xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

5a7fe776654c20e1290bc4e948072b1dcc063b7e

2,007

py

Python

util/query_jmx.py

perfsonar/esmond

391939087321c1438d54cdadee3eb936b95f3e92

[ "BSD-3-Clause-LBNL" ]

3

2019-10-23T01:10:19.000Z

2022-03-26T18:40:44.000Z

util/query_jmx.py

perfsonar/esmond

391939087321c1438d54cdadee3eb936b95f3e92

[ "BSD-3-Clause-LBNL" ]

23

2018-12-05T20:30:04.000Z

2020-11-11T19:20:57.000Z

util/query_jmx.py

perfsonar/esmond

391939087321c1438d54cdadee3eb936b95f3e92

[ "BSD-3-Clause-LBNL" ]

3

2019-02-11T20:40:41.000Z

2022-03-26T18:40:50.000Z

#!/usr/bin/env python3 """ Code to issue calls to the cassandra MX4J http server and get stats. """ import os import sys from optparse import OptionParser from esmond.api.client.jmx import CassandraJMX def main(): usage = '%prog [ -U ]' parser = OptionParser(usage=usage) parser.add_option('-U', '--url', metavar='URL', type='string', dest='url', default='http://localhost:8081', help='URL:port to cassandra mx4j server (default=%default).') parser.add_option('-v', '--verbose', dest='verbose', action='count', default=False, help='Verbose output - -v, -vv, etc.') options, args = parser.parse_args() cjmx = CassandraJMX(options.url) print('Heap mem:', cjmx.get_heap_memory()) print('Non-heap mem:', cjmx.get_non_heap_memory()) print('Read latency:', cjmx.get_read_latency()) print('Write latency:', cjmx.get_write_latency()) print('Range latency:', cjmx.get_range_latency()) print('GC count:', cjmx.get_gc_count()) print('GC time:', cjmx.get_gc_time()) print('Active read tasks:', cjmx.get_read_active()) print('Pending read tasks:', cjmx.get_read_pending()) print('Completed read tasks:', cjmx.get_read_completed()) print('Active write tasks:', cjmx.get_write_active()) print('Pending write tasks:', cjmx.get_write_pending()) print('Completed write tasks:',cjmx.get_write_completed()) print('Active gossip tasks:', cjmx.get_gossip_active()) print('Pending gossip tasks:', cjmx.get_gossip_pending()) print('Completed gossip tasks:',cjmx.get_gossip_completed()) print('OS load:', cjmx.get_os_load()) print('OS free mem:', cjmx.get_os_free_memory()) print('OS free swap:', cjmx.get_os_free_swap()) print('OS committed virtual mem:', cjmx.get_os_committed_virtual_memory()) print('Pending compaction', cjmx.get_compaction_pending()) print('Completed compaction', cjmx.get_compaction_complete()) if __name__ == '__main__': main()

38.596154

78

0.678127

268

2,007

4.854478

0.30597

0.11837

0.083013

0.036895

0.152191

0

0.004179

0.165421

2,007

51

79

39.352941

0.772537

0.044843

0

0.275013

0

1

0.025641

false

0

0.102564

0

0.128205

0.564103

0

null

0

null

0

1

0

1

5a8074c85da0b1531e270b6b0eaa82126e705010

1,294

py

Python

apps/accounts/management/commands/amend_hostingproviders_stats.py

BR0kEN-/admin-portal

0c38dc0d790031f45bf07660bce690e972fe2858

[ "Apache-2.0" ]

null

apps/accounts/management/commands/amend_hostingproviders_stats.py

BR0kEN-/admin-portal

0c38dc0d790031f45bf07660bce690e972fe2858

[ "Apache-2.0" ]

null

apps/accounts/management/commands/amend_hostingproviders_stats.py

BR0kEN-/admin-portal

0c38dc0d790031f45bf07660bce690e972fe2858

[ "Apache-2.0" ]

null

from django.core.management.base import BaseCommand from django.db import connection class Command(BaseCommand): help = "Add missing id column for hostingstats." def handle(self, *args, **options): with connection.cursor() as cursor: self.cursor = cursor self.cursor.execute( """ START TRANSACTION; CREATE TABLE `hostingproviders_stats_copy` ( `id` INT(11) primary key Not null auto_increment, `id_hp` Int( 11 ) NOT NULL, `green_checks` Int( 11 ) NOT NULL, `green_domains` Int( 11 ) NOT NULL, CONSTRAINT `id_hp` UNIQUE( `id_hp` ) ) CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ENGINE = InnoDB; ------------------------------------------------------------- INSERT into hostingproviders_stats_copy(id_hp, green_checks, green_domains) SELECT id_hp, green_checks, green_domains FROM hostingproviders_stats; DROP table hostingproviders_stats; ALTER table hostingproviders_stats_copy rename to hostingproviders_stats; COMMIT; """ )

38.058824

91

0.532457

122

1,294

5.459016

0.52459

0.189189

0.117117

0.054054

0.132132

0.081081

0

0.012048

0.358578

1,294

33

92

39.212121

0.790361

0

0.111429

0

1

0.111111

false

0

0.222222

0

0.555556

0

null

0

null

0

1

0

1

5a81a24952b6eed80c202bd9ff7db7e295855534

2,088

py

Python

piece.py

brouxco/quarto-solver

12ae87f43d4a80137cb4394de9c399d8f9894da3

[ "0BSD" ]

null

piece.py

brouxco/quarto-solver

12ae87f43d4a80137cb4394de9c399d8f9894da3

[ "0BSD" ]

null

piece.py

brouxco/quarto-solver

12ae87f43d4a80137cb4394de9c399d8f9894da3

[ "0BSD" ]

null

class Piece(object): def __init__(self, is_tall: bool = True, is_dark: bool = True, is_square: bool = True, is_solid: bool = True, string: str = None): if string: self.is_tall = (string[0] == "1") self.is_dark = (string[1] == "1") self.is_square = (string[2] == "1") self.is_solid = (string[3] == "1") else: self.is_tall = is_tall self.is_dark = is_dark self.is_square = is_square self.is_solid = is_solid def __str__(self): return "{0}{1}{2}{3}".format( '1' if self.is_tall else '0', '1' if self.is_dark else '0', '1' if self.is_square else '0', '1' if self.is_solid else '0' ) def __hash__(self): res = 0 res += 1 if self.is_tall else 0 res += 2 if self.is_dark else 0 res += 4 if self.is_square else 0 res += 8 if self.is_solid else 0 return res def __eq__(self, other_piece): if not isinstance(other_piece, type(self)): return False return self.__hash__() == other_piece.__hash__() def has_in_common_with(self, *other_pieces): all_pieces_are_as_tall = True all_pieces_are_as_dark = True all_pieces_are_as_square = True all_pieces_are_as_solid = True for p in other_pieces: if not(self.is_tall == p.is_tall): all_pieces_are_as_tall = False if not(self.is_dark == p.is_dark): all_pieces_are_as_dark = False if not(self.is_square == p.is_square): all_pieces_are_as_square = False if not(self.is_solid == p.is_solid): all_pieces_are_as_solid = False return (all_pieces_are_as_tall or all_pieces_are_as_dark or all_pieces_are_as_square or all_pieces_are_as_solid) if __name__ == "__main__": pass

32.625

56

0.531609

289

2,088

3.425606

0.16609

0.127273

0.145455

0.169697

0.442424

0.148485

0.036364

0

0.022256

0.375958

2,088

63

57

33.142857

0.737529

0

0.015326

0

1

0.090909

false

0.018182

0

0.018182

0.2

0

null

0

1

0

null

0

1

5a898eeb8ca1914311a3bfe38f233e0ef651e459

497

py

Python

src/test/model/test_node.py

AstrorEnales/GenCoNet

c596d31a889f14499883fcdf74fdc67f927a806e

[ "MIT" ]

2

2019-12-05T11:46:48.000Z

2022-03-09T00:11:06.000Z

src/test/model/test_node.py

AstrorEnales/GenCoNet

c596d31a889f14499883fcdf74fdc67f927a806e

[ "MIT" ]

null

src/test/model/test_node.py

AstrorEnales/GenCoNet

c596d31a889f14499883fcdf74fdc67f927a806e

[ "MIT" ]

null

import unittest from model import node class DummyNode(node.Node): def __init__(self, ids: [str], names: [str]): super().__init__(ids, names) self.primary_id_prefix = 'TEST' class TestMethods(unittest.TestCase): def test_label(self): n = DummyNode([], []) self.assertEqual(n.label, 'DummyNode') def test_str(self): n = DummyNode(['TEST:1'], ['test name']) self.assertEqual(str(n), 'DummyNode={ids: [TEST:1], names: ["test name"]}')

26.157895

83

0.615694

62

497

4.741935

0.403226

0.102041

0.095238

0

0.005128

0.215292

497

18

84

27.611111

0.748718

0

0.150905

0

0.153846

1

0.230769

false

0

0.153846

0

0.538462

0

null

0

null

0

1

0

1

ce4d63008769bb7f26121f3ebe84e27bc4d39e53

7,853

py

Python

tools/sprite-editor/gui/direction_sprite_widget.py

jordsti/stigame

6ac0ae737667b1c77da3ef5007f5c4a3a080045a

[ "MIT" ]

8

2015-02-03T20:23:49.000Z

2022-02-15T07:51:05.000Z

tools/sprite-editor/gui/direction_sprite_widget.py

jordsti/stigame

6ac0ae737667b1c77da3ef5007f5c4a3a080045a

[ "MIT" ]

null

tools/sprite-editor/gui/direction_sprite_widget.py

jordsti/stigame

6ac0ae737667b1c77da3ef5007f5c4a3a080045a

[ "MIT" ]

2

2017-02-13T18:04:00.000Z

2020-08-24T03:21:37.000Z

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'direction_sprite_widget.ui' # # Created: Wed Jul 30 18:37:40 2014 # by: PyQt4 UI code generator 4.10.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_direction_sprite_widget(object): def setupUi(self, direction_sprite_widget): direction_sprite_widget.setObjectName(_fromUtf8("direction_sprite_widget")) direction_sprite_widget.resize(566, 457) self.verticalLayoutWidget = QtGui.QWidget(direction_sprite_widget) self.verticalLayoutWidget.setGeometry(QtCore.QRect(0, 0, 561, 451)) self.verticalLayoutWidget.setObjectName(_fromUtf8("verticalLayoutWidget")) self.layout_main = QtGui.QVBoxLayout(self.verticalLayoutWidget) self.layout_main.setMargin(5) self.layout_main.setObjectName(_fromUtf8("layout_main")) self.layout_sprite_info = QtGui.QHBoxLayout() self.layout_sprite_info.setMargin(2) self.layout_sprite_info.setObjectName(_fromUtf8("layout_sprite_info")) self.gb_sprite = QtGui.QGroupBox(self.verticalLayoutWidget) self.gb_sprite.setMinimumSize(QtCore.QSize(250, 110)) self.gb_sprite.setObjectName(_fromUtf8("gb_sprite")) self.formLayoutWidget = QtGui.QWidget(self.gb_sprite) self.formLayoutWidget.setGeometry(QtCore.QRect(20, 20, 191, 74)) self.formLayoutWidget.setObjectName(_fromUtf8("formLayoutWidget")) self.formLayout = QtGui.QFormLayout(self.formLayoutWidget) self.formLayout.setMargin(0) self.formLayout.setObjectName(_fromUtf8("formLayout")) self.lbl_name = QtGui.QLabel(self.formLayoutWidget) self.lbl_name.setObjectName(_fromUtf8("lbl_name")) self.formLayout.setWidget(0, QtGui.QFormLayout.LabelRole, self.lbl_name) self.le_name = QtGui.QLineEdit(self.formLayoutWidget) self.le_name.setObjectName(_fromUtf8("le_name")) self.formLayout.setWidget(0, QtGui.QFormLayout.FieldRole, self.le_name) self.lbl_width = QtGui.QLabel(self.formLayoutWidget) self.lbl_width.setObjectName(_fromUtf8("lbl_width")) self.formLayout.setWidget(1, QtGui.QFormLayout.LabelRole, self.lbl_width) self.le_width = QtGui.QLineEdit(self.formLayoutWidget) self.le_width.setObjectName(_fromUtf8("le_width")) self.formLayout.setWidget(1, QtGui.QFormLayout.FieldRole, self.le_width) self.lbl_height = QtGui.QLabel(self.formLayoutWidget) self.lbl_height.setObjectName(_fromUtf8("lbl_height")) self.formLayout.setWidget(2, QtGui.QFormLayout.LabelRole, self.lbl_height) self.le_height = QtGui.QLineEdit(self.formLayoutWidget) self.le_height.setObjectName(_fromUtf8("le_height")) self.formLayout.setWidget(2, QtGui.QFormLayout.FieldRole, self.le_height) self.layout_sprite_info.addWidget(self.gb_sprite) self.gb_preview = QtGui.QGroupBox(self.verticalLayoutWidget) self.gb_preview.setMinimumSize(QtCore.QSize(120, 0)) self.gb_preview.setObjectName(_fromUtf8("gb_preview")) self.horizontalLayoutWidget = QtGui.QWidget(self.gb_preview) self.horizontalLayoutWidget.setGeometry(QtCore.QRect(10, 20, 121, 80)) self.horizontalLayoutWidget.setObjectName(_fromUtf8("horizontalLayoutWidget")) self.layout_preview = QtGui.QHBoxLayout(self.horizontalLayoutWidget) self.layout_preview.setMargin(0) self.layout_preview.setObjectName(_fromUtf8("layout_preview")) self.lbl_preview = QtGui.QLabel(self.horizontalLayoutWidget) self.lbl_preview.setObjectName(_fromUtf8("lbl_preview")) self.layout_preview.addWidget(self.lbl_preview) self.sp_fps = QtGui.QSpinBox(self.horizontalLayoutWidget) self.sp_fps.setMinimumSize(QtCore.QSize(40, 20)) self.sp_fps.setMaximumSize(QtCore.QSize(40, 20)) self.sp_fps.setMinimum(15) self.sp_fps.setMaximum(150) self.sp_fps.setObjectName(_fromUtf8("sp_fps")) self.layout_preview.addWidget(self.sp_fps) self.layout_sprite_info.addWidget(self.gb_preview) self.btn_add_frame = QtGui.QPushButton(self.verticalLayoutWidget) self.btn_add_frame.setMinimumSize(QtCore.QSize(120, 0)) self.btn_add_frame.setObjectName(_fromUtf8("btn_add_frame")) self.layout_sprite_info.addWidget(self.btn_add_frame) self.layout_main.addLayout(self.layout_sprite_info) self.horizontalLayout = QtGui.QHBoxLayout() self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) self.lbl_frames = QtGui.QLabel(self.verticalLayoutWidget) self.lbl_frames.setObjectName(_fromUtf8("lbl_frames")) self.horizontalLayout.addWidget(self.lbl_frames) self.formLayout_2 = QtGui.QFormLayout() self.formLayout_2.setFieldGrowthPolicy(QtGui.QFormLayout.AllNonFixedFieldsGrow) self.formLayout_2.setObjectName(_fromUtf8("formLayout_2")) self.cb_direction = QtGui.QComboBox(self.verticalLayoutWidget) self.cb_direction.setObjectName(_fromUtf8("cb_direction")) self.formLayout_2.setWidget(0, QtGui.QFormLayout.FieldRole, self.cb_direction) self.lbl_direction = QtGui.QLabel(self.verticalLayoutWidget) self.lbl_direction.setObjectName(_fromUtf8("lbl_direction")) self.formLayout_2.setWidget(0, QtGui.QFormLayout.LabelRole, self.lbl_direction) self.horizontalLayout.addLayout(self.formLayout_2) self.layout_main.addLayout(self.horizontalLayout) self.sa_frames = QtGui.QScrollArea(self.verticalLayoutWidget) self.sa_frames.setWidgetResizable(True) self.sa_frames.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignVCenter) self.sa_frames.setObjectName(_fromUtf8("sa_frames")) self.scrollAreaWidgetContents = QtGui.QWidget() self.scrollAreaWidgetContents.setGeometry(QtCore.QRect(0, 0, 549, 289)) self.scrollAreaWidgetContents.setObjectName(_fromUtf8("scrollAreaWidgetContents")) self.sa_frames.setWidget(self.scrollAreaWidgetContents) self.layout_main.addWidget(self.sa_frames) self.retranslateUi(direction_sprite_widget) QtCore.QMetaObject.connectSlotsByName(direction_sprite_widget) def retranslateUi(self, direction_sprite_widget): direction_sprite_widget.setWindowTitle(_translate("direction_sprite_widget", "Form", None)) self.gb_sprite.setTitle(_translate("direction_sprite_widget", "Sprite Information", None)) self.lbl_name.setText(_translate("direction_sprite_widget", "Name :", None)) self.lbl_width.setText(_translate("direction_sprite_widget", "Width :", None)) self.le_width.setText(_translate("direction_sprite_widget", "0", None)) self.lbl_height.setText(_translate("direction_sprite_widget", "Height :", None)) self.le_height.setText(_translate("direction_sprite_widget", "0", None)) self.gb_preview.setTitle(_translate("direction_sprite_widget", "Preview", None)) self.lbl_preview.setText(_translate("direction_sprite_widget", "P", None)) self.btn_add_frame.setText(_translate("direction_sprite_widget", "Add a frame...", None)) self.lbl_frames.setText(_translate("direction_sprite_widget", "Frame(s)", None)) self.lbl_direction.setText(_translate("direction_sprite_widget", "Direction :", None))

58.17037

99

0.741118

879

7,853

6.375427

0.166098

0.09743

0.086188

0.06424

0.365096

0.274268

0.154889

0.063526

0.029265

0

0.020574

0.152044

7,853

134

100

58.604478

0.820994

0.029033

0

0.05042

1

0

0.090861

0.045299

0

1

0.042017

false

0

0.008403

0.02521

0.084034

0

null

0

1

0

null

0

1

ce53b07d3a1a59be1abb2c6bf2cf0cd25eb7f425

562

py

Python

scripts/show_by_content_type.py

b-cube/Response-Identification-Info

d2fa24c9f0d7db7d8bbf5cda937e1a9dd29a8f6e

[ "MIT" ]

null

scripts/show_by_content_type.py

b-cube/Response-Identification-Info

d2fa24c9f0d7db7d8bbf5cda937e1a9dd29a8f6e

[ "MIT" ]

1

2015-09-23T16:30:34.000Z

scripts/show_by_content_type.py

b-cube/Response-Identification-Info

d2fa24c9f0d7db7d8bbf5cda937e1a9dd29a8f6e

[ "MIT" ]

1

2020-03-25T09:41:03.000Z

import os import glob import json for f in glob.glob('/Users/sparky/Documents/solr_responses/solr_20150922_docs/*.json'): with open(f, 'r') as g: data = json.loads(g.read()) headers = data.get('response_headers', []) if not headers: continue headers = dict( (k.strip().lower(), v.strip()) for k, v in (h.split(':', 1) for h in headers) ) content_type = headers.get('content-type', '') if content_type and 'shockwave' in content_type: print data.get('url'), content_type, data.get('tstamp')

28.1

87

0.617438

81

562

4.185185

0.530864

0.162242

0

0.020737

0.227758

562

19

88

29.578947

0.760369

0

0.199288

0.113879

0

null

0

0.2

null

0.066667

0

null

0

null

0

1

0

1

ce5f3e28692a3faeaa82556c686295cb266a77ee

300

py

Python

src/utils/regex_utils/regex_utils.py

BichengWang/python-notebook

83fae37432a2bf701566e85ab6d7e8e3d688a0ee

[ "MIT" ]

null

src/utils/regex_utils/regex_utils.py

BichengWang/python-notebook

83fae37432a2bf701566e85ab6d7e8e3d688a0ee

[ "MIT" ]

null

src/utils/regex_utils/regex_utils.py

BichengWang/python-notebook

83fae37432a2bf701566e85ab6d7e8e3d688a0ee

[ "MIT" ]

null

import re def find_indices(): return [m.start(0) for m in re.finditer(reg, content)] def find_content(): return re.findall(reg, content) if __name__ == "__main__": content = 'an example word:cat and word:dog' reg = r'word:\w' print(find_indices()) print(find_content())

17.647059

58

0.653333

45

300

4.088889

0.6

0.076087

0

0.004202

0.206667

300

16

59

18.75

0.768908

0

0.156667

0

1

0.2

false

0

0.1

0.2

0.5

0.2

0

null

0

null

0

1

0

1

ce6649c4f6c16cf45f7213f96f05b37dd34d751f

4,936

py

Python

test/test_hdf5.py

gonzalobg/hpc-container-maker

dd5486c3fbb0fce38d825173022908ef0f96f77e

[ "Apache-2.0" ]

1

2021-01-04T00:29:22.000Z

test/test_hdf5.py

gonzalobg/hpc-container-maker

dd5486c3fbb0fce38d825173022908ef0f96f77e

[ "Apache-2.0" ]

null

test/test_hdf5.py

gonzalobg/hpc-container-maker

dd5486c3fbb0fce38d825173022908ef0f96f77e

[ "Apache-2.0" ]

null

# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by 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. # pylint: disable=invalid-name, too-few-public-methods, bad-continuation """Test cases for the hdf5 module""" from __future__ import unicode_literals from __future__ import print_function import logging # pylint: disable=unused-import import unittest from helpers import centos, docker, ubuntu from hpccm.building_blocks.hdf5 import hdf5 class Test_hdf5(unittest.TestCase): def setUp(self): """Disable logging output messages""" logging.disable(logging.ERROR) @ubuntu @docker def test_defaults_ubuntu(self): """Default hdf5 building block""" h = hdf5() self.assertEqual(str(h), r'''# HDF5 version 1.10.6 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ bzip2 \ file \ make \ wget \ zlib1g-dev && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://www.hdfgroup.org/ftp/HDF5/releases/hdf5-1.10/hdf5-1.10.6/src/hdf5-1.10.6.tar.bz2 && \ mkdir -p /var/tmp && tar -x -f /var/tmp/hdf5-1.10.6.tar.bz2 -C /var/tmp -j && \ cd /var/tmp/hdf5-1.10.6 && ./configure --prefix=/usr/local/hdf5 --enable-cxx --enable-fortran && \ make -j$(nproc) && \ make -j$(nproc) install && \ rm -rf /var/tmp/hdf5-1.10.6 /var/tmp/hdf5-1.10.6.tar.bz2 ENV CPATH=/usr/local/hdf5/include:$CPATH \ HDF5_DIR=/usr/local/hdf5 \ LD_LIBRARY_PATH=/usr/local/hdf5/lib:$LD_LIBRARY_PATH \ LIBRARY_PATH=/usr/local/hdf5/lib:$LIBRARY_PATH \ PATH=/usr/local/hdf5/bin:$PATH''') @centos @docker def test_defaults_centos(self): """Default hdf5 building block""" h = hdf5() self.assertEqual(str(h), r'''# HDF5 version 1.10.6 RUN yum install -y \ bzip2 \ file \ make \ wget \ zlib-devel && \ rm -rf /var/cache/yum/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://www.hdfgroup.org/ftp/HDF5/releases/hdf5-1.10/hdf5-1.10.6/src/hdf5-1.10.6.tar.bz2 && \ mkdir -p /var/tmp && tar -x -f /var/tmp/hdf5-1.10.6.tar.bz2 -C /var/tmp -j && \ cd /var/tmp/hdf5-1.10.6 && ./configure --prefix=/usr/local/hdf5 --enable-cxx --enable-fortran && \ make -j$(nproc) && \ make -j$(nproc) install && \ rm -rf /var/tmp/hdf5-1.10.6 /var/tmp/hdf5-1.10.6.tar.bz2 ENV CPATH=/usr/local/hdf5/include:$CPATH \ HDF5_DIR=/usr/local/hdf5 \ LD_LIBRARY_PATH=/usr/local/hdf5/lib:$LD_LIBRARY_PATH \ LIBRARY_PATH=/usr/local/hdf5/lib:$LIBRARY_PATH \ PATH=/usr/local/hdf5/bin:$PATH''') @ubuntu @docker def test_ldconfig(self): """ldconfig option""" h = hdf5(ldconfig=True, version='1.10.4') self.assertEqual(str(h), r'''# HDF5 version 1.10.4 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ bzip2 \ file \ make \ wget \ zlib1g-dev && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://www.hdfgroup.org/ftp/HDF5/releases/hdf5-1.10/hdf5-1.10.4/src/hdf5-1.10.4.tar.bz2 && \ mkdir -p /var/tmp && tar -x -f /var/tmp/hdf5-1.10.4.tar.bz2 -C /var/tmp -j && \ cd /var/tmp/hdf5-1.10.4 && ./configure --prefix=/usr/local/hdf5 --enable-cxx --enable-fortran && \ make -j$(nproc) && \ make -j$(nproc) install && \ echo "/usr/local/hdf5/lib" >> /etc/ld.so.conf.d/hpccm.conf && ldconfig && \ rm -rf /var/tmp/hdf5-1.10.4 /var/tmp/hdf5-1.10.4.tar.bz2 ENV CPATH=/usr/local/hdf5/include:$CPATH \ HDF5_DIR=/usr/local/hdf5 \ LIBRARY_PATH=/usr/local/hdf5/lib:$LIBRARY_PATH \ PATH=/usr/local/hdf5/bin:$PATH''') @ubuntu @docker def test_runtime(self): """Runtime""" h = hdf5() r = h.runtime() self.assertEqual(r, r'''# HDF5 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ zlib1g && \ rm -rf /var/lib/apt/lists/* COPY --from=0 /usr/local/hdf5 /usr/local/hdf5 ENV CPATH=/usr/local/hdf5/include:$CPATH \ HDF5_DIR=/usr/local/hdf5 \ LD_LIBRARY_PATH=/usr/local/hdf5/lib:$LD_LIBRARY_PATH \ LIBRARY_PATH=/usr/local/hdf5/lib:$LIBRARY_PATH \ PATH=/usr/local/hdf5/bin:$PATH''')

37.393939

164

0.640194

772

4,936

4.034974

0.238342

0.024077

0.096308

0.030819

0.633066

0.624077

0.61862

0.613804

0.602889

0

0.047343

0.195502

4,936

131

165

37.679389

0.737094

0.167747

0

0.5

0

0.006985

0

0.117647

1

0.147059

false

0

0.176471

0

0.352941

0.029412

0

null

0

1

0

null

0

1

ce6e3c09a2e66420e8e9c581cff7e8f8d2db23fe

2,282

py

Python

config/test.py

nahidupa/grr

100a9d85ef2abb234e12e3ac2623caffb4116be7

[ "Apache-2.0" ]

1

2016-02-13T15:40:20.000Z

config/test.py

nahidupa/grr

100a9d85ef2abb234e12e3ac2623caffb4116be7

[ "Apache-2.0" ]

3

2020-02-11T22:29:15.000Z

2021-06-10T17:44:31.000Z

config/test.py

nahidupa/grr

100a9d85ef2abb234e12e3ac2623caffb4116be7

[ "Apache-2.0" ]

null

#!/usr/bin/env python """Configuration parameters for the test subsystem.""" import os from grr.lib import config_lib # Default for running in the current directory config_lib.DEFINE_constant_string( "Test.srcdir", os.path.normpath(os.path.dirname(__file__) + "/../.."), "The directory containing the source code.") config_lib.DEFINE_constant_string( "Test.data_dir", default="%(Test.srcdir)/grr/test_data", help="The directory where test data exist.") config_lib.DEFINE_constant_string( "Test.config", default="%(Test.srcdir)/grr/config/grr-server.yaml", help="The path where the test configuration file exists.") config_lib.DEFINE_constant_string( "Test.additional_test_config", default="%(Test.data_dir)/localtest.yaml", help="The path to a test config with local customizations.") config_lib.DEFINE_string("Test.tmpdir", "/tmp/", help="Somewhere to write temporary files.") config_lib.DEFINE_string("Test.data_store", "FakeDataStore", "The data store to run the tests against.") config_lib.DEFINE_integer("Test.remote_pdb_port", 2525, "Remote debugger port.") config_lib.DEFINE_list("Test.end_to_end_client_ids", [], "List of client ids to perform regular end_to_end tests" " on. These clients should be always on and connected" " to the network.") config_lib.DEFINE_list("Test.end_to_end_client_hostnames", [], "List of hostnames to perform regular end_to_end tests" " on. These clients should be always on and connected" " to the network.") config_lib.DEFINE_string("Test.end_to_end_result_check_wait", "50m", "rdfvalue.Duration string that determines how long we " "wait after starting the endtoend test hunt before we " "check the results. Should be long enough that all " "clients will have picked up the hunt, but not so " "long that the flow gets timed out.") config_lib.DEFINE_string("PrivateKeys.ca_key_raw_data", "", "For testing purposes.")

40.75

80

0.633655

288

2,282

4.815972

0.40625

0.077866

0.118962

0.06633

0.322278

0.279019

0.18385

0.141312

0

0.003599

0.2695

2,282

55

81

41.490909

0.828434

0.049956

0

0.2

0

0.524537

0.113426

0

1

0

true

0

0.05

0

0.05

0

null

0

null

0

1

0

1

ce70b641f16acd29f6ec6fd771bef13d60610bff

235

py

Python

zad1_6.py

kamilhabrych/python-semestr5-lista1

65faeffe83bcc4706b2818e2e7802d986b19244b

[ "MIT" ]

null

zad1_6.py

kamilhabrych/python-semestr5-lista1

65faeffe83bcc4706b2818e2e7802d986b19244b

[ "MIT" ]

null

zad1_6.py

kamilhabrych/python-semestr5-lista1

65faeffe83bcc4706b2818e2e7802d986b19244b

[ "MIT" ]

null

x = int(input('Podaj pierwsza liczbe calkowita: ')) y = int(input('Podaj druga liczbe calkowita: ')) z = int(input('Podaj trzecia liczbe calkowita: ')) print() if x > 10: print(x) if y > 10: print(y) if z > 10: print(z)

16.785714

51

0.617021

37

235

3.918919

0.378378

0.165517

0.268966

0

0.032787

0.221277

235

14

52

16.785714

0.759563

0

0.402542

0

1

0

false

0

0.4

0

null

0

1

0

null

0

1

ce70fc922ee9bc7104f6b739b1a14c96b849d90a

6,194

py

Python

modules/bulletinGenerator_Kingsgrove.py

featherbear/swec-elvanto-automation

7f330ca5a87623ca452170efb4845814a4fbc2ad

[ "MIT" ]

null

modules/bulletinGenerator_Kingsgrove.py

featherbear/swec-elvanto-automation

7f330ca5a87623ca452170efb4845814a4fbc2ad

[ "MIT" ]

null

modules/bulletinGenerator_Kingsgrove.py

featherbear/swec-elvanto-automation

7f330ca5a87623ca452170efb4845814a4fbc2ad

[ "MIT" ]

null

from mailmerge import MailMerge import re import os.path from ElvantoAPIExtensions import Enums, Helpers from modules.__stub__ import ModuleStub class Module(ModuleStub): __VERSION__ = "1.0" __NAME__ = "bulletinGenerator_Kingsgrove" # __executeTime__ = "16:00" # __executeDay__ = "thursday" settings = { "general": { "template": "", "serviceName": "", "pastorName": "", "pastorTelephone": "", "pastorEmail": "", }, } def validate(self): self._baseFolder = os.path.join("files", self.__NAME__) _templateFile = os.path.join(self._baseFolder, self.settings["general"]["template"]) if not os.path.isfile(_templateFile): raise self.ModuleException("Invalid template file path") self._templateFile = _templateFile def run(self): _serviceDate = Helpers.NextDate(Enums.Days.SUNDAY) import math weekNumber = int(math.ceil(_serviceDate.day / 7)) try: thisWeekServices = Helpers.ServicesOnDate(self.conn, _serviceDate, ["volunteers", "plans"]) thisWeekService = next( filter(lambda _: _.name == self.settings["general"]["serviceName"], thisWeekServices)) except Exception as e: if e.__class__.__name__ == "ConnectionError": print("Couldn't connect to Elvanto API") return False if type(e) == StopIteration: print("Couldn't find an upcoming service called \"%s\"" % self.settings["general"]["serviceName"]) return False print("An error occured:", e) def getWeeklyConfession(week: int): assert 1 <= week <= 5 confessionOne = """ Almighty and most merciful Father, You have loved us with an everlasting love, But we have gone our own way And have rejected you in thought, word, and deed. We are sorry for our sins And turn away from them For the sake of your Son who died for us, Forgive us, cleanse us and change us. By your Holy Spirit, enable us to live for you, And to please you more and more; Through Jesus Christ our Lord. Amen. """ confessionTwo = """ Most merciful God, we humbly admit that we need your help. We confess that we have wandered from your way: We have done wrong, and we have failed to do what is right. You alone can save us. Have mercy on us: Wipe out our sins and teach us to forgive others. Bring forth in us the fruit of the Spirit That we may live as disciples of Christ. This we ask in the name of Jesus our Saviour. Amen. """ confessionThree = """ Heavenly Father, We praise you for adopting us as your children And making us heirs of eternal life. In your mercy you have washed us from our sins And made us clean in your sight. Yet we still fail to love you as we should and serve you as we ought. Forgive us our sins and renew us by your grace, That we may continue to grow as members of Christ, In whom alone is our salvation. Amen. """ confessionFour = """ Merciful God, our maker and our judge, we have sinned against you in thought, word, and deed: we have not loved you with our whole heart, we have not loved our neighbours as ourselves: we repent, and are sorry for all our sins. Father, forgive us. Strengthen us to love and obey you in newness of life; through Jesus Christ our Lord. Amen """ confessionFive = """ Lord God, we have sinned against you; we have done evil in your sight. We are sorry and repent. Have mercy on us according to your love. Wash away our wrongdoing and cleanse us from our sin. Renew a right spirit within us and restore us to the joy of your salvation, through Jesus Christ our Lord. Amen. """ return [None, confessionOne, confessionTwo, confessionThree, confessionFour, confessionFive][ week].strip() stringify = lambda volunteerArray: ", ".join(map(repr, volunteerArray)) replacements = { "prettyDate": _serviceDate.strftime("%A, %#d %B %Y"), "branch": self.settings["general"]["serviceName"], "weeklyConfession": getWeeklyConfession(weekNumber), "pastorName": self.settings["general"]["pastorName"], "pastorTelephone": self.settings["general"]["pastorTelephone"], "pastorEmail": self.settings["general"]["pastorEmail"], "scripturePassage": None, "sermonPassage": None, "speaker": None, } map(print, thisWeekService.plan) scripturePassageItem = next(filter(lambda _: _.title.startswith("Bible Reading") and not _.title.startswith("Bible Reading (Sermon)"), thisWeekService.plan)) _scripturePassageItem = re.search('^Bible Reading (?:- )?(.*)$', scripturePassageItem.title) if _scripturePassageItem: replacements["scripturePassage"] = _scripturePassageItem.group(1) else: replacements["scripturePassage"] = re.sub('<.*?>', "", scripturePassageItem.description).strip() # Details in the title sermonPassageItem = next(filter(lambda _: _.title.startswith("Bible Reading (Sermon"), thisWeekService.plan)) replacements["sermonPassage"] = re.sub('<.*?>', "", sermonPassageItem.description).strip() replacements["speaker"] = stringify(thisWeekService.volunteers.byPositionName("Speaker")) with MailMerge(self._templateFile) as document: document.merge(**replacements) filePath = os.path.join(self._baseFolder, "SWEC %s - Bulletin %s.docx" % (self.settings["general"]["serviceName"], _serviceDate.strftime("%#d %B %Y"))) document.write(filePath)

41.293333

165

0.610268

685

6,194

5.436496

0.394161

0.036251

0.040816

0.032223

0.104458

0.080559

0.057197

0

0.002292

0.295609

6,194

149

166

41.57047

0.851249

0.011947

0

0.077519

0

0.007752

0.484303

0.004578

0

0.007752

1

0.023256

false

0.069767

0.046512

0

0.124031

0.031008

0

null

0

null

0

1

0

1

ce78d29afc746e1513a1eb1206ac1f0e6d11d03c

3,791

py

Python

powerfulseal/metriccollectors/prometheus_collector.py

snehalbiche/powerfulseal

4ab70e0db8f33bd390d87e65c662774991483726

[ "Apache-2.0" ]

1

2018-07-12T22:04:51.000Z

powerfulseal/metriccollectors/prometheus_collector.py

kz/powerfulseal

24276dd670777a72fed1780539ffe03f3bea63b9

[ "Apache-2.0" ]

null

powerfulseal/metriccollectors/prometheus_collector.py

kz/powerfulseal

24276dd670777a72fed1780539ffe03f3bea63b9

[ "Apache-2.0" ]

null

# Copyright 2018 Bloomberg Finance L.P. # # 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 prometheus_client import Counter from powerfulseal.metriccollectors import AbstractCollector from powerfulseal.metriccollectors.collector import NODE_SOURCE, POD_SOURCE STATUS_SUCCESS = 'success' STATUS_FAILURE = 'failure' # Define Prometheus metrics to be stored in the default registry POD_KILLS_METRIC_NAME = 'seal_pod_kills_total' POD_KILLS = Counter(POD_KILLS_METRIC_NAME, 'Number of pods killed (including failures)', ['status', 'namespace', 'name']) NODE_STOPS_METRIC_NAME = 'seal_nodes_stopped_total' NODE_STOPS = Counter(NODE_STOPS_METRIC_NAME, 'Number of nodes stopped (including failures)', ['status', 'uid', 'name']) EXECUTE_FAILED_METRIC_NAME = 'seal_execute_failed_total' EXECUTE_FAILURES = Counter(EXECUTE_FAILED_METRIC_NAME, 'Increasing counter for command execution failures', ['uid', 'name']) FILTERED_TO_EMPTY_SET_METRIC_NAME = 'seal_empty_filter_total' FILTERED_TO_EMPTY_SET = Counter(FILTERED_TO_EMPTY_SET_METRIC_NAME, 'Increasing counter for cases where filtering ' 'returns an empty result') PROBABILITY_FILTER_NOT_PASSED_METRIC_NAME = 'seal_probability_filter_not_passed_total' PROBABILITY_FILTER_NOT_PASSED = Counter(PROBABILITY_FILTER_NOT_PASSED_METRIC_NAME, 'Increasing counter for cases where the' ' probability filter does not pass any ' 'nodes') MATCHED_TO_EMPTY_SET_METRIC_NAME = 'seal_empty_match_total' MATCHED_TO_EMPTY_SET = Counter(MATCHED_TO_EMPTY_SET_METRIC_NAME, 'Increasing counter for cases where matching ' 'returns an empty result', ['source']) class PrometheusCollector(AbstractCollector): def __init__(self): # Export 0 for time series metrics which have labels which can have default # values filled to avoid missing metrics. The Prometheus Python library # already exports 0 for metrics which do not have any labels. MATCHED_TO_EMPTY_SET.labels(NODE_SOURCE).inc(0) MATCHED_TO_EMPTY_SET.labels(POD_SOURCE).inc(0) def add_pod_killed_metric(self, pod): POD_KILLS.labels(STATUS_SUCCESS, pod.namespace, pod.name).inc() def add_pod_kill_failed_metric(self, pod): POD_KILLS.labels(STATUS_FAILURE, pod.namespace, pod.name).inc() def add_node_stopped_metric(self, node): NODE_STOPS.labels(STATUS_SUCCESS, node.uid, node.name).inc() def add_node_stop_failed_metric(self, node): NODE_STOPS.labels(STATUS_FAILURE, node.uid, node.name).inc() def add_execute_failed_metric(self, node): EXECUTE_FAILURES.labels(node.uid, node.name).inc() def add_filtered_to_empty_set_metric(self): FILTERED_TO_EMPTY_SET.inc() def add_probability_filter_passed_no_nodes_filter(self): PROBABILITY_FILTER_NOT_PASSED.inc() def add_matched_to_empty_set_metric(self, source): MATCHED_TO_EMPTY_SET.labels(source).inc()

42.595506

86

0.69665

483

3,791

5.161491

0.306418

0.048135

0.047734

0.287204

0.222222

0.185319

0.040112

0

0.004129

0.233448

3,791

88

87

43.079545

0.853751

0.217884

0

0.191381

0.04547

0

1

0.176471

false

0.098039

0.058824

0

0.254902

0

null

0

null

0

1

0

1

ce7dcfa1ba0e4b637228e061f83bafab463cb61b

766

py

Python

servoblst.py

ForToffee/MeArm

90fdd94fd96b53b3579c6d8132e8586188e3d344

[ "MIT" ]

1

2016-04-04T17:39:54.000Z

servoblst.py

ForToffee/MeArm

90fdd94fd96b53b3579c6d8132e8586188e3d344

[ "MIT" ]

null

servoblst.py

ForToffee/MeArm

90fdd94fd96b53b3579c6d8132e8586188e3d344

[ "MIT" ]

null

import time import os servos = {} class ServoController: def __init__(self): os.system('sudo /home/pi/PiBits/ServoBlaster/user/servod') def setAngle(self, servo_id, degrees): if degrees > 90: degrees = 90 elif degrees < -90: degrees = -90 #http://www.raspberrypi.org/forums/viewtopic.php?f=44&t=36572 pulse = 1520 + (degrees * 400) / 45 os.system("echo %d=%d > /dev/servoblaster" % (servo_id, pulse/10)) time.sleep(0.1) servos[servo_id] = degrees #print "angle=%s pulse=%s" % (degrees, pulse) return servos[servo_id] def incAngle(self, servo_id, increment): angle = servos.get(servo_id, 0) return self.setAngle(servo_id, angle + increment) def clean_up(self): print "cleaning up" os.system('sudo killall servod')

22.529412

68

0.680157

112

766

4.544643

0.508929

0.096267

0.047151

0.070727

0

0.045886

0.174935

766

33

69

23.212121

0.759494

0.13577

0

0.159091

0.060606

0

null

0

0.090909

null

0.045455

0

null

0

null

0

1

0

1

ce815d6c526703afd41758b750594101532e6d14

724

py

Python

warmup/sock_merchant.py

franloza/hackerrank

e66f5f5c4c1c7c0fe93146d29140692cd71625b7

[ "MIT" ]

null

warmup/sock_merchant.py

franloza/hackerrank

e66f5f5c4c1c7c0fe93146d29140692cd71625b7

[ "MIT" ]

null

warmup/sock_merchant.py

franloza/hackerrank

e66f5f5c4c1c7c0fe93146d29140692cd71625b7

[ "MIT" ]

null

#!/bin/python3 import math import os import random import re import sys # Complete the sockMerchant function below. def sockMerchant(n, ar): socks = {} for elem in ar: if elem in socks: socks[elem] += 1 else: socks[elem] = 1 return sum(elem // 2 for elem in socks.values()) # Read from input # if __name__ == '__main__': # fptr = open(os.environ['OUTPUT_PATH'], 'w') # # n = int(input()) # # ar = list(map(int, input().rstrip().split())) # # result = sockMerchant(n, ar) # # fptr.write(str(result) + '\n') # # fptr.close() # Toy case if __name__ == '__main__': n, ar = 9, [10, 20, 20, 10, 10, 30, 50, 10, 20] print(sockMerchant(n, ar))

19.567568

52

0.56768

101

724

3.90099

0.544554

0.030457

0.114213

0

0.043478

0.269337

724

36

53

20.111111

0.701323

0.429558

0

0.020151

0

1

0.0625

false

0

0.3125

0

0.4375

0.0625

0

null

0

null

0

1

0

1

ce882279c49c7c6dbe430df86a631892b7154111

3,342

py

Python

tests/zzz_deprecated_unmaintained/obsmodel/TestZeroMeanGaussLocalStepSpeed.py

HongminWu/bnpy

04c918cc1150ca8d9694c093633d539d9286a1b6

[ "BSD-3-Clause" ]

3

2018-07-02T03:50:23.000Z

2019-05-16T03:23:55.000Z

tests/zzz_deprecated_unmaintained/obsmodel/TestZeroMeanGaussLocalStepSpeed.py

HongminWu/bnpy

04c918cc1150ca8d9694c093633d539d9286a1b6

[ "BSD-3-Clause" ]

1

2021-01-07T01:33:06.000Z

tests/zzz_deprecated_unmaintained/obsmodel/TestZeroMeanGaussLocalStepSpeed.py

birlrobotics/bnpy

8f297d8f3e4a56088d7755134c329f63a550be9e

[ "BSD-3-Clause" ]

1

2020-09-01T13:21:18.000Z

import numpy as np import scipy.linalg import argparse import time from contextlib import contextmanager def measureTime(f, nTrial=3): def f_timer(*args, **kwargs): times = list() for rep in range(nTrial): start = time.time() result = f(*args, **kwargs) end = time.time() times.append(end-start) if rep == 0: print "trial %2d/%2d: %.3f sec %s" % ( rep+1, nTrial, times[-1], f.__name__) else: print "trial %2d/%2d: %.3f sec" % ( rep+1, nTrial, times[-1]) print "mean of %2d: %.3f sec" % ( nTrial, np.mean(times)) print "median of %2d: %.3f sec" % ( nTrial, np.median(times)) print '' return result return f_timer @measureTime def mahalDist_np_solve(X=None, B=None, cholB=None): ''' Compute mahalanobis the old fashioned way. ''' if B is not None: cholB = np.linalg.cholesky(B) Q = np.linalg.solve(cholB, X.T) return Q @measureTime def mahalDist_scipy_solve(X=None, B=None, cholB=None): ''' Compute mahalanobis the old fashioned way. ''' if B is not None: cholB = np.linalg.cholesky(B) Q = scipy.linalg.solve(cholB, X.T) return Q @measureTime def mahalDist_scipy_solve_triangular(X=None, B=None, cholB=None): ''' Compute mahalanobis with triangular method ''' if B is not None: cholB = np.linalg.cholesky(B) Q = scipy.linalg.solve_triangular(cholB, X.T, lower=True) return Q @measureTime def mahalDist_scipy_solve_triangular_nocheck( X=None, B=None, cholB=None): ''' Compute mahalanobis with triangular method ''' if B is not None: cholB = np.linalg.cholesky(B) Q = scipy.linalg.solve_triangular( cholB, X.T, lower=True, check_finite=False) return Q if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument('--N', type=int, default=1e5) parser.add_argument('--D', type=int, default=64) args = parser.parse_args() N = args.N D = args.D print "TIMING TEST: N=%d D=%d" % (N, D) X = np.random.randn(N, D) R = np.random.randn(D, D) B = np.dot(R.T, R) + np.eye(D, D) cholB = np.linalg.cholesky(B) mahalDist_np_solve(X=X, cholB=cholB) mahalDist_scipy_solve(X=X, cholB=cholB) mahalDist_scipy_solve_triangular(X=X, cholB=cholB) mahalDist_scipy_solve_triangular_nocheck(X=X, cholB=cholB) """ In [41]: Qs = scipy.linalg.solve_triangular(cholB, X.T, lower=True, check_finite=False) In [42]: %timeit -n1 -r1 Q = scipy.linalg.solve_triangular(cholB, X.T, lower=True, check_finite=False) 1 loops, best of 1: 625 ms per loop In [43]: %timeit -n1 -r1 Q = scipy.linalg.solve_triangular(cholB, X.T, lower=True, check_finite=False) 1 loops, best of 1: 623 ms per loop In [44]: %timeit -n1 -r1 Q = scipy.linalg.solve_triangular(cholB, X.T, lower=True) 1 loops, best of 1: 790 ms per loop In [45]: %timeit -n1 -r1 Q = scipy.linalg.solve_triangular(cholB, X.T, lower=True) 1 loops, best of 1: 799 ms per loop In [46]: %timeit -n1 -r1 Q = scipy.linalg.solve(cholB, X.T) 1 loops, best of 1: 1.26 s per loop In [47]: %timeit -n1 -r1 Q = scipy.linalg.solve(cholB, X.T) 1 loops, best of 1: 1.26 s per loop """

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ce8f967c1a3e2320cb9057b9e55d32dfed9aae91

2,019

py

Python

app/python/query_strings.py

ProfessorUdGuru/toykinter

66c0a9877df6b4b3034125566e687b7361085d2b

[ "Unlicense" ]

null

app/python/query_strings.py

ProfessorUdGuru/toykinter

66c0a9877df6b4b3034125566e687b7361085d2b

[ "Unlicense" ]

null

app/python/query_strings.py

ProfessorUdGuru/toykinter

66c0a9877df6b4b3034125566e687b7361085d2b

[ "Unlicense" ]

null

# query_strings.py ''' Since Sqlite queries are inserted as string in Python code, the queries can be stored here to save space in the modules where they are used. ''' delete_color_scheme = ''' DELETE FROM color_scheme WHERE color_scheme_id = ? ''' insert_color_scheme = ''' INSERT INTO color_scheme VALUES (null, ?, ?, ?, ?, 0, 0) ''' select_all_color_schemes = ''' SELECT bg, highlight_bg, head_bg, fg FROM color_scheme ''' select_all_color_schemes_plus = ''' SELECT bg, highlight_bg, head_bg, fg, built_in, color_scheme_id FROM color_scheme ''' select_color_scheme_current = ''' SELECT bg, highlight_bg, head_bg, fg FROM format WHERE format_id = 1 ''' select_current_database = ''' SELECT current_database FROM closing_state WHERE closing_state_id = 1 ''' select_font_scheme = ''' SELECT font_size, output_font, input_font FROM format WHERE format_id = 1 ''' select_opening_settings = ''' SELECT bg, highlight_bg, head_bg, fg, output_font, input_font, font_size, default_bg, default_highlight_bg, default_head_bg, default_fg, default_output_font, default_input_font, default_font_size FROM format WHERE format_id = 1 ''' update_color_scheme_null = ''' UPDATE format SET (bg, highlight_bg, head_bg, fg) = (null, null, null, null) WHERE format_id = 1 ''' update_current_database = ''' UPDATE closing_state SET current_database = ? WHERE closing_state_id = 1 ''' update_format_color_scheme = ''' UPDATE format SET (bg, highlight_bg, head_bg, fg) = (?, ?, ?, ?) WHERE format_id = 1 ''' update_format_fonts = ''' UPDATE format SET (font_size, output_font, input_font) = (?, ?, ?) WHERE format_id = 1 '''

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ce90ad08ae1e89a4b497c7dcbd24f5d92a0ba879

428

py

Python

travel/migrations/0029_auto_20190514_2108.py

sausage-team/travel-notes

3c2454ebad7764906c5ff30cbdfe296cb7c64eb4

[ "MIT" ]

null

travel/migrations/0029_auto_20190514_2108.py

sausage-team/travel-notes

3c2454ebad7764906c5ff30cbdfe296cb7c64eb4

[ "MIT" ]

null

travel/migrations/0029_auto_20190514_2108.py

sausage-team/travel-notes

3c2454ebad7764906c5ff30cbdfe296cb7c64eb4

[ "MIT" ]

null

# Generated by Django 2.2.1 on 2019-05-14 13:08 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('travel', '0028_auto_20190514_1929'), ] operations = [ migrations.AlterField( model_name='user', name='uid', field=models.CharField(default='b8554d6d-264a-4ce7-bd9b-a2e1e218a13d', max_length=40), ), ]

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0

null

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1

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null

0

1

ce9550e5fc7912aecc7ac103430d2e2845e818b7

12,566

gyp

Python

ui/gfx/gfx.gyp

cvsuser-chromium/chromium

acb8e8e4a7157005f527905b48dd48ddaa3b863a

[ "BSD-3-Clause" ]

4

2017-04-05T01:51:34.000Z

2018-02-15T03:11:54.000Z

ui/gfx/gfx.gyp

cvsuser-chromium/chromium

acb8e8e4a7157005f527905b48dd48ddaa3b863a

[ "BSD-3-Clause" ]

1

2021-12-13T19:44:12.000Z

ui/gfx/gfx.gyp

cvsuser-chromium/chromium

acb8e8e4a7157005f527905b48dd48ddaa3b863a

[ "BSD-3-Clause" ]

4

2017-04-05T01:52:03.000Z

2022-02-13T17:58:45.000Z

# Copyright (c) 2013 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. { 'variables': { 'chromium_code': 1, }, 'targets': [ { 'target_name': 'gfx', 'type': '<(component)', 'dependencies': [ '<(DEPTH)/base/base.gyp:base', '<(DEPTH)/base/base.gyp:base_i18n', '<(DEPTH)/base/base.gyp:base_static', '<(DEPTH)/base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations', '<(DEPTH)/net/net.gyp:net', '<(DEPTH)/skia/skia.gyp:skia', '<(DEPTH)/third_party/icu/icu.gyp:icui18n', '<(DEPTH)/third_party/icu/icu.gyp:icuuc', '<(DEPTH)/third_party/libpng/libpng.gyp:libpng', '<(DEPTH)/third_party/zlib/zlib.gyp:zlib', '<(DEPTH)/url/url.gyp:url_lib', ], # text_elider.h includes ICU headers. 'export_dependent_settings': [ '<(DEPTH)/skia/skia.gyp:skia', '<(DEPTH)/third_party/icu/icu.gyp:icui18n', '<(DEPTH)/third_party/icu/icu.gyp:icuuc', ], 'defines': [ 'GFX_IMPLEMENTATION', ], 'sources': [ 'android/device_display_info.cc', 'android/device_display_info.h', 'android/gfx_jni_registrar.cc', 'android/gfx_jni_registrar.h', 'android/java_bitmap.cc', 'android/java_bitmap.h', 'android/shared_device_display_info.cc', 'android/shared_device_display_info.h', 'animation/animation.cc', 'animation/animation.h', 'animation/animation_container.cc', 'animation/animation_container.h', 'animation/animation_container_element.h', 'animation/animation_container_observer.h', 'animation/animation_delegate.h', 'animation/linear_animation.cc', 'animation/linear_animation.h', 'animation/multi_animation.cc', 'animation/multi_animation.h', 'animation/slide_animation.cc', 'animation/slide_animation.h', 'animation/throb_animation.cc', 'animation/throb_animation.h', 'animation/tween.cc', 'animation/tween.h', 'blit.cc', 'blit.h', 'box_f.cc', 'box_f.h', 'break_list.h', 'canvas.cc', 'canvas.h', 'canvas_android.cc', 'canvas_paint_gtk.cc', 'canvas_paint_gtk.h', 'canvas_paint_mac.h', 'canvas_paint_mac.mm', 'canvas_paint_win.cc', 'canvas_paint_win.h', 'canvas_skia.cc', 'canvas_skia_paint.h', 'codec/jpeg_codec.cc', 'codec/jpeg_codec.h', 'codec/png_codec.cc', 'codec/png_codec.h', 'color_analysis.cc', 'color_analysis.h', 'color_profile.cc', 'color_profile.h', 'color_profile_mac.cc', 'color_profile_win.cc', 'color_utils.cc', 'color_utils.h', 'display.cc', 'display.h', 'display_observer.cc', 'display_observer.h', 'favicon_size.cc', 'favicon_size.h', 'frame_time.h', 'font.cc', 'font.h', 'font_fallback_win.cc', 'font_fallback_win.h', 'font_list.cc', 'font_list.h', 'font_render_params_android.cc', 'font_render_params_linux.cc', 'font_render_params_linux.h', 'font_smoothing_win.cc', 'font_smoothing_win.h', 'gfx_export.h', 'gfx_paths.cc', 'gfx_paths.h', 'gpu_memory_buffer.cc', 'gpu_memory_buffer.h', 'image/canvas_image_source.cc', 'image/canvas_image_source.h', 'image/image.cc', 'image/image.h', 'image/image_family.cc', 'image/image_family.h', 'image/image_ios.mm', 'image/image_mac.mm', 'image/image_png_rep.cc', 'image/image_png_rep.h', 'image/image_skia.cc', 'image/image_skia.h', 'image/image_skia_operations.cc', 'image/image_skia_operations.h', 'image/image_skia_rep.cc', 'image/image_skia_rep.h', 'image/image_skia_source.h', 'image/image_skia_util_ios.h', 'image/image_skia_util_ios.mm', 'image/image_skia_util_mac.h', 'image/image_skia_util_mac.mm', 'image/image_util.cc', 'image/image_util.h', 'image/image_util_ios.mm', 'insets.cc', 'insets.h', 'insets_base.h', 'insets_f.cc', 'insets_f.h', 'interpolated_transform.cc', 'interpolated_transform.h', 'mac/scoped_ns_disable_screen_updates.h', 'matrix3_f.cc', 'matrix3_f.h', 'native_widget_types.h', 'ozone/dri/dri_skbitmap.cc', 'ozone/dri/dri_skbitmap.h', 'ozone/dri/dri_surface.cc', 'ozone/dri/dri_surface.h', 'ozone/dri/dri_surface_factory.cc', 'ozone/dri/dri_surface_factory.h', 'ozone/dri/dri_wrapper.cc', 'ozone/dri/dri_wrapper.h', 'ozone/dri/hardware_display_controller.cc', 'ozone/dri/hardware_display_controller.h', 'ozone/impl/file_surface_factory.cc', 'ozone/impl/file_surface_factory.h', 'ozone/surface_factory_ozone.cc', 'ozone/surface_factory_ozone.h', 'pango_util.cc', 'pango_util.h', 'path.cc', 'path.h', 'path_aura.cc', 'path_gtk.cc', 'path_win.cc', 'path_win.h', 'path_x11.cc', 'path_x11.h', 'platform_font.h', 'platform_font_android.cc', 'platform_font_ios.h', 'platform_font_ios.mm', 'platform_font_mac.h', 'platform_font_mac.mm', 'platform_font_ozone.cc', 'platform_font_pango.cc', 'platform_font_pango.h', 'platform_font_win.cc', 'platform_font_win.h', 'point.cc', 'point.h', 'point3_f.cc', 'point3_f.h', 'point_base.h', 'point_conversions.cc', 'point_conversions.h', 'point_f.cc', 'point_f.h', 'quad_f.cc', 'quad_f.h', 'range/range.cc', 'range/range.h', 'range/range_mac.mm', 'range/range_win.cc', 'rect.cc', 'rect.h', 'rect_base.h', 'rect_base_impl.h', 'rect_conversions.cc', 'rect_conversions.h', 'rect_f.cc', 'rect_f.h', 'render_text.cc', 'render_text.h', 'render_text_mac.cc', 'render_text_mac.h', 'render_text_ozone.cc', 'render_text_pango.cc', 'render_text_pango.h', 'render_text_win.cc', 'render_text_win.h', 'safe_integer_conversions.h', 'scoped_canvas.h', 'scoped_cg_context_save_gstate_mac.h', 'scoped_ns_graphics_context_save_gstate_mac.h', 'scoped_ns_graphics_context_save_gstate_mac.mm', 'scoped_ui_graphics_push_context_ios.h', 'scoped_ui_graphics_push_context_ios.mm', 'screen.cc', 'screen.h', 'screen_android.cc', 'screen_aura.cc', 'screen_gtk.cc', 'screen_ios.mm', 'screen_mac.mm', 'screen_win.cc', 'screen_win.h', 'scrollbar_size.cc', 'scrollbar_size.h', 'selection_model.cc', 'selection_model.h', 'sequential_id_generator.cc', 'sequential_id_generator.h', 'shadow_value.cc', 'shadow_value.h', 'size.cc', 'size.h', 'size_base.h', 'size_conversions.cc', 'size_conversions.h', 'size_f.cc', 'size_f.h', 'skbitmap_operations.cc', 'skbitmap_operations.h', 'skia_util.cc', 'skia_util.h', 'skia_utils_gtk.cc', 'skia_utils_gtk.h', 'switches.cc', 'switches.h', 'sys_color_change_listener.cc', 'sys_color_change_listener.h', 'text_constants.h', 'text_elider.cc', 'text_elider.h', 'text_utils.cc', 'text_utils.h', 'text_utils_android.cc', 'text_utils_ios.mm', 'text_utils_skia.cc', 'transform.cc', 'transform.h', 'transform_util.cc', 'transform_util.h', 'utf16_indexing.cc', 'utf16_indexing.h', 'vector2d.cc', 'vector2d.h', 'vector2d_conversions.cc', 'vector2d_conversions.h', 'vector2d_f.cc', 'vector2d_f.h', 'vector3d_f.cc', 'vector3d_f.h', 'win/dpi.cc', 'win/dpi.h', 'win/hwnd_util.cc', 'win/hwnd_util.h', 'win/scoped_set_map_mode.h', 'win/singleton_hwnd.cc', 'win/singleton_hwnd.h', 'win/window_impl.cc', 'win/window_impl.h', 'x/x11_atom_cache.cc', 'x/x11_atom_cache.h', 'x/x11_types.cc', 'x/x11_types.h', ], 'conditions': [ ['OS=="ios"', { # iOS only uses a subset of UI. 'sources/': [ ['exclude', '^codec/jpeg_codec\\.cc$'], ], }, { 'dependencies': [ '<(libjpeg_gyp_path):libjpeg', ], }], # TODO(asvitkine): Switch all platforms to use canvas_skia.cc. # http://crbug.com/105550 ['use_canvas_skia==1', { 'sources!': [ 'canvas_android.cc', ], }, { # use_canvas_skia!=1 'sources!': [ 'canvas_skia.cc', ], }], ['toolkit_uses_gtk == 1', { 'dependencies': [ '<(DEPTH)/build/linux/system.gyp:gtk', ], 'sources': [ 'gtk_native_view_id_manager.cc', 'gtk_native_view_id_manager.h', 'gtk_preserve_window.cc', 'gtk_preserve_window.h', 'gdk_compat.h', 'gtk_compat.h', 'gtk_util.cc', 'gtk_util.h', 'image/cairo_cached_surface.cc', 'image/cairo_cached_surface.h', 'scoped_gobject.h', ], }], ['OS=="win"', { 'sources': [ 'gdi_util.cc', 'gdi_util.h', 'icon_util.cc', 'icon_util.h', ], # TODO(jschuh): C4267: http://crbug.com/167187 size_t -> int # C4324 is structure was padded due to __declspec(align()), which is # uninteresting. 'msvs_disabled_warnings': [ 4267, 4324 ], }], ['OS=="android"', { 'sources!': [ 'animation/throb_animation.cc', 'display_observer.cc', 'path.cc', 'selection_model.cc', ], 'dependencies': [ 'gfx_jni_headers', ], 'link_settings': { 'libraries': [ '-landroid', '-ljnigraphics', ], }, }], ['OS=="android" and android_webview_build==0', { 'dependencies': [ '<(DEPTH)/base/base.gyp:base_java', ], }], ['OS=="android" or OS=="ios"', { 'sources!': [ 'render_text.cc', 'render_text.h', 'text_utils_skia.cc', ], }], ['use_pango==1', { 'dependencies': [ '<(DEPTH)/build/linux/system.gyp:pangocairo', ], }], ['ozone_platform_dri==1', { 'dependencies': [ '<(DEPTH)/build/linux/system.gyp:dridrm', ], }], ], 'target_conditions': [ # Need 'target_conditions' to override default filename_rules to include # the file on iOS. ['OS == "ios"', { 'sources/': [ ['include', '^scoped_cg_context_save_gstate_mac\\.h$'], ], }], ], } ], 'conditions': [ ['OS=="android"' , { 'targets': [ { 'target_name': 'gfx_jni_headers', 'type': 'none', 'direct_dependent_settings': { 'include_dirs': [ '<(SHARED_INTERMEDIATE_DIR)/ui/gfx', ], }, 'sources': [ '../android/java/src/org/chromium/ui/gfx/BitmapHelper.java', '../android/java/src/org/chromium/ui/gfx/DeviceDisplayInfo.java', ], 'variables': { 'jni_gen_package': 'ui/gfx', 'jni_generator_ptr_type': 'long', }, 'includes': [ '../../build/jni_generator.gypi' ], }, ], }], ], }

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ceac7c7a86d7f596354c9e7181c0d362a2bc878a

1,478

py

Python

tests/test_mangling.py

ecoinvent/brightway2-parameters

0b42466bf33655087e231364a7d677c6c114a046

[ "BSD-3-Clause" ]

null

tests/test_mangling.py

ecoinvent/brightway2-parameters

0b42466bf33655087e231364a7d677c6c114a046

[ "BSD-3-Clause" ]

1

2019-12-26T15:18:49.000Z

tests/test_mangling.py

ecoinvent/brightway2-parameters

0b42466bf33655087e231364a7d677c6c114a046

[ "BSD-3-Clause" ]

1

2021-07-05T12:14:49.000Z

from bw2parameters import * def test_mangle_formula(): given = "log(foo * bar) + 7 / baz" prefix = "pre" assert mangle_formula(given, prefix, ['bar']) == '(log((pre__foo * bar)) + (7 / pre__baz))' def test_prefix_parameter_dict(): given = { 'a': {'formula': 'a + b / c', 'foo': True}, 'b': {'formula': '2 * a - exp(7 - b)'}, 'catch': {} } expected = { 't_a': {'formula': '(t_a + (t_b / c))', 'foo': True, 'original': 'a'}, 't_b': {'formula': '((2 * t_a) - exp((7 - t_b)))', 'original': 'b'}, 't_catch': {'original': 'catch'} } substitutions = {'a': 't_a', 'b': 't_b', 'catch': 't_catch'} assert prefix_parameter_dict(given, "t_") == (expected, substitutions) def test_chain_prefix_parameter_dict(): given = {'a': {'formula': 'a + b / c'}} g_copy = {'a': {'formula': 'a + b / c'}} expected = { 't_a': {'formula': '(t_a + (b / c))', 'original': 'a'}, } substitutions = {'a': 't_a'} assert prefix_parameter_dict(given, "t_") == (expected, substitutions) assert given == g_copy given, _ = prefix_parameter_dict(given, "t_") s1 = {'b': 'dog'} r1 = substitute_in_formulas(given, s1) expected = {'t_a': {'formula': '(t_a + (dog / c))', 'original': 'a'}} assert r1 == expected s2 = {'c': 'cat'} r2 = substitute_in_formulas(r1, s2) expected = {'t_a': {'formula': '(t_a + (dog / cat))', 'original': 'a'}} assert r2 == expected

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null

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null

0

1

ceb07de7a23c054666d87af2b849db00c172593e

819

py

Python

Config/Texts/NFSW/NFSW.py

amiralirj/DarkHelper

386eea58eb6b9766d6f900a83f87eeac0b8f09c2

[ "MIT" ]

34

2021-08-05T12:41:18.000Z

2021-11-30T22:23:20.000Z

Config/Texts/NFSW/NFSW.py

amiralirj/DarkHelper

386eea58eb6b9766d6f900a83f87eeac0b8f09c2

[ "MIT" ]

2

2021-08-29T10:32:02.000Z

2021-08-31T12:10:29.000Z

Config/Texts/NFSW/NFSW.py

amiralirj/DarkHelper

386eea58eb6b9766d6f900a83f87eeac0b8f09c2

[ "MIT" ]

5

2021-08-07T07:41:44.000Z

2021-08-20T13:52:36.000Z

NFSW_Texts = [ 'سکس' ,'گایید' ,' کص' ,'جنده' ,'کیر' ,'jnde' ,'jende' ,'kos' ,'pussy' ,'kir' ,'lashi' ,'لاشی' ,'jakesh' ,'جاکش' ,'مادر خراب' ,'madar kharab' ,'mde kharab' ,'khar kose' ,'fuck' ,'bitch' ,'haroomzade' ,'حرومی' ,'حرامزاده' ,'حرومزاده' ,'جندس' ,'کصه ' ] NFSW_Names=[ 'خاله' ,'جنده' ,"کص" ,"کیر" ,"ساعتی" ,"اوف" ,"💦💦💦💦" ,"سوپر" ,"فیلم" ,"بیو" ,"حضوری" ,"مکان" ] Porn={'dick':'Male Genitalia - Exposed', 'pussy':'Female Genitalia - Exposed', 'coveredpossy':'Female Genitalia - Covered', 'fboobs':'Female Breast - Exposed', 'mboobs':'Male Breast - Exposed', 'coveredboobs':'Female Breast - Covered', 'stomack':'Male Breast - Covered', 'baghal':'Male Breast - Exposed', 'ass':'Buttocks - Exposed', 'feet':'404NotFound', 'coveredass':'Buttocks - Covered'}

14.625

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false

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null

0

1

0

null

0

1

cec69b53aae0a98c800aee68729ab0b6f22dfd50

1,976

py

Python

cli/asciiart.py

Christophe1997/pyramid

d135c86329b6527d54535d95c0db8b5d2da6cc8c

[ "Apache-2.0" ]

null

cli/asciiart.py

Christophe1997/pyramid

d135c86329b6527d54535d95c0db8b5d2da6cc8c

[ "Apache-2.0" ]

null

cli/asciiart.py

Christophe1997/pyramid

d135c86329b6527d54535d95c0db8b5d2da6cc8c

[ "Apache-2.0" ]

null

#! /usr/bin/env python3 """Convert picture to asciiArt, requrie python3.6 or higher. Dependence: - fire - PIL - numpy Usage: - chmod +x asciiart.py - asciiart.py ${path_to_image} [Height] [Width] Also, you can remove the filetype ".py" and put it to $HOME/bin/ then enjoy it:) One example: *&&&&&&&&&&&&&&&&&&&&&+ &&&$ &&&&&&&&&&&&&&&&&% &&&&&%&&&&&&&&&&&&&&&&&&&$ %%%%%%%%%%%%%&&&&&&&&$$$$$ +&&&&&&&&&&&&&&&&&&&&&&&$&&&$$$$$$$$ ****** *** &&&&&&&&&&&&&&&&&&&&&&&&&&&&$$$$$$$$$$************* &&&&&&&&&&&&&&&&&&&&&&&&&&&$$$$$$$$$&$%************* *&&&&&&&&&&&&&&&&&&&&&&&&&&$$$$$$$$$# **************** +&&&&&&&&&&&&&$%************************************** &&&&&&&&&&&&** ************************************** *&&&&&&&&&&$ *************************************** +&&&&&&&&$ ************************************* ************************** ************************** ****************** **** +********************+ """ import fire from PIL import Image import numpy as np import sys class AsciiArt: DEFAULT_HEIGHT = 20 DEFAULT_WIDTH = 60 SYMBOL = list("@#$&%+* ") def draw(self, image_path, height=DEFAULT_HEIGHT, width=DEFAULT_WIDTH): try: image = Image.open(image_path).resize((width, height)) array = np.array(image.convert("L")) image.close() except FileNotFoundError: print(f"{image_path} not exist") sys.exit(1) array = np.floor((array / 256) * 8) result = [] for i, line in enumerate(array): try: result.append("".join(map(lambda x: self.SYMBOL[int(x)], line)) + "\n") except IndexError: print(i) sys.exit(1) return "".join(result) if __name__ == "__main__": fire.Fire(AsciiArt)

29.058824

87

0.34666

150

1,976

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0.023952

0

0.009053

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1

0.037037

false

0

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null

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1

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null

0

1

cec7fff35f1ea56bf0187cca1f5248b7d68f0fa3

14,729

py

Python

main.py

ceciliazhang12/resource-reservation-system

d680582a41d39b1558b85d1e42f9006eb07caef8

[ "Apache-2.0" ]

null

main.py

ceciliazhang12/resource-reservation-system

d680582a41d39b1558b85d1e42f9006eb07caef8

[ "Apache-2.0" ]

null

main.py

ceciliazhang12/resource-reservation-system

d680582a41d39b1558b85d1e42f9006eb07caef8

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2016 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, 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. # [START imports] import os from datetime import datetime, time, timedelta import uuid import time as t from google.appengine.api import users from google.appengine.ext import ndb from google.appengine.api import mail import jinja2 import webapp2 from models import Resource, Reservation from __builtin__ import True PATH_TEMPLATE = os.path.join(os.path.dirname(__file__), 'templates') JINJA_ENVIRONMENT = jinja2.Environment( loader=jinja2.FileSystemLoader(PATH_TEMPLATE), extensions=['jinja2.ext.autoescape'], autoescape=True) # [END imports] # Helper Function def send_mail(resource, reservation): text = "Hi,\n\n" + "You've reserved {0} from {1} to {2}. " \ .format(reservation.resource_name, reservation.start_time, reservation.end_time) mail.send_mail(sender="yz3847@nyu.edu", to=reservation.user, subject="Reservation Confirmend.", body=text) ''' Landing Page, which displays the following 4 sections: user login / logout link reservations made for resources by that user (sorted by the reservation time) all resources in the system (shown in reverse time order based on last made reservation) resources owned by that user a link to create a new resource ''' class LandingPage(webapp2.RequestHandler): def get(self): user = users.get_current_user() if user: url = users.create_logout_url(self.request.uri) url_linktext = 'Logout' # retrieve reservations by current user now_time = datetime.now() - timedelta(minutes=300) reservation_by_curr_user = Reservation.query(ndb.AND(Reservation.user == user.email(), Reservation.end_time > now_time)) \ .fetch() if reservation_by_curr_user: reservation_by_curr_user = sorted(reservation_by_curr_user, key=lambda r: r.start_time) # retrieve all resources in system sorted_resources = Resource.query().order(-Resource.last_reservation_time) # retrieve resources owned by current user resources_owned = Resource.query(Resource.owner==user.email()) template_values = { 'user': user, 'reservation_by_curr_user': reservation_by_curr_user, 'sorted_resources': sorted_resources, 'resources_owned': resources_owned, 'url': url, 'url_linktext': url_linktext, } template = JINJA_ENVIRONMENT.get_template('index.html') self.response.write(template.render(template_values)) else: self.redirect(users.create_login_url(self.request.uri)) # url_linktext = 'Login' ''' CreateResource Handler enables the function of creating a new resource ''' class CreateResource(webapp2.RequestHandler): def get(self): template = JINJA_ENVIRONMENT.get_template('newResource.html') template_values = {} self.response.write(template.render(template_values)) def post(self): resource = Resource() user = users.get_current_user() if user: resource.owner = user.email() resource.id = str(uuid.uuid4()) resource.name = self.request.get('name') start_time = map(int, self.request.get('available_start_time').split(':')) end_time = map(int, self.request.get('available_end_time').split(':')) resource.available_start_time = datetime.combine(datetime.today(), time(*start_time)) resource.available_end_time = datetime.combine(datetime.today(), time(*end_time)) resource.tags = self.request.get('tags').split(', ') resource.num_reserved = 0 resource.put() t.sleep(0.1) self.redirect('/') ''' ViewResource Handler handels displaying the main page for an existing resource ''' class ViewResource(webapp2.RequestHandler): def get(self): resource_id = self.request.get('id') owner = Resource.query(Resource.id == resource_id).get().owner count = Resource.query(Resource.id == resource_id).get().num_reserved curr_user = users.get_current_user() now_time = datetime.now() - timedelta(minutes=300) reservations = Reservation.query(ndb.AND(Reservation.resource_id == resource_id, Reservation.end_time >= now_time)).fetch() reservations = sorted(reservations, key=lambda r: r.start_time) # currentUser = str(users.get_current_user().email()) template_values = { 'reservations': reservations, 'curr_user': curr_user, 'owner': owner, 'resource_id': resource_id, 'count':count, } template = JINJA_ENVIRONMENT.get_template('resource.html') self.response.write(template.render(template_values)) ''' ViewResource Handler handels the function of editing an existing resource ''' class EditResource(webapp2.RequestHandler): def get(self): resource_id = self.request.get('id') resource = Resource.query(Resource.id == resource_id).get() start = resource.available_start_time end = resource.available_end_time template_values = { 'id': resource_id, 'name': resource.name, 'available_start_time': start, 'available_end_time': end, 'tags': ', '.join(resource.tags), } template = JINJA_ENVIRONMENT.get_template('editResource.html') self.response.write(template.render(template_values)) def post(self): resource_id = self.request.get('id') resource = Resource.query(Resource.id == resource_id).get() resource.name = self.request.get('name') # today = datetime.now().date() start_time = map(int, self.request.get('available_start_time').split(':')) end_time = map(int, self.request.get('available_end_time').split(':')) resource.available_start_time = datetime.combine(datetime.today(), time(*start_time)) resource.available_end_time = datetime.combine(datetime.today(), time(*end_time)) resource.tags = self.request.get('tags').split(', ') resource.put() t.sleep(0.1) self.redirect('/') ''' ViewUser Handler handels displaying the main page for an user ''' class ViewUser(webapp2.RequestHandler): def get(self): user_email = self.request.get('email') # retrieve user's reservations reservation_by_curr_user = Reservation.query(Reservation.user == user_email) if reservation_by_curr_user: reservation_by_curr_user = reservation_by_curr_user.order(Reservation.start_time) # retrieve resources owned by this user resources_owned = Resource.query(Resource.owner==user_email) template_values = { 'reservation_by_curr_user': reservation_by_curr_user, 'resources_owned': resources_owned, } template = JINJA_ENVIRONMENT.get_template('user.html') self.response.write(template.render(template_values)) ''' CreateResservation Handler enables the function of creating a new reservation ''' class CreateReservation(webapp2.RequestHandler): def get(self): resource_id = self.request.get('id') resource = Resource.query(Resource.id == resource_id).get() template_values = { 'id': resource_id, 'name': resource.name } template = JINJA_ENVIRONMENT.get_template('newReservation.html') self.response.write(template.render(template_values)) def post(self): resource_id = self.request.get('id') resource_name = self.request.get('name') start_time = time(*map(int, self.request.get('available_start_time').split(':'))) start_time = datetime.combine(datetime.today(), start_time) duration = int(self.request.get('duration')) resource = Resource.query(Resource.id == resource_id).get() end_time = start_time + timedelta(minutes=duration) # check time format and availability has_error = False msg = '' # error check if end_time < start_time: has_error = True msg = 'Error, wrong format of start time or duration. Please return to former page to enter correctly.' elif resource.available_start_time > start_time or \ resource.available_end_time < end_time: has_error = True msg = 'Error, resource not available during the selected period. Please return to former page to enter another time period.' else: reservations = Reservation.query(Reservation.resource_id == resource_id).fetch() for r in reservations: if not (end_time <= r.start_time or start_time >= r.end_time): has_error = True msg = 'Error, reservation conflict. Please return to former page to enter another time period.' if has_error: template = JINJA_ENVIRONMENT.get_template('newReservation.html') template_values = {'msg': msg} self.response.write(template.render(template_values)) else: # add reservation if no error reservation = Reservation() reservation.id = str(uuid.uuid4()) reservation.user = str(users.get_current_user().email()) reservation.start_time = start_time reservation.duration = duration reservation.end_time = end_time reservation.resource_id = resource_id reservation.resource_name = resource_name reservation.put() resource.last_reservation_time = datetime.now() - timedelta(minutes=300) resource.num_reserved += 1 resource.put() t.sleep(1) send_mail(resource, reservation) self.redirect('/') ''' CreateResservation Handler enables the function of generating a RSS link for an existing reservation ''' class GenerateRSS(webapp2.RequestHandler): def get(self): resource_id = self.request.get('id') resource = Resource.query(Resource.id == resource_id).get() reservations = Reservation.query(Reservation.resource_id == resource_id).fetch() header = '<?xml version="1.0" encoding="UTF-8" ?>' tag_owner = '<owner>{}</owner>'.format(resource.owner) tag_name = '<name>{}</name>'.format(resource.name) tag_start = '<start_time>{}</start_time>'.format(resource.available_start_time) tag_end = '<end_time>{}</end_time>'.format(resource.available_end_time) tags_reservation = [] for r in reservations: t = {} t['user'] = '<reservedBy>{}</reservedBy>'.format(r.user) t['start'] = '<reservedAt>{}</reservedAt>'.format(r.start_time) tags_reservation.append(t) template_values = { 'header': header, 'owner': tag_owner, 'name': tag_name, 'start_time': tag_start, 'end_time': tag_end, 'reservations': tags_reservation, } template = JINJA_ENVIRONMENT.get_template('rss.html') self.response.write(template.render(template_values)) ''' DeleteResservation Handler enables deleting an existing reservation in Landing Page ''' class DeleteReservation(webapp2.RequestHandler): def post(self): reservation_id = self.request.get('reservation_id') reservation = Reservation.query(Reservation.id == reservation_id).get() reservation.key.delete() t.sleep(0.1) self.redirect('/') ''' ResourceBy Handler enables the function of filtering existing resources by tag ''' class ResourcesByTag(webapp2.RequestHandler): def get(self): tag = self.request.get('tag').lower() resources = Resource.query().order(-Resource.last_reservation_time).fetch() filtered_resources = [] for r in resources: tags = [t.lower().strip() for t in r.tags] if tag in tags: filtered_resources.append(r) template_values = { 'tag': tag, 'resources': filtered_resources, } template = JINJA_ENVIRONMENT.get_template('tag.html') self.response.write(template.render(template_values)) ''' SearchResource Handler enables the function of searching existing resources by name ''' class SearchResource(webapp2.RequestHandler): def get(self): template_values = {} template = JINJA_ENVIRONMENT.get_template('searchResource.html') self.response.write(template.render(template_values)) def post(self): name = self.request.get('name').lower() resources = Resource.query().order(-Resource.last_reservation_time).fetch() results = [] for r in resources: resource_name = r.name.strip().lower() if name in resource_name: results.append(r) print resources template_values = { 'name': name, 'resources': results, } template = JINJA_ENVIRONMENT.get_template('searchResource.html') self.response.write(template.render(template_values)) # [START app] app = webapp2.WSGIApplication([ ('/', LandingPage), ('/newResource.html', CreateResource), ('/resource.html', ViewResource), ('/editResource.html', EditResource), ('/newReservation.html', CreateReservation), ('/user.html', ViewUser), ('/index.html', DeleteReservation), ('/tag.html', ResourcesByTag), ('/rss.html', GenerateRSS), ('/searchResource.html', SearchResource), ], debug=True) # [END app]

39.808108

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14,729

5.552147

0.160736

0.036464

0.032486

0.027845

0.499558

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0.365635

0.330608

0.242762

0.199558

0

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0.259352

14,729

369

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39.915989

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0.068233

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0.01376

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null

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0.042146

null

0.003831

0

null

0

null

0

1

0

1

0c6a40a4bea2c4e73231cb976a84217ada08384c

2,098

py

Python

tests/test_utils.py

Guillerbr/python-pagseguro

279eacf251e99a2f15d665f8193fcad0be6ea0bf

[ "MIT" ]

115

2015-02-19T22:17:44.000Z

2019-07-24T17:31:30.000Z

tests/test_utils.py

rubens8848/python-pagseguro

08a8aa7f934b16d00948ead17a0e470a88f2479f

[ "MIT" ]

49

2015-03-04T00:53:31.000Z

2019-07-13T16:41:22.000Z

tests/test_utils.py

rubens8848/python-pagseguro

08a8aa7f934b16d00948ead17a0e470a88f2479f

[ "MIT" ]

53

2015-01-12T22:13:33.000Z

2019-07-20T01:52:48.000Z

# -*- coding: utf-8 -*- import datetime from pagseguro.utils import (is_valid_cpf, is_valid_cnpj, is_valid_email, parse_date) from pagseguro.exceptions import PagSeguroValidationError import pytest from dateutil.tz import tzutc def test_is_valid_email(): valid = 'test@email.com' valid2 = u'user@росси́я.ро' not_valid = '@asd.com' not_valid2 = 'bad' not_valid3 = u'user@росси́я' with pytest.raises(PagSeguroValidationError): is_valid_email(not_valid) with pytest.raises(PagSeguroValidationError): is_valid_email(not_valid2) with pytest.raises(PagSeguroValidationError): is_valid_email(not_valid3) assert is_valid_email(valid) == 'test@email.com' assert is_valid_email(valid2) == u'user@росси́я.ро' def test_parse_date(): # DATETIME_FORMAT = '%Y-%m-%dT%H:%M:%S' date_str = '2016-10-10T10:10:10' assert parse_date(date_str) == datetime.datetime(2016, 10, 10, 10, 10, 10, tzinfo=tzutc()) def test_is_valid_cpf(): valid = '041.684.826-50' valid2 = '04168482650' bad = 'bla///' max_digits = '1111111111111111111111111' invalid_cpf = '040.684.826-50' with pytest.raises(PagSeguroValidationError): is_valid_cpf(bad) with pytest.raises(PagSeguroValidationError): is_valid_cpf(max_digits) with pytest.raises(PagSeguroValidationError): is_valid_cpf(invalid_cpf) assert is_valid_cpf(valid) == valid assert is_valid_cpf(valid2) == '04168482650' def test_is_valid_cnpj(): valid = '31331052000174' valid2 = '72.168.117/0001-90' invalid = '///' digits = '1111111' wrong_number = '31331052000175' with pytest.raises(PagSeguroValidationError): is_valid_cnpj(invalid) with pytest.raises(PagSeguroValidationError): is_valid_cnpj(digits) with pytest.raises(PagSeguroValidationError): is_valid_cnpj(wrong_number) assert is_valid_cnpj(valid) == '31331052000174' assert is_valid_cnpj(valid2) == '72168117000190'

26.897436

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2,098

5.227799

0.274131

0.108567

0.106352

0.265879

0.502954

0.426883

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0

0.11253

0.216397

2,098

77

79

27.246753

0.709246

0.028122

0

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0.012279

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1

0.076923

false

0

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0.173077

0

null

0

1

0

null

0

1

0c6dab3b29d248c78a200aec1e3449a5aeb04604

33,383

py

Python

sandbox/riskModelsResultsEval.py

danbirks/PredictCode

b4d7010d13706c771ba57437e9c7589e5c94329b

[ "Artistic-2.0" ]

null

sandbox/riskModelsResultsEval.py

danbirks/PredictCode

b4d7010d13706c771ba57437e9c7589e5c94329b

[ "Artistic-2.0" ]

null

sandbox/riskModelsResultsEval.py

danbirks/PredictCode

b4d7010d13706c771ba57437e9c7589e5c94329b

[ "Artistic-2.0" ]

2

2020-01-28T23:02:54.000Z

2020-02-03T16:04:38.000Z

# -*- coding: utf-8 -*- """ Created on Wed May 15 10:22:47 2019 @author: lawdfo Purpose: Read in the csv results file generated by (e.g.) riskModelsParamSweep.py and report back some useful statistics. """ # Some fairly standard modules import os, csv, lzma import numpy as np import matplotlib.pyplot as plt import matplotlib import descartes from itertools import product from collections import Counter, defaultdict import datetime import csv import random import time from copy import deepcopy import statistics # The geopandas module does not come standard with anaconda, # so you'll need to run the anaconda prompt as an administrator # and install it via "conda install -c conda-forge geopandas". # That installation will include pyproj and shapely automatically. # These are useful modules for plotting geospatial data. import geopandas as gpd import pyproj import shapely.geometry # These modules are useful for tracking where modules are # imported from, e.g., to check we're using our local edited # versions of open_cp scripts. import sys import inspect import importlib # In order to use our local edited versions of open_cp # scripts, we insert the parent directory of the current # file ("..") at the start of our sys.path here. sys.path.insert(0, os.path.abspath("..")) # Elements from PredictCode's custom "open_cp" package import open_cp """ import open_cp.geometry import open_cp.plot import open_cp.sources.chicago as chicago import open_cp.retrohotspot as retro import open_cp.prohotspot as phs import open_cp.knox """ # Load custom functions that make dealing with datetime and timedelta easier from crimeRiskTimeTools import generateDateRange, \ generateLaterDate, \ generateEarlierDate, \ getTimedPointsInTimeRange, \ getSixDigitDate, \ _day """ Expected data format of input CSV file, by column: Header name Type Typical contents dataset str Chicago event_types str BURGLARY cell_width int 100 eval_date np.datetime64 2016-03-01 train_len str 8W test_len str 1D coverage_rate float 0.01/0.02/0.05/0.1 test_events int 3/2/5/etc hit_count int 1/2/0/etc hit_pct float 0.33333 etc model str naivecount/phs/etc rand_seed int rhs_bandwidth int phs_time_unit str 1 weeks phs_time_band str 4 weeks phs_dist_unit int 100 phs_dist_band int 400 phs_weight str linear """ csv_data_types = [str, \ str, \ int, \ np.datetime64, \ str, \ str, \ float, \ int, \ int, \ float, \ str, \ int, \ int, \ str, \ str, \ int, \ int, \ str] def splitDataByTimespans(datalist, timespan, dateinfoname="eval_date"): print("Performing splitDataByTimespans") date_list = sorted(set([d[dateinfoname] for d in datalist])) earliest_date = date_list[0] latest_date = date_list[-1] daterange_list = generateDateRange(start=earliest_date, end=latest_date+_day, step=timespan) data_by_daterange = defaultdict(list) for d in datalist: d_time = d[dateinfoname] for t in daterange_list: if d_time >= t and d_time < generateLaterDate(t, timespan): data_by_daterange[t].append(d) break print("Ending splitDataByTimespans") return data_by_daterange """ Each element of output should have this info: earliest test date of range time band dist band avg hit rate """ def getPhsSpanStats(datalist, timespan): print("Performing getPhsSpanStats") data_by_daterange = splitDataByTimespans(datalist, timespan) phs_band_rate_summary = [] for daterange in data_by_daterange: hit_rates = getPhsHitRates(data_by_daterange[daterange]) for bp in hit_rates: phs_band_rate_summary.append((daterange, bp[0], bp[1], hit_rates[bp]["avg_hit_rate"])) print("Ending getPhsSpanStats") return phs_band_rate_summary def getModelSpanStats(datalist, timespan, model): print("Performing getModelSpanStats") recognized_model_list = ["random", "naive", "ideal", "phs"] if model not in recognized_model_list: print("model required for getModelSpanStats") sys.exit(1) if model=="phs": return getPhsSpanStats(datalist, timespan) data_by_daterange = splitDataByTimespans(datalist, timespan) model_stats = [] for daterange, data in data_by_daterange.items(): model_stats.append((daterange, getAvgHitRates(data))) print("Ending getModelSpanStats") return model_stats """ Each element of output should have this info: coverage earliest test date of range time band dist band avg hit rate """ def writeModelSummaryCsv(datalists_by_cov, timespan, model, csvname = "temp.csv"): print("Performing writeModelSummaryCsv") rate_summaries_by_cov = dict() for cov, datalist in datalists_by_cov.items(): rate_summaries_by_cov[cov] = getModelSpanStats(datalist, timespan, model) with open(csvname,"w") as csvf: writer = csv.writer(csvf, delimiter=",", lineterminator="\n") for cov, rate_summary in rate_summaries_by_cov.items(): for d in rate_summary: writer.writerow([cov] + list(d)) print("Ending writeModelSummaryCsv") sys.exit(0) def writePhsVariabilityCsv(datalists_by_cov, timespan, csvname = "temp.csv"): print("Performing writePhsVariabilityCsv") bp_rate_summaries_by_cov = dict() for cov, datalist in datalists_by_cov.items(): bp_rate_summaries_by_cov[cov] = getPhsSpanStats(datalist, timespan) rates_by_covtimedist = defaultdict(list) for cov, rate_summary in bp_rate_summaries_by_cov.items(): for entry in rate_summary: rates_by_covtimedist[(cov, entry[1], entry[2])].append(entry[3]) covtimedist_trios = sorted(rates_by_covtimedist) num_rates_list = [len(rates_by_covtimedist[x]) for x in covtimedist_trios] num_rates = num_rates_list[0] if not all([x==num_rates for x in num_rates_list]): print("Error! Not all (cov, time, dist) trios have same number of results!") print(num_rates_list) sys.exit(1) ratestats_by_covtimedist = dict() for covtimedist in covtimedist_trios: ratelist = rates_by_covtimedist[covtimedist] rate_avg = sum(ratelist)/num_rates rate_std = statistics.stdev(ratelist) rate_var = statistics.variance(ratelist) ratestats_by_covtimedist[covtimedist] = (rate_avg, rate_std, rate_var) with open(csvname,"w") as csvf: writer = csv.writer(csvf, delimiter=",", lineterminator="\n") for covtimedist, ratestats in ratestats_by_covtimedist.items(): writer.writerow(list(covtimedist) + list(ratestats)) print(" ".join([str(x) for x in list(covtimedist) + list(ratestats)])) print("Ending writePhsVariabilityCsv") sys.exit(0) # datalist = list of results for PHS # timespan = how frequently to check scores. Do we look at the top n models # from each day, or averaged over each month, etc # topnum = how many of the top models we consider successful. Top 10? Top 1? def checkPhsConsistency(datalist, timespan, topnum): print("Performing checkPhsConsistency") data_by_daterange = splitDataByTimespans(datalist, timespan) #best_overallrate_bps = [] best_avgrate_bps = [] for daterange in data_by_daterange: rate_info = getPhsHitRates(data_by_daterange(daterange)) #d_sort_overallrate = sorted(rate_info.items(), key=lambda ri: ri[1]["overall_hit_rate"], reverse=True) d_sort_avgrate = sorted(rate_info.items(), key=lambda ri: ri[1]["avg_hit_rate"], reverse=True) #best_bp_overallrate = d_sort_overallrate[:topnum] #for d in d_sort_overallrate[topnum:]: # if d[1]["overall_hit_rate"] < best_bp_overallrate[-1][1]["overall_hit_rate"]: # break # best_bp_overallrate.append(d) best_bp_avgrate = d_sort_avgrate[:topnum] for d in d_sort_avgrate[topnum:]: if d[1]["avg_hit_rate"] < best_bp_avgrate[-1][1]["avg_hit_rate"]: break best_bp_avgrate.append(d) #best_overallrate_bps.append(best_bp_overallrate) best_avgrate_bps.append(best_bp_avgrate) #findMinimalPhsBandCovering(best_overallrate_bps, daterange_list) findMinimalPhsBandCovering(best_avgrate_bps, data_by_daterange.keys()) def findMinimalPhsBandCovering(best_bps, daterange_list): print("Performing findMinimalPhsBandCovering") covered_span_list = [] covered_span_dates = [[]] covering_bps = [] bp_set = set([x[0] for x in best_bps[0]]) running_span_count = 0 for i, bp_info in enumerate(best_bps): new_bp_set = bp_set & set(x[0] for x in bp_info) # If set is 0, we can no longer cover current time with top choices if len(new_bp_set) == 0: covered_span_list.append(int(running_span_count+0)) running_span_count = 1 covered_span_dates.append([]) covering_bps.append(deepcopy(bp_set)) bp_set = set(x[0] for x in bp_info) else: bp_set = new_bp_set running_span_count += 1 covered_span_dates[-1].append(daterange_list[i]) covered_span_list.append(int(running_span_count+0)) covering_bps.append(deepcopy(bp_set)) print(covered_span_list) print(covered_span_dates) print(covering_bps) sorted_covered_span_list = sorted(covered_span_list) print(sorted_covered_span_list[0]) print(sorted_covered_span_list[-1]) #sys.exit(0) pass """ getPhsHitRates Input: "datalist" = list where each entry is a dictionary containing the information from a line of the csv results file (casted as the appropriate data type) as well as "param_pair" which is a tuple of the time and dist bandwidths. Note: Ideally this datalist is a subset of the full csv data, so that hit rates ar calculated over smaller timespans, e.g. monthly Output: "info_by_band_pair" = dict that maps bandwidth pairs ("bp") to: "bands": same as key; can be useful if just grabbing values "num_tests": Number of experiments/tests/evaluations performed. All bp's within a datalist fed into this function should end up with the same number of tests -- I can't think of a reason why this wouldn't happen. However, note that this number MAY change across multiple runs of this function with different data subsets. For example, maybe you calculate over every month, but months have different numbers of days. "total_events": Total number of events (i.e. crimes) in the data. This is calculated by adding the number for the first time each date is witnessed. So again, it's important that all bp's are tested on all the same days. "total_hits": Total number of hits achieved by the bp's model. "total_rates": Sum of all daily(?) hit rates. This number is essentially useless on its own, but used for calculating avg. "avg_hit_rate": Average of all daily hit rates, calculated as total_rates/num_tests ("overall_hit_rate"): A different average hit rate, being the total number of hits divided by the total number of events. This was removed from use (commented out) once we decided this metric was less useful than avg_hit_rate, since this could be swayed by a generally poor model that rarely performs extremely well. """ def getPhsHitRates(datalist): print("Performing getPhsHitRates") # Obtain set of bandwidths band_pair_list = sorted(set([d["param_pair"] for d in datalist])) # Instantiate info to obtain info_by_band_pair = dict() for bp in band_pair_list: info_by_band_pair[bp] = dict([\ ("bands", bp),\ ("num_tests", 0),\ ("total_events", 0),\ ("total_hits", 0),\ ("total_rates", float(0))\ ]) # Update info via running counts for each bandwidth pair for result in datalist: bp = result["param_pair"] info_by_band_pair[bp]["num_tests"] += 1 info_by_band_pair[bp]["total_events"] += result["test_events"] info_by_band_pair[bp]["total_hits"] += result["hit_count"] if result["test_events"] > 0: info_by_band_pair[bp]["total_rates"] += result["hit_count"]/result["test_events"] # Confirm all bandwidth pairs had the same number of tests num_tests_per_bp = [info_by_band_pair[bp]["num_tests"] for bp in band_pair_list] if len(set(num_tests_per_bp)) != 1: print("Error! Some bandwidth pairs have different numbers of tests!") print(Counter(num_tests_per_bp)) sys.exit(1) num_tests = num_tests_per_bp[0] # Compute the average hit rates for each bandwidth pair for bp in band_pair_list: info_by_band_pair[bp]["avg_hit_rate"] = info_by_band_pair[bp]["total_rates"]/num_tests # The following deprecated code computes the overall hit rate, # instead of averaging the hit rates #if info_by_band_pair[bp]["total_events"] == 0: # info_by_band_pair[bp]["overall_hit_rate"] == 0 #else: # info_by_band_pair[bp]["overall_hit_rate"] = info_by_band_pair[bp]["total_hits"]/info_by_band_pair[bp]["total_events"] # Return info return info_by_band_pair # Note: 0 hits for 0 events gets counted as a hit rate of 0. # Perhaps it should be discarded instead? # But then what if the entire span has 0 events? def getAvgHitRates(datalist): print("Performing getAvgHitRates") num_tests = len(datalist) total_rates = sum([result["hit_count"]/result["test_events"] for result in datalist if result["test_events"]!=0]) for i, result in enumerate(datalist): print(result) toprint = [result["hit_count"], result["test_events"]] if toprint[1] == 0: toprint.append(0) else: toprint.append(toprint[0]/toprint[1]) print("\t".join([str(x) for x in toprint])) print(total_rates/num_tests) return total_rates/num_tests """ getDataByCovRate Given a path to csv results from running risk models, return a dictionary where keys are coverage rates and values are the rows of info with that coverage from the csv. """ def getDataByCovRate(results_full_path, header_types = csv_data_types, earliest_eval_date = None, latest_eval_date = None, ): # Keep track of total number of events (i.e., crimes) total_event_count = 0 dates_seen = [] model_param_names = [] cov_rates = set() # Instantiate a mapping from coverage rate to {another mapping of results}. # That other mapping will be from model to results. # And, those results will be a list of mappings, each entry in the list being # a different row from the csv results datadicts_by_cov_rate = defaultdict(lambda: defaultdict(list)) # Open csv output and start reading it with open(results_full_path, newline="") as f: reader = csv.reader(f) # Obtain column names from header in first line header = next(reader, None) # Read each line of data for dataline in reader: # Instantiate a map from col name to data, for this line dataline_dict = dict() # All data is currently in string form. # Use header_types to cast the data appropriately. for i,d in enumerate(dataline): # Default is empty string casted_data = "" # Things like int("") don't work, so we catch that here if d != "": casted_data = header_types[i](d) # Transform data into str/int/float/datetime64 before storing it dataline_dict[header[i]] = casted_data # Keep track of how many eval_date's we've seen, # and how many events (crimes) there have been in total # If date is outside of desired range, continue dataline_date = dataline_dict["eval_date"] if earliest_eval_date != None and dataline_date < earliest_eval_date: continue if latest_eval_date != None and latest_eval_date < dataline_date: continue if dataline_date not in dates_seen: total_event_count += dataline_dict["test_events"] dates_seen.append(dataline_date) # Grab coverage and model, since we'll use those a lot dataline_cov = dataline_dict["coverage_rate"] if dataline_cov not in cov_rates: cov_rates.add(dataline_cov) dataline_model = dataline_dict["model"] # Grab the bandwidths for PHS results, store them as "param_pair" if dataline_model == "phs": time_band = int(dataline_dict["phs_time_band"][:-1]) dist_band = dataline_dict["phs_dist_band"] dataline_dict["param_pair"] = (time_band, dist_band) model_param_name = dataline_model if dataline_model == "random": model_param_name += "-" + str(dataline_dict["rand_seed"]) elif dataline_model == "phs": model_param_name += "-" + "-".join([str(x) for x in dataline_dict["param_pair"]]) if model_param_name not in model_param_names: model_param_names.append(model_param_name) # Store dict so they're first sorted by coverage then by model type datadicts_by_cov_rate[dataline_cov][model_param_name].append(dataline_dict) return datadicts_by_cov_rate, dates_seen, model_param_names, sorted(cov_rates) def graphHitRatesOverTime(results_full_path): datadicts_by_cov_rate, exp_dates, model_names, cov_rates = getDataByCovRate(results_full_path) for cov_rate in cov_rates: # Declare figure print("Declaring figure for graphHitRatesOverTime...") fig, ax = plt.subplots(figsize=(12,6)) names_for_legend = [] cov_results_all_models = datadicts_by_cov_rate[cov_rate] num_dates = len(exp_dates) num_models = len(model_names) for mn in model_names: if len(cov_results_all_models[mn]) != num_dates: print("Error!") print(f"Model: {mn}") print(f"Expected number of experiments: {num_dates}") print(f"Found number of experiments: {len(cov_results_all_models[mn])}") sys.exit(0) result_matrix = np.zeros((num_models, num_dates)) for mn_index, mn in enumerate(model_names): names_for_legend.append(mn) model_results = cov_results_all_models[mn] for mr_index, mr in enumerate(model_results): result_matrix[mn_index, mr_index] = mr["hit_pct"] for row_num, row in enumerate(result_matrix): ax.plot(exp_dates, row) ax.legend(names_for_legend) ax.tick_params(axis='x', rotation=90) ax.set_title(f"Hit rates over time, coverage {cov_rate}") """ result_matrix = np.zeros((len(all_exp_results[0]), len(all_exp_results))) for exp_num, exp in enumerate(all_exp_results): for model_num, model_result in enumerate(exp): result_matrix[model_num, exp_num] = model_result[0][coverage_cell_index] for row_num, row in enumerate(result_matrix): ax.plot(test_data_dates, row + (results_count_offset * row_num) ) names_for_legend.append(all_exp_results[0][row_num][1]) x_axis_size = len(hit_rates_dict[model_names[0]][0]) x_axis_values = np.linspace(0,1,x_axis_size) print(x_axis_size) for mn in model_names: for hr in hit_rates_dict[mn]: ax.plot(x_axis_values, hr) for mr in model_runs_list[mn]: names_for_legend.append(mr) ax.legend(names_for_legend) """ return """ Copied snippets from riskModelsCompare Still working out this section... """ def graphCoverageVsHitRate(hit_rates_dict, model_runs_list, model_names): """ print(len(hit_rates_dict)) for m in hit_rates_dict: print(m) print(len(hit_rates_dict[m])) print(len(hit_rates_dict[m][0])) print(len(model_runs_list)) print(model_runs_list) """ model_hit_rate_pairs = [] for mn in model_names: model_hit_rate_pairs += list(zip(model_runs_list[mn], hit_rates_dict[mn])) #hit_rates_flat += hit_rates_dict[mn] #model_runs_flat += model_runs_list[mn] #print(len(hit_rates_flat)) #print(len(model_runs_flat)) print(len(model_hit_rate_pairs)) ### DECLARE FIGURE FOR HITRATE/COVERAGE # !!! I should add an option for the x-axis of the figure!!! #results_count_offset = .025 #results_rate_offset = .005 #results_count_offset = 0 #results_rate_offset = 0 # new version # Declare figure print("Declaring figure for graphCoverageVsHitRate...") fig, ax = plt.subplots(figsize=(12,6)) names_for_legend = [] x_axis_size = len(hit_rates_dict[model_names[0]][0]) x_axis_values = np.linspace(0,1,x_axis_size) print(x_axis_size) for mn in model_names: for hr in hit_rates_dict[mn]: ax.plot(x_axis_values, hr) for mr in model_runs_list[mn]: names_for_legend.append(mr) ax.legend(names_for_legend) return """ result_matrix = np.zeros((len(all_exp_results[0]), len(all_exp_results))) for exp_num, exp in enumerate(all_exp_results): for model_num, model_result in enumerate(exp): result_matrix[model_num, exp_num] = model_result[0][coverage_cell_index] for row_num, row in enumerate(result_matrix): ax.plot(test_data_dates, row + (results_count_offset * row_num) ) names_for_legend.append(all_exp_results[0][row_num][1]) #ax.legend(names_for_legend) ax.tick_params(axis='x', rotation=90) # one of the orig sections from riskModelsCompare # Declare figure print("Declaring figure...") fig, ax = plt.subplots(figsize=(12,6)) names_for_legend = [] result_matrix = np.zeros((len(all_exp_results[0]), len(all_exp_results))) for exp_num, exp in enumerate(all_exp_results): for model_num, model_result in enumerate(exp): result_matrix[model_num, exp_num] = model_result[0][coverage_cell_index] for row_num, row in enumerate(result_matrix): ax.plot(test_data_dates, row + (results_count_offset * row_num) ) names_for_legend.append(all_exp_results[0][row_num][1]) #ax.legend(names_for_legend) ax.tick_params(axis='x', rotation=90) # Declare figure print("Declaring figure...") fig, ax = plt.subplots(figsize=(12,6)) names_for_legend = [] #xcoords = test_data_dates coverage_rate = 0.10 coverage_cell_index = int(num_cells_region * coverage_rate)-1 print("reg {}".format(num_cells_region)) print("cov {}".format(coverage_rate)) print("cci {}".format(coverage_cell_index)) result_matrix = np.zeros((len(all_exp_results[0]), len(all_exp_results))) for exp_num, exp in enumerate(all_exp_results): if test_data_counts[exp_num] == 0: continue for model_num, model_result in enumerate(exp): result_matrix[model_num, exp_num] = \ model_result[0][coverage_cell_index]/test_data_counts[exp_num] for row_num, row in enumerate(result_matrix): ax.plot(test_data_dates, row + (results_rate_offset * row_num) ) names_for_legend.append(all_exp_results[0][row_num][1]) #ax.legend(names_for_legend) ax.tick_params(axis='x', rotation=90) """ def main(): datadir = os.path.join("..", "..", "Data") #results_fname = "results_190515_Chicago_160101_1M_1D.csv" #results_fname = "results_190517_Chicago_020101_1Y_1D.csv" #results_fname = "results_190517_Chicago_020101_1Y_3D.csv" #results_fname = "results_190522_Chicago_020101_1Y_7D.csv" #results_fname = "results_190621_Chicago_160301_1M_1D.csv" #results_fname = "results_190621_Chicago_160301_9M_1D.csv" #results_fname = "temp_results_190621_Chicago_010301_17Y_1D.csv" #results_fname = "results_190621_Chicago_010301_17Y_1D.csv" results_fname = "results_190628_Chicago_130101_5Y_1D.csv" # Only include results of tests later OR EQUAL to this date earliest_eval_date = np.datetime64("2013-01-01") # Only include results of tests earlier BUT NOT EQUAL to this date latest_eval_date = None results_full_path = os.path.join(datadir, results_fname) # Keep track of dates seen in the output data dates_seen = set() datadicts_by_cov_rate = getDataByCovRate(results_full_path) # Determine the number of evaluation dates in the data # We expect this to equal the number of instances of random/naive/ideal # experiments, and also the number of phs experiments when multiplied by # the number of phs parameter combinations. num_dates = len(dates_seen) print(num_dates) earliest_date_seen =sorted(dates_seen)[0] latest_date_seen =sorted(dates_seen)[-1] print(earliest_date_seen) print(latest_date_seen) phsdicts_by_cov_rate = dict([(cov, d["phs"]) for cov, d in datadicts_by_cov_rate.items()]) naivedicts_by_cov_rate = dict([(cov, d["naive"]) for cov, d in datadicts_by_cov_rate.items()]) create_naive_csv_summary = True if create_naive_csv_summary: timespan = "1M" date_today = datetime.date.today() date_today_str = getSixDigitDate(date_today) earliest_date_str = getSixDigitDate(earliest_date_seen) latest_date_str = getSixDigitDate(latest_date_seen) sumcsv_base = f"ratesummary_xsr_nai_{date_today_str}_{earliest_date_str}_{latest_date_str}_{timespan}.csv" sumcsvname = os.path.join(datadir, sumcsv_base) writeModelSummaryCsv(naivedicts_by_cov_rate, timespan, "naive", csvname=sumcsvname) sys.exit(0) create_phs_csv_summary = False if create_phs_csv_summary: timespan = "1M" date_today = datetime.date.today() date_today_str = getSixDigitDate(date_today) earliest_date_str = getSixDigitDate(earliest_date_seen) latest_date_str = getSixDigitDate(latest_date_seen) phssumcsv_base = f"ratesummary_xsr_phs_{date_today_str}_{earliest_date_str}_{latest_date_str}_{timespan}.csv" phssumcsvname = os.path.join(datadir, phssumcsv_base) #writePhsSummaryCsv(phs_list, timespan, csvname=phssumcsvname) writeModelSummaryCsv(phsdicts_by_cov_rate, timespan, "phs", csvname=phssumcsvname) sys.exit(0) create_phs_csv_var = True if create_phs_csv_var: timespan = "1M" date_today = datetime.date.today() date_today_str = getSixDigitDate(date_today) earliest_date_str = getSixDigitDate(earliest_date_seen) latest_date_str = getSixDigitDate(latest_date_seen) phssumcsv_base = f"ratevar_{date_today_str}_{earliest_date_str}_{latest_date_str}_{timespan}.csv" phssumcsvname = os.path.join(datadir, phssumcsv_base) #writePhsSummaryCsv(phs_list, timespan, csvname=phssumcsvname) writePhsVariabilityCsv(phsdicts_by_cov_rate, timespan, phssumcsvname) sys.exit(0) all_model_names = ["random", "naivecount", "ideal", "rhs", "phs"] basic_model_names = all_model_names[:3] for cov, datadicts_by_model in datadicts_by_cov_rate.items(): print(f"Coverage rate: {cov}") # Get overall result summaries for basic models for model_name in basic_model_names: if model_name in datadicts_by_model: # Obtain list of results for this (coverage, model) combo datalist = datadicts_by_model[model_name] # Confirm that we have the expected number of results if len(datalist) != num_dates: print("Error! Unexpected number of results!") print(f"Number expected per model: {num_dates}") print(f"Number seen for model {model_name}: {len(datalist)}") sys.exit(1) # ("Hit" = event in testing period within model's top cov% cells) # Total number of successful "hits" total_hit_count = sum([d["hit_count"] for d in datalist]) # Total possible number of "hits" total_hit_poss = sum([d["test_events"] for d in datalist]) # Overall hit rate total_hit_rate = total_hit_count/total_hit_poss # Average of all individual hit rates average_hit_rate = sum(d["hit_pct"] for d in datalist)/num_dates print(f"\tModel: {model_name}") #print(f"\t\tTotal hit rate: {total_hit_count}/{total_hit_poss} = {total_hit_rate:6.4f}") print(f"\t\tAverage hit rate: {average_hit_rate:6.4f}") # Generate a table of results for all PHS bandwidth pairs tested if "phs" in datadicts_by_model: phs_list = datadicts_by_model["phs"] # phs_list is what should be fed into checkPhsConsistency etc #checkPhsConsistency(phs_list, "1M", 10) #sys.exit(0) #continue #getPhsStats(phs_list, "1M") #sys.exit(0) print("0\t" + "\t".join([str(x) + " weeks" for x in range(1,9)])) best_sum_dist_time = (-1, 0, 0) best_avg_dist_time = (-1, 0, 0) for dist_band in range(100,1100,100): toprint_list = [str(dist_band)] for time_band in range(1,9): #total_hit_count = sum(d["hit_count"] for d in phs_list if d["param_pair"]==(time_band, dist_band)) #total_hit_rate = total_hit_count/total_event_count hit_rate_sum = sum(d["hit_pct"] for d in phs_list if d["param_pair"]==(time_band, dist_band)) hit_rate_avg = hit_rate_sum/num_dates #toprint_list.append(f"{total_hit_rate:6.4f},{hit_rate_avg:6.4f}") toprint_list.append(f"{hit_rate_avg:6.4f}") #if total_hit_rate > best_sum_dist_time[0]: # best_sum_dist_time = (total_hit_rate, dist_band, time_band) if hit_rate_avg > best_avg_dist_time[0]: best_avg_dist_time = (hit_rate_avg, dist_band, time_band) print("\t".join(toprint_list)) #print(f"Best total hit rate result: {best_sum_dist_time[0]:6.4f} {best_sum_dist_time[1:]}") print(f"Best average hit rate result: {best_avg_dist_time[0]:6.4f} {best_avg_dist_time[1:]}") sys.exit(0) if __name__ == "__main__": main()

33.550754

130

0.623371

4,311

33,383

4.561123

0.143586

0.014596

0.012104

0.011392

0.342521

0.284748

0.244927

0.219244

0.202105

0.186747

0

0.016057

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33,383

994

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0

null

0

1

0

null

0

1

0c6e32f7e7283b6370a0de49f39a51f43f1b82bb

1,280

py

Python

HIV model/others.py

omisolaidowu/HIV-story-telling

290fbb9549ff0177fb2224553575aa24813fdc6a

[ "Apache-2.0" ]

null

HIV model/others.py

omisolaidowu/HIV-story-telling

290fbb9549ff0177fb2224553575aa24813fdc6a

[ "Apache-2.0" ]

null

HIV model/others.py

omisolaidowu/HIV-story-telling

290fbb9549ff0177fb2224553575aa24813fdc6a

[ "Apache-2.0" ]

null

''' -*- coding: utf-8 -*- Created on Fri Jan 17 12:34:15 2020 @author: Paul ''' import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from sklearn.model_selection import train_test_split df=pd.read_excel(r'C:\Users\Paul\Desktop\Python projects\HIV_3.xlsx') print(df) print(df.isnull().sum()) ax=plt.figure(figsize=(8, 8)) years=['2000','2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018'] x=years print(x) line=plt.plot y=df[''] z=df['Number_of_neonatal_deaths'] plt.xlabel('Changes over the years') plt.ylabel('Occurence by population') plt.xticks(rotation=90) line(x,y, 'r', x, z, 'cyan' ) import matplotlib.patches as mpatches red_patch = mpatches.Patch(color='red', label='New HIV prevalence among youths') cyan_patch = mpatches.Patch(color='cyan', label='Neonatal deaths') #blue_patch = mpatches.Patch(color='yellow', label='sIgM+IgG positive') #orange_patch = mpatches.Patch(color='orange', label='site4') #brown_patch = mpatches.Patch(color='brown', label='site5') #black_patch = mpatches.Patch(color='black', label='site6') plt.legend(handles=[red_patch, cyan_patch], loc=(0, 1)) plt.show()

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1,280

4.427835

0.608247

0.090803

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0

0.089029

0.13125

1,280

42

159

30.47619

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false

0

0.25

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0.125

0

null

0

1

0

null

0

1

0c82f844757360c3545bf98aad68a6f84622e3da

711

py

Python

app/core/migrations/0009_auto_20210214_2113.py

Valentin-Golyonko/FlaskTestRPi

b9796a9acb2bb1c122301a3ef192f43c857eb27b

[ "Apache-2.0" ]

null

app/core/migrations/0009_auto_20210214_2113.py

Valentin-Golyonko/FlaskTestRPi

b9796a9acb2bb1c122301a3ef192f43c857eb27b

[ "Apache-2.0" ]

null

app/core/migrations/0009_auto_20210214_2113.py

Valentin-Golyonko/FlaskTestRPi

b9796a9acb2bb1c122301a3ef192f43c857eb27b

[ "Apache-2.0" ]

null

# Generated by Django 3.1.6 on 2021-02-14 18:13 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0008_auto_20210214_2039'), ] operations = [ migrations.AlterField( model_name='device', name='ip_address', field=models.GenericIPAddressField(blank=True, help_text='e.g. 192.168.0.17', null=True, verbose_name='IP address'), ), migrations.AlterField( model_name='device', name='mac_address', field=models.CharField(blank=True, help_text='e.g. A1:B2:C3:D4:5E:6F', max_length=100, null=True, verbose_name='MAC address'), ), ]

29.625

138

0.613221

88

711

4.818182

0.647727

0.09434

0.117925

0.136792

0.273585

0

0.092105

0.251758

711

23

139

30.913043

0.704887

0.063291

0

0.352941

1

0

0.180723

0.034639

0

1

0

false

0

0.058824

0

0.235294

0

null

0

1

0

null

0

1

0c85c0c3fc3e88d3d1512b447e6a7c16569279b2

1,376

py

Python

nginx_rtmp_wizard/models.py

Gerhut/nginx-rtmp-wizard

c821c3bb262503ee26408b8b3bf4a252b49a29d6

[ "Unlicense" ]

null

nginx_rtmp_wizard/models.py

Gerhut/nginx-rtmp-wizard

c821c3bb262503ee26408b8b3bf4a252b49a29d6

[ "Unlicense" ]

1

2021-06-10T20:32:59.000Z

nginx_rtmp_wizard/models.py

Gerhut/nginx-rtmp-wizard

c821c3bb262503ee26408b8b3bf4a252b49a29d6

[ "Unlicense" ]

null

from django.conf import settings from django.core import validators from django.db import models DEFAULT_RTMP_PORT = 1935 class Server(models.Model): listen = models.PositiveIntegerField( default=DEFAULT_RTMP_PORT, unique=True, validators=[ validators.MinValueValidator(1024), validators.MaxValueValidator(65535) ]) def __str__(self): if self.listen == DEFAULT_RTMP_PORT: return 'rtmp://{}'.format(settings.RTMP_HOSTNAME) else: return 'rtmp://{}:{}'.format(settings.RTMP_HOSTNAME, self.listen) class Application(models.Model): server = models.ForeignKey(Server, on_delete=models.CASCADE) name = models.SlugField(default='live') live = models.BooleanField(default=False) def __str__(self): return '{}/{}'.format(self.server, self.name) class Meta: constraints = [ models.UniqueConstraint( fields=['server', 'name'], name='unique_server_application_name')] class Push(models.Model): application = models.ForeignKey(Application, on_delete=models.CASCADE) url = models.CharField( max_length=255, unique=True, validators=[ validators.URLValidator(schemes=['rtmp']) ]) def __str__(self): return 'push {};'.format(self.url)

27.52

77

0.634448

140

1,376

6.05

0.385714

0.035419

0.053129

0.070838

0.085006

0

0.015474

0.248547

1,376

49

78

28.081633

0.803675

0

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0

0.059593

0.021802

0

1

0.078947

false

0

0.078947

0.052632

0.526316

0

null

0

null

0

1

0

1

0c914b89127421ea137b1e5268f255c0188586da

775

py

Python

contoh_2.py

sumarouno/4x4-Matrix-Keypad-Library-for-CHIP

42794c3460818714fccc1c5a967e151504ef2ade

[ "MIT" ]

null

contoh_2.py

sumarouno/4x4-Matrix-Keypad-Library-for-CHIP

42794c3460818714fccc1c5a967e151504ef2ade

[ "MIT" ]

null

contoh_2.py

sumarouno/4x4-Matrix-Keypad-Library-for-CHIP

42794c3460818714fccc1c5a967e151504ef2ade

[ "MIT" ]

null

#!/usr/bin/python3 from time import sleep from sys import exit import keypad_4x4_lib_sumar kp =keypad_4x4_lib_sumar.keypad() # Setup variables attempt = "0000" passcode = "1912" counter = 0 # Loop while waiting for a keypress while True: # Loop to get a pressed digit digit = None while digit == None: digit = kp.getKey() # Print the result print ("Digit Entered: %s"%digit) attempt = (attempt[1:] + str(digit)) print ("Attempt value: %s"%attempt) # Check for passcode match if (attempt == passcode): print ("Your code was correct, goodbye.") exit() else: counter += 1 print ("Entered digit count: %s"%counter) if (counter >= 4): print ("Incorrect code!") sleep(3) print ("Try Again") sleep(1) counter = 0 sleep(0.5)

18.452381

43

0.658065

111

775

4.540541

0.531532

0.035714

0.047619

0.06746

0

0.036184

0.215484

775

41

44

18.902439

0.792763

0.176774

0

0.074074

0

0.208861

0

1

0

false

0.074074

0.111111

0

0.111111

0.222222

0

null

0

null

0

1

0

1

0c9646550e91efca615eedc91a6895d4f88c0e06

276

py

Python

fdk_client/common/date_helper.py

kavish-d/fdk-client-python

a1023eb530473322cb52e095fc4ceb226c1e6037

[ "MIT" ]

null

fdk_client/common/date_helper.py

kavish-d/fdk-client-python

a1023eb530473322cb52e095fc4ceb226c1e6037

[ "MIT" ]

null

fdk_client/common/date_helper.py

kavish-d/fdk-client-python

a1023eb530473322cb52e095fc4ceb226c1e6037

[ "MIT" ]

null

from datetime import datetime import pytz from .constants import TIMEZONE timezone = pytz.timezone(TIMEZONE) def get_ist_now(): """Returns Indian Standard Time datetime object. Returns: object -- Datetime object """ return datetime.now(timezone)

16.235294

52

0.710145

32

276

6.0625

0.5

0.14433

0

0.213768

276

16

53

17.25

0.894009

0.307971

0

1

0.166667

false

0

0.5

0

0.833333

0

null

0

null

0

1

0

1

0c998b3ac75eae9f76dce560875ced69e8123b01

6,511

py

Python

cmdb_v0.1/apps/detail/models.py

codemaker-man/projects

334aac28b72a7b466fba23df4db11e95df13a3ec

[ "MIT" ]

1

2018-12-05T05:29:46.000Z

cmdb_v0.1/apps/detail/models.py

codemaker-man/projects

334aac28b72a7b466fba23df4db11e95df13a3ec

[ "MIT" ]

null

cmdb_v0.1/apps/detail/models.py

codemaker-man/projects

334aac28b72a7b466fba23df4db11e95df13a3ec

[ "MIT" ]

null

# -*- coding:utf-8 -*- from django.db import models import django.utils.timezone as timezone # 用户登录信息表(服务器、虚拟机) class ConnectionInfo(models.Model): # 用户连接相关信息 ssh_username = models.CharField(max_length=10, default='', verbose_name=u'ssh用户名', null=True) ssh_userpasswd = models.CharField(max_length=40, default='', verbose_name=u'ssh用户密码', null=True) ssh_hostip = models.CharField(max_length=40, default='', verbose_name=u'ssh登录的ip', null=True) ssh_host_port = models.CharField(max_length=10, default='', verbose_name=u'ssh登录的端口', null=True) ssh_rsa = models.CharField(max_length=64, default='', verbose_name=u'ssh私钥') rsa_pass = models.CharField(max_length=64, default='', verbose_name=u'私钥的密钥') # 0-登录失败,1-登录成功 ssh_status = models.IntegerField(default=0, verbose_name=u'用户连接状态,0-登录失败,1-登录成功') # 1-rsa登录,2-dsa登录,3-普通用户_rsa登录,4-docker成功,5-docker无法登录 ssh_type = models.IntegerField(default=0, verbose_name=u'用户连接类型, 1-rsa登录,2-dsa登录,' u'3-ssh_rsa登录,4-docker成功,5-docker无法登录') # 唯一对象标示 sn_key = models.CharField(max_length=256, verbose_name=u"唯一设备ID", default="") class Meta: verbose_name = u'用户登录信息表' verbose_name_plural = verbose_name db_table = "connectioninfo" #用户登录信息表(交换机、网络设备) class NetConnectionInfo(models.Model): tel_username = models.CharField(max_length=10, default='', verbose_name=u'用户名', null=True) tel_userpasswd = models.CharField(max_length=40, default='', verbose_name=u'设备用户密码', null=True) tel_enpasswd = models.CharField(max_length=40, default='', verbose_name=u'设备超级用户密码', null=True) tel_host_port = models.CharField(max_length=10, default='', verbose_name=u'设备登录的端口', null=True) tel_hostip = models.CharField(max_length=40, default='', verbose_name=u'设备登录的ip', null=True) # 0-登录失败,1-登录成功 tel_status = models.IntegerField(default=0, verbose_name=u'用户连接状态,0-登录失败,1-登录成功') tel_type = models.IntegerField(default=0, verbose_name=u'用户连接类型, 1-普通用户可登录,2-超级用户可登录') # 唯一对象标示 sn_key = models.CharField(max_length=256, verbose_name=u"唯一设备ID", default="") dev_info = models.ForeignKey('NetWorkInfo') class Meta: verbose_name = u'网络设备用户登录信息' verbose_name_plural = verbose_name db_table = "netconnectioninfo" # 机柜的信息 class CabinetInfo(models.Model): cab_name = models.CharField(max_length=10, verbose_name=u'机柜编号') # 1-10分别代表1~10层 cab_lever = models.CharField(max_length=2, verbose_name=u'机器U数,1-10分别代表1~10层') class Meta: verbose_name = u'机柜信息表' verbose_name_plural = verbose_name db_table = "cabinetinfo" # 物理服务器信息 class PhysicalServerInfo(models.Model): # server_name = models.CharField(max_length=15, verbose_name=u'服务器名') server_ip = models.CharField(max_length=40, verbose_name=u'服务器IP') # 机器的类型 dell or other? machine_brand = models.CharField(max_length=60, default='--', verbose_name=u'服务器品牌') # 机器的类型 # machine_type = models.IntegerField(default=0, verbose_name=u'服务器,0-物理服务器，1-虚拟服务器，2-') system_ver = models.CharField(max_length=30, default='', verbose_name=u'操作系统版本') sys_hostname = models.CharField(max_length=15, verbose_name=u'操作系统主机名') mac = models.CharField(max_length=512, default='', verbose_name=u'MAC地址') sn = models.CharField(max_length=256, verbose_name=u'SN-主机的唯一标识', default='') vir_type = models.CharField(max_length=2, verbose_name=u'宿主机类型', default='') # 物理服务器关联的机柜 ser_cabin = models.ForeignKey('CabinetInfo') # 用户登录系统信息 conn_phy = models.ForeignKey('ConnectionInfo') class Meta: verbose_name = u'物理服务器信息表' verbose_name_plural = verbose_name db_table = "physicalserverinfo" # 虚拟设备信息 class VirtualServerInfo(models.Model): # server_name = models.CharField(max_length=15, verbose_name=u'服务器名') server_ip = models.CharField(max_length=40, verbose_name=u'服务器IP') # 机器的类型 0=kvm,2=虚拟资产,3=网络设备 0=其他类型(未知) server_type = models.CharField(max_length=80, default='', verbose_name=u'服务器类型:kvm,Vmware,Docker,others') system_ver = models.CharField(max_length=30, default='', verbose_name=u'操作系统版本') sys_hostname = models.CharField(max_length=15, verbose_name=u'操作系统主机名') mac = models.CharField(max_length=512, default='', verbose_name=u'MAC地址') sn = models.CharField(max_length=256, verbose_name=u'SN-主机的唯一标识', default='') # 虚拟设备关联的物理服务器 vir_phy = models.ForeignKey('PhysicalServerInfo') # 用户登录系统信息 conn_vir = models.ForeignKey('ConnectionInfo') class Meta: verbose_name = u'虚拟设备表' verbose_name_plural = verbose_name db_table = "virtualserverinfo" # 网络设备表 class NetWorkInfo(models.Model): host_ip = models.CharField(max_length=40, verbose_name=u'网络设备ip') host_name = models.CharField(max_length=10, verbose_name=u'网络设备名') sn = models.CharField(max_length=256, verbose_name=u"SN－设备的唯一标识", default="") # 网络设备所在的机柜 net_cab = models.ForeignKey('CabinetInfo') class Meta: verbose_name = u'网络设备表' verbose_name_plural = verbose_name db_table = "networkinfo" class OtherMachineInfo(models.Model): ip = models.CharField(max_length=40, verbose_name=u'设备ip') sn_key = models.CharField(max_length=256, verbose_name=u'设备的唯一标识') machine_name = models.CharField(max_length=20, verbose_name=u'设备名称') remark = models.TextField(default='', verbose_name=u'备注') reson_str = models.CharField(max_length=128,verbose_name=u"归纳原因",default='') # 关联的机柜 oth_cab = models.ForeignKey('CabinetInfo') class Meta: verbose_name = u'其它设备表' verbose_name_plural = verbose_name db_table = 'othermachineinfo' class StatisticsRecord(models.Model): datatime = models.DateTimeField(verbose_name=u"更新时间",default=timezone.now().strftime('%Y-%m-%d')) all_count = models.IntegerField(verbose_name=u"所有设备数量",default=0) pyh_count = models.IntegerField(verbose_name=u"物理设备数量",default=0) net_count = models.IntegerField(verbose_name=u"网络设备数量",default=0) other_count = models.IntegerField(verbose_name=u"其他设备数量",default=0) kvm_count = models.IntegerField(verbose_name=u"KVM设备数量",default=0) docker_count = models.IntegerField(verbose_name=u"Docker设备数量",default=0) vmx_count = models.IntegerField(verbose_name=u"VMX设备数量",default=0) class Meta: verbose_name = u'扫描后的汇总硬件统计信息' verbose_name_plural = verbose_name db_table = 'statisticsrecord'

42.835526

109

0.714176

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6,511

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0.184646

0.15846

0.198747

0.649284

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0.435989

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6,511

151

110

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0.790049

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false

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0.744898

0

null

0

1

0

null

0

1

0c9b51976e219b5f5ddeb4bf2182d69d5aa73bdd

1,202

py

Python

backend/api/migrations/0002_auto_20210517_0943.py

luxu/django-vue-luxu

a4da215697df578074e354d43dd1d9995490d0db

[ "MIT" ]

null

backend/api/migrations/0002_auto_20210517_0943.py

luxu/django-vue-luxu

a4da215697df578074e354d43dd1d9995490d0db

[ "MIT" ]

null

backend/api/migrations/0002_auto_20210517_0943.py

luxu/django-vue-luxu

a4da215697df578074e354d43dd1d9995490d0db

[ "MIT" ]

null

# Generated by Django 3.2 on 2021-05-17 12:43 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('api', '0001_initial'), ] operations = [ migrations.CreateModel( name='Pavilhao', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('numero', models.IntegerField()), ], ), migrations.AlterField( model_name='message', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.CreateModel( name='Sentenciado', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('nome', models.CharField(max_length=30)), ('matricula', models.CharField(max_length=50)), ('pavilhao', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.pavilhao')), ], ), ]

33.388889

117

0.578203

118

1,202

5.771186

0.474576

0.035242

0.096916

0.127753

0.349486

0

0.025671

0.287022

1,202

35

118

34.342857

0.768961

0.035774

0

0.37931

1

0

0.079516

0

1

0

false

0

0.068966

0

0.172414

0

null

0

1

0

null

0

1

0ca263d5ceb8c0df9da68a027a9e2c49d50656ac

268

py

Python

data/landice-5g/tiff_to_shp.py

scottsfarley93/IceSheetsViz

f4af84f16af875c5753dca6b8c173c253d9218d4

[ "MIT" ]

null

data/landice-5g/tiff_to_shp.py

scottsfarley93/IceSheetsViz

f4af84f16af875c5753dca6b8c173c253d9218d4

[ "MIT" ]

1

2017-02-28T18:49:04.000Z

2017-02-28T18:49:55.000Z

data/landice-5g/tiff_to_shp.py

scottsfarley93/IceSheetsViz

f4af84f16af875c5753dca6b8c173c253d9218d4

[ "MIT" ]

null

import os for filename in os.listdir("rasters"): print filename f = filename.replace(".tiff", "") tiff = "rasters/" + filename out = "shapefiles/" + f + ".shp" cmd = "gdal_polygonize.py " + tiff + " -f 'ESRI Shapefile' " + out os.system(cmd)

24.363636

70

0.589552

33

268

4.757576

0.636364

0

0.242537

268

10

71

26.8

0.773399

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0

null

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null

0.125

0

null

0

null

0

1

0

1

0ca33e888a8c5506799931e71fe1070bf6588145

3,758

py

Python

we_sensesim.py

y95847frank/GenSense

0da122bea9b7bd51444748444700b5f788bd8a48

[ "MIT" ]

3

2018-05-31T05:52:18.000Z

2019-12-20T07:15:56.000Z

we_sensesim.py

y95847frank/GenSense

0da122bea9b7bd51444748444700b5f788bd8a48

[ "MIT" ]

null

we_sensesim.py

y95847frank/GenSense

0da122bea9b7bd51444748444700b5f788bd8a48

[ "MIT" ]

null

import numpy as np import sys import utils import os from collections import defaultdict from nltk.corpus import wordnet as wn from scipy.spatial.distance import cosine from scipy.spatial.distance import correlation from numpy.linalg import norm from scipy.stats import spearmanr, pearsonr from utils import trim import pdb """ Sense embedding format: see https://github.com/sjauhar/SenseRetrofit Use ',' to seperate Datasets """ def run(path, fname): ''' if len(sys.argv) != 3: print("Usage: python we_sensesim.py SenseEmbedding Datasets") exit(0) ''' #wvs = utils.readWordVecs(os.path.expanduser(full_path)) wvs = utils.readWordVecs(sys.argv[1]) print("Finish reading vector!") wvssen = {} s_list = defaultdict(list) for sense in wvs: wvssen[sense.split("%")[0]] = '' s_list[sense.split("%")[0]].append(sense) mean_vector = np.mean(wvs.values(), axis=0) spear_score_max = [] spear_score_avg = [] f_name = [] for name in fname: full_path = os.path.join(path, name) filenames = os.path.expanduser(full_path).split(',') pairs, scores = utils.readDataset(filenames[0], no_skip=True) #f_name.append(filenames[0]) #print("Pair number for %s: %d"%(filenames[0], len(pairs))) coefs_max = [] coefs_avg = [] missing = 0 for pair in pairs: vecs0 = [] trimed_p0 = trim(pair[0], wvssen) if trimed_p0 not in wvssen: vecs0.append(mean_vector) missing += 1 #print trimed_p0, else: for sense in s_list[trimed_p0]: vecs0.append(wvs[sense]) ''' for sense in wvs: word = sense.split("%")[0] if trimed_p0 == word: vecs0.append(wvs[sense]) ''' vecs1 = [] trimed_p1 = trim(pair[1],wvssen) if trimed_p1 not in wvssen: vecs1.append(mean_vector) missing += 1 #print trimed_p1, else: for sense in s_list[trimed_p1]: vecs1.append(wvs[sense]) ''' for sense in wvs: word = sense.split("%")[0] if trimed_p1 == word: vecs1.append(wvs[sense]) ''' ''' max_value and avg_value: see "Multi-Prototype Vector-Space Models of Word Meaning" section 3.2 Measuring Semantic Similarity http://www.cs.utexas.edu/~ml/papers/reisinger.naacl-2010.pdf ''' max_value = max([1-cosine(a,b) for a in vecs0 for b in vecs1]) avg_value = np.mean([1-cosine(a,b) for a in vecs0 for b in vecs1]) coefs_max.append(max_value) coefs_avg.append(avg_value) spear_max = spearmanr(scores, coefs_max) pearson_max = pearsonr(scores, coefs_max) spear_avg = spearmanr(scores, coefs_avg) pearson_avg = pearsonr(scores, coefs_avg) spear_score_max.append(spear_max[0]) spear_score_avg.append(spear_avg[0]) print 'type \t', for i in range(len(fname)): print fname[i].split('.')[0], print '\nspear max\t', for i in range(len(fname)): print '%.04f,' % (spear_score_max[i]), print '\nspear avg\t', for i in range(len(fname)): print '%.04f,' % (spear_score_avg[i]), if __name__ == "__main__": run('./eval_data', ['EN-MEN-n.txt', 'EN-MEN-l.txt', 'EN-TRUK.txt', 'EN-RW.txt', 'EN-WS353.txt', 'EN-WS353-s.txt', 'EN-WS353-r.txt'])

33.256637

140

0.549228

475

3,758

4.208421

0.307368

0.030015

0.025013

0.01951

0.245623

0.191596

0.131566

0.11906

0

0.024496

0.326503

3,758

112

141

33.553571

0.76531

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0

0.101449

0

0.065465

0

null

0

0.173913

null

0.101449

0

null

0

null

0

1

0

1

0cab395492740b9b3d338ab6d9a913dcbe6912e1

1,327

py

Python

src/pages/random.py

jojo935/Kemono2

bdfaf0ab2dd3c2c4a04805feea8e9fb6193cbd9b

[ "BSD-3-Clause" ]

null

src/pages/random.py

jojo935/Kemono2

bdfaf0ab2dd3c2c4a04805feea8e9fb6193cbd9b

[ "BSD-3-Clause" ]

null

src/pages/random.py

jojo935/Kemono2

bdfaf0ab2dd3c2c4a04805feea8e9fb6193cbd9b

[ "BSD-3-Clause" ]

null

from flask import Blueprint, redirect, url_for, g from ..utils.utils import make_cache_key from ..internals.cache.redis import get_conn from ..internals.cache.flask_cache import cache from ..internals.database.database import get_cursor from ..lib.artist import get_artist, get_random_artist_keys from ..lib.post import get_post, get_random_posts_keys from ..lib.ab_test import get_ab_variant from ..utils.utils import get_value import random as rand random = Blueprint('random', __name__) @random.route('/posts/random') def random_post(): post = get_random_post() if post is None: return redirect('back') return redirect(url_for('post.get', service = post['service'], artist_id = post['user'], post_id = post['id'])) @random.route('/artists/random') def random_artist(): artist = get_random_artist() if artist is None: return redirect('back') return redirect(url_for('artists.get', service = artist['service'], artist_id = artist['id'])) def get_random_post(): post_keys = get_random_posts_keys(1000) if len(post_keys) == 0: return None return rand.choice(post_keys) def get_random_artist(): artists = get_random_artist_keys(1000) if len(artists) == 0: return None return rand.choice(artists)

30.159091

116

0.699322

187

1,327

4.716578

0.245989

0.081633

0.068027

0.045351

0.160998

0.099773

0

0.009294

0.189148

1,327

43

117

30.860465

0.810409

0

0.121212

0

0.064642

0

1

0.121212

false

0

0.30303

0

0.666667

0.060606

0

null

0

null

0

1

0

1

0cac991dc2d4d32121af9b2da9f1960fba266638

917

py

Python

benchmark_constructor/file_normalizers/ContactSelectFileNormalizer.py

Kortemme-Lab/benchmark_set_construct

ee6c9e097ff49d370936b41f102ada006fb4441a

[ "MIT" ]

null

benchmark_constructor/file_normalizers/ContactSelectFileNormalizer.py

Kortemme-Lab/benchmark_set_construct

ee6c9e097ff49d370936b41f102ada006fb4441a

[ "MIT" ]

null

benchmark_constructor/file_normalizers/ContactSelectFileNormalizer.py

Kortemme-Lab/benchmark_set_construct

ee6c9e097ff49d370936b41f102ada006fb4441a

[ "MIT" ]

null

import os from .FileNormalizer import FileNormalizer class ContactSelectFileNormalizer(FileNormalizer): '''ContactSelectFileNormalizer creates a pymol script that selects residues which have contacts to asymmetric units. ''' def __init__(self): pass def normalize_one_file(self, path, crystal_contact_res_set): cmd = 'select crystal_contact_res,' for res in crystal_contact_res_set: cmd += ' res {0} and chain {1}'.format(res[1], res[0]) with open(path, 'w') as f: f.write(cmd) def apply(self, info_dict): for structure_dict in info_dict['candidate_list']: d = os.path.dirname(structure_dict['path']) n = '.'.join([structure_dict['name']+'_show_crystal_contact', 'pml']) if 'crystal_contact_res_set' in structure_dict.keys(): self.normalize_one_file(os.path.join(d, n), structure_dict['crystal_contact_res_set'])

31.62069

94

0.691385

122

917

4.92623

0.5

0.139767

0.141431

0.133111

0.076539

0

0.005413

0.194111

917

28

95

32.75

0.807848

0.123228

0

0.181013

0.08481

0

1

0.176471

false

0.058824

0.117647

0

0.352941

0

null

0

null

0

1

0

1

0cac9d083e4dfd2daccd29d3da4102e79f646255

1,919

py

Python

neurovault/apps/statmaps/tests/test_qa.py

abitrolly/NeuroVault

e62bc65c8e0e58bff55bb9fa7cf11193dc54d734

[ "MIT" ]

68

2015-02-07T06:09:49.000Z

2022-03-03T22:58:33.000Z

neurovault/apps/statmaps/tests/test_qa.py

abitrolly/NeuroVault

e62bc65c8e0e58bff55bb9fa7cf11193dc54d734

[ "MIT" ]

436

2015-01-01T01:01:13.000Z

2021-11-07T18:24:00.000Z

neurovault/apps/statmaps/tests/test_qa.py

abitrolly/NeuroVault

e62bc65c8e0e58bff55bb9fa7cf11193dc54d734

[ "MIT" ]

60

2015-01-10T23:31:26.000Z

2021-08-10T06:39:57.000Z

import os import nibabel as nb import numpy as np from django.test import TestCase from neurovault.apps.statmaps.models import BaseStatisticMap from neurovault.apps.statmaps.utils import is_thresholded, infer_map_type class QATest(TestCase): def setUp(self): this_path = os.path.abspath(os.path.dirname(__file__)) self.brain = nb.load(os.path.join(this_path, "../static", "anatomical", "MNI152.nii.gz")) self.roi_map = nb.load(os.path.join(this_path, "test_data", "statmaps", "WA3.nii.gz")) self.parcellation = nb.load(os.path.join(this_path, "test_data", "TTatlas.nii.gz")) # We will fill in brain mask with this percentage of randomly placed values self.ratios = [0.0,0.1,0.15,0.2,0.25,0.3,0.4,0.5,0.6,0.96, 0.98] self.thresholded = [False,False,False,False,False,False,False,False,False,True,True] def testThresholded(self): for p,t in zip(self.ratios, self.thresholded): empty_data = np.ones(self.brain.shape) if p != 0.0: number_voxels = int(np.floor(p * empty_data.size)) random_idx = np.random.choice(range(empty_data.size), number_voxels, replace=False) empty_data[np.unravel_index(random_idx, empty_data.shape)] = 0 empty_nii = nb.Nifti1Image(empty_data,affine=self.brain.get_affine(),header=self.brain.get_header()) is_thr, ratio_bad = is_thresholded(nii_obj=empty_nii) print "Zeroed %s of values, is_thresholded returns [%s:%s]" %(p,is_thr,ratio_bad) self.assertAlmostEqual(p, ratio_bad, delta=0.001) self.assertEquals(t, is_thr) def testInferMapType(self): self.assertEquals(infer_map_type(self.roi_map), BaseStatisticMap.R) self.assertEquals(infer_map_type(self.parcellation), BaseStatisticMap.Pa) self.assertEquals(infer_map_type(self.brain), BaseStatisticMap.OTHER)

50.5

112

0.684211

283

1,919

4.480565

0.392226

0.063091

0.082808

0.094637

0.180599

0.10489

0.085962

0.050473

0

0.024422

0.189161

1,919

38

113

50.5

0.790488

0.038041

0

0.072087

0

0.166667

0

null

0

0.2

null

0.033333

0

null

0

null

0

1

0

1

0caeebf4e3ed3af12c71f32665fdf047f4676dd8

497

py

Python

backend/app/utils.py

dashdashforce/int20h-test-photo-viewer

1720ec2c30685eac9d1e5ef9ecf3d389239ee566

[ "MIT" ]

null

backend/app/utils.py

dashdashforce/int20h-test-photo-viewer

1720ec2c30685eac9d1e5ef9ecf3d389239ee566

[ "MIT" ]

20

2019-02-04T21:57:59.000Z

2019-02-10T21:50:17.000Z

backend/app/utils.py

dashdashforce/int20h-test-photo-viewer

1720ec2c30685eac9d1e5ef9ecf3d389239ee566

[ "MIT" ]

null

from functools import reduce from itertools import groupby from operator import add, itemgetter def merge_records_by(key, combine): return lambda first, second: { k: first[k] if k == key else combine(first[k], second[k]) for k in first } def merge_list_of_records_by(key, combine): keyprop = itemgetter(key) return lambda lst: [ reduce(merge_records_by(key, combine), records) for _, records in groupby(sorted(lst, key=keyprop), keyprop) ]

24.85

68

0.682093

69

497

4.782609

0.42029

0.081818

0.109091

0.172727

0.145455

0

0.227364

497

19

69

26.157895

0.859375

0

1

0.142857

false

0

0.214286

0.071429

0.5

0

null

0

1

0

null

0

1

0cb93959fe2a17c6bba6b5049a41d091d98ecf1d

1,174

py

Python

slixmpp/plugins/xep_0421/stanza.py

cnngimenez/slixmpp

bb61f0f39dfba205282dab50c0f3a47b26145c74

[ "BSD-3-Clause" ]

null

slixmpp/plugins/xep_0421/stanza.py

cnngimenez/slixmpp

bb61f0f39dfba205282dab50c0f3a47b26145c74

[ "BSD-3-Clause" ]

null

slixmpp/plugins/xep_0421/stanza.py

cnngimenez/slixmpp

bb61f0f39dfba205282dab50c0f3a47b26145c74

[ "BSD-3-Clause" ]

null

""" Slixmpp: The Slick XMPP Library Copyright (C) 2020 "Maxime “pep” Buquet <pep@bouah.net>" This file is part of Slixmpp. See the file LICENSE for copying permission. """ from slixmpp.xmlstream import ElementBase NS = 'urn:xmpp:occupant-id:0' class OccupantId(ElementBase): ''' An Occupant-id tag. An <occupant-id/> tag is set by the MUC. This is useful in semi-anon MUCs (and MUC-PMs) as a stable identifier to prevent the usual races with nicknames. Without occupant-id, getting the following messages from MUC history would prevent a client from asserting senders are the same entity: <message type='groupchat' from='foo@muc/nick1' id='message1'> <body>Some message</body> <occupant-id xmlns='urn:xmpp:occupant-id:0' id='unique-opaque-id1'/> </message> <message type='groupchat' from='foo@muc/nick2' id='message2'> <body>Some correction</body> <occupant-id xmlns='urn:xmpp:occupant-id:0' id='unique-opaque-id1'/> <replace xmlns='urn:xmpp:message-correct:0' id='message1'/> </message> ''' name = 'occupant-id' namespace = NS interface = {'id'}

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0.663543

164

1,174

4.75

0.536585

0.115533

0.057766

0.065469

0.238768

0.215661

0.138639

0

0.016181

0.210392

1,174

40

79

29.35

0.824164

0.764055

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0.192308

0.120879

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false

0

0.166667

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0.833333

0

null

0

null

0

1

0

1

0cbd80d538ed5aeecd342647472ca2c49593352a

3,110

py

Python

TaxPy/data_processing/export_reads.py

stenglein-lab/TaxAssessor

144599d1395627c4e86ab68a4d6d3e0785e606f0

[ "MIT" ]

null

TaxPy/data_processing/export_reads.py

stenglein-lab/TaxAssessor

144599d1395627c4e86ab68a4d6d3e0785e606f0

[ "MIT" ]

2

2016-11-29T19:48:27.000Z

2016-12-09T17:18:56.000Z

TaxPy/data_processing/export_reads.py

stenglein-lab/TaxAssessor

144599d1395627c4e86ab68a4d6d3e0785e606f0

[ "MIT" ]

null

#!/usr/bin/python import json import timeit import re import TaxPy.db_management.db_wrap as TaxDb from itertools import izip def retrieveReads(userName,fileName,fileId,parentTaxId,query): time1 = timeit.default_timer() taxTree = loadTaxTree(userName,fileName) time2 = timeit.default_timer() print str(time2-time1)+" seconds loading tree" status,subTree = findSubTree(taxTree,parentTaxId) time3 = timeit.default_timer() print str(time3-time2)+" finding subtree" children = findChildren(subTree,[]) time4 = timeit.default_timer() print str(time4-time3)+" finding children" readLines,status = getReadLines(children,fileId,query) time5 = timeit.default_timer() print str(time5-time4)+" getting read lines" return readLines,status def findSubTree(tree,parentTaxId,found=False): subTree = None if int(tree["taxId"]) == int(parentTaxId) or found: return True,tree try: for child in tree["children"]: found,subTree = findSubTree(child,parentTaxId) if found: return True,subTree except KeyError: pass return found,subTree def findChildren(tree,children): children.append(tree["taxId"]) try: for child in tree["children"]: children = findChildren(child,children) except KeyError: pass return children def loadTaxTree(userName,fileName): jsonFile = "uploads/"+userName+"/"+fileName+"_tree.json" with open(jsonFile,"r") as inFile: taxTree = json.load(inFile) return taxTree def getReadLines(children,fileId,query): readLines = [] count = 0 with TaxDb.openDbSS("TaxAssessor_Alignments") as db, \ TaxDb.cursor(db) as cur: cmd = "SELECT COUNT(*) FROM "+fileId+" WHERE taxId IN " children = "("+str(children).lstrip("[").rstrip("]")+")" cmd += children cur.execute(cmd) nRows = cur.fetchall()[0][0] cmd = "SELECT "+query+" FROM "+fileId+" WHERE taxId IN " cmd += children + ";" cur.execute(cmd) for line in cur: readLines.append(line[0]) return readLines,str(nRows) def getReadsForTaxIds(userName,fileName,fileId,taxIds,query): readLines = [] count = 0 with TaxDb.openDbSS("TaxAssessor_Alignments") as db, \ TaxDb.cursor(db) as cur: cmd = "SELECT "+query+" FROM "+fileId+" WHERE taxId IN (%s)" in_p=', '.join(map(lambda x: '%s', taxIds)) cmd = cmd % in_p cur.execute(cmd,taxIds) for line in cur: readLines.append(line[0]) return readLines def getReadsForGiInTaxId(userName,fileName,fileId,taxId,seqId,query): readLines = [] count = 0 with TaxDb.openDbSS("TaxAssessor_Alignments") as db, \ TaxDb.cursor(db) as cur: cmd = "SELECT "+query+" FROM "+fileId+" WHERE taxId=%s AND seqId=%s" cur.execute(cmd,(taxId,seqId)) for line in cur: readLines.append(line[0]) return readLines

27.280702

76

0.618971

355

3,110

5.385915

0.278873

0.050209

0.047071

0.048117

0.376569

0.285565

0.259414

0.23954

0

0.009142

0.261415

3,110

113

77

27.522124

0.823248

0.005145

0

0.361446

0

0.107986

0.021339

0

null

0.024096

0.060241

null

0.048193

0

null

0

null

0

1

0

1

0cc0bf99ee01e613b032f7efe713db47ddaef6b6

1,137

py

Python

ossdbtoolsservice/metadata/contracts/object_metadata.py

DaeunYim/pgtoolsservice

b7e548718d797883027b2caee2d4722810b33c0f

[ "MIT" ]

33

2019-05-27T13:04:35.000Z

2022-03-17T13:33:05.000Z

ossdbtoolsservice/metadata/contracts/object_metadata.py

DaeunYim/pgtoolsservice

b7e548718d797883027b2caee2d4722810b33c0f

[ "MIT" ]

31

2019-06-10T01:55:47.000Z

2022-03-09T07:27:49.000Z

ossdbtoolsservice/metadata/contracts/object_metadata.py

DaeunYim/pgtoolsservice

b7e548718d797883027b2caee2d4722810b33c0f

[ "MIT" ]

25

2019-05-13T18:39:24.000Z

2021-11-16T03:07:33.000Z

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- import enum from typing import Optional from ossdbtoolsservice.serialization import Serializable class MetadataType(enum.Enum): """Contract enum for representing metadata types""" TABLE = 0 VIEW = 1 SPROC = 2 FUNCTION = 3 class ObjectMetadata(Serializable): """Database object metadata""" @classmethod def get_child_serializable_types(cls): return {'metadata_type': MetadataType} def __init__(self, urn: str = None, metadata_type: MetadataType = None, metadata_type_name: str = None, name: str = None, schema: Optional[str] = None): self.metadata_type: MetadataType = metadata_type self.metadata_type_name: str = metadata_type_name self.name: str = name self.schema: str = schema self.urn: str = urn

34.454545

156

0.591029

116

1,137

5.646552

0.5

0.128244

0.109924

0.058015

0

0.004278

0.177661

1,137

32

157

35.53125

0.696257

0.358839

0

0.018182

0

1

0.111111

false

0

0.166667

0.055556

0.666667

0

null

0

null

0

1

0

1

0cc52afa5bda9e011a3f67aa407ce29b267af421

1,409

py

Python

Unit 7 Objects/LessonQ33.1.py

ItsMrTurtle/PythonChris

4513dea336e68f48fabf480ad87bc538a323c2cd

[ "MIT" ]

null

Unit 7 Objects/LessonQ33.1.py

ItsMrTurtle/PythonChris

4513dea336e68f48fabf480ad87bc538a323c2cd

[ "MIT" ]

null

Unit 7 Objects/LessonQ33.1.py

ItsMrTurtle/PythonChris

4513dea336e68f48fabf480ad87bc538a323c2cd

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed May 27 18:48:24 2020 @author: Christopher Cheng """ class Stack(object): def __init__ (self): self.stack = [] def get_stack_elements(self): return self.stack.copy() def add_one(self, item): self.stack.append(item) def add_many(self,item,n): # item is still a single string, n times for i in range (n): self.stack.append(item) def remove_one(self): self.stack.pop() def remove_many(self,n): for i in range(n): self.stack.pop() def size(self): return len(self.stack) def prettyprint(self): for thing in self.stack[::-1]: print("|_", thing,"_|") def add_list(self, L): for e in L: self.stack.append(e) def __str__ (self): ret = "" for thing in self.stack[::-1]: ret += ("|_" + str(thing) + "_|\n") return ret class Circle (object): def __init__(self): self.radius = 0 def change_radius(self, radius): self.radius = radius def get_radius (self): return self.radius def __str__(self): return "circle: " + str(self.radius) circles = Stack() one_circle = Circle() one_circle.change_radius(1) circles.add_one(one_circle) two_circle = Circle() two_circle.change_radius(2) circles.add_one(two_circle) print(circles)

26.092593

71

0.581973

193

1,409

4.046632

0.316062

0.115237

0.057618

0.043534

0.203585

0.104994

0.053777

0

0.017822

0.28318

1,409

54

72

26.092593

0.755446

0.088715

0

0.266667

0

0.014107

0

1

0.311111

false

0

0.088889

0.466667

0.066667

0

null

0

null

0

1

0

1

0cc75fc2057f1d904d4d63b853c8dc9ff11fc8ab

987

py

Python

featureflags/config.py

enverbisevac/ff-python-server-sdk

e7c809229d13517e0bf4b28fc0a556e693c9034e

[ "Apache-2.0" ]

null

featureflags/config.py

enverbisevac/ff-python-server-sdk

e7c809229d13517e0bf4b28fc0a556e693c9034e

[ "Apache-2.0" ]

null

featureflags/config.py

enverbisevac/ff-python-server-sdk

e7c809229d13517e0bf4b28fc0a556e693c9034e

[ "Apache-2.0" ]

null

"""Configuration is a base class that has default values that you can change during the instance of the client class""" from typing import Callable BASE_URL = "https://config.feature-flags.uat.harness.io/api/1.0" MINUTE = 60 PULL_INTERVAL = 1 * MINUTE class Config(object): def __init__(self, base_url: str = BASE_URL, pull_interval: int = PULL_INTERVAL, cache: object = None, store: object = None, enable_stream: bool = False): self.base_url = base_url self.pull_interval = pull_interval self.cache = cache self.store = store self.enable_stream = enable_stream default_config = Config() def with_base_url(base_url: str) -> Callable: def func(config: Config) -> None: config.base_url = base_url return func def with_stream_enabled(value: bool) -> Callable: def func(config: Config) -> None: config.enable_stream = value return func

25.973684

76

0.64843

130

987

4.723077

0.415385

0.102606

0.053746

0.068404

0.120521

0

0.006897

0.265451

987

37

77

26.675676

0.84

0.114488

0

0.166667

0

0.058756

0

1

0.208333

false

0

0.041667

0

0.375

0

null

0

null

0

1

0

1

0cc7dbac1b53714dc8579ed543f77deb34610c57

1,705

py

Python

src/users/management/commands/populate_tables.py

pimpale/BQuest-Backend

b32833ee5053db1c47fa28f57273632eae43a5cc

[ "MIT" ]

null

src/users/management/commands/populate_tables.py

pimpale/BQuest-Backend

b32833ee5053db1c47fa28f57273632eae43a5cc

[ "MIT" ]

51

2018-01-24T05:53:15.000Z

2022-01-13T00:44:24.000Z

src/users/management/commands/populate_tables.py

pimpale/BQuest-Backend

b32833ee5053db1c47fa28f57273632eae43a5cc

[ "MIT" ]

3

2020-04-22T03:21:37.000Z

2020-12-15T22:45:52.000Z

from django.core.management.base import BaseCommand from users.models import Major, Minor, Course from django.db import IntegrityError from os import path import json class Command(BaseCommand): def _create_majors(self): base_path = path.dirname(__file__) majors_path = path.abspath(path.join(base_path, "..", "..", "majors.json")) with open(majors_path) as majors_file: majors = json.load(majors_file) for major in majors: major_entry = Major(name=major) try: major_entry.save() except IntegrityError: pass def _create_minors(self): base_path = path.dirname(__file__) minors_path = path.abspath(path.join(base_path, "..", "..", "minors.json")) with open(minors_path) as minors_file: minors = json.load(minors_file) for minor in minors: minor_entry = Minor(name=minor) try: minor_entry.save() except IntegrityError: pass def _create_courses(self): base_path = path.dirname(__file__) courses_path = path.abspath(path.join(base_path, "..", "..", "courses.json")) with open(courses_path) as courses_file: courses = json.load(courses_file) for course in courses: course_entry = Course(name=course) try: course_entry.save() except IntegrityError: pass def handle(self, *args, **kwargs): self._create_majors() self._create_minors() self._create_courses()

32.788462

85

0.567742

183

1,705

5.027322

0.240437

0.052174

0.03913

0.052174

0.319565

0.192391

0

0.337243

1,705

52

86

32.788462

0.814159

0

0.27907

0

0.026964

0

1

0.093023

false

0.069767

0.116279

0

0.232558

0

null

0

null

0

1

0

1

0ccb7361200b302e98746fb913273e875a9c713b

593

py

Python

2019/06-hsctf/web-networked/solve.py

wani-hackase/wani-writeup

dd4ad0607d2f2193ad94c1ce65359294aa591681

[ "MIT" ]

25

2019-03-06T11:55:56.000Z

2021-05-21T22:07:14.000Z

2019/06-hsctf/web-networked/solve.py

wani-hackase/wani-writeup

dd4ad0607d2f2193ad94c1ce65359294aa591681

[ "MIT" ]

1

2020-06-25T07:27:15.000Z

2019/06-hsctf/web-networked/solve.py

wani-hackase/wani-writeup

dd4ad0607d2f2193ad94c1ce65359294aa591681

[ "MIT" ]

1

2019-02-14T00:42:28.000Z

import requests text = "0123456789abcdefghijklmnopqrstuvwxyz_}" flag = "hsctf{" for _ in range(30): time = [0.1 for _ in range(38)] for _ in range(5): for i in range(38): payload = {"password": flag + text[i]} r = requests.post( "https://networked-password.web.chal.hsctf.com", data=payload ) response_time = r.elapsed.total_seconds() time[i] += response_time print(payload, " response time : ", response_time) flag += text[time.index(max(time))] print("flag is ", flag)

21.962963

77

0.563238

69

593

4.724638

0.492754

0.08589

0.092025

0

0.046117

0.305228

593

26

78

22.807692

0.745146

0

0.205734

0.064081

0

1

0

false

0.125

0.0625

0

0.0625

0.125

0

null

0

null

0

1

0

1

0ccc2e5ca0664e29a1337110f68367598882b29e

3,936

py

Python

azure-iot-device/azure/iot/device/iothub/models/message.py

elhorton/azure-iot-sdk-python

484b804a64c245bd92930c13b970ff86f868b5fe

[ "MIT" ]

1

2019-02-06T06:52:44.000Z

azure-iot-device/azure/iot/device/iothub/models/message.py

elhorton/azure-iot-sdk-python

484b804a64c245bd92930c13b970ff86f868b5fe

[ "MIT" ]

null

azure-iot-device/azure/iot/device/iothub/models/message.py

elhorton/azure-iot-sdk-python

484b804a64c245bd92930c13b970ff86f868b5fe

[ "MIT" ]

1

2019-12-17T17:50:43.000Z

# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- """This module contains a class representing messages that are sent or received. """ from azure.iot.device import constant # TODO: Revise this class. Does all of this REALLY need to be here? class Message(object): """Represents a message to or from IoTHub :ivar data: The data that constitutes the payload :ivar custom_properties: Dictionary of custom message properties :ivar lock_token: Used by receiver to abandon, reject or complete the message :ivar message id: A user-settable identifier for the message used for request-reply patterns. Format: A case-sensitive string (up to 128 characters long) of ASCII 7-bit alphanumeric characters + {'-', ':', '.', '+', '%', '_', '#', '*', '?', '!', '(', ')', ',', '=', '@', ';', '$', '''} :ivar sequence_number: A number (unique per device-queue) assigned by IoT Hub to each message :ivar to: A destination specified for Cloud-to-Device (C2D) messages :ivar expiry_time_utc: Date and time of message expiration in UTC format :ivar enqueued_time: Date and time a C2D message was received by IoT Hub :ivar correlation_id: A property in a response message that typically contains the message_id of the request, in request-reply patterns :ivar user_id: An ID to specify the origin of messages :ivar ack: A feedback message generator. This property is used in C2D messages to request IoT Hub to generate feedback messages as a result of the consumption of the message by the device :ivar content_encoding: Content encoding of the message data. Can be 'utf-8', 'utf-16' or 'utf-32' :ivar content_type: Content type property used to route messages with the message-body. Can be 'application/json' :ivar output_name: Name of the output that the is being sent to. """ def __init__( self, data, message_id=None, content_encoding="utf-8", content_type="application/json", output_name=None, ): """ Initializer for Message :param data: The data that constitutes the payload :param str message_id: A user-settable identifier for the message used for request-reply patterns. Format: A case-sensitive string (up to 128 characters long) of ASCII 7-bit alphanumeric characters + {'-', ':', '.', '+', '%', '_', '#', '*', '?', '!', '(', ')', ',', '=', '@', ';', '$', '''} :param str content_encoding: Content encoding of the message data. Default is 'utf-8'. Other values can be utf-16' or 'utf-32' :param str content_type: Content type property used to routes with the message body. Default value is 'application/json' :param str output_name: Name of the output that the is being sent to. """ self.data = data self.custom_properties = {} self.lock_token = None self.message_id = message_id self.sequence_number = None self.to = None self.expiry_time_utc = None self.enqueued_time = None self.correlation_id = None self.user_id = None self.ack = None self.content_encoding = content_encoding self.content_type = content_type self.output_name = output_name self._iothub_interface_id = None @property def iothub_interface_id(self): return self._iothub_interface_id def set_as_security_message(self): """ Set the message as a security message. This is a provisional API. Functionality not yet guaranteed. """ self._iothub_interface_id = constant.SECURITY_MESSAGE_INTERFACE_ID def __str__(self): return str(self.data)

50.461538

298

0.649644

520

3,936

4.796154

0.301923

0.040096

0.027265

0.036087

0.262229

0.252606

0.194868

0.157979

0

0.00718

0.221545

3,936

77

299

51.116883

0.806789

0.690041

0

0.020038

0

0.012987

0

1

0.125

false

0

0.03125

0.0625

0.25

0

null

0

null

0

1

0

1

0ccd4f9fbf2b5d4dda1cc40e475be33aa9ef28bc

320

py

Python

scraping/test001.py

flaviogf/Exemplos

fc666429f6e90c388e201fb7b7d5801e3c25bd25

[ "MIT" ]

null

scraping/test001.py

flaviogf/Exemplos

fc666429f6e90c388e201fb7b7d5801e3c25bd25

[ "MIT" ]

5

2019-12-29T04:58:10.000Z

2021-03-11T04:35:15.000Z

scraping/test001.py

flaviogf/Exemplos

fc666429f6e90c388e201fb7b7d5801e3c25bd25

[ "MIT" ]

null

import pandas import requests with open('avengers.csv', 'w') as file: file_url = 'https://raw.githubusercontent.com/fivethirtyeight/data/master/avengers/avengers.csv' response = requests.get(file_url) file.write(response.text) with open('avengers.csv', 'r') as file: data_frame = pandas.read_csv(file)

29.090909

100

0.73125

45

320

5.111111

0.555556

0.143478

0.13913

0.165217

0

0.13125

320

10

101

32

0.827338

0

0.340625

0

1

0

false

0

0.25

0

0.25

0

null

0

1

0

null

0

1

0cdc773a241a8d2d5331293406b95caeb6731f44

926

py

Python

tests/test_load_bin_log.py

bols-blue-org/pid_evaluation

af210f2ef7ca49681ff41f4531cfcbd83d70aca0

[ "MIT" ]

1

2020-08-27T06:30:53.000Z

tests/test_load_bin_log.py

bols-blue-org/ape

af210f2ef7ca49681ff41f4531cfcbd83d70aca0

[ "MIT" ]

null

tests/test_load_bin_log.py

bols-blue-org/ape

af210f2ef7ca49681ff41f4531cfcbd83d70aca0

[ "MIT" ]

null

import unittest from ape.load_bin_log import LoadBinLog class LoadBinTestCase(unittest.TestCase): def test_LoadBinLogAll(self): data = LoadBinLog("../tests/log_0_2020-5-1-14-53-42.bin") self.assertGreater(len(data), 0, "no data") def test_LoadBinLogString(self): data = LoadBinLog("../tests/log_0_2020-5-1-14-53-42.bin", "RCOU") self.assertEqual(len(data), 822, "no data") def test_LoadBinLogStringArray(self): data = LoadBinLog("../tests/log_0_2020-5-1-14-53-42.bin", ["RCOU", "ATT"]) self.assertEqual(len(data), 1644, "no data") def test_SepalteRCIN6Para(self): data = LoadBinLog("../tests/log_13_2020-5-13-15-45-02.bin", ["RCOU", "ATT", "RCIN"]) dict = data.seplateRCIN6Param() for item in dict: print("data"+item) self.assertEqual(len(data), 1644, "no data") if __name__ == '__main__': unittest.main()

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93

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0.35

0.05

0

null

0

1

0

null

0

1

0ce7201689d9142cf85fb513dc2bf55a86b13523

475

py

Python

car/migrations/0004_sale_cc.py

jobkarani/carnect

8675d025e56fc07439b88e873e72a21cbbe747a9

[ "MIT" ]

null

car/migrations/0004_sale_cc.py

jobkarani/carnect

8675d025e56fc07439b88e873e72a21cbbe747a9

[ "MIT" ]

null

car/migrations/0004_sale_cc.py

jobkarani/carnect

8675d025e56fc07439b88e873e72a21cbbe747a9

[ "MIT" ]

null

# Generated by Django 3.2.9 on 2022-01-10 12:39 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('car', '0003_auto_20220110_1507'), ] operations = [ migrations.AddField( model_name='sale', name='cc', field=models.CharField(default=django.utils.timezone.now, max_length=100), preserve_default=False, ), ]

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475

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0.357143

0

null

0

1

0

null

0

1

0ce87ae6e8e21068ebe0de253baf4eb583ece22f

701

py

Python

conv.py

aenco9/HCAP2021

d194ba5eab7e361d67f6de3c62f9f17f896ebcf3

[ "MIT" ]

null

conv.py

aenco9/HCAP2021

d194ba5eab7e361d67f6de3c62f9f17f896ebcf3

[ "MIT" ]

null

conv.py

aenco9/HCAP2021

d194ba5eab7e361d67f6de3c62f9f17f896ebcf3

[ "MIT" ]

null

import numpy as np def convolucion(Ioriginal, kernel): '''Método encargado de realizar una convolución a una imagen Entrada: Ioriginal - imagen original en forma de matríz kernel - kernel para barrer la imagen Salida: res - imagen resultante''' #fr - filas, cr - columnas fr = len(Ioriginal)-(len(kernel)-1) cr = len(Ioriginal[0])-(len(kernel[0])-1) res = np.zeros((fr, cr)) #filas, matríz resultado for i in range(len(res)): #columnas, matríz resultado for j in range(len(res[0])): suma = 0 #filas, kernel for m in range(len(kernel)): #columnas, kernel for n in range(len(kernel[0])): suma += kernel[m][n] * Ioriginal[m+i][n+j] res[i][j] = suma return res

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0.077253

0.085837

0.055794

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0.194009

701

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0

null

0

null

0

1

0

1

0ce945d91f14b7115bc5eeecc89a0cbddf6f0ae2

2,925

py

Python

radical_translations/agents/tests/test_models.py

kingsdigitallab/radical_translations

c18ca1ccc0ab2d88ae472dc2eda58e2ff9dcc76a

[ "MIT" ]

3

2022-02-08T18:03:44.000Z

2022-03-18T18:10:43.000Z

radical_translations/agents/tests/test_models.py

kingsdigitallab/radical_translations

c18ca1ccc0ab2d88ae472dc2eda58e2ff9dcc76a

[ "MIT" ]

19

2020-05-11T15:36:35.000Z

2022-02-08T11:26:40.000Z

radical_translations/agents/tests/test_models.py

kingsdigitallab/radical_translations

c18ca1ccc0ab2d88ae472dc2eda58e2ff9dcc76a

[ "MIT" ]

null

from collections import defaultdict import pytest from radical_translations.agents.models import Organisation, Person pytestmark = pytest.mark.django_db @pytest.mark.usefixtures("vocabulary") class TestOrganisation: def test_agent_type(self, title): obj = Person(name="person name") obj.save() assert obj.agent_type == "person" obj = Organisation(name="organisation name") obj.save() assert obj.agent_type == "organisation" def test_from_gsx_entry(self): assert Organisation.from_gsx_entry(None) is None entry = defaultdict(defaultdict) entry["gsx$organisation"]["$t"] = "" assert Organisation.from_gsx_entry(entry) is None entry["gsx$organisation"]["$t"] = "Organisation 1" assert Organisation.from_gsx_entry(entry) is not None entry["gsx$type"]["$t"] = "Publisher" assert Organisation.from_gsx_entry(entry) is not None entry["gsx$location"]["$t"] = "0001: London [UK]" assert Organisation.from_gsx_entry(entry) is not None assert Organisation.objects.count() == 1 @pytest.mark.usefixtures("vocabulary") class TestPerson: def test_from_gsx_entry(self): assert Person.from_gsx_entry(None) is None entry = defaultdict(defaultdict) entry["gsx$name"]["$t"] = "" assert Person.from_gsx_entry(entry) is None entry["gsx$name"]["$t"] = "Person 1" assert Person.from_gsx_entry(entry) is not None entry["gsx$gender"]["$t"] = "f" p = Person.from_gsx_entry(entry) assert p is not None assert p.gender == "f" entry["gsx$birth"]["$t"] = "1790" p = Person.from_gsx_entry(entry) assert p is not None assert p.date_birth.date_display == "1790" entry["gsx$locationsresidence"]["$t"] = "0001: London [UK]; 0002: Paris [FR]" p = Person.from_gsx_entry(entry) assert p is not None assert "London" in p.based_near.first().address assert "Paris" in p.based_near.last().address entry["gsx$locationbirth"]["$t"] = "0001: London [UK]" p = Person.from_gsx_entry(entry) assert p is not None assert "London" in p.place_birth.address entry["gsx$locationdeath"]["$t"] = "0002: Paris [FR]" p = Person.from_gsx_entry(entry) assert p is not None assert "Paris" in p.place_death.address entry["gsx$occupations"]["$t"] = "tester" p = Person.from_gsx_entry(entry) assert p is not None assert "tester" in p.roles.first().label.lower() entry["gsx$organisations"]["$t"] = "Organisation 1" p = Person.from_gsx_entry(entry) assert p is not None entry["gsx$collaborators"]["$t"] = "Person 2; Person 3" p = Person.from_gsx_entry(entry) assert p is not None assert Person.objects.count() == 3

31.793478

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379

2,925

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0.195251

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0.121622

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91

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0.121212

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null

0

null

0

1

0

1

0ceb7ee6367f4094900b7a7ad37575ea6ba9548d

5,680

py

Python

minidump/streams/MiscInfoStream.py

lucasg/minidump

18474e3221038abe866256e4e0eb255e33615110

[ "MIT" ]

1

2021-06-13T10:00:44.000Z

minidump/streams/MiscInfoStream.py

lucasg/minidump

18474e3221038abe866256e4e0eb255e33615110

[ "MIT" ]

null

minidump/streams/MiscInfoStream.py

lucasg/minidump

18474e3221038abe866256e4e0eb255e33615110

[ "MIT" ]

null

#!/usr/bin/env python3 # # Author: # Tamas Jos (@skelsec) # import io import enum #https://msdn.microsoft.com/en-us/library/windows/desktop/ms680388(v=vs.85).aspx class MinidumpMiscInfo2Flags1(enum.IntFlag): MINIDUMP_MISC1_PROCESS_ID = 0x00000001 #ProcessId is used. MINIDUMP_MISC1_PROCESS_TIMES = 0x00000002 #ProcessCreateTime, ProcessKernelTime, and ProcessUserTime are used. MINIDUMP_MISC1_PROCESSOR_POWER_INFO = 0x00000004 #ProcessorMaxMhz, ProcessorCurrentMhz, ProcessorMhzLimit, ProcessorMaxIdleState, and ProcessorCurrentIdleState are used. # https://msdn.microsoft.com/en-us/library/windows/desktop/ms680389(v=vs.85).aspx class MinidumpMiscInfoFlags1(enum.IntFlag): MINIDUMP_MISC1_PROCESS_ID = 0x00000001 #ProcessId is used. MINIDUMP_MISC1_PROCESS_TIMES = 0x00000002 #ProcessCreateTime, ProcessKernelTime, and ProcessUserTime are used. # https://msdn.microsoft.com/en-us/library/windows/desktop/ms680389(v=vs.85).aspx class MINIDUMP_MISC_INFO: size = 24 def __init__(self): self.SizeOfInfo = None self.Flags1 = None self.ProcessId = None self.ProcessCreateTime = None self.ProcessUserTime = None self.ProcessKernelTime = None def parse(buff): mmi = MINIDUMP_MISC_INFO() mmi.SizeOfInfo = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.Flags1 = MinidumpMiscInfoFlags1(int.from_bytes(buff.read(4), byteorder = 'little', signed = False)) if mmi.Flags1 & MinidumpMiscInfoFlags1.MINIDUMP_MISC1_PROCESS_ID: mmi.ProcessId = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) else: buff.read(4) if mmi.Flags1 & MinidumpMiscInfoFlags1.MINIDUMP_MISC1_PROCESS_TIMES: mmi.ProcessCreateTime = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessUserTime = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessKernelTime = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) else: buff.read(12) return mmi #https://msdn.microsoft.com/en-us/library/windows/desktop/ms680388(v=vs.85).aspx class MINIDUMP_MISC_INFO_2: size = 44 def __init__(self): self.SizeOfInfo = None self.Flags1 = None self.ProcessId = None self.ProcessCreateTime = None self.ProcessUserTime = None self.ProcessKernelTime = None self.ProcessorMaxMhz = None self.ProcessorCurrentMhz = None self.ProcessorMhzLimit = None self.ProcessorMaxIdleState = None self.ProcessorCurrentIdleState = None def parse(buff): mmi = MINIDUMP_MISC_INFO_2() mmi.SizeOfInfo = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.Flags1 = MinidumpMiscInfo2Flags1(int.from_bytes(buff.read(4), byteorder = 'little', signed = False)) if mmi.Flags1 & MinidumpMiscInfo2Flags1.MINIDUMP_MISC1_PROCESS_ID: mmi.ProcessId = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) else: buff.read(4) if mmi.Flags1 & MinidumpMiscInfo2Flags1.MINIDUMP_MISC1_PROCESS_TIMES: mmi.ProcessCreateTime = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessUserTime = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessKernelTime = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) else: buff.read(12) if mmi.Flags1 & MinidumpMiscInfo2Flags1.MINIDUMP_MISC1_PROCESSOR_POWER_INFO: mmi.ProcessorMaxMhz = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessorCurrentMhz = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessorMhzLimit = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessorMaxIdleState = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) mmi.ProcessorCurrentIdleState = int.from_bytes(buff.read(4), byteorder = 'little', signed = False) else: buff.read(20) return mmi class MinidumpMiscInfo: def __init__(self): self.ProcessId = None self.ProcessCreateTime = None self.ProcessUserTime = None self.ProcessKernelTime = None self.ProcessorMaxMhz = None self.ProcessorCurrentMhz = None self.ProcessorMhzLimit = None self.ProcessorMaxIdleState = None self.ProcessorCurrentIdleState = None def parse(dir, buff): t = MinidumpMiscInfo() buff.seek(dir.Location.Rva) chunk = io.BytesIO(buff.read(dir.Location.DataSize)) if dir.Location.DataSize == MINIDUMP_MISC_INFO.size: misc = MINIDUMP_MISC_INFO.parse(chunk) t.ProcessId = misc.ProcessId t.ProcessCreateTime = misc.ProcessCreateTime t.ProcessUserTime = misc.ProcessUserTime t.ProcessKernelTime = misc.ProcessKernelTime else: misc = MINIDUMP_MISC_INFO_2.parse(chunk) t.ProcessId = misc.ProcessId t.ProcessCreateTime = misc.ProcessCreateTime t.ProcessUserTime = misc.ProcessUserTime t.ProcessKernelTime = misc.ProcessKernelTime t.ProcessorMaxMhz = misc.ProcessorMaxMhz t.ProcessorCurrentMhz = misc.ProcessorCurrentMhz t.ProcessorMhzLimit = misc.ProcessorMhzLimit t.ProcessorMaxIdleState = misc.ProcessorMaxIdleState t.ProcessorCurrentIdleState = misc.ProcessorCurrentIdleState return t def __str__(self): t = '== MinidumpMiscInfo ==\n' t += 'ProcessId %s\n' % self.ProcessId t += 'ProcessCreateTime %s\n' % self.ProcessCreateTime t += 'ProcessUserTime %s\n' % self.ProcessUserTime t += 'ProcessKernelTime %s\n' % self.ProcessKernelTime t += 'ProcessorMaxMhz %s\n' % self.ProcessorMaxMhz t += 'ProcessorCurrentMhz %s\n' % self.ProcessorCurrentMhz t += 'ProcessorMhzLimit %s\n' % self.ProcessorMhzLimit t += 'ProcessorMaxIdleState %s\n' % self.ProcessorMaxIdleState t += 'ProcessorCurrentIdleState %s\n' % self.ProcessorCurrentIdleState return t

42.074074

170

0.757394

673

5,680

6.270431

0.139673

0.043602

0.040521

0.064455

0.709005

0.697393

0.686256

0.664929

0.64455

0

0.028994

0.13169

5,680

135

171

42.074074

0.826642

0.116021

0

0.582609

0

0.065122

0.009189

0

0.009988

0

1

0.06087

false

0

0.017391

0

0.217391

0

null

0

1

0

null

0

1

0cec7a7b14ee446e6efc190805ad0c86fcf9567d

2,565

py

Python

test/python/transpiler/test_transpile.py

filemaster/qiskit-terra

8672c407a5a0e34405315f82d5ad5847916e857e

[ "Apache-2.0" ]

null

test/python/transpiler/test_transpile.py

filemaster/qiskit-terra

8672c407a5a0e34405315f82d5ad5847916e857e

[ "Apache-2.0" ]

null

test/python/transpiler/test_transpile.py

filemaster/qiskit-terra

8672c407a5a0e34405315f82d5ad5847916e857e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2018, IBM. # # This source code is licensed under the Apache License, Version 2.0 found in # the LICENSE.txt file in the root directory of this source tree. # pylint: disable=redefined-builtin """Tests basic functionality of the transpile function""" from qiskit import QuantumRegister, QuantumCircuit from qiskit import compile, BasicAer from qiskit.transpiler import PassManager, transpile_dag, transpile from qiskit.tools.compiler import circuits_to_qobj from qiskit.converters import circuit_to_dag from ..common import QiskitTestCase class TestTranspile(QiskitTestCase): """Test transpile function.""" def test_pass_manager_empty(self): """Test passing an empty PassManager() to the transpiler. It should perform no transformations on the circuit. """ qr = QuantumRegister(2) circuit = QuantumCircuit(qr) circuit.h(qr[0]) circuit.h(qr[0]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) dag_circuit = circuit_to_dag(circuit) resources_before = dag_circuit.count_ops() pass_manager = PassManager() dag_circuit = transpile_dag(dag_circuit, pass_manager=pass_manager) resources_after = dag_circuit.count_ops() self.assertDictEqual(resources_before, resources_after) def test_pass_manager_none(self): """Test passing the default (None) pass manager to the transpiler. It should perform the default qiskit flow: unroll, swap_mapper, cx_direction, cx_cancellation, optimize_1q_gates and should be equivalent to using tools.compile """ qr = QuantumRegister(2, 'qr') circuit = QuantumCircuit(qr) circuit.h(qr[0]) circuit.h(qr[0]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) coupling_map = [[1, 0]] basis_gates = 'u1,u2,u3,cx,id' backend = BasicAer.get_backend('qasm_simulator') circuit2 = transpile(circuit, backend, coupling_map=coupling_map, basis_gates=basis_gates, pass_manager=None) qobj = compile(circuit, backend=backend, coupling_map=coupling_map, basis_gates=basis_gates) qobj2 = circuits_to_qobj(circuit2, backend.name(), basis_gates=basis_gates, coupling_map=coupling_map, qobj_id=qobj.qobj_id) self.assertEqual(qobj, qobj2)

34.2

100

0.665107

332

2,565

4.975904

0.331325

0.021792

0.053269

0.058111

0.22276

0.186441

0.127119

0

0.019857

0.234308

2,565

74

101

34.662162

0.821283

0.245224

0

0.35

0

0.016129

0

0.05

1

0.05

false

0.15

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0.225

0

null

0

null

0

1

0

1

0cee3a5d83fc06ee8d80703cbf5bab61011eb8f9

7,039

py

Python

repiko/module/calculator.py

liggest/RepiKoBot

5a2aa511e747785ad341c60d809af2a2788963ab

[ "MIT" ]

1

2021-07-29T13:23:58.000Z

repiko/module/calculator.py

liggest/RepiKoBot

5a2aa511e747785ad341c60d809af2a2788963ab

[ "MIT" ]

null

repiko/module/calculator.py

liggest/RepiKoBot

5a2aa511e747785ad341c60d809af2a2788963ab

[ "MIT" ]

null

import random class Calculator(): symbol=["+","-","*","/","(",")"] def __init__(self): pass def cal(self,s): if self.isnumber(s[0]): return s elif s[0]=="error": return ["error",s[1]] elif "(" in s[0] or ")" in s[0]: #or "^" in s[0]: el=self.analyze(s) e=el[0] log=el[1] return self.cal([e,log]) else: e=s[0] log=s[1] if "-" in e: ex=e for x in range(len(e)): if e[x]=="-": if x==0: ex="–"+ex[1:] elif e[x-1] in self.symbol: ex=ex[:x]+"–"+ex[x+1:] e=ex if "*" in e or "/" in e: length=len(e) lastMark=-1 thisMark=0 nextMark=length mark="*" for x in range(length): if e[x]=="*" or e[x]=="/": thisMark=x mark=e[x] for y in range(thisMark+1,length): if e[y] in self.symbol: nextMark=y break for y in range(thisMark-1,-1,-1): if e[y] in self.symbol: lastMark=y break target_l=e[lastMark+1:thisMark].replace("–","-") target_r=e[thisMark+1:nextMark].replace("–","-") if not self.isnumber(target_l): target=self.cal([target_l,log]) target_l=target[0] log=target[1] if not self.isnumber(target_r): target=self.cal([target_r,log]) target_r=target[0] log=target[1] if target_r=="error" or target_l=="error": return ["error",log] if mark=="*": result_temp=str(float(target_l)*float(target_r)) elif mark=="/" and target_r!="0": result_temp=str(float(target_l)/float(target_r)) else: return ["error",log] e=e[:lastMark+1]+result_temp+e[nextMark:] log=log+e+"\n" break elif "+" in e or "-" in e: length=len(e) lastMark=-1 thisMark=0 nextMark=length mark="+" for x in range(length): if e[x]=="+" or e[x]=="-": thisMark=x mark=e[x] for y in range(thisMark+1,length): if e[y] in self.symbol: nextMark=y break for y in range(thisMark-1,-1,-1): if e[y] in self.symbol: lastMark=y break target_l=e[lastMark+1:thisMark].replace("–","-") target_r=e[thisMark+1:nextMark].replace("–","-") if not self.isnumber(target_l): target=self.cal([target_l,log]) target_l=target[0] log=target[1] if not self.isnumber(target_r): target=self.cal([target_r,log]) target_r=target[0] log=target[1] if target_r=="error" or target_l=="error": return ["error",log] if mark=="+": result_temp=str(float(target_l)+float(target_r)) elif mark=="-": result_temp=str(float(target_l)-float(target_r)) else: return ["error",log] e=e[:lastMark+1]+result_temp+e[nextMark:] log=log+e+"\n" break else: return ["error",log] return self.cal([e,log]) def analyze(self,s): e=s[0] log=s[1] while "(" in e or ")" in e: bracketL=0 bracketR=0 length=len(e) for x in range(length-1,-1,-1): if e[x]=="(": bracketL=x bracketR=e[x:].find(")")+x break rs=e[bracketL+1:bracketR] log=log+rs+"\n" result_temp=self.cal([rs,log]) if result_temp[0]=="error": return ["error",result_temp[1]] e=e[:bracketL]+result_temp[0]+e[bracketR+1:] log=result_temp[1]+e+"\n" return [e,log] def isnumber(self,s): try : float(s) return True except: return False def dice(self,s): e=s while "d" in e: length=len(e) dn=e.find("d") start=-1 end=length for x in range(dn+1,length): if not e[x].isdecimal(): end=x break for y in range(dn-1,-1,-1): if not e[y].isdecimal(): start=y break startn=e[start+1:dn] endn=e[dn+1:end] if startn=="": startn=1 else: startn=abs(int(startn)) if endn=="": endn=100 else: endn=abs(int(endn)) if endn!=0 and startn<=100 and startn!=0: result_temp="(" for z in range(startn): result_temp+=str(random.randint(1,endn)) if z!=startn-1: result_temp+="+" result_temp+=")" elif endn==0: return "-丢了个卵子" elif startn>100: return "-丢了一群卵子" elif startn==0: return "-丢不出卵子，只能丢人了" e=e[:start+1]+result_temp+e[end:] return e def dicetext(self,s,act): text=self.dice(s) if text[0:2]=="-丢": return text[1:] num=self.cal([text,text+"\n"]) if num[0]!="error": return "投掷 "+act+" :"+s+" = "+text+" = "+num[0] else: return "呜…投个骰子都卡住了……" #x=Calculator() #a=input() #r=x.cal([a,a+"\n"]) #print(r[1][:-1]) #if r[0]=="error": # print("error") #print(x.dicetext(a,""))

36.661458

76

0.356016

748

7,039

3.304813

0.118984

0.064725

0.024272

0.022249

0.542476

0.499191

0.492718

0.486246

0

0.025124

0.513709

7,039

191

77

36.853403

0.692667

0.018611

0

0.442623

0

0.025217

0

1

0.032787

false

0.005464

0

0.15847

0

null

0

1

0

null

0

1

0cf19d7af68dc81b523b12d529be9b1094af28ac

891

py

Python

setup.py

jjhelmus/break_my_python

4f8165fa3ae2bbe72b21f49156598387ee18b94a

[ "BSD-3-Clause" ]

null

setup.py

jjhelmus/break_my_python

4f8165fa3ae2bbe72b21f49156598387ee18b94a

[ "BSD-3-Clause" ]

null

setup.py

jjhelmus/break_my_python

4f8165fa3ae2bbe72b21f49156598387ee18b94a

[ "BSD-3-Clause" ]

null

from setuptools import setup with open('README.md') as f: long_description = f.read() setup( name='break_my_python', version='0.0.2', description='This package tries to breaks your python interpreter, do not install it', long_description=long_description, author='Jonathan J. Helmus', author_email='jjhelmus@gmail.com', url='http://pypi.python.org/pypi/break_my_python/', license='LICENSE.txt', py_modules=['break_my_python'], data_files=[('/', ['break_my_python.pth'])], classifiers=[ 'License :: OSI Approved :: BSD License', 'Programming Language :: Python', 'Operating System :: OS Independent', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', ] )

31.821429

90

0.655443

108

891

5.277778

0.583333

0.2

0.263158

0.136842

0

0.015278

0.191919

891

27

91

33

0.776389

0

0.571268

0

1

0

false

0

0.04

0

0.04

0

null

0

1

0

null

0

1

49078fb3338a8d88957f2187faa7b3d0420743af

990

py

Python

feladatok.py

python-feladatok-tesztekkel/-05-02-01-fuggvenyek-halado

0528125ec429584b21a41635517a3c55dfba559a

[ "CC0-1.0" ]

null

feladatok.py

python-feladatok-tesztekkel/-05-02-01-fuggvenyek-halado

0528125ec429584b21a41635517a3c55dfba559a

[ "CC0-1.0" ]

null

feladatok.py

python-feladatok-tesztekkel/-05-02-01-fuggvenyek-halado

0528125ec429584b21a41635517a3c55dfba559a

[ "CC0-1.0" ]

null

# feladat.py # 1. feladat # Írjon függvényt szokoev_e néven # A függvény térjen vissza igaz értékkel, ha a paraméterben megadott évszám szőköév def szokoev_e(ev:int) -> bool: # 2. feladat # A függvény bemenő paraméterei az a, b, c egész számok # Írjon kódot amely eredményeként az a változóba lesz a legnagyobb szám, a b változóba a második legnagyobb szám és a c változóba pedig a legkisebb szám. def csokkeno(a:int, b:int, c:int)->tuple: eredmeny=[a,b,c] return eredmeny # 3. feladat # Készítsen palindrom-e nevű függvényt amely egy stringről megállapítja, hogy palidrom-e # Tágabb értelembe a palindrom olyan szöveg vagy szókapcsolat, amely visszafelé olvasva is ugyanaz def palindrom_e(mondat:str)->bool: return True; # 4. feladat # Írjon függvényt amely meghatározza, hogy egy adott intervallumban hány négyzetszám van # Pl. [1-9] intervallum esetén 1, 2, 3 négyzetei esnek, tehát három négyzetszám van def negyzetszamok_szama(a:int, b:int)->int: return 0

28.285714

153

0.756566

152

990

4.901316

0.565789

0.008054

0.056376

0.021477

0

0.012195

0.171717

990

34

154

29.117647

0.896341

0.734343

0

null

0

null

0

null

0

null

0

1

0

1

0b3087eb0d5de6a063260501def92d99d71d6436

397

py

Python

setup.py

TechAtNYU/api-python

26cfa78208f30c41095484422cd1232aeddbfcb2

[ "MIT" ]

null

setup.py

TechAtNYU/api-python

26cfa78208f30c41095484422cd1232aeddbfcb2

[ "MIT" ]

null

setup.py

TechAtNYU/api-python

26cfa78208f30c41095484422cd1232aeddbfcb2

[ "MIT" ]

null

try: from setuptools import setup except ImportError: from distutils.core import setup setup( description='Tech@NYU API Python Client', author='TechatNYU', url='https://github.com/TechAtNYU/pytnyu', author_email='hello@techatnyu.org', version='0.0.4', install_requires=['requests'], namespace_packages=['pytnyu'], packages=['pytnyu'], name='pytnyu', )

23.352941

46

0.677582

46

397

5.782609

0.73913

0.082707

0

0.009174

0.176322

397

16

47

24.8125

0.804281

0

0.302267

0

1

0

true

0

0.2

0

0.2

0

null

0

null

0

1

0

1

0b373158f05135f2dafba65a6ba39cdf0ba87c6d

1,348

py

Python

Badger/scripts/besdirac-wms-decaycard-get.py

zhangxt-ihep/IHEPDIRAC

fb53500a998adc43ff0c65c02caf492da2965de5

[ "MIT" ]

null

Badger/scripts/besdirac-wms-decaycard-get.py

zhangxt-ihep/IHEPDIRAC

fb53500a998adc43ff0c65c02caf492da2965de5

[ "MIT" ]

1

2021-03-04T08:48:38.000Z

Badger/scripts/besdirac-wms-decaycard-get.py

zhangxt-ihep/IHEPDIRAC

fb53500a998adc43ff0c65c02caf492da2965de5

[ "MIT" ]

2

2020-08-26T06:36:51.000Z

2021-03-04T08:08:34.000Z

#!/usr/bin/env python import DIRAC from DIRAC import S_OK, S_ERROR from DIRAC.Core.Base import Script Script.setUsageMessage( """ Insert random trigger file into the File Catalog Usage: %s [option] lfn """ % Script.scriptName ) fcType = 'FileCatalog' Script.parseCommandLine( ignoreErrors = False ) options = Script.getUnprocessedSwitches() args = Script.getPositionalArgs() from DIRAC.Interfaces.API.Dirac import Dirac dirac = Dirac() from DIRAC.Resources.Catalog.FileCatalogClient import FileCatalogClient fccType = 'DataManagement/FileCatalog' fcc = FileCatalogClient(fccType) def getMeta(lfn, metaname): '''Get metadata''' result = fcc.getDirectoryMetadata(lfn) if not result['OK']: print result['Message'] return if result['Value'].has_key(metaname): return result['Value'][metaname] def main(): lfns = args for lfn in lfns: print '================================================================================' print 'Decay card for: %s' % lfn print '--------------------------------------------------------------------------------' # print getMeta(lfn, 'jobOptions') print getMeta(lfn, 'decayCard') print '--------------------------------------------------------------------------------' if __name__ == '__main__': main()

25.923077

96

0.557864

126

1,348

5.880952

0.515873

0.048583

0.037787

0

0.171365

1,348

51

97

26.431373

0.663384

0.04451

0

0.058824

0

0.322555

0.209779

0

null

0

0.147059

null

0.176471

0

null

0

null

0

1

0

1

0b4263d7f857ffd13d9244963a213a2d55a3ea6f

36,145

py

Python

fandango/objects.py

rhomspuron/fandango

51cc7659dfa7ea8c5890a993bbcc4c2049e45136

[ "CC-BY-3.0" ]

null

fandango/objects.py

rhomspuron/fandango

51cc7659dfa7ea8c5890a993bbcc4c2049e45136

[ "CC-BY-3.0" ]

null

fandango/objects.py

rhomspuron/fandango

51cc7659dfa7ea8c5890a993bbcc4c2049e45136

[ "CC-BY-3.0" ]

null

#!/usr/bin/env python2.5 ############################################################################# ## ## file : objects.py ## ## description : see below ## ## project : Tango Control System ## ## $Author: srubio@cells.es, tcoutinho@cells.es, homs@esrf.fr $ ## ## ## $Revision: 2008 $ ## ## copyleft : ALBA Synchrotron Controls Section, CELLS ## Bellaterra ## Spain ## ############################################################################# ## ## This file is part of Tango Control System ## ## Tango Control System is free software; you can redistribute it and/or ## modify it under the terms of the GNU General Public License as published ## by the Free Software Foundation; either version 3 of the License, or ## (at your option) any later version. ## ## Tango Control System is distributed in the hope that it will be useful, ## but WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ## GNU General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with this program; if not, see <http://www.gnu.org/licenses/>. ########################################################################### """ fandango.objects contains method for loading python modules and objects "on the run", as well as several advanced types used within fandango library Struct, Decorator and Cached are fundamental types for all fandango API's It includes 2 wonderful classes: Object (by Alejandro Homs) and Singleton (by Marc Santiago) Enum classes are borrowed from taurus.core.utils (by Tiago Coutinho) """ import __builtin__ from __builtin__ import object import traceback from fandango.functional import * from operator import isCallable, isSequenceType from collections import Hashable from types import MethodType import threading import functools #Python 2-3 conundrum try: import queue import queue as Queue except: import Queue import Queue as queue try: from collections import namedtuple #Only available since python 2.6 except: namedtuple = None ## Inspection methods def dirModule(module): return [a for a,v in module.__dict__.items() if getattr(v,'__module__','') == module.__name__] def findModule(module): from imp import find_module if '.' not in module: return find_module(module)[1] else: parent,child = module.rsplit('.', 1) #mparent = loadModule(parent) pparent = findModule(parent) pchild = find_module(child, [pparent])[1] return pchild def loadModule(module,modulename=None): #Loads a python module either from source file or from module import imp if modulename or '/' in module or '.py' in module: if not modulename: modulename = module.split('/')[-1].split('.py')[0] modulename = replaceCl('[-\.]', '_', modulename) return imp.load_source(modulename, module) elif '.' not in module: return imp.load_module(module, *imp.find_module(module)) else: parent,child = module.rsplit('.', 1) mparent = loadModule(parent) args = imp.find_module(child, mparent.__path__) mchild = imp.load_module(module, *args) return mchild def dirClasses(module,owned=False): v = [a for a,v in module.__dict__.items() if isinstance(v,type)] if owned: return [a for a in dirModule(module) if a in v] else: return v def copy(obj): """ This method will return a copy for a python primitive object. It will not work for class objects unless they implement the __init__(other) constructor """ if hasattr(obj,'copy'): o = obj.copy() else: try: o = type(obj)(other=obj) except: o = type(obj)(obj) return o ############################################################################## # Methods for pickling/dumping, passing objects to files/queues def obj2dict(obj,type_check=True,class_check=False,fltr=None): """ Converts a python object to a dictionary with all its members as python primitives This can be used in Queues or to convert to str using pickle.dumps :param fltr: a callable(name):bool method """ dct = {} try: for name in dir(obj): if fltr and not fltr(name): continue try: attr = getattr(obj,name) if hasattr(attr,'__call__'): continue if name == 'inited_class_list': continue if name.startswith('__'): continue if type_check: try: if type(attr).__name__ not in dir(__builtin__): if isinstance(attr,dict): attr = dict((k,v) for k,v in attr.items()) else: attr = str(attr) except: continue dct[name] = attr except Exception,e: print(e) if class_check: klass = obj.__class__ if '__class__' not in dct: dct['__class__'] = klass.__name__ if '__bases__' not in dct: dct['__bases__'] = [b.__name__ for b in klass.__bases__] if '__base__' not in dct: dct['__base__'] = klass.__base__.__name__ except Exception,e: print(e) return(dct) def pick(filename, keys = []): import pickle try: f = open(filename) v = pickle.load(f) if keys: try: for k in keys: v = v[k] except: traceback.print_exc() return v except: traceback.print_exc() finally: f.close() def dump(value, filename, as_dict = False): import pickle try: f = open(filename, 'w') if not as_dict: try: pickle.dump(value, f) except: as_dict = True if as_dict: pickle.dump(obj2dict(value), f) except: traceback.print_exc() finally: f.close() ## Useful class objects class Struct(object): """ Metamorphic type to pass/retrieve data objects as object or dictionary s = Struct(name='obj1',value=3.0) s.setCastMethod(lambda k,v: str2type) s.cast('3.0') : 3.0 s.keys() : ['name', 'value'] s.to_str() : "fandango.Struct({'name': obj1,'value': 3.0,})" s.dict() : {'name': 'obj1', 'value': 3.0} """ def __init__(self,*args,**kwargs): self.load(*args,**kwargs) def load(self,*args,**kwargs): dct = args[0] if len(args)==1 else (args or kwargs) if isSequence(dct) and not isDictionary(dct): dct = dict.fromkeys(dct) #isDictionary also matches items lists [setattr(self,k,v) for k,v in (dct.items() if hasattr(dct,'items') else dct)] #Overriding dictionary methods def update(self,*args,**kwargs): return self.load(*args,**kwargs) def keys(self): return self.__dict__.keys() def values(self): return self.__dict__.values() def items(self): return self.__dict__.items() def dict(self): return self.__dict__ def get(self,k,default=None): try: #Some keys may raise exception return getattr(self,k,default) except: return default def get_key(self,value): """ Reverse lookup """ for k,v in self.items(): if v == value: return k raise Exception('%s_NotFound!'%value) def set(self,k,v): return setattr(self,k,v) def setdefault(self,v): self.dict().setdefault(v) def pop(self,k): return self.__dict__.pop(k) def has_key(self,k): return self.__dict__.has_key(k) def __getitem__(self,k): return getattr(self,k) def __setitem__(self,k,v): return setattr(self,k,v) def __contains__(self,k): return hasattr(self,k) def __call__(self,*args,**kwargs): """getter with one string, setter if 2 are passed""" assert len(args) in (1,2) if len(args)==2: setattr(self,args[0],args[1]) elif len(args)==1 and isString(args[0]): return getattr(self,args[0]) else: self.load(*args,**kwargs) def __repr__(self): return 'fandango.Struct({\n'+'\n'.join("\t'%s': %s,"%(k,v) for k,v in self.__dict__.items())+'\n\t})' def __str__(self): return self.__repr__().replace('\n','').replace('\t','') def to_str(self,order=None,sep=','): """ This method provides a formatable string for sorting""" return self.__str__() if order is None else ( sep.join('%s'%self[k] for k in order)) def default_cast(self,key=None,value=None): """ This method checks if key is already defined. If it is, it will return value as an evaluable string. If it is not, then it will do same action on the passed value. """ if key not in self.keys() and not value: key,value = None,key #defaults to single argument mode value = notNone(value,key and self.get(key)) if not isString(value): return value else: return str2type(value) def cast(self,key=None,value=None,method=None): """ The cast() method is used to convert an struct to a pickable/json obj Use set_cast_method(f) to override this call. The cast method must accept both key and value keyword arguments. """ return (method or self.default_cast)(key,value) def cast_items(self,items=[],update=True): """ The cast() method is used to convert an struct to a pickable/json obj """ items = items or self.items() items = [(k,self.cast(value=v)) for k,v in self.items()] if update: [self.set(k,v) for k,v in items] return items def _fget(self,var): return getattr(self,var) def _fset(self,value,var): setattr(self,var,value) def _fdel(self,var): delattr(self,var) def make_property(var,fget=_fget,fset=_fset,fdel=_fdel): """ This Class is in Beta, not fully implemented yet""" return property(partial(fget,var=var),partial(fset,var=var), partial(fdel,var=var),doc='%s property'%var) class Variable(object): """ This class helps to declare module variables that can share the state when updated from parent modules. e.g. fandango.DEFAULT_TIME_FORMAT <=> functional.DEFAULT_TIME_FORMAT """ def __new__(cls, value): print(cls,value) __instance = object.__new__(cls, value) cls.__init__(__instance, value) return __instance.value def __init__(self, value = None): self._value = value @property def value(self): return self._value @value.setter def set_value(self, value): self._value = v #class NamedProperty(property): #""" #""" #def __init__(self,name,fget=None,fset=None,fdel=None): #self.name = name #mname = '%s%s'%(name[0].upper(),name[1:]) #lname = '%s%s'%(name[0].lower(),name[1:]) #property.__init__(fget,fset,fdel,doc='NamedProperty(%s)'%self._name) #def get_attribute_name(self): #return '_%s'self.name def NamedProperty(name,fget=None,fset=None,fdel=None):#,doc=None): """ This Class is in Beta, not fully implemented yet It makes easier to declare name independent property's (descriptors) by using template methods like: def fget(self,var): # var is the identifier of the variable return getattr(self,var) def fset(self,value,var): # var is the identifier of the variable setattr(self,var,value) def fdel(self,var): # var is the identifier of the variable delattr(self,var) MyObject.X = Property(fget,fset,fdel,'X') """ return property(partial(fget,var=name) if fget else None, partial(fset,var=name) if fset else None, partial(fdel,var=name) if fdel else None,doc=name) import threading __lock__ = threading.RLock() def locked(f,*args,**kwargs): """ decorator for secure-locked functions A key-argument _lock can be used to use a custom Lock object """ _lock = kwargs.pop('_lock',__lock__) try: _lock.acquire() return f(*args,**kwargs) except Exception,e: print 'Exception in%s(*%s,**%s): %s' % (f.__name__,args,kwargs,e) finally: _lock.release() def self_locked(func,reentrant=True): ''' Decorator to make thread-safe class members @deprecated @note see in tau.core.utils.containers Decorator to create thread-safe objects. reentrant: CRITICAL: With Lock() this decorator should not be used to decorate nested functions; it will cause Deadlock! With RLock this problem is avoided ... but you should rely more on python threading. ''' @functools.wraps(func) def lock_fun(self,*args,**kwargs): #self,args = args[0],args[1:] if not hasattr(self,'lock'): setattr(self,'lock',threading.RLock() if reentrant else threading.Lock()) if not hasattr(self,'trace'): setattr(self,'trace',False) self.lock.acquire() try: #if self.trace: print "locked: %s"%self.lock result = func(self,*args,**kwargs) finally: self.lock.release() #if self.trace: print "released: %s"%self.lock return result #lock_fun.__name__ = func.__name__ #lock_fun.__doc__ = func.__doc__ return lock_fun ############################################################################### def NewClass(classname,classparent=None,classdict=None): """ Creates a new class on demand: ReleaseNumber = NewClass('ReleaseNumber',tuple, {'__repr__':(lambda self:'.'.join(('%02d'%i for i in self)))}) """ if classparent and not isSequence(classparent): classparent = (classparent,) return type(classname,classparent or (object,),classdict or {}) class ReleaseNumber(object): """ ReleaseNumber = type('ReleaseNumber',(tuple,),{ '__repr__':(lambda self:'.'.join(('%02d'%i for i in self))) }) """ def __init__(self,*args): assert args if len(args)==1: if isinstance(args[0],basestring): args = args[0].split('.') elif isSequenceType(args[0]): args = args[0] else: args = [args] self._tuple = tuple(args) def __iter__(self): return self._tuple.__iter__() def __len__(self): return self._tuple.__len__() def __getitem__(self,i): return self._tuple.__getitem__(i) def __hash__(self): return self._tuple.__hash__() def __repr__(self): return '.'.join(map(str,self)) def major(self): try: m = int(self[0]) return m except: return '0' def minor(self): try: m = int(self[1]) return m except: return '0' def patch(self): try: m = int(self[2]) return m except: return self[2] if len(self)>2 else '0' def __cmp__(self,other): if not isinstance(other,ReleaseNumber): other = ReleaseNumber(other) if self._tuple == other._tuple: return 0 if int(self.major()) < other.major(): return -1 if int(self.major()) > other.major(): return 1 if int(self.minor()) < other.minor(): return -1 if int(self.minor()) > other.minor(): return 1 if self.patch() < other.patch(): return -1 if self.patch() > other.patch(): return 1 return 0 def __gt__(self,other): return self.__cmp__(other) > 0 def __ge__(self,other): return self.__cmp__(other) >= 0 def __lt__(self,other): return self.__cmp__(other) < 0 def __le__(self,other): return self.__cmp__(other) <= 0 def __eq__(self,other): return not self.__cmp__(other) def __ne__(self,other): return self.__cmp__(other) ############################################################################### class Object(object): """ This class solves some problems when an object inherits from multiple classes and some of them inherit from the same 'grandparent' class """ def __init__(self): """ default initializer @todo be more clever! """ pass #self.name = None ## @var name # Var does nothing # @todo be more clever! pass def call__init__(self, klass, *args, **kw): if 'inited_class_list' not in self.__dict__: self.inited_class_list = [] if klass not in self.inited_class_list: self.inited_class_list.append(klass) #print('#'*80) #print('%s(%s).call__init__(%s,%s)' % ( #type(self).__name__,klass.__name__,args,kw)) #print('#'*80) klass.__init__(self, *args, **kw) def call_all__init__(self, klass, *_args, **_kw): ''' Call __init__ recursively, for multiple dynamic inheritance. @author srubio@cells.es This method should be called only if all arguments are keywords!!! Multiple __init__ calls with unnamed arguments is hard to manage: All the _args values will be assigned to non-keyword args e.g: from objects import Object class A(Object): def __init__(self,a=2): print 'A.__init__',a class B(A): def __init__(self,b): print 'B.__init__',b class C(B,A): def __init__(self,c): print 'C.__init__',c class D(C,B): def __init__(self,d=1,*args,**kwargs): self.call_all__init__(D,*args,**kwargs) print 'D.__init__',d D(a=1,b=2,c=3,d=4) ''' #if _args: # raise Exception,'__init_all_Object_withUnnamedArgumentsException' from inspect import getargspec #print '%s.call_all__init__(%s,%s)' % (klass.__name__,_args,_kw) for base in klass.__bases__: if 'call__init__' in dir(base) and \ ('inited_class_list' not in self.__dict__ or base not in self.inited_class_list): #print '\t%s.base is %s' % (klass.__name__,base.__name__) nkw,i = {},0 try: args,largs,kargs,vals = getargspec(base.__init__) if kargs: nkw = dict(_kw) for arg in args: if arg == 'self': continue if arg in _kw: nkw[arg] = _kw[arg] elif i<len(_args): nkw[arg], i = _args[i], i+1 self.call_all__init__(base,*_args,**_kw) self.call__init__(base,**nkw) except Exception,e: print('Unable to execute %s.__init__!: %s' % (base.__name__,str(e))) return def getAttrDict(self): return obj2dict(self) def updateAttrDict(self, other): attr = other.getAttrDict() self.__dict__.update(attr) ############################################################################### class Singleton(object): """ This class allows Singleton objects overriding __new__ and renaming __init__ to init_single The __new__ method is overriden to force Singleton behaviour, the Singleton is created for the lowest subClass. @warning although __new__ is overriden __init__ is still being called for each instance=Singleton(), this is way we replace it by __dub_init """ ## Singleton object # the one, true Singleton, private members cannot be read directly __instance = None __dumb_init = (lambda self,*p,**k:None) def __new__(cls, *p, **k): if cls != type(cls.__instance): __instance = object.__new__(cls) #srubio: added init_single check to prevent redundant __init__ calls if hasattr(cls,'__init__') and cls.__init__ != cls.__dumb_init: setattr(cls,'init_single',cls.__init__) #Needed to avoid parent __init__ methods to be called setattr(cls,'__init__',cls.__dumb_init) if hasattr(cls,'init_single'): #If no __init__ or init_single has been defined it may trigger #an object.__init__ warning! cls.init_single(__instance,*p,**k) #Done at the end to prevent failed __init__ to create singletons cls.__instance = __instance return cls.__instance @classmethod def get_singleton(cls,*p,**k): return cls.__instance or cls(*p,**k) @classmethod def clear_singleton(cls): cls.__instance = None class SingletonMap(object): """ This class allows distinct Singleton objects for each args combination. The __new__ method is overriden to force Singleton behaviour, the Singleton is created for the lowest subClass. @warning although __new__ is overriden __init__ is still being called for each instance=Singleton(), this is way we replace it by __dub_init """ ## Singleton object # the one, true Singleton, private members cannot be read directly __instances = {} __dumb_init = (lambda self,*p,**k:None) def __new__(cls, *p, **k): key = cls.parse_instance_key(*p,**k) if cls != type(cls.__instances.get(key)): __instance = object.__new__(cls) __instance.__instance_key = key #srubio:added init_single check to prevent redundant __init__ calls if hasattr(cls,'__init__') and cls.__init__ != cls.__dumb_init: setattr(cls,'init_single',cls.__init__) #Needed to avoid parent __init__ methods to be called setattr(cls,'__init__',cls.__dumb_init) if hasattr(cls,'init_single'): #If no __init__ or init_single has been defined it may trigger #an object.__init__ warning! cls.init_single(__instance,*p,**k) cls.__instances[key] = __instance #print('#'*80+'\n'+'%s.__instances[%s] = %s' # %(str(cls),key,str(__instance)) return cls.__instances[key] @classmethod def get_singleton(cls,*p,**k): key = cls.parse_instance_key(*p,**k) return cls.__instances.get(key,cls(*p,**k)) @classmethod def get_singletons(cls): return cls.__instances @classmethod def clear_singleton(cls,*p,**k): cls.__instances.pop(cls.parse_instance_key(*p,**k)) @classmethod def clear_singletons(cls): cls.__instances.clear() @classmethod def parse_instance_key(cls,*p,**k): return '%s(*%s,**%s)' % (cls.__name__,list(p),list(sorted(k.items()))) def get_instance_key(self): return self.__instance_key ############################################################################### class nullDecorator(object): """ Empty decorator with null arguments, used to replace pyqtSignal,pyqtSlot """ def __init__(self,*args): pass def __call__(self,f): return f def decorator_with_args(decorator): ''' Decorator with Arguments must be used with parenthesis: @decorated() , even when arguments are not used!!! This method gets an d(f,args,kwargs) decorator and returns a new single-argument decorator that embeds the new call inside. But, this decorator disturbed stdout!!!! There are some issues when calling nested decorators; it is clearly better to use Decorator classes instead. ''' # decorator_with_args = lambda decorator: \ # lambda *args, **kwargs: lambda func: decorator(func, *args, **kwargs) return lambda *args, **kwargs: lambda func: decorator(func, *args, **kwargs) class Decorated(object): """ @TODO: This class should provide an API to get all decorators applied to a python object and its methods """ pass class Decorator(object): """ This generic class allows to differentiate decorators from common classes. """ __example__ = """ SEE THE Cached DECORATOR CLASS FOR A REAL EXAMPLE, THIS IS JUST AN ABSTRACT CLASS WITHOUT IMPLEMENTATION It uses the __get__ descriptor to allow decoration of Class methods Inherit from it and use issubclass(klass,Decorator) to know if a class is a decorator To add arguments to decorator reimplement __init__ To modify your wrapper reimplement __call__ A decorator __init__ with a single argument can be called like: @D def f(x): pass If you need a Decorator with arguments then __init__ will manage the arguments and __call__ will take the function and return a wrapper instead. @D(x,y) def f(z): pass """ @classmethod def new_wrapped_instance(cls, *args, **kwargs): """ obtain a better wrapped instance, experimental, doesnt work well on py2 """ func = args and args[0] or None i = object.__new__(type(cls.__name__+'_'+func.__name__,(cls,), {'__doc__': func.__doc__})) cls.__init__(i,*args,**kwargs) return i def __init__(self,func): self.func = func #self.call = wraps(self.func)(self.__call__) #Not for methods!! functools.update_wrapper(self,self.func) def __call__(self,*args,**kwargs): return self.func(*args,**kwargs) def __get__(self,obj,objtype=None): """ This bounding method will be called only when decorating an instance method """ return MethodType(self,obj,objtype) def get_func(self): return self.func class ClassDecorator(Decorator): """ This empty class is not trivial. It identifies the QObject decorators from fandango.qt module Although empty, it is critical for Vacca. Modify it with care """ pass class Cached(Decorator): """ This decorator will provide a function that caches up to N different executions of a method (for different combinations of arguments) for a given period. It is very similar to functools.lru_cache in py3 """ __example__ = """ e.g.: check_device_cached = Cached(check_device,depth=10,keep=3) It will keep cached for 3 seconds up to 10 different device check results. If "func" is not declared, then it can be used as a decorator_with_args @Cached(depth=10,keep=3) def check_device(*a,**k): ... return The catched argument will print and return exceptions instead of throwing """ def __init__(self,func=None,depth=10,expire=3.,log=False,catched=False): self.log = log self._im = None self.cache = {} self.depth = depth self.expire = expire self.catched = catched self.decorate(func) #self.__code__ = getattr(func,'__code__',None) self.__doc__ = '@Cached:'+str(getattr(func,'__doc__','') or '') self.lock = threading.Lock() def __call__(self,*args,**kwargs): """ This method will either decorate a method (with args) or execute it """ if self.func is None: # Deferred decorator self.decorate(args[0]) return self else: # Instantiated decorator return self.execute(*args,**kwargs) def _log(self,msg): if isCallable(self.log): self.log(msg) elif self.log: print(msg) @staticmethod def getCachedObject(obj,methods=[],depth=10.,expire=3.,catched=False): """ @RISKY This method will try to apply Cached decorator to all methods of an object. USE IT AT YOUR OWN RISK!! """ klass = obj if isinstance(obj,type) else type(obj) if not methods: methods = [k for k,f in klass.__dict__.items() if isCallable(f)] for k in methods: try: m = Cached(getattr(klass,k),depth,expire,catched=catched) setattr(obj,k,m) except:pass return obj def decorate(self,func): if isCallable(func): #self._log('decorate(%s)'%str(func)) self.func = func #self.call = wraps(self.func)(self.__call__) #Not for methods!! functools.update_wrapper(self,self.func) else: self.func = None def prune(self,expire=None,depth=None): try: self.lock.acquire() depth = notNone(depth,self.depth) expire = time.time()-notNone(expire,self.expire) cache = sorted(k for k in self.cache.keys() if k[0]>expire) if (len(cache)!=len(self.cache) or len(cache)>self.depth): #self._log('pruning: %s => %s'%(len(self.cache),len(cache))) pass self.cache = dict((k,self.cache[k]) for k in cache[-self.depth:]) return sorted(self.cache.keys()) finally: self.lock.release() def clear(self): self.cache.clear() def execute(self,*args,**kwargs): #self._log('__call__(%s,%s)'%(args,kwargs)) v,match,expire = None,None,self.expire try: key = time.time(),tuple(args),tuple(kwargs.items()) #assert all(isinstance(k,Hashable) for l in key[1:] for k in l) assert isHashable(key) except: self._log('unhashable arguments!') expire = 0 if not self.depth or not expire: self._log('disabling cache ...') if not self.depth: self.cache = {} return self.func(*args,**kwargs) else: cache = self.prune(expire) match = first((k for k in cache if (k[1:]) == (key[1:])),None) if match: v = self.cache[match] #self._log('(%s,%s) was in cache: %s'%(args,kwargs,v)) else: try: v = self.func(*args,**kwargs) except Exception,e: v = e #self._log('%s(%s,%s) = %s'%(self.func,args,kwargs,v)) try: self.cache[key] = v except: print('%s(%s,%s) = %s'%(self.func,args,kwargs,v)) print('cache[%s] = %s'%(key,v)) raise if isinstance(v,Exception): if self.catched: if not match: self._log(traceback.format_exc()) return v else: self._log(str(self.func)) self._log(traceback.format_exc()) raise v else: return v ########################################################################### ## @DEPRECATED! class BoundDecorator(Decorator): """ DEPRECATED , To be removed in Fandango 13; replaced by the use of __get__ descriptor Inspired in https://wiki.python.org/moin/PythonDecoratorLibrary #Class_method_decorator_using_instance Class method decorator specific to the instance. It uses a descriptor to delay the definition of the method wrapper. To use it, just inherit from it and rewrite the wrapper method Example: from fandango.objects import BoundDecorator BoundDecorator().tracer = 1 class X(object): def __init__(self,name): self.name = name def f(self,*args): return (self.name,args) class D(BoundDecorator): @staticmethod def wrapper(instance,f,*args,**kwargs): print('guess what?') v = f(instance,*args,**kwargs) return v[0] x = X('a') X.f = D()(X.f) x.f() """ def __init__(self,*args,**kwargs): print('BoundDecorator is DEPRECATED!!!, Use Decorator.__get__ instead') Decorator.__init__(self,*args,**kwargs) @staticmethod def wrapper(instance,f,*args,**kwargs): return f(instance, *args, **kwargs) class _Tracer(object): def __init__(self): self._trace = False def __get__(self,obj,type=None):return self def __set__(self,obj,value):self._trace = value def __nonzero__(self): return self._trace def __call__(self,msg): if self: print(msg) #NOTE: Giving a value to Tracer only works with instances; not from class tracer = _Tracer() def __call__(this,f=None): class _Descriptor(BoundDecorator): # Inherits to get the wrapper from the BoundDecorator class # and be able to exist "onDemand" def __init__(self, f): self.func = f def __get__(self, instance, klass): BoundDecorator.tracer('__get__(%s,%s)'%(instance,klass)) if instance is None: # Class method was requested return self.make_unbound(klass) return self.make_bound(instance) def make_unbound(self, klass): BoundDecorator.tracer('make_unbound(%s)'%klass) @functools.wraps(self.func) def wrapper(*args, **kwargs): '''This documentation will disapear :) This method may work well only without arguments ''' BoundDecorator.tracer( "Called the unbound method %s of %s" %(self.func.__name__, klass.__name__)) return partial(this.wrapper,f=f)(*args,**kwargs) return wrapper def make_bound(self, instance): BoundDecorator.tracer('make_bound(%s)'%instance) @functools.wraps(self.func) def wrapper(*args, **kwargs): '''This documentation will disapear :)''' BoundDecorator.tracer( "Called the decorated method %s of %s" %(self.func.__name__, instance)) #return self.func(instance, *args, **kwargs) return this.wrapper(instance,f,*args,**kwargs) #wrapper = self.wrapper #wraps(self.func)(self.wrapper) # This instance does not need the descriptor anymore, # let it find the wrapper directly next time: setattr(instance, self.func.__name__, wrapper) return wrapper return _Descriptor(f) from . import doc __doc__ = doc.get_fn_autodoc(__name__,vars())

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core/migrations/0044_auto_20190510_0921.py

raheemazeezabiodun/art-backend

0bc47f3cf6f403101082f201c7fd1ca8108d5731

[ "MIT" ]

4

2018-03-12T23:49:01.000Z

2020-07-06T17:37:29.000Z

core/migrations/0044_auto_20190510_0921.py

raheemazeezabiodun/art-backend

0bc47f3cf6f403101082f201c7fd1ca8108d5731

[ "MIT" ]

259

2018-02-06T07:53:07.000Z

2020-06-05T19:18:32.000Z

core/migrations/0044_auto_20190510_0921.py

raheemazeezabiodun/art-backend

0bc47f3cf6f403101082f201c7fd1ca8108d5731

[ "MIT" ]

22

2018-01-25T14:02:05.000Z

2020-06-24T20:37:01.000Z

# Generated by Django 2.1.7 on 2019-05-10 09:21 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0043_auto_20190424_1029'), ] operations = [ migrations.RemoveField( model_name='statetransition', name='state', ), migrations.AddField( model_name='statetransition', name='asset_state_from_report', field=models.CharField(choices=[('requires repair', 'requires repair'), ('requires external assessment', 'requires external assessment'), ('Damaged', 'Damaged')], default='requires repair', max_length=50), ), migrations.AddField( model_name='statetransition', name='incident_report_state', field=models.CharField(choices=[('newly reported', 'newly reported'), ('internal assessment', 'internal assessment'), ('external assessment', 'external assessment'), ('out for repair', 'out for repair')], default='newly reported', max_length=50), ), ]

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py

Python

apis/python_interface_helpers/stk_env.py

davetrollope-fsml/sequence_toolkit

49495f679aad1d7c134cf8a189cca1e8acc9f4bd

[ "MIT" ]

null

apis/python_interface_helpers/stk_env.py

davetrollope-fsml/sequence_toolkit

49495f679aad1d7c134cf8a189cca1e8acc9f4bd

[ "MIT" ]

null

apis/python_interface_helpers/stk_env.py

davetrollope-fsml/sequence_toolkit

49495f679aad1d7c134cf8a189cca1e8acc9f4bd

[ "MIT" ]

null

from stk_sequence import * from stk_tcp_server import * from stk_tcp_client import * from stk_data_flow import * from stk_options import stk_clear_cb import time class stk_callback: def __init__(self): self._caller = None self._mapobj = None pass def add_callback_ref(self,caller): self._caller = caller def del_callback_ref(self,caller): if self._caller: self._caller.delCallback() def add_callback_map_obj(self,mapobj): self._mapobj = mapobj def map_obj(self): return self._mapobj def close(self): if self._caller: self.del_callback_ref(self._caller) self._caller = None def caller(self): return self._caller def fd_created(self,df,fd): pass def fd_destroyed(self,df,fd): pass class stk_dispatcher_cb(stk_dispatch_cb_class): def __init__(self,env,cbcls): self.dispatchclass = stk_dispatch_cb_class.__init__(self) self._cbcls = cbcls self._env = env def close(self): #del self.dispatchclass #self.dispatchclass = None #del self.__class__.obj_map[stk_get_service_group_id(self._svcgrp)] pass def finddf(self,dfptr): dfref = stk_ulong_df_to_df_ptr(dfptr) df = stk_data_flow.find(dfptr) if df == None: dftype = stk_data_flow.type(dfptr) if dftype == STK_TCP_ACCEPTED_FLOW or dftype == STK_TCP_SERVER_FLOW: df = stk_tcp_server(self._env,None,None,None,dfref) if dftype == STK_TCP_CLIENT_FLOW: df = stk_tcp_client(self._env,None,None,None,dfref) return df def process_data(self,dfptr,seqptr): seqref = stk_ulong_seq_to_seq_ptr(seqptr) seq = stk_sequence.find(seqptr) if seq == None: seq = stk_sequence(self._env,None,None,0,0,None,seqref) # the dfptr here is actually the C pointer converted to a ulong df = self.finddf(dfptr) self._cbcls.process_data(df,seq) seq.unmap() def process_name_response(self,dfptr,seqptr): seqref = stk_ulong_seq_to_seq_ptr(seqptr) seq = stk_sequence.find(seqptr) if seq == None: seq = stk_sequence(self._env,None,None,0,0,None,seqref) # the dfptr here is actually the C pointer converted to a ulong df = self.finddf(dfptr) self._cbcls.process_name_response(df,seq) seq.unmap() pass def process_monitoring_response(self,dfptr,seqptr): pass def fd_created(self,dfptr,fd): # the dfptr here is actually the C pointer converted to a ulong dfref = stk_ulong_df_to_df_ptr(dfptr) df = stk_data_flow.find(dfptr) if df == None: # This sucks.... dftype = stk_data_flow.type(dfptr) if dftype == STK_TCP_ACCEPTED_FLOW or dftype == STK_TCP_SERVER_FLOW: df = stk_tcp_server(self._env,None,None,None,dfref) # Err, UDP doesn't actually have connections so this really # isn't likely to be needed - why would the app care about udp creations? #elif dftype == STK_UDP_CLIENT_FLOW: #df = stk_udp_client(self._env,None,None,None,dfref) if df: self._cbcls.fd_created(df,fd) def fd_destroyed(self,dfptr,fd): # the dfptr here is actually the C pointer converted to a ulong dfref = stk_ulong_df_to_df_ptr(dfptr) df = stk_data_flow.find(dfptr) if df == None: dftype = stk_data_flow.type(dfptr) if dftype == STK_TCP_ACCEPTED_FLOW or dftype == STK_TCP_SERVER_FLOW: df = stk_tcp_server(self._env,None,None,None,dfref) if df: self._cbcls.fd_destroyed(df,fd) class stk_env: def __init__(self,envopts): self.caller = stk_dispatch_cb_caller() envopts.append_dispatcher(self.caller.get_dispatcher()) self._opts = envopts self._env = stk_create_env(envopts.ref()) self._dispatcher_stopped = False; def close(self): if self._env: if self._opts: stk_clear_cb(self._opts.ref(),"dispatcher") if self.caller: self.caller.detach_env(self._env) stk_destroy_env(self._env) if self.caller: self.caller.close() self.caller = None self._env = None def ref(self): return self._env def get_name_service(self): return stk_env_get_name_service(self.ref()) def dispatch_timer_pools(self,interval): stk_env_dispatch_timer_pools(self._env,interval) def listening_dispatcher(self,df,svcgrp,appcb): appcb.add_callback_ref(self.caller) self._dispatcher_stopped = False if self.caller.env_listening_dispatcher_add_fd(df.ref()) < 0: return while self._dispatcher_stopped == False: self.caller.env_listening_dispatcher(df.ref(),stk_dispatcher_cb(self,appcb).__disown__(),200) self.caller.env_listening_dispatcher_del_fd(df.ref()) def client_dispatcher_timed(self,appcb,timeout): if appcb: appcb.add_callback_ref(self.caller) self.caller.env_client_dispatcher_timed(self._env,timeout,stk_dispatcher_cb(self,appcb).__disown__()) else: self.caller.env_client_dispatcher_timed(self._env,timeout,None) def stop_dispatcher(self): self._dispatcher_stopped = True; self.caller.env_stop_dispatching(self._env) time.sleep(.2) def terminate_dispatcher(self): self.caller.env_terminate_dispatcher(self._env) @classmethod def append_name_server_dispatcher_cbs(cls,envopts,data_flow_group): nsopts = envopts.find_option("name_server_options") nsopts.update_ref(stk_append_name_server_fd_cbs(data_flow_group,nsopts.ref())) @classmethod def remove_name_server_dispatcher_cbs(cls,envopts,data_flow_group): dfopts = envopts.find_option(data_flow_group + "_options") if dfopts != None: dfopts.remove_dispatcher_fd_cbs() else: envopts.remove_dispatcher_fd_cbs() @classmethod def append_monitoring_dispatcher_cbs(cls,envopts,data_flow_group): envopts.update_ref(stk_append_monitoring_fd_cbs(data_flow_group,envopts.ref())) @classmethod def remove_monitoring_dispatcher_cbs(cls,envopts,data_flow_group): dfopts = envopts.find_option(data_flow_group + "_options") if dfopts != None: dfopts.remove_dispatcher_fd_cbs() @classmethod def log(cls,level,message): stk_log(level,message) @classmethod def debug(cls,component,message): stk_debug(component,message)

34.276471

104

0.763686

913

5,827

4.529025

0.144578

0.062878

0.027086

0.025393

0.50399

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0.407013

0.390085

0.359129

0.32237

0

0.001781

0.13283

5,827

169

105

34.47929

0.816545

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false

0.039216

0.026144

0.30719

0

null

0

null

0

1

0

1

0b47c0ccbeb35e2ac408d98bd973b27910abd4c8

1,163

py

Python

readfile.py

y-azvd/perceptron

3cd4cefc7ae54bd8a3df702300ee9797389fef4a

[ "MIT" ]

null

readfile.py

y-azvd/perceptron

3cd4cefc7ae54bd8a3df702300ee9797389fef4a

[ "MIT" ]

null

readfile.py

y-azvd/perceptron

3cd4cefc7ae54bd8a3df702300ee9797389fef4a

[ "MIT" ]

null

import numpy as np ## ## @brief function_description ## ## @param filename The filename ## ## @return description_of_the_return_value ## def readfile(filename): csvfile = open(filename, "r") if not csvfile: print "error" return -1 rows = [] for row in csvfile: if row[0] != '#' : # linhas que comecam com # sao comentarios row = row.strip() # removes white space around non white space cols = row.split(',') # splits by any white space cols = [(col.strip()) for col in cols if (col != '' or col != '\t')] rows.append(cols) csvfile.close() return rows ## ## @brief Reads for perceptron. ## ## @param filename The filename ## @param dataType The data type ## ## @return description_of_the_return_value ## def readForPerceptron(filename, dataType): content = readfile(filename) features = np.asarray(content, dtype=dataType) # classifications for each feature entry/vector/array # np.asarray modifies array on place. featuresClassifications = np.array(features[:, -1]) # changes the classification for the bias entry to 1 features[:, -1] = 1 return features, featuresClassifications

23.26

71

0.674119

147

1,163

5.272109

0.503401

0.03871

0.04129

0.061935

0.092903

0

0.006501

0.206363

1,163

50

72

23.26

0.833153

0.436801

0

0.016181

0

null

0

0.047619

null

0.047619

0

null

0

null

0

1

0

1

0b5048a8c70006e924308165169ee5c4fabe48fa

934

py

Python

asar_pi_applications/asar_vision/robot_distance_incorrect.py

ssnover/msd-p18542

32bef466f9d5ba55429da2119a14081b3e411d0b

[ "MIT" ]

3

2021-01-07T07:46:50.000Z

2021-11-17T10:48:39.000Z

asar_pi_applications/asar_vision/robot_distance_incorrect.py

ssnover/msd-p18542

32bef466f9d5ba55429da2119a14081b3e411d0b

[ "MIT" ]

3

2018-02-19T20:30:30.000Z

2018-04-20T23:25:29.000Z

asar_pi_applications/asar_vision/robot_distance_incorrect.py

ssnover95/msd-p18542

32bef466f9d5ba55429da2119a14081b3e411d0b

[ "MIT" ]

1

2021-01-07T07:46:52.000Z

import numpy as np from math import sqrt def robot_distance_incorrect(robot_actual_location, hexagon_pixel_values): distance_to_get_back = [] distances = [] pixel_distance = [] for i in range(0, len(hexagon_pixel_values)): dist = sqrt((robot_actual_location[0] - hexagon_pixel_values[i][0]) ** 2 + (robot_actual_location[1] - hexagon_pixel_values[i][1]) ** 2) distances += [dist] index_min = np.argmin(distances) correct_position = hexagon_pixel_values[index_min] # find the distance that needs to be traveled to get to the correct location pixel_distance = (correct_position[0] - robot_actual_location[0], correct_position[1]-robot_actual_location[1]) # print(correct_position, robot_actual_location, pixel_distance) # convert to actual distance distance_to_get_back = (pixel_distance[0]/1.79, pixel_distance[1]/1.749) return distance_to_get_back

44.47619

115

0.723769

131

934

4.824427

0.343511

0.10443

0.18038

0.080696

0

0.026144

0.180942

934

20

116

46.7

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0

1

0.066667

false

0

0.133333

0

0.266667

0

null

0

1

0

null

0

1

0b5a82c329031fc6f172ed423012d36ab20bca44

10,817

py

Python

testscripts/RDKB/component/WEBCONFIG/TS_WEBCONFIG_DisableRFC_QuerySyncParams.py

rdkcmf/rdkb-tools-tdkb

9f9c3600cd701d5fc90ac86a6394ebd28d49267e

[ "Apache-2.0" ]

null

testscripts/RDKB/component/WEBCONFIG/TS_WEBCONFIG_DisableRFC_QuerySyncParams.py

rdkcmf/rdkb-tools-tdkb

9f9c3600cd701d5fc90ac86a6394ebd28d49267e

[ "Apache-2.0" ]

null

testscripts/RDKB/component/WEBCONFIG/TS_WEBCONFIG_DisableRFC_QuerySyncParams.py

rdkcmf/rdkb-tools-tdkb

9f9c3600cd701d5fc90ac86a6394ebd28d49267e

[ "Apache-2.0" ]

null

########################################################################## # If not stated otherwise in this file or this component's Licenses.txt # file the following copyright and licenses apply: # # Copyright 2021 RDK Management # # 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. ########################################################################## ''' <?xml version="1.0" encoding="UTF-8"?><xml> <id/> <version>1</version> <name>TS_WEBCONFIG_DisableRFC_QuerySyncParams</name> <primitive_test_id/> <primitive_test_name>Webconfig_DoNothing</primitive_test_name> <primitive_test_version>1</primitive_test_version> <status>FREE</status> <synopsis>To disable the Webconfig RFC and check if a get operation on Force Sync parameters logs DB failure in WebConfig.log file</synopsis> <groups_id/> <execution_time>10</execution_time> <long_duration>false</long_duration> <advanced_script>false</advanced_script> <remarks/> <skip>false</skip> <box_types> <box_type>Broadband</box_type> </box_types> <rdk_versions> <rdk_version>RDKB</rdk_version> </rdk_versions> <test_cases> <test_case_id>TC_WEBCONFIG_02</test_case_id> <test_objective>This test is case is to disable the RFC and check if a get operation on Force Sync parameters logs DB failure in WebConfig.log file</test_objective> <test_type>Positive</test_type> <test_setup>Broadband</test_setup> <pre_requisite>1.Ccsp Components in DUT should be in a running state that includes component under test Cable Modem 2.TDK Agent should be in running state or invoke it through StartTdk.sh script 3.Webconfig distro should be enabled else enable with custom image</pre_requisite> <api_or_interface_used>pam_GetParameterValues pam_SetParameterValues</api_or_interface_used> <input_parameters>Device.X_RDK_WebConfig.RfcEnable Device.X_RDK_WebConfig.ConfigFile.1.ForceSyncCheck Device.X_RDK_WebConfig.ConfigFile.1.SyncCheckOK"</input_parameters> <automation_approch>1.Load the module 2.Get the current webconfig RFC enable status and disable the RFC 3.Do a get operation on Force Sync check and Force Sync Check Ok parameters 4.Check if DB failed message specific to the parameter is logged in WebConfig.log File 5.Revert the RFC status to previous 6.Unload the module</automation_approch> <expected_output>When webconfig RFC is disabled and get operation done on Force Sync parameters should log Db failed message specific to the parameter in webConfig.log file</expected_output> <priority>High</priority> <test_stub_interface>WEBCONFIG</test_stub_interface> <test_script>TS_WEBCONFIG_DisableRFC_QuerySyncParams</test_script> <skipped>No</skipped> <release_version>M86</release_version> <remarks>None</remarks> </test_cases> </xml> ''' # use tdklib library,which provides a wrapper for tdk testcase script import tdklib; from tdkbVariables import *; import tdkutility from tdkutility import * from time import sleep; #Test component to be tested sysobj = tdklib.TDKScriptingLibrary("sysutil","1"); pamobj = tdklib.TDKScriptingLibrary("pam","1"); #IP and Port of box, No need to change, #This will be replaced with correspoing Box Ip and port while executing script ip = <ipaddress> port = <port> pamobj.configureTestCase(ip,port,'TS_WEBCONFIG_DisableRFC_QuerySyncParams'); sysobj.configureTestCase(ip,port,'TS_WEBCONFIG_DisableRFC_QuerySyncParams'); #Get the result of connection with test component and DUT pamloadmodulestatus =pamobj.getLoadModuleResult(); sysloadmodulestatus =sysobj.getLoadModuleResult(); print "[LIB LOAD STATUS] : %s" %pamloadmodulestatus ; print "[LIB LOAD STATUS] : %s" %sysloadmodulestatus ; revert = 0; if "SUCCESS" in pamloadmodulestatus.upper() and "SUCCESS" in sysloadmodulestatus.upper(): #Set the result status of execution pamobj.setLoadModuleStatus("SUCCESS"); sysobj.setLoadModuleStatus("SUCCESS"); tdkTestObj = pamobj.createTestStep('pam_GetParameterValues'); tdkTestObj.addParameter("ParamName","Device.X_RDK_WebConfig.RfcEnable"); expectedresult="SUCCESS"; #Execute the test case in DUT tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); initial_value = tdkTestObj.getResultDetails().strip(); if expectedresult in actualresult: #Set the result status of execution tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 1: Get current value of Web Config Enable" print "EXPECTED RESULT 1: Should get current value of Web Config Enable" print "ACTUAL RESULT 1: current value is %s" %initial_value; #Get the result of execution print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = pamobj.createTestStep('pam_SetParameterValues'); tdkTestObj.addParameter("ParamName","Device.X_RDK_WebConfig.RfcEnable"); tdkTestObj.addParameter("ParamValue","false"); tdkTestObj.addParameter("Type","boolean"); expectedresult="SUCCESS"; #Execute testcase on DUT tdkTestObj.executeTestCase(expectedresult); actualresult = tdkTestObj.getResult(); result = tdkTestObj.getResultDetails(); if expectedresult in actualresult: revert =1; #Set the result status of execution tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 2: Set Web Config Enable status to false"; print "EXPECTED RESULT 2: Should set Web Config Enable status to false"; print "ACTUAL RESULT 2: %s" %result; #Get the result of execution print "[TEST EXECUTION RESULT] : SUCCESS"; paramlist = ["Device.X_RDK_WebConfig.ConfigFile.1.ForceSyncCheck","Device.X_RDK_WebConfig.ConfigFile.1.SyncCheckOK"]; logMsgs = ["ForceSyncCheck GET from DB failed","SyncCheckOK GET from DB failed"]; i=0; for item in paramlist: tdkTestObj = pamobj.createTestStep('pam_GetParameterValues'); tdkTestObj.addParameter("ParamName",item); expectedresult="SUCCESS"; #Execute the test case in DUT tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails().strip(); if expectedresult in actualresult: print "Querying %s parameter is sucessfull" %item; print "Check if DB failed message is seen on querying this specific parameter"; sleep(5); tdkTestObj = sysobj.createTestStep('ExecuteCmd'); expectedresult="SUCCESS"; cmd= "cat /rdklogs/logs/WebConfig.log | grep -rn \"%s\" " %logMsgs[i]; print cmd; expectedresult="SUCCESS"; tdkTestObj.addParameter("command", cmd); tdkTestObj.executeTestCase(expectedresult); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails().strip().replace("\\n", ""); i= i+1; if expectedresult in actualresult and details: tdkTestObj.setResultStatus("SUCCESS"); print"%s" %details; print"The expected log message is present when Queried"; print "[TEST EXECUTION RESULT] : SUCCESS"; else: tdkTestObj.setResultStatus("FAILURE"); print "The expected log message is not present: %s" %logMsgs[i]; print "[TEST EXECUTION RESULT] : FAILURE"; break; else: revert =0; #Set the result status of execution tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 2: Set Web Config Enable status to false"; print "EXPECTED RESULT 2: Should set Web Config Enable status to false"; print "ACTUAL RESULT 2: %s" %result; #Get the result of execution print "[TEST EXECUTION RESULT] : FAILURE"; if revert ==1 : tdkTestObj = pamobj.createTestStep('pam_SetParameterValues'); tdkTestObj.addParameter("ParamName","Device.X_RDK_WebConfig.RfcEnable"); tdkTestObj.addParameter("ParamValue",initial_value); tdkTestObj.addParameter("Type","boolean"); expectedresult="SUCCESS"; #Execute testcase on DUT tdkTestObj.executeTestCase(expectedresult); actualresult = tdkTestObj.getResult(); result = tdkTestObj.getResultDetails(); if expectedresult in actualresult: #Set the result status of execution tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 3: Revert the Web Config Enable status to previous" print "EXPECTED RESULT 3: Should revert Web Config status to previous" print "ACTUAL RESULT 3: %s" %result; #Get the result of execution print "[TEST EXECUTION RESULT] : SUCCESS" else: #Set the result status of execution tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 3: Revert Web Config Enable status to previous" print "EXPECTED RESULT 3: Should revert Web Config Enable status to previous" print "ACTUAL RESULT 3: %s" %result; #Get the result of execution print "[TEST EXECUTION RESULT] : FAILURE" else: #Set the result status of execution tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 1: Get current value of Web Config Enable" print "EXPECTED RESULT 1: Should get current value of Web Config Enable" print "ACTUAL RESULT 1: current value is %s" %initial_value; #Get the result of execution print "[TEST EXECUTION RESULT] : FAILURE"; pamobj.unloadModule("pam"); sysobj.unloadModule("sysutil"); else: print "Failed to load pam/sysutil module"; pamobj.setLoadModuleStatus("FAILURE"); sysobj.setLoadModuleStatus("FAILURE"); print "Module loading failed";

49.168182

194

0.665249

1,223

10,817

5.802126

0.224039

0.017756

0.023253

0.021421

0.517193

0.497322

0.477029

0.441375

0.412627

0

0.007152

0.237312

10,817

219

195

49.392694

0.85297

0.132569

0

0.545455

0

0.321994

0.057092

0

null

0

0.041322

null

0.297521

0

null

0

null

0

1

0

1

0b61d6924578e04d8bbfa01176c73eece0bd32ef

2,484

py

Python

nova/tests/test_hooks.py

bopopescu/zknova

8dd09199f5678697be228ffceeaf2c16f6d7319d

[ "Apache-2.0" ]

null

nova/tests/test_hooks.py

bopopescu/zknova

8dd09199f5678697be228ffceeaf2c16f6d7319d

[ "Apache-2.0" ]

null

nova/tests/test_hooks.py

bopopescu/zknova

8dd09199f5678697be228ffceeaf2c16f6d7319d

[ "Apache-2.0" ]

1

2020-07-24T08:25:25.000Z

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright (c) 2012 OpenStack, LLC. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by 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. """Tests for hook customization.""" import stevedore from nova import hooks from nova import test class SampleHookA(object): name = "a" def _add_called(self, op, kwargs): called = kwargs.get('called', None) if called is not None: called.append(op + self.name) def pre(self, *args, **kwargs): self._add_called("pre", kwargs) class SampleHookB(SampleHookA): name = "b" def post(self, rv, *args, **kwargs): self._add_called("post", kwargs) class MockEntryPoint(object): def __init__(self, cls): self.cls = cls def load(self): return self.cls class HookTestCase(test.TestCase): def _mock_load_plugins(self, iload, iargs, ikwargs): return [ stevedore.extension.Extension('test_hook', MockEntryPoint(SampleHookA), SampleHookA, SampleHookA()), stevedore.extension.Extension('test_hook', MockEntryPoint(SampleHookB), SampleHookB, SampleHookB()), ] def setUp(self): super(HookTestCase, self).setUp() hooks.reset() self.stubs.Set(stevedore.extension.ExtensionManager, '_load_plugins', self._mock_load_plugins) @hooks.add_hook('test_hook') def _hooked(self, a, b=1, c=2, called=None): return 42 def test_basic(self): self.assertEqual(42, self._hooked(1)) mgr = hooks._HOOKS['test_hook'] self.assertEqual(2, len(mgr.extensions)) self.assertEqual(SampleHookA, mgr.extensions[0].plugin) self.assertEqual(SampleHookB, mgr.extensions[1].plugin) def test_order_of_execution(self): called_order = [] self._hooked(42, called=called_order) self.assertEqual(['prea', 'preb', 'postb'], called_order)

28.227273

78

0.654187

308

2,484

5.165584

0.435065

0.037712

0.016342

0.020113

0.090509

0.061596

0

0.012137

0.237118

2,484

87

79

28.551724

0.827441

0.272947

0

0.043478

0

0.043113

0

0.108696

1

0.217391

false

0

0.065217

0.478261

0

null

0

null

0

1

0

1

0b649e46fb5914bfe7b320bbcd19fe8e80f42ef7

1,624

py

Python

code_trunk/emb.py

chris4540/DD2430-ds-proj

b876efabe949392b27a7ebd4afb2be623174e287

[ "MIT" ]

null

code_trunk/emb.py

chris4540/DD2430-ds-proj

b876efabe949392b27a7ebd4afb2be623174e287

[ "MIT" ]

null

code_trunk/emb.py

chris4540/DD2430-ds-proj

b876efabe949392b27a7ebd4afb2be623174e287

[ "MIT" ]

null

import torch from network.siamese import SiameseNet from network.resnet import ResidualEmbNetwork import os import numpy as np from utils.datasets import DeepFashionDataset from torchvision.transforms import Compose from torchvision.transforms import Resize from torchvision.transforms import ToTensor from torchvision.transforms import Normalize from torch.utils.data import Subset from torch.utils.data import DataLoader from utils import extract_embeddings import pickle from cuml.manifold import TSNE emb_net = ResidualEmbNetwork() model = SiameseNet(emb_net) trans = Compose( [ Resize((224, 224)), ToTensor(), Normalize([0.7511, 0.7189, 0.7069], [0.2554, 0.2679, 0.2715]), ]) model.load_state_dict(torch.load('siamese_resnet18.pth')) deep_fashion_root_dir = "./deepfashion_data" train_ds = DeepFashionDataset( deep_fashion_root_dir, 'train', transform=trans) emb_net = model.emb_net emb_net.cuda() # subset n_samples = 25000 sel_idx = np.random.choice( list(range(len(train_ds))), n_samples, replace=False) assert len(set(sel_idx)) == n_samples ds = Subset(train_ds, sel_idx) loader = DataLoader( ds, batch_size=100, pin_memory=True, num_workers=os.cpu_count()) print("extracting...") embeddings, labels = extract_embeddings(emb_net, loader) tsne = TSNE(n_iter=400, metric="euclidean") projected_emb = tsne.fit_transform(embeddings) with open('projected_emb.pkl', 'wb') as handle: pickle.dump(projected_emb, handle, protocol=pickle.HIGHEST_PROTOCOL) with open('labels.pkl', 'wb') as handle: pickle.dump(labels, handle, protocol=pickle.HIGHEST_PROTOCOL)

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null

0

null

0

1

0

1

0b6a970c6ea0942a3a8927c5faff7c9dff07c309

4,096

py

Python

tests/testJobQueue.py

hartloff/Tango

9dd867a596441e0e2ba1069017781dddb9c79bdb

[ "Apache-2.0" ]

2

2020-10-30T03:01:55.000Z

2021-03-25T03:18:12.000Z

tests/testJobQueue.py

hartloff/Tango

9dd867a596441e0e2ba1069017781dddb9c79bdb

[ "Apache-2.0" ]

7

2018-06-26T02:48:09.000Z

2021-01-21T03:12:19.000Z

tests/testJobQueue.py

hartloff/Tango

9dd867a596441e0e2ba1069017781dddb9c79bdb

[ "Apache-2.0" ]

9

2018-09-28T23:48:48.000Z

2021-10-03T20:29:48.000Z

import unittest import redis from jobQueue import JobQueue from tangoObjects import TangoIntValue, TangoJob from config import Config class TestJobQueue(unittest.TestCase): def setUp(self): if Config.USE_REDIS: __db = redis.StrictRedis( Config.REDIS_HOSTNAME, Config.REDIS_PORT, db=0) __db.flushall() self.job1 = TangoJob( name="sample_job_1", vm="ilter.img", outputFile="sample_job_1_output", input=[], timeout=30, notifyURL="notifyMeUrl", maxOutputFileSize=4096) self.job2 = TangoJob( name="sample_job_2", vm="ilter.img", outputFile="sample_job_2_output", input=[], timeout=30, notifyURL="notifyMeUrl", maxOutputFileSize=4096) self.jobQueue = JobQueue(None) self.jobQueue.reset() self.jobId1 = self.jobQueue.add(self.job1) self.jobId2 = self.jobQueue.add(self.job2) def test_sharedInt(self): if Config.USE_REDIS: num1 = TangoIntValue("nextID", 1000) num2 = TangoIntValue("nextID", 3000) self.assertEqual(num1.get(), 1000) self.assertEqual(num1.get(), num2.get()) else: return def test_job(self): self.job1.makeUnassigned() self.assertTrue(self.job1.isNotAssigned()) job = self.jobQueue.get(self.jobId1) self.assertTrue(job.isNotAssigned()) self.job1.makeAssigned() print "Checkout:" self.assertFalse(self.job1.isNotAssigned()) self.assertFalse(job.isNotAssigned()) def test_add(self): info = self.jobQueue.getInfo() self.assertEqual(info['size'], 2) def test_addDead(self): return self.assertEqual(1, 1) def test_remove(self): self.jobQueue.remove(self.jobId1) info = self.jobQueue.getInfo() self.assertEqual(info['size'], 1) self.jobQueue.remove(self.jobId2) info = self.jobQueue.getInfo() self.assertEqual(info['size'], 0) def test_delJob(self): self.jobQueue.delJob(self.jobId1, 0) info = self.jobQueue.getInfo() self.assertEqual(info['size'], 1) self.assertEqual(info['size_deadjobs'], 1) self.jobQueue.delJob(self.jobId1, 1) info = self.jobQueue.getInfo() self.assertEqual(info['size_deadjobs'], 0) return False def test_get(self): ret_job_1 = self.jobQueue.get(self.jobId1) self.assertEqual(str(ret_job_1.id), self.jobId1) ret_job_2 = self.jobQueue.get(self.jobId2) self.assertEqual(str(ret_job_2.id), self.jobId2) def test_getNextPendingJob(self): self.jobQueue.assignJob(self.jobId2) self.jobQueue.unassignJob(self.jobId1) exp_id = self.jobQueue.getNextPendingJob() self.assertMultiLineEqual(exp_id, self.jobId1) def test_getNextPendingJobReuse(self): return False def test_assignJob(self): self.jobQueue.assignJob(self.jobId1) job = self.jobQueue.get(self.jobId1) self.assertFalse(job.isNotAssigned()) def test_unassignJob(self): self.jobQueue.assignJob(self.jobId1) job = self.jobQueue.get(self.jobId1) self.assertTrue(job.assigned) self.jobQueue.unassignJob(self.jobId1) job = self.jobQueue.get(self.jobId1) return self.assertEqual(job.assigned, False) def test_makeDead(self): info = self.jobQueue.getInfo() self.assertEqual(info['size_deadjobs'], 0) self.jobQueue.makeDead(self.jobId1, "test") info = self.jobQueue.getInfo() self.assertEqual(info['size_deadjobs'], 1) def test__getNextID(self): init_id = self.jobQueue.nextID for i in xrange(1, Config.MAX_JOBID + 100): id = self.jobQueue._getNextID() self.assertNotEqual(str(id), self.jobId1) self.jobQueue.nextID = init_id if __name__ == '__main__': unittest.main()

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0.619141

460

4,096

5.386957

0.206522

0.150121

0.06134

0.074253

0.459645

0.368846

0.292978

0.25908

0.139629

0

0.027898

0.264893

4,096

137

64

29.89781

0.795085

0

0.349057

0

0.049561

0

0.207547

0

null

0

0.04717

null

0.009434

0

null

0

null

0

1

0

1

0b6eaa68175183e78cc2a72bb734ce612395335a

341

py

Python

flask_webpack_bundle/config.py

briancappello/flask-webpack-bundle

67896e6ade345e34721a8f9da156b65fc0646984

[ "MIT" ]

null

flask_webpack_bundle/config.py

briancappello/flask-webpack-bundle

67896e6ade345e34721a8f9da156b65fc0646984

[ "MIT" ]

null

flask_webpack_bundle/config.py

briancappello/flask-webpack-bundle

67896e6ade345e34721a8f9da156b65fc0646984

[ "MIT" ]

null

import os from flask_unchained import AppConfig class Config(AppConfig): WEBPACK_MANIFEST_PATH = os.path.join( AppConfig.STATIC_FOLDER, 'assets', 'manifest.json') class ProdConfig: # use relative paths by default, ie, the same host as the backend WEBPACK_ASSETS_HOST = '' class StagingConfig(ProdConfig): pass

18.944444

69

0.730205

43

341

5.651163

0.697674

0

0.193548

341

17

70

20.058824

0.883636

0.184751

0

0.068841

0

1

0

false

0.111111

0.222222

0

0.777778

0

null

0

null

0

1

0

1

0b6fda84960a8cf5a23f750128dc700eaee71d2f

2,458

py

Python

touchdown/aws/elasticache/replication_group.py

yaybu/touchdown

70ecda5191ce2d095bc074dcb23bfa1584464814

[ "Apache-2.0" ]

14

2015-01-05T18:18:04.000Z

2022-02-07T19:35:12.000Z

touchdown/aws/elasticache/replication_group.py

yaybu/touchdown

70ecda5191ce2d095bc074dcb23bfa1584464814

[ "Apache-2.0" ]

106

2015-01-06T00:17:13.000Z

2019-09-07T00:35:32.000Z

touchdown/aws/elasticache/replication_group.py

yaybu/touchdown

70ecda5191ce2d095bc074dcb23bfa1584464814

[ "Apache-2.0" ]

5

2015-01-30T10:18:24.000Z

2022-02-07T19:35:13.000Z

# Copyright 2014 Isotoma Limited # # 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 touchdown.core import argument, output, serializers from touchdown.core.plan import Plan from ..common import SimpleApply, SimpleDescribe, SimpleDestroy from .cache import BaseCacheCluster class ReplicationGroup(BaseCacheCluster): resource_name = "replication_group" name = argument.String( max=16, regex=r"[a-z1-9\-]{1,20}", field="ReplicationGroupId" ) description = argument.String( default=lambda resource: resource.name, field="ReplicationGroupDescription" ) primary_cluster = argument.Resource( "touchdown.aws.elasticache.cache.CacheCluster", field="PrimaryClusterId" ) automatic_failover = argument.Boolean(field="AutomaticFailoverEnabled") num_cache_clusters = argument.Integer(field="NumCacheClusters", update=False) endpoint_address = output.Output( serializers.Property("NodeGroups[0].PrimaryEndpoint.Address") ) endpoint_port = output.Output( serializers.Property("NodeGroups[0].PrimaryEndpoint.Port") ) class Describe(SimpleDescribe, Plan): resource = ReplicationGroup service_name = "elasticache" api_version = "2015-02-02" describe_action = "describe_replication_groups" describe_envelope = "ReplicationGroups" describe_notfound_exception = "ReplicationGroupNotFoundFault" key = "ReplicationGroupId" class Apply(SimpleApply, Describe): create_action = "create_replication_group" update_action = "modify_replication_group" waiter = "replication_group_available" class Destroy(SimpleDestroy, Describe): destroy_action = "delete_replication_group" waiter = "replication_group_deleted" def get_destroy_serializer(self): return serializers.Dict( ReplicationGroupId=serializers.Identifier(), RetainPrimaryCluster=True if self.resource.primary_cluster else False, )

32.773333

83

0.746542

269

2,458

6.702602

0.565056

0.033278

0.01442

0.017748

0.10538

0.063228

0

0.012255

0.170057

2,458

74

84

33.216216

0.871569

0.223759

0

0.256072

0.182682

0

1

0.023256

false

0

0.093023

0.023256

0.697674

0

null

0

null

0

1

0

1

0b72b6b59c7098297806590340d0f99c8c866547

426

py

Python

chartconvert/mpp.py

e-sailing/avnav

b3e8df4d6fa122b05309eee09197c716e29b64ec

[ "MIT" ]

null

chartconvert/mpp.py

e-sailing/avnav

b3e8df4d6fa122b05309eee09197c716e29b64ec

[ "MIT" ]

null

chartconvert/mpp.py

e-sailing/avnav

b3e8df4d6fa122b05309eee09197c716e29b64ec

[ "MIT" ]

null

#! /usr/bin/env python # # vim: ts=2 sw=2 et # import sys #from wx.py.crust import Display inchpm=39.3700 dpi=100 if len(sys.argv) >1: dpi=int(sys.argv[1]) displaympp=1/(float(dpi)*inchpm) print "display mpp=%f"%(displaympp) mpp= 20037508.342789244 * 2 / 256 print "Level : mpp \t\t: scale" for i in range(0,31): scale=mpp/displaympp print "level(%02d):%07.4f:\t\t1:%5.2f"%(i,mpp,scale) mpp=mpp/2

16.384615

54

0.638498

78

426

3.487179

0.628205

0.051471

0.058824

0

0.133903

0.176056

426

25

55

17.04

0.641026

0.164319

0

0.216524

0.08547

0

null

0

0.076923

null

0.230769

0

null

0

null

0

1

0

1

0b740ea892a08bb96379c733e82f7e4324d439a4

684

py

Python

examples/driving_in_traffic/scenarios/loop/scenario.py

zbzhu99/SMARTS

652aa23e71bd4e2732e2742140cfcd0ec082a7da

[ "MIT" ]

2

2021-12-13T12:41:54.000Z

2021-12-16T03:10:24.000Z

examples/driving_in_traffic/scenarios/loop/scenario.py

zbzhu99/SMARTS

652aa23e71bd4e2732e2742140cfcd0ec082a7da

[ "MIT" ]

null

examples/driving_in_traffic/scenarios/loop/scenario.py

zbzhu99/SMARTS

652aa23e71bd4e2732e2742140cfcd0ec082a7da

[ "MIT" ]

null

from pathlib import Path from smarts.sstudio import gen_scenario from smarts.sstudio import types as t traffic = t.Traffic( flows=[ t.Flow( route=t.RandomRoute(), rate=60 * 60, actors={t.TrafficActor(name="car", vehicle_type=vehicle_type): 1}, ) for vehicle_type in [ "passenger", "bus", "coach", "truck", "trailer", "passenger", "bus", "coach", "truck", "trailer", ] ] ) gen_scenario( t.Scenario( traffic={"basic": traffic}, ), output_dir=Path(__file__).parent, )

20.117647

78

0.483918

65

684

4.938462

0.569231

0.102804

0.105919

0.143302

0.180685

0

0.012077

0.394737

684

33

79

20.727273

0.763285

0

0.333333

0

0.096491

0

1

0

false

0.066667

0.1

0

0.1

0

null

0

null

0

1

0

1

0b7aa19dc4e53889b36908ba53b351bf9cbef5d2

6,444

py

Python

calc/bond.py

RaphaelOneRepublic/financial-calculator

2451b35a4cb52a6c254ae9fdae462dfebdc51e65

[ "MIT" ]

2

2020-12-10T13:00:43.000Z

2020-12-19T16:59:48.000Z

calc/bond.py

RaphaelOneRepublic/financial-calculator

2451b35a4cb52a6c254ae9fdae462dfebdc51e65

[ "MIT" ]

null

calc/bond.py

RaphaelOneRepublic/financial-calculator

2451b35a4cb52a6c254ae9fdae462dfebdc51e65

[ "MIT" ]

null

import logging from typing import Sequence import numpy as np from calc.optimize import root class Bond(object): """ Represents a coupon paying bond. Upon creation, the time to maturity, coupon periods per year, coupon rate must be provided. If yield to maturity is provided, bond value would be ignored. If yield to maturity is provided, bond value would be used to compute the implied yield to maturity. Face value is assumed to be 100 if not provided. """ def __init__(self, T: float, R: float, m: int = 2, y: float = None, F: float = 100, B: float = None): """ construct a coupon paying bond :param T: time to maturity in years :param m: coupon payments per year :param R: quoted annual coupon rate :param y: (implied) yield to maturity :param (optional) F: face value :param B: traded bond price """ self._T = T self._m = m self._R = R self._F = F if y is not None: self._y = y self.__refresh_value_cache__() elif B is not None: self.B = B else: raise ValueError("one of yield to maturity or bond price must be provided") def __refresh_value_cache__(self): """ recompute cached bond properties. :return: """ self.__refresh_primary_cache__() self._d2Bdy2 = np.sum(self._ts * self._ts * self._dcs) self._duration = -self._dBdy / self._B self._convexity = self._d2Bdy2 / self._B def __refresh_primary_cache__(self): """ recompute frequently accessed bond properties except for duration, convexity and second order derivative. :return: """ self._ts = np.arange(self._T, 0, -1 / self._m)[::-1] self._cs = [self._R * self._F / 100 / self._m for _ in range(len(self._ts))] self._cs[-1] += self._F self._dcs = np.exp(-self._y * self._ts) * self._cs self._B = np.sum(self._dcs) self._dBdy = float(np.sum(-self._ts * self._dcs)) @property def T(self): """ time to maturity :return: """ return self._T @T.setter def T(self, value): self._T = value self.__refresh_value_cache__() @property def m(self): """ coupon payments per year :return: """ return self._m @m.setter def m(self, value): self._m = value self.__refresh_value_cache__() @property def R(self): """ coupon rate :return: """ return self._R @R.setter def R(self, value): self._R = value self.__refresh_value_cache__() @property def y(self): """ yield to maturity :return: """ return self._y @property def ytm(self): """ yield to maturity :return: """ return self._y @property def current(self): """ the current yield of the bond = annual interest payment / bond price :return: """ return self._R / 100 * self._F / self._B @property def bankeq(self): """ the bank equivalent yield of the bond = (par - value) / par * 360 / days to maturity :return: """ assert self._R == 0 return (self._F - self._B) / self._F * 360 / (self._T * 365) @property def cdeq(self): """ the money market equivalent yield of the bond = (par - value) / value * 360 / days to maturity :return: """ assert self._R == 0 return (self._F - self._B) / self._B * 360 / (self._T * 365) @y.setter def y(self, value): self._y = value self.__refresh_value_cache__() @property def B(self): """ bond value :return: """ return self._B @B.setter def B(self, value): def f(x): self._y = x self.__refresh_primary_cache__() return self._B - value def df(x: float): return self._dBdy try: # compute implied yield to maturity with initial guess = 0.1 self.y = root(f, 0.1, df, epsilon=10e-9, delta=10e-9) except RuntimeError: logging.error("invalid bond value") @property def F(self): """ face value :return: """ return self._F @F.setter def F(self, value): self._F = value self.__refresh_value_cache__() @property def duration(self): """ modified duration of the bond :return: """ return self._duration @property def convexity(self): """ :convexity of the bond :return: """ return self._convexity def find_curve(bond, known: np.array, epsilon: float = 10e-10): t = np.arange(bond.T, 0, - 1. / bond.m)[::-1] c = np.array([bond.R / bond.m] * len(t)) c[-1] += bond.F def f(x: float) -> float: r = np.linspace(x, known[-1], len(t) + 1 - len(known), endpoint=False)[::-1] rr = np.concatenate([known[1:], r]) return float(np.sum(c * np.exp(-rr * t))) - bond.B def df(x: float) -> float: r = np.linspace(x, known[-1], len(t) + 1 - len(known), endpoint=False)[::-1] cc = c[len(known) - 1:] tt = t[len(known) - 1:] return float(np.sum(-cc * tt * np.exp(-r * tt) * np.arange(1, len(tt) + 1) / len(tt))) x = root(f, 0.05, df=df) r = np.linspace(x, known[-1], len(t) + 1 - len(known), endpoint=False)[::-1] rr = np.concatenate([known[:], r]) return rr def bootstrap(bonds: Sequence[Bond], overnight: float, epsilon: float = 10e-10): """ Bootstrap a zero rate curve from the given bonds and bond values. Note that the bonds must have equal coupon payment periods (equal <m>s). Zero rates at times for which we do not have a bond are calculated by a linear line connecting the two nearest rates at times for which we do have a bond. :param overnight: :param epsilon: :param bonds: :return: """ bonds = sorted(bonds, key=lambda x: x.T) known = [overnight] for bond in bonds: known = find_curve(bond, known) return known

24.689655

113

0.542675

850

6,444

3.96

0.207059

0.047534

0.037433

0.264409

0.247772

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0.144682

0

0.018824

0.340472

6,444

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0.260708

0

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0

0.017548

0

0.016393

1

0.221311

false

0

0.032787

0.008197

0.409836

0

null

0

null

0

1

0

1

0b7b1e425f8017f791073b532d42d48a2786d924

171

py

Python

13.py

kwoshvick/project-euler

d27370b0f22b51ad9ccb15afa912983d8fd8be5c

[ "MIT" ]

null

13.py

kwoshvick/project-euler

d27370b0f22b51ad9ccb15afa912983d8fd8be5c

[ "MIT" ]

null

13.py

kwoshvick/project-euler

d27370b0f22b51ad9ccb15afa912983d8fd8be5c

[ "MIT" ]

null

file = open("13") sum = 0 for numbers in file: #print(numbers.rstrip()) numbers = int(numbers) sum += numbers; print(sum) sum = str(sum) print(sum[:10])

10.6875

28

0.596491

25

171

4.08

0.52

0.156863

0

0.038168

0.233918

171

15

29

11.4

0.740458

0.134503

0

0.013605

0

1

0

false

0

0.25

1

0

null

0

null

0

1

0b8210f4f1d6486c1ca027ea81ba3795882b8a8f

3,433

py

Python

tests/python/benchmarks/two_neighborhood_bench.py

sid17/weaver

f9074397ca854a777a873eaf409621de679f9749

[ "BSD-3-Clause" ]

163

2015-01-02T03:51:38.000Z

2022-03-21T23:06:39.000Z

tests/python/benchmarks/two_neighborhood_bench.py

sid17/weaver

f9074397ca854a777a873eaf409621de679f9749

[ "BSD-3-Clause" ]

1

2015-04-08T23:17:06.000Z

2015-04-24T15:25:26.000Z

tests/python/benchmarks/two_neighborhood_bench.py

sid17/weaver

f9074397ca854a777a873eaf409621de679f9749

[ "BSD-3-Clause" ]

20

2015-02-17T19:24:05.000Z

2020-10-29T01:59:18.000Z

#! /usr/bin/env python # # =============================================================== # Description: Two neighborhood benchmark # # Created: 2014-03-21 13:39:06 # # Author: Ayush Dubey, dubey@cs.cornell.edu # # Copyright (C) 2013-2014, Cornell University, see the LICENSE # file for licensing agreement # =============================================================== # import random import sys import time import threading import weaver.client as client import simple_client random.seed(42) num_edges = 1768149 edge_sources = [None] * num_edges def choose_random_pair(): global edge_sources return (edge_sources[random.randint(0, num_edges-1)], edge_sources[random.randint(0, num_edges-1)]) if (len(sys.argv) != 2): print "want single extra arg for file to open" assert(False) f = open(sys.argv[1]) i = 0 for line in f: if (line[0] is '#'): continue edge_sources[i] = int(line.split(" ")[0]) i += 1 print "done loading file" num_started = 0 num_finished = 0 cv = threading.Condition() num_nodes = 81306 # snap twitter-combined read_percent = 95 # node handles are range(0, num_nodes) num_vts = 1 num_clients = 100 requests_per_client = 200 def add_labels(c, idx): global num_nodes tx_id = c.begin_tx() for i in range(num_nodes): if i % num_clients is idx: c.set_node_property(tx_id, i, 'name', str(i)) assert(c.end_tx(tx_id)) print "writing labels finished for client " + str(idx) def exec_reads(reqs, sc, c, exec_time, idx): global num_started global cv global num_clients global num_finished with cv: while num_started < num_clients: cv.wait() start = time.time() cnt = 0 for pair in reqs: cnt += 1 if (random.randint(1,100) > read_percent) : tx_id = c.begin_tx() c.create_edge(tx_id, pair[0], pair[1]) assert(c.end_tx(tx_id)) else: two_neighborhood = sc.two_neighborhood(pair[0], "name", caching = True) end = time.time() with cv: num_finished += 1 cv.notify_all() exec_time[idx] = end - start clients = [] simple_clients = [] for i in range(num_clients): clients.append(client.Client(client._CLIENT_ID + i, i % num_vts)) simple_clients.append(simple_client.simple_client(clients[i])) reqs = [] for i in range(num_clients): cl_reqs = [] for _ in range(requests_per_client): cl_reqs.append(choose_random_pair()) reqs.append(cl_reqs) exec_time = [0] * num_clients threads = [] print "starting writes" for i in range(num_clients): thr = threading.Thread(target=add_labels, args=(clients[i], i)) thr.start() threads.append(thr) for thr in threads: thr.join() print "starting requests" for i in range(num_clients): thr = threading.Thread(target=exec_reads, args=(reqs[i], simple_clients[i], clients[i], exec_time, i)) thr.start() threads.append(thr) start_time = time.time() with cv: num_started = num_clients cv.notify_all() while num_finished < num_clients: cv.wait() end_time = time.time() total_time = end_time-start_time for thr in threads: thr.join() print 'Total time for ' + str(num_clients * requests_per_client) + 'requests = ' + str(total_time) throughput = (num_clients * requests_per_client) / total_time print 'Throughput = ' + str(throughput)

26.206107

106

0.633265

492

3,433

4.227642

0.286585

0.0625

0.014423

0.026442

0.241827

0.161538

0.101923

0.075962

0.043269

0

0.02567

0.217011

3,433

130

107

26.407692

0.74814

0.132537

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0.03

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null

0.07

0

null

0

null

0

1

0

1

0b83f0ab273b13a1a169d3aa5355aab90ac31ca1

313

py

Python

setup.py

cfbolz/syntaxerrors

1c7ecc8fd0d05253d5c55dee39802cfb86fb69f7

[ "Apache-2.0", "OpenSSL" ]

5

2018-04-11T15:19:53.000Z

2020-10-27T15:23:18.000Z

setup.py

cfbolz/syntaxerrors

1c7ecc8fd0d05253d5c55dee39802cfb86fb69f7

[ "Apache-2.0", "OpenSSL" ]

null

setup.py

cfbolz/syntaxerrors

1c7ecc8fd0d05253d5c55dee39802cfb86fb69f7

[ "Apache-2.0", "OpenSSL" ]

null

from setuptools import setup, find_packages setup( name='syntaxerrors', version='0.0.1', description='Report better SyntaxErrors', author='Carl Friedrich Bolz-Tereick', author_email='cfbolz@gmx.de', packages=['syntaxerrors'], package_dir={'': 'src'}, include_package_data=True, )

24.076923

45

0.686901

36

313

5.833333

0.805556

0

0.011538

0.169329

313

12

46

26.083333

0.796154

0

0.313099

0

1

0

true

0

0.090909

0

0.090909

0

null

0

null

0

1

0

1

0b88cc0b918db3b0b9bc55668bf46c025033b785

2,237

py

Python

authlib/oauth2/rfc6749/__init__.py

geoffwhittington/authlib

096f2a41f4fb18f9850427f07d556d4b9ab97383

[ "BSD-3-Clause" ]

null

authlib/oauth2/rfc6749/__init__.py

geoffwhittington/authlib

096f2a41f4fb18f9850427f07d556d4b9ab97383

[ "BSD-3-Clause" ]

null

authlib/oauth2/rfc6749/__init__.py

geoffwhittington/authlib

096f2a41f4fb18f9850427f07d556d4b9ab97383

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ authlib.oauth2.rfc6749 ~~~~~~~~~~~~~~~~~~~~~~ This module represents a direct implementation of The OAuth 2.0 Authorization Framework. https://tools.ietf.org/html/rfc6749 """ from .wrappers import OAuth2Request, OAuth2Token, HttpRequest from .errors import ( OAuth2Error, AccessDeniedError, MissingAuthorizationError, InvalidGrantError, InvalidClientError, InvalidRequestError, InvalidScopeError, InsecureTransportError, UnauthorizedClientError, UnsupportedResponseTypeError, UnsupportedGrantTypeError, UnsupportedTokenTypeError, # exceptions for clients MissingCodeException, MissingTokenException, MissingTokenTypeException, MismatchingStateException, ) from .models import ClientMixin, AuthorizationCodeMixin, TokenMixin from .authenticate_client import ClientAuthentication from .authorization_server import AuthorizationServer from .resource_protector import ResourceProtector, TokenValidator from .token_endpoint import TokenEndpoint from .grants import ( BaseGrant, AuthorizationEndpointMixin, TokenEndpointMixin, AuthorizationCodeGrant, ImplicitGrant, ResourceOwnerPasswordCredentialsGrant, ClientCredentialsGrant, RefreshTokenGrant, ) __all__ = [ 'OAuth2Request', 'OAuth2Token', 'HttpRequest', 'OAuth2Error', 'AccessDeniedError', 'MissingAuthorizationError', 'InvalidGrantError', 'InvalidClientError', 'InvalidRequestError', 'InvalidScopeError', 'InsecureTransportError', 'UnauthorizedClientError', 'UnsupportedResponseTypeError', 'UnsupportedGrantTypeError', 'UnsupportedTokenTypeError', 'MissingCodeException', 'MissingTokenException', 'MissingTokenTypeException', 'MismatchingStateException', 'ClientMixin', 'AuthorizationCodeMixin', 'TokenMixin', 'ClientAuthentication', 'AuthorizationServer', 'ResourceProtector', 'TokenValidator', 'TokenEndpoint', 'BaseGrant', 'AuthorizationEndpointMixin', 'TokenEndpointMixin', 'AuthorizationCodeGrant', 'ImplicitGrant', 'ResourceOwnerPasswordCredentialsGrant', 'ClientCredentialsGrant', 'RefreshTokenGrant', ]

27.617284

67

0.743406

127

2,237

13.031496

0.598425

0.029003

0.042296

0.084592

0.496677

0.298489

0

0.009672

0.168082

2,237

80

68

27.9625

0.879635

0.097452

0

0.333166

0.174874

0

1

0

false

0.029851

0.119403

0

0.119403

0

1

null

0

null

0

1

0b88fa702aed7c893ac61d3d5a2bd66384c1a59d

1,613

py

Python

scripts/serial_command.py

philip-long/singletact-python-wrapper

659796f614116db77f31d6b0cc1e0c963104948e

[ "MIT" ]

null

scripts/serial_command.py

philip-long/singletact-python-wrapper

659796f614116db77f31d6b0cc1e0c963104948e

[ "MIT" ]

null

scripts/serial_command.py

philip-long/singletact-python-wrapper

659796f614116db77f31d6b0cc1e0c963104948e

[ "MIT" ]

null

TIMEOUT=100 def GenerateWriteCommand(i2cAddress, ID, writeLocation, data): i = 0 TIMEOUT = 100 command = bytearray(len(data)+15) while (i < 4): command[i] = 255 i += 1 command[4] = i2cAddress command[5] = TIMEOUT command[6] = ID command[7] = 2 command[8] = writeLocation command[9] = len(data) command[(10 + len(data))] = 255 i = 0 while (i < len(data)): command[(10 + i)] = data[i] i += 1 i = 0 while (i < 4): command[(11 + i) + len(data)] = 254 i += 1 return command def GenerateReadCommand(i2cAddress, ID, readLocation, numToRead): command = bytearray(16) i = 0 TIMEOUT = 100 while (i < 4): command[i] = 0xFF i += 1 command[4] = i2cAddress command[5] = TIMEOUT command[6] = ID command[7] = 0x01 command[8] = readLocation command[9] = numToRead command[10] = 0xFF i = 0 while (i < 4): command[(11 + i)] = 0xFE i += 1 return command def GenerateToggleCommand(i2cAddress, ID, writeLocation, data): i = 0 command = bytearray(16 + 15) while (i < 4): command[i] = 255 i += 1 command[4] = i2cAddress command[5] = TIMEOUT command[6] = ID command[7] = 3 command[8] = data command[9] = 16 command[(10 + 16)] = 255 i = 0 while (i < 16): command[(10 + i)] = 7 i += 1 i = 0 while (i < 4): command[((11 + i) + 16)] = 254 i += 1 return command

23.042857

66

0.49349

199

1,613

4

0.18593

0.020101

0.052764

0.105528

0.522613

0.404523

0.326633

0.302764

0

0.113095

0.375078

1,613

70

67

23.042857

0.676587

0

0.6

1

0

0.010356

0

1

0.046154

false

0

0.092308

0

null

0

1

0

null

0

1

0b89d5110511e9a326a0adf1605527ae76c9199c

1,220

py

Python

1SiteRanking/create_kernel_density_map_arcpy.py

HCH2CHO/EmotionMap

bc572b4182637dcdd65e9a13c92f2fa0d9a3d680

[ "MIT" ]

3

2021-07-15T15:58:52.000Z

2021-07-16T13:22:47.000Z

1SiteRanking/create_kernel_density_map_arcpy.py

HCH2CHO/EmotionMap

bc572b4182637dcdd65e9a13c92f2fa0d9a3d680

[ "MIT" ]

null

1SiteRanking/create_kernel_density_map_arcpy.py

HCH2CHO/EmotionMap

bc572b4182637dcdd65e9a13c92f2fa0d9a3d680

[ "MIT" ]

4

2017-08-04T12:41:06.000Z

2019-01-31T14:55:10.000Z

# coding:utf-8 # version:python2.7.3 # author:kyh # import x,y data from txt and create kernel density map import arcpy from arcpy.sa import * from arcpy import env def read_point_data(filepath,i): # Read data file and create shp file with open(filepath, 'r') as pt_file: pt=arcpy.Point() ptGeoms=[] i=0 for line in pt_file.readlines(): i=i+1 pt.X = float(line.split('\t')[7]) pt.Y = float(line.split('\t')[8]) ptGeoms.append(arcpy.PointGeometry(pt)) arcpy.CopyFeatures_management(ptGeoms, "D://Users//KYH//Documents//ArcGIS//FlickrPhoto//World_Flickr{0}.shp".format(i)) if __name__ == '__main__': arcpy.CheckOutExtension('Spatial') env.workspace=("D:\Users\KYH\Documents\ArcGIS\FlickrPhoto") for i in range(0,25): if (i==5) or (i==22): continue read_point_data("D:\\Users\\KYH\\Desktop\\EmotionMap\\FlickrEmotionData\\3faces_emotion\\faceflickr{0}.txt".format(i)) # Kernel Density Analysis out_kernel_density=KernelDensity("World_Flickr{0}.shp".format(i),"NONE") out_kernel_density.save("D:\Users\KYH\Documents\ArcGIS\FlickrPhoto\kd_Face{0}".format(i))

33.888889

127

0.645902

172

1,220

4.447674

0.476744

0.067974

0.047059

0.070588

0.194771

0

0.019527

0.202459

1,220

35

128

34.857143

0.766701

0.128689

0

0.276777

0.236019

0

null

0

0.130435

null

0

null

0

null

0

1

0

1

0b944182e57c98d2c412133b9ff0a2ad81333fdb

737

py

Python

setup.py

ZeroCater/zerocaterpy

824af8613db0c5f203c0b2f7cebd830ee80eea5d

[ "MIT" ]

null

setup.py

ZeroCater/zerocaterpy

824af8613db0c5f203c0b2f7cebd830ee80eea5d

[ "MIT" ]

null

setup.py

ZeroCater/zerocaterpy

824af8613db0c5f203c0b2f7cebd830ee80eea5d

[ "MIT" ]

null

from setuptools import setup setup(name='zerocater', version='0.0.1', description="Python interface to ZeroCater", long_description='', keywords='zerocater food delivery meal planning catering lunch', author='ZeroCater', author_email='tech@zerocater.com', url='https://github.com/ZeroCater/PyZeroCater', download_url='https://github.com/ZeroCater/PyZeroCater/tarball/0.0.1', license='MIT', packages=['zerocater'], classifiers=[ "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Topic :: Internet :: WWW/HTTP", ] )

35.095238

76

0.63365

75

737

6.186667

0.68

0.008621

0.012931

0.073276

0.159483

0

0.012281

0.226594

737

21

77

35.095238

0.801754

0

0.54065

0

1

0

true

0

0.05

0

0.05

0

null

0

null

0

1

0

1

0b975c6ddf1a134fa942ba06d2fe6a39b749365f

6,435

py

Python

pdsensorvis/sensors/models.py

mickeykkim/masters-project-sphere

6dbe0be877058e647f5e3822932e5a70f181bb53

[ "MIT" ]

2

2019-10-05T20:59:41.000Z

2019-11-01T20:25:39.000Z

pdsensorvis/sensors/models.py

mickeykkim/masters-project-sphere

6dbe0be877058e647f5e3822932e5a70f181bb53

[ "MIT" ]

6

2019-10-24T12:28:02.000Z

2021-08-09T09:56:26.000Z

pdsensorvis/sensors/models.py

mickeykkim/masters-project-sphere

6dbe0be877058e647f5e3822932e5a70f181bb53

[ "MIT" ]

null

from django.db import models from django.urls import reverse from django.contrib.auth.models import User from django.utils import timezone import uuid ANNOTATION = ( ('asm', 'Asymmetry'), ('dst', 'Dystonia'), ('dsk', 'Dyskensia'), ('ebt', 'En Bloc Turning'), ('str', 'Short Stride Length'), ('mov', 'Slow/Hesitant Movement'), ('pos', 'Stooped Posture'), ('trm', 'Tremor'), ('oth', 'Other/Activity') ) FRAME_RATES = ( ('NTSC_Film', 23.98), ('Film', 24), ('PAL', 25), ('NTSC', 29.97), ('Web', 30), ('PAL_HD', 50), ('NTSC_HD', 59.94), ('High', 60), ) class PatientData(models.Model): id = models.AutoField(primary_key=True) first_name = models.CharField(max_length=50, help_text='Patient first name') last_name = models.CharField(max_length=50, help_text='Patient last name') date_of_birth = models.DateField(help_text='Patient date of birth') notes = models.CharField(max_length=500, help_text='Notes regarding patient') class Meta: ordering = ['last_name'] permissions = (("can_alter_patientdata", "Can create or edit patient data entries."),) def get_absolute_url(self): return reverse('patientdata-detail', args=[str(self.id)]) def __str__(self): return f'{self.last_name}, {self.first_name}' class WearableData(models.Model): id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text='Unique ID for this wearable data') patient = models.ForeignKey('PatientData', on_delete=models.CASCADE, null=True, related_name='wearables') filename = models.FileField(upload_to='wearable/', help_text='Wearable data file') time = models.DateTimeField(help_text='Session date & time') note = models.CharField(max_length=500, help_text='Note regarding wearable data') class Meta: ordering = ['patient', '-time'] permissions = (("can_alter_wearabledata", "Can create or edit wearable data entries."),) def get_absolute_url(self): return reverse('wearabledata-detail', args=[str(self.id)]) def __str__(self): return f'{self.patient} ({self.time})' class CameraData(models.Model): id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text='Unique ID for this wearable data') patient = models.ForeignKey('PatientData', on_delete=models.CASCADE, null=True, related_name='cameras') filename = models.FileField(upload_to='camera/', help_text='Camera video file') framerate = models.CharField( max_length=9, choices=FRAME_RATES, default='Film', help_text='Video framerate', ) time = models.DateTimeField(help_text='Session date & time') note = models.CharField(max_length=500, help_text='Note regarding camera data') class Meta: ordering = ['patient', '-time'] permissions = (("can_alter_cameradata", "Can create or edit camera data entries."),) def get_absolute_url(self): return reverse('cameradata-detail', args=[str(self.id)]) def __str__(self): return f'{self.patient} ({self.time})' def get_user_annotations(self): return self.c_annotations.filter(annotator=User) class WearableAnnotation(models.Model): id = models.AutoField(primary_key=True) wearable = models.ForeignKey('WearableData', on_delete=models.CASCADE, null=True, related_name='w_annotations') frame_begin = models.PositiveIntegerField() frame_end = models.PositiveIntegerField() annotator = models.ForeignKey(User, on_delete=models.SET_NULL, null=True) annotation = models.CharField( max_length=3, choices=ANNOTATION, default='oth', help_text='PD Symptom', ) note = models.CharField(max_length=500, help_text='Note regarding annotation', null=True, blank=True) class Meta: ordering = ['frame_begin'] permissions = (("can_alter_wearableannotation", "Can create or edit wearable annotations."),) def get_absolute_url(self): return reverse('wearableannotation-detail', args=[str(self.wearable.id), str(self.id)]) def __str__(self): return f'{self.wearable} - ({self.frame_begin}-{self.frame_end}) - {self.get_annotation_display()}' class CameraAnnotation(models.Model): id = models.AutoField(primary_key=True) camera = models.ForeignKey('CameraData', on_delete=models.CASCADE, null=True, related_name='c_annotations') time_begin = models.CharField(max_length=11, help_text='hh:mm:ss:ff') time_end = models.CharField(max_length=11, help_text='hh:mm:ss:ff') annotator = models.ForeignKey(User, on_delete=models.SET_NULL, null=True) annotation = models.CharField( max_length=3, choices=ANNOTATION, default='oth', help_text='PD Symptom', ) note = models.CharField(max_length=500, help_text='Note regarding annotation', null=True, blank=True) class Meta: ordering = ['camera', 'time_begin'] permissions = (("can_alter_cameraannotation", "Can create or edit camera annotations."),) def get_absolute_url(self): return reverse('cameraannotation-detail', args=[str(self.camera.id), str(self.id)]) def __str__(self): return f'{self.camera} - ({self.time_begin}-{self.time_end}) - {self.get_annotation_display()}' class CameraAnnotationComment(models.Model): id = models.AutoField(primary_key=True) annotation = models.ForeignKey('CameraAnnotation', on_delete=models.CASCADE, related_name='comments') author = models.ForeignKey(User, on_delete=models.SET_NULL, null=True) timestamp = models.DateTimeField(default=timezone.now) text = models.TextField() class Meta: ordering = ['annotation', 'timestamp'] permissions = (("can_alter_cameraannotation_comment", "Can create or edit camera annotation comments."),) def __str__(self): return self.text class WearableDataPoint(models.Model): id = models.AutoField(primary_key=True) wearable = models.ForeignKey('WearableData', on_delete=models.CASCADE, null=True, related_name='data_point') frame = models.PositiveIntegerField() magnitude = models.FloatField() class Meta: ordering = ['frame'] permissions = (("can_alter_wearabledata_point", "Can create or edit wearable data point."),) def __str__(self): return f'{self.wearable.id} - ({self.frame}, {self.magnitude})'

37.631579

116

0.685004

787

6,435

5.418043

0.208386

0.035647

0.050657

0.067542

0.585366

0.550657

0.523921

0.507036

0.446998

0.37031

0

0.009445

0.177312

6,435

170

117

37.852941

0.795995

0

0.343284

0

0.014925

0.261849

0.052991

0

1

0.097015

false

0

0.037313

0.097015

0.626866

0

null

0

null

0

1

0

1

0b9809b2c18e28f3af61ecc6021ff494abd1e0f4

533

py

Python

setup.py

soumyarani/mopac

72f10fdd3ea3c9c61b6c808ca07ee9031b7d4aa8

[ "MIT" ]

20

2021-03-16T08:18:01.000Z

2022-03-12T13:46:43.000Z

setup.py

soumyarani/mopac

72f10fdd3ea3c9c61b6c808ca07ee9031b7d4aa8

[ "MIT" ]

1

2021-05-13T14:49:25.000Z

2021-05-13T19:45:26.000Z

setup.py

soumyarani/mopac

72f10fdd3ea3c9c61b6c808ca07ee9031b7d4aa8

[ "MIT" ]

5

2020-11-01T15:46:39.000Z

2021-07-30T13:12:06.000Z

from distutils.core import setup from setuptools import find_packages setup( name='mopac', packages=find_packages(), version='0.1', description='Model-based policy optimization', long_description=open('./README.md').read(), author='', author_email='', url='', entry_points={ 'console_scripts': ( 'mopac=softlearning.scripts.console_scripts:main', 'viskit=mopac.scripts.console_scripts:main' ) }, requires=(), zip_safe=True, license='MIT' )

23.173913

62

0.626642

56

533

5.803571

0.696429

0.129231

0.153846

0

0.004878

0.230769

533

22

63

24.227273

0.787805

0

0.292683

0.165103

0

1

0

true

0

0.095238

0

0.095238

0

null

0

null

0

1

0

1

0b9897a43237e684b6c66f4d6a3b18dc5aaad9da

1,217

py

Python

onetouch.py

kakoni/insulaudit

18fe0802bafe5764882ac4e65e472fdc840baa45

[ "MIT" ]

1

2020-11-28T13:23:58.000Z

onetouch.py

kakoni/insulaudit

18fe0802bafe5764882ac4e65e472fdc840baa45

[ "MIT" ]

null

onetouch.py

kakoni/insulaudit

18fe0802bafe5764882ac4e65e472fdc840baa45

[ "MIT" ]

null

#!/usr/bin/python import user import serial from pprint import pprint, pformat import insulaudit from insulaudit.data import glucose from insulaudit.log import io from insulaudit.devices import onetouch2 import sys PORT = '/dev/ttyUSB0' def get_serial( port, timeout=2 ): return serial.Serial( port, timeout=timeout ) def init( ): mini = onetouch2.OneTouchUltra2( PORT, 5 ) print "is open? %s\n timeout: %s" % ( mini.serial.isOpen( ), mini.serial.getTimeout() ) print "" print "read serial number" serial = mini.execute( onetouch2.ReadSerial( ) ) print "serial number: %s" % serial print "" if serial == "": print "could not connect" sys.exit(1) print "" print "read firmware number" firmware = mini.execute( onetouch2.ReadFirmware( ) ) print "firmware: %s" % firmware print "" print "RFID" print mini.execute( onetouch2.ReadRFID( ) ) print "GLUCOSE" data = mini.read_glucose( ) print data print "len glucose: %s" % len( data ) head, body = data output = open( 'sugars-debug.txt', 'w' ) output.write( glucose.format_records( body ) ) output.write( '\n' ) output.close( ) return mini if __name__ == '__main__': port = init() io.info( port )

22.537037

89

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53

90

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null

0.380952

0

null

0

null

0

1

0

1

0b9b80c225b518a078b36396f1fbccc56916e124

738

py

Python

server/waitFramerate.py

mboerwinkle/RingGame

5a9b6a6ea394c1e88689fa062d4d348383ab406a

[ "MIT" ]

null

server/waitFramerate.py

mboerwinkle/RingGame

5a9b6a6ea394c1e88689fa062d4d348383ab406a

[ "MIT" ]

null

server/waitFramerate.py

mboerwinkle/RingGame

5a9b6a6ea394c1e88689fa062d4d348383ab406a

[ "MIT" ]

null

import time #Timing stuff lastTime = None prevFrameTime = 0; def waitFramerate(T): #TODO if we have enough time, call the garbage collector global lastTime, prevFrameTime ctime = time.monotonic() if lastTime: frameTime = ctime-lastTime #how long the last frame took sleepTime = T-frameTime #how much time is remaining in target framerate if prevFrameTime > frameTime and prevFrameTime > 1.2*T: print("Peak frame took "+str(prevFrameTime)[:5]+"/"+str(int(1.0/prevFrameTime))+" FPS (Target "+str(T)[:5]+")") if(sleepTime <= 0): #we went overtime. set start of next frame to now, and continue lastTime = ctime else: lastTime = lastTime+T time.sleep(sleepTime) prevFrameTime = frameTime else: lastTime = ctime

32.086957

114

0.720867

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738

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0

null

0

null

0

1

0

1

0baeb09b96866048e3277bdd11b177c6f437a60e

1,217

py

Python

01-Exercicios/Aula001/Ex2.py

AmandaRH07/Python_Entra21

4084962508f1597c0498d8b329e0f45e2ac55302

[ "MIT" ]

null

01-Exercicios/Aula001/Ex2.py

AmandaRH07/Python_Entra21

4084962508f1597c0498d8b329e0f45e2ac55302

[ "MIT" ]

null

01-Exercicios/Aula001/Ex2.py

AmandaRH07/Python_Entra21

4084962508f1597c0498d8b329e0f45e2ac55302

[ "MIT" ]

null

#--- Exercício 2 - Variáveis #--- Crie um menu para um sistema de cadastro de funcionários #--- O menu deve ser impresso com a função format() #--- As opções devem ser variáveis do tipo inteiro #--- As descrições das opções serão: #--- Cadastrar funcionário #--- Listar funcionários #--- Editar funcionário #--- Deletar funcionário #--- Sair #--- Além das opções o menu deve conter um cabeçalho e um rodapé #--- Entre o cabeçalho e o menu e entre o menu e o rodapé deverá ter espaçamento de 3 linhas #--- Deve ser utilizado os caracteres especiais de quebra de linha e de tabulação opcao = int(input(""" SISTEMA DE CADASTRO DE FUNCIONARIO\n\n\n {} - Cadastrar Funcionário {} - Listar Funcinários {} - Editar Funcionário {} - Deletar Funcionário {} - Sair\n\n\n Escolha uma opção: """.format(1,2,3,4,5))) if opcao == 1: print("A opção escolhida foi 'Cadastrar funcionário'") elif opcao == 2: print("A opção escolhida foi 'Listar funcionários'") elif opcao == 3: print("A opção escolhida foi 'Editar funcionário'") elif opcao == 4: print("A opção escolhida foi 'Deletar funcionário'") elif opcao == 5: print("A opção escolhida foi 'Sair'") else: pass

32.891892

92

0.676253

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1,217

4.812866

0.415205

0.036452

0.066829

0.121507

0.234508

0

0.012435

0.207067

1,217

36

93

33.805556

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0.470008

0

0.638669

0

1

0

false

0.05

0

0.25

0

null

0

1

0

null

0

1

0bb4673a2136b7bf006e51e515e0e3d35ea020dd

417

py

Python

nlu_hyperopt/space.py

JulianGerhard21/nlu-hyperopt

3d16fda97fa7cf1337b19395a57780e6e2dc9bd3

[ "Apache-2.0" ]

null

nlu_hyperopt/space.py

JulianGerhard21/nlu-hyperopt

3d16fda97fa7cf1337b19395a57780e6e2dc9bd3

[ "Apache-2.0" ]

null

nlu_hyperopt/space.py

JulianGerhard21/nlu-hyperopt

3d16fda97fa7cf1337b19395a57780e6e2dc9bd3

[ "Apache-2.0" ]

1

2021-07-08T11:40:27.000Z

from hyperopt import hp # Define the search space here, e.g. # from hyperopt.pyll.base import scope # search_space = { # 'epochs': hp.qloguniform('epochs', 0, 4, 2), # 'max_df': hp.uniform('max_df', 1, 2), # 'max_ngrams': scope.int(hp.quniform('max_ngram', 3, 9, 1)) # } # Default search space: Try different numbers of training epochs. search_space = {"epochs": hp.qloguniform("epochs", 0, 4, 2)}

29.785714

65

0.654676

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417

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0.164794

0.127341

0.142322

0.292135

0

0.032164

0.179856

417

13

66

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0

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0

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0

0.5

0

null

0

null

0

1

0

1

0bb56b74527c4ab3380dff7d3851c648cd78de0c

347

py

Python

src/workflows/__init__.py

stufisher/python-workflows

f1f67bb56a0f8a6820762f68e2e59ade2da60a95

[ "BSD-3-Clause" ]

null

src/workflows/__init__.py

stufisher/python-workflows

f1f67bb56a0f8a6820762f68e2e59ade2da60a95

[ "BSD-3-Clause" ]

null

src/workflows/__init__.py

stufisher/python-workflows

f1f67bb56a0f8a6820762f68e2e59ade2da60a95

[ "BSD-3-Clause" ]

null

__version__ = "2.18" def version(): """Returns the version number of the installed workflows package.""" return __version__ class Error(Exception): """Common class for exceptions deliberately raised by workflows package.""" class Disconnected(Error): """Indicates the connection could not be established or has been lost."""

23.133333

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347

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0.131687

0

0.010526

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347

14

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0.842105

0.576369

0

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1

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false

0

0.8

0

null

0

null

0

1

0

1

0bc0f8ad9a5e857c61031c1ca0a45f2bb10b8808

783

py

Python

Exareme-Docker/src/mip-algorithms/HEALTH_CHECK/global.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

Exareme-Docker/src/mip-algorithms/HEALTH_CHECK/global.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

Exareme-Docker/src/mip-algorithms/HEALTH_CHECK/global.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

import sys import json from os import path from argparse import ArgumentParser sys.path.append(path.dirname(path.dirname(path.abspath(__file__))) + '/utils/') from algorithm_utils import set_algorithms_output_data from health_check_lib import HealthCheckLocalDT def main(): # Parse arguments parser = ArgumentParser() parser.add_argument('-local_step_dbs', required=True, help='Path to local db.') args, unknown = parser.parse_known_args() local_dbs = path.abspath(args.local_step_dbs) local_out = HealthCheckLocalDT.load(local_dbs) nodes = {} nodes["active_nodes"] = local_out.get_data() # Return the algorithm's output set_algorithms_output_data(json.dumps(nodes)) if __name__ == '__main__': main()

27.964286

84

0.715198

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783

5.26

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0.057034

0.087452

0

0.186462

783

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85

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false

0

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0

0.388889

0

null

0

null

0

1

0

1

e7ea14302b331a9466a14df8ced10e7042b53923

7,081

py

Python

core/data/dataloader/upb_kitti.py

nemodrive/awesome-semantic-segmentation-pytorch

fa0e4174004822ace0560cc046c2fbdb81f1e1b9

[ "Apache-2.0" ]

null

core/data/dataloader/upb_kitti.py

nemodrive/awesome-semantic-segmentation-pytorch

fa0e4174004822ace0560cc046c2fbdb81f1e1b9

[ "Apache-2.0" ]

null

core/data/dataloader/upb_kitti.py

nemodrive/awesome-semantic-segmentation-pytorch

fa0e4174004822ace0560cc046c2fbdb81f1e1b9

[ "Apache-2.0" ]

null

"""Pascal VOC Semantic Segmentation Dataset.""" import os import torch import numpy as np from PIL import Image from .segbase import SegmentationDataset class VOCSegmentation(SegmentationDataset): """Pascal VOC Semantic Segmentation Dataset. Parameters ---------- root : string Path to VOCdevkit folder. Default is './datasets/VOCdevkit' split: string 'train', 'val' or 'test' transform : callable, optional A function that transforms the image Examples -------- >>> from torchvision import transforms >>> import torch.utils.data as data >>> # Transforms for Normalization >>> input_transform = transforms.Compose([ >>> transforms.ToTensor(), >>> transforms.Normalize([.485, .456, .406], [.229, .224, .225]), >>> ]) >>> # Create Dataset >>> trainset = VOCSegmentation(split='train', transform=input_transform) >>> # Create Training Loader >>> train_data = data.DataLoader( >>> trainset, 4, shuffle=True, >>> num_workers=4) """ BASE_DIR = 'labels' NUM_CLASS = 1 # 1 for soft labels def __init__(self, root='/HDD1_2TB/storage/kitti_self_supervised_labels', split='train', mode=None, transform=None, **kwargs): super(KITTISegmentation, self).__init__(root, split, mode, transform, **kwargs) _voc_root = os.path.join(root, self.BASE_DIR) _mask_dir = os.path.join(_voc_root, 'SegmentationClass')#os.path.join(_voc_root, 'JPEGImages') _image_dir = os.path.join(_voc_root, 'JPEGImages') _path_mask_dir = os.path.join(_voc_root, 'SoftRoadGaussianLabels')#os.path.join(_voc_root, 'JPEGImages') # train/val/test splits are pre-cut _splits_dir = os.path.join(_voc_root, 'ImageSets/Segmentation') if split == 'train': _split_f = os.path.join(_splits_dir, 'train') elif split == 'val': _split_f = os.path.join(_splits_dir, 'val') #'val_upb.txt'; with info has the files that are synched with the steering info files elif split == 'test': _split_f = os.path.join(_splits_dir, 'test') else: raise RuntimeError('Unknown dataset split.') self.images = [] self.masks = [] self.path_masks = [] self.cmds = [] with open(os.path.join(_split_f), "r") as lines: for line in lines: file_name = line.split(',')[0] cmd = line.split(',')[1] _image = os.path.join(_image_dir, file_name) assert os.path.isfile(_image) _path_mask = os.path.join(_path_mask_dir, file_name.replace('/', '\\')) # doar filename pt eval assert os.path.isfile(_path_mask) self.images.append(_image) self.path_masks.append(_path_mask) self.cmds.append(cmd) if split != 'test': _mask = os.path.join(_mask_dir, file_name.replace('/', '\\')) # doar filename pt eval assert os.path.isfile(_mask) self.masks.append(_mask) if split != 'test': assert (len(self.images) == len(self.masks)) print('Found {} images in the folder {}'.format(len(self.images), _voc_root)) def __getitem__(self, index): img = Image.open(self.images[index]).convert('RGB') # print(self.cmds[index]) # img.show() # time.sleep(8) if self.mode == 'test': img = self._img_transform(img) if self.transform is not None: img = self.transform(img) return img, os.path.basename(self.images[index]) mask = Image.open(self.masks[index]).quantize(self.num_class + 1) # 1 for train or 2 for eval path_mask = Image.open(self.path_masks[index]).convert('RGB') # path_mask = np.load(self.path_masks[index], allow_pickle=True) # path_mask = Image.fromarray(path_mask) # mask.show() # time.sleep(5) # synchronized transform if self.mode == 'train': img, mask, path_mask = self._sync_transform(img, mask, path_mask) elif self.mode == 'val': img, mask, path_mask = self._val_sync_transform(img, mask, path_mask) else: assert self.mode == 'testval' img, mask = self._img_transform(img), self._mask_transform(mask) # general resize, normalize and toTensor if self.transform is not None: img = self.transform(img) path_mask = transforms.ToTensor()(path_mask) path_mask = path_mask[1].unsqueeze(0) if path_mask.max() != 0: path_mask = path_mask / path_mask.max() return img, mask, path_mask, self.images[index]# os.path.basename(self.images[index]) def __len__(self): return len(self.images) def _mask_transform(self, mask): target = np.array(mask).astype('int32') target[target == 255] = -1 return torch.from_numpy(target).long() @property def classes(self): """Category names.""" return ('path', 'rest') class KITTIImageSampler(Sampler): def __init__(self, image_data, prob_weights): self.image_data = image_data # Get dataset length in terms of video frames and start frame for each video self.start_frames = [] self.len = len(image_data) self.seen = 0 self.samples_cmd = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []} self.samples_idx = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0} self._population = [0, 1, 2, 3, 4, 5] self._weights = prob_weights self._split_samples() for key in self.samples_cmd.keys(): np.random.shuffle(self.samples_cmd[key]) def __len__(self): return self.len def __iter__(self): return self def next(self): return self.__next__() def __next__(self): # added this while because samples_cmd[sample_type] could be empty while True: sample_type = np.random.choice(self._population, p=self._weights) if self.samples_cmd[sample_type]: break idx = self.samples_cmd[sample_type][self.samples_idx[sample_type]] self.samples_idx[sample_type] += 1 if self.samples_idx[sample_type] >= len(self.samples_cmd[sample_type]): self.samples_idx[sample_type] = 0 np.random.shuffle(self.samples_cmd[sample_type]) self.seen += 1 if self.seen >= self.len: for key in self.samples_cmd.keys(): np.random.shuffle(self.samples_cmd[key]) self.samples_idx[key] = 0 self.seen = 0 raise StopIteration return idx def _split_samples(self): index = 0 for j in range(len(self.image_data)): cmd = self.image_data[j] self.samples_cmd[cmd].append(index) index += 1 if __name__ == '__main__': dataset = KITTISegmentation()

36.880208

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0.591018

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7,081

4.550228

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0.044155

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0.223281

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0

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0.282587

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0.04065

null

0.00813

0

null

0

null

0

1

0

1

e7ee6d842483ab8133f076264eb1658607e7ec98

5,558

py

Python

FMWKubernetesMAA/OracleEnterpriseDeploymentAutomation/OracleWebCenterSites/charts/wc-sites/unicast.py

rishiagarwal-oracle/fmw-kubernetes

cf53d0aac782cacaa26cb1f8f1cdb7130f69d64f

[ "UPL-1.0", "MIT" ]

null

FMWKubernetesMAA/OracleEnterpriseDeploymentAutomation/OracleWebCenterSites/charts/wc-sites/unicast.py

rishiagarwal-oracle/fmw-kubernetes

cf53d0aac782cacaa26cb1f8f1cdb7130f69d64f

[ "UPL-1.0", "MIT" ]

null

FMWKubernetesMAA/OracleEnterpriseDeploymentAutomation/OracleWebCenterSites/charts/wc-sites/unicast.py

rishiagarwal-oracle/fmw-kubernetes

cf53d0aac782cacaa26cb1f8f1cdb7130f69d64f

[ "UPL-1.0", "MIT" ]

null

# Copyright (c) 2022, Oracle and/or its affiliates. # # Licensed under the Universal Permissive License v 1.0 as shown at # https://oss.oracle.com/licenses/upl import xml.dom.minidom import re import sys def getManagedServerCount(domainHome): # use the parse() function to load and parse an XML file doc = xml.dom.minidom.parse(domainHome + "/config/config.xml") servers = doc.getElementsByTagName("server") print "Total Configured Managed Servers: %d " % (servers.length - 1) return servers.length - 1; # Method to uncomment and comment the required tag and save back def replaceXml(domainHome, ms_server): f = open(domainHome + "/config/fmwconfig/servers/" + ms_server + "/config/ticket-cache.xml","r+w") filecontent = f.read() #Uncomment the one to be used filecontent = re.sub ( r'','cas_tgt" />', filecontent,1) #Comment the one not used filecontent = re.sub ( r'<cacheManagerPeerProviderFactory','', filecontent,1) f.seek(0) f.write(filecontent) f.write("\n\n\n") f.close() # Method to replace the properties def replaceRmiUrlsInCache(domainHome, prefix, n, ms_server, excludedServerNumber, filename, port): doc = xml.dom.minidom.parse(domainHome + "/config/fmwconfig/servers/" + ms_server + "/config/" + filename) abc = doc.getElementsByTagName("cacheManagerPeerProviderFactory") processString = "peerDiscovery=manual,rmiUrls=//localhost:<port>/notifier" for element in abc: element.setAttribute("properties", processString) for x in range (1,n-1): processString = processString + "|//localhost:<port>/notifier" # We should have got the properties attribute now tokenized with localhost and 41001. Exclude 1 add the rest for i in range (1,n+1): if i <> int(excludedServerNumber): processString = re.sub ( r'localhost',prefix + str(i), processString,1) processString = re.sub ( r'<port>',str(port), processString,1) element.setAttribute("properties", processString) print(processString) ghi = doc.getElementsByTagName("cacheManagerPeerListenerFactory") for element in ghi: processString = element.getAttribute("properties") processString = "hostName="+prefix+ str(excludedServerNumber) +",port=" + str(port) +",remoteObjectPort=" + str(int(port)+1) + ",socketTimeoutMillis=12000" element.setAttribute("properties", processString) myfile = open(domainHome + "/config/fmwconfig/servers/" + ms_server + "/config/" + filename , "w") myfile.write(doc.toxml()) myfile.close() print("Updated " + filename) # Method to replace the properties def replaceRmiUrls(domainHome, prefix, n, ms_server, excludedServerNumber, port): doc = xml.dom.minidom.parse(domainHome + "/config/fmwconfig/servers/" + ms_server + "/config/ticket-cache.xml") abc = doc.getElementsByTagName("cacheManagerPeerProviderFactory") processString = "" for element in abc: processString = element.getAttribute("properties") for x in range (1,n-1): processString = processString + "|//localhost:41001/cas_st|//localhost:41001/cas_tgt" # We should have got the properties attribute now tokenized with localhost and 41001. Exclude 1 add the rest for i in range (1,n+1): if i <> int(excludedServerNumber): processString = re.sub ( r'localhost',prefix + str(i), processString,1) processString = re.sub ( r'41001',str(port), processString,1) processString = re.sub ( r'localhost',prefix + str(i), processString,1) processString = re.sub ( r'41001',str(port), processString,1) element.setAttribute("properties", processString) print(processString) ghi = doc.getElementsByTagName("cacheManagerPeerListenerFactory") for element in ghi: processString = element.getAttribute("properties") processString = "hostName=" + prefix + str(excludedServerNumber) + ",port=" + str(port) + ",remoteObjectPort=" + str(int(port)+1) + ",socketTimeoutMillis=12000" element.setAttribute("properties", processString) myfile = open(domainHome + "/config/fmwconfig/servers/" + ms_server + "/config/ticket-cache.xml", "w") myfile.write(doc.toxml()) myfile.close() print("Updated " + "ticket-cache.xml") def main(): # count the arguments arguments = len(sys.argv) - 1 print ("The script is called with %i arguments" % (arguments)) domainHome = sys.argv[1] serverPrefix = sys.argv[2] ms_server = sys.argv[3] port = sys.argv[4] excludedServerNumber = ms_server[-1] print("Host prefix set to " + serverPrefix) print("Managed Server set to - " + ms_server) print("Excluded Server Number set to - " + excludedServerNumber) print("Starting port set to - " + port) replaceXml(domainHome, ms_server) servercount = getManagedServerCount(domainHome) replaceRmiUrls(domainHome, serverPrefix, servercount, ms_server, excludedServerNumber, port) replaceRmiUrlsInCache(domainHome, serverPrefix, servercount, ms_server, excludedServerNumber, "linked-cache.xml", int(port) + 2) replaceRmiUrlsInCache(domainHome, serverPrefix, servercount, ms_server, excludedServerNumber, "cs-cache.xml", int(port) + 4) replaceRmiUrlsInCache(domainHome, serverPrefix, servercount, ms_server, excludedServerNumber, "cas-cache.xml", int(port) + 6 ) replaceRmiUrlsInCache(domainHome, serverPrefix, servercount, ms_server, excludedServerNumber, "ss-cache.xml", int(port) + 8 ) if __name__ == "__main__": # calling main function main()

45.933884

161

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0.239329

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5,558

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null

0

0.034091

null

0.113636

0

null

0

null

0

1

0

1

e7f60dd013f54bbf4fa181ff948f295cdc87e462

1,893

py

Python

tests/mock_dbcli_config.py

bluelabsio/db-facts

fc8faa59f450a5cc00a0e50160ca57e47291b375

[ "Apache-2.0" ]

2

2020-11-25T20:11:50.000Z

2020-12-12T18:39:09.000Z

tests/mock_dbcli_config.py

bluelabsio/db-facts

fc8faa59f450a5cc00a0e50160ca57e47291b375

[ "Apache-2.0" ]

5

2020-01-24T15:05:50.000Z

2020-02-29T13:34:40.000Z

tests/mock_dbcli_config.py

bluelabsio/db-facts

fc8faa59f450a5cc00a0e50160ca57e47291b375

[ "Apache-2.0" ]

1

2021-05-16T17:07:40.000Z

mock_dbcli_config = { 'exports_from': { 'lpass': { 'pull_lastpass_from': "{{ lastpass_entry }}", }, 'lpass_user_and_pass_only': { 'pull_lastpass_username_password_from': "{{ lastpass_entry }}", }, 'my-json-script': { 'json_script': [ 'some-custom-json-script' ] }, 'invalid-method': { }, }, 'dbs': { 'baz': { 'exports_from': 'my-json-script', }, 'bing': { 'exports_from': 'invalid-method', }, 'bazzle': { 'exports_from': 'lpass', 'lastpass_entry': 'lpass entry name' }, 'bazzle-bing': { 'exports_from': 'lpass', 'lastpass_entry': 'different lpass entry name' }, 'frazzle': { 'exports_from': 'lpass', 'lastpass_entry': 'lpass entry name' }, 'frink': { 'exports_from': 'lpass_user_and_pass_only', 'lastpass_entry': 'lpass entry name', 'jinja_context_name': 'standard', 'exports': { 'some_additional': 'export', 'a_numbered_export': 123 }, }, 'gaggle': { 'jinja_context_name': [ 'env', 'base64', ], 'exports': { 'type': 'bigquery', 'protocol': 'bigquery', 'bq_account': 'bq_itest', 'bq_service_account_json': "{{ env('ITEST_BIGQUERY_SERVICE_ACCOUNT_JSON_BASE64') | b64decode }}", 'bq_default_project_id': 'bluelabs-tools-dev', 'bq_default_dataset_id': 'bq_itest', }, }, }, 'orgs': { 'myorg': { 'full_name': 'MyOrg', }, }, }

28.253731

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0.43159

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1,893

5.255172

0.406897

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0.094488

0.238845

0.112861

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0.008212

0.421025

1,893

66

87

28.681818

0.687044

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0.106061

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0.445325

0.116746

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false

0.181818

0

null

0

null

0

1

0

1

e7fca0855906e19926ef43a259b033f9d1d6ddb0

542

py

Python

transform/indexed_transform.py

cviaai/unsupervised-heartbeat-anomaly-detection

3586bf505256463c030422607e95e4cee40fa086

[ "MIT" ]

2

2020-10-14T05:50:25.000Z

2021-05-11T03:42:02.000Z

transform/indexed_transform.py

cviaai/unsupervised-heartbeat-anomaly-detection

3586bf505256463c030422607e95e4cee40fa086

[ "MIT" ]

null

transform/indexed_transform.py

cviaai/unsupervised-heartbeat-anomaly-detection

3586bf505256463c030422607e95e4cee40fa086

[ "MIT" ]

null

from typing import Tuple, List from transform.transformer import TimeSeriesTransformer import numpy as np class IndexedTransformer: def __init__(self, transformer: TimeSeriesTransformer, padding: int, step: int): self.transformer = transformer self.padding = padding self.step = step def __call__(self, data: np.ndarray) -> Tuple[List[int], np.ndarray]: tr_data = self.transformer(data) indices = [self.padding + i * self.step for i in range(len(tr_data))] return indices, tr_data

30.111111

84

0.695572

67

542

5.462687

0.447761

0.122951

0

0.215867

542

17

85

31.882353

0.861176

0

1

0.166667

false

0

0.25

0

0.583333

0

null

0

null

0

1

0

1

e7fca20cce05d1364eee53a17bec476012eb661d

2,177

py

Python

dropconnect/combine_pred_mod.py

zygmuntz/kaggle-cifar

16936af9cf621d668c50491291e042a7849a1ac3

[ "BSD-2-Clause" ]

26

2015-01-12T18:00:50.000Z

2020-12-19T23:49:16.000Z

dropconnect/combine_pred_mod.py

zygmuntz/kaggle-cifar

16936af9cf621d668c50491291e042a7849a1ac3

[ "BSD-2-Clause" ]

null

dropconnect/combine_pred_mod.py

zygmuntz/kaggle-cifar

16936af9cf621d668c50491291e042a7849a1ac3

[ "BSD-2-Clause" ]

26

2015-01-10T22:35:01.000Z

2020-01-15T08:56:53.000Z

#------------------------------------------ # this script combine result of different # nets and report final result #------------------------------------------ import sys import numpy as np from util import pickle, unpickle def evaluate_result( result, text ): # pre-condition check num_batches = len( result['labels'] ) assert( num_batches == len(result['labels']) ) # compute error num_cases = 0 num_wrong = 0 for ii in range( num_batches ): act_index = result['labels'][ii] num_cases_ii = act_index.shape[0] assert( num_cases_ii == result['preds'][ii].shape[0] ) num_cases += num_cases_ii pred_index = np.argmax( result['preds'][ii], 1 ) for jj in range( num_cases_ii ): if pred_index[jj] != act_index[jj]: num_wrong += 1 print text + "----Testing Error: %2.4f" % ( 1.0 *num_wrong / num_cases ) return ( 1.0 *num_wrong / num_cases ) def main(): num_args = len(sys.argv) # load result from file num_nets = num_args - 1 assert( num_nets > 0 ) errors = [] # 0th net # result['labels'] # result['preds'] result = unpickle( sys.argv[1] ) errors.append( evaluate_result( result, sys.argv[1] ) ) num_batches = len( result['labels'] ) #import pdb; pdb.set_trace() # collet all results for ii in range( num_nets - 1 ): result_ii = unpickle( sys.argv[ii+2] ) # evaluate result_ii errors.append( evaluate_result( result_ii, sys.argv[ii+2] ) ) # check num of batches is consistant num_batches_ii = len( result_ii['labels'] ) for jj in range( num_batches ): # check label is consistant assert( np.array_equal( result_ii['labels'][jj], result['labels'][jj] ) ) # nc result['pred'][jj] result['preds'][jj] += result_ii['preds'][jj] pickle( 'combine_result', result ) # classifier mean/std accuracy errors = np.array( errors ) #import pdb; pdb.set_trace() print "mean: " , str(100*np.mean( errors )) , " std: " , str(100*(np.std( errors ))) # evaluate result evaluate_result( result, "After combine" ) if __name__ == "__main__": main()

30.661972

87

0.592559

291

2,177

4.243986

0.281787

0.051822

0.064777

0.046154

0.222672

0.02915

0

0.015682

0.238401

2,177

70

88

31.1

0.729192

0.216812

0

0.04878

0

0.078885

0

0.097561

0

null

0

0.073171

null

0.04878

0

null

0

null

0

1

0

1

e7fcb403c125d5647a5fdcb4339ffbade5bc81e8

1,556

py

Python

goless/__init__.py

ctismer/goless

02168a40902691264b32c7da6f453819ed7a91cf

[ "Apache-2.0" ]

1

2015-05-28T03:12:47.000Z

goless/__init__.py

ctismer/goless

02168a40902691264b32c7da6f453819ed7a91cf

[ "Apache-2.0" ]

null

goless/__init__.py

ctismer/goless

02168a40902691264b32c7da6f453819ed7a91cf

[ "Apache-2.0" ]

null

""" ``goless`` introduces go-like channels and select to Python, built on top of Stackless Python (and maybe one day gevent). Use :func:`goless.chan` to create a synchronous or buffered channel. Use :func:`goless.select` like you would the ``Select`` function in Go's reflect package (since Python lacks a switch/case statement, replicating Go's select statement syntax wasn't very effective). """ import logging import sys import traceback from .backends import current as _be # noinspection PyUnresolvedReferences from .channels import chan, ChannelClosed # noinspection PyUnresolvedReferences from .selecting import dcase, rcase, scase, select version_info = 0, 0, 1 version = '.'.join([str(v) for v in version_info]) def on_panic(etype, value, tb): """ Called when there is an unhandled error in a goroutine. By default, logs and exits the process. """ logging.critical(traceback.format_exception(etype, value, tb)) _be.propagate_exc(SystemExit, 1) def go(func, *args, **kwargs): """ Run a function in a new tasklet, like a goroutine. If the goroutine raises an unhandled exception (*panics*), the :func:`goless.on_panic` will be called, which by default logs the error and exits the process. :param args: Positional arguments to ``func``. :param kwargs: Keyword arguments to ``func``. """ def safe_wrapped(f): # noinspection PyBroadException try: f(*args, **kwargs) except: on_panic(*sys.exc_info()) _be.start(safe_wrapped, func)

30.509804

88

0.703728

215

1,556

5.032558

0.534884

0.027726

0.02403

0.033272

0

0.00321

0.199229

1,556

50

89

31.12

0.865169

0.572622

0

0.001664

0

1

0.166667

false

0

0.333333

0

0.5

0

null

0

null

0

1

0

1

e7fcf109cce1b1c57ca682a8b6f5606efb8ee46b

643

py

Python

data/test1.py

moses-alexander/simple-python-parser

a15f53a86d61fa5d98f5ade149d8c3a178ebfb50

[ "BSD-3-Clause" ]

null

data/test1.py

moses-alexander/simple-python-parser

a15f53a86d61fa5d98f5ade149d8c3a178ebfb50

[ "BSD-3-Clause" ]

null

data/test1.py

moses-alexander/simple-python-parser

a15f53a86d61fa5d98f5ade149d8c3a178ebfb50

[ "BSD-3-Clause" ]

null

1+2 3+5 7+8 6>7 abs(-3) if 8 < 9: min(3,5) else 4 < 5: abs(-2) else 4 > 5: max(3, 7) round(2.1) round(3.6) len("jfdgge") type(4) any(1, 3, 4) any(0.0, 0.0, 0.0) all("abc", "a") all(0, 1) bin(45) lower("ABC") upper("abc") join("abc", "abc") bool(0) bool("abc") ord('r') chr(100) str(130) globals() help() hex(15) oct(27) pow(4,2) sum(1,2, 3) id(4) id("abc") not False none() none(0) # breaks here ... for now b = 1 print("a", b); print(); a = 5 #def append_element(self, val): newest =__Node(val);newestprev = self__trailerprev;self__trailerprevnext = newest;self__trailerprev = newest;newestnext = self__trailer;self__size = self__size + 1;

14.613636

196

0.62986

132

643

2.954545

0.5

0.025641

0.030769

0.015385

0

0.107078

0.143079

643

43

197

14.953488

0.600726

0.339036

0

0.07109

0

null

0

null

0.025641

0

null

0

null

0

1

0

1

e7ffb07502a866daacad535d6c162c3df47ed0fa

1,075

py

Python

001-050/029-divide-two-integers.py

bbram10/leetcode-master

565f5f0cb3c9720e59a78ddf2e5e6e829c70bac6

[ "MIT" ]

134

2017-01-16T11:17:44.000Z

2022-03-16T17:13:26.000Z

001-050/029-divide-two-integers.py

bbram10/leetcode-master

565f5f0cb3c9720e59a78ddf2e5e6e829c70bac6

[ "MIT" ]

1

2019-11-18T02:10:51.000Z

001-050/029-divide-two-integers.py

bbram10/leetcode-master

565f5f0cb3c9720e59a78ddf2e5e6e829c70bac6

[ "MIT" ]

54

2017-07-17T01:24:00.000Z

2022-02-06T05:28:44.000Z

""" STATEMENT Divide two integers without using multiplication, division and mod operator. CLARIFICATIONS - Do I have to handle 32-bit integer overflow? Yes, return the MAX_INT in that case. - Can the divisor be zero? Yes, return the MAX_INT. EXAMPLES 34/3 -> 11 COMMENTS - This solution is by tusizi in Leetcode (picked up from https://discuss.leetcode.com/topic/8714/clear-python-code) """ def divide(dividend, divisor): """ :type dividend: int :type divisor: int :rtype: int """ sign = (dividend < 0) is (divisor < 0) dividend, divisor = abs(dividend), abs(divisor) INT_MIN, INT_MAX = -2147483648, 2147483647 if (not divisor) or (dividend < INT_MIN and divisor == -1): return INT_MAX to_return = 0 while dividend >= divisor: temp, i = divisor, 1 while dividend >= temp: dividend -= temp to_return += i i <<= 1 temp <<= 1 if not sign: to_return = -to_return return min(max(INT_MIN, to_return), INT_MAX)

27.564103

115

0.613953

144

1,075

4.493056

0.493056

0.061824

0.037094

0.046368

0.055641

0

0.049673

0.288372

1,075

38

116

28.289474

0.796078

0

null

0

null

0

null

0

null

0

1

0

1

f000c275681d6eb860ca8edd89619bd04e3efa9d

508

py

Python

conv/setup.py

hughpyle/GW-BASIC

f0c1ef3c9655b36cd312d18e4620bb076f03afd3

[ "MIT" ]

26

2020-05-23T18:09:05.000Z

2022-01-30T10:07:04.000Z

conv/setup.py

hughpyle/GW-BASIC

f0c1ef3c9655b36cd312d18e4620bb076f03afd3

[ "MIT" ]

1

2020-06-25T06:20:01.000Z

conv/setup.py

hughpyle/GW-BASIC

f0c1ef3c9655b36cd312d18e4620bb076f03afd3

[ "MIT" ]

4

2020-05-23T12:36:44.000Z

2022-01-16T00:20:20.000Z

from setuptools import setup, find_packages """ https://tia.mat.br/posts/2020/06/21/converting-gwbasic-to-z80.html """ setup( name="z80conv", version='0.0.1', author="lp", description="Porting GW-BASIC from 8086 back to the Z80", license="GPLv2", packages=find_packages(), long_description="Porting GW-BASIC from 8086 back to the Z80", install_requires=[], tests_require=['pytest'], entry_points = { 'console_scripts': ['z80conv=z80conv.conv:main'], } )

24.190476

66

0.661417

67

508

4.910448

0.701493

0.072948

0.121581

0.151976

0.273556

0

0.077108

0.183071

508

20

67

25.4

0.715663

0

0.343318

0.057604

0

1

0

true

0

0.066667

0

0.066667

0

null

0

null

0

1

0

1

f00829ce69ca21d2a75d867579f5065b5c43824d

395

py

Python

lib/locator/location_test.py

alt-locator/address-locator-python

9f052dc7721223bde926723648790a17b06e9d7a

[ "MIT" ]

null

lib/locator/location_test.py

alt-locator/address-locator-python

9f052dc7721223bde926723648790a17b06e9d7a

[ "MIT" ]

null

lib/locator/location_test.py

alt-locator/address-locator-python

9f052dc7721223bde926723648790a17b06e9d7a

[ "MIT" ]

null

import location import unittest class LocationTest(unittest.TestCase): def testToJson(self): test_location = location.Location(name='foo', local_ip_address={'en0': {'local_ip_address': '1.2.3.4'}}) test_json = test_location.to_json() self.assertEqual(test_json['name'], 'foo') self.assertEqual(test_json['local_ip_address']['en0']['local_ip_address'], '1.2.3.4')

30.384615

78

0.698734

55

395

4.763636

0.418182

0.10687

0.21374

0.129771

0.267176

0

0.02924

0.134177

395

12

79

32.916667

0.736842

0

0.197468

0

0.2

1

0.1

false

0

0.2

0

0.4

0

null

0

1

0

null

0

1

f00b1f413db4083c2b4c12dfb8af15b799f387ae

2,288

py

Python

mtconnect/mtconnect_ros_bridge/scripts/closedoor.py

mtconnect/ros_bridge

b578e8c3edca83ea0de8ed15aff0f7733dd23e04

[ "Apache-2.0" ]

5

2015-04-30T21:51:46.000Z

2019-03-18T06:24:38.000Z

mtconnect/mtconnect_ros_bridge/scripts/closedoor.py

CubeSpawn/ros_bridge

b578e8c3edca83ea0de8ed15aff0f7733dd23e04

[ "Apache-2.0" ]

null

mtconnect/mtconnect_ros_bridge/scripts/closedoor.py

CubeSpawn/ros_bridge

b578e8c3edca83ea0de8ed15aff0f7733dd23e04

[ "Apache-2.0" ]

4

2016-02-21T20:04:31.000Z

2021-01-04T13:48:41.000Z

#! /usr/bin/env python """ Copyright 2013 Southwest Research Institute 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. """ import roslib; roslib.load_manifest('mtconnect_msgs') import rospy # Brings in the SimpleActionClient import actionlib # Brings in the messages used by the material_load action. import mtconnect_msgs.msg def close_door_client(): rospy.loginfo('Launched CloseDoor Action CLient') # Creates the SimpleActionClient, passing the type of the action # (CloseDoorAction) to the constructor. client = actionlib.SimpleActionClient('CloseDoorClient', mtconnect_msgs.msg.CloseDoorAction) # Waits until the action server has started up and started listening for goals. rospy.loginfo('Waiting for Generic Action Server') client.wait_for_server() rospy.loginfo('Generic Action Server Activated') # Creates a DoorAcknowledge goal to send to the action server. goal = mtconnect_msgs.msg.CloseDoorGoal() goal.close_door = 'CLOSED' # Sends the goal to the action server. rospy.loginfo('Sending the goal') client.send_goal(goal) # Waits for the server to finish performing the action. rospy.loginfo('Waiting for result') client.wait_for_result() # Obtain result result = client.get_result() # result must be a string rospy.loginfo('Returning the result --> %s' % result) return if __name__ == '__main__': try: # Initializes a rospy node so that the SimpleActionClient can # publish and subscribe over ROS. rospy.init_node('CloseDoorActionClient') result = close_door_client() rospy.loginfo('Action Result --> %s' % result) except rospy.ROSInterruptException: print 'program interrupted before completion'

34.666667

96

0.723776

297

2,288

5.488215

0.491582

0.051534

0.029448

0.019632

0.033129

0

0.004403

0.205857

2,288

65

97

35.2

0.89268

0.25

0

0.254579

0.019231

0

null

0

0.153846

null

0.038462

0

null

0

null

0

1

0

1

f00d8a2ff37a2b007fa4edfda74f6d8657793532

3,684

py

Python

piton/lib/inquirer/questions.py

piton-package-manager/PPM

19015b76184befe1e2daa63189a13b039787868d

[ "MIT" ]

19

2016-04-08T04:00:07.000Z

2021-11-12T19:36:56.000Z

piton/lib/inquirer/questions.py

LookLikeAPro/PPM

19015b76184befe1e2daa63189a13b039787868d

[ "MIT" ]

9

2017-01-03T13:39:47.000Z

2022-01-15T20:38:20.000Z

piton/lib/inquirer/questions.py

LookLikeAPro/PPM

19015b76184befe1e2daa63189a13b039787868d

[ "MIT" ]

6

2017-04-01T03:38:45.000Z

2021-05-06T11:25:31.000Z

# -*- coding: utf-8 -*- """ Module that implements the questions types """ import json from . import errors def question_factory(kind, *args, **kwargs): for clazz in (Text, Password, Confirm, List, Checkbox): if clazz.kind == kind: return clazz(*args, **kwargs) raise errors.UnknownQuestionTypeError() def load_from_dict(question_dict): """ Load one question from a dict. It requires the keys 'name' and 'kind'. :return: The Question object with associated data. :return type: Question """ return question_factory(**question_dict) def load_from_list(question_list): """ Load a list of questions from a list of dicts. It requires the keys 'name' and 'kind' for each dict. :return: A list of Question objects with associated data. :return type: List """ return [load_from_dict(q) for q in question_list] def load_from_json(question_json): """ Load Questions from a JSON string. :return: A list of Question objects with associated data if the JSON contains a list or a Question if the JSON contains a dict. :return type: List or Dict """ data = json.loads(question_json) if isinstance(data, list): return load_from_list(data) if isinstance(data, dict): return load_from_dict(data) raise TypeError( 'Json contained a %s variable when a dict or list was expected', type(data)) class TaggedValue(object): def __init__(self, label, value): self.label = label self.value = value def __str__(self): return self.label def __repr__(self): return self.value def __cmp__(self, other): if isinstance(other, TaggedValue): return self.value != other.value return self.value != other class Question(object): kind = 'base question' def __init__(self, name, message='', choices=None, default=None, ignore=False, validate=True): self.name = name self._message = message self._choices = choices or [] self._default = default self._ignore = ignore self._validate = validate self.answers = {} @property def ignore(self): return bool(self._solve(self._ignore)) @property def message(self): return self._solve(self._message) @property def default(self): return self._solve(self._default) @property def choices_generator(self): for choice in self._solve(self._choices): yield ( TaggedValue(*choice) if isinstance(choice, tuple) and len(choice) == 2 else choice ) @property def choices(self): return list(self.choices_generator) def validate(self, current): try: if self._solve(self._validate, current): return except Exception: pass raise errors.ValidationError(current) def _solve(self, prop, *args, **kwargs): if callable(prop): return prop(self.answers, *args, **kwargs) if isinstance(prop, str): return prop.format(**self.answers) return prop class Text(Question): kind = 'text' class Password(Question): kind = 'password' class Confirm(Question): kind = 'confirm' def __init__(self, name, default=False, **kwargs): super(Confirm, self).__init__(name, default=default, **kwargs) class List(Question): kind = 'list' class Checkbox(Question): kind = 'checkbox'

24.236842

72

0.604777

431

3,684

5.016241

0.236659

0.022202

0.030065

0.015726

0.123959

0.068455

0.042553

0

0.000774

0.29886

3,684

151

73

24.397351

0.836237

0.159338

0

0.053763

0

0.034907

0

1

0.182796

false

0.043011

0.021505

0.064516

0.526882

0

null

0

null

0

1

0

1

f0123837d9cb8c6159b0ec92e3dc57d8e6054cf3

704

py

Python

services/web/apps/main/pool/views.py

xUndero/noc

9fb34627721149fcf7064860bd63887e38849131

[ "BSD-3-Clause" ]

1

2019-09-20T09:36:48.000Z

services/web/apps/main/pool/views.py

ewwwcha/noc

aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb

[ "BSD-3-Clause" ]

null

services/web/apps/main/pool/views.py

ewwwcha/noc

aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # --------------------------------------------------------------------- # main.pool application # --------------------------------------------------------------------- # Copyright (C) 2007-2019 The NOC Project # See LICENSE for details # --------------------------------------------------------------------- # NOC modules from noc.lib.app.extdocapplication import ExtDocApplication from noc.main.models.pool import Pool from noc.core.translation import ugettext as _ class PoolApplication(ExtDocApplication): """ Pool application """ title = _("Pool") menu = [_("Setup"), _("Pools")] model = Pool glyph = "database" default_ordering = ["name"]

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Python

saleor/app/tests/test_models.py

fairhopeweb/saleor

9ac6c22652d46ba65a5b894da5f1ba5bec48c019

[ "CC-BY-4.0" ]

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2015-01-12T02:11:52.000Z

2021-10-05T19:19:29.000Z

saleor/app/tests/test_models.py

fairhopeweb/saleor

9ac6c22652d46ba65a5b894da5f1ba5bec48c019

[ "CC-BY-4.0" ]

7,486

2015-02-11T10:52:13.000Z

2021-10-06T09:37:15.000Z

saleor/app/tests/test_models.py

aminziadna/saleor

2e78fb5bcf8b83a6278af02551a104cfa555a1fb

[ "CC-BY-4.0" ]

5,864

2015-01-16T14:52:54.000Z

2021-10-05T23:01:15.000Z

from ...app.models import App from ...webhook.event_types import WebhookEventType def test_qs_for_event_type(payment_app): qs = App.objects.for_event_type(WebhookEventType.PAYMENT_AUTHORIZE) assert len(qs) == 1 assert qs[0] == payment_app def test_qs_for_event_type_no_payment_permissions(payment_app): payment_app.permissions.first().delete() qs = App.objects.for_event_type(WebhookEventType.PAYMENT_AUTHORIZE) assert len(qs) == 0 def test_qs_for_event_type_inactive_app(payment_app): payment_app.is_active = False payment_app.save() qs = App.objects.for_event_type(WebhookEventType.PAYMENT_AUTHORIZE) assert len(qs) == 0 def test_qs_for_event_type_no_webhook_event(payment_app): webhook = payment_app.webhooks.first() event = webhook.events.filter(event_type=WebhookEventType.PAYMENT_AUTHORIZE).first() event.delete() qs = App.objects.for_event_type(WebhookEventType.PAYMENT_AUTHORIZE) assert len(qs) == 0 def test_qs_for_event_type_inactive_webhook(payment_app): webhook = payment_app.webhooks.first() webhook.is_active = False webhook.save() qs = App.objects.for_event_type(WebhookEventType.PAYMENT_AUTHORIZE) assert len(qs) == 0

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