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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
83f68d37160408c53d642878608195421084467e | 9,670 | py | Python | frappe/website/page_renderers/template_page.py | sersaber/frappe | e0c25d2b2c19fe79f7c7848e7307d90a5f27c68a | [
"MIT"
] | null | null | null | frappe/website/page_renderers/template_page.py | sersaber/frappe | e0c25d2b2c19fe79f7c7848e7307d90a5f27c68a | [
"MIT"
] | null | null | null | frappe/website/page_renderers/template_page.py | sersaber/frappe | e0c25d2b2c19fe79f7c7848e7307d90a5f27c68a | [
"MIT"
] | null | null | null | import io
import os
import click
import frappe
from frappe.website.page_renderers.base_template_page import BaseTemplatePage
from frappe.website.router import get_base_template, get_page_info
from frappe.website.utils import (
cache_html,
extract_comment_tag,
extract_title,
get_frontmatter,
get_next_link,
get_s... | 31.193548 | 99 | 0.729369 | 1,413 | 9,670 | 4.762916 | 0.174805 | 0.060475 | 0.026152 | 0.011144 | 0.123626 | 0.057058 | 0.035513 | 0.009807 | 0 | 0 | 0 | 0.002916 | 0.148811 | 9,670 | 309 | 100 | 31.294498 | 0.814482 | 0.08697 | 0 | 0.038627 | 0 | 0 | 0.094512 | 0.002505 | 0 | 0 | 0 | 0.003236 | 0 | 1 | 0.120172 | false | 0.004292 | 0.038627 | 0.021459 | 0.227468 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
83f948132b34592da621aabbd2b53119e725f6d1 | 17,013 | py | Python | mistral/db/v2/sqlalchemy/models.py | mail2nsrajesh/mistral | b19d87141563e00f18cd74c685392d0b9b70e351 | [
"Apache-2.0"
] | null | null | null | mistral/db/v2/sqlalchemy/models.py | mail2nsrajesh/mistral | b19d87141563e00f18cd74c685392d0b9b70e351 | [
"Apache-2.0"
] | null | null | null | mistral/db/v2/sqlalchemy/models.py | mail2nsrajesh/mistral | b19d87141563e00f18cd74c685392d0b9b70e351 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 - Mirantis, Inc.
# Copyright 2015 - StackStorm, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 31.622677 | 79 | 0.673779 | 2,096 | 17,013 | 5.217557 | 0.218511 | 0.05267 | 0.043892 | 0.048281 | 0.418892 | 0.337235 | 0.296452 | 0.244605 | 0.217721 | 0.209949 | 0 | 0.01133 | 0.216658 | 17,013 | 537 | 80 | 31.681564 | 0.809259 | 0.243755 | 0 | 0.35514 | 0 | 0 | 0.122026 | 0.010827 | 0 | 0 | 0 | 0.001862 | 0 | 1 | 0.018692 | false | 0 | 0.043614 | 0.003115 | 0.439252 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
83fa3e28d2e07cc9a136e3744d2ab599a591cc63 | 2,220 | py | Python | tests/test_models/test_state.py | adrian-blip/AirBnB_clone_v2 | c27a9d923631c78ec437e4608b5c98f3f9fd1cad | [
"MIT"
] | null | null | null | tests/test_models/test_state.py | adrian-blip/AirBnB_clone_v2 | c27a9d923631c78ec437e4608b5c98f3f9fd1cad | [
"MIT"
] | null | null | null | tests/test_models/test_state.py | adrian-blip/AirBnB_clone_v2 | c27a9d923631c78ec437e4608b5c98f3f9fd1cad | [
"MIT"
] | 1 | 2021-07-07T21:37:54.000Z | 2021-07-07T21:37:54.000Z | #!/usr/bin/python3
"""
===============================================================================
████████╗███████╗███████╗████████╗ ██████╗ █████╗ ███████╗███████╗███████╗
╚══██╔══╝██╔════╝██╔════╝╚══██╔══╝ ██╔════╝██╔══██╗██╔════╝██╔════╝██╔════╝
██║ █████╗ ███████╗ ██║ ██║ ██████... | 38.275862 | 80 | 0.440991 | 206 | 2,220 | 6.38835 | 0.417476 | 0.026596 | 0.015198 | 0.034954 | 0.242401 | 0.242401 | 0.208207 | 0.208207 | 0.156535 | 0.156535 | 0 | 0.009518 | 0.242793 | 2,220 | 57 | 81 | 38.947368 | 0.553242 | 0.401351 | 0 | 0.214286 | 0 | 0 | 0.119637 | 0.025578 | 0 | 0 | 0 | 0 | 0.214286 | 1 | 0.178571 | false | 0 | 0.214286 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
83fa4a8d78bac76a3513caf7e33e512c2461662e | 39,191 | py | Python | src/generatorse/EESG_1.7.x.py | WISDEM/GeneratorSE | ee85646bb82f9d120a3efd39a5530e674062da08 | [
"Apache-2.0"
] | null | null | null | src/generatorse/EESG_1.7.x.py | WISDEM/GeneratorSE | ee85646bb82f9d120a3efd39a5530e674062da08 | [
"Apache-2.0"
] | 2 | 2017-04-19T20:55:22.000Z | 2019-05-06T10:48:39.000Z | src/generatorse/EESG_1.7.x.py | WISDEM/GeneratorSE | ee85646bb82f9d120a3efd39a5530e674062da08 | [
"Apache-2.0"
] | 3 | 2018-10-10T00:07:35.000Z | 2021-04-19T18:41:05.000Z | """EESG.py
Created by Latha Sethuraman, Katherine Dykes.
Copyright (c) NREL. All rights reserved.
Electromagnetic design based on conventional magnetic circuit laws
Structural design based on McDonald's thesis """
from openmdao.api import Group, Problem, Component,ExecComp,IndepVarComp,ScipyOptimizer,pyOptSparse... | 48.264778 | 282 | 0.660177 | 7,285 | 39,191 | 3.312423 | 0.084969 | 0.012847 | 0.018234 | 0.023124 | 0.349592 | 0.249969 | 0.146989 | 0.110563 | 0.086776 | 0.066968 | 0 | 0.045784 | 0.152331 | 39,191 | 811 | 283 | 48.324291 | 0.680594 | 0.158991 | 0 | 0.028463 | 0 | 0 | 0.136416 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018975 | false | 0.003795 | 0.013283 | 0 | 0.045541 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
83fc1d70cbfd496107dfaac0a519dc08e54e550f | 2,879 | py | Python | haiku/_src/integration/numpy_inputs_test.py | timwillhack/dm-haikuBah2 | b76a3db3a39b82c8a1ae5a81a8a0173c23c252e5 | [
"Apache-2.0"
] | 1,647 | 2020-02-21T14:24:31.000Z | 2022-03-31T04:31:34.000Z | haiku/_src/integration/numpy_inputs_test.py | timwillhack/dm-haikuBah2 | b76a3db3a39b82c8a1ae5a81a8a0173c23c252e5 | [
"Apache-2.0"
] | 169 | 2020-02-21T14:07:25.000Z | 2022-03-31T13:08:28.000Z | haiku/_src/integration/numpy_inputs_test.py | timwillhack/dm-haikuBah2 | b76a3db3a39b82c8a1ae5a81a8a0173c23c252e5 | [
"Apache-2.0"
] | 159 | 2020-02-21T19:31:02.000Z | 2022-03-29T12:41:35.000Z | # Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 31.637363 | 95 | 0.685655 | 401 | 2,879 | 4.74813 | 0.394015 | 0.016807 | 0.047269 | 0.035714 | 0.178571 | 0.110294 | 0.110294 | 0.088235 | 0.059874 | 0.059874 | 0 | 0.00945 | 0.191386 | 2,879 | 90 | 96 | 31.988889 | 0.808419 | 0.268496 | 0 | 0.103448 | 0 | 0 | 0.041227 | 0 | 0 | 0 | 0 | 0 | 0.103448 | 1 | 0.034483 | false | 0 | 0.172414 | 0 | 0.224138 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
83fc4f9ad87af1b6d3bc93e82f86f3dfb8315e07 | 519 | py | Python | OldStreamingExperiments/NeighbourReducerCounter.py | AldurD392/SubgraphExplorer | d7c5de234a9ae1a83a017e77074fde5fd1d430b9 | [
"MIT"
] | null | null | null | OldStreamingExperiments/NeighbourReducerCounter.py | AldurD392/SubgraphExplorer | d7c5de234a9ae1a83a017e77074fde5fd1d430b9 | [
"MIT"
] | null | null | null | OldStreamingExperiments/NeighbourReducerCounter.py | AldurD392/SubgraphExplorer | d7c5de234a9ae1a83a017e77074fde5fd1d430b9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""A more advanced Reducer, using Python iterators and generators."""
from itertools import groupby
from operator import itemgetter
import sys
def read_mapper_output(file, separator='\t'):
for line in file:
yield line.rstrip().split(separator, 1)
def main(separator='\t'):
data... | 24.714286 | 69 | 0.689788 | 71 | 519 | 4.873239 | 0.633803 | 0.057803 | 0.092486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00464 | 0.169557 | 519 | 20 | 70 | 25.95 | 0.798144 | 0.16185 | 0 | 0 | 0 | 0 | 0.041958 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.25 | 0 | 0.416667 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
83ff49e0443c8a936583d9a35d43b023aa52642a | 6,663 | py | Python | fastface/dataset/base.py | mdornseif/fastface | 72772db1fae4af17e829cd5479c4848fe5eb8948 | [
"MIT"
] | 72 | 2021-01-03T05:43:56.000Z | 2021-09-17T06:09:35.000Z | fastface/dataset/base.py | mdornseif/fastface | 72772db1fae4af17e829cd5479c4848fe5eb8948 | [
"MIT"
] | 3 | 2021-09-23T22:26:57.000Z | 2021-10-31T10:11:48.000Z | fastface/dataset/base.py | mdornseif/fastface | 72772db1fae4af17e829cd5479c4848fe5eb8948 | [
"MIT"
] | 6 | 2021-02-15T19:58:57.000Z | 2021-08-19T12:46:41.000Z | import copy
import logging
import os
from typing import Dict, List, Tuple
import checksumdir
import imageio
import numpy as np
import torch
from torch.utils.data import DataLoader, Dataset
from tqdm import tqdm
from ..adapter import download_object
logger = logging.getLogger("fastface.dataset")
class _IdentitiyTra... | 31.880383 | 88 | 0.559508 | 825 | 6,663 | 4.366061 | 0.232727 | 0.027485 | 0.039978 | 0.025541 | 0.104664 | 0.064964 | 0.044975 | 0.037757 | 0 | 0 | 0 | 0.016193 | 0.314123 | 6,663 | 208 | 89 | 32.033654 | 0.771991 | 0.061984 | 0 | 0.111111 | 0 | 0 | 0.061267 | 0 | 0 | 0 | 0 | 0.009615 | 0.020833 | 1 | 0.090278 | false | 0 | 0.076389 | 0.020833 | 0.256944 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
83fff1491dc4525ae4d3d5754c54e0efcce41659 | 989 | py | Python | sources/car.py | amaurylrd/banlieu_drift | bd9e435bf5ce25e782a59de33472beb932cac9ad | [
"Apache-2.0"
] | 1 | 2021-11-26T16:57:54.000Z | 2021-11-26T16:57:54.000Z | sources/car.py | amaurylrd/banlieu_drift | bd9e435bf5ce25e782a59de33472beb932cac9ad | [
"Apache-2.0"
] | null | null | null | sources/car.py | amaurylrd/banlieu_drift | bd9e435bf5ce25e782a59de33472beb932cac9ad | [
"Apache-2.0"
] | null | null | null | import pygame
import math
coef_turn = 0.3
coef_drift = 0.07 # adhérence au sol
coef_vel = 10
class Car:
def __init__(self):
self.dir_target = -1
self.dir = -1
self.posx = 0
self.velx = -1
self.w = 50
self.h = 100
def update(self, dt):
self.dir += dt * ... | 29.088235 | 96 | 0.50455 | 150 | 989 | 3.246667 | 0.346667 | 0.129363 | 0.067762 | 0.092402 | 0.110883 | 0.065708 | 0 | 0 | 0 | 0 | 0 | 0.061033 | 0.353893 | 989 | 34 | 97 | 29.088235 | 0.701095 | 0.016178 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.071429 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8601805a4413deebe6198ae3e881b519806f6bcf | 6,014 | py | Python | test/test_static.py | fjarri/grunnur | 5eea8ec408e431f43a59780cdf8be2f441a9ebb5 | [
"MIT"
] | 1 | 2020-12-04T12:19:18.000Z | 2020-12-04T12:19:18.000Z | test/test_static.py | fjarri/grunnur | 5eea8ec408e431f43a59780cdf8be2f441a9ebb5 | [
"MIT"
] | 11 | 2021-03-11T00:20:23.000Z | 2021-03-11T01:05:54.000Z | test/test_static.py | fjarri/grunnur | 5eea8ec408e431f43a59780cdf8be2f441a9ebb5 | [
"MIT"
] | null | null | null | import pytest
import numpy
from grunnur import (
cuda_api_id, opencl_api_id,
StaticKernel, VirtualSizeError, API, Context, Queue, MultiQueue, Array, MultiArray
)
from grunnur.template import DefTemplate
from .mock_base import MockKernel, MockDefTemplate, MockDefTemplate
from .mock_pycuda import PyCUDADevi... | 34.365714 | 105 | 0.689225 | 831 | 6,014 | 4.756919 | 0.209386 | 0.022262 | 0.036175 | 0.025803 | 0.498609 | 0.361751 | 0.293954 | 0.270175 | 0.242348 | 0.149001 | 0 | 0.033902 | 0.190722 | 6,014 | 174 | 106 | 34.563218 | 0.778303 | 0.062355 | 0 | 0.241379 | 0 | 0 | 0.109068 | 0.013292 | 0 | 0 | 0 | 0 | 0.051724 | 1 | 0.068966 | false | 0 | 0.068966 | 0 | 0.137931 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
86028d3af8b32e8fcc5b56f0951579ff48885aaa | 8,212 | py | Python | platform/winrt/detect.py | bdero/godot | e7572c690a3a6792e5aa183e16d902bff77398bc | [
"CC-BY-3.0",
"MIT"
] | 24 | 2016-10-14T16:54:01.000Z | 2022-01-15T06:39:17.000Z | platform/winrt/detect.py | bdero/godot | e7572c690a3a6792e5aa183e16d902bff77398bc | [
"CC-BY-3.0",
"MIT"
] | 2 | 2021-08-17T02:04:05.000Z | 2021-09-18T13:55:13.000Z | platform/winrt/detect.py | bdero/godot | e7572c690a3a6792e5aa183e16d902bff77398bc | [
"CC-BY-3.0",
"MIT"
] | 9 | 2017-08-04T12:00:16.000Z | 2021-12-10T06:48:28.000Z |
import os
import sys
import string
def is_active():
return True
def get_name():
return "WinRT"
def can_build():
if (os.name=="nt"):
#building natively on windows!
if (os.getenv("VSINSTALLDIR")):
return True
return False
def get_opts():
return []
def get_flags():
return []
def configure(env):
... | 52.305732 | 846 | 0.693132 | 1,094 | 8,212 | 5.130713 | 0.202011 | 0.073757 | 0.059861 | 0.042758 | 0.649029 | 0.59184 | 0.574559 | 0.551577 | 0.537324 | 0.537324 | 0 | 0.032101 | 0.097175 | 8,212 | 156 | 847 | 52.641026 | 0.72498 | 0.4217 | 0 | 0.395349 | 0 | 0.023256 | 0.426184 | 0.095178 | 0 | 0 | 0.003384 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.046512 | 0.046512 | 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 |
8602e07af8df333a6a9bc854df324adb49b003af | 6,934 | py | Python | monasca-log-api-2.9.0/monasca_log_api/tests/test_role_middleware.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | null | null | null | monasca-log-api-2.9.0/monasca_log_api/tests/test_role_middleware.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | monasca-log-api-2.9.0/monasca_log_api/tests/test_role_middleware.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright 2015-2017 FUJITSU LIMITED
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 30.546256 | 77 | 0.657629 | 835 | 6,934 | 5.172455 | 0.203593 | 0.031489 | 0.042139 | 0.06483 | 0.66057 | 0.623524 | 0.599213 | 0.594814 | 0.536467 | 0.502431 | 0 | 0.01295 | 0.242717 | 6,934 | 226 | 78 | 30.681416 | 0.80956 | 0.082492 | 0 | 0.547945 | 0 | 0 | 0.041916 | 0 | 0 | 0 | 0 | 0 | 0.164384 | 1 | 0.109589 | false | 0 | 0.027397 | 0 | 0.164384 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
86040bdb269e301a7c36430ecb672c9bac61af90 | 1,626 | py | Python | paradrop/daemon/paradrop/core/config/wifi.py | VegetableChook/Paradrop | a38e1773877d5b136c3b626edd8c033a12b43e56 | [
"Apache-2.0"
] | 1 | 2018-03-22T13:04:19.000Z | 2018-03-22T13:04:19.000Z | paradrop/daemon/paradrop/core/config/wifi.py | VegetableChook/Paradrop | a38e1773877d5b136c3b626edd8c033a12b43e56 | [
"Apache-2.0"
] | null | null | null | paradrop/daemon/paradrop/core/config/wifi.py | VegetableChook/Paradrop | a38e1773877d5b136c3b626edd8c033a12b43e56 | [
"Apache-2.0"
] | null | null | null | from paradrop.base.output import out
from paradrop.lib.utils import uci
from . import configservice, uciutils
def getOSWirelessConfig(update):
"""
Read settings from networkInterfaces for wireless interfaces.
Store wireless configuration settings in osWirelessConfig.
"""
# old code under lib.inter... | 29.563636 | 72 | 0.602706 | 161 | 1,626 | 6.086957 | 0.496894 | 0.061224 | 0.042857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.290283 | 1,626 | 54 | 73 | 30.111111 | 0.84922 | 0.226322 | 0 | 0 | 0 | 0 | 0.148482 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.1 | 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 |
86040d6a3dcd14bd0d738d5bbdbdef5ec27bd32e | 44,518 | py | Python | xixi.py | niushuqing123/final-project | 237745dd27a29c9a4b0574003c37fe4c875fde91 | [
"MIT"
] | 9 | 2022-03-10T06:53:38.000Z | 2022-03-19T08:54:51.000Z | xixi.py | niushuqing123/final-project | 237745dd27a29c9a4b0574003c37fe4c875fde91 | [
"MIT"
] | null | null | null | xixi.py | niushuqing123/final-project | 237745dd27a29c9a4b0574003c37fe4c875fde91 | [
"MIT"
] | null | null | null | import taichi as ti
import numpy as np
from functools import reduce
# from sph_base import SPHBase
# ti.init(arch=ti.cpu)
# Use GPU for higher peformance if available
ti.init(arch=ti.gpu, device_memory_GB=4, packed=True)
# 因为邻居搜索的网格不会做,所以尺寸数据只好也沿用助教的写法
# res = (720,720)
res = (512,512)
dim = 2
assert... | 32.471189 | 207 | 0.536682 | 6,505 | 44,518 | 3.459185 | 0.109147 | 0.027064 | 0.044663 | 0.049596 | 0.546129 | 0.499689 | 0.455204 | 0.415608 | 0.3745 | 0.332904 | 0 | 0.058368 | 0.318433 | 44,518 | 1,370 | 208 | 32.494891 | 0.683244 | 0.150928 | 0 | 0.357488 | 0 | 0 | 0.008858 | 0 | 0 | 0 | 0.001369 | 0 | 0.001208 | 1 | 0.042271 | false | 0.004831 | 0.003623 | 0 | 0.050725 | 0.050725 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
86048fe3a3ee21e21bf198adc5adb3af9aad7917 | 1,129 | py | Python | pexen/factory/module.py | comps/pexen | 3da6b110cf063646e5d2ae671f4408a14662fcca | [
"MIT"
] | 1 | 2019-09-06T10:41:30.000Z | 2019-09-06T10:41:30.000Z | pexen/factory/module.py | comps/pexen | 3da6b110cf063646e5d2ae671f4408a14662fcca | [
"MIT"
] | null | null | null | pexen/factory/module.py | comps/pexen | 3da6b110cf063646e5d2ae671f4408a14662fcca | [
"MIT"
] | 1 | 2020-06-24T00:31:13.000Z | 2020-06-24T00:31:13.000Z | import inspect
from fnmatch import fnmatchcase
from ..sched import meta
from .base import BaseFactory
class ModuleFactory(BaseFactory):
"""
Takes an imported module object and extracts callable objects from it.
A valid callable is any object that can be called and has pexen.sched
metadata.
Argum... | 28.225 | 77 | 0.639504 | 142 | 1,129 | 4.929577 | 0.443662 | 0.051429 | 0.045714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.289637 | 1,129 | 39 | 78 | 28.948718 | 0.872818 | 0.248007 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.541667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
86073f9a281f5bb9b144352abdd430f4d907d4bc | 3,337 | py | Python | saharaclient/api/job_binaries.py | openstack/python-saharaclient | 2f01b878a9e07bc712fae9c6c2c5f823bd986dd6 | [
"Apache-2.0"
] | 34 | 2015-01-26T21:39:46.000Z | 2021-01-16T17:30:25.000Z | saharaclient/api/job_binaries.py | openstack/python-saharaclient | 2f01b878a9e07bc712fae9c6c2c5f823bd986dd6 | [
"Apache-2.0"
] | null | null | null | saharaclient/api/job_binaries.py | openstack/python-saharaclient | 2f01b878a9e07bc712fae9c6c2c5f823bd986dd6 | [
"Apache-2.0"
] | 15 | 2015-03-13T23:24:59.000Z | 2017-06-22T12:15:46.000Z | # Copyright (c) 2013 Mirantis Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 32.086538 | 78 | 0.631106 | 423 | 3,337 | 4.853428 | 0.359338 | 0.09206 | 0.042864 | 0.027277 | 0.126157 | 0.126157 | 0.092547 | 0.092547 | 0.092547 | 0.092547 | 0 | 0.008681 | 0.275097 | 3,337 | 103 | 79 | 32.398058 | 0.840017 | 0.396764 | 0 | 0 | 0 | 0 | 0.083106 | 0.011482 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.025 | 0 | 0.475 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
86081d580f0b29a7dc03878e4040b5668fd409d4 | 894 | py | Python | tools/mo/openvino/tools/mo/front/onnx/mean_variance_normalization_ext.py | pazamelin/openvino | b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48 | [
"Apache-2.0"
] | 1 | 2021-10-21T03:04:16.000Z | 2021-10-21T03:04:16.000Z | tools/mo/openvino/tools/mo/front/onnx/mean_variance_normalization_ext.py | pazamelin/openvino | b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48 | [
"Apache-2.0"
] | 58 | 2020-11-06T12:13:45.000Z | 2022-03-28T13:20:11.000Z | tools/mo/openvino/tools/mo/front/onnx/mean_variance_normalization_ext.py | pazamelin/openvino | b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48 | [
"Apache-2.0"
] | 2 | 2019-09-20T01:33:37.000Z | 2019-09-20T08:42:11.000Z | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from openvino.tools.mo.ops.mvn import MVNOnnx
from openvino.tools.mo.front.common.partial_infer.utils import int64_array
from openvino.tools.mo.front.extractor import FrontExtractorOp
from openvino.tools.mo.front.onnx.extractors.utils im... | 30.827586 | 74 | 0.647651 | 104 | 894 | 5.451923 | 0.615385 | 0.084656 | 0.119929 | 0.134039 | 0.126984 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032836 | 0.250559 | 894 | 28 | 75 | 31.928571 | 0.813433 | 0.08613 | 0 | 0 | 0 | 0 | 0.095823 | 0.030713 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.2 | 0 | 0.45 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7a5670ed8d1bfbab967804b7afd49109f337bfe | 11,661 | py | Python | enemy.py | KasiaWo/Rabbit_Bobble | 89afbaa4f8b46e20ad33e9c410f50c85ddae747b | [
"MIT"
] | null | null | null | enemy.py | KasiaWo/Rabbit_Bobble | 89afbaa4f8b46e20ad33e9c410f50c85ddae747b | [
"MIT"
] | null | null | null | enemy.py | KasiaWo/Rabbit_Bobble | 89afbaa4f8b46e20ad33e9c410f50c85ddae747b | [
"MIT"
] | null | null | null | """
Module for managing enemies.
"""
import random
import constants as const
import pygame
import random
import platforms
from spritesheet_functions import SpriteSheet
class Enemy(pygame.sprite.Sprite):
# -- Methods
def __init__(self, x_cord, y_cord,level, x_speed=2, char_type=0):
""" Constructor ... | 35.769939 | 116 | 0.54738 | 1,487 | 11,661 | 4.146604 | 0.139879 | 0.076549 | 0.048492 | 0.021408 | 0.615472 | 0.554006 | 0.507622 | 0.457995 | 0.414856 | 0.361985 | 0 | 0.022321 | 0.362233 | 11,661 | 326 | 117 | 35.769939 | 0.806777 | 0.17417 | 0 | 0.398876 | 0 | 0 | 0.005546 | 0.002407 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039326 | false | 0 | 0.033708 | 0 | 0.08427 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7a6e933e409ba532f518e3e1b2e619a58f1715d | 10,715 | py | Python | schicluster/_hicluster_internal.py | zhoujt1994/scHiCluster | 1f7e0cc5a56a357659a6b10b34053e6addbf30a5 | [
"MIT"
] | 27 | 2019-07-10T23:17:33.000Z | 2022-01-14T07:34:42.000Z | schicluster/_hicluster_internal.py | zhoujt1994/scHiCluster | 1f7e0cc5a56a357659a6b10b34053e6addbf30a5 | [
"MIT"
] | 4 | 2019-11-01T01:12:09.000Z | 2022-03-29T11:24:35.000Z | schicluster/_hicluster_internal.py | zhoujt1994/scHiCluster | 1f7e0cc5a56a357659a6b10b34053e6addbf30a5 | [
"MIT"
] | 8 | 2019-12-24T13:54:11.000Z | 2022-01-26T17:21:55.000Z | import argparse
import inspect
import logging
import sys
from .__main__ import setup_logging
log = logging.getLogger()
DESCRIPTION = """
hic-internal is used for automation, not intend to be used by end user.
Use hicluster instead.
"""
EPILOG = ''
def impute_chromosome_internal_subparser(subparser):
parser =... | 23.653422 | 105 | 0.583481 | 1,137 | 10,715 | 5.255057 | 0.169745 | 0.112301 | 0.07431 | 0.123849 | 0.615565 | 0.58728 | 0.531548 | 0.453556 | 0.385105 | 0.370711 | 0 | 0.009213 | 0.321325 | 10,715 | 452 | 106 | 23.705752 | 0.812431 | 0.012506 | 0 | 0.535714 | 0 | 0 | 0.155978 | 0.012486 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024725 | false | 0 | 0.035714 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7af32c0de7c050bf221c8fa53e7b8146120211e | 11,892 | py | Python | custom_components/discord_game/sensor.py | Myztillx/discord_game | d2413a41ca3918bf2836b3b577fccca86b85ff05 | [
"MIT"
] | null | null | null | custom_components/discord_game/sensor.py | Myztillx/discord_game | d2413a41ca3918bf2836b3b577fccca86b85ff05 | [
"MIT"
] | null | null | null | custom_components/discord_game/sensor.py | Myztillx/discord_game | d2413a41ca3918bf2836b3b577fccca86b85ff05 | [
"MIT"
] | null | null | null | import asyncio
import json
import logging
import re
import homeassistant.helpers.config_validation as cv
import voluptuous as vol
from discord import ActivityType, Spotify, Game, Streaming, CustomActivity, Activity, Member, User
from homeassistant.components.notify import PLATFORM_SCHEMA
from homeassistant.const impor... | 38.862745 | 147 | 0.632862 | 1,298 | 11,892 | 5.451464 | 0.143297 | 0.035613 | 0.027699 | 0.017807 | 0.203081 | 0.099774 | 0.063313 | 0.050028 | 0.016676 | 0.016676 | 0 | 0.003895 | 0.287504 | 11,892 | 305 | 148 | 38.990164 | 0.831229 | 0.02447 | 0 | 0.125926 | 0 | 0 | 0.04729 | 0.007939 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.040741 | 0.014815 | 0.107407 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7afb1df4dc8682c54d3708fff34533b6c3286db | 2,933 | py | Python | fumblr/services/imgur.py | jonoco/fumblr | cfbbea365299b9edba05c04de77cb003d03b6186 | [
"MIT"
] | 2 | 2017-04-13T02:58:24.000Z | 2021-05-04T00:36:57.000Z | fumblr/services/imgur.py | jonoco/fumblr | cfbbea365299b9edba05c04de77cb003d03b6186 | [
"MIT"
] | 2 | 2020-09-09T22:10:40.000Z | 2021-02-08T20:22:28.000Z | fumblr/services/imgur.py | jonoco/fumblr | cfbbea365299b9edba05c04de77cb003d03b6186 | [
"MIT"
] | 4 | 2019-07-30T12:17:55.000Z | 2020-08-28T14:51:22.000Z | from fumblr.keys import IMGUR_SECRET, IMGUR_ID
from imgurpython import ImgurClient, helpers
import os
import base64
API_URL = 'https://api.imgur.com/3/'
def get_client():
"""
Get an API client for Imgur
Returns:
Imgur client if it is available
"""
try:
return ImgurClient(IMGUR_ID... | 20.51049 | 83 | 0.57177 | 332 | 2,933 | 4.951807 | 0.289157 | 0.038321 | 0.04562 | 0.051703 | 0.259732 | 0.171533 | 0.141119 | 0.141119 | 0.141119 | 0.141119 | 0 | 0.021331 | 0.328674 | 2,933 | 142 | 84 | 20.65493 | 0.813611 | 0.423116 | 0 | 0.369565 | 0 | 0 | 0.098233 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.086957 | 0 | 0.391304 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7b31ccb2c831e63f0930af029ae9e690135237c | 3,584 | py | Python | source/src/molecular-unfolding/lambda/AthenaTableLambda/app.py | awslabs/quantum-ready-solution-for-drug-discovery | a015589995dc17a56bcd0da9332f63d966d08ace | [
"Apache-2.0"
] | 10 | 2022-01-26T01:08:50.000Z | 2022-03-31T03:03:44.000Z | source/src/molecular-unfolding/lambda/AthenaTableLambda/app.py | awslabs/quantum-ready-solution-for-drug-discovery | a015589995dc17a56bcd0da9332f63d966d08ace | [
"Apache-2.0"
] | 47 | 2022-01-26T01:27:35.000Z | 2022-03-29T04:34:51.000Z | source/src/molecular-unfolding/lambda/AthenaTableLambda/app.py | awslabs/quantum-ready-solution-for-drug-discovery | a015589995dc17a56bcd0da9332f63d966d08ace | [
"Apache-2.0"
] | 5 | 2022-02-08T02:30:11.000Z | 2022-03-25T01:59:15.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import boto3
import botocore
import os
import logging
import time
import json
import datetime
log = logging.getLogger()
log.setLevel('INFO')
bucket = os.environ['BUCKET']
region = os.environ['AWS_REGION']
solu... | 34.461538 | 265 | 0.677176 | 432 | 3,584 | 5.381944 | 0.361111 | 0.052043 | 0.015484 | 0.022366 | 0.202151 | 0.139355 | 0.117849 | 0.089462 | 0.055054 | 0 | 0 | 0.010365 | 0.219308 | 3,584 | 103 | 266 | 34.796117 | 0.820586 | 0.03404 | 0 | 0.045455 | 0 | 0.011364 | 0.446341 | 0.063928 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.079545 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7b33150fa99668b4eb5ad17455848d84b07ab75 | 14,664 | py | Python | osf/management/commands/populate_custom_taxonomies.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | osf/management/commands/populate_custom_taxonomies.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | osf/management/commands/populate_custom_taxonomies.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | import json
import logging
from django.core.management.base import BaseCommand
from django.db import transaction
from osf.models import AbstractProvider, PreprintProvider, Preprint, Subject
from osf.models.provider import rules_to_subjects
from scripts import utils as script_utils
from osf.models.validators import va... | 52.185053 | 228 | 0.694558 | 1,866 | 14,664 | 5.254555 | 0.149518 | 0.05283 | 0.017134 | 0.017134 | 0.344008 | 0.268638 | 0.209179 | 0.119735 | 0.089954 | 0.078123 | 0 | 0.001281 | 0.201582 | 14,664 | 280 | 229 | 52.371429 | 0.83618 | 0.045076 | 0 | 0.188341 | 0 | 0.017937 | 0.201129 | 0.014009 | 0 | 0 | 0 | 0.003571 | 0.058296 | 1 | 0.044843 | false | 0 | 0.040359 | 0 | 0.103139 | 0.107623 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7b36ab04da3147e45f62315611a09ce95152628 | 2,999 | py | Python | examples/animated_rsh.py | sophiaas/e3nn | 92351b9225df7aeaf70fdc124c7b0e566d4c0eda | [
"MIT"
] | 1 | 2021-01-11T18:34:39.000Z | 2021-01-11T18:34:39.000Z | examples/animated_rsh.py | sophiaas/e3nn | 92351b9225df7aeaf70fdc124c7b0e566d4c0eda | [
"MIT"
] | null | null | null | examples/animated_rsh.py | sophiaas/e3nn | 92351b9225df7aeaf70fdc124c7b0e566d4c0eda | [
"MIT"
] | null | null | null | # pylint: disable=not-callable, no-member, invalid-name, missing-docstring, line-too-long
import math
import os
import subprocess
import argparse
import shutil
import tqdm
import plotly.graph_objs as go
import torch
from e3nn import o3, rsh
def rsh_surface(l, m, scale, tr, rot):
n = 50
a = torch.linspace(0,... | 26.776786 | 118 | 0.518506 | 449 | 2,999 | 3.400891 | 0.347439 | 0.009168 | 0.007859 | 0.013752 | 0.068107 | 0.045842 | 0.014407 | 0 | 0 | 0 | 0 | 0.051527 | 0.3011 | 2,999 | 111 | 119 | 27.018018 | 0.677004 | 0.02901 | 0 | 0.022989 | 0 | 0 | 0.067698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022989 | false | 0 | 0.103448 | 0 | 0.137931 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7b491ed05c90e96397d418234149764a3bc7143 | 8,449 | py | Python | dataset.py | gzaraunitn/TA3N | d83ae5d9c8f4452ff69dd9002bb4016a695a4be8 | [
"MIT"
] | null | null | null | dataset.py | gzaraunitn/TA3N | d83ae5d9c8f4452ff69dd9002bb4016a695a4be8 | [
"MIT"
] | null | null | null | dataset.py | gzaraunitn/TA3N | d83ae5d9c8f4452ff69dd9002bb4016a695a4be8 | [
"MIT"
] | null | null | null | import torch.utils.data as data
import os
import os.path
import numpy as np
from numpy.random import randint
import torch
from colorama import init
from colorama import Fore, Back, Style
import random
from os import listdir
from os.path import join, splitext
import numpy as np
import torch
import torch.nn.functiona... | 34.345528 | 142 | 0.610486 | 1,099 | 8,449 | 4.474977 | 0.179254 | 0.03843 | 0.07015 | 0.019927 | 0.403823 | 0.354006 | 0.335706 | 0.299919 | 0.292192 | 0.292192 | 0 | 0.01038 | 0.293052 | 8,449 | 246 | 143 | 34.345528 | 0.812992 | 0.067464 | 0 | 0.195652 | 0 | 0 | 0.011101 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092391 | false | 0 | 0.097826 | 0.027174 | 0.282609 | 0.005435 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7b6cec7ff18c898066933b6660bdaa93907b21d | 7,368 | py | Python | dragonfly/opt/unittest_cp_random_multiobjective_optimiser.py | anonymous-submission000/mobo | 090f774d742c7155c5e5ba01c10e7db7b93b6a0a | [
"MIT"
] | 1 | 2022-02-17T08:50:47.000Z | 2022-02-17T08:50:47.000Z | dragonfly/opt/unittest_cp_random_multiobjective_optimiser.py | anonymous-submission000/mobo | 090f774d742c7155c5e5ba01c10e7db7b93b6a0a | [
"MIT"
] | null | null | null | dragonfly/opt/unittest_cp_random_multiobjective_optimiser.py | anonymous-submission000/mobo | 090f774d742c7155c5e5ba01c10e7db7b93b6a0a | [
"MIT"
] | null | null | null | """
Unit tests for Random CP optimiser on Cartesian product domains.
-- kandasamy@cs.cmu.edu
"""
# pylint: disable=invalid-name
# pylint: disable=abstract-class-little-used
import os
from . import random_multiobjective_optimiser
from ..exd.cp_domain_utils import get_raw_point_from_processed_point, \
load_co... | 48.794702 | 120 | 0.621607 | 799 | 7,368 | 5.423029 | 0.20776 | 0.036926 | 0.033233 | 0.025387 | 0.419802 | 0.399492 | 0.336026 | 0.266328 | 0.266328 | 0.256174 | 0 | 0.003595 | 0.282709 | 7,368 | 150 | 121 | 49.12 | 0.816272 | 0.084826 | 0 | 0.256881 | 0 | 0 | 0.100661 | 0.013221 | 0 | 0 | 0 | 0 | 0.027523 | 1 | 0.091743 | false | 0.009174 | 0.082569 | 0 | 0.211009 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7b7563d85b1f23ad406817127e2c0f401a6930a | 2,817 | py | Python | corehq/apps/app_manager/app_schemas/casedb_schema.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 1 | 2020-07-14T13:00:23.000Z | 2020-07-14T13:00:23.000Z | corehq/apps/app_manager/app_schemas/casedb_schema.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 94 | 2020-12-11T06:57:31.000Z | 2022-03-15T10:24:06.000Z | corehq/apps/app_manager/app_schemas/casedb_schema.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | null | null | null | from corehq import toggles
from corehq.apps.app_manager.app_schemas.case_properties import (
ParentCasePropertyBuilder,
get_usercase_properties,
)
from corehq.apps.app_manager.const import USERCASE_TYPE
from corehq.apps.app_manager.util import is_usercase_in_use
from corehq.apps.data_dictionary.util import get_... | 39.125 | 104 | 0.635428 | 341 | 2,817 | 5.029326 | 0.331378 | 0.037318 | 0.034985 | 0.029738 | 0.076968 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004704 | 0.245296 | 2,817 | 71 | 105 | 39.676056 | 0.801976 | 0.15016 | 0 | 0 | 0 | 0 | 0.092172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.092593 | 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 |
f7b8c19ee74b54f26fc920af5e0e656df23e85a5 | 3,597 | py | Python | bookshelf/bookshelf/model_aerospike.py | fakeskimo/as2bt | 0872192e703a2992dea7bee2bf2544727d6094ee | [
"Apache-2.0"
] | null | null | null | bookshelf/bookshelf/model_aerospike.py | fakeskimo/as2bt | 0872192e703a2992dea7bee2bf2544727d6094ee | [
"Apache-2.0"
] | null | null | null | bookshelf/bookshelf/model_aerospike.py | fakeskimo/as2bt | 0872192e703a2992dea7bee2bf2544727d6094ee | [
"Apache-2.0"
] | null | null | null | import math
import aerospike
from aerospike import predicates as p
from aerospike import exception as ex
from flask import current_app
aerospike_host = current_app.config['AEROSPIKE_HOST']
aerospike_port = current_app.config['AEROSPIKE_PORT']
namespace = current_app.config['AEROSPIKE_NAMESPACE']
set_name = current_... | 22.341615 | 96 | 0.626633 | 485 | 3,597 | 4.517526 | 0.268041 | 0.028754 | 0.058421 | 0.045641 | 0.358284 | 0.358284 | 0.330899 | 0.282976 | 0.282976 | 0.282976 | 0 | 0.02161 | 0.253823 | 3,597 | 160 | 97 | 22.48125 | 0.794709 | 0.211843 | 0 | 0.27451 | 0 | 0 | 0.049273 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078431 | false | 0.009804 | 0.04902 | 0 | 0.215686 | 0.019608 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7b8e6d755230cb8c58e980bba16ad5edecee7d7 | 1,437 | py | Python | examples/EC2.py | nimRobotics/fnirslib | 0273c0da5f4a41d7cf4dac0fc9686c38f2c7b0cd | [
"MIT"
] | null | null | null | examples/EC2.py | nimRobotics/fnirslib | 0273c0da5f4a41d7cf4dac0fc9686c38f2c7b0cd | [
"MIT"
] | null | null | null | examples/EC2.py | nimRobotics/fnirslib | 0273c0da5f4a41d7cf4dac0fc9686c38f2c7b0cd | [
"MIT"
] | null | null | null | """
author: @nimrobotics
description: calculates the effective connectivity between regions and plots them
"""
import numpy as np
import scipy.io
import glob
import sys
sys.path.append('../utils')
from plots import plotData
dir = "./process3/" #directory of the data
outdir = 'process3/' #directory to save the plots
r... | 31.933333 | 133 | 0.659708 | 206 | 1,437 | 4.553398 | 0.402913 | 0.059701 | 0.031983 | 0.036247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010265 | 0.1865 | 1,437 | 44 | 134 | 32.659091 | 0.79213 | 0.308977 | 0 | 0 | 0 | 0 | 0.170103 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16129 | 0 | 0.16129 | 0.290323 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7bb92af288264a3c094d6c7636074324c8ab56d | 12,847 | py | Python | gcp/docker/infrastructure/rapids_lib.py | ethem-kinginthenorth/cloud-ml-examples | e434d2bdbf2adf058dc436f992a56585537dc8ab | [
"Apache-2.0"
] | 1 | 2022-03-23T05:10:45.000Z | 2022-03-23T05:10:45.000Z | gcp/docker/infrastructure/rapids_lib.py | ethem-kinginthenorth/cloud-ml-examples | e434d2bdbf2adf058dc436f992a56585537dc8ab | [
"Apache-2.0"
] | null | null | null | gcp/docker/infrastructure/rapids_lib.py | ethem-kinginthenorth/cloud-ml-examples | e434d2bdbf2adf058dc436f992a56585537dc8ab | [
"Apache-2.0"
] | null | null | null | # os
import sys, os, time, logging
# CPU DS stack
import pandas as pd
import numpy as np
import sklearn
# GPU DS stack [ rapids ]
import gcsfs
# scaling library
import dask
# data ingestion [ CPU ]
from pyarrow import orc as pyarrow_orc
# ML models
from sklearn import ensemble
import xgboost
# data set splits
fro... | 38.57958 | 138 | 0.599829 | 1,558 | 12,847 | 4.681001 | 0.202182 | 0.016454 | 0.029617 | 0.040998 | 0.317291 | 0.264637 | 0.18223 | 0.116002 | 0.102564 | 0.091869 | 0 | 0.004406 | 0.293298 | 12,847 | 332 | 139 | 38.695783 | 0.798877 | 0.070444 | 0 | 0.220183 | 0 | 0.009174 | 0.134243 | 0.018486 | 0 | 0 | 0 | 0.003012 | 0.004587 | 1 | 0.100917 | false | 0.013761 | 0.077982 | 0 | 0.238532 | 0.050459 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7bc4cc67a214b3d1cc41c823e3eb37e1f5d2531 | 5,011 | py | Python | docs/making_widgets_from_scratch/line_clock.py | Rahuum/glooey | 932edca1c8fdd710f1941038e47ac8d25a31a1a8 | [
"MIT"
] | 86 | 2016-11-28T12:34:28.000Z | 2022-03-17T13:49:49.000Z | docs/making_widgets_from_scratch/line_clock.py | Rahuum/glooey | 932edca1c8fdd710f1941038e47ac8d25a31a1a8 | [
"MIT"
] | 57 | 2017-03-07T10:11:52.000Z | 2022-01-16T19:35:33.000Z | docs/making_widgets_from_scratch/line_clock.py | Rahuum/glooey | 932edca1c8fdd710f1941038e47ac8d25a31a1a8 | [
"MIT"
] | 9 | 2017-03-15T18:55:50.000Z | 2022-02-17T14:52:49.000Z | #!/usr/bin/env python3
import pyglet
import glooey
import autoprop
import datetime
from pyglet.gl import *
from vecrec import Vector, Rect
@autoprop
class LineClock(glooey.Widget):
custom_radius = 50
custom_color = 'green'
custom_hour_hand_width = 3
custom_minute_hand_width = 2
custom_second_hand_... | 28.151685 | 79 | 0.580124 | 638 | 5,011 | 4.382445 | 0.315047 | 0.035408 | 0.025036 | 0.012876 | 0.083333 | 0.037196 | 0.037196 | 0.037196 | 0 | 0 | 0 | 0.019747 | 0.32289 | 5,011 | 177 | 80 | 28.310734 | 0.803419 | 0.162842 | 0 | 0.07563 | 0 | 0 | 0.009816 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.05042 | 0.016807 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7bd2e55648aaa2a1a246e97711c0fc010416b3b | 5,711 | py | Python | scripts/sighan/generate.py | piglaker/SpecialEdition | 172688ef111e1b5c62bdb1ba0a523a2654201b90 | [
"Apache-2.0"
] | 2 | 2022-01-06T07:41:50.000Z | 2022-01-22T14:18:51.000Z | scripts/sighan/generate.py | piglaker/SpecialEdition | 172688ef111e1b5c62bdb1ba0a523a2654201b90 | [
"Apache-2.0"
] | null | null | null | scripts/sighan/generate.py | piglaker/SpecialEdition | 172688ef111e1b5c62bdb1ba0a523a2654201b90 | [
"Apache-2.0"
] | null | null | null | import os
import re
import sys
import json
#upper import
sys.path.append("../../")
from utils import levenshtein
from utils.io import load_json, write_to
def strQ2B(ustring):
"""全角转半角"""
rstring = ""
for uchar in ustring:
inside_code=ord(uchar)
if inside_code == 12288: ... | 33.994048 | 179 | 0.629487 | 728 | 5,711 | 4.700549 | 0.188187 | 0.048217 | 0.06955 | 0.063121 | 0.346873 | 0.279369 | 0.207189 | 0.179719 | 0.078317 | 0.078317 | 0 | 0.025128 | 0.212572 | 5,711 | 167 | 180 | 34.197605 | 0.735824 | 0.150937 | 0 | 0.07619 | 0 | 0 | 0.128301 | 0.049491 | 0 | 0 | 0 | 0 | 0.009524 | 1 | 0.047619 | false | 0 | 0.057143 | 0 | 0.142857 | 0.057143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7c03e8c3283127463ae5c11c8faf6e12bf38615 | 1,951 | py | Python | meta_middleware/meta_middleware/middleware.py | kevin-wyx/ProxyFS | 76d9478c9e87c18950f2e4659b397a397fb1ac69 | [
"Apache-2.0"
] | null | null | null | meta_middleware/meta_middleware/middleware.py | kevin-wyx/ProxyFS | 76d9478c9e87c18950f2e4659b397a397fb1ac69 | [
"Apache-2.0"
] | null | null | null | meta_middleware/meta_middleware/middleware.py | kevin-wyx/ProxyFS | 76d9478c9e87c18950f2e4659b397a397fb1ac69 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 SwiftStack, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 34.22807 | 112 | 0.633521 | 256 | 1,951 | 4.695313 | 0.453125 | 0.049917 | 0.021631 | 0.026622 | 0.138103 | 0.0599 | 0 | 0 | 0 | 0 | 0 | 0.005682 | 0.278319 | 1,951 | 56 | 113 | 34.839286 | 0.848011 | 0.333675 | 0 | 0.121212 | 0 | 0 | 0.085737 | 0.072486 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151515 | false | 0 | 0 | 0.030303 | 0.30303 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7c417316d84349935d37272663f36b5a52c49ff | 1,165 | py | Python | drogher/package/fedex.py | thisisnotmyuserid/drogher | f8ea5e34dad6a2e9f22608b4ae4a6f7032133e45 | [
"BSD-3-Clause"
] | 13 | 2017-04-24T07:49:30.000Z | 2020-09-22T13:13:13.000Z | drogher/package/fedex.py | thisisnotmyuserid/drogher | f8ea5e34dad6a2e9f22608b4ae4a6f7032133e45 | [
"BSD-3-Clause"
] | null | null | null | drogher/package/fedex.py | thisisnotmyuserid/drogher | f8ea5e34dad6a2e9f22608b4ae4a6f7032133e45 | [
"BSD-3-Clause"
] | 4 | 2018-09-08T05:31:57.000Z | 2022-02-10T17:42:31.000Z | import itertools
from .base import Package
class FedEx(Package):
shipper = 'FedEx'
class FedExExpress(FedEx):
barcode_pattern = r'^\d{34}$'
@property
def tracking_number(self):
return self.barcode[20:22].lstrip('0') + self.barcode[22:]
@property
def valid_checksum(self):
c... | 25.326087 | 80 | 0.574249 | 145 | 1,165 | 4.517241 | 0.351724 | 0.128244 | 0.109924 | 0.116031 | 0.387786 | 0.387786 | 0.387786 | 0.387786 | 0.247328 | 0.247328 | 0 | 0.045232 | 0.297854 | 1,165 | 45 | 81 | 25.888889 | 0.755501 | 0 | 0 | 0.294118 | 0 | 0 | 0.020601 | 0 | 0 | 0 | 0.002575 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0.058824 | 0.470588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7c5189c4c9985714dd619cfadbc0baf92efab39 | 5,099 | py | Python | MFSDA/MFSDA_run.py | bpaniagua/MFSDA_Python | d7e439fe670d5e2731c9ec722919a74f67b01e30 | [
"Apache-2.0"
] | 3 | 2020-08-10T08:57:36.000Z | 2021-04-04T01:12:50.000Z | MFSDA/MFSDA_run.py | bpaniagua/MFSDA_Python | d7e439fe670d5e2731c9ec722919a74f67b01e30 | [
"Apache-2.0"
] | 17 | 2018-08-03T14:25:52.000Z | 2022-02-06T18:19:39.000Z | MFSDA/MFSDA_run.py | bpaniagua/MFSDA_Python | d7e439fe670d5e2731c9ec722919a74f67b01e30 | [
"Apache-2.0"
] | 13 | 2017-11-14T17:22:32.000Z | 2020-12-10T16:55:58.000Z | #!/usr/bin/env python-real
# -*- coding: utf-8 -*-
"""
Run script: multivariate functional shape data analysis (MFSDA).
Author: Chao Huang (chaohuang.stat@gmail.com)
Last update: 2017-08-14
"""
import sys,os
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)),os.path.join('Resources','Libraries')... | 29.818713 | 130 | 0.642871 | 631 | 5,099 | 5.049128 | 0.33439 | 0.024168 | 0.012555 | 0.010358 | 0.220967 | 0.175769 | 0.134338 | 0.097928 | 0.074702 | 0.074702 | 0 | 0.00646 | 0.21063 | 5,099 | 170 | 131 | 29.994118 | 0.785093 | 0.061188 | 0 | 0.130841 | 0 | 0 | 0.136885 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028037 | false | 0 | 0.140187 | 0 | 0.17757 | 0.084112 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7c72117e015e7f0761f5162d10f3d3cf0ddb74f | 1,671 | py | Python | modules/mongodb_atlas/mongodb_atlas.py | riddopic/opta | 25fa6435fdc7e2ea9c7963ed74100fffb0743063 | [
"Apache-2.0"
] | 595 | 2021-05-21T22:30:48.000Z | 2022-03-31T15:40:25.000Z | modules/mongodb_atlas/mongodb_atlas.py | riddopic/opta | 25fa6435fdc7e2ea9c7963ed74100fffb0743063 | [
"Apache-2.0"
] | 463 | 2021-05-24T21:32:59.000Z | 2022-03-31T17:12:33.000Z | modules/mongodb_atlas/mongodb_atlas.py | riddopic/opta | 25fa6435fdc7e2ea9c7963ed74100fffb0743063 | [
"Apache-2.0"
] | 29 | 2021-05-21T22:27:52.000Z | 2022-03-28T16:43:45.000Z | import os
from typing import TYPE_CHECKING
from modules.base import ModuleProcessor
from opta.core.terraform import get_terraform_outputs
from opta.exceptions import UserErrors
if TYPE_CHECKING:
from opta.layer import Layer
from opta.module import Module
class MongodbAtlasProcessor(ModuleProcessor):
def... | 37.133333 | 98 | 0.663076 | 206 | 1,671 | 5.160194 | 0.393204 | 0.075259 | 0.065851 | 0.053622 | 0.113829 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000779 | 0.232196 | 1,671 | 44 | 99 | 37.977273 | 0.827747 | 0.01915 | 0 | 0 | 0 | 0 | 0.187538 | 0.029933 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.212121 | 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 |
f7c994df8beeb9e54af1a6918047db78eb8494b2 | 1,389 | py | Python | lambdas/budget-handler/lambda_handler.py | weAllWeGot/personal_financial_engine | 37c89e49aa68d6db48c10d6663135f4992a72171 | [
"Apache-2.0"
] | 2 | 2018-08-18T16:41:43.000Z | 2020-12-20T21:29:49.000Z | lambdas/budget-handler/lambda_handler.py | weallwegot/personal_financial_engine | 37c89e49aa68d6db48c10d6663135f4992a72171 | [
"Apache-2.0"
] | 12 | 2018-07-25T16:56:48.000Z | 2019-10-22T01:16:23.000Z | lambdas/budget-handler/lambda_handler.py | weAllWeGot/personal_financial_engine | 37c89e49aa68d6db48c10d6663135f4992a72171 | [
"Apache-2.0"
] | 4 | 2018-12-07T23:50:12.000Z | 2021-04-16T20:49:08.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import boto3
import csv
import json
import logging
from budget_retrieval import get_budget
from budget_placement import place_budget
def respond(err, res=None):
return {
'statusCode': '400' if err else '200',
'body': err.message if err else json.dumps... | 28.346939 | 84 | 0.645068 | 174 | 1,389 | 5.086207 | 0.534483 | 0.023729 | 0.020339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008264 | 0.215983 | 1,389 | 48 | 85 | 28.9375 | 0.804408 | 0.214543 | 0 | 0 | 0 | 0 | 0.219512 | 0.055347 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.214286 | 0.035714 | 0.357143 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7ca0211e8a92052407acbaa028f0ad46e74b5f9 | 1,451 | py | Python | src/documenteer/stackdocs/doxygentag.py | lsst-sqre/sphinxkit | a9475d0722b0f6f89fd1c4c54eafad0564667b0b | [
"MIT"
] | 3 | 2019-04-18T02:47:06.000Z | 2021-11-09T03:49:12.000Z | src/documenteer/stackdocs/doxygentag.py | lsst-sqre/sphinxkit | a9475d0722b0f6f89fd1c4c54eafad0564667b0b | [
"MIT"
] | 29 | 2016-12-15T01:02:05.000Z | 2022-03-07T12:06:40.000Z | src/documenteer/stackdocs/doxygentag.py | lsst-sqre/sphinxkit | a9475d0722b0f6f89fd1c4c54eafad0564667b0b | [
"MIT"
] | 2 | 2016-09-12T17:44:06.000Z | 2016-12-15T00:37:05.000Z | """Utilities for working with Doxygen tag files.
"""
__all__ = ["get_tag_entity_names"]
import xml.etree.ElementTree as ET
from pathlib import Path
from typing import List, Optional, Sequence, Union
try:
from sphinxcontrib.doxylink import doxylink
except ImportError:
print(
"sphinxcontrib.doxylink is... | 24.183333 | 74 | 0.598208 | 176 | 1,451 | 4.835227 | 0.465909 | 0.035253 | 0.028202 | 0.039953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.305307 | 1,451 | 59 | 75 | 24.59322 | 0.844246 | 0.360441 | 0 | 0.076923 | 0 | 0 | 0.169287 | 0.053204 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.192308 | 0 | 0.269231 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7cadf89eeb52e1e8b7bf3ad6d819d4964e7f62f | 1,263 | py | Python | src/gamesbyexample/shellgame.py | skinzor/PythonStdioGames | 75f27af19d7f1d555b0fd85fbcf215f07660b93f | [
"MIT"
] | 1 | 2019-11-30T17:04:09.000Z | 2019-11-30T17:04:09.000Z | src/gamesbyexample/shellgame.py | skinzor/PythonStdioGames | 75f27af19d7f1d555b0fd85fbcf215f07660b93f | [
"MIT"
] | null | null | null | src/gamesbyexample/shellgame.py | skinzor/PythonStdioGames | 75f27af19d7f1d555b0fd85fbcf215f07660b93f | [
"MIT"
] | null | null | null | # Shell Game, by Al Sweigart al@inventwithpython.com
# A random gambling game.
import random, time, sys
print('''SHELL GAME
By Al Sweigart al@inventwithpython.com
Try to find the diamond!
Press Enter to continue...''')
input()
CUPS = ['diamond', 'pocket lint', 'nothing']
while True:
print()
print('Shufflin... | 26.3125 | 93 | 0.599367 | 174 | 1,263 | 4.350575 | 0.488506 | 0.047556 | 0.05284 | 0.058124 | 0.207398 | 0.207398 | 0.207398 | 0.207398 | 0.096433 | 0.096433 | 0 | 0.013598 | 0.243072 | 1,263 | 47 | 94 | 26.87234 | 0.778243 | 0.119557 | 0 | 0.342857 | 0 | 0 | 0.30533 | 0.020777 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.028571 | 0 | 0.028571 | 0.4 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7cbba72cbee5b92ee9bed0dc914113ae1d6f2e4 | 1,242 | py | Python | main.py | mathew4STAR/GPT-3_based_AI | 7c5ffcd26ebbd64ee1f6fa02ec4a8529c795b809 | [
"MIT"
] | null | null | null | main.py | mathew4STAR/GPT-3_based_AI | 7c5ffcd26ebbd64ee1f6fa02ec4a8529c795b809 | [
"MIT"
] | null | null | null | main.py | mathew4STAR/GPT-3_based_AI | 7c5ffcd26ebbd64ee1f6fa02ec4a8529c795b809 | [
"MIT"
] | null | null | null | import pyttsx3
import speech_recognition as sr
import openai as op
import os
op.api_key = os.getenv("OPENAI_API_KEY")
engine = pyttsx3.init()
engine.setProperty('rate', 150)
engine.setProperty('volume', 1.0)
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id)
def tell(text):
engine.s... | 24.84 | 154 | 0.638486 | 155 | 1,242 | 5.051613 | 0.6 | 0.065134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023134 | 0.2343 | 1,242 | 50 | 155 | 24.84 | 0.80021 | 0 | 0 | 0 | 0 | 0.02439 | 0.193081 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.097561 | 0 | 0.195122 | 0.121951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7cdc28f8dbf0a5fa40122f9a836204bf7e9435a | 500 | py | Python | bgp_adjacencies/BGP_check_job.py | KamyarZiabari/solutions_examples | 3dfa80d276ab13d1e489142a3fcbe2bd8ab0eba2 | [
"Apache-2.0"
] | 59 | 2019-03-08T15:08:14.000Z | 2021-12-23T15:59:03.000Z | bgp_adjacencies/BGP_check_job.py | CiscoTestAutomation/genie_solutions | 69c96f57dce466bcd767bd1ea6326aaf6a63fbcf | [
"Apache-2.0"
] | 8 | 2019-04-05T04:29:17.000Z | 2021-04-12T15:37:51.000Z | bgp_adjacencies/BGP_check_job.py | CiscoTestAutomation/genie_solutions | 69c96f57dce466bcd767bd1ea6326aaf6a63fbcf | [
"Apache-2.0"
] | 37 | 2019-03-15T21:35:38.000Z | 2022-03-22T01:49:59.000Z | # To run the job:
# pyats run job BGP_check_job.py --testbed-file <testbed_file.yaml>
# Description: This job file checks that all BGP neighbors are in Established state
import os
# All run() must be inside a main function
def main(runtime):
# Find the location of the script in relation to the job file
bgp_tes... | 38.461538 | 83 | 0.708 | 76 | 500 | 4.513158 | 0.565789 | 0.034985 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216 | 500 | 12 | 84 | 41.666667 | 0.875 | 0.574 | 0 | 0 | 0 | 0 | 0.135922 | 0.135922 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7cddf9b0d9e1e72530d863ce9c077212cea7e97 | 858 | py | Python | tvae/utils/logging.py | ReallyAnonNeurips2021/TopographicVAE | 97ba47c039f7eab05ce9e17c3faea0a6ec86f1eb | [
"MIT"
] | 57 | 2021-09-02T13:20:43.000Z | 2022-03-17T18:35:55.000Z | tvae/utils/logging.py | ReallyAnonNeurips2021/TopographicVAE | 97ba47c039f7eab05ce9e17c3faea0a6ec86f1eb | [
"MIT"
] | 2 | 2021-09-07T13:06:40.000Z | 2022-03-04T11:54:22.000Z | tvae/utils/logging.py | ReallyAnonNeurips2021/TopographicVAE | 97ba47c039f7eab05ce9e17c3faea0a6ec86f1eb | [
"MIT"
] | 8 | 2021-09-07T14:48:25.000Z | 2022-03-12T05:44:32.000Z | import os
def get_dirs():
cwd = os.path.dirname(os.path.realpath(__file__))
local_savedir = cwd
local_datadir = cwd
local_wandbdir = cwd
return local_savedir, local_datadir, local_wandbdir
def configure_logging(config, name, model):
if config['wandb_on']:
import wandb
wandb... | 24.514286 | 71 | 0.56993 | 101 | 858 | 4.633663 | 0.386139 | 0.064103 | 0.057692 | 0.051282 | 0.102564 | 0.102564 | 0.102564 | 0.102564 | 0 | 0 | 0 | 0 | 0.312354 | 858 | 34 | 72 | 25.235294 | 0.79322 | 0 | 0 | 0.16 | 0 | 0 | 0.121212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.08 | 0 | 0.32 | 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 |
f7ce40df7d33d5f39e5868a59d46a085bed7cd64 | 3,408 | py | Python | src/models/modules/visual_bert_classifier.py | inzva/emotion-recognition-drawings | 56435f42d76c10c10fa58149ccbcc8d05efccdc0 | [
"MIT"
] | 10 | 2021-11-20T19:01:08.000Z | 2022-01-16T09:06:12.000Z | src/models/modules/visual_bert_classifier.py | inzva/emotion-recognition-drawings | 56435f42d76c10c10fa58149ccbcc8d05efccdc0 | [
"MIT"
] | 2 | 2021-12-11T12:28:03.000Z | 2021-12-13T21:09:53.000Z | src/models/modules/visual_bert_classifier.py | inzva/emotion-recognition-drawings | 56435f42d76c10c10fa58149ccbcc8d05efccdc0 | [
"MIT"
] | null | null | null | import torch
from torch import nn
from transformers import BertTokenizer, VisualBertModel, VisualBertConfig
import numpy as np
class VisualBertClassifier(nn.Module):
def __init__(self,
visual_bert_model,
num_classes: int = 8,
initial_visual_embedding_dim: int = 9... | 46.054054 | 169 | 0.667254 | 403 | 3,408 | 5.275434 | 0.342432 | 0.073377 | 0.062088 | 0.042333 | 0.208373 | 0.174036 | 0.160395 | 0.146284 | 0.088429 | 0.088429 | 0 | 0.00872 | 0.259683 | 3,408 | 73 | 170 | 46.684932 | 0.833532 | 0.15757 | 0 | 0.148148 | 0 | 0.018519 | 0.087487 | 0.046253 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 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 |
f7d0423ade6b86198698a9b5f2ef5a03964e0231 | 288 | py | Python | kobra/settings/development.py | karservice/kobra | 2019fd3be499c06d2527e80576fd6ff03d8fe151 | [
"MIT"
] | 4 | 2016-08-28T16:00:20.000Z | 2018-01-31T18:22:43.000Z | kobra/settings/development.py | karservice/kobra | 2019fd3be499c06d2527e80576fd6ff03d8fe151 | [
"MIT"
] | 25 | 2016-08-15T20:57:59.000Z | 2022-02-10T18:14:48.000Z | kobra/settings/development.py | karservice/kobra | 2019fd3be499c06d2527e80576fd6ff03d8fe151 | [
"MIT"
] | 1 | 2017-02-06T17:13:16.000Z | 2017-02-06T17:13:16.000Z | # -*- coding: utf-8 -*-
from . import *
SECRET_KEY = env.str('KOBRA_SECRET_KEY',
'Unsafe_development_key._Never_use_in_production.')
DEBUG = env.bool('KOBRA_DEBUG_MODE', True)
DATABASES = {
'default': env.db_url('KOBRA_DATABASE_URL', 'sqlite:///db.sqlite3')
}
| 24 | 72 | 0.652778 | 37 | 288 | 4.702703 | 0.72973 | 0.103448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008475 | 0.180556 | 288 | 11 | 73 | 26.181818 | 0.728814 | 0.072917 | 0 | 0 | 0 | 0 | 0.471698 | 0.181132 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7d06f7dd5791848e16c5019b980180600add19a | 4,153 | py | Python | foobot_grapher.py | jpwright/foobot-slack | ffc1cf8490d08433d76bb62cbf7440c765089784 | [
"MIT"
] | 1 | 2018-02-17T14:29:41.000Z | 2018-02-17T14:29:41.000Z | foobot_grapher.py | jpwright/foobot-slack | ffc1cf8490d08433d76bb62cbf7440c765089784 | [
"MIT"
] | null | null | null | foobot_grapher.py | jpwright/foobot-slack | ffc1cf8490d08433d76bb62cbf7440c765089784 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from pyfoobot import Foobot
import requests
import matplotlib
matplotlib.use('Agg')
import matplotlib.dates
import matplotlib.pyplot
import datetime
from imgurpython import ImgurClient
import ConfigParser
def getSensorReadings(notify):
config = ConfigParser.ConfigParser()
config.read("config.... | 27.503311 | 179 | 0.675415 | 545 | 4,153 | 4.983486 | 0.317431 | 0.005891 | 0.006627 | 0.005891 | 0.233432 | 0.183358 | 0.173785 | 0.153166 | 0.153166 | 0.153166 | 0 | 0.020339 | 0.147604 | 4,153 | 150 | 180 | 27.686667 | 0.746893 | 0.004816 | 0 | 0.163793 | 0 | 0 | 0.207648 | 0.010165 | 0.008621 | 0 | 0 | 0 | 0 | 1 | 0.008621 | false | 0.025862 | 0.068966 | 0 | 0.086207 | 0.008621 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7d511ad2e6640e470287dff8220becb4fa1880a | 1,871 | py | Python | src/quality_control/bin/createSpotDetectionQCHTML.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | src/quality_control/bin/createSpotDetectionQCHTML.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | src/quality_control/bin/createSpotDetectionQCHTML.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | import json
from bs4 import BeautifulSoup
import pandas as pd
import sys
# Argparsing
argument_index = 1
template = sys.argv[argument_index]
argument_index +=1
recall_json = sys.argv[argument_index]
argument_index +=1
recall_plot = sys.argv[argument_index]
argument_index +=1
precision_jsons_list = [sys.argv[i] for ... | 27.115942 | 82 | 0.772314 | 294 | 1,871 | 4.605442 | 0.268707 | 0.076809 | 0.041359 | 0.044313 | 0.298375 | 0.271787 | 0.255539 | 0.17873 | 0.119645 | 0.073855 | 0 | 0.009058 | 0.114912 | 1,871 | 68 | 83 | 27.514706 | 0.808575 | 0.060396 | 0 | 0.212766 | 0 | 0 | 0.070205 | 0.02911 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085106 | 0 | 0.085106 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7d8d7b6d6bbc7f8a6c1802ec8a9bedc82cb072a | 5,799 | py | Python | compyle/tests/test_ext_module.py | manish364824/compyle | cc97dd0a0e7b12f904b3f1c0f20aa06a41779c61 | [
"BSD-3-Clause"
] | 1 | 2020-11-23T12:13:04.000Z | 2020-11-23T12:13:04.000Z | compyle/tests/test_ext_module.py | manish364824/compyle | cc97dd0a0e7b12f904b3f1c0f20aa06a41779c61 | [
"BSD-3-Clause"
] | null | null | null | compyle/tests/test_ext_module.py | manish364824/compyle | cc97dd0a0e7b12f904b3f1c0f20aa06a41779c61 | [
"BSD-3-Clause"
] | null | null | null | from contextlib import contextmanager
from distutils.sysconfig import get_config_var
from io import open as io_open
import os
from os.path import join, exists
import shutil
import sys
import tempfile
from textwrap import dedent
from multiprocessing import Pool
from unittest import TestCase, main
try:
from unittest... | 29.436548 | 76 | 0.607174 | 761 | 5,799 | 4.442838 | 0.261498 | 0.035492 | 0.033126 | 0.011535 | 0.346051 | 0.303461 | 0.247856 | 0.228335 | 0.192842 | 0.192842 | 0 | 0.004622 | 0.291085 | 5,799 | 196 | 77 | 29.586735 | 0.817806 | 0.135886 | 0 | 0.343511 | 0 | 0 | 0.060113 | 0.009449 | 0 | 0 | 0 | 0 | 0.167939 | 1 | 0.10687 | false | 0.007634 | 0.122137 | 0 | 0.282443 | 0.015267 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7db3778ef11768f9b2aff72c3bc714173c0ef05 | 5,286 | py | Python | tma/collector/xhn.py | hebpmo/TMA | b07747d3112e822ff92dd2ba4589d2288adab154 | [
"MIT"
] | 2 | 2020-02-15T18:31:39.000Z | 2020-03-18T13:30:58.000Z | tma/collector/xhn.py | hebpmo/TMA | b07747d3112e822ff92dd2ba4589d2288adab154 | [
"MIT"
] | null | null | null | tma/collector/xhn.py | hebpmo/TMA | b07747d3112e822ff92dd2ba4589d2288adab154 | [
"MIT"
] | 1 | 2021-02-13T19:14:39.000Z | 2021-02-13T19:14:39.000Z | # -*- coding: UTF-8 -*-
"""
collector.xhn - 新华网数据采集
官网:http://www.xinhuanet.com/
接口分析:
1. 获取文章列表
http://qc.wa.news.cn/nodeart/list?nid=115093&pgnum=1&cnt=10000
新华全媒体头条
http://www.xinhuanet.com/politics/qmtt/index.htm
====================================================================
"""
import requests
import re... | 28.26738 | 81 | 0.531782 | 651 | 5,286 | 4.199693 | 0.293395 | 0.048281 | 0.058522 | 0.069495 | 0.259327 | 0.190198 | 0.171178 | 0.147037 | 0.147037 | 0.147037 | 0 | 0.023294 | 0.301551 | 5,286 | 186 | 82 | 28.419355 | 0.717226 | 0.139236 | 0 | 0.127119 | 0 | 0 | 0.143598 | 0.011046 | 0 | 0 | 0 | 0 | 0.008475 | 1 | 0.067797 | false | 0 | 0.076271 | 0 | 0.211864 | 0.016949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7dbb6eabf0492827bece2fbca9d7d345965609a | 995 | py | Python | tests/test_onetv.py | unlocKing/plugins | e5cee730c22a049cfd0e3873389c82e8ab5f7c41 | [
"BSD-2-Clause"
] | 2 | 2021-09-02T21:29:48.000Z | 2021-09-20T07:05:08.000Z | tests/test_onetv.py | unlocKing/plugins | e5cee730c22a049cfd0e3873389c82e8ab5f7c41 | [
"BSD-2-Clause"
] | null | null | null | tests/test_onetv.py | unlocKing/plugins | e5cee730c22a049cfd0e3873389c82e8ab5f7c41 | [
"BSD-2-Clause"
] | null | null | null | import unittest
from plugins.onetv import OneTV
class TestPluginPerviyKanal(unittest.TestCase):
def test_can_handle_url(self):
regex_test_list = [
"https://media.1tv.ru/embed/ctcmedia/ctc-che.html?start=auto",
"https://media.1tv.ru/embed/ctcmedia/ctc-dom.html?start=auto",
... | 36.851852 | 75 | 0.577889 | 130 | 995 | 4.353846 | 0.346154 | 0.070671 | 0.114841 | 0.132509 | 0.376325 | 0.316254 | 0.316254 | 0.261484 | 0.155477 | 0.155477 | 0 | 0.013333 | 0.246231 | 995 | 26 | 76 | 38.269231 | 0.741333 | 0 | 0 | 0 | 0 | 0.136364 | 0.509548 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 1 | 0.045455 | false | 0 | 0.090909 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7de06300594a810a1f4175db45d6b833ced1a94 | 7,940 | py | Python | src/compas/geometry/pointclouds/pointcloud.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | src/compas/geometry/pointclouds/pointcloud.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | src/compas/geometry/pointclouds/pointcloud.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from random import uniform
from compas.geometry import transform_points
from compas.geometry import centroid_points
from compas.geometry import bounding_box
from compas.geometry import Primitive
from compas.geo... | 27.957746 | 114 | 0.500756 | 893 | 7,940 | 4.370661 | 0.194849 | 0.048681 | 0.043812 | 0.036895 | 0.3505 | 0.310018 | 0.310018 | 0.26185 | 0.243403 | 0.20164 | 0 | 0.007931 | 0.317128 | 7,940 | 283 | 115 | 28.056537 | 0.711914 | 0.422544 | 0 | 0.295652 | 0 | 0 | 0.015931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.182609 | false | 0.017391 | 0.095652 | 0.078261 | 0.417391 | 0.008696 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7de36b7d46515af7a1b6676baaac3b4ccaf3705 | 4,366 | py | Python | oa/regex.py | Worteks/OrangeAssassin | 21baf0b84fbedd887f6d88e13c624f14fb0b5e06 | [
"Apache-2.0"
] | null | null | null | oa/regex.py | Worteks/OrangeAssassin | 21baf0b84fbedd887f6d88e13c624f14fb0b5e06 | [
"Apache-2.0"
] | null | null | null | oa/regex.py | Worteks/OrangeAssassin | 21baf0b84fbedd887f6d88e13c624f14fb0b5e06 | [
"Apache-2.0"
] | null | null | null | """Handle regex conversions."""
from builtins import object
import re
import operator
from functools import reduce
import oa.errors
# Map of perl flags and the corresponding re ones.
FLAGS = {
"i": re.IGNORECASE,
"s": re.DOTALL,
"m": re.MULTILINE,
"x": re.VERBOSE,
}
DELIMS = {
"/": "/",
"{"... | 28.535948 | 81 | 0.574668 | 518 | 4,366 | 4.795367 | 0.310811 | 0.036232 | 0.05475 | 0.040258 | 0.285024 | 0.230676 | 0.170692 | 0.140097 | 0.140097 | 0.111111 | 0 | 0.005773 | 0.285845 | 4,366 | 152 | 82 | 28.723684 | 0.790892 | 0.097572 | 0 | 0.122642 | 0 | 0 | 0.242385 | 0.00947 | 0 | 0 | 0 | 0 | 0 | 1 | 0.141509 | false | 0 | 0.056604 | 0.09434 | 0.367925 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7dec0cd3c585519d06741f3516a5564ea368e83 | 1,749 | py | Python | test_data/barometer_kalman.py | theo-brown/ahrs | cd9c9e0bbf9db7fd67a297e1aafa8518bf17050d | [
"MIT"
] | 1 | 2022-01-19T14:20:05.000Z | 2022-01-19T14:20:05.000Z | test_data/barometer_kalman.py | theo-brown/ahrs | cd9c9e0bbf9db7fd67a297e1aafa8518bf17050d | [
"MIT"
] | null | null | null | test_data/barometer_kalman.py | theo-brown/ahrs | cd9c9e0bbf9db7fd67a297e1aafa8518bf17050d | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from kalman_filter import KalmanFilter
raw_data = np.loadtxt("barometer_data.txt")
# Truncate raw data (it's super long)
raw_data = raw_data[:raw_data.size//4]
raw_data_step = np.loadtxt("barometer_data_step.txt")
t1 = np.arange(0... | 31.232143 | 95 | 0.704974 | 340 | 1,749 | 3.358824 | 0.244118 | 0.110333 | 0.057793 | 0.059545 | 0.371278 | 0.218914 | 0.108581 | 0.108581 | 0 | 0 | 0 | 0.066845 | 0.144654 | 1,749 | 55 | 96 | 31.8 | 0.696524 | 0.020011 | 0 | 0 | 0 | 0 | 0.027453 | 0.013435 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7df479cf0eb03f9edb6d36fe5773b716ab0594f | 1,694 | py | Python | number-of-orders-in-the-backlog/number_of_orders_in_the_backlog.py | joaojunior/hackerrank | a5ee0449e791535930b8659dfb7dddcf9e1237de | [
"MIT"
] | null | null | null | number-of-orders-in-the-backlog/number_of_orders_in_the_backlog.py | joaojunior/hackerrank | a5ee0449e791535930b8659dfb7dddcf9e1237de | [
"MIT"
] | null | null | null | number-of-orders-in-the-backlog/number_of_orders_in_the_backlog.py | joaojunior/hackerrank | a5ee0449e791535930b8659dfb7dddcf9e1237de | [
"MIT"
] | 1 | 2019-06-19T00:51:02.000Z | 2019-06-19T00:51:02.000Z | import heapq
from typing import List
class Solution:
def get_number_of_backlog_orders(self, orders: List[List[int]]) -> int:
sell_backlog = []
buy_backlog = []
for price, amount, order_type in orders:
if order_type == 0:
while amount > 0:
if ... | 40.333333 | 78 | 0.432113 | 153 | 1,694 | 4.562092 | 0.228758 | 0.137536 | 0.074499 | 0.073066 | 0.154728 | 0.083095 | 0 | 0 | 0 | 0 | 0 | 0.018868 | 0.49941 | 1,694 | 41 | 79 | 41.317073 | 0.804245 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.051282 | 0 | 0.128205 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7df8183ed1dfeac2b83cb6b6b173f961a29bd8f | 2,585 | py | Python | scripts/plotresults.py | rafzi/DeepThings | d12e8e8ad9f9ebaa3b0d55f547c0b3c7f1baf636 | [
"MIT"
] | 1 | 2020-02-28T10:07:47.000Z | 2020-02-28T10:07:47.000Z | scripts/plotresults.py | rafzi/DeepThings | d12e8e8ad9f9ebaa3b0d55f547c0b3c7f1baf636 | [
"MIT"
] | null | null | null | scripts/plotresults.py | rafzi/DeepThings | d12e8e8ad9f9ebaa3b0d55f547c0b3c7f1baf636 | [
"MIT"
] | 2 | 2020-03-10T15:17:55.000Z | 2020-03-17T15:37:37.000Z | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# 1: YOLOv2, 2: AlexNet, 3: VGG-16, 4: GoogLeNet
model = 4
LINEPLOT = True
dfs = pd.read_excel("t.xlsx", sheet_name=None, header=None)
if model == 1:
ms = "YOLOv2"
elif model == 2:
ms = "AlexNet"
elif model == 3:
ms = "VGG-16"
elif model == ... | 26.927083 | 82 | 0.573308 | 417 | 2,585 | 3.527578 | 0.405276 | 0.028552 | 0.03739 | 0.024473 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056107 | 0.22089 | 2,585 | 95 | 83 | 27.210526 | 0.67428 | 0.147002 | 0 | 0 | 0 | 0 | 0.099042 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.04 | 0 | 0.093333 | 0.013333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7e2347893dbbd12b3c90e6ec6f949cb83aa2a4f | 1,110 | py | Python | val_resnet.py | AlexKhakhlyuk/fixedconv | bf3848c3fd60af2e617f2118064ee6f551b45d95 | [
"Apache-1.1"
] | 1 | 2020-05-05T07:20:25.000Z | 2020-05-05T07:20:25.000Z | val_resnet.py | khakhlyuk/fixedconv | bf3848c3fd60af2e617f2118064ee6f551b45d95 | [
"Apache-1.1"
] | null | null | null | val_resnet.py | khakhlyuk/fixedconv | bf3848c3fd60af2e617f2118064ee6f551b45d95 | [
"Apache-1.1"
] | null | null | null | from subprocess import run
# python -u val_resnet.py
cuda = 0 # which gpu to use
dataset = 'cifar10'
logs_path = 'logs_resnet' + '_' + dataset
manualSeed = 99
workers = 0
for model in ['resnet20', 'preact_resnet20']:
commands = [
'python', '-u', 'validate_resnet.py',
'--dataset=' + dataset,
... | 27.75 | 53 | 0.473874 | 113 | 1,110 | 4.548673 | 0.353982 | 0.077821 | 0.070039 | 0.070039 | 0.587549 | 0.587549 | 0.463035 | 0.463035 | 0.463035 | 0.463035 | 0 | 0.022315 | 0.354054 | 1,110 | 39 | 54 | 28.461538 | 0.694561 | 0.036036 | 0 | 0.588235 | 0 | 0 | 0.223055 | 0 | 0.029412 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.029412 | 0 | 0.029412 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7e673c1a03cc4b207464e8a0e2d7bce749cb8ba | 7,401 | py | Python | stanCode_projects/my_drawing/my_drawing.py | kenhuang1204/stanCode_projects | f697a34a1c54a864c1140cb0f2f76e2d70b45698 | [
"MIT"
] | null | null | null | stanCode_projects/my_drawing/my_drawing.py | kenhuang1204/stanCode_projects | f697a34a1c54a864c1140cb0f2f76e2d70b45698 | [
"MIT"
] | null | null | null | stanCode_projects/my_drawing/my_drawing.py | kenhuang1204/stanCode_projects | f697a34a1c54a864c1140cb0f2f76e2d70b45698 | [
"MIT"
] | null | null | null | """
File: my_drawing.py
Name: 黃科諺
----------------------
TODO:
"""
from campy.graphics.gobjects import GOval, GRect, GLine, GLabel, GPolygon, GArc
from campy.graphics.gwindow import GWindow
def main():
"""
Meet Snorlax (卡比獸) of stanCode! He dreams of Python when he sleeps. Be like Snorlax.
"""
window... | 28.910156 | 88 | 0.638427 | 1,167 | 7,401 | 3.799486 | 0.159383 | 0.127876 | 0.040595 | 0.077131 | 0.36581 | 0.206585 | 0.154263 | 0.154263 | 0.12359 | 0.12359 | 0 | 0.114994 | 0.215106 | 7,401 | 255 | 89 | 29.023529 | 0.648304 | 0.019322 | 0 | 0.137339 | 0 | 0 | 0.054596 | 0 | 0 | 0 | 0 | 0.003922 | 0 | 1 | 0.004292 | false | 0 | 0.008584 | 0 | 0.012876 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7e7736eb2b76396a07e8f09a10926efaa231ede | 748 | py | Python | kivy/core/clipboard/clipboard_xsel.py | CharaD7/kivy | 85065fe6633f5ac831c193dc84e3f636b789cc3a | [
"MIT"
] | 2 | 2021-05-16T09:46:14.000Z | 2021-11-17T11:23:15.000Z | kivy/core/clipboard/clipboard_xsel.py | CharaD7/kivy | 85065fe6633f5ac831c193dc84e3f636b789cc3a | [
"MIT"
] | 1 | 2016-11-11T13:45:42.000Z | 2016-11-11T13:45:42.000Z | kivy/core/clipboard/clipboard_xsel.py | CharaD7/kivy | 85065fe6633f5ac831c193dc84e3f636b789cc3a | [
"MIT"
] | 2 | 2017-03-09T14:27:03.000Z | 2019-05-03T08:36:02.000Z | '''
Clipboard xsel: an implementation of the Clipboard using xsel command line tool.
'''
__all__ = ('ClipboardXsel', )
from kivy.utils import platform
from kivy.core.clipboard._clipboard_ext import ClipboardExternalBase
if platform != 'linux':
raise SystemError('unsupported platform for xsel clipboard')
try:
... | 24.933333 | 80 | 0.67246 | 82 | 748 | 6.04878 | 0.573171 | 0.032258 | 0.076613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00339 | 0.21123 | 748 | 29 | 81 | 25.793103 | 0.837288 | 0.106952 | 0 | 0 | 0 | 0 | 0.119879 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7ea6e1ab40e2fa5eea55fc79f11b658b6c35f7e | 44,837 | py | Python | forager_server/forager_server_api/views.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | 1 | 2020-12-01T23:25:58.000Z | 2020-12-01T23:25:58.000Z | forager_server/forager_server_api/views.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | 2 | 2020-10-07T01:03:06.000Z | 2020-10-12T19:08:55.000Z | forager_server/forager_server_api/views.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | null | null | null | from collections import defaultdict, namedtuple
from dataclasses import dataclass
import distutils.util
import functools
import itertools
import json
import math
import operator
import os
import random
import uuid
import shutil
import logging
import time
from typing import List, Dict, NamedTuple, Optional
from django... | 31.072072 | 89 | 0.657872 | 5,737 | 44,837 | 4.819941 | 0.078787 | 0.031029 | 0.024302 | 0.015984 | 0.587082 | 0.544554 | 0.504991 | 0.453313 | 0.394149 | 0.341277 | 0 | 0.007689 | 0.234249 | 44,837 | 1,442 | 90 | 31.09362 | 0.797693 | 0.058144 | 0 | 0.364421 | 0 | 0.000864 | 0.088224 | 0.005409 | 0 | 0 | 0 | 0.001387 | 0.001727 | 1 | 0.041451 | false | 0 | 0.021589 | 0.001727 | 0.113126 | 0.001727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7eab2118d85cfe10c666d128c82a3c415e87f34 | 2,632 | py | Python | ccmlib/cluster_factory.py | justinchuch/ccm | 808b6ca13526785b0fddfe1ead2383c060c4b8b6 | [
"Apache-2.0"
] | 626 | 2015-01-01T18:11:03.000Z | 2017-12-19T00:06:49.000Z | ccmlib/cluster_factory.py | justinchuch/ccm | 808b6ca13526785b0fddfe1ead2383c060c4b8b6 | [
"Apache-2.0"
] | 358 | 2015-01-21T17:06:45.000Z | 2017-12-20T16:03:01.000Z | ccmlib/cluster_factory.py | justinchuch/ccm | 808b6ca13526785b0fddfe1ead2383c060c4b8b6 | [
"Apache-2.0"
] | 172 | 2015-01-02T21:40:45.000Z | 2017-12-19T20:17:49.000Z |
from __future__ import absolute_import
import os
import yaml
from ccmlib import common, extension, repository
from ccmlib.cluster import Cluster
from ccmlib.dse_cluster import DseCluster
from ccmlib.node import Node
from distutils.version import LooseVersion #pylint: disable=import-error, no-name-in-module
class... | 39.878788 | 150 | 0.628799 | 304 | 2,632 | 5.197368 | 0.266447 | 0.082278 | 0.057595 | 0.036076 | 0.232911 | 0.144304 | 0.11519 | 0.11519 | 0.11519 | 0.11519 | 0 | 0 | 0.286854 | 2,632 | 65 | 151 | 40.492308 | 0.841769 | 0.017857 | 0 | 0.037037 | 0 | 0 | 0.125436 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018519 | false | 0 | 0.148148 | 0 | 0.203704 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7eb16ad3bcd19920bd13a45530065dd321f93c0 | 9,872 | py | Python | causalnex/structure/pytorch/dist_type/_base.py | Rishab26/causalnex | 127d9324a3d68c1795299c7522f22cdea880f344 | [
"Apache-2.0"
] | 1,523 | 2020-01-28T12:37:48.000Z | 2022-03-31T09:27:58.000Z | causalnex/structure/pytorch/dist_type/_base.py | Rishab26/causalnex | 127d9324a3d68c1795299c7522f22cdea880f344 | [
"Apache-2.0"
] | 124 | 2020-01-28T15:12:07.000Z | 2022-03-31T18:59:16.000Z | causalnex/structure/pytorch/dist_type/_base.py | Rishab26/causalnex | 127d9324a3d68c1795299c7522f22cdea880f344 | [
"Apache-2.0"
] | 169 | 2020-01-28T15:13:53.000Z | 2022-03-30T21:04:02.000Z | # Copyright 2019-2020 QuantumBlack Visual Analytics Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# THE SOFTWARE IS PROVIDED "AS IS"... | 31.742765 | 105 | 0.630976 | 1,249 | 9,872 | 4.890312 | 0.26261 | 0.03831 | 0.014735 | 0.018664 | 0.221676 | 0.155697 | 0.100196 | 0.082842 | 0.070072 | 0.070072 | 0 | 0.003919 | 0.302168 | 9,872 | 310 | 106 | 31.845161 | 0.882712 | 0.574453 | 0 | 0.202703 | 0 | 0 | 0.028418 | 0.007262 | 0 | 0 | 0 | 0 | 0 | 1 | 0.189189 | false | 0 | 0.094595 | 0 | 0.472973 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7ecb294c442659591e90f954f3dc3437349ef17 | 4,992 | py | Python | tensorflow/python/tpu/tpu_outside_compilation_test.py | Arushacked/tensorflow | 9abd61ae0b2d239d3060cdd3d46b54a105159828 | [
"Apache-2.0"
] | 78 | 2020-08-04T12:36:25.000Z | 2022-03-25T04:23:40.000Z | tensorflow/python/tpu/tpu_outside_compilation_test.py | Arushacked/tensorflow | 9abd61ae0b2d239d3060cdd3d46b54a105159828 | [
"Apache-2.0"
] | 2 | 2021-11-10T20:08:14.000Z | 2022-02-10T02:44:26.000Z | tensorflow/python/tpu/tpu_outside_compilation_test.py | Arushacked/tensorflow | 9abd61ae0b2d239d3060cdd3d46b54a105159828 | [
"Apache-2.0"
] | 25 | 2020-08-31T12:21:19.000Z | 2022-03-20T05:16:32.000Z | # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 29.192982 | 80 | 0.698317 | 659 | 4,992 | 5.07739 | 0.241275 | 0.046025 | 0.06575 | 0.026898 | 0.48685 | 0.426479 | 0.388822 | 0.367603 | 0.296175 | 0.296175 | 0 | 0.021314 | 0.191707 | 4,992 | 170 | 81 | 29.364706 | 0.807931 | 0.139423 | 0 | 0.421053 | 0 | 0 | 0.039046 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.192982 | false | 0 | 0.122807 | 0 | 0.45614 | 0.04386 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7eccedc6580e295788f95c53fa5d25556b9e059 | 1,338 | py | Python | Source/Oyooni/Text Recognition/server.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | Source/Oyooni/Text Recognition/server.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | Source/Oyooni/Text Recognition/server.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | from flask import Flask, request
from flask_restful import Resource, Api
from test import get_models, getTextFromImage
from testDocument import getText
from time import time
app = Flask(__name__)
api = Api(app)
net, refine_net = get_models()
class TextRecognizerService(Resource):
def post(self):
try:
... | 26.76 | 73 | 0.523916 | 125 | 1,338 | 5.4 | 0.456 | 0.04 | 0.035556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015892 | 0.38864 | 1,338 | 49 | 74 | 27.306122 | 0.809291 | 0 | 0 | 0.128205 | 0 | 0 | 0.085949 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.128205 | 0 | 0.25641 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7ee1b4e15755381cc1c76d8d915f30011f727a3 | 17,132 | py | Python | varats/varats/plots/blame_interaction_graph_plots.py | Kaufi-Jonas/VaRA-Tool-Suite | 31563896ad7dd1c1a147202b0c5c9fffe772b803 | [
"BSD-2-Clause"
] | null | null | null | varats/varats/plots/blame_interaction_graph_plots.py | Kaufi-Jonas/VaRA-Tool-Suite | 31563896ad7dd1c1a147202b0c5c9fffe772b803 | [
"BSD-2-Clause"
] | null | null | null | varats/varats/plots/blame_interaction_graph_plots.py | Kaufi-Jonas/VaRA-Tool-Suite | 31563896ad7dd1c1a147202b0c5c9fffe772b803 | [
"BSD-2-Clause"
] | null | null | null | """Module for BlameInteractionGraph plots."""
import typing as tp
from datetime import datetime
from pathlib import Path
import click
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
import plotly.offline as offply
from matplotlib import style
from varats.data.reports.blame_interaction_graph... | 33.330739 | 80 | 0.627714 | 1,890 | 17,132 | 5.445503 | 0.125397 | 0.046638 | 0.021764 | 0.017489 | 0.613389 | 0.583269 | 0.529732 | 0.473572 | 0.449281 | 0.44588 | 0 | 0.001679 | 0.269788 | 17,132 | 513 | 81 | 33.395712 | 0.821023 | 0.049323 | 0 | 0.473552 | 0 | 0 | 0.090241 | 0.009135 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06801 | false | 0.002519 | 0.047859 | 0.025189 | 0.188917 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7ef21c429f9bf83356bf40d0aaa0462acb403b0 | 2,632 | py | Python | Day 7/Day 7.py | Dullstar/Advent-Of-Code-2020 | 7d3a64906ced2ac98bcfe67a9f3294c8756dc493 | [
"MIT"
] | null | null | null | Day 7/Day 7.py | Dullstar/Advent-Of-Code-2020 | 7d3a64906ced2ac98bcfe67a9f3294c8756dc493 | [
"MIT"
] | null | null | null | Day 7/Day 7.py | Dullstar/Advent-Of-Code-2020 | 7d3a64906ced2ac98bcfe67a9f3294c8756dc493 | [
"MIT"
] | null | null | null | import re
class Rule:
def __init__(self, line):
line = line.strip().split(" contain ")
line[1] = line[1].strip(".").split(", ")
self.contents = {}
for item in line[1]:
# Grab that number out in front
regex = re.compile(r"[0-9]+")
# If we didn't f... | 33.74359 | 106 | 0.56383 | 348 | 2,632 | 4.100575 | 0.295977 | 0.06377 | 0.033637 | 0.042046 | 0.067274 | 0.039243 | 0 | 0 | 0 | 0 | 0 | 0.009654 | 0.330927 | 2,632 | 77 | 107 | 34.181818 | 0.800681 | 0.120441 | 0 | 0.109091 | 0 | 0 | 0.138829 | 0.016052 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109091 | false | 0 | 0.018182 | 0.018182 | 0.254545 | 0.109091 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7f1da41a1909260bbd83fee7efec53538a5f960 | 775 | py | Python | var/spack/repos/builtin/packages/memaxes/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 9 | 2018-04-18T07:51:40.000Z | 2021-09-10T03:56:57.000Z | var/spack/repos/builtin/packages/memaxes/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 907 | 2018-04-18T11:17:57.000Z | 2022-03-31T13:20:25.000Z | var/spack/repos/builtin/packages/memaxes/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 29 | 2018-11-05T16:14:23.000Z | 2022-02-03T16:07:09.000Z | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Memaxes(Package):
"""MemAxes is a visualizer for sampled memory trace data."""
homepa... | 31 | 93 | 0.672258 | 97 | 775 | 5.319588 | 0.773196 | 0.042636 | 0.054264 | 0.069767 | 0.096899 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108626 | 0.192258 | 775 | 24 | 94 | 32.291667 | 0.715655 | 0.314839 | 0 | 0 | 0 | 0 | 0.3659 | 0.122605 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 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 |
f7f6435a685ce7599500c328cd1e055481aa5830 | 5,353 | py | Python | ddpm_proteins/utils.py | lucidrains/ddpm-proteins | 88bfacbd3cbdc4e38585fab420106f56e890c5f7 | [
"MIT"
] | 61 | 2021-06-14T16:41:54.000Z | 2022-03-23T14:09:46.000Z | ddpm_proteins/utils.py | lucidrains/ddpm-proteins | 88bfacbd3cbdc4e38585fab420106f56e890c5f7 | [
"MIT"
] | null | null | null | ddpm_proteins/utils.py | lucidrains/ddpm-proteins | 88bfacbd3cbdc4e38585fab420106f56e890c5f7 | [
"MIT"
] | 5 | 2021-06-15T11:51:47.000Z | 2022-03-18T08:01:48.000Z | import os
from PIL import Image
import seaborn as sn
import matplotlib.pyplot as plt
import torch
import torch.nn.functional as F
from sidechainnet.utils.sequence import ProteinVocabulary
from einops import rearrange
# general functions
def exists(val):
return val is not None
def default(val, d):
return va... | 29.092391 | 134 | 0.655707 | 778 | 5,353 | 4.341902 | 0.268638 | 0.01865 | 0.020722 | 0.016578 | 0.157194 | 0.12907 | 0.124334 | 0.096507 | 0.069864 | 0.069864 | 0 | 0.013018 | 0.225107 | 5,353 | 183 | 135 | 29.251366 | 0.80135 | 0.027088 | 0 | 0.15942 | 0 | 0 | 0.07401 | 0.008651 | 0 | 0 | 0 | 0 | 0.028986 | 1 | 0.094203 | false | 0 | 0.057971 | 0.021739 | 0.26087 | 0.007246 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7f93aac7b9d793ef23c38a97b1f3ca8216eaa8d | 24,348 | py | Python | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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... | 53.986696 | 122 | 0.619065 | 3,265 | 24,348 | 4.499847 | 0.169372 | 0.024503 | 0.015042 | 0.008848 | 0.187313 | 0.148788 | 0.111966 | 0.094473 | 0.090934 | 0.079363 | 0 | 0.01846 | 0.283596 | 24,348 | 450 | 123 | 54.106667 | 0.823826 | 0.290989 | 0 | 0.131944 | 0 | 0 | 0.138373 | 0.011979 | 0 | 0 | 0 | 0 | 0.038194 | 1 | 0.038194 | false | 0 | 0.048611 | 0 | 0.100694 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7f9d815fd74248ee87d991bd107aab15b47f8cc | 618 | py | Python | easy/867-transpose-matrix.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 2 | 2021-03-14T11:38:26.000Z | 2021-03-14T11:38:30.000Z | easy/867-transpose-matrix.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | null | null | null | easy/867-transpose-matrix.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 1 | 2022-01-17T19:33:23.000Z | 2022-01-17T19:33:23.000Z | '''
转置矩阵
给你一个二维整数数组 matrix, 返回 matrix 的 转置矩阵 。
矩阵的 转置 是指将矩阵的主对角线翻转,交换矩阵的行索引与列索引。
'''
from typing import List
'''
思路:简单问题,原矩阵大小为m*n,创建一个n*m大小的新矩阵,按照行列转化的方式将旧矩阵数据复制过去
'''
class Solution:
def transpose(self, matrix: List[List[int]]) -> List[List[int]]:
m = len(matrix)
n = len(matrix[0])
ne... | 20.6 | 68 | 0.548544 | 88 | 618 | 3.852273 | 0.534091 | 0.047198 | 0.064897 | 0.094395 | 0.123894 | 0.123894 | 0.123894 | 0.123894 | 0.123894 | 0 | 0 | 0.037611 | 0.268608 | 618 | 29 | 69 | 21.310345 | 0.712389 | 0.126214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.285714 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fa229686aa6986aa8b8f8a1dc2ccded74af095 | 5,940 | py | Python | adam_visual_perception/head_gaze_estimator.py | isi-vista/adam-visual-perception | 8ad6ed883b184b5407a1bf793617b226c78b3a13 | [
"MIT"
] | 1 | 2020-07-21T10:52:26.000Z | 2020-07-21T10:52:26.000Z | adam_visual_perception/head_gaze_estimator.py | isi-vista/adam-visual-perception | 8ad6ed883b184b5407a1bf793617b226c78b3a13 | [
"MIT"
] | null | null | null | adam_visual_perception/head_gaze_estimator.py | isi-vista/adam-visual-perception | 8ad6ed883b184b5407a1bf793617b226c78b3a13 | [
"MIT"
] | 2 | 2020-07-21T15:30:42.000Z | 2021-01-20T21:54:09.000Z | from adam_visual_perception import LandmarkDetector
from adam_visual_perception.utility import *
import numpy as np
import math
import cv2
import os
import sys
class HeadGazeEstimator:
""" A class for estimating gaze ray from facial landmarks """
def __init__(self, write_video=False):
# 3D model poin... | 35.783133 | 87 | 0.458754 | 673 | 5,940 | 3.912333 | 0.282318 | 0.013673 | 0.007976 | 0.047854 | 0.126092 | 0.071401 | 0.01899 | 0.01899 | 0.01899 | 0.01899 | 0 | 0.060724 | 0.437205 | 5,940 | 165 | 88 | 36 | 0.726892 | 0.109596 | 0 | 0.113043 | 0 | 0 | 0.008824 | 0 | 0 | 0 | 0.000784 | 0 | 0 | 1 | 0.017391 | false | 0 | 0.06087 | 0 | 0.095652 | 0.008696 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fa5e91400000b4953ab8022408df2a80e3be82 | 3,388 | py | Python | pypoca/cogs/general.py | leandcesar/PyPoca | 416f690faad0b511ca9d04b012af35256ee95089 | [
"MIT"
] | 1 | 2021-11-22T04:22:08.000Z | 2021-11-22T04:22:08.000Z | pypoca/cogs/general.py | leandcesar/PyPoca | 416f690faad0b511ca9d04b012af35256ee95089 | [
"MIT"
] | null | null | null | pypoca/cogs/general.py | leandcesar/PyPoca | 416f690faad0b511ca9d04b012af35256ee95089 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import disnake
from disnake.ext import commands
from pypoca.config import COLOR, URLS
from pypoca.database import Server
from pypoca.ext import ALL, DEFAULT, Choice, Option
class General(commands.Cog):
def __init__(self, bot: commands.Bot):
self.bot = bot
@commands.slash_comm... | 47.055556 | 113 | 0.626328 | 377 | 3,388 | 5.395225 | 0.236074 | 0.153392 | 0.061947 | 0.033432 | 0.476401 | 0.409538 | 0.25762 | 0.142576 | 0.142576 | 0.142576 | 0 | 0.010189 | 0.217828 | 3,388 | 71 | 114 | 47.71831 | 0.757358 | 0.006198 | 0 | 0.101695 | 0 | 0 | 0.506092 | 0.242793 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0 | 0.084746 | 0 | 0.135593 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fab2882ba44013b1ca7273273e6b041c1e46c3 | 1,301 | py | Python | costor_server/storage/api/views/authcheck.py | rphi/costor | 081de65778d404cf7a22c5524bf89a146fa8326b | [
"CNRI-Python"
] | 2 | 2019-12-31T16:49:36.000Z | 2021-02-17T09:47:41.000Z | costor_server/storage/api/views/authcheck.py | rphi/costor | 081de65778d404cf7a22c5524bf89a146fa8326b | [
"CNRI-Python"
] | null | null | null | costor_server/storage/api/views/authcheck.py | rphi/costor | 081de65778d404cf7a22c5524bf89a146fa8326b | [
"CNRI-Python"
] | null | null | null | from rest_framework.decorators import api_view, permission_classes
from rest_framework.parsers import MultiPartParser
from rest_framework.response import Response
from rest_framework import permissions
from rest_framework.exceptions import APIException
from rest_framework.decorators import parser_classes
from django.sh... | 30.97619 | 117 | 0.704074 | 164 | 1,301 | 5.487805 | 0.390244 | 0.053333 | 0.113333 | 0.076667 | 0.221111 | 0.147778 | 0.108889 | 0.108889 | 0 | 0 | 0 | 0.011673 | 0.209839 | 1,301 | 41 | 118 | 31.731707 | 0.863813 | 0.013836 | 0 | 0.16129 | 0 | 0 | 0.178627 | 0.053822 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.258065 | 0 | 0.354839 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7facb852a3db388a7c69659114114ea83276164 | 12,295 | py | Python | tensorflow_probability/python/experimental/mcmc/sample_fold.py | rupei/probability | 4aa1ee652853a19c4e80d39216c3fa535ed3e589 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/experimental/mcmc/sample_fold.py | rupei/probability | 4aa1ee652853a19c4e80d39216c3fa535ed3e589 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/experimental/mcmc/sample_fold.py | rupei/probability | 4aa1ee652853a19c4e80d39216c3fa535ed3e589 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The TensorFlow Probability Authors.
#
# 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 o... | 43.140351 | 85 | 0.727938 | 1,678 | 12,295 | 5.162098 | 0.234803 | 0.051027 | 0.031171 | 0.025398 | 0.349688 | 0.32048 | 0.309166 | 0.272454 | 0.236435 | 0.214846 | 0 | 0.003779 | 0.203579 | 12,295 | 284 | 86 | 43.292254 | 0.880821 | 0.617405 | 0 | 0.282258 | 0 | 0 | 0.086536 | 0.006743 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.08871 | 0.008065 | 0.169355 | 0.008065 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7facc8714f2358ff5e4f5bf725d3516243bec69 | 10,025 | py | Python | algos/custom_ppo2.py | Ottawa-Autonomous-Vehicle-Group/learning-to-drive-in-5-minutes | fb82bc77593605711289e03f95dcfb6d3ea9e6c3 | [
"MIT"
] | 1 | 2020-08-02T20:47:44.000Z | 2020-08-02T20:47:44.000Z | algos/custom_ppo2.py | vijpandaturtle/learning-to-drive-in-5-minutes | fb82bc77593605711289e03f95dcfb6d3ea9e6c3 | [
"MIT"
] | null | null | null | algos/custom_ppo2.py | vijpandaturtle/learning-to-drive-in-5-minutes | fb82bc77593605711289e03f95dcfb6d3ea9e6c3 | [
"MIT"
] | null | null | null | import time
from collections import deque
import gym
import numpy as np
from stable_baselines import logger, PPO2
from stable_baselines.a2c.utils import total_episode_reward_logger
from stable_baselines.common import explained_variance, TensorboardWriter
from stable_baselines.common.runners import AbstractEnvRunner
fr... | 52.213542 | 121 | 0.572569 | 1,195 | 10,025 | 4.57908 | 0.207531 | 0.025585 | 0.018275 | 0.011879 | 0.175256 | 0.149123 | 0.110015 | 0.09576 | 0.09576 | 0.08443 | 0 | 0.006072 | 0.342843 | 10,025 | 191 | 122 | 52.486911 | 0.824529 | 0.160599 | 0 | 0.052632 | 0 | 0 | 0.014722 | 0 | 0 | 0 | 0 | 0 | 0.015038 | 1 | 0.022556 | false | 0 | 0.067669 | 0 | 0.120301 | 0.007519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fafc3eca2a0d5f684ce78dbf8d565f8e0da8a0 | 787 | py | Python | craw/modules/trail/trails/feeds/urlvir.py | xuluhang/DomainBlockList | e9e69138ffdba6a73741fe204306f1f0b66eff19 | [
"MIT"
] | 19 | 2019-11-25T09:02:15.000Z | 2021-07-24T12:05:28.000Z | craw/modules/trail/trails/feeds/urlvir.py | xuluhang/DomainBlockList | e9e69138ffdba6a73741fe204306f1f0b66eff19 | [
"MIT"
] | 1 | 2019-11-25T09:06:08.000Z | 2019-11-25T09:06:08.000Z | craw/modules/trail/trails/feeds/urlvir.py | xuluhang/DomainBlockList | e9e69138ffdba6a73741fe204306f1f0b66eff19 | [
"MIT"
] | 10 | 2019-11-26T02:42:02.000Z | 2021-08-28T07:16:08.000Z | #!/usr/bin/env python2
"""
Copyright (c) 2014-2019 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from craw.modules.trail.plugins.util import wget_content
__url__ = "http://www.urlvir.com/export-hosts/"
__check__ = "Updated on"
__info__ = "malware"
__ref... | 23.848485 | 83 | 0.66709 | 95 | 787 | 5.010526 | 0.631579 | 0.046218 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014493 | 0.210928 | 787 | 32 | 84 | 24.59375 | 0.752013 | 0.191868 | 0 | 0 | 0 | 0 | 0.11465 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fbd980831ccec066261d37e528035e5f2d7c7a | 12,278 | py | Python | open-hackathon-client/src/client/config_sample.py | overbest/open-hackathon | 62e085fbe603bcb00ca56d2b96cfc43bf44c710b | [
"MIT"
] | null | null | null | open-hackathon-client/src/client/config_sample.py | overbest/open-hackathon | 62e085fbe603bcb00ca56d2b96cfc43bf44c710b | [
"MIT"
] | null | null | null | open-hackathon-client/src/client/config_sample.py | overbest/open-hackathon | 62e085fbe603bcb00ca56d2b96cfc43bf44c710b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# -----------------------------------------------------------------------------------
# Copyright (c) Microsoft Open Technologies (Shanghai) Co. Ltd. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this softw... | 42.93007 | 174 | 0.476136 | 1,080 | 12,278 | 5.225926 | 0.246296 | 0.046775 | 0.023388 | 0.019844 | 0.232814 | 0.142275 | 0.086995 | 0.019844 | 0.012048 | 0 | 0 | 0.037056 | 0.369197 | 12,278 | 285 | 175 | 43.080702 | 0.691672 | 0.175354 | 0 | 0.300847 | 0 | 0.050847 | 0.36993 | 0.040067 | 0 | 0 | 0 | 0.003509 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fbf451f7ab0b316753c8ad61a542b73cbff82d | 14,904 | py | Python | processing_provider/Rast_fillRasterwithPatches.py | geodourados/lftools | 4b9d703513bd3d49ac7952014575bf95492a2d90 | [
"MIT"
] | 1 | 2022-03-28T22:18:09.000Z | 2022-03-28T22:18:09.000Z | processing_provider/Rast_fillRasterwithPatches.py | geodourados/lftools | 4b9d703513bd3d49ac7952014575bf95492a2d90 | [
"MIT"
] | null | null | null | processing_provider/Rast_fillRasterwithPatches.py | geodourados/lftools | 4b9d703513bd3d49ac7952014575bf95492a2d90 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
fillRasterwithPatches.py
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU Gene... | 41.51532 | 135 | 0.541063 | 1,443 | 14,904 | 5.479556 | 0.265419 | 0.021247 | 0.035412 | 0.038953 | 0.311243 | 0.29164 | 0.236626 | 0.225496 | 0.205514 | 0.192108 | 0 | 0.013003 | 0.349839 | 14,904 | 358 | 136 | 41.631285 | 0.802993 | 0.085011 | 0 | 0.27551 | 0 | 0 | 0.121774 | 0.00728 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044218 | false | 0 | 0.030612 | 0.027211 | 0.163265 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fdd8880ea99f126ba61a61e3b34ab49ba52b93 | 1,549 | py | Python | runtests.py | ombu/django-sortedm2m | 2691cf00174577bc667d5d8c1d42071604ee2095 | [
"BSD-3-Clause"
] | null | null | null | runtests.py | ombu/django-sortedm2m | 2691cf00174577bc667d5d8c1d42071604ee2095 | [
"BSD-3-Clause"
] | null | null | null | runtests.py | ombu/django-sortedm2m | 2691cf00174577bc667d5d8c1d42071604ee2095 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os, sys, warnings
parent = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, parent)
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "test_project.settings")
import django
from django.core.management import exe... | 28.163636 | 88 | 0.654616 | 184 | 1,549 | 5.233696 | 0.494565 | 0.049844 | 0.062305 | 0.049844 | 0.060228 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017573 | 0.228535 | 1,549 | 54 | 89 | 28.685185 | 0.788285 | 0.118141 | 0 | 0.166667 | 0 | 0 | 0.162381 | 0.031594 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0.027778 | 0.111111 | 0 | 0.138889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7fe2e12189f5c7bd5c301d8cd6a29b000ff6951 | 4,352 | py | Python | origin_check.py | mikispag/OriginCheck | b3bda26c382cdbfd78bddc11d99d6e8723255599 | [
"MIT"
] | 1 | 2020-08-19T06:53:24.000Z | 2020-08-19T06:53:24.000Z | origin_check.py | mikispag/OriginCheck | b3bda26c382cdbfd78bddc11d99d6e8723255599 | [
"MIT"
] | null | null | null | origin_check.py | mikispag/OriginCheck | b3bda26c382cdbfd78bddc11d99d6e8723255599 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import concurrent.futures
import logging
import requests
from sys import argv, exit
from urllib.parse import urlparse
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
HEADERS = {
'User-Agent':
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.... | 39.563636 | 143 | 0.584789 | 526 | 4,352 | 4.686312 | 0.260456 | 0.044625 | 0.040162 | 0.024341 | 0.348884 | 0.31359 | 0.281542 | 0.252333 | 0.227992 | 0.227992 | 0 | 0.017411 | 0.300551 | 4,352 | 109 | 144 | 39.926606 | 0.792378 | 0.053998 | 0 | 0.191011 | 0 | 0.011236 | 0.253161 | 0.077821 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011236 | false | 0 | 0.05618 | 0 | 0.146067 | 0.022472 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7ff07662b3e96ced8491b8279428f96107213e1 | 743 | py | Python | orange3/Orange/preprocess/setup.py | rgschmitz1/BioDepot-workflow-builder | f74d904eeaf91ec52ec9b703d9fb38e9064e5a66 | [
"MIT"
] | 54 | 2017-01-08T17:21:49.000Z | 2021-11-02T08:46:07.000Z | orange3/Orange/preprocess/setup.py | Synthia-3/BioDepot-workflow-builder | 4ee93abe2d79465755e82a145af3b6a6e1e79fd4 | [
"MIT"
] | 22 | 2017-03-28T06:03:14.000Z | 2021-07-28T05:43:55.000Z | orange3/Orange/preprocess/setup.py | Synthia-3/BioDepot-workflow-builder | 4ee93abe2d79465755e82a145af3b6a6e1e79fd4 | [
"MIT"
] | 21 | 2017-01-26T21:12:09.000Z | 2022-01-31T21:34:59.000Z | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD Style.
import os
import numpy
def configuration(parent_package="", top_path=None):
from numpy.distutils.misc_util import Configuration
libraries = []
if os.name == "posix":
libraries.append("m")
config = Configuration... | 24.766667 | 66 | 0.644684 | 82 | 743 | 5.609756 | 0.621951 | 0.045652 | 0.069565 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003478 | 0.22611 | 743 | 29 | 67 | 25.62069 | 0.796522 | 0.102288 | 0 | 0 | 0 | 0 | 0.075301 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.210526 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7900515320c3b3319c03f61841dc3f24a082e7f3 | 12,476 | py | Python | src/lpb.py | RobbinBouwmeester/LIT | 0516a69fbf1b8e9976524e0c243f82de041df544 | [
"Apache-2.0"
] | null | null | null | src/lpb.py | RobbinBouwmeester/LIT | 0516a69fbf1b8e9976524e0c243f82de041df544 | [
"Apache-2.0"
] | null | null | null | src/lpb.py | RobbinBouwmeester/LIT | 0516a69fbf1b8e9976524e0c243f82de041df544 | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2017 Robbin Bouwmeester
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, di... | 36.162319 | 303 | 0.655579 | 1,895 | 12,476 | 4.059631 | 0.175726 | 0.049916 | 0.044326 | 0.017678 | 0.351878 | 0.309762 | 0.272715 | 0.260237 | 0.235409 | 0.212271 | 0 | 0.01351 | 0.187159 | 12,476 | 344 | 304 | 36.267442 | 0.745094 | 0.127926 | 0 | 0.223443 | 0 | 0.007326 | 0.14208 | 0.007007 | 0 | 0 | 0 | 0.002907 | 0 | 1 | 0.03663 | false | 0 | 0.010989 | 0 | 0.058608 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7902cca06e3a841cee96255c053ca834cc5022f5 | 7,223 | py | Python | src/pte/filetools/filefinder_abc.py | richardkoehler/pynm-decode | 3120a410d79d3fce45d0f59025d68ba2d5e80d9e | [
"MIT"
] | 1 | 2022-01-08T09:33:09.000Z | 2022-01-08T09:33:09.000Z | src/pte/filetools/filefinder_abc.py | richardkoehler/pynm-decode | 3120a410d79d3fce45d0f59025d68ba2d5e80d9e | [
"MIT"
] | null | null | null | src/pte/filetools/filefinder_abc.py | richardkoehler/pynm-decode | 3120a410d79d3fce45d0f59025d68ba2d5e80d9e | [
"MIT"
] | null | null | null | """Define abstract base classes to construct FileFinder classes."""
import os
import shutil
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Sequence, Union
import mne_bids
@dataclass
class FileFinder(ABC):
"""Basic representation... | 33.439815 | 79 | 0.56417 | 731 | 7,223 | 5.459644 | 0.220246 | 0.024555 | 0.033826 | 0.030068 | 0.36006 | 0.270358 | 0.229266 | 0.204711 | 0.204711 | 0.12904 | 0 | 0.001882 | 0.33781 | 7,223 | 215 | 80 | 33.595349 | 0.832532 | 0.121279 | 0 | 0.321429 | 0 | 0 | 0.086887 | 0.003862 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065476 | false | 0 | 0.041667 | 0.011905 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
790323f724e852cdcf7d4d9d3e4d89703473f768 | 3,725 | py | Python | panel/routes/server.py | emilio2hd/pz-panel | 6b53f465b2c041e963e2b75e48b1612549ad6fea | [
"MIT"
] | null | null | null | panel/routes/server.py | emilio2hd/pz-panel | 6b53f465b2c041e963e2b75e48b1612549ad6fea | [
"MIT"
] | null | null | null | panel/routes/server.py | emilio2hd/pz-panel | 6b53f465b2c041e963e2b75e48b1612549ad6fea | [
"MIT"
] | null | null | null | import glob
import time
from os import path
from flask import Blueprint, jsonify, current_app, request, Response, json
from flask_login import login_required
from .. import pz_server_state
from ..services.power_actions_service import is_valid_power_action, execute_action
from ..services.server_options_service import ... | 29.8 | 119 | 0.68698 | 434 | 3,725 | 5.578341 | 0.271889 | 0.037175 | 0.046262 | 0.041305 | 0.247831 | 0.162743 | 0.118959 | 0.047088 | 0.047088 | 0.047088 | 0 | 0.003386 | 0.207248 | 3,725 | 124 | 120 | 30.040323 | 0.816458 | 0 | 0 | 0.152174 | 0 | 0 | 0.12349 | 0.01557 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0.032609 | 0.108696 | 0 | 0.304348 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7903777a50ff41a94bed60837d113e3a3fca6cc0 | 23,095 | py | Python | sub_models.py | tmartin2/EnsembleSplice-Inactive | a161ff007b47ceadd3a21376f2eac2971bb81d90 | [
"MIT"
] | null | null | null | sub_models.py | tmartin2/EnsembleSplice-Inactive | a161ff007b47ceadd3a21376f2eac2971bb81d90 | [
"MIT"
] | null | null | null | sub_models.py | tmartin2/EnsembleSplice-Inactive | a161ff007b47ceadd3a21376f2eac2971bb81d90 | [
"MIT"
] | null | null | null | # -----------------------------------------------------------------------------
# Copyright (c) 2021 Trevor P. Martin. All rights reserved.
# Distributed under the MIT License.
# -----------------------------------------------------------------------------
from Data import encode_data
# from utils import cross_validati... | 34.781627 | 126 | 0.525352 | 2,671 | 23,095 | 4.321977 | 0.12018 | 0.05518 | 0.057173 | 0.085759 | 0.626559 | 0.597193 | 0.544872 | 0.495842 | 0.474359 | 0.474272 | 0 | 0.022615 | 0.349037 | 23,095 | 663 | 127 | 34.834087 | 0.745244 | 0.466551 | 0 | 0.631757 | 0 | 0 | 0.02738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033784 | false | 0.003378 | 0.043919 | 0 | 0.141892 | 0.003378 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7903ec9c043049b9e677a2917e22d25071fe1f34 | 3,227 | py | Python | tracportalopt/project/notification.py | isabella232/TracPortalPlugin | 985581b16aad360cfc78d6b901c93fb922f7bc30 | [
"MIT"
] | 2 | 2015-01-19T05:53:30.000Z | 2016-01-08T10:30:02.000Z | tracportalopt/project/notification.py | iij/TracPortalPlugin | 985581b16aad360cfc78d6b901c93fb922f7bc30 | [
"MIT"
] | 1 | 2022-01-20T12:47:18.000Z | 2022-01-20T12:47:18.000Z | tracportalopt/project/notification.py | isabella232/TracPortalPlugin | 985581b16aad360cfc78d6b901c93fb922f7bc30 | [
"MIT"
] | 3 | 2016-12-08T02:25:36.000Z | 2022-01-20T12:10:58.000Z | #! -*- coding: utf-8 -*-
#
# (C) 2013 Internet Initiative Japan Inc.
# All rights reserved.
#
# Created on 2013/05/15
# @author: yosinobu@iij.ad.jp
"""Notify project owner with email when the project created successfully."""
from pkg_resources import resource_filename
from trac.config import Option, ListOption
from tra... | 37.523256 | 115 | 0.654478 | 359 | 3,227 | 5.688022 | 0.317549 | 0.039667 | 0.031832 | 0.039177 | 0.118511 | 0.063663 | 0 | 0 | 0 | 0 | 0 | 0.006148 | 0.24388 | 3,227 | 85 | 116 | 37.964706 | 0.830738 | 0.096374 | 0 | 0 | 0 | 0 | 0.164019 | 0.018992 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12069 | false | 0.017241 | 0.12069 | 0.051724 | 0.413793 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
790488091f13f4b2ff427e7b9bda7aa18b0d732c | 1,391 | py | Python | misc/style/check-include-guard-convention.py | nitinkaveriappa/downward | 5c9a1b5111d667bb96f94da61ca2a45b1b70bb83 | [
"MIT"
] | 4 | 2019-04-23T10:41:35.000Z | 2019-10-27T05:14:42.000Z | misc/style/check-include-guard-convention.py | nitinkaveriappa/downward | 5c9a1b5111d667bb96f94da61ca2a45b1b70bb83 | [
"MIT"
] | null | null | null | misc/style/check-include-guard-convention.py | nitinkaveriappa/downward | 5c9a1b5111d667bb96f94da61ca2a45b1b70bb83 | [
"MIT"
] | 4 | 2018-01-16T00:00:22.000Z | 2019-11-01T23:35:01.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import glob
import os.path
import sys
DIR = os.path.dirname(os.path.abspath(__file__))
REPO = os.path.dirname(os.path.dirname(DIR))
SRC_DIR = os.path.join(REPO, "src")
def check_header_files(component):
component_dir = os.path... | 28.979167 | 90 | 0.591661 | 168 | 1,391 | 4.678571 | 0.386905 | 0.076336 | 0.050891 | 0.038168 | 0.198473 | 0.07888 | 0.07888 | 0.07888 | 0 | 0 | 0 | 0.001942 | 0.259526 | 1,391 | 47 | 91 | 29.595745 | 0.761165 | 0.030913 | 0 | 0.055556 | 0 | 0 | 0.072065 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.194444 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7905a7207409a36e542edd41a689eb3240d45b7e | 432 | py | Python | kyu_7/fun_with_lists_length/length.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 1 | 2022-02-12T05:56:04.000Z | 2022-02-12T05:56:04.000Z | kyu_7/fun_with_lists_length/length.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 182 | 2020-04-30T00:51:36.000Z | 2021-09-07T04:15:05.000Z | kyu_7/fun_with_lists_length/length.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 4 | 2020-04-29T22:04:20.000Z | 2021-07-13T20:04:14.000Z | # Created by Egor Kostan.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
def length(head) -> int:
"""
The method length, which accepts a linked list
(head), and returns the length of the list.
:param head:
:return:
"""
i = 0
if head is Non... | 18.782609 | 53 | 0.581019 | 62 | 432 | 4.048387 | 0.580645 | 0.079681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013333 | 0.305556 | 432 | 22 | 54 | 19.636364 | 0.823333 | 0.523148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 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 |
7907243674e9e866161964f1907b28118b6c5588 | 7,238 | py | Python | test/functional/test_f_xcompat.py | farleyb-amazon/aws-encryption-sdk-python | 7950abd73ee333407d2dadd02ef2d57c3df464cf | [
"Apache-2.0"
] | 95 | 2018-08-20T23:10:00.000Z | 2022-02-17T02:54:32.000Z | test/functional/test_f_xcompat.py | farleyb-amazon/aws-encryption-sdk-python | 7950abd73ee333407d2dadd02ef2d57c3df464cf | [
"Apache-2.0"
] | 220 | 2018-08-01T20:56:29.000Z | 2022-03-28T18:12:35.000Z | test/functional/test_f_xcompat.py | farleyb-amazon/aws-encryption-sdk-python | 7950abd73ee333407d2dadd02ef2d57c3df464cf | [
"Apache-2.0"
] | 63 | 2018-08-01T19:37:33.000Z | 2022-03-20T17:14:15.000Z | # Copyright 2017 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 accompa... | 39.336957 | 116 | 0.678088 | 890 | 7,238 | 5.260674 | 0.282022 | 0.019436 | 0.030756 | 0.028407 | 0.163819 | 0.11085 | 0.11085 | 0.065143 | 0.065143 | 0.065143 | 0 | 0.014316 | 0.218292 | 7,238 | 183 | 117 | 39.551913 | 0.813185 | 0.151147 | 0 | 0.068702 | 0 | 0 | 0.065671 | 0.004597 | 0 | 0 | 0 | 0 | 0.007634 | 1 | 0.038168 | false | 0 | 0.129771 | 0.007634 | 0.290076 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
79085a6c06f94f9781c1a341cbcc3d429b30a260 | 17,381 | py | Python | docs/examples/Moving_Platform_Simulation.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 157 | 2019-04-14T20:43:11.000Z | 2022-03-30T08:30:33.000Z | docs/examples/Moving_Platform_Simulation.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 364 | 2019-04-18T15:54:49.000Z | 2022-03-31T09:50:02.000Z | docs/examples/Moving_Platform_Simulation.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 86 | 2019-04-20T02:01:18.000Z | 2022-03-28T01:03:11.000Z | #!/usr/bin/env python
# coding: utf-8
"""
Multi-Sensor Moving Platform Simulation Example
===============================================
This example looks at how multiple sensors can be mounted on a single moving platform and exploiting a defined moving
platform as a sensor target.
"""
# %%
# Building a Simulated M... | 44.452685 | 120 | 0.693976 | 2,267 | 17,381 | 5.254521 | 0.240847 | 0.005541 | 0.005289 | 0.00403 | 0.119627 | 0.095366 | 0.080423 | 0.046676 | 0.023002 | 0.014943 | 0 | 0.01837 | 0.210747 | 17,381 | 390 | 121 | 44.566667 | 0.849978 | 0.556757 | 0 | 0.055944 | 0 | 0 | 0.005059 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.013986 | 0.195804 | 0 | 0.195804 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7909cb31dce0f5d0d244a16c56e9e7a864d3c124 | 2,372 | py | Python | src/gui/SubVision.py | bochkovoi/AHP | b51dc598f8f7a65a2ade039d887dccfa6d070f1e | [
"MIT"
] | null | null | null | src/gui/SubVision.py | bochkovoi/AHP | b51dc598f8f7a65a2ade039d887dccfa6d070f1e | [
"MIT"
] | null | null | null | src/gui/SubVision.py | bochkovoi/AHP | b51dc598f8f7a65a2ade039d887dccfa6d070f1e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PyQt5 import QtWidgets, QtGui, QtCore
import sys, os.path as op
path1 = op.join( op.abspath(op.dirname(__file__)), '..', 'Structure')
path2 = op.join( op.abspath(op.dirname(__file__)), '..')
sys.path.append(path1)
sys.path.append(path2)
from Structure import *
from V... | 38.885246 | 85 | 0.643339 | 271 | 2,372 | 5.483395 | 0.479705 | 0.023553 | 0.02961 | 0.020188 | 0.063257 | 0.037685 | 0.037685 | 0 | 0 | 0 | 0 | 0.00403 | 0.267707 | 2,372 | 60 | 86 | 39.533333 | 0.851468 | 0.290472 | 0 | 0.054054 | 0 | 0 | 0.02233 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.108108 | 0 | 0.216216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
790a863e1b7c7976c78fdf15265431950cd90024 | 5,163 | py | Python | espnet2/gan_tts/espnet_model.py | actboy/espnet | c0ca15e9da6e89ff6df5fe70ed08654deeca2ac0 | [
"Apache-2.0"
] | null | null | null | espnet2/gan_tts/espnet_model.py | actboy/espnet | c0ca15e9da6e89ff6df5fe70ed08654deeca2ac0 | [
"Apache-2.0"
] | 1 | 2021-08-11T08:35:36.000Z | 2021-08-13T07:12:47.000Z | espnet2/gan_tts/espnet_model.py | shirayu/espnet | 66f0f8382b0e1195bed7c280c29711f8436b3db4 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""GAN-based TTS ESPnet model."""
from contextlib import contextmanager
from distutils.version import LooseVersion
from typing import Any
from typing import Dict
from typing import Optional
import torch
from typeguard import... | 35.363014 | 81 | 0.627929 | 599 | 5,163 | 5.293823 | 0.233723 | 0.052034 | 0.022706 | 0.043519 | 0.422895 | 0.37843 | 0.3614 | 0.326711 | 0.326711 | 0.326711 | 0 | 0.007019 | 0.282588 | 5,163 | 145 | 82 | 35.606897 | 0.849082 | 0.308735 | 0 | 0.321429 | 0 | 0 | 0.041918 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 1 | 0.047619 | false | 0 | 0.154762 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
790b72b5977bc41bc1fa4f394888d33023e6e512 | 1,309 | py | Python | array/bot/others/P_ex07.py | timkphd/examples | 04c162ec890a1c9ba83498b275fbdc81a4704062 | [
"Unlicense"
] | 5 | 2020-11-01T00:29:22.000Z | 2022-01-24T19:09:47.000Z | array/bot/others/P_ex07.py | timkphd/examples | 04c162ec890a1c9ba83498b275fbdc81a4704062 | [
"Unlicense"
] | 1 | 2022-02-09T01:59:47.000Z | 2022-02-09T01:59:47.000Z | array/bot/others/P_ex07.py | timkphd/examples | 04c162ec890a1c9ba83498b275fbdc81a4704062 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
#
# This program shows how to use MPI_Alltoall. Each processor
# send/rec a different random number to/from other processors.
#
# numpy is required
import numpy
from numpy import *
# mpi4py module
from mpi4py import MPI
import sys
def myquit(mes):
MPI.Finalize()
print(mes)
... | 20.453125 | 63 | 0.675325 | 249 | 1,309 | 3.449799 | 0.37751 | 0.052387 | 0.039581 | 0.041909 | 0.046566 | 0.046566 | 0.046566 | 0 | 0 | 0 | 0 | 0.049383 | 0.195569 | 1,309 | 63 | 64 | 20.777778 | 0.766382 | 0.559969 | 0 | 0.095238 | 0 | 0 | 0.07441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.190476 | 0 | 0.238095 | 0.190476 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
790c207725e1c54d9a32196cd02ceb7f9a4e7af7 | 18,376 | py | Python | renderer/render_fmo.py | 12564985/DeFMO | 8ed9c2963678e2c59c7431ec8786302eea841572 | [
"MIT"
] | 1 | 2022-03-14T12:46:38.000Z | 2022-03-14T12:46:38.000Z | renderer/render_fmo.py | 12564985/DeFMO | 8ed9c2963678e2c59c7431ec8786302eea841572 | [
"MIT"
] | null | null | null | renderer/render_fmo.py | 12564985/DeFMO | 8ed9c2963678e2c59c7431ec8786302eea841572 | [
"MIT"
] | null | null | null | """ render_fmo.py renders obj file to rgb image with fmo model
Aviable function:
- clear_mash: delete all the mesh in the secene
- scene_setting_init: set scene configurations
- node_setting_init: set node configurations
- render: render rgb image for one obj file and one viewpoint
- render_obj: wrapper function for r... | 39.181237 | 200 | 0.619286 | 2,654 | 18,376 | 4.129616 | 0.162773 | 0.034489 | 0.02938 | 0.020438 | 0.349818 | 0.296989 | 0.244526 | 0.209945 | 0.174544 | 0.164325 | 0 | 0.023096 | 0.238953 | 18,376 | 469 | 201 | 39.181237 | 0.760601 | 0.151883 | 0 | 0.165698 | 0 | 0 | 0.043901 | 0.002914 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02907 | false | 0.002907 | 0.05814 | 0 | 0.125 | 0.031977 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
790ca91d1e267c27a75b0c472c8aadefd871871f | 11,385 | py | Python | main.py | VV123/NLIDB_gradient | f42a6f383d2d4ac41c354cf55df2a21507577b02 | [
"MIT"
] | null | null | null | main.py | VV123/NLIDB_gradient | f42a6f383d2d4ac41c354cf55df2a21507577b02 | [
"MIT"
] | 1 | 2021-01-11T03:42:43.000Z | 2021-02-19T17:06:59.000Z | main.py | VV123/NLIDB_gradient | f42a6f383d2d4ac41c354cf55df2a21507577b02 | [
"MIT"
] | null | null | null | # coding=utf-8
import sys
import argparse
import os
from tensorflow.python.platform import gfile
import numpy as np
import tensorflow as tf
from tensorflow.python.layers.core import Dense
from utils.data_manager import load_data, load_data_one
from collections import defaultdict
from argparse import ArgumentParser
fro... | 33.683432 | 133 | 0.623188 | 1,483 | 11,385 | 4.538098 | 0.167229 | 0.038039 | 0.049926 | 0.08321 | 0.447845 | 0.356612 | 0.315305 | 0.305349 | 0.285587 | 0.269837 | 0 | 0.010128 | 0.236803 | 11,385 | 337 | 134 | 33.783383 | 0.764415 | 0.046904 | 0 | 0.356364 | 0 | 0 | 0.165511 | 0.009154 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021818 | false | 0.014545 | 0.050909 | 0 | 0.109091 | 0.061818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
790e708e4fd42df30662fd05e0fd27cb6d2b56ae | 1,525 | py | Python | gdsfactory/components/cdsem_straight.py | jorgepadilla19/gdsfactory | 68e1c18257a75d4418279851baea417c8899a165 | [
"MIT"
] | 42 | 2020-05-25T09:33:45.000Z | 2022-03-29T03:41:19.000Z | gdsfactory/components/cdsem_straight.py | jorgepadilla19/gdsfactory | 68e1c18257a75d4418279851baea417c8899a165 | [
"MIT"
] | 133 | 2020-05-28T18:29:04.000Z | 2022-03-31T22:21:42.000Z | gdsfactory/components/cdsem_straight.py | jorgepadilla19/gdsfactory | 68e1c18257a75d4418279851baea417c8899a165 | [
"MIT"
] | 17 | 2020-06-30T07:07:50.000Z | 2022-03-17T15:45:27.000Z | """CD SEM structures."""
from functools import partial
from typing import Optional, Tuple
from gdsfactory.cell import cell
from gdsfactory.component import Component
from gdsfactory.components.straight import straight as straight_function
from gdsfactory.components.text_rectangular import text_rectangular
from gdsfact... | 28.773585 | 76 | 0.685902 | 193 | 1,525 | 5.274611 | 0.367876 | 0.096267 | 0.047151 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020287 | 0.224262 | 1,525 | 52 | 77 | 29.326923 | 0.840237 | 0.146885 | 0 | 0 | 0 | 0 | 0.006344 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.272727 | 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 |
79107ce8bb54a81242a6381a90d895c5d61ecf37 | 10,057 | py | Python | Examples/Tests/particle_fields_diags/analysis_particle_diags_impl.py | hklion/WarpX | 3c2d0ee2815ab1df21b9f78d899fe7b1a9651758 | [
"BSD-3-Clause-LBNL"
] | null | null | null | Examples/Tests/particle_fields_diags/analysis_particle_diags_impl.py | hklion/WarpX | 3c2d0ee2815ab1df21b9f78d899fe7b1a9651758 | [
"BSD-3-Clause-LBNL"
] | null | null | null | Examples/Tests/particle_fields_diags/analysis_particle_diags_impl.py | hklion/WarpX | 3c2d0ee2815ab1df21b9f78d899fe7b1a9651758 | [
"BSD-3-Clause-LBNL"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2019-2022 Luca Fedeli, Yinjian Zhao, Hannah Klion
#
# This file is part of WarpX.
#
# License: BSD-3-Clause-LBNL
# This script tests the reduced particle diagnostics.
# The setup is a uniform plasma with electrons, protons and photons.
# Various particle and field quantities are wri... | 46.995327 | 126 | 0.645521 | 1,615 | 10,057 | 3.731269 | 0.121362 | 0.031862 | 0.044806 | 0.023896 | 0.674743 | 0.620644 | 0.559243 | 0.476933 | 0.441255 | 0.441255 | 0 | 0.010289 | 0.159193 | 10,057 | 213 | 127 | 47.215962 | 0.702342 | 0.127672 | 0 | 0.385135 | 0 | 0 | 0.164019 | 0.007429 | 0 | 0 | 0 | 0 | 0.027027 | 1 | 0.006757 | false | 0 | 0.067568 | 0 | 0.074324 | 0.013514 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7910b1ce3b116e87579add349dab0e8dadaa95e7 | 1,420 | py | Python | predict.py | stonebegin/Promise12-3DUNet | d48d95ae7f2da98d068f84391dc547abd968981d | [
"MIT"
] | 2 | 2020-12-20T12:35:24.000Z | 2021-01-04T03:21:37.000Z | predict.py | stonebegin/Promise12-3DUNet | d48d95ae7f2da98d068f84391dc547abd968981d | [
"MIT"
] | 1 | 2020-12-27T05:08:02.000Z | 2020-12-27T08:08:50.000Z | predict.py | stonebegin/Promise12-3DUNet | d48d95ae7f2da98d068f84391dc547abd968981d | [
"MIT"
] | null | null | null | import importlib
import os
from datasets.hdf5 import get_test_loaders
from unet3d import utils
from unet3d.config import load_config
from unet3d.model import get_model
logger = utils.get_logger('UNet3DPredictor')
def _get_predictor(model, loader, output_file, config):
predictor_config = config.get('pr... | 30.869565 | 84 | 0.687324 | 177 | 1,420 | 5.259887 | 0.293785 | 0.053706 | 0.068743 | 0.080559 | 0.090226 | 0.090226 | 0.090226 | 0 | 0 | 0 | 0 | 0.008811 | 0.200704 | 1,420 | 45 | 85 | 31.555556 | 0.811454 | 0.091549 | 0 | 0 | 0 | 0 | 0.160484 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.241379 | 0 | 0.344828 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7910bb4a1911643dedff502020dff254dc351cc8 | 9,248 | py | Python | gitScrabber/scrabTasks/file/languageDetector.py | Eyenseo/gitScrabber | e3f5ce1a7b034fa3e40a54577268228a3be2b141 | [
"MIT"
] | null | null | null | gitScrabber/scrabTasks/file/languageDetector.py | Eyenseo/gitScrabber | e3f5ce1a7b034fa3e40a54577268228a3be2b141 | [
"MIT"
] | null | null | null | gitScrabber/scrabTasks/file/languageDetector.py | Eyenseo/gitScrabber | e3f5ce1a7b034fa3e40a54577268228a3be2b141 | [
"MIT"
] | null | null | null | """
The MIT License (MIT)
Copyright (c) 2017 Andreas Poppele
Copyright (c) 2017 Roland Jaeger
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the... | 35.706564 | 79 | 0.561635 | 1,020 | 9,248 | 4.935294 | 0.266667 | 0.016687 | 0.038737 | 0.052443 | 0.164084 | 0.112833 | 0.056416 | 0.034168 | 0.015892 | 0 | 0 | 0.006357 | 0.35359 | 9,248 | 258 | 80 | 35.844961 | 0.835731 | 0.305255 | 0 | 0.232558 | 0 | 0 | 0.060916 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062016 | false | 0 | 0.015504 | 0 | 0.224806 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7911642cb8be401271e397388edbb0e1b9d4ae27 | 4,667 | py | Python | VAE/full_model/model_training.py | youngmg1995/NES-Music-Maker | aeda10a541cfd439cfa46c45e63411e0d98e41c1 | [
"MIT"
] | 3 | 2020-06-26T22:02:35.000Z | 2021-11-20T19:24:33.000Z | VAE/full_model/model_training.py | youngmg1995/NES-Music-Maker | aeda10a541cfd439cfa46c45e63411e0d98e41c1 | [
"MIT"
] | null | null | null | VAE/full_model/model_training.py | youngmg1995/NES-Music-Maker | aeda10a541cfd439cfa46c45e63411e0d98e41c1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 1 17:14:19 2020
@author: Mitchell
model_training.py
~~~~~~~~~~~~~~~~~
This file serves as a script for building and training our VAE model. To do
so we used the VAE and DataSequence classes defined in the file `VAE.py`, as
well as helper functions from the file `dataset... | 31.748299 | 79 | 0.611099 | 546 | 4,667 | 5.058608 | 0.377289 | 0.025344 | 0.026068 | 0.020275 | 0.072411 | 0.034757 | 0.034757 | 0.034757 | 0 | 0 | 0 | 0.014478 | 0.156417 | 4,667 | 147 | 80 | 31.748299 | 0.687071 | 0.391044 | 0 | 0.057143 | 0 | 0 | 0.12621 | 0.063464 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085714 | 0 | 0.085714 | 0.042857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
79135bcae4aa65725d47cfe68fe799e301d340b1 | 7,172 | py | Python | backend/kale/tests/assets/kfp_dsl/simple_data_passing.py | brness/kale | d90310dbebc765c68915df0cf832a7a5d1ec1551 | [
"Apache-2.0"
] | 502 | 2019-07-18T16:19:16.000Z | 2022-03-30T19:45:31.000Z | backend/kale/tests/assets/kfp_dsl/simple_data_passing.py | brness/kale | d90310dbebc765c68915df0cf832a7a5d1ec1551 | [
"Apache-2.0"
] | 189 | 2019-09-22T10:54:02.000Z | 2022-03-28T13:46:31.000Z | backend/kale/tests/assets/kfp_dsl/simple_data_passing.py | brness/kale | d90310dbebc765c68915df0cf832a7a5d1ec1551 | [
"Apache-2.0"
] | 111 | 2019-09-25T20:28:47.000Z | 2022-03-24T01:31:46.000Z | import json
import kfp.dsl as _kfp_dsl
import kfp.components as _kfp_components
from collections import OrderedDict
from kubernetes import client as k8s_client
def step1():
from kale.common import mlmdutils as _kale_mlmdutils
_kale_mlmdutils.init_metadata()
from kale.marshal.decorator import marshal as... | 34.480769 | 88 | 0.725739 | 927 | 7,172 | 5.033441 | 0.148867 | 0.05015 | 0.027861 | 0.021432 | 0.688813 | 0.658165 | 0.618303 | 0.579297 | 0.522075 | 0.460994 | 0 | 0.012151 | 0.185304 | 7,172 | 207 | 89 | 34.647343 | 0.786411 | 0.010457 | 0 | 0.401235 | 0 | 0 | 0.093741 | 0.058782 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04321 | false | 0 | 0.111111 | 0 | 0.166667 | 0.012346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
791572847749537988baaf3cd53a31420b81f7a2 | 3,158 | py | Python | roombapy/discovery.py | Erelen-Laiquendi/roombapy | 104908ec040ebb72e16d3763741565eacc585801 | [
"MIT"
] | 17 | 2018-01-27T19:53:06.000Z | 2022-03-16T07:29:13.000Z | roombapy/discovery.py | Erelen-Laiquendi/roombapy | 104908ec040ebb72e16d3763741565eacc585801 | [
"MIT"
] | 78 | 2017-09-03T17:37:03.000Z | 2022-03-30T10:41:55.000Z | roombapy/discovery.py | bdraco/Roomba980-Python | d25583a7b8cd6e65148caeebc6849e73dff645da | [
"MIT"
] | 25 | 2017-09-03T13:43:21.000Z | 2022-03-19T23:41:51.000Z | import json
import logging
import socket
from roombapy.roomba_info import RoombaInfo
class RoombaDiscovery:
udp_bind_address = ""
udp_address = "<broadcast>"
udp_port = 5678
roomba_message = "irobotmcs"
amount_of_broadcasted_messages = 5
server_socket = None
log = None
def __init__(s... | 28.972477 | 79 | 0.594997 | 365 | 3,158 | 4.882192 | 0.265753 | 0.074074 | 0.044893 | 0.030303 | 0.147026 | 0.104377 | 0.104377 | 0.087542 | 0 | 0 | 0 | 0.005489 | 0.30779 | 3,158 | 108 | 80 | 29.240741 | 0.809698 | 0.00475 | 0 | 0.11236 | 0 | 0 | 0.061205 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.123596 | false | 0 | 0.044944 | 0 | 0.382022 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
791688dbd138ffb5132f957ed4ac7f6e3567bcff | 30,666 | py | Python | pmaf/biome/essentials/_taxonomy.py | mmtechslv/PhyloMAF | bab43dd4a4d2812951b1fdf4f1abb83edb79ea88 | [
"BSD-3-Clause"
] | 1 | 2021-07-02T06:24:17.000Z | 2021-07-02T06:24:17.000Z | pmaf/biome/essentials/_taxonomy.py | mmtechslv/PhyloMAF | bab43dd4a4d2812951b1fdf4f1abb83edb79ea88 | [
"BSD-3-Clause"
] | 1 | 2021-06-28T12:02:46.000Z | 2021-06-28T12:02:46.000Z | pmaf/biome/essentials/_taxonomy.py | mmtechslv/PhyloMAF | bab43dd4a4d2812951b1fdf4f1abb83edb79ea88 | [
"BSD-3-Clause"
] | null | null | null | import warnings
warnings.simplefilter("ignore", category=FutureWarning)
from pmaf.biome.essentials._metakit import EssentialFeatureMetabase
from pmaf.biome.essentials._base import EssentialBackboneBase
from pmaf.internal._constants import (
AVAIL_TAXONOMY_NOTATIONS,
jRegexGG,
jRegexQIIME,
BIOM_TAXONOMY... | 37.081016 | 133 | 0.559903 | 3,168 | 30,666 | 5.163194 | 0.10827 | 0.03228 | 0.035459 | 0.019686 | 0.468118 | 0.41982 | 0.337348 | 0.30464 | 0.273767 | 0.256587 | 0 | 0.002607 | 0.349442 | 30,666 | 826 | 134 | 37.125908 | 0.817293 | 0.177493 | 0 | 0.384762 | 0 | 0 | 0.039819 | 0.001878 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055238 | false | 0 | 0.022857 | 0 | 0.139048 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |