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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
aebef7f18389f1bc898095c22cef8105f51f76c7 | 61,931 | py | Python | examples/jirasearch/handle.py | Bingnum1/luceneserver | 3cd784352e9fe0bbb9cf236a200ed20061c3314a | [
"Apache-2.0"
] | 1 | 2021-01-23T09:06:51.000Z | 2021-01-23T09:06:51.000Z | examples/jirasearch/handle.py | Bingnum1/luceneserver | 3cd784352e9fe0bbb9cf236a200ed20061c3314a | [
"Apache-2.0"
] | null | null | null | examples/jirasearch/handle.py | Bingnum1/luceneserver | 3cd784352e9fe0bbb9cf236a200ed20061c3314a | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | 30.658911 | 217 | 0.540472 | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | 0 | 0 | 0 | 10,691 | 0 | 45,803 | 0 | -96 | 1,316 |
6fb3319ecbd299b06e929aebe71749f66112ab97 | 3,138 | py | Python | case_case.py | athityakumar/harvey | 3102656e4adeb939217e9eb5b85e002a2fc84136 | [
"MIT"
] | 2 | 2019-02-08T22:24:41.000Z | 2022-02-16T11:59:52.000Z | case_case.py | athityakumar/harvey | 3102656e4adeb939217e9eb5b85e002a2fc84136 | [
"MIT"
] | 11 | 2019-02-05T11:53:05.000Z | 2019-03-05T15:57:19.000Z | case_case.py | athityakumar/harvey | 3102656e4adeb939217e9eb5b85e002a2fc84136 | [
"MIT"
] | 3 | 2019-03-02T15:09:35.000Z | 2022-01-25T07:01:03.000Z | import networkx as nx
G = init_graph("{}/all_citations.txt".format(DATADIR)).fetch_subgraph(
query_type='case')
print(len(G.nodes()))
print(len(G.edges()))
print(G.in_degree_distribution())
print(G.out_degree_distribution())
print('Average clustering coeff', nx.average_clustering(G))
print('Average in_degree'... | 41.84 | 174 | 0.756533 | import networkx as nx
from models.case import Case
from models.legal_knowledge_graph import LegalKnowledgeGraph
from helpers import *
from custom import *
G = init_graph("{}/all_citations.txt".format(DATADIR)).fetch_subgraph(
query_type='case')
print(len(G.nodes()))
print(len(G.edges()))
print(G.in_degree_di... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 89 |
6a803cec7a3a49196e6e4583c184c940972f3ced | 1,177 | py | Python | nlpblock/model/RNN_Attention.py | graykode/nlpblock | d7cd9e6d7a0ee401b8fecdbbf3a0ac60bdb3c0d7 | [
"MIT"
] | 3 | 2019-02-27T13:41:26.000Z | 2021-05-13T07:02:39.000Z | nlpblock/model/RNN_Attention.py | graykode/nlpblock | d7cd9e6d7a0ee401b8fecdbbf3a0ac60bdb3c0d7 | [
"MIT"
] | null | null | null | nlpblock/model/RNN_Attention.py | graykode/nlpblock | d7cd9e6d7a0ee401b8fecdbbf3a0ac60bdb3c0d7 | [
"MIT"
] | 3 | 2019-03-02T02:19:46.000Z | 2021-10-03T18:46:52.000Z | import torch.nn as nn
"""
Example to run
model = RNN_Attention(emb_dim=50,
n_class=2, n_hidden=128, n_layers=1, bidirectional=False, linearTransform=True)
output, attention = model(
torch.rand([3, 5, 50]) # [batch, seq_len, emb_dim]
)
print(output.shape, attention.shape)
"""
| 34.617647 | 121 | 0.665251 | import torch
import torch.nn as nn
import nlpblock as nb
class RNN_Attention(nn.Module):
def __init__(self, emb_dim,
n_class, n_hidden, n_layers=1, bidirectional=False, linearTransform=True):
super(RNN_Attention, self).__init__()
self.n_hidden = n_hidden
self.num_direction... | 0 | 0 | 0 | 812 | 0 | 0 | 0 | -9 | 67 |
429702683092087dda7bd45ce349996c664998f9 | 2,387 | py | Python | backend/apps/tophatter/router.py | ukibbb/goodmood-inc | 006b3bb91125df15480b08832403ee22b10537ac | [
"MIT"
] | null | null | null | backend/apps/tophatter/router.py | ukibbb/goodmood-inc | 006b3bb91125df15480b08832403ee22b10537ac | [
"MIT"
] | null | null | null | backend/apps/tophatter/router.py | ukibbb/goodmood-inc | 006b3bb91125df15480b08832403ee22b10537ac | [
"MIT"
] | null | null | null | from fastapi import APIRouter
from services.database.user_database import UserDatabase
services = UserDatabase()
tophatter = APIRouter(prefix="/tophatter")
| 29.109756 | 79 | 0.697528 | import os
from celery.result import AsyncResult
from fastapi import APIRouter, Depends, Request
from fastapi.responses import FileResponse, JSONResponse
from services.calculators import TophatterCalculator
from services.database.user_database import UserDatabase
from services.mapper import TophatterMapper
from service... | 0 | 1,781 | 0 | 0 | 0 | 0 | 0 | 152 | 292 |
464015c029a4482be5a93282e61c8b2308f6ae53 | 1,506 | py | Python | Desafio22.py | rsmelocunha/Python-projects | 1740d1cbafb0aebfffeb0bfdb4ccccf0dbd14093 | [
"MIT"
] | null | null | null | Desafio22.py | rsmelocunha/Python-projects | 1740d1cbafb0aebfffeb0bfdb4ccccf0dbd14093 | [
"MIT"
] | null | null | null | Desafio22.py | rsmelocunha/Python-projects | 1740d1cbafb0aebfffeb0bfdb4ccccf0dbd14093 | [
"MIT"
] | null | null | null | nome = input('Digite o nome completo da pessoa: ').strip() # usa-se o mtodo strip para retirar os espaos vazios antes e depois da frase
print('O nome completo da pessoa em maisculo : ', nome.upper()) # usa o mtodo 'upper' para transformar toda a frase em maiscula
print('O nome completo da pessoa em minsculo : ', nome.... | 115.846154 | 137 | 0.500664 | nome = input('Digite o nome completo da pessoa: ').strip() # usa-se o método strip para retirar os espaços vazios antes e depois da frase
print('O nome completo da pessoa em maiúsculo é: ', nome.upper()) # usa o método 'upper' para transformar toda a frase em maiúscula
print('O nome completo da pessoa em minúsculo é: ... | 44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0009e946b7b5b9f3e765ad2fd6103cf20ad6f912 | 6,645 | py | Python | app/intro_py/intro/cli.py | thebridge0491/intro_py | c8ef32d8df10fa07a3c7b191474074b2dfd640c3 | [
"CECILL-B"
] | null | null | null | app/intro_py/intro/cli.py | thebridge0491/intro_py | c8ef32d8df10fa07a3c7b191474074b2dfd640c3 | [
"CECILL-B"
] | null | null | null | app/intro_py/intro/cli.py | thebridge0491/intro_py | c8ef32d8df10fa07a3c7b191474074b2dfd640c3 | [
"CECILL-B"
] | null | null | null | # -*- coding: utf-8 -*-
'''Command line interface module for intro_py-intro.
'''
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import os, sys
import logging
from future.builtins import (dict)
from intro_py import util
__all__ = ['main']
# -- run w/out compile --
# python... | 32.414634 | 80 | 0.61836 | # -*- coding: utf-8 -*-
'''Command line interface module for intro_py-intro.
'''
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import os, sys, argparse, json
import logging, inspect
from future.builtins import (ascii, filter, hex, map, oct, zip, str, open, dict)
from intro... | 0 | 0 | 0 | 0 | 0 | 3,774 | 0 | 129 | 113 |
88e924dee2c792d20797021950f2e3dc5810c1c7 | 1,586 | py | Python | src/validation/VersionDropout.py | lyonva/Nue | 90680de00b0c76f6bfdbed71b785671e7c3a3f54 | [
"Apache-2.0"
] | null | null | null | src/validation/VersionDropout.py | lyonva/Nue | 90680de00b0c76f6bfdbed71b785671e7c3a3f54 | [
"Apache-2.0"
] | null | null | null | src/validation/VersionDropout.py | lyonva/Nue | 90680de00b0c76f6bfdbed71b785671e7c3a3f54 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
if __name__ == "__main__":
versions = np.reshape(np.array( [1,1,1,2,2,2,2,3,3,3] ), (10,1))
data = np.reshape(np.zeros(100), (10, 10))
X = pd.DataFrame( np.append( versions, data, axis = 1 ), columns = ["version"] + [i for i in range(10)] )
y = pd.DataFrame(np.z... | 36.883721 | 109 | 0.592055 | from sklearn.model_selection import BaseCrossValidator
import numpy as np
import pandas as pd
class VersionDropout(BaseCrossValidator):
def __init__(self, n_repeats = 10, dropout = 0.3):
self.n_repeats = n_repeats
self.dropout = dropout
# We dont implement this one
def _iter_test_... | 0 | 0 | 0 | 998 | 0 | 0 | 0 | 33 | 45 |
60f271887d5583280854a15c63199927894da99a | 4,371 | py | Python | lib/Phase3/alu_P3.py | prafgup/risc_v_assembler | ce2bea5f8e8b4f2ebb2f88aff1f0b2de5dc176b3 | [
"MIT"
] | 2 | 2020-07-23T16:57:04.000Z | 2020-07-27T08:59:25.000Z | lib/Phase3/alu_P3.py | prafgup/risc_v_assembler | ce2bea5f8e8b4f2ebb2f88aff1f0b2de5dc176b3 | [
"MIT"
] | null | null | null | lib/Phase3/alu_P3.py | prafgup/risc_v_assembler | ce2bea5f8e8b4f2ebb2f88aff1f0b2de5dc176b3 | [
"MIT"
] | null | null | null |
# format, name, destination register, source 1, data of source 1, IB in which data expected, source 2, data of source 2, IB in which data expected, immediate data, T_NT,stall
#A=[format,name,rd,rs1,rs2,imm]
#A=[format,name,rd,rs1,rs2,imm]
# format, name, destination register, source 1, data of source 1, IB in whic... | 16.683206 | 174 | 0.512011 | def DTB(n):
b=bin(n).replace("0b","")
k=32-len(b)
c="0"*k
b=c+b
return b
def BTD(n):
return int(n,2)
# format, name, destination register, source 1, data of source 1, IB in which data expected, source 2, data of source 2, IB in which data expected, immediate data, T_NT,stall
#A=[format,name,rd,rs1,rs2,imm... | 0 | 0 | 0 | 0 | 0 | 3,211 | 0 | 0 | 210 |
467487ac228f1ed29b28cfee4341fb034f701791 | 3,348 | py | Python | backend/forum/views.py | lautarianoo/lautacademy | beec082bdffe8c773fcec51974a687aced278a76 | [
"BSD-3-Clause"
] | 2 | 2021-11-29T15:34:24.000Z | 2021-12-02T14:47:20.000Z | backend/forum/views.py | lautarianoo/lautacademy | beec082bdffe8c773fcec51974a687aced278a76 | [
"BSD-3-Clause"
] | null | null | null | backend/forum/views.py | lautarianoo/lautacademy | beec082bdffe8c773fcec51974a687aced278a76 | [
"BSD-3-Clause"
] | null | null | null |
# class MessageCreate(LoginRequiredMixin, CreateView):
# """ """
# model = Message
# form_class = MessageForm
# template_name = 'forum/topic-detail.html'
#
# def form_valid(self, form):
# form.instance.user = self.request.user
# form.instance.topic_id = self.kwargs.get("pk")
... | 31.885714 | 103 | 0.669952 | from datetime import datetime
from django.shortcuts import redirect
from django.urls import reverse_lazy
from django.views.generic import ListView, View
from django.views.generic.edit import CreateView, UpdateView
from django.contrib.auth.mixins import LoginRequiredMixin
from backend.forum.models import Category, Sec... | 314 | 0 | 0 | 2,242 | 0 | 0 | 0 | 224 | 340 |
30c57ec5cfdd4cc03fe09d8e584165c9e0546fd3 | 195 | py | Python | Desafio Python/Aula 23 des114.py | ayresmajor/Curso-python | 006229cec38ea365bf43b19e3ce93fbd32e1dca6 | [
"MIT"
] | null | null | null | Desafio Python/Aula 23 des114.py | ayresmajor/Curso-python | 006229cec38ea365bf43b19e3ce93fbd32e1dca6 | [
"MIT"
] | null | null | null | Desafio Python/Aula 23 des114.py | ayresmajor/Curso-python | 006229cec38ea365bf43b19e3ce93fbd32e1dca6 | [
"MIT"
] | null | null | null | import urllib
import urllib.request
try:
site = urllib.request.urlopen('http://pudim.com.br/')
except urllib.error.URLError:
print('O site ardeu')
else:
print('Pode ir t tudo nice')
| 21.666667 | 57 | 0.702564 | import urllib
import urllib.request
try:
site = urllib.request.urlopen('http://pudim.com.br/')
except urllib.error.URLError:
print('O site ardeu')
else:
print('Pode ir tá tudo nice')
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7b69b51615be9dc30924134e49ad37d51de6c157 | 35,658 | py | Python | craton/api/v1/schemas.py | sigmavirus24/craton | 911577978d9c67ed735fc87c4e36e9ddb01a78b3 | [
"Apache-2.0"
] | null | null | null | craton/api/v1/schemas.py | sigmavirus24/craton | 911577978d9c67ed735fc87c4e36e9ddb01a78b3 | [
"Apache-2.0"
] | null | null | null | craton/api/v1/schemas.py | sigmavirus24/craton | 911577978d9c67ed735fc87c4e36e9ddb01a78b3 | [
"Apache-2.0"
] | null | null | null |
DefinitionsHost = {'discriminator': 'name',
'required': ['name',
'region_id',
'ip_address',
'device_type'],
'type': 'object',
'properties': {
... | 43.221818 | 79 | 0.391245 | import six
DefinitionsHost = {'discriminator': 'name',
'required': ['name',
'region_id',
'ip_address',
'device_type'],
'type': 'object',
'properties': {
... | 0 | 40 | 0 | 911 | 0 | 2,784 | 0 | -11 | 91 |
6e01753da913bb1f17997203ba999ed0c9230a2f | 8,602 | py | Python | modules/dialogPassword_ui.py | bcavlin/onering | becd3969e4e2ae4f3161221ace6d8912aad1c9ca | [
"Apache-2.0"
] | 1 | 2017-10-14T01:47:30.000Z | 2017-10-14T01:47:30.000Z | modules/dialogPassword_ui.py | bcavlin/onering | becd3969e4e2ae4f3161221ace6d8912aad1c9ca | [
"Apache-2.0"
] | null | null | null | modules/dialogPassword_ui.py | bcavlin/onering | becd3969e4e2ae4f3161221ace6d8912aad1c9ca | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file './modules/dialogPassword.ui'
#
# Created by: PyQt4 UI code generator 4.12.1
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
try:
... | 63.25 | 112 | 0.76273 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file './modules/dialogPassword.ui'
#
# Created by: PyQt4 UI code generator 4.12.1
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
de... | 0 | 0 | 0 | 7,910 | 0 | 200 | 0 | 0 | 101 |
d483b4213dcecfc34458e8d5770b083343438c72 | 88 | py | Python | ontology/logistic_regression/sherlock/listify_circuits_k16_forward.py | ehbeam/neuro-knowledge-engine | 9dc56ade0bbbd8d14f0660774f787c3f46d7e632 | [
"MIT"
] | 15 | 2020-07-17T07:10:26.000Z | 2022-02-18T05:51:45.000Z | ontology/neural_network/sherlock/listify_circuits_k16_forward.py | YifeiCAO/neuro-knowledge-engine | 9dc56ade0bbbd8d14f0660774f787c3f46d7e632 | [
"MIT"
] | 2 | 2022-01-14T09:10:12.000Z | 2022-01-28T17:32:42.000Z | ontology/neural_network/sherlock/listify_circuits_k16_forward.py | YifeiCAO/neuro-knowledge-engine | 9dc56ade0bbbd8d14f0660774f787c3f46d7e632 | [
"MIT"
] | 4 | 2021-12-22T13:27:32.000Z | 2022-02-18T05:51:47.000Z | #!/bin/python
import listify_circuits
listify_circuits.optimize_circuits(16, 'forward') | 22 | 49 | 0.829545 | #!/bin/python
import listify_circuits
listify_circuits.optimize_circuits(16, 'forward') | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
46b09847bebe5d7b83147bb9de7289ec119e929b | 296 | py | Python | setup.py | shuvamlal9/download_audioset | fdcc8baeaf1f6884b6e95ccacb1cd59603c8c973 | [
"Apache-2.0"
] | 58 | 2019-02-15T06:42:25.000Z | 2022-02-07T05:44:48.000Z | setup.py | shuvamlal9/download_audioset | fdcc8baeaf1f6884b6e95ccacb1cd59603c8c973 | [
"Apache-2.0"
] | 7 | 2018-11-08T20:09:19.000Z | 2021-09-03T12:35:19.000Z | setup.py | shuvamlal9/download_audioset | fdcc8baeaf1f6884b6e95ccacb1cd59603c8c973 | [
"Apache-2.0"
] | 18 | 2019-09-25T04:46:57.000Z | 2021-08-04T11:54:40.000Z | '''
Quick setup script.
'''
import os
os.system('brew install ffmpeg')
os.system('brew install youtube-dl')
modules=['ffmpy','pandas','soundfile','pafy', 'tqdm']
pip_install(modules)
| 21.142857 | 53 | 0.675676 | '''
Quick setup script.
'''
import os
def pip_install(modules):
for i in range(len(modules)):
os.system('pip3 install %s'%(modules[i]))
os.system('brew install ffmpeg')
os.system('brew install youtube-dl')
modules=['ffmpy','pandas','soundfile','pafy', 'tqdm']
pip_install(modules)
| 0 | 0 | 0 | 0 | 0 | 88 | 0 | 0 | 23 |
bd31657dc3f392331c02e7aeee504595dddd7d6b | 5,819 | py | Python | codestosort/NaturalLanguage/module/tester.py | jimmy-academia/Deeper-Learnings | ac363efe5450dd2751c0c1bea0ee7af457f7ac24 | [
"MIT"
] | 2 | 2019-09-30T04:57:11.000Z | 2020-04-06T04:27:46.000Z | codestosort/NaturalLanguage/module/tester.py | jimmy-academia/Deeper-Learnings | ac363efe5450dd2751c0c1bea0ee7af457f7ac24 | [
"MIT"
] | null | null | null | codestosort/NaturalLanguage/module/tester.py | jimmy-academia/Deeper-Learnings | ac363efe5450dd2751c0c1bea0ee7af457f7ac24 | [
"MIT"
] | null | null | null | import sys
sys.path.append('datapreprocess')
sys.path.append('module')
| 34.636905 | 102 | 0.562983 | import os
import sys
import torch
import logging
import pickle
import datetime
from tqdm import tqdm
sys.path.append('datapreprocess')
sys.path.append('module')
from datafunc import make_dataloader, test_data_for_predict, build_processed_data, make_validloader
from model import LinearNet, RnnNet, RnnAttentionNet
cla... | 0 | 1,170 | 0 | 4,285 | 0 | 0 | 0 | 67 | 223 |
76a2c4c049f86c17dc660de2b14672bf68776fd2 | 467 | py | Python | iiits/migrations/0021_auto_20160423_1110.py | IIITS/iiits.ac.in | fd1bcd656a2f1a038d331b005224c546998a23a6 | [
"MIT"
] | 6 | 2016-02-27T04:35:28.000Z | 2020-06-09T04:18:38.000Z | iiits/migrations/0021_auto_20160423_1110.py | IIITS/iiits.ac.in | fd1bcd656a2f1a038d331b005224c546998a23a6 | [
"MIT"
] | null | null | null | iiits/migrations/0021_auto_20160423_1110.py | IIITS/iiits.ac.in | fd1bcd656a2f1a038d331b005224c546998a23a6 | [
"MIT"
] | 5 | 2016-03-01T07:28:20.000Z | 2021-01-19T10:51:58.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-04-23 11:10
from __future__ import unicode_literals
| 22.238095 | 60 | 0.627409 | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-04-23 11:10
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('iiits', '0020_imageslider_researchcentreprofile'),
]
operations = [
migrations... | 0 | 0 | 0 | 291 | 0 | 0 | 0 | 19 | 46 |
1cea88c1648db23639f82885fc29e436b37f54cf | 345 | py | Python | python/setup.py | Impavidity/pinfrastructure | b5577fe1e140e0b360aec2834349ba87647eb000 | [
"MIT"
] | 10 | 2017-12-04T03:50:50.000Z | 2020-09-25T07:24:32.000Z | python/setup.py | Impavidity/pinfrastructure | b5577fe1e140e0b360aec2834349ba87647eb000 | [
"MIT"
] | 8 | 2018-07-14T09:45:38.000Z | 2018-09-17T20:56:52.000Z | python/setup.py | Impavidity/pinfrastructure | b5577fe1e140e0b360aec2834349ba87647eb000 | [
"MIT"
] | 1 | 2017-11-24T18:31:53.000Z | 2017-11-24T18:31:53.000Z | from setuptools import find_packages, setup
setup(
name='pbase',
version='0.0.1',
author='Peng Shi',
author_email='peng_shi@outlook.com',
description='framework for deep learning applications',
url='https://github.com/Impavidity/pbase',
license='MIT',
install_requires=[
],
pac... | 20.294118 | 59 | 0.669565 | from setuptools import find_packages, setup
setup(
name='pbase',
version='0.0.1',
author='Peng Shi',
author_email='peng_shi@outlook.com',
description='framework for deep learning applications',
url='https://github.com/Impavidity/pbase',
license='MIT',
install_requires=[
],
pac... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90016a8b27c1095766448f52872ada34f0d5ea62 | 1,499 | py | Python | web/migrations/versions/4cbe8e432c6b_add_action_table.py | skystrife/piazza-roles | be1c45fa9b8ecd75e41dc005d4eb7ec5c645d980 | [
"MIT"
] | null | null | null | web/migrations/versions/4cbe8e432c6b_add_action_table.py | skystrife/piazza-roles | be1c45fa9b8ecd75e41dc005d4eb7ec5c645d980 | [
"MIT"
] | null | null | null | web/migrations/versions/4cbe8e432c6b_add_action_table.py | skystrife/piazza-roles | be1c45fa9b8ecd75e41dc005d4eb7ec5c645d980 | [
"MIT"
] | null | null | null | """Add Action table.
Revision ID: 4cbe8e432c6b
Revises: 7b08cf35abd9
Create Date: 2018-07-27 20:05:30.976453
"""
# revision identifiers, used by Alembic.
revision = '4cbe8e432c6b'
down_revision = '7b08cf35abd9'
branch_labels = None
depends_on = None
| 31.229167 | 75 | 0.668446 | """Add Action table.
Revision ID: 4cbe8e432c6b
Revises: 7b08cf35abd9
Create Date: 2018-07-27 20:05:30.976453
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '4cbe8e432c6b'
down_revision = '7b08cf35abd9'
branch_labels = None
depends_on = None
def upgrade():
... | 0 | 0 | 0 | 0 | 0 | 1,150 | 0 | 3 | 90 |
bb841a9f17b94bb83e50a9e9c80862e3e8d31edf | 10,825 | py | Python | src/sqlalchemyseed/seeder.py | jedymatt/sqlalchemyseed | 2bb18889ac958df525afc235f52d7e4bfa7f12f8 | [
"MIT"
] | 5 | 2021-07-27T18:06:12.000Z | 2021-12-26T06:12:07.000Z | src/sqlalchemyseed/seeder.py | jedymatt/sqlalchemyseed | 2bb18889ac958df525afc235f52d7e4bfa7f12f8 | [
"MIT"
] | 5 | 2021-08-28T00:54:15.000Z | 2022-01-19T12:42:24.000Z | src/sqlalchemyseed/seeder.py | jedymatt/sqlalchemyseed | 2bb18889ac958df525afc235f52d7e4bfa7f12f8 | [
"MIT"
] | 1 | 2021-08-08T14:35:02.000Z | 2021-08-08T14:35:02.000Z | """
MIT License
Copyright (c) 2021 Jedy Matt Tabasco
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publ... | 32.41018 | 98 | 0.661247 | """
MIT License
Copyright (c) 2021 Jedy Matt Tabasco
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publ... | 0 | 1,286 | 0 | 7,341 | 0 | 629 | 0 | 116 | 363 |
c6ae817802838c9c1fcaecb00a60b1cdde36ad6c | 1,024 | py | Python | strongr/schedulerdomain/model/scalingdrivers/scalingdriver.py | bigr-erasmusmc/StrongR | 48573e170771a251f629f2d13dba7173f010a38c | [
"Apache-2.0"
] | null | null | null | strongr/schedulerdomain/model/scalingdrivers/scalingdriver.py | bigr-erasmusmc/StrongR | 48573e170771a251f629f2d13dba7173f010a38c | [
"Apache-2.0"
] | null | null | null | strongr/schedulerdomain/model/scalingdrivers/scalingdriver.py | bigr-erasmusmc/StrongR | 48573e170771a251f629f2d13dba7173f010a38c | [
"Apache-2.0"
] | null | null | null | import dependency_injector.containers as containers
import dependency_injector.providers as providers
| 51.2 | 381 | 0.805664 | import dependency_injector.containers as containers
import dependency_injector.providers as providers
import strongr.core
from strongr.schedulerdomain.model.scalingdrivers.nullscaler import NullScaler
from strongr.schedulerdomain.model.scalingdrivers.simplescaler import SimpleScaler
from strongr.schedulerdomain.model... | 0 | 0 | 0 | 624 | 0 | 0 | 0 | 184 | 113 |
f9a6ef735c3f7d5839603fb65b8f00b4e1d4343e | 4,124 | py | Python | backend/post/serializers.py | tecty/SENG2021 | f04c58b61c8ad44e776a0a1694a77a1b9b6eed6a | [
"MIT"
] | null | null | null | backend/post/serializers.py | tecty/SENG2021 | f04c58b61c8ad44e776a0a1694a77a1b9b6eed6a | [
"MIT"
] | null | null | null | backend/post/serializers.py | tecty/SENG2021 | f04c58b61c8ad44e776a0a1694a77a1b9b6eed6a | [
"MIT"
] | null | null | null |
# class PostSerializer(serializers.Serializer):
# id = serializers.IntegerField(read_only = True)
# title = serializers.CharField(max_length = 255)
# detail = serializers.CharField(max_length = 2047)
# def create(self,validated_data):
# """create a Post from json"""
# return Post.obj... | 32.730159 | 78 | 0.606208 | from rest_framework import serializers
from .models import Post, Location, Tag,Photo
# class PostSerializer(serializers.Serializer):
# id = serializers.IntegerField(read_only = True)
# title = serializers.CharField(max_length = 255)
# detail = serializers.CharField(max_length = 2047)
# def create(se... | 0 | 0 | 0 | 3,341 | 0 | 0 | 0 | 41 | 136 |
44399eb4722e282205d533abf1009cd04c03e3f2 | 861 | py | Python | setup.py | limdongjin/smart-crawler | bc5f4f78528ae28cb7cf5f33515c3353aa72169f | [
"MIT"
] | 1 | 2019-09-08T22:04:55.000Z | 2019-09-08T22:04:55.000Z | setup.py | limdongjin/smart-crawller | bc5f4f78528ae28cb7cf5f33515c3353aa72169f | [
"MIT"
] | 1 | 2021-06-02T00:20:16.000Z | 2021-06-02T00:20:16.000Z | setup.py | limdongjin/smart-crawller | bc5f4f78528ae28cb7cf5f33515c3353aa72169f | [
"MIT"
] | 1 | 2020-08-15T12:27:58.000Z | 2020-08-15T12:27:58.000Z | from setuptools import setup, find_packages
setup(
name='smart-crawler',
version='0.2',
url='https://github.com/limdongjin/smart-crawler',
license='MIT',
author='limdongjin',
author_email='geniuslim27@gmail.com',
description='Smart Crawler',
packages=find_packages(),
long_descript... | 25.323529 | 60 | 0.54007 | import io
from setuptools import setup, find_packages
def long_description():
with io.open('README.md', 'r', encoding='utf-8') as f:
readme = f.read()
return readme
setup(
name='smart-crawler',
version='0.2',
url='https://github.com/limdongjin/smart-crawler',
license='MIT',
autho... | 0 | 0 | 0 | 0 | 0 | 105 | 0 | -12 | 45 |
d8db5ebb95e08d462648397b5a96142b82994143 | 838 | py | Python | solar/solar.py | laluferu/hw_7 | 8f8fa38695d23a6aaa97fed7facc6bf03481c03d | [
"MIT"
] | null | null | null | solar/solar.py | laluferu/hw_7 | 8f8fa38695d23a6aaa97fed7facc6bf03481c03d | [
"MIT"
] | null | null | null | solar/solar.py | laluferu/hw_7 | 8f8fa38695d23a6aaa97fed7facc6bf03481c03d | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
tray = np.genfromtxt("solar.dat",delimiter=",")
a = tray[:,0]
b = tray[:,1]
c = tray[:,2]
d = tray[:,3]
fig = plt.figure(figsize = (20,20))
plt.subplot(2,3,1)
plt.scatter(a,b)
plt.title('Grafica a vs b ')
plt.xlabel('a' )
plt.ylabel('b' )
plt.subplot(2,3,2)
pl... | 15.518519 | 47 | 0.632458 | import matplotlib.pyplot as plt
import numpy as np
tray = np.genfromtxt("solar.dat",delimiter=",")
a = tray[:,0]
b = tray[:,1]
c = tray[:,2]
d = tray[:,3]
fig = plt.figure(figsize = (20,20))
plt.subplot(2,3,1)
plt.scatter(a,b)
plt.title('Grafica a vs b ')
plt.xlabel('a' )
plt.ylabel('b' )
plt.subplot(2,3,2)
pl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b6735ebf0a44f6ae0930212653b892df8d69005a | 4,767 | py | Python | pmtc/pmtc_csgo.py | amosbastian/mhp | 97bfd505a1b2925b384246689e09abf6c296f598 | [
"MIT"
] | 1 | 2021-12-15T09:29:05.000Z | 2021-12-15T09:29:05.000Z | pmtc/pmtc_csgo.py | amosbastian/mhp | 97bfd505a1b2925b384246689e09abf6c296f598 | [
"MIT"
] | 3 | 2021-01-08T08:55:23.000Z | 2021-12-13T19:42:46.000Z | pmtc/pmtc_csgo.py | amosbastian/mhp | 97bfd505a1b2925b384246689e09abf6c296f598 | [
"MIT"
] | 2 | 2020-06-20T21:14:55.000Z | 2020-07-15T18:19:06.000Z | import json
import pycountry
import requests
import sys
import os
from bs4 import BeautifulSoup
from collections import namedtuple
directory = os.path.dirname(os.path.abspath(__file__))
def create_players(table):
"""
Loop through given table and create Player objects with the following
attributes:
... | 30.557692 | 79 | 0.591777 | import json
import pycountry
import requests
import sys
import os
from bs4 import BeautifulSoup
from collections import namedtuple
directory = os.path.dirname(os.path.abspath(__file__))
def create_players(table):
"""
Loop through given table and create Player objects with the following
attributes:
... | 0 | 0 | 0 | 0 | 0 | 116 | 0 | 0 | 23 |
e54d408698a4c259a13050d9e1d7580f64ca0679 | 6,620 | py | Python | common/src/build-data/scripts/dist.py | ane-community/botan-crypto-ane | 71056f5f0d5fd706e6d42e2f7ec0f7f55d86fb74 | [
"MIT"
] | 1 | 2018-03-09T20:21:47.000Z | 2018-03-09T20:21:47.000Z | common/src/build-data/scripts/dist.py | ane-community/botan-crypto-ane | 71056f5f0d5fd706e6d42e2f7ec0f7f55d86fb74 | [
"MIT"
] | null | null | null | common/src/build-data/scripts/dist.py | ane-community/botan-crypto-ane | 71056f5f0d5fd706e6d42e2f7ec0f7f55d86fb74 | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
Release script for botan (http://botan.randombit.net/)
(C) 2011, 2012 Jack Lloyd
Distributed under the terms of the Botan license
"""
import logging
import sys
if __name__ == '__main__':
try:
sys.exit(main())
except Exception as e:
logging.error(e)
import traceb... | 28.782609 | 90 | 0.573867 | #!/usr/bin/python
"""
Release script for botan (http://botan.randombit.net/)
(C) 2011, 2012 Jack Lloyd
Distributed under the terms of the Botan license
"""
import errno
import logging
import optparse
import os
import shlex
import StringIO
import shutil
import subprocess
import sys
import tarfile
def check_subproce... | 0 | 0 | 0 | 0 | 3,890 | 2,041 | 0 | -61 | 361 |
1df314dca28913ceda289e2ee311b3e80def76d2 | 2,023 | py | Python | tab.py | sarrionandia/tournatrack | 4c13a23f43da5317eea4614870a7a8510fc540ec | [
"Apache-2.0"
] | 1 | 2015-08-13T14:35:11.000Z | 2015-08-13T14:35:11.000Z | tab.py | sarrionandia/tournatrack | 4c13a23f43da5317eea4614870a7a8510fc540ec | [
"Apache-2.0"
] | null | null | null | tab.py | sarrionandia/tournatrack | 4c13a23f43da5317eea4614870a7a8510fc540ec | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Roberto Brian Sarrionandia
#
# 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 t... | 27.712329 | 74 | 0.687593 | # Copyright 2014 Roberto Brian Sarrionandia
#
# 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 t... | 0 | 0 | 0 | 1,049 | 0 | 0 | 0 | 17 | 91 |
b6de34c73f637ea19a9f7821a4d1cb53b0ef6313 | 1,254 | py | Python | jiangrong/jit-block.py | ronjian/once-for-all | 6d0a76be5007fda31c8b366a51f23b626bb8f24c | [
"Apache-2.0"
] | null | null | null | jiangrong/jit-block.py | ronjian/once-for-all | 6d0a76be5007fda31c8b366a51f23b626bb8f24c | [
"Apache-2.0"
] | null | null | null | jiangrong/jit-block.py | ronjian/once-for-all | 6d0a76be5007fda31c8b366a51f23b626bb8f24c | [
"Apache-2.0"
] | null | null | null | import torch
import sys; sys.path.append("/workspace/once-for-all")
from ofa.model_zoo import MobileInvertedResidualBlock
from ofa.layers import ConvLayer, PoolingLayer, LinearLayer
block_config = {
"name": "MobileInvertedResidualBlock",
"mobile_inverted_conv": {
"name": "MBIn... | 33.891892 | 70 | 0.500797 | import torch
import sys; sys.path.append("/workspace/once-for-all")
from ofa.model_zoo import MobileInvertedResidualBlock
from ofa.layers import ConvLayer, PoolingLayer, LinearLayer,
block_config = {
"name": "MobileInvertedResidualBlock",
"mobile_inverted_conv": {
"name": "MBI... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29647b3a757c29b49e6efec66afbc1819cb55c41 | 291 | py | Python | build/lib/ctrlengine/__init__.py | 0xJeremy/ctrl.engine | 19abba70df149a05edc5722cc95ceacc538448e6 | [
"MIT"
] | 3 | 2020-04-18T19:28:15.000Z | 2021-02-25T18:48:08.000Z | build/lib/ctrlengine/__init__.py | 0xJeremy/ctrl.engine | 19abba70df149a05edc5722cc95ceacc538448e6 | [
"MIT"
] | null | null | null | build/lib/ctrlengine/__init__.py | 0xJeremy/ctrl.engine | 19abba70df149a05edc5722cc95ceacc538448e6 | [
"MIT"
] | null | null | null | from .controllers.pid import PID_ctrl
PID = PID_ctrl
from .filters.sma import simple_moving_average
SMA = simple_moving_average
from .filters.ewma import exponentially_weighted_moving_average
EWMA = exponentially_weighted_moving_average
from .sensors.camera import camera
camera = camera
| 24.25 | 63 | 0.852234 | from .controllers.pid import PID_ctrl
PID = PID_ctrl
from .filters.sma import simple_moving_average
SMA = simple_moving_average
from .filters.ewma import exponentially_weighted_moving_average
EWMA = exponentially_weighted_moving_average
from .sensors.camera import camera
camera = camera
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f1f48ef92a9073f542579d5b744ac993e40d285d | 2,480 | py | Python | clef/clef_dataloaders/clef_paths.py | ogaloglu/pre-training-multilingual-document-encoders | 6cfd31c42bf9e9368a01f7a57489413b0dd8e8a3 | [
"Apache-2.0"
] | null | null | null | clef/clef_dataloaders/clef_paths.py | ogaloglu/pre-training-multilingual-document-encoders | 6cfd31c42bf9e9368a01f7a57489413b0dd8e8a3 | [
"Apache-2.0"
] | null | null | null | clef/clef_dataloaders/clef_paths.py | ogaloglu/pre-training-multilingual-document-encoders | 6cfd31c42bf9e9368a01f7a57489413b0dd8e8a3 | [
"Apache-2.0"
] | null | null | null |
CLEF_BASE_DIR = "/work/ogalolu/data/clef/"
CLEF_LOWRES_DIR = ""
if not CLEF_BASE_DIR:
raise FileNotFoundError(f"Download CLEF and set CLEF_BASE_DIR in {__file__}")
#
# CLEF paths
#
PATH_BASE_QUERIES = CLEF_BASE_DIR + "Topics/"
PATH_BASE_DOCUMENTS = CLEF_BASE_DIR + "DocumentData/"
PATH_BASE_EVAL = CLEF_BASE_DIR + "... | 42.033898 | 106 | 0.719355 | from clef_extractors import *
CLEF_BASE_DIR = "/work/ogalolu/data/clef/"
CLEF_LOWRES_DIR = ""
if not CLEF_BASE_DIR:
raise FileNotFoundError(f"Download CLEF and set CLEF_BASE_DIR in {__file__}")
#
# CLEF paths
#
PATH_BASE_QUERIES = CLEF_BASE_DIR + "Topics/"
PATH_BASE_DOCUMENTS = CLEF_BASE_DIR + "DocumentData/"
PATH... | 0 | 0 | 0 | 0 | 0 | 84 | 0 | 8 | 44 |
0efa9312381966faa89ed0b842c0044959a6f17f | 81 | py | Python | src/parameters.py | brenorms/ispy-hijackdet | e9d95c2c287406769ba4382928f126abc5faa75c | [
"MIT"
] | null | null | null | src/parameters.py | brenorms/ispy-hijackdet | e9d95c2c287406769ba4382928f126abc5faa75c | [
"MIT"
] | null | null | null | src/parameters.py | brenorms/ispy-hijackdet | e9d95c2c287406769ba4382928f126abc5faa75c | [
"MIT"
] | null | null | null | DESTINATION = "dest"
ROUTE = "route"
TIMESTAMP = "time"
INCOMPLETE = "incomplete" | 20.25 | 25 | 0.716049 | DESTINATION = "dest"
ROUTE = "route"
TIMESTAMP = "time"
INCOMPLETE = "incomplete" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
899565351183ed11982ca23bd721f826d9db3dc3 | 10,726 | py | Python | legtool/async/asyncio_qt.py | jpieper/legtool | ab3946051bd16817b61d3073ce7be8bd27af90d0 | [
"Apache-2.0"
] | 10 | 2015-09-23T19:28:06.000Z | 2021-04-27T02:32:27.000Z | legtool/async/asyncio_qt.py | jpieper/legtool | ab3946051bd16817b61d3073ce7be8bd27af90d0 | [
"Apache-2.0"
] | null | null | null | legtool/async/asyncio_qt.py | jpieper/legtool | ab3946051bd16817b61d3073ce7be8bd27af90d0 | [
"Apache-2.0"
] | 9 | 2015-10-16T07:26:18.000Z | 2021-01-13T07:18:35.000Z | # Copyright 2014 Josh Pieper, jjp@pobox.com.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 32.113772 | 78 | 0.580832 | # Copyright 2014 Josh Pieper, jjp@pobox.com.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 0 | 2,561 | 0 | 7,163 | 0 | 0 | 0 | -22 | 224 |
43b5ac3a72f9f95842b15538afd7bc1f2c01b85a | 409 | py | Python | tests/test_route53.py | compose-x/troposphere | 9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4 | [
"BSD-2-Clause"
] | null | null | null | tests/test_route53.py | compose-x/troposphere | 9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4 | [
"BSD-2-Clause"
] | null | null | null | tests/test_route53.py | compose-x/troposphere | 9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4 | [
"BSD-2-Clause"
] | null | null | null | import unittest
if __name__ == "__main__":
unittest.main()
| 27.266667 | 86 | 0.738386 | import unittest
from troposphere.route53 import AliasTarget
class TestAliasTarget(unittest.TestCase):
def test_bucket_template(self):
AliasTarget("zone", "dnsname", True)
AliasTarget(hostedzoneid="zone", dnsname="dnsname", evaluatetargethealth=True)
AliasTarget(HostedZoneId="zone", DNSNam... | 0 | 0 | 0 | 275 | 0 | 0 | 0 | 22 | 46 |
31e0663dbc76bff63285d4bb8f3f2e71fbc4584c | 8,143 | py | Python | mmdeploy/apis/onnx/partition.py | grimoire/mmdeploy | e84bc30f4a036dd19cb3af854203922a91098e84 | [
"Apache-2.0"
] | 746 | 2021-12-27T10:50:28.000Z | 2022-03-31T13:34:14.000Z | mmdeploy/apis/onnx/partition.py | grimoire/mmdeploy | e84bc30f4a036dd19cb3af854203922a91098e84 | [
"Apache-2.0"
] | 253 | 2021-12-28T05:59:13.000Z | 2022-03-31T18:22:25.000Z | mmdeploy/apis/onnx/partition.py | grimoire/mmdeploy | e84bc30f4a036dd19cb3af854203922a91098e84 | [
"Apache-2.0"
] | 147 | 2021-12-27T10:50:33.000Z | 2022-03-30T10:44:20.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import onnx
import onnx.helper
| 39.529126 | 79 | 0.557534 | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Iterable, Optional, Union
import onnx
import onnx.helper
import onnx.utils
from mmdeploy.apis.core import PIPELINE_MANAGER
from mmdeploy.core.optimizers import (attribute_to_dict, create_extractor,
get_new_n... | 0 | 7,655 | 0 | 0 | 0 | 0 | 0 | 273 | 134 |
5d7f2e56aabd9c24bae1c58515d40f566137a253 | 30,722 | py | Python | Utilities/Data_Retrieval.py | MaximilianJanetschek/Urban_Intermodal_Transportation | 632caf668636448dc9290d54cf1c7b527c68a957 | [
"MIT"
] | null | null | null | Utilities/Data_Retrieval.py | MaximilianJanetschek/Urban_Intermodal_Transportation | 632caf668636448dc9290d54cf1c7b527c68a957 | [
"MIT"
] | null | null | null | Utilities/Data_Retrieval.py | MaximilianJanetschek/Urban_Intermodal_Transportation | 632caf668636448dc9290d54cf1c7b527c68a957 | [
"MIT"
] | null | null | null |
def chunks(lst, n):
"""Yield successive n-sized chunks from lst."""
return [lst[x:x+n] for x in range(0, len(lst), n)]
| 48.229199 | 163 | 0.571252 | import multiprocessing
import os
from joblib import delayed, Parallel
from Utilities.OSMnx_Utility import *
from Utilities.GTFS_Utility import *
from Utilities.General_Function import *
from Utilities.Data_Manipulation import *
import copy
import time
import tqdm
class InstanceNetwork:
"""
The 'InstanceNetw... | 0 | 0 | 0 | 29,358 | 0 | 895 | 0 | 44 | 291 |
9f26d6035b6573e34596eb9fde7c872ffce0a295 | 834 | py | Python | Python3-Exercises/P4_BasicPrototype/create_table.py | anliven/Reading-Code-Learning-Python | a814cab207bbaad6b5c69b9feeb8bf2f459baf2b | [
"Apache-2.0"
] | null | null | null | Python3-Exercises/P4_BasicPrototype/create_table.py | anliven/Reading-Code-Learning-Python | a814cab207bbaad6b5c69b9feeb8bf2f459baf2b | [
"Apache-2.0"
] | null | null | null | Python3-Exercises/P4_BasicPrototype/create_table.py | anliven/Reading-Code-Learning-Python | a814cab207bbaad6b5c69b9feeb8bf2f459baf2b | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
import sqlite3
conn = sqlite3.connect('TempTest.db') # db
curs = conn.cursor() #
curs.execute('''
CREATE TABLE messages (
id integer primary key autoincrement,
subject text not null,
sender text not null,
reply_to int,
text text not null
)
''') # SQL
... | 29.785714 | 98 | 0.645084 | # coding=utf-8
import sqlite3
conn = sqlite3.connect('TempTest.db') # 如果db文件不存在将自动创建
curs = conn.cursor() # 从连接获得游标
curs.execute('''
CREATE TABLE messages (
id integer primary key autoincrement,
subject text not null,
sender text not null,
reply_to int,
text text not ... | 153 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
518d85a3aef403f601f2a5017033b27fa0b6353e | 670 | py | Python | Advance_Python/Threads/Interface.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | Advance_Python/Threads/Interface.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | Advance_Python/Threads/Interface.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | # Interface
a = Army()
af = AirForce()
n = Navy()
a.area()
a.gun()
print()
af.area()
af.gun()
print()
n.area()
n.gun() | 12.884615 | 35 | 0.565672 | # Interface
from abc import ABC, abstractmethod
class DefenceForce(ABC):
@abstractmethod
def gun(self):
pass
@abstractmethod
def area(self):
pass
class Army(DefenceForce):
def gun(self):
print("Gun : AK47")
def area(self):
print("Area : Land")
class AirFor... | 0 | 53 | 0 | 312 | 0 | 0 | 0 | 14 | 169 |
066da45179243a03d94f2d09baf50607a017d988 | 2,479 | py | Python | validation/validation_data_parser.py | djgroen/FabCovid | 9449f2a9ac5562c28bb7d25c2b772daba4930e21 | [
"BSD-3-Clause"
] | null | null | null | validation/validation_data_parser.py | djgroen/FabCovid | 9449f2a9ac5562c28bb7d25c2b772daba4930e21 | [
"BSD-3-Clause"
] | null | null | null | validation/validation_data_parser.py | djgroen/FabCovid | 9449f2a9ac5562c28bb7d25c2b772daba4930e21 | [
"BSD-3-Clause"
] | null | null | null |
if __name__ == '__main__':
update_validation_data(force=True)
print('Done') | 33.5 | 87 | 0.498992 | import pandas as pd
import os
def get_region_names():
path = '../config_files'
return os.listdir(path)
def get_validation_names():
path = 'raw_data'
d = os.listdir(path)
d = list(set(['_'.join(x.split('_')[:-1]) for x in d]))
return d
def update_validation_data(regions='all', force=False):
... | 0 | 0 | 0 | 0 | 0 | 2,295 | 0 | -14 | 113 |
97b8adc68cda8f76e6a472a5ea0c1148ad16237a | 4,241 | py | Python | auto.py | Angel-cuba/Painonhallinta_LAST | c7176dca2b5812470667e07357ffcfecff5f3ba4 | [
"CC0-1.0"
] | null | null | null | auto.py | Angel-cuba/Painonhallinta_LAST | c7176dca2b5812470667e07357ffcfecff5f3ba4 | [
"CC0-1.0"
] | null | null | null | auto.py | Angel-cuba/Painonhallinta_LAST | c7176dca2b5812470667e07357ffcfecff5f3ba4 | [
"CC0-1.0"
] | null | null | null |
# Auto-luokka yliluokka erilaisille autotyypeille
# Ominaisuudet (Field, Property) merkki, malli, vuosimalli, kilometrit, kyttvoima, vaihteistotyyppi, vri ja
if __name__ == '__main__':
henkiloauto1 = Henkiloauto('ABC-12', 'Ferrary', 'Land', 2020, 354322, 'diesel', 'automaatti', 'punainen', 270, 2.8, 4000, 7, 5... | 39.268519 | 193 | 0.656685 |
# Auto-luokka yliluokka erilaisille autotyypeille
# Ominaisuudet (Field, Property) merkki, malli, vuosimalli, kilometrit, käyttövoima, vaihteistotyyppi, väri ja
class Auto():
# Olionmuodostin eli knstruktori
def __init__(self, rek, merkki, malli, vm, km, kvoima, vaihteito, vari, paastot, s_tilavuus, hin... | 92 | 537 | 0 | 2,745 | 0 | 0 | 0 | 0 | 46 |
92d78602e71ff019637a48c3901e7b88a151aaae | 3,475 | py | Python | BaseEditor.py | Demezy/SpeedSearch | dc25090d2e30ecc1f669a3a6c9d7a2277fd9ca32 | [
"BSD-3-Clause"
] | null | null | null | BaseEditor.py | Demezy/SpeedSearch | dc25090d2e30ecc1f669a3a6c9d7a2277fd9ca32 | [
"BSD-3-Clause"
] | null | null | null | BaseEditor.py | Demezy/SpeedSearch | dc25090d2e30ecc1f669a3a6c9d7a2277fd9ca32 | [
"BSD-3-Clause"
] | null | null | null |
def cursore_maker(method):
""", , """
return wrapper
if __name__ == '__main__':
from Searcher import FileWorker
base = SQLWorker() # ,
file = FileWorker('./test')
base.make_table()
base.fill_the_table(file.list_of_files)
print(base.search_except_parameter('flag')) #... | 36.968085 | 118 | 0.640288 | import os
import sqlite3
def cursore_maker(method):
"""Декоратор, создающий курсор, для работы с бд"""
def wrapper(self, *args, **kwargs):
with sqlite3.connect(self.name) as base:
cur = base.cursor()
return_value = method(self, cur, *args, **kwargs)
base.commit()
... | 1,502 | 1,504 | 0 | 603 | 0 | 211 | 0 | -19 | 94 |
c5d1d1b86bf3bdcb3ec08d34977098d33c7f38d4 | 9,846 | py | Python | layers.py | Gladys-Zhao/mRNN-mLSTM | 23499f237ea8b0f68c96f756fbf0f4028836e64c | [
"BSD-3-Clause"
] | 15 | 2020-06-17T06:40:00.000Z | 2021-11-18T09:08:23.000Z | layers.py | Gladys-Zhao/mRNN-mLSTM | 23499f237ea8b0f68c96f756fbf0f4028836e64c | [
"BSD-3-Clause"
] | null | null | null | layers.py | Gladys-Zhao/mRNN-mLSTM | 23499f237ea8b0f68c96f756fbf0f4028836e64c | [
"BSD-3-Clause"
] | 3 | 2020-07-17T09:00:44.000Z | 2021-11-18T09:08:24.000Z | #Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
#This program is free software; you can redistribute it and/or modify it under the terms of the BSD 3-Clause License.
#This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty... | 42.808696 | 228 | 0.591205 | #Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
#This program is free software; you can redistribute it and/or modify it under the terms of the BSD 3-Clause License.
#This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty... | 0 | 0 | 0 | 9,212 | 0 | 0 | 0 | 15 | 171 |
aa9bc77eb78bd2c1fefa580f9e9e571616cbb9c0 | 9,384 | py | Python | train_procgen/policies.py | yanlai00/train-procgen | 9785eb8945f55e1c30ed50fe33345405688ed6d8 | [
"MIT"
] | null | null | null | train_procgen/policies.py | yanlai00/train-procgen | 9785eb8945f55e1c30ed50fe33345405688ed6d8 | [
"MIT"
] | null | null | null | train_procgen/policies.py | yanlai00/train-procgen | 9785eb8945f55e1c30ed50fe33345405688ed6d8 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
from baselines.a2c.utils import conv, fc, conv_to_fc
def impala_cnn(images, depths=[16, 32, 32], use_batch_norm=True, dropout=0):
"""
Model used in the paper "IMPALA: Scalable Distributed Deep-RL with
Importance Weighted Actor-Learner Architectures" https://arxiv... | 36.092308 | 154 | 0.62159 | import numpy as np
import tensorflow as tf
from baselines.a2c.utils import conv, fc, conv_to_fc
from baselines.common.distributions import make_pdtype
from baselines.common.input import observation_input
def impala_cnn(images, depths=[16, 32, 32], use_batch_norm=True, dropout=0):
"""
Model used in the paper "I... | 0 | 0 | 0 | 2,996 | 0 | 3,462 | 0 | 64 | 356 |
a4e036509faa2256a7a9e09c740aa8cc9007b65a | 1,704 | py | Python | examples/irp_wind/Hornsrev_aep.py | DTUWindEnergy/TopFarm2 | cba70b20431f7a828370447117fe2e7533edf7c2 | [
"MIT"
] | 4 | 2019-02-18T08:46:00.000Z | 2021-01-28T06:35:52.000Z | examples/irp_wind/Hornsrev_aep.py | DTUWindEnergy/TopFarm2 | cba70b20431f7a828370447117fe2e7533edf7c2 | [
"MIT"
] | 1 | 2019-11-26T12:12:12.000Z | 2019-11-26T12:12:12.000Z | examples/irp_wind/Hornsrev_aep.py | DTUWindEnergy/TopFarm2 | cba70b20431f7a828370447117fe2e7533edf7c2 | [
"MIT"
] | 8 | 2019-01-14T09:33:26.000Z | 2021-06-30T11:56:03.000Z | import os
from topfarm.cost_models.fuga import py_fuga
fuga_path = os.path.abspath(os.path.dirname(py_fuga.__file__)) + '/Colonel/'
if __name__ == '__main__':
print(HornsrevAEP_Fuga())
print(HornsrevAEP_FUSEDWake_GCL())
| 42.6 | 116 | 0.72946 | import os
from fusedwake import fusedwake
import numpy as np
from topfarm.cost_models.fuga import py_fuga
from topfarm.cost_models.fuga.py_fuga import PyFuga
from topfarm.cost_models.fused_wake_wrappers import FusedWakeGCLWakeModel
from topfarm.cost_models.utils.aep_calculator import AEPCalculator
from topfarm.cost_mod... | 0 | 0 | 0 | 0 | 0 | 1,059 | 0 | 212 | 200 |
7cc174b27a3a5124410ce82ecece72d829e47756 | 9,973 | py | Python | ELCplotter_tester.py | mrawls/ELCtools | 7e15bf24c453ed4300c6f19f01cff74c041158b8 | [
"MIT"
] | 2 | 2018-10-08T04:59:38.000Z | 2021-01-19T08:10:04.000Z | ELCplotter_tester.py | mrawls/ELCtools | 7e15bf24c453ed4300c6f19f01cff74c041158b8 | [
"MIT"
] | 1 | 2021-07-20T16:42:43.000Z | 2021-07-20T16:42:43.000Z | ELCplotter_tester.py | mrawls/ELCtools | 7e15bf24c453ed4300c6f19f01cff74c041158b8 | [
"MIT"
] | 1 | 2018-07-31T14:36:24.000Z | 2018-07-31T14:36:24.000Z | from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
'''
Meredith Rawls, Dec 2015
Plotting routine for initial 'test' runs of ELC.
It will make a plot that has both light curve data w/fit and RV data w/fit.
There are also residuals in the plots!
(Strongly based on ELCplotter_unfold.p... | 38.655039 | 115 | 0.702497 | from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import IndexLocator, FormatStrFormatter
'''
Meredith Rawls, Dec 2015
Plotting routine for initial 'test' runs of ELC.
It will make a plot that has both light curve data w/fit and RV data w/fit.
There are also... | 0 | 0 | 0 | 0 | 0 | 318 | 0 | 41 | 44 |
ea3901051a292a10d6c15b1c314255b8605ae047 | 655 | py | Python | Python_Code/experimentFive/experimentFive_test2.py | xiaoandx/learningCode | 2c41bc7199ef21a70d1935f32296d520e18f719f | [
"MIT"
] | 13 | 2020-10-25T15:38:15.000Z | 2022-02-21T02:21:24.000Z | Python_Code/experimentFive/experimentFive_test2.py | xiaoandx/learningCode | 2c41bc7199ef21a70d1935f32296d520e18f719f | [
"MIT"
] | 4 | 2020-10-26T08:37:27.000Z | 2020-12-14T08:49:51.000Z | Python_Code/experimentFive/experimentFive_test2.py | xiaoandx/learningCode | 2c41bc7199ef21a70d1935f32296d520e18f719f | [
"MIT"
] | 10 | 2020-10-25T15:38:30.000Z | 2021-09-15T03:54:39.000Z | """
Copyright (c) 2020 WEI.ZHOU. All rights reserved.
The following code snippets are only used for circulation and cannot be used for business.
If the code is used, no consent is required, but the author has nothing to do with any problems
and consequences.
In case of code problems, feedback can be made through the fo... | 29.772727 | 95 | 0.674809 | """
Copyright (c) 2020 WEI.ZHOU. All rights reserved.
The following code snippets are only used for circulation and cannot be used for business.
If the code is used, no consent is required, but the author has nothing to do with any problems
and consequences.
In case of code problems, feedback can be made through the fo... | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
71e3e1197df9eb06e7e634ae3138a713531bf1f2 | 595 | py | Python | src/pyproject_api/__init__.py | graingert/pyproject-api | 8304504643efc88061966c685eca4cd8958671c5 | [
"MIT"
] | null | null | null | src/pyproject_api/__init__.py | graingert/pyproject-api | 8304504643efc88061966c685eca4cd8958671c5 | [
"MIT"
] | null | null | null | src/pyproject_api/__init__.py | graingert/pyproject-api | 8304504643efc88061966c685eca4cd8958671c5 | [
"MIT"
] | null | null | null | from ._frontend import (BackendFailed, CmdStatus, Frontend, MetadataForBuildWheelResult, RequiresBuildSdistResult, RequiresBuildWheelResult, SdistResult, WheelResult)
from ._version import version
from ._via_fresh_subprocess import SubprocessFrontend
#: semantic version of the project
__version__ = version
__all__ = ... | 20.517241 | 53 | 0.719328 | from ._frontend import (
BackendFailed,
CmdStatus,
Frontend,
MetadataForBuildWheelResult,
RequiresBuildSdistResult,
RequiresBuildWheelResult,
SdistResult,
WheelResult,
)
from ._version import version
from ._via_fresh_subprocess import SubprocessFrontend
#: semantic version of the projec... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 |
9f6ae539927188c3ccbaedb48cb3e751417e791e | 1,483 | py | Python | drafts/exercises/mnist.py | ItamarRocha/AI | 134e4e39f7034657472d7996ce70f37ff7a6e74b | [
"MIT"
] | 2 | 2020-06-23T16:28:26.000Z | 2020-07-11T11:39:18.000Z | drafts/exercises/mnist.py | ItamarRocha/AI | 134e4e39f7034657472d7996ce70f37ff7a6e74b | [
"MIT"
] | 12 | 2021-09-08T02:38:57.000Z | 2022-03-12T01:00:12.000Z | drafts/exercises/mnist.py | ItamarRocha/AI | 134e4e39f7034657472d7996ce70f37ff7a6e74b | [
"MIT"
] | 1 | 2021-05-07T15:22:50.000Z | 2021-05-07T15:22:50.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 27 18:29:10 2019
@author: itamar
"""
from keras.datasets import mnist
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
train_images.shape
len(train_labels)
train_labels
test_images.shape
len(test_images)
test_labels
pr... | 23.539683 | 76 | 0.710722 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 27 18:29:10 2019
@author: itamar
"""
from keras.datasets import mnist
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
train_images.shape
len(train_labels)
train_labels
test_images.shape
len(test_images)
test_labels
pr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3f54db164b94291e4109a8565d89cdaaf68dbfba | 2,264 | py | Python | taxishare/anneal/preparations.py | SatoPj-mitou2018/demo-taxishare | f8701cac5d160d0cd94dae9a9a56cb84a3cdb9f0 | [
"MIT"
] | null | null | null | taxishare/anneal/preparations.py | SatoPj-mitou2018/demo-taxishare | f8701cac5d160d0cd94dae9a9a56cb84a3cdb9f0 | [
"MIT"
] | null | null | null | taxishare/anneal/preparations.py | SatoPj-mitou2018/demo-taxishare | f8701cac5d160d0cd94dae9a9a56cb84a3cdb9f0 | [
"MIT"
] | null | null | null | from datetime import date
import numpy as np
import pandas as pd
from scipy.stats import zscore
def normalize(df):
"""
Parameters
----------
df: pandas.dataframe
Returns
-------
norm_df: pandas.dataframe
"""
def calc_age(born):
"""
... | 22.415842 | 84 | 0.587014 | from datetime import date
import numpy as np
import pandas as pd
from scipy.stats import zscore
def normalize(df):
"""
特徴量を標準化する。
Parameters
----------
df: pandas.dataframe
標準化前の特徴量データフレーム
Returns
-------
norm_df: pandas.dataframe
標準化された特徴量データフレーム
"""
def cal... | 672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
911b134dc6a86be73b332315c97a1543c0b6cc2d | 740 | py | Python | spotify_uri/__init__.py | zeroday0619/pyspotify-uri | d2b4cba6c02051901eda13742b9385315341dbb2 | [
"MIT"
] | 7 | 2021-01-10T13:28:55.000Z | 2021-09-17T13:01:07.000Z | spotify_uri/__init__.py | zeroday0619/pyspotify-uri | d2b4cba6c02051901eda13742b9385315341dbb2 | [
"MIT"
] | null | null | null | spotify_uri/__init__.py | zeroday0619/pyspotify-uri | d2b4cba6c02051901eda13742b9385315341dbb2 | [
"MIT"
] | null | null | null | __version__ = "1.0.3"
| 25.517241 | 77 | 0.7 | __version__ = "1.0.3"
from spotify_uri.parse import parse as _parse
from spotify_uri.spotify import SpotifyUri
def parse(uri: str):
return _parse(uri)
def formatURI(_input: str) -> str:
_uri: SpotifyUri = parse(_input) if bool(type(_input) == str) else _input
return _uri.toURI()
def formatEmbedURL(_i... | 0 | 0 | 0 | 0 | 0 | 508 | 0 | 45 | 160 |
fc815432329bd50b5b3563f1a31416a62326e975 | 3,531 | py | Python | cloudwine/inference.py | elmidelange/CloudWine | 04f61c39c0256252569ed2cfdde196dc981a0b00 | [
"MIT"
] | 2 | 2020-06-13T00:56:13.000Z | 2020-08-09T23:20:24.000Z | cloudwine/inference.py | elmidelange/CloudWine | 04f61c39c0256252569ed2cfdde196dc981a0b00 | [
"MIT"
] | 1 | 2020-06-08T19:19:49.000Z | 2020-06-08T19:19:49.000Z | cloudwine/inference.py | elmidelange/CloudWine | 04f61c39c0256252569ed2cfdde196dc981a0b00 | [
"MIT"
] | 3 | 2020-06-05T09:25:28.000Z | 2020-06-20T13:55:20.000Z | import nltk
nltk.download('punkt')
nltk.download('stopwords')
nltk.download('wordnet')
# Loads TF-IDF model and inferences input string
# Loads TF-IDF model and inferences input string
# Loads BERT embeddings and inferences input string
| 33 | 106 | 0.730105 | import argparse
import pandas as pd
import numpy as np
import pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
import nltk
nltk.download('punkt')
nltk.download('stopwords')... | 0 | 0 | 0 | 0 | 0 | 2,903 | 0 | 95 | 289 |
5da6029a6ba369a85c387ca30d12077ef7203cee | 4,910 | py | Python | frontera/utils/tester.py | TeamHG-Memex/frontera | 06ab4002428528a2d8b67c1e82368cc5988b2228 | [
"BSD-3-Clause"
] | 3 | 2015-11-11T19:37:16.000Z | 2017-03-15T13:33:54.000Z | frontera/utils/tester.py | TeamHG-Memex/frontera | 06ab4002428528a2d8b67c1e82368cc5988b2228 | [
"BSD-3-Clause"
] | null | null | null | frontera/utils/tester.py | TeamHG-Memex/frontera | 06ab4002428528a2d8b67c1e82368cc5988b2228 | [
"BSD-3-Clause"
] | 2 | 2016-09-08T08:30:24.000Z | 2018-10-02T22:00:47.000Z | from __future__ import absolute_import
| 35.839416 | 111 | 0.58391 | from __future__ import absolute_import
from collections import OrderedDict, deque
from urlparse import urlparse
class FrontierTester(object):
def __init__(self, frontier, graph_manager, downloader_simulator, max_next_requests=0):
self.frontier = frontier
self.graph_manager = graph_manager
... | 0 | 0 | 0 | 4,726 | 0 | 0 | 0 | 29 | 114 |
f295231c2c5bcf4995f2f897318fddbc3bbf1400 | 1,209 | py | Python | get_tweets.py | gacarvalho/analyze-tweets-disney-plus | fd17c43c15bcaa1cc16501dfa7b3b620d12f3df5 | [
"MIT"
] | 3 | 2021-03-15T02:31:20.000Z | 2021-03-16T19:29:02.000Z | get_tweets.py | gacarvalho/analyze-tweets-disney-plus | fd17c43c15bcaa1cc16501dfa7b3b620d12f3df5 | [
"MIT"
] | null | null | null | get_tweets.py | gacarvalho/analyze-tweets-disney-plus | fd17c43c15bcaa1cc16501dfa7b3b620d12f3df5 | [
"MIT"
] | null | null | null | from tweepy import OAuthHandler, Stream #faz requisicao de tweets ao Twitter
from datetime import datetime
# CADASTRAR AS CHAVES DE ACESSO
consumer_key = "YGSFrzszgES6SFMtZTUghUhlw"
consumer_secret = "TITEr8yC97JPTaiG9flVZrGc8INvFkObHpznB6NnupabE3OKx2"
access_token = "1342352348497272833-J2FXw9MGDeiOQFSRLzsyJog94VO... | 30.225 | 93 | 0.751034 | import json
from tweepy import OAuthHandler, Stream, StreamListener #faz requisicao de tweets ao Twitter
from datetime import datetime
# CADASTRAR AS CHAVES DE ACESSO
consumer_key = "YGSFrzszgES6SFMtZTUghUhlw"
consumer_secret = "TITEr8yC97JPTaiG9flVZrGc8INvFkObHpznB6NnupabE3OKx2"
access_token = "134235234849727283... | 12 | 0 | 0 | 263 | 0 | 0 | 0 | 6 | 49 |
7f0687c914a7105497485044516ecd34881ec454 | 432 | py | Python | setup.py | jo-nas/pygitea | 0937d26dbd33523c728e2eefa80f327d952864a5 | [
"WTFPL"
] | null | null | null | setup.py | jo-nas/pygitea | 0937d26dbd33523c728e2eefa80f327d952864a5 | [
"WTFPL"
] | null | null | null | setup.py | jo-nas/pygitea | 0937d26dbd33523c728e2eefa80f327d952864a5 | [
"WTFPL"
] | 2 | 2019-01-04T18:43:34.000Z | 2021-10-18T17:43:25.000Z | #!/usr/env/bin python
from setuptools import setup
setup(
name='pygitea',
version='0.0.1',
description='Gitea API wrapper for python',
url='http://github.com/jo-nas/pygitea',
author='Jonas',
author_email='jonas@steinka.mp',
install_requires=[
'parse',
'requests'
],
... | 20.571429 | 47 | 0.618056 | #!/usr/env/bin python
from setuptools import setup
setup(
name='pygitea',
version='0.0.1',
description='Gitea API wrapper for python',
url='http://github.com/jo-nas/pygitea',
author='Jonas',
author_email='jonas@steinka.mp',
install_requires=[
'parse',
'requests'
],
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
25584d02d5183657403585eb275a864235199159 | 4,300 | py | Python | pybitup/pce/expan.py | jcoheur/pybitup | 6b31cbea7ae871a09aad154829eb85e599ce9214 | [
"MIT"
] | 2 | 2022-02-16T13:40:37.000Z | 2022-02-16T13:41:12.000Z | pybitup/pce/expan.py | jcoheur/pybitup | 6b31cbea7ae871a09aad154829eb85e599ce9214 | [
"MIT"
] | 2 | 2021-03-11T10:36:47.000Z | 2021-03-15T16:47:44.000Z | pybitup/pce/expan.py | jcoheur/pybitup | 6b31cbea7ae871a09aad154829eb85e599ce9214 | [
"MIT"
] | null | null | null | from .poly import polyrecur
from scipy import integrate
from .tools import printer
from copy import deepcopy
import numpy as np
# %% Polynomial Chaos
# %% Univariate Expansion
def transfo(invcdf,order,dist):
"""Maps an arbitrary random variable to another distribution"""
nbrPoly = order+1
coef = np.zero... | 27.564103 | 77 | 0.593721 | from .poly import polyrecur
from scipy import integrate
from .tools import printer
from copy import deepcopy
import numpy as np
# %% Polynomial Chaos
class Expansion:
"""Class of polynomial chaos expansion"""
def __init__(self,coef,poly):
coef = np.array(coef)
self.var = np.sum(coef[1:]**2,a... | 0 | 0 | 0 | 734 | 0 | 0 | 0 | 0 | 23 |
fed2b0bb7db552e26ad977eb89f8483ac69e83cb | 2,713 | py | Python | unb_cli/unb/version.py | jacktrades/unb-cli | 51cb451fc66352ca85ded03bfbc3bf01913f33ca | [
"MIT"
] | null | null | null | unb_cli/unb/version.py | jacktrades/unb-cli | 51cb451fc66352ca85ded03bfbc3bf01913f33ca | [
"MIT"
] | null | null | null | unb_cli/unb/version.py | jacktrades/unb-cli | 51cb451fc66352ca85ded03bfbc3bf01913f33ca | [
"MIT"
] | null | null | null | import subprocess
from clams import Command
from . import current_project
version = Command(
name='version',
title='Utilities for versioning and releases.',
description='Utilities for versioning and releases.',
)
def _get_version():
"""Read and return the project version number."""
from unb_cl... | 24.889908 | 80 | 0.62477 | import os
import subprocess
from clams import arg, Command
from . import current_project
version = Command(
name='version',
title='Utilities for versioning and releases.',
description='Utilities for versioning and releases.',
)
def _get_version():
"""Read and return the project version number."""
... | 0 | 1,501 | 0 | 0 | 0 | 0 | 0 | -7 | 137 |
6ee61b6e296d95c10f882a5b0e42f5f62e85b58e | 2,403 | py | Python | main/solutions/uncrossed_lines.py | techrabbit58/LeetCode30DaysMay2020Challenge | 3798c5ce104e806372922a73b5ba66b29fc51dbd | [
"Unlicense"
] | 1 | 2020-06-10T10:28:44.000Z | 2020-06-10T10:28:44.000Z | main/solutions/uncrossed_lines.py | techrabbit58/LeetCode30DaysMay2020Challenge | 3798c5ce104e806372922a73b5ba66b29fc51dbd | [
"Unlicense"
] | null | null | null | main/solutions/uncrossed_lines.py | techrabbit58/LeetCode30DaysMay2020Challenge | 3798c5ce104e806372922a73b5ba66b29fc51dbd | [
"Unlicense"
] | null | null | null | """
Week 4, Day 4: Uncrossed Lines
We write the integers of A and B (in the order they are given) on two separate horizontal lines.
Now, we may draw connecting lines: a straight line connecting two numbers A[i] and B[j] such that:
A[i] == B[j];
The line we draw does not intersect any other connecting (non-horiz... | 27 | 102 | 0.587599 | """
Week 4, Day 4: Uncrossed Lines
We write the integers of A and B (in the order they are given) on two separate horizontal lines.
Now, we may draw connecting lines: a straight line connecting two numbers A[i] and B[j] such that:
A[i] == B[j];
The line we draw does not intersect any other connecting (non-horiz... | 0 | 0 | 0 | 417 | 0 | 0 | 0 | 2 | 45 |
54978b7601bcb8c99b5e7286e3bb9ff5fe9e4e0d | 5,500 | py | Python | dpqueue.py | TouchTone/pyjsit | 52eb3eafdbab82c8ef6ba340eeaa5a7e6446a36f | [
"MIT",
"BSD-3-Clause"
] | 1 | 2015-05-22T21:26:51.000Z | 2015-05-22T21:26:51.000Z | dpqueue.py | TouchTone/pyjsit | 52eb3eafdbab82c8ef6ba340eeaa5a7e6446a36f | [
"MIT",
"BSD-3-Clause"
] | 6 | 2015-01-02T22:29:38.000Z | 2015-06-17T17:26:57.000Z | dpqueue.py | TouchTone/pyjsit | 52eb3eafdbab82c8ef6ba340eeaa5a7e6446a36f | [
"MIT",
"BSD-3-Clause"
] | null | null | null | #!/bin/python
# Priority queue that allows updating priorities
# Todo: don't do busy waiting...
import time
import Queue # Need to pull in exceptions
if __name__ == "__main__":
# Test...
print "Creating..."
dpq = DPQueue(maxsize = 5, prio = lambda e: e)
print "Empty:", dpq.empty()
... | 25.345622 | 65 | 0.467455 | #!/bin/python
# Priority queue that allows updating priorities
# Todo: don't do busy waiting...
import time
from heapq import * # Basic heap implementation
import Queue # Need to pull in exceptions
from tools import * # For RWLock
class DPQueue(object):
"""Thread-safe Priority queue that can update priorities... | 0 | 0 | 0 | 4,334 | 0 | 0 | 0 | -4 | 108 |
e690e30135a7c23fd19d28745ce8909768fa577a | 1,005 | py | Python | lottery_nums.py | ChangLuis/LearningSpider | 84c2a53e6d6a77c0f0281e1a06cd2d0602059786 | [
"MIT"
] | null | null | null | lottery_nums.py | ChangLuis/LearningSpider | 84c2a53e6d6a77c0f0281e1a06cd2d0602059786 | [
"MIT"
] | null | null | null | lottery_nums.py | ChangLuis/LearningSpider | 84c2a53e6d6a77c0f0281e1a06cd2d0602059786 | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup as BS
params = {"p1":"108001","p2":"108136","l":"0","type":"5"}
res = requests.post("http://www.9800.com.tw/trend.asp",data = params)
lottery_page = BS(res.text,"html.parser")
lottery_info = lottery_page.select("tbody")[4].select("td")
data = []
for i in range(le... | 33.5 | 101 | 0.614925 | import requests
from bs4 import BeautifulSoup as BS
params = {"p1":"108001","p2":"108136","l":"0","type":"5"}
res = requests.post("http://www.9800.com.tw/trend.asp",data = params)
lottery_page = BS(res.text,"html.parser")
lottery_info = lottery_page.select("tbody")[4].select("td")
data = []
for i in range(le... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
83d632003dc65364b9c3b47f315c7e542187635d | 1,081 | py | Python | cli/polyaxon/polyaxonfile/__init__.py | polyaxon/cli | 3543c0220a8a7c06fc9573cd2a740f8ae4930641 | [
"Apache-2.0"
] | null | null | null | cli/polyaxon/polyaxonfile/__init__.py | polyaxon/cli | 3543c0220a8a7c06fc9573cd2a740f8ae4930641 | [
"Apache-2.0"
] | 1 | 2022-01-24T11:26:47.000Z | 2022-03-18T23:17:58.000Z | cli/polyaxon/polyaxonfile/__init__.py | polyaxon/cli | 3543c0220a8a7c06fc9573cd2a740f8ae4930641 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2022 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 32.757576 | 74 | 0.778908 | #!/usr/bin/python
#
# Copyright 2018-2022 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 388 | 89 |
3a251362968be1df9abcf85907aac1648df9d37a | 4,644 | py | Python | artist/migrations/0001_initial.py | ssoumyajit/imgapi2 | b2129f1d35d55e093a3d96272686ac25ea2cf7bb | [
"MIT"
] | null | null | null | artist/migrations/0001_initial.py | ssoumyajit/imgapi2 | b2129f1d35d55e093a3d96272686ac25ea2cf7bb | [
"MIT"
] | null | null | null | artist/migrations/0001_initial.py | ssoumyajit/imgapi2 | b2129f1d35d55e093a3d96272686ac25ea2cf7bb | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-07-18 10:36
| 56.634146 | 152 | 0.594961 | # Generated by Django 3.1.7 on 2021-07-18 10:36
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.A... | 0 | 0 | 0 | 4,433 | 0 | 0 | 0 | 50 | 112 |
0aa6ca5cc6dffd6848eb3fad981099a2c3c93ae1 | 381 | py | Python | authtoken/migrations/0002_auto_20191020_1918.py | mentix02/Scrolls | b2df8b6061027dc9519e90740182a369356d9af9 | [
"Apache-2.0"
] | null | null | null | authtoken/migrations/0002_auto_20191020_1918.py | mentix02/Scrolls | b2df8b6061027dc9519e90740182a369356d9af9 | [
"Apache-2.0"
] | null | null | null | authtoken/migrations/0002_auto_20191020_1918.py | mentix02/Scrolls | b2df8b6061027dc9519e90740182a369356d9af9 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.6 on 2019-10-21 02:18
| 20.052632 | 52 | 0.593176 | # Generated by Django 2.2.6 on 2019-10-21 02:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('authtoken', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='authtoken',
name='valid',
... | 0 | 0 | 0 | 267 | 0 | 0 | 0 | 19 | 46 |
fa241ad9dc644dc2b7a8120eb7212cf85a481968 | 5,812 | py | Python | procrastinate/worker.py | marqov/procrastinate | 0d8ccd1af89f44804b155e395c72892d5d7be052 | [
"MIT"
] | null | null | null | procrastinate/worker.py | marqov/procrastinate | 0d8ccd1af89f44804b155e395c72892d5d7be052 | [
"MIT"
] | null | null | null | procrastinate/worker.py | marqov/procrastinate | 0d8ccd1af89f44804b155e395c72892d5d7be052 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 33.402299 | 86 | 0.580351 | import asyncio
import logging
import time
from typing import Iterable, NoReturn, Optional, Set
from procrastinate import app, exceptions, jobs, signals, tasks, types
logger = logging.getLogger(__name__)
class Worker:
def __init__(
self,
app: app.App,
queues: Optional[Iterable[str]] = Non... | 0 | 0 | 3,699 | 1,884 | 0 | 0 | 0 | 63 | 112 |
e2a046744c1d193808431b848191976487b18e52 | 2,539 | py | Python | sample/tensorflow/utils/dump_model.py | dujiangsu/FasterTransformer | 0648b8839be02eafba1cdba511a41b4fd13e2c9e | [
"Apache-2.0"
] | 777 | 2021-04-05T07:45:07.000Z | 2022-03-31T20:40:00.000Z | sample/tensorflow/utils/dump_model.py | dujiangsu/FasterTransformer | 0648b8839be02eafba1cdba511a41b4fd13e2c9e | [
"Apache-2.0"
] | 119 | 2021-04-05T08:31:18.000Z | 2022-03-31T04:50:25.000Z | sample/tensorflow/utils/dump_model.py | dujiangsu/FasterTransformer | 0648b8839be02eafba1cdba511a41b4fd13e2c9e | [
"Apache-2.0"
] | 135 | 2021-04-05T09:12:42.000Z | 2022-03-31T09:36:58.000Z | # Copyright (c) 2020, NVIDIA CORPORATION. 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 appli... | 48.826923 | 164 | 0.745175 | # Copyright (c) 2020, NVIDIA CORPORATION. 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 appli... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
f1d43560ee9559740ede8d999987b9b115e0f92b | 640 | py | Python | shell/DBphoto.py | tomorrow00/TutorWeb | a5b41ab6f6ae2d92e5fd7e6e1290f11c65a8f93c | [
"MIT"
] | null | null | null | shell/DBphoto.py | tomorrow00/TutorWeb | a5b41ab6f6ae2d92e5fd7e6e1290f11c65a8f93c | [
"MIT"
] | null | null | null | shell/DBphoto.py | tomorrow00/TutorWeb | a5b41ab6f6ae2d92e5fd7e6e1290f11c65a8f93c | [
"MIT"
] | null | null | null | # coding=utf8
import MySQLdb
conn = MySQLdb.connect(
host='localhost',
user='root',
passwd='123456',
db='TeacherSchema'
)
cur = conn.cursor()
cur.execute("SELECT COUNT(Teacher_Name) FROM Teacher;")
count = cur.fetchall()
count = count[0][0]
print count
for i in range(count):
try:
sql = "SELECT Teacher_Photo F... | 21.333333 | 107 | 0.679688 | # coding=utf8
import MySQLdb
conn = MySQLdb.connect(
host='localhost',
user='root',
passwd='123456',
db='TeacherSchema'
)
cur = conn.cursor()
cur.execute("SELECT COUNT(Teacher_Name) FROM Teacher;")
count = cur.fetchall()
count = count[0][0]
print count
for i in range(count):
try:
sql = "SELECT Teacher_Photo F... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1a0096f3d4f2fb673a71b4ab030c43b567b17b2e | 307 | py | Python | tools/convert_mp3_to_wav.py | StasYazykov/alien-invasion | 7c49bc446ed9b9576ea041621368573d95871ba8 | [
"MIT"
] | null | null | null | tools/convert_mp3_to_wav.py | StasYazykov/alien-invasion | 7c49bc446ed9b9576ea041621368573d95871ba8 | [
"MIT"
] | null | null | null | tools/convert_mp3_to_wav.py | StasYazykov/alien-invasion | 7c49bc446ed9b9576ea041621368573d95871ba8 | [
"MIT"
] | null | null | null | """
Setup FFMPEG before!!!
https://www.ffmpeg.org/download.html#build-windows
"""
from pydub import AudioSegment
names = [
'shot',
'explosion',
'explosion_1'
]
for name in names:
sound = AudioSegment.from_mp3(f"../sound/{name}.mp3")
sound.export(f"../sound/{name}.wav", format="wav")
| 18.058824 | 57 | 0.648208 | """
Setup FFMPEG before!!!
https://www.ffmpeg.org/download.html#build-windows
"""
from pydub import AudioSegment
names = [
'shot',
'explosion',
'explosion_1'
]
for name in names:
sound = AudioSegment.from_mp3(f"../sound/{name}.mp3")
sound.export(f"../sound/{name}.wav", format="wav")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22ae72eaf75e41f64668915c1d15c92c926eda75 | 412 | py | Python | DegenerateArrow/home/urls.py | Asura0528/Degenerate-arrow | 7f624027dbfd9345ddcf51bcdc2a5e7161e44f2e | [
"MIT"
] | 1 | 2021-10-20T16:19:15.000Z | 2021-10-20T16:19:15.000Z | DegenerateArrow/home/urls.py | Asura0528/Degenerate-arrow | 7f624027dbfd9345ddcf51bcdc2a5e7161e44f2e | [
"MIT"
] | null | null | null | DegenerateArrow/home/urls.py | Asura0528/Degenerate-arrow | 7f624027dbfd9345ddcf51bcdc2a5e7161e44f2e | [
"MIT"
] | null | null | null | from django.urls import path
from home.views import IndexView, BlogView, DetailView, ToolView, ToolDetailView
urlpatterns = [
path('', IndexView.as_view(), name='index'),
path('blog/', BlogView.as_view(), name='blog'),
path('detail/', DetailView.as_view(), name='detail'),
path('tool/', ToolView.as_view... | 412 | 412 | 0.684466 | from django.urls import path
from home.views import IndexView, BlogView, DetailView, ToolView, ToolDetailView
urlpatterns = [
path('', IndexView.as_view(), name='index'),
path('blog/', BlogView.as_view(), name='blog'),
path('detail/', DetailView.as_view(), name='detail'),
path('tool/', ToolView.as_view... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
74f037f90d6edb2f81051ab3b8942e1ed02b9f66 | 23,029 | py | Python | reconbf/lib/result.py | fallenpegasus/reconbf | bfd15bef549f011a3de885c3267d4f718223b798 | [
"Apache-2.0"
] | 45 | 2016-08-12T21:37:25.000Z | 2022-03-29T00:21:29.000Z | reconbf/lib/result.py | fallenpegasus/reconbf | bfd15bef549f011a3de885c3267d4f718223b798 | [
"Apache-2.0"
] | 20 | 2016-08-11T07:42:28.000Z | 2016-09-09T13:33:47.000Z | reconbf/lib/result.py | fallenpegasus/reconbf | bfd15bef549f011a3de885c3267d4f718223b798 | [
"Apache-2.0"
] | 6 | 2016-08-25T06:31:38.000Z | 2019-09-11T04:29:36.000Z | # Copyright 2016 Hewlett Packard Enterprise Development LP
#
# 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... | 33.472384 | 79 | 0.575058 | # Copyright 2016 Hewlett Packard Enterprise Development LP
#
# 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... | 0 | 775 | 0 | 12,719 | 0 | 2,118 | 0 | -19 | 363 |
73e47859588e3406311a660531152a4ee31a01fc | 1,559 | py | Python | tests/test_dicomexplorer.py | rbrecheisen/barbell2 | 19d8c6aa6ddd1b730bb257fadbeacf2d1ac79fd6 | [
"MIT"
] | null | null | null | tests/test_dicomexplorer.py | rbrecheisen/barbell2 | 19d8c6aa6ddd1b730bb257fadbeacf2d1ac79fd6 | [
"MIT"
] | null | null | null | tests/test_dicomexplorer.py | rbrecheisen/barbell2 | 19d8c6aa6ddd1b730bb257fadbeacf2d1ac79fd6 | [
"MIT"
] | null | null | null |
COHORT_DIR = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC'
COHORT_DCM_FILE = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC/003001_pre_PV_L3.dcm'
COHORT_TAG_FILE = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC/... | 28.87037 | 121 | 0.788326 | import os
import pytest
from barbell2.dicomexplorer.dicomexplorer import DicomExplorer
COHORT_DIR = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC'
COHORT_DCM_FILE = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC/003001_pre_PV_L3.dcm'
COHORT_TAG_F... | 0 | 37 | 0 | 0 | 0 | 789 | 0 | 21 | 251 |
f0ba11440a57c43e54a9e22ec22969028fa20fb2 | 11,936 | py | Python | nuitka/codegen/ConstantCodes.py | timgates42/Nuitka | 536f39e37d8657ec750304bb1a93ccb19d1942af | [
"Apache-2.0"
] | 1 | 2020-12-20T19:01:50.000Z | 2020-12-20T19:01:50.000Z | nuitka/codegen/ConstantCodes.py | timgates42/Nuitka | 536f39e37d8657ec750304bb1a93ccb19d1942af | [
"Apache-2.0"
] | 1 | 2021-01-05T09:01:31.000Z | 2021-01-05T09:01:31.000Z | nuitka/codegen/ConstantCodes.py | timgates42/Nuitka | 536f39e37d8657ec750304bb1a93ccb19d1942af | [
"Apache-2.0"
] | null | null | null | # Copyright 2020, Kay Hayen, mailto:kay.hayen@gmail.com
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | 31.829333 | 86 | 0.654742 | # Copyright 2020, Kay Hayen, mailto:kay.hayen@gmail.com
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | 0 | 0 | 0 | 0 | 0 | 2,918 | 0 | 82 | 46 |
11a710eb349bd4e2f77184f27918df7983003cf1 | 12,909 | py | Python | Digital-Games/Mud-Online-Game/server/Server.py | wolganens/Computer-Science | a840a1a9656711aaacc873a8a06075ffd322a0d2 | [
"MIT"
] | 1 | 2018-09-01T14:03:28.000Z | 2018-09-01T14:03:28.000Z | Digital-Games/Mud-Online-Game/server/Server.py | wolganens/Computer-Science | a840a1a9656711aaacc873a8a06075ffd322a0d2 | [
"MIT"
] | null | null | null | Digital-Games/Mud-Online-Game/server/Server.py | wolganens/Computer-Science | a840a1a9656711aaacc873a8a06075ffd322a0d2 | [
"MIT"
] | null | null | null | global commands
commands = dict({
"room" : "Exibe a sala atual",
"move <n(north), s(south), e(east), w(weast)>" : "Move o personagem para a direo desejada",
"get_item <nome do item>" : "Pega um item do mapa e coloca no inventrio",
"inventory" : "Exibe os itens do inventrio",
"npc <nome do npc>" : "I... | 40.340625 | 97 | 0.607173 | import socket
import threading
import socketserver
from Player import Player
from Account import Account
from World import World
import re
from copy import deepcopy
global commands
commands = dict({
"room" : "Exibe a sala atual",
"move <n(north), s(south), e(east), w(weast)>" : "Move o personagem para a direção... | 132 | 0 | 0 | 11,893 | 0 | 0 | 0 | -11 | 244 |
d8669915ac9546e5d8f8a0c550f88c0e0634fe77 | 3,805 | py | Python | wicarproject/utilities/flask_tracking/__init__.py | todhm/wicarproject | 5a3ea7b70ba6649af75d9e9bb49683eb6f94b570 | [
"MIT"
] | 1 | 2018-04-20T04:58:50.000Z | 2018-04-20T04:58:50.000Z | wicarproject/utilities/flask_tracking/__init__.py | todhm/wicarproject | 5a3ea7b70ba6649af75d9e9bb49683eb6f94b570 | [
"MIT"
] | 7 | 2021-02-08T20:24:49.000Z | 2022-03-11T23:26:33.000Z | wicarproject/utilities/flask_tracking/__init__.py | todhm/wicarproject | 5a3ea7b70ba6649af75d9e9bb49683eb6f94b570 | [
"MIT"
] | null | null | null |
try:
from flask_login import current_user
except ImportError:
current_user = None
| 35.231481 | 134 | 0.607884 | import mongoengine
import datetime
import re
import socket
import time
from bson.errors import InvalidStringData
from flask import request
from utilities.flask_tracking import documents
from utilities.flask_tracking.utils import WSGICopyBody
from mongoengine import Document
try:
from flask_login import current_u... | 0 | 0 | 0 | 3,414 | 0 | 0 | 0 | 55 | 245 |
7d536dcdc033935a32c24f2588b7481cf9d479c9 | 2,456 | py | Python | test/TEX/multi-line_include_options.py | azverkan/scons | 704ddb9270e14c7771d0c58c04c7afa7bc009603 | [
"MIT"
] | 1 | 2015-11-04T22:22:10.000Z | 2015-11-04T22:22:10.000Z | test/TEX/multi-line_include_options.py | azverkan/scons | 704ddb9270e14c7771d0c58c04c7afa7bc009603 | [
"MIT"
] | null | null | null | test/TEX/multi-line_include_options.py | azverkan/scons | 704ddb9270e14c7771d0c58c04c7afa7bc009603 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# __COPYRIGHT__
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
... | 26.989011 | 73 | 0.738192 | #!/usr/bin/env python
#
# __COPYRIGHT__
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
620be75e82b5a7d7986470b1668de1f914065e28 | 2,600 | py | Python | plots/correlation_matrices/plot.py | manuel-rhdt/master-thesis | 51806aabefaa66a06bf895cac248fe3bffb04ba7 | [
"MIT"
] | null | null | null | plots/correlation_matrices/plot.py | manuel-rhdt/master-thesis | 51806aabefaa66a06bf895cac248fe3bffb04ba7 | [
"MIT"
] | null | null | null | plots/correlation_matrices/plot.py | manuel-rhdt/master-thesis | 51806aabefaa66a06bf895cac248fe3bffb04ba7 | [
"MIT"
] | null | null | null | from matplotlib import pyplot
import seaborn as sns
lamda = 0.005
kappa = 0.25
rho = 0.01
mu = 0.01
data = []
for n_dim in [10, 80, 640]:
for dt in [1, 8, 64]:
t = time_matrix(n_dim, dt)
c_z = corr_z(t, rho, mu, lamda, kappa)
data.append({'n_dim': n_dim, 'dt': dt, 'correlation': c_... | 36.111111 | 162 | 0.625 | import numpy as np
from matplotlib import pyplot
from matplotlib.colors import Normalize
from scipy import stats
from scipy.special import logsumexp
from IPython.display import Markdown
import seaborn as sns
lamda = 0.005
kappa = 0.25
rho = 0.01
mu = 0.01
def sigma_ss(rho, mu, lamda, kappa):
return kappa / lamda
... | 0 | 0 | 0 | 0 | 0 | 1,458 | 0 | 46 | 386 |
960c902ece9d890e0669ec62dd52657bef659357 | 9,195 | py | Python | py_dev_hammer/github_status_posting.py | declankeyesbevan/py-dev-hammer | 6e5c8a0d35f70a082ec32aa94d01b15dfd8c440b | [
"MIT"
] | 2 | 2019-04-18T21:51:18.000Z | 2019-06-17T11:23:15.000Z | py_dev_hammer/github_status_posting.py | declankeyesbevan/py-dev-hammer | 6e5c8a0d35f70a082ec32aa94d01b15dfd8c440b | [
"MIT"
] | null | null | null | py_dev_hammer/github_status_posting.py | declankeyesbevan/py-dev-hammer | 6e5c8a0d35f70a082ec32aa94d01b15dfd8c440b | [
"MIT"
] | null | null | null | """
This carries out dynamic and static code analysis and POSTs the results to GitHub as statuses.
Without passing statuses, a pull request cannot be merged. Dynamic tests require 100% passing to be
considered a success. The static tests are informational only and will always generate success if
they run correctly.
"""... | 38.634454 | 100 | 0.698314 | """
This carries out dynamic and static code analysis and POSTs the results to GitHub as statuses.
Without passing statuses, a pull request cannot be merged. Dynamic tests require 100% passing to be
considered a success. The static tests are informational only and will always generate success if
they run correctly.
"""... | 0 | 0 | 0 | 0 | 0 | 6,992 | 0 | 99 | 409 |
ce6cbf92c0572ce7bcc5fb50fce0e547805db9c4 | 1,647 | py | Python | solutions/057_insert_interval.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | solutions/057_insert_interval.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | solutions/057_insert_interval.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | # Given a set of non-overlapping intervals, insert a new interval into the intervals (merge if necessary).
# You may assume that the intervals were initially sorted according to their start times.
# Example 1:
# Given intervals [1,3],[6,9], insert and merge [2,5] in as [1,5],[6,9].
# Example 2:
# Given [1,2],[3,5],[... | 36.6 | 106 | 0.603522 | # Given a set of non-overlapping intervals, insert a new interval into the intervals (merge if necessary).
# You may assume that the intervals were initially sorted according to their start times.
# Example 1:
# Given intervals [1,3],[6,9], insert and merge [2,5] in as [1,5],[6,9].
# Example 2:
# Given [1,2],[3,5],[... | 0 | 0 | 0 | 1,021 | 0 | 0 | 0 | 0 | 23 |
33f5e2f04ac8ce4f293dcba5be9901a24c497140 | 7,963 | py | Python | helical_thread/helicalthread.py | winksaville/py-helical-thread | b1f98a6a1af48f7f6d277918c6d0237c8b85241a | [
"MIT"
] | null | null | null | helical_thread/helicalthread.py | winksaville/py-helical-thread | b1f98a6a1af48f7f6d277918c6d0237c8b85241a | [
"MIT"
] | 2 | 2020-10-08T22:07:14.000Z | 2020-10-13T00:33:06.000Z | helical_thread/helicalthread.py | winksaville/py-helical-thread | b1f98a6a1af48f7f6d277918c6d0237c8b85241a | [
"MIT"
] | null | null | null | from math import radians, sin, tan
from taperable_helix import HelixLocation
def helical_thread(ht: HelicalThread) -> ThreadHelixes:
"""
Given HelicalThread compute the internal and external
helixes thread and returning them in ThreadHelixes.
int_hexlix_radius, int_helixes, ext_helix_radius and ext... | 36.527523 | 258 | 0.717192 | from copy import deepcopy
from dataclasses import dataclass, field
from math import degrees, radians, sin, tan
from typing import List
from taperable_helix import Helix, HelixLocation
@dataclass
class HelicalThread(Helix):
"""
A set of fields used to represent a helical thread and passed as
the parameter... | 0 | 1,316 | 0 | 0 | 0 | 0 | 0 | 41 | 112 |
b25e69fc38d8825c19795cba3e5542aaaa90721e | 871 | py | Python | restapi/tests/test_db.py | nataliyah123/phageParser | bc05d76c23d37ee80ffa2bbf6e7e977341bab3ee | [
"MIT"
] | 65 | 2017-05-10T15:26:18.000Z | 2022-03-07T07:10:12.000Z | restapi/tests/test_db.py | nataliyah123/phageParser | bc05d76c23d37ee80ffa2bbf6e7e977341bab3ee | [
"MIT"
] | 143 | 2017-03-22T22:55:16.000Z | 2020-02-13T15:52:03.000Z | restapi/tests/test_db.py | nataliyah123/phageParser | bc05d76c23d37ee80ffa2bbf6e7e977341bab3ee | [
"MIT"
] | 44 | 2017-03-22T20:47:16.000Z | 2022-03-15T21:45:12.000Z |
# Create your tests here.
| 24.194444 | 67 | 0.732491 | import pytest
# Create your tests here.
from restapi.models import Organism, Repeat
@pytest.fixture
def organism():
organism_name = "Organism Name"
accession_number = "NC_000000"
return Organism(name=organism_name, accession=accession_number)
@pytest.mark.django_db
def test_model_can_create_an_organism... | 0 | 690 | 0 | 0 | 0 | 0 | 0 | 14 | 136 |
36ad03578fbd4cf456a34a1ca1fb206bbfdf9321 | 3,596 | py | Python | training/threshold_launch_all.py | waliens/weakseg | dbd02d2729ae998d89bce0e5585a8144351f1feb | [
"MIT"
] | null | null | null | training/threshold_launch_all.py | waliens/weakseg | dbd02d2729ae998d89bce0e5585a8144351f1feb | [
"MIT"
] | null | null | null | training/threshold_launch_all.py | waliens/weakseg | dbd02d2729ae998d89bce0e5585a8144351f1feb | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
import sys
main(sys.argv[1:])
| 35.254902 | 138 | 0.587875 | import logging
import os
from clustertools import set_stdout_logging, ParameterSet, Experiment
from clustertools.storage import PickleStorage
from generic_threshold import TuneThresholdComputation
from train_monuseg_selftrain_clustertools import env_parser
def launch(exp_name, comp_indexes, **env_params):
thres... | 0 | 0 | 0 | 0 | 0 | 3,197 | 0 | 125 | 203 |
a75a263ae3275978f244dc8bac27acb2d3601033 | 2,840 | py | Python | bb.py | xufuzhi/crnn_pytorch | 0e07d1269339101f147a0d83bb41a006cd0406d9 | [
"MIT"
] | null | null | null | bb.py | xufuzhi/crnn_pytorch | 0e07d1269339101f147a0d83bb41a006cd0406d9 | [
"MIT"
] | null | null | null | bb.py | xufuzhi/crnn_pytorch | 0e07d1269339101f147a0d83bb41a006cd0406d9 | [
"MIT"
] | null | null | null | import lmdb
import numpy as np
import cv2 as cv
import time
import os
from os.path import sep as path_sep
from os.path import join as path_join
import torch
import torch.nn as nn
path = '/home/xfz/Projects/PycharmProjects/TextRecognitionDataGenerator-master/trdg/out'
f_nameList = os.listdir(path)
for n in f_nameLis... | 24.912281 | 104 | 0.554225 | import lmdb
import numpy as np
import cv2 as cv
from itertools import islice
import time
import os
from os.path import sep as path_sep
from os.path import join as path_join
import torch
import torch.nn as nn
import torchvision
path = '/home/xfz/Projects/PycharmProjects/TextRecognitionDataGenerator-master/trdg/out'
... | 168 | 163 | 0 | 70 | 0 | 0 | 0 | 4 | 67 |
871bd408f6825032da50b04b58cfe9556b0affbf | 5,657 | py | Python | tasks.py | kkuuba/RemoteDownloadApp | 3309413cc103dbdb8846bc04d956f25417aae65e | [
"MIT"
] | null | null | null | tasks.py | kkuuba/RemoteDownloadApp | 3309413cc103dbdb8846bc04d956f25417aae65e | [
"MIT"
] | null | null | null | tasks.py | kkuuba/RemoteDownloadApp | 3309413cc103dbdb8846bc04d956f25417aae65e | [
"MIT"
] | null | null | null | import os
threads = [] # all threads list
tasks_list = [] # all tasks list
def start_received_request_action(data):
"""
Main function which extract task type and start proper action. Then return response.
:param data:
:return: response string
"""
if data["action"] == "check_status":
... | 33.473373 | 112 | 0.586707 | import youtube_dl
import datetime
import threading
import requests
import re
import time
import os
threads = [] # all threads list
tasks_list = [] # all tasks list
def start_received_request_action(data):
"""
Main function which extract task type and start proper action. Then return response.
:param d... | 0 | 0 | 0 | 4,255 | 0 | 0 | 0 | -43 | 155 |
0afd0f3258f5d2d8989f155e6e423b8f0d31ea32 | 1,478 | py | Python | python/hongong/ch07/07_1.py | gangserver/py_test | 869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4 | [
"Apache-2.0"
] | null | null | null | python/hongong/ch07/07_1.py | gangserver/py_test | 869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4 | [
"Apache-2.0"
] | null | null | null | python/hongong/ch07/07_1.py | gangserver/py_test | 869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4 | [
"Apache-2.0"
] | null | null | null | from tensorflow import keras
import matplotlib.pyplot as plt
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import cross_validate
import numpy as np
from sklearn.model_selection import train_test_split
(train_input, train_target), (test_input, test_target) =\
keras.datasets.fashion_mn... | 30.163265 | 80 | 0.780108 | from tensorflow import keras
import matplotlib.pyplot as plt
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import cross_validate
import numpy as np
from sklearn.model_selection import train_test_split
(train_input, train_target), (test_input, test_target) =\
keras.datasets.fashion_mn... | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9819c7b7eb6bafe32bbed7d5ce5ac16f938ab47b | 3,731 | py | Python | src/plasmid_verification/infrastructure/service/error_probability_sample_trimming_service.py | Midnighter/plasmid_verification | 844b38047b1bf19fa9903299a1e6470583b9c3d5 | [
"Apache-2.0"
] | null | null | null | src/plasmid_verification/infrastructure/service/error_probability_sample_trimming_service.py | Midnighter/plasmid_verification | 844b38047b1bf19fa9903299a1e6470583b9c3d5 | [
"Apache-2.0"
] | null | null | null | src/plasmid_verification/infrastructure/service/error_probability_sample_trimming_service.py | Midnighter/plasmid_verification | 844b38047b1bf19fa9903299a1e6470583b9c3d5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021, Moritz E. Beber.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 34.869159 | 87 | 0.629322 | # Copyright (c) 2021, Moritz E. Beber.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 0 | 2,663 | 0 | 210 | 0 | 0 | 0 | 79 | 114 |
a8e2f087a78a168da5dd007f37155dde5ccd18b0 | 190 | py | Python | other/cap_huaxia_fund.py | thedestiny/fund_python | 20f55a6b40e70cf9217c9406375653d8aea093d1 | [
"Apache-2.0"
] | 1 | 2022-02-14T02:58:02.000Z | 2022-02-14T02:58:02.000Z | other/cap_huaxia_fund.py | thedestiny/fund_python | 20f55a6b40e70cf9217c9406375653d8aea093d1 | [
"Apache-2.0"
] | null | null | null | other/cap_huaxia_fund.py | thedestiny/fund_python | 20f55a6b40e70cf9217c9406375653d8aea093d1 | [
"Apache-2.0"
] | null | null | null | import requests
req_url = "https://www.chinaamc.com/indexfundvalue.js"
response = requests.get(req_url)
print(response.apparent_encoding)
response.encoding = "UTF-8"
print(response.text) | 19 | 54 | 0.784211 | import requests
req_url = "https://www.chinaamc.com/indexfundvalue.js"
response = requests.get(req_url)
print(response.apparent_encoding)
response.encoding = "UTF-8"
print(response.text) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3598ca72244cf9a4dc7bdfd6299f529aa2bb2a1e | 7,291 | py | Python | alsaloop.py | loichu/alsaloop | dfeca261e2723f594309ea3e585f93eb34cd28b6 | [
"MIT"
] | null | null | null | alsaloop.py | loichu/alsaloop | dfeca261e2723f594309ea3e585f93eb34cd28b6 | [
"MIT"
] | null | null | null | alsaloop.py | loichu/alsaloop | dfeca261e2723f594309ea3e585f93eb34cd28b6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
Copyright (c) 2020 Modul 9/HiFiBerry
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, me... | 35.740196 | 117 | 0.656289 | #!/usr/bin/env python
'''
Copyright (c) 2020 Modul 9/HiFiBerry
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, me... | 0 | 0 | 0 | 0 | 0 | 826 | 0 | 0 | 92 |
a2472b8255a2d5c90e168c0d65b74bc731052a7c | 4,485 | py | Python | transaction-processor/handler/car.py | mayankmk14/Manufacturing | 2b8893210e2443ea04afa2f696f6ffbaf0f2a568 | [
"MIT"
] | null | null | null | transaction-processor/handler/car.py | mayankmk14/Manufacturing | 2b8893210e2443ea04afa2f696f6ffbaf0f2a568 | [
"MIT"
] | null | null | null | transaction-processor/handler/car.py | mayankmk14/Manufacturing | 2b8893210e2443ea04afa2f696f6ffbaf0f2a568 | [
"MIT"
] | null | null | null | import logging
import handler.utils as utils
LOGGER = logging.getLogger(__name__) | 44.405941 | 147 | 0.759866 | import logging
import hashlib
import assets_pb2 as assets
from sawtooth_sdk.processor.exceptions import InvalidTransaction
import handler.addressing as Addressing
import handler.utils as utils
LOGGER = logging.getLogger(__name__)
def create_car(payloadobj,signer,context,txId):
formDetails = payloadobj.car
LO... | 0 | 0 | 0 | 0 | 0 | 4,232 | 0 | 60 | 111 |
6f2fae3b336ae14b5b9a45e248451090f7ad2b91 | 1,825 | py | Python | archived/misc/post-processor/archive/lh.py | XiaoxiongXie/WRF-SUEWS | 51f8d2359b394016e65121f3baab908b1ad4d89c | [
"MIT"
] | 2 | 2020-09-24T09:15:31.000Z | 2020-09-28T16:16:30.000Z | archived/misc/post-processor/archive/lh.py | XiaoxiongXie/WRF-SUEWS | 51f8d2359b394016e65121f3baab908b1ad4d89c | [
"MIT"
] | 3 | 2020-09-24T13:46:24.000Z | 2020-10-01T09:54:17.000Z | archived/misc/post-processor/archive/lh.py | XiaoxiongXie/WRF-SUEWS | 51f8d2359b394016e65121f3baab908b1ad4d89c | [
"MIT"
] | 2 | 2020-10-01T09:46:58.000Z | 2022-01-09T10:38:21.000Z | #!/usr/bin/env python
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import cartopy.crs as crs
from cartopy.feature import NaturalEarthFeature
from wrf import ALL_TIMES, to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords
# Open the NetCDF fi... | 30.932203 | 106 | 0.737534 | #!/usr/bin/env python
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import cartopy.crs as crs
from cartopy.feature import NaturalEarthFeature
from wrf import ALL_TIMES, to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords
# Open the NetCDF fi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6dbd2946d5141f0060344f537b12a753d0d1316c | 9,055 | py | Python | app.py | Aarrtteemm123/Shopping-list | 38b2143df69408d7502e8d588c5a479f295a7d9c | [
"MIT"
] | null | null | null | app.py | Aarrtteemm123/Shopping-list | 38b2143df69408d7502e8d588c5a479f295a7d9c | [
"MIT"
] | null | null | null | app.py | Aarrtteemm123/Shopping-list | 38b2143df69408d7502e8d588c5a479f295a7d9c | [
"MIT"
] | null | null | null |
MyApp().run()
| 40.424107 | 113 | 0.622529 | from kivy.storage.jsonstore import JsonStore
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.screenmanager import Screen
from kivymd.app import MDApp
from kivy.lang import Builder
from kivymd.uix.button import MDFlatButton, MDFloatingActionButton
from kivymd.uix.dialo... | 0 | 0 | 0 | 8,422 | 0 | 0 | 0 | 231 | 380 |
45c8c3839ce9fa0eb07689fae3e47641138f8273 | 3,976 | py | Python | client.py | chvia223/python-networking | 5016bac16be534cb99557414c46bd24e17bd44cc | [
"MIT"
] | null | null | null | client.py | chvia223/python-networking | 5016bac16be534cb99557414c46bd24e17bd44cc | [
"MIT"
] | null | null | null | client.py | chvia223/python-networking | 5016bac16be534cb99557414c46bd24e17bd44cc | [
"MIT"
] | null | null | null | import socket
HEADER = 64
PORT = 5050
FORMAT = 'utf-8'
DISCONNECT_MESSAGE = "!DISCONNECT"
# SERVER = socket.gethostbyname(socket.gethostname())
SERVER = "192.168.0.155"
ADDR = (SERVER, PORT)
"""
Calls track search endpoint and populates a dictionary with results.
"""
try:
client = socket.socket(socket.AF_I... | 32.064516 | 120 | 0.584759 | from multiprocessing.sharedctypes import Value
import socket
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
HEADER = 64
PORT = 5050
FORMAT = 'utf-8'
DISCONNECT_MESSAGE = "!DISCONNECT"
# SERVER = socket.gethostbyname(socket.gethostname())
SERVER = "192.168.0.155"
ADDR = (SERVER, PORT)
def init_cl... | 0 | 0 | 0 | 0 | 0 | 3,226 | 0 | 48 | 183 |
2b659a95e79523dc6dbc454ebe70ac949c0e88ad | 178 | py | Python | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task4.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task4.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task4.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | '''4. Write a Python program to generate groups of five consecutive numbers in a list. '''
l = [[5*i + j for j in range(1,6)] for i in range(5)]
print(l)
#Reference: w3resource | 29.666667 | 90 | 0.679775 | '''4. Write a Python program to generate groups of five consecutive numbers in a list. '''
l = [[5*i + j for j in range(1,6)] for i in range(5)]
print(l)
#Reference: w3resource | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4f54f2ccd5f215b846830ebda095fb62b67d6fdf | 12,147 | py | Python | kursl/mcmc.py | laszukdawid/KurSL | 2d7427a71d01f1599c2626da2359f9e495fa4d7e | [
"Apache-2.0"
] | 3 | 2018-01-24T20:10:47.000Z | 2020-01-06T23:27:14.000Z | kursl/mcmc.py | laszukdawid/KurSL | 2d7427a71d01f1599c2626da2359f9e495fa4d7e | [
"Apache-2.0"
] | 1 | 2018-01-12T05:24:13.000Z | 2018-01-12T05:47:11.000Z | kursl/mcmc.py | laszukdawid/KurSL | 2d7427a71d01f1599c2626da2359f9e495fa4d7e | [
"Apache-2.0"
] | 1 | 2020-01-06T23:27:17.000Z | 2020-01-06T23:27:17.000Z | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: laszukdawid@gmail.com
#
# Feel free to contact for any information.
from __future__ import division, print_function
import logging
import numpy as np
from .kursl_model import KurSL
# End of Class
######################################
# Exaple us... | 32.392 | 103 | 0.56162 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: laszukdawid@gmail.com
#
# Feel free to contact for any information.
from __future__ import division, print_function
import emcee
import logging
import numpy as np
import time, datetime
from .kursl_model import KurSL
from .model import ModelWrapper
... | 0 | 2,520 | 0 | 7,274 | 0 | 0 | 0 | 1 | 90 |
8041258dfbf3834cf80dcf7d8b33d6f06534a88f | 2,941 | py | Python | gpu_bestbuy.py | elithaxxor/gpu_scraper | 065f33facadaf0bce9e6b5a4b95d1895b340058f | [
"MIT"
] | null | null | null | gpu_bestbuy.py | elithaxxor/gpu_scraper | 065f33facadaf0bce9e6b5a4b95d1895b340058f | [
"MIT"
] | null | null | null | gpu_bestbuy.py | elithaxxor/gpu_scraper | 065f33facadaf0bce9e6b5a4b95d1895b340058f | [
"MIT"
] | null | null | null | 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 info
# make sure this path is correct
PATH = "C:\Program Files (x86)\ChromeDriver\chromedriver.exe"
driver = webdr... | 34.6 | 173 | 0.66202 | 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 info
# make sure this path is correct
PATH = "C:\Program Files (x86)\ChromeDriver\chromedriver.exe"
driver = webdr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac0785eb6e8f573fd60308c40a0160d7225b62f0 | 15,306 | py | Python | aws-network-firewall/operations.py | cs-shivaji-kolape/connector-aws-network-firewall | dea59e7bb3c434cf7b3c83764b0a3929071510c9 | [
"MIT"
] | null | null | null | aws-network-firewall/operations.py | cs-shivaji-kolape/connector-aws-network-firewall | dea59e7bb3c434cf7b3c83764b0a3929071510c9 | [
"MIT"
] | null | null | null | aws-network-firewall/operations.py | cs-shivaji-kolape/connector-aws-network-firewall | dea59e7bb3c434cf7b3c83764b0a3929071510c9 | [
"MIT"
] | 1 | 2021-12-17T08:28:33.000Z | 2021-12-17T08:28:33.000Z | """ Copyright start
Copyright (C) 2008 - 2021 Fortinet Inc.
All rights reserved.
FORTINET CONFIDENTIAL & FORTINET PROPRIETARY SOURCE CODE
Copyright end """
from connectors.core.connector import get_logger
logger = get_logger('aws-network-firewall')
TEMP_CRED_ENDPOINT = 'http://169.254.169.254/latest/meta-data... | 36.705036 | 117 | 0.650725 | """ Copyright start
Copyright (C) 2008 - 2021 Fortinet Inc.
All rights reserved.
FORTINET CONFIDENTIAL & FORTINET PROPRIETARY SOURCE CODE
Copyright end """
import boto3, requests, json
from connectors.core.connector import get_logger, ConnectorError
logger = get_logger('aws-network-firewall')
TEMP_CRED_ENDPO... | 0 | 0 | 0 | 3,634 | 0 | 9,627 | 0 | 23 | 598 |
d63e4a467d3bca00f188583137b8940e30776ece | 665 | py | Python | hackerrank/13. regex and parsing/15.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | hackerrank/13. regex and parsing/15.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | hackerrank/13. regex and parsing/15.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | # Enter your code here. Read input from STDIN. Print output to STDOUTseen = ''
import re
for _ in range(1, int(input())+1):
uid = str(input())
seen = ''
valid = True
if len(uid) == 10:
for char in uid:
if char not in seen and char.isalnum():
seen = seen + char
... | 26.6 | 87 | 0.503759 | # Enter your code here. Read input from STDIN. Print output to STDOUTseen = ''
from string import ascii_uppercase, digits
import re
for _ in range(1, int(input())+1):
uid = str(input())
seen = ''
valid = True
if len(uid) == 10:
for char in uid:
if char not in seen and char.isaln... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 22 |
17b7f7b54d65da3b60ca22904903fde7bce6a3ea | 9,286 | py | Python | django_bitcoin/tasks.py | texib/bitcoin-zoo | 69dc3443a5132ef02f340676a985e4ad9a244eed | [
"MIT"
] | 1 | 2018-03-24T14:42:06.000Z | 2018-03-24T14:42:06.000Z | django_bitcoin/tasks.py | kenttw/bitcoin-zoo | 69dc3443a5132ef02f340676a985e4ad9a244eed | [
"MIT"
] | 1 | 2015-04-21T03:47:07.000Z | 2015-04-21T03:47:12.000Z | django_bitcoin/tasks.py | texib/bitcoin-zoo | 69dc3443a5132ef02f340676a985e4ad9a244eed | [
"MIT"
] | null | null | null | from __future__ import with_statement
from django.db import models
| 46.89899 | 123 | 0.689856 | from __future__ import with_statement
import datetime
import random
import hashlib
import base64
from decimal import Decimal
from django.db import models
from django_bitcoin.utils import bitcoind
from django_bitcoin import settings , models
from django.utils.translation import ugettext as _
from django_bitcoin.models... | 0 | 8,221 | 0 | 0 | 0 | 190 | 0 | 248 | 538 |
4bc7429b295385802f8890a45eedec78c502bd33 | 740 | py | Python | test/test_add_contact_to_group.py | Sashatq/python_training | 9e403db6e3bf5e17b8ce0d4d3d9887841720913c | [
"Apache-2.0"
] | null | null | null | test/test_add_contact_to_group.py | Sashatq/python_training | 9e403db6e3bf5e17b8ce0d4d3d9887841720913c | [
"Apache-2.0"
] | null | null | null | test/test_add_contact_to_group.py | Sashatq/python_training | 9e403db6e3bf5e17b8ce0d4d3d9887841720913c | [
"Apache-2.0"
] | null | null | null |
#
#
#
#
#
#
#-
#
# | 20.555556 | 106 | 0.762162 | from model.contact import Contact
from model.group import Group
def test_add_contact_to_group(app, db):
if len(db.get_contact_list()) == 0:
app.contact.create.contact(Contact(name='for_group', lname="for_group"))
app.group.create(Group(name="add_contact_here", header="add_contact_here", footer="add_co... | 292 | 0 | 0 | 0 | 0 | 457 | 0 | 20 | 67 |
800fd32b0652a937b970d237c4fe071f077120c7 | 363 | py | Python | resume.py | BananaLoaf/pix2pix-tf2-keras | 8925941e8e5cd52563255e8e2cc58f03f7cc5cde | [
"MIT"
] | 1 | 2021-08-08T16:30:34.000Z | 2021-08-08T16:30:34.000Z | resume.py | BananaLoaf/pix2pix-tf2-keras | 8925941e8e5cd52563255e8e2cc58f03f7cc5cde | [
"MIT"
] | null | null | null | resume.py | BananaLoaf/pix2pix-tf2-keras | 8925941e8e5cd52563255e8e2cc58f03f7cc5cde | [
"MIT"
] | 2 | 2020-03-24T14:31:42.000Z | 2020-11-16T22:36:07.000Z | from pathlib import Path
from tools.config import Config, ResumeConfig
from tools.runner import CustomRunner
if __name__ == '__main__':
resume_config = ResumeConfig.cli("Pix2Pix Tensorflow 2 Keras implementation")
config = Config.load(Path(resume_config.path).joinpath("config.json"))
CustomRunner.resume(c... | 36.3 | 81 | 0.790634 | from pathlib import Path
from tools.config import Config, ResumeConfig
from tools.runner import CustomRunner
if __name__ == '__main__':
resume_config = ResumeConfig.cli("Pix2Pix Tensorflow 2 Keras implementation")
config = Config.load(Path(resume_config.path).joinpath("config.json"))
CustomRunner.resume(c... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6acb5d7172f11394af5532fc042454602331eba6 | 12,274 | py | Python | synthesize.py | tranmanhdat/FastSpeech2 | bc5e28e1463de2ba167ae9a2cf32e2d8aa366e02 | [
"MIT"
] | null | null | null | synthesize.py | tranmanhdat/FastSpeech2 | bc5e28e1463de2ba167ae9a2cf32e2d8aa366e02 | [
"MIT"
] | null | null | null | synthesize.py | tranmanhdat/FastSpeech2 | bc5e28e1463de2ba167ae9a2cf32e2d8aa366e02 | [
"MIT"
] | null | null | null | import argparse
import torch
import yaml
import numpy as np
from torch.utils.data import DataLoader
from g2p_en import G2p
from utils.model import get_model, get_vocoder
from utils.tools import to_device
from dataset import TextDataset
import time
device = torch.device("cuda" if torch.cuda.is_available() ... | 35.576812 | 98 | 0.559801 | import re
import argparse
from string import punctuation
from scipy.io import wavfile
import torch
import yaml
import numpy as np
from torch.utils.data import DataLoader
from g2p_en import G2p
from pypinyin import pinyin, Style
from utils.model import get_model, get_vocoder
from utils.tools import to_dev... | 0 | 0 | 0 | 0 | 0 | 6,008 | 0 | 85 | 263 |
ef0c02fedf75e263733415cb1b6dfb1fda046eee | 482 | py | Python | examples/honeypot/topo.py | Dobrrk/minicps | 955b0255b2ac79b11f501645b847169848e314d6 | [
"MIT"
] | null | null | null | examples/honeypot/topo.py | Dobrrk/minicps | 955b0255b2ac79b11f501645b847169848e314d6 | [
"MIT"
] | null | null | null | examples/honeypot/topo.py | Dobrrk/minicps | 955b0255b2ac79b11f501645b847169848e314d6 | [
"MIT"
] | null | null | null | """
swat-s1 topology
"""
| 18.538462 | 42 | 0.572614 | """
swat-s1 topology
"""
from mininet.topo import Topo as TopoBase
from pinger import Pinger
from plc2 import Plc2
from plc1 import Plc1
class Topo(TopoBase):
NETMASK = '/24'
NODES = [Plc1, Plc2, Pinger]
def build(self):
switch = self.addSwitch('s1')
for node in Topo.NODES:
... | 0 | 0 | 0 | 319 | 0 | 0 | 0 | 24 | 113 |
b81d6821a26835f297c3903bcbc442d359c7cbe5 | 2,396 | py | Python | DesignPresentation/Amdhal.py | bjlemaire/DEM | b413304fd4d3368af73aff9743d1da9d7deb129e | [
"MIT"
] | null | null | null | DesignPresentation/Amdhal.py | bjlemaire/DEM | b413304fd4d3368af73aff9743d1da9d7deb129e | [
"MIT"
] | null | null | null | DesignPresentation/Amdhal.py | bjlemaire/DEM | b413304fd4d3368af73aff9743d1da9d7deb129e | [
"MIT"
] | 1 | 2019-08-07T17:35:26.000Z | 2019-08-07T17:35:26.000Z | import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rc
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
rc('text', usetex=True)
c =0.9996
f = lambda p: 1/((1-c)+(c/p))
p_list = np.arange(1,1024)
N=100
tsm = 18.4e-9
tnode = 65e-9
tproc = 0.08e-9
toff = 27e-3
T = N*N/6
dt = 0.24
... | 39.933333 | 155 | 0.632304 | import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rc
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
rc('text', usetex=True)
c =0.9996
f = lambda p: 1/((1-c)+(c/p))
p_list = np.arange(1,1024)
N=100
tsm = 18.4e-9
tnode = 65e-9
tproc = 0.08e-9
toff = 27e-3
T = N*N/6
dt = 0.24
... | 0 | 0 | 0 | 0 | 0 | 278 | 0 | 0 | 46 |
d2c48659fa5d2855283695eacbcaa778092ba8f8 | 981 | py | Python | src/example/python/read-single-psicquic-python3.py | PSICQUIC/psicquic-solr-ws | 9bfe2665fe1071e524548136c66bc1f5c7df2b05 | [
"CC-BY-4.0"
] | 2 | 2021-04-30T13:10:50.000Z | 2021-12-14T10:55:36.000Z | src/example/python/read-single-psicquic-python3.py | PSICQUIC/psicquic-solr-ws | 9bfe2665fe1071e524548136c66bc1f5c7df2b05 | [
"CC-BY-4.0"
] | null | null | null | src/example/python/read-single-psicquic-python3.py | PSICQUIC/psicquic-solr-ws | 9bfe2665fe1071e524548136c66bc1f5c7df2b05 | [
"CC-BY-4.0"
] | 1 | 2018-10-23T11:22:24.000Z | 2018-10-23T11:22:24.000Z | from urllib.request import urlopen
# ------------------ MITAB FUNCTIONS ------------------
# -----------------------------------------------------
# Note that we are only going to get 10 interactions at most
queryUrl = "http://www.ebi.ac.uk/Tools/webservices/psicquic/intact/webservices/current/search/query/BBC1?first... | 26.513514 | 134 | 0.598369 | from urllib.request import urlopen
# ------------------ MITAB FUNCTIONS ------------------
def getXrefByDatabase(line, database):
fields = line.split('|')
for field in fields:
parts = field.split(':')
db = parts[0]
value = parts[1].split('(')[0]
if database == db:
retur... | 0 | 0 | 0 | 0 | 0 | 213 | 0 | 0 | 23 |
81bd654649daec8245593e95ab09d02d5ede25fb | 2,240 | py | Python | models/PasswordToken.py | PunitTailor55/RootTheBox | 9662a1dc5830a03326257fced058fd7384685cff | [
"Apache-2.0"
] | null | null | null | models/PasswordToken.py | PunitTailor55/RootTheBox | 9662a1dc5830a03326257fced058fd7384685cff | [
"Apache-2.0"
] | null | null | null | models/PasswordToken.py | PunitTailor55/RootTheBox | 9662a1dc5830a03326257fced058fd7384685cff | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sep 6, 2020
@author: eljeffe
Copyright 2020 Root the Box
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/licen... | 32 | 88 | 0.688839 | # -*- coding: utf-8 -*-
"""
Created on Sep 6, 2020
@author: eljeffe
Copyright 2020 Root the Box
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/licen... | 0 | 657 | 0 | 592 | 0 | 0 | 0 | 122 | 200 |