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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b0f8d8e1a99343fc9166ec575752cd7be6e45cee | 827 | py | Python | Pytorch/5-CNN/nn_Sequential.py | pengchenyu111/PaperCodeReplication | 7b8681654e25b7d707f4b4d7ebcfb85ffc0fd52a | [
"Apache-2.0"
] | null | null | null | Pytorch/5-CNN/nn_Sequential.py | pengchenyu111/PaperCodeReplication | 7b8681654e25b7d707f4b4d7ebcfb85ffc0fd52a | [
"Apache-2.0"
] | null | null | null | Pytorch/5-CNN/nn_Sequential.py | pengchenyu111/PaperCodeReplication | 7b8681654e25b7d707f4b4d7ebcfb85ffc0fd52a | [
"Apache-2.0"
] | null | null | null | import torch
from torch import nn
from torch.nn import Conv2d, MaxPool2d, Flatten, Linear, Sequential
from torch.utils.tensorboard import SummaryWriter
class Tudui(nn.Module):
def __init__(self):
super(Tudui, self).__init__()
self.model1 = Sequential(
Conv2d(3, 32, 5, padding=2),
... | 22.972222 | 67 | 0.584039 | 103 | 827 | 4.601942 | 0.398058 | 0.056962 | 0.056962 | 0.113924 | 0.162447 | 0.122363 | 0.122363 | 0.122363 | 0 | 0 | 0 | 0.079796 | 0.287787 | 827 | 35 | 68 | 23.628571 | 0.724958 | 0 | 0 | 0.103448 | 0 | 0 | 0.007255 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.137931 | 0 | 0.275862 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b0fb6f704b8d712fad268b480c2d25cc8bc409f5 | 1,232 | py | Python | src/brewlog/utils/query.py | zgoda/brewlog | 13a930b328f81d01a2be9aca07d3b14703b80faa | [
"BSD-3-Clause"
] | 3 | 2019-03-11T04:30:06.000Z | 2020-01-26T03:21:52.000Z | src/brewlog/utils/query.py | zgoda/brewlog | 13a930b328f81d01a2be9aca07d3b14703b80faa | [
"BSD-3-Clause"
] | 23 | 2019-02-06T20:37:37.000Z | 2020-06-01T07:08:35.000Z | src/brewlog/utils/query.py | zgoda/brewlog | 13a930b328f81d01a2be9aca07d3b14703b80faa | [
"BSD-3-Clause"
] | null | null | null | from typing import Optional
from flask import url_for
from flask_sqlalchemy import BaseQuery
from ..ext import db
from ..models import Brew, BrewerProfile
def public_or_owner(query: BaseQuery, user: Optional[BrewerProfile]) -> BaseQuery:
"""Filter Brew query of all non-accessible objects.
:param query: que... | 29.333333 | 84 | 0.649351 | 161 | 1,232 | 4.795031 | 0.372671 | 0.041451 | 0.051813 | 0.072539 | 0.202073 | 0.202073 | 0.11658 | 0.11658 | 0.11658 | 0.11658 | 0 | 0.002151 | 0.24513 | 1,232 | 41 | 85 | 30.04878 | 0.827957 | 0.184253 | 0 | 0.076923 | 0 | 0 | 0.019588 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.192308 | 0 | 0.346154 | 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 |
b0feb9c47583568b91cc55ff1a17eb9a915a0f41 | 1,626 | py | Python | framework/repository/info.py | jarret/bitcoin_helpers | 4b6155ea3b004ad58a717b36cd58138d058281b1 | [
"MIT"
] | null | null | null | framework/repository/info.py | jarret/bitcoin_helpers | 4b6155ea3b004ad58a717b36cd58138d058281b1 | [
"MIT"
] | null | null | null | framework/repository/info.py | jarret/bitcoin_helpers | 4b6155ea3b004ad58a717b36cd58138d058281b1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
import json
import os
import sys
from framework.path.path import Path
from framework.file.io import read_file... | 36.954545 | 79 | 0.674662 | 229 | 1,626 | 4.615721 | 0.471616 | 0.05298 | 0.060549 | 0.049196 | 0.058657 | 0.058657 | 0.058657 | 0.058657 | 0 | 0 | 0 | 0.004032 | 0.237392 | 1,626 | 43 | 80 | 37.813953 | 0.848387 | 0.305658 | 0 | 0.153846 | 0 | 0 | 0.108794 | 0.062557 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.384615 | 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 |
b0ffaa7976be25e795d5abe04edf6fd2fd0631eb | 1,540 | py | Python | cookie_manager/security_decorator.py | ScholarPack/cookie-manager | 342eaf19d4ebbe83319306e4a3afcc3988f61d3d | [
"MIT"
] | 10 | 2020-02-26T14:13:05.000Z | 2021-07-30T02:16:47.000Z | cookie_manager/security_decorator.py | ScholarPack/cookie-manager | 342eaf19d4ebbe83319306e4a3afcc3988f61d3d | [
"MIT"
] | 13 | 2020-02-26T10:42:09.000Z | 2021-09-30T13:26:23.000Z | cookie_manager/security_decorator.py | ScholarPack/cookie-manager | 342eaf19d4ebbe83319306e4a3afcc3988f61d3d | [
"MIT"
] | 3 | 2020-03-29T00:49:23.000Z | 2020-07-24T16:26:20.000Z | from functools import wraps
from typing import List, Any
from cookie_manager import CookieManager
class CookieSecurityDecorator:
_cookie_manager = None
_request = None
_cookie_name = None
def init_app(self, request: Any, cookie_manager: CookieManager, cookie_name: str):
"""
Initialise... | 34.222222 | 96 | 0.619481 | 182 | 1,540 | 5.049451 | 0.412088 | 0.127312 | 0.055495 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000946 | 0.313636 | 1,540 | 44 | 97 | 35 | 0.868496 | 0.274026 | 0 | 0 | 0 | 0 | 0.00582 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.12 | 0 | 0.56 | 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 |
7c0015d18f7709ad1f58810e4e4fbcf0c3ae1358 | 6,394 | py | Python | mutagen/aiff.py | lucienimmink/scanner.py | cecaa0a570ba8058321dea1c8efa9f77868effb3 | [
"MIT"
] | 2 | 2022-03-14T15:34:14.000Z | 2022-03-23T17:05:42.000Z | mutagen/aiff.py | lucienimmink/scanner.py | cecaa0a570ba8058321dea1c8efa9f77868effb3 | [
"MIT"
] | null | null | null | mutagen/aiff.py | lucienimmink/scanner.py | cecaa0a570ba8058321dea1c8efa9f77868effb3 | [
"MIT"
] | 2 | 2020-09-17T08:27:12.000Z | 2021-08-23T11:13:52.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2014 Evan Purkhiser
# 2014 Ben Ockmore
# 2019-2020 Philipp Wolfer
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either ... | 25.99187 | 78 | 0.610416 | 775 | 6,394 | 4.900645 | 0.304516 | 0.034229 | 0.022117 | 0.007899 | 0.095313 | 0.065824 | 0.065824 | 0.065824 | 0.046867 | 0.02317 | 0 | 0.023434 | 0.285893 | 6,394 | 245 | 79 | 26.097959 | 0.808366 | 0.22568 | 0 | 0.148936 | 0 | 0 | 0.062591 | 0 | 0 | 0 | 0.004783 | 0 | 0.007092 | 1 | 0.120567 | false | 0.014184 | 0.042553 | 0.028369 | 0.333333 | 0.007092 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c037d89e3a9bf24f7302ca98b6d3dd08cac776e | 11,062 | py | Python | ML/meanvel.py | lewisfish/Triton-dolphin | bc7256485e1bd943e0b9b3017c214c82e26905f3 | [
"MIT"
] | null | null | null | ML/meanvel.py | lewisfish/Triton-dolphin | bc7256485e1bd943e0b9b3017c214c82e26905f3 | [
"MIT"
] | null | null | null | ML/meanvel.py | lewisfish/Triton-dolphin | bc7256485e1bd943e0b9b3017c214c82e26905f3 | [
"MIT"
] | null | null | null | from concurrent import futures
from itertools import repeat
import pathlib
from pathlib import Path
import pickle
import time
from typing import List, Tuple, Union
import cv2 as cv2
import hdbscan
import numpy as np
import pims
from sklearn.cluster import KMeans
from sklearn.preprocessing import StandardScaler
from tq... | 28.29156 | 176 | 0.626831 | 1,396 | 11,062 | 4.919771 | 0.235673 | 0.020384 | 0.024461 | 0.015725 | 0.365609 | 0.32484 | 0.289458 | 0.238497 | 0.231363 | 0.213891 | 0 | 0.023091 | 0.248328 | 11,062 | 390 | 177 | 28.364103 | 0.802886 | 0.334207 | 0 | 0.148387 | 0 | 0 | 0.02228 | 0.003058 | 0 | 0 | 0 | 0 | 0.012903 | 1 | 0.070968 | false | 0 | 0.129032 | 0 | 0.251613 | 0.006452 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c094dc9f6789987096d646f2920ee372eb6f1b8 | 3,409 | py | Python | zero_paper/models.py | PLsergent/zero-paper | 4663e0e9976447419b5da5cdd32e57dccfc32125 | [
"MIT"
] | null | null | null | zero_paper/models.py | PLsergent/zero-paper | 4663e0e9976447419b5da5cdd32e57dccfc32125 | [
"MIT"
] | null | null | null | zero_paper/models.py | PLsergent/zero-paper | 4663e0e9976447419b5da5cdd32e57dccfc32125 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
from django.dispatch import receiver
import os
import shutil
class Folder(models.Model):
name = models.CharField(max_length=128)
parent_folder = models.ForeignKey("self", null=True, blank=True, on_delete... | 29.903509 | 94 | 0.661484 | 423 | 3,409 | 5.184397 | 0.250591 | 0.032832 | 0.03648 | 0.043776 | 0.400821 | 0.376197 | 0.316461 | 0.273142 | 0.176927 | 0.176927 | 0 | 0.005693 | 0.227046 | 3,409 | 113 | 95 | 30.168142 | 0.826565 | 0.086536 | 0 | 0.265823 | 0 | 0 | 0.027294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101266 | false | 0 | 0.075949 | 0.037975 | 0.481013 | 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 |
9fd494efb313bbd651da7b57c11d4c1658a52fc3 | 1,610 | py | Python | example/torch_classifier.py | KevinEloff/deep-chain-apps | 0952845e93f0c0592f04275fe99b122ff831901f | [
"Apache-1.1"
] | null | null | null | example/torch_classifier.py | KevinEloff/deep-chain-apps | 0952845e93f0c0592f04275fe99b122ff831901f | [
"Apache-1.1"
] | null | null | null | example/torch_classifier.py | KevinEloff/deep-chain-apps | 0952845e93f0c0592f04275fe99b122ff831901f | [
"Apache-1.1"
] | null | null | null | """
Module that provide a classifier template to train a model on embeddings.
With use the pathogen vs human dataset as an example. The embedding of 100k proteins come
from the protBert model.
The model is built with pytorch_ligthning, a wrapper on top of
pytorch (similar to keras with tensorflow)
Feel feel to build ... | 36.590909 | 90 | 0.775776 | 248 | 1,610 | 4.854839 | 0.467742 | 0.032392 | 0.047342 | 0.048173 | 0.049834 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013091 | 0.145963 | 1,610 | 43 | 91 | 37.44186 | 0.862545 | 0.51118 | 0 | 0 | 0 | 0 | 0.012987 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 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 |
9fd54ac2fec1187dcd8824c5cc8a001bad343192 | 5,589 | py | Python | towavfile.py | streamsoftdev/audiomods | 0e3d27fcd9af0a0f6a9de512112425e093f82dda | [
"Apache-2.0"
] | null | null | null | towavfile.py | streamsoftdev/audiomods | 0e3d27fcd9af0a0f6a9de512112425e093f82dda | [
"Apache-2.0"
] | null | null | null | towavfile.py | streamsoftdev/audiomods | 0e3d27fcd9af0a0f6a9de512112425e093f82dda | [
"Apache-2.0"
] | null | null | null | #Copyright 2022 Nathan Harwood
#
#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... | 33.668675 | 113 | 0.580247 | 687 | 5,589 | 4.524017 | 0.294032 | 0.028958 | 0.048263 | 0.015444 | 0.136744 | 0.080759 | 0.067568 | 0.046976 | 0.025097 | 0 | 0 | 0.013813 | 0.313473 | 5,589 | 166 | 114 | 33.668675 | 0.796195 | 0.096976 | 0 | 0.167939 | 0 | 0 | 0.086594 | 0.004171 | 0 | 0 | 0.001192 | 0 | 0 | 1 | 0.083969 | false | 0 | 0.030534 | 0.007634 | 0.198473 | 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 |
9fd5c810c4ce10644e6de28ce2355f1bd5e61c6a | 6,857 | py | Python | test/blast/sample_data.py | UdoGi/dark-matter | 3d49e89fa5e81f83144119f6216c5774176d203b | [
"MIT"
] | 10 | 2016-03-09T09:43:14.000Z | 2021-04-03T21:46:12.000Z | test/blast/sample_data.py | terrycojones/dark-matter | 67d16f870db6b4239e17e542bc6e3f072dc29c75 | [
"MIT"
] | 332 | 2015-01-07T12:37:30.000Z | 2022-01-20T15:48:11.000Z | test/blast/sample_data.py | terrycojones/dark-matter | 67d16f870db6b4239e17e542bc6e3f072dc29c75 | [
"MIT"
] | 4 | 2016-03-08T14:56:39.000Z | 2021-01-27T08:11:27.000Z | # Sample BLAST parameters.
PARAMS = {
'application': 'BLASTN',
'blast_cutoff': [
None,
None
],
'database': 'manx-shearwater',
'database_length': 17465129,
'database_letters': None,
'database_name': [],
'database_sequences': 70016,
'date': '',
'dropoff_1st_pass': [... | 27.538153 | 70 | 0.392737 | 518 | 6,857 | 5.019305 | 0.279923 | 0.023077 | 0.065769 | 0.114231 | 0.577308 | 0.529231 | 0.463077 | 0.440769 | 0.440769 | 0.440769 | 0 | 0.105351 | 0.473968 | 6,857 | 248 | 71 | 27.649194 | 0.61547 | 0.009625 | 0 | 0.460581 | 0 | 0 | 0.340454 | 0.107395 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.004149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9fd91ec0b1f55cd338e90af15b11bcbae0dc4915 | 1,471 | py | Python | neurgoo/misc/plot_utils.py | NISH1001/neurgoo | 83b2f4928d362b2b3c2f80ff6afe4c4768d6cc74 | [
"MIT"
] | 2 | 2022-03-02T11:59:19.000Z | 2022-03-18T17:59:28.000Z | neurgoo/misc/plot_utils.py | NISH1001/neurgoo | 83b2f4928d362b2b3c2f80ff6afe4c4768d6cc74 | [
"MIT"
] | 1 | 2022-03-03T14:07:19.000Z | 2022-03-03T14:07:19.000Z | neurgoo/misc/plot_utils.py | NISH1001/neurgoo | 83b2f4928d362b2b3c2f80ff6afe4c4768d6cc74 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from typing import Dict, List
try:
import matplotlib.pyplot as plt
MATPLOTLIB = True
except:
MATPLOTLIB = False
from loguru import logger
from .eval import EvalData
def plot_losses(losses):
if not MATPLOTLIB:
logger.error("Maplotlib not installed. Halting the plot p... | 23.349206 | 77 | 0.650578 | 212 | 1,471 | 4.410377 | 0.367925 | 0.051337 | 0.051337 | 0.083422 | 0.387166 | 0.346524 | 0.346524 | 0.233155 | 0.233155 | 0.158289 | 0 | 0.003493 | 0.221618 | 1,471 | 62 | 78 | 23.725806 | 0.8131 | 0.074099 | 0 | 0.153846 | 0 | 0 | 0.124907 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0.025641 | 0.102564 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9fdabb9fe3ddfe1efb0455a952de16d9ff31f05a | 3,277 | py | Python | LPSelectiveSearch.py | ksdsouza/license-plate-detector | 900a032768d9c623b7ecb1ec7abd07651fda2b16 | [
"MIT"
] | null | null | null | LPSelectiveSearch.py | ksdsouza/license-plate-detector | 900a032768d9c623b7ecb1ec7abd07651fda2b16 | [
"MIT"
] | null | null | null | LPSelectiveSearch.py | ksdsouza/license-plate-detector | 900a032768d9c623b7ecb1ec7abd07651fda2b16 | [
"MIT"
] | null | null | null | import itertools
import os
import sys
import cv2
import numpy as np
from SelectiveSearch import SelectiveSearch
images_path = "Images"
annotations = "Annotations"
cv2.setUseOptimized(True)
selective_search = SelectiveSearch()
train_images = []
train_labels = []
SS_IMG_SIZE = (224, 224)
# chunk = int(sys.argv[1])
... | 30.06422 | 97 | 0.523039 | 414 | 3,277 | 3.966184 | 0.275362 | 0.033496 | 0.016443 | 0.009744 | 0.17296 | 0.154689 | 0.154689 | 0.154689 | 0.154689 | 0.154689 | 0 | 0.051494 | 0.336283 | 3,277 | 108 | 98 | 30.342593 | 0.703448 | 0.578273 | 0 | 0 | 0 | 0 | 0.044428 | 0 | 0 | 0 | 0 | 0 | 0.051282 | 1 | 0.051282 | false | 0 | 0.153846 | 0 | 0.282051 | 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 |
9fde09067036bce742f20360db8b7e67c431adac | 3,636 | py | Python | core/tests/test_office.py | cjmash/art-backend | fb1dfd69cca9cda1d8714bd7066c3920d1a97312 | [
"MIT"
] | null | null | null | core/tests/test_office.py | cjmash/art-backend | fb1dfd69cca9cda1d8714bd7066c3920d1a97312 | [
"MIT"
] | null | null | null | core/tests/test_office.py | cjmash/art-backend | fb1dfd69cca9cda1d8714bd7066c3920d1a97312 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.db import transaction
from rest_framework.exceptions import ValidationError
from ..models import OfficeBlock, OfficeFloor, OfficeFloorSection
from core.tests import CoreBaseTestCase
User = get_user_model()
class OfficeBlockModelTest(CoreBaseTestCase):
... | 37.484536 | 73 | 0.668592 | 417 | 3,636 | 5.549161 | 0.189448 | 0.123596 | 0.073034 | 0.095073 | 0.626621 | 0.593345 | 0.473207 | 0.372947 | 0.280467 | 0.19274 | 0 | 0.006877 | 0.240099 | 3,636 | 96 | 74 | 37.875 | 0.830619 | 0.058581 | 0 | 0.305556 | 0 | 0 | 0.032134 | 0 | 0 | 0 | 0 | 0 | 0.208333 | 1 | 0.125 | false | 0.013889 | 0.069444 | 0 | 0.208333 | 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 |
9fdf686d8f768389a99935e8b0188491d6cb098b | 2,481 | py | Python | tests/functional/collection/test_collection_show.py | sirosen/temp-cli-test | 416fd3fea17b4c7c2cf35d6ccde63cb5719a1af6 | [
"Apache-2.0"
] | 47 | 2016-04-21T19:51:17.000Z | 2022-02-25T14:13:30.000Z | tests/functional/collection/test_collection_show.py | sirosen/temp-cli-test | 416fd3fea17b4c7c2cf35d6ccde63cb5719a1af6 | [
"Apache-2.0"
] | 421 | 2016-04-20T18:45:24.000Z | 2022-03-14T14:50:41.000Z | tests/functional/collection/test_collection_show.py | sirosen/temp-cli-test | 416fd3fea17b4c7c2cf35d6ccde63cb5719a1af6 | [
"Apache-2.0"
] | 20 | 2016-09-10T20:25:27.000Z | 2021-10-06T16:02:47.000Z | import pytest
def test_collection_show(run_line, load_api_fixtures, add_gcs_login):
data = load_api_fixtures("collection_operations.yaml")
cid = data["metadata"]["mapped_collection_id"]
username = data["metadata"]["username"]
epid = data["metadata"]["endpoint_id"]
add_gcs_login(epid)
_result,... | 36.485294 | 132 | 0.639258 | 315 | 2,481 | 4.834921 | 0.279365 | 0.09455 | 0.102429 | 0.041366 | 0.573211 | 0.558766 | 0.540381 | 0.502955 | 0.502955 | 0.502955 | 0 | 0.003906 | 0.174526 | 2,481 | 67 | 133 | 37.029851 | 0.739746 | 0.004031 | 0 | 0.436364 | 0 | 0.018182 | 0.405022 | 0.065614 | 0 | 0 | 0 | 0 | 0.054545 | 1 | 0.054545 | false | 0 | 0.018182 | 0 | 0.072727 | 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 |
9fdfc62d17a4273e27c2f11b9b40558a4ec8fe41 | 2,044 | py | Python | job.py | mapledyne/ihunttools | 28d4f7dbf61b6e3f34c9e1cdfdac2e9afec177d8 | [
"MIT"
] | null | null | null | job.py | mapledyne/ihunttools | 28d4f7dbf61b6e3f34c9e1cdfdac2e9afec177d8 | [
"MIT"
] | 2 | 2021-09-08T02:16:00.000Z | 2022-01-13T02:57:26.000Z | job.py | mapledyne/ihunttools | 28d4f7dbf61b6e3f34c9e1cdfdac2e9afec177d8 | [
"MIT"
] | null | null | null | import argparse
import random
import ihuntapp
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Build an #iHunt job app page.')
parser.add_argument('--name', "-n",
default="Unnamed job", help='Name of the job')
parser.add_argument('--description', "-d",
... | 44.434783 | 99 | 0.626223 | 242 | 2,044 | 5.198347 | 0.309917 | 0.093005 | 0.175676 | 0.063593 | 0.259936 | 0.201908 | 0.162162 | 0.063593 | 0 | 0 | 0 | 0.010652 | 0.219178 | 2,044 | 45 | 100 | 45.422222 | 0.777569 | 0 | 0 | 0 | 0 | 0 | 0.208415 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.078947 | 0 | 0.078947 | 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 |
9fe1fc1239cc234d72923d2663fd719390f1395d | 454 | py | Python | epochbot/utils.py | jaloo555/solana-easy-py | 8e28b8de52fbe4ee0b8e94a0f9c728114fc91728 | [
"MIT"
] | 4 | 2021-09-10T19:20:42.000Z | 2022-02-12T00:27:40.000Z | epochbot/utils.py | jaloo555/solana-easy-py | 8e28b8de52fbe4ee0b8e94a0f9c728114fc91728 | [
"MIT"
] | null | null | null | epochbot/utils.py | jaloo555/solana-easy-py | 8e28b8de52fbe4ee0b8e94a0f9c728114fc91728 | [
"MIT"
] | 1 | 2021-11-08T15:32:46.000Z | 2021-11-08T15:32:46.000Z | def enum(*sequential, **named):
enums = dict(zip(sequential, range(len(sequential))), **named)
return type('Enum', (), enums)
ENDPOINT_URLS_ENUM = enum(
MAIN='https://api.mainnet-beta.solana.com',
DEV='https://api.devnet.solana.com',
TEST='https://api.testnet.solana.com',
)
ENDPOINT_URLS = {
"... | 30.266667 | 66 | 0.645374 | 60 | 454 | 4.833333 | 0.4 | 0.165517 | 0.082759 | 0.131034 | 0.593103 | 0.593103 | 0.593103 | 0.593103 | 0.593103 | 0.593103 | 0 | 0 | 0.129956 | 454 | 15 | 67 | 30.266667 | 0.734177 | 0 | 0 | 0 | 0 | 0 | 0.446154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.153846 | 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 |
9fe207c6dcc8198ff87d2e16175a87d21e6112ea | 812 | py | Python | FrontEnd/mapa_pontos.py | JessicaIsri/WebBot | e9ed911c0306f5e362b577e244e50073336480ea | [
"bzip2-1.0.6"
] | null | null | null | FrontEnd/mapa_pontos.py | JessicaIsri/WebBot | e9ed911c0306f5e362b577e244e50073336480ea | [
"bzip2-1.0.6"
] | 1 | 2021-11-13T10:12:49.000Z | 2021-11-16T12:17:01.000Z | FrontEnd/mapa_pontos.py | JessicaIsri/WebBot | e9ed911c0306f5e362b577e244e50073336480ea | [
"bzip2-1.0.6"
] | null | null | null | import pymongo
import folium
from pymongo import MongoClient
db = MongoClient('mongodb+srv://admin:admin@cluster0-vuh1j.azure.mongodb.net/test?retryWrites=true&w=majority')
db = db.get_database('BD_EMPRESAS')
collection = db.empresas
cnpj = []
latitude = []
longitude = []
qtd_range = []
endereco = []
cnpj = db.... | 24.606061 | 111 | 0.730296 | 109 | 812 | 5.33945 | 0.477064 | 0.042955 | 0.103093 | 0.158076 | 0.213058 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028571 | 0.094828 | 812 | 33 | 112 | 24.606061 | 0.763265 | 0 | 0 | 0 | 0 | 0.05 | 0.236162 | 0.111931 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.15 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9fe3746b0ca2a17a4da60916603ceccce096325e | 6,994 | py | Python | hypernets/tests/searchers/evolution_test.py | Enpen/Hypernets | 5fbf01412ffaef310855d98f52f8cc169e96246b | [
"Apache-2.0"
] | 1,080 | 2020-06-22T07:44:22.000Z | 2022-03-22T07:46:48.000Z | hypernets/tests/searchers/evolution_test.py | Enpen/Hypernets | 5fbf01412ffaef310855d98f52f8cc169e96246b | [
"Apache-2.0"
] | 24 | 2020-08-06T02:06:37.000Z | 2022-03-31T03:34:35.000Z | hypernets/tests/searchers/evolution_test.py | Enpen/Hypernets | 5fbf01412ffaef310855d98f52f8cc169e96246b | [
"Apache-2.0"
] | 170 | 2020-08-14T08:39:18.000Z | 2022-03-23T12:58:17.000Z | # -*- coding:utf-8 -*-
"""
"""
import numpy as np
from hypernets.core.ops import Identity
from hypernets.core.search_space import HyperSpace, Int, Real, Choice, Bool
from hypernets.core.searcher import OptimizeDirection
from hypernets.searchers.evolution_searcher import Population, EvolutionSearcher
def get_space()... | 39.965714 | 120 | 0.570489 | 903 | 6,994 | 4.328904 | 0.20598 | 0.122794 | 0.00921 | 0.085955 | 0.571757 | 0.481197 | 0.481197 | 0.417498 | 0.417498 | 0.406242 | 0 | 0.090497 | 0.274807 | 6,994 | 174 | 121 | 40.195402 | 0.680205 | 0.20875 | 0 | 0.522523 | 0 | 0 | 0.007468 | 0 | 0 | 0 | 0 | 0 | 0.117117 | 1 | 0.054054 | false | 0 | 0.054054 | 0 | 0.135135 | 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 |
9fe62e0a759bb38c6001a97c2d2f6695ebbb34cb | 22,748 | py | Python | tests/filesystem_tests.py | d-kiss/fakeos | 88dff667830efe10841df8b3a5f33a581bd94b69 | [
"MIT"
] | 1 | 2017-10-09T10:59:43.000Z | 2017-10-09T10:59:43.000Z | tests/filesystem_tests.py | d-kiss/fakeos | 88dff667830efe10841df8b3a5f33a581bd94b69 | [
"MIT"
] | 5 | 2017-10-06T17:33:37.000Z | 2017-10-13T16:31:34.000Z | tests/filesystem_tests.py | rinslow/fakeos | 88dff667830efe10841df8b3a5f33a581bd94b69 | [
"MIT"
] | null | null | null | import operator
import os as _os
from pathlib import Path
from string import ascii_letters
from itertools import chain, permutations
from functools import reduce
from fakeos import FakeOS
from hypothesis import given, assume, example
from hypothesis.strategies import text, sets, integers, lists, just
from filesyste... | 33.403818 | 86 | 0.583656 | 2,957 | 22,748 | 4.34021 | 0.077782 | 0.057348 | 0.058906 | 0.062334 | 0.685912 | 0.637447 | 0.586723 | 0.563581 | 0.521583 | 0.514649 | 0 | 0.012003 | 0.278486 | 22,748 | 680 | 87 | 33.452941 | 0.769938 | 0.001363 | 0 | 0.586538 | 0 | 0 | 0.017082 | 0 | 0 | 0 | 0 | 0 | 0.278846 | 1 | 0.098077 | false | 0 | 0.025 | 0 | 0.142308 | 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 |
9fe6a6466ba62d142e4c8d8e39066315eacdcdb4 | 6,129 | py | Python | ceed/utils.py | matham/ceed | 5d32a99a33325b36dbe74d8b0a22e63abc92aab7 | [
"MIT"
] | 1 | 2020-03-02T22:26:44.000Z | 2020-03-02T22:26:44.000Z | ceed/utils.py | matham/ceed | 5d32a99a33325b36dbe74d8b0a22e63abc92aab7 | [
"MIT"
] | null | null | null | ceed/utils.py | matham/ceed | 5d32a99a33325b36dbe74d8b0a22e63abc92aab7 | [
"MIT"
] | 2 | 2020-01-13T19:42:16.000Z | 2020-01-27T14:58:09.000Z | """Utilities
===================
Various tools used in :mod:`ceed`.
"""
import re
import pathlib
from collections import deque
from typing import List, Tuple, Any, Union
__all__ = (
'fix_name', 'update_key_if_other_key', 'collapse_list_to_counts',
'get_plugin_modules', 'CeedWithID',
)
_name_pa... | 32.775401 | 81 | 0.565019 | 818 | 6,129 | 4.09291 | 0.273839 | 0.033453 | 0.013142 | 0.019116 | 0.163082 | 0.11589 | 0.044803 | 0.03405 | 0.0227 | 0 | 0 | 0.007374 | 0.314081 | 6,129 | 186 | 82 | 32.951613 | 0.78901 | 0.414586 | 0 | 0.146341 | 0 | 0 | 0.060479 | 0.021992 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060976 | false | 0 | 0.04878 | 0 | 0.195122 | 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 |
9fe92dc5882b9ab766bfa49539001ca33aa51f84 | 510 | py | Python | chapter1/quest1_4.py | mag6367/Coding_the_Coding_Interview_Python_Solutions | 1d97d18d3d9732c25626e20cb3561ce4241b16e8 | [
"MIT"
] | 1 | 2017-04-28T13:52:13.000Z | 2017-04-28T13:52:13.000Z | chapter1/quest1_4.py | mag6367/Cracking_the_Coding_Interview_Python_Solutions | 1d97d18d3d9732c25626e20cb3561ce4241b16e8 | [
"MIT"
] | null | null | null | chapter1/quest1_4.py | mag6367/Cracking_the_Coding_Interview_Python_Solutions | 1d97d18d3d9732c25626e20cb3561ce4241b16e8 | [
"MIT"
] | null | null | null | # question 1.4 from cracking the code interview 4th ed.
'''
Write a method to decide if two strings are anagrams or not.
'''
# if we sort the two string, they should be the same
def areAnagram (str1, str2):
# check is strings are valid
if not isinstance(str1, str) or not isinstance(str2, str):
return False
# fir... | 24.285714 | 60 | 0.727451 | 83 | 510 | 4.46988 | 0.60241 | 0.053908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03202 | 0.203922 | 510 | 20 | 61 | 25.5 | 0.881773 | 0.594118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 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 |
9febad62a52cd187ba14dbd7516dbb4c9c77a4fc | 2,516 | py | Python | firmware/measure_magnitude.py | mfkiwl/OpenXcvr | 9bea6efd03cd246f16982f0fadafed684ac5ce1c | [
"MIT"
] | 14 | 2020-02-16T15:36:31.000Z | 2022-03-27T02:24:40.000Z | firmware/measure_magnitude.py | mfkiwl/OpenXcvr | 9bea6efd03cd246f16982f0fadafed684ac5ce1c | [
"MIT"
] | 1 | 2020-11-23T16:16:33.000Z | 2020-11-23T16:16:33.000Z | firmware/measure_magnitude.py | mfkiwl/OpenXcvr | 9bea6efd03cd246f16982f0fadafed684ac5ce1c | [
"MIT"
] | 4 | 2021-03-29T16:55:03.000Z | 2022-01-23T16:43:59.000Z | from baremetal import *
from baremetal.signed import number_of_bits_needed
from settings import Settings
from math import log, pi
from matplotlib import pyplot as plt
import numpy as np
import sys
from math import log, ceil
from numpy import log10
#settings for 100KS/s
# hang attack decay
# fast ... | 30.313253 | 131 | 0.65779 | 374 | 2,516 | 4.237968 | 0.347594 | 0.066246 | 0.022713 | 0.024606 | 0.023975 | 0 | 0 | 0 | 0 | 0 | 0 | 0.067358 | 0.232909 | 2,516 | 82 | 132 | 30.682927 | 0.753886 | 0.149046 | 0 | 0 | 0 | 0 | 0.012676 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018182 | false | 0 | 0.163636 | 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 |
9fec2b87298b7ce1d8fa49d924c18e361c3fbd3b | 737 | py | Python | chpt6/Palindrome.py | GDG-Buea/learn-python | 9dfe8caa4b57489cf4249bf7e64856062a0b93c2 | [
"Apache-2.0"
] | null | null | null | chpt6/Palindrome.py | GDG-Buea/learn-python | 9dfe8caa4b57489cf4249bf7e64856062a0b93c2 | [
"Apache-2.0"
] | 2 | 2018-05-21T09:39:00.000Z | 2018-05-27T15:59:15.000Z | chpt6/Palindrome.py | GDG-Buea/learn-python | 9dfe8caa4b57489cf4249bf7e64856062a0b93c2 | [
"Apache-2.0"
] | 2 | 2018-05-19T14:59:56.000Z | 2018-05-19T15:25:48.000Z |
# This program prompts a user to enter an integer and reports whether the integer is a palindrome or not
# A number is a palindrome if its reversal is the same as itself.
def reverse(number):
position1 = number % 10
remainder1 = number // 10
position2 = remainder1 % 10
remainder2 = remainder1 // ... | 23.03125 | 104 | 0.679783 | 103 | 737 | 4.825243 | 0.446602 | 0.110664 | 0.078471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033929 | 0.240163 | 737 | 32 | 105 | 23.03125 | 0.853571 | 0.226594 | 0 | 0 | 0 | 0 | 0.176367 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0 | 0 | 0.352941 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ff112f147fc3eea03cddc2ce893a7da503429c2 | 1,045 | py | Python | emilia/modules/sql/admin_sql.py | masterisira/ELIZA_OF-master | 02a7dbf48e4a3d4ee0981e6a074529ab1497aafe | [
"Unlicense"
] | null | null | null | emilia/modules/sql/admin_sql.py | masterisira/ELIZA_OF-master | 02a7dbf48e4a3d4ee0981e6a074529ab1497aafe | [
"Unlicense"
] | null | null | null | emilia/modules/sql/admin_sql.py | masterisira/ELIZA_OF-master | 02a7dbf48e4a3d4ee0981e6a074529ab1497aafe | [
"Unlicense"
] | null | null | null | import threading
from typing import Union
from sqlalchemy import Column, Integer, String, Boolean
from emilia.modules.sql import SESSION, BASE
class PermanentPin(BASE):
__tablename__ = "permanent_pin"
chat_id = Column(String(14), primary_key=True)
message_id = Column(Integer)
def __init__(self, cha... | 24.302326 | 64 | 0.677512 | 130 | 1,045 | 5.161538 | 0.423077 | 0.089419 | 0.044709 | 0.080477 | 0.113264 | 0.113264 | 0.113264 | 0.113264 | 0 | 0 | 0 | 0.003708 | 0.225837 | 1,045 | 42 | 65 | 24.880952 | 0.825711 | 0 | 0 | 0 | 0 | 0 | 0.035407 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.133333 | 0.033333 | 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 |
9ff624252765d2c5657956ad0fdec3d525d53544 | 22,024 | py | Python | lcfit_utils.py | idekany/lcfit | 4a0080fca981afe2b8974db8f5d3484c663b6c13 | [
"MIT"
] | null | null | null | lcfit_utils.py | idekany/lcfit | 4a0080fca981afe2b8974db8f5d3484c663b6c13 | [
"MIT"
] | null | null | null | lcfit_utils.py | idekany/lcfit | 4a0080fca981afe2b8974db8f5d3484c663b6c13 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
import os
import numpy as np
import fourier as ff
import matplotlib
import warnings
from matplotlib import pyplot as plt
from os.path import isfile
matplotlib.use('Agg')
def warn(*args, **kwargs):
print('WARNING: ', *args, file=sys.stderr, **kwargs)
def fit_validate_model(mod... | 42.517375 | 133 | 0.582047 | 2,941 | 22,024 | 4.220673 | 0.17171 | 0.008056 | 0.009184 | 0.009667 | 0.365423 | 0.32184 | 0.295416 | 0.269717 | 0.240071 | 0.202691 | 0 | 0.027788 | 0.274519 | 22,024 | 517 | 134 | 42.599613 | 0.749093 | 0.120687 | 0 | 0.223141 | 0 | 0.008264 | 0.117861 | 0 | 0 | 0 | 0 | 0 | 0.019284 | 1 | 0.038567 | false | 0 | 0.022039 | 0.002755 | 0.085399 | 0.013774 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ff65d9e76edd0a7d15ce5ca32d68a653fd8c1bc | 2,939 | py | Python | facetool/annotator.py | yliess86/FaceTool | f93c511e9868b4555225750efbac2228a00fea00 | [
"MIT"
] | 4 | 2020-05-03T01:29:23.000Z | 2020-07-15T08:13:05.000Z | facetool/annotator.py | yliess86/FaceTool | f93c511e9868b4555225750efbac2228a00fea00 | [
"MIT"
] | 3 | 2020-04-30T01:18:02.000Z | 2020-05-01T14:52:11.000Z | facetool/annotator.py | yliess86/FaceCrop | f93c511e9868b4555225750efbac2228a00fea00 | [
"MIT"
] | 1 | 2020-05-16T21:27:24.000Z | 2020-05-16T21:27:24.000Z | # -*- coding: utf-8 -*-
"""facetool.annotator
The files provides a Face Annotator in charge of combining the result of the
Face Detector and Face Landmark in a single pandas DataFrame. This Face
Annotator is the API built to be used by the end user.
"""
from facetool.detector import FaceDetector
from facetool.landmar... | 36.7375 | 78 | 0.600204 | 411 | 2,939 | 4.201946 | 0.3382 | 0.037638 | 0.015634 | 0.020845 | 0.044007 | 0.044007 | 0.018529 | 0.018529 | 0 | 0 | 0 | 0.01699 | 0.299081 | 2,939 | 80 | 79 | 36.7375 | 0.821359 | 0.4869 | 0 | 0 | 0 | 0 | 0.052632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.2 | 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 |
9ff7ddf37d375ebc0e9b1af36cfd6f7f85ab8e18 | 1,338 | py | Python | pygrn/problems/air_quality.py | nico1as/pyGRN | 115d9d42dfbd374fc64393cabefb2a8e245aa6b7 | [
"Apache-2.0"
] | 7 | 2018-07-18T16:08:51.000Z | 2020-12-09T07:18:35.000Z | pygrn/problems/air_quality.py | nico1as/pyGRN | 115d9d42dfbd374fc64393cabefb2a8e245aa6b7 | [
"Apache-2.0"
] | 3 | 2018-04-13T11:44:59.000Z | 2018-04-19T13:58:06.000Z | pygrn/problems/air_quality.py | nico1as/pyGRN | 115d9d42dfbd374fc64393cabefb2a8e245aa6b7 | [
"Apache-2.0"
] | 6 | 2018-07-22T01:54:14.000Z | 2021-08-04T16:01:38.000Z | from __future__ import print_function
import numpy as np
import os
from datetime import datetime
from pygrn.problems import TimeRegression
class AirQuality(TimeRegression):
def __init__(self, namestr=datetime.now().isoformat(), learn=True,
epochs=1, root_dir='./', lamarckian=False):
data... | 31.857143 | 77 | 0.595665 | 168 | 1,338 | 4.559524 | 0.446429 | 0.052219 | 0.062663 | 0.036554 | 0.044386 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01877 | 0.283259 | 1,338 | 41 | 78 | 32.634146 | 0.779979 | 0 | 0 | 0 | 0 | 0 | 0.035127 | 0.023169 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.151515 | 0 | 0.212121 | 0.030303 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ff867269ebc563da12e37b56fdbdcb6807b0b80 | 3,572 | py | Python | vocabulary.py | retrieva/python_stm | 862e63e6f03b326cb036b1136dead280c42b9da8 | [
"MIT"
] | 11 | 2020-02-07T05:26:08.000Z | 2021-11-27T09:51:24.000Z | vocabulary.py | retrieva/python_stm | 862e63e6f03b326cb036b1136dead280c42b9da8 | [
"MIT"
] | null | null | null | vocabulary.py | retrieva/python_stm | 862e63e6f03b326cb036b1136dead280c42b9da8 | [
"MIT"
] | 1 | 2020-02-10T02:44:37.000Z | 2020-02-10T02:44:37.000Z | # This code is available under the MIT License.
# (c)2010-2011 Nakatani Shuyo / Cybozu Labs Inc.
# (c)2018-2019 Hiroki Iida / Retrieva Inc.
import nltk
import re
import MeCab
stopwords_list = nltk.corpus.stopwords.words('english')
recover_list = {"wa":"was", "ha":"has"}
wl = nltk.WordNetLemmatizer()
def load_corpu... | 26.072993 | 79 | 0.56075 | 471 | 3,572 | 4.11465 | 0.261147 | 0.065015 | 0.045408 | 0.02322 | 0.033024 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011662 | 0.327828 | 3,572 | 136 | 80 | 26.264706 | 0.795502 | 0.069429 | 0 | 0.09901 | 0 | 0 | 0.017661 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.138614 | false | 0 | 0.039604 | 0.039604 | 0.326733 | 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 |
9ffac072e4010a04d6f1b435f72c2103f99a9533 | 7,664 | py | Python | kubb_match/views/rest.py | BartSaelen/kubb_match | 848663bb3db5da73b726a956aa887c3eec30db8b | [
"Apache-2.0"
] | 2 | 2015-05-03T13:42:27.000Z | 2015-08-07T07:42:29.000Z | kubb_match/views/rest.py | BartSaelen/kubb_match | 848663bb3db5da73b726a956aa887c3eec30db8b | [
"Apache-2.0"
] | 2 | 2016-09-15T12:38:22.000Z | 2016-09-15T12:41:18.000Z | kubb_match/views/rest.py | BartSaelen/kubb_match | 848663bb3db5da73b726a956aa887c3eec30db8b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from pyramid.httpexceptions import HTTPBadRequest, HTTPNotFound
from pyramid.view import view_defaults, view_config
from kubb_match.data.mappers import map_team, map_game
from kubb_match.data.models import Team
from kubb_match.service.tournament_service import TournamentService
class RestView(... | 34.678733 | 87 | 0.579201 | 883 | 7,664 | 4.826727 | 0.129105 | 0.077428 | 0.06687 | 0.063351 | 0.70671 | 0.580009 | 0.507274 | 0.450962 | 0.359456 | 0.249648 | 0 | 0.002836 | 0.30976 | 7,664 | 220 | 88 | 34.836364 | 0.802836 | 0.00274 | 0 | 0.550505 | 0 | 0 | 0.079702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085859 | false | 0 | 0.025253 | 0.015152 | 0.247475 | 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 |
9ffb3711d6a34d1adba73090bd3c202a99a4f456 | 2,651 | py | Python | CTCWordBeamSearch-master/tests/test_word_beam_search.py | brucegrapes/htr | 9f8f07173ccc740dd8a4dfc7e8038abe36664756 | [
"MIT"
] | 488 | 2018-03-01T11:18:26.000Z | 2022-03-10T09:29:32.000Z | CTCWordBeamSearch-master/tests/test_word_beam_search.py | brucegrapes/htr | 9f8f07173ccc740dd8a4dfc7e8038abe36664756 | [
"MIT"
] | 60 | 2018-03-10T18:37:51.000Z | 2022-03-30T19:37:18.000Z | CTCWordBeamSearch-master/tests/test_word_beam_search.py | brucegrapes/htr | 9f8f07173ccc740dd8a4dfc7e8038abe36664756 | [
"MIT"
] | 152 | 2018-03-01T11:18:25.000Z | 2022-03-08T23:37:46.000Z | import codecs
import numpy as np
from word_beam_search import WordBeamSearch
def apply_word_beam_search(mat, corpus, chars, word_chars):
"""Decode using word beam search. Result is tuple, first entry is label string, second entry is char string."""
T, B, C = mat.shape
# decode using the "Words" mode of ... | 35.346667 | 115 | 0.614485 | 410 | 2,651 | 3.87561 | 0.336585 | 0.01888 | 0.01888 | 0.020138 | 0.201385 | 0.172435 | 0.172435 | 0.172435 | 0.172435 | 0.139711 | 0 | 0.027094 | 0.234251 | 2,651 | 74 | 116 | 35.824324 | 0.755665 | 0.278386 | 0 | 0.163265 | 0 | 0 | 0.126461 | 0 | 0 | 0 | 0 | 0 | 0.061224 | 1 | 0.081633 | false | 0 | 0.061224 | 0 | 0.183673 | 0.163265 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ffdc1e59bb26b37e4cdbdb001abd755fccd616d | 859 | py | Python | src/api/migrations/versions/2021-09-25_add_session_type_and_instructor.py | YACS-RCOS/yacs.n | a04f8e79279826914b942e3a8c709c50f08ff149 | [
"MIT"
] | 20 | 2020-02-29T19:03:31.000Z | 2022-02-18T21:13:12.000Z | src/api/migrations/versions/2021-09-25_add_session_type_and_instructor.py | YACS-RCOS/yacs.n | a04f8e79279826914b942e3a8c709c50f08ff149 | [
"MIT"
] | 465 | 2020-02-29T19:08:18.000Z | 2022-03-18T22:21:49.000Z | src/api/migrations/versions/2021-09-25_add_session_type_and_instructor.py | YACS-RCOS/yacs.n | a04f8e79279826914b942e3a8c709c50f08ff149 | [
"MIT"
] | 19 | 2020-02-29T01:22:23.000Z | 2022-02-14T01:47:09.000Z | """add session type and instructor
Revision ID: 54df4fb8dfe9
Revises: a3be4710680d
Create Date: 2021-09-25 03:08:18.501929
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '54df4fb8dfe9'
down_revision = 'a3be4710680d'
branch_labels = None
depends_on = None
def... | 27.709677 | 101 | 0.71362 | 109 | 859 | 5.504587 | 0.477064 | 0.08 | 0.126667 | 0.076667 | 0.43 | 0.35 | 0.25 | 0.146667 | 0 | 0 | 0 | 0.071429 | 0.152503 | 859 | 30 | 102 | 28.633333 | 0.752747 | 0.364377 | 0 | 0 | 0 | 0 | 0.243615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ffddf9f2ec970e9ca9b3a8192c022d87d76144d | 1,656 | py | Python | plot_data.py | qzane/kmeans-cuda | f2a0e8dd6859cf735c95e1365342f4623f0a71ff | [
"MIT"
] | null | null | null | plot_data.py | qzane/kmeans-cuda | f2a0e8dd6859cf735c95e1365342f4623f0a71ff | [
"MIT"
] | null | null | null | plot_data.py | qzane/kmeans-cuda | f2a0e8dd6859cf735c95e1365342f4623f0a71ff | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 27 22:31:17 2018
@author: qzane
"""
import numpy as np
import matplotlib.pyplot as plt
from argparse import ArgumentParser
def read_points(fname):
points = []
with open(fname) as f:
while(1):
tmp = f.readline()
... | 25.090909 | 83 | 0.532609 | 204 | 1,656 | 4.220588 | 0.426471 | 0.075494 | 0.059233 | 0.034843 | 0.181185 | 0.181185 | 0.181185 | 0.102207 | 0.102207 | 0.102207 | 0 | 0.028521 | 0.322464 | 1,656 | 66 | 84 | 25.090909 | 0.738859 | 0.057367 | 0 | 0.232558 | 0 | 0 | 0.042498 | 0 | 0 | 0 | 0 | 0 | 0.023256 | 1 | 0.069767 | false | 0 | 0.069767 | 0 | 0.186047 | 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 |
9fff12642cb00ff3e2ce7ae890c3d2b10cbbe1d1 | 8,936 | py | Python | src/WignerFunctionMeasurement.py | ngchihuan/WignerFunc_Measurement | 9c258180da4c1a1ff87b384f0aaf85dc0f92d667 | [
"MIT"
] | null | null | null | src/WignerFunctionMeasurement.py | ngchihuan/WignerFunc_Measurement | 9c258180da4c1a1ff87b384f0aaf85dc0f92d667 | [
"MIT"
] | null | null | null | src/WignerFunctionMeasurement.py | ngchihuan/WignerFunc_Measurement | 9c258180da4c1a1ff87b384f0aaf85dc0f92d667 | [
"MIT"
] | null | null | null | import os
from os.path import join, isfile
from shutil import Error
from sys import exec_prefix
import numpy as np
import fit
import simple_read_data
from tabulate import tabulate
import logging
np.seterr(all='raise')
class DataFormatError(Exception):
pass
class WrongPathFormat(Exception):
pass
def check_dat... | 31.575972 | 173 | 0.57218 | 1,141 | 8,936 | 4.379492 | 0.208589 | 0.040024 | 0.010006 | 0.014008 | 0.194717 | 0.160897 | 0.160897 | 0.14969 | 0.13408 | 0.129278 | 0 | 0.006376 | 0.315466 | 8,936 | 283 | 174 | 31.575972 | 0.810528 | 0.10385 | 0 | 0.280612 | 0 | 0 | 0.096856 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0.020408 | 0.045918 | 0.005102 | 0.22449 | 0.045918 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b000e8e09627008c8e1b4d9bdfd0f7e449d23a7e | 1,729 | py | Python | falmer/content/models/scheme.py | sussexstudent/services-api | ae735bd9d6177002c3d986e5c19a78102233308f | [
"MIT"
] | 2 | 2017-04-27T19:35:59.000Z | 2017-06-13T16:19:33.000Z | falmer/content/models/scheme.py | sussexstudent/falmer | ae735bd9d6177002c3d986e5c19a78102233308f | [
"MIT"
] | 975 | 2017-04-13T11:31:07.000Z | 2022-02-10T07:46:18.000Z | falmer/content/models/scheme.py | sussexstudent/services-api | ae735bd9d6177002c3d986e5c19a78102233308f | [
"MIT"
] | 3 | 2018-05-09T06:42:25.000Z | 2020-12-10T18:29:30.000Z | from django.db import models
from wagtail.admin.edit_handlers import FieldPanel, StreamFieldPanel, MultiFieldPanel
from wagtail.core.blocks import StreamBlock
from wagtail.core.fields import StreamField
from wagtail.images.edit_handlers import ImageChooserPanel
from falmer.content import components
from falmer.content.... | 27.887097 | 97 | 0.685367 | 171 | 1,729 | 6.730994 | 0.380117 | 0.069505 | 0.044309 | 0.034752 | 0.079931 | 0.079931 | 0 | 0 | 0 | 0 | 0 | 0 | 0.219202 | 1,729 | 61 | 98 | 28.344262 | 0.852593 | 0 | 0 | 0.122449 | 0 | 0 | 0.111625 | 0.051475 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.204082 | 0 | 0.469388 | 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 |
b00272462aa831ed8359bfb1b05ac3991b3aef99 | 956 | py | Python | src/marion/marion/tests/test_fields.py | openfun/marion | bf06b64bf78bca16685e62ff14b66897c1dbe80c | [
"MIT"
] | 7 | 2021-04-06T20:33:31.000Z | 2021-09-30T23:29:24.000Z | src/marion/marion/tests/test_fields.py | openfun/marion | bf06b64bf78bca16685e62ff14b66897c1dbe80c | [
"MIT"
] | 23 | 2020-09-09T15:01:50.000Z | 2022-01-03T08:58:36.000Z | src/marion/marion/tests/test_fields.py | openfun/marion | bf06b64bf78bca16685e62ff14b66897c1dbe80c | [
"MIT"
] | 2 | 2020-12-14T10:07:07.000Z | 2021-06-29T00:20:43.000Z | """Tests for the marion application fields"""
from marion.defaults import DocumentIssuerChoices
from ..fields import IssuerLazyChoiceField, LazyChoiceField
def test_fields_lazy_choice_field():
"""
LazyChoiceField class.
Choices instance attribute should not be customizable.
"""
field = LazyChoic... | 26.555556 | 70 | 0.712343 | 97 | 956 | 6.793814 | 0.463918 | 0.060698 | 0.091047 | 0.063733 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010363 | 0.192469 | 956 | 35 | 71 | 27.314286 | 0.843264 | 0.222803 | 0 | 0 | 0 | 0 | 0.154506 | 0.087268 | 0 | 0 | 0 | 0 | 0.176471 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.235294 | 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 |
b00495771d6a310aa5e5d77c1c05c91690f9a756 | 2,331 | py | Python | ObjectTrackingDrone/colorpickerusingTello.py | udayagopi587/ArealRobotics_AutonomousDrone | 6bc10ee167076086abb3b2eef311ae43f457f21d | [
"MIT"
] | 1 | 2022-03-12T00:47:24.000Z | 2022-03-12T00:47:24.000Z | ObjectTrackingDrone/colorpickerusingTello.py | udayagopi587/ArealRobotics_AutonomousDrone | 6bc10ee167076086abb3b2eef311ae43f457f21d | [
"MIT"
] | null | null | null | ObjectTrackingDrone/colorpickerusingTello.py | udayagopi587/ArealRobotics_AutonomousDrone | 6bc10ee167076086abb3b2eef311ae43f457f21d | [
"MIT"
] | 1 | 2022-03-14T23:42:57.000Z | 2022-03-14T23:42:57.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 3 12:15:40 2022
@author: udaya
"""
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 27 18:06:29 2022
@author: udaya
"""
import cv2
import numpy as np
from djitellopy import Tello
frameWidth = 640
frameHeight = 480
###############################
... | 26.793103 | 81 | 0.632347 | 312 | 2,331 | 4.641026 | 0.384615 | 0.070442 | 0.075967 | 0.051796 | 0.112569 | 0.044199 | 0.044199 | 0 | 0 | 0 | 0 | 0.060523 | 0.213213 | 2,331 | 87 | 82 | 26.793103 | 0.729008 | 0.108966 | 0 | 0 | 0 | 0 | 0.081611 | 0 | 0 | 0 | 0.00212 | 0 | 0 | 1 | 0.056604 | false | 0.018868 | 0.056604 | 0 | 0.150943 | 0.037736 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b0050cae1ff0c2350a07478cbaf2f32a1d466c54 | 16,101 | py | Python | climetlab_plugin_tools/create_plugin_cmd.py | ecmwf-lab/climetlab-plugin-tools | 52fc1c6c07958ecfb8a5c946f4851725832b3cd0 | [
"Apache-2.0"
] | null | null | null | climetlab_plugin_tools/create_plugin_cmd.py | ecmwf-lab/climetlab-plugin-tools | 52fc1c6c07958ecfb8a5c946f4851725832b3cd0 | [
"Apache-2.0"
] | null | null | null | climetlab_plugin_tools/create_plugin_cmd.py | ecmwf-lab/climetlab-plugin-tools | 52fc1c6c07958ecfb8a5c946f4851725832b3cd0 | [
"Apache-2.0"
] | null | null | null | # (C) Copyright 2020 ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmenta... | 33.266529 | 143 | 0.629464 | 1,976 | 16,101 | 4.981781 | 0.198381 | 0.021942 | 0.011174 | 0.024685 | 0.243905 | 0.162942 | 0.137647 | 0.105953 | 0.083503 | 0.067655 | 0 | 0.002619 | 0.264766 | 16,101 | 483 | 144 | 33.335404 | 0.828941 | 0.028942 | 0 | 0.220207 | 0 | 0.012953 | 0.367818 | 0.052371 | 0.002591 | 0 | 0 | 0.00207 | 0.007772 | 1 | 0.093264 | false | 0.002591 | 0.020725 | 0.010363 | 0.261658 | 0.031088 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b00bb16d432ae4e7eebbd1a8f438f11ad4838ec1 | 1,141 | py | Python | openCVTutorials/openCVimgChangeColorspaceTutorial.py | nahutch/BasketballAI_P1 | 9a44f80787231df386910c28f17bab465fee013d | [
"Apache-2.0"
] | 1 | 2019-01-24T19:07:08.000Z | 2019-01-24T19:07:08.000Z | openCVTutorials/openCVimgChangeColorspaceTutorial.py | nahutch/BasketballAI_P1 | 9a44f80787231df386910c28f17bab465fee013d | [
"Apache-2.0"
] | null | null | null | openCVTutorials/openCVimgChangeColorspaceTutorial.py | nahutch/BasketballAI_P1 | 9a44f80787231df386910c28f17bab465fee013d | [
"Apache-2.0"
] | null | null | null | #following tutorial: https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_colorspaces/py_colorspaces.html#converting-colorspaces
import numpy as np
import cv2
#there are more than 150 color-space conversions methods available in OpenCV
#why so many?
#gets all possible color space conver... | 26.534884 | 158 | 0.718668 | 180 | 1,141 | 4.472222 | 0.572222 | 0.029814 | 0.037267 | 0.042236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049163 | 0.162138 | 1,141 | 42 | 159 | 27.166667 | 0.792887 | 0.404032 | 0 | 0 | 0 | 0 | 0.031343 | 0 | 0 | 0 | 0.00597 | 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 |
b00d6bcbdc91daedbc8ff5cedd805b13268a4bca | 7,026 | py | Python | src/model1_predict.py | shubhampachori12110095/FashionAI-Clothing-Attribute-Labels-Classification | 04fb40948fcae55c379d8e878c41f281948155e8 | [
"Apache-2.0"
] | 2 | 2018-12-29T09:10:18.000Z | 2020-08-07T03:42:38.000Z | src/model1_predict.py | shubhampachori12110095/FashionAI-Clothing-Attribute-Labels-Classification | 04fb40948fcae55c379d8e878c41f281948155e8 | [
"Apache-2.0"
] | null | null | null | src/model1_predict.py | shubhampachori12110095/FashionAI-Clothing-Attribute-Labels-Classification | 04fb40948fcae55c379d8e878c41f281948155e8 | [
"Apache-2.0"
] | 3 | 2018-12-29T09:10:21.000Z | 2021-05-23T06:30:35.000Z | # -*- coding: UTF-8 -*-
import os
import numpy as np
import pandas as pd
from tqdm import tqdm
import json
import cv2
from sklearn.model_selection import train_test_split
import matplotlib
from keras.utils import np_utils
from keras.optimizers import *
from keras.preprocessing.image import ImageDataGenerator
from f... | 39.033333 | 117 | 0.646883 | 894 | 7,026 | 4.864653 | 0.213647 | 0.019315 | 0.024833 | 0.03564 | 0.51966 | 0.500805 | 0.472292 | 0.472292 | 0.453438 | 0.437802 | 0 | 0.023544 | 0.208084 | 7,026 | 179 | 118 | 39.251397 | 0.758088 | 0.024765 | 0 | 0.454545 | 0 | 0.007576 | 0.182101 | 0.053934 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007576 | false | 0.015152 | 0.151515 | 0 | 0.166667 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b00f7bd4e39ef2e25f158e39f9604eb34518aa71 | 815 | py | Python | test_parametrized_tests.py | karianjahi/python_pytest_tutorial | d8cf7bc9d85e75cc3248a35d8abdfd24d76276cd | [
"MIT"
] | null | null | null | test_parametrized_tests.py | karianjahi/python_pytest_tutorial | d8cf7bc9d85e75cc3248a35d8abdfd24d76276cd | [
"MIT"
] | null | null | null | test_parametrized_tests.py | karianjahi/python_pytest_tutorial | d8cf7bc9d85e75cc3248a35d8abdfd24d76276cd | [
"MIT"
] | null | null | null | """
Organizing test and parametrizing
"""
# Parametrized tests: Run many tests in one
# pylint: disable=W0622
# pylint: disable=R0201
# pylint: disable=R0903
import pytest
from word_counter import count_words
class TestWordCounterParametrization:
"""
In this case we want to test many tests in one function
"... | 27.166667 | 59 | 0.586503 | 103 | 815 | 4.582524 | 0.601942 | 0.042373 | 0.04661 | 0.059322 | 0.067797 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040404 | 0.271166 | 815 | 29 | 60 | 28.103448 | 0.754209 | 0.266258 | 0 | 0 | 0 | 0 | 0.276867 | 0.047359 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.0625 | 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 |
b0110b071338ec4840e5427dcade83815657e854 | 1,685 | py | Python | src/dep_appearances/cli.py | jdlubrano/dep-appearances | bf752b469463ee8cb7351df37231d250be3bcf47 | [
"MIT"
] | null | null | null | src/dep_appearances/cli.py | jdlubrano/dep-appearances | bf752b469463ee8cb7351df37231d250be3bcf47 | [
"MIT"
] | null | null | null | src/dep_appearances/cli.py | jdlubrano/dep-appearances | bf752b469463ee8cb7351df37231d250be3bcf47 | [
"MIT"
] | null | null | null | from argparse import ArgumentParser
import os
import pdb
import sys
from dep_appearances.appearances_report import AppearancesReport
def main():
parser = ArgumentParser(description='Find dependencies that are unused and underused in your codebase.')
parser.add_argument(
'project_root',
metava... | 30.089286 | 108 | 0.668249 | 193 | 1,685 | 5.658031 | 0.38342 | 0.098901 | 0.019231 | 0.064103 | 0.152015 | 0.152015 | 0.104396 | 0 | 0 | 0 | 0 | 0.003084 | 0.230267 | 1,685 | 55 | 109 | 30.636364 | 0.838859 | 0 | 0 | 0.139535 | 0 | 0 | 0.315134 | 0.093175 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.186047 | 0 | 0.209302 | 0.209302 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b0134690af47b5e16baf709ce4dca459913ce34e | 1,175 | py | Python | pyfirmata_tmp36_MQ7_Mysql.py | amy861113/Arduino | 7592c2029242fca24245ee1c34b2b9f6043070d1 | [
"MIT"
] | null | null | null | pyfirmata_tmp36_MQ7_Mysql.py | amy861113/Arduino | 7592c2029242fca24245ee1c34b2b9f6043070d1 | [
"MIT"
] | null | null | null | pyfirmata_tmp36_MQ7_Mysql.py | amy861113/Arduino | 7592c2029242fca24245ee1c34b2b9f6043070d1 | [
"MIT"
] | null | null | null | from pyfirmata import Arduino, util
from time import sleep
import pymysql
def arduino_map(x, in_min, in_max, out_min, out_max):
return(x-in_min) * (out_max-out_min) / (in_max-in_min) + out_min
PORT = "COM4"
uno = Arduino(PORT)
sleep(5)
it = util.Iterator(uno)
it.start()
a4 = uno.get_pin('a:4:i')
a5 = uno.get_p... | 23.5 | 124 | 0.612766 | 175 | 1,175 | 4.022857 | 0.468571 | 0.021307 | 0.017045 | 0.028409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073144 | 0.220426 | 1,175 | 49 | 125 | 23.979592 | 0.695415 | 0.048511 | 0 | 0.135135 | 0 | 0 | 0.163229 | 0.021525 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0.027027 | 0.081081 | 0.027027 | 0.108108 | 0.108108 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b01504199a00f0b0ea4a2e7806f9a6775f0b35bb | 11,037 | py | Python | BCPNN/backend/_cpu_base_backend.py | KTH-HPC/StreamBrain | 37b16e7c8e02e6d2800bcf89630a0f4419e90cd4 | [
"BSD-2-Clause"
] | 4 | 2020-10-20T22:15:25.000Z | 2022-02-10T10:25:24.000Z | BCPNN/backend/_cpu_base_backend.py | KTH-HPC/StreamBrain | 37b16e7c8e02e6d2800bcf89630a0f4419e90cd4 | [
"BSD-2-Clause"
] | 1 | 2020-12-16T10:46:50.000Z | 2020-12-16T10:46:50.000Z | BCPNN/backend/_cpu_base_backend.py | KTH-HPC/StreamBrain | 37b16e7c8e02e6d2800bcf89630a0f4419e90cd4 | [
"BSD-2-Clause"
] | 1 | 2020-10-20T22:15:29.000Z | 2020-10-20T22:15:29.000Z | import sys
import numpy as np
from tqdm import tqdm
from contextlib import nullcontext
class DenseLayer:
_update_state = None
_softmax_minicolumns = None
_update_counters = None
_update_weights = None
_update_bias = None
def __init__(
self,
in_features,
hyp... | 35.038095 | 94 | 0.552596 | 1,179 | 11,037 | 4.951654 | 0.10687 | 0.04779 | 0.048818 | 0.039397 | 0.664782 | 0.640459 | 0.627612 | 0.591641 | 0.564406 | 0.545906 | 0 | 0.008322 | 0.357615 | 11,037 | 314 | 95 | 35.149682 | 0.815092 | 0.003896 | 0 | 0.606061 | 0 | 0 | 0.003093 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056818 | false | 0.003788 | 0.015152 | 0 | 0.140152 | 0.003788 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b01639c2289f47ba698eea2092678bb22c032e75 | 6,879 | py | Python | flux_sensors/flux_sensor.py | Flux-Coordinator/flux-sensors | 44968c95e277023c3a6777d653e7b3cb4e333923 | [
"MIT"
] | null | null | null | flux_sensors/flux_sensor.py | Flux-Coordinator/flux-sensors | 44968c95e277023c3a6777d653e7b3cb4e333923 | [
"MIT"
] | 1 | 2018-06-14T18:21:33.000Z | 2018-06-14T18:21:33.000Z | flux_sensors/flux_sensor.py | Flux-Coordinator/flux-sensors | 44968c95e277023c3a6777d653e7b3cb4e333923 | [
"MIT"
] | null | null | null | from flux_sensors.localizer.localizer import Localizer, Coordinates, LocalizerError, PozyxDeviceError
from flux_sensors.light_sensor.light_sensor import LightSensor
from flux_sensors.config_loader import ConfigLoader
from flux_sensors.flux_server import FluxServer, FluxServerError
from flux_sensors.models import models... | 44.668831 | 118 | 0.602704 | 687 | 6,879 | 5.793304 | 0.235808 | 0.067839 | 0.059799 | 0.028141 | 0.284673 | 0.260302 | 0.195226 | 0.131156 | 0.131156 | 0.111055 | 0 | 0.003204 | 0.319378 | 6,879 | 153 | 119 | 44.960784 | 0.84686 | 0.022532 | 0 | 0.291339 | 0 | 0 | 0.135063 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07874 | false | 0 | 0.070866 | 0.007874 | 0.212598 | 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 |
b019647d7984c42bcd98ff6521f630e19b83c858 | 11,288 | py | Python | Network.py | Coldog2333/pytoflow | 3cec913fa5a2ddb8133a075d4ff177cceb74f06a | [
"MIT"
] | 102 | 2018-12-29T16:19:18.000Z | 2022-01-13T03:54:04.000Z | Network.py | mengxiangyudlut/pytoflow | 3cec913fa5a2ddb8133a075d4ff177cceb74f06a | [
"MIT"
] | 19 | 2019-04-26T10:19:14.000Z | 2021-11-14T07:36:23.000Z | Network.py | mengxiangyudlut/pytoflow | 3cec913fa5a2ddb8133a075d4ff177cceb74f06a | [
"MIT"
] | 32 | 2019-03-04T00:10:06.000Z | 2022-01-11T08:19:19.000Z | import math
import torch
# import torch.utils.serialization # it was removed in torch v1.0.0 or higher version.
arguments_strModel = 'sintel-final'
SpyNet_model_dir = './models' # The directory of SpyNet's weights
def normalize(tensorInput):
tensorRed = (tensorInput[:, 0:1, :, :] - 0.485) / 0.229
tensorGre... | 47.230126 | 186 | 0.589033 | 1,426 | 11,288 | 4.532959 | 0.153576 | 0.037902 | 0.036819 | 0.023205 | 0.485767 | 0.391244 | 0.318998 | 0.282178 | 0.23453 | 0.209777 | 0 | 0.051084 | 0.264706 | 11,288 | 238 | 187 | 47.428571 | 0.727711 | 0.092931 | 0 | 0.236364 | 0 | 0 | 0.027739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.012121 | 0.006061 | 0.193939 | 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 |
b01bbd168b9b732e58f788ff84aca342f6b50515 | 2,668 | py | Python | storagetest/pkgs/ltp/acl/acl_test.py | liufeng-elva/storage-test2 | 5364cc00dbe71b106f1bb740bf391e6124788bf4 | [
"MIT"
] | null | null | null | storagetest/pkgs/ltp/acl/acl_test.py | liufeng-elva/storage-test2 | 5364cc00dbe71b106f1bb740bf391e6124788bf4 | [
"MIT"
] | null | null | null | storagetest/pkgs/ltp/acl/acl_test.py | liufeng-elva/storage-test2 | 5364cc00dbe71b106f1bb740bf391e6124788bf4 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
@file : acl_test.py
@Time : 2020/11/9 9:25
@Author: Tao.Xu
@Email : tao.xu2008@outlook.com
"""
import os
import unittest
from storagetest.libs import utils
from storagetest.libs.log import log
from storagetest.libs.exceptions import PlatformError, NoSuchDir, NoSuchBina... | 29.644444 | 92 | 0.613943 | 359 | 2,668 | 4.376045 | 0.345404 | 0.056015 | 0.049013 | 0.026735 | 0.211967 | 0.181413 | 0.168046 | 0.150223 | 0.109484 | 0.109484 | 0 | 0.013111 | 0.256747 | 2,668 | 89 | 93 | 29.977528 | 0.779123 | 0.084708 | 0 | 0.216667 | 0 | 0 | 0.136664 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 1 | 0.116667 | false | 0.033333 | 0.083333 | 0 | 0.283333 | 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 |
b0204523055a99ef60f353c69bef13df582957e8 | 15,276 | py | Python | library/modules/encoder_decoders/sequence_to_sequence.py | dangitstam/le-traducteur | 499005ac198029fd2a7e7469fb250b8b3af6a619 | [
"Apache-2.0"
] | 6 | 2018-10-23T10:05:55.000Z | 2020-08-30T13:04:51.000Z | library/modules/encoder_decoders/sequence_to_sequence.py | dangitstam/le-traducteur | 499005ac198029fd2a7e7469fb250b8b3af6a619 | [
"Apache-2.0"
] | 1 | 2018-08-20T21:58:33.000Z | 2020-12-29T17:44:04.000Z | library/modules/encoder_decoders/sequence_to_sequence.py | dangitstam/le-traducteur | 499005ac198029fd2a7e7469fb250b8b3af6a619 | [
"Apache-2.0"
] | 1 | 2022-03-26T05:13:38.000Z | 2022-03-26T05:13:38.000Z | from typing import Dict, Optional, Tuple
import numpy as np
import torch
import torch.nn.functional as F
from allennlp.common.checks import ConfigurationError
from allennlp.common.util import START_SYMBOL, END_SYMBOL
from allennlp.data.vocabulary import Vocabulary
from allennlp.models.model import Model
from allennlp.... | 48.805112 | 106 | 0.645719 | 1,692 | 15,276 | 5.575059 | 0.208629 | 0.024807 | 0.011449 | 0.009011 | 0.146719 | 0.091911 | 0.078978 | 0.058624 | 0.035832 | 0.035832 | 0 | 0.003859 | 0.28751 | 15,276 | 312 | 107 | 48.961538 | 0.862826 | 0.244043 | 0 | 0.06383 | 0 | 0 | 0.03666 | 0.004014 | 0 | 0 | 0 | 0.003205 | 0 | 1 | 0.037234 | false | 0 | 0.074468 | 0 | 0.159574 | 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 |
b023ba4b1780ce639f98fb2247c460ffe792c1f6 | 20,333 | py | Python | tests/rewards_tree/test_rewards_flow.py | shuklaayush/badger-system | 1274eadbd0b0f3a02efbf40702719ce1d0a96c44 | [
"MIT"
] | 99 | 2020-12-02T08:40:48.000Z | 2022-03-15T05:21:06.000Z | tests/rewards_tree/test_rewards_flow.py | shuklaayush/badger-system | 1274eadbd0b0f3a02efbf40702719ce1d0a96c44 | [
"MIT"
] | 115 | 2020-12-15T07:15:39.000Z | 2022-03-28T22:21:03.000Z | tests/rewards_tree/test_rewards_flow.py | shuklaayush/badger-system | 1274eadbd0b0f3a02efbf40702719ce1d0a96c44 | [
"MIT"
] | 56 | 2020-12-11T06:50:04.000Z | 2022-02-21T09:17:38.000Z | import json
import secrets
import brownie
from dotmap import DotMap
import pytest
import pprint
from brownie import *
from helpers.constants import *
from helpers.registry import registry
from rich.console import Console
FARM_ADDRESS = "0xa0246c9032bC3A600820415aE600c6388619A14D"
XSUSHI_ADDRESS = "0x8798249c2E60744... | 31.137825 | 119 | 0.59278 | 1,750 | 20,333 | 6.698857 | 0.138857 | 0.058176 | 0.084193 | 0.017402 | 0.626717 | 0.609059 | 0.601638 | 0.55583 | 0.51352 | 0.497654 | 0 | 0.028435 | 0.299513 | 20,333 | 652 | 120 | 31.185583 | 0.794636 | 0.049722 | 0 | 0.570916 | 0 | 0 | 0.113231 | 0.007984 | 0 | 0 | 0.004355 | 0.001534 | 0.014363 | 1 | 0.014363 | false | 0 | 0.019749 | 0.003591 | 0.044883 | 0.005386 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b0249f5db53b2ce54527df608f97d99c1010a240 | 23,869 | py | Python | HCm-uv/HCm-UV_v4.11/HCm-UV_v4.11.py | Borja-Perez-Diaz/HII-CHI-Mistry | d0dafc753c63246bf14b77807a885ddc7bd4bb99 | [
"MIT"
] | null | null | null | HCm-uv/HCm-UV_v4.11/HCm-UV_v4.11.py | Borja-Perez-Diaz/HII-CHI-Mistry | d0dafc753c63246bf14b77807a885ddc7bd4bb99 | [
"MIT"
] | null | null | null | HCm-uv/HCm-UV_v4.11/HCm-UV_v4.11.py | Borja-Perez-Diaz/HII-CHI-Mistry | d0dafc753c63246bf14b77807a885ddc7bd4bb99 | [
"MIT"
] | null | null | null | # Filename: HCm_UV_v4.11.py
import string
import numpy as np
import sys
#sys.stderr = open('errorlog.txt', 'w')
#Function for interpolation of grids
def interpolate(grid,z,zmin,zmax,n):
ncol = 9
vec = []
for col in range(ncol):
inter = 0
no_inter = 0
for row in range(0,len(grid)):
... | 30.759021 | 453 | 0.526541 | 3,539 | 23,869 | 3.342187 | 0.083639 | 0.023334 | 0.02232 | 0.020883 | 0.498647 | 0.440227 | 0.36422 | 0.319412 | 0.303855 | 0.284156 | 0 | 0.118509 | 0.325485 | 23,869 | 775 | 454 | 30.79871 | 0.616149 | 0.016884 | 0 | 0.458529 | 0 | 0.010955 | 0.129669 | 0.025712 | 0 | 0 | 0 | 0 | 0 | 1 | 0.001565 | false | 0.01252 | 0.004695 | 0 | 0.007825 | 0.057903 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b02d1a840f2e9ca574098b991b8f37e1b954c866 | 979 | py | Python | excel2.py | darkless456/Python | 1ba37d028e4a818ccfffc18682c1bac15554e3ac | [
"MIT"
] | null | null | null | excel2.py | darkless456/Python | 1ba37d028e4a818ccfffc18682c1bac15554e3ac | [
"MIT"
] | null | null | null | excel2.py | darkless456/Python | 1ba37d028e4a818ccfffc18682c1bac15554e3ac | [
"MIT"
] | null | null | null | # excel2.py
import xlrd
def print_xls(path):
xlsFile = xlrd.open_workbook(path)
try:
mySheet = xlsFile.sheets()[0] # 访问第1张表序号0 // xlsFile.sheet_by_name('sheetName') 通过工作表名访问
except:
print('no such sheet in file')
return
print('%d rows, %d cols' % (mySheet.nrows, mySheet.ncols)... | 27.194444 | 96 | 0.670072 | 126 | 979 | 4.738095 | 0.579365 | 0.026801 | 0.026801 | 0.050251 | 0.073702 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007634 | 0.19714 | 979 | 35 | 97 | 27.971429 | 0.751908 | 0.091931 | 0 | 0 | 0 | 0 | 0.13438 | 0.052356 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.176471 | 0.294118 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b02f9eadae5afd900218c21f9e3251e4c4f3cf07 | 1,162 | py | Python | reth_buffer/reth_buffer/__init__.py | sosp2021/Reth | 10c032f44a25049355ebdd97a2cb3299e8c3fb82 | [
"MIT"
] | null | null | null | reth_buffer/reth_buffer/__init__.py | sosp2021/Reth | 10c032f44a25049355ebdd97a2cb3299e8c3fb82 | [
"MIT"
] | 1 | 2021-08-10T02:58:58.000Z | 2021-08-10T02:58:58.000Z | reth_buffer/reth_buffer/__init__.py | sosp2021/reth | 10c032f44a25049355ebdd97a2cb3299e8c3fb82 | [
"MIT"
] | null | null | null | import multiprocessing as mp
import portpicker
from .client import Client, NumpyLoader, TorchCudaLoader
from .sampler import PERSampler
from .server.main_loop import main_loop
from .utils import get_local_ip
def start_server(
capacity, batch_size, host=None, port=None, samplers=None, cache_policy=None
):
if... | 23.24 | 81 | 0.645439 | 148 | 1,162 | 4.844595 | 0.391892 | 0.072524 | 0.09484 | 0.066946 | 0.089261 | 0.089261 | 0 | 0 | 0 | 0 | 0 | 0.010333 | 0.25043 | 1,162 | 49 | 82 | 23.714286 | 0.812859 | 0 | 0 | 0.04878 | 0 | 0 | 0.061102 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.146341 | 0 | 0.243902 | 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 |
b02fad481b4d3cb3263f98acf09c40e1f2669bfa | 7,171 | py | Python | agent.py | FlowerForAlgernon/rainbow | 78492ba572e2f8b4b2228d2ca625af94a09ee696 | [
"Apache-2.0"
] | 1 | 2022-03-23T02:02:10.000Z | 2022-03-23T02:02:10.000Z | agent.py | FlowerForAlgernon/rainbow | 78492ba572e2f8b4b2228d2ca625af94a09ee696 | [
"Apache-2.0"
] | null | null | null | agent.py | FlowerForAlgernon/rainbow | 78492ba572e2f8b4b2228d2ca625af94a09ee696 | [
"Apache-2.0"
] | null | null | null | import random
import numpy as np
import torch
import torch.optim as optim
import torch.nn.functional as F
import torchvision.transforms as T
from memory import Transition, ReplayMemory, PrioritizedReplayMemory, NStepMemory
from DQN import DQN, DuelingDQN, NoisyDQN, DistributionalDQN
class Agent:
def __... | 48.452703 | 142 | 0.647748 | 923 | 7,171 | 4.812568 | 0.183099 | 0.043224 | 0.037821 | 0.028366 | 0.352094 | 0.21792 | 0.156911 | 0.147006 | 0.147006 | 0.147006 | 0 | 0.011534 | 0.238321 | 7,171 | 148 | 143 | 48.452703 | 0.801721 | 0.048529 | 0 | 0.107143 | 0 | 0 | 0.0006 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.071429 | 0 | 0.196429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b0370f00352f25c209bf62c39330309ded5b5b35 | 413 | py | Python | xslt/apply.py | carlosduarteroa/smap | 5760631dfaf3e85da26ce68bf542bf254bb92c80 | [
"BSD-2-Clause"
] | 21 | 2015-02-06T21:55:59.000Z | 2021-04-29T11:23:18.000Z | xslt/apply.py | carlosduarteroa/smap | 5760631dfaf3e85da26ce68bf542bf254bb92c80 | [
"BSD-2-Clause"
] | 9 | 2015-02-03T10:41:35.000Z | 2020-02-18T12:46:10.000Z | xslt/apply.py | carlosduarteroa/smap | 5760631dfaf3e85da26ce68bf542bf254bb92c80 | [
"BSD-2-Clause"
] | 20 | 2015-02-06T00:09:19.000Z | 2020-01-10T13:27:06.000Z | """Apply a stylesheet to an XML file"""
import sys
from lxml import etree
if len(sys.argv) != 3:
print >>sys.stderr, "Usage: %s <stylesheet> <xml doc> ..." % sys.argv[0]
sys.exit(1)
transform = etree.XSLT(etree.XML(open(sys.argv[1], "r").read()))
for xmlfile in sys.argv[2:]:
with open(xmlfile, "r") as fp... | 27.533333 | 76 | 0.639225 | 67 | 413 | 3.925373 | 0.597015 | 0.106464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014706 | 0.176755 | 413 | 14 | 77 | 29.5 | 0.758824 | 0.079903 | 0 | 0 | 0 | 0 | 0.101604 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b037c4f526f6d6afd8598b5e5a8cb64d9cc7462a | 7,122 | py | Python | docs/conf.py | vlukes/io3d | 34d048b7f737a5e56610879f6ab103128e8f0750 | [
"MIT"
] | 8 | 2016-09-26T01:35:15.000Z | 2022-02-23T04:05:23.000Z | docs/conf.py | vlukes/io3d | 34d048b7f737a5e56610879f6ab103128e8f0750 | [
"MIT"
] | 4 | 2016-05-18T11:04:56.000Z | 2018-10-24T11:03:03.000Z | docs/conf.py | vlukes/io3d | 34d048b7f737a5e56610879f6ab103128e8f0750 | [
"MIT"
] | 6 | 2017-03-24T20:43:21.000Z | 2021-08-23T06:05:34.000Z | # -*- coding: utf-8 -*-
#
# io3d documentation build configuration file, created by
# sphinx-quickstart on Mon Nov 27 12:01:57 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All ... | 32.226244 | 102 | 0.664139 | 888 | 7,122 | 5.269144 | 0.427928 | 0.010259 | 0.005984 | 0.006412 | 0.089549 | 0.04424 | 0.03847 | 0.022654 | 0.022654 | 0.022654 | 0 | 0.011389 | 0.173968 | 7,122 | 220 | 103 | 32.372727 | 0.783954 | 0.739118 | 0 | 0.030303 | 0 | 0 | 0.294355 | 0 | 0 | 0 | 0 | 0.004545 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.045455 | 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 |
b03a815221b3f33cdcf33d82406be159b843f64d | 2,096 | py | Python | School-Management-System/teachers/views.py | GisaKaze/Python-Quarantine-Projects | 29fabcb7e4046e6f3e9a19403e6d2490fe4b9fc4 | [
"MIT"
] | null | null | null | School-Management-System/teachers/views.py | GisaKaze/Python-Quarantine-Projects | 29fabcb7e4046e6f3e9a19403e6d2490fe4b9fc4 | [
"MIT"
] | null | null | null | School-Management-System/teachers/views.py | GisaKaze/Python-Quarantine-Projects | 29fabcb7e4046e6f3e9a19403e6d2490fe4b9fc4 | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404, redirect
from .models import TeacherInfo
from .forms import CreateTeacher
from django.contrib import messages
from django.core.paginator import Paginator
# Create your views here.
def teacher_list(request):
teachers = TeacherInfo.objects.all()
paginator ... | 30.376812 | 102 | 0.705153 | 243 | 2,096 | 5.888889 | 0.222222 | 0.069182 | 0.067086 | 0.075472 | 0.246681 | 0.132774 | 0.132774 | 0.065688 | 0 | 0 | 0 | 0.004162 | 0.197519 | 2,096 | 68 | 103 | 30.823529 | 0.846611 | 0.010973 | 0 | 0.176471 | 0 | 0 | 0.143961 | 0.052174 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098039 | false | 0 | 0.098039 | 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 |
b043e0116441bcee9ae6a5419079e591b49e7c1e | 3,267 | py | Python | tests/service/test_integer_converter_service.py | NeolithEra/WavesGatewayFramework | e7ba892427e1d0444f2bfdc2922c45ff5f4c4add | [
"MIT"
] | 25 | 2018-03-04T07:49:21.000Z | 2022-03-28T05:20:50.000Z | tests/service/test_integer_converter_service.py | NeolithEra/WavesGatewayFramework | e7ba892427e1d0444f2bfdc2922c45ff5f4c4add | [
"MIT"
] | 22 | 2018-03-25T13:19:45.000Z | 2020-11-28T17:21:08.000Z | tests/service/test_integer_converter_service.py | NeolithEra/WavesGatewayFramework | e7ba892427e1d0444f2bfdc2922c45ff5f4c4add | [
"MIT"
] | 31 | 2018-03-25T09:45:13.000Z | 2022-03-24T05:32:18.000Z | import unittest
from unittest.mock import patch
from waves_gateway.model import Transaction, TransactionReceiver
from waves_gateway.service import IntegerConverterService
class IntegerConverterServiceSpec(unittest.TestCase):
@patch.multiple( # type: ignore
IntegerConverterService, __abstractmethods__=s... | 37.551724 | 94 | 0.67034 | 338 | 3,267 | 6.136095 | 0.186391 | 0.08486 | 0.154291 | 0.150434 | 0.721794 | 0.674542 | 0.6027 | 0.461909 | 0.417551 | 0.367406 | 0 | 0.056818 | 0.245791 | 3,267 | 86 | 95 | 37.988372 | 0.784903 | 0.003673 | 0 | 0.5 | 0 | 0 | 0.053797 | 0.026745 | 0 | 0 | 0 | 0 | 0.109375 | 1 | 0.140625 | false | 0 | 0.0625 | 0.03125 | 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 |
b044475c3b8a25898a8527a87ed6dc1d9dadbb1d | 6,670 | py | Python | live_demo.py | GerryZhang7/ASL-Translator- | 3963311d8dd1f010ee5a19b3760b451bc287ab1e | [
"MIT"
] | null | null | null | live_demo.py | GerryZhang7/ASL-Translator- | 3963311d8dd1f010ee5a19b3760b451bc287ab1e | [
"MIT"
] | null | null | null | live_demo.py | GerryZhang7/ASL-Translator- | 3963311d8dd1f010ee5a19b3760b451bc287ab1e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
LIVE DEMO
This script loads a pre-trained model (for best results use pre-trained weights for classification block)
and classifies American Sign Language finger spelling frame-by-frame in real-time
"""
import string
import cv2
import time
from processing import square... | 33.517588 | 105 | 0.553373 | 831 | 6,670 | 4.340554 | 0.318893 | 0.024951 | 0.037427 | 0.047408 | 0.324369 | 0.275575 | 0.259218 | 0.242584 | 0.242584 | 0.242584 | 0 | 0.068587 | 0.302699 | 6,670 | 198 | 106 | 33.686869 | 0.706945 | 0.214843 | 0 | 0.238938 | 0 | 0 | 0.072739 | 0.005898 | 0 | 0 | 0.000874 | 0 | 0.00885 | 1 | 0 | false | 0 | 0.061947 | 0 | 0.061947 | 0.00885 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b044b434998843e21fedc472b72d6aa6d023641a | 8,770 | py | Python | prob2020/python/gene_sequence.py | KarchinLab/probabilistic2020 | 8e0b1b9578bd8189b1690dd2f17476c3305b98dc | [
"Apache-2.0"
] | 8 | 2016-04-30T03:26:40.000Z | 2021-09-17T04:47:08.000Z | prob2020/python/gene_sequence.py | KarchinLab/probabilistic2020 | 8e0b1b9578bd8189b1690dd2f17476c3305b98dc | [
"Apache-2.0"
] | 9 | 2016-08-18T15:19:04.000Z | 2019-07-17T18:16:52.000Z | prob2020/python/gene_sequence.py | KarchinLab/probabilistic2020 | 8e0b1b9578bd8189b1690dd2f17476c3305b98dc | [
"Apache-2.0"
] | 7 | 2016-10-19T03:43:42.000Z | 2021-07-31T02:40:20.000Z | """Fetches gene sequence from gene fasta created by extract_genes.py"""
import prob2020.python.utils as utils
class GeneSequence(object):
def __init__(self, fasta_obj,
nuc_context=1.5):
self.fasta = fasta_obj
self.nuc_context = nuc_context
def set_gene(self, bed_line):
... | 34.801587 | 89 | 0.55382 | 1,125 | 8,770 | 4.113778 | 0.163556 | 0.022688 | 0.010372 | 0.015557 | 0.440147 | 0.415298 | 0.394987 | 0.357822 | 0.32325 | 0.32325 | 0 | 0.015946 | 0.356442 | 8,770 | 251 | 90 | 34.940239 | 0.80404 | 0.337856 | 0 | 0.356522 | 0 | 0 | 0.03378 | 0.008681 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078261 | false | 0.008696 | 0.008696 | 0 | 0.130435 | 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 |
b04538316ec8e7dec6961b4c00010c7027a8e97d | 1,118 | py | Python | src/main/python/request/http_request.py | photowey/pytest-dynamic-framework | 4e7b6d74594191006b50831d42e7aae21e154d56 | [
"Apache-2.0"
] | null | null | null | src/main/python/request/http_request.py | photowey/pytest-dynamic-framework | 4e7b6d74594191006b50831d42e7aae21e154d56 | [
"Apache-2.0"
] | null | null | null | src/main/python/request/http_request.py | photowey/pytest-dynamic-framework | 4e7b6d74594191006b50831d42e7aae21e154d56 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# ---------------------------------------------
# @file http_request
# @description http_request
# @author WcJun
# @date 2021/07/19
# ---------------------------------------------
from src.main.python.request.options import RequestOptions
class HttpRequest:
"""
Http Request
"""
... | 29.421053 | 92 | 0.573345 | 115 | 1,118 | 5.4 | 0.469565 | 0.112721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012821 | 0.232558 | 1,118 | 37 | 93 | 30.216216 | 0.710956 | 0.18068 | 0 | 0 | 0 | 0 | 0.003356 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.263158 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b04682256b68f1be1d146f950d4cf5cacbc05399 | 5,728 | py | Python | bot/helper/mirror_utils/download_utils/aria2_download.py | vincreator/Eunha | 85a702a5b5f30ccea1798122c261d4ff07fe0c0c | [
"Apache-2.0"
] | null | null | null | bot/helper/mirror_utils/download_utils/aria2_download.py | vincreator/Eunha | 85a702a5b5f30ccea1798122c261d4ff07fe0c0c | [
"Apache-2.0"
] | null | null | null | bot/helper/mirror_utils/download_utils/aria2_download.py | vincreator/Eunha | 85a702a5b5f30ccea1798122c261d4ff07fe0c0c | [
"Apache-2.0"
] | null | null | null | from time import sleep
from threading import Thread
from bot import aria2, download_dict_lock, download_dict, STOP_DUPLICATE, TORRENT_DIRECT_LIMIT, ZIP_UNZIP_LIMIT, LOGGER, STORAGE_THRESHOLD
from bot.helper.mirror_utils.upload_utils.gdriveTools import GoogleDriveHelper
from bot.helper.ext_utils.bot_utils import is_mag... | 46.569106 | 138 | 0.618191 | 648 | 5,728 | 5.265432 | 0.233025 | 0.053341 | 0.036928 | 0.025791 | 0.251759 | 0.137456 | 0.085873 | 0.075615 | 0.025791 | 0.025791 | 0 | 0.004666 | 0.289106 | 5,728 | 122 | 139 | 46.95082 | 0.833251 | 0.010999 | 0 | 0.232143 | 0 | 0 | 0.118665 | 0.018541 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0.017857 | 0.071429 | 0 | 0.169643 | 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 |
b047b2781fee7bef3205107d3cc7277c6707a880 | 3,407 | py | Python | gol.py | AjayMT/game-of-life | 681bb92e1d7c0644645af7b77f0106ba2d4c9c20 | [
"MIT"
] | null | null | null | gol.py | AjayMT/game-of-life | 681bb92e1d7c0644645af7b77f0106ba2d4c9c20 | [
"MIT"
] | null | null | null | gol.py | AjayMT/game-of-life | 681bb92e1d7c0644645af7b77f0106ba2d4c9c20 | [
"MIT"
] | null | null | null |
import pygame
from pygame.locals import *
from pygamehelper import *
from vec2d import *
from random import randrange
class Matrix:
def __init__(self, w, h):
self.w, self.h = w, h
self._data = []
for i in range(self.w * self.h):
self._data.append(None)
def __getitem__(se... | 27.039683 | 70 | 0.502495 | 494 | 3,407 | 3.402834 | 0.172065 | 0.074955 | 0.042832 | 0.023795 | 0.15586 | 0.060678 | 0 | 0 | 0 | 0 | 0 | 0.026147 | 0.360141 | 3,407 | 125 | 71 | 27.256 | 0.744954 | 0 | 0 | 0.086022 | 0 | 0 | 0.019378 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.139785 | false | 0 | 0.053763 | 0.032258 | 0.268817 | 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 |
b04cbd151462272c28fb0ccf978f4c3ccbb776cd | 11,913 | py | Python | frontend/alexa/alexa.py | jjanetzki/HackHPI-2017 | 5345a4b385b92dff8b665818127e85eb1e14b31f | [
"MIT"
] | 1 | 2017-06-17T18:18:55.000Z | 2017-06-17T18:18:55.000Z | frontend/alexa/alexa.py | janetzki/Productivity-Bot | 5345a4b385b92dff8b665818127e85eb1e14b31f | [
"MIT"
] | null | null | null | frontend/alexa/alexa.py | janetzki/Productivity-Bot | 5345a4b385b92dff8b665818127e85eb1e14b31f | [
"MIT"
] | null | null | null | """
This code sample is a part of a simple demo to show beginners how to create a skill (app) for the Amazon Echo using AWS Lambda and the Alexa Skills Kit.
For the full code sample visit https://github.com/pmckinney8/Alexa_Dojo_Skill.git
"""
from __future__ import print_function
import requests
import json
alcohol_... | 39.44702 | 242 | 0.697138 | 1,390 | 11,913 | 5.704317 | 0.182014 | 0.062051 | 0.062555 | 0.05297 | 0.565015 | 0.464371 | 0.399168 | 0.388952 | 0.368521 | 0.334468 | 0 | 0.001259 | 0.200201 | 11,913 | 301 | 243 | 39.578073 | 0.830919 | 0.118526 | 0 | 0.366667 | 0 | 0.004762 | 0.218771 | 0.009278 | 0 | 0 | 0 | 0.003322 | 0 | 1 | 0.1 | false | 0 | 0.014286 | 0.009524 | 0.271429 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b04d338c3d1c16a12edd8387b7d2185efd9aed7b | 474 | py | Python | day1.py | kdrag0n/aoc2021 | 469bd861a7d7c0add14412a705ec4cb1e1b5a10f | [
"MIT"
] | 2 | 2021-12-04T21:15:14.000Z | 2021-12-12T09:28:28.000Z | day1.py | kdrag0n/aoc2021 | 469bd861a7d7c0add14412a705ec4cb1e1b5a10f | [
"MIT"
] | null | null | null | day1.py | kdrag0n/aoc2021 | 469bd861a7d7c0add14412a705ec4cb1e1b5a10f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
def ints(itr):
return [int(i) for i in itr]
with open(sys.argv[1], "r") as f:
lines = [l for l in f.read().split("\n") if l]
ilist = []
imap = {}
total = 0
result = 0
other = 0
last = -1
while True:
for l in lines:
val = int(l.split()[0])
if last !... | 12.810811 | 50 | 0.529536 | 79 | 474 | 3.177215 | 0.506329 | 0.071713 | 0.047809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026946 | 0.295359 | 474 | 36 | 51 | 13.166667 | 0.724551 | 0.044304 | 0 | 0 | 0 | 0 | 0.103982 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.047619 | 0.047619 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b04f12eb656c69facb8b7d0c196d013597b90eb0 | 11,920 | py | Python | esst/utils/historygraph.py | etcher-be/esst | ac41cd0c07af8ca8532997f533756c529c9609a4 | [
"MIT"
] | 4 | 2018-06-24T14:03:44.000Z | 2019-01-21T01:20:02.000Z | esst/utils/historygraph.py | etcher-be/esst | ac41cd0c07af8ca8532997f533756c529c9609a4 | [
"MIT"
] | 106 | 2018-06-24T13:59:52.000Z | 2019-11-26T09:05:14.000Z | esst/utils/historygraph.py | theendsofinvention/esst | ac41cd0c07af8ca8532997f533756c529c9609a4 | [
"MIT"
] | null | null | null | # coding=utf-8
"""
Creates graphic of perfs
"""
import datetime
import typing
from collections import namedtuple
from tempfile import mktemp
import humanize
from esst.core import CTX
PLT = GRID_SPEC = TICKER = None
# https://stackoverflow.com/questions/4931376/generating-matplotlib-graphs-without-a-running-x-serv... | 32.747253 | 117 | 0.640017 | 1,508 | 11,920 | 4.723475 | 0.169761 | 0.030886 | 0.031588 | 0.033974 | 0.458655 | 0.38846 | 0.325284 | 0.265057 | 0.233329 | 0.224344 | 0 | 0.013602 | 0.266023 | 11,920 | 363 | 118 | 32.837466 | 0.800549 | 0.163926 | 0 | 0.174089 | 0 | 0 | 0.035455 | 0.005109 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060729 | false | 0 | 0.040486 | 0.012146 | 0.153846 | 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 |
b04f60f28cbb6155e0266d15a62d61ce814d26c3 | 1,267 | py | Python | 20.valid-parentheses.py | Qianli-Ma/LeetCode | ebda421c3d652adffca5e547a22937bf1726a532 | [
"MIT"
] | null | null | null | 20.valid-parentheses.py | Qianli-Ma/LeetCode | ebda421c3d652adffca5e547a22937bf1726a532 | [
"MIT"
] | null | null | null | 20.valid-parentheses.py | Qianli-Ma/LeetCode | ebda421c3d652adffca5e547a22937bf1726a532 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=20 lang=python3
#
# [20] Valid Parentheses
#
# https://leetcode.com/problems/valid-parentheses/description/
#
# algorithms
# Easy (36.20%)
# Total Accepted: 554.4K
# Total Submissions: 1.5M
# Testcase Example: '"()"'
#
# Given a string containing just the characters '(', ')', '{', '}', '[' a... | 16.454545 | 75 | 0.534333 | 147 | 1,267 | 4.605442 | 0.557823 | 0.081241 | 0.06647 | 0.053176 | 0.070901 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022099 | 0.285714 | 1,267 | 76 | 76 | 16.671053 | 0.725967 | 0.568272 | 0 | 0.153846 | 0 | 0 | 0.012371 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.384615 | 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 |
b05bf40e3728937480f8f42cb9c975d60036475f | 6,911 | py | Python | neptune-python-utils/neptune_python_utils/glue_gremlin_client.py | Alfian878787/amazon-neptune-tools | a447da238e99612a290babc66878fe772727a19e | [
"Apache-2.0"
] | null | null | null | neptune-python-utils/neptune_python_utils/glue_gremlin_client.py | Alfian878787/amazon-neptune-tools | a447da238e99612a290babc66878fe772727a19e | [
"Apache-2.0"
] | null | null | null | neptune-python-utils/neptune_python_utils/glue_gremlin_client.py | Alfian878787/amazon-neptune-tools | a447da238e99612a290babc66878fe772727a19e | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Amazon.com, Inc. or its affiliates.
# 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.
# A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file ac... | 46.073333 | 135 | 0.570395 | 763 | 6,911 | 5.044561 | 0.218873 | 0.031177 | 0.037412 | 0.021824 | 0.665887 | 0.650818 | 0.58171 | 0.58171 | 0.58171 | 0.558846 | 0 | 0.004337 | 0.332658 | 6,911 | 150 | 136 | 46.073333 | 0.830226 | 0.261323 | 0 | 0.68 | 0 | 0 | 0.04578 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09 | false | 0.02 | 0.12 | 0 | 0.26 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b05fe1389ad39d5ec1240e047aa523f2264c0d97 | 343 | py | Python | floyd_warshall/messages/rate_request.py | hrs231/sample-code | 91c2972d1a414397d3505d3b4df9ee80b67bcac0 | [
"MIT"
] | null | null | null | floyd_warshall/messages/rate_request.py | hrs231/sample-code | 91c2972d1a414397d3505d3b4df9ee80b67bcac0 | [
"MIT"
] | null | null | null | floyd_warshall/messages/rate_request.py | hrs231/sample-code | 91c2972d1a414397d3505d3b4df9ee80b67bcac0 | [
"MIT"
] | null | null | null |
class RateRequest(object):
"""" Used by Price Engine Clients to query the Price Engine """
def __init__(self, exch_1, curr_1, exch_2, curr_2):
self.exch_1 = exch_1
self.curr_1 = curr_1
self.exch_2 = exch_2
self.curr_2 = curr_2
self.rate = 0
self.path = []
... | 28.583333 | 67 | 0.594752 | 53 | 343 | 3.528302 | 0.45283 | 0.128342 | 0.096257 | 0.106952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054852 | 0.309038 | 343 | 12 | 68 | 28.583333 | 0.734177 | 0.163265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 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 |
b0618e2deaae21564649c946c7681a44ee75680f | 2,613 | py | Python | backend/app/api/api_v1/router/file/excel_tool.py | PY-GZKY/fastapi-crawl-admin | 6535054994d11e3c31b4caeae65e8fa0f495d2b7 | [
"MIT"
] | 13 | 2021-07-25T15:26:04.000Z | 2022-03-02T12:12:02.000Z | backend/app/api/api_v1/router/file/excel_tool.py | PY-GZKY/fastapi-crawl-admin | 6535054994d11e3c31b4caeae65e8fa0f495d2b7 | [
"MIT"
] | 1 | 2021-07-26T03:26:09.000Z | 2021-07-26T09:05:38.000Z | backend/app/api/api_v1/router/file/excel_tool.py | PY-GZKY/fastapi-crawl-admin | 6535054994d11e3c31b4caeae65e8fa0f495d2b7 | [
"MIT"
] | 3 | 2021-07-26T01:44:24.000Z | 2021-07-31T14:31:49.000Z | # -*- coding: utf-8 -*
# @Time : 2020/12/22 15:58
from fastapi import Depends
from motor.motor_asyncio import AsyncIOMotorClient
from app.api.db.mongoDB import get_database
import pandas as pd
import numpy as np
from io import BytesIO
class ExcelTools:
def __init__(self, columns_map=None, order=None):
... | 25.871287 | 87 | 0.564485 | 313 | 2,613 | 4.571885 | 0.450479 | 0.083857 | 0.068484 | 0.02935 | 0.075472 | 0.041929 | 0.041929 | 0 | 0 | 0 | 0 | 0.01168 | 0.311902 | 2,613 | 101 | 88 | 25.871287 | 0.784205 | 0.168006 | 0 | 0.083333 | 0 | 0 | 0.025292 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.020833 | 0.125 | 0 | 0.3125 | 0.020833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b0619b37fbd880320070eeeb51552bb149486090 | 1,164 | py | Python | Lab8/1 + 2 (Simple socket server)/simple_client.py | marianfx/python-labs | 7066db410ad19cababb7b66745641e65a28ccd98 | [
"MIT"
] | null | null | null | Lab8/1 + 2 (Simple socket server)/simple_client.py | marianfx/python-labs | 7066db410ad19cababb7b66745641e65a28ccd98 | [
"MIT"
] | null | null | null | Lab8/1 + 2 (Simple socket server)/simple_client.py | marianfx/python-labs | 7066db410ad19cababb7b66745641e65a28ccd98 | [
"MIT"
] | null | null | null | """Simple socket client for the simple socket client."""
import sys
import socket
import time
SOCKET_ADDRESS = "127.0.0.1"
SOCKET_PORT = 6996
def build_client_tcp(address: str, port: int):
"""Builds the TCP client."""
try:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect(... | 28.390244 | 98 | 0.649485 | 165 | 1,164 | 4.412121 | 0.381818 | 0.048077 | 0.049451 | 0.046703 | 0.104396 | 0.104396 | 0.104396 | 0.104396 | 0 | 0 | 0 | 0.017758 | 0.225945 | 1,164 | 40 | 99 | 29.1 | 0.790233 | 0.082474 | 0 | 0 | 0 | 0 | 0.165399 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.1 | 0 | 0.166667 | 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 |
b062b0f29115369104d664570dbb03f1de934fe3 | 2,689 | py | Python | 009/app.py | ilos-vigil/random-script | bf8d45196d4faa6912dc0469a86b8370f43ce7ac | [
"MIT"
] | null | null | null | 009/app.py | ilos-vigil/random-script | bf8d45196d4faa6912dc0469a86b8370f43ce7ac | [
"MIT"
] | null | null | null | 009/app.py | ilos-vigil/random-script | bf8d45196d4faa6912dc0469a86b8370f43ce7ac | [
"MIT"
] | null | null | null | import bs4
import nltk
import json
import re
import requests
with open('./acronym_abbreviation_id.json', 'r') as f:
data = f.read()
list_acronym_abbreviation = json.loads(data)
from_wikipedia = False
if from_wikipedia:
# Take text with Indonesian language from Wikipedia randomly
html = requests.get('h... | 38.414286 | 430 | 0.661584 | 386 | 2,689 | 4.53886 | 0.367876 | 0.050228 | 0.020548 | 0.017123 | 0.214612 | 0.174658 | 0.025114 | 0.025114 | 0 | 0 | 0 | 0.010314 | 0.170695 | 2,689 | 69 | 431 | 38.971014 | 0.769058 | 0.144663 | 0 | 0.08 | 0 | 0.02 | 0.297155 | 0.022319 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0.06 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b062c54e4119bba9afb9e6fce3e62bb1a445400e | 2,295 | py | Python | graphs/page_rank.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | null | null | null | graphs/page_rank.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | null | null | null | graphs/page_rank.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | 1 | 2020-06-26T09:46:17.000Z | 2020-06-26T09:46:17.000Z | '''THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND
NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR ANYONE
DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY DAMAGES OR OT... | 25.21978 | 74 | 0.616122 | 301 | 2,295 | 4.624585 | 0.408638 | 0.031609 | 0.006466 | 0.030172 | 0.076868 | 0.043103 | 0 | 0 | 0 | 0 | 0 | 0.042966 | 0.259695 | 2,295 | 90 | 75 | 25.5 | 0.776339 | 0.326797 | 0 | 0.071429 | 0 | 0 | 0.083866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0.02381 | 0.190476 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b064ac81a6a14605eca93bb63e07f0834ed4309a | 1,147 | py | Python | lairgpt/utils/assets.py | lightonai/lairgpt | 7580e1339a39662b2ff636d158c36195eb7fe3fb | [
"MIT"
] | 19 | 2021-05-04T13:54:45.000Z | 2022-01-05T15:45:12.000Z | lairgpt/utils/assets.py | lightonai/lairgpt | 7580e1339a39662b2ff636d158c36195eb7fe3fb | [
"MIT"
] | null | null | null | lairgpt/utils/assets.py | lightonai/lairgpt | 7580e1339a39662b2ff636d158c36195eb7fe3fb | [
"MIT"
] | 1 | 2021-05-28T15:25:12.000Z | 2021-05-28T15:25:12.000Z | from enum import Enum
from os.path import expanduser
from lairgpt.utils.remote import local_dir
class Config(Enum):
"""Settings for preconfigured models instances
"""
SMALL = {
"d_model": 768,
"n_heads": 12,
"n_layers": 12,
"vocab_size": 50262,
"max_seq_len": 1024
... | 23.408163 | 60 | 0.558849 | 135 | 1,147 | 4.518519 | 0.377778 | 0.078689 | 0.091803 | 0.111475 | 0.265574 | 0.265574 | 0.265574 | 0.177049 | 0.177049 | 0.177049 | 0 | 0.085459 | 0.316478 | 1,147 | 48 | 61 | 23.895833 | 0.692602 | 0.133391 | 0 | 0.358974 | 0 | 0 | 0.232271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.384615 | 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 |
b0651029340e768b51b715881e03f9826ce6837f | 1,546 | py | Python | smart_open/__init__.py | DataTron-io/smart_open | 3565eff8f0ffe19d7fd31063753384e0084fb1e0 | [
"MIT"
] | 1 | 2020-09-28T06:47:58.000Z | 2020-09-28T06:47:58.000Z | smart_open/__init__.py | DataTron-io/smart_open | 3565eff8f0ffe19d7fd31063753384e0084fb1e0 | [
"MIT"
] | null | null | null | smart_open/__init__.py | DataTron-io/smart_open | 3565eff8f0ffe19d7fd31063753384e0084fb1e0 | [
"MIT"
] | null | null | null | import shutil
from .smart_open_lib import *
DEFAULT_CHUNKSIZE = 16*1024*1024 # 16mb
def copy_file(src, dest, close_src=True, close_dest=True, make_path=False):
"""
Copies file from src to dest. Supports s3 and webhdfs (does not include kerberos support)
If src does not exist, a FileNotFoundError is rais... | 34.355556 | 138 | 0.679172 | 233 | 1,546 | 4.360515 | 0.377682 | 0.055118 | 0.027559 | 0.031496 | 0.098425 | 0.098425 | 0 | 0 | 0 | 0 | 0 | 0.010943 | 0.231565 | 1,546 | 44 | 139 | 35.136364 | 0.844276 | 0.335058 | 0 | 0.08 | 0 | 0 | 0.12753 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.08 | 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 |
b068470f8ca662453890dee9ded5d2a25fb6fcdd | 4,706 | py | Python | guacozy_server/backend/api/utils.py | yinm8315/guacozy-django-react | 99a8270cb660052d3b4868b7959a5750968d9cc3 | [
"MIT"
] | 121 | 2019-10-28T09:23:05.000Z | 2022-03-19T00:30:36.000Z | guacozy_server/backend/api/utils.py | peppelinux/guacozy | ff4ca3fae8b9a5cb379a7a73d39f0d0ea8b6521c | [
"MIT"
] | 43 | 2019-10-28T09:22:59.000Z | 2022-03-18T23:01:25.000Z | guacozy_server/backend/api/utils.py | peppelinux/guacozy | ff4ca3fae8b9a5cb379a7a73d39f0d0ea8b6521c | [
"MIT"
] | 44 | 2019-11-05T01:58:05.000Z | 2022-03-30T08:05:18.000Z | import rules
from backend.models import Folder
def add_folder_to_tree_dictionary(folder, resulting_set, include_ancestors=False):
"""
Adds folder, folder's ancestors and folder's descendants
Ancestors are needed to build the traverse path in tree view
Descendants are needed because user has permissi... | 36.765625 | 115 | 0.698683 | 626 | 4,706 | 5.028754 | 0.167732 | 0.05432 | 0.120076 | 0.063532 | 0.401842 | 0.327192 | 0.260801 | 0.241423 | 0.226811 | 0.203939 | 0 | 0 | 0.236507 | 4,706 | 127 | 116 | 37.055118 | 0.876148 | 0.379728 | 0 | 0.057692 | 0 | 0 | 0.023671 | 0.007647 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.038462 | 0 | 0.192308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b06a64034b02fc50eab6da81b27b39ddfc4affcc | 348 | py | Python | web/services/device-service/src/app.py | fhgrings/match-io | 0acb0b006ae8d8073f1d148e80275a568c2517ae | [
"MIT"
] | null | null | null | web/services/device-service/src/app.py | fhgrings/match-io | 0acb0b006ae8d8073f1d148e80275a568c2517ae | [
"MIT"
] | null | null | null | web/services/device-service/src/app.py | fhgrings/match-io | 0acb0b006ae8d8073f1d148e80275a568c2517ae | [
"MIT"
] | null | null | null | from flask import Flask
from flask_cors import CORS
from src.ext import configuration
def minimal_app(**config):
app = Flask(__name__)
configuration.init_app(app, **config)
CORS(app)
return app
def create_app(**config):
app = minimal_app(**config)
configuration.load_extension... | 19.333333 | 42 | 0.672414 | 44 | 348 | 5.090909 | 0.386364 | 0.160714 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.241379 | 348 | 18 | 43 | 19.333333 | 0.848485 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.25 | 0 | 0.583333 | 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 |
b06d15947556e9e4b04c29a89022d993e3d2bccf | 4,357 | py | Python | src/face_utils/save_figure.py | hankyul2/FaceDA | 73006327df3668923d4206f81d4976ca1240329d | [
"Apache-2.0"
] | null | null | null | src/face_utils/save_figure.py | hankyul2/FaceDA | 73006327df3668923d4206f81d4976ca1240329d | [
"Apache-2.0"
] | null | null | null | src/face_utils/save_figure.py | hankyul2/FaceDA | 73006327df3668923d4206f81d4976ca1240329d | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import albumentations as A
from pathlib import Path
import torch
from torch import nn
from src_backup.cdan import get_model
from src.backbone.iresnet import get_arcface_backbone
class MyModel(nn.Module):
def __init__(self, backbo... | 36.008264 | 116 | 0.627037 | 593 | 4,357 | 4.448567 | 0.261383 | 0.026535 | 0.026535 | 0.031842 | 0.191433 | 0.144807 | 0.134193 | 0.112206 | 0.075815 | 0.075815 | 0 | 0.036665 | 0.223778 | 4,357 | 121 | 116 | 36.008264 | 0.743347 | 0 | 0 | 0.221154 | 0 | 0 | 0.078935 | 0.018128 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.096154 | 0 | 0.230769 | 0.019231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b070934d7222c882ff718596c5213477b01b49fc | 2,481 | py | Python | tests/unit/tests_standard_lib/tests_sample_generation/test_time_parser.py | monishshah18/pytest-splunk-addon | 1600f2c7d30ec304e9855642e63511780556b406 | [
"Apache-2.0"
] | 39 | 2020-06-09T17:37:21.000Z | 2022-02-08T01:57:35.000Z | tests/unit/tests_standard_lib/tests_sample_generation/test_time_parser.py | monishshah18/pytest-splunk-addon | 1600f2c7d30ec304e9855642e63511780556b406 | [
"Apache-2.0"
] | 372 | 2020-04-15T13:55:09.000Z | 2022-03-31T17:14:56.000Z | tests/unit/tests_standard_lib/tests_sample_generation/test_time_parser.py | isabella232/pytest-splunk-addon | 5e6ae2b47df7a1feb6f358bbbd1f02197b5024f6 | [
"Apache-2.0"
] | 22 | 2020-05-06T10:43:45.000Z | 2022-03-16T15:50:08.000Z | import pytest
from datetime import datetime
from freezegun import freeze_time
from pytest_splunk_addon.standard_lib.sample_generation.time_parser import (
time_parse,
)
@pytest.fixture(scope="session")
def tp():
return time_parse()
def generate_parameters():
result = []
for s in ("s", "sec", "secs"... | 37.590909 | 80 | 0.523176 | 343 | 2,481 | 3.71137 | 0.323615 | 0.150825 | 0.091909 | 0.098979 | 0.115475 | 0.089552 | 0.089552 | 0 | 0 | 0 | 0 | 0.150707 | 0.25917 | 2,481 | 65 | 81 | 38.169231 | 0.541893 | 0 | 0 | 0 | 0 | 0 | 0.116888 | 0.010077 | 0 | 0 | 0 | 0 | 0.035088 | 1 | 0.070175 | false | 0 | 0.070175 | 0.017544 | 0.192982 | 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 |
c660dc00601aa00fc2df39ad1285ba2cbf2bab57 | 3,426 | py | Python | recbole/utils/inferred_lm.py | ghazalehnt/RecBole | f1219847005e2c8d72b8c3cd5c49a138fe83276d | [
"MIT"
] | null | null | null | recbole/utils/inferred_lm.py | ghazalehnt/RecBole | f1219847005e2c8d72b8c3cd5c49a138fe83276d | [
"MIT"
] | null | null | null | recbole/utils/inferred_lm.py | ghazalehnt/RecBole | f1219847005e2c8d72b8c3cd5c49a138fe83276d | [
"MIT"
] | null | null | null | import time
import torch
from recbole.config import Config
from recbole.utils import get_model, init_seed
import gensim
import gensim.downloader as api
from recbole.data import create_dataset, data_preparation
import numpy as np
URL_FIELD = "item_url"
class ItemLM:
def __init__(self, checkpoint_file, model_name,... | 40.305882 | 140 | 0.613543 | 473 | 3,426 | 4.150106 | 0.264271 | 0.042792 | 0.020377 | 0.028018 | 0.057565 | 0.042282 | 0.030565 | 0.030565 | 0.030565 | 0.030565 | 0 | 0.008495 | 0.278459 | 3,426 | 84 | 141 | 40.785714 | 0.785599 | 0.011384 | 0 | 0.054054 | 0 | 0 | 0.047858 | 0.006499 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0.013514 | 0.108108 | 0.013514 | 0.162162 | 0.067568 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6690d881a99354cf92a13a7b705df947e112eb1 | 5,009 | py | Python | menu.py | kokohi28/stock-prediction | 82d18cbb6366d522a01252e0cdc6eafa9fffea6d | [
"MIT"
] | 11 | 2020-06-15T12:38:57.000Z | 2021-12-08T13:34:28.000Z | menu.py | kokohi28/stock-prediction | 82d18cbb6366d522a01252e0cdc6eafa9fffea6d | [
"MIT"
] | null | null | null | menu.py | kokohi28/stock-prediction | 82d18cbb6366d522a01252e0cdc6eafa9fffea6d | [
"MIT"
] | 5 | 2020-12-17T16:58:36.000Z | 2022-02-08T09:29:28.000Z | import os
import const as CONST
from datetime import datetime
# Const
MENU_ROOT = 0
MENU_SPECIFY_DATE = 1
MENU_SPECIFY_PERCENT_TRAINED = 2
currMenu = MENU_ROOT
stockList = ['AAPL', '^DJI', '^HSI', '^GSPC']
def welcomeMessage():
print('##############################################################################'... | 27.075676 | 89 | 0.502296 | 467 | 5,009 | 5.342612 | 0.301927 | 0.033667 | 0.042084 | 0.050501 | 0.340681 | 0.291784 | 0.228457 | 0.228457 | 0.202806 | 0.132265 | 0 | 0.027151 | 0.345578 | 5,009 | 185 | 90 | 27.075676 | 0.733984 | 0.023558 | 0 | 0.503356 | 0 | 0 | 0.287851 | 0.036263 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060403 | false | 0.013423 | 0.020134 | 0 | 0.194631 | 0.201342 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6692746527064fc0f46c5e36e6e97f09870ae4f | 3,410 | py | Python | demo/infinity/triton_client.py | dumpmemory/transformer-deploy | 36993d8dd53c7440e49dce36c332fa4cc08cf9fb | [
"Apache-2.0"
] | 698 | 2021-11-22T17:42:40.000Z | 2022-03-31T11:16:08.000Z | demo/infinity/triton_client.py | dumpmemory/transformer-deploy | 36993d8dd53c7440e49dce36c332fa4cc08cf9fb | [
"Apache-2.0"
] | 38 | 2021-11-23T13:45:04.000Z | 2022-03-31T10:36:45.000Z | demo/infinity/triton_client.py | dumpmemory/transformer-deploy | 36993d8dd53c7440e49dce36c332fa4cc08cf9fb | [
"Apache-2.0"
] | 58 | 2021-11-24T11:46:21.000Z | 2022-03-29T08:45:16.000Z | # Copyright 2022, Lefebvre Dalloz Services
#
# 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 ag... | 46.712329 | 117 | 0.72346 | 458 | 3,410 | 5.20524 | 0.469432 | 0.045302 | 0.058725 | 0.037752 | 0.171141 | 0.171141 | 0.171141 | 0.171141 | 0.118289 | 0.118289 | 0 | 0.017248 | 0.183871 | 3,410 | 72 | 118 | 47.361111 | 0.839382 | 0.202346 | 0 | 0.085106 | 0 | 0 | 0.280059 | 0.012579 | 0 | 0 | 0 | 0 | 0.021277 | 1 | 0 | false | 0 | 0.085106 | 0 | 0.085106 | 0.06383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c66969c34948d04bc70f6e069bd8dabc5e27f5b6 | 2,361 | py | Python | mf/knnbased.py | waashk/extended-pipeline | 1f8cdfcd1530a9dd502ea0d76d89b5010d19daf7 | [
"MIT"
] | null | null | null | mf/knnbased.py | waashk/extended-pipeline | 1f8cdfcd1530a9dd502ea0d76d89b5010d19daf7 | [
"MIT"
] | null | null | null | mf/knnbased.py | waashk/extended-pipeline | 1f8cdfcd1530a9dd502ea0d76d89b5010d19daf7 | [
"MIT"
] | null | null | null |
import numpy as np
from tqdm import tqdm
from scipy.sparse import csr_matrix, hstack, vstack
from sklearn.neighbors import NearestNeighbors
class MFKnn(object):
"""
Implementation of
"""
def __init__(self, metric, k):
self.k = k
self.metric = metric
def fit(self, X, y):
#
self.X_train = X
self.y_tr... | 23.147059 | 105 | 0.647183 | 386 | 2,361 | 3.826425 | 0.243523 | 0.021666 | 0.033852 | 0.037915 | 0.280298 | 0.212593 | 0.131347 | 0.131347 | 0.131347 | 0.131347 | 0 | 0.020419 | 0.191021 | 2,361 | 101 | 106 | 23.376238 | 0.75288 | 0.047861 | 0 | 0.065574 | 0 | 0 | 0.00764 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.065574 | 0.016393 | 0.196721 | 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 |
c66bd961fbf8bcb3556ef3c4fc46854f04ab9b95 | 581 | py | Python | general-practice/Exercises solved/codingbat/Warmup2/string_match.py | lugabrielbueno/Projeto | f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0 | [
"MIT"
] | null | null | null | general-practice/Exercises solved/codingbat/Warmup2/string_match.py | lugabrielbueno/Projeto | f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0 | [
"MIT"
] | null | null | null | general-practice/Exercises solved/codingbat/Warmup2/string_match.py | lugabrielbueno/Projeto | f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0 | [
"MIT"
] | null | null | null | #Given 2 strings, a and b, return the number of the positions where they contain the same length 2 substring. So "xxcaazz" and "xxbaaz" yields 3, since the "xx", "aa", and "az" substrings appear in the same place in both strings.
#string_match('xxcaazz', 'xxbaaz') → 3
#string_match('abc', 'abc') → 2
#string_match('abc... | 34.176471 | 229 | 0.593804 | 105 | 581 | 3.27619 | 0.447619 | 0.127907 | 0.034884 | 0.023256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029954 | 0.253012 | 581 | 16 | 230 | 36.3125 | 0.75576 | 0.55938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 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 |
c66f914aa66ae752fa396361357e16cd39293db5 | 10,951 | py | Python | courses/views.py | mdavoodi/konkourse-python | 50f2904e7bbb31f00c4dd66fb55cd644ea3c4eee | [
"MIT"
] | 4 | 2015-06-23T22:17:50.000Z | 2019-01-17T21:32:02.000Z | courses/views.py | mdavoodi/konkourse-python | 50f2904e7bbb31f00c4dd66fb55cd644ea3c4eee | [
"MIT"
] | null | null | null | courses/views.py | mdavoodi/konkourse-python | 50f2904e7bbb31f00c4dd66fb55cd644ea3c4eee | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect, render_to_response
from django.template.context import RequestContext
from account.views import login
from models import Course
from website.views import index
from forms import CourseForm, CourseInitialForm
from account.util import createImage
from django.core.context_pro... | 37.892734 | 116 | 0.649621 | 1,250 | 10,951 | 5.504 | 0.1512 | 0.052326 | 0.050145 | 0.028779 | 0.440698 | 0.408866 | 0.334884 | 0.257703 | 0.20814 | 0.184157 | 0 | 0.00303 | 0.246462 | 10,951 | 288 | 117 | 38.024306 | 0.830708 | 0 | 0 | 0.320158 | 0 | 0 | 0.07287 | 0.027303 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067194 | false | 0 | 0.083004 | 0 | 0.29249 | 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 |
c67157381752f709d6b39cd4632427d8936411ad | 2,701 | py | Python | rx/operators/observable/delaywithselector.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2018-11-16T09:07:13.000Z | 2018-11-16T09:07:13.000Z | rx/operators/observable/delaywithselector.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | rx/operators/observable/delaywithselector.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-05-08T08:23:08.000Z | 2020-05-08T08:23:08.000Z | from rx.core import ObservableBase, AnonymousObservable, typing
from rx.disposables import CompositeDisposable, \
SingleAssignmentDisposable, SerialDisposable
def delay_with_selector(self, subscription_delay=None,
delay_duration_mapper=None) -> ObservableBase:
"""Time shifts the observ... | 32.154762 | 108 | 0.585339 | 265 | 2,701 | 5.8 | 0.301887 | 0.045543 | 0.039037 | 0.03123 | 0.178269 | 0.106701 | 0.106701 | 0.106701 | 0.065062 | 0 | 0 | 0.00734 | 0.344317 | 2,701 | 83 | 109 | 32.542169 | 0.860531 | 0.226953 | 0 | 0.215686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.156863 | false | 0 | 0.039216 | 0 | 0.254902 | 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 |
c6715e41c59947802aabe44b258270730dfcbb52 | 719 | py | Python | w2/palindrome.py | connorw72/connorapcsptri3 | 2e885644ed2a8d478e5ce193f94b02ad03c6e6b3 | [
"MIT"
] | null | null | null | w2/palindrome.py | connorw72/connorapcsptri3 | 2e885644ed2a8d478e5ce193f94b02ad03c6e6b3 | [
"MIT"
] | 3 | 2022-03-14T21:10:05.000Z | 2022-03-28T21:11:17.000Z | w2/palindrome.py | connorw72/connorapcsptri3 | 2e885644ed2a8d478e5ce193f94b02ad03c6e6b3 | [
"MIT"
] | 2 | 2022-03-10T06:11:11.000Z | 2022-03-11T06:11:11.000Z | class Palindrome:
def __init__(self, test):
self.test = test
def __call__(self):
test_strip = list([n for n in self.test if n.isalpha() or n.isnumeric()])
self.test = "".join(test_strip)
self.test = self.test.lower()
#Test to see if the phrase/word is a palindrome
... | 31.26087 | 81 | 0.585535 | 100 | 719 | 4.09 | 0.47 | 0.176039 | 0.08802 | 0.117359 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001965 | 0.292072 | 719 | 23 | 82 | 31.26087 | 0.801572 | 0.126565 | 0 | 0 | 0 | 0 | 0.137161 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0 | 0 | 0.315789 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c672a5daf5acf1852874d76a788a6d4edc536ca3 | 3,890 | py | Python | sat-competition-2018/xof-state/sha3-xof.py | cipherboy/sat | 65cbcebf03ffdfd64d49359ebb1d654c73e2c720 | [
"MIT"
] | 1 | 2019-01-19T23:04:50.000Z | 2019-01-19T23:04:50.000Z | sat-competition-2018/xof-state/sha3-xof.py | cipherboy/sat | 65cbcebf03ffdfd64d49359ebb1d654c73e2c720 | [
"MIT"
] | null | null | null | sat-competition-2018/xof-state/sha3-xof.py | cipherboy/sat | 65cbcebf03ffdfd64d49359ebb1d654c73e2c720 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import hash_framework as hf
hf.config.model_dir = "/home/cipherboy/GitHub/sat/sat-competition-2018/models"
import time, sys, os, random
run = False
release = False
if '--run' in sys.argv:
run = True
if '--release' in sys.argv:
release = True
if '-h' in sys.argv or '--help' in sys.argv:... | 28.814815 | 103 | 0.554756 | 607 | 3,890 | 3.453048 | 0.253707 | 0.033397 | 0.038168 | 0.009542 | 0.191317 | 0.133111 | 0.120706 | 0.067748 | 0.025763 | 0.025763 | 0 | 0.030699 | 0.271465 | 3,890 | 134 | 104 | 29.029851 | 0.708892 | 0.005398 | 0 | 0.163636 | 0 | 0.009091 | 0.184074 | 0.013961 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0.009091 | 0.018182 | 0 | 0.063636 | 0.145455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6739210f1e8d51ce9d34502997456a48bfc0ddd | 3,357 | py | Python | methinks/db.py | andreasgrv/methinks | 5c65fdb84e35b8082ee35963431a352e06f4af44 | [
"BSD-3-Clause"
] | null | null | null | methinks/db.py | andreasgrv/methinks | 5c65fdb84e35b8082ee35963431a352e06f4af44 | [
"BSD-3-Clause"
] | null | null | null | methinks/db.py | andreasgrv/methinks | 5c65fdb84e35b8082ee35963431a352e06f4af44 | [
"BSD-3-Clause"
] | null | null | null | import os
import datetime
import xxhash
import json
from flask_sqlalchemy import SQLAlchemy
from methinks.utils import str_to_date
from methinks.config import get_default_conf
db = SQLAlchemy()
class Entry(db.Model):
__tablename__ = 'entry'
id = db.Column(db.Integer, primary_key=True)
hexid = db.Colum... | 31.373832 | 89 | 0.593983 | 416 | 3,357 | 4.661058 | 0.254808 | 0.077359 | 0.030944 | 0.027849 | 0.104177 | 0.104177 | 0.104177 | 0.104177 | 0.104177 | 0.052604 | 0 | 0.001662 | 0.282991 | 3,357 | 106 | 90 | 31.669811 | 0.803905 | 0 | 0 | 0.151163 | 0 | 0 | 0.048853 | 0 | 0 | 0 | 0 | 0 | 0.011628 | 1 | 0.127907 | false | 0 | 0.081395 | 0.05814 | 0.406977 | 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 |
c6742b09c8b11bbe5babccf11451efdfb75310ee | 2,797 | py | Python | dense_estimation/points_estimation.py | zouzhenhong98/kitti-tools | 30b7d5c799ca2a44fe88522f6d46ad2a53c61d53 | [
"MIT"
] | 7 | 2020-01-03T13:05:36.000Z | 2021-08-03T07:51:43.000Z | dense_estimation/points_estimation.py | zouzhenhong98/kitti-tools | 30b7d5c799ca2a44fe88522f6d46ad2a53c61d53 | [
"MIT"
] | null | null | null | dense_estimation/points_estimation.py | zouzhenhong98/kitti-tools | 30b7d5c799ca2a44fe88522f6d46ad2a53c61d53 | [
"MIT"
] | 3 | 2020-07-07T03:35:06.000Z | 2021-07-21T11:40:38.000Z | '''
point clouds estimation: transfer sparse map to dense map,
work for both depth and reflectance.
'''
import sys
sys.path.append("..")
from utils import data_provider
from utils import velo_2_cam
import numpy as np
# fetch image and point clouds: coordinates and reflectance
def rawData(pc_path_, img_path_):
... | 35.405063 | 111 | 0.598498 | 354 | 2,797 | 4.49435 | 0.333333 | 0.018856 | 0.015085 | 0.028284 | 0.099937 | 0.049026 | 0.049026 | 0 | 0 | 0 | 0 | 0.031778 | 0.279943 | 2,797 | 79 | 111 | 35.405063 | 0.758193 | 0.231677 | 0 | 0 | 0 | 0 | 0.137412 | 0 | 0 | 0 | 0 | 0 | 0.022222 | 1 | 0.066667 | false | 0.022222 | 0.088889 | 0 | 0.2 | 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 |
c6770cd7813960cae894c7947e2f76b45e5169f4 | 1,014 | py | Python | tests/run_compiler.py | yshrdbrn/ogle | 529337203b1bd3ec66c08f4ed153dba5fc8349a1 | [
"MIT"
] | null | null | null | tests/run_compiler.py | yshrdbrn/ogle | 529337203b1bd3ec66c08f4ed153dba5fc8349a1 | [
"MIT"
] | null | null | null | tests/run_compiler.py | yshrdbrn/ogle | 529337203b1bd3ec66c08f4ed153dba5fc8349a1 | [
"MIT"
] | null | null | null | from ogle.code_generator.code_generator import CodeGenerator
from ogle.lexer.lexer import Lexer
from ogle.parser.parser import Parser
from ogle.semantic_analyzer.semantic_analyzer import SemanticAnalyzer
def _get_errors_warnings(all_errors):
errors = [e for e in all_errors if 'Error' in e[1]]
warnings = [e for... | 36.214286 | 82 | 0.759369 | 134 | 1,014 | 5.522388 | 0.291045 | 0.172973 | 0.068919 | 0.101351 | 0.348649 | 0.348649 | 0.348649 | 0.3 | 0.3 | 0.3 | 0 | 0.002345 | 0.158777 | 1,014 | 27 | 83 | 37.555556 | 0.865182 | 0 | 0 | 0.416667 | 0 | 0 | 0.012821 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.166667 | 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 |
c678c38909ca5f9f3348fe7d0e9471e1720d3bee | 817 | py | Python | graph/dfs_dict_attempt2.py | automoto/python-code-golf | 1a4e0b5984e64620637de9d80e82c6e89997f4af | [
"MIT"
] | null | null | null | graph/dfs_dict_attempt2.py | automoto/python-code-golf | 1a4e0b5984e64620637de9d80e82c6e89997f4af | [
"MIT"
] | null | null | null | graph/dfs_dict_attempt2.py | automoto/python-code-golf | 1a4e0b5984e64620637de9d80e82c6e89997f4af | [
"MIT"
] | null | null | null | # !depth first search !dfs !graph
# dict of nodes as the key and sets for the edges(children)
graph = {'A': set(['B', 'C', 'D']),
'B': set(['E', 'F']),
'C': set([]),
'D': set(['G', 'H']),
'E': set([]),
'F': set(['I', 'J']),
'G': set(['K']),
'H': set([]),
'I': set([]),
'J': set([]),
'K': ... | 24.029412 | 63 | 0.597307 | 125 | 817 | 3.864 | 0.408 | 0.136646 | 0.066253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.203182 | 817 | 34 | 63 | 24.029412 | 0.741935 | 0.405141 | 0 | 0 | 0 | 0 | 0.075472 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0 | 0 | 0.05 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c67973e1c48ecff18bf6a4fc82b259940ef31d3c | 4,561 | py | Python | tools/fastq_pair_names/fastq_pair_names.py | Neato-Nick/pico_galaxy | 79666612a9ca2d335622bc282a4768bb43d91419 | [
"MIT"
] | 18 | 2015-06-09T13:57:09.000Z | 2022-01-14T21:05:54.000Z | tools/fastq_pair_names/fastq_pair_names.py | Neato-Nick/pico_galaxy | 79666612a9ca2d335622bc282a4768bb43d91419 | [
"MIT"
] | 34 | 2015-04-02T19:26:08.000Z | 2021-06-17T18:59:24.000Z | tools/fastq_pair_names/fastq_pair_names.py | Neato-Nick/pico_galaxy | 79666612a9ca2d335622bc282a4768bb43d91419 | [
"MIT"
] | 24 | 2015-02-25T13:40:19.000Z | 2021-09-08T20:40:40.000Z | #!/usr/bin/env python
"""Extract paired read names from FASTQ file(s).
The input file should be a valid FASTQ file(s), the output is two tabular
files - the paired read names (without suffixes), and unpaired read names
(including any unrecognised pair names).
Note that the FASTQ variant is unimportant (Sanger, Solexa... | 31.027211 | 86 | 0.611489 | 657 | 4,561 | 4.127854 | 0.302892 | 0.058997 | 0.033186 | 0.043142 | 0.347345 | 0.255162 | 0.185103 | 0.173304 | 0.141593 | 0.141593 | 0 | 0.045967 | 0.241614 | 4,561 | 146 | 87 | 31.239726 | 0.738075 | 0.232186 | 0 | 0.181818 | 0 | 0.040404 | 0.195396 | 0.061871 | 0 | 0 | 0 | 0 | 0.212121 | 1 | 0 | false | 0 | 0.050505 | 0 | 0.050505 | 0.030303 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6798f3695e83af119f05e4fdd4f14111d00889d | 2,903 | py | Python | code/05_speech_to_text/main_05_b_wake_word.py | padmalcom/AISpeechAssistant | b7501a23a8f513acb5043f3c7bb06df129bdc2cc | [
"Apache-2.0"
] | 1 | 2021-09-08T09:21:16.000Z | 2021-09-08T09:21:16.000Z | code/05_speech_to_text/main_05_b_wake_word.py | padmalcom/AISpeechAssistant | b7501a23a8f513acb5043f3c7bb06df129bdc2cc | [
"Apache-2.0"
] | null | null | null | code/05_speech_to_text/main_05_b_wake_word.py | padmalcom/AISpeechAssistant | b7501a23a8f513acb5043f3c7bb06df129bdc2cc | [
"Apache-2.0"
] | 2 | 2022-02-06T09:54:40.000Z | 2022-03-01T07:52:51.000Z | from loguru import logger
import yaml
import time
import pyaudio
import struct
import os
import sys
from vosk import Model, SpkModel, KaldiRecognizer
import json
import text2numde
from TTS import Voice
import multiprocessing
CONFIG_FILE = "config.yml"
SAMPLE_RATE = 16000
FRAME_LENGTH = 512
class VoiceAssistant():... | 27.130841 | 86 | 0.709955 | 356 | 2,903 | 5.679775 | 0.466292 | 0.04451 | 0.029674 | 0.012859 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011638 | 0.171202 | 2,903 | 107 | 87 | 27.130841 | 0.828761 | 0.054426 | 0 | 0.02439 | 0 | 0 | 0.238964 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.146341 | 0 | 0.182927 | 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 |
c6832c12d1f11f0fd4b7b74f990fd950eb68d5c6 | 2,506 | py | Python | functions/formatString.py | Steve-Xyh/AutoAoxiang | a8f1abed0f17b967456b1fa539c0aae79dac1d01 | [
"WTFPL"
] | 7 | 2020-02-17T08:12:14.000Z | 2021-12-29T09:41:35.000Z | functions/formatString.py | Steve-Xyh/AutoAoxiang | a8f1abed0f17b967456b1fa539c0aae79dac1d01 | [
"WTFPL"
] | null | null | null | functions/formatString.py | Steve-Xyh/AutoAoxiang | a8f1abed0f17b967456b1fa539c0aae79dac1d01 | [
"WTFPL"
] | 1 | 2020-07-24T07:16:14.000Z | 2020-07-24T07:16:14.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import datetime
import colorama
colorama.init(autoreset=True)
logData = {
'所在位置': 'Location',
'是否经停湖北': '否',
'接触湖北籍人员': '否',
'接触确诊疑似': '否',
'今日体温': '37.2度以下',
'有无疑似或异常': '无',
'是否隔离': '否',
}
def log_line(dic: dict, color=True):
'''
中文... | 25.571429 | 111 | 0.541899 | 322 | 2,506 | 4.164596 | 0.304348 | 0.03132 | 0.056674 | 0.080537 | 0.50261 | 0.50261 | 0.445936 | 0.430276 | 0.404922 | 0.404922 | 0 | 0.022283 | 0.265762 | 2,506 | 97 | 112 | 25.835052 | 0.706522 | 0.0834 | 0 | 0.383333 | 0 | 0 | 0.124271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.033333 | 0 | 0.166667 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6843679e999329dca1a8986c704607c2cb84a96 | 433 | py | Python | 2 - Automation tools with IP hiding techniques/checkValidJson.py | Phong940253/facebook-data-extraction | fa64680dcff900db4d852af06ff792ccf4d5be33 | [
"MIT"
] | null | null | null | 2 - Automation tools with IP hiding techniques/checkValidJson.py | Phong940253/facebook-data-extraction | fa64680dcff900db4d852af06ff792ccf4d5be33 | [
"MIT"
] | null | null | null | 2 - Automation tools with IP hiding techniques/checkValidJson.py | Phong940253/facebook-data-extraction | fa64680dcff900db4d852af06ff792ccf4d5be33 | [
"MIT"
] | null | null | null | import json
import glob
groupPost = glob.glob("rawData/*/*/*.json")
pagePost = glob.glob("rawData/*/*.json")
groupPagePost = groupPost + pagePost
def is_json(myjson):
try:
json.load(myjson)
except ValueError as e:
return False
return True
for postFile in groupPagePost:
with open(pos... | 19.681818 | 52 | 0.628176 | 55 | 433 | 4.909091 | 0.6 | 0.059259 | 0.111111 | 0.140741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003086 | 0.251732 | 433 | 21 | 53 | 20.619048 | 0.830247 | 0 | 0 | 0 | 0 | 0 | 0.092379 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.3125 | 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 |
c686c1dded95c4fb11f50e8f958330e48395c1cb | 304 | py | Python | 34.PySimpleGUI.py | sarincr/GUI-With-Tkinter-using-Python | 3b57fc4aeed9e4a3018fc940bafdb4160ec853fc | [
"MIT"
] | null | null | null | 34.PySimpleGUI.py | sarincr/GUI-With-Tkinter-using-Python | 3b57fc4aeed9e4a3018fc940bafdb4160ec853fc | [
"MIT"
] | null | null | null | 34.PySimpleGUI.py | sarincr/GUI-With-Tkinter-using-Python | 3b57fc4aeed9e4a3018fc940bafdb4160ec853fc | [
"MIT"
] | null | null | null | import PySimpleGUI as PySG
lay = [ [PySG.Text("What's your name?")],
[PySG.Input()],
[PySG.Button('Ok')] ]
wd = PySG.Window('Python Simple GUI', lay)
event, values = wd.read()
print('Hello', values[0])
wd.close()
| 21.714286 | 48 | 0.457237 | 33 | 304 | 4.212121 | 0.757576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005348 | 0.384868 | 304 | 13 | 49 | 23.384615 | 0.737968 | 0 | 0 | 0 | 0 | 0 | 0.134868 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c688fe0af58ac798c7af0c9f68af25aff660071c | 5,304 | py | Python | models/ScrabbleGAN.py | iambhuvi/ScrabbleGAN | 30dce26a1a103a0fd6ce7269d6ccdcaccb32fd3b | [
"MIT"
] | 9 | 2021-02-02T06:31:32.000Z | 2021-11-03T11:19:58.000Z | models/ScrabbleGAN.py | iambhuvi/ScrabbleGAN | 30dce26a1a103a0fd6ce7269d6ccdcaccb32fd3b | [
"MIT"
] | 1 | 2021-12-01T12:13:14.000Z | 2021-12-01T12:13:14.000Z | models/ScrabbleGAN.py | iambhuvi/ScrabbleGAN | 30dce26a1a103a0fd6ce7269d6ccdcaccb32fd3b | [
"MIT"
] | 6 | 2021-02-02T06:31:49.000Z | 2022-01-21T14:33:43.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data
from models.model_utils import BigGAN as BGAN
from utils.data_utils import *
import pandas as pd
class Recognizer(nn.Module):
def __init__(self, cfg):
super(Recognizer, self).__init__()
input_size = 1
... | 37.617021 | 112 | 0.572587 | 784 | 5,304 | 3.664541 | 0.202806 | 0.034807 | 0.063348 | 0.04873 | 0.350505 | 0.269405 | 0.204664 | 0.204664 | 0.183084 | 0.132962 | 0 | 0.020985 | 0.299208 | 5,304 | 140 | 113 | 37.885714 | 0.751951 | 0.061086 | 0 | 0.277778 | 0 | 0 | 0.00503 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046296 | false | 0 | 0.064815 | 0 | 0.148148 | 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 |
c689b60ebca7bfda5e5401b93bdc1651fc7b24be | 2,745 | py | Python | jobbing/controllers/providers_controller.py | davidall-amdocs/jobbing | b13311da07606366dfbe2eb737483a5820038557 | [
"Apache-2.0"
] | null | null | null | jobbing/controllers/providers_controller.py | davidall-amdocs/jobbing | b13311da07606366dfbe2eb737483a5820038557 | [
"Apache-2.0"
] | 1 | 2021-06-10T03:34:07.000Z | 2021-06-10T03:34:07.000Z | jobbing/controllers/providers_controller.py | davidall-amdocs/jobbing | b13311da07606366dfbe2eb737483a5820038557 | [
"Apache-2.0"
] | 1 | 2022-02-14T15:51:01.000Z | 2022-02-14T15:51:01.000Z | from flask import abort
from jobbing.models.user_profile import UserProfile # noqa: E501
from jobbing.models.service import Service # noqa: E501
from jobbing.DBModels import Profile as DBProfile
from jobbing.DBModels import Service as DBService
from jobbing.login import token_required
@token_required
def get_provi... | 34.746835 | 82 | 0.647723 | 315 | 2,745 | 5.368254 | 0.285714 | 0.06505 | 0.028386 | 0.022472 | 0.107037 | 0.056771 | 0 | 0 | 0 | 0 | 0 | 0.010687 | 0.284153 | 2,745 | 78 | 83 | 35.192308 | 0.849873 | 0.135155 | 0 | 0.037736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.113208 | 0 | 0.188679 | 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 |
c68c3919e177e8d1de7b30c2a650b62b74c47975 | 6,811 | py | Python | bin/extract_bcs.py | dmaticzka/bctools | e4733b1f59a151f8158a8173a3cde48a5d119bc2 | [
"Apache-2.0"
] | null | null | null | bin/extract_bcs.py | dmaticzka/bctools | e4733b1f59a151f8158a8173a3cde48a5d119bc2 | [
"Apache-2.0"
] | 3 | 2016-04-24T14:26:17.000Z | 2017-04-28T15:17:20.000Z | bin/extract_bcs.py | dmaticzka/bctools | e4733b1f59a151f8158a8173a3cde48a5d119bc2 | [
"Apache-2.0"
] | 2 | 2016-05-06T03:57:25.000Z | 2018-11-06T10:57:32.000Z | #!/usr/bin/env python
import argparse
import logging
import re
from sys import stdout
from Bio.SeqIO.QualityIO import FastqGeneralIterator
# avoid ugly python IOError when stdout output is piped into another program
# and then truncated (such as piping to head)
from signal import signal, SIGPIPE, SIG_DFL
signal(SIGPIP... | 39.143678 | 198 | 0.707238 | 959 | 6,811 | 4.895725 | 0.241919 | 0.03983 | 0.028967 | 0.017891 | 0.204899 | 0.161022 | 0.119915 | 0.094782 | 0.072417 | 0.059638 | 0 | 0.002646 | 0.167817 | 6,811 | 173 | 199 | 39.369942 | 0.825688 | 0.12377 | 0 | 0.227941 | 0 | 0.014706 | 0.322293 | 0.004203 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.044118 | 0 | 0.044118 | 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 |
c68e39b0e1053cfb768407c21209e2d2583bacc2 | 1,226 | py | Python | main.py | pranavbaburaj/sh | dc0da9e10e7935310ae40d350c1897fcd65bce8f | [
"MIT"
] | 4 | 2021-01-30T12:25:21.000Z | 2022-03-13T07:23:19.000Z | main.py | pranavbaburaj/sh | dc0da9e10e7935310ae40d350c1897fcd65bce8f | [
"MIT"
] | 3 | 2021-02-26T13:11:17.000Z | 2021-06-04T17:26:05.000Z | main.py | pranavbaburaj/sh | dc0da9e10e7935310ae40d350c1897fcd65bce8f | [
"MIT"
] | 1 | 2021-02-08T10:18:29.000Z | 2021-02-08T10:18:29.000Z | import pyfiglet as figlet
import click as click
from project import Project, ApplicationRunner
# The application package manager
# get
from package import PackageManager
# print out the application name
def print_app_name(app_name):
figlet_object = figlet.Figlet(font='slant')
return figlet_object... | 24.52 | 69 | 0.693312 | 157 | 1,226 | 5.216561 | 0.312102 | 0.094017 | 0.065934 | 0.053724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.212887 | 1,226 | 50 | 70 | 24.52 | 0.848705 | 0.170473 | 0 | 0 | 0 | 0 | 0.070907 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.142857 | 0 | 0.357143 | 0.107143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6904f6da38987f613861eec004342d5edfec9c2 | 1,339 | py | Python | src/21.py | peter-hunt/project-euler-solution | ce5be80043e892e3a95604bd5ebec9dc88c7c037 | [
"MIT"
] | null | null | null | src/21.py | peter-hunt/project-euler-solution | ce5be80043e892e3a95604bd5ebec9dc88c7c037 | [
"MIT"
] | null | null | null | src/21.py | peter-hunt/project-euler-solution | ce5be80043e892e3a95604bd5ebec9dc88c7c037 | [
"MIT"
] | null | null | null | """
Amicable numbers
Let d(n) be defined as the sum of proper divisors of n
(numbers less than n which divide evenly into n).
If d(a) = b and d(b) = a, where a ≠ b, then a and b are an amicable pair and
each of a and b are called amicable numbers.
For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 22... | 21.596774 | 79 | 0.551158 | 203 | 1,339 | 3.600985 | 0.389163 | 0.049248 | 0.065663 | 0.021888 | 0.032832 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075145 | 0.353996 | 1,339 | 61 | 80 | 21.95082 | 0.768786 | 0.38835 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.033333 | 0.033333 | 0 | 0.2 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |