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class | is_sharp_comment_removed bool 1
class |
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f72e6c8ddb3a2702133558af850f4622b3f800aa | 4,987 | py | Python | files_sdk/models/style.py | Files-com/files-sdk-python | 84cedc9be099cd9e4db6249ef7a9d60595487090 | [
"MIT"
] | 14 | 2020-08-05T15:48:06.000Z | 2021-08-18T13:13:39.000Z | files_sdk/models/style.py | Files-com/files-sdk-python | 84cedc9be099cd9e4db6249ef7a9d60595487090 | [
"MIT"
] | 4 | 2020-10-30T14:49:25.000Z | 2021-09-29T17:11:53.000Z | files_sdk/models/style.py | Files-com/files-sdk-python | 84cedc9be099cd9e4db6249ef7a9d60595487090 | [
"MIT"
] | null | null | null | import builtins
import datetime
from files_sdk.api import Api
from files_sdk.exceptions import InvalidParameterError, MissingParameterError, NotImplementedError
class Style:
default_attributes = {
'id': None, # int64 - Style ID
'path': None, # string - Folder path This must be slash-delimit... | 40.877049 | 154 | 0.643674 | import builtins
import datetime
from files_sdk.api import Api
from files_sdk.exceptions import InvalidParameterError, MissingParameterError, NotImplementedError
class Style:
default_attributes = {
'id': None, 'path': None, 'logo': None, 'thumbnail': None, 'fi... | true | true |
f72e6de87d8b0bd0845f41e8704948a16523c24b | 33,336 | py | Python | scipy/io/matlab/mio5.py | ikamensh/scipy | d645404be21b7c0b1e7ba24bf8d525b624aeb848 | [
"BSD-3-Clause"
] | null | null | null | scipy/io/matlab/mio5.py | ikamensh/scipy | d645404be21b7c0b1e7ba24bf8d525b624aeb848 | [
"BSD-3-Clause"
] | null | null | null | scipy/io/matlab/mio5.py | ikamensh/scipy | d645404be21b7c0b1e7ba24bf8d525b624aeb848 | [
"BSD-3-Clause"
] | null | null | null | ''' Classes for read / write of matlab (TM) 5 files
The matfile specification last found here:
https://www.mathworks.com/access/helpdesk/help/pdf_doc/matlab/matfile_format.pdf
(as of December 5 2008)
'''
'''
=================================
Note on functions and mat files
=================================
The doc... | 37.330347 | 81 | 0.603882 |
import os
import time
import sys
import zlib
from io import BytesIO
import warnings
import numpy as np
from numpy.compat import asbytes, asstr
import scipy.sparse
from .byteordercodes import native_code, swapped_code
from .miobase import (MatFileReader, docfiller, matdims, read_dtype,
arr_... | true | true |
f72e6eb586f0c6e20ddb5b1d5a840e99e6971d7d | 575 | py | Python | pola/users/urls.py | bpaszcza/pola-backend | 60c142d24b0630dbe22e73cf9bfaf9df297abd7c | [
"BSD-3-Clause"
] | 30 | 2015-08-13T01:05:36.000Z | 2022-01-22T03:02:50.000Z | pola/users/urls.py | bpaszcza/pola-backend | 60c142d24b0630dbe22e73cf9bfaf9df297abd7c | [
"BSD-3-Clause"
] | 1,428 | 2015-10-08T07:38:26.000Z | 2022-03-31T08:36:08.000Z | pola/users/urls.py | bpaszcza/pola-backend | 60c142d24b0630dbe22e73cf9bfaf9df297abd7c | [
"BSD-3-Clause"
] | 13 | 2015-12-27T22:35:25.000Z | 2022-02-01T15:55:58.000Z | from django.conf.urls import url
from . import views
urlpatterns = [
# URL pattern for the UserListView
url(regex=r'^$', view=views.UserListView.as_view(), name='list'),
# URL pattern for the UserRedirectView
url(regex=r'^~redirect/$', view=views.UserRedirectView.as_view(), name='redirect'),
# URL... | 38.333333 | 97 | 0.683478 | from django.conf.urls import url
from . import views
urlpatterns = [
url(regex=r'^$', view=views.UserListView.as_view(), name='list'),
url(regex=r'^~redirect/$', view=views.UserRedirectView.as_view(), name='redirect'),
url(regex=r'^(?P<username>[\w.@+-]+)/$', view=views.UserDetailView.as_view(... | true | true |
f72e6f0ca0dd7ba992d3af00812a666bd784e293 | 9,546 | py | Python | BeesEtAl/Gholami.py | FJFranklin/BeesEtAl | 3fd21d044e77b4a1df56ac2f405e2084bebd54e1 | [
"MIT"
] | 1 | 2020-08-04T00:13:54.000Z | 2020-08-04T00:13:54.000Z | BeesEtAl/Gholami.py | FJFranklin/BeesEtAl | 3fd21d044e77b4a1df56ac2f405e2084bebd54e1 | [
"MIT"
] | null | null | null | BeesEtAl/Gholami.py | FJFranklin/BeesEtAl | 3fd21d044e77b4a1df56ac2f405e2084bebd54e1 | [
"MIT"
] | null | null | null | # *** References ***
# Gholami & Mohammadi, A Novel Combination of Bees and Firefly Algorithm to Optimize Continuous Problems
# Türker Tuncer, LDW-SCSA: Logistic Dynamic Weight based Sine Cosine Search Algorithm for Numerical Functions Optimization
# https://arxiv.org/ftp/arxiv/papers/1809/1809.03055.pdf
# Hartmut ... | 26.153425 | 157 | 0.602137 |
import numpy as np
from .Base_Coster import Base_Coster
class F1(Base_Coster):
@staticmethod
def extents(Ndim):
return -5.12 * np.ones(Ndim), 5.12 * np.ones(Ndim)
def __init__(self, base_optimiser):
Base_Coster.__init__(self, base_optimiser)
def map_to_solution_space(self, X):
... | true | true |
f72e70c39c18d6e4ccb7179f2c40bbfbc8e403ba | 666 | py | Python | microservice-model-template/sources/flask/simulation/__init__.py | evalinani/onesait-cloud-platform-examples | 7b69e05d3f39261b97081b345df9b6e1823207f6 | [
"Apache-2.0"
] | 10 | 2019-05-14T13:23:28.000Z | 2019-09-18T08:52:15.000Z | microservice-model-template/sources/flask/simulation/__init__.py | evalinani/onesait-cloud-platform-examples | 7b69e05d3f39261b97081b345df9b6e1823207f6 | [
"Apache-2.0"
] | 6 | 2019-10-14T13:48:05.000Z | 2021-08-16T18:09:42.000Z | microservice-model-template/sources/flask/simulation/__init__.py | evalinani/onesait-cloud-platform-examples | 7b69e05d3f39261b97081b345df9b6e1823207f6 | [
"Apache-2.0"
] | 8 | 2019-04-23T09:59:42.000Z | 2021-06-30T21:04:17.000Z | # Copyright Indra Soluciones Tecnologías de la Información, S.L.U.
# 2013-2019 SPAIN
#
# 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... | 44.4 | 74 | 0.771772 |
from .datasimulator import Simulator
| true | true |
f72e71fc8efd3c5b1b273dfb7620f0e96f5eebf8 | 2,709 | py | Python | predict_risk_1/machine_learning_models/KNN.py | VenkateshBH99/django_local_library | db834cbe6ec475a2d3224b3ea9b56b1fa3519e9f | [
"Apache-2.0"
] | null | null | null | predict_risk_1/machine_learning_models/KNN.py | VenkateshBH99/django_local_library | db834cbe6ec475a2d3224b3ea9b56b1fa3519e9f | [
"Apache-2.0"
] | null | null | null | predict_risk_1/machine_learning_models/KNN.py | VenkateshBH99/django_local_library | db834cbe6ec475a2d3224b3ea9b56b1fa3519e9f | [
"Apache-2.0"
] | null | null | null | # Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import random
# Importing the dataset
dataset = pd.read_csv('kidney_disease2.csv')
X = dataset.iloc[:,:-1].values
y = dataset.iloc[:,24].values
#handling missing data
from sklearn.preprocessing import Imputer
imputer =... | 27.927835 | 93 | 0.773717 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import random
dataset = pd.read_csv('kidney_disease2.csv')
X = dataset.iloc[:,:-1].values
y = dataset.iloc[:,24].values
from sklearn.preprocessing import Imputer
imputer = Imputer(missing_values = 'NaN', strategy = 'mean', axis = 0)
imputer = i... | true | true |
f72e720965d81ae52683fcd6c1169ce40b6a7ed3 | 7,270 | py | Python | intera_examples/scripts/joint_position_joystick.py | UtQ67/intera_sdk | a9340f9f2b9287b7580cbca86fd450677542108b | [
"Apache-2.0"
] | 38 | 2017-01-20T15:44:22.000Z | 2022-01-28T15:15:40.000Z | intera_examples/scripts/joint_position_joystick.py | UtQ67/intera_sdk | a9340f9f2b9287b7580cbca86fd450677542108b | [
"Apache-2.0"
] | 47 | 2016-12-16T19:41:03.000Z | 2022-03-21T14:04:04.000Z | intera_examples/scripts/joint_position_joystick.py | UtQ67/intera_sdk | a9340f9f2b9287b7580cbca86fd450677542108b | [
"Apache-2.0"
] | 52 | 2017-02-03T13:26:23.000Z | 2021-03-16T14:25:51.000Z | #! /usr/bin/env python
# Copyright (c) 2013-2018, Rethink Robotics Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | 33.502304 | 92 | 0.602338 |
import argparse
import rospy
import intera_interface
import intera_external_devices
from intera_interface import CHECK_VERSION
def rotate(l):
if len(l):
v = l[0]
l[:-1] = l[1:]
l[-1] = v
def set_j(cmd, limb, joints, index, delta):
joint = joints[index]
cmd[joint] = delta + lim... | true | true |
f72e7223e89eedc346ce7a9e695c19fef535fe15 | 2,266 | py | Python | gamechangerml/src/search/query_expansion/tests/test_qe.py | ekmixon/gamechanger-ml | e7967261a4b2f21b06347020cd7e6a010538eb8f | [
"MIT"
] | 11 | 2021-05-05T17:52:10.000Z | 2022-02-04T15:12:29.000Z | gamechangerml/src/search/query_expansion/tests/test_qe.py | ekmixon/gamechanger-ml | e7967261a4b2f21b06347020cd7e6a010538eb8f | [
"MIT"
] | 76 | 2021-07-24T02:33:16.000Z | 2022-03-20T22:40:46.000Z | gamechangerml/src/search/query_expansion/tests/test_qe.py | ekmixon/gamechanger-ml | e7967261a4b2f21b06347020cd7e6a010538eb8f | [
"MIT"
] | 6 | 2021-06-30T22:18:56.000Z | 2022-03-22T16:54:50.000Z | import logging
import pytest
logger = logging.getLogger(__name__)
def check(expanded, exp_len):
return 1 <= len(expanded) <= exp_len
def test_qe_emb_expand(qe_obj, topn):
q_str = "security clearance"
exp = qe_obj.expand(q_str)
logger.info(exp)
assert check(exp, topn)
def test_qe_emb_empty(qe... | 25.75 | 97 | 0.659312 | import logging
import pytest
logger = logging.getLogger(__name__)
def check(expanded, exp_len):
return 1 <= len(expanded) <= exp_len
def test_qe_emb_expand(qe_obj, topn):
q_str = "security clearance"
exp = qe_obj.expand(q_str)
logger.info(exp)
assert check(exp, topn)
def test_qe_emb_empty(qe... | true | true |
f72e72e522ec513de5e3efacb8883404d676ae41 | 1,861 | py | Python | setup.py | glikaj/pako | 27f9846459a94933dfe20884f80d6ec81d8dc092 | [
"MIT"
] | null | null | null | setup.py | glikaj/pako | 27f9846459a94933dfe20884f80d6ec81d8dc092 | [
"MIT"
] | null | null | null | setup.py | glikaj/pako | 27f9846459a94933dfe20884f80d6ec81d8dc092 | [
"MIT"
] | null | null | null | import os
import sys
py_version = sys.version_info[:2]
if py_version < (2, 7):
raise RuntimeError('On Python 2, Supervisor requires Python 2.7 or later')
elif (3, 0) < py_version < (3, 4):
raise RuntimeError('On Python 3, Supervisor requires Python 3.4 or later')
from setuptools import setup, find_packages
... | 32.086207 | 78 | 0.634068 | import os
import sys
py_version = sys.version_info[:2]
if py_version < (2, 7):
raise RuntimeError('On Python 2, Supervisor requires Python 2.7 or later')
elif (3, 0) < py_version < (3, 4):
raise RuntimeError('On Python 3, Supervisor requires Python 3.4 or later')
from setuptools import setup, find_packages
... | true | true |
f72e730e867ce0880e9a4b7cd06ba8b921784b8a | 3,822 | py | Python | LuciferMoringstar_Robot/modules/inline.py | Shanidkk00/PAID-PROMO-FUCK-OFF | b6f0766032ccd09e14cef164a5984ba9f6cb636e | [
"MIT"
] | 2 | 2022-02-08T14:44:36.000Z | 2022-03-03T07:55:14.000Z | LuciferMoringstar_Robot/modules/inline.py | Shanidkk00/PAID-PROMO-FUCK-OFF | b6f0766032ccd09e14cef164a5984ba9f6cb636e | [
"MIT"
] | null | null | null | LuciferMoringstar_Robot/modules/inline.py | Shanidkk00/PAID-PROMO-FUCK-OFF | b6f0766032ccd09e14cef164a5984ba9f6cb636e | [
"MIT"
] | 2 | 2022-02-10T11:31:16.000Z | 2022-02-10T12:40:40.000Z | import logging
from pyrogram import Client as LuciferMoringstar_Robot, filters as Worker, emoji
from pyrogram.types import InlineKeyboardButton, InlineKeyboardMarkup, InlineQueryResultCachedDocument
from LuciferMoringstar_Robot.database._utils import get_size
from LuciferMoringstar_Robot.database.autofilter_db import g... | 39.402062 | 109 | 0.584511 | import logging
from pyrogram import Client as LuciferMoringstar_Robot, filters as Worker, emoji
from pyrogram.types import InlineKeyboardButton, InlineKeyboardMarkup, InlineQueryResultCachedDocument
from LuciferMoringstar_Robot.database._utils import get_size
from LuciferMoringstar_Robot.database.autofilter_db import g... | true | true |
f72e7328156adf3d454b7598395f831f88d58f24 | 1,839 | py | Python | ics/structures/s_text_api_settings.py | hollinsky-intrepid/python_ics | b6ec5486ec3cc2548e33845c265faccf293b88f5 | [
"Unlicense"
] | null | null | null | ics/structures/s_text_api_settings.py | hollinsky-intrepid/python_ics | b6ec5486ec3cc2548e33845c265faccf293b88f5 | [
"Unlicense"
] | null | null | null | ics/structures/s_text_api_settings.py | hollinsky-intrepid/python_ics | b6ec5486ec3cc2548e33845c265faccf293b88f5 | [
"Unlicense"
] | null | null | null | # This file was auto generated; Do not modify, if you value your sanity!
import ctypes
# can1_options
class can1_options(ctypes.Union):
_pack_ = 2
_fields_ = [
('bExtended', ctypes.c_uint32, 1), # [Bitfield]
('DWord', ctypes.c_uint32),
]
# Extra names go here:
# End of extra names
# can... | 25.541667 | 83 | 0.616639 | import ctypes
class can1_options(ctypes.Union):
_pack_ = 2
_fields_ = [
('bExtended', ctypes.c_uint32, 1), ('DWord', ctypes.c_uint32),
]
class can2_options(ctypes.Union):
_pack_ = 2
_fields_ = [
('bExtended', ctypes.c_uint32, 1), ('DWord', ctypes.c_uint32),
]... | true | true |
f72e735867669fcf4103b3d3ac7577830db2749f | 321 | py | Python | leetcode/maximum-subarray.py | hg-pyun/algorithm | cf92483c399f05e488b6febc79c80620f115fadf | [
"MIT"
] | 7 | 2018-09-15T13:57:37.000Z | 2022-03-13T10:01:56.000Z | leetcode/maximum-subarray.py | hg-pyun/algorithm | cf92483c399f05e488b6febc79c80620f115fadf | [
"MIT"
] | 1 | 2019-04-26T07:02:28.000Z | 2019-04-26T07:02:28.000Z | leetcode/maximum-subarray.py | hg-pyun/algorithm | cf92483c399f05e488b6febc79c80620f115fadf | [
"MIT"
] | 1 | 2020-05-03T23:43:38.000Z | 2020-05-03T23:43:38.000Z | class Solution:
def maxSubArray(self, nums: List[int]) -> int:
ans = nums[0]
sub_sum = 0
for num in nums:
sub_sum += num
ans = max(sub_sum, ans)
if sub_sum < 0:
sub_sum = 0
return ans
... | 20.0625 | 50 | 0.392523 | class Solution:
def maxSubArray(self, nums: List[int]) -> int:
ans = nums[0]
sub_sum = 0
for num in nums:
sub_sum += num
ans = max(sub_sum, ans)
if sub_sum < 0:
sub_sum = 0
return ans
... | true | true |
f72e752b81b96c364ac0063922f80616e7fca486 | 2,256 | py | Python | murano/tests/unit/dsl/test_meta.py | openstack/murano | 314c85db8addae184a77c8b47217b1f28e4a1b67 | [
"Apache-2.0"
] | 91 | 2015-04-26T16:05:03.000Z | 2021-12-28T07:12:33.000Z | murano/tests/unit/dsl/test_meta.py | openstack/murano | 314c85db8addae184a77c8b47217b1f28e4a1b67 | [
"Apache-2.0"
] | 3 | 2016-06-24T08:05:20.000Z | 2021-02-07T06:04:47.000Z | murano/tests/unit/dsl/test_meta.py | openstack/murano | 314c85db8addae184a77c8b47217b1f28e4a1b67 | [
"Apache-2.0"
] | 61 | 2015-05-19T22:56:34.000Z | 2021-06-01T05:38:53.000Z | # Copyright (c) 2016 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 35.25 | 78 | 0.671986 |
from murano.tests.unit.dsl.foundation import object_model as om
from murano.tests.unit.dsl.foundation import test_case
class TestMeta(test_case.DslTestCase):
def setUp(self):
super(TestMeta, self).setUp()
self._runner = self.new_runner(om.Object('metatests.TestMeta'))
def test_class_multi_m... | true | true |
f72e76c8f0c62355d037b9e364b47158d7de00b5 | 788 | py | Python | profiles_api/migrations/0002_profilefeeditem.py | nirmit1509/profiles-rest-api | c707103b7ffb5c321a6b47ba05175c51ef816d45 | [
"MIT"
] | null | null | null | profiles_api/migrations/0002_profilefeeditem.py | nirmit1509/profiles-rest-api | c707103b7ffb5c321a6b47ba05175c51ef816d45 | [
"MIT"
] | null | null | null | profiles_api/migrations/0002_profilefeeditem.py | nirmit1509/profiles-rest-api | c707103b7ffb5c321a6b47ba05175c51ef816d45 | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2020-12-18 13:14
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('profiles_api', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | 31.52 | 126 | 0.633249 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('profiles_api', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='ProfileFeedItem',
f... | true | true |
f72e77268ba9acbcb6d08cf96c6155994a820451 | 11,191 | py | Python | core/platform/email/mailgun_email_services_test.py | Tim810306/oppia | 6f90044d12dbe0979c999265cbe46f267c4c592d | [
"Apache-2.0"
] | 2 | 2021-05-24T10:23:32.000Z | 2021-08-22T18:50:14.000Z | core/platform/email/mailgun_email_services_test.py | Tim810306/oppia | 6f90044d12dbe0979c999265cbe46f267c4c592d | [
"Apache-2.0"
] | 11 | 2021-03-03T07:21:27.000Z | 2022-03-12T01:03:44.000Z | core/platform/email/mailgun_email_services_test.py | Tim810306/oppia | 6f90044d12dbe0979c999265cbe46f267c4c592d | [
"Apache-2.0"
] | 1 | 2017-12-06T19:41:49.000Z | 2017-12-06T19:41:49.000Z | # coding: utf-8
#
# Copyright 2014 The Oppia Authors. 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 requi... | 42.390152 | 93 | 0.548566 |
from __future__ import absolute_import
from __future__ import unicode_literals
import ast
from core.platform.email import mailgun_email_services
from core.tests import test_utils
import feconf
import python_utils
from typing import Dict, List, Tuple, Union
MailgunQueryType = Tuple[
str,
Dict[str, List[Uni... | true | true |
f72e7770d6e09471566f9a1de0432dcf558fcac0 | 16,661 | py | Python | test/functional/test_framework/mininode.py | GerardoTaboada/EducaCoin | c7f1be5dacd0a10464775c7eeb0eb799fc66cd43 | [
"MIT"
] | 3 | 2018-10-04T04:38:09.000Z | 2021-02-22T04:45:03.000Z | test/functional/test_framework/mininode.py | GerardoTaboada/EducaCoin | c7f1be5dacd0a10464775c7eeb0eb799fc66cd43 | [
"MIT"
] | null | null | null | test/functional/test_framework/mininode.py | GerardoTaboada/EducaCoin | c7f1be5dacd0a10464775c7eeb0eb799fc66cd43 | [
"MIT"
] | 2 | 2018-10-05T22:11:11.000Z | 2020-04-13T04:51:06.000Z | #!/usr/bin/env python3
# Copyright (c) 2010 ArtForz -- public domain half-a-node
# Copyright (c) 2012 Jeff Garzik
# Copyright (c) 2010-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Educacoin P2... | 37.609481 | 182 | 0.635556 | import asyncore
from collections import defaultdict
from io import BytesIO
import logging
import socket
import struct
import sys
import threading
from test_framework.messages import *
from test_framework.util import wait_until
logger = logging.getLogger("TestFramework.mininode")
MESSAGEMAP = {
b"addr": msg_addr,... | true | true |
f72e77ad679e57d46b94c2f6dab8fbd671008976 | 4,611 | py | Python | venv/Lib/site-packages/statsmodels/discrete/tests/test_margins.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 76 | 2019-12-28T08:37:10.000Z | 2022-03-29T02:19:41.000Z | venv/Lib/site-packages/statsmodels/discrete/tests/test_margins.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 7 | 2020-12-04T04:10:42.000Z | 2021-03-16T00:53:09.000Z | venv/Lib/site-packages/statsmodels/discrete/tests/test_margins.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 35 | 2020-02-04T14:46:25.000Z | 2022-03-24T03:56:17.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 3 21:08:49 2017
Author: Josef Perktold
"""
import numpy as np
from numpy.testing import assert_allclose
from statsmodels.discrete.discrete_model import (Poisson, NegativeBinomial,
NegativeBinomialP)
from statsmodels.tools... | 35.744186 | 84 | 0.643678 |
import numpy as np
from numpy.testing import assert_allclose
from statsmodels.discrete.discrete_model import (Poisson, NegativeBinomial,
NegativeBinomialP)
from statsmodels.tools.tools import add_constant
import statsmodels.discrete.tests.results.results_count_margins ... | true | true |
f72e7997ae61489068cbd806a984a116eb6dbe1f | 147 | py | Python | chap12.py | maciejkos/ModSimPy | fe80a994689dafd282c3d479b19c90c34c590eb5 | [
"MIT"
] | 1 | 2022-01-04T12:54:18.000Z | 2022-01-04T12:54:18.000Z | chap12.py | Dicaromonroy/ModSimPy | fe80a994689dafd282c3d479b19c90c34c590eb5 | [
"MIT"
] | null | null | null | chap12.py | Dicaromonroy/ModSimPy | fe80a994689dafd282c3d479b19c90c34c590eb5 | [
"MIT"
] | null | null | null | from modsim import *
def calc_total_infected(results, system):
s_0 = results.S[0]
s_end = results.S[system.t_end]
return s_0 - s_end
| 18.375 | 41 | 0.687075 | from modsim import *
def calc_total_infected(results, system):
s_0 = results.S[0]
s_end = results.S[system.t_end]
return s_0 - s_end
| true | true |
f72e7ab3ebec9d29054bd636d606b7df2c7bdcf7 | 7,013 | py | Python | img2gb/__init__.py | flozz/img2gb | 2564a718d0b377d1b524204d97a674aedeec770d | [
"BSD-3-Clause"
] | 23 | 2018-11-14T12:50:31.000Z | 2022-03-30T17:28:43.000Z | img2gb/__init__.py | flozz/img2gb | 2564a718d0b377d1b524204d97a674aedeec770d | [
"BSD-3-Clause"
] | 10 | 2019-07-01T17:24:47.000Z | 2022-01-13T12:38:38.000Z | img2gb/__init__.py | flozz/img2gb | 2564a718d0b377d1b524204d97a674aedeec770d | [
"BSD-3-Clause"
] | 3 | 2019-10-16T23:27:28.000Z | 2022-01-23T22:28:29.000Z | import os.path
from .gbtile import GBTile
from .gbtileset import GBTileset
from .gbtilemap import GBTilemap
from .c_export import generate_c_file, generate_c_header_file
from .version import VERSION
def generate_tileset(
input_images,
output_c=None,
output_h=None,
output_image=None,
... | 32.022831 | 93 | 0.595038 | import os.path
from .gbtile import GBTile
from .gbtileset import GBTileset
from .gbtilemap import GBTilemap
from .c_export import generate_c_file, generate_c_header_file
from .version import VERSION
def generate_tileset(
input_images,
output_c=None,
output_h=None,
output_image=None,
... | true | true |
f72e7afc52b4efae67131e7da1c5037fcc3c2abd | 6,050 | py | Python | docs_zh_CN/conf.py | tailocbmt/mmaction2 | 51612047a53a13be7a855878ffe6f2e5dc4b7b0a | [
"Apache-2.0"
] | 1 | 2022-01-29T13:32:23.000Z | 2022-01-29T13:32:23.000Z | docs_zh_CN/conf.py | tailocbmt/mmaction2 | 51612047a53a13be7a855878ffe6f2e5dc4b7b0a | [
"Apache-2.0"
] | null | null | null | docs_zh_CN/conf.py | tailocbmt/mmaction2 | 51612047a53a13be7a855878ffe6f2e5dc4b7b0a | [
"Apache-2.0"
] | null | null | null | # Copyright (c) OpenMMLab. All rights reserved.
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup -----------------------... | 32.180851 | 79 | 0.506612 |
import os
import subprocess
import sys
import pytorch_sphinx_theme
sys.path.insert(0, os.path.abspath('..'))
project = 'MMAction2'
copyright = '2020, OpenMMLab'
author = 'MMAction2 Authors'
version_file = '../mmaction/version.py'
def get_version():
with open(version_file, 'r') as f:
exec(compile(f.r... | true | true |
f72e7b095cb6503055bc41e3a7a220bc323fe712 | 11,578 | py | Python | entity.py | iamgreaser/fireball | 2c5afb3dc5756a3b26da9045278f7e4a2bc036d2 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-05-06T15:11:17.000Z | 2019-05-06T15:11:17.000Z | entity.py | iamgreaser/fireball | 2c5afb3dc5756a3b26da9045278f7e4a2bc036d2 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | entity.py | iamgreaser/fireball | 2c5afb3dc5756a3b26da9045278f7e4a2bc036d2 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | """
Copyright 2011 Ben Russell & contributors. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are
permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of
conditions ... | 26.616092 | 107 | 0.632234 |
from math import *
import numpy as np
import pyglet
import helpers
MOUSE_SENS_X = 0.3
MOUSE_SENS_Y = 0.3
PLAYER_SPEED = 3.0*2.0
OBJECT_GRAVITY = 9.8*2.0
PLAYER_FRICTION = 0.02
PLAYER_JUMP_HEIGHT = 10.0
COLLISION_TOLERANCE = 0.2
KEY_MOVE_FORWARD_BIT = 0x0001
KEY_MOVE_BACKWARD_BIT = 0x0002
KEY_MOVE_LEFT_BIT = 0x000... | true | true |
f72e7b2d77caf3124d0c041b67c7329e92fa362c | 4,961 | py | Python | Lib/hashlib.py | ystk/debian-python3.1 | 6241444a6994140621d1b143a2d6b311b184366a | [
"PSF-2.0"
] | 1 | 2015-05-21T23:47:54.000Z | 2015-05-21T23:47:54.000Z | Lib/hashlib.py | ystk/debian-python3.1 | 6241444a6994140621d1b143a2d6b311b184366a | [
"PSF-2.0"
] | 1 | 2015-10-29T20:51:31.000Z | 2015-10-29T20:51:31.000Z | Lib/hashlib.py | ystk/debian-python3.1 | 6241444a6994140621d1b143a2d6b311b184366a | [
"PSF-2.0"
] | 1 | 2019-04-11T11:27:01.000Z | 2019-04-11T11:27:01.000Z | # $Id: hashlib.py 66094 2008-08-31 16:35:01Z gregory.p.smith $
#
# Copyright (C) 2005-2007 Gregory P. Smith (greg@krypto.org)
# Licensed to PSF under a Contributor Agreement.
#
__doc__ = """hashlib module - A common interface to many hash functions.
new(name, data=b'') - returns a new hash object implementing the... | 35.184397 | 85 | 0.648256 |
__doc__ = """hashlib module - A common interface to many hash functions.
new(name, data=b'') - returns a new hash object implementing the
given hash function; initializing the hash
using the given binary data.
Named constructor functions are also available, these are faste... | true | true |
f72e7cd332d811777563166041005fd0edb29089 | 17,395 | py | Python | python_modules/dagster/dagster/core/definitions/decorators/solid.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/definitions/decorators/solid.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/definitions/decorators/solid.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | null | null | null | from functools import lru_cache, update_wrapper
from typing import Any, Callable, Dict, List, NamedTuple, Optional, Sequence, Set, Union, cast
from dagster import check
from dagster.core.decorator_utils import format_docstring_for_description
from dagster.core.errors import DagsterInvalidDefinitionError
from dagster.c... | 39.714612 | 112 | 0.665306 | from functools import lru_cache, update_wrapper
from typing import Any, Callable, Dict, List, NamedTuple, Optional, Sequence, Set, Union, cast
from dagster import check
from dagster.core.decorator_utils import format_docstring_for_description
from dagster.core.errors import DagsterInvalidDefinitionError
from dagster.c... | true | true |
f72e7deedad7102a3c5f47b1158672e18ad0b3b5 | 96 | py | Python | mqttassistant/web/healthz.py | madron/mqttassistant | a6e40612b74e60585fd612785da1f2ba81f11881 | [
"MIT"
] | null | null | null | mqttassistant/web/healthz.py | madron/mqttassistant | a6e40612b74e60585fd612785da1f2ba81f11881 | [
"MIT"
] | null | null | null | mqttassistant/web/healthz.py | madron/mqttassistant | a6e40612b74e60585fd612785da1f2ba81f11881 | [
"MIT"
] | 2 | 2022-02-04T15:29:37.000Z | 2022-02-05T16:56:33.000Z | from fastapi import Request, Response
async def main(request: Request):
return Response()
| 16 | 37 | 0.75 | from fastapi import Request, Response
async def main(request: Request):
return Response()
| true | true |
f72e7f367fcf301b211752dfc42c0fae3388424b | 18,108 | py | Python | tests/datasets/commands_tests.py | arpith-kp/superset | 42ff4fc19a34144b31cef82b341871dff34f37d2 | [
"Apache-2.0"
] | 44 | 2021-04-14T10:53:36.000Z | 2021-09-11T00:29:50.000Z | tests/datasets/commands_tests.py | arpith-kp/superset | 42ff4fc19a34144b31cef82b341871dff34f37d2 | [
"Apache-2.0"
] | 55 | 2021-04-02T16:03:57.000Z | 2022-03-24T02:12:33.000Z | tests/datasets/commands_tests.py | arpith-kp/superset | 42ff4fc19a34144b31cef82b341871dff34f37d2 | [
"Apache-2.0"
] | 11 | 2021-06-09T08:30:57.000Z | 2021-11-30T03:16:14.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 37.882845 | 89 | 0.602386 |
from operator import itemgetter
from typing import Any, List
from unittest.mock import patch
import pytest
import yaml
from superset import db, security_manager
from superset.commands.exceptions import CommandInvalidError
from superset.commands.importers.exceptions import IncorrectVersionError
from superset.connecto... | true | true |
f72e7f84b4f61db9dcf7fd72e77f2264339e6bce | 1,378 | py | Python | hooks/charmhelpers/__init__.py | plumgrid/upstream-charm-plumgrid-gateway | 7448c43f9735203a052d1366aa96a091f6544446 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | hooks/charmhelpers/__init__.py | plumgrid/upstream-charm-plumgrid-gateway | 7448c43f9735203a052d1366aa96a091f6544446 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | hooks/charmhelpers/__init__.py | plumgrid/upstream-charm-plumgrid-gateway | 7448c43f9735203a052d1366aa96a091f6544446 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2014-2015 Canonical Limited.
#
# This file is part of charm-helpers.
#
# charm-helpers is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License version 3 as
# published by the Free Software Foundation.
#
# charm-helpers is distributed in the hope ... | 35.333333 | 75 | 0.708999 |
import subprocess
import sys
try:
import six except ImportError:
if sys.version_info.major == 2:
subprocess.check_call(['apt-get', 'install', '-y', 'python-six'])
else:
subprocess.check_call(['apt-get', 'install', '-y', 'python3-six'])
import six
try:
import yaml except ImportE... | true | true |
f72e7ff4bdcea5b48d5876c34c9a5f7cc754350a | 161 | py | Python | myproject/studentapp/urls.py | EvgenDEP1/my-project-django | 89955f814a5bd54da9fc37855ec2db2538384c4f | [
"Apache-2.0"
] | null | null | null | myproject/studentapp/urls.py | EvgenDEP1/my-project-django | 89955f814a5bd54da9fc37855ec2db2538384c4f | [
"Apache-2.0"
] | null | null | null | myproject/studentapp/urls.py | EvgenDEP1/my-project-django | 89955f814a5bd54da9fc37855ec2db2538384c4f | [
"Apache-2.0"
] | null | null | null | import studentapp.views as studentapp
from django.urls import path
app_name = 'studentapp'
urlpatterns = [
path('', studentapp.student, name='student'),
]
| 17.888889 | 49 | 0.732919 | import studentapp.views as studentapp
from django.urls import path
app_name = 'studentapp'
urlpatterns = [
path('', studentapp.student, name='student'),
]
| true | true |
f72e81657fea988ec3832105863d1b4015271e88 | 1,335 | py | Python | setup.py | ken0-1n/annot_gnomAD | 32c9284398ea85b8b18a0b8115a2393cae54cd7c | [
"MIT"
] | null | null | null | setup.py | ken0-1n/annot_gnomAD | 32c9284398ea85b8b18a0b8115a2393cae54cd7c | [
"MIT"
] | null | null | null | setup.py | ken0-1n/annot_gnomAD | 32c9284398ea85b8b18a0b8115a2393cae54cd7c | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
def get_version():
with open(path.join(here, "annot_gnomad/version.py")) as hin:
for line in hin:
if line.startswith("__version__"):
version = line.partition('=')[2]
... | 31.785714 | 79 | 0.595506 | from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
def get_version():
with open(path.join(here, "annot_gnomad/version.py")) as hin:
for line in hin:
if line.startswith("__version__"):
version = line.partition('=')[2]
... | true | true |
f72e81800474c7076717f7149cc037c45a9fa546 | 9,652 | py | Python | test/test_ops.py | baheytharwat/tinygrad | acf652c3c524ee3214e9ce58d41113738cb833ae | [
"MIT"
] | null | null | null | test/test_ops.py | baheytharwat/tinygrad | acf652c3c524ee3214e9ce58d41113738cb833ae | [
"MIT"
] | null | null | null | test/test_ops.py | baheytharwat/tinygrad | acf652c3c524ee3214e9ce58d41113738cb833ae | [
"MIT"
] | null | null | null | import os
import torch
import numpy as np
import unittest
import timeit
import functools
from tinygrad.tensor import Tensor, DEFAULT_DEVICE, Device
def helper_test_op(shps, torch_fxn, tinygrad_fxn, atol=1e-6, rtol=1e-3, grad_atol=1e-6, grad_rtol=1e-3, forward_only=False, vals=None, a=-0.5, b=20):
torch.manual_seed(0... | 47.546798 | 157 | 0.631372 | import os
import torch
import numpy as np
import unittest
import timeit
import functools
from tinygrad.tensor import Tensor, DEFAULT_DEVICE, Device
def helper_test_op(shps, torch_fxn, tinygrad_fxn, atol=1e-6, rtol=1e-3, grad_atol=1e-6, grad_rtol=1e-3, forward_only=False, vals=None, a=-0.5, b=20):
torch.manual_seed(0... | true | true |
f72e819cdc32ca8ddd85aa0af7d020cbe93c59c3 | 58,151 | py | Python | kubernetes/client/apis/storage_v1_api.py | TomasTomecek/kubernetes-python | c37c074303a13c72662b9201ccc023fb0ca45755 | [
"Apache-2.0"
] | null | null | null | kubernetes/client/apis/storage_v1_api.py | TomasTomecek/kubernetes-python | c37c074303a13c72662b9201ccc023fb0ca45755 | [
"Apache-2.0"
] | 1 | 2021-04-30T20:41:19.000Z | 2021-04-30T20:41:19.000Z | venv/lib/python2.7/site-packages/kubernetes/client/apis/storage_v1_api.py | 784134748/kubernetes-install | 5df59632c2619632e422948b667fb68eab9ff5be | [
"MIT"
] | 1 | 2020-05-09T07:16:55.000Z | 2020-05-09T07:16:55.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.12.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | 62.127137 | 1,390 | 0.646025 |
from __future__ import absolute_import
import sys
import os
import re
from six import iteritems
from ..api_client import ApiClient
class StorageV1Api(object):
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
d... | true | true |
f72e81a4f6bf6b24baaad1bd0696c84db8d72574 | 900 | py | Python | tests/test_todo.py | damianfs/canvasapi | 10ef96d268a0535c888d8fdd8169da31d9a66e3f | [
"MIT"
] | 386 | 2017-03-31T15:44:40.000Z | 2022-03-31T12:28:41.000Z | tests/test_todo.py | damianfs/canvasapi | 10ef96d268a0535c888d8fdd8169da31d9a66e3f | [
"MIT"
] | 502 | 2017-04-03T19:06:06.000Z | 2022-03-10T21:59:23.000Z | tests/test_todo.py | damianfs/canvasapi | 10ef96d268a0535c888d8fdd8169da31d9a66e3f | [
"MIT"
] | 148 | 2017-04-03T14:26:38.000Z | 2022-03-14T15:07:00.000Z | import unittest
import requests_mock
from canvasapi import Canvas
from canvasapi.todo import Todo
from tests import settings
@requests_mock.Mocker()
class TestTodo(unittest.TestCase):
def setUp(self):
self.canvas = Canvas(settings.BASE_URL, settings.API_KEY)
self.todo = Todo(
self.c... | 26.470588 | 65 | 0.534444 | import unittest
import requests_mock
from canvasapi import Canvas
from canvasapi.todo import Todo
from tests import settings
@requests_mock.Mocker()
class TestTodo(unittest.TestCase):
def setUp(self):
self.canvas = Canvas(settings.BASE_URL, settings.API_KEY)
self.todo = Todo(
self.c... | true | true |
f72e81aed967860ab086d392a5b77ebbbf88814a | 347,727 | py | Python | sympy/solvers/ode.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | null | null | null | sympy/solvers/ode.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | 2 | 2019-08-04T13:10:46.000Z | 2020-11-06T19:59:25.000Z | sympy/solvers/ode.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | null | null | null | r"""
This module contains :py:meth:`~sympy.solvers.ode.dsolve` and different helper
functions that it uses.
:py:meth:`~sympy.solvers.ode.dsolve` solves ordinary differential equations.
See the docstring on the various functions for their uses. Note that partial
differential equations support is in ``pde.py``. Note t... | 39.712997 | 279 | 0.54749 | from __future__ import print_function, division
from collections import defaultdict
from itertools import islice
from sympy.core import Add, S, Mul, Pow, oo
from sympy.core.compatibility import ordered, iterable, is_sequence, range, string_types
from sympy.core.containers import Tuple
from sympy.core.exprtools import... | true | true |
f72e824990bb73cef7bba0e0f1c0e056f9cd231b | 1,362 | py | Python | setup.py | jwplayer/sparksteps | 8809ab42f22017aee9945bce8f7b3f3b70674bf8 | [
"Apache-2.0"
] | 74 | 2016-06-15T21:36:53.000Z | 2021-12-21T16:40:27.000Z | setup.py | jwplayer/sparksteps | 8809ab42f22017aee9945bce8f7b3f3b70674bf8 | [
"Apache-2.0"
] | 13 | 2017-03-28T19:33:02.000Z | 2021-01-21T12:05:32.000Z | setup.py | jwplayer/sparksteps | 8809ab42f22017aee9945bce8f7b3f3b70674bf8 | [
"Apache-2.0"
] | 16 | 2016-10-10T21:14:51.000Z | 2022-02-19T09:52:11.000Z | # -*- coding: utf-8 -*-
"""Distutils setup file, used to install or test 'sparksteps'."""
import textwrap
from setuptools import setup, find_packages
with open('README.rst') as f:
readme = f.read()
setup(
name='sparksteps',
description='Workflow tool to launch Spark jobs on AWS EMR',
long_description... | 28.978723 | 71 | 0.624816 | import textwrap
from setuptools import setup, find_packages
with open('README.rst') as f:
readme = f.read()
setup(
name='sparksteps',
description='Workflow tool to launch Spark jobs on AWS EMR',
long_description=readme,
packages=find_packages(exclude=['tests', 'examples', 'bootstrap']),
use_s... | true | true |
f72e82c9d7bd2b2e7b24df8a3f6dc4ce9687a9d7 | 699 | py | Python | src/podping_hivewriter/models/podping_settings.py | brianoflondon/podping-hivewriter | 0fab946b00ae1c53db72a2f0b48de3f02a771a1d | [
"MIT"
] | 11 | 2021-05-28T15:58:31.000Z | 2022-03-21T07:08:58.000Z | src/podping_hivewriter/models/podping_settings.py | brianoflondon/podping-hivewriter | 0fab946b00ae1c53db72a2f0b48de3f02a771a1d | [
"MIT"
] | 33 | 2021-06-12T09:23:47.000Z | 2022-02-27T06:34:05.000Z | src/podping_hivewriter/models/podping_settings.py | brianoflondon/podping-hivewriter | 0fab946b00ae1c53db72a2f0b48de3f02a771a1d | [
"MIT"
] | 3 | 2021-07-30T19:40:04.000Z | 2022-01-19T04:14:14.000Z | from typing import Tuple
from pydantic import BaseModel, validator
class PodpingSettings(BaseModel):
"""Dataclass for settings we will fetch from Hive"""
hive_operation_period: int = 3
max_url_list_bytes: int = 7500
diagnostic_report_period: int = 60
control_account: str = "podping"
control_... | 30.391304 | 71 | 0.680973 | from typing import Tuple
from pydantic import BaseModel, validator
class PodpingSettings(BaseModel):
hive_operation_period: int = 3
max_url_list_bytes: int = 7500
diagnostic_report_period: int = 60
control_account: str = "podping"
control_account_check_period: int = 60
test_nodes: Tuple[str,... | true | true |
f72e8306feafbbb1dafb789b86bcdde1ac7bd206 | 12,065 | py | Python | contextualized_topic_models/evaluation/measures.py | onlyrico/contextualized-topic-models | ac338eab6601cd34475d490ae8072fecb73bb0c2 | [
"MIT"
] | 1 | 2022-02-07T13:52:48.000Z | 2022-02-07T13:52:48.000Z | contextualized_topic_models/evaluation/measures.py | onlyrico/contextualized-topic-models | ac338eab6601cd34475d490ae8072fecb73bb0c2 | [
"MIT"
] | null | null | null | contextualized_topic_models/evaluation/measures.py | onlyrico/contextualized-topic-models | ac338eab6601cd34475d490ae8072fecb73bb0c2 | [
"MIT"
] | null | null | null | from gensim.corpora.dictionary import Dictionary
from gensim.models.coherencemodel import CoherenceModel
from gensim.models import KeyedVectors
import gensim.downloader as api
from scipy.spatial.distance import cosine
import abc
from contextualized_topic_models.evaluation.rbo import rbo
import numpy as np
import itert... | 39.818482 | 123 | 0.630999 | from gensim.corpora.dictionary import Dictionary
from gensim.models.coherencemodel import CoherenceModel
from gensim.models import KeyedVectors
import gensim.downloader as api
from scipy.spatial.distance import cosine
import abc
from contextualized_topic_models.evaluation.rbo import rbo
import numpy as np
import itert... | true | true |
f72e8350d7481236cc8e11a4dc5d4bd60251c0b9 | 6,102 | py | Python | beliefs/factors/discrete_factor.py | drivergroup/beliefs | 7e0b2a02d719f5b1c889d72ac1e9421971cc120b | [
"MIT"
] | 2 | 2019-07-11T17:42:07.000Z | 2020-02-10T05:19:53.000Z | beliefs/factors/discrete_factor.py | drivergroup/beliefs | 7e0b2a02d719f5b1c889d72ac1e9421971cc120b | [
"MIT"
] | 1 | 2019-07-11T19:13:19.000Z | 2019-07-11T19:13:19.000Z | beliefs/factors/discrete_factor.py | driver-oss/beliefs | 7e0b2a02d719f5b1c889d72ac1e9421971cc120b | [
"MIT"
] | 2 | 2019-07-11T19:02:54.000Z | 2020-02-10T05:20:01.000Z | """
The MIT License (MIT)
Copyright (c) 2013-2017 pgmpy
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, p... | 40.68 | 96 | 0.654376 |
import copy
import numpy as np
class DiscreteFactor:
def __init__(self, variables, cardinality, values=None, state_names=None):
self.variables = list(variables)
self.cardinality = list(cardinality)
if values is None:
self._values = None
else:
self._values ... | true | true |
f72e83933f876cd4572db0e34fcdcc95f8a2fb8c | 6,388 | py | Python | toontown/fishing/FishPhoto.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 1 | 2021-02-13T22:40:50.000Z | 2021-02-13T22:40:50.000Z | toontown/fishing/FishPhoto.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 1 | 2018-07-28T20:07:04.000Z | 2018-07-30T18:28:34.000Z | toontown/fishing/FishPhoto.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 3 | 2021-06-03T05:36:36.000Z | 2021-06-22T15:07:31.000Z | from direct.directnotify import DirectNotifyGlobal
from panda3d.core import *
from direct.interval.IntervalGlobal import *
import FishGlobals
class DirectRegion(NodePath):
notify = DirectNotifyGlobal.directNotify.newCategory('DirectRegion')
def __init__(self, parent = aspect2d):
NodePath.__init__(self... | 34.717391 | 118 | 0.591578 | from direct.directnotify import DirectNotifyGlobal
from panda3d.core import *
from direct.interval.IntervalGlobal import *
import FishGlobals
class DirectRegion(NodePath):
notify = DirectNotifyGlobal.directNotify.newCategory('DirectRegion')
def __init__(self, parent = aspect2d):
NodePath.__init__(self... | true | true |
f72e8847156e836eb2f014e2a896ec4b5ce4fc3d | 3,837 | py | Python | sceptre/context.py | janrotter/sceptre | 05c6742ff00c56f7d49e37124344851ea8e144a2 | [
"Apache-2.0"
] | null | null | null | sceptre/context.py | janrotter/sceptre | 05c6742ff00c56f7d49e37124344851ea8e144a2 | [
"Apache-2.0"
] | 1 | 2021-03-26T00:46:38.000Z | 2021-03-26T00:46:38.000Z | sceptre/context.py | isotoma/sceptre | 05c6742ff00c56f7d49e37124344851ea8e144a2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
sceptre.context
This module implements the SceptreContext class which holds details about the
paths used in a Sceptre project.
"""
from os import path
class SceptreContext(object):
"""
SceptreContext is a place that holds data that is relevant to the
project, including refer... | 33.077586 | 79 | 0.649466 |
from os import path
class SceptreContext(object):
def __init__(self, project_path, command_path,
user_variables=None, options=None, output_format=None,
no_colour=False):
self.project_path = project_path
self.config_path = "confi... | true | true |
f72e88acf96609ef2f0f8f0c3513b465a09bb0a5 | 113,890 | py | Python | emscripten.py | conversy/emscripten | 0bebbec826ed50a7e93c45242e1729ac2c002d3e | [
"MIT"
] | 1 | 2020-07-26T05:50:02.000Z | 2020-07-26T05:50:02.000Z | emscripten.py | GwG422/emscripten | ffed1d38b7692989583ad832cea013cc299df1d2 | [
"MIT"
] | null | null | null | emscripten.py | GwG422/emscripten | ffed1d38b7692989583ad832cea013cc299df1d2 | [
"MIT"
] | 1 | 2020-07-26T16:08:10.000Z | 2020-07-26T16:08:10.000Z | # Copyright 2010 The Emscripten Authors. All rights reserved.
# Emscripten is available under two separate licenses, the MIT license and the
# University of Illinois/NCSA Open Source License. Both these licenses can be
# found in the LICENSE file.
"""A small wrapper script around the core JS compiler. This calls tha... | 39.97543 | 256 | 0.684643 |
from __future__ import print_function
import difflib
import os
import json
import subprocess
import re
import time
import logging
import pprint
from collections import OrderedDict
from tools import shared
from tools import gen_struct_info
from tools import jsrun
from tools.response_file import substitute_response_f... | true | true |
f72e8982cdd4262f5a24940e7a182364aca39d7f | 13,812 | py | Python | troposphere/pinpoint.py | ds-mn/troposphere | ebaa1749dff9da552e4dbaff188b740c60a8387a | [
"BSD-2-Clause"
] | 1 | 2019-10-09T04:11:40.000Z | 2019-10-09T04:11:40.000Z | troposphere/pinpoint.py | ds-mn/troposphere | ebaa1749dff9da552e4dbaff188b740c60a8387a | [
"BSD-2-Clause"
] | null | null | null | troposphere/pinpoint.py | ds-mn/troposphere | ebaa1749dff9da552e4dbaff188b740c60a8387a | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2012-2021, Mark Peek <mark@peek.org>
# All rights reserved.
#
# See LICENSE file for full license.
#
# *** Do not modify - this file is autogenerated ***
# Resource specification version: 47.0.0
from . import AWSObject, AWSProperty
from .validators import boolean, double, integer
class ADMChannel(AW... | 24.841727 | 66 | 0.564147 |
from . import AWSObject, AWSProperty
from .validators import boolean, double, integer
class ADMChannel(AWSObject):
resource_type = "AWS::Pinpoint::ADMChannel"
props = {
"ApplicationId": (str, True),
"ClientId": (str, True),
"ClientSecret": (str, True),
"Enabled": (boolean, F... | true | true |
f72e8a516b80749a38c870c143ff7e475d8b0389 | 6,372 | py | Python | builder/main.py | djix123/platform-gd32v | 3c949e3ab9d615b441da64a7f3162db48ac1eae3 | [
"Apache-2.0"
] | null | null | null | builder/main.py | djix123/platform-gd32v | 3c949e3ab9d615b441da64a7f3162db48ac1eae3 | [
"Apache-2.0"
] | null | null | null | builder/main.py | djix123/platform-gd32v | 3c949e3ab9d615b441da64a7f3162db48ac1eae3 | [
"Apache-2.0"
] | null | null | null | import sys
from os.path import join
from SCons.Script import (ARGUMENTS, COMMAND_LINE_TARGETS, AlwaysBuild,
Default, DefaultEnvironment)
env = DefaultEnvironment()
platform = env.PioPlatform()
board = env.BoardConfig()
env.Replace(
AR="riscv-nuclei-elf-gcc-ar",
AS="riscv-nuclei-elf... | 30.056604 | 134 | 0.59275 | import sys
from os.path import join
from SCons.Script import (ARGUMENTS, COMMAND_LINE_TARGETS, AlwaysBuild,
Default, DefaultEnvironment)
env = DefaultEnvironment()
platform = env.PioPlatform()
board = env.BoardConfig()
env.Replace(
AR="riscv-nuclei-elf-gcc-ar",
AS="riscv-nuclei-elf... | true | true |
f72e8ad1c3608b91eaaa2a795f92f4b5c3a9b434 | 2,445 | py | Python | mmseg/integration/nncf/utils.py | yunchu/mmsegmentation | 404f3e0e8859991931b6a39a583de412348e98f0 | [
"Apache-2.0"
] | 3 | 2021-12-21T07:25:13.000Z | 2022-02-07T01:59:19.000Z | mmseg/integration/nncf/utils.py | yunchu/mmsegmentation | 404f3e0e8859991931b6a39a583de412348e98f0 | [
"Apache-2.0"
] | 13 | 2021-12-10T15:08:56.000Z | 2022-03-23T08:58:03.000Z | mmseg/integration/nncf/utils.py | yunchu/mmsegmentation | 404f3e0e8859991931b6a39a583de412348e98f0 | [
"Apache-2.0"
] | 3 | 2021-11-11T23:16:51.000Z | 2021-12-08T23:49:29.000Z | # Copyright (C) 2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
import importlib
from collections import OrderedDict
from contextlib import contextmanager
import torch
_is_nncf_enabled = importlib.util.find_spec('nncf') is not None
def is_nncf_enabled():
return _is_nncf_enabled
def check_nncf... | 25.46875 | 92 | 0.708384 |
import importlib
from collections import OrderedDict
from contextlib import contextmanager
import torch
_is_nncf_enabled = importlib.util.find_spec('nncf') is not None
def is_nncf_enabled():
return _is_nncf_enabled
def check_nncf_is_enabled():
if not is_nncf_enabled():
raise RuntimeError('Tried ... | true | true |
f72e8ad32ab4f0397c6c09682578a2c085bad8b4 | 6,857 | py | Python | mir_eval/key.py | f90/mir_eval | 645f46258515677620add3a60fc21a6bf6b27363 | [
"MIT"
] | 431 | 2015-03-05T18:08:23.000Z | 2022-03-29T14:51:02.000Z | mir_eval/key.py | f90/mir_eval | 645f46258515677620add3a60fc21a6bf6b27363 | [
"MIT"
] | 217 | 2015-02-10T15:23:19.000Z | 2022-02-16T21:14:13.000Z | mir_eval/key.py | f90/mir_eval | 645f46258515677620add3a60fc21a6bf6b27363 | [
"MIT"
] | 118 | 2015-01-15T09:22:55.000Z | 2022-02-08T18:22:14.000Z | '''
Key Detection involves determining the underlying key (distribution of notes
and note transitions) in a piece of music. Key detection algorithms are
evaluated by comparing their estimated key to a ground-truth reference key and
reporting a score according to the relationship of the keys.
Conventions
-----------
K... | 34.631313 | 79 | 0.553157 |
import collections
from . import util
KEY_TO_SEMITONE = {'c': 0, 'c#': 1, 'db': 1, 'd': 2, 'd#': 3, 'eb': 3, 'e': 4,
'f': 5, 'f#': 6, 'gb': 6, 'g': 7, 'g#': 8, 'ab': 8, 'a': 9,
'a#': 10, 'bb': 10, 'b': 11, 'x': None}
def validate_key(key):
if len(key.split()) != 2 \
... | true | true |
f72e8c5866fb2e87ce436a3e9688b5cbeb43d9f5 | 52,622 | py | Python | main.py | LinZichuan/AdMRL | 50a22d4d480e99125cc91cc65dfcc0df4a883ac6 | [
"MIT"
] | 27 | 2020-06-17T11:40:17.000Z | 2021-11-16T07:39:33.000Z | main.py | LinZichuan/AdMRL | 50a22d4d480e99125cc91cc65dfcc0df4a883ac6 | [
"MIT"
] | 3 | 2020-06-19T07:01:48.000Z | 2020-06-19T07:14:57.000Z | main.py | LinZichuan/AdMRL | 50a22d4d480e99125cc91cc65dfcc0df4a883ac6 | [
"MIT"
] | 5 | 2020-11-19T01:11:24.000Z | 2021-12-24T09:03:56.000Z | import sys
sys.path = ['./rllab/'] + sys.path
print (sys.path)
import pickle
import os,time
from collections import deque
import tensorflow as tf
import numpy as np
import lunzi.nn as nn
from lunzi.Logger import logger
from slbo.utils.average_meter import AverageMeter
from slbo.utils.flags import FLAGS
from slbo.utils.... | 54.30547 | 354 | 0.609137 | import sys
sys.path = ['./rllab/'] + sys.path
print (sys.path)
import pickle
import os,time
from collections import deque
import tensorflow as tf
import numpy as np
import lunzi.nn as nn
from lunzi.Logger import logger
from slbo.utils.average_meter import AverageMeter
from slbo.utils.flags import FLAGS
from slbo.utils.... | true | true |
f72e8cc5d63278100727c1c262ba1c22725d8d19 | 34,804 | py | Python | AppPkg/Applications/Python/Python-2.7.2/Lib/encodings/cp855.py | CEOALT1/RefindPlusUDK | 116b957ad735f96fbb6d80a0ba582046960ba164 | [
"BSD-2-Clause"
] | 2,757 | 2018-04-28T21:41:36.000Z | 2022-03-29T06:33:36.000Z | AppPkg/Applications/Python/Python-2.7.2/Lib/encodings/cp855.py | CEOALT1/RefindPlusUDK | 116b957ad735f96fbb6d80a0ba582046960ba164 | [
"BSD-2-Clause"
] | 20 | 2019-07-23T15:29:32.000Z | 2022-01-21T12:53:04.000Z | AppPkg/Applications/Python/Python-2.7.2/Lib/encodings/cp855.py | CEOALT1/RefindPlusUDK | 116b957ad735f96fbb6d80a0ba582046960ba164 | [
"BSD-2-Clause"
] | 449 | 2018-05-09T05:54:05.000Z | 2022-03-30T14:54:18.000Z | """ Python Character Mapping Codec generated from 'VENDORS/MICSFT/PC/CP855.TXT' with gencodec.py.
"""#"
import codecs
### Codec APIs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(input,errors,encoding_map)
def decode(self,input,errors=... | 49.79113 | 98 | 0.596684 |
import codecs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(input,errors,encoding_map)
def decode(self,input,errors='strict'):
return codecs.charmap_decode(input,errors,decoding_table)
class IncrementalEncoder(codecs.Incremental... | true | true |
f72e8d3f29aa1af65b058c4504d5648e6c8fb53e | 18,293 | py | Python | benchmarks/f3_wrong_hints/scaling_ltl_timed_transition_system/14-sender_receiver_2.py | EnricoMagnago/F3 | c863215c318d7d5f258eb9be38c6962cf6863b52 | [
"MIT"
] | 3 | 2021-04-23T23:29:26.000Z | 2022-03-23T10:00:30.000Z | benchmarks/f3_wrong_hints/scaling_ltl_timed_transition_system/14-sender_receiver_2.py | EnricoMagnago/F3 | c863215c318d7d5f258eb9be38c6962cf6863b52 | [
"MIT"
] | null | null | null | benchmarks/f3_wrong_hints/scaling_ltl_timed_transition_system/14-sender_receiver_2.py | EnricoMagnago/F3 | c863215c318d7d5f258eb9be38c6962cf6863b52 | [
"MIT"
] | 1 | 2021-11-17T22:02:56.000Z | 2021-11-17T22:02:56.000Z | from typing import FrozenSet
from collections import Iterable
from math import log, ceil
from mathsat import msat_term, msat_env
from mathsat import msat_make_constant, msat_declare_function
from mathsat import msat_get_integer_type, msat_get_rational_type, msat_get_bool_type
from mathsat import msat_make_and, msa... | 38.350105 | 89 | 0.574865 | from typing import FrozenSet
from collections import Iterable
from math import log, ceil
from mathsat import msat_term, msat_env
from mathsat import msat_make_constant, msat_declare_function
from mathsat import msat_get_integer_type, msat_get_rational_type, msat_get_bool_type
from mathsat import msat_make_and, msa... | true | true |
f72e8d751c0523f0e8d682b392acc2d5952982f1 | 394 | py | Python | checkout/migrations/0005_orderitem_completed.py | yusif763/Unistore-pro | 41ad0fa209c79a201d3f6a7aa68ec0ace707dcad | [
"MIT"
] | 3 | 2021-04-29T10:49:06.000Z | 2022-03-03T12:40:21.000Z | checkout/migrations/0005_orderitem_completed.py | yusif763/Unistore-pro | 41ad0fa209c79a201d3f6a7aa68ec0ace707dcad | [
"MIT"
] | null | null | null | checkout/migrations/0005_orderitem_completed.py | yusif763/Unistore-pro | 41ad0fa209c79a201d3f6a7aa68ec0ace707dcad | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-04-27 11:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('checkout', '0004_checkout_completed'),
]
operations = [
migrations.AddField(
model_name='orderitem',
name='completed... | 20.736842 | 53 | 0.606599 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('checkout', '0004_checkout_completed'),
]
operations = [
migrations.AddField(
model_name='orderitem',
name='completed',
field=models.BooleanField(default... | true | true |
f72e8d94ce9c8b70aedb2c77a687ec9e45d85bfa | 2,794 | py | Python | exercises/sliding_alignment.py | saiden89/programming_stefano_roncelli | 3b77259e7e590fffd49dae96e0be16c934cae051 | [
"MIT"
] | 2 | 2020-01-13T08:41:52.000Z | 2020-01-15T15:33:28.000Z | exercises/sliding_alignment.py | saiden89/programming_stefano_roncelli | 3b77259e7e590fffd49dae96e0be16c934cae051 | [
"MIT"
] | null | null | null | exercises/sliding_alignment.py | saiden89/programming_stefano_roncelli | 3b77259e7e590fffd49dae96e0be16c934cae051 | [
"MIT"
] | null | null | null | # 2) Write a script that generates all the possible ungapped alignments of two sequences, scores them and identifies
# the best scoring ones.
#
# These are all the possible ungapped alingments of the two sequences: TCA and GA:
#
# --TCA -TCA TCA TCA TCA- TCA--
# GA--- GA-- GA- -GA --GA ---GA
#
# Using the fol... | 27.94 | 153 | 0.581961 |
matrix = {'AA': 2, 'AC': -1, 'AT': -1, 'AG': -2, 'CC': 2, 'CT': 0, 'CG': -1,
'TT': 2, 'TG': -1, 'GG': 2, 'CA': -1, 'TA': -1, 'GA': -2, 'TC': 0,
'GC': -1, 'GT': -1, }
human = open('./data/titin_hu.txt', 'r')
mouse = open('./data/titin_mo.txt', 'r')
seq1 = ''
seq2 = ''
for line in human:
line = l... | true | true |
f72e8dcfb6a1d538af304734c158aabf6a2827cf | 5,580 | py | Python | keras/ltlib/evaluation.py | cambridgeltl/cancer-hallmark-cnn | a1aba55ba425aa0deac4f80c97572a146e4097bb | [
"MIT"
] | 7 | 2017-07-15T08:45:06.000Z | 2021-06-28T14:09:25.000Z | keras/ltlib/evaluation.py | cambridgeltl/cancer-hallmark-cnn | a1aba55ba425aa0deac4f80c97572a146e4097bb | [
"MIT"
] | null | null | null | keras/ltlib/evaluation.py | cambridgeltl/cancer-hallmark-cnn | a1aba55ba425aa0deac4f80c97572a146e4097bb | [
"MIT"
] | 4 | 2018-11-27T06:41:29.000Z | 2022-03-19T11:06:43.000Z | import numpy as np # TODO remove dependency
from collections import namedtuple
from itertools import chain
from sklearn import metrics as skmetrics
from util import unique
from logging import warn
BinaryClassificationCounts = namedtuple('BinaryClassificationCounts',
'tp t... | 34.233129 | 78 | 0.623835 | import numpy as np
from collections import namedtuple
from itertools import chain
from sklearn import metrics as skmetrics
from util import unique
from logging import warn
BinaryClassificationCounts = namedtuple('BinaryClassificationCounts',
'tp tn fp fn')
BinaryClassific... | true | true |
f72e8e165d3d5f54741251e1676396f0a12b4e4f | 5,929 | py | Python | lian/ssh_deploy.py | catroll/lian | 405fd0c8c4ce8557609bf595431284a07e7b443e | [
"Apache-2.0"
] | null | null | null | lian/ssh_deploy.py | catroll/lian | 405fd0c8c4ce8557609bf595431284a07e7b443e | [
"Apache-2.0"
] | null | null | null | lian/ssh_deploy.py | catroll/lian | 405fd0c8c4ce8557609bf595431284a07e7b443e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
import os
import re
import time
from collections import OrderedDict
LOG = logging.getLogger(__name__)
def md5sum_command(directory='.', find_type='f', match='', not_match=''):
return ' '.join([i for i in [
'find', directory,
('-type %s' % find_type) if find... | 31.041885 | 110 | 0.608366 |
import logging
import os
import re
import time
from collections import OrderedDict
LOG = logging.getLogger(__name__)
def md5sum_command(directory='.', find_type='f', match='', not_match=''):
return ' '.join([i for i in [
'find', directory,
('-type %s' % find_type) if find_type else '',
... | true | true |
f72e8e927897fafefe42d0edd70415afe4ce8502 | 2,987 | py | Python | mailparser/const.py | nitishkansal/mail-parser | d10e6dbec5c37ca740f5ef2edc70eba2c05fdaf5 | [
"Apache-2.0"
] | 1 | 2021-12-04T14:57:49.000Z | 2021-12-04T14:57:49.000Z | mailparser/const.py | KonstantinKlepikov/mail-parser | c90cb1cd72fcf986fa013acbbc1277b7b6fa2e84 | [
"Apache-2.0"
] | 48 | 2020-02-17T07:43:41.000Z | 2021-08-02T05:42:12.000Z | mailparser/const.py | KonstantinKlepikov/mail-parser | c90cb1cd72fcf986fa013acbbc1277b7b6fa2e84 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright 2018 Fedele Mantuano (https://twitter.com/fedelemantuano)
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/lice... | 28.721154 | 77 | 0.579846 |
import re
REGXIP = re.compile(r"\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}")
JUNK_PATTERN = r'[ \(\)\[\]\t\n]+'
RECEIVED_PATTERNS = [
(
r'(?:(?:^|\s)from\s+(?P<from>.+?)(?:\s*[(]?'
r'envelope-from|\s*[(]?envelope-sender|\s+'
r'by|\s+with(?! cipher)|\s+id|\s+for|\s+via|;))'
... | true | true |
f72e9050f2607486b7faa4d1c4b1e9b2a220fdb9 | 360 | py | Python | yeelight/__init__.py | kmohrf/python-yeelight | 483019c074556b4c3d2f665398f0fc308afd6274 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | yeelight/__init__.py | kmohrf/python-yeelight | 483019c074556b4c3d2f665398f0fc308afd6274 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | yeelight/__init__.py | kmohrf/python-yeelight | 483019c074556b4c3d2f665398f0fc308afd6274 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | # flake8: noqa
"""A Python library for controlling YeeLight RGB bulbs."""
from yeelight.enums import BulbType, CronType, LightType, PowerMode, SceneClass
from yeelight.flow import Flow, HSVTransition, RGBTransition, SleepTransition, TemperatureTransition
from yeelight.main import Bulb, BulbException, discover_bulbs
f... | 40 | 100 | 0.827778 |
from yeelight.enums import BulbType, CronType, LightType, PowerMode, SceneClass
from yeelight.flow import Flow, HSVTransition, RGBTransition, SleepTransition, TemperatureTransition
from yeelight.main import Bulb, BulbException, discover_bulbs
from yeelight.version import __version__
| true | true |
f72e9115ce15721094d17e92eb46738e05716f2a | 2,138 | py | Python | keras/utils/np_utils.py | Jallet/keras-jl-ac-mean | 2bbc1596192fb8c3aefc4a8126482a5283574a59 | [
"MIT"
] | 1 | 2016-12-15T07:20:42.000Z | 2016-12-15T07:20:42.000Z | keras/utils/np_utils.py | Jallet/keras-jl-ac-mean | 2bbc1596192fb8c3aefc4a8126482a5283574a59 | [
"MIT"
] | null | null | null | keras/utils/np_utils.py | Jallet/keras-jl-ac-mean | 2bbc1596192fb8c3aefc4a8126482a5283574a59 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
import numpy as np
import scipy as sp
from six.moves import range
from six.moves import zip
def to_categorical(y, nb_classes=None):
'''Convert class vector (integers from 0 to nb_classes)
to binary class matrix, for use with categorical_crossentropy.
'''
if not n... | 27.766234 | 76 | 0.596819 | from __future__ import absolute_import
import numpy as np
import scipy as sp
from six.moves import range
from six.moves import zip
def to_categorical(y, nb_classes=None):
if not nb_classes:
nb_classes = np.max(y)+1
Y = np.zeros((len(y), nb_classes))
for i in range(len(y)):
Y[i, y[i]] = 1.
... | true | true |
f72e9130a037400e6880119aa046276237c3a43a | 827 | py | Python | conman/routes/migrations/0003_add_validators.py | meshy/django-conman | c739d09250d02d99068358e925ed8298a2a37a75 | [
"BSD-2-Clause"
] | null | null | null | conman/routes/migrations/0003_add_validators.py | meshy/django-conman | c739d09250d02d99068358e925ed8298a2a37a75 | [
"BSD-2-Clause"
] | 81 | 2015-07-27T23:21:49.000Z | 2018-05-21T22:06:09.000Z | conman/routes/migrations/0003_add_validators.py | meshy/django-conman | c739d09250d02d99068358e925ed8298a2a37a75 | [
"BSD-2-Clause"
] | 2 | 2015-10-06T09:18:06.000Z | 2017-03-17T08:51:56.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import conman.routes.validators
class Migration(migrations.Migration):
dependencies = [
('routes', '0002_remove_slug_parent'),
]
operations = [
migrations.AlterField(
mod... | 39.380952 | 448 | 0.740024 | from __future__ import unicode_literals
from django.db import models, migrations
import conman.routes.validators
class Migration(migrations.Migration):
dependencies = [
('routes', '0002_remove_slug_parent'),
]
operations = [
migrations.AlterField(
model_name='route',
... | true | true |
f72e91674e57314a4df5f2282bf245e700c13ea3 | 1,852 | py | Python | pycs/character.py | dwagon/pycs | 4d02acbf380526d3bf0380f6bb8b757a827024b8 | [
"MIT"
] | null | null | null | pycs/character.py | dwagon/pycs | 4d02acbf380526d3bf0380f6bb8b757a827024b8 | [
"MIT"
] | null | null | null | pycs/character.py | dwagon/pycs | 4d02acbf380526d3bf0380f6bb8b757a827024b8 | [
"MIT"
] | null | null | null | """ Base Player character """
from pycs.creature import Creature
from pycs.spell import SpellAction
from pycs.races import Human
from pycs.util import check_args
from pycs.constant import Condition
from pycs.constant import DamageType
##############################################################################
clas... | 35.615385 | 80 | 0.50432 | from pycs.creature import Creature
from pycs.spell import SpellAction
from pycs.races import Human
from pycs.util import check_args
from pycs.constant import Condition
from pycs.constant import DamageType
class Character(Creature):
def __init__(self, **kwargs):
check_args(self._valid_args(), self.__class... | true | true |
f72e91692ce19b47db39e089f77ace71680d7ddd | 1,089 | py | Python | sdk/python/pulumi_azure_native/storsimple/v20161001/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/storsimple/v20161001/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/storsimple/v20161001/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from ... import _utilities
import typing
# Export this package's modules as members:
from ._enums import *
from .access_control_record import *
from .b... | 32.029412 | 80 | 0.790634 |
from ... import _utilities
import typing
# Export this package's modules as members:
from ._enums import *
from .access_control_record import *
from .backup_schedule_group import *
from .chap_setting import *
from .file_server import *
from .file_share import *
from .get_access_control_record import *
from .get_backup... | true | true |
f72e91c889dbea08c3f350b640e6e04270a313e4 | 1,951 | py | Python | data/logs_model/__init__.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | 1 | 2020-10-16T19:30:41.000Z | 2020-10-16T19:30:41.000Z | data/logs_model/__init__.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | 15 | 2020-06-18T15:32:06.000Z | 2022-03-03T23:06:24.000Z | data/logs_model/__init__.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | null | null | null | import logging
from data.logs_model.table_logs_model import TableLogsModel
from data.logs_model.document_logs_model import DocumentLogsModel
from data.logs_model.combined_model import CombinedLogsModel
logger = logging.getLogger(__name__)
def _transition_model(*args, **kwargs):
return CombinedLogsModel(Document... | 30.968254 | 98 | 0.682727 | import logging
from data.logs_model.table_logs_model import TableLogsModel
from data.logs_model.document_logs_model import DocumentLogsModel
from data.logs_model.combined_model import CombinedLogsModel
logger = logging.getLogger(__name__)
def _transition_model(*args, **kwargs):
return CombinedLogsModel(Document... | true | true |
f72e91dd9b9f3ef8e8276dee26fe5cfef7d818db | 1,160 | py | Python | nornir/failed_tasks/partial_fail.py | twin-bridges/pynet-ons | f3abe14a6760bddea2addab75e6d87d5f5454b7b | [
"Apache-2.0"
] | 1 | 2021-01-11T23:17:26.000Z | 2021-01-11T23:17:26.000Z | nornir/failed_tasks/partial_fail.py | twin-bridges/pynet-ons | f3abe14a6760bddea2addab75e6d87d5f5454b7b | [
"Apache-2.0"
] | null | null | null | nornir/failed_tasks/partial_fail.py | twin-bridges/pynet-ons | f3abe14a6760bddea2addab75e6d87d5f5454b7b | [
"Apache-2.0"
] | 7 | 2020-07-21T17:15:08.000Z | 2021-12-14T01:13:56.000Z | from nornir import InitNornir
from nornir.plugins.tasks.networking import netmiko_send_command
from nornir.plugins.functions.text import print_result
def failed_task(task):
print()
print("-" * 60)
print(f"This is a host that earlier failed: {task.host.name}")
print("-" * 60)
print()
if __name__ ... | 28.292683 | 88 | 0.711207 | from nornir import InitNornir
from nornir.plugins.tasks.networking import netmiko_send_command
from nornir.plugins.functions.text import print_result
def failed_task(task):
print()
print("-" * 60)
print(f"This is a host that earlier failed: {task.host.name}")
print("-" * 60)
print()
if __name__ ... | true | true |
f72e93a0f4fd80901bd47d30bfa9f5cea0f21a98 | 663 | py | Python | schematic/utils/__init__.py | nf-osi/schematic | b59856f40c613a43d117fe3fafa2ca5ba5bbf8d6 | [
"MIT"
] | null | null | null | schematic/utils/__init__.py | nf-osi/schematic | b59856f40c613a43d117fe3fafa2ca5ba5bbf8d6 | [
"MIT"
] | 6 | 2020-10-08T19:53:47.000Z | 2021-05-07T14:50:39.000Z | schematic/utils/__init__.py | nf-osi/schematic | b59856f40c613a43d117fe3fafa2ca5ba5bbf8d6 | [
"MIT"
] | null | null | null | from schematic.utils.curie_utils import expand_curie_to_uri, expand_curies_in_schema, extract_name_from_uri_or_curie, uri2label
from schematic.utils.df_utils import update_df
from schematic.utils.general import dict2list, find_duplicates, str2list, unlist
from schematic.utils.google_api_utils import download_creds_file... | 73.666667 | 127 | 0.891403 | from schematic.utils.curie_utils import expand_curie_to_uri, expand_curies_in_schema, extract_name_from_uri_or_curie, uri2label
from schematic.utils.df_utils import update_df
from schematic.utils.general import dict2list, find_duplicates, str2list, unlist
from schematic.utils.google_api_utils import download_creds_file... | true | true |
f72e93d2aa15998810aa737c1e59d2250453be8f | 2,173 | py | Python | os_ken/lib/sockopt.py | faucetsdn/python3-os-ken | 31037f6388b7885c859391802451b867c30f1694 | [
"Apache-2.0"
] | 4 | 2018-10-25T08:42:56.000Z | 2019-04-24T04:01:26.000Z | os_ken/lib/sockopt.py | anlaneg/os-ken | 379a7694c3129cc0156343af71f4fca8830d9de5 | [
"Apache-2.0"
] | 1 | 2021-05-09T06:14:16.000Z | 2021-05-09T06:14:18.000Z | os_ken/lib/sockopt.py | anlaneg/os-ken | 379a7694c3129cc0156343af71f4fca8830d9de5 | [
"Apache-2.0"
] | 5 | 2019-04-24T04:01:01.000Z | 2020-06-20T14:38:04.000Z | # Copyright (C) 2014 Nippon Telegraph and Telephone Corporation.
# Copyright (C) 2014 YAMAMOTO Takashi <yamamoto at valinux co jp>
#
# 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:... | 30.180556 | 77 | 0.682006 |
import platform
import socket
import struct
from os_ken.lib import sockaddr
TCP_MD5SIG_LINUX = 0x0e
TCP_MD5SIG_BSD = 0x10
def _set_tcp_md5sig_linux(s, addr, key):
af = s.family
if af == socket.AF_INET:
sa = sockaddr.sa_in4(addr)
elif af == socket.AF_INET6:
s... | true | true |
f72e9456c271e20b045e78bd9e5b9a814fc335e4 | 854 | py | Python | source/cmdline_test.py | birdwes/Asterisk_Google_Authenticator | 85d1eec3bcf8ca5a3b8df258e00096a4854101dc | [
"MIT"
] | 1 | 2022-02-13T19:03:17.000Z | 2022-02-13T19:03:17.000Z | source/cmdline_test.py | birdwes/Asterisk_Google_Authenticator | 85d1eec3bcf8ca5a3b8df258e00096a4854101dc | [
"MIT"
] | null | null | null | source/cmdline_test.py | birdwes/Asterisk_Google_Authenticator | 85d1eec3bcf8ca5a3b8df258e00096a4854101dc | [
"MIT"
] | 2 | 2022-02-14T09:02:48.000Z | 2022-02-16T06:50:40.000Z | #!/usr/bin/env python3
import sys
import hashlib
import hmac
import base64
import secrets
import re
import datetime
from datetime import timezone
import math
from GoogleOTP import GoogleOTP
# Implementation of Google Authenticator verification
# To generate secrets:
# secret = generateSecret()
# print( secret )... | 21.897436 | 102 | 0.758782 |
import sys
import hashlib
import hmac
import base64
import secrets
import re
import datetime
from datetime import timezone
import math
from GoogleOTP import GoogleOTP
class GoogleOTPfileLookup( GoogleOTP ):
def lookupUserSecret( self, userID ):
return 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
otp = GoogleO... | true | true |
f72e9481f5e2c06c3f9ab22b5c21260254d1a13a | 22,798 | py | Python | django_sites/pegasus/venv/lib/python3.6/site-packages/postman/models.py | omaralaniz/pegasus | 410d0f0bcaace704a81e62eba68f76bf13a79399 | [
"MIT"
] | null | null | null | django_sites/pegasus/venv/lib/python3.6/site-packages/postman/models.py | omaralaniz/pegasus | 410d0f0bcaace704a81e62eba68f76bf13a79399 | [
"MIT"
] | 1 | 2020-07-20T01:03:42.000Z | 2020-07-20T01:03:42.000Z | django_sites/pegasus/venv/lib/python3.6/site-packages/postman/models.py | aguanlao/csc648-sp19-team104 | 5ebde40a2b93a9c0925ea422e9e173423f0fc940 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import hashlib
try:
from importlib import import_module
except ImportError:
from django.utils.importlib import import_module # Django 1.6 / py2.6
from django import VERSION
from django.conf import settings
from django.core.exceptions import ValidationError
if VERSION < ... | 39.71777 | 144 | 0.630055 | from __future__ import unicode_literals
import hashlib
try:
from importlib import import_module
except ImportError:
from django.utils.importlib import import_module
from django import VERSION
from django.conf import settings
from django.core.exceptions import ValidationError
if VERSION < (1, 10):
from dja... | true | true |
f72e9493dc3832bb184f22f70089b28ea0887e1a | 10,895 | py | Python | abraia/hsi.py | abraia/abraia-python | e49e3869b2ee7e6b1bcb41e0cc1ae126ac39e202 | [
"MIT"
] | 4 | 2018-03-23T22:32:53.000Z | 2020-08-25T12:42:00.000Z | abraia/hsi.py | abraia/abraia-multiple | e49e3869b2ee7e6b1bcb41e0cc1ae126ac39e202 | [
"MIT"
] | 5 | 2021-02-18T20:29:09.000Z | 2022-03-29T09:28:57.000Z | abraia/hsi.py | abraia/abraia-python | e49e3869b2ee7e6b1bcb41e0cc1ae126ac39e202 | [
"MIT"
] | 1 | 2021-01-22T23:51:14.000Z | 2021-01-22T23:51:14.000Z | import os
import wget
import tempfile
import numpy as np
import scipy.io as sio
import scipy.ndimage as nd
from PIL import Image
from sklearn.svm import SVC
from sklearn.utils import resample
from sklearn.decomposition import PCA
from sklearn.model_selection import train_test_split
from sklearn.metrics import classifi... | 40.055147 | 130 | 0.659752 | import os
import wget
import tempfile
import numpy as np
import scipy.io as sio
import scipy.ndimage as nd
from PIL import Image
from sklearn.svm import SVC
from sklearn.utils import resample
from sklearn.decomposition import PCA
from sklearn.model_selection import train_test_split
from sklearn.metrics import classifi... | true | true |
f72e951622f6044f08a25ce59529d0101e14827c | 1,346 | py | Python | adminmgr/media/code/A3/task2/BD_749_1674.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 9 | 2019-11-08T02:05:27.000Z | 2021-12-13T12:06:35.000Z | adminmgr/media/code/A3/task2/BD_749_1674.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 6 | 2019-11-27T03:23:16.000Z | 2021-06-10T19:15:13.000Z | adminmgr/media/code/A3/task2/BD_749_1674.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 4 | 2019-11-26T17:04:27.000Z | 2021-12-13T11:57:03.000Z | from pyspark.sql.types import StructType
import pyspark.sql.functions as F
from pyspark.sql.functions import explode
from pyspark.sql.functions import split
from pyspark.sql import SparkSession,SQLContext
from pyspark import SparkContext,SparkConf
spark = SparkSession \
.builder \
.appName("task1") \
.get... | 28.638298 | 133 | 0.708024 | from pyspark.sql.types import StructType
import pyspark.sql.functions as F
from pyspark.sql.functions import explode
from pyspark.sql.functions import split
from pyspark.sql import SparkSession,SQLContext
from pyspark import SparkContext,SparkConf
spark = SparkSession \
.builder \
.appName("task1") \
.get... | true | true |
f72e9525bfd75b58c874cba5b790cbac710cb9dd | 14,113 | py | Python | research/object_detection/export_tflite_ssd_graph_lib.py | gujralsanyam22/models | d96f8f043dbe2b5ca8ea1785f57df8faf68d8875 | [
"Apache-2.0"
] | 82,518 | 2016-02-05T12:07:23.000Z | 2022-03-31T23:09:47.000Z | research/object_detection/export_tflite_ssd_graph_lib.py | yangxl-2014-fe/models | 11ea5237818e791a5717716d5413977f4c4db1e3 | [
"Apache-2.0"
] | 9,021 | 2016-03-08T01:02:05.000Z | 2022-03-31T08:06:35.000Z | research/object_detection/export_tflite_ssd_graph_lib.py | yangxl-2014-fe/models | 11ea5237818e791a5717716d5413977f4c4db1e3 | [
"Apache-2.0"
] | 54,341 | 2016-02-06T17:19:55.000Z | 2022-03-31T10:27:44.000Z | # Lint as: python2, python3
# Copyright 2018 The TensorFlow Authors. 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
#
... | 42.128358 | 101 | 0.728194 | import os
import tempfile
import numpy as np
import tensorflow.compat.v1 as tf
from tensorflow.core.framework import attr_value_pb2
from tensorflow.core.framework import types_pb2
from tensorflow.core.protobuf import saver_pb2
from object_detection import exporter
from object_detection.builders import graph_rewriter_bu... | true | true |
f72e965b76a38bbb24d1f12720ee08067253c519 | 510 | py | Python | lab2/number_even.py | irisxiu666/5001 | 07ea4bac4fa7c1f961d93bdd9723716b2452adc4 | [
"MIT"
] | null | null | null | lab2/number_even.py | irisxiu666/5001 | 07ea4bac4fa7c1f961d93bdd9723716b2452adc4 | [
"MIT"
] | null | null | null | lab2/number_even.py | irisxiu666/5001 | 07ea4bac4fa7c1f961d93bdd9723716b2452adc4 | [
"MIT"
] | null | null | null | """ A program to judge whether an integer is odd or even."""
def main():
# Input the number with integer type.
number = int(input('Input number: '))
# Assuming the reminder of the number dividing by 2 is 0,
# the number is even and print it out.
if number % 2 == 0:
print(number, 'is even')... | 26.842105 | 64 | 0.621569 |
def main():
number = int(input('Input number: '))
if number % 2 == 0:
print(number, 'is even')
# the number is odd and print it out.
else:
print(number, 'is odd')
if __name__ == '__main__':
main()
| true | true |
f72e96c7a9c0f18f6c980fcbc1de140fbd826ae4 | 3,370 | py | Python | vulnerabilities/importers/archlinux.py | ziadhany/vulnerablecode | c94ed5701a70bc836a66484f6d54aacc81c4288f | [
"Apache-2.0"
] | null | null | null | vulnerabilities/importers/archlinux.py | ziadhany/vulnerablecode | c94ed5701a70bc836a66484f6d54aacc81c4288f | [
"Apache-2.0"
] | null | null | null | vulnerabilities/importers/archlinux.py | ziadhany/vulnerablecode | c94ed5701a70bc836a66484f6d54aacc81c4288f | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) nexB Inc. and others. All rights reserved.
# VulnerableCode is a trademark of nexB Inc.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/vulnerablecode for support or download.
# See https://aboutcode.org for mor... | 33.366337 | 97 | 0.546884 | import dataclasses
import json
from typing import Iterable
from typing import List
from typing import Mapping
from typing import Set
from urllib.request import urlopen
from packageurl import PackageURL
from vulnerabilities import severity_systems
from vulnerabilities.importer import AdvisoryData
from vulnerabilities.... | true | true |
f72e96f5af4b264e6fbcdc962ecc0d3a0e21838e | 14,369 | py | Python | jni-build/jni/include/tensorflow/python/training/server_lib_test.py | rcelebi/android-elfali | 4ea14a58a18356ef9e16aba2e7dae84c02afba12 | [
"Apache-2.0"
] | 680 | 2016-12-03T14:38:28.000Z | 2022-02-16T04:06:45.000Z | tensorflow/python/training/server_lib_test.py | alainrk/tensorflow | 314d9cd9b607460f8bfea80fc828b1521ca18443 | [
"Apache-2.0"
] | 38 | 2016-11-17T08:43:51.000Z | 2019-11-12T12:27:04.000Z | tensorflow/python/training/server_lib_test.py | alainrk/tensorflow | 314d9cd9b607460f8bfea80fc828b1521ca18443 | [
"Apache-2.0"
] | 250 | 2016-12-05T10:37:17.000Z | 2022-03-18T21:26:55.000Z | # Copyright 2016 The TensorFlow Authors. 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 applica... | 37.322078 | 80 | 0.664416 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import numpy as np
import tensorflow as tf
class GrpcServerTest(tf.test.TestCase):
def testRunStep(self):
server = tf.train.Server.create_local_server()
with tf.Session(server.target)... | true | true |
f72e975ec68de10ec951352b654b92d2aa5f1c53 | 908 | py | Python | tests/xgboost_data/models.py | wmonteiro92/xmoai-examples | 0286d57e15cb60693f57cdff386cbb246787442b | [
"MIT"
] | 1 | 2021-03-22T11:31:00.000Z | 2021-03-22T11:31:00.000Z | tests/xgboost_data/models.py | wmonteiro92/xmoai-examples | 0286d57e15cb60693f57cdff386cbb246787442b | [
"MIT"
] | null | null | null | tests/xgboost_data/models.py | wmonteiro92/xmoai-examples | 0286d57e15cb60693f57cdff386cbb246787442b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 17 21:16:08 2020
@author: wmonteiro92
"""
from xgboost import XGBRegressor, XGBClassifier
def train_ml_model(X, y, algorithm, random_state=0):
"""Train one dataset in Python.
:param X: the input values.
:type X: np.array
:param y: the targ... | 27.515152 | 76 | 0.643172 |
from xgboost import XGBRegressor, XGBClassifier
def train_ml_model(X, y, algorithm, random_state=0):
if algorithm == 'XGBClassifier':
model = XGBClassifier(random_state=random_state)
elif algorithm == 'XGBRegressor':
model = XGBRegressor(random_state=random_state)
model... | true | true |
f72e97da7df88495c60eae65539637bc4aa922b9 | 18,895 | py | Python | timml/model.py | Huite/timml | 5eb52066be094326343fe26b46555253fef44dc9 | [
"MIT"
] | 24 | 2015-09-13T17:11:58.000Z | 2021-12-14T09:09:17.000Z | timml/model.py | Huite/timml | 5eb52066be094326343fe26b46555253fef44dc9 | [
"MIT"
] | 42 | 2015-09-23T19:29:34.000Z | 2022-01-17T09:13:14.000Z | timml/model.py | Huite/timml | 5eb52066be094326343fe26b46555253fef44dc9 | [
"MIT"
] | 26 | 2015-08-24T17:25:27.000Z | 2021-07-09T14:09:30.000Z | """
Model classes
"""
import numpy as np
import sys
import inspect # Used for storing the input
from .aquifer import Aquifer
from .aquifer_parameters import param_maq, param_3d
from .constant import ConstantStar
from .util import PlotTim
import multiprocessing as mp
__all__ = ['Model', 'ModelMaq', 'Model3D']
class... | 35.450281 | 117 | 0.54136 |
import numpy as np
import sys
import inspect from .aquifer import Aquifer
from .aquifer_parameters import param_maq, param_3d
from .constant import ConstantStar
from .util import PlotTim
import multiprocessing as mp
__all__ = ['Model', 'ModelMaq', 'Model3D']
class Model(PlotTim):
def __init__(self, kaq, c,... | true | true |
f72e99326922bbcda505ef3370008898b5c3b5e9 | 19,599 | py | Python | Lib/ntpath.py | jimmyyu2004/jython | 5b4dc2d54d01a6fda8c55d07b2608167e7a40769 | [
"CNRI-Jython"
] | 332 | 2015-08-22T12:43:56.000Z | 2022-03-17T01:05:43.000Z | Lib/ntpath.py | Pandinosaurus/jython3 | def4f8ec47cb7a9c799ea4c745f12badf92c5769 | [
"CNRI-Jython"
] | 36 | 2015-05-30T08:39:19.000Z | 2022-03-04T20:42:33.000Z | Lib/ntpath.py | Pandinosaurus/jython3 | def4f8ec47cb7a9c799ea4c745f12badf92c5769 | [
"CNRI-Jython"
] | 74 | 2015-05-29T17:18:53.000Z | 2022-01-15T14:06:44.000Z | # Module 'ntpath' -- common operations on WinNT/Win95 pathnames
"""Common pathname manipulations, WindowsNT/95 version.
Instead of importing this module directly, import os and refer to this
module as os.path.
"""
import os
import sys
import stat
import genericpath
import warnings
from genericpath import *
__all__ ... | 34.935829 | 80 | 0.542017 |
import os
import sys
import stat
import genericpath
import warnings
from genericpath import *
__all__ = ["normcase","isabs","join","splitdrive","split","splitext",
"basename","dirname","commonprefix","getsize","getmtime",
"getatime","getctime", "islink","exists","lexists","isdir","isfile",
... | true | true |
f72e99b87018df0efd9d0456b5f140f1ca7e69aa | 1,994 | py | Python | apprentice/learners/when_learners/actor_critic.py | pearlfranz20/AL_Core | 6592079330c7ec3ca264b86f8414970ddab06c0e | [
"MIT"
] | 10 | 2019-11-01T01:09:57.000Z | 2022-02-17T09:15:12.000Z | apprentice/learners/when_learners/actor_critic.py | pearlfranz20/AL_Core | 6592079330c7ec3ca264b86f8414970ddab06c0e | [
"MIT"
] | 40 | 2019-08-06T18:01:31.000Z | 2021-07-15T12:38:56.000Z | apprentice/learners/when_learners/actor_critic.py | pearlfranz20/AL_Core | 6592079330c7ec3ca264b86f8414970ddab06c0e | [
"MIT"
] | 6 | 2019-08-15T01:45:19.000Z | 2021-06-01T19:54:29.000Z | import torch
import torch.nn as nn
class ValueNet(nn.Module):
"""
The part of the actor critic network that computes the state value. Also,
returns the hidden layer before state valuation, for use in action network.
"""
def __init__(self, n_inputs: int, n_hidden: int = None):
"""
... | 29.323529 | 79 | 0.600802 | import torch
import torch.nn as nn
class ValueNet(nn.Module):
def __init__(self, n_inputs: int, n_hidden: int = None):
super(ValueNet, self).__init__()
if n_hidden is None:
n_hidden = (n_inputs + 2) // 2
self.n_hidden = n_hidden
self.hidden = nn.Sequential(
... | true | true |
f72e99c211ca13bdd9ce866e317332537579f66b | 413 | py | Python | Hackerrank-Solutions/Hackerrank-Python-Solutions/Introduction/Python If-Else.py | HetDaftary/Competitive-Coding-Solutions | a683fa11895410c6eef07b1a68054f3e90aa596b | [
"MIT"
] | null | null | null | Hackerrank-Solutions/Hackerrank-Python-Solutions/Introduction/Python If-Else.py | HetDaftary/Competitive-Coding-Solutions | a683fa11895410c6eef07b1a68054f3e90aa596b | [
"MIT"
] | null | null | null | Hackerrank-Solutions/Hackerrank-Python-Solutions/Introduction/Python If-Else.py | HetDaftary/Competitive-Coding-Solutions | a683fa11895410c6eef07b1a68054f3e90aa596b | [
"MIT"
] | null | null | null | #!/bin/python
import math
import os
import random
import re
import sys
if __name__ == '__main__':
n = int(input().strip())
if n % 2: # odd.
print("Weird")
elif n < 5: # All the elif never come if number is odd.
print("Not Weird")
elif n < 21: # If number in 2 to 5 than above wi... | 18.772727 | 84 | 0.581114 |
import math
import os
import random
import re
import sys
if __name__ == '__main__':
n = int(input().strip())
if n % 2: print("Weird")
elif n < 5: print("Not Weird")
elif n < 21: print("Weird")
else:
print("Not Weird")
| true | true |
f72e9a5c6673bca078109fe2cc00c921bf182f20 | 6,244 | py | Python | Surround.py | jcartledge/sublime-surround | 204831d3b9f5219c155b43363c17d6eb606bbe7b | [
"MIT"
] | 22 | 2015-03-19T09:27:26.000Z | 2021-12-04T14:04:39.000Z | Surround.py | jcartledge/sublime-surround | 204831d3b9f5219c155b43363c17d6eb606bbe7b | [
"MIT"
] | 2 | 2016-02-05T11:19:22.000Z | 2017-04-09T05:44:56.000Z | Surround.py | jcartledge/sublime-surround | 204831d3b9f5219c155b43363c17d6eb606bbe7b | [
"MIT"
] | 5 | 2015-01-09T08:37:31.000Z | 2020-07-11T12:33:33.000Z | import sublime
import sublime_plugin
import re
class SurroundWindowCommand(sublime_plugin.WindowCommand):
""" Base class for surround window commands """
def run(self, sel=None):
self.sel = sel
self.window.show_input_panel(
self.caption(), "", self.callback, None, None)
class Su... | 34.120219 | 89 | 0.604901 | import sublime
import sublime_plugin
import re
class SurroundWindowCommand(sublime_plugin.WindowCommand):
def run(self, sel=None):
self.sel = sel
self.window.show_input_panel(
self.caption(), "", self.callback, None, None)
class SurroundSelectionWindowCommand(SurroundWindowCommand):... | true | true |
f72e9b984ac71cf8b83b845a772ada6289eeca8c | 1,947 | py | Python | src/pysilk/__main__.py | wyapx/Python-Silk-Module | 65619c79f78ac930073a8424ddb981b66d97ecde | [
"BSD-2-Clause"
] | null | null | null | src/pysilk/__main__.py | wyapx/Python-Silk-Module | 65619c79f78ac930073a8424ddb981b66d97ecde | [
"BSD-2-Clause"
] | null | null | null | src/pysilk/__main__.py | wyapx/Python-Silk-Module | 65619c79f78ac930073a8424ddb981b66d97ecde | [
"BSD-2-Clause"
] | null | null | null | import argparse
import time
from . import encode_file, decode_file
from .utils import get_file
from .wav import Wave
parser = argparse.ArgumentParser("pysilk", description="encode/decode your silk file")
parser.add_argument("-sr", "--sample-rate", default=24000, help="set pcm samplerate")
parser.add_argument("-q", "-... | 37.442308 | 115 | 0.618387 | import argparse
import time
from . import encode_file, decode_file
from .utils import get_file
from .wav import Wave
parser = argparse.ArgumentParser("pysilk", description="encode/decode your silk file")
parser.add_argument("-sr", "--sample-rate", default=24000, help="set pcm samplerate")
parser.add_argument("-q", "-... | true | true |
f72e9bc5fdf1a9d36616a60693fa75d25f25a068 | 42,688 | py | Python | src/framework.py | peter-clemenko/ptf | b250de6b68159a98936df17c6c0a179e6e0010e4 | [
"FTL"
] | null | null | null | src/framework.py | peter-clemenko/ptf | b250de6b68159a98936df17c6c0a179e6e0010e4 | [
"FTL"
] | null | null | null | src/framework.py | peter-clemenko/ptf | b250de6b68159a98936df17c6c0a179e6e0010e4 | [
"FTL"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# PTF Main framework look and feel
#
# main module imports
from src.core import *
import sys
import readline
import os
import time
import getpass
try:
import pexpect
pexpect_check = 1
except:
print("[!] python-pexpect not installed, gitlab will not work")
... | 52.377914 | 273 | 0.513517 |
from src.core import *
import sys
import readline
import os
import time
import getpass
try:
import pexpect
pexpect_check = 1
except:
print("[!] python-pexpect not installed, gitlab will not work")
print("[!] Run pip install pexpect to install pexpect for gitlab support.")
pexpect_check = 0
try:... | true | true |
f72e9d1be433245d491d2fe54afdb73351728508 | 3,862 | py | Python | tlidb/TLiDB/datasets/clinc150_dataset.py | alon-albalak/TLiDB | 4f3524a3bbe7580e417dd884c4dc8751bdaf8855 | [
"MIT"
] | null | null | null | tlidb/TLiDB/datasets/clinc150_dataset.py | alon-albalak/TLiDB | 4f3524a3bbe7580e417dd884c4dc8751bdaf8855 | [
"MIT"
] | null | null | null | tlidb/TLiDB/datasets/clinc150_dataset.py | alon-albalak/TLiDB | 4f3524a3bbe7580e417dd884c4dc8751bdaf8855 | [
"MIT"
] | null | null | null | from .TLiDB_dataset import TLiDB_Dataset
from tlidb.TLiDB.metrics.all_metrics import Accuracy
class clinc150_dataset(TLiDB_Dataset):
"""
CLINC150 dataset
This is the full dataset from https://github.com/clinc/oos-eval
Input (x):
- text (str): Text utterance
Target (y):
- label (li... | 36.780952 | 93 | 0.551787 | from .TLiDB_dataset import TLiDB_Dataset
from tlidb.TLiDB.metrics.all_metrics import Accuracy
class clinc150_dataset(TLiDB_Dataset):
_dataset_name = "clinc150"
_tasks = ["intent_detection"]
_url = "https://drive.google.com/uc?export=download&id=1dG6KXQ6L7xpbnWmhW9Xo3vPSfYstk43E"
def __init__(self, task... | true | true |
f72e9dda78207301c3e7659b1baf989a356f877b | 9,707 | py | Python | aesara/tensor/nnet/conv3d2d.py | anirudhacharya/Theano-PyMC | 55f54243cf88397b032ebc7121d1090ee91aea7d | [
"BSD-3-Clause"
] | null | null | null | aesara/tensor/nnet/conv3d2d.py | anirudhacharya/Theano-PyMC | 55f54243cf88397b032ebc7121d1090ee91aea7d | [
"BSD-3-Clause"
] | null | null | null | aesara/tensor/nnet/conv3d2d.py | anirudhacharya/Theano-PyMC | 55f54243cf88397b032ebc7121d1090ee91aea7d | [
"BSD-3-Clause"
] | null | null | null | import aesara
from aesara import tensor as at
from aesara.gradient import DisconnectedType
from aesara.graph.basic import Apply
from aesara.graph.op import Op
from aesara.graph.opt import TopoOptimizer, copy_stack_trace, local_optimizer
def get_diagonal_subtensor_view(x, i0, i1):
"""
Helper function for Diago... | 29.685015 | 89 | 0.609457 | import aesara
from aesara import tensor as at
from aesara.gradient import DisconnectedType
from aesara.graph.basic import Apply
from aesara.graph.op import Op
from aesara.graph.opt import TopoOptimizer, copy_stack_trace, local_optimizer
def get_diagonal_subtensor_view(x, i0, i1):
i0 = int(i0)
i1 = int... | true | true |
f72e9f4df3baeedd0f0a991769dc963a8cee6f32 | 897 | py | Python | python/tvm/driver/tvmc/__main__.py | mwillsey/incubator-tvm | e02dc69fef294eb73dd65d18949ed9e108f60cda | [
"Apache-2.0"
] | 4 | 2019-05-08T04:46:07.000Z | 2019-11-11T19:43:04.000Z | python/tvm/driver/tvmc/__main__.py | mwillsey/incubator-tvm | e02dc69fef294eb73dd65d18949ed9e108f60cda | [
"Apache-2.0"
] | 3 | 2020-04-20T15:37:55.000Z | 2020-05-13T05:34:28.000Z | python/tvm/driver/tvmc/__main__.py | mwillsey/incubator-tvm | e02dc69fef294eb73dd65d18949ed9e108f60cda | [
"Apache-2.0"
] | 2 | 2019-08-08T01:48:03.000Z | 2019-09-27T06:49:16.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 35.88 | 62 | 0.758082 |
from .main import main
if __name__ == "__main__":
main()
| true | true |
f72e9fae2a5cbb0065907b84dcb83ecc498baec3 | 161 | py | Python | delicious_treat/__init__.py | briggySmalls/delicious-treat | 92a4eb3ba56262b4b167e06dce52a4cb4b1bb5fb | [
"MIT"
] | null | null | null | delicious_treat/__init__.py | briggySmalls/delicious-treat | 92a4eb3ba56262b4b167e06dce52a4cb4b1bb5fb | [
"MIT"
] | 3 | 2020-03-24T17:57:40.000Z | 2021-02-02T22:23:51.000Z | delicious_treat/__init__.py | briggySmalls/delicious-treat | 92a4eb3ba56262b4b167e06dce52a4cb4b1bb5fb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Top-level package for delicious treat."""
__author__ = """Sam Briggs"""
__email__ = 'briggySmalls90@gmail.com'
__version__ = '0.1.0'
| 23 | 44 | 0.658385 |
__author__ = """Sam Briggs"""
__email__ = 'briggySmalls90@gmail.com'
__version__ = '0.1.0'
| true | true |
f72e9feb8ce2f78432251248f5f7ea13e9f2b929 | 10,321 | py | Python | salt/states/csf.py | springborland/salt | bee85e477d57e9a171884e54fefb9a59d0835ed0 | [
"Apache-2.0"
] | 1 | 2020-04-09T03:25:10.000Z | 2020-04-09T03:25:10.000Z | salt/states/csf.py | springborland/salt | bee85e477d57e9a171884e54fefb9a59d0835ed0 | [
"Apache-2.0"
] | null | null | null | salt/states/csf.py | springborland/salt | bee85e477d57e9a171884e54fefb9a59d0835ed0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
CSF Ip tables management
========================
:depends: - csf utility
:configuration: See http://download.configserver.com/csf/install.txt
for setup instructions.
.. code-block:: yaml
Simply allow/deny rules:
csf.rule_present:
ip: 1.2.3.4
method: allow
"""... | 24.990315 | 87 | 0.560314 | from __future__ import absolute_import, print_function, unicode_literals
import logging
from salt.ext import six
log = logging.getLogger(__name__)
def __virtual__():
return "csf"
def rule_present(
name,
method,
port=None,
proto="tcp",
direction="in",
port_origin="d",
ip_origin="s"... | true | true |
f72ea02cfd7d58ff08cac71df6447397276916de | 1,902 | py | Python | tests/test_text.py | ankurRakuten/WebHelper | 5e36d75161588260371978b8a42f4adf1f0ec252 | [
"BSD-3-Clause"
] | null | null | null | tests/test_text.py | ankurRakuten/WebHelper | 5e36d75161588260371978b8a42f4adf1f0ec252 | [
"BSD-3-Clause"
] | null | null | null | tests/test_text.py | ankurRakuten/WebHelper | 5e36d75161588260371978b8a42f4adf1f0ec252 | [
"BSD-3-Clause"
] | 1 | 2019-07-31T11:00:05.000Z | 2019-07-31T11:00:05.000Z | # -*- coding: utf-8 -*-
from util import WebHelpersTestCase
import unittest
from nose.tools import eq_
from webhelpers.text import *
class TestTextHelper(WebHelpersTestCase):
def test_excerpt(self):
self.assertEqual("...lo my wo...",
excerpt("hello my world", "my", 3))
... | 38.816327 | 88 | 0.572555 | from util import WebHelpersTestCase
import unittest
from nose.tools import eq_
from webhelpers.text import *
class TestTextHelper(WebHelpersTestCase):
def test_excerpt(self):
self.assertEqual("...lo my wo...",
excerpt("hello my world", "my", 3))
self.assertEqual("...... | true | true |
f72ea0bd5ec69a1e378dcf4fa5f871d867ab1210 | 5,929 | py | Python | tensorflow_model_analysis/eval_saved_model/testutil.py | hakanhp/chanel | 6825b60e86c46daabb18f40f1e45d3de2ff8e983 | [
"Apache-2.0"
] | null | null | null | tensorflow_model_analysis/eval_saved_model/testutil.py | hakanhp/chanel | 6825b60e86c46daabb18f40f1e45d3de2ff8e983 | [
"Apache-2.0"
] | null | null | null | tensorflow_model_analysis/eval_saved_model/testutil.py | hakanhp/chanel | 6825b60e86c46daabb18f40f1e45d3de2ff8e983 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 40.889655 | 89 | 0.624051 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import tempfile
import tensorflow as tf
from tensorflow_model_analysis.types_compat import Dict, Iterable, Union, Sequence, Tuple
from tensorflow.core.example import example_pb2
class Tensorflo... | true | true |
f72ea42d49b9e748dddd0ea72f10fa57fb092cbe | 14,348 | py | Python | torch_utils.py | MDoid10111/EMNLP2020 | 97e4da06abc72873a4830cfa53c035a27eb3975b | [
"MIT"
] | 42 | 2020-10-13T19:47:37.000Z | 2022-03-26T09:56:46.000Z | torch_utils.py | MDoid10111/EMNLP2020 | 97e4da06abc72873a4830cfa53c035a27eb3975b | [
"MIT"
] | null | null | null | torch_utils.py | MDoid10111/EMNLP2020 | 97e4da06abc72873a4830cfa53c035a27eb3975b | [
"MIT"
] | 5 | 2020-11-30T14:48:44.000Z | 2022-02-19T17:18:21.000Z | import numpy as np
import torch, os
import torch.nn.utils.rnn as rnn_utils
from typing import Tuple
import torch.nn as nn
import torch.nn.functional as F
from PIL import Image
import torchvision
from torchvision import transforms
def flatten(x):
'''
flatten high dimensional tensor x into an array
:param x... | 31.259259 | 118 | 0.625802 | import numpy as np
import torch, os
import torch.nn.utils.rnn as rnn_utils
from typing import Tuple
import torch.nn as nn
import torch.nn.functional as F
from PIL import Image
import torchvision
from torchvision import transforms
def flatten(x):
dims = x.size()[1:] num_features = 1
for s in dims: num_feat... | true | true |
f72ea474aea803c8551d2dd9a3d642ba5bdfa8bf | 6,529 | py | Python | qa/rpc-tests/txn_doublespend.py | mirzaei-ce/core-outbit | 3ebf7d8f398fa564c593433f7808d0a1d35809b9 | [
"MIT"
] | null | null | null | qa/rpc-tests/txn_doublespend.py | mirzaei-ce/core-outbit | 3ebf7d8f398fa564c593433f7808d0a1d35809b9 | [
"MIT"
] | null | null | null | qa/rpc-tests/txn_doublespend.py | mirzaei-ce/core-outbit | 3ebf7d8f398fa564c593433f7808d0a1d35809b9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# Copyright (c) 2014-2015 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Test proper accounting with a double-spend conflict
#
from test_framework.test_framework import Outb... | 45.657343 | 111 | 0.606065 |
from test_framework.test_framework import OutbitTestFramework
from test_framework.util import *
class TxnMallTest(OutbitTestFramework):
def add_options(self, parser):
parser.add_option("--mineblock", dest="mine_block", default=False, action="store_true",
help="Test double-spend... | true | true |
f72ea519259a797fa9330cd2c0f999cf42083662 | 3,975 | py | Python | diverse/conveyor.py | sakkada/django-diverse | dbd13bb13c3663d6149a28d94daaf06c1e47b0f4 | [
"MIT"
] | null | null | null | diverse/conveyor.py | sakkada/django-diverse | dbd13bb13c3663d6149a28d94daaf06c1e47b0f4 | [
"MIT"
] | null | null | null | diverse/conveyor.py | sakkada/django-diverse | dbd13bb13c3663d6149a28d94daaf06c1e47b0f4 | [
"MIT"
] | null | null | null | import os
import time
import shutil
import hashlib
import mimetypes
from django.core.files.storage import FileSystemStorage
from . import settings
class VersionGenerationError(Exception):
pass
class Conveyor(object):
# convention: storage should operate files on local filesystem
# to allow processors us... | 37.149533 | 80 | 0.580881 | import os
import time
import shutil
import hashlib
import mimetypes
from django.core.files.storage import FileSystemStorage
from . import settings
class VersionGenerationError(Exception):
pass
class Conveyor(object):
storage_allowed = (FileSystemStorage,)
storage = None
def __init__(self, *... | true | true |
f72ea553a3dff77429beda1663ea93edb12f2be7 | 56 | py | Python | tests/__init__.py | dougppaz/pyaml_env | 09d3c43da39d5f997ac88b0b7e9945de797eca02 | [
"MIT"
] | 30 | 2021-04-27T15:26:28.000Z | 2022-03-29T17:12:36.000Z | tests/__init__.py | dougppaz/pyaml_env | 09d3c43da39d5f997ac88b0b7e9945de797eca02 | [
"MIT"
] | 12 | 2021-04-28T11:43:15.000Z | 2022-03-03T17:48:17.000Z | tests/__init__.py | dougppaz/pyaml_env | 09d3c43da39d5f997ac88b0b7e9945de797eca02 | [
"MIT"
] | 10 | 2021-04-29T00:31:08.000Z | 2022-03-14T13:49:54.000Z | import os
import sys
sys.path.insert(0, (os.getcwd()))
| 11.2 | 33 | 0.696429 | import os
import sys
sys.path.insert(0, (os.getcwd()))
| true | true |
f72ea6730b4f2126d264157f36867ba7c80f59b1 | 8,491 | py | Python | test/functional/wallet_accounts.py | ALQO-GitHub-Official/new-chain | b993c07397f91860311e2f9e207cb84fdd3a3ffa | [
"MIT"
] | 110 | 2019-07-12T11:46:31.000Z | 2022-02-18T19:47:23.000Z | test/functional/wallet_accounts.py | ALQO-GitHub-Official/new-chain | b993c07397f91860311e2f9e207cb84fdd3a3ffa | [
"MIT"
] | 29 | 2018-10-23T21:28:56.000Z | 2021-02-10T14:42:59.000Z | test/functional/wallet_accounts.py | ALQO-GitHub-Official/new-chain | b993c07397f91860311e2f9e207cb84fdd3a3ffa | [
"MIT"
] | 55 | 2018-10-20T13:40:39.000Z | 2022-03-07T07:13:02.000Z | #!/usr/bin/env python3
# Copyright (c) 2016-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test account RPCs.
RPCs tested are:
- getaccountaddress
- getaddressesbyaccount
- listaddr... | 41.827586 | 83 | 0.668119 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import assert_equal
class WalletAccountsTest(BitcoinTestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 1
self.extra_args = [[]]
def run_test(self):
no... | true | true |
f72ea7749502804e63cabefce69af2c3762767e4 | 2,268 | py | Python | server/tests/test_patients.py | ishitakapoor26/Nutrihelp | 5bac42aaee61884f9ee7415caf441e80b7b03b48 | [
"MIT"
] | 22 | 2021-02-15T10:30:59.000Z | 2022-01-09T07:10:36.000Z | server/tests/test_patients.py | Ayonijakaushik19/Nutrihelp | 85926b187a6bfcf80f1f1cd60667ed3d14dce0be | [
"MIT"
] | 51 | 2021-02-27T15:42:15.000Z | 2022-03-01T15:02:03.000Z | server/tests/test_patients.py | Ayonijakaushik19/Nutrihelp | 85926b187a6bfcf80f1f1cd60667ed3d14dce0be | [
"MIT"
] | 25 | 2021-02-14T17:49:23.000Z | 2022-02-27T18:27:39.000Z | from bson.json_util import dumps
from ..app import app
from json import dumps as pretty
class glo:
patient_id = []
g = glo()
userid = ['1k33224', '60961d77a7090edb5b69c62c']
patient = {
'name': 'Abhishek shrivastava',
'age': 19,
'gender': 'M',
'mobile': '9022930339'
}
patient2 = {
'name': ... | 23.142857 | 64 | 0.53351 | from bson.json_util import dumps
from ..app import app
from json import dumps as pretty
class glo:
patient_id = []
g = glo()
userid = ['1k33224', '60961d77a7090edb5b69c62c']
patient = {
'name': 'Abhishek shrivastava',
'age': 19,
'gender': 'M',
'mobile': '9022930339'
}
patient2 = {
'name': ... | true | true |
f72ea7d8dd96b72bf999b8d29730d781aa003ace | 321 | py | Python | main/migrations/0002_remove_project_created_date.py | NancyWachiuri/AwardsApp | c4eb0a87ab528c2166d1bd27e3ec6302e7ef08df | [
"MIT"
] | null | null | null | main/migrations/0002_remove_project_created_date.py | NancyWachiuri/AwardsApp | c4eb0a87ab528c2166d1bd27e3ec6302e7ef08df | [
"MIT"
] | null | null | null | main/migrations/0002_remove_project_created_date.py | NancyWachiuri/AwardsApp | c4eb0a87ab528c2166d1bd27e3ec6302e7ef08df | [
"MIT"
] | null | null | null | # Generated by Django 3.2.8 on 2021-11-05 00:54
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('main', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='project',
name='created_date',
),
]... | 17.833333 | 47 | 0.582555 |
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('main', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='project',
name='created_date',
),
]
| true | true |
f72ea823aa4b99280f01169d6a40994760c8465e | 3,674 | py | Python | 18.Web Scraping with Python Scrapy - RM/03_Advanced_Techniques/news_scraper_challenge/news_scraper_challenge/middlewares.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 3 | 2020-06-01T04:17:18.000Z | 2020-12-18T03:05:55.000Z | 18.Web Scraping with Python Scrapy - RM/03_Advanced_Techniques/news_scraper_challenge/news_scraper_challenge/middlewares.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 1 | 2020-04-25T08:01:59.000Z | 2020-04-25T08:01:59.000Z | 18.Web Scraping with Python Scrapy - RM/03_Advanced_Techniques/news_scraper_challenge/news_scraper_challenge/middlewares.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 7 | 2020-04-26T10:02:36.000Z | 2021-06-08T05:12:46.000Z | # Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
class NewsScraperChallengeSpiderM... | 35.326923 | 78 | 0.676647 |
from scrapy import signals
from itemadapter import is_item, ItemAdapter
class NewsScraperChallengeSpiderMiddleware:
@classmethod
def from_crawler(cls, crawler):
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def pro... | true | true |
f72ea85064b2c2a6f54570529a6ce35ac41d67bd | 488 | py | Python | astronomy_datamodels/tests/test_subarray.py | spacetelescope/astronomy_datamodels | ca5db82d5982781ea763cef9851d4c982fd86328 | [
"BSD-3-Clause"
] | 1 | 2019-03-08T03:06:43.000Z | 2019-03-08T03:06:43.000Z | astronomy_datamodels/tests/test_subarray.py | spacetelescope/astronomy_datamodels | ca5db82d5982781ea763cef9851d4c982fd86328 | [
"BSD-3-Clause"
] | 1 | 2020-10-29T19:54:28.000Z | 2020-10-29T19:54:28.000Z | astronomy_datamodels/tests/test_subarray.py | spacetelescope/astronomy_datamodels | ca5db82d5982781ea763cef9851d4c982fd86328 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
import pytest
import numpy as np
asdf = pytest.importorskip('asdf', minversion='2.0.0.dev0')
from asdf import util
from asdf.tests import helpers
from ..subarray import Subarray
def test1(tmpdir, ret=False):
subarray = Subarr... | 28.705882 | 71 | 0.702869 |
import pytest
import numpy as np
asdf = pytest.importorskip('asdf', minversion='2.0.0.dev0')
from asdf import util
from asdf.tests import helpers
from ..subarray import Subarray
def test1(tmpdir, ret=False):
subarray = Subarray(offset=(100, 131), size=(256, 256), name='SA1')
tree = {'subarray': subarray}
... | true | true |
f72ea9c1cb6d29549be75d7beed55fe01e257814 | 707 | py | Python | tests/framework/RunFailures/failer.py | rinelson456/raven | 1114246136a2f72969e75b5e99a11b35500d4eef | [
"Apache-2.0"
] | 159 | 2017-03-24T21:07:06.000Z | 2022-03-20T13:44:40.000Z | tests/framework/RunFailures/failer.py | rinelson456/raven | 1114246136a2f72969e75b5e99a11b35500d4eef | [
"Apache-2.0"
] | 1,667 | 2017-03-27T14:41:22.000Z | 2022-03-31T19:50:06.000Z | tests/framework/RunFailures/failer.py | rinelson456/raven | 1114246136a2f72969e75b5e99a11b35500d4eef | [
"Apache-2.0"
] | 95 | 2017-03-24T21:05:03.000Z | 2022-03-08T17:30:22.000Z | # Copyright 2017 Battelle Energy Alliance, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 39.277778 | 74 | 0.746818 | def run(self,Input):
if self.x+self.y > 0:
raise IOError('Testing, testing, 1,2,3.')
self.ans = self.x+self.y
| true | true |
f72eaa3113edd3d25a929e626271bcff8fa160e6 | 1,162 | py | Python | ver-3/backup_ver3.py | Emmanuel-Temitope/backup-problem-solved | c5e10bc586c9fc449c6e13d08f9ad0d964105c67 | [
"MIT"
] | null | null | null | ver-3/backup_ver3.py | Emmanuel-Temitope/backup-problem-solved | c5e10bc586c9fc449c6e13d08f9ad0d964105c67 | [
"MIT"
] | null | null | null | ver-3/backup_ver3.py | Emmanuel-Temitope/backup-problem-solved | c5e10bc586c9fc449c6e13d08f9ad0d964105c67 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 9 18:52:56 2019
@author: Emmanuel-Temitope
"""
import os
import time
#location of directory
source = [r'source', '"Another source"']
#targer directory
target_dir = r'target'
if not os.path.exists(target_dir):
os.mkdir(target_dir)
today = target_dir + os.sep ... | 22.784314 | 63 | 0.654905 |
import os
import time
source = [r'source', '"Another source"']
target_dir = r'target'
if not os.path.exists(target_dir):
os.mkdir(target_dir)
today = target_dir + os.sep + time.strftime('%Y%m%d')
now = time.strftime('%H%M%S')
comment = input('Enter a comment --> ')
if len(comment) == 0:
target = today ... | true | true |
f72eaa8f5af2633482ecb8f03a085435a35f5fa3 | 4,852 | py | Python | archive/attention.py | emmettmeinzer/hmwgen | cd47733b5a34a6a3a9b56026eb5e73069e398033 | [
"MIT"
] | null | null | null | archive/attention.py | emmettmeinzer/hmwgen | cd47733b5a34a6a3a9b56026eb5e73069e398033 | [
"MIT"
] | null | null | null | archive/attention.py | emmettmeinzer/hmwgen | cd47733b5a34a6a3a9b56026eb5e73069e398033 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 5 22:53:44 2020
@author: Emmett
"""
import tensorflow as tf
import os
from tensorflow.python.keras.layers import Layer
from tensorflow.python.keras import backend as K
class AttentionLayer(Layer):
"""
This class implements Bahdanau attention (http... | 39.447154 | 102 | 0.543899 | import tensorflow as tf
import os
from tensorflow.python.keras.layers import Layer
from tensorflow.python.keras import backend as K
class AttentionLayer(Layer):
def __init__(self, **kwargs):
super(AttentionLayer, self).__init__(**kwargs)
def build(self, input_shape):
assert isins... | true | true |
f72eabe57eec9d5c6a19eec2a538f36cdca7eb4c | 637 | py | Python | src/cbapi/__init__.py | rlmaers/cbapi-python | 395763e609ba1338ff3c7540395a6f2804e94584 | [
"MIT"
] | 3 | 2019-01-23T19:11:33.000Z | 2022-02-25T02:06:51.000Z | src/cbapi/__init__.py | rlmaers/cbapi-python | 395763e609ba1338ff3c7540395a6f2804e94584 | [
"MIT"
] | null | null | null | src/cbapi/__init__.py | rlmaers/cbapi-python | 395763e609ba1338ff3c7540395a6f2804e94584 | [
"MIT"
] | 1 | 2022-02-25T02:06:52.000Z | 2022-02-25T02:06:52.000Z | from __future__ import absolute_import
import cbapi.six
__title__ = 'cbapi'
__author__ = 'Carbon Black Developer Network'
__license__ = 'MIT'
__copyright__ = 'Copyright 2018 Carbon Black'
__version__ = '1.3.6'
# New API as of cbapi 0.9.0
from cbapi.response.rest_api import CbEnterpriseResponseAPI, CbResponseAPI
from... | 31.85 | 80 | 0.821036 | from __future__ import absolute_import
import cbapi.six
__title__ = 'cbapi'
__author__ = 'Carbon Black Developer Network'
__license__ = 'MIT'
__copyright__ = 'Copyright 2018 Carbon Black'
__version__ = '1.3.6'
from cbapi.response.rest_api import CbEnterpriseResponseAPI, CbResponseAPI
from cbapi.protection.rest_api i... | true | true |
f72eac1b900c7f609802611bd21042c02362d0e3 | 16,499 | py | Python | telethon/client/users.py | polisitni1/DogeClickBot | ac57eaeefca2c6ab9e48458f9f928a6a421a162e | [
"MIT"
] | null | null | null | telethon/client/users.py | polisitni1/DogeClickBot | ac57eaeefca2c6ab9e48458f9f928a6a421a162e | [
"MIT"
] | null | null | null | telethon/client/users.py | polisitni1/DogeClickBot | ac57eaeefca2c6ab9e48458f9f928a6a421a162e | [
"MIT"
] | null | null | null | import asyncio
import itertools
import logging
import time
from .telegrambaseclient import TelegramBaseClient
from .. import errors, utils
from ..tl import TLObject, TLRequest, types, functions
__log__ = logging.getLogger(__name__)
_NOT_A_REQUEST = TypeError('You can only invoke requests, not types!')
class UserMet... | 41.042289 | 80 | 0.576217 | import asyncio
import itertools
import logging
import time
from .telegrambaseclient import TelegramBaseClient
from .. import errors, utils
from ..tl import TLObject, TLRequest, types, functions
__log__ = logging.getLogger(__name__)
_NOT_A_REQUEST = TypeError('You can only invoke requests, not types!')
class UserMet... | true | true |
f72ead7d4b9e3e317119cf83ac6cb3d4a19f18ec | 340 | py | Python | examples/resetting_errors.py | MK8J/dobot-python | 3ce4a2a5d6e9ae5ab6d42546eab0228419e82e8e | [
"MIT"
] | null | null | null | examples/resetting_errors.py | MK8J/dobot-python | 3ce4a2a5d6e9ae5ab6d42546eab0228419e82e8e | [
"MIT"
] | null | null | null | examples/resetting_errors.py | MK8J/dobot-python | 3ce4a2a5d6e9ae5ab6d42546eab0228419e82e8e | [
"MIT"
] | null | null | null | '''
A script to try and reset from a stage error
without having to turn off the dobot
'''
import sys
import os
sys.path.append(os.path.abspath('..'))
import connecting
#connect
bot = connecting.connect()
bot.reset_pose(1,45,45) # 0 is false, will try to automatically reset?
bot.clear_alarms_state()
bot.serial.close(... | 17 | 70 | 0.738235 | import sys
import os
sys.path.append(os.path.abspath('..'))
import connecting
bot = connecting.connect()
bot.reset_pose(1,45,45) bot.clear_alarms_state()
bot.serial.close()
| true | true |
f72eadfc88eda868eba4d4b77c1b8a758b724676 | 18,817 | py | Python | src/docker-images/job-exporter/test/test_collector.py | jinlmsft/Apulis-AI-Platform | 2cf1fbb50e08b477940f5f336b1b897a49608b72 | [
"MIT"
] | 38 | 2020-07-13T08:46:39.000Z | 2021-02-08T01:38:44.000Z | src/docker-images/job-exporter/test/test_collector.py | debbie-alaine/DLWorkspace | 2888042c0f9388f911bc74fe5ecd20ef3fabd715 | [
"MIT"
] | null | null | null | src/docker-images/job-exporter/test/test_collector.py | debbie-alaine/DLWorkspace | 2888042c0f9388f911bc74fe5ecd20ef3fabd715 | [
"MIT"
] | 20 | 2020-07-14T03:38:50.000Z | 2021-01-08T06:24:17.000Z | # Copyright (c) Microsoft Corporation
# All rights reserved.
#
# MIT License
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
# the rights to ... | 38.718107 | 128 | 0.634905 |
import os
import sys
import unittest
import datetime
import time
import logging
import base
sys.path.append(os.path.abspath("../src/"))
import collector
import nvidia
import docker_inspect
from collector import ContainerCollector
from collector import GpuCollector
logger = logging.getLogger(__name__)
class TestC... | true | true |
f72eae12827e90588b406e44397f79f94ffd2658 | 5,224 | py | Python | spacy/lemmatizer.py | gandersen101/spaCy | 109849bd311490f17a29b320cb032e43d153f36f | [
"MIT"
] | null | null | null | spacy/lemmatizer.py | gandersen101/spaCy | 109849bd311490f17a29b320cb032e43d153f36f | [
"MIT"
] | null | null | null | spacy/lemmatizer.py | gandersen101/spaCy | 109849bd311490f17a29b320cb032e43d153f36f | [
"MIT"
] | null | null | null | # coding: utf8
from __future__ import unicode_literals
from collections import OrderedDict
from .symbols import NOUN, VERB, ADJ, PUNCT, PROPN
from .errors import Errors
from .lookups import Lookups
from .parts_of_speech import NAMES as UPOS_NAMES
class Lemmatizer(object):
"""
The Lemmatizer supports simple ... | 37.049645 | 100 | 0.612749 | from __future__ import unicode_literals
from collections import OrderedDict
from .symbols import NOUN, VERB, ADJ, PUNCT, PROPN
from .errors import Errors
from .lookups import Lookups
from .parts_of_speech import NAMES as UPOS_NAMES
class Lemmatizer(object):
@classmethod
def load(cls, *args, **kwargs):
... | true | true |
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