hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9d68975702955b40381a81581441db52c47f67ab | 43 | py | Python | src/network/__init__.py | ThomasRanvier/faces_recognition_nn | b9177134169b6e05d9d9b6ea3206628bdb127a5e | [
"MIT"
] | null | null | null | src/network/__init__.py | ThomasRanvier/faces_recognition_nn | b9177134169b6e05d9d9b6ea3206628bdb127a5e | [
"MIT"
] | null | null | null | src/network/__init__.py | ThomasRanvier/faces_recognition_nn | b9177134169b6e05d9d9b6ea3206628bdb127a5e | [
"MIT"
] | null | null | null | from .neural_network import Neural_network
| 21.5 | 42 | 0.883721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9d6b7d2817a9a11d4f368ca09bd16da81be04b5f | 1,496 | py | Python | rides/forms.py | andrenbrandao/pirauber | d7c5647ec6df698fa3d7397907ff629c74cc76b9 | [
"MIT"
] | null | null | null | rides/forms.py | andrenbrandao/pirauber | d7c5647ec6df698fa3d7397907ff629c74cc76b9 | [
"MIT"
] | 6 | 2020-06-05T23:27:38.000Z | 2022-02-10T08:14:16.000Z | rides/forms.py | andrenbrandao/pirauber | d7c5647ec6df698fa3d7397907ff629c74cc76b9 | [
"MIT"
] | null | null | null | from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit
from django.utils.translation import ugettext_lazy as _
from .models import Ride
class RideForm(forms.ModelForm):
date = forms.DateField(
label=_('Date'),
widget=forms.DateInput(format=('%Y... | 31.166667 | 91 | 0.592914 | 1,303 | 0.870989 | 0 | 0 | 0 | 0 | 0 | 0 | 376 | 0.251337 |
9d6dfe9a0fb4cf150a1dbedc9b781a51974ddeed | 843 | py | Python | tests/testdata/models.py | dtpryce/MLServer | 02744b3c770141b0b1d9dad2a0256d243051de61 | [
"Apache-2.0"
] | null | null | null | tests/testdata/models.py | dtpryce/MLServer | 02744b3c770141b0b1d9dad2a0256d243051de61 | [
"Apache-2.0"
] | null | null | null | tests/testdata/models.py | dtpryce/MLServer | 02744b3c770141b0b1d9dad2a0256d243051de61 | [
"Apache-2.0"
] | null | null | null | import asyncio
from mlserver import MLModel
from mlserver.codecs import NumpyCodec
from mlserver.types import InferenceRequest, InferenceResponse
class SumModel(MLModel):
async def predict(self, payload: InferenceRequest) -> InferenceResponse:
decoded = self.decode(payload.inputs[0])
total = dec... | 31.222222 | 87 | 0.71293 | 689 | 0.817319 | 0 | 0 | 0 | 0 | 624 | 0.740214 | 7 | 0.008304 |
9d6f477bb8496ccbe8298b0d502cfaf9b42c5d1c | 10,459 | py | Python | PERFORMER.py | ShivamRajSharma/Transformer-Architecure_From_Scratch | f7f24cb5146c09e6cf38a41e5e5ef721389803c1 | [
"MIT"
] | 17 | 2020-09-13T07:53:41.000Z | 2022-03-17T09:58:23.000Z | PERFORMER.py | ShivamRajSharma/Transformer-Architecure_From_Scratch | f7f24cb5146c09e6cf38a41e5e5ef721389803c1 | [
"MIT"
] | null | null | null | PERFORMER.py | ShivamRajSharma/Transformer-Architecure_From_Scratch | f7f24cb5146c09e6cf38a41e5e5ef721389803c1 | [
"MIT"
] | 3 | 2020-12-15T14:20:47.000Z | 2022-01-24T02:26:04.000Z | from time import time
import torch
import torch.nn as nn
class FastAttention(nn.Module):
def __init__(self, input_shape, head, n_features):
super(FastAttention, self).__init__()
self.head = head
self.input_shape = input_shape
self.depth = int(input_shape // head)
self.n_f... | 30.852507 | 95 | 0.581222 | 9,513 | 0.909552 | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 0.032986 |
9d6fa2ce7adb3f0d8fb6ff64a2befb7535e72eca | 28,970 | py | Python | nogo/gtp_connection.py | douglasrebstock/alpha-zero-general | 2237522be5a1bbfebbc2fc1b2a8e8a6bcb6d5aab | [
"MIT"
] | null | null | null | nogo/gtp_connection.py | douglasrebstock/alpha-zero-general | 2237522be5a1bbfebbc2fc1b2a8e8a6bcb6d5aab | [
"MIT"
] | null | null | null | nogo/gtp_connection.py | douglasrebstock/alpha-zero-general | 2237522be5a1bbfebbc2fc1b2a8e8a6bcb6d5aab | [
"MIT"
] | null | null | null | """
gtp_connection.py
Module for playing games of Go using GoTextProtocol
Parts of this code were originally based on the gtp module
in the Deep-Go project by Isaac Henrion and Amos Storkey
at the University of Edinburgh.
"""
import signal, os
import traceback
from sys import stdin, stdout, stderr
from board_util im... | 34.736211 | 150 | 0.542975 | 26,059 | 0.899517 | 0 | 0 | 0 | 0 | 0 | 0 | 7,236 | 0.249776 |
9d70c2235e5fc849eb97316fd49d7acf1fb36a6a | 2,634 | py | Python | seamless/highlevel/SubCell.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 15 | 2017-06-07T12:49:12.000Z | 2020-07-25T18:06:04.000Z | seamless/highlevel/SubCell.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 110 | 2016-06-21T23:20:44.000Z | 2022-02-24T16:15:22.000Z | seamless/highlevel/SubCell.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 6 | 2016-06-21T11:19:22.000Z | 2019-01-21T13:45:39.000Z | import weakref
from .Cell import Cell
class SubCell(Cell):
def __init__(self, parent, cell, subpath, readonly):
assert isinstance(cell, Cell)
assert not isinstance(cell, SubCell)
fullpath = cell._path + subpath
super().__init__(parent=parent, path=fullpath)
self._cell = wea... | 30.988235 | 96 | 0.602885 | 2,593 | 0.984434 | 0 | 0 | 887 | 0.33675 | 0 | 0 | 239 | 0.090737 |
9d70ca280f4f08aef01023da8fb208958fa5803b | 460 | py | Python | colos/sfbx/__init__.py | asmodehn/colos | 8894c3a758489b639638ba9aa9c83f7d621648eb | [
"MIT"
] | null | null | null | colos/sfbx/__init__.py | asmodehn/colos | 8894c3a758489b639638ba9aa9c83f7d621648eb | [
"MIT"
] | 4 | 2018-04-11T09:13:05.000Z | 2018-04-11T09:28:18.000Z | colos/sfbx/__init__.py | asmodehn/colos | 8894c3a758489b639638ba9aa9c83f7d621648eb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# The aim of this package is to :
# - guarantee protected code execution is safe and *will* happen (eventually)
# - report usage via colosstat
# - recover when code fails ( possibly recording previous state, for example )
# one possibility is to implement another levelof ... | 41.818182 | 96 | 0.741304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 452 | 0.978355 |
9d71192a0442b7eef7acad0763b92e91ecac841f | 965 | py | Python | plugins/help.py | A0vanc01/Frisky | d4d7f9892858b5412755c9dee594e5b60b6d2b94 | [
"MIT"
] | 5 | 2020-01-22T18:16:59.000Z | 2021-06-14T13:23:57.000Z | plugins/help.py | A0vanc01/Frisky | d4d7f9892858b5412755c9dee594e5b60b6d2b94 | [
"MIT"
] | 104 | 2020-02-12T00:36:14.000Z | 2022-02-10T08:18:28.000Z | plugins/help.py | A0vanc01/Frisky | d4d7f9892858b5412755c9dee594e5b60b6d2b94 | [
"MIT"
] | 4 | 2020-01-30T15:44:04.000Z | 2020-08-27T19:22:57.000Z | from frisky.events import MessageEvent
from frisky.plugin import FriskyPlugin, PluginRepositoryMixin
from frisky.responses import FriskyResponse
class HelpPlugin(FriskyPlugin, PluginRepositoryMixin):
commands = ['help']
def command_help(self, message: MessageEvent) -> FriskyResponse:
if len(message.... | 40.208333 | 96 | 0.643523 | 817 | 0.846632 | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 0.227979 |
9d712c380762c48dece9d6503dff8952414ca037 | 1,663 | py | Python | cadnano/tests/testgroup.py | mctrinh/cadnano2.5 | d8254f24eef5fd77b4fb2b1a9642a8eea2e3c736 | [
"BSD-3-Clause"
] | 69 | 2015-01-13T02:54:40.000Z | 2022-03-27T14:25:51.000Z | cadnano/tests/testgroup.py | mctrinh/cadnano2.5 | d8254f24eef5fd77b4fb2b1a9642a8eea2e3c736 | [
"BSD-3-Clause"
] | 127 | 2015-01-01T06:26:34.000Z | 2022-03-02T12:48:05.000Z | cadnano/tests/testgroup.py | mctrinh/cadnano2.5 | d8254f24eef5fd77b4fb2b1a9642a8eea2e3c736 | [
"BSD-3-Clause"
] | 48 | 2015-01-22T19:57:49.000Z | 2022-03-27T14:27:53.000Z | # -*- coding: utf-8 -*-
from PyQt5.QtWidgets import QGraphicsItem, QGraphicsRectItem, QGraphicsItemGroup
from PyQt5.QtCore import pyqtSlot
class MyItemGroup(QGraphicsItemGroup):
Type = QGraphicsItem.UserType + 3
def __init__(self, parent=None):
super(MyItemGroup, self).__init__(parent)
def __rep... | 26.822581 | 80 | 0.683103 | 913 | 0.549008 | 0 | 0 | 0 | 0 | 0 | 0 | 294 | 0.176789 |
9d71751143901cbe72d8513a42c3b74da3d29bf0 | 998 | py | Python | composer/models/ssd/ssd_hparams.py | anisehsani/composer | 42599682d50409b4a4eb7c91fad85d67418cee13 | [
"Apache-2.0"
] | null | null | null | composer/models/ssd/ssd_hparams.py | anisehsani/composer | 42599682d50409b4a4eb7c91fad85d67418cee13 | [
"Apache-2.0"
] | null | null | null | composer/models/ssd/ssd_hparams.py | anisehsani/composer | 42599682d50409b4a4eb7c91fad85d67418cee13 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 MosaicML. All Rights Reserved.
from dataclasses import dataclass
import yahp as hp
from composer.models.model_hparams import ModelHparams
@dataclass
class SSDHparams(ModelHparams):
input_size: int = hp.optional(
doc="input size",
default=300,
)
num_classes: int = hp.opt... | 22.681818 | 55 | 0.617234 | 826 | 0.827655 | 0 | 0 | 837 | 0.838677 | 0 | 0 | 120 | 0.12024 |
9d73808fab2e4c633d3b7d43187bc4821f1bfb77 | 1,303 | py | Python | src/lib/base_dataset.py | CvHadesSun/Camera-Calibration | 5c054672749aa0b3be1bdff8b8f4f3d2fcf3ee85 | [
"MIT"
] | null | null | null | src/lib/base_dataset.py | CvHadesSun/Camera-Calibration | 5c054672749aa0b3be1bdff8b8f4f3d2fcf3ee85 | [
"MIT"
] | null | null | null | src/lib/base_dataset.py | CvHadesSun/Camera-Calibration | 5c054672749aa0b3be1bdff8b8f4f3d2fcf3ee85 | [
"MIT"
] | null | null | null | from os.path import join
from utils import getFileList
class ImageFolder:
def __init__(self, path, sub=None, annot='annot') -> None:
self.root = path
self.image = 'images'
self.annot = annot
self.image_root = join(path, self.image)
self.annot_root = join(path, self.annot)
... | 40.71875 | 80 | 0.61934 | 1,247 | 0.957022 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.036071 |
9d73d6f049758b5497d67b41cd027577eaf0250d | 1,704 | py | Python | main.py | sunkr1995/genetic-drawing | 6e5cc755a55c1994770c3f18fb14f1cc651bb700 | [
"MIT"
] | null | null | null | main.py | sunkr1995/genetic-drawing | 6e5cc755a55c1994770c3f18fb14f1cc651bb700 | [
"MIT"
] | null | null | null | main.py | sunkr1995/genetic-drawing | 6e5cc755a55c1994770c3f18fb14f1cc651bb700 | [
"MIT"
] | null | null | null | '''
Author: your name
Date: 2021-06-18 10:13:00
LastEditTime: 2021-07-08 14:13:07
LastEditors: Please set LastEditors
Description: In User Settings Edit
FilePath: /genetic-drawing/main.py
'''
import cv2
import os
import time
from IPython.display import clear_output
from genetic_drawing import *
gen = GeneticDrawing('0... | 34.08 | 87 | 0.669601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 694 | 0.407277 |
9d740fa3ec721433e495424e2743d9af67d910eb | 10,991 | py | Python | flair/models/sandbox/simple_sequence_tagger_model.py | bratao/flair | 67b53cc2a615a2e2a4e552d6f787c2efa708a939 | [
"MIT"
] | null | null | null | flair/models/sandbox/simple_sequence_tagger_model.py | bratao/flair | 67b53cc2a615a2e2a4e552d6f787c2efa708a939 | [
"MIT"
] | null | null | null | flair/models/sandbox/simple_sequence_tagger_model.py | bratao/flair | 67b53cc2a615a2e2a4e552d6f787c2efa708a939 | [
"MIT"
] | null | null | null | import logging
from typing import List, Union, Optional
import torch
import torch.nn
import torch.nn.functional as F
from tqdm import tqdm
import flair.nn
from flair.data import Dictionary, Sentence, Label
from flair.datasets import SentenceDataset, DataLoader
from flair.embeddings import TokenEmbeddings
from flair.... | 35.569579 | 111 | 0.592849 | 10,596 | 0.964062 | 0 | 0 | 777 | 0.070694 | 0 | 0 | 2,647 | 0.240833 |
9d7508b796c963b53ae0eb9f9680e4518db45e86 | 1,708 | py | Python | exercise/xiaohuar/spider-xiaohuar.com.py | PorYoung/bigData-camp-8d | 8fa31b48065da27fd1c4f8432232342cede6f56c | [
"MIT"
] | 1 | 2019-12-27T06:34:06.000Z | 2019-12-27T06:34:06.000Z | exercise/xiaohuar/spider-xiaohuar.com.py | PorYoung/bigData-camp-8d | 8fa31b48065da27fd1c4f8432232342cede6f56c | [
"MIT"
] | 1 | 2021-12-14T20:40:06.000Z | 2021-12-14T20:40:06.000Z | exercise/xiaohuar/spider-xiaohuar.com.py | PorYoung/bigData-camp-8d | 8fa31b48065da27fd1c4f8432232342cede6f56c | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
def spider_xiaohuar_content(url, headers):
response = requests.get(url=url, headers=headers)
print(response.status_code)
if response.status_code == 200:
response.encoding = 'utf-8'
html = response.content
# 参数：网页内容，解析器
soup = B... | 38.818182 | 136 | 0.538056 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 519 | 0.295222 |
9d75c627939ebcaa3bf24644789f819936e04c59 | 749 | py | Python | v1.1/auc_csv_merge.py | lz-pku-1997/so-many-tricks-for-Image-classification | 3df7a0672f88219f893b0fa23c31ae6b30d01264 | [
"MIT"
] | 2 | 2020-04-21T06:06:28.000Z | 2020-12-27T12:35:57.000Z | v1.1/auc_csv_merge.py | lz-pku-1997/so-many-tricks-for-Image-classification | 3df7a0672f88219f893b0fa23c31ae6b30d01264 | [
"MIT"
] | null | null | null | v1.1/auc_csv_merge.py | lz-pku-1997/so-many-tricks-for-Image-classification | 3df7a0672f88219f893b0fa23c31ae6b30d01264 | [
"MIT"
] | null | null | null | #尝试直接读取文件夹内所有csv，记得看看列表，是不是读对了
import glob
import pandas as pd
import numpy as np
io = glob.glob(r"*.csv")
len_io=len(io)
print('总共输入表的数量为：',len_io)
prob_list=[]
for i in range(len_io):
sub_1 = pd.read_csv(io[i])
denominator=len(sub_1)
for my_classes in ['healthy','multiple_diseases','rust',... | 31.208333 | 69 | 0.663551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.244823 |
9d76b727796967801234a59f7efe009b01c9e636 | 10,468 | py | Python | masakari-7.0.0/masakari/objects/base.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | null | null | null | masakari-7.0.0/masakari/objects/base.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | masakari-7.0.0/masakari/objects/base.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright 2016 NTT Data.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 35.364865 | 79 | 0.664215 | 6,713 | 0.641288 | 181 | 0.017291 | 1,174 | 0.112151 | 0 | 0 | 4,964 | 0.474207 |
9d7a01fbe97c35ca79d4cd01911da8cd9570eceb | 53 | py | Python | malaya/text/bahasa/news.py | ebiggerr/malaya | be757c793895522f80b929fe82353d90762f7fff | [
"MIT"
] | 88 | 2021-01-06T10:01:31.000Z | 2022-03-30T17:34:09.000Z | malaya/text/bahasa/news.py | zulkiflizaki/malaya | 2358081bfa43aad57d9415a99f64c68f615d0cc4 | [
"MIT"
] | 43 | 2021-01-14T02:44:41.000Z | 2022-03-31T19:47:42.000Z | malaya/text/bahasa/news.py | zulkiflizaki/malaya | 2358081bfa43aad57d9415a99f64c68f615d0cc4 | [
"MIT"
] | 38 | 2021-01-06T07:15:03.000Z | 2022-03-19T05:07:50.000Z | news = ['klik untuk membaca', 'klik untuk maklumat']
| 26.5 | 52 | 0.698113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.773585 |
9d7a0f0018ec32fb50d147552cd1d3e28431140d | 306 | py | Python | sonosscripts/modules.py | RobinDeBaets/SonosScripts | e3a4f27259d9881ebdc3176069e7fe428f88c244 | [
"WTFPL"
] | null | null | null | sonosscripts/modules.py | RobinDeBaets/SonosScripts | e3a4f27259d9881ebdc3176069e7fe428f88c244 | [
"WTFPL"
] | 1 | 2019-11-21T20:22:01.000Z | 2019-11-21T20:22:01.000Z | sonosscripts/modules.py | RobinDeBaets/SonosScripts | e3a4f27259d9881ebdc3176069e7fe428f88c244 | [
"WTFPL"
] | 1 | 2020-08-01T18:02:21.000Z | 2020-08-01T18:02:21.000Z |
from sonosscripts import stop, play_pause, previous, next, change_bass, change_volume, mute_volume
modules = {
"stop": stop,
"play_pause": play_pause,
"previous": previous,
"next": next,
"change_bass": change_bass,
"change_volume": change_volume,
"mute_volume": mute_volume
}
| 23.538462 | 98 | 0.69281 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.245098 |
9d7ad5477f4bf8f12192323e1ee2103954aa57db | 3,925 | py | Python | twitter_bot/MyBot.py | diem-ai/datascience-projects | deef93217bd3b0cfc2ca7802933142d1dad7fcba | [
"MIT"
] | null | null | null | twitter_bot/MyBot.py | diem-ai/datascience-projects | deef93217bd3b0cfc2ca7802933142d1dad7fcba | [
"MIT"
] | null | null | null | twitter_bot/MyBot.py | diem-ai/datascience-projects | deef93217bd3b0cfc2ca7802933142d1dad7fcba | [
"MIT"
] | null | null | null | """
Class SaleBot
It is initialised by nlp model (bag-of-word, tf-idf, word2vec)
It returns response with a question as the input
"""
from gensim.corpora import Dictionary
#from gensim.models import FastText
from gensim.models import Word2Vec , WordEmbeddingSimilarityIndex
from gensim.similarities import SoftCo... | 37.380952 | 105 | 0.592866 | 3,384 | 0.862166 | 0 | 0 | 0 | 0 | 0 | 0 | 995 | 0.253503 |
9d7c94008fdd0c290d0ad7ba8082f2beff2eb070 | 2,452 | py | Python | Tensorflow_2X_PythonFiles/demo123_convolution_visualization.py | mahnooranjum/Tensorflow_DeepLearning | 65ab178d4c17efad01de827062d5c85bdfb9b1ca | [
"MIT"
] | null | null | null | Tensorflow_2X_PythonFiles/demo123_convolution_visualization.py | mahnooranjum/Tensorflow_DeepLearning | 65ab178d4c17efad01de827062d5c85bdfb9b1ca | [
"MIT"
] | null | null | null | Tensorflow_2X_PythonFiles/demo123_convolution_visualization.py | mahnooranjum/Tensorflow_DeepLearning | 65ab178d4c17efad01de827062d5c85bdfb9b1ca | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Demo123_Convolution_Visualization.ipynb
# **Spit some [tensor] flow**
We need to learn the intricacies of tensorflow to master deep learning
`Let's get this over with`
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
print(tf.__version__)
... | 21.137931 | 98 | 0.69168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 0.165171 |
9d8165f8ce202fddd44b2d3bc70e29ad7d9245a2 | 1,482 | py | Python | hail_scripts/v01/convert_tsv_to_vds.py | NLSVTN/hail-elasticsearch-pipelines | 8b895a2e46a33d347dd2a1024101a6d515027a03 | [
"MIT"
] | null | null | null | hail_scripts/v01/convert_tsv_to_vds.py | NLSVTN/hail-elasticsearch-pipelines | 8b895a2e46a33d347dd2a1024101a6d515027a03 | [
"MIT"
] | null | null | null | hail_scripts/v01/convert_tsv_to_vds.py | NLSVTN/hail-elasticsearch-pipelines | 8b895a2e46a33d347dd2a1024101a6d515027a03 | [
"MIT"
] | null | null | null | import argparse as ap
import hail
from pprint import pprint
import time
from hail_scripts.v01.utils.vds_utils import write_vds
p = ap.ArgumentParser(description="Convert a tsv table to a .vds")
p.add_argument("-c", "--chrom-column", required=True)
p.add_argument("-p", "--pos-column", required=True)
p.add_argument("-r... | 36.146341 | 150 | 0.690958 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 412 | 0.278003 |
9d81808e7a83247fd981f349fc73abe0b9de1e1e | 4,649 | py | Python | scripts/Old/fixSequenceIDs.py | paepcke/json_to_relation | acfa58d540f8f51d1d913d0c173ee3ded1b6c2a9 | [
"BSD-3-Clause"
] | 4 | 2015-10-10T19:09:49.000Z | 2021-09-02T00:58:06.000Z | scripts/Old/fixSequenceIDs.py | paepcke/json_to_relation | acfa58d540f8f51d1d913d0c173ee3ded1b6c2a9 | [
"BSD-3-Clause"
] | null | null | null | scripts/Old/fixSequenceIDs.py | paepcke/json_to_relation | acfa58d540f8f51d1d913d0c173ee3ded1b6c2a9 | [
"BSD-3-Clause"
] | 8 | 2015-05-16T14:33:33.000Z | 2019-10-24T08:56:25.000Z | #!/usr/bin/env python
# Copyright (c) 2014, Stanford University
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this list ... | 54.05814 | 757 | 0.687245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,982 | 0.641428 |
9d818b86a7daa5558c49d73a26208235e0d52b89 | 8,433 | py | Python | tests/test_logger_device.py | ska-telescope/lmc-base-classes | e3ac46a731aca4d49d53747b4352ec4be089ff5d | [
"BSD-3-Clause"
] | 3 | 2019-04-18T20:46:02.000Z | 2019-07-30T17:47:40.000Z | tests/test_logger_device.py | ska-telescope/lmc-base-classes | e3ac46a731aca4d49d53747b4352ec4be089ff5d | [
"BSD-3-Clause"
] | 26 | 2018-10-30T07:50:50.000Z | 2020-07-13T12:50:36.000Z | tests/test_logger_device.py | ska-telescope/lmc-base-classes | e3ac46a731aca4d49d53747b4352ec4be089ff5d | [
"BSD-3-Clause"
] | 4 | 2019-01-16T07:47:59.000Z | 2021-06-01T11:17:32.000Z | #########################################################################################
# -*- coding: utf-8 -*-
#
# This file is part of the SKALogger project
#
#
#
#########################################################################################
"""Contain the tests for the SKALogger."""
import re
import py... | 44.856383 | 94 | 0.681727 | 6,304 | 0.747539 | 0 | 0 | 7,485 | 0.887584 | 0 | 0 | 4,591 | 0.544409 |
9d83b4f58893d59845ef72aeb0870f92b39fa121 | 2,053 | py | Python | baseline/find_pairs.py | parallelcrawl/DataCollection | 4308473e6b53779159a15c1416bff3f2291dd1f2 | [
"Apache-2.0"
] | 8 | 2018-02-08T16:03:00.000Z | 2022-01-19T11:41:38.000Z | baseline/find_pairs.py | christianbuck/CorpusMining | f9248c3528a415a1e5af2c5a54a60c16cd79ff1d | [
"Apache-2.0"
] | 3 | 2017-08-08T10:53:29.000Z | 2017-08-08T10:58:51.000Z | baseline/find_pairs.py | parallelcrawl/DataCollection | 4308473e6b53779159a15c1416bff3f2291dd1f2 | [
"Apache-2.0"
] | 4 | 2018-06-09T21:53:09.000Z | 2022-01-19T11:41:48.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import re
import urlparse
def process_buffer(buffer):
if not buffer or len(buffer) < 2:
return
buffer = [line.decode('utf-8', 'ignore') for line in buffer]
split_buffer = [line.strip().lower().split("\t")
for line in buff... | 31.106061 | 77 | 0.580614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 0.185095 |
9d84b7b6381a6f3c016023bcfd74caa6a922fa9b | 625 | py | Python | tests/test_jupyter_integration.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | null | null | null | tests/test_jupyter_integration.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | null | null | null | tests/test_jupyter_integration.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | null | null | null | import pytest
from graphviz import jupyter_integration
def test_get_jupyter_format_mimetype_invalid_raises_unknown():
with pytest.raises(ValueError, match=r'unknown'):
jupyter_integration.get_jupyter_format_mimetype('Brian!')
def test_get_jupyter_mimetype_format_normalizes():
assert jupyter_integra... | 32.894737 | 78 | 0.808 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.1008 |
9d872c11430e2faa3e970e4a406f2f735e7a91bc | 122 | py | Python | gaussianmean.py | rjw57/fear-python-example | b95440fff6471d2555dce63ed8b26a0a7c8d2ed1 | [
"MIT"
] | 1 | 2016-06-27T08:28:23.000Z | 2016-06-27T08:28:23.000Z | gaussianmean.py | rjw57/fear-python-example | b95440fff6471d2555dce63ed8b26a0a7c8d2ed1 | [
"MIT"
] | null | null | null | gaussianmean.py | rjw57/fear-python-example | b95440fff6471d2555dce63ed8b26a0a7c8d2ed1 | [
"MIT"
] | null | null | null | import numpy as np
def main():
s = np.mean(np.random.randn(100))
print(s)
if __name__ == '__main__':
main()
| 13.555556 | 37 | 0.598361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.081967 |
9d874b69262d199893f7832d8c3dfc78745d2cab | 544 | py | Python | sarsa.py | lukaspestalozzi/URLNN-Project2 | 425d3a14f063d91ae4b6183aa866fa074dc1d791 | [
"MIT"
] | null | null | null | sarsa.py | lukaspestalozzi/URLNN-Project2 | 425d3a14f063d91ae4b6183aa866fa074dc1d791 | [
"MIT"
] | null | null | null | sarsa.py | lukaspestalozzi/URLNN-Project2 | 425d3a14f063d91ae4b6183aa866fa074dc1d791 | [
"MIT"
] | null | null | null |
import mountaincar as mc
import numpy as np
from collections import namedtuple
from collections import defaultdict
import matplotlib.pylab as plb
import matplotlib.pyplot as plt
from time import time
State = namedtuple('State', ['x', 'v'])
class SarsaMountainCar(object):
def __init__(self, learning_rate=0.1, rew... | 24.727273 | 85 | 0.740809 | 301 | 0.553309 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.023897 |
9d87c99f7edc4a51975ce4aad83b2a68eca0165b | 4,931 | py | Python | utils.py | nea23/greek_alphabets_tf-idf | 94094dd6d7383400e0f0a9d4a1b05744dd2f3ba9 | [
"MIT"
] | null | null | null | utils.py | nea23/greek_alphabets_tf-idf | 94094dd6d7383400e0f0a9d4a1b05744dd2f3ba9 | [
"MIT"
] | null | null | null | utils.py | nea23/greek_alphabets_tf-idf | 94094dd6d7383400e0f0a9d4a1b05744dd2f3ba9 | [
"MIT"
] | null | null | null | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
"""
The following functions are used to create an annotated heatmap and they were copied from:
https://matplotlib.org/stable/gallery/images_contours_and_fields/image_annotated_heatmap.html#using-the-helper-function-code-style
""... | 34.725352 | 131 | 0.651592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,661 | 0.539647 |
9d87fe4b4c7aa76322c36b84c9220f5fee728c3d | 6,675 | py | Python | built-in/MindSpore/Official/cv/detection/CenterFace_for_MindSpore/src/launch.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 12 | 2020-12-13T08:34:24.000Z | 2022-03-20T15:17:17.000Z | built-in/MindSpore/Official/cv/detection/CenterFace_for_MindSpore/src/launch.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 3 | 2021-03-31T20:15:40.000Z | 2022-02-09T23:50:46.000Z | built-in/MindSpore/Official/cv/detection/CenterFace_for_MindSpore/src/launch.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 2 | 2021-07-10T12:40:46.000Z | 2021-12-17T07:55:15.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 43.914474 | 315 | 0.61588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,550 | 0.382022 |
9d88690768c73f37df5f9308e7658f80de5bdba2 | 1,475 | py | Python | orange3/Orange/widgets/credentials.py | rgschmitz1/BioDepot-workflow-builder | f74d904eeaf91ec52ec9b703d9fb38e9064e5a66 | [
"MIT"
] | 54 | 2017-01-08T17:21:49.000Z | 2021-11-02T08:46:07.000Z | orange3/Orange/widgets/credentials.py | Synthia-3/BioDepot-workflow-builder | 4ee93abe2d79465755e82a145af3b6a6e1e79fd4 | [
"MIT"
] | 22 | 2017-03-28T06:03:14.000Z | 2021-07-28T05:43:55.000Z | orange3/Orange/widgets/credentials.py | Synthia-3/BioDepot-workflow-builder | 4ee93abe2d79465755e82a145af3b6a6e1e79fd4 | [
"MIT"
] | 21 | 2017-01-26T21:12:09.000Z | 2022-01-31T21:34:59.000Z | import logging
import keyring
SERVICE_NAME = "Orange3 - {}"
log = logging.getLogger(__name__)
class CredentialManager:
"""
Class for storage of passwords in the system keyring service.
All attributes of this class are safely stored.
Args:
service_name (str): service name used for storing i... | 27.830189 | 88 | 0.614237 | 1,375 | 0.932203 | 0 | 0 | 84 | 0.056949 | 0 | 0 | 584 | 0.395932 |
9d886ff7c8fb1d674ed9db521c7c448a657e5fe1 | 3,799 | py | Python | Incident-Response/Tools/cyphon/cyphon/responder/actions/tests/test_models.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 1 | 2021-07-24T17:22:50.000Z | 2021-07-24T17:22:50.000Z | Incident-Response/Tools/cyphon/cyphon/responder/actions/tests/test_models.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-28T03:40:31.000Z | 2022-02-28T03:40:52.000Z | Incident-Response/Tools/cyphon/cyphon/responder/actions/tests/test_models.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-25T08:34:51.000Z | 2022-03-16T17:29:44.000Z | # -*- coding: utf-8 -*-
# Copyright 2017-2019 ControlScan, Inc.
#
# This file is part of Cyphon Engine.
#
# Cyphon Engine 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, version 3 of the License.
#
# Cyphon En... | 30.886179 | 72 | 0.630692 | 2,777 | 0.730982 | 0 | 0 | 0 | 0 | 0 | 0 | 1,550 | 0.408002 |
9d8881a2641e3115485a61059c62987f2d27bf5d | 4,805 | py | Python | predictions/lambda/handler.py | aaronshim/alexa-github-today | 4f3e7adffa9bb9f3d63cfc1f4a79f396078c787c | [
"MIT"
] | null | null | null | predictions/lambda/handler.py | aaronshim/alexa-github-today | 4f3e7adffa9bb9f3d63cfc1f4a79f396078c787c | [
"MIT"
] | null | null | null | predictions/lambda/handler.py | aaronshim/alexa-github-today | 4f3e7adffa9bb9f3d63cfc1f4a79f396078c787c | [
"MIT"
] | null | null | null | import json
import requests
from collections import defaultdict
from fuzzywuzzy import process
from random import sample
# Constants
"""
Constants for default responses that do not need any further computation.
"""
DEFAULT_STOP_RESPONSE = 'All right. See you next time!'
DEFAULT_ERROR_MESSAGE = "I'm sorry. I don't kn... | 33.838028 | 125 | 0.624766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,092 | 0.43538 |
9d88973447a6fc9a97038839f4db33428c51196b | 12,649 | py | Python | Train.py | prattcmp/speakerembedding | 5ed051261e69aaf7a1306c390b36cedb8da3f095 | [
"MIT"
] | null | null | null | Train.py | prattcmp/speakerembedding | 5ed051261e69aaf7a1306c390b36cedb8da3f095 | [
"MIT"
] | null | null | null | Train.py | prattcmp/speakerembedding | 5ed051261e69aaf7a1306c390b36cedb8da3f095 | [
"MIT"
] | null | null | null | import torch
import numpy as np
import logging, yaml, os, sys, argparse, time
from tqdm import tqdm
from collections import defaultdict
from Logger import Logger
import matplotlib
matplotlib.use('agg')
matplotlib.rcParams['agg.path.chunksize'] = 10000
import matplotlib.pyplot as plt
from scipy.io import wavfile
from ra... | 35.233983 | 137 | 0.591035 | 11,077 | 0.875721 | 0 | 0 | 580 | 0.045853 | 0 | 0 | 1,243 | 0.098269 |
9d8b9ee2c96a9f3f72e8c6e40b49a6ccfdc17590 | 2,247 | py | Python | steamstore/client.py | saucesteals/steam.py | b1017f85f23c0eccafc6f35814d2e57cb4aa23e7 | [
"MIT"
] | null | null | null | steamstore/client.py | saucesteals/steam.py | b1017f85f23c0eccafc6f35814d2e57cb4aa23e7 | [
"MIT"
] | null | null | null | steamstore/client.py | saucesteals/steam.py | b1017f85f23c0eccafc6f35814d2e57cb4aa23e7 | [
"MIT"
] | 1 | 2021-04-11T00:38:19.000Z | 2021-04-11T00:38:19.000Z | import logging
import asyncio
import aiohttp
from .defaults import *
from .app import App
from .featured import FeaturedList
log = logging.getLogger(__name__)
class Client:
"""Main class for the Steam API"""
def __init__(self, *, loop=None, **opts):
self.loop = asyncio.get_event_loop() if loop is ... | 26.127907 | 122 | 0.587895 | 2,082 | 0.926569 | 0 | 0 | 0 | 0 | 1,187 | 0.52826 | 167 | 0.074321 |
9d8c97671a23367d026ea52b147ffe064cc2939a | 881 | py | Python | ga/gen_graph.py | k4t0mono/exercicios-ia | 06f76db20f519b8d7e9b5ee2cf5c7a72b21e188c | [
"BSD-3-Clause"
] | 1 | 2018-09-23T15:38:04.000Z | 2018-09-23T15:38:04.000Z | ga/gen_graph.py | k4t0mono/exercicios-ia | 06f76db20f519b8d7e9b5ee2cf5c7a72b21e188c | [
"BSD-3-Clause"
] | null | null | null | ga/gen_graph.py | k4t0mono/exercicios-ia | 06f76db20f519b8d7e9b5ee2cf5c7a72b21e188c | [
"BSD-3-Clause"
] | null | null | null | import sys
import numpy as np
import matplotlib.pyplot as plt
f = open(sys.argv[1], 'r')
lines = f.readlines()
f.close()
pop_size = int(lines.pop(0))
pops = []
for l in lines:
if l[0] == '[':
pops.append(l.strip())
for j in range(len(pops)):
p = []
for n in pops[j][1:-1].split(','):
p.a... | 17.979592 | 52 | 0.506243 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 116 | 0.131669 |
9d8f0a7d44e8c877c0f58c7e9fe5bd054fd5c40a | 7,486 | py | Python | src/analyses/analyses.py | zahariaa/disentangled-dynamics | 2dbdf9884f6f90ff67073f571191227e7abce81d | [
"MIT"
] | null | null | null | src/analyses/analyses.py | zahariaa/disentangled-dynamics | 2dbdf9884f6f90ff67073f571191227e7abce81d | [
"MIT"
] | null | null | null | src/analyses/analyses.py | zahariaa/disentangled-dynamics | 2dbdf9884f6f90ff67073f571191227e7abce81d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
analyses for bVAE entanglement, etc
"""
import torch
import sys
sys.path.append("..") # Adds higher directory to python modules path.
import matplotlib.pyplot as plt
import numpy as np
from data.dspritesb import dSpriteBackgroundDataset
from torchvision import tran... | 36.339806 | 119 | 0.593909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,038 | 0.405824 |
9d9030a3ab27bda98f5076efe7e1d4f4d61c1b31 | 2,684 | py | Python | Chapter_BestPractices/Centering_Scaling.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | 2 | 2022-02-20T18:57:46.000Z | 2022-03-03T07:07:12.000Z | Chapter_BestPractices/Centering_Scaling.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | null | null | null | Chapter_BestPractices/Centering_Scaling.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | null | null | null | ##%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
## Centering & Scaling
## %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#%% Standard scaling
import numpy as np
from sklearn.preprocessing import StandardScaler
X = np.array([[ 100... | 31.209302 | 80 | 0.592399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,399 | 0.521237 |
9d9115d7ba282f909762763e4412827f039f107a | 943 | py | Python | pbtaskrunner/models.py | arxcruz/pbtaskrunner | 26aff681593aae0d72520509fd1fbecbc3c8a9a6 | [
"Apache-2.0"
] | null | null | null | pbtaskrunner/models.py | arxcruz/pbtaskrunner | 26aff681593aae0d72520509fd1fbecbc3c8a9a6 | [
"Apache-2.0"
] | null | null | null | pbtaskrunner/models.py | arxcruz/pbtaskrunner | 26aff681593aae0d72520509fd1fbecbc3c8a9a6 | [
"Apache-2.0"
] | null | null | null | from pbtaskrunner import db
from pbtaskrunner import app
from datetime import datetime
def date_time_now():
return datetime.now
class TestTask(db.Model):
"""Database representation of a Task test"""
__tablename__ = 'test_task'
request_id = db.Column(db.Integer, primary_key=True)
requester = db.... | 31.433333 | 64 | 0.710498 | 802 | 0.850477 | 0 | 0 | 0 | 0 | 0 | 0 | 188 | 0.199364 |
9d91be2759fba448a3db8257c92c32db569fc6fc | 2,244 | py | Python | web/addons/mass_mailing/models/mass_mailing_report.py | diogocs1/comps | 63df07f6cf21c41e4527c06e2d0499f23f4322e7 | [
"Apache-2.0"
] | 1 | 2019-12-29T11:53:56.000Z | 2019-12-29T11:53:56.000Z | odoo/addons/mass_mailing/models/mass_mailing_report.py | tuanquanghpvn/odoo8-tutorial | 52d25f1ca5f233c431cb9d3b24b79c3b4fb5127e | [
"MIT"
] | null | null | null | odoo/addons/mass_mailing/models/mass_mailing_report.py | tuanquanghpvn/odoo8-tutorial | 52d25f1ca5f233c431cb9d3b24b79c3b4fb5127e | [
"MIT"
] | 3 | 2020-10-08T14:42:10.000Z | 2022-01-28T14:12:29.000Z | # -*- coding: utf-8 -*-
from openerp.osv import fields, osv
from openerp import tools
class MassMailingReport(osv.Model):
_name = 'mail.statistics.report'
_auto = False
_description = 'Mass Mailing Statistics'
_columns = {
'scheduled_date': fields.datetime('Scheduled Date', readonly=True),
... | 42.339623 | 101 | 0.572638 | 2,154 | 0.959893 | 0 | 0 | 0 | 0 | 0 | 0 | 1,486 | 0.66221 |
9d92cc65827cd5fd979d0843a2269e9633857396 | 97 | py | Python | main.py | chengxianga2008/abn_amro | 66172747328b33a591ea4e4fcbb902cb823b91e0 | [
"BSD-2-Clause"
] | null | null | null | main.py | chengxianga2008/abn_amro | 66172747328b33a591ea4e4fcbb902cb823b91e0 | [
"BSD-2-Clause"
] | null | null | null | main.py | chengxianga2008/abn_amro | 66172747328b33a591ea4e4fcbb902cb823b91e0 | [
"BSD-2-Clause"
] | null | null | null | import app
if __name__ == "__main__":
app.daily_summary("data/Input.txt", "data/Output.csv") | 24.25 | 58 | 0.701031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.443299 |
9d934505c9a5de277afc3e1a3c4cc83a509daf62 | 2,750 | py | Python | modules/springerlink.py | Christoph-D/paperget | 9887936039ecc9fafe4dcce7988e75e964a05bcd | [
"MIT"
] | 3 | 2016-06-17T15:52:02.000Z | 2017-12-21T02:44:49.000Z | modules/springerlink.py | Christoph-D/paperget | 9887936039ecc9fafe4dcce7988e75e964a05bcd | [
"MIT"
] | null | null | null | modules/springerlink.py | Christoph-D/paperget | 9887936039ecc9fafe4dcce7988e75e964a05bcd | [
"MIT"
] | 1 | 2021-02-16T21:10:33.000Z | 2021-02-16T21:10:33.000Z | import urllib, re
class FakeUseragentURLopener(urllib.FancyURLopener):
version = "Mozilla/5.0 (Ubuntu; X11; Linux i686; rv:9.0.1) Gecko/20100101 Firefox/9.0.1"
urllib._urlopener = FakeUseragentURLopener()
download_pdf_regex = re.compile('.*<li class="pdf"><a class="sprite pdf-resource-sprite" href="([^"]*)" title... | 49.107143 | 129 | 0.651273 | 145 | 0.052727 | 0 | 0 | 0 | 0 | 0 | 0 | 1,169 | 0.425091 |
9d956d3bf237c9754179486589b614a0b07bc05b | 1,533 | py | Python | app/__init__.py | alexander-emelyanov/microblog | f549768b410f1ce70fbfcbcdf89fb945793168e2 | [
"MIT"
] | null | null | null | app/__init__.py | alexander-emelyanov/microblog | f549768b410f1ce70fbfcbcdf89fb945793168e2 | [
"MIT"
] | null | null | null | app/__init__.py | alexander-emelyanov/microblog | f549768b410f1ce70fbfcbcdf89fb945793168e2 | [
"MIT"
] | null | null | null | import os
from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
from flask.ext.login import LoginManager
from flask.ext.openid import OpenID
from config import basedir, ADMINS, MAIL_SERVER, MAIL_PORT, MAIL_USERNAME, MAIL_PASSWORD, MAIL_SECURE
app = Flask(__name__)
app.config.from_object('config')
db = S... | 26.894737 | 121 | 0.739726 | 0 | 0 | 0 | 0 | 76 | 0.049576 | 0 | 0 | 233 | 0.15199 |
9d99ee239305997e26415c20f473a94ad6005845 | 330 | py | Python | PersonalWebApp/Blog/migrations/0002_remove_post_wallpaper_representation.py | CiganOliviu/personal_website | abedf67efc2e7e212c32815f645d3b3709f9f177 | [
"MIT"
] | 1 | 2021-04-02T16:45:56.000Z | 2021-04-02T16:45:56.000Z | PersonalWebApp/Blog/migrations/0002_remove_post_wallpaper_representation.py | CiganOliviu/personal_website | abedf67efc2e7e212c32815f645d3b3709f9f177 | [
"MIT"
] | null | null | null | PersonalWebApp/Blog/migrations/0002_remove_post_wallpaper_representation.py | CiganOliviu/personal_website | abedf67efc2e7e212c32815f645d3b3709f9f177 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-09-03 17:04
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Blog', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='post',
name='wallpaper_representation',
... | 18.333333 | 47 | 0.593939 | 245 | 0.742424 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 0.3 |
9d9caa03a4ae2fbdbadf5bfc3fd2600ade753a1b | 3,460 | py | Python | modules/colors.py | trybefore/discordbot | 1ffce8149cde586e8c5883e8200b02937c5a15f6 | [
"MIT"
] | 3 | 2020-09-15T23:19:18.000Z | 2021-02-17T10:24:54.000Z | modules/colors.py | trybefore/discordbot | 1ffce8149cde586e8c5883e8200b02937c5a15f6 | [
"MIT"
] | 3 | 2021-06-22T10:57:14.000Z | 2021-06-22T10:57:15.000Z | modules/colors.py | trybefore/discordbot | 1ffce8149cde586e8c5883e8200b02937c5a15f6 | [
"MIT"
] | 2 | 2020-05-03T20:54:57.000Z | 2020-09-12T18:49:13.000Z | from threading import Lock
import discord
from discord.ext import commands
from loguru import logger
from local_types import Snowflake
from modules import is_bot_admin
class Colors(commands.Cog):
bot: discord.ext.commands.Bot
colorRoles = {}
mutex = Lock()
def __init__(self, bot):
self.bo... | 31.454545 | 161 | 0.57948 | 3,287 | 0.95 | 0 | 0 | 1,741 | 0.503179 | 2,054 | 0.593642 | 533 | 0.154046 |
9d9d2695df7ed5d007311b6af26fc83339dd2f8b | 526 | py | Python | src/test/python/loader_native.py | dlech/xlang | ace2c924cc1fbecd05804866e183124cbb73bd48 | [
"MIT"
] | null | null | null | src/test/python/loader_native.py | dlech/xlang | ace2c924cc1fbecd05804866e183124cbb73bd48 | [
"MIT"
] | null | null | null | src/test/python/loader_native.py | dlech/xlang | ace2c924cc1fbecd05804866e183124cbb73bd48 | [
"MIT"
] | 1 | 2022-01-23T06:01:40.000Z | 2022-01-23T06:01:40.000Z | import sys
sys.path.append("./generated")
sys.path.append("../../package/pywinrt/projection/pywinrt")
import _winrt
_winrt.init_apartment(_winrt.MTA)
def import_ns(ns):
import importlib.machinery
import importlib.util
module_name = "_winrt_" + ns.replace('.', '_')
loader = importlib.machinery.Extensio... | 30.941176 | 82 | 0.747148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.13308 |
9d9de2c097d8a8da90ec0340d6b529e57bfc179c | 2,247 | py | Python | src/main/scripts/evalDelly.py | cwhelan/cloudbreak | bcff41d5309cfffb1faffc1d46e3f85007f84981 | [
"MIT"
] | 4 | 2015-02-10T07:10:28.000Z | 2016-09-18T19:29:53.000Z | src/main/scripts/evalDelly.py | cwhelan/cloudbreak | bcff41d5309cfffb1faffc1d46e3f85007f84981 | [
"MIT"
] | null | null | null | src/main/scripts/evalDelly.py | cwhelan/cloudbreak | bcff41d5309cfffb1faffc1d46e3f85007f84981 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import subprocess
import evalBedFile
# Delly file format (when only del summaries in file - cat *.del.txt | grep Deletion)
# The summary line contains the chromosome, the estimated start and end of the structural variant,
# the size of the variant, the number of supporting pairs, the ... | 31.208333 | 125 | 0.652425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 565 | 0.251446 |
9d9e064b6bf0f12b09cc360b5115a0ae4d5fbeff | 1,645 | py | Python | examples/basic_dsp_example.py | Camotubi/basic_dsp | 38a380439cc8936c64febbc12227df78d95fce7f | [
"Apache-2.0",
"MIT"
] | 40 | 2015-11-23T02:23:35.000Z | 2022-03-18T11:19:11.000Z | examples/basic_dsp_example.py | Camotubi/basic_dsp | 38a380439cc8936c64febbc12227df78d95fce7f | [
"Apache-2.0",
"MIT"
] | 47 | 2015-11-23T01:58:38.000Z | 2021-01-11T07:53:37.000Z | examples/basic_dsp_example.py | Camotubi/basic_dsp | 38a380439cc8936c64febbc12227df78d95fce7f | [
"Apache-2.0",
"MIT"
] | 9 | 2018-05-19T07:25:26.000Z | 2022-01-09T20:51:40.000Z | import ctypes
import struct
import time
#
# A small example how to use basic_dsp in a different language.
#
class VecResult(ctypes.Structure):
_fields_ = [("resultCode", ctypes.c_int),
("result", ctypes.c_void_p)]
lib = ctypes.WinDLL('basic_dsp.dll')
new64Proto = ctypes.WINFUNCTYPE (
ctypes... | 26.967213 | 100 | 0.677204 | 125 | 0.075988 | 0 | 0 | 0 | 0 | 0 | 0 | 346 | 0.210334 |
9da16db4956d4af0439ae0a5ca6c02568b1d609f | 53,171 | py | Python | src/pytris.py | CSID-DGU/2019-2-OSSPC-MDJ-1 | 2987e11b65bc9e31a30cadd39eea4214e2261998 | [
"MIT"
] | 1 | 2019-09-24T04:55:29.000Z | 2019-09-24T04:55:29.000Z | src/pytris.py | CSID-DGU/2019-2-OSSPC-MDJ-1 | 2987e11b65bc9e31a30cadd39eea4214e2261998 | [
"MIT"
] | null | null | null | src/pytris.py | CSID-DGU/2019-2-OSSPC-MDJ-1 | 2987e11b65bc9e31a30cadd39eea4214e2261998 | [
"MIT"
] | 7 | 2019-09-24T05:14:24.000Z | 2019-12-10T04:15:28.000Z | #!/usr/bin/env python
# coding: utf-8
import pygame
import operator
from mino import *
from random import *
from pygame.locals import *
from ui import *
from screeninfo import get_monitors
from pygame.surface import Surface
import sys
from function import *
#화면크기 조정
screen_width = 0
screen_height = 0
for m in get_m... | 41.313908 | 179 | 0.514134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,275 | 0.060938 |
9da1a92cdcf88a9e292d7bdc3fb0eeb027139777 | 2,305 | py | Python | chemex/experiments/cpmg/fast/liouvillian.py | marcuscangussu/chemex_bouvignies | ce9ec20a42604eb5995abb0f8a84094b29747651 | [
"BSD-3-Clause"
] | null | null | null | chemex/experiments/cpmg/fast/liouvillian.py | marcuscangussu/chemex_bouvignies | ce9ec20a42604eb5995abb0f8a84094b29747651 | [
"BSD-3-Clause"
] | null | null | null | chemex/experiments/cpmg/fast/liouvillian.py | marcuscangussu/chemex_bouvignies | ce9ec20a42604eb5995abb0f8a84094b29747651 | [
"BSD-3-Clause"
] | null | null | null | """
Created on Sep 1, 2011
@author: guillaume
"""
from scipy import zeros
from chemex.bases.two_states.fast import R_IXY, DR_IXY, DW, KAB, KBA
def compute_liouvillians(pb=0.0, kex=0.0, dw=0.0,
r_ixy=5.0, dr_ixy=0.0):
"""
Compute the exchange matrix (Liouvillian)
The function a... | 21.745283 | 81 | 0.59436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,686 | 0.731453 |
9da1d621b03730a6eb8d7bba6dfd398419916f66 | 7,261 | py | Python | test/nba/test_fzrs.py | jgershen/sportsball | 8aa2a599091fb14d1897f2e4b77384e9ee6b0eed | [
"MIT"
] | 21 | 2016-03-12T00:59:04.000Z | 2022-03-01T21:32:51.000Z | test/nba/test_fzrs.py | jgershen/sportsball | 8aa2a599091fb14d1897f2e4b77384e9ee6b0eed | [
"MIT"
] | 1 | 2017-04-17T04:39:46.000Z | 2017-04-17T04:39:46.000Z | test/nba/test_fzrs.py | jgershen/sportsball | 8aa2a599091fb14d1897f2e4b77384e9ee6b0eed | [
"MIT"
] | 4 | 2016-07-25T11:55:52.000Z | 2019-06-19T20:55:53.000Z |
import tempfile
import shutil
import os
import pandas
import numpy as np
import datetime
import pkg_resources
from unittest import TestCase
from dfs.nba.featurizers import feature_generators
from dfs.nba.featurizers import fantasy_points_fzr, last5games_fzr, nf_stats_fzr, vegas_fzr, \
opp_ffpg_fzr, salary_fzr
class... | 49.060811 | 115 | 0.450764 | 6,946 | 0.956618 | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 0.064041 |
9da1ed6becdb22c4f8292e530b55e6268710e72f | 1,346 | py | Python | tests/test_status.py | ehdgua01/blocksync | da0198dde87d284ea3c9472c10f51028e05014a0 | [
"MIT"
] | 5 | 2020-06-03T09:30:15.000Z | 2021-12-14T23:48:47.000Z | tests/test_status.py | ehdgua01/blocksync | da0198dde87d284ea3c9472c10f51028e05014a0 | [
"MIT"
] | 2 | 2021-03-19T07:37:57.000Z | 2021-06-18T11:54:46.000Z | tests/test_status.py | ehdgua01/blocksync | da0198dde87d284ea3c9472c10f51028e05014a0 | [
"MIT"
] | null | null | null | from blocksync._consts import ByteSizes
from blocksync._status import Blocks
def test_initialize_status(fake_status):
# Expect: Set chunk size
assert fake_status.chunk_size == fake_status.src_size // fake_status.workers
def test_add_block(fake_status):
# Expect: Add each blocks and calculate done block
... | 30.590909 | 80 | 0.724368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 324 | 0.240713 |
9da20747a22e24702a7eb51c79e588aff84309dd | 275 | py | Python | tests/helpers.py | hawkfish/sudoku | eaae1aa3080032266db0fcfc8a6520a9cb5690fe | [
"MIT"
] | null | null | null | tests/helpers.py | hawkfish/sudoku | eaae1aa3080032266db0fcfc8a6520a9cb5690fe | [
"MIT"
] | null | null | null | tests/helpers.py | hawkfish/sudoku | eaae1aa3080032266db0fcfc8a6520a9cb5690fe | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import os
def readFixture(sdk):
f = open(os.path.join('tests', 'fixtures', sdk), 'r')
lines = f.readlines()
f.close()
return [ line.strip('\n') for line in lines]
def valuesFromDisplay(display):
return [value-1 for value in display]
| 21.153846 | 57 | 0.643636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.152727 |
9da26db5109dcd203a39bfcab1fbaa5c755f0368 | 33,787 | py | Python | Software/python/config_dialog.py | edavalosanaya/SKORE | 72e742611ba96b0df542781ded0685f525bea82b | [
"MIT"
] | 1 | 2020-09-20T19:00:17.000Z | 2020-09-20T19:00:17.000Z | Software/python/config_dialog.py | MrCodingRobot/SKORE | 72e742611ba96b0df542781ded0685f525bea82b | [
"MIT"
] | null | null | null | Software/python/config_dialog.py | MrCodingRobot/SKORE | 72e742611ba96b0df542781ded0685f525bea82b | [
"MIT"
] | null | null | null | # General Utility Libraries
import sys
import os
import warnings
# PyQt5, GUI Library
from PyQt5 import QtCore, QtGui, QtWidgets
# Serial and Midi Port Library
import rtmidi
import serial
import serial.tools.list_ports
# SKORE Library
from lib_skore import read_config, update_config
import globals
#----------------... | 48.336195 | 184 | 0.671797 | 33,135 | 0.980703 | 0 | 0 | 0 | 0 | 0 | 0 | 6,610 | 0.195637 |
9da270a879210ead826c86bdc8c185c7e2c0effa | 1,814 | py | Python | valorant/caller.py | frissyn/valorant.py | 49abceab5cc1f3af016ce0b1d253d10089aeb0b4 | [
"MIT"
] | 56 | 2021-01-22T01:48:23.000Z | 2022-03-31T20:44:23.000Z | valorant/caller.py | Tominous/valorant.py | b462441ab4ab403123ad245cab30f3abbd891a66 | [
"MIT"
] | 20 | 2021-02-03T10:40:37.000Z | 2022-03-24T11:23:57.000Z | valorant/caller.py | Tominous/valorant.py | b462441ab4ab403123ad245cab30f3abbd891a66 | [
"MIT"
] | 15 | 2021-03-24T01:17:58.000Z | 2022-02-01T02:10:27.000Z | import requests
from .values import ROUTES
from .values import LOCALES
from .values import REGIONS
from .values import ENDPOINTS
def value_check(*args):
KEYS = ROUTES + LOCALES + REGIONS
for arg in args:
if arg not in KEYS:
raise ValueError
else:
return True
class W... | 27.484848 | 85 | 0.555678 | 1,497 | 0.825248 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.159868 |
9da470ea36af0b767f746d020e41a7f0c5dba94a | 153 | py | Python | python/niveau1/2-Repetitions/6.py | ThomasProg/France-IOI | 03ea502e03f686d74ecf31a17273aded7b8e8a1f | [
"MIT"
] | 2 | 2022-02-13T13:35:13.000Z | 2022-03-31T21:02:11.000Z | python/niveau1/2-Repetitions/6.py | ThomasProg/France-IOI | 03ea502e03f686d74ecf31a17273aded7b8e8a1f | [
"MIT"
] | null | null | null | python/niveau1/2-Repetitions/6.py | ThomasProg/France-IOI | 03ea502e03f686d74ecf31a17273aded7b8e8a1f | [
"MIT"
] | 1 | 2020-11-15T15:21:24.000Z | 2020-11-15T15:21:24.000Z | for i in range(30):
print("a_", end="")
print()
for i in range(30):
print("b_", end="")
print()
for i in range(30):
print("c_", end="")
| 15.3 | 23 | 0.51634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.117647 |
9da846794dabe811239a290251111e03ccfb593a | 1,256 | py | Python | test_LearnSubtitles.py | heitor31415/LearnSubtitles | 153178ea11d700a49a1f3692de39e8fc81e3cc4e | [
"MIT"
] | 8 | 2020-02-13T03:08:25.000Z | 2021-01-11T20:28:39.000Z | test_LearnSubtitles.py | heitor31415/LearnSubtitles | 153178ea11d700a49a1f3692de39e8fc81e3cc4e | [
"MIT"
] | 1 | 2020-04-28T19:48:16.000Z | 2020-04-29T12:28:15.000Z | test_LearnSubtitles.py | heitor31415/LearnSubtitles | 153178ea11d700a49a1f3692de39e8fc81e3cc4e | [
"MIT"
] | 1 | 2020-03-14T00:46:36.000Z | 2020-03-14T00:46:36.000Z | import os
import pytest
from typing import Any, Callable, Dict, List
import LearnSubtitles as ls
def prepare(language: str) -> List:
""" Create LearnSubtitles objects for every subtitle in folder 'language' """
test_dir = "testfiles/" + language
subs = [
ls.LearnSubtitles(os.path.abspath(os.path... | 26.723404 | 85 | 0.648089 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0.206349 |
9daad46c18973b22ab6ea33d444cd0187d68fcac | 2,455 | py | Python | programs/graduation-project/featureselection.py | Dilmuratjan/MyProject | 26f4ee708eb4a7ceef780842ad737fef64a39d7e | [
"WTFPL"
] | 2 | 2017-02-19T15:11:06.000Z | 2017-02-22T18:34:10.000Z | programs/graduation-project/featureselection.py | Dilmuratjan/MyProject | 26f4ee708eb4a7ceef780842ad737fef64a39d7e | [
"WTFPL"
] | null | null | null | programs/graduation-project/featureselection.py | Dilmuratjan/MyProject | 26f4ee708eb4a7ceef780842ad737fef64a39d7e | [
"WTFPL"
] | 4 | 2017-02-26T08:10:30.000Z | 2017-05-02T10:02:03.000Z | import pandas as pd
import numpy as np
from time import time
import matplotlib.pyplot as plt
from sklearn.ensemble import ExtraTreesClassifier
train = pd.read_excel('stats.xls', sheet_name='train')
test = pd.read_excel('stats.xls', sheet_name='test')
array_train = train.values
array_test = test.values
X = array_trai... | 27.277778 | 81 | 0.638697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,662 | 0.675885 |
9dabb9b1903ea38cf40c186f6bcbd195fb25dff0 | 618 | py | Python | logpot/admin/file.py | moremorefor/logpot | 26a48766dc764f93aa29f6d949af8a05de5d9152 | [
"MIT"
] | 4 | 2016-08-31T08:03:09.000Z | 2019-03-15T07:11:49.000Z | logpot/admin/file.py | moremorefor/logpot | 26a48766dc764f93aa29f6d949af8a05de5d9152 | [
"MIT"
] | 4 | 2021-05-10T00:34:14.000Z | 2022-03-11T23:22:06.000Z | logpot/admin/file.py | moremorefor/logpot | 26a48766dc764f93aa29f6d949af8a05de5d9152 | [
"MIT"
] | 1 | 2017-08-08T22:51:13.000Z | 2017-08-08T22:51:13.000Z | #-*- coding: utf-8 -*-
from logpot.admin.base import AuthenticateView
from logpot.utils import ImageUtil
from flask import flash, redirect
from flask_admin import expose
from flask_admin.contrib.fileadmin import FileAdmin
from flask_admin.babel import gettext
import os
import os.path as op
from operator import itemg... | 24.72 | 53 | 0.775081 | 259 | 0.419094 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.035599 |
9dabcfa6524e1e4a0e2b51dbe24a327024815ea3 | 24 | py | Python | emailutil/__init__.py | cityofaustin/atd-utils-email | bcf2c55fe770745a2ed6da22e44971ef6ceaae37 | [
"CC0-1.0"
] | null | null | null | emailutil/__init__.py | cityofaustin/atd-utils-email | bcf2c55fe770745a2ed6da22e44971ef6ceaae37 | [
"CC0-1.0"
] | null | null | null | emailutil/__init__.py | cityofaustin/atd-utils-email | bcf2c55fe770745a2ed6da22e44971ef6ceaae37 | [
"CC0-1.0"
] | null | null | null | from .emailutil import * | 24 | 24 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9dacec32c244293fcf0c09720725cd6c562e10da | 4,888 | py | Python | fast_downloader_mt/main.py | Kirozen/fast-downloader | febdcc8b6a6ad3b8d263a8923b8f24e8402df618 | [
"MIT"
] | null | null | null | fast_downloader_mt/main.py | Kirozen/fast-downloader | febdcc8b6a6ad3b8d263a8923b8f24e8402df618 | [
"MIT"
] | null | null | null | fast_downloader_mt/main.py | Kirozen/fast-downloader | febdcc8b6a6ad3b8d263a8923b8f24e8402df618 | [
"MIT"
] | null | null | null | from __future__ import annotations
import multiprocessing
import os
import re
import sys
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass, field
from itertools import chain
from pathlib import Path
from urllib.parse import urlparse
import click
import requests
from requests.models i... | 28.091954 | 88 | 0.625818 | 263 | 0.053739 | 0 | 0 | 1,471 | 0.300572 | 0 | 0 | 401 | 0.081937 |
9dad12fdcaa78561145c587bd080d424b377a384 | 1,060 | py | Python | backend/app/core/security.py | rufusnufus/BTSParking | 3bb6e7fd20943f258e297428ab1624c4f2786444 | [
"MIT"
] | 2 | 2021-11-13T08:05:14.000Z | 2021-12-02T11:36:11.000Z | backend/app/core/security.py | rufusnufus/BTSParking | 3bb6e7fd20943f258e297428ab1624c4f2786444 | [
"MIT"
] | 44 | 2021-11-23T10:06:11.000Z | 2021-12-18T07:23:22.000Z | backend/app/core/security.py | rufusnufus/BTSParking | 3bb6e7fd20943f258e297428ab1624c4f2786444 | [
"MIT"
] | null | null | null | import os
import time
from hashlib import sha256
import requests
from dotenv import load_dotenv
from fastapi.security import OAuth2PasswordBearer
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
load_dotenv(os.path.join(BASE_DIR, "../.env"))
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="api/v1/activate-login-c... | 30.285714 | 84 | 0.724528 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 161 | 0.151887 |
9dad8057a50b53867020fcecaeb0676d2cfff102 | 4,362 | py | Python | sitch/sitchlib/geo_correlator.py | codecuisine/sensor | 06fb0908178af1ab673b95e7f435b873cc62e61b | [
"ECL-2.0",
"Apache-2.0",
"BSD-2-Clause"
] | 68 | 2016-08-08T17:28:59.000Z | 2021-11-26T09:31:52.000Z | sitch/sitchlib/geo_correlator.py | codecuisine/sensor | 06fb0908178af1ab673b95e7f435b873cc62e61b | [
"ECL-2.0",
"Apache-2.0",
"BSD-2-Clause"
] | 61 | 2016-08-20T21:01:01.000Z | 2020-07-22T06:10:45.000Z | sitch/sitchlib/geo_correlator.py | codecuisine/sensor | 06fb0908178af1ab673b95e7f435b873cc62e61b | [
"ECL-2.0",
"Apache-2.0",
"BSD-2-Clause"
] | 40 | 2017-01-28T23:06:22.000Z | 2021-08-13T15:09:43.000Z | """Correlate based on geograpgic information."""
from alert_manager import AlertManager
from utility import Utility
class GeoCorrelator(object):
"""Geographic correlator."""
def __init__(self, device_id):
"""Initialize the Geographic Correlator."""
self.geo_anchor = {}
self.threshold... | 44.969072 | 208 | 0.570381 | 4,242 | 0.97249 | 0 | 0 | 2,058 | 0.471802 | 0 | 0 | 2,066 | 0.473636 |
9dadf1bb28dc34ec81f4c906780d3dcd3137e862 | 1,697 | py | Python | grid_search_results_v1/get_vals_heatmap.py | malfarasplux/pnet2019 | ae34d5c84fb4d3985634b237a14dfb69e98b8339 | [
"BSD-3-Clause"
] | 1 | 2020-11-29T12:42:30.000Z | 2020-11-29T12:42:30.000Z | grid_search_results_v1/get_vals_heatmap.py | malfarasplux/pnet2019 | ae34d5c84fb4d3985634b237a14dfb69e98b8339 | [
"BSD-3-Clause"
] | null | null | null | grid_search_results_v1/get_vals_heatmap.py | malfarasplux/pnet2019 | ae34d5c84fb4d3985634b237a14dfb69e98b8339 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
N =[20,40,50,75,100,150,200]
scale = [0.0001, 0.001, 0.005, 0.01, 0.1, 1, 10] ... | 38.568182 | 160 | 0.476134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 0.109605 |
9daef14a7cdf5e935df51508fb1293fad577407c | 72 | py | Python | build/scripts-3.5/mooc_anon.py | acheamponge/mooc_anon | b06dec9c4c47011f69ff4f6e21a0f5862e2ffd5c | [
"MIT"
] | 3 | 2019-07-08T01:16:57.000Z | 2021-09-23T12:44:02.000Z | build/scripts-3.5/mooc_anon.py | acheamponge/mooc_anon | b06dec9c4c47011f69ff4f6e21a0f5862e2ffd5c | [
"MIT"
] | null | null | null | build/scripts-3.5/mooc_anon.py | acheamponge/mooc_anon | b06dec9c4c47011f69ff4f6e21a0f5862e2ffd5c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
print("hey there, this is my first pip package")
| 18 | 48 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.861111 |
9daf2e07854e8ace58237146dcb7ca501dc5a1ae | 111 | py | Python | odata_query/django/__init__.py | itd-fsc/odata-query | 7d5239b775633594ce52d4eda5754c2ad078eb75 | [
"MIT"
] | 26 | 2021-06-11T07:42:08.000Z | 2022-02-16T04:42:45.000Z | odata_query/django/__init__.py | itd-fsc/odata-query | 7d5239b775633594ce52d4eda5754c2ad078eb75 | [
"MIT"
] | 13 | 2021-08-07T21:38:22.000Z | 2022-03-28T17:25:47.000Z | odata_query/django/__init__.py | itd-fsc/odata-query | 7d5239b775633594ce52d4eda5754c2ad078eb75 | [
"MIT"
] | 6 | 2021-07-28T04:46:14.000Z | 2022-03-15T08:22:19.000Z | from .django_q import AstToDjangoQVisitor
from .django_q_ext import *
from .shorthand import apply_odata_query
| 27.75 | 41 | 0.855856 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9dafa0a196d3c478e9ef8c55c4f9dd2dd56b60ad | 1,457 | py | Python | _snippets/scrape_RAND_pdfs.py | vashu1/data_snippets | b0ae5230d60c2054c7b9278093533b7f71f3758b | [
"MIT"
] | 1 | 2021-02-10T20:33:43.000Z | 2021-02-10T20:33:43.000Z | _snippets/scrape_RAND_pdfs.py | vashu1/data_snippets | b0ae5230d60c2054c7b9278093533b7f71f3758b | [
"MIT"
] | null | null | null | _snippets/scrape_RAND_pdfs.py | vashu1/data_snippets | b0ae5230d60c2054c7b9278093533b7f71f3758b | [
"MIT"
] | null | null | null | # scrape articles from RAND site, see https://vashu11.livejournal.com/20523.html
import re
import requests
from bs4 import BeautifulSoup
import os
content = ['https://www.rand.org/pubs/papers.html'] + ['https://www.rand.org/pubs/papers.{}.html'.format(i) for i in range(2, 108)]
def get_articles(page):
page = requ... | 38.342105 | 180 | 0.577213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 401 | 0.275223 |
9db042c12b1460a61eed0c0cb77f85501b0f72a1 | 215 | py | Python | plugins/dbnd-snowflake/src/dbnd_snowflake/__init__.py | FHoffmannCode/dbnd | 82beee1a8c752235bf21b4b0ceace5ab25410e52 | [
"Apache-2.0"
] | null | null | null | plugins/dbnd-snowflake/src/dbnd_snowflake/__init__.py | FHoffmannCode/dbnd | 82beee1a8c752235bf21b4b0ceace5ab25410e52 | [
"Apache-2.0"
] | null | null | null | plugins/dbnd-snowflake/src/dbnd_snowflake/__init__.py | FHoffmannCode/dbnd | 82beee1a8c752235bf21b4b0ceace5ab25410e52 | [
"Apache-2.0"
] | null | null | null | from dbnd._core.commands.metrics import log_snowflake_table
from dbnd_snowflake.snowflake_resources import log_snowflake_resource_usage
__all__ = [
"log_snowflake_resource_usage",
"log_snowflake_table",
]
| 23.888889 | 75 | 0.827907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0.237209 |
9db66809b3f7cfe04fff2e0d4fd9725d23130f54 | 2,422 | py | Python | inputs/fino2_dats.py | a2edap/WE-Validate | 6e4be8228c9b4f66fb1a056f7566030b79441f2e | [
"BSD-3-Clause"
] | 1 | 2022-01-21T08:09:03.000Z | 2022-01-21T08:09:03.000Z | inputs/fino2_dats.py | a2edap/WE-Validate | 6e4be8228c9b4f66fb1a056f7566030b79441f2e | [
"BSD-3-Clause"
] | null | null | null | inputs/fino2_dats.py | a2edap/WE-Validate | 6e4be8228c9b4f66fb1a056f7566030b79441f2e | [
"BSD-3-Clause"
] | 1 | 2021-06-14T09:32:36.000Z | 2021-06-14T09:32:36.000Z | # A parser for multiple FINO2 .dat files in a directory.
import os
import pathlib
import pandas as pd
import numpy as np
import glob
import sys
class fino2_dats:
"""FINO2 data class
"""
def __init__(self, info, conf):
self.path = os.path.join(
(pathlib.Path(os.getcwd()).parent), str... | 31.051282 | 78 | 0.514038 | 2,274 | 0.938893 | 0 | 0 | 0 | 0 | 0 | 0 | 815 | 0.336499 |
9db67e536e2a5337dee11670942d6aa03db5b908 | 2,481 | py | Python | bin/ess/dependencies.py | clu3bot/cora | de4d1af983c135184ebaf557271fa14c7c0e1849 | [
"MIT"
] | null | null | null | bin/ess/dependencies.py | clu3bot/cora | de4d1af983c135184ebaf557271fa14c7c0e1849 | [
"MIT"
] | null | null | null | bin/ess/dependencies.py | clu3bot/cora | de4d1af983c135184ebaf557271fa14c7c0e1849 | [
"MIT"
] | null | null | null | import subprocess as sp
import os
import time
import platform
from os.path import exists
#colar vars
class color:
lightblue='\033[1;34m' #light blue
lightred='\033[1;31m' #light red
lightgreen='\033[1;32m' #lightgreen
red='\033[0;31m' #red
yellow='\033[1;33m' #yellow
none='\033[0m' #no color
... | 20.675 | 84 | 0.584442 | 442 | 0.178154 | 0 | 0 | 0 | 0 | 0 | 0 | 738 | 0.297461 |
9db6de217e5adf7d8e64871e558fa7b849812773 | 3,880 | py | Python | calculate_Total-Hetero.py | evodify/population-genetic-analyses | 5295f9d68736ac02fc5f3ece43dadd5bf4e98e6f | [
"MIT"
] | 3 | 2018-01-31T09:57:10.000Z | 2021-02-03T18:34:01.000Z | calculate_Total-Hetero.py | evodify/population-genetic-analyses | 5295f9d68736ac02fc5f3ece43dadd5bf4e98e6f | [
"MIT"
] | null | null | null | calculate_Total-Hetero.py | evodify/population-genetic-analyses | 5295f9d68736ac02fc5f3ece43dadd5bf4e98e6f | [
"MIT"
] | 1 | 2019-09-02T06:13:29.000Z | 2019-09-02T06:13:29.000Z | #! /usr/bin/env python
'''
This script calculates total heterozygosity.
#Example input:
CHROM POS REF sample1 sample2 sample3 sample4 sample5 sample6 sample7 sample8
chr_1 1 A W N N A N N N N
chr_1 2 C Y Y N C C N C N
chr_1 3 C N C N C C C C C
chr_1 4 ... | 30.077519 | 130 | 0.549227 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,586 | 0.666495 |
9db72ff4ce32323ddaf8107b708ab0ac40987bfc | 2,748 | py | Python | src/bfh.py | Pella86/Snake4d | cdf3773b42efc888affa33dd22ebe56a48f6d979 | [
"MIT"
] | 79 | 2018-05-23T09:39:00.000Z | 2021-11-29T02:26:07.000Z | src/bfh.py | Pella86/Snake4d | cdf3773b42efc888affa33dd22ebe56a48f6d979 | [
"MIT"
] | 1 | 2020-06-13T17:57:14.000Z | 2020-06-16T15:53:40.000Z | src/bfh.py | Pella86/Snake4d | cdf3773b42efc888affa33dd22ebe56a48f6d979 | [
"MIT"
] | 6 | 2018-06-28T13:03:38.000Z | 2021-03-06T14:24:32.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 27 17:24:58 2018
@author: Mauro
"""
#==============================================================================
# Imports
#==============================================================================
import struct
#=================================================... | 26.941176 | 79 | 0.409025 | 1,734 | 0.631004 | 0 | 0 | 0 | 0 | 0 | 0 | 1,423 | 0.517831 |
9db736834f35ad283117ff978c76815cc0ba771c | 8,726 | py | Python | bin/read_analysis.py | louperelo/longmetarg | 026b66c3621a4bcc71f5bc8a73955faf57978985 | [
"MIT"
] | null | null | null | bin/read_analysis.py | louperelo/longmetarg | 026b66c3621a4bcc71f5bc8a73955faf57978985 | [
"MIT"
] | null | null | null | bin/read_analysis.py | louperelo/longmetarg | 026b66c3621a4bcc71f5bc8a73955faf57978985 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pandas as pd
from scipy import stats
import numpy as np
#import seaborn as sns
#import matplotlib.pyplot as plt
import math
from Bio import SeqIO
import io
import re
import pysam
from functools import reduce
import argparse
import os
parser = argparse.ArgumentParser()
parser.add_argum... | 47.68306 | 180 | 0.655168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,503 | 0.516044 |
9db737d0aa2bbc9904ff5f6209cdc235a2493a9c | 6,315 | py | Python | parkinglot/admin.py | YangWanjun/areaparking | b08bc9b8f8d5f602d823115263b9d040edb9f245 | [
"Apache-2.0"
] | 1 | 2018-08-02T04:00:44.000Z | 2018-08-02T04:00:44.000Z | parkinglot/admin.py | YangWanjun/areaparking | b08bc9b8f8d5f602d823115263b9d040edb9f245 | [
"Apache-2.0"
] | null | null | null | parkinglot/admin.py | YangWanjun/areaparking | b08bc9b8f8d5f602d823115263b9d040edb9f245 | [
"Apache-2.0"
] | null | null | null | import datetime
from django.contrib import admin
from django.core.exceptions import ObjectDoesNotExist
from django.db.models import Max
from . import models, forms
from address.biz import geocode
from utils import common
from utils.django_base import BaseAdmin
# Register your models here.
class ParkingPositionInlin... | 33.951613 | 133 | 0.62977 | 5,525 | 0.857254 | 0 | 0 | 4,728 | 0.733592 | 0 | 0 | 1,433 | 0.222343 |
9db76eb5840b9b7ac5d4ffae358c55f69c7c5da4 | 965 | py | Python | graficas.py | dianuchitop/el26 | e84bb35ca9d6a603d515a624a85dae27cd4d10f2 | [
"MIT"
] | null | null | null | graficas.py | dianuchitop/el26 | e84bb35ca9d6a603d515a624a85dae27cd4d10f2 | [
"MIT"
] | null | null | null | graficas.py | dianuchitop/el26 | e84bb35ca9d6a603d515a624a85dae27cd4d10f2 | [
"MIT"
] | null | null | null | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
filenames=["euler.dat","rk4.dat","leapfrog.dat"]
fig, axs = plt.subplots(nrows=3, ncols=3)
ax=axs[0][0]
ax.set_title('Euler')
ax=axs[0][1]
ax.set_title('RK4')
ax=axs[0][2]
ax.set_title('Leap_frog')
for i in range(3):
f=open(filenames[i],"r")
s... | 24.74359 | 48 | 0.635233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 127 | 0.131606 |
9db821a6f16092b02b4cd4951deab910f4dfd292 | 565 | py | Python | __scraping__/zipnet.in - requests/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 140 | 2017-02-21T22:49:04.000Z | 2022-03-22T17:51:58.000Z | __scraping__/zipnet.in - requests/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 5 | 2017-12-02T19:55:00.000Z | 2021-09-22T23:18:39.000Z | __scraping__/zipnet.in - requests/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 79 | 2017-01-25T10:53:33.000Z | 2022-03-11T16:13:57.000Z | import requests
from bs4 import BeautifulSoup
from time import sleep
url = "http://zipnet.in/index.php?page=missing_person_search&criteria=browse_all&Page_No=1"
r = requests.get(url)
soup = BeautifulSoup(r.content, 'html.parser')
all_tables = soup.findAll('table')
for table in all_tables:
print('--- table ---')... | 26.904762 | 91 | 0.660177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.226549 |
9dbc6591cdea251b119f8bcead36767b18ac8b75 | 4,654 | py | Python | mailpile/plugins/contacts.py | k0nsl/Mailpile | 556f5f9040c4e01b005b4d633f3213668a474936 | [
"Apache-2.0"
] | null | null | null | mailpile/plugins/contacts.py | k0nsl/Mailpile | 556f5f9040c4e01b005b4d633f3213668a474936 | [
"Apache-2.0"
] | null | null | null | mailpile/plugins/contacts.py | k0nsl/Mailpile | 556f5f9040c4e01b005b4d633f3213668a474936 | [
"Apache-2.0"
] | null | null | null | import mailpile.plugins
from mailpile.commands import Command
from mailpile.mailutils import Email, ExtractEmails
from mailpile.util import *
class VCard(Command):
"""Add/remove/list/edit vcards"""
ORDER = ('Internals', 6)
KIND = ''
SYNOPSIS = '<nickname>'
def command(self, save=True):
session, config =... | 30.220779 | 84 | 0.613666 | 4,375 | 0.940052 | 0 | 0 | 0 | 0 | 0 | 0 | 687 | 0.147615 |
9dbe26545533c7c7d397d2847ba2a1eeca8ad8ef | 1,663 | py | Python | hw2/codes/plot.py | Trinkle23897/Artificial-Neural-Network-THU-2018 | 3326ed131298caaaf3fd0b6af80de37fd1ff9526 | [
"MIT"
] | 38 | 2019-01-23T07:14:19.000Z | 2022-03-07T06:03:21.000Z | hw2/codes/plot.py | ywythu/Artificial-Neural-Network-THU-2018 | 3326ed131298caaaf3fd0b6af80de37fd1ff9526 | [
"MIT"
] | null | null | null | hw2/codes/plot.py | ywythu/Artificial-Neural-Network-THU-2018 | 3326ed131298caaaf3fd0b6af80de37fd1ff9526 | [
"MIT"
] | 17 | 2019-03-30T06:33:06.000Z | 2021-12-24T10:42:39.000Z | import numpy as np
from pylab import *
D = 10
acc1 = np.load('res/small/acc.npy').reshape(D, -1).mean(axis=0)
loss1 = np.load('res/small/loss.npy').reshape(D, -1).mean(axis=0)
acc2 = np.load('res/large/acc.npy').reshape(D, -1).mean(axis=0)
loss2 = np.load('res/large/loss.npy').reshape(D, -1).mean(axis=0)
cut = int(acc... | 41.575 | 91 | 0.654841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 821 | 0.493686 |
9dbe2a0458905fed950a4384ff34ad0dc77f394d | 696 | py | Python | app/helpers/__init__.py | jaywonder20/Flask_Api_Starter | d3cf69f4742923737e826261f5e737f00d1c6270 | [
"MIT"
] | 1 | 2020-07-28T13:28:42.000Z | 2020-07-28T13:28:42.000Z | app/helpers/__init__.py | jaywonder20/Flask_Api_Starter | d3cf69f4742923737e826261f5e737f00d1c6270 | [
"MIT"
] | null | null | null | app/helpers/__init__.py | jaywonder20/Flask_Api_Starter | d3cf69f4742923737e826261f5e737f00d1c6270 | [
"MIT"
] | null | null | null | from flask_restful import reqparse
def send_api_response(response_code, response_message, http_status, response_data={}):
if http_status not in [200, 201]:
return {'responseCode': response_code,
'responseMessage': response_message
}, int(http_status), \
{"Acc... | 33.142857 | 86 | 0.616379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 171 | 0.24569 |
9dc09ed0aa1f145f5e2a90e86cf3072696bbd4e9 | 3,435 | py | Python | tests/fakedb.py | justinfay/dbkit | 2aef6376a60965d7820c91692046f4bcf7d43640 | [
"MIT"
] | 4 | 2016-02-08T05:43:39.000Z | 2020-08-25T21:37:55.000Z | tests/fakedb.py | justinfay/dbkit | 2aef6376a60965d7820c91692046f4bcf7d43640 | [
"MIT"
] | 8 | 2015-04-24T13:39:42.000Z | 2016-04-07T01:58:53.000Z | tests/fakedb.py | justinfay/dbkit | 2aef6376a60965d7820c91692046f4bcf7d43640 | [
"MIT"
] | null | null | null | """
A fake DB-API 2 driver.
"""
# DB names used to trigger certain behaviours.
INVALID_DB = 'invalid-db'
INVALID_CURSOR = 'invalid-cursor'
HAPPY_OUT = 'happy-out'
apilevel = '2.0'
threadsafety = 2
paramstyle = 'qmark'
def connect(database):
return Connection(database)
class Connection(object):
"""
A f... | 22.598684 | 71 | 0.604076 | 3,122 | 0.908879 | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 0.11936 |
9dc60e93e26c2a9f12204a366a70cced0bf9b339 | 4,081 | py | Python | chapter_3_featurization/text_features.py | fancyerii/voicebook | def82da8577086d0361643a05fec2463006533a9 | [
"Apache-2.0"
] | 1 | 2020-03-05T01:19:17.000Z | 2020-03-05T01:19:17.000Z | chapter_3_featurization/text_features.py | fancyerii/voicebook | def82da8577086d0361643a05fec2463006533a9 | [
"Apache-2.0"
] | null | null | null | chapter_3_featurization/text_features.py | fancyerii/voicebook | def82da8577086d0361643a05fec2463006533a9 | [
"Apache-2.0"
] | null | null | null | '''
================================================
## VOICEBOOK REPOSITORY ##
================================================
repository name: voicebook
repository version: 1.0
repository link: https://github.com/jim-schwoebel/voicebook
author: Jim Schwoebel
author contact: js@neur... | 34.584746 | 121 | 0.639304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,880 | 0.705709 |
9dc760639ffd67ca1391d622bcca50ed7b1b5700 | 5,178 | py | Python | neurotin/logs/scores.py | mscheltienne/neurotin-analysis | 841b7d86c0c990169cceb02b40d9eb6bd0d07612 | [
"MIT"
] | null | null | null | neurotin/logs/scores.py | mscheltienne/neurotin-analysis | 841b7d86c0c990169cceb02b40d9eb6bd0d07612 | [
"MIT"
] | null | null | null | neurotin/logs/scores.py | mscheltienne/neurotin-analysis | 841b7d86c0c990169cceb02b40d9eb6bd0d07612 | [
"MIT"
] | null | null | null | from typing import List, Tuple, Union
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
from ..utils._checks import (
_check_participant,
_check_participants,
_check_type,
)
from ..utils._docs import fill_doc
@fill_doc
def boxplot_scores_evolution(
csv,
participant: ... | 28.295082 | 79 | 0.609888 | 0 | 0 | 0 | 0 | 4,457 | 0.860757 | 0 | 0 | 2,380 | 0.459637 |
9dcad228e81ec6b0f9a3bb86c1710900d1f1972c | 1,755 | py | Python | 3. Python Advanced (September 2021)/3.2 Python OOP (October 2021)/24. Exam Preparation/22.08.2020/project/everland.py | kzborisov/SoftUni | ccb2b8850adc79bfb2652a45124c3ff11183412e | [
"MIT"
] | 1 | 2021-02-07T07:51:12.000Z | 2021-02-07T07:51:12.000Z | 3. Python Advanced (September 2021)/3.2 Python OOP (October 2021)/24. Exam Preparation/22.08.2020/project/everland.py | kzborisov/softuni | 9c5b45c74fa7d9748e9b3ea65a5ae4e15c142751 | [
"MIT"
] | null | null | null | 3. Python Advanced (September 2021)/3.2 Python OOP (October 2021)/24. Exam Preparation/22.08.2020/project/everland.py | kzborisov/softuni | 9c5b45c74fa7d9748e9b3ea65a5ae4e15c142751 | [
"MIT"
] | null | null | null | class Everland:
def __init__(self):
self.rooms = []
def add_room(self, room):
self.rooms.append(room)
def get_monthly_consumptions(self):
total_consumption = 0
for room in self.rooms:
total_consumption += room.expenses + room.room_cost
return f"Monthly c... | 39 | 100 | 0.520228 | 1,754 | 0.99943 | 0 | 0 | 0 | 0 | 0 | 0 | 513 | 0.292308 |
9dcae389894300bd7f91c57ac11fc79ac0e2fd30 | 14,770 | py | Python | backend/core/migrations/0001_initial.py | mashuq/academia | 571b3db58de4a70210ebd9d92c0f152016aec861 | [
"Unlicense"
] | null | null | null | backend/core/migrations/0001_initial.py | mashuq/academia | 571b3db58de4a70210ebd9d92c0f152016aec861 | [
"Unlicense"
] | null | null | null | backend/core/migrations/0001_initial.py | mashuq/academia | 571b3db58de4a70210ebd9d92c0f152016aec861 | [
"Unlicense"
] | null | null | null | # Generated by Django 3.1.6 on 2021-02-25 05:46
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('cont... | 47.491961 | 207 | 0.561882 | 14,611 | 0.989235 | 0 | 0 | 0 | 0 | 0 | 0 | 2,499 | 0.169194 |
9dcd01c7a81f81cad912ec87f997c4e5ba58f9bb | 2,448 | py | Python | minifold/log.py | nokia/minifold | 3687d32ab6119dc8293ae370c8c4ba9bbbb47deb | [
"BSD-3-Clause"
] | 15 | 2018-09-03T09:40:59.000Z | 2021-07-16T16:14:46.000Z | src/log.py | Infinite-Blue-1042/minifold | cd0aa9207f9e1819ed2ecbb24373cdcfe27abd16 | [
"BSD-3-Clause"
] | null | null | null | src/log.py | Infinite-Blue-1042/minifold | cd0aa9207f9e1819ed2ecbb24373cdcfe27abd16 | [
"BSD-3-Clause"
] | 8 | 2019-01-25T07:18:59.000Z | 2021-04-07T17:54:54.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# This file is part of the minifold project.
# https://github.com/nokia/minifold
__author__ = "Marc-Olivier Buob"
__maintainer__ = "Marc-Olivier Buob"
__email__ = "[email protected]"
__copyright__ = "Copyright (C) 2018, Nokia"
__license__ ... | 24 | 114 | 0.562908 | 1,818 | 0.742647 | 0 | 0 | 1,319 | 0.538807 | 0 | 0 | 503 | 0.205474 |
9dcdcb702db69a33b8fb22a29cccef585723a801 | 4,515 | py | Python | cardgame_channels_app/migrations/0001_initial.py | cyface/cardgame_channels | 22f2bef190ee20999eae27e6aa9ce138a78ae47f | [
"MIT"
] | null | null | null | cardgame_channels_app/migrations/0001_initial.py | cyface/cardgame_channels | 22f2bef190ee20999eae27e6aa9ce138a78ae47f | [
"MIT"
] | null | null | null | cardgame_channels_app/migrations/0001_initial.py | cyface/cardgame_channels | 22f2bef190ee20999eae27e6aa9ce138a78ae47f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-11-18 11:31
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Crea... | 43.834951 | 169 | 0.575858 | 4,324 | 0.957697 | 0 | 0 | 0 | 0 | 0 | 0 | 1,066 | 0.236102 |
9dce2d32fa35d3b007796ab403b5019d5baeeffb | 2,820 | py | Python | data_collection/omscs_website/omscs_cleaner.py | yashchitalia/jack-holmes | 1ce3c65c1477390fb15d99a14f608f62745548b1 | [
"Apache-2.0"
] | 1 | 2017-03-30T02:25:18.000Z | 2017-03-30T02:25:18.000Z | data_collection/omscs_website/omscs_cleaner.py | yashchitalia/jack-holmes | 1ce3c65c1477390fb15d99a14f608f62745548b1 | [
"Apache-2.0"
] | null | null | null | data_collection/omscs_website/omscs_cleaner.py | yashchitalia/jack-holmes | 1ce3c65c1477390fb15d99a14f608f62745548b1 | [
"Apache-2.0"
] | null | null | null | from bs4 import BeautifulSoup
import re
import urllib
import pickle as pkl
def cleanhtml(raw_html):
cleanr = re.compile('<.*?>')
cleantext = re.sub(cleanr, '', raw_html)
cleanr_still = re.compile('\\xa0')
cleanertext = re.sub(cleanr_still, '', cleantext)
cleanr_even = re.compile('\\u2019s')
cle... | 40.285714 | 91 | 0.575887 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 0.129433 |
9dce34cc1f5685467f230a6aaddab0a3ca10dd09 | 1,116 | py | Python | testinfra/test_hypervisor-runc.py | devbox-tools/sfc | 0a5a9c3db165b35506f84d4c2dbfc1dace3fcea1 | [
"Apache-2.0"
] | 1 | 2019-02-26T13:25:17.000Z | 2019-02-26T13:25:17.000Z | testinfra/test_hypervisor-runc.py | devbox-tools/sfc | 0a5a9c3db165b35506f84d4c2dbfc1dace3fcea1 | [
"Apache-2.0"
] | null | null | null | testinfra/test_hypervisor-runc.py | devbox-tools/sfc | 0a5a9c3db165b35506f84d4c2dbfc1dace3fcea1 | [
"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... | 39.857143 | 75 | 0.713262 | 542 | 0.485663 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.649642 |
9dcee3a8fc687322519c4ee6dd19ea787ec8d273 | 280 | py | Python | Frameworks/urls.py | MiniJez/TP_Django | e7540f3178d44efeab69a8c8bea14a70fdaa9b4e | [
"MIT"
] | null | null | null | Frameworks/urls.py | MiniJez/TP_Django | e7540f3178d44efeab69a8c8bea14a70fdaa9b4e | [
"MIT"
] | null | null | null | Frameworks/urls.py | MiniJez/TP_Django | e7540f3178d44efeab69a8c8bea14a70fdaa9b4e | [
"MIT"
] | null | null | null | from django.urls import path
from .views import index, create, delete, update
urlpatterns = [
path('', index, name='index'),
path('create/', create, name='create'),
path('delete/<int:pk>', delete, name='delete'),
path('update/<int:pk>', update, name='update'),
] | 28 | 51 | 0.639286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.271429 |
9dd02fb84f2d21edf2c3f482fb528f7ff864783d | 1,831 | py | Python | scrape.py | valvoda/holjplus | 6a214911b477adf1253b43e46f7f5afc3076a86a | [
"MIT"
] | null | null | null | scrape.py | valvoda/holjplus | 6a214911b477adf1253b43e46f7f5afc3076a86a | [
"MIT"
] | null | null | null | scrape.py | valvoda/holjplus | 6a214911b477adf1253b43e46f7f5afc3076a86a | [
"MIT"
] | null | null | null | """
Adapted from https://realpython.com/python-web-scraping-practical-introduction/
for the purpose of scraping https://publications.parliament.uk/pa/ld/ldjudgmt.HTML
to create an expanded HOLJ+ corpus
"""
import requests
from requests import get
from requests.exceptions import RequestException
from contextlib import ... | 30.516667 | 84 | 0.616057 | 1,158 | 0.632441 | 0 | 0 | 0 | 0 | 0 | 0 | 860 | 0.469689 |
9dd06c5c9ed12f49b25dc9756a8a419ae3530b18 | 1,881 | py | Python | emotional_ai/model.py | fuluny/Emotional-AI | 1372933ec410f72cd500513ea560f43167382e34 | [
"MIT"
] | null | null | null | emotional_ai/model.py | fuluny/Emotional-AI | 1372933ec410f72cd500513ea560f43167382e34 | [
"MIT"
] | null | null | null | emotional_ai/model.py | fuluny/Emotional-AI | 1372933ec410f72cd500513ea560f43167382e34 | [
"MIT"
] | null | null | null | # #!/usr/bin/python
import os
import numpy as np
import pandas as pd
from keras.models import load_model
from keras.models import Sequential
from keras.utils import np_utils
from keras.layers.core import Dense, Activation, Dropout
from keras import optimizers
from matplotlib import pyplot as plt
print('Loading data... | 25.767123 | 81 | 0.747475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 499 | 0.265284 |
9dd27bec72ba1ef4b5afcb916eaaa9109718bd5c | 2,487 | py | Python | detect_port_services.py | amir78729/penetration-test-project | c85376303ce0451e2e3a3150617484d5e6837168 | [
"MIT"
] | 1 | 2022-02-04T19:29:18.000Z | 2022-02-04T19:29:18.000Z | detect_port_services.py | amir78729/penetration-test-project | c85376303ce0451e2e3a3150617484d5e6837168 | [
"MIT"
] | null | null | null | detect_port_services.py | amir78729/penetration-test-project | c85376303ce0451e2e3a3150617484d5e6837168 | [
"MIT"
] | null | null | null | from socket import socket, gaierror, getservbyport, AF_INET, SOCK_STREAM, setdefaulttimeout
from tqdm import tqdm
from datetime import datetime
def detect_port_services(ip, range_start, range_end):
port_services = {}
port_detecting_progress = tqdm(range(range_start, range_end + 1))
try:
for port i... | 38.859375 | 115 | 0.556494 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 508 | 0.20418 |
9dd2a344fe4c04f0564d9da26c93b7f70200954e | 14,829 | py | Python | zvdata/apps/data_app.py | freedom6xiaobai/zvt | f4ba510a30f1014cc0e48b85370b0d3936bd851a | [
"MIT"
] | 1 | 2019-10-28T08:03:26.000Z | 2019-10-28T08:03:26.000Z | zvdata/apps/data_app.py | freedom6xiaobai/zvt | f4ba510a30f1014cc0e48b85370b0d3936bd851a | [
"MIT"
] | null | null | null | zvdata/apps/data_app.py | freedom6xiaobai/zvt | f4ba510a30f1014cc0e48b85370b0d3936bd851a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
from collections import OrderedDict
from typing import List
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import pandas as pd
from dash import dash
from dash.dependencies import Input, Output, State
from zvdata import IntervalLevel
from zv... | 36.796526 | 120 | 0.52458 | 0 | 0 | 0 | 0 | 8,032 | 0.541641 | 0 | 0 | 3,243 | 0.218693 |
9dd308c092689ec19be480b950fd1043adb5873d | 1,139 | py | Python | api-gateway/fcgi/handwritten/python/fcgi_codec.py | intel/cloud-client-ai-service-framework | 01676b08878f7a58201854aedb181134eafef7a2 | [
"Apache-2.0"
] | 3 | 2022-03-25T17:28:53.000Z | 2022-03-29T03:30:25.000Z | api-gateway/fcgi/handwritten/python/fcgi_codec.py | intel/cloud-client-ai-service-framework | 01676b08878f7a58201854aedb181134eafef7a2 | [
"Apache-2.0"
] | null | null | null | api-gateway/fcgi/handwritten/python/fcgi_codec.py | intel/cloud-client-ai-service-framework | 01676b08878f7a58201854aedb181134eafef7a2 | [
"Apache-2.0"
] | 1 | 2022-03-27T12:44:19.000Z | 2022-03-27T12:44:19.000Z | import numpy as np
class CTCCodec(object):
""" Convert index to label """
def __init__(self, char_label, top_k):
# char_label : all the characters.
self.top_k = top_k
self.index = {}
list_character = list(char_label)
for i, char in enumerate(list_character):
... | 30.783784 | 127 | 0.600527 | 1,117 | 0.980685 | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 0.153644 |
9dd3506fa61a6efdbedcfd729d5128ff929686bf | 4,333 | py | Python | src/hmmmr/non_batched_functions.py | carojasq/HMMMR | f94846d8f02fe8993a0e5fb55e936dd1c1596187 | [
"MIT"
] | null | null | null | src/hmmmr/non_batched_functions.py | carojasq/HMMMR | f94846d8f02fe8993a0e5fb55e936dd1c1596187 | [
"MIT"
] | 1 | 2019-11-01T08:32:04.000Z | 2019-11-01T08:32:04.000Z | src/hmmmr/non_batched_functions.py | carojasq/HMMMR | f94846d8f02fe8993a0e5fb55e936dd1c1596187 | [
"MIT"
] | 1 | 2019-04-05T00:06:31.000Z | 2019-04-05T00:06:31.000Z | from common_libs import *
from cublas_functions import *
linalg.init()
def cublas_calculate_transpose_non_batched(h, a_gpu):
cublas_transpose = get_single_transpose_function(a_gpu)
m, k = a_gpu.shape
at_gpu = gpuarray.empty((k, m), a_gpu.dtype)
k, n = at_gpu.shape
# Calculate transpose
transa =... | 41.663462 | 120 | 0.686591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 728 | 0.168013 |
9dd7404e8264756d1a9d92df88241f2bdb03e559 | 793 | py | Python | tools/run/mrcnnalt.py | MartinPlantinga/TomatoNet | 52f3f993665865d1e74b24c43bf4a722c470eac1 | [
"BSD-2-Clause"
] | 1 | 2022-03-13T23:52:22.000Z | 2022-03-13T23:52:22.000Z | tools/run/mrcnnalt.py | MartinPlantinga/TomatoNet | 52f3f993665865d1e74b24c43bf4a722c470eac1 | [
"BSD-2-Clause"
] | null | null | null | tools/run/mrcnnalt.py | MartinPlantinga/TomatoNet | 52f3f993665865d1e74b24c43bf4a722c470eac1 | [
"BSD-2-Clause"
] | null | null | null | import os
from time import localtime, strftime
pwd = os.curdir
root_dir = pwd + './../'
weights_path = '{}data/imagenet_models/VGG16.v2.caffemodel'.format(root_dir)
cfg_path = '{}experiments/cfgs/mask_rcnn_alt_opt.yml'.format(root_dir)
log_file="{}experiments/logs/mask_rcnn_alt_opt_{}".format(root_dir, strfti... | 41.736842 | 158 | 0.696091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 415 | 0.523329 |
9dd7a2e49e2ed72a4a6612efc5a036e4272aa367 | 1,325 | py | Python | toontown/ai/DistributedTrashcanZeroMgr.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 99 | 2019-11-02T22:25:00.000Z | 2022-02-03T03:48:00.000Z | toontown/ai/DistributedTrashcanZeroMgr.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 42 | 2019-11-03T05:31:08.000Z | 2022-03-16T22:50:32.000Z | toontown/ai/DistributedTrashcanZeroMgr.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 57 | 2019-11-03T07:47:37.000Z | 2022-03-22T00:41:49.000Z | from direct.directnotify import DirectNotifyGlobal
from direct.distributed import DistributedObject
from toontown.ai import DistributedPhaseEventMgr
class DistributedTrashcanZeroMgr(DistributedPhaseEventMgr.DistributedPhaseEventMgr):
neverDisable = 1
notify = DirectNotifyGlobal.directNotify.newCategory('Distri... | 42.741935 | 87 | 0.768302 | 1,174 | 0.886038 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.12 |
9dd862d583434b6ed73a9e6519551c5f6c54561e | 1,575 | py | Python | examples/run_fieldtrip_IF.py | annapasca/ephypype | 6dbacdd6913234a28b690b401862ff062accecc7 | [
"BSD-3-Clause"
] | 18 | 2018-04-18T12:14:52.000Z | 2022-02-25T19:31:44.000Z | examples/run_fieldtrip_IF.py | annapasca/ephypype | 6dbacdd6913234a28b690b401862ff062accecc7 | [
"BSD-3-Clause"
] | 106 | 2017-12-09T13:34:30.000Z | 2022-03-12T01:02:17.000Z | examples/run_fieldtrip_IF.py | annapasca/ephypype | 6dbacdd6913234a28b690b401862ff062accecc7 | [
"BSD-3-Clause"
] | 13 | 2017-05-28T20:38:56.000Z | 2022-03-06T15:58:02.000Z | """
.. _ft_seeg_example:
=========================================
Apply bipolar montage to depth electrodes
=========================================
This scripts shows a very simple example on how to create an Interface wrapping
a desired function of a Matlab toolbox (|FieldTrip|).
.. |FieldTrip| raw:: html
<a... | 32.8125 | 95 | 0.665397 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 987 | 0.626667 |
9dd8b07faafc812e62e163fe5ae0d1616164fd3e | 2,224 | py | Python | tree.py | korbi98/TicTacToeGo_Zero | b8ea4562f3ddf914a53fc380f2266f13ab887e04 | [
"MIT"
] | null | null | null | tree.py | korbi98/TicTacToeGo_Zero | b8ea4562f3ddf914a53fc380f2266f13ab887e04 | [
"MIT"
] | null | null | null | tree.py | korbi98/TicTacToeGo_Zero | b8ea4562f3ddf914a53fc380f2266f13ab887e04 | [
"MIT"
] | 1 | 2021-12-20T12:03:49.000Z | 2021-12-20T12:03:49.000Z | # Simple tree structure
import numpy as np
import math
class Node:
'''
Class defining a node for the game tree.
Nodes store their position on the board,
their reward, their visits and their children.
'''
def __init__(self, parent, boardposition, current_player):
self.parent = parent
... | 35.870968 | 87 | 0.616007 | 2,167 | 0.974371 | 0 | 0 | 0 | 0 | 0 | 0 | 658 | 0.295863 |
9dd8bbfb2717a06b4b3ec45eb064716d069fb7b0 | 269 | py | Python | vibrant_frequencies/cli.py | garstka/vibrant-frequencies | e237bf97089c87ca3e9335ba0d2abd09756b98fc | [
"MIT"
] | 2 | 2019-01-31T15:13:37.000Z | 2020-11-19T03:24:12.000Z | vibrant_frequencies/cli.py | garstka/vibrant-frequencies | e237bf97089c87ca3e9335ba0d2abd09756b98fc | [
"MIT"
] | null | null | null | vibrant_frequencies/cli.py | garstka/vibrant-frequencies | e237bf97089c87ca3e9335ba0d2abd09756b98fc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Console script for vibrant_frequencies."""
import logging
import click
from .prototype import visualize
@click.command()
def main():
logging.getLogger('').setLevel(logging.WARN)
visualize()
if __name__ == "__main__":
main()
| 14.944444 | 48 | 0.67658 | 0 | 0 | 0 | 0 | 93 | 0.345725 | 0 | 0 | 80 | 0.297398 |
9dda3faed30d9ee945694fcad8f057ec177bc507 | 6,568 | py | Python | rak_net/protocol/handler.py | L0RD-ZER0/aio-rak-net | 0ec0b6ac4daf6a4b146ac94ac2d0313c13975363 | [
"MIT"
] | 1 | 2021-12-02T04:37:08.000Z | 2021-12-02T04:37:08.000Z | rak_net/protocol/handler.py | L0RD-ZER0/aio-rak-net | 0ec0b6ac4daf6a4b146ac94ac2d0313c13975363 | [
"MIT"
] | null | null | null | rak_net/protocol/handler.py | L0RD-ZER0/aio-rak-net | 0ec0b6ac4daf6a4b146ac94ac2d0313c13975363 | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import TYPE_CHECKING
from .packet import (
ConnectionRequest,
ConnectionRequestAccepted,
NewIncomingConnection,
OfflinePing,
OfflinePong,
OnlinePing,
OnlinePong,
OpenConnectionRequest1,
OpenConnectionReply1,
OpenConnectionRequest2,
... | 40.294479 | 134 | 0.676309 | 6,037 | 0.919153 | 0 | 0 | 0 | 0 | 5,754 | 0.876066 | 2,001 | 0.304659 |