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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4b9e62db340ea51b4cda5971027dcd23a1f17c3d | 3,704 | py | Python | superset_config.py | mikiec84/incubator-superset | 3a1c32ae2378902a26873113d98bd55d290233ca | [
"Apache-2.0"
] | 1 | 2020-08-07T16:30:54.000Z | 2020-08-07T16:30:54.000Z | superset_config.py | mikiec84/incubator-superset | 3a1c32ae2378902a26873113d98bd55d290233ca | [
"Apache-2.0"
] | null | null | null | superset_config.py | mikiec84/incubator-superset | 3a1c32ae2378902a26873113d98bd55d290233ca | [
"Apache-2.0"
] | 1 | 2020-08-07T16:30:58.000Z | 2020-08-07T16:30:58.000Z | #---------------------------------------------------------
# Superset specific config
#---------------------------------------------------------
ROW_LIMIT = 5000
SUPERSET_WEBSERVER_PORT = 8088
#---------------------------------------------------------
#---------------------------------------------------------
# Flask... | 35.615385 | 107 | 0.551836 | 352 | 3,704 | 5.590909 | 0.426136 | 0.03252 | 0.042683 | 0.025915 | 0.396341 | 0.396341 | 0.382114 | 0.270325 | 0.251016 | 0.162602 | 0 | 0.024669 | 0.24487 | 3,704 | 103 | 108 | 35.961165 | 0.678942 | 0.262959 | 0 | 0 | 0 | 0 | 0.307692 | 0.276923 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b9ee2812f3c3d983291b0a7f5a83dcf6f853ee4 | 5,038 | py | Python | python_code/yolo/extract_car_num.py | mukulbhave/tensorflow | 848b16fa32cd0f180ab80a98254edd2147ea3948 | [
"CNRI-Python"
] | null | null | null | python_code/yolo/extract_car_num.py | mukulbhave/tensorflow | 848b16fa32cd0f180ab80a98254edd2147ea3948 | [
"CNRI-Python"
] | null | null | null | python_code/yolo/extract_car_num.py | mukulbhave/tensorflow | 848b16fa32cd0f180ab80a98254edd2147ea3948 | [
"CNRI-Python"
] | null | null | null | import argparse
import cv2
import re
import numpy as np
import string
import PIL
import os,glob
import ntpath
import time
import matplotlib.pyplot as plt
from PIL import Image
from yad2k.models.keras_yolo import (preprocess_true_boxes, yolo_body,
yolo_eval, yolo_head, yolo_loss)
fr... | 39.984127 | 133 | 0.639936 | 699 | 5,038 | 4.336195 | 0.288984 | 0.032662 | 0.021445 | 0.022435 | 0.076212 | 0.04223 | 0 | 0 | 0 | 0 | 0 | 0.035107 | 0.264986 | 5,038 | 126 | 134 | 39.984127 | 0.783419 | 0.089123 | 0 | 0 | 0 | 0 | 0.014525 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043956 | false | 0 | 0.186813 | 0 | 0.274725 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4ba04308181ebd07871e89cce3a567b034f969f9 | 2,881 | py | Python | examples/time_frequency/plot_tfr_topography.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | 2 | 2015-09-27T20:33:49.000Z | 2020-04-22T19:10:56.000Z | examples/time_frequency/plot_tfr_topography.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | null | null | null | examples/time_frequency/plot_tfr_topography.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | 1 | 2018-09-15T09:45:38.000Z | 2018-09-15T09:45:38.000Z | """
===================================================================
Plot time-frequency representations on topographies for MEG sensors
===================================================================
Both induced power and phase locking values are displayed.
"""
print(__doc__)
# Authors: Alexandre Gramfort <g... | 35.567901 | 79 | 0.591461 | 352 | 2,881 | 4.71875 | 0.414773 | 0.036123 | 0.030704 | 0.024082 | 0.131246 | 0.10596 | 0.10596 | 0.10596 | 0 | 0 | 0 | 0.015365 | 0.164179 | 2,881 | 80 | 80 | 36.0125 | 0.674419 | 0.289483 | 0 | 0.05 | 0 | 0 | 0.104338 | 0.041032 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.175 | 0 | 0.175 | 0.025 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4ba39b6087c75616c2877cb61a2b0736b03e97e4 | 2,201 | py | Python | A1/greenHouseBluetooth.py | rmit-s3559384-andrew-alvaro/IoT | ec444d0b037ddbd2e3aab01c34ea57fd2bd51d5f | [
"MIT"
] | null | null | null | A1/greenHouseBluetooth.py | rmit-s3559384-andrew-alvaro/IoT | ec444d0b037ddbd2e3aab01c34ea57fd2bd51d5f | [
"MIT"
] | 1 | 2021-06-01T23:39:58.000Z | 2021-06-01T23:39:58.000Z | A1/greenHouseBluetooth.py | AndrewAlvaro/IoT | ec444d0b037ddbd2e3aab01c34ea57fd2bd51d5f | [
"MIT"
] | null | null | null | import bluetooth
import sys, os
import subprocess as sp
import datetime
from pushBulletForBluetooth import pushNotification
from makeReminderforBluetooth import Reminder
import csv
class blueDev:
def findmyDevice(self):
sendPushBullet = pushNotification()
timestamp = datetime.datetime.now()... | 31 | 103 | 0.52567 | 195 | 2,201 | 5.8 | 0.435897 | 0.045977 | 0.03183 | 0.050398 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004402 | 0.380736 | 2,201 | 70 | 104 | 31.442857 | 0.825385 | 0 | 0 | 0.06 | 0 | 0 | 0.092727 | 0.009545 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.14 | 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 |
4ba509cf1a05cf33bf195b861b6306f41e7b81ea | 954 | py | Python | myfitnesspal_to_sqlite/cli.py | seeM/myfitnesspal-to-sqlite | ce4c133009cbeacd5fa5410016f81f5eb45e7a64 | [
"Apache-2.0"
] | 4 | 2021-07-14T17:31:40.000Z | 2021-12-03T21:50:09.000Z | myfitnesspal_to_sqlite/cli.py | seeM/myfitnesspal-to-sqlite | ce4c133009cbeacd5fa5410016f81f5eb45e7a64 | [
"Apache-2.0"
] | null | null | null | myfitnesspal_to_sqlite/cli.py | seeM/myfitnesspal-to-sqlite | ce4c133009cbeacd5fa5410016f81f5eb45e7a64 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
import myfitnesspal
import sqlite_utils
import click
from . import utils
@click.group()
@click.version_option()
def cli():
"Save data from MyFitnessPal to a SQLite database"
@cli.command()
@click.argument(
"db_path",
type=click.Path(file_okay=True, dir_okay=False, allow_das... | 21.2 | 82 | 0.705451 | 126 | 954 | 5.206349 | 0.388889 | 0.073171 | 0.077744 | 0.07622 | 0.073171 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178197 | 954 | 44 | 83 | 21.681818 | 0.836735 | 0.131027 | 0 | 0.236842 | 0 | 0 | 0.159329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.131579 | 0 | 0.184211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4ba90d216dd9521bb1b314598a55d371117b4821 | 8,392 | py | Python | alipay/aop/api/domain/CircleRecommendItemDTO.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/CircleRecommendItemDTO.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/CircleRecommendItemDTO.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AoiInfoDTO import AoiInfoDTO
from alipay.aop.api.domain.ItemStoreDTO import ItemStoreDTO
class CircleRecommendItemDTO(object):
def __init__(self):
self._aoi_info = No... | 32.401544 | 83 | 0.596282 | 1,063 | 8,392 | 4.367827 | 0.056444 | 0.07409 | 0.080121 | 0.058152 | 0.411587 | 0.314236 | 0.057506 | 0.031876 | 0 | 0 | 0 | 0.000172 | 0.308151 | 8,392 | 258 | 84 | 32.527132 | 0.799518 | 0.005005 | 0 | 0.138528 | 0 | 0 | 0.101366 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.017316 | 0.064935 | 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 |
4bab64e23dd52a8b7e2e5474ebad268f962e7d94 | 3,599 | py | Python | vmcasterpub/uploader_dcap.py | hepix-virtualisation/vmcaster | f4ef1c65bbb81b82aa72a0cd1afc1aa6cf13eb51 | [
"Apache-2.0"
] | null | null | null | vmcasterpub/uploader_dcap.py | hepix-virtualisation/vmcaster | f4ef1c65bbb81b82aa72a0cd1afc1aa6cf13eb51 | [
"Apache-2.0"
] | null | null | null | vmcasterpub/uploader_dcap.py | hepix-virtualisation/vmcaster | f4ef1c65bbb81b82aa72a0cd1afc1aa6cf13eb51 | [
"Apache-2.0"
] | null | null | null | import subprocess
import time
import logging
import os
import signal
log = logging.getLogger(__name__)
def runpreloadcommand(cmd,timeout,preload):
newenv = dict(os.environ)
newenv["LD_PRELOAD"] = preload
process = subprocess.Popen([cmd], shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE,env=new... | 31.025862 | 108 | 0.594054 | 384 | 3,599 | 5.528646 | 0.244792 | 0.067829 | 0.052756 | 0.033914 | 0.562412 | 0.562412 | 0.562412 | 0.513424 | 0.513424 | 0.513424 | 0 | 0.011806 | 0.293971 | 3,599 | 115 | 109 | 31.295652 | 0.823691 | 0 | 0 | 0.601942 | 0 | 0 | 0.055293 | 0.013337 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087379 | false | 0 | 0.048544 | 0 | 0.252427 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4babaa82bca32126bf21a61b9966b1e6ecb0d62c | 3,923 | py | Python | drones/serializers.py | maprezdev/restfuldrones | 9448a63b148cdf7da8f46d65067ddbb8773e2fd2 | [
"MIT"
] | null | null | null | drones/serializers.py | maprezdev/restfuldrones | 9448a63b148cdf7da8f46d65067ddbb8773e2fd2 | [
"MIT"
] | null | null | null | drones/serializers.py | maprezdev/restfuldrones | 9448a63b148cdf7da8f46d65067ddbb8773e2fd2 | [
"MIT"
] | null | null | null | # drones/serializers.py file
from rest_framework import serializers
from drones.models import DroneCategory, Drone, Pilot, Competition
from django.contrib.auth.models import User
import drones.views
class UserDroneSerializer(serializers.HyperlinkedModelSerializer):
"""serialize the drones related to a User"""
... | 29.946565 | 100 | 0.617894 | 374 | 3,923 | 6.40107 | 0.270053 | 0.026316 | 0.040936 | 0.04386 | 0.32122 | 0.255221 | 0.239348 | 0.239348 | 0.239348 | 0.239348 | 0 | 0 | 0.293143 | 3,923 | 131 | 101 | 29.946565 | 0.863325 | 0.237828 | 0 | 0.488889 | 0 | 0 | 0.121884 | 0.017313 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.044444 | 0 | 0.311111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bb0265f943903e9ce05ffd83240a67916be1de6 | 5,186 | py | Python | scripts/utils.py | alterapars/drought_classification | 585aaed3f00d5835059be1c80ad998189d9726f7 | [
"MIT"
] | 1 | 2022-02-19T11:42:24.000Z | 2022-02-19T11:42:24.000Z | scripts/utils.py | alterapars/drought_classification | 585aaed3f00d5835059be1c80ad998189d9726f7 | [
"MIT"
] | null | null | null | scripts/utils.py | alterapars/drought_classification | 585aaed3f00d5835059be1c80ad998189d9726f7 | [
"MIT"
] | 2 | 2022-02-02T08:24:37.000Z | 2022-02-03T12:27:05.000Z | import random
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
############################ STATS input data ################################################
def return_nan_percentage(input_data):
"""
prints percentage of nan values in max. 3D sized array
Parameters
-----... | 26.459184 | 94 | 0.633822 | 716 | 5,186 | 4.444134 | 0.311453 | 0.034569 | 0.005657 | 0.013199 | 0.045883 | 0.034569 | 0 | 0 | 0 | 0 | 0 | 0.019525 | 0.219823 | 5,186 | 195 | 95 | 26.594872 | 0.76693 | 0.387968 | 0 | 0.057971 | 0 | 0 | 0.100719 | 0 | 0 | 0 | 0 | 0.005128 | 0 | 1 | 0.144928 | false | 0 | 0.057971 | 0 | 0.318841 | 0.188406 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bb0f0499ca35cb26e70156806115a77ce9290c6 | 1,382 | py | Python | 2021/day8/2.py | tomhel/AoC_2019 | c76c34235821864bc763f85d43cbcbfb9ed43469 | [
"MIT"
] | 1 | 2021-12-07T13:18:52.000Z | 2021-12-07T13:18:52.000Z | 2021/day8/2.py | tomhel/AoC | c76c34235821864bc763f85d43cbcbfb9ed43469 | [
"MIT"
] | null | null | null | 2021/day8/2.py | tomhel/AoC | c76c34235821864bc763f85d43cbcbfb9ed43469 | [
"MIT"
] | null | null | null | def load():
with open("input") as f:
for x in f:
a, b, = x.strip().split("|")
yield {frozenset(x) for x in a.strip().split()}, [frozenset(x) for x in b.strip().split()]
def decode_signal(signal):
num = {}
while len(num) < 10:
for x in signal.difference(num.values()... | 28.791667 | 102 | 0.447902 | 219 | 1,382 | 2.808219 | 0.237443 | 0.065041 | 0.117073 | 0.131707 | 0.260163 | 0.126829 | 0 | 0 | 0 | 0 | 0 | 0.045012 | 0.40521 | 1,382 | 47 | 103 | 29.404255 | 0.703163 | 0 | 0 | 0 | 0 | 0 | 0.004342 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0 | 0 | 0.135135 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bb3c9f13001ae9f4765556a61ae26a55cabde2c | 1,402 | py | Python | Data Structures/Linked Lists/reverse-a-linked-list.py | Owngithub10101/Hackerrank-Problem-Solving | 4e35b609c9f5b94c5bda292b9991baa054a944b6 | [
"MIT"
] | 23 | 2020-02-28T16:18:48.000Z | 2021-12-21T11:51:07.000Z | Data Structures/Linked Lists/reverse-a-linked-list.py | ramanagali/Hackerrank-Problem-Solving | 98f654f984013140d52b9a344146e9e38e46fb81 | [
"MIT"
] | null | null | null | Data Structures/Linked Lists/reverse-a-linked-list.py | ramanagali/Hackerrank-Problem-Solving | 98f654f984013140d52b9a344146e9e38e46fb81 | [
"MIT"
] | 16 | 2020-04-08T10:46:39.000Z | 2021-11-15T03:46:56.000Z | # Reverse a linked list
# Developer: Murillo Grubler
# https://www.hackerrank.com/challenges/reverse-a-linked-list/problem
# Time complexity of reverse function: O(n)
class SinglyLinkedListNode:
def __init__(self, node_data):
self.data = node_data
self.next = None
class SinglyLinkedList:
def _... | 24.596491 | 69 | 0.622682 | 165 | 1,402 | 5.078788 | 0.357576 | 0.047733 | 0.033413 | 0.042959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.285307 | 1,402 | 56 | 70 | 25.035714 | 0.836327 | 0.199715 | 0 | 0 | 0 | 0 | 0.008115 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.194444 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bb64f1dd8e15adacfcfa40dd94e5cebe3d88bea | 1,737 | py | Python | web/api/user/utilities.py | cclrobotics/ARTBot | a0bffabebbc09361bf7748741fe3d30c78af8fbd | [
"MIT"
] | 5 | 2020-12-04T19:28:42.000Z | 2021-12-07T16:14:28.000Z | web/api/user/utilities.py | cclrobotics/ARTBot | a0bffabebbc09361bf7748741fe3d30c78af8fbd | [
"MIT"
] | 50 | 2019-10-08T19:47:24.000Z | 2021-07-26T05:43:37.000Z | web/api/user/utilities.py | cclrobotics/ARTBot | a0bffabebbc09361bf7748741fe3d30c78af8fbd | [
"MIT"
] | 4 | 2019-10-23T04:14:49.000Z | 2021-08-01T01:22:37.000Z | import os
from PIL import Image
import random
from functools import wraps
from flask import jsonify
from flask_jwt_extended import get_current_user
from .artpiece import Artpiece
from .exceptions import InvalidUsage
from web.extensions import cache
#decorator to require admin_acccess for a route
def access_level_requ... | 31.017857 | 89 | 0.716753 | 222 | 1,737 | 5.391892 | 0.418919 | 0.066834 | 0.045113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007358 | 0.217617 | 1,737 | 56 | 90 | 31.017857 | 0.873436 | 0.044329 | 0 | 0 | 0 | 0 | 0.060041 | 0.014493 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128205 | false | 0 | 0.230769 | 0 | 0.487179 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bb717792f0ab03afa44f642bc10364fd9b57993 | 2,528 | py | Python | network/utils.py | Goochaozheng/ChunkFusion | 7458a8e08886cc76cfeb87881c51e23b1d0674c3 | [
"MIT"
] | 3 | 2022-03-15T08:34:15.000Z | 2022-03-15T08:40:06.000Z | network/utils.py | Goochaozheng/ChunkFusion | 7458a8e08886cc76cfeb87881c51e23b1d0674c3 | [
"MIT"
] | null | null | null | network/utils.py | Goochaozheng/ChunkFusion | 7458a8e08886cc76cfeb87881c51e23b1d0674c3 | [
"MIT"
] | null | null | null | import spconv
import torch
from torch import nn
def residualBlock(channels, kernel_size=3):
return spconv.SparseSequential(
spconv.ConcatTable()
.add(spconv.Identity())
.add(spconv.SparseSequential(
nn.BatchNorm1d(channels),
spconv.SubMConv3d(channels... | 36.114286 | 168 | 0.71163 | 273 | 2,528 | 6.472527 | 0.32967 | 0.050934 | 0.061121 | 0.070175 | 0.269383 | 0.233164 | 0.166384 | 0.166384 | 0.166384 | 0.11545 | 0 | 0.018191 | 0.173655 | 2,528 | 69 | 169 | 36.637681 | 0.827669 | 0.109177 | 0 | 0.083333 | 0 | 0 | 0.001779 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.0625 | 0.0625 | 0.291667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bbaecaa33cf5b0c99d08e0e5f803ac656d6dabe | 2,659 | py | Python | unn/models/initializer.py | zongdaoming/TinyTransformer | 8e64f8816117048c388b4b20e3a56760ce149fe3 | [
"Apache-2.0"
] | 2 | 2021-08-08T11:23:14.000Z | 2021-09-16T04:05:23.000Z | unn/models/initializer.py | zongdaoming/TinyTransformer | 8e64f8816117048c388b4b20e3a56760ce149fe3 | [
"Apache-2.0"
] | 1 | 2021-08-08T11:25:47.000Z | 2021-08-08T11:26:15.000Z | unn/models/initializer.py | zongdaoming/TinyTransformer | 8e64f8816117048c388b4b20e3a56760ce149fe3 | [
"Apache-2.0"
] | null | null | null | import copy
import logging
import math
import torch
from torch import nn
logger = logging.getLogger('global')
def init_weights_normal(module, std=0.01):
for m in module.modules():
if isinstance(m, nn.Conv2d) or isinstance(m, nn.Linear) or isinstance(
m, nn.ConvTranspose2d):
n... | 32.036145 | 83 | 0.588943 | 367 | 2,659 | 4.141689 | 0.220708 | 0.042763 | 0.102632 | 0.078947 | 0.395395 | 0.380921 | 0.380921 | 0.380921 | 0.354605 | 0.354605 | 0 | 0.018577 | 0.291463 | 2,659 | 82 | 84 | 32.426829 | 0.788217 | 0.024445 | 0 | 0.349206 | 0 | 0 | 0.039382 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.079365 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bbcb3d3943aa14ce46dab08f6f7c37762566694 | 3,000 | py | Python | AudioFile.py | ZZZlax/.Pyrate | 42a85213e0557b2988bf62bb8eac540263e0ce30 | [
"Unlicense"
] | null | null | null | AudioFile.py | ZZZlax/.Pyrate | 42a85213e0557b2988bf62bb8eac540263e0ce30 | [
"Unlicense"
] | null | null | null | AudioFile.py | ZZZlax/.Pyrate | 42a85213e0557b2988bf62bb8eac540263e0ce30 | [
"Unlicense"
] | null | null | null | # This Python file uses the following encoding: utf-8
import os; import sys; import urllib.request; from bs4 import BeautifulSoup; import wikipedia
from PyQt5.QtWebEngineWidgets import *; from PyQt5.QtGui import QIcon; from PyQt5.QtWidgets import *; from PyQt5.QtNetwork import QNetworkProxy
class AudioFile(QMainWindo... | 69.767442 | 620 | 0.676667 | 334 | 3,000 | 6.005988 | 0.389222 | 0.053838 | 0.03988 | 0.050847 | 0.170489 | 0.170489 | 0.170489 | 0.143569 | 0.085743 | 0.085743 | 0 | 0.026736 | 0.164667 | 3,000 | 42 | 621 | 71.428571 | 0.773743 | 0.017 | 0 | 0 | 0 | 0 | 0.149304 | 0.016966 | 0 | 0 | 0.001018 | 0 | 0 | 1 | 0.121212 | false | 0.030303 | 0.060606 | 0 | 0.212121 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bbd5d337a02e7405c19f8ae7746f2dbce197b3b | 4,189 | py | Python | s09_files_and_random/solutions/random_walking_simple.py | silverfield/pythonsessions | bf5d82dded7616a5d6998da4eb445708c728794f | [
"MIT"
] | null | null | null | s09_files_and_random/solutions/random_walking_simple.py | silverfield/pythonsessions | bf5d82dded7616a5d6998da4eb445708c728794f | [
"MIT"
] | null | null | null | s09_files_and_random/solutions/random_walking_simple.py | silverfield/pythonsessions | bf5d82dded7616a5d6998da4eb445708c728794f | [
"MIT"
] | null | null | null | __author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import scipy as sp
import random
import time
# ---------------------------------------------------------------
# Class - Graph
# -----------------------... | 34.336066 | 116 | 0.467176 | 455 | 4,189 | 4.098901 | 0.274725 | 0.058981 | 0.085791 | 0.035389 | 0.153351 | 0.082038 | 0.034853 | 0.023592 | 0 | 0 | 0 | 0.005433 | 0.253044 | 4,189 | 121 | 117 | 34.619835 | 0.590604 | 0.344235 | 0 | 0.080645 | 0 | 0 | 0.073328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.048387 | 0 | 0.193548 | 0.193548 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bc09df45d93aefe38be329327bcf363df1f3d3e | 7,018 | py | Python | bin/tdgwgeo2csv.py | Bauble/bauble.api | 183c97fda076ea870e21e70ecf89a2a94a7f5722 | [
"BSD-3-Clause"
] | null | null | null | bin/tdgwgeo2csv.py | Bauble/bauble.api | 183c97fda076ea870e21e70ecf89a2a94a7f5722 | [
"BSD-3-Clause"
] | 1 | 2015-02-05T13:15:00.000Z | 2015-02-05T13:15:00.000Z | bin/tdgwgeo2csv.py | Bauble/bauble.api | 183c97fda076ea870e21e70ecf89a2a94a7f5722 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# tdwggeo2csv.py
#
# Description: convert TDWG plant distribution files out of the box to a single
# CSV file
#
# TODO: should create new id's for each entry and have a tdwg_code for
# each so we can maintain as much data as possbible
# TODO: we should probably include the original text files ... | 31.470852 | 98 | 0.578655 | 963 | 7,018 | 4.050883 | 0.239875 | 0.069982 | 0.065368 | 0.053576 | 0.340682 | 0.302487 | 0.273263 | 0.260446 | 0.207383 | 0.169444 | 0 | 0.021535 | 0.285409 | 7,018 | 222 | 99 | 31.612613 | 0.756331 | 0.209176 | 0 | 0.286713 | 0 | 0 | 0.106618 | 0 | 0 | 0 | 0 | 0.004505 | 0 | 1 | 0.097902 | false | 0.013986 | 0.027972 | 0.006993 | 0.188811 | 0.048951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
298a78605da6ac7b5a8526389d33bd97829a9e95 | 12,607 | py | Python | tornado_sockets/views/timeseries.py | willjschmitt/joulia-webserver | 712decb749c2d1bda71af49ecab245378bf30078 | [
"FTL"
] | null | null | null | tornado_sockets/views/timeseries.py | willjschmitt/joulia-webserver | 712decb749c2d1bda71af49ecab245378bf30078 | [
"FTL"
] | 95 | 2016-08-04T01:59:37.000Z | 2021-06-10T18:41:46.000Z | tornado_sockets/views/timeseries.py | willjschmitt/joulia-webserver | 712decb749c2d1bda71af49ecab245378bf30078 | [
"FTL"
] | null | null | null | """Handles websockets and asynchronous endpoints provided by Tornado instead
of Django, but use the Django model framework for a database ORM.
"""
import datetime
import functools
import json
import logging
import tornado.escape
from tornado.ioloop import IOLoop
import tornado.web
import tornado.websocket
from django... | 39.396875 | 80 | 0.649005 | 1,468 | 12,607 | 5.398501 | 0.223433 | 0.042397 | 0.028265 | 0.011987 | 0.17653 | 0.148391 | 0.107508 | 0.082524 | 0.073691 | 0.059811 | 0 | 0.000885 | 0.282938 | 12,607 | 319 | 81 | 39.520376 | 0.875774 | 0.324264 | 0 | 0.08284 | 0 | 0 | 0.05337 | 0 | 0 | 0 | 0 | 0.003135 | 0.011834 | 1 | 0.100592 | false | 0.005917 | 0.112426 | 0.005917 | 0.266272 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
298ede4e030cbedbbcf9ef9a22b8209288395ba1 | 1,751 | py | Python | plugins/train/model/dfaker.py | aaman123/faceswap | a5825c3457b062c1824ef3f8b02e4f3fa4c2217f | [
"MIT"
] | 2 | 2021-11-11T08:29:01.000Z | 2021-11-11T08:34:50.000Z | plugins/train/model/dfaker.py | aaman123/faceswap | a5825c3457b062c1824ef3f8b02e4f3fa4c2217f | [
"MIT"
] | null | null | null | plugins/train/model/dfaker.py | aaman123/faceswap | a5825c3457b062c1824ef3f8b02e4f3fa4c2217f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
""" DFaker Model
Based on the dfaker model: https://github.com/dfaker """
from keras.initializers import RandomNormal
from keras.layers import Input
from lib.model.nn_blocks import Conv2DOutput, UpscaleBlock, ResidualBlock
from .original import Model as OriginalModel, KerasModel
class Mo... | 38.911111 | 85 | 0.656768 | 230 | 1,751 | 4.721739 | 0.326087 | 0.066298 | 0.04512 | 0.051565 | 0.325967 | 0.270718 | 0.270718 | 0.270718 | 0.270718 | 0.160221 | 0 | 0.041789 | 0.221017 | 1,751 | 44 | 86 | 39.795455 | 0.754399 | 0.067961 | 0 | 0 | 0 | 0 | 0.026103 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.129032 | 0 | 0.258065 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29902382e677a01b98fcb79346e95e0a9cada7e6 | 2,459 | py | Python | classify/train.py | gallupliu/QA | 0e284dd17e27ea9384a1e4d7a4c206eb95e4bf7f | [
"Apache-2.0"
] | 3 | 2017-09-06T07:10:05.000Z | 2019-08-01T03:27:39.000Z | classify/train.py | gallupliu/QA | 0e284dd17e27ea9384a1e4d7a4c206eb95e4bf7f | [
"Apache-2.0"
] | 2 | 2018-01-25T14:46:40.000Z | 2018-01-25T14:53:13.000Z | classify/train.py | gallupliu/QA | 0e284dd17e27ea9384a1e4d7a4c206eb95e4bf7f | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
"""
@author: gallupliu
@contact: gallup-liu@hotmail.com
@version: 1.0
@license: Apache Licence
@file: train.py
@time: 2018/3/5 22:58
"""
import tensorflow as tf
from classify.dataset import data_utils
from sklearn.model_selection import train_test_split
from classify.model import TextCNN
def da... | 33.684932 | 109 | 0.684831 | 329 | 2,459 | 4.838906 | 0.370821 | 0.035176 | 0.035176 | 0.025126 | 0.238693 | 0.209799 | 0.163317 | 0.163317 | 0.114322 | 0.060302 | 0 | 0.02387 | 0.199268 | 2,459 | 72 | 110 | 34.152778 | 0.784662 | 0.256608 | 0 | 0 | 0 | 0 | 0.041065 | 0.036626 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.125 | 0 | 0.1875 | 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 |
2992bbf3c6e1e4c6fcb24c568c080fff0f59e86b | 2,299 | py | Python | src/cone/app/tests/test_browser_login.py | lenadax/cone.app | b25c55aedb85e45a962003d2767a22a927cc61c0 | [
"BSD-3-Clause"
] | 1 | 2022-03-13T17:51:09.000Z | 2022-03-13T17:51:09.000Z | src/cone/app/tests/test_browser_login.py | lenadax/cone.app | b25c55aedb85e45a962003d2767a22a927cc61c0 | [
"BSD-3-Clause"
] | 1 | 2021-08-06T08:12:00.000Z | 2021-08-06T08:12:00.000Z | src/cone/app/tests/test_browser_login.py | lenadax/cone.app | b25c55aedb85e45a962003d2767a22a927cc61c0 | [
"BSD-3-Clause"
] | null | null | null | from cone.app import get_root
from cone.app import security
from cone.app import testing
from cone.app.browser.login import login_view
from cone.app.browser.login import logout_view
from cone.tile import render_tile
from cone.tile.tests import TileTestCase
from webob.response import Response
from webob.exc import HTTPF... | 40.333333 | 94 | 0.660722 | 270 | 2,299 | 5.511111 | 0.255556 | 0.073925 | 0.060484 | 0.040323 | 0.505376 | 0.455645 | 0.370968 | 0.278226 | 0.278226 | 0.223118 | 0 | 0.003842 | 0.207482 | 2,299 | 56 | 95 | 41.053571 | 0.812843 | 0.031753 | 0 | 0.26087 | 0 | 0.043478 | 0.239316 | 0.046334 | 0 | 0 | 0 | 0 | 0.108696 | 1 | 0.086957 | false | 0.043478 | 0.195652 | 0 | 0.326087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29934fcb2bb4b9dd5b0dcf07accd0d89e7187b95 | 752 | py | Python | View/telaEditarControle.py | IuriBritoDev/TKINO | 3c689788324bd5badc84c7969f331b076046c211 | [
"MIT"
] | null | null | null | View/telaEditarControle.py | IuriBritoDev/TKINO | 3c689788324bd5badc84c7969f331b076046c211 | [
"MIT"
] | null | null | null | View/telaEditarControle.py | IuriBritoDev/TKINO | 3c689788324bd5badc84c7969f331b076046c211 | [
"MIT"
] | null | null | null | from tkinter import *
def TelaEditarControle(tela, controle):
# Cria a tela de configuração
telaEditar = Toplevel(tela)
telaEditar.title('EDITA CONTROLE')
telaEditar.geometry('280x180+620+120')
telaEditar['bg'] = 'gray'
telaEditar.resizable(False,False)
telaEditar.focus_force()
telaEdi... | 32.695652 | 96 | 0.694149 | 98 | 752 | 5.295918 | 0.673469 | 0.034682 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 0.162234 | 752 | 23 | 97 | 32.695652 | 0.768254 | 0.093085 | 0 | 0 | 0 | 0 | 0.113402 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29964b779c4f66694fdf10686261f2a4a69976ee | 4,531 | py | Python | src/multiuserpad/twitchutil.py | codingwithsomeguy/multiuserpad | caca02bb3f98e855a0980b8ac9947c05d5b89463 | [
"MIT"
] | 4 | 2020-04-14T03:25:06.000Z | 2020-11-03T14:30:20.000Z | src/multiuserpad/twitchutil.py | codingwithsomeguy/multiuserpad | caca02bb3f98e855a0980b8ac9947c05d5b89463 | [
"MIT"
] | null | null | null | src/multiuserpad/twitchutil.py | codingwithsomeguy/multiuserpad | caca02bb3f98e855a0980b8ac9947c05d5b89463 | [
"MIT"
] | null | null | null | # TODO: Generalize this with the discordutil module, factor out oauth
import logging
from urllib.parse import urlencode
import requests
import json
from flask import request, redirect, session
from creds import get_creds
from config import config
from sessionutil import invalidate_session
def twitch_login():
ss... | 31.685315 | 82 | 0.63827 | 546 | 4,531 | 5.086081 | 0.274725 | 0.031689 | 0.023046 | 0.019445 | 0.190493 | 0.14116 | 0.123875 | 0.093626 | 0.063378 | 0.03529 | 0 | 0.000894 | 0.259766 | 4,531 | 142 | 83 | 31.908451 | 0.827072 | 0.140366 | 0 | 0.234234 | 0 | 0 | 0.214378 | 0.030405 | 0 | 0 | 0 | 0.007042 | 0 | 1 | 0.036036 | false | 0 | 0.072072 | 0 | 0.189189 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2996df27209f1d350199a6a54bcf14fae9ad1a1a | 6,173 | py | Python | src/pixel_sorting.py | in3rtial/imgsrt | 2dec237b7d797d9964ed874c4e4d72f7eb23eaf0 | [
"CC0-1.0"
] | 2 | 2015-11-08T09:22:30.000Z | 2020-10-15T03:42:24.000Z | src/pixel_sorting.py | in3rtial/imgsrt | 2dec237b7d797d9964ed874c4e4d72f7eb23eaf0 | [
"CC0-1.0"
] | null | null | null | src/pixel_sorting.py | in3rtial/imgsrt | 2dec237b7d797d9964ed874c4e4d72f7eb23eaf0 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/python3
"""transliteration of Kim Asendorf's pixel sorting script"""
from copy import copy
from random import random, gauss
from PIL import Image
from numpy import int32
from argparse import ArgumentParser
# PROGRAM CONSTANTS
# rgb(103, 105, 128)
BLACK_VALUE = int32(-10000000)
# rgb(164, 114, 128)
WHITE_V... | 32.661376 | 95 | 0.638749 | 821 | 6,173 | 4.580999 | 0.190012 | 0.035363 | 0.076044 | 0.042808 | 0.373039 | 0.326243 | 0.319596 | 0.289817 | 0.244616 | 0.244616 | 0 | 0.025768 | 0.245586 | 6,173 | 188 | 96 | 32.835106 | 0.781834 | 0.135752 | 0 | 0.271186 | 0 | 0 | 0.023482 | 0 | 0 | 0 | 0 | 0 | 0.025424 | 1 | 0.101695 | false | 0 | 0.042373 | 0 | 0.194915 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
299c02cae606323659e0dd5bb1c799eaccfa8b0a | 2,109 | py | Python | setup.py | tilakpatidar/pytest-snowflake_bdd | db49f0a6d844828b607a2717b96bba517995cf72 | [
"MIT"
] | null | null | null | setup.py | tilakpatidar/pytest-snowflake_bdd | db49f0a6d844828b607a2717b96bba517995cf72 | [
"MIT"
] | null | null | null | setup.py | tilakpatidar/pytest-snowflake_bdd | db49f0a6d844828b607a2717b96bba517995cf72 | [
"MIT"
] | 1 | 2022-01-24T08:26:08.000Z | 2022-01-24T08:26:08.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import codecs
import os
from setuptools import setup
def read(fname):
file_path = os.path.join(os.path.dirname(__file__), fname)
return codecs.open(file_path, encoding='utf-8').read()
gh_run_number = os.environ.get("BUILD_NUMBER", None)
build_number = None if ... | 33.47619 | 114 | 0.625889 | 246 | 2,109 | 5.227642 | 0.447154 | 0.103421 | 0.136081 | 0.080871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023708 | 0.220009 | 2,109 | 62 | 115 | 34.016129 | 0.758055 | 0.019915 | 0 | 0.096154 | 0 | 0 | 0.505569 | 0.069734 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019231 | false | 0 | 0.057692 | 0 | 0.096154 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29a35e6f75f695c4d26d13d7a9c5d6dff08f119d | 6,228 | py | Python | aptitudetech_private/aptitudetech_private/doctype/simplified_time_reporting/simplified_time_reporting.py | CloudGround/aptitudetech_private | d4d150226bd33ea0c76086264286ae7cae52457f | [
"MIT"
] | null | null | null | aptitudetech_private/aptitudetech_private/doctype/simplified_time_reporting/simplified_time_reporting.py | CloudGround/aptitudetech_private | d4d150226bd33ea0c76086264286ae7cae52457f | [
"MIT"
] | null | null | null | aptitudetech_private/aptitudetech_private/doctype/simplified_time_reporting/simplified_time_reporting.py | CloudGround/aptitudetech_private | d4d150226bd33ea0c76086264286ae7cae52457f | [
"MIT"
] | 1 | 2019-05-17T00:04:05.000Z | 2019-05-17T00:04:05.000Z |
# -*- coding: utf-8 -*-
# Copyright (c) 2019, Aptitudetech and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.document import Document
class SimplifiedTimeReporting(Document):
def onload_post_render(self):... | 34.793296 | 312 | 0.701028 | 845 | 6,228 | 4.895858 | 0.216568 | 0.021271 | 0.021271 | 0.027073 | 0.27242 | 0.187576 | 0.129321 | 0.082185 | 0.082185 | 0.082185 | 0 | 0.008831 | 0.163616 | 6,228 | 178 | 313 | 34.988764 | 0.785371 | 0.064708 | 0 | 0.181159 | 0 | 0 | 0.193604 | 0.050034 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.137681 | 0 | 0.246377 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29a405435385e49ddae23458da015f3ba0c567e1 | 442 | py | Python | 6 - Python/Collections/7 - Piling Up!.py | Terence-Guan/Python.HackerRank | 165a5f0e739c7678dfac7eae95443018e2167c3d | [
"MIT"
] | 88 | 2016-10-23T16:41:14.000Z | 2019-12-30T23:51:47.000Z | HackerRank/6 - Python/Collections/7 - Piling Up!.py | natalie-o-perret/coding-challenges | 9a242e0ec54488f59be82592822b31ff51af1633 | [
"MIT"
] | 1 | 2018-10-13T14:31:54.000Z | 2018-10-13T14:31:54.000Z | HackerRank/6 - Python/Collections/7 - Piling Up!.py | natalie-o-perret/coding-challenges | 9a242e0ec54488f59be82592822b31ff51af1633 | [
"MIT"
] | 82 | 2017-02-01T17:02:56.000Z | 2020-02-01T11:45:58.000Z | from collections import deque
T = int(input())
for t in range(T):
n = int(input())
lengths = deque(map(int, input().split()))
top = max(lengths)
while len(lengths) > 0:
left = lengths[0]
right = lengths[-1]
if (right >= left) and (right <= top):
top = right
lengths.pop()
elif (left >= right) and (lef... | 19.217391 | 43 | 0.595023 | 65 | 442 | 4.046154 | 0.492308 | 0.091255 | 0.08365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011696 | 0.226244 | 442 | 22 | 44 | 20.090909 | 0.75731 | 0 | 0 | 0.095238 | 0 | 0 | 0.011312 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047619 | 0 | 0.047619 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29a7cf6d7a2997edf3ae4f28829f450e4f401145 | 1,225 | py | Python | tests/__main__.py | nickswebsite/nickswebsite-serializer | 2c131a04a4105afae439670f96b5b72bdfe65854 | [
"Unlicense"
] | 2 | 2017-09-26T16:38:36.000Z | 2018-08-09T15:09:51.000Z | tests/__main__.py | nickswebsite/nickswebsite-serializer | 2c131a04a4105afae439670f96b5b72bdfe65854 | [
"Unlicense"
] | 8 | 2015-02-20T13:16:11.000Z | 2016-12-20T14:55:43.000Z | tests/__main__.py | nickswebsite/nickswebsite-serializer | 2c131a04a4105afae439670f96b5b72bdfe65854 | [
"Unlicense"
] | 6 | 2015-05-20T21:26:40.000Z | 2018-08-08T10:33:04.000Z | import doctest
import sys
import unittest
import r2dto
from tests.test_acceptance import AcceptanceTests
from tests.test_base_serializer import BaseSerializerTests
__all__ = ["doctest", "sys", "unittest", "r2dto", "AcceptanceTests", "BaseSerializerTests"]
try:
import pep8
except ImportError:
print("WARNING: ... | 26.06383 | 117 | 0.660408 | 146 | 1,225 | 5.280822 | 0.472603 | 0.046693 | 0.033722 | 0.059663 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02521 | 0.222857 | 1,225 | 46 | 118 | 26.630435 | 0.784664 | 0 | 0 | 0.051282 | 0 | 0 | 0.323265 | 0.043265 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.205128 | 0 | 0.205128 | 0.051282 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29a7fecfec58a37e5770387c0619949240d50800 | 10,697 | py | Python | manager/jobs/jobs.py | jlbrewe/hub | c737669e6493ad17536eaa240bed3394b20c6b7d | [
"Apache-2.0"
] | 30 | 2016-03-26T12:08:04.000Z | 2021-12-24T14:48:32.000Z | manager/jobs/jobs.py | jlbrewe/hub | c737669e6493ad17536eaa240bed3394b20c6b7d | [
"Apache-2.0"
] | 1,250 | 2016-03-23T04:56:50.000Z | 2022-03-28T02:27:58.000Z | manager/jobs/jobs.py | jlbrewe/hub | c737669e6493ad17536eaa240bed3394b20c6b7d | [
"Apache-2.0"
] | 11 | 2016-07-14T17:04:20.000Z | 2021-07-01T16:19:09.000Z | """
Module that defines the interface between the `manager` (i.e Django) and the `broker` (i.e. RabbitMQ).
Defines three functions involved in a job's lifecycle:
- `dispatch_job` - send a job to a queue
- `update_job` - update the status of a job by checking it's (intermediate) result
- `check_job` - for a parent job... | 37.013841 | 102 | 0.598299 | 1,351 | 10,697 | 4.669874 | 0.260548 | 0.021557 | 0.019179 | 0.008084 | 0.085592 | 0.059597 | 0.049136 | 0.043113 | 0.043113 | 0.014899 | 0 | 0.00515 | 0.32841 | 10,697 | 288 | 103 | 37.142361 | 0.873051 | 0.346452 | 0 | 0.219512 | 0 | 0 | 0.03952 | 0 | 0 | 0 | 0 | 0 | 0.006098 | 1 | 0.02439 | false | 0 | 0.054878 | 0.006098 | 0.115854 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29aa089f836846e2e53f80e15d88b7aa8aa740d4 | 12,785 | py | Python | assignment2/ptb-lm-loss-compute.py | adijo/ift6135-rnn | 88ebcd621cea4042f5ada688f2452ce25d02b761 | [
"Apache-2.0"
] | null | null | null | assignment2/ptb-lm-loss-compute.py | adijo/ift6135-rnn | 88ebcd621cea4042f5ada688f2452ce25d02b761 | [
"Apache-2.0"
] | null | null | null | assignment2/ptb-lm-loss-compute.py | adijo/ift6135-rnn | 88ebcd621cea4042f5ada688f2452ce25d02b761 | [
"Apache-2.0"
] | null | null | null | #!/bin/python
# coding: utf-8
import argparse
import time
import collections
import os
import sys
import torch
import torch.nn
from torch.autograd import Variable
import torch.nn as nn
import numpy as np
from models_grad import RNN, GRU
from models_grad import make_model as TRANSFORMER
parser = argparse.ArgumentPars... | 38.509036 | 141 | 0.630504 | 1,782 | 12,785 | 4.351291 | 0.248036 | 0.018571 | 0.035079 | 0.011607 | 0.108847 | 0.092984 | 0.084086 | 0.073253 | 0.062935 | 0.062935 | 0 | 0.008516 | 0.21009 | 12,785 | 331 | 142 | 38.625378 | 0.759283 | 0.196246 | 0 | 0.076531 | 0 | 0 | 0.118081 | 0.005061 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05102 | false | 0.005102 | 0.066327 | 0 | 0.163265 | 0.056122 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29aa65c529d8ece9233ccff13d236d4bc2a7ac6d | 4,892 | py | Python | python-3.4.4.amd64/Lib/site-packages/idlexlib/extensions/ClearWindow.py | CSnap/photogate | 208272ef39f4e86f40d431da2ca523e21701f789 | [
"CC0-1.0"
] | 2 | 2018-12-29T13:47:40.000Z | 2018-12-29T13:47:49.000Z | Build/External/WPy3710/python-3.7.1/Lib/site-packages/idlexlib/extensions/ClearWindow.py | Heono/Turtle-IDE | aa42dd8f658284601b1a8d3ffb92f157de5022e2 | [
"MIT"
] | 1 | 2022-03-17T16:46:04.000Z | 2022-03-17T16:46:04.000Z | Lib/site-packages/idlexlib/extensions/ClearWindow.py | JWerbrouck/RWTH_M1_Projekt | 7ae63a2277361fa3273cf0677b297379482b8240 | [
"bzip2-1.0.6"
] | null | null | null | # IDLEX EXTENSION
## """
## Copyright(C) 2011-2012 The Board of Trustees of the University of Illinois.
## All rights reserved.
##
## Developed by: Roger D. Serwy
## University of Illinois
##
## Permission is hereby granted, free of charge, to any person obtaining
## a copy of thi... | 33.737931 | 107 | 0.634914 | 632 | 4,892 | 4.848101 | 0.414557 | 0.028721 | 0.019582 | 0.016645 | 0.102807 | 0.0953 | 0.080287 | 0.080287 | 0.080287 | 0.080287 | 0 | 0.010803 | 0.262061 | 4,892 | 144 | 108 | 33.972222 | 0.83795 | 0.46157 | 0 | 0.069444 | 0 | 0 | 0.10545 | 0.029621 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.041667 | 0.013889 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29ad5c4ad4e9d3f8e84eb705d16ecf7d414f2aac | 4,025 | py | Python | tests/test_preprocessing_evaluation_pipelines.py | CLARIN-PL/embeddings | 49fb59b796475ca92bc262ec2bc6def1d89a10e0 | [
"MIT"
] | 33 | 2021-06-15T12:09:29.000Z | 2022-03-26T14:34:16.000Z | tests/test_preprocessing_evaluation_pipelines.py | CLARIN-PL/embeddings | 49fb59b796475ca92bc262ec2bc6def1d89a10e0 | [
"MIT"
] | 201 | 2021-03-23T05:50:23.000Z | 2022-03-31T22:56:04.000Z | tests/test_preprocessing_evaluation_pipelines.py | CLARIN-PL/embeddings | 49fb59b796475ca92bc262ec2bc6def1d89a10e0 | [
"MIT"
] | null | null | null | from tempfile import TemporaryDirectory
from typing import Any, Dict, Tuple
import datasets
import flair
import numpy as np
import pytest
import torch
from flair.data import Corpus
from numpy import typing as nptyping
from embeddings.data.data_loader import HuggingFaceDataLoader
from embeddings.data.dataset import Hu... | 31.692913 | 99 | 0.766957 | 422 | 4,025 | 7.049763 | 0.241706 | 0.030252 | 0.037647 | 0.041681 | 0.362353 | 0.282017 | 0.273613 | 0.273613 | 0.223193 | 0.223193 | 0 | 0.009014 | 0.14559 | 4,025 | 126 | 100 | 31.944444 | 0.856063 | 0 | 0 | 0.269231 | 0 | 0 | 0.087702 | 0.067578 | 0 | 0 | 0 | 0 | 0.019231 | 1 | 0.076923 | false | 0 | 0.163462 | 0.048077 | 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 |
29adb65f2ba3f76e7586b891107a612d5e21f5e3 | 672 | py | Python | Exercises/Exercises_01/06_exercise.py | Szymon-Budziak/ASD_exercises_solutions | 36ccbdae03a6c7e4ad141a2b7b01bef9353574ee | [
"MIT"
] | 7 | 2021-12-28T23:38:42.000Z | 2022-03-29T16:36:16.000Z | Exercises/Exercises_01/06_exercise.py | Szymon-Budziak/ASD_exercises_solutions | 36ccbdae03a6c7e4ad141a2b7b01bef9353574ee | [
"MIT"
] | null | null | null | Exercises/Exercises_01/06_exercise.py | Szymon-Budziak/ASD_exercises_solutions | 36ccbdae03a6c7e4ad141a2b7b01bef9353574ee | [
"MIT"
] | 4 | 2021-06-29T20:21:52.000Z | 2022-03-12T10:04:17.000Z | # Proszę zaimplementować funkcję, która otrzymuje na wejściu posortowaną niemalejąco tablicę A
# o rozmiarze n oraz liczbę x i sprawdza, czy x występuje w A. Jeśli tak, to zwraca najmniejszy indeks,
# pod którym x występuje.
def binary_search(T, i, j, x):
if i > j:
return None
c = (i + j) // 2
if ... | 28 | 103 | 0.574405 | 118 | 672 | 3.228814 | 0.457627 | 0.15748 | 0.170604 | 0.110236 | 0.089239 | 0.089239 | 0.089239 | 0 | 0 | 0 | 0 | 0.032051 | 0.303571 | 672 | 23 | 104 | 29.217391 | 0.782051 | 0.324405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0 | 0 | 0.375 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29ae59f7491eb508b08d30811e2ad409b6a63558 | 4,508 | py | Python | lib/sentencers/RuleBasedSentencer.py | gucorpling/GumDrop | 06e705adc5b78b048f199a3d6f50d911fed398e2 | [
"Apache-2.0"
] | null | null | null | lib/sentencers/RuleBasedSentencer.py | gucorpling/GumDrop | 06e705adc5b78b048f199a3d6f50d911fed398e2 | [
"Apache-2.0"
] | null | null | null | lib/sentencers/RuleBasedSentencer.py | gucorpling/GumDrop | 06e705adc5b78b048f199a3d6f50d911fed398e2 | [
"Apache-2.0"
] | null | null | null | import re, io, os, sys
from nltk import word_tokenize
from argparse import ArgumentParser
# Allow package level imports in module
script_dir = os.path.dirname(os.path.realpath(__file__))
lib = os.path.abspath(script_dir + os.sep + "..")
sys.path.append(lib)
from conll_reader import space_join, text2conllu
class RuleB... | 37.882353 | 110 | 0.562999 | 603 | 4,508 | 4.154229 | 0.454395 | 0.006387 | 0.013174 | 0.011178 | 0.012774 | 0.012774 | 0.012774 | 0 | 0 | 0 | 0 | 0.006821 | 0.187001 | 4,508 | 118 | 111 | 38.20339 | 0.676126 | 0.091837 | 0 | 0.034091 | 0 | 0 | 0.232239 | 0.005145 | 0 | 0 | 0 | 0 | 0.011364 | 1 | 0.022727 | false | 0 | 0.045455 | 0 | 0.090909 | 0.011364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29b0e35636d971fec8136ffc141e0dd2c3c239b5 | 2,878 | py | Python | pyogp/lib/client/tests/test_appearance.py | grobertson/PyOGP.lib.Client | 681492d95b9a901a79071b70c77bfdd55cdb02db | [
"Apache-2.0"
] | null | null | null | pyogp/lib/client/tests/test_appearance.py | grobertson/PyOGP.lib.Client | 681492d95b9a901a79071b70c77bfdd55cdb02db | [
"Apache-2.0"
] | null | null | null | pyogp/lib/client/tests/test_appearance.py | grobertson/PyOGP.lib.Client | 681492d95b9a901a79071b70c77bfdd55cdb02db | [
"Apache-2.0"
] | null | null | null |
"""
Contributors can be viewed at:
http://svn.secondlife.com/svn/linden/projects/2008/pyogp/lib/base/trunk/CONTRIBUTORS.txt
$LicenseInfo:firstyear=2008&license=apachev2$
Copyright 2009, Linden Research, Inc.
Licensed under the Apache License, Version 2.0.
You may obtain a copy of the License at:
http://www.apa... | 32.704545 | 89 | 0.723767 | 364 | 2,878 | 5.598901 | 0.313187 | 0.083906 | 0.035329 | 0.039254 | 0.36261 | 0.344946 | 0.325319 | 0.325319 | 0.325319 | 0.280177 | 0 | 0.03682 | 0.169562 | 2,878 | 87 | 90 | 33.08046 | 0.8159 | 0.177554 | 0 | 0.288462 | 0 | 0 | 0.060323 | 0.045879 | 0 | 0 | 0 | 0 | 0.134615 | 1 | 0.134615 | false | 0.038462 | 0.192308 | 0 | 0.403846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29b134fd22e0ec5acfe0ea6bb8fddd3eb700cbd7 | 1,018 | py | Python | tests/validators/test_symbol_required.py | Ennkua/wtforms | c08ec7840c5a78ae8784139f7ee70f9627cf1ab8 | [
"BSD-3-Clause"
] | null | null | null | tests/validators/test_symbol_required.py | Ennkua/wtforms | c08ec7840c5a78ae8784139f7ee70f9627cf1ab8 | [
"BSD-3-Clause"
] | null | null | null | tests/validators/test_symbol_required.py | Ennkua/wtforms | c08ec7840c5a78ae8784139f7ee70f9627cf1ab8 | [
"BSD-3-Clause"
] | null | null | null | import pytest
from wtforms.validators import symbol_required
from wtforms.validators import ValidationError
@pytest.mark.parametrize("min_v", [2, 3, 4, 5, 6])
def test_correct_symbol_required(min_v, dummy_form, dummy_field):
"""
It should pass for the string with correct count of required symbol.
"""
... | 28.277778 | 79 | 0.674853 | 130 | 1,018 | 5.1 | 0.415385 | 0.147813 | 0.084465 | 0.11463 | 0.171946 | 0.087481 | 0.087481 | 0 | 0 | 0 | 0 | 0.02005 | 0.21611 | 1,018 | 35 | 80 | 29.085714 | 0.810777 | 0.139489 | 0 | 0.173913 | 0 | 0 | 0.128994 | 0.024852 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29b2e2e2b5e0b11ab0a21e7a356d8c2fabd4abe1 | 1,028 | py | Python | src/Nodes/WhileOp.py | gabrielzezze/z-lang | 89be471fd5618a9d1c9e3eb955608cdc888511c2 | [
"MIT"
] | null | null | null | src/Nodes/WhileOp.py | gabrielzezze/z-lang | 89be471fd5618a9d1c9e3eb955608cdc888511c2 | [
"MIT"
] | null | null | null | src/Nodes/WhileOp.py | gabrielzezze/z-lang | 89be471fd5618a9d1c9e3eb955608cdc888511c2 | [
"MIT"
] | null | null | null | from src.Node import Node
from src.Nodes import Block
from src.SymbolTable import SymbolTable
class WhileOp(Node):
def __init__(self, child: Block, condition: Node):
self.condition = condition
self.child = child
super().__init__(
value=condition,
children=[child, con... | 35.448276 | 82 | 0.694553 | 128 | 1,028 | 5.28125 | 0.28125 | 0.097633 | 0.057692 | 0.088757 | 0.510355 | 0.465976 | 0.465976 | 0.263314 | 0.263314 | 0.263314 | 0 | 0 | 0.213035 | 1,028 | 28 | 83 | 36.714286 | 0.8356 | 0 | 0 | 0.086957 | 0 | 0 | 0.040856 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.304348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29b61776c27c79d1d7092a2b9bd2ee11a295186e | 251 | py | Python | Check_if_subarray_with_0_sum_is_exists_or_not.py | KiranPesarlanka9/data-structures-and-algorithms-Problems | 557e3ca7f04b37fa5a709295f455b6338815486e | [
"MIT"
] | 1 | 2019-11-28T12:21:51.000Z | 2019-11-28T12:21:51.000Z | Check_if_subarray_with_0_sum_is_exists_or_not.py | KiranPesarlanka9/data-structures-and-algorithms-Problems | 557e3ca7f04b37fa5a709295f455b6338815486e | [
"MIT"
] | null | null | null | Check_if_subarray_with_0_sum_is_exists_or_not.py | KiranPesarlanka9/data-structures-and-algorithms-Problems | 557e3ca7f04b37fa5a709295f455b6338815486e | [
"MIT"
] | 1 | 2019-12-06T09:18:41.000Z | 2019-12-06T09:18:41.000Z | def check(arr):
sum_log = set()
_sum = 0
for i in xrange(len(arr)):
if _sum in sum_log:
return True
_sum += 1
sum_log.add(_sum)
return False
arr = [1, 0, -2, 5, -4, 1, 9, -2]
print(check(arr))
| 15.6875 | 34 | 0.49004 | 41 | 251 | 2.829268 | 0.560976 | 0.155172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063291 | 0.370518 | 251 | 15 | 35 | 16.733333 | 0.670886 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.272727 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29b90065070b5025868557255475b9c600fb78b4 | 1,588 | py | Python | scripts/join_completed.py | shannonfenn/data-tools | c730c2f88b8443f3c84a41467a40b2cc59dd8e87 | [
"MIT"
] | null | null | null | scripts/join_completed.py | shannonfenn/data-tools | c730c2f88b8443f3c84a41467a40b2cc59dd8e87 | [
"MIT"
] | null | null | null | scripts/join_completed.py | shannonfenn/data-tools | c730c2f88b8443f3c84a41467a40b2cc59dd8e87 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
import argparse
import pandas as pd
import numpy as np
def check_dataframe(filename, data_frame, key_columns):
if any(col not in data_frame for col in key_columns):
raise ValueError('Key columns not in {}.'.format(filename))
nonzero = np.count_nonzero(data_frame['trg_error'])
... | 31.137255 | 72 | 0.632872 | 199 | 1,588 | 4.889447 | 0.462312 | 0.08222 | 0.024666 | 0.032888 | 0.045221 | 0.045221 | 0 | 0 | 0 | 0 | 0 | 0.002549 | 0.258816 | 1,588 | 50 | 73 | 31.76 | 0.824129 | 0.066121 | 0 | 0 | 0 | 0 | 0.127703 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.194444 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29b95a7e7b6ab6d04a7196faa187fadcabb8c0e4 | 9,859 | py | Python | pet/preprocessor.py | YerongLi/pet | 8323080e9033c38c234431aecacad154ed477472 | [
"Apache-2.0"
] | null | null | null | pet/preprocessor.py | YerongLi/pet | 8323080e9033c38c234431aecacad154ed477472 | [
"Apache-2.0"
] | null | null | null | pet/preprocessor.py | YerongLi/pet | 8323080e9033c38c234431aecacad154ed477472 | [
"Apache-2.0"
] | null | null | null | # 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, software
# distributed under th... | 48.566502 | 120 | 0.674713 | 1,266 | 9,859 | 5.008689 | 0.191153 | 0.047942 | 0.037849 | 0.034695 | 0.420912 | 0.397414 | 0.337802 | 0.305315 | 0.281974 | 0.269989 | 0 | 0.004935 | 0.239578 | 9,859 | 202 | 121 | 48.806931 | 0.84087 | 0.165027 | 0 | 0.276423 | 0 | 0.00813 | 0.040789 | 0 | 0 | 0 | 0 | 0 | 0.065041 | 1 | 0.04878 | false | 0.00813 | 0.04065 | 0 | 0.162602 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29bcfd631b01019c349e3bbedaeeb2cbda9283d5 | 2,832 | py | Python | src/cogs/xpevent.py | nsde/lhxp | ef6d1004c704c1156b9b01172e4748634b31b541 | [
"MIT"
] | 2 | 2021-12-18T11:44:31.000Z | 2022-01-07T23:27:00.000Z | src/cogs/xpevent.py | nsde/lhxp | ef6d1004c704c1156b9b01172e4748634b31b541 | [
"MIT"
] | null | null | null | src/cogs/xpevent.py | nsde/lhxp | ef6d1004c704c1156b9b01172e4748634b31b541 | [
"MIT"
] | null | null | null | try:
from .helpers import config, management, xp, spam
except ImportError:
import helpers.config, helpers.management, helpers.xp, helpers.spam
import time
import discord
from discord.ext import commands
from discord.commands import slash_command
class XPEvent(commands.Cog):
def __init__(self, client):
... | 32.551724 | 92 | 0.628884 | 347 | 2,832 | 4.994236 | 0.273775 | 0.097519 | 0.0779 | 0.055395 | 0.195038 | 0.139642 | 0.041546 | 0.041546 | 0 | 0 | 0 | 0.009995 | 0.258121 | 2,832 | 87 | 93 | 32.551724 | 0.81485 | 0.019774 | 0 | 0.15625 | 0 | 0 | 0.056978 | 0.008294 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0.015625 | 0.109375 | 0 | 0.203125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29be043b68e9b14821af31619772ea7a817c2a7b | 2,199 | py | Python | utilities/utils.py | jluech/PGAcloud_Manager | 9008fac26f9d762b2ab527034e46d467b5b0c26f | [
"MIT"
] | null | null | null | utilities/utils.py | jluech/PGAcloud_Manager | 9008fac26f9d762b2ab527034e46d467b5b0c26f | [
"MIT"
] | null | null | null | utilities/utils.py | jluech/PGAcloud_Manager | 9008fac26f9d762b2ab527034e46d467b5b0c26f | [
"MIT"
] | null | null | null | import logging
import os
import subprocess
import sys
import yaml
files_dir = ""
# --- General util commands ---
def execute_command(
command,
working_directory,
environment_variables,
executor,
logger=logging,
livestream=False
):
logger_prefix = ""
if executo... | 23.393617 | 76 | 0.637108 | 275 | 2,199 | 4.850909 | 0.327273 | 0.041979 | 0.029985 | 0.034483 | 0.167916 | 0.122939 | 0.085457 | 0.043478 | 0.043478 | 0 | 0 | 0.006595 | 0.241473 | 2,199 | 93 | 77 | 23.645161 | 0.793165 | 0.031378 | 0 | 0.058824 | 0 | 0 | 0.028209 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.073529 | 0.014706 | 0.279412 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29bfe3374dd25a06358a1da66a585cb725eee7be | 578 | py | Python | pyscf/nao/m_color.py | KMCzajkowski/pyscf | e8af41d910cc0d3963655120c0b689590ad978e7 | [
"BSD-2-Clause"
] | null | null | null | pyscf/nao/m_color.py | KMCzajkowski/pyscf | e8af41d910cc0d3963655120c0b689590ad978e7 | [
"BSD-2-Clause"
] | null | null | null | pyscf/nao/m_color.py | KMCzajkowski/pyscf | e8af41d910cc0d3963655120c0b689590ad978e7 | [
"BSD-2-Clause"
] | null | null | null | class color:
import os
T = os.getenv('TERM')
if ( T=='cygwin' or T=='mingw' ) :
HEADER = '\033[01;35m'
BLUE = '\033[01;34m'
GREEN = '\033[01;32m'
WARNING = '\033[01;33m'
FAIL = '\033[01;31m'
RED = FAIL
ENDC = '\033[0m'
else :
HEADER = '\033[95m'
BLUE = '\033[94m'
GREEN = ... | 19.931034 | 36 | 0.49308 | 77 | 578 | 3.701299 | 0.480519 | 0.087719 | 0.077193 | 0.098246 | 0.112281 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169154 | 0.304498 | 578 | 28 | 37 | 20.642857 | 0.539801 | 0 | 0 | 0.148148 | 0 | 0 | 0.214533 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.037037 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29c079a0baef167378f06f75800a84013625dfce | 7,958 | py | Python | Scripts Daily/재무정보수집.py | oms1226/msbot | 4c141502ef6899f9e4bb3fe8e03c7eb866487d5e | [
"MIT"
] | 1 | 2020-05-01T07:50:49.000Z | 2020-05-01T07:50:49.000Z | Scripts Daily/재무정보수집.py | oms1226/msbot | 4c141502ef6899f9e4bb3fe8e03c7eb866487d5e | [
"MIT"
] | 1 | 2021-06-01T22:36:14.000Z | 2021-06-01T22:36:14.000Z | Scripts Daily/재무정보수집.py | oms1226/msbot | 4c141502ef6899f9e4bb3fe8e03c7eb866487d5e | [
"MIT"
] | 8 | 2019-10-26T03:30:53.000Z | 2022-03-26T08:06:25.000Z | # -*- coding: utf-8 -*-
import re
import calendar
import datetime, time
from datetime import timedelta
import urllib.request
import requests, json
from http.cookiejar import CookieJar
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
from pandas import DataFrame
import pandas.io.sql as pdsql
from ma... | 37.895238 | 199 | 0.539834 | 1,034 | 7,958 | 4.088008 | 0.236944 | 0.039745 | 0.038325 | 0.029808 | 0.615093 | 0.582446 | 0.574403 | 0.559735 | 0.559735 | 0.559735 | 0 | 0.023418 | 0.280975 | 7,958 | 209 | 200 | 38.076555 | 0.715309 | 0.112842 | 0 | 0.534247 | 0 | 0.027397 | 0.135058 | 0.018908 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034247 | false | 0 | 0.09589 | 0 | 0.171233 | 0.006849 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29c3750914f24305e5c021af40b18b30bd0ff4d0 | 5,387 | py | Python | information_extraction/Preprocessor.py | shatha2014/Fashion_Rec | 5f4dd4f1c7c2d18a9364b02f1798125c259e6598 | [
"BSD-2-Clause"
] | 11 | 2018-08-30T10:52:35.000Z | 2021-11-08T06:04:22.000Z | information_extraction/Preprocessor.py | shatha2014/Fashion_Rec | 5f4dd4f1c7c2d18a9364b02f1798125c259e6598 | [
"BSD-2-Clause"
] | 1 | 2020-09-08T19:53:48.000Z | 2021-11-08T13:29:42.000Z | information_extraction/Preprocessor.py | shatha2014/Fashion_Rec | 5f4dd4f1c7c2d18a9364b02f1798125c259e6598 | [
"BSD-2-Clause"
] | 8 | 2018-08-30T10:52:37.000Z | 2022-02-20T09:13:40.000Z | # Author: Kim Hammar <kimham@kth.se> KTH 2018
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from nltk.tokenize import TweetTokenizer
from nltk.tag.perceptron import PerceptronTagger
import nltk
import emoji
nltk.download('averaged_perceptron_tagger')
nltk.download('stopwords')
nltk.download... | 45.652542 | 131 | 0.667347 | 726 | 5,387 | 4.81405 | 0.165289 | 0.088698 | 0.051502 | 0.018884 | 0.420029 | 0.388269 | 0.384263 | 0.325036 | 0.231187 | 0.115308 | 0 | 0.00307 | 0.213848 | 5,387 | 117 | 132 | 46.042735 | 0.822196 | 0.122888 | 0 | 0 | 0 | 0 | 0.056791 | 0.005614 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146667 | false | 0 | 0.08 | 0 | 0.293333 | 0.093333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29c79f364e1d41c68e19d472b3c1d55bd0b5b9e5 | 1,070 | py | Python | afterglow_core/schemas/api/v1/jobs/field_cal_job.py | SkynetRTN/afterglow-access-server | 3d8d62f622577fdd1ae7b0076cb536251f7bf0cd | [
"Apache-2.0"
] | 2 | 2021-05-24T15:12:07.000Z | 2022-02-17T19:58:16.000Z | afterglow_core/schemas/api/v1/jobs/field_cal_job.py | SkynetRTN/afterglow-access-server | 3d8d62f622577fdd1ae7b0076cb536251f7bf0cd | [
"Apache-2.0"
] | 1 | 2022-02-27T03:01:06.000Z | 2022-02-27T03:01:06.000Z | afterglow_core/schemas/api/v1/jobs/field_cal_job.py | SkynetRTN/afterglow-access-server | 3d8d62f622577fdd1ae7b0076cb536251f7bf0cd | [
"Apache-2.0"
] | 2 | 2021-06-08T18:16:40.000Z | 2021-07-09T14:19:49.000Z | """
Afterglow Core: photometric calibration job schemas
"""
from typing import List as TList
from marshmallow.fields import Integer, List, Nested
from ..job import JobSchema, JobResultSchema
from ..field_cal import FieldCalSchema, FieldCalResultSchema
from ..photometry import PhotSettingsSchema
from .source_extracti... | 31.470588 | 72 | 0.774766 | 92 | 1,070 | 8.869565 | 0.434783 | 0.029412 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142991 | 1,070 | 33 | 73 | 32.424242 | 0.889858 | 0.047664 | 0 | 0 | 0 | 0 | 0.048467 | 0.02275 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29c7ff7b0f45d2d5b8a537d89fbcc9e55ee8907c | 2,692 | py | Python | Python/addRow.py | alexwu2021/practice | ff786d4d16afdef3e031002d22b58a976c8ed16b | [
"MIT"
] | null | null | null | Python/addRow.py | alexwu2021/practice | ff786d4d16afdef3e031002d22b58a976c8ed16b | [
"MIT"
] | 1 | 2021-11-22T05:54:33.000Z | 2021-11-22T05:54:33.000Z | Python/addRow.py | alexwu2021/practice | ff786d4d16afdef3e031002d22b58a976c8ed16b | [
"MIT"
] | null | null | null | #import unittest
def addRow(r, d, v):
dmo = []
getHeightAndMore(r, 0, dmo, d)
if len(dmo) <= 0:
print ('no way to add row for no d-1 nodes found')
return
print('dmo has %d' % len(dmo))
print('dmo: %s' % ','.join([str(x.val) for x in dmo]))
for n in dmo:
left, right = N... | 23.206897 | 154 | 0.556092 | 398 | 2,692 | 3.673367 | 0.170854 | 0.073871 | 0.057456 | 0.069767 | 0.120383 | 0.087551 | 0.087551 | 0.04788 | 0.04788 | 0 | 0 | 0.020321 | 0.305349 | 2,692 | 115 | 155 | 23.408696 | 0.761497 | 0.094725 | 0 | 0.139535 | 0 | 0 | 0.043299 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0 | 0 | 0.151163 | 0.162791 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29cb4ed39bb073f7561e68074f27a72bbc5b7c7c | 7,167 | py | Python | tests/test_editor_common.py | jpfxgood/ped | f753ca27e4462c321ed28f00e1ef47fbde62990e | [
"MIT"
] | null | null | null | tests/test_editor_common.py | jpfxgood/ped | f753ca27e4462c321ed28f00e1ef47fbde62990e | [
"MIT"
] | 21 | 2020-07-03T13:14:15.000Z | 2020-07-14T14:27:43.000Z | tests/test_editor_common.py | jpfxgood/ped | f753ca27e4462c321ed28f00e1ef47fbde62990e | [
"MIT"
] | null | null | null | from ped_core import editor_common
import io
import pprint
import os
import curses
import curses.ascii
import time
import re
from ped_core import keymap
from ped_core import keytab
from ped_core import clipboard
from ped_test_util import read_str, match_attr, undo_all, window_pos, play_macro, validate_mark, validate_sc... | 40.954286 | 205 | 0.599972 | 960 | 7,167 | 4.320833 | 0.194792 | 0.052314 | 0.082208 | 0.077869 | 0.425747 | 0.391273 | 0.36162 | 0.324012 | 0.293153 | 0.283028 | 0 | 0.036176 | 0.255616 | 7,167 | 174 | 206 | 41.189655 | 0.741331 | 0.001814 | 0 | 0.391566 | 0 | 0 | 0.052161 | 0.003356 | 0 | 0 | 0 | 0 | 0.373494 | 1 | 0.036145 | false | 0 | 0.078313 | 0 | 0.114458 | 0.012048 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29cf80f6c6965927720d1b295a0c8b626681599d | 254 | py | Python | Store/robot-test/say.py | Quanta-Robotics/Robot-Blueberry | 7b7e77e09ac5e9ec5afd947e0db1ecc8773e56da | [
"MIT"
] | 25 | 2021-06-08T07:09:30.000Z | 2021-12-30T06:28:35.000Z | Store/robot-test/say.py | ICT-CoU/Robot-Blueberry | d19fd1be037df9d67de64df57a87006d74cd6c43 | [
"MIT"
] | 2 | 2021-05-23T12:54:51.000Z | 2021-06-07T17:47:56.000Z | Store/robot-test/say.py | ICT-CoU/Robot-Blueberry | d19fd1be037df9d67de64df57a87006d74cd6c43 | [
"MIT"
] | 14 | 2021-06-08T13:02:28.000Z | 2021-12-30T20:07:18.000Z | import pyttsx3
engine = pyttsx3.init()
engine.setProperty('rate', 150)
voices = engine.getProperty('voices')
engine.setProperty("voice", 'english_rp+f4')
def talk(text):
engine.say(text)
engine.runAndWait()
talk("My name is robot leena")
| 15.875 | 44 | 0.704724 | 33 | 254 | 5.393939 | 0.69697 | 0.191011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02765 | 0.145669 | 254 | 15 | 45 | 16.933333 | 0.792627 | 0 | 0 | 0 | 0 | 0 | 0.198413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29d3aa7dc92ae861ca049b62d573cabdb669506d | 1,579 | py | Python | tests/integration/test_dug_utils.py | helxplatform/roger | 60c1c1198c41949804692217c74848e2aa8b9ea2 | [
"MIT"
] | null | null | null | tests/integration/test_dug_utils.py | helxplatform/roger | 60c1c1198c41949804692217c74848e2aa8b9ea2 | [
"MIT"
] | 7 | 2021-04-08T12:17:27.000Z | 2022-02-08T23:12:32.000Z | tests/integration/test_dug_utils.py | helxplatform/roger | 60c1c1198c41949804692217c74848e2aa8b9ea2 | [
"MIT"
] | 3 | 2020-12-07T20:49:43.000Z | 2021-06-12T19:49:43.000Z | import tempfile
from pathlib import Path
import pytest
from dug_helpers.dug_utils import FileFetcher, get_topmed_files, get_dbgap_files
from roger.Config import config
def test_fetch_network_file():
filename = "README.md"
with tempfile.TemporaryDirectory() as tmp_dir:
fetch1 = FileFetcher(
... | 26.316667 | 80 | 0.640912 | 184 | 1,579 | 5.266304 | 0.277174 | 0.049536 | 0.04128 | 0.099071 | 0.573787 | 0.50774 | 0.468524 | 0.385965 | 0.385965 | 0.385965 | 0 | 0.003439 | 0.263458 | 1,579 | 60 | 81 | 26.316667 | 0.829751 | 0 | 0 | 0.444444 | 0 | 0 | 0.107595 | 0.056962 | 0 | 0 | 0 | 0 | 0.133333 | 1 | 0.088889 | false | 0 | 0.111111 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29d584e58250f68d3fe99344f92ca1d026fcfaa6 | 6,915 | py | Python | tests/bean_test.py | samuelchen/truepy | f1fd86ffccf7c3b2eee4cd4ced9436ff832d257e | [
"OpenSSL"
] | 40 | 2015-08-04T11:01:33.000Z | 2022-01-17T10:45:18.000Z | tests/bean_test.py | samuelchen/truepy | f1fd86ffccf7c3b2eee4cd4ced9436ff832d257e | [
"OpenSSL"
] | 9 | 2016-09-14T04:40:58.000Z | 2021-07-22T09:07:51.000Z | tests/bean_test.py | samuelchen/truepy | f1fd86ffccf7c3b2eee4cd4ced9436ff832d257e | [
"OpenSSL"
] | 13 | 2015-02-24T05:39:10.000Z | 2022-02-03T00:41:53.000Z | # coding: utf-8
# truepy
# Copyright (C) 2014-2015 Moses Palmér
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# Th... | 32.013889 | 79 | 0.572523 | 717 | 6,915 | 5.343096 | 0.232915 | 0.082224 | 0.021926 | 0.022187 | 0.321587 | 0.249804 | 0.165492 | 0.151397 | 0.087967 | 0.074393 | 0 | 0.010553 | 0.314823 | 6,915 | 215 | 80 | 32.162791 | 0.798016 | 0.175127 | 0 | 0.409396 | 0 | 0 | 0.16316 | 0.029066 | 0 | 0 | 0 | 0.004651 | 0.174497 | 1 | 0.134228 | false | 0.013423 | 0.04698 | 0.020134 | 0.248322 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29d6295eb61db2d065b900e834740080a6c5d3ff | 3,679 | py | Python | normal_version/export_es_data.py | Logistic98/es-data-transfer | 6ed916201e8ab701e258e156e2c71468a3c509e5 | [
"Apache-2.0"
] | 1 | 2022-03-23T05:22:41.000Z | 2022-03-23T05:22:41.000Z | normal_version/export_es_data.py | Logistic98/es-data-transfer | 6ed916201e8ab701e258e156e2c71468a3c509e5 | [
"Apache-2.0"
] | null | null | null | normal_version/export_es_data.py | Logistic98/es-data-transfer | 6ed916201e8ab701e258e156e2c71468a3c509e5 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from elasticsearch import Elasticsearch
from datetime import timedelta
import datetime
import os
import json
import logging
from configparser import ConfigParser
# 生成日志文件
logging.basicConfig(filename='logging_es.log', level=logging.INFO,
format='%(asctime)s - %(name)s - %(l... | 32.27193 | 84 | 0.57271 | 455 | 3,679 | 4.362637 | 0.292308 | 0.051385 | 0.036272 | 0.042317 | 0.125945 | 0.080605 | 0.057431 | 0.057431 | 0.029219 | 0.029219 | 0 | 0.010491 | 0.274531 | 3,679 | 113 | 85 | 32.557522 | 0.733233 | 0.055178 | 0 | 0.090909 | 0 | 0 | 0.148342 | 0.04014 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034091 | false | 0.034091 | 0.079545 | 0 | 0.125 | 0.102273 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29dae29f89683a7db968db7356c874c048160ba7 | 2,645 | py | Python | cnmodel/util/expfitting.py | pbmanis/cnmodel | eee593c673752c19137658d5b9a381ea9ad4580f | [
"BSD-3-Clause"
] | 5 | 2017-07-26T21:46:14.000Z | 2020-11-27T07:53:14.000Z | cnmodel/util/expfitting.py | pbmanis/cnmodel | eee593c673752c19137658d5b9a381ea9ad4580f | [
"BSD-3-Clause"
] | 12 | 2017-07-26T07:16:16.000Z | 2021-07-14T13:41:37.000Z | cnmodel/util/expfitting.py | pbmanis/cnmodel | eee593c673752c19137658d5b9a381ea9ad4580f | [
"BSD-3-Clause"
] | 10 | 2017-07-26T07:03:29.000Z | 2021-06-23T15:52:37.000Z | #!/usr/bin/env python
# encoding: utf-8
"""
expfitting.py
Provide single or double exponential fits to data.
"""
import lmfit
import numpy as np
import scipy.optimize
class ExpFitting:
"""
Parameters
----------
nexp : int
1 or 2 for single or double exponential fit
initpars : dict
... | 33.910256 | 92 | 0.485444 | 349 | 2,645 | 3.644699 | 0.34384 | 0.051887 | 0.028302 | 0.018868 | 0.258648 | 0.207547 | 0.207547 | 0.179245 | 0.179245 | 0.144654 | 0 | 0.052033 | 0.367864 | 2,645 | 77 | 93 | 34.350649 | 0.708732 | 0.196219 | 0 | 0.086957 | 0 | 0 | 0.018474 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.130435 | false | 0 | 0.065217 | 0.086957 | 0.326087 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29db5cdc597125eaa323b36fcd83763a78a5f8f9 | 4,338 | py | Python | django_cloud_tasks/models.py | joaodaher/django-cloud-tasks | bc8ff94a281bda8b49ee73229d5ed5cacdd7a388 | [
"Apache-2.0"
] | null | null | null | django_cloud_tasks/models.py | joaodaher/django-cloud-tasks | bc8ff94a281bda8b49ee73229d5ed5cacdd7a388 | [
"Apache-2.0"
] | 1 | 2020-07-09T17:48:19.000Z | 2020-07-09T17:53:33.000Z | django_cloud_tasks/models.py | joaodaher/django-cloud-tasks | bc8ff94a281bda8b49ee73229d5ed5cacdd7a388 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=no-member
from datetime import datetime
from typing import Optional, Dict
from django.db import transaction, models
from django.apps import apps
from django_cloud_tasks import tasks, serializers
class Pipeline(models.Model):
name = models.CharField(max_length=100)
def start(self):
r... | 31.434783 | 109 | 0.642692 | 487 | 4,338 | 5.581109 | 0.289528 | 0.02649 | 0.029433 | 0.032377 | 0.269316 | 0.228845 | 0.160412 | 0.13245 | 0.073584 | 0.038263 | 0 | 0.002774 | 0.251959 | 4,338 | 137 | 110 | 31.664234 | 0.834823 | 0.074228 | 0 | 0.20354 | 0 | 0 | 0.10399 | 0.037905 | 0 | 0 | 0 | 0.007299 | 0 | 1 | 0.079646 | false | 0 | 0.044248 | 0.00885 | 0.327434 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29db5eb5db45a035903363004257142de128c253 | 2,913 | py | Python | src/ifood/model/order/event.py | micael95/sdk-ifood-python | 27462d8127b62a29b5c89624e79accbea9563a80 | [
"MIT"
] | 2 | 2021-05-06T18:50:43.000Z | 2021-06-05T21:54:04.000Z | src/ifood/model/order/event.py | micael95/sdk-ifood-python | 27462d8127b62a29b5c89624e79accbea9563a80 | [
"MIT"
] | null | null | null | src/ifood/model/order/event.py | micael95/sdk-ifood-python | 27462d8127b62a29b5c89624e79accbea9563a80 | [
"MIT"
] | 1 | 2021-05-06T18:50:54.000Z | 2021-05-06T18:50:54.000Z | from datetime import datetime
from uuid import UUID
from ...serializer import IfoodSerializable
from ...utils import auto_str
from uuid import UUID
@auto_str
class Consumer(IfoodSerializable):
financial_occurrence: str
payment_type: str
@staticmethod
def unserialize(dict=None):
if dict is No... | 26.243243 | 119 | 0.610711 | 307 | 2,913 | 5.641694 | 0.192182 | 0.009238 | 0.057737 | 0.069284 | 0.42552 | 0.405889 | 0.360855 | 0.360855 | 0.327945 | 0.327945 | 0 | 0 | 0.311363 | 2,913 | 110 | 120 | 26.481818 | 0.86341 | 0 | 0 | 0.438202 | 0 | 0 | 0.019567 | 0.007896 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067416 | false | 0.011236 | 0.05618 | 0 | 0.426966 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29dc92373ea8f436e4e33eb083ad67d7e28abdae | 2,599 | py | Python | scripts/pm/set_sla_kpis.py | supsi-dacd-isaac/parity-sidechain-interface | b64a5fb724955332afb4998344081d1b93ac216a | [
"MIT"
] | null | null | null | scripts/pm/set_sla_kpis.py | supsi-dacd-isaac/parity-sidechain-interface | b64a5fb724955332afb4998344081d1b93ac216a | [
"MIT"
] | null | null | null | scripts/pm/set_sla_kpis.py | supsi-dacd-isaac/parity-sidechain-interface | b64a5fb724955332afb4998344081d1b93ac216a | [
"MIT"
] | null | null | null | # Importing section
import json
import requests
import argparse
import logging
import time
import datetime
from classes.time_utils import TimeUtils
import utilities as u
# Main
if __name__ == "__main__":
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument('-c', help='config file')
arg_parser.ad... | 33.320513 | 106 | 0.614082 | 302 | 2,599 | 5.129139 | 0.39404 | 0.027114 | 0.019367 | 0.036798 | 0.205294 | 0.205294 | 0.136862 | 0.136862 | 0.136862 | 0 | 0 | 0.001009 | 0.237014 | 2,599 | 77 | 107 | 33.753247 | 0.780131 | 0.083109 | 0 | 0.111111 | 0 | 0 | 0.205474 | 0.050526 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.148148 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29dd6adf13db2f5c89c5474bb138c114f67d7138 | 4,506 | py | Python | mac/pyobjc-framework-Quartz/Examples/Core Image/CIBevelSample/CIBevelView.py | albertz/music-player | d23586f5bf657cbaea8147223be7814d117ae73d | [
"BSD-2-Clause"
] | 132 | 2015-01-01T10:02:42.000Z | 2022-03-09T12:51:01.000Z | mac/pyobjc-framework-Quartz/Examples/Core Image/CIBevelSample/CIBevelView.py | mba811/music-player | 7998986b34cfda2244ef622adefb839331b81a81 | [
"BSD-2-Clause"
] | 6 | 2015-01-06T08:23:19.000Z | 2019-03-14T12:22:06.000Z | mac/pyobjc-framework-Quartz/Examples/Core Image/CIBevelSample/CIBevelView.py | mba811/music-player | 7998986b34cfda2244ef622adefb839331b81a81 | [
"BSD-2-Clause"
] | 27 | 2015-02-23T11:51:43.000Z | 2022-03-07T02:34:18.000Z | from Cocoa import *
from Quartz import *
from SampleCIView import SampleCIView
from math import sin
import objc
NUM_POINTS=4
class CIBevelView (SampleCIView):
currentPoint = objc.ivar(type=objc._C_INT)
points = objc.ivar()
angleTime = objc.ivar(type=objc._C_FLT)
lineIm... | 36.634146 | 126 | 0.630715 | 471 | 4,506 | 5.906582 | 0.312102 | 0.061107 | 0.01977 | 0.052121 | 0.141625 | 0.050324 | 0.037383 | 0 | 0 | 0 | 0 | 0.023767 | 0.262317 | 4,506 | 122 | 127 | 36.934426 | 0.813177 | 0.031735 | 0 | 0.078652 | 0 | 0 | 0.052088 | 0.004819 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05618 | false | 0 | 0.05618 | 0 | 0.224719 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29e24314b4b43a27db5d5e7fb35c4c927a75f669 | 4,226 | py | Python | oops_fhir/r4/code_system/request_intent.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/code_system/request_intent.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/code_system/request_intent.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | from pathlib import Path
from fhir.resources.codesystem import CodeSystem
from oops_fhir.utils import CodeSystemConcept
__all__ = ["RequestIntent"]
_resource = CodeSystem.parse_file(Path(__file__).with_suffix(".json"))
class RequestIntent:
"""
RequestIntent
Codes indicating the degree of authority/i... | 35.813559 | 266 | 0.600331 | 428 | 4,226 | 5.897196 | 0.32243 | 0.051506 | 0.087163 | 0.083201 | 0.513471 | 0.481775 | 0.452456 | 0.452456 | 0.452456 | 0.452456 | 0 | 0.001397 | 0.322291 | 4,226 | 117 | 267 | 36.119658 | 0.879888 | 0.046616 | 0 | 0.059701 | 0 | 0.074627 | 0.527142 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.044776 | 0 | 0.149254 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29e35c162bb13bbac4bbfa70c3c033b9eb162d1c | 266 | py | Python | ABC/202/b.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | ABC/202/b.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | ABC/202/b.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | def main():
# input
S = list(input())
# compute
for i,s in enumerate(S):
if s == '6':
S[i] = '9'
elif s == '9':
S[i] = '6'
# output
print(''.join(reversed(S)))
if __name__ == '__main__':
main()
| 14.777778 | 31 | 0.406015 | 34 | 266 | 2.941176 | 0.558824 | 0.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025157 | 0.402256 | 266 | 17 | 32 | 15.647059 | 0.603774 | 0.075188 | 0 | 0 | 0 | 0 | 0.049587 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.1 | 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 |
29e60f021e4805e18f02c579cb9365d85a32c49b | 371 | py | Python | test_game.py | thom1555/euchre | f2fa54fcecb5deeaad2e750e8cda04c94eb1e1e9 | [
"Apache-2.0"
] | null | null | null | test_game.py | thom1555/euchre | f2fa54fcecb5deeaad2e750e8cda04c94eb1e1e9 | [
"Apache-2.0"
] | null | null | null | test_game.py | thom1555/euchre | f2fa54fcecb5deeaad2e750e8cda04c94eb1e1e9 | [
"Apache-2.0"
] | null | null | null | import unittest
from game import Game
from suit import Suit
class TestGame(unittest.TestCase):
def test_setup(self):
g = Game('tim', 'rick', 'bob', 'james', 'ballers', 'scrubs')
self.assertEqual(len(g.players), 4)
self.assertEqual(g.dealer, 0)
self.assertEqual(g.trump, Suit.spades... | 21.823529 | 68 | 0.6469 | 48 | 371 | 4.8125 | 0.625 | 0.194805 | 0.138528 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006826 | 0.210243 | 371 | 16 | 69 | 23.1875 | 0.78157 | 0 | 0 | 0 | 0 | 0 | 0.097035 | 0 | 0 | 0 | 0 | 0 | 0.272727 | 1 | 0.090909 | false | 0 | 0.272727 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29ea1aef1c82bd772907c42e68df319791525947 | 6,824 | py | Python | Render2018/lib/create_config_bodyflow.py | BigOto2/BlenderRenderDNS | a8ff239ecffef5217f0db35d579227a0a444c32d | [
"MIT"
] | 1 | 2021-07-28T00:42:39.000Z | 2021-07-28T00:42:39.000Z | Render2018/lib/create_config_bodyflow.py | BigOto2/BlenderRenderDNS | a8ff239ecffef5217f0db35d579227a0a444c32d | [
"MIT"
] | null | null | null | Render2018/lib/create_config_bodyflow.py | BigOto2/BlenderRenderDNS | a8ff239ecffef5217f0db35d579227a0a444c32d | [
"MIT"
] | 1 | 2019-05-13T17:38:05.000Z | 2019-05-13T17:38:05.000Z | import os.path
import configparser
from dircheck import get_yesno_input
import create_jobscripts
from create_dirname_config import config_dirname_cfg
from create_all_dirs import create_all
import socket
import cgns_load_data
# Script that creates the two configuration files (case and render files) necessary to run the ... | 56.396694 | 286 | 0.75381 | 980 | 6,824 | 5.010204 | 0.242857 | 0.063136 | 0.058045 | 0.034216 | 0.275153 | 0.205092 | 0.164766 | 0.129532 | 0.105906 | 0.092057 | 0 | 0.00728 | 0.134379 | 6,824 | 120 | 287 | 56.866667 | 0.823938 | 0.228751 | 0 | 0.049383 | 0 | 0.049383 | 0.350391 | 0.029024 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.024691 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29eb3307185eaf4daecd050d3551f86ee4f012bf | 1,004 | py | Python | util/replicate.py | ZvonimirSun/janusgraph-utils | c10e7b3ccb7c56c7662053d9d8b1d0bcb0a20bb8 | [
"Apache-2.0"
] | 204 | 2017-08-10T02:36:53.000Z | 2022-03-11T12:21:18.000Z | util/replicate.py | HsbcJone/Jaunsgraph-LoadBulkData-Utils- | 9c4e3b0c0b9f9966ab43422929ae5ea4993b3bb8 | [
"Apache-2.0"
] | 37 | 2017-08-16T01:06:02.000Z | 2020-08-05T02:30:18.000Z | util/replicate.py | HsbcJone/Jaunsgraph-LoadBulkData-Utils- | 9c4e3b0c0b9f9966ab43422929ae5ea4993b3bb8 | [
"Apache-2.0"
] | 103 | 2017-08-29T14:17:32.000Z | 2022-03-07T14:30:48.000Z | #!/usr/bin/python
import sys
import simplejson as json
def replicate_vertex(conf,pos, i):
p = conf["VertexTypes"][pos]["columns"]["T{}-P1".format(pos+1)]
for x in range(2, i+1):
new_key = "T{}-P{}".format(pos+1, str(x))
conf["VertexTypes"][pos]["columns"][new_key] = p
return conf
def replicate_edge(conf, pos, ... | 32.387097 | 77 | 0.62749 | 184 | 1,004 | 3.320652 | 0.255435 | 0.126023 | 0.10802 | 0.090016 | 0.700491 | 0.620295 | 0.620295 | 0.558101 | 0.459902 | 0.420622 | 0 | 0.031638 | 0.118526 | 1,004 | 30 | 78 | 33.466667 | 0.658757 | 0.015936 | 0 | 0.166667 | 0 | 0 | 0.109422 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.083333 | 0 | 0.291667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29eb4a3f8932c013c8f2635314e11c22d12e4148 | 1,602 | py | Python | commands/fight.py | AlexMog/IRCPokemonBot | 0a735f262ce06ecd4c3b702094cf4b78e3cd7c45 | [
"MIT"
] | 2 | 2015-06-10T12:16:53.000Z | 2016-03-09T22:43:43.000Z | commands/fight.py | AlexMog/IRCPokemonBot | 0a735f262ce06ecd4c3b702094cf4b78e3cd7c45 | [
"MIT"
] | null | null | null | commands/fight.py | AlexMog/IRCPokemonBot | 0a735f262ce06ecd4c3b702094cf4b78e3cd7c45 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
import copy
import random
from classes.Pokemons import *
from classes.Battle import *
def fight(connection, canal, auteur, cmds, canalobj, mogbot):
user = mogbot.getUserManager().findUser(auteur)
if user == False:
connection.privmsg(canal, auteur + " je ne te trouve pas dans la ... | 40.05 | 173 | 0.585518 | 192 | 1,602 | 4.885417 | 0.484375 | 0.108742 | 0.140725 | 0.089552 | 0.166311 | 0.057569 | 0 | 0 | 0 | 0 | 0 | 0.009857 | 0.303371 | 1,602 | 39 | 174 | 41.076923 | 0.830645 | 0.013109 | 0 | 0.147059 | 0 | 0.029412 | 0.193794 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.117647 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29ebeb3c0f6aa2c670636976b54b4c234e9cc858 | 3,356 | py | Python | horizon_hpe_storage/storage_panel/config/software_tests/forms.py | hp-storage/horizon-ssmc-link | f419ecf2a545a79f1ff6628dc26f31dfb7c84996 | [
"Apache-2.0"
] | 1 | 2017-01-07T13:45:57.000Z | 2017-01-07T13:45:57.000Z | horizon_hpe_storage/storage_panel/config/software_tests/forms.py | hp-storage/horizon-ssmc-link | f419ecf2a545a79f1ff6628dc26f31dfb7c84996 | [
"Apache-2.0"
] | null | null | null | horizon_hpe_storage/storage_panel/config/software_tests/forms.py | hp-storage/horizon-ssmc-link | f419ecf2a545a79f1ff6628dc26f31dfb7c84996 | [
"Apache-2.0"
] | null | null | null | # 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, software
# distributed under t... | 44.157895 | 78 | 0.616508 | 364 | 3,356 | 5.510989 | 0.343407 | 0.038385 | 0.042373 | 0.057328 | 0.542871 | 0.516949 | 0.501496 | 0.501496 | 0.460618 | 0.460618 | 0 | 0.008061 | 0.297676 | 3,356 | 75 | 79 | 44.746667 | 0.843021 | 0.155542 | 0 | 0.690909 | 0 | 0 | 0.119419 | 0.02197 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0 | 0.127273 | 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 |
29ecd056c8357be81181e47ac71a968400c85cc9 | 1,396 | py | Python | tests/test_liquidity_provider_factory.py | diem/liquidity-emulator | 255cccd06c0949750e42e93906b083e915ddf505 | [
"Apache-2.0"
] | 2 | 2021-11-29T06:00:59.000Z | 2022-01-27T18:42:29.000Z | tests/test_liquidity_provider_factory.py | hengkyherdianto/liquidity-emulator | 255cccd06c0949750e42e93906b083e915ddf505 | [
"Apache-2.0"
] | 1 | 2021-01-31T09:14:05.000Z | 2021-02-01T07:43:41.000Z | tests/test_liquidity_provider_factory.py | hengkyherdianto/liquidity-emulator | 255cccd06c0949750e42e93906b083e915ddf505 | [
"Apache-2.0"
] | 4 | 2021-02-15T14:45:04.000Z | 2022-03-03T02:32:45.000Z | from diem import chain_ids
from liquidity import create_liquidity_provider, init_liquidity_provider
from liquidity.liquidity import FaucetLiquidityProvider, DDLiquidityProvider
CUSTODY_PRIVATE_KEYS = (
'{"liquidity":"c6537e56d844fa4a15f3bf5eacd41c9123a19ef19a1026f2325a6b2dd33a13f1"}'
)
def test_faucet_liquidity... | 33.238095 | 86 | 0.809456 | 152 | 1,396 | 7.013158 | 0.25 | 0.175422 | 0.135084 | 0.075985 | 0.672608 | 0.634146 | 0.634146 | 0.566604 | 0.566604 | 0.566604 | 0 | 0.031553 | 0.114613 | 1,396 | 41 | 87 | 34.04878 | 0.830906 | 0 | 0 | 0.6 | 0 | 0 | 0.117479 | 0.057307 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29f10336d5ea889a3a24c9c3648237cbdaee7b65 | 5,586 | py | Python | tools/remote_debugger.py | budelius/openstreetmap-heatmap | f7376671eecda68955b8edc016c63218c5ebc6a2 | [
"Apache-2.0"
] | null | null | null | tools/remote_debugger.py | budelius/openstreetmap-heatmap | f7376671eecda68955b8edc016c63218c5ebc6a2 | [
"Apache-2.0"
] | null | null | null | tools/remote_debugger.py | budelius/openstreetmap-heatmap | f7376671eecda68955b8edc016c63218c5ebc6a2 | [
"Apache-2.0"
] | null | null | null | """
Remote debugging support.
This addon allows you to use a remote Python debugger with PyCharm, PyDev and
possibly other IDEs. As it is, without modification, it only supports PyCharm,
but it may work by pointing it at a similar egg file shipped with PyDev.
Before using, point the addon to your pycharm-debug-py3k.e... | 30.692308 | 100 | 0.674544 | 703 | 5,586 | 5.194879 | 0.308677 | 0.032859 | 0.019715 | 0.031216 | 0.328587 | 0.268894 | 0.215225 | 0.197152 | 0.079956 | 0.079956 | 0 | 0.012189 | 0.236305 | 5,586 | 181 | 101 | 30.861878 | 0.843882 | 0.209273 | 0 | 0.186916 | 0 | 0 | 0.194832 | 0.023325 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065421 | false | 0 | 0.074766 | 0 | 0.317757 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29f1f4d867171d615c82f43e02801e5ac479dcd4 | 2,247 | py | Python | todo/views/accepted_petitions.py | josalhor/WebModels | 6b9cde3141c53562f40b129e6e1c87448ce9853a | [
"BSD-3-Clause"
] | null | null | null | todo/views/accepted_petitions.py | josalhor/WebModels | 6b9cde3141c53562f40b129e6e1c87448ce9853a | [
"BSD-3-Clause"
] | 41 | 2021-03-23T12:58:25.000Z | 2021-05-25T11:38:42.000Z | todo/views/accepted_petitions.py | josalhor/WebModels | 6b9cde3141c53562f40b129e6e1c87448ce9853a | [
"BSD-3-Clause"
] | null | null | null | import datetime
from django.contrib import messages
from django.contrib.auth.decorators import login_required, user_passes_test
from django.http import HttpResponse
from django.shortcuts import render
from .book_assign import send_email_reject_book
from todo.forms import SearchForm
from todo.models import Task, Book,... | 31.208333 | 151 | 0.668002 | 272 | 2,247 | 5.375 | 0.319853 | 0.062244 | 0.046512 | 0.045144 | 0.150479 | 0.073871 | 0 | 0 | 0 | 0 | 0 | 0.000577 | 0.229194 | 2,247 | 71 | 152 | 31.647887 | 0.843533 | 0 | 0 | 0.072727 | 0 | 0 | 0.102804 | 0.012461 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018182 | false | 0.018182 | 0.145455 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29f6bfc61051a4c8d3929a3bb610dca313e55859 | 7,696 | py | Python | ajustes_UM/tesis/tesis/settings.py | abelgonzalez/ajustes | f6f99aea18cfb82750805321abfc822d8a6ec5ed | [
"MIT"
] | 1 | 2015-03-04T13:04:33.000Z | 2015-03-04T13:04:33.000Z | ajustes_UM/tesis/tesis/settings.py | abelgonzalez/ajustes | f6f99aea18cfb82750805321abfc822d8a6ec5ed | [
"MIT"
] | null | null | null | ajustes_UM/tesis/tesis/settings.py | abelgonzalez/ajustes | f6f99aea18cfb82750805321abfc822d8a6ec5ed | [
"MIT"
] | null | null | null | """
Django settings for tesis project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# -*- coding: utf-8 -*-
# A tuple that lists people who get code error notifi... | 34.204444 | 120 | 0.721674 | 1,045 | 7,696 | 5.226794 | 0.394258 | 0.015379 | 0.016477 | 0.024167 | 0.145002 | 0.100513 | 0.067192 | 0.039912 | 0.025998 | 0.011351 | 0 | 0.007677 | 0.170608 | 7,696 | 225 | 121 | 34.204444 | 0.848034 | 0.594335 | 0 | 0.020408 | 0 | 0.010204 | 0.401448 | 0.246134 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.030612 | 0 | 0.030612 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29f709dd701c60c4489620b7e5b46e5aca1a0daf | 7,468 | py | Python | code/lib/models/FCRN_depth.py | santomon/taskonomy | 4b22087a2686172b21b61589831061e7a386fe36 | [
"MIT"
] | 789 | 2018-03-21T05:28:38.000Z | 2022-03-29T19:32:47.000Z | code/lib/models/FCRN_depth.py | santomon/taskonomy | 4b22087a2686172b21b61589831061e7a386fe36 | [
"MIT"
] | 46 | 2018-05-03T07:11:10.000Z | 2022-03-11T23:26:03.000Z | code/lib/models/FCRN_depth.py | santomon/taskonomy | 4b22087a2686172b21b61589831061e7a386fe36 | [
"MIT"
] | 152 | 2018-03-24T10:20:44.000Z | 2022-02-09T02:38:10.000Z |
from __future__ import absolute_import, division, print_function
from models.base_net import BaseNet
import losses.all as losses_lib
import tensorflow as tf
import tensorflow.contrib.slim as slim
import numpy as np
import pdb
import optimizers.train_steps as train_steps
import optimizers.ops as optimize
from functo... | 38.494845 | 152 | 0.622657 | 920 | 7,468 | 4.827174 | 0.245652 | 0.024769 | 0.014636 | 0.012159 | 0.094348 | 0.061923 | 0.047512 | 0.047512 | 0.047512 | 0.047512 | 0 | 0.009542 | 0.29834 | 7,468 | 193 | 153 | 38.694301 | 0.837977 | 0.301285 | 0 | 0.121212 | 0 | 0 | 0.071488 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080808 | false | 0 | 0.121212 | 0 | 0.272727 | 0.030303 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29f82c973044d39870f0f41f75666b3782377f54 | 13,459 | py | Python | tests/test_handler.py | Tas-Kit/platform | 34e1abb3f85b9649cbf18496333bf35f74aa6e3d | [
"Apache-2.0"
] | null | null | null | tests/test_handler.py | Tas-Kit/platform | 34e1abb3f85b9649cbf18496333bf35f74aa6e3d | [
"Apache-2.0"
] | null | null | null | tests/test_handler.py | Tas-Kit/platform | 34e1abb3f85b9649cbf18496333bf35f74aa6e3d | [
"Apache-2.0"
] | null | null | null | # trigger build
import json
import uuid
import pytest
from mock import MagicMock, patch
from src import handler, db
from src.models import User, MiniApp, TObject
from src.constants import ROLE
from werkzeug.exceptions import BadRequest
@patch('src.db.push', side_effect=Exception)
def test_execute_obj_post_exception(m... | 31.155093 | 141 | 0.666691 | 1,762 | 13,459 | 4.729285 | 0.093644 | 0.037442 | 0.051482 | 0.043202 | 0.602184 | 0.529941 | 0.478219 | 0.436217 | 0.388576 | 0.343094 | 0 | 0.017786 | 0.197934 | 13,459 | 431 | 142 | 31.227378 | 0.754145 | 0.000966 | 0 | 0.434667 | 0 | 0.002667 | 0.136641 | 0.04039 | 0 | 0 | 0 | 0 | 0.125333 | 1 | 0.085333 | false | 0 | 0.021333 | 0.008 | 0.117333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29f8d1a4f8b0cea46b5286a6c9367ca7d6ae25dc | 579 | py | Python | ersilia/utils/identifiers/long.py | ersilia-os/ersilia | eded117d6c7029ce4a497effdb514c21edfe3673 | [
"MIT"
] | 32 | 2020-07-30T20:31:05.000Z | 2022-03-31T17:27:14.000Z | ersilia/utils/identifiers/long.py | ersilia-os/ersilia | eded117d6c7029ce4a497effdb514c21edfe3673 | [
"MIT"
] | 59 | 2022-03-21T10:00:04.000Z | 2022-03-31T23:03:14.000Z | ersilia/utils/identifiers/long.py | ersilia-os/ersilia | eded117d6c7029ce4a497effdb514c21edfe3673 | [
"MIT"
] | 44 | 2022-03-17T13:11:07.000Z | 2022-03-31T19:44:16.000Z | try:
import uuid
except ModuleNotFoundError as err:
uuid = None
ALPHABET = "ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890"
PATTERN = [8, 4, 4, 4, 12]
SEP = "-"
class LongIdentifier(object):
def __init__(self):
super().__init__()
@staticmethod
def encode():
"""Get UUID code (long identifie... | 23.16 | 75 | 0.56304 | 62 | 579 | 5.112903 | 0.693548 | 0.07571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0425 | 0.309154 | 579 | 24 | 76 | 24.125 | 0.75 | 0.053541 | 0 | 0 | 0 | 0 | 0.070111 | 0.066421 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29f9eab4a69842a784121a1073e07bcadc752ced | 3,265 | py | Python | Realsense2CV.py | felix2072/pytorch-CycleGAN-and-pix2pix | 4980106ceab5e1eb7bb20c2b492d007b6310d9e1 | [
"BSD-3-Clause"
] | null | null | null | Realsense2CV.py | felix2072/pytorch-CycleGAN-and-pix2pix | 4980106ceab5e1eb7bb20c2b492d007b6310d9e1 | [
"BSD-3-Clause"
] | null | null | null | Realsense2CV.py | felix2072/pytorch-CycleGAN-and-pix2pix | 4980106ceab5e1eb7bb20c2b492d007b6310d9e1 | [
"BSD-3-Clause"
] | null | null | null | ## License: Apache 2.0. See LICENSE file in root directory.
## Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved.
###############################################
## Open CV and Numpy integration ##
###############################################
import pyrealsense2 as rs
import numpy a... | 34.368421 | 109 | 0.644717 | 440 | 3,265 | 4.625 | 0.397727 | 0.044226 | 0.025061 | 0.029484 | 0.043243 | 0.030467 | 0 | 0 | 0 | 0 | 0 | 0.049921 | 0.226953 | 3,265 | 94 | 110 | 34.734043 | 0.756339 | 0.280551 | 0 | 0 | 0 | 0 | 0.020609 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.056604 | 0 | 0.09434 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29fbb43e9c43f01cd5a84414b7fa4416473edd33 | 566 | py | Python | main.py | Benrflanders/Genetic-Algorithm-Function-Solver | 7234aed5478d0701f0f8ce342116ac154aa40ba1 | [
"MIT"
] | null | null | null | main.py | Benrflanders/Genetic-Algorithm-Function-Solver | 7234aed5478d0701f0f8ce342116ac154aa40ba1 | [
"MIT"
] | null | null | null | main.py | Benrflanders/Genetic-Algorithm-Function-Solver | 7234aed5478d0701f0f8ce342116ac154aa40ba1 | [
"MIT"
] | null | null | null | import genetic_algorithm
#where the population will be processed and the main loop is contained
#initialise population with random candidate solutions
print("Enter a function to be solved: \n")
fitness_function = [1780, 17, -2] #n = ax + by
#function: [n, a, b]
ga = genetic_algorithm.genetic_algorithm(fitness_func... | 21.769231 | 70 | 0.780919 | 79 | 566 | 5.531646 | 0.734177 | 0.10984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014553 | 0.150177 | 566 | 25 | 71 | 22.64 | 0.893971 | 0.65371 | 0 | 0 | 0 | 0 | 0.180328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29ffd5d34e2555908d5acb7cecdc5aad3a6e87bc | 1,983 | py | Python | src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py | aivaras-ciurlionis/meteo | 434759d16f7cca505d280475611d1fef5176827b | [
"MIT"
] | null | null | null | src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py | aivaras-ciurlionis/meteo | 434759d16f7cca505d280475611d1fef5176827b | [
"MIT"
] | 6 | 2020-05-23T11:30:48.000Z | 2022-03-11T23:45:06.000Z | src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py | aivaras-ciurlionis/meteo | 434759d16f7cca505d280475611d1fef5176827b | [
"MIT"
] | null | null | null | import tensorflow
from PIL import Image
from keras.models import Sequential
from keras.layers import Conv2D, Conv2DTranspose, ConvLSTM2D
from keras.optimizers import SGD
import numpy as np
import os
from keras import backend as K
from src.predictionAlgorithms.machineLearning.algorithms.ConvLSTM import ConvLstm
from sr... | 34.189655 | 104 | 0.611699 | 192 | 1,983 | 6.197917 | 0.479167 | 0.030252 | 0.068067 | 0.105882 | 0.087395 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027536 | 0.304085 | 1,983 | 58 | 105 | 34.189655 | 0.834783 | 0.020171 | 0 | 0.156863 | 0 | 0 | 0.030381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.235294 | 0 | 0.27451 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b00cec2aa25b2e4c87f0a86c86662d5e0d2edb1 | 1,927 | py | Python | batchtest.py | nachewigkeit/CropDefender | e78fc48f720367ca94033f6263eb1e4a9c6b7858 | [
"MIT"
] | 2 | 2021-10-14T08:14:15.000Z | 2021-12-01T05:57:49.000Z | batchtest.py | nachewigkeit/CropDefender | e78fc48f720367ca94033f6263eb1e4a9c6b7858 | [
"MIT"
] | null | null | null | batchtest.py | nachewigkeit/CropDefender | e78fc48f720367ca94033f6263eb1e4a9c6b7858 | [
"MIT"
] | 1 | 2021-12-01T05:57:53.000Z | 2021-12-01T05:57:53.000Z | import bchlib
from PIL import Image, ImageOps
import numpy as np
import glob
from tqdm import tqdm
import torch
import matplotlib.pyplot as plt
from model import StegaStampDecoder
BCH_POLYNOMIAL = 137
BCH_BITS = 5
def get_bits(secret="MITPBL"):
# 输入字符串,输出BCH码
bch = bchlib.BCH(BCH_POLYNOMIAL, BCH_BITS)
da... | 24.705128 | 79 | 0.63259 | 261 | 1,927 | 4.544061 | 0.448276 | 0.040472 | 0.026981 | 0.035413 | 0.040472 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028513 | 0.235599 | 1,927 | 77 | 80 | 25.025974 | 0.776646 | 0.043072 | 0 | 0.036364 | 0 | 0 | 0.044589 | 0.027189 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072727 | false | 0 | 0.145455 | 0 | 0.290909 | 0.018182 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b070ef3534dcec1b94204596a275dcc71c8d799 | 428 | py | Python | examples/echobot.py | samedamci/telegrask | 8cd0d7663e3a7386784396462f66c176bc6543c5 | [
"0BSD"
] | 4 | 2021-08-19T19:17:17.000Z | 2021-10-12T19:25:59.000Z | examples/echobot.py | samedamci/telegrask | 8cd0d7663e3a7386784396462f66c176bc6543c5 | [
"0BSD"
] | null | null | null | examples/echobot.py | samedamci/telegrask | 8cd0d7663e3a7386784396462f66c176bc6543c5 | [
"0BSD"
] | 1 | 2021-08-31T10:49:34.000Z | 2021-08-31T10:49:34.000Z | #!/usr/bin/python3
"""Simple bot to reply exactly the same what user sent to chat."""
# This program is dedicated to the public domain under the CC0 license.
from telegrask import Telegrask
bot = Telegrask("BOT_TOKEN")
@bot.command("echo", help="repeat user words", allow_without_prefix=True)
def echo(update, contex... | 25.176471 | 73 | 0.740654 | 64 | 428 | 4.765625 | 0.71875 | 0.078689 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00545 | 0.142523 | 428 | 16 | 74 | 26.75 | 0.825613 | 0.345794 | 0 | 0 | 0 | 0 | 0.139194 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 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 |
4b07a5e3542e7f446d97c19101d6130c567a06f9 | 2,238 | py | Python | lib/emailsmtp/models.py | hdknr/emailqueue | 05e108562f4fb612440f769973b9a3d02c11afcd | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | lib/emailsmtp/models.py | hdknr/emailqueue | 05e108562f4fb612440f769973b9a3d02c11afcd | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | lib/emailsmtp/models.py | hdknr/emailqueue | 05e108562f4fb612440f769973b9a3d02c11afcd | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
from emailqueue.models import BaseModel
class Domain(BaseModel):
'''Domain:
- used for :ref:`postfix.relay_domains`, :ref:`postfix.transport_maps`
'''
domain = models.CharField(
_('Domain'), max_length=50, u... | 29.84 | 76 | 0.636282 | 266 | 2,238 | 5.101504 | 0.300752 | 0.040531 | 0.017686 | 0.025055 | 0.149595 | 0.117907 | 0.117907 | 0.072218 | 0.072218 | 0.072218 | 0 | 0.009971 | 0.238159 | 2,238 | 74 | 77 | 30.243243 | 0.785924 | 0.058088 | 0 | 0.12766 | 0 | 0 | 0.069657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0 | 0.06383 | 0.042553 | 0.468085 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b0bae7ae91cfcfff2eabb361271fc8c258445e7 | 1,628 | py | Python | venv/Lib/site-packages/traits/tests/test_constant.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | 1 | 2022-01-18T17:56:51.000Z | 2022-01-18T17:56:51.000Z | venv/Lib/site-packages/traits/tests/test_constant.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | null | null | null | venv/Lib/site-packages/traits/tests/test_constant.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | null | null | null | # (C) Copyright 2005-2021 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at... | 29.6 | 71 | 0.625307 | 232 | 1,628 | 4.241379 | 0.362069 | 0.060976 | 0.042683 | 0.109756 | 0.429878 | 0.367886 | 0.367886 | 0.367886 | 0.262195 | 0.262195 | 0 | 0.044371 | 0.252457 | 1,628 | 54 | 72 | 30.148148 | 0.764174 | 0.238329 | 0 | 0.466667 | 0 | 0 | 0.00813 | 0 | 0 | 0 | 0 | 0 | 0.233333 | 1 | 0.133333 | false | 0 | 0.066667 | 0 | 0.366667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b0c74252519e1d0763eeba5100d8c404e0ec79d | 5,072 | py | Python | midap_simulator/packet_manager.py | cap-lab/MidapSim | 4f92a9f9413c29d7e1f37e863cce90ebdde8b420 | [
"MIT"
] | 2 | 2021-03-28T16:19:06.000Z | 2022-02-26T08:58:33.000Z | midap_simulator/packet_manager.py | cap-lab/MidapSim | 4f92a9f9413c29d7e1f37e863cce90ebdde8b420 | [
"MIT"
] | null | null | null | midap_simulator/packet_manager.py | cap-lab/MidapSim | 4f92a9f9413c29d7e1f37e863cce90ebdde8b420 | [
"MIT"
] | 1 | 2021-02-22T08:44:20.000Z | 2021-02-22T08:44:20.000Z | import mmap
import numpy as np
from time import sleep
import os
class PacketManager(object):
buf_size = 0x1000
packet_size = 2072
#typedef struct _Packet{
# PacketType type;
# uint32_t size;
# uint64_t cycle;
# uint32_t address;
# uint8_t data[8];
# uint32_t flags;
... | 33.813333 | 134 | 0.589708 | 634 | 5,072 | 4.580442 | 0.20347 | 0.034091 | 0.049242 | 0.052686 | 0.386364 | 0.32989 | 0.290634 | 0.278926 | 0.211777 | 0.198003 | 0 | 0.028841 | 0.268533 | 5,072 | 149 | 135 | 34.040268 | 0.753908 | 0.144322 | 0 | 0.225806 | 0 | 0 | 0.038666 | 0 | 0 | 0 | 0.002084 | 0 | 0 | 1 | 0.11828 | false | 0 | 0.043011 | 0 | 0.27957 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b0eec937bcf7b4132e9bab483c930a0a86d89bc | 3,824 | py | Python | amurlevel_model/model/train_test_split.py | RaevskyDN/aij2020-amur-noflood-public | d11349b1f8cc79c18bb078392731eac32b3c56ff | [
"Apache-2.0"
] | 7 | 2021-02-17T18:55:13.000Z | 2021-07-30T13:56:19.000Z | amurlevel_model/model/train_test_split.py | RaevskyDN/aij2020-amur-noflood-public | d11349b1f8cc79c18bb078392731eac32b3c56ff | [
"Apache-2.0"
] | null | null | null | amurlevel_model/model/train_test_split.py | RaevskyDN/aij2020-amur-noflood-public | d11349b1f8cc79c18bb078392731eac32b3c56ff | [
"Apache-2.0"
] | 1 | 2022-01-23T15:11:43.000Z | 2022-01-23T15:11:43.000Z | # -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
from datetime import date
from typing import Union,Tuple,Optional,List
from ..config_features import CATEGORICAL_FEATURES,NUMERICAL_FEATURES
from ..config import DAYS_FORECAST,ALL_STATIONS
from ..utils.normalizer import get_normalizer_stats
def train_tes... | 41.565217 | 117 | 0.636245 | 494 | 3,824 | 4.702429 | 0.244939 | 0.077486 | 0.068876 | 0.041326 | 0.355144 | 0.260439 | 0.191563 | 0.176496 | 0.104176 | 0.104176 | 0 | 0.008872 | 0.263075 | 3,824 | 92 | 118 | 41.565217 | 0.815472 | 0.250523 | 0 | 0.216667 | 0 | 0 | 0.014332 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016667 | false | 0 | 0.116667 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b136b651e1325beb870ea9f5a79512ec242273e | 80,229 | py | Python | common/ui.py | Regnareb/StreamManager | 8b95e785d41c78f03725077f5dce2a5c15e0354f | [
"MIT"
] | null | null | null | common/ui.py | Regnareb/StreamManager | 8b95e785d41c78f03725077f5dce2a5c15e0354f | [
"MIT"
] | null | null | null | common/ui.py | Regnareb/StreamManager | 8b95e785d41c78f03725077f5dce2a5c15e0354f | [
"MIT"
] | null | null | null | import os
import sys
import copy
import ctypes
import socket
import logging
import threading
import functools
import webbrowser
logger = logging.getLogger(__name__)
import keyboard
from PySide2 import QtCore, QtWidgets, QtGui, QtWebEngineWidgets
# TODO
# Be able to import a text file in the description/title as variab... | 50.874445 | 398 | 0.672114 | 8,503 | 80,229 | 6.232389 | 0.122192 | 0.037023 | 0.042344 | 0.011492 | 0.401857 | 0.271087 | 0.194192 | 0.1366 | 0.09569 | 0.075971 | 0 | 0.005079 | 0.19751 | 80,229 | 1,576 | 399 | 50.906726 | 0.81798 | 0.022785 | 0 | 0.192082 | 0 | 0.007331 | 0.132297 | 0.008256 | 0 | 0 | 0 | 0.000635 | 0 | 1 | 0.08871 | false | 0.001466 | 0.014663 | 0.002199 | 0.13783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b1766db2c0ad0a27e5899ec9658c4cad1b1b54e | 8,242 | py | Python | map.py | BenoitCorsini/world-flights | 5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce | [
"MIT"
] | null | null | null | map.py | BenoitCorsini/world-flights | 5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce | [
"MIT"
] | null | null | null | map.py | BenoitCorsini/world-flights | 5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce | [
"MIT"
] | null | null | null | import os
import os.path as osp
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Circle, Polygon, Rectangle
from config import PARAMS
class WorldMap(object):
def __init__(self, shapes=[], params=PARAMS):
'''
The 'WorldMap' class is useful in constructing a 3D fig... | 36.631111 | 111 | 0.473065 | 888 | 8,242 | 4.302928 | 0.228604 | 0.091599 | 0.043182 | 0.021984 | 0.326354 | 0.291808 | 0.217482 | 0.209369 | 0.1743 | 0.112013 | 0 | 0.019242 | 0.382067 | 8,242 | 225 | 112 | 36.631111 | 0.731003 | 0.219122 | 0 | 0.25 | 0 | 0 | 0.0815 | 0 | 0 | 0 | 0 | 0 | 0.013514 | 1 | 0.054054 | false | 0 | 0.040541 | 0 | 0.114865 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b1897d255b0413c9d4325f9c12538b29485ce83 | 2,197 | py | Python | chapter15/cache_aside/populate_db.py | JoeanAmiee/Mastering-Python-Design-Patterns-Second-Edition | 89c55dcf5e1e0e730dde593b487050f360371932 | [
"MIT"
] | 278 | 2018-08-16T12:59:24.000Z | 2022-03-21T08:21:11.000Z | chapter15/cache_aside/populate_db.py | 50611/Mastering-Python-Design-Patterns-Second-Edition | 6efc4a935f15d2aa6c840131f72fb8c53a493a93 | [
"MIT"
] | 4 | 2019-05-16T11:44:45.000Z | 2022-02-04T07:24:47.000Z | chapter15/cache_aside/populate_db.py | 50611/Mastering-Python-Design-Patterns-Second-Edition | 6efc4a935f15d2aa6c840131f72fb8c53a493a93 | [
"MIT"
] | 166 | 2018-08-13T21:47:16.000Z | 2022-03-18T12:20:31.000Z | import sys
import sqlite3
import csv
from random import randint
from faker import Faker
fake = Faker()
def setup_db():
try:
db = sqlite3.connect('data/quotes.sqlite3')
# Get a cursor object
cursor = db.cursor()
cursor.execute('''
CREATE TABLE quotes(id INTEGER PRIMAR... | 25.252874 | 86 | 0.522531 | 266 | 2,197 | 4.18797 | 0.319549 | 0.05386 | 0.045781 | 0.048474 | 0.437163 | 0.385996 | 0.369838 | 0.305206 | 0.305206 | 0.305206 | 0 | 0.014851 | 0.356395 | 2,197 | 86 | 87 | 25.546512 | 0.772984 | 0.025489 | 0 | 0.460317 | 0 | 0 | 0.192236 | 0.009822 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.079365 | 0 | 0.142857 | 0.126984 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b1a17df754eb85c581497a16047422be041c22f | 523 | py | Python | amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py | Podshot/Amulet-Core | 678a722daa5e4487d193a7e947ccceacac325fd2 | [
"MIT"
] | null | null | null | amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py | Podshot/Amulet-Core | 678a722daa5e4487d193a7e947ccceacac325fd2 | [
"MIT"
] | null | null | null | amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py | Podshot/Amulet-Core | 678a722daa5e4487d193a7e947ccceacac325fd2 | [
"MIT"
] | null | null | null | from __future__ import annotations
from amulet.world_interface.chunk.interfaces.leveldb.leveldb_12.leveldb_12_interface import (
LevelDB12Interface,
)
class LevelDB13Interface(LevelDB12Interface):
def __init__(self):
LevelDB12Interface.__init__(self)
self.features["chunk_version"] = 13
... | 21.791667 | 93 | 0.6826 | 54 | 523 | 6.259259 | 0.555556 | 0.053254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050251 | 0.239006 | 523 | 23 | 94 | 22.73913 | 0.798995 | 0 | 0 | 0.125 | 0 | 0 | 0.038241 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 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 |
4b1b507d5e7bd884f752c61b8ba7c52263c2268a | 921 | py | Python | oarepo_model_builder/builders/jsonschema_builder.py | mesemus/oarepo-model-builder | 3dd9cc3db887c67f7b58281faae65c8162b0651e | [
"MIT"
] | null | null | null | oarepo_model_builder/builders/jsonschema_builder.py | mesemus/oarepo-model-builder | 3dd9cc3db887c67f7b58281faae65c8162b0651e | [
"MIT"
] | null | null | null | oarepo_model_builder/builders/jsonschema_builder.py | mesemus/oarepo-model-builder | 3dd9cc3db887c67f7b58281faae65c8162b0651e | [
"MIT"
] | null | null | null | from oarepo_model_builder.builders.json import JSONBuilder
from oarepo_model_builder.output import JsonSchemaOutput
class JSONSchemaBuilder(JSONBuilder):
"""Handles building of jsonschema from a data model specification."""
def __init__(self):
super().__init__()
self.output = None
def pre... | 32.892857 | 73 | 0.587405 | 100 | 921 | 5.26 | 0.48 | 0.060837 | 0.057034 | 0.08365 | 0.087452 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003115 | 0.302932 | 921 | 27 | 74 | 34.111111 | 0.816199 | 0.068404 | 0 | 0.090909 | 0 | 0 | 0.024648 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.090909 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b1e6350105907d7f3eb0e342a99233ff398a655 | 10,305 | py | Python | benchmark/automated_agents_selenium/exatag_labels_agent.py | MedTAG/medtag-core | f2dae7b38230179d71babede7e4910631d91053f | [
"MIT"
] | 6 | 2021-12-20T12:15:17.000Z | 2022-02-02T15:28:42.000Z | benchmark/automated_agents_selenium/exatag_labels_agent.py | MedTAG/medtag-core | f2dae7b38230179d71babede7e4910631d91053f | [
"MIT"
] | 1 | 2022-03-07T14:57:44.000Z | 2022-03-11T18:11:55.000Z | benchmark/automated_agents_selenium/exatag_labels_agent.py | MedTAG/medtag-core | f2dae7b38230179d71babede7e4910631d91053f | [
"MIT"
] | 2 | 2021-05-29T09:44:38.000Z | 2021-12-28T03:53:40.000Z | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import psycopg2
import time
import statistics
from selenium.webdriver.support.select import Select
import json
def wait_unt... | 35.78125 | 147 | 0.450849 | 1,004 | 10,305 | 4.473108 | 0.209163 | 0.026497 | 0.034068 | 0.038076 | 0.483411 | 0.433311 | 0.397016 | 0.348252 | 0.332665 | 0.313516 | 0 | 0.020876 | 0.432897 | 10,305 | 287 | 148 | 35.905923 | 0.747604 | 0.267055 | 0 | 0.294479 | 0 | 0 | 0.092093 | 0.05437 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018405 | false | 0.01227 | 0.055215 | 0 | 0.110429 | 0.067485 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b1ec74bf2a93ae529c6f9b679c345029b8413cf | 1,517 | py | Python | randgenuntil.py | i-can-not-program/randgenuntil | cec853bc0c0a6589d60e1c6e3064e273e6278e0f | [
"Unlicense"
] | 1 | 2021-09-09T12:03:57.000Z | 2021-09-09T12:03:57.000Z | randgenuntil.py | i-can-not-program/randgenuntil | cec853bc0c0a6589d60e1c6e3064e273e6278e0f | [
"Unlicense"
] | null | null | null | randgenuntil.py | i-can-not-program/randgenuntil | cec853bc0c0a6589d60e1c6e3064e273e6278e0f | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import random
import argparse
import sys
def error(message):
print(message)
sys.exit(1)
parser = argparse.ArgumentParser()
parser.add_argument("number",
help="Generate a random numbers until they are equal to this.", type=int)
parser.add_argument("-s", "--start", t... | 35.27907 | 111 | 0.652604 | 225 | 1,517 | 4.333333 | 0.36 | 0.050256 | 0.087179 | 0.028718 | 0.082051 | 0.082051 | 0.082051 | 0.082051 | 0.082051 | 0.082051 | 0 | 0.014143 | 0.207647 | 1,517 | 42 | 112 | 36.119048 | 0.797005 | 0.013843 | 0 | 0 | 0 | 0 | 0.344043 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.085714 | 0 | 0.114286 | 0.114286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b21181e3a74fe5a1a2c9a5d58470698abe2c63a | 10,698 | py | Python | python/cvi_toolkit/numpy_helper/tensor_compare.py | sophgo/tpu_compiler | 6299ea0a3adae1e5c206bcb9bedf225d16e636db | [
"Apache-2.0"
] | 3 | 2022-03-14T11:47:20.000Z | 2022-03-16T01:45:37.000Z | python/cvi_toolkit/numpy_helper/tensor_compare.py | sophgo/tpu_compiler | 6299ea0a3adae1e5c206bcb9bedf225d16e636db | [
"Apache-2.0"
] | null | null | null | python/cvi_toolkit/numpy_helper/tensor_compare.py | sophgo/tpu_compiler | 6299ea0a3adae1e5c206bcb9bedf225d16e636db | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import numpy as np
import sys
import struct
# from math import fabs
from enum import IntEnum
from scipy import spatial
from math import *
from collections import OrderedDict
def second(elem):
return elem[1]
def get_topk(a, k):
k = min(a.size, k)
idx = np.argpartition(-a.ravel(), k - 1)[:... | 37.405594 | 102 | 0.623294 | 1,451 | 10,698 | 4.43694 | 0.146795 | 0.021746 | 0.037589 | 0.015843 | 0.17785 | 0.093507 | 0.068034 | 0.031998 | 0.023299 | 0.015843 | 0 | 0.027869 | 0.235278 | 10,698 | 285 | 103 | 37.536842 | 0.759076 | 0.051598 | 0 | 0.055319 | 0 | 0 | 0.084625 | 0.002172 | 0 | 0 | 0 | 0 | 0.012766 | 1 | 0.068085 | false | 0.029787 | 0.029787 | 0.012766 | 0.204255 | 0.119149 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b239e38be546f3cf138ae920d55ac95f83dd8aa | 4,508 | py | Python | src/cleaners.py | RellikDog/dota2-win-predictor-v2 | 2751093d988830296ab0408a820e52bd7fd963b0 | [
"MIT"
] | 1 | 2020-06-12T00:27:45.000Z | 2020-06-12T00:27:45.000Z | src/cleaners.py | RellikDog/dota2-win-predictor-v2 | 2751093d988830296ab0408a820e52bd7fd963b0 | [
"MIT"
] | null | null | null | src/cleaners.py | RellikDog/dota2-win-predictor-v2 | 2751093d988830296ab0408a820e52bd7fd963b0 | [
"MIT"
] | null | null | null | from src.eda import make_counter
import pandas as pd
import numpy as np
from src.heroes import heroes, name_id, id_name
def id_list_from_history(data):
'''
Takes raw data returnd by api_calls.get_match_history() and returns a list of just the match ID's
Input:
data(list):
... | 32.905109 | 119 | 0.590949 | 634 | 4,508 | 4.064669 | 0.283912 | 0.02988 | 0.021731 | 0.012418 | 0.103997 | 0.089251 | 0.089251 | 0.089251 | 0.089251 | 0.062088 | 0 | 0.004211 | 0.315217 | 4,508 | 137 | 120 | 32.905109 | 0.83058 | 0.471162 | 0 | 0 | 0 | 0 | 0.159848 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.196429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b2a94692c84f7c38268202ef3957322166618de | 991 | py | Python | tensorflow_v2/dragen1860/ch10/bn_main.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 13 | 2020-01-04T07:37:38.000Z | 2021-08-31T05:19:58.000Z | tensorflow_v2/dragen1860/ch10/bn_main.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 3 | 2020-06-05T22:42:53.000Z | 2020-08-24T07:18:54.000Z | tensorflow_v2/dragen1860/ch10/bn_main.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 9 | 2020-10-19T04:53:06.000Z | 2021-08-31T05:20:01.000Z | import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers, optimizers
# BatchNorm 归一化网络激活函数
# 2 images with 4x4 size, 3 channels
# we explicitly enforce the mean and stddev to N(1, 0.5)
x = tf.random.normal([2, 4, 4, 3], mean=1.0, stddev=0.5)
net = layers.BatchNormalization(axis=-1, ce... | 30.030303 | 81 | 0.71443 | 156 | 991 | 4.512821 | 0.461538 | 0.034091 | 0.039773 | 0.06392 | 0.146307 | 0.119318 | 0.119318 | 0.119318 | 0.119318 | 0.119318 | 0 | 0.036993 | 0.15439 | 991 | 32 | 82 | 30.96875 | 0.803103 | 0.136226 | 0 | 0.15 | 0 | 0 | 0.121034 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.15 | 0 | 0.15 | 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 |
4b2b18a133cf43bd4b7425912dff7947dc039608 | 1,001 | py | Python | pytocl/main.py | moltob/pytocl | 905c09e649feca8feeaef6fdecd6767d82cdb28e | [
"MIT"
] | 12 | 2016-11-02T08:43:04.000Z | 2020-05-17T11:23:32.000Z | pytocl/main.py | moltob/pytocl | 905c09e649feca8feeaef6fdecd6767d82cdb28e | [
"MIT"
] | 1 | 2020-06-08T09:48:20.000Z | 2020-06-08T09:48:20.000Z | pytocl/main.py | moltob/pytocl | 905c09e649feca8feeaef6fdecd6767d82cdb28e | [
"MIT"
] | 3 | 2017-08-01T18:30:32.000Z | 2018-08-04T13:10:15.000Z | """Application entry point."""
import argparse
import logging
from pytocl.protocol import Client
def main():
"""Main entry point of application."""
parser = argparse.ArgumentParser(description='Client for TORCS racing car simulation with SCRC '
'network server... | 30.333333 | 100 | 0.622378 | 119 | 1,001 | 5.092437 | 0.571429 | 0.044554 | 0.084158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021248 | 0.247752 | 1,001 | 32 | 101 | 31.28125 | 0.783533 | 0.094905 | 0 | 0 | 0 | 0 | 0.272931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4b2b25ace759328c89bdd5c3d6fc4d697b6531e4 | 2,381 | py | Python | JSMultiline.py | axilleasiv/JSMultiline | 59779d4b6c444461597b105e31aa0efb0e86805c | [
"MIT"
] | 6 | 2015-05-04T00:05:00.000Z | 2016-12-09T14:40:47.000Z | JSMultiline.py | axilleasiv/JSMultiline | 59779d4b6c444461597b105e31aa0efb0e86805c | [
"MIT"
] | 1 | 2018-06-25T17:13:37.000Z | 2018-06-25T17:13:37.000Z | JSMultiline.py | axilleasiv/JSMultiline | 59779d4b6c444461597b105e31aa0efb0e86805c | [
"MIT"
] | null | null | null | import sublime
import sublime_plugin
import re
import os
rexLastTabs = re.compile(r'(\t+|\s+)$', re.MULTILINE)
rexEmptyLines = re.compile('^[ \t]*$\r?\n', re.MULTILINE)
rexCont = re.compile(r'[^\t\s].*[^\t\s]')
rexFormatted = re.compile(r"((?<=\s)'|(?<=\t)')|('*\s[\+|\\|])")
class RunMultilineAction(sublime_plugin.T... | 28.345238 | 116 | 0.639227 | 313 | 2,381 | 4.833866 | 0.319489 | 0.072703 | 0.019828 | 0.039656 | 0.104428 | 0.070059 | 0.070059 | 0.070059 | 0.070059 | 0.070059 | 0 | 0.008638 | 0.173457 | 2,381 | 84 | 117 | 28.345238 | 0.760163 | 0.046619 | 0 | 0.035088 | 0 | 0 | 0.086458 | 0.014998 | 0.017544 | 0 | 0 | 0 | 0 | 1 | 0.070175 | false | 0 | 0.070175 | 0 | 0.245614 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |