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dbc4c3310857e85d9121fdbadd2b16c4be0bc6f2 | 5,045 | py | Python | django_op/oidc_op/users.py | peppelinux/oidc-op | c0385b5cbdb48fe2f74a556174d26444a48e6bed | [
"Apache-2.0"
] | 1 | 2020-09-30T13:07:48.000Z | 2020-09-30T13:07:48.000Z | django_op/oidc_op/users.py | peppelinux/oidc-op | c0385b5cbdb48fe2f74a556174d26444a48e6bed | [
"Apache-2.0"
] | null | null | null | django_op/oidc_op/users.py | peppelinux/oidc-op | c0385b5cbdb48fe2f74a556174d26444a48e6bed | [
"Apache-2.0"
] | null | null | null |
from django.contrib.auth import get_user_model
| 34.319728 | 96 | 0.595639 | import copy
from django.contrib.auth import authenticate, get_user_model
from django.contrib.auth import get_user_model
from django.template.loader import render_to_string
from oidcendpoint.util import instantiate
from oidcendpoint.user_authn.user import (create_signed_jwt,
v... | 0 | 0 | 0 | 4,602 | 0 | 0 | 0 | 214 | 179 |
b88cd470cbd6ea92ae15dc576cddd38972675cdd | 2,608 | py | Python | foxylib/tools/native/typing/typing_tool.py | foxytrixy-com/foxylib | 94b8c5b9f8b12423393c68f7d9f910258840ed18 | [
"BSD-3-Clause"
] | null | null | null | foxylib/tools/native/typing/typing_tool.py | foxytrixy-com/foxylib | 94b8c5b9f8b12423393c68f7d9f910258840ed18 | [
"BSD-3-Clause"
] | 3 | 2019-12-12T05:17:44.000Z | 2022-03-11T23:40:50.000Z | foxylib/tools/native/typing/typing_tool.py | foxytrixy-com/foxylib | 94b8c5b9f8b12423393c68f7d9f910258840ed18 | [
"BSD-3-Clause"
] | 2 | 2019-10-16T17:39:34.000Z | 2020-02-10T06:32:08.000Z | from typing import TypeVar
T = TypeVar("T")
| 24.603774 | 74 | 0.609663 | from collections import Hashable
from typing import Union, Any, TypeVar, Optional, Tuple, List
from foxylib.tools.native.typing._typing_tool_helper import is_instance, \
is_subtype, is_generic
T = TypeVar("T")
class TypingTool:
class NotAnnotationError(Exception):
pass
@classmethod
def pair... | 0 | 2,127 | 0 | 239 | 0 | 0 | 0 | 126 | 68 |
4e3ee5226a352745afd75a2808d1f691fc9cc9b1 | 2,512 | py | Python | MoleculeMOTScripts/optimas/motmaster_wrapper.py | ColdMatter/EDMSuite | 80a8bc0f3fd9d33a081f606707140de51512b28a | [
"MIT"
] | 6 | 2017-02-02T17:54:23.000Z | 2021-07-03T12:41:36.000Z | MoleculeMOTScripts/optimas/motmaster_wrapper.py | ColdMatter/EDMSuite | 80a8bc0f3fd9d33a081f606707140de51512b28a | [
"MIT"
] | null | null | null | MoleculeMOTScripts/optimas/motmaster_wrapper.py | ColdMatter/EDMSuite | 80a8bc0f3fd9d33a081f606707140de51512b28a | [
"MIT"
] | 11 | 2015-03-19T18:23:38.000Z | 2021-02-18T11:05:51.000Z | from __future__ import print_function
import clr
import sys
from System.IO import Path
import time
sys.path.append(Path.GetFullPath("C:\\ControlPrograms\\EDMSuite\\MOTMaster\\bin\\CaF\\"))
clr.AddReference("C:\\ControlPrograms\\EDMSuite\\MOTMaster\\bin\\CaF\\MOTMaster.exe")
sys.path.append(Path.GetFullPath("C:\\Cont... | 36.941176 | 130 | 0.789013 | from __future__ import print_function
import clr
import sys
from System.IO import Path
import time
sys.path.append(Path.GetFullPath("C:\\ControlPrograms\\EDMSuite\\MOTMaster\\bin\\CaF\\"))
clr.AddReference("C:\\ControlPrograms\\EDMSuite\\MOTMaster\\bin\\CaF\\MOTMaster.exe")
sys.path.append(Path.GetFullPath("C:\\Cont... | 0 | 0 | 0 | 0 | 0 | 694 | 0 | 87 | 354 |
978386cf7120391264f4a613312715b934b28b6f | 1,383 | py | Python | pyverilog/utils/op2mark.py | stdavids/Pyverilog | a201b86e1d1b237d205dce897dc823725abcd79b | [
"Apache-2.0"
] | 4 | 2019-09-26T18:59:43.000Z | 2021-12-07T01:25:09.000Z | pyverilog/utils/op2mark.py | stdavids/Pyverilog | a201b86e1d1b237d205dce897dc823725abcd79b | [
"Apache-2.0"
] | 1 | 2022-01-30T12:30:01.000Z | 2022-01-30T12:30:01.000Z | pyverilog/utils/op2mark.py | stdavids/Pyverilog | a201b86e1d1b237d205dce897dc823725abcd79b | [
"Apache-2.0"
] | 2 | 2020-06-18T02:23:14.000Z | 2022-01-30T10:04:46.000Z | #-------------------------------------------------------------------------------
# op2mark.py
#
# converting an operator to its mark
#
# Copyright (C) 2013, Shinya Takamaeda-Yamazaki
# License: Apache 2.0
#-------------------------------------------------------------------------------
operator_mark = {
'Uminus':'... | 30.065217 | 80 | 0.415763 | #-------------------------------------------------------------------------------
# op2mark.py
#
# converting an operator to its mark
#
# Copyright (C) 2013, Shinya Takamaeda-Yamazaki
# License: Apache 2.0
#-------------------------------------------------------------------------------
operator_mark = {
'Uminus':'... | 0 | 0 | 0 | 0 | 0 | 155 | 0 | 0 | 46 |
0e81cd9725bccb7cfae13d7c944aa28d1ae47af7 | 727 | py | Python | script/dataset-txt-to-binary.py | rvs314/Montage | d4c49e66addefe947c03ff2bd0c463ebd2c34436 | [
"MIT"
] | 9 | 2020-10-04T22:03:31.000Z | 2021-10-08T01:52:57.000Z | script/dataset-txt-to-binary.py | rvs314/Montage | d4c49e66addefe947c03ff2bd0c463ebd2c34436 | [
"MIT"
] | 18 | 2020-10-20T02:39:12.000Z | 2021-08-30T00:23:32.000Z | script/dataset-txt-to-binary.py | rvs314/Montage | d4c49e66addefe947c03ff2bd0c463ebd2c34436 | [
"MIT"
] | 9 | 2020-10-04T22:06:11.000Z | 2021-02-19T17:23:17.000Z | #!/bin/python
import os
import re
import multiprocessing
pool = multiprocessing.Pool(multiprocessing.cpu_count())
for f in os.listdir('graph_data/'):
tmp = re.findall("orkut-edge-list_[0-9]+.txt", f)
if len(tmp) != 0:
pool.apply_async(work, (f,))
pool.close()
pool.join() | 26.925926 | 56 | 0.580468 | #!/bin/python
import sys
import os
import re
import multiprocessing
def work(f):
output = 'graph_data/' + f[:-4] + '.bin'
with open('graph_data/' + f) as i:
inputLines = i.readlines()
assert len(inputLines) > 0
with open(output, 'wb') as o:
for line in inputLines:
m = r... | 0 | 0 | 0 | 0 | 0 | 403 | 0 | -11 | 46 |
371254aa1ac49e4953c6a896823e19560b4024b9 | 3,900 | py | Python | waste/cli.py | tim-littlefair/tl-waste | 522110d049d77f0689feef66ad51894331521fce | [
"MIT"
] | null | null | null | waste/cli.py | tim-littlefair/tl-waste | 522110d049d77f0689feef66ad51894331521fce | [
"MIT"
] | null | null | null | waste/cli.py | tim-littlefair/tl-waste | 522110d049d77f0689feef66ad51894331521fce | [
"MIT"
] | null | null | null | # python3
# waste/cli.py
# Copyright Tim Littlefair 2020-
# This file is open source software under the MIT license.
# For terms of this license, see the file LICENSE in the source
# code distribution or visit
# https://opensource.org/licenses/mit-license.php
# This file defines the command line interface of the ... | 33.333333 | 89 | 0.634103 | # python3
# waste/cli.py
# Copyright Tim Littlefair 2020-
# This file is open source software under the MIT license.
# For terms of this license, see the file LICENSE in the source
# code distribution or visit
# https://opensource.org/licenses/mit-license.php
# This file defines the command line interface of the ... | 0 | 0 | 0 | 1,790 | 0 | 0 | 0 | -11 | 68 |
e7ef009d0fb5ad446ef872c0338222f7866a959e | 758 | py | Python | _gather_docs.py | gh640/shell-utils | 2bb23a1a4238ca812b7080ded8f687beca3bff4e | [
"MIT"
] | null | null | null | _gather_docs.py | gh640/shell-utils | 2bb23a1a4238ca812b7080ded8f687beca3bff4e | [
"MIT"
] | 6 | 2018-07-02T13:40:46.000Z | 2019-03-10T03:27:54.000Z | _gather_docs.py | gh640/shell-utils | 2bb23a1a4238ca812b7080ded8f687beca3bff4e | [
"MIT"
] | null | null | null | '''Gathers the module docs in `.py`.
'''
TARGET_SUFFIXES = ('.py',)
EXCLUDED_PREFIX = '_'
TEMPLATE_ITEM = '- `{}`: {}'
if __name__ == '__main__':
main()
| 20.486486 | 70 | 0.672823 | '''Gathers the module docs in `.py`.
'''
import importlib
from pathlib import Path
TARGET_SUFFIXES = ('.py',)
EXCLUDED_PREFIX = '_'
TEMPLATE_ITEM = '- `{}`: {}'
def main():
print_module_doc(x for x in get_entries_in_script_dir(is_target))
def get_entries_in_script_dir(rule):
path = Path(__file__).resolve(... | 0 | 0 | 0 | 0 | 0 | 459 | 0 | -2 | 137 |
33243a156837ff8e81b84b33b3fe60babe6f38c8 | 1,132 | py | Python | seriouslylib/iterable.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 104 | 2015-11-02T00:08:32.000Z | 2022-02-17T23:17:14.000Z | seriouslylib/iterable.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 68 | 2015-11-09T05:33:24.000Z | 2020-04-10T06:46:54.000Z | seriouslylib/iterable.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 25 | 2015-11-19T05:34:09.000Z | 2021-07-20T13:54:03.000Z | #!/usr/bin/env python3
| 31.444444 | 78 | 0.603357 | #!/usr/bin/env python3
from collections import deque as _deque
from collections import Iterable
from itertools import islice, zip_longest as izip
def as_list(val, wrap=True):
#strings are iterables all the way down, so an exception needs to be made
# else we get infinite recursion, which is bad
#... | 0 | 0 | 0 | 445 | 94 | 360 | 0 | 57 | 153 |
54cdc86a431feab1e8839c566bd4ed3eb49fab86 | 513 | py | Python | visualizeXY.py | Myunghee13/DSCI560_HW2 | b951a10f3fa0ad5807e980c3f172f8f66d7d3796 | [
"CC0-1.0"
] | null | null | null | visualizeXY.py | Myunghee13/DSCI560_HW2 | b951a10f3fa0ad5807e980c3f172f8f66d7d3796 | [
"CC0-1.0"
] | null | null | null | visualizeXY.py | Myunghee13/DSCI560_HW2 | b951a10f3fa0ad5807e980c3f172f8f66d7d3796 | [
"CC0-1.0"
] | null | null | null | # 1. c. Visualize the results
from pathlib import Path
import matplotlib.pyplot as plt
output_folder = Path("output")
# read intermediate results
with open(output_folder / "xNumbers.txt",'r') as f:
xNum = [int(ele.strip()) for ele in f.readlines()]
with open(output_folder / "yNumbers.txt",'r') as f:
yNum = ... | 22.304348 | 54 | 0.695906 | # 1. c. Visualize the results
from pathlib import Path
import matplotlib.pyplot as plt
output_folder = Path("output")
# read intermediate results
with open(output_folder / "xNumbers.txt",'r') as f:
xNum = [int(ele.strip()) for ele in f.readlines()]
with open(output_folder / "yNumbers.txt",'r') as f:
yNum = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8c47558185e3e4480a104cedaaf10616e8918a93 | 1,159 | py | Python | env/Lib/site-packages/pylint/__init__.py | aammjian/cotton | f72b814f795f79a4054688e465c8b0ae5560f3b7 | [
"Apache-2.0"
] | 33 | 2020-10-05T01:04:55.000Z | 2021-06-24T01:52:31.000Z | env/Lib/site-packages/pylint/__init__.py | aammjian/cotton | f72b814f795f79a4054688e465c8b0ae5560f3b7 | [
"Apache-2.0"
] | 14 | 2020-10-07T03:15:12.000Z | 2021-01-15T11:53:29.000Z | env/Lib/site-packages/pylint/__init__.py | aammjian/cotton | f72b814f795f79a4054688e465c8b0ae5560f3b7 | [
"Apache-2.0"
] | 11 | 2020-07-31T08:20:43.000Z | 2020-08-21T04:08:29.000Z | # Copyright (c) 2008, 2012 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr>
# Copyright (c) 2014, 2016-2020 Claudiu Popa <pcmanticore@gmail.com>
# Copyright (c) 2014 Arun Persaud <arun@nubati.net>
# Copyright (c) 2015 Ionel Cristian Maries <contact@ionelmc.ro>
# Copyright (c) 2018 Nick Drozd <nicholasdrozd@gmail.com>
... | 25.755556 | 80 | 0.719586 | # Copyright (c) 2008, 2012 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr>
# Copyright (c) 2014, 2016-2020 Claudiu Popa <pcmanticore@gmail.com>
# Copyright (c) 2014 Arun Persaud <arun@nubati.net>
# Copyright (c) 2015 Ionel Cristian Maries <contact@ionelmc.ro>
# Copyright (c) 2018 Nick Drozd <nicholasdrozd@gmail.com>
... | 0 | 0 | 0 | 0 | 0 | 197 | 0 | 32 | 69 |
95a47d457bca06a93badfbde56f90233f91eb246 | 1,172 | py | Python | scripts/tiffs_from_h5.py | glemaitre/hexrd | b68b1ba72e0f480d29bdaae2adbd6c6e2380cc7c | [
"BSD-3-Clause"
] | 27 | 2020-02-18T12:15:08.000Z | 2022-03-24T17:53:46.000Z | scripts/tiffs_from_h5.py | glemaitre/hexrd | b68b1ba72e0f480d29bdaae2adbd6c6e2380cc7c | [
"BSD-3-Clause"
] | 259 | 2020-02-02T22:18:29.000Z | 2022-03-30T19:59:58.000Z | scripts/tiffs_from_h5.py | glemaitre/hexrd | b68b1ba72e0f480d29bdaae2adbd6c6e2380cc7c | [
"BSD-3-Clause"
] | 11 | 2020-02-18T12:14:44.000Z | 2022-03-04T16:19:11.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 31 18:30:53 2019
@author: bernier2
"""
import os
import numpy as np
from hexrd import imageseries
from skimage import io
# dirs
working_dir = '/Users/Shared/APS/PUP_AFRL_Feb19'
image_dir = os.path.join(working_dir, 'image_data')
samp_name = '... | 17.757576 | 66 | 0.66041 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 31 18:30:53 2019
@author: bernier2
"""
import os
import numpy as np
from hexrd import imageseries
from skimage import io
# dirs
working_dir = '/Users/Shared/APS/PUP_AFRL_Feb19'
image_dir = os.path.join(working_dir, 'image_data')
samp_name = '... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
785bac4558f57f6693632e4bc7ad5d2d9a110e05 | 45 | py | Python | fHDHR/__init__.py | crackers8199/fHDHR_Locast | cad9cc0bf64f70bbcd2e702a938794d4eacad6cf | [
"WTFPL"
] | null | null | null | fHDHR/__init__.py | crackers8199/fHDHR_Locast | cad9cc0bf64f70bbcd2e702a938794d4eacad6cf | [
"WTFPL"
] | null | null | null | fHDHR/__init__.py | crackers8199/fHDHR_Locast | cad9cc0bf64f70bbcd2e702a938794d4eacad6cf | [
"WTFPL"
] | null | null | null | # coding=utf-8
fHDHR_VERSION = "v0.3.0-beta"
| 15 | 29 | 0.688889 | # coding=utf-8
fHDHR_VERSION = "v0.3.0-beta"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d52d54afc4948ea4b7febdfa8d2714599820780 | 2,781 | py | Python | test/test_compare_license_template_script.py | anshuldutt21/spdx_python_licensematching | a409d7e1d024bc64d13c831989e61e0e3355eea1 | [
"Apache-2.0"
] | 1 | 2021-05-31T03:09:12.000Z | 2021-05-31T03:09:12.000Z | test/test_compare_license_template_script.py | anshuldutt21/spdx_python_licensematching | a409d7e1d024bc64d13c831989e61e0e3355eea1 | [
"Apache-2.0"
] | 5 | 2020-09-17T14:41:48.000Z | 2020-10-07T07:24:11.000Z | test/test_compare_license_template_script.py | anshuldutt21/spdx_python_licensematching | a409d7e1d024bc64d13c831989e61e0e3355eea1 | [
"Apache-2.0"
] | null | null | null | import unittest
import os
from pathlib import Path
from configuration.config import PACKAGE_PATH
input_text = str(Path(PACKAGE_PATH + "\\test\\data\\OBSD.txt"))
input_text = input_text.replace('\\',os.sep)
input_text_mismatch = str(Path(PACKAGE_PATH + "\\test\\data\\OBSD3.txt"))
input_text_mismatch = input_text_misma... | 40.304348 | 106 | 0.701546 | import unittest
import os
from pathlib import Path
from normalize_license_text.normalize_class import NormalizeText
from configuration.config import PACKAGE_PATH
from compare_template_text.normalize_template_text import NormalizeTemplate
from compare_template_text.compare_normalized_files import CompareNormalizedFiles... | 0 | 0 | 0 | 2,001 | 0 | 0 | 0 | 157 | 90 |
379dd518a9f7ab68255775b31015a88d60d5cd9d | 5,881 | py | Python | voipms/entities/clientsget.py | 4doom4/python-voipms | 3159ccfaf1ed9f5fef431fa3d2fdd54b9d3b1b3c | [
"MIT"
] | 14 | 2017-06-26T16:22:59.000Z | 2022-03-10T13:22:49.000Z | voipms/entities/clientsget.py | judahpaul16/python-voipms | 4e1eb51f927b9e0924091f7bbf25ccc2193c3bac | [
"MIT"
] | 8 | 2018-02-15T18:25:48.000Z | 2022-03-29T06:17:00.000Z | voipms/entities/clientsget.py | judahpaul16/python-voipms | 4e1eb51f927b9e0924091f7bbf25ccc2193c3bac | [
"MIT"
] | 8 | 2019-02-22T00:42:25.000Z | 2022-02-14T19:50:41.000Z | # coding=utf-8
"""
The Clients API endpoint get
Documentation: https://voip.ms/m/apidocs.php
"""
| 33.99422 | 114 | 0.606019 | # coding=utf-8
"""
The Clients API endpoint get
Documentation: https://voip.ms/m/apidocs.php
"""
from voipms.baseapi import BaseApi
class ClientsGet(BaseApi):
"""
Get for the Clients endpoint.
"""
def __init__(self, *args, **kwargs):
"""
Initialize the endpoint
"""
sup... | 0 | 0 | 0 | 5,724 | 0 | 0 | 0 | 13 | 45 |
13b429b81010ca853bf0a7c55e57c20f41b5c98f | 1,540 | py | Python | matrix_traversal/utils.py | SiberiaMan/Avitotech | 0f17bedd157973ad3f5a3fa748a4892eb1a42204 | [
"MIT"
] | null | null | null | matrix_traversal/utils.py | SiberiaMan/Avitotech | 0f17bedd157973ad3f5a3fa748a4892eb1a42204 | [
"MIT"
] | null | null | null | matrix_traversal/utils.py | SiberiaMan/Avitotech | 0f17bedd157973ad3f5a3fa748a4892eb1a42204 | [
"MIT"
] | null | null | null | import validators
from typing import List
from typing import Optional
def check_url(url: str) -> Optional[bool]:
"""
This function checks is valid URL or not
:param url: URL
:return: True if is valid, else False
"""
if validators.url(url):
return True
return False
def traverse_m... | 29.056604 | 87 | 0.625974 | import validators
import aiohttp
from typing import List
from typing import Optional
def check_url(url: str) -> Optional[bool]:
"""
This function checks is valid URL or not
:param url: URL
:return: True if is valid, else False
"""
if validators.url(url):
return True
return False
... | 0 | 0 | 731 | 0 | 0 | 0 | 0 | -7 | 45 |
342069d7d55981fcab3a1c5635c7a9b5c1fab879 | 5,886 | py | Python | cats/v2/server/server.py | Cifrazia/cats-python | de75b8b5b6ab60d7e250cb4c041c1515aa749d79 | [
"MIT"
] | 2 | 2021-10-04T05:39:03.000Z | 2021-10-07T06:44:19.000Z | cats/v2/server/server.py | Cifrazia/cats-python | de75b8b5b6ab60d7e250cb4c041c1515aa749d79 | [
"MIT"
] | 3 | 2021-10-07T07:07:48.000Z | 2021-12-27T14:04:51.000Z | cats/v2/server/server.py | Cifrazia/cats-python | de75b8b5b6ab60d7e250cb4c041c1515aa749d79 | [
"MIT"
] | 2 | 2021-10-01T20:58:25.000Z | 2021-10-04T05:40:35.000Z | from logging import getLogger
__all__ = [
'Server',
]
logging = getLogger('CATS.Server')
| 31.142857 | 89 | 0.579001 | import asyncio
import socket
import ssl
from contextlib import asynccontextmanager
from logging import getLogger
from typing import Callable
from tornado.iostream import IOStream
from tornado.tcpserver import TCPServer
from tornado.testing import bind_unused_port
from cats.errors import CatsError
from cats.utils impo... | 0 | 3,175 | 225 | 1,833 | 0 | 0 | 0 | 223 | 334 |
66ee06f9edf175407996d4f1645346491097442e | 3,900 | py | Python | activity/prepare_data.py | gorgitko/MI-PDD_2016 | 6aabf0d588ee62814cd625526795cacd2810058a | [
"MIT"
] | null | null | null | activity/prepare_data.py | gorgitko/MI-PDD_2016 | 6aabf0d588ee62814cd625526795cacd2810058a | [
"MIT"
] | null | null | null | activity/prepare_data.py | gorgitko/MI-PDD_2016 | 6aabf0d588ee62814cd625526795cacd2810058a | [
"MIT"
] | null | null | null | import sys
from pathlib import Path
sys.path.append(str(Path('.').absolute().parent))
from helper_functions import encode_smiles, canonize_smiles
import pandas as pd
import numpy as np
def save_active_compounds(input_file, output_file, encode=True, longest_smiles=0, smiles_charcodes_file="data/smiles_charcodes.npy",... | 39.393939 | 159 | 0.698974 | import sys
from pathlib import Path
sys.path.append(str(Path('.').absolute().parent))
from helper_functions import encode_smiles, save_smiles_charcodes, canonize_smiles
import pandas as pd
import numpy as np
def save_active_compounds(input_file, output_file, encode=True, longest_smiles=0, smiles_charcodes_file="data... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 |
154e90498cf56f92c3e1e5d17dc97bd08d50c31d | 438 | py | Python | src/apetest/version.py | boxingbeetle/apetest | c6dd7aaca014c64eec4bde7e755c4a3dec72404a | [
"BSD-3-Clause"
] | 6 | 2019-04-01T09:42:31.000Z | 2020-05-20T15:23:17.000Z | src/apetest/version.py | boxingbeetle/apetest | c6dd7aaca014c64eec4bde7e755c4a3dec72404a | [
"BSD-3-Clause"
] | 31 | 2019-02-04T11:38:32.000Z | 2022-03-03T02:51:15.000Z | src/apetest/version.py | boxingbeetle/apetest | c6dd7aaca014c64eec4bde7e755c4a3dec72404a | [
"BSD-3-Clause"
] | null | null | null | # SPDX-License-Identifier: BSD-3-Clause
"""Package version info."""
from typing import TYPE_CHECKING
# On Python 3.8+, use importlib.metadata from the standard library.
# On older versions, a compatibility package can be installed from PyPI.
try:
if not TYPE_CHECKING:
import importlib.metadata as importl... | 27.375 | 72 | 0.773973 | # SPDX-License-Identifier: BSD-3-Clause
"""Package version info."""
from typing import TYPE_CHECKING
# On Python 3.8+, use importlib.metadata from the standard library.
# On older versions, a compatibility package can be installed from PyPI.
try:
if not TYPE_CHECKING:
import importlib.metadata as importl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c50e420a81401ab570df899e6cf676f21d07adb7 | 2,476 | py | Python | data/dataset/wider_mafa_face.py | donnyyou/centerX | 6e381cb669a6014d02e31a43915271237690531c | [
"Apache-2.0"
] | 350 | 2020-12-01T09:55:16.000Z | 2020-12-23T13:47:43.000Z | data/dataset/wider_mafa_face.py | powerlic/centerX | 1073753533f26483c3ab053a7d8753708fcacde7 | [
"Apache-2.0"
] | 39 | 2020-12-24T13:42:29.000Z | 2022-02-10T01:09:56.000Z | data/dataset/wider_mafa_face.py | powerlic/centerX | 1073753533f26483c3ab053a7d8753708fcacde7 | [
"Apache-2.0"
] | 49 | 2020-12-01T11:39:14.000Z | 2020-12-21T01:45:39.000Z | import os
from detectron2.structures import BoxMode
import xml.etree.ElementTree as ET
from fvcore.common.file_io import PathManager
__all__ = ["load_face_instances", "register_face"]
# fmt: off
CLASS_NAMES = ("face",)
# fmt: on
def load_face_instances(txt, annotation_dirname, image_root, class_names):
"""
... | 33.013333 | 112 | 0.620759 | import os
import json
import cv2
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.structures import BoxMode
import pickle
import xml.etree.ElementTree as ET
from typing import List, Tuple, Union
from fvcore.common.file_io import PathManager
import logging
__all__ = ["load_face_instances", "... | 0 | 0 | 0 | 0 | 0 | 259 | 0 | 18 | 156 |
f52617a12608ce90e4e74a77b0a04560f750f451 | 1,365 | py | Python | setup.py | kgaughan/uwhoisd | 0b781e2eb6f6230ac5e64a79985b9d119e495164 | [
"MIT"
] | 32 | 2015-05-13T11:02:29.000Z | 2021-12-24T08:17:16.000Z | setup.py | kgaughan/uwhoisd | 0b781e2eb6f6230ac5e64a79985b9d119e495164 | [
"MIT"
] | 15 | 2015-11-25T18:58:08.000Z | 2020-03-24T09:48:51.000Z | setup.py | kgaughan/uwhoisd | 0b781e2eb6f6230ac5e64a79985b9d119e495164 | [
"MIT"
] | 3 | 2015-02-01T14:43:34.000Z | 2018-08-27T10:10:23.000Z | #!/usr/bin/env python3
import os.path
from setuptools import find_packages, setup
def read(filename):
"""Read files relative to this file."""
full_path = os.path.join(os.path.dirname(__file__), filename)
with open(full_path, "r") as fh:
return fh.read()
setup(
name="uwhoisd",
version="... | 30.333333 | 65 | 0.625641 | #!/usr/bin/env python3
import os.path
from setuptools import find_packages, setup
def read(filename):
"""Read files relative to this file."""
full_path = os.path.join(os.path.dirname(__file__), filename)
with open(full_path, "r") as fh:
return fh.read()
setup(
name="uwhoisd",
version="... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
202f6e0f854d82bdb8312b85ad45d6d42e389d12 | 1,115 | py | Python | infra/controller.py | tukeJonny/NTPAmpMitigator | 91abcfb107166b411596b26678a03a037165f188 | [
"MIT"
] | 1 | 2020-06-20T04:21:15.000Z | 2020-06-20T04:21:15.000Z | infra/controller.py | tukeJonny/NTPAmpMitigator | 91abcfb107166b411596b26678a03a037165f188 | [
"MIT"
] | null | null | null | infra/controller.py | tukeJonny/NTPAmpMitigator | 91abcfb107166b411596b26678a03a037165f188 | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
#from ryu.app import simple_switch_13
#import mitigate_switch_13#my custom simple_switch_13
MITIGATE_MODE_ON = False
if MITIGATE_MODE_ON:
import mitigate_switch_13
super_class = mitigate_switch_13.MitigateSwitch13
else:
from ryu.app import simple_switch_13
super_class = simple_s... | 30.972222 | 82 | 0.715695 | #-*- coding: utf-8 -*-
#from ryu.app import simple_switch_13
#import mitigate_switch_13#my custom simple_switch_13
from ryu.controller import ofp_event
from ryu.controller.handler import (
MAIN_DISPATCHER,
DEAD_DISPATCHER
)
from ryu.controller.handler import set_ev_cls
MITIGATE_MODE_ON = False
if MITIGATE_MOD... | 0 | 411 | 0 | 174 | 0 | 0 | 0 | 97 | 89 |
501edd92a20a95745c9193c57c47f62a89b7c69c | 2,888 | py | Python | module/pages/gas_info.py | medivhXu/AT-M | e1c215ae95085d1be24a7566fd365eb6bfae5e53 | [
"Apache-2.0"
] | 1 | 2019-06-05T08:53:47.000Z | 2019-06-05T08:53:47.000Z | module/pages/gas_info.py | medivhXu/AT-M | e1c215ae95085d1be24a7566fd365eb6bfae5e53 | [
"Apache-2.0"
] | null | null | null | module/pages/gas_info.py | medivhXu/AT-M | e1c215ae95085d1be24a7566fd365eb6bfae5e53 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# encoding: utf-8
"""
@author: Medivh Xu
@file: gas.py
@time: 2020-03-30 15:29
"""
| 29.469388 | 115 | 0.601108 | #!/usr/bin/env python3
# encoding: utf-8
"""
@author: Medivh Xu
@file: gas.py
@time: 2020-03-30 15:29
"""
from base.element_manager import *
class GasInfo(BasePage):
"""油站详情"""
gun_name_btn = (By.ID, 'com.xxx.xxx:id/gunName')
money_input_box = (By.ID, 'com.xxx.xxx:id/et_input_money')
money_btn = (By.... | 267 | 1,800 | 0 | 833 | 0 | 0 | 0 | 13 | 46 |
bd3d12d49d8826b3181b830e13cb243a0218dffb | 14,182 | py | Python | main.py | ks-tec/Hydroponic | d9347f82698841d85c0a45908e8671b36c50ffce | [
"MIT"
] | 1 | 2021-05-27T13:32:45.000Z | 2021-05-27T13:32:45.000Z | main.py | ks-tec/Hydroponic | d9347f82698841d85c0a45908e8671b36c50ffce | [
"MIT"
] | null | null | null | main.py | ks-tec/Hydroponic | d9347f82698841d85c0a45908e8671b36c50ffce | [
"MIT"
] | null | null | null | # This is Hydroponic project in MicroPython with the ESP32 board.
# Using devices are SSD1306 OLED, DS18B20, BME280, and Touch Pin.
#
# Copyright (c) 2020 ks-tec
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the "Software"),
# to ... | 34.506083 | 140 | 0.675152 | # This is Hydroponic project in MicroPython with the ESP32 board.
# Using devices are SSD1306 OLED, DS18B20, BME280, and Touch Pin.
#
# Copyright (c) 2020 ks-tec
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the "Software"),
# to ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f19d270dc48a4d8e462331fd511b2c2742b7e7b5 | 689 | py | Python | stats_job/database_test.py | arxcruz/tripleo-stats-backend | c4cfb971bbc8e67825d357df2dc9214fda81f2fa | [
"Apache-2.0"
] | null | null | null | stats_job/database_test.py | arxcruz/tripleo-stats-backend | c4cfb971bbc8e67825d357df2dc9214fda81f2fa | [
"Apache-2.0"
] | null | null | null | stats_job/database_test.py | arxcruz/tripleo-stats-backend | c4cfb971bbc8e67825d357df2dc9214fda81f2fa | [
"Apache-2.0"
] | null | null | null |
if __name__ == '__main__':
show_data()
| 28.708333 | 107 | 0.692308 | import datetime
from sqlalchemy import Date, func, cast
from sqlalchemy.orm import sessionmaker
from database.model import engine
from database.model import JobRun
def show_data():
Session = sessionmaker(engine)
session = Session()
query = session.query(func.count().label('count'), JobRun.failure_type).... | 0 | 0 | 0 | 0 | 0 | 456 | 0 | 54 | 134 |
30b3a8a367927c57abd32d63596d445e1516ee84 | 9,496 | py | Python | qlknn/dataset/data_io.py | Karel-van-de-Plassche/QLKNN-develop | f2d29be625c2ddbddad6c1e98e5c03a43cf2797f | [
"MIT"
] | null | null | null | qlknn/dataset/data_io.py | Karel-van-de-Plassche/QLKNN-develop | f2d29be625c2ddbddad6c1e98e5c03a43cf2797f | [
"MIT"
] | null | null | null | qlknn/dataset/data_io.py | Karel-van-de-Plassche/QLKNN-develop | f2d29be625c2ddbddad6c1e98e5c03a43cf2797f | [
"MIT"
] | 2 | 2018-02-28T14:18:43.000Z | 2018-11-26T11:06:08.000Z | import warnings
try:
has_dask = True
except ImportError:
warnings.warn('Dask not found')
has_dask = False
try:
profile
except NameError:
store_format = 'fixed'
sep_prefix = '/output/'
| 40.931034 | 165 | 0.542544 | import gc
from collections import OrderedDict
import warnings
import re
import pandas as pd
import numpy as np
from IPython import embed
try:
import dask.dataframe as dd
has_dask = True
except ImportError:
warnings.warn('Dask not found')
has_dask = False
try:
profile
except NameError:
from qlk... | 0 | 7,190 | 0 | 0 | 0 | 1,635 | 0 | 123 | 345 |
d9329a55db13e5baab08945f156f37224d82a09e | 9,688 | py | Python | src/nn.py | mountain/planetarium | 14c5a75f9ac0be36f28d059c7bf7a77635d617da | [
"MIT"
] | 1 | 2018-03-03T18:58:01.000Z | 2018-03-03T18:58:01.000Z | src/nn.py | mountain/planetarium | 14c5a75f9ac0be36f28d059c7bf7a77635d617da | [
"MIT"
] | null | null | null | src/nn.py | mountain/planetarium | 14c5a75f9ac0be36f28d059c7bf7a77635d617da | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import matplotlib
matplotlib.use('Agg')
import time
import numpy as np
import unit.au as au
from os import environ
xp = np
if environ.get('CUDA_HOME') is not None:
xp = np
import torch as th
import torch.nn as nn
import torch.optim as optim
from flare.learner import StandardLearner
fro... | 29.357576 | 130 | 0.54872 | # -*- coding: utf-8 -*-
import matplotlib
matplotlib.use('Agg')
import sys
import time
import numpy as np
from physics import ode, hamilton, nbody
import unit.au as au
from os import environ
xp = np
if environ.get('CUDA_HOME') is not None:
xp = np
import torch as th
import torch.nn as nn
import torch.optim a... | 0 | 334 | 0 | 1,870 | 1,815 | 3,001 | 0 | 241 | 343 |
49ad0529acc7b30e818083fbddf61cedb7ec9149 | 1,616 | py | Python | test_question4.py | fmakawa/Practice | 7f6eaa1dde4e46088ca5dcee76de1bb56a363238 | [
"MIT"
] | null | null | null | test_question4.py | fmakawa/Practice | 7f6eaa1dde4e46088ca5dcee76de1bb56a363238 | [
"MIT"
] | null | null | null | test_question4.py | fmakawa/Practice | 7f6eaa1dde4e46088ca5dcee76de1bb56a363238 | [
"MIT"
] | null | null | null | """
Question 4
Level 1
Question:
Write a program which accepts a sequence of comma-separated numbers from console and generate a list and a tuple which contains every number.
Suppose the following input is supplied to the program:
34,67,55,33,12,98
Then, the output should be:
['34', '67', '55', '33', '12', '98']
('34'... | 36.727273 | 141 | 0.61448 | """
Question 4
Level 1
Question:
Write a program which accepts a sequence of comma-separated numbers from console and generate a list and a tuple which contains every number.
Suppose the following input is supplied to the program:
34,67,55,33,12,98
Then, the output should be:
['34', '67', '55', '33', '12', '98']
('34'... | 0 | 779 | 0 | 13 | 0 | 0 | 0 | 40 | 151 |
938385e28f9b2ed19e39302cb8539a14a9ba38f9 | 225 | py | Python | ex007.py | EduFelix/Exercicios-Python | 4dc6a33653f8171684a8628f5629b137b4bfef94 | [
"MIT"
] | null | null | null | ex007.py | EduFelix/Exercicios-Python | 4dc6a33653f8171684a8628f5629b137b4bfef94 | [
"MIT"
] | null | null | null | ex007.py | EduFelix/Exercicios-Python | 4dc6a33653f8171684a8628f5629b137b4bfef94 | [
"MIT"
] | null | null | null | n1 = float(input('Digite a primeira nota?'))
n2 = float(input('Digite a segunda nota?'))
media = (n1 + n2)/ 2
print("Primeira nota do aluno {}, \n Segunda nota do aluno {}\n Mdia das notas do aluno {}".format(n1, n2, media)) | 56.25 | 115 | 0.666667 | n1 = float(input('Digite a primeira nota?'))
n2 = float(input('Digite a segunda nota?'))
media = (n1 + n2)/ 2
print("Primeira nota do aluno {}, \n Segunda nota do aluno {}\n Média das notas do aluno {}".format(n1, n2, media)) | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9d3e5450887e6602ff1d30172f1a8cc5caf85669 | 78 | py | Python | main.py | BigSmokeCuba/BotTelegram | 65636ff1ce1bee27575144b21ac9bdd3c69a2735 | [
"MIT"
] | null | null | null | main.py | BigSmokeCuba/BotTelegram | 65636ff1ce1bee27575144b21ac9bdd3c69a2735 | [
"MIT"
] | null | null | null | main.py | BigSmokeCuba/BotTelegram | 65636ff1ce1bee27575144b21ac9bdd3c69a2735 | [
"MIT"
] | null | null | null | import bot.app
from threading import Thread
Thread(target=bot.app).start() | 19.5 | 30 | 0.769231 | import bot.app
from threading import Thread
Thread(target=bot.app).start() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5bb4f222e235e9d7070a669c4bfcfbbeadb8de75 | 1,406 | py | Python | webapp/blaster/quickstart.py | 128technology/blaster | ed4f94a8d068e7ee522e246f61ba3425a68041d2 | [
"MIT"
] | null | null | null | webapp/blaster/quickstart.py | 128technology/blaster | ed4f94a8d068e7ee522e246f61ba3425a68041d2 | [
"MIT"
] | 17 | 2020-09-16T09:32:32.000Z | 2021-07-22T18:54:13.000Z | webapp/blaster/quickstart.py | 128technology/blaster | ed4f94a8d068e7ee522e246f61ba3425a68041d2 | [
"MIT"
] | null | null | null |
from flask import (Blueprint)
bp = Blueprint('quickstart', __name__, url_prefix='/quickstart')
| 33.47619 | 139 | 0.668563 | import functools
from flask import (
current_app, Blueprint, flash, Flask, g, redirect, render_template, request, session, url_for, jsonify
)
import json
from blaster.db import get_db
from . import constants
bp = Blueprint('quickstart', __name__, url_prefix='/quickstart')
@bp.route('/<instance>')
def instanti... | 0 | 1,101 | 0 | 0 | 0 | 0 | 0 | 94 | 114 |
251449e248fb046c8e513ed9c8761edc71196595 | 306 | py | Python | close-server.py | cyanobacterium/Minecraft-Automated-Forge-Server | 587df4dc8100415a6b0d87d4f1c144c98a88098a | [
"MIT"
] | null | null | null | close-server.py | cyanobacterium/Minecraft-Automated-Forge-Server | 587df4dc8100415a6b0d87d4f1c144c98a88098a | [
"MIT"
] | 1 | 2016-09-17T13:04:55.000Z | 2016-09-19T18:34:29.000Z | close-server.py | cyanobacterium/Minecraft-Automated-Forge-Server | 587df4dc8100415a6b0d87d4f1c144c98a88098a | [
"MIT"
] | null | null | null |
import os
local_dir = os.path.dirname(os.path.realpath(__file__))
dir_name = get_filename(local_dir)
command_file = local_dir+"/command-stack.txt"
f_out = open(command_file, "w")
f_out.write("stop\n")
f_out.close()
| 19.125 | 56 | 0.673203 |
import os
def get_filename(path):
return path.replace("\\","/").split("/")[-1]
local_dir = os.path.dirname(os.path.realpath(__file__))
dir_name = get_filename(local_dir)
command_file = local_dir+"/command-stack.txt"
f_out = open(command_file, "w")
f_out.write("stop\n")
f_out.close()
| 0 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 25 |
31e3fc4c3daa23bcf9ebfa1f70cac64480721f36 | 405 | py | Python | app/django/photo/migrations/0004_rename_dimentions_descriptionimage_dimensions.py | Murabei-OpenSource-Codes/ai-photo-sampler--backend | c098a5cb544da89623a000d87daa18f22cfecfce | [
"BSD-3-Clause"
] | null | null | null | app/django/photo/migrations/0004_rename_dimentions_descriptionimage_dimensions.py | Murabei-OpenSource-Codes/ai-photo-sampler--backend | c098a5cb544da89623a000d87daa18f22cfecfce | [
"BSD-3-Clause"
] | null | null | null | app/django/photo/migrations/0004_rename_dimentions_descriptionimage_dimensions.py | Murabei-OpenSource-Codes/ai-photo-sampler--backend | c098a5cb544da89623a000d87daa18f22cfecfce | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 3.2.4 on 2022-04-12 02:21
| 21.315789 | 71 | 0.62716 | # Generated by Django 3.2.4 on 2022-04-12 02:21
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('photo', '0003_rename_dimension_descriptionimage_dimentions'),
]
operations = [
migrations.RenameField(
model_name='descriptionimage',
... | 0 | 0 | 0 | 299 | 0 | 0 | 0 | 11 | 46 |
50578585f1b1c3714387270db94790d2634d62a0 | 2,573 | py | Python | db/createDB.py | DigasNikas/PyRecommender | fb056929bba45431a5fc98691332b9bf91e730bb | [
"MIT"
] | 2 | 2017-05-27T15:06:04.000Z | 2018-11-23T06:43:25.000Z | db/createDB.py | DigasNikas/PyRecommender | fb056929bba45431a5fc98691332b9bf91e730bb | [
"MIT"
] | null | null | null | db/createDB.py | DigasNikas/PyRecommender | fb056929bba45431a5fc98691332b9bf91e730bb | [
"MIT"
] | null | null | null | import psycopg2
import sys
def create_tables():
""" create tables in the PostgreSQL database"""
commands = (
"""DROP TABLE main;
""",
"""
CREATE TABLE main (
package VARCHAR NOT NULL,
category VARCHAR NOT NULL,
downloads BIGINT NOT NULL,
... | 32.1625 | 107 | 0.551108 | import psycopg2
import json
import os
import sys
def read_jason(path):
conn = None
part_files = os.listdir(path)
try:
# read the connection parameters
params = "dbname='app_data' user='postgres' host='localhost' password='postgres'"
# connect to the PostgreSQL server
conn = ... | 0 | 0 | 0 | 0 | 0 | 1,385 | 0 | -22 | 67 |
a380d47347ebec46f0b4459ad3d764d33d8e18ac | 70,890 | py | Python | gridsim/grid_sim_linear_program.py | mfastudillo/energysimulation | 09c40bc52fd41e00be0fcafca40e2f5cb9e8ef8f | [
"Apache-2.0"
] | null | null | null | gridsim/grid_sim_linear_program.py | mfastudillo/energysimulation | 09c40bc52fd41e00be0fcafca40e2f5cb9e8ef8f | [
"Apache-2.0"
] | null | null | null | gridsim/grid_sim_linear_program.py | mfastudillo/energysimulation | 09c40bc52fd41e00be0fcafca40e2f5cb9e8ef8f | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 36.883455 | 88 | 0.645253 | # Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 0 | 0 | 0 | 66,986 | 0 | 0 | 0 | 11 | 459 |
d5ab3a7720db01daa3de43c7dfde773e221acba3 | 899 | py | Python | tests/test_tfidf.py | eig-2017/dedupe | 7f90bcbbf345534b8692df726e9ba2479856bba1 | [
"MIT"
] | null | null | null | tests/test_tfidf.py | eig-2017/dedupe | 7f90bcbbf345534b8692df726e9ba2479856bba1 | [
"MIT"
] | null | null | null | tests/test_tfidf.py | eig-2017/dedupe | 7f90bcbbf345534b8692df726e9ba2479856bba1 | [
"MIT"
] | null | null | null | import unittest
if __name__ == "__main__":
unittest.main()
| 29 | 69 | 0.575083 | import dedupe
import unittest
class ParsingTest(unittest.TestCase) :
def setUp(self) :
self.index = dedupe.tfidf.TfIdfIndex()
def test_keywords(self) :
self.index.index(('AND', 'OR', 'EOF', 'NOT'))
self.index._index.initSearch()
assert self.index.search(('AND', 'OR', 'E... | 0 | 0 | 0 | 798 | 0 | 0 | 0 | -8 | 45 |
c34d95a85f6568f6c9a18b0c92ccbd0ba5e083c9 | 2,788 | py | Python | get_data.py | Jack07310/Project-2-Image-Classifier-Part-2 | cafb78ca541faae45851281e87b99c2cdc493f04 | [
"MIT"
] | null | null | null | get_data.py | Jack07310/Project-2-Image-Classifier-Part-2 | cafb78ca541faae45851281e87b99c2cdc493f04 | [
"MIT"
] | null | null | null | get_data.py | Jack07310/Project-2-Image-Classifier-Part-2 | cafb78ca541faae45851281e87b99c2cdc493f04 | [
"MIT"
] | null | null | null | #get_data.py
#234567890123456789012345678901234567890123456789012345678901234567890123456789
# Imports here
# The command line parser for train.py | 40.405797 | 79 | 0.532999 | #get_data.py
#234567890123456789012345678901234567890123456789012345678901234567890123456789
# Imports here
import torch
from torchvision import datasets, transforms
# The command line parser for train.py
def get_dataloaders(data_dir):
# Load the data
train_dir = data_dir + '/train'
valid_dir = data_dir + '/... | 0 | 0 | 0 | 0 | 0 | 2,560 | 0 | 14 | 66 |
cceaa1dde18416d633f3357f1ad781584903faad | 1,421 | py | Python | Backend/migrations/alembic/versions/f8791d49d830_create_bed_capacity_table.py | dbvis-ukon/coronavis | f00374ac655c9d68541183d28ede6fe5536581dc | [
"Apache-2.0"
] | 15 | 2020-04-24T20:18:11.000Z | 2022-01-31T21:05:05.000Z | Backend/migrations/alembic/versions/f8791d49d830_create_bed_capacity_table.py | dbvis-ukon/coronavis | f00374ac655c9d68541183d28ede6fe5536581dc | [
"Apache-2.0"
] | 2 | 2021-05-19T07:15:09.000Z | 2022-03-07T08:29:34.000Z | Backend/migrations/alembic/versions/f8791d49d830_create_bed_capacity_table.py | dbvis-ukon/coronavis | f00374ac655c9d68541183d28ede6fe5536581dc | [
"Apache-2.0"
] | 4 | 2020-04-27T16:20:13.000Z | 2021-02-23T10:39:42.000Z | """create bed_capacity table
Revision ID: f8791d49d830
Revises: b84312f6532e
Create Date: 2020-11-26 15:22:19.299937
"""
# revision identifiers, used by Alembic.
revision = 'f8791d49d830'
down_revision = '4fcda072e8c6'
branch_labels = None
depends_on = None
| 28.42 | 82 | 0.635468 | """create bed_capacity table
Revision ID: f8791d49d830
Revises: b84312f6532e
Create Date: 2020-11-26 15:22:19.299937
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = 'f8791d49d830'
down_revision = '4fcda072e8c6'
branch_labels = None
depends_on = None
def upgrade():
op.get_bind().e... | 0 | 0 | 0 | 0 | 0 | 1,089 | 0 | 1 | 68 |
cdb565b081ef8900b32c772239390e1a1c75c7d1 | 4,897 | py | Python | openjij/sampler/response.py | Atsushi-Machida/OpenJij | e4bddebb13536eb26ff0b7b9fc6b1c75659fe934 | [
"Apache-2.0"
] | null | null | null | openjij/sampler/response.py | Atsushi-Machida/OpenJij | e4bddebb13536eb26ff0b7b9fc6b1c75659fe934 | [
"Apache-2.0"
] | null | null | null | openjij/sampler/response.py | Atsushi-Machida/OpenJij | e4bddebb13536eb26ff0b7b9fc6b1c75659fe934 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Jij Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, softwa... | 32.430464 | 91 | 0.602001 | # Copyright 2019 Jij Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, softwa... | 0 | 187 | 0 | 4,082 | 0 | 0 | 0 | -10 | 68 |
559b08125c8dd5044f6a3227a31f3322c215c5f1 | 231 | py | Python | Round #534 (Div 2)/B.py | julianferres/Codeforces | ac80292a4d53b8078fc1a85e91db353c489555d9 | [
"MIT"
] | 4 | 2020-01-31T15:49:25.000Z | 2020-07-07T11:44:03.000Z | Round #534 (Div 2)/B.py | julianferres/CodeForces | 14e8369e82a2403094183d6f7824201f681c9f65 | [
"MIT"
] | null | null | null | Round #534 (Div 2)/B.py | julianferres/CodeForces | 14e8369e82a2403094183d6f7824201f681c9f65 | [
"MIT"
] | null | null | null |
B() | 12.833333 | 44 | 0.554113 | def B():
s = input()
stack = []
counter = 0
for x in s:
if(not len(stack)):
stack.append(x)
elif(stack[-1]==x):
stack.pop()
counter+=1
else:
stack.append(x)
print("Yes") if(counter%2) else print("No")
B() | 0 | 0 | 0 | 0 | 0 | 205 | 0 | 0 | 22 |
6b14c5d2b9d6119d7b2f3a785b2ddfa6e6e4344f | 1,799 | py | Python | py_se_day03/py_fucntions.py | letscodedjango/py-se-bootcamp | 302e2acb69f4aaefbb2fe6361083c9135b000394 | [
"MIT"
] | null | null | null | py_se_day03/py_fucntions.py | letscodedjango/py-se-bootcamp | 302e2acb69f4aaefbb2fe6361083c9135b000394 | [
"MIT"
] | null | null | null | py_se_day03/py_fucntions.py | letscodedjango/py-se-bootcamp | 302e2acb69f4aaefbb2fe6361083c9135b000394 | [
"MIT"
] | 1 | 2020-05-20T14:48:48.000Z | 2020-05-20T14:48:48.000Z | #
# add_numbers()
# x = add_numbers_version_01(20,30)
# print(x) # ?
# not returning anything to you
# add_numbers_version_01(50, 10)
# add_numbers_version_01(300, 29)
# add_numbers_version_01(20.78, 56.89)
# # Average of two numbers
# Add 2 nos and then divide the sum with nos. of value
# no_one = 50
# n... | 19.344086 | 96 | 0.712062 | #
def add_numbers():
no_one = 20
no_two = 30
result = no_one + no_two
print(result)
# add_numbers()
def add_numbers_version_01(x, y):
no_one = x
no_two = y
result = no_one + no_two
#print("The value of result variable is " + str(result) ) ### ?
return result
# print(result)
# x = add_numbers_version_01... | 0 | 0 | 0 | 0 | 0 | 538 | 0 | 0 | 114 |
f4e25421a136d0f49225bf4f0ffc79ec0d8aff41 | 264 | py | Python | GTFS2OMNS/test.py | luyuliu/playground | 0e0382be27abf6714bda8ea1bc34249286ef53c1 | [
"MIT"
] | null | null | null | GTFS2OMNS/test.py | luyuliu/playground | 0e0382be27abf6714bda8ea1bc34249286ef53c1 | [
"MIT"
] | null | null | null | GTFS2OMNS/test.py | luyuliu/playground | 0e0382be27abf6714bda8ea1bc34249286ef53c1 | [
"MIT"
] | null | null | null | # Note:
# 1. Need dependency autoinstall
# 2. GDAL
import os
os.environ['PATH']
import gtfs2gmns as gg
gtfs_path = "H:\\ChromeDownload\\gtfscota"
gmns_path = "H:\\ChromeDownload\\gtfscota\\output"
node_transit,link_transit = gg.Convert_GTFS(gtfs_path,gmns_path) | 22 | 64 | 0.761364 | # Note:
# 1. Need dependency autoinstall
# 2. GDAL
import os
os.environ['PATH']
import gtfs2gmns as gg
gtfs_path = "H:\\ChromeDownload\\gtfscota"
gmns_path = "H:\\ChromeDownload\\gtfscota\\output"
node_transit,link_transit = gg.Convert_GTFS(gtfs_path,gmns_path) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6399edf0c794754950ba2f79efc7d0c101bed496 | 9,518 | py | Python | scipy/sparse/linalg/eigen/_svds.py | jcharlong/scipy | 153467a9174b0c6f4b90ffeed5871e5018658108 | [
"BSD-3-Clause"
] | 1 | 2021-08-16T09:32:42.000Z | 2021-08-16T09:32:42.000Z | scipy/sparse/linalg/eigen/_svds.py | jcharlong/scipy | 153467a9174b0c6f4b90ffeed5871e5018658108 | [
"BSD-3-Clause"
] | 44 | 2019-06-27T15:56:14.000Z | 2022-03-15T22:21:10.000Z | scipy/sparse/linalg/eigen/_svds.py | jcharlong/scipy | 153467a9174b0c6f4b90ffeed5871e5018658108 | [
"BSD-3-Clause"
] | 4 | 2020-06-13T10:32:25.000Z | 2021-12-03T15:48:16.000Z | import numpy as np
from .arpack import _arpack # type: ignore[attr-defined]
from . import eigsh
from scipy.sparse.linalg.interface import LinearOperator
from scipy.sparse import isspmatrix
from scipy.sparse.sputils import is_pydata_spmatrix
from scipy.sparse.linalg.eigen.lobpcg import lobpcg # type: ignore[no-redef... | 34.737226 | 79 | 0.604854 | import numpy as np
from .arpack import _arpack # type: ignore[attr-defined]
from . import eigsh
from scipy.sparse.linalg.interface import LinearOperator
from scipy.sparse import isspmatrix
from scipy.sparse.sputils import is_pydata_spmatrix
from scipy.sparse.linalg.eigen.lobpcg import lobpcg # type: ignore[no-redef... | 0 | 0 | 0 | 0 | 0 | 924 | 0 | 0 | 123 |
99b6bd941f90c609486b360ca9e450f760cfa0d4 | 691 | py | Python | monty/os/__init__.py | yanikou19/monty | 822ae841f7d29bd7464287fd99b51da6e5960088 | [
"MIT"
] | null | null | null | monty/os/__init__.py | yanikou19/monty | 822ae841f7d29bd7464287fd99b51da6e5960088 | [
"MIT"
] | null | null | null | monty/os/__init__.py | yanikou19/monty | 822ae841f7d29bd7464287fd99b51da6e5960088 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
__author__ = 'Shyue Ping Ong'
__copyright__ = 'Copyright 2013, The Materials Project'
__version__ = '0.1'
__maintainer__ = 'Shyue Ping Ong'
__email__ = 'ongsp@ucsd.edu'
__date__ = '1/24/14'
| 20.939394 | 72 | 0.66136 | from __future__ import absolute_import
__author__ = 'Shyue Ping Ong'
__copyright__ = 'Copyright 2013, The Materials Project'
__version__ = '0.1'
__maintainer__ = 'Shyue Ping Ong'
__email__ = 'ongsp@ucsd.edu'
__date__ = '1/24/14'
import os
from contextlib import contextmanager
@contextmanager
def cd(path):
"""
... | 0 | 388 | 0 | 0 | 0 | 0 | 0 | 4 | 69 |
0aa7b9480412288c537a477f9a614f1b0959bd31 | 5,683 | py | Python | eval.py | khchow-gt/mnist_challenge | 89e9e05b538e887de3e2e5ba45809b7b7505f5c1 | [
"MIT"
] | null | null | null | eval.py | khchow-gt/mnist_challenge | 89e9e05b538e887de3e2e5ba45809b7b7505f5c1 | [
"MIT"
] | null | null | null | eval.py | khchow-gt/mnist_challenge | 89e9e05b538e887de3e2e5ba45809b7b7505f5c1 | [
"MIT"
] | null | null | null | """
Infinite evaluation loop going through the checkpoints in the model directory
as they appear and evaluating them. Accuracy and average loss are printed and
added as tensorboard summaries.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ... | 35.298137 | 79 | 0.600211 | """
Infinite evaluation loop going through the checkpoints in the model directory
as they appear and evaluating them. Accuracy and average loss are printed and
added as tensorboard summaries.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ... | 0 | 0 | 0 | 0 | 0 | 2,393 | 0 | -10 | 46 |
50f41c52255abfd0c6e8b9f4a85116ed07d020a3 | 887 | py | Python | jp.atcoder/abc086/arc089_a/8309315.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/abc086/arc089_a/8309315.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/abc086/arc089_a/8309315.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null | # author: kagemeka
# created: 2019-11-06 12:47:30(JST)
# import collections
# import math
# import string
# import bisect
# import re
# import itertools
# import statistics
if __name__ == "__main__":
# execute only if run as a script
main()
| 22.74359 | 74 | 0.445321 | # author: kagemeka
# created: 2019-11-06 12:47:30(JST)
import sys
# import collections
# import math
# import string
# import bisect
# import re
# import itertools
# import statistics
def main():
n, *txy = (int(x) for x in sys.stdin.read().split())
... | 0 | 0 | 0 | 0 | 0 | 532 | 0 | -11 | 48 |
9d8e89264f07302c0cb52316292081e4a527f1bb | 7,218 | py | Python | src/sima/workflow/plotnode.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/workflow/plotnode.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/workflow/plotnode.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | # This an autogenerated file
#
# Generated with PlotNode
from typing import Dict
| 25.595745 | 168 | 0.590053 | # This an autogenerated file
#
# Generated with PlotNode
from typing import Dict,Sequence,List
from dmt.entity import Entity
from dmt.blueprint import Blueprint
from .blueprints.plotnode import PlotNodeBlueprint
from typing import Dict
from sima.post.controlsignalinputslot import ControlSignalInputSlot
from sima.post.... | 0 | 3,729 | 0 | 2,865 | 0 | 0 | 0 | 277 | 265 |
6c83e241e2fd1082aae160c9ab4a297c935583b4 | 10,275 | py | Python | src/photo/tests/test_utils.py | rjhelms/photo | fd9e3ff384554c5bc1e3b024d13ca40f50e049e5 | [
"MIT"
] | null | null | null | src/photo/tests/test_utils.py | rjhelms/photo | fd9e3ff384554c5bc1e3b024d13ca40f50e049e5 | [
"MIT"
] | null | null | null | src/photo/tests/test_utils.py | rjhelms/photo | fd9e3ff384554c5bc1e3b024d13ca40f50e049e5 | [
"MIT"
] | null | null | null | # pylint: disable=invalid-name
"""
Tests for photo.utils
"""
# pylint: disable=too-few-public-methods
| 35.801394 | 78 | 0.631533 | # pylint: disable=invalid-name
"""
Tests for photo.utils
"""
import uuid
from django.test import TestCase
from photo import utils
# pylint: disable=too-few-public-methods
class DummyInstance:
"""
Dummy instance object for passing into UploadToPathAndRename
"""
pk = None
class UploadToPathAndRenameT... | 0 | 0 | 0 | 10,032 | 0 | 0 | 0 | 3 | 136 |
e5b3c5630bb7e2c668fe7689326b01560779d8e5 | 2,970 | py | Python | python_code/medium/430_Flatten_Multilevel_Doubly_Linked_List_medium/solution.py | timshenkao/interview_coding_exercises | c531fa5e0c09faef976539275589e957fcb88393 | [
"Apache-2.0"
] | null | null | null | python_code/medium/430_Flatten_Multilevel_Doubly_Linked_List_medium/solution.py | timshenkao/interview_coding_exercises | c531fa5e0c09faef976539275589e957fcb88393 | [
"Apache-2.0"
] | null | null | null | python_code/medium/430_Flatten_Multilevel_Doubly_Linked_List_medium/solution.py | timshenkao/interview_coding_exercises | c531fa5e0c09faef976539275589e957fcb88393 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 - present, Timur Shenkao
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 47.903226 | 120 | 0.678451 | # Copyright (c) 2021 - present, Timur Shenkao
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 0 | 0 | 0 | 1,221 | 0 | 0 | 0 | 48 | 69 |
53fa4a3dfcdf40efa45d965ce57530c2fb2653cb | 5,266 | py | Python | file_forensics.py | nshadov/file_forensics | ff87d84876daf12614185acc8b31ace2aa21fe0a | [
"MIT"
] | 8 | 2017-06-09T21:18:52.000Z | 2022-02-18T00:55:28.000Z | file_forensics.py | nshadov/file_forensics | ff87d84876daf12614185acc8b31ace2aa21fe0a | [
"MIT"
] | null | null | null | file_forensics.py | nshadov/file_forensics | ff87d84876daf12614185acc8b31ace2aa21fe0a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Searches specified directory for miss named files."""
import os
def main():
"""Analyze directory from command line looking for suspicious files."""
ff = FileForensics()
# ff.scan_dir("/Users/ns/notes") # FIXME
ff.scan_dir("/Users/ns/work/termination_data")
print "\n... | 32.9125 | 79 | 0.507026 | #!/usr/bin/env python
"""Searches specified directory for miss named files."""
import os
class bcolors:
"""Color text in terminal."""
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE =... | 0 | 0 | 0 | 3,910 | 205 | 0 | 0 | 0 | 69 |
605b26d6d3532dde3890281f964748b6b7ca2774 | 4,620 | py | Python | test_equipment/openSMILE_dir_to_csv.py | ChildMindInstitute/test_recording_equipment | ce062be5c278f4c32c72eadd90b68e4898e9f1fe | [
"Apache-2.0"
] | 1 | 2018-07-20T23:45:22.000Z | 2018-07-20T23:45:22.000Z | test_equipment/openSMILE_dir_to_csv.py | ChildMindInstitute/test-recording-equipment | ce062be5c278f4c32c72eadd90b68e4898e9f1fe | [
"Apache-2.0"
] | null | null | null | test_equipment/openSMILE_dir_to_csv.py | ChildMindInstitute/test-recording-equipment | ce062be5c278f4c32c72eadd90b68e4898e9f1fe | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
openSMILE_dir_to_csv.py
Script to format openSMILE emobase *.csv output for a given set of files into a
single csv. Also returns the data as a pandas dataframe.
Created on Mon Jan 23 10:43:34 2017
Author:
Jon Clucas, 2017 (jon.clucas@childmind.org)
2017, ... | 34.222222 | 79 | 0.585714 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
openSMILE_dir_to_csv.py
Script to format openSMILE emobase *.csv output for a given set of files into a
single csv. Also returns the data as a pandas dataframe.
Created on Mon Jan 23 10:43:34 2017
Author:
– Jon Clucas, 2017 (jon.clucas@childmind.org)
© 2017... | 5 | 0 | 0 | 0 | 0 | 444 | 0 | 22 | 23 |
8973e35176c8a1a48a4120591aa32770860149cc | 2,186 | py | Python | examples/frameworks/catboost/catboost_example.py | thepycoder/clearml | 717edba8c2b39fb7486bd2aba9ca0294f309b4c3 | [
"Apache-2.0"
] | 2,097 | 2019-06-11T14:36:25.000Z | 2020-12-21T03:52:59.000Z | examples/frameworks/catboost/catboost_example.py | thepycoder/clearml | 717edba8c2b39fb7486bd2aba9ca0294f309b4c3 | [
"Apache-2.0"
] | 247 | 2019-06-11T15:10:26.000Z | 2020-12-21T17:34:32.000Z | examples/frameworks/catboost/catboost_example.py | thepycoder/clearml | 717edba8c2b39fb7486bd2aba9ca0294f309b4c3 | [
"Apache-2.0"
] | 256 | 2019-06-11T14:36:28.000Z | 2020-12-18T08:32:47.000Z | # ClearML - Example of CatBoost training, saving model and loading model
#
import argparse
from clearml import Task
if __name__ == "__main__":
Task.init(project_name="examples", task_name="CatBoost simple example")
parser = argparse.ArgumentParser()
parser.add_argument("--iterations", default=200)
a... | 35.836066 | 100 | 0.741537 | # ClearML - Example of CatBoost training, saving model and loading model
#
import argparse
from catboost import CatBoostRegressor, Pool
from catboost.datasets import msrank
from clearml import Task
import numpy as np
from sklearn.model_selection import train_test_split
def main(iterations):
# Download train a... | 0 | 0 | 0 | 0 | 0 | 1,634 | 0 | 66 | 114 |
1f3ee22025ccb85d0fe14837daa5f25f69472cd0 | 411 | py | Python | src/product/signals.py | asanka94/OMS-backend | 0b0637b40e71b9b71156d28fdc0ff1fb7a3d12ac | [
"MIT"
] | null | null | null | src/product/signals.py | asanka94/OMS-backend | 0b0637b40e71b9b71156d28fdc0ff1fb7a3d12ac | [
"MIT"
] | 9 | 2021-03-19T01:50:04.000Z | 2022-03-12T00:23:18.000Z | src/product/signals.py | asanka94/OMS-backend | 0b0637b40e71b9b71156d28fdc0ff1fb7a3d12ac | [
"MIT"
] | null | null | null | from django.template.defaultfilters import slugify
def slug_generator(sender, instance, *args, **kwargs):
''' capitalize first letter of each word and generates slug '''
instance.name = instance.name.title()
slug = slugify(instance.name)
exists = sender.objects.filter(slug=slug).exists()
if not exists... | 27.4 | 66 | 0.688564 | from django.template.defaultfilters import slugify
def slug_generator(sender, instance, *args, **kwargs):
''' capitalize first letter of each word and generates slug '''
instance.name = instance.name.title()
slug = slugify(instance.name)
exists = sender.objects.filter(slug=slug).exists()
if not exists... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d777d6f520440d73be3b7e20022b539bde151fb | 14,330 | py | Python | tests/utils/html.py | boltnev/iktomi | bc92006c026f9b42e56f1af5ced2fe577673a486 | [
"MIT"
] | 14 | 2015-02-15T05:24:22.000Z | 2020-03-19T10:07:28.000Z | tests/utils/html.py | boltnev/iktomi | bc92006c026f9b42e56f1af5ced2fe577673a486 | [
"MIT"
] | 10 | 2015-04-04T10:10:41.000Z | 2016-06-01T13:17:58.000Z | tests/utils/html.py | boltnev/iktomi | bc92006c026f9b42e56f1af5ced2fe577673a486 | [
"MIT"
] | 5 | 2015-02-20T11:18:58.000Z | 2016-10-18T15:30:13.000Z | # -*- coding: utf-8 -*-
| 42.776119 | 105 | 0.52589 | # -*- coding: utf-8 -*-
import unittest
import os
import re
from iktomi.utils import html
from lxml.html import Element
from lxml import etree
import lxml.html as h
class TestSanitizer(unittest.TestCase):
'''Tests for sanitizer based on lxml'''
def setUp(self):
self.attrs = {
'allow_tags':... | 0 | 1,202 | 0 | 12,833 | 0 | 81 | 0 | -13 | 200 |
38b2d2763ba8fad7eb60aaae1908527d08cc5568 | 1,216 | py | Python | Algorithms/Strings/remove_vowels.py | Praggya17/HacktoberFestContribute | 098cb1012f1f2ed6ca6b3544a7b962b6c49e2643 | [
"MIT"
] | 98 | 2018-10-09T15:42:41.000Z | 2021-10-04T15:25:44.000Z | Algorithms/Strings/remove_vowels.py | Praggya17/HacktoberFestContribute | 098cb1012f1f2ed6ca6b3544a7b962b6c49e2643 | [
"MIT"
] | 141 | 2018-10-06T16:55:20.000Z | 2021-10-31T18:25:35.000Z | Algorithms/Strings/remove_vowels.py | Praggya17/HacktoberFestContribute | 098cb1012f1f2ed6ca6b3544a7b962b6c49e2643 | [
"MIT"
] | 885 | 2018-10-06T17:14:44.000Z | 2022-01-29T03:16:21.000Z | #!/usr/bin/env python
# from any given string, remove all vowels
# NON REGEX VERSION
sample_string='Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Ne... | 64 | 881 | 0.813322 | #!/usr/bin/env python
# from any given string, remove all vowels
# NON REGEX VERSION
sample_string='Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Ne... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16be4ccde99385c97c7b33aca56b05715bfed523 | 5,490 | py | Python | src/sdgen/svg/cairosvg/parser.py | PP-TSD/sdgen | 58a3a46f7f612c8d7774dd43a4ab55df4f33ab20 | [
"MIT"
] | 1 | 2015-02-18T17:59:05.000Z | 2015-02-18T17:59:05.000Z | src/sdgen/svg/cairosvg/parser.py | PP-TSD/sdgen | 58a3a46f7f612c8d7774dd43a4ab55df4f33ab20 | [
"MIT"
] | null | null | null | src/sdgen/svg/cairosvg/parser.py | PP-TSD/sdgen | 58a3a46f7f612c8d7774dd43a4ab55df4f33ab20 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# This file is part of CairoSVG
# Copyright 2010-2012 Kozea
#
# This library is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option)... | 32.485207 | 79 | 0.573953 | # -*- coding: utf-8 -*-
# This file is part of CairoSVG
# Copyright © 2010-2012 Kozea
#
# This library is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option... | 2 | 0 | 0 | 3,866 | 0 | 0 | 0 | 41 | 133 |
13406aa5f5d3a775426e7a74d7015441611738ac | 8,888 | py | Python | dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/tests/npyufunc/test_caching.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 8 | 2019-10-07T16:33:47.000Z | 2020-12-07T03:59:58.000Z | dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/tests/npyufunc/test_caching.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 1 | 2018-04-03T22:37:40.000Z | 2018-04-03T23:53:43.000Z | dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/tests/npyufunc/test_caching.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 5 | 2020-08-27T20:44:18.000Z | 2021-08-21T22:54:11.000Z | from __future__ import print_function, absolute_import, division
from numba import unittest_support as unittest
if __name__ == '__main__':
unittest.main()
| 37.344538 | 84 | 0.670117 | from __future__ import print_function, absolute_import, division
import sys
import os.path
import re
from contextlib import contextmanager
import subprocess
import numpy as np
from numba import unittest_support as unittest
from numba import config
from ..support import captured_stdout
from ..test_dispatcher import ... | 0 | 188 | 0 | 8,087 | 0 | 86 | 0 | 20 | 339 |
395d8eca7d1e0f912a781947a6d97be3bde8a106 | 35,045 | py | Python | generator.py | s-fifteen-instruments/Digital_Pattern_Generator_DPG1 | e8113154ba150a5d19e26171c9204cf22d55760d | [
"MIT"
] | null | null | null | generator.py | s-fifteen-instruments/Digital_Pattern_Generator_DPG1 | e8113154ba150a5d19e26171c9204cf22d55760d | [
"MIT"
] | null | null | null | generator.py | s-fifteen-instruments/Digital_Pattern_Generator_DPG1 | e8113154ba150a5d19e26171c9204cf22d55760d | [
"MIT"
] | null | null | null | """
this is an attempt to convert a readable patt format (similar to the ones compatible with arbitrarypatterngenerator) into the 4-word format that can be cat into pattern generator v2
it reads pattfile written in the following format and generate the corresponding dpatt:
#triggered input_line use_table threshold_... | 44.081761 | 349 | 0.706549 | """
this is an attempt to convert a readable patt format (similar to the ones compatible with arbitrarypatterngenerator) into the 4-word format that can be cat into pattern generator v2
it reads pattfile written in the following format and generate the corresponding dpatt:
#triggered input_line use_table threshold_... | 0 | 0 | 0 | 0 | 0 | 30,471 | 0 | 0 | 310 |
8d68291ec8146ddef556012f26a8ece3f9f8aed0 | 237 | py | Python | api/tasks.py | mkeller3/django_celery_redis | 193e550644ef79b5f12d51aa8866c20f1a7a2a3a | [
"Apache-2.0"
] | null | null | null | api/tasks.py | mkeller3/django_celery_redis | 193e550644ef79b5f12d51aa8866c20f1a7a2a3a | [
"Apache-2.0"
] | null | null | null | api/tasks.py | mkeller3/django_celery_redis | 193e550644ef79b5f12d51aa8866c20f1a7a2a3a | [
"Apache-2.0"
] | null | null | null |
# Create your tasks here
from __future__ import absolute_import, unicode_literals
| 15.8 | 56 | 0.725738 |
# Create your tasks here
from __future__ import absolute_import, unicode_literals
from celery import shared_task
import time
@shared_task
def add(x, y):
time.sleep(30)
return x + y
@shared_task
def mul(x, y):
return x * y | 0 | 65 | 0 | 0 | 0 | 0 | 0 | -1 | 90 |
78d0c18558fc3459c334f45b248e8979c544b47b | 6,927 | py | Python | modules/audio_processing/test/py_quality_assessment/quality_assessment/eval_scores.py | Aexyn/webrtc2 | daea5bf2deb843567a792f22ea2047a037e09d78 | [
"DOC",
"BSD-3-Clause"
] | 2 | 2018-01-16T13:29:45.000Z | 2018-08-10T09:15:23.000Z | modules/audio_processing/test/py_quality_assessment/quality_assessment/eval_scores.py | Aexyn/webrtc2 | daea5bf2deb843567a792f22ea2047a037e09d78 | [
"DOC",
"BSD-3-Clause"
] | null | null | null | modules/audio_processing/test/py_quality_assessment/quality_assessment/eval_scores.py | Aexyn/webrtc2 | daea5bf2deb843567a792f22ea2047a037e09d78 | [
"DOC",
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project au... | 28.273469 | 80 | 0.711708 | # Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project au... | 0 | 4,099 | 0 | 2,108 | 0 | 0 | 0 | -18 | 247 |
fde991a1ade12f993fa6cd31e8d7a1c98760897e | 407 | py | Python | airloft/utils/icao.py | Allaye/airloft | deb6274b9eb1de2de79d0b152d67411d1f747afe | [
"FTL"
] | 2 | 2022-03-06T10:34:12.000Z | 2022-03-27T15:41:52.000Z | airloft/utils/icao.py | Allaye/airloft | deb6274b9eb1de2de79d0b152d67411d1f747afe | [
"FTL"
] | null | null | null | airloft/utils/icao.py | Allaye/airloft | deb6274b9eb1de2de79d0b152d67411d1f747afe | [
"FTL"
] | null | null | null | ICAO = {
"Anaa": "NTGA",
"Apalachicola Regional": "KAAF",
"Malamala": "FAMD",
"Al Ain International": "OMAL",
"Atlantic City": "KACY",
"Albany International": "KBAL",
"Baise Youjiang": "ZGBS",
"Albuquerque International Sunport": "KABQ",
"RAF Abisko": "EAAK",
"RAF Leuchars": "EGQ... | 25.4375 | 48 | 0.592138 | ICAO = {
"Anaa": "NTGA",
"Apalachicola Regional": "KAAF",
"Malamala": "FAMD",
"Al Ain International": "OMAL",
"Atlantic City": "KACY",
"Albany International": "KBAL",
"Baise Youjiang": "ZGBS",
"Albuquerque International Sunport": "KABQ",
"RAF Abisko": "EAAK",
"RAF Leuchars": "EGQ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac0348ba5b1b7a69a6c3f778f9a0b37ea7be7200 | 2,145 | py | Python | rightarrow/lexer.py | wuzzeb/python-rightarrow | bc26059d272e4a903fa2a18db9ebb484e7f74aed | [
"Apache-2.0"
] | 1 | 2020-04-30T22:24:41.000Z | 2020-04-30T22:24:41.000Z | rightarrow/lexer.py | wuzzeb/python-rightarrow | bc26059d272e4a903fa2a18db9ebb484e7f74aed | [
"Apache-2.0"
] | null | null | null | rightarrow/lexer.py | wuzzeb/python-rightarrow | bc26059d272e4a903fa2a18db9ebb484e7f74aed | [
"Apache-2.0"
] | null | null | null | import sys
import logging
import ply.lex
logger = logging.getLogger(__name__)
if __name__ == '__main__':
logging.basicConfig()
lexer = Lexer(debug=True)
for token in lexer.tokenize(sys.stdin.read()):
print '%-20s%s' % (token.value, token.type)
| 28.223684 | 138 | 0.549184 | import sys
import logging
import ply.lex
logger = logging.getLogger(__name__)
class Lexer(object):
'''
A Lexical analyzer for Python Typelanguage.
'''
def __init__(self, debug=False):
self.debug = debug
def tokenize(self, string):
'''
Maps a string to an iterator ove... | 0 | 0 | 0 | 1,855 | 0 | 0 | 0 | 0 | 23 |
f7ba2a9383bd30b230072da3c6b714a3283b8ada | 287 | py | Python | output/models/nist_data/list_pkg/normalized_string/schema_instance/nistschema_sv_iv_list_normalized_string_length_5_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/list_pkg/normalized_string/schema_instance/nistschema_sv_iv_list_normalized_string_length_5_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/list_pkg/normalized_string/schema_instance/nistschema_sv_iv_list_normalized_string_length_5_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.list_pkg.normalized_string.schema_instance.nistschema_sv_iv_list_normalized_string_length_5_xsd.nistschema_sv_iv_list_normalized_string_length_5 import NistschemaSvIvListNormalizedStringLength5
__all__ = [
"NistschemaSvIvListNormalizedStringLength5",
]
| 47.833333 | 222 | 0.905923 | from output.models.nist_data.list_pkg.normalized_string.schema_instance.nistschema_sv_iv_list_normalized_string_length_5_xsd.nistschema_sv_iv_list_normalized_string_length_5 import NistschemaSvIvListNormalizedStringLength5
__all__ = [
"NistschemaSvIvListNormalizedStringLength5",
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4cb5cadefacca2ad51093281c7e045a146a2c6c | 423 | py | Python | paper/convert_matt.py | ACTCollaboration/tilec | 11ed8d027ad6ffac09b3e291a047f33e97673f14 | [
"BSD-3-Clause"
] | 1 | 2021-01-04T14:51:44.000Z | 2021-01-04T14:51:44.000Z | paper/convert_matt.py | ACTCollaboration/tilec | 11ed8d027ad6ffac09b3e291a047f33e97673f14 | [
"BSD-3-Clause"
] | 4 | 2019-09-03T22:19:16.000Z | 2020-07-13T12:38:08.000Z | paper/convert_matt.py | ACTCollaboration/tilec | 11ed8d027ad6ffac09b3e291a047f33e97673f14 | [
"BSD-3-Clause"
] | 1 | 2020-08-10T14:51:11.000Z | 2020-08-10T14:51:11.000Z | from __future__ import print_function
from orphics import catalogs
ifile = "paper/E-D56Clusters.fits"
#catalogs.convert_hilton_catalog_to_enplot_annotate_file('public_clusters.csv',ifile,radius=15,width=3,color='red')
catalogs.convert_hilton_catalog_to_enplot_annotate_file('paper/test_public_clusters.csv',ifile,radiu... | 35.25 | 125 | 0.839243 | from __future__ import print_function
from orphics import maps,io,cosmology,catalogs
from pixell import enmap
import numpy as np
import os,sys
ifile = "paper/E-D56Clusters.fits"
#catalogs.convert_hilton_catalog_to_enplot_annotate_file('public_clusters.csv',ifile,radius=15,width=3,color='red')
catalogs.convert_hilton_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 66 |
3dbb54ea861a369163c812d4d62ac2373f9253b7 | 1,374 | py | Python | oogli/utils.py | brianbruggeman/oogli | 6a6f681468d609035924ede27d895afcc9d432b6 | [
"Apache-2.0"
] | 3 | 2016-01-18T22:10:51.000Z | 2016-06-10T16:02:55.000Z | oogli/utils.py | brianbruggeman/oogli | 6a6f681468d609035924ede27d895afcc9d432b6 | [
"Apache-2.0"
] | null | null | null | oogli/utils.py | brianbruggeman/oogli | 6a6f681468d609035924ede27d895afcc9d432b6 | [
"Apache-2.0"
] | null | null | null | import glfw
from glfw import gl
def opengl_supported(major, minor):
'''Determines if opengl is supported for the version provided'''
assert glfw.core.init() != 0
version = (major, minor)
glfw.core.window_hint(glfw.CONTEXT_VERSION_MAJOR, major)
glfw.core.window_hint(glfw.CONTEXT_VERSION_MINOR, min... | 35.230769 | 87 | 0.706696 | import glfw
from glfw import gl
import numpy as np
def screenshot(win, pixels=None):
width, height = win.width, win.height
if not isinstance(pixels, np.ndarray):
shape = (width, height, 3)
pixels = np.zeros(shape, dtype=np.uint8)
return gl.read_pixels(0, 0, width, height, gl.RGB, gl.UNSIGN... | 0 | 0 | 0 | 0 | 0 | 262 | 0 | -3 | 45 |
e6add1302c8c0b6938d09deef9aee73e224f4832 | 2,362 | py | Python | tools/vim/ninja_output.py | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2019-01-28T08:09:58.000Z | 2021-11-15T15:32:10.000Z | tools/vim/ninja_output.py | maidiHaitai/haitaibrowser | a232a56bcfb177913a14210e7733e0ea83a6b18d | [
"BSD-3-Clause"
] | null | null | null | tools/vim/ninja_output.py | maidiHaitai/haitaibrowser | a232a56bcfb177913a14210e7733e0ea83a6b18d | [
"BSD-3-Clause"
] | 6 | 2020-09-23T08:56:12.000Z | 2021-11-18T03:40:49.000Z | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import sys
import os
import exceptions
import itertools
import re
if __name__ == '__main__':
if len(sys.argv) != 2:
raise exceptions.RuntimeError('E... | 35.253731 | 80 | 0.701948 | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import sys
import os
import exceptions
import itertools
import re
def GetNinjaOutputDirectory(chrome_root):
"""Returns <chrome_root>/<output_dir>/(Relea... | 0 | 0 | 0 | 0 | 1,940 | 0 | 0 | 0 | 23 |
1036b6605f5cc8baea52e6bdd3a4d604cd22c71e | 4,604 | py | Python | Kill Confirm Calculator.py | camando-73/Kill-Confirm-Calculator | d5c08f24092e99ceb3a66d8a5135c78c41879e7a | [
"MIT"
] | null | null | null | Kill Confirm Calculator.py | camando-73/Kill-Confirm-Calculator | d5c08f24092e99ceb3a66d8a5135c78c41879e7a | [
"MIT"
] | null | null | null | Kill Confirm Calculator.py | camando-73/Kill-Confirm-Calculator | d5c08f24092e99ceb3a66d8a5135c78c41879e7a | [
"MIT"
] | null | null | null | window = Tk()
window.title("Kill Confirm Calculator")
global oppKilPer
promptLabel = Label(window, text="Select your Opponents Rival").grid(row=1, column=4)
promptLabel1 = Label(window, text="by clicking a Button").grid(row=2, column=4)
#Functions containing each characters different kill percent values
#... | 37.430894 | 91 | 0.68397 | from tkinter import *
import PySimpleGUI as sg
window = Tk()
window.title("Kill Confirm Calculator")
global oppKilPer
promptLabel = Label(window, text="Select your Opponents Rival").grid(row=1, column=4)
promptLabel1 = Label(window, text="by clicking a Button").grid(row=2, column=4)
#Functions containing e... | 0 | 0 | 0 | 0 | 0 | 2,114 | 0 | 3 | 391 |
c81f3107437fcc895e116096a76e159155a09374 | 5,791 | py | Python | FindAllRNA/Archieved/encoders.py | Koushul/FindAllRNA | a2c41831f67be2cd52629ebc2ef24cfca3e172f5 | [
"MIT"
] | null | null | null | FindAllRNA/Archieved/encoders.py | Koushul/FindAllRNA | a2c41831f67be2cd52629ebc2ef24cfca3e172f5 | [
"MIT"
] | null | null | null | FindAllRNA/Archieved/encoders.py | Koushul/FindAllRNA | a2c41831f67be2cd52629ebc2ef24cfca3e172f5 | [
"MIT"
] | null | null | null |
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
if __name__ == '__main__':
# s = Seq('TTATGACCC')
# encoder = KMerEncoder(2, 50, 'constant')
# e = encoder.encode(s)
# print(s)
# print(encoder.char_to_int)
# print(e... | 29.697436 | 120 | 0.572267 |
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
from Bio import SeqIO
from Bio.Seq import Seq
import numpy as np
import random
import itertools
from textwrap import wrap
from collections import defaultdict
class AbstractSequenceEncoder:
ALLOWED_CHARACTERS = 'ATGC'
def enco... | 0 | 0 | 0 | 4,498 | 0 | 0 | 0 | 4 | 362 |
77b6756cbbe27bf7e8e52e03f492721847e9e2cc | 2,531 | py | Python | utils/reviews_utils.py | woctezuma/steam-reviews-to-sales | 51ca279d07a2a1cf26d099a5cfe51566760298cd | [
"MIT"
] | 3 | 2021-08-08T21:06:19.000Z | 2021-12-27T05:29:50.000Z | utils/reviews_utils.py | woctezuma/steam-reviews-to-sales | 51ca279d07a2a1cf26d099a5cfe51566760298cd | [
"MIT"
] | null | null | null | utils/reviews_utils.py | woctezuma/steam-reviews-to-sales | 51ca279d07a2a1cf26d099a5cfe51566760298cd | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
main()
| 28.122222 | 118 | 0.66772 | import requests
from utils.time_utils import get_target_date_as_timestamp
def get_steam_api_url(app_id):
return f"https://store.steampowered.com/appreviews/{app_id}"
def get_request_params(target_timestamp=None, verbose=True):
# References:
# - https://partner.steamgames.com/doc/store/getreviews
# ... | 0 | 0 | 0 | 0 | 0 | 2,272 | 0 | 30 | 183 |
76675b41d2da4ee91a92fb16e3bd655bdb21e69c | 17,737 | py | Python | adapters/pox/ext/debugger/component_launcher/component_launcher.py | ARCCN/elt | 3bf4e6cc0c7abbe442d6513ed294e956143c3bea | [
"BSD-3-Clause"
] | 1 | 2016-07-14T14:45:56.000Z | 2016-07-14T14:45:56.000Z | adapters/pox/ext/debugger/component_launcher/component_launcher.py | ARCCN/elt | 3bf4e6cc0c7abbe442d6513ed294e956143c3bea | [
"BSD-3-Clause"
] | null | null | null | adapters/pox/ext/debugger/component_launcher/component_launcher.py | ARCCN/elt | 3bf4e6cc0c7abbe442d6513ed294e956143c3bea | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
from pox.core import core
log = core.getLogger("ComponentLauncher")
CONFIG = ["debugger/component_launcher/component_config/",
"ext/debugger/component_launcher/component_config/",
"pox/ext/debugger/component_launcher/component_config/",
"adapters/pox... | 37.106695 | 79 | 0.537408 | from __future__ import print_function
import sys
import traceback
import inspect
import types
from ConfigParser import ConfigParser
import os
from functools import partial
from pox.boot import _do_imports
from pox.core import core
from pox.lib.revent.revent import EventHalt
log = core.getLogger("ComponentLauncher")... | 0 | 0 | 0 | 11,712 | 0 | 5,296 | 0 | 13 | 268 |
b9917b0364f6a2e7a4445c0bc9b7221c3b487eb7 | 2,771 | py | Python | wagtailnest/views.py | ionata/wagtailnest | da903db0967e6f3b87db7213c9d94c0ec98048f5 | [
"BSD-3-Clause"
] | 1 | 2018-04-11T23:47:33.000Z | 2018-04-11T23:47:33.000Z | wagtailnest/views.py | ionata/wagtailnest | da903db0967e6f3b87db7213c9d94c0ec98048f5 | [
"BSD-3-Clause"
] | 12 | 2017-07-18T01:52:06.000Z | 2021-09-08T00:15:37.000Z | wagtailnest/views.py | ionata/wagtailnest | da903db0967e6f3b87db7213c9d94c0ec98048f5 | [
"BSD-3-Clause"
] | 1 | 2017-05-05T06:18:44.000Z | 2017-05-05T06:18:44.000Z | from rest_framework.settings import api_settings
from wagtailnest.utils import (import_setting)
_permissions = {
name: import_setting(
'{}_PERMISSION_CLASSES'.format(name),
api_settings.DEFAULT_PERMISSION_CLASSES)
for name in ['PAGE', 'DOCUMENT', 'IMAGE']
}
| 36.460526 | 76 | 0.693973 | from django.views.generic.base import RedirectView
from rest_framework.generics import RetrieveAPIView
from rest_framework.settings import api_settings
from wagtail.core.models import Page
from wagtail.core.views import serve as serve_page
from wagtail.documents.views.serve import serve as serve_doc
from wagtail.images... | 0 | 0 | 0 | 1,969 | 0 | 0 | 0 | 266 | 247 |
ed915cdbf0499255e73830ce7fa7cc05fd04e05b | 6,126 | py | Python | cs15211/CheapestFlightsWithinKStops.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2021-07-05T01:53:30.000Z | 2021-07-05T01:53:30.000Z | cs15211/CheapestFlightsWithinKStops.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | null | null | null | cs15211/CheapestFlightsWithinKStops.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2018-01-08T07:14:08.000Z | 2018-01-08T07:14:08.000Z | __source__ = 'https://leetcode.com/problems/cheapest-flights-within-k-stops/'
# Time: O()
# Space: O()
#
# Description: Leetcode # 787. Cheapest Flights Within K Stops
#
# There are n cities connected by m flights.
# Each fight starts from city u and arrives at v with a price w.
#
# Now given all the cities and flight... | 31.096447 | 104 | 0.550278 | __source__ = 'https://leetcode.com/problems/cheapest-flights-within-k-stops/'
# Time: O()
# Space: O()
#
# Description: Leetcode # 787. Cheapest Flights Within K Stops
#
# There are n cities connected by m flights.
# Each fight starts from city u and arrives at v with a price w.
#
# Now given all the cities and flight... | 0 | 0 | 0 | 1,455 | 0 | 0 | 0 | -5 | 111 |
c8bd77d23986fec7b1ef68b2bccc25888a90ed92 | 1,093 | py | Python | examples/examples-by-ml-library/libraries/raw_file_example.py | cdknorow/modelstore | f08839478432b89e828a8dcb41adf27b0e3aa66b | [
"Apache-2.0"
] | 151 | 2020-09-20T14:53:06.000Z | 2022-03-22T20:49:06.000Z | examples/examples-by-ml-library/libraries/raw_file_example.py | cdknorow/modelstore | f08839478432b89e828a8dcb41adf27b0e3aa66b | [
"Apache-2.0"
] | 29 | 2020-12-07T16:27:39.000Z | 2022-03-30T22:11:17.000Z | examples/examples-by-ml-library/libraries/raw_file_example.py | cdknorow/modelstore | f08839478432b89e828a8dcb41adf27b0e3aa66b | [
"Apache-2.0"
] | 4 | 2022-01-10T17:42:02.000Z | 2022-03-07T14:14:43.000Z |
_DOMAIN_NAME = "example-model-file"
| 32.147059 | 79 | 0.709973 | import json
import os
import tempfile
from modelstore.model_store import ModelStore
_DOMAIN_NAME = "example-model-file"
def _train_and_save_example_model(tmp_dir: str) -> str:
# Create a file with a "model" -- in this case it is a json file,
# but modelstore can handle any file type
model_path = os.path... | 6 | 0 | 0 | 0 | 0 | 897 | 0 | -4 | 158 |
64a70685034132430735b61b79a01c637c745705 | 5,472 | py | Python | client/read_data.py | aitmlouk/FEDn-client-FedQAS-tf | 278a1c402b313d22a8a060a40e434a8c59dbe93b | [
"Apache-2.0"
] | 1 | 2022-02-16T05:56:43.000Z | 2022-02-16T05:56:43.000Z | client/read_data.py | aitmlouk/FEDn-client-FedQAS-tf | 278a1c402b313d22a8a060a40e434a8c59dbe93b | [
"Apache-2.0"
] | null | null | null | client/read_data.py | aitmlouk/FEDn-client-FedQAS-tf | 278a1c402b313d22a8a060a40e434a8c59dbe93b | [
"Apache-2.0"
] | null | null | null | import json
import os
from tokenizers import BertWordPieceTokenizer
from transformers import BertTokenizer
def read_data(filename, settings):
"""
Helper function to read and preprocess SQUAD data for training and validation with Keras.
:return: test, training data or validation data and nbr of examples... | 36.724832 | 119 | 0.623904 | import json
import os
import numpy as np
from tokenizers import BertWordPieceTokenizer
from transformers import BertTokenizer
class SquadExample:
"""
Process SQUAD dataset
"""
def __init__(self, question, context, start_char_idx, answer_text, all_answers):
self.question = question
sel... | 0 | 0 | 0 | 2,913 | 0 | 1,521 | 0 | -3 | 91 |
00a1b50f3dd846088071791349bcd247d295c762 | 9,000 | py | Python | data/common.py | Khanhnn00/blind-image-sr | 42bba4894ac9ee6595d2fff9b25a7678f323ad87 | [
"Apache-2.0"
] | null | null | null | data/common.py | Khanhnn00/blind-image-sr | 42bba4894ac9ee6595d2fff9b25a7678f323ad87 | [
"Apache-2.0"
] | null | null | null | data/common.py | Khanhnn00/blind-image-sr | 42bba4894ac9ee6595d2fff9b25a7678f323ad87 | [
"Apache-2.0"
] | null | null | null | import scipy.misc as misc
IMG_EXTENSIONS = ['.jpg', '.JPG', '.jpeg', '.JPEG', '.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP']
BINARY_EXTENSIONS = ['.npy']
BENCHMARK = ['Set5', 'Set14', 'B100', 'Urban100', 'Manga109', 'DIV2K', 'DF2K']
####################
# Files & IO
####################
####################
#... | 31.690141 | 113 | 0.585778 | import os
import random
import numpy as np
import scipy.misc as misc
import imageio
from tqdm import tqdm
import cv2
from PIL import Image
import torch
import torch.nn.functional as F
IMG_EXTENSIONS = ['.jpg', '.JPG', '.jpeg', '.JPEG', '.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP']
BINARY_EXTENSIONS = ['.npy']
BENCH... | 0 | 0 | 0 | 0 | 0 | 7,930 | 0 | -40 | 680 |
a0355f919cc4728a58640cd8403ab48bfc29e577 | 460 | py | Python | Exe15_triangulo_isoseles_equilatero_escaleno.py | lucaslk122/Exercicios_Python_estutura_decisao | 51a9699c5d85aa6cfb163d891c56e804a7255634 | [
"MIT"
] | null | null | null | Exe15_triangulo_isoseles_equilatero_escaleno.py | lucaslk122/Exercicios_Python_estutura_decisao | 51a9699c5d85aa6cfb163d891c56e804a7255634 | [
"MIT"
] | null | null | null | Exe15_triangulo_isoseles_equilatero_escaleno.py | lucaslk122/Exercicios_Python_estutura_decisao | 51a9699c5d85aa6cfb163d891c56e804a7255634 | [
"MIT"
] | null | null | null | print("Entre com os dados de um trangulo")
lado1 = int(input("Lado 1: "))
lado2 = int(input("Lado 2: "))
lado3 = int(input("Lado 3: "))
if lado1 < lado2 + lado3 and lado2 < lado1 + lado3 and lado3 < lado1 + lado2:
if lado1 == lado2 == lado3:
print("Tringulo equilatero")
elif lado1 != lado2 != lado3 != l... | 35.384615 | 77 | 0.626087 | print("Entre com os dados de um trangulo")
lado1 = int(input("Lado 1: "))
lado2 = int(input("Lado 2: "))
lado3 = int(input("Lado 3: "))
if lado1 < lado2 + lado3 and lado2 < lado1 + lado3 and lado3 < lado1 + lado2:
if lado1 == lado2 == lado3:
print("Triângulo equilatero")
elif lado1 != lado2 != lado3 != ... | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
67698325e8a8db41808cc663d5073ddee6cdf27f | 6,346 | py | Python | game.py | matthewspangler/quillengine | 80bce8f4d17a15766c6e43b768d3bf028c74ba73 | [
"MIT-0"
] | 1 | 2020-10-27T12:26:25.000Z | 2020-10-27T12:26:25.000Z | game.py | matthewspangler/quillengine | 80bce8f4d17a15766c6e43b768d3bf028c74ba73 | [
"MIT-0"
] | null | null | null | game.py | matthewspangler/quillengine | 80bce8f4d17a15766c6e43b768d3bf028c74ba73 | [
"MIT-0"
] | null | null | null | # -------------------------------------------------------------------- #
# game.py
# contains main game loop,
# including events, drawing, and update
# -------------------------------------------------------------------- #
# General imports:
# Game related imports:
# Local imports:
| 39.17284 | 109 | 0.608887 | # -------------------------------------------------------------------- #
# game.py
# contains main game loop,
# including events, drawing, and update
# -------------------------------------------------------------------- #
# General imports:
import sys
# Game related imports:
import pygame
import pyscroll
import py... | 0 | 0 | 0 | 5,843 | 0 | 0 | 0 | -6 | 221 |
d9f00e14ddde6217639bd67754bf5cb2607b36a4 | 7,592 | py | Python | notebooks/SignDetectorAndClassifier/src/utils/autoanchor.py | lsd-maddrive/adas_system | 0352d59a500aebbd68fbf45f416fb98d1b850e13 | [
"MIT"
] | null | null | null | notebooks/SignDetectorAndClassifier/src/utils/autoanchor.py | lsd-maddrive/adas_system | 0352d59a500aebbd68fbf45f416fb98d1b850e13 | [
"MIT"
] | 14 | 2021-10-02T10:10:45.000Z | 2022-03-26T08:32:48.000Z | notebooks/SignDetectorAndClassifier/src/utils/autoanchor.py | lsd-maddrive/adas_system | 0352d59a500aebbd68fbf45f416fb98d1b850e13 | [
"MIT"
] | null | null | null | # YOLOv5 by Ultralytics, GPL-3.0 license
"""
Auto-anchor utils
"""
import random
import numpy as np
import torch
import yaml
from tqdm import tqdm
from utils.general import LOGGER, colorstr
PREFIX = colorstr("AutoAnchor: ")
def kmean_anchors(
dataset="./data/coco128.yaml", n=9, img_size=640, thr=4.0, gen=1... | 36.854369 | 111 | 0.559405 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
"""
Auto-anchor utils
"""
import random
import numpy as np
import torch
import yaml
from tqdm import tqdm
from utils.general import LOGGER, colorstr, emojis
PREFIX = colorstr("AutoAnchor: ")
def check_anchor_order(m):
# Check anchor order against stride order for YO... | 13 | 0 | 0 | 0 | 0 | 3,726 | 0 | 8 | 127 |
453c5d60dedd3235c1f46cd9497155d8b3a70989 | 12,610 | py | Python | tests/test_sendmail.py | thijstriemstra/aiosmtplib | 39bab303bf15cc8e14aa0b7cffe800f1e7f83e58 | [
"MIT"
] | null | null | null | tests/test_sendmail.py | thijstriemstra/aiosmtplib | 39bab303bf15cc8e14aa0b7cffe800f1e7f83e58 | [
"MIT"
] | null | null | null | tests/test_sendmail.py | thijstriemstra/aiosmtplib | 39bab303bf15cc8e14aa0b7cffe800f1e7f83e58 | [
"MIT"
] | null | null | null | """
SMTP.sendmail and SMTP.send_message method testing.
"""
import email.generator
import pytest
pytestmark = pytest.mark.asyncio()
| 29.670588 | 87 | 0.691356 | """
SMTP.sendmail and SMTP.send_message method testing.
"""
import copy
import email.generator
import email.header
import pytest
from aiosmtplib import (
SMTPNotSupported,
SMTPRecipientsRefused,
SMTPResponseException,
SMTPStatus,
)
pytestmark = pytest.mark.asyncio()
async def test_sendmail_simple_... | 50 | 0 | 11,746 | 0 | 0 | 0 | 0 | 85 | 596 |
b2ddef6aa2fb689d119c86fd4710810575904ef7 | 18,985 | py | Python | Matrix_Portal_Moon_Clock/code.py | jposada202020/Adafruit_Learning_System_Guides | d9656b8ba59532926240ddee50b81160e2e3fd11 | [
"MIT"
] | 1 | 2021-01-05T02:08:27.000Z | 2021-01-05T02:08:27.000Z | Matrix_Portal_Moon_Clock/code.py | jposada202020/Adafruit_Learning_System_Guides | d9656b8ba59532926240ddee50b81160e2e3fd11 | [
"MIT"
] | null | null | null | Matrix_Portal_Moon_Clock/code.py | jposada202020/Adafruit_Learning_System_Guides | d9656b8ba59532926240ddee50b81160e2e3fd11 | [
"MIT"
] | null | null | null | """
MOON PHASE CLOCK for Adafruit Matrix Portal: displays current time, lunar
phase and time of next moonrise or moonset. Requires WiFi internet access.
Written by Phil 'PaintYourDragon' Burgess for Adafruit Industries.
MIT license, all text above must be included in any redistribution.
BDF fonts from the X.Org proje... | 43.946759 | 78 | 0.603318 | """
MOON PHASE CLOCK for Adafruit Matrix Portal: displays current time, lunar
phase and time of next moonrise or moonset. Requires WiFi internet access.
Written by Phil 'PaintYourDragon' Burgess for Adafruit Industries.
MIT license, all text above must be included in any redistribution.
BDF fonts from the X.Org proje... | 0 | 0 | 0 | 3,187 | 0 | 0 | 0 | -10 | 44 |
074a4b4261490d73d5f971d4834dfbbf2f1de8c7 | 1,688 | py | Python | loginBuptGw/loginBuptGw.py | JamesLinus/Scripts | 28aa33b60154ad11dd60c5d74642343aa5059a7f | [
"MIT"
] | 1 | 2019-04-22T09:10:46.000Z | 2019-04-22T09:10:46.000Z | loginBuptGw/loginBuptGw.py | JamesLinus/Scripts | 28aa33b60154ad11dd60c5d74642343aa5059a7f | [
"MIT"
] | null | null | null | loginBuptGw/loginBuptGw.py | JamesLinus/Scripts | 28aa33b60154ad11dd60c5d74642343aa5059a7f | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
"""
python loginBuptGw.py i
python loginBuptGw.py o
"""
import sys
reload(sys)
sys.setdefaultencoding('utf8')
uname = XXXXXX #
upass = 'XXXXXX' #
if __name__ == '__main__':
if len(sys.argv) < 2 or len(sys.argv) >= 3:
usage()
else:
if sys.argv[1] == "i":
u_pass ... | 21.1 | 174 | 0.683649 | #!/usr/bin/python
# -*- coding:utf-8 -*-
"""
北邮人网关登录脚本：
使用方法：
登录：python loginBuptGw.py i
退出：python loginBuptGw.py o
"""
import urllib2
import urllib
import cookielib
import hashlib
import os
import re
import sys
reload(sys)
sys.setdefaultencoding('utf8')
uname = XXXXXX #请正确填写学号
upass = 'XXXXXX' #请正确填写密码
def saf... | 213 | 0 | 0 | 0 | 0 | 916 | 0 | -51 | 248 |
8d9d97da1eeec5795d33bf640fc9d80248931137 | 1,639 | py | Python | trendfilter/extrapolate.py | dave31415/trendfilter | 793714359ec243857d0557ede9abcae61981f119 | [
"MIT"
] | null | null | null | trendfilter/extrapolate.py | dave31415/trendfilter | 793714359ec243857d0557ede9abcae61981f119 | [
"MIT"
] | null | null | null | trendfilter/extrapolate.py | dave31415/trendfilter | 793714359ec243857d0557ede9abcae61981f119 | [
"MIT"
] | null | null | null | from scipy.interpolate import interp1d
def vectorize(func_orig):
"""
A function that takes a function and
returns another that can fun on lists and arrays
:param func_orig: any functions
:return: vectorized function
"""
return func
def get_interp_extrapolate_functions(x, base_model, line... | 30.924528 | 84 | 0.681513 | from scipy.interpolate import interp1d
import numpy as np
def vectorize(func_orig):
"""
A function that takes a function and
returns another that can fun on lists and arrays
:param func_orig: any functions
:return: vectorized function
"""
def func(x_new):
if isinstance(x_new, list)... | 0 | 0 | 0 | 0 | 0 | 583 | 0 | -3 | 129 |
8a1e23316ee7f7cad0e7bf9eafe1c857d3b52749 | 328 | py | Python | Scripts/simulation/objects/decorative/__init__.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/objects/decorative/__init__.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/objects/decorative/__init__.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\objects\decorative\__init__.py
# Compiled at: 2009-11-20 02:49:20
# Size of source mod 2**32: 106 by... | 46.857143 | 107 | 0.728659 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\objects\decorative\__init__.py
# Compiled at: 2009-11-20 02:49:20
# Size of source mod 2**32: 106 by... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15dd6aac8e204d47fef9c8e7da2d4dd65a45dcc0 | 1,555 | py | Python | patients/migrations/0012_auto_20201104_1553.py | joshgoshbgosh/ccs-final-project | 566bf8bfaa82986010a2dfbdc3b32592c796d4a9 | [
"MIT"
] | 1 | 2020-11-05T14:21:45.000Z | 2020-11-05T14:21:45.000Z | patients/migrations/0012_auto_20201104_1553.py | joshgoshbgosh/ccs-final-project | 566bf8bfaa82986010a2dfbdc3b32592c796d4a9 | [
"MIT"
] | null | null | null | patients/migrations/0012_auto_20201104_1553.py | joshgoshbgosh/ccs-final-project | 566bf8bfaa82986010a2dfbdc3b32592c796d4a9 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-11-04 15:53
| 42.027027 | 170 | 0.583923 | # Generated by Django 3.1.2 on 2020-11-04 15:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('patients', '0011_patient_image'),
]
operations = [
migrations.CreateModel(
name='Prescription',
fields=[
... | 0 | 0 | 0 | 1,441 | 0 | 0 | 0 | 19 | 46 |
fe2ccb0b7614d1cc9f61af3c2a9134c91f178963 | 49,940 | py | Python | bin/sofa_analyze.py | pingsutw/sofa | 66b960859dde4be7143ed06ed98396c743a6478a | [
"Apache-2.0"
] | 1 | 2020-04-21T09:05:29.000Z | 2020-04-21T09:05:29.000Z | bin/sofa_analyze.py | y78078/sofa | 2f8967df18abc03cedf7a97f8bbf77164ca69bf9 | [
"Apache-2.0"
] | null | null | null | bin/sofa_analyze.py | y78078/sofa | 2f8967df18abc03cedf7a97f8bbf77164ca69bf9 | [
"Apache-2.0"
] | null | null | null | import matplotlib
matplotlib.use('agg')
import random
# input: pfv(performance feature vector), Pandas.DataFrame
# output: hint, docker_image
| 44.470169 | 259 | 0.569704 | import argparse
import matplotlib
matplotlib.use('agg')
import csv
import json
import multiprocessing as mp
import os
import random
import re
import sys
from functools import partial
from operator import attrgetter, itemgetter
import networkx as nx
import numpy as np
import pandas as pd
import time
from sofa_aisi impor... | 0 | 0 | 0 | 297 | 0 | 48,524 | 0 | -40 | 1,011 |
75cc48f5e1deff324b747de89196a4848b8c3eec | 1,439 | py | Python | backend/database.py | metabsd/GLaDOS-Potato | 40d42e3d1471cdf6f24ddd36a06c5efd5fb3726b | [
"Apache-2.0"
] | 1 | 2016-09-22T00:05:38.000Z | 2016-09-22T00:05:38.000Z | backend/database.py | metabsd/GLaDOS-Potato | 40d42e3d1471cdf6f24ddd36a06c5efd5fb3726b | [
"Apache-2.0"
] | null | null | null | backend/database.py | metabsd/GLaDOS-Potato | 40d42e3d1471cdf6f24ddd36a06c5efd5fb3726b | [
"Apache-2.0"
] | null | null | null | import MySQLdb
db = MySQLdb.connect("db", "root", "my-secret-pw", "bd_notes")
cursor = db.cursor()
global resultsExportEtudiants
resultsExportEtudiants = []
| 28.215686 | 146 | 0.512856 | import MySQLdb
db = MySQLdb.connect("db", "root", "my-secret-pw", "bd_notes")
cursor = db.cursor()
global resultsExportEtudiants
resultsExportEtudiants = []
def getetudiants():
del resultsExportEtudiants[:]
sql = "SELECT * FROM t_etudiant"
try:
cursor.execute(sql)
results = cursor.fetchal... | 0 | 0 | 0 | 0 | 0 | 1,233 | 0 | 0 | 46 |
409cef07b90435c6fa62817fde97b01e461264b5 | 3,210 | py | Python | async_blp/base_request.py | rockscie/async_blp | acb8777ccf2499681bde87d76ca780b61219699c | [
"MIT"
] | 12 | 2019-08-05T16:56:54.000Z | 2021-02-02T11:09:37.000Z | async_blp/base_request.py | lightning-like/async_blp | acb8777ccf2499681bde87d76ca780b61219699c | [
"MIT"
] | null | null | null | async_blp/base_request.py | lightning-like/async_blp | acb8777ccf2499681bde87d76ca780b61219699c | [
"MIT"
] | 5 | 2019-12-08T15:43:13.000Z | 2021-11-14T08:38:07.000Z | from async_blp.utils import log
# pylint: disable=ungrouped-imports
try:
import blpapi
except ImportError:
LOGGER = log.get_logger()
| 31.165049 | 80 | 0.62648 | import abc
import asyncio
from typing import Any
from typing import Dict
from typing import Optional
from async_blp.enums import ErrorBehaviour
from async_blp.utils import log
# pylint: disable=ungrouped-imports
try:
import blpapi
except ImportError:
from async_blp.utils import env_test as blpapi
LOGGER = lo... | 0 | 249 | 423 | 2,179 | 0 | 0 | 0 | 37 | 182 |
6059b582a58a0a62cbb1d858d37bdc9bba85ab35 | 3,108 | py | Python | qcengine/programs/madness/keywords.py | ahurta92/QCEngine | 7e7482886eb320696904a5ee35c0d37f98341728 | [
"BSD-3-Clause"
] | null | null | null | qcengine/programs/madness/keywords.py | ahurta92/QCEngine | 7e7482886eb320696904a5ee35c0d37f98341728 | [
"BSD-3-Clause"
] | null | null | null | qcengine/programs/madness/keywords.py | ahurta92/QCEngine | 7e7482886eb320696904a5ee35c0d37f98341728 | [
"BSD-3-Clause"
] | null | null | null | from typing import Any, Dict, Tuple
def format_keyword(keyword: str, val: Any, lop_off: bool = True) -> Tuple[str, str]:
"""Function to reformat value `val` for `keyword` from python into nwchem-speak."""
# Transform string booleans into " "
if val is True:
return keyword.lower(), "true"
elif... | 35.318182 | 107 | 0.536358 | import collections
from typing import Any, Dict, Tuple
def format_keyword(keyword: str, val: Any, lop_off: bool = True) -> Tuple[str, str]:
"""Function to reformat value `val` for `keyword` from python into nwchem-speak."""
# Transform string booleans into " "
if val is True:
return keyword.lower... | 0 | 0 | 0 | 0 | 0 | 39 | 0 | -3 | 49 |
b2af71edc5b61342cca24d22cee1ab418ea58547 | 1,314 | py | Python | Client/inputs.py | Cescollino/FederatedPi | e7261c04c40cc7721e77287348c557c932d58543 | [
"MIT"
] | null | null | null | Client/inputs.py | Cescollino/FederatedPi | e7261c04c40cc7721e77287348c557c932d58543 | [
"MIT"
] | null | null | null | Client/inputs.py | Cescollino/FederatedPi | e7261c04c40cc7721e77287348c557c932d58543 | [
"MIT"
] | null | null | null |
from smbus2 import SMBus
import time
# RPi Channel 1
channel = 1
bus = SMBus(channel)
# ADS1115 address and registers
address = 0x48
reg_config = 0x01
# Config value:
# - Single conversion
# - A0 input
# - 4.096V reference
config = [0xC2, 0xB3]
while True:
reg_conversion = 0x00
# Start conversion
bus.write... | 22.271186 | 62 | 0.671233 |
from smbus2 import SMBus
import time
# RPi Channel 1
channel = 1
bus = SMBus(channel)
# ADS1115 address and registers
address = 0x48
reg_config = 0x01
# Config value:
# - Single conversion
# - A0 input
# - 4.096V reference
config = [0xC2, 0xB3]
while True:
reg_conversion = 0x00
# Start conversion
bus.write... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6e22ddda76a72a3664a045ce067b390f4547bec7 | 8,076 | py | Python | utils/SamplingUtils.py | nanohedra/nanohedra | 3921b7f5ce10e0e3393c3b675bb97ccbecb96663 | [
"MIT"
] | 2 | 2020-12-07T00:38:32.000Z | 2021-05-13T19:36:17.000Z | utils/SamplingUtils.py | nanohedra/nanohedra | 3921b7f5ce10e0e3393c3b675bb97ccbecb96663 | [
"MIT"
] | null | null | null | utils/SamplingUtils.py | nanohedra/nanohedra | 3921b7f5ce10e0e3393c3b675bb97ccbecb96663 | [
"MIT"
] | 1 | 2021-05-13T19:36:18.000Z | 2021-05-13T19:36:18.000Z |
# Copyright 2020 Joshua Laniado and Todd O. Yeates.
__author__ = "Joshua Laniado and Todd O. Yeates"
__copyright__ = "Copyright 2020, Nanohedra"
__version__ = "1.0"
# ROTATION RANGE DEG
C2 = 180
C3 = 120
C4 = 90
C5 = 72
C6 = 60
RotRangeDict = {"C2": C2, "C3": C3, "C4": C4, "C5": C5, "C6": C6}
| 40.38 | 138 | 0.59943 | import numpy as np
import math
# Copyright 2020 Joshua Laniado and Todd O. Yeates.
__author__ = "Joshua Laniado and Todd O. Yeates"
__copyright__ = "Copyright 2020, Nanohedra"
__version__ = "1.0"
# ROTATION RANGE DEG
C2 = 180
C3 = 120
C4 = 90
C5 = 72
C6 = 60
RotRangeDict = {"C2": C2, "C3": C3, "C4": C4, "C5": C5, "... | 0 | 0 | 0 | 0 | 0 | 7,579 | 0 | -13 | 205 |
7ac0bfbd29d462f9bf8bf305205720af17e182d2 | 550 | py | Python | tests/handlers/test_maven_releases.py | sawood14012/fabric8-analytics-jobs | a7d850dfef5785144676b9a3b4e29942161e5347 | [
"Apache-2.0"
] | 5 | 2017-05-04T11:22:31.000Z | 2018-08-24T16:12:30.000Z | tests/handlers/test_maven_releases.py | sawood14012/fabric8-analytics-jobs | a7d850dfef5785144676b9a3b4e29942161e5347 | [
"Apache-2.0"
] | 325 | 2017-05-03T08:44:03.000Z | 2021-12-13T21:03:49.000Z | tests/handlers/test_maven_releases.py | sawood14012/fabric8-analytics-jobs | a7d850dfef5785144676b9a3b4e29942161e5347 | [
"Apache-2.0"
] | 28 | 2017-05-02T05:09:32.000Z | 2021-03-11T09:42:34.000Z | """Tests for maven_releases.py."""
# import pytest
# TODO enable when new test(s) will be added
# from f8a_jobs.handlers.maven_releases import MavenReleasesAnalyses
| 28.947368 | 84 | 0.710909 | """Tests for maven_releases.py."""
# import pytest
# TODO enable when new test(s) will be added
# from f8a_jobs.handlers.maven_releases import MavenReleasesAnalyses
class TestMavenReleasesAnalyses(object):
"""Tests for MavenReleasesAnalyses class."""
def setup_method(self, method):
"""Set up any st... | 0 | 0 | 0 | 359 | 0 | 0 | 0 | 0 | 23 |
a9553230e74a1b791dc28477f6cff5a0798d610e | 901 | py | Python | python/design_patterns/template_method.py | pgularski/snippets | 0b34ac837dd768f3dfa72dbf3e3d271c51e71da9 | [
"MIT"
] | null | null | null | python/design_patterns/template_method.py | pgularski/snippets | 0b34ac837dd768f3dfa72dbf3e3d271c51e71da9 | [
"MIT"
] | null | null | null | python/design_patterns/template_method.py | pgularski/snippets | 0b34ac837dd768f3dfa72dbf3e3d271c51e71da9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# * coding: UTF8 *
if __name__ == '__main__':
test()
| 18.02 | 44 | 0.588235 | #!/usr/bin/env python
# −*− coding: UTF−8 −*−
import abc
class HotBeverage(object):
__metaclass__ = abc.ABCMeta
def prepare(self):
self.boil_water()
self.brew()
self.pour_in_cup()
if self.customer_wants_condiments():
self.add_condiments()
@abc.abstractmethod
... | 15 | 108 | 0 | 610 | 0 | 13 | 0 | -11 | 92 |
45d6e9edd987d3f729c82e2725f851919559b12b | 1,177 | py | Python | pages/themes/ParallelProgramming-Lecture4/examples/download_images_demos/download_images_with_threas.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | pages/themes/ParallelProgramming-Lecture4/examples/download_images_demos/download_images_with_threas.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | pages/themes/ParallelProgramming-Lecture4/examples/download_images_demos/download_images_with_threas.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | import threading
import os
import time
urls = [
"https://unsplash.com/photos/CTflmHHVrBM/download?force=true",
"https://unsplash.com/photos/pWV8HjvHzk8/download?force=true",
# "https://unsplash.com/photos/1jn_3WBp60I/download?force=true",
# "https://unsplash.com/photos/8E5HawfqCMM/download?force=true",
# "https:... | 24.020408 | 65 | 0.723025 | import threading
import requests
import os
import time
def download_file(url):
file_name=url.split('/')[4]+'.jpg'
full_file_name = os.path.join(download_path,file_name)
# get image bytes
print(f"Start downloading {url}")
response = requests.get(url, allow_redirects=True)
# write image to file
with open(full... | 0 | 0 | 0 | 0 | 0 | 338 | 0 | -6 | 45 |
7e6fb24c9fdf24078eca20ccd5e9b951ede5ba72 | 350 | py | Python | lhotse/recipes/__init__.py | freewym/lhotse | 66e9bbaf25b75011388ab00189baa162c3c1d435 | [
"Apache-2.0"
] | null | null | null | lhotse/recipes/__init__.py | freewym/lhotse | 66e9bbaf25b75011388ab00189baa162c3c1d435 | [
"Apache-2.0"
] | null | null | null | lhotse/recipes/__init__.py | freewym/lhotse | 66e9bbaf25b75011388ab00189baa162c3c1d435 | [
"Apache-2.0"
] | null | null | null | from .ami import prepare_ami
from .broadcast_news import prepare_broadcast_news
from .librimix import prepare_librimix
from .librispeech import prepare_librispeech
from .switchboard import prepare_switchboard
__all__ = [
'prepare_ami',
'prepare_broadcast_news',
'prepare_librimix',
'prepare_librispeech'... | 25 | 50 | 0.794286 | from .ami import prepare_ami
from .broadcast_news import prepare_broadcast_news
from .librimix import prepare_librimix
from .librispeech import prepare_librispeech
from .switchboard import prepare_switchboard
__all__ = [
'prepare_ami',
'prepare_broadcast_news',
'prepare_librimix',
'prepare_librispeech'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
34c4a49b1a56810d1ba1396800b3826151f2cfe8 | 1,109 | py | Python | linux/local_article.py | shienka07/no_corona_zone | 3b015d3bf7bff38eadfad722da4222bf5ed92c8e | [
"Apache-2.0"
] | null | null | null | linux/local_article.py | shienka07/no_corona_zone | 3b015d3bf7bff38eadfad722da4222bf5ed92c8e | [
"Apache-2.0"
] | null | null | null | linux/local_article.py | shienka07/no_corona_zone | 3b015d3bf7bff38eadfad722da4222bf5ed92c8e | [
"Apache-2.0"
] | 4 | 2021-07-23T07:35:44.000Z | 2021-09-10T11:51:32.000Z | import re
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import argparse
import ncz
parser = argparse.ArgumentParser()
parser.add_argument('keyword1', help="main_city_name")
parser.add_argument('keyword2', help="sub_city_name")
parser.add_argument('keyword3', help="file_path")
m... | 27.04878 | 99 | 0.762849 | import re
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import argparse
import ncz
import chromedriver_binary
parser = argparse.ArgumentParser()
parser.add_argument('keyword1', help="main_city_name")
parser.add_argument('keyword2', help="sub_city_name")
parser.add_argument('key... | 57 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 23 |
4e0b4f1736db9347d30a2d18993a1c64f19dbfc6 | 504 | py | Python | node2vec/src/testNetworkX.py | CEfanmin/DataMiningProjects | b6375f542c68c0001ae2971dd7e8046a0b4afc7a | [
"MIT"
] | 3 | 2018-04-26T06:44:27.000Z | 2018-09-01T13:58:21.000Z | node2vec/src/testNetworkX.py | CEfanmin/DataMiningProjects | b6375f542c68c0001ae2971dd7e8046a0b4afc7a | [
"MIT"
] | null | null | null | node2vec/src/testNetworkX.py | CEfanmin/DataMiningProjects | b6375f542c68c0001ae2971dd7e8046a0b4afc7a | [
"MIT"
] | 1 | 2018-09-01T13:58:27.000Z | 2018-09-01T13:58:27.000Z | import networkx as nx
import matplotlib.pyplot as plt
## add a node
G = nx.Graph()
G.add_node(1)
G.add_nodes_from([2, 3])
H = nx.path_graph(10)
G.add_nodes_from(H)
G.add_node(H)
G.add_node('shopping')
## edges
G.add_edge(1, 2, {'weight': 3.1415})
e = (2, 3)
G.add_edge(*e)
G.add_edges_from([(1,2), (1,3)])
# G.add_edg... | 18 | 50 | 0.646825 | import networkx as nx
import matplotlib.pyplot as plt
## add a node
G = nx.Graph()
G.add_node(1)
G.add_nodes_from([2, 3])
H = nx.path_graph(10)
G.add_nodes_from(H)
G.add_node(H)
G.add_node('shopping')
## edges
G.add_edge(1, 2, {'weight': 3.1415})
e = (2, 3)
G.add_edge(*e)
G.add_edges_from([(1,2), (1,3)])
# G.add_edg... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7a5a12a2b65d10df25cd9f836ac609b209cce23a | 918 | py | Python | adv/mona.py | dl-stuff/dl | 185cc8a16339c47ed873768ff30804f8d06090a2 | [
"Apache-2.0"
] | 22 | 2020-04-04T17:34:16.000Z | 2021-09-25T00:22:23.000Z | adv/mona.py | dl-stuff/dl | 185cc8a16339c47ed873768ff30804f8d06090a2 | [
"Apache-2.0"
] | 92 | 2020-04-04T15:30:34.000Z | 2022-03-24T01:43:11.000Z | adv/mona.py | dl-stuff/dl | 185cc8a16339c47ed873768ff30804f8d06090a2 | [
"Apache-2.0"
] | 37 | 2020-04-16T02:47:07.000Z | 2021-03-28T23:18:50.000Z |
variants = {None: Mona, "RNG": Mona_RNG, "INFUTP": Mona_INFUTP}
| 26.228571 | 85 | 0.595861 | from core.advbase import *
from module.template import Adv_INFUTP
class Mona(Adv):
def prerun(self):
self.beast_eye = Selfbuff("beast_eye", 0.2, 30, "utph", "buff").ex_bufftime()
Event("dragon").listener(self.ddrive_buff_off)
def fs_proc(self, e):
if self.nihilism:
return
... | 0 | 0 | 0 | 714 | 0 | 0 | 0 | 22 | 113 |
8948fe9ebd947bd18a879bad266e94c8f09b14d4 | 89 | py | Python | Code/facebook_credentials.py | PritomDas/Automated-Tinder-AI-Bot | 085a41c586671767b976f18627d8f72ed3614dcd | [
"MIT"
] | 1 | 2020-02-11T06:44:33.000Z | 2020-02-11T06:44:33.000Z | Code/facebook_credentials.py | PritomDas/Automated-Tinder-AI-Bot | 085a41c586671767b976f18627d8f72ed3614dcd | [
"MIT"
] | 1 | 2020-02-11T06:56:48.000Z | 2020-02-11T06:56:48.000Z | Code/facebook_credentials.py | PritomDas/Automated-Tinder-AI-Bot | 085a41c586671767b976f18627d8f72ed3614dcd | [
"MIT"
] | null | null | null | username = '' #enter your facebook user name
password = '' #enter your facebook password
| 29.666667 | 44 | 0.741573 | username = '' #enter your facebook user name
password = '' #enter your facebook password
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de336d770cfcbea47a843316d1fc22134021b6c5 | 908 | py | Python | main.py | arieroos/crypto-trader | c419f712fd7c501507c99a48a142e909f92a949c | [
"MIT"
] | 2 | 2021-09-08T07:23:51.000Z | 2021-11-08T14:59:32.000Z | main.py | arieroos/crypto-trader | c419f712fd7c501507c99a48a142e909f92a949c | [
"MIT"
] | null | null | null | main.py | arieroos/crypto-trader | c419f712fd7c501507c99a48a142e909f92a949c | [
"MIT"
] | null | null | null | import sys
import error_handler
import valr
UNKNOWN_TREND = "unknown"
DOWN_TREND = "down"
UP_TREND = "up"
if __name__ == "__main__":
sys.excepthook = error_handler.excepthook
orders = [x for x in valr.get_open_orders() if x["side"].upper() == "BUY"]
if len(orders) > 0:
log("open orders found: ... | 24.540541 | 78 | 0.65859 | import sys
from datetime import datetime
import error_handler
import valr
UNKNOWN_TREND = "unknown"
DOWN_TREND = "down"
UP_TREND = "up"
def log(msg: str):
print(f"[{datetime.now()}] {msg}", flush=True)
if __name__ == "__main__":
sys.excepthook = error_handler.excepthook
orders = [x for x in valr.get_... | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 8 | 45 |
b7bab76e2c1606435bce4d050c6f35fd5a5ee94d | 2,106 | py | Python | bucket_manifest/utils.py | uc-cdis/cdis-dataflow-templates | 6a3d28d27094db34e2df6ef10d61a700bfc6c94d | [
"Apache-2.0"
] | null | null | null | bucket_manifest/utils.py | uc-cdis/cdis-dataflow-templates | 6a3d28d27094db34e2df6ef10d61a700bfc6c94d | [
"Apache-2.0"
] | 1 | 2020-06-17T21:54:37.000Z | 2020-06-17T21:54:37.000Z | bucket_manifest/utils.py | uc-cdis/cdis-dataflow-templates | 6a3d28d27094db34e2df6ef10d61a700bfc6c94d | [
"Apache-2.0"
] | null | null | null | import csv
from google.cloud import storage
import logging
def write_tsv(filename, files, fieldnames=None):
"""
write to tsv file
Args:
filename(str): file name
files(list(dict)): list of file info
[
{
"GUID": "guid_example",
"filename":... | 26.325 | 97 | 0.565052 | import csv
from google.cloud import storage
import logging
def write_tsv(filename, files, fieldnames=None):
"""
write to tsv file
Args:
filename(str): file name
files(list(dict)): list of file info
[
{
"GUID": "guid_example",
"filename":... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
72412d50c7dc555be4686d28e6d8ca8e63ec7561 | 539 | py | Python | main/templatetags/custom_tags.py | CrazyOrr/gamemob | defdf748d8860ac9a1af317781c4b88421326762 | [
"Apache-2.0"
] | null | null | null | main/templatetags/custom_tags.py | CrazyOrr/gamemob | defdf748d8860ac9a1af317781c4b88421326762 | [
"Apache-2.0"
] | null | null | null | main/templatetags/custom_tags.py | CrazyOrr/gamemob | defdf748d8860ac9a1af317781c4b88421326762 | [
"Apache-2.0"
] | null | null | null | __author__ = 'wanglei02'
from django import template
register = template.Library()
| 23.434783 | 57 | 0.658627 | __author__ = 'wanglei02'
from django import template
from django.utils.html import conditional_escape
from django.utils.safestring import mark_safe
register = template.Library()
@register.filter(name='join_link', needs_autoescape=True)
def join_link(value, arg, autoescape=True):
arr = []
if autoescape:
... | 0 | 335 | 0 | 0 | 0 | 0 | 0 | 51 | 67 |