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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
400708af3eb122277da5836ea70cf914223ea9b3 | 1,387 | py | Python | src/c3_price/main.py | KlimaDAO/discord-bots | 96fefab99e27abccd0b2d5c9d3812f8ad60e94d6 | [
"MIT"
] | 2 | 2022-01-24T19:58:44.000Z | 2022-03-07T20:16:52.000Z | src/c3_price/main.py | KlimaDAO/discord-bots | 96fefab99e27abccd0b2d5c9d3812f8ad60e94d6 | [
"MIT"
] | 8 | 2021-11-29T19:38:01.000Z | 2022-03-29T19:19:39.000Z | src/c3_price/main.py | KlimaDAO/discord-bots | 96fefab99e27abccd0b2d5c9d3812f8ad60e94d6 | [
"MIT"
] | 12 | 2021-10-06T20:23:08.000Z | 2022-03-31T23:51:03.000Z | import os
from discord.ext import tasks
from ..constants import C3_ADDRESS, FRAX_DECIMALS, \
C3_DECIMALS, FRAX_C3_POOL
from ..contract_info import token_supply, uni_v2_pool_price
from ..utils import get_discord_client, get_eth_web3, \
get_polygon_web3, load_abi, \
... | 26.169811 | 78 | 0.674838 | import os
from discord.ext import tasks
from ..constants import C3_ADDRESS, FRAX_DECIMALS, \
C3_DECIMALS, FRAX_C3_POOL
from ..contract_info import token_supply, uni_v2_pool_price
from ..utils import get_discord_client, get_eth_web3, \
get_polygon_web3, load_abi, \
... | 647 | 0 | 44 |
1d1b2e85d0c1358607cd2dd62f5bab1dffbce3a4 | 191 | py | Python | setup.py | kempei/hx711py | 1256669450f757e46c859c8b21b40e278f31fef3 | [
"Apache-2.0"
] | 1 | 2022-03-24T13:50:48.000Z | 2022-03-24T13:50:48.000Z | setup.py | kempei/hx711py-jetsonnano | 1256669450f757e46c859c8b21b40e278f31fef3 | [
"Apache-2.0"
] | null | null | null | setup.py | kempei/hx711py-jetsonnano | 1256669450f757e46c859c8b21b40e278f31fef3 | [
"Apache-2.0"
] | null | null | null | from setuptools import setup
setup(
name='hx711',
version='0.1',
description='HX711 Python Library for Jetson Nano',
py_modules=['hx711'],
install_requires=['logzero']
)
| 19.1 | 55 | 0.670157 | from setuptools import setup
setup(
name='hx711',
version='0.1',
description='HX711 Python Library for Jetson Nano',
py_modules=['hx711'],
install_requires=['logzero']
)
| 0 | 0 | 0 |
2b8e9a78122675bae02f4d3f6416c2c2d0b63adb | 168 | py | Python | snippets/delete_from_multi_tables.py | hit9/skylark | 5b7a14e401196e025117b095a7c5e68e551e547a | [
"BSD-2-Clause",
"MIT"
] | 114 | 2015-01-06T06:12:30.000Z | 2021-08-25T06:17:05.000Z | snippets/delete_from_multi_tables.py | keng-king/skylark | 5b7a14e401196e025117b095a7c5e68e551e547a | [
"BSD-2-Clause",
"MIT"
] | 10 | 2015-03-23T17:05:13.000Z | 2017-03-24T11:50:18.000Z | snippets/delete_from_multi_tables.py | keng-king/skylark | 5b7a14e401196e025117b095a7c5e68e551e547a | [
"BSD-2-Clause",
"MIT"
] | 59 | 2015-01-21T14:56:23.000Z | 2021-09-05T01:24:37.000Z | from models import User, Post
# delete user from post, user where post.user_id = user.id
query = (Post & User).delete(User) # mysql supports; sqlite3 dosenot support
| 33.6 | 77 | 0.744048 | from models import User, Post
# delete user from post, user where post.user_id = user.id
query = (Post & User).delete(User) # mysql supports; sqlite3 dosenot support
| 0 | 0 | 0 |
b0e41ddb7c1863a92a19e81a28f9239f50f770ff | 868 | py | Python | Semproject/Courseoutline/choices.py | sllash2000/CourseOutline | d44a2a7d49695d988f8ffa6eb5407011029ece25 | [
"MIT"
] | null | null | null | Semproject/Courseoutline/choices.py | sllash2000/CourseOutline | d44a2a7d49695d988f8ffa6eb5407011029ece25 | [
"MIT"
] | null | null | null | Semproject/Courseoutline/choices.py | sllash2000/CourseOutline | d44a2a7d49695d988f8ffa6eb5407011029ece25 | [
"MIT"
] | null | null | null | FacultyNameChoices = [
('FAH','Arts And Humanities'),('FBA','Business Admin'),
('FEd','Education'),('FRS','Religous Studies'),('FOS','Science'),
('FIT','Information Technology'),('FON','Nursing')]
CourseCategory = [
('Core Course','Core Course'),('General Education Course','General Education Course'),
... | 39.454545 | 103 | 0.615207 | FacultyNameChoices = [
('FAH','Arts And Humanities'),('FBA','Business Admin'),
('FEd','Education'),('FRS','Religous Studies'),('FOS','Science'),
('FIT','Information Technology'),('FON','Nursing')]
CourseCategory = [
('Core Course','Core Course'),('General Education Course','General Education Course'),
... | 0 | 0 | 0 |
960ae6c2cee95810d30359e79da59c8a97171c61 | 894 | py | Python | diagnose.py | youngdon95/start_over | 48352c42752f6dd24c82250f57c5ee1434352688 | [
"MIT"
] | null | null | null | diagnose.py | youngdon95/start_over | 48352c42752f6dd24c82250f57c5ee1434352688 | [
"MIT"
] | null | null | null | diagnose.py | youngdon95/start_over | 48352c42752f6dd24c82250f57c5ee1434352688 | [
"MIT"
] | null | null | null | import xlrd
from datetime import date
from datetime import datetime
import random
workbook = xlrd.open_workbook('diagnose.xlsx')
worksheet = workbook.sheet_by_name('Sheet1')
file = open("diagnoseInsert.txt","w")
empNum = 2
for x in range(0, 30884):
year = random.choice(range(1990, 2018))
month = random.... | 26.294118 | 130 | 0.619687 | import xlrd
from datetime import date
from datetime import datetime
import random
workbook = xlrd.open_workbook('diagnose.xlsx')
worksheet = workbook.sheet_by_name('Sheet1')
file = open("diagnoseInsert.txt","w")
empNum = 2
for x in range(0, 30884):
year = random.choice(range(1990, 2018))
month = random.... | 0 | 0 | 0 |
60a92fc32f9436c820e1f78c7327d9e09aea64ef | 881 | py | Python | day9/student_sqlcloud.py | dikshaa1702/ml | c35f279b8fa7544517ca713c2c1e55f08270d4c3 | [
"Apache-2.0"
] | 1 | 2019-06-13T13:52:09.000Z | 2019-06-13T13:52:09.000Z | day9/student_sqlcloud.py | dikshaa1702/ml | c35f279b8fa7544517ca713c2c1e55f08270d4c3 | [
"Apache-2.0"
] | null | null | null | day9/student_sqlcloud.py | dikshaa1702/ml | c35f279b8fa7544517ca713c2c1e55f08270d4c3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu May 16 11:50:16 2019
@author: DiPu
"""
import mysql.connector
con=mysql.connector.connect(user="diksha",password='diksha1702',
host='db4free.net',database='diksha')
c=con.cursor()
c.execute("""CREATE TABLE student(
name text,
age i... | 29.366667 | 65 | 0.624291 | # -*- coding: utf-8 -*-
"""
Created on Thu May 16 11:50:16 2019
@author: DiPu
"""
import mysql.connector
con=mysql.connector.connect(user="diksha",password='diksha1702',
host='db4free.net',database='diksha')
c=con.cursor()
c.execute("""CREATE TABLE student(
name text,
age i... | 0 | 0 | 0 |
2ceb31c77a59667b68c5c12e1c7cd4b434dda44e | 1,494 | py | Python | 16. 3Sum Closest.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | 16. 3Sum Closest.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | 16. 3Sum Closest.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | from typing import List | 36.439024 | 98 | 0.436412 | from typing import List
class Solution:
def threeSumClosest(self, nums: List[int], target: int) -> int:
nums.sort()
length = len(nums)
resSum3 = float("inf")
res = 0
for p1 in range(length):
p3 = length - 1
for p2 in range(p1+1, length):
... | 1,386 | -12 | 97 |
7e88360483551114fdce570e13880bcbf47a3724 | 5,775 | py | Python | Optic/WrapperBl2Seq.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | null | null | null | Optic/WrapperBl2Seq.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | null | null | null | Optic/WrapperBl2Seq.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | 1 | 2020-03-31T22:55:50.000Z | 2020-03-31T22:55:50.000Z | ##########################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by ... | 29.020101 | 110 | 0.571602 | ##########################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by ... | 1,489 | 1,103 | 46 |
13088a8ac517f64c48d773cb8a5a92fb091eb78b | 1,728 | py | Python | src/prefect/cli/__init__.py | jamestwebber/prefect | 410c4ac37d2595ab61007742883687f5e284821d | [
"Apache-2.0"
] | null | null | null | src/prefect/cli/__init__.py | jamestwebber/prefect | 410c4ac37d2595ab61007742883687f5e284821d | [
"Apache-2.0"
] | null | null | null | src/prefect/cli/__init__.py | jamestwebber/prefect | 410c4ac37d2595ab61007742883687f5e284821d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import click
import json
import logging
import os
import requests
import sys
import prefect
@click.group()
def cli():
"""
The Prefect CLI
"""
pass
@cli.command()
def make_user_config():
"""
Generates a user configuration file
"""
user_config_path = prefect.con... | 25.791045 | 80 | 0.696759 | #!/usr/bin/env python
import click
import json
import logging
import os
import requests
import sys
import prefect
@click.group()
def cli():
"""
The Prefect CLI
"""
pass
@cli.command()
def make_user_config():
"""
Generates a user configuration file
"""
user_config_path = prefect.con... | 0 | 0 | 0 |
159bef3318bfb6c684b7d77703c8e85be28688b9 | 411 | py | Python | year2019/python/day1/day1.py | 3schwartz/AdventOfCode | 32f259c4e20c3c4834718411f1053b6a11f71c86 | [
"MIT"
] | null | null | null | year2019/python/day1/day1.py | 3schwartz/AdventOfCode | 32f259c4e20c3c4834718411f1053b6a11f71c86 | [
"MIT"
] | null | null | null | year2019/python/day1/day1.py | 3schwartz/AdventOfCode | 32f259c4e20c3c4834718411f1053b6a11f71c86 | [
"MIT"
] | null | null | null | from day1_func import get_fuel
lines = open('../../data/day1_data.txt').read().strip().split('\n')
fuels = [get_fuel(int(line)) for line in lines]
print(f'Part 1: {sum(fuels)}')
total_sum = 0
for line in lines:
last_value = int(line)
while True:
last_value = get_fuel(last_value)
if last_val... | 19.571429 | 67 | 0.620438 | from day1_func import get_fuel
lines = open('../../data/day1_data.txt').read().strip().split('\n')
fuels = [get_fuel(int(line)) for line in lines]
print(f'Part 1: {sum(fuels)}')
total_sum = 0
for line in lines:
last_value = int(line)
while True:
last_value = get_fuel(last_value)
if last_val... | 0 | 0 | 0 |
f1d40cad2f2fbe51cb27d3a15929184262878d47 | 518 | py | Python | postgis_helpers/__init__.py | aaronfraint/postgis-helpers | 99f4f9ae50c1197fe6d2d0fe42884c06d2c3589c | [
"MIT"
] | 1 | 2021-02-25T21:52:24.000Z | 2021-02-25T21:52:24.000Z | postgis_helpers/__init__.py | aaronfraint/postgis-helpers | 99f4f9ae50c1197fe6d2d0fe42884c06d2c3589c | [
"MIT"
] | null | null | null | postgis_helpers/__init__.py | aaronfraint/postgis-helpers | 99f4f9ae50c1197fe6d2d0fe42884c06d2c3589c | [
"MIT"
] | 1 | 2021-02-26T00:33:29.000Z | 2021-02-26T00:33:29.000Z | from .PgSQL import PostgreSQL
from .config_helpers import make_config_file, read_config_file, configurations
from .geopandas_helpers import spatialize_point_dataframe
from .raw_data import DataSource
from .console import _console
__VERSION__ = "0.2.2"
# _console.print(":globe_showing_americas:", justify="left")
# _c... | 37 | 78 | 0.797297 | from .PgSQL import PostgreSQL
from .config_helpers import make_config_file, read_config_file, configurations
from .geopandas_helpers import spatialize_point_dataframe
from .raw_data import DataSource
from .console import _console
__VERSION__ = "0.2.2"
# _console.print(":globe_showing_americas:", justify="left")
# _c... | 0 | 0 | 0 |
35abc541d0d7ce086f795d6703dfd297577c9cb7 | 424 | py | Python | client/delivery/urls.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | 6 | 2019-11-21T10:09:49.000Z | 2021-06-19T09:52:59.000Z | client/delivery/urls.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | null | null | null | client/delivery/urls.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from .views import CreateDeliveryInfo, DeliveryInfoApi, ListDeliveryInfo
app_name = 'delivery'
urlpatterns = [
path('delivery-information/add', CreateDeliveryInfo.as_view(), name='add_delivery_info'),
path('delivery-information/<int:pk>', DeliveryInfoApi.as_view(), name='delivery... | 35.333333 | 93 | 0.768868 | from django.urls import path
from .views import CreateDeliveryInfo, DeliveryInfoApi, ListDeliveryInfo
app_name = 'delivery'
urlpatterns = [
path('delivery-information/add', CreateDeliveryInfo.as_view(), name='add_delivery_info'),
path('delivery-information/<int:pk>', DeliveryInfoApi.as_view(), name='delivery... | 0 | 0 | 0 |
976b5d264ccc2ded21f52e33be4c2ab378f4c30d | 2,709 | py | Python | python/day11/day11.py | secworks/advent_of_code_2020 | b90e4e1d27c1e4b597a08cac8ff13e63686769f2 | [
"BSD-2-Clause"
] | null | null | null | python/day11/day11.py | secworks/advent_of_code_2020 | b90e4e1d27c1e4b597a08cac8ff13e63686769f2 | [
"BSD-2-Clause"
] | null | null | null | python/day11/day11.py | secworks/advent_of_code_2020 | b90e4e1d27c1e4b597a08cac8ff13e63686769f2 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#=======================================================================
#
# day11.py
# -------
# Solutions to Advent of Code 2020, day 11.
# https://adventofcode.com/2020/day/11
#
#=======================================================================
import sys
#----... | 27.927835 | 72 | 0.298265 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#=======================================================================
#
# day11.py
# -------
# Solutions to Advent of Code 2020, day 11.
# https://adventofcode.com/2020/day/11
#
#=======================================================================
import sys
#----... | 908 | 0 | 132 |
7eb7e67de869f3bb153180f2431ce5d9de6c4ecb | 389 | py | Python | tests/edgestats_test.py | devjack/edgestats | d668cfdc4a6962c0f02a76916fc58d43605d46b2 | [
"MIT"
] | null | null | null | tests/edgestats_test.py | devjack/edgestats | d668cfdc4a6962c0f02a76916fc58d43605d46b2 | [
"MIT"
] | null | null | null | tests/edgestats_test.py | devjack/edgestats | d668cfdc4a6962c0f02a76916fc58d43605d46b2 | [
"MIT"
] | null | null | null | import unittest
import gzip
from edgestats import EdgeStats
if __name__ == '__main__':
unittest.main()
| 27.785714 | 69 | 0.699229 | import unittest
import gzip
from edgestats import EdgeStats
class EdgestatsTest(unittest.TestCase):
def test_can_parse_log_file(self):
with gzip.open('tests/data/simple_unzip_test.gz', 'rb') as f:
file_content = f.read()
expected = b"Simple gzipped string\n"
self.assertEqual(exp... | 214 | 18 | 49 |
73dd5e51df3dee9bc1040211fdb75399402c8941 | 15,096 | py | Python | sdk/servicefabricmanagedclusters/azure-mgmt-servicefabricmanagedclusters/azure/mgmt/servicefabricmanagedclusters/models/_service_fabric_managed_clusters_management_client_enums.py | dubiety/azure-sdk-for-python | 62ffa839f5d753594cf0fe63668f454a9d87a346 | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/servicefabricmanagedclusters/azure-mgmt-servicefabricmanagedclusters/azure/mgmt/servicefabricmanagedclusters/models/_service_fabric_managed_clusters_management_client_enums.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | sdk/servicefabricmanagedclusters/azure-mgmt-servicefabricmanagedclusters/azure/mgmt/servicefabricmanagedclusters/models/_service_fabric_managed_clusters_management_client_enums.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 42.285714 | 102 | 0.72602 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 0 | 95 | 23 |
0f8896b2d56b1d6c742f1e75296d6e1c654c2549 | 10,751 | py | Python | solarforecastarbiter/io/reference_observations/srml.py | wholmgren/solarforecastarbiter-core | e692c7e142f24c0253e4288a6ac760e10ba41dbd | [
"Apache-2.0",
"MIT"
] | null | null | null | solarforecastarbiter/io/reference_observations/srml.py | wholmgren/solarforecastarbiter-core | e692c7e142f24c0253e4288a6ac760e10ba41dbd | [
"Apache-2.0",
"MIT"
] | null | null | null | solarforecastarbiter/io/reference_observations/srml.py | wholmgren/solarforecastarbiter-core | e692c7e142f24c0253e4288a6ac760e10ba41dbd | [
"Apache-2.0",
"MIT"
] | null | null | null | import logging
import json
from urllib import error
from pkg_resources import resource_filename, Requirement
import pandas as pd
from pvlib import iotools
from requests.exceptions import HTTPError
from solarforecastarbiter.datamodel import Observation, SolarPowerPlant
from solarforecastarbiter.io.reference_observat... | 36.692833 | 80 | 0.646172 | import logging
import json
from urllib import error
from pkg_resources import resource_filename, Requirement
import pandas as pd
from pvlib import iotools
from requests.exceptions import HTTPError
from solarforecastarbiter.datamodel import Observation, SolarPowerPlant
from solarforecastarbiter.io.reference_observat... | 0 | 0 | 0 |
23ff69637f82addae0325c842c00f5a222080a6a | 2,369 | py | Python | tests/test_estimators.py | astrojose9/fulmar | 62a79fb9b7ab01e5b7b3acadaca8e4f0db0e0e2f | [
"MIT"
] | null | null | null | tests/test_estimators.py | astrojose9/fulmar | 62a79fb9b7ab01e5b7b3acadaca8e4f0db0e0e2f | [
"MIT"
] | null | null | null | tests/test_estimators.py | astrojose9/fulmar | 62a79fb9b7ab01e5b7b3acadaca8e4f0db0e0e2f | [
"MIT"
] | null | null | null | import os
import sys
# sys.path.insert(0, os.path.abspath('/home/jrodrigues/Documents/PhD/fulmar'))
from fulmar.estimators import (
estimate_planet_mass,
estimate_semi_amplitude
)
from fulmar.utils import (
FulmarWarning
)
import astropy.units as u
import numpy as np
import numpy.testing as npt
from astro... | 36.446154 | 82 | 0.699451 | import os
import sys
# sys.path.insert(0, os.path.abspath('/home/jrodrigues/Documents/PhD/fulmar'))
from fulmar.estimators import (
estimate_planet_mass,
estimate_semi_amplitude
)
from fulmar.utils import (
FulmarWarning
)
import astropy.units as u
import numpy as np
import numpy.testing as npt
from astro... | 0 | 0 | 0 |
745adf17e78917104f0f56ad44e17b5a7a1b9a7e | 25,642 | py | Python | rwb/images/__init__.py | boakley/robotframework-workbench | 92f15845d6fa4baedd4f3c4346fb8ff5cf9149a6 | [
"Apache-2.0"
] | 11 | 2015-03-09T01:53:21.000Z | 2021-03-29T08:33:05.000Z | rwb/images/__init__.py | boakley/robotframework-workbench | 92f15845d6fa4baedd4f3c4346fb8ff5cf9149a6 | [
"Apache-2.0"
] | 1 | 2016-08-24T06:20:11.000Z | 2016-08-24T06:20:11.000Z | rwb/images/__init__.py | boakley/robotframework-workbench | 92f15845d6fa4baedd4f3c4346fb8ff5cf9149a6 | [
"Apache-2.0"
] | 5 | 2016-03-03T15:27:09.000Z | 2019-03-26T13:05:32.000Z | '''
This data was automatically generated by script img2data.py.
These images are part of the FAMFAMFAM silk icons set which is
provided under a creative commons license. For more information see
http://www.famfamfam.com/lab/icons/silk/
'''
data = {
'cancel': '''
R0lGODlhEAAQAPcAAAAAAAAAMwAAZgA... | 61.198091 | 73 | 0.77338 | '''
This data was automatically generated by script img2data.py.
These images are part of the FAMFAMFAM silk icons set which is
provided under a creative commons license. For more information see
http://www.famfamfam.com/lab/icons/silk/
'''
data = {
'cancel': '''
R0lGODlhEAAQAPcAAAAAAAAAMwAAZgA... | 0 | 0 | 0 |
28a6cd67583aaea23b8d40e9061ec596cdb2ce3c | 34,063 | py | Python | chapisha/create/create.py | whythawk/chapisha | ddaa028a48d10ff5396e18d1c0ae01fd56c9f465 | [
"BSD-3-Clause"
] | 2 | 2021-05-29T12:56:05.000Z | 2021-10-31T04:56:32.000Z | chapisha/create/create.py | whythawk/chapisha | ddaa028a48d10ff5396e18d1c0ae01fd56c9f465 | [
"BSD-3-Clause"
] | 1 | 2021-01-29T13:12:28.000Z | 2021-01-30T16:14:04.000Z | chapisha/create/create.py | whythawk/chapisha | ddaa028a48d10ff5396e18d1c0ae01fd56c9f465 | [
"BSD-3-Clause"
] | null | null | null | """
.. module:: create
:synopsis: Import a Word `docx` document, define its metadata, cover and rights, and publish it as an EPUB3.
.. moduleauthor:: Gavin Chait <github.com/turukawa>
CreateWork
==========
Publish a standards compliant EPUB3 creative work from a source Microsoft Word `docx` document, and define it... | 46.661644 | 551 | 0.648622 | """
.. module:: create
:synopsis: Import a Word `docx` document, define its metadata, cover and rights, and publish it as an EPUB3.
.. moduleauthor:: Gavin Chait <github.com/turukawa>
CreateWork
==========
Publish a standards compliant EPUB3 creative work from a source Microsoft Word `docx` document, and define it... | 0 | 0 | 0 |
f014873bcb18c5403755ad32e29f145b9b136a1d | 3,167 | py | Python | test/test_tarrecords.py | NVlabs/dlinputs | fbce290b7b8c5f3b00e9197c55a13b0a5a0f7953 | [
"BSD-3-Clause"
] | 38 | 2017-10-18T05:44:25.000Z | 2021-06-20T02:14:13.000Z | test/test_tarrecords.py | NVlabs/dlinputs | fbce290b7b8c5f3b00e9197c55a13b0a5a0f7953 | [
"BSD-3-Clause"
] | 1 | 2017-12-07T20:14:18.000Z | 2018-05-07T01:00:34.000Z | test/test_tarrecords.py | NVlabs/dlinputs | fbce290b7b8c5f3b00e9197c55a13b0a5a0f7953 | [
"BSD-3-Clause"
] | 10 | 2018-01-07T15:19:17.000Z | 2020-12-01T20:42:37.000Z | from __future__ import unicode_literals
import glob
import pdb
from builtins import range
from imp import reload
from io import open
import numpy as np
from dlinputs import tarrecords
reload(tarrecords)
# get_ipython().system(u'tar -ztvf testdata/imagenet-000000.tgz | sed 7q')
# get_ipython().system(u'tar xvf tes... | 31.989899 | 79 | 0.641932 | from __future__ import unicode_literals
import glob
import pdb
from builtins import range
from imp import reload
from io import open
import numpy as np
from dlinputs import tarrecords
reload(tarrecords)
def test_tardata():
stream = open("testdata/imagenet-000000.tgz", mode='rb')
data = tarrecords.tardata(s... | 2,631 | 0 | 138 |
6a64971723ab828855f7055bd04df9ded8f9d292 | 54,054 | py | Python | tests/unit/fake_data_root/vault/var/lib/juju/agents/unit-vault-hacluster-0/charm/hooks/utils.py | KellenRenshaw/hotsos | e3fc51ab7f8af606a5846a3486a7fda23d761583 | [
"Apache-2.0"
] | 17 | 2016-07-07T23:39:17.000Z | 2020-05-06T14:03:54.000Z | tests/unit/fake_data_root/vault/var/lib/juju/agents/unit-vault-hacluster-0/charm/hooks/utils.py | KellenRenshaw/hotsos | e3fc51ab7f8af606a5846a3486a7fda23d761583 | [
"Apache-2.0"
] | 111 | 2021-10-01T18:18:17.000Z | 2022-03-29T12:23:20.000Z | tests/unit/fake_data_root/vault/var/lib/juju/agents/unit-vault-hacluster-0/charm/hooks/utils.py | KellenRenshaw/hotsos | e3fc51ab7f8af606a5846a3486a7fda23d761583 | [
"Apache-2.0"
] | 20 | 2016-11-03T04:04:09.000Z | 2021-01-04T20:40:43.000Z | #!/usr/bin/python
#
# Copyright 2016 Canonical Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 33.161963 | 79 | 0.643024 | #!/usr/bin/python
#
# Copyright 2016 Canonical Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 12,041 | 80 | 724 |
dc846139a64da96893d81c6eddfca55ea20f7f1e | 70,433 | py | Python | autots/evaluator/auto_model.py | nsankar/AutoTS | b4167e1506e1ccb41a85dad1be481a646d808583 | [
"MIT"
] | null | null | null | autots/evaluator/auto_model.py | nsankar/AutoTS | b4167e1506e1ccb41a85dad1be481a646d808583 | [
"MIT"
] | null | null | null | autots/evaluator/auto_model.py | nsankar/AutoTS | b4167e1506e1ccb41a85dad1be481a646d808583 | [
"MIT"
] | null | null | null | """Mid-level helper functions for AutoTS."""
import numpy as np
import pandas as pd
import datetime
import json
from hashlib import md5
from autots.evaluator.metrics import PredictionEval
from autots.tools.transform import RandomTransform
def seasonal_int(include_one: bool = False):
"""Generate a random integer o... | 37.907966 | 181 | 0.582397 | """Mid-level helper functions for AutoTS."""
import numpy as np
import pandas as pd
import datetime
import json
from hashlib import md5
from autots.evaluator.metrics import PredictionEval
from autots.tools.transform import RandomTransform
def seasonal_int(include_one: bool = False):
"""Generate a random integer o... | 3,116 | 0 | 104 |
b6fd8e198c7dfa420a6d4c45a470a2d144bb9ee4 | 1,025 | py | Python | aoc2020/day12/day12_part2.py | GetPastTheMonkey/advent-of-code | db80be6d87baba4d5315cc69276905c55762da86 | [
"MIT"
] | 1 | 2019-09-15T16:37:24.000Z | 2019-09-15T16:37:24.000Z | aoc2020/day12/day12_part2.py | GetPastTheMonkey/advent-of-code | db80be6d87baba4d5315cc69276905c55762da86 | [
"MIT"
] | null | null | null | aoc2020/day12/day12_part2.py | GetPastTheMonkey/advent-of-code | db80be6d87baba4d5315cc69276905c55762da86 | [
"MIT"
] | null | null | null | from utils import get_input_lines
pos_x = 0
pos_y = 0
waypoint_x = 10
waypoint_y = 1
for line in get_input_lines(__file__):
action = line[0]
n = int(line[1:])
# Handle actions
if action == "N":
waypoint_y += n
elif action == "S":
waypoint_y -= n
elif action == "E":
wa... | 25 | 68 | 0.537561 | from utils import get_input_lines
pos_x = 0
pos_y = 0
waypoint_x = 10
waypoint_y = 1
for line in get_input_lines(__file__):
action = line[0]
n = int(line[1:])
# Handle actions
if action == "N":
waypoint_y += n
elif action == "S":
waypoint_y -= n
elif action == "E":
wa... | 0 | 0 | 0 |
2326b0fce7d21d579893e74d3e91c5354e98cf2f | 282 | py | Python | src/year2019/day13a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 10 | 2017-12-11T17:54:52.000Z | 2021-12-09T20:16:30.000Z | src/year2019/day13a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 260 | 2015-12-09T11:03:03.000Z | 2021-12-12T14:32:23.000Z | src/year2019/day13a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | null | null | null | """2019 - Day 13 Part 1: Care Package."""
from src.year2019.intcode import Computer
def solve(task: str) -> int:
"""Count the number of blocks."""
computer = Computer()
computer.load_program(task)
computer.execute()
return list(computer.stdout)[2::3].count(2)
| 25.636364 | 47 | 0.666667 | """2019 - Day 13 Part 1: Care Package."""
from src.year2019.intcode import Computer
def solve(task: str) -> int:
"""Count the number of blocks."""
computer = Computer()
computer.load_program(task)
computer.execute()
return list(computer.stdout)[2::3].count(2)
| 0 | 0 | 0 |
6af6580ccb03ce18151efe09dbeb559263c69624 | 1,816 | py | Python | examples/fontforge-old/demoAddToMenu.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 41 | 2015-05-21T21:12:26.000Z | 2022-02-17T17:23:14.000Z | examples/fontforge-old/demoAddToMenu.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 63 | 2015-05-15T10:25:55.000Z | 2021-02-23T04:51:17.000Z | examples/fontforge-old/demoAddToMenu.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 12 | 2015-06-12T11:52:08.000Z | 2020-09-23T10:40:59.000Z | #!/usr/bin/env python
'FontForge: Demo script to add menu items to FF tools menu'
__url__ = 'http://github.com/silnrsi/pysilfont'
__copyright__ = 'Copyright (c) 2014 SIL International (http://www.sil.org)'
__license__ = 'Released under the MIT License (http://opensource.org/licenses/MIT)'
__author__ = 'David Raymond'
... | 46.564103 | 102 | 0.785793 | #!/usr/bin/env python
'FontForge: Demo script to add menu items to FF tools menu'
__url__ = 'http://github.com/silnrsi/pysilfont'
__copyright__ = 'Copyright (c) 2014 SIL International (http://www.sil.org)'
__license__ = 'Released under the MIT License (http://opensource.org/licenses/MIT)'
__author__ = 'David Raymond'
... | 94 | 0 | 23 |
46615d419dda76960016bd1ad4896644e6b356d7 | 29,475 | py | Python | tensor2struct/utils/tree_kernels.py | chenyangh/tensor2struct-public | d3257cba6d76d3c658a58a78f687d986bdc755cf | [
"MIT"
] | 69 | 2021-04-14T06:35:07.000Z | 2022-03-31T18:35:05.000Z | tensor2struct/utils/tree_kernels.py | chenyangh/tensor2struct-public | d3257cba6d76d3c658a58a78f687d986bdc755cf | [
"MIT"
] | 11 | 2021-04-16T11:16:04.000Z | 2022-03-22T21:21:29.000Z | tensor2struct/utils/tree_kernels.py | chenyangh/tensor2struct-public | d3257cba6d76d3c658a58a78f687d986bdc755cf | [
"MIT"
] | 18 | 2021-04-14T07:19:56.000Z | 2022-03-23T19:26:18.000Z | import math
from copy import deepcopy
from tensor2struct.utils import tree
# Common routines for kernel functions
####
# An extremely simple cache
| 41.927454 | 145 | 0.397116 | import math
from copy import deepcopy
from tensor2struct.utils import tree
class Kernel:
# Common routines for kernel functions
def kernel(self, a, b):
# compute the tree kernel on the trees a and b
if not isinstance(a, tree.Tree):
print("ERROR: first parameter has to be a Tree Ob... | 28,093 | 14 | 1,202 |
332475d0ce0bb3d099c2199a8d805fa2ce7c35ea | 3,005 | py | Python | backend/src/board/views/api/v1/telegram.py | baealex/Medium-Clone-in-Django | 1f388ca9d75c05ce3100dfb7ad58ef751c964d19 | [
"MIT"
] | null | null | null | backend/src/board/views/api/v1/telegram.py | baealex/Medium-Clone-in-Django | 1f388ca9d75c05ce3100dfb7ad58ef751c964d19 | [
"MIT"
] | null | null | null | backend/src/board/views/api/v1/telegram.py | baealex/Medium-Clone-in-Django | 1f388ca9d75c05ce3100dfb7ad58ef751c964d19 | [
"MIT"
] | null | null | null | import json
from django.conf import settings
from django.http import Http404
from django.utils import timezone
from PIL import Image, ImageFilter
from board.models import TelegramSync
from board.modules.response import StatusDone, StatusError
from modules.subtask import sub_task_manager
from modules.telegram import T... | 41.164384 | 125 | 0.560067 | import json
from django.conf import settings
from django.http import Http404
from django.utils import timezone
from PIL import Image, ImageFilter
from board.models import TelegramSync
from board.modules.response import StatusDone, StatusError
from modules.subtask import sub_task_manager
from modules.telegram import T... | 2,745 | 0 | 23 |
162b83394afde2c91cf06578b6a90603be379765 | 469 | py | Python | Question_nlp/answers/onehot.py | skn047/DeepLearningMugenKnock | 73d2b903816b380d56020c8336041883bc0d131c | [
"MIT"
] | 10 | 2021-12-17T06:07:25.000Z | 2022-03-25T13:50:05.000Z | Question_nlp/answers/onehot.py | skn047/DeepLearningMugenKnock | 73d2b903816b380d56020c8336041883bc0d131c | [
"MIT"
] | null | null | null | Question_nlp/answers/onehot.py | skn047/DeepLearningMugenKnock | 73d2b903816b380d56020c8336041883bc0d131c | [
"MIT"
] | 2 | 2022-03-15T02:42:09.000Z | 2022-03-30T23:19:55.000Z | _chars = "あいうおえかきくけこさしすせそたちつてとなにぬねのはひふへほまみむめもやゆよらりるれろわをんがぎぐげござじずぜぞだぢづでどばびぶべぼぱぴぷぺぽぁぃぅぇぉゃゅょっー１２３４５６７８９０！？、。"
chars = [c for c in _chars]
print(data_load())
| 23.45 | 106 | 0.556503 | _chars = "あいうおえかきくけこさしすせそたちつてとなにぬねのはひふへほまみむめもやゆよらりるれろわをんがぎぐげござじずぜぞだぢづでどばびぶべぼぱぴぷぺぽぁぃぅぇぉゃゅょっー１２３４５６７８９０！？、。"
chars = [c for c in _chars]
def data_load():
fname = 'sandwitchman.txt'
xs = []
with open(fname, 'r') as f:
for l in f.readlines():
l = l.strip()
for c in l:
... | 291 | 0 | 23 |
12774b82ae587f55749e4d546d6743b03cdf3463 | 590 | py | Python | problems/593.Valid_Square/li.py | subramp-prep/leetcode | d125201d9021ab9b1eea5e5393c2db4edd84e740 | [
"Unlicense"
] | null | null | null | problems/593.Valid_Square/li.py | subramp-prep/leetcode | d125201d9021ab9b1eea5e5393c2db4edd84e740 | [
"Unlicense"
] | null | null | null | problems/593.Valid_Square/li.py | subramp-prep/leetcode | d125201d9021ab9b1eea5e5393c2db4edd84e740 | [
"Unlicense"
] | null | null | null | # coding=utf-8
# Author: Jianghan LI
# Question: 593.Valid_Square
# Date: 2017-05-22
| 26.818182 | 137 | 0.477966 | # coding=utf-8
# Author: Jianghan LI
# Question: 593.Valid_Square
# Date: 2017-05-22
class Solution(object):
def validSquare(self, p1, p2, p3, p4):
"""
:type p1: List[int]
:type p2: List[int]
:type p3: List[int]
:type p4: List[int]
:rtype: bool
"""
... | 138 | 343 | 23 |
f1f4c0e148288296136b5caf6748c31645cc02a9 | 769 | py | Python | Tuples and Sets - Exercise/07. Battle of Names.py | B3WD/python_advanced | 477b2eac41f1ec5a172d612afda1096a9d7fb2f5 | [
"MIT"
] | 1 | 2020-10-28T07:52:17.000Z | 2020-10-28T07:52:17.000Z | Tuples and Sets - Exercise/07. Battle of Names.py | B3WD/python_advanced_softuni | 477b2eac41f1ec5a172d612afda1096a9d7fb2f5 | [
"MIT"
] | null | null | null | Tuples and Sets - Exercise/07. Battle of Names.py | B3WD/python_advanced_softuni | 477b2eac41f1ec5a172d612afda1096a9d7fb2f5 | [
"MIT"
] | null | null | null |
lines_count = int(input())
lines = [input() for _ in range(lines_count)]
solve(lines) | 27.464286 | 62 | 0.587776 | def solve(liens):
results_odd = set()
results_even = set()
for i, name in enumerate(lines):
ascii_sum = 0
for char in name:
ascii_sum += ord(char)
result = int(ascii_sum / (i + 1))
if result % 2 != 0:
results_odd.add(result)
else:
r... | 658 | 0 | 22 |
bc177fd76c0ff5e5ec9943fd6750ff2dfe5cb200 | 3,707 | py | Python | sdk/python/touca/_printer.py | trytouca/trytouca | eae38a96407d1ecac543c5a5fb05cbbe632ddfca | [
"Apache-2.0"
] | 6 | 2022-03-19T02:57:11.000Z | 2022-03-31T16:34:34.000Z | sdk/python/touca/_printer.py | trytouca/trytouca | eae38a96407d1ecac543c5a5fb05cbbe632ddfca | [
"Apache-2.0"
] | null | null | null | sdk/python/touca/_printer.py | trytouca/trytouca | eae38a96407d1ecac543c5a5fb05cbbe632ddfca | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Touca, Inc. Subject to Apache-2.0 License.
import math
from pathlib import Path
from colorama import Style, Fore, Back, init
init()
| 34.971698 | 88 | 0.534394 | # Copyright 2021 Touca, Inc. Subject to Apache-2.0 License.
import math
from pathlib import Path
from colorama import Style, Fore, Back, init
init()
class Printer:
def print_warning(fmt: str, *args, **kwargs):
print(f"{Fore.YELLOW}{fmt.format(*args, **kwargs)}{Fore.RESET}")
def print_error(fmt: str... | 3,299 | -7 | 265 |
55dadc90c2f9fdbe258867ab069d2c73b2196055 | 394 | py | Python | siphon/__init__.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | 1 | 2019-05-31T14:02:08.000Z | 2019-05-31T14:02:08.000Z | siphon/__init__.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | 147 | 2021-03-06T01:01:13.000Z | 2022-03-30T22:18:18.000Z | siphon/__init__.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2013-2015 Siphon Contributors.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Tools for accessing atmospheric and oceanic science data on remote servers."""
# Version import needs to come first so everyone else can pull on import
from ._version imp... | 39.4 | 81 | 0.786802 | # Copyright (c) 2013-2015 Siphon Contributors.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Tools for accessing atmospheric and oceanic science data on remote servers."""
# Version import needs to come first so everyone else can pull on import
from ._version imp... | 0 | 0 | 0 |
d33d5c69746ae0b6fef212b68e6a477d56434fb5 | 88 | py | Python | Python/B2025.py | Epoch1017/LintCode-Shared-Solutions | d1559ef96917c4255e1ce2cf25ef17edec596ac3 | [
"CC0-1.0"
] | null | null | null | Python/B2025.py | Epoch1017/LintCode-Shared-Solutions | d1559ef96917c4255e1ce2cf25ef17edec596ac3 | [
"CC0-1.0"
] | null | null | null | Python/B2025.py | Epoch1017/LintCode-Shared-Solutions | d1559ef96917c4255e1ce2cf25ef17edec596ac3 | [
"CC0-1.0"
] | null | null | null | # B2025-输出字符菱形
print(" *")
print(" ***")
print("*****")
print(" ***")
print(" *") | 14.666667 | 15 | 0.409091 | # B2025-输出字符菱形
print(" *")
print(" ***")
print("*****")
print(" ***")
print(" *") | 0 | 0 | 0 |
5fe8ca8ff1e4826dd6cfd6ad23878adf5707eed5 | 3,733 | py | Python | brilhack/basic_blocks.py | yati-sagade/brilhack | 700e95dc5f5ba7f156ac405d0339dd03bd0de021 | [
"MIT"
] | null | null | null | brilhack/basic_blocks.py | yati-sagade/brilhack | 700e95dc5f5ba7f156ac405d0339dd03bd0de021 | [
"MIT"
] | null | null | null | brilhack/basic_blocks.py | yati-sagade/brilhack | 700e95dc5f5ba7f156ac405d0339dd03bd0de021 | [
"MIT"
] | null | null | null | import copy
from .util import is_terminator, is_label, mklabel
| 31.905983 | 86 | 0.554246 | import copy
from .util import is_terminator, is_label, mklabel
def _make_blocks(instrs):
blocks = []
label_index = {}
curr_block = []
for instr in instrs:
if not is_label(instr):
curr_block.append(instr)
if is_label(instr) or is_terminator(instr):
if curr_blo... | 2,760 | 760 | 145 |
73ac7853a328732454c3edf704f71354323b832f | 1,215 | py | Python | tests/pages/rollups.py | uk-gov-mirror/alphagov.notifications-functional-tests | 899032ff637161c1ab8d058555cb0326ec04b1be | [
"MIT"
] | null | null | null | tests/pages/rollups.py | uk-gov-mirror/alphagov.notifications-functional-tests | 899032ff637161c1ab8d058555cb0326ec04b1be | [
"MIT"
] | null | null | null | tests/pages/rollups.py | uk-gov-mirror/alphagov.notifications-functional-tests | 899032ff637161c1ab8d058555cb0326ec04b1be | [
"MIT"
] | null | null | null | from config import config
from tests.pages import SignInPage
from tests.test_utils import do_verify, do_email_auth_verify
| 34.714286 | 102 | 0.723457 | from config import config
from tests.pages import SignInPage
from tests.test_utils import do_verify, do_email_auth_verify
def sign_in(driver, seeded=False):
_sign_in(driver, 'seeded' if seeded else 'normal')
do_verify(driver)
def sign_in_email_auth(driver):
_sign_in(driver, 'email_auth')
assert dri... | 996 | 0 | 92 |
6adbb154ad2791f017881d82ab4f304608aa3b72 | 21,792 | py | Python | rave/filesystem.py | rave-engine/rave | 0eeb956363f4d7eda92350775d7d386550361273 | [
"BSD-2-Clause"
] | 5 | 2015-03-18T01:19:56.000Z | 2020-10-23T12:44:47.000Z | rave/filesystem.py | rave-engine/rave | 0eeb956363f4d7eda92350775d7d386550361273 | [
"BSD-2-Clause"
] | null | null | null | rave/filesystem.py | rave-engine/rave | 0eeb956363f4d7eda92350775d7d386550361273 | [
"BSD-2-Clause"
] | null | null | null | # rave's virtual file system.
import os
import io
import re
import threading
import collections
import rave.common
import rave.log
_log = rave.log.get(__name__)
# Canonical path separator.
PATH_SEPARATOR = '/'
# Root.
ROOT = '/'
# Unnormalized path pattern.
BAD_PATH_PATTERN = re.compile(r'(?:{0}{{2,}}|(?:{0}|^)\.+(... | 36.686869 | 149 | 0.62321 | # rave's virtual file system.
import os
import io
import re
import threading
import collections
import rave.common
import rave.log
_log = rave.log.get(__name__)
# Canonical path separator.
PATH_SEPARATOR = '/'
# Root.
ROOT = '/'
# Unnormalized path pattern.
BAD_PATH_PATTERN = re.compile(r'(?:{0}{{2,}}|(?:{0}|^)\.+(... | 2,375 | 16,110 | 880 |
dbf0337be9f2b428ff1ae5f70ee820bc2aaa584f | 802 | py | Python | geogebra_applet/views.py | Stasianna/geogebra-project | 33ddf30ec8b001f86fb35d336b8d53bcdf69231b | [
"MIT"
] | null | null | null | geogebra_applet/views.py | Stasianna/geogebra-project | 33ddf30ec8b001f86fb35d336b8d53bcdf69231b | [
"MIT"
] | null | null | null | geogebra_applet/views.py | Stasianna/geogebra-project | 33ddf30ec8b001f86fb35d336b8d53bcdf69231b | [
"MIT"
] | null | null | null | #from django.http import HttpResponse
#from django.http import response_redirect
from django.shortcuts import render_to_response
from django.views.generic import DetailView, CreateView, TemplateView
from geogebra_applet.models import GeogebraApplet
| 32.08 | 70 | 0.77182 | #from django.http import HttpResponse
#from django.http import response_redirect
from django.shortcuts import render_to_response
from django.views.generic import DetailView, CreateView, TemplateView
from geogebra_applet.models import GeogebraApplet
class GeogebraAppletDetailView(DetailView):
model = GeogebraAppl... | 341 | 140 | 69 |
637cd14234add4d98a4167907d1629a8dc3593e3 | 6,036 | py | Python | test/test_diff_tar.py | gmertes/conda-mirror | 34b206e19d8c858676ce2b707da15165578e6f79 | [
"BSD-3-Clause"
] | 6 | 2020-10-09T15:55:57.000Z | 2021-07-29T11:08:10.000Z | test/test_diff_tar.py | gmertes/conda-mirror | 34b206e19d8c858676ce2b707da15165578e6f79 | [
"BSD-3-Clause"
] | 34 | 2020-09-05T05:08:16.000Z | 2022-03-09T15:13:55.000Z | test/test_diff_tar.py | gmertes/conda-mirror | 34b206e19d8c858676ce2b707da15165578e6f79 | [
"BSD-3-Clause"
] | 7 | 2020-09-07T09:45:59.000Z | 2022-01-20T20:16:38.000Z | import os
import sys
import json
import shutil
import tempfile
from os.path import isfile, join
import pathlib
import pytest
import conda_mirror.diff_tar as dt
EMPTY_MD5 = "d41d8cd98f00b204e9800998ecf8427e"
@pytest.fixture
| 29.588235 | 88 | 0.680583 | import os
import sys
import json
import shutil
import tempfile
from os.path import isfile, join
import pathlib
import pytest
import conda_mirror.diff_tar as dt
EMPTY_MD5 = "d41d8cd98f00b204e9800998ecf8427e"
@pytest.fixture
def tmpdir():
tmpdir = tempfile.mkdtemp()
dt.mirror_dir = join(tmpdir, "repo")
... | 5,305 | 0 | 482 |
926b3d6413e556587b0edd606bb4824c907485dd | 417 | py | Python | app/core/migrations/0005_item_slug.py | Andika7/microservice-django | 7c25635d7fe371a62f14d2e3b6685678354a0568 | [
"MIT"
] | null | null | null | app/core/migrations/0005_item_slug.py | Andika7/microservice-django | 7c25635d7fe371a62f14d2e3b6685678354a0568 | [
"MIT"
] | null | null | null | app/core/migrations/0005_item_slug.py | Andika7/microservice-django | 7c25635d7fe371a62f14d2e3b6685678354a0568 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.2 on 2020-02-05 10:54
from django.db import migrations, models
| 20.85 | 54 | 0.58753 | # Generated by Django 3.0.2 on 2020-02-05 10:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0004_auto_20200205_1029'),
]
operations = [
migrations.AddField(
model_name='item',
name='slug',
... | 0 | 303 | 23 |
be8b6d00d6603fd9d2bfbc19d2ac5292cd519ac9 | 1,268 | py | Python | src/views/CmdView/deactivate.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | 1 | 2019-06-17T17:01:17.000Z | 2019-06-17T17:01:17.000Z | src/views/CmdView/deactivate.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | 7 | 2021-02-08T20:46:15.000Z | 2021-09-08T02:12:59.000Z | src/views/CmdView/deactivate.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
from views.CmdView.tokenify import Tokenify
from views.CmdView.command import Command
| 30.190476 | 77 | 0.576498 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
from views.CmdView.tokenify import Tokenify
from views.CmdView.command import Command
class Deactivate(Command):
def __init__(self, object, obj, id=None):
super(Deactivate, self).__init__(obj)
self.id = id
self.object = object
def e... | 1,020 | 5 | 103 |
277cfc2eaf7d209975206be666ec892e87746c43 | 4,457 | py | Python | datasets/utils.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | null | null | null | datasets/utils.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | 1 | 2019-08-16T07:09:22.000Z | 2019-09-04T04:59:51.000Z | datasets/utils.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | 1 | 2020-01-13T04:51:22.000Z | 2020-01-13T04:51:22.000Z | import numpy as np
from scipy.misc import imread
import torch
import random
#这里跳帧
#增加跳帧功能
#跳帧且加载gt
| 30.319728 | 118 | 0.572582 | import numpy as np
from scipy.misc import imread
import torch
import random
def load_depth(path,format='png'):
if format=='npy':
tgt_depth = np.expand_dims(np.load(path), axis=0)
elif format=='png':
tgt_depth =np.expand_dims( imread(path), axis=0)
return torch.from_numpy(tgt_depth).float()... | 4,378 | 0 | 112 |
6377ca21c65dacd8a4f10dd4484517d8cf1d99aa | 6,665 | py | Python | modules/datastructures/TrainData_deepCSV.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | 1 | 2018-02-16T13:13:09.000Z | 2018-02-16T13:13:09.000Z | modules/datastructures/TrainData_deepCSV.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | null | null | null | modules/datastructures/TrainData_deepCSV.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | 5 | 2017-11-03T15:51:27.000Z | 2019-05-29T14:45:23.000Z | '''
Created on 21 Feb 2017
@author: jkiesele
'''
from TrainDataDeepJet import TrainData_Flavour, TrainData_simpleTruth, TrainData_fullTruth, fileTimeOut
import numpy as np
class TrainData_deepCSV(TrainData_Flavour, TrainData_simpleTruth):
'''
same as TrainData_deepCSV but with 4 truth labels: B BB C UDSG
... | 35.452128 | 103 | 0.580045 | '''
Created on 21 Feb 2017
@author: jkiesele
'''
from TrainDataDeepJet import TrainData_Flavour, TrainData_simpleTruth, TrainData_fullTruth, fileTimeOut
import numpy as np
class TrainData_deepCSV(TrainData_Flavour, TrainData_simpleTruth):
'''
same as TrainData_deepCSV but with 4 truth labels: B BB C UDSG
... | 2,537 | 0 | 54 |
589972506c18ceae6aaf9215a98021b547e17043 | 603 | py | Python | src/clover/demo.py | gregjhansell97/leprechaun | d31e8d1a4b0a91aee2902602224c924b0b89fa06 | [
"MIT"
] | null | null | null | src/clover/demo.py | gregjhansell97/leprechaun | d31e8d1a4b0a91aee2902602224c924b0b89fa06 | [
"MIT"
] | null | null | null | src/clover/demo.py | gregjhansell97/leprechaun | d31e8d1a4b0a91aee2902602224c924b0b89fa06 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from clover.gui import CloverApp, Clock
# may want to consider bounding speed
app = CloverApp(title="leo-demo")
| 20.793103 | 55 | 0.633499 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from clover.gui import CloverApp, Clock
# may want to consider bounding speed
app = CloverApp(title="leo-demo")
def tick(time_interval):
if app.world.gold is None or app.world.leo is None:
return
try:
gold_x, gold_y = app.world.gold.loc
... | 393 | 0 | 46 |
7c1efb98e5fd682a9bcfc00cec5517743f22f8a6 | 1,197 | py | Python | flatiron-notebook/test/test_languages.py | IllumiDesk/flatiron-stacks | 51ec24fefc35ccca0a1667ae20438db26a901d22 | [
"MIT"
] | null | null | null | flatiron-notebook/test/test_languages.py | IllumiDesk/flatiron-stacks | 51ec24fefc35ccca0a1667ae20438db26a901d22 | [
"MIT"
] | 2 | 2021-08-02T02:53:14.000Z | 2021-11-05T18:08:18.000Z | flatiron-notebook/test/test_languages.py | IllumiDesk/flatiron-stacks | 51ec24fefc35ccca0a1667ae20438db26a901d22 | [
"MIT"
] | 1 | 2020-10-21T16:08:46.000Z | 2020-10-21T16:08:46.000Z | import docker
from docker.errors import ContainerError
import logging
import pytest
LOGGER = logging.getLogger(__name__)
PYTHON_VERSION='3.9.5'
NOTEBOOK_IMAGE_TAG=f'python-{PYTHON_VERSION}'
@pytest.mark.parametrize(
'language,version_output',
[
('python', ['Python', '3.9.5\n']),
],
)
def test... | 29.925 | 113 | 0.70259 | import docker
from docker.errors import ContainerError
import logging
import pytest
LOGGER = logging.getLogger(__name__)
PYTHON_VERSION='3.9.5'
NOTEBOOK_IMAGE_TAG=f'python-{PYTHON_VERSION}'
@pytest.mark.parametrize(
'language,version_output',
[
('python', ['Python', '3.9.5\n']),
],
)
def test... | 0 | 0 | 0 |
39b66c96fbaf8cecf65a0efb079529756c9fb5ba | 5,846 | py | Python | bot.py | rivermont/orka | 4719c3b758d85f9b340698b9b637af196a50cec2 | [
"MIT"
] | 1 | 2017-10-08T17:18:44.000Z | 2017-10-08T17:18:44.000Z | bot.py | rivermont/orka | 4719c3b758d85f9b340698b9b637af196a50cec2 | [
"MIT"
] | null | null | null | bot.py | rivermont/orka | 4719c3b758d85f9b340698b9b637af196a50cec2 | [
"MIT"
] | null | null | null | """
Orka Discord Bot
Copyright (c) 2017 William Bennett
"""
###########
# IMPORTS #
###########
import discord
import random
import markovify
from os import path, makedirs
from scripts import *
###################
# OTHER FUNCTIONS #
###################
def add_msg(channel, text, mode='a+'):
"""
Appends ... | 34.591716 | 128 | 0.561923 | """
Orka Discord Bot
Copyright (c) 2017 William Bennett
"""
###########
# IMPORTS #
###########
import discord
import random
import markovify
from os import path, makedirs
from scripts import *
###################
# OTHER FUNCTIONS #
###################
def add_msg(channel, text, mode='a+'):
"""
Appends ... | 5,018 | 6 | 127 |
5dfc4ead3ddd6b27d4c94803fa33ddb4e209c9c4 | 20,054 | py | Python | composer/callbacks/checkpoint_saver.py | hanlint/composer | 83d96b7efde533cbc2fff7dd7e0769da2b177807 | [
"Apache-2.0"
] | null | null | null | composer/callbacks/checkpoint_saver.py | hanlint/composer | 83d96b7efde533cbc2fff7dd7e0769da2b177807 | [
"Apache-2.0"
] | null | null | null | composer/callbacks/checkpoint_saver.py | hanlint/composer | 83d96b7efde533cbc2fff7dd7e0769da2b177807 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 MosaicML. All Rights Reserved.
"""Callback to save checkpoints during training."""
from __future__ import annotations
import logging
import os
import pathlib
import textwrap
from typing import Callable, List, Optional, Tuple, Union
from composer.core import Event, State
from composer.core.callback ... | 49.761787 | 154 | 0.621472 | # Copyright 2021 MosaicML. All Rights Reserved.
"""Callback to save checkpoints during training."""
from __future__ import annotations
import logging
import os
import pathlib
import textwrap
from typing import Callable, List, Optional, Tuple, Union
from composer.core import Event, State
from composer.core.callback ... | 7,195 | 10,577 | 50 |
9df712a61c104af137c3836ef28840763dfb0311 | 5,919 | py | Python | wrapperNYU.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 171 | 2020-06-28T04:03:23.000Z | 2022-03-30T08:50:20.000Z | wrapperNYU.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 9 | 2020-08-20T08:56:38.000Z | 2022-01-19T19:53:51.000Z | wrapperNYU.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 19 | 2020-06-23T11:49:03.000Z | 2022-01-22T01:49:26.000Z | import torch
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import models
# Return triplet of predictions, ground-truth and error
| 48.516393 | 167 | 0.66937 | import torch
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import models
# Return triplet of predictions, ground-truth and error
def wrapperNYU(dataBatch, opt,
encoder, albedoDecoder, normalDecoder, roughDecoder, depthDecoder ):
# Load data from cpu to gpu
normal_c... | 5,724 | 0 | 24 |
5108e36e1b24e0722a49cfe5996dd84987d18722 | 1,337 | py | Python | ex105.py | ArthurCorrea/python-exercises | 0c2ac46b8c40dd9868b132e847cfa42e025095e3 | [
"MIT"
] | null | null | null | ex105.py | ArthurCorrea/python-exercises | 0c2ac46b8c40dd9868b132e847cfa42e025095e3 | [
"MIT"
] | null | null | null | ex105.py | ArthurCorrea/python-exercises | 0c2ac46b8c40dd9868b132e847cfa42e025095e3 | [
"MIT"
] | null | null | null | # Faça um programa que tenha um função notas() que pode receber várias
# notas de alunos e vai retornar um dicionário com as seguintes informações:
# - Quantidade de notas;
# - A maior nota;
# - A menor nota;
# - A média da turma;
# - A situação(opcional);
# Adicione também as docstrings da função.
def notas(show=Fal... | 27.854167 | 84 | 0.554226 | # Faça um programa que tenha um função notas() que pode receber várias
# notas de alunos e vai retornar um dicionário com as seguintes informações:
# - Quantidade de notas;
# - A maior nota;
# - A menor nota;
# - A média da turma;
# - A situação(opcional);
# Adicione também as docstrings da função.
def notas(show=Fal... | 0 | 0 | 0 |
78baa060484aee5b5791c697ecb50180a17dcae1 | 15,613 | py | Python | core/models/group.py | agolibroda/PyTorWiki | 678a2ae13d0027c61af36e61b72e4e54493a29ac | [
"Apache-2.0"
] | null | null | null | core/models/group.py | agolibroda/PyTorWiki | 678a2ae13d0027c61af36e61b72e4e54493a29ac | [
"Apache-2.0"
] | null | null | null | core/models/group.py | agolibroda/PyTorWiki | 678a2ae13d0027c61af36e61b72e4e54493a29ac | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
#
# Copyright 2016 Alec Goliboda
#
# group.py
from __future__ import print_function
import logging
import json
import zlib
# import markdown
from datetime import datetime
import tornado.options
# import pymysql
import hashlib
import bcrypt
i... | 40.343669 | 193 | 0.547172 | #!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
#
# Copyright 2016 Alec Goliboda
#
# group.py
from __future__ import print_function
import logging
import json
import zlib
# import markdown
from datetime import datetime
import tornado.options
# import pymysql
import hashlib
import bcrypt
i... | 2,684 | 3,344 | 99 |
70b6c80341def36320aeb56eea498bea8fda840e | 4,327 | py | Python | spug_api/libs/parser.py | atompi/spug | 88ebd46e47c88731b40cb82a6c7a360511b703fa | [
"MIT"
] | null | null | null | spug_api/libs/parser.py | atompi/spug | 88ebd46e47c88731b40cb82a6c7a360511b703fa | [
"MIT"
] | null | null | null | spug_api/libs/parser.py | atompi/spug | 88ebd46e47c88731b40cb82a6c7a360511b703fa | [
"MIT"
] | null | null | null | # Copyright: (c) OpenSpug Organization. https://github.com/openspug/spug
# Copyright: (c) <spug.dev@gmail.com>
# Released under the AGPL-3.0 License.
import json
from .utils import AttrDict
# 自定义的解析异常
# 需要校验的参数对象
class Argument(object):
"""
:param name: name of option
:param default: default value if t... | 33.030534 | 105 | 0.554657 | # Copyright: (c) OpenSpug Organization. https://github.com/openspug/spug
# Copyright: (c) <spug.dev@gmail.com>
# Released under the AGPL-3.0 License.
import json
from .utils import AttrDict
# 自定义的解析异常
class ParseError(BaseException):
def __init__(self, message):
self.message = message
# 需要校验的参数对象
class... | 3,534 | 23 | 360 |
ca3c214980bb966e02bee0584e6a700a068fc2b7 | 3,954 | py | Python | mBugTranslations/Chrome.py | SkyLined/mBugId | 781bfe9a120e55630a91ce1e86b39ad0dee031ec | [
"CC-BY-4.0"
] | 22 | 2016-08-11T14:50:55.000Z | 2021-06-06T09:39:26.000Z | mBugTranslations/Chrome.py | SkyLined/mBugId | 781bfe9a120e55630a91ce1e86b39ad0dee031ec | [
"CC-BY-4.0"
] | 19 | 2016-09-07T05:54:40.000Z | 2020-07-02T07:46:38.000Z | mBugTranslations/Chrome.py | SkyLined/mBugId | 781bfe9a120e55630a91ce1e86b39ad0dee031ec | [
"CC-BY-4.0"
] | 11 | 2016-09-03T22:42:50.000Z | 2018-10-01T18:28:59.000Z | import re;
from .cBugTranslation import cBugTranslation;
aoBugTranslations = [
# ASan build related -> Ignored
cBugTranslation(
azs0rbAdditionalIrrelevantStackFrameSymbols = [
rb".*!`anonymous namespace'::Create", # Part of skia
rb".*!base::debug::BreakDebugger",
rb".*!base::debug::CollectGDI... | 40.762887 | 151 | 0.686899 | import re;
from .cBugTranslation import cBugTranslation;
aoBugTranslations = [
# ASan build related -> Ignored
cBugTranslation(
azs0rbAdditionalIrrelevantStackFrameSymbols = [
rb".*!`anonymous namespace'::Create", # Part of skia
rb".*!base::debug::BreakDebugger",
rb".*!base::debug::CollectGDI... | 0 | 0 | 0 |
f7b84e0119a5bb7d3e69b3fc77fd9952daf83b18 | 2,975 | py | Python | ProjetoMercado/mercado/models.py | LucasRodriguesDaPaixao/ProjetoMercado | 7a086ab0af800b15ef090520c9c81a0cd83dd650 | [
"MIT"
] | null | null | null | ProjetoMercado/mercado/models.py | LucasRodriguesDaPaixao/ProjetoMercado | 7a086ab0af800b15ef090520c9c81a0cd83dd650 | [
"MIT"
] | null | null | null | ProjetoMercado/mercado/models.py | LucasRodriguesDaPaixao/ProjetoMercado | 7a086ab0af800b15ef090520c9c81a0cd83dd650 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
| 33.806818 | 103 | 0.736807 | from django.db import models
# Create your models here.
class Cliente(models.Model):
ID_cliente = models.AutoField(primary_key=True)
nome_cliente = models.CharField(max_length=100, verbose_name="Nome:")
cpf = models.CharField(max_length=14, verbose_name="CPF:")
def __str__(self):
return self.... | 260 | 2,486 | 160 |
e682d03323f99fc860ddd405e81e02079d38b903 | 2,979 | py | Python | macrokit/_validator.py | hanjinliu/macro-kit | 61ebc38ea1086337d5a7477c6e896af0220f8a71 | [
"BSD-3-Clause"
] | 2 | 2021-11-02T09:53:49.000Z | 2021-11-10T10:33:05.000Z | macrokit/_validator.py | hanjinliu/macro-kit | 61ebc38ea1086337d5a7477c6e896af0220f8a71 | [
"BSD-3-Clause"
] | null | null | null | macrokit/_validator.py | hanjinliu/macro-kit | 61ebc38ea1086337d5a7477c6e896af0220f8a71 | [
"BSD-3-Clause"
] | null | null | null | from typing import Callable, Hashable, TypeVar, Iterable, Union
from ._symbol import Symbol
from .head import Head
_T = TypeVar("_T", bound=Hashable)
_A = TypeVar("_A")
class Validator:
"""A validator class that will be used for Expr argument validation."""
def register(self, value: _T):
"""Register... | 22.568182 | 75 | 0.627727 | from typing import Callable, Hashable, TypeVar, Iterable, Union
from ._symbol import Symbol
from .head import Head
_T = TypeVar("_T", bound=Hashable)
_A = TypeVar("_A")
class Validator:
"""A validator class that will be used for Expr argument validation."""
def __init__(self):
self._map: dict[_T, Ca... | 1,270 | 0 | 256 |
2dcc5057b0af83ae887869fbadf0b60476028183 | 7,579 | py | Python | cubi_tk/archive/readme.py | eudesbarbosa/cubi-tk | 80c3ef9387f2399f796b2cc445b99781d541f222 | [
"MIT"
] | null | null | null | cubi_tk/archive/readme.py | eudesbarbosa/cubi-tk | 80c3ef9387f2399f796b2cc445b99781d541f222 | [
"MIT"
] | null | null | null | cubi_tk/archive/readme.py | eudesbarbosa/cubi-tk | 80c3ef9387f2399f796b2cc445b99781d541f222 | [
"MIT"
] | null | null | null | """``cubi-tk archive prepare``: Prepare a project for archival"""
import errno
import os
import re
import shutil
import sys
import tempfile
from cookiecutter.main import cookiecutter
from logzero import logger
from ..common import execute_shell_commands
from ..isa_tpl import IsaTabTemplate
from ..isa_tpl import load... | 34.766055 | 98 | 0.577517 | """``cubi-tk archive prepare``: Prepare a project for archival"""
import errno
import os
import re
import shutil
import sys
import tempfile
from cookiecutter.main import cookiecutter
from logzero import logger
from ..common import execute_shell_commands
from ..isa_tpl import IsaTabTemplate
from ..isa_tpl import load... | 5,266 | 0 | 184 |
769fc816a6040cc61dab6376c20fd5c6bf0ebaa0 | 989 | py | Python | sigmod2021-exdra-p523/experiments/archive/submitted_results/code/other/pca.py | damslab/reproducibility | f7804b2513859f7e6f14fa7842d81003d0758bf8 | [
"Apache-2.0"
] | 4 | 2021-12-10T17:20:26.000Z | 2021-12-27T14:38:40.000Z | sigmod2021-exdra-p523/experiments/code/other/pca.py | damslab/reproducibility | f7804b2513859f7e6f14fa7842d81003d0758bf8 | [
"Apache-2.0"
] | null | null | null | sigmod2021-exdra-p523/experiments/code/other/pca.py | damslab/reproducibility | f7804b2513859f7e6f14fa7842d81003d0758bf8 | [
"Apache-2.0"
] | null | null | null |
import numpy as np
import argparse
from sklearn.decomposition import PCA
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
parser = argparse.ArgumentParser()
parser.add_argument('-x', '--datapath', type=str, required=True)
parser.add_argument('-y', '--labels', type=str, requ... | 43 | 118 | 0.781598 |
import numpy as np
import argparse
from sklearn.decomposition import PCA
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
parser = argparse.ArgumentParser()
parser.add_argument('-x', '--datapath', type=str, required=True)
parser.add_argument('-y', '--labels', type=str, requ... | 0 | 0 | 0 |
ac1fa224c6f4611660c583d6666d2a339221dfa7 | 8,868 | py | Python | prototypes/learn_weigths.py | pantelisantonoudiou/Logic_szrDetect | 3267cabc78905c189a97e06ea2731b6f9e7b2def | [
"Apache-2.0"
] | 1 | 2020-11-19T19:26:34.000Z | 2020-11-19T19:26:34.000Z | prototypes/learn_weigths.py | pantelisantonoudiou/Logic_szrDetect | 3267cabc78905c189a97e06ea2731b6f9e7b2def | [
"Apache-2.0"
] | null | null | null | prototypes/learn_weigths.py | pantelisantonoudiou/Logic_szrDetect | 3267cabc78905c189a97e06ea2731b6f9e7b2def | [
"Apache-2.0"
] | 1 | 2021-04-07T11:41:39.000Z | 2021-04-07T11:41:39.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 13 09:14:32 2020
@author: Pante
"""
import os, features, time
import numpy as np
from sklearn.preprocessing import StandardScaler
from array_helper import find_szr_idx, match_szrs, merge_close
from build_feature_data import get_data, get_features_allch
from sklearn.metric... | 27.974763 | 141 | 0.614005 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 13 09:14:32 2020
@author: Pante
"""
import os, features, time
import numpy as np
from sklearn.preprocessing import StandardScaler
from array_helper import find_szr_idx, match_szrs, merge_close
from build_feature_data import get_data, get_features_allch
from sklearn.metric... | 2,799 | 0 | 54 |
276b5d3d63f7139687164c5d10374d92ac764ed2 | 1,016 | py | Python | qcloudsdkcmem/DescribeCmemRequest.py | f3n9/qcloudcli | b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19 | [
"Apache-2.0"
] | null | null | null | qcloudsdkcmem/DescribeCmemRequest.py | f3n9/qcloudcli | b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19 | [
"Apache-2.0"
] | null | null | null | qcloudsdkcmem/DescribeCmemRequest.py | f3n9/qcloudcli | b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from qcloudsdkcore.request import Request
| 25.4 | 73 | 0.643701 | # -*- coding: utf-8 -*-
from qcloudsdkcore.request import Request
class DescribeCmemRequest(Request):
def __init__(self):
super(DescribeCmemRequest, self).__init__(
'cmem', 'qcloudcliV1', 'DescribeCmem', 'cmem.api.qcloud.com')
def get_limit(self):
return self.get_params().get('li... | 615 | 14 | 320 |
14f7045572f6a48f7da91a5292fba1fe343f71d8 | 391 | py | Python | tests/unit/cartography/intel/aws/test_ecr.py | srics/cartography | 19a06766e304d657d956246179a2bb01a6d9aef6 | [
"Apache-2.0"
] | 1 | 2022-03-31T03:24:37.000Z | 2022-03-31T03:24:37.000Z | tests/unit/cartography/intel/aws/test_ecr.py | srics/cartography | 19a06766e304d657d956246179a2bb01a6d9aef6 | [
"Apache-2.0"
] | null | null | null | tests/unit/cartography/intel/aws/test_ecr.py | srics/cartography | 19a06766e304d657d956246179a2bb01a6d9aef6 | [
"Apache-2.0"
] | null | null | null | from cartography.intel.aws import ecr
from tests.data.aws.ecr import GET_ECR_REPOSITORY_IMAGE_VULNS
| 43.444444 | 96 | 0.803069 | from cartography.intel.aws import ecr
from tests.data.aws.ecr import GET_ECR_REPOSITORY_IMAGE_VULNS
def test_transform_repository_image_vulns():
transformed_data = ecr.transform_ecr_scan_finding_attributes(GET_ECR_REPOSITORY_IMAGE_VULNS)
assert transformed_data['findings'][0]['package_name'] == 'some_name'
... | 267 | 0 | 23 |
a06cceb6d9e57c9f8d1381b5bcfd1fa628bd0789 | 2,314 | py | Python | rssnewsbot/spiders/rssspider.py | hijoe320/RSSBot | cbc0bc24d980ede3419111d51384abbc2c93f70c | [
"MIT"
] | null | null | null | rssnewsbot/spiders/rssspider.py | hijoe320/RSSBot | cbc0bc24d980ede3419111d51384abbc2c93f70c | [
"MIT"
] | null | null | null | rssnewsbot/spiders/rssspider.py | hijoe320/RSSBot | cbc0bc24d980ede3419111d51384abbc2c93f70c | [
"MIT"
] | null | null | null | from time import sleep, gmtime, mktime
from datetime import datetime
import logging
import scrapy
import redis
import msgpack
import xxhash
import pymongo as pm
import feedparser as fp
from colorama import Back, Fore, Style
from ..settings import MONGODB_URI, REDIS_HOST, REDIS_PORT, REDIS_PWD, REDIS_PENDING_QUEUE
def... | 32.138889 | 103 | 0.617978 | from time import sleep, gmtime, mktime
from datetime import datetime
import logging
import scrapy
import redis
import msgpack
import xxhash
import pymongo as pm
import feedparser as fp
from colorama import Back, Fore, Style
from ..settings import MONGODB_URI, REDIS_HOST, REDIS_PORT, REDIS_PWD, REDIS_PENDING_QUEUE
def... | 1,545 | 195 | 23 |
0a29357a3fcb65eb38130117fd1af6fb06bc1c40 | 11,992 | py | Python | data/transforms/data_preprocessing.py | zyxwvu321/Classifer_SSL_Longtail | e6c09414c49e695b0f4221a3c6245ae3929a1788 | [
"MIT"
] | null | null | null | data/transforms/data_preprocessing.py | zyxwvu321/Classifer_SSL_Longtail | e6c09414c49e695b0f4221a3c6245ae3929a1788 | [
"MIT"
] | null | null | null | data/transforms/data_preprocessing.py | zyxwvu321/Classifer_SSL_Longtail | e6c09414c49e695b0f4221a3c6245ae3929a1788 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 8 15:36:15 2020
dataset transform
@author: minjie
"""
import albumentations as A
from albumentations.pytorch import ToTensor as ToTensor_albu
import cv2
import torch
from multiprocessing import Pool
from utils.parse_meta import parse_kpds
import ... | 38.935065 | 162 | 0.488075 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 8 15:36:15 2020
dataset transform
@author: minjie
"""
import albumentations as A
from albumentations.pytorch import ToTensor as ToTensor_albu
import cv2
import torch
from multiprocessing import Pool
from utils.parse_meta import parse_kpds
import ... | 181 | 10,462 | 116 |
22a8e0eda2fca9bf48bd5895ab01712afaaf9054 | 265 | py | Python | Python/leetcode/HIndexIi.py | darrencheng0817/AlgorithmLearning | aec1ddd0c51b619c1bae1e05f940d9ed587aa82f | [
"MIT"
] | 2 | 2015-12-02T06:44:01.000Z | 2016-05-04T21:40:54.000Z | Python/leetcode/HIndexIi.py | darrencheng0817/AlgorithmLearning | aec1ddd0c51b619c1bae1e05f940d9ed587aa82f | [
"MIT"
] | null | null | null | Python/leetcode/HIndexIi.py | darrencheng0817/AlgorithmLearning | aec1ddd0c51b619c1bae1e05f940d9ed587aa82f | [
"MIT"
] | null | null | null | '''
Created on 1.12.2016
@author: Darren
''''''
Follow up for H-Index: What if the citations array is sorted in ascending order? Could you optimize your algorithm?
Expected runtime complexity is in O(log n) and the input is sorted.
"
'''
| 18.928571 | 117 | 0.656604 | '''
Created on 1.12.2016
@author: Darren
''''''
Follow up for H-Index: What if the citations array is sorted in ascending order? Could you optimize your algorithm?
Expected runtime complexity is in O(log n) and the input is sorted.
"
'''
| 0 | 0 | 0 |
c6d3edd93fcde8345da8ce9f04c85393e6bb98d8 | 5,516 | py | Python | HW1/hw1/code/visual_recog.py | jiansfoggy/16-720B | 6395555449fa297f19efb42970e480f1b382e38a | [
"Unlicense"
] | 2 | 2020-03-31T15:54:49.000Z | 2022-01-07T13:43:46.000Z | HW1/hw1/code/visual_recog.py | jiansfoggy/16-720B | 6395555449fa297f19efb42970e480f1b382e38a | [
"Unlicense"
] | null | null | null | HW1/hw1/code/visual_recog.py | jiansfoggy/16-720B | 6395555449fa297f19efb42970e480f1b382e38a | [
"Unlicense"
] | 4 | 2019-09-10T00:48:11.000Z | 2022-01-07T13:43:50.000Z | import numpy as np
import threading
import queue
import imageio
import os,time
import math
import visual_words
import multiprocessing as mp
def build_recognition_system(num_workers=2):
'''
Creates a trained recognition system by generating training features from all training images.
[input]
* num_wo... | 28.729167 | 143 | 0.701051 | import numpy as np
import threading
import queue
import imageio
import os,time
import math
import visual_words
import multiprocessing as mp
def build_recognition_system(num_workers=2):
'''
Creates a trained recognition system by generating training features from all training images.
[input]
* num_wo... | 236 | 0 | 25 |
076663290b2821e6423b989415d2957ab3b21b81 | 441 | py | Python | app/__init__.py | SalesAppi/JPSSM_topics | 6be32fca31e5e15f51753101a222a08fd2013f9b | [
"MIT"
] | 1 | 2022-03-01T08:15:28.000Z | 2022-03-01T08:15:28.000Z | app/__init__.py | SalesAppi/JPSSM_topics | 6be32fca31e5e15f51753101a222a08fd2013f9b | [
"MIT"
] | null | null | null | app/__init__.py | SalesAppi/JPSSM_topics | 6be32fca31e5e15f51753101a222a08fd2013f9b | [
"MIT"
] | 1 | 2020-12-14T05:00:28.000Z | 2020-12-14T05:00:28.000Z | from flask import Flask
import gensim
import re
from gensim.models import LdaModel
from gensim.test.utils import datapath
from gensim import corpora, models
from gensim.corpora import Dictionary
from re import sub
import os
import string
import codecs
import nltk
#from nltk.tokenize import RegexpTokenizer
#from nlt... | 19.173913 | 42 | 0.825397 | from flask import Flask
import gensim
import re
from gensim.models import LdaModel
from gensim.test.utils import datapath
from gensim import corpora, models
from gensim.corpora import Dictionary
from re import sub
import os
import string
import codecs
import nltk
#from nltk.tokenize import RegexpTokenizer
#from nlt... | 0 | 0 | 0 |
0cd7b7f58642768e6475f872172900431c6d1e24 | 100 | py | Python | tests/core/test_str_utils.py | namuan/orkestra | 83b67f7e816c94b75232691c14d91fd9d62213ed | [
"MIT"
] | null | null | null | tests/core/test_str_utils.py | namuan/orkestra | 83b67f7e816c94b75232691c14d91fd9d62213ed | [
"MIT"
] | 11 | 2020-06-07T12:29:21.000Z | 2020-06-24T19:44:36.000Z | tests/core/test_str_utils.py | namuan/orkestra | 83b67f7e816c94b75232691c14d91fd9d62213ed | [
"MIT"
] | null | null | null | from app.utils.str_utils import str_to_int
| 16.666667 | 42 | 0.73 | from app.utils.str_utils import str_to_int
def test_str_to_int():
assert str_to_int("5") == 5
| 33 | 0 | 23 |
f6c6564e121ddf8a7df728a398f2d1498dea1117 | 7,942 | py | Python | tables.py | arunext/greffy | 001a0b94428629b9cdfaa8966f3cf6cd6f349e8a | [
"Apache-2.0"
] | null | null | null | tables.py | arunext/greffy | 001a0b94428629b9cdfaa8966f3cf6cd6f349e8a | [
"Apache-2.0"
] | null | null | null | tables.py | arunext/greffy | 001a0b94428629b9cdfaa8966f3cf6cd6f349e8a | [
"Apache-2.0"
] | null | null | null | import psycopg2
from config import config
import datetime
from textblob import TextBlob
import nltk
from nltk.corpus import stopwords
def create_tables():
""" create tables in the PostgreSQL database"""
params = config()
# connect to the PostgreSQL server
conn = psycopg2.connect(**params)
cur = c... | 27.013605 | 157 | 0.629816 | import psycopg2
from config import config
import datetime
from textblob import TextBlob
import nltk
from nltk.corpus import stopwords
def create_tables():
""" create tables in the PostgreSQL database"""
params = config()
# connect to the PostgreSQL server
conn = psycopg2.connect(**params)
cur = c... | 2,434 | 0 | 69 |
2f1c4753ac08df358bf6226a60a7c9bda64e76e2 | 950 | py | Python | weltgeist/units.py | samgeen/Weltgeist | c7d52e879bb3473cecbb06651b5e76dac3020da6 | [
"MIT"
] | null | null | null | weltgeist/units.py | samgeen/Weltgeist | c7d52e879bb3473cecbb06651b5e76dac3020da6 | [
"MIT"
] | null | null | null | weltgeist/units.py | samgeen/Weltgeist | c7d52e879bb3473cecbb06651b5e76dac3020da6 | [
"MIT"
] | null | null | null | """
Defined code units and physical quantities
The Python parts of Weltgeist use cgs
VH1 uses units defined below
Sam Geen, February 2018
"""
import numpy as np
# Physical quantities (base units in cgs)
pc = 3.086e+18
mH = 1.66e-24
year = 3.154e+7
Myr = 1e6*year
kB = 1.3806485279e-16 # in cgs
G = 6.674... | 26.388889 | 85 | 0.663158 | """
Defined code units and physical quantities
The Python parts of Weltgeist use cgs
VH1 uses units defined below
Sam Geen, February 2018
"""
import numpy as np
# Physical quantities (base units in cgs)
pc = 3.086e+18
mH = 1.66e-24
year = 3.154e+7
Myr = 1e6*year
kB = 1.3806485279e-16 # in cgs
G = 6.674... | 0 | 0 | 0 |
6f13085bc1fdca1855e4e392298226e252788d0b | 343 | py | Python | api/interest/api/viewsets.py | jhonatantft/ckl | 8a0d533922fa091ac5f2dbe50caee3920ec2b90d | [
"MIT"
] | null | null | null | api/interest/api/viewsets.py | jhonatantft/ckl | 8a0d533922fa091ac5f2dbe50caee3920ec2b90d | [
"MIT"
] | 2 | 2021-05-08T21:26:43.000Z | 2022-02-19T00:26:17.000Z | api/interest/api/viewsets.py | jhonatantft/ckl | 8a0d533922fa091ac5f2dbe50caee3920ec2b90d | [
"MIT"
] | null | null | null | from rest_framework.response import Response
from rest_framework.filters import SearchFilter
from rest_framework.viewsets import ModelViewSet
from interest.models import Interest
from .serializers import InterestSerializer
| 31.181818 | 48 | 0.848397 | from rest_framework.response import Response
from rest_framework.filters import SearchFilter
from rest_framework.viewsets import ModelViewSet
from interest.models import Interest
from .serializers import InterestSerializer
class InterestsViewSet(ModelViewSet):
serializer_class = InterestSerializer
queryset = ... | 0 | 97 | 23 |
ca8b1afb26f13038161c24aead09569f01b99768 | 9,456 | py | Python | olwidget/widgets.py | jj0hns0n/mednet | efb6681292e7ac8f870ee5967a5a2b352853ae35 | [
"BSD-3-Clause"
] | 2 | 2016-02-18T01:06:04.000Z | 2016-02-18T03:53:37.000Z | olwidget/widgets.py | jj0hns0n/mednet | efb6681292e7ac8f870ee5967a5a2b352853ae35 | [
"BSD-3-Clause"
] | null | null | null | olwidget/widgets.py | jj0hns0n/mednet | efb6681292e7ac8f870ee5967a5a2b352853ae35 | [
"BSD-3-Clause"
] | null | null | null | import re
from django.contrib.gis.gdal import OGRException, OGRGeometry
from django.contrib.gis.geos import GEOSGeometry
from django.forms.widgets import Textarea
from django.template.loader import render_to_string
from django.utils import simplejson
from django.conf import settings
from django import forms
# Def... | 32.273038 | 88 | 0.602792 | import re
from django.contrib.gis.gdal import OGRException, OGRGeometry
from django.contrib.gis.geos import GEOSGeometry
from django.forms.widgets import Textarea
from django.template.loader import render_to_string
from django.utils import simplejson
from django.conf import settings
from django import forms
def reduc... | 4,049 | 84 | 304 |
a777c1f7cbe7e6ff795a3c5c9391e45397c000e0 | 921 | py | Python | advent/year2021/day1.py | davweb/advent-of-code | 6d9ac52092f4aad26a84d7cfd2fcd8420f1ea612 | [
"Unlicense"
] | null | null | null | advent/year2021/day1.py | davweb/advent-of-code | 6d9ac52092f4aad26a84d7cfd2fcd8420f1ea612 | [
"Unlicense"
] | null | null | null | advent/year2021/day1.py | davweb/advent-of-code | 6d9ac52092f4aad26a84d7cfd2fcd8420f1ea612 | [
"Unlicense"
] | null | null | null | #!/usr/local/bin/python3
def part1(data):
"""
>>> part1([199, 200, 208, 210, 200, 207, 240, 269, 260, 263])
7
>>> part1(read_input())
1581
"""
previous = data[0]
count = 0
for value in data[1:]:
if value > previous:
count += 1
previous = value
re... | 16.745455 | 65 | 0.512486 | #!/usr/local/bin/python3
def read_input():
file = open('input/2021/day1-input.txt', 'r')
return [int(line) for line in file.readlines()]
def part1(data):
"""
>>> part1([199, 200, 208, 210, 200, 207, 240, 269, 260, 263])
7
>>> part1(read_input())
1581
"""
previous = data[0]
co... | 158 | 0 | 46 |
ac3978d7b01ad6d6e0f32900633722a103fd5b2e | 4,738 | py | Python | Example/Gutenkunst2007/Lee_2003/LeeNet.py | bcdaniels/SloppyCell | 17e68127a6aba19056a5067748a2d18241cc4d76 | [
"BSD-3-Clause"
] | 2 | 2020-05-26T19:29:39.000Z | 2020-08-26T20:54:52.000Z | Example/Gutenkunst2007/Lee_2003/LeeNet.py | bcdaniels/SloppyCell | 17e68127a6aba19056a5067748a2d18241cc4d76 | [
"BSD-3-Clause"
] | 1 | 2019-04-15T21:08:12.000Z | 2019-04-15T21:08:12.000Z | Example/Gutenkunst2007/Lee_2003/LeeNet.py | jurquiza/SloppyCellUrquiza2019 | a9f64d9d4172c82735813f09e48f36777a714e9c | [
"BSD-3-Clause"
] | 3 | 2017-09-12T03:12:01.000Z | 2018-10-19T11:08:09.000Z | from SloppyCell.ReactionNetworks import *
net = Network('Lee2003')
net.add_compartment('extract')
net.add_parameter('Dsh0', 100, name = r'Dsh^0')
net.add_parameter('APC0', 100, name = r'APC^0')
net.add_parameter('TCF0', 15, name = r'TCF^0')
net.add_parameter('GSK0', 50, name = r'GSK^0')
net.add_species('X2', 'extra... | 41.561404 | 105 | 0.657239 | from SloppyCell.ReactionNetworks import *
net = Network('Lee2003')
net.add_compartment('extract')
net.add_parameter('Dsh0', 100, name = r'Dsh^0')
net.add_parameter('APC0', 100, name = r'APC^0')
net.add_parameter('TCF0', 15, name = r'TCF^0')
net.add_parameter('GSK0', 50, name = r'GSK^0')
net.add_species('X2', 'extra... | 0 | 0 | 0 |
86a50822ca54c8a73daa3b439ad60fdf4ef3c6c6 | 4,288 | py | Python | project_1_1/src/engine.py | tillaczel/Deep-Learning-in-Computer-Vision | 792e90a3ad5bafdb30e0267226c2c75b8afd01e3 | [
"MIT"
] | null | null | null | project_1_1/src/engine.py | tillaczel/Deep-Learning-in-Computer-Vision | 792e90a3ad5bafdb30e0267226c2c75b8afd01e3 | [
"MIT"
] | null | null | null | project_1_1/src/engine.py | tillaczel/Deep-Learning-in-Computer-Vision | 792e90a3ad5bafdb30e0267226c2c75b8afd01e3 | [
"MIT"
] | 1 | 2021-06-08T09:28:01.000Z | 2021-06-08T09:28:01.000Z | from omegaconf import DictConfig
import pytorch_lightning as pl
import torch
from torch import nn
import torchmetrics
from .model import Model
| 34.861789 | 120 | 0.614972 | from omegaconf import DictConfig
import pytorch_lightning as pl
import torch
from torch import nn
import torchmetrics
from .model import Model
class EngineModule(pl.LightningModule):
def __init__(self, config: DictConfig, main_metric: str="f1"):
super().__init__()
self.config = config
se... | 3,796 | 276 | 69 |
07f3349c9a417036cdc8776d53fcfa52d2e1af80 | 5,082 | py | Python | PWGJE/EMCALJetTasks/Tracks/analysis/util/Interpolator.py | maroozm/AliPhysics | 22ec256928cfdf8f800e05bfc1a6e124d90b6eaf | [
"BSD-3-Clause"
] | 114 | 2017-03-03T09:12:23.000Z | 2022-03-03T20:29:42.000Z | PWGJE/EMCALJetTasks/Tracks/analysis/util/Interpolator.py | maroozm/AliPhysics | 22ec256928cfdf8f800e05bfc1a6e124d90b6eaf | [
"BSD-3-Clause"
] | 19,637 | 2017-01-16T12:34:41.000Z | 2022-03-31T22:02:40.000Z | PWGJE/EMCALJetTasks/Tracks/analysis/util/Interpolator.py | maroozm/AliPhysics | 22ec256928cfdf8f800e05bfc1a6e124d90b6eaf | [
"BSD-3-Clause"
] | 1,021 | 2016-07-14T22:41:16.000Z | 2022-03-31T05:15:51.000Z | #**************************************************************************
#* Copyright(c) 1998-2014, ALICE Experiment at CERN, All rights reserved. *
#* *
#* Author: The ALICE Off-line Project. *
#* Contributors ... | 37.925373 | 123 | 0.538764 | #**************************************************************************
#* Copyright(c) 1998-2014, ALICE Experiment at CERN, All rights reserved. *
#* *
#* Author: The ALICE Off-line Project. *
#* Contributors ... | 0 | 3,791 | 23 |
0b9bc42aab3a61dc776c20fde1b7be088ba0e2b2 | 2,276 | py | Python | creator/schema.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | 3 | 2019-05-04T02:07:28.000Z | 2020-10-16T17:47:44.000Z | creator/schema.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | 604 | 2019-02-21T18:14:51.000Z | 2022-02-10T08:13:54.000Z | creator/schema.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | null | null | null | """
This is the root schema definition that combines individual applications'
schemas into one.
Each application that has queries or mutations exports them as either Query
or Mutation from the application's schema module.
No resolvers or type definitions should be included here.
"""
import graphene
from django.conf imp... | 29.947368 | 75 | 0.773726 | """
This is the root schema definition that combines individual applications'
schemas into one.
Each application that has queries or mutations exports them as either Query
or Mutation from the application's schema module.
No resolvers or type definitions should be included here.
"""
import graphene
from django.conf imp... | 0 | 0 | 0 |
eebaa5aaa5d495d9ab50fc4d5c37d590c86b3096 | 9,624 | py | Python | simulation/simulation.py | bopopescu/sparrow-mod | 56c601ee3dd852a9f053bffffc2a52ff3da8d2bd | [
"Apache-2.0"
] | 200 | 2015-01-05T07:37:20.000Z | 2022-03-30T03:28:21.000Z | simulation/simulation.py | bopopescu/sparrow-mod | 56c601ee3dd852a9f053bffffc2a52ff3da8d2bd | [
"Apache-2.0"
] | 1 | 2016-05-13T10:46:32.000Z | 2016-05-13T10:46:32.000Z | simulation/simulation.py | bopopescu/sparrow-mod | 56c601ee3dd852a9f053bffffc2a52ff3da8d2bd | [
"Apache-2.0"
] | 73 | 2015-01-06T02:00:17.000Z | 2021-11-22T10:04:03.000Z | #
# Copyright 2013 The Regents of The University California
#
# 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 applicab... | 40.779661 | 115 | 0.641209 | #
# Copyright 2013 The Regents of The University California
#
# 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 applicab... | 6,768 | 976 | 376 |
eb0cc8b93b8223d65f24aaccba78c888502d04df | 892 | py | Python | 2015/MAC0327/Desafios 2/p11.py | andredalton/bcc | 188190e436615e2344d87b722856fa02e6eec9cc | [
"Apache-2.0"
] | 1 | 2018-08-02T14:09:26.000Z | 2018-08-02T14:09:26.000Z | 2015/MAC0327/Desafios 2/p11.py | andredalton/bcc | 188190e436615e2344d87b722856fa02e6eec9cc | [
"Apache-2.0"
] | null | null | null | 2015/MAC0327/Desafios 2/p11.py | andredalton/bcc | 188190e436615e2344d87b722856fa02e6eec9cc | [
"Apache-2.0"
] | 1 | 2020-07-13T04:27:02.000Z | 2020-07-13T04:27:02.000Z | # coding=utf-8
__author__ = 'André Meneghelli'
"""
/*******************************************************************************
* Aluno: André Meneghelli Vale, Núm. USP: 4898948
* Curso: Bacharelado em Ciências da Computação
* Aula 13 - Stone Pile
* MAC0327 -- IME/USP, -- Prof. Cristina Gomes Fernandes
... | 22.3 | 80 | 0.48991 | # coding=utf-8
__author__ = 'André Meneghelli'
"""
/*******************************************************************************
* Aluno: André Meneghelli Vale, Núm. USP: 4898948
* Curso: Bacharelado em Ciências da Computação
* Aula 13 - Stone Pile
* MAC0327 -- IME/USP, -- Prof. Cristina Gomes Fernandes
... | 389 | 0 | 46 |
cd67696b0ec1ee40fb689af2c3c02ad3ecc6be4e | 5,014 | py | Python | model.py | abhitrip/Behavioral-Cloning | 9930dc7fc2e6623954f84859b7d011905cd48d30 | [
"MIT"
] | null | null | null | model.py | abhitrip/Behavioral-Cloning | 9930dc7fc2e6623954f84859b7d011905cd48d30 | [
"MIT"
] | null | null | null | model.py | abhitrip/Behavioral-Cloning | 9930dc7fc2e6623954f84859b7d011905cd48d30 | [
"MIT"
] | null | null | null | import csv
import matplotlib.image as mpimg
import pickle
import numpy as np
from keras.models import Sequential
from keras.layers.core import Flatten,Lambda,Dense
from keras.layers.convolutional import Cropping2D,Conv2D
from keras import backend as K
from keras.layers.core import Activation
import matplotlib.image a... | 25.451777 | 89 | 0.632429 | import csv
import matplotlib.image as mpimg
import pickle
import numpy as np
from keras.models import Sequential
from keras.layers.core import Flatten,Lambda,Dense
from keras.layers.convolutional import Cropping2D,Conv2D
from keras import backend as K
from keras.layers.core import Activation
import matplotlib.image a... | 3,085 | 0 | 158 |
43ba3750ab55b89ed9e0505f5404d4b28171dd33 | 1,647 | py | Python | src/downward/experiments/issue739/v5-translate.py | ScarfZapdos/conan-bge-questgen | 4d184c5bf0ae4b768b8043cec586395df9ce1451 | [
"MIT"
] | 1 | 2021-09-09T13:03:02.000Z | 2021-09-09T13:03:02.000Z | src/downward/experiments/issue739/v5-translate.py | ScarfZapdos/conan-bge-questgen | 4d184c5bf0ae4b768b8043cec586395df9ce1451 | [
"MIT"
] | null | null | null | src/downward/experiments/issue739/v5-translate.py | ScarfZapdos/conan-bge-questgen | 4d184c5bf0ae4b768b8043cec586395df9ce1451 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DI... | 35.042553 | 178 | 0.756527 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DI... | 0 | 0 | 0 |
6ba0b5003d4c97df676dbfc10dff603b15cd48d9 | 506 | py | Python | mplscience/__init__.py | adamgayoso/mpscience | 0401ded920a4d09314e9a747cf4da07d17a60a05 | [
"MIT"
] | 4 | 2021-07-15T16:55:24.000Z | 2022-03-04T23:10:02.000Z | mplscience/__init__.py | adamgayoso/mpscience | 0401ded920a4d09314e9a747cf4da07d17a60a05 | [
"MIT"
] | null | null | null | mplscience/__init__.py | adamgayoso/mpscience | 0401ded920a4d09314e9a747cf4da07d17a60a05 | [
"MIT"
] | null | null | null | """Matplotlib science style"""
from .core import available_styles, set_style, style_context
# https://github.com/python-poetry/poetry/pull/2366#issuecomment-652418094
# https://github.com/python-poetry/poetry/issues/144#issuecomment-623927302
try:
import importlib.metadata as importlib_metadata
except ModuleNotFo... | 31.625 | 75 | 0.804348 | """Matplotlib science style"""
from .core import available_styles, set_style, style_context
# https://github.com/python-poetry/poetry/pull/2366#issuecomment-652418094
# https://github.com/python-poetry/poetry/issues/144#issuecomment-623927302
try:
import importlib.metadata as importlib_metadata
except ModuleNotFo... | 0 | 0 | 0 |
3a06da5ff6c0053e4dc72e9a222d828921a7534c | 4,153 | py | Python | template/templates.py | dkratzert/FinalCif | 07ca23dbb4e7439b108a906521a118cdb876d97e | [
"Beerware"
] | 13 | 2020-01-14T16:23:48.000Z | 2022-02-16T18:02:08.000Z | template/templates.py | dkratzert/FinalCif | 07ca23dbb4e7439b108a906521a118cdb876d97e | [
"Beerware"
] | 24 | 2021-04-21T05:30:42.000Z | 2022-03-31T20:07:29.000Z | template/templates.py | dkratzert/FinalCif | 07ca23dbb4e7439b108a906521a118cdb876d97e | [
"Beerware"
] | 1 | 2021-08-09T16:48:33.000Z | 2021-08-09T16:48:33.000Z | from contextlib import suppress
from pathlib import Path
from typing import List
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import QFileDialog, QListWidgetItem
with suppress(ImportError):
from appwindow import AppWindow
from tools.settings import FinalCifSettings
class Repor... | 44.180851 | 120 | 0.666265 | from contextlib import suppress
from pathlib import Path
from typing import List
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import QFileDialog, QListWidgetItem
with suppress(ImportError):
from appwindow import AppWindow
from tools.settings import FinalCifSettings
class Repor... | 3,553 | 0 | 189 |
10d8540be113dbd61336aecade22ee5448341df6 | 2,648 | py | Python | guillotina_cms/api/search.py | alteroo/guillotina_cms | a8ea0efd2ad4f4ab9fab484fe55f41abd37cdac8 | [
"BSD-2-Clause"
] | null | null | null | guillotina_cms/api/search.py | alteroo/guillotina_cms | a8ea0efd2ad4f4ab9fab484fe55f41abd37cdac8 | [
"BSD-2-Clause"
] | null | null | null | guillotina_cms/api/search.py | alteroo/guillotina_cms | a8ea0efd2ad4f4ab9fab484fe55f41abd37cdac8 | [
"BSD-2-Clause"
] | null | null | null | from guillotina import configure
from guillotina.catalog.utils import parse_query
from guillotina.interfaces import IResource
from guillotina.utils import find_container
from guillotina_cms.utils import get_search_utility
import itertools
from collections import Counter
@configure.service(
context=IResource, meth... | 28.782609 | 95 | 0.574018 | from guillotina import configure
from guillotina.catalog.utils import parse_query
from guillotina.interfaces import IResource
from guillotina.utils import find_container
from guillotina_cms.utils import get_search_utility
import itertools
from collections import Counter
@configure.service(
context=IResource, meth... | 1,595 | 0 | 44 |
a01a3506d1d2788ace0fce8ccd2fde5aaaddd30d | 505 | py | Python | modules/img2Vector.py | cycoe/class_robber | 968e493481e1dfa06a806d6382413871a4856f31 | [
"MIT"
] | 3 | 2018-09-19T14:55:43.000Z | 2019-03-12T01:07:05.000Z | modules/img2Vector.py | cycoe/class_robber | 968e493481e1dfa06a806d6382413871a4856f31 | [
"MIT"
] | 1 | 2020-12-14T11:56:10.000Z | 2020-12-14T12:31:37.000Z | modules/img2Vector.py | cycoe/class_robber | 968e493481e1dfa06a806d6382413871a4856f31 | [
"MIT"
] | null | null | null | import os
from PIL import Image
| 24.047619 | 62 | 0.554455 | import os
from PIL import Image
def img2Vector(imgPath):
fullVector = []
vectorList = []
img = Image.open(imgPath)
img = img.convert('RGBA')
pixdata = img.load()
for x in range(img.size[0]):
for y in range(img.size[1]):
if pixdata[x, y] == (0, 0, 153, 255):
... | 449 | 0 | 23 |
6aa55d8d1800c23e9910fd1b02e8951e054760f8 | 4,126 | py | Python | tests/test_random_walk.py | SwamyDev/gym-quickcheck | d271f509c11998c9f210c5d8131906f712553123 | [
"MIT"
] | null | null | null | tests/test_random_walk.py | SwamyDev/gym-quickcheck | d271f509c11998c9f210c5d8131906f712553123 | [
"MIT"
] | null | null | null | tests/test_random_walk.py | SwamyDev/gym-quickcheck | d271f509c11998c9f210c5d8131906f712553123 | [
"MIT"
] | null | null | null | import numpy as np
import pytest
from gym import utils
from more_itertools import last
from gym_quickcheck.envs import RandomWalkEnv
from tests.aux import assert_that, follows_contract, assert_obs_eq, unpack_reward, unpack_obs, unpack_done, until_done, \
run_example
@pytest.fixture
@pytest.fixture
@pytest.fi... | 30.338235 | 121 | 0.741638 | import numpy as np
import pytest
from gym import utils
from more_itertools import last
from gym_quickcheck.envs import RandomWalkEnv
from tests.aux import assert_that, follows_contract, assert_obs_eq, unpack_reward, unpack_obs, unpack_done, until_done, \
run_example
@pytest.fixture
def env():
return RandomWa... | 3,144 | 0 | 521 |
1815a1cfdf441bab8f5c07943254b362f00a655f | 163 | py | Python | celery/settings.py | alculquicondor/AmigoCloud-IGP-Sync | 56de7e9137340054159289ef9c6534bb1b5872fc | [
"MIT"
] | null | null | null | celery/settings.py | alculquicondor/AmigoCloud-IGP-Sync | 56de7e9137340054159289ef9c6534bb1b5872fc | [
"MIT"
] | null | null | null | celery/settings.py | alculquicondor/AmigoCloud-IGP-Sync | 56de7e9137340054159289ef9c6534bb1b5872fc | [
"MIT"
] | null | null | null | from os import environ
TOKEN = environ.get('AMIGOCLOUD_TOKEN')
BROKER_URL = environ.get('BROKER_URL')
PROJECT_URL = 'users/475/projects/13608'
DATASET_ID = 79746
| 23.285714 | 40 | 0.779141 | from os import environ
TOKEN = environ.get('AMIGOCLOUD_TOKEN')
BROKER_URL = environ.get('BROKER_URL')
PROJECT_URL = 'users/475/projects/13608'
DATASET_ID = 79746
| 0 | 0 | 0 |
855c72651aff3902ac92bec1942941cff9cf4170 | 342 | py | Python | scripts/twist_remapper.py | tamago117/kcctsim | 0cd72c79ade6be48ad59fb9cfb202dcbe8de69cf | [
"Apache-2.0"
] | 1 | 2021-11-25T07:53:53.000Z | 2021-11-25T07:53:53.000Z | scripts/twist_remapper.py | tamago117/kcctsim | 0cd72c79ade6be48ad59fb9cfb202dcbe8de69cf | [
"Apache-2.0"
] | 1 | 2021-09-09T06:34:32.000Z | 2021-11-02T11:49:00.000Z | scripts/twist_remapper.py | tamago117/kcctsim | 0cd72c79ade6be48ad59fb9cfb202dcbe8de69cf | [
"Apache-2.0"
] | 2 | 2021-10-01T13:43:58.000Z | 2021-11-25T07:53:54.000Z | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
pub = rospy.Publisher("/diff_drive_controller/cmd_vel", Twist, queue_size = 10)
if __name__ == '__main__':
rospy.init_node('twist_remapper', anonymous=True)
rospy.Subscriber("/cmd_vel", Twist, callback)
rospy.spin() | 28.5 | 79 | 0.733918 | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
pub = rospy.Publisher("/diff_drive_controller/cmd_vel", Twist, queue_size = 10)
def callback(data):
pub.publish(data)
if __name__ == '__main__':
rospy.init_node('twist_remapper', anonymous=True)
rospy.Subscriber("/cmd_vel", Twist, call... | 20 | 0 | 22 |
860f3238dfabe5abdc4b560671b0f41979c23fa1 | 48,472 | py | Python | qiskit/visualization/matplotlib.py | quantumjim/qiskit-terra | 5292f487eaa980986a1e5affae8c4fc50c743e71 | [
"Apache-2.0"
] | 1 | 2019-12-09T08:25:14.000Z | 2019-12-09T08:25:14.000Z | qiskit/visualization/matplotlib.py | quantumjim/qiskit-terra | 5292f487eaa980986a1e5affae8c4fc50c743e71 | [
"Apache-2.0"
] | 1 | 2020-03-29T19:57:14.000Z | 2020-03-29T21:49:25.000Z | qiskit/visualization/matplotlib.py | quantumjim/qiskit-terra | 5292f487eaa980986a1e5affae8c4fc50c743e71 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 41.894555 | 100 | 0.444875 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 46,257 | 682 | 180 |
a7cf222e3f96762239244a7b076603c3ca2e33f3 | 946 | py | Python | sjpClass.py | alkamid/wiktionary | ce242da609a1001ae7462b07da2f6e83f1a7281b | [
"MIT"
] | 3 | 2015-01-06T22:00:22.000Z | 2016-08-14T08:07:32.000Z | sjpClass.py | alkamid/wiktionary | ce242da609a1001ae7462b07da2f6e83f1a7281b | [
"MIT"
] | 56 | 2015-07-12T10:21:38.000Z | 2020-02-23T18:51:01.000Z | sjpClass.py | alkamid/wiktionary | ce242da609a1001ae7462b07da2f6e83f1a7281b | [
"MIT"
] | 2 | 2015-01-06T21:25:06.000Z | 2018-01-17T12:03:17.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import pywikibot
| 27.823529 | 136 | 0.609937 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import pywikibot
class kategoriaSlowa():
def __init__(self, name, counter, pages, tabelka, outputFile):
self.name = name
self.counter = counter
self.pages = 'Wikipedysta:AlkamidBot/sjp/' + pages
self.buffer = ''
self.tabelka = tabel... | 786 | 2 | 98 |
8b6ebb32e27f26c072b135c85ff8fb1b572ad23d | 2,446 | py | Python | tests/test_filters.py | mobius-medical/flask-genshi | 68cba6c9cb604272a25f5e4c74e5a127e3ac7854 | [
"BSD-3-Clause"
] | null | null | null | tests/test_filters.py | mobius-medical/flask-genshi | 68cba6c9cb604272a25f5e4c74e5a127e3ac7854 | [
"BSD-3-Clause"
] | null | null | null | tests/test_filters.py | mobius-medical/flask-genshi | 68cba6c9cb604272a25f5e4c74e5a127e3ac7854 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from inspect import cleandoc
from genshi.filters import Transformer
from flask_genshi import render_template
from flatland.out.genshi import setup as flatland_setup
from flatland import Form, String
def test_applies_method_filters(app):
"""Method filters are applied for ... | 31.766234 | 102 | 0.629599 | from __future__ import unicode_literals
from inspect import cleandoc
from genshi.filters import Transformer
from flask_genshi import render_template
from flatland.out.genshi import setup as flatland_setup
from flatland import Form, String
class FlatlandForm(Form):
username = String
def test_applies_method_fi... | 218 | 27 | 114 |
978ff0be8e3774dfa21908c9b4b49bc92d1eeb4e | 3,159 | py | Python | forms/models.py | ditttu/gymkhana-Nominations | 2a0e993c1b8362c456a9369b0b549d1c809a21df | [
"MIT"
] | 3 | 2018-02-27T13:48:28.000Z | 2018-03-03T21:57:50.000Z | forms/models.py | ditttu/gymkhana-Nominations | 2a0e993c1b8362c456a9369b0b549d1c809a21df | [
"MIT"
] | 6 | 2020-02-12T00:07:46.000Z | 2022-03-11T23:25:59.000Z | forms/models.py | ditttu/gymkhana-Nominations | 2a0e993c1b8362c456a9369b0b549d1c809a21df | [
"MIT"
] | 1 | 2019-03-26T20:19:57.000Z | 2019-03-26T20:19:57.000Z | from django.db import models
from django import forms
from django.contrib.auth.models import User
from .form_dynamic import NominationForm
import json
FIELD_TYPES = (
('Short_answer', forms.CharField),
('Paragraph', forms.CharField),
('Integer', forms.IntegerField),
('ChoiceField', forms.ChoiceField)... | 28.981651 | 120 | 0.660336 | from django.db import models
from django import forms
from django.contrib.auth.models import User
from .form_dynamic import NominationForm
import json
class Questionnaire(models.Model):
name = models.CharField(max_length=100, null=True)
def __unicode__(self):
return self.name
def __str__(self):
... | 1,490 | 940 | 69 |
c910c09445a0e65ba2545dbe1c4a46731ae345b6 | 4,099 | py | Python | degmo/data/datasets.py | IcarusWizard/Deep-Generative-Models | 4117c11ad944bdeff106a80adbb3642a076af64e | [
"MIT"
] | 2 | 2019-11-21T15:50:59.000Z | 2019-12-17T02:44:19.000Z | degmo/data/datasets.py | IcarusWizard/Deep-Generative-Models | 4117c11ad944bdeff106a80adbb3642a076af64e | [
"MIT"
] | null | null | null | degmo/data/datasets.py | IcarusWizard/Deep-Generative-Models | 4117c11ad944bdeff106a80adbb3642a076af64e | [
"MIT"
] | 1 | 2021-07-02T05:49:29.000Z | 2021-07-02T05:49:29.000Z | import numpy as np
import torch, torchvision, math
from torch.functional import F
import os
import PIL.Image as Image
from functools import partial
DATADIR = 'dataset/'
load_celeba32 = partial(load_celeba, image_size=32)
load_celeba64 = partial(load_celeba, image_size=64)
load_celeba128 = partial(load_celeba, image_s... | 37.263636 | 112 | 0.68041 | import numpy as np
import torch, torchvision, math
from torch.functional import F
import os
import PIL.Image as Image
from functools import partial
DATADIR = 'dataset/'
class ImageDataset(torch.utils.data.Dataset):
def __init__(self, root, transform=None):
super().__init__()
self.root = root
... | 3,525 | 24 | 222 |
1a3578a56a4bccb214d3e2c35a83b6e6b51851e2 | 57,483 | py | Python | basistheory/api/tenants_api.py | Basis-Theory/basistheory-python | 5fd0f3d20fd07e8de45d6d5919e092c696049df1 | [
"Apache-2.0"
] | null | null | null | basistheory/api/tenants_api.py | Basis-Theory/basistheory-python | 5fd0f3d20fd07e8de45d6d5919e092c696049df1 | [
"Apache-2.0"
] | null | null | null | basistheory/api/tenants_api.py | Basis-Theory/basistheory-python | 5fd0f3d20fd07e8de45d6d5919e092c696049df1 | [
"Apache-2.0"
] | null | null | null | """
Basis Theory API
## Getting Started * Sign-in to [Basis Theory](https://basistheory.com) and go to [Applications](https://portal.basistheory.com/applications) * Create a Basis Theory Server to Server Application * All permissions should be selected * Paste the API Key into the `BT-API-KEY` variable # noqa... | 37.768068 | 300 | 0.517736 | """
Basis Theory API
## Getting Started * Sign-in to [Basis Theory](https://basistheory.com) and go to [Applications](https://portal.basistheory.com/applications) * Create a Basis Theory Server to Server Application * All permissions should be selected * Paste the API Key into the `BT-API-KEY` variable # noqa... | 16,455 | 0 | 27 |
2b5c325a1726de056d5d1198acc3940aef23c363 | 3,454 | py | Python | custom_components/nwsradar/config_flow.py | MatthewFlamm/ha_nws_radar | f039bf1abb94a48232599746f80d4c7e4af35de7 | [
"MIT"
] | 21 | 2019-07-18T23:38:22.000Z | 2021-01-08T01:14:44.000Z | custom_components/nwsradar/config_flow.py | MatthewFlamm/ha_nws_radar | f039bf1abb94a48232599746f80d4c7e4af35de7 | [
"MIT"
] | 7 | 2019-09-06T13:14:49.000Z | 2020-12-18T17:49:34.000Z | custom_components/nwsradar/config_flow.py | MatthewFlamm/ha_nws_radar | f039bf1abb94a48232599746f80d4c7e4af35de7 | [
"MIT"
] | 2 | 2019-07-26T21:23:59.000Z | 2020-01-14T23:03:12.000Z | """Config flow for National Weather Service (NWS) integration."""
import logging
import voluptuous as vol
from nws_radar.nws_radar_mosaic import REGIONS
from homeassistant import config_entries
from . import unique_id
# pylint: disable=unused-import
from .const import (
CONF_LOOP,
CONF_STATION,
CONF_STY... | 32.895238 | 87 | 0.621888 | """Config flow for National Weather Service (NWS) integration."""
import logging
import voluptuous as vol
from nws_radar.nws_radar_mosaic import REGIONS
from homeassistant import config_entries
from . import unique_id
# pylint: disable=unused-import
from .const import (
CONF_LOOP,
CONF_STATION,
CONF_STY... | 0 | 0 | 0 |
e288a19792ad0dab33c86bbab35d030926f6a073 | 2,944 | py | Python | xinci/model.py | Lapis-Hong/xinci | 9234ef6e426dfa282c334ff79f4f76b475eb10f3 | [
"MIT"
] | 23 | 2018-06-18T15:35:47.000Z | 2021-07-28T02:19:16.000Z | xinci/model.py | Lapis-Hong/xinci | 9234ef6e426dfa282c334ff79f4f76b475eb10f3 | [
"MIT"
] | null | null | null | xinci/model.py | Lapis-Hong/xinci | 9234ef6e426dfa282c334ff79f4f76b475eb10f3 | [
"MIT"
] | 10 | 2018-06-20T07:01:17.000Z | 2020-08-31T15:56:24.000Z | #!/usr/bin/env python
# coding: utf-8
# @Author: lapis-hong
# @Date : 2018/6/17
"""This module contains the main algorithm for chinese word extraction.
criterion 1:
solid rate
criterion 2:
character entropy
"""
from __future__ import unicode_literals
from __future__ import division
import math
from indexer i... | 37.74359 | 108 | 0.66712 | #!/usr/bin/env python
# coding: utf-8
# @Author: lapis-hong
# @Date : 2018/6/17
"""This module contains the main algorithm for chinese word extraction.
criterion 1:
solid rate
criterion 2:
character entropy
"""
from __future__ import unicode_literals
from __future__ import division
import math
from indexer i... | 1,657 | 0 | 81 |
86c4428f80dd80644e84963f60d1a11c38e4a4c2 | 561 | py | Python | Machine_Learning/ZCSNumpy.py | ZuoCaiSong/Python | 137d1c4c79f9594b9bc2c7dc7728246e697f1329 | [
"MIT"
] | null | null | null | Machine_Learning/ZCSNumpy.py | ZuoCaiSong/Python | 137d1c4c79f9594b9bc2c7dc7728246e697f1329 | [
"MIT"
] | null | null | null | Machine_Learning/ZCSNumpy.py | ZuoCaiSong/Python | 137d1c4c79f9594b9bc2c7dc7728246e697f1329 | [
"MIT"
] | null | null | null | #! usr/bin/env python
# -*- coding:utf-8 -*-
"""
基础篇
"""
from numpy import *
'''
NumPy的主要对象是同种元素的多维数组。
这是一个所有的元素都是一种类型、通过一个正整数元组索引的元素表格(通常是元素是数字)
'''
'''
NumPy中维度(dimensions)叫做轴(axes)，轴的个数叫做秩(rank)。
'''
#eg:
'''
在3D空间一个点的坐标 [1,2,3]
是一个秩为1的数组，它只有一个轴，轴的长度为3
'''
#注意直接写，他的类型不是一个ndarray，是一个list，此处只是用于举例说明秩
arr2 = [[1,0,... | 13.357143 | 44 | 0.682709 | #! usr/bin/env python
# -*- coding:utf-8 -*-
"""
基础篇
"""
from numpy import *
'''
NumPy的主要对象是同种元素的多维数组。
这是一个所有的元素都是一种类型、通过一个正整数元组索引的元素表格(通常是元素是数字)
'''
'''
NumPy中维度(dimensions)叫做轴(axes)，轴的个数叫做秩(rank)。
'''
#eg:
'''
在3D空间一个点的坐标 [1,2,3]
是一个秩为1的数组，它只有一个轴，轴的长度为3
'''
#注意直接写，他的类型不是一个ndarray，是一个list，此处只是用于举例说明秩
arr2 = [[1,0,... | 0 | 0 | 0 |
077630693a28af4ea5bf434f4de1bcb506757b3e | 1,696 | py | Python | tests/unit/test_fileclient.py | jubrad/salt | 7960334fb726cfde45e6409da79a65535c626685 | [
"Apache-2.0"
] | 1 | 2020-01-02T09:03:21.000Z | 2020-01-02T09:03:21.000Z | tests/unit/test_fileclient.py | jubrad/salt | 7960334fb726cfde45e6409da79a65535c626685 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_fileclient.py | jubrad/salt | 7960334fb726cfde45e6409da79a65535c626685 | [
"Apache-2.0"
] | 1 | 2020-01-02T09:03:24.000Z | 2020-01-02T09:03:24.000Z | # -*- coding: utf-8 -*-
'''
:codeauthor: :email: `Bo Maryniuk <bo@suse.de>`
'''
# Import Python libs
from __future__ import absolute_import
import errno
# Import Salt Testing libs
from tests.support.mock import patch, Mock
from tests.support.unit import TestCase
# Import Salt libs
from salt.ext.six.moves import ... | 32.615385 | 82 | 0.628538 | # -*- coding: utf-8 -*-
'''
:codeauthor: :email: `Bo Maryniuk <bo@suse.de>`
'''
# Import Python libs
from __future__ import absolute_import
import errno
# Import Salt Testing libs
from tests.support.mock import patch, Mock
from tests.support.unit import TestCase
# Import Salt libs
from salt.ext.six.moves import ... | 166 | 0 | 27 |
9e5a009aa9aeb584ea41f3acb660d59e05af5898 | 11,072 | py | Python | prepare_datasets.py | Jakob-Bach/Meta-Learning-Feature-Importance | 089e5c7a5be91307f747e00b38b1567386fbee16 | [
"MIT"
] | null | null | null | prepare_datasets.py | Jakob-Bach/Meta-Learning-Feature-Importance | 089e5c7a5be91307f747e00b38b1567386fbee16 | [
"MIT"
] | null | null | null | prepare_datasets.py | Jakob-Bach/Meta-Learning-Feature-Importance | 089e5c7a5be91307f747e00b38b1567386fbee16 | [
"MIT"
] | null | null | null | """Prepare datasets
Script that:
- downloads, pre-processes, and saves base datasets from OpenML
- computes meta-features
- computes meta-targets (combining feature-importance measures and base models)
- saves the meta-datasets
Usage: python -m prepare_datasets --help
"""
import argparse
import multiprocessing
impor... | 58.582011 | 110 | 0.694906 | """Prepare datasets
Script that:
- downloads, pre-processes, and saves base datasets from OpenML
- computes meta-features
- computes meta-targets (combining feature-importance measures and base models)
- saves the meta-datasets
Usage: python -m prepare_datasets --help
"""
import argparse
import multiprocessing
impor... | 7,730 | 0 | 132 |
3f79f678ffc367e4156a50c0372bba0efcd118d0 | 4,749 | py | Python | mywebsocket.py | malengelajosue/app_flask | ea656abb859d8941e9a4761736f2a6ce4b91f7aa | [
"MIT"
] | null | null | null | mywebsocket.py | malengelajosue/app_flask | ea656abb859d8941e9a4761736f2a6ce4b91f7aa | [
"MIT"
] | null | null | null | mywebsocket.py | malengelajosue/app_flask | ea656abb859d8941e9a4761736f2a6ce4b91f7aa | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import signal
import sys
import tornado.ioloop
import tornado.web
import tornado.websocket
import tornado.wsgi as myapp_wsgi
from datetime import datetime
import time
import ast
import random
from datetime import date
from models.model import Sites
from models.model import Coordonnates
from mode... | 29.314815 | 169 | 0.620131 | #!/usr/bin/env python
import signal
import sys
import tornado.ioloop
import tornado.web
import tornado.websocket
import tornado.wsgi as myapp_wsgi
from datetime import datetime
import time
import ast
import random
from datetime import date
from models.model import Sites
from models.model import Coordonnates
from mode... | 3,139 | 36 | 238 |
ef071130d8e688b2bf7d1480cb9a43266fc55e27 | 4,576 | py | Python | compile.py | KValexander/compile-java-project | 62aab5ca9ec53705daa25a21875fc5c97e71db97 | [
"MIT"
] | null | null | null | compile.py | KValexander/compile-java-project | 62aab5ca9ec53705daa25a21875fc5c97e71db97 | [
"MIT"
] | null | null | null | compile.py | KValexander/compile-java-project | 62aab5ca9ec53705daa25a21875fc5c97e71db97 | [
"MIT"
] | null | null | null | import shutil
import os
import re
from tkinter import *
# Storage
concat = ""
assets = []
startclass = ""
# Static config
config = {
"javapath": "java",
"classpath": "class",
"sourcetxt": "source.txt",
"compilebat": "compile.bat",
"startclass": "Main.class",
"runbat": "run.bat",
"copyassets": "true"
}
# Gett... | 26 | 138 | 0.674825 | import shutil
import os
import re
from tkinter import *
# Storage
concat = ""
assets = []
startclass = ""
# Static config
config = {
"javapath": "java",
"classpath": "class",
"sourcetxt": "source.txt",
"compilebat": "compile.bat",
"startclass": "Main.class",
"runbat": "run.bat",
"copyassets": "true"
}
# Gett... | 3,423 | 0 | 176 |
6d79c61a4cd03cad002390bea3fef1d83f0bef83 | 601 | py | Python | multiprocessing_module/multiprocessing_test2.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | 1 | 2019-02-24T09:57:16.000Z | 2019-02-24T09:57:16.000Z | multiprocessing_module/multiprocessing_test2.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | null | null | null | multiprocessing_module/multiprocessing_test2.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | 4 | 2017-05-21T15:34:53.000Z | 2018-09-25T06:56:15.000Z | #! /usr/bin/env python3
# -*- coding:utf-8 -*-
###############################################################
# © kenwaldek MIT-license
#
# Title: multiprocessing 2 Version: 1.0
# Date: 30-12-16 Language: python3
# Description: multiprocessing dus m... | 25.041667 | 63 | 0.44426 | #! /usr/bin/env python3
# -*- coding:utf-8 -*-
###############################################################
# © kenwaldek MIT-license
#
# Title: multiprocessing 2 Version: 1.0
# Date: 30-12-16 Language: python3
# Description: multiprocessing dus m... | 11 | 0 | 23 |
d0f18eb34b3ac7f1fbda4ccdac297a8ef889417b | 1,088 | py | Python | leetcode-python/num002.py | shuaizi/leetcode | c943410575f380a00335bf5ac8d361af53a92d78 | [
"Apache-2.0"
] | null | null | null | leetcode-python/num002.py | shuaizi/leetcode | c943410575f380a00335bf5ac8d361af53a92d78 | [
"Apache-2.0"
] | null | null | null | leetcode-python/num002.py | shuaizi/leetcode | c943410575f380a00335bf5ac8d361af53a92d78 | [
"Apache-2.0"
] | null | null | null | __author__ = 'shuai'
l1 = ListNode(2)
l1.next = ListNode(4)
l1.next.next = ListNode(3)
l2 = ListNode(5)
l2.next = ListNode(6)
l2.next.next = ListNode(4)
sol = Solution()
sol.addTwoNumbers(l1, l2) | 23.148936 | 45 | 0.465074 | __author__ = 'shuai'
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def addTwoNumbers(self, l1, l2):
"""
:type l1: ListNode
:type l2: ListNode
:rtype: ListNode
"""
ret = ListNode(0)
... | 49 | 768 | 73 |
b5b7dbcb1ba016b3352ed24c0000b521b5f7e7a1 | 116 | py | Python | some/path/to/app/Class3.py | CameronHudson8/python-implicit-namespace-packages | 80dc55ab31ef43d4cbf57ce68ee3c89a14cd534d | [
"Apache-2.0"
] | null | null | null | some/path/to/app/Class3.py | CameronHudson8/python-implicit-namespace-packages | 80dc55ab31ef43d4cbf57ce68ee3c89a14cd534d | [
"Apache-2.0"
] | null | null | null | some/path/to/app/Class3.py | CameronHudson8/python-implicit-namespace-packages | 80dc55ab31ef43d4cbf57ce68ee3c89a14cd534d | [
"Apache-2.0"
] | null | null | null | from module1.Class1 import Class1
| 14.5 | 40 | 0.672414 | from module1.Class1 import Class1
class Class3:
def __init__(self):
self.helper = Class1('hola-bot')
| 39 | -8 | 50 |