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e05ed200a2a8a3f55fc59bea4c0cb97b0a233945 | 15,065 | py | Python | notepad.py | SukruGokk/python-notepad | 8f9f1c7bfdfa27a05190534f8256d1690d55f900 | [
"Apache-2.0"
] | 1 | 2020-07-01T11:05:20.000Z | 2020-07-01T11:05:20.000Z | notepad.py | SukruGokk/python-notepad | 8f9f1c7bfdfa27a05190534f8256d1690d55f900 | [
"Apache-2.0"
] | null | null | null | notepad.py | SukruGokk/python-notepad | 8f9f1c7bfdfa27a05190534f8256d1690d55f900 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
######################
# TRKE NOT DEFTER #
######################
# @author : kr Erdem Gk
# @date : 28/06/2020
# @os : Windows 10
# @version : Python 3.8
# @description: Kodlar dnda yorumlar ve uygulaman grnen ksmn tamamen trke yaptm. Umarm iinize yarar.
# GK DEFTER
# Ktphaneler
# PyQt5
from... | 39.028497 | 124 | 0.667707 | # -*- coding: utf-8 -*-
######################
# TÜRKÇE NOT DEFTERİ #
######################
# @author : Şükrü Erdem Gök
# @date : 28/06/2020
# @os : Windows 10
# @version : Python 3.8
# @description: Kodlar dışında yorumları ve uygulamanı görünen kısmını tamamen türkçe yaptım. Umarım işinize yarar.
# GÖK DEFTER
# K... | 620 | 0 | 0 | 13,721 | 0 | 0 | 0 | 207 | 132 |
96d4c0a3bbeb30f1666a465e23b74a59a5b9a9bb | 2,804 | py | Python | src/features/previous_application_loans.py | elfaizamine/loan_default_prediction | c76632b0757e9f23d347e00bcd755d26800a54be | [
"MIT"
] | null | null | null | src/features/previous_application_loans.py | elfaizamine/loan_default_prediction | c76632b0757e9f23d347e00bcd755d26800a54be | [
"MIT"
] | null | null | null | src/features/previous_application_loans.py | elfaizamine/loan_default_prediction | c76632b0757e9f23d347e00bcd755d26800a54be | [
"MIT"
] | null | null | null |
def sum_one_hot_columns_on_rows(df, col_to_aggregate):
"""
aggregate past loans information (category columns) in one row
:param df: previous loans application dataframe
:param col_to_aggregate: columns to be aggregated
:return dataframe aggregated columns plus SK_ID_CURR
"""
df = one_h... | 31.505618 | 98 | 0.702568 | from src.utils.utils import *
import src.config.Consts as cs
def sum_one_hot_columns_on_rows(df, col_to_aggregate):
"""
aggregate past loans information (category columns) in one row
:param df: previous loans application dataframe
:param col_to_aggregate: columns to be aggregated
:return datafr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 44 |
b8d2083b80a7501af9306c08a47d71c5031164e8 | 271 | py | Python | 哥伦布(STM32F407)/1.基础实验/12.EEPROM/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | 73 | 2020-05-02T13:48:27.000Z | 2022-03-26T13:15:10.000Z | 哥伦布(STM32F407)/1.基础实验/12.EEPROM/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | null | null | null | 哥伦布(STM32F407)/1.基础实验/12.EEPROM/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | 50 | 2020-05-15T13:57:28.000Z | 2022-03-30T14:03:33.000Z | '''
EEPROMAT24C02
v1.0
2020.12
01Studio
EEPROM
'''
from at24c02 import AT24C02
import time
EE = AT24C02(i2c_num=1) #B8,B9I2C1
EE.write(1,8) #18
time.sleep_ms(5) #
print(EE.read(1)) #1
| 15.055556 | 43 | 0.726937 | '''
实验名称：EEPROM（AT24C02）
版本：v1.0
日期：2020.12
作者：01Studio
说明：EEPROM的读写实验
'''
from at24c02 import AT24C02
import time
EE = AT24C02(i2c_num=1) #哥伦布的B8,B9为I2C1
EE.write(1,8) #往地址1写入数字8（用户可以更改自己写的数字）
time.sleep_ms(5) #需要适当延时再读取
print(EE.read(1)) #读取地址1数据，等于前面写入的数字
| 225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6aabaa357f6fc3fce94d6b8382f28bdea5017684 | 21,729 | py | Python | neutron/agent/l3/dvr_fip_ns.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 1,080 | 2015-01-04T08:35:00.000Z | 2022-03-27T09:15:52.000Z | neutron/agent/l3/dvr_fip_ns.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 24 | 2015-02-21T01:48:28.000Z | 2021-11-26T02:38:56.000Z | neutron/agent/l3/dvr_fip_ns.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 1,241 | 2015-01-02T10:47:10.000Z | 2022-03-27T09:42:23.000Z | # Copyright (c) 2015 OpenStack Foundation
#
# 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 ... | 45.745263 | 79 | 0.6096 | # Copyright (c) 2015 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 0 | 1,480 | 0 | 18,537 | 0 | 0 | 0 | 279 | 356 |
dfb662e7ea084a66d1d7b1485d7da04ee1ec3015 | 5,348 | py | Python | netease_im/components/team.py | jsli/NIM_SDK_Python | e2ed059a2ab6acbba09c6692deb1e4767f505982 | [
"MIT"
] | 7 | 2018-05-21T03:36:43.000Z | 2020-03-25T08:10:46.000Z | netease_im/components/team.py | jsli/NIM_SDK_Python | e2ed059a2ab6acbba09c6692deb1e4767f505982 | [
"MIT"
] | 1 | 2019-01-29T09:20:39.000Z | 2019-03-30T09:55:45.000Z | netease_im/components/team.py | jsli/NIM_SDK_Python | e2ed059a2ab6acbba09c6692deb1e4767f505982 | [
"MIT"
] | 2 | 2018-10-09T02:56:50.000Z | 2019-03-29T08:27:31.000Z | # -*- coding: utf-8 -*-
"""NIM REST API Python Client -- Team component"""
from __future__ import absolute_import
__author__ = "Manson Li"
__email__ = "manson.li3307@gmail.com"
| 32.216867 | 100 | 0.580965 | # -*- coding: utf-8 -*-
"""NIM REST API Python Client -- Team component"""
from __future__ import absolute_import
import json
from netease_im import util
from netease_im.components import base
from netease_im.util import is_str_type
__author__ = "Manson Li"
__email__ = "manson.li3307@gmail.com"
class TeamCompone... | 408 | 0 | 0 | 4,887 | 0 | 0 | 0 | 31 | 113 |
9b057a4f374c0826ddd97db09a2b3a5c666d068c | 4,527 | py | Python | View/Task/LinkedBrowsing.py | parente/clique | e0a36e592d194a822f0078781d08a2d1aa63c9e4 | [
"BSD-3-Clause"
] | 3 | 2015-05-02T10:00:50.000Z | 2018-10-26T02:42:13.000Z | View/Task/LinkedBrowsing.py | parente/clique | e0a36e592d194a822f0078781d08a2d1aa63c9e4 | [
"BSD-3-Clause"
] | null | null | null | View/Task/LinkedBrowsing.py | parente/clique | e0a36e592d194a822f0078781d08a2d1aa63c9e4 | [
"BSD-3-Clause"
] | 1 | 2018-10-26T02:42:14.000Z | 2018-10-26T02:42:14.000Z | '''
Defines classes for the pattern of browsing a number of dyanmic views.
@author: Peter Parente <parente@cs.unc.edu>
@copyright: Copyright (c) 2008 Peter Parente
@license: BSD License
All rights reserved. This program and the accompanying materials are made
available under the terms of The BSD License which accompa... | 33.043796 | 81 | 0.682792 | '''
Defines classes for the pattern of browsing a number of dyanmic views.
@author: Peter Parente <parente@cs.unc.edu>
@copyright: Copyright (c) 2008 Peter Parente
@license: BSD License
All rights reserved. This program and the accompanying materials are made
available under the terms of The BSD License which accompa... | 0 | 0 | 0 | 4,045 | 0 | 0 | 0 | 14 | 46 |
01903e287d0bd96d907635d63c34e6715718b51f | 785 | py | Python | kata/07/dominator.py | vyahello/upgrade-python-kata | 15de7b094f3aaef69a845887f0df5e0958c29ed4 | [
"MIT"
] | null | null | null | kata/07/dominator.py | vyahello/upgrade-python-kata | 15de7b094f3aaef69a845887f0df5e0958c29ed4 | [
"MIT"
] | 4 | 2021-01-25T16:58:39.000Z | 2022-03-12T13:46:37.000Z | kata/07/dominator.py | vyahello/upgrade-python-kata | 15de7b094f3aaef69a845887f0df5e0958c29ed4 | [
"MIT"
] | null | null | null | """
A zero-indexed array arr consisting of n integers is given.
The dominator of array arr is the value that occurs in more than half of the elements of arr.
For example, consider array arr such that arr = [3,4,3,2,3,1,3,3]
The dominator of arr is 3 because it occurs in 5 out of 8 elements of arr and 5 is more than a ... | 28.035714 | 105 | 0.633121 | """
A zero-indexed array arr consisting of n integers is given.
The dominator of array arr is the value that occurs in more than half of the elements of arr.
For example, consider array arr such that arr = [3,4,3,2,3,1,3,3]
The dominator of arr is 3 because it occurs in 5 out of 8 elements of arr and 5 is more than a ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
04ddf723c77e5e13afa75ce73ec94a59fc369de8 | 2,315 | py | Python | rawa/models.py | hackerspace-silesia/rawa | ba0a32c342185407292cc084c2bd1f4c1d5f220a | [
"MIT"
] | 4 | 2019-12-07T18:34:52.000Z | 2020-01-11T15:32:52.000Z | rawa/models.py | hackerspace-silesia/rawa | ba0a32c342185407292cc084c2bd1f4c1d5f220a | [
"MIT"
] | 4 | 2021-06-08T20:41:45.000Z | 2022-03-12T00:07:55.000Z | rawa/models.py | hackerspace-silesia/rawa | ba0a32c342185407292cc084c2bd1f4c1d5f220a | [
"MIT"
] | 1 | 2019-12-07T20:24:38.000Z | 2019-12-07T20:24:38.000Z | from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.sql.schema import MetaData
db = SQLAlchemy(
metadata=MetaData(
naming_convention={
"ix": 'ix_%(column_0_label)s',
"uq": "uq_%(table_name)s_%(column_0_name)s",
"ck": "ck_%(table_name)s_%(column_0_name)s",
... | 30.866667 | 83 | 0.685961 | from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm import relationship
from sqlalchemy.sql.schema import MetaData
db = SQLAlchemy(
metadata=MetaData(
naming_convention={
"ix": 'ix_%(column_0_label)s',
"uq": "uq_%(table_na... | 0 | 57 | 0 | 1,551 | 0 | 0 | 0 | 49 | 205 |
d445f0e736d5c29229101c8be1d7ecab26e3c67e | 764 | py | Python | lib/logger.py | yorozultd/nobrand | ee308f87f7f5929df803ffef11b3b79eec6e763b | [
"MIT"
] | null | null | null | lib/logger.py | yorozultd/nobrand | ee308f87f7f5929df803ffef11b3b79eec6e763b | [
"MIT"
] | null | null | null | lib/logger.py | yorozultd/nobrand | ee308f87f7f5929df803ffef11b3b79eec6e763b | [
"MIT"
] | null | null | null | import time
| 28.296296 | 73 | 0.692408 | import requests,sys,time
import time,datetime
class Logger:
def __init__(self,application_name):
ts = time.time()
prefix = "./log/"
tms = datetime.datetime.fromtimestamp(ts).strftime('%Y_%m_%d_%H_%M_%S')
self.file_name = prefix+str(application_name)+"_log_"+str(tms)
self.pointer = open(self.file_name,"w+"... | 0 | 0 | 0 | 693 | 0 | 0 | 0 | 12 | 45 |
8f148f893dea9817a14e75b1cb53be28f0b376a0 | 18,564 | py | Python | plugin.picture.sane-scanner/addon.py | Heckie75/kodi-addon-sane-scanner | a67b16146325cf9bce8d5c07ab6354959a8124bf | [
"MIT"
] | null | null | null | plugin.picture.sane-scanner/addon.py | Heckie75/kodi-addon-sane-scanner | a67b16146325cf9bce8d5c07ab6354959a8124bf | [
"MIT"
] | null | null | null | plugin.picture.sane-scanner/addon.py | Heckie75/kodi-addon-sane-scanner | a67b16146325cf9bce8d5c07ab6354959a8124bf | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import sys
import urllib.parse
import xbmcaddon
import xbmcvfs
__PLUGIN_ID__ = "plugin.picture.sane-scanner"
_PLUGIN_NAME = "Kodi Sane Scanner"
_TMP_FOLDER = "/tmp/"
_IMG_FILE = "kodi-sane-scanner-img"
_PDF_PREVIEW_FILE = "kodi-sane-scanner-pdf"
_SCANNER_MODES = [
["--m... | 24.68617 | 103 | 0.49693 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import datetime
import os
import re
import shutil
import subprocess
import sys
import time
import urllib.parse
import xbmc
import xbmcgui
import xbmcplugin
import xbmcaddon
import xbmcvfs
__PLUGIN_ID__ = "plugin.picture.sane-scanner"
_PLUGIN_NAME = "Kodi Sane Scanner"
_TMP... | 0 | 0 | 0 | 19 | 0 | 16,168 | 0 | -73 | 936 |
d207c9e59b96883918e294858849c73358860f28 | 852 | py | Python | Bloglog/app/requests.py | NzauM/Github-API | 69649068de1e397ac9f2566b212b5a723b99e944 | [
"MIT"
] | null | null | null | Bloglog/app/requests.py | NzauM/Github-API | 69649068de1e397ac9f2566b212b5a723b99e944 | [
"MIT"
] | 8 | 2021-03-09T22:14:42.000Z | 2022-03-02T06:10:03.000Z | Bloglog/app/requests.py | NzauM/blog-log | 69649068de1e397ac9f2566b212b5a723b99e944 | [
"MIT"
] | null | null | null |
get_quotes_url = 'http://quotes.stormconsultancy.co.uk/random.json'
| 16.705882 | 67 | 0.657277 | import urllib.request,json
from .models import Quote
get_quotes_url = 'http://quotes.stormconsultancy.co.uk/random.json'
def getquotes():
with urllib.request.urlopen(get_quotes_url) as url:
get_quotes_data = url.read()
get_quotes_resp = json.loads(get_quotes_data)
quote_results = None
... | 0 | 0 | 0 | 0 | 0 | 643 | 0 | 9 | 90 |
ffad50c0e72851c09ab2c741602dafb6d2e712e6 | 911 | py | Python | test_scripts/ns_instance/duan/service/vfc/nfvo/lcm/lcm/ns/const.py | lremember/VFC | 837559db1396091811382359100bfc60e1aab5b2 | [
"MIT"
] | 4 | 2018-08-29T02:51:38.000Z | 2021-11-16T11:36:11.000Z | test_scripts/ns_instance/duan/service/vfc/nfvo/lcm/lcm/ns/const.py | lremember/VFC-Files | 837559db1396091811382359100bfc60e1aab5b2 | [
"MIT"
] | null | null | null | test_scripts/ns_instance/duan/service/vfc/nfvo/lcm/lcm/ns/const.py | lremember/VFC-Files | 837559db1396091811382359100bfc60e1aab5b2 | [
"MIT"
] | 1 | 2019-05-12T08:21:19.000Z | 2019-05-12T08:21:19.000Z | # Copyright 2016-2017 ZTE Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 41.409091 | 74 | 0.771679 | # Copyright 2016-2017 ZTE Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2e4461e9fc8fdaf4c31f784c3d8e483b389c1f9f | 8,317 | py | Python | tcutils/traffic_utils/ping_traffic.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | 1 | 2017-06-13T04:42:34.000Z | 2017-06-13T04:42:34.000Z | tcutils/traffic_utils/ping_traffic.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | null | null | null | tcutils/traffic_utils/ping_traffic.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | null | null | null |
result_file = '/tmp/ping'
| 38.50463 | 99 | 0.564266 | import re
import string
import logging
from tcutils.util import get_random_name, retry, is_v6
result_file = '/tmp/ping'
class Ping:
''' Helper to generate ping traffic
Mandatory args:
host : Dest IP
sender_vm_fixture : Sender VMs fixture handle
Supports ping with IPv4 and IPv6
... | 0 | 279 | 0 | 7,894 | 0 | 0 | 0 | 6 | 111 |
cabc8a4726226c8b82b7751986327c467fc71dc6 | 5,714 | py | Python | python/origen/origen/web/origen_sphinx_extension/templating.py | Origen-SDK/o2 | 5b0f9a6d113ddebc73c7ee224931e8b2d0301794 | [
"MIT"
] | null | null | null | python/origen/origen/web/origen_sphinx_extension/templating.py | Origen-SDK/o2 | 5b0f9a6d113ddebc73c7ee224931e8b2d0301794 | [
"MIT"
] | 127 | 2019-11-23T17:09:35.000Z | 2021-09-02T11:06:20.000Z | python/origen/origen/web/origen_sphinx_extension/templating.py | Origen-SDK/o2 | 5b0f9a6d113ddebc73c7ee224931e8b2d0301794 | [
"MIT"
] | null | null | null | import origen, pathlib
from .. import origen_sphinx_extension as ose
def insert_header(app, docname, source):
'''
Insert content at the beginning of the docs.
Currently inserts:
* Any |shorthand| ``include`` RST files
'''
ext = ose.sphinx_ext(app, 'origen.web.shorthand')
doc = pathl... | 39.136986 | 137 | 0.60133 | import origen, subprocess, builtins, types, inspect, re, pathlib
from .. import origen_sphinx_extension as ose
def preprocess_src(app, docname, source):
# Origen's compiler supports multiple templating engines as well as a different context
# than Sphinx's Jinja engine.
# The Jinja compiler will be run on... | 0 | 1,149 | 0 | 0 | 0 | 3,215 | 0 | 42 | 137 |
ca1e1401ba5b03affbad982f7de4e708a5e292ac | 2,326 | py | Python | python/code_challenges/graph-depth-first/tests/test_graph_depth_first.py | AbdullahElian1/data-structures-and-algorithms | 857faea9bcb56ef75b544ed485ad892e4ed74cf7 | [
"MIT"
] | null | null | null | python/code_challenges/graph-depth-first/tests/test_graph_depth_first.py | AbdullahElian1/data-structures-and-algorithms | 857faea9bcb56ef75b544ed485ad892e4ed74cf7 | [
"MIT"
] | 2 | 2021-08-15T13:51:41.000Z | 2021-09-07T19:18:13.000Z | python/code_challenges/graph-depth-first/tests/test_graph_depth_first.py | AbdullahElian1/data-structures-and-algorithms | 857faea9bcb56ef75b544ed485ad892e4ed74cf7 | [
"MIT"
] | 1 | 2021-09-05T18:33:59.000Z | 2021-09-05T18:33:59.000Z |
# Node can be successfully added to the graph
# An edge can be successfully added to the graph
# A collection of all nodes can be properly retrieved from the graph
# All appropriate neighbors can be retrieved from the graph
# Neighbors are returned with the weight between nodes included
# The proper... | 21.943396 | 76 | 0.703353 | from graph_depth_first import __version__
import pytest
def test_version():
assert __version__ == '0.1.0'
from graph_depth_first.graph_depth import *
@pytest.fixture
def date():
ver=Vertex('a')
ver2=Vertex('c')
ver3=Vertex('d')
ver4=Vertex('p')
graph=Graph()
graph.add_vertex(ver)
... | 0 | 325 | 0 | 0 | 0 | 1,140 | 0 | 34 | 334 |
86f8f698335c00c5ec191f79d553e09b22414e2b | 13,038 | py | Python | PythonScripts/Lib/libDuplicateAlongACurve.py | Neill3d/MoPlugs | 84efea03e045f820f3dc132c1a60a779fc5e34fc | [
"BSD-3-Clause"
] | 23 | 2017-10-20T07:01:18.000Z | 2022-02-25T08:46:07.000Z | PythonScripts/Lib/libDuplicateAlongACurve.py | droidoid/MoPlugs | fce52e6469408e32e94af8ac8a303840bc956e53 | [
"BSD-3-Clause"
] | 1 | 2019-11-08T04:03:38.000Z | 2019-11-10T10:16:00.000Z | PythonScripts/Lib/libDuplicateAlongACurve.py | droidoid/MoPlugs | fce52e6469408e32e94af8ac8a303840bc956e53 | [
"BSD-3-Clause"
] | 5 | 2017-12-03T20:43:27.000Z | 2020-01-22T16:54:13.000Z |
##############################################################
#
# script uses local X axis to compute element Length and snapshot it along a curve
# 21.02.2016
# Sergey Solohin (Neill3d) 2016
# e-mail to: s@neill3d.com
# www.neill3d.com
#
# Github repo - https://github.com/Neill3d/MoPlugs
# Licensed under BSD... | 32.272277 | 139 | 0.546173 |
##############################################################
#
# script uses local X axis to compute element Length and snapshot it along a curve
# 21.02.2016
# Sergey Solohin (Neill3d) 2016
# e-mail to: s@neill3d.com
# www.neill3d.com
#
# Github repo - https://github.com/Neill3d/MoPlugs
# Licensed under BSD... | 0 | 3,745 | 0 | 8,648 | 0 | 0 | 0 | -10 | 91 |
3d71c6221d5712af50d5ded07ee8fe8505612bac | 4,209 | py | Python | PAN03.py | zfng/Synth2021 | 80f854a38c8d9e2ad315d92d83f554e717b83140 | [
"MIT"
] | null | null | null | PAN03.py | zfng/Synth2021 | 80f854a38c8d9e2ad315d92d83f554e717b83140 | [
"MIT"
] | null | null | null | PAN03.py | zfng/Synth2021 | 80f854a38c8d9e2ad315d92d83f554e717b83140 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from FUNCS import FNS
from LEGS import LegVar, LegFun
from BMAP3D import MapVar, MapFun
# ---------------------------------------------------------------------------------------------------------------------
# Leg Module - pr... | 36.284483 | 119 | 0.540508 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from FUNCS import FNS
from LEGS import LegVar, LegFun
from BMAP3D import MapVar, MapFun
# ---------------------------------------------------------------------------------------------------------------------
# Leg Module - pr... | 0 | 0 | 0 | 0 | 0 | 2,334 | 0 | 0 | 27 |
b4fa1f153a1f39fc6ff70b1f33e0a3deba093dce | 901 | py | Python | 2021/day21/part1.py | trongbq/adventofcode | 7ab692a91304a00a7843460052238b98c6f44963 | [
"MIT"
] | null | null | null | 2021/day21/part1.py | trongbq/adventofcode | 7ab692a91304a00a7843460052238b98c6f44963 | [
"MIT"
] | null | null | null | 2021/day21/part1.py | trongbq/adventofcode | 7ab692a91304a00a7843460052238b98c6f44963 | [
"MIT"
] | null | null | null | dice_state = 0
# https://adventofcode.com/2021/day/21
if __name__ == '__main__':
res = solve(2, 5)
print(res)
| 20.022222 | 149 | 0.584906 | dice_state = 0
# https://adventofcode.com/2021/day/21
def solve(p1, p2):
sc1, sc2 = 0, 0
roll = 0
turn = 1
while sc1 < 1000 and sc2 < 1000:
if turn == 1:
p1, d = move(p1)
sc1 += p1
turn = 2
else:
p2, d = move(p2)
sc2 += p2
turn = 1
roll += 3
print(f"Player ... | 0 | 0 | 0 | 0 | 0 | 689 | 0 | 0 | 91 |
7eb89475feb9090a048453009a38fa835e21dcc4 | 5,254 | py | Python | Simon/penny/guesser.py | uncharted-distil/simon | 26e4e54e6de455bde8ee1a24634d060e1ec7babb | [
"MIT"
] | null | null | null | Simon/penny/guesser.py | uncharted-distil/simon | 26e4e54e6de455bde8ee1a24634d060e1ec7babb | [
"MIT"
] | 2 | 2021-01-27T14:57:26.000Z | 2021-10-07T19:34:09.000Z | Simon/penny/guesser.py | uncharted-distil/simon | 26e4e54e6de455bde8ee1a24634d060e1ec7babb | [
"MIT"
] | 1 | 2021-03-18T19:13:05.000Z | 2021-03-18T19:13:05.000Z | ''' from .value_checks import (is_a_date, is_a_number, is_a_nothing,
is_a_latitude, is_a_longitude, is_a_coord_pair, is_a_country, is_a_city,
is_a_state, is_a_address, is_a_text, is_a_label, is_a_zip, is_a_street,
is_a_phone, is_a_url, is_a_email, is_a_time, is_a_currency, is_a_percent) '''
# currently u... | 28.554348 | 82 | 0.627141 | from collections import Counter
from .utils import to_unicode
''' from .value_checks import (is_a_date, is_a_number, is_a_nothing,
is_a_latitude, is_a_longitude, is_a_coord_pair, is_a_country, is_a_city,
is_a_state, is_a_address, is_a_text, is_a_label, is_a_zip, is_a_street,
is_a_phone, is_a_url, is_a_ema... | 0 | 0 | 0 | 0 | 0 | 4,529 | 0 | 26 | 113 |
167caa472eff4c5160a21abaa6c6538ab4eb084f | 244 | py | Python | Tree_Traversal/01_csTreeTraversalCategories.py | med-cab1/CSPT15_BST_GP | b526bd03cc9ff256963b1b7f48e40697a4558b4c | [
"MIT"
] | null | null | null | Tree_Traversal/01_csTreeTraversalCategories.py | med-cab1/CSPT15_BST_GP | b526bd03cc9ff256963b1b7f48e40697a4558b4c | [
"MIT"
] | null | null | null | Tree_Traversal/01_csTreeTraversalCategories.py | med-cab1/CSPT15_BST_GP | b526bd03cc9ff256963b1b7f48e40697a4558b4c | [
"MIT"
] | 38 | 2020-12-02T02:04:13.000Z | 2021-02-11T03:48:57.000Z | """
What are the two primary categories for tree traversals?
A - 1- Depth-First
2- Breadth-First
B - 1- Height-First
2- Width-First
C - 1- Level-First
2- Branch-First
D - 1- Leaf-First
2- Branch-First
answer is :
""" | 10.166667 | 56 | 0.618852 | """
What are the two primary categories for tree traversals?
A - 1- Depth-First
2- Breadth-First
B - 1- Height-First
2- Width-First
C - 1- Level-First
2- Branch-First
D - 1- Leaf-First
2- Branch-First
answer is :
""" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
84ccc37d6e154935b315a0ef917ab237b5b2c86e | 468 | py | Python | leetcode/contests/biweekly-contest-3/2-1100. Find K-Length Substrings With No Repeated Characters.py | palash24/algorithms-and-data-structures | 164be7d1a501a21af808673888964bbab36243a1 | [
"MIT"
] | 23 | 2018-11-06T03:54:00.000Z | 2022-03-14T13:30:40.000Z | leetcode/contests/biweekly-contest-3/2-1100. Find K-Length Substrings With No Repeated Characters.py | palash24/algorithms-and-data-structures | 164be7d1a501a21af808673888964bbab36243a1 | [
"MIT"
] | null | null | null | leetcode/contests/biweekly-contest-3/2-1100. Find K-Length Substrings With No Repeated Characters.py | palash24/algorithms-and-data-structures | 164be7d1a501a21af808673888964bbab36243a1 | [
"MIT"
] | 5 | 2019-05-24T16:56:45.000Z | 2022-03-10T17:29:10.000Z | # 1100. Find K-Length Substrings With No Repeated Characters
print(Solution().numKLenSubstrNoRepeats("havefunonleetcode", 5)) | 33.428571 | 64 | 0.570513 | # 1100. Find K-Length Substrings With No Repeated Characters
import collections
class Solution:
def numKLenSubstrNoRepeats(self, S: str, K: int) -> int:
if K > len(S): return 0
ans = 0
for i in range(len(S)-K+1):
cnt = collections.Counter(S[i:i+K])
if all(v =... | 0 | 0 | 0 | 289 | 0 | 0 | 0 | -3 | 44 |
865f1998b8248e73167722084a218b89ab01c1ce | 25,385 | py | Python | sdk/python/pulumi_google_native/appengine/v1/get_version.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 44 | 2021-04-18T23:00:48.000Z | 2022-02-14T17:43:15.000Z | sdk/python/pulumi_google_native/appengine/v1/get_version.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 354 | 2021-04-16T16:48:39.000Z | 2022-03-31T17:16:39.000Z | sdk/python/pulumi_google_native/appengine/v1/get_version.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 8 | 2021-04-24T17:46:51.000Z | 2022-01-05T10:40:21.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
import pulumi.runtime
from typing import Optional
from ... import _utilities
__all__ = [
'GetVersionResult',
'AwaitableGetVersion... | 46.577982 | 766 | 0.68312 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 0 | 20,419 | 0 | 1,870 | 0 | 0 | 0 | 35 | 114 |
6bd4c7083e65c9f822b460dc08b16a677df05fcf | 7,863 | py | Python | app.py | schuyler/odm360 | cd33688db91443b5db3451d2800a465d9fef7931 | [
"MIT"
] | null | null | null | app.py | schuyler/odm360 | cd33688db91443b5db3451d2800a465d9fef7931 | [
"MIT"
] | null | null | null | app.py | schuyler/odm360 | cd33688db91443b5db3451d2800a465d9fef7931 | [
"MIT"
] | null | null | null | # Server is setup here
from flask import (Flask)
from flask_bootstrap import Bootstrap
import psycopg2
import logging
from odm360.log import start_logger
from odm360 import dbase
from odm360.states import states
db = "dbname=odm360 user=odm360 host=localhost password=zanzibar"
conn = psycopg2.connect(db)
cur = conn.c... | 33.892241 | 165 | 0.638815 | # Server is setup here
from flask import (
Flask,
render_template,
redirect,
request,
jsonify,
make_response,
Response,
)
from flask_bootstrap import Bootstrap
import psycopg2
import logging
from odm360.log import start_logger, stream_logger
from odm360.camera360rig import do_request
from o... | 0 | 6,408 | 0 | 0 | 0 | 149 | 0 | 150 | 297 |
d21a6ff2453628d9674e8dd1561e0aef09c9335c | 4,962 | py | Python | model.py | hatsuame/LineRelifer | 90e8592dfd8e758aa3b42ddb81771164f4573a60 | [
"MIT"
] | 23 | 2018-04-17T07:28:58.000Z | 2022-01-26T15:34:34.000Z | model.py | hatsuame/LineRelifer | 90e8592dfd8e758aa3b42ddb81771164f4573a60 | [
"MIT"
] | null | null | null | model.py | hatsuame/LineRelifer | 90e8592dfd8e758aa3b42ddb81771164f4573a60 | [
"MIT"
] | 1 | 2018-05-13T00:57:02.000Z | 2018-05-13T00:57:02.000Z |
SEED = 1
ITERATIONS = 10001
BATCH_SIZE = 8
IMG_SHAPE = (256, 256, 1)
IMG_HEIGHT, IMG_WIDTH, IMG_CHAN = IMG_SHAPE
if __name__ == "__main__":
train()
| 27.566667 | 120 | 0.615276 | import numpy as np
import datetime
from keras.models import Model
from keras.layers import Input, Activation, Reshape, BatchNormalization, MaxPool2D, Conv2D, Add, Dropout, Flatten, Dense
from keras.optimizers import Adam
from keras.preprocessing.image import ImageDataGenerator
from keras.applications import xception
... | 0 | 0 | 0 | 0 | 0 | 4,368 | 0 | 164 | 270 |
ee608fa5b117d9394478055bcfa7e40cae18da3b | 15,237 | py | Python | main_lsdr_ol.py | xjtuygao/EPT | 1fb39f0f8508dd5531a97671c3b7294c7d20c286 | [
"MIT"
] | null | null | null | main_lsdr_ol.py | xjtuygao/EPT | 1fb39f0f8508dd5531a97671c3b7294c7d20c286 | [
"MIT"
] | null | null | null | main_lsdr_ol.py | xjtuygao/EPT | 1fb39f0f8508dd5531a97671c3b7294c7d20c286 | [
"MIT"
] | null | null | null | from __future__ import print_function
# basic functions
import argparse
import os
import random
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.switch_backend('agg')
# torch functions
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudn... | 36.539568 | 133 | 0.628208 | from __future__ import print_function
# basic functions
import argparse
import os
import random
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.switch_backend('agg')
# torch functions
import torch
import torch.nn as nn
import torch.nn.parallel
from torch.autograd import grad as ... | 0 | 0 | 0 | 0 | 0 | 361 | 0 | 33 | 90 |
d49372b8a81c000e0e9cf63cfc844469840d8ddd | 1,716 | py | Python | problems/array/Solution1652.py | akalu/cs-problems-python | 9b1bd8e3932be62135a38a77f955ded9a766b654 | [
"MIT"
] | null | null | null | problems/array/Solution1652.py | akalu/cs-problems-python | 9b1bd8e3932be62135a38a77f955ded9a766b654 | [
"MIT"
] | null | null | null | problems/array/Solution1652.py | akalu/cs-problems-python | 9b1bd8e3932be62135a38a77f955ded9a766b654 | [
"MIT"
] | null | null | null | """ You have a bomb to defuse, and your time is running out! Your informer will
provide you with a circular array code of length of n and a key k. To decrypt
the code, you must replace every number. All the numbers are replaced
simultaneously.
If k > 0, replace the ith number with the sum of the next... | 33 | 81 | 0.555361 | """ You have a bomb to defuse, and your time is running out! Your informer will
provide you with a circular array code of length of n and a key k. To decrypt
the code, you must replace every number. All the numbers are replaced
simultaneously.
If k > 0, replace the ith number with the sum of the next... | 0 | 0 | 0 | 727 | 0 | 0 | 0 | 2 | 45 |
4d41deba294d765948d6032e78b1d818612a5eab | 4,190 | py | Python | DBSCAN Clustering/Demo/DBSCAN_Clustering.py | aryasoni98/Statistics-and-Econometrics-for-Data-Science | 6e1e67b49289a74522d65ea52b843801756c6c5f | [
"MIT"
] | null | null | null | DBSCAN Clustering/Demo/DBSCAN_Clustering.py | aryasoni98/Statistics-and-Econometrics-for-Data-Science | 6e1e67b49289a74522d65ea52b843801756c6c5f | [
"MIT"
] | null | null | null | DBSCAN Clustering/Demo/DBSCAN_Clustering.py | aryasoni98/Statistics-and-Econometrics-for-Data-Science | 6e1e67b49289a74522d65ea52b843801756c6c5f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# In[2]:
df=pd.read_csv("./Dataset/Mall_Customers.csv")
# In[3]:
df.head()
# In[4]:
df.info()
# In[5]:
df.describe()
# In[6]:
df.rename(columns={'Annual Inco... | 17.531381 | 448 | 0.63747 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# In[2]:
df=pd.read_csv("./Dataset/Mall_Customers.csv")
# In[3]:
df.head()
# In[4]:
df.info()
# In[5]:
df.describe()
# In[6]:
df.rename(columns={'Annual Inco... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 23 |
fc977aa01da06ec285fac44c38b82017adce47e1 | 546 | py | Python | acra_api/split.py | legalese/legalese-google-app | 8bf34cf4a956c55a0551e056f0a24741dcf9ff26 | [
"Apache-2.0"
] | 8 | 2016-09-15T02:20:40.000Z | 2021-05-19T04:16:34.000Z | acra_api/split.py | legalese/legalese-google-app | 8bf34cf4a956c55a0551e056f0a24741dcf9ff26 | [
"Apache-2.0"
] | 4 | 2016-09-19T08:33:16.000Z | 2016-09-30T22:16:53.000Z | acra_api/split.py | legalese/legalese-google-app | 8bf34cf4a956c55a0551e056f0a24741dcf9ff26 | [
"Apache-2.0"
] | 1 | 2016-08-19T13:59:37.000Z | 2016-08-19T13:59:37.000Z | import json
f = open('/path/to/json', 'r')
h = json.load(f)
'''
for i in h["UEN_DATAGOV"]["BODY"][0]["DATA"]:
if i["ENTITY_NAME"][0] == "LEGALESE PTE. LTD.":
print i["ENTITY_NAME"][0]
print i["UEN"][0]
'''
# note that my parser prints the key values into a single-element array
chunkSize = 4550
wi... | 27.3 | 77 | 0.584249 | import json
import sys
f = open('/path/to/json', 'r')
h = json.load(f)
'''
for i in h["UEN_DATAGOV"]["BODY"][0]["DATA"]:
if i["ENTITY_NAME"][0] == "LEGALESE PTE. LTD.":
print i["ENTITY_NAME"][0]
print i["UEN"][0]
'''
# note that my parser prints the key values into a single-element array
chunkSiz... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 22 |
2e7e5e7e8237d6f391b0d45ec5d63cc57e8776fe | 644 | py | Python | imageSpider/pipelines.py | Maaaaaaaa12138/imageSpider | 2142eb89f50950bdc6d17641a61a42d08fba3268 | [
"MIT"
] | null | null | null | imageSpider/pipelines.py | Maaaaaaaa12138/imageSpider | 2142eb89f50950bdc6d17641a61a42d08fba3268 | [
"MIT"
] | 9 | 2021-03-19T03:44:12.000Z | 2022-03-12T00:30:38.000Z | imageSpider/pipelines.py | Maaaaaaaa12138/imageSpider | 2142eb89f50950bdc6d17641a61a42d08fba3268 | [
"MIT"
] | 1 | 2021-04-30T02:29:45.000Z | 2021-04-30T02:29:45.000Z | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html | 33.894737 | 73 | 0.698758 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import scrapy
from scrapy.pipelines.images import ImagesPipeline
class ImagespiderPipeline(ImagesPipeline):
def get... | 0 | 0 | 0 | 362 | 0 | 0 | 0 | 21 | 68 |
a9bfd2c084ca7cadec1eda2c245ec0f618ba73f5 | 1,845 | py | Python | api/server_inference.py | smolendawid/ubaar-competition | 28de972d6beb13343c537fc030101be672a852a3 | [
"Apache-2.0"
] | null | null | null | api/server_inference.py | smolendawid/ubaar-competition | 28de972d6beb13343c537fc030101be672a852a3 | [
"Apache-2.0"
] | null | null | null | api/server_inference.py | smolendawid/ubaar-competition | 28de972d6beb13343c537fc030101be672a852a3 | [
"Apache-2.0"
] | null | null | null | import os
import pandas as pd
from feature_extraction.path_utils import project_root
import joblib
raw_data = pd.read_csv(os.path.join(project_root(), 'data', 'raw', 'ubaar-competition', 'train.csv'),
encoding="utf-8", index_col="ID")
all_features_cols = pd.read_csv(os.path.join(project_root(), ... | 38.4375 | 104 | 0.730081 | import os
import pandas as pd
from feature_extraction.date_utils import date_features
from feature_extraction.coords_features import coord_features
from feature_extraction.other_features import raw_features, categorical_features
from feature_extraction.path_utils import project_root
import xgboost as xgb
import joblib
... | 0 | 0 | 0 | 0 | 0 | 844 | 0 | 133 | 134 |
c5623e5ee9db6463d65c55baf0653205703e7d4a | 329 | py | Python | view/routes.py | Yoshiinori/droid-multi | 451cb361692efbe3999409f9d5f9ee2cd944c17d | [
"MIT"
] | 1 | 2020-12-15T09:58:14.000Z | 2020-12-15T09:58:14.000Z | view/routes.py | Yoshiinori/droid-multi | 451cb361692efbe3999409f9d5f9ee2cd944c17d | [
"MIT"
] | null | null | null | view/routes.py | Yoshiinori/droid-multi | 451cb361692efbe3999409f9d5f9ee2cd944c17d | [
"MIT"
] | null | null | null | from flask import Blueprint
view = Blueprint('view', __name__, template_folder='templates')
print('view working') | 23.5 | 63 | 0.696049 | from flask import Blueprint, render_template, session
view = Blueprint('view', __name__, template_folder='templates')
@view.route('/')
def index():
username = 'hello'
if 'username' in session:
username = session['username']
return render_template('index.html', username=username)
print('view ... | 0 | 158 | 0 | 0 | 0 | 0 | 0 | 26 | 23 |
701bb5ae63a734bfbe9eb252e0d76238ac48381e | 12,128 | py | Python | csp/csp.py | mkbabb/csp-solver | b5e4aab74d62709f4804bec25b6d5488378f896d | [
"Unlicense"
] | null | null | null | csp/csp.py | mkbabb/csp-solver | b5e4aab74d62709f4804bec25b6d5488378f896d | [
"Unlicense"
] | null | null | null | csp/csp.py | mkbabb/csp-solver | b5e4aab74d62709f4804bec25b6d5488378f896d | [
"Unlicense"
] | null | null | null |
V = TypeVar("V")
D = TypeVar("D")
Solution = Dict[V, D]
Constraint = Callable[[Solution], bool]
if __name__ == "__main__":
kwargs = {
"pruning_type": PruningType.AC3,
"variable_ordering": VariableOrdering.FAIL_FIRST,
"max_solutions": 100,
}
csps = [map_coloring(**kw... | 30.938776 | 88 | 0.610818 | import pprint
import random
from collections import defaultdict, deque
from enum import Enum, auto
from typing import *
import numpy as np
V = TypeVar("V")
D = TypeVar("D")
Solution = Dict[V, D]
Constraint = Callable[[Solution], bool]
class PruningType(Enum):
FORWARD_CHECKING = auto()
AC3 = auto()
AC_F... | 0 | 0 | 0 | 7,503 | 0 | 3,705 | 0 | 7 | 455 |
d739b85698982f3e86d8476bd9cf16f8fe06ea62 | 305 | py | Python | VSR/Backend/Torch/Models/Contrib/ntire20/xiaozhong/__init__.py | Kadantte/VideoSuperResolution | 4c86e49d81c7a9bea1fe0780d651afc126768df3 | [
"MIT"
] | 1,447 | 2018-06-04T08:44:07.000Z | 2022-03-29T06:19:10.000Z | VSR/Backend/Torch/Models/Contrib/ntire20/xiaozhong/__init__.py | Kadantte/VideoSuperResolution | 4c86e49d81c7a9bea1fe0780d651afc126768df3 | [
"MIT"
] | 96 | 2018-08-29T01:02:45.000Z | 2022-01-12T06:00:01.000Z | VSR/Backend/Torch/Models/Contrib/ntire20/xiaozhong/__init__.py | Kadantte/VideoSuperResolution | 4c86e49d81c7a9bea1fe0780d651afc126768df3 | [
"MIT"
] | 307 | 2018-06-26T13:35:54.000Z | 2022-01-21T09:01:54.000Z | # Copyright (c) 2017-2020 Wenyi Tang.
# Author: Wenyi Tang
# Email: wenyitang@outlook.com
# Update: 2020 - 5 - 28
import logging
_logger = logging.getLogger("VSR.RWSR")
_logger.info("LICENSE: RealSR is implemented by Xiaozhong Ji. "
"@xiaozhongji https://github.com/jixiaozhong/RealSR")
| 30.5 | 66 | 0.701639 | # Copyright (c) 2017-2020 Wenyi Tang.
# Author: Wenyi Tang
# Email: wenyitang@outlook.com
# Update: 2020 - 5 - 28
import logging
_logger = logging.getLogger("VSR.RWSR")
_logger.info("LICENSE: RealSR is implemented by Xiaozhong Ji. "
"@xiaozhongji https://github.com/jixiaozhong/RealSR")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b561ead315ebf2163401e97c2659a90145251c28 | 3,850 | py | Python | snipy/plot_helpers.py | navdeeprana/snipy | 55a5286a17d1c471d147e9ed7cbe06945c3eef02 | [
"MIT"
] | null | null | null | snipy/plot_helpers.py | navdeeprana/snipy | 55a5286a17d1c471d147e9ed7cbe06945c3eef02 | [
"MIT"
] | null | null | null | snipy/plot_helpers.py | navdeeprana/snipy | 55a5286a17d1c471d147e9ed7cbe06945c3eef02 | [
"MIT"
] | null | null | null | import matplotlib
from matplotlib import pyplot as plt
def no_ticks(ax, axis="both"):
"""
Remove ticks and labels from one or both axis.
ax : matplotlib ax object.
axis : "both", "x", "y"
"""
try:
for axi in ax:
set(axi)
except:
set(ax)
def cmap_colors(n_... | 25.328947 | 76 | 0.599481 | import numpy as np
import matplotlib
from matplotlib import pyplot as plt
def no_ticks(ax, axis="both"):
"""
Remove ticks and labels from one or both axis.
ax : matplotlib ax object.
axis : "both", "x", "y"
"""
from numpy import ndarray
def set(ax):
if axis == "both" or axis == ... | 0 | 0 | 0 | 0 | 0 | 1,611 | 0 | 17 | 286 |
d2c88e044e1de21a07e0cac103586cc5d21d6b70 | 1,411 | py | Python | lang/Python/levenshtein-distance-3.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | lang/Python/levenshtein-distance-3.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | lang/Python/levenshtein-distance-3.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null |
print((
ld('kitten','kitten'), # 0
ld('kitten','sitten'), # 1
ld('kitten','sittes'), # 2
ld('kitten','sityteng'), # 3
ld('kitten','sittYing'), # 4
ld('rosettacode','raisethysword'), # 8
ld('kitten','kittenaaaaaaaaaaaaaaaaa'), # 17
ld('kittenaaaaaaaaaaaaaaaaa','kitten') # 17
))
print((
... | 32.813953 | 68 | 0.533664 | def ld(a, b, mx=-1):
def result(d): return d if mx < 0 else False if d > mx else True
if a == b: return result(0)
la, lb = len(a), len(b)
if mx >= 0 and abs(la - lb) > mx: return result(mx+1)
if la == 0: return result(lb)
if lb == 0: return result(la)
if lb > la: a, b, la, lb = b, a, lb, l... | 0 | 0 | 0 | 0 | 0 | 725 | 0 | 0 | 22 |
997d71ff359b2b27a7cc8e63b3f0c00567fcdf52 | 1,179 | py | Python | ML Artefact 2/main.py | amifsud02/Machine-Learning---Object-Detection | fbf8b67ca93f7a31e20e7b06602f70bae29dbc4a | [
"Unlicense"
] | null | null | null | ML Artefact 2/main.py | amifsud02/Machine-Learning---Object-Detection | fbf8b67ca93f7a31e20e7b06602f70bae29dbc4a | [
"Unlicense"
] | null | null | null | ML Artefact 2/main.py | amifsud02/Machine-Learning---Object-Detection | fbf8b67ca93f7a31e20e7b06602f70bae29dbc4a | [
"Unlicense"
] | null | null | null | import cv2 as cv
faceCascade = cv.CascadeClassifier('haarcascade/haarcascade_frontalface_default.xml') #most accurate
eyeCascade = cv.CascadeClassifier('haarcascade/haarcascade_eye.xml')
video = cv.VideoCapture(0)
while(True):
ret, frame = video.read()
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
f... | 31.026316 | 100 | 0.578456 | import cv2 as cv
faceCascade = cv.CascadeClassifier('haarcascade/haarcascade_frontalface_default.xml') #most accurate
eyeCascade = cv.CascadeClassifier('haarcascade/haarcascade_eye.xml')
video = cv.VideoCapture(0)
while(True):
ret, frame = video.read()
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9ba5e8ded5c859b527a1f9a92667c3dc77db3a2d | 257 | py | Python | lang/python/modelaapi/__init__.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | 5 | 2022-02-18T03:40:10.000Z | 2022-03-01T16:11:24.000Z | lang/python/modelaapi/__init__.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | 1 | 2022-01-07T19:59:25.000Z | 2022-02-04T01:21:14.000Z | lang/python/modelaapi/__init__.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | 1 | 2022-03-25T10:21:43.000Z | 2022-03-25T10:21:43.000Z | ##########################################################################
## Package Version
##########################################################################
from .version import get_version
__version__ = get_version(short=True) | 51.4 | 74 | 0.346304 | ##########################################################################
## Package Version
##########################################################################
from .version import get_version, __version_info__
__version__ = get_version(short=True) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 |
98efbf34cf83a2d8fce0470b97f10ff4c12f2a66 | 359 | py | Python | pyexplain/attach/examples/urls.py | LucasMagnum/pyexplain | ca7a91df8519f576c21d5ede4b4f779fabfd5cbe | [
"MIT"
] | 6 | 2018-03-20T19:50:47.000Z | 2021-11-21T12:59:01.000Z | pyexplain/attach/examples/urls.py | LucasMagnum/pyexplain | ca7a91df8519f576c21d5ede4b4f779fabfd5cbe | [
"MIT"
] | 1 | 2015-10-30T22:01:28.000Z | 2015-11-03T23:07:52.000Z | pyexplain/attach/examples/urls.py | LucasMagnum/pyexplain | ca7a91df8519f576c21d5ede4b4f779fabfd5cbe | [
"MIT"
] | 1 | 2015-12-18T12:53:59.000Z | 2015-12-18T12:53:59.000Z | # coding: utf-8
from . import views
from django.conf.urls import url
urlpatterns = [
url(
r'^create/(?P<app_label>\w+)/(?P<model>\w+)/(?P<obj_id>\d+)/$',
views.ExampleCreateView.as_view(),
name='create'
),
url(
r'^update/(?P<pk>\d+)/$',
views.ExampleUpdateView.as_... | 17.95 | 71 | 0.532033 | # coding: utf-8
from . import views
from django.conf.urls import url
urlpatterns = [
url(
r'^create/(?P<app_label>\w+)/(?P<model>\w+)/(?P<obj_id>\d+)/$',
views.ExampleCreateView.as_view(),
name='create'
),
url(
r'^update/(?P<pk>\d+)/$',
views.ExampleUpdateView.as_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a0f03ac34b998ef30737a7e0e14d6c3f86917db | 2,090 | py | Python | Classification/random_forest_classification.py | KacperKubara/SUAIS_Workshops | ab989150855d4612d801c759ae486e48176083b0 | [
"MIT"
] | 11 | 2019-02-04T18:14:49.000Z | 2022-03-20T13:29:01.000Z | Classification/random_forest_classification.py | MohamedNabilFcih/Workshops-Material | f69b55bc49d0b76a22922a7450b755d94feefc78 | [
"MIT"
] | 2 | 2019-02-01T21:42:22.000Z | 2019-03-18T17:11:04.000Z | Classification/random_forest_classification.py | MohamedNabilFcih/Workshops-Material | f69b55bc49d0b76a22922a7450b755d94feefc78 | [
"MIT"
] | 3 | 2019-02-04T18:17:33.000Z | 2019-03-18T15:33:21.000Z | # Random forest classification with PCA
import pandas as pd
import matplotlib.pyplot as plt
# Read Data
from sklearn.datasets import load_iris
dataset = load_iris()
# Choose which features to use
x = dataset["data"] # It has 4 features - with PCA we will reduce it to 3 for 3D visualisation
y = dataset["target"] #... | 34.262295 | 97 | 0.743541 | # Random forest classification with PCA
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Read Data
from sklearn.datasets import load_iris
dataset = load_iris()
# Choose which features to use
x = dataset["data"] # It has 4 features - with PCA we will reduce it to 3 for 3D visualisation
y =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 45 |
bb2a83c3c3acc7e93a8a2d765afb094b00927c42 | 2,439 | py | Python | pypolybuilder/Bond.py | mssm-labmmol/pypolybuilder | 0b6cc8d7c67492e5cbcbc6e6999d7546eb133190 | [
"MIT"
] | 16 | 2021-04-06T02:24:24.000Z | 2022-02-04T16:32:22.000Z | pypolybuilder/Bond.py | mssm-labmmol/pypolybuilder | 0b6cc8d7c67492e5cbcbc6e6999d7546eb133190 | [
"MIT"
] | null | null | null | pypolybuilder/Bond.py | mssm-labmmol/pypolybuilder | 0b6cc8d7c67492e5cbcbc6e6999d7546eb133190 | [
"MIT"
] | 2 | 2021-04-14T02:37:57.000Z | 2022-01-05T18:12:21.000Z | """
Created on Dec 22, 2013
@author: root
"""
| 28.694118 | 115 | 0.558016 | """
Created on Dec 22, 2013
@author: root
"""
import Utils
from Utils import print_pypoly_warning
class Bond(object):
__a1 = None
__a2 = None
__func = None
__param = None
def __init__(self, a1, a2, func, param):
self.__a1 = a1
self.__a2 = a2
self.__func = func
... | 0 | 0 | 0 | 2,316 | 0 | 0 | 0 | 8 | 67 |
62d3bb59c1ffa044a17258ddf6d4ddd27e36797d | 360 | py | Python | pics/urls.py | wamakimaN/galeria | 0088d0ef7dd23f019e015736535b0556c43c7cdd | [
"MIT"
] | null | null | null | pics/urls.py | wamakimaN/galeria | 0088d0ef7dd23f019e015736535b0556c43c7cdd | [
"MIT"
] | 3 | 2021-06-08T20:54:29.000Z | 2021-09-08T01:38:37.000Z | pics/urls.py | wamakimaN/galeria | 0088d0ef7dd23f019e015736535b0556c43c7cdd | [
"MIT"
] | null | null | null | from django.conf.urls import url
from django.conf import settings
from . import views
from django.conf.urls.static import static
urlpatterns = [
url(r'^$', views.home_page, name='homePage'),
url(r'^category/', views.category, name='showCategory'),
]
if settings.DEBUG:
urlpatterns+= static(settings.MEDIA_U... | 30 | 81 | 0.744444 | from django.conf.urls import url
from django.conf import settings
from . import views
from django.conf.urls.static import static
urlpatterns = [
url(r'^$', views.home_page, name='homePage'),
url(r'^category/', views.category, name='showCategory'),
]
if settings.DEBUG:
urlpatterns+= static(settings.MEDIA_U... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0fd5a34c6d5608f650b6d88cfa7fc54bb96e8c8e | 1,215 | py | Python | darkroom/models.py | jonnygovish/Darkroom | 04e27e0adfe5ef95307be16f86f7bba6193b3dbc | [
"MIT"
] | 1 | 2019-08-13T09:48:21.000Z | 2019-08-13T09:48:21.000Z | darkroom/models.py | jonnygovish/Darkroom | 04e27e0adfe5ef95307be16f86f7bba6193b3dbc | [
"MIT"
] | null | null | null | darkroom/models.py | jonnygovish/Darkroom | 04e27e0adfe5ef95307be16f86f7bba6193b3dbc | [
"MIT"
] | null | null | null |
# Create your models here.
| 21.696429 | 59 | 0.702881 | from django.db import models
# Create your models here.
class User(models.Model):
first_name = models.CharField(max_length = 30)
last_name = models.CharField(max_length = 30)
email = models.EmailField()
def __str__(self):
return self.first_name
def save_user(self):
self.save()
class Meta:
o... | 0 | 226 | 0 | 863 | 0 | 0 | 0 | 7 | 90 |
fa94ba36f260a400c46a8d9e5a2aab74ead026c4 | 765 | py | Python | screenpy/actions/dismiss_alert.py | perrygoy/screenpy | 862c0d7e5ff9f1265e520ab383c04ddbd4d060eb | [
"MIT"
] | 39 | 2019-03-22T15:18:23.000Z | 2022-02-23T17:32:03.000Z | screenpy/actions/dismiss_alert.py | perrygoy/screenpy | 862c0d7e5ff9f1265e520ab383c04ddbd4d060eb | [
"MIT"
] | 63 | 2019-07-17T06:25:19.000Z | 2022-01-13T07:03:53.000Z | screenpy/actions/dismiss_alert.py | bandophahita/screenpy | db0f3ef91a891b9d095016d83fa4b589620808ce | [
"MIT"
] | 15 | 2019-07-09T11:02:56.000Z | 2021-12-24T07:43:56.000Z | """
Dismiss a javascript alert.
"""
| 23.90625 | 65 | 0.647059 | """
Dismiss a javascript alert.
"""
from screenpy.abilities import BrowseTheWeb
from screenpy.actor import Actor
from screenpy.pacing import aside, beat
class DismissAlert:
"""Dismiss an alert.
Abilities Required:
|BrowseTheWeb|
Examples::
the_actor.attempts_to(DismissAlert())
"""
... | 0 | 298 | 0 | 289 | 0 | 0 | 0 | 51 | 90 |
98c3fe27d54c7d6930b7045994a0da5df8f4026e | 326 | py | Python | tests/test_git.py | joshuaellinger/corona19-data-pipeline | b0a3582d9cd3c765b682264c855258f7690d94d6 | [
"Apache-2.0"
] | 17 | 2020-03-27T15:30:08.000Z | 2020-10-15T15:01:57.000Z | tests/test_git.py | joshuaellinger/corona19-data-pipeline | b0a3582d9cd3c765b682264c855258f7690d94d6 | [
"Apache-2.0"
] | 5 | 2020-03-15T15:41:10.000Z | 2020-03-31T00:39:00.000Z | tests/test_git.py | joshuaellinger/corona19-data-pipeline | b0a3582d9cd3c765b682264c855258f7690d94d6 | [
"Apache-2.0"
] | 7 | 2020-03-20T21:17:54.000Z | 2021-03-31T00:41:44.000Z | #
# working file for testing git support . should be a unit test
#
from src import check_path
check_path()
if __name__ == "__main__":
test_status()
| 14.173913 | 64 | 0.677914 | #
# working file for testing git support . should be a unit test
#
import sys
import os
from src import check_path
check_path()
from shared.util_git import pull, push, isbehind
def test_status():
xdir = sys.path[0]
x = isbehind(xdir)
print(f"isbehind = {x}")
if __name__ == "__main__":
test_stat... | 0 | 0 | 0 | 0 | 0 | 74 | 0 | 4 | 90 |
6fc76e198c3f990fa57f64dad73d15822e4435f1 | 395 | py | Python | src/gaming_bot/utils/exceptions.py | Unknown15082/gaming-bot | d454094f152a92402b6fd2dae4c89f624c0d547d | [
"MIT"
] | null | null | null | src/gaming_bot/utils/exceptions.py | Unknown15082/gaming-bot | d454094f152a92402b6fd2dae4c89f624c0d547d | [
"MIT"
] | null | null | null | src/gaming_bot/utils/exceptions.py | Unknown15082/gaming-bot | d454094f152a92402b6fd2dae4c89f624c0d547d | [
"MIT"
] | null | null | null | """
Files for every custom exceptions.
"""
| 23.235294 | 77 | 0.637975 | """
Files for every custom exceptions.
"""
class GameNotFoundError(Exception):
"""
Exception to raise when the required game is not found.
"""
def __init__(self, game_type: str, game_id: int) -> None:
self.game_id = game_id
self.game_type = game_type
def __str__(self) -> str:
... | 0 | 0 | 0 | 328 | 0 | 0 | 0 | 0 | 23 |
60b2af9de09831f509a1a5e05e9ee15b1eb3477c | 2,014 | py | Python | conrad/schema.py | hasan-haider/conrad | 3e040b73a0cbec0ecee36c397c3bdedf9e439b54 | [
"Apache-2.0"
] | 244 | 2019-10-27T22:40:17.000Z | 2022-01-11T13:04:50.000Z | conrad/schema.py | hasan-haider/conrad | 3e040b73a0cbec0ecee36c397c3bdedf9e439b54 | [
"Apache-2.0"
] | 92 | 2019-10-27T23:01:34.000Z | 2021-08-21T15:19:37.000Z | conrad/schema.py | hasan-haider/conrad | 3e040b73a0cbec0ecee36c397c3bdedf9e439b54 | [
"Apache-2.0"
] | 71 | 2019-10-28T03:05:42.000Z | 2022-02-02T13:34:32.000Z | # -*- coding: utf-8 -*-
LATEST = "2"
f1 = "events.json"
v1 = {
"name": {"type": "string", "minlength": 1, "required": True},
"url": {"type": "string", "minlength": 1, "required": True},
"city": {"type": "string", "minlength": 1, "required": True},
"state": {"type": "string", "required": True, "nullabl... | 49.121951 | 86 | 0.5571 | # -*- coding: utf-8 -*-
LATEST = "2"
f1 = "events.json"
v1 = {
"name": {"type": "string", "minlength": 1, "required": True},
"url": {"type": "string", "minlength": 1, "required": True},
"city": {"type": "string", "minlength": 1, "required": True},
"state": {"type": "string", "required": True, "nullabl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cd645d24e4cef57ac2c139482e8bcfd3d50dadb6 | 21,686 | py | Python | pysnmp-with-texts/HP-ICF-IP-LOCKDOWN-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/HP-ICF-IP-LOCKDOWN-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/HP-ICF-IP-LOCKDOWN-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module HP-ICF-IP-LOCKDOWN-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HP-ICF-IP-LOCKDOWN-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:34:15 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (d... | 147.52381 | 2,186 | 0.776953 | #
# PySNMP MIB module HP-ICF-IP-LOCKDOWN-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HP-ICF-IP-LOCKDOWN-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:34:15 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (d... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dd86dbd4ef3a2a9346aac24f05e201323a786ef8 | 3,604 | py | Python | vectorhub/encoders/audio/tfhub/yamnet.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | 1 | 2020-11-04T16:02:39.000Z | 2020-11-04T16:02:39.000Z | vectorhub/encoders/audio/tfhub/yamnet.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | null | null | null | vectorhub/encoders/audio/tfhub/yamnet.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | null | null | null | from ....models_dict import MODEL_REQUIREMENTS
if is_all_dependency_installed(MODEL_REQUIREMENTS['encoders-audio-tfhub-yamnet']):
from ....doc_utils import ModelDefinition
from datetime import date
YamnetModelDefinition = ModelDefinition(
model_id="audio/yamnet",
model_name="Yamnet",
vector_length=1024,
... | 55.446154 | 365 | 0.740844 | from ....import_utils import *
from ....models_dict import MODEL_REQUIREMENTS
if is_all_dependency_installed(MODEL_REQUIREMENTS['encoders-audio-tfhub-yamnet']):
import tensorflow as tf
import tensorflow_hub as hub
from ..base import BaseAudio2Vec
from ....base import catch_vector_errors
from ....doc_utils impo... | 0 | 414 | 0 | 383 | 0 | 0 | 0 | 48 | 142 |
44d34fc0868e00425a9ff4a762b942d42d75e211 | 5,642 | py | Python | tests/test_utils.py | Shopify/pyoozie | 6dcbcb8249820dc40b5a9bbbc04b0370240fd706 | [
"MIT"
] | 9 | 2017-03-16T15:30:23.000Z | 2019-08-07T03:35:59.000Z | tests/test_utils.py | Shopify/pyoozie | 6dcbcb8249820dc40b5a9bbbc04b0370240fd706 | [
"MIT"
] | 43 | 2017-02-01T22:20:52.000Z | 2020-08-10T08:48:20.000Z | tests/test_utils.py | Shopify/pyoozie | 6dcbcb8249820dc40b5a9bbbc04b0370240fd706 | [
"MIT"
] | 5 | 2017-02-08T17:59:06.000Z | 2020-11-12T11:29:08.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017 "Shopify inc." All rights reserved.
# Use of this source code is governed by a MIT-style license that can be found in the LICENSE file.
from __future__ import unicode_literals
| 36.4 | 111 | 0.64268 | # -*- coding: utf-8 -*-
# Copyright (c) 2017 "Shopify inc." All rights reserved.
# Use of this source code is governed by a MIT-style license that can be found in the LICENSE file.
from __future__ import unicode_literals
import xml.etree.ElementTree as et
import pytest
import six
import tests.utils
@pytest.fixture
... | 24 | 578 | 0 | 0 | 0 | 4,660 | 0 | -9 | 182 |
4c42e1dbecc75b75160171083b199f71c48c5b86 | 884 | py | Python | perception/database/migrations/versions/506c8e35ba7c_create_openvas_vuln_table.py | asrozar/perception | e308489e30aaa3495092e3926799e43312ee6242 | [
"MIT"
] | 1 | 2017-08-07T11:05:52.000Z | 2017-08-07T11:05:52.000Z | perception/database/migrations/versions/506c8e35ba7c_create_openvas_vuln_table.py | CriticalSecurity/python-perception | e308489e30aaa3495092e3926799e43312ee6242 | [
"MIT"
] | null | null | null | perception/database/migrations/versions/506c8e35ba7c_create_openvas_vuln_table.py | CriticalSecurity/python-perception | e308489e30aaa3495092e3926799e43312ee6242 | [
"MIT"
] | 1 | 2016-10-10T00:36:29.000Z | 2016-10-10T00:36:29.000Z | """create openvas_vuln table
Revision ID: 506c8e35ba7c
Revises: 13b7c3d4c802
Create Date: 2017-07-21 12:19:35.711173
"""
# revision identifiers, used by Alembic.
revision = '506c8e35ba7c'
down_revision = '13b7c3d4c802'
branch_labels = None
depends_on = None
| 26 | 92 | 0.699095 | """create openvas_vuln table
Revision ID: 506c8e35ba7c
Revises: 13b7c3d4c802
Create Date: 2017-07-21 12:19:35.711173
"""
from sqlalchemy.dialects import postgresql
from alembic import op
import sqlalchemy as sa
import datetime
def _get_date():
return datetime.datetime.now()
# revision identifiers, used by Alem... | 0 | 0 | 0 | 0 | 0 | 445 | 0 | 18 | 157 |
b9e21cfd43d35755fc3138718fd40112f134835f | 342 | py | Python | src/admin_panel/migrations/0025_remove_tariff_services.py | Rey092/myhouse24_django | b2b31873006ec4917c2ed043350f2841745fadfb | [
"MIT"
] | null | null | null | src/admin_panel/migrations/0025_remove_tariff_services.py | Rey092/myhouse24_django | b2b31873006ec4917c2ed043350f2841745fadfb | [
"MIT"
] | null | null | null | src/admin_panel/migrations/0025_remove_tariff_services.py | Rey092/myhouse24_django | b2b31873006ec4917c2ed043350f2841745fadfb | [
"MIT"
] | null | null | null | # Generated by Django 3.2.4 on 2021-07-09 04:35
| 19 | 59 | 0.608187 | # Generated by Django 3.2.4 on 2021-07-09 04:35
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("admin_panel", "0024_alter_service_is_removable"),
]
operations = [
migrations.RemoveField(
model_name="tariff",
name="servic... | 0 | 0 | 0 | 236 | 0 | 0 | 0 | 11 | 46 |
325519a74c6bb9dfb5936da32392fa70764b39b3 | 5,243 | py | Python | pytorch_utils.py | The-Data-Team/SDMR | 93bd04de108d5b3003e31217cb2da74ffcbfe0f3 | [
"MIT"
] | 11 | 2019-05-06T11:24:02.000Z | 2020-06-16T07:31:40.000Z | pytorch_utils.py | The-Data-Team/SDMR | 93bd04de108d5b3003e31217cb2da74ffcbfe0f3 | [
"MIT"
] | null | null | null | pytorch_utils.py | The-Data-Team/SDMR | 93bd04de108d5b3003e31217cb2da74ffcbfe0f3 | [
"MIT"
] | 6 | 2019-08-27T13:59:02.000Z | 2021-06-14T19:26:00.000Z | import torch
def flatten(x):
'''
flatten high dimensional tensor x into an array
:param x:
:return: 1 dimensional tensor
'''
dims = x.size()[1:] #remove the first dimension as it is batch dimension
num_features = 1
for s in dims: num_features *= s
return x.contiguous().view(-1, num_... | 28.807692 | 108 | 0.668701 | import torch
import numpy as np
import collections
from itertools import repeat
import random
def _to_iterable(val, num):
try:
iter(val)
return val
except TypeError:
return (val,) * num
def is_cuda(x):
return x.is_cuda
def flatten(x):
'''
flatten high dimensional tensor x... | 0 | 0 | 0 | 0 | 338 | 2,774 | 0 | -7 | 515 |
dfefa56726aa2b87bad8ce6780932d1ba636fefd | 280 | py | Python | ImageCapture.py | Laokashouji/UAV-Swarm-intelligence-system | 909b62ab3e08ad1e1cbd986a267aff805dc61a8b | [
"MIT"
] | null | null | null | ImageCapture.py | Laokashouji/UAV-Swarm-intelligence-system | 909b62ab3e08ad1e1cbd986a267aff805dc61a8b | [
"MIT"
] | null | null | null | ImageCapture.py | Laokashouji/UAV-Swarm-intelligence-system | 909b62ab3e08ad1e1cbd986a267aff805dc61a8b | [
"MIT"
] | null | null | null | """
"""
from djitellopy import tello
import cv2
drone = tello.Tello()
drone.connect()
print(drone.get_battery())
drone.stream_on()
while True:
img = drone.get_frame_read().frame
img = cv2.resize(img, (360, 240))
cv2.imshow("Image", img)
cv2.waitKey(1) | 15.555556 | 38 | 0.675 | """
无人机获取视频流
"""
from djitellopy import tello
import cv2
drone = tello.Tello()
drone.connect()
print(drone.get_battery())
drone.stream_on()
while True:
img = drone.get_frame_read().frame
img = cv2.resize(img, (360, 240))
cv2.imshow("Image", img)
cv2.waitKey(1) | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
548634e3e1141f27da15655d5ae090069126088d | 1,242 | py | Python | myDataset.py | huangzsdy/pytorch_basic_learning | 7880bc3fcee1d38623d93fa2a36482ccde0e335a | [
"Apache-2.0"
] | null | null | null | myDataset.py | huangzsdy/pytorch_basic_learning | 7880bc3fcee1d38623d93fa2a36482ccde0e335a | [
"Apache-2.0"
] | null | null | null | myDataset.py | huangzsdy/pytorch_basic_learning | 7880bc3fcee1d38623d93fa2a36482ccde0e335a | [
"Apache-2.0"
] | null | null | null | import torch.utils.data as data | 30.292683 | 107 | 0.609501 | import os
import torch
import torch.utils.data as data
from PIL import Image
from multiprocessing.dummy import Pool
def default_loader(path):
return Image.open(path).convert('RGB')
class myImageFolder(data.Dataset):
def __init__(self, label_file, transform = None, target_transform=None, loader=default_loader)... | 0 | 0 | 0 | 1,034 | 0 | 47 | 0 | -4 | 134 |
60f92f4cd0400034e1f7ab9f01a48660f1647b61 | 1,901 | py | Python | datasets/__init__.py | ZongwuYang/tf-imagenet | 7ffdc3059df5e515d891c3722c7229fc72a99705 | [
"Apache-2.0"
] | 1 | 2018-08-29T13:17:42.000Z | 2018-08-29T13:17:42.000Z | datasets/__init__.py | ZongwuYang/tf-imagenet | 7ffdc3059df5e515d891c3722c7229fc72a99705 | [
"Apache-2.0"
] | null | null | null | datasets/__init__.py | ZongwuYang/tf-imagenet | 7ffdc3059df5e515d891c3722c7229fc72a99705 | [
"Apache-2.0"
] | null | null | null | # ==============================================================================
# Copyright 2018 Paul Balanca. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ht... | 41.326087 | 86 | 0.649132 | # ==============================================================================
# Copyright 2018 Paul Balanca. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ht... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 111 | 0 |
d08dd77259abac73bfe28cbfea1ac45a2aebdb36 | 4,901 | py | Python | app/handler.py | aiji42/serverless-expect-fes-setlist-line-itaraction | 323631f7d66bdd3a93c239ed8cb4e5984bb9f68f | [
"MIT"
] | null | null | null | app/handler.py | aiji42/serverless-expect-fes-setlist-line-itaraction | 323631f7d66bdd3a93c239ed8cb4e5984bb9f68f | [
"MIT"
] | null | null | null | app/handler.py | aiji42/serverless-expect-fes-setlist-line-itaraction | 323631f7d66bdd3a93c239ed8cb4e5984bb9f68f | [
"MIT"
] | null | null | null | import os
import urllib.request, urllib.parse
from linebot import (LineBotApi, WebhookHandler)
import logging
logger = logging.getLogger()
logger.setLevel(logging.ERROR)
line_bot_api = LineBotApi(os.environ["LINE_CHANNEL_ACCESS_TOKEN"])
handler = WebhookHandler(os.environ["LINE_CHANNEL_SECRET"])
| 35.773723 | 149 | 0.649459 | import os
import json
import re
import collections
from bs4 import BeautifulSoup
import urllib.request, urllib.parse, urllib.error
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.models import (
MessageEvent, PostbackEvent, TextMessage, TextSendMessage,
TemplateSendMessage, PostbackAction, B... | 261 | 1,752 | 0 | 0 | 0 | 2,300 | 0 | 188 | 270 |
fd55ac6494fee1ff51dde69729bc9482441c4a60 | 1,730 | py | Python | Chapter06/pyImage/inferance.py | PacktPublishing/Artificial-Intelligence-for-IoT-Cookbook | c2f522c2a1dbb78c99e05abc3c0e8706618f4353 | [
"MIT"
] | 19 | 2019-11-06T08:00:03.000Z | 2022-01-01T20:02:40.000Z | Chapter06/pyImage/inferance.py | PacktPublishing/Artificial-Intelligence-for-IoT-Cookbook | c2f522c2a1dbb78c99e05abc3c0e8706618f4353 | [
"MIT"
] | null | null | null | Chapter06/pyImage/inferance.py | PacktPublishing/Artificial-Intelligence-for-IoT-Cookbook | c2f522c2a1dbb78c99e05abc3c0e8706618f4353 | [
"MIT"
] | 9 | 2020-02-17T23:44:16.000Z | 2022-02-03T15:26:46.000Z | import matplotlib.pyplot as plt
import torch
from torchvision import transforms
test_transforms = transforms.Compose([transforms.Resize(224),
transforms.ToTensor(),
])
device = torch.device("cuda" if tor... | 29.827586 | 79 | 0.672254 | import matplotlib.pyplot as plt
import numpy as np
import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
from PIL import Image
from torch.autograd import Variable
test_transforms = transforms.Compose([transforms.Resize(224),
... | 0 | 0 | 0 | 0 | 0 | 719 | 0 | 40 | 181 |
544bde56520e6378977c7c97fdc55c0181fb31be | 442 | py | Python | DiscordEconomy/__init__.py | Nohet/DiscordEconomy | e721a6435bc0ffb40aee99062ff0addfa5d2ae89 | [
"MIT"
] | null | null | null | DiscordEconomy/__init__.py | Nohet/DiscordEconomy | e721a6435bc0ffb40aee99062ff0addfa5d2ae89 | [
"MIT"
] | null | null | null | DiscordEconomy/__init__.py | Nohet/DiscordEconomy | e721a6435bc0ffb40aee99062ff0addfa5d2ae89 | [
"MIT"
] | 2 | 2021-08-31T09:17:05.000Z | 2021-10-05T17:09:35.000Z |
__title__ = "DiscordEconomy"
__summary__ = "Discord.py, other libs, and forks(pycord, nextcord etc.) extension to create economy easily."
__uri__ = "https://github.com/Nohet/DiscordEconomy"
__version__ = "1.3.2"
__author__ = "Nohet"
__email__ = "igorczupryniak503@gmail.com"
__license__ = "MIT License"
__copyri... | 26 | 109 | 0.726244 | from .economy import *
__title__ = "DiscordEconomy"
__summary__ = "Discord.py, other libs, and forks(pycord, nextcord etc.) extension to create economy easily."
__uri__ = "https://github.com/Nohet/DiscordEconomy"
__version__ = "1.3.2"
__author__ = "Nohet"
__email__ = "igorczupryniak503@gmail.com"
__license__ =... | 0 | 0 | 27 | 0 | 0 | 0 | 0 | 1 | 48 |
6a38b2346198a2320edefd7e658bec657962e280 | 1,498 | py | Python | setup.py | pesser/splatting | 1427d7c4204282d117403b35698d489e0324287f | [
"MIT"
] | 3 | 2021-02-23T19:25:35.000Z | 2021-05-31T12:53:53.000Z | setup.py | pesser/splatting | 1427d7c4204282d117403b35698d489e0324287f | [
"MIT"
] | null | null | null | setup.py | pesser/splatting | 1427d7c4204282d117403b35698d489e0324287f | [
"MIT"
] | 1 | 2021-07-29T19:58:11.000Z | 2021-07-29T19:58:11.000Z | import os, re
if "CONDA_PREFIX" in os.environ:
# fix compilation in conda env
if "CUDA_HOME" not in os.environ and os.path.exists(
os.path.join(os.environ["CONDA_PREFIX"], "bin/nvcc")):
print("Detected CONDA_PREFIX containing nvcc but no CUDA_HOME, "
"setting CUDA_HOME=${CONDA_... | 31.87234 | 88 | 0.62016 | import os, re
if "CONDA_PREFIX" in os.environ:
# fix compilation in conda env
if "CUDA_HOME" not in os.environ and os.path.exists(
os.path.join(os.environ["CONDA_PREFIX"], "bin/nvcc")):
print("Detected CONDA_PREFIX containing nvcc but no CUDA_HOME, "
"setting CUDA_HOME=${CONDA_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
84068d8e94014d1e5063c9011f1b24662220bdf0 | 8,015 | py | Python | src/main.py | gregbartell/mf83_solitaire_solver | 3c02eb87c62bc9cde72bc3c5f4641648cc8fff2f | [
"Unlicense"
] | null | null | null | src/main.py | gregbartell/mf83_solitaire_solver | 3c02eb87c62bc9cde72bc3c5f4641648cc8fff2f | [
"Unlicense"
] | null | null | null | src/main.py | gregbartell/mf83_solitaire_solver | 3c02eb87c62bc9cde72bc3c5f4641648cc8fff2f | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
# NOTE: you will need to make sure that you have opencv installed for the confidence argument to work with pyautogui
import pyautogui
import subprocess
import time
from collections import namedtuple
card_image_paths = ["../screenshots/" + card + ".png" for card in
["ace",
"two",
"three",
"four"... | 41.102564 | 146 | 0.617592 | #!/usr/bin/env python3
# NOTE: you will need to make sure that you have opencv installed for the confidence argument to work with pyautogui
import pyautogui
import subprocess
import sys
import time
from collections import Counter, namedtuple
card_image_paths = ["../screenshots/" + card + ".png" for card in
["ace",
"t... | 0 | 0 | 0 | 0 | 0 | 1,473 | 0 | -2 | 113 |
71ad251bc83a53dd9333972759d373f3e8ba9478 | 935 | py | Python | Ch9/delUneededFiles.py | AdamPellot/AutomateTheBoringStuffProjects | d2f2456a04f6eade5cf19f771c7118a79f696eba | [
"MIT"
] | null | null | null | Ch9/delUneededFiles.py | AdamPellot/AutomateTheBoringStuffProjects | d2f2456a04f6eade5cf19f771c7118a79f696eba | [
"MIT"
] | null | null | null | Ch9/delUneededFiles.py | AdamPellot/AutomateTheBoringStuffProjects | d2f2456a04f6eade5cf19f771c7118a79f696eba | [
"MIT"
] | null | null | null | #! python3
# delUneededFiles.py - Walks through a folder tree and searches for
# exceptionally large files or folderssay, ones
# that have a file size of more than 100MB. Print
# these files with their absolute path to the
# screen.
# A... | 37.4 | 75 | 0.649198 | #! python3
# delUneededFiles.py - Walks through a folder tree and searches for
# exceptionally large files or folders—say, ones
# that have a file size of more than 100MB. Print
# these files with their absolute path to the
# screen.
# ... | 3 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 22 |
8d22c7b49d1335d8c7949dcc9045bffe088e92b9 | 5,474 | py | Python | covidprognosis/data/nih_chest_xrays.py | OAfzal/CovidPrognosis | 1b5b4d0d712b8fee94279df02a634b61d6d5a3a0 | [
"MIT"
] | 151 | 2021-01-13T19:50:19.000Z | 2022-03-30T07:16:10.000Z | covidprognosis/data/nih_chest_xrays.py | OAfzal/CovidPrognosis | 1b5b4d0d712b8fee94279df02a634b61d6d5a3a0 | [
"MIT"
] | 14 | 2021-01-29T15:11:07.000Z | 2022-01-28T04:34:03.000Z | covidprognosis/data/nih_chest_xrays.py | OAfzal/CovidPrognosis | 1b5b4d0d712b8fee94279df02a634b61d6d5a3a0 | [
"MIT"
] | 35 | 2021-01-15T21:21:50.000Z | 2022-01-17T06:17:04.000Z | """
Copyright (c) Facebook, Inc. and its affiliates.
This source code is licensed under the MIT license found in the
LICENSE file in the root directory of this source tree.
"""
| 32.583333 | 87 | 0.555718 | """
Copyright (c) Facebook, Inc. and its affiliates.
This source code is licensed under the MIT license found in the
LICENSE file in the root directory of this source tree.
"""
import logging
import os
from typing import Callable, Dict, List, Optional, Union
import numpy as np
import pandas as pd
from .base_dataset ... | 0 | 415 | 0 | 4,696 | 0 | 0 | 0 | 27 | 157 |
5bc9a58f14f30a6659749e932a9202a8abe48337 | 2,920 | py | Python | decode.py | BUTSpeechFIT/vq-aud | 088492e5d02b6e5cb6126b27da869704cd2c9e2c | [
"MIT"
] | null | null | null | decode.py | BUTSpeechFIT/vq-aud | 088492e5d02b6e5cb6126b27da869704cd2c9e2c | [
"MIT"
] | null | null | null | decode.py | BUTSpeechFIT/vq-aud | 088492e5d02b6e5cb6126b27da869704cd2c9e2c | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main()
| 39.459459 | 102 | 0.594178 | import os
import sys
import argparse
import utils
def load_from_dir(nnet_dir, device):
import models
model_classname = open(os.path.join(nnet_dir, 'nnet_kind.txt')).read().strip()
model_kind = models.get_model(model_classname)
model = model_kind.load_from_dir(nnet_dir, map_location=device)
... | 0 | 0 | 0 | 0 | 0 | 2,768 | 0 | -38 | 142 |
3efd05e2b16c6e2342e62db4c04766ab152fb9ba | 608 | py | Python | tests.py | goztrk/django-htk | c56bf112e5d627780d2f4288460eae5cce80fa9e | [
"MIT"
] | 206 | 2015-10-15T07:05:08.000Z | 2021-02-19T11:48:36.000Z | tests.py | goztrk/django-htk | c56bf112e5d627780d2f4288460eae5cce80fa9e | [
"MIT"
] | 8 | 2017-10-16T10:18:31.000Z | 2022-03-09T14:24:27.000Z | tests.py | goztrk/django-htk | c56bf112e5d627780d2f4288460eae5cce80fa9e | [
"MIT"
] | 61 | 2015-10-15T08:12:44.000Z | 2022-03-10T12:25:06.000Z |
####################
# Finally, import tests from subdirectories last to prevent circular import
| 28.952381 | 75 | 0.689145 | from htk.test_scaffold.models import TestScaffold
from htk.test_scaffold.tests import BaseTestCase
from htk.test_scaffold.tests import BaseWebTestCase
from htk.constants import *
class HtkWebViewsTestCase(BaseWebTestCase):
def test_error_pages(self):
view_names = (
'error_403',
'er... | 0 | 0 | 0 | 247 | 0 | 0 | 0 | 107 | 156 |
cc4364834405df74525f7feaf4acc5b014cc0b72 | 23,112 | py | Python | sdk/python/pulumi_azure/appservice/app_service.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/appservice/app_service.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/appservice/app_service.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
from .. import _utilities, _tables
__all__ = ['AppService']
| 53.009174 | 242 | 0.677051 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilitie... | 0 | 12,959 | 0 | 9,726 | 0 | 0 | 0 | 32 | 134 |
a983892c4684a61ec17c01c2092469fb87b0c735 | 5,733 | py | Python | process/sample.py | AlbertiPot/nar | eb081f0e1ee16c2b1eb5e6e2afd41254cd7dce28 | [
"BSD-3-Clause"
] | 2 | 2022-02-08T06:45:41.000Z | 2022-02-09T03:49:54.000Z | process/sample.py | AlbertiPot/nar | eb081f0e1ee16c2b1eb5e6e2afd41254cd7dce28 | [
"BSD-3-Clause"
] | null | null | null | process/sample.py | AlbertiPot/nar | eb081f0e1ee16c2b1eb5e6e2afd41254cd7dce28 | [
"BSD-3-Clause"
] | null | null | null | import torch | 41.543478 | 168 | 0.6869 | import torch
import time
import random
import torch.utils.data
import torch.nn.functional as F
from dataset import NASBenchDataset, SplitSubet
from sampler import ArchSampler
from .train_utils import *
def evaluate_sampled_batch(model, sampler : ArchSampler, tier_list, batch_statics_dict, dataset : NASBenchDataset, ... | 0 | 0 | 0 | 0 | 0 | 5,507 | 0 | 35 | 179 |
25b4895e6bf5d57fb5261b42596c049b8a96134d | 14,537 | py | Python | example/example4/ExampleScript_DL.py | sanjayg0/PLoM | d1a090fc316c296a1e3ec46598886bb9a6206471 | [
"MIT"
] | null | null | null | example/example4/ExampleScript_DL.py | sanjayg0/PLoM | d1a090fc316c296a1e3ec46598886bb9a6206471 | [
"MIT"
] | null | null | null | example/example4/ExampleScript_DL.py | sanjayg0/PLoM | d1a090fc316c296a1e3ec46598886bb9a6206471 | [
"MIT"
] | 1 | 2022-01-27T17:15:24.000Z | 2022-01-27T17:15:24.000Z | #!/usr/bin/env python
# coding: utf-8
# ## Damage and Loss Assessment (12-story RC frame)
#
# This example continues the example2 to conduct damage and loss assessment using the PLoM model and compare the results against the results based on MSA
# ### Run example2
import numpy as np
import pandas as pd
import matpl... | 31.879386 | 426 | 0.675174 | #!/usr/bin/env python
# coding: utf-8
# ## Damage and Loss Assessment (12-story RC frame)
#
# This example continues the example2 to conduct damage and loss assessment using the PLoM model and compare the results against the results based on MSA
# ### Run example2
import numpy as np
import random
import time
from m... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -24 | 110 |
e74ee302a0d4f8e6bef549312e085aefbaf2a733 | 267 | py | Python | juniper_official/Solutions/EX-KPIs-monitoring/diff-percentage.py | vvikramb/healthbot-rules | 72bdad144bebb512e9ac32d607b5924d96225334 | [
"Apache-2.0",
"BSD-3-Clause"
] | 43 | 2018-11-27T00:42:45.000Z | 2022-02-24T01:19:39.000Z | juniper_official/Solutions/EX-KPIs-monitoring/diff-percentage.py | vvikramb/healthbot-rules | 72bdad144bebb512e9ac32d607b5924d96225334 | [
"Apache-2.0",
"BSD-3-Clause"
] | 266 | 2018-10-26T10:19:04.000Z | 2022-03-16T04:38:29.000Z | juniper_official/Solutions/EX-KPIs-monitoring/diff-percentage.py | vvikramb/healthbot-rules | 72bdad144bebb512e9ac32d607b5924d96225334 | [
"Apache-2.0",
"BSD-3-Clause"
] | 99 | 2018-10-25T09:53:55.000Z | 2021-12-07T09:51:59.000Z | from __future__ import division
| 29.666667 | 56 | 0.726592 | from __future__ import division
def diff_percentage(max_count, min_count, **kwargs):
difference_count = int(max_count) - int(min_count)
if difference_count == 0:
return 0
variation = int(difference_count/int(min_count))*100
return variation
| 0 | 0 | 0 | 0 | 0 | 212 | 0 | 0 | 23 |
72308a06717bdd54ae6fb621a24be73315bf28a2 | 6,246 | py | Python | pyinjective/proto/exchange/injective_auction_rpc_pb2_grpc.py | CtheSky/sdk-python | c1b1ae931f4970832466a004eb193027bdc1dea5 | [
"Apache-2.0"
] | 10 | 2021-09-07T08:03:52.000Z | 2022-03-08T08:39:30.000Z | pyinjective/proto/exchange/injective_auction_rpc_pb2_grpc.py | CtheSky/sdk-python | c1b1ae931f4970832466a004eb193027bdc1dea5 | [
"Apache-2.0"
] | 39 | 2021-08-19T20:09:35.000Z | 2022-03-22T19:51:59.000Z | pyinjective/proto/exchange/injective_auction_rpc_pb2_grpc.py | CtheSky/sdk-python | c1b1ae931f4970832466a004eb193027bdc1dea5 | [
"Apache-2.0"
] | 5 | 2021-11-02T16:23:48.000Z | 2022-01-20T22:30:05.000Z | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
# This class is part of an EXPERIMENTAL API.
| 44.935252 | 123 | 0.694685 | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from exchange import injective_auction_rpc_pb2 as exchange_dot_injective__auction__rpc__pb2
class InjectiveAuctionRPCStub(object):
"""InjectiveAuctionRPC d... | 0 | 2,118 | 0 | 2,411 | 0 | 1,324 | 0 | 60 | 136 |
d0bcb99484e5e8980e30e635e29847cb661bcabd | 1,707 | py | Python | daycare.py | nanomosfet/startbootstrap-creative | 7489efd2fa109bd69e7e5c8f248e44f4aff13cc6 | [
"MIT"
] | null | null | null | daycare.py | nanomosfet/startbootstrap-creative | 7489efd2fa109bd69e7e5c8f248e44f4aff13cc6 | [
"MIT"
] | null | null | null | daycare.py | nanomosfet/startbootstrap-creative | 7489efd2fa109bd69e7e5c8f248e44f4aff13cc6 | [
"MIT"
] | null | null | null | # Copyright 2016 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 29.431034 | 79 | 0.673697 | # Copyright 2016 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 0 | 0 | 0 | 500 | 0 | 0 | 0 | 45 | 192 |
f34a8e256c671951d588fb57c741d18eea4ce458 | 14,337 | py | Python | Voicelab/toolkits/Voicelab/F1F2PlotNode.py | KorewaLidesu/VoiceLab | afae638b94fd6bb52d6269122636a6f125651f13 | [
"MIT"
] | null | null | null | Voicelab/toolkits/Voicelab/F1F2PlotNode.py | KorewaLidesu/VoiceLab | afae638b94fd6bb52d6269122636a6f125651f13 | [
"MIT"
] | null | null | null | Voicelab/toolkits/Voicelab/F1F2PlotNode.py | KorewaLidesu/VoiceLab | afae638b94fd6bb52d6269122636a6f125651f13 | [
"MIT"
] | null | null | null | from parselmouth.praat import call
import io
import pandas as pd
import matplotlib.cm as cm
import matplotlib.transforms as transforms
import numpy as np
###################################################################################################
# F1F2PlotNode
# WARIO pipeline node for estimating the vocal ... | 36.57398 | 185 | 0.537281 | from Voicelab.pipeline.Node import Node
import parselmouth
from parselmouth.praat import call
from Voicelab.toolkits.Voicelab.VoicelabNode import VoicelabNode
from Voicelab.toolkits.Voicelab.MeasureFormantNode import MeasureFormantNode
from Voicelab.VoicelabWizard.VoicelabTab import VoicelabTab
from Voicelab.VoicelabWi... | 0 | 0 | 0 | 11,815 | 0 | 0 | 0 | 296 | 399 |
887dabde0da3f8b7a4658b2aec83eec101e1cad8 | 10,305 | py | Python | pypiserver/backend.py | GeekMasherOrg/pypiserver | 562dbbbfc5783aea160ef44f2c824860ab35a248 | [
"MIT"
] | null | null | null | pypiserver/backend.py | GeekMasherOrg/pypiserver | 562dbbbfc5783aea160ef44f2c824860ab35a248 | [
"MIT"
] | null | null | null | pypiserver/backend.py | GeekMasherOrg/pypiserver | 562dbbbfc5783aea160ef44f2c824860ab35a248 | [
"MIT"
] | null | null | null | import hashlib
import logging
import os
import typing as t
from .core import PkgFile
if t.TYPE_CHECKING:
log = logging.getLogger(__name__)
PathLike = t.Union[str, os.PathLike]
def write_file(fh: t.BinaryIO, destination: PathLike) -> None:
"""write a byte stream into a destination file. Writes are chunked... | 31.610429 | 80 | 0.635032 | import abc
import functools
import hashlib
import itertools
import logging
import os
import typing as t
from pathlib import Path
from .cache import CacheManager, ENABLE_CACHING
from .core import PkgFile
from .pkg_helpers import (
normalize_pkgname,
is_listed_path,
guess_pkgname_and_version,
)
if t.TYPE_CH... | 0 | 2,001 | 0 | 5,011 | 1,031 | 236 | 0 | 118 | 631 |
50fedeeb0a8b0e4fab75f1a80ff905da32cd4052 | 1,056 | py | Python | photobooth.py | roryj/photobomb | f75366404b2808be5a0ac2385a6c5a9d4f5c7851 | [
"Apache-2.0"
] | null | null | null | photobooth.py | roryj/photobomb | f75366404b2808be5a0ac2385a6c5a9d4f5c7851 | [
"Apache-2.0"
] | null | null | null | photobooth.py | roryj/photobomb | f75366404b2808be5a0ac2385a6c5a9d4f5c7851 | [
"Apache-2.0"
] | null | null | null |
if __name__ == "__main__":
main()
| 24.55814 | 80 | 0.617424 | import argparse
from pathlib import Path
from lib.photobooth import Photobooth, PhotoPrinter, RandomStaticPhoto
def main():
parser = argparse.ArgumentParser(description="Some spooky ass photobombing")
parser.add_argument(
"--input-files",
nargs="+",
help="""the list of images to inclu... | 0 | 0 | 0 | 0 | 0 | 879 | 0 | 46 | 90 |
505ed46d267856de4a0f5f290547d7e70da255b0 | 2,597 | py | Python | graph_weather/models/layers/processor.py | openclimatefix/graph_weather | e00b75418d62181d213fede2925bb100b4091f57 | [
"MIT"
] | 6 | 2022-02-25T09:27:57.000Z | 2022-03-28T22:26:56.000Z | graph_weather/models/layers/processor.py | openclimatefix/graph_weather | e00b75418d62181d213fede2925bb100b4091f57 | [
"MIT"
] | 11 | 2022-02-25T08:24:17.000Z | 2022-03-30T18:31:16.000Z | graph_weather/models/layers/processor.py | openclimatefix/graph_weather | e00b75418d62181d213fede2925bb100b4091f57 | [
"MIT"
] | null | null | null | """Processor for the latent graph
In the original paper the processor is described as
The Processor iteratively processes the 256-channel latent feature data on the icosahedron grid
using 9 rounds of message-passing GNNs. During each round, a node exchanges information with itself
and its immediate neighbors. There a... | 35.575342 | 100 | 0.659992 | """Processor for the latent graph
In the original paper the processor is described as
The Processor iteratively processes the 256-channel latent feature data on the icosahedron grid
using 9 rounds of message-passing GNNs. During each round, a node exchanges information with itself
and its immediate neighbors. There a... | 0 | 0 | 0 | 2,105 | 0 | 0 | 0 | 40 | 68 |
db99d7b50bb22bb56bc201d9b14ecbfc6b6597a8 | 2,289 | py | Python | scripts/commit_validation/commit_validation/validators/crc_validator.py | whywhywhyw/o3de | 8e09f66799d4c8f188d45861d821e8656a554cb1 | [
"Apache-2.0",
"MIT"
] | 11 | 2021-07-08T09:58:26.000Z | 2022-03-17T17:59:26.000Z | scripts/commit_validation/commit_validation/validators/crc_validator.py | whywhywhyw/o3de | 8e09f66799d4c8f188d45861d821e8656a554cb1 | [
"Apache-2.0",
"MIT"
] | 29 | 2021-07-06T19:33:52.000Z | 2022-03-22T10:27:49.000Z | scripts/commit_validation/commit_validation/validators/crc_validator.py | whywhywhyw/o3de | 8e09f66799d4c8f188d45861d821e8656a554cb1 | [
"Apache-2.0",
"MIT"
] | 4 | 2021-07-06T19:24:43.000Z | 2022-03-31T12:42:27.000Z | #
# Copyright (c) Contributors to the Open 3D Engine Project.
# For complete copyright and license terms please see the LICENSE at the root of this distribution.
#
# SPDX-License-Identifier: Apache-2.0 OR MIT
#
#
from typing import Type
def get_validator() -> Type[CrcValidator]:
"""Returns the validator class for... | 46.714286 | 137 | 0.602446 | #
# Copyright (c) Contributors to the Open 3D Engine Project.
# For complete copyright and license terms please see the LICENSE at the root of this distribution.
#
# SPDX-License-Identifier: Apache-2.0 OR MIT
#
#
import binascii
import fnmatch
import pathlib
import re
from typing import Type, List
from commit_validat... | 0 | 0 | 0 | 1,707 | 0 | 0 | 0 | 87 | 135 |
8dda0fa32095fbf8216f13fbda3a9ed036e7698a | 371 | py | Python | acmicpc/1076/1076.py | love-adela/algorithm | 4ccd02173c96f8369962f1fd4e5166a221690fa2 | [
"MIT"
] | 3 | 2019-03-09T05:19:23.000Z | 2019-04-06T09:26:36.000Z | acmicpc/1076/1076.py | love-adela/algorithm | 4ccd02173c96f8369962f1fd4e5166a221690fa2 | [
"MIT"
] | 1 | 2020-02-23T10:38:04.000Z | 2020-02-23T10:38:04.000Z | acmicpc/1076/1076.py | love-adela/algorithm | 4ccd02173c96f8369962f1fd4e5166a221690fa2 | [
"MIT"
] | 1 | 2019-05-22T13:47:53.000Z | 2019-05-22T13:47:53.000Z | resistor = {'black':0, 'brown':1, 'red':2, 'orange':3, 'yellow':4, 'green': 5, 'blue':6, 'violet':7, 'grey':8, 'white':9}
first = str(resistor[input()])
if first == 0:
first = ''
second = str(resistor[input()])
if second == 0:
second = ''
answer = int(first + second)
third = 10**resistor[input()]
if answer ==... | 21.823529 | 121 | 0.571429 | resistor = {'black':0, 'brown':1, 'red':2, 'orange':3, 'yellow':4, 'green': 5, 'blue':6, 'violet':7, 'grey':8, 'white':9}
first = str(resistor[input()])
if first == 0:
first = ''
second = str(resistor[input()])
if second == 0:
second = ''
answer = int(first + second)
third = 10**resistor[input()]
if answer ==... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f61694dc7d853e928e491991d31a759f86ce1810 | 1,026 | py | Python | Practice(Beginner)/FLOW014.py | 8Bit1Byte/Codechef-Solutions | a79d64042da04e007c5101d3c784a843df01f852 | [
"MIT"
] | 2 | 2021-05-24T11:20:46.000Z | 2021-06-18T12:21:43.000Z | Practice(Beginner)/FLOW014.py | 8Bit1Byte/CodechefSolutions | a79d64042da04e007c5101d3c784a843df01f852 | [
"MIT"
] | null | null | null | Practice(Beginner)/FLOW014.py | 8Bit1Byte/CodechefSolutions | a79d64042da04e007c5101d3c784a843df01f852 | [
"MIT"
] | null | null | null | '''
Problem Name: Grade The Steel
Problem Code: FLOW014
Problem Type: https://www.codechef.com/problems/school
Problem Link: https://www.codechef.com/problems/FLOW014
Solution Link: https://www.codechef.com/viewsolution/46845982
'''
from sys import stdin
if __name__ == '__main__':
t = int(std... | 28.5 | 73 | 0.576998 | '''
Problem Name: Grade The Steel
Problem Code: FLOW014
Problem Type: https://www.codechef.com/problems/school
Problem Link: https://www.codechef.com/problems/FLOW014
Solution Link: https://www.codechef.com/viewsolution/46845982
'''
from sys import stdin, stdout
def main(t):
curInx = t
wh... | 0 | 0 | 0 | 0 | 0 | 648 | 0 | 8 | 23 |
1448808aed17c2d8d7ba348ba21aff1e330f5e23 | 8,067 | py | Python | test.py | 1337235931/tensorflow-bee-yolov3_lastversion | daab74071a992bbb5c1e991b7618d8adef8321c3 | [
"MIT"
] | 1 | 2021-07-04T04:11:01.000Z | 2021-07-04T04:11:01.000Z | test.py | 1337235931/tensorflow-bee-yolov3_lastversion | daab74071a992bbb5c1e991b7618d8adef8321c3 | [
"MIT"
] | null | null | null | test.py | 1337235931/tensorflow-bee-yolov3_lastversion | daab74071a992bbb5c1e991b7618d8adef8321c3 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# coding=utf-8
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import core.utils as utils
return_elements = ["input/input_data:0", "pred_sbbox/concat_2:0", "pred_mbbox/concat_2:0",
"pred_lbbox/concat_2:0"]
pb_file = "./yolov3_bee.pb"
dirpath = './VOC2007/JPEGImag... | 41.369231 | 125 | 0.460022 | #! /usr/bin/env python
# coding=utf-8
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import cv2
import numpy as np
import core.utils as utils
import tensorflow as tf
import re
from PIL import Image
import xml.etree.ElementTree as ET
from xml.etree import ElementTree # 导入ElementTree模块
return_elements = ["input/inpu... | 900 | 0 | 0 | 0 | 0 | 7,148 | 0 | 1 | 215 |
1c4584ac1bc01ab917fbb00db92b230e45196a27 | 5,228 | py | Python | export.py | OleksandrBlack/safecoinnodes | 0021edc8e72e078fcd7bedb465292c96caeeb148 | [
"MIT"
] | null | null | null | export.py | OleksandrBlack/safecoinnodes | 0021edc8e72e078fcd7bedb465292c96caeeb148 | [
"MIT"
] | null | null | null | export.py | OleksandrBlack/safecoinnodes | 0021edc8e72e078fcd7bedb465292c96caeeb148 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# export.py - Exports enumerated data for reachable nodes into a JSON file.
#
# Copyright (c) Addy Yeow Chin Heng <ayeowch@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (th... | 32.271605 | 79 | 0.655318 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# export.py - Exports enumerated data for reachable nodes into a JSON file.
#
# Copyright (c) Addy Yeow Chin Heng <ayeowch@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (th... | 0 | 0 | 0 | 0 | 0 | 1,609 | 0 | 20 | 46 |
792a4f6c77e7eb1074ad85c3e990c257d8cd4247 | 3,305 | py | Python | report.py | omelinb/Employees-report | 74412bfe520a3bb6d771cba05ecf6077a9f9543f | [
"MIT"
] | null | null | null | report.py | omelinb/Employees-report | 74412bfe520a3bb6d771cba05ecf6077a9f9543f | [
"MIT"
] | null | null | null | report.py | omelinb/Employees-report | 74412bfe520a3bb6d771cba05ecf6077a9f9543f | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("datafile", type=str, help="name of file with employees data")
parser.add_argument("-g", "--group_size", type=int, help="count of skills in skills group")
args = parser.parse_args()
... | 34.427083 | 115 | 0.544024 | #!/usr/bin/python3
import os
import csv
import sys
import argparse
from statistics import median
from collections import OrderedDict
class Report:
def __init__(self, datafile, group_size=3):
self.datafile = datafile
self.group_size = group_size
def _calculate_medians(self, data):
... | 0 | 0 | 0 | 2,739 | 0 | 0 | 0 | -12 | 133 |
b6b09565814145d42a96ccc254c7b72460ee6fdd | 4,396 | py | Python | explorer/models/overview.py | AthenaExplorer/xm_s_explorer_v2 | 203f7b5d129552f5b7c977c4247d2060956f8add | [
"MIT"
] | null | null | null | explorer/models/overview.py | AthenaExplorer/xm_s_explorer_v2 | 203f7b5d129552f5b7c977c4247d2060956f8add | [
"MIT"
] | null | null | null | explorer/models/overview.py | AthenaExplorer/xm_s_explorer_v2 | 203f7b5d129552f5b7c977c4247d2060956f8add | [
"MIT"
] | 1 | 2022-03-02T19:20:52.000Z | 2022-03-02T19:20:52.000Z | import mongoengine.fields as fields
| 49.393258 | 83 | 0.710419 | import mongoengine.fields as fields
from base.db.mongo import MongoBaseModel, Decimal2Field
class Overview(MongoBaseModel):
power = Decimal2Field(help_text="有效算力", precision=0, default=0)
raw_power = Decimal2Field(help_text="原值算力", precision=0, default=0)
active_miner_count = fields.LongField(help_text="活... | 585 | 0 | 0 | 4,037 | 0 | 0 | 0 | 34 | 91 |
42ed2a7474ede574416e5a194487875551b3ed30 | 1,035 | py | Python | db.py | a13ph/text-to-notion-bot | 0de684b64535658e514492cee14fb841837f8e88 | [
"MIT"
] | 1 | 2021-02-12T19:02:43.000Z | 2021-02-12T19:02:43.000Z | db.py | a13ph/text-to-notion-bot | 0de684b64535658e514492cee14fb841837f8e88 | [
"MIT"
] | null | null | null | db.py | a13ph/text-to-notion-bot | 0de684b64535658e514492cee14fb841837f8e88 | [
"MIT"
] | null | null | null | import os
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
engine = create_engine(os.environ['DATABASE_URL_NOTION'])
DBSession = sessionmaker(bind=engine)
session = DBSession()
if not engine.dialect.has_ta... | 27.236842 | 73 | 0.730435 | import os
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
engine = create_engine(os.environ['DATABASE_URL_NOTION'])
DBSession = sessionmaker(bind=engine)
sessio... | 0 | 0 | 0 | 218 | 0 | 316 | 0 | 25 | 91 |
cca3c9716c20ebc6cc31ba13d055d6e2b921d401 | 1,574 | py | Python | src/ros_drawsquare/scripts/draw.py | mynameisvinn/catkin_ws | d63eca698b91add14d18ae87d1bc884a36d460f6 | [
"MIT"
] | null | null | null | src/ros_drawsquare/scripts/draw.py | mynameisvinn/catkin_ws | d63eca698b91add14d18ae87d1bc884a36d460f6 | [
"MIT"
] | null | null | null | src/ros_drawsquare/scripts/draw.py | mynameisvinn/catkin_ws | d63eca698b91add14d18ae87d1bc884a36d460f6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
if __name__ == '__main__':
DrawASquare() | 30.862745 | 96 | 0.63723 | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
from math import radians
def DrawASquare():
# initiliaze a ros node called drawawquare
rospy.init_node('drawasquare', anonymous=False)
# What to do you ctrl + c
rospy.on_shutdown(myshutdowncallback)
# create a pub... | 0 | 0 | 0 | 0 | 0 | 1,365 | 0 | 8 | 133 |
6005bb0f9590a149e8faf384eba0e724ce2ad5a3 | 5,714 | py | Python | applications/volnet/export_volnet.py | shamanDevel/fV-SRN | 966926ee678a0db0f1c67661537c4bb7eec0c56f | [
"MIT"
] | 13 | 2021-12-06T05:08:09.000Z | 2022-03-07T15:11:06.000Z | applications/volnet/export_volnet.py | shamanDevel/fV-SRN | 966926ee678a0db0f1c67661537c4bb7eec0c56f | [
"MIT"
] | 1 | 2022-02-07T10:07:44.000Z | 2022-02-24T14:13:50.000Z | applications/volnet/export_volnet.py | shamanDevel/fV-SRN | 966926ee678a0db0f1c67661537c4bb7eec0c56f | [
"MIT"
] | 5 | 2021-12-13T07:02:23.000Z | 2022-01-12T15:46:44.000Z | """
Exports the trained networks to the renderer
"""
import sys
import os
sys.path.insert(0, os.getcwd())
if __name__ == '__main__':
__main()
| 41.405797 | 110 | 0.666608 | """
Exports the trained networks to the renderer
"""
import sys
import os
sys.path.insert(0, os.getcwd())
import torch
import h5py
import argparse
import io
from typing import Union
from collections import OrderedDict
from tests.volnet.network import InputParametrization, OutputParametrization, SceneNetwork
from dif... | 2 | 0 | 0 | 4,198 | 0 | 1,027 | 0 | 70 | 269 |
9fb48fd2f1044fca482e3d8b3a6addb631e34497 | 4,776 | py | Python | scripts/sort_concat_format_seqs.py | liberjul/Benniella_phylogenetics | 532a2d3d6cbc5d480b4c98c5cb3b0bf927f4fdf9 | [
"MIT"
] | null | null | null | scripts/sort_concat_format_seqs.py | liberjul/Benniella_phylogenetics | 532a2d3d6cbc5d480b4c98c5cb3b0bf927f4fdf9 | [
"MIT"
] | null | null | null | scripts/sort_concat_format_seqs.py | liberjul/Benniella_phylogenetics | 532a2d3d6cbc5d480b4c98c5cb3b0bf927f4fdf9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import glob, argparse
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input", type=str, help="input FASTA")
parser.add_argument("-o", "--output", type=str, help="output files path and prefix")
args = parser.parse_args()
fastas = glob.glob(args.input)
header_list = []
seq_dict = ... | 32.489796 | 164 | 0.565536 | #!/usr/bin/env python
import glob, os, argparse
def external_unknown(seq, char="N"):
first_char_pos = len(seq)
last_char_pos = -1
for i in range(len(seq)):
if seq[i] != "-":
first_char_pos = i
break
for i in range(len(seq)):
if seq[len(seq) - i - 1] != "-":
... | 0 | 0 | 0 | 0 | 0 | 692 | 0 | 4 | 46 |
67e8aad0e66283178743149022d323644a36b6e5 | 2,277 | py | Python | tests/sql/test_sql_filters.py | rhideg/python-query-filter-builder | 7b84fb28743990fab353c1776612f492702051d8 | [
"MIT"
] | null | null | null | tests/sql/test_sql_filters.py | rhideg/python-query-filter-builder | 7b84fb28743990fab353c1776612f492702051d8 | [
"MIT"
] | null | null | null | tests/sql/test_sql_filters.py | rhideg/python-query-filter-builder | 7b84fb28743990fab353c1776612f492702051d8 | [
"MIT"
] | null | null | null |
simple_obj = {
"version": 0.1,
"filters": [
{
"col": "col1",
"value": "asd",
},
{
"col": "col2",
"value": "~asd",
},
{
"col": "col3",
"value": "<42>=40"
},
{
"col": "col4"... | 27.107143 | 133 | 0.444444 | from query_filter_builder.sql.sql_filters import convert_to_sql_with_params
simple_obj = {
"version": 0.1,
"filters": [
{
"col": "col1",
"value": "asd",
},
{
"col": "col2",
"value": "~asd",
},
{
"col": "col3",
... | 0 | 0 | 0 | 0 | 0 | 976 | 0 | 54 | 91 |
22ea549d48256651eb4b860338f98a6e12017b36 | 3,565 | py | Python | Windows/main/StonePaperScissorv2.py | balaji303/stonepaperpi | 7bf33c20109c43b5549520bda1d836898ee20991 | [
"MIT"
] | null | null | null | Windows/main/StonePaperScissorv2.py | balaji303/stonepaperpi | 7bf33c20109c43b5549520bda1d836898ee20991 | [
"MIT"
] | null | null | null | Windows/main/StonePaperScissorv2.py | balaji303/stonepaperpi | 7bf33c20109c43b5549520bda1d836898ee20991 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------
# StonePaperPi
# Please review ReadMe for instructions on how to build and run the program
#
# (c) 2022 by Balaji
# MIT License
# paper
# scissor
# stone
# pip install lobe
# pip3 install --extra-index-url https://google-coral.github.io/py-repo... | 27.635659 | 133 | 0.542777 | # ------------------------------------------------------------------------
# StonePaperPi
# Please review ReadMe for instructions on how to build and run the program
#
# (c) 2022 by Balaji
# MIT License
# paper
# scissor
# stone
# pip install lobe
# pip3 install --extra-index-url https://google-coral.github.io/py-repo... | 0 | 0 | 0 | 0 | 0 | 1,664 | 0 | 0 | 67 |
3199fd64e0d3d64f127e0f1ee9ab4451565c3b8e | 2,619 | py | Python | xls/dslx/fuzzer/ast_generator_test.py | ted-xie/xls | ef48ade3403fffc6481ffd779e49aa7082ee268f | [
"Apache-2.0"
] | null | null | null | xls/dslx/fuzzer/ast_generator_test.py | ted-xie/xls | ef48ade3403fffc6481ffd779e49aa7082ee268f | [
"Apache-2.0"
] | null | null | null | xls/dslx/fuzzer/ast_generator_test.py | ted-xie/xls | ef48ade3403fffc6481ffd779e49aa7082ee268f | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 32.7375 | 79 | 0.714395 | # Lint as: python3
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 0 | 0 | 0 | 1,665 | 0 | 0 | 0 | 71 | 157 |
b3e094df207cc0e9ff1ec4a290ccecf33836b54d | 541 | py | Python | les9.py | DyadyaYasha/git_les | f818b6dbfb19a0e8b634dc58e13f0ba6fd6189d8 | [
"Apache-2.0"
] | null | null | null | les9.py | DyadyaYasha/git_les | f818b6dbfb19a0e8b634dc58e13f0ba6fd6189d8 | [
"Apache-2.0"
] | null | null | null | les9.py | DyadyaYasha/git_les | f818b6dbfb19a0e8b634dc58e13f0ba6fd6189d8 | [
"Apache-2.0"
] | null | null | null | #
try: # try
n = int(input())
raise TypeError('- ') #
except ValueError: # except ..
print(' !!')
except ImportError as e: #
print(e)
except (ImportError, TypeError) as a: #
print(a)
# | 28.473684 | 88 | 0.7061 | # Исключения
class CustomError(Exception):
pass
try: # в блоке try пишется код который потенциально приводит к ошибке
n = int(input())
import lalala
raise TypeError('Что-то пошло не так') # выбрасывается исключение
except ValueError: # except можно типизировать т.е. написать какие ... | 448 | 0 | 0 | 17 | 0 | 0 | 0 | -8 | 49 |
176f22bb031e1f2b7f913d2251d4102880bd9648 | 7,580 | py | Python | autogalaxy/mock/fixtures.py | jonathanfrawley/PyAutoGalaxy | 55fb44f22ce5490318378dc31596c887d0d2e29b | [
"MIT"
] | null | null | null | autogalaxy/mock/fixtures.py | jonathanfrawley/PyAutoGalaxy | 55fb44f22ce5490318378dc31596c887d0d2e29b | [
"MIT"
] | null | null | null | autogalaxy/mock/fixtures.py | jonathanfrawley/PyAutoGalaxy | 55fb44f22ce5490318378dc31596c887d0d2e29b | [
"MIT"
] | null | null | null |
#
# MODEL #
#
# PROFILES #
# GALAXY #
# Plane #
# GALAXY DATA #
# GALAXY FIT #
# HYPER GALAXIES #
| 24.37299 | 89 | 0.692876 | import autogalaxy as ag
from autoarray.mock.fixtures import *
from autofit.mock.mock_search import MockSamples, MockSearch
from autogalaxy.plot.mat_wrap.lensing_include import Include1D, Include2D
def make_masked_imaging_7x7():
imaging_7x7 = make_imaging_7x7()
masked_imaging_7x7 = imaging_7x7.appl... | 0 | 0 | 0 | 0 | 0 | 6,031 | 0 | 109 | 1,217 |
84bbaa3bcb2ae4673f501b9874dbb571586c1179 | 3,731 | py | Python | gui/calculator.py | k2ev/PyAppCalc | e846450ddf3a30538d86d6cc0a6af254bb113ec4 | [
"MIT"
] | null | null | null | gui/calculator.py | k2ev/PyAppCalc | e846450ddf3a30538d86d6cc0a6af254bb113ec4 | [
"MIT"
] | null | null | null | gui/calculator.py | k2ev/PyAppCalc | e846450ddf3a30538d86d6cc0a6af254bb113ec4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'calculator.ui'
#
# Created by: PyQt5 UI code generator 5.12.1
#
# WARNING! All changes made in this file will be lost!
| 46.6375 | 75 | 0.711873 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'calculator.ui'
#
# Created by: PyQt5 UI code generator 5.12.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
Main... | 0 | 0 | 0 | 3,463 | 0 | 0 | 0 | 21 | 46 |
a3989f73ffd7742662d3774141602ff3f824fbff | 9,218 | py | Python | tests/pytests/functional/modules/test_archive.py | babs/salt | c536ea716d5308880b244e7980f4b659d86fc104 | [
"Apache-2.0"
] | 2 | 2017-12-01T19:20:49.000Z | 2018-10-03T23:54:12.000Z | tests/pytests/functional/modules/test_archive.py | babs/salt | c536ea716d5308880b244e7980f4b659d86fc104 | [
"Apache-2.0"
] | 9 | 2021-03-31T20:25:25.000Z | 2021-07-04T05:33:46.000Z | tests/pytests/functional/modules/test_archive.py | babs/salt | c536ea716d5308880b244e7980f4b659d86fc104 | [
"Apache-2.0"
] | 1 | 2019-12-17T13:37:16.000Z | 2019-12-17T13:37:16.000Z | """
Tests for the archive state
"""
import pytest
import salt.utils.files
import salt.utils.path
import salt.utils.platform
try:
HAS_ZIPFILE = True
except ImportError:
HAS_ZIPFILE = False
pytestmark = [
pytest.mark.windows_whitelisted,
]
| 30.422442 | 88 | 0.644066 | """
Tests for the archive state
"""
import os
import pathlib
import shutil
import tempfile
import textwrap
import attr
import pytest
import salt.utils.files
import salt.utils.path
import salt.utils.platform
import salt.utils.stringutils
try:
import zipfile # pylint: disable=unused-import
HAS_ZIPFILE = True
... | 35 | 8,366 | 0 | 0 | 0 | 58 | 0 | -48 | 559 |
c5202aca1f24dea8e22296b5b65244b261dc1aa8 | 602 | py | Python | datasources/migrations/0015_datasource_prov_exempt.py | tiferrei/PEDASI | b819aee93de99c00a1aa3eb9d32102b89f72459e | [
"MIT"
] | null | null | null | datasources/migrations/0015_datasource_prov_exempt.py | tiferrei/PEDASI | b819aee93de99c00a1aa3eb9d32102b89f72459e | [
"MIT"
] | 18 | 2019-02-27T12:39:27.000Z | 2021-03-24T16:32:47.000Z | datasources/migrations/0015_datasource_prov_exempt.py | Southampton-RSG/PEDASI-IoT | 25a111ac7cf4b23fee50ad8eac6ea21564954859 | [
"MIT"
] | 1 | 2021-02-16T17:47:15.000Z | 2021-02-16T17:47:15.000Z | # Generated by Django 2.0.8 on 2018-12-07 11:17
| 31.684211 | 252 | 0.679402 | # Generated by Django 2.0.8 on 2018-12-07 11:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('datasources', '0014_access_control_levels'),
]
operations = [
migrations.AddField(
model_name='datasource',
name='pr... | 0 | 0 | 0 | 488 | 0 | 0 | 0 | 19 | 46 |
b8e6373ba1a7ed0ad82fa54546fabfc48fe2f040 | 1,305 | py | Python | PublicWebServicesAPI_AND_servercommandScripts/removeTempCardsJob.py | jopdop30/PaperCutExamples | c2c913877bedf76a876a54957df2891a684d4a6d | [
"MIT"
] | 59 | 2015-10-02T18:42:19.000Z | 2022-01-01T09:37:26.000Z | PublicWebServicesAPI_AND_servercommandScripts/removeTempCardsJob.py | jopdop30/PaperCutExamples | c2c913877bedf76a876a54957df2891a684d4a6d | [
"MIT"
] | 16 | 2016-06-16T06:42:49.000Z | 2021-08-31T22:49:59.000Z | PublicWebServicesAPI_AND_servercommandScripts/removeTempCardsJob.py | jopdop30/PaperCutExamples | c2c913877bedf76a876a54957df2891a684d4a6d | [
"MIT"
] | 20 | 2015-09-09T16:27:33.000Z | 2020-11-12T18:17:36.000Z | #!/usr/bin/env python3
# If a user has staretd using a temp card this job will remove the card from the card field
import xmlrpc.client
host="http://localhost:9191/rpc/api/xmlrpc" # If not localhost then this address will need to be whitelisted in PaperCut
auth="atoken" # Value defined in advanced config p... | 39.545455 | 121 | 0.668199 | #!/usr/bin/env python3
# If a user has staretd using a temp card this job will remove the card from the card field
import xmlrpc.client
import sys
host="http://localhost:9191/rpc/api/xmlrpc" # If not localhost then this address will need to be whitelisted in PaperCut
auth="atoken" # Value defined in advan... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 23 |
5ea593bfc335ba0a2d02fff745998199c998f1a9 | 4,598 | py | Python | jorldy/core/agent/reinforce.py | Kyushik/JORLDY | 6a24a2195e5e87ade157ee53f631af2221f0a188 | [
"Apache-2.0"
] | 300 | 2021-11-03T07:06:34.000Z | 2022-03-24T02:23:56.000Z | jorldy/core/agent/reinforce.py | Kyushik/JORLDY | 6a24a2195e5e87ade157ee53f631af2221f0a188 | [
"Apache-2.0"
] | 37 | 2021-11-04T04:31:07.000Z | 2022-03-30T01:40:49.000Z | jorldy/core/agent/reinforce.py | Kyushik/JORLDY | 6a24a2195e5e87ade157ee53f631af2221f0a188 | [
"Apache-2.0"
] | 45 | 2021-11-03T08:05:56.000Z | 2022-03-24T08:35:05.000Z | import torch
torch.backends.cudnn.benchmark = True
| 32.153846 | 103 | 0.580252 | import torch
torch.backends.cudnn.benchmark = True
from torch.distributions import Normal
import numpy as np
import os
from core.network import Network
from core.optimizer import Optimizer
from core.buffer import RolloutBuffer
from .base import BaseAgent
class REINFORCE(BaseAgent):
"""REINFORCE agent.
Args... | 0 | 551 | 0 | 3,766 | 0 | 0 | 0 | 50 | 178 |
aeefc963986483e3b1a99f4f2cecf30498baae66 | 1,999 | py | Python | scripts/warm_ccd.py | MattBlack85/ekos_scripts | 3023a7c23b041e5de812ccccfa683c5c2a0489bf | [
"MIT"
] | null | null | null | scripts/warm_ccd.py | MattBlack85/ekos_scripts | 3023a7c23b041e5de812ccccfa683c5c2a0489bf | [
"MIT"
] | null | null | null | scripts/warm_ccd.py | MattBlack85/ekos_scripts | 3023a7c23b041e5de812ccccfa683c5c2a0489bf | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
ccd_regex = re.compile('(.*)?CCD.*')
temp = 20
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print('\nExiting the program, bye!')
| 28.971014 | 93 | 0.637819 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
import time
import dbus # NOQA: F801
from dbus.mainloop.glib import DBusGMainLoop
ccd_regex = re.compile('(.*)?CCD.*')
temp = 20
class NoDevicesError(Exception):
pass
def main():
# Create a session bus.
bus = dbus.SessionBus(mainloop=DBusGMainL... | 4 | 0 | 0 | 20 | 0 | 1,612 | 0 | 3 | 127 |
a88754f02bb2d279d4f7c630c3677937832f39b3 | 865 | py | Python | im_tutorials/data/arxiv.py | datasciencecampus/im_tutorials | b234069f30e5a2d631a731d51e27b367c59a2d87 | [
"MIT"
] | null | null | null | im_tutorials/data/arxiv.py | datasciencecampus/im_tutorials | b234069f30e5a2d631a731d51e27b367c59a2d87 | [
"MIT"
] | null | null | null | im_tutorials/data/arxiv.py | datasciencecampus/im_tutorials | b234069f30e5a2d631a731d51e27b367c59a2d87 | [
"MIT"
] | 1 | 2021-04-10T21:27:52.000Z | 2021-04-10T21:27:52.000Z | import smart_open
import pandas as pd
from im_tutorials.utilities import double_eval
def arxiv_papers(year=2017):
'''arxiv_papers
Get arXiv papers csv for a single year and return as dataframe.
Args:
year (`int`): Year of the dataset.
Returns:
arxiv_df (`pd.DataFrame`): Parsed datafr... | 28.833333 | 94 | 0.648555 | import ast
import smart_open
import pandas as pd
from im_tutorials.utilities import eval_cols, double_eval
def arxiv_papers(year=2017):
'''arxiv_papers
Get arXiv papers csv for a single year and return as dataframe.
Args:
year (`int`): Year of the dataset.
Returns:
arxiv_df (`pd.Data... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 |
39dcc2df49303065b07a216b393b463cf4229320 | 1,103 | py | Python | src/huntsman/drp/utils.py | danjampro/huntsman-drp | 9470c03b87991fbe09e194470f28e8b45785c206 | [
"MIT"
] | null | null | null | src/huntsman/drp/utils.py | danjampro/huntsman-drp | 9470c03b87991fbe09e194470f28e8b45785c206 | [
"MIT"
] | null | null | null | src/huntsman/drp/utils.py | danjampro/huntsman-drp | 9470c03b87991fbe09e194470f28e8b45785c206 | [
"MIT"
] | null | null | null | """Generic functions for huntsman-drp."""
from contextlib import suppress
from datetime import datetime
from dateutil.parser import parse as parse_date_dateutil
def parse_date(object):
"""
Parse a date as a `datetime.datetime`.
Args:
object (Object): The object to parse.
Returns:
A `... | 22.510204 | 73 | 0.642792 | """Generic functions for huntsman-drp."""
from contextlib import suppress
from datetime import datetime
from dateutil.parser import parse as parse_date_dateutil
def parse_date(object):
"""
Parse a date as a `datetime.datetime`.
Args:
object (Object): The object to parse.
Returns:
A `... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b5b4a6a8d5c9cf256e50d530d5036e442285efdc | 11,835 | py | Python | src/mmgroup/structures/abstract_group.py | Martin-Seysen/mmgroup | 6acd566f1079e7e27eec76352477fbba39eeb65f | [
"MIT"
] | 14 | 2020-07-10T20:12:05.000Z | 2022-03-10T13:46:59.000Z | src/mmgroup/structures/abstract_group.py | Martin-Seysen/mmgroup | 6acd566f1079e7e27eec76352477fbba39eeb65f | [
"MIT"
] | 1 | 2022-03-09T07:05:04.000Z | 2022-03-18T20:17:11.000Z | src/mmgroup/structures/abstract_group.py | Martin-Seysen/mmgroup | 6acd566f1079e7e27eec76352477fbba39eeb65f | [
"MIT"
] | 1 | 2022-02-07T21:08:00.000Z | 2022-02-07T21:08:00.000Z | from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
"""Modelling an abstract group
Yet to be documented
"""
####################################################################
####################################################################
### Class Abs... | 31.56 | 76 | 0.569497 | from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
"""Modelling an abstract group
Yet to be documented
"""
import sys
import re
import warnings
from copy import deepcopy
from random import sample, randint
from numbers import Integral, Number
from mmgroup.struc... | 0 | 0 | 0 | 10,702 | 0 | 0 | 0 | 69 | 231 |
6eb72eb6fee18f8f571f0475441b17185d9ffa60 | 6,497 | py | Python | symanto_fsb/labels.py | symanto-research/few-shot-learning-label-tuning | bda3af4f9948879bb631541328c753c25e6a6cc0 | [
"Apache-2.0"
] | 6 | 2022-03-08T11:06:11.000Z | 2022-03-31T06:44:45.000Z | symanto_fsb/labels.py | symanto-research/few-shot-learning-label-tuning | bda3af4f9948879bb631541328c753c25e6a6cc0 | [
"Apache-2.0"
] | null | null | null | symanto_fsb/labels.py | symanto-research/few-shot-learning-label-tuning | bda3af4f9948879bb631541328c753c25e6a6cc0 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 The Symanto Research Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 33.147959 | 98 | 0.507927 | # Copyright 2022 The Symanto Research Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 18 | 0 | 0 | 0 | 0 | 5,813 | 0 | 6 | 69 |