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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
79181888e71b95f21231a74673bce1df5f5dad06 | 1,058 | py | Python | jburt/mask.py | jbburt/jburt | 7745491214ef2b665ca8d1fc526bc802a36985ff | [
"MIT"
] | null | null | null | jburt/mask.py | jbburt/jburt | 7745491214ef2b665ca8d1fc526bc802a36985ff | [
"MIT"
] | null | null | null | jburt/mask.py | jbburt/jburt | 7745491214ef2b665ca8d1fc526bc802a36985ff | [
"MIT"
] | null | null | null | from typing import List
import numpy as np
def mask_nan(arrays: List[np.ndarray]) -> List[np.ndarray]:
"""
Drop indices from equal-sized arrays if the element at that index is NaN in
any of the input arrays.
Parameters
----------
arrays : List[np.ndarray]
list of ndarrays containing ... | 27.128205 | 79 | 0.581285 | 169 | 1,058 | 3.621302 | 0.426036 | 0.039216 | 0.084967 | 0.062092 | 0.075163 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027097 | 0.267486 | 1,058 | 38 | 80 | 27.842105 | 0.762581 | 0.587902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
791a179ef2265637a66974e7b35a3ad2c3c5a16a | 10,666 | py | Python | src/pythonModules/fourgp_rv/fourgp_rv/templates_resample.py | dcf21/4most-4gp | 0421d76791315aa3ca8ff9e4bd2e37ad36c0141f | [
"MIT"
] | null | null | null | src/pythonModules/fourgp_rv/fourgp_rv/templates_resample.py | dcf21/4most-4gp | 0421d76791315aa3ca8ff9e4bd2e37ad36c0141f | [
"MIT"
] | null | null | null | src/pythonModules/fourgp_rv/fourgp_rv/templates_resample.py | dcf21/4most-4gp | 0421d76791315aa3ca8ff9e4bd2e37ad36c0141f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Code to take template spectra, used for RV fitting, and pass them through 4FS to resample them to 4MOST's resolution.
It then further resamples each arm onto a fixed logarithmic stride.
"""
import argparse
import hashlib
import logging
import numpy as np
import os
from os import path as os... | 45.387234 | 127 | 0.603975 | 1,183 | 10,666 | 5.269653 | 0.255283 | 0.034649 | 0.021174 | 0.013474 | 0.143247 | 0.104107 | 0.064806 | 0.033365 | 0.019891 | 0.019891 | 0 | 0.006698 | 0.328146 | 10,666 | 234 | 128 | 45.581197 | 0.863243 | 0.301519 | 0 | 0.077586 | 0 | 0 | 0.121938 | 0.011285 | 0 | 0 | 0 | 0 | 0.008621 | 1 | 0.025862 | false | 0.008621 | 0.086207 | 0 | 0.12931 | 0.008621 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
79206dc12be47bbbc702eacb1b5f27bdf824bf1f | 2,993 | py | Python | fastapi_cloudauth/firebase.py | jleclanche/fastapi-cloudauth | 9c098f91f46d9d927e1f10b82b80340951d0b1f2 | [
"MIT"
] | null | null | null | fastapi_cloudauth/firebase.py | jleclanche/fastapi-cloudauth | 9c098f91f46d9d927e1f10b82b80340951d0b1f2 | [
"MIT"
] | null | null | null | fastapi_cloudauth/firebase.py | jleclanche/fastapi-cloudauth | 9c098f91f46d9d927e1f10b82b80340951d0b1f2 | [
"MIT"
] | null | null | null | from calendar import timegm
from datetime import datetime
from typing import Any, Dict
from fastapi import HTTPException
from pydantic import BaseModel, Field
from starlette import status
from .base import UserInfoAuth
from .messages import NOT_VERIFIED
from .verification import JWKS, ExtraVerifier
class FirebaseCl... | 36.060241 | 114 | 0.636151 | 373 | 2,993 | 4.924933 | 0.434316 | 0.034295 | 0.030484 | 0.043549 | 0.090365 | 0.063146 | 0.038106 | 0 | 0 | 0 | 0 | 0.003783 | 0.293351 | 2,993 | 82 | 115 | 36.5 | 0.864775 | 0.252255 | 0 | 0.083333 | 0 | 0.020833 | 0.072917 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7923c47de0831caf8141bfde82615c01392124f5 | 1,197 | py | Python | voltagemetricspublisher/services/extractionService.py | SumudithaR/svc.voltage-metrics-publisher | 4e0418c855920d3e984acf097681e2fc8c8ec081 | [
"Apache-2.0"
] | null | null | null | voltagemetricspublisher/services/extractionService.py | SumudithaR/svc.voltage-metrics-publisher | 4e0418c855920d3e984acf097681e2fc8c8ec081 | [
"Apache-2.0"
] | null | null | null | voltagemetricspublisher/services/extractionService.py | SumudithaR/svc.voltage-metrics-publisher | 4e0418c855920d3e984acf097681e2fc8c8ec081 | [
"Apache-2.0"
] | null | null | null | from time import sleep
from gpiozero import MCP3008 # Installed in GAM 13/09/2019.
import time
import gpiozero
from ..models.rawMetricDto import RawMetricDto
class ExtractionService():
def __init__(self):
self.vref = 3.3
def getGpioValues(self):
print("Getting GPIO Values."... | 32.351351 | 71 | 0.622389 | 150 | 1,197 | 4.94 | 0.446667 | 0.097166 | 0.048583 | 0.059379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 0.269841 | 1,197 | 37 | 72 | 32.351351 | 0.742563 | 0.071846 | 0 | 0 | 0 | 0 | 0.018149 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.172414 | 0 | 0.310345 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
79273775aa326888e7143a25472099fb24c7a2cc | 548 | py | Python | ALDS/ALDS1_10_A.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | 1 | 2020-01-08T16:33:46.000Z | 2020-01-08T16:33:46.000Z | ALDS/ALDS1_10_A.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | null | null | null | ALDS/ALDS1_10_A.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | null | null | null | import sys
import io
input_txt = """
44
"""
sys.stdin = io.StringIO(input_txt)
tmp = input()
# copy the below part and paste to the submission form.
# ---------function------------
def fibonacci(n):
if n <= 1:
return 1
fib_array = [1] * 45
for i in range(2, n+1):
fib_ar... | 17.125 | 56 | 0.509124 | 76 | 548 | 3.526316 | 0.473684 | 0.149254 | 0.100746 | 0.074627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02799 | 0.282847 | 548 | 31 | 57 | 17.677419 | 0.653944 | 0.206204 | 0 | 0 | 0 | 0 | 0.01 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.095238 | 0 | 0.333333 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
792bbfea31e2c47d9dc8a86be0bf40d5cfa67a78 | 7,381 | py | Python | spectrl/util/io.py | luigiberducci/dirl | 5f7997aea20dfb7347ebdee66de9bea4e6cd3c62 | [
"MIT"
] | null | null | null | spectrl/util/io.py | luigiberducci/dirl | 5f7997aea20dfb7347ebdee66de9bea4e6cd3c62 | [
"MIT"
] | null | null | null | spectrl/util/io.py | luigiberducci/dirl | 5f7997aea20dfb7347ebdee66de9bea4e6cd3c62 | [
"MIT"
] | null | null | null | import argparse
import os
import pathlib
import cv2
import pickle
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
from numpy import genfromtxt
def parse_command_line_options(print_options=False):
parser = argparse.ArgumentParser()
parser.add_argument("-n", type=int, default=-1)... | 28.608527 | 98 | 0.605067 | 1,006 | 7,381 | 4.293241 | 0.248509 | 0.02269 | 0.031257 | 0.016671 | 0.146099 | 0.107895 | 0.084279 | 0.043066 | 0.027321 | 0.027321 | 0 | 0.01276 | 0.25674 | 7,381 | 257 | 99 | 28.719844 | 0.774517 | 0.155534 | 0 | 0.062893 | 0 | 0 | 0.061503 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09434 | false | 0 | 0.056604 | 0 | 0.220126 | 0.025157 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
792d78778cc9f57f44aeb718a24a94af2accc6bf | 4,337 | py | Python | raytracing.py | avigael/raytracing-example | e1e9448fdf371c401e9ada642fd0ca8ed2702609 | [
"MIT"
] | null | null | null | raytracing.py | avigael/raytracing-example | e1e9448fdf371c401e9ada642fd0ca8ed2702609 | [
"MIT"
] | null | null | null | raytracing.py | avigael/raytracing-example | e1e9448fdf371c401e9ada642fd0ca8ed2702609 | [
"MIT"
] | null | null | null | '''2D Raytracing Example using Pygame'''
import sys
from math import pi, cos, sin
import pygame
# Constants
SIZE = (600, 600)
BORDERS = [[0, 0, SIZE[0], 0], [0, 0, 0, SIZE[1]],
[0, SIZE[1], SIZE[0], SIZE[1]], [SIZE[0], 0, SIZE[0], SIZE[1]]]
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
GREEN = (0, 255, 0)
cla... | 32.125926 | 78 | 0.512797 | 705 | 4,337 | 2.990071 | 0.158865 | 0.06167 | 0.051233 | 0.043169 | 0.402751 | 0.379032 | 0.304554 | 0.275142 | 0.260911 | 0.260911 | 0 | 0.082559 | 0.329721 | 4,337 | 134 | 79 | 32.365672 | 0.642587 | 0.094997 | 0 | 0.22449 | 0 | 0 | 0.004643 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.030612 | 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 |
792f0b4ef299a46239013a5b5a1e30079b053c00 | 1,854 | py | Python | python/test/experimental/test_tb_graph_writer.py | daniel-falk/nnabla | 3fe132ea52dc10521cc029a5d6ba8f565cf65ccf | [
"Apache-2.0"
] | 2,792 | 2017-06-26T13:05:44.000Z | 2022-03-28T07:55:26.000Z | python/test/experimental/test_tb_graph_writer.py | daniel-falk/nnabla | 3fe132ea52dc10521cc029a5d6ba8f565cf65ccf | [
"Apache-2.0"
] | 138 | 2017-06-27T07:04:44.000Z | 2022-02-28T01:37:15.000Z | python/test/experimental/test_tb_graph_writer.py | daniel-falk/nnabla | 3fe132ea52dc10521cc029a5d6ba8f565cf65ccf | [
"Apache-2.0"
] | 380 | 2017-06-26T13:23:52.000Z | 2022-03-25T16:51:30.000Z | # Copyright 2021 Sony Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 30.9 | 74 | 0.662891 | 270 | 1,854 | 4.459259 | 0.481481 | 0.049834 | 0.021595 | 0.026578 | 0.287375 | 0.259136 | 0.259136 | 0.259136 | 0.204319 | 0.204319 | 0 | 0.023471 | 0.24164 | 1,854 | 59 | 75 | 31.423729 | 0.832859 | 0.298813 | 0 | 0.333333 | 0 | 0 | 0.122862 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.194444 | 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 |
792f6c2ed852cae02d142182deaf73d1e0349382 | 1,328 | py | Python | pokeman/coatings/resolver_attribute_methods/selective_consumer.py | wmarcuse/pokeman | 5d654c227c456a065b2fea6a0d5827bff424c703 | [
"BSD-3-Clause"
] | null | null | null | pokeman/coatings/resolver_attribute_methods/selective_consumer.py | wmarcuse/pokeman | 5d654c227c456a065b2fea6a0d5827bff424c703 | [
"BSD-3-Clause"
] | null | null | null | pokeman/coatings/resolver_attribute_methods/selective_consumer.py | wmarcuse/pokeman | 5d654c227c456a065b2fea6a0d5827bff424c703 | [
"BSD-3-Clause"
] | null | null | null | import json
import logging
LOGGER = logging.getLogger(__name__)
def start(self):
self.start_consuming()
def on_message(self, channel, method, properties, body):
"""
Invoked by pika when a message is delivered from the AMQP broker. The
channel is passed for convenience. The basic_deliver object tha... | 31.619048 | 73 | 0.707831 | 165 | 1,328 | 5.6 | 0.424242 | 0.04329 | 0.049784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.220633 | 1,328 | 42 | 74 | 31.619048 | 0.892754 | 0.48494 | 0 | 0 | 0 | 0 | 0.106969 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.25 | 0.1875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7934eac98ca8ffa62c49d783f06b030e9d1fdffb | 902 | py | Python | test_tflite_model.py | jh88/fbnet | 5bd12ab8c7f6befc61efd8619d71e710db794c2b | [
"MIT"
] | 6 | 2020-01-16T14:38:10.000Z | 2021-01-24T15:49:11.000Z | test_tflite_model.py | jh88/fbnet | 5bd12ab8c7f6befc61efd8619d71e710db794c2b | [
"MIT"
] | null | null | null | test_tflite_model.py | jh88/fbnet | 5bd12ab8c7f6befc61efd8619d71e710db794c2b | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
from time import perf_counter as timer
def main():
x = np.load('data/cifar_test_x.npy')
y = np.load('data/cifar_test_y.npy').flatten()
interpreter = tf.lite.Interpreter(model_path='data/fbnet.tflite')
interpreter.allocate_tensors()
input_details = inter... | 25.771429 | 80 | 0.649667 | 126 | 902 | 4.428571 | 0.492063 | 0.064516 | 0.035842 | 0.053763 | 0.0681 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015131 | 0.194013 | 902 | 34 | 81 | 26.529412 | 0.752407 | 0 | 0 | 0 | 0 | 0 | 0.144124 | 0.046563 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.130435 | 0 | 0.217391 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
79371535785d9b4c1a14c7350dbe3a0fef48e07d | 3,669 | py | Python | src/pymor/playground/progressbar.py | JuliaBru/pymor | 46343b527267213f4279ea36f208b542ab291c4e | [
"Unlicense"
] | null | null | null | src/pymor/playground/progressbar.py | JuliaBru/pymor | 46343b527267213f4279ea36f208b542ab291c4e | [
"Unlicense"
] | null | null | null | src/pymor/playground/progressbar.py | JuliaBru/pymor | 46343b527267213f4279ea36f208b542ab291c4e | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# This file is part of the pyMOR project (http://www.pymor.org).
# Copyright 2013-2016 pyMOR developers and contributors. All rights reserved.
# License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause)
import sys
############################################################
#
#... | 35.970588 | 80 | 0.562006 | 434 | 3,669 | 4.698157 | 0.407834 | 0.048553 | 0.027464 | 0.014713 | 0.025503 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021451 | 0.301172 | 3,669 | 101 | 81 | 36.326733 | 0.773791 | 0.347234 | 0 | 0 | 0 | 0 | 0.017584 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.037037 | 0.037037 | 0.203704 | 0.018519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
79372371d63d8554463e6ea69f517b712b741c97 | 8,184 | py | Python | toontown/minigame/TwoDBattleMgr.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 1 | 2021-02-13T22:40:50.000Z | 2021-02-13T22:40:50.000Z | toontown/minigame/TwoDBattleMgr.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 1 | 2018-07-28T20:07:04.000Z | 2018-07-30T18:28:34.000Z | toontown/minigame/TwoDBattleMgr.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 3 | 2021-06-03T05:36:36.000Z | 2021-06-22T15:07:31.000Z | from panda3d.core import *
from direct.showbase.DirectObject import DirectObject
from toontown.toonbase.ToonBaseGlobal import *
from direct.directnotify import DirectNotifyGlobal
from direct.interval.IntervalGlobal import *
from toontown.battle.BattleProps import *
from toontown.battle import MovieUtil
import math
cla... | 43.301587 | 454 | 0.660191 | 821 | 8,184 | 6.520097 | 0.276492 | 0.022417 | 0.030824 | 0.014945 | 0.232393 | 0.146647 | 0.126658 | 0.126658 | 0.109845 | 0.109845 | 0 | 0.017783 | 0.237292 | 8,184 | 188 | 455 | 43.531915 | 0.839795 | 0 | 0 | 0.198795 | 0 | 0 | 0.028104 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114458 | false | 0.012048 | 0.048193 | 0 | 0.222892 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
793b2e2631986fe445d59015d41bd730fa29fbfa | 352 | py | Python | qt/__init__.py | popupcad/popupcad | d3da448260cd5cb9e05417b0a723d7f73ae4e06e | [
"MIT"
] | 19 | 2015-08-01T22:13:39.000Z | 2020-03-07T03:55:46.000Z | qt/__init__.py | CadQuery/popupcad | b0c7b406d4b288c7cb375340323bba0252aedbfb | [
"MIT"
] | 106 | 2015-07-23T19:58:01.000Z | 2019-05-14T03:46:08.000Z | qt/__init__.py | CadQuery/popupcad | b0c7b406d4b288c7cb375340323bba0252aedbfb | [
"MIT"
] | 9 | 2015-10-04T23:38:41.000Z | 2020-07-16T03:50:34.000Z | # -*- coding: utf-8 -*-
"""
Written by Daniel M. Aukes and CONTRIBUTORS
Email: danaukes<at>asu.edu.
Please see LICENSE for full license.
"""
import sys
argv = [item.lower() for item in sys.argv]
if 'qt4' in argv:
loaded = 'PyQt4'
elif 'qt5' in argv:
loaded = 'PyQt5'
elif 'pyside' in argv:
loaded = 'PySi... | 16 | 43 | 0.636364 | 52 | 352 | 4.307692 | 0.673077 | 0.080357 | 0.160714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021818 | 0.21875 | 352 | 21 | 44 | 16.761905 | 0.792727 | 0.372159 | 0 | 0.2 | 0 | 0 | 0.15493 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
793db8fe0005397f1d556c93efea7bcd3624a441 | 3,941 | py | Python | fast_carpenter/__main__.py | lgray/fast-carpenter | c33b83d16031e5ac4b857ac1a644433b6132bb05 | [
"Apache-2.0"
] | null | null | null | fast_carpenter/__main__.py | lgray/fast-carpenter | c33b83d16031e5ac4b857ac1a644433b6132bb05 | [
"Apache-2.0"
] | null | null | null | fast_carpenter/__main__.py | lgray/fast-carpenter | c33b83d16031e5ac4b857ac1a644433b6132bb05 | [
"Apache-2.0"
] | null | null | null | """
Chop up those trees into nice little tables and dataframes
"""
from __future__ import print_function
import sys
from .help import help_stages
import fast_flow.v1 as fast_flow
import fast_curator
import logging
import atuproot.atuproot_main as atup
from .event_builder import EventBuilder
from atsge.build_parallel im... | 39.019802 | 112 | 0.632073 | 461 | 3,941 | 5.182213 | 0.314534 | 0.048974 | 0.092507 | 0.028464 | 0.181247 | 0.108414 | 0.082461 | 0.071159 | 0.071159 | 0 | 0 | 0.005172 | 0.264146 | 3,941 | 100 | 113 | 39.41 | 0.818621 | 0.014717 | 0 | 0 | 0 | 0 | 0.173677 | 0.005419 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064103 | false | 0.012821 | 0.153846 | 0 | 0.282051 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
793e098cac69c0e739d368a1fa2b5c6d69bbe98f | 4,519 | py | Python | pyperform/tools.py | timgates42/pyperform | 97d87e8b9ddb35bd8f2a6782965fd7735ab0349f | [
"MIT"
] | 250 | 2015-01-03T10:15:26.000Z | 2022-03-31T19:43:37.000Z | pyperform/tools.py | timgates42/pyperform | 97d87e8b9ddb35bd8f2a6782965fd7735ab0349f | [
"MIT"
] | 4 | 2015-01-23T00:19:45.000Z | 2015-10-29T17:17:46.000Z | pyperform/tools.py | timgates42/pyperform | 97d87e8b9ddb35bd8f2a6782965fd7735ab0349f | [
"MIT"
] | 14 | 2015-01-17T16:23:04.000Z | 2021-07-15T10:59:53.000Z | __author__ = 'calvin'
import re
import sys
from math import log10
if sys.version[0] == '3':
pass
else:
range = xrange
classdef_regex = re.compile(r"\S*def .*#!|class .*#!")
tagged_line_regex = re.compile(r".*#!")
def convert_time_units(t):
""" Convert time in seconds into reasonable time units. """
... | 30.741497 | 107 | 0.548351 | 543 | 4,519 | 4.381215 | 0.290976 | 0.033628 | 0.028583 | 0.020177 | 0.18243 | 0.103405 | 0.074821 | 0.074821 | 0.039512 | 0.039512 | 0 | 0.015873 | 0.344767 | 4,519 | 147 | 108 | 30.741497 | 0.787572 | 0.139854 | 0 | 0.25 | 0 | 0 | 0.027048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0.008929 | 0.107143 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
793e3ac3dcb05f0d0810a86209b05739d4ea782a | 7,522 | py | Python | dictify.py | Dharma-Sagar/dictify | c76713feaf45670b245ed7e7feb894c12dffb9cd | [
"Apache-2.0"
] | null | null | null | dictify.py | Dharma-Sagar/dictify | c76713feaf45670b245ed7e7feb894c12dffb9cd | [
"Apache-2.0"
] | null | null | null | dictify.py | Dharma-Sagar/dictify | c76713feaf45670b245ed7e7feb894c12dffb9cd | [
"Apache-2.0"
] | null | null | null | from collections import defaultdict
from pathlib import Path
import re
import yaml
import json
from botok import Text
import pyewts
conv = pyewts.pyewts()
def dictify_text(string, is_split=False, selection_yaml='data/dictionaries/dict_cats.yaml', expandable=True, mode='en_bo'):
"""
takes segmented text and... | 37.237624 | 123 | 0.534964 | 961 | 7,522 | 4.083247 | 0.19667 | 0.030581 | 0.025229 | 0.022936 | 0.415647 | 0.33945 | 0.329766 | 0.309378 | 0.297146 | 0.261978 | 0 | 0.032476 | 0.312284 | 7,522 | 201 | 124 | 37.422886 | 0.724725 | 0.08309 | 0 | 0.35625 | 0 | 0.0125 | 0.119586 | 0.033251 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.04375 | 0 | 0.1375 | 0.01875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7013f89ddf7249cb8c21753c974a4e817c0eaa2 | 45,183 | py | Python | archetypal/schedule.py | brunomarct/archetypal | ce8daf4e18ef3ec92967e5d6837b392199caf83b | [
"MIT"
] | null | null | null | archetypal/schedule.py | brunomarct/archetypal | ce8daf4e18ef3ec92967e5d6837b392199caf83b | [
"MIT"
] | null | null | null | archetypal/schedule.py | brunomarct/archetypal | ce8daf4e18ef3ec92967e5d6837b392199caf83b | [
"MIT"
] | null | null | null | ################################################################################
# Module: schedule.py
# Description: Functions for handling conversion of EnergyPlus schedule objects
# License: MIT, see full license in LICENSE.txt
# Web: https://github.com/samuelduchesne/archetypal
#####################################... | 39.808811 | 100 | 0.535799 | 5,004 | 45,183 | 4.648281 | 0.107914 | 0.022872 | 0.013929 | 0.010834 | 0.404729 | 0.322141 | 0.278504 | 0.250301 | 0.208641 | 0.195873 | 0 | 0.00898 | 0.364164 | 45,183 | 1,134 | 101 | 39.843915 | 0.800654 | 0.136954 | 0 | 0.30413 | 0 | 0 | 0.065605 | 0.007126 | 0.002503 | 0 | 0 | 0 | 0 | 1 | 0.051314 | false | 0.002503 | 0.020025 | 0.005006 | 0.163955 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f704431757b191fd6a6405e1724d23679ca1b2f0 | 1,173 | py | Python | script/app/agg.py | Intelligent-Systems-Lab/ISL-BCFL | 42ceb86708a76e28b31c22b33c15ee9a6a745ec7 | [
"Apache-2.0"
] | null | null | null | script/app/agg.py | Intelligent-Systems-Lab/ISL-BCFL | 42ceb86708a76e28b31c22b33c15ee9a6a745ec7 | [
"Apache-2.0"
] | null | null | null | script/app/agg.py | Intelligent-Systems-Lab/ISL-BCFL | 42ceb86708a76e28b31c22b33c15ee9a6a745ec7 | [
"Apache-2.0"
] | null | null | null | import os
# import torch
import argparse
import base64
import sys
import io
import torch
import torch.nn as nn
from torchvision import transforms
from torch.utils.data import DataLoader
from torch.utils.data.sampler import SubsetRandomSampler
def fullmodel2base64(model):
buffer = io.BytesIO()
torch.save(mode... | 19.55 | 56 | 0.734868 | 171 | 1,173 | 4.877193 | 0.368421 | 0.076739 | 0.077938 | 0.043165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030488 | 0.161125 | 1,173 | 59 | 57 | 19.881356 | 0.817073 | 0.053708 | 0 | 0 | 0 | 0 | 0.001808 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.263158 | 0 | 0.368421 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f704c0f9b4488488f3aae9f679bb84275d8e52d4 | 11,405 | py | Python | src/core/src/core_logic/PackageFilter.py | Azure/LinuxPatchExtension | 6af622afb4298805bdf47328d6bc66a785f7166b | [
"Apache-2.0"
] | 4 | 2020-06-01T14:36:30.000Z | 2021-08-24T16:55:50.000Z | src/core/src/core_logic/PackageFilter.py | Azure/LinuxPatchExtension | 6af622afb4298805bdf47328d6bc66a785f7166b | [
"Apache-2.0"
] | 34 | 2020-09-11T17:20:42.000Z | 2022-03-28T14:08:44.000Z | src/core/src/core_logic/PackageFilter.py | Azure/LinuxPatchExtension | 6af622afb4298805bdf47328d6bc66a785f7166b | [
"Apache-2.0"
] | 1 | 2020-12-28T10:13:20.000Z | 2020-12-28T10:13:20.000Z | # Copyright 2020 Microsoft Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 65.924855 | 216 | 0.728979 | 1,360 | 11,405 | 5.826471 | 0.180882 | 0.068652 | 0.078748 | 0.088592 | 0.428319 | 0.363958 | 0.21315 | 0.162923 | 0.140333 | 0.103231 | 0 | 0.003834 | 0.199474 | 11,405 | 172 | 217 | 66.30814 | 0.864074 | 0.199825 | 0 | 0.137255 | 0 | 0.009804 | 0.082558 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.019608 | 0.029412 | 0.372549 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f70920a45d8b352e57cdd5c4ba4ed7a956b3f421 | 4,150 | py | Python | pyesgf/util.py | ggarcias/esgf-pyclient-cmip6 | 9e7975d2e676ed2c4001edb4e25c9c20cc16b7af | [
"BSD-3-Clause"
] | 17 | 2016-09-07T02:55:30.000Z | 2022-03-10T15:34:53.000Z | pyesgf/util.py | ggarcias/esgf-pyclient-cmip6 | 9e7975d2e676ed2c4001edb4e25c9c20cc16b7af | [
"BSD-3-Clause"
] | 61 | 2015-05-27T08:10:46.000Z | 2022-03-17T12:36:45.000Z | pyesgf/util.py | ggarcias/esgf-pyclient-cmip6 | 9e7975d2e676ed2c4001edb4e25c9c20cc16b7af | [
"BSD-3-Clause"
] | 22 | 2015-10-27T11:21:05.000Z | 2022-01-12T08:26:16.000Z | """
Utility functions using the pyesgf package.
"""
import sys
from urllib.parse import quote_plus
def ats_url(base_url):
"""
Return the URL for the ESGF SAML AttributeService
"""
# Strip '/' from url as necessary
base_url = base_url.rstrip('/')
return '/'.join([base_url,
... | 30.291971 | 78 | 0.576867 | 527 | 4,150 | 4.487666 | 0.373814 | 0.022833 | 0.015222 | 0.013953 | 0.055814 | 0.049894 | 0.016068 | 0 | 0 | 0 | 0 | 0.001091 | 0.337349 | 4,150 | 136 | 79 | 30.514706 | 0.858909 | 0.360482 | 0 | 0.176471 | 0 | 0 | 0.089511 | 0.018139 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073529 | false | 0 | 0.044118 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f709b6ad81d25a0c074deaa1308cf04158654f02 | 1,373 | py | Python | tests/book/ch05/classify_name.py | TITC/pyhanlp | ad062f358805da5bf97f78d9f37f441c06ae4d19 | [
"Apache-2.0"
] | null | null | null | tests/book/ch05/classify_name.py | TITC/pyhanlp | ad062f358805da5bf97f78d9f37f441c06ae4d19 | [
"Apache-2.0"
] | null | null | null | tests/book/ch05/classify_name.py | TITC/pyhanlp | ad062f358805da5bf97f78d9f37f441c06ae4d19 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# Author:hankcs
# Date: 2018-06-21 19:46
# 《自然语言处理入门》5.3 基于感知机的人名性别分类
# 配套书籍:http://nlp.hankcs.com/book.php
# 讨论答疑:https://bbs.hankcs.com/
import sys,os# environment, adjust the priority
sys.path.insert(0,os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))... | 38.138889 | 112 | 0.718864 | 174 | 1,373 | 5.528736 | 0.522989 | 0.043659 | 0.054054 | 0.06237 | 0.099792 | 0.060291 | 0.060291 | 0.060291 | 0.060291 | 0.060291 | 0 | 0.015651 | 0.115805 | 1,373 | 35 | 113 | 39.228571 | 0.776771 | 0.210488 | 0 | 0 | 0 | 0 | 0.187151 | 0.05959 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.190476 | 0.238095 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f70b82a64651b669501101e2383b4a201ac4b9ba | 5,305 | py | Python | tests/test_content_download.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | tests/test_content_download.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | tests/test_content_download.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import io
import os
import shutil
import tempfile
import unittest
from edo_client import WoClient
class ContentApi_DownloadTestCase(unittest.TestCase):
'''
- Basically this is to ensure
all the facilities related to HTTP range headers are working properly;
'''
@classmethod
... | 32.746914 | 106 | 0.590575 | 651 | 5,305 | 4.631336 | 0.256528 | 0.062023 | 0.0733 | 0.065672 | 0.452073 | 0.400995 | 0.383416 | 0.383416 | 0.362852 | 0.317413 | 0 | 0.031442 | 0.292554 | 5,305 | 161 | 107 | 32.950311 | 0.771916 | 0.076155 | 0 | 0.327869 | 0 | 0 | 0.119784 | 0 | 0 | 0 | 0 | 0 | 0.114754 | 1 | 0.122951 | false | 0 | 0.04918 | 0 | 0.180328 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f70ec64b9e31daafd1fb2f1ca0a900fb5ba86171 | 3,473 | py | Python | pyexcel_xls/xlsw.py | pyexcel/pyexcel-xls | 995cfd273d5360947a528ff3a1ed3f9e52a429ad | [
"BSD-3-Clause"
] | 40 | 2016-05-18T20:09:39.000Z | 2022-02-09T06:39:41.000Z | pyexcel_xls/xlsw.py | wenxuefeng3930/pyexcel-xls | 995cfd273d5360947a528ff3a1ed3f9e52a429ad | [
"BSD-3-Clause"
] | 46 | 2016-02-01T22:12:31.000Z | 2021-10-07T18:57:05.000Z | pyexcel_xls/xlsw.py | wenxuefeng3930/pyexcel-xls | 995cfd273d5360947a528ff3a1ed3f9e52a429ad | [
"BSD-3-Clause"
] | 24 | 2016-01-29T12:26:27.000Z | 2021-10-31T15:37:15.000Z | """
pyexcel_xlsw
~~~~~~~~~~~~~~~~~~~
The lower level xls file format handler using xlwt
:copyright: (c) 2016-2021 by Onni Software Ltd
:license: New BSD License
"""
import datetime
import xlrd
from xlwt import XFStyle, Workbook
from pyexcel_io import constants
from pyexcel_io.plugin_api import IW... | 31.008929 | 78 | 0.589692 | 397 | 3,473 | 4.879093 | 0.304786 | 0.028911 | 0.024781 | 0.041301 | 0.328343 | 0.223542 | 0.223542 | 0.186371 | 0.186371 | 0.109448 | 0 | 0.007676 | 0.324791 | 3,473 | 111 | 79 | 31.288288 | 0.818337 | 0.076303 | 0 | 0.103896 | 0 | 0 | 0.02674 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0.012987 | 0.064935 | 0.012987 | 0.194805 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f70fbb21c94acb9d07d8e2e1ca75454e92d0eaf5 | 28,076 | py | Python | game_client.py | wenlianglaw/Tetris-in-Python | d4f0a22c4827e7eeb44c55def3f024e0c6932ebe | [
"MIT"
] | 1 | 2021-06-25T20:43:19.000Z | 2021-06-25T20:43:19.000Z | game_client.py | wenlianglaw/Tetris-in-Python | d4f0a22c4827e7eeb44c55def3f024e0c6932ebe | [
"MIT"
] | null | null | null | game_client.py | wenlianglaw/Tetris-in-Python | d4f0a22c4827e7eeb44c55def3f024e0c6932ebe | [
"MIT"
] | null | null | null | # This file defines the back end of the Tetris game
#
# GameState is the base class of GameClient.
#
# GameClient.Run() will start two threads:
# - _ProcessActions: Process the action list every x seconds
# - _AutoDrop: Auto drops the current piece.
#
# GameClient:
# - current piece
# - held piece
# - piece list... | 32.799065 | 123 | 0.63036 | 4,075 | 28,076 | 4.169816 | 0.135706 | 0.00871 | 0.007415 | 0.004944 | 0.371822 | 0.274482 | 0.209216 | 0.18291 | 0.155132 | 0.1506 | 0 | 0.051512 | 0.241487 | 28,076 | 855 | 124 | 32.837427 | 0.746384 | 0.21538 | 0 | 0.285959 | 0 | 0 | 0.023542 | 0.001016 | 0 | 0 | 0 | 0.00117 | 0.001712 | 1 | 0.07363 | false | 0 | 0.015411 | 0.001712 | 0.145548 | 0.017123 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f712616c7f9dabddbf70b11e2c6cc653c11f9e33 | 1,931 | py | Python | cas9/score.py | cangtu/cot | 2ecbe83fe7bb3538f80692fc4412830f6c976558 | [
"MIT"
] | 1 | 2018-07-11T06:12:51.000Z | 2018-07-11T06:12:51.000Z | cas9/score.py | cangtu/cot | 2ecbe83fe7bb3538f80692fc4412830f6c976558 | [
"MIT"
] | null | null | null | cas9/score.py | cangtu/cot | 2ecbe83fe7bb3538f80692fc4412830f6c976558 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright @ 0x6c78.
#
# 16-10-20 下午1:27 0x6c78@gmail.com
#
# Distributed under terms of the MIT License
from operator import mul
from itertools import combinations
class Score(object):
def __init__(self):
"""
张峰实验室通过实验获得的每个位置错配的特异性,具体参考网页:
http://crispr.mit.edu/... | 26.094595 | 88 | 0.518384 | 242 | 1,931 | 4.033058 | 0.458678 | 0.010246 | 0.027664 | 0.036885 | 0.04918 | 0.04918 | 0 | 0 | 0 | 0 | 0 | 0.103886 | 0.34697 | 1,931 | 73 | 89 | 26.452055 | 0.670103 | 0.22579 | 0 | 0.111111 | 0 | 0 | 0.000755 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.055556 | 0 | 0.472222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f714e5ccca4b369e0fbd09fb0a4e6218788b9ed7 | 3,513 | py | Python | google_or_tools/coloring_ip_sat.py | tias/hakank | 87b7f180c9393afce440864eb9e5fb119bdec1a4 | [
"MIT"
] | 279 | 2015-01-10T09:55:35.000Z | 2022-03-28T02:34:03.000Z | google_or_tools/coloring_ip_sat.py | tias/hakank | 87b7f180c9393afce440864eb9e5fb119bdec1a4 | [
"MIT"
] | 10 | 2017-10-05T15:48:50.000Z | 2021-09-20T12:06:52.000Z | google_or_tools/coloring_ip_sat.py | tias/hakank | 87b7f180c9393afce440864eb9e5fb119bdec1a4 | [
"MIT"
] | 83 | 2015-01-20T03:44:00.000Z | 2022-03-13T23:53:06.000Z | # Copyright 2021 Hakan Kjellerstrand hakank@gmail.com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | 27.232558 | 78 | 0.63507 | 588 | 3,513 | 3.751701 | 0.369048 | 0.022212 | 0.024479 | 0.010879 | 0.067543 | 0.012693 | 0 | 0 | 0 | 0 | 0 | 0.029834 | 0.227156 | 3,513 | 128 | 79 | 27.445313 | 0.782689 | 0.545403 | 0 | 0.162791 | 0 | 0 | 0.06917 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.069767 | 0 | 0.093023 | 0.255814 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f715d5acbe3a069259390dee428b7666dca26c08 | 9,706 | py | Python | src/intermediate_representation/sem_utils.py | ckosten/ValueNet4SPARQL | de320a2f0e1a4c5a6c0e5cc79057dda9901046e8 | [
"Apache-2.0"
] | null | null | null | src/intermediate_representation/sem_utils.py | ckosten/ValueNet4SPARQL | de320a2f0e1a4c5a6c0e5cc79057dda9901046e8 | [
"Apache-2.0"
] | null | null | null | src/intermediate_representation/sem_utils.py | ckosten/ValueNet4SPARQL | de320a2f0e1a4c5a6c0e5cc79057dda9901046e8 | [
"Apache-2.0"
] | 1 | 2021-09-23T13:02:45.000Z | 2021-09-23T13:02:45.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# -*- coding: utf-8 -*-
"""
# @Time : 2019/5/27
# @Author : Jiaqi&Zecheng
# @File : sem_utils.py
# @Software: PyCharm
"""
import os
import json
import re as regex
import spacy
from nltk.stem import WordNetLemmatizer
wordnet_lemmatizer =... | 46.888889 | 117 | 0.474861 | 1,111 | 9,706 | 3.909091 | 0.138614 | 0.108911 | 0.058715 | 0.037301 | 0.594059 | 0.545475 | 0.516694 | 0.506102 | 0.482155 | 0.465577 | 0 | 0.010776 | 0.426334 | 9,706 | 206 | 118 | 47.116505 | 0.769217 | 0.062023 | 0 | 0.419753 | 0 | 0 | 0.065843 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0.024691 | 0.030864 | 0 | 0.141975 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f71a808666b13ce290442e22bb59d1788d36b370 | 1,950 | py | Python | tools/find_run_binary.py | pospx/external_skia | 7a135275c9fc2a4b3cbdcf9a96e7102724752234 | [
"BSD-3-Clause"
] | 6,304 | 2015-01-05T23:45:12.000Z | 2022-03-31T09:48:13.000Z | third_party/skia/tools/find_run_binary.py | w4454962/miniblink49 | b294b6eacb3333659bf7b94d670d96edeeba14c0 | [
"Apache-2.0"
] | 459 | 2016-09-29T00:51:38.000Z | 2022-03-07T14:37:46.000Z | third_party/skia/tools/find_run_binary.py | w4454962/miniblink49 | b294b6eacb3333659bf7b94d670d96edeeba14c0 | [
"Apache-2.0"
] | 1,231 | 2015-01-05T03:17:39.000Z | 2022-03-31T22:54:58.000Z | #!/usr/bin/python
# Copyright (c) 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Module that finds and runs a binary by looking in the likely locations."""
import os
import subprocess
import sys
def run_comman... | 31.451613 | 77 | 0.615385 | 259 | 1,950 | 4.555985 | 0.405405 | 0.040678 | 0.042373 | 0.050847 | 0.118644 | 0.118644 | 0.118644 | 0.118644 | 0 | 0 | 0 | 0.004295 | 0.28359 | 1,950 | 61 | 78 | 31.967213 | 0.840372 | 0.398462 | 0 | 0 | 0 | 0 | 0.108831 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.12 | 0 | 0.28 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f71c77d1c0f627d4c0d8120689ae89c7e1a43d86 | 2,577 | py | Python | agogosml_cli/cli/templates/{{cookiecutter.PROJECT_NAME_SLUG}}/e2e/testgen/main.py | cicorias/agogosml | 60e0b52c2fc721bdd965aadaf8c1afd1ddb9b7d1 | [
"MIT"
] | 13 | 2018-12-07T21:02:20.000Z | 2019-02-22T14:36:31.000Z | agogosml_cli/cli/templates/{{cookiecutter.PROJECT_NAME_SLUG}}/e2e/testgen/main.py | cicorias/agogosml | 60e0b52c2fc721bdd965aadaf8c1afd1ddb9b7d1 | [
"MIT"
] | 43 | 2018-11-30T11:31:43.000Z | 2019-04-03T16:09:06.000Z | agogosml_cli/cli/templates/{{cookiecutter.PROJECT_NAME_SLUG}}/e2e/testgen/main.py | cicorias/agogosml | 60e0b52c2fc721bdd965aadaf8c1afd1ddb9b7d1 | [
"MIT"
] | 13 | 2018-11-29T00:31:29.000Z | 2019-02-22T18:50:28.000Z | import json
import os
import sys
import time
from agogosml.common.abstract_streaming_client import find_streaming_clients
from agogosml.tools.sender import send
from agogosml.tools.receiver import receive
eh_base_config = {
"EVENT_HUB_NAMESPACE": os.getenv("EVENT_HUB_NAMESPACE"),
"EVENT_HUB_NAME": os.getenv("... | 28.955056 | 109 | 0.73962 | 355 | 2,577 | 4.915493 | 0.264789 | 0.077937 | 0.037249 | 0.045845 | 0.27106 | 0.225788 | 0.169628 | 0.05043 | 0 | 0 | 0 | 0.003618 | 0.142026 | 2,577 | 88 | 110 | 29.284091 | 0.785617 | 0.033372 | 0 | 0.0625 | 0 | 0 | 0.279341 | 0.111736 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046875 | false | 0 | 0.109375 | 0 | 0.171875 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f71c9a76519602baf175d90363655dc76c65ea28 | 512 | py | Python | MobileRevelator/python/postbank_finanzassistent_decrypt.py | ohunecker/MR | b0c93436c7964d87a0b8154f8b7662b1731124b9 | [
"MIT"
] | 98 | 2019-02-03T22:50:24.000Z | 2022-03-17T12:50:56.000Z | MobileRevelator/python/postbank_finanzassistent_decrypt.py | cewatkins/MR | 5ba553fd0eb4c1d80842074a553119486f005822 | [
"MIT"
] | 10 | 2019-03-14T20:12:10.000Z | 2020-05-23T10:37:54.000Z | MobileRevelator/python/postbank_finanzassistent_decrypt.py | cewatkins/MR | 5ba553fd0eb4c1d80842074a553119486f005822 | [
"MIT"
] | 30 | 2019-02-03T22:50:27.000Z | 2022-03-30T12:37:30.000Z | #Filename="finanzassistent"
#Type=Prerun
import os
def main():
ctx.gui_setMainLabel("Postbank Finanzassistent: Extracting key");
error=""
dbkey="73839EC3A528910B235859947CC8424543D7B686"
ctx.gui_setMainLabel("Postbank: Key extracted: " + dbkey)
if not (ctx.fs_sqlcipher_decrypt(filename, ... | 34.133333 | 78 | 0.6875 | 51 | 512 | 6.823529 | 0.607843 | 0.034483 | 0.103448 | 0.149425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07767 | 0.195313 | 512 | 15 | 79 | 34.133333 | 0.76699 | 0.072266 | 0 | 0 | 0 | 0 | 0.436957 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 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 |
f71d87a97f28b6912c291299e2155b00941ed654 | 1,615 | py | Python | imcsdk/__init__.py | kenrusse/imcsdk | c35ec5d41072c3ea82c64b1b66e0650d1d873657 | [
"Apache-2.0"
] | null | null | null | imcsdk/__init__.py | kenrusse/imcsdk | c35ec5d41072c3ea82c64b1b66e0650d1d873657 | [
"Apache-2.0"
] | null | null | null | imcsdk/__init__.py | kenrusse/imcsdk | c35ec5d41072c3ea82c64b1b66e0650d1d873657 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Cisco Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 26.47541 | 92 | 0.721981 | 220 | 1,615 | 5.177273 | 0.545455 | 0.052678 | 0.03863 | 0.028095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017385 | 0.180805 | 1,615 | 60 | 93 | 26.916667 | 0.843537 | 0.491022 | 0 | 0 | 0 | 0 | 0.158585 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.136364 | 0 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f71d9c7d4d1edc3d1f3f51bfea2e872d5c549f44 | 1,047 | py | Python | 64-minimum-path-sum/64-minimum-path-sum.py | jurayev/data-structures-algorithms-solutions | 7103294bafb60117fc77efe4913edcffbeb1ac7a | [
"MIT"
] | null | null | null | 64-minimum-path-sum/64-minimum-path-sum.py | jurayev/data-structures-algorithms-solutions | 7103294bafb60117fc77efe4913edcffbeb1ac7a | [
"MIT"
] | null | null | null | 64-minimum-path-sum/64-minimum-path-sum.py | jurayev/data-structures-algorithms-solutions | 7103294bafb60117fc77efe4913edcffbeb1ac7a | [
"MIT"
] | null | null | null | class Solution:
def minPathSum(self, grid: List[List[int]]) -> int:
"""
[1,3,1]
[1,5,1]
[4,2,1]
time O (nm)
space O(nm)
state -> sums[r][c] = min path sum till r, c position
initial state -> sums[0][0…cols] = inf
-> sums... | 31.727273 | 84 | 0.455587 | 169 | 1,047 | 2.846154 | 0.284024 | 0.033264 | 0.049896 | 0.037422 | 0.033264 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053272 | 0.372493 | 1,047 | 32 | 85 | 32.71875 | 0.660578 | 0.284623 | 0 | 0 | 0 | 0 | 0.004658 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f71f18898c8292f215084d67a0492fc48f5a9d6c | 8,974 | py | Python | main.py | PabloEmidio/Know-Weather-GTK | 797f25cbd0c8e1a2f124a5328d9decf2f3829252 | [
"MIT"
] | 4 | 2021-05-06T02:07:02.000Z | 2021-05-06T17:48:08.000Z | main.py | PabloEmidio/Know-Weather-GTK | 797f25cbd0c8e1a2f124a5328d9decf2f3829252 | [
"MIT"
] | null | null | null | main.py | PabloEmidio/Know-Weather-GTK | 797f25cbd0c8e1a2f124a5328d9decf2f3829252 | [
"MIT"
] | null | null | null | import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
from datetime import datetime
from api_request import Weather
builder = Gtk.Builder()
builder.add_from_file('./glade/main.glade')
class Handler:
def __init__(self, *args, **kwargs):
super(Handler, self).__init__(*args, **kwargs... | 53.736527 | 131 | 0.622131 | 1,223 | 8,974 | 4.176615 | 0.098937 | 0.078309 | 0.119029 | 0.078309 | 0.656421 | 0.516445 | 0.38332 | 0.306382 | 0.28289 | 0.238841 | 0 | 0.021789 | 0.222643 | 8,974 | 167 | 132 | 53.736527 | 0.710292 | 0.008803 | 0 | 0.069231 | 0 | 0 | 0.165167 | 0.031097 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030769 | false | 0 | 0.038462 | 0.007692 | 0.084615 | 0.007692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f71f497fb7582513c2d45b7633de0c7c9d7f7303 | 3,186 | py | Python | talk_lib/tests/testtalk.py | allankellynet/mimas | 10025d43bba9e84f502a266760786842e7158a05 | [
"MIT"
] | null | null | null | talk_lib/tests/testtalk.py | allankellynet/mimas | 10025d43bba9e84f502a266760786842e7158a05 | [
"MIT"
] | 1 | 2020-02-05T13:00:29.000Z | 2020-02-05T13:00:29.000Z | talk_lib/tests/testtalk.py | allankellynet/mimas | 10025d43bba9e84f502a266760786842e7158a05 | [
"MIT"
] | null | null | null | #-----------------------------------------------------
# Mimas: conference submission and review system
# (c) Allan Kelly 2016-2020 http://www.allankelly.net
# Licensed under MIT License, see LICENSE file
# -----------------------------------------------------
import unittest
from google.appengine.ext import testbed
... | 29.775701 | 73 | 0.605775 | 402 | 3,186 | 4.606965 | 0.243781 | 0.103672 | 0.071814 | 0.059395 | 0.62959 | 0.589633 | 0.571274 | 0.545896 | 0.507559 | 0.507559 | 0 | 0.032753 | 0.242938 | 3,186 | 106 | 74 | 30.056604 | 0.735075 | 0.078782 | 0 | 0.576923 | 0 | 0 | 0.060068 | 0 | 0 | 0 | 0 | 0 | 0.192308 | 1 | 0.102564 | false | 0 | 0.051282 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f725220f95e7ed6a18489ee1563dd48ce5f224d6 | 2,985 | py | Python | solutions/day18.py | nitekat1124/advent-of-code-2021 | 74501b84f0a08b33f48b4e5a2d66b8293c854150 | [
"WTFPL"
] | 3 | 2021-12-22T17:44:39.000Z | 2022-01-14T17:18:15.000Z | solutions/day18.py | nitekat1124/advent-of-code-2021 | 74501b84f0a08b33f48b4e5a2d66b8293c854150 | [
"WTFPL"
] | null | null | null | solutions/day18.py | nitekat1124/advent-of-code-2021 | 74501b84f0a08b33f48b4e5a2d66b8293c854150 | [
"WTFPL"
] | null | null | null | import re
from itertools import combinations
from utils.solution_base import SolutionBase
class Solution(SolutionBase):
def solve(self, part_num: int):
self.test_runner(part_num)
func = getattr(self, f"part{part_num}")
result = func(self.data)
return result
def test_runner(s... | 34.310345 | 114 | 0.524958 | 402 | 2,985 | 3.728856 | 0.221393 | 0.028019 | 0.012008 | 0.022015 | 0.116077 | 0.066711 | 0.066711 | 0 | 0 | 0 | 0 | 0.014199 | 0.339363 | 2,985 | 86 | 115 | 34.709302 | 0.745943 | 0.004355 | 0 | 0.058824 | 0 | 0 | 0.055237 | 0.008757 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102941 | false | 0.029412 | 0.044118 | 0.014706 | 0.264706 | 0.073529 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f725e0913b22178375a220d288839fa6706545f3 | 520 | py | Python | backend/utils/management/commands/generate_dummy_skills.py | NumanIbnMazid/numanibnmazid.com | 905e3afab285316d88bafa30dc080dfbb0611731 | [
"MIT"
] | 1 | 2022-01-28T18:20:19.000Z | 2022-01-28T18:20:19.000Z | backend/utils/management/commands/generate_dummy_skills.py | NumanIbnMazid/numanibnmazid.com | 905e3afab285316d88bafa30dc080dfbb0611731 | [
"MIT"
] | null | null | null | backend/utils/management/commands/generate_dummy_skills.py | NumanIbnMazid/numanibnmazid.com | 905e3afab285316d88bafa30dc080dfbb0611731 | [
"MIT"
] | null | null | null | from portfolios.factories.skill_factory import create_skills_with_factory
from django.db import transaction
from django.core.management.base import BaseCommand
class Command(BaseCommand):
help = "Generates dummy data"
def _generate_dummy_data(self):
# Create dummy data
create_skills_with_fact... | 26 | 73 | 0.698077 | 62 | 520 | 5.580645 | 0.564516 | 0.104046 | 0.092486 | 0.132948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002513 | 0.234615 | 520 | 19 | 74 | 27.368421 | 0.866834 | 0.059615 | 0 | 0 | 0 | 0 | 0.041152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.230769 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f728ea2eb644fbcc81d1cbb2f7e623c7f87f0380 | 834 | py | Python | src/bokeh_app/graph_view.py | avbatchelor/insight-articles-project | 852b338b786cb5b9c281fcec2e378aed8d3dc617 | [
"MIT"
] | null | null | null | src/bokeh_app/graph_view.py | avbatchelor/insight-articles-project | 852b338b786cb5b9c281fcec2e378aed8d3dc617 | [
"MIT"
] | null | null | null | src/bokeh_app/graph_view.py | avbatchelor/insight-articles-project | 852b338b786cb5b9c281fcec2e378aed8d3dc617 | [
"MIT"
] | null | null | null | import networkx as nx
import pickle
from bokeh.io import show, output_file
from bokeh.plotting import figure
from bokeh.models.graphs import from_networkx
processed_data_folder = 'C:\\Users\\Alex\\Documents\\GitHub\\insight-articles-project\\data\\processed\\'
filename = processed_data_folder + 'graph_and_labels'
wi... | 29.785714 | 105 | 0.758993 | 136 | 834 | 4.455882 | 0.507353 | 0.013201 | 0.062706 | 0.026403 | 0.029703 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017356 | 0.101918 | 834 | 28 | 106 | 29.785714 | 0.791722 | 0 | 0 | 0 | 0 | 0 | 0.159281 | 0.094611 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f72b30581d8ef30df8d3b88fde755c65a6390087 | 15,737 | py | Python | dssm/data_input.py | nlpming/tensorflow-DSMM | dc982cc49bf03f474da2895e4dd4fb37061c0271 | [
"MIT"
] | null | null | null | dssm/data_input.py | nlpming/tensorflow-DSMM | dc982cc49bf03f474da2895e4dd4fb37061c0271 | [
"MIT"
] | null | null | null | dssm/data_input.py | nlpming/tensorflow-DSMM | dc982cc49bf03f474da2895e4dd4fb37061c0271 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding=utf-8
from inspect import getblock
import json
import os
from os import read
from numpy.core.fromnumeric import mean
import numpy as np
import paddlehub as hub
import six
import math
import random
import sys
from util import read_file
from config import Config
# 配置文件
conf = Config()
c... | 37.20331 | 129 | 0.599797 | 2,252 | 15,737 | 3.920959 | 0.12167 | 0.016988 | 0.015855 | 0.020612 | 0.584258 | 0.524236 | 0.450849 | 0.416535 | 0.397848 | 0.338052 | 0 | 0.028885 | 0.282837 | 15,737 | 422 | 130 | 37.291469 | 0.7535 | 0.093665 | 0 | 0.443114 | 0 | 0 | 0.035267 | 0.005191 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077844 | false | 0.01497 | 0.038922 | 0.002994 | 0.200599 | 0.023952 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f72d8677c20fa3e3a54169d4eb48cb7ca7458055 | 11,575 | py | Python | OneSpanAnalysis_Mdl.py | Ivanfdezr/CentralSoftware | 8681fedd4814dc60deb527a370411350b40c994c | [
"MIT"
] | null | null | null | OneSpanAnalysis_Mdl.py | Ivanfdezr/CentralSoftware | 8681fedd4814dc60deb527a370411350b40c994c | [
"MIT"
] | 44 | 2021-02-10T23:58:28.000Z | 2021-12-14T02:38:21.000Z | OneSpanAnalysis_Mdl.py | Ivanfdezr/CentralSoftware | 8681fedd4814dc60deb527a370411350b40c994c | [
"MIT"
] | null | null | null | import numpy as np
import numpy.linalg as la
from MdlUtilities import Field, FieldList
import MdlUtilities as mdl
def get_osaCasing_fields():
OD = Field(2030)
ID = Field(2031)
Weight = Field(2032)
Density = Field(2039)
E = Field(2040)
osaCasing_fields = FieldList()
osaCasing_... | 35.506135 | 149 | 0.723629 | 1,560 | 11,575 | 5.237821 | 0.18141 | 0.078326 | 0.058744 | 0.028638 | 0.163016 | 0.101212 | 0.05238 | 0.040632 | 0.040632 | 0.040632 | 0 | 0.032703 | 0.154644 | 11,575 | 325 | 150 | 35.615385 | 0.802351 | 0.070929 | 0 | 0.044 | 0 | 0 | 0.076975 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024 | false | 0 | 0.016 | 0 | 0.064 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7300289bf48754135726dad8a8c684a9ab7d495 | 14,855 | py | Python | queryable_properties/managers.py | W1ldPo1nter/django-queryable-properties | 9bb4ecb4fbdd7a9e0f610f937c8101a643027fb1 | [
"BSD-3-Clause"
] | 36 | 2019-10-22T11:44:37.000Z | 2022-03-15T21:27:03.000Z | queryable_properties/managers.py | W1ldPo1nter/django-queryable-properties | 9bb4ecb4fbdd7a9e0f610f937c8101a643027fb1 | [
"BSD-3-Clause"
] | 6 | 2020-10-03T15:13:26.000Z | 2021-09-25T14:05:50.000Z | queryable_properties/managers.py | W1ldPo1nter/django-queryable-properties | 9bb4ecb4fbdd7a9e0f610f937c8101a643027fb1 | [
"BSD-3-Clause"
] | 3 | 2021-04-26T08:30:46.000Z | 2021-08-18T09:04:49.000Z | # encoding: utf-8
from __future__ import unicode_literals
import six
from django.db.models import Manager
from django.db.models.query import QuerySet
from .compat import (ANNOTATION_SELECT_CACHE_NAME, ANNOTATION_TO_AGGREGATE_ATTRIBUTES_MAP, chain_query, chain_queryset,
ModelIterable, ValuesQuery... | 51.401384 | 120 | 0.671289 | 1,708 | 14,855 | 5.693794 | 0.20726 | 0.041028 | 0.008638 | 0.004936 | 0.085758 | 0.042159 | 0.042159 | 0.034756 | 0.027764 | 0.027764 | 0 | 0.000093 | 0.276675 | 14,855 | 288 | 121 | 51.579861 | 0.904979 | 0.441468 | 0 | 0.065574 | 0 | 0 | 0.052652 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106557 | false | 0.016393 | 0.07377 | 0.016393 | 0.303279 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f730db018b5a100d3b9690cd2c3518425836dcfb | 2,353 | py | Python | setup.py | wdv4758h/rsglob | 342f950c240b5d84c629ecf4fec348401975d2ba | [
"BSD-2-Clause"
] | null | null | null | setup.py | wdv4758h/rsglob | 342f950c240b5d84c629ecf4fec348401975d2ba | [
"BSD-2-Clause"
] | null | null | null | setup.py | wdv4758h/rsglob | 342f950c240b5d84c629ecf4fec348401975d2ba | [
"BSD-2-Clause"
] | null | null | null | import os
import sys
from setuptools import find_packages, setup, Extension
try: # for pip >= 10
from pip._internal.req import parse_requirements
except ImportError:
from pip.req import parse_requirements
try:
from setuptools_rust import RustExtension
except ImportError:
import subprocess
errno... | 30.960526 | 83 | 0.677008 | 263 | 2,353 | 5.908745 | 0.463878 | 0.085586 | 0.112613 | 0.066924 | 0.087516 | 0.039897 | 0 | 0 | 0 | 0 | 0 | 0.015426 | 0.20102 | 2,353 | 75 | 84 | 31.373333 | 0.81117 | 0.106247 | 0 | 0.101695 | 0 | 0 | 0.27958 | 0.020515 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016949 | false | 0 | 0.186441 | 0 | 0.220339 | 0.016949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f73176b9df2d9d3e6551836091e9a8f8bdc64a68 | 9,041 | py | Python | src/pyrobot/habitat/base.py | cihuang123/pyrobot | fe620097e31d11453b5ea7ac15e40f5f5721b29a | [
"MIT"
] | 2,150 | 2019-06-12T20:55:41.000Z | 2022-03-21T07:14:51.000Z | src/pyrobot/habitat/base.py | cihuang123/pyrobot | fe620097e31d11453b5ea7ac15e40f5f5721b29a | [
"MIT"
] | 124 | 2019-06-22T17:12:27.000Z | 2022-02-26T11:43:13.000Z | src/pyrobot/habitat/base.py | cihuang123/pyrobot | fe620097e31d11453b5ea7ac15e40f5f5721b29a | [
"MIT"
] | 329 | 2019-06-13T03:03:54.000Z | 2022-03-30T07:04:55.000Z | import numpy as np
import math
import pyrobot.utils.util as prutil
import rospy
import habitat_sim.agent as habAgent
import habitat_sim.utils as habUtils
from habitat_sim.agent.controls import ActuationSpec
import habitat_sim.errors
import quaternion
from tf.transformations import euler_from_quaternion, euler_from_mat... | 36.603239 | 93 | 0.623825 | 1,223 | 9,041 | 4.433361 | 0.204415 | 0.025821 | 0.009959 | 0.014386 | 0.440428 | 0.421985 | 0.385835 | 0.380302 | 0.328108 | 0.328108 | 0 | 0.008788 | 0.295211 | 9,041 | 246 | 94 | 36.752033 | 0.842122 | 0.321978 | 0 | 0.346154 | 0 | 0 | 0.112653 | 0 | 0 | 0 | 0 | 0 | 0.007692 | 1 | 0.092308 | false | 0 | 0.076923 | 0.015385 | 0.276923 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7356fdd90f419efa0300e27fdfd55d90e10cc07 | 2,897 | py | Python | nanpy/bmp180.py | AFTC-1/Arduino-rpi | c46079f937d7e07cc0a930cc7ae278036f50a47d | [
"MIT"
] | 178 | 2015-01-03T11:56:49.000Z | 2021-12-23T14:47:55.000Z | nanpy/bmp180.py | AFTC-1/Arduino-rpi | c46079f937d7e07cc0a930cc7ae278036f50a47d | [
"MIT"
] | 88 | 2015-01-23T09:06:43.000Z | 2021-12-26T19:58:51.000Z | nanpy/bmp180.py | AFTC-1/Arduino-rpi | c46079f937d7e07cc0a930cc7ae278036f50a47d | [
"MIT"
] | 77 | 2015-02-18T17:26:11.000Z | 2021-09-28T02:47:25.000Z | from __future__ import division
import logging
from nanpy.i2c import I2C_Master
from nanpy.memo import memoized
import time
log = logging.getLogger(__name__)
def to_s16(n):
return (n + 2 ** 15) % 2 ** 16 - 2 ** 15
class Bmp180(object):
"""Control of BMP180 Digital pressure sensor (I2C)
calculation i... | 24.550847 | 67 | 0.491543 | 377 | 2,897 | 3.67374 | 0.31565 | 0.047653 | 0.038989 | 0.021661 | 0.103971 | 0.103971 | 0 | 0 | 0 | 0 | 0 | 0.113166 | 0.365551 | 2,897 | 117 | 68 | 24.760684 | 0.64037 | 0.05523 | 0 | 0.02439 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015666 | 0 | 0 | 1 | 0.134146 | false | 0 | 0.060976 | 0.04878 | 0.317073 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f738260086ccd3653bc2367e7b8083819a301d9b | 1,807 | py | Python | preprocessing/metadata.py | skincare-deep-learning/Skincare-backend | 80ed6b7a735291848be9248035231fbd55c93990 | [
"Apache-2.0"
] | 1 | 2019-11-27T20:56:27.000Z | 2019-11-27T20:56:27.000Z | preprocessing/metadata.py | skincare-deep-learning/Skincare-backend | 80ed6b7a735291848be9248035231fbd55c93990 | [
"Apache-2.0"
] | 10 | 2021-04-02T19:47:15.000Z | 2022-01-13T01:52:53.000Z | preprocessing/metadata.py | skincare-deep-learning/Skincare-backend | 80ed6b7a735291848be9248035231fbd55c93990 | [
"Apache-2.0"
] | null | null | null | import json
import csv
import pandas as pd
from isic_api import ISICApi
from pandas.io.json import json_normalize
# Initialize the API; no login is necessary for public data
api = ISICApi(username="SkinCare", password="unbdeeplearning")
outputFileName = 'imagedata'
imageList = api.getJson('image?limit=25000&offset=0&... | 30.627119 | 110 | 0.672939 | 205 | 1,807 | 5.868293 | 0.429268 | 0.0399 | 0.042394 | 0.032419 | 0.119701 | 0.071488 | 0.071488 | 0.071488 | 0.071488 | 0 | 0 | 0.008312 | 0.134477 | 1,807 | 59 | 111 | 30.627119 | 0.76087 | 0.15772 | 0 | 0 | 0 | 0 | 0.187556 | 0.032 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.033333 | 0.166667 | 0 | 0.166667 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f73a4d22041854c5326afaffc36927b22884b07a | 5,370 | py | Python | workers/test/test_exportactionlogsworker.py | kwestpharedhat/quay | a0df895005bcd3e53847046f69f6a7add87c88fd | [
"Apache-2.0"
] | null | null | null | workers/test/test_exportactionlogsworker.py | kwestpharedhat/quay | a0df895005bcd3e53847046f69f6a7add87c88fd | [
"Apache-2.0"
] | null | null | null | workers/test/test_exportactionlogsworker.py | kwestpharedhat/quay | a0df895005bcd3e53847046f69f6a7add87c88fd | [
"Apache-2.0"
] | null | null | null | import json
import os
import pytest
from datetime import datetime, timedelta
import boto3
from httmock import urlmatch, HTTMock
from moto import mock_s3
from app import storage as test_storage
from data import model, database
from data.logs_model import logs_model
from storage import S3Storage, StorageContext, Dist... | 30.338983 | 97 | 0.58324 | 570 | 5,370 | 5.294737 | 0.284211 | 0.020875 | 0.025845 | 0.022531 | 0.4334 | 0.422797 | 0.410205 | 0.410205 | 0.373757 | 0.373757 | 0 | 0.015819 | 0.293669 | 5,370 | 176 | 98 | 30.511364 | 0.779858 | 0.024953 | 0 | 0.395683 | 0 | 0 | 0.174536 | 0 | 0 | 0 | 0 | 0 | 0.064748 | 1 | 0.05036 | false | 0.014388 | 0.093525 | 0.014388 | 0.172662 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f73c025048313646ffa657c41d4c35ef79bc7325 | 6,699 | py | Python | pageplot/plotmodel.py | JBorrow/pageplot | 8abad574fda476d26a59fc8b7d36da2838f2c11e | [
"MIT"
] | null | null | null | pageplot/plotmodel.py | JBorrow/pageplot | 8abad574fda476d26a59fc8b7d36da2838f2c11e | [
"MIT"
] | null | null | null | pageplot/plotmodel.py | JBorrow/pageplot | 8abad574fda476d26a59fc8b7d36da2838f2c11e | [
"MIT"
] | null | null | null | """
The base top-level plot model class.
From this all data and plotting flow.
"""
from pageplot.exceptions import PagePlotParserError
from pathlib import Path
from typing import Any, Optional, Dict, List, Union
from pageplot.extensionmodel import PlotExtension
from pageplot.extensions import built_in_extensions
fro... | 29.641593 | 86 | 0.618749 | 821 | 6,699 | 4.980512 | 0.285018 | 0.015407 | 0.027391 | 0.01663 | 0.095622 | 0.076547 | 0.057471 | 0.050868 | 0 | 0 | 0 | 0.001915 | 0.298403 | 6,699 | 225 | 87 | 29.773333 | 0.868085 | 0.403792 | 0 | 0.05618 | 0 | 0 | 0.022605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078652 | false | 0 | 0.134831 | 0 | 0.438202 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f73d133f1804d0833d771530b775e1da1e558e30 | 853 | py | Python | src.py | duldiev/Assignment-2-Scrapping | a9dbb4bb14b7fe0a1c5ec6eba73491008ff8da52 | [
"MIT"
] | null | null | null | src.py | duldiev/Assignment-2-Scrapping | a9dbb4bb14b7fe0a1c5ec6eba73491008ff8da52 | [
"MIT"
] | null | null | null | src.py | duldiev/Assignment-2-Scrapping | a9dbb4bb14b7fe0a1c5ec6eba73491008ff8da52 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup as soup
from selenium import webdriver
class Scrapper:
def getArticles(self, cryptoName):
url = 'https://coinmarketcap.com/currencies/' + cryptoName + '/news/'
driver = webdriver.Firefox()
driver.get(url)
page = driver.page_source
page_soup = ... | 38.772727 | 110 | 0.588511 | 100 | 853 | 4.98 | 0.57 | 0.048193 | 0.060241 | 0.044177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019787 | 0.229777 | 853 | 22 | 111 | 38.772727 | 0.738204 | 0 | 0 | 0.117647 | 0 | 0 | 0.188525 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.117647 | 0 | 0.235294 | 0.294118 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f73dddf470763349a7f01540ff083d75743566dd | 19,409 | py | Python | qsubm.py | mark-caprio/mcscript | 7a5a69667857f27b8f2d2f9387b90301bc321df2 | [
"MIT"
] | 1 | 2017-05-30T20:45:24.000Z | 2017-05-30T20:45:24.000Z | qsubm.py | mark-caprio/mcscript | 7a5a69667857f27b8f2d2f9387b90301bc321df2 | [
"MIT"
] | 3 | 2020-06-15T16:10:23.000Z | 2020-10-15T02:47:21.000Z | qsubm.py | mark-caprio/mcscript | 7a5a69667857f27b8f2d2f9387b90301bc321df2 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""qsubm -- generic queue submission for task-oriented batch scripts
Environment variables:
MCSCRIPT_DIR should specify the directory in which the mcscript package is
installed, i.e., the directory where the file qsubm.py is found. (Note that
qsubm uses this information to locate c... | 40.77521 | 305 | 0.679273 | 2,551 | 19,409 | 5.039984 | 0.21521 | 0.026523 | 0.019911 | 0.0133 | 0.216302 | 0.127401 | 0.114879 | 0.083845 | 0.037645 | 0.037645 | 0 | 0.010232 | 0.15905 | 19,409 | 475 | 306 | 40.861053 | 0.777478 | 0.368489 | 0 | 0.157205 | 0 | 0.004367 | 0.303442 | 0.061281 | 0 | 0 | 0 | 0.002105 | 0 | 1 | 0 | false | 0.0131 | 0.034935 | 0 | 0.034935 | 0.126638 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f73eadae4fdc856f5258f55231ef39bc6666f5e3 | 2,657 | py | Python | qf_lib/backtesting/order/order.py | webclinic017/qf-lib | 96463876719bba8a76c8269cef76addf3a2d836d | [
"Apache-2.0"
] | 198 | 2019-08-16T15:09:23.000Z | 2022-03-30T12:44:00.000Z | qf_lib/backtesting/order/order.py | webclinic017/qf-lib | 96463876719bba8a76c8269cef76addf3a2d836d | [
"Apache-2.0"
] | 13 | 2021-01-07T10:15:19.000Z | 2022-03-29T13:01:47.000Z | qf_lib/backtesting/order/order.py | webclinic017/qf-lib | 96463876719bba8a76c8269cef76addf3a2d836d | [
"Apache-2.0"
] | 29 | 2019-08-16T15:21:28.000Z | 2022-02-23T09:53:49.000Z | # Copyright 2016-present CERN – European Organization for Nuclear Research
#
# 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... | 39.073529 | 113 | 0.640572 | 333 | 2,657 | 4.954955 | 0.414414 | 0.067879 | 0.053333 | 0.036364 | 0.176364 | 0.106667 | 0.089091 | 0.069091 | 0.069091 | 0.069091 | 0 | 0.00413 | 0.270982 | 2,657 | 67 | 114 | 39.656716 | 0.847186 | 0.351148 | 0 | 0.117647 | 0 | 0 | 0.061825 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.088235 | 0.058824 | 0.441176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f73f780a7a7ee00c38db35dff1b7df923b5843be | 3,789 | py | Python | webdriver/tests/actions/mouse_dblclick.py | shs96c/web-platform-tests | 61acad6dd9bb99d32340eb41f5146de64f542359 | [
"BSD-3-Clause"
] | null | null | null | webdriver/tests/actions/mouse_dblclick.py | shs96c/web-platform-tests | 61acad6dd9bb99d32340eb41f5146de64f542359 | [
"BSD-3-Clause"
] | null | null | null | webdriver/tests/actions/mouse_dblclick.py | shs96c/web-platform-tests | 61acad6dd9bb99d32340eb41f5146de64f542359 | [
"BSD-3-Clause"
] | null | null | null | import pytest
from tests.actions.support.mouse import assert_move_to_coordinates, get_center
from tests.actions.support.refine import get_events, filter_dict
_DBLCLICK_INTERVAL = 640
# Using local fixtures because we want to start a new session between
# each test, otherwise the clicks in each test interfere with ... | 34.761468 | 92 | 0.594088 | 422 | 3,789 | 5.135071 | 0.253555 | 0.064605 | 0.086294 | 0.055376 | 0.49054 | 0.483618 | 0.483618 | 0.461929 | 0.461929 | 0.461929 | 0 | 0.015963 | 0.256004 | 3,789 | 108 | 93 | 35.083333 | 0.752749 | 0.064661 | 0 | 0.625 | 0 | 0 | 0.13874 | 0.016106 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.068182 | false | 0 | 0.034091 | 0.011364 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f741f9a134a29cde4417d89a622f8515e0c9db99 | 2,842 | py | Python | actions.py | ratnasankeerthanreddy/Chatbot-for-Personal-assisatance | 6c584601af4c98a3bebedf7073e0ccf2ad8ecf76 | [
"MIT"
] | 1 | 2020-10-28T15:57:44.000Z | 2020-10-28T15:57:44.000Z | actions.py | ratnasankeerthanreddy/Chatbot-for-Personal-assisatance | 6c584601af4c98a3bebedf7073e0ccf2ad8ecf76 | [
"MIT"
] | null | null | null | actions.py | ratnasankeerthanreddy/Chatbot-for-Personal-assisatance | 6c584601af4c98a3bebedf7073e0ccf2ad8ecf76 | [
"MIT"
] | null | null | null | from typing import Any, Text, Dict, List
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
from utils import convert_timestamp
from rasa_sdk.events import AllSlotsReset
import datetime
from datetime import timedelta, date
import dateutil.parser
import boto3
from boto3.dynamodb.cond... | 35.974684 | 363 | 0.678044 | 360 | 2,842 | 5.233333 | 0.386111 | 0.018577 | 0.058386 | 0.069002 | 0.173036 | 0.173036 | 0.173036 | 0.138004 | 0.138004 | 0.138004 | 0 | 0.005 | 0.155524 | 2,842 | 78 | 364 | 36.435897 | 0.78 | 0.453554 | 0 | 0.205128 | 0 | 0 | 0.195138 | 0.014455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.25641 | 0.025641 | 0.435897 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7421c61dc4a9f2905083616a76cf5c9a110855b | 4,688 | py | Python | main.py | Davidswinkels/DownloadWalkingRoutes | 9ceaee0b96507149086aef7081790a09ab6b3653 | [
"Apache-2.0"
] | null | null | null | main.py | Davidswinkels/DownloadWalkingRoutes | 9ceaee0b96507149086aef7081790a09ab6b3653 | [
"Apache-2.0"
] | null | null | null | main.py | Davidswinkels/DownloadWalkingRoutes | 9ceaee0b96507149086aef7081790a09ab6b3653 | [
"Apache-2.0"
] | null | null | null | from scripts.downloader import *
import fiona
from shapely.geometry import shape
import geopandas as gpd
import matplotlib.pyplot as plt
from pprint import pprint
import requests
import json
import time
import os
# Constant variables
input_min_lat = 50.751797561
input_min_lon = 5.726110232
input_max_lat = 50.938216069... | 53.272727 | 133 | 0.588097 | 553 | 4,688 | 4.837251 | 0.392405 | 0.032897 | 0.023925 | 0.028411 | 0.114766 | 0.106168 | 0.106168 | 0.078505 | 0.078505 | 0.078505 | 0 | 0.071388 | 0.25 | 4,688 | 87 | 134 | 53.885057 | 0.68942 | 0.326579 | 0 | 0.1 | 0 | 0.083333 | 0.414619 | 0.150974 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.016667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7441602c73a268dd40291e6397b91ed0f1027f6 | 3,185 | py | Python | seq2seq-chatbot/chat_web.py | rohitkujur1997/chatbot | 76cd460b09f75532a7259d783114d8cf3dda246f | [
"MIT"
] | 104 | 2018-03-28T20:30:25.000Z | 2022-02-18T19:43:21.000Z | seq2seq-chatbot/chat_web.py | rohitkujur1997/chatbot | 76cd460b09f75532a7259d783114d8cf3dda246f | [
"MIT"
] | 37 | 2018-04-16T15:39:17.000Z | 2021-05-29T11:28:26.000Z | seq2seq-chatbot/chat_web.py | rohitkujur1997/chatbot | 76cd460b09f75532a7259d783114d8cf3dda246f | [
"MIT"
] | 63 | 2018-05-18T09:52:20.000Z | 2021-07-26T08:11:17.000Z | """
Script for serving a trained chatbot model over http
"""
import datetime
import click
from os import path
from flask import Flask, request, send_from_directory
from flask_cors import CORS
from flask_restful import Resource, Api
import general_utils
import chat_command_handler
from chat_settings import ChatSettings... | 37.916667 | 141 | 0.661538 | 367 | 3,185 | 5.493188 | 0.3297 | 0.027778 | 0.035714 | 0.041667 | 0.111607 | 0.099702 | 0.058036 | 0 | 0 | 0 | 0 | 0.000422 | 0.255573 | 3,185 | 84 | 142 | 37.916667 | 0.849852 | 0.081633 | 0 | 0.081967 | 0 | 0 | 0.079986 | 0.007896 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04918 | false | 0 | 0.180328 | 0.016393 | 0.295082 | 0.114754 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7451e04b5509a3b3a1ecacc27d8ca29e4bae31f | 657 | py | Python | 4.py | Andrey543/Prack_10 | 263cae3204ed624b68d5797bd8d8833dd88e4682 | [
"PSF-2.0"
] | null | null | null | 4.py | Andrey543/Prack_10 | 263cae3204ed624b68d5797bd8d8833dd88e4682 | [
"PSF-2.0"
] | null | null | null | 4.py | Andrey543/Prack_10 | 263cae3204ed624b68d5797bd8d8833dd88e4682 | [
"PSF-2.0"
] | null | null | null | enru=open('en-ru.txt','r')
input=open('input.txt','r')
output=open('output.txt','w')
s=enru.read()
x=''
prov={'q','w','e','r','t','y','u','i','o','p','a','s','d','f','g','h','j','k','l','z','x','c','v','b','n','m'}
slovar={}
s=s.replace('\t-\t',' ')
while len(s)>0:
slovar[s[:s.index(' ')]]=s[s.index(' '):s.index('\... | 22.655172 | 110 | 0.438356 | 120 | 657 | 2.4 | 0.425 | 0.048611 | 0.072917 | 0.069444 | 0.125 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0.00969 | 0.214612 | 657 | 28 | 111 | 23.464286 | 0.54845 | 0 | 0 | 0.24 | 0 | 0 | 0.105023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
f74545257d4ee21af8ad7aae2149ad290991f512 | 2,485 | py | Python | examples/siamese_mnist.py | DmitryUlyanov/deeppy | c9644d348e22b78d32ea049fb0ac14bf3b750941 | [
"MIT"
] | 1 | 2015-09-16T08:01:21.000Z | 2015-09-16T08:01:21.000Z | examples/siamese_mnist.py | rajat1994/deeppy | 79cc7cb552f30bc70eeea9ee7ff4976b0899ea66 | [
"MIT"
] | null | null | null | examples/siamese_mnist.py | rajat1994/deeppy | 79cc7cb552f30bc70eeea9ee7ff4976b0899ea66 | [
"MIT"
] | 2 | 2020-04-05T21:41:14.000Z | 2021-09-28T18:05:49.000Z | #!/usr/bin/env python
"""
Siamese networks
================
"""
import random
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import offsetbox
import deeppy as dp
# Fetch MNIST data
dataset = dp.dataset.MNIST()
x_train, y_train, x_test, y_test = dataset.data(flat=True, dp_dtypes=True)
# Normaliz... | 24.60396 | 78 | 0.639437 | 381 | 2,485 | 4.015748 | 0.393701 | 0.022876 | 0.033333 | 0.039216 | 0.169281 | 0.169281 | 0.143137 | 0.120261 | 0.120261 | 0.120261 | 0 | 0.033231 | 0.212877 | 2,485 | 100 | 79 | 24.85 | 0.748978 | 0.090946 | 0 | 0.186667 | 0 | 0 | 0.019625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7455caca893431c335911322deda0eadbce921b | 1,580 | py | Python | py/tests/tests_integ_yarn.py | My-Technical-Architect/sparkling-water | b1381891baefd63fd15f8dc2a73b049828a919bc | [
"Apache-2.0"
] | null | null | null | py/tests/tests_integ_yarn.py | My-Technical-Architect/sparkling-water | b1381891baefd63fd15f8dc2a73b049828a919bc | [
"Apache-2.0"
] | null | null | null | py/tests/tests_integ_yarn.py | My-Technical-Architect/sparkling-water | b1381891baefd63fd15f8dc2a73b049828a919bc | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 39.5 | 97 | 0.725316 | 217 | 1,580 | 5.184332 | 0.557604 | 0.053333 | 0.057778 | 0.028444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010929 | 0.189241 | 1,580 | 39 | 98 | 40.512821 | 0.867291 | 0.556329 | 0 | 0 | 0 | 0 | 0.301775 | 0.239645 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f747016ef477946806c1d818d38cadb8c27e681e | 12,988 | py | Python | exchanges/virtualExchangeService.py | AshWorkshop/Trandash | a96b523fbd171ba2d43a6720ef2e2a496a0cf75a | [
"MIT"
] | 1 | 2018-07-25T03:43:35.000Z | 2018-07-25T03:43:35.000Z | exchanges/virtualExchangeService.py | AshWorkshop/Trandash | a96b523fbd171ba2d43a6720ef2e2a496a0cf75a | [
"MIT"
] | null | null | null | exchanges/virtualExchangeService.py | AshWorkshop/Trandash | a96b523fbd171ba2d43a6720ef2e2a496a0cf75a | [
"MIT"
] | null | null | null | from twisted.internet import defer, task
from twisted.python.failure import Failure
from exchanges.base import ExchangeService
from exchange import calcVirtualOrderBooks
import copy
import time
def defaultErrHandler(failure):
print(failure.getBriefTraceback())
return failure
def handleMultipleErr(data):
... | 34.542553 | 97 | 0.495303 | 1,251 | 12,988 | 5.107114 | 0.160671 | 0.029739 | 0.015652 | 0.029739 | 0.608546 | 0.566912 | 0.548756 | 0.522147 | 0.493974 | 0.457036 | 0 | 0.004178 | 0.410225 | 12,988 | 376 | 98 | 34.542553 | 0.829896 | 0.032877 | 0 | 0.558528 | 0 | 0 | 0.082395 | 0 | 0 | 0 | 0 | 0.00266 | 0 | 1 | 0.09699 | false | 0.006689 | 0.023411 | 0.016722 | 0.207358 | 0.056856 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7479f1a05ace202d6234fbd90b428551eb021a1 | 7,989 | py | Python | testplan/testing/cpp/cppunit.py | Morgan-Stanley/Testplan | 9374d6e0da6ae9aa7a1b5e08b42cd21993485837 | [
"Apache-2.0"
] | null | null | null | testplan/testing/cpp/cppunit.py | Morgan-Stanley/Testplan | 9374d6e0da6ae9aa7a1b5e08b42cd21993485837 | [
"Apache-2.0"
] | null | null | null | testplan/testing/cpp/cppunit.py | Morgan-Stanley/Testplan | 9374d6e0da6ae9aa7a1b5e08b42cd21993485837 | [
"Apache-2.0"
] | null | null | null | import os
from schema import Or
from testplan.common.config import ConfigOption
from ..base import ProcessRunnerTest, ProcessRunnerTestConfig
from ...importers.cppunit import CPPUnitResultImporter, CPPUnitImportedResult
class CppunitConfig(ProcessRunnerTestConfig):
"""
Configuration object for :py:class:`~... | 35.506667 | 80 | 0.620729 | 929 | 7,989 | 5.196986 | 0.247578 | 0.024648 | 0.031897 | 0.017606 | 0.257457 | 0.157415 | 0.110191 | 0.102734 | 0.102734 | 0.102734 | 0 | 0.001225 | 0.285017 | 7,989 | 224 | 81 | 35.665179 | 0.844013 | 0.401802 | 0 | 0.125 | 0 | 0 | 0.056968 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105769 | false | 0 | 0.076923 | 0.009615 | 0.326923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f747a38fbb26a5157c21b6d60ed98e858e4c0dcd | 8,191 | py | Python | commands/song.py | Princ3x/ddmbot | 088eb6b46447a1ec184b1bc7fea493b66ee35284 | [
"MIT"
] | 8 | 2016-12-13T17:52:51.000Z | 2019-06-23T22:11:42.000Z | commands/song.py | Princ3x/ddmbot | 088eb6b46447a1ec184b1bc7fea493b66ee35284 | [
"MIT"
] | 13 | 2016-12-13T17:35:09.000Z | 2017-07-08T10:53:51.000Z | commands/song.py | Princ3x/ddmbot | 088eb6b46447a1ec184b1bc7fea493b66ee35284 | [
"MIT"
] | 4 | 2016-12-13T17:52:53.000Z | 2019-01-01T17:43:33.000Z | import discord.ext.commands as dec
import database.song
from commands.common import *
class Song:
"""Song insertion, querying and manipulation"""
def __init__(self, bot):
self._bot = bot
self._db = database.song.SongInterface(bot.loop)
_help_messages = {
'group': 'Song informatio... | 56.881944 | 120 | 0.652545 | 1,118 | 8,191 | 4.684258 | 0.22093 | 0.021768 | 0.030552 | 0.029406 | 0.366622 | 0.325568 | 0.279358 | 0.259882 | 0.238877 | 0.214245 | 0 | 0.001279 | 0.236357 | 8,191 | 143 | 121 | 57.27972 | 0.835971 | 0.005005 | 0 | 0.161017 | 0 | 0.067797 | 0.518664 | 0.008104 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008475 | false | 0 | 0.025424 | 0 | 0.067797 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f74835f3182443e8b2003e77b093fbfc09c67fcf | 7,153 | py | Python | src/anu/constants/amino_acid.py | ankitskvmdam/anu | 699598fb60dcc23f6cccd5abb30a03b294d21598 | [
"MIT"
] | null | null | null | src/anu/constants/amino_acid.py | ankitskvmdam/anu | 699598fb60dcc23f6cccd5abb30a03b294d21598 | [
"MIT"
] | null | null | null | src/anu/constants/amino_acid.py | ankitskvmdam/anu | 699598fb60dcc23f6cccd5abb30a03b294d21598 | [
"MIT"
] | null | null | null | """Enum for amino acid."""
from enum import Enum
from typing import Dict, TypedDict
class AcidityBasicity(Enum):
"""Enum for acidity and basicity."""
U = 3 # Neutral
A = 1 # Acid
B = 2 # Base
class Charge(Enum):
"""Enum for charge."""
U = 3 # Neutral
P = 1 # Positive
N = 2 #... | 28.612 | 57 | 0.533622 | 744 | 7,153 | 5.044355 | 0.193548 | 0.159872 | 0.133227 | 0.123901 | 0.473488 | 0.473488 | 0.396216 | 0.268319 | 0.094857 | 0.094857 | 0 | 0.046667 | 0.287012 | 7,153 | 249 | 58 | 28.726908 | 0.689216 | 0.062072 | 0 | 0.302222 | 0 | 0 | 0.237143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.008889 | 0 | 0.191111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f74bfae14ea8e361bfd9a147cec9f55e5eecb5a2 | 5,197 | py | Python | characterise_inauthentic_tweets.py | weberdc/socmed_repeatability | 85da18cbffa53f18279844117b2aed226104ce11 | [
"Apache-2.0"
] | 2 | 2021-06-30T07:29:10.000Z | 2022-01-20T15:17:26.000Z | characterise_inauthentic_tweets.py | weberdc/socmed_repeatability | 85da18cbffa53f18279844117b2aed226104ce11 | [
"Apache-2.0"
] | null | null | null | characterise_inauthentic_tweets.py | weberdc/socmed_repeatability | 85da18cbffa53f18279844117b2aed226104ce11 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from __future__ import print_function
import gzip
import json
import re
import sys
# import time
from argparse import ArgumentParser
# from datetime import datetime
class Options:
def __init__(self):
self.usage = 'characterise_inauthentic_tweets.py -i <file of tweets> [-v|--verbos... | 31.307229 | 110 | 0.583414 | 684 | 5,197 | 4.233918 | 0.266082 | 0.033149 | 0.041436 | 0.03971 | 0.273481 | 0.211671 | 0.18163 | 0.168508 | 0.133633 | 0.112569 | 0 | 0.011752 | 0.279584 | 5,197 | 165 | 111 | 31.49697 | 0.761752 | 0.181066 | 0 | 0.134615 | 0 | 0.019231 | 0.185053 | 0.071174 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.057692 | 0.028846 | 0.25 | 0.086538 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f74ca0e4b20b83d509bc3a77fa6331062c311e10 | 3,577 | py | Python | localshop/apps/packages/utils.py | rcoup/localshop | b7d0803afd9335862accfc79dee047a6b0e67ad6 | [
"BSD-3-Clause"
] | null | null | null | localshop/apps/packages/utils.py | rcoup/localshop | b7d0803afd9335862accfc79dee047a6b0e67ad6 | [
"BSD-3-Clause"
] | null | null | null | localshop/apps/packages/utils.py | rcoup/localshop | b7d0803afd9335862accfc79dee047a6b0e67ad6 | [
"BSD-3-Clause"
] | null | null | null | import inspect
import hashlib
import logging
import os
from django.core.files.uploadedfile import TemporaryUploadedFile
from django.db.models import FieldDoesNotExist
from django.db.models.fields.files import FileField
from django.http import QueryDict
from django.utils.datastructures import MultiValueDict
logger = l... | 29.808333 | 78 | 0.559966 | 368 | 3,577 | 5.355978 | 0.421196 | 0.025368 | 0.012177 | 0.018265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007228 | 0.342466 | 3,577 | 119 | 79 | 30.058824 | 0.830782 | 0.092256 | 0 | 0.174419 | 0 | 0 | 0.048152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0.011628 | 0.104651 | 0 | 0.209302 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f74d7b65bf1d537a02c073dba7f2c762c4daaaf9 | 4,228 | py | Python | bika/lims/browser/worksheet/views/analyses_transposed.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/browser/worksheet/views/analyses_transposed.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/browser/worksheet/views/analyses_transposed.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | # coding=utf-8
from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile
from bika.lims.browser.bika_listing import BikaListingTable
from bika.lims.browser.worksheet.views.analyses import AnalysesView
class AnalysesTransposedView(AnalysesView):
""" The view for displaying the table of manage_results... | 41.45098 | 82 | 0.585856 | 450 | 4,228 | 5.384444 | 0.34 | 0.026001 | 0.040446 | 0.01981 | 0.026414 | 0.026414 | 0.026414 | 0 | 0 | 0 | 0 | 0.001725 | 0.314333 | 4,228 | 101 | 83 | 41.861386 | 0.834081 | 0.21807 | 0 | 0.060606 | 0 | 0 | 0.100441 | 0.023615 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0 | 0.045455 | 0.015152 | 0.242424 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f756ddf67db85cf74cd46b5e90ed19ef6fd17367 | 32,091 | py | Python | gazoo_device/fire_manager.py | isabella232/gazoo-device | 0e1e276d72333e713b47152815708b9c74c45409 | [
"Apache-2.0"
] | null | null | null | gazoo_device/fire_manager.py | isabella232/gazoo-device | 0e1e276d72333e713b47152815708b9c74c45409 | [
"Apache-2.0"
] | 1 | 2021-06-24T19:20:50.000Z | 2021-06-24T19:20:50.000Z | gazoo_device/fire_manager.py | isabella232/gazoo-device | 0e1e276d72333e713b47152815708b9c74c45409 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 38.249106 | 109 | 0.675361 | 3,880 | 32,091 | 5.371392 | 0.151031 | 0.015834 | 0.010604 | 0.008157 | 0.302241 | 0.243558 | 0.190922 | 0.153016 | 0.129792 | 0.111943 | 0 | 0.004315 | 0.241781 | 32,091 | 838 | 110 | 38.294749 | 0.852211 | 0.285407 | 0 | 0.191837 | 0 | 0 | 0.247059 | 0.022575 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044898 | false | 0.008163 | 0.044898 | 0 | 0.144898 | 0.002041 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7583f3c89da3d4e9ea5d5c4fffa4b29559b7e57 | 4,814 | py | Python | py/desispec/scripts/humidity_corrected_fiberflat.py | echaussidon/desispec | 8a8bd59653861509dd630ffc8e1cd6c67f6cdd51 | [
"BSD-3-Clause"
] | null | null | null | py/desispec/scripts/humidity_corrected_fiberflat.py | echaussidon/desispec | 8a8bd59653861509dd630ffc8e1cd6c67f6cdd51 | [
"BSD-3-Clause"
] | null | null | null | py/desispec/scripts/humidity_corrected_fiberflat.py | echaussidon/desispec | 8a8bd59653861509dd630ffc8e1cd6c67f6cdd51 | [
"BSD-3-Clause"
] | null | null | null |
from __future__ import absolute_import, division
import os
import fitsio
import argparse
import numpy as np
from desiutil.log import get_logger
from desispec.io import read_fiberflat,write_fiberflat,findfile,read_frame
from desispec.io.fiberflat_vs_humidity import get_humidity,read_fiberflat_vs_humidity
from desisp... | 42.60177 | 162 | 0.706689 | 622 | 4,814 | 5.302251 | 0.286174 | 0.047301 | 0.046089 | 0.016374 | 0.094603 | 0.079442 | 0.057611 | 0.038811 | 0.038811 | 0.026683 | 0 | 0.003888 | 0.198587 | 4,814 | 112 | 163 | 42.982143 | 0.850959 | 0.085791 | 0 | 0.061728 | 0 | 0 | 0.185194 | 0 | 0 | 0 | 0 | 0 | 0.012346 | 1 | 0.024691 | false | 0 | 0.123457 | 0 | 0.185185 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f759437ada91a66b6fb489d96b3bf88ad2d186f2 | 1,856 | py | Python | config.py | jfernan2/PRInspector | c09aad3b49263d3c679fd6cfd307de404425f924 | [
"MIT"
] | null | null | null | config.py | jfernan2/PRInspector | c09aad3b49263d3c679fd6cfd307de404425f924 | [
"MIT"
] | null | null | null | config.py | jfernan2/PRInspector | c09aad3b49263d3c679fd6cfd307de404425f924 | [
"MIT"
] | null | null | null | IS_TEST = True
REPOSITORY = 'cms-sw/cmssw'
def get_repo_url():
return 'https://github.com/' + REPOSITORY + '/'
CERN_SSO_CERT_FILE = 'private/cert.pem'
CERN_SSO_KEY_FILE = 'private/cert.key'
CERN_SSO_COOKIES_LOCATION = 'private/'
TWIKI_CONTACTS_URL = 'https://ppdcontacts.web.cern.ch/PPDContacts/ppd_contacts'
TWI... | 27.294118 | 98 | 0.581358 | 202 | 1,856 | 4.950495 | 0.480198 | 0.144 | 0.084 | 0.034 | 0.192 | 0.192 | 0.132 | 0.078 | 0 | 0 | 0 | 0.006065 | 0.289332 | 1,856 | 67 | 99 | 27.701493 | 0.752085 | 0 | 0 | 0 | 0 | 0.035088 | 0.299569 | 0.03125 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070175 | false | 0 | 0 | 0.035088 | 0.140351 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f75aab6d4d19a6e9c9dca13b0cb77061bc6e8325 | 5,748 | py | Python | trainer/ml/utils.py | Telcrome/ai-trainer | 54bca3252e194c054bdd3af2b94d6dde940a2a86 | [
"MIT"
] | 1 | 2021-05-05T12:57:42.000Z | 2021-05-05T12:57:42.000Z | trainer/ml/utils.py | Telcrome/ai-trainer | 54bca3252e194c054bdd3af2b94d6dde940a2a86 | [
"MIT"
] | null | null | null | trainer/ml/utils.py | Telcrome/ai-trainer | 54bca3252e194c054bdd3af2b94d6dde940a2a86 | [
"MIT"
] | null | null | null | from enum import Enum
from typing import Generator, Tuple, Iterable, Dict, List
import cv2
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy.ndimage import label, generate_binary_structure
from scipy.ndimage.morphology import distance_transform_edt as dist_trans
import trainer.lib as... | 35.04878 | 117 | 0.636047 | 936 | 5,748 | 3.779915 | 0.251068 | 0.066139 | 0.02035 | 0.02035 | 0.111362 | 0.080837 | 0.041832 | 0.022612 | 0.022612 | 0.015263 | 0 | 0.038019 | 0.212944 | 5,748 | 163 | 118 | 35.263804 | 0.744032 | 0.224078 | 0 | 0.086957 | 0 | 0 | 0.02233 | 0 | 0 | 0 | 0 | 0 | 0.032609 | 1 | 0.108696 | false | 0 | 0.108696 | 0 | 0.336957 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f75b61928d5ab139ffa7aac0fa8d2448bbd25e2c | 7,613 | py | Python | widgets/ImageDetailArea.py | JaySon-Huang/SecertPhotos | e741cc26c19a5b249d45cc70959ac6817196cb8a | [
"MIT"
] | null | null | null | widgets/ImageDetailArea.py | JaySon-Huang/SecertPhotos | e741cc26c19a5b249d45cc70959ac6817196cb8a | [
"MIT"
] | 3 | 2015-05-19T08:43:46.000Z | 2015-06-10T17:55:28.000Z | widgets/ImageDetailArea.py | JaySon-Huang/SecertPhotos | e741cc26c19a5b249d45cc70959ac6817196cb8a | [
"MIT"
] | null | null | null | from PyQt5.QtCore import Qt, pyqtSignal, QSize
from PyQt5.QtWidgets import (
QLabel, QWidget, QTreeWidgetItem, QHeaderView,
QVBoxLayout, QHBoxLayout,
)
from .ImageLabel import ImageLabel
from .AdaptiveTreeWidget import AdaptiveTreeWidget
class ImageDetailArea(QWidget):
# signal
imageLoaded = pyqtSig... | 38.64467 | 73 | 0.620255 | 734 | 7,613 | 6.273842 | 0.144414 | 0.048208 | 0.067752 | 0.053855 | 0.4443 | 0.320955 | 0.267535 | 0.181107 | 0.162866 | 0.049077 | 0 | 0.006844 | 0.270721 | 7,613 | 196 | 74 | 38.841837 | 0.822586 | 0.018784 | 0 | 0.194286 | 0 | 0 | 0.080451 | 0.002816 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022857 | false | 0 | 0.022857 | 0 | 0.068571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f75bd46e6e679f347d07fe04e940962382046dd8 | 3,005 | py | Python | predict.py | zhyq/cws_lstm | 326980e0971482fc712602d3a79069e69a11c8fc | [
"Apache-2.0"
] | 7 | 2018-04-28T02:32:51.000Z | 2020-02-11T07:14:51.000Z | predict.py | zhyq/cws_lstm | 326980e0971482fc712602d3a79069e69a11c8fc | [
"Apache-2.0"
] | null | null | null | predict.py | zhyq/cws_lstm | 326980e0971482fc712602d3a79069e69a11c8fc | [
"Apache-2.0"
] | null | null | null | import argparse
import data_helper
from sklearn.model_selection import train_test_split
import re
import lstm
from lstm import *
import time
from viterbi import Viterbi
xrange = range
def simple_cut(text,dh,lm,viterbi):
"""对一个片段text(标点符号把句子划分为多个片段)进行预测。"""
if text:
#print("text: %s" %text)
te... | 33.388889 | 125 | 0.628619 | 401 | 3,005 | 4.571072 | 0.341646 | 0.017458 | 0.048009 | 0.02946 | 0.134206 | 0.065466 | 0 | 0 | 0 | 0 | 0 | 0.00556 | 0.221963 | 3,005 | 89 | 126 | 33.764045 | 0.778443 | 0.068885 | 0 | 0.057143 | 0 | 0 | 0.140288 | 0.044604 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.114286 | 0 | 0.214286 | 0.014286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f75c6aa4c0bc9e6a0583632570a241f0d5700804 | 2,945 | py | Python | 2021/day09/part01/smoke_basin.py | fpmosley/advent-of-code | 507bd89795ff6a0824284c3c8d2123cf19a932a3 | [
"MIT"
] | null | null | null | 2021/day09/part01/smoke_basin.py | fpmosley/advent-of-code | 507bd89795ff6a0824284c3c8d2123cf19a932a3 | [
"MIT"
] | null | null | null | 2021/day09/part01/smoke_basin.py | fpmosley/advent-of-code | 507bd89795ff6a0824284c3c8d2123cf19a932a3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
Advent of Code 2021 - Day 9: Smoke Basin (Part 1)
https://adventofcode.com/2021/day/9
'''
import numpy as np
class HeightMap():
def __init__(self) -> None:
self._grid = np.array([])
def add_row(self, row):
np_row = np.array(row)
if self._grid.size != 0:
... | 27.523364 | 94 | 0.55382 | 371 | 2,945 | 4.22372 | 0.296496 | 0.091895 | 0.025526 | 0.058711 | 0.150606 | 0.150606 | 0.141672 | 0.093172 | 0.040842 | 0 | 0 | 0.011868 | 0.341935 | 2,945 | 106 | 95 | 27.783019 | 0.796698 | 0.096435 | 0 | 0.030769 | 0 | 0 | 0.11678 | 0.008692 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107692 | false | 0 | 0.015385 | 0.015385 | 0.2 | 0.107692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f75d3544ffa19cc489ce532ee8d14ab4f09c6953 | 3,830 | py | Python | datar/base/trig_hb.py | stjordanis/datar | 4e2b5db026ad35918954576badef9951928c0cb1 | [
"MIT"
] | 110 | 2021-03-09T04:10:40.000Z | 2022-03-13T10:28:20.000Z | datar/base/trig_hb.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 54 | 2021-06-20T18:53:44.000Z | 2022-03-29T22:13:07.000Z | datar/base/trig_hb.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 11 | 2021-06-18T03:03:14.000Z | 2022-02-25T11:48:26.000Z | """Trigonometric and Hyperbolic Functions"""
from typing import Callable
import numpy
from pipda import register_func
from ..core.contexts import Context
from ..core.types import FloatOrIter
from .constants import pi
def _register_trig_hb_func(name: str, np_name: str, doc: str) -> Callable:
"""Register trigono... | 16.228814 | 76 | 0.636031 | 536 | 3,830 | 4.395522 | 0.164179 | 0.081494 | 0.095076 | 0.122241 | 0.540747 | 0.487267 | 0.409168 | 0.409168 | 0.409168 | 0.409168 | 0 | 0.002077 | 0.245692 | 3,830 | 235 | 77 | 16.297872 | 0.81343 | 0.079634 | 0 | 0.556213 | 0 | 0 | 0.518657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011834 | false | 0 | 0.035503 | 0 | 0.059172 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f75e1e987d9f182ed96fa5d1a87db15f1d90fda6 | 1,463 | py | Python | randomised_selection.py | neerajp99/algorithms | 1d6885d2a895821ac511fa8a46913d34db2511ca | [
"MIT"
] | 1 | 2021-06-17T07:59:42.000Z | 2021-06-17T07:59:42.000Z | randomised_selection.py | neerajp99/algorithms | 1d6885d2a895821ac511fa8a46913d34db2511ca | [
"MIT"
] | null | null | null | randomised_selection.py | neerajp99/algorithms | 1d6885d2a895821ac511fa8a46913d34db2511ca | [
"MIT"
] | 1 | 2022-01-13T08:42:31.000Z | 2022-01-13T08:42:31.000Z | # Implementation of Randomised Selection
"""
Naive Approach
---------
Parameters
---------
An arry with n distinct numbers
---------
Returns
---------
i(th) order statistic, i.e: i(th) smallest element of the input array
---------
Time Complexity
---------
O(n.log... | 26.6 | 141 | 0.601504 | 177 | 1,463 | 4.666667 | 0.367232 | 0.121065 | 0.108959 | 0.11138 | 0.291768 | 0.22155 | 0.22155 | 0.181598 | 0.181598 | 0.181598 | 0 | 0.022305 | 0.264525 | 1,463 | 54 | 142 | 27.092593 | 0.745353 | 0.337662 | 0 | 0 | 0 | 0 | 0.00904 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.333333 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7610420f3cae75b3b9d0169cdf9f686ba220b80 | 4,769 | py | Python | neural-navigation-with-lstm/MARCO/plastk/examples/gngsom.py | ronaldahmed/SLAM-for-ugv | 52e3241b8b737a0cfe5682c0aa87ec8c27d6a33d | [
"MIT"
] | 14 | 2016-04-03T19:25:13.000Z | 2022-01-05T07:03:07.000Z | neural-navigation-with-lstm/MARCO/plastk/examples/gngsom.py | ronaldahmed/SLAM-for-ugv | 52e3241b8b737a0cfe5682c0aa87ec8c27d6a33d | [
"MIT"
] | null | null | null | neural-navigation-with-lstm/MARCO/plastk/examples/gngsom.py | ronaldahmed/SLAM-for-ugv | 52e3241b8b737a0cfe5682c0aa87ec8c27d6a33d | [
"MIT"
] | 5 | 2018-06-21T12:58:58.000Z | 2020-02-15T05:33:39.000Z | """
GNG vs SOM comparison example for PLASTK.
This script shows how to:
- Train PLASTK vector quantizers (SOM and GNG)
- Set default parameters
- Create a simple agent and environment.
- Run an interaction between the agent and the environment
with a GUI.
$Id: gngsom.py,v 1.3 2006/02/17 19:40:09 jp Exp $
... | 29.257669 | 79 | 0.662403 | 640 | 4,769 | 4.85625 | 0.371875 | 0.018018 | 0.024453 | 0.017375 | 0.082368 | 0.05148 | 0.031532 | 0.031532 | 0 | 0 | 0 | 0.023382 | 0.228769 | 4,769 | 162 | 80 | 29.438272 | 0.821642 | 0.515202 | 0 | 0.039216 | 0 | 0 | 0.008867 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098039 | false | 0 | 0.078431 | 0 | 0.294118 | 0.019608 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f762be92cbd4d0af01d0dd42ecc1fb37b29c7ade | 3,745 | py | Python | gratipay/models/exchange_route.py | stefb965/gratipay.com | 5f3b5922d6b3a7ff64f51574a1087bab2378cbd8 | [
"CC0-1.0"
] | null | null | null | gratipay/models/exchange_route.py | stefb965/gratipay.com | 5f3b5922d6b3a7ff64f51574a1087bab2378cbd8 | [
"CC0-1.0"
] | null | null | null | gratipay/models/exchange_route.py | stefb965/gratipay.com | 5f3b5922d6b3a7ff64f51574a1087bab2378cbd8 | [
"CC0-1.0"
] | null | null | null | from __future__ import absolute_import, division, print_function, unicode_literals
import braintree
from postgres.orm import Model
class ExchangeRoute(Model):
typname = "exchange_routes"
def __bool__(self):
return self.error != 'invalidated'
__nonzero__ = __bool__
@classmethod
def fro... | 34.357798 | 94 | 0.594393 | 423 | 3,745 | 5.101655 | 0.281324 | 0.07785 | 0.014829 | 0.046339 | 0.408712 | 0.316033 | 0.221501 | 0.201576 | 0.201576 | 0.201576 | 0 | 0 | 0.306275 | 3,745 | 108 | 95 | 34.675926 | 0.830639 | 0.125768 | 0 | 0.52439 | 0 | 0.012195 | 0.319951 | 0.017469 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085366 | false | 0 | 0.060976 | 0.012195 | 0.280488 | 0.012195 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f763746331e345f22b7c5a33a4edda7eac385dea | 805 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/video_pipeline/forms.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/video_pipeline/forms.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/video_pipeline/forms.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2019-01-02T14:38:50.000Z | 2019-01-02T14:38:50.000Z | """
Defines a form to provide validations for course-specific configuration.
"""
from django import forms
from openedx.core.djangoapps.video_config.forms import CourseSpecificFlagAdminBaseForm
from openedx.core.djangoapps.video_pipeline.models import (
CourseVideoUploadsEnabledByDefault,
VEMPipelineIntegration... | 26.833333 | 86 | 0.756522 | 69 | 805 | 8.681159 | 0.565217 | 0.03005 | 0.056761 | 0.083472 | 0.100167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178882 | 805 | 29 | 87 | 27.758621 | 0.906203 | 0.238509 | 0 | 0.285714 | 0 | 0 | 0.024348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f76393b04c4eca590f51e2e26126536b11d54d6f | 1,779 | py | Python | tests/integration/test_create_from_full_info.py | superannotateai/superannotate-python-sdk | e2ce848b61efed608265fa64f3781fd5a17c929b | [
"MIT"
] | 26 | 2020-09-25T06:25:06.000Z | 2022-01-30T16:44:07.000Z | tests/integration/test_create_from_full_info.py | superannotateai/superannotate-python-sdk | e2ce848b61efed608265fa64f3781fd5a17c929b | [
"MIT"
] | 12 | 2020-12-21T19:59:48.000Z | 2022-01-21T10:32:07.000Z | tests/integration/test_create_from_full_info.py | superannotateai/superannotate-python-sdk | e2ce848b61efed608265fa64f3781fd5a17c929b | [
"MIT"
] | 11 | 2020-09-17T13:39:19.000Z | 2022-03-02T18:12:29.000Z | import os
from os.path import dirname
from unittest import TestCase
import src.superannotate as sa
class TestCloneProject(TestCase):
PROJECT_NAME_1 = "test create from full info1"
PROJECT_NAME_2 = "test create from full info2"
PROJECT_DESCRIPTION = "desc"
PROJECT_TYPE = "Vector"
TEST_FOLDER_PATH... | 37.0625 | 109 | 0.720067 | 221 | 1,779 | 5.434389 | 0.289593 | 0.100749 | 0.099917 | 0.09159 | 0.235637 | 0.133222 | 0.083264 | 0.083264 | 0.083264 | 0 | 0 | 0.011111 | 0.190556 | 1,779 | 48 | 110 | 37.0625 | 0.822917 | 0 | 0 | 0.052632 | 0 | 0 | 0.11573 | 0.038764 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.131579 | false | 0 | 0.105263 | 0.052632 | 0.447368 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f767fc179ce62571eb82287782f1d69c78d494fd | 1,028 | py | Python | 415-add-strings/add_strings.py | cnluocj/leetcode | 5b870a63ba1aab3db1e05421c91f404a9aabc489 | [
"MIT"
] | null | null | null | 415-add-strings/add_strings.py | cnluocj/leetcode | 5b870a63ba1aab3db1e05421c91f404a9aabc489 | [
"MIT"
] | null | null | null | 415-add-strings/add_strings.py | cnluocj/leetcode | 5b870a63ba1aab3db1e05421c91f404a9aabc489 | [
"MIT"
] | null | null | null | """
59.40%
其实是大数相加
"""
class Solution(object):
def addStrings(self, num1, num2):
"""
:type num1: str
:type num2: str
:rtype: str
"""
num1_index = len(num1) - 1
num2_index = len(num2) - 1
if num1_index < 0:
return num2
if num2_inde... | 23.906977 | 73 | 0.430934 | 118 | 1,028 | 3.635593 | 0.288136 | 0.146853 | 0.06993 | 0.06993 | 0.240093 | 0.107226 | 0.107226 | 0 | 0 | 0 | 0 | 0.086331 | 0.459144 | 1,028 | 42 | 74 | 24.47619 | 0.685252 | 0.057393 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f769f929849f6994908fa8a9ca653f7ebe8e0e87 | 2,770 | py | Python | plugins/qdb.py | x89/raziel-irc-bot | 122a5de858a84e018549e0a7fd0be11bb33f2eb3 | [
"MIT"
] | null | null | null | plugins/qdb.py | x89/raziel-irc-bot | 122a5de858a84e018549e0a7fd0be11bb33f2eb3 | [
"MIT"
] | null | null | null | plugins/qdb.py | x89/raziel-irc-bot | 122a5de858a84e018549e0a7fd0be11bb33f2eb3 | [
"MIT"
] | null | null | null | import logging
log = logging.getLogger(__name__)
import json
import requests
import requests.exceptions
import botologist.plugin
BASE_URL = 'https://qdb.lutro.me'
def _get_quote_url(quote):
return BASE_URL + '/' + str(quote['id'])
def _get_qdb_data(url, query_params):
response = requests.get(url, query_params, ... | 23.277311 | 83 | 0.636462 | 381 | 2,770 | 4.493438 | 0.288714 | 0.028622 | 0.029206 | 0.026285 | 0.092874 | 0.060748 | 0.03271 | 0 | 0 | 0 | 0 | 0.01626 | 0.200722 | 2,770 | 118 | 84 | 23.474576 | 0.757001 | 0.03213 | 0 | 0.242105 | 0 | 0 | 0.10824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0.010526 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f76e35161b8285ae39943d6522c5085c519cc9cf | 22,791 | py | Python | wwt_api_client/communities.py | WorldWideTelescope/wwt_api_client | cfc42728eb2428f17e711f7527fd97150e629296 | [
"BSD-3-Clause"
] | null | null | null | wwt_api_client/communities.py | WorldWideTelescope/wwt_api_client | cfc42728eb2428f17e711f7527fd97150e629296 | [
"BSD-3-Clause"
] | 8 | 2019-04-28T17:27:44.000Z | 2020-11-05T20:24:21.000Z | wwt_api_client/communities.py | WorldWideTelescope/wwt_api_client | cfc42728eb2428f17e711f7527fd97150e629296 | [
"BSD-3-Clause"
] | 1 | 2019-04-28T17:25:06.000Z | 2019-04-28T17:25:06.000Z | # Copyright 2019-2020 the .NET Foundation
# Distributed under the terms of the revised (3-clause) BSD license.
"""Interacting with the WWT Communities APIs."""
import json
import os.path
import requests
import sys
from urllib.parse import parse_qs, urlparse
from . import APIRequest, Client, enums
__all__ = '''
Comm... | 30.966033 | 125 | 0.5833 | 2,391 | 22,791 | 5.390213 | 0.22501 | 0.017846 | 0.015208 | 0.014742 | 0.380043 | 0.31766 | 0.26032 | 0.242396 | 0.217101 | 0.201738 | 0 | 0.013183 | 0.317713 | 22,791 | 735 | 126 | 31.008163 | 0.815627 | 0.344039 | 0 | 0.4 | 0 | 0.006349 | 0.192714 | 0.044414 | 0 | 0 | 0 | 0.001361 | 0 | 1 | 0.098413 | false | 0.006349 | 0.031746 | 0.04127 | 0.311111 | 0.038095 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7704b3dce5cd94981cb7391a19b755c0df22b68 | 304 | py | Python | test/socket_client.py | suxb201/Socks5_DNS_Test | a1cb8b5d8d998c6a029dc0b329418ecbb9a2fc72 | [
"MIT"
] | 1 | 2020-11-09T02:08:04.000Z | 2020-11-09T02:08:04.000Z | test/socket_client.py | suxb201/Socks5_DNS_Test | a1cb8b5d8d998c6a029dc0b329418ecbb9a2fc72 | [
"MIT"
] | null | null | null | test/socket_client.py | suxb201/Socks5_DNS_Test | a1cb8b5d8d998c6a029dc0b329418ecbb9a2fc72 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import socket
HOST = '127.0.0.1' # 服务器的主机名或者 IP 地址
PORT = 10009 # 服务器使用的端口
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
print(s)
s.connect((HOST, PORT))
s.sendall(b'Hello, world')
print(s)
data = s.recv(1024)
print('Received', repr(data))
| 19 | 60 | 0.651316 | 49 | 304 | 4 | 0.693878 | 0.122449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065041 | 0.190789 | 304 | 15 | 61 | 20.266667 | 0.731707 | 0.151316 | 0 | 0.2 | 0 | 0 | 0.113725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0.3 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f770883d6109ebd548cc44852ed0b4db7874c963 | 752 | py | Python | util/statuschanger.py | MarkThe/Mark-Tools | c755d2b2e095b9f83fcbaba3ac74ec927bcddf26 | [
"MIT"
] | 1 | 2022-01-04T18:09:50.000Z | 2022-01-04T18:09:50.000Z | util/statuschanger.py | MarkThe/Mark-Tools | c755d2b2e095b9f83fcbaba3ac74ec927bcddf26 | [
"MIT"
] | null | null | null | util/statuschanger.py | MarkThe/Mark-Tools | c755d2b2e095b9f83fcbaba3ac74ec927bcddf26 | [
"MIT"
] | null | null | null | import requests
import Mark
from colorama import Fore
from util.plugins.common import print_slow, getheaders, proxy
def StatusChanger(token, Status):
#change status
CustomStatus = {"custom_status": {"text": Status}} #{"text": Status, "emoji_name": "☢"} if you want to add an emoji to the status
try:
... | 44.235294 | 152 | 0.676862 | 105 | 752 | 4.819048 | 0.628571 | 0.035573 | 0.063241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0016 | 0.168883 | 752 | 17 | 153 | 44.235294 | 0.8064 | 0.121011 | 0 | 0 | 0 | 0.071429 | 0.362121 | 0.095455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 0 | 0.357143 | 0.285714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f77168d5a15a1187d94edfc593ed43416e3d8946 | 1,979 | py | Python | recipes/recipe_modules/cloudbuildhelper/test_api.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | null | null | null | recipes/recipe_modules/cloudbuildhelper/test_api.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | null | null | null | recipes/recipe_modules/cloudbuildhelper/test_api.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from hashlib import sha256
from recipe_engine import recipe_test_api
class CloudBuildHelperTestApi(recipe_test_api.RecipeTestApi):
def build_success_out... | 30.921875 | 80 | 0.632137 | 253 | 1,979 | 4.841897 | 0.347826 | 0.040816 | 0.044898 | 0.061224 | 0.232653 | 0.198367 | 0.171429 | 0.063673 | 0.063673 | 0 | 0 | 0.020143 | 0.222335 | 1,979 | 63 | 81 | 31.412698 | 0.775828 | 0.078322 | 0 | 0.12 | 0 | 0 | 0.192308 | 0.043407 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.04 | 0.06 | 0.26 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7716d154c4129f506d04590e1524fcb8b2888bb | 7,011 | py | Python | tabbi/gmm.py | Yu-AnChen/tabbi | bf4655905d0f3fc5b7dd49a1cd12c69cb83e5bb5 | [
"MIT"
] | null | null | null | tabbi/gmm.py | Yu-AnChen/tabbi | bf4655905d0f3fc5b7dd49a1cd12c69cb83e5bb5 | [
"MIT"
] | null | null | null | tabbi/gmm.py | Yu-AnChen/tabbi | bf4655905d0f3fc5b7dd49a1cd12c69cb83e5bb5 | [
"MIT"
] | null | null | null | import sklearn.mixture
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import ticker
import matplotlib.patheffects as mpatheffects
def get_gmm_and_pos_label(
array, n_components=2, n_steps=5000
):
gmm = sklearn.mixture.GaussianMixture(
n_components=n_components, covarianc... | 31.581081 | 97 | 0.601341 | 935 | 7,011 | 4.297326 | 0.241711 | 0.032852 | 0.017919 | 0.021901 | 0.206073 | 0.201842 | 0.160528 | 0.145097 | 0.145097 | 0.145097 | 0 | 0.02131 | 0.270432 | 7,011 | 221 | 98 | 31.723982 | 0.764223 | 0.024533 | 0 | 0.154286 | 0 | 0 | 0.024803 | 0.003932 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045714 | false | 0 | 0.028571 | 0.005714 | 0.125714 | 0.005714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7745a348fc7e9affea625ab9bda06298308eebf | 4,627 | py | Python | openGaussBase/testcase/SQL/DML/upsert/Opengauss_Function_DML_Upsert_Case0131.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/DML/upsert/Opengauss_Function_DML_Upsert_Case0131.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/DML/upsert/Opengauss_Function_DML_Upsert_Case0131.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 39.211864 | 84 | 0.653555 | 602 | 4,627 | 4.913621 | 0.317276 | 0.047329 | 0.070656 | 0.030426 | 0.206558 | 0.154496 | 0.118661 | 0.049358 | 0.018932 | 0 | 0 | 0.046648 | 0.226281 | 4,627 | 117 | 85 | 39.547009 | 0.779609 | 0.10979 | 0 | 0.027027 | 0 | 0.013514 | 0.320228 | 0.103704 | 0 | 0 | 0 | 0 | 0.081081 | 1 | 0.040541 | false | 0 | 0.081081 | 0 | 0.135135 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7746001d5f89f7418b92bab28a281a421e0564a | 6,892 | py | Python | multi_traductor.py | Jalagarto/translator | d35cde0934c4ab94204d6dfdf4e7d6c0bcd6291b | [
"Apache-2.0"
] | null | null | null | multi_traductor.py | Jalagarto/translator | d35cde0934c4ab94204d6dfdf4e7d6c0bcd6291b | [
"Apache-2.0"
] | null | null | null | multi_traductor.py | Jalagarto/translator | d35cde0934c4ab94204d6dfdf4e7d6c0bcd6291b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
import tkinter as tk
from tkinter import messagebox as msg
from tkinter.ttk import Notebook
from tkinter import ttk
import tkinter.font as font
import requests
class LanguageTab(tk.Frame):
def __init__(self, master, lang_name, lang_code):
super().__init__(master)
# fonts for ... | 43.075 | 130 | 0.642339 | 893 | 6,892 | 4.788354 | 0.213886 | 0.033442 | 0.030402 | 0.028064 | 0.356174 | 0.319691 | 0.250702 | 0.206735 | 0.138447 | 0.107109 | 0 | 0.012467 | 0.220255 | 6,892 | 160 | 131 | 43.075 | 0.783215 | 0.097069 | 0 | 0.12069 | 0 | 0.008621 | 0.134665 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0.008621 | 0.051724 | 0 | 0.155172 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f775c9f689bfc087dae8bdb25d1cd48072e78520 | 1,138 | py | Python | root/settings/__init__.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | 6 | 2019-11-21T10:09:49.000Z | 2021-06-19T09:52:59.000Z | root/settings/__init__.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | null | null | null | root/settings/__init__.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | null | null | null | """
This is a django-split-settings main file.
For more information read this:
https://github.com/sobolevn/django-split-settings
Default environment is `development`.
To change settings file:
`DJANGO_ENV=production python manage.py runserver`
"""
import django_heroku
from split_settings.tools import include
base_set... | 30.756757 | 62 | 0.745167 | 130 | 1,138 | 6.446154 | 0.446154 | 0.193317 | 0.045346 | 0.073986 | 0.152745 | 0.152745 | 0.152745 | 0.152745 | 0.152745 | 0 | 0 | 0 | 0.1529 | 1,138 | 36 | 63 | 31.611111 | 0.869295 | 0.472759 | 0 | 0.105263 | 0 | 0 | 0.519862 | 0.388601 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.105263 | 0 | 0.105263 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f776be33a00e9a7a7de35e919a22d945de72c2c3 | 688 | py | Python | testapp/urls.py | danigosa/django-simple-seo | 17610e50148c6672cb34e96654df1d3515b0444f | [
"BSD-3-Clause"
] | 11 | 2015-01-02T15:44:31.000Z | 2021-07-27T06:54:35.000Z | testapp/urls.py | danigosa/django-simple-seo | 17610e50148c6672cb34e96654df1d3515b0444f | [
"BSD-3-Clause"
] | 8 | 2016-02-03T07:07:04.000Z | 2022-01-13T00:42:32.000Z | testapp/urls.py | danigosa/django-simple-seo | 17610e50148c6672cb34e96654df1d3515b0444f | [
"BSD-3-Clause"
] | 8 | 2015-02-20T13:51:51.000Z | 2021-06-24T19:11:30.000Z | from django.conf.urls import patterns, url, include
from django.contrib import admin
from django.conf import settings
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from .views import template_test
urlpatterns = patterns(
'',
url(r'^test/', template_test, name='template_test'),
url(r... | 23.724138 | 85 | 0.713663 | 82 | 688 | 5.829268 | 0.365854 | 0.083682 | 0.138075 | 0.144351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001718 | 0.15407 | 688 | 28 | 86 | 24.571429 | 0.819588 | 0 | 0 | 0.190476 | 0 | 0 | 0.101744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 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 |
f7796a989bdd258bec7902dd5290b418ab45666b | 1,645 | py | Python | continual_learning/scenarios/utils.py | jaryP/ContinualAI | 7d9b7614066d219ebd72049692da23ad6ec132b0 | [
"MIT"
] | null | null | null | continual_learning/scenarios/utils.py | jaryP/ContinualAI | 7d9b7614066d219ebd72049692da23ad6ec132b0 | [
"MIT"
] | null | null | null | continual_learning/scenarios/utils.py | jaryP/ContinualAI | 7d9b7614066d219ebd72049692da23ad6ec132b0 | [
"MIT"
] | null | null | null | from typing import Sequence, Union
import numpy as np
from scipy.ndimage.interpolation import rotate as np_rotate
from PIL.Image import Image
from torch import Tensor, tensor
from torchvision.transforms.functional import rotate
class ImageRotation(object):
def __init__(self, degree):
self.degree = degree... | 33.571429 | 73 | 0.612766 | 194 | 1,645 | 5.092784 | 0.268041 | 0.078947 | 0.068826 | 0.04251 | 0.577935 | 0.476721 | 0.42004 | 0.42004 | 0.42004 | 0.378543 | 0 | 0.002527 | 0.278419 | 1,645 | 48 | 74 | 34.270833 | 0.829823 | 0 | 0 | 0.5 | 0 | 0 | 0.073037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f77bd48d7ad8370a1142d05db86188aea9cfe2af | 14,355 | py | Python | d_graph.py | MohamedAl-Hussein/pyGraphs | 43346b1f25332dd7ab80cdd9656b3ed7af21d4d2 | [
"MIT"
] | null | null | null | d_graph.py | MohamedAl-Hussein/pyGraphs | 43346b1f25332dd7ab80cdd9656b3ed7af21d4d2 | [
"MIT"
] | null | null | null | d_graph.py | MohamedAl-Hussein/pyGraphs | 43346b1f25332dd7ab80cdd9656b3ed7af21d4d2 | [
"MIT"
] | null | null | null | # Course: CS261 - Data Structures
# Author: Mohamed Al-Hussein
# Assignment: 06
# Description: Directed graph implementation.
from collections import deque
import heapq
class DirectedGraph:
"""
Class to implement directed weighted graph
- duplicate edges not allowed
- loops not allowed
- only pos... | 33.618267 | 117 | 0.585023 | 1,908 | 14,355 | 4.303459 | 0.153564 | 0.018877 | 0.032883 | 0.013153 | 0.342589 | 0.278772 | 0.208501 | 0.157228 | 0.138473 | 0.125929 | 0 | 0.004934 | 0.336468 | 14,355 | 426 | 118 | 33.697183 | 0.857113 | 0.377917 | 0 | 0.342105 | 0 | 0 | 0.011493 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.110526 | false | 0 | 0.010526 | 0 | 0.273684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f77befa83cf2914313d51ff9e7931425c66499dd | 6,847 | py | Python | src/code_submission/2_pasanju/preprocessing/prepredict.py | NehzUx/AutoGraph-KDDCup2020 | d2fc228f4ccc5785db3129cca0445a80b6fef11d | [
"MIT"
] | 1 | 2021-12-06T14:59:55.000Z | 2021-12-06T14:59:55.000Z | src/code_submission/2_pasanju/preprocessing/prepredict.py | NehzUx/AutoGraph-Benchmark | d2fc228f4ccc5785db3129cca0445a80b6fef11d | [
"MIT"
] | null | null | null | src/code_submission/2_pasanju/preprocessing/prepredict.py | NehzUx/AutoGraph-Benchmark | d2fc228f4ccc5785db3129cca0445a80b6fef11d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time: 2020/5/14 20:41
# @Author: Mecthew
import time
import numpy as np
import pandas as pd
import scipy
from sklearn.svm import LinearSVC
from sklearn.linear_model import logistic
from sklearn.calibration import CalibratedClassifierCV
from sklearn.metrics import ac... | 43.062893 | 117 | 0.676355 | 1,024 | 6,847 | 4.242188 | 0.183594 | 0.069061 | 0.031077 | 0.016575 | 0.436464 | 0.389733 | 0.305479 | 0.266344 | 0.252072 | 0.191298 | 0 | 0.015282 | 0.187673 | 6,847 | 158 | 118 | 43.335443 | 0.765732 | 0.030378 | 0 | 0.257813 | 0 | 0 | 0.071482 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070313 | false | 0 | 0.085938 | 0.015625 | 0.21875 | 0.015625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f77cba016c9db38a8357e9b79839c267bbbde362 | 4,754 | py | Python | disaster_data/sources/noaa_coast/spider.py | cognition-gis/cognition-disaster-data | 5441bd282d36b2d998d1d366d714d38fc5b92c8f | [
"Apache-2.0"
] | null | null | null | disaster_data/sources/noaa_coast/spider.py | cognition-gis/cognition-disaster-data | 5441bd282d36b2d998d1d366d714d38fc5b92c8f | [
"Apache-2.0"
] | 1 | 2022-03-02T14:58:21.000Z | 2022-03-02T14:58:21.000Z | disaster_data/sources/noaa_coast/spider.py | cognition-gis/cognition-disaster-data | 5441bd282d36b2d998d1d366d714d38fc5b92c8f | [
"Apache-2.0"
] | null | null | null | import os
import scrapy
from scrapy.crawler import CrawlerProcess
import requests
from disaster_data.sources.noaa_coast.utils import get_geoinfo, get_fgdcinfo
class NoaaImageryCollections(scrapy.Spider):
name = 'noaa-coast-imagery-collections'
start_urls = [
'https://coast.noaa.gov/htdata/raster2/... | 34.955882 | 121 | 0.446782 | 409 | 4,754 | 5.08802 | 0.371638 | 0.049976 | 0.045651 | 0.033638 | 0.024988 | 0.024988 | 0.024988 | 0 | 0 | 0 | 0 | 0.007236 | 0.418595 | 4,754 | 136 | 122 | 34.955882 | 0.745658 | 0.040177 | 0 | 0.203704 | 0 | 0 | 0.169753 | 0.02403 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.046296 | 0 | 0.12037 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f77db444ca4d359ed2a89460019181e2cac7a2bd | 1,285 | py | Python | src/setup_mac.py | dittert/pyprobe | 1b0d0e403645ed204332c70c8a89e094f860023a | [
"Apache-2.0"
] | null | null | null | src/setup_mac.py | dittert/pyprobe | 1b0d0e403645ed204332c70c8a89e094f860023a | [
"Apache-2.0"
] | null | null | null | src/setup_mac.py | dittert/pyprobe | 1b0d0e403645ed204332c70c8a89e094f860023a | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2014 Dirk Dittert
#
# 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 agree... | 27.340426 | 74 | 0.649805 | 151 | 1,285 | 5.496689 | 0.721854 | 0.072289 | 0.031325 | 0.038554 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011305 | 0.242802 | 1,285 | 46 | 75 | 27.934783 | 0.841727 | 0.493385 | 0 | 0 | 0 | 0 | 0.211356 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.043478 | 0 | 0.043478 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f77db8b6066d045b501403f79c57e6ba8e7db030 | 6,432 | py | Python | src/gui/view_menu/layer_list.py | jeremiahws/DLAE | 5005d1c275279cc283c59f226732f073cf340a52 | [
"Apache-2.0"
] | 2 | 2021-05-25T12:23:23.000Z | 2021-06-20T11:40:40.000Z | src/gui/view_menu/layer_list.py | jeremiahws/DLAE | 5005d1c275279cc283c59f226732f073cf340a52 | [
"Apache-2.0"
] | null | null | null | src/gui/view_menu/layer_list.py | jeremiahws/DLAE | 5005d1c275279cc283c59f226732f073cf340a52 | [
"Apache-2.0"
] | 4 | 2019-10-16T07:52:41.000Z | 2021-11-20T17:28:25.000Z | # Copyright 2019 Jeremiah Sanders.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 50.25 | 211 | 0.704291 | 1,029 | 6,432 | 4.168124 | 0.156463 | 0.100256 | 0.109116 | 0.145488 | 0.641641 | 0.591979 | 0.562136 | 0.538121 | 0.458848 | 0.357892 | 0 | 0.014162 | 0.176617 | 6,432 | 127 | 212 | 50.645669 | 0.795695 | 0.091418 | 0 | 0.258427 | 0 | 0 | 0.038277 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134831 | false | 0.011236 | 0.011236 | 0 | 0.157303 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f77e315e6c8b0a904e3ca8fb92860fcdc824f09d | 977 | py | Python | preprocessing.py | Prakhar-Bhartiya/SentimentAnalysis | 8fa2664a57b01e7303ef26d1226a81c0e25be4b7 | [
"MIT"
] | null | null | null | preprocessing.py | Prakhar-Bhartiya/SentimentAnalysis | 8fa2664a57b01e7303ef26d1226a81c0e25be4b7 | [
"MIT"
] | null | null | null | preprocessing.py | Prakhar-Bhartiya/SentimentAnalysis | 8fa2664a57b01e7303ef26d1226a81c0e25be4b7 | [
"MIT"
] | null | null | null | """
DATA DESCRIPTION
sentiment140 dataset. It contains 1,600,000 tweets extracted using the twitter api . The tweets have been annotated (0 = negative, 4 = positive) and they can be used to detect sentiment .
It contains the following 6 fields:
target: the polarity of the tweet (0 = negative, 2 = neutral, 4 = positi... | 32.566667 | 187 | 0.721597 | 158 | 977 | 4.443038 | 0.632911 | 0.02849 | 0.05698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058323 | 0.157625 | 977 | 29 | 188 | 33.689655 | 0.794654 | 0.653019 | 0 | 0 | 0 | 0 | 0.301829 | 0.125 | 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 |
f77f2fcfbb893554c9dac95eda0dc9991fd25b40 | 1,803 | py | Python | indico/modules/events/static/controllers.py | tobiashuste/indico | c1e6ec0c8c84745988e38c9b1768142a6feb9e0e | [
"MIT"
] | null | null | null | indico/modules/events/static/controllers.py | tobiashuste/indico | c1e6ec0c8c84745988e38c9b1768142a6feb9e0e | [
"MIT"
] | null | null | null | indico/modules/events/static/controllers.py | tobiashuste/indico | c1e6ec0c8c84745988e38c9b1768142a6feb9e0e | [
"MIT"
] | null | null | null | # This file is part of Indico.
# Copyright (C) 2002 - 2020 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from __future__ import unicode_literals
from flask import redirect, request, session
from werkzeug.except... | 31.631579 | 104 | 0.742651 | 225 | 1,803 | 5.782222 | 0.462222 | 0.069178 | 0.053805 | 0.070715 | 0.066872 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005376 | 0.174709 | 1,803 | 56 | 105 | 32.196429 | 0.868952 | 0.110926 | 0 | 0.083333 | 0 | 0 | 0.02005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0.027778 | 0.25 | 0 | 0.611111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f7809285eb96f9645d677756834951e018513264 | 7,612 | py | Python | test_autolens/simulators/imaging/instrument_util.py | agarwalutkarsh554/PyAutoLens | 72d2f5c39834446e72879fd119b591e52b36cac4 | [
"MIT"
] | null | null | null | test_autolens/simulators/imaging/instrument_util.py | agarwalutkarsh554/PyAutoLens | 72d2f5c39834446e72879fd119b591e52b36cac4 | [
"MIT"
] | null | null | null | test_autolens/simulators/imaging/instrument_util.py | agarwalutkarsh554/PyAutoLens | 72d2f5c39834446e72879fd119b591e52b36cac4 | [
"MIT"
] | null | null | null | from os import path
import autolens as al
import autolens.plot as aplt
from test_autogalaxy.simulators.imaging import instrument_util
test_path = path.join("{}".format(path.dirname(path.realpath(__file__))), "..", "..")
def pixel_scale_from_instrument(instrument):
"""
Returns the pixel scale from... | 33.982143 | 110 | 0.633605 | 935 | 7,612 | 5.002139 | 0.167914 | 0.051315 | 0.054736 | 0.032499 | 0.707077 | 0.629677 | 0.591619 | 0.534958 | 0.516357 | 0.516357 | 0 | 0.028617 | 0.265502 | 7,612 | 223 | 111 | 34.134529 | 0.807906 | 0.210194 | 0 | 0.506944 | 0 | 0 | 0.06023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.027778 | 0 | 0.215278 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f782e665db7375deff9d1e85d757a68033315dd2 | 1,727 | py | Python | ca_bc_abbotsford/people.py | djac/scrapers-ca | 2e16a85ff8a05ea49031a11ede66fa452631f8da | [
"MIT"
] | null | null | null | ca_bc_abbotsford/people.py | djac/scrapers-ca | 2e16a85ff8a05ea49031a11ede66fa452631f8da | [
"MIT"
] | null | null | null | ca_bc_abbotsford/people.py | djac/scrapers-ca | 2e16a85ff8a05ea49031a11ede66fa452631f8da | [
"MIT"
] | null | null | null | from utils import CanadianScraper, CanadianPerson as Person
COUNCIL_PAGE = 'http://www.abbotsford.ca/city_hall/mayor_and_council/city_council.htm'
CONTACT_PAGE = 'http://www.abbotsford.ca/contact_us.htm'
class AbbotsfordPersonScraper(CanadianScraper):
def scrape(self):
councillor_seat_number = 1
... | 43.175 | 130 | 0.609728 | 195 | 1,727 | 5.241026 | 0.415385 | 0.053816 | 0.058708 | 0.041096 | 0.099804 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009281 | 0.251303 | 1,727 | 39 | 131 | 44.282051 | 0.781129 | 0 | 0 | 0 | 0 | 0.03125 | 0.225825 | 0.057904 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.03125 | false | 0 | 0.03125 | 0 | 0.09375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f783bb5a51fe8b1b4c8ff1d1556d8997b3dd57bd | 944 | py | Python | numsgraph.py | FNut/PyDev | f591aa6ace1b9032e4a9159c03478571c75a38b1 | [
"MIT"
] | 2 | 2021-01-21T12:54:50.000Z | 2021-12-26T13:45:19.000Z | numsgraph.py | FNut/PyDev | f591aa6ace1b9032e4a9159c03478571c75a38b1 | [
"MIT"
] | 12 | 2021-01-21T14:12:02.000Z | 2021-02-07T06:12:44.000Z | numsgraph.py | FNut/PyDev | f591aa6ace1b9032e4a9159c03478571c75a38b1 | [
"MIT"
] | null | null | null | import pygame
import math
pygame.init()
pi = ('Pi = ' + str(math.pi))
e = ('E = ' + str(math.e))
f = ('F = 0,1,1,2,3,5,8,13...')
p = ('P = 1,2,5,12,29...')
l = ('L = 2,1,3,4,7,11,18,29...')
pl = ('P-L = 2,6,14,34,82...')
display = pygame.display.set_mode((800,600))
pygame.display.set_caption('Nums')
font = p... | 29.5 | 45 | 0.559322 | 169 | 944 | 3.112426 | 0.384615 | 0.026616 | 0.057034 | 0.068441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1313 | 0.201271 | 944 | 31 | 46 | 30.451613 | 0.566313 | 0 | 0 | 0 | 0 | 0 | 0.11391 | 0.023001 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.064516 | 0 | 0.064516 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f783f229f95c2d9280dddc95def69a100dcd1954 | 5,980 | py | Python | scoap3/modules/tools/tasks.py | Lilykos/scoap3-next | b779b8c32504e09b2c5330aa6a18e1e1c9affd33 | [
"CC-BY-4.0"
] | 1 | 2021-08-04T09:48:38.000Z | 2021-08-04T09:48:38.000Z | scoap3/modules/tools/tasks.py | Lilykos/scoap3-next | b779b8c32504e09b2c5330aa6a18e1e1c9affd33 | [
"CC-BY-4.0"
] | 158 | 2018-09-10T07:31:14.000Z | 2022-03-30T07:18:51.000Z | scoap3/modules/tools/tasks.py | Lilykos/scoap3-next | b779b8c32504e09b2c5330aa6a18e1e1c9affd33 | [
"CC-BY-4.0"
] | 9 | 2015-04-28T11:55:04.000Z | 2021-09-28T12:14:53.000Z | import io
import csv
import logging
from StringIO import StringIO
from datetime import datetime
from gzip import GzipFile
import boto3
from celery import shared_task
from flask import current_app
from flask_mail import Attachment
from invenio_mail.api import TemplatedMessage
logger = logging.getLogger(__name__)
def... | 37.610063 | 112 | 0.678595 | 787 | 5,980 | 4.989835 | 0.268107 | 0.050929 | 0.028521 | 0.033868 | 0.270945 | 0.230201 | 0.197606 | 0.15508 | 0.147186 | 0.147186 | 0 | 0.00342 | 0.217726 | 5,980 | 158 | 113 | 37.848101 | 0.836041 | 0.343144 | 0 | 0.128205 | 0 | 0 | 0.20154 | 0.022039 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064103 | false | 0 | 0.141026 | 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 |
f78676da21ba7106ed5e99f74d32df70174e47d8 | 756 | py | Python | telegram_bot/handlers/commands/detailed_mode.py | ProgrammingLanguageLeader/MathematicianBot | a4627962a6c8bfac76013d80780997ab4b0f7952 | [
"MIT"
] | null | null | null | telegram_bot/handlers/commands/detailed_mode.py | ProgrammingLanguageLeader/MathematicianBot | a4627962a6c8bfac76013d80780997ab4b0f7952 | [
"MIT"
] | 16 | 2018-03-05T14:25:16.000Z | 2022-03-11T23:46:56.000Z | telegram_bot/handlers/commands/detailed_mode.py | ProgrammingLanguageLeader/MathematicianBot | a4627962a6c8bfac76013d80780997ab4b0f7952 | [
"MIT"
] | null | null | null | from system.db import db
from telegram_bot.handlers.utils.decorators import remember_new_user, \
send_typing, write_logs
from telegram_bot.handlers.utils.menu_entries import MenuEntry
from telegram_bot.handlers.utils.reply_markup import create_main_reply_markup
from telegram_bot.models import User
@write_logs
@se... | 30.24 | 77 | 0.756614 | 106 | 756 | 5.09434 | 0.443396 | 0.088889 | 0.111111 | 0.127778 | 0.155556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161376 | 756 | 24 | 78 | 31.5 | 0.851735 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.227273 | 0 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |