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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9b3a30a350d4766ec5248befbf7cb18770423342 | 10,867 | py | Python | molsysmt/forms/viewers/api_nglview_NGLWidget.py | uibcdf/MolSysMT | 9866a6fb090df9fff36af113a45164da4b674c09 | [
"MIT"
] | 3 | 2020-06-02T03:55:52.000Z | 2022-03-21T04:43:52.000Z | molsysmt/forms/viewers/api_nglview_NGLWidget.py | uibcdf/MolSysMT | 9866a6fb090df9fff36af113a45164da4b674c09 | [
"MIT"
] | 28 | 2020-06-24T00:55:53.000Z | 2021-07-16T22:09:19.000Z | molsysmt/forms/viewers/api_nglview_NGLWidget.py | uibcdf/MolSysMT | 9866a6fb090df9fff36af113a45164da4b674c09 | [
"MIT"
] | 1 | 2021-06-17T18:55:25.000Z | 2021-06-17T18:55:25.000Z | from molsysmt._private_tools.exceptions import *
from molsysmt.forms.common_gets import *
import numpy as np
from nglview import widget as _nglview_widget
import importlib
import sys
from molsysmt.molecular_system import molecular_system_components
form_name='nglview.NGLWidget'
is_form = {
_nglview_widget.NGLWidget: form_name
}
info=["NGLView visualization native object","http://nglviewer.org/nglview/latest/_modules/nglview/widget.html"]
has = molecular_system_components.copy()
for ii in ['elements', 'coordinates', 'box']:
has[ii]=True
###### Get
## Atom
## group
## component
## molecule
## chain
## entity
## system
## bond
###### Set
| 33.334356 | 164 | 0.767829 |
9b3e5ba25f6539f2d54fc3ee309eb76f77501061 | 1,435 | py | Python | editor/plugins/example_app_keys.py | albertvisser/hotkeys | 73b2b10af326a37e4ae01294f44cd855ccb3ab99 | [
"MIT"
] | 1 | 2019-11-03T08:28:59.000Z | 2019-11-03T08:28:59.000Z | editor/plugins/example_app_keys.py | albertvisser/hotkeys | 73b2b10af326a37e4ae01294f44cd855ccb3ab99 | [
"MIT"
] | null | null | null | editor/plugins/example_app_keys.py | albertvisser/hotkeys | 73b2b10af326a37e4ae01294f44cd855ccb3ab99 | [
"MIT"
] | null | null | null | """Hotkeys plugin example
this module contains the general, non gui-toolkit specific part of the code
"""
# uncomment these where appropriate
# import collections
# from example_app_keys_gui import layout_extra_fields_* # om dit beschikbaar te maken voor import
# uncomment this to define a routine to (re)build the csv file from source data
# showinfo is a switch for in case you want to show instructions
# otherstuff can be used to pass on things like a list of possible commands
# to method add_extra_attributes
# ** corresponds to the RebuildCSV setting **
# def buildcsv(parent, showinfo=True):
# shortcuts = collections.defaultdict()
# otherstuff = {}
# ...implement some logic here...
# return shortcuts, otherstuff
# uncomment these to define routines to be used by methods of a HotKeyPanel instance
# ** corresponds to the ShowDetails setting **
# win is a reference to the HotKeyPanel instance
# def add_extra_attributes(win):
# """add attributes specific to this plugin
# e.g a shorter name for a collection read from buildcsv's otherstuff
# some of these are needed when filling fields in the details part of the screen
# """
# win.contextslist = win.otherstuff['...']
# win.commandslist = win.otherstuff['...']
# uncomment this to define a routine to write back the keydefs to the source data
# ** corresponds to the RedefineKeys setting **
# def savekeys(parent):
# pass
| 41 | 99 | 0.738676 |
9b40ad333c949a389ee209ebc469efbe2a1da3d3 | 8,525 | py | Python | electrumx/lib/script.py | Electrum-RVN-SIG/electrumx-ravencoin | 6b888a9246257037c95cdaffcce3386181050398 | [
"MIT"
] | 11 | 2021-04-03T21:29:44.000Z | 2022-03-28T09:37:34.000Z | electrumx/lib/script.py | Electrum-RVN-SIG/electrumx-ravencoin | 6b888a9246257037c95cdaffcce3386181050398 | [
"MIT"
] | 4 | 2021-05-14T13:10:01.000Z | 2021-12-03T15:12:23.000Z | electrumx/lib/script.py | Electrum-RVN-SIG/electrumx-ravencoin | 6b888a9246257037c95cdaffcce3386181050398 | [
"MIT"
] | 4 | 2021-04-05T22:07:06.000Z | 2021-09-23T08:04:48.000Z | # Copyright (c) 2016-2017, Neil Booth
#
# All rights reserved.
#
# The MIT License (MIT)
#
# 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, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
# and warranty status of this software.
'''Script-related classes and functions.'''
import struct
from enum import IntEnum
from electrumx.lib.util import unpack_le_uint16_from, unpack_le_uint32_from, \
pack_le_uint16, pack_le_uint32
# Paranoia to make it hard to create bad scripts
assert OpCodes.OP_DUP == 0x76
assert OpCodes.OP_HASH160 == 0xa9
assert OpCodes.OP_EQUAL == 0x87
assert OpCodes.OP_EQUALVERIFY == 0x88
assert OpCodes.OP_CHECKSIG == 0xac
assert OpCodes.OP_CHECKMULTISIG == 0xae
| 26.892744 | 110 | 0.598827 |
9b4525dbfb8005b0d75af097477692fce19cafdb | 3,854 | py | Python | main.py | poplock1/Number_guesser | 2766d73e0f1babc980865de8fabe2f37d9ee43a6 | [
"MIT"
] | null | null | null | main.py | poplock1/Number_guesser | 2766d73e0f1babc980865de8fabe2f37d9ee43a6 | [
"MIT"
] | null | null | null | main.py | poplock1/Number_guesser | 2766d73e0f1babc980865de8fabe2f37d9ee43a6 | [
"MIT"
] | null | null | null | import pygame
import tensorflow as tf
import sys
import settings as stg
import matplotlib.pyplot as plt
from board import Grid
import gui
import numpy as np
game = Game()
while game.running:
game.new_guess()
pygame.quit()
| 31.590164 | 123 | 0.577582 |
9b454cd03eb2a08f7263b1381a0130bff6f74d66 | 825 | py | Python | examples/maskrcnn_fastai.py | ramaneswaran/mantisshrimp | d30c056f1f9f26a2ce42da73cfb32d591321f426 | [
"Apache-2.0"
] | null | null | null | examples/maskrcnn_fastai.py | ramaneswaran/mantisshrimp | d30c056f1f9f26a2ce42da73cfb32d591321f426 | [
"Apache-2.0"
] | 8 | 2020-06-16T18:06:42.000Z | 2020-09-15T22:35:56.000Z | examples/maskrcnn_fastai.py | ramaneswaran/mantisshrimp | d30c056f1f9f26a2ce42da73cfb32d591321f426 | [
"Apache-2.0"
] | null | null | null | from mantisshrimp import *
from mantisshrimp.hub.pennfundan import *
from mantisshrimp.engines.fastai import *
import albumentations as A
source = get_pennfundan_data()
parser = PennFundanParser(source)
splitter = RandomSplitter([0.8, 0.2])
train_records, valid_records = parser.parse(splitter)
train_transforms = AlbuTransform([A.Flip()])
train_dataset = Dataset(train_records, train_records)
valid_dataset = Dataset(valid_records)
model = MantisMaskRCNN(num_classes=2)
metric = COCOMetric(valid_records, bbox=True, mask=True)
train_dataloader = model.dataloader(train_dataset, batch_size=2, num_workers=2)
valid_dataloader = model.dataloader(valid_dataset, batch_size=2, num_workers=2)
learn = rcnn_learner(
dls=[train_dataloader, valid_dataloader], model=model, metrics=[metric]
)
learn.fine_tune(3, lr=2e-4)
| 28.448276 | 79 | 0.796364 |
9b465713a6d45355da79d52e919ae9d389a96675 | 10,649 | py | Python | setup.py | mdavezac/bempp | bc573062405bda107d1514e40b6153a8350d5ab5 | [
"BSL-1.0"
] | null | null | null | setup.py | mdavezac/bempp | bc573062405bda107d1514e40b6153a8350d5ab5 | [
"BSL-1.0"
] | null | null | null | setup.py | mdavezac/bempp | bc573062405bda107d1514e40b6153a8350d5ab5 | [
"BSL-1.0"
] | null | null | null | from os.path import basename, dirname, join, abspath
from setuptools import setup, Extension
from distutils.command.build import build as dBuild
from setuptools.command.install import install as dInstall
from setuptools.command.build_ext import build_ext as dBuildExt
from setuptools.command.bdist_egg import bdist_egg as dBuildDistEgg
from setuptools.command.sdist import sdist as dSDist
from setuptools.command.egg_info import egg_info as dEggInfo
from distutils.dir_util import mkpath
source_dir = dirname(abspath(__file__))
package_dir = join(source_dir, 'pkg_install')
mkpath(package_dir)
def as_preload_file(name, info):
""" Python information to cmake commandline """
result = []
if len(info.get('libraries', [])):
libs = ('-l' + '-l'.join(info['libraries'])).rstrip().lstrip()
if len(info.get('library_dirs', [])):
libdirs = ('-L' + '-L'.join(info['library_dirs'])).rstrip().lstrip()
else: libdirs = ""
result.append(cmake_cache_line("%s_LIBRARIES" % name,
"%s %s" %(libdirs, libs)))
if len(info.get('include_dirs', [])):
incs = ';'.join(info['include_dirs']).rstrip().lstrip()
result.append(cmake_cache_line("%s_INCLUDE_DIRS" % name, incs))
return result
def cmake_executable():
""" Path to cmake executable """
from os.path import exists
from os import environ
from distutils.spawn import find_executable
cmake = find_executable('cmake')
if cmake is None and 'CASAPATH' in environ:
# Tries to out-smart CASA.
# Look places cmake might be that casa removes from path.
directories = [
join('/', 'usr', 'local', 'bin'),
join(environ['HOME'], 'bin'),
join(environ['HOME'], '.local', 'bin'),
join(environ['HOME'], 'usr', 'bin'),
join('/', 'sw', 'bin') # -- default Fink location
]
for directory in directories:
if exists(join(directory, 'cmake')):
cmake = join(directory, 'cmake')
break
if cmake is None:
raise RuntimeError('Could not find cmake executable in path')
return cmake
setup(
name = "bempp",
version = "2.0",
setup_requires = ['numpy', 'pytest'],
install_requires = ['numpy', 'pytest'],
platforms = ['GNU/Linux','Unix','Mac OS-X'],
zip_safe = False,
cmdclass = {
'build': Build, 'install': Install,
'build_ext': BuildExt, 'bdist_egg': BuildDistEgg,
'egg_info': EggInfo
},
author = "Tim Betcke",
author_email = "t.betcke@ucl.ac.uk",
description = "BEMP does what it does well",
license = "MIT",
url = "https://github.com/bempp/bempp",
ext_modules = [Extension('bempp._core', [])],
ext_package = 'bempp',
packages = ['bempp', 'PyTrilinos'],
package_dir = {
'bempp': join(basename(package_dir), 'bempp'),
'PyTrilinos': join(basename(package_dir), 'PyTrilinos'),
},
include_package_data=True,
keywords= "mathology",
classifiers = [
'Development Status :: 0 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
],
long_description = open(join(dirname(__file__), 'README'), 'r').read()
)
| 35.855219 | 88 | 0.596676 |
9b465aec5248b4a295d099e00bd63dbcb0fdd474 | 677 | py | Python | config/__init__.py | CSuppan/two-shot-brdf-shape | 352201b66bfa5cd5e25111451a6583a3e7d499f0 | [
"BSD-Source-Code"
] | null | null | null | config/__init__.py | CSuppan/two-shot-brdf-shape | 352201b66bfa5cd5e25111451a6583a3e7d499f0 | [
"BSD-Source-Code"
] | null | null | null | config/__init__.py | CSuppan/two-shot-brdf-shape | 352201b66bfa5cd5e25111451a6583a3e7d499f0 | [
"BSD-Source-Code"
] | null | null | null | # -----------------------------------------------------------------------
# Copyright (c) 2020, NVIDIA Corporation. All rights reserved.
#
# This work is made available
# under the Nvidia Source Code License (1-way Commercial).
#
# Official Implementation of the CVPR2020 Paper
# Two-shot Spatially-varying BRDF and Shape Estimation
# Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz
# -----------------------------------------------------------------------
import json
import os
| 28.208333 | 73 | 0.567208 |
9b4985b49cd879340b47fb541710318c2bb259dc | 26,765 | py | Python | demo/rrteAutoLog.py | CharlesWangYu/guitest | 785f234321143a4a3f4afe92376dc4f138489b31 | [
"BSD-3-Clause"
] | null | null | null | demo/rrteAutoLog.py | CharlesWangYu/guitest | 785f234321143a4a3f4afe92376dc4f138489b31 | [
"BSD-3-Clause"
] | null | null | null | demo/rrteAutoLog.py | CharlesWangYu/guitest | 785f234321143a4a3f4afe92376dc4f138489b31 | [
"BSD-3-Clause"
] | null | null | null | import pdb
import logging
import os
import sys
import time
import subprocess
import xlrd
import win32gui
import win32api
import win32con
#import comtypes
from configparser import ConfigParser
from comtypes.client import *
from ctypes import *
class RRTE:
DELAY_RRET_START = 8
DELAY_WAIT_DLG = 3
NAME_RRTE_APP = 'Reference Run-time Environment'
NAME_TRACE_LEVEL = 'Microsoft.Windows.Controls.Ribbon.RibbonGallery Items.Count:1'
NAME_BROWSER_MODEL = 'Fdi.Client.Catalog.DeviceCatalogBrowserModel'
NAME_TOP_TAB = 'Fdi.Client.DeviceUi.ViewModel.DeviceUiHostContainerItemViewModel'
NAME_X_BTN = 'X'
NAME_ONLINE_PARAMS = 'OnlineParameters'
NAME_OFFLINE_TAB = 'Offline root menu'
NAME_ONLINE_TAB = 'Online'
NAME_DEVICE_ROOT_MENU = 'Device root menu'
NAME_DIAGNOSTIC_ROOT_MENU = 'Diagnostic root menu'
NAME_MAINT_ROOT_MENU = 'Maintenance root menu'
NAME_PROCESS_ROOT_MENU = 'Process variables root menu'
NAME_HEALTH_TAB = 'Health'
NAME_TREE_ROOT = 'DD_ExplorerView'
NAME_APPLY_BTN = 'Apply'
NAME_REVERT_BTN = 'Revert'
def close(self):
'''
titleBar = UIA.findFirstElem(self.RRTERoot, UIA.Client.UIA_TitleBarControlTypeId, UIA.Client.UIA_ControlTypePropertyId, scope=UIA.Client.TreeScope_Children)
pdb.set_trace()
assert UIA.isUIAElem(titleBar)
closeBtn = UIA.findFirstElem(titleBar, 'Close', UIA.Client.UIA_AutomationIdPropertyId, scope=UIA.Client.TreeScope_Children)
assert UIA.isUIAElem(closeBtn)
UIA.pushButton(closeBtn)
'''
hwnd = win32gui.FindWindow(None, RRTE.NAME_RRTE_APP)
win32gui.SetForegroundWindow(hwnd)
win32api.keybd_event(win32con.VK_MENU, 0, 0, 0)
win32api.keybd_event(win32con.VK_F4, 0, 0, 0)
win32api.keybd_event(win32con.VK_F4, 0, win32con.KEYEVENTF_KEYUP, 0)
win32api.keybd_event(win32con.VK_MENU, 0, win32con.KEYEVENTF_KEYUP, 0)
time.sleep(4)
#self.provider.terminate()
#time.sleep(4)
logging.info('Close RRTE')
class TreeNode:
def __init__(self, elem, parent=None, left=None, right=None):
self.elem = elem
self.parent = parent # It's logic parent node in tree, not in binary tree
self.left = left
self.right = right
# RRTE element class
if __name__ == '__main__':
#pdb.set_trace()
logging.basicConfig(level = logging.INFO)
# get hart register log from RRTE
rrte = RRTE()
rrte.clearOutput()
rrte.start()
rrte.createNodeTree(rrte.tree.root.left)
#pdb.set_trace()
rrte.closeMenu()
#rrte.close()
rrte.clearRegistLog()
rrte.traversal(rrte.tree.root.left)
#rrte.close()
| 37.173611 | 256 | 0.74986 |
9b49b82dae00206e28c1ae751fd26cec3f45c20f | 1,052 | py | Python | eregs_core/migrations/0006_analysisparagraph_analysissection_footnote.py | cfpb/eregs-2.0 | 820bd56fa5265ee25f88fe8dce4c7aa092e5d6a3 | [
"CC0-1.0"
] | 1 | 2019-02-25T21:43:36.000Z | 2019-02-25T21:43:36.000Z | eregs_core/migrations/0006_analysisparagraph_analysissection_footnote.py | cfpb/eregs-2.0 | 820bd56fa5265ee25f88fe8dce4c7aa092e5d6a3 | [
"CC0-1.0"
] | 46 | 2017-03-16T21:58:49.000Z | 2017-09-05T16:21:29.000Z | eregs_core/migrations/0006_analysisparagraph_analysissection_footnote.py | cfpb/eregs-2.0 | 820bd56fa5265ee25f88fe8dce4c7aa092e5d6a3 | [
"CC0-1.0"
] | 7 | 2017-06-07T14:56:46.000Z | 2021-02-20T10:50:48.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-03 17:48
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 23.909091 | 95 | 0.497148 |
9b4a434127e56ce9f10a860ea190256cba7c7ff6 | 2,592 | py | Python | project-euler/261/euler_261_v3.py | zoffixznet/project-euler | 39921379385ae2521354c7266a541c46785e85a2 | [
"MIT"
] | null | null | null | project-euler/261/euler_261_v3.py | zoffixznet/project-euler | 39921379385ae2521354c7266a541c46785e85a2 | [
"MIT"
] | null | null | null | project-euler/261/euler_261_v3.py | zoffixznet/project-euler | 39921379385ae2521354c7266a541c46785e85a2 | [
"MIT"
] | null | null | null | # The Expat License
#
# Copyright (c) 2017, Shlomi Fish
#
# 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, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import sys
if sys.version_info > (3,):
long = int
xrange = range
LIM = 10000000000
if __name__ == "__main__":
main()
| 28.483516 | 79 | 0.531636 |
9b4addb7383ad54fbd74f3fafd29a6bba825287f | 4,331 | py | Python | Naive_Bayes/lib/naive_bayes.py | DavexPro/MLStudy | 869ab4e569fe1cde1a3a6238977282b81a71fc81 | [
"MIT"
] | null | null | null | Naive_Bayes/lib/naive_bayes.py | DavexPro/MLStudy | 869ab4e569fe1cde1a3a6238977282b81a71fc81 | [
"MIT"
] | null | null | null | Naive_Bayes/lib/naive_bayes.py | DavexPro/MLStudy | 869ab4e569fe1cde1a3a6238977282b81a71fc81 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding=utf-8
# -*- utf8 -*-
# author=dave.fang@outlook.com
# create=20170330
import math
from lib.log import LOGGER
def calc_mean(numbers):
"""
:param numbers:
:return:
"""
return sum(numbers) / float(len(numbers))
def calc_stdev(numbers):
"""
:param numbers:
:return:
"""
avg = calc_mean(numbers)
variance = sum([pow(x - avg, 2) for x in numbers]) / float(len(numbers) - 1)
return math.sqrt(variance)
def calc_probability(x, mean, stdev):
"""
:param x:
:param mean:
:param stdev:
:return:
"""
exponent = math.exp(-(math.pow(x - mean, 2) / (2 * math.pow(stdev, 2))))
return (1 / (math.sqrt(2 * math.pi) * stdev)) * exponent
| 31.384058 | 111 | 0.563842 |
9b4d709976efa66a27e01fd0d18980bfda0f6d63 | 1,004 | py | Python | views/sprite_views/combo_attack_sprite.py | kuyu12/pygame_fight_game | 3bbc286b9f33c6d6d9db9bea21f9b7af15247df5 | [
"MIT"
] | 1 | 2020-08-03T07:54:59.000Z | 2020-08-03T07:54:59.000Z | views/sprite_views/combo_attack_sprite.py | kuyu12/pygame_fight_game | 3bbc286b9f33c6d6d9db9bea21f9b7af15247df5 | [
"MIT"
] | null | null | null | views/sprite_views/combo_attack_sprite.py | kuyu12/pygame_fight_game | 3bbc286b9f33c6d6d9db9bea21f9b7af15247df5 | [
"MIT"
] | null | null | null | from views.sprite_views.attack_sprite import AttackSprite, AttackState
from views.sprite_views.movement_sprite import Direction, State
| 37.185185 | 115 | 0.721116 |
9b4eebb09566e097a91f5dda6e303d168c9b41e8 | 337 | py | Python | app/migrations/0024_auto_20190801_2013.py | olivierpons/evalr | 7c76474ad41769804965a11550501321d7b1889b | [
"MIT"
] | null | null | null | app/migrations/0024_auto_20190801_2013.py | olivierpons/evalr | 7c76474ad41769804965a11550501321d7b1889b | [
"MIT"
] | null | null | null | app/migrations/0024_auto_20190801_2013.py | olivierpons/evalr | 7c76474ad41769804965a11550501321d7b1889b | [
"MIT"
] | null | null | null | # Generated by Django 2.2.3 on 2019-08-01 18:13
from django.db import migrations
| 18.722222 | 47 | 0.602374 |
9b4f6caa8f4e00e79f672af5d86d90e4902524c8 | 548 | py | Python | app/users/__init__.py | niross/ftrack | 73196f8b72f52ad04fe67ffa2bd830e058ceaf7f | [
"MIT"
] | null | null | null | app/users/__init__.py | niross/ftrack | 73196f8b72f52ad04fe67ffa2bd830e058ceaf7f | [
"MIT"
] | null | null | null | app/users/__init__.py | niross/ftrack | 73196f8b72f52ad04fe67ffa2bd830e058ceaf7f | [
"MIT"
] | null | null | null | from flask import Blueprint
from flask_security import SQLAlchemyUserDatastore
from app import db
from app.users.models import User, Role
bp = Blueprint('users', __name__, template_folder='templates')
user_datastore = SQLAlchemyUserDatastore(db, User, Role)
# Create a user to test with
| 28.842105 | 86 | 0.755474 |
9b4fcde6493e496f8266585c418f51bc87980875 | 6,457 | py | Python | payctl/utils.py | arjanz/substrate-payctl | 57d13155ffd8e200d54ec4d4382a09b757fa8211 | [
"MIT"
] | null | null | null | payctl/utils.py | arjanz/substrate-payctl | 57d13155ffd8e200d54ec4d4382a09b757fa8211 | [
"MIT"
] | null | null | null | payctl/utils.py | arjanz/substrate-payctl | 57d13155ffd8e200d54ec4d4382a09b757fa8211 | [
"MIT"
] | null | null | null | from substrateinterface import SubstrateInterface, Keypair
from substrateinterface.utils.ss58 import ss58_encode, ss58_decode
#
# get_config - Get a default and validator specific config elements from args and config.
#
#
# get_eras_rewards_point - Collect the ErasRewardPoints (total and invididual) for a given range of eras.
#
#
# get_eras_validator_rewards - Collect the ErasValidatorReward for a given range of eras.
#
#
# get_eras_payment_info - Combine information from ErasRewardPoints and ErasValidatorReward for given
# range of eras to repor the amount of per validator instead of era points.
#
#
# get_eras_payment_info_filtered - Similar than get_eras_payment_info but applying some filters;
# 1 . Include only eras containing given acconts.
# 2 . Include only eras containing unclaimed rewards.
#
# NOTE: The returned structure is slighly different than
# get_eras_payment_info
#
#
# get_included_accounts - Get the list (for the filtering) of included accounts from the args and config.
#
#
# get_accounts_ledger - Collect the Ledger for a given list of accounts.
#
#
# get_keypair - Generate a Keypair from args and config.
#
#
# get_nonce - Get the next nonce to be used on a signature for a given account.
#
| 32.447236 | 106 | 0.647205 |
9b52940acbc894f83db7c38174cba4aed0fe37b6 | 7,279 | py | Python | Notepad++/programfiles/Notepad++/plugins/PythonScript/scripts/Samples/LogfileLexer.py | slim71/Utils | 5fcb0ec604cc039668f132c102d6bd2050bcea5c | [
"Unlicense"
] | null | null | null | Notepad++/programfiles/Notepad++/plugins/PythonScript/scripts/Samples/LogfileLexer.py | slim71/Utils | 5fcb0ec604cc039668f132c102d6bd2050bcea5c | [
"Unlicense"
] | null | null | null | Notepad++/programfiles/Notepad++/plugins/PythonScript/scripts/Samples/LogfileLexer.py | slim71/Utils | 5fcb0ec604cc039668f132c102d6bd2050bcea5c | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""
LogfileLexer - Demo
Highlights whole lines which matches the regex.
Usage:
Load a logfile, modify error and warning regex and
run script to see how it works
Note: By commenting or deleting everything, including,
the <comment_or_delete> tags it is ready to be used
as an additional lexer
"""
from Npp import editor, notepad, LEXER, SCINTILLANOTIFICATION, NOTIFICATION, LANGTYPE
import re
try:
# on first run this will generate an NameError exception
LOGFILE_LEXER().main()
except NameError:
LOGFILE_LEXER().main()
| 37.911458 | 96 | 0.615469 |
9b52da16ba296fc3a30eb27a8abe81a9c2046c19 | 913 | py | Python | py_mybatis/mapper_func.py | malone081021/py_mybatis | bea69b2aa0d17d9a96ddf596bc63bd88e5a2045e | [
"Apache-2.0"
] | 15 | 2020-08-20T03:57:13.000Z | 2022-02-01T03:08:14.000Z | py_mybatis/mapper_func.py | malone081021/py_mybatis | bea69b2aa0d17d9a96ddf596bc63bd88e5a2045e | [
"Apache-2.0"
] | 3 | 2020-08-20T05:43:22.000Z | 2020-09-23T08:08:10.000Z | py_mybatis/mapper_func.py | malone081021/py_mybatis | bea69b2aa0d17d9a96ddf596bc63bd88e5a2045e | [
"Apache-2.0"
] | 10 | 2020-12-10T06:17:20.000Z | 2022-02-26T07:07:48.000Z | from .logger import LOG
from .funs import *
#
#
PY_PARAM_FUNCTION = PyFunction()
#
for fun_name in default_fun_dict:
PY_PARAM_FUNCTION.register_func(fun_name, default_fun_dict[fun_name])
#
PY_RESULT_FUNCTION = PyFunction()
| 25.361111 | 73 | 0.682366 |
9b5316477ce7fd6da19f6364699eb3e0afb2374d | 87 | py | Python | envisage/plugins/ipython_kernel/api.py | janvonrickenbach/Envisage_wxPhoenix_py3 | cf79e5b2a0c3b46898a60b5fe5a2fb580604808b | [
"BSD-3-Clause"
] | null | null | null | envisage/plugins/ipython_kernel/api.py | janvonrickenbach/Envisage_wxPhoenix_py3 | cf79e5b2a0c3b46898a60b5fe5a2fb580604808b | [
"BSD-3-Clause"
] | 1 | 2017-05-22T21:15:22.000Z | 2017-05-22T21:15:22.000Z | envisage/plugins/ipython_kernel/api.py | janvonrickenbach/Envisage_wxPhoenix_py3 | cf79e5b2a0c3b46898a60b5fe5a2fb580604808b | [
"BSD-3-Clause"
] | 1 | 2019-10-01T07:03:58.000Z | 2019-10-01T07:03:58.000Z | from ipython_kernel_plugin import IPythonKernelPlugin, IPYTHON_KERNEL_PROTOCOL # noqa
| 43.5 | 86 | 0.885057 |
9b533be27e81a8ec5389e0a6e1d39a3dcf1f48a7 | 3,283 | py | Python | multiAgentEnv/maenv/mpe/_mpe_utils/forward_models/forward_model.py | eranbTAU/Closing-the-Reality-Gap-for-a-Multi-Agent-System-Using-GAN | 3df5f8ba1069ce3f16f1ab743da9cbdd3bddd43c | [
"MIT"
] | null | null | null | multiAgentEnv/maenv/mpe/_mpe_utils/forward_models/forward_model.py | eranbTAU/Closing-the-Reality-Gap-for-a-Multi-Agent-System-Using-GAN | 3df5f8ba1069ce3f16f1ab743da9cbdd3bddd43c | [
"MIT"
] | null | null | null | multiAgentEnv/maenv/mpe/_mpe_utils/forward_models/forward_model.py | eranbTAU/Closing-the-Reality-Gap-for-a-Multi-Agent-System-Using-GAN | 3df5f8ba1069ce3f16f1ab743da9cbdd3bddd43c | [
"MIT"
] | 1 | 2022-02-22T11:06:40.000Z | 2022-02-22T11:06:40.000Z | import torch
import numpy as np
import os
from ..utils import load_params, get_scaler, get_rescaler
| 35.301075 | 115 | 0.603412 |
9b5505ca703b310b156073810269854022e84cd6 | 948 | py | Python | src/personal/views.py | vybhavpai/Blog | 8e0adf52bfba5502f787dd339866f39b5f4856f4 | [
"bzip2-1.0.6"
] | null | null | null | src/personal/views.py | vybhavpai/Blog | 8e0adf52bfba5502f787dd339866f39b5f4856f4 | [
"bzip2-1.0.6"
] | 17 | 2020-06-06T00:04:23.000Z | 2022-03-12T00:25:43.000Z | src/personal/views.py | vybhavpai/Blog | 8e0adf52bfba5502f787dd339866f39b5f4856f4 | [
"bzip2-1.0.6"
] | null | null | null | from django.shortcuts import render
from blog.models import BlogPost
from operator import attrgetter
from blog.views import get_blog_queryset
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
# Create your views here.
BLOG_POSTS_PER_PAGE = 1
| 27.085714 | 90 | 0.781646 |
9b551741cab1afbab203fa568039b9c06d277d87 | 5,771 | py | Python | tools/makeplugin.py | rhcad/x3py | a631b9130673683f9c0395209ff49b94eb0ceac6 | [
"Apache-2.0"
] | 214 | 2015-01-25T15:54:57.000Z | 2022-03-13T13:20:34.000Z | tools/makeplugin.py | HAERBINWINE/x3py | a631b9130673683f9c0395209ff49b94eb0ceac6 | [
"Apache-2.0"
] | 18 | 2015-03-11T15:42:56.000Z | 2021-12-23T10:11:03.000Z | tools/makeplugin.py | HAERBINWINE/x3py | a631b9130673683f9c0395209ff49b94eb0ceac6 | [
"Apache-2.0"
] | 126 | 2015-01-19T03:28:48.000Z | 2022-03-16T06:52:57.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Function: Create a plugin project based on example project.
This script has been tested with ActivePython 2.7/3.2.
Usage: python makeplugin.py [prjname [pkgname [srcprj [srcpkg [useswig]]]]]
or double click the file 'makeplugin.py'.
prjname: name of the new project.
pkgname: package name of the new project, the default value is 'example'.
srcprj: template (exists) project name, the default value is 'pltempl'.
srcpkg: package name of the template project, the default value is 'example'.
useswig: need swig files or not (y/n), the default value is 'n'.
Creator: Zhang Yungui <rhcad@hotmail.com>
Date: 2011.11.14
ChangeList:
1. Implemented the function: multi_replace, copyfiles, makeproj
2. Auto copy interface files and skip swig files. [2011.12.14]
3. Auto skip empty folders. [2012.02.21]
"""
import os, sys, re, uuid
if __name__=="__main__":
prjname = inputparam(1, 'New project name: ')
pkgname = inputparam(2, 'Package name of the new project (default: example): ', 'example')
srcprj = inputparam(3, 'Template (exists) project name (default: pltempl): ', 'pltempl')
srcpkg = inputparam(4, 'Package name of the template project (default: example): ', 'example')
useswig = inputparam(5, 'Need swig (y/n) ? (default: n): ', 'n')
makeproj(prjname, pkgname, srcprj, srcpkg, 'n' in useswig)
if len(sys.argv) < 3: raw_input("Press <ENTER> to end.")
| 41.517986 | 99 | 0.582741 |
9b56838a87136d14ec040f4d65ab94a7e2ebd723 | 146,532 | py | Python | V1/R1/N2HF_armors_v1_r1.py | N2HF-OFFICIAL/n2hf | de4a26a3b70082cd2375cc3fe7a5c2fd09cec085 | [
"MIT"
] | null | null | null | V1/R1/N2HF_armors_v1_r1.py | N2HF-OFFICIAL/n2hf | de4a26a3b70082cd2375cc3fe7a5c2fd09cec085 | [
"MIT"
] | null | null | null | V1/R1/N2HF_armors_v1_r1.py | N2HF-OFFICIAL/n2hf | de4a26a3b70082cd2375cc3fe7a5c2fd09cec085 | [
"MIT"
] | null | null | null |
from PIL import Image
import os
import numpy as np
import pandas as pd
from random import seed
from random import randint
dirname = os.path.dirname('')
dimensions = 600, 600
make_armors("doojunggap", 500, 54)
make_armors("gyungbyungap", 500, 41)
make_armors("chalgap", 34, 12113524)
| 163.175947 | 364 | 0.591611 |
9b57a3de7044f1cb8c387a458b45c232a75ebe2f | 700 | py | Python | maze/model/stack.py | cleuton/pythondrops | 8190567fc3c0b54b4cb2465d989f1bc992ca89da | [
"Apache-2.0"
] | 8 | 2018-06-15T05:37:41.000Z | 2021-05-23T23:40:45.000Z | maze/model/stack.py | cleuton/pythondrops | 8190567fc3c0b54b4cb2465d989f1bc992ca89da | [
"Apache-2.0"
] | 2 | 2018-06-15T05:39:59.000Z | 2019-08-30T01:16:30.000Z | maze/model/stack.py | cleuton/pythondrops | 8190567fc3c0b54b4cb2465d989f1bc992ca89da | [
"Apache-2.0"
] | 5 | 2018-06-15T05:37:42.000Z | 2019-08-29T10:19:22.000Z | from collections import namedtuple | 31.818182 | 61 | 0.594286 |
9b5a7ee5d76db4300a01a1e469082c5cdcc09d8b | 468 | py | Python | polynomials_on_simplices/calculus/test/real_interval_test.py | FAndersson/polynomials_on_simplices | f015a4772c817bfa99b0d6b726667a38a174b064 | [
"MIT"
] | 1 | 2021-03-17T11:41:21.000Z | 2021-03-17T11:41:21.000Z | polynomials_on_simplices/calculus/test/real_interval_test.py | FAndersson/polynomials_on_simplices | f015a4772c817bfa99b0d6b726667a38a174b064 | [
"MIT"
] | null | null | null | polynomials_on_simplices/calculus/test/real_interval_test.py | FAndersson/polynomials_on_simplices | f015a4772c817bfa99b0d6b726667a38a174b064 | [
"MIT"
] | null | null | null | import sys
import pytest
from polynomials_on_simplices.calculus.real_interval import equivalent_periodic_element
if __name__ == "__main__":
pytest.main(sys.argv)
| 22.285714 | 87 | 0.700855 |
9b5b1c2f681b75f91aedc79ae49917274c836bb0 | 761 | py | Python | client codes/client v2/get_code_when_free.py | nathaniel-security/Localhost-distributed-computing-engine | 4643c22f563a969ccaf1062da17696819e00ab9a | [
"MIT"
] | null | null | null | client codes/client v2/get_code_when_free.py | nathaniel-security/Localhost-distributed-computing-engine | 4643c22f563a969ccaf1062da17696819e00ab9a | [
"MIT"
] | null | null | null | client codes/client v2/get_code_when_free.py | nathaniel-security/Localhost-distributed-computing-engine | 4643c22f563a969ccaf1062da17696819e00ab9a | [
"MIT"
] | null | null | null | from client_database_connection import mycursor
from ftp import *
from config import free
config = json.loads(open('config.json').read())
node_id = config['node id']
local_path = config['local path']
while free:
sql = "SELECT code_id FROM code_node where node_id = " + node_id
mycursor.execute(sql)
node = mycursor.fetchone()
code_id = mycursor.fetchone()
if(code_id is not None):
free = False
break
hostname = ftp_hostname()
password = ftp_password()
user = ftp_user()
sql = "SELECT code_path FROM code_data where code_id = " + code_id
mycursor.execute(sql)
remote_path = mycursor.fetchone()
connect(hostname, user , password ,local_path ,remote_path)
os.system("python run.py")
| 22.382353 | 69 | 0.680683 |
9b5be5c5ed6504a2c9ccae3984febdda2e35498d | 5,862 | py | Python | server/app.py | LeartKrasniqi/Sign-Language-Interpreter | 46ffef29eaf3746d48654bc4430d6e921120d33e | [
"MIT"
] | 3 | 2020-02-25T14:43:33.000Z | 2020-10-10T08:42:27.000Z | server/app.py | LeartKrasniqi/Sign-Language-Interpreter | 46ffef29eaf3746d48654bc4430d6e921120d33e | [
"MIT"
] | null | null | null | server/app.py | LeartKrasniqi/Sign-Language-Interpreter | 46ffef29eaf3746d48654bc4430d6e921120d33e | [
"MIT"
] | 1 | 2020-02-24T19:46:11.000Z | 2020-02-24T19:46:11.000Z | import os
from flask import Flask, flash, request, redirect, url_for, jsonify
from flask_cors import CORS
from werkzeug.utils import secure_filename
import subprocess
# set up text to speech map
from nltk.stem import PorterStemmer
from nltk.tokenize import word_tokenize
# speech recognition
import speech_recognition as sr
recognizer = sr.Recognizer()
# Create dictionary
word_dict = dict()
stem_dict = dict()
# Create stemmer
stemmer = PorterStemmer()
# Read in the dictionary file
dict_dir = "../img/"
dict_filename = dict_dir + "dict.txt"
dict_file = open(dict_filename, "r")
dict_lines = dict_file.read().splitlines()
# Make map of word and word stem to file
for line in dict_lines:
split = line.split()
word = split[0]
filepath = dict_dir + split[1]
if word not in word_dict.keys():
word_dict[word] = filepath
stem = stemmer.stem(word)
if stem not in stem_dict.keys():
stem_dict[stem] = filepath
# List of words that do not need a sign
non_signs = ["is", "are", "be"]
# The alphabet
alpha = "abcdefghijklmnopqrstuvwxyz"
# Translate the sentences
# takes recognized_words as input and
# returns a valid path to each word or letter
# set up server
app = Flask(__name__)
UPLOAD_FOLDER_VIDEO = './videos/'
UPLOAD_FOLDER_VOICE = './voice/'
UPLOAD_FOLDER_IMAGE = './images/'
ALLOWED_EXTENSIONS = {'mpg', 'mp4'}
app = Flask(__name__)
app.config['UPLOAD_FOLDER_VIDEO'] = UPLOAD_FOLDER_VIDEO
app.config['UPLOAD_FOLDER_VOICE'] = UPLOAD_FOLDER_VOICE
app.config['UPLOAD_FOLDER_IMAGE'] = UPLOAD_FOLDER_IMAGE
CORS(app)
if __name__ == '__main__':
app.run(host="localhost", port=42248, debug=True)
| 31.686486 | 95 | 0.628796 |
9b5d3c5659fc7c63b174be7b4744d1de06e0f242 | 1,128 | py | Python | main/PluginDemos/MomentOfInertia/MomentOfInertia3D/Simulation/MomentOfInertia3DSteppables.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | null | null | null | main/PluginDemos/MomentOfInertia/MomentOfInertia3D/Simulation/MomentOfInertia3DSteppables.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | null | null | null | main/PluginDemos/MomentOfInertia/MomentOfInertia3D/Simulation/MomentOfInertia3DSteppables.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | 1 | 2021-02-26T21:50:29.000Z | 2021-02-26T21:50:29.000Z | from cc3d.core.PySteppables import *
| 40.285714 | 98 | 0.618794 |
9b5d42d58638f8e19f6b1354d952d443c3e13a52 | 4,003 | py | Python | skirt-sniffer.py | macenpav/skirt-sniffer | 3ba45d5f7f22b83417525835dc594e698c4ebb1a | [
"MIT"
] | null | null | null | skirt-sniffer.py | macenpav/skirt-sniffer | 3ba45d5f7f22b83417525835dc594e698c4ebb1a | [
"MIT"
] | null | null | null | skirt-sniffer.py | macenpav/skirt-sniffer | 3ba45d5f7f22b83417525835dc594e698c4ebb1a | [
"MIT"
] | null | null | null | import data_module
import email_module
import db_module
from jinja2 import Environment, FileSystemLoader
from os import path
import time
from datetime import datetime
DIR_PATH = path.dirname(path.realpath(__file__))
NEW_SKIRT_SUBJECT = r"Novinka! - {0}"
NEW_PRINT_SUBJECT = r"NOV TISKY! - {0}"
DAY_INIT_SUBJECT = r"Keporkak se probouz! - {0}"
PAGE_LIMIT = 20 # limit to read pages so we don't deadlock while mining data
if __name__ == "__main__":
print("main({0}): Checking if server is available.".format(str(time.time())))
if data_module.is_server_available() is False:
print("main({0}): Unable to ping server.".format(str(time.time())))
else:
day_init_check()
print("main({0}): Starting to mine data.".format(str(time.time())))
run_base()
run_print()
print("main({0}): Finished mining.".format(str(time.time())))
| 32.024 | 101 | 0.671496 |
9b5e52eda69e6b966095678067006f5bc461763d | 3,661 | py | Python | gos/manager.py | sergey-aganezov-jr/gos | fb4d210284f3037c5321250cb95f3901754feb6b | [
"MIT"
] | null | null | null | gos/manager.py | sergey-aganezov-jr/gos | fb4d210284f3037c5321250cb95f3901754feb6b | [
"MIT"
] | null | null | null | gos/manager.py | sergey-aganezov-jr/gos | fb4d210284f3037c5321250cb95f3901754feb6b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from gos.configuration import Configuration
from gos.exceptions import GOSTaskException, GOSExecutableContainerException
from gos.executable_containers import ExecutableContainer
from gos.tasks import TaskLoader
| 50.847222 | 124 | 0.645179 |
9b5f11338fa982d437506f6ebd36acb9e68351e8 | 2,608 | py | Python | couchcrdt/crdt.py | drsm79/couch-crdt | 1717a8b03a488793984d7209f6da78c395b3477f | [
"Apache-2.0"
] | null | null | null | couchcrdt/crdt.py | drsm79/couch-crdt | 1717a8b03a488793984d7209f6da78c395b3477f | [
"Apache-2.0"
] | null | null | null | couchcrdt/crdt.py | drsm79/couch-crdt | 1717a8b03a488793984d7209f6da78c395b3477f | [
"Apache-2.0"
] | null | null | null | import requests
import json
| 28.347826 | 79 | 0.546012 |
9b5f1ca95a4bf43c73f0a6830a6c9ae4f3d79f44 | 134 | py | Python | svreal/enums.py | sgherbst/svreal | 62811a3074732554db650b8decde60997fbe8b59 | [
"MIT"
] | 27 | 2019-05-14T10:14:21.000Z | 2022-01-22T03:00:05.000Z | svreal/enums.py | sgherbst/svreal | 62811a3074732554db650b8decde60997fbe8b59 | [
"MIT"
] | 8 | 2020-03-16T07:38:30.000Z | 2021-05-27T17:59:24.000Z | svreal/enums.py | sgherbst/svreal | 62811a3074732554db650b8decde60997fbe8b59 | [
"MIT"
] | 3 | 2020-10-21T19:10:13.000Z | 2022-02-23T12:34:12.000Z | from enum import Enum
| 19.142857 | 30 | 0.701493 |
9b601d1541c40d95e59c43221fab5f52ddc75afd | 231 | py | Python | zvt/recorders/joinquant/overall/__init__.py | Evergreen2020/zvt | 446a2512d716a38a12164b6d4468a6c9de01b986 | [
"MIT"
] | 6 | 2020-09-03T10:02:00.000Z | 2021-02-04T02:51:47.000Z | zvt/recorders/joinquant/overall/__init__.py | Evergreen2020/zvt | 446a2512d716a38a12164b6d4468a6c9de01b986 | [
"MIT"
] | 2 | 2019-12-20T13:12:30.000Z | 2020-01-03T06:24:30.000Z | zvt/recorders/joinquant/overall/__init__.py | Evergreen2020/zvt | 446a2512d716a38a12164b6d4468a6c9de01b986 | [
"MIT"
] | 2 | 2020-07-08T04:15:40.000Z | 2021-06-08T08:51:31.000Z | # -*- coding: utf-8 -*-
from zvt.recorders.joinquant.overall.cross_market_recorder import *
from zvt.recorders.joinquant.overall.margin_trading_recorder import *
from zvt.recorders.joinquant.overall.stock_summary_recorder import *
| 46.2 | 69 | 0.822511 |
9b6200504eb1e628d498d1956f71cf3b490895b3 | 1,708 | py | Python | legacy/dx/simulator/simulator_diagnoser/test/diagnosis/apt_diagnoser_test.py | GaloisInc/adapt | 2ccff778d3e77505899266572f8f7caacb5b630f | [
"BSD-3-Clause"
] | 2 | 2020-04-09T13:04:25.000Z | 2021-09-24T14:17:26.000Z | legacy/dx/simulator/simulator_diagnoser/test/diagnosis/apt_diagnoser_test.py | GaloisInc/adapt | 2ccff778d3e77505899266572f8f7caacb5b630f | [
"BSD-3-Clause"
] | null | null | null | legacy/dx/simulator/simulator_diagnoser/test/diagnosis/apt_diagnoser_test.py | GaloisInc/adapt | 2ccff778d3e77505899266572f8f7caacb5b630f | [
"BSD-3-Clause"
] | 3 | 2019-09-20T20:49:54.000Z | 2021-09-02T17:33:47.000Z | import unittest
from simulator_diagnoser.graph import InmemoryGraph
from simulator_diagnoser.diagnosis import APTDiagnoser
from simulator_diagnoser.matcher import Terminal, \
Sequence, \
StatelessMatcher
if __name__ == '__main__':
unittest.main()
| 31.054545 | 65 | 0.527518 |
9b650fbea222942a995d60c70b774dcb9b12f9c7 | 888 | py | Python | etl/produce_map.py | hbmartin/sub9-client | 0f85639412e2a2d695e9f6a56913dcb055af82b2 | [
"CC-BY-4.0"
] | null | null | null | etl/produce_map.py | hbmartin/sub9-client | 0f85639412e2a2d695e9f6a56913dcb055af82b2 | [
"CC-BY-4.0"
] | null | null | null | etl/produce_map.py | hbmartin/sub9-client | 0f85639412e2a2d695e9f6a56913dcb055af82b2 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python3
"""Roll up the geo6 json to produce a tree suitable for sub9 query"""
__author__ = "H. Martin"
__version__ = "0.1.0"
import json
import math
from random import randint
data = {}
transformed = {}
with open('geohash_counter_6.json', encoding='utf-8') as data_file:
data = json.loads(data_file.read())
for geo6 in data:
geohash_info = {}
count = math.ceil(data[geo6] * 0.1)
geohash_info['count'] = count
geo4 = geo6[:4]
if geo4 not in transformed:
transformed[geo4] = {"count":0}
transformed[geo4]["count"] += count
geo5 = geo6[:5]
if geo5 not in transformed[geo4]:
transformed[geo4][geo5] = {"count":0}
transformed[geo4][geo5]["count"] += count
transformed[geo4][geo5][geo6] = geohash_info
with open('full_map.json', 'w', encoding='utf-8') as outfile:
json.dump(transformed, outfile, indent=2) | 24.666667 | 69 | 0.653153 |
9b65e671e782ba8045e5362d7f2aa0daf9d92725 | 716 | py | Python | tests/factory_fixtures/notes.py | codeforpdx/dwellinglybackend | 92fee6d19a68ae00750927b8700eaa7195b57668 | [
"MIT"
] | 15 | 2020-07-09T20:51:09.000Z | 2021-11-28T21:59:02.000Z | tests/factory_fixtures/notes.py | codeforpdx/dwellinglybackend | 92fee6d19a68ae00750927b8700eaa7195b57668 | [
"MIT"
] | 148 | 2020-03-28T22:10:30.000Z | 2021-12-19T09:22:59.000Z | tests/factory_fixtures/notes.py | codeforpdx/dwellinglybackend | 92fee6d19a68ae00750927b8700eaa7195b57668 | [
"MIT"
] | 30 | 2020-03-12T02:31:27.000Z | 2021-07-29T02:40:36.000Z | import pytest
from models.notes import NotesModel
from schemas.notes import NotesSchema
from tests.attributes import note_attrs
| 27.538462 | 86 | 0.726257 |
9b6659e81f23a3d9ae4d6dd42d1200115d52d82d | 2,220 | py | Python | src/routers/v1/endpoints/facetime.py | kal-byte/my-api | e1fccfa57cda874753d48411f7bfff06afbdb019 | [
"MIT"
] | 2 | 2021-03-13T14:43:05.000Z | 2021-03-13T15:10:58.000Z | src/routers/v1/endpoints/facetime.py | kal-byte/my-api | e1fccfa57cda874753d48411f7bfff06afbdb019 | [
"MIT"
] | null | null | null | src/routers/v1/endpoints/facetime.py | kal-byte/my-api | e1fccfa57cda874753d48411f7bfff06afbdb019 | [
"MIT"
] | 2 | 2021-03-13T14:42:40.000Z | 2021-03-17T18:18:10.000Z | """
MIT License
Copyright 2021-Present kal-byte
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, publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
import utils
import polaroid
from io import BytesIO
from fastapi import APIRouter
from fastapi.responses import StreamingResponse, JSONResponse
router = APIRouter()
| 34.153846 | 102 | 0.763964 |
9b695e220684cc34d44b4b158affb4987027de4f | 213 | py | Python | test/test_hook.py | mudox/pytav | 4124628c45ffd3fc35913d781278eb349d9c8559 | [
"MIT"
] | null | null | null | test/test_hook.py | mudox/pytav | 4124628c45ffd3fc35913d781278eb349d9c8559 | [
"MIT"
] | null | null | null | test/test_hook.py | mudox/pytav | 4124628c45ffd3fc35913d781278eb349d9c8559 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from tav.tmux import hook
| 16.384615 | 29 | 0.690141 |
9b6bba0de98dfc7b9557b30776b8cee5fb813b43 | 445 | py | Python | app/accounts/migrations/0003_auto_20190323_1709.py | NjengaSaruni/Accountant-Web-Server | e77124307f235a4a446e1251d2830d7587cb8719 | [
"MIT"
] | null | null | null | app/accounts/migrations/0003_auto_20190323_1709.py | NjengaSaruni/Accountant-Web-Server | e77124307f235a4a446e1251d2830d7587cb8719 | [
"MIT"
] | 19 | 2018-12-10T20:06:21.000Z | 2021-06-10T21:03:31.000Z | app/accounts/migrations/0003_auto_20190323_1709.py | NjengaSaruni/Accountant-Web-Server | e77124307f235a4a446e1251d2830d7587cb8719 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-03-23 17:09
from django.db import migrations, models
| 23.421053 | 106 | 0.626966 |
9b6c6e386630575a00a0344243a155f4ff7c4cd5 | 979 | py | Python | src/components/sidebar1.py | DishaDH123/Disha551Dashboard | 3354ff94134e6094f7e5759f17abe5d988a32198 | [
"MIT"
] | null | null | null | src/components/sidebar1.py | DishaDH123/Disha551Dashboard | 3354ff94134e6094f7e5759f17abe5d988a32198 | [
"MIT"
] | null | null | null | src/components/sidebar1.py | DishaDH123/Disha551Dashboard | 3354ff94134e6094f7e5759f17abe5d988a32198 | [
"MIT"
] | null | null | null | import dash
from dash import dcc
from dash import html,Input, Output
import dash_bootstrap_components as dbc
from ..app import app
from .sidebar_function_tab1 import TAB1_DROPDOWN,time_scale,date_slider,choose_fun_tab1
SIDEBAR1 = [dbc.Row("Energy Dashboard",class_name="title",style={"font-size":"30px","padding-left": "10px","padding-top": "10px"}),
dbc.Row("___________________________________________"),
html.Br(),
dbc.Row("This dashboard figure out which factors make a difference to house temperature and humidity. You can choose the factors from the dropdown below.",class_name="description"),
html.Br(),
dbc.Label("Compare Across:",class_name="sub_title",style={"font-size":"20px"}),
html.Br(),
dbc.Row(TAB1_DROPDOWN),
html.Br(),
dbc.Row(id="selection_tab1"),
html.Br(),
dbc.Row(time_scale),
html.Br(),
dbc.Row(date_slider),
]
| 34.964286 | 181 | 0.763023 |
9b6d446a16c44d84b91f269a1e5ec023a880fe0e | 4,176 | py | Python | interbotix_examples/interbotix_moveit_interface/get_trajectory_server.py | junyaoshi/interbotix_ros_arms | ca37aa98a66acdbd17557d6808d6c32f0ad4799b | [
"BSD-2-Clause"
] | null | null | null | interbotix_examples/interbotix_moveit_interface/get_trajectory_server.py | junyaoshi/interbotix_ros_arms | ca37aa98a66acdbd17557d6808d6c32f0ad4799b | [
"BSD-2-Clause"
] | null | null | null | interbotix_examples/interbotix_moveit_interface/get_trajectory_server.py | junyaoshi/interbotix_ros_arms | ca37aa98a66acdbd17557d6808d6c32f0ad4799b | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
from moveit_python_interface import MoveGroupPythonInteface
from geometry_msgs.msg import Pose
import rospy
from interbotix_moveit_interface.srv import GetTrajectory, GetTrajectoryResponse
# flags
GO_TO_START_JOINT_VALUES = False # whether to use execute a plan to go to start joint values
EXECUTE_PLAN = False # whether to execute the plan generated for reaching pose goal
ROBOT_NAME = 'wx200' # name of the robot
DOF = 5 # robot's degrees of freedom
# mesh object path dictionary
MESH_OBJECT_FILENAMES = {"chair_bernhard_0146/left_leg": "furniture/env/models/assets/objects/chair_bernhard_0146/left_leg.stl",
"chair_bernhard_0146/right_leg": "furniture/env/models/assets/objects/chair_bernhard_0146/right_leg.stl",
"chair_bernhard_0146/seat": "furniture/env/models/assets/objects/chair_bernhard_0146/seat.stl",
"table_klubbo_0743/leg1": "furniture/env/models/assets/objects/table_klubbo_0743/leg1.stl",
"table_klubbo_0743/leg2": "furniture/env/models/assets/objects/table_klubbo_0743/leg2.stl",
"table_klubbo_0743/leg3": "furniture/env/models/assets/objects/table_klubbo_0743/leg3.stl",
"table_klubbo_0743/leg4": "furniture/env/models/assets/objects/table_klubbo_0743/leg4.stl",
"table_klubbo_0743/table_top": "furniture/env/models/assets/objects/table_klubbo_0743/table_top.stl"}
def generate_trajectory(req):
"""
Handles service request message
:param req: service request message
:return: service response message
"""
start = rospy.get_time()
print("Generating joint trajectory for the following request... \n"
"--- Position: [{} {} {}]\n"
"--- Start joint values: {}\n"
"--- Object names: {}".format(req.x, req.y, req.z, req.start_joint_values, req.object_names))
# add mesh object to scene
for i in range(len(req.object_names)):
object_name = req.object_names[i]
object_pose = req.object_poses[i]
object_size_vector3 = req.object_sizes[i]
object_size = (object_size_vector3.x, object_size_vector3.y, object_size_vector3.z)
try:
object_filename = MESH_OBJECT_FILENAMES[object_name]
if object_name in interface.scene.get_known_object_names():
interface.move_mesh(object_name, object_pose)
else:
interface.add_mesh(object_name, object_pose, object_filename, object_size)
except KeyError:
print("Unrecognized object name: {}".format(object_name))
# remove objects no longer in scene
objects_no_longer_in_scene = list(set(interface.scene.get_known_object_names()) - set(req.object_names))
for object in objects_no_longer_in_scene:
interface.remove_mesh(object)
if GO_TO_START_JOINT_VALUES:
interface.go_to_joint_state(req.start_joint_values)
target_position = [req.x, req.y, req.z]
trajectory_exists, plan = interface.plan_ee_position(target_position,
req.start_joint_values,
execute_plan=EXECUTE_PLAN)
end = rospy.get_time()
print("Trajectory exists?: {} ".format(trajectory_exists))
print("Trajectory sent to client!")
print("Objects in scene after trajectory update: {}".format(interface.scene.get_known_object_names()))
print("Processed request in {} seconds".format(end - start))
return GetTrajectoryResponse(plan.joint_trajectory, trajectory_exists)
if __name__ == "__main__":
interface = MoveGroupPythonInteface(robot_name=ROBOT_NAME, dof=DOF)
# remove objects in moveit scene because of previous runs
for name in interface.scene.get_known_object_names():
interface.scene.remove_world_object(name)
s = rospy.Service('get_trajectory', GetTrajectory, generate_trajectory)
print("Ready to generate trajectory.")
rospy.spin()
| 48 | 130 | 0.677443 |
9b6da7ce7169ebed552ff066ea4c100e67f503a4 | 573 | py | Python | importers/base_importer.py | lwhjon/repo-labels-cli | 5a16638f45f0b13e9fdddc59b1a0952f3ba51287 | [
"MIT"
] | 1 | 2021-07-14T06:32:50.000Z | 2021-07-14T06:32:50.000Z | importers/base_importer.py | lwhjon/repo-labels-cli | 5a16638f45f0b13e9fdddc59b1a0952f3ba51287 | [
"MIT"
] | 2 | 2021-08-31T18:14:03.000Z | 2021-12-29T18:14:25.000Z | importers/base_importer.py | lwhjon/repo-labels-cli | 5a16638f45f0b13e9fdddc59b1a0952f3ba51287 | [
"MIT"
] | null | null | null | """
This module contains the BaseImporter Abstract class which all other importers are inherited from.
"""
from abc import ABC, abstractmethod
from utilities.constants import ImportModes
| 23.875 | 98 | 0.713787 |
9b6ff38b27b5eaa149ea68c6674af0e96146a1de | 28 | py | Python | trump/extensions/source/tx-worldbankst/__init__.py | Equitable/trump | a2802692bc642fa32096374159eea7ceca2947b4 | [
"BSD-3-Clause"
] | 8 | 2015-03-14T13:09:46.000Z | 2020-08-29T17:49:52.000Z | trump/extensions/source/tx-worldbankst/__init__.py | Equitable/trump | a2802692bc642fa32096374159eea7ceca2947b4 | [
"BSD-3-Clause"
] | 64 | 2015-03-14T12:14:17.000Z | 2015-08-15T12:31:42.000Z | trump/extensions/source/tx-worldbankst/__init__.py | Equitable/trump | a2802692bc642fa32096374159eea7ceca2947b4 | [
"BSD-3-Clause"
] | 10 | 2015-03-14T12:18:02.000Z | 2022-01-18T21:44:27.000Z | from worldbankstext import * | 28 | 28 | 0.857143 |
9b70b9748dd8ac6b70d6284121fe398a2d54b264 | 367 | py | Python | ScratchPad/TestSendWeb.py | jdzawodniak/TempMonitorWeb | 280ce2612af9125967b8113d50df945eaf532a5b | [
"MIT"
] | null | null | null | ScratchPad/TestSendWeb.py | jdzawodniak/TempMonitorWeb | 280ce2612af9125967b8113d50df945eaf532a5b | [
"MIT"
] | null | null | null | ScratchPad/TestSendWeb.py | jdzawodniak/TempMonitorWeb | 280ce2612af9125967b8113d50df945eaf532a5b | [
"MIT"
] | null | null | null | # Imports
import requests
import os
import sys
import lcddriver
import time
import datetime
import RPi.GPIO as GPIO
import dht11
thingspeak_key = 'ZHAO5MQEKA0B93P7'
temperature = 23
humidity = 35
# Send the data to Thingspeak
r = requests.post('https://api.thingspeak.com/update.json', data = {'api_key':thingspeak_key, 'field1':temperature, 'field2':humidity}) | 19.315789 | 135 | 0.771117 |
9b71684b4558f4e73ca309d8159aa55dc5c42ada | 51 | py | Python | storage/models/__init__.py | parveenchahal/python-common | 4e5488615db3e0f8ba7f0bfeee87304a98fee2d5 | [
"MIT"
] | null | null | null | storage/models/__init__.py | parveenchahal/python-common | 4e5488615db3e0f8ba7f0bfeee87304a98fee2d5 | [
"MIT"
] | null | null | null | storage/models/__init__.py | parveenchahal/python-common | 4e5488615db3e0f8ba7f0bfeee87304a98fee2d5 | [
"MIT"
] | null | null | null | from ._storage_entry_model import StorageEntryModel | 51 | 51 | 0.921569 |
9b7271707272e07905c19e8e64deead59d30237a | 857 | py | Python | data_utils/merge_dev_set.py | weihezhai/HatefulMemesChallenge | 04f52643c0864d1efb6c0a9c674db42764f6834c | [
"MIT"
] | 63 | 2020-12-09T18:58:16.000Z | 2022-03-21T02:34:35.000Z | data_utils/merge_dev_set.py | weihezhai/HatefulMemesChallenge | 04f52643c0864d1efb6c0a9c674db42764f6834c | [
"MIT"
] | 5 | 2021-01-29T10:33:04.000Z | 2021-08-25T14:15:27.000Z | data_utils/merge_dev_set.py | weihezhai/HatefulMemesChallenge | 04f52643c0864d1efb6c0a9c674db42764f6834c | [
"MIT"
] | 18 | 2020-12-11T20:36:04.000Z | 2021-12-12T07:04:20.000Z | import os
import json
import fire
if __name__ == "__main__":
fire.Fire(main) | 25.205882 | 63 | 0.606768 |
9b739e9baaf2f66a5a0221be7c0052b516ff1db9 | 1,324 | py | Python | scripts/gen-go-pylons.py | KinSai1975/Menira.py | ca275ce244ee4804444e1827ba60010a55acc07c | [
"BSD-3-Clause"
] | 118 | 2015-01-04T06:55:14.000Z | 2022-01-14T08:32:41.000Z | scripts/gen-go-pylons.py | KinSai1975/Menira.py | ca275ce244ee4804444e1827ba60010a55acc07c | [
"BSD-3-Clause"
] | 21 | 2015-01-03T02:16:28.000Z | 2021-03-24T06:10:57.000Z | scripts/gen-go-pylons.py | KinSai1975/Menira.py | ca275ce244ee4804444e1827ba60010a55acc07c | [
"BSD-3-Clause"
] | 53 | 2015-01-04T03:21:08.000Z | 2021-08-04T20:52:01.000Z | #!/usr/bin/env python
"""Generate go-pylons.py"""
import sys
import textwrap
import virtualenv
filename = 'go-pylons.py'
after_install = """\
import os, subprocess
def after_install(options, home_dir):
etc = join(home_dir, 'etc')
## TODO: this should all come from distutils
## like distutils.sysconfig.get_python_inc()
if sys.platform == 'win32':
lib_dir = join(home_dir, 'Lib')
bin_dir = join(home_dir, 'Scripts')
elif is_jython:
lib_dir = join(home_dir, 'Lib')
bin_dir = join(home_dir, 'bin')
else:
lib_dir = join(home_dir, 'lib', py_version)
bin_dir = join(home_dir, 'bin')
if not os.path.exists(etc):
os.makedirs(etc)
subprocess.call([join(bin_dir, 'easy_install'),
'-f', 'http://pylonshq.com/download/%s', 'Pylons==%s'])
"""
if __name__ == '__main__':
main()
| 25.461538 | 63 | 0.614804 |
9b73b142beb25313894454214e85b3ed177d34f5 | 3,173 | py | Python | cweqgen/sphinx/utils.py | cwinpy/cweqgen | b76634f0cdd62ede3295c584027ff911897590be | [
"MIT"
] | 2 | 2022-01-14T18:09:15.000Z | 2022-01-15T22:37:29.000Z | cweqgen/sphinx/utils.py | cwinpy/cweqgen | b76634f0cdd62ede3295c584027ff911897590be | [
"MIT"
] | null | null | null | cweqgen/sphinx/utils.py | cwinpy/cweqgen | b76634f0cdd62ede3295c584027ff911897590be | [
"MIT"
] | null | null | null | import os
import pkg_resources
import shutil
from ..equations import equations
from ..definitions import EQN_DEFINITIONS
def generate_equations_doc(docfile):
"""
Helper function to automatically generate a documentation page containing
all the available equations within cweqgen.
Parameters
----------
docfile: str:
The output file for the documentation.
"""
doccontents = """
#########
Equations
#########
The currently implemented equations are:
"""
references = """\
References
----------
"""
usedreferences = []
usedrefurls = []
refcount = 1
for eqn in EQN_DEFINITIONS:
eqstr = ""
# create equation
eq = equations(eqn)
if eq.reference_string in usedreferences:
refnum = usedreferences.index(eq.reference_string) + 1
else:
usedreferences.append(eq.reference_string)
usedrefurls.append(eq.reference_adsurl)
refnum = refcount
refcount += 1
eqstr += """\
{0}
{1}
""".format(
eq.description, "-" * len(eq.description)
)
eqstr += """
This equation can be accessed from the :func:`~cweqgen.equations.equations` function using
the name ``{}``.
""".format(
eqn
)
eqno = "" if eq.reference_eqno is None else f"Eqn. {eq.reference_eqno} in "
eqstr += """
The generated equation ({0} [{1}]_) is:
.. math::
{2}
""".format(
eqno, refnum, eq.equation(nocomment=True)
)
eqstr += """
The fiducial values defined for this equation are:
.. math::
{}
""".format(
eq.fiducial_equation(nocomment=True)
)
eqstr += """
.. note::
These fiducial values are just those defined within this package and may not be representative
of fiducial values used elsewhere in the literature.
"""
eqstr += """
To generate the equation as calculated at particular values, the
:func:`~cweqgen.equations.equations` can be used as
.. py:function:: equations("{0}", {1})
:noindex:
""".format(
eq.equation_name,
", ".join(
[
"{}={}".format(fid, str(val))
for fid, val in eq.default_fiducial_values.items()
]
),
)
# add doc string lines
for line in eq.__doc__.split("\n"):
eqstr += f" {line}\n"
doccontents += eqstr + "\n"
# add in list of references
for i in range(len(usedreferences)):
references += """
.. [{0}] {1} [`ADS URL <{2}>`__]
""".format(
(i + 1), usedreferences[i], usedrefurls[i]
)
with open(docfile, "w") as fp:
fp.write(doccontents + references)
def generate_yamlexample_doc(docfile, eqn="h0"):
"""
Output an example YAML file.
Parameters
----------
docfile: str
The output file for the documentation.
eqn: str
The name of the equation for which the docstring is required.
"""
src = os.path.join(pkg_resources.resource_filename("cweqgen", "eqnfiles"), f"{eqn}.yaml")
shutil.copyfile(src, docfile)
| 22.188811 | 98 | 0.570753 |
9b7594f95dc3f33774a8b817bdaeb1f8a8797812 | 3,624 | py | Python | employee-project/src/FileIO.py | NischayaSharma/python-codes | f2216002a82f17a9103544f6ba361ed31eb85654 | [
"MIT"
] | null | null | null | employee-project/src/FileIO.py | NischayaSharma/python-codes | f2216002a82f17a9103544f6ba361ed31eb85654 | [
"MIT"
] | null | null | null | employee-project/src/FileIO.py | NischayaSharma/python-codes | f2216002a82f17a9103544f6ba361ed31eb85654 | [
"MIT"
] | null | null | null | import os;
import sys;
FileName='FileIO.txt'
try:
string = os.path.dirname(os.path.realpath(__file__))+'/'+FileName;
fw = open(string, "a+");
crud();
except Exception as e:
print e;
fw.close();
sys.exit();
| 30.2 | 213 | 0.63521 |
9b76216fa16aa9281bbd570ee1371176ada29324 | 4,442 | py | Python | examples/cardless_credit_example.py | glendaesutanto/xendit-python | f9b131882ff7d045f2e2c6518933d1594efba3e6 | [
"MIT"
] | 10 | 2020-10-31T23:34:34.000Z | 2022-03-08T19:08:55.000Z | examples/cardless_credit_example.py | glendaesutanto/xendit-python | f9b131882ff7d045f2e2c6518933d1594efba3e6 | [
"MIT"
] | 22 | 2020-07-30T14:25:07.000Z | 2022-03-31T03:55:46.000Z | examples/cardless_credit_example.py | glendaesutanto/xendit-python | f9b131882ff7d045f2e2c6518933d1594efba3e6 | [
"MIT"
] | 11 | 2020-07-28T08:09:40.000Z | 2022-03-18T00:14:02.000Z | import time
from print_running_function import print_running_function
# Hackish method to import from another directory
# Useful while xendit-python isn't released yet to the public
import importlib.machinery
loader = importlib.machinery.SourceFileLoader("xendit", "../xendit/__init__.py")
xendit = loader.load_module("xendit")
def ask_cardless_credit_input():
print("Input the action that you want to use")
print("0. Exit")
print("1. Create Payment / Generate Checkout URL")
print("2. Calculate Payment Types")
try:
return int(input())
except ValueError:
print("Invalid input. Please type a number")
return ask_cardless_credit_input()
def cardless_credit_example(xendit_instance):
cardless_credit_input = ask_cardless_credit_input()
while cardless_credit_input != 0:
if cardless_credit_input == 1:
print("Running example of Create Payment / Generate Checkout URL")
CreateCardlessCreditPayment.example(xendit_instance)
elif cardless_credit_input == 2:
print("Running example of Calculate Payment Types")
CalculatePaymentType.example(xendit_instance)
cardless_credit_input = ask_cardless_credit_input()
| 35.822581 | 99 | 0.579244 |
9b79ce41c55d1514dd77ba2f1d765d1a882ab8ed | 2,220 | py | Python | tests/test_lines.py | phipleg/trafaret-config | 0063a5027e7db015e0b0b0dafd8159df409121f2 | [
"Apache-2.0",
"MIT"
] | 26 | 2016-12-07T16:40:44.000Z | 2020-11-09T03:27:23.000Z | tests/test_lines.py | phipleg/trafaret-config | 0063a5027e7db015e0b0b0dafd8159df409121f2 | [
"Apache-2.0",
"MIT"
] | 6 | 2017-10-27T13:50:21.000Z | 2020-09-24T17:08:48.000Z | tests/test_lines.py | phipleg/trafaret-config | 0063a5027e7db015e0b0b0dafd8159df409121f2 | [
"Apache-2.0",
"MIT"
] | 5 | 2016-12-05T10:23:29.000Z | 2020-06-05T15:31:24.000Z | import unittest
from textwrap import dedent
import trafaret as T
from .util import get_err
| 27.75 | 75 | 0.476577 |
9b79f3b170c6f1c8996ced8d0a625ff3c7e18cd9 | 4,856 | py | Python | epytope/Data/pssms/arb/mat/B_5801_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/arb/mat/B_5801_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/arb/mat/B_5801_9.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | B_5801_9 = {0: {'A': -0.3411047643185575, 'C': 0.003633483019123024, 'E': -0.4818751780000427, 'D': -0.48635888961606405, 'G': -0.2552323225624609, 'F': -0.18023397304713804, 'I': 0.3607439895775445, 'H': 0.020686177466924322, 'K': 0.8273437122618179, 'M': 0.47430136579724197, 'L': 0.17966127012728303, 'N': -0.3291966962696378, 'Q': -0.21345233956382428, 'P': -0.5325369892850287, 'S': -0.16301393166900496, 'R': 0.027601955371264083, 'T': -0.18363093014019005, 'W': 0.10578368712358037, 'V': 0.052805213226038004, 'Y': -0.02429605455631148}, 1: {'A': 1.174860463273255, 'C': -0.2457666452096607, 'E': -0.5906915606703014, 'D': -0.548169630828652, 'G': 0.19969510117868258, 'F': -0.36554838520842226, 'I': -0.3276255291469775, 'H': -0.5376109875970715, 'K': -0.45690036967999276, 'M': -0.041595243905379574, 'L': -0.3505575547489804, 'N': -0.31767465208943557, 'Q': -0.3475029432425459, 'P': -0.5979633564295069, 'S': 1.2852802397755638, 'R': -0.534535428563245, 'T': 0.6447770595158945, 'W': -0.441133012859596, 'V': -0.1520364358887288, 'Y': -0.50951053028935}, 2: {'A': 0.2684471724541413, 'C': -0.22902610856967154, 'E': -0.43278624501578816, 'D': -0.06934855994261531, 'G': -0.06716035432846008, 'F': 0.10455873668111254, 'I': 0.1925134837370194, 'H': -0.23149990350621824, 'K': -0.46548913891902827, 'M': 0.3464088618155669, 'L': 0.18626735624915097, 'N': 0.38542411767568263, 'Q': -0.22383835157789417, 'P': -0.48532126156662114, 'S': 0.4532418271352197, 'R': -0.4544277107989695, 'T': 0.3260679087260621, 'W': 0.15010475497333664, 'V': 0.07161428162621108, 'Y': 0.017730490237516758}, 3: {'A': 0.37784956251501206, 'C': -0.4793875343459822, 'E': -0.08902382036802833, 'D': -0.20050905903977564, 'G': -0.06495306821998638, 'F': -0.0593473711437512, 'I': 0.09933541588624818, 'H': 0.03514885697831995, 'K': -0.06116699534123581, 'M': -0.040991791908567006, 'L': -0.0835037295409453, 'N': 0.004148481569409193, 'Q': 0.1711363775698798, 'P': 0.24374294428136922, 'S': 0.2637317211760683, 'R': -0.07428765491674041, 'T': -0.20527317097312292, 'W': -0.30252432168185744, 'V': 0.011206871127331007, 'Y': -0.12549661307016982}, 4: {'A': -0.0037956386025211923, 'C': 0.3425836755273221, 'E': 0.10837411544244627, 'D': -0.10977722569677738, 'G': -0.07429577634177878, 'F': -0.05545998502340835, 'I': 0.03806137859551105, 'H': -0.14042662908810716, 'K': -0.20302056052250367, 'M': 0.1420266411631764, 'L': -0.1064722376037199, 'N': -0.17401409416144922, 'Q': 0.11997316956010566, 'P': -0.04128125080580932, 'S': 0.19196080156121637, 'R': -0.3491766626926857, 'T': 0.48839925104094956, 'W': -0.1944017253597289, 'V': 0.3636334120779938, 'Y': 0.005288600613324553}, 5: {'A': 0.024240456081329534, 'C': -0.05403424525777517, 'E': -0.1372571018612249, 'D': 0.1998462489077772, 'G': 0.03626418238439089, 'F': -0.22385026969299843, 'I': -0.007118698099601649, 'H': 0.18750955312048573, 'K': -0.25639938785996624, 'M': -0.10761999816284834, 'L': -0.07945610243767709, 'N': -0.01336954634949329, 'Q': 0.03388141345430495, 'P': 0.3792426447667947, 'S': 0.14003490093027127, 'R': -0.35413455397288635, 'T': -0.040374278317003756, 'W': 0.17171048536053823, 'V': 0.0144078763897194, 'Y': 0.3456580758311246}, 6: {'A': -0.048764474656820316, 'C': 0.12527155006022642, 'E': 0.018375613094484246, 'D': -0.14355729462432953, 'G': -0.24198435176223246, 'F': 0.5050091762270842, 'I': -0.23409484528144958, 'H': 0.26461313711055967, 'K': -0.29103757239392125, 'M': 0.10614249980976018, 'L': 0.2980575675511649, 'N': -0.12749768289935284, 'Q': -0.05399490523715788, 'P': -0.04337669219017715, 'S': -0.14150596935678242, 'R': -0.3052744786829771, 'T': -0.016085631730931502, 'W': 0.40021875630643317, 'V': -0.12139104413894072, 'Y': 0.04764866712879748}, 7: {'A': -0.2887306170747365, 'C': -0.05546020707654955, 'E': 0.19614530507925096, 'D': -0.11508919814164928, 'G': -0.12096740474241689, 'F': 0.008661990458820913, 'I': 0.06185055066826462, 'H': 0.40470050115085127, 'K': -0.13793373991315833, 'M': -0.19958425618472464, 'L': 0.171498045363748, 'N': 0.09101485071050694, 'Q': 0.31543446904424916, 'P': -0.2442195336322221, 'S': 0.137140741872122, 'R': 0.10414695150169023, 'T': 0.1017840080220198, 'W': -0.10367157482864542, 'V': -0.04055738088903421, 'Y': 0.14643767030214036}, 8: {'A': -0.5774250143899277, 'C': -0.5489099143796122, 'E': -0.5419428470896012, 'D': -0.5395040580297729, 'G': -0.5145904975923917, 'F': 0.4800720103518297, 'I': -0.1826648609200773, 'H': -0.16754627174560963, 'K': -0.594895104992003, 'M': 0.019272566780701248, 'L': -0.43483232548876344, 'N': -0.44121647814689663, 'Q': -0.43432236841340954, 'P': -0.5419428470896012, 'S': -0.5417201571462467, 'R': -0.5221447856642065, 'T': -0.5509579040144501, 'W': 1.9927421718393323, 'V': -0.5507750466260991, 'Y': 0.1924242909646485}, -1: {'slope': 0.11072004198674867, 'intercept': -0.4166818572835276}} | 4,856 | 4,856 | 0.706549 |
9b7a95fc7a817c6bbe96dbb60f85ab236a523c5a | 919 | py | Python | django_requests_logger/admin.py | mabouchama/django-requests-logger | d28bae0312878cb09f355e8793e56b6a7d1e6f72 | [
"MIT"
] | 1 | 2019-02-20T09:08:15.000Z | 2019-02-20T09:08:15.000Z | django_requests_logger/admin.py | mabouchama/django-requests-logger | d28bae0312878cb09f355e8793e56b6a7d1e6f72 | [
"MIT"
] | 4 | 2022-02-15T12:43:15.000Z | 2022-02-22T13:23:10.000Z | django_requests_logger/admin.py | mabouchama/django-requests-logger | d28bae0312878cb09f355e8793e56b6a7d1e6f72 | [
"MIT"
] | 2 | 2022-02-10T06:36:27.000Z | 2022-02-16T06:58:16.000Z | from django.contrib import admin
from django.utils.translation import gettext_lazy as _
from django_requests_logger.models import RequestLog
admin.site.register(RequestLog, RequestLogAdmin)
| 28.71875 | 72 | 0.558215 |
9b7acf5a00804730593a41046352d93d47c45b81 | 4,006 | py | Python | suspect/dag/expressions.py | michaelbynum/suspect | efbfbc4a004d8e167fd4a7247b465b6569818433 | [
"Apache-2.0"
] | 14 | 2018-07-10T20:15:15.000Z | 2022-02-10T09:55:45.000Z | suspect/dag/expressions.py | michaelbynum/suspect | efbfbc4a004d8e167fd4a7247b465b6569818433 | [
"Apache-2.0"
] | 9 | 2019-10-11T15:27:15.000Z | 2021-08-13T12:28:52.000Z | suspect/dag/expressions.py | michaelbynum/suspect | efbfbc4a004d8e167fd4a7247b465b6569818433 | [
"Apache-2.0"
] | 4 | 2019-10-07T14:57:31.000Z | 2021-08-20T19:17:53.000Z | # Copyright 2017 Francesco Ceccon
#
# 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, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from enum import Enum
import abc
import sys
from suspect.math import inf # pylint: disable=no-name-in-module
def is_constant(self):
return False
class Objective(Expression):
is_sink = True
class BoundedExpression(Expression):
class Constraint(BoundedExpression):
is_sink = True
class Variable(BoundedExpression):
is_source = True
class Constant(BoundedExpression):
is_source = True
| 25.0375 | 85 | 0.658512 |
9b7cb7e95cec056b67de9696402880e28ea63ad1 | 5,662 | py | Python | rubybot/cogs/memes.py | lakepower/Ruby-Bot | 332d3f8bc9c8ba2902f67b59e360596778483473 | [
"MIT"
] | null | null | null | rubybot/cogs/memes.py | lakepower/Ruby-Bot | 332d3f8bc9c8ba2902f67b59e360596778483473 | [
"MIT"
] | null | null | null | rubybot/cogs/memes.py | lakepower/Ruby-Bot | 332d3f8bc9c8ba2902f67b59e360596778483473 | [
"MIT"
] | null | null | null | import requests
import bs4
import re
import random
import codecs
import os
from discord.ext import commands
from discord.ext.commands import BucketType
from cogs.utils import checks
path_qaz = os.path.join(os.getcwd(), 'files', 'qaz.txt')
path_riko = os.path.join(os.getcwd(), 'files', 'riko_meme')
nsfw = [
"CngcndGUEAAZh8q.jpg", "Cnsqi9DUsAAtJG_.jpg", "Cnh5oJHUEAAICHv.jpg"
]
| 33.502959 | 132 | 0.575062 |
9b7cbdab3a8e39b99a930ed638449c9b5895940a | 803 | py | Python | src/python_parser/config.py | ttu/cubersensors-iot-azure | cdec18bb99f2316ed65179090f0f66b8791f57ca | [
"Apache-2.0"
] | 1 | 2016-05-29T10:53:09.000Z | 2016-05-29T10:53:09.000Z | src/python_parser/config.py | ttu/cubersensors-iot-azure | cdec18bb99f2316ed65179090f0f66b8791f57ca | [
"Apache-2.0"
] | null | null | null | src/python_parser/config.py | ttu/cubersensors-iot-azure | cdec18bb99f2316ed65179090f0f66b8791f57ca | [
"Apache-2.0"
] | 1 | 2018-03-02T05:19:08.000Z | 2018-03-02T05:19:08.000Z | # keys file is not included in repository
import keys
ROOT = "http://api.cubesensors.com"
AUTH = "%s/auth" % ROOT
RES = "%s/v1" % ROOT
logger_name = "cubesensors_parser"
# Define if should use event hub or insert data straight to db
use_event_hub = False
# CubeSensors config
consumer_key = keys.cube_consumer_key
consumer_secret = keys.cube_consumer_secret
oauth_verifier = keys.cube_oauth_verifier
access_token = keys.cube_access_token
access_token_secret = keys.cube_access_token_secret
# Azure config
servicebus_namespace = keys.azure_servicebus_namespace
eventhub_name = "cubesensor"
eventhub_key_name = "cube_sender"
eventhub_private_key = keys.cubesender_private_key
# Database config
db_user = keys.db_user
db_password = keys.db_password
db_name = keys.db_name
db_server = keys.db_server | 25.09375 | 62 | 0.808219 |
9b7d015d0188b694a8bc8e7bf62510306eb4231c | 375 | py | Python | airflow/ascii.py | dtardoin/airflow | 4d7f413c7db3ffdb1236e7799e4fe647842e5dbd | [
"Apache-2.0"
] | 1 | 2021-03-02T20:08:53.000Z | 2021-03-02T20:08:53.000Z | airflow/ascii.py | dtardoin/airflow | 4d7f413c7db3ffdb1236e7799e4fe647842e5dbd | [
"Apache-2.0"
] | null | null | null | airflow/ascii.py | dtardoin/airflow | 4d7f413c7db3ffdb1236e7799e4fe647842e5dbd | [
"Apache-2.0"
] | 1 | 2019-05-14T16:19:12.000Z | 2019-05-14T16:19:12.000Z | bug = r"""\
=, .=
=.| ,---. |.=
=.| "-(:::::)-" |.=
\\__/`-.|.-'\__//
`-| .::| .::|-' Pillendreher
_|`-._|_.-'|_ (Scarabaeus sacer)
/.-| | .::|-.\
// ,| .::|::::|. \\
|| //\::::|::' /\\ ||
/'\|| `.__|__.' ||/'\
^ \\ // ^
/'\ /'\
^ ^
"""
| 23.4375 | 46 | 0.114667 |
9b7e0fc01325c4db573e5b390f7ba040016a6e45 | 11,092 | py | Python | tooldb.py | SolidifiedRay/layout-web-tool | cefba938c1e03ea8da206ec7fb0c6d8a62f1fc1b | [
"MIT"
] | 1 | 2020-04-01T15:05:54.000Z | 2020-04-01T15:05:54.000Z | tooldb.py | SolidifiedRay/layout-web-tool | cefba938c1e03ea8da206ec7fb0c6d8a62f1fc1b | [
"MIT"
] | 42 | 2017-05-23T17:19:19.000Z | 2021-04-26T12:28:47.000Z | tooldb.py | SolidifiedRay/layout-web-tool | cefba938c1e03ea8da206ec7fb0c6d8a62f1fc1b | [
"MIT"
] | 7 | 2017-05-04T02:13:07.000Z | 2020-07-09T10:56:03.000Z | """
<Program Name>
tooldb.py
<Author>
Lukas Puehringer <lukas.puehringer@nyu.edu>
<Started>
June 12, 2017
<Copyright>
See LICENSE for licensing information.
<Purpose>
A basic collection of software supply chain tools in four categories
- vcs (version control systems)
- building
- qa (quality assurance)
- package (packaging)
The tools are presented to the user on the different pages of the web wizard
as options to choose from to define a custom supply chain
TODO:
- Update! Some of the tools might be not used at all while other popular
tools are missing
- Clean up! Common commands, logo, ...
"""
COLLECTION = {
"vcs": [{
"type": "",
"prog_lang": "",
"name": "Git",
"logo": "https://git-scm.com/images/logos/downloads/Git-Icon-1788C.png",
"cmd": "git clone <repo>"
}, {
"type": "",
"prog_lang": "",
"name": "SVN",
"logo": "https://subversion.apache.org/images/svn-square.jpg",
"cmd": "svn checkout <repo>"
}, {
"type": "",
"prog_lang": "",
"name": "Mercurial",
"logo": "https://www.mercurial-scm.org/logo-droplets-200.png",
"cmd": "hg clone <repo>"
}, {
"type": "",
"prog_lang": "",
"name": "GNU Bazaar ",
"logo": "http://bazaar.canonical.com/bzricons/bazaar-logo.png",
"cmd": "bzr branch <remote repo> <local repo>"
}, {
"type": "",
"prog_lang": "",
"name": "Monotone",
"logo": "https://www.monotone.ca/res/logo.png",
"cmd": "mtn --db=<db> sync <repo>"
}, {
"type": "",
"prog_lang": "",
"name": "Fossil",
"logo": "https://www.fossil-scm.org/index.html/doc/trunk/www/fossil3.gif",
"cmd": "fossil clone <repo>"
}, {
"type": "",
"prog_lang": "",
"name": "Darcs",
"logo": "http://darcs.net/img/logos/logo.png",
"cmd": "darcs clone <repo>"
}, {
"type": "",
"prog_lang": "",
"name": "CVS",
"logo": "",
"cmd": "cvs co <repo>"
}, {
# "type": "",
# "prog_lang": "",
# "name": "AccuRev",
# "logo": "https://pbs.twimg.com/profile_images/378800000092420461/aeab81f94d12ea387f7cae8868892112_400x400.png",
# "cmd": "accurev mkstream -s <stream> -b <backing-stream>"
# }, {
# "type": "",
# "prog_lang": "",
# "name": "Veracity",
# "logo": "https://discoversdkcdn.azureedge.net/runtimecontent/companyfiles/5875/3191/thumbnail.png",
# "cmd": ""
# }, {
# "type": "",
# "prog_lang": "",
# "name": "ArX",
# "logo": "https://arxequity.com/wp-content/themes/arx/img/logo_big_blue.png",
# "cmd": "arx make-archive ArchiveName RepositoryDirectory"
# }, {
"type": "",
"prog_lang": "",
"name": "BitKeeper",
"logo": "http://www.bitkeeper.org/man/BitKeeper_SN_Blue.png",
"cmd": "bk clone <repo>"
# }, {
# "type": "",
# "prog_lang": "",
# "name": "SVK",
# "logo": "",
# "cmd": "svk commit [PATH\u2026]"
# }, {
# "type": "",
# "prog_lang": "",
# "name": "Plastic SCM",
# "logo": "https://pbs.twimg.com/profile_images/378800000542266610/114e3495e712c5bc736970326ecfb9f2_400x400.png",
# "cmd": "cm mkwk [name]"
# }, {
# "type": "",
# "prog_lang": "",
# "name": "Team Foundation Server",
# "logo": "https://szul.blob.core.windows.net/images/team-foundation-server-2015-header.png",
# "cmd": "tf get [itemspec]"
}],
"building": [{
"type": "make_based",
"prog_lang": "",
"logo": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/35/Tux.svg/150px-Tux.svg.png",
"name": "make",
"cmd": "make [-einpqrst] [-f makefile]... [-k|-S] [macro=value...] [target_name...]"
}, {
"type": "build_script_generation",
"prog_lang": "",
"logo": "",
"name": "configure",
"cmd": "./configure"
}, {
"type": "non_make_based",
"prog_lang": "Java, C, C++",
"logo": "http://antinstaller.sourceforge.net/manual/images/ant_logo_large.gif",
"name": "Apache ANT",
"cmd": "install, init, all"
}, {
"type": "non_make_based",
"prog_lang": "",
"logo": "http://www.scala-sbt.org/assets/typesafe_sbt_svg.svg",
"name": "sbt",
"cmd": "compile"
}, {
"type": "non_make_based",
"prog_lang": "MS Visual Studio, C++",
"logo": "http://www.eitcafe.com/wp-content/uploads/2016/07/msbuild.jpg",
"name": "MS Build",
"cmd": "MSBuild.exe MyProj.proj /property:Configuration=Debug , cl /EHsc hello.cpp"
}, {
"type": "non_make_based",
"prog_lang": "Ruby",
"logo": "",
"name": "Rake",
"cmd": "rake"
}, {
"type": "",
"prog_lang": "XML(Project Object Model)",
"logo": "https://maven.apache.org/images/maven-logo-black-on-white.png",
"name": "Maven",
"cmd": "mvn compile"
}, {
"type": "non_make_based",
"prog_lang": "Python",
"logo": "http://scons.org/images/SCons.png",
"name": "Scons",
"cmd": "scons foo.out"
}],
"qa": [{
"type": "Unit Testing",
"prog_lang": "C",
"name": "Check",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "C",
"name": "AceUnit",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "C#",
"name": "csUnit",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "C#",
# "name": "Visual Studio Unit Testing Framework",
"name": "Visual Studio",
"logo": "http://www.qatestingtools.com/sites/default/files/tools_shortcuts/Visual%20Studio%20Unite%20Testing%20Framework%20150.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "C++",
# "name": "Parasoft C/C++test",
"name": "Parasoft",
"logo": "https://discoversdkcdn.azureedge.net/runtimecontent/companyfiles/5703/1899/thumbnail.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "C++",
"name": "CppUnit",
"logo": "http://www.howcsharp.com/img/0/9/cppunit-300x225.jpg",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Haskell",
"name": "HUnit",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Haskell",
"name": "QuickCheck",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Java",
"name": "JUnit",
"logo": "http://www.swtestacademy.com/wp-content/uploads/2015/11/Junit_Logo.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Java",
"name": "Jtest",
"logo": "http://www.bj-zhzt.com/datacache/pic/390_260_b91e82190f00f190d60d78bf53f6352b.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "JavaScript",
"name": "Jasmine",
"logo": "https://upload.wikimedia.org/wikipedia/en/thumb/2/22/Logo_jasmine.svg/1028px-Logo_jasmine.svg.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "JavaScript",
"name": "Unit.js",
"logo": "https://upload.wikimedia.org/wikipedia/en/e/ec/Unit_JS_logo.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "PHP",
"name": "SimpleTest",
"logo": "http://www.simpletest.org/images/simpletest-logo.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "PHP",
"name": "PHPUnit",
"logo": "http://4.bp.blogspot.com/-xrvHPUBqc7Y/Ucxe5ZYDVYI/AAAAAAAAAVE/cXtFm0NcE9A/s500/logo.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Python",
"name": "unittest",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Python",
"name": "doctest",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "R",
"name": "RUnit",
"logo": "",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "R",
"name": "testthat",
"logo": "https://d21ii91i3y6o6h.cloudfront.net/gallery_images/from_proof/13597/small/1466619792/rstudio-hex-testthat.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Scala",
"name": "ScalaTest",
"logo": "http://media.tumblr.com/ec3c87095fe8a21216c516606afffdcc/tumblr_inline_mtskzebUcv1s17bu5.jpg",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "Scala",
"name": "ScUnit",
"logo": "",
"cmd": ""
}, {
"type": "Continuous Integration",
"prog_lang": "all",
"name": "Travis CI",
"logo": "https://cdn.travis-ci.com/images/logos/TravisCI-Mascot-1-20feeadb48fc2492ba741d89cb5a5c8a.png",
"cmd": ""
}, {
"type": "Continuous Integration",
"prog_lang": "Java",
"name": "Jenkins",
"logo": "https://www.cloudbees.com/sites/default/files/Jenkins_8.png",
"cmd": ""
}, {
"type": "Continuous Integration",
"prog_lang": "Java",
"name": "TeamCity",
"logo": "http://workingwithdevs.com/wp-content/uploads/2014/05/TeamCity-logo.png",
"cmd": ""
}, {
"type": "Continuous Integration",
"prog_lang": "all",
"name": "Bamboo",
"logo": "https://www.vectorcast.com/sites/default/themes/vectorsoftware/images/Bamboo-logo_clipped.png",
"cmd": ""
}, {
"type": "Continuous Integration",
"prog_lang": "all",
"name": "Codeship",
"logo": "http://rixrix.github.io/ci-talk-codeship/images/logo_codeship_colour.png",
"cmd": ""
}, {
"type": "Continuous Integration",
"prog_lang": "all",
"name": "CircleCI",
"logo": "https://circleci.com/circleci-logo-stacked-fb.png",
"cmd": ""
}, {
"type": "Continuous Integration",
"prog_lang": "all",
"name": "Buildbot",
"logo": "https://buildbot.net/img/nut.png",
"cmd": ""
}, {
"type": "Linting",
"prog_lang": "Python",
"name": "Pylint",
"logo": "https://carlchenet.com/wp-content/uploads/2013/08/pylint-logo.png",
"cmd": ""
}, {
"type": "Linting",
"prog_lang": "Python",
"name": "Flake8",
"logo": "",
"cmd": ""
}, {
"type": "Linting",
"prog_lang": "Python",
"name": "PyChecker",
"logo": "",
"cmd": ""
}, {
"type": "Linting",
"prog_lang": "Java",
"name": "Checkstyle",
"logo": "http://checkstyle.sourceforge.net/images/header-checkstyle-logo.png",
"cmd": ""
}, {
"type": "Linting",
"prog_lang": "Java",
"name": "Coverity",
"logo": "https://2015.appsecusa.org/c/wp-content/uploads/2014/07/coveritylogo.png",
"cmd": ""
}, {
"type": "Linting",
"prog_lang": "C/C++",
"name": "Lint",
"logo": "",
"cmd": ""
}, {
"type": "Linting",
"prog_lang": "C/C++",
"name": "Cppcheck",
"logo": "https://cdn.portableapps.com/CppcheckPortable_128.png",
"cmd": ""
}, {
"type": "Unit Testing",
"prog_lang": "C",
"name": "Check",
"logo": "",
"cmd": ""
}, ],
"package": [{
"type": "",
"prog_lang": "",
"logo": "",
"name": "Tar",
"cmd": "tar -cvf afiles.tar file1 file2 file3"
}, {
"type": "",
"prog_lang": "",
"logo": "",
"name": "Zip",
"cmd": ""
}, {
"type": "",
"prog_lang": "",
"logo": "",
"name": "Wheel",
"cmd": "python setup.py bdist_wheel"
}, {
"type": "",
"prog_lang": "",
"logo": "",
"name": "MSI",
"cmd": ""
}]
} | 26.857143 | 136 | 0.542102 |
9b7e283a083204b48c0d43c9af36980bb2c2c080 | 811 | py | Python | operations/constant.py | anon-cand/nexpreval | e033bb9f5f25c74c44d0eb29748bf48193c185ae | [
"MIT"
] | null | null | null | operations/constant.py | anon-cand/nexpreval | e033bb9f5f25c74c44d0eb29748bf48193c185ae | [
"MIT"
] | null | null | null | operations/constant.py | anon-cand/nexpreval | e033bb9f5f25c74c44d0eb29748bf48193c185ae | [
"MIT"
] | null | null | null | from operations.operation import Operation
| 23.852941 | 63 | 0.588163 |
9b7e3f441634f0a952e1cc4ac8faf39f1d5c0e8a | 3,587 | py | Python | flask_tutorial/marshmallow_demo/nesting_schemas.py | ftconan/python3 | eb63ba33960072f792ecce6db809866b38c402f8 | [
"MIT"
] | 1 | 2018-12-19T22:07:56.000Z | 2018-12-19T22:07:56.000Z | marshmallow_demo/nesting_schemas.py | ftconan/flask-tutorial | d5164c93b5e6a6e3d2b8980e4b846adb7cb21aee | [
"MIT"
] | 12 | 2020-03-14T05:32:26.000Z | 2022-03-12T00:08:49.000Z | marshmallow_demo/nesting_schemas.py | ftconan/flask-tutorial | d5164c93b5e6a6e3d2b8980e4b846adb7cb21aee | [
"MIT"
] | 1 | 2018-12-19T22:08:00.000Z | 2018-12-19T22:08:00.000Z | # coding=utf-8
"""
@author: magician
@date: 2018/9/13
"""
import datetime as dt
from marshmallow import Schema, fields, pprint
if __name__ == '__main__':
user = User(name='Monty', email='monty@python.org')
blog = Blog(title='Something Completely Different', author=user)
result = BlogSchema().dump(blog)
pprint(result)
# specifying which fields to nest
schema = BlogSchema2()
result = schema.dump(blog)
pprint(result)
# nest using dot delimiters
schema = SiteSchema(only=['blog.author.email'])
site = {
'blog': {
'author': {'email': u'monty@python.org'}
}
}
result = schema.dump(site)
pprint(result)
# only value deserialized
# new_user = {
# 'name': 'Steve',
# 'email': 'steve@example.com',
# 'friends': ['Mike', 'Joe']
# }
# serialized_data = UserSchema().dump(new_user)
# pprint(serialized_data)
# deserialized_data = UserSchema().load(result)
# pprint(deserialized_data)
# two-way nesting
# author = Author(name='William Faulkner')
# book = Book(title='As I Lay Dying', author=author)
# book_result = BookSchema().dump(book)
# pprint(book_result, indent=2)
# {
# "id": 124,
# "title": "As I Lay Dying",
# "author": {
# "id": 8,
# "name": "William Faulkner"
# }
# }
# author_result = AuthorSchema().dump(author)
# pprint(author_result, indent=2)
# {
# "id": 8,
# "name": "William Faulkner",
# "books": [
# {
# "id": 124,
# "title": "As I Lay Dying"
# }
# ]
# }
# nesting a schema within itself
user = User('Steve', 'steve@example.com')
user.friends.append(User('Mike', 'mike@example.com'))
user.friends.append(User('Joe', 'joe@example.com'))
user.employer = User('Dirk', 'dirk@example.com')
result = UserSchema().dump(user)
pprint(result, indent=2)
| 23.444444 | 74 | 0.583496 |
9b7ec91f09b0e08306d5eb9d01d89bc063dc7870 | 3,906 | py | Python | integration_tests/util/generate_scene.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | 1,577 | 2017-05-22T14:22:00.000Z | 2022-03-31T02:03:25.000Z | integration_tests/util/generate_scene.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | 933 | 2017-05-09T20:25:02.000Z | 2022-03-31T10:22:59.000Z | integration_tests/util/generate_scene.py | monocilindro/raster-vision | fc181a6f31f085affa1ee12f0204bdbc5a6bf85a | [
"Apache-2.0"
] | 336 | 2017-05-15T16:30:44.000Z | 2022-03-28T06:19:33.000Z | import random
import click
import numpy as np
import rasterio
from rasterio.transform import from_origin
from rastervision.core.box import Box
from rastervision.data import (RasterioCRSTransformer, ObjectDetectionLabels,
ObjectDetectionGeoJSONStore)
from rastervision.core.class_map import (ClassItem, ClassMap)
if __name__ == '__main__':
generate_scene()
| 33.965217 | 79 | 0.616999 |
9b7f4ac026f327923c4f012b100b9d4fe6b0b3e2 | 148 | py | Python | examples/test_hanzi_dict.py | smilelight/lightDict | bd21afd90777489b6a62b9f6954f0d24c3f772d1 | [
"Apache-2.0"
] | 4 | 2020-01-15T09:54:40.000Z | 2020-12-13T09:10:25.000Z | examples/test_hanzi_dict.py | smilelight/lightDict | bd21afd90777489b6a62b9f6954f0d24c3f772d1 | [
"Apache-2.0"
] | null | null | null | examples/test_hanzi_dict.py | smilelight/lightDict | bd21afd90777489b6a62b9f6954f0d24c3f772d1 | [
"Apache-2.0"
] | 1 | 2021-05-28T09:40:14.000Z | 2021-05-28T09:40:14.000Z | from lightdict import HanziDict
hanzi_dic = HanziDict(r'D:\Data\NLP\corpus\words\hanzi.csv')
print('' in hanzi_dic)
x = hanzi_dic['']
print(x)
| 16.444444 | 60 | 0.72973 |
9b814e62cd1712261791628b00ae51e5874b229d | 883 | py | Python | src/quill/fold/wire/html_util.py | spin-systems/quill | b210f840e228295e41feaf4ff79f2cc8bd96889d | [
"MIT"
] | null | null | null | src/quill/fold/wire/html_util.py | spin-systems/quill | b210f840e228295e41feaf4ff79f2cc8bd96889d | [
"MIT"
] | 14 | 2020-11-22T09:59:08.000Z | 2021-11-02T16:05:35.000Z | src/quill/fold/wire/html_util.py | spin-systems/quill | b210f840e228295e41feaf4ff79f2cc8bd96889d | [
"MIT"
] | null | null | null | from bs4 import Tag
__all__ = ["CustomHtmlTag", "Attrs", "PartialAttrs"]
######## General utility classes for tags and attrs
| 30.448276 | 81 | 0.682899 |
9b81731e40409f7877598e1a56186915df1cedd5 | 573 | py | Python | pycess/wsgi.py | pycess/pycess | 07fa4cdd59fff5d51686bd6a769d78ece38a41d5 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2015-07-07T02:36:12.000Z | 2015-07-07T02:36:12.000Z | pycess/wsgi.py | pycess/pycess | 07fa4cdd59fff5d51686bd6a769d78ece38a41d5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | pycess/wsgi.py | pycess/pycess | 07fa4cdd59fff5d51686bd6a769d78ece38a41d5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | """
WSGI config for pycess project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/dev/howto/deployment/wsgi/
"""
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "pycess.settings")
from django.core.wsgi import get_wsgi_application
application = get_wsgi_application()
import pycess.settings
if hasattr(pycess.settings, 'USE_DJ_STATIC') and pycess.settings.USE_DJ_STATIC:
from dj_static import Cling
application = Cling(get_wsgi_application())
| 26.045455 | 79 | 0.788831 |
9b821c976ee4f99cdb762f5c8e9e17a0905d593c | 321 | py | Python | Problem Solving/Algorithms/Introduction to Nim Game.py | Muntaha-Islam0019/HackerRank-Solutions | caa687aab67461aba69026d3bdc44b62c1dec1c9 | [
"MIT"
] | null | null | null | Problem Solving/Algorithms/Introduction to Nim Game.py | Muntaha-Islam0019/HackerRank-Solutions | caa687aab67461aba69026d3bdc44b62c1dec1c9 | [
"MIT"
] | null | null | null | Problem Solving/Algorithms/Introduction to Nim Game.py | Muntaha-Islam0019/HackerRank-Solutions | caa687aab67461aba69026d3bdc44b62c1dec1c9 | [
"MIT"
] | null | null | null | from functools import reduce
games = int(input())
for game in range(games):
number_of_piles = int(input())
pile = list(map(int, input().rstrip().split()))
result = reduce((lambda x, y: x ^ y), pile)
# result = len(pile) % 2 [wont work on test case 2]
print('Second' if result == 0 else 'First')
| 21.4 | 55 | 0.616822 |
9b82673b26c46b4b26d95c88f868cace6cd8a642 | 294 | py | Python | flows/statestore/tests/django_tests.py | sergioisidoro/django-flows | 326baa3e216a15bd7a8d13b2a09ba9752e250dbb | [
"BSD-2-Clause"
] | 104 | 2015-01-05T14:29:16.000Z | 2021-11-08T11:20:24.000Z | flows/statestore/tests/django_tests.py | sergioisidoro/django-flows | 326baa3e216a15bd7a8d13b2a09ba9752e250dbb | [
"BSD-2-Clause"
] | 4 | 2015-09-23T11:14:50.000Z | 2020-03-21T06:08:34.000Z | flows/statestore/tests/django_tests.py | sergioisidoro/django-flows | 326baa3e216a15bd7a8d13b2a09ba9752e250dbb | [
"BSD-2-Clause"
] | 16 | 2015-01-05T10:13:44.000Z | 2022-02-14T05:21:23.000Z |
import unittest
from flows.statestore.django_store import StateStore
from flows.statestore.tests.utils import store_state_works
| 24.5 | 58 | 0.765306 |
9b830f6c20e0821da065a595dcea7c80e7322901 | 4,238 | py | Python | tests/test_ann.py | mtezzele/EZyRB | 30e6db72d444a3a1713f0af63ceb0585350a7ecf | [
"MIT"
] | 39 | 2016-06-30T08:21:47.000Z | 2022-03-18T16:05:30.000Z | tests/test_ann.py | mtezzele/EZyRB | 30e6db72d444a3a1713f0af63ceb0585350a7ecf | [
"MIT"
] | 38 | 2016-09-21T08:45:27.000Z | 2022-03-07T13:48:59.000Z | tests/test_ann.py | mtezzele/EZyRB | 30e6db72d444a3a1713f0af63ceb0585350a7ecf | [
"MIT"
] | 47 | 2016-05-20T12:44:39.000Z | 2022-03-05T05:01:19.000Z | import numpy as np
import torch.nn as nn
from torch import Tensor, from_numpy
from unittest import TestCase
from ezyrb import ANN
np.random.seed(17)
| 30.710145 | 82 | 0.558046 |
9b838f908501c804e2f543284ab15cfe75ddca4d | 380 | py | Python | ipub/params.py | ms8r/scriv2epub | a8d4ee7abc5b5bef654e40fec25605b34ed43207 | [
"MIT"
] | 8 | 2016-01-15T21:12:50.000Z | 2021-10-17T18:47:40.000Z | ipub/params.py | ms8r/scriv2epub | a8d4ee7abc5b5bef654e40fec25605b34ed43207 | [
"MIT"
] | null | null | null | ipub/params.py | ms8r/scriv2epub | a8d4ee7abc5b5bef654e40fec25605b34ed43207 | [
"MIT"
] | null | null | null | import os.path
_PATH_PREFIX = os.path.dirname(os.path.realpath(__file__))
_TEMPLATE_PATH = os.path.join(_PATH_PREFIX, 'tmpl')
_TEMPLATE_EXT = '.jinja'
_EPUB_SKELETON_PATH = os.path.join(_PATH_PREFIX, 'epub')
_BASIC_CH_PAR_STYLE = 'par-indent'
_FIRST_CH_PAR_STYLE = 'texttop'
_DROP_CAP_STYLE = 'dropcap'
_CLEAR_STYLE = 'clearit'
_IN_PG_SEC_BREAK_STYLE = 'center-par-tb-space'
| 31.666667 | 59 | 0.776316 |
9b84b07bfeb0b1498473bf71e8cf00668429868a | 1,138 | py | Python | datastruct/TreeNode.py | cocobear/LeetCode-in-Python | b4ecd5cb7122467ee479f38497faaabb17e6025e | [
"MIT"
] | null | null | null | datastruct/TreeNode.py | cocobear/LeetCode-in-Python | b4ecd5cb7122467ee479f38497faaabb17e6025e | [
"MIT"
] | null | null | null | datastruct/TreeNode.py | cocobear/LeetCode-in-Python | b4ecd5cb7122467ee479f38497faaabb17e6025e | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
print(TreeNode.constructTree([3,9,20,None,None,15,7]))
print(TreeNode.constructTree([2,3,4]))
| 27.756098 | 63 | 0.51406 |
9b88125439c00c982850039874ca9e2e40963ded | 17,936 | py | Python | src/test_quality_measures.py | hackalog/dimension_reduction | 18c54256f4b1f1fbfe0b99e86b6701e708b7c85c | [
"MIT"
] | 1 | 2018-10-22T11:45:45.000Z | 2018-10-22T11:45:45.000Z | src/test_quality_measures.py | hackalog/dimension_reduction | 18c54256f4b1f1fbfe0b99e86b6701e708b7c85c | [
"MIT"
] | null | null | null | src/test_quality_measures.py | hackalog/dimension_reduction | 18c54256f4b1f1fbfe0b99e86b6701e708b7c85c | [
"MIT"
] | null | null | null | import hypothesis.strategies as st
from hypothesis.extra.numpy import arrays
from hypothesis import given
import unittest
import numpy as np
from sklearn.base import BaseEstimator
import inspect
import src.quality_measures as qm
from .logging import logger
# old functions to test against while refactoring
def old_centering_matrix(N):
'''
Returns the N x N centering matrix.
'''
I_N = np.identity(N)
one_N = np.matrix(np.ones(N)).transpose()
J = I_N - one_N * one_N.transpose()/N
return J
def old_doubly_center_matrix(matrix):
'''
Doubly center the matrix. That is, -J * matrix * J.
Note that this matrix must be square.
'''
m, n = matrix.shape
assert m == n, "Matrix must be square"
J = old_centering_matrix(m)
new_matrix = -J * matrix * J
return new_matrix / 2
def knn_to_point_untrustworthiness(high_knn, low_knn, n_neighbors=None,
high_rank=None):
'''
Given the n_neighbors nearest neighbors in high space and low space,
together with the rank matrix, compute the value of
"untrustworthiness" of a point (this is the factor that a point
contributes negatively to trustworthiness).
'''
if n_neighbors is None or high_rank is None:
raise ValueError("n_neighbors and high_rank are required")
point_scores = []
N = high_knn.shape[0]
G_K = qm._trustworthiness_normalizating_factor(n_neighbors, N)
for i, low in enumerate(low_knn):
trust_indices = set(low).difference(set(high_knn[i]))
score = 0
for j in trust_indices:
score += (high_rank[i, j] - n_neighbors) * 2 / G_K
point_scores.append(score)
return np.array(point_scores)
def old_point_untrustworthiness(high_distances=None, low_distances=None,
high_data=None, low_data=None,
metric='euclidean', n_neighbors=None):
'''
Given high/low distances or data, compute the value of
"untrustworthiness" of a point (this is the factor that a point
contributes negatively to trustworthiness).
'''
hd, ld, _ = qm.pairwise_distance_differences(high_distances=high_distances,
low_distances=low_distances,
high_data=high_data,
low_data=low_data,
metric=metric)
if n_neighbors is None:
raise ValueError("n_neighbors is required")
high_rank = qm.rank_matrix(hd)
low_rank = qm.rank_matrix(ld)
high_knn = qm.rank_to_knn(high_rank, n_neighbors=n_neighbors)
low_knn = qm.rank_to_knn(low_rank, n_neighbors=n_neighbors)
point_scores = knn_to_point_untrustworthiness(high_knn, low_knn,
n_neighbors=n_neighbors,
high_rank=high_rank)
return point_scores
# Start of tests
# TODO: Test various input styles.
class TestEncoding(unittest.TestCase):
def test_point_untrustworthiness_input(self):
with self.assertRaises(ValueError):
qm.point_untrustworthiness()
if __name__ == '__main__':
unittest.main()
| 42.301887 | 79 | 0.575992 |
9b884dfe98e3224d03e56b0ff9073cf479be11aa | 797 | py | Python | addons/odoo_elasticsearch/models/trend_search_mapping.py | marionumza/vocal_v12 | 480990e919c9410903e06e7813ee92800bd6a569 | [
"Unlicense"
] | null | null | null | addons/odoo_elasticsearch/models/trend_search_mapping.py | marionumza/vocal_v12 | 480990e919c9410903e06e7813ee92800bd6a569 | [
"Unlicense"
] | null | null | null | addons/odoo_elasticsearch/models/trend_search_mapping.py | marionumza/vocal_v12 | 480990e919c9410903e06e7813ee92800bd6a569 | [
"Unlicense"
] | 1 | 2021-05-05T07:59:08.000Z | 2021-05-05T07:59:08.000Z | import logging
_logger = logging.getLogger(__name__)
from odoo import api, fields, models
| 30.653846 | 99 | 0.667503 |
9b897b3e2e2a162da4ba6ef2e1e00007c3d0d7d3 | 25,363 | py | Python | src/python/twitter/common/app/application.py | wfarner/commons | 42988a7a49f012665174538cca53604c7846ee86 | [
"Apache-2.0"
] | 1 | 2019-12-20T14:13:27.000Z | 2019-12-20T14:13:27.000Z | src/python/twitter/common/app/application.py | wfarner/commons | 42988a7a49f012665174538cca53604c7846ee86 | [
"Apache-2.0"
] | null | null | null | src/python/twitter/common/app/application.py | wfarner/commons | 42988a7a49f012665174538cca53604c7846ee86 | [
"Apache-2.0"
] | 1 | 2019-12-20T14:13:29.000Z | 2019-12-20T14:13:29.000Z | # ==================================================================================================
# Copyright 2011 Twitter, Inc.
# --------------------------------------------------------------------------------------------------
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this work except in compliance with the License.
# You may obtain a copy of the License in the LICENSE file, or at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==================================================================================================
from __future__ import print_function
__author__ = 'Dave Buchfuhrer, Brian Wickman'
try:
import ConfigParser
except ImportError:
import configparser as ConfigParser
import atexit
import copy
import inspect
import optparse
import os
import shlex
import sys
import threading
from collections import defaultdict, deque
from functools import partial
from twitter.common import options
from twitter.common.app.module import AppModule
from twitter.common.app.inspection import Inspection
from twitter.common.lang import Compatibility
from twitter.common.process import daemonize
from twitter.common.util import topological_sort
| 34.791495 | 101 | 0.674644 |
9b89b21d0ec82cd3eb4f531c62145aac5544814d | 3,838 | py | Python | nas/gui/end_registration_window.py | RolandZitny/BC-NAS | df2b1c643e5dce3b48c72026b4f83f895f33b822 | [
"MIT"
] | null | null | null | nas/gui/end_registration_window.py | RolandZitny/BC-NAS | df2b1c643e5dce3b48c72026b4f83f895f33b822 | [
"MIT"
] | null | null | null | nas/gui/end_registration_window.py | RolandZitny/BC-NAS | df2b1c643e5dce3b48c72026b4f83f895f33b822 | [
"MIT"
] | null | null | null | import base64
import os
import matplotlib.pyplot as plt
import cv2
import numpy as np
from PyQt5 import uic
from PyQt5 import QtWidgets
from PyQt5 import QtMultimedia
from PyQt5 import QtMultimediaWidgets
from PyQt5.QtGui import QImage, QPixmap
from PyQt5.QtWidgets import QDesktopWidget
from nas.gui.login_stimulation_window import LoginStimulationPresentation
import config
directory_path = os.path.dirname(os.path.abspath(__file__))
ui_path = os.path.join(directory_path, "designs" + os.sep + "end_registration_window.ui")
Ui_RegWindow, QtBaseClass = uic.loadUiType(ui_path) # Load .ui file.
| 32.252101 | 94 | 0.647473 |
9b8af184786b7b838926fd6c07d47b9fd8a6c329 | 445 | py | Python | testing/matplotlib_test.py | deranderemark/CigarTracer | 3f1172683c57dc7f28dd7517132014b23adfff90 | [
"Apache-2.0"
] | null | null | null | testing/matplotlib_test.py | deranderemark/CigarTracer | 3f1172683c57dc7f28dd7517132014b23adfff90 | [
"Apache-2.0"
] | 1 | 2022-02-06T15:50:07.000Z | 2022-02-06T15:50:07.000Z | testing/matplotlib_test.py | deranderemark/CigarTracer | 3f1172683c57dc7f28dd7517132014b23adfff90 | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
# Diagramm und Achsen definieren
fig, ax = plt.subplots()
# Werte fr Tabelle erstellen
table_data=[
["1", 30, 34],
["2", 20, 223],
["3", 33, 2354],
["4", 25, 234],
["5", 12, 929]
]
#Tabelle erstellen
table = ax.table(cellText=table_data, loc='center', colLabels=['SD', 'ID', 'Score'])
# Tabelle ndern
table.set_fontsize(14)
table.scale(1,4)
ax.axis('off')
#Tabelle anzeigen
plt.show()
| 17.8 | 84 | 0.633708 |
9b8bb3b48e86a641ba4d24045654d0c3bccfafdb | 5,242 | py | Python | venv/Lib/site-packages/func_timeout/StoppableThread.py | lijj0812/UIAutoDemo | 3e13380adeb6cf92410676ff7c125dbee598427f | [
"Apache-2.0"
] | 1 | 2021-01-12T14:39:01.000Z | 2021-01-12T14:39:01.000Z | venv/Lib/site-packages/func_timeout/StoppableThread.py | lijj0812/UIAutoDemo | 3e13380adeb6cf92410676ff7c125dbee598427f | [
"Apache-2.0"
] | 2 | 2021-06-16T19:56:35.000Z | 2021-06-16T19:57:49.000Z | venv/Lib/site-packages/func_timeout/StoppableThread.py | lijj0812/UIAutoDemo | 3e13380adeb6cf92410676ff7c125dbee598427f | [
"Apache-2.0"
] | 1 | 2020-09-17T07:56:53.000Z | 2020-09-17T07:56:53.000Z | '''
Copyright (c) 2016, 2017, 2019 Timothy Savannah All Rights Reserved.
Licensed under the Lesser GNU Public License Version 3, LGPLv3. You should have recieved a copy of this with the source distribution as
LICENSE, otherwise it is available at https://github.com/kata198/func_timeout/LICENSE
'''
import os
import ctypes
import threading
__all__ = ('StoppableThread', 'JoinThread')
# vim: set ts=4 sw=4 expandtab :
| 39.119403 | 166 | 0.647844 |
9b8fd2bf80fa07a3bd7f3ddd5254592ae0988fc9 | 190 | py | Python | pics/admin.py | Joseph-Odhiambo/Gallary | f8dfab1149f11de94519afe597fe87f4ed28b9a5 | [
"MIT"
] | 1 | 2021-05-19T12:58:15.000Z | 2021-05-19T12:58:15.000Z | pics/admin.py | HASSAN1A/Gallery | a73bd93bcecbb830b4d676c9e9dd306880cac6f2 | [
"MIT"
] | null | null | null | pics/admin.py | HASSAN1A/Gallery | a73bd93bcecbb830b4d676c9e9dd306880cac6f2 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Image,Areas,Category
# Register your models here.
admin.site.register(Image)
admin.site.register(Areas)
admin.site.register(Category) | 19 | 40 | 0.805263 |
9b902f255bd9d45e07a2e966eeb8f841dbe8fc88 | 1,985 | py | Python | tests/lamvery/cli_test.py | rdtr/lamvery | e9334a0d258c63e6426c7cd320f691b9f21044c1 | [
"MIT"
] | 101 | 2015-11-12T11:29:20.000Z | 2020-05-24T19:26:37.000Z | tests/lamvery/cli_test.py | rdtr/lamvery | e9334a0d258c63e6426c7cd320f691b9f21044c1 | [
"MIT"
] | 45 | 2015-11-13T05:43:18.000Z | 2017-04-27T18:14:49.000Z | tests/lamvery/cli_test.py | marcy-terui/lamvery | e9334a0d258c63e6426c7cd320f691b9f21044c1 | [
"MIT"
] | 22 | 2016-01-26T00:12:57.000Z | 2019-12-13T09:06:43.000Z | # -*- coding: utf-8 -*-
from unittest import TestCase
from mock import Mock, patch
from lamvery.cli import (
main,
init,
build,
configure,
deploy,
encrypt,
encrypt_file,
events,
decrypt,
set_alias,
invoke,
rollback,
api,
generate
)
| 22.816092 | 53 | 0.594458 |
9b906d0ca190514b42e0b5edafba1d709df76a02 | 569 | py | Python | db-test.py | alexolotl/apt-hunt | 25d2a2d565b0b694a8f5e3442ba429ae99688e54 | [
"MIT"
] | null | null | null | db-test.py | alexolotl/apt-hunt | 25d2a2d565b0b694a8f5e3442ba429ae99688e54 | [
"MIT"
] | null | null | null | db-test.py | alexolotl/apt-hunt | 25d2a2d565b0b694a8f5e3442ba429ae99688e54 | [
"MIT"
] | null | null | null | import sqlite3
from util import post_listing_to_slack
from slackclient import SlackClient
import settings
sc = SlackClient(settings.SLACK_TOKEN)
con = sqlite3.connect('listings.db')
# with con:
# con.row_factory = sqlite3.Row
# cur = con.cursor()
# # print("SQLite version: %s" % data)
# cur.execute("SELECT * FROM Listings")
# rows = cur.fetchone()
# for row in rows:
# print(row)
#
# post_listing_to_slack(sc, rows)
# deletes entire table !!!
# with con:
# cur = con.cursor()
# cur.execute("DROP TABLE IF EXISTS Listings")
| 22.76 | 50 | 0.669596 |
9b9103f77dd912b77e605c95f3235abd9dcb9a29 | 15,630 | py | Python | src/utils.py | asrashley/dash-live | 1ffbc57896e4e46855a42af6ef79a1865ebfce55 | [
"Apache-2.0"
] | 2 | 2019-11-02T06:26:29.000Z | 2020-05-15T16:54:20.000Z | src/utils.py | asrashley/dash-live | 1ffbc57896e4e46855a42af6ef79a1865ebfce55 | [
"Apache-2.0"
] | 1 | 2020-01-20T17:20:54.000Z | 2020-01-21T08:38:30.000Z | src/utils.py | asrashley/dash-live | 1ffbc57896e4e46855a42af6ef79a1865ebfce55 | [
"Apache-2.0"
] | null | null | null | #############################################################################
#
# 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, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
#############################################################################
#
# Project Name : Simulated MPEG DASH service
#
# Author : Alex Ashley
#
#############################################################################
import base64
import datetime
import decimal
import io
import json
import math
import os
import re
import time
# A UTC class, see https://docs.python.org/2.7/library/datetime.html#datetime.tzinfo
def dateTimeToUnixEpoch(dt):
""" Convert a dateTime to number of seconds since the Unix epoch.
"""
epoch = datetime.datetime(year=1970, month=1, day=1, tzinfo=UTC())
return (dt - epoch).total_seconds()
def toIsoDateTime(value):
""" Convert a datetime to an ISO8601 formatted dateTime string.
:param value: the dateTime to convert
:returns: an ISO8601 formatted string version of the dateTime
"""
rv = value.isoformat()
if value.tzinfo is None:
rv += 'Z'
else:
# replace +00:00 timezone with Z
rv = re.sub('[+-]00:00$','Z',rv)
return rv
def toIsoDuration(secs):
""" Convert a time (in seconds) to an ISO8601 formatted duration string.
:param secs: the duration to convert, in seconds
:returns: an ISO8601 formatted string version of the duration
"""
if isinstance(secs,basestring):
secs = float(secs)
elif isinstance(secs, datetime.timedelta):
secs = secs.total_seconds()
hrs = math.floor(secs/3600)
rv=['PT']
secs %= 3600
mins = math.floor(secs/60)
secs %= 60
if hrs:
rv.append('%dH'%hrs)
if hrs or mins:
rv.append('%dM'%mins)
rv.append('%0.2fS'%secs)
return ''.join(rv)
date_hacks = [
(re.compile('Apri[^l]'),'Apr '), (re.compile('Sept[^e]'),'Sep '),
(re.compile(r'(\w{3} \d{1,2},? \d{4})\s*-\s*(.*$)'), r'\1 \2' ),
(re.compile(r'(\w{3} \d{1,2}), (\d{4}\s*\d{1,2}:\d{2})'), r'\1 \2' ),
(re.compile(r'(\w{3})-(\d{2})$'), r'\1 \2' ),
(re.compile(r'(.+) ([PCE][SD]?T)$'),r'\1')
]
def parse_date(date, format=None):
"""Try to create a datetime from the given string"""
formats = ["%Y-%m-%d", "%m/%d/%y", "%m/%d/%Y", "%b %Y", "%b %y", "%m/xx/%y",
"%a %b %d %Y", "%B %d %Y %H:%M", "%b %d %Y %H:%M",
"%B %d %Y", "%b %d %Y",'%a %b %d, %Y']
if format is not None:
formats.insert(0,format)
if not isinstance(date, basestring):
date = str(date)
d = date
tz = datetime.timedelta(0)
if re.match('.+\s+ES?T$',date):
tz = datetime.timedelta(hours=5)
elif re.match('.+\s+EDT$',date):
tz = datetime.timedelta(hours=4)
elif re.match('.+\s+PS?T$',date):
tz = datetime.timedelta(hours=8)
elif re.match('.+\s+PDT$',date):
tz = datetime.timedelta(hours=7)
for regex,sub in date_hacks:
d = regex.sub(sub,d)
for f in formats:
try:
rv = datetime.datetime.strptime(d, f)
rv += tz;
return rv
except ValueError:
pass
try:
return time.strptime(date)
except ValueError:
pass
return None
def dateTimeFormat(value, fmt):
""" Format a date using the given format"""
if not value:
return value
if isinstance(value, basestring):
value = parse_date(value)
if value is None:
return value
return value.strftime(fmt)
duration_re = re.compile(r'^PT((?P<hours>\d+)[H:])?((?P<minutes>\d+)[M:])?((?P<seconds>[\d.]+)S?)?$')
def from_isodatetime(date_time):
"""
Convert an ISO formated date string to a datetime.datetime or datetime.timedelta
"""
if not date_time:
return None
if date_time[:2]=='PT':
match = duration_re.match(date_time)
if not match:
raise ValueError(date_time)
hours, minutes, seconds = match.group('hours'), match.group('minutes'), match.group('seconds')
secs = 0
if hours is not None:
secs += int(match.group('hours'))*3600
if minutes is not None:
secs += int(match.group('minutes'))*60
if seconds is not None:
secs += float(match.group('seconds'))
return datetime.timedelta(seconds=secs)
if 'T' in date_time:
try:
return datetime.datetime.strptime(date_time, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=UTC())
except ValueError:
pass
try:
return datetime.datetime.strptime(date_time, "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=UTC())
except ValueError:
return datetime.datetime.strptime(date_time, "%Y-%m-%dT%H:%MZ").replace(tzinfo=UTC())
if not 'Z' in date_time:
try:
return datetime.datetime.strptime(date_time, "%Y-%m-%d")
except ValueError:
return datetime.datetime.strptime(date_time, "%d/%m/%Y")
return datetime.datetime.strptime(date_time, "%H:%M:%SZ").replace(tzinfo=UTC()).time()
def toHtmlString(item, className=None):
"""Converts an object in to a form suitable for rendering in an HTML page.
"""
rv=item
if isinstance(item,dict):
if className:
rv='<table class="%s">'%className
else:
rv='<table>'
for key,val in item.iteritems():
rv.append('<tr><td>%s</td><td>%s</td></tr>'%(str(key),toHtmlString(val)))
rv.append('</table>')
rv = '\n'.join(rv)
elif isinstance(item,(list,tuple)):
rv = []
for val in item:
rv.append(toHtmlString(val))
if item.__class__ == tuple:
rv = ''.join(['(',','.join(rv),')'])
else:
rv = ''.join(['[',','.join(rv),']'])
if className:
rv = '<span class="%s">%s</span>'%(className,rv)
elif isinstance(item,bool):
if className is None:
className=''
rv = '<span class="bool-yes %s">✓</span>'%className if item else '<span class="bool-no %s">✗</span>'%className
else:
if className:
rv = '<span class="%s">%s</span>'%(className,str(rv))
else:
rv = str(rv)
return rv
def flatten(items, convert_numbers=False):
"""Converts an object in to a form suitable for storage.
flatten will take a dictionary, list or tuple and inspect each item in the object looking for
items such as datetime.datetime objects that need to be converted to a canonical form before
they can be processed for storage.
"""
if isinstance(items,dict):
rv={}
else:
rv = []
for item in items:
key = None
if isinstance(items,dict):
key = item
item = items[key]
if hasattr(item, 'toJSON'):
item = item.toJSON(pure=True)
elif isinstance(item,(datetime.date, datetime.datetime,datetime.time)):
item = toIsoDateTime(item)
elif isinstance(item,(datetime.timedelta)):
item = toIsoDuration(item)
elif convert_numbers and isinstance(item,long):
item = '%d'%item
elif isinstance(item,decimal.Decimal):
item = float(item)
elif isinstance(item, basestring):
item = str(item).replace("'","\'")
elif isinstance(item, (list, set, tuple)):
item = flatten(list(item))
elif isinstance(item, dict):
item = flatten(item)
if callable(item):
continue
if key:
rv[key]=item
else:
rv.append(item)
if items.__class__ == tuple:
return tuple(rv)
return rv
def as_python(value):
"""Convert the value into a string of Python code.
The result is suitable for use with eval()
"""
if value is None:
return 'None'
wrap_strings = True
if hasattr(value, 'toJSON'):
value = value.toJSON()
wrap_strings = False
if isinstance(value, (list, tuple)):
items = map(lambda v: as_python(v), list(value))
try:
value = '[{0}]'.format(','.join(items))
except TypeError:
print items
raise
elif isinstance(value, (dict)):
items = []
clz = value.get('_type', None)
for k, v in value.iteritems():
if k == '_type':
continue
if clz is None:
items.append('"{0}": {1}'.format(k, as_python(v)))
else:
items.append('{0}={1}'.format(k, as_python(v)))
if clz is None:
value = '{' + ','.join(items) + '}'
else:
value = '{0}({1})'.format(clz, ','.join(items))
elif wrap_strings and isinstance(value, (basestring)):
if '"' in value:
value = ''.join(["'", value, "'"])
else:
value = ''.join(['"', value, '"'])
elif isinstance(value, (datetime.date, datetime.datetime,datetime.time)):
value = 'utils.from_isodatetime("%s")'%(toIsoDateTime(value))
elif isinstance(value, (datetime.timedelta)):
value = 'utils.from_isodatetime("%s")'%(toIsoDuration(value))
elif isinstance(value, decimal.Decimal):
value = 'decimal.Decimal(%s)'%(value)
else:
value = str(value)
return value
def xmlSafe(value):
"""Convert the given string to a format that is safe for inclusion in an XML document.
"""
return value.replace('&','&')
def scale_timedelta(delta, num, denom):
"""Scale the given timedelta, avoiding overflows"""
secs = num * delta.seconds
msecs = num* delta.microseconds
secs += msecs / 1000000.0
return secs / denom
#
# The following code is from djangoappengine/utils.py
#
try:
from google.appengine.api import apiproxy_stub_map
have_appserver = bool(apiproxy_stub_map.apiproxy.GetStub('datastore_v3'))
on_production_server = have_appserver and not os.environ.get('SERVER_SOFTWARE', '').lower().startswith('devel')
except ImportError:
pass
| 32.63048 | 130 | 0.55675 |
9b9174eb28a0ab4b95d4146848ae09c6b7a36f4f | 1,883 | py | Python | network.py | YanhengWang/Draughts | ad19ccbd3c4fc0defda68c45ed8f2dd14969f2a3 | [
"Apache-2.0"
] | null | null | null | network.py | YanhengWang/Draughts | ad19ccbd3c4fc0defda68c45ed8f2dd14969f2a3 | [
"Apache-2.0"
] | 1 | 2020-10-12T00:33:54.000Z | 2020-10-12T00:33:54.000Z | network.py | YanhengWang/Draughts | ad19ccbd3c4fc0defda68c45ed8f2dd14969f2a3 | [
"Apache-2.0"
] | null | null | null | from utils import PATH_LABEL
from utils import PATH_DATA_FOLDER
import pickle
import torch
import torch.nn as nn
import torch.utils.data as dat
| 27.289855 | 92 | 0.677111 |
9b921382771a3e80faea212dc2044b24ad49e32b | 6,623 | py | Python | src/client/app/__init__.py | ZackPashkin/toloka-kit | 8f650e5d8cdded1949ca633cf78f9b851ce839bb | [
"Apache-2.0"
] | 153 | 2021-02-06T13:41:11.000Z | 2022-03-19T17:51:01.000Z | src/client/app/__init__.py | ZackPashkin/toloka-kit | 8f650e5d8cdded1949ca633cf78f9b851ce839bb | [
"Apache-2.0"
] | 29 | 2021-01-15T12:54:37.000Z | 2022-02-07T07:45:32.000Z | src/client/app/__init__.py | ZackPashkin/toloka-kit | 8f650e5d8cdded1949ca633cf78f9b851ce839bb | [
"Apache-2.0"
] | 17 | 2021-01-29T15:20:04.000Z | 2022-01-30T07:21:03.000Z | __all__ = [
'AppProject',
'App',
'AppItem',
'AppItemsCreateRequest',
'AppBatch',
'AppBatchCreateRequest'
]
import datetime
import decimal
from enum import unique
from typing import Dict, Any, List
from ..primitives.base import BaseTolokaObject
from ..project.field_spec import FieldSpec
from ...util._extendable_enum import ExtendableStrEnum
from ...util._codegen import attribute
| 30.380734 | 118 | 0.653782 |
9b926fbc1417f4ebd631923a6169eb196f0aff02 | 760 | py | Python | WebApp/main/utility/StringUtility.py | georg-wenzel/ml-data-smell-detection | 7dddd401ca1f1a830dfd8b00760659911e5b1086 | [
"MIT"
] | 1 | 2022-03-29T14:46:40.000Z | 2022-03-29T14:46:40.000Z | WebApp/main/utility/StringUtility.py | georg-wenzel/ml-data-smell-detection | 7dddd401ca1f1a830dfd8b00760659911e5b1086 | [
"MIT"
] | null | null | null | WebApp/main/utility/StringUtility.py | georg-wenzel/ml-data-smell-detection | 7dddd401ca1f1a830dfd8b00760659911e5b1086 | [
"MIT"
] | 1 | 2021-06-13T08:24:46.000Z | 2021-06-13T08:24:46.000Z | # Utility functions for Strings (i.e. storing common strings once)
#define common strings
ERR_MISSING_KEY = "The field(s) {0} must be filled in this form."
ERR_INVALID_KEY = "The field '{0}' contains an invalid value."
ERR_UNAUTHORIZED = "The logged in user does not have access to this value: {0}"
MSG_FINISHED_TRAINING = "Your agent {0} has finished training and can now be used."
#define error string for (multiple) column mismatch
#pass tuple of mismatched columns as defined by AgentUtility.dataset_all_columns_match | 54.285714 | 138 | 0.709211 |
9b93e34b4881434ea8a11345bd79b7ea4e4e91b3 | 2,184 | py | Python | lib/python2.7/site-packages/pyami/primefactor.py | leschzinerlab/myami-3.2-freeHand | 974b8a48245222de0d9cfb0f433533487ecce60d | [
"MIT"
] | 6 | 2018-05-10T19:12:53.000Z | 2021-05-19T21:11:56.000Z | pyami/primefactor.py | vosslab/ctfeval | 6cfc648f91c318c3a46a959e4771c3d16d8e741a | [
"Apache-2.0"
] | 1 | 2017-04-15T11:04:39.000Z | 2017-04-17T20:21:53.000Z | pyami/primefactor.py | vossman/ctfeval | 6cfc648f91c318c3a46a959e4771c3d16d8e741a | [
"Apache-2.0"
] | 1 | 2019-09-05T20:58:37.000Z | 2019-09-05T20:58:37.000Z | #!/usr/bin/env python
import sys
import math
maxprime = 12
twomult = 2**2
#====================
def prime_factors(n):
""" Return the prime factors of the given number. """
# < 1 is a special case
if n <= 1:
return [1]
factors = []
lastresult = n
while True:
if lastresult == 1:
break
c = 2
while True:
if lastresult % c == 0:
break
c += 1
factors.append(c)
lastresult /= c
return factors
#====================
#====================
#====================
#====================
#====================
#====================
def isGoodPrime(num=4, power_of_4_rule=True):
"""
Boxsize rules:
(1) no prime factor greater than 11
(2) if greater than 4^x, must be multiple of 2^x,
"""
#print numa
if power_of_4_rule:
if num % 4 != 0:
return False
### get the number of powers of 4 in number
power = int(math.floor(math.log(float(num))/math.log(4.0)))
### check to make sure number is divisible by 2 to that power
mod = int(2**power)
if num % mod != 0:
return False
### get prime factors and find maximum
factors = prime_factors(num)
if max(factors) > maxprime:
return False
return True
#====================
#====================
if __name__ == "__main__":
if len(sys.argv) > 1:
n = int(sys.argv[1])
factors = prime_factors(n)
print n, factors
prev, next = getPrimeLimits(n)
print "Use %d or %d instead"%(prev,next)
else:
print getAllPrimes()
| 18.991304 | 63 | 0.594322 |
9b94d42c4e5c72f5294c49e1d55e12f33a9b3855 | 2,027 | py | Python | visualization/draw.py | DougMHu/roomba-obstacle-mapping | 019b6108c1967c7daabe7b4795cfac7ef0e79cf7 | [
"MIT"
] | 3 | 2018-05-26T20:41:27.000Z | 2020-10-19T12:40:42.000Z | visualization/draw.py | DougMHu/roomba-obstacle-mapping | 019b6108c1967c7daabe7b4795cfac7ef0e79cf7 | [
"MIT"
] | null | null | null | visualization/draw.py | DougMHu/roomba-obstacle-mapping | 019b6108c1967c7daabe7b4795cfac7ef0e79cf7 | [
"MIT"
] | 1 | 2017-01-31T09:47:21.000Z | 2017-01-31T09:47:21.000Z | # MIT License
# Copyright (c) 2016 Aashiq Ahmed, Shuai Chen, Meha Deora, Douglas Hu
# 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, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import turtle
turtle.setup(800,800)
wn = turtle.Screen()
doug = turtle.Turtle()
# Draw a grid
length = 5
width = 2
step = 50
#draw_row(width,[1,0])
draw_matrix([[0,1],[1,1]])
# doug.left(90)
# doug.fd((width-0.5)*step)
# doug.right(90)
# doug.up()
# doug.fd(0.5*step)
# doug.down()
# doug.pensize(step)
# doug.fd((length-1)*step)
turtle.getscreen()._root.mainloop()
#doug.fd(length*step)
| 25.658228 | 80 | 0.716823 |
9b96be5064867858493bac891020397805ad69fe | 251 | py | Python | igphotoprofile.py | raflimkamal/python_project | 6d3321612226fa15b9fcafe4a301160f63d81213 | [
"MIT"
] | null | null | null | igphotoprofile.py | raflimkamal/python_project | 6d3321612226fa15b9fcafe4a301160f63d81213 | [
"MIT"
] | null | null | null | igphotoprofile.py | raflimkamal/python_project | 6d3321612226fa15b9fcafe4a301160f63d81213 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[2]:
pip install instaloader
# In[4]:
import instaloader
# In[6]:
ig = instaloader.Instaloader()
dp = input("Enter Insta Username:")
ig.download_profile(dp, profile_pic_only = True)
# In[ ]:
| 8.366667 | 48 | 0.649402 |
9b9ade24b6474ca9ac882881c781ddb3dc8e1ab1 | 2,180 | py | Python | activate.py | cassidoxa/bottoman | 9d04331794ffb8bb745fc175c15db6d4a1f5714c | [
"MIT"
] | null | null | null | activate.py | cassidoxa/bottoman | 9d04331794ffb8bb745fc175c15db6d4a1f5714c | [
"MIT"
] | null | null | null | activate.py | cassidoxa/bottoman | 9d04331794ffb8bb745fc175c15db6d4a1f5714c | [
"MIT"
] | null | null | null | import json
import urllib.request
from bottoman import TwitchBot
import config
from db.db import DatabaseManager
def get_user_id_display(user):
"""
uses twitch's API to get a user's token with their (case insensitive)
user name
"""
client_id = config.client_id
token = "srtajsl3jjbhhtfrvk0dlsu33aytv2"
header = {"Client-Id": client_id, "Authorization": f'Bearer {token}'}
url = f'https://api.twitch.tv/helix/users?login={user}'
req = urllib.request.Request(url, headers=header)
response = urllib.request.urlopen(req).read().decode('utf-8')
response = json.loads(response)
return (int(response['data'][0]['id']),
response['data'][0]['display_name'])
def check_admin():
"""
check for an admin. If no admin user, ask for one and add
to chatters db.
"""
dbmgr = DatabaseManager('db/bottoman.db')
permissions_list = [i[0] for i in dbmgr.query(
"SELECT permissions \
FROM chatters").fetchall()]
if 'admin' in permissions_list:
return
else:
admin_flag = False
while admin_flag is False:
admin = input(f"This bot has no admin. Please enter the name of \
your twitch channel: ")
double_check = input(f'The admin account will be {admin}. Is \
this correct? (y/n): ')
if double_check.lower() == "y":
user_id, name = get_user_id_display(admin)
dbmgr.write(
"INSERT INTO chatters \
VALUES (?,?,?,?,?,?)",
(user_id, name.lower(), name, 'admin', 1, 0,))
dbmgr.close()
admin_flag = True
elif double_check.lower() == "n":
continue
else:
print(f"Please try again.")
continue
return
# check for admin, initialize bot, join room, send hello message
check_admin()
bottoman = TwitchBot()
bottoman.join_room(bottoman.s)
bottoman.send_message(config.join_msg)
bottoman.run_time()
| 29.459459 | 77 | 0.559174 |
9b9e8192f42c44f946f004808b8e37a13a83e0b0 | 478 | py | Python | waveshare_snake.py | AndrewCarterUK/MiniGame | 6d699c045e84ee3834f23eb0483245195438eff7 | [
"MIT"
] | null | null | null | waveshare_snake.py | AndrewCarterUK/MiniGame | 6d699c045e84ee3834f23eb0483245195438eff7 | [
"MIT"
] | null | null | null | waveshare_snake.py | AndrewCarterUK/MiniGame | 6d699c045e84ee3834f23eb0483245195438eff7 | [
"MIT"
] | null | null | null | from minigame.waveshare.button import Button
from minigame.waveshare.display import Display
from minigame.games.snake import Snake
WIDTH = 20
HEIGHT = 20
STEP_TIME = 0.5
BLOCK_SIZE = 32
if __name__ == '__main__':
main()
| 19.916667 | 92 | 0.698745 |
9b9f8f5cfe54f976ada38f7cf0db4c9ffc2c1571 | 8,636 | py | Python | jumodjango/urls.py | jumoconnect/openjumo | 828d993bfbb83777d10a68de6964c7d5bb2c7bd0 | [
"MIT"
] | 5 | 2015-03-11T18:59:46.000Z | 2018-08-17T17:49:45.000Z | jumodjango/urls.py | kmrifat/openjumo | 828d993bfbb83777d10a68de6964c7d5bb2c7bd0 | [
"MIT"
] | 2 | 2020-06-05T16:52:17.000Z | 2021-02-08T20:24:26.000Z | jumodjango/urls.py | kmrifat/openjumo | 828d993bfbb83777d10a68de6964c7d5bb2c7bd0 | [
"MIT"
] | 6 | 2016-02-04T00:45:30.000Z | 2021-07-07T17:14:50.000Z | from api.api_v1 import api_urls
from django.conf.urls.defaults import *
from django.conf import settings
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
)
''' RANDOM URLs '''
urlpatterns += patterns('etc.views',
url(r'^about/?$', 'about', name = 'about'),
url(r'^help/?$', 'help', name = 'help'),
url(r'^jobs/?$', 'jobs', name = 'jobs'),
url(r'^team/?$', 'team', name = 'team'),
url(r'^blog/?$', 'blog', name = 'blog'),
url(r'^contact/?$', 'contact', name = 'contact'),
url(r'^privacy/?$', 'privacy', name = 'privacy'),
url(r'^terms/?$', 'terms', name = 'terms'),
url(r'^/?$', 'index', name = 'index'),
url(r'^error/?$', 'throw_error', name = 'throw_error'),
url(r'^health_check/?$', 'health_check', name = 'health_check'),
)
''' END OF RANDOM URLs '''
''' API URLS '''
urlpatterns += patterns('',
(r'^api/', include(api_urls())),
)
''' END API URLS '''
''' USER URLs '''
urlpatterns += patterns('users.views',
url(r'^login/?$', 'login_permalink', name = 'login_permalink'),
url(r'^logout/?$', 'logout_permalink', name = 'logout_permalink'),
url(r'^setup/?$', 'setup', name = 'setup'),
url(r'^discover/?$', 'discover', name = 'discover'),
url(r'^user/(?P<mongo_id>[a-zA-Z0-9\-_].*)/?$', 'old_user_permalink', name = 'old_user_permalink'),
url(r'^forgot_password/?$', 'forgot_password', name = 'forgot_password'),
url(r'^reset_password/(?P<reset_id>[a-fA-F0-9].*)/?$', 'reset_password', name = 'reset_password'),
url(r'^upload_photo/?$', 'upload_photo', name = 'upload_photo'),
url(r'^settings/?$', 'settings', name='settings'),
url(r'^settings/notifications/?$', 'notifications', name='settings_notifications'),
url(r'^settings/connect/?$', 'connect', name='settings_connect'),
url(r'^settings/developer/?$', 'developer', name='settings_developer'),
url(r'^users/(?P<user_id>\d*)/follow/?$', 'follow', name='follow_user'),
url(r'^users/(?P<user_id>\d*)/unfollow/?$', 'unfollow', name='unfollow_user'),
url(r'^users/(?P<user_id>\d*)/followers/?$', 'follower_list', name='user_followers'),
url(r'^users/(?P<user_id>\d*)/followings/?$', 'following_list', name='user_followings'),
url(r'^remove/?$', 'remove_user', name='remove_user')
)
urlpatterns += patterns('users.ajax.views',
url(r'^json/v1/user/fbid_check/?$', 'check_fbid', name = 'check_fbid'),
url(r'^json/v1/user/fb_login/?$', 'fb_login', name = 'fb_login'),
url(r'^json/v1/user/fbot_update/?$', 'fbot_update', name = 'fbot_update'),
url(r'^json/v1/user/update/?$', 'update_user', name = 'update_user'),
url(r'^json/v1/user/remove/?$', 'remove_user', name = 'remove_user'),
url(r'^json/v1/user/reset_password/?$', 'reset_password', name = 'reset_password'),
url(r'^json/v1/user/forgot_password/?$', 'forgot_password', name = 'forgot_password'),
url(r'^json/v1/user/action/follow/?$', 'follow', name = 'follow'),
)
''' END OF USER URLs '''
''' ISSUE URLs '''
urlpatterns += patterns('issue.views',
url(r'^issue/(?P<mongo_id>[a-zA-Z0-9\-_].*)/?$', 'old_issue_permalink', name = 'old_issue_permalink'),
url(r'^issuename/(?P<issuename>[a-zA-Z0-9\-_\ ].*)/?$', 'old_issuename_permalink', name = 'old_issuename_permalink'),
url(r'^users/(?P<user_id>\d*)/issues/?$', 'followed_issue_list', name='followed_issue_list')
)
''' ISSUE URLs '''
''' ORG URLs '''
urlpatterns += patterns('org.views',
url(r'^org/categories.js$', 'org_categories', name = 'org_categories'),
url(r'^org/claim/(?P<org_id>[0-9a-zA-Z\-_].*)/confirm/?$', 'claim_org_confirm', name = 'claim_org_confirm'),
url(r'^org/claim/(?P<org_id>[0-9a-zA-Z\-_].*)/?$', 'claim_org', name = 'claim_org'),
url(r'^org/create/?$', 'create_org', name = 'create_org'),
url(r'^org/(?P<org_id>\d.*)/details/?$', 'details', name='details_org'),
url(r'^org/(?P<org_id>[0-9a-zA-Z\-_].*)/manage/?$', 'manage_org', {'tab': 'about'}, name='manage_org'),
url(r'^org/(?P<org_id>[0-9a-zA-Z\-_].*)/manage/connect/?$', 'manage_org', {'tab': 'connect'}, name='manage_org_connect'),
url(r'^org/(?P<org_id>[0-9a-zA-Z\-_].*)/manage/more/?$', 'manage_org', {'tab': 'more'}, name='manage_org_more'),
url(r'^org/(?P<mongo_id>[a-zA-Z0-9\-_].*)/?$', 'old_org_permalink', name = 'old_org_permalink'),
url(r'^orgname/(?P<orgname>[a-zA-Z0-9\-_\ ].*)/?$', 'old_orgname_permalink', name = 'old_orgname_permalink'),
url(r'^users/(?P<user_id>\d*)/orgs/?$', 'followed_org_list', name='followed_org_list')
)
urlpatterns += patterns('org.ajax.views',
url(r'^json/v1/org/fetch_centroid/?$', 'fetch_org_by_centroid', name = 'fetch_org_by_centroid'),
url(r'^json/v1/org/update/?$', 'update_org', name = 'update_org'),
url(r'^json/v1/org/remove/?$', 'remove_org', name = 'remove_org'),
url(r'^json/v1/org/flag/?$', 'flag_org', name = 'flag_org'),
url(r'^json/v1/org/create/?$', 'org_create', name = 'org_create'),
url(r'^json/v1/org/normalize_facebook_id/?$', 'normalize_facebook_id', name = 'normalize_facebook_id'),
)
''' END OF ORG URLs '''
''' COMMITMENT URLS '''
urlpatterns += patterns('commitment.views',
url(r'^commitments/create/?$', 'create', name='create_commitment'),
url(r'^commitments/(?P<commitment_id>\d*)/delete/?$', 'delete', name='delete_commitment'),
url(r'^orgs/(?P<entity_id>\d*)/commitments/?$', 'list', {'model_name': 'org.Org'}, name='org_commitments'),
url(r'^issues/(?P<entity_id>\d*)/commitments/?$', 'list', {'model_name': 'issue.Issue'}, name='issue_commitments'),
)
''' ACTION URLS '''
urlpatterns += patterns('action.views',
url(r'^orgs/(?P<entity_id>\d*)/actions/?$', 'action_list', {'model_name': 'org.Org'}, name='org_action_list'),
url(r'^issues/(?P<entity_id>\d*)/actions/?$', 'action_list', {'model_name': 'issue.Issue'}, name='issue_action_list'),
)
''' SEARCH URLS '''
urlpatterns += patterns('search.views',
url(r'^json/v1/search/onebox/?$', 'autocomplete', name = 'autocomplete'),
url(r'^search/?$', 'search_page', name='search_page'),
url(r'^json/v1/search/?$', 'ajax_search', name='ajax_search'),
url(r'^json/v1/autocomplete/?$', 'ajax_term_complete', name='ajax_term_complete')
)
''' MAILER URLS '''
urlpatterns += patterns('mailer.views',
url(r'^unsubscribe/$', 'unsubscribe', name='unsubscribe'),
url(r'^email/text/(?P<username>[a-zA-Z0-9\-_\ ].*)/?$', 'jumo_reader', name = 'jumo_reader'),
url(r'^email/(?P<username>[a-zA-Z0-9\-_\ ].*)/?$', 'jumo_reader', name = 'jumo_reader'),
#url(r'^notification/(?P<username>[a-zA-Z0-9\-_\ ].*)/?$', 'notification_email', name = 'notification_email'),
)
''' END MAILER URLS '''
''' ADMIN URLS '''
urlpatterns += patterns('',
(r'^admin/org/report/$', 'org.admin_views.report'),
(r'^grappelli/', include('grappelli.urls')),
(r'^admin/', include(admin.site.urls)),
)
if settings.IS_DATAMINE:
urlpatterns += patterns('miner.views',
url(r'^related_searches/?$', 'related_searches', name='related_searches')
)
#if settings.DEBUG:
if True:
urlpatterns += patterns('django.views.static',
(r'^static/(?P<path>.*)$',
'serve', {
'document_root': settings.MEDIA_ROOT,
'show_indexes': True }),)
handler500 = 'etc.views.error_500'
handler404 = 'etc.views.error_404'
'''
#########################################################################################
### HEY #########################################################################
################################################## SEE ALL THEM POUND SIGNS? ############
#########################################################################################
############### THAT MEANS THIS IS AN IMPORTANT MSG #####################################
#########################################################################################
################################# SO PAY ATTENTION OK? ##################################
#########################################################################################
####### EVERYTHING WILL BREAK IF THIS ISN'T THE LAST LINE OF CODE IN THIS FILE. #
#########################################################################################
################################## WE COOL? #############################################
#########################################################################################
'''
urlpatterns += patterns('etc.views',
url(r'^([a-zA-Z0-9\-_].*)/?$', 'clean_url', name = 'entity_url'),
)
| 45.452632 | 125 | 0.54736 |
9ba08896288342be18a3bdfe4d777157062a927c | 2,830 | py | Python | modules/layers.py | vliu15/munit | 5789d96590519d729f89c9501eba7692fa7054ef | [
"MIT"
] | 3 | 2021-03-04T01:48:03.000Z | 2021-12-16T06:55:10.000Z | modules/layers.py | vliu15/munit | 5789d96590519d729f89c9501eba7692fa7054ef | [
"MIT"
] | null | null | null | modules/layers.py | vliu15/munit | 5789d96590519d729f89c9501eba7692fa7054ef | [
"MIT"
] | null | null | null | # The MIT License
#
# Copyright (c) 2020 Vincent Liu
#
# 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, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
import torch
import torch.nn as nn
| 36.753247 | 84 | 0.674558 |
9ba3741e685c1d558d552dcb021080523937b319 | 721 | py | Python | lab_new/locust/locustfile.py | mwardbopp/f5-big-iq-lab | 70d5b766571f8db8b3bc744e98c183dbdd500089 | [
"Apache-2.0"
] | 18 | 2018-07-17T15:17:16.000Z | 2021-12-05T21:13:26.000Z | lab_new/locust/locustfile.py | mwardbopp/f5-big-iq-lab | 70d5b766571f8db8b3bc744e98c183dbdd500089 | [
"Apache-2.0"
] | 34 | 2018-09-11T04:43:47.000Z | 2021-04-19T15:58:50.000Z | lab_new/locust/locustfile.py | mwardbopp/f5-big-iq-lab | 70d5b766571f8db8b3bc744e98c183dbdd500089 | [
"Apache-2.0"
] | 54 | 2018-07-30T12:23:33.000Z | 2021-06-11T17:54:28.000Z | import time
from locust import HttpUser, task, between
# https://docs.locust.io/en/stable/quickstart.html
| 34.333333 | 105 | 0.65742 |
9ba44cd9d91cc8c729aafc0cddc794fc2187f3f9 | 25,015 | py | Python | lizardanalysis/calculations/aep_pep_test.py | JojoReikun/ClimbingLizardDLCAnalysis | 6cc38090217a3ffd4860ef6d06ba7967d3c10b7c | [
"MIT"
] | 1 | 2021-03-09T19:12:44.000Z | 2021-03-09T19:12:44.000Z | lizardanalysis/calculations/aep_pep_test.py | JojoReikun/ClimbingLizardDLCAnalysis | 6cc38090217a3ffd4860ef6d06ba7967d3c10b7c | [
"MIT"
] | null | null | null | lizardanalysis/calculations/aep_pep_test.py | JojoReikun/ClimbingLizardDLCAnalysis | 6cc38090217a3ffd4860ef6d06ba7967d3c10b7c | [
"MIT"
] | null | null | null | def aep_pep_test(**kwargs):
"""
Calculates two different things:
1.) The x and y coordinates of the AEP and PEP, relative to the coxa of a respective leg
2.) The swing phases and the stance phases, identifying on a frame by frame basis
Return: results data frame with 30 key value pairs:
x6 allocation of swing and stance phases for each foot/leg
x6 x coordinates of AEP for each foot/leg
x6 y coordinates for AEP for each foot/leg
x6 x coordinates for PEP for each foot/leg
x6 y coordinates for PEP for each foot/leg
"""
import os.path
import pandas as pd
from pandas import np
from pathlib import Path
from lizardanalysis.utils import animal_settings
from scipy import signal
import math
# print("footfall_by_switches")
# define necessary **kwargs:
data = kwargs.get('data')
data_rows_count = kwargs.get('data_rows_count')
config = kwargs.get('config')
filename = kwargs.get('filename')
likelihood = kwargs.get('likelihood')
animal = kwargs.get('animal')
df_result_current = kwargs.get('df_result_current')
# added in this so that you can get the estimated values from alpha
# so long as that column currently resides in the data frame
config_file = Path(config).resolve()
# result folder for footfall plots
step_detection_folder = os.path.join(str(config_file).rsplit(os.path.sep, 1)[0], "analysis-results",
"step_detection")
# create file path for foot fall pattern diagrams
plotting_footfall_folder = os.path.join(step_detection_folder, "footfall-pattern-diagrams")
# TODO: instead of hard-coding the feet and the three points for body_motion,
# TODO: let the user choose based on labels available in DLC result file: Choose feet & choose body motion
scorer = data.columns[1][0]
feet = animal_settings.get_list_of_feet(animal)
relative = False
plotting_footfall_patterns = True
# define cut-off value -> crops X% of frames on each side of video
p_cut_off = 0.05
body_motion = {"frame": [], "mean_motion_x": []}
abdomen_diff = 0
head_diff = 0
# assuming that the body from the head to the abdomen is rigid?
# this for loop is used to calculate the x coordinate difference between a given frame and the previous
# therefore gives you can indicator of the direction of motion
# if the [row] - [row-1] > 0 , then the stick insect is moving to the right
# if the [row] - [row-1] < 0, then the stick insect is moving to the left
for row in range(1, data_rows_count):
if data.loc[row][scorer, "head", 'likelihood'] >= likelihood and data.loc[row - 1][
scorer, "head", 'likelihood'] >= likelihood:
head_diff = data.loc[row][scorer, "head"] - data.loc[row - 1][scorer, "head"]
if data.loc[row][scorer, "abdomen", 'likelihood'] >= likelihood and data.loc[row - 1][
scorer, "abdomen", 'likelihood'] >= likelihood:
abdomen_dif = data.loc[row][scorer, "abdomen"] - data.loc[row - 1][scorer, "abdomen"]
body_motion["frame"].append(row - 1)
body_motion["mean_motion_x"].append(abs((head_diff + abdomen_diff) / 2.0))
# am taking the absolute value, because if the stick insect walks to the left, then you don't want to
# switch the which sign changes indicates swing/pep and which sign change indicates stance/aep.
# taking the average of the differences, to determine the average 'speed' i.e. the displacement over one frame of the whole body
# one class instance and one result array for every foot, since every foot needs its own counter
calculators = {}
results = {}
# for every foot, need to do within the original for loop, so all foot calculations are performed for a given frame
foot_motions = {}
rel_foot_motions = {}
# left the for loop for the body motion, and will now be working with for loops for the foot motion
for foot in feet:
foot_motions[f"{foot}"] = []
rel_foot_motions[f"rel_{foot}"] = []
# if the [row] - [row-1] > 0 , then the stick insect FOOT is moving to the right
# if the [row] - [row-1] < 0, then the stick insect FOOT is moving to the left
# taking an absolute value for the body and foot motions avoid issues with directions (?)
foot_motion = 0
for row in range(1, data_rows_count):
if data.loc[row][scorer, f"{foot}", 'likelihood'] >= likelihood and data.loc[row - 1][scorer,
f"{foot}",'likelihood'] >= likelihood:
foot_motion = abs(data.loc[row][scorer, f"{foot}", 'x'] - data.loc[row - 1][
scorer, f"{foot}", 'x'])
foot_motions[f"{foot}"].append(foot_motion)
rel_foot_motions[f"rel_{foot}"].append(foot_motion - body_motion['mean_motion_x'][row - 1])
else:
foot_motions[f"foot"].append
# now need to store the body motion data, the foot motion data, and the relative foot motion all in a dataframe
# this dataframe within the loop is only for one foot
dict_df = {'body_motion': body_motion['mean_motion_x'], 'foot_motion': foot_motions[f"{foot}"],
"rel_foot_motion": rel_foot_motions[f"rel_{foot}"]}
print(dict_df)
df = pd.DataFrame.from_dict(dict_df)
intersections = smooth_and_plot(df, data_rows_count, p_cut_off, relative, foot, filename,
step_detection_folder)
######################################################################################################################
# the smooth_and_plot function returns 'intersection_dict'
# intersection dict is: {"idx":[], "sign":[]}
# idx = the idx of the number list/array of differences in the sign, only storing when the differences are non-zero
# sign = stores the sign of the number associated with the index of the non zero number
# positive => start of swing =>PEP
# negative => start of stance => AEP
# gives the alpha_estimation values for the
rom_list = [col for col in df_result_current.columns if ("rom_angle_{}".format(foot) in col)]
aep_pep_angle = []
# for loop will calculate the angle that defines the femur-coxa vector relative to the normal
# to the body axis, running through the coxa of the foot of interest
for angle in range(len(rom_list)):
aep_pep_angle.append(90 - angle)
foot_chars = list(foot)
f_t_joint_lpx = []
f_t_joint_lpy = []
t_c_joint_lpx = []
t_c_joint_lpy = []
# low pass filter application of the coordinate data alone?
# is this necessary
b, a = signal.butter(3, 0.1, btype='lowpass', analog=False)
f_t_joint_lpx = signal.filtfilt(b, a,
(data.loc[:, (scorer, "{}m{}".format(foot_chars[0], foot_chars[1]), "x")]))
f_t_joint_lpy = signal.filtfilt(b, a,
(data.loc[:, (scorer, "{}m{}".format(foot_chars[0], foot_chars[1]), "y")]))
t_c_joint_lpx = signal.filtfilt(b, a,
(data.loc[:, (scorer, "{}b{}".format(foot_chars[0], foot_chars[1]), "x")]))
t_c_joint_lpy = signal.filtfilt(b, a,
(data.loc[:, (scorer, "{}b{}".format(foot_chars[0], foot_chars[1]), "y")]))
# ensuring that the values for the keys are defined as arrays, so that you can append for the
# following for loop
results_aep = {"{}_x".format(foot): [], "{}_y".format(foot): []}
results_pep = {"{}_x".format(foot): [], "{}_y".format(foot): []}
for i in range(2, data_rows_count):
if i - 2 in intersections["idx"]:
# atm just leaving the likelihood check
# is it worth doing, considering the alpha angles depended on those likelihoods anyway?
# so you would be just checking the same likelihood even though
# now calculating the Euclidean distance between the coxa label and the femur label
f_t_joint_co = (f_t_joint_lpx[i], f_t_joint_lpy[i])
t_c_joint_co = (t_c_joint_lpx[i], t_c_joint_lpy[i])
distance = np.sqrt(
(f_t_joint_co[0] - t_c_joint_co[0]) ** 2 + (f_t_joint_co[1] - t_c_joint_co[1]) ** 2)
# calibrate distance with conversion factor
# NEED TO WRITE THE CONVERSION FACTOR!
distance_calib = distance # / conv_fac
# results_aep = {}
# results_pep = {}
if intersections["sign"][i - 2] > 0:
# this means you are transitioning to the swing phase, so should be PEP
results_pep[f"{foot}_x"].append((math.cos(aep_pep_angle[i]) * distance_calib))
results_pep[f"{foot}_y"].append((math.sin(aep_pep_angle[i]) * distance_calib))
if intersections["sign"][i - 2] < 0:
# this means you are transitioning to the stance phase so should be aep
results_aep[f"{foot}_x"].append((math.cos(aep_pep_angle[i]) * distance_calib))
results_aep[f"{foot}_y"].append((math.sin(aep_pep_angle[i]) * distance_calib))
# therefore should now have two dictionaries that contain the x coordinates and the y coordinates
# of the aep and the pep for each foot
# one aep value and one pep value per stepping cycle
#####################################################################################################################
# initializes class instance for every foot and empty result dict to be filled with the swing and stance phases:
calculators[foot] = StridesAndStances()
# "S10" = string of 10 characters: stance/stride + counter 000n
results[foot] = calculators[foot].determine_stride_phases(intersections, data_rows_count)
# rename dictionary keys of results
results = {'stepphase_' + key: value for (key, value) in results.items()}
results_aep = {"AEP_" + key: value for (key, value) in results_aep.items()}
results_pep = {"PEP_" + key: value for (key, value) in results_pep.items()}
# print("results: ", results)
if plotting_footfall_patterns:
""" plots a foot fall pattern diagram for every DLC result csv file/every lizard run """
plot_footfall_pattern(results, data_rows_count, filename, plotting_footfall_folder)
## need to add the result of the code here!
# last step must be combining the three results dictionaries
results.update(results_aep)
results.update(results_pep)
return results
# shouldn't matter whether the stick insect walks in a straight horizontal line or not, because you're only looking at
# the switch in the direction of movement
# therefore, as long as the insect doesn't walk completely vertically suddenly, then the algorithm should still work
## removed the unused function, might need to put back in at some point
def plot_footfall_pattern(results, data_rows_count, filename, plotting_footfall_folder):
"""
takes the result dataframe and creates a new dataframe for plotting. Every foot gets assigned an individual number.
The dataframe is then filtered for strings containing "stride", the strides get replaced by the respective number,
while all stances will be NaN.
In the plot strides are therefore displayed as bars and stances are empty.
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Patch
import os
import errno
df_plot = pd.DataFrame(columns=results.keys(), index=range(data_rows_count))
# filter here and only fill in stances as numbers => stances bars, strides white
for i, key in enumerate(results):
df_plot[key] = [i + 1 if s.startswith(b'stance') else np.NaN for s in results[key]]
key_list = [key for key in df_plot.columns]
colors = False
if colors:
cmap = plt.cm.coolwarm
legend_elements = [Line2D([0], [0], color=cmap(0.), lw=4, label=key_list[0]),
Line2D([0], [0], color=cmap(.33), lw=4, label=key_list[1]),
Line2D([0], [0], color=cmap(.66), lw=4, label=key_list[2]),
Line2D([0], [0], color=cmap(1.), lw=4, label=key_list[3]),
Line2D([0], [0], color='black', lw=4, label='stance phases'),
Line2D([0], [0], color='white', lw=4, label='stride phases')]
fig, ax = plt.subplots()
df_plot.plot(linewidth=10, color=cmap(np.linspace(0, 1, 5)), ax=ax)
ax.legend(handles=legend_elements)
else:
legend_elements = [Line2D([0], [0], color='white', lw=1, label='1 = FL | 2 = FR | 3 = HR | 4 = HL'),
Line2D([0], [0], color='black', lw=4, label='stance phases'),
Line2D([0], [0], color='white', lw=4, label='stride phases')]
fig, ax = plt.subplots()
df_plot.plot(linewidth=10, color='black', ax=ax)
ax.legend(handles=legend_elements)
# saves footfall pattern diagrams as pdf in defined result folder. If folder is not extant yet, it will be created
try:
os.makedirs(plotting_footfall_folder)
except OSError as e:
if e.errno != errno.EEXIST:
raise
plt.savefig(os.path.join(plotting_footfall_folder, "{}.pdf".format(filename)))
plt.clf()
plt.close()
| 49.534653 | 136 | 0.625625 |
9ba6402b03516602907bdd9d7c0d28f9b0666716 | 1,601 | py | Python | python/test.py | drulm/Spark_Knapsack | ef8ab8b6ac6762391b63ff29ebf857a65f98698d | [
"Apache-2.0"
] | 7 | 2018-04-18T00:51:29.000Z | 2021-05-30T12:58:36.000Z | python/test.py | darrell-ulm/Spark_Knapsack | ef8ab8b6ac6762391b63ff29ebf857a65f98698d | [
"Apache-2.0"
] | null | null | null | python/test.py | darrell-ulm/Spark_Knapsack | ef8ab8b6ac6762391b63ff29ebf857a65f98698d | [
"Apache-2.0"
] | 2 | 2019-05-28T03:13:26.000Z | 2019-11-22T19:50:14.000Z | # --------------------------------------------
# Test the Approximate Knapsack function test
# --------------------------------------------
# Pull in the knapsack library.
import random
from pyspark.sql import SparkSession
from knapsack import knapsack
# Create the SparkContext.
sc = SparkSession \
.builder \
.appName("Knapsack Approximation Algorithm Test") \
.getOrCreate()
# Knapsack problem size.
N = 10
# Setup sample data for knapsack.
knapsackData = [('item_' + str(k), random.uniform(1.0, 10.0), random.uniform(1.0, 10.0)) for k in range(N)]
# Make a Dataframe with item(s), weight(s), and value(s) for the knapsack.
knapsackData = sc.createDataFrame(knapsackData, ['item', 'weights', 'values'])
# Display the original data
print "Original Data:"
print knapsackData.show()
print "\n"
# Create a random maximum weight
W = random.uniform(N * 1.3, N * 1.6)
# Show the weight.
print "W: "
print W
print "\n"
# Call the knapsack greedy approximation function, with data and size 5.
k = knapsack.knapsackApprox(knapsackData, W)
# Show the results Dataframe.
print "Selected Elements:"
print k.show()
print "\n"
# Show totals for selected elements of knapsack.
sumValues = k.rdd.map(lambda x: x["values"]).reduce(lambda x, y: x+y)
sumWeights = k.rdd.map(lambda x: x["weights"]).reduce(lambda x, y: x+y)
numResults = k.count()
print "Totals:"
print "Sum Values: ", sumValues
print "Sum Weights: ", sumWeights
print numResults
print "\n"
# ------------------------------------------
# End of Approximate Knapsack function test
# ------------------------------------------
| 26.245902 | 107 | 0.634603 |
9ba65d1715a7fcfaf9934b6a6bcb75b319f1120c | 413 | py | Python | mysite/blog/views.py | josonle/LearningDjango | 62558aa141c5872c2380e5daa336da199a54b0e1 | [
"MIT"
] | 1 | 2019-02-19T07:38:02.000Z | 2019-02-19T07:38:02.000Z | mysite/blog/views.py | josonle/LearningDjango | 62558aa141c5872c2380e5daa336da199a54b0e1 | [
"MIT"
] | null | null | null | mysite/blog/views.py | josonle/LearningDjango | 62558aa141c5872c2380e5daa336da199a54b0e1 | [
"MIT"
] | null | null | null | from django.shortcuts import render,get_object_or_404
from .models import BlogArticles
# Create your views here. | 34.416667 | 80 | 0.79661 |
9ba95d022de0cbe77839799064d678253b042077 | 204 | py | Python | tests/test_gluupostgres.py | danilosoarescardoso/cloud-native-edition | b8aa66119dc4440b1ca3741a4065c9ae7feb42fb | [
"Apache-2.0"
] | 1 | 2021-04-04T04:25:49.000Z | 2021-04-04T04:25:49.000Z | tests/test_gluupostgres.py | danilosoarescardoso/cloud-native-edition | b8aa66119dc4440b1ca3741a4065c9ae7feb42fb | [
"Apache-2.0"
] | null | null | null | tests/test_gluupostgres.py | danilosoarescardoso/cloud-native-edition | b8aa66119dc4440b1ca3741a4065c9ae7feb42fb | [
"Apache-2.0"
] | null | null | null | import pygluu.kubernetes.postgres as module0
from pygluu.kubernetes.postgres import Postgres
| 20.4 | 47 | 0.72549 |
9ba99aa02744fe90eebce52ab7ecf4ce0854c775 | 1,367 | py | Python | Medium/918. Maximum Sum Circular Subarray/solution (1).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | 3 | 2020-05-09T12:55:09.000Z | 2022-03-11T18:56:05.000Z | Medium/918. Maximum Sum Circular Subarray/solution (1).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | null | null | null | Medium/918. Maximum Sum Circular Subarray/solution (1).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | 1 | 2022-03-11T18:56:16.000Z | 2022-03-11T18:56:16.000Z | # 918. Maximum Sum Circular Subarray
# Runtime: 1028 ms, faster than 5.09% of Python3 online submissions for Maximum Sum Circular Subarray.
# Memory Usage: 18.6 MB, less than 33.98% of Python3 online submissions for Maximum Sum Circular Subarray.
import math | 35.973684 | 106 | 0.567666 |
9ba9d75f770e59ab5f8bd4c1745fa1e171a92981 | 10,644 | py | Python | testing.py | gustxsr/learning-with-assemblies | 4158829adf4500a9ae868ca7c64ffef90753c66b | [
"MIT"
] | null | null | null | testing.py | gustxsr/learning-with-assemblies | 4158829adf4500a9ae868ca7c64ffef90753c66b | [
"MIT"
] | null | null | null | testing.py | gustxsr/learning-with-assemblies | 4158829adf4500a9ae868ca7c64ffef90753c66b | [
"MIT"
] | null | null | null |
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import convolve
from matplotlib.gridspec import GridSpec
import matplotlib as mpl
rng = np.random.default_rng()
def k_cap(input, cap_size):
"""
Given a vector input it returns the highest cap_size
entries from cap_zie
"""
output = np.zeros_like(input)
if len(input.shape) == 1:
idx = np.argsort(input)[-cap_size:]
output[idx] = 1
else:
idx = np.argsort(input, axis=-1)[:, -cap_size:]
np.put_along_axis(output, idx, 1, axis=-1)
return output
n_in = 784 # Vector of 28X28 pixels
cap_size = 200 # Size of the cap
sparsity = 0.1
n_rounds = 10
n_examples=800
beta = 1e0
train_path="./data/mnist/mnist_train.csv"
layers=[ (2000,200)]# number of neurons in network with respective cap_size
test_path="./data/mnist/mnist_test.csv"
kernels=[np.ones((1, 3, 3))]
classify_two=classification_mnist(kernels,train_path,test_path, n_in , sparsity, layers, beta)
classify_two.train_model( 5)
print(classify_two.classify( 5, test=False))
| 37.087108 | 217 | 0.613209 |
9bab281692147103f4b861c83d053ce8c6a1c16f | 4,398 | py | Python | src/chatstats.py | brendancsmith/cohort-facebook | a7b37d14b7152349930bc10f69cb72446d6c3581 | [
"MIT"
] | null | null | null | src/chatstats.py | brendancsmith/cohort-facebook | a7b37d14b7152349930bc10f69cb72446d6c3581 | [
"MIT"
] | null | null | null | src/chatstats.py | brendancsmith/cohort-facebook | a7b37d14b7152349930bc10f69cb72446d6c3581 | [
"MIT"
] | null | null | null | from collections import Counter, defaultdict
from datetime import datetime
from statistics import mean
from dateutil.parser import parse as parse_datetime
from dateutil import rrule
| 29.918367 | 91 | 0.648931 |
9bac9dcd120d634f437ebef6f5de2fb78cd0ef74 | 741 | py | Python | app/model/user_signup.py | dwdraugr/YADS | c8036d8196a3158636aaa4f1910033e70ec8ecb4 | [
"Apache-2.0"
] | 3 | 2019-09-02T11:26:58.000Z | 2019-12-06T15:54:38.000Z | app/model/user_signup.py | dwdraugr/YADS | c8036d8196a3158636aaa4f1910033e70ec8ecb4 | [
"Apache-2.0"
] | null | null | null | app/model/user_signup.py | dwdraugr/YADS | c8036d8196a3158636aaa4f1910033e70ec8ecb4 | [
"Apache-2.0"
] | null | null | null | import app.model.model as model
import hashlib
| 35.285714 | 94 | 0.584345 |
9bae71f7a1d534c3b03ab7c28df3edc847994f0b | 2,125 | py | Python | utils/lsms/compositional_histogram_cutoff.py | allaffa/HydraGNN | b48f75cd3fe1b0d03bae9af3e6bdc2bb29f8b9c6 | [
"BSD-3-Clause"
] | 1 | 2022-01-30T16:50:51.000Z | 2022-01-30T16:50:51.000Z | utils/lsms/compositional_histogram_cutoff.py | allaffa/HydraGNN | b48f75cd3fe1b0d03bae9af3e6bdc2bb29f8b9c6 | [
"BSD-3-Clause"
] | 1 | 2022-02-03T11:45:53.000Z | 2022-02-09T17:59:37.000Z | utils/lsms/compositional_histogram_cutoff.py | kshitij-v-mehta/HydraGNN | d27958270b2beb35f98e4403239e3c5c77ad4a04 | [
"BSD-3-Clause"
] | null | null | null | import os
import shutil
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
def compositional_histogram_cutoff(
dir,
elements_list,
histogram_cutoff,
num_bins,
overwrite_data=False,
create_plots=True,
):
"""
Downselect LSMS data with maximum number of samples per binary composition.
"""
if dir.endswith("/"):
dir = dir[:-1]
new_dir = dir + "_histogram_cutoff/"
if os.path.exists(new_dir):
if overwrite_data:
shutil.rmtree(new_dir)
else:
print("Exiting: path to histogram cutoff data already exists")
return
if not os.path.exists(new_dir):
os.makedirs(new_dir)
comp_final = []
comp_all = np.zeros([num_bins])
for filename in tqdm(os.listdir(dir)):
path = os.path.join(dir, filename)
# This is LSMS specific - it assumes only one header line and only atoms following.
atoms = np.loadtxt(path, skiprows=1)
elements, counts = np.unique(atoms[:, 0], return_counts=True)
# Fixup for the pure component cases.
for e, elem in enumerate(elements_list):
if elem not in elements:
elements = np.insert(elements, e, elem)
counts = np.insert(counts, e, 0)
num_atoms = atoms.shape[0]
composition = counts[0] / num_atoms
b = find_bin(composition, num_bins)
comp_all[b] += 1
if comp_all[b] < histogram_cutoff:
comp_final.append(composition)
new_path = os.path.join(new_dir, filename)
os.symlink(path, new_path)
if create_plots:
plt.figure(0)
plt.hist(comp_final, bins=num_bins)
plt.savefig("composition_histogram_cutoff.png")
plt.figure(1)
w = 1 / num_bins
plt.bar(np.linspace(0, 1, num_bins), comp_all, width=w)
plt.savefig("composition_initial.png")
| 27.960526 | 91 | 0.610353 |
9baf6c3804173cb531cd1c2955cba4bc19bd4390 | 109 | py | Python | CVcontact/urls.py | siavashMehran/Portfolio | a592ec51122d96e8e336365fd3cd039a7f223221 | [
"MIT"
] | null | null | null | CVcontact/urls.py | siavashMehran/Portfolio | a592ec51122d96e8e336365fd3cd039a7f223221 | [
"MIT"
] | null | null | null | CVcontact/urls.py | siavashMehran/Portfolio | a592ec51122d96e8e336365fd3cd039a7f223221 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import contactMe
urlpatterns = [
path('contact', contactMe)
]
| 13.625 | 30 | 0.724771 |
9bb0067ad50b3ebfd94976cc78cce86faed75925 | 1,256 | py | Python | PointMatcher/actions/export.py | daisatojp/PointMatcher | 927bd4dd676b18da763ccaab2f429f27de281710 | [
"MIT"
] | 2 | 2021-01-05T03:42:50.000Z | 2022-03-16T07:17:02.000Z | PointMatcher/actions/export.py | daisatojp/PointMatcher | 927bd4dd676b18da763ccaab2f429f27de281710 | [
"MIT"
] | 4 | 2021-01-07T06:28:01.000Z | 2021-01-18T11:59:56.000Z | PointMatcher/actions/export.py | daisatojp/PointMatcher | 927bd4dd676b18da763ccaab2f429f27de281710 | [
"MIT"
] | null | null | null | import os.path as osp
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QAction
from PyQt5.QtWidgets import QFileDialog
from PointMatcher.utils.filesystem import icon_path
| 35.885714 | 75 | 0.642516 |