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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
506cb7ce8d5c619c545e6004b56f1f3f9bf3ab6d | 1,261 | py | Python | app/users/migrations/0004_auto_20210216_2041.py | hossamhsn74/django-PreventiaTech-task | e74cdbac01d96a3cbe076612ea92df5cc62198bd | [
"MIT"
] | null | null | null | app/users/migrations/0004_auto_20210216_2041.py | hossamhsn74/django-PreventiaTech-task | e74cdbac01d96a3cbe076612ea92df5cc62198bd | [
"MIT"
] | null | null | null | app/users/migrations/0004_auto_20210216_2041.py | hossamhsn74/django-PreventiaTech-task | e74cdbac01d96a3cbe076612ea92df5cc62198bd | [
"MIT"
] | null | null | null | # Generated by Django 3.1.5 on 2021-02-16 20:41
import django.db.models.deletion
| 34.081081 | 121 | 0.589215 | # Generated by Django 3.1.5 on 2021-02-16 20:41
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('users', '0003_delete_profile'),
]
operations = [
... | 0 | 0 | 0 | 1,052 | 0 | 0 | 0 | 37 | 90 |
07eb67593e2291dd425132ed268a88e9bc883e76 | 6,185 | py | Python | src/network/generator.py | sedrickkeh/high-fidelity-dual-image | 9cefd378467826b91596653df38666e469bb23e0 | [
"Apache-2.0"
] | 266 | 2020-08-25T00:04:58.000Z | 2022-03-31T06:41:03.000Z | src/network/generator.py | sedrickkeh/high-fidelity-dual-image | 9cefd378467826b91596653df38666e469bb23e0 | [
"Apache-2.0"
] | 27 | 2020-09-01T21:04:27.000Z | 2022-03-22T02:24:48.000Z | src/network/generator.py | sedrickkeh/high-fidelity-dual-image | 9cefd378467826b91596653df38666e469bb23e0 | [
"Apache-2.0"
] | 50 | 2020-08-28T02:11:46.000Z | 2022-02-25T02:44:42.000Z | import torch
import torch.nn as nn
# Custom
if __name__ == "__main__":
C = 8
y = torch.randn([3,C,16,16])
y_dims = y.size()
G = Generator(y_dims[1:], y_dims[0], C=C, n_residual_blocks=3, sample_noise=True)
x_hat = G(y)
print(x_hat.size()) | 34.361111 | 90 | 0.592563 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
# Custom
from src.normalisation import channel, instance
class ResidualBlock(nn.Module):
def __init__(self, input_dims, kernel_size=3, stride=1,
channel_norm=True, activation='relu'):
"""
input_... | 0 | 0 | 0 | 5,772 | 0 | 0 | 0 | 33 | 112 |
b063c54d0244824e5948bd4373cd0b50f7f60491 | 9,395 | py | Python | maindatabase/views.py | dragonman164/Database-for-Covid-19-Vaccination-with-API-support | b34c29414967fcdf2d9fb34ed815f5c2752694b6 | [
"MIT"
] | 1 | 2020-12-30T16:31:14.000Z | 2020-12-30T16:31:14.000Z | maindatabase/views.py | rishusingh022/Database-for-Covid-19-Vaccination-with-API-support | 8d2137f06d10ca620a4fe24ffc34c410b8a78ad6 | [
"MIT"
] | null | null | null | maindatabase/views.py | rishusingh022/Database-for-Covid-19-Vaccination-with-API-support | 8d2137f06d10ca620a4fe24ffc34c410b8a78ad6 | [
"MIT"
] | 2 | 2020-12-19T19:27:08.000Z | 2021-01-02T07:43:39.000Z |
# Create your views here. | 36.274131 | 112 | 0.60628 | import pandas as pd
from django.http import response
from django.shortcuts import render,HttpResponse
from .models import Person,report,management,Person_without_Aadhar
import datetime
from django.utils.timezone import utc
from rest_framework import serializers, status,viewsets
from rest_framework.views import APIView
... | 0 | 0 | 0 | 6,822 | 0 | 1,634 | 0 | 367 | 538 |
f854e127d0d6d1aa5573e37894c5b2483aa079c5 | 2,397 | py | Python | storm_analysis/spliner/find_peaks_std.py | oxfordni/storm-analysis | 835a5c17497c563c3632db561ae7e7c9144a8dd1 | [
"CNRI-Python"
] | null | null | null | storm_analysis/spliner/find_peaks_std.py | oxfordni/storm-analysis | 835a5c17497c563c3632db561ae7e7c9144a8dd1 | [
"CNRI-Python"
] | null | null | null | storm_analysis/spliner/find_peaks_std.py | oxfordni/storm-analysis | 835a5c17497c563c3632db561ae7e7c9144a8dd1 | [
"CNRI-Python"
] | null | null | null | #!/usr/bin/env python
"""
Cubic spline peak finder.
Hazen 03/16
"""
import storm_analysis.sa_library.analysis_io as analysisIO
import storm_analysis.sa_library.fitting as fitting
import storm_analysis.spliner.cubic_fit_c as cubicFitC
import storm_analysis.spliner.spline_to_psf as splineToPSF
def initFitter(finder,... | 33.291667 | 107 | 0.647059 | #!/usr/bin/env python
"""
Cubic spline peak finder.
Hazen 03/16
"""
import pickle
import numpy
import tifffile
import storm_analysis.sa_library.analysis_io as analysisIO
import storm_analysis.sa_library.fitting as fitting
import storm_analysis.sa_library.ia_utilities_c as utilC
import storm_analysis.sa_library.matc... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 112 |
0b462e090ae9ab6563e9477852c0ab03b142391e | 1,474 | py | Python | code.py | dunfred/Hackathon | 459e11deb9fb81a6e29e1b2a42947c13f30b98d5 | [
"MIT"
] | 1 | 2021-09-01T17:18:40.000Z | 2021-09-01T17:18:40.000Z | code.py | dunfred/Hackathon | 459e11deb9fb81a6e29e1b2a42947c13f30b98d5 | [
"MIT"
] | null | null | null | code.py | dunfred/Hackathon | 459e11deb9fb81a6e29e1b2a42947c13f30b98d5 | [
"MIT"
] | null | null | null | import pandas as pd
url = "https://en.wikipedia.org/wiki/Road_safety_in_Europe"
target_table_name = "European Union Road Safety Facts and Figures"
# Fetch all tables on webpage that match
# provided table name and return as list
df = pd.read_html(url, match=target_table_name)
# Grab the first table
df = df[0] if le... | 34.27907 | 100 | 0.652646 | import pandas as pd
url = "https://en.wikipedia.org/wiki/Road_safety_in_Europe"
target_table_name = "European Union Road Safety Facts and Figures"
# Fetch all tables on webpage that match
# provided table name and return as list
df = pd.read_html(url, match=target_table_name)
# Grab the first table
df = df[0] if le... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c5067310a9afe1eb619b65f552eeb3afef69daa | 679 | py | Python | ph-geocoder.py | rukku/ph-geocodes | 082a2055610c2af24562842ba36212172d5b1c80 | [
"Unlicense"
] | 1 | 2017-09-18T12:01:14.000Z | 2017-09-18T12:01:14.000Z | ph-geocoder.py | rukku/ph-geocodes | 082a2055610c2af24562842ba36212172d5b1c80 | [
"Unlicense"
] | null | null | null | ph-geocoder.py | rukku/ph-geocodes | 082a2055610c2af24562842ba36212172d5b1c80 | [
"Unlicense"
] | 1 | 2019-09-11T02:28:01.000Z | 2019-09-11T02:28:01.000Z | import csv
data = loaddata()
for k,v in data.iteritems():
print len(k), k + ":" + v
#return 0 if not a place
#return 1 if it's region
#return 2 if it's a province
#return 3 if it's a munincipality
| 16.560976 | 50 | 0.581738 | import csv
def loaddata():
with open('geocodes.province.csv', 'rb') as f:
reader = csv.reader(f)
next(reader, None) #skip header
codelist = dict()
#build regional codes
for row in reader:
codelist[row[1]] = row[0]
#print row[1], row[0]
return ... | 0 | 0 | 0 | 0 | 0 | 337 | 0 | 0 | 115 |
037ae72ac5d9a895629c39fc78a2f46b3bf36fd9 | 4,139 | py | Python | tests/apps/search/test_views_bootstrap_elasticsearch.py | leduong/richie | bf7ed379b7e2528cd790dadcec10ac2656efd189 | [
"MIT"
] | 174 | 2018-04-14T23:36:01.000Z | 2022-03-10T09:27:01.000Z | tests/apps/search/test_views_bootstrap_elasticsearch.py | leduong/richie | bf7ed379b7e2528cd790dadcec10ac2656efd189 | [
"MIT"
] | 631 | 2018-04-04T11:28:53.000Z | 2022-03-31T11:18:31.000Z | tests/apps/search/test_views_bootstrap_elasticsearch.py | leduong/richie | bf7ed379b7e2528cd790dadcec10ac2656efd189 | [
"MIT"
] | 64 | 2018-06-27T08:35:01.000Z | 2022-03-10T09:27:43.000Z | """Test suite for the bootstrap_elasticsearch view of richie's search app."""
| 39.798077 | 94 | 0.70186 | """Test suite for the bootstrap_elasticsearch view of richie's search app."""
import json
from unittest import mock
from django.contrib.messages import get_messages
from cms.test_utils.testcases import CMSTestCase
from richie.apps.core.factories import UserFactory
class BootstrapElasticsearchViewTestCase(CMSTestCa... | 0 | 3,572 | 0 | 275 | 0 | 0 | 0 | 77 | 136 |
8e9c10efc8a64a3b68b811cec6fdfc09369dc0bc | 4,457 | py | Python | linuxOperation/app/maillist/models.py | zhouli121018/core | f9700204349ecb22d45e700e9e27e79412829199 | [
"MIT"
] | null | null | null | linuxOperation/app/maillist/models.py | zhouli121018/core | f9700204349ecb22d45e700e9e27e79412829199 | [
"MIT"
] | 1 | 2021-06-10T20:45:55.000Z | 2021-06-10T20:45:55.000Z | linuxOperation/app/maillist/models.py | zhouli121018/core | f9700204349ecb22d45e700e9e27e79412829199 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.utils.translation import ugettext_lazy as _
EXT_LIST_TYPE = (
('general', _(u'')),
('dept', _(u'')),
('sys', _(u''))
)
EXT_LIST_PERMISSION = (
('public', _(u'')),
('private', _(u'')),
('domain', _(u'')),
('domain2',... | 36.235772 | 127 | 0.627328 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import time
from django.db import models
from django.utils.translation import ugettext_lazy as _
from app.core.models import Domain, Mailbox
EXT_LIST_TYPE = (
('general', _(u'普通邮件列表')),
('dept', _(u'部门邮件列表')),
('sys', _(u'系统邮件列表'))
)
EXT_LIST_... | 951 | 492 | 0 | 2,622 | 0 | 0 | 0 | 19 | 135 |
3080e96161efccd8686e2439e6afcc0410b9180b | 3,078 | py | Python | scripts/select_gnomad_snps.py | ucladx/panel-design | d285b95f57027f9e1c7ca298797e0d6aa1b14f8a | [
"Apache-2.0"
] | null | null | null | scripts/select_gnomad_snps.py | ucladx/panel-design | d285b95f57027f9e1c7ca298797e0d6aa1b14f8a | [
"Apache-2.0"
] | null | null | null | scripts/select_gnomad_snps.py | ucladx/panel-design | d285b95f57027f9e1c7ca298797e0d6aa1b14f8a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
'''
@description : Given a gnomAD VCF, shortlist SNPs for a capture-based panel to detect allelic imbalance
@created : 09/16/2020
@author : Cyriac Kandoth
'''
from __future__ import division, print_function
import sys, time
if __name__ == "__main__":
start_time = time.time()
main()
... | 50.459016 | 191 | 0.639051 | #!/usr/bin/env python3
'''
@description : Given a gnomAD VCF, shortlist SNPs for a capture-based panel to detect allelic imbalance
@created : 09/16/2020
@author : Cyriac Kandoth
'''
from __future__ import division, print_function
import os, sys, argparse, time, pysam
def main():
parser = argparse.ArgumentParser(... | 0 | 0 | 0 | 0 | 0 | 2,590 | 0 | 21 | 23 |
b3165d23370a13ce6d499a7faa888f948c8dc625 | 6,691 | py | Python | server_new.py | parametersky/ServerTest | 35884aa7da9e723407b6148a0bd3e1c285bbd58f | [
"MIT"
] | null | null | null | server_new.py | parametersky/ServerTest | 35884aa7da9e723407b6148a0bd3e1c285bbd58f | [
"MIT"
] | null | null | null | server_new.py | parametersky/ServerTest | 35884aa7da9e723407b6148a0bd3e1c285bbd58f | [
"MIT"
] | null | null | null | import logging
logg = logging.getLogger(__name__)
logg.setLevel(logging.DEBUG)
logg.addHandler(getErrorHandler("/var/log/socket-server/socketserver.log"))
try:
mySocketServer = MySocketServer()
mySocketServer.startWork()
mySocketServer.runSocketServer()
except Exception as error:
logg.exception(er... | 32.639024 | 105 | 0.576894 | import socket
import json
import os
import sys
from threading import Thread
from multiprocessing import Process
from queue import Queue
from logging import Formatter,getLogger,FileHandler
from logging.handlers import TimedRotatingFileHandler,RotatingFileHandler
import logging
import time
from functools import reduce
d... | 0 | 0 | 0 | 4,886 | 0 | 996 | 0 | 61 | 423 |
1873360a35ad172b1a4e80205f7933d2a7a47d0e | 621 | py | Python | je_editor/ui/ui_event/open_file/open_last_edit_file/open_last_edit_file.py | JE-Chen/je_editor | 2f18dedb6f0eb27c38668dc53f520739c8d5c6c6 | [
"MIT"
] | 1 | 2021-12-10T14:57:15.000Z | 2021-12-10T14:57:15.000Z | je_editor/ui/ui_event/open_file/open_last_edit_file/open_last_edit_file.py | JE-Chen/je_editor | 2f18dedb6f0eb27c38668dc53f520739c8d5c6c6 | [
"MIT"
] | null | null | null | je_editor/ui/ui_event/open_file/open_last_edit_file/open_last_edit_file.py | JE-Chen/je_editor | 2f18dedb6f0eb27c38668dc53f520739c8d5c6c6 | [
"MIT"
] | null | null | null | from je_editor.utils.file.open.open_file import read_file
def open_last_edit_file(file_from_output_content, code_editor):
"""
:param file_from_output_content: readied file from output content
:param code_editor the editor to insert file content
:return readied file
open last edit file
if succe... | 34.5 | 69 | 0.73752 | from je_editor.utils.file.open.open_file import read_file
def open_last_edit_file(file_from_output_content, code_editor):
"""
:param file_from_output_content: readied file from output content
:param code_editor the editor to insert file content
:return readied file
open last edit file
if succe... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d9fb745b63e853aa5e221b1f87db67c0723efc2d | 394 | py | Python | zmq_srv.py | iyedb/boost_asio_zeromq | 63110c18540c8303ac29d574f25cba234a00a22d | [
"MIT"
] | 4 | 2015-04-07T06:00:34.000Z | 2019-09-10T01:45:41.000Z | zmq_srv.py | iyedb/boost_asio_zeromq | 63110c18540c8303ac29d574f25cba234a00a22d | [
"MIT"
] | null | null | null | zmq_srv.py | iyedb/boost_asio_zeromq | 63110c18540c8303ac29d574f25cba234a00a22d | [
"MIT"
] | 3 | 2015-06-30T07:37:41.000Z | 2019-09-10T01:45:47.000Z | from __future__ import print_function
import zmq
import time
ADDR='tcp://127.0.0.1:11155'
ctx = zmq.Context()
srv = ctx.socket(zmq.REP)
srv.bind(ADDR)
#srv.setsockopt(zmq.RCVTIMEO, 3000);
while True:
try:
msg = srv.recv()
except Exception as e:
print('zmq socket revc timedout:', e)
else:
print('cl... | 17.130435 | 41 | 0.659898 | from __future__ import print_function
import zmq
import time
ADDR='tcp://127.0.0.1:11155'
ctx = zmq.Context()
srv = ctx.socket(zmq.REP)
srv.bind(ADDR)
#srv.setsockopt(zmq.RCVTIMEO, 3000);
while True:
try:
msg = srv.recv()
except Exception as e:
print('zmq socket revc timedout:', e)
else:
print('cl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0067d2bd646b029edc7c4eb805ba63043b28667b | 1,813 | py | Python | structural/adapter/logic/xml_to_json_adapter.py | Kozak24/Patterns | 351d5c11f7c64ce5d58db37b6715fc8f7d31945a | [
"MIT"
] | null | null | null | structural/adapter/logic/xml_to_json_adapter.py | Kozak24/Patterns | 351d5c11f7c64ce5d58db37b6715fc8f7d31945a | [
"MIT"
] | null | null | null | structural/adapter/logic/xml_to_json_adapter.py | Kozak24/Patterns | 351d5c11f7c64ce5d58db37b6715fc8f7d31945a | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
| 30.728814 | 82 | 0.619415 | from __future__ import annotations
from typing import Dict, Any, List, TYPE_CHECKING
if TYPE_CHECKING:
from xml.etree.ElementTree import Element
class XmlToJsonAdapter:
def __init__(self, node: Element) -> None:
self.node = node
def convert_to_json(self) -> Dict[Any, Any]:
converted_to_... | 0 | 150 | 0 | 1,488 | 0 | 0 | 0 | 37 | 49 |
a74e3a15f473bb54e6a524be41bcee3ea4fd952a | 3,402 | py | Python | editor.py | MarioLiebisch/story-o-mat | 9ab529d226046c2acab513e6fff6a19da72d6c8a | [
"MIT"
] | null | null | null | editor.py | MarioLiebisch/story-o-mat | 9ab529d226046c2acab513e6fff6a19da72d6c8a | [
"MIT"
] | null | null | null | editor.py | MarioLiebisch/story-o-mat | 9ab529d226046c2acab513e6fff6a19da72d6c8a | [
"MIT"
] | null | null | null | import os
import sys
from pathlib import Path
from nltk.tokenize.regexp import RegexpTokenizer
from make_story import load_data_from_file
BUTTONS_PER_COL = 8
DATA_PATH = "./data/"
data = None
tokenizer = RegexpTokenizer(r'\w+')
Path(DATA_PATH).mkdir(parents=True, exist_ok=True)
if len(sys.argv) == 1:
... | 22.235294 | 83 | 0.643739 | import os
import sys
from pathlib import Path
from tkinter import *
from tkinter import filedialog
from os import listdir
from os.path import isfile, join
from nltk.tokenize.regexp import RegexpTokenizer
from make_story import get_next_words, load_data_from_file
BUTTONS_PER_COL = 8
DATA_PATH = "./data/"
data = None
... | 0 | 0 | 0 | 0 | 0 | 1,637 | 0 | 37 | 272 |
7cf71af53bd345c815339c54aae80d464ba8ddd3 | 1,530 | py | Python | tests/test_mxnet.py | ankitshah009/MMdnn | a03d800eb4016765e97f82eb5d2e69f98de3a9cf | [
"MIT"
] | 3,442 | 2017-11-20T08:39:51.000Z | 2019-05-06T10:51:19.000Z | tests/test_mxnet.py | ankitshah009/MMdnn | a03d800eb4016765e97f82eb5d2e69f98de3a9cf | [
"MIT"
] | 430 | 2017-11-29T04:21:48.000Z | 2019-05-06T05:37:37.000Z | tests/test_mxnet.py | ankitshah009/MMdnn | a03d800eb4016765e97f82eb5d2e69f98de3a9cf | [
"MIT"
] | 683 | 2017-11-20T08:50:34.000Z | 2019-05-04T04:25:14.000Z | from __future__ import absolute_import
from __future__ import print_function
if __name__ == '__main__':
test_mxnet()
| 28.333333 | 54 | 0.544444 | from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import six
from conversion_imagenet import TestModels
def get_test_table():
return { 'mxnet' : {
'vgg19' : [
TestModels.onnx_emit,
TestModels.caffe_emit,
T... | 0 | 0 | 0 | 0 | 0 | 1,283 | 0 | -13 | 135 |
402f7023809b25e6416c8803ed8d64999c66be0d | 6,424 | py | Python | bert/attention.py | chenlongzhen/bert-for-tf2 | bcbf85d682faba2326e77b021fd955f9e13d72c2 | [
"MIT"
] | 806 | 2019-05-25T08:37:21.000Z | 2022-03-25T11:16:13.000Z | bert/attention.py | chenlongzhen/bert-for-tf2 | bcbf85d682faba2326e77b021fd955f9e13d72c2 | [
"MIT"
] | 89 | 2019-06-05T14:53:25.000Z | 2022-03-09T13:42:44.000Z | bert/attention.py | chenlongzhen/bert-for-tf2 | bcbf85d682faba2326e77b021fd955f9e13d72c2 | [
"MIT"
] | 196 | 2019-06-10T23:53:46.000Z | 2022-03-14T02:49:46.000Z | # coding=utf-8
#
# created by kpe on 15.Mar.2019 at 12:52
#
from __future__ import absolute_import, division, print_function
| 44 | 118 | 0.593244 | # coding=utf-8
#
# created by kpe on 15.Mar.2019 at 12:52
#
from __future__ import absolute_import, division, print_function
import tensorflow as tf
from tensorflow.python import keras
from tensorflow.python.keras import backend as K
from bert.layer import Layer
class AttentionLayer(Layer):
class Params(Layer.... | 0 | 562 | 0 | 5,571 | 0 | 0 | 0 | 50 | 113 |
4c317b128f71d726a97ef3d1da8952b339f14a3d | 9,722 | py | Python | venv/Lib/site-packages/sqlalchemy/dialects/postgresql/pg8000.py | YunJaePark3908/BaseAPIServer | 17ab922917541406a3c2d75b428614ce97152a16 | [
"Apache-2.0"
] | 2 | 2021-02-20T22:43:47.000Z | 2021-05-06T03:43:20.000Z | venv/Lib/site-packages/sqlalchemy/dialects/postgresql/pg8000.py | YunJaePark3908/BaseAPIServer | 17ab922917541406a3c2d75b428614ce97152a16 | [
"Apache-2.0"
] | 8 | 2021-03-26T19:13:07.000Z | 2021-04-19T18:34:33.000Z | venv/Lib/site-packages/sqlalchemy/dialects/postgresql/pg8000.py | YunJaePark3908/BaseAPIServer | 17ab922917541406a3c2d75b428614ce97152a16 | [
"Apache-2.0"
] | 3 | 2021-11-30T11:10:26.000Z | 2021-12-08T05:59:31.000Z | # postgresql/pg8000.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors <see AUTHORS
# file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
r"""
.. dialect:: postgresql+pg8000
:name: pg8000
:dbapi: pg8000
:co... | 29.195195 | 95 | 0.618803 | # postgresql/pg8000.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors <see AUTHORS
# file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
r"""
.. dialect:: postgresql+pg8000
:name: pg8000
:dbapi: pg8000
:co... | 0 | 422 | 0 | 6,531 | 0 | 0 | 0 | 73 | 449 |
37dab22431929b05ff4e9721da0fcf6fbe7ead60 | 176 | py | Python | backend/home/urls.py | webclinic017/WallStreetBots | f4f73539b080ce7667b52ee8195919ec4e7b79b8 | [
"MIT"
] | 4 | 2021-11-12T02:04:30.000Z | 2022-01-03T22:56:41.000Z | backend/home/urls.py | webclinic017/WallStreetBots | f4f73539b080ce7667b52ee8195919ec4e7b79b8 | [
"MIT"
] | 5 | 2021-11-11T20:48:34.000Z | 2022-03-12T18:08:40.000Z | backend/home/urls.py | webclinic017/WallStreetBots | f4f73539b080ce7667b52ee8195919ec4e7b79b8 | [
"MIT"
] | 2 | 2021-11-15T14:23:36.000Z | 2021-11-27T19:44:38.000Z | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('check_db_connection', views.get_time, name="check_db"),
]
| 19.555556 | 65 | 0.6875 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('check_db_connection', views.get_time, name="check_db"),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cff48d45df0fba0a30b0c4b0973dffc79f9cf89e | 1,264 | py | Python | Books.py | rigobertocanseco/bidi-unam-new-books | dc14252bf6cafaeebd66d48067abac9489cac65d | [
"Apache-2.0",
"MIT"
] | null | null | null | Books.py | rigobertocanseco/bidi-unam-new-books | dc14252bf6cafaeebd66d48067abac9489cac65d | [
"Apache-2.0",
"MIT"
] | null | null | null | Books.py | rigobertocanseco/bidi-unam-new-books | dc14252bf6cafaeebd66d48067abac9489cac65d | [
"Apache-2.0",
"MIT"
] | null | null | null | # coding=utf-8
if __name__ == '__main__':
print(get())
| 28.727273 | 122 | 0.491297 | # coding=utf-8
import re
import json
import requests
from bs4 import BeautifulSoup
def get():
page = requests.get("https://www.bidi.unam.mx/mdb/newadq.html")
if page is None:
return None
soup = BeautifulSoup(page.text, 'html.parser')
trs = soup.find(id='dtBasicExample').find('tbody').find_all(... | 0 | 0 | 0 | 0 | 0 | 1,111 | 0 | -20 | 111 |
33469cf394e916db12bee4f160f4e41bb1a58c5d | 18,188 | py | Python | codegen/generate_schema.py | mbarga/commercetools-python-sdk | 464b2ea2518bafe4e2694a723550e0041db1f4c9 | [
"MIT"
] | null | null | null | codegen/generate_schema.py | mbarga/commercetools-python-sdk | 464b2ea2518bafe4e2694a723550e0041db1f4c9 | [
"MIT"
] | 1 | 2019-07-15T07:27:06.000Z | 2019-07-15T07:27:06.000Z | codegen/generate_schema.py | mbarga/commercetools-python-sdk | 464b2ea2518bafe4e2694a723550e0041db1f4c9 | [
"MIT"
] | null | null | null |
FIELD_TYPES = {
"string": "marshmallow.fields.String",
"object": "marshmallow.fields.Dict",
"float": "marshmallow.fields.Float",
"number": "marshmallow.fields.Integer",
"integer": "marshmallow.fields.Integer",
"boolean": "marshmallow.fields.Bool",
"array": "marshmallow.fields.List",
"da... | 36.015842 | 96 | 0.496371 | import ast
import operator
import typing
from collections import defaultdict
from codegen import raml_types
from codegen.generate_abstract import AbstractModuleGenerator
from codegen.utils import reorder_class_definitions
FIELD_TYPES = {
"string": "marshmallow.fields.String",
"object": "marshmallow.fields.Dic... | 0 | 0 | 0 | 17,474 | 0 | 0 | 0 | 68 | 201 |
9225c806a3472f8efbd06c64d676edf5f14dea8b | 381 | py | Python | sync_batchnorm/__init__.py | hankeceli/3D-Object-Detection-for-AV | b6c17a4a3ecc9c32418baafa5b82cfd4704ed880 | [
"Apache-2.0"
] | null | null | null | sync_batchnorm/__init__.py | hankeceli/3D-Object-Detection-for-AV | b6c17a4a3ecc9c32418baafa5b82cfd4704ed880 | [
"Apache-2.0"
] | null | null | null | sync_batchnorm/__init__.py | hankeceli/3D-Object-Detection-for-AV | b6c17a4a3ecc9c32418baafa5b82cfd4704ed880 | [
"Apache-2.0"
] | null | null | null | # This file is part of Synchronized-BatchNorm-PyTorch.
# https://github.com/vacancy/Synchronized-BatchNorm-PyTorch
# Distributed under MIT License.
| 47.625 | 96 | 0.860892 | # This file is part of Synchronized-BatchNorm-PyTorch.
# https://github.com/vacancy/Synchronized-BatchNorm-PyTorch
# Distributed under MIT License.
from .batchnorm import SynchronizedBatchNorm1d, SynchronizedBatchNorm2d, SynchronizedBatchNorm3d
from .batchnorm import patch_sync_batchnorm, convert_model
from .replicate... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 67 |
e6a92dafea1b739f567be9dfd875597c7f8c747f | 3,671 | py | Python | riko/bado/io.py | nerevu/riko | 4d27102b605b8b4050ba566d5e0895d8d5f8b09a | [
"MIT"
] | 1,716 | 2016-06-06T15:32:28.000Z | 2022-03-31T23:34:16.000Z | riko/bado/io.py | nerevu/riko | 4d27102b605b8b4050ba566d5e0895d8d5f8b09a | [
"MIT"
] | 33 | 2016-07-20T00:15:19.000Z | 2020-07-29T19:58:51.000Z | riko/bado/io.py | nerevu/riko | 4d27102b605b8b4050ba566d5e0895d8d5f8b09a | [
"MIT"
] | 88 | 2016-07-21T03:48:06.000Z | 2022-02-15T08:45:42.000Z | # -*- coding: utf-8 -*-
# vim: sw=4:ts=4:expandtab
"""
riko.bado.io
~~~~~~~~~~~~
Provides functions for asynchronously reading files and urls
Examples:
basic usage::
>>> from riko import get_path
>>> from riko.bado.io import async_url_open
"""
import pygogo as gogo
try:
from twisted.test.prot... | 28.457364 | 78 | 0.670662 | # -*- coding: utf-8 -*-
# vim: sw=4:ts=4:expandtab
"""
riko.bado.io
~~~~~~~~~~~~
Provides functions for asynchronously reading files and urls
Examples:
basic usage::
>>> from riko import get_path
>>> from riko.bado.io import async_url_open
"""
import pygogo as gogo
from io import open
from tempfi... | 0 | 995 | 0 | 1,372 | 0 | 209 | 0 | 155 | 331 |
5b1fa646253ee176f77c333bc37c30abd48e542d | 2,171 | py | Python | tools/pv_addpot.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | 4 | 2019-01-02T09:17:54.000Z | 2019-12-26T07:15:59.000Z | tools/pv_addpot.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | 6 | 2019-03-06T03:16:12.000Z | 2019-03-14T14:36:01.000Z | tools/pv_addpot.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
'''Search or create POTCAR file.
The elements can be parsed manually, or read from POSCAR.
'''
if __name__ == "__main__":
pv_addpot()
| 35.590164 | 93 | 0.625518 | #!/usr/bin/env python3
'''Search or create POTCAR file.
The elements can be parsed manually, or read from POSCAR.
'''
import os
import sys
from argparse import ArgumentParser, RawDescriptionHelpFormatter
from mykit.core.utils import trim_after
from mykit.vasp.poscar import Poscar
from mykit.vasp.potcar import Potcar... | 0 | 0 | 0 | 0 | 0 | 1,767 | 0 | 74 | 157 |
d37508e9a37e8a4b1a358eebc0d313828b179543 | 1,924 | py | Python | rlbot/messages/flat/Vector3Partial.py | danielbairamian/RL-RL | 4fc4ac14bd10088e83e7a15c3319370f74d0a756 | [
"MIT"
] | 3 | 2020-04-30T14:33:10.000Z | 2021-10-11T00:12:35.000Z | BeardBot/venv/Lib/site-packages/rlbot/messages/flat/Vector3Partial.py | Bearedy/BeardBot | cc31ae663bdf9ebf7cc0c41f7d4cff0d33064da0 | [
"MIT"
] | null | null | null | BeardBot/venv/Lib/site-packages/rlbot/messages/flat/Vector3Partial.py | Bearedy/BeardBot | cc31ae663bdf9ebf7cc0c41f7d4cff0d33064da0 | [
"MIT"
] | null | null | null | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: flat
| 32.610169 | 118 | 0.635655 | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: flat
import flatbuffers
class Vector3Partial(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsVector3Partial(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x =... | 0 | 196 | 0 | 1,123 | 0 | 363 | 0 | -3 | 157 |
db48c83cc9dc988f9a581c0fefc3618c90cc8432 | 40,409 | py | Python | fxpt/fx_prefsaver/tests/pyqt_window_test_ui.py | theetcher/fxpt | d40c571885c7c4056f548a60140740c7beb8703d | [
"MIT"
] | 18 | 2015-11-02T08:02:16.000Z | 2021-04-08T15:45:29.000Z | fxpt/fx_prefsaver/tests/pyqt_window_test_ui.py | dseeni/fxpt | d40c571885c7c4056f548a60140740c7beb8703d | [
"MIT"
] | 4 | 2017-01-09T08:29:37.000Z | 2020-04-15T06:04:33.000Z | fxpt/fx_prefsaver/tests/pyqt_window_test_ui.py | dseeni/fxpt | d40c571885c7c4056f548a60140740c7beb8703d | [
"MIT"
] | 7 | 2016-09-01T08:38:53.000Z | 2020-09-04T00:16:52.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'qt_window_test_ui.ui'
#
# Created: Fri Jan 16 22:18:17 2015
# by: PyQt4 UI code generator 4.9.1
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore
try:
_fromUtf8 = QtCore.QString.fromUtf8
except Attr... | 71.268078 | 197 | 0.739266 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'qt_window_test_ui.ui'
#
# Created: Fri Jan 16 22:18:17 2015
# by: PyQt4 UI code generator 4.9.1
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
exce... | 0 | 0 | 0 | 40,018 | 0 | 0 | 0 | 7 | 23 |
e3949c919fea9bb46197d59a4b51bd08dace1cdb | 8,005 | py | Python | apps/log_databus/utils/bkdata_clean.py | qqqqqie/bk-log | 1765f1901aafaa6fb6a57b8db5d35dd32b3cb5c1 | [
"MIT"
] | 75 | 2021-07-14T09:32:36.000Z | 2022-03-31T15:26:53.000Z | apps/log_databus/utils/bkdata_clean.py | qqqqqie/bk-log | 1765f1901aafaa6fb6a57b8db5d35dd32b3cb5c1 | [
"MIT"
] | 561 | 2021-07-14T07:45:47.000Z | 2022-03-31T11:41:28.000Z | apps/log_databus/utils/bkdata_clean.py | qqqqqie/bk-log | 1765f1901aafaa6fb6a57b8db5d35dd32b3cb5c1 | [
"MIT"
] | 41 | 2021-07-14T07:39:50.000Z | 2022-03-25T09:22:18.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-LOG available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-LOG is licensed under the MIT License.
License for BK-LOG :
------------------------------------------------------------------... | 48.222892 | 117 | 0.677452 | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-LOG 蓝鲸日志平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-LOG 蓝鲸日志平台 is licensed under the MIT License.
License for BK-LOG 蓝鲸日志平台:
------------------------------------------------... | 58 | 4,378 | 0 | 1,751 | 0 | 0 | 0 | 285 | 222 |
a4a2be9fe6839170b36880b7184c1a1bfd00dd20 | 28,493 | py | Python | src/human_readable/times.py | staticdev/human-readable | 1c3328560f9b8097e1bc3ec6fceefa486c264fd5 | [
"MIT"
] | 5 | 2021-03-10T21:22:31.000Z | 2022-03-23T04:38:07.000Z | src/human_readable/times.py | staticdev/human-readable | 1c3328560f9b8097e1bc3ec6fceefa486c264fd5 | [
"MIT"
] | 59 | 2021-02-13T10:08:23.000Z | 2022-03-14T19:43:55.000Z | src/human_readable/times.py | staticdev/human-readable | 1c3328560f9b8097e1bc3ec6fceefa486c264fd5 | [
"MIT"
] | null | null | null | """Time humanizing functions."""
from __future__ import annotations
import datetime as dt
import math
import human_readable.i18n as i18n
_ = i18n.gettext
P_ = i18n.pgettext
N_ = i18n.ngettext
def time_of_day(hour: int) -> str:
"""Given current hour, returns time of the day."""
if 0 < hour < 12:
... | 32.826037 | 88 | 0.61036 | """Time humanizing functions."""
from __future__ import annotations
import datetime as dt
import enum
import functools
import math
from typing import Any
import human_readable.i18n as i18n
_ = i18n.gettext
P_ = i18n.pgettext
N_ = i18n.ngettext
@functools.total_ordering
class Unit(enum.Enum):
"""Enum for minim... | 0 | 313 | 0 | 0 | 0 | 2,643 | 0 | -14 | 181 |
be7e966b8a67941b46ef35129ca9c6e151196260 | 2,749 | py | Python | DeepSTARR/DeepSTARR_pred_new_sequence.py | bernardo-de-almeida/DeepSTARR | 7eca2ef7001f6eb8b0b6a0d4a31e28e73c764bb6 | [
"MIT"
] | 1 | 2021-12-09T16:41:21.000Z | 2021-12-09T16:41:21.000Z | DeepSTARR/DeepSTARR_pred_new_sequence.py | bernardo-de-almeida/DeepSTARR | 7eca2ef7001f6eb8b0b6a0d4a31e28e73c764bb6 | [
"MIT"
] | 1 | 2021-10-09T02:21:01.000Z | 2021-10-09T02:21:01.000Z | DeepSTARR/DeepSTARR_pred_new_sequence.py | bernardo-de-almeida/DeepSTARR | 7eca2ef7001f6eb8b0b6a0d4a31e28e73c764bb6 | [
"MIT"
] | 3 | 2021-10-19T09:12:39.000Z | 2022-01-20T18:02:33.000Z |
### Load arguments
import sys
if __name__ == "__main__":
new_seq, model_ID = main(sys.argv[1:])
### Load libraries
import sys
sys.path.append('Neural_Network_DNA_Demo/')
from helper import IOHelper, SequenceHelper # from https://github.com/bernardo-de-almeida/Neural_Network_DNA_Demo.git
### Load sequences
pri... | 32.341176 | 117 | 0.715897 |
### Load arguments
import sys, getopt
def main(argv):
new_seq = ''
model_ID = ''
try:
opts, args = getopt.getopt(argv,"hs:m:",["seq=","model="])
except getopt.GetoptError:
print('DeepSTARR_pred_new_sequence.py -s <fasta seq file> -m <CNN model file>')
sys.exit(2)
for opt, arg in opts... | 0 | 0 | 0 | 0 | 0 | 1,093 | 0 | 190 | 223 |
1586fdc938864aa8657885eb20f4ab9d341d045e | 101 | py | Python | 1095.py | FahimFBA/URI-Problem-Solve | d718a95e5a873dffbce19d850998e8917ec87ebb | [
"Apache-2.0"
] | 3 | 2020-11-25T19:05:31.000Z | 2021-03-29T07:29:36.000Z | 1095.py | FahimFBA/URI-Problem-Solve | d718a95e5a873dffbce19d850998e8917ec87ebb | [
"Apache-2.0"
] | null | null | null | 1095.py | FahimFBA/URI-Problem-Solve | d718a95e5a873dffbce19d850998e8917ec87ebb | [
"Apache-2.0"
] | null | null | null |
j,i=65,-2
for I in range (1,14):
J= j-5
I=i+3
print('I=%d J=%d' %(I,J))
j=J
i=I | 12.625 | 29 | 0.39604 |
j,i=65,-2
for I in range (1,14):
J= j-5
I=i+3
print('I=%d J=%d' %(I,J))
j=J
i=I | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
757ffce3ec17e9d8a63a649af391e5ec129bb57b | 5,838 | py | Python | evaluation/dogs-vs-cats/train.py | kumasento/gconv-prune | f81c417d3754102c902bd153809130e12607bd7d | [
"MIT"
] | 8 | 2019-08-29T07:43:03.000Z | 2021-03-03T14:25:09.000Z | evaluation/dogs-vs-cats/train.py | kumasento/gconv-prune | f81c417d3754102c902bd153809130e12607bd7d | [
"MIT"
] | null | null | null | evaluation/dogs-vs-cats/train.py | kumasento/gconv-prune | f81c417d3754102c902bd153809130e12607bd7d | [
"MIT"
] | 2 | 2019-09-15T03:39:30.000Z | 2020-04-30T07:06:46.000Z | #!/usr/bin/env python
import copy
import logging
import time
from typing import Dict, List, Tuple
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from utils import get_device
fmt = "[%(asctime)s] {%(pathname)s:%(lineno)d} %(levelname)s: %(message)s"
logging.basic... | 29.785714 | 87 | 0.622302 | #!/usr/bin/env python
import argparse
import copy
import logging
import os
import random
import time
from typing import Dict, List, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
from torch.utils.data import DataLoader
from torchvision import models
from ut... | 0 | 0 | 0 | 0 | 0 | 2,519 | 0 | -9 | 249 |
ea81cc5881e19fdd44f7b09ca06efa22e43d9a5d | 6,037 | py | Python | test/ASEmotion.py | davircarvalho/ASEmotion | 4d274ec49be39982f8f40babde1ba57e9c1cdde5 | [
"MIT"
] | 2 | 2021-03-30T02:07:50.000Z | 2021-05-03T03:55:20.000Z | test/ASEmotion.py | davircarvalho/ASEmotion | 4d274ec49be39982f8f40babde1ba57e9c1cdde5 | [
"MIT"
] | null | null | null | test/ASEmotion.py | davircarvalho/ASEmotion | 4d274ec49be39982f8f40babde1ba57e9c1cdde5 | [
"MIT"
] | 1 | 2021-03-29T18:44:13.000Z | 2021-03-29T18:44:13.000Z | """
Real time AEmotion (env: 'torch')
"""
# %% Import libs
# import pickle
# import librosa
import sys
sys.path.append('..')
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
# import matplotlib.pyplot as plt
# from IPython.display import clear_output
if __name__ == "__main__":
process()
# %%
| 32.456989 | 134 | 0.602948 | """
Real time AEmotion (env: 'torch')
"""
# %% Import libs
import pyaudio
import numpy as np
# import pickle
# import librosa
import keract
import sys
sys.path.append('..')
from src.modeling.tcn.tcn import TCN
import os
import tensorflow as tf
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
from tensorflow.keras.models i... | 12 | 0 | 0 | 0 | 0 | 5,385 | 0 | 76 | 265 |
1696875137527c62d8fb92f1008c6d0226b41668 | 12,814 | py | Python | Snakemake/analyse-samples/scripts/gettRNAxlsites_v2.py | ulelab/ncawareclip | 11b92a6302c5738f1c8c6da1f8b4aeb405082375 | [
"MIT"
] | null | null | null | Snakemake/analyse-samples/scripts/gettRNAxlsites_v2.py | ulelab/ncawareclip | 11b92a6302c5738f1c8c6da1f8b4aeb405082375 | [
"MIT"
] | null | null | null | Snakemake/analyse-samples/scripts/gettRNAxlsites_v2.py | ulelab/ncawareclip | 11b92a6302c5738f1c8c6da1f8b4aeb405082375 | [
"MIT"
] | null | null | null | # Charlotte Capitanchik
# 25.04.18
# Based on fastCLIP tRNA strategy
# input is SAM of tRNA mapping
# and .fai of what is was mapped to
import pysam
from collections import defaultdict
import operator
from collections import Counter
import sys
import statistics
import random
import re
# input #
#trna_fai = sys.argv... | 39.919003 | 359 | 0.729359 | # Charlotte Capitanchik
# 25.04.18
# Based on fastCLIP tRNA strategy
# input is SAM of tRNA mapping
# and .fai of what is was mapped to
import pysam
from collections import defaultdict
import operator
from collections import Counter
import sys
import statistics
import random
import re
# input #
#trna_fai = sys.argv... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a5a923e3611c85e653724ac7bf162876c39f8453 | 2,289 | py | Python | Bolivian_Lowlands/Specific_loads_lowlands/health_center.py | CIE-UMSS/VLIR_Energy_Demand | 3a9c7a034ac6ff668c7734597daf4696f62ef671 | [
"MIT"
] | null | null | null | Bolivian_Lowlands/Specific_loads_lowlands/health_center.py | CIE-UMSS/VLIR_Energy_Demand | 3a9c7a034ac6ff668c7734597daf4696f62ef671 | [
"MIT"
] | null | null | null | Bolivian_Lowlands/Specific_loads_lowlands/health_center.py | CIE-UMSS/VLIR_Energy_Demand | 3a9c7a034ac6ff668c7734597daf4696f62ef671 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 13 11:10:35 2021
@author: Clau
"""
'''
Paper: Energy sufficiency, lowlands.
User: Health Center
'''
from core import User
User_list = []
#Definig users
HC = User("Health center", 1)
User_list.append(HC)
HC_indoor_bulb = HC.Appliance(HC,20,7,2,690,... | 29.727273 | 80 | 0.688947 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 13 11:10:35 2021
@author: Clau
"""
'''
Paper: Energy sufficiency, lowlands.
User: Health Center
'''
from core import User, np
User_list = []
#Definig users
HC = User("Health center", 1)
User_list.append(HC)
HC_indoor_bulb = HC.Appliance(HC,20,7,2,... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 |
f03a89170ccf4e3e9ab10141c5574ff7955a07f6 | 2,004 | py | Python | Supervised Learning/LassoElasticNet_SparseSignals.py | mrchipset/sklearn-tutorial | 2a5e6500e325f03736fa3c27f7da94851df7802c | [
"MIT"
] | null | null | null | Supervised Learning/LassoElasticNet_SparseSignals.py | mrchipset/sklearn-tutorial | 2a5e6500e325f03736fa3c27f7da94851df7802c | [
"MIT"
] | null | null | null | Supervised Learning/LassoElasticNet_SparseSignals.py | mrchipset/sklearn-tutorial | 2a5e6500e325f03736fa3c27f7da94851df7802c | [
"MIT"
] | null | null | null | """
Estimate Lasso and Elastic-Net regression models on a manually generated sparse
signal corrupted with an additive noise.
"""
# %%
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import r2_score
from sklearn.model_selection import train_test_split
np.random.seed(42)
n_samples, n_features = 5... | 28.225352 | 79 | 0.636228 | """
Estimate Lasso and Elastic-Net regression models on a manually generated sparse
signal corrupted with an additive noise.
"""
# %%
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import r2_score
from sklearn.model_selection import train_test_split
np.random.seed(42)
n_samples, n_features = 5... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2d8cfcb2b4992dc0a61b80a73c31708a2e8a0c5b | 524 | py | Python | codewars/src/nthfib.py | wenima/math-series | 60aa0b0c845bd859a1bf936c7e200f60ecfce026 | [
"MIT"
] | null | null | null | codewars/src/nthfib.py | wenima/math-series | 60aa0b0c845bd859a1bf936c7e200f60ecfce026 | [
"MIT"
] | null | null | null | codewars/src/nthfib.py | wenima/math-series | 60aa0b0c845bd859a1bf936c7e200f60ecfce026 | [
"MIT"
] | 1 | 2019-10-03T07:38:06.000Z | 2019-10-03T07:38:06.000Z | """This module solves kata https://www.codewars.com/kata/n-th-fibonacci."""
def original_solution(n):
"""Return the nth fibonacci number."""
if n == 1:
return 0
a, b = 0, 1
for i in range(1, n - 1):
a, b = b, (a + b)
return b
#better solution
def nth_fib(n):
"""Return the nth f... | 26.2 | 76 | 0.576336 | """This module solves kata https://www.codewars.com/kata/n-th-fibonacci."""
def original_solution(n):
"""Return the nth fibonacci number."""
if n == 1:
return 0
a, b = 0, 1
for i in range(1, n - 1):
a, b = b, (a + b)
return b
#better solution
def nth_fib(n):
"""Return the nth f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c7e2e215de5909b895886904ae3106daffa4726c | 12,315 | py | Python | ForensicsTool/ForensicsTool/module5.py | deepak7mahto/ForensicsTool | 17ae45a5a12093f38eaeb309745588464b694fa4 | [
"MIT"
] | null | null | null | ForensicsTool/ForensicsTool/module5.py | deepak7mahto/ForensicsTool | 17ae45a5a12093f38eaeb309745588464b694fa4 | [
"MIT"
] | null | null | null | ForensicsTool/ForensicsTool/module5.py | deepak7mahto/ForensicsTool | 17ae45a5a12093f38eaeb309745588464b694fa4 | [
"MIT"
] | null | null | null |
#module 5 - Browser Forensics
| 42.030717 | 228 | 0.579862 | import random_functions, colorama, Forensics_tool_redesigned_using_oops
import sqlite3, getpass, os
#module 5 - Browser Forensics
class Browser_forensics_class(random_functions.random_functions_class):
def module5(self):
try:
self.seperator()
print "Browser Forensc... | 0 | 0 | 0 | 12,157 | 0 | 0 | 0 | 56 | 70 |
7a4c90472f6efd1274fd3d071913a5e18521bd2c | 1,863 | py | Python | tests/test_issue.py | shibing624/text2vec | ec148815d57e7d6a420aee679a66620a5357b269 | [
"Apache-2.0"
] | 380 | 2019-12-12T02:24:05.000Z | 2022-03-31T16:08:53.000Z | tests/test_issue.py | shibing624/text2vec | ec148815d57e7d6a420aee679a66620a5357b269 | [
"Apache-2.0"
] | 32 | 2019-12-06T05:50:47.000Z | 2022-03-29T14:34:29.000Z | tests/test_issue.py | shibing624/text2vec | ec148815d57e7d6a420aee679a66620a5357b269 | [
"Apache-2.0"
] | 72 | 2020-01-15T02:40:04.000Z | 2022-03-29T09:11:12.000Z | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
import unittest
sys.path.append('..')
from text2vec import SBert
sbert_model = SBert('paraphrase-multilingual-MiniLM-L12-v2')
if __name__ == '__main__':
unittest.main()
| 28.661538 | 82 | 0.602254 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
import unittest
sys.path.append('..')
from text2vec import SBert
from text2vec import BM25
from sentence_transformers.util import cos_sim
sbert_model = SBert('paraphrase-multilingual-MiniLM-L12-v2')
def sbert_sim_score(str_a... | 780 | 0 | 0 | 1,091 | 0 | 122 | 0 | 29 | 90 |
60b9ae7a5f59803f75974869de5cfb77eb8b527c | 1,154 | py | Python | snippets/ch07/ngrams.py | kratunko/atap | 982b925e10b89ec79df7adc4eae3595622e0945c | [
"Apache-2.0"
] | 360 | 2017-04-26T09:24:22.000Z | 2022-03-12T15:26:54.000Z | snippets/ch07/ngrams.py | nguyenhonghaidang/atap | eab89ecc2ac78999aea20bd704d6212f0fb520dd | [
"Apache-2.0"
] | 101 | 2017-04-17T19:12:02.000Z | 2020-12-28T22:38:44.000Z | snippets/ch07/ngrams.py | nguyenhonghaidang/atap | eab89ecc2ac78999aea20bd704d6212f0fb520dd | [
"Apache-2.0"
] | 297 | 2017-07-07T04:08:06.000Z | 2022-03-18T06:45:33.000Z | #!/usr/bin/env python3
import argparse
from nltk import word_tokenize
from nltk import ngrams as nltk_ngrams
from functools import partial
LPAD_SYMBOL = "<s>"
RPAD_SYMBOL = "</s>"
nltk_ngrams = partial(nltk_ngrams,
pad_right=True, pad_left=True,
right_pad_symbol=RPAD_SYMBOL, left_pad_symbol=LPAD_SYMBOL
)
... | 25.644444 | 80 | 0.67851 | #!/usr/bin/env python3
import sys
import argparse
from nltk import sent_tokenize
from nltk import word_tokenize
from nltk import ngrams as nltk_ngrams
from functools import partial
LPAD_SYMBOL = "<s>"
RPAD_SYMBOL = "</s>"
nltk_ngrams = partial(nltk_ngrams,
pad_right=True, pad_left=True,
right_pad_symbol=RPA... | 0 | 0 | 0 | 0 | 219 | 0 | 0 | -2 | 92 |
906adac84f4a60ef82b34b38b84d0390bbd9027f | 1,551 | py | Python | small_satrn_inference.py | Nivratti/ocr-vedastr | 11b90e94c881883ff65ec2aa248862acf3e33601 | [
"Apache-2.0"
] | null | null | null | small_satrn_inference.py | Nivratti/ocr-vedastr | 11b90e94c881883ff65ec2aa248862acf3e33601 | [
"Apache-2.0"
] | null | null | null | small_satrn_inference.py | Nivratti/ocr-vedastr | 11b90e94c881883ff65ec2aa248862acf3e33601 | [
"Apache-2.0"
] | null | null | null | """
Usage:
python small_satrn_inference.py vedastr/test.jpg
"""
from pathlib import Path
home = str(Path.home())
if __name__ == '__main__':
main() | 26.288136 | 91 | 0.691167 | """
Usage:
python small_satrn_inference.py vedastr/test.jpg
"""
import argparse
import os
import sys
import cv2
from vedastr.runners import InferenceRunner
from vedastr.utils import Config
from pathlib import Path
from vedastr.helper import download_drive_file
home = str(Path.home())
def load_model():
cfg_pat... | 0 | 0 | 0 | 0 | 0 | 1,177 | 0 | 18 | 202 |
6fdea7ea56fc239f001854792c0539ea0c4180e1 | 2,076 | py | Python | src/0016路径总和/index.py | zzh2036/OneDayOneLeetcode | 1198692e68f8f0dbf15555e45969122e1a92840a | [
"MIT"
] | null | null | null | src/0016路径总和/index.py | zzh2036/OneDayOneLeetcode | 1198692e68f8f0dbf15555e45969122e1a92840a | [
"MIT"
] | null | null | null | src/0016路径总和/index.py | zzh2036/OneDayOneLeetcode | 1198692e68f8f0dbf15555e45969122e1a92840a | [
"MIT"
] | null | null | null | '''
:
'''
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
| 31.454545 | 84 | 0.536127 | '''
给定一个二叉树和一个目标和，判断该树中是否存在根节点到叶子节点的路径，这条路径上所有节点值相加等于目标和。
说明: 叶子节点是指没有子节点的节点。
返回值：布尔值
'''
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
from collections import deque
class Solution:
def hasPathSu... | 255 | 0 | 0 | 1,759 | 0 | 0 | 0 | 8 | 45 |
69f60ca941d912808b279624b40396aa3e245b29 | 3,227 | py | Python | gtsfm/frontend/matcher/twoway_matcher.py | swershrimpy/gtsfm | 8d301eb3ef9172345a1ac1369fd4e19764d28946 | [
"Apache-2.0"
] | 122 | 2021-02-07T23:01:58.000Z | 2022-03-30T13:10:35.000Z | gtsfm/frontend/matcher/twoway_matcher.py | swershrimpy/gtsfm | 8d301eb3ef9172345a1ac1369fd4e19764d28946 | [
"Apache-2.0"
] | 273 | 2021-01-30T16:45:26.000Z | 2022-03-16T15:02:33.000Z | gtsfm/frontend/matcher/twoway_matcher.py | swershrimpy/gtsfm | 8d301eb3ef9172345a1ac1369fd4e19764d28946 | [
"Apache-2.0"
] | 13 | 2021-03-12T03:01:27.000Z | 2022-03-11T03:16:54.000Z | """Two way (mutual nearest neighbor) matcher.
Authors: Ayush Baid
"""
| 36.258427 | 99 | 0.662225 | """Two way (mutual nearest neighbor) matcher.
Authors: Ayush Baid
"""
from typing import Tuple
import cv2 as cv
import numpy as np
from enum import Enum
from gtsfm.common.keypoints import Keypoints
from gtsfm.frontend.matcher.matcher_base import MatcherBase
class MatchingDistanceType(Enum):
"""Type of distance... | 0 | 0 | 0 | 2,918 | 0 | 0 | 0 | 56 | 180 |
9d1bdce1e84ea9684a0703d1c59967a6b5504000 | 1,489 | py | Python | 05_scrapy/mercadolibre/mercadolibre/spiders/spiderTelefono.py | 2018-B-GR1-Python/Velasco-Yepez-Andres-David | 0c017d6e5f169f31207ddec5ceffc8dd82d327eb | [
"MIT"
] | null | null | null | 05_scrapy/mercadolibre/mercadolibre/spiders/spiderTelefono.py | 2018-B-GR1-Python/Velasco-Yepez-Andres-David | 0c017d6e5f169f31207ddec5ceffc8dd82d327eb | [
"MIT"
] | null | null | null | 05_scrapy/mercadolibre/mercadolibre/spiders/spiderTelefono.py | 2018-B-GR1-Python/Velasco-Yepez-Andres-David | 0c017d6e5f169f31207ddec5ceffc8dd82d327eb | [
"MIT"
] | 1 | 2019-10-21T19:27:12.000Z | 2019-10-21T19:27:12.000Z |
## #comment_js_7me > div > div > div > div:nth-child(2) > div > div > div > div.UFICommentContent > div._26f8 > div > span
| 36.317073 | 122 | 0.612492 | import scrapy
from scrapy.loader import ItemLoader
from mercadolibre.items import CelularItem
def exportar_csv(titulo, precio, link):
with open('telefonos.csv', 'a') as lista:
lista.write(f'{titulo},{precio},{link}\n')
lista.close()
## #comment_js_7me > div > div > div > div:nth-child(... | 0 | 0 | 0 | 1,077 | 0 | 145 | 0 | 28 | 112 |
a7811d647b3531db47629ef05b4f782c03e57aed | 3,068 | py | Python | Competing_Algorithm/utils/sampleZ.py | ZhiQiu976/project-Indian-Buffet-Process | a4817550f2ca1778333066fa03ec6bb5b9cb4240 | [
"MIT"
] | null | null | null | Competing_Algorithm/utils/sampleZ.py | ZhiQiu976/project-Indian-Buffet-Process | a4817550f2ca1778333066fa03ec6bb5b9cb4240 | [
"MIT"
] | null | null | null | Competing_Algorithm/utils/sampleZ.py | ZhiQiu976/project-Indian-Buffet-Process | a4817550f2ca1778333066fa03ec6bb5b9cb4240 | [
"MIT"
] | 1 | 2020-04-30T17:26:26.000Z | 2020-04-30T17:26:26.000Z | """This module will update a binary feature matrix Z."""
import numpy as np
import numpy.random as nr
from . import logPX
from . import logPV
from . import sampleV # slice sampler
def sampleZ(X, Z, A, sigma_x, sigma_a, alpha, K, N, D, realvaluedZ, proposeNewfeature):
"""Drawing Z using an uncollapsed Gibbs sampl... | 36.963855 | 88 | 0.518253 | """This module will update a binary feature matrix Z."""
import numpy as np
import numpy.random as nr
from . import logPX
from . import logPV
from . import sampleV # slice sampler
def sampleZ(X, Z, A, sigma_x, sigma_a, alpha, K, N, D, realvaluedZ, proposeNewfeature):
"""Drawing Z using an uncollapsed Gibbs sampl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a84e390e80d0c49e198a6ba290ce1f9df51df7a9 | 323 | py | Python | code-maker/util/standardlize_lflr.py | happyxianyu/SDML | 4a85e47f8e5b0429f135af4e49639538ddb1fe1e | [
"Apache-2.0"
] | null | null | null | code-maker/util/standardlize_lflr.py | happyxianyu/SDML | 4a85e47f8e5b0429f135af4e49639538ddb1fe1e | [
"Apache-2.0"
] | null | null | null | code-maker/util/standardlize_lflr.py | happyxianyu/SDML | 4a85e47f8e5b0429f135af4e49639538ddb1fe1e | [
"Apache-2.0"
] | null | null | null |
for p in source_file_paths + header_file_paths:
content = None
with p.open('r') as fr:
content = fr.read()
if content != None and '\r' in content:
print(p)
with p.open('w', encoding = 'UTF-8') as fw:
fw.write(content)
| 24.846154 | 51 | 0.582043 | from cbutil import Path
from pathinfo import *
for p in source_file_paths + header_file_paths:
content = None
with p.open('r') as fr:
content = fr.read()
if content != None and '\r' in content:
print(p)
with p.open('w', encoding = 'UTF-8') as fw:
fw.write(content)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 44 |
39ab4d9185087575448232d31b5e410639545354 | 548 | py | Python | sbersignal/migrations/0009_auto_20160410_1018.py | kamirt/fordjango | 7ef929facc3f7126de889e76d40441aa7fe620d3 | [
"MIT"
] | null | null | null | sbersignal/migrations/0009_auto_20160410_1018.py | kamirt/fordjango | 7ef929facc3f7126de889e76d40441aa7fe620d3 | [
"MIT"
] | null | null | null | sbersignal/migrations/0009_auto_20160410_1018.py | kamirt/fordjango | 7ef929facc3f7126de889e76d40441aa7fe620d3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-04-10 03:18
from __future__ import unicode_literals
| 26.095238 | 140 | 0.624088 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-04-10 03:18
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sbersignal', '0008_auto_20160410_1008'),
]
operations = [
migrations.AlterFi... | 40 | 0 | 0 | 350 | 0 | 0 | 0 | 19 | 46 |
71b3dd278d866246c7f7fea87727a4a5e03bd83f | 5,318 | py | Python | app.py | gSilas/pride-data-downloader | fdb040613bc0f1d75d04160e6fe313530cf5a86f | [
"MIT"
] | null | null | null | app.py | gSilas/pride-data-downloader | fdb040613bc0f1d75d04160e6fe313530cf5a86f | [
"MIT"
] | null | null | null | app.py | gSilas/pride-data-downloader | fdb040613bc0f1d75d04160e6fe313530cf5a86f | [
"MIT"
] | null | null | null | import logging
import argparse
import sys
import os
import json
import time
import datetime
from writers import csv_writer
from writers import json_writer
from utils import memory_limit
from accessors.pride_data import get_projectlist, write_archive_file, download_projectlist
log = logging.getLogger('PrideData')
log... | 50.169811 | 159 | 0.679015 | import logging
import argparse
import sys
import os
import json
import time
import datetime
from writers import csv_writer
from writers import json_writer
from utils import get_memory
from utils import memory_limit
from accessors.pride_data import get_filelist, get_projectlist, write_archive_file, download_projectli... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 23 |
7a2ab09598b349ef22788cd20503fbc5b39ae441 | 6,153 | py | Python | tests/test_utils.py | jakub-w/youtube-dl-gui | ff807572f2dd08e51987fdcb351c8ab11cc03b38 | [
"Unlicense"
] | null | null | null | tests/test_utils.py | jakub-w/youtube-dl-gui | ff807572f2dd08e51987fdcb351c8ab11cc03b38 | [
"Unlicense"
] | null | null | null | tests/test_utils.py | jakub-w/youtube-dl-gui | ff807572f2dd08e51987fdcb351c8ab11cc03b38 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Contains test cases for the utils.py module."""
import sys
from pathlib import Path
PATH = Path(__file__).parent
sys.path.insert(0, str(PATH.parent))
if __name__ == "__main__":
main()
| 32.555556 | 97 | 0.672355 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Contains test cases for the utils.py module."""
import locale
import sys
import unittest
from pathlib import Path
from unittest import mock
PATH = Path(__file__).parent
sys.path.insert(0, str(PATH.parent))
from youtube_dl_gui import utils
class TestUtils(unittest.... | 0 | 1,149 | 0 | 4,517 | 0 | 10 | 0 | 1 | 228 |
cc7906aa4ac492f7c84ee450ee655dcb15a23c8b | 41 | py | Python | fastsparse/__init__.py | dcato98/fastsparse | 1a21fb95e1032f6578e196866bf8b14c5f4dd5cf | [
"Apache-2.0"
] | 8 | 2020-11-20T14:53:17.000Z | 2021-02-03T08:00:56.000Z | fastsparse/__init__.py | dcato98/fastsparse | 1a21fb95e1032f6578e196866bf8b14c5f4dd5cf | [
"Apache-2.0"
] | 3 | 2021-09-28T05:41:22.000Z | 2022-02-26T10:15:28.000Z | fastsparse/__init__.py | dcato98/fastsparse | 1a21fb95e1032f6578e196866bf8b14c5f4dd5cf | [
"Apache-2.0"
] | 1 | 2021-02-03T08:01:03.000Z | 2021-02-03T08:01:03.000Z | __version__ = "0.0.6" | 20.5 | 21 | 0.682927 | __version__ = "0.0.6"
from .core import * | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
ed765b4ce4aa56d61eef209b030265d4eded83b5 | 2,065 | py | Python | bin/render.py | ak15199/smith | 932d94f3c045f5344008e5f4c55acf8ba3c93270 | [
"Apache-2.0"
] | null | null | null | bin/render.py | ak15199/smith | 932d94f3c045f5344008e5f4c55acf8ba3c93270 | [
"Apache-2.0"
] | null | null | null | bin/render.py | ak15199/smith | 932d94f3c045f5344008e5f4c55acf8ba3c93270 | [
"Apache-2.0"
] | null | null | null |
BEFORE="""{% extends 'layouts/main.html' %}
{% block content %}
"""
AFTER="""
{% endblock %}
"""
# add option for substitution
if __name__ == '__main__':
main()
| 22.445652 | 76 | 0.549637 | import os
from jinja2 import Environment, FileSystemLoader
import pypandoc
import click
import pathlib
import re
BEFORE="""{% extends 'layouts/main.html' %}
{% block content %}
"""
AFTER="""
{% endblock %}
"""
def block(name, string):
return f"{{% block {name} %}}{string}{{% endblock {name} %}}"
def substituti... | 0 | 1,097 | 0 | 0 | 0 | 615 | 0 | -19 | 200 |
3b73b6f0fb61a5565efb1f2d37f81a60c693b66e | 2,372 | py | Python | testcases/cloud_admin/3-1/Euca2244.py | tbeckham/eutester | 1440187150ce284bd87147e71ac7f0fda194b4d9 | [
"BSD-2-Clause"
] | null | null | null | testcases/cloud_admin/3-1/Euca2244.py | tbeckham/eutester | 1440187150ce284bd87147e71ac7f0fda194b4d9 | [
"BSD-2-Clause"
] | null | null | null | testcases/cloud_admin/3-1/Euca2244.py | tbeckham/eutester | 1440187150ce284bd87147e71ac7f0fda194b4d9 | [
"BSD-2-Clause"
] | null | null | null | '''
Created on Oct 18, 2012
@author: mmunn
Unit test : EUCA-2244 Default launch permission for user image (account resource)
The fix for this issue changes the database so euca_conf --initialize
must have been run with the fix present for this test to pass.
setUp ... | 42.357143 | 108 | 0.645447 | '''
Created on Oct 18, 2012
@author: mmunn
Unit test : EUCA-2244 Default launch permission for user image (account resource)
The fix for this issue changes the database so euca_conf --initialize
must have been run with the fix present for this test to pass.
setUp ... | 0 | 0 | 0 | 1,466 | 0 | 0 | 0 | 38 | 89 |
6579a6cd57eff4cc853026147ddae93636d80e36 | 7,749 | py | Python | django_remote_submission/migrations/0001_initial.py | YeemBoi/django-remote-submission | 665daa0701b7da5ac653115712d0c0f0aae041c6 | [
"ISC"
] | null | null | null | django_remote_submission/migrations/0001_initial.py | YeemBoi/django-remote-submission | 665daa0701b7da5ac653115712d0c0f0aae041c6 | [
"ISC"
] | null | null | null | django_remote_submission/migrations/0001_initial.py | YeemBoi/django-remote-submission | 665daa0701b7da5ac653115712d0c0f0aae041c6 | [
"ISC"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-08-09 19:01
from __future__ import unicode_literals
import django.db.models.deletion
| 71.091743 | 304 | 0.657246 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-08-09 19:01
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import django_remote_submission.models
import model_utils.fields
impor... | 0 | 0 | 0 | 7,398 | 0 | 0 | 0 | 48 | 156 |
12f11a88f3f1c03914d13b1857180f03b7eac300 | 966 | py | Python | test-unit.py | lohhenzo/RAID-Validator | 53a881b1d1d53950ed46cce794ed89d4571c5571 | [
"MIT"
] | null | null | null | test-unit.py | lohhenzo/RAID-Validator | 53a881b1d1d53950ed46cce794ed89d4571c5571 | [
"MIT"
] | null | null | null | test-unit.py | lohhenzo/RAID-Validator | 53a881b1d1d53950ed46cce794ed89d4571c5571 | [
"MIT"
] | null | null | null |
path = '/home/lorenzo/projects/assets/GCF_52/'
#testMultiple()
#testOne('20674984470_1')
#testOne('20675014450_1')
#testOne('20673569920_1')
testWS('20673569920_1')
| 23 | 67 | 0.621118 | import os,urllib, urllib2
import raid
path = '/home/lorenzo/projects/assets/GCF_52/'
def testMultiple():
gcfList = {}
for filename in os.listdir(path):
gcf = {filename: None}
with open(path + filename, 'r') as file:
gcf[filename] = file.read()
gcfList.update(gcf)
prin... | 0 | 0 | 0 | 0 | 0 | 692 | 0 | -6 | 113 |
7f324987106b2c16809b2ce865e5540f8a9b5671 | 2,203 | py | Python | python/logger.py | MikaelBertze/HallonDispServer | 0fcd4794a896819eb83192dd54186066e239ca1f | [
"MIT"
] | null | null | null | python/logger.py | MikaelBertze/HallonDispServer | 0fcd4794a896819eb83192dd54186066e239ca1f | [
"MIT"
] | null | null | null | python/logger.py | MikaelBertze/HallonDispServer | 0fcd4794a896819eb83192dd54186066e239ca1f | [
"MIT"
] | null | null | null | import os
import paho.mqtt.client as mqtt
import mysql.connector
print("Starting up!")
sql_host = os.environ['SQL_HOST']
sql_user = os.environ['SQL_USER']
sql_passwd = os.environ['SQL_PASSWD']
sql_database = os.environ['SQL_DATABASE']
mqtt_host = os.environ['MQTT_HOST']
mqtt_user = os.environ['MQTT_USER']
mqtt_... | 30.178082 | 103 | 0.674989 | import os
import paho.mqtt.client as mqtt
import time
import mysql.connector
import json
def on_message(lient, userdata, message):
global cnx
query = None
data = None
if message.topic == "house/water":
sensor_data = json.loads(str(message.payload.decode("utf-8")))
query = "INSERT INTO ... | 0 | 0 | 0 | 0 | 0 | 1,180 | 0 | -20 | 91 |
852e86f7ad8d09abceca87e8aa203bbf3768c7d0 | 303 | py | Python | pdf.py | ash-ishh/tweetcompile | 771dc4f4343bbab5949c9a9d1518fb757eb7516e | [
"MIT"
] | 2 | 2019-05-28T12:00:03.000Z | 2019-06-01T15:25:21.000Z | pdf.py | ash-ishh/tweetcompile | 771dc4f4343bbab5949c9a9d1518fb757eb7516e | [
"MIT"
] | 1 | 2019-05-28T12:00:52.000Z | 2019-05-28T12:00:52.000Z | pdf.py | ash-ishh/tweetcompile | 771dc4f4343bbab5949c9a9d1518fb757eb7516e | [
"MIT"
] | 1 | 2022-01-13T15:34:19.000Z | 2022-01-13T15:34:19.000Z |
PAGE_SIZE = "A4" | 21.642857 | 66 | 0.60066 | import os
import pdfkit
PAGE_SIZE = "A4"
class PDF:
def __init__(self):
self.options = {
'page-size': PAGE_SIZE,
}
def save_pdf(self, html_path, output_file):
with open(html_path) as f:
pdfkit.from_file(f, output_file, options=self.options) | 0 | 0 | 0 | 239 | 0 | 0 | 0 | -20 | 67 |
9c6105eebc990bfd34be438ec315fcbdf3a0fed8 | 1,690 | py | Python | visualizer/plot_mf_param_opt/plot_fidelity/plot_eval_num_bar.py | buctlab/NIO | 094e688dd1cd3def7f31cd16ff927d4324651422 | [
"Apache-2.0"
] | 4 | 2020-09-23T09:12:10.000Z | 2022-01-17T08:43:32.000Z | visualizer/plot_mf_param_opt/plot_fidelity/plot_eval_num_bar.py | buctlab/NIO | 094e688dd1cd3def7f31cd16ff927d4324651422 | [
"Apache-2.0"
] | null | null | null | visualizer/plot_mf_param_opt/plot_fidelity/plot_eval_num_bar.py | buctlab/NIO | 094e688dd1cd3def7f31cd16ff927d4324651422 | [
"Apache-2.0"
] | 5 | 2020-12-02T08:03:55.000Z | 2022-03-05T18:04:00.000Z | import pandas as pd
import logging
logging.basicConfig()
logger = logging.getLogger('PlotEvalNumBar')
logger.setLevel('INFO')
if __name__ == '__main__':
csv_path = r"../../../tests/mf_param_opt_tests/output/FidelityLevelTest.csv"
bar_path = r"output/PlotEvalNumBar/FidelityLevelEvalNum.png"
data = pd.rea... | 30.178571 | 127 | 0.638462 | import matplotlib.pyplot as plt
from numpy import arange
import pandas as pd
import os
import logging
logging.basicConfig()
logger = logging.getLogger('PlotEvalNumBar')
logger.setLevel('INFO')
class PlotEvalNumBar:
def __init__(self, data, path, show=False):
self.data = data
self.path = path
... | 0 | 0 | 0 | 1,135 | 0 | 0 | 0 | 1 | 89 |
9beb3af02e0bfcd3027ca500a5a12142cae0e066 | 1,762 | py | Python | examples/IrisClassification/predict.py | mlflow/mlflow-torchserve | 91663b630ef12313da3ad821767faf3fc409345b | [
"Apache-2.0"
] | 40 | 2020-11-13T02:08:10.000Z | 2022-03-27T07:41:57.000Z | examples/IrisClassification/predict.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 23 | 2020-11-16T11:28:01.000Z | 2021-09-23T11:28:24.000Z | examples/IrisClassification/predict.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 15 | 2020-11-13T10:25:25.000Z | 2022-02-01T10:13:20.000Z | from argparse import ArgumentParser
if __name__ == "__main__":
parser = ArgumentParser(description="Iris Classifiation Model")
parser.add_argument(
"--target",
type=str,
default="torchserve",
help="MLflow target (default: torchserve)",
)
parser.add_argument(
... | 25.536232 | 94 | 0.650397 | import os
import json
import torch
import ast
from argparse import ArgumentParser
from mlflow.deployments import get_deploy_client
def convert_input_to_tensor(data):
data = json.loads(data).get("data")
input_tensor = torch.Tensor(ast.literal_eval(data[0]))
return input_tensor
def predict(parser_args):
... | 0 | 0 | 0 | 0 | 0 | 773 | 0 | -15 | 157 |
9b4cd6cac2f96c8e33cf4dfbdc876f8d09f61578 | 2,215 | py | Python | maskrcnn.py | DinoHub/maskrcnn-benchmark | 1de62203fd4d9857d2e5be355dcb7506bdfe6947 | [
"MIT"
] | 1 | 2019-07-17T03:55:03.000Z | 2019-07-17T03:55:03.000Z | maskrcnn.py | DinoHub/maskrcnn-benchmark | 1de62203fd4d9857d2e5be355dcb7506bdfe6947 | [
"MIT"
] | null | null | null | maskrcnn.py | DinoHub/maskrcnn-benchmark | 1de62203fd4d9857d2e5be355dcb7506bdfe6947 | [
"MIT"
] | null | null | null |
COCO_PERSON_INDEX = 1
if __name__ == '__main__':
import cv2
# import numpy as np
maskrcnn = MaskRCNN()
img_path = '/home/dh/Pictures/studio8-30Nov18/DSC03887.JPG'
img = cv2.imread(img_path)
# masks, bboxes =
chipsandmasks = maskrcnn.get_chips_and_masks(img)
print(len(chipsandmasks))
... | 31.197183 | 142 | 0.57833 | import torch
from predictor import COCODemo
from maskrcnn_benchmark.config import cfg
COCO_PERSON_INDEX = 1
class MaskRCNN(object):
def __init__(self, confidence_threshold=0.7):
cfg.merge_from_file('e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml')
cfg.MODEL.DEVICE
cfg.freeze()
self.model_wr... | 0 | 0 | 0 | 1,633 | 0 | 0 | 0 | 20 | 105 |
f66cbb97c270f0b535ca4ad7e5674286d81a84e8 | 7,751 | py | Python | src/spark/lang/bz.py | jbalint/spark | caccf1cd9122dd4a7dc0f26a57ee4a649056aa6f | [
"CNRI-Jython"
] | 1 | 2015-05-21T20:00:12.000Z | 2015-05-21T20:00:12.000Z | src/spark/lang/bz.py | jbalint/spark | caccf1cd9122dd4a7dc0f26a57ee4a649056aa6f | [
"CNRI-Jython"
] | null | null | null | src/spark/lang/bz.py | jbalint/spark | caccf1cd9122dd4a7dc0f26a57ee4a649056aa6f | [
"CNRI-Jython"
] | null | null | null | #*****************************************************************************#
#* Copyright (c) 2004-2008, SRI International. *#
#* All rights reserved. *#
#* ... | 47.845679 | 110 | 0.631531 | #*****************************************************************************#
#* Copyright (c) 2004-2008, SRI International. *#
#* All rights reserved. *#
#* ... | 0 | 0 | 0 | 1,278 | 137 | 425 | 0 | 168 | 265 |
b57ac56ea7ca46465f388084cf38f73565bb36b1 | 891 | py | Python | auxiliary/expfit/fexpfit.py | zat1gi/stochastic | 24f2b82f7fbe33671d7d6e0c0e8d1417edbe9cad | [
"BSD-3-Clause"
] | null | null | null | auxiliary/expfit/fexpfit.py | zat1gi/stochastic | 24f2b82f7fbe33671d7d6e0c0e8d1417edbe9cad | [
"BSD-3-Clause"
] | 38 | 2016-03-14T15:42:17.000Z | 2016-05-02T22:15:33.000Z | auxiliary/expfit/fexpfit.py | zat1gi/stochastic | 24f2b82f7fbe33671d7d6e0c0e8d1417edbe9cad | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# I read s [slab thickness], a [<sig^2>/<sig^2>], and lamcsig [log-normal lamc],
# generate the real log-normal covariance function, and curve fit an exponential
# to that data, yielding lamcw [Gaussian lamcw]. This allows use of exponential
# covariance with fitted correlation length with only m... | 35.64 | 80 | 0.736251 | #!/usr/bin/env python
# I read s [slab thickness], a [<sig^2>/<sig^2>], and lamcsig [log-normal lamc],
# generate the real log-normal covariance function, and curve fit an exponential
# to that data, yielding lamcw [Gaussian lamcw]. This allows use of exponential
# covariance with fitted correlation length with only m... | 0 | 0 | 0 | 0 | 0 | 171 | 0 | 0 | 46 |
0fb2223e04136b6d5add50420ab01f13e78cab6f | 5,354 | py | Python | helpers/gc_file_helpers.py | ibbad/dna-lceb-web | b4c1d4e121dfea992e072979bfdc0f313c781e32 | [
"Apache-2.0"
] | null | null | null | helpers/gc_file_helpers.py | ibbad/dna-lceb-web | b4c1d4e121dfea992e072979bfdc0f313c781e32 | [
"Apache-2.0"
] | null | null | null | helpers/gc_file_helpers.py | ibbad/dna-lceb-web | b4c1d4e121dfea992e072979bfdc0f313c781e32 | [
"Apache-2.0"
] | null | null | null | """
This module contains the helpers functions for reading genetic code table
information from json file.
"""
import json
# Read the list of genetic codes and associated files in a dictionary.
with open("gc_files/gc_file_associations.json") as gc_directory:
gc_file_associations = json.load(gc_directory)
def cod... | 33.254658 | 80 | 0.603661 | """
This module contains the helpers functions for reading genetic code table
information from json file.
"""
import json
# Read the list of genetic codes and associated files in a dictionary.
with open("gc_files/gc_file_associations.json") as gc_directory:
gc_file_associations = json.load(gc_directory)
def cod... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eb8ec8f0946f2390c366c75fcc2b4a6433a54953 | 572 | py | Python | master/admin.py | g12mcgov/grantmcgovern.com-V2 | 1fd920c6441dee914585577c5af6f2bc20309586 | [
"Unlicense",
"MIT"
] | 1 | 2015-07-27T22:07:30.000Z | 2015-07-27T22:07:30.000Z | master/admin.py | g12mcgov/grantmcgovern.com-V2 | 1fd920c6441dee914585577c5af6f2bc20309586 | [
"Unlicense",
"MIT"
] | 10 | 2020-02-11T22:43:05.000Z | 2022-03-11T23:13:08.000Z | master/admin.py | g12mcgov/grantmcgovern.com-V2 | 1fd920c6441dee914585577c5af6f2bc20309586 | [
"Unlicense",
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: grantmcgovern
# @Date: 2015-07-12 15:42:46
# @Email: me@grantmcgovern.com
# @Web: http://grantmcgovern.com
#
# @Last Modified by: grantmcgovern
# @Last Modified time: 2015-07-12 21:20:40
from django.contrib import admin
from models import WorkExperi... | 23.833333 | 56 | 0.730769 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: grantmcgovern
# @Date: 2015-07-12 15:42:46
# @Email: me@grantmcgovern.com
# @Web: http://grantmcgovern.com
#
# @Last Modified by: grantmcgovern
# @Last Modified time: 2015-07-12 21:20:40
from django.contrib import admin
from models import WorkExperi... | 0 | 0 | 0 | 54 | 0 | 40 | 0 | 28 | 68 |
1aa29ea8e7e27d2762e41893de73c8e7fd40483c | 1,088 | py | Python | start-demos/lesson06/scores.py | Andyliwr/PythonStudyLoad | 24d78da61740e310c33c3769c93a207bf0e665c8 | [
"MIT"
] | 1 | 2018-12-11T07:59:44.000Z | 2018-12-11T07:59:44.000Z | start-demos/lesson06/scores.py | Andyliwr/python-learn | 24d78da61740e310c33c3769c93a207bf0e665c8 | [
"MIT"
] | null | null | null | start-demos/lesson06/scores.py | Andyliwr/python-learn | 24d78da61740e310c33c3769c93a207bf0e665c8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#-*-coding:utf-8*-
#
student_num = int(input(': '))
student_name, physics_score, maths_score, history_score = '', 0, 0, 0
all_scores = []
for i in range(student_num):
student_name = input(' {} : '.format(i+1))
physics_score = float(input(' {} : '.format(student_name)))
maths_score = float(i... | 49.454545 | 139 | 0.69761 | #!/usr/bin/env python
#-*-coding:utf-8*-
# 程序实现的功能：计算分数
student_num = int(input('请输入学生数量: '))
student_name, physics_score, maths_score, history_score = '', 0, 0, 0
all_scores = []
for i in range(student_num):
student_name = input('请输入第 {} 个学生的姓名: '.format(i+1))
physics_score = float(input('请输入 {} 的物理成绩: '.format(st... | 222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
92c5e9962b0c3c515e55547f7215a4ab353c3313 | 21,832 | py | Python | proj/pred/app/run_job.py | ElofssonLab/web_topcons2 | 52b9a3ef9ca5e5392cf9b310a52f99e9422172ea | [
"MIT"
] | 1 | 2018-11-07T21:16:13.000Z | 2018-11-07T21:16:13.000Z | proj/pred/app/run_job.py | NBISweden/predictprotein-webserver-topcons2 | 78d4cfbf09b51c928639aea67063340ae4cc8c57 | [
"MIT"
] | 15 | 2019-03-04T14:22:52.000Z | 2022-03-11T14:05:34.000Z | proj/pred/app/run_job.py | NBISweden/predictprotein-webserver-topcons2 | 78d4cfbf09b51c928639aea67063340ae4cc8c57 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Description: run job
# ChangeLog
#
# ChangeLog 2015-02-12
# submit individual sequences to the workflow, so that the result of each
# sequence can be cached and the progress can be shown for a job with many
# sequences
# ChangeLog 2015-03-26
# the tmpdir is rem... | 41.348485 | 111 | 0.579883 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Description: run job
# ChangeLog
#
# ChangeLog 2015-02-12
# submit individual sequences to the workflow, so that the result of each
# sequence can be cached and the progress can be shown for a job with many
# sequences
# ChangeLog 2015-03-26
# the tmpdir is rem... | 0 | 0 | 0 | 0 | 0 | 17,530 | 0 | -54 | 223 |
541933e5eeb34eaaebb9b988a5367b63684e44d8 | 3,004 | py | Python | src/ezdxf/math/__init__.py | mbway/ezdxf | d0b12ed8ddfa2225d11e61120d1f3ef24e4abb9c | [
"MIT"
] | null | null | null | src/ezdxf/math/__init__.py | mbway/ezdxf | d0b12ed8ddfa2225d11e61120d1f3ef24e4abb9c | [
"MIT"
] | null | null | null | src/ezdxf/math/__init__.py | mbway/ezdxf | d0b12ed8ddfa2225d11e61120d1f3ef24e4abb9c | [
"MIT"
] | null | null | null | # Purpose: math and construction tools
# Created: 27.03.2010, 2018 integrated into ezdxf
# Copyright (c) 2010-2020, Manfred Moitzi
# License: MIT License
def xround(value: float, rounding: float = 0.) -> float:
"""
Extended rounding function, argument `rounding` defines the rounding limit:
======= ======... | 43.536232 | 117 | 0.750666 | # Purpose: math and construction tools
# Created: 27.03.2010, 2018 integrated into ezdxf
# Copyright (c) 2010-2020, Manfred Moitzi
# License: MIT License
from .vector import Vector, Vec2, X_AXIS, Y_AXIS, Z_AXIS, NULLVEC
from .construct2d import (
is_close_points, closest_point, convex_hull_2d, intersection_line_lin... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,529 | 484 |
9ba875b6dfa18a6ce87e0ef2c02764f0a2a5e96d | 452 | py | Python | pt-1/sem_3/9.sem3_extra1-even-or-odd.py | lucaszarza/python_coursera-usp-pt1 | eaf8d32ec09b82755f9716237ffadb0cf8d46169 | [
"Apache-2.0"
] | null | null | null | pt-1/sem_3/9.sem3_extra1-even-or-odd.py | lucaszarza/python_coursera-usp-pt1 | eaf8d32ec09b82755f9716237ffadb0cf8d46169 | [
"Apache-2.0"
] | null | null | null | pt-1/sem_3/9.sem3_extra1-even-or-odd.py | lucaszarza/python_coursera-usp-pt1 | eaf8d32ec09b82755f9716237ffadb0cf8d46169 | [
"Apache-2.0"
] | null | null | null |
main()
| 28.25 | 61 | 0.54646 | def main():
print("** Bem-vindo ao separador de pares e impares! **")
n1 = float(input("Digite o primeiro número: "))
n2 = float(input("Digite o segundo número: "))
n3 = float(input("Digite o terceiro número "))
n4 = float(input("Digite o quarto número "))
print("4" if n1 % 2 == 0 else "2"... | 8 | 0 | 0 | 0 | 0 | 413 | 0 | 0 | 22 |
2ea3f10d0aa5cb8c27294023860fcb0ae3084228 | 1,969 | py | Python | Algorithms_easy/1309. Decrypt String from Alphabet to Integer Mapping.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | 4 | 2020-08-11T20:45:15.000Z | 2021-03-12T00:33:34.000Z | Algorithms_easy/1309. Decrypt String from Alphabet to Integer Mapping.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | Algorithms_easy/1309. Decrypt String from Alphabet to Integer Mapping.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | """
1309. Decrypt String from Alphabet to Integer Mapping
Given a string s formed by digits ('0' - '9') and '#' . We want to map s to English lowercase characters as follows:
Characters ('a' to 'i') are represented by ('1' to '9') respectively.
Characters ('j' to 'z') are represented by ('10#' to '26#') respectively. ... | 26.972603 | 116 | 0.492128 | """
1309. Decrypt String from Alphabet to Integer Mapping
Given a string s formed by digits ('0' - '9') and '#' . We want to map s to English lowercase characters as follows:
Characters ('a' to 'i') are represented by ('1' to '9') respectively.
Characters ('j' to 'z') are represented by ('10#' to '26#') respectively. ... | 0 | 0 | 0 | 1,008 | 0 | 0 | 0 | 0 | 46 |
94d719247220b9c78f22ce9adad4ed0ba748ed29 | 286 | py | Python | example_idr.py | atharva-naik/social_media | 520964efe938fb89d3b1caa64b231ab1a63e6c76 | [
"BSD-3-Clause"
] | 7 | 2020-12-13T13:31:16.000Z | 2020-12-31T12:26:07.000Z | example_idr.py | atharva-naik/social_media | 520964efe938fb89d3b1caa64b231ab1a63e6c76 | [
"BSD-3-Clause"
] | 4 | 2021-04-06T18:41:34.000Z | 2021-09-08T02:52:35.000Z | example_idr.py | atharva-naik/social_media | 520964efe938fb89d3b1caa64b231ab1a63e6c76 | [
"BSD-3-Clause"
] | null | null | null | # to get instagram dms and reply to them
from social_media.instagram.base import InstagramEngine
i = InstagramEngine()
i.login()
profile = i.get_profile('a_the_rva', hard=True)
profile.mount()
messages = profile.get_messages()
for message in messages:
message.reply("I love you!") | 26 | 55 | 0.762238 | # to get instagram dms and reply to them
from social_media.instagram.base import InstagramEngine
i = InstagramEngine()
i.login()
profile = i.get_profile('a_the_rva', hard=True)
profile.mount()
messages = profile.get_messages()
for message in messages:
message.reply("I love you!") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6d0c3c06a47f9c4b82d0857063e25f6e299fa76d | 1,620 | py | Python | test/test_transient_keras_classifier.py | nswachow/SCST_Python | e1fcad12b5cac2136785c2e5725f9ea1292e8560 | [
"MIT"
] | 1 | 2020-11-19T20:59:06.000Z | 2020-11-19T20:59:06.000Z | test/test_transient_keras_classifier.py | nswachow/SCST_Python | e1fcad12b5cac2136785c2e5725f9ea1292e8560 | [
"MIT"
] | null | null | null | test/test_transient_keras_classifier.py | nswachow/SCST_Python | e1fcad12b5cac2136785c2e5725f9ea1292e8560 | [
"MIT"
] | null | null | null | from keras.models import Sequential
from keras.layers import Dense
from transient_keras.transient_keras_classifier import TransientKerasClassifier
from test_tools import getTrainDict, getTestSequence
def testKerasSequenceClassifier():
'''
Use randomly generated vector sequences to evaluate the ``TransientKer... | 31.153846 | 99 | 0.724074 | import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from transient_keras.transient_keras_classifier import TransientKerasClassifier
from test_tools import getTrainDict, getTestSequence
def testKerasSequenceClassifier():
'''
Use randomly generated vector sequences to evaluate... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
e475169a55fac3fd91a7b0a4e2d263cad7216384 | 13,098 | py | Python | vrc_online/session/views.py | IntusFacultas/ERC | b6ac71b6469f1325d5cdbd1761429f33d8a797b1 | [
"Apache-2.0"
] | null | null | null | vrc_online/session/views.py | IntusFacultas/ERC | b6ac71b6469f1325d5cdbd1761429f33d8a797b1 | [
"Apache-2.0"
] | null | null | null | vrc_online/session/views.py | IntusFacultas/ERC | b6ac71b6469f1325d5cdbd1761429f33d8a797b1 | [
"Apache-2.0"
] | null | null | null | # Avoid shadowing the login() and logout() views below.
from django.shortcuts import redirect
| 36.48468 | 86 | 0.621393 | import warnings
from django.conf import settings
# Avoid shadowing the login() and logout() views below.
from django.contrib import messages
from django.contrib.auth import (
get_user_model, update_session_auth_hash
)
from django.contrib.auth.forms import (
PasswordResetForm, SetPasswordForm, PasswordChangeFor... | 0 | 5,197 | 0 | 3,089 | 0 | 2,903 | 0 | 863 | 939 |
1357e4f8ed42457bb66767fe96aa7f66d28a41de | 1,863 | py | Python | hass_apps/loader.py | taste66/hass-apps | 93f03a823f0ed8b3b32be5da30c5aaf0fcb1d92a | [
"Apache-2.0"
] | null | null | null | hass_apps/loader.py | taste66/hass-apps | 93f03a823f0ed8b3b32be5da30c5aaf0fcb1d92a | [
"Apache-2.0"
] | null | null | null | hass_apps/loader.py | taste66/hass-apps | 93f03a823f0ed8b3b32be5da30c5aaf0fcb1d92a | [
"Apache-2.0"
] | null | null | null | """
This module contains code that dynamically scans for available apps
at module load time. For all apps found, a loader is generated which,
when called, imports the particular app and behaves like the app
class itself. The loaders are made available as module attributes
under the same name the corresponding app class... | 33.872727 | 75 | 0.70424 | """
This module contains code that dynamically scans for available apps
at module load time. For all apps found, a loader is generated which,
when called, imports the particular app and behaves like the app
class itself. The loaders are made available as module attributes
under the same name the corresponding app class... | 0 | 0 | 0 | 0 | 603 | 479 | 0 | -29 | 159 |
e6be95fb22b49aa360b1f08fbb9c102ecbfb83e2 | 40,892 | py | Python | src/estimagic/optimization/pygmo_optimizers.py | janosg/estimagic | 58e17ff94339076f4b7688b1dbef5685f48157e2 | [
"BSD-3-Clause"
] | 7 | 2019-05-11T07:19:46.000Z | 2019-05-31T07:03:13.000Z | src/estimagic/optimization/pygmo_optimizers.py | janosg/estimagic | 58e17ff94339076f4b7688b1dbef5685f48157e2 | [
"BSD-3-Clause"
] | 14 | 2019-05-04T14:15:52.000Z | 2019-06-10T11:45:27.000Z | src/estimagic/optimization/pygmo_optimizers.py | janosg/estimagic | 58e17ff94339076f4b7688b1dbef5685f48157e2 | [
"BSD-3-Clause"
] | 1 | 2019-05-21T08:44:37.000Z | 2019-05-21T08:44:37.000Z | """Implement pygmo optimizers."""
import warnings
from estimagic import batch_evaluators
from estimagic.config import IS_PYGMO_INSTALLED
from estimagic.exceptions import NotInstalledError
STOPPING_MAX_ITERATIONS_GENETIC = 250
try:
import pygmo as pg
except ImportError:
pass
# ===============... | 28.240331 | 91 | 0.667955 | """Implement pygmo optimizers."""
import warnings
import numpy as np
from estimagic import batch_evaluators
from estimagic.config import IS_PYGMO_INSTALLED
from estimagic.decorators import mark_minimizer
from estimagic.exceptions import NotInstalledError
from estimagic.optimization.algo_options import CONVERGENCE_RELA... | 0 | 33,347 | 0 | 612 | 0 | 2,005 | 0 | 164 | 618 |
aa8e80a11374f536d6f8226228fb4e265fc72598 | 7,616 | py | Python | src/python/site-packages/longbow/DoxygenReport.py | rayyagar/LongBow | 0efa9dbf16f8a7f4e71c3f445ce2a68221eaddb2 | [
"BSD-2-Clause"
] | null | null | null | src/python/site-packages/longbow/DoxygenReport.py | rayyagar/LongBow | 0efa9dbf16f8a7f4e71c3f445ce2a68221eaddb2 | [
"BSD-2-Clause"
] | null | null | null | src/python/site-packages/longbow/DoxygenReport.py | rayyagar/LongBow | 0efa9dbf16f8a7f4e71c3f445ce2a68221eaddb2 | [
"BSD-2-Clause"
] | null | null | null | #! /usr/bin/env python
# Copyright (c) 2015, Xerox Corporation (Xerox) and Palo Alto Research Center, Inc (PARC)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source cod... | 37.70297 | 113 | 0.676733 | #! /usr/bin/env python
# Copyright (c) 2015, Xerox Corporation (Xerox) and Palo Alto Research Center, Inc (PARC)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source cod... | 0 | 0 | 0 | 0 | 0 | 3,489 | 0 | -60 | 339 |
fd9284c572bc4169504dc1dff7cc22a2b558e89e | 283 | py | Python | Python/2021/Class 2/Student Code/Daksh Leekha/ass4.py | aravg12/summer-of-qode | bd9d11cd6ca41e4b19f25a0248ba25a7582b20e6 | [
"MIT"
] | 14 | 2021-05-30T08:18:59.000Z | 2021-06-08T14:28:18.000Z | Python/2021/Class 2/Student Code/Daksh Leekha/ass4.py | aravg12/summer-of-qode | bd9d11cd6ca41e4b19f25a0248ba25a7582b20e6 | [
"MIT"
] | 3 | 2021-06-02T15:26:16.000Z | 2021-06-06T10:17:39.000Z | Python/2021/Class 2/Student Code/Daksh Leekha/ass4.py | aravg12/summer-of-qode | bd9d11cd6ca41e4b19f25a0248ba25a7582b20e6 | [
"MIT"
] | 47 | 2021-05-26T14:59:12.000Z | 2021-06-12T12:01:57.000Z | while True:
num = float(input("Please enter a number: "))
if num > 10:
print(f"\nYour number, {num}, is more than 10!")
elif num < 10:
print(f"\nYour number, {num}, is less than 10!")
else:
print("\nYour number is equal to 10!")
| 23.583333 | 57 | 0.533569 | while True:
num = float(input("Please enter a number: "))
if num > 10:
print(f"\nYour number, {num}, is more than 10!")
elif num < 10:
print(f"\nYour number, {num}, is less than 10!")
else:
print("\nYour number is equal to 10!")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
03dbd00a43c371b0681fb38c5b89320067150321 | 572 | py | Python | workflow/migrations/0022_auto_20190830_0126.py | tanmayagarwal/Activity-CE | a49c47053b191ffa5aee9a06e66a7c9644804434 | [
"Apache-2.0"
] | 1 | 2021-07-07T14:39:23.000Z | 2021-07-07T14:39:23.000Z | workflow/migrations/0022_auto_20190830_0126.py | michaelbukachi/Activity | f3d4f4da88ae9539c341ca73cc559b850693d669 | [
"Apache-2.0"
] | null | null | null | workflow/migrations/0022_auto_20190830_0126.py | michaelbukachi/Activity | f3d4f4da88ae9539c341ca73cc559b850693d669 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2 on 2019-08-30 01:26
| 28.6 | 184 | 0.685315 | # Generated by Django 2.2 on 2019-08-30 01:26
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('workflow', '0021_auto_20190829_0154'),
]
operations = [
migrations.AlterField(
model_name='projec... | 0 | 0 | 0 | 427 | 0 | 0 | 0 | 30 | 68 |
02e37289e35d88f7b49409315dff85e822b7a9f9 | 587 | py | Python | Problemset/chou-shu-lcof/chou-shu-lcof.py | worldwonderer/algorithm | 083178b2d987de7f6020aceca869a353c0b4b1f3 | [
"MIT"
] | 1 | 2021-01-30T01:52:46.000Z | 2021-01-30T01:52:46.000Z | Problemset/chou-shu-lcof/chou-shu-lcof.py | worldwonderer/algorithm | 083178b2d987de7f6020aceca869a353c0b4b1f3 | [
"MIT"
] | 1 | 2021-12-15T14:54:06.000Z | 2021-12-15T14:54:06.000Z | Problemset/chou-shu-lcof/chou-shu-lcof.py | worldwonderer/algorithm | 083178b2d987de7f6020aceca869a353c0b4b1f3 | [
"MIT"
] | 2 | 2021-04-19T03:32:18.000Z | 2021-06-22T07:06:01.000Z |
# @Title: ( LCOF)
# @Author: 18015528893
# @Date: 2021-01-26 17:11:46
# @Runtime: 140 ms
# @Memory: 14.9 MB
if __name__ == '__main__':
s = Solution()
s.nthUglyNumber(10)
| 20.964286 | 50 | 0.413969 |
# @Title: 丑数 (丑数 LCOF)
# @Author: 18015528893
# @Date: 2021-01-26 17:11:46
# @Runtime: 140 ms
# @Memory: 14.9 MB
class Solution:
def nthUglyNumber(self, n: int) -> int:
dp = [1] * n
a, b, c = 0, 0, 0
for i in range(1, n):
n2, n3, n5 = 2*dp[a], 3*dp[b], 5*dp[c]
dp[i]... | 12 | 0 | 0 | 377 | 0 | 0 | 0 | 0 | 23 |
cef608a2677b59679950d1207c29fe7e139a9084 | 125 | py | Python | examples/underscored/class_attribute.py | doboy/Underscore | d98273db3144cda79191d2c90f45d81b6d700b1f | [
"MIT"
] | 7 | 2016-09-23T00:44:05.000Z | 2021-10-04T21:19:12.000Z | examples/underscored/class_attribute.py | jameswu1991/Underscore | d98273db3144cda79191d2c90f45d81b6d700b1f | [
"MIT"
] | 1 | 2016-09-23T00:45:05.000Z | 2019-02-16T19:05:37.000Z | examples/underscored/class_attribute.py | jameswu1991/Underscore | d98273db3144cda79191d2c90f45d81b6d700b1f | [
"MIT"
] | 3 | 2016-09-23T01:13:15.000Z | 2018-07-20T21:22:17.000Z | # class Bar:
# x = 1
#
# print(Bar.x)
(___,) = (1,)
print _.x
(Bar,) = (_,)
| 8.928571 | 16 | 0.384 | # class Bar:
# x = 1
#
# print(Bar.x)
(___,) = (1,)
class _:
__ = ___
(x,) = (__,)
print _.x
(Bar,) = (_,)
| 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 | 23 |
6460f246a4ce450308dee6dd7392b20d8dd71d9e | 3,612 | py | Python | tainan_scripts/parse_data.py | NCKU-CCS/dengue-fever-website | 6b0df1ffc1b1d9d35178c3de4e1b1190fda452e0 | [
"MIT"
] | null | null | null | tainan_scripts/parse_data.py | NCKU-CCS/dengue-fever-website | 6b0df1ffc1b1d9d35178c3de4e1b1190fda452e0 | [
"MIT"
] | null | null | null | tainan_scripts/parse_data.py | NCKU-CCS/dengue-fever-website | 6b0df1ffc1b1d9d35178c3de4e1b1190fda452e0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
import csv
from datetime import datetime
from geopy.distance import vincenty
import json
def write_csv(file_name, content):
"""write csv"""
with open(file_name, 'w') as output_file:
writer = csv.writer(output_file)
writer.writerows(content)
def ... | 31.684211 | 72 | 0.593023 | #!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
import requests
import csv
import sys
from datetime import datetime
from geopy.distance import vincenty
import json
def read_csv(file_name):
data = []
with open(file_name, 'r') as input_file:
reader = csv.reader(input_file)
for row in reader:
... | 12 | 0 | 0 | 0 | 0 | 206 | 0 | -17 | 66 |
71843a3646a5e48d45b9b291a93a48dccb1af0e1 | 13,874 | py | Python | copm_spider/sohu/sohu/spiders/bbs_spider.py | tzattack/public_opinion_analysis | ed29e5b53564563ac6233de7d49afdd5ee554920 | [
"MIT"
] | null | null | null | copm_spider/sohu/sohu/spiders/bbs_spider.py | tzattack/public_opinion_analysis | ed29e5b53564563ac6233de7d49afdd5ee554920 | [
"MIT"
] | null | null | null | copm_spider/sohu/sohu/spiders/bbs_spider.py | tzattack/public_opinion_analysis | ed29e5b53564563ac6233de7d49afdd5ee554920 | [
"MIT"
] | null | null | null |
bbs_city_url_list = [
"https://bbs.focus.cn/anshan/",
"https://bbs.focus.cn/ankang/",
"https://bbs.focus.cn/anqing/",
"https://bbs.focus.cn/anshun/",
"https://bbs.focus.cn/anyang/",
"https://bbs.focus.cn/aomen/",
"https://bbs.focus.cn/byne/",
"https://bbs.focus.cn/bazhong/",
"https:... | 36.510526 | 97 | 0.580006 | import re
import os
import shutil
import scrapy
from sohu.items import BBSItem
bbs_city_url_list = [
"https://bbs.focus.cn/anshan/",
"https://bbs.focus.cn/ankang/",
"https://bbs.focus.cn/anqing/",
"https://bbs.focus.cn/anshun/",
"https://bbs.focus.cn/anyang/",
"https://bbs.focus.cn/aomen/",
... | 15 | 0 | 0 | 3,525 | 0 | 0 | 0 | -31 | 133 |
7176bc4205f4322db3c5e7e892b53eb4fd2dc19b | 639 | py | Python | today_problems/211005/2616.py | mangab0159/baekjoon | c5f130d4068ae4a658ddbadf4b1f0cb0a8e00230 | [
"MIT"
] | null | null | null | today_problems/211005/2616.py | mangab0159/baekjoon | c5f130d4068ae4a658ddbadf4b1f0cb0a8e00230 | [
"MIT"
] | null | null | null | today_problems/211005/2616.py | mangab0159/baekjoon | c5f130d4068ae4a658ddbadf4b1f0cb0a8e00230 | [
"MIT"
] | null | null | null | import sys
ifunc, g = lambda: [*map(int, sys.stdin.readline().rstrip().split())], range
n = ifunc()[0]
iList = ifunc()
m = ifunc()[0]
dp = [[-1]*3 for _ in g(n)]
pSum = [0]
aSum = 0
for item in iList:
aSum += item
pSum.append(aSum)
for idx in g(n-1, -1, -1):
for cnt in g(3):
aVal = -1
b... | 17.75 | 76 | 0.458529 | import sys
ifunc, g = lambda: [*map(int, sys.stdin.readline().rstrip().split())], range
n = ifunc()[0]
iList = ifunc()
m = ifunc()[0]
dp = [[-1]*3 for _ in g(n)]
pSum = [0]
aSum = 0
for item in iList:
aSum += item
pSum.append(aSum)
for idx in g(n-1, -1, -1):
for cnt in g(3):
aVal = -1
b... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
916117d928266e5c477f46841db96a70176e9178 | 699 | py | Python | nautobot_chatops_ipfabric/context.py | justinjeffery-ipf/nautobot-plugin-chatops-ipfabric | 67e58e3d251b41227808cabd6120d78411193863 | [
"Apache-2.0"
] | 6 | 2021-11-26T15:50:21.000Z | 2022-01-25T18:36:44.000Z | nautobot_chatops_ipfabric/context.py | justinjeffery-ipf/nautobot-plugin-chatops-ipfabric | 67e58e3d251b41227808cabd6120d78411193863 | [
"Apache-2.0"
] | 21 | 2021-11-30T02:31:40.000Z | 2022-02-17T04:17:36.000Z | nautobot_chatops_ipfabric/context.py | justinjeffery-ipf/nautobot-plugin-chatops-ipfabric | 67e58e3d251b41227808cabd6120d78411193863 | [
"Apache-2.0"
] | 2 | 2022-01-18T17:53:29.000Z | 2022-02-16T16:06:15.000Z | """Functions for caching per-user context."""
import hashlib
from django.core.cache import cache
from . import IPFabricConfig
def _get_cache_key(user: str) -> str:
"""Key generator for the cache, adding the plugin prefix name."""
key_string = "-".join([IPFabricConfig.name, user])
return hashlib.md5(key_st... | 31.772727 | 82 | 0.699571 | """Functions for caching per-user context."""
import hashlib
from django.core.cache import cache
from . import IPFabricConfig
def _get_cache_key(user: str) -> str:
"""Key generator for the cache, adding the plugin prefix name."""
key_string = "-".join([IPFabricConfig.name, user])
return hashlib.md5(key_st... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cbdd353e24127433a693c7b17b59da30a2b8a103 | 47 | py | Python | giant/__init__.py | lixar/giant | fba966e4389b80b38bee1067ad9173adf4eaa5b5 | [
"MIT"
] | null | null | null | giant/__init__.py | lixar/giant | fba966e4389b80b38bee1067ad9173adf4eaa5b5 | [
"MIT"
] | 2 | 2016-05-26T14:40:07.000Z | 2017-04-13T21:07:16.000Z | giant/__init__.py | lixar/giant | fba966e4389b80b38bee1067ad9173adf4eaa5b5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python | 15.666667 | 24 | 0.744681 | #!/usr/bin/env python
from .giant import giant | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 23 |
48a935e65dd689781f77476b198cac53679ffe77 | 760 | py | Python | SegNet/visualise.py | Edumate696/SemanticSeg | 5dc676abd5c19682e4656d71f6ae6e2d13c1ac26 | [
"MIT"
] | null | null | null | SegNet/visualise.py | Edumate696/SemanticSeg | 5dc676abd5c19682e4656d71f6ae6e2d13c1ac26 | [
"MIT"
] | null | null | null | SegNet/visualise.py | Edumate696/SemanticSeg | 5dc676abd5c19682e4656d71f6ae6e2d13c1ac26 | [
"MIT"
] | null | null | null |
from matplotlib import pyplot as plt
plt.style.use("ggplot")
| 31.666667 | 91 | 0.669737 | import random
from matplotlib import pyplot as plt
plt.style.use("ggplot")
def plot_random_sample(X_train, y_train):
# Visualize any random image along with the mask
ix = random.randint(0, len(X_train))
has_mask = y_train[ix].max() > 0 # salt indicator
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=... | 0 | 0 | 0 | 0 | 0 | 659 | 0 | -8 | 45 |
ece77431e149ca3928831e59116063bf668aa7d5 | 521 | py | Python | setup.py | poemdistance/BingTran | 04e097119a574acafc0b28c96941c731aa96f5ad | [
"MIT"
] | 1 | 2020-07-04T03:17:14.000Z | 2020-07-04T03:17:14.000Z | setup.py | poemdistance/BingTran | 04e097119a574acafc0b28c96941c731aa96f5ad | [
"MIT"
] | null | null | null | setup.py | poemdistance/BingTran | 04e097119a574acafc0b28c96941c731aa96f5ad | [
"MIT"
] | 1 | 2021-10-30T15:29:17.000Z | 2021-10-30T15:29:17.000Z | #!/usr/bin/python3
from distutils.core import setup
#from setuptools import setup
setup(
name = "Bing Translate",
version = "1.0",
author = "poemdistance",
author_email = "poemdistance@gmail.com",
url = "",
packages = ['bing'],
cmdclass={'install':command}
)
| 22.652174 | 53 | 0.650672 | #!/usr/bin/python3
from distutils.core import setup
#from setuptools import setup
from setuptools.command.install import install
import os
class command(install):
def run(self):
print('Coping execution file to /usr/bin')
os.system("cp -v bing/main.py /usr/bin/bing")
install.run(self)
setu... | 0 | 0 | 0 | 152 | 0 | 0 | 0 | 13 | 67 |
63519207c2622bc4ec107b738c5fc96d7820ea32 | 3,109 | py | Python | ykman/cli/util.py | elukewalker/yubikey-manager | 13e5bb323a66aed29f2f865253e6088ac1ec5861 | [
"BSD-2-Clause"
] | null | null | null | ykman/cli/util.py | elukewalker/yubikey-manager | 13e5bb323a66aed29f2f865253e6088ac1ec5861 | [
"BSD-2-Clause"
] | 1 | 2018-05-07T07:34:23.000Z | 2018-05-07T13:44:29.000Z | ykman/cli/util.py | elukewalker/yubikey-manager | 13e5bb323a66aed29f2f865253e6088ac1ec5861 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2015 Yubico AB
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or
# without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditi... | 34.164835 | 79 | 0.671277 | # Copyright (c) 2015 Yubico AB
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or
# without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditi... | 0 | 600 | 0 | 463 | 0 | 294 | 0 | -5 | 182 |
c5e1bdb2fd50c8a247843a31096a4032aab2cf11 | 16,587 | py | Python | Tephigram/Tephigram_From_Radiosonde_By_Date.py | peterwilletts24/Python-Scripts | 975d6b2e2923cbde40d2760eb9574acee2e10388 | [
"MIT"
] | 4 | 2017-05-24T09:14:14.000Z | 2019-01-02T19:20:38.000Z | Tephigram/Tephigram_From_Radiosonde_By_Date.py | peterwilletts24/Python-Scripts | 975d6b2e2923cbde40d2760eb9574acee2e10388 | [
"MIT"
] | null | null | null | Tephigram/Tephigram_From_Radiosonde_By_Date.py | peterwilletts24/Python-Scripts | 975d6b2e2923cbde40d2760eb9574acee2e10388 | [
"MIT"
] | 3 | 2017-05-24T09:14:15.000Z | 2020-09-28T08:32:02.000Z | # Now make a simple example using the custom projection.
import pdb
import sys
import os
import pkg_resources
pkg_resources.require('matplotlib==1.4.0')
import datetime
from dateutil.relativedelta import relativedelta
import re
import math
from matplotlib.ticker import ScalarFormatter, MultipleLocator
from matplotlib... | 44.469169 | 276 | 0.488696 | # Now make a simple example using the custom projection.
import pdb
import sys
import os
import pkg_resources
pkg_resources.require('matplotlib==1.4.0')
import datetime
from dateutil.relativedelta import relativedelta
import re
import math
from matplotlib.ticker import ScalarFormatter, MultipleLocator
from matplotlib... | 0 | 0 | 0 | 0 | 0 | 275 | 0 | 21 | 112 |
28ec7f08b0ef63749cdda909a0cfb1bf3e7ebb8b | 3,100 | py | Python | torchvision/edgeailite/xnn/utils/weights_utils.py | TexasInstruments/vision | abaf29de0798e8e8d3f996dc272cd3c515562695 | [
"BSD-3-Clause"
] | 21 | 2021-10-08T02:47:56.000Z | 2022-03-29T14:17:04.000Z | torchvision/xnn/utils/weights_utils.py | leidi1989/edgeai-torchvision | 94bd2d8a01fac800e7df82dd710b3cc13f9a24ea | [
"BSD-3-Clause"
] | 9 | 2021-11-15T06:43:54.000Z | 2022-03-16T04:47:52.000Z | torchvision/xnn/utils/weights_utils.py | leidi1989/edgeai-torchvision | 94bd2d8a01fac800e7df82dd710b3cc13f9a24ea | [
"BSD-3-Clause"
] | 9 | 2021-11-11T11:17:16.000Z | 2022-03-08T04:26:10.000Z | #################################################################################
# Copyright (c) 2018-2021, Texas Instruments Incorporated - http://www.ti.com
# All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditio... | 50.819672 | 125 | 0.669677 | #################################################################################
# Copyright (c) 2018-2021, Texas Instruments Incorporated - http://www.ti.com
# All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditio... | 0 | 0 | 0 | 0 | 0 | 1,311 | 0 | -9 | 46 |
0208465a5d1ab407c0486c21de6f1e5021a8704e | 8,783 | py | Python | MachineLearningPyFiles_DataScience/demo19_kfoldclassificationwine.py | mahnooranjum/Programming_DataScience | f7a4215d4615b3f8460c3a1944a585628cf6930d | [
"MIT"
] | null | null | null | MachineLearningPyFiles_DataScience/demo19_kfoldclassificationwine.py | mahnooranjum/Programming_DataScience | f7a4215d4615b3f8460c3a1944a585628cf6930d | [
"MIT"
] | null | null | null | MachineLearningPyFiles_DataScience/demo19_kfoldclassificationwine.py | mahnooranjum/Programming_DataScience | f7a4215d4615b3f8460c3a1944a585628cf6930d | [
"MIT"
] | null | null | null |
# Visualising the results
"""## Get Wine Dataset"""
from sklearn.datasets import load_wine
data = load_wine()
data.keys()
X = data.data
y = data.target
from sklearn.model_selection import KFold
kf = KFold(n_splits=4)
kf.get_n_splits(X)
print(kf)
for train_index, test_index in kf.split(X):
X_train, X_test = X[t... | 38.52193 | 107 | 0.748036 |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
def evaluate(y_test, y_pred):
from sklearn.metrics import accuracy_score
print("===== Accuracy Score =====")
print(accuracy_score(y_test, y_pred))
from sklearn.metrics import classification_report
print("===== Accuracy Score =====")
c... | 0 | 0 | 0 | 0 | 0 | 5,704 | 0 | 5 | 411 |
378c076ecb27922a28a5e0f844859a82a4d35191 | 17,070 | py | Python | psl_class.py | shane-kerr/ProSafeLinux | c821a83a036757a52313b93bf7cc9de625a816da | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | psl_class.py | shane-kerr/ProSafeLinux | c821a83a036757a52313b93bf7cc9de625a816da | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | psl_class.py | shane-kerr/ProSafeLinux | c821a83a036757a52313b93bf7cc9de625a816da | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-09-28T10:20:26.000Z | 2019-09-28T10:20:26.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"Main Class to communicate with gs108e and gs105e netgear switches"
import binascii
import struct
import socket
import fcntl
import errno
def get_hw_addr(ifname):
"gives the hardware (mac) address of an interface (eth0,eth1..)"
sock = socket.socket(socket.AF_INET, so... | 39.331797 | 80 | 0.587522 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"Main Class to communicate with gs108e and gs105e netgear switches"
import time
import binascii
import pprint
import random
import struct
import socket
import fcntl
import psl_typ
import inspect
import errno
def get_hw_addr(ifname):
"gives the hardware (mac) address of a... | 0 | 339 | 0 | 14,605 | 0 | 0 | 0 | -40 | 133 |
6975219d67978b32abca1912305f92e399d8929f | 3,596 | py | Python | tests/test_parser.py | ousttrue/cpptypeinfo | 38b219ec5683dbba380e6f5ca2074c1ea0ccfaa9 | [
"MIT"
] | 1 | 2021-03-22T10:19:52.000Z | 2021-03-22T10:19:52.000Z | tests/test_parser.py | ousttrue/cpptypeinfo | 38b219ec5683dbba380e6f5ca2074c1ea0ccfaa9 | [
"MIT"
] | null | null | null | tests/test_parser.py | ousttrue/cpptypeinfo | 38b219ec5683dbba380e6f5ca2074c1ea0ccfaa9 | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 39.516484 | 79 | 0.55228 | import unittest
from cpptypeinfo import (
TypeParser,
Float,
Double,
Bool,
Void,
Int8,
Int16,
Int32,
Int64,
UInt8,
UInt16,
UInt32,
UInt64,
)
from cpptypeinfo.usertype import (Pointer, Array, Field, Struct, Param,
Func... | 0 | 0 | 0 | 3,189 | 0 | 0 | 0 | 264 | 71 |
ad6cb13482b4769b31aa3da89de989f9961164ab | 2,631 | py | Python | test.py | Jaiswal-ruhil/SmartSchema | 47c2b525cfbdd8f00a78329667fb4a4cdcf8377c | [
"MIT"
] | null | null | null | test.py | Jaiswal-ruhil/SmartSchema | 47c2b525cfbdd8f00a78329667fb4a4cdcf8377c | [
"MIT"
] | null | null | null | test.py | Jaiswal-ruhil/SmartSchema | 47c2b525cfbdd8f00a78329667fb4a4cdcf8377c | [
"MIT"
] | null | null | null |
# import sys
# sys.path.append("/home/ruhil/Dropbox/projects/python3-SmartSchema/SmartSchema/SmartSchema")
from SmartSchema import SmartSchema
if __name__ == "__main__":
InvoiceSchema = {
"type": "object",
"required": [
"reciver",
"issuer",
"inv_date"
... | 28.290323 | 93 | 0.372102 |
# import sys
# sys.path.append("/home/ruhil/Dropbox/projects/python3-SmartSchema/SmartSchema/SmartSchema")
from SmartSchema import SmartSchema
def reducedqty(inst):
y = 0
for x in inst["qty"]:
y = y + x['qty']
return y
if __name__ == "__main__":
InvoiceSchema = {
"type": "object",
... | 0 | 0 | 0 | 0 | 0 | 74 | 0 | 0 | 23 |
0bc8b29c196877264a4cd5a0acf5df842f160f5d | 16,937 | py | Python | nitro-python/nssrc/com/citrix/netscaler/nitro/resource/config/subscriber/subscribergxinterface.py | culbertm/NSttyPython | ff9f6aedae3fb8495342cd0fc4247c819cf47397 | [
"Apache-2.0"
] | null | null | null | nitro-python/nssrc/com/citrix/netscaler/nitro/resource/config/subscriber/subscribergxinterface.py | culbertm/NSttyPython | ff9f6aedae3fb8495342cd0fc4247c819cf47397 | [
"Apache-2.0"
] | null | null | null | nitro-python/nssrc/com/citrix/netscaler/nitro/resource/config/subscriber/subscribergxinterface.py | culbertm/NSttyPython | ff9f6aedae3fb8495342cd0fc4247c819cf47397 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2008-2016 Citrix Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 41.109223 | 487 | 0.752908 | #
# Copyright (c) 2008-2016 Citrix Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 0 | 12,995 | 0 | 2,878 | 0 | 0 | 0 | 292 | 158 |
e96950bff16083d411860e5492e2b1dd64d42547 | 249 | py | Python | src/test/resources/org/jenkinsci/plugins/django/simple_test_project/bdd_tests/bdd_settings.py | evili/django-jenkis-plugin | 60931ba3e2bbae8918d99a2d2dbd51d1b10fc5a1 | [
"Apache-2.0"
] | 1 | 2015-03-10T03:01:44.000Z | 2015-03-10T03:01:44.000Z | src/test/resources/org/jenkinsci/plugins/django/simple_test_project/bdd_tests/bdd_settings.py | evili/django-jenkis-plugin | 60931ba3e2bbae8918d99a2d2dbd51d1b10fc5a1 | [
"Apache-2.0"
] | 43 | 2015-03-03T07:25:05.000Z | 2022-03-31T04:14:35.000Z | src/test/resources/org/jenkinsci/plugins/django/simple_test_project/bdd_tests/bdd_settings.py | evili/django-jenkis-plugin | 60931ba3e2bbae8918d99a2d2dbd51d1b10fc5a1 | [
"Apache-2.0"
] | null | null | null |
INSTALLED_APPS += ('bdd_tests',)
TEST_RUNNER = 'django_behave.runner.DjangoBehaveTestSuiteRunner'
#'django_behave.runner.DjangoBehaveTestSuiteRunner'
#'django_behave.runner.DjangoBehaveOnlyTestSuiteRunner'
| 35.571429 | 64 | 0.851406 | from django_test_deploy.settings import *
INSTALLED_APPS += ('bdd_tests',)
TEST_RUNNER = 'django_behave.runner.DjangoBehaveTestSuiteRunner'
#'django_behave.runner.DjangoBehaveTestSuiteRunner'
#'django_behave.runner.DjangoBehaveOnlyTestSuiteRunner'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 22 |
5d61c18e96146d4ed0c3a487a99ff5f9121130dd | 455 | py | Python | addons/datatask/client/datatask/run.py | aixieluo/giftware | 51166699cf75e3d6029fab47a65b092ad5c9f658 | [
"Apache-2.0"
] | null | null | null | addons/datatask/client/datatask/run.py | aixieluo/giftware | 51166699cf75e3d6029fab47a65b092ad5c9f658 | [
"Apache-2.0"
] | null | null | null | addons/datatask/client/datatask/run.py | aixieluo/giftware | 51166699cf75e3d6029fab47a65b092ad5c9f658 | [
"Apache-2.0"
] | null | null | null | import worker
import configparser
import os
import const
cfgpath = os.path.join(const.ROOT_PATH, './config.ini')
conf = configparser.ConfigParser()
conf.read(cfgpath, encoding="utf-8")
tasks = conf.get('main', 'task').split(',')
for code in tasks:
token = conf.get(code, 'token')
url = conf.get('... | 22.75 | 56 | 0.663736 | from datetime import datetime
import worker
import configparser
import os
import sys
import const
cfgpath = os.path.join(const.ROOT_PATH, './config.ini')
conf = configparser.ConfigParser()
conf.read(cfgpath, encoding="utf-8")
tasks = conf.get('main', 'task').split(',')
for code in tasks:
token = co... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 46 |
080515e61c43971ada47f3234d130ead2fb49828 | 929 | py | Python | tadpole/template/app/models/auth/relation.py | echoyuanliang/pine | 22175e6aea0ca9b02d6542677b27a690c1501c9c | [
"MIT"
] | 2 | 2017-12-02T07:02:31.000Z | 2020-10-13T02:20:18.000Z | tadpole/template/app/models/auth/relation.py | echoyuanliang/pine | 22175e6aea0ca9b02d6542677b27a690c1501c9c | [
"MIT"
] | null | null | null | tadpole/template/app/models/auth/relation.py | echoyuanliang/pine | 22175e6aea0ca9b02d6542677b27a690c1501c9c | [
"MIT"
] | 1 | 2018-04-23T04:59:38.000Z | 2018-04-23T04:59:38.000Z | #!/usr/bin/env python
# coding: utf-8
"""
create at 2017/11/19 by allen
"""
from datetime import datetime
from app.lib.database import db, Column
user_role = db.Table('user_role',
Column('user_id', db.Integer, db.ForeignKey('user.id')),
Column('role_id', db.Integer, db.F... | 34.407407 | 98 | 0.482239 | #!/usr/bin/env python
# coding: utf-8
"""
create at 2017/11/19 by allen
"""
from datetime import datetime
from app.lib.database import db, Column
user_role = db.Table('user_role',
Column('user_id', db.Integer, db.ForeignKey('user.id')),
Column('role_id', db.Integer, db.F... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90b1da90b1d33f95ba087a027df383f19ea25f89 | 6,161 | py | Python | holidays/countries/south_africa.py | m-ganko/python-holidays | f0d5a91f8bee8661ef3440bde2302332a364877e | [
"MIT"
] | null | null | null | holidays/countries/south_africa.py | m-ganko/python-holidays | f0d5a91f8bee8661ef3440bde2302332a364877e | [
"MIT"
] | 2 | 2021-06-18T11:50:15.000Z | 2021-07-13T14:29:46.000Z | holidays/countries/south_africa.py | m-ganko/python-holidays | f0d5a91f8bee8661ef3440bde2302332a364877e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# python-holidays
# ---------------
# A fast, efficient Python library for generating country, province and state
# specific sets of holidays on the fly. It aims to make determining whether a
# specific date is a holiday as fast and flexible as possible.
#
# Author: ryanss <ryanssdev@icl... | 35.005682 | 79 | 0.546665 | # -*- coding: utf-8 -*-
# python-holidays
# ---------------
# A fast, efficient Python library for generating country, province and state
# specific sets of holidays on the fly. It aims to make determining whether a
# specific date is a holiday as fast and flexible as possible.
#
# Author: ryanss <ryanssdev@icl... | 0 | 0 | 0 | 5,293 | 0 | 0 | 0 | 160 | 204 |
55f54c0c1070b2a6f342f324df0835dabe98dfc3 | 767 | py | Python | baitola.py | silvioSCM/Python_estudos-e-arquivos | e1edf24559b8cd0fa7403fd52162d8af37294150 | [
"MIT"
] | null | null | null | baitola.py | silvioSCM/Python_estudos-e-arquivos | e1edf24559b8cd0fa7403fd52162d8af37294150 | [
"MIT"
] | null | null | null | baitola.py | silvioSCM/Python_estudos-e-arquivos | e1edf24559b8cd0fa7403fd52162d8af37294150 | [
"MIT"
] | null | null | null | import time
print('Bem vindo!! eu sou Priscila, a assistente A.I..')
time.sleep(2)
print("Por favor...qual o seu nome?")
seu_nome = input()
time.sleep(3)
print(f"{seu_nome},Voc acha que o Jlio baitola?")
baitola = input(f"Responda 'S' ou 'N'..." )
nao_baitola = (baitola)
print("Calculando......")
time.sleep(3)
print(... | 27.392857 | 67 | 0.674055 | import time
print('Bem vindo!! eu sou Priscila, a assistente A.I..')
time.sleep(2)
print("Por favor...qual o seu nome?")
seu_nome = input()
time.sleep(3)
print(f"{seu_nome},Você acha que o Júlio é baitola?")
baitola = input(f"Responda 'S' ou 'N'..." )
nao_baitola = (baitola)
print("Calculando......")
time.sleep(3)
pri... | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7cca90e39d1e49138b473e2b3404c20a21d2682 | 967 | py | Python | test/test_self_ref.py | ybrs/mongomodels | 0337480589369dba0135245481439bcd161ef6ab | [
"MIT"
] | 6 | 2015-05-05T18:37:08.000Z | 2022-03-26T04:18:02.000Z | test/test_self_ref.py | ybrs/mongomodels | 0337480589369dba0135245481439bcd161ef6ab | [
"MIT"
] | null | null | null | test/test_self_ref.py | ybrs/mongomodels | 0337480589369dba0135245481439bcd161ef6ab | [
"MIT"
] | null | null | null | import unittest
import logging
logging.basicConfig(level=logging.DEBUG)
if __name__ == '__main__':
unittest.main() | 29.30303 | 70 | 0.679421 | import unittest
import pymongo
import logging
logging.basicConfig(level=logging.DEBUG)
from mongomodels import connections, MongoModel, String, Integer, \
Column, or_, ValidationError, Boolean, belongs_to
class Category(MongoModel):
name = Column(String, required=True)
belongs_to('category', rel_column='... | 0 | 0 | 0 | 664 | 0 | 0 | 0 | 93 | 91 |
37b36acd36e98b0d69b09c07782fbb93be932247 | 6,095 | py | Python | agora/graph/__init__.py | oeg-upm/agora-py | 0c7e495a8c7023aaf79ed9dc91ef954f4519f60a | [
"Apache-2.0"
] | null | null | null | agora/graph/__init__.py | oeg-upm/agora-py | 0c7e495a8c7023aaf79ed9dc91ef954f4519f60a | [
"Apache-2.0"
] | 3 | 2018-02-06T17:44:00.000Z | 2021-01-12T06:22:40.000Z | agora/graph/__init__.py | oeg-upm/agora-py | 0c7e495a8c7023aaf79ed9dc91ef954f4519f60a | [
"Apache-2.0"
] | 1 | 2018-05-07T07:30:57.000Z | 2018-05-07T07:30:57.000Z | """
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=#
Ontology Engineering Group
http://www.oeg-upm.net/
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=#
Copyright (C) 2016 Ontology Engineering Group.
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-... | 36.065089 | 111 | 0.590156 | """
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=#
Ontology Engineering Group
http://www.oeg-upm.net/
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=#
Copyright (C) 2016 Ontology Engineering Group.
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-... | 0 | 96 | 0 | 3,056 | 0 | 859 | 0 | 79 | 277 |
0b9b6bb87bc907d1141e684668a7a503622eb019 | 35,191 | py | Python | mathics/builtin/string/operations.py | skirpichev/Mathics | 318e06dea8f1c70758a50cb2f95c9900150e3a68 | [
"Apache-2.0"
] | 1,920 | 2015-01-06T17:56:26.000Z | 2022-03-24T14:33:29.000Z | mathics/builtin/string/operations.py | skirpichev/Mathics | 318e06dea8f1c70758a50cb2f95c9900150e3a68 | [
"Apache-2.0"
] | 868 | 2015-01-04T06:19:40.000Z | 2022-03-14T13:39:38.000Z | mathics/builtin/string/operations.py | skirpichev/Mathics | 318e06dea8f1c70758a50cb2f95c9900150e3a68 | [
"Apache-2.0"
] | 240 | 2015-01-16T13:31:26.000Z | 2022-03-12T12:52:46.000Z | # -*- coding: utf-8 -*-
"""
Operations on Strings
"""
| 33.230406 | 136 | 0.555682 | # -*- coding: utf-8 -*-
"""
Operations on Strings
"""
import re
from mathics.version import __version__ # noqa used in loading to check consistency.
from mathics.builtin.base import (
BinaryOperator,
Builtin,
)
from mathics.core.expression import (
Expression,
Integer,
Integer1,
String,
... | 0 | 702 | 0 | 33,621 | 0 | 0 | 0 | 368 | 434 |
a1b8279c46ab312d0fb0144512fd0fc54c45005b | 1,494 | py | Python | PythonAPI/examples/TestBench/older_mixed_files/environment_setup.py | Abanoub-G/carla_0.9.11 | d7f6188fb745409047edc7151cb97c3d20472867 | [
"MIT"
] | null | null | null | PythonAPI/examples/TestBench/older_mixed_files/environment_setup.py | Abanoub-G/carla_0.9.11 | d7f6188fb745409047edc7151cb97c3d20472867 | [
"MIT"
] | null | null | null | PythonAPI/examples/TestBench/older_mixed_files/environment_setup.py | Abanoub-G/carla_0.9.11 | d7f6188fb745409047edc7151cb97c3d20472867 | [
"MIT"
] | null | null | null | # from shapely.geometry import Polygon
| 21.970588 | 57 | 0.668005 |
from shapely.geometry import Polygon
import math
import numpy as np
import random
from shapely.geometry import Point
# from shapely.geometry import Polygon
def Ticking(world,frame):
# Tick
world.tick()
# Get world snapshot
world_snapshot = world.get_snapshot()
ts = world_snapshot.timestamp
if fra... | 0 | 0 | 0 | 0 | 0 | 1,220 | 0 | 7 | 226 |