause"
] | null | null | null | """Farmer class tests.
:author: Someone
:email: someone@pnnl.gov
License: BSD 2-Clause, see LICENSE and DISCLAIMER files
"""
import unittest
from im3agents import FarmerOne
class TestFarmers(unittest.TestCase):
def test_farmerone(self):
error_min_age = FarmerOne(age=-1)
error_max_age ... | 19.388889 | 56 | 0.659026 | 85 | 698 | 5.211765 | 0.541176 | 0.081264 | 0.049661 | 0.13544 | 0.158014 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019194 | 0.253582 | 698 | 35 | 57 | 19.942857 | 0.831094 | 0.270774 | 0 | 0.142857 | 0 | 0 | 0.016 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 1 | 0.071429 | 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 |
f2a1157fdb66b63890403106ad4f269358b5419e | 1,744 | py | Python | day-24/part-1/th-ch.py | evqna/adventofcode-2020 | 526bb9c87057d02bda4de9647932a0e25bdb3a5b | [
"MIT"
] | 12 | 2020-11-30T19:22:18.000Z | 2021-06-21T05:55:58.000Z | day-24/part-1/th-ch.py | evqna/adventofcode-2020 | 526bb9c87057d02bda4de9647932a0e25bdb3a5b | [
"MIT"
] | 13 | 2020-11-30T17:27:22.000Z | 2020-12-22T17:43:13.000Z | day-24/part-1/th-ch.py | evqna/adventofcode-2020 | 526bb9c87057d02bda4de9647932a0e25bdb3a5b | [
"MIT"
] | 3 | 2020-12-01T08:49:40.000Z | 2022-03-26T21:47:38.000Z | from tool.runners.python import SubmissionPy
WHITE = 0
BLACK = 1
DIRECTIONS = {
"e": (-1, 0), # (x, y) with axes right/bottom
"se": (-0.5, 1),
"sw": (0.5, 1),
"w": (1, 0),
"nw": (0.5, -1),
"ne": (-0.5, -1),
}
class ThChSubmission(SubmissionPy):
def run(self, s):
flipped_tiles = {... | 25.275362 | 78 | 0.614106 | 160 | 1,744 | 6.65625 | 0.55 | 0.007512 | 0.011268 | 0.028169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024623 | 0.278096 | 1,744 | 68 | 79 | 25.647059 | 0.821287 | 0.06078 | 0 | 0 | 0 | 0 | 0.014184 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 1 | 0.055556 | false | 0 | 0.027778 | 0 | 0.138889 | 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 |
f2a14427a74c318066628e0e58bdecded62e08df | 259 | py | Python | Python/tais_formula.py | mimseyedi/Kattis | a99ea2112544e89cc466feb7d81ffe6eb017f7e2 | [
"MIT"
] | null | null | null | Python/tais_formula.py | mimseyedi/Kattis | a99ea2112544e89cc466feb7d81ffe6eb017f7e2 | [
"MIT"
] | null | null | null | Python/tais_formula.py | mimseyedi/Kattis | a99ea2112544e89cc466feb7d81ffe6eb017f7e2 | [
"MIT"
] | null | null | null | n = int(input())
l1 = list()
l2 = list()
for _ in range(n):
t, v = input().split()
l1.append(int(t))
l2.append(float(v))
result = 0
for i in range(len(l1) - 1):
result += ((l2[i] + l2[i + 1]) / 2) * (l1[i + 1] - l1[i])
print(result / 1000)
| 17.266667 | 61 | 0.505792 | 47 | 259 | 2.765957 | 0.468085 | 0.107692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092784 | 0.250965 | 259 | 14 | 62 | 18.5 | 0.57732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.090909 | 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 |
f2a1e765b746fab626eeae28ec0da8d5f9142f43 | 643 | py | Python | modules/constant.py | aubravo/Clasificacion-de-actividad-volcanica | 0f7be0d77509fa13948a0f714103ce6e6d8cb2ae | [
"MIT"
] | 1 | 2021-10-20T02:42:20.000Z | 2021-10-20T02:42:20.000Z | modules/constant.py | aubravo/ActividadVolcanica | 0f7be0d77509fa13948a0f714103ce6e6d8cb2ae | [
"MIT"
] | null | null | null | modules/constant.py | aubravo/ActividadVolcanica | 0f7be0d77509fa13948a0f714103ce6e6d8cb2ae | [
"MIT"
] | null | null | null | """----------------------------------------------------------------------------
This is the core of the parsing stage:
*re_find comments will search for everything between the $$ and EOL
*re_findDataLabels will search for everything between the start of a tag
(##) and the start of the next tag ignoring the... | 45.928571 | 79 | 0.494557 | 79 | 643 | 3.962025 | 0.506329 | 0.031949 | 0.083067 | 0.146965 | 0.210863 | 0.210863 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133748 | 643 | 13 | 80 | 49.461538 | 0.561939 | 0.724728 | 0 | 0 | 0 | 0 | 0.467836 | 0.362573 | 0 | 0 | 0 | 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 |
f2a3e15dbd9f5aecf7c8735a8a4cd1ee5164b116 | 5,879 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/f5networks/f5_modules/tests/unit/modules/network/f5/test_bigip_message_routing_transport_config.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/f5networks/f5_modules/tests/unit/modules/network/f5/test_bigip_message_routing_transport_config.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/f5networks/f5_modules/tests/unit/modules/network/f5/test_bigip_message_routing_transport_config.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright: (c) 2019, F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
import json
import pytest
import sys
if sys.version_info < (2... | 33.403409 | 136 | 0.628678 | 675 | 5,879 | 5.26963 | 0.272593 | 0.029519 | 0.037953 | 0.050604 | 0.57436 | 0.545122 | 0.494518 | 0.447287 | 0.403992 | 0.350576 | 0 | 0.019266 | 0.258377 | 5,879 | 175 | 137 | 33.594286 | 0.79656 | 0.042014 | 0 | 0.367647 | 0 | 0 | 0.159289 | 0.0544 | 0 | 0 | 0 | 0 | 0.176471 | 1 | 0.051471 | false | 0.022059 | 0.073529 | 0 | 0.154412 | 0.007353 | 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 |
f2a4c80d5b858823c4ef9a8432cc56f697eb6900 | 3,618 | py | Python | tests/test_builder_path_parameter.py | tabebqena/flask-open-spec | ee1fd9cd349e46e1d8295fc2799898731392af6a | [
"MIT"
] | null | null | null | tests/test_builder_path_parameter.py | tabebqena/flask-open-spec | ee1fd9cd349e46e1d8295fc2799898731392af6a | [
"MIT"
] | null | null | null | tests/test_builder_path_parameter.py | tabebqena/flask-open-spec | ee1fd9cd349e46e1d8295fc2799898731392af6a | [
"MIT"
] | null | null | null | from ..open_oas.builder.builder import OasBuilder
from unittest import TestCase
from ..tests.schemas.schemas import PaginationSchema
from ..open_oas.decorators import Deferred, path_parameter
class TestPathParameter(TestCase):
def run_tests(self, builder: OasBuilder):
data = builder.get_data()
par... | 30.661017 | 68 | 0.369541 | 226 | 3,618 | 5.827434 | 0.265487 | 0.027335 | 0.053151 | 0.034169 | 0.558846 | 0.493546 | 0.426727 | 0.364465 | 0.364465 | 0.330296 | 0 | 0.003297 | 0.49696 | 3,618 | 117 | 69 | 30.923077 | 0.72033 | 0.042012 | 0 | 0.534653 | 0 | 0 | 0.133892 | 0.008965 | 0 | 0 | 0 | 0 | 0.029703 | 1 | 0.049505 | false | 0 | 0.039604 | 0 | 0.108911 | 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 |
f2a7f8c88dbf4887b1d166b409dc1bae27f7d5b9 | 815 | py | Python | tests/test_templates.py | knipknap/django_searchable | 6fd9f8aa766477e8648fdbed720e966af1b216b7 | [
"MIT"
] | 62 | 2018-11-05T09:06:39.000Z | 2022-02-18T15:33:06.000Z | tests/test_templates.py | knipknap/django_searchable | 6fd9f8aa766477e8648fdbed720e966af1b216b7 | [
"MIT"
] | 4 | 2018-11-05T07:57:27.000Z | 2021-05-30T00:37:35.000Z | tests/test_templates.py | knipknap/django_searchable | 6fd9f8aa766477e8648fdbed720e966af1b216b7 | [
"MIT"
] | 8 | 2018-11-08T16:10:04.000Z | 2022-01-27T09:31:53.000Z |
from django.test import TestCase
from django.test.client import RequestFactory
from django.template import Template, Context
from django.template.loader import render_to_string
from .models import Author, Book
expected_headers = '''
<tr>
<th>Name</th><th>The title</th><th>Comment</th><th>Stars</th><th>AuthorID</th>
<... | 32.6 | 78 | 0.69816 | 111 | 815 | 5.054054 | 0.495496 | 0.071301 | 0.049911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008798 | 0.16319 | 815 | 24 | 79 | 33.958333 | 0.813783 | 0 | 0 | 0 | 0 | 0.05 | 0.165848 | 0.099509 | 0 | 0 | 0 | 0 | 0.05 | 1 | 0.1 | false | 0 | 0.25 | 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 |
f2a86a4dc06766b095f7432edceef5b58b99f8ac | 103,875 | py | Python | diabolo_play/scripts/interactive_play.py | omron-sinicx/diabolo | a0258fdf634d27c7cf185b2e40c6b12699417d36 | [
"BSD-3-Clause"
] | 11 | 2021-10-15T15:51:24.000Z | 2021-12-26T16:43:17.000Z | diabolo_play/scripts/interactive_play.py | omron-sinicx/diabolo | a0258fdf634d27c7cf185b2e40c6b12699417d36 | [
"BSD-3-Clause"
] | null | null | null | diabolo_play/scripts/interactive_play.py | omron-sinicx/diabolo | a0258fdf634d27c7cf185b2e40c6b12699417d36 | [
"BSD-3-Clause"
] | 1 | 2022-02-01T01:58:37.000Z | 2022-02-01T01:58:37.000Z | #!/usr/bin/env python
import sys
import copy
import rospy
import tf_conversions
import tf.transformations as transform
import tf
from math import pi
import math
import thread
import os
import random
import geometry_msgs.msg
from geometry_msgs.msg import Pose, PoseArray
from trajectory_msgs.msg import JointTrajectory, J... | 44.014831 | 142 | 0.575779 | 12,726 | 103,875 | 4.394704 | 0.062156 | 0.009191 | 0.009602 | 0.00987 | 0.646056 | 0.582938 | 0.525203 | 0.485705 | 0.443113 | 0.403133 | 0 | 0.029829 | 0.329993 | 103,875 | 2,359 | 143 | 44.033489 | 0.773755 | 0.145463 | 0 | 0.447242 | 0 | 0.001607 | 0.097028 | 0.024876 | 0 | 0 | 0 | 0.00212 | 0 | 1 | 0.015533 | false | 0.000536 | 0.019282 | 0 | 0.042314 | 0.024638 | 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 |
f2a9847b819084a601442dc4d30086db0ba4a8ad | 1,378 | py | Python | genius.py | fedecalendino/alfred-lyrics-finder | 771eb9ddcd1849b6095b2e7b16a2335d25c74f30 | [
"MIT"
] | 3 | 2020-09-14T01:07:11.000Z | 2021-03-12T09:43:12.000Z | genius.py | fedecalendino/alfred-lyrics-finder | 771eb9ddcd1849b6095b2e7b16a2335d25c74f30 | [
"MIT"
] | null | null | null | genius.py | fedecalendino/alfred-lyrics-finder | 771eb9ddcd1849b6095b2e7b16a2335d25c74f30 | [
"MIT"
] | null | null | null | from workflow import web
class APIException(Exception):
def __init__(self, status, message, url):
self.status = status
self.message = message
self.url = url
super(APIException, self).__init__(
"{status} > {message}".format(
status=self.status,
... | 26 | 85 | 0.564586 | 152 | 1,378 | 4.907895 | 0.342105 | 0.103217 | 0.060322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010526 | 0.310595 | 1,378 | 52 | 86 | 26.5 | 0.774737 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 1 | 0.105263 | false | 0 | 0.026316 | 0 | 0.263158 | 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 |
f2b2b69ac9c8d9c5d5b9c1cb7f1d8d0174255511 | 2,310 | py | Python | utils/html_markup.py | carlboudreau007/BlockChain_Demo | fb90212e9a401aa3b757e49af7fd28d250bafbc4 | [
"MIT"
] | null | null | null | utils/html_markup.py | carlboudreau007/BlockChain_Demo | fb90212e9a401aa3b757e49af7fd28d250bafbc4 | [
"MIT"
] | null | null | null | utils/html_markup.py | carlboudreau007/BlockChain_Demo | fb90212e9a401aa3b757e49af7fd28d250bafbc4 | [
"MIT"
] | null | null | null | import glob
from flask import Markup
SERVER_OPTIONS = [{'text': 'Local Host', 'value': '127.0.0.1'},
{'text': 'Test weved23962', 'value': '10.201.144.167'},
{'text': 'Stage weves31263', 'value': '10.50.8.130'},
{'text': 'Prod wevep31172', 'value': '10.48.164.198'}
... | 32.535211 | 93 | 0.577056 | 269 | 2,310 | 4.806691 | 0.297398 | 0.032483 | 0.029389 | 0.024749 | 0.672854 | 0.521268 | 0.521268 | 0.521268 | 0.521268 | 0.521268 | 0 | 0.030534 | 0.262771 | 2,310 | 70 | 94 | 33 | 0.728714 | 0.155411 | 0 | 0.565217 | 0 | 0 | 0.211216 | 0.075996 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.043478 | 0.021739 | 0.173913 | 0.043478 | 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 |
f2b606f246e1cf267d985e5ff3efcca86aeda8cd | 2,237 | py | Python | streamlit_app.py | sebastiandres/xkcd_streamlit | 68b1c01dd8eca34135126ebb33a2d539a0d25650 | [
"MIT"
] | 1 | 2021-07-21T03:20:52.000Z | 2021-07-21T03:20:52.000Z | streamlit_app.py | sebastiandres/xkcd_streamlit | 68b1c01dd8eca34135126ebb33a2d539a0d25650 | [
"MIT"
] | null | null | null | streamlit_app.py | sebastiandres/xkcd_streamlit | 68b1c01dd8eca34135126ebb33a2d539a0d25650 | [
"MIT"
] | null | null | null | import streamlit as st
from xkcd import xkcd_plot
from shared import translate, LANGUAGE_DICT
# Set page properties for the app
st.set_page_config(
page_title="Streamlit & XKCD",
layout="wide",
initial_sidebar_state="expanded",
)
# Initialize the session states - f_list has functions and colors
if 'f_list... | 37.283333 | 93 | 0.644166 | 295 | 2,237 | 4.698305 | 0.355932 | 0.064935 | 0.10101 | 0.054113 | 0.192641 | 0.118326 | 0.047619 | 0.047619 | 0 | 0 | 0 | 0.011312 | 0.209656 | 2,237 | 60 | 94 | 37.283333 | 0.772624 | 0.0827 | 0 | 0.043478 | 0 | 0 | 0.16911 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.065217 | 0 | 0.065217 | 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 |
f2b7c2a6955082c094b447b57a5e843a6c763e15 | 4,693 | py | Python | cyclegan/data/celeba/mask_face_region_with_avail_kpts.py | dingyanna/DepthNets | a13b05e315b0732b6a28594b1343a6940bbab229 | [
"MIT"
] | 114 | 2018-11-27T19:34:13.000Z | 2022-03-26T19:39:00.000Z | cyclegan/data/celeba/mask_face_region_with_avail_kpts.py | dingyanna/DepthNets | a13b05e315b0732b6a28594b1343a6940bbab229 | [
"MIT"
] | 9 | 2018-12-11T09:05:22.000Z | 2021-07-02T21:27:34.000Z | cyclegan/data/celeba/mask_face_region_with_avail_kpts.py | kdh4672/Face_Recognition_With_Augmentation | b0795b97c94bbba1a1e3310670d0868f3eacb479 | [
"MIT"
] | 32 | 2018-12-03T00:52:54.000Z | 2021-08-30T01:45:31.000Z | """
This module masks faces using kpts already detected
"""
import numpy as np
import argparse
import cv2
#from RCN.preprocessing.tools import BGR2Gray
from PIL import Image
import h5py
def get_parsed_keypoints(path):
with open(path) as f:
x = f.read()
y=x.split('\n')
z=[[int(i) for i in ... | 32.818182 | 97 | 0.603665 | 707 | 4,693 | 3.739745 | 0.254597 | 0.029123 | 0.015129 | 0.012103 | 0.142965 | 0.07413 | 0.034039 | 0.034039 | 0.034039 | 0.034039 | 0 | 0.016507 | 0.264223 | 4,693 | 142 | 98 | 33.049296 | 0.749204 | 0.198381 | 0 | 0.025316 | 0 | 0 | 0.048392 | 0.006961 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088608 | false | 0 | 0.063291 | 0 | 0.240506 | 0.037975 | 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 |
f2b7d3d40db3233a8eadd8a94f91fbf6d7c9b69b | 589 | py | Python | task1/task1.py | ZHN202/opencv_learning | f0725955e6e525d3918c1117763bf0aaa4299777 | [
"MIT"
] | 1 | 2021-11-04T03:41:04.000Z | 2021-11-04T03:41:04.000Z | task1/task1.py | ZHN202/opencv_learning | f0725955e6e525d3918c1117763bf0aaa4299777 | [
"MIT"
] | null | null | null | task1/task1.py | ZHN202/opencv_learning | f0725955e6e525d3918c1117763bf0aaa4299777 | [
"MIT"
] | null | null | null | import cv2 as cv
import numpy as np
img = cv.imread('test.png')
# 将图片大小改为1920*1080h,s,v = cv.split(hsvimg)
img = cv.resize(img, dsize=(1920, 1080), fx=1, fy=1, interpolation=cv.INTER_NEAREST)
# hsv图像
hsvimg = cv.cvtColor(img, cv.COLOR_BGR2HSV)
lower_y = np.array([20, 43, 46])
upper_y = np.array([34, 255, 220])
mask ... | 26.772727 | 84 | 0.665535 | 107 | 589 | 3.607477 | 0.570093 | 0.051813 | 0.041451 | 0.041451 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122244 | 0.152801 | 589 | 21 | 85 | 28.047619 | 0.651303 | 0.089983 | 0 | 0 | 0 | 0 | 0.020677 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2ba3f6c4a26d42ba28e90efe9fded89ad4b027a | 385 | py | Python | Importing_&_Managing_Financial_Data/Importing_financial_data_from_the_web/Visualize_a_stock_price_trend.py | RKiddle/python_finance | 7c0ed2998c0f82a0998ba0cb06225453ba8ee3fe | [
"MIT"
] | 1 | 2021-04-28T01:26:38.000Z | 2021-04-28T01:26:38.000Z | Importing_&_Managing_Financial_Data/Importing_financial_data_from_the_web/Visualize_a_stock_price_trend.py | RKiddle/python_finance | 7c0ed2998c0f82a0998ba0cb06225453ba8ee3fe | [
"MIT"
] | null | null | null | Importing_&_Managing_Financial_Data/Importing_financial_data_from_the_web/Visualize_a_stock_price_trend.py | RKiddle/python_finance | 7c0ed2998c0f82a0998ba0cb06225453ba8ee3fe | [
"MIT"
] | null | null | null | # Import matplotlib.pyplot
import matplotlib.pyplot as plt
# Set start and end dates
start = date(2016, 1, 1)
end = date(2016, 12, 31)
# Set the ticker and data_source
ticker = 'FB'
data_source = 'google'
# Import the data using DataReader
stock_prices = DataReader(ticker, data_source, start, end)
# Plot Close
stoc... | 19.25 | 58 | 0.735065 | 60 | 385 | 4.633333 | 0.483333 | 0.107914 | 0.158273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04321 | 0.158442 | 385 | 19 | 59 | 20.263158 | 0.814815 | 0.355844 | 0 | 0 | 0 | 0 | 0.053942 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2bdc8d9084d26a302efcbe7ca92780a65ffbfe3 | 3,722 | py | Python | src/resnet/resnetv2_3stage_gaussian.py | googleinterns/out-of-distribution | 84a2d5af59462f0943f629f742090b485ed50e61 | [
"Apache-2.0"
] | null | null | null | src/resnet/resnetv2_3stage_gaussian.py | googleinterns/out-of-distribution | 84a2d5af59462f0943f629f742090b485ed50e61 | [
"Apache-2.0"
] | null | null | null | src/resnet/resnetv2_3stage_gaussian.py | googleinterns/out-of-distribution | 84a2d5af59462f0943f629f742090b485ed50e61 | [
"Apache-2.0"
] | null | null | null | from typing import List, Union
import torch
from torch import nn
from torch.nn import functional as F
from src.modules.max_mahalanobis import MaxMahalanobis, GaussianResult
from src.modules.normalize import Normalize
from src.resnet.bottleneck_block_v2s3 import create_bottleneck_stage_v2s3
from src.resnet.shared impo... | 35.113208 | 109 | 0.671682 | 503 | 3,722 | 4.755467 | 0.308151 | 0.050167 | 0.0301 | 0.047659 | 0.204013 | 0.204013 | 0.160117 | 0.156355 | 0.156355 | 0.156355 | 0 | 0.053155 | 0.21655 | 3,722 | 105 | 110 | 35.447619 | 0.767147 | 0.112037 | 0 | 0.056338 | 0 | 0 | 0.043438 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112676 | false | 0 | 0.112676 | 0 | 0.450704 | 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 |
f2c0ef753b4cd8675d6db691f0d1c053e49d0236 | 504 | py | Python | assignments/Exercise_Lecture73_Phumeth.P.py | ZnoKunG/PythonProject | 388b5dfeb0161aee66094e7b2ecc2d6ed13588bd | [
"MIT"
] | null | null | null | assignments/Exercise_Lecture73_Phumeth.P.py | ZnoKunG/PythonProject | 388b5dfeb0161aee66094e7b2ecc2d6ed13588bd | [
"MIT"
] | null | null | null | assignments/Exercise_Lecture73_Phumeth.P.py | ZnoKunG/PythonProject | 388b5dfeb0161aee66094e7b2ecc2d6ed13588bd | [
"MIT"
] | null | null | null | systemMenu = {"ไก่ทอด": 35, "เป็ดทอด": 45, "ปลาทอด": 55, "ผักทอด": 20}
menuList = []
def showBill():
print("---- My Food----")
totalPrice = 0
for number in range(len(menuList)):
print(menuList[number][0],menuList[number][1])
totalPrice += int(menuList[number][1])
print("Totalprice :", t... | 28 | 70 | 0.613095 | 63 | 504 | 4.952381 | 0.68254 | 0.134615 | 0.096154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029484 | 0.19246 | 504 | 18 | 71 | 28 | 0.72973 | 0 | 0 | 0 | 0 | 0 | 0.150495 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0 | 0 | 0.0625 | 0.1875 | 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 |
f2c15988d8527886dc69eb42d21e16810aed3ba2 | 2,229 | py | Python | FetchTextFromRISE.py | RISE-MPIWG/hylg | 7d49e7aed0623d9730d5c8933030954fa8f729b0 | [
"MIT"
] | 1 | 2020-05-30T02:29:36.000Z | 2020-05-30T02:29:36.000Z | FetchTextFromRISE.py | RISE-MPIWG/hylg | 7d49e7aed0623d9730d5c8933030954fa8f729b0 | [
"MIT"
] | null | null | null | FetchTextFromRISE.py | RISE-MPIWG/hylg | 7d49e7aed0623d9730d5c8933030954fa8f729b0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import requests
import os
# 6000 is a large number to make sure we get all the components of a collection. Please do note that RISE also has a pagination feature,
# which can be implemented by clients if they wish.
per_page = 6000
# getting the list of collections that the user has access to:
... | 39.803571 | 139 | 0.682369 | 291 | 2,229 | 5.106529 | 0.323024 | 0.028264 | 0.037685 | 0.053836 | 0.168237 | 0.168237 | 0.168237 | 0.131898 | 0.131898 | 0.079408 | 0 | 0.009471 | 0.194706 | 2,229 | 56 | 140 | 39.803571 | 0.818384 | 0.224764 | 0 | 0 | 0 | 0.027778 | 0.232829 | 0.016298 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0.194444 | 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 |
f2c4872a061796a24a75f519586680551cd85468 | 348 | py | Python | data.py | alantess/DDQN-BTC | 0fff185200dd1c16088dc322cbb7790b848c1e6d | [
"MIT"
] | 2 | 2021-01-12T08:59:54.000Z | 2022-02-07T23:41:49.000Z | data.py | alantess/DDQN-BTC | 0fff185200dd1c16088dc322cbb7790b848c1e6d | [
"MIT"
] | null | null | null | data.py | alantess/DDQN-BTC | 0fff185200dd1c16088dc322cbb7790b848c1e6d | [
"MIT"
] | null | null | null | import pandas as pd
import matplotlib.pyplot as plt
def retrieve_data():
train_data = 'data/Nov_btc.csv'
test_data = 'data/btc_test_data.csv'
df = pd.read_csv(test_data)
df = df.drop(columns=['date', 'weighted','volume'])
# Columns are set at close, high, low and open.
df = df.dropna()
data = ... | 23.2 | 55 | 0.666667 | 55 | 348 | 4.072727 | 0.6 | 0.107143 | 0.098214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.20977 | 348 | 14 | 56 | 24.857143 | 0.814545 | 0.12931 | 0 | 0 | 0 | 0 | 0.187291 | 0.073579 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | 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 |
f2c664d27fab22d77e93ebebd90d26fccfda0d77 | 4,715 | py | Python | main.py | lucaswerner90/upc_dl_project_2021 | c02061da0e25a0b24a9b742074b87ac30f36586d | [
"MIT"
] | 2 | 2021-07-15T12:30:43.000Z | 2021-11-04T07:50:16.000Z | main.py | lucaswerner90/upc_dl_project_2021 | c02061da0e25a0b24a9b742074b87ac30f36586d | [
"MIT"
] | 30 | 2021-05-03T07:37:37.000Z | 2021-07-01T18:53:23.000Z | main.py | lucaswerner90/upc_dl_project_2021 | c02061da0e25a0b24a9b742074b87ac30f36586d | [
"MIT"
] | 1 | 2021-06-21T11:12:32.000Z | 2021-06-21T11:12:32.000Z | import argparse
import os
import torch
import torch.nn as nn
import torch.optim as optim
import argparse
from torch.utils.data import DataLoader
from torchvision import transforms
from dataset.main import Flickr8kDataset
from dataset.caps_collate import CapsCollate
from dataset.download import DownloadDataset
from mode... | 45.336538 | 196 | 0.759915 | 671 | 4,715 | 5.208644 | 0.304024 | 0.025751 | 0.048641 | 0.034335 | 0.25608 | 0.224034 | 0.198856 | 0.198856 | 0.198856 | 0.198856 | 0 | 0.029545 | 0.109862 | 4,715 | 103 | 197 | 45.776699 | 0.803193 | 0.074019 | 0 | 0.202532 | 0 | 0 | 0.241854 | 0.033502 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012658 | false | 0 | 0.177215 | 0 | 0.189873 | 0.025316 | 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 |
f2c78a6895c6f2bb08f5bc34684b1ca6a132fd79 | 2,050 | py | Python | tests/FasterSubsetSumTests/test_randomizedBase.py | joakiti/Benchmark-SubsetSums | a875b5adf7f800d26b73516452904031c73ec29d | [
"MIT"
] | null | null | null | tests/FasterSubsetSumTests/test_randomizedBase.py | joakiti/Benchmark-SubsetSums | a875b5adf7f800d26b73516452904031c73ec29d | [
"MIT"
] | null | null | null | tests/FasterSubsetSumTests/test_randomizedBase.py | joakiti/Benchmark-SubsetSums | a875b5adf7f800d26b73516452904031c73ec29d | [
"MIT"
] | null | null | null | import unittest
from unittest import TestCase
from Implementations.FastIntegersFromGit import FastIntegersFromGit
from Implementations.helpers.Helper import ListToPolynomial, toNumbers
from Implementations.FasterSubsetSum.RandomizedBase import NearLinearBase
from benchmarks.test_distributions import Distributions as d... | 38.679245 | 112 | 0.661463 | 271 | 2,050 | 4.918819 | 0.346863 | 0.022506 | 0.031508 | 0.03901 | 0.335334 | 0.288822 | 0.288822 | 0.225806 | 0.213803 | 0.213803 | 0 | 0.083386 | 0.227805 | 2,050 | 52 | 113 | 39.423077 | 0.758686 | 0.04439 | 0 | 0.268293 | 0 | 0 | 0.070041 | 0 | 0 | 0 | 0 | 0 | 0.097561 | 1 | 0.146341 | false | 0 | 0.146341 | 0 | 0.317073 | 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 |
f2ca9fdc60f3ee0343b7c18df16ab40ecebc987e | 4,744 | py | Python | web/fabric_utils/deploy.py | kbarnes3/guidcoin | c9011a00f18bbd181a538a553950dbc0e8c1a05e | [
"BSD-2-Clause"
] | null | null | null | web/fabric_utils/deploy.py | kbarnes3/guidcoin | c9011a00f18bbd181a538a553950dbc0e8c1a05e | [
"BSD-2-Clause"
] | null | null | null | web/fabric_utils/deploy.py | kbarnes3/guidcoin | c9011a00f18bbd181a538a553950dbc0e8c1a05e | [
"BSD-2-Clause"
] | null | null | null | from fabric.api import cd, run, settings, sudo
configurations = {
'daily': {
'branch': 'master',
'ssl': False,
},
'dev': {
'branch': 'master',
'ssl': False,
},
'prod': {
'branch': 'prod',
'ssl': False,
},
'staging': {
'... | 35.669173 | 92 | 0.620784 | 617 | 4,744 | 4.60778 | 0.226904 | 0.032008 | 0.039395 | 0.021104 | 0.450229 | 0.308477 | 0.236722 | 0.145973 | 0.11924 | 0.071755 | 0 | 0.020563 | 0.220911 | 4,744 | 132 | 93 | 35.939394 | 0.748647 | 0.036889 | 0 | 0.222222 | 0 | 0 | 0.309948 | 0.120009 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.010101 | 0 | 0.10101 | 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 |
f2cace32420ebacd10ddd9012cee72a53278a13e | 1,863 | py | Python | sorts/4.Tree_sort.py | 18-2-SKKU-OSS/2018-2-OSS-E5-- | 8bb7e4c239f5bd95f4635b442bb8b2838e76fb36 | [
"MIT"
] | 4 | 2018-12-02T14:21:02.000Z | 2019-02-28T04:15:42.000Z | sorts/4.Tree_sort.py | 18-2-SKKU-OSS/2018-2-OSS-E5 | 8bb7e4c239f5bd95f4635b442bb8b2838e76fb36 | [
"MIT"
] | 25 | 2018-11-27T10:00:05.000Z | 2018-12-11T01:58:46.000Z | sorts/4.Tree_sort.py | 18-2-SKKU-OSS/2018-2-OSS-E5-- | 8bb7e4c239f5bd95f4635b442bb8b2838e76fb36 | [
"MIT"
] | null | null | null | """
파이썬으로 Tree Sort를 구현한 코드입니다.
정확히 말하자면 Binary Search Tree를 구현하였습니다.
Binary Search Tree는
각 노드에 값이 있다.
Root 노드가 존재한다.
노드의 왼쪽 서브트리에는 그 노드의 값보다 작은 값들을 지닌 노드들로 이루어져있다.
노드의 오른쪽 서브트리에는 그 노드의 값과 같거나 큰 값들을 지닌 노드들로 이루어져있다.
좌우 하위 트리는 각각이 다시 Binary Search Tree 이어야 합니다.
"""
from __future__ import print_funct... | 28.661538 | 79 | 0.570585 | 265 | 1,863 | 3.928302 | 0.45283 | 0.04707 | 0.065322 | 0.028818 | 0.034582 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004882 | 0.340311 | 1,863 | 64 | 80 | 29.109375 | 0.842148 | 0.258722 | 0 | 0.116279 | 0 | 0 | 0.036249 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0.023256 | 0 | 0.186047 | 0.046512 | 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 |
f2cb9232d1beaf4ae9243ec51c0966d350c75625 | 446 | py | Python | rules/helpers.py | prokoptsev/rules | 436348004aa34c2e50d71960dad2076719fc433b | [
"MIT"
] | null | null | null | rules/helpers.py | prokoptsev/rules | 436348004aa34c2e50d71960dad2076719fc433b | [
"MIT"
] | 1 | 2017-02-01T08:56:08.000Z | 2017-02-01T08:56:08.000Z | rules/helpers.py | prokoptsev/rules | 436348004aa34c2e50d71960dad2076719fc433b | [
"MIT"
] | 1 | 2019-11-08T10:44:43.000Z | 2019-11-08T10:44:43.000Z | # coding: utf-8
from __future__ import unicode_literals, absolute_import
_NOTSET = type(
b"NotSet",
(object,),
{"__repr__": lambda self: "<ValueNotSet>"}
)()
def get_by_path(keys, source_dict):
if "." in keys:
key, tail_keys = keys.split(".", 1)
if key not in source_dict:
... | 24.777778 | 56 | 0.632287 | 59 | 446 | 4.389831 | 0.559322 | 0.15444 | 0.069498 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005952 | 0.246637 | 446 | 18 | 57 | 24.777778 | 0.764881 | 0.029148 | 0 | 0 | 0 | 0 | 0.06713 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.357143 | 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 |
4b2bca30173574ead32b90a8d29f7a356f54d612 | 3,030 | py | Python | e2e/Vectors/Generation/Consensus/Beaten.py | kayabaNerve/Currency | 260ebc20f1704f42ad6183fee39ad58ec6d07961 | [
"CC0-1.0"
] | 66 | 2019-01-14T08:39:52.000Z | 2022-01-06T11:39:15.000Z | e2e/Vectors/Generation/Consensus/Beaten.py | kayabaNerve/Currency | 260ebc20f1704f42ad6183fee39ad58ec6d07961 | [
"CC0-1.0"
] | 228 | 2019-01-16T15:42:44.000Z | 2022-02-05T07:48:07.000Z | e2e/Vectors/Generation/Consensus/Beaten.py | kayabaNerve/Currency | 260ebc20f1704f42ad6183fee39ad58ec6d07961 | [
"CC0-1.0"
] | 19 | 2019-01-14T08:53:04.000Z | 2021-11-03T20:19:28.000Z | from typing import List
import json
import e2e.Libs.Ristretto.Ristretto as Ristretto
from e2e.Libs.BLS import PrivateKey
from e2e.Classes.Transactions.Transactions import Claim, Send, Transactions
from e2e.Classes.Consensus.Verification import SignedVerification
from e2e.Classes.Consensus.VerificationPacket import V... | 29.705882 | 89 | 0.718482 | 381 | 3,030 | 5.706037 | 0.249344 | 0.022539 | 0.080037 | 0.096596 | 0.295768 | 0.282889 | 0.23873 | 0.23873 | 0.23873 | 0.23873 | 0 | 0.032867 | 0.126403 | 3,030 | 101 | 90 | 30 | 0.78844 | 0.067657 | 0 | 0.236842 | 0 | 0 | 0.03617 | 0.021277 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.131579 | 0 | 0.131579 | 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 |
4b2c8fbe001a03db6be5e0e2f8295d8600500dd8 | 5,105 | py | Python | main/pythonDev/TestModels/sphericalJointTest.py | eapcivil/EXUDYN | 52bddc8c258cda07e51373f68e1198b66c701d03 | [
"BSD-3-Clause-Open-MPI"
] | 1 | 2020-10-06T08:06:25.000Z | 2020-10-06T08:06:25.000Z | main/pythonDev/TestModels/sphericalJointTest.py | eapcivil/EXUDYN | 52bddc8c258cda07e51373f68e1198b66c701d03 | [
"BSD-3-Clause-Open-MPI"
] | null | null | null | main/pythonDev/TestModels/sphericalJointTest.py | eapcivil/EXUDYN | 52bddc8c258cda07e51373f68e1198b66c701d03 | [
"BSD-3-Clause-Open-MPI"
] | null | null | null | #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# This is an EXUDYN example
#
# Details: Simulate Chain with 3D rigid bodies and SphericalJoint;
# Also test MarkerNodePosition
#
# Author: Johannes Gerstmayr
# Date: 2020-04-09
#
# Copyright:This file is part of Exudyn. Exu... | 40.84 | 181 | 0.681097 | 560 | 5,105 | 6.203571 | 0.419643 | 0.009787 | 0.007772 | 0.046056 | 0.117444 | 0.058146 | 0.056131 | 0.056131 | 0.056131 | 0 | 0 | 0.039886 | 0.174927 | 5,105 | 124 | 182 | 41.169355 | 0.7849 | 0.326934 | 0 | 0.028169 | 0 | 0 | 0.022399 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.084507 | 0 | 0.084507 | 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 |
4b315d99b885f67bca9bd8f9e32645470a5d8448 | 1,915 | py | Python | inference/online_inference/src/app.py | made-ml-in-prod-2021/marina-zav | 7b4b6e5f333707001e36dfb014dcd36bf975d969 | [
"FTL"
] | null | null | null | inference/online_inference/src/app.py | made-ml-in-prod-2021/marina-zav | 7b4b6e5f333707001e36dfb014dcd36bf975d969 | [
"FTL"
] | null | null | null | inference/online_inference/src/app.py | made-ml-in-prod-2021/marina-zav | 7b4b6e5f333707001e36dfb014dcd36bf975d969 | [
"FTL"
] | null | null | null | import logging
import sys
import time
from typing import List, Optional
import uvicorn
from fastapi import FastAPI
from fastapi.exceptions import RequestValidationError
from fastapi.responses import PlainTextResponse
from sklearn.pipeline import Pipeline
from src.entities import (
read_app_params,
HeartDiseas... | 26.232877 | 80 | 0.769191 | 245 | 1,915 | 5.812245 | 0.379592 | 0.063202 | 0.027388 | 0.02809 | 0.223315 | 0.192416 | 0.192416 | 0.192416 | 0.075843 | 0.075843 | 0 | 0.003001 | 0.130026 | 1,915 | 72 | 81 | 26.597222 | 0.851741 | 0.025065 | 0 | 0.078431 | 0 | 0 | 0.116354 | 0.024665 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.215686 | 0.078431 | 0.431373 | 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 |
4b34659c04f2dfee8c71b653e9b765ff930cf91e | 8,040 | py | Python | serverCollector.py | VertexC/pipot-server | 0e2c9b0e34a589d9813301765ef8d2433ef67869 | [
"ISC"
] | 4 | 2019-02-11T12:43:08.000Z | 2019-03-23T06:59:38.000Z | serverCollector.py | VertexC/pipot-server | 0e2c9b0e34a589d9813301765ef8d2433ef67869 | [
"ISC"
] | 25 | 2019-02-26T17:16:58.000Z | 2019-08-19T03:36:56.000Z | serverCollector.py | VertexC/pipot-server | 0e2c9b0e34a589d9813301765ef8d2433ef67869 | [
"ISC"
] | 5 | 2019-01-15T06:32:21.000Z | 2020-01-10T11:58:43.000Z | import hashlib
import hmac
import json
import datetime
from abc import ABCMeta, abstractmethod
from twisted.internet import protocol
from mod_config.models import Rule, Actions
from mod_honeypot.models import PiPotReport, Deployment
from pipot.encryption import Encryption
from pipot.notifications import Notification... | 37.924528 | 78 | 0.486318 | 691 | 8,040 | 5.526773 | 0.287988 | 0.037444 | 0.014402 | 0.015711 | 0.093218 | 0.039801 | 0.039801 | 0.023566 | 0 | 0 | 0 | 0.001114 | 0.441915 | 8,040 | 211 | 79 | 38.104265 | 0.850011 | 0.114801 | 0 | 0.25 | 0 | 0 | 0.093275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.094595 | false | 0.047297 | 0.074324 | 0.006757 | 0.243243 | 0.094595 | 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 |
4b3702971613873f8e0d3ea487888d2084d6acd1 | 4,852 | py | Python | pyhttptest/decorators.py | NickMitin/pyhttptest | 5116caf3962dab63d62bffe94b0659f435b3e2d3 | [
"BSD-3-Clause"
] | 142 | 2019-10-22T11:19:44.000Z | 2021-11-09T11:05:27.000Z | pyhttptest/decorators.py | NickMitin/pyhttptest | 5116caf3962dab63d62bffe94b0659f435b3e2d3 | [
"BSD-3-Clause"
] | 5 | 2019-10-22T14:43:39.000Z | 2020-10-09T13:25:24.000Z | pyhttptest/decorators.py | NickMitin/pyhttptest | 5116caf3962dab63d62bffe94b0659f435b3e2d3 | [
"BSD-3-Clause"
] | 14 | 2019-10-23T18:27:58.000Z | 2020-09-22T01:07:39.000Z | from sys import modules
from functools import wraps
from jsonschema import validate
from pyhttptest.constants import (
HTTP_METHOD_NAMES,
JSON_FILE_EXTENSION,
)
from pyhttptest.exceptions import (
FileExtensionError,
HTTPMethodNotSupportedError
)
from pyhttptest.http_schemas import ( # noqa
get_s... | 31.303226 | 82 | 0.61789 | 561 | 4,852 | 5.187166 | 0.244207 | 0.049141 | 0.027491 | 0.013746 | 0.341581 | 0.269416 | 0.17732 | 0.153952 | 0.14433 | 0.105842 | 0 | 0.000298 | 0.307708 | 4,852 | 154 | 83 | 31.506494 | 0.866032 | 0.395095 | 0 | 0.217949 | 0 | 0 | 0.135834 | 0.008376 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0.038462 | 0.076923 | 0 | 0.230769 | 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 |
4b3983c191ae8db18994072c0ce7b31ca01543db | 12,081 | py | Python | python/test/lib/zk/cache_test.py | cschutijser/scion | 054cef53b31a577ed224a090d6a4fd3883fd520b | [
"Apache-2.0"
] | 1 | 2018-03-18T14:46:34.000Z | 2018-03-18T14:46:34.000Z | python/test/lib/zk/cache_test.py | cschutijser/scion | 054cef53b31a577ed224a090d6a4fd3883fd520b | [
"Apache-2.0"
] | 1 | 2020-03-20T01:28:56.000Z | 2020-03-20T01:28:56.000Z | python/test/lib/zk/cache_test.py | cschutijser/scion | 054cef53b31a577ed224a090d6a4fd3883fd520b | [
"Apache-2.0"
] | 2 | 2020-03-14T16:03:27.000Z | 2020-03-18T08:13:19.000Z | # Copyright 2015 ETH Zurich
#
# 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, sof... | 36.279279 | 77 | 0.631653 | 1,397 | 12,081 | 5.163207 | 0.143164 | 0.022182 | 0.042978 | 0.076528 | 0.66089 | 0.634271 | 0.61708 | 0.60086 | 0.552752 | 0.516013 | 0 | 0.008697 | 0.238556 | 12,081 | 332 | 78 | 36.388554 | 0.77541 | 0.093866 | 0 | 0.541126 | 0 | 0 | 0.126319 | 0.06848 | 0 | 0 | 0 | 0 | 0.112554 | 1 | 0.108225 | false | 0 | 0.030303 | 0 | 0.17316 | 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 |
4b3b08e4408a36e23ecf7b49e3efe15dedf8336d | 2,347 | py | Python | scripts/macro-f1-tag.py | shuoyangd/stenella | a677c67c602f2229e4452ed7f38b778897df51c0 | [
"MIT"
] | 1 | 2021-11-09T04:57:24.000Z | 2021-11-09T04:57:24.000Z | scripts/macro-f1-tag.py | shuoyangd/stenella | a677c67c602f2229e4452ed7f38b778897df51c0 | [
"MIT"
] | null | null | null | scripts/macro-f1-tag.py | shuoyangd/stenella | a677c67c602f2229e4452ed7f38b778897df51c0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright © 2021 Shuoyang Ding <shuoyangd@gmail.com>
# Created on 2021-02-11
#
# Distributed under terms of the MIT license.
import argparse
import logging
import math
import sys
logging.basicConfig(
format='%(asctime)s %(levelname)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S', level=lo... | 27.611765 | 127 | 0.647635 | 377 | 2,347 | 3.835544 | 0.334218 | 0.055325 | 0.033195 | 0.03112 | 0.17704 | 0.102351 | 0.062241 | 0.062241 | 0.029046 | 0 | 0 | 0.030818 | 0.198125 | 2,347 | 84 | 128 | 27.940476 | 0.736982 | 0.059651 | 0 | 0.116667 | 0 | 0.033333 | 0.222273 | 0.022727 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.066667 | 0.016667 | 0.116667 | 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 |
4b3bc0d2b44d013537c672eed0453f853feeca74 | 8,865 | py | Python | Stack/Solutions_Two.py | daniel-zeiler/potential-happiness | 1c9d503a52c35dab8b031f72e63725578735ac73 | [
"MIT"
] | null | null | null | Stack/Solutions_Two.py | daniel-zeiler/potential-happiness | 1c9d503a52c35dab8b031f72e63725578735ac73 | [
"MIT"
] | null | null | null | Stack/Solutions_Two.py | daniel-zeiler/potential-happiness | 1c9d503a52c35dab8b031f72e63725578735ac73 | [
"MIT"
] | null | null | null | import collections
from typing import List
def maxDepth(s: str) -> int:
stack = []
max_depth = 0
for character in s:
if character == '(':
stack.append(character)
elif character == ')':
stack.pop()
max_depth = max(max_depth, len(stack))
return max_depth
... | 24.901685 | 77 | 0.502538 | 1,006 | 8,865 | 4.360835 | 0.125249 | 0.065193 | 0.031912 | 0.030773 | 0.300433 | 0.249829 | 0.226579 | 0.181901 | 0.134488 | 0.134488 | 0 | 0.014521 | 0.370784 | 8,865 | 355 | 78 | 24.971831 | 0.771961 | 0 | 0 | 0.417808 | 0 | 0 | 0.003835 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075342 | false | 0 | 0.006849 | 0 | 0.164384 | 0.003425 | 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 |
4b3c016c7ef444898f5da6f026c91b333cec123a | 4,684 | py | Python | scripts/pklhisto2root.py | umd-lhcb/lhcb-ntuples-gen | d306895a0dc6bad2def19ca3d7d1304a5a9be239 | [
"BSD-2-Clause"
] | null | null | null | scripts/pklhisto2root.py | umd-lhcb/lhcb-ntuples-gen | d306895a0dc6bad2def19ca3d7d1304a5a9be239 | [
"BSD-2-Clause"
] | 105 | 2018-12-20T19:09:19.000Z | 2022-03-19T09:53:06.000Z | scripts/pklhisto2root.py | umd-lhcb/lhcb-ntuples-gen | d306895a0dc6bad2def19ca3d7d1304a5a9be239 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
#
# Stolen almost verbatim from:
# https://gitlab.cern.ch/lhcb-rta/pidcalib2/-/blob/master/src/pidcalib2/pklhisto2root.py
###############################################################################
# (c) Copyright 2021 CERN for the benefit of the LHCb Collaboration #
# ... | 35.755725 | 107 | 0.604825 | 608 | 4,684 | 4.508224 | 0.305921 | 0.068953 | 0.092302 | 0.039402 | 0.305728 | 0.263043 | 0.263043 | 0.249909 | 0.242977 | 0.242977 | 0 | 0.018036 | 0.25427 | 4,684 | 130 | 108 | 36.030769 | 0.766676 | 0.308924 | 0 | 0.2 | 0 | 0 | 0.048602 | 0.006991 | 0 | 0 | 0 | 0 | 0.013333 | 1 | 0.04 | false | 0.04 | 0.093333 | 0 | 0.146667 | 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 |
4b42581465b8edd2e244428913cc73b52bb89dd0 | 1,964 | py | Python | ASC/Teme/tema1/consumer.py | mihai-constantin/ACS | 098c99d82dad8fb5d0e909da930c72f1185a99e2 | [
"Apache-2.0"
] | null | null | null | ASC/Teme/tema1/consumer.py | mihai-constantin/ACS | 098c99d82dad8fb5d0e909da930c72f1185a99e2 | [
"Apache-2.0"
] | null | null | null | ASC/Teme/tema1/consumer.py | mihai-constantin/ACS | 098c99d82dad8fb5d0e909da930c72f1185a99e2 | [
"Apache-2.0"
] | null | null | null | """
This module represents the Consumer.
Computer Systems Architecture Course
Assignment 1
March 2020
"""
from threading import Thread
from time import sleep
class Consumer(Thread):
"""
Class that represents a consumer.
"""
def __init__(self, carts, marketplace, retry_wait_time, **kwargs):
"... | 30.215385 | 85 | 0.563646 | 211 | 1,964 | 5.042654 | 0.341232 | 0.050752 | 0.073308 | 0.031955 | 0.039474 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008032 | 0.36609 | 1,964 | 64 | 86 | 30.6875 | 0.846586 | 0.26833 | 0 | 0.133333 | 0 | 0 | 0.019712 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b42f8a4c4ed9dadeb6bc01da50d750be154d614 | 978 | py | Python | rnn_based/model2.py | gunkaynar/heart_anomaly | 94ea2700e2c4d79028e0448022f6857df3c35e04 | [
"MIT"
] | null | null | null | rnn_based/model2.py | gunkaynar/heart_anomaly | 94ea2700e2c4d79028e0448022f6857df3c35e04 | [
"MIT"
] | null | null | null | rnn_based/model2.py | gunkaynar/heart_anomaly | 94ea2700e2c4d79028e0448022f6857df3c35e04 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch
import numpy as np
from torch.autograd import Variable
class RNNModel(nn.Module):
def __init__(self, input_dim, hidden_dim, layer_dim, output_dim):
super(RNNModel, self).__init__()
self.hidden_dim = hidden_dim
self.layer_dim = layer_dim
self.rnn = ... | 31.548387 | 98 | 0.649284 | 158 | 978 | 3.803797 | 0.341772 | 0.08985 | 0.0599 | 0.056572 | 0.083195 | 0.083195 | 0 | 0 | 0 | 0 | 0 | 0.009223 | 0.223926 | 978 | 30 | 99 | 32.6 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0.00409 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.16 | 0 | 0.44 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b44ab85799151e1020d7bb62b4190682ce5fa39 | 1,974 | py | Python | src/entities/report/actions/consult.py | LuisArmando-TestCoder/ShareGraph | fa89d37c8fe522c526b903fe25bd1e22fd769425 | [
"MIT"
] | null | null | null | src/entities/report/actions/consult.py | LuisArmando-TestCoder/ShareGraph | fa89d37c8fe522c526b903fe25bd1e22fd769425 | [
"MIT"
] | null | null | null | src/entities/report/actions/consult.py | LuisArmando-TestCoder/ShareGraph | fa89d37c8fe522c526b903fe25bd1e22fd769425 | [
"MIT"
] | null | null | null | from utilities.getStore import getStore
filePath = "./entities/bill/store.json"
productFilePath = "./entities/product/store.json"
def getProduct(name):
for product in getStore(productFilePath):
if product["name"] == name:
return product
def getProductBillsAverage(name):
productPriceSummat... | 28.608696 | 103 | 0.644377 | 191 | 1,974 | 6.659686 | 0.277487 | 0.012579 | 0.021226 | 0.040094 | 0.208333 | 0.132075 | 0.080189 | 0 | 0 | 0 | 0 | 0.00684 | 0.259372 | 1,974 | 68 | 104 | 29.029412 | 0.863201 | 0.019757 | 0 | 0.122449 | 0 | 0 | 0.19824 | 0.076605 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122449 | false | 0 | 0.020408 | 0 | 0.183673 | 0.102041 | 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 |
4b44b5778d0cc6b0adc1458cef3d5591585dd53d | 1,826 | py | Python | discordbot.py | kinotan/discordpy-startup | 1505c4f78deff7f793de75985e669ee84a78a3f2 | [
"MIT"
] | null | null | null | discordbot.py | kinotan/discordpy-startup | 1505c4f78deff7f793de75985e669ee84a78a3f2 | [
"MIT"
] | null | null | null | discordbot.py | kinotan/discordpy-startup | 1505c4f78deff7f793de75985e669ee84a78a3f2 | [
"MIT"
] | null | null | null | #discord.pyのインポート
from asyncio import sleep
import discord
client = discord.Client()
#BOTログイン処理
@client.event
async def on_ready():
print('Logged in as')
print(client.user.name)
print(client.user.id)
print('------')
await client.change_presence(game=discord.Game(name='!delchat *'))
# BOT動作プログラム
@cli... | 37.265306 | 107 | 0.545455 | 179 | 1,826 | 5.452514 | 0.385475 | 0.090164 | 0.069672 | 0.064549 | 0.332992 | 0.289959 | 0.289959 | 0.246926 | 0.204918 | 0.204918 | 0 | 0.010213 | 0.356517 | 1,826 | 48 | 108 | 38.041667 | 0.820426 | 0.083242 | 0 | 0.294118 | 0 | 0 | 0.060205 | 0.013245 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 0.117647 | 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 |
4b465725a6717037599028f9aa649996198118b6 | 268 | py | Python | exec-shell.py | zqsheng/snippet | cb14300fc62c616d48e6552ad93c6d33b5e8c9a1 | [
"Apache-2.0"
] | 1 | 2018-09-10T11:31:33.000Z | 2018-09-10T11:31:33.000Z | exec-shell.py | zqsheng/snippet | cb14300fc62c616d48e6552ad93c6d33b5e8c9a1 | [
"Apache-2.0"
] | null | null | null | exec-shell.py | zqsheng/snippet | cb14300fc62c616d48e6552ad93c6d33b5e8c9a1 | [
"Apache-2.0"
] | null | null | null | import os
import time
exec_count = 100
cmds = []
cmds.append("tar -cPzf /opt/web.tar.gz /opt/web/ /opt/soft")
cmds.append("rm -f /opt/web.tar.gz")
for i in range(exec_count):
for cmd in cmds:
if os.system(cmd) != 0:
break
time.sleep(1) | 24.363636 | 60 | 0.604478 | 47 | 268 | 3.404255 | 0.574468 | 0.1125 | 0.1125 | 0.1375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02451 | 0.238806 | 268 | 11 | 61 | 24.363636 | 0.759804 | 0 | 0 | 0 | 0 | 0 | 0.245353 | 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 |
4b48d527c36dcd783a13d6a5609545147bc8c89c | 45,165 | py | Python | platform/hwconf_data/zgm13/PythonSnippet/ExporterModel.py | lenloe1/v2.7 | 9ac9c4a7bb37987af382c80647f42d84db5f2e1d | [
"Zlib"
] | null | null | null | platform/hwconf_data/zgm13/PythonSnippet/ExporterModel.py | lenloe1/v2.7 | 9ac9c4a7bb37987af382c80647f42d84db5f2e1d | [
"Zlib"
] | 1 | 2020-08-25T02:36:22.000Z | 2020-08-25T02:36:22.000Z | platform/hwconf_data/zgm13/PythonSnippet/ExporterModel.py | lenloe1/v2.7 | 9ac9c4a7bb37987af382c80647f42d84db5f2e1d | [
"Zlib"
] | 1 | 2020-08-25T01:56:04.000Z | 2020-08-25T01:56:04.000Z | from . import types
from . import dep
from . import RuntimeModel
from . import Metadata
class Property(object):
def __init__(self, name, description, namespace='', visible=False, readonly=False, define_name=None, long_description=None):
'''
:param name: Name of the property (string)
:param... | 44.497537 | 179 | 0.613949 | 5,201 | 45,165 | 5.138819 | 0.080946 | 0.017959 | 0.01347 | 0.024956 | 0.444607 | 0.391814 | 0.342612 | 0.302915 | 0.286976 | 0.27968 | 0 | 0.003121 | 0.28356 | 45,165 | 1,014 | 180 | 44.54142 | 0.822857 | 0.112499 | 0 | 0.289474 | 0 | 0 | 0.056353 | 0.000589 | 0 | 0 | 0.000512 | 0.000986 | 0 | 1 | 0.097953 | false | 0.002924 | 0.005848 | 0.002924 | 0.154971 | 0.008772 | 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 |
4b4ddf5eeb83ed879035c41d407475a7baf89592 | 6,320 | py | Python | benchmark/HIGGS/explore/contour_nll.py | victor-estrade/SystGradDescent | 822e7094290301ec47a99433381a8d6406798aff | [
"MIT"
] | 2 | 2019-03-20T09:05:02.000Z | 2019-03-20T15:23:44.000Z | benchmark/HIGGS/explore/contour_nll.py | victor-estrade/SystGradDescent | 822e7094290301ec47a99433381a8d6406798aff | [
"MIT"
] | null | null | null | benchmark/HIGGS/explore/contour_nll.py | victor-estrade/SystGradDescent | 822e7094290301ec47a99433381a8d6406798aff | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import os
import logging
import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from config impor... | 39.012346 | 125 | 0.708861 | 1,012 | 6,320 | 4.222332 | 0.151186 | 0.039785 | 0.041189 | 0.043061 | 0.566113 | 0.494734 | 0.428739 | 0.39106 | 0.361573 | 0.321086 | 0 | 0.009211 | 0.158228 | 6,320 | 161 | 126 | 39.254658 | 0.793985 | 0.008861 | 0 | 0.322835 | 0 | 0 | 0.07637 | 0.012143 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03937 | false | 0 | 0.188976 | 0 | 0.228346 | 0.015748 | 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 |
4b5611952b114a3d2cf44eadfe8d22e693d8c643 | 682 | py | Python | python_fundamentals/Multiple_Sum_Average/index.py | justnclrk/Python | 0922961cbd94694a69ae8132a5c33baf552d8d89 | [
"MIT"
] | null | null | null | python_fundamentals/Multiple_Sum_Average/index.py | justnclrk/Python | 0922961cbd94694a69ae8132a5c33baf552d8d89 | [
"MIT"
] | 8 | 2020-06-06T01:02:06.000Z | 2022-03-12T00:24:13.000Z | python_fundamentals/Multiple_Sum_Average/index.py | justnclrk/Python | 0922961cbd94694a69ae8132a5c33baf552d8d89 | [
"MIT"
] | null | null | null | # Multiples -- Part I - Write code that prints all the odd numbers from 1 to 1000. Use the for loop and don't use a list to do this exercise
for i in range(1, 1000, 2):
print(i)
# Multiples -- Part II - Create another program that prints all the multiples of 5 from 5 to 1,000,000
for m in range(5, 1000000, 5):
... | 40.117647 | 140 | 0.64956 | 141 | 682 | 3.141844 | 0.361702 | 0.090293 | 0.027088 | 0.045147 | 0.311512 | 0.230248 | 0.230248 | 0 | 0 | 0 | 0 | 0.123574 | 0.228739 | 682 | 16 | 141 | 42.625 | 0.718631 | 0.667155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 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 |
4b5646cef1fca290360a2f8a03244f3cf60a9b62 | 2,817 | py | Python | examples/gen9_valset_test.py | mgesteiro/pyubx2 | 02fd8fa2863b88ed2d746b5800717a1b6b213181 | [
"BSD-3-Clause"
] | null | null | null | examples/gen9_valset_test.py | mgesteiro/pyubx2 | 02fd8fa2863b88ed2d746b5800717a1b6b213181 | [
"BSD-3-Clause"
] | null | null | null | examples/gen9_valset_test.py | mgesteiro/pyubx2 | 02fd8fa2863b88ed2d746b5800717a1b6b213181 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
"""
Demo example to test CFG-VALSET ublox message - generation 9
@author: mgesteiro
"""
import sys
import time
from serial import Serial, SerialException, SerialTimeoutException
from pyubx2 import (
UBXMessage,
GET,
SET,
VALSET_RAM,
UBXMessageError,
UBXTypeError,
UBXP... | 28.17 | 88 | 0.606674 | 320 | 2,817 | 5.290625 | 0.484375 | 0.028352 | 0.028352 | 0.046072 | 0.095688 | 0.095688 | 0.095688 | 0.055523 | 0.055523 | 0.055523 | 0 | 0.065796 | 0.266241 | 2,817 | 99 | 89 | 28.454545 | 0.750847 | 0.160454 | 0 | 0.179104 | 0 | 0 | 0.271706 | 0.060043 | 0 | 0 | 0.007775 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.059701 | 0 | 0.119403 | 0.179104 | 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 |
4b57edd76cfedc441b5ed69fe2a9fd78c4dbd2d2 | 3,996 | py | Python | main.py | saswatsamal/Snake-Game | 2c0f427fd6001f09d26a4586ce55453af706c355 | [
"CC0-1.0"
] | 2 | 2021-04-25T07:34:14.000Z | 2021-04-30T15:24:55.000Z | main.py | saswatsamal/Snake-Game | 2c0f427fd6001f09d26a4586ce55453af706c355 | [
"CC0-1.0"
] | null | null | null | main.py | saswatsamal/Snake-Game | 2c0f427fd6001f09d26a4586ce55453af706c355 | [
"CC0-1.0"
] | null | null | null | import pygame
import time
import sys, random
pygame.init()
yellow = (255, 255, 102)
green = (0, 255, 0)
black = (0,0,0)
width = 1280
height = 720
gameDisplay = pygame.display.set_mode((width, height))
pygame.display.set_caption('Snake Game By Saswat Samal')
clock = pygame.time.Clock()
snake_block = 10
snak... | 27.369863 | 104 | 0.56006 | 511 | 3,996 | 4.209393 | 0.221135 | 0.069735 | 0.039052 | 0.041841 | 0.362622 | 0.320316 | 0.295212 | 0.261274 | 0.222222 | 0.222222 | 0 | 0.044461 | 0.335836 | 3,996 | 146 | 105 | 27.369863 | 0.766014 | 0 | 0 | 0.336538 | 0 | 0 | 0.036277 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048077 | false | 0 | 0.028846 | 0 | 0.076923 | 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 |
4b59cb1bcbcd0c6d58e12de2aac812a57e139151 | 918 | py | Python | SoftMax_Regression.py | chunish/tfboy-is-on-the-way | 7cd4c1f7c0c1dd94189377ee0751f2c232a1e98c | [
"Apache-2.0"
] | null | null | null | SoftMax_Regression.py | chunish/tfboy-is-on-the-way | 7cd4c1f7c0c1dd94189377ee0751f2c232a1e98c | [
"Apache-2.0"
] | null | null | null | SoftMax_Regression.py | chunish/tfboy-is-on-the-way | 7cd4c1f7c0c1dd94189377ee0751f2c232a1e98c | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot = True)
sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32, [None, 784])
W = tf.Variable(tf.zeros([784, 10]))
b = tf.Variable(tf.zeros([10]))
y = tf.nn.softmax(tf.matm... | 31.655172 | 87 | 0.734205 | 149 | 918 | 4.33557 | 0.483221 | 0.041796 | 0.04644 | 0.068111 | 0.080495 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037713 | 0.104575 | 918 | 28 | 88 | 32.785714 | 0.748175 | 0.004357 | 0 | 0 | 0 | 0 | 0.012061 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 |
4b5fd841b1005516ab298b5be16fb1dd41b071b3 | 3,190 | py | Python | taehyoungram/images/views.py | TaeHyoungKwon/taehyoungram | 055c9effdaa718d60e7627196754ea6b48dded20 | [
"MIT"
] | null | null | null | taehyoungram/images/views.py | TaeHyoungKwon/taehyoungram | 055c9effdaa718d60e7627196754ea6b48dded20 | [
"MIT"
] | 7 | 2020-02-12T01:23:48.000Z | 2022-03-11T23:26:02.000Z | taehyoungram/images/views.py | TaeHyoungKwon/taehyoungram | 055c9effdaa718d60e7627196754ea6b48dded20 | [
"MIT"
] | null | null | null | from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from .models import Image, Comment, Like
from .serializers import ImageSerializer, CommentSerializer, LikeSerializer
class Feed(APIView):
def get(self, request, format=None):
user ... | 27.73913 | 89 | 0.626646 | 354 | 3,190 | 5.449153 | 0.228814 | 0.087092 | 0.091239 | 0.121306 | 0.519959 | 0.414723 | 0.35718 | 0.35718 | 0.31156 | 0.255054 | 0 | 0.015138 | 0.295925 | 3,190 | 114 | 90 | 27.982456 | 0.843722 | 0 | 0 | 0.426667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.36 | 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 |
4b65eb4040ecf11e53140f9d3ec6fb5084fff907 | 6,298 | py | Python | src/utilities/download_bc.py | geoschem/integrated_methane_inversion | 0615e3b76c111beadaf0d7fb5b9fa99aa782f403 | [
"MIT"
] | null | null | null | src/utilities/download_bc.py | geoschem/integrated_methane_inversion | 0615e3b76c111beadaf0d7fb5b9fa99aa782f403 | [
"MIT"
] | 3 | 2022-02-14T20:42:35.000Z | 2022-03-29T18:11:40.000Z | src/utilities/download_bc.py | geoschem/integrated_methane_inversion | 0615e3b76c111beadaf0d7fb5b9fa99aa782f403 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Description:
------------
This Python script (assumes Python3) downloads boundary conditions
files from AWS S3 to a target directory for the requested date range.
Remarks:
--------
(1) Jiawei Zhuang found that it is much faster to issue aws s3 cp
commands from a bash script than... | 30.872549 | 88 | 0.580343 | 790 | 6,298 | 4.473418 | 0.258228 | 0.043577 | 0.040747 | 0.01811 | 0.233729 | 0.164686 | 0.164686 | 0.131862 | 0.066214 | 0.066214 | 0 | 0.025549 | 0.335027 | 6,298 | 203 | 89 | 31.024631 | 0.81829 | 0.355668 | 0 | 0.043478 | 0 | 0 | 0.109699 | 0.030342 | 0 | 0 | 0 | 0 | 0.01087 | 1 | 0.043478 | false | 0 | 0.032609 | 0 | 0.086957 | 0.065217 | 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 |
4b6add180192d528e3ed133e29c757a81886beb8 | 483 | py | Python | NoteBooks/Curso de Python/Python/Paradigmas/Object Oriented Programming/Modelando Objetos_2.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | 1 | 2021-02-26T13:12:22.000Z | 2021-02-26T13:12:22.000Z | NoteBooks/Curso de Python/Python/Paradigmas/Object Oriented Programming/Modelando Objetos_2.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | null | null | null | NoteBooks/Curso de Python/Python/Paradigmas/Object Oriented Programming/Modelando Objetos_2.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | null | null | null | """
Ejercicio para operación entre currencies
"""
""" Representación del currency"""
class Curency:
def __init__(self, name, symbol, factor):
self.name = name
self.symbol = symbol
self.factor = factor
# No me queda muy claro el uso de esta función, sirve para mostrar puntualmente qué?... | 17.888889 | 84 | 0.621118 | 60 | 483 | 4.866667 | 0.65 | 0.082192 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011299 | 0.267081 | 483 | 26 | 85 | 18.576923 | 0.813559 | 0.459627 | 0 | 0 | 0 | 0 | 0.042453 | 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 |
4b6f1aec2b3a7aa82fa7792516bb55e9223b7c08 | 1,063 | py | Python | bot.py | federicosapienza/InboxNotionTelegramBot | 031d5e78cd352dfb692b93f3e0b421695f1dc18e | [
"MIT"
] | null | null | null | bot.py | federicosapienza/InboxNotionTelegramBot | 031d5e78cd352dfb692b93f3e0b421695f1dc18e | [
"MIT"
] | null | null | null | bot.py | federicosapienza/InboxNotionTelegramBot | 031d5e78cd352dfb692b93f3e0b421695f1dc18e | [
"MIT"
] | null | null | null | from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, ConversationHandler
import logging
from utils import TELEGRAM_TOKEN
from handlers import start, ask_new_url, get_url, get_description, cancel
from handlers import URL_URL, URL_DESCRIPTION
logging.basicConfig(format='%(levelname)s - %(message)s... | 25.926829 | 94 | 0.739417 | 118 | 1,063 | 6.415254 | 0.432203 | 0.110964 | 0.047556 | 0.073976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002257 | 0.16651 | 1,063 | 40 | 95 | 26.575 | 0.852144 | 0 | 0 | 0 | 0 | 0 | 0.032926 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.2 | 0 | 0.24 | 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 |
4b6fc4e98137fcd105847298b470d6ad64f71618 | 841 | py | Python | examples/face.py | birkenfeld/python-gr | 1d6cd36616a73c8e569b8348869e6e30f3830ec4 | [
"RSA-MD"
] | null | null | null | examples/face.py | birkenfeld/python-gr | 1d6cd36616a73c8e569b8348869e6e30f3830ec4 | [
"RSA-MD"
] | null | null | null | examples/face.py | birkenfeld/python-gr | 1d6cd36616a73c8e569b8348869e6e30f3830ec4 | [
"RSA-MD"
] | null | null | null | #!/usr/bin/env python
"""
Simple surface plot example
"""
from gr import *
from math import *
x = [-2 + i * 0.5 for i in range(0, 29)]
y = [-7 + i * 0.5 for i in range(0, 29)]
z = list(range(0, 841))
for i in range(0, 29):
for j in range(0, 29):
r1 = sqrt((x[j] - 5)**2 + y[i]**2)
r2 = sqrt((x[j] + 5)**2 +... | 22.72973 | 64 | 0.567182 | 171 | 841 | 2.766082 | 0.374269 | 0.063425 | 0.067653 | 0.084567 | 0.224101 | 0.224101 | 0.118393 | 0.118393 | 0.071882 | 0 | 0 | 0.156805 | 0.196195 | 841 | 36 | 65 | 23.361111 | 0.542899 | 0.057075 | 0 | 0 | 0 | 0 | 0.061147 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 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 |
4b714a892a0b336d54d129baf723bfd26bcf8c4a | 1,495 | py | Python | app/core.py | antmicro/raw-image-data-previewer | 1fc14848a27ce628047cf3e473a9f30f83c9892d | [
"Apache-2.0"
] | 5 | 2021-06-08T15:37:23.000Z | 2021-06-10T15:41:21.000Z | app/core.py | antmicro/raw-image-data-previewer | 1fc14848a27ce628047cf3e473a9f30f83c9892d | [
"Apache-2.0"
] | 37 | 2021-03-12T12:48:56.000Z | 2021-12-09T11:41:05.000Z | app/core.py | antmicro/raw-image-data-previewer | 1fc14848a27ce628047cf3e473a9f30f83c9892d | [
"Apache-2.0"
] | 9 | 2021-03-22T14:03:37.000Z | 2021-12-31T07:22:04.000Z | """Main functionalities."""
from .image.image import (Image, RawDataContainer)
from .image.color_format import AVAILABLE_FORMATS
from .parser.factory import ParserFactory
import cv2 as cv
import os
def load_image(file_path, color_format, width):
try:
image = Image.from_file(file_path)
parser = Pa... | 26.22807 | 69 | 0.681605 | 182 | 1,495 | 5.368132 | 0.357143 | 0.101331 | 0.04913 | 0.06346 | 0.131013 | 0.067554 | 0.067554 | 0.067554 | 0.067554 | 0 | 0 | 0.002571 | 0.219398 | 1,495 | 56 | 70 | 26.696429 | 0.834619 | 0.014047 | 0 | 0.210526 | 0 | 0 | 0.058583 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.131579 | 0 | 0.315789 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b7544498643883f50311519a373ed59f4faa469 | 3,478 | py | Python | app/urls.py | etihadprime/etihadwebclass | 3b46d9068afeb0806198ef08fe26849ab9a09bb9 | [
"Apache-2.0"
] | null | null | null | app/urls.py | etihadprime/etihadwebclass | 3b46d9068afeb0806198ef08fe26849ab9a09bb9 | [
"Apache-2.0"
] | 6 | 2021-03-19T03:55:20.000Z | 2021-09-22T19:06:06.000Z | app/urls.py | etihadprime/etihadwebclass | 3b46d9068afeb0806198ef08fe26849ab9a09bb9 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from .views import teacherregister,studentregister,login_view,logout
from . import views
from .views import (
ClassroomCreateView,ClassroomListView,ClassroomDetailView,ClassroomUpdateView,ClassroomDeleteView,
SubjectCreateView,SubjectListView,SubjectDetailView,SubjectUpdateView,SubjectDelet... | 70.979592 | 115 | 0.648074 | 322 | 3,478 | 6.909938 | 0.208075 | 0.082697 | 0.098876 | 0.051236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006494 | 0.20299 | 3,478 | 49 | 116 | 70.979592 | 0.796176 | 0.039103 | 0 | 0 | 0 | 0 | 0.25412 | 0.066227 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.097561 | 0 | 0.097561 | 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 |
4b76dabace6084b6df07b8d27c9db12c437ca835 | 44,634 | py | Python | qaboard/qa.py | Samsung/qaboard | a2290f33da2bbd87cacf95822e1c85376083dfa1 | [
"Apache-2.0"
] | 51 | 2019-12-02T07:25:58.000Z | 2022-03-23T13:27:11.000Z | qaboard/qa.py | Samsung/qaboard | a2290f33da2bbd87cacf95822e1c85376083dfa1 | [
"Apache-2.0"
] | 25 | 2020-01-20T16:13:49.000Z | 2022-02-19T17:07:38.000Z | qaboard/qa.py | Samsung/qaboard | a2290f33da2bbd87cacf95822e1c85376083dfa1 | [
"Apache-2.0"
] | 15 | 2020-01-17T21:21:17.000Z | 2022-02-23T10:13:48.000Z | #!/usr/bin/env python
"""
CLI tool to runs various tasks related to QA.
"""
import os
import time
from pathlib import Path
import sys
import traceback
import json
import yaml
import uuid
import datetime
import click
from .run import RunContext
from .runners import runners, Job, JobGroup
from .runners.lsf import LsfPr... | 50.720455 | 318 | 0.703992 | 6,337 | 44,634 | 4.772921 | 0.117721 | 0.019639 | 0.012167 | 0.014448 | 0.32077 | 0.260762 | 0.2277 | 0.184818 | 0.165113 | 0.136646 | 0 | 0.001866 | 0.171663 | 44,634 | 879 | 319 | 50.778157 | 0.816212 | 0.139759 | 0 | 0.251852 | 0 | 0.035556 | 0.252898 | 0.026664 | 0 | 0 | 0 | 0.002275 | 0.001481 | 1 | 0.019259 | false | 0.020741 | 0.078519 | 0 | 0.102222 | 0.022222 | 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 |
4b77f58f441974f14bdaad4bde4687feee866e3a | 5,838 | py | Python | 20210220_simulation_sample/data_handler.py | 3x3x3/Presentations | 3c31b136ed4d9214bb3730fa41a4a575da38edc9 | [
"MIT"
] | null | null | null | 20210220_simulation_sample/data_handler.py | 3x3x3/Presentations | 3c31b136ed4d9214bb3730fa41a4a575da38edc9 | [
"MIT"
] | null | null | null | 20210220_simulation_sample/data_handler.py | 3x3x3/Presentations | 3c31b136ed4d9214bb3730fa41a4a575da38edc9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import threading
import time
import global_def as gd
from db_reader import DbReaderDef, DbReaer
from queue import Queue, Empty
class DataHandlerThd(threading.Thread):
def __init__(self, req_queue: Queue, rcv_queue: Queue, db_host: str, db_port: int, db_user: str, db_pw: str, db_name: str, ... | 32.797753 | 162 | 0.52381 | 725 | 5,838 | 3.838621 | 0.194483 | 0.043119 | 0.027668 | 0.017966 | 0.348904 | 0.252964 | 0.185411 | 0.148042 | 0.099892 | 0.071146 | 0 | 0.013576 | 0.406989 | 5,838 | 177 | 163 | 32.983051 | 0.790295 | 0.017814 | 0 | 0.255639 | 0 | 0 | 0.026192 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030075 | false | 0.007519 | 0.037594 | 0 | 0.112782 | 0.015038 | 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 |
4b7a04ca06d8701872be7f11c6588abbce31dce4 | 16,294 | py | Python | hypothesis/_settings.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | hypothesis/_settings.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | hypothesis/_settings.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # coding=utf-8
#
# This file is part of Hypothesis (https://github.com/DRMacIver/hypothesis)
#
# Most of this work is copyright (C) 2013-2015 David R. MacIver
# (david@drmaciver.com), but it contains contributions by others. See
# https://github.com/DRMacIver/hypothesis/blob/master/CONTRIBUTING.rst for a
# full list of... | 31.334615 | 79 | 0.650669 | 1,949 | 16,294 | 5.283222 | 0.238584 | 0.013985 | 0.022434 | 0.009226 | 0.098378 | 0.07643 | 0.063417 | 0.050403 | 0.033019 | 0.033019 | 0 | 0.002965 | 0.275562 | 16,294 | 519 | 80 | 31.39499 | 0.869366 | 0.167178 | 0 | 0.228883 | 0 | 0 | 0.228496 | 0.013117 | 0 | 0 | 0 | 0 | 0.008174 | 1 | 0.092643 | false | 0.00545 | 0.038147 | 0.027248 | 0.220708 | 0.00545 | 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 |
4b7c945d6b1d560f6d85d5ab876aed99787d4072 | 1,989 | py | Python | code/MergeTrack/print_max_reid_distance.py | MTonyM/PReMVOS | 3d01f0c6156628083a4c8441b4b57622c500e04e | [
"MIT"
] | 140 | 2018-10-25T11:58:34.000Z | 2022-01-18T15:29:38.000Z | code/MergeTrack/print_max_reid_distance.py | MTonyM/PReMVOS | 3d01f0c6156628083a4c8441b4b57622c500e04e | [
"MIT"
] | 18 | 2018-11-21T04:48:03.000Z | 2020-09-14T09:30:56.000Z | code/MergeTrack/print_max_reid_distance.py | MTonyM/PReMVOS | 3d01f0c6156628083a4c8441b4b57622c500e04e | [
"MIT"
] | 32 | 2018-10-25T11:58:57.000Z | 2021-12-27T06:13:45.000Z | import glob
from numpy.linalg import norm
import numpy as np
from copy import deepcopy as copy
from MergeTrack.merge_functions import read_ann,read_props
from MergeTrack.ReID_net_functions import ReID_net_init, add_ReID
input_images = "DAVIS/val17/"
input_proposals = "DAVIS/ReID_props/"
first_frame_anns = "DAVIS/val1... | 38.25 | 142 | 0.723479 | 307 | 1,989 | 4.407166 | 0.250814 | 0.053215 | 0.059128 | 0.035477 | 0.144863 | 0.102735 | 0.042868 | 0.042868 | 0 | 0 | 0 | 0.005914 | 0.149824 | 1,989 | 52 | 143 | 38.25 | 0.794205 | 0.128708 | 0 | 0 | 0 | 0 | 0.063731 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.171429 | 0 | 0.171429 | 0.057143 | 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 |
4b7e597bab0f3442569b2c0f944ee9a51ebdc5c8 | 5,004 | py | Python | tests/unit/html/test_search_page.py | tttgm/basketball_reference_web_scraper | 2dbd9d7bacbcfee17f08bcf8629bd7d50893761d | [
"MIT"
] | 325 | 2015-10-27T03:15:49.000Z | 2022-03-16T06:49:12.000Z | tests/unit/html/test_search_page.py | tttgm/basketball_reference_web_scraper | 2dbd9d7bacbcfee17f08bcf8629bd7d50893761d | [
"MIT"
] | 173 | 2018-10-16T04:11:05.000Z | 2022-03-29T17:52:08.000Z | tests/unit/html/test_search_page.py | tttgm/basketball_reference_web_scraper | 2dbd9d7bacbcfee17f08bcf8629bd7d50893761d | [
"MIT"
] | 97 | 2016-04-09T19:11:28.000Z | 2022-03-21T09:57:50.000Z | from unittest import TestCase
from unittest.mock import patch, MagicMock, PropertyMock
from basketball_reference_web_scraper.html import SearchPage, PlayerSearchResult
class TestSearchPage(TestCase):
def test_nba_aba_baa_players_content_query(self):
self.assertEqual(
SearchPage(html=MagicMock... | 42.40678 | 116 | 0.711631 | 590 | 5,004 | 5.567797 | 0.130508 | 0.047489 | 0.071233 | 0.112024 | 0.700761 | 0.683105 | 0.625571 | 0.592998 | 0.592998 | 0.471233 | 0 | 0.000751 | 0.202038 | 5,004 | 117 | 117 | 42.769231 | 0.821938 | 0 | 0 | 0.375 | 0 | 0 | 0.130695 | 0.079736 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.09375 | false | 0 | 0.03125 | 0 | 0.135417 | 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 |
4b7fad07fb9954bb150ff9b9a3fc6a0e8f2cf560 | 19,891 | py | Python | cave/com.raytheon.viz.gfe/localization/gfe/userPython/smartTools/WindGustFromAlgorithm.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | cave/com.raytheon.viz.gfe/localization/gfe/userPython/smartTools/WindGustFromAlgorithm.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | cave/com.raytheon.viz.gfe/localization/gfe/userPython/smartTools/WindGustFromAlgorithm.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | 1 | 2021-10-30T00:03:05.000Z | 2021-10-30T00:03:05.000Z | ##
# This software was developed and / or modified by Raytheon Company,
# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
#
# U.S. EXPORT CONTROLLED TECHNICAL DATA
# This software product contains export-restricted data whose
# export/transfer/disclosure is restricted by U.S. law. Dissemination
# to ... | 48.045894 | 195 | 0.42934 | 1,904 | 19,891 | 4.448004 | 0.26208 | 0.003306 | 0.01228 | 0.005668 | 0.459558 | 0.414571 | 0.388003 | 0.380446 | 0.380446 | 0.380446 | 0 | 0.045883 | 0.32286 | 19,891 | 413 | 196 | 48.162228 | 0.582894 | 0.394902 | 0 | 0.259843 | 0 | 0.007874 | 0.114477 | 0.002428 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023622 | false | 0 | 0.031496 | 0 | 0.094488 | 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 |
4b7fd5f816b4e255d1e40adf591dc8b3e21efaa2 | 2,291 | py | Python | CH04_Iterators_and_Generators/4.4.Implementing_the_iterator_protocol.py | Chang-Liu-TAMU/Python-Cookbook-reading | 7b974c32f77b4b3d7cfeed30d1671081057c566f | [
"MIT"
] | null | null | null | CH04_Iterators_and_Generators/4.4.Implementing_the_iterator_protocol.py | Chang-Liu-TAMU/Python-Cookbook-reading | 7b974c32f77b4b3d7cfeed30d1671081057c566f | [
"MIT"
] | null | null | null | CH04_Iterators_and_Generators/4.4.Implementing_the_iterator_protocol.py | Chang-Liu-TAMU/Python-Cookbook-reading | 7b974c32f77b4b3d7cfeed30d1671081057c566f | [
"MIT"
] | null | null | null | # @Time: 2022/4/12 20:50
# @Author: chang liu
# @Email: chang_liu_tamu@gmail.com
# @File:4.4.Implementing_the_iterator_protocol.py
################ clean version #########################
# class Node:
# def __init__(self, val):
# self._value = val
# self._children = []
#
# def __repr__(self):
... | 22.91 | 70 | 0.572676 | 274 | 2,291 | 4.434307 | 0.255474 | 0.118519 | 0.064198 | 0.069959 | 0.341564 | 0.302058 | 0.257613 | 0.257613 | 0.257613 | 0.257613 | 0 | 0.01218 | 0.283282 | 2,291 | 100 | 71 | 22.91 | 0.727771 | 0.338717 | 0 | 0.136364 | 0 | 0 | 0.007158 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0 | 0.090909 | 0.409091 | 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 |
4b800dc76b871db39c746e292171f32b25ee44ff | 29,762 | py | Python | FGPVAE_model.py | metodj/FGP-VAE | 607559ab465b29878f10a5d95b8e3c6ec8d94e0c | [
"MIT"
] | 3 | 2021-01-27T14:06:01.000Z | 2021-09-09T12:10:34.000Z | FGPVAE_model.py | metodj/FGP-VAE | 607559ab465b29878f10a5d95b8e3c6ec8d94e0c | [
"MIT"
] | null | null | null | FGPVAE_model.py | metodj/FGP-VAE | 607559ab465b29878f10a5d95b8e3c6ec8d94e0c | [
"MIT"
] | null | null | null | import tensorflow as tf
import tensorflow_probability as tfp
import numpy as np
import pickle
import random
from utils import gauss_cross_entropy
tfk = tfp.math.psd_kernels
def _add_diagonal_jitter(matrix, jitter=1e-6):
return tf.linalg.set_diag(matrix, tf.linalg.diag_part(matrix) + jitter)
cla... | 42.456491 | 123 | 0.556145 | 4,318 | 29,762 | 3.562297 | 0.091014 | 0.007801 | 0.022884 | 0.003641 | 0.584319 | 0.520869 | 0.475166 | 0.436354 | 0.390131 | 0.38012 | 0 | 0.019712 | 0.335226 | 29,762 | 700 | 124 | 42.517143 | 0.757746 | 0.247799 | 0 | 0.47076 | 0 | 0 | 0.004329 | 0.00226 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035088 | false | 0.002924 | 0.017544 | 0.002924 | 0.090643 | 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 |
4b849b209996da99ee667a5b45419939d4653d3a | 9,495 | py | Python | tests/test_protocols/test_generator.py | cyenyxe/agents-aea | c2aec9127028ae13def3f69fbc80d35400de1565 | [
"Apache-2.0"
] | null | null | null | tests/test_protocols/test_generator.py | cyenyxe/agents-aea | c2aec9127028ae13def3f69fbc80d35400de1565 | [
"Apache-2.0"
] | 1 | 2020-02-21T14:28:13.000Z | 2020-03-05T14:53:53.000Z | tests/test_protocols/test_generator.py | cyenyxe/agents-aea | c2aec9127028ae13def3f69fbc80d35400de1565 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the ... | 45.214286 | 128 | 0.685519 | 1,011 | 9,495 | 6.18002 | 0.22453 | 0.080666 | 0.06402 | 0.083547 | 0.601312 | 0.571063 | 0.557939 | 0.529609 | 0.509123 | 0.509123 | 0 | 0.003816 | 0.199579 | 9,495 | 209 | 129 | 45.430622 | 0.818289 | 0.758189 | 0 | 0.041667 | 0 | 0 | 0.133615 | 0.025785 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0.020833 | 0.166667 | 0 | 0.229167 | 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 |
4b86ef7acd08f81f39f9fde4c5d2779a3995da3e | 6,981 | py | Python | tabfkioskgoogledrive/MyGDTest3.py | isalan06/myflaskapiserver | 2922f62c9b9ede2b6cba2db774e924b226a120f7 | [
"MIT"
] | null | null | null | tabfkioskgoogledrive/MyGDTest3.py | isalan06/myflaskapiserver | 2922f62c9b9ede2b6cba2db774e924b226a120f7 | [
"MIT"
] | null | null | null | tabfkioskgoogledrive/MyGDTest3.py | isalan06/myflaskapiserver | 2922f62c9b9ede2b6cba2db774e924b226a120f7 | [
"MIT"
] | null | null | null | import os.path
import os
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from datetime import datetime
# If modifying these scopes, delete the file token.json.
SCOPES ... | 37.331551 | 104 | 0.578284 | 792 | 6,981 | 5.018939 | 0.207071 | 0.019371 | 0.055346 | 0.07044 | 0.52956 | 0.523522 | 0.523522 | 0.501132 | 0.423648 | 0.423648 | 0 | 0.007974 | 0.281478 | 6,981 | 187 | 105 | 37.331551 | 0.78449 | 0.091391 | 0 | 0.480263 | 0 | 0.006579 | 0.207885 | 0.053357 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013158 | false | 0 | 0.046053 | 0 | 0.065789 | 0.144737 | 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 |
4b88bb3938cbed6bd9ddf6e52090c0d588399179 | 2,631 | py | Python | clustering/conditional_probs.py | griffij/QuakeRates | 70069bb271a1987e72fcbdf3aa0c0a8a79591580 | [
"Apache-2.0"
] | null | null | null | clustering/conditional_probs.py | griffij/QuakeRates | 70069bb271a1987e72fcbdf3aa0c0a8a79591580 | [
"Apache-2.0"
] | null | null | null | clustering/conditional_probs.py | griffij/QuakeRates | 70069bb271a1987e72fcbdf3aa0c0a8a79591580 | [
"Apache-2.0"
] | null | null | null | """Calculate conditional probability of a short interevent
time being followed by another short interevent time, compared
with the unconditional probability.
This is used to test whether fault records have memory
"""
import os, sys
from glob import glob
import numpy as np
import matplotlib.pyplot as plt
from QuakeRat... | 36.541667 | 84 | 0.707336 | 373 | 2,631 | 4.697051 | 0.412869 | 0.03653 | 0.027397 | 0.022831 | 0.01484 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010984 | 0.204105 | 2,631 | 71 | 85 | 37.056338 | 0.825692 | 0.232231 | 0 | 0.038462 | 0 | 0 | 0.044933 | 0.031952 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.096154 | 0 | 0.096154 | 0.076923 | 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 |
4b8e4f10e68bbf6b6e9801bf943ec3cb8b4d1bf7 | 3,120 | py | Python | src/dynamic_programming/basic_scripts/value_iteration.py | johannesharmse/move_37_course | a2060129cbc6fb651113aa18f1a6ea2673845182 | [
"MIT"
] | 1 | 2019-03-13T06:29:54.000Z | 2019-03-13T06:29:54.000Z | src/dynamic_programming/basic_scripts/value_iteration.py | johannesharmse/move_37_course | a2060129cbc6fb651113aa18f1a6ea2673845182 | [
"MIT"
] | null | null | null | src/dynamic_programming/basic_scripts/value_iteration.py | johannesharmse/move_37_course | a2060129cbc6fb651113aa18f1a6ea2673845182 | [
"MIT"
] | null | null | null | # From The School of AI's Move 37 Course https://www.theschool.ai/courses/move-37-course/
# Coding demo by Colin Skow
# Forked from https://github.com/lazyprogrammer/machine_learning_examples/tree/master/rl
# Credit goes to LazyProgrammer
from __future__ import print_function, division
from builtins import range
# Note... | 31.515152 | 89 | 0.709936 | 501 | 3,120 | 4.243513 | 0.351297 | 0.008467 | 0.042333 | 0.026811 | 0.176388 | 0.151929 | 0.122295 | 0.06397 | 0.06397 | 0.06397 | 0 | 0.007235 | 0.202564 | 3,120 | 98 | 90 | 31.836735 | 0.847267 | 0.400321 | 0 | 0.098361 | 0 | 0 | 0.020574 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.081967 | 0 | 0.213115 | 0.131148 | 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 |
4b8f66af4fc844e8c289287b2a2bc4ba119f529e | 19,238 | py | Python | photoplace/addons/CSVImport/GTKcsvimport.py | jriguera/photoplace | 93674ef8531d0e5b8f26de9ba568ed8e115b27e1 | [
"Apache-2.0"
] | 10 | 2015-02-20T19:01:19.000Z | 2021-12-13T23:07:19.000Z | photoplace/addons/CSVImport/GTKcsvimport.py | jriguera/photoplace | 93674ef8531d0e5b8f26de9ba568ed8e115b27e1 | [
"Apache-2.0"
] | 1 | 2020-06-16T13:23:05.000Z | 2021-02-13T14:14:57.000Z | photoplace/addons/CSVImport/GTKcsvimport.py | jriguera/photoplace | 93674ef8531d0e5b8f26de9ba568ed8e115b27e1 | [
"Apache-2.0"
] | 4 | 2017-03-28T23:06:14.000Z | 2019-09-25T07:59:36.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# GTKcsvimport.py
#
# Copyright 2010-2015 Jose Riguera Lopez <jriguera@gmail.com>
#
# 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... | 39.995842 | 218 | 0.615501 | 2,342 | 19,238 | 4.790777 | 0.153715 | 0.031551 | 0.061497 | 0.064973 | 0.379144 | 0.292068 | 0.183244 | 0.145989 | 0.077718 | 0.059358 | 0 | 0.011798 | 0.281838 | 19,238 | 480 | 219 | 40.079167 | 0.800304 | 0.049641 | 0 | 0.26799 | 0 | 0.002481 | 0.074862 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042184 | false | 0.004963 | 0.129032 | 0 | 0.176179 | 0.009926 | 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 |
4b8fcf8f0fe4212ea52ae11e77f6cd66ebb3437f | 9,024 | py | Python | src/opt_utils.py | mateuszz0000/POSA | 1295065251dd22c89d923fbff7d8bf4c53339d95 | [
"CNRI-Python",
"Xnet",
"Info-ZIP",
"X11"
] | 71 | 2021-05-02T21:40:29.000Z | 2022-03-30T03:52:01.000Z | src/opt_utils.py | mateuszz0000/POSA | 1295065251dd22c89d923fbff7d8bf4c53339d95 | [
"CNRI-Python",
"Xnet",
"Info-ZIP",
"X11"
] | 4 | 2021-06-18T06:31:29.000Z | 2021-12-07T07:29:21.000Z | src/opt_utils.py | mateuszz0000/POSA | 1295065251dd22c89d923fbff7d8bf4c53339d95 | [
"CNRI-Python",
"Xnet",
"Info-ZIP",
"X11"
] | 10 | 2021-05-08T08:16:31.000Z | 2022-02-17T04:40:30.000Z | # -*- coding: utf-8 -*-
# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is
# holder of all proprietary rights on this computer program.
# You can only use this computer program if you have closed
# a license agreement with MPG or you get the right to use the computer
# program from someone who is... | 47 | 120 | 0.625332 | 1,240 | 9,024 | 4.281452 | 0.195161 | 0.034281 | 0.018648 | 0.02072 | 0.304012 | 0.246374 | 0.190055 | 0.165191 | 0.14466 | 0.092673 | 0 | 0.017694 | 0.273493 | 9,024 | 191 | 121 | 47.246073 | 0.791946 | 0.098515 | 0 | 0.078014 | 0 | 0 | 0.010229 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056738 | false | 0 | 0.042553 | 0 | 0.156028 | 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 |
4b95d82a263834a4e169c435b74dfded71be2e85 | 5,538 | py | Python | siemstress/trigger.py | dogoncouch/siemstress | be7f60bb0228a886d48deb4f46309be7fb8aa0af | [
"MIT"
] | 28 | 2017-08-14T12:41:56.000Z | 2022-02-18T01:18:11.000Z | siemstress/trigger.py | dogoncouch/siemstress | be7f60bb0228a886d48deb4f46309be7fb8aa0af | [
"MIT"
] | 1 | 2017-08-23T10:47:16.000Z | 2017-08-24T18:52:48.000Z | siemstress/trigger.py | dogoncouch/siemstress | be7f60bb0228a886d48deb4f46309be7fb8aa0af | [
"MIT"
] | 6 | 2018-01-07T11:42:18.000Z | 2020-06-08T00:04:57.000Z | #!/usr/bin/env python
#_MIT License
#_
#_Copyright (c) 2017 Dan Persons (dpersonsdev@gmail.com)
#_
#_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 limi... | 34.397516 | 81 | 0.548754 | 668 | 5,538 | 4.462575 | 0.338323 | 0.034888 | 0.010064 | 0.012076 | 0.19792 | 0.19792 | 0.19792 | 0.188527 | 0.188527 | 0.188527 | 0 | 0.017354 | 0.334056 | 5,538 | 160 | 82 | 34.6125 | 0.790944 | 0.275731 | 0 | 0.376344 | 0 | 0.010753 | 0.108415 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043011 | false | 0.032258 | 0.150538 | 0 | 0.204301 | 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 |
4b9aca9719a2480581a602385b8fda1e00bcfadc | 3,040 | py | Python | ooobuild/lo/util/time_with_timezone.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/util/time_with_timezone.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/util/time_with_timezone.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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 applicab... | 30.4 | 190 | 0.650329 | 382 | 3,040 | 5.018325 | 0.408377 | 0.031299 | 0.026082 | 0.036515 | 0.077726 | 0.045383 | 0 | 0 | 0 | 0 | 0 | 0.022085 | 0.255263 | 3,040 | 99 | 191 | 30.707071 | 0.824647 | 0.436842 | 0 | 0.052632 | 0 | 0 | 0.104801 | 0.045977 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.078947 | 0 | 0.447368 | 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 |
4b9cdb57c833e7e628efc0c75d61d7090e29a276 | 393 | py | Python | exercicios/Lista6/Q5.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista6/Q5.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista6/Q5.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | """ 5. Faça um programa que receba do usuário um arquivo texto e um caracter. Mostre na tela
quantas vezes aquele caractere ocorre dentro do arquivo.
"""
arquivo=open('CursoUdemyPython/exercicios/Lista6/arq.txt')
texto=arquivo.read()
carac=input('Informe um caractere: ')
ca=0
for c in texto:
if(c == carac):
... | 28.071429 | 92 | 0.725191 | 60 | 393 | 4.75 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012085 | 0.157761 | 393 | 13 | 93 | 30.230769 | 0.848943 | 0.368957 | 0 | 0 | 0 | 0 | 0.422594 | 0.175732 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.111111 | 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 |