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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
22e987fdaffc1da25e1f0e351d6a5f530f8a1785 | 48 | py | Python | sensor/__init__.py | Boquete/smoger | ceb25137684334cba0625ca669c6e786c27bbb06 | [
"Apache-2.0"
] | 2 | 2018-03-13T18:22:18.000Z | 2018-03-24T16:48:26.000Z | sensor/__init__.py | Boquete/smoger | ceb25137684334cba0625ca669c6e786c27bbb06 | [
"Apache-2.0"
] | null | null | null | sensor/__init__.py | Boquete/smoger | ceb25137684334cba0625ca669c6e786c27bbb06 | [
"Apache-2.0"
] | null | null | null | default_app_config = 'sensor.apps.SmogerConfig'
| 24 | 47 | 0.833333 | default_app_config = 'sensor.apps.SmogerConfig'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
63a39dd2b74d99d3ae37afd2f983746c46666c93 | 67 | py | Python | lectures/code/list_filter.py | naskoch/python_course | 84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3 | [
"MIT"
] | 4 | 2015-08-10T17:46:55.000Z | 2020-04-18T21:09:03.000Z | lectures/code/list_filter.py | naskoch/python_course | 84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3 | [
"MIT"
] | null | null | null | lectures/code/list_filter.py | naskoch/python_course | 84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3 | [
"MIT"
] | 2 | 2019-04-24T03:31:02.000Z | 2019-05-13T07:36:06.000Z | l = range(8)
print filter(lambda x: x % 2 == 0, l)
# [0, 2, 4, 6]
| 13.4 | 37 | 0.492537 | l = range(8)
print filter(lambda x: x % 2 == 0, l)
# [0, 2, 4, 6]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5df99fe4deec0c6b7e42e4e7c61cbe46113104c4 | 3,014 | py | Python | tests/pystrings/test_lineup_students.py | BrianLusina/PyCharm | 144dd4f6b2d254507237f46c8ee175c407fe053d | [
"Apache-2.0",
"MIT"
] | null | null | null | tests/pystrings/test_lineup_students.py | BrianLusina/PyCharm | 144dd4f6b2d254507237f46c8ee175c407fe053d | [
"Apache-2.0",
"MIT"
] | null | null | null | tests/pystrings/test_lineup_students.py | BrianLusina/PyCharm | 144dd4f6b2d254507237f46c8ee175c407fe053d | [
"Apache-2.0",
"MIT"
] | null | null | null |
s1 = "Tadashi Takahiro Takao Takashi Takayuki Takehiko Takeo Takeshi Takeshi"
lst1 = [
"Takehiko",
"Takayuki",
"Takahiro",
"Takeshi",
"Takeshi",
"Takashi",
"Tadashi",
"Takeo",
"Takao",
]
s2 = "Michio Miki Mikio Minori Minoru Mitsuo Mitsuru Nao Naoki Naoko Noboru Nobu Nobuo ,Nobuyu... | 19.828947 | 747 | 0.585601 | import unittest
from pystrings.lineup_students import lineup_students
s1 = "Tadashi Takahiro Takao Takashi Takayuki Takehiko Takeo Takeshi Takeshi"
lst1 = [
"Takehiko",
"Takayuki",
"Takahiro",
"Takeshi",
"Takeshi",
"Takashi",
"Tadashi",
"Takeo",
"Takao",
]
s2 = "Michio Miki Mikio... | 0 | 0 | 0 | 239 | 0 | 0 | 0 | 26 | 68 |
2a7726202ca6d690fb3d53d3381336f8576ffc4e | 4,179 | py | Python | unittest/scripts/auto/py_shell/validation/plugin_cli_integration_norecord.py | mueller/mysql-shell | 29bafc5692bd536a12c4e41c54cb587375fe52cf | [
"Apache-2.0"
] | null | null | null | unittest/scripts/auto/py_shell/validation/plugin_cli_integration_norecord.py | mueller/mysql-shell | 29bafc5692bd536a12c4e41c54cb587375fe52cf | [
"Apache-2.0"
] | 1 | 2021-09-12T22:07:06.000Z | 2021-09-12T22:07:06.000Z | unittest/scripts/auto/py_shell/validation/plugin_cli_integration_norecord.py | mueller/mysql-shell | 29bafc5692bd536a12c4e41c54cb587375fe52cf | [
"Apache-2.0"
] | null | null | null | #@<OUT> CLI --help
The following objects provide command line operations:
cli_tester
CLI Integration Testing Plugin
cluster
Represents an InnoDB cluster.
dba
InnoDB cluster and replicaset management functions.
rs
Represents an InnoDB ReplicaSet.
shell
Gives access to ge... | 25.796296 | 81 | 0.734865 | #@<OUT> CLI --help
The following objects provide command line operations:
cli_tester
CLI Integration Testing Plugin
cluster
Represents an InnoDB cluster.
dba
InnoDB cluster and replicaset management functions.
rs
Represents an InnoDB ReplicaSet.
shell
Gives access to ge... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
36840bcc724e35743cfcc58a05740a503f98cad9 | 2,507 | py | Python | neurons/form/test/__init__.py | plq/neurons | f3627975daa3662e3a14265dca1150799ca0d27a | [
"BSD-3-Clause"
] | 4 | 2015-07-14T09:37:11.000Z | 2017-01-07T09:55:59.000Z | neurons/form/test/__init__.py | arskom/neurons | d969dbac6c10a5cc1da32031740883e450889414 | [
"BSD-3-Clause"
] | 3 | 2016-06-02T13:52:38.000Z | 2018-11-22T08:55:20.000Z | neurons/form/test/__init__.py | plq/neurons | f3627975daa3662e3a14265dca1150799ca0d27a | [
"BSD-3-Clause"
] | 7 | 2015-02-01T14:02:33.000Z | 2016-07-21T20:14:23.000Z | # encoding: utf8
#
# This file is part of the Neurons project.
# Copyright (c), Arskom Ltd. (arskom.com.tr),
# Burak Arslan <burak.arslan@arskom.com.tr>.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following... | 38.569231 | 80 | 0.69645 | # encoding: utf8
#
# This file is part of the Neurons project.
# Copyright (c), Arskom Ltd. (arskom.com.tr),
# Burak Arslan <burak.arslan@arskom.com.tr>.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following... | 0 | 0 | 0 | 0 | 0 | 763 | 0 | 1 | 46 |
c1ed7b55dbc27e47f041d53b097d4e35886d4daf | 779 | py | Python | storagedef/tests/test_session.py | gjo/storagedef | f5574378220369441c5480cb10d77f7b739e25be | [
"BSD-3-Clause"
] | null | null | null | storagedef/tests/test_session.py | gjo/storagedef | f5574378220369441c5480cb10d77f7b739e25be | [
"BSD-3-Clause"
] | null | null | null | storagedef/tests/test_session.py | gjo/storagedef | f5574378220369441c5480cb10d77f7b739e25be | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
| 31.16 | 74 | 0.657253 | # -*- coding: utf-8 -*-
import unittest
class SessionTestCase(unittest.TestCase):
def test_load_localmemory(self):
from ..session import Session
from ..engines.localmemory import LocalMemoryStorageEngine
session = Session.from_config({
'provider':
'storagedef.... | 0 | 0 | 0 | 714 | 0 | 0 | 0 | -6 | 46 |
658e89ebe4dc3efb089e3dfff25af7b188ed2930 | 1,922 | py | Python | python/gini.py | bpalmer4/code-snippets | e87f7baade69ff25e062f54d58b3f6f611c4c283 | [
"MIT"
] | null | null | null | python/gini.py | bpalmer4/code-snippets | e87f7baade69ff25e062f54d58b3f6f611c4c283 | [
"MIT"
] | null | null | null | python/gini.py | bpalmer4/code-snippets | e87f7baade69ff25e062f54d58b3f6f611c4c283 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
def gini(x):
"""Calculate the Gini coefficient for series of observed values (x).
where:
* x is the array of observed values (and all x are positive, non-zero values)
Note: x must be a numpy array or a pandas series
See: https://www.statsdirect.com/help/def... | 33.137931 | 84 | 0.631113 | import pandas as pd
import numpy as np
def gini(x):
"""Calculate the Gini coefficient for series of observed values (x).
where:
* x is the array of observed values (and all x are positive, non-zero values)
Note: x must be a numpy array or a pandas series
See: https://www.statsdirect.com/help/def... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c9a2aaa41b86faa1fb98953ab14ca22b8ca32369 | 3,160 | py | Python | plugins/data/extract/link/referer-parser/sync_data.py | sniperkit/colly | 4d1ea7dfb014b9ef4857bd9f24cad223a723938f | [
"Apache-2.0"
] | 2 | 2020-11-07T14:45:16.000Z | 2020-12-19T20:26:15.000Z | plugins/data/extract/link/referer-parser/sync_data.py | sniperkit/colly | 4d1ea7dfb014b9ef4857bd9f24cad223a723938f | [
"Apache-2.0"
] | 5 | 2021-03-10T09:06:43.000Z | 2022-02-27T00:15:52.000Z | vendor/snowplow/referer-parser/sync_data.py | Jihun0109/marketing | c34f3a67cfbb2f7ea004cef9ac210c0eb5e4893c | [
"MIT"
] | 1 | 2019-09-20T20:44:02.000Z | 2019-09-20T20:44:02.000Z | #!/usr/bin/env python
# Copyright (c) 2013 Martin Katrenik, Snowplow Analytics Ltd. All rights reserved.
#
# This program is licensed to you under the Apache License Version 2.0,
# and you may not use this file except in compliance with the Apache
# License Version 2.0.
# You may obtain a copy of the Apache License Ve... | 30.384615 | 139 | 0.713291 | #!/usr/bin/env python
# Copyright (c) 2013 Martin Katrenik, Snowplow Analytics Ltd. All rights reserved.
#
# This program is licensed to you under the Apache License Version 2.0,
# and you may not use this file except in compliance with the Apache
# License Version 2.0.
# You may obtain a copy of the Apache License Ve... | 0 | 0 | 0 | 0 | 0 | 575 | 0 | -28 | 178 |
1aad48197290a7a10b69c9b0eba6aad4a26e0194 | 476 | py | Python | core/handle_config.py | willdx/sensor_agent | 28eebc8cb17dc53b5657d3898a196724da882ac8 | [
"MIT"
] | null | null | null | core/handle_config.py | willdx/sensor_agent | 28eebc8cb17dc53b5657d3898a196724da882ac8 | [
"MIT"
] | null | null | null | core/handle_config.py | willdx/sensor_agent | 28eebc8cb17dc53b5657d3898a196724da882ac8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
File Name: handle_config.py
Author: WillDX
mail: xiang.dai@shuyun.com
Created Time: 20160419 093658
'''
| 23.8 | 61 | 0.701681 | # -*- coding: utf-8 -*-
'''
File Name: handle_config.py
Author: WillDX
mail: xiang.dai@shuyun.com
Created Time: 2016年04月19日 星期二 09时36分58秒
'''
import json
from ConfigParser import ConfigParser
def handle(configfile,item_name):
#print "[configfile]:%s" % configfile
cp = ConfigParser()
cp.read(configfile)
... | 69 | 0 | 0 | 0 | 0 | 246 | 0 | 6 | 67 |
010a24de4b223fa7a4bf486d182055d2f5cfb459 | 88,207 | py | Python | main.py | JunweiLiang/Object_Detection_Tracking | f86caaec97669a6da56f1b402cca4e179a85d2f0 | [
"MIT"
] | 328 | 2019-05-27T03:09:02.000Z | 2022-03-31T05:12:04.000Z | main.py | AnjaliPC/Object_Detection_Tracking | f86caaec97669a6da56f1b402cca4e179a85d2f0 | [
"MIT"
] | 43 | 2019-06-05T14:04:09.000Z | 2022-01-25T03:16:39.000Z | main.py | AnjaliPC/Object_Detection_Tracking | f86caaec97669a6da56f1b402cca4e179a85d2f0 | [
"MIT"
] | 107 | 2019-05-27T06:26:38.000Z | 2022-03-25T03:32:58.000Z | # coding=utf-8
"""
main script for training and testing mask rcnn on MSCOCO/DIVA/MEVA dataset
multi gpu version
"""
import time
import os
import threading
# so here won"t have poll allocator info
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
# solve the issue of a bug in while loop, when you import the graph in
# multi-... | 38.704256 | 131 | 0.612831 | # coding=utf-8
"""
main script for training and testing mask rcnn on MSCOCO/DIVA/MEVA dataset
multi gpu version
"""
import argparse
import cv2
import math
import json
import random
import operator
import time
import os
import pickle
import sys
import threading
# so here won"t have poll allocator info
os.environ["T... | 0 | 0 | 0 | 0 | 0 | 83,635 | 0 | 326 | 1,241 |
e161d2751528bb56774b08bbf120664eaeffc03a | 1,929 | py | Python | estimators/single_ix_stratification.py | saadlabyad/aslsd | 95a1cc660079972b45a77ec6dc587d9225489212 | [
"BSD-3-Clause"
] | null | null | null | estimators/single_ix_stratification.py | saadlabyad/aslsd | 95a1cc660079972b45a77ec6dc587d9225489212 | [
"BSD-3-Clause"
] | null | null | null | estimators/single_ix_stratification.py | saadlabyad/aslsd | 95a1cc660079972b45a77ec6dc587d9225489212 | [
"BSD-3-Clause"
] | null | null | null | # License: BSD 3 clause
| 35.072727 | 75 | 0.567652 | # License: BSD 3 clause
import numpy as np
class SingleIxStratification:
def __init__(self, n_events_i, **kwargs):
self.n_events_i = n_events_i
self.n_exact = kwargs.get('n_exact', 10**4)
self.strata = kwargs.get('strata', None)
self.n_strata = kwargs.get('n_strata', Non... | 0 | 0 | 0 | 1,855 | 0 | 0 | 0 | -3 | 50 |
7cdbc9bb02cf3f232c29d81fee332bc8cb2ff426 | 10,611 | py | Python | tests/integration/resources_permissions/test_modules_resources.py | aavcc/taiga-openshift | 7c33284573ceed38f755b8159ad83f3f68d2f7cb | [
"MIT"
] | null | null | null | tests/integration/resources_permissions/test_modules_resources.py | aavcc/taiga-openshift | 7c33284573ceed38f755b8159ad83f3f68d2f7cb | [
"MIT"
] | 12 | 2019-11-25T14:08:32.000Z | 2021-06-24T10:35:51.000Z | tests/integration/resources_permissions/test_modules_resources.py | threefoldtech/Threefold-Circles | cbc433796b25cf7af9a295af65d665a4a279e2d6 | [
"Apache-2.0"
] | 1 | 2018-06-07T10:58:15.000Z | 2018-06-07T10:58:15.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2014-2017 Andrey Antukh <niwi@niwi.nz>
# Copyright (C) 2014-2017 Jess Espino <jespinog@gmail.com>
# Copyright (C) 2014-2017 David Barragn <bameda@dbarragan.com>
# Copyright (C) 2014-2017 Alejandro Alonso <alejandro.alonso@kaleidos.net>
# Copyright (C) 2014-2017 Anler Hernndez <he... | 46.336245 | 113 | 0.628499 | # -*- coding: utf-8 -*-
# Copyright (C) 2014-2017 Andrey Antukh <niwi@niwi.nz>
# Copyright (C) 2014-2017 Jesús Espino <jespinog@gmail.com>
# Copyright (C) 2014-2017 David Barragán <bameda@dbarragan.com>
# Copyright (C) 2014-2017 Alejandro Alonso <alejandro.alonso@kaleidos.net>
# Copyright (C) 2014-2017 Anler Hernández ... | 6 | 4,152 | 0 | 0 | 0 | 4,716 | 0 | 286 | 408 |
cd2800c70b3b2e622fe1914ac86a58e45bb8462d | 5,068 | py | Python | rssdldmng/rssdldapi.py | alexpayne482/rssdldmng | 4428f10171902861702fc0f528d3d9576923541a | [
"MIT"
] | null | null | null | rssdldmng/rssdldapi.py | alexpayne482/rssdldmng | 4428f10171902861702fc0f528d3d9576923541a | [
"MIT"
] | 1 | 2019-11-25T15:54:02.000Z | 2019-11-25T15:54:02.000Z | rssdldmng/rssdldapi.py | alexpayne482/rssdldmng | 4428f10171902861702fc0f528d3d9576923541a | [
"MIT"
] | null | null | null | import logging
_LOGGER = logging.getLogger(__name__)
| 38.687023 | 112 | 0.545185 | import logging
from rssdldmng.utils.restserver import RESTHttpServer
_LOGGER = logging.getLogger(__name__)
class ApiServer(RESTHttpServer):
def __init__(self, port, mng):
self.routes = {
r'^/$': {'file': '/index.html', 'media_type': 'text/html'},
r'^\/(... | 0 | 0 | 0 | 4,927 | 0 | 0 | 0 | 32 | 50 |
c67749db26476426cc9820a06907a762ef3a4bc1 | 4,477 | py | Python | vimeoct/settings.py | nkawa/vimeo-coursetool | 729215fe23b1bf05918a38d21e585a7b8862e75a | [
"Apache-2.0"
] | null | null | null | vimeoct/settings.py | nkawa/vimeo-coursetool | 729215fe23b1bf05918a38d21e585a7b8862e75a | [
"Apache-2.0"
] | null | null | null | vimeoct/settings.py | nkawa/vimeo-coursetool | 729215fe23b1bf05918a38d21e585a7b8862e75a | [
"Apache-2.0"
] | null | null | null | """
Django settings for vimeoct project.
Generated by 'django-admin startproject' using Django 3.2.8.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from dotenv ... | 26.181287 | 91 | 0.715881 | """
Django settings for vimeoct project.
Generated by 'django-admin startproject' using Django 3.2.8.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from dotenv ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
170b9d642252f24e9587f0ac465d2676a5e83e22 | 478 | py | Python | discord/ext/wizard/__init__.py | Makiyu-py/discord-ext-wizard | 59bd066ab451ee41d267aefe5f71e8485f6bc4a0 | [
"MIT"
] | 4 | 2021-04-02T16:16:50.000Z | 2021-08-03T13:21:45.000Z | discord/ext/wizard/__init__.py | Makiyu-py/discord-ext-wizard | 59bd066ab451ee41d267aefe5f71e8485f6bc4a0 | [
"MIT"
] | 7 | 2021-05-14T11:31:50.000Z | 2021-05-27T09:06:45.000Z | discord/ext/wizard/__init__.py | Makiyu-py/discord-ext-wizard | 59bd066ab451ee41d267aefe5f71e8485f6bc4a0 | [
"MIT"
] | 1 | 2021-05-18T23:58:23.000Z | 2021-05-18T23:58:23.000Z | from collections import namedtuple
_VersionInfo = namedtuple("_VersionInfo", "major minor patch")
version_info = _VersionInfo(0, 3, 0)
__version__ = ".".join(str(v) for v in version_info)
__license__ = "MIT"
__author__ = "FalseDev"
__title__ = "discord-ext-wizard"
__copyright__ = "Copyright 2021 {}".format(__author__... | 28.117647 | 66 | 0.738494 | from collections import namedtuple
_VersionInfo = namedtuple("_VersionInfo", "major minor patch")
version_info = _VersionInfo(0, 3, 0)
__version__ = ".".join(str(v) for v in version_info)
__license__ = "MIT"
__author__ = "FalseDev"
__title__ = "discord-ext-wizard"
__copyright__ = "Copyright 2021 {}".format(__author__... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 |
d2a1e5d665881867fbf743ab4d526c8f32e55e2d | 14,088 | py | Python | trans_ms/transport_management/doctype/transportation_order/transportation_order.py | mohsinalimat/transport | 3d32bd27f505f64b948f48d0bfc5c7ccaf61c4a2 | [
"MIT"
] | null | null | null | trans_ms/transport_management/doctype/transportation_order/transportation_order.py | mohsinalimat/transport | 3d32bd27f505f64b948f48d0bfc5c7ccaf61c4a2 | [
"MIT"
] | null | null | null | trans_ms/transport_management/doctype/transportation_order/transportation_order.py | mohsinalimat/transport | 3d32bd27f505f64b948f48d0bfc5c7ccaf61c4a2 | [
"MIT"
] | null | null | null | # Copyright (c) 2021, Aakvatech Limited and contributors
# For license information, please see license.txt
# import frappe
from __future__ import unicode_literals
| 37.870968 | 158 | 0.565233 | # Copyright (c) 2021, Aakvatech Limited and contributors
# For license information, please see license.txt
# import frappe
from __future__ import unicode_literals
import frappe
import time
import datetime
from frappe.model.document import Document
from frappe import _
import json
from frappe.utils import nowdate
from ... | 0 | 6,309 | 0 | 7,293 | 0 | 0 | 0 | 26 | 291 |
c94324dc07f3d22abb00e60ed1680dcaf4d026ca | 2,149 | py | Python | vc3/preprocess.py | ta1fukawa/vc-beta | c3a80c44be90f72bfe0bcac08f27c4882700c9b6 | [
"MIT"
] | null | null | null | vc3/preprocess.py | ta1fukawa/vc-beta | c3a80c44be90f72bfe0bcac08f27c4882700c9b6 | [
"MIT"
] | null | null | null | vc3/preprocess.py | ta1fukawa/vc-beta | c3a80c44be90f72bfe0bcac08f27c4882700c9b6 | [
"MIT"
] | null | null | null | import argparse
import pathlib
import sys
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Convert wav to mel spectrogram')
parser.add_argument('wav_dir', type=pathlib.Path, help='path to directory of speaker directories containing wav files')
parser.add_argument('mel_dir', ... | 33.578125 | 128 | 0.642624 | import argparse
import pathlib
import sys
import torch
import torchaudio
import yaml
import common
def main(wav_dir, mel_dir, embed_dir, encoder_path, config_path):
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
encoder = torch.load(encoder_path).to(device).eval()
config = yaml.l... | 0 | 0 | 0 | 0 | 0 | 1,091 | 0 | -31 | 113 |
6d53251e78bb7ec25c3252e40a239ccdb6143e6e | 5,948 | py | Python | docweb/views_wiki.py | pv/pydocweb | 05c7b69c3903e2bb90cca511f18f9c10d7926cc6 | [
"BSD-3-Clause"
] | 2 | 2016-07-26T17:13:00.000Z | 2017-12-13T12:46:46.000Z | docweb/views_wiki.py | pv/pydocweb | 05c7b69c3903e2bb90cca511f18f9c10d7926cc6 | [
"BSD-3-Clause"
] | null | null | null | docweb/views_wiki.py | pv/pydocweb | 05c7b69c3903e2bb90cca511f18f9c10d7926cc6 | [
"BSD-3-Clause"
] | null | null | null | import pydocweb.docweb.rst as rst
#------------------------------------------------------------------------------
# Wiki
#------------------------------------------------------------------------------
WIKI_CACHE_AGE = 60
| 37.408805 | 118 | 0.535138 | import pydocweb.docweb.rst as rst
from pydocweb.docweb.utils import *
from pydocweb.docweb.models import *
from views_docstring import EditForm
#------------------------------------------------------------------------------
# Wiki
#------------------------------------------------------------------------------
WIKI_C... | 0 | 2,424 | 0 | 0 | 0 | 3,052 | 0 | 44 | 205 |
32b11fcdda72235ee222465e07bdb3c68d9c7cb7 | 3,006 | py | Python | src/app.py | colin-chang/md2html | 9fba39ee309c61515955090690b801fc37845e91 | [
"MIT"
] | 1 | 2020-01-06T10:07:17.000Z | 2020-01-06T10:07:17.000Z | src/app.py | colin-chang/md2html | 9fba39ee309c61515955090690b801fc37845e91 | [
"MIT"
] | null | null | null | src/app.py | colin-chang/md2html | 9fba39ee309c61515955090690b801fc37845e91 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
from platform import system
input_arg = output_arg = None
if __name__ == "__main__":
if system() != 'Linux' and system() != 'Darwin':
print('only linux is supported currently')
else:
main()
| 31.978723 | 86 | 0.57352 | # -*- coding:utf-8 -*-
import shutil
import os
import sys
import subprocess
from platform import system
input_arg = output_arg = None
def main():
args = sys.argv
if len(args) < 3:
print('missing 2 required positional argument:"input","output"')
return
global input_arg, output_arg
in... | 0 | 0 | 0 | 0 | 0 | 2,641 | 0 | -35 | 157 |
a61f85fa9ce56be8d28765166b20414be4530278 | 2,571 | py | Python | church/cli.py | mdickinson/alonzo | a66d4c253c9f4338ebf1177a0b0e84bf7cc9c0f6 | [
"Apache-2.0"
] | null | null | null | church/cli.py | mdickinson/alonzo | a66d4c253c9f4338ebf1177a0b0e84bf7cc9c0f6 | [
"Apache-2.0"
] | null | null | null | church/cli.py | mdickinson/alonzo | a66d4c253c9f4338ebf1177a0b0e84bf7cc9c0f6 | [
"Apache-2.0"
] | null | null | null | """
To do:
- catch KeyboardInterrupt while evaluating
- show all?
- show statistics
- fix up exception handling; decorator?
"""
INTRO_TEXT = """\
Welcome to the interactive lambda calculus interpreter.
Type 'help' to see supported commands.
"""
| 23.587156 | 65 | 0.580319 | """
To do:
- catch KeyboardInterrupt while evaluating
- show all?
- show statistics
- fix up exception handling; decorator?
"""
import cmd
from church.ast import ParseError
from church.environment import (
UndefinedNameError,
)
from church.eval import (
environment,
reduce,
Suspension,
)
from church.... | 0 | 0 | 0 | 1,999 | 0 | 0 | 0 | 166 | 156 |
d1fae01ff815b39362b9f115804b8421474f2b1b | 600 | py | Python | big_data/maps/convert_rates_tsv_to_json.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | null | null | null | big_data/maps/convert_rates_tsv_to_json.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | 7 | 2020-06-05T18:13:25.000Z | 2022-03-11T23:19:48.000Z | big_data/maps/convert_rates_tsv_to_json.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | 1 | 2020-11-25T18:24:37.000Z | 2020-11-25T18:24:37.000Z | import pprint
pp = pprint.PrettyPrinter(indent = 4)
if __name__ == '__main__':
pp.pprint(main())
| 23.076923 | 71 | 0.506667 | import pprint
import json
pp = pprint.PrettyPrinter(indent = 4)
def convert(path):
with open(path, 'r') as read_obj:
line = 'init'
counter = 0
l = []
while line:
line = read_obj.readline()
counter += 1
if counter == 1:
continue
... | 0 | 0 | 0 | 0 | 0 | 440 | 0 | -10 | 68 |
4330ac10e234b0ed1e230392a489121eb2e4a3a4 | 610 | py | Python | 9/9-1-2.py | liuhanyu200/pygame | 38a68e779e6b0a63edb1758fca98ebbf40bb0444 | [
"BSD-3-Clause"
] | null | null | null | 9/9-1-2.py | liuhanyu200/pygame | 38a68e779e6b0a63edb1758fca98ebbf40bb0444 | [
"BSD-3-Clause"
] | null | null | null | 9/9-1-2.py | liuhanyu200/pygame | 38a68e779e6b0a63edb1758fca98ebbf40bb0444 | [
"BSD-3-Clause"
] | null | null | null | # coding:utf-8
restaurant = Restaurant('', 'duck')
print(restaurant.restaurant_name)
print(restaurant.cuisine_type)
restaurant.describe_restaurant()
restaurant.open_restaurant()
| 27.727273 | 59 | 0.72623 | # coding:utf-8
class Restaurant(object):
def __init__(self, restaurant_name, cuisine_type):
self.restaurant_name = restaurant_name
self.cuisine_type = cuisine_type
def describe_restaurant(self):
print("restaurant name is " + self.restaurant_name)
print("cuisine_type is " + self... | 21 | 76 | 0 | 324 | 0 | 0 | 0 | 0 | 23 |
534ab4de75347d1cad8852248bb5bb829a73b542 | 2,351 | py | Python | sprocket/util/hdf5.py | zhouming-hfut/sprocket | 68d4005284b72a891d0c0f81afabea087fc45960 | [
"MIT"
] | null | null | null | sprocket/util/hdf5.py | zhouming-hfut/sprocket | 68d4005284b72a891d0c0f81afabea087fc45960 | [
"MIT"
] | null | null | null | sprocket/util/hdf5.py | zhouming-hfut/sprocket | 68d4005284b72a891d0c0f81afabea087fc45960 | [
"MIT"
] | 1 | 2020-06-29T03:09:23.000Z | 2020-06-29T03:09:23.000Z | # -*- coding: utf-8 -*-
| 22.825243 | 69 | 0.518503 | # -*- coding: utf-8 -*-
import os
import h5py
class HDF5(object):
"""HDF5 handler
Offer the hdf5 format file handler
Parameters
---------
fpath : str,
Path of hdf5 file
mode : str,
Open h5 as write and/or read mode
`a` : open as read/write (Default)
`w` : ope... | 0 | 0 | 0 | 2,280 | 0 | 0 | 0 | -22 | 68 |
24b126d6fe31cd3452fad67f497ed45acbd26584 | 2,370 | py | Python | neuronit/play/migrations/0019_auto_20170406_1114.py | neuronit/pfa | 6483f23de3ac43ae1121760ab44a2cae1f2cc901 | [
"MIT"
] | null | null | null | neuronit/play/migrations/0019_auto_20170406_1114.py | neuronit/pfa | 6483f23de3ac43ae1121760ab44a2cae1f2cc901 | [
"MIT"
] | null | null | null | neuronit/play/migrations/0019_auto_20170406_1114.py | neuronit/pfa | 6483f23de3ac43ae1121760ab44a2cae1f2cc901 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2017-04-06 09:14
from __future__ import unicode_literals
| 40.862069 | 410 | 0.596624 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2017-04-06 09:14
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('play', '0018_auto_20170331_1014'),
]
operations = [
migrations.DeleteModel(
... | 0 | 0 | 0 | 2,192 | 0 | 0 | 0 | 19 | 46 |
3ddda6b61449da34e0f8e8b290c8f652cbcfea85 | 187 | py | Python | example.py | RangeHighGuestTeacher/Hello-World-Template | 34e786df22b29c92d0a44f79405e689f66c7d244 | [
"MIT"
] | null | null | null | example.py | RangeHighGuestTeacher/Hello-World-Template | 34e786df22b29c92d0a44f79405e689f66c7d244 | [
"MIT"
] | null | null | null | example.py | RangeHighGuestTeacher/Hello-World-Template | 34e786df22b29c92d0a44f79405e689f66c7d244 | [
"MIT"
] | null | null | null | print("Hello World")
########## Edit below this line
# print your name to the console
########## Edit above this line
# Once you've finished save and commit your changes to GitHub | 15.583333 | 61 | 0.657754 | print("Hello World")
########## Edit below this line
# print your name to the console
########## Edit above this line
# Once you've finished save and commit your changes to GitHub | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ca3eed6733efd71c4cd494c8c7e0014f4a43becf | 7,720 | py | Python | CBHelper-evaluateCallBack/lambda_function.py | aws-samples/amazon-connect-callback-helper | 9aff8bb69ae03d948d38cfa9b128d80c847b3a13 | [
"MIT-0"
] | 2 | 2021-12-18T00:15:09.000Z | 2022-03-26T09:49:25.000Z | CBHelper-evaluateCallBack/lambda_function.py | aws-samples/amazon-connect-callback-helper | 9aff8bb69ae03d948d38cfa9b128d80c847b3a13 | [
"MIT-0"
] | 1 | 2021-12-30T13:44:44.000Z | 2021-12-30T13:44:44.000Z | CBHelper-evaluateCallBack/lambda_function.py | aws-samples/amazon-connect-callback-helper | 9aff8bb69ae03d948d38cfa9b128d80c847b3a13 | [
"MIT-0"
] | null | null | null | ##CBWitness-EvaluateCallBack Function
#===============================
| 34.774775 | 163 | 0.630829 | ##CBWitness-EvaluateCallBack Function
import json
import boto3
import os
import datetime
import pytz
import base64
from botocore.exceptions import ClientError
from boto3.dynamodb.conditions import Key
def lambda_handler(event, context):
print(event)
CONTACTS_TABLE= os.environ['CONTACTS_TABLE']
contactPhon... | 0 | 0 | 0 | 0 | 0 | 7,289 | 0 | -13 | 364 |
946672f5a6656cc681f0ef3ce0dcf3df218f6871 | 284 | py | Python | passenger_wsgi.py | pilnujemy/foundation-manager | 1f1d6afcbb408c87a171bcbe3f9e58570eb478b6 | [
"BSD-3-Clause"
] | 1 | 2016-01-04T06:30:24.000Z | 2016-01-04T06:30:24.000Z | passenger_wsgi.py | pilnujemy/foundation-manager | 1f1d6afcbb408c87a171bcbe3f9e58570eb478b6 | [
"BSD-3-Clause"
] | 36 | 2015-11-27T14:17:34.000Z | 2016-07-14T10:23:52.000Z | passenger_wsgi.py | pilnujemy/foundation-manager | 1f1d6afcbb408c87a171bcbe3f9e58570eb478b6 | [
"BSD-3-Clause"
] | 1 | 2016-05-14T01:11:28.000Z | 2016-05-14T01:11:28.000Z | import sys, os
sys.path.append(os.getcwd())
import ConfigParser
cp = ConfigParser.ConfigParser();
cp.read('../.environ')
os.environ.update({key.upper():value for key, value in cp.items('env')})
from django.core.wsgi import get_wsgi_application
application = get_wsgi_application()
| 25.818182 | 73 | 0.757042 | import sys, os
sys.path.append(os.getcwd())
import ConfigParser
cp = ConfigParser.ConfigParser();
cp.read('../.environ')
os.environ.update({key.upper():value for key, value in cp.items('env')})
from django.core.wsgi import get_wsgi_application
application = get_wsgi_application()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4278806ab1065f5c0bd76d9bd9e691ed2d94f3c0 | 1,113 | py | Python | src/osyris/core/base.py | osyris-project/osyris | bff42d864a7d5d248f7023216e32fe97bc06dca6 | [
"BSD-3-Clause"
] | 2 | 2022-02-08T14:41:19.000Z | 2022-02-08T14:41:51.000Z | src/osyris/core/base.py | osyris-project/osyris | bff42d864a7d5d248f7023216e32fe97bc06dca6 | [
"BSD-3-Clause"
] | 20 | 2022-01-24T09:34:14.000Z | 2022-03-30T20:01:39.000Z | src/osyris/core/base.py | osyris-project/osyris | bff42d864a7d5d248f7023216e32fe97bc06dca6 | [
"BSD-3-Clause"
] | null | null | null | # SPDX-License-Identifier: BSD-3-Clause
# Copyright (c) 2022 Osyris contributors (https://github.com/osyris-project/osyris)
| 25.883721 | 83 | 0.625337 | # SPDX-License-Identifier: BSD-3-Clause
# Copyright (c) 2022 Osyris contributors (https://github.com/osyris-project/osyris)
from .tools import make_label
import numpy as np
class Base:
def __repr__(self):
return str(self)
def __copy__(self):
return self.copy()
def __deepcopy__(self, mem... | 0 | 67 | 0 | 848 | 0 | 0 | 0 | 5 | 68 |
4032a6cd71d1138bf43cdaa8fa18e442760dd786 | 492 | py | Python | Fourteen/verify.py | tbjoern/adventofcode | 3fb8b4e18f03825c448d8935ab39b8bf08202d90 | [
"MIT"
] | null | null | null | Fourteen/verify.py | tbjoern/adventofcode | 3fb8b4e18f03825c448d8935ab39b8bf08202d90 | [
"MIT"
] | null | null | null | Fourteen/verify.py | tbjoern/adventofcode | 3fb8b4e18f03825c448d8935ab39b8bf08202d90 | [
"MIT"
] | null | null | null | muster = open("muster.txt", "r")
output = open("output.txt", "r")
mustervals = []
outputvals = []
for line in muster:
a,b,val = line.split(" ")
mustervals.append(int(val))
for line in output:
outputvals.append(int(line))
print len(mustervals)
print len(outputvals)
length = min(len(mustervals), len... | 21.391304 | 47 | 0.644309 | muster = open("muster.txt", "r")
output = open("output.txt", "r")
mustervals = []
outputvals = []
for line in muster:
a,b,val = line.split(" ")
mustervals.append(int(val))
for line in output:
outputvals.append(int(line))
print len(mustervals)
print len(outputvals)
length = min(len(mustervals), len... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de7d0dd2eb661fd9591ad6ff497fdd859aff26f0 | 2,014 | py | Python | python_src/032.py | BurnySc2/leetcode-solutions | db86cc945f81d2b84891c5446f4887253011890e | [
"MIT"
] | null | null | null | python_src/032.py | BurnySc2/leetcode-solutions | db86cc945f81d2b84891c5446f4887253011890e | [
"MIT"
] | 1 | 2021-08-01T09:56:31.000Z | 2021-08-01T09:56:31.000Z | python_src/032.py | BurnySc2/leetcode-solutions | db86cc945f81d2b84891c5446f4887253011890e | [
"MIT"
] | null | null | null | """
Given a string containing just the characters '(' and ')', find the length of the longest valid (well-formed) parentheses substring.
https://leetcode.com/problems/longest-valid-parentheses/
"""
test_cases = ["(()", ")()())", "())()()()", "())((())()", "())((()))", "()(()", "))(()))()"]
results = [2, 4, 6, 6, 6,... | 35.964286 | 132 | 0.551639 | """
Given a string containing just the characters '(' and ')', find the length of the longest valid (well-formed) parentheses substring.
https://leetcode.com/problems/longest-valid-parentheses/
"""
class Solution:
def validParentheses(self, s: str) -> bool:
open_parentheses = 0
for i in s:
... | 0 | 0 | 0 | 1,342 | 0 | 0 | 0 | 0 | 23 |
81c4df0259303ed60ceeedb1ad263c6f1e994a54 | 1,294 | py | Python | setup.py | racitup/djangoshop-subscribe | ecc4ca1656a74cae279fa5af5fe1d6864d935cc1 | [
"BSD-3-Clause"
] | null | null | null | setup.py | racitup/djangoshop-subscribe | ecc4ca1656a74cae279fa5af5fe1d6864d935cc1 | [
"BSD-3-Clause"
] | null | null | null | setup.py | racitup/djangoshop-subscribe | ecc4ca1656a74cae279fa5af5fe1d6864d935cc1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from setuptools import setup, find_packages
import shop_subscribe
with open('README.rst') as fd:
README = fd.read()
CLASSIFIERS = [
'Environment :: Web Environment',
'Framework :: Django',
'Intended Audience :: Deve... | 29.409091 | 75 | 0.66306 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from setuptools import setup, find_packages
import shop_subscribe
with open('README.rst') as fd:
README = fd.read()
CLASSIFIERS = [
'Environment :: Web Environment',
'Framework :: Django',
'Intended Audience :: Deve... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1c8c055cc9d8cafce62eefcecb12eaad504ef9b2 | 13,934 | py | Python | pyathena/sqlalchemy_athena.py | l1x/PyAthena | 7aa94a85bf194b1c0c08048a1562bfb43ef6b3fb | [
"MIT"
] | null | null | null | pyathena/sqlalchemy_athena.py | l1x/PyAthena | 7aa94a85bf194b1c0c08048a1562bfb43ef6b3fb | [
"MIT"
] | null | null | null | pyathena/sqlalchemy_athena.py | l1x/PyAthena | 7aa94a85bf194b1c0c08048a1562bfb43ef6b3fb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from sqlalchemy.sql.sqltypes import (BIGINT, BINARY, BOOLEAN, DATE, DECIMAL, FLOAT, INTEGER, STRINGTYPE, TIMESTAMP)
_TYPE_MAPPINGS = {
"boolean": BOOLEAN,
"real": FLOAT,
"float": FLOAT,
"double": FLOAT,
"tinyint": INTEGER,
"smallint": INTEGER,
"integer": INTEG... | 31.453725 | 95 | 0.600617 | # -*- coding: utf-8 -*-
import math
import numbers
import re
import tenacity
from sqlalchemy import exc, util
from sqlalchemy.engine import Engine, reflection
from sqlalchemy.engine.default import DefaultDialect
from sqlalchemy.exc import NoSuchTableError, OperationalError
from sqlalchemy.sql.compiler import (
DDL... | 0 | 3,059 | 0 | 9,612 | 0 | 0 | 0 | 278 | 405 |
d3da38f2d666dcc506c3bf9f7ca5edfd4290743f | 279 | py | Python | test.py | callumfrance/ThisPersonDoesNotExistAPI | 8aaf83a65f3d527be087610ee3758d665babf657 | [
"Apache-2.0",
"MIT"
] | 2 | 2020-11-05T19:01:03.000Z | 2021-01-19T19:58:48.000Z | test.py | callumfrance/ThisPersonDoesNotExistAPI | 8aaf83a65f3d527be087610ee3758d665babf657 | [
"Apache-2.0",
"MIT"
] | null | null | null | test.py | callumfrance/ThisPersonDoesNotExistAPI | 8aaf83a65f3d527be087610ee3758d665babf657 | [
"Apache-2.0",
"MIT"
] | 1 | 2021-03-16T11:02:26.000Z | 2021-03-16T11:02:26.000Z | import asyncio
loop = asyncio.get_event_loop()
loop.run_until_complete(main()) | 19.928571 | 72 | 0.767025 | import asyncio
from thispersondoesnotexist import get_online_person, save_online_person
async def main():
# picture = await get_online_person()
# print(picture)
await save_online_person('test.png')
loop = asyncio.get_event_loop()
loop.run_until_complete(main()) | 0 | 0 | 101 | 0 | 0 | 0 | 0 | 51 | 46 |
bf99192e6c6314c0c50f380e59c48b9b0a88a055 | 1,502 | py | Python | python/lad/tests/test_lad.py | mirca/least-absolute-deviations | d6e8463e0bfd38000e4696c7048f5935df6b304e | [
"MIT"
] | 4 | 2018-07-14T02:56:25.000Z | 2019-10-12T10:12:30.000Z | python/lad/tests/test_lad.py | mirca/least-absolute-deviations | d6e8463e0bfd38000e4696c7048f5935df6b304e | [
"MIT"
] | 5 | 2018-06-10T13:11:39.000Z | 2019-03-19T16:14:59.000Z | python/lad/tests/test_lad.py | mirca/least-absolute-deviations | d6e8463e0bfd38000e4696c7048f5935df6b304e | [
"MIT"
] | 2 | 2019-03-19T16:11:17.000Z | 2019-07-01T08:46:53.000Z | import tensorflow as tf
import numpy as np
sess = tf.Session()
true_params = np.array([3, 10])
x = np.linspace(-1, 1, 10000)
y = np.random.laplace(loc=x * true_params[0] + true_params[1], scale=1.)
| 38.512821 | 103 | 0.627164 | import tensorflow as tf
import numpy as np
import pytest
from ..lad import lad, lad_polyfit
sess = tf.Session()
true_params = np.array([3, 10])
x = np.linspace(-1, 1, 10000)
y = np.random.laplace(loc=x * true_params[0] + true_params[1], scale=1.)
@pytest.mark.parametrize("yerr", [(None), (np.ones(len(y))), (np.std(... | 0 | 1,160 | 0 | 0 | 0 | 0 | 0 | 5 | 136 |
ba31972842ede1fcd2bfaff44d561f3756b6c72a | 2,319 | py | Python | venv/lib/python3.9/site-packages/pydata_google_auth/_webserver.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | 32 | 2018-09-14T23:31:00.000Z | 2022-03-28T16:02:37.000Z | venv/lib/python3.9/site-packages/pydata_google_auth/_webserver.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | 38 | 2018-08-14T20:52:52.000Z | 2022-03-10T21:02:35.000Z | venv/lib/python3.9/site-packages/pydata_google_auth/_webserver.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | 10 | 2018-08-19T01:39:34.000Z | 2022-02-28T14:26:33.000Z | """Helpers for running a local webserver to receive authorization code."""
import socket
from contextlib import closing
from pydata_google_auth import exceptions
LOCALHOST = "localhost"
DEFAULT_PORTS_TO_TRY = 100
def is_port_open(port):
"""Check if a port is open on localhost.
Based on StackOverflow answ... | 25.766667 | 78 | 0.641656 | """Helpers for running a local webserver to receive authorization code."""
import socket
from contextlib import closing
from pydata_google_auth import exceptions
LOCALHOST = "localhost"
DEFAULT_PORTS_TO_TRY = 100
def is_port_open(port):
"""Check if a port is open on localhost.
Based on StackOverflow answ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e16a1165292bbf1bedad6c78d031716220a41e24 | 5,380 | py | Python | campaigns/models.py | alimahdiyar/Developing-Community-Web | a663a687e0f286f197d4a7bf347f67cd130275f7 | [
"MIT"
] | 2 | 2018-06-02T12:30:00.000Z | 2018-07-19T14:41:39.000Z | campaigns/models.py | Developing-Community/Developing-Community-Web | a663a687e0f286f197d4a7bf347f67cd130275f7 | [
"MIT"
] | 5 | 2021-06-08T19:09:00.000Z | 2022-03-11T23:25:14.000Z | campaigns/models.py | Developing-Community/web | a663a687e0f286f197d4a7bf347f67cd130275f7 | [
"MIT"
] | 2 | 2018-05-27T14:58:34.000Z | 2018-05-27T15:03:04.000Z | # Create your models here.
# Sales Campaign
| 35.163399 | 115 | 0.686803 | from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.utils import timezone
from enumfields import Enum # Uses Ethan Furman's "enum34" backport
from enumfields import EnumField
from sorl.thumbnail import Imag... | 0 | 34 | 0 | 4,468 | 0 | 119 | 0 | 166 | 537 |
3b3e51bbf94b1d39d45c67a57ee1414456ec670b | 181,187 | py | Python | src/cplex/_internal/_pycplex.py | tfang94/paql-project | 0848d13a0f2489349d196a596cc1a1a1f2ee1bfe | [
"MIT"
] | 1 | 2021-04-28T21:30:39.000Z | 2021-04-28T21:30:39.000Z | src/cplex/_internal/_pycplex.py | tfang94/paql-project | 0848d13a0f2489349d196a596cc1a1a1f2ee1bfe | [
"MIT"
] | null | null | null | src/cplex/_internal/_pycplex.py | tfang94/paql-project | 0848d13a0f2489349d196a596cc1a1a1f2ee1bfe | [
"MIT"
] | 3 | 2021-04-25T16:51:47.000Z | 2022-02-03T21:04:34.000Z | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 4.0.0
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise Runtime... | 60.577399 | 1,804 | 0.802933 | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 4.0.0
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise Runtime... | 0 | 1,088 | 0 | 12,917 | 0 | 82,406 | 0 | -3 | 11,639 |
22e20f03dc46b1e9d6eade314e381279b10a06e0 | 1,703 | py | Python | GenerIter/processor/Mix.py | GridPresence/GenerIter | f0b74cd6c1d1bb9a23fccb28fa8b972f9eeccaf8 | [
"MIT"
] | 7 | 2021-01-07T19:03:10.000Z | 2021-03-05T08:05:17.000Z | GenerIter/processor/Mix.py | GridPresence/GenerIter | f0b74cd6c1d1bb9a23fccb28fa8b972f9eeccaf8 | [
"MIT"
] | 2 | 2021-01-26T12:45:58.000Z | 2021-02-15T11:06:14.000Z | GenerIter/processor/Mix.py | GridPresence/GenerIter | f0b74cd6c1d1bb9a23fccb28fa8b972f9eeccaf8 | [
"MIT"
] | 1 | 2021-01-24T05:21:28.000Z | 2021-01-24T05:21:28.000Z | """
Generator class for some Process-based mixing algorithms.
Copyright 2020 Thomas Jackson Park & Jeremy Pavier
"""
| 30.410714 | 100 | 0.598356 | """
Generator class for some Process-based mixing algorithms.
Copyright 2020 Thomas Jackson Park & Jeremy Pavier
"""
import os
import random
import inspect
from pydub import AudioSegment
from GenerIter.process import Process
from GenerIter.util import debug, nextPowerOf2
import GenerIter.excepts as robox
class Mix(P... | 0 | 0 | 0 | 1,372 | 0 | 0 | 0 | 35 | 177 |
7f18aacd0cfd85d08e6a79111b1cccd0674a4fce | 19,492 | py | Python | misc/deep_learning_notes/Ch4_Recurrent_Networks/002_vanila_RNN_with_edf/edf.py | tmjnow/MoocX | 52c8450ff7ecc8450a8adc2457233d5777a3d5bb | [
"MIT"
] | 7 | 2017-06-13T05:24:15.000Z | 2022-01-09T01:10:28.000Z | misc/deep_learning_notes/Ch4_Recurrent_Networks/002_vanila_RNN_with_edf/edf.py | kinshuk4/Coursera | 52c8450ff7ecc8450a8adc2457233d5777a3d5bb | [
"MIT"
] | 11 | 2017-05-08T23:30:50.000Z | 2017-06-24T21:57:42.000Z | misc/deep_learning_notes/Ch4_Recurrent_Networks/002_vanila_RNN_with_edf/edf.py | kinshuk4/MoocX | 52c8450ff7ecc8450a8adc2457233d5777a3d5bb | [
"MIT"
] | 4 | 2017-10-05T12:56:53.000Z | 2020-06-14T17:01:32.000Z | import numpy as np
DT = np.float32
eps = 1e-12
# Globals
components = []
params = []
# Global forward/backward
# Optimization functions
# Values
# Parameters
# Xavier initializer
# Utility function for shape inference with broadcasting
#### Actual components
# clip the gradient if... | 30.314152 | 360 | 0.579776 | import numpy as np
DT = np.float32
eps = 1e-12
# Globals
components = []
params = []
# Global forward/backward
def Forward():
for c in components:
c.forward()
def Backward(loss):
for c in components:
if c.grad is not None: c.grad = DT(0)
loss.grad = np.ones_like(loss.value)
for c in... | 0 | 0 | 0 | 16,153 | 0 | 2,085 | 0 | 0 | 729 |
2471ad588b4c0f46ff2f08f2c04ab2774fa69018 | 1,661 | py | Python | pymoira/utils.py | vasilvv/pymoira | 27facba223c220bf4c55d9b7e799a2ff951eef13 | [
"MIT"
] | 2 | 2015-11-13T23:03:12.000Z | 2015-12-19T02:43:20.000Z | pymoira/utils.py | vasilvv/pymoira | 27facba223c220bf4c55d9b7e799a2ff951eef13 | [
"MIT"
] | null | null | null | pymoira/utils.py | vasilvv/pymoira | 27facba223c220bf4c55d9b7e799a2ff951eef13 | [
"MIT"
] | 1 | 2019-10-23T06:26:13.000Z | 2019-10-23T06:26:13.000Z | #
## PyMoira client library
##
## This file contains the utility functions common for multiple modules.
#
import datetime
from .errors import UserError
def convertToMoiraValue(val):
"""Converts data from Python to Moira protocol representation."""
if type(val) == bool:
return '1' if val else '0'
... | 29.140351 | 93 | 0.635762 | #
## PyMoira client library
##
## This file contains the utility functions common for multiple modules.
#
import datetime
from .errors import UserError
def convertMoiraBool(val):
if val == '1':
return True
if val == '0':
return False
raise UserError("Invalid boolean value received from Moi... | 0 | 0 | 0 | 0 | 0 | 309 | 0 | 0 | 69 |
fa6009dfdc1734e54f9947589f388129abb13195 | 1,072 | py | Python | lambda/test.py | p1ass/emojic.ch | 5dace9d4ba6f6a46cfbd29746c74964ad8ba1822 | [
"MIT"
] | 14 | 2020-04-03T04:14:49.000Z | 2021-08-12T04:24:43.000Z | lambda/test.py | p1ass/emojic.ch | 5dace9d4ba6f6a46cfbd29746c74964ad8ba1822 | [
"MIT"
] | 78 | 2020-04-03T04:02:31.000Z | 2021-06-04T01:18:24.000Z | lambda/test.py | naoki-kishi/emojic.ch | 5dace9d4ba6f6a46cfbd29746c74964ad8ba1822 | [
"MIT"
] | 1 | 2020-05-09T12:24:08.000Z | 2020-05-09T12:24:08.000Z | import unittest
if __name__ == "__main__":
unittest.main()
| 26.8 | 62 | 0.650187 | import unittest
import base64
from detect_face import lambda_handler
class TestLambdaHandler(unittest.TestCase):
def setUp(self):
self.IMAGE_DIRECTORY = "./test_images/"
def getResponse(self, filename):
with open(self.IMAGE_DIRECTORY + filename, "rb") as f:
img_binary = f.read()
... | 150 | 0 | 0 | 880 | 0 | 0 | 0 | 9 | 67 |
28112880e291a8479345abe72ce6130d81553134 | 3,232 | py | Python | mkt/api/base.py | oremj/zamboni | a751dc6d22f7af947da327b0a091cbab0a999f49 | [
"BSD-3-Clause"
] | null | null | null | mkt/api/base.py | oremj/zamboni | a751dc6d22f7af947da327b0a091cbab0a999f49 | [
"BSD-3-Clause"
] | null | null | null | mkt/api/base.py | oremj/zamboni | a751dc6d22f7af947da327b0a091cbab0a999f49 | [
"BSD-3-Clause"
] | null | null | null |
import commonware.log
log = commonware.log.getLogger('z.api')
| 34.752688 | 78 | 0.626238 | import json
from django.core.exceptions import ObjectDoesNotExist
from tastypie import http
from tastypie.bundle import Bundle
from tastypie.exceptions import ImmediateHttpResponse
from tastypie.resources import ModelResource
import commonware.log
import oauth2
from translations.fields import PurifiedField, Translat... | 0 | 227 | 0 | 2,612 | 0 | 0 | 0 | 127 | 201 |
0ff92fee0b03da94feeb1de00edd583d81887727 | 953 | py | Python | instagramApp/migrations/0002_auto_20211016_1005.py | Tito-74/Instagram-App | b44f21fb0c7aa5f8e978194814e603b8f9c66592 | [
"MIT"
] | null | null | null | instagramApp/migrations/0002_auto_20211016_1005.py | Tito-74/Instagram-App | b44f21fb0c7aa5f8e978194814e603b8f9c66592 | [
"MIT"
] | null | null | null | instagramApp/migrations/0002_auto_20211016_1005.py | Tito-74/Instagram-App | b44f21fb0c7aa5f8e978194814e603b8f9c66592 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.8 on 2021-10-16 07:05
| 32.862069 | 117 | 0.60021 | # Generated by Django 3.2.8 on 2021-10-16 07:05
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('instagramApp', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='post',
... | 0 | 0 | 0 | 806 | 0 | 0 | 0 | 30 | 68 |
bdbc3c77437b54a570ec5093b2f5ef0704bf1f22 | 929 | py | Python | tools/cardiac_py/DMD/JParser.py | paulkefer/cardioid | 59c07b714d8b066b4f84eb50487c36f6eadf634c | [
"MIT-0",
"MIT"
] | 33 | 2018-12-12T20:05:06.000Z | 2021-09-26T13:30:16.000Z | tools/cardiac_py/DMD/JParser.py | paulkefer/cardioid | 59c07b714d8b066b4f84eb50487c36f6eadf634c | [
"MIT-0",
"MIT"
] | 5 | 2019-04-25T11:34:43.000Z | 2021-11-14T04:35:37.000Z | tools/cardiac_py/DMD/JParser.py | paulkefer/cardioid | 59c07b714d8b066b4f84eb50487c36f6eadf634c | [
"MIT-0",
"MIT"
] | 15 | 2018-12-21T22:44:59.000Z | 2021-08-29T10:30:25.000Z | '''
Created on 27/02/2013
@author: butler
'''
| 23.225 | 60 | 0.518837 | '''
Created on 27/02/2013
@author: butler
'''
import json
class JParser(object):
'''
Parser for json config file. As this is designed to be '
'''
def __init__(self, file_name):
'''
'''
self.file_name = file_name
"""
self.delta_t_ms
self.sample_rate
... | 0 | 0 | 0 | 846 | 0 | 0 | 0 | -10 | 45 |
dfaaf65c142c6efc4c3a5d05426059f979f9b07b | 418 | py | Python | practice.py | narayanants/python-mega-course | 2ba2980ab21dfbed5f86f00695559f7831b5c566 | [
"MIT"
] | null | null | null | practice.py | narayanants/python-mega-course | 2ba2980ab21dfbed5f86f00695559f7831b5c566 | [
"MIT"
] | null | null | null | practice.py | narayanants/python-mega-course | 2ba2980ab21dfbed5f86f00695559f7831b5c566 | [
"MIT"
] | null | null | null | x = 1
y = 'Hello'
z = 10.123
d = x + z
print(d)
print(type(x))
print(type(y))
print(y.upper())
print(y.lower())
print(type(z))
a = [1,2,3,4,5,6,6,7,8]
print(len(a))
print(a.count(6))
b = list(range(10,100,10))
print(b)
stud_marks = {"Madhan":90, "Raj":25,"Mani":80}
print(stud_marks.keys())
print(stud_marks.va... | 11.611111 | 46 | 0.617225 | x = 1
y = 'Hello'
z = 10.123
d = x + z
print(d)
print(type(x))
print(type(y))
print(y.upper())
print(y.lower())
print(type(z))
a = [1,2,3,4,5,6,6,7,8]
print(len(a))
print(a.count(6))
b = list(range(10,100,10))
print(b)
stud_marks = {"Madhan":90, "Raj":25,"Mani":80}
print(stud_marks.keys())
print(stud_marks.va... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7fb662a179c9be0efb6d3755e45803047f17796c | 1,347 | py | Python | telegram/main.py | hakierspejs/mierzyciel | bb680854fd351820c45415b8e85702ea60851b0d | [
"WTFPL"
] | null | null | null | telegram/main.py | hakierspejs/mierzyciel | bb680854fd351820c45415b8e85702ea60851b0d | [
"WTFPL"
] | null | null | null | telegram/main.py | hakierspejs/mierzyciel | bb680854fd351820c45415b8e85702ea60851b0d | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python
import logging
LOGGER = logging.getLogger('mierzyciel.telegram')
if __name__ == '__main__':
fmt = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
logging.basicConfig(level='INFO', format=fmt)
main()
| 30.613636 | 78 | 0.604306 | #!/usr/bin/env python
import logging
import socket
import urllib.request
import time
LOGGER = logging.getLogger('mierzyciel.telegram')
def get_telegram_stats(chat_name):
s = urllib.request.urlopen('https://t.me/' + chat_name).read().decode()
prefix = '<div class="tgme_page_extra">'
line = [x for x in s.s... | 0 | 0 | 0 | 0 | 0 | 987 | 0 | -18 | 135 |
2cfaac913c747cb5c044f427f461fb959f263be3 | 4,312 | py | Python | tests/test_utils.py | dbluhm/aries-staticagent-python | 1f27f85cf72cc6a2e10a6495c85f2b21462362cd | [
"Apache-2.0"
] | 18 | 2019-06-20T18:19:36.000Z | 2022-01-17T04:30:18.000Z | tests/test_utils.py | dbluhm/aries-staticagent-python | 1f27f85cf72cc6a2e10a6495c85f2b21462362cd | [
"Apache-2.0"
] | 16 | 2019-06-20T18:24:49.000Z | 2021-05-19T17:38:40.000Z | tests/test_utils.py | dbluhm/aries-staticagent-python | 1f27f85cf72cc6a2e10a6495c85f2b21462362cd | [
"Apache-2.0"
] | 20 | 2019-06-20T16:54:13.000Z | 2021-12-03T00:08:37.000Z | """ Test utilities. """
import pytest
from aries_staticagent import utils
from aries_staticagent.mtc import (AUTHCRYPT_AFFIRMED, AUTHCRYPT_DENIED, ANONCRYPT_AFFIRMED, ANONCRYPT_DENIED)
def test_preprocess():
"""Test preprocessing decorator."""
handled = test_handler({})
assert handled["preprocessed"]
... | 21.668342 | 81 | 0.666744 | """ Test utilities. """
import pytest
from aries_staticagent import utils, Message
from aries_staticagent.mtc import (
AUTHCRYPT_AFFIRMED,
AUTHCRYPT_DENIED,
ANONCRYPT_AFFIRMED,
ANONCRYPT_DENIED,
)
@pytest.fixture
def message():
yield Message.parse_obj(
{"@type": "doc_uri/protocol/0.1/tes... | 0 | 1,395 | 0 | 0 | 0 | 274 | 0 | 28 | 505 |
12015e477b8e55a091fff7f2d84582fa6e3275ff | 1,486 | py | Python | HLTriggerOffline/HeavyFlavor/python/heavyFlavorValidation_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | HLTriggerOffline/HeavyFlavor/python/heavyFlavorValidation_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | HLTriggerOffline/HeavyFlavor/python/heavyFlavorValidation_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | import FWCore.ParameterSet.Config as cms
heavyFlavorValidation = cms.EDAnalyzer("HeavyFlavorValidation",
DQMFolder = cms.untracked.string("HLT/HeavyFlavor"),
TriggerProcessName = cms.untracked.string("HLT"),
TriggerPathName = cms.untracked.string("HLT_Mu5"),
TriggerSummaryRAW = cms.untracked.string("hl... | 55.037037 | 105 | 0.697174 | import FWCore.ParameterSet.Config as cms
heavyFlavorValidation = cms.EDAnalyzer("HeavyFlavorValidation",
DQMFolder = cms.untracked.string("HLT/HeavyFlavor"),
TriggerProcessName = cms.untracked.string("HLT"),
TriggerPathName = cms.untracked.string("HLT_Mu5"),
TriggerSummaryRAW = cms.untracked.string("hl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9809ab5317cd085c73700d8f77b21ca36ba30fc5 | 1,292 | py | Python | utils/config.py | ogrenenmakine/VCL-PL-Semi-Supervised-Learning-from-Noisy-Web-Data-with-Variational-Contrastive-Learning | baef25837ce7e073d03f69a095d1992aa18dd2d5 | [
"MIT"
] | null | null | null | utils/config.py | ogrenenmakine/VCL-PL-Semi-Supervised-Learning-from-Noisy-Web-Data-with-Variational-Contrastive-Learning | baef25837ce7e073d03f69a095d1992aa18dd2d5 | [
"MIT"
] | null | null | null | utils/config.py | ogrenenmakine/VCL-PL-Semi-Supervised-Learning-from-Noisy-Web-Data-with-Variational-Contrastive-Learning | baef25837ce7e073d03f69a095d1992aa18dd2d5 | [
"MIT"
] | null | null | null | """
Authors: Wouter Van Gansbeke, Simon Vandenhende
Licensed under the CC BY-NC 4.0 license (https://creativecommons.org/licenses/by-nc/4.0/)
"""
| 36.914286 | 92 | 0.706656 | """
Authors: Wouter Van Gansbeke, Simon Vandenhende
Licensed under the CC BY-NC 4.0 license (https://creativecommons.org/licenses/by-nc/4.0/)
"""
import os
import yaml
from easydict import EasyDict
from utils.utils import mkdir_if_missing
def create_config(config_file_env, config_file_exp, batch_size, epochs):
# C... | 0 | 0 | 0 | 0 | 0 | 1,029 | 0 | 5 | 112 |
24dea8c23635079d76503504a11ec99b74c28151 | 1,839 | py | Python | fuzzytools/matplotlib/lims.py | oscarpimentel/fuzzy-tools | edbde6a1e56c1c564cca609e4d0cc9cda906b992 | [
"MIT"
] | null | null | null | fuzzytools/matplotlib/lims.py | oscarpimentel/fuzzy-tools | edbde6a1e56c1c564cca609e4d0cc9cda906b992 | [
"MIT"
] | null | null | null | fuzzytools/matplotlib/lims.py | oscarpimentel/fuzzy-tools | edbde6a1e56c1c564cca609e4d0cc9cda906b992 | [
"MIT"
] | null | null | null | from __future__ import print_function
from __future__ import division
EXTENDED_PERCENT = 0.1
###################################################################################################################################################
############################################################################... | 35.365385 | 163 | 0.650353 | from __future__ import print_function
from __future__ import division
from . import _C
import matplotlib.pyplot as plt
import numpy as np
from copy import copy, deepcopy
EXTENDED_PERCENT = 0.1
############################################################################################################################... | 0 | 0 | 0 | 1,021 | 0 | 280 | 0 | 12 | 135 |
34463d3a7056ec3ca5a9a4b2f7a2cc3412f5557e | 1,127 | py | Python | emg_analyzer/argparse_utils.py | freeh4cker/emg_analyser | 63ab91aaa7c9b36959e1d1038c89108fbce821f5 | [
"BSD-3-Clause"
] | 1 | 2020-07-29T19:07:55.000Z | 2020-07-29T19:07:55.000Z | emg_analyzer/argparse_utils.py | freeh4cker/emg_analyser | 63ab91aaa7c9b36959e1d1038c89108fbce821f5 | [
"BSD-3-Clause"
] | 7 | 2017-12-16T23:25:18.000Z | 2018-01-24T22:04:09.000Z | emg_analyzer/argparse_utils.py | freeh4cker/emg_analyser | 63ab91aaa7c9b36959e1d1038c89108fbce821f5 | [
"BSD-3-Clause"
] | null | null | null | ##########################################################################
# Copyright (c) 2017-2018 Bertrand Nron. All rights reserved. #
# Use of this source code is governed by a BSD-style license that can be #
# found in the LICENSE file. #
################... | 40.25 | 86 | 0.568767 | ##########################################################################
# Copyright (c) 2017-2018 Bertrand Néron. All rights reserved. #
# Use of this source code is governed by a BSD-style license that can be #
# found in the LICENSE file. #
###############... | 2 | 0 | 0 | 703 | 0 | 0 | 0 | -6 | 46 |
0e91c58634a794d0f8effa722b00f5f2c6a299c5 | 852 | py | Python | main.py | pratyushravishankar/audio-recognition | 403a527906601b23716cc4b0136d4bf3ddcb3bc8 | [
"MIT"
] | null | null | null | main.py | pratyushravishankar/audio-recognition | 403a527906601b23716cc4b0136d4bf3ddcb3bc8 | [
"MIT"
] | null | null | null | main.py | pratyushravishankar/audio-recognition | 403a527906601b23716cc4b0136d4bf3ddcb3bc8 | [
"MIT"
] | null | null | null | import pickle
build_model()
with open('lsh.pkl', 'rb') as input:
lsh = pickle.load(input)
# lsh.get()
| 24.342857 | 73 | 0.712441 | import utils
from sklearn.model_selection import train_test_split
import lsh_random_projection as LSH
import pickle
def build_model():
features = utils.load("data/fma_metadata/features.csv")
tracks = utils.load('data/fma_metadata/tracks.csv')
non_nulls_tracks = tracks[tracks['track']['genre_top'].notnul... | 0 | 0 | 0 | 0 | 0 | 589 | 0 | 36 | 112 |
13404955476ece8a5721e805c365b907490b523b | 3,264 | py | Python | pyprobml-master/examples/keras/vgg-keras.py | storopoli/Machine-Learning-Probalistic | f8617e7b81f4d6c71e72edc40ba11ac746794a95 | [
"MIT"
] | 1 | 2019-03-04T05:43:10.000Z | 2019-03-04T05:43:10.000Z | Old/examples/keras/vgg-keras.py | tywang89/pyprobml | 82cfdcb8daea653cda8f77e8737e585418476ca7 | [
"MIT"
] | null | null | null | Old/examples/keras/vgg-keras.py | tywang89/pyprobml | 82cfdcb8daea653cda8f77e8737e585418476ca7 | [
"MIT"
] | null | null | null | # Example of applying VGG16 classifier
# Based on Keras book sec 5.4.3.
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input, decode_predictions
from keras.preprocessing import image
#import matplotlib.pyplot as plt
import numpy as np
#import urllib
#from keras.application... | 39.804878 | 141 | 0.747855 | # Example of applying VGG16 classifier
# Based on Keras book sec 5.4.3.
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input, decode_predictions
from keras.preprocessing import image
#import matplotlib.pyplot as plt
import numpy as np
#import urllib
#from keras.application... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
02ab5ac38323d1a54c6ec402c2b0af7e9a378c0b | 12,767 | py | Python | robot.py | recantha/RedBoard | b47e3085d7550318473c73aaf2f089b950b6934a | [
"MIT"
] | 21 | 2019-10-07T22:55:36.000Z | 2020-12-09T20:07:03.000Z | robot.py | recantha/RedBoard | b47e3085d7550318473c73aaf2f089b950b6934a | [
"MIT"
] | 5 | 2019-09-05T14:15:36.000Z | 2020-03-17T20:21:42.000Z | robot.py | recantha/RedBoard | b47e3085d7550318473c73aaf2f089b950b6934a | [
"MIT"
] | 5 | 2018-05-02T16:38:28.000Z | 2020-01-02T15:06:02.000Z | # This is an example program showing different methods of controlling motors, servos, and Neopixels.
# It works with a Rock Candy or PiHut PS3 controller.
# The left stick controls the speed and direction of both motors - push up to go forwards, down for backwards and left or right to steer.
# The right stick directly ... | 31.9175 | 173 | 0.524242 | # This is an example program showing different methods of controlling motors, servos, and Neopixels.
# It works with a Rock Candy or PiHut PS3 controller.
# The left stick controls the speed and direction of both motors - push up to go forwards, down for backwards and left or right to steer.
# The right stick directly ... | 0 | 0 | 0 | 0 | 0 | 252 | 0 | -10 | 44 |
a8e53e3b4dbf4f5115d1ab434dfe78e4bddcfa5a | 3,429 | py | Python | iceprod/server/globus.py | WIPACrepo/iceprod | 83615da9b0e764bc2498ac588cc2e2b3f5277235 | [
"MIT"
] | 2 | 2017-01-23T17:12:41.000Z | 2019-01-14T13:38:17.000Z | iceprod/server/globus.py | WIPACrepo/iceprod | 83615da9b0e764bc2498ac588cc2e2b3f5277235 | [
"MIT"
] | 242 | 2016-05-09T18:46:51.000Z | 2022-03-31T22:02:29.000Z | iceprod/server/globus.py | WIPACrepo/iceprod | 83615da9b0e764bc2498ac588cc2e2b3f5277235 | [
"MIT"
] | 2 | 2017-03-27T09:13:40.000Z | 2019-01-27T10:55:30.000Z | """
Tools to help manage Globus proxies
"""
import logging
logger = logging.getLogger('globus')
| 37.681319 | 99 | 0.534267 | """
Tools to help manage Globus proxies
"""
import os
import subprocess
import logging
from iceprod.server.config import IceProdConfig
logger = logging.getLogger('globus')
class SiteGlobusProxy(object):
"""
Manage site-wide globus proxy
:param cfgfile: cfgfile location (optional)
:param duration: p... | 0 | 0 | 0 | 3,231 | 0 | 0 | 0 | 10 | 91 |
718f6a531ed9f39d127e9a33e63589d99008dec5 | 2,268 | py | Python | percy/resource_loader.py | robopsi/python-percy-client | c3a80ed567ad40b2f1eaaea76f0886aa6f0367eb | [
"MIT"
] | 1 | 2017-10-31T11:29:24.000Z | 2017-10-31T11:29:24.000Z | percy/resource_loader.py | robopsi/python-percy-client | c3a80ed567ad40b2f1eaaea76f0886aa6f0367eb | [
"MIT"
] | 1 | 2021-03-26T00:50:40.000Z | 2021-03-26T00:50:40.000Z | percy/resource_loader.py | rob-opsi/python-percy-client | c3a80ed567ad40b2f1eaaea76f0886aa6f0367eb | [
"MIT"
] | 2 | 2018-06-05T02:33:05.000Z | 2021-03-02T11:17:47.000Z |
try:
from urllib.parse import urlparse
except ImportError:
__all__ = ['ResourceLoader']
MAX_FILESIZE_BYTES = 15 * 1024**2 # 15 MiB.
| 32.869565 | 85 | 0.593915 | import os
import percy
from percy import utils
try:
from urllib.parse import urlparse
except ImportError:
from urlparse import urlparse
__all__ = ['ResourceLoader']
MAX_FILESIZE_BYTES = 15 * 1024**2 # 15 MiB.
class BaseResourceLoader(object):
@property
def build_resources(self):
raise NotI... | 0 | 1,490 | 0 | 456 | 0 | 0 | 0 | -11 | 191 |
b963a238595dc05d6bc40e6f5888099b52a8fc14 | 20,515 | py | Python | tests/testing_server.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | null | null | null | tests/testing_server.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | null | null | null | tests/testing_server.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | null | null | null | import time
import WebRequest
if __name__ == '__main__':
wg = WebRequest.WebGetRobust()
srv = start_server(
assertion_class = None,
from_wg = wg,
skip_header_checks = True)
print("running server on port: ", srv)
while 1:
time.sleep(1)
| 32.929374 | 165 | 0.640653 |
import traceback
import uuid
import socket
import logging
import os
import base64
import zlib
import gzip
import time
import datetime
from http import cookies
from http.server import BaseHTTPRequestHandler
from http.server import HTTPServer
from threading import Thread
import WebRequest
def capture_expected_headers... | 0 | 0 | 0 | 17,780 | 0 | 2,138 | 0 | -28 | 356 |
67270613f64a8a2bf43b95c90d08c32285cdbd1c | 20,081 | py | Python | modules/music/music.py | naschorr/hawking | cdc98b7bc90c72d634f1fe877c34e7f9908ec4a8 | [
"MIT"
] | 21 | 2017-08-06T02:47:05.000Z | 2022-03-13T17:39:00.000Z | modules/music/music.py | naschorr/hawking | cdc98b7bc90c72d634f1fe877c34e7f9908ec4a8 | [
"MIT"
] | 87 | 2017-12-26T17:07:59.000Z | 2022-03-11T01:31:48.000Z | modules/music/music.py | naschorr/hawking | cdc98b7bc90c72d634f1fe877c34e7f9908ec4a8 | [
"MIT"
] | 7 | 2019-10-23T17:30:34.000Z | 2022-03-31T05:56:43.000Z | import logging
from common import utilities
## Config
CONFIG_OPTIONS = utilities.load_config()
## Logging
logger = utilities.initialize_logging(logging.getLogger(__name__))
| 38.617308 | 120 | 0.598377 | import re
import math
import random
import logging
from collections import OrderedDict
from discord.ext import commands
from common import utilities
from common import dynamo_manager
from common.module.discoverable_module import DiscoverableCog
from common.module.module_initialization_container import ModuleInitializ... | 0 | 4,225 | 0 | 15,203 | 0 | 91 | 0 | 113 | 269 |
16d91b413c5b0ff989f0583278802423f8821a13 | 7,359 | py | Python | tests/keras/preprocessing/test_image.py | cnvrg/keras | 7f9bea44d5d4512fe21d0263d00fd39a9fb5c671 | [
"MIT"
] | 1 | 2020-12-08T14:29:08.000Z | 2020-12-08T14:29:08.000Z | tests/keras/preprocessing/test_image.py | cnvrg/keras | 7f9bea44d5d4512fe21d0263d00fd39a9fb5c671 | [
"MIT"
] | null | null | null | tests/keras/preprocessing/test_image.py | cnvrg/keras | 7f9bea44d5d4512fe21d0263d00fd39a9fb5c671 | [
"MIT"
] | null | null | null | import pytest
if __name__ == '__main__':
pytest.main([__file__])
| 37.738462 | 107 | 0.555646 | import pytest
from keras.preprocessing import image
from PIL import Image
import numpy as np
import os
import shutil
import tempfile
class TestImage:
def setup_class(cls):
img_w = img_h = 20
rgb_images = []
gray_images = []
for n in range(8):
bias = np.... | 0 | 0 | 0 | 7,131 | 0 | 0 | 0 | -13 | 163 |
d6583013d9b22bea192d0a72428b5f4e35977e91 | 1,132 | py | Python | setup.py | zuiwan/CodingHub-CLI | 9ced732de351412f1fd32b3a5eb67117e42779f6 | [
"Apache-2.0"
] | null | null | null | setup.py | zuiwan/CodingHub-CLI | 9ced732de351412f1fd32b3a5eb67117e42779f6 | [
"Apache-2.0"
] | null | null | null | setup.py | zuiwan/CodingHub-CLI | 9ced732de351412f1fd32b3a5eb67117e42779f6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from setuptools import find_packages, setup
project = "ch-cli"
version = "0.1.0"
setup(
name=project,
version=version,
description="Command line tool for ch",
author="Zuiwan",
author_email="danceiny@gmail.com",
url="https://github.com/zuiwan/CodingHub-CLI.git",
package... | 24.608696 | 81 | 0.539753 | #!/usr/bin/env python
from setuptools import find_packages, setup
project = "ch-cli"
version = "0.1.0"
setup(
name=project,
version=version,
description="Command line tool for ch",
author="Zuiwan",
author_email="danceiny@gmail.com",
url="https://github.com/zuiwan/CodingHub-CLI.git",
package... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c6781e3b5409730674626896503725c3c53ad9cf | 4,135 | py | Python | tronx/helpers/filters.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | null | null | null | tronx/helpers/filters.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | null | null | null | tronx/helpers/filters.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | null | null | null | from config import Config
from tronx.database.postgres.dv_sql import DVSQL
dv = DVSQL()
# custom regex filter
def MyPrefix():
"""Multiple prefix support function"""
return dv.getdv("PREFIX").split() or Config.PREFIX.split() or "."
# custom command filter
| 23.494318 | 106 | 0.685127 | import os
import re
from typing import (
Union,
List,
Dict,
Pattern
)
from pyrogram.filters import create
from pyrogram import filters, Client
from pyrogram.types import (
Message,
CallbackQuery,
InlineQuery,
InlineKeyboardMarkup,
ReplyKeyboardMarkup,
Update
)
from config import Config
from tronx.da... | 0 | 0 | 2,599 | 0 | 0 | 942 | 0 | 147 | 178 |
897bbc983e66081213620110e136f15fdd0ac12c | 1,071 | py | Python | train_vqvae.py | bipashasen/How2Sign-Blob | 6e2af881d96d477fdb93104b8e53d943765c64ff | [
"MIT"
] | 6 | 2021-09-14T07:04:54.000Z | 2022-03-24T16:07:41.000Z | train_vqvae.py | bipashasen/How2Sign-Blob | 6e2af881d96d477fdb93104b8e53d943765c64ff | [
"MIT"
] | 4 | 2021-10-14T22:18:47.000Z | 2022-03-30T13:03:07.000Z | train_vqvae.py | bipashasen/How2Sign-Blob | 6e2af881d96d477fdb93104b8e53d943765c64ff | [
"MIT"
] | 3 | 2022-01-13T20:22:39.000Z | 2022-03-03T12:52:44.000Z | import torch
from dataset import DrivingDataset
from vidvqvae import VQVAE
from torch.utils.data import DataLoader
from torch.utils.data import random_split
import pytorch_lightning as pl
dataset = DrivingDataset("./generative", frames=16, skip=16)
print(len(dataset))
train_set, val_set = random_split(dataset, [10000... | 31.5 | 102 | 0.782446 | import torch
from dataset import DrivingDataset
from vidvqvae import VQVAE
from torch.utils.data import DataLoader
from torch.utils.data import random_split
import pytorch_lightning as pl
from pytorch_lightning.loggers import WandbLogger
from pytorch_lightning.callbacks import ModelCheckpoint
dataset = DrivingDataset... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 44 |
16460dd8cef3c4ca6e999f16951e9835cac32996 | 3,369 | py | Python | euca2ools/commands/autoscaling/terminateinstanceinautoscalinggroup.py | salewski/euca2ools | 6b3f62f2cb1c54f14d3bfa5fd92dab3c0ecafecb | [
"BSD-2-Clause"
] | 30 | 2015-02-10T05:47:38.000Z | 2022-01-20T08:48:43.000Z | euca2ools/commands/autoscaling/terminateinstanceinautoscalinggroup.py | salewski/euca2ools | 6b3f62f2cb1c54f14d3bfa5fd92dab3c0ecafecb | [
"BSD-2-Clause"
] | 16 | 2015-01-08T23:24:34.000Z | 2018-07-18T07:15:40.000Z | euca2ools/commands/autoscaling/terminateinstanceinautoscalinggroup.py | salewski/euca2ools | 6b3f62f2cb1c54f14d3bfa5fd92dab3c0ecafecb | [
"BSD-2-Clause"
] | 19 | 2015-05-07T05:34:42.000Z | 2020-12-13T10:50:14.000Z | # Copyright 2013 Eucalyptus Systems, Inc.
#
# Redistribution and use of this software in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# Redistributions of source code must retain the above copyright notice,
# this list of conditions and t... | 48.826087 | 79 | 0.666667 | # Copyright 2013 Eucalyptus Systems, Inc.
#
# Redistribution and use of this software in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# Redistributions of source code must retain the above copyright notice,
# this list of conditions and t... | 0 | 0 | 0 | 1,817 | 0 | 0 | 0 | 96 | 114 |
c055b680671015ae685487c0a21864dbeeb5d7bc | 100 | py | Python | Test.py | JonatasMSS/PythonProjects | 795218987a4b50e7b4f62aa910d6647b8f91593b | [
"MIT"
] | null | null | null | Test.py | JonatasMSS/PythonProjects | 795218987a4b50e7b4f62aa910d6647b8f91593b | [
"MIT"
] | null | null | null | Test.py | JonatasMSS/PythonProjects | 795218987a4b50e7b4f62aa910d6647b8f91593b | [
"MIT"
] | null | null | null | from ColorText import ColorText
Texto = ColorText.mudaCor('Ol Mundo!','blue','lo')
print(Texto) | 25 | 52 | 0.73 | from ColorText import ColorText
Texto = ColorText.mudaCor('Olá Mundo!','blue','lo')
print(Texto) | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b94585921a2a79178522ecf37a1d9d48c8968b5 | 5,484 | py | Python | test/test_colors.py | braniii/prettypyplot | 39d7d133fe0dc6699fafd57e00a0ec07672fd344 | [
"BSD-3-Clause"
] | null | null | null | test/test_colors.py | braniii/prettypyplot | 39d7d133fe0dc6699fafd57e00a0ec07672fd344 | [
"BSD-3-Clause"
] | null | null | null | test/test_colors.py | braniii/prettypyplot | 39d7d133fe0dc6699fafd57e00a0ec07672fd344 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests for the color module.
BSD 3-Clause License
Copyright (c) 2020-2021, Daniel Nagel
All rights reserved.
"""
import prettypyplot
# dummy coverage tests
def test_load_colors():
"""Check that no error get raised."""
prettypyplot.colors.load_colors()
def test_load_cmaps(... | 28.712042 | 76 | 0.539752 | # -*- coding: utf-8 -*-
"""Tests for the color module.
BSD 3-Clause License
Copyright (c) 2020-2021, Daniel Nagel
All rights reserved.
"""
import numpy as np
import pytest
from matplotlib import colors as clr
import prettypyplot
@pytest.mark.parametrize('num, kwargs, error', [
(1, {}, None),
(2, {'high': 2... | 0 | 4,851 | 0 | 0 | 0 | 0 | 0 | 4 | 227 |
3d3b585878eec40a93008097771d36002f81b5a6 | 1,157 | py | Python | test/test_01_decode_encode.py | hashberg-io/bases | 9306573ee3794947efb91b70087d62f98607cadc | [
"MIT"
] | 1 | 2021-12-31T19:29:55.000Z | 2021-12-31T19:29:55.000Z | test/test_01_decode_encode.py | hashberg-io/bases | 9306573ee3794947efb91b70087d62f98607cadc | [
"MIT"
] | null | null | null | test/test_01_decode_encode.py | hashberg-io/bases | 9306573ee3794947efb91b70087d62f98607cadc | [
"MIT"
] | null | null | null | # pylint: disable = missing-docstring
from bases import random
random.set_options(min_bytes=0, max_bytes=16)
nsamples = 1024
| 34.029412 | 82 | 0.666379 | # pylint: disable = missing-docstring
import pytest
from bases import encoding
from bases.encoding import BaseEncoding
from bases import random
from bases.random import rand_str
random.set_options(min_bytes=0, max_bytes=16)
nsamples = 1024
def _test_decode_encode(i: int, s: str, enc_name: str, enc: BaseEncoding) ->... | 0 | 245 | 0 | 0 | 0 | 623 | 0 | 27 | 136 |
f184523890bcf9b76f0ab06d67dc6de838d0acf5 | 710 | py | Python | pystratis/api/connectionmanager/requestmodels/addnoderequest.py | TjadenFroyda/pyStratis | 9cc7620d7506637f8a2b84003d931eceb36ac5f2 | [
"MIT"
] | 8 | 2021-06-30T20:44:22.000Z | 2021-12-07T14:42:22.000Z | pystratis/api/connectionmanager/requestmodels/addnoderequest.py | TjadenFroyda/pyStratis | 9cc7620d7506637f8a2b84003d931eceb36ac5f2 | [
"MIT"
] | 2 | 2021-07-01T11:50:18.000Z | 2022-01-25T18:39:49.000Z | pystratis/api/connectionmanager/requestmodels/addnoderequest.py | TjadenFroyda/pyStratis | 9cc7620d7506637f8a2b84003d931eceb36ac5f2 | [
"MIT"
] | 4 | 2021-07-01T04:36:42.000Z | 2021-09-17T10:54:19.000Z |
# noinspection PyUnresolvedReferences
| 26.296296 | 68 | 0.625352 | from pydantic import validator, Field
from pystratis.api import Model
# noinspection PyUnresolvedReferences
class AddNodeRequest(Model):
"""A request model for the connectionmanager/addnode endpoint.
Args:
ipaddr (str): The endpoint.
command (str): Allowed commands [add, remove, onetry]
"... | 0 | 249 | 0 | 329 | 0 | 0 | 0 | 26 | 66 |
3f510b14969b96c8ab32bc2699f596314fa605f0 | 61 | py | Python | project.py | paraizofelipe/kong-wrapper | 798917292cb089f98548af0098387c3a5d00f3ba | [
"BSD-3-Clause"
] | 1 | 2017-10-18T03:21:40.000Z | 2017-10-18T03:21:40.000Z | project.py | paraizofelipe/kong-wrapper | 798917292cb089f98548af0098387c3a5d00f3ba | [
"BSD-3-Clause"
] | null | null | null | project.py | paraizofelipe/kong-wrapper | 798917292cb089f98548af0098387c3a5d00f3ba | [
"BSD-3-Clause"
] | null | null | null | import os
PATH = os.path.abspath(os.path.dirname(__file__))
| 15.25 | 49 | 0.754098 | import os
PATH = os.path.abspath(os.path.dirname(__file__))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
213f2cd6824b25ae045c553e6540cce858ad3289 | 3,084 | py | Python | gen_page.py | scristall/poe_gen_gwennen | 6579424a382ecfb332c4f5aa48ba3b789e1d8079 | [
"MIT"
] | null | null | null | gen_page.py | scristall/poe_gen_gwennen | 6579424a382ecfb332c4f5aa48ba3b789e1d8079 | [
"MIT"
] | null | null | null | gen_page.py | scristall/poe_gen_gwennen | 6579424a382ecfb332c4f5aa48ba3b789e1d8079 | [
"MIT"
] | null | null | null | from browser import document as doc
from browser.html import DIV
# Create the static elements of the home page
init_page()
doc['loading'] <= DIV(Id='prerendered')
| 68.533333 | 345 | 0.690013 | from browser import document as doc
from browser.html import TABLE, TR, TH, TD, INPUT, SELECT, OPTION, DIV, BUTTON, SPAN, LI, H2, H3, IMG, COLGROUP, COL, P, SECTION, BR
from json import load
from last_update import time
# Create the static elements of the home page
def init_page():
doc['time'].text = f"poe.ninja dat... | 0 | 0 | 0 | 0 | 0 | 2,740 | 0 | 111 | 66 |
5acacf353c21991d44914adbe24f3d385bb6a103 | 2,944 | py | Python | pyoptflow/utils.py | juhi24/fmio-server | 3add2a2faab06637b6cf0a4ed337ef62b8188e0f | [
"MIT"
] | null | null | null | pyoptflow/utils.py | juhi24/fmio-server | 3add2a2faab06637b6cf0a4ed337ef62b8188e0f | [
"MIT"
] | null | null | null | pyoptflow/utils.py | juhi24/fmio-server | 3add2a2faab06637b6cf0a4ed337ef62b8188e0f | [
"MIT"
] | 2 | 2017-10-28T18:41:40.000Z | 2020-05-12T12:50:52.000Z | """Conversion functions for weather radar and rainfall data."""
from numpy import isfinite, log, ubyte
from scipy.ndimage import gaussian_filter
def dBZ_to_ubyte(I, dBZ_min=-10.0, dBZ_max=50.0, filter_stddev=3.0):
"""Convert a dBZ field into a 8-bit image, as required by Optflow. Optionally,
apply a Gaussian smo... | 27.259259 | 83 | 0.647079 | """Conversion functions for weather radar and rainfall data."""
from numpy import isfinite, log, ubyte
from scipy.ndimage import gaussian_filter
from skimage.exposure import equalize_hist, rescale_intensity
def dBZ_to_ubyte(I, dBZ_min=-10.0, dBZ_max=50.0, filter_stddev=3.0):
"""Convert a dBZ field into a 8-bit imag... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 22 |
39ad90663cac888e7ef286d5a052d4d945b5475e | 1,152 | py | Python | scripts/fbx_importer/fbx_helper.py | tm8r/MayaFBXImporter | 591bff828021e4ba03d05e9afc9016eaf2641967 | [
"MIT"
] | 2 | 2019-10-25T17:11:33.000Z | 2021-05-21T06:45:45.000Z | scripts/fbx_importer/fbx_helper.py | tm8r/MayaFBXImporter | 591bff828021e4ba03d05e9afc9016eaf2641967 | [
"MIT"
] | null | null | null | scripts/fbx_importer/fbx_helper.py | tm8r/MayaFBXImporter | 591bff828021e4ba03d05e9afc9016eaf2641967 | [
"MIT"
] | 2 | 2020-05-13T18:07:02.000Z | 2020-05-13T19:54:37.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from .vendor.Qt import QtWidgets
from .libs.maya import fbx
from .libs.maya import namespace
from . import history_helper
def import_fbx(path, import_mode, parent):
"""import fbx
Args:
path (unicode): path
... | 31.135135 | 82 | 0.547743 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from .vendor.Qt import QtWidgets
from .libs.maya import fbx
from .libs.maya import namespace
from . import history_helper
def import_fbx(path, import_mode, parent):
"""import fbx
Args:
path (unicode): path
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
85bd09bc7858e6df3f0144f0d023684434a7438d | 1,065 | py | Python | app/routers/auth.py | JuanDM93/fcc-fastapi-demo | 7d20f91fa96989d22426632c1ab2550f62898789 | [
"MIT"
] | null | null | null | app/routers/auth.py | JuanDM93/fcc-fastapi-demo | 7d20f91fa96989d22426632c1ab2550f62898789 | [
"MIT"
] | null | null | null | app/routers/auth.py | JuanDM93/fcc-fastapi-demo | 7d20f91fa96989d22426632c1ab2550f62898789 | [
"MIT"
] | null | null | null | from fastapi import APIRouter
from .. import db, models, schemas, utils, oauth2
router = APIRouter(
tags=["Authentication"],
)
| 32.272727 | 101 | 0.709859 | from sqlalchemy import schema
from sqlalchemy.orm import Session
from fastapi import Depends, APIRouter, HTTPException, status
from fastapi.security.oauth2 import OAuth2PasswordRequestForm
from .. import db, models, schemas, utils, oauth2
router = APIRouter(
tags=["Authentication"],
)
@router.post("/login", re... | 0 | 748 | 0 | 0 | 0 | 0 | 0 | 93 | 89 |
714353cdd4eee160fe40085bfeaee7eb35bfec53 | 2,739 | py | Python | agent/sn_agent/api/__init__.py | akolonin/singnet | 3be30d40a2394325dc14bb55ea2871fe463b9405 | [
"MIT"
] | null | null | null | agent/sn_agent/api/__init__.py | akolonin/singnet | 3be30d40a2394325dc14bb55ea2871fe463b9405 | [
"MIT"
] | null | null | null | agent/sn_agent/api/__init__.py | akolonin/singnet | 3be30d40a2394325dc14bb55ea2871fe463b9405 | [
"MIT"
] | 1 | 2020-10-27T01:32:15.000Z | 2020-10-27T01:32:15.000Z | import logging
import os
logger = logging.getLogger(__name__)
WS_FILE = os.path.join(os.path.dirname(__file__), 'websocket.html')
| 26.852941 | 89 | 0.686017 | import logging
import os
from aiohttp import web, WSMsgType
from aiohttp.web_response import Response
from jsonrpcserver.aio import methods
from sn_agent import ontology
from sn_agent.api.job import can_perform_service, perform_job
from sn_agent.job.job_descriptor import JobDescriptor
from sn_agent.ontology.service_d... | 0 | 543 | 1,436 | 0 | 0 | 154 | 0 | 174 | 294 |
f67cc3a36214f247ea7458d7048481056a241c09 | 384 | py | Python | Python_Ex_vazio/ex055.py | matheusmiguelsa/Exerc-cios-de-Python | 53387266b747f79e67964356993b38c2267ac04a | [
"MIT"
] | null | null | null | Python_Ex_vazio/ex055.py | matheusmiguelsa/Exerc-cios-de-Python | 53387266b747f79e67964356993b38c2267ac04a | [
"MIT"
] | null | null | null | Python_Ex_vazio/ex055.py | matheusmiguelsa/Exerc-cios-de-Python | 53387266b747f79e67964356993b38c2267ac04a | [
"MIT"
] | null | null | null | maior = 0
menor = 0
for p in range(1, 6):
peso = float(input(f'Digite a massa da {p} pessoa em quilos: '))
if p == 1:
maior = peso
menor = peso
else:
if peso > maior:
maior = peso
if peso < menor:
menor = peso
print('O maior peso lido foi de {}Kg'.form... | 27.428571 | 69 | 0.546875 | maior = 0
menor = 0
for p in range(1, 6):
peso = float(input(f'Digite a massa da {p}º pessoa em quilos: '))
if p == 1:
maior = peso
menor = peso
else:
if peso > maior:
maior = peso
if peso < menor:
menor = peso
print('O maior peso lido foi de {}Kg'.for... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ef94fa3cdab88cb3c5513b937bac0106e56972d2 | 1,803 | py | Python | userlixo/utils/patches.py | annihilatorrrr/UserLixo | d9d9bdcdab6c7489c41f2658b288e1f59674d3b3 | [
"MIT"
] | 1 | 2022-03-28T15:38:27.000Z | 2022-03-28T15:38:27.000Z | userlixo/utils/patches.py | Smartgirl2/UserLixo | 73c900e0488239ff9330efb1cf9e939e7f43c496 | [
"MIT"
] | null | null | null | userlixo/utils/patches.py | Smartgirl2/UserLixo | 73c900e0488239ff9330efb1cf9e939e7f43c496 | [
"MIT"
] | null | null | null | # SPDX-License-Identifier: MIT
# Copyright (c) 2018-2022 Amano Team
| 30.05 | 86 | 0.693844 | # SPDX-License-Identifier: MIT
# Copyright (c) 2018-2022 Amano Team
from pyrogram import types
from pyrogram.helpers import bki, ikb
from userlixo.database import Message
async def query_edit(
self, text: str, reply_markup=None, answer_kwargs={}, *args, **kwargs
):
try:
await self.answer(**answer_kw... | 0 | 0 | 1,382 | 0 | 0 | 152 | 0 | 37 | 160 |
beffdc1038d5ff506f4d888b134dc83884effb8f | 1,245 | py | Python | src/methodComparison/plotResultsGraph.py | UMCUGenetics/svMIL | b17f9b34702aac976dd5e233cb4e1ce051d19bbf | [
"MIT"
] | null | null | null | src/methodComparison/plotResultsGraph.py | UMCUGenetics/svMIL | b17f9b34702aac976dd5e233cb4e1ce051d19bbf | [
"MIT"
] | null | null | null | src/methodComparison/plotResultsGraph.py | UMCUGenetics/svMIL | b17f9b34702aac976dd5e233cb4e1ce051d19bbf | [
"MIT"
] | 1 | 2021-01-19T09:25:47.000Z | 2021-01-19T09:25:47.000Z | import matplotlib.pyplot as plt
import sys
import os
outDir = sys.argv[1]
finalOutDir = outDir + '/figure3d/'
if not os.path.exists(finalOutDir):
os.makedirs(finalOutDir)
#make a plot showing the true positive and false positive rates of each method.
#each sv type will get its own icon, and methods can be labeled b... | 31.125 | 89 | 0.711647 | import matplotlib.pyplot as plt
import sys
import os
outDir = sys.argv[1]
finalOutDir = outDir + '/figure3d/'
if not os.path.exists(finalOutDir):
os.makedirs(finalOutDir)
#make a plot showing the true positive and false positive rates of each method.
#each sv type will get its own icon, and methods can be labeled b... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
48f5c233085c88dc7df004bb3107e6ba9e591625 | 3,203 | py | Python | kicad_bom_seeedstudio.py | ahmetcumhurarslan/kicad-bom-seeedstudio | cdd97327dbdce0f143a272f82b4a8b05e0aabbfe | [
"Apache-2.0"
] | 19 | 2017-07-31T09:33:34.000Z | 2021-05-19T03:18:11.000Z | kicad_bom_seeedstudio.py | ahmetcumhurarslan/kicad-bom-seeedstudio | cdd97327dbdce0f143a272f82b4a8b05e0aabbfe | [
"Apache-2.0"
] | 2 | 2017-10-19T22:03:33.000Z | 2019-05-11T19:56:51.000Z | kicad_bom_seeedstudio.py | imrehg/kicad-bom-seeedstudio | cdd97327dbdce0f143a272f82b4a8b05e0aabbfe | [
"Apache-2.0"
] | 7 | 2017-10-19T20:38:24.000Z | 2021-02-26T00:55:06.000Z | #!/usr/bin/env python3
import csv
import sys
import xml.etree.ElementTree as ET
### Natural key sorting for orders like : C1, C5, C10, C12 ... (instead of C1, C10, C12, C5...)
# http://stackoverflow.com/a/5967539
import re
def natural_keys(text):
'''
alist.sort(key=natural_keys) sorts in human order
http:... | 33.020619 | 95 | 0.597877 | #!/usr/bin/env python3
import csv
import sys
import xml.etree.ElementTree as ET
### Natural key sorting for orders like : C1, C5, C10, C12 ... (instead of C1, C10, C12, C5...)
# http://stackoverflow.com/a/5967539
import re
def atoi(text):
return int(text) if text.isdigit() else text
def natural_keys(text):
'... | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 23 |
2a3ed8a00c44639bcf90af5b5d1068dde31685b4 | 61 | py | Python | ace/samples/__init__.py | partofthething/ace | 689d0caac3ba0708444be6ebf62627137b08ae46 | [
"MIT"
] | 47 | 2015-04-29T06:52:03.000Z | 2022-03-15T11:05:01.000Z | ace/samples/__init__.py | Jimmy-INL/ace | 689d0caac3ba0708444be6ebf62627137b08ae46 | [
"MIT"
] | 12 | 2015-05-29T15:21:25.000Z | 2020-10-08T15:03:41.000Z | ace/samples/__init__.py | Jimmy-INL/ace | 689d0caac3ba0708444be6ebf62627137b08ae46 | [
"MIT"
] | 22 | 2015-06-02T17:30:35.000Z | 2022-02-16T20:46:24.000Z | """Sample ace and supersmoother problems from literature."""
| 30.5 | 60 | 0.770492 | """Sample ace and supersmoother problems from literature."""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e716e82f1750b35f58a08d3424c1fe6702b9bd50 | 8,630 | py | Python | restApp/tests.py | ibamacsr/painelmma_api | a11a6cd63e312f09f445b139fcff8c11ab383764 | [
"MIT"
] | null | null | null | restApp/tests.py | ibamacsr/painelmma_api | a11a6cd63e312f09f445b139fcff8c11ab383764 | [
"MIT"
] | null | null | null | restApp/tests.py | ibamacsr/painelmma_api | a11a6cd63e312f09f445b139fcff8c11ab383764 | [
"MIT"
] | null | null | null | #from django.test import TestCase
| 37.359307 | 79 | 0.626188 | #from django.test import TestCase
from datetime import date
from decimal import *
from django.core.urlresolvers import reverse
from django.contrib.auth.models import User
from rest_framework.test import APITestCase
from rest_framework.authtoken.models import Token
from .models import *
from .mommy_recipes import *
... | 0 | 0 | 0 | 8,095 | 0 | 97 | 0 | 106 | 294 |
cc4b92f8c2b0fb7e78022602f5dcd214422a4189 | 27,874 | py | Python | sdk/python/pulumi_rancher2/namespace.py | pulumi/pulumi-rancher2 | 7a98af8cf598b711084a7f46c0fe71b43ed7a8ac | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2020-03-23T15:59:11.000Z | 2021-01-29T00:37:32.000Z | sdk/python/pulumi_rancher2/namespace.py | pulumi/pulumi-rancher2 | 7a98af8cf598b711084a7f46c0fe71b43ed7a8ac | [
"ECL-2.0",
"Apache-2.0"
] | 76 | 2020-01-16T20:00:25.000Z | 2022-03-31T20:30:08.000Z | sdk/python/pulumi_rancher2/namespace.py | pulumi/pulumi-rancher2 | 7a98af8cf598b711084a7f46c0fe71b43ed7a8ac | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-03-27T17:39:59.000Z | 2020-11-24T23:09:24.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
__all__ = ['NamespaceArgs', 'Namespace']
| 44.958065 | 268 | 0.643431 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | 0 | 24,505 | 0 | 2,879 | 0 | 0 | 0 | 45 | 202 |
04240f905ddfcb37b6a4655974a95272768d65ab | 1,791 | py | Python | cortex_DIM/evaluation_models/msssim_eval.py | Soapy-Salted-Fish-King/DIM | bac4765a8126746675f517c7bfa1b04b88044d51 | [
"BSD-3-Clause"
] | 749 | 2018-08-24T13:55:34.000Z | 2022-03-29T20:30:59.000Z | cortex_DIM/evaluation_models/msssim_eval.py | Soapy-Salted-Fish-King/DIM | bac4765a8126746675f517c7bfa1b04b88044d51 | [
"BSD-3-Clause"
] | 50 | 2018-09-09T13:27:40.000Z | 2022-01-25T16:45:28.000Z | cortex_DIM/evaluation_models/msssim_eval.py | Soapy-Salted-Fish-King/DIM | bac4765a8126746675f517c7bfa1b04b88044d51 | [
"BSD-3-Clause"
] | 98 | 2018-08-24T15:55:23.000Z | 2022-01-05T14:40:58.000Z | '''Encoder eval for MS-SSIM
'''
from cortex.main import run
if __name__ == '__main__':
run(MSSSIMEval()) | 29.360656 | 83 | 0.61474 | '''Encoder eval for MS-SSIM
'''
from cortex.main import run
from cortex_DIM.configs.deconvnets import configs as decoder_configs
from cortex_DIM.models.decoder import Decoder
class MSSSIMEval(Decoder):
'''Measure MS-SSIM through a decoder trained with reconstruction.
'''
defaults = dict(
data=... | 0 | 0 | 0 | 1,539 | 0 | 0 | 0 | 71 | 68 |
8d0910cd5960f52a9db19fe70f314beaa84f3f9b | 3,742 | py | Python | btsprice/yahoo.py | pch957/btsprice | 8a6913dfc0d74e668e116855ea8bb1caf3af6c04 | [
"MIT"
] | 18 | 2016-09-16T16:07:35.000Z | 2020-08-03T13:14:56.000Z | btsprice/yahoo.py | roelandp/btsprice | ad2f4d6d694a4ac71d5b227a22731160f700323b | [
"MIT"
] | 5 | 2017-08-31T00:14:02.000Z | 2019-10-18T12:44:22.000Z | btsprice/yahoo.py | roelandp/btsprice | ad2f4d6d694a4ac71d5b227a22731160f700323b | [
"MIT"
] | 20 | 2016-06-27T09:46:18.000Z | 2020-10-26T05:17:47.000Z | # -*- coding: utf-8 -*-
import asyncio
if __name__ == "__main__":
loop = asyncio.get_event_loop()
yahoo = Yahoo()
loop.run_until_complete(yahoo.fetch_price())
loop.run_forever()
| 35.638095 | 80 | 0.512293 | # -*- coding: utf-8 -*-
import asyncio
import aiohttp
def is_float_try(str):
try:
float(str)
return True
except ValueError:
return False
class Yahoo(object):
def __init__(self):
header = {
'content-type': 'application/json',
'User-Agent': 'Mozilla/... | 0 | 1,546 | 0 | 1,845 | 0 | 93 | 0 | -7 | 68 |
cd03445dfd6bb3e838191ac085b921cb783539d5 | 322 | py | Python | divik/core/io/__init__.py | Hirni-Meshram/divik | 0f542ec2669428458a4ecf6bb450dc90c33b0653 | [
"Apache-2.0"
] | 10 | 2020-01-10T13:10:38.000Z | 2022-03-17T05:08:40.000Z | divik/core/io/__init__.py | Hirni-Meshram/divik | 0f542ec2669428458a4ecf6bb450dc90c33b0653 | [
"Apache-2.0"
] | 45 | 2019-10-26T12:42:50.000Z | 2022-03-12T07:50:40.000Z | divik/core/io/__init__.py | Hirni-Meshram/divik | 0f542ec2669428458a4ecf6bb450dc90c33b0653 | [
"Apache-2.0"
] | 5 | 2021-11-24T04:55:45.000Z | 2021-12-17T23:38:19.000Z | """Reusable utilities for data and model I/O"""
from ._data_io import (load_data, save_csv, try_load_data, try_load_xy)
from ._model_io import save, saver
DIVIK_RESULT_FNAME = "result.pkl"
__all__ = [
"load_data",
"save_csv",
"try_load_data",
"try_load_xy",
"save",
"saver",
]
| 16.1 | 47 | 0.636646 | """Reusable utilities for data and model I/O"""
from ._data_io import (
load_data,
save_csv,
try_load_data,
try_load_xy,
)
from ._model_io import save, saver
DIVIK_RESULT_FNAME = "result.pkl"
__all__ = [
"load_data",
"save_csv",
"try_load_data",
"try_load_xy",
"save",
"saver",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 |
76bd6d76686e284e16cd6ff1f9bb9c73128a6fce | 843 | py | Python | data_cleaning/create_png_dataset.py | bioinfoUQAM/Canadian-cropland-dataset | bfac01c80e20f6eb224e446e480b16dc5fed2547 | [
"MIT"
] | 2 | 2021-09-15T02:36:53.000Z | 2022-03-30T16:05:07.000Z | data_cleaning/create_png_dataset.py | bioinfoUQAM/Canadian-cropland-dataset | bfac01c80e20f6eb224e446e480b16dc5fed2547 | [
"MIT"
] | null | null | null | data_cleaning/create_png_dataset.py | bioinfoUQAM/Canadian-cropland-dataset | bfac01c80e20f6eb224e446e480b16dc5fed2547 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 30 22:41:09 2021
@author: amanda
"""
# loop through the .zip files and create images in .png format
# import necessary libraries
import os
import image_to_png
directory = "dataset_zip"
#file_extensions = ["OSAVI", "NDVI", "GNDVI", "PSRI", "NDVI45"]
extension = "OSAVI"
... | 27.193548 | 66 | 0.688019 | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 30 22:41:09 2021
@author: amanda
"""
# loop through the .zip files and create images in .png format
# import necessary libraries
import os
import image_to_png
directory = "dataset_zip"
#file_extensions = ["OSAVI", "NDVI", "GNDVI", "PSRI", "NDVI45"]
extension = "OSAVI"
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4ce5ed3f89af7fd520b5af53b81ee7407fa15d83 | 938 | py | Python | analytics/utils.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | analytics/utils.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | analytics/utils.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | import pandas as pd
CRITERIA = [
"largely_recommended",
"reliability",
"importance",
"engaging",
"pedagogy",
"layman_friendly",
"entertaining_relaxing",
"better_habits",
"diversity_inclusion",
"backfire_risk",
]
TCOLOR = [
"#1282b2",
"#DC8A5D",
"#C28BED",
"#4C7... | 18.038462 | 80 | 0.602345 | import pandas as pd
CRITERIA = [
"largely_recommended",
"reliability",
"importance",
"engaging",
"pedagogy",
"layman_friendly",
"entertaining_relaxing",
"better_habits",
"diversity_inclusion",
"backfire_risk",
]
TCOLOR = [
"#1282b2",
"#DC8A5D",
"#C28BED",
"#4C7... | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 23 |
e0249aa077ed0d6f12ca41eadfc35b890bcae4a2 | 21,271 | py | Python | networking_bgpvpn/neutron/services/service_drivers/bagpipe/bagpipe.py | openstack/networking-bgpvpn | 1789824ec90505d7d67c3b624d318c36b798fb12 | [
"Apache-2.0"
] | 38 | 2015-06-23T08:06:16.000Z | 2022-01-25T16:03:10.000Z | networking_bgpvpn/neutron/services/service_drivers/bagpipe/bagpipe.py | openstack/networking-bgpvpn | 1789824ec90505d7d67c3b624d318c36b798fb12 | [
"Apache-2.0"
] | null | null | null | networking_bgpvpn/neutron/services/service_drivers/bagpipe/bagpipe.py | openstack/networking-bgpvpn | 1789824ec90505d7d67c3b624d318c36b798fb12 | [
"Apache-2.0"
] | 17 | 2015-11-28T00:45:22.000Z | 2021-07-22T09:22:30.000Z | # Copyright (c) 2015 Orange.
# 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 a... | 38.744991 | 79 | 0.593249 | # Copyright (c) 2015 Orange.
# 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 a... | 0 | 19,206 | 0 | 0 | 0 | 394 | 0 | 375 | 588 |
3bf82136b95654948d1c922678337c70dedf2483 | 857 | py | Python | doc/snippets/rph_deserializer.py | michael-the1/diepvries | ddba9c91ee5fb2014dc576ffb74faa40c3d0d04f | [
"MIT"
] | 67 | 2021-08-20T14:30:49.000Z | 2022-03-22T23:37:08.000Z | doc/snippets/rph_deserializer.py | michael-the1/diepvries | ddba9c91ee5fb2014dc576ffb74faa40c3d0d04f | [
"MIT"
] | 1 | 2022-01-22T08:19:38.000Z | 2022-02-02T08:48:34.000Z | doc/snippets/rph_deserializer.py | michael-the1/diepvries | ddba9c91ee5fb2014dc576ffb74faa40c3d0d04f | [
"MIT"
] | 6 | 2021-09-03T17:21:16.000Z | 2021-12-22T12:11:51.000Z |
if __name__ == "__main__":
deserialize()
| 26.78125 | 83 | 0.667445 | from diepvries.deserializers.snowflake_deserializer import (
DatabaseConfiguration,
SnowflakeDeserializer,
)
def deserialize():
database_configuration = DatabaseConfiguration(
database="<DB>",
user="<USER>",
password="<PASSWORD>",
warehouse="<WAREHOUSE>",
account="<... | 0 | 0 | 0 | 0 | 0 | 669 | 0 | 95 | 45 |
caa7fc2ab467b003c39e1164d5b171219ed1bd62 | 1,073 | py | Python | metrics/uncertainty_confidence.py | Karthik-Ragunath/DDU | b9daae9304bdeb222857884ef8cb3b6b3d004d33 | [
"MIT"
] | 43 | 2021-05-20T14:07:53.000Z | 2022-03-23T12:58:26.000Z | metrics/uncertainty_confidence.py | Karthik-Ragunath/DDU | b9daae9304bdeb222857884ef8cb3b6b3d004d33 | [
"MIT"
] | 3 | 2021-09-19T20:49:21.000Z | 2022-03-07T10:25:47.000Z | metrics/uncertainty_confidence.py | Karthik-Ragunath/DDU | b9daae9304bdeb222857884ef8cb3b6b3d004d33 | [
"MIT"
] | 8 | 2021-06-26T15:28:45.000Z | 2022-02-19T02:07:05.000Z | """
Metrics measuring either uncertainty or confidence of a model.
"""
| 21.897959 | 63 | 0.664492 | """
Metrics measuring either uncertainty or confidence of a model.
"""
import torch
import torch.nn.functional as F
def entropy(logits):
p = F.softmax(logits, dim=1)
logp = F.log_softmax(logits, dim=1)
plogp = p * logp
entropy = -torch.sum(plogp, dim=1)
return entropy
def logsumexp(logits):
... | 0 | 0 | 0 | 0 | 0 | 837 | 0 | 1 | 159 |
4bd8f34b13a613b9fbf79810fcb40ce5c3a6a951 | 3,717 | py | Python | pysnmp-with-texts/TUBS-IBR-AGENT-CAPABILITIES.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/TUBS-IBR-AGENT-CAPABILITIES.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/TUBS-IBR-AGENT-CAPABILITIES.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module TUBS-IBR-AGENT-CAPABILITIES (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/TUBS-IBR-AGENT-CAPABILITIES
# Produced by pysmi-0.3.4 at Wed May 1 15:27:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python versio... | 97.815789 | 477 | 0.769438 | #
# PySNMP MIB module TUBS-IBR-AGENT-CAPABILITIES (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/TUBS-IBR-AGENT-CAPABILITIES
# Produced by pysmi-0.3.4 at Wed May 1 15:27:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python versio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7075d8ceddff8373d1448de790f5c8e02b65488c | 2,373 | py | Python | generate_letter.py | drewlinsley/cabc | 74726509e542d5f0f04bf297c211cca9f6e87b56 | [
"MIT"
] | 2 | 2020-04-19T01:19:10.000Z | 2021-06-08T02:04:48.000Z | generate_letter.py | drewlinsley/cabc | 74726509e542d5f0f04bf297c211cca9f6e87b56 | [
"MIT"
] | null | null | null | generate_letter.py | drewlinsley/cabc | 74726509e542d5f0f04bf297c211cca9f6e87b56 | [
"MIT"
] | null | null | null | from PIL import ImageFont
from PIL import Image
from PIL import ImageDraw
import numpy as np
import matplotlib.pyplot as plt
import os
import scipy
import preprocess
if __name__ == "__main__":
# DEFINE AND LOAD FONT
script_root = '/Users/junkyungkim/Documents/PycharmProjects/cluttered_nist'
fontnames = ['FUTRFW.t... | 32.958333 | 115 | 0.710072 | import PIL
from PIL import ImageFont
from PIL import Image
from PIL import ImageDraw
import numpy as np
import matplotlib.pyplot as plt
import os
from skimage.filters import threshold_otsu
import scipy
from scipy import ndimage
from scipy.interpolate import griddata
import cv2
import preprocess
if __name__ == "__ma... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 111 |
2bf52aa5f62814599fc3741d49983e8f1296f5e3 | 3,503 | py | Python | qlknn/plots/load_data.py | Karel-van-de-Plassche/QLKNN-develop | f2d29be625c2ddbddad6c1e98e5c03a43cf2797f | [
"MIT"
] | null | null | null | qlknn/plots/load_data.py | Karel-van-de-Plassche/QLKNN-develop | f2d29be625c2ddbddad6c1e98e5c03a43cf2797f | [
"MIT"
] | null | null | null | qlknn/plots/load_data.py | Karel-van-de-Plassche/QLKNN-develop | f2d29be625c2ddbddad6c1e98e5c03a43cf2797f | [
"MIT"
] | 2 | 2018-02-28T14:18:43.000Z | 2018-11-26T11:06:08.000Z | import scipy.stats as stats
shortname = {'Ate': '$R/L_{T_e}$',
'Ati': '$R/L_{T_i}$'}
longname ={
'Ate': 'Normalized electron temperature gradient $R/L_{T_e}$',
'Ati': 'Normalized ion temperature gradient $R/L_{T_i}$'}
nameconvert = {
'An': '$R/L_n$',
#'Nustar': '$\\nu^*$',
'Nustar'... | 29.940171 | 89 | 0.586355 | import os
import sys
import numpy as np
import scipy.stats as stats
import pandas as pd
from IPython import embed
from qlknn.NNDB.model import Network, NetworkJSON
from qlknn.models.ffnn import QuaLiKizNDNN
def load_data(id):
store = pd.HDFStore('../7D_nions0_flat.h5')
input = store['megarun1/input']
dat... | 0 | 0 | 0 | 0 | 0 | 1,801 | 0 | 25 | 224 |
2bcc82625a9e7a68e52a4eca462930e5ea09cbb5 | 4,424 | py | Python | src/arclet/alconna/builtin/actions.py | ArcletProject/Alconna | e7532fe04a425ac2a1f64a0604017194f7cdc535 | [
"MIT"
] | 13 | 2021-12-14T05:47:03.000Z | 2022-03-10T15:52:27.000Z | src/arclet/alconna/builtin/actions.py | ArcletProject/Alconna | e7532fe04a425ac2a1f64a0604017194f7cdc535 | [
"MIT"
] | 31 | 2021-12-14T15:16:01.000Z | 2022-03-27T16:51:33.000Z | src/arclet/alconna/builtin/actions.py | ArcletProject/Alconna | e7532fe04a425ac2a1f64a0604017194f7cdc535 | [
"MIT"
] | 1 | 2022-03-22T13:33:04.000Z | 2022-03-22T13:33:04.000Z | """Alconna ArgAction"""
from typing import Any, Optional, TYPE_CHECKING, Literal
def store_value(value: Any):
""""""
return _StoreValue(value)
if TYPE_CHECKING:
from arclet.alconna import alconna_version
def version(value: Optional[tuple]):
""""""
return _StoreValue(value) if valu... | 32.291971 | 105 | 0.618445 | """Alconna ArgAction相关"""
from datetime import datetime
from typing import Any, Optional, TYPE_CHECKING, Literal
from arclet.alconna.components.action import ArgAction
from arclet.alconna.components.behavior import ArpamarBehavior
from arclet.alconna.exceptions import BehaveCancelled, OutBoundsBehavior
from arclet.alc... | 465 | 0 | 0 | 2,781 | 0 | 0 | 0 | 173 | 268 |
a49de0f42e9244dddb80c5007220619b2b81057e | 142 | py | Python | notification/admin.py | tiagocdr/twitter-clone | 53737774f2f7766c69f9f9d96458a630124fa6d8 | [
"MIT"
] | null | null | null | notification/admin.py | tiagocdr/twitter-clone | 53737774f2f7766c69f9f9d96458a630124fa6d8 | [
"MIT"
] | null | null | null | notification/admin.py | tiagocdr/twitter-clone | 53737774f2f7766c69f9f9d96458a630124fa6d8 | [
"MIT"
] | null | null | null | from django.contrib import admin
from notification.models import Notifications
# Register your models here.
admin.site.register(Notifications) | 35.5 | 45 | 0.852113 | from django.contrib import admin
from notification.models import Notifications
# Register your models here.
admin.site.register(Notifications) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3eb8467a6d27f9eb162881b64089f508aede1b60 | 5,742 | py | Python | src/main.py | westernmagic/outer_ear | a2d193c6c2ddb22f0aee8ad6971b019d1096c114 | [
"Apache-2.0"
] | null | null | null | src/main.py | westernmagic/outer_ear | a2d193c6c2ddb22f0aee8ad6971b019d1096c114 | [
"Apache-2.0"
] | null | null | null | src/main.py | westernmagic/outer_ear | a2d193c6c2ddb22f0aee8ad6971b019d1096c114 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
'''
Outer ear simulator
Author: Michal Sudwoj <msudwoj@student.ethz.ch>
Version: 1.0.0
Data: 2019-09-09
'''
from typing import Tuple
import numpy as np
import scipy.io.wavfile as wav
import scipy.signal as ss
from pysofaconventions import SOFAFile
def head(data : np.ndarray, sofa : SOFAFile, az... | 24.965217 | 114 | 0.574713 | #!/usr/bin/env python
'''
Outer ear simulator
Author: Michal Sudwoj <msudwoj@student.ethz.ch>
Version: 1.0.0
Data: 2019-09-09
'''
from typing import Tuple
import numpy as np
import scipy.io.wavfile as wav
import scipy.signal as ss
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from pysofaconventio... | 0 | 0 | 0 | 0 | 0 | 2,691 | 0 | 45 | 114 |
03ee90dbd506d67950bf67048c286a932430249f | 2,549 | py | Python | auth.py | Yodart/banky | 604c37ab80d95bb9f81d91534df512b20df5cd10 | [
"MIT"
] | 1 | 2021-04-23T10:51:26.000Z | 2021-04-23T10:51:26.000Z | auth.py | Yodart/banky | 604c37ab80d95bb9f81d91534df512b20df5cd10 | [
"MIT"
] | null | null | null | auth.py | Yodart/banky | 604c37ab80d95bb9f81d91534df512b20df5cd10 | [
"MIT"
] | null | null | null | from flask import Blueprint
auth = Blueprint('auth', __name__)
| 39.828125 | 137 | 0.608474 | from flask import Flask, Blueprint, request, jsonify, make_response, redirect, url_for
from werkzeug.security import generate_password_hash, check_password_hash
from functools import wraps
from db import db_connect
import datetime
import jwt
import sys
auth = Blueprint('auth', __name__)
def require_auth_token(f):
... | 0 | 2,160 | 0 | 0 | 0 | 52 | 0 | 93 | 178 |
bd3f48038a738c477c55e470123e442f51b07416 | 361 | py | Python | yelp/urls.py | elizabethts/tally_ai_ds | 20c63420a532d277e8832a11af75d5c4ffa9215c | [
"MIT"
] | 3 | 2020-04-01T22:17:48.000Z | 2021-01-24T19:04:19.000Z | yelp/urls.py | elizabethts/tally_ai_ds | 20c63420a532d277e8832a11af75d5c4ffa9215c | [
"MIT"
] | 8 | 2020-06-05T21:05:14.000Z | 2021-12-13T20:43:05.000Z | yelp/urls.py | elizabethts/tally_ai_ds | 20c63420a532d277e8832a11af75d5c4ffa9215c | [
"MIT"
] | 2 | 2020-04-11T20:14:13.000Z | 2021-01-06T01:06:10.000Z | # yelp/urls.py
from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
# view functions
from .views import hello
from .views import home
urlpatterns = {
path('', hello, name='hello'),
path('<slug:business_id>', home, name='home'),
}
urlpatterns = format_suffix_patterns(urlp... | 24.066667 | 61 | 0.759003 | # yelp/urls.py
from django.urls import path
from django.conf.urls import url
from rest_framework.urlpatterns import format_suffix_patterns
# view functions
from .views import hello
from .views import home
urlpatterns = {
path('', hello, name='hello'),
path('<slug:business_id>', home, name='home'),
}
urlpatte... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 22 |
1e220db752c0243838f7243836c9a10b0fa287c8 | 3,661 | py | Python | mini-projects/aic-15-image-search-engine/utils/model.py | elbertsoftware/SpringboardAIC | 54278548c94d1a7a61ab977ecb47d96f73f94060 | [
"Unlicense"
] | 3 | 2019-04-06T12:37:55.000Z | 2021-01-28T01:38:45.000Z | mini-projects/aic-15-image-search-engine/utils/model.py | elbertsoftware/SpringboardAIC | 54278548c94d1a7a61ab977ecb47d96f73f94060 | [
"Unlicense"
] | 16 | 2020-03-24T18:22:38.000Z | 2022-01-13T02:24:27.000Z | mini-projects/aic-15-image-search-engine/utils/model.py | elbertsoftware/SpringboardAIC | 54278548c94d1a7a61ab977ecb47d96f73f94060 | [
"Unlicense"
] | 1 | 2019-11-30T09:06:46.000Z | 2019-11-30T09:06:46.000Z | import tensorflow as tf
def model_inputs(image_size):
'''
Defines CNN inputs (placeholders).
:param image_size: tuple, (height, width) of an image
'''
#-> [Batch_size, image_size[0], image_size[1], 3]
inputs = tf.placeholder(dtype=tf.float32, shape=[None, image_size[0], image_si... | 35.543689 | 108 | 0.556405 | import tensorflow as tf
def model_inputs(image_size):
'''
Defines CNN inputs (placeholders).
:param image_size: tuple, (height, width) of an image
'''
#-> [Batch_size, image_size[0], image_size[1], 3]
inputs = tf.placeholder(dtype=tf.float32, shape=[None, image_size[0], image_si... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
49d827b18611982ce6bdabdd882d794ee52b953a | 12,001 | py | Python | QC/datasets/utils.py | phcavelar/graph-odenet | cba1224c041e53ea221e31bf9103ef950b8bd460 | [
"MIT"
] | 4 | 2019-12-10T18:49:03.000Z | 2022-02-16T03:21:30.000Z | QC/datasets/utils.py | phcavelar/graph-odenet | cba1224c041e53ea221e31bf9103ef950b8bd460 | [
"MIT"
] | 1 | 2020-11-04T04:41:09.000Z | 2021-01-07T18:52:37.000Z | QC/datasets/utils.py | phcavelar/graph-odenet | cba1224c041e53ea221e31bf9103ef950b8bd460 | [
"MIT"
] | 2 | 2020-04-03T12:05:33.000Z | 2020-10-10T11:57:48.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Adapted from https://github.com/priba/nmp_qc
"""
utils.py: Functions to process dataset graphs.
Usage:
"""
from __future__ import print_function
__author__ = "Pedro HC Avelar, Pau Riba, Anjan Dutta"
__email__ = "phcavelar@inf.ufrgs.br, priba@cvc.uab.cat, adutta@... | 31.664908 | 177 | 0.548371 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Adapted from https://github.com/priba/nmp_qc
"""
utils.py: Functions to process dataset graphs.
Usage:
"""
from __future__ import print_function
import rdkit
import torch
from joblib import Parallel, delayed
import multiprocessing
import networkx as nx
import nu... | 0 | 0 | 0 | 0 | 0 | 10,692 | 0 | -25 | 407 |
50691cf6b0a343a60746294d17b9d62fdcf4fa2d | 675 | py | Python | __init__.py | SachaSchwarz/whitepeaks | fd6d14b47f6fb80516d9a06941d79b23d8314e50 | [
"MIT"
] | null | null | null | __init__.py | SachaSchwarz/whitepeaks | fd6d14b47f6fb80516d9a06941d79b23d8314e50 | [
"MIT"
] | null | null | null | __init__.py | SachaSchwarz/whitepeaks | fd6d14b47f6fb80516d9a06941d79b23d8314e50 | [
"MIT"
] | null | null | null | '''
###############################################################################
Ultrafast Quantum Optics Package
###############################################################################
Quantum Optics and Quantum Information Group
Written by
> Jean-Philippe MacLean: jpmaclean@uwaterloo.ca
> Sacha Schwarz s... | 27 | 79 | 0.601481 | '''
###############################################################################
Ultrafast Quantum Optics Package
###############################################################################
Quantum Optics and Quantum Information Group
Written by
> Jean-Philippe MacLean: jpmaclean@uwaterloo.ca
> Sacha Schwarz s... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 115 |
840d8ae323c0daf347b4937320a2c80c2d7c1d9f | 7,645 | py | Python | app/switch/controller.py | conatel-i-d/sm-api | 1a57e8303ae5f33ae4c8ac8247449fac5b0c848d | [
"MIT"
] | 1 | 2020-09-20T07:44:33.000Z | 2020-09-20T07:44:33.000Z | app/switch/controller.py | conatel-i-d/sm-api | 1a57e8303ae5f33ae4c8ac8247449fac5b0c848d | [
"MIT"
] | 2 | 2019-12-10T13:00:36.000Z | 2021-04-30T21:04:42.000Z | app/switch/controller.py | conatel-i-d/sm-api | 1a57e8303ae5f33ae4c8ac8247449fac5b0c848d | [
"MIT"
] | null | null | null | from flask_restplus import Namespace
from .interfaces import SwitchInterfaces
api_description = """
Representacin de los switches de la empresa.
"""
api = Namespace('Switch', description=api_description)
interfaces = SwitchInterfaces(api)
| 35.230415 | 106 | 0.63898 | import os, sys
from flask import request
from flask_restplus import Namespace, Resource, fields
from flask.wrappers import Response
from app.utils.async_action import async_action
from app.api_response import ApiResponse
from app.errors import ApiException, JobTemplateNotFound, PlaybookFailure, PlaybookTimeout, Switch... | 36 | 6,789 | 0 | 0 | 0 | 0 | 0 | 240 | 357 |