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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
518e296fcd47480555619d28da9b1f803d91b6a5 | 543 | py | Python | test/ep/file_test.py | alanjimenez1/qualibrate-api | d005e35029303ac9dfd8e66cb09c79393a472cad | [
"MIT"
] | null | null | null | test/ep/file_test.py | alanjimenez1/qualibrate-api | d005e35029303ac9dfd8e66cb09c79393a472cad | [
"MIT"
] | null | null | null | test/ep/file_test.py | alanjimenez1/qualibrate-api | d005e35029303ac9dfd8e66cb09c79393a472cad | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Test module for User endpoint responses
"""
__author__ = "@canimus"
__license__ = "MIT"
__revision__ = "1.0"
import unittest
from test.ep.utils import ApiRequest as http_client
class FileEndPointTest(unittest.TestCase):
'''Files endpoint tests'''
def test_file_upload(self):
... | 25.857143 | 108 | 0.664825 | 67 | 543 | 5.104478 | 0.716418 | 0.05848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020455 | 0.189687 | 543 | 20 | 109 | 27.15 | 0.756818 | 0.198895 | 0 | 0 | 0 | 0 | 0.215539 | 0.092732 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 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 |
518f9bd6632a478fd29c87c47bda80684e792457 | 1,286 | py | Python | ZDF/CSCI 6212/QuickSelect.py | zdf0221/leetcode | 66e92e29e6619d138401658fa656f41404ccabe3 | [
"MIT"
] | null | null | null | ZDF/CSCI 6212/QuickSelect.py | zdf0221/leetcode | 66e92e29e6619d138401658fa656f41404ccabe3 | [
"MIT"
] | null | null | null | ZDF/CSCI 6212/QuickSelect.py | zdf0221/leetcode | 66e92e29e6619d138401658fa656f41404ccabe3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name: QuickSelect
Description :
Author : zdf
date: 2018/9/26
-------------------------------------------------
Change Activity:
2018/9/26:13:11
----------------------------------------... | 27.361702 | 88 | 0.452566 | 157 | 1,286 | 3.656051 | 0.324841 | 0.156794 | 0.090592 | 0.062718 | 0.184669 | 0.097561 | 0.097561 | 0 | 0 | 0 | 0 | 0.05157 | 0.306376 | 1,286 | 46 | 89 | 27.956522 | 0.591928 | 0.251944 | 0 | 0.142857 | 0 | 0 | 0.046122 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.25 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5194f2f707886fc733209274dbe61c98c74c61c8 | 3,009 | py | Python | main.py | ResByte/torch-gcp-fn | eb343dd144c6a5d828e666db084cb39b70896ff8 | [
"Apache-2.0"
] | 1 | 2020-03-31T21:49:37.000Z | 2020-03-31T21:49:37.000Z | main.py | ResByte/torch-gcp-fn | eb343dd144c6a5d828e666db084cb39b70896ff8 | [
"Apache-2.0"
] | null | null | null | main.py | ResByte/torch-gcp-fn | eb343dd144c6a5d828e666db084cb39b70896ff8 | [
"Apache-2.0"
] | null | null | null | import os
import io
import json
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models,transforms
from PIL import Image
import time
from flask import jsonify
import logging
logging.basicConfig(level=logging.INFO)
# lazy global
device = None
model = None
imagenet_clas... | 27.605505 | 78 | 0.627119 | 365 | 3,009 | 5.030137 | 0.369863 | 0.056645 | 0.068627 | 0.034858 | 0.044662 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017066 | 0.279495 | 3,009 | 109 | 79 | 27.605505 | 0.829797 | 0.25457 | 0 | 0 | 0 | 0 | 0.078695 | 0.011996 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.192982 | 0 | 0.315789 | 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 |
519570b06f319b34b830bc38363fe48ded0d8966 | 3,686 | py | Python | ressonantes/core/models/organization/organization.py | ag-castro/brazil-ongs-mapping | 80f7542d437913ad92cd74b6e456760f61be32ad | [
"Unlicense"
] | 1 | 2020-09-07T17:33:42.000Z | 2020-09-07T17:33:42.000Z | ressonantes/core/models/organization/organization.py | ag-castro/brazil-ongs-mapping | 80f7542d437913ad92cd74b6e456760f61be32ad | [
"Unlicense"
] | null | null | null | ressonantes/core/models/organization/organization.py | ag-castro/brazil-ongs-mapping | 80f7542d437913ad92cd74b6e456760f61be32ad | [
"Unlicense"
] | null | null | null | import random
import string
from datetime import date
from django.db import models
from django.core.validators import validate_email
from django.core.validators import validate_slug
from django.core.validators import validate_unicode_slug
from django.contrib.auth import get_user_model
from django.utils.translation impo... | 30.213115 | 69 | 0.645958 | 420 | 3,686 | 5.488095 | 0.330952 | 0.095445 | 0.039046 | 0.027766 | 0.313232 | 0.269848 | 0.196095 | 0.169197 | 0.169197 | 0.169197 | 0 | 0.00726 | 0.252577 | 3,686 | 121 | 70 | 30.46281 | 0.829401 | 0.009767 | 0 | 0.168142 | 0 | 0 | 0.127333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.088496 | 0 | 0.274336 | 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 |
5196b7f30facdbb359a3288ac6d9df2fd67191b7 | 988 | py | Python | source/svlib/tests/conftest.py | DomBalint/SecureVision | 311e4744fdc8513079c2e7dcfbc2316035f92793 | [
"MIT"
] | null | null | null | source/svlib/tests/conftest.py | DomBalint/SecureVision | 311e4744fdc8513079c2e7dcfbc2316035f92793 | [
"MIT"
] | null | null | null | source/svlib/tests/conftest.py | DomBalint/SecureVision | 311e4744fdc8513079c2e7dcfbc2316035f92793 | [
"MIT"
] | null | null | null | import os
import pytest
files = ['test1.yaml', 'test2.yaml', 'test3.yaml']
@pytest.fixture(scope='module')
def desired_config_files():
return [os.path.join(os.getcwd(), 'data_test', file) for file in files]
params_configs = [
{
'mail_server': {
'host': 'example11.securevison.intra.net... | 20.163265 | 75 | 0.574899 | 105 | 988 | 5.266667 | 0.514286 | 0.070524 | 0.097649 | 0.130199 | 0.097649 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026499 | 0.274292 | 988 | 48 | 76 | 20.583333 | 0.74477 | 0 | 0 | 0.054054 | 0 | 0 | 0.244939 | 0.096154 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0.027027 | 0.054054 | 0.054054 | 0.216216 | 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 |
5196f9c7d01c0adec8869c697882fc216857847d | 643 | py | Python | app.py | miccarrer/copbot | 44c549afd6d80ae516c8615d6b18518b745f9020 | [
"MIT"
] | null | null | null | app.py | miccarrer/copbot | 44c549afd6d80ae516c8615d6b18518b745f9020 | [
"MIT"
] | null | null | null | app.py | miccarrer/copbot | 44c549afd6d80ae516c8615d6b18518b745f9020 | [
"MIT"
] | null | null | null | import logging
from src.config import get_env_var, get_yaml_file
from src.discord.bot import DiscordBot
from src.service import AppService
if __name__ == '__main__':
base_config = get_yaml_file('base')
logging.basicConfig(**base_config['logging'])
try:
logging.info('Starting Bot')
discord... | 29.227273 | 59 | 0.698289 | 79 | 643 | 5.392405 | 0.443038 | 0.049296 | 0.077465 | 0.079812 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.202177 | 643 | 21 | 60 | 30.619048 | 0.830409 | 0 | 0 | 0 | 0 | 0 | 0.125972 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51992a037bb72c62719a2b885a904c938dc3ece2 | 9,821 | py | Python | main.py | zypangpang/example_of_lightgbm | c4862253cbb4233f1143c21608f3dd6ff9f59d78 | [
"MIT"
] | null | null | null | main.py | zypangpang/example_of_lightgbm | c4862253cbb4233f1143c21608f3dd6ff9f59d78 | [
"MIT"
] | null | null | null | main.py | zypangpang/example_of_lightgbm | c4862253cbb4233f1143c21608f3dd6ff9f59d78 | [
"MIT"
] | 1 | 2021-10-22T02:36:10.000Z | 2021-10-22T02:36:10.000Z | import numpy as np
import pandas as pd
import lightgbm as lgb
from pathlib import Path
from functools import reduce
from sklearn.metrics import roc_auc_score
import hyperopt
from hyperopt import STATUS_OK, Trials, hp, space_eval, tpe
import utils, feature_selector, preprocess
global_params = {
'CK_var_threshold': ... | 38.363281 | 112 | 0.68099 | 1,496 | 9,821 | 4.131684 | 0.149733 | 0.027827 | 0.01537 | 0.023297 | 0.327132 | 0.260961 | 0.21194 | 0.2011 | 0.191717 | 0.176185 | 0 | 0.016555 | 0.181957 | 9,821 | 255 | 113 | 38.513725 | 0.752801 | 0.103248 | 0 | 0.049451 | 0 | 0 | 0.188404 | 0.063447 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06044 | false | 0 | 0.093407 | 0 | 0.203297 | 0.10989 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
519bee9e5276c118445215e895dd293662cda568 | 2,693 | py | Python | heic-conv.py | shihaocao/heic-converter | 5a6b068dfbf69c982397d20b69d9c67e260eee82 | [
"MIT"
] | null | null | null | heic-conv.py | shihaocao/heic-converter | 5a6b068dfbf69c982397d20b69d9c67e260eee82 | [
"MIT"
] | 1 | 2021-12-24T07:36:25.000Z | 2021-12-25T23:17:20.000Z | heic-conv.py | shihaocao/heic-converter | 5a6b068dfbf69c982397d20b69d9c67e260eee82 | [
"MIT"
] | 1 | 2021-12-24T01:06:11.000Z | 2021-12-24T01:06:11.000Z | '''A python script for batch converting heic files.'''
import argparse
import os
import subprocess
import time
CMD = "heif-convert"
QUALITY = "-q"
QUALITY_ARG = "99"
AUX_FILE_SUFFIX = "-urn:com:apple:photo:2020:aux:hdrgainmap"
def parse_args() -> argparse.Namespace:
'''Get the args from the command line'''
... | 34.525641 | 112 | 0.678054 | 375 | 2,693 | 4.674667 | 0.338667 | 0.0502 | 0.038791 | 0.032516 | 0.10154 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004671 | 0.204976 | 2,693 | 78 | 113 | 34.525641 | 0.814106 | 0.116227 | 0 | 0 | 0 | 0 | 0.201442 | 0.016964 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.092593 | 0 | 0.185185 | 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 |
519d2e3dfdf9c558c8b3e16c368955fda216a00c | 1,251 | py | Python | generate_images.py | rwg1234/sticks | 4d1398c0a659bbc1b4c9e44ae8ea5a5429a96c0f | [
"MIT"
] | null | null | null | generate_images.py | rwg1234/sticks | 4d1398c0a659bbc1b4c9e44ae8ea5a5429a96c0f | [
"MIT"
] | null | null | null | generate_images.py | rwg1234/sticks | 4d1398c0a659bbc1b4c9e44ae8ea5a5429a96c0f | [
"MIT"
] | null | null | null | # Script to create www/assets/sprites/{box,stack}_*.png
# This file is NOT a part of the www/ folder and DOES NOT need to be deployed. It is used for development only.
from PIL import Image
SOURCE_DIRECTORY = "www/assets/matches gens_1-12"
DEST_DIRECTORY = "www/assets/sprites"
for i in range(1, 13):
original_fil... | 43.137931 | 135 | 0.692246 | 206 | 1,251 | 4.07767 | 0.456311 | 0.053571 | 0.071429 | 0.033333 | 0.069048 | 0.069048 | 0 | 0 | 0 | 0 | 0 | 0.028971 | 0.19984 | 1,251 | 29 | 136 | 43.137931 | 0.81019 | 0.334932 | 0 | 0 | 0 | 0 | 0.119855 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.052632 | 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 |
519e717718802250addcc03ae24b702964950e74 | 15,237 | py | Python | api/backend/app/namespace/api.py | radsec/ottr | 411559a2bac307594c92d4d14667143cd04625ff | [
"Apache-2.0"
] | 207 | 2021-10-29T20:35:04.000Z | 2022-03-02T08:04:06.000Z | api/backend/app/namespace/api.py | wngn123/ottr | 411559a2bac307594c92d4d14667143cd04625ff | [
"Apache-2.0"
] | 3 | 2021-11-05T05:50:57.000Z | 2022-01-03T06:07:18.000Z | api/backend/app/namespace/api.py | wngn123/ottr | 411559a2bac307594c92d4d14667143cd04625ff | [
"Apache-2.0"
] | 19 | 2021-11-03T06:34:46.000Z | 2022-03-21T14:06:54.000Z | """
Copyright 2021-present Airbnb, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, sof... | 50.121711 | 800 | 0.64829 | 1,688 | 15,237 | 5.619076 | 0.167654 | 0.048498 | 0.020875 | 0.021402 | 0.558988 | 0.545704 | 0.50058 | 0.482657 | 0.469584 | 0.395888 | 0 | 0.014593 | 0.248934 | 15,237 | 303 | 801 | 50.287129 | 0.814226 | 0.049025 | 0 | 0.491597 | 0 | 0.008403 | 0.204863 | 0.033568 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042017 | false | 0.004202 | 0.046218 | 0 | 0.210084 | 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 |
519f171ce6f44a916c5bc406a1cd821a75880bb1 | 2,803 | py | Python | my_robot/launch/robot_description.launch.py | arpit6232/ros2_gazebo_integration | a57c781824166722d68b555e21fc48fcf856a0bd | [
"Apache-2.0"
] | null | null | null | my_robot/launch/robot_description.launch.py | arpit6232/ros2_gazebo_integration | a57c781824166722d68b555e21fc48fcf856a0bd | [
"Apache-2.0"
] | null | null | null | my_robot/launch/robot_description.launch.py | arpit6232/ros2_gazebo_integration | a57c781824166722d68b555e21fc48fcf856a0bd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import os
import yaml
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.actions import IncludeLaunchDescription
from launch.conditions import IfCondition
from launch.launch_descri... | 30.139785 | 99 | 0.699251 | 367 | 2,803 | 5.100817 | 0.283379 | 0.037393 | 0.026709 | 0.051282 | 0.169872 | 0.152778 | 0.126068 | 0.126068 | 0.126068 | 0.09188 | 0 | 0.000453 | 0.212629 | 2,803 | 92 | 100 | 30.467391 | 0.847757 | 0.136639 | 0 | 0.129032 | 0 | 0 | 0.123276 | 0.010029 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080645 | false | 0 | 0.16129 | 0 | 0.354839 | 0.016129 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51a0718e8863a5231ddc644bc610b93556c2f43d | 1,429 | py | Python | wouso/games/grandchallenge/views.py | AlexandruGhergut/wouso | f26244ff58ae626808ae8c58ccc93d21f9f2666f | [
"Apache-2.0"
] | 117 | 2015-01-02T18:07:33.000Z | 2021-01-06T22:36:25.000Z | wouso/games/grandchallenge/views.py | AlexandruGhergut/wouso | f26244ff58ae626808ae8c58ccc93d21f9f2666f | [
"Apache-2.0"
] | 229 | 2015-01-12T07:07:58.000Z | 2019-10-12T08:27:01.000Z | wouso/games/grandchallenge/views.py | AlexandruGhergut/wouso | f26244ff58ae626808ae8c58ccc93d21f9f2666f | [
"Apache-2.0"
] | 96 | 2015-01-07T05:26:09.000Z | 2020-06-25T07:28:51.000Z | from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, render_to_response
from django.template import RequestContext
from models import GrandChallengeGame, GrandChallengeUser
from wouso.core.ui import register_sidebar_block
from wouso.interfac... | 42.029412 | 110 | 0.748775 | 176 | 1,429 | 5.903409 | 0.392045 | 0.040423 | 0.032724 | 0.071222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153254 | 1,429 | 34 | 111 | 42.029412 | 0.858678 | 0.030091 | 0 | 0 | 0 | 0 | 0.137056 | 0.057288 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.259259 | 0 | 0.481481 | 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 |
51a2c3962a3a17215f77501362d5256d9fd5774a | 4,091 | py | Python | day_16.py | JamesOwers/aoc2017 | 682e73c3c80562e59cb9a3ce44c152fbd1994b97 | [
"MIT"
] | null | null | null | day_16.py | JamesOwers/aoc2017 | 682e73c3c80562e59cb9a3ce44c152fbd1994b97 | [
"MIT"
] | null | null | null | day_16.py | JamesOwers/aoc2017 | 682e73c3c80562e59cb9a3ce44c152fbd1994b97 | [
"MIT"
] | null | null | null | from __future__ import division, print_function
import os
from my_utils.tests import test_function
import string
def spin(inst_string, programs):
nr = int(inst_string)
if nr == 0:
return programs
old_programs = programs[:]
programs[0:nr] = old_programs[-nr:]
programs[nr:] = old_programs[0:-... | 30.080882 | 94 | 0.615742 | 519 | 4,091 | 4.643545 | 0.271676 | 0.045643 | 0.044813 | 0.038174 | 0.204564 | 0.154357 | 0.078838 | 0.061411 | 0.061411 | 0.061411 | 0 | 0.024124 | 0.260328 | 4,091 | 135 | 95 | 30.303704 | 0.772307 | 0.204595 | 0 | 0.117647 | 0 | 0 | 0.042245 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070588 | false | 0.011765 | 0.047059 | 0 | 0.188235 | 0.035294 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51a358ddac445393325f7c09b1e0d7e668772ee9 | 1,513 | py | Python | index/handler.py | googleglass/mirror-catfacts-python | 31d957cf9236128f8f4606668ce168b5e1470030 | [
"Apache-2.0"
] | 4 | 2016-10-13T22:17:52.000Z | 2020-08-08T18:29:23.000Z | index/handler.py | googleglass/mirror-catfacts-python | 31d957cf9236128f8f4606668ce168b5e1470030 | [
"Apache-2.0"
] | null | null | null | index/handler.py | googleglass/mirror-catfacts-python | 31d957cf9236128f8f4606668ce168b5e1470030 | [
"Apache-2.0"
] | 5 | 2015-02-21T09:04:13.000Z | 2020-02-02T00:01:38.000Z | # Copyright (C) 2014 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 28.018519 | 74 | 0.708526 | 187 | 1,513 | 5.636364 | 0.625668 | 0.056926 | 0.024668 | 0.030361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010535 | 0.184402 | 1,513 | 53 | 75 | 28.54717 | 0.843598 | 0.434898 | 0 | 0 | 0 | 0 | 0.163241 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.12 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51a987bb42f9129c3d434e226fa501c00fe36edf | 9,801 | py | Python | sportrefpy/nfl/player.py | alexkahan/sports_stats | 6fbc435c8fa0dffb0b7152ce42c055a252858c54 | [
"MIT"
] | null | null | null | sportrefpy/nfl/player.py | alexkahan/sports_stats | 6fbc435c8fa0dffb0b7152ce42c055a252858c54 | [
"MIT"
] | null | null | null | sportrefpy/nfl/player.py | alexkahan/sports_stats | 6fbc435c8fa0dffb0b7152ce42c055a252858c54 | [
"MIT"
] | null | null | null | import requests
import os
from bs4 import BeautifulSoup, Comment
import pandas as pd
import numpy as np
import enchant
from sportrefpy.nfl.league import NFL
from sportrefpy.errors.not_found import PlayerNotFound
class NFLPlayer(NFL):
def __init__(self, player):
super().__init__()
player_dict = ... | 42.986842 | 107 | 0.531374 | 1,017 | 9,801 | 5.036382 | 0.158309 | 0.034362 | 0.035143 | 0.02499 | 0.71105 | 0.666927 | 0.604842 | 0.59508 | 0.572433 | 0.556619 | 0 | 0.00277 | 0.336904 | 9,801 | 227 | 108 | 43.176211 | 0.785352 | 0.735741 | 0 | 0.121212 | 0 | 0 | 0.095851 | 0.024066 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.242424 | 0 | 0.30303 | 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 |
51acd2ce8f5fd62db4d35ce9e5d03738c3f8c0ff | 2,395 | py | Python | undiscord/server/__main__.py | nklapste/undiscord | 221b8387561494f1c721db21ef05729e0abb6b08 | [
"MIT"
] | 3 | 2019-06-14T21:36:08.000Z | 2020-12-21T09:25:30.000Z | undiscord/server/__main__.py | nklapste/undiscord | 221b8387561494f1c721db21ef05729e0abb6b08 | [
"MIT"
] | 3 | 2019-01-13T21:06:04.000Z | 2019-01-14T06:56:44.000Z | undiscord/server/__main__.py | nklapste/undiscord | 221b8387561494f1c721db21ef05729e0abb6b08 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""argparse and entry point script for undiscord flask/cheroot server"""
import argparse
import os
import sys
from logging import getLogger
from cheroot.wsgi import Server as WSGIServer, PathInfoDispatcher
import undiscord.server.server
from undiscord.common import add_... | 31.933333 | 108 | 0.65261 | 282 | 2,395 | 5.333333 | 0.368794 | 0.047872 | 0.055851 | 0.071809 | 0.065824 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005975 | 0.231315 | 2,395 | 74 | 109 | 32.364865 | 0.810972 | 0.093528 | 0 | 0 | 0 | 0 | 0.17688 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.134615 | 0 | 0.211538 | 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 |
51af100bd940df7f4472f28df5f3cb8e0fc2b56d | 8,943 | py | Python | logic/core/game.py | rdelacrz/connect-four | 7123d6e649aadcb76f429c61dde405527211c5b2 | [
"MIT"
] | null | null | null | logic/core/game.py | rdelacrz/connect-four | 7123d6e649aadcb76f429c61dde405527211c5b2 | [
"MIT"
] | null | null | null | logic/core/game.py | rdelacrz/connect-four | 7123d6e649aadcb76f429c61dde405527211c5b2 | [
"MIT"
] | null | null | null | """
Contains the logic needed to run a game of Connect Four.
"""
# Built-in modules
from copy import deepcopy
# User-defined modules
from .components import ConnectFourGrid, Disc
from .exceptions import IllegalAction, IllegalState, InvalidSpace
from ..utilities import js_callback
DISC_COLORS = [
'#F5473E', # re... | 39.570796 | 120 | 0.634015 | 1,272 | 8,943 | 4.312107 | 0.177673 | 0.061258 | 0.034093 | 0.026253 | 0.269098 | 0.194713 | 0.162078 | 0.129991 | 0.102461 | 0.071103 | 0 | 0.010255 | 0.280331 | 8,943 | 226 | 121 | 39.570796 | 0.841983 | 0.339931 | 0 | 0.181034 | 0 | 0 | 0.066667 | 0.004932 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.034483 | 0.017241 | 0.275862 | 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 |
51b196fb1c16109226ea07074ed93a9af4c9a3cb | 3,321 | py | Python | rdflib/plugins/parsers/pyRdfa/transform/DublinCore.py | gromgull/rdflib | 7c90f646e3734ee6d3081b5d3f699f0f501f6a39 | [
"BSD-3-Clause"
] | 8 | 2019-05-29T09:38:30.000Z | 2021-01-20T03:36:59.000Z | rdflib/plugins/parsers/pyRdfa/transform/DublinCore.py | gromgull/rdflib | 7c90f646e3734ee6d3081b5d3f699f0f501f6a39 | [
"BSD-3-Clause"
] | 12 | 2021-03-09T03:01:16.000Z | 2022-03-11T23:59:36.000Z | rdflib/plugins/parsers/pyRdfa/transform/DublinCore.py | gromgull/rdflib | 7c90f646e3734ee6d3081b5d3f699f0f501f6a39 | [
"BSD-3-Clause"
] | 4 | 2021-06-10T18:54:16.000Z | 2021-10-25T00:42:22.000Z | # -*- coding: utf-8 -*-
"""
Transfomer: handles the Dublin Core recommendation for XHTML for adding DC values. What this means is that:
- DC namespaces are defined via C{<link rel="schema.XX" value="...."/>}
- The 'XX.term' is used much like QNames in C{<link>} and C{<meta>} elements. For the latter, the namespaced ... | 33.887755 | 154 | 0.6486 | 464 | 3,321 | 4.640086 | 0.392241 | 0.013934 | 0.012541 | 0.016721 | 0.196935 | 0.182072 | 0.169066 | 0.169066 | 0.169066 | 0.169066 | 0 | 0.02344 | 0.203553 | 3,321 | 97 | 155 | 34.237113 | 0.79017 | 0.465824 | 0 | 0.489796 | 0 | 0 | 0.04823 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020408 | false | 0.020408 | 0.020408 | 0 | 0.081633 | 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 |
51b2b4ac9db120f311d239b140062958cf771fe6 | 2,898 | py | Python | app.py | Yaamboo/suomipelit-api | fd5d0058d4820667dd78669207ae7646055239f4 | [
"Apache-2.0"
] | null | null | null | app.py | Yaamboo/suomipelit-api | fd5d0058d4820667dd78669207ae7646055239f4 | [
"Apache-2.0"
] | null | null | null | app.py | Yaamboo/suomipelit-api | fd5d0058d4820667dd78669207ae7646055239f4 | [
"Apache-2.0"
] | null | null | null | from flask import abort, Flask, jsonify
import sqlite3
import re
from Suomipelit.jsonencoder import OmaEncoder
from Suomipelit.models import Peli, Peliarvostelu, Kappale, Kuva
app = Flask(__name__)
app.json_encoder = OmaEncoder
@app.route("/api/pelit")
def pelit():
return jsonify(lataa_pelit())
def lataa_pelit()... | 28.693069 | 180 | 0.613182 | 332 | 2,898 | 5.286145 | 0.268072 | 0.023932 | 0.02906 | 0.018234 | 0.164103 | 0.118519 | 0.094587 | 0.094587 | 0.094587 | 0.094587 | 0 | 0.006564 | 0.263975 | 2,898 | 100 | 181 | 28.98 | 0.816221 | 0.014493 | 0 | 0.157895 | 0 | 0.013158 | 0.141354 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065789 | false | 0 | 0.065789 | 0.013158 | 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 |
51b31553ef083d8d41b49feb74b1b78a77ce9832 | 1,563 | py | Python | ices_erf32_generator_cli.py | sharkdata/ices | e529a2636f06b942d39b57897ca17023f76fb80d | [
"MIT"
] | null | null | null | ices_erf32_generator_cli.py | sharkdata/ices | e529a2636f06b942d39b57897ca17023f76fb80d | [
"MIT"
] | null | null | null | ices_erf32_generator_cli.py | sharkdata/ices | e529a2636f06b942d39b57897ca17023f76fb80d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding:utf-8 -*-
#
# Copyright (c) 2021-present SMHI, Swedish Meteorological and Hydrological Institute
# License: MIT License (see LICENSE.txt or http://opensource.org/licenses/mit).
import pathlib
import click
import ices_erf32_generator_main
global ices_config
@click.command()
@click.opt... | 29.490566 | 84 | 0.666027 | 206 | 1,563 | 4.81068 | 0.42233 | 0.127144 | 0.151362 | 0.060545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042197 | 0.196417 | 1,563 | 52 | 85 | 30.057692 | 0.746815 | 0.152271 | 0 | 0.055556 | 0 | 0 | 0.226994 | 0.022239 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.083333 | 0 | 0.138889 | 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 |
51b3dd135b10c21259433ea1463301ed5c72163c | 2,790 | py | Python | test/module_train_test.py | nktankta/PytorchCNNModules | bc1469ceb37477d3f60062f14a750f272e7ceeb0 | [
"MIT"
] | null | null | null | test/module_train_test.py | nktankta/PytorchCNNModules | bc1469ceb37477d3f60062f14a750f272e7ceeb0 | [
"MIT"
] | null | null | null | test/module_train_test.py | nktankta/PytorchCNNModules | bc1469ceb37477d3f60062f14a750f272e7ceeb0 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
import numpy as np
from module_easyModel import EasyModel
from module_list import get_test_module
import pytest
test_modules = get_test_module()
transform = transforms.Compose(
[transforms... | 36.710526 | 69 | 0.524373 | 281 | 2,790 | 5.120996 | 0.398577 | 0.034746 | 0.018068 | 0.038916 | 0.051425 | 0.051425 | 0 | 0 | 0 | 0 | 0 | 0.030474 | 0.364875 | 2,790 | 75 | 70 | 37.2 | 0.781603 | 0 | 0 | 0.151515 | 0 | 0 | 0.047704 | 0 | 0 | 0 | 0 | 0 | 0.015152 | 1 | 0.015152 | false | 0 | 0.136364 | 0 | 0.151515 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51b52f4360dde9f8fcf753a559f4341aae212c20 | 1,592 | py | Python | Projects/project_2_packages/Team_cool/OLS_team_cool/logit.py | gen-li/modularizationandtesting | 103be0c80bd70ffcf4c700861497745733b72640 | [
"MIT"
] | null | null | null | Projects/project_2_packages/Team_cool/OLS_team_cool/logit.py | gen-li/modularizationandtesting | 103be0c80bd70ffcf4c700861497745733b72640 | [
"MIT"
] | null | null | null | Projects/project_2_packages/Team_cool/OLS_team_cool/logit.py | gen-li/modularizationandtesting | 103be0c80bd70ffcf4c700861497745733b72640 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.stats as st
import statsmodels as sm
from scipy import optimize
y = np.random.randint(2, size=(100,1))
x = np.random.normal(0,1,(100,2))
res_correct = sm.discrete.discrete_model.Logit(y,x).fit()
res_correct.params
def Logit(b,y,x):
# y = np.random.randint(2, size=(100,1))
# x... | 23.411765 | 119 | 0.557161 | 269 | 1,592 | 3.327138 | 0.30855 | 0.017877 | 0.020112 | 0.023464 | 0.215642 | 0.176536 | 0.149721 | 0.149721 | 0.149721 | 0.149721 | 0 | 0.050654 | 0.231156 | 1,592 | 67 | 120 | 23.761194 | 0.660131 | 0.564698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.222222 | 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 |
51bc4a4baca841ac8b5c86065dd040c9313df97d | 5,847 | py | Python | fractals/pytorch/model_processor.py | NeilBostian/ML | df487db8755ad074cdd42f1094747815ae555896 | [
"Unlicense"
] | 1 | 2019-10-11T21:36:06.000Z | 2019-10-11T21:36:06.000Z | fractals/pytorch/model_processor.py | NeilBostian/ML | df487db8755ad074cdd42f1094747815ae555896 | [
"Unlicense"
] | null | null | null | fractals/pytorch/model_processor.py | NeilBostian/ML | df487db8755ad074cdd42f1094747815ae555896 | [
"Unlicense"
] | null | null | null | import os
import random
import pickle
import datetime
import torch
import numpy as np
from PIL import Image
from model import Model
from train_data import TrainData
from loss_train_data import get_loss_train_data
class ModelProcessor():
def __init__(self, path):
self.path = path
self.device = tor... | 31.605405 | 116 | 0.507611 | 691 | 5,847 | 4.068017 | 0.180897 | 0.039843 | 0.032017 | 0.015653 | 0.334045 | 0.245464 | 0.245464 | 0.165777 | 0.118819 | 0.097474 | 0 | 0.011599 | 0.380708 | 5,847 | 185 | 117 | 31.605405 | 0.764706 | 0.017103 | 0 | 0.208333 | 0 | 0 | 0.110279 | 0.036411 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076389 | false | 0.006944 | 0.069444 | 0.006944 | 0.159722 | 0.034722 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51be5f0b52819e31e6e93a3882ca71e420ce2121 | 573 | py | Python | python/Python-Quick-Start/generator_func.py | pepincho/playground | 9202a3dab880ff789e5fb96b259c3e0c2503cb49 | [
"MIT"
] | null | null | null | python/Python-Quick-Start/generator_func.py | pepincho/playground | 9202a3dab880ff789e5fb96b259c3e0c2503cb49 | [
"MIT"
] | null | null | null | python/Python-Quick-Start/generator_func.py | pepincho/playground | 9202a3dab880ff789e5fb96b259c3e0c2503cb49 | [
"MIT"
] | null | null | null | # print all prime numbers in a range with a generator function in python
#that is an utility function
def isprime(n):
if n == 1:
return False
for x in range(2, n):
if n % x == 0:
return False
else:
return True
#generator function is used in the for loop as an iterator
#... | 23.875 | 72 | 0.624782 | 94 | 573 | 3.808511 | 0.457447 | 0.02514 | 0.022346 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020101 | 0.30541 | 573 | 23 | 73 | 24.913043 | 0.879397 | 0.460733 | 0 | 0.133333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0 | 0 | 0.333333 | 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 |
51c02944976e6d03f939af067e9a4a01386ea663 | 8,577 | py | Python | pygalgen/generator/common/source_file_parsing/parser_discovery_and_init.py | Kulivox/PyGalGen | 816004bce50703737384e2fbdcfe43b61ce2f4dd | [
"MIT"
] | null | null | null | pygalgen/generator/common/source_file_parsing/parser_discovery_and_init.py | Kulivox/PyGalGen | 816004bce50703737384e2fbdcfe43b61ce2f4dd | [
"MIT"
] | null | null | null | pygalgen/generator/common/source_file_parsing/parser_discovery_and_init.py | Kulivox/PyGalGen | 816004bce50703737384e2fbdcfe43b61ce2f4dd | [
"MIT"
] | null | null | null | """
Module responsible for discovery of import statements importing Argument parser
and discovery of the statements initializing the parser itself
"""
import ast
import sys
from typing import Tuple, Optional, Any, Set, List
from .parsing_exceptions import ArgParseImportNotFound, ArgParserNotUsed
from .parsing_commons i... | 35.589212 | 79 | 0.641483 | 1,046 | 8,577 | 5.09847 | 0.17304 | 0.039377 | 0.028502 | 0.025877 | 0.350834 | 0.270954 | 0.238702 | 0.184699 | 0.174198 | 0.174198 | 0 | 0.00097 | 0.279002 | 8,577 | 240 | 80 | 35.7375 | 0.861417 | 0.198205 | 0 | 0.303448 | 0 | 0 | 0.007876 | 0 | 0 | 0 | 0 | 0 | 0.006897 | 1 | 0.131034 | false | 0 | 0.075862 | 0.02069 | 0.365517 | 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 |
51c0e5193ac5162e3a0fb7638cb34cf6d76fc644 | 358 | py | Python | cpovc_pfs/pmtct/urls.py | uonafya/cpims-ovc-3.0 | ec2768c00fc0855eb4983a94204cfcdee0824e19 | [
"Apache-2.0"
] | 2 | 2022-02-26T14:04:40.000Z | 2022-03-23T17:33:32.000Z | cpovc_pfs/pmtct/urls.py | uonafya/cpims-ovc-3.0 | ec2768c00fc0855eb4983a94204cfcdee0824e19 | [
"Apache-2.0"
] | null | null | null | cpovc_pfs/pmtct/urls.py | uonafya/cpims-ovc-3.0 | ec2768c00fc0855eb4983a94204cfcdee0824e19 | [
"Apache-2.0"
] | 19 | 2022-02-26T13:44:58.000Z | 2022-03-26T17:20:22.000Z | from django.urls import path
from . import views
# This should contain urls related to OVC ONLY
urlpatterns = [
path('', views.pmtct_home, name='pmtct_home'),
path('new/<int:id>/', views.new_pmtct, name='new_pmtct'),
path('view/<int:id>/', views.view_pmtct, name='view_pmtct'),
path('edit/<int:id>/', vi... | 32.545455 | 64 | 0.678771 | 54 | 358 | 4.351852 | 0.407407 | 0.06383 | 0.12766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139665 | 358 | 10 | 65 | 35.8 | 0.762987 | 0.122905 | 0 | 0 | 0 | 0 | 0.25641 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51c49423dfa19179ff9a8960299203c4be600c6e | 311 | py | Python | delay.py | fleidloff/effect-pedal | 20680294e70979ec230ec2798c836a6447c49853 | [
"MIT"
] | null | null | null | delay.py | fleidloff/effect-pedal | 20680294e70979ec230ec2798c836a6447c49853 | [
"MIT"
] | null | null | null | delay.py | fleidloff/effect-pedal | 20680294e70979ec230ec2798c836a6447c49853 | [
"MIT"
] | null | null | null | import pyo
from settings import audioSource
s = pyo.Server(audio=audioSource, nchnls=1).boot()
s.start()
a = pyo.Input(chnl=0).out()
delay = pyo.Delay(a, delay=.5, feedback=.5)
delay.out()
while True:
s = raw_input('Delay');
if s == "q":
quit()
delay.setDelay(float(s))
#s.gui(locals()) | 17.277778 | 50 | 0.630225 | 49 | 311 | 3.979592 | 0.612245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015686 | 0.180064 | 311 | 18 | 51 | 17.277778 | 0.74902 | 0.048232 | 0 | 0 | 0 | 0 | 0.02027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 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 |
51c64365386b4968c448213772fdf24be5c8b7b8 | 297 | py | Python | djangoPharma/drugs/validators.py | thodoris/djangoPharma | 76089e67bc9940651a876d078879469127f5ac66 | [
"Apache-2.0"
] | null | null | null | djangoPharma/drugs/validators.py | thodoris/djangoPharma | 76089e67bc9940651a876d078879469127f5ac66 | [
"Apache-2.0"
] | null | null | null | djangoPharma/drugs/validators.py | thodoris/djangoPharma | 76089e67bc9940651a876d078879469127f5ac66 | [
"Apache-2.0"
] | null | null | null | from django.core.exceptions import ValidationError
from django.utils.translation import ugettext_lazy as _
def validate_integer(value):
if type(value) is not int:
raise ValidationError(
_('%(value)s is not an even number'),
params={'value': value},
)
| 27 | 55 | 0.659933 | 36 | 297 | 5.333333 | 0.722222 | 0.104167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.249158 | 297 | 10 | 56 | 29.7 | 0.860987 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51c80e982e0d954d47d04ce8e0ca20615f304653 | 6,568 | py | Python | Reto1/unet_training.py | Hackaton-JusticIA-2021/pista-latente-ML-sol | 3aeeae5970539c0b17358e4ac8585b13c9cea07b | [
"MIT"
] | null | null | null | Reto1/unet_training.py | Hackaton-JusticIA-2021/pista-latente-ML-sol | 3aeeae5970539c0b17358e4ac8585b13c9cea07b | [
"MIT"
] | null | null | null | Reto1/unet_training.py | Hackaton-JusticIA-2021/pista-latente-ML-sol | 3aeeae5970539c0b17358e4ac8585b13c9cea07b | [
"MIT"
] | 1 | 2021-08-22T02:38:38.000Z | 2021-08-22T02:38:38.000Z | import numpy as np
import cv2
import os
import keras
import tensorflow as tf
import random
import matplotlib.pyplot as plt
from glob import glob
from keras import layers
from keras.backend.tensorflow_backend import set_session
from tensorflow.python.client import device_lib
input_dir_1 = "unet/images/"
target_dir_1 = ... | 37.531429 | 105 | 0.701279 | 966 | 6,568 | 4.52381 | 0.238095 | 0.087872 | 0.071396 | 0.027231 | 0.414416 | 0.367735 | 0.303661 | 0.26865 | 0.132265 | 0.121281 | 0 | 0.023071 | 0.175091 | 6,568 | 175 | 106 | 37.531429 | 0.783499 | 0.140073 | 0 | 0.173554 | 0 | 0 | 0.053524 | 0.003925 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033058 | false | 0 | 0.090909 | 0.008264 | 0.157025 | 0.016529 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51c897010d686c63214412a25e6bca01df90e345 | 343 | py | Python | wangdai/spiders/zj_sprider.py | jiaoshenmene/wangdai | 82090948602bc756048b4655b41a8a342e58a03e | [
"MIT"
] | null | null | null | wangdai/spiders/zj_sprider.py | jiaoshenmene/wangdai | 82090948602bc756048b4655b41a8a342e58a03e | [
"MIT"
] | null | null | null | wangdai/spiders/zj_sprider.py | jiaoshenmene/wangdai | 82090948602bc756048b4655b41a8a342e58a03e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
class Sprider(scrapy.Spider):
name = "zj"
start_urls = [
'https://www.wdzj.com/pingji.html'
]
def parse(self , response):
for quote in response.css('div.tb-platname'):
yield {
'name': quote.css('a::text').extract_f... | 19.055556 | 62 | 0.51312 | 39 | 343 | 4.461538 | 0.871795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00431 | 0.323615 | 343 | 18 | 63 | 19.055556 | 0.74569 | 0.061224 | 0 | 0 | 0 | 0 | 0.186916 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.454545 | 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 |
51c925099b64da573af34c5499717de76a3fec2e | 706 | py | Python | asterisk/forms.py | ahmednamoha/astroapp | 10ff7d2fa92ce430ce39a036c501f64429ddcec7 | [
"MIT"
] | null | null | null | asterisk/forms.py | ahmednamoha/astroapp | 10ff7d2fa92ce430ce39a036c501f64429ddcec7 | [
"MIT"
] | null | null | null | asterisk/forms.py | ahmednamoha/astroapp | 10ff7d2fa92ce430ce39a036c501f64429ddcec7 | [
"MIT"
] | null | null | null | from django.db import models
from django import forms
from django.forms import ModelForm, TextInput, FileField, NumberInput
from .models import Extentions, Queue
class ExtentionsForm(ModelForm):
class Meta:
model = Extentions
fields = ['exten', 'file']
widgets = {'exten': NumberInput(
... | 29.416667 | 84 | 0.620397 | 71 | 706 | 6.169014 | 0.422535 | 0.068493 | 0.09589 | 0.143836 | 0.269406 | 0.196347 | 0 | 0 | 0 | 0 | 0 | 0.001848 | 0.233711 | 706 | 23 | 85 | 30.695652 | 0.807763 | 0 | 0 | 0.117647 | 0 | 0 | 0.201133 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.470588 | 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 |
51c93dd8819a23b3597d92e0d07d3b2369c52da0 | 1,983 | py | Python | admin-portal/therapy/models.py | oakbani/ksdp-portal | 8f44b3cb0081a7f31b9c8121883dd51945a05520 | [
"MIT"
] | null | null | null | admin-portal/therapy/models.py | oakbani/ksdp-portal | 8f44b3cb0081a7f31b9c8121883dd51945a05520 | [
"MIT"
] | null | null | null | admin-portal/therapy/models.py | oakbani/ksdp-portal | 8f44b3cb0081a7f31b9c8121883dd51945a05520 | [
"MIT"
] | 1 | 2021-09-19T10:58:17.000Z | 2021-09-19T10:58:17.000Z | from django.db import models
from clients.models import Client
# Create your models here.
class TherapyCenter(models.Model):
title = models.CharField(max_length=30)
location = models.CharField(max_length=30)
phone_no = models.CharField(max_length=15)
def __str__(self):
return self.title
clas... | 32.508197 | 118 | 0.665154 | 249 | 1,983 | 5.144578 | 0.301205 | 0.070258 | 0.117096 | 0.093677 | 0.466042 | 0.270101 | 0.232631 | 0.157689 | 0 | 0 | 0 | 0.02011 | 0.172466 | 1,983 | 60 | 119 | 33.05 | 0.760512 | 0.012103 | 0 | 0.217391 | 0 | 0.043478 | 0.145631 | 0.05723 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.043478 | 0.086957 | 0.76087 | 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 |
51ceefe54c4a73ce82c7712450c6f6534c6876d4 | 3,501 | py | Python | service/handlers/my_handler.py | ran-isenberg/aws-lambda-handler-cookbook | adfe58dacd87315151265818869bb842c7eb4971 | [
"MIT"
] | 61 | 2022-02-07T05:21:14.000Z | 2022-03-27T14:11:30.000Z | service/handlers/my_handler.py | ran-isenberg/aws-lambda-handler-cookbook | adfe58dacd87315151265818869bb842c7eb4971 | [
"MIT"
] | 17 | 2022-02-26T05:25:31.000Z | 2022-03-16T20:02:46.000Z | service/handlers/my_handler.py | ran-isenberg/aws-lambda-handler-cookbook | adfe58dacd87315151265818869bb842c7eb4971 | [
"MIT"
] | 4 | 2022-02-17T16:35:27.000Z | 2022-03-07T03:13:07.000Z | from http import HTTPStatus
from typing import Any, Dict
from aws_lambda_powertools.metrics.metrics import MetricUnit
from aws_lambda_powertools.utilities.feature_flags.exceptions import ConfigurationStoreError, SchemaValidationError
from aws_lambda_powertools.utilities.parser import ValidationError, parse
from aws_la... | 51.485294 | 115 | 0.790346 | 420 | 3,501 | 6.37619 | 0.304762 | 0.03286 | 0.056759 | 0.042942 | 0.137043 | 0.113144 | 0.037341 | 0.037341 | 0.037341 | 0 | 0 | 0.000326 | 0.123679 | 3,501 | 67 | 116 | 52.253731 | 0.872555 | 0.028849 | 0 | 0.072727 | 0 | 0 | 0.107153 | 0.012953 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0 | 0.272727 | 0 | 0.381818 | 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 |
51cf936521268672d39eaa8e60b4fea15504c4c2 | 327 | py | Python | faktura/breadcrumbs.py | Tethik/faktura | a2ffa7d93d9b4afbaafe02e5ae65c5e3541fd969 | [
"MIT"
] | null | null | null | faktura/breadcrumbs.py | Tethik/faktura | a2ffa7d93d9b4afbaafe02e5ae65c5e3541fd969 | [
"MIT"
] | 1 | 2016-02-16T10:06:34.000Z | 2016-02-16T10:06:34.000Z | faktura/breadcrumbs.py | Tethik/faktura | a2ffa7d93d9b4afbaafe02e5ae65c5e3541fd969 | [
"MIT"
] | null | null | null | class Breadcrumb:
def __init__(self, url, text):
self.url = url
self.text = text
url_dict = {
'Main Menu': '/',
'Invoices': '/invoices',
'Customers': '/customers',
'Settings': '/settings'
}
def breadcrumbs(*shortwords):
return [Breadcrumb(url_dict[word], word) for word in short... | 21.8 | 68 | 0.611621 | 36 | 327 | 5.388889 | 0.527778 | 0.072165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.232416 | 327 | 14 | 69 | 23.357143 | 0.772908 | 0 | 0 | 0 | 0 | 0 | 0.192661 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0.083333 | 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 |
51d3468a11499ea6c16dce5d6cf20348e89cbaf6 | 3,170 | py | Python | workon/contrib/tracking/models.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/contrib/tracking/models.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/contrib/tracking/models.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
import uuid
try:
from django.contrib.contenttypes.fields import GenericForeignKey
except ImportError:
from django.contrib.contenttypes.generic import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.utils.translation import ugette... | 28.053097 | 79 | 0.658991 | 329 | 3,170 | 6.091185 | 0.297872 | 0.090818 | 0.025449 | 0.043413 | 0.338822 | 0.324351 | 0.288423 | 0.239521 | 0.170659 | 0.05988 | 0 | 0.004948 | 0.235016 | 3,170 | 113 | 80 | 28.053097 | 0.821443 | 0.017666 | 0 | 0.266667 | 0 | 0 | 0.192159 | 0.044987 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.088889 | 0 | 0.322222 | 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 |
51d35292854e309612a05a0a9928f4f1a1103650 | 12,377 | py | Python | mister_ed/utils/checkpoints.py | jonasnm/geometric-certificates | 8730abaf2ab0c8972a2d40168d5fe64c8670fc62 | [
"MIT"
] | 40 | 2019-01-17T22:17:42.000Z | 2022-03-23T06:24:00.000Z | mister_ed/utils/checkpoints.py | Mortal12138/geometric-certificates | 8730abaf2ab0c8972a2d40168d5fe64c8670fc62 | [
"MIT"
] | 6 | 2019-08-03T08:49:21.000Z | 2022-03-11T23:43:56.000Z | mister_ed/utils/checkpoints.py | Mortal12138/geometric-certificates | 8730abaf2ab0c8972a2d40168d5fe64c8670fc62 | [
"MIT"
] | 4 | 2020-10-22T05:55:30.000Z | 2022-03-15T06:26:55.000Z | """ Code for saving/loading pytorch models and batches of adversarial images
CHECKPOINT NAMING CONVENTIONS:
<unique_experiment_name>.<architecture_abbreviation>.<6 digits of epoch number>.path
e.g.
fgsm_def.resnet32.20180301.120000.path
All checkpoints are stored in CHECKPOINT_DIR
Checkpoints are state dicts... | 38.437888 | 88 | 0.594328 | 1,439 | 12,377 | 4.90132 | 0.203614 | 0.039699 | 0.058982 | 0.022118 | 0.327095 | 0.281015 | 0.2321 | 0.191975 | 0.158656 | 0.139232 | 0 | 0.005213 | 0.302577 | 12,377 | 321 | 89 | 38.557632 | 0.811863 | 0.316474 | 0 | 0.106667 | 0 | 0 | 0.019475 | 0 | 0 | 0 | 0 | 0.006231 | 0.02 | 1 | 0.093333 | false | 0 | 0.06 | 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 |
51d4ea4507d80e27f773f363a22c466284face7c | 2,219 | py | Python | extra/carbontools.py | carbon-org/carbon | 454d087f85f7fb9408eb0bc10ae702b8de844648 | [
"MIT"
] | 9 | 2021-03-20T13:09:52.000Z | 2022-03-18T07:33:40.000Z | extra/carbontools.py | ThakeeNathees/Carbon | 454d087f85f7fb9408eb0bc10ae702b8de844648 | [
"MIT"
] | 4 | 2020-08-11T07:57:00.000Z | 2020-11-30T21:05:51.000Z | extra/carbontools.py | carbon-org/carbon | 454d087f85f7fb9408eb0bc10ae702b8de844648 | [
"MIT"
] | null | null | null |
import os, sys
import shutil
CARBON_DIR = os.path.dirname(__file__)
USAGE = '''\
'''
## USAGE:
## sys.path.append('path/to/carbon/')
## import carbontools.py as cbtools
## lib = cbtools.GET_CARBON_LIB(env)
def GET_CARBON_LIB(env):
## TODO: generate "*.gen.h" files
SOURCES = []
cbenv = env.Clone();
cbenv.A... | 19.8125 | 63 | 0.611537 | 304 | 2,219 | 4.345395 | 0.394737 | 0.027252 | 0.03785 | 0.036336 | 0.133989 | 0.034822 | 0 | 0 | 0 | 0 | 0 | 0.008287 | 0.184317 | 2,219 | 112 | 64 | 19.8125 | 0.721547 | 0.080216 | 0 | 0.046512 | 0 | 0 | 0.222662 | 0.014844 | 0 | 0 | 0 | 0.008929 | 0 | 1 | 0.069767 | false | 0.011628 | 0.023256 | 0 | 0.104651 | 0.081395 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51d59299ccdf71aaf83a73a14cec2a4bba7c6231 | 1,394 | py | Python | tests/profiler/test_smtfprofiler_events.py | aaronmarkham/sagemaker-debugger | d271fbefb0cbe9686100850249c96a40fdc45b06 | [
"Apache-2.0"
] | null | null | null | tests/profiler/test_smtfprofiler_events.py | aaronmarkham/sagemaker-debugger | d271fbefb0cbe9686100850249c96a40fdc45b06 | [
"Apache-2.0"
] | null | null | null | tests/profiler/test_smtfprofiler_events.py | aaronmarkham/sagemaker-debugger | d271fbefb0cbe9686100850249c96a40fdc45b06 | [
"Apache-2.0"
] | null | null | null | # First Party
from smdebug.profiler import SMTFProfilerEvents
def test_smtfprofiler_events(trace_file="./tests/profiler/smtf_profiler_trace.json"):
trace_json_file = trace_file
print(f"Reading the trace file {trace_json_file}")
t_events = SMTFProfilerEvents(trace_json_file)
all_trace_events = t_event... | 42.242424 | 98 | 0.781205 | 206 | 1,394 | 4.868932 | 0.271845 | 0.062812 | 0.04985 | 0.063809 | 0.36989 | 0.227318 | 0.063809 | 0.063809 | 0 | 0 | 0 | 0.084448 | 0.142037 | 1,394 | 32 | 99 | 43.5625 | 0.754181 | 0.025108 | 0 | 0 | 0 | 0 | 0.265683 | 0.089299 | 0 | 0 | 0 | 0 | 0.217391 | 1 | 0.043478 | false | 0 | 0.043478 | 0 | 0.086957 | 0.26087 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51d63a3e6da1e5e89a19fcaa83ea91fa806990e0 | 2,551 | py | Python | package/tests/test_PartSegCore/segmentation/test_segmentation_algorithm.py | neuromusic/PartSeg | a4edff1b9fbe55eb7f5e1fc8b5b3f8e730b35caf | [
"BSD-3-Clause"
] | 15 | 2020-03-21T03:27:56.000Z | 2022-03-21T07:46:39.000Z | package/tests/test_PartSegCore/segmentation/test_segmentation_algorithm.py | neuromusic/PartSeg | a4edff1b9fbe55eb7f5e1fc8b5b3f8e730b35caf | [
"BSD-3-Clause"
] | 479 | 2019-10-27T22:57:22.000Z | 2022-03-30T12:48:14.000Z | package/tests/test_PartSegCore/segmentation/test_segmentation_algorithm.py | neuromusic/PartSeg | a4edff1b9fbe55eb7f5e1fc8b5b3f8e730b35caf | [
"BSD-3-Clause"
] | 5 | 2020-02-05T14:25:02.000Z | 2021-12-21T03:44:52.000Z | from typing import Type
import numpy as np
import pytest
from PartSegCore.segmentation import ROIExtractionAlgorithm
from PartSegCore.segmentation.algorithm_base import ROIExtractionResult, SegmentationLimitException
from PartSegCore.segmentation.restartable_segmentation_algorithms import final_algorithm_list as rest... | 35.430556 | 113 | 0.73971 | 290 | 2,551 | 6.317241 | 0.337931 | 0.049127 | 0.07369 | 0.026201 | 0.114629 | 0.058952 | 0 | 0 | 0 | 0 | 0 | 0.012408 | 0.147001 | 2,551 | 71 | 114 | 35.929577 | 0.829504 | 0 | 0 | 0 | 0 | 0 | 0.085849 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 1 | 0.107143 | false | 0.017857 | 0.142857 | 0.035714 | 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 |
51d655292e154bea97fce427b26a455cc09bac09 | 958 | py | Python | bootstrap.py | ayang818/pyweb-template | d4b8c97b9e99166a6b6d856929ef670771b90fd3 | [
"MIT"
] | null | null | null | bootstrap.py | ayang818/pyweb-template | d4b8c97b9e99166a6b6d856929ef670771b90fd3 | [
"MIT"
] | null | null | null | bootstrap.py | ayang818/pyweb-template | d4b8c97b9e99166a6b6d856929ef670771b90fd3 | [
"MIT"
] | null | null | null | # coding=utf-8
import logging
import os
from flask import Flask
from cloudware_server.route.base import register_routes
def config_logger():
"""
设置日志等级
"""
logging.getLogger().setLevel(logging.INFO)
config_logger()
def create_app(config=None):
"""
创建 bootstrap app
"""
app = Flask... | 20.382979 | 68 | 0.656576 | 127 | 958 | 4.787402 | 0.488189 | 0.059211 | 0.098684 | 0.065789 | 0.121711 | 0.121711 | 0.121711 | 0.121711 | 0 | 0 | 0 | 0.006667 | 0.217119 | 958 | 46 | 69 | 20.826087 | 0.804 | 0.043841 | 0 | 0 | 0 | 0 | 0.063348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.148148 | 0 | 0.259259 | 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 |
51d7b2bb9f36934a7abf44cab165f9dd936da6f5 | 2,990 | py | Python | src/online/batch_job.py | jack139/fair | fe0ff64f8edbd794c3fb951ab6af420054e9e585 | [
"BSD-3-Clause"
] | 1 | 2019-07-16T09:46:39.000Z | 2019-07-16T09:46:39.000Z | src/online/batch_job.py | jack139/fair | fe0ff64f8edbd794c3fb951ab6af420054e9e585 | [
"BSD-3-Clause"
] | null | null | null | src/online/batch_job.py | jack139/fair | fe0ff64f8edbd794c3fb951ab6af420054e9e585 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import web
from bson.objectid import ObjectId
from config import setting
import helper
db = setting.db_web
url = ('/online/batch_job')
# - 批量处理订单
class handler:
def GET(self):
if helper.logged(helper.PRIV_USER,'BATCH_JOB'):
render = helper.create_render()
#use... | 31.473684 | 95 | 0.538462 | 446 | 2,990 | 3.46861 | 0.226457 | 0.061409 | 0.058177 | 0.096962 | 0.46671 | 0.458953 | 0.438268 | 0.404654 | 0.352295 | 0.336134 | 0 | 0.020949 | 0.217726 | 2,990 | 94 | 96 | 31.808511 | 0.640445 | 0.057191 | 0 | 0.067568 | 0 | 0 | 0.211052 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013514 | false | 0 | 0.054054 | 0 | 0.094595 | 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 |
51d8ae23bd3580d3a4606d438e3b8518ad7289ac | 8,124 | py | Python | attributes/architecture/main.py | Lufedi/reaper | bdf56b499e5b704c27b9f6c053d798c2a10fa4cf | [
"Apache-2.0"
] | null | null | null | attributes/architecture/main.py | Lufedi/reaper | bdf56b499e5b704c27b9f6c053d798c2a10fa4cf | [
"Apache-2.0"
] | 1 | 2021-03-16T20:28:19.000Z | 2021-03-16T20:28:19.000Z | attributes/architecture/main.py | Lufedi/reaper | bdf56b499e5b704c27b9f6c053d798c2a10fa4cf | [
"Apache-2.0"
] | 1 | 2022-03-04T01:21:09.000Z | 2022-03-04T01:21:09.000Z | import os
import re
import subprocess
import json
import networkx
from pygments import lexers, token, util
TOKENTYPE_WHITELIST = [
token.Name,
token.Name.Attribute,
token.Name.Builtin,
token.Name.Builtin.Pseudo,
token.Name.Constant,
token.Name.Decorator,
token.Name.Entity,
token.Name.E... | 31.858824 | 117 | 0.616322 | 1,035 | 8,124 | 4.712077 | 0.252174 | 0.033217 | 0.013943 | 0.010662 | 0.143121 | 0.132869 | 0.104162 | 0.089809 | 0.065204 | 0.043879 | 0 | 0.005619 | 0.27708 | 8,124 | 254 | 118 | 31.984252 | 0.824791 | 0.19387 | 0 | 0.111111 | 0 | 0.005556 | 0.08005 | 0.003568 | 0.005556 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.066667 | 0.011111 | 0.177778 | 0.016667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51d8b62bf25917e74c95918a73ec119b3673d41b | 1,065 | py | Python | opencv/colordetect/sendimage.py | ronhandler/gitroot | beb81c4b826939f16e57a98ac5845d8acecf151d | [
"Unlicense"
] | null | null | null | opencv/colordetect/sendimage.py | ronhandler/gitroot | beb81c4b826939f16e57a98ac5845d8acecf151d | [
"Unlicense"
] | null | null | null | opencv/colordetect/sendimage.py | ronhandler/gitroot | beb81c4b826939f16e57a98ac5845d8acecf151d | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
import sys
import os.path
import cv2
import numpy as np
import boto
from boto.s3.key import Key
cap = cv2.VideoCapture(0)
ret, new_image = cap.read()
if ret == False:
exit(1)
filename = 'new.jpg'
cv2.imwrite(filename, new_image)
bucket_name = 'ronhandler'
AWS_ACCESS_KEY_ID = 'AKIAIYLDR3LU2X... | 25.97561 | 81 | 0.723005 | 163 | 1,065 | 4.588957 | 0.552147 | 0.048128 | 0.032086 | 0.037433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043621 | 0.138967 | 1,065 | 40 | 82 | 26.625 | 0.772083 | 0.107981 | 0 | 0 | 0 | 0.034483 | 0.297782 | 0.069694 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.241379 | 0 | 0.241379 | 0.103448 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51dded95316bf909a713965fa3b3d3c363309051 | 2,782 | py | Python | hipp/utils/utils.py | cmcneil-usgs/hipp | be6f9f8cccdc32b7b96be92172977a5c4006500c | [
"MIT"
] | 12 | 2020-10-07T22:12:11.000Z | 2022-02-15T23:10:53.000Z | hipp/utils/utils.py | cmcneil-usgs/hipp | be6f9f8cccdc32b7b96be92172977a5c4006500c | [
"MIT"
] | 7 | 2020-10-11T23:42:55.000Z | 2021-12-15T23:16:43.000Z | hipp/utils/utils.py | cmcneil-usgs/hipp | be6f9f8cccdc32b7b96be92172977a5c4006500c | [
"MIT"
] | 4 | 2020-10-11T19:48:58.000Z | 2022-03-08T21:32:13.000Z | import glob
import os
import cv2
import hipp.io
import hipp.utils
"""
Library for command line tools.
"""
def optimize_geotif(geotif_file_name,
output_file_name=None,
verbose=False,
print_call=False):
if output_file_name is None:
... | 29.284211 | 83 | 0.515097 | 300 | 2,782 | 4.513333 | 0.25 | 0.124077 | 0.103397 | 0.088626 | 0.564993 | 0.564993 | 0.564993 | 0.520679 | 0.520679 | 0.520679 | 0 | 0.002311 | 0.377786 | 2,782 | 94 | 84 | 29.595745 | 0.779896 | 0 | 0 | 0.56338 | 0 | 0 | 0.097187 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042254 | false | 0 | 0.070423 | 0 | 0.15493 | 0.112676 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51e08e485ba5b37c52a2c10b26fc9af31001557a | 5,836 | py | Python | tests/test_preprocessing/test_encoding.py | ig248/timeserio | afc2a953a83e763418d417059493ef13a17d349c | [
"MIT"
] | 63 | 2019-07-12T17:16:27.000Z | 2022-02-22T11:06:50.000Z | tests/test_preprocessing/test_encoding.py | ig248/timeserio | afc2a953a83e763418d417059493ef13a17d349c | [
"MIT"
] | 34 | 2019-07-30T11:52:09.000Z | 2022-03-28T12:42:02.000Z | tests/test_preprocessing/test_encoding.py | ig248/timeserio | afc2a953a83e763418d417059493ef13a17d349c | [
"MIT"
] | 12 | 2019-08-14T05:51:22.000Z | 2021-03-15T09:34:15.000Z | import numpy as np
import numpy.testing as npt
import pytest
from sklearn.preprocessing import OneHotEncoder
from timeserio.preprocessing import (
FeatureIndexEncoder, StatelessOneHotEncoder,
StatelessTemporalOneHotEncoder, StatelessPeriodicEncoder
)
from timeserio.preprocessing.encoding import PeriodicEncoder... | 32.422222 | 76 | 0.600583 | 699 | 5,836 | 4.792561 | 0.153076 | 0.064478 | 0.056418 | 0.033433 | 0.546866 | 0.460597 | 0.412836 | 0.362687 | 0.333731 | 0.297015 | 0 | 0.028578 | 0.2805 | 5,836 | 179 | 77 | 32.603352 | 0.769231 | 0 | 0 | 0.310127 | 0 | 0 | 0.039239 | 0 | 0 | 0 | 0 | 0 | 0.075949 | 1 | 0.06962 | false | 0 | 0.037975 | 0 | 0.196203 | 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 |
51e1a411ad9558e7543b3930124feeca7cd75ff5 | 11,654 | py | Python | paper_examples/ex51_validation2D/main.py | jhabriel/mixdim-estimates | aa7041fe3fc7a13b820ef41dacefb759f4b592ff | [
"MIT"
] | 3 | 2022-02-15T14:56:16.000Z | 2022-03-24T10:20:00.000Z | paper_examples/ex51_validation2D/main.py | jhabriel/mixdim-estimates | aa7041fe3fc7a13b820ef41dacefb759f4b592ff | [
"MIT"
] | 3 | 2021-06-15T16:23:46.000Z | 2021-12-05T10:25:41.000Z | paper_examples/ex51_validation2D/main.py | jhabriel/mixdim-estimates | aa7041fe3fc7a13b820ef41dacefb759f4b592ff | [
"MIT"
] | null | null | null | # Importing modules
import numpy as np
import porepy as pp
import itertools
from time import time
from model import model
#%% Functions
def make_constrained_mesh(h=0.1):
"""
Creates unstructured mesh for a given target mesh size for the case of a
single vertical fracture embedded in the domain
Parame... | 32.282548 | 87 | 0.643041 | 1,706 | 11,654 | 4.094373 | 0.139508 | 0.067001 | 0.018468 | 0.030923 | 0.565211 | 0.538153 | 0.434503 | 0.397423 | 0.393414 | 0.393414 | 0 | 0.039266 | 0.204565 | 11,654 | 360 | 88 | 32.372222 | 0.714239 | 0.144843 | 0 | 0.395062 | 0 | 0.016461 | 0.213826 | 0.037169 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00823 | false | 0 | 0.024691 | 0 | 0.041152 | 0.016461 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51e7204783742c4d06205cf3ac4d3a46079650b3 | 22,987 | py | Python | slottools/PhotometryConfigWidget.py | apodemus/pysalt3 | 97bb790ad7bcf1137e3ffd2a7b32840ae7167358 | [
"BSD-3-Clause"
] | null | null | null | slottools/PhotometryConfigWidget.py | apodemus/pysalt3 | 97bb790ad7bcf1137e3ffd2a7b32840ae7167358 | [
"BSD-3-Clause"
] | null | null | null | slottools/PhotometryConfigWidget.py | apodemus/pysalt3 | 97bb790ad7bcf1137e3ffd2a7b32840ae7167358 | [
"BSD-3-Clause"
] | 1 | 2021-07-15T19:43:59.000Z | 2021-07-15T19:43:59.000Z | ################################# LICENSE ##################################
# Copyright (c) 2009, South African Astronomical Observatory (SAAO) #
# All rights reserved. #
# #
# Redistribu... | 39.428816 | 131 | 0.525253 | 2,404 | 22,987 | 5.009567 | 0.206323 | 0.030391 | 0.035871 | 0.028232 | 0.250851 | 0.19638 | 0.17313 | 0.150046 | 0.150046 | 0.150046 | 0 | 0.008578 | 0.355897 | 22,987 | 582 | 132 | 39.496564 | 0.804809 | 0.274938 | 0 | 0.196013 | 0 | 0 | 0.070532 | 0.004204 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049834 | false | 0.003322 | 0.043189 | 0 | 0.10299 | 0.003322 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51e720cfeb8235927a5ad18a3477edc29e509a46 | 1,895 | py | Python | Linked Lists/add_two_numbers.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | null | null | null | Linked Lists/add_two_numbers.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | null | null | null | Linked Lists/add_two_numbers.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | 1 | 2021-12-05T12:27:46.000Z | 2021-12-05T12:27:46.000Z | """
Add Two Numbers: Leetcode 2
You are given two non-empty linked lists representing two non-negative integers.
The digits are stored in reverse order, and each of their nodes contains a single digit.
Add the two numbers and return the sum as a linked list.
You may assume the two numbers do not contain any leading ... | 25.958904 | 91 | 0.543008 | 256 | 1,895 | 3.964844 | 0.472656 | 0.049261 | 0.032512 | 0.011823 | 0.053202 | 0.053202 | 0.053202 | 0 | 0 | 0 | 0 | 0.044764 | 0.375198 | 1,895 | 72 | 92 | 26.319444 | 0.8125 | 0.510818 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0 | 0 | 0.12 | 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 |
51e82124f47a81e7a21c3ded6ba32d9e42bbdaa0 | 6,539 | py | Python | darts_socket/darts_server/display.py | y-azuma/opencv-softdarts | 644778be219fb96cdde32b884157899d39fc14e5 | [
"MIT"
] | 9 | 2019-05-01T18:42:47.000Z | 2021-09-05T09:49:44.000Z | darts_socket/darts_server/display.py | y-azuma/opencv-softdarts | 644778be219fb96cdde32b884157899d39fc14e5 | [
"MIT"
] | null | null | null | darts_socket/darts_server/display.py | y-azuma/opencv-softdarts | 644778be219fb96cdde32b884157899d39fc14e5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import tkinter as tk
import sound
import socket
import threading
class ConnClient():
'''
ソケット通信によりラズベリーパイから画像情報を受け取る。
'''
def __init__(self,conn, addr):
self.conn_socket = conn
self.addr = addr
self.recvdata = 0
self.recvdata1 = 0
self.re... | 21.093548 | 76 | 0.570577 | 782 | 6,539 | 4.620205 | 0.283887 | 0.070855 | 0.039856 | 0.053141 | 0.217825 | 0.179352 | 0.114863 | 0.099917 | 0.090783 | 0.090783 | 0 | 0.058837 | 0.31121 | 6,539 | 309 | 77 | 21.161812 | 0.743339 | 0.027986 | 0 | 0.240506 | 0 | 0 | 0.040468 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042194 | false | 0 | 0.016878 | 0 | 0.063291 | 0.012658 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51eb7396a14c0a9adcd7a3d4b7b068d93d1985e2 | 2,566 | py | Python | neutron/tests/unit/services/trunk/drivers/openvswitch/agent/test_trunk_manager.py | p0i0/openstack-neutron | df2ee28ae9a43cc511482bd6ece5396eb1288814 | [
"Apache-2.0"
] | null | null | null | neutron/tests/unit/services/trunk/drivers/openvswitch/agent/test_trunk_manager.py | p0i0/openstack-neutron | df2ee28ae9a43cc511482bd6ece5396eb1288814 | [
"Apache-2.0"
] | null | null | null | neutron/tests/unit/services/trunk/drivers/openvswitch/agent/test_trunk_manager.py | p0i0/openstack-neutron | df2ee28ae9a43cc511482bd6ece5396eb1288814 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 Red Hat
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 37.735294 | 79 | 0.684334 | 324 | 2,566 | 5.274691 | 0.429012 | 0.035108 | 0.061439 | 0.067291 | 0.203043 | 0.167934 | 0.093622 | 0.093622 | 0 | 0 | 0 | 0.013138 | 0.228761 | 2,566 | 67 | 80 | 38.298507 | 0.85043 | 0.243959 | 0 | 0.097561 | 0 | 0 | 0.046778 | 0.028067 | 0 | 0 | 0 | 0 | 0.121951 | 1 | 0.121951 | false | 0.02439 | 0.146341 | 0 | 0.365854 | 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 |
51ec05cacfb6953f807cc60da921092f7aeb6965 | 873 | py | Python | app/schema/queries/todo.py | rjNemo/graphql_python_template | 14bc5fd657f6bdba8d7293f21cfcec821fa6374f | [
"MIT"
] | 1 | 2021-05-02T01:47:57.000Z | 2021-05-02T01:47:57.000Z | app/schema/queries/todo.py | rjNemo/graphql_python_template | 14bc5fd657f6bdba8d7293f21cfcec821fa6374f | [
"MIT"
] | null | null | null | app/schema/queries/todo.py | rjNemo/graphql_python_template | 14bc5fd657f6bdba8d7293f21cfcec821fa6374f | [
"MIT"
] | null | null | null | """
Defines the query and how to interact with
"""
from app.schema.types.todo import TodoListResponseField, TodoResponseField
from app.usecases.todo import read_all_todos, read_todo_by_id
def resolve_list_todos(self, info) -> TodoListResponseField:
try:
todos = read_all_todos()
is_success = True
... | 28.16129 | 78 | 0.717068 | 115 | 873 | 5.173913 | 0.426087 | 0.121008 | 0.040336 | 0.040336 | 0.141176 | 0.141176 | 0.141176 | 0.141176 | 0 | 0 | 0 | 0 | 0.213058 | 873 | 30 | 79 | 29.1 | 0.866084 | 0.04811 | 0 | 0 | 0 | 0 | 0.034022 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.3 | 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 |
51ef4f3354164b3ce73be7d1b2f9128704be0733 | 8,884 | py | Python | meiduo_mall/apps/orders/views.py | canarysama/meiduo_project | 906cf667e27fa205b18aeb10b009d76dec19b211 | [
"MIT"
] | null | null | null | meiduo_mall/apps/orders/views.py | canarysama/meiduo_project | 906cf667e27fa205b18aeb10b009d76dec19b211 | [
"MIT"
] | null | null | null | meiduo_mall/apps/orders/views.py | canarysama/meiduo_project | 906cf667e27fa205b18aeb10b009d76dec19b211 | [
"MIT"
] | null | null | null | import json
from datetime import datetime
from decimal import Decimal
from django import http
from django.contrib.auth.mixins import LoginRequiredMixin
from django.shortcuts import render
# Create your views here.
from django.views import View
from django_redis import get_redis_connection
from apps.goods.models imp... | 31.842294 | 124 | 0.533431 | 945 | 8,884 | 4.798942 | 0.225397 | 0.038589 | 0.023815 | 0.018523 | 0.261963 | 0.213892 | 0.174201 | 0.158765 | 0.144653 | 0.114223 | 0 | 0.019319 | 0.364926 | 8,884 | 278 | 125 | 31.956835 | 0.784474 | 0.06281 | 0 | 0.173913 | 0 | 0 | 0.060637 | 0.002826 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024845 | false | 0 | 0.093168 | 0 | 0.192547 | 0.006211 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51f094af4d80238e40eb72e75e31a6ae810f3f62 | 11,159 | py | Python | pie/tray_icon.py | sabaatworld/pie-indexing-service-py | f48ee18023f9c15e18fdb4296ba651fd343aef01 | [
"MIT"
] | 2 | 2020-03-30T18:00:40.000Z | 2020-05-30T17:09:04.000Z | pie/tray_icon.py | sabaatworld/pie-indexing-service-py | f48ee18023f9c15e18fdb4296ba651fd343aef01 | [
"MIT"
] | null | null | null | pie/tray_icon.py | sabaatworld/pie-indexing-service-py | f48ee18023f9c15e18fdb4296ba651fd343aef01 | [
"MIT"
] | null | null | null | import json
import logging
import os
import ssl
import webbrowser
from multiprocessing import Event, Queue
from urllib.request import urlopen
import certifi
from PySide2 import QtCore, QtGui, QtWidgets
from packaging import version
from pie.core import IndexDB, IndexingHelper, MediaProcessor
from pie.domain import In... | 46.690377 | 201 | 0.692087 | 1,232 | 11,159 | 6.039773 | 0.212662 | 0.056444 | 0.019352 | 0.0254 | 0.384491 | 0.27241 | 0.232899 | 0.213547 | 0.192313 | 0.180218 | 0 | 0.00058 | 0.226992 | 11,159 | 238 | 202 | 46.886555 | 0.862045 | 0 | 0 | 0.183575 | 0 | 0.014493 | 0.111928 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.10628 | false | 0.009662 | 0.072464 | 0 | 0.202899 | 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 |
51f40f22276db646a119642572727553613d35f0 | 8,903 | py | Python | vis_utils/graphics/geometry/procedural_primitives.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 4 | 2020-05-20T03:55:19.000Z | 2020-12-24T06:33:40.000Z | vis_utils/graphics/geometry/procedural_primitives.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 1 | 2020-05-18T11:21:35.000Z | 2020-07-07T21:25:57.000Z | vis_utils/graphics/geometry/procedural_primitives.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 1 | 2020-07-20T06:57:13.000Z | 2020-07-20T06:57:13.000Z | #!/usr/bin/env python
#
# Copyright 2019 DFKI GmbH.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merg... | 35.75502 | 116 | 0.550826 | 1,255 | 8,903 | 3.858964 | 0.165737 | 0.023126 | 0.099112 | 0.07516 | 0.516209 | 0.479455 | 0.410489 | 0.410489 | 0.404295 | 0.375594 | 0 | 0.064516 | 0.296642 | 8,903 | 248 | 117 | 35.899194 | 0.708879 | 0.173986 | 0 | 0.274854 | 0 | 0 | 0.002062 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040936 | false | 0 | 0.017544 | 0 | 0.099415 | 0.005848 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51f4f2785dcaeca906879c7e62e621e4a846114b | 9,212 | py | Python | src/tokentype.py | londav28/chasm | a5cd97ab2732af30d20aaf05842f3ddad7618660 | [
"MIT"
] | null | null | null | src/tokentype.py | londav28/chasm | a5cd97ab2732af30d20aaf05842f3ddad7618660 | [
"MIT"
] | null | null | null | src/tokentype.py | londav28/chasm | a5cd97ab2732af30d20aaf05842f3ddad7618660 | [
"MIT"
] | null | null | null | # MIT LICENSE Copyright (c) 2018 David Longnecker
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, ... | 21.98568 | 78 | 0.65469 | 1,536 | 9,212 | 3.434896 | 0.18099 | 0.088704 | 0.026156 | 0.034117 | 0.347612 | 0.272176 | 0.192381 | 0.072024 | 0.069371 | 0.052312 | 0 | 0.012102 | 0.246526 | 9,212 | 418 | 79 | 22.038278 | 0.748019 | 0.180743 | 0 | 0.127148 | 0 | 0 | 0.091962 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072165 | false | 0 | 0 | 0.061856 | 0.151203 | 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 |
51f6b55bf08cd3caaf58fe60b17883de8d75c7aa | 1,803 | py | Python | src/cr/sparse/_src/lop/reshape.py | carnot-shailesh/cr-sparse | 989ebead8a8ac37ade643093e1caa31ae2a3eda1 | [
"Apache-2.0"
] | 42 | 2021-06-11T17:11:29.000Z | 2022-03-29T11:51:44.000Z | src/cr/sparse/_src/lop/reshape.py | carnot-shailesh/cr-sparse | 989ebead8a8ac37ade643093e1caa31ae2a3eda1 | [
"Apache-2.0"
] | 19 | 2021-06-04T11:36:11.000Z | 2022-01-22T20:13:39.000Z | src/cr/sparse/_src/lop/reshape.py | carnot-shailesh/cr-sparse | 989ebead8a8ac37ade643093e1caa31ae2a3eda1 | [
"Apache-2.0"
] | 5 | 2021-11-21T21:01:11.000Z | 2022-02-28T07:20:03.000Z | # Copyright 2021 CR.Sparse Development Team
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 32.781818 | 86 | 0.702718 | 274 | 1,803 | 4.554745 | 0.390511 | 0.044872 | 0.041667 | 0.054487 | 0.298077 | 0.267628 | 0.190705 | 0.083333 | 0.083333 | 0.083333 | 0 | 0.00632 | 0.210205 | 1,803 | 54 | 87 | 33.388889 | 0.870084 | 0.552413 | 0 | 0 | 0 | 0 | 0.047425 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.125 | false | 0 | 0.1875 | 0 | 0.4375 | 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 |
51f6ed71939071c909f6f821aec31a10daf6299c | 637 | py | Python | innuy_lambda/settings/dev.py | innuy/innuy_lambda | 739d2573919513f08925fe63cad6e301b69323f9 | [
"MIT"
] | null | null | null | innuy_lambda/settings/dev.py | innuy/innuy_lambda | 739d2573919513f08925fe63cad6e301b69323f9 | [
"MIT"
] | 1 | 2020-06-05T18:21:24.000Z | 2020-06-05T18:21:24.000Z | innuy_lambda/settings/dev.py | innuy/innuy_lambda | 739d2573919513f08925fe63cad6e301b69323f9 | [
"MIT"
] | null | null | null | from .base import *
INSTALLED_APPS += [
'debug_toolbar',
'zappa_django_utils',
'storages',
]
MIDDLEWARE += [
'debug_toolbar.middleware.DebugToolbarMiddleware',
]
INTERNAL_IPS = [
'127.0.0.1',
]
DATABASES = {
'default': {
'ENGINE': 'zappa_django_utils.db.backends.s3sqlite',
'... | 18.735294 | 70 | 0.6719 | 70 | 637 | 5.785714 | 0.628571 | 0.059259 | 0.079012 | 0.098765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022945 | 0.178964 | 637 | 34 | 71 | 18.735294 | 0.751434 | 0 | 0 | 0 | 0 | 0 | 0.413793 | 0.194357 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041667 | 0 | 0.041667 | 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 |
51f7369f83b845973e9526f6db9b7f120362742a | 3,658 | py | Python | UNET.py | ArtemBoyarintsev/cell_segmentation | 9c0e70c1edbb20d661e392bab4c42002d13ebf06 | [
"MIT"
] | null | null | null | UNET.py | ArtemBoyarintsev/cell_segmentation | 9c0e70c1edbb20d661e392bab4c42002d13ebf06 | [
"MIT"
] | null | null | null | UNET.py | ArtemBoyarintsev/cell_segmentation | 9c0e70c1edbb20d661e392bab4c42002d13ebf06 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torchvision
class UNET(nn.Module):
THIRD_POOLING_INDEX = 16
FORTH_POOLING_INDEX = 23
def __init__(self, n_class = 1):
super(UNET, self).__init__()
# Contracting Path
self.c1 = UNET.get_conv2d_block(3, 16, 3, 1)
self.p1 = nn.... | 31.264957 | 96 | 0.5462 | 523 | 3,658 | 3.659656 | 0.193117 | 0.103448 | 0.073145 | 0.08464 | 0.360502 | 0.212121 | 0.194357 | 0.194357 | 0.131661 | 0.131661 | 0 | 0.092929 | 0.323401 | 3,658 | 117 | 97 | 31.264957 | 0.680404 | 0.056042 | 0 | 0.02381 | 0 | 0 | 0.012772 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.035714 | 0 | 0.130952 | 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 |
51f8bea04c27110192da44644da602e9cd13a9c7 | 4,538 | py | Python | order_center/api.py | YuaShizuki/order_center | 6f0a8831b7cef82cee5b2f6268822acbee9077c4 | [
"MIT"
] | null | null | null | order_center/api.py | YuaShizuki/order_center | 6f0a8831b7cef82cee5b2f6268822acbee9077c4 | [
"MIT"
] | null | null | null | order_center/api.py | YuaShizuki/order_center | 6f0a8831b7cef82cee5b2f6268822acbee9077c4 | [
"MIT"
] | null | null | null | import frappe
import os
import json
import datetime
import uuid
@frappe.whitelist(allow_guest=True)
def clustering_and_scheduling():
for trip in json.loads(frappe.local.request.values["inputData"]):
build_trip(trip)
def build_trip(dat):
d = frappe.get_doc({
"doctype":"DRS",
"trip_name"... | 34.907692 | 473 | 0.653812 | 539 | 4,538 | 5.378479 | 0.211503 | 0.067265 | 0.089686 | 0.112108 | 0.618144 | 0.618144 | 0.547775 | 0.481545 | 0.385995 | 0.35426 | 0 | 0.020323 | 0.154253 | 4,538 | 129 | 474 | 35.178295 | 0.735018 | 0.160864 | 0 | 0.407767 | 0 | 0 | 0.184114 | 0.020516 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15534 | false | 0 | 0.048544 | 0 | 0.223301 | 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 |
51f968ed80d1979d901e48aea3098c1013002f25 | 1,836 | py | Python | monkeytools/array_methods.py | mr-devs/monkeytools | e56197befcc0a14d9d082eb4463ebe27fb967116 | [
"MIT"
] | null | null | null | monkeytools/array_methods.py | mr-devs/monkeytools | e56197befcc0a14d9d082eb4463ebe27fb967116 | [
"MIT"
] | null | null | null | monkeytools/array_methods.py | mr-devs/monkeytools | e56197befcc0a14d9d082eb4463ebe27fb967116 | [
"MIT"
] | null | null | null | """
A collection of array-based algorithms
1. Find maximum sub-array
- https://en.wikipedia.org/wiki/Maximum_subarray_problem
Author: Matthew R. DeVerna
"""
from .utils import check_array
def max_subarray_kadane(given_array):
"""
Find a contiguous subarray with the largest sum.
Note: This algorithm i... | 27.818182 | 83 | 0.622004 | 247 | 1,836 | 4.45749 | 0.437247 | 0.038147 | 0.032698 | 0.034514 | 0.143506 | 0.143506 | 0.143506 | 0.081744 | 0 | 0 | 0 | 0.028422 | 0.271786 | 1,836 | 66 | 84 | 27.818182 | 0.795064 | 0.609477 | 0 | 0 | 0 | 0 | 0.0067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51fa66f7327624b0362e31f656c33d867492f9a3 | 2,922 | py | Python | Library/ContractUtils.py | rccannizzaro/QC-StrategyBacktest | 847dbd61680466bc60ce7893eced8a8f70d16b2e | [
"Apache-2.0"
] | 11 | 2021-12-02T15:41:47.000Z | 2022-03-14T03:49:22.000Z | Library/ContractUtils.py | ikamanu/QC-StrategyBacktest | 847dbd61680466bc60ce7893eced8a8f70d16b2e | [
"Apache-2.0"
] | null | null | null | Library/ContractUtils.py | ikamanu/QC-StrategyBacktest | 847dbd61680466bc60ce7893eced8a8f70d16b2e | [
"Apache-2.0"
] | 5 | 2022-02-02T12:07:51.000Z | 2022-02-13T02:24:19.000Z | ########################################################################################
# #
# Licensed under the Apache License, Version 2.0 (the "License"); #
# you may not use this file except in compliance with... | 48.7 | 132 | 0.558522 | 287 | 2,922 | 5.658537 | 0.393728 | 0.036946 | 0.018473 | 0.033251 | 0.166256 | 0.166256 | 0.166256 | 0.105911 | 0.105911 | 0.105911 | 0 | 0.003055 | 0.327858 | 2,922 | 59 | 133 | 49.525424 | 0.823829 | 0.485284 | 0 | 0.153846 | 0 | 0 | 0.004971 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.038462 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51fad0b66c4e3fa317158550a35e046091d71c7e | 24,945 | py | Python | backtester/backtester.py | unbalancedparentheses/backtester_options | 46efd30e405f360c560f8eae8b2ee7d26f4532db | [
"MIT"
] | 91 | 2020-01-31T10:15:35.000Z | 2022-03-27T19:15:12.000Z | backtester/backtester.py | unbalancedparentheses/backtester_options | 46efd30e405f360c560f8eae8b2ee7d26f4532db | [
"MIT"
] | 38 | 2019-05-12T02:00:46.000Z | 2019-12-06T14:54:25.000Z | backtester/backtester.py | unbalancedparentheses/backtester_options | 46efd30e405f360c560f8eae8b2ee7d26f4532db | [
"MIT"
] | 20 | 2020-06-12T08:21:30.000Z | 2022-03-28T05:52:59.000Z | from functools import reduce
import numpy as np
import pandas as pd
import pyprind
from .enums import *
class Backtest:
"""Backtest runner class."""
def __init__(self, allocation, initial_capital=1_000_000, shares_per_contract=100):
assets = ('stocks', 'options', 'cash')
total_allocation = s... | 47.066038 | 119 | 0.621768 | 2,949 | 24,945 | 5.016616 | 0.126823 | 0.049074 | 0.032446 | 0.013992 | 0.296945 | 0.191429 | 0.154049 | 0.107544 | 0.097066 | 0.084494 | 0 | 0.00344 | 0.277571 | 24,945 | 529 | 120 | 47.155009 | 0.817435 | 0.197394 | 0 | 0.09375 | 0 | 0 | 0.072942 | 0 | 0 | 0 | 0 | 0.00189 | 0.021875 | 1 | 0.078125 | false | 0 | 0.015625 | 0.015625 | 0.146875 | 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 |
51fb7539b1f2f6afaf1c56b1fdd1c2bde6b3883c | 7,948 | py | Python | kicktipper/predictor.py | Kricki/kicktipper | fae146c8df0d9ba9bebe84c1f20cf8df6fc39678 | [
"ISC"
] | 1 | 2016-11-23T16:09:46.000Z | 2016-11-23T16:09:46.000Z | kicktipper/predictor.py | Kricki/kicktipper | fae146c8df0d9ba9bebe84c1f20cf8df6fc39678 | [
"ISC"
] | 1 | 2017-04-21T08:38:39.000Z | 2018-07-19T20:46:10.000Z | kicktipper/predictor.py | Kricki/kicktipper | fae146c8df0d9ba9bebe84c1f20cf8df6fc39678 | [
"ISC"
] | null | null | null | import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
class MatchPredictor:
""" Class to calculates the probabilities for different scores (outcomes) of two teams.
Attributes
----------
l1 : float
Projected score for team 1 (expectation value for Poisson distribution)
... | 37.847619 | 120 | 0.6116 | 1,074 | 7,948 | 4.408752 | 0.234637 | 0.063358 | 0.032101 | 0.016895 | 0.293981 | 0.226822 | 0.196832 | 0.176558 | 0.145723 | 0.145723 | 0 | 0.021854 | 0.28611 | 7,948 | 209 | 121 | 38.028708 | 0.812654 | 0.45848 | 0 | 0.179775 | 0 | 0 | 0.070601 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.11236 | false | 0.011236 | 0.033708 | 0 | 0.235955 | 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 |
51fbfcfac2b93e98239de7ce36bcc1077cb951a1 | 7,012 | py | Python | app.py | ai4r/SGToolkit | 684df2cfc830eeb8ea23c95a8af1c9199991ec99 | [
"MIT"
] | 16 | 2021-08-11T08:55:41.000Z | 2022-02-11T02:45:55.000Z | app.py | ai4r/SGToolkit | 684df2cfc830eeb8ea23c95a8af1c9199991ec99 | [
"MIT"
] | 9 | 2021-09-07T14:52:59.000Z | 2022-03-24T13:33:00.000Z | app.py | ai4r/SGToolkit | 684df2cfc830eeb8ea23c95a8af1c9199991ec99 | [
"MIT"
] | 2 | 2021-08-25T06:00:43.000Z | 2021-10-07T00:57:49.000Z | from flask import Flask, render_template, request, send_file
from flask_pymongo import PyMongo
import json
import sg_core_api as sgapi
import os
import pathlib
import numpy as np
from bson.json_util import dumps
from bson.objectid import ObjectId
from datetime import datetime
from scipy.interpolate import CubicSpline
... | 33.075472 | 118 | 0.61138 | 847 | 7,012 | 4.864227 | 0.227863 | 0.050971 | 0.043689 | 0.031553 | 0.251942 | 0.20267 | 0.153155 | 0.107524 | 0.089563 | 0.089563 | 0 | 0.004599 | 0.255705 | 7,012 | 211 | 119 | 33.232227 | 0.784825 | 0.032801 | 0 | 0.301775 | 0 | 0 | 0.123284 | 0.032039 | 0 | 0 | 0 | 0 | 0.011834 | 1 | 0.053254 | false | 0 | 0.065089 | 0.011834 | 0.201183 | 0.047337 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51fdc866742d67c3e351348526ab6d8be86c0161 | 473 | py | Python | pins/pins.py | evarga/composite-decomposition | 07de8a21d1d1974a8a3b1346be1d5ee0d7764fa5 | [
"MIT"
] | null | null | null | pins/pins.py | evarga/composite-decomposition | 07de8a21d1d1974a8a3b1346be1d5ee0d7764fa5 | [
"MIT"
] | null | null | null | pins/pins.py | evarga/composite-decomposition | 07de8a21d1d1974a8a3b1346be1d5ee0d7764fa5 | [
"MIT"
] | null | null | null | from math import sqrt
def num_pins_full_row(n: int, k: int) -> int:
return (n // k + 1) * k + n % k + (n % k > 0) if n > 0 else 0
def num_pins_square(n: int, k: int) -> int:
m = int(sqrt(n))
used_pins = (m + 1)**2
n -= m * m
if 0 < n <= m:
used_pins += n + 1
elif n > m:
used_... | 23.65 | 65 | 0.541226 | 90 | 473 | 2.688889 | 0.322222 | 0.115702 | 0.082645 | 0.115702 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032836 | 0.291755 | 473 | 20 | 66 | 23.65 | 0.689552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0.071429 | 0.357143 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a40166e450ee628d6a50ace1f3007f22ec4f1689 | 6,239 | py | Python | blocking_utils.py | colebryant/DeepBlocker | e90bbe2c4fa75f53fccea20cbdebf71b9167584d | [
"BSD-3-Clause"
] | null | null | null | blocking_utils.py | colebryant/DeepBlocker | e90bbe2c4fa75f53fccea20cbdebf71b9167584d | [
"BSD-3-Clause"
] | null | null | null | blocking_utils.py | colebryant/DeepBlocker | e90bbe2c4fa75f53fccea20cbdebf71b9167584d | [
"BSD-3-Clause"
] | null | null | null | import pandas as pd
import numpy as np
def topK_neighbors_to_candidate_set(topK_neighbors):
#We create a data frame corresponding to topK neighbors.
# We are given a 2D matrix of the form 1: [a1, a2, a3], 2: [b1, b2, b3]
# where a1, a2, a3 are the top-3 neighbors for tuple 1 and so on.
# We will now cr... | 46.559701 | 179 | 0.702036 | 950 | 6,239 | 4.256842 | 0.184211 | 0.133531 | 0.131553 | 0.04451 | 0.56454 | 0.526212 | 0.481454 | 0.44634 | 0.369189 | 0.263106 | 0 | 0.014117 | 0.171181 | 6,239 | 133 | 180 | 46.909774 | 0.767937 | 0.150665 | 0 | 0.362637 | 0 | 0 | 0.197236 | 0.020254 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065934 | false | 0 | 0.021978 | 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 |
a401b7bfe3f33a4fcdd4603c34778103819c8259 | 1,989 | py | Python | project/simulation/naive/iterated_prisoners.py | horken7/game-theory | c5484e6c338646e8143e90290efdc07acf397f22 | [
"MIT"
] | null | null | null | project/simulation/naive/iterated_prisoners.py | horken7/game-theory | c5484e6c338646e8143e90290efdc07acf397f22 | [
"MIT"
] | null | null | null | project/simulation/naive/iterated_prisoners.py | horken7/game-theory | c5484e6c338646e8143e90290efdc07acf397f22 | [
"MIT"
] | null | null | null |
# coding: utf-8
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
both_coorporate_utility = 3
both_defect_utility = 1
looser_utility = 0
winner_utility = 3
a_resources = 2
b_resources = 2
a_actions = []
b_actions = []
a_utility = []
b_utility = []
rounds = 20
# Defect: action 0
# Cooperate... | 26.52 | 86 | 0.711413 | 322 | 1,989 | 4.177019 | 0.232919 | 0.035688 | 0.026766 | 0.047584 | 0.331599 | 0.331599 | 0.30632 | 0.30632 | 0.30632 | 0.30632 | 0 | 0.019059 | 0.155857 | 1,989 | 74 | 87 | 26.878378 | 0.782013 | 0.092509 | 0 | 0.226415 | 0 | 0 | 0.057446 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.056604 | 0 | 0.09434 | 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 |
a403cb1eb639ba6d23d5ad19b32afabf17e2a3db | 844 | py | Python | higher_lower/__init__.py | simonw/higher-lower | 436810573bfcb0175738b6636b6b4d790b81183b | [
"Apache-2.0"
] | 2 | 2021-02-16T08:45:24.000Z | 2021-02-22T01:30:29.000Z | higher_lower/__init__.py | simonw/higher-lower | 436810573bfcb0175738b6636b6b4d790b81183b | [
"Apache-2.0"
] | 1 | 2021-02-16T07:17:21.000Z | 2021-02-16T19:39:12.000Z | higher_lower/__init__.py | simonw/higher-lower | 436810573bfcb0175738b6636b6b4d790b81183b | [
"Apache-2.0"
] | null | null | null | from enum import Enum
class ActualIs(Enum):
HIGHER = 1
MATCH = 0
LOWER = -1
def higher_lower(min_value, max_value, callback):
assert isinstance(max_value, int)
assert isinstance(min_value, int)
assert max_value > min_value
candidate = midpoint(min_value, max_value)
while True:
... | 25.575758 | 62 | 0.61019 | 100 | 844 | 5.02 | 0.36 | 0.095618 | 0.101594 | 0.063745 | 0.115538 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006944 | 0.317536 | 844 | 32 | 63 | 26.375 | 0.864583 | 0.014218 | 0 | 0 | 0 | 0 | 0.041013 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.083333 | false | 0 | 0.041667 | 0.041667 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a405507dac4880c95cf65af8bea272bbc90ef96d | 4,819 | py | Python | satcfe/resposta/enviardadosvenda.py | danielgoncalves/satcfe | b460eaa2fc09b891b68a4ad25db5f7c45a1fcf4f | [
"Apache-2.0"
] | 38 | 2015-05-25T02:57:16.000Z | 2022-01-18T21:01:49.000Z | satcfe/resposta/enviardadosvenda.py | danielgoncalves/satcfe | b460eaa2fc09b891b68a4ad25db5f7c45a1fcf4f | [
"Apache-2.0"
] | 15 | 2015-08-19T13:30:46.000Z | 2022-01-19T22:34:17.000Z | satcfe/resposta/enviardadosvenda.py | danielgoncalves/satcfe | b460eaa2fc09b891b68a4ad25db5f7c45a1fcf4f | [
"Apache-2.0"
] | 13 | 2015-05-07T01:10:12.000Z | 2022-02-04T14:30:01.000Z | # -*- coding: utf-8 -*-
#
# satcfe/resposta/enviardadosvenda.py
#
# Copyright 2015 Base4 Sistemas Ltda ME
#
# 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/license... | 31.703947 | 76 | 0.564225 | 469 | 4,819 | 5.716418 | 0.45629 | 0.02238 | 0.02984 | 0.035808 | 0.23536 | 0.131294 | 0.131294 | 0.131294 | 0.131294 | 0.131294 | 0 | 0.007334 | 0.349243 | 4,819 | 151 | 77 | 31.913907 | 0.847577 | 0.426645 | 0 | 0.31746 | 0 | 0 | 0.073622 | 0 | 0 | 0 | 0 | 0.006623 | 0 | 1 | 0.063492 | false | 0 | 0.206349 | 0.015873 | 0.349206 | 0.015873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4097c2af9c121f0f61a10affe12d058da5aad64 | 2,769 | py | Python | bocadillo_cli/helpers.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 6 | 2019-04-17T17:07:46.000Z | 2020-08-09T07:37:34.000Z | bocadillo_cli/helpers.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 10 | 2019-04-17T21:27:46.000Z | 2019-06-17T05:45:51.000Z | bocadillo_cli/helpers.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 1 | 2019-05-12T17:32:45.000Z | 2019-05-12T17:32:45.000Z | import pathlib
import pkgutil
import typing
from contextlib import contextmanager
import click
from jinja2 import Template
from . import formatutils as fmt
class Templates:
def __init__(self, context: dict):
self.context = context
@staticmethod
def _get(name: str) -> Template:
path = st... | 29.774194 | 76 | 0.562658 | 320 | 2,769 | 4.80625 | 0.309375 | 0.042913 | 0.029259 | 0.019506 | 0.026008 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001613 | 0.328277 | 2,769 | 92 | 77 | 30.097826 | 0.825269 | 0 | 0 | 0.131579 | 0 | 0 | 0.079812 | 0.017335 | 0 | 0 | 0 | 0 | 0.013158 | 1 | 0.118421 | false | 0 | 0.092105 | 0.013158 | 0.289474 | 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 |
a409daf46a3fa04de8f0e145bfe66c2e1af54b0c | 1,637 | py | Python | extras/cleanup-meshes.py | RQWorldblender/io_scene_numdlb | 8a67c092f1aef9536e6de7cc7665dec77c0d52c6 | [
"MIT"
] | 2 | 2020-12-04T14:55:09.000Z | 2021-03-04T02:11:27.000Z | extras/cleanup-meshes.py | RQWorldblender/io_scene_numdlb | 8a67c092f1aef9536e6de7cc7665dec77c0d52c6 | [
"MIT"
] | null | null | null | extras/cleanup-meshes.py | RQWorldblender/io_scene_numdlb | 8a67c092f1aef9536e6de7cc7665dec77c0d52c6 | [
"MIT"
] | 1 | 2021-03-04T02:11:42.000Z | 2021-03-04T02:11:42.000Z | import bpy, os
# Select Expressions
mesh_expr = ["*Blink*", "*Attack*", "*Ouch*", "*Talk*", "*Capture*", "*Ottotto*", "*Escape*", "*Half*", "*Pattern*", "*Result*", "*Harf*","*Hot*", "*Heavy*", "*Voice*", "*Fura*", "*Throw*", "*Catch*", "*Cliff*", "*FLIP*", "*Bound*", "*Down*", "*Bodybig*", "*Final*", "*Result*", "... | 38.97619 | 362 | 0.596823 | 194 | 1,637 | 4.948454 | 0.469072 | 0.04375 | 0.075 | 0.1125 | 0.276042 | 0.276042 | 0.147917 | 0.075 | 0.075 | 0.075 | 0 | 0.002364 | 0.224801 | 1,637 | 41 | 363 | 39.926829 | 0.754137 | 0.156384 | 0 | 0.222222 | 0 | 0 | 0.189047 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.037037 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cf8bc62feb8e0471e65e54c2a009471153f8ea88 | 636 | py | Python | _sadm/listen/handlers/exec.py | jrmsdev/pysadm | 0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37 | [
"BSD-3-Clause"
] | 1 | 2019-10-15T08:37:56.000Z | 2019-10-15T08:37:56.000Z | _sadm/listen/handlers/exec.py | jrmsdev/pysadm | 0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37 | [
"BSD-3-Clause"
] | null | null | null | _sadm/listen/handlers/exec.py | jrmsdev/pysadm | 0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Jeremías Casteglione <jrmsdev@gmail.com>
# See LICENSE file.
import json
from bottle import request
from _sadm import log
from _sadm.listen.errors import error
from _sadm.listen.webhook.repo.vcs.git import GitRepo
__all__ = ['exech']
_taskman = {
'webhook.repo.git': GitRepo(),
}
def handle(task, a... | 22.714286 | 60 | 0.709119 | 95 | 636 | 4.652632 | 0.578947 | 0.054299 | 0.063348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011215 | 0.158805 | 636 | 27 | 61 | 23.555556 | 0.814953 | 0.113208 | 0 | 0 | 0 | 0 | 0.135472 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.25 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cf8e095b2dfd6ed697713c2bc61fb4d1890cfd30 | 579 | py | Python | EstruturaDeRepeticao/exercicio19.py | Nicolas-Wursthorn/exercicios-python-brasil | b2b564d48b519be04643636033ec0815e6d99ea1 | [
"MIT"
] | null | null | null | EstruturaDeRepeticao/exercicio19.py | Nicolas-Wursthorn/exercicios-python-brasil | b2b564d48b519be04643636033ec0815e6d99ea1 | [
"MIT"
] | null | null | null | EstruturaDeRepeticao/exercicio19.py | Nicolas-Wursthorn/exercicios-python-brasil | b2b564d48b519be04643636033ec0815e6d99ea1 | [
"MIT"
] | null | null | null | # Altere o programa anterior para que ele aceite apenas números entre 0 e 1000
condition = True
conjunto = []
while condition:
numero = int(input("Digite os números do conjunto (Digite 0 para parar): "))
if numero == 0:
break
elif numero > 1000 or numero < 0:
print("Digite somente números... | 30.473684 | 80 | 0.659758 | 80 | 579 | 4.775 | 0.5375 | 0.104712 | 0.125654 | 0.073298 | 0.094241 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037611 | 0.219344 | 579 | 19 | 81 | 30.473684 | 0.807522 | 0.131261 | 0 | 0 | 0 | 0 | 0.366534 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.307692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cf8ef2b45d7d458a65d6c785888a76f8daf2c51b | 750 | py | Python | cogs/help.py | moisesjsanchez/anime-movie-discord-bot | 2979dc28cc6250e56f713c2d6483aaaff7688176 | [
"MIT"
] | null | null | null | cogs/help.py | moisesjsanchez/anime-movie-discord-bot | 2979dc28cc6250e56f713c2d6483aaaff7688176 | [
"MIT"
] | 2 | 2021-05-03T04:48:46.000Z | 2021-05-06T08:29:23.000Z | cogs/help.py | moisesjsanchez/anime-movie-discord-bot | 2979dc28cc6250e56f713c2d6483aaaff7688176 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
class Help(commands.Cog):
def __init__(self, client):
self.client = client
# settings up the custom help functions
@commands.command()
async def help(self, ctx):
embed = discord.Embed(
title='Fathom Chan', description="A bot... | 28.846154 | 141 | 0.665333 | 100 | 750 | 4.92 | 0.58 | 0.04065 | 0.056911 | 0.069106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01049 | 0.237333 | 750 | 25 | 142 | 30 | 0.84965 | 0.049333 | 0 | 0.125 | 0 | 0 | 0.274262 | 0 | 0 | 0 | 0.011252 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.3125 | 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 |
cf8fb65655bb2de90066c1c7dab90f53f736211b | 2,255 | py | Python | summarize/modules/coverage_matrix_attention/coverage_matrix_attention.py | danieldeutsch/summarize | f36a86d58f381ff1f607f356dad3d6ef7b0e0224 | [
"Apache-2.0"
] | 15 | 2019-11-01T11:49:44.000Z | 2021-01-19T06:59:32.000Z | summarize/modules/coverage_matrix_attention/coverage_matrix_attention.py | CogComp/summary-cloze | b38e3e8c7755903477fd92a4cff27125cbf5553d | [
"Apache-2.0"
] | 2 | 2020-03-30T07:54:01.000Z | 2021-11-15T16:27:42.000Z | summarize/modules/coverage_matrix_attention/coverage_matrix_attention.py | CogComp/summary-cloze | b38e3e8c7755903477fd92a4cff27125cbf5553d | [
"Apache-2.0"
] | 3 | 2019-12-06T05:57:51.000Z | 2019-12-11T11:34:21.000Z | import torch
from allennlp.common.registrable import Registrable
from typing import Tuple
class CoverageMatrixAttention(torch.nn.Module, Registrable):
"""
The ``CoverageMatrixAttention`` computes a matrix of attention probabilities
between the encoder and decoder outputs. The attention function has access... | 45.1 | 98 | 0.701552 | 263 | 2,255 | 5.882129 | 0.34981 | 0.071105 | 0.054299 | 0.061409 | 0.229476 | 0.125404 | 0.071105 | 0.071105 | 0.071105 | 0.071105 | 0 | 0 | 0.244789 | 2,255 | 49 | 99 | 46.020408 | 0.908397 | 0.695344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cf938a4c23d460c727e0aec9347ad4f5e6ef02f9 | 6,373 | py | Python | test/test_oscope_tf.py | alexisboukouvalas/OscoNet | f100d1ccfe8f7dad050a3082773a4b6383a4994a | [
"MIT"
] | 1 | 2020-09-03T10:00:44.000Z | 2020-09-03T10:00:44.000Z | test/test_oscope_tf.py | alexisboukouvalas/OscoNet | f100d1ccfe8f7dad050a3082773a4b6383a4994a | [
"MIT"
] | 1 | 2022-02-10T02:22:05.000Z | 2022-02-10T02:22:05.000Z | test/test_oscope_tf.py | alexisboukouvalas/OscoNet | f100d1ccfe8f7dad050a3082773a4b6383a4994a | [
"MIT"
] | 1 | 2019-09-25T16:44:30.000Z | 2019-09-25T16:44:30.000Z | """
TensorFlow 2 OscoNet code
"""
import numpy as np
import pytest
import tensorflow as tf
from OscopeBootstrap import qvalue
from OscopeBootstrap.create_edge_network_represention import create_edge_network_representation
from OscopeBootstrap.oscope_tf import PRECISION_fp, calc_e2, calc_e2_many_genes, find_best_psi_fo... | 40.852564 | 133 | 0.672682 | 961 | 6,373 | 4.216441 | 0.204995 | 0.062192 | 0.063179 | 0.020731 | 0.293435 | 0.23692 | 0.14462 | 0.10612 | 0.092794 | 0.057749 | 0 | 0.022075 | 0.218108 | 6,373 | 155 | 134 | 41.116129 | 0.79109 | 0.09399 | 0 | 0.093458 | 0 | 0 | 0.036449 | 0 | 0 | 0 | 0 | 0 | 0.17757 | 1 | 0.074766 | false | 0 | 0.074766 | 0.009346 | 0.17757 | 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 |
cf96ec46a9f75ae061cfdda9d111b67ea90fbbf5 | 458 | py | Python | LC/9.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | 2 | 2018-02-24T17:20:02.000Z | 2018-02-24T17:25:43.000Z | LC/9.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | LC/9.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | class Solution(object):
def isPalindrome(self, x):
"""
:type x: int
:rtype: bool
"""
if x<0:
return False
a=x
b=0
while(a!=0):
# 1. get last digit of a and add to b, b=b*10+lastdigit
b=b*10+a%10
... | 24.105263 | 67 | 0.423581 | 65 | 458 | 2.984615 | 0.507692 | 0.030928 | 0.113402 | 0.123711 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054852 | 0.482533 | 458 | 19 | 68 | 24.105263 | 0.763713 | 0.28821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 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 |
cf976cb08811d9daaefe1b3400c3ef25e10128c3 | 1,918 | py | Python | live.py | ardamavi/Vocalize-Sign-Language | b00ce8c2a54f7f333ba8b3612567448281abfc61 | [
"Apache-2.0"
] | 65 | 2017-06-10T19:34:42.000Z | 2022-03-15T06:47:29.000Z | live.py | sygops/Vocalize-Sign-Language | b19f6251e48478193c3a8001966edf2d421e8281 | [
"Apache-2.0"
] | 1 | 2021-09-08T04:04:55.000Z | 2021-09-09T03:24:37.000Z | live.py | sygops/Vocalize-Sign-Language | b19f6251e48478193c3a8001966edf2d421e8281 | [
"Apache-2.0"
] | 25 | 2018-01-08T15:02:05.000Z | 2021-11-16T16:31:42.000Z | # Arda Mavi
import os
import cv2
import platform
import numpy as np
from predict import predict
from scipy.misc import imresize
from multiprocessing import Process
from keras.models import model_from_json
img_size = 64
channel_size = 1
def main():
# Getting model:
model_file = open('Data/Model/model.json', 'r... | 30.935484 | 101 | 0.618874 | 257 | 1,918 | 4.435798 | 0.412451 | 0.030702 | 0.022807 | 0.019298 | 0.04386 | 0.04386 | 0 | 0 | 0 | 0 | 0 | 0.028592 | 0.270594 | 1,918 | 61 | 102 | 31.442623 | 0.786276 | 0.145464 | 0 | 0.046512 | 0 | 0 | 0.062654 | 0.025799 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.186047 | 0 | 0.209302 | 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 |
cf9c1389b641f423d0d37afccaff7445dbc77a66 | 1,028 | py | Python | examples/webhook/server.py | Alma-field/twitcaspy | 25f3e850f2d5aab8a864bd6b7003468587fa3ea7 | [
"MIT"
] | null | null | null | examples/webhook/server.py | Alma-field/twitcaspy | 25f3e850f2d5aab8a864bd6b7003468587fa3ea7 | [
"MIT"
] | 18 | 2021-10-01T13:40:01.000Z | 2021-10-18T12:34:57.000Z | examples/webhook/server.py | Alma-field/twitcaspy | 25f3e850f2d5aab8a864bd6b7003468587fa3ea7 | [
"MIT"
] | null | null | null | # Twitcaspy
# Copyright 2021 Alma-field
# See LICENSE for details.
# Before running this code, run the following command:
# このコードを実行する前に、以下のコマンドを実行してください。
# pip install twitcaspy[webhook]
from flask import Flask, request, make_response, jsonify, abort
app = Flask(__name__)
from twitcaspy import api, TwitcaspyExcepti... | 31.151515 | 63 | 0.678988 | 125 | 1,028 | 5.44 | 0.608 | 0.026471 | 0.055882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006017 | 0.191634 | 1,028 | 32 | 64 | 32.125 | 0.812274 | 0.238327 | 0 | 0 | 0 | 0 | 0.230272 | 0.109961 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.166667 | 0 | 0.277778 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cf9db563a203c43bbc7c0bac94e9bc037f070989 | 7,814 | py | Python | SK_Net_Plus.py | xingshulicc/Channel_Attention_Selection | c51b8de34ddfe5d6a88dd3ab5e846930f53e7476 | [
"MIT"
] | 2 | 2020-10-26T06:44:29.000Z | 2020-10-31T06:06:59.000Z | SK_Net_Plus.py | xingshulicc/Channel_Attention_Selection | c51b8de34ddfe5d6a88dd3ab5e846930f53e7476 | [
"MIT"
] | null | null | null | SK_Net_Plus.py | xingshulicc/Channel_Attention_Selection | c51b8de34ddfe5d6a88dd3ab5e846930f53e7476 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
"""
Created on Fri Oct 23 13:31:34 2020
@author: Admin
"""
from keras.layers import Input
from keras.layers import Conv2D
from keras.layers import BatchNormalization
from keras.layers import Activation
from keras.layers import MaxPooling2D
from ... | 39.664975 | 106 | 0.579473 | 1,115 | 7,814 | 3.803587 | 0.127354 | 0.015091 | 0.044801 | 0.05942 | 0.546333 | 0.501061 | 0.501061 | 0.443056 | 0.42655 | 0.37892 | 0 | 0.061016 | 0.299463 | 7,814 | 196 | 107 | 39.867347 | 0.713738 | 0.10494 | 0 | 0.392593 | 0 | 0 | 0.061096 | 0.003893 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02963 | false | 0 | 0.118519 | 0 | 0.177778 | 0.014815 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfa0c9cdefacf9cd6963bf8494c977ebb9d0cbfc | 1,386 | py | Python | examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py | silentsokolov/dagster | 510bf07bf6906294d5a239d60079c88211002ebf | [
"Apache-2.0"
] | null | null | null | examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py | silentsokolov/dagster | 510bf07bf6906294d5a239d60079c88211002ebf | [
"Apache-2.0"
] | null | null | null | examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py | silentsokolov/dagster | 510bf07bf6906294d5a239d60079c88211002ebf | [
"Apache-2.0"
] | null | null | null | # isort: skip_file
from .partitioned_job import my_partitioned_config
from dagster import HourlyPartitionsDefinition
# start_marker
from dagster import build_schedule_from_partitioned_job, job
@job(config=my_partitioned_config)
def do_stuff_partitioned():
...
do_stuff_partitioned_schedule = build_schedule_fro... | 21 | 87 | 0.786436 | 174 | 1,386 | 5.833333 | 0.270115 | 0.082759 | 0.070936 | 0.082759 | 0.312315 | 0.281773 | 0.281773 | 0.183251 | 0.183251 | 0 | 0 | 0.010033 | 0.137085 | 1,386 | 65 | 88 | 21.323077 | 0.838629 | 0.138528 | 0 | 0.129032 | 0 | 0 | 0.052365 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.193548 | 0 | 0.290323 | 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 |
cfa4f9c3c47163b8357b553409d94c4c1cf0c0a0 | 1,019 | py | Python | src/contnext_viewer/graph.py | ContNeXt/web_app | 0ace1077ee07902cadca684e4e06b3e91cea437f | [
"MIT"
] | 3 | 2022-01-14T11:56:08.000Z | 2022-01-14T12:36:42.000Z | src/contnext_viewer/graph.py | ContNeXt/web_app | 0ace1077ee07902cadca684e4e06b3e91cea437f | [
"MIT"
] | null | null | null | src/contnext_viewer/graph.py | ContNeXt/web_app | 0ace1077ee07902cadca684e4e06b3e91cea437f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from contnext_viewer.models import Network, engine
from sqlalchemy.orm import sessionmaker
def create_json_file(id, node):
# Start database session
Session = sessionmaker(bind=engine)
sqlsession = Session()
try:
g = [each.data for each in sqlsession.query(Network).filter(Network.identif... | 37.740741 | 112 | 0.68106 | 154 | 1,019 | 4.435065 | 0.383117 | 0.046852 | 0.035139 | 0.074671 | 0.175695 | 0.175695 | 0.175695 | 0.175695 | 0.175695 | 0.175695 | 0 | 0.007973 | 0.138371 | 1,019 | 26 | 113 | 39.192308 | 0.769932 | 0.069676 | 0 | 0 | 0 | 0 | 0.076271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfa6145bbf7350ea98ed17dde42977836a1d405b | 8,302 | py | Python | crystals/affine.py | priyankism/crystals | 683bf35fbc95d0ded8cafdad0f2dede7adf5b072 | [
"BSD-3-Clause"
] | null | null | null | crystals/affine.py | priyankism/crystals | 683bf35fbc95d0ded8cafdad0f2dede7adf5b072 | [
"BSD-3-Clause"
] | null | null | null | crystals/affine.py | priyankism/crystals | 683bf35fbc95d0ded8cafdad0f2dede7adf5b072 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Linear algebra operations and helpers.
Inspired by Christoph Gohlke's transformation.py <http://www.lfd.uci.edu/~gohlke/>
This module is not directly exported by the `crystals` library. Use it with caution.
"""
import math
import numpy as np
# standard basis
e1, e2, e3 = np.eye(3)
def... | 26.694534 | 86 | 0.63298 | 1,121 | 8,302 | 4.64496 | 0.219447 | 0.020741 | 0.00941 | 0.016132 | 0.25773 | 0.201844 | 0.172268 | 0.172268 | 0.149222 | 0.122719 | 0 | 0.028747 | 0.237413 | 8,302 | 310 | 87 | 26.780645 | 0.793713 | 0.540713 | 0 | 0.134831 | 0 | 0 | 0.018753 | 0 | 0 | 0 | 0 | 0.003226 | 0 | 1 | 0.11236 | false | 0 | 0.022472 | 0 | 0.269663 | 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 |
cfa6ad3ae4dd2b7b0f171c22b61ad5f626a27dd6 | 675 | py | Python | app/common/models.py | chaos-soft/velvet | 71edabaa6e25308e76af82b76eb62c159d2b3368 | [
"MIT"
] | null | null | null | app/common/models.py | chaos-soft/velvet | 71edabaa6e25308e76af82b76eb62c159d2b3368 | [
"MIT"
] | null | null | null | app/common/models.py | chaos-soft/velvet | 71edabaa6e25308e76af82b76eb62c159d2b3368 | [
"MIT"
] | null | null | null | import json
from django.db import models
class JSONEncoder(json.JSONEncoder):
def __init__(self, *args, **kwargs):
kwargs['ensure_ascii'] = False
super().__init__(*args, **kwargs)
class Document(models.Model):
document = models.JSONField(encoder=JSONEncoder, default=dict)
images = None
... | 24.107143 | 66 | 0.567407 | 73 | 675 | 5.013699 | 0.520548 | 0.10929 | 0.060109 | 0.081967 | 0.114754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.317037 | 675 | 27 | 67 | 25 | 0.793926 | 0 | 0 | 0.2 | 0 | 0 | 0.017778 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.45 | 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 |
cfa6f7d12ac60700054deb918bc90c4c2c0ba1fc | 25,987 | py | Python | wsgi/iportalen_django/events/views.py | I-sektionen/i-portalen | 1713e5814d40c0da1bf3278d60a561e7d3df3550 | [
"MIT"
] | 4 | 2016-09-21T17:06:01.000Z | 2018-02-06T16:36:44.000Z | wsgi/iportalen_django/events/views.py | I-sektionen/i-portalen | 1713e5814d40c0da1bf3278d60a561e7d3df3550 | [
"MIT"
] | 149 | 2016-03-07T23:50:47.000Z | 2022-03-11T23:16:33.000Z | wsgi/iportalen_django/events/views.py | I-sektionen/i-portalen | 1713e5814d40c0da1bf3278d60a561e7d3df3550 | [
"MIT"
] | 1 | 2016-03-07T23:02:06.000Z | 2016-03-07T23:02:06.000Z | from django.core.mail import send_mail
from django.core.urlresolvers import reverse
from django.db.models import Q
from django.http.response import JsonResponse
from django.shortcuts import render, get_object_or_404, redirect
from django.forms import modelformset_factory
from django.contrib.auth.decorators import login... | 41.118671 | 248 | 0.588833 | 2,787 | 25,987 | 5.334051 | 0.147112 | 0.023678 | 0.01453 | 0.038679 | 0.571842 | 0.508408 | 0.433741 | 0.404749 | 0.380802 | 0.348581 | 0 | 0.005414 | 0.303459 | 25,987 | 631 | 249 | 41.183835 | 0.815867 | 0.014161 | 0 | 0.501859 | 0 | 0.007435 | 0.156235 | 0.033169 | 0 | 0 | 0 | 0.001585 | 0 | 1 | 0.057621 | false | 0.005576 | 0.046468 | 0.001859 | 0.197026 | 0.001859 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfa89d2739c826f494098053f56652fab2675cda | 411 | py | Python | loop_count_sum_average.py | bclead3/python_for_everyone | ccf72c335fe1e9b6419ccb34fc091c9520a69e5c | [
"MIT"
] | null | null | null | loop_count_sum_average.py | bclead3/python_for_everyone | ccf72c335fe1e9b6419ccb34fc091c9520a69e5c | [
"MIT"
] | null | null | null | loop_count_sum_average.py | bclead3/python_for_everyone | ccf72c335fe1e9b6419ccb34fc091c9520a69e5c | [
"MIT"
] | null | null | null | intNum = 0
fltTotal = 0.0
while True:
strVal = input('Enter a number: ')
if strVal == 'done':
break
try:
fltVal = float(strVal)
intNum += 1
fltTotal += fltVal
except ValueError:
print('Invalid Input value, continuing...')
continue
print("The number of ... | 21.631579 | 111 | 0.586375 | 47 | 411 | 5.12766 | 0.659574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013605 | 0.284672 | 411 | 18 | 112 | 22.833333 | 0.806122 | 0 | 0 | 0 | 0 | 0 | 0.272506 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
cfaad53b73796070da96bc425bbb924627d94d3e | 66,608 | py | Python | direfl/api/invert.py | TUM-E21-ThinFilms/direfl | ef60610b1653ab1a93840ec481a0eed3242fcfcc | [
"MIT"
] | null | null | null | direfl/api/invert.py | TUM-E21-ThinFilms/direfl | ef60610b1653ab1a93840ec481a0eed3242fcfcc | [
"MIT"
] | null | null | null | direfl/api/invert.py | TUM-E21-ThinFilms/direfl | ef60610b1653ab1a93840ec481a0eed3242fcfcc | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This program is public domain
#
# Phase inversion author: Norm Berk
# Translated from Mathematica by Paul Kienzle
#
# Phase reconstruction author: Charles Majkrzak
# Converted from Fortran by Paul Kienzle
#
# Reflectivity calculation author: Paul Kienzle
#
# The National Institute of Standards ... | 38.952047 | 90 | 0.563191 | 8,549 | 66,608 | 4.359574 | 0.152883 | 0.006171 | 0.00601 | 0.003864 | 0.179608 | 0.136786 | 0.111913 | 0.089536 | 0.071183 | 0.06147 | 0 | 0.022703 | 0.31292 | 66,608 | 1,709 | 91 | 38.974839 | 0.791675 | 0.498349 | 0 | 0.181943 | 0 | 0 | 0.083922 | 0.001578 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072503 | false | 0 | 0.045144 | 0.002736 | 0.191518 | 0.00684 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfab26c2310626960a9eb1bcfe2663950cbe8982 | 1,429 | py | Python | JupiterMag/Tools/TestTrace.py | mattkjames7/JupiterMag | 0c2bc82e9efadc4b026b82f4aeea30b068ba7fbd | [
"MIT"
] | null | null | null | JupiterMag/Tools/TestTrace.py | mattkjames7/JupiterMag | 0c2bc82e9efadc4b026b82f4aeea30b068ba7fbd | [
"MIT"
] | null | null | null | JupiterMag/Tools/TestTrace.py | mattkjames7/JupiterMag | 0c2bc82e9efadc4b026b82f4aeea30b068ba7fbd | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def TestTrace(IntModel='jrm33',ExtModel='Con2020',fig=None,maps=[1,1,0,0],color='green'):
from ..TraceField import TraceField
from ..Con2020 import Config
#set the starting coords
n = 7
x = np.linspace(2.0,30.0,n)
x = np.append(-x[::-1],x)
y = np.zeros(n*2)
... | 21.651515 | 89 | 0.6669 | 237 | 1,429 | 4.004219 | 0.35443 | 0.00843 | 0.066386 | 0.041096 | 0.314015 | 0.314015 | 0.240253 | 0.206533 | 0.094837 | 0 | 0 | 0.059117 | 0.159552 | 1,429 | 65 | 90 | 21.984615 | 0.731057 | 0.085374 | 0 | 0.285714 | 0 | 0 | 0.071483 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.238095 | 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 |
cfac305f0f7ce458aca125a8380e57d97d04bc9b | 81,938 | py | Python | openstuder.py | OpenStuder/openstuder-client-python | ade667116afcd084faed93febfa4e267972f5250 | [
"MIT"
] | null | null | null | openstuder.py | OpenStuder/openstuder-client-python | ade667116afcd084faed93febfa4e267972f5250 | [
"MIT"
] | null | null | null | openstuder.py | OpenStuder/openstuder-client-python | ade667116afcd084faed93febfa4e267972f5250 | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import Callable, Optional, Tuple, List
from enum import Enum, Flag, auto
from threading import Thread
import datetime
import json
import websocket
class SIStatus(Enum):
"""
Status of operations on the OpenStuder gateway.
- **SIStatus.SUCCESS**: Operation was... | 48.541469 | 180 | 0.672435 | 9,824 | 81,938 | 5.470684 | 0.051608 | 0.011722 | 0.010029 | 0.007554 | 0.744176 | 0.687295 | 0.646975 | 0.602542 | 0.573013 | 0.543279 | 0 | 0.002771 | 0.251251 | 81,938 | 1,687 | 181 | 48.570243 | 0.873238 | 0.348752 | 0 | 0.398417 | 0 | 0 | 0.071592 | 0.011891 | 0 | 0 | 0 | 0.000593 | 0 | 1 | 0.138522 | false | 0.036939 | 0.009235 | 0.01715 | 0.295515 | 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 |
cfb605ca953b0b2a145c9dfb2721c7a45cd2d149 | 2,485 | py | Python | Code/Aurora-to-Redshift-SnapshotExport-ELT/python/rds_snap_exp_check_snapshot.py | aws-samples/aurora-and-database-migration-labs | 5f7f4ab7985dda04c2a6cdc8a04fb34491f6a0aa | [
"MIT-0"
] | 23 | 2019-02-18T17:20:17.000Z | 2022-03-31T18:12:49.000Z | Code/Aurora-to-Redshift-SnapshotExport-ELT/python/rds_snap_exp_check_snapshot.py | CloudGuru79/aurora-and-database-migration-labs | e70b6a41747d6117d763a708df035e73db88e107 | [
"MIT-0"
] | 1 | 2021-05-25T14:07:51.000Z | 2021-08-04T16:06:44.000Z | Code/Aurora-to-Redshift-SnapshotExport-ELT/python/rds_snap_exp_check_snapshot.py | CloudGuru79/aurora-and-database-migration-labs | e70b6a41747d6117d763a708df035e73db88e107 | [
"MIT-0"
] | 11 | 2019-03-29T13:11:29.000Z | 2022-03-26T20:47:38.000Z | import boto3
from datetime import datetime, timezone
class SnapshotException(Exception):
pass
def lambda_handler(event, context):
# Input from Cloudwatch event rule
aurora_cluster_id=event["aurora_cluster_id"]
s3_bucket_for_rds_snap_exp=event["s3_bucket_for_rds_snap_exp"]
iam_role_for_r... | 31.455696 | 102 | 0.660362 | 274 | 2,485 | 5.660584 | 0.357664 | 0.045132 | 0.045132 | 0.058672 | 0.133462 | 0.092843 | 0.027079 | 0 | 0 | 0 | 0 | 0.004857 | 0.254326 | 2,485 | 79 | 103 | 31.455696 | 0.832164 | 0.070825 | 0 | 0 | 0 | 0 | 0.196095 | 0.045987 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020833 | false | 0.020833 | 0.041667 | 0 | 0.104167 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfb76a0451724cb5b9f942bb838e8d1e229a0d3d | 4,932 | py | Python | research/nlp/lstm_crf/eval.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/lstm_crf/eval.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/lstm_crf/eval.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 39.774194 | 107 | 0.651663 | 659 | 4,932 | 4.605463 | 0.326252 | 0.026689 | 0.024712 | 0.023064 | 0.068204 | 0.038221 | 0.018451 | 0.018451 | 0 | 0 | 0 | 0.014803 | 0.232968 | 4,932 | 123 | 108 | 40.097561 | 0.78747 | 0.182482 | 0 | 0 | 0 | 0 | 0.032725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.119048 | 0 | 0.142857 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfb7b75e80d6f16aa38ab2c5bb8e48063d63e82b | 2,682 | py | Python | prepare_training_data.py | vijayaganesh/Chrome-DinoGame-AI | 1c28114c3b0ac40dcb3812ba202b5a343de7d93a | [
"MIT"
] | null | null | null | prepare_training_data.py | vijayaganesh/Chrome-DinoGame-AI | 1c28114c3b0ac40dcb3812ba202b5a343de7d93a | [
"MIT"
] | null | null | null | prepare_training_data.py | vijayaganesh/Chrome-DinoGame-AI | 1c28114c3b0ac40dcb3812ba202b5a343de7d93a | [
"MIT"
] | null | null | null |
import cv2
import numpy as np
import tensorflow as tf
import time
import statistics
import h5py
vid_file = '/home/vijayaganesh/Videos/Google Chrome Dinosaur Game [Bird Update] BEST SCORE OF THE WORLD (No hack).mp4'
data_file = 'training_data.txt'
roi_x = 320
roi_y = 120
roi_w = 459
roi_h = 112
font = cv2.FONT_HERSHEY... | 25.788462 | 118 | 0.590604 | 449 | 2,682 | 3.36971 | 0.336303 | 0.019828 | 0.039656 | 0.026438 | 0.124256 | 0.124256 | 0.072703 | 0.072703 | 0.072703 | 0.046266 | 0 | 0.082707 | 0.256152 | 2,682 | 103 | 119 | 26.038835 | 0.675689 | 0.052573 | 0 | 0.083333 | 0 | 0.011905 | 0.059595 | 0.012714 | 0 | 0 | 0.001589 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0.011905 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfbe82223a8d3479a6dfc0c1cbd4a4db1f89fae3 | 941 | py | Python | crfill/trainers/__init__.py | node21challenge/rank2_node21_generation | 6c1708468b4ba48383c55bc8473ebcc5a83b8995 | [
"Apache-2.0"
] | null | null | null | crfill/trainers/__init__.py | node21challenge/rank2_node21_generation | 6c1708468b4ba48383c55bc8473ebcc5a83b8995 | [
"Apache-2.0"
] | null | null | null | crfill/trainers/__init__.py | node21challenge/rank2_node21_generation | 6c1708468b4ba48383c55bc8473ebcc5a83b8995 | [
"Apache-2.0"
] | 1 | 2022-02-11T12:42:21.000Z | 2022-02-11T12:42:21.000Z | import importlib
def find_trainer_using_name(model_name):
model_filename = "trainers." + model_name + "_trainer"
modellib = importlib.import_module(model_filename)
# In the file, the class called ModelNameModel() will
# be instantiated. It has to be a subclass of torch.nn.Module,
# and it is case-... | 32.448276 | 156 | 0.682253 | 129 | 941 | 4.744186 | 0.465116 | 0.088235 | 0.073529 | 0.065359 | 0.084967 | 0.084967 | 0.084967 | 0 | 0 | 0 | 0 | 0.001353 | 0.214665 | 941 | 28 | 157 | 33.607143 | 0.826793 | 0.148778 | 0 | 0 | 0 | 0.055556 | 0.185696 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.333333 | 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 |
cfbf0b7ed91177f382813b392b45d5b821b94144 | 3,790 | py | Python | setup.py | zfit/zfit-flavour | 291be3d3d80a8e20907a5de88239098d0ed7e96d | [
"BSD-3-Clause"
] | null | null | null | setup.py | zfit/zfit-flavour | 291be3d3d80a8e20907a5de88239098d0ed7e96d | [
"BSD-3-Clause"
] | null | null | null | setup.py | zfit/zfit-flavour | 291be3d3d80a8e20907a5de88239098d0ed7e96d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import io
import re
import os
import glob
from setuptools import find_packages
from setuptools import setup
def read(*names, **kwargs):
with io.open(
os.path.join(os.path.dirname(__file__), *names),
encoding=kwargs.get('encoding', 'utf8')
) as f... | 38.673469 | 104 | 0.641953 | 435 | 3,790 | 5.462069 | 0.43908 | 0.09596 | 0.126263 | 0.054714 | 0.124579 | 0.077441 | 0.02862 | 0 | 0 | 0 | 0 | 0.009967 | 0.205805 | 3,790 | 97 | 105 | 39.072165 | 0.779402 | 0.11847 | 0 | 0.025641 | 0 | 0 | 0.408163 | 0.031212 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012821 | false | 0 | 0.076923 | 0 | 0.102564 | 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 |
cfbfa275b0b7f6610c00f6739476900452fbdfa6 | 1,858 | py | Python | engine/utils/scheduler.py | rmarticedeno/Agent_Platform | 12891e96bae4670e50f12e56a2dee258b7b584b4 | [
"MIT"
] | 2 | 2019-12-07T00:20:51.000Z | 2019-12-23T15:54:27.000Z | engine/utils/scheduler.py | rmarticedeno/Agent_Platform | 12891e96bae4670e50f12e56a2dee258b7b584b4 | [
"MIT"
] | null | null | null | engine/utils/scheduler.py | rmarticedeno/Agent_Platform | 12891e96bae4670e50f12e56a2dee258b7b584b4 | [
"MIT"
] | null | null | null | from collections import deque
class TaskScheduler:
'''
Represents an ordered Scheduler.
'''
def __init__(self):
self._task_deque = deque()
def new_task(self, task):
'''
Admit a newly started task to the scheduler\n
(must be a generator `yield`)
... | 19.557895 | 57 | 0.520452 | 236 | 1,858 | 3.944915 | 0.34322 | 0.103115 | 0.069817 | 0.040816 | 0.197637 | 0.038668 | 0 | 0 | 0 | 0 | 0 | 0.039543 | 0.387513 | 1,858 | 94 | 58 | 19.765957 | 0.778559 | 0.353068 | 0 | 0.125 | 0 | 0 | 0.032498 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15625 | false | 0.03125 | 0.03125 | 0 | 0.21875 | 0.09375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfc02d4a4657dd5adc5e53454218d4b69d722cf8 | 2,138 | py | Python | leet_code/editorial/numbers_roman.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | leet_code/editorial/numbers_roman.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | leet_code/editorial/numbers_roman.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | class Solution:
def intToRoman(self, num: int) -> str:
a = {
'I': 1,
'IV': 4,
'V': 5,
'IX': 9,
'X': 10,
'XL': 40,
'L': 50,
'XC': 90,
'C': 100,
'CD': 400,
'D': 500,
... | 25.759036 | 116 | 0.384471 | 233 | 2,138 | 3.454936 | 0.300429 | 0.080745 | 0.089441 | 0.074534 | 0.213665 | 0.213665 | 0.11677 | 0.11677 | 0.11677 | 0.11677 | 0 | 0.107174 | 0.45884 | 2,138 | 82 | 117 | 26.073171 | 0.588591 | 0 | 0 | 0.072464 | 0 | 0 | 0.023854 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0 | 0 | 0.130435 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfc2420a8b0d8a4ab0326148009595e910540813 | 2,310 | py | Python | test_incoming.py | james-721/chat_limpet | 88a394d4e6e3f34b9af4dd29d43999f28bd91224 | [
"MIT"
] | null | null | null | test_incoming.py | james-721/chat_limpet | 88a394d4e6e3f34b9af4dd29d43999f28bd91224 | [
"MIT"
] | null | null | null | test_incoming.py | james-721/chat_limpet | 88a394d4e6e3f34b9af4dd29d43999f28bd91224 | [
"MIT"
] | null | null | null | import zlib
import zmq
import simplejson
import sys
import time
import pprint
import math
pp = pprint.PrettyPrinter(indent=4)
"""
" Configuration
"""
__relayEDDN = 'tcp://eddn.edcd.io:9500'
__timeoutEDDN = 600000
"""
" Start
"""
def distance_finder(input_coords):
colonia_coords = [-953... | 32.535211 | 172 | 0.544156 | 226 | 2,310 | 5.265487 | 0.438053 | 0.064706 | 0.020168 | 0.030252 | 0.10084 | 0.10084 | 0 | 0 | 0 | 0 | 0 | 0.048481 | 0.330303 | 2,310 | 71 | 173 | 32.535211 | 0.72075 | 0.027273 | 0 | 0.16 | 0 | 0 | 0.078983 | 0.01044 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.14 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfc3b184faded8ad9ad737db946c5f8bf1633768 | 8,599 | py | Python | bayesian_optimization/algorithms/dt.py | ukritw/autonialm | a5264753dae19b9b5257ca75433a0f55dce0f173 | [
"Apache-2.0"
] | 2 | 2022-02-22T13:16:17.000Z | 2022-03-24T17:37:54.000Z | bayesian_optimization/algorithms/dt.py | ukritw/autonialm | a5264753dae19b9b5257ca75433a0f55dce0f173 | [
"Apache-2.0"
] | null | null | null | bayesian_optimization/algorithms/dt.py | ukritw/autonialm | a5264753dae19b9b5257ca75433a0f55dce0f173 | [
"Apache-2.0"
] | 2 | 2019-03-24T20:58:53.000Z | 2022-03-06T06:51:50.000Z | from __future__ import print_function, division
import warnings; warnings.filterwarnings("ignore")
from nilmtk import DataSet
import pandas as pd
import numpy as np
import datetime
import time
import math
import glob
from sklearn.tree import DecisionTreeRegressor
# Bring packages onto the path
import sys, os
sys.pa... | 43.211055 | 230 | 0.695662 | 1,219 | 8,599 | 4.62018 | 0.162428 | 0.051136 | 0.02983 | 0.046875 | 0.481889 | 0.415661 | 0.405362 | 0.382635 | 0.350497 | 0.350497 | 0 | 0.020148 | 0.18037 | 8,599 | 198 | 231 | 43.429293 | 0.778944 | 0.437842 | 0 | 0.134831 | 0 | 0 | 0.015388 | 0.00527 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011236 | false | 0 | 0.146067 | 0 | 0.168539 | 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 |
cfc4dc6ecc3462bf8a0af5bf57b6f97a39afd525 | 856 | py | Python | Interpolation/New Tab with Special Layers.py | juandelperal/Glyphs-Scripts | 1f3cb71683ec044dff67a46cd895773e8271effa | [
"Apache-2.0"
] | null | null | null | Interpolation/New Tab with Special Layers.py | juandelperal/Glyphs-Scripts | 1f3cb71683ec044dff67a46cd895773e8271effa | [
"Apache-2.0"
] | null | null | null | Interpolation/New Tab with Special Layers.py | juandelperal/Glyphs-Scripts | 1f3cb71683ec044dff67a46cd895773e8271effa | [
"Apache-2.0"
] | null | null | null | #MenuTitle: New Tab with Special Layers
# -*- coding: utf-8 -*-
from __future__ import division, print_function, unicode_literals
from builtins import str
__doc__="""
Opens a new Edit tab containing all special (bracket & brace) layers.
"""
Glyphs.clearLog() # clears log of Macro window
thisFont = Glyphs.font # frontm... | 28.533333 | 70 | 0.748832 | 112 | 856 | 5.633929 | 0.589286 | 0.019017 | 0.031696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001404 | 0.168224 | 856 | 29 | 71 | 29.517241 | 0.884831 | 0.28271 | 0 | 0 | 0 | 0 | 0.229752 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.095238 | 0 | 0.095238 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cfc4e76ff268f1b04652ad27abd0acee3bdfb297 | 3,244 | py | Python | tests/wallet/nft_wallet/test_ownership_outer_puzzle.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | tests/wallet/nft_wallet/test_ownership_outer_puzzle.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | tests/wallet/nft_wallet/test_ownership_outer_puzzle.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | from typing import Optional
from clvm_tools.binutils import assemble
from chinilla.types.blockchain_format.program import Program
from chinilla.types.blockchain_format.sized_bytes import bytes32
from chinilla.util.ints import uint16
from chinilla.wallet.nft_wallet.ownership_outer_puzzle import puzzle_for_ownership_la... | 42.684211 | 119 | 0.750308 | 389 | 3,244 | 5.910026 | 0.197943 | 0.130492 | 0.073075 | 0.058721 | 0.328839 | 0.176599 | 0.074815 | 0.043497 | 0 | 0 | 0 | 0.017395 | 0.167078 | 3,244 | 75 | 120 | 43.253333 | 0.833457 | 0.034217 | 0 | 0 | 0 | 0 | 0.038611 | 0 | 0 | 0 | 0 | 0 | 0.306452 | 1 | 0.016129 | false | 0 | 0.145161 | 0 | 0.16129 | 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 |