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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
513455e1e49a2cc7f2af7ad92dbc3662b0e294bf | 761 | py | Python | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null |
input = [line.rstrip() for line in open('./inputs/day4.txt')]
badWords = 0
for line in input:
dictionary = {}
words = line.split(' ')
for word in words:
print(words)
if word in dictionary:
badWords = badWords + 1
break
dictionary[ word ] = 1
print(len(input) - badWords)
# ---- CHAL... | 21.742857 | 82 | 0.599212 | 110 | 761 | 4.145455 | 0.354545 | 0.046053 | 0.059211 | 0.061404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015625 | 0.243101 | 761 | 35 | 83 | 21.742857 | 0.776042 | 0.030223 | 0 | 0.16 | 0 | 0 | 0.025815 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0 | 0 | 0.08 | 0.12 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
513c933b5d0724d79a4413fb53c8512d831f68a7 | 7,464 | py | Python | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torch.optim as optim
from prdataset import *
from torch.utils.data import DataLoader
from torchvision import transforms
import tqdm
from models import *
from inception_torch import InceptionV3
cuda = torch.cuda.is_availab... | 36.950495 | 143 | 0.624732 | 913 | 7,464 | 4.992333 | 0.250821 | 0.022817 | 0.014261 | 0.021062 | 0.120667 | 0.087758 | 0.070206 | 0.060114 | 0.047389 | 0.047389 | 0 | 0.017867 | 0.257637 | 7,464 | 201 | 144 | 37.134328 | 0.804728 | 0.017417 | 0 | 0.095238 | 0 | 0 | 0.025372 | 0.005593 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.071429 | 0.005952 | 0.214286 | 0.005952 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5141a9a0670c91a2b930b40b597fedf7c7054b49 | 8,906 | py | Python | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 6 | 2015-04-05T01:28:23.000Z | 2022-02-06T17:29:47.000Z | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 2 | 2022-01-05T23:07:10.000Z | 2022-03-30T17:52:45.000Z | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 2 | 2022-02-06T17:29:53.000Z | 2022-02-26T17:23:09.000Z | import os
# Path to your LambdaCast instance (no / behind the path)
try:
from local import ABSOLUTE_PATH
except ImportError:
ABSOLUTE_PATH = os.path.dirname(os.path.abspath(__file__)) + "/../.."
# Domain your instance should use, for example: 'http://example.com' (no / behind the path)
try:
from local imp... | 33.355805 | 126 | 0.717045 | 1,144 | 8,906 | 5.473776 | 0.357517 | 0.035292 | 0.009582 | 0.011498 | 0.123283 | 0.0939 | 0.075695 | 0.066113 | 0.053338 | 0.040882 | 0 | 0.006688 | 0.177296 | 8,906 | 266 | 127 | 33.481203 | 0.84796 | 0.484505 | 0 | 0.054054 | 0 | 0 | 0.40062 | 0.254598 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.006757 | 0.047297 | 0 | 0.047297 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
514411ea3d0032d20f78be6935784f8081b90d34 | 2,072 | py | Python | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | null | null | null | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | 1 | 2020-11-18T19:15:50.000Z | 2020-11-24T02:21:33.000Z | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | null | null | null | """Text Pre-processing.
This module process text messages based on Chen et al. (2019).
Added some steps (such as escaping HTML symbols, or having a more detailed list
of stop and negative words).
"""
import html
import re
import string
import pandas as pd
# Repeated chars more than 3 times
repeat_regex = r'(\w)\1{2... | 29.183099 | 79 | 0.642857 | 295 | 2,072 | 4.420339 | 0.372881 | 0.07362 | 0.069018 | 0.089724 | 0.160276 | 0.132669 | 0 | 0 | 0 | 0 | 0 | 0.010514 | 0.173745 | 2,072 | 70 | 80 | 29.6 | 0.75 | 0.326255 | 0 | 0 | 0 | 0 | 0.189189 | 0.067568 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.114286 | 0 | 0.171429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
514491bebe24982f7e39bca4c4425c0e236edb60 | 2,062 | py | Python | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 6 | 2015-08-21T08:43:25.000Z | 2021-12-29T16:16:59.000Z | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 2 | 2019-03-25T10:16:18.000Z | 2022-01-11T19:14:01.000Z | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 2 | 2020-10-29T06:15:03.000Z | 2021-12-29T16:42:28.000Z | from PySide.QtGui import QDialog
from ..gui.brush_dialog import Ui_BrushDialog
from PySide.QtGui import QPixmap
from PySide.QtCore import Qt
from ..brushes import SquareBrush
import math
class BrushDialog(QDialog):
def __init__(self, parent=None, brush=None):
super(BrushDialog, self).__init__(parent)
... | 34.366667 | 79 | 0.679922 | 271 | 2,062 | 4.98893 | 0.309963 | 0.066568 | 0.04068 | 0.047337 | 0.113905 | 0.056213 | 0 | 0 | 0 | 0 | 0 | 0.013052 | 0.21969 | 2,062 | 59 | 80 | 34.949153 | 0.827222 | 0.079049 | 0 | 0 | 0 | 0 | 0.078565 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0 | 0.130435 | 0 | 0.282609 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51457008bd685f3f5dea47108bc2573ac5535321 | 1,510 | py | Python | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | from json import JSONDecodeError
import requests
import sys
class Osta:
def __init__(self, logger, api_url):
self.api_url = api_url
self.logger = logger
def get_user_items(self, user_id):
self.logger.debug('Starting collection of osta.ee meters')
query_params = {
... | 32.826087 | 141 | 0.609272 | 190 | 1,510 | 4.726316 | 0.447368 | 0.100223 | 0.066815 | 0.053452 | 0.097996 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026827 | 0.284106 | 1,510 | 45 | 142 | 33.555556 | 0.803885 | 0 | 0 | 0.105263 | 0 | 0.026316 | 0.247682 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.078947 | 0.026316 | 0.289474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5146da738f04b9b9d8f97c34d071f17da9198bde | 794 | py | Python | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 1,128 | 2019-09-11T01:38:09.000Z | 2022-03-31T17:06:56.000Z | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 45 | 2019-09-11T05:39:53.000Z | 2021-12-05T17:52:07.000Z | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 185 | 2019-09-11T02:15:56.000Z | 2022-03-23T16:12:41.000Z |
_base_config_ = "base.py"
model_size = 512
model_url = "http://folk.ntnu.no/haakohu/checkpoints/step_42000000.ckpt"
models = dict(
scalar_pose_input=False,
max_imsize=128,
conv_size={
4: model_size,
8: model_size,
16: model_size,
32: model_size,
64: model_size//2,... | 18.465116 | 72 | 0.540302 | 92 | 794 | 4.413043 | 0.565217 | 0.199507 | 0.049261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107692 | 0.345088 | 794 | 42 | 73 | 18.904762 | 0.673077 | 0 | 0 | 0.054054 | 0 | 0 | 0.098361 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
514737538b6050cbe92637918e942f1823b10292 | 1,699 | py | Python | server/weather/RestWeatherProvider.py | EveryOtherUsernameWasAlreadyTaken/BIS | e132ce42dcc74e634231398dfecb08834d478cba | [
"MIT"
] | 3 | 2019-07-09T08:51:20.000Z | 2019-09-16T17:27:54.000Z | server/weather/RestWeatherProvider.py | thomasw-mitutoyo-ctl/BIS | 08525cc12164902dfe968ae41beb6de0cd5bc411 | [
"MIT"
] | 24 | 2019-06-17T12:33:35.000Z | 2020-03-27T08:17:35.000Z | server/weather/RestWeatherProvider.py | EveryOtherUsernameWasAlreadyTaken/BIS | e132ce42dcc74e634231398dfecb08834d478cba | [
"MIT"
] | 1 | 2020-03-24T17:54:07.000Z | 2020-03-24T17:54:07.000Z | import json
import logging
import threading
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
log = logging.getLogger(__name__)
class RestWeatherProvider(threading.Thread):
"""
The RestWeatherProvider serves the collected weather data using a simple http server. The weather data can be
obtai... | 30.339286 | 114 | 0.669806 | 183 | 1,699 | 6.054645 | 0.469945 | 0.075812 | 0.048736 | 0.037906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00387 | 0.239553 | 1,699 | 55 | 115 | 30.890909 | 0.853715 | 0.1907 | 0 | 0.064516 | 0 | 0 | 0.098784 | 0.043313 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16129 | false | 0 | 0.129032 | 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 |
514976db1636eff4f1c2e435911894cc18620e2c | 1,531 | py | Python | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | 1 | 2019-03-17T11:26:36.000Z | 2019-03-17T11:26:36.000Z | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | null | null | null | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Recruit Communications Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 36.452381 | 98 | 0.665578 | 221 | 1,531 | 4.479638 | 0.475113 | 0.060606 | 0.063636 | 0.078788 | 0.205051 | 0.205051 | 0.2 | 0.109091 | 0.082828 | 0 | 0 | 0.042079 | 0.208361 | 1,531 | 41 | 99 | 37.341463 | 0.774752 | 0.371653 | 0 | 0.1 | 0 | 0 | 0.040084 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.15 | false | 0 | 0.1 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
514b2ccf532fafc08943123f355c409988b89713 | 6,778 | py | Python | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 43.729032 | 121 | 0.627176 | 961 | 6,778 | 4.182102 | 0.213319 | 0.042548 | 0.019905 | 0.005972 | 0.253546 | 0.155511 | 0.121423 | 0.070416 | 0.034337 | 0.034337 | 0 | 0.012932 | 0.235615 | 6,778 | 154 | 122 | 44.012987 | 0.762787 | 0.165683 | 0 | 0.073395 | 0 | 0.009174 | 0.071824 | 0.012328 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082569 | false | 0 | 0.06422 | 0 | 0.155963 | 0.027523 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
514d779997818ca67945865e73aa82b847c739ae | 3,302 | py | Python | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 12 | 2018-06-28T13:40:53.000Z | 2022-01-07T12:46:15.000Z | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 6 | 2019-04-29T16:55:38.000Z | 2022-03-04T17:00:15.000Z | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 5 | 2019-04-21T15:42:55.000Z | 2021-08-16T10:53:30.000Z | #<hide>
"""
filtergraph:
Streaming part | Decoding part
|
(LiveThread:livethread) -->> (AVThread:avthread) --> {InfoFrameFilter:info_filter}
"""
#</hide>
#<hide>
import time
from valkka.core import *
#</hide>
"""<rtf>
Let's consider the following filtergraph:
::
Streami... | 31.447619 | 214 | 0.657783 | 394 | 3,302 | 5.467005 | 0.418782 | 0.033426 | 0.044568 | 0.051996 | 0.292479 | 0.262767 | 0.262767 | 0.262767 | 0.262767 | 0.192201 | 0 | 0.050208 | 0.197759 | 3,302 | 104 | 215 | 31.75 | 0.762929 | 0.086008 | 0 | 0 | 0 | 0 | 0.113487 | 0.060855 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
514e969fdf154b0e8e5327483cdde2b37efd808d | 44,964 | py | Python | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 3 | 2015-08-02T09:03:28.000Z | 2017-12-06T09:26:14.000Z | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 5 | 2015-08-17T01:16:35.000Z | 2015-09-16T21:51:27.000Z | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 6 | 2015-05-17T15:32:20.000Z | 2020-04-22T08:43:16.000Z | # -*- coding: utf-8 -ü-
import os
import re
import types
try:
from zopyx.txng3.ext import stemmer as Stemmer
except ImportError:
Stemmer = None
from cheshire3.baseObjects import Normalizer
from cheshire3.exceptions import (
ConfigFileException,
MissingDependencyException
)
class SimpleNormalizer(No... | 33.134856 | 79 | 0.455231 | 4,943 | 44,964 | 4.102367 | 0.233461 | 0.034717 | 0.012082 | 0.031068 | 0.207318 | 0.176793 | 0.151297 | 0.127626 | 0.10001 | 0.086646 | 0 | 0.129748 | 0.382929 | 44,964 | 1,356 | 80 | 33.159292 | 0.601096 | 0.095121 | 0 | 0.212938 | 0 | 0.001797 | 0.229401 | 0.005109 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043127 | false | 0.008086 | 0.007188 | 0.006289 | 0.140162 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
514e96ff8378de7f403d3d5b87b39b9cacaa544f | 1,976 | py | Python | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | import unittest
from flask.ext.testing import TestCase
from project import app, db
from project.models import User, BlogPost
from base import BaseTestCase
class FlaskTestCase(BaseTestCase):
# def setUp(self):
# self.tester = app.test_client(self)
# self.good_cred = dict(username='admin', password=... | 37.283019 | 96 | 0.671053 | 243 | 1,976 | 5.263374 | 0.26749 | 0.062549 | 0.103987 | 0.089914 | 0.656763 | 0.656763 | 0.636435 | 0.555903 | 0.45817 | 0.412041 | 0 | 0.009603 | 0.209514 | 1,976 | 52 | 97 | 38 | 0.809219 | 0.091093 | 0 | 0.447368 | 0 | 0 | 0.087102 | 0 | 0 | 0 | 0 | 0 | 0.263158 | 1 | 0.157895 | false | 0 | 0.131579 | 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 |
5150d680a6e92b183496e1677c8274249125d1ee | 3,794 | py | Python | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | # MagellanMapper logging
"""Logging utilities."""
import logging
from logging import handlers
import pathlib
class LogWriter:
"""File-like object to write standard output to logging functions.
Attributes:
fn_logging (func): Logging function
buffer (list[str]): String buffer.
"""... | 29.874016 | 77 | 0.624671 | 463 | 3,794 | 5.062635 | 0.358531 | 0.021331 | 0.038396 | 0.031997 | 0.116894 | 0.116894 | 0.116894 | 0.116894 | 0.081058 | 0 | 0 | 0.007305 | 0.278334 | 3,794 | 126 | 78 | 30.111111 | 0.848795 | 0.457828 | 0 | 0.134615 | 0 | 0 | 0.050976 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0.019231 | 0.057692 | 0 | 0.269231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5151eb6104a2efda27edf90bc5d40eacc7c63499 | 3,322 | py | Python | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Created : 2021/10/28 17:12
# @Author : Junhyung Kwon
# @Site :
# @File : har_train.py
# @Software : PyCharm
import os
import torch
import torch.nn.functional as F
from torch import nn, optim
from torch.optim.lr_scheduler import MultiStepLR
from tqdm.au... | 30.477064 | 118 | 0.621915 | 460 | 3,322 | 4.345652 | 0.336957 | 0.036018 | 0.02001 | 0.015008 | 0.244122 | 0.194097 | 0.172086 | 0.172086 | 0.172086 | 0.172086 | 0 | 0.025549 | 0.245936 | 3,322 | 108 | 119 | 30.759259 | 0.772455 | 0.048164 | 0 | 0.256757 | 0 | 0 | 0.054517 | 0.033597 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040541 | false | 0 | 0.148649 | 0 | 0.22973 | 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 |
5153b4798f2410a6aa6709c5a6328570a85d91d6 | 3,052 | py | Python | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 2 | 2021-07-02T20:10:48.000Z | 2021-07-13T20:51:18.000Z | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 3 | 2021-06-24T13:27:21.000Z | 2021-07-30T15:37:43.000Z | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 3 | 2021-06-23T19:53:20.000Z | 2022-01-04T17:50:44.000Z | from lime_python import Command
from ...extension_base import ExtensionBase
from .content_type import ContentType
from .uri_templates import UriTemplates
class AIModelExtension(ExtensionBase):
"""Extension to handle Blip Analytics Services."""
async def get_models_async(
self,
skip: int = 0,
... | 27.495495 | 79 | 0.564548 | 298 | 3,052 | 5.57047 | 0.281879 | 0.059639 | 0.075904 | 0.104819 | 0.414458 | 0.393976 | 0.266265 | 0.266265 | 0.266265 | 0.266265 | 0 | 0.002056 | 0.362385 | 3,052 | 110 | 80 | 27.745455 | 0.850976 | 0.014417 | 0 | 0.210526 | 0 | 0 | 0.0108 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.070175 | 0 | 0.192982 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5155a6295dbb373ee9af2abbcd7551a82f2a7146 | 1,683 | py | Python | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | """
DataJunction (DJ) is a metric repository.
Usage:
dj compile [REPOSITORY] [-f] [--loglevel=INFO] [--reload]
Actions:
compile Compile repository
Options:
-f, --force Force indexing. [default: false]
--loglevel=LEVEL Level for logging. [default: INFO]
--relo... | 23.054795 | 63 | 0.608437 | 168 | 1,683 | 5.892857 | 0.428571 | 0.064646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003344 | 0.289364 | 1,683 | 72 | 64 | 23.375 | 0.824415 | 0.276887 | 0 | 0.083333 | 0 | 0 | 0.068045 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.222222 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5159b6cde26f7df203594b171f65dbf811705a8e | 1,286 | py | Python | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 4 | 2015-03-30T22:46:35.000Z | 2020-09-08T02:03:53.000Z | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 21 | 2015-02-03T23:12:36.000Z | 2017-09-15T21:03:24.000Z | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 2 | 2016-08-14T20:18:52.000Z | 2019-09-30T16:02:22.000Z | import sys
import collections
import tornado
class Registry(object):
def __init__(self, max_entries=10000, ioloop=None):
self.models = collections.OrderedDict()
self.timeouts = {}
self.ioloop = ioloop or tornado.ioloop.IOLoop.current()
self.max_entries = max_entries
def regis... | 28.577778 | 75 | 0.618974 | 144 | 1,286 | 5.375 | 0.305556 | 0.134367 | 0.144703 | 0.089147 | 0.289406 | 0.080103 | 0 | 0 | 0 | 0 | 0 | 0.010672 | 0.271384 | 1,286 | 44 | 76 | 29.227273 | 0.815368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16129 | false | 0 | 0.096774 | 0 | 0.290323 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
515bc2e00165e4793cb2c05d11188ceed1d51545 | 1,672 | py | Python | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | 3 | 2020-11-04T19:34:47.000Z | 2021-06-30T04:13:55.000Z | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | null | null | null | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | 1 | 2021-01-31T19:30:59.000Z | 2021-01-31T19:30:59.000Z | # -*- coding: utf-8 -*-
from rest_framework import permissions
from account.models import BlackList
class BlacklistPermission(permissions.BasePermission):
"""
Global permission check for blacklisted IPs.
"""
def has_permission(self, request, view):
ip_address = request.META["REMOTE_ADDR"]
... | 35.574468 | 78 | 0.641746 | 198 | 1,672 | 5.232323 | 0.353535 | 0.100386 | 0.043436 | 0.086873 | 0.40251 | 0.38417 | 0.357143 | 0.30888 | 0.30888 | 0.30888 | 0 | 0.000757 | 0.209928 | 1,672 | 47 | 79 | 35.574468 | 0.783497 | 0.040072 | 0 | 0.133333 | 0 | 0 | 0.158491 | 0.106918 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
515c32b2748b2c0d803dfa8b97d5d1d27008566b | 1,498 | py | Python | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | from helpers import Helpers
import numpy as np
def multiples(numbers: [int]) -> [int]:
"""
Multiplies all of the values in the list excepting the value at the current index
e.g. original numbers = [4, 1, 6] returns the multiples = [6, 24, 4] where the
first value is the product of 1 * 6 and does not i... | 31.208333 | 85 | 0.695594 | 212 | 1,498 | 4.716981 | 0.367925 | 0.072 | 0.045 | 0.06 | 0.116 | 0.116 | 0.062 | 0 | 0 | 0 | 0 | 0.017812 | 0.212951 | 1,498 | 47 | 86 | 31.87234 | 0.830365 | 0.26502 | 0 | 0 | 0 | 0 | 0.058107 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.074074 | 0 | 0.259259 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
515e110e923bd04c8ebed32a1acaa5cd9ac55ba1 | 943 | py | Python | 2016b/main.py | xdr940/iKaggle | cc0210e089e5f1af228f02bf67bb9a4459336722 | [
"MIT"
] | null | null | null | 2016b/main.py | xdr940/iKaggle | cc0210e089e5f1af228f02bf67bb9a4459336722 | [
"MIT"
] | null | null | null | 2016b/main.py | xdr940/iKaggle | cc0210e089e5f1af228f02bf67bb9a4459336722 | [
"MIT"
] | null | null | null | import pandas as pd
import pandas_profiling
from path import Path
import numpy as np
from scipy.stats import chi2_contingency
from collections import Counter
root = Path('/home/roit/datasets/kaggle/2016b')
dump_path = root/'dump'
ge_info = root/'gene_info'
exitnpy = False
if exitnpy==False:
genes_dic = []
g... | 21.431818 | 65 | 0.622481 | 148 | 943 | 3.851351 | 0.466216 | 0.042105 | 0.035088 | 0.052632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013793 | 0.231177 | 943 | 44 | 66 | 21.431818 | 0.772414 | 0.02333 | 0 | 0 | 0 | 0 | 0.092391 | 0.058696 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
515f21eaa0b5ed2cf1b0e5658806e586107dfcd7 | 1,376 | py | Python | examples/mxnet/dis_kvstore/client.py | tqchen/dgl | d57ff78da11193fbbee7f37a69fcfe1c14da2ae4 | [
"Apache-2.0"
] | 2 | 2020-05-10T14:06:12.000Z | 2021-01-01T02:57:20.000Z | examples/mxnet/dis_kvstore/client.py | tqchen/dgl | d57ff78da11193fbbee7f37a69fcfe1c14da2ae4 | [
"Apache-2.0"
] | null | null | null | examples/mxnet/dis_kvstore/client.py | tqchen/dgl | d57ff78da11193fbbee7f37a69fcfe1c14da2ae4 | [
"Apache-2.0"
] | null | null | null | # This is a simple MXNet server demo shows how to use DGL distributed kvstore.
import dgl
import argparse
import mxnet as mx
ID = []
ID.append(mx.nd.array([0,1], dtype='int64'))
ID.append(mx.nd.array([2,3], dtype='int64'))
ID.append(mx.nd.array([4,5], dtype='int64'))
ID.append(mx.nd.array([6,7], dtype='int64'))
edata... | 32.761905 | 110 | 0.631541 | 227 | 1,376 | 3.656388 | 0.242291 | 0.048193 | 0.108434 | 0.060241 | 0.439759 | 0.343373 | 0.343373 | 0.245783 | 0.245783 | 0.245783 | 0 | 0.060262 | 0.167878 | 1,376 | 42 | 111 | 32.761905 | 0.664629 | 0.055233 | 0 | 0.111111 | 0 | 0 | 0.070054 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.111111 | 0 | 0.148148 | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
516282162e672e92cb14c5b353f7f1dcb8f0e66a | 2,318 | py | Python | python-project/methods/KDE.py | ferjorosa/bayesian-latent-forests | 3d9e19f1d0be1e4cca0b390866589061a670cc20 | [
"Apache-2.0"
] | null | null | null | python-project/methods/KDE.py | ferjorosa/bayesian-latent-forests | 3d9e19f1d0be1e4cca0b390866589061a670cc20 | [
"Apache-2.0"
] | null | null | null | python-project/methods/KDE.py | ferjorosa/bayesian-latent-forests | 3d9e19f1d0be1e4cca0b390866589061a670cc20 | [
"Apache-2.0"
] | null | null | null | import statsmodels.api as sm
import numpy as np
import os
import time
import json
def apply(train_datasets, var_types_string, test_datasets, n_folds, result_path, filename, foldLog):
print("\n========================")
print("KDE")
print("========================")
results = {}
folds = {}
av... | 36.793651 | 126 | 0.595772 | 301 | 2,318 | 4.325581 | 0.269103 | 0.078341 | 0.080645 | 0.067588 | 0.261137 | 0.18894 | 0.115207 | 0.115207 | 0.115207 | 0.115207 | 0 | 0.010538 | 0.222174 | 2,318 | 62 | 127 | 37.387097 | 0.711592 | 0.044866 | 0 | 0.14 | 0 | 0 | 0.180009 | 0.086386 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.1 | 0 | 0.14 | 0.22 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5162cae16f1582e2cd15f8c44ff6385eae028502 | 3,471 | py | Python | pay-api/tests/unit/services/test_auth.py | stevenc987/sbc-pay | 04f02f362f88a30c082b0643583b8d0ebff6063f | [
"Apache-2.0"
] | null | null | null | pay-api/tests/unit/services/test_auth.py | stevenc987/sbc-pay | 04f02f362f88a30c082b0643583b8d0ebff6063f | [
"Apache-2.0"
] | null | null | null | pay-api/tests/unit/services/test_auth.py | stevenc987/sbc-pay | 04f02f362f88a30c082b0643583b8d0ebff6063f | [
"Apache-2.0"
] | null | null | null | # Copyright © 2019 Province of British Columbia
#
# 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 agr... | 35.060606 | 91 | 0.682224 | 444 | 3,471 | 5.148649 | 0.317568 | 0.027559 | 0.030621 | 0.059055 | 0.53762 | 0.53762 | 0.506562 | 0.506562 | 0.476815 | 0.404199 | 0 | 0.021892 | 0.223567 | 3,471 | 98 | 92 | 35.418367 | 0.825974 | 0.422645 | 0 | 0.586957 | 0 | 0 | 0.16172 | 0.08086 | 0 | 0 | 0 | 0 | 0.065217 | 1 | 0.152174 | false | 0 | 0.086957 | 0.086957 | 0.326087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5164ffb41b1068e6e8353350ba4bc5a194d1426f | 2,848 | py | Python | testNim.py | PauloHSNeto/Ciencia-de-Computa-o-CourseEra | 230281ba7227348ed2d27bb20039aed223244d94 | [
"bzip2-1.0.6"
] | null | null | null | testNim.py | PauloHSNeto/Ciencia-de-Computa-o-CourseEra | 230281ba7227348ed2d27bb20039aed223244d94 | [
"bzip2-1.0.6"
] | null | null | null | testNim.py | PauloHSNeto/Ciencia-de-Computa-o-CourseEra | 230281ba7227348ed2d27bb20039aed223244d94 | [
"bzip2-1.0.6"
] | null | null | null | computador = 0
usuario = 0
rodada = 0
def computador_escolhe_jogada(n, m):
global computador
n = n - m
if (n == 1):
print(" ")
print("O computador tirou %s peça." % n)
print("Agora restam %s peças no tabuleiro." % n)
print(" ")
if (n == 0):
print ("Fim do... | 29.061224 | 79 | 0.466643 | 323 | 2,848 | 4.049536 | 0.20743 | 0.019878 | 0.06422 | 0.068807 | 0.441896 | 0.262997 | 0.262997 | 0.188073 | 0.188073 | 0.188073 | 0 | 0.013642 | 0.408006 | 2,848 | 97 | 80 | 29.360825 | 0.762159 | 0 | 0 | 0.597826 | 0 | 0 | 0.247542 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032609 | false | 0.01087 | 0 | 0 | 0.086957 | 0.358696 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
516615c0dc774d664f76be40cc3b724ef7f05aa9 | 15,206 | py | Python | mbuild/formats/hoomd_simulation.py | dcardenasv/mbuild | 20c13f6bb66c6b023b07d7a2b2e4ad0a5073d727 | [
"MIT"
] | null | null | null | mbuild/formats/hoomd_simulation.py | dcardenasv/mbuild | 20c13f6bb66c6b023b07d7a2b2e4ad0a5073d727 | [
"MIT"
] | null | null | null | mbuild/formats/hoomd_simulation.py | dcardenasv/mbuild | 20c13f6bb66c6b023b07d7a2b2e4ad0a5073d727 | [
"MIT"
] | null | null | null | import warnings
import itertools
import numpy as np
import operator
from collections import namedtuple
import parmed as pmd
import mbuild as mb
from mbuild.utils.sorting import natural_sort
from mbuild.utils.io import import_
from mbuild.utils.conversion import RB_to_OPLS
from .hoomd_snapshot import to_hoomdsnapshot
... | 40.657754 | 85 | 0.636262 | 1,963 | 15,206 | 4.723892 | 0.173714 | 0.037852 | 0.021137 | 0.008304 | 0.303677 | 0.249865 | 0.182897 | 0.144398 | 0.121212 | 0.111722 | 0 | 0.023191 | 0.268381 | 15,206 | 373 | 86 | 40.766756 | 0.810337 | 0.176378 | 0 | 0.164063 | 0 | 0 | 0.099699 | 0.010165 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035156 | false | 0.011719 | 0.082031 | 0 | 0.160156 | 0.039063 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51668e773b785fc937e32ac3a240021ec3f1a368 | 595 | py | Python | homework/jenya_s/homework12.py | aodarc/LIST-010 | 4579a047ca1ae0266f368349ea4536c6eb367f97 | [
"MIT"
] | null | null | null | homework/jenya_s/homework12.py | aodarc/LIST-010 | 4579a047ca1ae0266f368349ea4536c6eb367f97 | [
"MIT"
] | 4 | 2018-12-19T13:41:12.000Z | 2019-01-14T15:11:11.000Z | homework/jenya_s/homework12.py | aodarc/LIST-010 | 4579a047ca1ae0266f368349ea4536c6eb367f97 | [
"MIT"
] | null | null | null | import os
class Cpypl:
def __init__(self, directory):
self.directory = directory
self.extension_dict = {"c": (".c", ".h"),
"py": (".py", ".pyc"),
"pl": (".pl", ".pm"),
}
def ... | 29.75 | 88 | 0.480672 | 66 | 595 | 4.181818 | 0.545455 | 0.141304 | 0.123188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.381513 | 595 | 19 | 89 | 31.315789 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.097222 | 0.050347 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.357143 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a8c5dccd774b45cfea010980c9e6fb6227679df | 3,307 | py | Python | Python/data/preprocess.py | SCAN-NRAD/BrainRegressorCNN | 7917c6a6c4e3728db17ec762c63f8253392e6c04 | [
"BSD-3-Clause"
] | 1 | 2022-02-11T18:49:34.000Z | 2022-02-11T18:49:34.000Z | Python/data/preprocess.py | SCAN-NRAD/BrainRegressorCNN | 7917c6a6c4e3728db17ec762c63f8253392e6c04 | [
"BSD-3-Clause"
] | null | null | null | Python/data/preprocess.py | SCAN-NRAD/BrainRegressorCNN | 7917c6a6c4e3728db17ec762c63f8253392e6c04 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import scipy.ndimage.measurements as scipy_measurements
import miapy.data.transformation as miapy_tfm
class ClipNegativeTransform(miapy_tfm.Transform):
def __init__(self, entries=('images',)) -> None:
super().__init__()
self.entries = entries
def __call__(self, sample: dic... | 30.063636 | 89 | 0.558512 | 398 | 3,307 | 4.462312 | 0.261307 | 0.04955 | 0.04223 | 0.033784 | 0.395833 | 0.366554 | 0.34009 | 0.292793 | 0.268018 | 0.268018 | 0 | 0.020947 | 0.335954 | 3,307 | 109 | 90 | 30.33945 | 0.787796 | 0.071969 | 0 | 0.486111 | 0 | 0 | 0.031036 | 0.009801 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.041667 | 0 | 0.263889 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a8e3a68bba6328be4a0daef3330c63f8527f035 | 1,828 | py | Python | conversion_service/config/settings/worker.py | das-g/osmaxx-postgis-conversion | c41aba1cb0fd112de12c8c0540584b7caa651150 | [
"MIT"
] | null | null | null | conversion_service/config/settings/worker.py | das-g/osmaxx-postgis-conversion | c41aba1cb0fd112de12c8c0540584b7caa651150 | [
"MIT"
] | null | null | null | conversion_service/config/settings/worker.py | das-g/osmaxx-postgis-conversion | c41aba1cb0fd112de12c8c0540584b7caa651150 | [
"MIT"
] | null | null | null | # pylint: skip-file
import random
import string
from .common import * # noqa
# we don't use user sessions, so it doesn't matter if we recreate the secret key on each startup
SECRET_KEY = ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(30))
# disable databases for the worker
DATABASES =... | 26.114286 | 96 | 0.461707 | 154 | 1,828 | 5.38961 | 0.558442 | 0.043373 | 0.086747 | 0.104819 | 0.210843 | 0.093976 | 0 | 0 | 0 | 0 | 0 | 0.002695 | 0.391138 | 1,828 | 69 | 97 | 26.492754 | 0.743037 | 0.089716 | 0 | 0.196429 | 0 | 0 | 0.308389 | 0.080869 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.053571 | 0 | 0.053571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a9137e47101ff21c41e130f1251b26b67a1b350 | 708 | py | Python | test/espnet2/layers/test_log_mel.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 5,053 | 2017-12-13T06:21:41.000Z | 2022-03-31T13:38:29.000Z | test/espnet2/layers/test_log_mel.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 3,666 | 2017-12-14T05:58:50.000Z | 2022-03-31T22:11:49.000Z | test/espnet2/layers/test_log_mel.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 1,709 | 2017-12-13T01:02:42.000Z | 2022-03-31T11:57:45.000Z | import torch
from espnet2.layers.log_mel import LogMel
def test_repr():
print(LogMel())
def test_forward():
layer = LogMel(n_fft=16, n_mels=2)
x = torch.randn(2, 4, 9)
y, _ = layer(x)
assert y.shape == (2, 4, 2)
y, ylen = layer(x, torch.tensor([4, 2], dtype=torch.long))
assert (ylen == ... | 22.125 | 65 | 0.610169 | 121 | 708 | 3.396694 | 0.322314 | 0.068127 | 0.087591 | 0.109489 | 0.600973 | 0.600973 | 0.508516 | 0.377129 | 0.377129 | 0.377129 | 0 | 0.048825 | 0.218927 | 708 | 31 | 66 | 22.83871 | 0.694394 | 0 | 0 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.272727 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a97b4378066662b1ab8308caa3ca06c47283ec7 | 43,014 | py | Python | AESDataV3.py | JHerrmann01/AESDataManipulator | 836ee74326ee0c35435b5fe0bb9875d392b2cc7c | [
"Apache-2.0"
] | null | null | null | AESDataV3.py | JHerrmann01/AESDataManipulator | 836ee74326ee0c35435b5fe0bb9875d392b2cc7c | [
"Apache-2.0"
] | null | null | null | AESDataV3.py | JHerrmann01/AESDataManipulator | 836ee74326ee0c35435b5fe0bb9875d392b2cc7c | [
"Apache-2.0"
] | null | null | null | ###American Environmental Solutions Data Manipulation###
## Created by Jeremy Herrmann ##
##Import Libraries##
from __future__ import print_function
from os.path import join, dirname, abspath
import xlrd
from xlrd.sheet import ctype_text
import xlsxwriter
####################
def loadSpreadsh... | 46.907306 | 241 | 0.632561 | 4,692 | 43,014 | 5.72954 | 0.070546 | 0.024737 | 0.02377 | 0.020459 | 0.698732 | 0.662947 | 0.628538 | 0.542499 | 0.462486 | 0.43786 | 0 | 0.028124 | 0.236179 | 43,014 | 916 | 242 | 46.958515 | 0.790108 | 0.023341 | 0 | 0.48072 | 0 | 0 | 0.03106 | 0.001148 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03856 | false | 0 | 0.006427 | 0 | 0.083548 | 0.010283 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a9823ed404374fd6e8abf22e09c47cf13d68464 | 6,282 | py | Python | lhrhost/robot/robot.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | null | null | null | lhrhost/robot/robot.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | null | null | null | lhrhost/robot/robot.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | 1 | 2018-08-03T17:17:31.000Z | 2018-08-03T17:17:31.000Z | """Abstractions for a liquid-handling robot."""
# Standard imports
import asyncio
import logging
# Local package imports
from lhrhost.robot.p_axis import Axis as PAxis
from lhrhost.robot.x_axis import Axis as XAxis
from lhrhost.robot.y_axis import Axis as YAxis
from lhrhost.robot.z_axis import Axis as ZAxis
from lhrh... | 37.616766 | 81 | 0.650748 | 836 | 6,282 | 4.683014 | 0.19378 | 0.055172 | 0.03576 | 0.036782 | 0.407918 | 0.356833 | 0.314432 | 0.304215 | 0.304215 | 0.294508 | 0 | 0.002804 | 0.262018 | 6,282 | 166 | 82 | 37.843373 | 0.841674 | 0.053327 | 0 | 0.304348 | 0 | 0 | 0.054978 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017391 | false | 0 | 0.06087 | 0 | 0.086957 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a9d0c2e4e731186b891bcd4f534edfa2b33e353 | 1,599 | py | Python | references/stm32_parsing_sim/stm32parser.py | koson/OTA_update_STM32_using_ESP32 | 7fe7ae64d5290c0a453c29d787b5fe9456910e96 | [
"MIT"
] | 155 | 2020-02-15T06:54:15.000Z | 2021-09-16T07:19:19.000Z | references/stm32_parsing_sim/stm32parser.py | ksmola/OTA_update_STM32_using_ESP32 | dd616a1212da8f874e4826d63cfbd4c3b9ad2df2 | [
"MIT"
] | 8 | 2020-10-09T08:56:52.000Z | 2021-09-01T03:42:49.000Z | references/stm32_parsing_sim/stm32parser.py | ksmola/OTA_update_STM32_using_ESP32 | dd616a1212da8f874e4826d63cfbd4c3b9ad2df2 | [
"MIT"
] | 25 | 2020-03-16T04:41:12.000Z | 2021-08-19T11:49:40.000Z |
import time
import math as m
start = time.time()
def checksum(block):
data_chk = []
xor = '0'
for line in block:
for x in range(0, len(line) - 1, 2):
xor = hex(int(xor, 16) ^ int(line[x], 16) ^ int(line[x + 1], 16))
data_chk.append(xor)
xor = '0'
return data_chk
... | 20.766234 | 77 | 0.499062 | 230 | 1,599 | 3.378261 | 0.273913 | 0.030888 | 0.03861 | 0.042471 | 0.149292 | 0.110682 | 0 | 0 | 0 | 0 | 0 | 0.071698 | 0.337086 | 1,599 | 76 | 78 | 21.039474 | 0.661321 | 0.020013 | 0 | 0.137255 | 0 | 0 | 0.086957 | 0 | 0 | 0 | 0.011509 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.039216 | 0 | 0.098039 | 0.196078 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a9d5971fc9f0f68b3b0383f6727b85c4065e172 | 3,034 | py | Python | sw/device/silicon_creator/lib/crypto/tests/testvectors/wycheproof/rsa_3072_verify_parse_testvectors.py | matutem/opentitan | a41c0a57568f1dc8263a4ecc3913f190750959f5 | [
"Apache-2.0"
] | null | null | null | sw/device/silicon_creator/lib/crypto/tests/testvectors/wycheproof/rsa_3072_verify_parse_testvectors.py | matutem/opentitan | a41c0a57568f1dc8263a4ecc3913f190750959f5 | [
"Apache-2.0"
] | null | null | null | sw/device/silicon_creator/lib/crypto/tests/testvectors/wycheproof/rsa_3072_verify_parse_testvectors.py | matutem/opentitan | a41c0a57568f1dc8263a4ecc3913f190750959f5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
import argparse
import json
import math
import sys
import hjson
def parse_hex_int(hex_str):
# int() throws an error message for empty string
... | 28.622642 | 85 | 0.586684 | 385 | 3,034 | 4.503896 | 0.366234 | 0.036332 | 0.031719 | 0.018454 | 0.122261 | 0.086505 | 0.056517 | 0 | 0 | 0 | 0 | 0.010412 | 0.271918 | 3,034 | 105 | 86 | 28.895238 | 0.774559 | 0.152933 | 0 | 0.2 | 0 | 0 | 0.202814 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.228571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5a9e608dad9679e93ef744bc1105dbf95d043cce | 2,479 | py | Python | Tools/boot_now.py | wms124/PX4_1.4.1_Back-up | 9d6d903a8f46346281ae11104c47f1904da05e37 | [
"BSD-3-Clause"
] | 4,224 | 2015-01-02T11:51:02.000Z | 2020-10-27T23:42:28.000Z | Tools/boot_now.py | wms124/PX4_1.4.1_Back-up | 9d6d903a8f46346281ae11104c47f1904da05e37 | [
"BSD-3-Clause"
] | 11,736 | 2015-01-01T11:59:16.000Z | 2020-10-28T17:13:38.000Z | Tools/boot_now.py | wms124/PX4_1.4.1_Back-up | 9d6d903a8f46346281ae11104c47f1904da05e37 | [
"BSD-3-Clause"
] | 11,850 | 2015-01-02T14:54:47.000Z | 2020-10-28T16:42:47.000Z | #!/usr/bin/env python
############################################################################
#
# Copyright (C) 2012-2015 PX4 Development Team. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are me... | 41.316667 | 108 | 0.702299 | 341 | 2,479 | 5.093842 | 0.533724 | 0.020725 | 0.019574 | 0.026482 | 0.133564 | 0.10593 | 0.078296 | 0.078296 | 0.078296 | 0.078296 | 0 | 0.013069 | 0.166599 | 2,479 | 59 | 109 | 42.016949 | 0.827686 | 0.632513 | 0 | 0 | 0 | 0 | 0.232782 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5aa4c977dc126a0fbb76c33235561df665c5a977 | 10,248 | py | Python | pyalp/stimulus/film.py | BaptisteLefebvre/pyalp | 05cb8ff9e66f95ed9c70a8ab8a91c78794f7350a | [
"MIT"
] | 1 | 2020-11-09T09:23:11.000Z | 2020-11-09T09:23:11.000Z | pyalp/stimulus/film.py | BaptisteLefebvre/pyalp | 05cb8ff9e66f95ed9c70a8ab8a91c78794f7350a | [
"MIT"
] | null | null | null | pyalp/stimulus/film.py | BaptisteLefebvre/pyalp | 05cb8ff9e66f95ed9c70a8ab8a91c78794f7350a | [
"MIT"
] | 1 | 2020-11-09T09:23:19.000Z | 2020-11-09T09:23:19.000Z | import gc
import os
import pyalp.io
import pyalp.sequence
import pyalp.utils
from .base import Stimulus
class Film(Stimulus):
"""Film stimulus
Parameters
----------
bin_pathname: none | string, optional
Path name to the .bin file.
vec_pathname: none | string, optional
Path name ... | 37.265455 | 119 | 0.58509 | 1,241 | 10,248 | 4.638195 | 0.124899 | 0.064628 | 0.075052 | 0.041696 | 0.536484 | 0.437978 | 0.368485 | 0.344858 | 0.317408 | 0.308374 | 0 | 0.016391 | 0.309426 | 10,248 | 274 | 120 | 37.40146 | 0.796948 | 0.20404 | 0 | 0.424837 | 0 | 0 | 0.062815 | 0.006294 | 0 | 0 | 0 | 0.00365 | 0 | 1 | 0.026144 | false | 0.006536 | 0.039216 | 0 | 0.098039 | 0.143791 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5aa5b513bf2a9038fbb780c73e2c734ede5749d9 | 1,328 | py | Python | python/example_code/s3/s3-python-example-download-file.py | AkhmadRiswanda/aws-doc-sdk-examples | 46dbd6e1002f4d5c056df3eb478c318501782a17 | [
"Apache-2.0"
] | null | null | null | python/example_code/s3/s3-python-example-download-file.py | AkhmadRiswanda/aws-doc-sdk-examples | 46dbd6e1002f4d5c056df3eb478c318501782a17 | [
"Apache-2.0"
] | null | null | null | python/example_code/s3/s3-python-example-download-file.py | AkhmadRiswanda/aws-doc-sdk-examples | 46dbd6e1002f4d5c056df3eb478c318501782a17 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010-2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# This file is 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/
#
# This f... | 32.390244 | 88 | 0.718373 | 189 | 1,328 | 5.005291 | 0.57672 | 0.052854 | 0.021142 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029973 | 0.170934 | 1,328 | 40 | 89 | 33.2 | 0.829246 | 0.673946 | 0 | 0 | 0 | 0 | 0.230352 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 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 |
5aab652c059c797506557e8a980477db680cb80f | 6,829 | py | Python | DPythonS89/test.py | Synchronicity89/Lean | 564af47ea980cf0524874643c7190da82236bcfb | [
"Apache-2.0"
] | null | null | null | DPythonS89/test.py | Synchronicity89/Lean | 564af47ea980cf0524874643c7190da82236bcfb | [
"Apache-2.0"
] | 1 | 2020-08-25T03:02:47.000Z | 2020-08-25T03:02:47.000Z | DPythonS89/test.py | Synchronicity89/Lean | 564af47ea980cf0524874643c7190da82236bcfb | [
"Apache-2.0"
] | null | null | null | from clr import AddReference
import pandas
AddReference("System")
AddReference("QuantConnect.Research")
AddReference("QuantConnect.Common")
AddReference("QuantConnect.Logging")
#AddReference("QuantConnect.Data")
from System import *
from QuantConnect import *
from QuantConnect.Logging import *
#from Data import *
#fro... | 36.518717 | 147 | 0.661737 | 812 | 6,829 | 5.488916 | 0.294335 | 0.033655 | 0.023334 | 0.026924 | 0.337222 | 0.317029 | 0.298631 | 0.282477 | 0.248373 | 0.221898 | 0 | 0.059295 | 0.231952 | 6,829 | 187 | 148 | 36.518717 | 0.790467 | 0.220969 | 0 | 0.338983 | 0 | 0 | 0.042045 | 0.003977 | 0 | 0 | 0 | 0 | 0.016949 | 1 | 0.144068 | false | 0 | 0.101695 | 0.025424 | 0.432203 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5aae6a12dc22ce122aa713fc2aeac3ad090fe5d0 | 2,827 | py | Python | map_swcf.py | torimcd/Goldblatt_etal_2020 | 0793b16ef2535db3482c31d84587d80b3578dd3b | [
"BSD-3-Clause"
] | 1 | 2021-12-03T15:11:31.000Z | 2021-12-03T15:11:31.000Z | map_swcf.py | torimcd/Goldblatt_etal_2021 | 0793b16ef2535db3482c31d84587d80b3578dd3b | [
"BSD-3-Clause"
] | null | null | null | map_swcf.py | torimcd/Goldblatt_etal_2021 | 0793b16ef2535db3482c31d84587d80b3578dd3b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
"""
Author: Victoria McDonald
email: vmcd@atmos.washington.edu
website: http://torimcd.github.com
license: BSD
"""
import matplotlib as mpl
mpl.use("Agg")
import os
import sys
import numpy as np
import netCDF4
import operator
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Base... | 28.27 | 129 | 0.700389 | 416 | 2,827 | 4.677885 | 0.473558 | 0.018499 | 0.024666 | 0.011305 | 0.179342 | 0.169579 | 0.144913 | 0.144913 | 0.102775 | 0.102775 | 0 | 0.044981 | 0.15069 | 2,827 | 99 | 130 | 28.555556 | 0.765514 | 0.229926 | 0 | 0.107143 | 0 | 0 | 0.169846 | 0.011633 | 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 |
5ab017c82dd41b9fd3710bcfd371dbf19774599d | 6,706 | py | Python | src/mbic/mbic_full_model.py | davidanastasiu/antibiofilm | f50945d52bcfd97538a31d7627af6b3089fdd2cf | [
"MIT"
] | null | null | null | src/mbic/mbic_full_model.py | davidanastasiu/antibiofilm | f50945d52bcfd97538a31d7627af6b3089fdd2cf | [
"MIT"
] | null | null | null | src/mbic/mbic_full_model.py | davidanastasiu/antibiofilm | f50945d52bcfd97538a31d7627af6b3089fdd2cf | [
"MIT"
] | null | null | null | # AntiBiofilm Peptide Research
# Department of Computer Science and Engineering, Santa Clara University
# Author: Taylor Downey
# A python script that uses the optimized hyperparameters found for both
# the SVM and the SVR to create a prediction model
# Script prints the average RMSE of the full model when run with c... | 35.294737 | 81 | 0.596779 | 861 | 6,706 | 4.325203 | 0.220674 | 0.031955 | 0.032223 | 0.012889 | 0.311762 | 0.256176 | 0.1442 | 0.121643 | 0.091568 | 0.055317 | 0 | 0.008141 | 0.230689 | 6,706 | 189 | 82 | 35.481481 | 0.713704 | 0.233224 | 0 | 0.141667 | 0 | 0 | 0.045588 | 0.026414 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016667 | false | 0 | 0.091667 | 0 | 0.116667 | 0.008333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5abddcac686664ae3a44fc39af000fbbf1daafbd | 874 | py | Python | ax/benchmark2/__init__.py | lyhyl/Ax | 44384a0cb1a622c9e395c95f683cfee25c7b61f6 | [
"MIT"
] | null | null | null | ax/benchmark2/__init__.py | lyhyl/Ax | 44384a0cb1a622c9e395c95f683cfee25c7b61f6 | [
"MIT"
] | null | null | null | ax/benchmark2/__init__.py | lyhyl/Ax | 44384a0cb1a622c9e395c95f683cfee25c7b61f6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from ax.benchmark2.benchmark import (
benchmark_full_run,
benchmark_replication,
benchmark_test,
)
from a... | 28.193548 | 85 | 0.772311 | 83 | 874 | 7.951807 | 0.554217 | 0.036364 | 0.09697 | 0.151515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006766 | 0.154462 | 874 | 30 | 86 | 29.133333 | 0.886333 | 0.21968 | 0 | 0 | 0 | 0 | 0.273264 | 0.15805 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.173913 | 0 | 0.173913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5abe5b6784894f2e606b06d1d7978dc1a255825c | 724 | py | Python | setup.py | nvaytet/metatoenv | 6d0b5f1093f4042d63f8acad435f0953633f6821 | [
"BSD-3-Clause"
] | null | null | null | setup.py | nvaytet/metatoenv | 6d0b5f1093f4042d63f8acad435f0953633f6821 | [
"BSD-3-Clause"
] | null | null | null | setup.py | nvaytet/metatoenv | 6d0b5f1093f4042d63f8acad435f0953633f6821 | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup, Command
from distutils.command.build_py import build_py
with open('README.md') as infile:
long_description = infile.read()
from psrecord import __version__
setup(
name='metatoenv',
version=__version__,
description=
'Generate a conda environment file from a conda met... | 25.857143 | 70 | 0.685083 | 82 | 724 | 5.865854 | 0.621951 | 0.058212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001706 | 0.190608 | 724 | 27 | 71 | 26.814815 | 0.819113 | 0 | 0 | 0 | 0 | 0 | 0.346685 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.130435 | 0 | 0.130435 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5abf1554e4e83fbb167495e7bf4f154fc338e021 | 28,931 | py | Python | git_timestamp/timestamp.py | zeitgitter/git-timestamp | 44d68c13036ba706d1b2d1d25773427b474fa39e | [
"MIT"
] | 16 | 2020-02-16T03:21:22.000Z | 2021-12-17T19:22:56.000Z | git_timestamp/timestamp.py | zeitgitter/git-timestamp | 44d68c13036ba706d1b2d1d25773427b474fa39e | [
"MIT"
] | 1 | 2021-11-02T10:07:18.000Z | 2021-11-02T10:07:18.000Z | git_timestamp/timestamp.py | zeitgitter/git-timestamp | 44d68c13036ba706d1b2d1d25773427b474fa39e | [
"MIT"
] | 2 | 2020-02-16T03:21:26.000Z | 2021-04-05T17:19:05.000Z | #!/usr/bin/python3 -tt
# -*- coding: utf-8 -*-
# (keep hashbang line for `make install`)
#
# git timestamp — Zeitgitter GIT Timestamping client
#
# Copyright (C) 2019-2021 Marcel Waldvogel
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public Lic... | 41.868307 | 103 | 0.587432 | 3,555 | 28,931 | 4.708861 | 0.198312 | 0.01589 | 0.009677 | 0.010753 | 0.201075 | 0.151314 | 0.130645 | 0.090502 | 0.079092 | 0.073238 | 0 | 0.009598 | 0.294148 | 28,931 | 690 | 104 | 41.928986 | 0.809951 | 0.186305 | 0 | 0.209213 | 0 | 0 | 0.283112 | 0.013133 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049904 | false | 0.011516 | 0.03071 | 0.003839 | 0.130518 | 0.009597 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac1bdcd4d5d7d445d4e50d14f8bb0137e1a3a22 | 7,335 | py | Python | src/environments/finite_diff_wave.py | jaberkow/Insight_Project | 5c24e39fa5ab949e5a99231758ac77d21f566905 | [
"MIT"
] | 6 | 2019-07-10T09:33:44.000Z | 2019-08-28T11:28:15.000Z | src/environments/finite_diff_wave.py | jaberkow/WaveRL | 5c24e39fa5ab949e5a99231758ac77d21f566905 | [
"MIT"
] | 4 | 2019-06-18T00:13:25.000Z | 2019-08-05T11:48:03.000Z | src/environments/finite_diff_wave.py | jaberkow/Insight_Project | 5c24e39fa5ab949e5a99231758ac77d21f566905 | [
"MIT"
] | 3 | 2019-08-15T06:43:31.000Z | 2020-09-03T05:05:17.000Z | """
Some elements of the finite difference routines were adapted from HP Langtangen's wonderful book on the FD method for python:
https://hplgit.github.io/fdm-book/doc/pub/book/html/._fdm-book-solarized001.html
"""
import numpy as np
from scipy.integrate import simps
class Wave1D:
"""
A utility class for sim... | 38.809524 | 125 | 0.625767 | 1,071 | 7,335 | 4.189542 | 0.251167 | 0.095832 | 0.039224 | 0.02407 | 0.267662 | 0.242701 | 0.202362 | 0.171607 | 0.171607 | 0.171607 | 0 | 0.020189 | 0.277437 | 7,335 | 188 | 126 | 39.015957 | 0.826415 | 0.46394 | 0 | 0.138889 | 0 | 0 | 0.023222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.027778 | 0 | 0.208333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac23e6adffbb28a348a5b76f4d9393d8fb8087e | 1,977 | py | Python | ejercicios/ahorcado/ahorcado_01.py | carlosviveros/Soluciones | 115f4fa929c7854ca497e4c994352adc64565456 | [
"MIT"
] | 1 | 2022-02-02T04:44:56.000Z | 2022-02-02T04:44:56.000Z | ejercicios/ahorcado/ahorcado_01.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | null | null | null | ejercicios/ahorcado/ahorcado_01.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | null | null | null | """AyudaEnPython: https://www.facebook.com/groups/ayudapython
Contributor: Carolina Morán
Source:
https://github.com/CarolinaMoran03/Juego-de-ahorcado-con-frase/blob/main/Juego%20de%20ahorcado%20con%20frase
"""
participante=input("Ingrese nombre del participante: ")
print(participante.upper())
def run():
frases =... | 29.507463 | 175 | 0.571067 | 239 | 1,977 | 4.682008 | 0.493724 | 0.053619 | 0.016086 | 0.01966 | 0.023235 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016047 | 0.306525 | 1,977 | 67 | 176 | 29.507463 | 0.800146 | 0.103187 | 0 | 0.137255 | 0 | 0 | 0.293718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0 | 0 | 0.039216 | 0.156863 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac34357cfbf72b629548e23a5587b2da7dd9eb3 | 946 | py | Python | core/model/encoder/encoder_base.py | baophuc27/answer-generation | 36ab9f84f8d4df90abd2bd0255a5229afbd65892 | [
"MIT"
] | 3 | 2021-03-25T12:29:49.000Z | 2021-06-14T13:15:49.000Z | core/model/encoder/encoder_base.py | baophuc27/answer-generation | 36ab9f84f8d4df90abd2bd0255a5229afbd65892 | [
"MIT"
] | null | null | null | core/model/encoder/encoder_base.py | baophuc27/answer-generation | 36ab9f84f8d4df90abd2bd0255a5229afbd65892 | [
"MIT"
] | null | null | null | import torch.nn as nn
from abc import ABC,abstractmethod
class EncoderBase(nn.Module):
@abstractmethod
def __init__(self,pretrained_emb,__C):
"""Constructor of encoder module should take pretrained embedding as
an argument because of later comparison of different types of embeddings.
... | 30.516129 | 81 | 0.650106 | 100 | 946 | 5.95 | 0.54 | 0.087395 | 0.060504 | 0.070588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.283298 | 946 | 30 | 82 | 31.533333 | 0.877581 | 0.4926 | 0 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.181818 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac34cb506d949289482e24d712032fea0a5bf81 | 5,912 | py | Python | python/pynamics/frame.py | zmpatel19/Foldable-Robotics | 97590ec7d173cc1936cc8ff0379b16ad63bcda23 | [
"MIT"
] | 2 | 2018-08-20T22:01:18.000Z | 2021-04-19T00:50:56.000Z | python/pynamics/frame.py | zmpatel19/Foldable-Robotics | 97590ec7d173cc1936cc8ff0379b16ad63bcda23 | [
"MIT"
] | 3 | 2017-10-24T03:10:17.000Z | 2017-10-24T03:15:27.000Z | python/pynamics/frame.py | zmpatel19/Foldable-Robotics | 97590ec7d173cc1936cc8ff0379b16ad63bcda23 | [
"MIT"
] | 2 | 2017-03-03T23:04:17.000Z | 2021-03-20T20:33:53.000Z | # -*- coding: utf-8 -*-
"""
Written by Daniel M. Aukes
Email: danaukes<at>gmail.com
Please see LICENSE for full license.
"""
import pynamics
from pynamics.tree_node import TreeNode
from pynamics.vector import Vector
from pynamics.rotation import Rotation, RotationalVelocity
from pynamics.name_generator import NameGen... | 36.493827 | 156 | 0.625169 | 826 | 5,912 | 4.238499 | 0.12954 | 0.053128 | 0.008569 | 0.020566 | 0.402742 | 0.32048 | 0.232791 | 0.226792 | 0.17595 | 0.140817 | 0 | 0.008792 | 0.249662 | 5,912 | 161 | 157 | 36.720497 | 0.780433 | 0.019452 | 0 | 0.067227 | 0 | 0 | 0.012785 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151261 | false | 0 | 0.067227 | 0.07563 | 0.327731 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac3d5779a8d78c93d249f8739858eed7b56674a | 6,828 | py | Python | couchbase_core/mapper.py | couchbase/couchbase-python-client | 99ec055835f5aef0cd07905497b3ab4bb3cbbc32 | [
"Apache-2.0"
] | 189 | 2015-01-07T18:34:31.000Z | 2022-03-21T17:41:56.000Z | couchbase_core/mapper.py | couchbase/couchbase-python-client | 99ec055835f5aef0cd07905497b3ab4bb3cbbc32 | [
"Apache-2.0"
] | 24 | 2015-05-19T14:00:16.000Z | 2022-03-16T22:01:30.000Z | couchbase_core/mapper.py | couchbase/couchbase-python-client | 99ec055835f5aef0cd07905497b3ab4bb3cbbc32 | [
"Apache-2.0"
] | 60 | 2015-03-10T22:12:50.000Z | 2022-03-07T21:57:40.000Z | from typing import *
import enum
import datetime
import warnings
from couchbase.exceptions import InvalidArgumentException
Src = TypeVar('Src')
Dest = TypeVar('Dest')
Functor = TypeVar('Functor', bound=Callable[[Src], Dest])
SrcToDest = TypeVar('SrcToDest', bound=Callable[[Src], Dest])
DestToSrc = TypeVar('DestToSr... | 30.756757 | 113 | 0.605448 | 760 | 6,828 | 5.180263 | 0.185526 | 0.032512 | 0.02794 | 0.01905 | 0.20193 | 0.1651 | 0.139192 | 0.11303 | 0.11303 | 0.080264 | 0 | 0.000208 | 0.295255 | 6,828 | 221 | 114 | 30.895928 | 0.817955 | 0.161248 | 0 | 0.180451 | 0 | 0 | 0.042713 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.165414 | false | 0 | 0.037594 | 0.022556 | 0.383459 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac41b3cce04df264e1419de46ced2afc4ce1d2c | 2,836 | py | Python | thedoorman/run.py | FocusedSupport/thedoorman | 4f53a921e1bd97d9ff193482e790fa5757f54e7d | [
"MIT"
] | null | null | null | thedoorman/run.py | FocusedSupport/thedoorman | 4f53a921e1bd97d9ff193482e790fa5757f54e7d | [
"MIT"
] | 29 | 2017-03-03T16:21:59.000Z | 2019-03-11T19:20:24.000Z | thedoorman/run.py | FocusedSupport/thedoorman | 4f53a921e1bd97d9ff193482e790fa5757f54e7d | [
"MIT"
] | null | null | null | import threading
import sys
import os
import signal
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "components/slack")))
from slackbot.bot import Bot
from pydispatch import dispatcher
from components.dispatcher.signals import Signals, Senders
import components.devices.doorbell_monitor as dm
... | 28.646465 | 93 | 0.744358 | 336 | 2,836 | 6.16369 | 0.244048 | 0.084983 | 0.1014 | 0.111057 | 0.02704 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000419 | 0.159379 | 2,836 | 99 | 94 | 28.646465 | 0.868289 | 0.11213 | 0 | 0 | 0 | 0 | 0.091995 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056338 | false | 0 | 0.253521 | 0 | 0.309859 | 0.140845 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac4b51a79d3af0cebbea2eb96498b7f916e244a | 605 | py | Python | python/utils/random-sample-with-probabilities.py | leakycup/misc | 5cce8cbd7057bf2598c8076ffc257606edb7141e | [
"Apache-2.0"
] | null | null | null | python/utils/random-sample-with-probabilities.py | leakycup/misc | 5cce8cbd7057bf2598c8076ffc257606edb7141e | [
"Apache-2.0"
] | null | null | null | python/utils/random-sample-with-probabilities.py | leakycup/misc | 5cce8cbd7057bf2598c8076ffc257606edb7141e | [
"Apache-2.0"
] | null | null | null | import sys
import codecs
import numpy as np
#UTF8Writer = codecs.getwriter('utf8')
#sys.stdout = UTF8Writer(sys.stdout)
input_file = sys.argv[1]
probabilities_file = sys.argv[2]
sample_size = int(sys.argv[3])
input_list = []
probabilities_list = []
with codecs.open(input_file, 'r', 'utf-8') as f:
for line in f... | 24.2 | 96 | 0.710744 | 94 | 605 | 4.446809 | 0.414894 | 0.050239 | 0.064593 | 0.043062 | 0.105263 | 0.105263 | 0.105263 | 0.105263 | 0.105263 | 0.105263 | 0 | 0.015564 | 0.150413 | 605 | 24 | 97 | 25.208333 | 0.797665 | 0.119008 | 0 | 0.125 | 0 | 0 | 0.022599 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 0.1875 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac695ccecbc9a0acac17b74afec8f55e9ba28d1 | 1,286 | py | Python | ivy/functional/backends/mxnet/old/linear_algebra.py | Neel-Renavikar/ivy | 644ab189a3a3fc52b1f3f86563226106e549eea3 | [
"Apache-2.0"
] | null | null | null | ivy/functional/backends/mxnet/old/linear_algebra.py | Neel-Renavikar/ivy | 644ab189a3a3fc52b1f3f86563226106e549eea3 | [
"Apache-2.0"
] | null | null | null | ivy/functional/backends/mxnet/old/linear_algebra.py | Neel-Renavikar/ivy | 644ab189a3a3fc52b1f3f86563226106e549eea3 | [
"Apache-2.0"
] | null | null | null | """
Collection of MXNet linear algebra functions, wrapped to fit Ivy syntax and signature.
"""
# global
import mxnet as _mx
import numpy as _np
# local
import ivy as _ivy
from typing import Union, Tuple
def matrix_norm(x, p=2, axes=None, keepdims=False):
axes = (-2, -1) if axes is None else axes
if isinst... | 27.361702 | 86 | 0.620529 | 216 | 1,286 | 3.564815 | 0.384259 | 0.036364 | 0.020779 | 0.019481 | 0.04026 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043216 | 0.226283 | 1,286 | 46 | 87 | 27.956522 | 0.730653 | 0.120529 | 0 | 0 | 0 | 0 | 0.06983 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.166667 | 0.041667 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ac93a900f8dd76c156f7ea7f46e47f6ba5ffc11 | 759 | py | Python | 01-introduction to python for data science/04-numpy/baseball-players-bmi.py | thelc127/Data-Scientist-Career-Track-Datacamp | 56d0ec0ece7fa9127e72b0da598c89f15f31b6b3 | [
"MIT"
] | 2 | 2021-05-21T04:59:19.000Z | 2021-05-21T08:32:41.000Z | 01-introduction to python for data science/04-numpy/baseball-players-bmi.py | thelc127/Data-Scientist-Career-Track-Datacamp | 56d0ec0ece7fa9127e72b0da598c89f15f31b6b3 | [
"MIT"
] | null | null | null | 01-introduction to python for data science/04-numpy/baseball-players-bmi.py | thelc127/Data-Scientist-Career-Track-Datacamp | 56d0ec0ece7fa9127e72b0da598c89f15f31b6b3 | [
"MIT"
] | null | null | null | # Create a numpy array from the weight_lb list with the correct units. Multiply by 0.453592 to go from pounds to kilograms.
# Store the resulting numpy array as np_weight_kg.
# Use np_height_m and np_weight_kg to calculate the BMI of each player.
# Use the following equation:
# BMI = weight(kg) / height (m3)
# save the... | 31.625 | 123 | 0.764163 | 137 | 759 | 4.065693 | 0.357664 | 0.086176 | 0.089767 | 0.064632 | 0.086176 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033493 | 0.173913 | 759 | 23 | 124 | 33 | 0.854864 | 0.750988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5acb9e1e62ddcd1f2667eff52694832dd21f1914 | 411 | py | Python | editor/templatetags/stamp.py | andersshenholm/editor | 052844de68101c5cdc6d9343e3e095ba816cd34c | [
"Apache-2.0"
] | 51 | 2015-04-19T23:27:04.000Z | 2022-03-25T01:43:43.000Z | editor/templatetags/stamp.py | andersshenholm/editor | 052844de68101c5cdc6d9343e3e095ba816cd34c | [
"Apache-2.0"
] | 428 | 2015-01-05T10:56:32.000Z | 2022-03-29T14:33:23.000Z | editor/templatetags/stamp.py | andersshenholm/editor | 052844de68101c5cdc6d9343e3e095ba816cd34c | [
"Apache-2.0"
] | 71 | 2015-01-28T20:06:15.000Z | 2022-03-25T02:35:40.000Z | from django.template import Library
from editor.models import STAMP_STATUS_CHOICES
register = Library()
@register.inclusion_tag('stamp.html')
def stamp(status):
label = ''
if status=='draft':
return {'status': 'draft', 'label': 'Draft'}
for s_status, s_label in STAMP_STATUS_CHOICES:
if sta... | 27.4 | 52 | 0.664234 | 52 | 411 | 5.076923 | 0.423077 | 0.125 | 0.136364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.211679 | 411 | 14 | 53 | 29.357143 | 0.814815 | 0 | 0 | 0 | 0 | 0 | 0.114355 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5acc8629a6ec5a5ef8fb0a2628a406996eb759d6 | 864 | py | Python | ubxlib/ubx_cfg_nmea.py | monocilindro/ubxlib | 378e86b7766f670b9a8966ee038275a2155bac54 | [
"MIT"
] | 3 | 2020-05-03T17:12:21.000Z | 2021-01-16T13:45:07.000Z | ubxlib/ubx_cfg_nmea.py | monocilindro/ubxlib | 378e86b7766f670b9a8966ee038275a2155bac54 | [
"MIT"
] | 35 | 2020-08-29T09:35:15.000Z | 2022-03-18T19:42:34.000Z | ubxlib/ubx_cfg_nmea.py | monocilindro/ubxlib | 378e86b7766f670b9a8966ee038275a2155bac54 | [
"MIT"
] | 4 | 2020-04-24T03:29:07.000Z | 2021-01-13T15:52:53.000Z | from .cid import UbxCID
from .frame import UbxFrame
from .types import CH, U1, X1, X4, Padding
class UbxCfgNmea_(UbxFrame):
CID = UbxCID(UbxCID.CLASS_CFG, 0x17)
NAME = 'UBX-CFG-NMEA'
class UbxCfgNmeaPoll(UbxCfgNmea_):
NAME = UbxCfgNmea_.NAME + '-POLL'
def __init__(self):
super().__init__()
... | 24 | 42 | 0.603009 | 112 | 864 | 4.446429 | 0.383929 | 0.110442 | 0.176707 | 0.120482 | 0.080321 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02719 | 0.233796 | 864 | 35 | 43 | 24.685714 | 0.725076 | 0 | 0 | 0.153846 | 0 | 0 | 0.12963 | 0 | 0 | 0 | 0.00463 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.115385 | 0.038462 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ace70d75fc497eeb5ae372bf715cbea09eaaf13 | 390 | py | Python | Lesson_2/up.py | idel28102001/lessons | f88f5034d8c275175dacf66ba5d0342622c1aa50 | [
"Apache-2.0"
] | null | null | null | Lesson_2/up.py | idel28102001/lessons | f88f5034d8c275175dacf66ba5d0342622c1aa50 | [
"Apache-2.0"
] | null | null | null | Lesson_2/up.py | idel28102001/lessons | f88f5034d8c275175dacf66ba5d0342622c1aa50 | [
"Apache-2.0"
] | null | null | null | print('Загадайте число')
num = 'да'
l = 4
while num == 'да':
l -= 1
num = input(f'Количество цифр вашего числа меньше {l}? : ') ## да или нет
num_2 = 'да'
dig = ''
while l > 0:
number = 10
while num_2 == 'да':
number -= 1
num_2 = input(f'Ваша {l}-e цифра меньше {number}? :') # да или н... | 21.666667 | 78 | 0.525641 | 63 | 390 | 3.190476 | 0.428571 | 0.079602 | 0.089552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04059 | 0.305128 | 390 | 17 | 79 | 22.941176 | 0.701107 | 0.053846 | 0 | 0.235294 | 0 | 0 | 0.282192 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5acfa73951bf5dd915adc32a7981cab8b5aacd86 | 4,247 | py | Python | twrap/metrics.py | itsnarsi/twrap | cc3128428e37fe0a363e5b18fd7fa0039a963365 | [
"MIT"
] | null | null | null | twrap/metrics.py | itsnarsi/twrap | cc3128428e37fe0a363e5b18fd7fa0039a963365 | [
"MIT"
] | null | null | null | twrap/metrics.py | itsnarsi/twrap | cc3128428e37fe0a363e5b18fd7fa0039a963365 | [
"MIT"
] | null | null | null | # @Author: Narsi Reddy <cibitaw1>
# @Date: 2018-09-22T17:38:05-05:00
# @Email: sainarsireddy@outlook.com
# @Last modified by: narsi
# @Last modified time: 2019-02-13T22:46:56-06:00
import torch
torch.manual_seed(29)
from torch import nn
import numpy as np
np.random.seed(29)
import torch.nn.functional as F
from tor... | 31.932331 | 104 | 0.645632 | 620 | 4,247 | 4.256452 | 0.254839 | 0.079576 | 0.025009 | 0.043577 | 0.305419 | 0.228875 | 0.228875 | 0.228875 | 0.147025 | 0.068966 | 0 | 0.053835 | 0.217094 | 4,247 | 132 | 105 | 32.174242 | 0.73985 | 0.07935 | 0 | 0.170455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.079545 | 0.011364 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5acfefc74de42e7336d5b91fd88fe5402716e7ad | 4,428 | py | Python | configs/resnet/contrast_r18_config.py | alecpeltekian/ImgClassification | cf4eca33027ca423623ff965fac354dcfce396d3 | [
"Apache-2.0"
] | null | null | null | configs/resnet/contrast_r18_config.py | alecpeltekian/ImgClassification | cf4eca33027ca423623ff965fac354dcfce396d3 | [
"Apache-2.0"
] | null | null | null | configs/resnet/contrast_r18_config.py | alecpeltekian/ImgClassification | cf4eca33027ca423623ff965fac354dcfce396d3 | [
"Apache-2.0"
] | null | null | null | # ### ===============================================================
# ### ===============================================================
# ### Modify the dataset loading settings
# dataset settings
dataset_type = 'ContrastDataset'
data_root = '/mnt/cadlabnas/datasets/'
img_norm_cfg = dict(
mean=[123.675, 116.28... | 30.965035 | 137 | 0.539747 | 470 | 4,428 | 4.929787 | 0.468085 | 0.079413 | 0.012948 | 0.018127 | 0.197669 | 0.182132 | 0.11653 | 0.099266 | 0.099266 | 0.054381 | 0 | 0.02608 | 0.168699 | 4,428 | 142 | 138 | 31.183099 | 0.603369 | 0.393631 | 0 | 0.148148 | 0 | 0 | 0.179862 | 0.036126 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ad4e2861aebece133d34e92b30760d0b61fc3a9 | 662 | py | Python | roots/FinalModifiedBisection.py | Seek/LaTechNumeric | dabef2040e84bf25cabab07fe20a6434ce52197b | [
"MIT"
] | null | null | null | roots/FinalModifiedBisection.py | Seek/LaTechNumeric | dabef2040e84bf25cabab07fe20a6434ce52197b | [
"MIT"
] | null | null | null | roots/FinalModifiedBisection.py | Seek/LaTechNumeric | dabef2040e84bf25cabab07fe20a6434ce52197b | [
"MIT"
] | null | null | null | import sys
EPS = sys.float_info.epsilon
#Define the function
def f(x):
return (x+1)**2 - 1
def bisect(f, x1, x2, eps, maxn):
assert f(x1)*f(x2) < 0, \
"We cannot find a root if the function does not change signs"
xl = x1
xu = x2
xr = 0
fl = f(xl)
err = 1000
for i in range(maxn):
r = (xl + xu)/2
print(r... | 16.146341 | 62 | 0.539275 | 131 | 662 | 2.717557 | 0.435115 | 0.061798 | 0.022472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08137 | 0.294562 | 662 | 40 | 63 | 16.55 | 0.680942 | 0.028701 | 0 | 0 | 0 | 0 | 0.162246 | 0 | 0 | 0 | 0 | 0 | 0.029412 | 1 | 0.058824 | false | 0 | 0.029412 | 0.029412 | 0.147059 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ad61d1f671afea82e39013fc63a8845b6a3671b | 3,606 | py | Python | monique_worker_py/worker.py | biocad/monique-worker-py | 56b0ab2e218b80e3a83d7987cd8dd8993a3d66a7 | [
"BSD-3-Clause"
] | null | null | null | monique_worker_py/worker.py | biocad/monique-worker-py | 56b0ab2e218b80e3a83d7987cd8dd8993a3d66a7 | [
"BSD-3-Clause"
] | null | null | null | monique_worker_py/worker.py | biocad/monique-worker-py | 56b0ab2e218b80e3a83d7987cd8dd8993a3d66a7 | [
"BSD-3-Clause"
] | null | null | null | import zmq
import logging
import argparse
from monique_worker_py.config import read_worker_config
from monique_worker_py.qmessage import qmessage_from_json, create_qmessage
class Worker:
def __init__(self, worker_name, algo):
self.worker_name = worker_name
self.algo = algo
parser = argpar... | 37.5625 | 118 | 0.598724 | 388 | 3,606 | 5.399485 | 0.304124 | 0.052506 | 0.038186 | 0.018138 | 0.157518 | 0.102148 | 0.033413 | 0 | 0 | 0 | 0 | 0.001185 | 0.297837 | 3,606 | 95 | 119 | 37.957895 | 0.826224 | 0.13117 | 0 | 0 | 0 | 0 | 0.139826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.087719 | 0 | 0.175439 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ad6cbcddff8d2b547541b05fb14cdfa5518b9b3 | 1,081 | py | Python | helpers/sendSMS.py | cheikhmbackeseck37/insuris | 3362ca445d489e23d57a76bbd6d263f3a5f0b519 | [
"MIT"
] | 12 | 2019-08-02T07:58:16.000Z | 2022-01-31T23:45:08.000Z | helpers/sendSMS.py | domambia/csdigital-gs1kenya-internal-erp | 6736d0e9a3a51653689f8ae921cf811f378d9d8e | [
"MIT"
] | 8 | 2019-08-02T08:06:18.000Z | 2022-03-11T23:45:17.000Z | helpers/sendSMS.py | cheikhmbackeseck37/insuris | 3362ca445d489e23d57a76bbd6d263f3a5f0b519 | [
"MIT"
] | 11 | 2019-07-31T16:23:36.000Z | 2022-01-29T08:30:07.000Z | # works with both python 2 and 3
from __future__ import print_function
from datetime import datetime
import africastalking
class SMS:
def __init__(self):
self.username = "gs1kenya"
self.api_key = "0902d36a02514da9fa33a11586683f8d76e5207ea544363e7d41149e6c9a6718"
africastalking.initialize(se... | 38.607143 | 89 | 0.518964 | 97 | 1,081 | 5.670103 | 0.659794 | 0.050909 | 0.036364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081818 | 0.389454 | 1,081 | 27 | 90 | 40.037037 | 0.751515 | 0.027752 | 0 | 0 | 0 | 0 | 0.509056 | 0.083889 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.12 | 0 | 0.24 | 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 |
5adaa94654c12d575666ad0a6b6cf47ac7a0cb0e | 1,120 | py | Python | examples/cartpole_example/test/cartpole_plot_model_NN_cloop.py | marcosfelt/sysid-neural-structures-fitting | 80eda427251e8cce1d2a565b5cbca533252315e4 | [
"MIT"
] | 17 | 2019-11-15T06:27:05.000Z | 2021-10-02T14:24:25.000Z | examples/cartpole_example/test/cartpole_plot_model_NN_cloop.py | marcosfelt/sysid-neural-structures-fitting | 80eda427251e8cce1d2a565b5cbca533252315e4 | [
"MIT"
] | null | null | null | examples/cartpole_example/test/cartpole_plot_model_NN_cloop.py | marcosfelt/sysid-neural-structures-fitting | 80eda427251e8cce1d2a565b5cbca533252315e4 | [
"MIT"
] | 4 | 2020-09-03T17:01:34.000Z | 2021-11-05T04:09:24.000Z | import os
import pandas as pd
import matplotlib.pyplot as plt
from examples.cartpole_example.cartpole_dynamics import RAD_TO_DEG, DEG_TO_RAD
if __name__ == '__main__':
#df_model = pd.read_csv(os.path.join("data", "pendulum_data_PID.csv"))
#df_nn = pd.read_csv(os.path.join("data", "pendulum_data_PID_NN_model.c... | 35 | 91 | 0.655357 | 200 | 1,120 | 3.39 | 0.315 | 0.047198 | 0.053097 | 0.064897 | 0.421829 | 0.421829 | 0.262537 | 0.262537 | 0.262537 | 0.262537 | 0 | 0.019792 | 0.142857 | 1,120 | 31 | 92 | 36.129032 | 0.686458 | 0.128571 | 0 | 0 | 0 | 0 | 0.175565 | 0.068789 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.210526 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ae33bc829b96d32b0f8a98265306f77e0baf4b1 | 3,327 | py | Python | tests/test_views.py | localmed/django-assetfiles | 34089780126989f49e6b890b85a90047704fde37 | [
"MIT"
] | null | null | null | tests/test_views.py | localmed/django-assetfiles | 34089780126989f49e6b890b85a90047704fde37 | [
"MIT"
] | 2 | 2017-02-11T20:10:46.000Z | 2017-02-11T20:10:56.000Z | tests/test_views.py | localmed/django-assetfiles | 34089780126989f49e6b890b85a90047704fde37 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django_nose.tools import *
from tests.base import AssetfilesTestCase
class TestServe(AssetfilesTestCase):
def test_returns_not_found_without_an_asset(self):
response = self.client.get('/static/non/existent/file.css')
assert_eq... | 44.36 | 79 | 0.643823 | 439 | 3,327 | 4.681093 | 0.177677 | 0.113869 | 0.105109 | 0.122628 | 0.73528 | 0.636983 | 0.525547 | 0.421411 | 0.36691 | 0.273966 | 0 | 0.004473 | 0.193568 | 3,327 | 74 | 80 | 44.959459 | 0.761461 | 0.006312 | 0 | 0.241379 | 0 | 0 | 0.351695 | 0.175242 | 0 | 0 | 0 | 0 | 0.206897 | 1 | 0.189655 | false | 0 | 0.086207 | 0 | 0.293103 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ae4b5cc0aeea03900ca797b02f8cd9bb0c7e4f9 | 8,083 | py | Python | CHT/cht_data.py | aryam7/WASP | 39f3ac2e8ad3b97124b52cc17e97902e3ec1fbc9 | [
"Apache-2.0"
] | 72 | 2015-03-01T20:59:06.000Z | 2022-03-28T08:48:39.000Z | CHT/cht_data.py | bmvdgeijn/WASP | d3b8447fd7719fffa00b856fd1f27c845554693e | [
"Apache-2.0"
] | 93 | 2015-01-14T23:49:12.000Z | 2022-03-26T16:31:52.000Z | CHT/cht_data.py | aryam7/WASP | 39f3ac2e8ad3b97124b52cc17e97902e3ec1fbc9 | [
"Apache-2.0"
] | 51 | 2015-02-19T23:49:17.000Z | 2021-12-16T01:40:37.000Z | import sys
import gzip
import os
import numpy as np
import util
class TestSNP:
def __init__(self, name, geno_hap1, geno_hap2, AS_target_ref, AS_target_alt,
hetps, totals, counts):
self.name = name
self.geno_hap1 = geno_hap1
self.geno_hap2 = geno_hap2
self.AS_targe... | 35.143478 | 107 | 0.584189 | 1,085 | 8,083 | 4.17235 | 0.204608 | 0.016567 | 0.027833 | 0.014358 | 0.22907 | 0.177159 | 0.121935 | 0.121935 | 0.096311 | 0.0592 | 0 | 0.014765 | 0.321292 | 8,083 | 229 | 108 | 35.296943 | 0.810427 | 0.153285 | 0 | 0.0625 | 0 | 0 | 0.097762 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048611 | false | 0 | 0.034722 | 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 |
5ae519116b2d3198ee0c6685afe6a91a67c62aa2 | 1,023 | py | Python | restaurant/admin.backup.py | syahnur197/restaurant-backend | a0f320b69f3fed293555634f6ac094eaa0574c45 | [
"MIT"
] | null | null | null | restaurant/admin.backup.py | syahnur197/restaurant-backend | a0f320b69f3fed293555634f6ac094eaa0574c45 | [
"MIT"
] | null | null | null | restaurant/admin.backup.py | syahnur197/restaurant-backend | a0f320b69f3fed293555634f6ac094eaa0574c45 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.contenttypes.admin import GenericStackedInline
from .models import Image, Product
"""
To register generics
"""
class ImageInline(GenericStackedInline):
model = Image
@admin.register(Image)
class ImageAdmin(admin.ModelAdmin):
list_display = (
'id... | 19.673077 | 66 | 0.57087 | 86 | 1,023 | 6.627907 | 0.476744 | 0.105263 | 0.059649 | 0.091228 | 0.150877 | 0.150877 | 0.150877 | 0 | 0 | 0 | 0 | 0 | 0.304008 | 1,023 | 51 | 67 | 20.058824 | 0.800562 | 0 | 0 | 0.380952 | 0 | 0 | 0.228141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.309524 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ae5219951f2f425f340756b442acd6b639dbefb | 1,025 | py | Python | test/twistedutils/test_deferred_deque.py | Wizmann/STUP-Protocol | e06a3442082e5061d2be32be3ffd681675e7ffb5 | [
"MIT"
] | 14 | 2017-05-06T10:14:32.000Z | 2018-07-17T02:58:00.000Z | test/twistedutils/test_deferred_deque.py | Wizmann/STUP-Protocol | e06a3442082e5061d2be32be3ffd681675e7ffb5 | [
"MIT"
] | 2 | 2017-06-13T05:40:18.000Z | 2017-06-13T16:23:01.000Z | test/twistedutils/test_deferred_deque.py | Wizmann/STUP-Protocol | e06a3442082e5061d2be32be3ffd681675e7ffb5 | [
"MIT"
] | 4 | 2017-06-09T20:20:54.000Z | 2018-07-17T02:58:10.000Z | #coding=utf-8
from __future__ import absolute_import
import pytest
import twisted
from twisted.trial import unittest
from twisted.internet.defer import Deferred
from twisted.python import log
from stup.twistedutils.deferred_deque import *
class DeferredDequeueTest(unittest.TestCase):
def __init__(self, *args, **... | 27.702703 | 67 | 0.656585 | 130 | 1,025 | 5.015385 | 0.353846 | 0.122699 | 0.116564 | 0.153374 | 0.358896 | 0.358896 | 0.317485 | 0.317485 | 0.317485 | 0.317485 | 0 | 0.001212 | 0.195122 | 1,025 | 36 | 68 | 28.472222 | 0.789091 | 0.011707 | 0 | 0.166667 | 0 | 0 | 0.012871 | 0 | 0 | 0 | 0 | 0 | 0.208333 | 1 | 0.083333 | false | 0 | 0.291667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ae7e92c23080d64d3b2328bffafe05bd7e29760 | 1,845 | py | Python | quickspy/net/netengine.py | kirte2849/Quickspy | 767d0fb8ded283aa0d8122d77e15dc411f553994 | [
"MIT"
] | 1 | 2020-07-11T13:41:40.000Z | 2020-07-11T13:41:40.000Z | quickspy/net/netengine.py | kirte2849/Quickspy | 767d0fb8ded283aa0d8122d77e15dc411f553994 | [
"MIT"
] | null | null | null | quickspy/net/netengine.py | kirte2849/Quickspy | 767d0fb8ded283aa0d8122d77e15dc411f553994 | [
"MIT"
] | null | null | null | from lxml import etree
import socket
import re
import aiohttp
from quickspy.color import *
class Response:
def __init__(self, byte, encoding='utf-8'):
global ENCODING
ENCODING = encoding
self.url = None
self.html = None
self.byte = byte
self.HTML = None
s... | 24.932432 | 77 | 0.58374 | 229 | 1,845 | 4.60262 | 0.318777 | 0.060721 | 0.041746 | 0.048387 | 0.166983 | 0.129032 | 0.129032 | 0.072106 | 0.072106 | 0.072106 | 0 | 0.00625 | 0.306233 | 1,845 | 74 | 78 | 24.932432 | 0.817188 | 0.009214 | 0 | 0.037037 | 0 | 0 | 0.065098 | 0.019147 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.092593 | 0.055556 | 0.444444 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5ae91679bd447b62dfc5e7a20c1d3f70d03392e4 | 1,577 | py | Python | yamlapi/demo/tool/read_write_json.py | Ironkubi/yamlapi | efd80cf15a182b0dde03e923f6b3d86c43e5a355 | [
"MIT"
] | 19 | 2020-05-29T09:28:42.000Z | 2022-02-21T06:09:42.000Z | yamlapi/demo/tool/read_write_json.py | Ironkubi/yamlapi | efd80cf15a182b0dde03e923f6b3d86c43e5a355 | [
"MIT"
] | 1 | 2020-03-05T05:45:19.000Z | 2020-07-12T03:08:40.000Z | yamlapi/demo/tool/read_write_json.py | Ironkubi/yamlapi | efd80cf15a182b0dde03e923f6b3d86c43e5a355 | [
"MIT"
] | 7 | 2020-10-21T02:24:44.000Z | 2022-02-21T06:09:22.000Z | import demjson
from setting.project_config import *
def read_json(json_absolute_path):
"""
读取json文件
:param json_absolute_path: 参数为需要读取的json文件的绝对路径
:return:
"""
with open(json_absolute_path, "r", encoding="utf-8") as f:
data_list = demjson.decode(f.read(), encoding="utf-8")
return... | 23.537313 | 77 | 0.590996 | 182 | 1,577 | 4.901099 | 0.395604 | 0.044843 | 0.053812 | 0.040359 | 0.069507 | 0.069507 | 0.069507 | 0 | 0 | 0 | 0 | 0.003666 | 0.30818 | 1,577 | 66 | 78 | 23.893939 | 0.813932 | 0.223843 | 0 | 0 | 0 | 0 | 0.020105 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.071429 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5aed22439a90e2493b4099bcd8a18e6edf2db414 | 2,254 | py | Python | python/LPG/CRUD.py | andreluizdsantos/Curso_ADS | bdff1f96cfc22f91423bc14f383f3e69b93deb6f | [
"MIT"
] | 1 | 2020-08-31T16:53:18.000Z | 2020-08-31T16:53:18.000Z | python/LPG/CRUD.py | andreluizdsantos/Curso_ADS | bdff1f96cfc22f91423bc14f383f3e69b93deb6f | [
"MIT"
] | null | null | null | python/LPG/CRUD.py | andreluizdsantos/Curso_ADS | bdff1f96cfc22f91423bc14f383f3e69b93deb6f | [
"MIT"
] | null | null | null | import sqlite3 #importa a bibliotéca sqlite3
desc = ["Código", "Nome", "Telefone"]
lista = [None, None]
menu = [' 1 - Cadastrar:', ' 2 - Consultar:', ' 3 - Excluir/Criar Tabela:', ' 9 - Sair e Salvar']
conector = sqlite3.connect('teste.db') #conecta o banco de dados
cursor = conector.cursor() #inicia o cursor
while T... | 49 | 170 | 0.632209 | 327 | 2,254 | 4.357798 | 0.382263 | 0.044211 | 0.044912 | 0.042105 | 0.192281 | 0.137544 | 0.137544 | 0.137544 | 0.113684 | 0.113684 | 0 | 0.023865 | 0.237799 | 2,254 | 45 | 171 | 50.088889 | 0.805588 | 0.291482 | 0 | 0.119048 | 0 | 0.095238 | 0.424147 | 0.034134 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.02381 | 0 | 0.02381 | 0.309524 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5afabc1c92de296fe846af7a2b027458e2772a60 | 3,355 | py | Python | test/query_test.py | mochen1228/PyQuakes | 8e57c72d45e33812e9af5bd01fbce6c96bcd936d | [
"MIT"
] | 2 | 2021-06-07T21:23:30.000Z | 2021-06-08T17:07:52.000Z | test/query_test.py | mochen1228/PyQuakes | 8e57c72d45e33812e9af5bd01fbce6c96bcd936d | [
"MIT"
] | null | null | null | test/query_test.py | mochen1228/PyQuakes | 8e57c72d45e33812e9af5bd01fbce6c96bcd936d | [
"MIT"
] | 1 | 2021-06-07T21:30:09.000Z | 2021-06-07T21:30:09.000Z | import os
import sys
import unittest
from datetime import datetime
import requests
sys.path.append(os.path.abspath('..'))
from src.earthquake_query import EarthquakeQuery
from src.timeframe import TimeFrame
from src.location import Rectangle, Circle, RadiusUnit, GeoRectangle
from src.enum.contributor import Contribut... | 40.914634 | 112 | 0.692697 | 402 | 3,355 | 5.604478 | 0.276119 | 0.066578 | 0.035508 | 0.040834 | 0.068797 | 0.01953 | 0 | 0 | 0 | 0 | 0 | 0.021805 | 0.207154 | 3,355 | 81 | 113 | 41.419753 | 0.825188 | 0.129955 | 0 | 0 | 0 | 0.017544 | 0.050224 | 0 | 0 | 0 | 0 | 0 | 0.192982 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.280702 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5afce0b13a04c2e681d1b3f1a01d8ccfeafdc806 | 2,256 | py | Python | 2021/day_10.py | tony-sappe/aoc-2021 | 526bec249467c5a28bbf68516c1918b8be9c8045 | [
"MIT"
] | 1 | 2022-02-19T10:13:54.000Z | 2022-02-19T10:13:54.000Z | 2021/day_10.py | tony-sappe/aoc-2021 | 526bec249467c5a28bbf68516c1918b8be9c8045 | [
"MIT"
] | null | null | null | 2021/day_10.py | tony-sappe/aoc-2021 | 526bec249467c5a28bbf68516c1918b8be9c8045 | [
"MIT"
] | null | null | null | from pathlib import Path
from typing import Iterable, List, Tuple
Sample_Input = """[({(<(())[]>[[{[]{<()<>>
[(()[<>])]({[<{<<[]>>(
{([(<{}[<>[]}>{[]{[(<()>
(((({<>}<{<{<>}{[]{[]{}
[[<[([]))<([[{}[[()]]]
[{[{({}]{}}([{[{{{}}([]
{<[[]]>}<{[{[{[]{()[[[]
[<(<(<(<{}))><([]([]()
<{([([[(<>()){}]>(<<{{
<{([{{}}[<[[[<>{}]]]>... | 26.541176 | 96 | 0.47828 | 231 | 2,256 | 4.497836 | 0.311688 | 0.023099 | 0.046198 | 0.036574 | 0.032724 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015504 | 0.256649 | 2,256 | 84 | 97 | 26.857143 | 0.604055 | 0 | 0 | 0.106061 | 0 | 0 | 0.192819 | 0.12766 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0 | 0.030303 | 0.015152 | 0.227273 | 0.030303 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8502fa85f9bc5db59d062f1bedd1d8a262689de3 | 8,733 | py | Python | examples/6tisch/simple-node/simulations/simulation.py | lucasschnugger/contiki-ng | d61a7c60790382168f3ef4823e80a32e1c307f29 | [
"BSD-3-Clause"
] | null | null | null | examples/6tisch/simple-node/simulations/simulation.py | lucasschnugger/contiki-ng | d61a7c60790382168f3ef4823e80a32e1c307f29 | [
"BSD-3-Clause"
] | null | null | null | examples/6tisch/simple-node/simulations/simulation.py | lucasschnugger/contiki-ng | d61a7c60790382168f3ef4823e80a32e1c307f29 | [
"BSD-3-Clause"
] | null | null | null | import os, time, shutil, random, re
from xml.etree import cElementTree as ET
def run_test(cooja, dir, test, seed):
# run test simulation with seed
command = f"java -jar {cooja} -nogui={dir}{test} -random-seed={seed}"
os.system(command)
def remove_command_in_test(dir, test):
file = f"{dir}{test}"
... | 42.6 | 169 | 0.642276 | 1,170 | 8,733 | 4.640171 | 0.17094 | 0.029656 | 0.016578 | 0.035366 | 0.441886 | 0.354025 | 0.302081 | 0.212931 | 0.180328 | 0.172223 | 0 | 0.018689 | 0.215733 | 8,733 | 204 | 170 | 42.808824 | 0.773982 | 0.142792 | 0 | 0.29697 | 0 | 0.042424 | 0.248187 | 0.119124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054545 | false | 0 | 0.012121 | 0 | 0.090909 | 0.048485 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8506b84f31a4d3a7cbcf45361a19e0b5e9647f9e | 5,217 | py | Python | web2py-appliances-master/TinyWebsite/controllers/pages.py | wantsomechocolate/WantsomeBeanstalk | 8c8a0a80490d04ea52661a3114fd3db8de65a01e | [
"BSD-3-Clause"
] | null | null | null | web2py-appliances-master/TinyWebsite/controllers/pages.py | wantsomechocolate/WantsomeBeanstalk | 8c8a0a80490d04ea52661a3114fd3db8de65a01e | [
"BSD-3-Clause"
] | null | null | null | web2py-appliances-master/TinyWebsite/controllers/pages.py | wantsomechocolate/WantsomeBeanstalk | 8c8a0a80490d04ea52661a3114fd3db8de65a01e | [
"BSD-3-Clause"
] | null | null | null | #from gluon.debug import dbg
def show_page():
"""
Show the requested page
"""
from gluon.tools import prettydate
manager_toolbar = ManagerToolbar('page')
if request.args(0) and request.args(0).isdigit():
page = db.page(request.args(0))
else:
page = db(db.page.url==reque... | 44.589744 | 115 | 0.593253 | 627 | 5,217 | 4.736842 | 0.239234 | 0.072727 | 0.040404 | 0.056566 | 0.382492 | 0.269697 | 0.10101 | 0.10101 | 0.082492 | 0.07138 | 0 | 0.004087 | 0.296531 | 5,217 | 116 | 116 | 44.974138 | 0.805177 | 0.062105 | 0 | 0.191919 | 0 | 0 | 0.116327 | 0.009265 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.010101 | 0 | 0.070707 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
850800f055d743a3abfb7230c39b201f6bb9fe52 | 4,307 | py | Python | tests/unit/test_units.py | timothygebhard/hsr4hci | 0b38c26fac2fee9e564a9ab981fca715d5577e1e | [
"BSD-3-Clause"
] | 1 | 2022-03-24T04:33:06.000Z | 2022-03-24T04:33:06.000Z | tests/unit/test_units.py | timothygebhard/hsr4hci | 0b38c26fac2fee9e564a9ab981fca715d5577e1e | [
"BSD-3-Clause"
] | null | null | null | tests/unit/test_units.py | timothygebhard/hsr4hci | 0b38c26fac2fee9e564a9ab981fca715d5577e1e | [
"BSD-3-Clause"
] | null | null | null | """
Tests for units.py
"""
# -----------------------------------------------------------------------------
# IMPORTS
# -----------------------------------------------------------------------------
from astropy.units import Quantity, UnitsError, UnitConversionError
import numpy as np
import pytest
from hsr4hci.units... | 34.18254 | 79 | 0.618296 | 495 | 4,307 | 5.183838 | 0.19798 | 0.062354 | 0.068589 | 0.057288 | 0.533905 | 0.494544 | 0.464147 | 0.397506 | 0.367498 | 0.367498 | 0 | 0.066512 | 0.200604 | 4,307 | 125 | 80 | 34.456 | 0.678769 | 0.221036 | 0 | 0.453333 | 0 | 0 | 0.107664 | 0 | 0 | 0 | 0 | 0 | 0.253333 | 1 | 0.04 | false | 0 | 0.053333 | 0 | 0.093333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
850ce0650d166e24edaa3081144f34f40dfdab65 | 45,045 | py | Python | pynmrstar/entry.py | uwbmrb/PyNMRSTAR | c6e3cdccb4aa44dfbc3b4e984837a6bcde3cf171 | [
"MIT"
] | 16 | 2017-02-02T05:00:50.000Z | 2021-05-25T11:13:15.000Z | pynmrstar/entry.py | uwbmrb/PyNMRSTAR | c6e3cdccb4aa44dfbc3b4e984837a6bcde3cf171 | [
"MIT"
] | 29 | 2016-07-14T21:02:18.000Z | 2021-06-26T17:24:07.000Z | pynmrstar/entry.py | bmrb-io/PyNMRSTAR | 55df5bf7de192e7a6c95f37e0756f09e3f504170 | [
"MIT"
] | 4 | 2016-04-14T16:29:49.000Z | 2017-02-28T02:01:57.000Z | import hashlib
import json
import logging
import warnings
from io import StringIO
from typing import TextIO, BinaryIO, Union, List, Optional, Dict, Any, Tuple
from pynmrstar import definitions, utils, loop as loop_mod, parser as parser_mod, saveframe as saveframe_mod
from pynmrstar._internal import _json_serialize, _i... | 47.971246 | 120 | 0.561772 | 5,379 | 45,045 | 4.549359 | 0.109314 | 0.014017 | 0.020187 | 0.012259 | 0.341997 | 0.286339 | 0.248416 | 0.226799 | 0.207797 | 0.188795 | 0 | 0.00235 | 0.357598 | 45,045 | 938 | 121 | 48.022388 | 0.843315 | 0.224198 | 0 | 0.281961 | 0 | 0 | 0.176936 | 0.043336 | 0 | 0 | 0 | 0.001066 | 0 | 1 | 0.075306 | false | 0.007005 | 0.017513 | 0.001751 | 0.175131 | 0.007005 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
850e1110baca1c14a7d48fb08c645b57e4e9158c | 2,862 | py | Python | tests/compilation/yaml/test_yaml_load_inclusion.py | lasta/preacher | 5e50f8eb930fac72a788e7614eb5a85903f7bde6 | [
"MIT"
] | null | null | null | tests/compilation/yaml/test_yaml_load_inclusion.py | lasta/preacher | 5e50f8eb930fac72a788e7614eb5a85903f7bde6 | [
"MIT"
] | null | null | null | tests/compilation/yaml/test_yaml_load_inclusion.py | lasta/preacher | 5e50f8eb930fac72a788e7614eb5a85903f7bde6 | [
"MIT"
] | null | null | null | import os
from io import StringIO
from pytest import mark, raises
from preacher.compilation.yaml import YamlError, load
@mark.parametrize(('content', 'expected_message'), [
('!include []', '", line 1, column 1'),
('!include {}', '", line 1, column 1'),
])
def test_given_invalid_inclusion(content, expected_m... | 33.670588 | 87 | 0.636268 | 347 | 2,862 | 5.144092 | 0.233429 | 0.053782 | 0.036975 | 0.039216 | 0.386555 | 0.202801 | 0.202801 | 0.185434 | 0.07507 | 0.07507 | 0 | 0.003454 | 0.190776 | 2,862 | 84 | 88 | 34.071429 | 0.767271 | 0 | 0 | 0.128571 | 0 | 0 | 0.364081 | 0.087701 | 0 | 0 | 0 | 0 | 0.185714 | 1 | 0.057143 | false | 0 | 0.057143 | 0 | 0.114286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
850f175e41fd56a4797f57b9509f4632b0f87cf8 | 657 | py | Python | death_functions.py | Yamgrenade/Gou | fa4fea253ef1a7d6fdc4f59b51d27d7442cc3ded | [
"MIT"
] | null | null | null | death_functions.py | Yamgrenade/Gou | fa4fea253ef1a7d6fdc4f59b51d27d7442cc3ded | [
"MIT"
] | 9 | 2019-08-30T15:02:25.000Z | 2019-10-03T17:33:54.000Z | death_functions.py | Yamgrenade/Gou | fa4fea253ef1a7d6fdc4f59b51d27d7442cc3ded | [
"MIT"
] | 1 | 2020-07-13T16:29:19.000Z | 2020-07-13T16:29:19.000Z | import tcod as libtcod
from render_functions import RenderOrder
from game_states import GameStates
from game_messages import Message
def kill_player(player):
player.char = '%'
player.color = libtcod.dark_red
return Message('YOU DIED', libtcod.red), GameStates.PLAYER_DEAD
def kill_monster(monster):
... | 26.28 | 87 | 0.730594 | 84 | 657 | 5.583333 | 0.488095 | 0.070362 | 0.06823 | 0.081023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001855 | 0.179604 | 657 | 25 | 88 | 26.28 | 0.868275 | 0 | 0 | 0 | 0 | 0 | 0.056231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8515a99b3eb2ef4eb36f62853a3bd0233a514cfc | 4,458 | py | Python | tests/cache_test.py | arnib/ssm-cache-python | 298bfc38a15cfd4b0de42412a335b61b9971ba22 | [
"MIT"
] | 1 | 2020-05-25T08:26:55.000Z | 2020-05-25T08:26:55.000Z | tests/cache_test.py | benkehoe/ssm-cache-python | c21c536b7ba38494bfccafea311a853f50360609 | [
"MIT"
] | null | null | null | tests/cache_test.py | benkehoe/ssm-cache-python | c21c536b7ba38494bfccafea311a853f50360609 | [
"MIT"
] | null | null | null | import os
import sys
from datetime import datetime, timedelta
import boto3
from moto import mock_ssm
from . import TestBase
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from ssm_cache import SSMParameter, InvalidParam
@mock_ssm
class TestSSMCache(TestBase):
def setUp(self):
... | 35.951613 | 82 | 0.651189 | 551 | 4,458 | 4.972777 | 0.219601 | 0.061314 | 0.061314 | 0.09635 | 0.537226 | 0.377007 | 0.287956 | 0.281022 | 0.25146 | 0.211679 | 0 | 0.013162 | 0.250112 | 4,458 | 123 | 83 | 36.243902 | 0.806461 | 0.071108 | 0 | 0.354839 | 0 | 0 | 0.071532 | 0.005092 | 0 | 0 | 0 | 0 | 0.27957 | 1 | 0.139785 | false | 0.010753 | 0.075269 | 0 | 0.247312 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85184c796f1842707b6d4adf1b17e780221e13fb | 1,403 | py | Python | autograd/optim.py | brandontrabucco/autograd | 38687c67d253a1347c1bba6445169e43f1db63e4 | [
"MIT"
] | null | null | null | autograd/optim.py | brandontrabucco/autograd | 38687c67d253a1347c1bba6445169e43f1db63e4 | [
"MIT"
] | null | null | null | autograd/optim.py | brandontrabucco/autograd | 38687c67d253a1347c1bba6445169e43f1db63e4 | [
"MIT"
] | null | null | null | """Author: Brandon Trabucco, Copyright 2019
Implements dynamic computational graphs with an interface like pytorch.
Also uses the ADAM optimizer."""
import numpy as np
import autograd.nodes
####################
#### OPTIMIZERS ####
####################
class Adam(autograd.nodes.Optimizer):
de... | 31.886364 | 82 | 0.570919 | 189 | 1,403 | 4.111111 | 0.365079 | 0.082368 | 0.056628 | 0.05148 | 0.087516 | 0.087516 | 0 | 0 | 0 | 0 | 0 | 0.023833 | 0.282252 | 1,403 | 43 | 83 | 32.627907 | 0.747766 | 0.188881 | 0 | 0 | 0 | 0 | 0.003899 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.08 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
851ada71457a99d2701c22836c3b69a5e678b2e0 | 872 | py | Python | src/code_challenges/8_5_20.py | rupol/Hash-Tables-Lecture | 5b692ad08a0604e81c7d12d09e912925fa12c512 | [
"MIT"
] | null | null | null | src/code_challenges/8_5_20.py | rupol/Hash-Tables-Lecture | 5b692ad08a0604e81c7d12d09e912925fa12c512 | [
"MIT"
] | null | null | null | src/code_challenges/8_5_20.py | rupol/Hash-Tables-Lecture | 5b692ad08a0604e81c7d12d09e912925fa12c512 | [
"MIT"
] | null | null | null | '''
Print out all of the strings in the following array in alphabetical order, each on a separate line.
['Waltz', 'Tango', 'Viennese Waltz', 'Foxtrot', 'Cha Cha', 'Samba', 'Rumba', 'Paso Doble', 'Jive']
The expected output is:
'Cha Cha'
'Foxtrot'
'Jive'
'Paso Doble'
'Rumba'
'Samba'
'Tango'
'Viennese Waltz'
'Waltz'
You ... | 27.25 | 164 | 0.683486 | 123 | 872 | 4.813008 | 0.544715 | 0.065878 | 0.091216 | 0.077703 | 0.199324 | 0.199324 | 0.199324 | 0.199324 | 0.199324 | 0.199324 | 0 | 0.004243 | 0.18922 | 872 | 31 | 165 | 28.129032 | 0.833098 | 0.680046 | 0 | 0 | 0 | 0 | 0.237918 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.125 | 0.375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
851b02d0eb709b35d28a8b9da557a4b933cbb342 | 7,740 | py | Python | builders/layers/scenegenerators.py | leosampaio/scene-designer | 8a7276067acfde1997d386942aabc44d92436a1a | [
"MIT"
] | 9 | 2021-08-18T17:49:42.000Z | 2022-02-22T02:15:07.000Z | builders/layers/scenegenerators.py | leosampaio/scene-designer | 8a7276067acfde1997d386942aabc44d92436a1a | [
"MIT"
] | null | null | null | builders/layers/scenegenerators.py | leosampaio/scene-designer | 8a7276067acfde1997d386942aabc44d92436a1a | [
"MIT"
] | 1 | 2021-10-02T19:53:03.000Z | 2021-10-02T19:53:03.000Z | import tensorflow as tf
import tensorflow_addons as tfa
import builders
from builders.layers.helpers import build_cnn, get_normalization_2d
from builders.layers import stylegan
from builders.layers.spectral import SNConv2D
from builders.layers.syncbn import SyncBatchNormalization
def build_mask_net(hidden_channel_di... | 40.736842 | 166 | 0.624548 | 1,053 | 7,740 | 4.392213 | 0.162393 | 0.045405 | 0.07027 | 0.055351 | 0.46227 | 0.424865 | 0.387459 | 0.321081 | 0.278486 | 0.238919 | 0 | 0.022903 | 0.249742 | 7,740 | 189 | 167 | 40.952381 | 0.773549 | 0.006718 | 0 | 0.310811 | 0 | 0 | 0.028653 | 0.003777 | 0 | 0 | 0 | 0 | 0.006757 | 1 | 0.067568 | false | 0 | 0.047297 | 0.02027 | 0.182432 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
851ccf02531e4e7ff2823ea6d2824dfc6a043bbd | 3,993 | py | Python | nbviewer/tests/base.py | AI-Collaboratory/nbviewer | 1a40e04cc8aad67aa96bb840603f8f568c08d44d | [
"BSD-3-Clause-Clear"
] | 1,840 | 2015-01-01T13:25:44.000Z | 2022-03-17T08:33:01.000Z | nbviewer/tests/base.py | AI-Collaboratory/nbviewer | 1a40e04cc8aad67aa96bb840603f8f568c08d44d | [
"BSD-3-Clause-Clear"
] | 605 | 2015-01-01T16:45:01.000Z | 2022-03-14T15:25:25.000Z | nbviewer/tests/base.py | AI-Collaboratory/nbviewer | 1a40e04cc8aad67aa96bb840603f8f568c08d44d | [
"BSD-3-Clause-Clear"
] | 513 | 2015-01-07T20:54:49.000Z | 2022-02-17T16:04:30.000Z | """Base class for nbviewer tests.
Derived from IPython.html notebook test case in 2.0
"""
# -----------------------------------------------------------------------------
# Copyright (C) Jupyter Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distribut... | 27.163265 | 79 | 0.604308 | 461 | 3,993 | 5.136659 | 0.399132 | 0.041385 | 0.030405 | 0.02027 | 0.179899 | 0.179899 | 0.162162 | 0.127534 | 0.090372 | 0.053209 | 0 | 0.003775 | 0.270223 | 3,993 | 146 | 80 | 27.349315 | 0.808854 | 0.246682 | 0 | 0.293478 | 0 | 0 | 0.063226 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 1 | 0.119565 | false | 0 | 0.141304 | 0.054348 | 0.413043 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8523860c41be0e36cd1d844b36558c0d7b16343b | 4,960 | py | Python | active_reward_learning/common/policy.py | david-lindner/idrl | 54cfad330b0598ad4f6621796f2411644e50a6ba | [
"MIT"
] | 9 | 2021-11-20T18:14:38.000Z | 2022-03-20T16:29:48.000Z | active_reward_learning/common/policy.py | david-lindner/idrl | 54cfad330b0598ad4f6621796f2411644e50a6ba | [
"MIT"
] | null | null | null | active_reward_learning/common/policy.py | david-lindner/idrl | 54cfad330b0598ad4f6621796f2411644e50a6ba | [
"MIT"
] | null | null | null | import datetime
import os
import pickle
from abc import ABC, abstractmethod
import gym
import numpy as np
class BasePolicy(ABC):
@abstractmethod
def get_action(self, obs, deterministic=True):
raise NotImplementedError()
def evaluate(self, env, N=10, rollout=True):
if not rollout:
... | 30.060606 | 87 | 0.599194 | 620 | 4,960 | 4.640323 | 0.229032 | 0.036496 | 0.033368 | 0.044491 | 0.242961 | 0.208551 | 0.177963 | 0.10219 | 0.10219 | 0.10219 | 0 | 0.002002 | 0.29496 | 4,960 | 164 | 88 | 30.243902 | 0.820703 | 0.014718 | 0 | 0.174242 | 0 | 0 | 0.023541 | 0.005118 | 0 | 0 | 0 | 0 | 0.015152 | 1 | 0.166667 | false | 0.007576 | 0.045455 | 0.015152 | 0.401515 | 0.007576 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8524f725e1219424eff7106f2965054cd2eeb4a1 | 8,384 | py | Python | raft/servers/zre_server.py | adsharma/raft | 49c7bfd472af4c97cc69d7e7e4ffc26808ed88db | [
"MIT"
] | 4 | 2021-01-20T20:29:19.000Z | 2021-09-21T18:20:08.000Z | raft/servers/zre_server.py | adsharma/raft | 49c7bfd472af4c97cc69d7e7e4ffc26808ed88db | [
"MIT"
] | 11 | 2021-01-07T19:06:42.000Z | 2021-08-22T17:57:27.000Z | raft/servers/zre_server.py | adsharma/raft | 49c7bfd472af4c97cc69d7e7e4ffc26808ed88db | [
"MIT"
] | null | null | null | import asyncio
import logging
import threading
import uuid
from cachetools import TTLCache
from pyre import Pyre
from serde.msgpack import from_msgpack, to_msgpack
from typing import List, Union
from ..boards.memory_board import MemoryBoard
from ..messages.append_entries import AppendEntriesMessage, LogEntry, Command... | 35.982833 | 87 | 0.563216 | 892 | 8,384 | 5.115471 | 0.223094 | 0.028928 | 0.019724 | 0.015122 | 0.30835 | 0.229235 | 0.193294 | 0.174885 | 0.117028 | 0.117028 | 0 | 0.002574 | 0.351145 | 8,384 | 232 | 88 | 36.137931 | 0.836213 | 0.072638 | 0 | 0.233503 | 0 | 0 | 0.052039 | 0 | 0 | 0 | 0 | 0.00431 | 0.010152 | 1 | 0.025381 | false | 0.005076 | 0.06599 | 0.005076 | 0.152284 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8525422df5c9d907c2e3e52b44632726d4428acd | 6,828 | py | Python | loops/ornekUygulama.py | mrtyasar/PythonLearn | b8fa5d97b9c811365db8457f42f1e1d04e4dc8a4 | [
"Apache-2.0"
] | null | null | null | loops/ornekUygulama.py | mrtyasar/PythonLearn | b8fa5d97b9c811365db8457f42f1e1d04e4dc8a4 | [
"Apache-2.0"
] | null | null | null | loops/ornekUygulama.py | mrtyasar/PythonLearn | b8fa5d97b9c811365db8457f42f1e1d04e4dc8a4 | [
"Apache-2.0"
] | null | null | null | #----------------------------------------------#
# Karakter Dizilerinin İçeriğini Karşılaştırma
#----------------------------------------------#
#elimizde iki farklı metin var
ilkMetin = "asdasfddgdhfjfdgdşfkgjdfklgşjdfklgjdfkghdfjghjklsdhajlsdhjkjhkhjjh"
ikinciMetin = "sdfsuıdoryeuıfsjkdfhdjklghjdfklruseldhfjlkdshflj... | 35.936842 | 747 | 0.733304 | 896 | 6,828 | 5.603795 | 0.393973 | 0.025891 | 0.01673 | 0.017526 | 0.29038 | 0.280223 | 0.267875 | 0.25234 | 0.25234 | 0.230034 | 0 | 0.005268 | 0.165934 | 6,828 | 189 | 748 | 36.126984 | 0.873573 | 0.323228 | 0 | 0.285714 | 0 | 0 | 0.597217 | 0.055276 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85284fae5ffd5fddbef7db877d1222f08e75fa2f | 16,667 | py | Python | bubble/bubble_runner.py | cp105/ai611_project | 2d0bbd8052a6425eefc7301e18ddf9ad4404a8fb | [
"Apache-2.0"
] | 1 | 2020-05-18T03:18:11.000Z | 2020-05-18T03:18:11.000Z | bubble/bubble_runner.py | cp105/ai611_project | 2d0bbd8052a6425eefc7301e18ddf9ad4404a8fb | [
"Apache-2.0"
] | null | null | null | bubble/bubble_runner.py | cp105/ai611_project | 2d0bbd8052a6425eefc7301e18ddf9ad4404a8fb | [
"Apache-2.0"
] | 1 | 2020-11-02T08:46:32.000Z | 2020-11-02T08:46:32.000Z | # coding=utf-8
# Copyright 2018 The Dopamine 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... | 42.845758 | 122 | 0.638927 | 2,016 | 16,667 | 5.022321 | 0.204365 | 0.016 | 0.016889 | 0.011358 | 0.298765 | 0.211358 | 0.167012 | 0.140741 | 0.117136 | 0.106074 | 0 | 0.009966 | 0.259495 | 16,667 | 388 | 123 | 42.956186 | 0.810404 | 0.130557 | 0 | 0.25784 | 0 | 0 | 0.068101 | 0.00354 | 0 | 0 | 0 | 0.002577 | 0.006969 | 1 | 0.076655 | false | 0 | 0.087108 | 0.003484 | 0.229965 | 0.013937 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8528bb78af4c1e85b701d3605f8b9052440870fe | 10,830 | py | Python | Packs/HatchingTriage/Integrations/HatchingTriage/HatchingTriage.py | hatching/content | 5e00808969b9d56c3f5cbdcb9068b65ac1a6de84 | [
"MIT"
] | 1 | 2021-04-20T10:58:15.000Z | 2021-04-20T10:58:15.000Z | Packs/HatchingTriage/Integrations/HatchingTriage/HatchingTriage.py | hatching/content | 5e00808969b9d56c3f5cbdcb9068b65ac1a6de84 | [
"MIT"
] | null | null | null | Packs/HatchingTriage/Integrations/HatchingTriage/HatchingTriage.py | hatching/content | 5e00808969b9d56c3f5cbdcb9068b65ac1a6de84 | [
"MIT"
] | 1 | 2021-04-20T20:02:06.000Z | 2021-04-20T20:02:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import json
class Client(BaseClient):
def __init__(self, base_url, *args, **kwarg):
super().__init__(base_url, *args, **kwarg)
def test_module(client: Client) -> str:
r = client._http_request(
... | 27.912371 | 113 | 0.634257 | 1,329 | 10,830 | 4.987961 | 0.139955 | 0.050686 | 0.058983 | 0.046161 | 0.43717 | 0.345452 | 0.309549 | 0.267159 | 0.255695 | 0.211344 | 0 | 0.002361 | 0.217729 | 10,830 | 387 | 114 | 27.984496 | 0.780099 | 0.027516 | 0 | 0.284615 | 0 | 0.003846 | 0.237768 | 0.070291 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092308 | false | 0.003846 | 0.015385 | 0 | 0.203846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
516b7b328aa661fb5cfc6cbe4557688406fd3782 | 488 | py | Python | doi_request/controller.py | joffilyfe/doi_request | 870c6b346d7b28789e45cfdae01dcc0f47dafd43 | [
"BSD-2-Clause"
] | null | null | null | doi_request/controller.py | joffilyfe/doi_request | 870c6b346d7b28789e45cfdae01dcc0f47dafd43 | [
"BSD-2-Clause"
] | null | null | null | doi_request/controller.py | joffilyfe/doi_request | 870c6b346d7b28789e45cfdae01dcc0f47dafd43 | [
"BSD-2-Clause"
] | null | null | null | import logging
from tasks.celery import registry_dispatcher_document
logger = logging.getLogger(__name__)
class Depositor(object):
def deposit_by_pids(self, pids_list):
"""
Receive a list of pids and collection to registry their dois.
scl
"""
for item in pids_list:
... | 23.238095 | 69 | 0.651639 | 57 | 488 | 5.350877 | 0.666667 | 0.118033 | 0.170492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.266393 | 488 | 20 | 70 | 24.4 | 0.851955 | 0.133197 | 0 | 0 | 0 | 0 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5173f3bf7eb06fb274030ee5d5c05a3722df00ba | 18,234 | py | Python | main.py | KlaudijaMedeksaite/GBUI-voice-project | bd2cd979483e3ac43de5009d148e2e0403f50eda | [
"MIT"
] | null | null | null | main.py | KlaudijaMedeksaite/GBUI-voice-project | bd2cd979483e3ac43de5009d148e2e0403f50eda | [
"MIT"
] | null | null | null | main.py | KlaudijaMedeksaite/GBUI-voice-project | bd2cd979483e3ac43de5009d148e2e0403f50eda | [
"MIT"
] | null | null | null | import time
import playsound
import os
import random
from gtts.lang import tts_langs
from deep_translator import (GoogleTranslator)
import pickle
import json
# my classes
import random_test
import mike
import lang_tests
import level_one
import level_two
import level_three
import extras
# game progress vars
parts = {"... | 27.585477 | 111 | 0.530109 | 2,083 | 18,234 | 4.530005 | 0.116659 | 0.034337 | 0.033383 | 0.024799 | 0.448177 | 0.362124 | 0.297266 | 0.293133 | 0.293133 | 0.234103 | 0 | 0.018863 | 0.305144 | 18,234 | 660 | 112 | 27.627273 | 0.725888 | 0.048426 | 0 | 0.437624 | 0 | 0 | 0.230143 | 0.042773 | 0.00198 | 0 | 0 | 0 | 0 | 1 | 0.059406 | false | 0.00198 | 0.029703 | 0 | 0.126733 | 0.09505 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51754b6a4b3d3608f20c547765de1308a45663f9 | 2,135 | py | Python | changes/utils/shards.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 443 | 2015-01-03T16:28:39.000Z | 2021-04-26T16:39:46.000Z | changes/utils/shards.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 12 | 2015-07-30T19:07:16.000Z | 2016-11-07T23:11:21.000Z | changes/utils/shards.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 47 | 2015-01-09T10:04:00.000Z | 2020-11-18T17:58:19.000Z | import heapq
from flask import current_app
from typing import Any, Callable, cast, Dict, List, Tuple, TypeVar # NOQA
Normalized = TypeVar('Normalized')
def shard(objects, max_shards, object_stats, avg_time, normalize_object_name=cast(Callable[[str], Normalized], lambda x: x)):
# type: (List[str], int, Dict[No... | 41.862745 | 125 | 0.671194 | 295 | 2,135 | 4.728814 | 0.39322 | 0.028674 | 0.04086 | 0.022939 | 0.061649 | 0.034409 | 0 | 0 | 0 | 0 | 0 | 0.001226 | 0.236066 | 2,135 | 50 | 126 | 42.7 | 0.854077 | 0.44918 | 0 | 0 | 0 | 0 | 0.043088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.304348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5177c744c2f039219154881a88b3bbbb875e7877 | 5,989 | py | Python | main.py | Joeization/pyGaen | 172db8a1609da7d6c698d552e5d915df912e9e2d | [
"MIT"
] | 1 | 2019-06-16T16:13:18.000Z | 2019-06-16T16:13:18.000Z | main.py | Joeization/pyGaen | 172db8a1609da7d6c698d552e5d915df912e9e2d | [
"MIT"
] | null | null | null | main.py | Joeization/pyGaen | 172db8a1609da7d6c698d552e5d915df912e9e2d | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import pygame
try:
import pygame._view
except ImportError:
pass
from choice import *
from bgm import *
from dialog import *
from settings import *
from text import *
from log import *
def main():
pygame.init()
pygame.font.init()
screen = pygame.display.s... | 27.855814 | 85 | 0.393054 | 640 | 5,989 | 3.64375 | 0.254688 | 0.044597 | 0.025729 | 0.02187 | 0.175386 | 0.108919 | 0.090909 | 0.090909 | 0.062607 | 0.042882 | 0 | 0.03899 | 0.477542 | 5,989 | 214 | 86 | 27.985981 | 0.706296 | 0.016029 | 0 | 0.361446 | 0 | 0 | 0.020051 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006024 | false | 0.024096 | 0.054217 | 0 | 0.060241 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5178c24558ef71ed70c83cdfa68e492916a169e6 | 3,045 | py | Python | ModelDGI.py | shiqitao/AutoGraph | 41f5956c859ff0fb6f87109d5f8731276bdcc2ef | [
"MIT"
] | null | null | null | ModelDGI.py | shiqitao/AutoGraph | 41f5956c859ff0fb6f87109d5f8731276bdcc2ef | [
"MIT"
] | null | null | null | ModelDGI.py | shiqitao/AutoGraph | 41f5956c859ff0fb6f87109d5f8731276bdcc2ef | [
"MIT"
] | null | null | null | import numpy as np
import torch
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from torch.nn import PReLU
from torch_geometric.nn import GCNConv, DeepGraphInfomax
from Result import Result
class Encoder(torch.nn.Module):
def __init__(self, hidden, data):
s... | 34.602273 | 104 | 0.60821 | 393 | 3,045 | 4.516539 | 0.267176 | 0.04507 | 0.051268 | 0.059155 | 0.290704 | 0.272676 | 0.226479 | 0.226479 | 0.226479 | 0.221408 | 0 | 0.010676 | 0.261741 | 3,045 | 87 | 105 | 35 | 0.778915 | 0 | 0 | 0.231884 | 0 | 0 | 0.002956 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057971 | false | 0 | 0.101449 | 0.014493 | 0.231884 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51792436ea974d474c1f1d84607900ce05ba5464 | 4,496 | py | Python | conf/views.py | OnlineJudgeNextGeneration/qduoj2 | c4889d70850bd91ae7f662c02524d0555b6a3ce7 | [
"MIT"
] | 1 | 2018-01-28T07:48:13.000Z | 2018-01-28T07:48:13.000Z | conf/views.py | OnlineJudgeNextGeneration/qduoj2 | c4889d70850bd91ae7f662c02524d0555b6a3ce7 | [
"MIT"
] | null | null | null | conf/views.py | OnlineJudgeNextGeneration/qduoj2 | c4889d70850bd91ae7f662c02524d0555b6a3ce7 | [
"MIT"
] | null | null | null | import hashlib
from django.utils import timezone
from account.decorators import super_admin_required
from judge.dispatcher import process_pending_task
from judge.languages import languages, spj_languages
from options.options import SysOptions
from utils.api import APIView, CSRFExemptAPIView, validate_serializer
from ... | 37.466667 | 101 | 0.627002 | 437 | 4,496 | 6.270023 | 0.290618 | 0.043796 | 0.068248 | 0.045985 | 0.147445 | 0.078467 | 0.056934 | 0.030657 | 0 | 0 | 0 | 0.001238 | 0.281139 | 4,496 | 119 | 102 | 37.781513 | 0.846535 | 0.00823 | 0 | 0.244898 | 0 | 0 | 0.08324 | 0.015706 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102041 | false | 0.030612 | 0.091837 | 0.020408 | 0.377551 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
517946e1d2fb85e5f713dbfc6bcd270e2147f166 | 15,026 | py | Python | gamse/pipelines/__init__.py | wangleon/gamse | ed2a3730469a1eeef3def1beca990e9d2641a53b | [
"Apache-2.0"
] | 10 | 2019-04-10T15:05:50.000Z | 2021-11-28T15:31:38.000Z | gamse/pipelines/__init__.py | wangleon/gamse | ed2a3730469a1eeef3def1beca990e9d2641a53b | [
"Apache-2.0"
] | 15 | 2020-04-07T07:29:27.000Z | 2022-02-19T15:47:04.000Z | gamse/pipelines/__init__.py | wangleon/gamse | ed2a3730469a1eeef3def1beca990e9d2641a53b | [
"Apache-2.0"
] | 2 | 2020-04-02T09:04:27.000Z | 2020-10-14T15:29:10.000Z | import os
import re
import sys
import shutil
import logging
logger = logging.getLogger(__name__)
import configparser
import numpy as np
import astropy.io.fits as fits
import matplotlib.pyplot as plt
import matplotlib.ticker as tck
from ..utils.obslog import read_obslog
from ..utils.misc import write_system_info
fr... | 34.542529 | 80 | 0.535605 | 1,704 | 15,026 | 4.623826 | 0.212441 | 0.01523 | 0.01485 | 0.010661 | 0.365402 | 0.335576 | 0.312476 | 0.304353 | 0.294454 | 0.248763 | 0 | 0.012464 | 0.348596 | 15,026 | 434 | 81 | 34.62212 | 0.792501 | 0.140423 | 0 | 0.436306 | 0 | 0.003185 | 0.082482 | 0.004713 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025478 | false | 0.009554 | 0.044586 | 0 | 0.070064 | 0.022293 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
517c72830a031351a68c7d69fc4b0b87b4a8a950 | 975 | py | Python | src/django/api/management/commands/processfixtures.py | azavea/open-apparel-registry | 20f7a6d502d9152c85ee7f2696b25b6badf98924 | [
"MIT"
] | 32 | 2019-01-26T05:04:03.000Z | 2022-03-11T15:09:09.000Z | src/django/api/management/commands/processfixtures.py | azavea/open-apparel-registry | 20f7a6d502d9152c85ee7f2696b25b6badf98924 | [
"MIT"
] | 1,586 | 2019-01-15T21:54:42.000Z | 2022-03-31T17:38:14.000Z | src/django/api/management/commands/processfixtures.py | azavea/open-apparel-registry | 20f7a6d502d9152c85ee7f2696b25b6badf98924 | [
"MIT"
] | 7 | 2019-02-28T03:32:46.000Z | 2021-11-04T17:03:46.000Z | from django.core.management import call_command
from django.core.management.base import BaseCommand
class Command(BaseCommand):
help = 'Run all processing steps on data loaded from fixtures'
def add_arguments(self, parser):
parser.add_argument(
'-s',
'--startid',
t... | 29.545455 | 66 | 0.524103 | 108 | 975 | 4.62037 | 0.490741 | 0.06012 | 0.056112 | 0.096192 | 0.128257 | 0.128257 | 0.128257 | 0.128257 | 0 | 0 | 0 | 0.00487 | 0.368205 | 975 | 32 | 67 | 30.46875 | 0.805195 | 0 | 0 | 0.148148 | 0 | 0 | 0.217436 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.074074 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
518478984b76dc79b0984af18a409fa92718c2e2 | 10,703 | py | Python | ngram/language_model.py | brightp-py/rnng-and-rts | c1251de9bd4c35531cb46dbfb8b2c989ab5a1f33 | [
"MIT"
] | null | null | null | ngram/language_model.py | brightp-py/rnng-and-rts | c1251de9bd4c35531cb46dbfb8b2c989ab5a1f33 | [
"MIT"
] | null | null | null | ngram/language_model.py | brightp-py/rnng-and-rts | c1251de9bd4c35531cb46dbfb8b2c989ab5a1f33 | [
"MIT"
] | null | null | null | #!/bin/env python
"""
language_model.py.
Written by joshualoehr.
https://github.com/joshualoehr/ngram-language-model
Edited by Brighton Pauli, 4/20/2022.
"""
import argparse
from itertools import product
from pathlib import Path
import numpy as np
import nltk
from preprocess import preprocess, EOS, UNK
def load_d... | 36.780069 | 79 | 0.608521 | 1,420 | 10,703 | 4.497183 | 0.226056 | 0.015659 | 0.012527 | 0.008456 | 0.112277 | 0.054494 | 0.036956 | 0.036956 | 0.008143 | 0 | 0 | 0.009165 | 0.296552 | 10,703 | 290 | 80 | 36.906897 | 0.839022 | 0.387181 | 0 | 0 | 0 | 0 | 0.094842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087302 | false | 0 | 0.047619 | 0.007937 | 0.230159 | 0.079365 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51854f42a0ad4da0db518cc4b31ddad382a8ad3b | 11,484 | py | Python | code/pyorg/globals/mt_seg.py | anmartinezs/pyseg_system | 5bb07c7901062452a34b73f376057cabc15a13c3 | [
"Apache-2.0"
] | 12 | 2020-01-08T01:33:02.000Z | 2022-03-16T00:25:34.000Z | code/pyorg/globals/mt_seg.py | anmartinezs/pyseg_system | 5bb07c7901062452a34b73f376057cabc15a13c3 | [
"Apache-2.0"
] | 8 | 2019-12-19T19:34:56.000Z | 2022-03-10T10:11:28.000Z | code/pyorg/globals/mt_seg.py | anmartinezs/pyseg_system | 5bb07c7901062452a34b73f376057cabc15a13c3 | [
"Apache-2.0"
] | 2 | 2022-03-30T13:12:22.000Z | 2022-03-30T18:12:10.000Z | """
Collection of functions for helping to segment microtubes in tomograms
# Author: Antonio Martinez-Sanchez (Max Planck Institute for Biochemistry)
# Date: 1.07.17
"""
import csv
import vtk
from .utils import *
from sklearn.cluster import MeanShift
__author__ = 'Antonio Martinez-Sanchez'
# Clean an directory con... | 36.113208 | 120 | 0.638628 | 1,818 | 11,484 | 3.858086 | 0.191969 | 0.011976 | 0.00499 | 0.03493 | 0.233105 | 0.204448 | 0.185486 | 0.156401 | 0.156401 | 0.150413 | 0 | 0.016786 | 0.247823 | 11,484 | 317 | 121 | 36.227129 | 0.795207 | 0.271334 | 0 | 0.145161 | 0 | 0 | 0.077213 | 0.007891 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0.005376 | 0.021505 | 0 | 0.123656 | 0.005376 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
518655f8a3ef06d9584a599c64e86a70b2d75a88 | 1,725 | py | Python | Medium/396.py | Hellofafar/Leetcode | 7a459e9742958e63be8886874904e5ab2489411a | [
"CNRI-Python"
] | 6 | 2017-09-25T18:05:50.000Z | 2019-03-27T00:23:15.000Z | Medium/396.py | Hellofafar/Leetcode | 7a459e9742958e63be8886874904e5ab2489411a | [
"CNRI-Python"
] | 1 | 2017-10-29T12:04:41.000Z | 2018-08-16T18:00:37.000Z | Medium/396.py | Hellofafar/Leetcode | 7a459e9742958e63be8886874904e5ab2489411a | [
"CNRI-Python"
] | null | null | null | # ------------------------------
# 396. Rotate Function
#
# Description:
# Given an array of integers A and let n to be its length.
#
# Assume Bk to be an array obtained by rotating the array A k positions clock-wise,
# we define a "rotation function" F on A as follow:
#
# F(k) = 0 * Bk[0] + 1 * Bk[1] + ... + (n-1)... | 28.278689 | 84 | 0.441159 | 277 | 1,725 | 2.718412 | 0.33935 | 0.023904 | 0.023904 | 0.046481 | 0.12749 | 0.12749 | 0.12749 | 0.12749 | 0.12749 | 0.069057 | 0 | 0.090909 | 0.330435 | 1,725 | 61 | 85 | 28.278689 | 0.561039 | 0.613333 | 0 | 0 | 0 | 0 | 0.012698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
51874c89c5717dcfb607658189272652ac7ef4e4 | 892 | py | Python | word2vec_train.py | kyucheolsim/gs-word2vec | 14a08f4320cd913694dab5980a5c4467c0ed9613 | [
"MIT"
] | null | null | null | word2vec_train.py | kyucheolsim/gs-word2vec | 14a08f4320cd913694dab5980a5c4467c0ed9613 | [
"MIT"
] | 2 | 2021-03-31T20:05:56.000Z | 2021-12-13T20:46:58.000Z | word2vec_train.py | kyucheolsim/gs-word2vec | 14a08f4320cd913694dab5980a5c4467c0ed9613 | [
"MIT"
] | null | null | null | from konlpy.tag import Mecab
from gensim.models.word2vec import Word2Vec
from W2VData import tokenize, W2VData
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
ADD_POS = True
LOWER = True
SG = 0
ITER = 10
MIN_COUNT = 3
EMBED_SIZE = 100
VOCAB_SIZE = 10000
tok... | 30.758621 | 187 | 0.748879 | 140 | 892 | 4.6 | 0.514286 | 0.049689 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027202 | 0.134529 | 892 | 28 | 188 | 31.857143 | 0.806995 | 0.132287 | 0 | 0 | 0 | 0 | 0.152146 | 0.09883 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
518a5d915b98f8e18ba518f211b0e46a72f71a18 | 3,338 | py | Python | india-covid19india-py/main.py | vpt101/covid-19_data_analysis | 1d02385ad75b650e584e119a8891433aa70e90d8 | [
"CC0-1.0"
] | null | null | null | india-covid19india-py/main.py | vpt101/covid-19_data_analysis | 1d02385ad75b650e584e119a8891433aa70e90d8 | [
"CC0-1.0"
] | null | null | null | india-covid19india-py/main.py | vpt101/covid-19_data_analysis | 1d02385ad75b650e584e119a8891433aa70e90d8 | [
"CC0-1.0"
] | null | null | null | # encoding: utf-8
import sys
sys.path.append(r'./Ind')
from IndStatePlotter import IndStatePlotter
from IndTypes import IndType
from ModellingMode import ModellingMode
import Meta as cc
from Ind import IndParser
from Ind import IndStateAnalyzer as Isa
# from IndStateAnalyzer import IndStateAnalyzer
DEFAULT_MODE... | 30.623853 | 123 | 0.639305 | 362 | 3,338 | 5.859116 | 0.411602 | 0.035361 | 0.020745 | 0.037718 | 0.18199 | 0.162188 | 0.162188 | 0.090523 | 0.090523 | 0.029231 | 0 | 0.007955 | 0.246854 | 3,338 | 108 | 124 | 30.907407 | 0.83572 | 0.146495 | 0 | 0.075472 | 0 | 0 | 0.015183 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09434 | false | 0 | 0.150943 | 0 | 0.301887 | 0.037736 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
518bffc883589adb5a823d3a5c5dcc651a157b64 | 4,203 | py | Python | test/test.py | mtdsousa/antlr4-verilog | c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad | [
"MIT"
] | 3 | 2022-02-15T15:51:43.000Z | 2022-02-21T13:18:09.000Z | test/test.py | mtdsousa/antlr4-verilog | c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad | [
"MIT"
] | 1 | 2022-02-21T12:35:10.000Z | 2022-02-21T16:45:56.000Z | test/test.py | mtdsousa/antlr4-verilog-python | c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad | [
"MIT"
] | null | null | null | '''
Copyright (c) 2022 Marco Diniz Sousa
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, distribu... | 38.916667 | 109 | 0.655722 | 405 | 4,203 | 6.693827 | 0.358025 | 0.020657 | 0.050904 | 0.040575 | 0.357433 | 0.339727 | 0.302103 | 0.272593 | 0.272593 | 0.215419 | 0 | 0.002248 | 0.259101 | 4,203 | 107 | 110 | 39.280374 | 0.868337 | 0.142279 | 0 | 0.324675 | 0 | 0 | 0.118187 | 0 | 0 | 0 | 0 | 0 | 0.077922 | 1 | 0.168831 | false | 0 | 0.051948 | 0 | 0.311688 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |