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f70001f658d4dfaa72dd4f0d1b3176492f6658bb | 6,442 | py | Python | spider/openwrt.py | CNDB/CNDB | 2e3a41111f604cf2f4f22a7c9370bb3f753e3e88 | [
"BSD-3-Clause"
] | null | null | null | spider/openwrt.py | CNDB/CNDB | 2e3a41111f604cf2f4f22a7c9370bb3f753e3e88 | [
"BSD-3-Clause"
] | null | null | null | spider/openwrt.py | CNDB/CNDB | 2e3a41111f604cf2f4f22a7c9370bb3f753e3e88 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# #*** <License> ************************************************************#
# This module is part of the repository CNDB.
#
# This module is licensed under the terms of the BSD 3-Clause License
# <http://www.c-tanzer.at/license/bsd_3c.html>.
# #*** </License> ***************... | 34.449198 | 78 | 0.472369 |
on import Interface, Inet4, Inet6, unroutable
from spider.common import WLAN_Config
from spider.luci import Version_Mixin
class Status (Page_Tree, Version_Mixin) :
url = 'cgi-bin/luci/freifunk/status/status'
retries = 2
timeout = 10
html_charset = 'utf-8'
... | true | true |
f7000273e22d5a0f2d5b40c38a0ed8511d1b8995 | 2,250 | py | Python | utils/compare.py | adcrn/knest | a274dc9ddb642cc30f837e225f000bf33430eb43 | [
"BSD-3-Clause"
] | 8 | 2018-03-15T23:42:51.000Z | 2020-03-10T06:21:03.000Z | utils/compare.py | deekerno/knest | a274dc9ddb642cc30f837e225f000bf33430eb43 | [
"BSD-3-Clause"
] | 12 | 2018-03-15T19:11:02.000Z | 2018-10-30T10:02:45.000Z | utils/compare.py | adcrn/knest | a274dc9ddb642cc30f837e225f000bf33430eb43 | [
"BSD-3-Clause"
] | null | null | null | # UCF Senior Design 2017-18
# Group 38
from PIL import Image
import cv2
import imagehash
import math
import numpy as np
DIFF_THRES = 20
LIMIT = 2
RESIZE = 1000
def calc_hash(img):
"""
Calculate the wavelet hash of the image
img: (ndarray) image file
"""
# resize image if height > 1000
im... | 24.725275 | 78 | 0.646667 |
from PIL import Image
import cv2
import imagehash
import math
import numpy as np
DIFF_THRES = 20
LIMIT = 2
RESIZE = 1000
def calc_hash(img):
img = resize(img)
return imagehash.whash(Image.fromarray(img))
def compare(hash1, hash2):
return hash1 - hash2
def limit(img, std_hash, count):
... | true | true |
f70002926d1d600b4b068459c9dd40ebf3aef47d | 757 | py | Python | sdk/python/kfp/__main__.py | ConverJens/pipelines | a1d453af214ec9eebad73fb05845dd3499d60d00 | [
"Apache-2.0"
] | 6 | 2020-05-19T02:35:11.000Z | 2020-05-29T17:58:42.000Z | sdk/python/kfp/__main__.py | ConverJens/pipelines | a1d453af214ec9eebad73fb05845dd3499d60d00 | [
"Apache-2.0"
] | 1,932 | 2021-01-25T11:23:37.000Z | 2022-03-31T17:10:18.000Z | sdk/python/kfp/__main__.py | ConverJens/pipelines | a1d453af214ec9eebad73fb05845dd3499d60d00 | [
"Apache-2.0"
] | 11 | 2020-05-19T22:26:41.000Z | 2021-01-25T09:56:21.000Z | # 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 32.913043 | 74 | 0.749009 |
from .cli.cli import main
if __name__ == '__main__':
main()
| true | true |
f7000327daf9ff11a381ce6d5de401ff007d1323 | 1,094 | py | Python | TestProject/app/view/RoomItem.py | ChinSing00/ChatChat | 48654e2e125298c00a558449353e38d0cec06d03 | [
"MIT"
] | null | null | null | TestProject/app/view/RoomItem.py | ChinSing00/ChatChat | 48654e2e125298c00a558449353e38d0cec06d03 | [
"MIT"
] | null | null | null | TestProject/app/view/RoomItem.py | ChinSing00/ChatChat | 48654e2e125298c00a558449353e38d0cec06d03 | [
"MIT"
] | null | null | null | import time
from PyQt5 import QtGui, QtCore
from ui.room_item import Ui_Form
from PyQt5.QtWidgets import QWidget
class Room_Item(QWidget,Ui_Form):
def __init__(self,parent=None,room_data=None):
super(Room_Item,self).__init__(parent)
self.setupUi(self)
self.data = room_data
self.se... | 45.583333 | 138 | 0.659049 | import time
from PyQt5 import QtGui, QtCore
from ui.room_item import Ui_Form
from PyQt5.QtWidgets import QWidget
class Room_Item(QWidget,Ui_Form):
def __init__(self,parent=None,room_data=None):
super(Room_Item,self).__init__(parent)
self.setupUi(self)
self.data = room_data
self.se... | true | true |
f7000371f0315cd55c0b14b33e7e8e56697cfc2e | 10,498 | py | Python | src/winforms/toga_winforms/app.py | holg/toga | 9dd766e749c6cf29cdb1127c7637150381ac396d | [
"BSD-3-Clause"
] | 1 | 2020-07-16T00:46:24.000Z | 2020-07-16T00:46:24.000Z | src/winforms/toga_winforms/app.py | holg/toga | 9dd766e749c6cf29cdb1127c7637150381ac396d | [
"BSD-3-Clause"
] | null | null | null | src/winforms/toga_winforms/app.py | holg/toga | 9dd766e749c6cf29cdb1127c7637150381ac396d | [
"BSD-3-Clause"
] | null | null | null | import asyncio
import re
import sys
import traceback
import toga
from toga import Key
from .keys import toga_to_winforms_key
from .libs import Threading, WinForms, shcore, user32, win_version
from .libs.proactor import WinformsProactorEventLoop
from .window import Window
class MainWindow(Window):
def winforms_F... | 35.952055 | 101 | 0.597638 | import asyncio
import re
import sys
import traceback
import toga
from toga import Key
from .keys import toga_to_winforms_key
from .libs import Threading, WinForms, shcore, user32, win_version
from .libs.proactor import WinformsProactorEventLoop
from .window import Window
class MainWindow(Window):
def winforms_F... | true | true |
f7000456815408e3a0899443a0df077b039855c4 | 1,731 | py | Python | __init__.py | luoxiangyong/qgissprp | 4698462743e11eac486af4b60046b99ae2abc1b0 | [
"BSD-2-Clause"
] | null | null | null | __init__.py | luoxiangyong/qgissprp | 4698462743e11eac486af4b60046b99ae2abc1b0 | [
"BSD-2-Clause"
] | null | null | null | __init__.py | luoxiangyong/qgissprp | 4698462743e11eac486af4b60046b99ae2abc1b0 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/***************************************************************************
SimplePhotogrammetryRoutePlanner
A QGIS plugin
A imple photogrammetry route planner.
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
... | 46.783784 | 94 | 0.458117 |
__version__ = "0.4.0"
def classFactory(iface):
from .SimplePhotogrammetryRoutePlanner import SimplePhotogrammetryRoutePlanner
return SimplePhotogrammetryRoutePlanner(iface)
| true | true |
f70004a44b39e2f1be17fb0ebfe7da0897c5e85d | 671 | py | Python | eslearn/utils/lc_featureSelection_variance.py | dongmengshi/easylearn | df528aaa69c3cf61f5459a04671642eb49421dfb | [
"MIT"
] | 19 | 2020-02-29T06:00:18.000Z | 2022-01-24T01:30:14.000Z | eslearn/utils/lc_featureSelection_variance.py | dongmengshi/easylearn | df528aaa69c3cf61f5459a04671642eb49421dfb | [
"MIT"
] | 7 | 2020-04-02T03:05:21.000Z | 2020-11-11T11:45:05.000Z | eslearn/utils/lc_featureSelection_variance.py | dongmengshi/easylearn | df528aaa69c3cf61f5459a04671642eb49421dfb | [
"MIT"
] | 11 | 2020-03-03T03:02:15.000Z | 2020-11-11T14:09:55.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 24 14:38:20 2018
dimension reduction with VarianceThreshold using sklearn.
Feature selector that removes all low-variance features.
@author: lenovo
"""
from sklearn.feature_selection import VarianceThreshold
import numpy as np
#
np.random.seed(1)
X = np.random.randn(100, 1... | 23.964286 | 57 | 0.709389 |
from sklearn.feature_selection import VarianceThreshold
import numpy as np
np.random.seed(1)
X = np.random.randn(100, 10)
X = np.hstack([X, np.zeros([100, 5])])
def featureSelection_variance(X, thrd):
sel = VarianceThreshold(threshold=thrd)
X_selected = sel.fit_transform(X)
mask = sel.get_support()
... | true | true |
f70004bcd049386ad073e2d45bf8fe56d0639a36 | 3,382 | py | Python | mnist/my_multi_tune3.py | silent567/examples | e9de12549125ecd93a4924f6b8e2bbf66d7635d9 | [
"BSD-3-Clause"
] | null | null | null | mnist/my_multi_tune3.py | silent567/examples | e9de12549125ecd93a4924f6b8e2bbf66d7635d9 | [
"BSD-3-Clause"
] | null | null | null | mnist/my_multi_tune3.py | silent567/examples | e9de12549125ecd93a4924f6b8e2bbf66d7635d9 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
from my_multi_main3 import main
import numpy as np
import argparse
import time
parser = argparse.ArgumentParser(description='PyTorch MNIST Example')
parser.add_argument('--batch-size', type=int, default=64, metavar='N',
help='input batch size for training (defa... | 47.633803 | 106 | 0.642815 |
from my_multi_main3 import main
import numpy as np
import argparse
import time
parser = argparse.ArgumentParser(description='PyTorch MNIST Example')
parser.add_argument('--batch-size', type=int, default=64, metavar='N',
help='input batch size for training (default: 64)')
parser.add_argument('--t... | true | true |
f70004db8d93803fe1fd484a52ec6add2822ccb6 | 1,050 | py | Python | spiker/data/hdf5.py | duguyue100/spiker | 09437be393d7adf132f8ee2682e5b5b009c793a1 | [
"MIT"
] | 1 | 2021-01-13T10:46:44.000Z | 2021-01-13T10:46:44.000Z | spiker/data/hdf5.py | duguyue100/spiker | 09437be393d7adf132f8ee2682e5b5b009c793a1 | [
"MIT"
] | null | null | null | spiker/data/hdf5.py | duguyue100/spiker | 09437be393d7adf132f8ee2682e5b5b009c793a1 | [
"MIT"
] | null | null | null | """HDF5 related files.
This file contains a set of functions that related to read and write
HDF5 files.
Author: Yuhuang Hu
Email : duguyue100@gmail.com
"""
from __future__ import print_function, absolute_import
import h5py
from spiker import log
logger = log.get_logger("data-hdf5", log.DEBUG)
def init_hdf5(file_... | 22.826087 | 68 | 0.629524 | from __future__ import print_function, absolute_import
import h5py
from spiker import log
logger = log.get_logger("data-hdf5", log.DEBUG)
def init_hdf5(file_path, mode="w", cam_type="davis"):
if mode == "w":
dataset = h5py.File(file_path, mode=mode)
dataset.create_group("dvs")
dataset.c... | true | true |
f70006680091e477a9da34fc8c775b99d72def25 | 951 | py | Python | thirdparty/org/apache/arrow/flatbuf/FloatingPoint.py | mrocklin/pygdf | 2de9407427da9497ebdf8951a12857be0fab31bb | [
"Apache-2.0"
] | 5 | 2018-10-17T20:28:42.000Z | 2022-02-15T17:33:01.000Z | thirdparty/org/apache/arrow/flatbuf/FloatingPoint.py | mrocklin/pygdf | 2de9407427da9497ebdf8951a12857be0fab31bb | [
"Apache-2.0"
] | 19 | 2018-07-18T07:15:44.000Z | 2021-02-22T17:00:18.000Z | thirdparty/org/apache/arrow/flatbuf/FloatingPoint.py | mrocklin/pygdf | 2de9407427da9497ebdf8951a12857be0fab31bb | [
"Apache-2.0"
] | 2 | 2020-05-01T09:54:34.000Z | 2021-04-17T10:57:07.000Z | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: flatbuf
import flatbuffers
class FloatingPoint(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsFloatingPoint(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x ... | 30.677419 | 92 | 0.698212 |
import flatbuffers
class FloatingPoint(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsFloatingPoint(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = FloatingPoint()
x.Init(buf, n + offset)
return x
def Init(se... | true | true |
f70006c8c5153a3a1bb1f109dc563a53c20f0e43 | 162 | py | Python | .history/Classiles/scynced_lights_20210615191535.py | minefarmer/Coding101-OOP | d5655977559e3bd1acf6a4f185a6121cc3b05ce4 | [
"Unlicense"
] | null | null | null | .history/Classiles/scynced_lights_20210615191535.py | minefarmer/Coding101-OOP | d5655977559e3bd1acf6a4f185a6121cc3b05ce4 | [
"Unlicense"
] | null | null | null | .history/Classiles/scynced_lights_20210615191535.py | minefarmer/Coding101-OOP | d5655977559e3bd1acf6a4f185a6121cc3b05ce4 | [
"Unlicense"
] | null | null | null | """[Scynced Lights]
Class attributes are "shared"
Instance attributes are not shared.
"""
def sub(x, y):
f
class Light:
pass
a = Light()
b = Ligth()
| 10.125 | 35 | 0.62963 | def sub(x, y):
f
class Light:
pass
a = Light()
b = Ligth()
| true | true |
f70006d0df161d84dd7ec30a6d7506b5802d1f0c | 9,378 | py | Python | pyspider/libs/counter.py | willworks/pyspider | 9fc2ffa57324d1a42ef767289faa3a04f4d20f2e | [
"Apache-2.0"
] | 1 | 2015-11-08T07:33:31.000Z | 2015-11-08T07:33:31.000Z | pyspider/libs/counter.py | willworks/pyspider | 9fc2ffa57324d1a42ef767289faa3a04f4d20f2e | [
"Apache-2.0"
] | null | null | null | pyspider/libs/counter.py | willworks/pyspider | 9fc2ffa57324d1a42ef767289faa3a04f4d20f2e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8:
# Author: Binux<i@binux.me>
# http://binux.me
# Created on 2012-11-14 17:09:50
from __future__ import unicode_literals, division, absolute_import
import time
import logging
from collections import deque
try:
f... | 27.341108 | 92 | 0.579335 |
from __future__ import unicode_literals, division, absolute_import
import time
import logging
from collections import deque
try:
from UserDict import DictMixin
except ImportError:
from collections import Mapping as DictMixin
import six
from six import iteritems
from six.moves import cPickle
class Bas... | true | true |
f700088372c0eeaff049211c5fe92cdccb5fa804 | 6,706 | py | Python | src/transformers/models/vit/feature_extraction_vit.py | djroxx2000/transformers | 77770ec79883343d32051cfb6a04f64523cd8df1 | [
"Apache-2.0"
] | 723 | 2020-07-16T13:02:25.000Z | 2022-03-31T21:03:55.000Z | src/transformers/models/vit/feature_extraction_vit.py | 4nalog/transformers | 76cadb7943c8492ec481f4f3925e9e8793a32c9d | [
"Apache-2.0"
] | 170 | 2020-07-16T14:39:11.000Z | 2022-03-31T13:02:11.000Z | src/transformers/models/vit/feature_extraction_vit.py | 4nalog/transformers | 76cadb7943c8492ec481f4f3925e9e8793a32c9d | [
"Apache-2.0"
] | 131 | 2020-07-16T14:38:16.000Z | 2022-03-29T19:43:18.000Z | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. 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 r... | 45.310811 | 166 | 0.646287 |
from typing import List, Optional, Union
import numpy as np
from PIL import Image
from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...file_utils import TensorType
from ...image_utils import IMAGENET_STANDARD_MEAN, IMAGENET_STANDARD_STD, ImageFeatureExtractionMixin, is_t... | true | true |
f700096cbce5db1538215892bb1dcc76b6c37987 | 734 | py | Python | hier/project-euler/euler-067-hackerrank/euler067.py | EliahKagan/old-practice-snapshot | 1b53897eac6902f8d867c8f154ce2a489abb8133 | [
"0BSD"
] | null | null | null | hier/project-euler/euler-067-hackerrank/euler067.py | EliahKagan/old-practice-snapshot | 1b53897eac6902f8d867c8f154ce2a489abb8133 | [
"0BSD"
] | null | null | null | hier/project-euler/euler-067-hackerrank/euler067.py | EliahKagan/old-practice-snapshot | 1b53897eac6902f8d867c8f154ce2a489abb8133 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
UNKNOWN = -1
def read_val():
return int(input())
def read_row():
return list(map(int, input().split()))
def read_grid():
return [read_row() for _ in range(read_val())]
def make_blank_row(i):
return [UNKNOWN] * i
def make_blank_grid(n):
return [make_blank_row(i) for i in ... | 20.388889 | 75 | 0.564033 |
UNKNOWN = -1
def read_val():
return int(input())
def read_row():
return list(map(int, input().split()))
def read_grid():
return [read_row() for _ in range(read_val())]
def make_blank_row(i):
return [UNKNOWN] * i
def make_blank_grid(n):
return [make_blank_row(i) for i in range(1, n + 1)]
def ... | true | true |
f7000a85ea7a735edb59575f149fc6ff7ce4b461 | 1,866 | py | Python | tools/apps/find_blender.py | SeijiEmery/unity_tools | cb401e6979b95c081a2ab3f944fc6e4419ccfd0e | [
"MIT"
] | null | null | null | tools/apps/find_blender.py | SeijiEmery/unity_tools | cb401e6979b95c081a2ab3f944fc6e4419ccfd0e | [
"MIT"
] | null | null | null | tools/apps/find_blender.py | SeijiEmery/unity_tools | cb401e6979b95c081a2ab3f944fc6e4419ccfd0e | [
"MIT"
] | null | null | null | import platform
# print(platform.system())
operating_system = platform.system().lower()
if operating_system == 'darwin':
from .blender_utils_macos import get_installed_blender_versions
operating_system_name = 'macos'
elif operating_system == 'linux':
from .blender_utils_linux import get_installed_blender_... | 40.565217 | 132 | 0.681136 | import platform
operating_system = platform.system().lower()
if operating_system == 'darwin':
from .blender_utils_macos import get_installed_blender_versions
operating_system_name = 'macos'
elif operating_system == 'linux':
from .blender_utils_linux import get_installed_blender_versions
operating_sys... | true | true |
f7000b2945cb3703ec7fbc7ccf8cd64d39f12e81 | 8,196 | py | Python | codes/data/image_corruptor.py | neonbjb/DL-Art-School | a6f0f854b987ac724e258af8b042ea4459a571bc | [
"Apache-2.0"
] | 12 | 2020-12-13T12:45:03.000Z | 2022-03-29T09:58:15.000Z | codes/data/image_corruptor.py | neonbjb/DL-Art-School | a6f0f854b987ac724e258af8b042ea4459a571bc | [
"Apache-2.0"
] | 1 | 2020-12-31T01:12:45.000Z | 2021-03-31T11:43:52.000Z | codes/data/image_corruptor.py | neonbjb/DL-Art-School | a6f0f854b987ac724e258af8b042ea4459a571bc | [
"Apache-2.0"
] | 3 | 2020-12-14T06:04:04.000Z | 2020-12-26T19:11:41.000Z | import functools
import random
from math import cos, pi
import cv2
import kornia
import numpy as np
import torch
from kornia.augmentation import ColorJitter
from data.util import read_img
from PIL import Image
from io import BytesIO
# Get a rough visualization of the above distribution. (Y-axis is meaningless, just... | 39.028571 | 122 | 0.554173 | import functools
import random
from math import cos, pi
import cv2
import kornia
import numpy as np
import torch
from kornia.augmentation import ColorJitter
from data.util import read_img
from PIL import Image
from io import BytesIO
from utils.util import opt_get
def kornia_color_jitter_numpy(img, setting):
... | true | true |
f7000b6751e6ca87c8cdd1ca6b7921d866ec80c7 | 159 | py | Python | tests/basics/bytes_format_modulo.py | geowor01/micropython | 7fb13eeef4a85f21cae36f1d502bcc53880e1815 | [
"MIT"
] | 7 | 2019-10-18T13:41:39.000Z | 2022-03-15T17:27:57.000Z | tests/basics/bytes_format_modulo.py | geowor01/micropython | 7fb13eeef4a85f21cae36f1d502bcc53880e1815 | [
"MIT"
] | null | null | null | tests/basics/bytes_format_modulo.py | geowor01/micropython | 7fb13eeef4a85f21cae36f1d502bcc53880e1815 | [
"MIT"
] | 2 | 2020-06-23T09:10:15.000Z | 2020-12-22T06:42:14.000Z | # This test requires CPython3.5
print(b"%%" % ())
print(b"=%d=" % 1)
print(b"=%d=%d=" % (1, 2))
print(b"=%s=" % b"str")
print(b"=%r=" % b"str")
print("PASS") | 17.666667 | 31 | 0.503145 |
print(b"%%" % ())
print(b"=%d=" % 1)
print(b"=%d=%d=" % (1, 2))
print(b"=%s=" % b"str")
print(b"=%r=" % b"str")
print("PASS") | true | true |
f7000bbc055be36dc38b5ab214bad87b6d24f064 | 2,102 | py | Python | tests/test_JpegCompression.py | tt195361/TfDataAugmentation | 0deb987ae5a37816d88eec302bc42db7479ea8df | [
"MIT"
] | null | null | null | tests/test_JpegCompression.py | tt195361/TfDataAugmentation | 0deb987ae5a37816d88eec302bc42db7479ea8df | [
"MIT"
] | null | null | null | tests/test_JpegCompression.py | tt195361/TfDataAugmentation | 0deb987ae5a37816d88eec302bc42db7479ea8df | [
"MIT"
] | null | null | null | #
# test_JpegCompression.py
#
import pytest
import albumentations as A
from .context import TfDataAugmentation as Tfda
from . import test_utils
from .test_utils import TestResult
@pytest.mark.parametrize(
"quality_lower, quality_upper, expected, message", [
# quality_lower
(-1, 100, TestResult.Er... | 28.794521 | 60 | 0.621313 |
import pytest
import albumentations as A
from .context import TfDataAugmentation as Tfda
from . import test_utils
from .test_utils import TestResult
@pytest.mark.parametrize(
"quality_lower, quality_upper, expected, message", [
(-1, 100, TestResult.Error,
"quality_lower < min => Erro... | true | true |
f7000bc963cc817a5a5dca6aba86f5ea6dde667e | 3,008 | py | Python | tests/test_background_swap.py | pclucas14/continuum | 3b9b0fc3c2f21dcaeafbccfa29987cefe55f37a0 | [
"MIT"
] | 4 | 2020-04-15T14:31:42.000Z | 2020-04-24T17:07:34.000Z | tests/test_background_swap.py | pclucas14/continuum | 3b9b0fc3c2f21dcaeafbccfa29987cefe55f37a0 | [
"MIT"
] | 18 | 2020-04-15T14:57:27.000Z | 2020-05-02T14:05:36.000Z | tests/test_background_swap.py | arthurdouillard/continual_loader | 09034db1371e9646ca660fd4d4df73e61bf77067 | [
"MIT"
] | 1 | 2020-04-15T15:50:28.000Z | 2020-04-15T15:50:28.000Z | import os
from torch.utils.data import DataLoader
from continuum.datasets import CIFAR10, InMemoryDataset
from continuum.datasets import MNIST
import torchvision
from continuum.scenarios import TransformationIncremental
import pytest
import numpy as np
from continuum.transforms.bg_swap import BackgroundSwap
DATA_PAT... | 31.010309 | 115 | 0.657247 | import os
from torch.utils.data import DataLoader
from continuum.datasets import CIFAR10, InMemoryDataset
from continuum.datasets import MNIST
import torchvision
from continuum.scenarios import TransformationIncremental
import pytest
import numpy as np
from continuum.transforms.bg_swap import BackgroundSwap
DATA_PAT... | true | true |
f7000c3468a0624d54db99fbbde0ac002173b532 | 2,025 | py | Python | python/communitymanager/lib/const.py | OpenCIOC/communityrepo | 63199a7b620f5c08624e534faf771e5dd2243adb | [
"Apache-2.0"
] | 2 | 2016-01-25T14:40:44.000Z | 2018-01-31T04:30:23.000Z | python/communitymanager/lib/const.py | OpenCIOC/communityrepo | 63199a7b620f5c08624e534faf771e5dd2243adb | [
"Apache-2.0"
] | 5 | 2018-02-07T20:16:49.000Z | 2021-12-13T19:41:43.000Z | python/communitymanager/lib/const.py | OpenCIOC/communityrepo | 63199a7b620f5c08624e534faf771e5dd2243adb | [
"Apache-2.0"
] | 1 | 2018-02-07T20:37:52.000Z | 2018-02-07T20:37:52.000Z | # =========================================================================================
# Copyright 2015 Community Information Online Consortium (CIOC) and KCL Software Solutions
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.... | 32.142857 | 95 | 0.640494 |
import os
JQUERY_VERSION = "1.6.2"
JQUERY_UI_VERSION = "1.8.16"
DATE_TEXT_SIZE = 25
TEXT_SIZE = 85
TEXTAREA_COLS = 85
TEXTAREA_ROWS_SHORT = 2
TEXTAREA_ROWS_LONG = 4
TEXTAREA_ROWS_XLONG = 10
MAX_LENGTH_CHECKLIST_NOTES = 255
EMAIL_LENGTH = 60
_app_path = None
_config_file = None
_app_name = None
s... | true | true |
f7000d37df1b082b8f943334e45282014877347e | 3,280 | py | Python | sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2015_08_01/aio/_configuration.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2015_08_01/aio/_configuration.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2015_08_01/aio/_configuration.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 48.235294 | 134 | 0.699695 |
from typing import Any, TYPE_CHECKING
from azure.core.configuration import Configuration
from azure.core.pipeline import policies
from azure.mgmt.core.policies import ARMHttpLoggingPolicy
from .._version import VERSION
if TYPE_CHECKING:
from azure.core.credentials_async import AsyncTokenCredential
... | true | true |
f7000e80dc69165127d93dc9b2a8e5454d07d8ca | 852 | py | Python | spongeauth/core/tests/test_x_real_ip_middleware.py | felixoi/SpongeAuth | d44ee52d0b35b2e1909c7bf6bad29aa7b4835b26 | [
"MIT"
] | 10 | 2016-11-18T12:37:24.000Z | 2022-03-04T09:25:25.000Z | spongeauth/core/tests/test_x_real_ip_middleware.py | felixoi/SpongeAuth | d44ee52d0b35b2e1909c7bf6bad29aa7b4835b26 | [
"MIT"
] | 794 | 2016-11-19T18:34:37.000Z | 2022-03-31T16:49:11.000Z | spongeauth/core/tests/test_x_real_ip_middleware.py | PowerNukkit/OreAuth | 96a2926c9601fce6fac471bdb997077f07e8bf9a | [
"MIT"
] | 11 | 2016-11-26T22:30:17.000Z | 2022-03-16T17:20:14.000Z | import django.http
import unittest.mock
from .. import middleware
def get_response(req):
# dummy get_response, just return an empty response
return django.http.HttpResponse()
def test_leaves_remote_addr_alone_if_no_real_ip():
remote_addr = object()
request = unittest.mock.MagicMock()
request.M... | 25.058824 | 76 | 0.75 | import django.http
import unittest.mock
from .. import middleware
def get_response(req):
return django.http.HttpResponse()
def test_leaves_remote_addr_alone_if_no_real_ip():
remote_addr = object()
request = unittest.mock.MagicMock()
request.META = {"REMOTE_ADDR": remote_addr}
middleware.... | true | true |
f7000f03c62e8b3dcc7083fb8b218b5a6f499aa8 | 198 | py | Python | test-relay.py | rn-santos227/medsys | d72ef3b419bdb84cc21022af7ce43813090ef211 | [
"MIT"
] | null | null | null | test-relay.py | rn-santos227/medsys | d72ef3b419bdb84cc21022af7ce43813090ef211 | [
"MIT"
] | null | null | null | test-relay.py | rn-santos227/medsys | d72ef3b419bdb84cc21022af7ce43813090ef211 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import time
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(21, GPIO.OUT)
GPIO.output(21, GPIO.LOW)
time.sleep(3.00)
GPIO.output(21, GPIO.HIGH)
GPIO.cleanup()
| 11.647059 | 26 | 0.717172 |
import time
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(21, GPIO.OUT)
GPIO.output(21, GPIO.LOW)
time.sleep(3.00)
GPIO.output(21, GPIO.HIGH)
GPIO.cleanup()
| true | true |
f7000f942ae83e6e025768748f579184365a76d4 | 305 | py | Python | server/objects/notifier.py | jaxsenh/the-devil-that-lurks | 89fa85c461a8da55a0b7d28e32dd8144d6cac8ca | [
"MIT"
] | 1 | 2020-05-28T03:21:44.000Z | 2020-05-28T03:21:44.000Z | server/objects/notifier.py | jaxsenh/the-devil-that-lurks | 89fa85c461a8da55a0b7d28e32dd8144d6cac8ca | [
"MIT"
] | null | null | null | server/objects/notifier.py | jaxsenh/the-devil-that-lurks | 89fa85c461a8da55a0b7d28e32dd8144d6cac8ca | [
"MIT"
] | null | null | null | from direct.directnotify.DirectNotifyGlobal import directNotify
class Notifier:
def __init__(self, name):
"""
@param name: The name of the notifier. Be sure to add it to your config/Config.prc!
@type name: str
"""
self.notify = directNotify.newCategory(name)
| 27.727273 | 91 | 0.659016 | from direct.directnotify.DirectNotifyGlobal import directNotify
class Notifier:
def __init__(self, name):
self.notify = directNotify.newCategory(name)
| true | true |
f70011c6182da69473e565cf0d8aee9ee61da27a | 221 | py | Python | packaging/squarer/ml_squarer.py | g-nightingale/tox_examples | d7714375c764580b4b8af9db61332ced4e851def | [
"BSD-3-Clause"
] | 10 | 2020-05-23T15:40:43.000Z | 2022-02-06T22:34:10.000Z | packaging/squarer/ml_squarer.py | g-nightingale/tox_examples | d7714375c764580b4b8af9db61332ced4e851def | [
"BSD-3-Clause"
] | null | null | null | packaging/squarer/ml_squarer.py | g-nightingale/tox_examples | d7714375c764580b4b8af9db61332ced4e851def | [
"BSD-3-Clause"
] | 12 | 2020-08-04T11:37:56.000Z | 2022-03-31T23:21:13.000Z | import numpy as np
def train_ml_squarer() -> None:
print("Training!")
def square() -> int:
"""Square a number...maybe"""
return np.random.randint(1, 100)
if __name__ == '__main__':
train_ml_squarer() | 15.785714 | 36 | 0.633484 | import numpy as np
def train_ml_squarer() -> None:
print("Training!")
def square() -> int:
return np.random.randint(1, 100)
if __name__ == '__main__':
train_ml_squarer() | true | true |
f70012b80af6d540ea4880f63579ca63dcbdd2f2 | 6,034 | py | Python | arcade/examples/platform_tutorial/09_load_map.py | yegarti/arcade | 1862e61aab9a7dc646265005b0e808d953a9dfe3 | [
"MIT"
] | null | null | null | arcade/examples/platform_tutorial/09_load_map.py | yegarti/arcade | 1862e61aab9a7dc646265005b0e808d953a9dfe3 | [
"MIT"
] | null | null | null | arcade/examples/platform_tutorial/09_load_map.py | yegarti/arcade | 1862e61aab9a7dc646265005b0e808d953a9dfe3 | [
"MIT"
] | null | null | null | """
Platformer Game
"""
import arcade
# Constants
SCREEN_WIDTH = 1000
SCREEN_HEIGHT = 650
SCREEN_TITLE = "Platformer"
# Constants used to scale our sprites from their original size
CHARACTER_SCALING = 1
TILE_SCALING = 0.5
COIN_SCALING = 0.5
SPRITE_PIXEL_SIZE = 128
GRID_PIXEL_SIZE = SPRITE_PIXEL_SIZE * TILE_SCALING
#... | 30.474747 | 106 | 0.632748 | import arcade
SCREEN_WIDTH = 1000
SCREEN_HEIGHT = 650
SCREEN_TITLE = "Platformer"
CHARACTER_SCALING = 1
TILE_SCALING = 0.5
COIN_SCALING = 0.5
SPRITE_PIXEL_SIZE = 128
GRID_PIXEL_SIZE = SPRITE_PIXEL_SIZE * TILE_SCALING
PLAYER_MOVEMENT_SPEED = 10
GRAVITY = 1
PLAYER_JUMP_SPEED = 20
class MyGame(arcade.Window):
... | true | true |
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