xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

117fdb4d8ac30e0003f9e1cef065e70ec84cf800

2,102

py

Python

day015-day058/day015/art.py

sysarghir/100-days-of-python

8edc7ce102429333d4abd80ac3f4067e4028c66d

[ "MIT" ]

null

day015-day058/day015/art.py

sysarghir/100-days-of-python

8edc7ce102429333d4abd80ac3f4067e4028c66d

[ "MIT" ]

null

day015-day058/day015/art.py

sysarghir/100-days-of-python

8edc7ce102429333d4abd80ac3f4067e4028c66d

[ "MIT" ]

null

logo = """ .d888 .d888 d88P" d88P" 888 888 .d8888b .d88b. 888888888888 .d88b. .d88b. d88P" d88""88b888 888 d8P Y8bd8P Y8b 888 888 888888 888 8888888888888888 Y88b. Y88..88P888 888 Y8b. Y8b. "Y8888P "Y88P" 888 888 "Y8888 "Y8888 """ invent = """ ooooo . . `888' .o8 .o8 888 ooo. .oo. oooo ooo .ooooo. ooo. .oo. .o888oo .ooooo. oooo d8b oooo ooo oooo d8b .ooooo. oo.ooooo. .ooooo. oooo d8b .o888oo 888 `888P"Y88b `88. .8' d88' `88b `888P"Y88b 888 d88' `88b `888""8P `88. .8' `888""8P d88' `88b 888' `88b d88' `88b `888""8P 888 888 888 888 `88..8' 888ooo888 888 888 888 888 888 888 `88..8' 888 888ooo888 888 888 888 888 888 888 o8o 888 888 888 `888' 888 .o 888 888 888 . 888 888 888 `888' 888 888 .o 888 888 888 888 888 888 . `"' o888o o888o o888o `8' `Y8bod8P' o888o o888o "888" `Y8bod8P' d888b .8' d888b `Y8bod8P' 888bod8P' `Y8bod8P' d888b "888" o8o .o..P' 888 `"' `Y8P' o888o """

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eeae125d11d7d7d011e6aaa2e5d200f6e874a49d

131

py

Python

discoutils/cogs/moderation/__init__.py

Rishiraj0100/discoutils

67da54034bf5771d7e55627c2cdcddc9f72f19a4

[ "MIT" ]

2

2021-04-09T03:27:43.000Z

2021-05-24T16:29:42.000Z

discoutils/cogs/moderation/__init__.py

Rishiraj0100/discoutils

67da54034bf5771d7e55627c2cdcddc9f72f19a4

[ "MIT" ]

null

discoutils/cogs/moderation/__init__.py

Rishiraj0100/discoutils

67da54034bf5771d7e55627c2cdcddc9f72f19a4

[ "MIT" ]

1

2021-03-20T14:23:28.000Z

def setup(bot): bot.load_extension("discoutils.cogs.moderation.message") bot.load_extension("discoutils.cogs.moderation.user")

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7

0112ae5bdfb453e5356b3a25dba0100d081f6687

10,282

py

Python

pybatch/test/test_conditionalBatchCommands.py

Nizarazo/instl

d04e9aede292caa1174447189a423726fa3bb97f

[ "BSD-3-Clause" ]

null

pybatch/test/test_conditionalBatchCommands.py

Nizarazo/instl

d04e9aede292caa1174447189a423726fa3bb97f

[ "BSD-3-Clause" ]

null

pybatch/test/test_conditionalBatchCommands.py

Nizarazo/instl

d04e9aede292caa1174447189a423726fa3bb97f

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3.6 import unittest import logging log = logging.getLogger(__name__) from pybatch import * from .test_PythonBatchBase import * class TestPythonBatchConditional(unittest.TestCase): def __init__(self, which_test): super().__init__(which_test) self.pbt = TestPythonBatch(self, which_test) def setUp(self): self.pbt.setUp() def tearDown(self): self.pbt.tearDown() def test_If_repr(self): list_of_objs = list() the_condition = True list_of_objs.append(If(the_condition, if_true=Touch("hootenanny"), if_false=Touch("hootebunny"))) list_of_objs.append(If(Path("/mama/mia/here/i/go/again").exists(), if_true=Touch("hootenanny"), if_false=Touch("hootebunny"))) list_of_objs.append(If("2 == 1+1", if_true=Touch("hootenanny"), if_false=Touch("hootebunny"))) self.pbt.reprs_test_runner(*list_of_objs) def test_If_Eq(self): file_that_should_exist_if_true = self.pbt.path_inside_test_folder("should_exist_if_true") file_that_should_not_exist_if_true = self.pbt.path_inside_test_folder("should_not_exist_if_true") file_that_should_exist_if_false = self.pbt.path_inside_test_folder("should_exist_if_false") file_that_should_not_exist_if_false = self.pbt.path_inside_test_folder("should_not_exist_if_false") self.pbt.batch_accum.clear() self.pbt.batch_accum += If(IsEq(1234, 1234), if_true=Touch(file_that_should_exist_if_true), if_false=Touch(file_that_should_not_exist_if_true)) self.pbt.batch_accum += If(IsEq("yoyo", "ma"), if_true=Touch(file_that_should_not_exist_if_false), if_false=Touch(file_that_should_exist_if_false)) self.pbt.exec_and_capture_output() self.assertTrue(file_that_should_exist_if_true.exists(), f"{self.pbt.which_test}: {file_that_should_exist_if_true} should have been created") self.assertFalse(file_that_should_not_exist_if_true.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist_if_true} should have not been created") self.assertTrue(file_that_should_exist_if_false.exists(), f"{self.pbt.which_test}: {file_that_should_exist_if_false} should have been created") self.assertFalse(file_that_should_not_exist_if_false.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist_if_false} should have not been created") def test_If_NotEq(self): file_that_should_exist_if_true = self.pbt.path_inside_test_folder("should_exist_if_true") file_that_should_not_exist_if_true = self.pbt.path_inside_test_folder("should_not_exist_if_true") file_that_should_exist_if_false = self.pbt.path_inside_test_folder("should_exist_if_false") file_that_should_not_exist_if_false = self.pbt.path_inside_test_folder("should_not_exist_if_false") self.pbt.batch_accum.clear() self.pbt.batch_accum += If(IsNotEq(1234, 1234), if_true=Touch(file_that_should_not_exist_if_true), if_false=Touch(file_that_should_exist_if_true)) self.pbt.batch_accum += If(IsNotEq("yoyo", "ma"), if_true=Touch(file_that_should_exist_if_false), if_false=Touch(file_that_should_not_exist_if_false)) self.pbt.exec_and_capture_output() self.assertTrue(file_that_should_exist_if_true.exists(), f"{self.pbt.which_test}: {file_that_should_exist_if_true} should have been created") self.assertFalse(file_that_should_not_exist_if_true.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist_if_true} should have not been created") self.assertTrue(file_that_should_exist_if_false.exists(), f"{self.pbt.which_test}: {file_that_should_exist_if_false} should have been created") self.assertFalse(file_that_should_not_exist_if_false.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist_if_false} should have not been created") def test_IfFileExist(self): file_that_should_exist = self.pbt.path_inside_test_folder("should_exist") file_that_should_not_exist = self.pbt.path_inside_test_folder("should_not_exist") file_touched_if_exist = self.pbt.path_inside_test_folder("touched_if_exist") file_touched_if_not_exist = self.pbt.path_inside_test_folder("touched_if_not_exist") self.pbt.batch_accum.clear() self.pbt.batch_accum += Touch(file_that_should_exist) self.pbt.batch_accum += If(IsFile(file_that_should_exist), if_true=Touch(file_touched_if_exist), if_false=Touch(file_that_should_not_exist)) self.pbt.batch_accum += If(IsFile(file_that_should_not_exist), if_true=Touch(file_that_should_not_exist), if_false=Touch(file_touched_if_not_exist)) self.pbt.exec_and_capture_output() self.assertTrue(file_that_should_exist.exists(), f"{self.pbt.which_test}: {file_that_should_exist} should have been created") self.assertTrue(file_touched_if_exist.exists(), f"{self.pbt.which_test}: {file_touched_if_exist} should have been created") self.assertFalse(file_that_should_not_exist.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist} should not have been created") self.assertTrue(file_touched_if_not_exist.exists(), f"{self.pbt.which_test}: {file_touched_if_not_exist} should have been created") def test_If_2_is_1_plus_1(self): file_that_should_not_exist = self.pbt.path_inside_test_folder("should_not_exist") file_touched_if_exist = self.pbt.path_inside_test_folder("touched_if_exist") file_touched_if_not_exist = self.pbt.path_inside_test_folder("touched_if_not_exist") self.pbt.batch_accum.clear() self.pbt.batch_accum += If("2 == 1+1", if_true=Touch(file_touched_if_exist), if_false=Touch(file_that_should_not_exist)) self.pbt.batch_accum += If("2 == 1+3", if_true=Touch(file_that_should_not_exist), if_false=Touch(file_touched_if_not_exist)) self.pbt.exec_and_capture_output() self.assertTrue(file_touched_if_exist.exists(), f"{self.pbt.which_test}: {file_touched_if_exist} should have been created") self.assertFalse(file_that_should_not_exist.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist} should not have been created") self.assertTrue(file_touched_if_not_exist.exists(), f"{self.pbt.which_test}: {file_touched_if_not_exist} should have been created") def test_If_from_index(self): self.pbt.batch_accum.clear() self.pbt.reprs_test_runner(If(r"$(JEX_HOST_TYPE)" != "venue", if_true=ShellCommand(r'"$(WAVES_SOUNDGRID_UTILITIES_DIR)\WavesSoundGridDriverSetup.exe" /VERYSILENT /NORESTART /SUPPRESSMSGBOXES', message="Installing SoundGrid Driver", ignore_specific_exit_codes=(8,)))) obj_recreated = eval(r"""If(r"$(JEX_HOST_TYPE)" != "venue", if_true=ShellCommand(r'"$(WAVES_SOUNDGRID_UTILITIES_DIR)\WavesSoundGridDriverSetup.exe" /VERYSILENT /NORESTART /SUPPRESSMSGBOXES', message="Installing SoundGrid Driver", ignore_specific_exit_codes=(8,)))""") print(repr(obj_recreated)) def test_IsFile_repr(self): pass def test_IsFile(self): pass def test_IsDir_repr(self): pass def test_IsDir(self): pass def test_IsSymlink_repr(self): pass def test_IsSymlink(self): pass def test_IsConfigVarEq_repr(self): list_of_objs = list() list_of_remarks = list() for var in ['WZLIB_EXTENSION','NON_EXISTING_VAR']: for expected in ['.wzip','Momo']: for default in ["ben 1", "ben 2", None]: list_of_objs.append(IsConfigVarEq(var, expected, default)) list_of_remarks.append(", ".join(("IsConfigVarEq", var, expected, str(default)))) list_of_objs.append(IsConfigVarNotEq(var, expected, default)) list_of_remarks.append(", ".join(("IsConfigVarNotEq", var, expected, str(default)))) self.pbt.reprs_test_runner(*list_of_objs, remark_list=list_of_remarks) def test_IsConfigVarEq(self): file_that_should_not_exist = self.pbt.path_inside_test_folder("should_not_exist") file_touched_if_var_eq = self.pbt.path_inside_test_folder("touched_if_var_eq") file_touched_if_not_var_eq = self.pbt.path_inside_test_folder("touched_if_not_var_eq") file_that_should_not_exist_w_default = self.pbt.path_inside_test_folder("should_not_exist_w_default") file_touched_if_var_eq_w_default = self.pbt.path_inside_test_folder("touched_if_var_eq_w_default") file_touched_if_not_var_eq_w_default = self.pbt.path_inside_test_folder("touched_if_not_var_eq_w_default") self.pbt.batch_accum.clear() self.pbt.batch_accum += ConfigVarAssign("BOO", "MOO") self.pbt.batch_accum += If(IsConfigVarEq("BOO", "MOO"), if_true=Touch(file_touched_if_var_eq), if_false=Touch(file_that_should_not_exist)) self.pbt.batch_accum += If(IsConfigVarEq("BOO", "YOOOO"), if_true=Touch(file_that_should_not_exist), if_false=Touch(file_touched_if_not_var_eq)) self.pbt.batch_accum += If(IsConfigVarEq("POO", "MOO", "MOO"), if_true=Touch(file_touched_if_var_eq_w_default), if_false=Touch(file_that_should_not_exist_w_default)) self.pbt.batch_accum += If(IsConfigVarEq("POO", "MOO", "YOOOO"), if_true=Touch(file_that_should_not_exist_w_default), if_false=Touch(file_touched_if_not_var_eq_w_default)) self.pbt.exec_and_capture_output() self.assertTrue(file_touched_if_var_eq.exists(), f"{self.pbt.which_test}: {file_touched_if_var_eq} should have been created") self.assertFalse(file_that_should_not_exist.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist} should not have been created") self.assertTrue(file_touched_if_not_var_eq.exists(), f"{self.pbt.which_test}: {file_touched_if_not_var_eq} should have been created") self.assertTrue(file_touched_if_var_eq_w_default.exists(), f"{self.pbt.which_test}: {file_touched_if_var_eq_w_default} should have been created") self.assertFalse(file_that_should_not_exist_w_default.exists(), f"{self.pbt.which_test}: {file_that_should_not_exist_w_default} should not have been created") self.assertTrue(file_touched_if_not_var_eq_w_default.exists(), f"{self.pbt.which_test}: {file_touched_if_not_var_eq_w_default} should have been created")

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7

0142e3c7de30c71edf961e1c4b3bc8633b8052cf

2,977

py

Python

gala/dynamics/setup_package.py

akeemlh/gala

0fdaf9159bccc59af2a3525f2926e04501754f48

[ "MIT" ]

86

2016-05-19T21:58:43.000Z

2022-03-22T14:56:37.000Z

gala/dynamics/setup_package.py

akeemlh/gala

0fdaf9159bccc59af2a3525f2926e04501754f48

[ "MIT" ]

170

2016-06-27T14:10:26.000Z

2022-03-10T22:52:39.000Z

gala/dynamics/setup_package.py

nstarman/gala

5415c817a7cc5e1a5086217332466ffc7af16ab3

[ "MIT" ]

66

2016-09-13T07:31:29.000Z

2022-03-08T15:08:45.000Z

from distutils.core import Extension from collections import defaultdict def get_extensions(): import numpy as np exts = [] # malloc mac_incl_path = "/usr/include/malloc" cfg = defaultdict(list) cfg['include_dirs'].append(np.get_include()) cfg['include_dirs'].append(mac_incl_path) cfg['include_dirs'].append('gala/integrate/cyintegrators') cfg['include_dirs'].append('gala/potential') cfg['extra_compile_args'].append('--std=gnu99') cfg['sources'].append('gala/potential/potential/src/cpotential.c') cfg['sources'].append('gala/potential/hamiltonian/src/chamiltonian.c') cfg['sources'].append('gala/integrate/cyintegrators/dopri/dop853.c') cfg['sources'].append('gala/dynamics/lyapunov/dop853_lyapunov.pyx') exts.append(Extension('gala.dynamics.lyapunov.dop853_lyapunov', **cfg)) cfg = defaultdict(list) cfg['include_dirs'].append(np.get_include()) cfg['include_dirs'].append(mac_incl_path) cfg['include_dirs'].append('gala/potential') cfg['sources'].append('gala/dynamics/mockstream/_coord.pyx') cfg['extra_compile_args'].append('--std=gnu99') exts.append(Extension('gala.dynamics.mockstream._coord', **cfg)) cfg = defaultdict(list) cfg['include_dirs'].append(np.get_include()) cfg['include_dirs'].append(mac_incl_path) cfg['include_dirs'].append('gala/potential') cfg['sources'].append('gala/dynamics/mockstream/df.pyx') cfg['sources'].append('gala/potential/potential/src/cpotential.c') cfg['extra_compile_args'].append('--std=gnu99') exts.append(Extension('gala.dynamics.mockstream.df', **cfg)) cfg = defaultdict(list) cfg['include_dirs'].append(np.get_include()) cfg['include_dirs'].append('gala/integrate/cyintegrators') cfg['include_dirs'].append(mac_incl_path) cfg['include_dirs'].append('gala/potential') cfg['include_dirs'].append('gala/dynamics/nbody') cfg['sources'].append('gala/potential/potential/src/cpotential.c') cfg['sources'].append('gala/potential/hamiltonian/src/chamiltonian.c') cfg['sources'].append('gala/dynamics/mockstream/mockstream.pyx') cfg['sources'].append('gala/integrate/cyintegrators/dopri/dop853.c') cfg['extra_compile_args'].append('--std=gnu99') exts.append(Extension('gala.dynamics.mockstream._mockstream', **cfg)) cfg = defaultdict(list) cfg['include_dirs'].append(np.get_include()) cfg['include_dirs'].append('gala/integrate/cyintegrators') cfg['include_dirs'].append(mac_incl_path) cfg['include_dirs'].append('gala/potential') cfg['sources'].append('gala/potential/potential/src/cpotential.c') cfg['sources'].append('gala/potential/hamiltonian/src/chamiltonian.c') cfg['sources'].append('gala/integrate/cyintegrators/dopri/dop853.c') cfg['sources'].append('gala/dynamics/nbody/nbody.pyx') cfg['extra_compile_args'].append('--std=gnu99') exts.append(Extension('gala.dynamics.nbody.nbody', **cfg)) return exts

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7

01544cfdf8a0bbeec7b708bc4a7720ac777bd786

129

py

Python

RSAbs/__init__.py

radwinskis/RSAbs

ff56949f402dc13095e4cb0561e5eb32f4664601

[ "MIT" ]

1

2022-01-19T00:41:40.000Z

RSAbs/__init__.py

radwinskis/RSAbs

ff56949f402dc13095e4cb0561e5eb32f4664601

[ "MIT" ]

1

2022-01-21T20:06:30.000Z

2022-01-22T14:19:17.000Z

RSAbs/__init__.py

radwinskis/RSAbs

ff56949f402dc13095e4cb0561e5eb32f4664601

[ "MIT" ]

null

from .absorptions import * from .seek_absorptions import * from .seek_absorptions_depth import * from .absorptions_depth import *

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01600f86996f88af11c9571f0e985e6b6ee35bc5

2,686

py

Python

gpMgmt/bin/gppylib/operations/test/unit/test_unit_gpmigrator_util.py

HaozhouWang/gpdb

e68e3da3aa018e1d07a2d3be7e29052839db020f

[ "PostgreSQL", "Apache-2.0" ]

null

gpMgmt/bin/gppylib/operations/test/unit/test_unit_gpmigrator_util.py

HaozhouWang/gpdb

e68e3da3aa018e1d07a2d3be7e29052839db020f

[ "PostgreSQL", "Apache-2.0" ]

null

gpMgmt/bin/gppylib/operations/test/unit/test_unit_gpmigrator_util.py

HaozhouWang/gpdb

e68e3da3aa018e1d07a2d3be7e29052839db020f

[ "PostgreSQL", "Apache-2.0" ]

1

2018-12-04T09:13:57.000Z

#!/usr/bin/env python # # Copyright (c) Pivotal Inc 2014. All Rights Reserved. # import os import unittest2 as unittest from gppylib.gpversion import GpVersion from gppylib.operations.gpMigratorUtil import is_supported_version from mock import patch, MagicMock, Mock class IsSupportedVersionTestCase(unittest.TestCase): def test_is_supported_version_major_version_upgrade(self): v = GpVersion('4.3.0.0') self.assertTrue(is_supported_version(v)) def test_is_supported_minor_version_upgrade(self): v = GpVersion('4.3.8.0') self.assertTrue(is_supported_version(v)) def test_is_supported_dev_build_version_upgrade(self): v = GpVersion('4.3 build dev') self.assertTrue(is_supported_version(v)) def test_is_supported_version_hotfix_upgrade(self): v = GpVersion('4.3.7.3EC7') self.assertTrue(is_supported_version(v)) def test_is_supported_version_major_version_unsupported_upgrade(self): v = GpVersion('4.0.0.0') with self.assertRaisesRegexp(Exception, "Greenplum Version '4.0.0.0 build dev' is not supported for upgrade"): is_supported_version(v) def test_is_supported_version_awesome_build_upgrade(self): v = GpVersion('4.3.3.4__AWESOME_BUILD__') self.assertTrue(is_supported_version(v)) def test_is_supported_version_space_in_build_upgrade(self): v = GpVersion('4.3.3.4 EC7') self.assertTrue(is_supported_version(v)) def test_is_supported_version_major_version_downgrade(self): v = GpVersion('4.3.0.0') self.assertTrue(is_supported_version(v, False)) def test_is_supported_minor_version_downgrade(self): v = GpVersion('4.3.8.0') self.assertTrue(is_supported_version(v, False)) def test_is_supported_dev_build_version_downgrade(self): v = GpVersion('4.3 build dev') self.assertTrue(is_supported_version(v, False)) def test_is_supported_version_hotfix_downgrade(self): v = GpVersion('4.3.7.3EC7') self.assertTrue(is_supported_version(v, False)) def test_is_supported_version_major_version_unsupported_downgrade(self): v = GpVersion('4.0.0.0') with self.assertRaisesRegexp(Exception, "Greenplum Version '4.0.0.0 build dev' is not supported for downgrade"): is_supported_version(v, False) def test_is_supported_version_awesome_build_downgrade(self): v = GpVersion('4.3.3.4__AWESOME_BUILD__') self.assertTrue(is_supported_version(v, False)) def test_is_supported_version_space_in_build_downgrade(self): v = GpVersion('4.3.3.4 EC7') self.assertTrue(is_supported_version(v))

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1

0

1

0

null

0

1

0

8

0193a66a9c23fb9b2031ca31ba723cabaa89ec1f

6,547

py

Python

gtfs/tests/snapshots/snap_test_stops_api.py

montel-ig/maritime-maas

68a3fe30d47745aba40ebf911d599346c070dfa4

[ "MIT" ]

null

gtfs/tests/snapshots/snap_test_stops_api.py

montel-ig/maritime-maas

68a3fe30d47745aba40ebf911d599346c070dfa4

[ "MIT" ]

34

2021-03-05T15:07:17.000Z

2022-02-23T19:05:39.000Z

gtfs/tests/snapshots/snap_test_stops_api.py

montel-ig/maritime-maas

68a3fe30d47745aba40ebf911d599346c070dfa4

[ "MIT" ]

1

2022-02-24T13:57:52.000Z

# -*- coding: utf-8 -*- # snapshottest: v1 - https://goo.gl/zC4yUc from __future__ import unicode_literals from snapshottest import Snapshot snapshots = Snapshot() snapshots["test_stops 1"] = [ { "description": "desc of test stop ", "id": "00000000-0000-0000-0000-000000000001", "name": "stop ", "tts_name": "tts_name of stop ", "wheelchair_boarding": 0, }, { "description": "desc of test stop ", "id": "00000000-0000-0000-0000-000000000002", "name": "stop ", "tts_name": "tts_name of stop ", "wheelchair_boarding": 0, }, ] snapshots["test_stops_departures[filters2] 1"] = [ { "arrival_time": "2021-02-18T13:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 1", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-18T13:00:00Z", "direction_id": 0, "id": "00000000-0000-0000-0000-000000000003", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 1, "stops_after_this": 1, "timepoint": 1, "wheelchair_accessible": 0, }, { "arrival_time": "2021-02-19T01:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 2", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-19T01:00:00Z", "direction_id": 1, "id": "00000000-0000-0000-0000-000000000004", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 2, "stops_after_this": 0, "timepoint": 1, "wheelchair_accessible": 0, }, ] snapshots["test_stops_departures[filters3] 1"] = [ { "arrival_time": "2021-02-19T13:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 1", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-19T13:00:00Z", "direction_id": 0, "id": "00000000-0000-0000-0000-000000000005", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 1, "stops_after_this": 1, "timepoint": 1, "wheelchair_accessible": 0, } ] snapshots["test_stops_departures[filters4] 1"] = [ { "arrival_time": "2021-02-18T13:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 1", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-18T13:00:00Z", "direction_id": 0, "id": "00000000-0000-0000-0000-000000000003", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 1, "stops_after_this": 1, "timepoint": 1, "wheelchair_accessible": 0, } ] snapshots["test_stops_departures[filters5] 1"] = [ { "arrival_time": "2021-02-19T01:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 2", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-19T01:00:00Z", "direction_id": 1, "id": "00000000-0000-0000-0000-000000000004", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 2, "stops_after_this": 0, "timepoint": 1, "wheelchair_accessible": 0, } ] snapshots["test_stops_departures[filters6] 1"] = [] snapshots["test_stops_departures[filters7] 1"] = [ { "arrival_time": "2021-02-18T13:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 1", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-18T13:00:00Z", "direction_id": 0, "id": "00000000-0000-0000-0000-000000000003", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 1, "stops_after_this": 1, "timepoint": 1, "wheelchair_accessible": 0, }, { "arrival_time": "2021-02-19T01:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 2", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-19T01:00:00Z", "direction_id": 1, "id": "00000000-0000-0000-0000-000000000004", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 2, "stops_after_this": 0, "timepoint": 1, "wheelchair_accessible": 0, }, ] snapshots["test_stops_departures__stop_appears_multiple_times_in_trip 1"] = [ { "arrival_time": "2021-02-18T07:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 1", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-18T08:00:00Z", "direction_id": 0, "id": "00000000-0000-0000-0000-000000000004", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 2, "stops_after_this": None, "timepoint": 1, "wheelchair_accessible": 0, }, { "arrival_time": "2021-02-18T09:00:00Z", "bikes_allowed": 0, "block_id": "block_id of test trip 1", "departure_headsign": "headsign of test trip ", "departure_time": "2021-02-18T10:00:00Z", "direction_id": 0, "id": "00000000-0000-0000-0000-000000000004", "route_id": "00000000-0000-0000-0000-000000000000", "short_name": "short_name of test trip ", "stop_headsign": "stop_headsign of test stop time ", "stop_sequence": 4, "stops_after_this": None, "timepoint": 1, "wheelchair_accessible": 0, }, ]

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1

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null

0

9

6dc6132f88e4f2d8cce557632edc940bafbe519b

10,079

py

Python

tests/resource.py

irqed/slumber

3fa0221ab35520b147532d2afb9190bc82cdc170

[ "BSD-2-Clause" ]

null

tests/resource.py

irqed/slumber

3fa0221ab35520b147532d2afb9190bc82cdc170

[ "BSD-2-Clause" ]

null

tests/resource.py

irqed/slumber

3fa0221ab35520b147532d2afb9190bc82cdc170

[ "BSD-2-Clause" ]

null

import mock import unittest import requests import slumber import slumber.serialize class ResourceTestCase(unittest.TestCase): def setUp(self): self.base_resource = slumber.Resource(base_url="http://example/api/v1/test", format="json", append_slash=False) def test_get_200_json(self): r = mock.Mock(spec=requests.Response) r.status_code = 200 r.headers = {"content-type": "application/json"} r.content = '{"result": ["a", "b", "c"]}' self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.return_value = r resp = self.base_resource._request("GET") self.assertTrue(resp is r) self.assertEqual(resp.content, r.content) self.base_resource._store["session"].request.assert_called_once_with( "GET", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.get() self.assertEqual(resp['result'], ['a', 'b', 'c']) def test_get_200_text(self): r = mock.Mock(spec=requests.Response) r.status_code = 200 r.headers = {"content-type": "text/plain"} r.content = "Mocked Content" self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.return_value = r resp = self.base_resource._request("GET") self.assertTrue(resp is r) self.assertEqual(resp.content, "Mocked Content") self.base_resource._store["session"].request.assert_called_once_with( "GET", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.get() self.assertEqual(resp, r.content) def test_post_201_redirect(self): r1 = mock.Mock(spec=requests.Response) r1.status_code = 201 r1.headers = {"location": "http://example/api/v1/test/1"} r1.content = '' r2 = mock.Mock(spec=requests.Response) r2.status_code = 200 r2.headers = {"content-type": "application/json"} r2.content = '{"result": ["a", "b", "c"]}' self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.side_effect = (r1, r2) resp = self.base_resource._request("POST") self.assertTrue(resp is r1) self.assertEqual(resp.content, r1.content) self.base_resource._store["session"].request.assert_called_once_with( "POST", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.post(data={'foo': 'bar'}) self.assertEqual(resp['result'], ['a', 'b', 'c']) def test_post_decodable_response(self): r = mock.Mock(spec=requests.Response) r.status_code = 200 r.content = '{"result": ["a", "b", "c"]}' r.headers = {"content-type": "application/json"} self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.return_value = r resp = self.base_resource._request("POST") self.assertTrue(resp is r) self.assertEqual(resp.content, r.content) self.base_resource._store["session"].request.assert_called_once_with( "POST", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.post(data={'foo': 'bar'}) self.assertEqual(resp['result'], ['a', 'b', 'c']) def test_patch_201_redirect(self): r1 = mock.Mock(spec=requests.Response) r1.status_code = 201 r1.headers = {"location": "http://example/api/v1/test/1"} r1.content = '' r2 = mock.Mock(spec=requests.Response) r2.status_code = 200 r2.headers = {"content-type": "application/json"} r2.content = '{"result": ["a", "b", "c"]}' self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.side_effect = (r1, r2) resp = self.base_resource._request("PATCH") self.assertTrue(resp is r1) self.assertEqual(resp.content, r1.content) self.base_resource._store["session"].request.assert_called_once_with( "PATCH", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.patch(data={'foo': 'bar'}) self.assertEqual(resp['result'], ['a', 'b', 'c']) def test_patch_decodable_response(self): r = mock.Mock(spec=requests.Response) r.status_code = 200 r.content = '{"result": ["a", "b", "c"]}' r.headers = {"content-type": "application/json"} self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.return_value = r resp = self.base_resource._request("PATCH") self.assertTrue(resp is r) self.assertEqual(resp.content, r.content) self.base_resource._store["session"].request.assert_called_once_with( "PATCH", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.patch(data={'foo': 'bar'}) self.assertEqual(resp['result'], ['a', 'b', 'c']) def test_put_201_redirect(self): r1 = mock.Mock(spec=requests.Response) r1.status_code = 201 r1.headers = {"location": "http://example/api/v1/test/1"} r1.content = '' r2 = mock.Mock(spec=requests.Response) r2.status_code = 200 r2.headers = {"content-type": "application/json"} r2.content = '{"result": ["a", "b", "c"]}' self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.side_effect = (r1, r2) resp = self.base_resource._request("PUT") self.assertTrue(resp is r1) self.assertEqual(resp.content, r1.content) self.base_resource._store["session"].request.assert_called_once_with( "PUT", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.put(data={'foo': 'bar'}) self.assertEqual(resp['result'], ['a', 'b', 'c']) def test_put_decodable_response(self): r = mock.Mock(spec=requests.Response) r.status_code = 200 r.content = '{"result": ["a", "b", "c"]}' r.headers = {"content-type": "application/json"} self.base_resource._store.update({ "session": mock.Mock(spec=requests.Session), "serializer": slumber.serialize.Serializer(), }) self.base_resource._store["session"].request.return_value = r resp = self.base_resource._request("PUT") self.assertTrue(resp is r) self.assertEqual(resp.content, r.content) self.base_resource._store["session"].request.assert_called_once_with( "PUT", "http://example/api/v1/test", data=None, files=None, params=None, headers={"content-type": self.base_resource._store["serializer"].get_content_type(), "accept": self.base_resource._store["serializer"].get_content_type()} ) resp = self.base_resource.put(data={'foo': 'bar'}) self.assertEqual(resp['result'], ['a', 'b', 'c']) def test_handle_serialization(self): self.base_resource._store.update({ "serializer": slumber.serialize.Serializer(), }) resp = mock.Mock(spec=requests.Response) resp.headers = {"content-type": "application/json; charset=utf-8"} resp.content = '{"foo": "bar"}' r = self.base_resource._try_to_serialize_response(resp) if not isinstance(r, dict): self.fail("Serialization did not take place")

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0.161782

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10,079

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null

0

1

0

1

0

null

0

7

09da7a7f7b05c66965425f509c1536a666a8d9a7

5,537

py

Python

test/conftest.py

ExiaSR/server

f29ce921681d8b70f9e2541f7e251deb894bea29

[ "Apache-2.0" ]

3

2017-02-22T21:15:27.000Z

2017-08-07T17:30:21.000Z

test/conftest.py

ExiaSR/server

f29ce921681d8b70f9e2541f7e251deb894bea29

[ "Apache-2.0" ]

4

2017-02-24T00:47:02.000Z

2017-03-20T08:51:02.000Z

test/conftest.py

TeamGhostBuster/restful-api

f29ce921681d8b70f9e2541f7e251deb894bea29

[ "Apache-2.0" ]

1

2017-01-27T16:22:46.000Z

import json import os from functools import wraps import requests headers = {'Access-Token': 'michaellam.lzc', 'Provider-Name': 'Google', 'Content-Type': 'application/json'} base_url = os.getenv('API_URL', 'http://127.0.0.1:5000') # Global variable that store the ID of document for the sake of time global global_id global_id = dict() def get(url): """ Decorator method to send HTTP GET request :param url: The url path :return: The response """ def wrapper(f): @wraps(f) def wrapped(*args, **kwargs): result = requests.get(base_url + url, headers=headers) # return f(result, **kwargs) return f(result, **kwargs) return wrapped return wrapper def post(url, data=None): """ Decorator method to send HTTP POST request :param url: The url path :param data: Json body :return: The response """ def wrapper(f): @wraps(f) def wrapped(*args, **kwargs): if len(f.__defaults__) == 2: sep_url = url.split('{}') if len(sep_url) > 1: url_ids = [global_id[i] for i in f.__defaults__[1]] result = requests.post(base_url + url.format(*url_ids), headers=headers, json=data) else: json_ids = [global_id[i] for i in f.__defaults__[1]] result = requests.post(base_url + url, headers=headers, json=json.loads(data.format(*json_ids))) elif len(f.__defaults__) == 3: url_ids = [global_id[i] for i in f.__defaults__[1]] json_ids = [global_id[i] for i in f.__defaults__[2]] result = requests.post(base_url + url.format(*url_ids), headers=headers, json=json.loads(data.format(*json_ids))[0]) else: result = requests.post(base_url + url, headers=headers, json=data) return f(result, **kwargs) return wrapped return wrapper def delete(url, data=None): """ Decorator method to send HTTP DELETE request :param url: The url path :param data: The JSON body :return: The response """ def wrapper(f): @wraps(f) def wrapped(*args, **kwargs): if len(f.__defaults__) == 2: sep_url = url.split('{}') if len(sep_url) > 1: url_ids = [global_id[i] for i in f.__defaults__[1]] result = requests.delete(base_url + url.format(*url_ids), headers=headers, json=data) else: json_ids = [global_id[i] for i in f.__defaults__[1]] result = requests.delete(base_url + url, headers=headers, json=json.loads(data.format(*json_ids))[0]) elif len(f.__defaults__) == 3: url_ids = [global_id[i] for i in f.__defaults__[1]] json_ids = [global_id[i] for i in f.__defaults__[2]] result = requests.delete(base_url + url.format(*url_ids), headers=headers, json=json.loads(data.format(*json_ids))[0]) else: result = requests.delete(base_url + url, headers=headers, json=data) return f(result, **kwargs) return wrapped return wrapper def put(url, data=None): """ Decorator method to send HTTP PUT request :param url: The url path :param data: The JSON body :return: The response """ def wrapper(f): @wraps(f) def wrapped(*args, **kwargs): if len(f.__defaults__) == 2: sep_url = url.split('{}') if len(sep_url) > 1: url_ids = [global_id[i] for i in f.__defaults__[1]] result = requests.put(base_url + url.format(*url_ids), headers=headers, json=data) else: json_ids = [global_id[i] for i in f.__defaults__[1]] result = requests.put(base_url + url, headers=headers, json=json.loads(data.format(*json_ids))[0]) elif len(f.__defaults__) == 3: url_ids = [global_id[i] for i in f.__defaults__[1]] json_ids = [global_id[i] for i in f.__defaults__[2]] result = requests.put(base_url + url.format(*url_ids), headers=headers, json=json.loads(data.format(*json_ids))) else: result = requests.put(base_url + url, headers=headers, json=data) return f(result, **kwargs) return wrapped return wrapper

35.722581

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0.461983

592

5,537

4.099662

0.128378

0.066749

0.053564

0.059333

0.87433

0.846312

0.836012

0.777503

0.746601

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0.438685

5,537

154

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35.954545

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false

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0.266667

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0

7

61e1d9cc89159a425255b0f9e4729ed7aa17ecac

1,176

py

Python

terrascript/github/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

terrascript/github/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

terrascript/github/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

# terrascript/github/r.py import terrascript class github_branch_protection(terrascript.Resource): pass class github_issue_label(terrascript.Resource): pass class github_membership(terrascript.Resource): pass class github_organization_block(terrascript.Resource): pass class github_organization_project(terrascript.Resource): pass class github_organization_webhook(terrascript.Resource): pass class github_project_column(terrascript.Resource): pass class github_repository_collaborator(terrascript.Resource): pass class github_repository_deploy_key(terrascript.Resource): pass class github_repository_project(terrascript.Resource): pass class github_repository_webhook(terrascript.Resource): pass class github_repository(terrascript.Resource): pass class github_team_membership(terrascript.Resource): pass class github_team_repository(terrascript.Resource): pass class github_team(terrascript.Resource): pass class github_user_gpg_key(terrascript.Resource): pass class github_user_invitation_accepter(terrascript.Resource): pass class github_user_ssh_key(terrascript.Resource): pass

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0

null

1

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null

0

1

0

1

0

8

1112526026212ad30dcc55898777787c84247687

3,875

py

Python

CeleryTasks/tests/_test_celery.py

monotone/Ulord-platform

8ec19bbb8845db8f22df925d33b118b22dab0d0b

[ "MIT" ]

28

2018-04-27T08:02:18.000Z

2020-01-14T05:08:34.000Z

CeleryTasks/tests/_test_celery.py

monotone/Ulord-platform

8ec19bbb8845db8f22df925d33b118b22dab0d0b

[ "MIT" ]

2

2018-05-16T08:29:20.000Z

2018-06-17T04:51:08.000Z

CeleryTasks/tests/_test_celery.py

monotone/Ulord-platform

8ec19bbb8845db8f22df925d33b118b22dab0d0b

[ "MIT" ]

4

2018-05-14T11:43:31.000Z

2018-09-29T09:58:58.000Z

# -*- coding: utf-8 -*- # @Date : 18-5-24 上午2:03 # @Author : hetao # @Email : 18570367466@163.com # Copyright (c) 2016-2018 The Ulord Core Developers import time from utasks.wallet_tasks import publish, update_claim def profiler(func): def do_profile(*args, **kw_args): n = func.func_name t0 = time.time() o = func(*args, **kw_args) t = time.time() - t0 print "[profiler] %s %f" % (n, t) return o # return lambda *args, **kw_args: do_profile(func, args, kw_args) return do_profile def print_result(*args): print('callback print: ---------') print(args) print('-------------------------') def get_publish_params(): """ :return: {u'fee': u'0.000359', u'success': True, u'tx': u'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', u'txid': u'325dbf4ed36ccc50f84118e322b1452aeb0f385d71f5accbd326ecd4df3df121', u'amount': u'0.56999999', u'claim_id': u'50971fe0a5d7751d197ca13e5d6d4e6b9f2090e1', u'nout': 0} """ metadata = { "license": "LBRY Inc", "description": "update test", "language": "en", "title": "What is LBRY?", "author": "Samuel Bryan", "version": "_0_1_0", "nsfw": False, "licenseUrl": "", "preview": "", "thumbnail": "https://s3.amazonaws.com/files.lbry.io/logo.png", "tag": ["action", "sss"] } # sourceHash = "d5169241150022f996fa7cd6a9a1c421937276a3275eb912790bd07ba7aec1fac5fd45431d226b8fb402691e79aeb24b" sourceHash = "QmVcVaHhMeWNNetSLTZArmqaHMpu5ycqntx7mFZaci63VF" contentType = "video/mp4" currency = "UT" amount = 1.56 bid = 0.59 address = None tx_fee = None args = (metadata, contentType, sourceHash, currency, amount, bid, address, tx_fee) return args if __name__ == '__main__': user = 'test_201805281100' password = '123' # password = 'pbkdf2:sha256:50000$oEw0SZX0$f8d9951addfa90213e63bb4553cacc7e3cc8e78d9d59f5e707da1fc09dd4d675' claim_name = 'test_201801588' claim_id = 'bcd560324378b3705c1ffe37fadfb11643181c77' txid = 'eef94b23bfc2f5c05133450e53028efc6de7533c178d7aa3e82f6fc32f56cd81' publish_args = get_publish_params() # # 异步调用 res=publish.delay(user, password, claim_name, *publish_args, skip_update_check=True, callback=print_result) # 2.68 # 等待结果返回 print(res.get()) # 同步调用 publish(user, password, claim_name, *publish_args, skip_update_check=True, callback=print_result) # update_claim(user, password, claim_name, claim_id, txid, 0, *publish_args, callback=print_result)

49.050633

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0.770839

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3,875

10.722628

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0.013615

0.021443

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null

1

0

1

0

1

0

7

1141f2ddd62b3993000e8a820db71b9c6fe0a52c

18,511

py

Python

ProgettoLube/WebInspector/DBmanager.py

Lube-Project/ProgettoLube

cbf33971e2c2e865783ec1a2302625539186a338

[ "MIT" ]

null

ProgettoLube/WebInspector/DBmanager.py

Lube-Project/ProgettoLube

cbf33971e2c2e865783ec1a2302625539186a338

[ "MIT" ]

null

ProgettoLube/WebInspector/DBmanager.py

Lube-Project/ProgettoLube

cbf33971e2c2e865783ec1a2302625539186a338

[ "MIT" ]

null

# TODO: RICORDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA che il nome in input ai metodi va controllato lato frontend dandogli al medesimo la tabella excel # TODO:FARE menu a tendina dove mostri tutti i nomi dei siti, così non bisogna controllare la validità del nome # TODO: RICORDAAA DI CONTROLLARE IL RANGE DELLA VALUTAZIONE LATO FRONTEND: !=0 AND <4 import pymongo import datetime class DBmanager: client = None db = None collection = None collection_keyword = None collection_facebook = None collection_instagram = None def start_connection(self): self.client = pymongo.MongoClient( "mongodb+srv://molciprom:molciprom@clusterlube.auwyr.mongodb.net/lube_reports?retryWrites=true&w=majority") self.db = self.client["lube_reports"] self.collection = self.db["web_reports"] self.collection_facebook = self.db["facebook_reports"] self.collection_instagram = self.db["instagram_reports"] def insert(self, report): # print(report.toJSON()) # x = self.collection.insert_one(report.toJSON()) date = datetime.datetime.now() report['date'] = date x = self.collection.insert_one(report) def find_all(self): lista = [] for x in self.collection.find(): lista.append(x) return lista def find_one(self, id): lista = [] for z in self.collection.aggregate([ { "$project": { "_id": 0, "id": "$_id", "date": 1, "report_foto": 1, "report_pagine": 1, "sito": 1, "valutazione_foto": 1, "valutazione_script": 1, "valutazione_keywords": 1 } }, {"$match": {"id": id}}, ]): lista.append(z) return lista # return last document def retrieve_last(self): sup = [] lista = [] # date = [] # for x in self.collection.find({}).sort([("date", -1)]).limit(1): # sup.append(x) # date = x['date'] # # for x in self.collection.find({"date": date}, {"_id": 0, "date": 1, "report": 1, "name": 1, "valutazione": 1}): # # lista.append(x) for z in self.collection.aggregate([ {'$sort': { 'date': 1 }}, {'$group': { "_id": "$sito", 'id': {'$last': '$_id'}, "sito": {'$last': '$sito'}, 'date': {'$last': '$date'}, "report_foto": {'$last': '$report_foto'}, "report_pagine": {'$last': '$report_pagine'}, "valutazione_foto": {'$last': '$valutazione_foto'}, "valutazione_script": {'$last': '$valutazione_script'}, "valutazione_keywords": {'$last': '$valutazione_keywords'} }} ]): lista.append(z) return lista ######################### DETTAGLI SITO ########################################### # return year(x) documents def retrieve_yearly_historic_of_store(self, name, year, range): # TODO: fare report medio su 365 usando il campo valutazione o se si riesce anche gli altri campi e tornare anche tutti i relativi report lista = self.retrieve_year_average_name(year, name, range) for z in self.collection.aggregate([ { "$project": { "_id": 0, "id": "$_id", "year": {"$year": "$date"}, "report": 1, "name": 1, "valutazione": 1 } }, {"$match": {"name": name, "year": year, "valutazione": {"$gte": range[0], "$lte": range[1]}}}, ]): lista.append(z) return lista # return month(x) of the year(x) documents def retrieve_monthly_historic_of_store(self, name, month, year, range): # TODO: fare report medio su numero report usando il campo valutazione o se si riesce anche gli altri campi e tornare anche tutti i relativi report lista = self.retrieve_month_year_average_name(year, month, name, range) for z in self.collection.aggregate([ { "$project": { "_id": 0, "id": "$_id", "year": {"$year": "$date"}, "month": {"$month": "$date"}, "report": 1, "name": 1, "valutazione": 1 } }, {"$match": {"name": name, "year": year, "month": month, "valutazione": {"$gte": range[0], "$lte": range[1]}}}, ]): lista.append(z) return lista # return day-month-year(x) documents def retrieve_daily_historic_of_store(self, name, year, month, day): # TODO: stuff lista = self.retrieve_day_month_year_name(year, month, day, name) for z in self.collection.aggregate([ { "$project": { "_id": 0, "id": "$_id", "year": {"$year": "$date"}, "month": {"$month": "$date"}, "day": {"$dayOfMonth": "$date"}, "report": 1, "name": 1, "valutazione": 1 } }, {"$match": {"name": name, "year": year, "month": month, "day": day, }} ]): lista.append(z) return lista ################################## HOME ################################################# # return year(x) average reports def retrieve_year_average(self, year, range): # TODO: ritornare tutti i report medi dell'anno x ogni sito # Attualmente: Nel db ho inserito tutte macchine, la media è sul # l'anno all'interno dell'oggetto obj lista = [] for z in self.collection.aggregate([ { "$project": { "year": {"$year": "$date"}, "name": 1, "average": "$valutazione", } }, {"$match": {"year": year}}, { "$group": { "id": {"$first": "$name"}, "_id": "$name", "valutazione": {"$avg": "$average"}, "year": {"$first": year}, } }, {"$addFields": { "valutazione": {"$trunc": ["$valutazione", 2]}, }}, {"$match": {"valutazione": {"$gte": range[0], "$lte": range[1]}}} ]): lista.append(z) return lista # return month(x) of the year(x) average reports def retrieve_month_year_average(self, year, month, range): # TODO: ritornare tutti i report medi del mese x dell'anno x per ogni sito # Ci sono due match perchè se il controllo del range sarebbe stato nel primo, nel calcolo della media avrebbe escluso i campi fuori dal range # In questo modo, invece, escludo la valutazione media lista = [] for z in self.collection.aggregate([ { "$project": { "year": {"$year": "$date"}, "month": {"$month": "$date"}, "name": 1, "average": "$valutazione", } }, {"$match": {"year": year, "month": month}}, { "$group": { "id": {"$first": "$name"}, "_id": "$name", "valutazione": {"$avg": "$average"}, "year": {"$first": year}, "month": {"$first": month} } }, {"$addFields": { "valutazione": {"$trunc": ["$valutazione", 2]}, }}, {"$match": {"valutazione": {"$gte": range[0], "$lte": range[1]}}} ]): lista.append(z) return lista # return day(x) of month(x) of the year(x) average reports def retrieve_day_month_year(self, year, month, day, range): # TODO: ritornare tutti i report del giorno x del mese x dell'anno x per ogni sito lista = [] for z in self.collection.aggregate([ { "$project": { "year": {"$year": "$date"}, "month": {"$month": "$date"}, "day": {"$dayOfMonth": "$date"}, "name": 1, # "valutazione": {"$cond": {"if": { "$and": [{"$ne": [range[0], 0]}, {"$ne": [range[1], 0]}, {"$lt": [range[0], 4]},{"$lt": [range[1], 4]}]},"then": {"$cond": {"if": {"$and": [{"$gte": ["$valutazione", range[0]]} {"$lte": ["$valutazione", range[1]]}]},"then": "$valutazione", "else": None}}, "else": None}}, "valutazione": "$valutazione", "report": 1 } }, {"$match": {"year": year, "month": month, "day": day, "valutazione": {"$gte": range[0], "$lte": range[1]}}}, { "$group": { "id": {"$first": "$name"}, "_id": "$name", "valutazione": {"$first": "$valutazione"}, "year": {"$first": year}, "month": {"$first": month}, "day": {"$first": day}, "report": {"$first": "$report"} } } ]): lista.append(z) return lista # return year(x) average reports def retrieve_year_average_name(self, year, name, range): # TODO: ritornare tutti i report medi dell'anno x ogni sito # Attualmente: Nel db ho inserito tutte macchine, la media è sull'anno all'interno dell'oggetto obj lista = [] for z in self.collection.aggregate([ { "$project": { "year": {"$year": "$date"}, "name": 1, "average": "$valutazione", } }, {"$match": {"year": year, "name": name}}, { "$group": { "id": {"$first": "$name"}, "_id": "$name", "valutazione": {"$avg": "$average"}, "year": {"$first": year}, } }, {"$addFields": { "valutazione": {"$trunc": ["$valutazione", 2]}, }}, {"$match": {"valutazione": {"$gte": range[0], "$lte": range[1]}}} ]): lista.append(z) return lista # return month(x) of the year(x) average reports def retrieve_month_year_average_name(self, year, month, name, range): # TODO: ritornare tutti i report medi del mese x dell'anno x per ogni sito # Ci sono due match perchè se il controllo del range sarebbe stato nel primo, nel calcolo della media avrebbe escluso i campi fuori dal range # In questo modo, invece, escludo la valutazione media lista = [] for z in self.collection.aggregate([ { "$project": { "year": {"$year": "$date"}, "month": {"$month": "$date"}, "name": 1, "average": "$valutazione", } }, {"$match": {"year": year, "month": month, "name": name}}, { "$group": { "id": {"$first": "$name"}, "_id": "$name", "valutazione": {"$avg": "$average"}, "year": {"$first": year}, "month": {"$first": month} } }, {"$addFields": { "valutazione": {"$trunc": ["$valutazione", 2]}, }}, {"$match": {"valutazione": {"$gte": range[0], "$lte": range[1]}}} ]): lista.append(z) return lista # return day(x) of month(x) of the year(x) average reports def retrieve_day_month_year_name(self, year, month, day, name): # TODO: ritornare tutti i report del giorno x del mese x dell'anno x per ogni sito lista = [] for z in self.collection.aggregate([ { "$project": { "year": {"$year": "$date"}, "month": {"$month": "$date"}, "day": {"$dayOfMonth": "$date"}, "name": 1, # "valutazione": {"$cond": {"if": { "$and": [{"$ne": [range[0], 0]}, {"$ne": [range[1], 0]}, {"$lt": [range[0], 4]},{"$lt": [range[1], 4]}]},"then": {"$cond": {"if": {"$and": [{"$gte": ["$valutazione", range[0]]} {"$lte": ["$valutazione", range[1]]}]},"then": "$valutazione", "else": None}}, "else": None}}, "valutazione": "$valutazione", "report": 1 } }, {"$match": {"year": year, "month": month, "day": day, "name": name}}, { "$group": { "id": {"$first": "$name"}, "_id": "$name", "valutazione": {"$first": "$valutazione"}, "year": {"$first": year}, "month": {"$first": month}, "day": {"$first": day}, "report": {"$first": "$report"} } } ]): lista.append(z) return lista ##################################################### FACEBOOK ###################################################### def insert_facebook_report(self, report): # print(report.toJSON()) # x = self.collection.insert_one(report.toJSON()) date = datetime.datetime.now() report['date'] = date x = self.collection_facebook.insert_one(report) def find_one_facebook(self, id): lista = [] for z in self.collection_facebook.aggregate([ { "$project": { "_id": 0, "id": "$_id", "date": 1, "report_foto": 1, "dictionary_parolechiave_nel_post": 1, "social": 1, "nome": 1, "quantita_post_neltempo":1, "valutazione_foto": 1, "valutazione_keywords": 1 } }, {"$match": {"id": id}}, ]): lista.append(z) return lista # return last document def retrieve_last_facebook(self): sup = [] lista = [] date = [] # for x in self.collection_facebook.find({}).sort([("date", -1)]).limit(1): # sup.append(x) # date = x['date'] # for x in self.collection.find({"date": date}, {"_id": 0, "date": 1, "report": 1, "name": 1, "valutazione": 1}): # lista.append(x) for z in self.collection_facebook.aggregate([ {'$sort': { 'date': 1 }}, {'$group': { "_id": "$nome", 'id': {'$last': '$_id'}, "nome": {'$last': '$nome'}, 'date': {'$last': '$date'}, "social": {'$last': '$social'}, "report_foto": {'$last': '$report_foto'}, "dictionary_parolechiave_nel_post": {'$last': '$dictionary_parolechiave_nel_post'}, "quantita_post_neltempo": {'$last': '$quantita_post_neltempo'}, "valutazione_foto": {'$last': '$valutazione_foto'}, "valutazione_keywords": {'$last': '$valutazione_keywords'} }} ]): lista.append(z) return lista ##################################################### INSTAGRAM ###################################################### def insert_instagram_report(self, report): # print(report.toJSON()) # x = self.collection.insert_one(report.toJSON()) date = datetime.datetime.now() report['date'] = date x = self.collection_instagram.insert_one(report) def find_one_instagram(self, id): lista = [] for z in self.collection_instagram.aggregate([ { "$project": { "_id": 0, "id": "$_id", "nome":1, "date": 1, "report_foto": 1, "dictionary_parolechiave_nel_post": 1, "quantita_post_neltempo": 1, "valutazione_foto": 1, "social": 1, "valutazione_keywords": 1 } }, {"$match": {"id": id}}, ]): lista.append(z) return lista # return last document def retrieve_last_instagram(self): sup = [] lista = [] date = [] # for x in self.collection_instagram.find({}).sort([("date", -1)]).limit(1): # sup.append(x) # date = x['date'] # for x in self.collection.find({"date": date}, {"_id": 0, "date": 1, "report": 1, "name": 1, "valutazione": 1}): # lista.append(x) for z in self.collection_instagram.aggregate([ {'$sort': { 'date': 1 }}, {'$group': { "_id": "$nome", 'id': {'$last': '$_id'}, "nome": {'$last': '$nome'}, 'date': {'$last': '$date'}, "social": {'$last': '$social'}, "report_foto": {'$last': '$report_foto'}, "dictionary_parolechiave_nel_post": {'$last': '$dictionary_parolechiave_nel_post'}, "quantita_post_neltempo": {'$last': '$quantita_post_neltempo'}, "valutazione_foto": {'$last': '$valutazione_foto'}, "valutazione_keywords": {'$last': '$valutazione_keywords'} }} ]): lista.append(z) return lista

38.484407

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null

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1

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null

0

7

fed6127df42ecd0d9d18eecbdc321ce612818982

14,548

py

Python

sdk/python/pulumi_mongodbatlas/team.py

pulumi/pulumi-mongodbatlas

0d5c085dcfd871b56fb4cf582620260b70caa07a

[ "ECL-2.0", "Apache-2.0" ]

9

2020-04-28T19:12:30.000Z

2022-03-22T23:04:46.000Z

sdk/python/pulumi_mongodbatlas/team.py

pulumi/pulumi-mongodbatlas

0d5c085dcfd871b56fb4cf582620260b70caa07a

[ "ECL-2.0", "Apache-2.0" ]

59

2020-06-12T12:12:52.000Z

2022-03-28T18:14:50.000Z

sdk/python/pulumi_mongodbatlas/team.py

pulumi/pulumi-mongodbatlas

0d5c085dcfd871b56fb4cf582620260b70caa07a

[ "ECL-2.0", "Apache-2.0" ]

2

2020-09-25T21:22:08.000Z

2021-08-30T20:06:18.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['TeamArgs', 'Team'] @pulumi.input_type class TeamArgs: def __init__(__self__, *, org_id: pulumi.Input[str], usernames: pulumi.Input[Sequence[pulumi.Input[str]]], name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Team resource. :param pulumi.Input[str] org_id: The unique identifier for the organization you want to associate the team with. :param pulumi.Input[Sequence[pulumi.Input[str]]] usernames: The Atlas usernames (email address). You can only add Atlas users who are part of the organization. Users who have not accepted an invitation to join the organization cannot be added as team members. There is a maximum of 250 Atlas users per team. :param pulumi.Input[str] name: The name of the team you want to create. """ pulumi.set(__self__, "org_id", org_id) pulumi.set(__self__, "usernames", usernames) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="orgId") def org_id(self) -> pulumi.Input[str]: """ The unique identifier for the organization you want to associate the team with. """ return pulumi.get(self, "org_id") @org_id.setter def org_id(self, value: pulumi.Input[str]): pulumi.set(self, "org_id", value) @property @pulumi.getter def usernames(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ The Atlas usernames (email address). You can only add Atlas users who are part of the organization. Users who have not accepted an invitation to join the organization cannot be added as team members. There is a maximum of 250 Atlas users per team. """ return pulumi.get(self, "usernames") @usernames.setter def usernames(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "usernames", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the team you want to create. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class _TeamState: def __init__(__self__, *, name: Optional[pulumi.Input[str]] = None, org_id: Optional[pulumi.Input[str]] = None, team_id: Optional[pulumi.Input[str]] = None, usernames: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering Team resources. :param pulumi.Input[str] name: The name of the team you want to create. :param pulumi.Input[str] org_id: The unique identifier for the organization you want to associate the team with. :param pulumi.Input[str] team_id: The unique identifier for the team. :param pulumi.Input[Sequence[pulumi.Input[str]]] usernames: The Atlas usernames (email address). You can only add Atlas users who are part of the organization. Users who have not accepted an invitation to join the organization cannot be added as team members. There is a maximum of 250 Atlas users per team. """ if name is not None: pulumi.set(__self__, "name", name) if org_id is not None: pulumi.set(__self__, "org_id", org_id) if team_id is not None: pulumi.set(__self__, "team_id", team_id) if usernames is not None: pulumi.set(__self__, "usernames", usernames) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the team you want to create. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="orgId") def org_id(self) -> Optional[pulumi.Input[str]]: """ The unique identifier for the organization you want to associate the team with. """ return pulumi.get(self, "org_id") @org_id.setter def org_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "org_id", value) @property @pulumi.getter(name="teamId") def team_id(self) -> Optional[pulumi.Input[str]]: """ The unique identifier for the team. """ return pulumi.get(self, "team_id") @team_id.setter def team_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "team_id", value) @property @pulumi.getter def usernames(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The Atlas usernames (email address). You can only add Atlas users who are part of the organization. Users who have not accepted an invitation to join the organization cannot be added as team members. There is a maximum of 250 Atlas users per team. """ return pulumi.get(self, "usernames") @usernames.setter def usernames(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "usernames", value) class Team(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, name: Optional[pulumi.Input[str]] = None, org_id: Optional[pulumi.Input[str]] = None, usernames: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): """ `Teams` provides a Team resource. The resource lets you create, edit and delete Teams. Also, Teams can be assigned to multiple projects, and team members’ access to the project is determined by the team’s project role. > **IMPORTANT:** MongoDB Atlas Team limits: max 250 teams in an organization and max 100 teams per project. > **NOTE:** Groups and projects are synonymous terms. You may find group_id in the official documentation. MongoDB Atlas Team limits: max 250 teams in an organization and max 100 teams per project. ## Example Usage ```python import pulumi import pulumi_mongodbatlas as mongodbatlas test = mongodbatlas.Teams("test", org_id="<ORGANIZATION-ID>", usernames=[ "user1@email.com", "user2@email.com", "user3@email.com", ]) ``` ## Import Teams can be imported using the organization ID and team id, in the format ORGID-TEAMID, e.g. ```sh $ pulumi import mongodbatlas:index/team:Team my_team 1112222b3bf99403840e8934-1112222b3bf99403840e8935 ``` See detailed information for arguments and attributes[MongoDB API Teams](https://docs.atlas.mongodb.com/reference/api/teams-create-one/) :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] name: The name of the team you want to create. :param pulumi.Input[str] org_id: The unique identifier for the organization you want to associate the team with. :param pulumi.Input[Sequence[pulumi.Input[str]]] usernames: The Atlas usernames (email address). You can only add Atlas users who are part of the organization. Users who have not accepted an invitation to join the organization cannot be added as team members. There is a maximum of 250 Atlas users per team. """ ... @overload def __init__(__self__, resource_name: str, args: TeamArgs, opts: Optional[pulumi.ResourceOptions] = None): """ `Teams` provides a Team resource. The resource lets you create, edit and delete Teams. Also, Teams can be assigned to multiple projects, and team members’ access to the project is determined by the team’s project role. > **IMPORTANT:** MongoDB Atlas Team limits: max 250 teams in an organization and max 100 teams per project. > **NOTE:** Groups and projects are synonymous terms. You may find group_id in the official documentation. MongoDB Atlas Team limits: max 250 teams in an organization and max 100 teams per project. ## Example Usage ```python import pulumi import pulumi_mongodbatlas as mongodbatlas test = mongodbatlas.Teams("test", org_id="<ORGANIZATION-ID>", usernames=[ "user1@email.com", "user2@email.com", "user3@email.com", ]) ``` ## Import Teams can be imported using the organization ID and team id, in the format ORGID-TEAMID, e.g. ```sh $ pulumi import mongodbatlas:index/team:Team my_team 1112222b3bf99403840e8934-1112222b3bf99403840e8935 ``` See detailed information for arguments and attributes[MongoDB API Teams](https://docs.atlas.mongodb.com/reference/api/teams-create-one/) :param str resource_name: The name of the resource. :param TeamArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(TeamArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, name: Optional[pulumi.Input[str]] = None, org_id: Optional[pulumi.Input[str]] = None, usernames: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = TeamArgs.__new__(TeamArgs) __props__.__dict__["name"] = name if org_id is None and not opts.urn: raise TypeError("Missing required property 'org_id'") __props__.__dict__["org_id"] = org_id if usernames is None and not opts.urn: raise TypeError("Missing required property 'usernames'") __props__.__dict__["usernames"] = usernames __props__.__dict__["team_id"] = None super(Team, __self__).__init__( 'mongodbatlas:index/team:Team', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, name: Optional[pulumi.Input[str]] = None, org_id: Optional[pulumi.Input[str]] = None, team_id: Optional[pulumi.Input[str]] = None, usernames: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None) -> 'Team': """ Get an existing Team resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] name: The name of the team you want to create. :param pulumi.Input[str] org_id: The unique identifier for the organization you want to associate the team with. :param pulumi.Input[str] team_id: The unique identifier for the team. :param pulumi.Input[Sequence[pulumi.Input[str]]] usernames: The Atlas usernames (email address). You can only add Atlas users who are part of the organization. Users who have not accepted an invitation to join the organization cannot be added as team members. There is a maximum of 250 Atlas users per team. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _TeamState.__new__(_TeamState) __props__.__dict__["name"] = name __props__.__dict__["org_id"] = org_id __props__.__dict__["team_id"] = team_id __props__.__dict__["usernames"] = usernames return Team(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the team you want to create. """ return pulumi.get(self, "name") @property @pulumi.getter(name="orgId") def org_id(self) -> pulumi.Output[str]: """ The unique identifier for the organization you want to associate the team with. """ return pulumi.get(self, "org_id") @property @pulumi.getter(name="teamId") def team_id(self) -> pulumi.Output[str]: """ The unique identifier for the team. """ return pulumi.get(self, "team_id") @property @pulumi.getter def usernames(self) -> pulumi.Output[Sequence[str]]: """ The Atlas usernames (email address). You can only add Atlas users who are part of the organization. Users who have not accepted an invitation to join the organization cannot be added as team members. There is a maximum of 250 Atlas users per team. """ return pulumi.get(self, "usernames")

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feec2efa58c2a3cddd6da7793b2a695698b96f37

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Python

sdk/python/pulumi_google_native/apigateway/v1beta/__init__.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

44

2021-04-18T23:00:48.000Z

2022-02-14T17:43:15.000Z

sdk/python/pulumi_google_native/apigateway/v1beta/__init__.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

354

2021-04-16T16:48:39.000Z

2022-03-31T17:16:39.000Z

sdk/python/pulumi_google_native/apigateway/v1beta/__init__.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

8

2021-04-24T17:46:51.000Z

2022-01-05T10:40:21.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from ... import _utilities import typing # Export this package's modules as members: from ._enums import * from .api import * from .api_config_iam_policy import * from .api_iam_policy import * from .config import * from .gateway import * from .gateway_iam_policy import * from .get_api import * from .get_api_config_iam_policy import * from .get_api_iam_policy import * from .get_config import * from .get_gateway import * from .get_gateway_iam_policy import * from ._inputs import * from . import outputs

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Python

medical_seg/networks/self_cross_att_fusion_net.py

920232796/MedicalSeg

385ed000c04d828133faeaa9a56ba14488adc8c5

[ "Apache-2.0" ]

11

2021-08-23T13:06:59.000Z

2022-03-14T09:05:34.000Z

medical_seg/networks/self_cross_att_fusion_net.py

920232796/MedicalSeg

385ed000c04d828133faeaa9a56ba14488adc8c5

[ "Apache-2.0" ]

null

medical_seg/networks/self_cross_att_fusion_net.py

920232796/MedicalSeg

385ed000c04d828133faeaa9a56ba14488adc8c5

[ "Apache-2.0" ]

2

2022-01-12T07:58:44.000Z

2022-03-15T04:48:57.000Z

from operator import mod from medical_seg.networks.layers.image_transformer import PoolFormer from medical_seg.networks.layers.multi_attention import MultiAttentionTransformer from medical_seg.networks.nets.co_unet import BasicUNet from medical_seg.networks.nets.basic_unet_encoder import BasicUNetEncoder import torch.nn as nn import torch import torch.nn.functional as F # from medical_seg.networks.layers.spatial_image_transformer import SpatialTransformerLayer from medical_seg.networks.layers.fusion_transformer import FusionSelfCrossTrans from typing import Sequence, Union from medical_seg.networks.nets.co_unet import UpCat from medical_seg.networks.layers.cpc import ImageCPC from einops import rearrange from medical_seg.networks.nets.basic_pool_former import BasicPoolFormerEncoder class CNN(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1): super().__init__() self.net = nn.Sequential( nn.Conv3d(in_channels, out_channels, kernel_size, stride, padding), nn.LeakyReLU(), nn.BatchNorm3d(num_features=out_channels), nn.Conv3d(out_channels, out_channels, kernel_size, stride, padding), nn.LeakyReLU(), nn.BatchNorm3d(num_features=out_channels), ) def forward(self, x): return self.net(x) class ModalitySelfAttention(nn.Module): def __init__(self, model_num, hidden_size): super().__init__() self.q = nn.Linear(in_features=hidden_size, out_features=hidden_size) self.k = nn.Linear(in_features=hidden_size, out_features=hidden_size) self.v = nn.Linear(in_features=hidden_size, out_features=hidden_size) self.out_conv = CNN(in_channels=model_num*hidden_size, out_channels=hidden_size) def forward(self, x, model_num): ## x: (batch, modal, feature, d, w, h) x = rearrange(x, "b m f d w h -> b d w h m f", m=model_num) q_out = self.q(x) k_out = self.k(x) v_out = self.v(x) attention_score = torch.einsum("b d w h m f, b d w h f n -> b d w h m n", q_out, k_out.transpose(-1, -2)) modality_att_out = torch.einsum("b d w h m n, b d w h n f -> b d w h m f", attention_score, v_out) modality_att_out = rearrange(modality_att_out, "b d w h m f -> b (m f) d w h") modality_att_out = self.out_conv(modality_att_out) return modality_att_out class MCNNEncoder(nn.Module): def __init__(self, model_num, fea=[16, 16, 32, 64, 128, 16], pool_size=[(2, 2, 2), (2, 2, 2), (2, 2, 2), (2, 2, 2)]): super().__init__() self.model_num = model_num self.unets = nn.ModuleList([]) for i in range(model_num): unet = BasicUNetEncoder(dimensions=3, in_channels=1, features=fea, pool_size=pool_size) self.unets.append(unet) def forward(self, x): encoder_out = [] x = x.unsqueeze(dim=2) for i in range(self.model_num): encoder_out.append(self.unets[i](x[:, i])) return encoder_out class PoolFormerEncoders(nn.Module): def __init__(self, model_num, fea=[16, 16, 32, 64, 128, 16], pool_size=[(2, 2, 2), (2, 2, 2), (2, 2, 2), (2, 2, 2)]): super().__init__() self.model_num = model_num self.encoders = nn.ModuleList([]) for i in range(model_num): encoder = BasicPoolFormerEncoder(dimensions=3, in_channels=1, pool_size=pool_size, features=fea) self.encoders.append(encoder) def forward(self, x): encoder_out = [] x = x.unsqueeze(dim=2) for i in range(self.model_num): encoder_out.append(self.encoders[i](x[:, i])) return encoder_out class PoolFormerUpcat(nn.Module): def __init__(self, in_channels, out_channels, up_size=(2, 2, 2), num_layers=1): super().__init__() self.in_channels = in_channels self.out_channels = out_channels self.up_size = up_size up_ = up_size[0] * up_size[1] * up_size[2] self.patch_expand = nn.Conv3d(in_channels, in_channels*up_, 1, 1, 0) self.pool_former = PoolFormer(in_channels+out_channels, out_channels, patch_size=(1, 1, 1), mlp_size=out_channels, num_layers=num_layers) def forward(self, x, x_cat): pass b, c, d, w, h = x.shape x = self.patch_expand(x) x = rearrange(x, "b (p1 p2 p3 c) d w h -> b c (d p1) (w p2) (h p3)", c = c, p1=self.up_size[0], p2=self.up_size[1], p3=self.up_size[2]) x = torch.cat([x, x_cat], dim=1) x = self.pool_former(x) return x class SCAFNet(nn.Module): def __init__(self, model_num, out_channels, image_size, act: Union[str, tuple] = ("LeakyReLU", {"negative_slope": 0.1, "inplace": True}), norm = ("GROUP", {"num_groups": 8, "affine": False}), dropout: Union[float, tuple] = 0.0, upsample: str = "deconv", fea = [16, 16, 32, 64, 128, 16], window_size=(2, 4, 4), pool_size=[(2, 2, 2), (2, 2, 2), (2, 2, 2), (2, 2, 2)], patch_size=(1, 1, 1), self_num_layer=2, token_mixer_size=32, encoder="cnn", corss_attention=True, modality_gate=True): super().__init__() self.out_channels = out_channels self.model_num = model_num self.pool_size = pool_size self.cross_attention = corss_attention self.modality_gate = modality_gate pool_size_all = [1, 1, 1] for p in pool_size: pool_size_all = [pool_size_all[i] * p[i] for i in range(len(p))] new_image_size = [image_size[i] // pool_size_all[i] for i in range(3)] if encoder == "cnn": print("use cnn encoder") self.multicnn_encoder = MCNNEncoder(model_num=model_num, fea=fea, pool_size=pool_size) elif encoder == "poolformer": print("use poolformer encoder") self.multicnn_encoder = PoolFormerEncoders(model_num=model_num, fea=fea, pool_size=pool_size) else : import os print("model is error") os._exit(0) if self.cross_attention: print("use cross attention fusion module") self.cross_fusion_trans = FusionSelfCrossTrans(model_num=model_num, in_channels=fea[4], hidden_size=fea[4], patch_size=patch_size, img_size=new_image_size, mlp_size=2*fea[4], self_num_layer=self_num_layer, window_size=window_size, token_mixer_size=token_mixer_size) else : # 不用crss attention print("no cross attention fusion module") self.fusion_conv_5 = CNN(model_num*fea[4], fea[4], 3, 1) if self.modality_gate: print("use modality gate module") self.gate_layer = nn.Conv3d(fea[4], 2, 1, 1, 0) else : print("no modality gate module") self.fusion_conv_1 = CNN(model_num*fea[0], fea[0], 3, 1) self.fusion_conv_2 = CNN(model_num*fea[1], fea[1], 3, 1) self.fusion_conv_3 = CNN(model_num*fea[2], fea[2], 3, 1) self.fusion_conv_4 = CNN(model_num*fea[3], fea[3], 3, 1) # self.upcat_4 = PoolFormerUpcat(fea[4], fea[3], up_size=pool_size[3], num_layers=2) # self.upcat_3 = PoolFormerUpcat(fea[3], fea[2], up_size=pool_size[2], num_layers=2) # self.upcat_2 = PoolFormerUpcat(fea[2], fea[1], up_size=pool_size[1], num_layers=2) # self.upcat_1 = PoolFormerUpcat(fea[1], fea[5], up_size=pool_size[0], num_layers=2) self.upcat_4 = UpCat(3, fea[4], fea[3], fea[3], act, norm, dropout, upsample, pool_size=pool_size[3]) self.upcat_3 = UpCat(3, fea[3], fea[2], fea[2], act, norm, dropout, upsample, pool_size=pool_size[2]) self.upcat_2 = UpCat(3, fea[2], fea[1], fea[1], act, norm, dropout, upsample, pool_size=pool_size[1]) self.upcat_1 = UpCat(3, fea[1], fea[0], fea[5], act, norm, dropout, upsample, halves=False, pool_size=pool_size[0]) self.final_conv = nn.Conv3d(fea[5], out_channels, 1, 1) def forward(self, x): assert x.shape[1] == self.model_num, "输入模态不一致，请检查" encoder_x = self.multicnn_encoder(x) encoder_1 = torch.stack([encoder_x[i][4] for i in range(self.model_num)], dim=1) encoder_2 = torch.stack([encoder_x[i][3] for i in range(self.model_num)], dim=1) encoder_3 = torch.stack([encoder_x[i][2] for i in range(self.model_num)], dim=1) encoder_4 = torch.stack([encoder_x[i][1] for i in range(self.model_num)], dim=1) encoder_5 = torch.stack([encoder_x[i][0] for i in range(self.model_num)], dim=1) if self.cross_attention: fusion_out = self.cross_fusion_trans(encoder_5) encoder_5 = rearrange(encoder_5, "b n c d w h -> b (n c) d w h") fusion_out_cnn = self.fusion_conv_5(encoder_5) fusion_out = fusion_out + fusion_out_cnn else : # 不用cross attention encoder_5 = rearrange(encoder_5, "b n c d w h -> b (n c) d w h") fusion_out = self.fusion_conv_5(encoder_5) if self.modality_gate: # 使用modality gate fusion_out_tmp = self.gate_layer(fusion_out) fusion_out_2 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_tmp, scale_factor=self.pool_size[3], mode="trilinear")) fusion_out_4 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_2, scale_factor=self.pool_size[2], mode="trilinear")) fusion_out_8 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_4, scale_factor=self.pool_size[1], mode="trilinear")) fusion_out_16 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_8, scale_factor=self.pool_size[0], mode="trilinear")) # 筛选 encoder_1 = rearrange(encoder_1 * fusion_out_16.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") encoder_2 = rearrange(encoder_2 * fusion_out_8.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") encoder_3 = rearrange(encoder_3 * fusion_out_4.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") encoder_4 = rearrange(encoder_4 * fusion_out_2.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") else : # 不筛选 encoder_1 = rearrange(encoder_1 , "b n c d w h -> b (n c) d w h") encoder_2 = rearrange(encoder_2 , "b n c d w h -> b (n c) d w h") encoder_3 = rearrange(encoder_3 , "b n c d w h -> b (n c) d w h") encoder_4 = rearrange(encoder_4 , "b n c d w h -> b (n c) d w h") encoder_1_cnn = self.fusion_conv_1(encoder_1) encoder_2_cnn = self.fusion_conv_2(encoder_2) encoder_3_cnn = self.fusion_conv_3(encoder_3) encoder_4_cnn = self.fusion_conv_4(encoder_4) u4 = self.upcat_4(fusion_out, encoder_4_cnn) u3 = self.upcat_3(u4, encoder_3_cnn) u2 = self.upcat_2(u3, encoder_2_cnn) u1 = self.upcat_1(u2, encoder_1_cnn) logits = self.final_conv(u1) return logits class SCAFNetNoCross(nn.Module): def __init__(self, model_num, out_channels, image_size, act: Union[str, tuple] = ("LeakyReLU", {"negative_slope": 0.1, "inplace": True}), norm = ("GROUP", {"num_groups": 8, "affine": False}), dropout: Union[float, tuple] = 0.0, upsample: str = "deconv", fea = [16, 16, 32, 64, 128, 16], window_size=(2, 4, 4), pool_size=[(2, 2, 2), (2, 2, 2), (2, 2, 2), (2, 2, 2)], patch_size=(1, 1, 1), self_num_layer=2, token_mixer_size=32, encoder="cnn", corss_attention=True, modality_gate=True): super().__init__() self.out_channels = out_channels self.model_num = model_num self.pool_size = pool_size self.cross_attention = corss_attention self.modality_gate = modality_gate pool_size_all = [1, 1, 1] for p in pool_size: pool_size_all = [pool_size_all[i] * p[i] for i in range(len(p))] new_image_size = [image_size[i] // pool_size_all[i] for i in range(3)] if encoder == "cnn": print("use cnn encoder") self.multicnn_encoder = MCNNEncoder(model_num=model_num, fea=fea, pool_size=pool_size) elif encoder == "poolformer": print("use poolformer encoder") self.multicnn_encoder = PoolFormerEncoders(model_num=model_num, fea=fea, pool_size=pool_size) else : import os print("model is error") os._exit(0) if self.cross_attention: print("use cross attention fusion module") self.cross_fusion_trans = MultiAttentionTransformer( in_channels=model_num*fea[4], out_channels=fea[4], patch_size=(1,1,1), img_size=new_image_size, mlp_size=2*fea[4], window_size=window_size, ) # self.cross_fusion_trans = FusionSelfCrossTrans(model_num=model_num, # in_channels=fea[4], # hidden_size=fea[4], # patch_size=patch_size, # img_size=new_image_size, # mlp_size=2*fea[4], self_num_layer=self_num_layer, # window_size=window_size, token_mixer_size=token_mixer_size) else : # 不用crss attention print("no cross attention fusion module") self.fusion_conv_5 = CNN(model_num*fea[4], fea[4], 3, 1) if self.modality_gate: print("use modality gate module") self.gate_layer = nn.Conv3d(fea[4], 2, 1, 1, 0) else : print("no modality gate module") self.fusion_conv_1 = CNN(model_num*fea[0], fea[0], 3, 1) self.fusion_conv_2 = CNN(model_num*fea[1], fea[1], 3, 1) self.fusion_conv_3 = CNN(model_num*fea[2], fea[2], 3, 1) self.fusion_conv_4 = CNN(model_num*fea[3], fea[3], 3, 1) # self.upcat_4 = PoolFormerUpcat(fea[4], fea[3], up_size=pool_size[3], num_layers=2) # self.upcat_3 = PoolFormerUpcat(fea[3], fea[2], up_size=pool_size[2], num_layers=2) # self.upcat_2 = PoolFormerUpcat(fea[2], fea[1], up_size=pool_size[1], num_layers=2) # self.upcat_1 = PoolFormerUpcat(fea[1], fea[5], up_size=pool_size[0], num_layers=2) self.upcat_4 = UpCat(3, fea[4], fea[3], fea[3], act, norm, dropout, upsample, pool_size=pool_size[3]) self.upcat_3 = UpCat(3, fea[3], fea[2], fea[2], act, norm, dropout, upsample, pool_size=pool_size[2]) self.upcat_2 = UpCat(3, fea[2], fea[1], fea[1], act, norm, dropout, upsample, pool_size=pool_size[1]) self.upcat_1 = UpCat(3, fea[1], fea[0], fea[5], act, norm, dropout, upsample, halves=False, pool_size=pool_size[0]) self.final_conv = nn.Conv3d(fea[5], out_channels, 1, 1) def forward(self, x): assert x.shape[1] == self.model_num, "输入模态不一致，请检查" encoder_x = self.multicnn_encoder(x) encoder_1 = torch.stack([encoder_x[i][4] for i in range(self.model_num)], dim=1) encoder_2 = torch.stack([encoder_x[i][3] for i in range(self.model_num)], dim=1) encoder_3 = torch.stack([encoder_x[i][2] for i in range(self.model_num)], dim=1) encoder_4 = torch.stack([encoder_x[i][1] for i in range(self.model_num)], dim=1) encoder_5 = torch.stack([encoder_x[i][0] for i in range(self.model_num)], dim=1) if self.cross_attention: encoder_5 = rearrange(encoder_5, "b n c d w h -> b (n c) d w h") fusion_out = self.cross_fusion_trans(encoder_5) fusion_out_cnn = self.fusion_conv_5(encoder_5) fusion_out = fusion_out + fusion_out_cnn else : # 不用cross attention encoder_5 = rearrange(encoder_5, "b n c d w h -> b (n c) d w h") fusion_out = self.fusion_conv_5(encoder_5) if self.modality_gate: # 使用modality gate fusion_out_tmp = self.gate_layer(fusion_out) fusion_out_2 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_tmp, scale_factor=self.pool_size[3], mode="trilinear")) fusion_out_4 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_2, scale_factor=self.pool_size[2], mode="trilinear")) fusion_out_8 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_4, scale_factor=self.pool_size[1], mode="trilinear")) fusion_out_16 = torch.sigmoid(torch.nn.functional.interpolate(fusion_out_8, scale_factor=self.pool_size[0], mode="trilinear")) # 筛选 encoder_1 = rearrange(encoder_1 * fusion_out_16.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") encoder_2 = rearrange(encoder_2 * fusion_out_8.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") encoder_3 = rearrange(encoder_3 * fusion_out_4.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") encoder_4 = rearrange(encoder_4 * fusion_out_2.unsqueeze(dim=2), "b n c d w h -> b (n c) d w h") else : # 不筛选 encoder_1 = rearrange(encoder_1 , "b n c d w h -> b (n c) d w h") encoder_2 = rearrange(encoder_2 , "b n c d w h -> b (n c) d w h") encoder_3 = rearrange(encoder_3 , "b n c d w h -> b (n c) d w h") encoder_4 = rearrange(encoder_4 , "b n c d w h -> b (n c) d w h") encoder_1_cnn = self.fusion_conv_1(encoder_1) encoder_2_cnn = self.fusion_conv_2(encoder_2) encoder_3_cnn = self.fusion_conv_3(encoder_3) encoder_4_cnn = self.fusion_conv_4(encoder_4) u4 = self.upcat_4(fusion_out, encoder_4_cnn) u3 = self.upcat_3(u4, encoder_3_cnn) u2 = self.upcat_2(u3, encoder_2_cnn) u1 = self.upcat_1(u2, encoder_1_cnn) logits = self.final_conv(u1) return logits

47.861042

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0.015303

0.016169

0.848797

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0.81232

0.801155

0.782002

0.774302

0

0.039967

0.308586

19,288

402

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47.9801

0.739127

0.074554

0

0.733333

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0.073288

0

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0.046667

false

0.003333

0.053333

0.003333

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1

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null

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3a64e5afe8d99d9c2b92fe09d9ddf237e836f16f

14,679

py

Python

test_script_amd.py

renxulei/python-redfish-lenovo

3545f9b10d08bbd8fb29195f5a3b6042a3826fc1

[ "Apache-2.0" ]

8

2018-08-20T07:00:56.000Z

2021-05-26T06:17:48.000Z

test_script_amd.py

renxulei/lenovo-redfish-library

98686ebdfc86bfc76c4223522b07efdb4d8eb3bf

[ "Apache-2.0" ]

null

test_script_amd.py

renxulei/lenovo-redfish-library

98686ebdfc86bfc76c4223522b07efdb4d8eb3bf

[ "Apache-2.0" ]

1

2018-11-21T09:31:40.000Z

### # # Lenovo Redfish Test Script for lenovo-redfish-library # # Copyright Notice: # # Copyright 2020 Lenovo Corporation # # 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 os import sys if __name__ == "__main__": # Change this according to the server you will test. ip = "10.245.39.153" user = "renxulei" password = "PASSW0RD12q" # Please define this according to your python environment, please ensure the version is 3.x #py_name = "python3" py_name = "python" ############# System ################ ##################################### msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_all_bios_attributes --type current" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_all_bios_attributes --type pending" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bios_attribute --attribute_name Q00001_Boot_Mode" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bios_attribute_metadata" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bios_attribute_available_value" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bios_attribute_available_value --attribute_name Q00001_Boot_Mode" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bios_bootmode" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_boot_order" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_boot_once" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_boot_once --type allow" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_cpu_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_memory_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_memory_inventory --id DevType2_DIMM1" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_ethernet_interfaces" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_storage" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_simple_storage" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_storage_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_power_state" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_event_log --type system" % (py_name, ip, user, password) print(msg) sys.stdout.flush() #os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_system_reset_types" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bios_attribute --attribute_name Q00301_Operating_Mode --attribute_value Maximum_Efficiency" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") #bootorder = '"ubuntu" "Hard Disk" "USB Storage" "CD/DVD Rom"' bootorder = '"Hard Drive" "CD/DVD Drive" "ubuntu" "Windows Boot Manager" "UEFI: PXE IP4 Mellanox Network Adapter"' msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_set_system_boot_order --bootorder %s" % (py_name, ip, user, password, bootorder) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bios_bootmode --bootmode UEFI_and_Legacy" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bios_password --password_name Q01000_Administrator_Password --new_password Aa123456 --old_password \"\" " % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bios_password --password_name Q01000_Administrator_Password --new_password \"\" --old_password Aa123456" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bios_default" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_system_power_state --reset_type On" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") ############# Manager ################ ##################### ################ msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_networkprotocol" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_serialinterfaces" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_ethernet_interfaces" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_hostinterfaces" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_ntp" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_virtual_media" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bmc_networkprotocol --service IPMI --enabled 0" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bmc_networkprotocol --service SNMP --enabled 0" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_export_ffdc --fsprotocol HTTP --fsip 10.103.62.175 --fsport 8080 --fsdir upload" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_mount_virtual_media --image bios.iso --fsprotocol NFS --fsip 10.245.100.159 --fsdir /home/nfs " % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_umount_virtual_media --image bios.iso" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_bmc_config_backup --backup_password Aa1234567 --httpip 10.103.62.175 --httpport 8080 --httpdir upload" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_bmc_config_restore --backup_password Aa1234567 --backup_file bmc-config.bin --httpip 10.103.62.175 --httpport 8080 --httpdir upload" % (py_name, ip, user, password) print(msg) sys.stdout.flush() #os.system(msg) print("") # Wait bmc to restart #sleep(180) msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s reset_bmc" % (py_name, ip, user, password) print(msg) sys.stdout.flush() # os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s set_bmc_ntp --ntp_server 10.103.62.178 10.245.100.159 --protocol_enabled 1" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") ############# Update ################ ##################################### msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_firmware_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") fsdir = "D:\\Workdata20190427\\work\\Task\\46-Redfish\\FW-Package\\20C\\AMD" image = "lnvgy_fw_uefi_cfe117k-5.10_anyos_32-64.rom" #image = "lnvgy_fw_bmc_ambt11n-2.53_anyos_arm.hpm" msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_update_firmware --image %s --target UEFI --fsdir %s" % (py_name, ip, user, password, image, fsdir) print(msg) sys.stdout.flush() os.system(msg) print("") ############# Chassis ################ ##################################### msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_pci_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_nic_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_fan_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_temperatures_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_psu_inventory" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_power_redundancy" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_power_voltages" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_power_metrics" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_power_limit" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") ############# Account ################ ##################### ################ msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_users" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_create_bmc_user --username abcd --password PASSW0RD12q --role Administrator" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_users" % (py_name, ip, "abcd", "PASSW0RD12q") print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s update_bmc_user_password --username abcd --password PASSW0RD=0" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s get_bmc_users" % (py_name, ip, "abcd", "PASSW0RD=0") print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s lenovo_create_bmc_user --username efjh --password PASSW0RD12q --role role1 --privileges RemoteConsoleAccess UserAccountManagement" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s delete_bmc_user --username abcd" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("") msg = "%s lenovo_redfish_client.py -i %s -u %s -p %s delete_bmc_user --username efjh" % (py_name, ip, user, password) print(msg) sys.stdout.flush() os.system(msg) print("")

33.437358

228

0.618911

2,236

14,679

3.88864

0.116279

0.108568

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0.774008

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0

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14,679

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null

0

1

0

7

c937779952b7bc5d3e9804f39a37aa3bbd4a38f3

9,606

py

Python

tests/test_tl.py

KTH-RPL-Planiacs/SpaTiaL

f4deccb340d2d0947529495d73311846bd67d0f9

[ "MIT" ]

null

tests/test_tl.py

KTH-RPL-Planiacs/SpaTiaL

f4deccb340d2d0947529495d73311846bd67d0f9

[ "MIT" ]

null

tests/test_tl.py

KTH-RPL-Planiacs/SpaTiaL

f4deccb340d2d0947529495d73311846bd67d0f9

[ "MIT" ]

null

import unittest import numpy as np from spatial.geometry import PolygonCollection, SpatialInterface, Circle, ObjectInTime from spatial.logic import Spatial class RightMovingDummyObject(ObjectInTime): def __init__(self, x, y): super().__init__() self._name = 'blue' self.start_x = x self.start_y = y def getObject(self, time) -> 'SpatialInterface': return PolygonCollection({Circle(np.array([self.start_x + time, self.start_y]), 1)}) def getObjectByIndex(self, idx: int) -> 'SpatialInterface': pass class LeftMovingDummyObject(ObjectInTime): def __init__(self, x, y): super().__init__() self._name = 'red' self.start_x = x self.start_y = y def getObject(self, time) -> 'SpatialInterface': return PolygonCollection({Circle(np.array([self.start_x - time, self.start_y]), 1)}) def getObjectByIndex(self, idx: int) -> 'SpatialInterface': pass class UnmovingObject(ObjectInTime): def __init__(self, x, y): super().__init__() self._name = 'green' self.start_x = x self.start_y = y def getObject(self, time) -> 'SpatialInterface': return PolygonCollection({Circle(np.array([self.start_x, self.start_y]), 1)}) def getObjectByIndex(self, idx: int) -> 'SpatialInterface': pass class TestTL(unittest.TestCase): def setUp(self): self.spatial = Spatial(quantitative=True) self.blue_t = RightMovingDummyObject(0, 0) self.green_t = UnmovingObject(50, 0) self.red_t = LeftMovingDummyObject(100, 0) def test_always(self): tree = self.spatial.parse('(G(!(blue touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) x = range(0, 100, 1) y = [] for i in x: y.append(self.spatial.interpret(tree, 0, i)) for i in range(len(y) - 1): self.assertGreaterEqual(y[i], y[i + 1]) # the series should be monotone decreasing self.assertGreater(y[42], 0) self.assertLess(y[44], 0) self.assertLess(y[99], 0) def test_always_bounded(self): tree = self.spatial.parse('(G[0,20](!(blue touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) x = range(0, 50, 1) y = [] for i in x: y.append(self.spatial.interpret(tree, 0, i)) for i in range(len(y) - 1): self.assertGreaterEqual(y[i], y[i + 1]) # the series should be monotone decreasing if i > 20: self.assertEqual(y[i], y[i + 1]) # the always is bounded self.assertGreater(y[-1], 0) # accepting def test_eventually(self): tree = self.spatial.parse('(F(red touch green))') self.spatial.assign_variable('red', self.red_t) self.spatial.assign_variable('green', self.green_t) x = range(0, 100, 1) y = [] for i in x: y.append(self.spatial.interpret(tree, 0, i)) for i in range(len(y) - 1): self.assertLessEqual(y[i], y[i + 1]) # the series should be monotone increasing self.assertLess(y[42], 0) self.assertGreater(y[44], 0) # circles are touching at timestep 43 because epsilon is default 5 self.assertGreater(y[-1], 0) # accepting def test_eventually_bounded(self): tree = self.spatial.parse('(F[0,20](red touch green))') self.spatial.assign_variable('red', self.red_t) self.spatial.assign_variable('green', self.green_t) x = range(0, 50, 1) y = [] for i in x: y.append(self.spatial.interpret(tree, 0, i)) for i in range(len(y) - 1): self.assertLessEqual(y[i], y[i + 1]) # the series should be monotone increasing if i > 20: self.assertEqual(y[i], y[i + 1]) # the eventually is bounded self.assertLess(y[-1], 0) # accepting def test_until(self): tree = self.spatial.parse('((!(red touch green)) U (blue touch green))') green_t = UnmovingObject(30, 0) self.spatial.assign_variable('red', self.red_t) self.spatial.assign_variable('green', green_t) self.spatial.assign_variable('blue', self.blue_t) x = range(0, 100, 1) y = [self.spatial.interpret(tree, 0, i) for i in x] self.assertGreater(y[-1], 0) # accepting def test_until_bounded(self): tree = self.spatial.parse('((!(red touch green)) U[0,20] (blue touch green))') green_t = UnmovingObject(30, 0) self.spatial.assign_variable('red', self.red_t) self.spatial.assign_variable('green', green_t) self.spatial.assign_variable('blue', self.blue_t) x = range(0, 100, 1) y = [self.spatial.interpret(tree, 0, i) for i in x] for i in range(21, len(y) - 1): self.assertEqual(y[i], y[i + 1]) # the until is bounded self.assertGreater(y[-1], 0) # accepting def test_and(self): tree = self.spatial.parse('(G(!(blue touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) always_result = self.spatial.interpret(tree, 0, 100) tree = self.spatial.parse('(F(red touch green))') self.spatial.assign_variable('red', self.red_t) self.spatial.assign_variable('green', self.green_t) eventually_result = self.spatial.interpret(tree, 0, 100) tree = self.spatial.parse('((G(!(blue touch green))) & (F(red touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) self.spatial.assign_variable('red', self.red_t) combined_result = self.spatial.interpret(tree, 0, 100) self.assertIsNotNone(eventually_result) self.assertIsNotNone(always_result) self.assertIsNotNone(combined_result) self.assertEqual(combined_result, min(always_result, eventually_result)) def test_or(self): tree = self.spatial.parse('(G(!(blue touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) always_result = self.spatial.interpret(tree, 0, 100) tree = self.spatial.parse('(F(red touch green))') self.spatial.assign_variable('red', self.red_t) self.spatial.assign_variable('green', self.green_t) eventually_result = self.spatial.interpret(tree, 0, 100) tree = self.spatial.parse('((G(!(blue touch green))) | (F(red touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) self.spatial.assign_variable('red', self.red_t) combined_result = self.spatial.interpret(tree, 0, 100) self.assertIsNotNone(eventually_result) self.assertIsNotNone(always_result) self.assertIsNotNone(combined_result) self.assertEqual(combined_result, max(always_result, eventually_result)) def test_not(self): tree = self.spatial.parse('(G(!(blue touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) always_result = self.spatial.interpret(tree, 0, 100) tree = self.spatial.parse('(!t(G(!(blue touch green))))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) negated_result = self.spatial.interpret(tree, 0, 100) self.assertIsNotNone(always_result) self.assertIsNotNone(negated_result) self.assertEqual(negated_result, -always_result) def test_implies(self): tree = self.spatial.parse('(G(!(blue touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) always_result = self.spatial.interpret(tree, 0, 100) tree = self.spatial.parse('(F(red touch green))') self.spatial.assign_variable('red', self.red_t) self.spatial.assign_variable('green', self.green_t) eventually_result = self.spatial.interpret(tree, 0, 100) tree = self.spatial.parse('((G(!(blue touch green))) ->t (F(red touch green)))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) self.spatial.assign_variable('red', self.red_t) combined_result = self.spatial.interpret(tree, 0, 100) self.assertIsNotNone(eventually_result) self.assertIsNotNone(always_result) self.assertIsNotNone(combined_result) self.assertEqual(combined_result, max(-always_result, eventually_result)) def test_next(self): tree = self.spatial.parse('(blue touch green)') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) result = self.spatial.interpret(tree, 1, 10) tree = self.spatial.parse('(X(blue touch green))') self.spatial.assign_variable('blue', self.blue_t) self.spatial.assign_variable('green', self.green_t) next_result = self.spatial.interpret(tree, 0, 10) self.assertIsNotNone(result) self.assertIsNotNone(next_result) self.assertEqual(result, next_result) if __name__ == '__main__': unittest.main()

36.804598

104

0.633354

1,256

9,606

4.694268

0.08758

0.152985

0.123982

0.182327

0.85787

0.847693

0.818521

0.813602

0.803596

0.772218

0

0.021256

0.231106

9,606

260

105

36.946154

0.777011

0.036123

0

0.6875

0

0.093131

0

0.182292

1

0.109375

false

0.015625

0.020833

0.015625

0.166667

0

null

0

1

0

null

0

7

a374ddf1156ed93431c38d76535f3897186e2ad5

41,284

py

Python

tensorflow/python/estimator/canned/dnn_test.py

Vaasgeet/tensorflow

08ed32dbb9e8f67eec9efce3807b5bdb3933eb2f

[ "Apache-2.0" ]

1

2017-06-28T10:56:40.000Z

tensorflow/python/estimator/canned/dnn_test.py

LaiPeter/tensorflow

08ed32dbb9e8f67eec9efce3807b5bdb3933eb2f

[ "Apache-2.0" ]

null

tensorflow/python/estimator/canned/dnn_test.py

LaiPeter/tensorflow

08ed32dbb9e8f67eec9efce3807b5bdb3933eb2f

[ "Apache-2.0" ]

null

# Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by 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 dnn.py.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import shutil import tempfile import numpy as np import six from tensorflow.core.example import example_pb2 from tensorflow.core.example import feature_pb2 from tensorflow.core.framework import summary_pb2 from tensorflow.python.estimator.canned import dnn from tensorflow.python.estimator.canned import dnn_testing_utils from tensorflow.python.estimator.canned import metric_keys from tensorflow.python.estimator.canned import prediction_keys from tensorflow.python.estimator.export import export from tensorflow.python.estimator.inputs import numpy_io from tensorflow.python.estimator.inputs import pandas_io from tensorflow.python.feature_column import feature_column from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.ops import data_flow_ops from tensorflow.python.ops import parsing_ops from tensorflow.python.platform import gfile from tensorflow.python.platform import test from tensorflow.python.summary import summary as summary_lib from tensorflow.python.summary.writer import writer_cache from tensorflow.python.training import checkpoint_utils from tensorflow.python.training import input as input_lib from tensorflow.python.training import queue_runner from tensorflow.python.training import session_run_hook try: # pylint: disable=g-import-not-at-top import pandas as pd HAS_PANDAS = True except IOError: # Pandas writes a temporary file during import. If it fails, don't use pandas. HAS_PANDAS = False except ImportError: HAS_PANDAS = False class DNNModelFnTest(dnn_testing_utils.BaseDNNModelFnTest, test.TestCase): def __init__(self, methodName='runTest'): # pylint: disable=invalid-name test.TestCase.__init__(self, methodName) dnn_testing_utils.BaseDNNModelFnTest.__init__(self, dnn._dnn_model_fn) class DNNRegressorEvaluateTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def test_one_dim(self): """Asserts evaluation metrics for one-dimensional input and logits.""" # Create checkpoint: num_inputs=1, hidden_units=(2, 2), num_outputs=1. global_step = 100 dnn_testing_utils.create_checkpoint( (([[.6, .5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1.], [1.]], [.3]),), global_step, self._model_dir) # Create DNNRegressor and evaluate. dnn_regressor = dnn.DNNRegressor( hidden_units=(2, 2), feature_columns=[feature_column.numeric_column('age')], model_dir=self._model_dir) def _input_fn(): return {'age': [[10.]]}, [[1.]] # Uses identical numbers as DNNModelTest.test_one_dim_logits. # See that test for calculation of logits. # logits = [[-2.08]] => predictions = [-2.08]. # loss = (1+2.08)^2 = 9.4864 expected_loss = 9.4864 self.assertAllClose({ metric_keys.MetricKeys.LOSS: expected_loss, metric_keys.MetricKeys.LOSS_MEAN: expected_loss, ops.GraphKeys.GLOBAL_STEP: global_step }, dnn_regressor.evaluate(input_fn=_input_fn, steps=1)) def test_multi_dim(self): """Asserts evaluation metrics for multi-dimensional input and logits.""" # Create checkpoint: num_inputs=2, hidden_units=(2, 2), num_outputs=3. global_step = 100 dnn_testing_utils.create_checkpoint( (([[.6, .5], [-.6, -.5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1., 1., .5], [-1., 1., .5]], [.3, -.3, .0]),), global_step, self._model_dir) label_dimension = 3 # Create DNNRegressor and evaluate. dnn_regressor = dnn.DNNRegressor( hidden_units=(2, 2), feature_columns=[feature_column.numeric_column('age', shape=[2])], label_dimension=label_dimension, model_dir=self._model_dir) def _input_fn(): return {'age': [[10., 8.]]}, [[1., -1., 0.5]] # Uses identical numbers as # DNNModelFnTest.test_multi_dim_input_multi_dim_logits. # See that test for calculation of logits. # logits = [[-0.48, 0.48, 0.39]] # loss = (1+0.48)^2 + (-1-0.48)^2 + (0.5-0.39)^2 = 4.3929 expected_loss = 4.3929 self.assertAllClose({ metric_keys.MetricKeys.LOSS: expected_loss, metric_keys.MetricKeys.LOSS_MEAN: expected_loss / label_dimension, ops.GraphKeys.GLOBAL_STEP: global_step }, dnn_regressor.evaluate(input_fn=_input_fn, steps=1)) class DNNClassifierEvaluateTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def test_one_dim(self): """Asserts evaluation metrics for one-dimensional input and logits.""" global_step = 100 dnn_testing_utils.create_checkpoint( (([[.6, .5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1.], [1.]], [.3]),), global_step, self._model_dir) dnn_classifier = dnn.DNNClassifier( hidden_units=(2, 2), feature_columns=[feature_column.numeric_column('age')], model_dir=self._model_dir) def _input_fn(): # batch_size = 2, one false label, and one true. return {'age': [[10.], [10.]]}, [[1], [0]] # Uses identical numbers as DNNModelTest.test_one_dim_logits. # See that test for calculation of logits. # logits = [[-2.08], [-2.08]] => # logistic = 1/(1 + exp(-logits)) = [[0.11105597], [0.11105597]] # loss = -1. * log(0.111) -1. * log(0.889) = 2.31544200 expected_loss = 2.31544200 self.assertAllClose({ metric_keys.MetricKeys.LOSS: expected_loss, metric_keys.MetricKeys.LOSS_MEAN: expected_loss / 2., metric_keys.MetricKeys.ACCURACY: 0.5, metric_keys.MetricKeys.PREDICTION_MEAN: 0.11105597, metric_keys.MetricKeys.LABEL_MEAN: 0.5, metric_keys.MetricKeys.ACCURACY_BASELINE: 0.5, # There is no good way to calculate AUC for only two data points. But # that is what the algorithm returns. metric_keys.MetricKeys.AUC: 0.5, metric_keys.MetricKeys.AUC_PR: 0.75, ops.GraphKeys.GLOBAL_STEP: global_step }, dnn_classifier.evaluate(input_fn=_input_fn, steps=1)) def test_multi_dim(self): """Asserts evaluation metrics for multi-dimensional input and logits.""" global_step = 100 dnn_testing_utils.create_checkpoint( (([[.6, .5], [-.6, -.5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1., 1., .5], [-1., 1., .5]], [.3, -.3, .0]),), global_step, self._model_dir) n_classes = 3 dnn_classifier = dnn.DNNClassifier( hidden_units=(2, 2), feature_columns=[feature_column.numeric_column('age', shape=[2])], n_classes=n_classes, model_dir=self._model_dir) def _input_fn(): # batch_size = 2, one false label, and one true. return {'age': [[10., 8.], [10., 8.]]}, [[1], [0]] # Uses identical numbers as # DNNModelFnTest.test_multi_dim_input_multi_dim_logits. # See that test for calculation of logits. # logits = [[-0.48, 0.48, 0.39], [-0.48, 0.48, 0.39]] # probabilities = exp(logits)/sum(exp(logits)) # = [[0.16670536, 0.43538380, 0.39791084], # [0.16670536, 0.43538380, 0.39791084]] # loss = -log(0.43538380) - log(0.16670536) expected_loss = 2.62305466 self.assertAllClose({ metric_keys.MetricKeys.LOSS: expected_loss, metric_keys.MetricKeys.LOSS_MEAN: expected_loss / 2, metric_keys.MetricKeys.ACCURACY: 0.5, ops.GraphKeys.GLOBAL_STEP: global_step }, dnn_classifier.evaluate(input_fn=_input_fn, steps=1)) class DNNRegressorPredictTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def test_one_dim(self): """Asserts predictions for one-dimensional input and logits.""" # Create checkpoint: num_inputs=1, hidden_units=(2, 2), num_outputs=1. dnn_testing_utils.create_checkpoint( (([[.6, .5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1.], [1.]], [.3]),), global_step=0, model_dir=self._model_dir) # Create DNNRegressor and predict. dnn_regressor = dnn.DNNRegressor( hidden_units=(2, 2), feature_columns=(feature_column.numeric_column('x'),), model_dir=self._model_dir) input_fn = numpy_io.numpy_input_fn( x={'x': np.array([[10.]])}, batch_size=1, shuffle=False) # Uses identical numbers as DNNModelTest.test_one_dim_logits. # See that test for calculation of logits. # logits = [[-2.08]] => predictions = [-2.08]. self.assertAllClose({ prediction_keys.PredictionKeys.PREDICTIONS: [-2.08], }, next(dnn_regressor.predict(input_fn=input_fn))) def test_multi_dim(self): """Asserts predictions for multi-dimensional input and logits.""" # Create checkpoint: num_inputs=2, hidden_units=(2, 2), num_outputs=3. dnn_testing_utils.create_checkpoint( (([[.6, .5], [-.6, -.5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1., 1., .5], [-1., 1., .5]], [.3, -.3, .0]),), 100, self._model_dir) # Create DNNRegressor and predict. dnn_regressor = dnn.DNNRegressor( hidden_units=(2, 2), feature_columns=(feature_column.numeric_column('x', shape=(2,)),), label_dimension=3, model_dir=self._model_dir) input_fn = numpy_io.numpy_input_fn( # Inputs shape is (batch_size, num_inputs). x={'x': np.array([[10., 8.]])}, batch_size=1, shuffle=False) # Uses identical numbers as # DNNModelFnTest.test_multi_dim_input_multi_dim_logits. # See that test for calculation of logits. # logits = [[-0.48, 0.48, 0.39]] => predictions = [-0.48, 0.48, 0.39] self.assertAllClose({ prediction_keys.PredictionKeys.PREDICTIONS: [-0.48, 0.48, 0.39], }, next(dnn_regressor.predict(input_fn=input_fn))) class DNNClassifierPredictTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def test_one_dim(self): """Asserts predictions for one-dimensional input and logits.""" dnn_testing_utils.create_checkpoint( (([[.6, .5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1.], [1.]], [.3]),), global_step=0, model_dir=self._model_dir) dnn_classifier = dnn.DNNClassifier( hidden_units=(2, 2), feature_columns=(feature_column.numeric_column('x'),), model_dir=self._model_dir) input_fn = numpy_io.numpy_input_fn( x={'x': np.array([[10.]])}, batch_size=1, shuffle=False) # Uses identical numbers as DNNModelTest.test_one_dim_logits. # See that test for calculation of logits. # logits = [-2.08] => # logistic = exp(-2.08)/(1 + exp(-2.08)) = 0.11105597 # probabilities = [1-logistic, logistic] = [0.88894403, 0.11105597] # class_ids = argmax(probabilities) = [0] self.assertAllClose({ prediction_keys.PredictionKeys.LOGITS: [-2.08], prediction_keys.PredictionKeys.LOGISTIC: [0.11105597], prediction_keys.PredictionKeys.PROBABILITIES: [0.88894403, 0.11105597], prediction_keys.PredictionKeys.CLASS_IDS: [0], }, next(dnn_classifier.predict(input_fn=input_fn))) def test_multi_dim(self): """Asserts predictions for multi-dimensional input and logits.""" dnn_testing_utils.create_checkpoint( (([[.6, .5], [-.6, -.5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1., 1., .5], [-1., 1., .5]], [.3, -.3, .0]),), global_step=0, model_dir=self._model_dir) dnn_classifier = dnn.DNNClassifier( hidden_units=(2, 2), feature_columns=(feature_column.numeric_column('x', shape=(2,)),), n_classes=3, model_dir=self._model_dir) input_fn = numpy_io.numpy_input_fn( # Inputs shape is (batch_size, num_inputs). x={'x': np.array([[10., 8.]])}, batch_size=1, shuffle=False) # Uses identical numbers as # DNNModelFnTest.test_multi_dim_input_multi_dim_logits. # See that test for calculation of logits. # logits = [-0.48, 0.48, 0.39] => # probabilities[i] = exp(logits[i]) / sum_j exp(logits[j]) => # probabilities = [0.16670536, 0.43538380, 0.39791084] # class_ids = argmax(probabilities) = [1] predictions = next(dnn_classifier.predict(input_fn=input_fn)) self.assertItemsEqual( [prediction_keys.PredictionKeys.LOGITS, prediction_keys.PredictionKeys.PROBABILITIES, prediction_keys.PredictionKeys.CLASS_IDS, prediction_keys.PredictionKeys.CLASSES], six.iterkeys(predictions)) self.assertAllClose( [-0.48, 0.48, 0.39], predictions[prediction_keys.PredictionKeys.LOGITS]) self.assertAllClose( [0.16670536, 0.43538380, 0.39791084], predictions[prediction_keys.PredictionKeys.PROBABILITIES]) self.assertAllEqual( [1], predictions[prediction_keys.PredictionKeys.CLASS_IDS]) self.assertAllEqual( [b'1'], predictions[prediction_keys.PredictionKeys.CLASSES]) def _queue_parsed_features(feature_map): tensors_to_enqueue = [] keys = [] for key, tensor in six.iteritems(feature_map): keys.append(key) tensors_to_enqueue.append(tensor) queue_dtypes = [x.dtype for x in tensors_to_enqueue] input_queue = data_flow_ops.FIFOQueue(capacity=100, dtypes=queue_dtypes) queue_runner.add_queue_runner( queue_runner.QueueRunner( input_queue, [input_queue.enqueue(tensors_to_enqueue)])) dequeued_tensors = input_queue.dequeue() return {keys[i]: dequeued_tensors[i] for i in range(len(dequeued_tensors))} class DNNRegressorIntegrationTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def _test_complete_flow( self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension, label_dimension, batch_size): feature_columns = [ feature_column.numeric_column('x', shape=(input_dimension,))] est = dnn.DNNRegressor( hidden_units=(2, 2), feature_columns=feature_columns, label_dimension=label_dimension, model_dir=self._model_dir) # TRAIN num_steps = 10 est.train(train_input_fn, steps=num_steps) # EVALUTE scores = est.evaluate(eval_input_fn) self.assertEqual(num_steps, scores[ops.GraphKeys.GLOBAL_STEP]) self.assertIn('loss', six.iterkeys(scores)) # PREDICT predictions = np.array([ x[prediction_keys.PredictionKeys.PREDICTIONS] for x in est.predict(predict_input_fn) ]) self.assertAllEqual((batch_size, label_dimension), predictions.shape) # EXPORT feature_spec = feature_column.make_parse_example_spec(feature_columns) serving_input_receiver_fn = export.build_parsing_serving_input_receiver_fn( feature_spec) export_dir = est.export_savedmodel(tempfile.mkdtemp(), serving_input_receiver_fn) self.assertTrue(gfile.Exists(export_dir)) def test_numpy_input_fn(self): """Tests complete flow with numpy_input_fn.""" label_dimension = 2 batch_size = 10 data = np.linspace(0., 2., batch_size * label_dimension, dtype=np.float32) data = data.reshape(batch_size, label_dimension) # learn y = x train_input_fn = numpy_io.numpy_input_fn( x={'x': data}, y=data, batch_size=batch_size, num_epochs=None, shuffle=True) eval_input_fn = numpy_io.numpy_input_fn( x={'x': data}, y=data, batch_size=batch_size, shuffle=False) predict_input_fn = numpy_io.numpy_input_fn( x={'x': data}, batch_size=batch_size, shuffle=False) self._test_complete_flow( train_input_fn=train_input_fn, eval_input_fn=eval_input_fn, predict_input_fn=predict_input_fn, input_dimension=label_dimension, label_dimension=label_dimension, batch_size=batch_size) def test_pandas_input_fn(self): """Tests complete flow with pandas_input_fn.""" if not HAS_PANDAS: return label_dimension = 1 batch_size = 10 data = np.linspace(0., 2., batch_size, dtype=np.float32) x = pd.DataFrame({'x': data}) y = pd.Series(data) train_input_fn = pandas_io.pandas_input_fn( x=x, y=y, batch_size=batch_size, num_epochs=None, shuffle=True) eval_input_fn = pandas_io.pandas_input_fn( x=x, y=y, batch_size=batch_size, shuffle=False) predict_input_fn = pandas_io.pandas_input_fn( x=x, batch_size=batch_size, shuffle=False) self._test_complete_flow( train_input_fn=train_input_fn, eval_input_fn=eval_input_fn, predict_input_fn=predict_input_fn, input_dimension=label_dimension, label_dimension=label_dimension, batch_size=batch_size) def test_input_fn_from_parse_example(self): """Tests complete flow with input_fn constructed from parse_example.""" label_dimension = 2 batch_size = 10 data = np.linspace(0., 2., batch_size * label_dimension, dtype=np.float32) data = data.reshape(batch_size, label_dimension) serialized_examples = [] for datum in data: example = example_pb2.Example(features=feature_pb2.Features( feature={ 'x': feature_pb2.Feature( float_list=feature_pb2.FloatList(value=datum)), 'y': feature_pb2.Feature( float_list=feature_pb2.FloatList(value=datum)), })) serialized_examples.append(example.SerializeToString()) feature_spec = { 'x': parsing_ops.FixedLenFeature([label_dimension], dtypes.float32), 'y': parsing_ops.FixedLenFeature([label_dimension], dtypes.float32), } def _train_input_fn(): feature_map = parsing_ops.parse_example(serialized_examples, feature_spec) features = _queue_parsed_features(feature_map) labels = features.pop('y') return features, labels def _eval_input_fn(): feature_map = parsing_ops.parse_example( input_lib.limit_epochs(serialized_examples, num_epochs=1), feature_spec) features = _queue_parsed_features(feature_map) labels = features.pop('y') return features, labels def _predict_input_fn(): feature_map = parsing_ops.parse_example( input_lib.limit_epochs(serialized_examples, num_epochs=1), feature_spec) features = _queue_parsed_features(feature_map) features.pop('y') return features, None self._test_complete_flow( train_input_fn=_train_input_fn, eval_input_fn=_eval_input_fn, predict_input_fn=_predict_input_fn, input_dimension=label_dimension, label_dimension=label_dimension, batch_size=batch_size) class DNNClassifierIntegrationTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def _test_complete_flow( self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension, n_classes, batch_size): feature_columns = [ feature_column.numeric_column('x', shape=(input_dimension,))] est = dnn.DNNClassifier( hidden_units=(2, 2), feature_columns=feature_columns, n_classes=n_classes, model_dir=self._model_dir) # TRAIN num_steps = 10 est.train(train_input_fn, steps=num_steps) # EVALUTE scores = est.evaluate(eval_input_fn) self.assertEqual(num_steps, scores[ops.GraphKeys.GLOBAL_STEP]) self.assertIn('loss', six.iterkeys(scores)) # PREDICT predicted_proba = np.array([ x[prediction_keys.PredictionKeys.PROBABILITIES] for x in est.predict(predict_input_fn) ]) self.assertAllEqual((batch_size, n_classes), predicted_proba.shape) # EXPORT feature_spec = feature_column.make_parse_example_spec(feature_columns) serving_input_receiver_fn = export.build_parsing_serving_input_receiver_fn( feature_spec) export_dir = est.export_savedmodel(tempfile.mkdtemp(), serving_input_receiver_fn) self.assertTrue(gfile.Exists(export_dir)) def test_numpy_input_fn(self): """Tests complete flow with numpy_input_fn.""" n_classes = 2 input_dimension = 2 batch_size = 10 data = np.linspace(0., 2., batch_size * input_dimension, dtype=np.float32) x_data = data.reshape(batch_size, input_dimension) y_data = np.reshape(data[:batch_size], (batch_size, 1)) # learn y = x train_input_fn = numpy_io.numpy_input_fn( x={'x': x_data}, y=y_data, batch_size=batch_size, num_epochs=None, shuffle=True) eval_input_fn = numpy_io.numpy_input_fn( x={'x': x_data}, y=y_data, batch_size=batch_size, shuffle=False) predict_input_fn = numpy_io.numpy_input_fn( x={'x': x_data}, batch_size=batch_size, shuffle=False) self._test_complete_flow( train_input_fn=train_input_fn, eval_input_fn=eval_input_fn, predict_input_fn=predict_input_fn, input_dimension=input_dimension, n_classes=n_classes, batch_size=batch_size) def test_pandas_input_fn(self): """Tests complete flow with pandas_input_fn.""" if not HAS_PANDAS: return input_dimension = 1 n_classes = 2 batch_size = 10 data = np.linspace(0., 2., batch_size, dtype=np.float32) x = pd.DataFrame({'x': data}) y = pd.Series(data) train_input_fn = pandas_io.pandas_input_fn( x=x, y=y, batch_size=batch_size, num_epochs=None, shuffle=True) eval_input_fn = pandas_io.pandas_input_fn( x=x, y=y, batch_size=batch_size, shuffle=False) predict_input_fn = pandas_io.pandas_input_fn( x=x, batch_size=batch_size, shuffle=False) self._test_complete_flow( train_input_fn=train_input_fn, eval_input_fn=eval_input_fn, predict_input_fn=predict_input_fn, input_dimension=input_dimension, n_classes=n_classes, batch_size=batch_size) def test_input_fn_from_parse_example(self): """Tests complete flow with input_fn constructed from parse_example.""" input_dimension = 2 n_classes = 2 batch_size = 10 data = np.linspace(0., 2., batch_size * input_dimension, dtype=np.float32) data = data.reshape(batch_size, input_dimension) serialized_examples = [] for datum in data: example = example_pb2.Example(features=feature_pb2.Features( feature={ 'x': feature_pb2.Feature( float_list=feature_pb2.FloatList(value=datum)), 'y': feature_pb2.Feature( float_list=feature_pb2.FloatList(value=datum[:1])), })) serialized_examples.append(example.SerializeToString()) feature_spec = { 'x': parsing_ops.FixedLenFeature([input_dimension], dtypes.float32), 'y': parsing_ops.FixedLenFeature([1], dtypes.float32), } def _train_input_fn(): feature_map = parsing_ops.parse_example(serialized_examples, feature_spec) features = _queue_parsed_features(feature_map) labels = features.pop('y') return features, labels def _eval_input_fn(): feature_map = parsing_ops.parse_example( input_lib.limit_epochs(serialized_examples, num_epochs=1), feature_spec) features = _queue_parsed_features(feature_map) labels = features.pop('y') return features, labels def _predict_input_fn(): feature_map = parsing_ops.parse_example( input_lib.limit_epochs(serialized_examples, num_epochs=1), feature_spec) features = _queue_parsed_features(feature_map) features.pop('y') return features, None self._test_complete_flow( train_input_fn=_train_input_fn, eval_input_fn=_eval_input_fn, predict_input_fn=_predict_input_fn, input_dimension=input_dimension, n_classes=n_classes, batch_size=batch_size) class _SummaryHook(session_run_hook.SessionRunHook): """Saves summaries every N steps.""" def __init__(self): self._summaries = [] def begin(self): self._summary_op = summary_lib.merge_all() def before_run(self, run_context): return session_run_hook.SessionRunArgs({'summary': self._summary_op}) def after_run(self, run_context, run_values): s = summary_pb2.Summary() s.ParseFromString(run_values.results['summary']) self._summaries.append(s) def summaries(self): return tuple(self._summaries) def _assert_checkpoint( testcase, global_step, input_units, hidden_units, output_units, model_dir): """Asserts checkpoint contains expected variables with proper shapes. Args: testcase: A TestCase instance. global_step: Expected global step value. input_units: The dimension of input layer. hidden_units: Iterable of integer sizes for the hidden layers. output_units: The dimension of output layer (logits). model_dir: The model directory. """ shapes = { name: shape for (name, shape) in checkpoint_utils.list_variables(model_dir) } # Global step. testcase.assertEqual([], shapes[ops.GraphKeys.GLOBAL_STEP]) testcase.assertEqual( global_step, checkpoint_utils.load_variable( model_dir, ops.GraphKeys.GLOBAL_STEP)) # Hidden layer weights. prev_layer_units = input_units for i in range(len(hidden_units)): layer_units = hidden_units[i] testcase.assertAllEqual( (prev_layer_units, layer_units), shapes[dnn_testing_utils.HIDDEN_WEIGHTS_NAME_PATTERN % i]) testcase.assertAllEqual( (layer_units,), shapes[dnn_testing_utils.HIDDEN_BIASES_NAME_PATTERN % i]) prev_layer_units = layer_units # Output layer weights. testcase.assertAllEqual((prev_layer_units, output_units), shapes[dnn_testing_utils.LOGITS_WEIGHTS_NAME]) testcase.assertAllEqual((output_units,), shapes[dnn_testing_utils.LOGITS_BIASES_NAME]) def _assert_simple_summary(testcase, expected_values, actual_summary): """Assert summary the specified simple values. Args: testcase: A TestCase instance. expected_values: Dict of expected tags and simple values. actual_summary: `summary_pb2.Summary`. """ testcase.assertAllClose(expected_values, { v.tag: v.simple_value for v in actual_summary.value if (v.tag in expected_values) }) class DNNRegressorTrainTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def test_from_scratch_with_default_optimizer(self): hidden_units = (2, 2) dnn_regressor = dnn.DNNRegressor( hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), model_dir=self._model_dir) # Train for a few steps, then validate final checkpoint. num_steps = 5 dnn_regressor.train( input_fn=lambda: ({'age': ((1,),)}, ((10,),)), steps=num_steps) _assert_checkpoint( self, num_steps, input_units=1, hidden_units=hidden_units, output_units=1, model_dir=self._model_dir) def test_from_scratch(self): hidden_units = (2, 2) mock_optimizer = dnn_testing_utils.mock_optimizer( self, hidden_units=hidden_units) dnn_regressor = dnn.DNNRegressor( hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), optimizer=mock_optimizer, model_dir=self._model_dir) self.assertEqual(0, mock_optimizer.minimize.call_count) # Train for a few steps, then validate optimizer, summaries, and # checkpoint. num_steps = 5 summary_hook = _SummaryHook() dnn_regressor.train( input_fn=lambda: ({'age': ((1,),)}, ((5.,),)), steps=num_steps, hooks=(summary_hook,)) self.assertEqual(1, mock_optimizer.minimize.call_count) _assert_checkpoint( self, num_steps, input_units=1, hidden_units=hidden_units, output_units=1, model_dir=self._model_dir) summaries = summary_hook.summaries() self.assertEqual(num_steps, len(summaries)) for summary in summaries: summary_keys = [v.tag for v in summary.value] self.assertIn(metric_keys.MetricKeys.LOSS, summary_keys) self.assertIn(metric_keys.MetricKeys.LOSS_MEAN, summary_keys) def test_one_dim(self): """Asserts train loss for one-dimensional input and logits.""" base_global_step = 100 hidden_units = (2, 2) dnn_testing_utils.create_checkpoint( (([[.6, .5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1.], [1.]], [.3]),), base_global_step, self._model_dir) # Uses identical numbers as DNNModelFnTest.test_one_dim_logits. # See that test for calculation of logits. # logits = [-2.08] => predictions = [-2.08] # loss = (1 + 2.08)^2 = 9.4864 expected_loss = 9.4864 mock_optimizer = dnn_testing_utils.mock_optimizer( self, hidden_units=hidden_units, expected_loss=expected_loss) dnn_regressor = dnn.DNNRegressor( hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), optimizer=mock_optimizer, model_dir=self._model_dir) self.assertEqual(0, mock_optimizer.minimize.call_count) # Train for a few steps, then validate optimizer, summaries, and # checkpoint. num_steps = 5 summary_hook = _SummaryHook() dnn_regressor.train( input_fn=lambda: ({'age': [[10.]]}, [[1.]]), steps=num_steps, hooks=(summary_hook,)) self.assertEqual(1, mock_optimizer.minimize.call_count) summaries = summary_hook.summaries() self.assertEqual(num_steps, len(summaries)) for summary in summaries: _assert_simple_summary( self, { metric_keys.MetricKeys.LOSS_MEAN: expected_loss, 'dnn/dnn/hiddenlayer_0_fraction_of_zero_values': 0., 'dnn/dnn/hiddenlayer_1_fraction_of_zero_values': 0.5, 'dnn/dnn/logits_fraction_of_zero_values': 0., metric_keys.MetricKeys.LOSS: expected_loss, }, summary) _assert_checkpoint( self, base_global_step + num_steps, input_units=1, hidden_units=hidden_units, output_units=1, model_dir=self._model_dir) def test_multi_dim(self): """Asserts train loss for multi-dimensional input and logits.""" base_global_step = 100 hidden_units = (2, 2) dnn_testing_utils.create_checkpoint( (([[.6, .5], [-.6, -.5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1., 1., .5], [-1., 1., .5]], [.3, -.3, .0]),), base_global_step, self._model_dir) input_dimension = 2 label_dimension = 3 # Uses identical numbers as # DNNModelFnTest.test_multi_dim_input_multi_dim_logits. # See that test for calculation of logits. # logits = [[-0.48, 0.48, 0.39]] # loss = (1+0.48)^2 + (-1-0.48)^2 + (0.5-0.39)^2 = 4.3929 expected_loss = 4.3929 mock_optimizer = dnn_testing_utils.mock_optimizer( self, hidden_units=hidden_units, expected_loss=expected_loss) dnn_regressor = dnn.DNNRegressor( hidden_units=hidden_units, feature_columns=[ feature_column.numeric_column('age', shape=[input_dimension])], label_dimension=label_dimension, optimizer=mock_optimizer, model_dir=self._model_dir) self.assertEqual(0, mock_optimizer.minimize.call_count) # Train for a few steps, then validate optimizer, summaries, and # checkpoint. num_steps = 5 summary_hook = _SummaryHook() dnn_regressor.train( input_fn=lambda: ({'age': [[10., 8.]]}, [[1., -1., 0.5]]), steps=num_steps, hooks=(summary_hook,)) self.assertEqual(1, mock_optimizer.minimize.call_count) summaries = summary_hook.summaries() self.assertEqual(num_steps, len(summaries)) for summary in summaries: _assert_simple_summary( self, { metric_keys.MetricKeys.LOSS_MEAN: expected_loss / label_dimension, 'dnn/dnn/hiddenlayer_0_fraction_of_zero_values': 0., 'dnn/dnn/hiddenlayer_1_fraction_of_zero_values': 0.5, 'dnn/dnn/logits_fraction_of_zero_values': 0., metric_keys.MetricKeys.LOSS: expected_loss, }, summary) _assert_checkpoint( self, base_global_step + num_steps, input_units=input_dimension, hidden_units=hidden_units, output_units=label_dimension, model_dir=self._model_dir) class DNNClassifierTrainTest(test.TestCase): def setUp(self): self._model_dir = tempfile.mkdtemp() def tearDown(self): if self._model_dir: writer_cache.FileWriterCache.clear() shutil.rmtree(self._model_dir) def test_from_scratch_with_default_optimizer_binary(self): hidden_units = (2, 2) dnn_classifier = dnn.DNNClassifier( hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), model_dir=self._model_dir) # Train for a few steps, then validate final checkpoint. num_steps = 5 dnn_classifier.train( input_fn=lambda: ({'age': [[10.]]}, [[1]]), steps=num_steps) _assert_checkpoint( self, num_steps, input_units=1, hidden_units=hidden_units, output_units=1, model_dir=self._model_dir) def test_from_scratch_with_default_optimizer_multi_class(self): hidden_units = (2, 2) n_classes = 3 dnn_classifier = dnn.DNNClassifier( hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), n_classes=n_classes, model_dir=self._model_dir) # Train for a few steps, then validate final checkpoint. num_steps = 5 dnn_classifier.train( input_fn=lambda: ({'age': [[10.]]}, [[2]]), steps=num_steps) _assert_checkpoint( self, num_steps, input_units=1, hidden_units=hidden_units, output_units=n_classes, model_dir=self._model_dir) def test_from_scratch_validate_summary(self): hidden_units = (2, 2) mock_optimizer = dnn_testing_utils.mock_optimizer( self, hidden_units=hidden_units) dnn_classifier = dnn.DNNClassifier( hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), optimizer=mock_optimizer, model_dir=self._model_dir) self.assertEqual(0, mock_optimizer.minimize.call_count) # Train for a few steps, then validate optimizer, summaries, and # checkpoint. num_steps = 5 summary_hook = _SummaryHook() dnn_classifier.train( input_fn=lambda: ({'age': [[10.]]}, [[1]]), steps=num_steps, hooks=(summary_hook,)) self.assertEqual(1, mock_optimizer.minimize.call_count) _assert_checkpoint( self, num_steps, input_units=1, hidden_units=hidden_units, output_units=1, model_dir=self._model_dir) summaries = summary_hook.summaries() self.assertEqual(num_steps, len(summaries)) for summary in summaries: summary_keys = [v.tag for v in summary.value] self.assertIn(metric_keys.MetricKeys.LOSS, summary_keys) self.assertIn(metric_keys.MetricKeys.LOSS_MEAN, summary_keys) def test_binary_classification(self): base_global_step = 100 hidden_units = (2, 2) dnn_testing_utils.create_checkpoint( (([[.6, .5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1.], [1.]], [.3]),), base_global_step, self._model_dir) # Uses identical numbers as DNNModelFnTest.test_one_dim_logits. # See that test for calculation of logits. # logits = [-2.08] => probabilities = [0.889, 0.111] # loss = -1. * log(0.111) = 2.19772100 expected_loss = 2.19772100 mock_optimizer = dnn_testing_utils.mock_optimizer( self, hidden_units=hidden_units, expected_loss=expected_loss) dnn_classifier = dnn.DNNClassifier( hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), optimizer=mock_optimizer, model_dir=self._model_dir) self.assertEqual(0, mock_optimizer.minimize.call_count) # Train for a few steps, then validate optimizer, summaries, and # checkpoint. num_steps = 5 summary_hook = _SummaryHook() dnn_classifier.train( input_fn=lambda: ({'age': [[10.]]}, [[1]]), steps=num_steps, hooks=(summary_hook,)) self.assertEqual(1, mock_optimizer.minimize.call_count) summaries = summary_hook.summaries() self.assertEqual(num_steps, len(summaries)) for summary in summaries: _assert_simple_summary( self, { metric_keys.MetricKeys.LOSS_MEAN: expected_loss, 'dnn/dnn/hiddenlayer_0_fraction_of_zero_values': 0., 'dnn/dnn/hiddenlayer_1_fraction_of_zero_values': .5, 'dnn/dnn/logits_fraction_of_zero_values': 0., metric_keys.MetricKeys.LOSS: expected_loss, }, summary) _assert_checkpoint( self, base_global_step + num_steps, input_units=1, hidden_units=hidden_units, output_units=1, model_dir=self._model_dir) def test_multi_class(self): n_classes = 3 base_global_step = 100 hidden_units = (2, 2) dnn_testing_utils.create_checkpoint( (([[.6, .5]], [.1, -.1]), ([[1., .8], [-.8, -1.]], [.2, -.2]), ([[-1., 1., .5], [-1., 1., .5]], [.3, -.3, .0]),), base_global_step, self._model_dir) # Uses identical numbers as DNNModelFnTest.test_multi_dim_logits. # See that test for calculation of logits. # logits = [-2.08, 2.08, 1.19] => probabilities = [0.0109, 0.7011, 0.2879] # loss = -1. * log(0.7011) = 0.35505795 expected_loss = 0.35505795 mock_optimizer = dnn_testing_utils.mock_optimizer( self, hidden_units=hidden_units, expected_loss=expected_loss) dnn_classifier = dnn.DNNClassifier( n_classes=n_classes, hidden_units=hidden_units, feature_columns=(feature_column.numeric_column('age'),), optimizer=mock_optimizer, model_dir=self._model_dir) self.assertEqual(0, mock_optimizer.minimize.call_count) # Train for a few steps, then validate optimizer, summaries, and # checkpoint. num_steps = 5 summary_hook = _SummaryHook() dnn_classifier.train( input_fn=lambda: ({'age': [[10.]]}, [[1]]), steps=num_steps, hooks=(summary_hook,)) self.assertEqual(1, mock_optimizer.minimize.call_count) summaries = summary_hook.summaries() self.assertEqual(num_steps, len(summaries)) for summary in summaries: _assert_simple_summary( self, { metric_keys.MetricKeys.LOSS_MEAN: expected_loss, 'dnn/dnn/hiddenlayer_0_fraction_of_zero_values': 0., 'dnn/dnn/hiddenlayer_1_fraction_of_zero_values': .5, 'dnn/dnn/logits_fraction_of_zero_values': 0., metric_keys.MetricKeys.LOSS: expected_loss, }, summary) _assert_checkpoint( self, base_global_step + num_steps, input_units=1, hidden_units=hidden_units, output_units=n_classes, model_dir=self._model_dir) if __name__ == '__main__': test.main()

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a3837b5bd4df657d3cb2230b2065a12bbc416e35

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py

Python

mct_rand_sync/src/mct_rand_sync/__init__.py

iorodeo/mct

fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11

[ "Apache-2.0" ]

null

mct_rand_sync/src/mct_rand_sync/__init__.py

iorodeo/mct

fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11

[ "Apache-2.0" ]

null

mct_rand_sync/src/mct_rand_sync/__init__.py

iorodeo/mct

fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11

[ "Apache-2.0" ]

null

from rand_sync import * from rand_sync_dev import RandSyncDev

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19,811

py

Python

mcycle/library/materials.py

ChenlingJ/MCycle

1fb72be3f889bd5f30c5dbd927f31b3bca2f1c38

[ "Apache-2.0" ]

7

2018-05-08T08:42:07.000Z

2022-01-27T14:40:45.000Z

mcycle/library/materials.py

ChenlingJ/MCycle

1fb72be3f889bd5f30c5dbd927f31b3bca2f1c38

[ "Apache-2.0" ]

6

2018-05-20T05:52:48.000Z

2019-09-05T19:56:29.000Z

mcycle/library/materials.py

ChenlingJ/MCycle

1fb72be3f889bd5f30c5dbd927f31b3bca2f1c38

[ "Apache-2.0" ]

4

2018-05-06T20:57:34.000Z

2021-07-03T04:32:15.000Z

"""A brief library of common component materials.""" from ..bases.solidmaterial import SolidMaterial #: Alumel (Ni, 2%-Al, 2%-Mn, 1%-Si), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def alumel(T=293.15): return SolidMaterial( rho=8600., data={'T': [373.15, 473.15, 573.15, 673.15], 'k': [30, 32, 35, 38]}, deg=-1, T=T, name="alumel", notes= "alumel (Ni, 2%-Al, 2%-Mn, 1%-Si), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Aluminium (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def aluminium(T=293.15): return SolidMaterial( rho=2707., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15 ], 'k': [302, 242, 236, 237, 240, 238, 234, 228, 215] }, deg=-1, T=T, name="aluminium", notes= "aluminium (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Aluminium alloy 6061-T6, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def aluminium_6061_T6(T=293.15): return SolidMaterial( rho=2700., data={ 'T': [273.15, 293.15, 373.15, 473.15, 573.15], 'k': [166, 167, 172, 177, 180] }, deg=-1, T=T, name="aluminium_6061_T6", notes= "aluminium alloy 6061-T6, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Aluminium alloy 7075-T6, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def aluminium_7075_T6(T=293.15): return SolidMaterial( rho=2800., data={ 'T': [103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15], 'k': [76, 100, 121, 130, 137, 172, 177] }, deg=-1, T=T, name="aluminium_7075_T6", notes= "aluminium alloy 7075-T6, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Brass, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def brass(T=293.15): return SolidMaterial( rho=8522., data={ 'T': [103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15], 'k': [73, 89, 106, 109, 133, 143, 146, 147] }, deg=-1, T=T, name="brass", notes= "brass (Cu, 30%-Zn), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Chromel P (Ni, 10%-Cr), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def chromelP(T=293.15): return SolidMaterial( rho=8730., data={'T': [373.15, 473.15, 573.15, 673.15], 'k': [19, 21, 23, 25]}, deg=-1, T=T, name="chromel P", notes= "Chromel P (Ni, 10%-Cr), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Chromium, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def chromium(T=293.15): return SolidMaterial( rho=7190., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [158, 120, 95, 90, 88, 85, 82, 77, 69, 64, 62] }, deg=-1, T=T, name="chromium", notes= "chromium, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Constantan, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def constantan(T=293.15): return SolidMaterial( rho=8922., data={ 'T': [103.15, 173.15, 273.15, 293.15, 373.15, 473.15], 'k': [17, 19, 22, 22, 26, 35] }, deg=-1, T=T, name="constantan", notes= "constantan (Cu, 40%-Ni), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Copper (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def copper(T=293.15): return SolidMaterial( rho=8954., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [483, 420, 401, 398, 391, 389, 384, 378, 366, 352, 336] }, deg=-1, T=T, name="copper", notes= "copper (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Duralumin, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def duralumin(T=293.15): return SolidMaterial( rho=2787., data={ 'T': [173.15, 273.15, 293.15, 373.15, 473.15], 'k': [126, 164, 164, 182, 194] }, deg=-1, T=T, name="duralumin", notes= "duralumin (4%-Cu, 0.5%-Mg), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Gold (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def gold(T=293.15): return SolidMaterial( rho=19320., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [327, 324, 319, 318, 313, 306, 299, 293, 279, 264, 249] }, deg=-1, T=T, name="gold", notes= "gold (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Inconel X-750 (73%-Ni, 15%-Cr, 6.75%-Fe, 2.5%-Ti, 0.85%-Nb, 0.8%-Al, 0.7%-Mn, 0.3%-Si), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def inconelX750(T=293.15): return SolidMaterial( rho=8510., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [8.8, 10.6, 11.3, 11.6, 13.0, 14.7, 16.0, 18.3, 21.8, 25.3, 29] }, deg=-1, T=T, name="inconelX750", notes= "Inconel X-750 (73%-Ni, 15%-Cr, 6.75%-Fe, 2.5%-Ti, 0.85%-Nb, 0.8%-Al, 0.7%-Mn, 0.3%-Si), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Iron (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def iron(T=293.15): return SolidMaterial( rho=7987., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [132, 98, 84, 80, 72, 63, 56, 50, 39, 30, 29.5] }, deg=-1, T=T, name="iron", notes= "iron (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Lead (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def lead(T=293.15): return SolidMaterial( rho=11373., data={ 'T': [103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15], 'k': [40, 37, 36, 35, 34, 33, 32] }, deg=-1, T=T, name="lead", notes= "lead (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Magnesium (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def magnesium(T=293.15): return SolidMaterial( rho=1746., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15 ], 'k': [169, 160, 157, 156, 154, 152, 150, 148, 145] }, deg=-1, T=T, name="magnesium", notes= "magnesium (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Molybdenum (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def molybdenum(T=293.15): return SolidMaterial( rho=10220., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [175, 146, 139, 138, 135, 131, 127, 123, 116, 109, 103] }, deg=-1, T=T, name="molybdenum", notes= "molybdenum (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Nichrome (Ni, 23%-Fe, 16%-Cr), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def nichrome(T=293.15): return SolidMaterial( rho=8250., data={'T': [373.15, 473.15, 573.15, 673.15], 'k': [13, 15, 16, 18]}, deg=-1, T=T, name="nichrome", notes= "nichrome (Ni, 23%-Fe, 16%-Cr), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Nichrome V (Ni, 20%-Cr, 1.4%-Si), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def nichromeV(T=293.15): return SolidMaterial( rho=8410., data={ 'T': [293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15], 'k': [10, 11, 13, 15, 17, 20, 24] }, deg=-1, T=T, name="nichromeV", notes= "nichrome V (Ni, 20%-Cr, 1.4%-Si), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Nickel (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def nickel(T=293.15): return SolidMaterial( rho=8906., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [156, 114, 94, 91, 83, 74, 6, 64, 69, 73, 78] }, deg=-1, T=T, name="nickel", notes= "nickel (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Steel AISI 1010, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def steel_1010(T=293.15): return SolidMaterial( rho=7830., data={ 'T': [ 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15 ], 'k': [70, 65, 64, 61, 55, 50, 45, 36, 29] }, deg=-1, T=T, name="steel_1010", notes= "steel AISI 1010, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Steel 0.5%-carbon, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def steel_0o5C(T=293.15): return SolidMaterial( rho=7833., data={ 'T': [ 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [55, 52, 48, 45, 42, 35, 31, 29] }, deg=-1, T=T, name="steel_0o5C", notes= "steel 0.5%-carbon, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Steel 1.0%-carbon, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def steel_1o0C(T=293.15): return SolidMaterial( rho=7801., data={ 'T': [ 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [43, 43, 42, 40, 36, 33, 29, 28] }, deg=-1, T=T, name="steel_1o0C", notes= "steel 1.0%-carbon, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Steel 1.5%-carbon, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def steel_1o5C(T=293.15): return SolidMaterial( rho=7753., data={ 'T': [ 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [36, 36, 36, 35, 33, 31, 28, 28] }, deg=-1, T=T, name="steel_1o5C", notes= "steel 1.5%-carbon, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Stainless steel AISI 304, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def stainlessSteel_304(T=293.15): return SolidMaterial( rho=8000., data={ 'T': [293.15, 373.15, 473.15, 573.15, 673.15, 873.15], 'k': [13.8, 15, 17, 19, 21, 25] }, deg=-1, T=T, name="stainlessSteel_304", notes= "stainless steel AISI 304, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Stainless steel AISI 316, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def stainlessSteel_316(T=293.15): return SolidMaterial( rho=8000., data={ 'T': [ 173.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [12, 13.5, 15, 16, 17, 19, 21, 24, 26] }, deg=-1, T=T, name="stainlessSteel_316", notes= "stainless steel AISI 316, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Stainless steel AISI 347, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def stainlessSteel_347(T=293.15): return SolidMaterial( rho=8000., data={ 'T': [ 173.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [13, 15, 16, 18, 19, 20, 23, 26, 28] }, deg=-1, T=T, name="stainlessSteel_347", notes= "stainless steel AISI 347, from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Silicon (single crystal form), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def silicon(T=293.15): return SolidMaterial( rho=2330., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [856, 342, 168, 153, 112, 82, 66, 54, 38, 29, 25] }, deg=-1, T=T, name="silicon", notes= "silicon (single crystal form), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Silver (99.99% pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def silver(T=293.15): return SolidMaterial( rho=10524., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15 ], 'k': [449, 431, 428, 427, 422, 417, 409, 401, 386, 370] }, deg=-1, T=T, name="silver", notes= "silver (99.99% pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Titanium (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def titanium(T=293.15): return SolidMaterial( rho=4540., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [31, 26, 22, 22, 21, 20, 20, 19, 21, 21, 22] }, deg=-1, T=T, name="titanium", notes= "titanium (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Titanium (6%-Al, 4%-V), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def titanium_6Al4V(T=293.15): return SolidMaterial( rho=4430., data={ 'T': [293.15, 373.15, 473.15, 573.15, 673.15], 'k': [7.1, 7.8, 8.8, 10., 12.] }, deg=-1, T=T, name="titanium_6Al4V", notes= "titanium (6%-Al, 4%-V), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Tungsten (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def tungsten(T=293.15): return SolidMaterial( rho=19350., data={ 'T': [ 103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15, 873.15, 1073.15, 1273.15 ], 'k': [235, 223, 182, 178, 166, 153, 141, 134, 125, 122, 114] }, deg=-1, T=T, name="tungsten", notes= "tungsten (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" ) #: Zinc (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V., *A Heat Transfer Textbook*, Phlogiston Press, 2011. def zinc(T=293.15): return SolidMaterial( rho=7144., data={ 'T': [103.15, 173.15, 273.15, 293.15, 373.15, 473.15, 573.15, 673.15], 'k': [124, 122, 122, 121, 117, 110, 106, 100] }, deg=-1, T=T, name="zinc", notes= "zinc (pure), from Table A.1; Lienhard, J. H. I. & Lienhard, J. H. V. A Heat Transfer Textbook Phlogiston Press, 2011" )

34.75614

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569

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34.817223

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7

6eab3fd47b7c8d0f72622891973f910c0a183d1a

19,279

py

Python

ravens/models/resnet.py

YunchuZhang/Learning-to-use-different-tools-for-objects-rearrangement

3759664cd77b5810834937c478a9a44ad36ac90c

[ "Apache-2.0" ]

1

2022-03-20T19:03:02.000Z

ravens/models/resnet.py

YunchuZhang/Learning-to-use-different-tools-for-objects-rearrangement

3759664cd77b5810834937c478a9a44ad36ac90c

[ "Apache-2.0" ]

null

ravens/models/resnet.py

YunchuZhang/Learning-to-use-different-tools-for-objects-rearrangement

3759664cd77b5810834937c478a9a44ad36ac90c

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2021 The Ravens Authors. # # 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. """Resnet module.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import tensorflow as tf import tensorflow_addons as tfa import numpy as np def identity_block(input_tensor, kernel_size, filters, stage, block, activation=True, include_batchnorm=False): """The identity block is the block that has no conv layer at shortcut. Args: input_tensor: input tensor kernel_size: default 3, the kernel size of middle conv layer at main path filters: list of integers, the filters of 3 conv layer at main path stage: integer, current stage label, used for generating layer names block: 'a','b'..., current block label, used for generating layer names activation: If True, include ReLU activation on the output. include_batchnorm: If True, include intermediate batchnorm layers. Returns: Output tensor for the block. """ filters1, filters2, filters3 = filters batchnorm_axis = 3 conv_name_base = 'res' + str(stage) + block + '_branch' bn_name_base = 'bn' + str(stage) + block + '_branch' x = tf.keras.layers.Conv2D( filters1, (1, 1), dilation_rate=(1, 1), kernel_initializer='glorot_uniform', name=conv_name_base + '2a')( input_tensor) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=bn_name_base + '2a')( x) x = tf.keras.layers.ReLU()(x) x = tf.keras.layers.Conv2D( filters2, kernel_size, dilation_rate=(1, 1), padding='same', kernel_initializer='glorot_uniform', name=conv_name_base + '2b')( x) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=bn_name_base + '2b')( x) x = tf.keras.layers.ReLU()(x) x = tf.keras.layers.Conv2D( filters3, (1, 1), dilation_rate=(1, 1), kernel_initializer='glorot_uniform', name=conv_name_base + '2c')( x) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=bn_name_base + '2c')( x) x = tf.keras.layers.add([x, input_tensor]) if activation: x = tf.keras.layers.ReLU()(x) return x def conv_block(input_tensor, kernel_size, filters, stage, block, strides=(2, 2), activation=True, include_batchnorm=False): """A block that has a conv layer at shortcut. Note that from stage 3, the first conv layer at main path is with strides=(2, 2) And the shortcut should have strides=(2, 2) as well Args: input_tensor: input tensor kernel_size: default 3, the kernel size of middle conv layer at main path filters: list of integers, the filters of 3 conv layer at main path stage: integer, current stage label, used for generating layer names block: 'a','b'..., current block label, used for generating layer names strides: Strides for the first conv layer in the block. activation: If True, include ReLU activation on the output. include_batchnorm: If True, include intermediate batchnorm layers. Returns: Output tensor for the block. """ filters1, filters2, filters3 = filters batchnorm_axis = 3 conv_name_base = 'res' + str(stage) + block + '_branch' bn_name_base = 'bn' + str(stage) + block + '_branch' x = tf.keras.layers.Conv2D( filters1, (1, 1), strides=strides, dilation_rate=(1, 1), kernel_initializer='glorot_uniform', name=conv_name_base + '2a')( input_tensor) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=bn_name_base + '2a')( x) x = tf.keras.layers.ReLU()(x) x = tf.keras.layers.Conv2D( filters2, kernel_size, padding='same', dilation_rate=(1, 1), kernel_initializer='glorot_uniform', name=conv_name_base + '2b')( x) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=bn_name_base + '2b')( x) x = tf.keras.layers.ReLU()(x) x = tf.keras.layers.Conv2D( filters3, (1, 1), kernel_initializer='glorot_uniform', dilation_rate=(1, 1), name=conv_name_base + '2c')( x) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=bn_name_base + '2c')( x) shortcut = tf.keras.layers.Conv2D( filters3, (1, 1), strides=strides, dilation_rate=(1, 1), kernel_initializer='glorot_uniform', name=conv_name_base + '1')( input_tensor) if include_batchnorm: shortcut = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=bn_name_base + '1')( shortcut) x = tf.keras.layers.add([x, shortcut]) if activation: x = tf.keras.layers.ReLU()(x) return x def tool_head(input_tensor, feat_dim = 256): # input_tensor = tf.transpose(input_tensor,[0, 2, 3, 1]) input_shape = input_tensor.shape x = tf.keras.layers.Conv2D(feat_dim, input_shape = input_shape[2:], data_format='channels_first', kernel_size=3, padding='same',activation='gelu')(input_tensor) x = tfa.layers.GroupNormalization(groups=1, axis=2)(x) prefix = 'th_' x = tf.transpose(tf.reshape(x, [-1,256,90,90]),[0, 2, 3, 1]) x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_1')( x) x = conv_block( x, 3, [128, 128, 128], stage=1, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [128, 128, 128], stage=1, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_2')( x) x = conv_block( x, 3, [64, 64, 64], stage=2, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [64, 64, 64], stage=2, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_3')( x) # [None, 720, 720, 64] x = conv_block( x, 3, [16, 16, 1], stage=9, block=prefix + 'a', strides=(1, 1), activation=False) output = identity_block( x, 3, [16, 16, 1], stage=3, block=prefix + 'b', activation=False) return tf.transpose(tf.reshape(output, [-1,3,720,720,1]),[0, 1, 4, 2, 3]) ''' input_shape = x.shape x = tf.keras.layers.Conv2D(feat_dim, kernel_size=3, input_shape = input_shape[1:], data_format='channels_first', padding='same',activation='gelu')(x) x = tfa.layers.GroupNormalization(groups=1, axis=1)(x) x = tf.keras.layers.Conv2D(feat_dim, kernel_size=3, input_shape = input_shape[1:], data_format='channels_first', padding='same',activation='gelu')(x) x = tfa.layers.GroupNormalization(groups=1, axis=1)(x) output = tf.keras.layers.Conv2D(1, input_shape = input_shape[1:], data_format='channels_first', kernel_size=1, padding='same')(x) ''' def integrate(heatmap): ''' Input: heatmap: (B, 1, H, W) Output: grid_coord: (B, 2) ''' B, _, H, W = heatmap.shape h = tf.range(H) w = tf.range(W) grid_h, grid_w = tf.meshgrid(h,w) # h, w # d = tf.constant([B,1,1,1], tf.float32) grid_hw = tf.cast(tf.expand_dims(tf.stack([grid_h, grid_w], axis=0),axis=0),tf.float32) # B, 2, H, W # grid_hw = tf.tile(grid_hw, d) grid_coord = tf.math.reduce_sum(grid_hw * heatmap, axis=[2,3]) # B, 2 return grid_coord def ResNet_tool(input_shape, # pylint: disable=invalid-name output_dim, padding, tool_num = 3, feat_dim = 256, ): input_data = tf.keras.layers.Input(shape=input_shape) # Initialize fully convolutional Residual Network with 43 layers and # 8-stride (3 2x2 max pools and 3 2x bilinear upsampling) # pick network # d_in0, d_out0 = ResNet(input_data, output_dim, prefix='t0_') # heatmap = tf.cast(tf.transpose(d_out0, [0, 3, 1, 2]), tf.float64) # heatmap = tf.reshape(heatmap, [-1,64,90,90]) # if softmax: # output = tf.nn.softmax(output) # output = np.float32(output).reshape(logits.shape[1:]) # vis_feature net # [None, 720, 720, 64] # [None, 90, 90, 256] d_in1, d_out1, emb1 = ResNet(input_data, output_dim, prefix='t1_', return_emb=True) # import ipdb;ipdb.set_trace() tool_emb = tf.Variable(tf.experimental.numpy.random.randn(tool_num, feat_dim), trainable=True) tool_filter = tf.Variable(tf.experimental.numpy.random.randn(tool_num, feat_dim, feat_dim), trainable=True) # import ipdb;ipdb.set_trace() vis_feat = tf.cast(tf.transpose(emb1, [0, 3, 1, 2]),tf.float64) # None C, H, W 256 90 90 conv2d_layers = [] tool_feats = [] tool_coords = [] for tool_id in range(tool_num): # tool_feat = tf.identity(vis_feat) * tf.reshape(tool_emb[tool_id],[1,-1,1,1]) # tool_feat = tf.identity(vis_feat) + tf.reshape(tool_emb[tool_id],[1,-1,1,1]) tool_feat = tf.nn.conv2d(tf.identity(vis_feat),tf.reshape(tool_filter[tool_id],[1,1,feat_dim,feat_dim]),strides=1, padding="SAME", data_format='NCHW') tool_feats.append(tool_feat) tool_feats = tf.concat(tool_feats, axis=1) tool_feats = tf.reshape(tool_feats, [-1 ,3, 256, 90, 90]) tool_feats = tool_head(tool_feats, feat_dim) h_min, h_max = tf.reduce_min(tool_feats,axis=[2,3,4], keepdims = True), tf.reduce_max(tool_feats,axis=[2,3,4], keepdims = True) tool_heats = (tool_feats - h_min)/(h_max - h_min) # tool_coord = integrate(tool_heat) # tool_coords.append(tool_coord) #tool_heats = tf.concat(tool_heats, axis=1) #tool_coords = tf.stack(tool_coords, axis=1) return input_data, tf.squeeze(tool_feats,axis=2) def ResNet_bc(input_shape, # pylint: disable=invalid-name output_dim, padding, tool_num = 3, feat_dim = 256, ): input_data = tf.keras.layers.Input(shape=input_shape) # Initialize fully convolutional Residual Network with 43 layers and # 8-stride (3 2x2 max pools and 3 2x bilinear upsampling) # pick network # d_in0, d_out0 = ResNet(input_data, output_dim, prefix='t0_') # heatmap = tf.cast(tf.transpose(d_out0, [0, 3, 1, 2]), tf.float64) # heatmap = tf.reshape(heatmap, [-1,64,90,90]) # if softmax: # output = tf.nn.softmax(output) # output = np.float32(output).reshape(logits.shape[1:]) # vis_feature net # [None, 720, 720, 64] # [None, 90, 90, 256] d_in1, d_out1, emb1 = ResNet(input_data, output_dim, prefix='t1_', return_emb=True) d_in2, d_out2, emb2 = ResNet(input_data, output_dim, prefix='t2_', return_emb=True) x = tf.keras.layers.AveragePooling2D(pool_size=(256,256),strides=(1, 1), padding='valid')(d_out1) x = tf.keras.layers.AveragePooling2D(pool_size=(256,256),strides=(1, 1), padding='valid')(x) x = tf.keras.layers.AveragePooling2D(pool_size=(128,128),strides=(1, 1), padding='valid')(x) x = tf.reduce_mean(x,axis=1) x = tf.squeeze(x,axis=2) x = tf.keras.layers.Dense(128, activation='relu')(x) x = tf.keras.layers.Dense(64, activation='relu')(x) x = tf.keras.layers.Dense(6, activation='relu')(x) x2 = tf.reduce_mean(d_out2,axis=1) x2 = tf.squeeze(x2,axis=2) x2 = tf.keras.layers.Dense(128, activation='relu')(x) x2 = tf.keras.layers.Dense(64, activation='relu')(x) x2 = tf.keras.layers.Dense(3, activation='relu')(x) # tool_coord = integrate(tool_heat) # tool_coords.append(tool_coord) #tool_heats = tf.concat(tool_heats, axis=1) #tool_coords = tf.stack(tool_coords, axis=1) return input_data, tf.concat((x,x2),axis=1) def ResNet( input_data, output_dim, include_batchnorm=False, batchnorm_axis=3, prefix='', cutoff_early=False, return_emb = False ): """Build Resent 43 8s.""" x = tf.keras.layers.Conv2D( 64, (3, 3), strides=(1, 1), padding='same', kernel_initializer='glorot_uniform', name=prefix + 'conv1')( input_data) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=prefix + 'bn_conv1')( x) x = tf.keras.layers.ReLU()(x) if cutoff_early: x = conv_block( x, 5, [64, 64, output_dim], stage=2, block=prefix + 'a', strides=(1, 1), include_batchnorm=include_batchnorm) x = identity_block( x, 5, [64, 64, output_dim], stage=2, block=prefix + 'b', include_batchnorm=include_batchnorm) return input_data, x x = conv_block( x, 3, [64, 64, 64], stage=2, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [64, 64, 64], stage=2, block=prefix + 'b') x = conv_block( x, 3, [128, 128, 128], stage=3, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [128, 128, 128], stage=3, block=prefix + 'b') x = conv_block( x, 3, [256, 256, 256], stage=4, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [256, 256, 256], stage=4, block=prefix + 'b') x = conv_block( x, 3, [512, 512, 512], stage=5, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [512, 512, 512], stage=5, block=prefix + 'b') x = conv_block( x, 3, [256, 256, 256], stage=6, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [256, 256, 256], stage=6, block=prefix + 'b') # [None, 90, 90, 256] emb = x x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_1')( x) x = conv_block( x, 3, [128, 128, 128], stage=7, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [128, 128, 128], stage=7, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_2')( x) x = conv_block( x, 3, [64, 64, 64], stage=8, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [64, 64, 64], stage=8, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_3')( x) # [None, 720, 720, 64] x = conv_block( x, 3, [16, 16, output_dim], stage=9, block=prefix + 'a', strides=(1, 1), activation=False) output = identity_block( x, 3, [16, 16, output_dim], stage=9, block=prefix + 'b', activation=False) if return_emb: return input_data, output, emb return input_data, output def ResNet43_8s(input_shape, # pylint: disable=invalid-name output_dim, include_batchnorm=False, batchnorm_axis=3, prefix='', cutoff_early=False, return_emb = False ): """Build Resent 43 8s.""" # TODO(andyzeng): rename to ResNet36_4s input_data = tf.keras.layers.Input(shape=input_shape) x = tf.keras.layers.Conv2D( 64, (3, 3), strides=(1, 1), padding='same', kernel_initializer='glorot_uniform', name=prefix + 'conv1')( input_data) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=prefix + 'bn_conv1')( x) x = tf.keras.layers.ReLU()(x) if cutoff_early: x = conv_block( x, 5, [64, 64, output_dim], stage=2, block=prefix + 'a', strides=(1, 1), include_batchnorm=include_batchnorm) x = identity_block( x, 5, [64, 64, output_dim], stage=2, block=prefix + 'b', include_batchnorm=include_batchnorm) return input_data, x x = conv_block( x, 3, [64, 64, 64], stage=2, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [64, 64, 64], stage=2, block=prefix + 'b') x = conv_block( x, 3, [128, 128, 128], stage=3, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [128, 128, 128], stage=3, block=prefix + 'b') x = conv_block( x, 3, [256, 256, 256], stage=4, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [256, 256, 256], stage=4, block=prefix + 'b') x = conv_block( x, 3, [512, 512, 512], stage=5, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [512, 512, 512], stage=5, block=prefix + 'b') x = conv_block( x, 3, [256, 256, 256], stage=6, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [256, 256, 256], stage=6, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_1')( x) x = conv_block( x, 3, [128, 128, 128], stage=7, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [128, 128, 128], stage=7, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_2')( x) x = conv_block( x, 3, [64, 64, 64], stage=8, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [64, 64, 64], stage=8, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_3')( x) emb = x # [None, 720, 720, 64] x = conv_block( x, 3, [16, 16, output_dim], stage=9, block=prefix + 'a', strides=(1, 1), activation=False) output = identity_block( x, 3, [16, 16, output_dim], stage=9, block=prefix + 'b', activation=False) if return_emb: return input_data, output, emb return input_data, output def ResNet36_4s(input_shape, # pylint: disable=invalid-name output_dim, include_batchnorm=False, batchnorm_axis=3, prefix='', cutoff_early=False): """Build Resent 36 4s.""" # TODO(andyzeng): rename to ResNet36_4s input_data = tf.keras.layers.Input(shape=input_shape) x = tf.keras.layers.Conv2D( 64, (3, 3), strides=(1, 1), padding='same', kernel_initializer='glorot_uniform', name=prefix + 'conv1')( input_data) if include_batchnorm: x = tf.keras.layers.BatchNormalization( axis=batchnorm_axis, name=prefix + 'bn_conv1')( x) x = tf.keras.layers.ReLU()(x) if cutoff_early: x = conv_block( x, 5, [64, 64, output_dim], stage=2, block=prefix + 'a', strides=(1, 1), include_batchnorm=include_batchnorm) x = identity_block( x, 5, [64, 64, output_dim], stage=2, block=prefix + 'b', include_batchnorm=include_batchnorm) return input_data, x x = conv_block( x, 3, [64, 64, 64], stage=2, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [64, 64, 64], stage=2, block=prefix + 'b') x = conv_block( x, 3, [64, 64, 64], stage=3, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [64, 64, 64], stage=3, block=prefix + 'b') x = conv_block( x, 3, [64, 64, 64], stage=4, block=prefix + 'a', strides=(2, 2)) x = identity_block(x, 3, [64, 64, 64], stage=4, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_2')( x) x = conv_block( x, 3, [64, 64, 64], stage=8, block=prefix + 'a', strides=(1, 1)) x = identity_block(x, 3, [64, 64, 64], stage=8, block=prefix + 'b') x = tf.keras.layers.UpSampling2D( size=(2, 2), interpolation='bilinear', name=prefix + 'upsample_3')( x) x = conv_block( x, 3, [16, 16, output_dim], stage=9, block=prefix + 'a', strides=(1, 1), activation=False) output = identity_block( x, 3, [16, 16, output_dim], stage=9, block=prefix + 'b', activation=False) return input_data, output

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Python

quay/api/organization_api.py

angeiv/python-quay

16072f87956d8f581ac9ebccc67f6563e977cf52

[ "MIT" ]

null

quay/api/organization_api.py

angeiv/python-quay

16072f87956d8f581ac9ebccc67f6563e977cf52

[ "MIT" ]

null

quay/api/organization_api.py

angeiv/python-quay

16072f87956d8f581ac9ebccc67f6563e977cf52

[ "MIT" ]

null

# coding: utf-8 """ Quay Frontend This API allows you to perform many of the operations required to work with Quay repositories, users, and organizations. You can find out more at <a href=\"https://quay.io\">Quay</a>. # noqa: E501 OpenAPI spec version: v1 Contact: support@quay.io Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from quay.api_client import ApiClient class OrganizationApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def change_organization_details(self, body, orgname, **kwargs): # noqa: E501 """change_organization_details # noqa: E501 Change the details for the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.change_organization_details(body, orgname, async_req=True) >>> result = thread.get() :param async_req bool :param UpdateOrg body: Request body contents. (required) :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.change_organization_details_with_http_info(body, orgname, **kwargs) # noqa: E501 else: (data) = self.change_organization_details_with_http_info(body, orgname, **kwargs) # noqa: E501 return data def change_organization_details_with_http_info(self, body, orgname, **kwargs): # noqa: E501 """change_organization_details # noqa: E501 Change the details for the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.change_organization_details_with_http_info(body, orgname, async_req=True) >>> result = thread.get() :param async_req bool :param UpdateOrg body: Request body contents. (required) :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'orgname'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method change_organization_details" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `change_organization_details`") # noqa: E501 # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `change_organization_details`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_organization(self, body, **kwargs): # noqa: E501 """create_organization # noqa: E501 Create a new organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_organization(body, async_req=True) >>> result = thread.get() :param async_req bool :param NewOrg body: Request body contents. (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_organization_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.create_organization_with_http_info(body, **kwargs) # noqa: E501 return data def create_organization_with_http_info(self, body, **kwargs): # noqa: E501 """create_organization # noqa: E501 Create a new organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_organization_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param NewOrg body: Request body contents. (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_organization" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_organization`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_organization_application(self, body, orgname, **kwargs): # noqa: E501 """create_organization_application # noqa: E501 Creates a new application under this organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_organization_application(body, orgname, async_req=True) >>> result = thread.get() :param async_req bool :param NewApp body: Request body contents. (required) :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_organization_application_with_http_info(body, orgname, **kwargs) # noqa: E501 else: (data) = self.create_organization_application_with_http_info(body, orgname, **kwargs) # noqa: E501 return data def create_organization_application_with_http_info(self, body, orgname, **kwargs): # noqa: E501 """create_organization_application # noqa: E501 Creates a new application under this organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_organization_application_with_http_info(body, orgname, async_req=True) >>> result = thread.get() :param async_req bool :param NewApp body: Request body contents. (required) :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'orgname'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_organization_application" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_organization_application`") # noqa: E501 # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `create_organization_application`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/applications', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_admined_organization(self, orgname, **kwargs): # noqa: E501 """delete_admined_organization # noqa: E501 Deletes the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_admined_organization(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_admined_organization_with_http_info(orgname, **kwargs) # noqa: E501 else: (data) = self.delete_admined_organization_with_http_info(orgname, **kwargs) # noqa: E501 return data def delete_admined_organization_with_http_info(self, orgname, **kwargs): # noqa: E501 """delete_admined_organization # noqa: E501 Deletes the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_admined_organization_with_http_info(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_admined_organization" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `delete_admined_organization`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_organization_application(self, orgname, client_id, **kwargs): # noqa: E501 """delete_organization_application # noqa: E501 Deletes the application under this organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_organization_application(orgname, client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_organization_application_with_http_info(orgname, client_id, **kwargs) # noqa: E501 else: (data) = self.delete_organization_application_with_http_info(orgname, client_id, **kwargs) # noqa: E501 return data def delete_organization_application_with_http_info(self, orgname, client_id, **kwargs): # noqa: E501 """delete_organization_application # noqa: E501 Deletes the application under this organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_organization_application_with_http_info(orgname, client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname', 'client_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_organization_application" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `delete_organization_application`") # noqa: E501 # verify the required parameter 'client_id' is set if ('client_id' not in params or params['client_id'] is None): raise ValueError("Missing the required parameter `client_id` when calling `delete_organization_application`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 if 'client_id' in params: path_params['client_id'] = params['client_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/applications/{client_id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_application_information(self, client_id, **kwargs): # noqa: E501 """get_application_information # noqa: E501 Get information on the specified application. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_application_information(client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_application_information_with_http_info(client_id, **kwargs) # noqa: E501 else: (data) = self.get_application_information_with_http_info(client_id, **kwargs) # noqa: E501 return data def get_application_information_with_http_info(self, client_id, **kwargs): # noqa: E501 """get_application_information # noqa: E501 Get information on the specified application. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_application_information_with_http_info(client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['client_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_application_information" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'client_id' is set if ('client_id' not in params or params['client_id'] is None): raise ValueError("Missing the required parameter `client_id` when calling `get_application_information`") # noqa: E501 collection_formats = {} path_params = {} if 'client_id' in params: path_params['client_id'] = params['client_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/v1/app/{client_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_organization(self, orgname, **kwargs): # noqa: E501 """get_organization # noqa: E501 Get the details for the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_organization_with_http_info(orgname, **kwargs) # noqa: E501 else: (data) = self.get_organization_with_http_info(orgname, **kwargs) # noqa: E501 return data def get_organization_with_http_info(self, orgname, **kwargs): # noqa: E501 """get_organization # noqa: E501 Get the details for the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_with_http_info(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_organization" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `get_organization`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_organization_application(self, orgname, client_id, **kwargs): # noqa: E501 """get_organization_application # noqa: E501 Retrieves the application with the specified client_id under the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_application(orgname, client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_organization_application_with_http_info(orgname, client_id, **kwargs) # noqa: E501 else: (data) = self.get_organization_application_with_http_info(orgname, client_id, **kwargs) # noqa: E501 return data def get_organization_application_with_http_info(self, orgname, client_id, **kwargs): # noqa: E501 """get_organization_application # noqa: E501 Retrieves the application with the specified client_id under the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_application_with_http_info(orgname, client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname', 'client_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_organization_application" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `get_organization_application`") # noqa: E501 # verify the required parameter 'client_id' is set if ('client_id' not in params or params['client_id'] is None): raise ValueError("Missing the required parameter `client_id` when calling `get_organization_application`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 if 'client_id' in params: path_params['client_id'] = params['client_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/applications/{client_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_organization_applications(self, orgname, **kwargs): # noqa: E501 """get_organization_applications # noqa: E501 List the applications for the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_applications(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_organization_applications_with_http_info(orgname, **kwargs) # noqa: E501 else: (data) = self.get_organization_applications_with_http_info(orgname, **kwargs) # noqa: E501 return data def get_organization_applications_with_http_info(self, orgname, **kwargs): # noqa: E501 """get_organization_applications # noqa: E501 List the applications for the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_applications_with_http_info(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_organization_applications" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `get_organization_applications`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/applications', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_organization_collaborators(self, orgname, **kwargs): # noqa: E501 """get_organization_collaborators # noqa: E501 List outside collaborators of the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_collaborators(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_organization_collaborators_with_http_info(orgname, **kwargs) # noqa: E501 else: (data) = self.get_organization_collaborators_with_http_info(orgname, **kwargs) # noqa: E501 return data def get_organization_collaborators_with_http_info(self, orgname, **kwargs): # noqa: E501 """get_organization_collaborators # noqa: E501 List outside collaborators of the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_collaborators_with_http_info(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_organization_collaborators" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `get_organization_collaborators`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/collaborators', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_organization_member(self, orgname, membername, **kwargs): # noqa: E501 """get_organization_member # noqa: E501 Retrieves the details of a member of the organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_member(orgname, membername, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str membername: The username of the organization member (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_organization_member_with_http_info(orgname, membername, **kwargs) # noqa: E501 else: (data) = self.get_organization_member_with_http_info(orgname, membername, **kwargs) # noqa: E501 return data def get_organization_member_with_http_info(self, orgname, membername, **kwargs): # noqa: E501 """get_organization_member # noqa: E501 Retrieves the details of a member of the organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_member_with_http_info(orgname, membername, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str membername: The username of the organization member (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname', 'membername'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_organization_member" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `get_organization_member`") # noqa: E501 # verify the required parameter 'membername' is set if ('membername' not in params or params['membername'] is None): raise ValueError("Missing the required parameter `membername` when calling `get_organization_member`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 if 'membername' in params: path_params['membername'] = params['membername'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/members/{membername}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_organization_members(self, orgname, **kwargs): # noqa: E501 """get_organization_members # noqa: E501 List the human members of the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_members(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_organization_members_with_http_info(orgname, **kwargs) # noqa: E501 else: (data) = self.get_organization_members_with_http_info(orgname, **kwargs) # noqa: E501 return data def get_organization_members_with_http_info(self, orgname, **kwargs): # noqa: E501 """get_organization_members # noqa: E501 List the human members of the specified organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_organization_members_with_http_info(orgname, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_organization_members" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `get_organization_members`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/members', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def remove_organization_member(self, orgname, membername, **kwargs): # noqa: E501 """remove_organization_member # noqa: E501 Removes a member from an organization, revoking all its repository priviledges and removing it from all teams in the organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.remove_organization_member(orgname, membername, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str membername: The username of the organization member (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.remove_organization_member_with_http_info(orgname, membername, **kwargs) # noqa: E501 else: (data) = self.remove_organization_member_with_http_info(orgname, membername, **kwargs) # noqa: E501 return data def remove_organization_member_with_http_info(self, orgname, membername, **kwargs): # noqa: E501 """remove_organization_member # noqa: E501 Removes a member from an organization, revoking all its repository priviledges and removing it from all teams in the organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.remove_organization_member_with_http_info(orgname, membername, async_req=True) >>> result = thread.get() :param async_req bool :param str orgname: The name of the organization (required) :param str membername: The username of the organization member (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['orgname', 'membername'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method remove_organization_member" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `remove_organization_member`") # noqa: E501 # verify the required parameter 'membername' is set if ('membername' not in params or params['membername'] is None): raise ValueError("Missing the required parameter `membername` when calling `remove_organization_member`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 if 'membername' in params: path_params['membername'] = params['membername'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/members/{membername}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_organization_application(self, body, orgname, client_id, **kwargs): # noqa: E501 """update_organization_application # noqa: E501 Updates an application under this organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_organization_application(body, orgname, client_id, async_req=True) >>> result = thread.get() :param async_req bool :param UpdateApp body: Request body contents. (required) :param str orgname: The name of the organization (required) :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_organization_application_with_http_info(body, orgname, client_id, **kwargs) # noqa: E501 else: (data) = self.update_organization_application_with_http_info(body, orgname, client_id, **kwargs) # noqa: E501 return data def update_organization_application_with_http_info(self, body, orgname, client_id, **kwargs): # noqa: E501 """update_organization_application # noqa: E501 Updates an application under this organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_organization_application_with_http_info(body, orgname, client_id, async_req=True) >>> result = thread.get() :param async_req bool :param UpdateApp body: Request body contents. (required) :param str orgname: The name of the organization (required) :param str client_id: The OAuth client ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'orgname', 'client_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_organization_application" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_organization_application`") # noqa: E501 # verify the required parameter 'orgname' is set if ('orgname' not in params or params['orgname'] is None): raise ValueError("Missing the required parameter `orgname` when calling `update_organization_application`") # noqa: E501 # verify the required parameter 'client_id' is set if ('client_id' not in params or params['client_id'] is None): raise ValueError("Missing the required parameter `client_id` when calling `update_organization_application`") # noqa: E501 collection_formats = {} path_params = {} if 'orgname' in params: path_params['orgname'] = params['orgname'] # noqa: E501 if 'client_id' in params: path_params['client_id'] = params['client_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_implicit'] # noqa: E501 return self.api_client.call_api( '/api/v1/organization/{orgname}/applications/{client_id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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py

Python

tests/test_sendoff.py

pechersky/sendoff

b83ac028adc9e254cd0e275f60d29ce1c5ea1f2e

[ "MIT" ]

2

2021-09-28T09:53:53.000Z

2021-10-01T17:45:29.000Z

tests/test_sendoff.py

pechersky/sendoff

b83ac028adc9e254cd0e275f60d29ce1c5ea1f2e

[ "MIT" ]

10

2021-09-17T22:14:37.000Z

2022-03-21T16:25:39.000Z

tests/test_sendoff.py

pechersky/sendoff

b83ac028adc9e254cd0e275f60d29ce1c5ea1f2e

[ "MIT" ]

1

2021-09-27T15:55:40.000Z

# mypy: allow-untyped-decorators """Test sendoff parsing of metadata on generated SDFs.""" import io from itertools import chain import pytest from sendoff.ctable import ( IndicesDuplicateError, IndicesMismatchError, IndicesOutOfOrderError, ) from sendoff.sdblock import Pathy, SDBlock, parse_sdf def test_single_mol_read(single_mol_sdf: Pathy) -> None: """An sdf of a single molecule contains one molecule. Args: single_mol_sdf: pytest fixture of a Path to the sdf """ mols = list(parse_sdf(single_mol_sdf)) assert len(mols) == 1 def test_double_mol_read(double_mol_sdf: Pathy) -> None: """An sdf of two molecule contains two molecules. Args: double_mol_sdf: pytest fixture of a Path to the sdf """ mols = list(parse_sdf(double_mol_sdf)) assert len(mols) == 2 def test_titled_mol_read(single_titled_mol_sdf: Pathy) -> None: """An sdf of a single titled molecule contains it with the expected title. Args: single_titled_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_titled_mol_sdf)) assert mol.title == "Title" @pytest.mark.xfail # sendoff does not support SDF titles that start with $$$$ def test_first_delimiter_titled_mol_read( double_first_delimiter_titled_mol_sdf: Pathy, ) -> None: """SDF with 1st molecule delimiter titled, containing with expected titles. Args: double_first_delimiter_titled_mol_sdf: pytest fixture of a Path to sdf """ supp = parse_sdf(double_first_delimiter_titled_mol_sdf) mol: SDBlock = next(supp) other_mol: SDBlock = next(supp) assert mol.title == "$$$$" assert other_mol.title == "Title" def test_second_delimiter_titled_mol_read( double_second_delimiter_titled_mol_sdf: Pathy, ) -> None: """SDF with 2nd molecule delimiter titled, containing with expected titles. Args: double_second_delimiter_titled_mol_sdf: pytest fixture of a Path to sdf """ supp = parse_sdf(double_second_delimiter_titled_mol_sdf) other_mol: SDBlock = next(supp) mol: SDBlock = next(supp) assert other_mol.title == "Title" assert mol.title == "$$$$" def test_single_record_mol_read(single_record_mol_sdf: Pathy) -> None: """An sdf of a delimiter record valued molecule contains the expected data. Args: single_record_mol_sdf: pytest fixture of a Path to the sdf """ mol = next(parse_sdf(single_record_mol_sdf)) records = list(mol.records()) assert ("Record", "Value") in records @pytest.mark.xfail # sendoff does not support metadata vals starting with $$$$ def test_delimiter_record_mol_read( single_delimiter_record_mol_sdf: Pathy, ) -> None: """An sdf of a delimiter record valued molecule contains the expected data. Args: single_delimiter_record_mol_sdf: pytest fixture of a Path to the sdf """ mol = next(parse_sdf(single_delimiter_record_mol_sdf)) records = list(mol.records()) assert ("Record", "$$$$") in records def test_multiline_record_mol_read( single_multiline_record_mol_sdf: Pathy, ) -> None: """An sdf of a multiline record valued molecule contains the expected data. Args: single_multiline_record_mol_sdf: pytest fixture of a Path to the sdf """ mol = next(parse_sdf(single_multiline_record_mol_sdf)) records = list(mol.records()) assert ("Record", "0\n1\n2\n3") in records def test_empty_string_record_mol_read( single_empty_string_record_mol_sdf: Pathy, ) -> None: """An sdf of an empty string record valued molecule contains the expected data. Args: single_empty_string_record_mol_sdf: pytest fixture of a Path to the sdf """ mol = next(parse_sdf(single_empty_string_record_mol_sdf)) records = list(mol.records()) assert ("Record", "") in records def test_multiline_record_name_mol_read( single_multiline_record_name_mol_sdf: Pathy, ) -> None: """An sdf of a multiline record name molecule cannot contain the expected data. Args: single_multiline_record_name_mol_sdf: fixture of a Path to the sdf """ mol = next(parse_sdf(single_multiline_record_name_mol_sdf)) records = list(mol.records()) assert "Rec\nord" not in map(str, chain(zip(*records))) def test_single_mol_newline_write(single_mol_sdf: Pathy) -> None: """An sdf block gets written with as many lines as the input. Args: single_mol_sdf: pytest fixture of a Path to the sdf """ mols = list(parse_sdf(single_mol_sdf)) buffer = io.StringIO() for mol in mols: mol.write(buffer) assert len(buffer.getvalue().splitlines()) == len( open(single_mol_sdf).read().splitlines() ) def test_single_mol_newline_write_splitlines(single_mol_sdf: Pathy) -> None: """An sdf block gets written with as many lines as a splitlines input. Args: single_mol_sdf: pytest fixture of a Path to the sdf """ mols = list(SDBlock.from_lines(open(single_mol_sdf).read().splitlines())) buffer = io.StringIO() for mol in mols: mol.write(buffer) assert len(buffer.getvalue().splitlines()) == len( open(single_mol_sdf).read().splitlines() ) def test_single_mol_newline_write_splitlines_no_trailing(single_mol_sdf: Pathy) -> None: """An sdf block written with no trailing newlines has fewer lines than splitlines input. Args: single_mol_sdf: pytest fixture of a Path to the sdf """ mols = list(SDBlock.from_lines(open(single_mol_sdf).read().splitlines())) buffer = io.StringIO() for mol in mols: mol.write(buffer, with_newlines=False) assert len(buffer.getvalue().splitlines()) < len( open(single_mol_sdf).read().splitlines() ) def test_right_angle_bracket_record_name_mol_read( single_right_angle_bracket_record_name_mol_sdf: Pathy, ) -> None: """An sdf with a record name with a ">" is present in the read data as expected. Args: single_right_angle_bracket_record_name_mol_sdf: fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_right_angle_bracket_record_name_mol_sdf)) records = list(mol.records()) assert records == [("Rec>ord", "Value")] def test_0_atoms_mol_num_atoms(single_0_atoms_mol_sdf: Pathy) -> None: """An sdf block with 0 atoms written parses as 0 atoms. Args: single_0_atoms_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_0_atoms_mol_sdf)) assert mol.num_atoms() == 0 def test_star_atom_mol_num_atoms(single_star_atom_mol_sdf: Pathy) -> None: """An sdf block with a single star atom written parses as 1 atom. Args: single_star_atom_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_star_atom_mol_sdf)) assert mol.num_atoms() == 1 def test_999_atoms_mol_num_atoms(single_999_atoms_mol_sdf: Pathy) -> None: """An sdf block with 999 atoms written parses as 999 atoms. Args: single_999_atoms_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_999_atoms_mol_sdf)) assert mol.num_atoms() == 999 def test_1001_atoms_mol_num_atoms(single_1001_atoms_mol_sdf: Pathy) -> None: """An sdf block with 1001 atoms written parses as 1001 atoms. Args: single_1001_atoms_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_1001_atoms_mol_sdf)) assert mol.num_atoms() == 1001 def test_0_atoms_mol_num_bonds(single_0_atoms_mol_sdf: Pathy) -> None: """An sdf block with 0 atoms written parses as 0 bonds. Args: single_0_atoms_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_0_atoms_mol_sdf)) assert mol.num_bonds() == 0 def test_star_atom_mol_num_bonds(single_star_atom_mol_sdf: Pathy) -> None: """An sdf block with a single star atom written parses as 0 bonds. Args: single_star_atom_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_star_atom_mol_sdf)) assert mol.num_bonds() == 0 def test_999_atoms_mol_num_bonds(single_999_atoms_mol_sdf: Pathy) -> None: """An sdf block with 999 atoms written parses as 998 bonds. Args: single_999_atoms_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_999_atoms_mol_sdf)) assert mol.num_bonds() == 998 def test_1001_atoms_mol_num_bonds(single_1001_atoms_mol_sdf: Pathy) -> None: """An sdf block with 1001 atoms written parses as 1000 bonds. Args: single_1001_atoms_mol_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_1001_atoms_mol_sdf)) assert mol.num_bonds() == 1000 def test_single_mol_v2000_sdf_valid_atom_indices_not_implemented( single_mol_v2000_sdf: Pathy, ) -> None: """A v2000 sdf block cannot yet be validated for atom indices. Args: single_mol_v2000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_mol_v2000_sdf)) ctable = mol.ctable() with pytest.raises(NotImplementedError): assert ctable.valid_atom_indices() def test_single_mol_v2000_sdf_valid_bond_indices_not_implemented( single_mol_v2000_sdf: Pathy, ) -> None: """A v2000 sdf block cannot yet be validated for bond indices. Args: single_mol_v2000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_mol_v2000_sdf)) ctable = mol.ctable() with pytest.raises(NotImplementedError): assert ctable.valid_bond_indices() def test_single_large_atom_index_valid_atom_indices( single_large_atom_index_v3000_sdf: Pathy, ) -> None: """An sdf block with large atom indices has valid indices. That means that the number of atoms matches the counts line, and each index is unique and integer. Does not check that the indices are 1-indexed and in order. Args: single_large_atom_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_large_atom_index_v3000_sdf)) ctable = mol.ctable() assert ctable.valid_atom_indices() def test_single_large_atom_index_strict_invalid_atom_indices( single_large_atom_index_v3000_sdf: Pathy, ) -> None: """An sdf block with large atom indices has invalid indices, when strict. That means that the number of atoms matches the counts line, and each index is unique and integer. However, the indices are not 1-indexed and in order. Args: single_large_atom_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_large_atom_index_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesOutOfOrderError, match="atoms"): ctable.valid_atom_indices(strict=True) def test_single_large_bond_index_valid_bond_indices( single_large_bond_index_v3000_sdf: Pathy, ) -> None: """An sdf block with large bond indices has valid indices. That means that the number of bonds matches the counts line, and each index is unique and integer. Does not check that the indices are 1-indexed and in order. Args: single_large_bond_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_large_bond_index_v3000_sdf)) ctable = mol.ctable() assert ctable.valid_bond_indices() def test_single_large_bond_index_strict_invalid_bond_indices( single_large_bond_index_v3000_sdf: Pathy, ) -> None: """An sdf block with large bond indices has invalid indices, when strict. That means that the number of bonds matches the counts line, and each index is unique and integer. However, the indices are not 1-indexed and in order. Args: single_large_bond_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_large_bond_index_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesOutOfOrderError, match="bonds"): ctable.valid_bond_indices(strict=True) def test_single_missing_atom_line_invalid_atom_indices( single_missing_atom_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a missing atom line has invalid indices. That means that the number of atoms is fewer than the counts line. Args: single_missing_atom_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_missing_atom_line_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesMismatchError, match="fewer atom lines than count line"): ctable.valid_atom_indices() def test_single_extra_atom_line_invalid_atom_indices( single_extra_atom_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a extra atom line has invalid indices. That means that the number of atoms is more than the counts line. Args: single_extra_atom_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_extra_atom_line_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesMismatchError, match="more atom lines than count line"): ctable.valid_atom_indices() def test_single_missing_bond_line_invalid_atom_indices( single_missing_bond_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a missing bond line has invalid indices. That means that the number of bonds is fewer than the counts line. Args: single_missing_bond_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_missing_bond_line_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesMismatchError, match="fewer bond lines than count line"): ctable.valid_bond_indices() def test_single_extra_bond_line_invalid_atom_indices( single_extra_bond_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a extra bond line has invalid indices. That means that the number of bonds is more than the counts line. Args: single_extra_bond_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_extra_bond_line_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesMismatchError, match="more bond lines than count line"): ctable.valid_bond_indices() def test_single_duplicate_atom_index_invalid_atom_indices( single_duplicate_atom_index_v3000_sdf: Pathy, ) -> None: """An sdf block with a duplicate atom index has invalid indices. Args: single_duplicate_atom_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_duplicate_atom_index_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesDuplicateError, match="atoms"): ctable.valid_atom_indices() def test_single_duplicate_bond_index_invalid_bond_indices( single_duplicate_bond_index_v3000_sdf: Pathy, ) -> None: """An sdf block with a duplicate bond index has invalid indices. Args: single_duplicate_bond_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_duplicate_bond_index_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesDuplicateError, match="bonds"): ctable.valid_bond_indices() def test_single_shuffled_atom_lines_valid_atom_indices( single_shuffled_atom_lines_v3000_sdf: Pathy, ) -> None: """An sdf block with shuffled atom lines has valid indices. That means that the number of atoms matches the counts line, and each index is unique and integer. Does not check that the indices are 1-indexed and in order. Args: single_shuffled_atom_lines_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_shuffled_atom_lines_v3000_sdf)) ctable = mol.ctable() assert ctable.valid_atom_indices() def test_single_shuffled_atom_lines_strict_invalid_atom_indices( single_shuffled_atom_lines_v3000_sdf: Pathy, ) -> None: """An sdf block with shuffled atom lines has invalid indices, when strict. That means that the number of atoms matches the counts line, and each index is unique and integer. However, the indices are not 1-indexed and in order. Args: single_shuffled_atom_lines_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_shuffled_atom_lines_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesOutOfOrderError, match="atoms"): ctable.valid_atom_indices(strict=True) def test_single_shuffled_bond_lines_valid_bond_indices( single_shuffled_bond_lines_v3000_sdf: Pathy, ) -> None: """An sdf block with shuffled bond lines has valid indices. That means that the number of bonds matches the counts line, and each index is unique and integer. Does not check that the indices are 1-indexed and in order. Args: single_shuffled_bond_lines_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_shuffled_bond_lines_v3000_sdf)) ctable = mol.ctable() assert ctable.valid_bond_indices() def test_single_shuffled_bond_lines_strict_invalid_bond_indices( single_shuffled_bond_lines_v3000_sdf: Pathy, ) -> None: """An sdf block with shuffled bond lines has invalid indices, when strict. That means that the number of bonds matches the counts line, and each index is unique and integer. However, the indices are not 1-indexed and in order. Args: single_shuffled_bond_lines_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_shuffled_bond_lines_v3000_sdf)) ctable = mol.ctable() with pytest.raises(IndicesOutOfOrderError, match="bonds"): ctable.valid_bond_indices(strict=True) def test_single_mol_v2000_sdf_renumber_indices_not_implemented( single_mol_v2000_sdf: Pathy, ) -> None: """A v2000 sdf block cannot yet have indices renumbered. Args: single_mol_v2000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_mol_v2000_sdf)) with pytest.raises(NotImplementedError): mol.renumber_indices() def test_single_large_atom_index_strict_valid_atom_indices_renumbered( single_large_atom_index_v3000_sdf: Pathy, ) -> None: """An sdf block with large atom indices has strict valid indices, after renumbering. That means that the number of atoms matches the counts line, and each index is unique and integer. The indices are 1-indexed and in order after renumbering. Args: single_large_atom_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_large_atom_index_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_atom_indices(strict=True) def test_single_large_bond_index_strict_valid_bond_indices_renumbered( single_large_bond_index_v3000_sdf: Pathy, ) -> None: """An sdf block with large bond indices has strict valid indices, after renumbering. That means that the number of atoms matches the counts line, and each index is unique and integer. The indices are 1-indexed and in order after renumbering. Args: single_large_bond_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_large_bond_index_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_bond_indices(strict=True) def test_single_missing_atom_line_valid_atom_indices_after_renumbering( single_missing_atom_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a missing atom line has stric valid indices, after renumbering. Args: single_missing_atom_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_missing_atom_line_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_atom_indices(strict=True) def test_single_extra_atom_line_valid_atom_indices_after_renumbering( single_extra_atom_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a extra atom line has strict valid indices, after renumbering. Args: single_extra_atom_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_extra_atom_line_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_atom_indices(strict=True) def test_single_missing_bond_line_valid_atom_indices_after_renumbering( single_missing_bond_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a missing bond line has strict valid indices, after renumbering. Args: single_missing_bond_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_missing_bond_line_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_bond_indices(strict=True) def test_single_extra_bond_line_valid_atom_indices_after_renumbering( single_extra_bond_line_v3000_sdf: Pathy, ) -> None: """An sdf block with a extra bond line has strict valid indices, after renumbering. Args: single_extra_bond_line_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_extra_bond_line_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_bond_indices(strict=True) def test_single_duplicate_atom_index_invalid_atom_indices_even_renumbering( single_duplicate_atom_index_v3000_sdf: Pathy, ) -> None: """An sdf block with a duplicate atom index in bonds is invalid in renumbering. Args: single_duplicate_atom_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_duplicate_atom_index_v3000_sdf)) with pytest.raises(IndicesDuplicateError, match="atom index mapping in bond"): mol.renumber_indices() def test_single_duplicate_bond_index_valid_bond_indices_after_renumbering( single_duplicate_bond_index_v3000_sdf: Pathy, ) -> None: """An sdf block with a duplicate bond index has strict valid indices after renumbering. Args: single_duplicate_bond_index_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_duplicate_bond_index_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_bond_indices(strict=True) def test_single_shuffled_atom_lines_strict_valid_atom_indices_after_renumbering( single_shuffled_atom_lines_v3000_sdf: Pathy, ) -> None: """An sdf block with shuffled atom lines has strict valid indices, after renumbering. That means that the number of atoms matches the counts line, and each index is unique and integer. After renumbering, the indices are 1-indexed and in order. Args: single_shuffled_atom_lines_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_shuffled_atom_lines_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_atom_indices(strict=True) def test_single_shuffled_bond_lines_strict_valid_bond_indices_after_renumbering( single_shuffled_bond_lines_v3000_sdf: Pathy, ) -> None: """An sdf block with shuffled bond lines has strict valid indices, after renumbering. That means that the number of bonds matches the counts line, and each index is unique and integer. After renumbering, the indices are 1-indexed and in order. Args: single_shuffled_bond_lines_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_shuffled_bond_lines_v3000_sdf)) mol.renumber_indices() ctable = mol.ctable() assert ctable.valid_bond_indices(strict=True) def test_single_mol_v3000_sdf_idempotent_renumber( single_mol_v3000_sdf: Pathy, ) -> None: """A V3000 sdf block generated by RDKit, renumbered, is the same as the input. Args: single_mol_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next(parse_sdf(single_mol_v3000_sdf)) mol.renumber_indices() buffer = io.StringIO() mol.write(buffer) assert buffer.getvalue() == open(single_mol_v3000_sdf).read() def test_single_mol_v3000_sdf_idempotent_renumber_with_splitlines( single_mol_v3000_sdf: Pathy, ) -> None: """A V3000 sdf block generated by RDKit, renumbered, is the same as the input. Args: single_mol_v3000_sdf: pytest fixture of a Path to the sdf """ mol: SDBlock = next( SDBlock.from_lines(open(single_mol_v3000_sdf).read().splitlines()) ) mol.renumber_indices() buffer = io.StringIO() mol.write(buffer) assert buffer.getvalue() == open(single_mol_v3000_sdf).read()

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42fc4a338804296ed664851266745dcf61ab2e4a

8,516

py

Python

python/testData/inspections/PyUnresolvedReferencesInspection/operators.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/operators.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/operators.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class C(object): def __add__(self, other): return int(other) def __or__(self, other): return other def __rsub__(self, other): return other def __neg__(self): return self def test_object(): o1 = object() o2 = object() o1 <warning descr="Class 'object' does not define '__add__', so the '+' operator cannot be used on its instances">+</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__sub__', so the '-' operator cannot be used on its instances">-</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__mul__', so the '*' operator cannot be used on its instances">*</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__div__', so the '/' operator cannot be used on its instances">/</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__mod__', so the '%' operator cannot be used on its instances">%</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__pow__', so the '**' operator cannot be used on its instances">**</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__lshift__', so the '<<' operator cannot be used on its instances"><<</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__rshift__', so the '>>' operator cannot be used on its instances">>></warning> o2 #fail o1 <warning descr="Class 'object' does not define '__and__', so the '&' operator cannot be used on its instances">&</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__or__', so the '|' operator cannot be used on its instances">|</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__xor__', so the '^' operator cannot be used on its instances">^</warning> o2 #fail o1 <warning descr="Class 'object' does not define '__floordiv__', so the '//' operator cannot be used on its instances">//</warning> o2 #fail o2 < o1 < o2, o2 <= o1 <= o2, o1 == o2, o1 != o2, o2 in o1 #pass def test_custom_class(): c = C() o = object() c + o, c | o, o - c #pass c <warning descr="Class 'C' does not define '__sub__', so the '-' operator cannot be used on its instances">-</warning> o #fail c <warning descr="Class 'C' does not define '__mul__', so the '*' operator cannot be used on its instances">*</warning> o #fail c <warning descr="Class 'C' does not define '__div__', so the '/' operator cannot be used on its instances">/</warning> o #fail c <warning descr="Class 'C' does not define '__mod__', so the '%' operator cannot be used on its instances">%</warning> o #fail c <warning descr="Class 'C' does not define '__pow__', so the '**' operator cannot be used on its instances">**</warning> o #fail c <warning descr="Class 'C' does not define '__lshift__', so the '<<' operator cannot be used on its instances"><<</warning> o #fail c <warning descr="Class 'C' does not define '__rshift__', so the '>>' operator cannot be used on its instances">>></warning> o #fail c <warning descr="Class 'C' does not define '__and__', so the '&' operator cannot be used on its instances">&</warning> o #fail c <warning descr="Class 'C' does not define '__xor__', so the '^' operator cannot be used on its instances">^</warning> o #fail c <warning descr="Class 'C' does not define '__floordiv__', so the '//' operator cannot be used on its instances">//</warning> o #fail o < c < o, o <= c <= o, c == o, c != o, o in c #pass def test_builtins(): i = 0 o = object() i + o, i - o, i * o, i / o, i % o, i ** o, i << o, i >> o, i & o, i | o, i ^ o, i // o #pass o > i, o & i, o | i, o ^ i, o // i #pass s = 'foo' s + o, s * o, s % o #pass s <warning descr="Class 'str' does not define '__sub__', so the '-' operator cannot be used on its instances">-</warning> o #fail s <warning descr="Class 'str' does not define '__div__', so the '/' operator cannot be used on its instances">/</warning> o #fail s <warning descr="Class 'str' does not define '__pow__', so the '**' operator cannot be used on its instances">**</warning> o #fail s <warning descr="Class 'str' does not define '__lshift__', so the '<<' operator cannot be used on its instances"><<</warning> o #fail s <warning descr="Class 'str' does not define '__rshift__', so the '>>' operator cannot be used on its instances">>></warning> o #fail s <warning descr="Class 'str' does not define '__and__', so the '&' operator cannot be used on its instances">&</warning> o #fail s <warning descr="Class 'str' does not define '__or__', so the '|' operator cannot be used on its instances">|</warning> o #fail s <warning descr="Class 'str' does not define '__xor__', so the '^' operator cannot be used on its instances">^</warning> o #fail s <warning descr="Class 'str' does not define '__floordiv__', so the '//' operator cannot be used on its instances">//</warning> o #fail o < s < o, o <= s <= o, s == o, s != o, o in s #pass xs = [] xs + o, xs * o #pass xs <warning descr="Class 'list' does not define '__sub__', so the '-' operator cannot be used on its instances">-</warning> o #fail xs <warning descr="Class 'list' does not define '__div__', so the '/' operator cannot be used on its instances">/</warning> o #fail xs <warning descr="Class 'list' does not define '__mod__', so the '%' operator cannot be used on its instances">%</warning> o #fail xs <warning descr="Class 'list' does not define '__pow__', so the '**' operator cannot be used on its instances">**</warning> o #fail xs <warning descr="Class 'list' does not define '__lshift__', so the '<<' operator cannot be used on its instances"><<</warning> o #fail xs <warning descr="Class 'list' does not define '__rshift__', so the '>>' operator cannot be used on its instances">>></warning> o #fail xs <warning descr="Class 'list' does not define '__and__', so the '&' operator cannot be used on its instances">&</warning> o #fail xs <warning descr="Class 'list' does not define '__or__', so the '|' operator cannot be used on its instances">|</warning> o #fail xs <warning descr="Class 'list' does not define '__xor__', so the '^' operator cannot be used on its instances">^</warning> o #fail xs <warning descr="Class 'list' does not define '__floordiv__', so the '//' operator cannot be used on its instances">//</warning> o #fail o < xs < o, o <= xs <= o, xs == o, xs != o, o in xs #pass def test_subscription(): class C(object): def __getitem__(self, key, value): pass def __setitem__(self, item): pass def __delitem__(self, item): pass class D(object): pass class E(object): def __getitem__(self, item): pass c = C() c[0] = 0 print(c[0]) del c[0] d = D() d<warning descr="Class 'D' does not define '__setitem__', so the '[]' operator cannot be used on its instances">[</warning>0] = 0 print(d<warning descr="Class 'D' does not define '__getitem__', so the '[]' operator cannot be used on its instances">[</warning>0]) del d<warning descr="Class 'D' does not define '__delitem__', so the '[]' operator cannot be used on its instances">[</warning>0] e = E() e<warning descr="Class 'E' does not define '__setitem__', so the '[]' operator cannot be used on its instances">[</warning>0] = 0 print(e[0]) del e<warning descr="Class 'E' does not define '__delitem__', so the '[]' operator cannot be used on its instances">[</warning>0] def test_unary_operators(): o = object() print(<warning descr="Class 'object' does not define '__pos__', so the '+' operator cannot be used on its instances">+</warning>o) print(<warning descr="Class 'object' does not define '__neg__', so the '-' operator cannot be used on its instances">-</warning>o) print(<warning descr="Class 'object' does not define '__invert__', so the '~' operator cannot be used on its instances">~</warning>o) i = 1 print(+i) print(-i) print(~i) c = C() print(<warning descr="Class 'C' does not define '__pos__', so the '+' operator cannot be used on its instances">+</warning>c) print(-c) print(<warning descr="Class 'C' does not define '__invert__', so the '~' operator cannot be used on its instances">~</warning>c)

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0

null

0

1

0

8

6e213f24da145244839f0e47002eb0785b47031c

66

py

Python

dogebuild_fpc/loader.py

dogebuild/dogebuild-fpc

8b061cfe25d22ecb49d792a4e4b1bd5f773a7e51

[ "MIT" ]

null

dogebuild_fpc/loader.py

dogebuild/dogebuild-fpc

8b061cfe25d22ecb49d792a4e4b1bd5f773a7e51

[ "MIT" ]

null

dogebuild_fpc/loader.py

dogebuild/dogebuild-fpc

8b061cfe25d22ecb49d792a4e4b1bd5f773a7e51

[ "MIT" ]

null

from dogebuild_fpc.fpc import Fpc def get(): return Fpc()

8.25

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0.666667

10

66

4.3

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null

0

1

0

1

0

7

28225387ed3c33e79ed90cabd412bce4674eb366

50,069

py

Python

protos/job_pb2_grpc.py

ilyde-platform/ilyde-jobs

3b272dfe45c498f8e5cbc34a3b2be7d564885d8d

[ "Apache-2.0" ]

null

protos/job_pb2_grpc.py

ilyde-platform/ilyde-jobs

3b272dfe45c498f8e5cbc34a3b2be7d564885d8d

[ "Apache-2.0" ]

null

protos/job_pb2_grpc.py

ilyde-platform/ilyde-jobs

3b272dfe45c498f8e5cbc34a3b2be7d564885d8d

[ "Apache-2.0" ]

null

# # Copyright (c) 2020-2021 Hopenly srl. # # This file is part of Ilyde. # # 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. # # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from protos import job_pb2 as job__pb2 class WorkspaceServicesStub(object): """The workspace service definition. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Retrieve = channel.unary_unary( '/jobs.WorkspaceServices/Retrieve', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Workspace.FromString, ) self.Create = channel.unary_unary( '/jobs.WorkspaceServices/Create', request_serializer=job__pb2.Workspace.SerializeToString, response_deserializer=job__pb2.Workspace.FromString, ) self.Update = channel.unary_unary( '/jobs.WorkspaceServices/Update', request_serializer=job__pb2.Workspace.SerializeToString, response_deserializer=job__pb2.Workspace.FromString, ) self.Delete = channel.unary_unary( '/jobs.WorkspaceServices/Delete', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) self.Search = channel.unary_unary( '/jobs.WorkspaceServices/Search', request_serializer=job__pb2.SearchRequest.SerializeToString, response_deserializer=job__pb2.SearchWorkspaceResponse.FromString, ) self.Start = channel.unary_unary( '/jobs.WorkspaceServices/Start', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) self.State = channel.unary_unary( '/jobs.WorkspaceServices/State', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.JobState.FromString, ) self.Stop = channel.unary_unary( '/jobs.WorkspaceServices/Stop', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) class WorkspaceServicesServicer(object): """The workspace service definition. """ def Retrieve(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Create(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Update(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Delete(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Search(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Start(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def State(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Stop(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_WorkspaceServicesServicer_to_server(servicer, server): rpc_method_handlers = { 'Retrieve': grpc.unary_unary_rpc_method_handler( servicer.Retrieve, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Workspace.SerializeToString, ), 'Create': grpc.unary_unary_rpc_method_handler( servicer.Create, request_deserializer=job__pb2.Workspace.FromString, response_serializer=job__pb2.Workspace.SerializeToString, ), 'Update': grpc.unary_unary_rpc_method_handler( servicer.Update, request_deserializer=job__pb2.Workspace.FromString, response_serializer=job__pb2.Workspace.SerializeToString, ), 'Delete': grpc.unary_unary_rpc_method_handler( servicer.Delete, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), 'Search': grpc.unary_unary_rpc_method_handler( servicer.Search, request_deserializer=job__pb2.SearchRequest.FromString, response_serializer=job__pb2.SearchWorkspaceResponse.SerializeToString, ), 'Start': grpc.unary_unary_rpc_method_handler( servicer.Start, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), 'State': grpc.unary_unary_rpc_method_handler( servicer.State, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.JobState.SerializeToString, ), 'Stop': grpc.unary_unary_rpc_method_handler( servicer.Stop, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'jobs.WorkspaceServices', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class WorkspaceServices(object): """The workspace service definition. """ @staticmethod def Retrieve(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/Retrieve', job__pb2.ID.SerializeToString, job__pb2.Workspace.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Create(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/Create', job__pb2.Workspace.SerializeToString, job__pb2.Workspace.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Update(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/Update', job__pb2.Workspace.SerializeToString, job__pb2.Workspace.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Delete(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/Delete', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Search(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/Search', job__pb2.SearchRequest.SerializeToString, job__pb2.SearchWorkspaceResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Start(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/Start', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def State(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/State', job__pb2.ID.SerializeToString, job__pb2.JobState.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Stop(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.WorkspaceServices/Stop', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) class ModelApisServicesStub(object): """The ModelApis service definition. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Retrieve = channel.unary_unary( '/jobs.ModelApisServices/Retrieve', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.ModelApis.FromString, ) self.Create = channel.unary_unary( '/jobs.ModelApisServices/Create', request_serializer=job__pb2.ModelApis.SerializeToString, response_deserializer=job__pb2.ModelApis.FromString, ) self.Delete = channel.unary_unary( '/jobs.ModelApisServices/Delete', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) self.Search = channel.unary_unary( '/jobs.ModelApisServices/Search', request_serializer=job__pb2.SearchRequest.SerializeToString, response_deserializer=job__pb2.SearchModelApisResponse.FromString, ) self.Start = channel.unary_unary( '/jobs.ModelApisServices/Start', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) self.State = channel.unary_unary( '/jobs.ModelApisServices/State', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.JobState.FromString, ) self.Stop = channel.unary_unary( '/jobs.ModelApisServices/Stop', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) class ModelApisServicesServicer(object): """The ModelApis service definition. """ def Retrieve(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Create(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Delete(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Search(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Start(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def State(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Stop(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_ModelApisServicesServicer_to_server(servicer, server): rpc_method_handlers = { 'Retrieve': grpc.unary_unary_rpc_method_handler( servicer.Retrieve, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.ModelApis.SerializeToString, ), 'Create': grpc.unary_unary_rpc_method_handler( servicer.Create, request_deserializer=job__pb2.ModelApis.FromString, response_serializer=job__pb2.ModelApis.SerializeToString, ), 'Delete': grpc.unary_unary_rpc_method_handler( servicer.Delete, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), 'Search': grpc.unary_unary_rpc_method_handler( servicer.Search, request_deserializer=job__pb2.SearchRequest.FromString, response_serializer=job__pb2.SearchModelApisResponse.SerializeToString, ), 'Start': grpc.unary_unary_rpc_method_handler( servicer.Start, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), 'State': grpc.unary_unary_rpc_method_handler( servicer.State, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.JobState.SerializeToString, ), 'Stop': grpc.unary_unary_rpc_method_handler( servicer.Stop, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'jobs.ModelApisServices', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class ModelApisServices(object): """The ModelApis service definition. """ @staticmethod def Retrieve(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ModelApisServices/Retrieve', job__pb2.ID.SerializeToString, job__pb2.ModelApis.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Create(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ModelApisServices/Create', job__pb2.ModelApis.SerializeToString, job__pb2.ModelApis.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Delete(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ModelApisServices/Delete', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Search(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ModelApisServices/Search', job__pb2.SearchRequest.SerializeToString, job__pb2.SearchModelApisResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Start(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ModelApisServices/Start', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def State(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ModelApisServices/State', job__pb2.ID.SerializeToString, job__pb2.JobState.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Stop(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ModelApisServices/Stop', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) class RunServicesStub(object): """The Run service definition. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Get = channel.unary_unary( '/jobs.RunServices/Get', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Run.FromString, ) self.Submit = channel.unary_unary( '/jobs.RunServices/Submit', request_serializer=job__pb2.Run.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) self.Search = channel.unary_unary( '/jobs.RunServices/Search', request_serializer=job__pb2.SearchRequest.SerializeToString, response_deserializer=job__pb2.SearchRunResponse.FromString, ) self.State = channel.unary_unary( '/jobs.RunServices/State', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.JobState.FromString, ) self.Stop = channel.unary_unary( '/jobs.RunServices/Stop', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) class RunServicesServicer(object): """The Run service definition. """ def Get(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Submit(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Search(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def State(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Stop(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_RunServicesServicer_to_server(servicer, server): rpc_method_handlers = { 'Get': grpc.unary_unary_rpc_method_handler( servicer.Get, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Run.SerializeToString, ), 'Submit': grpc.unary_unary_rpc_method_handler( servicer.Submit, request_deserializer=job__pb2.Run.FromString, response_serializer=job__pb2.Status.SerializeToString, ), 'Search': grpc.unary_unary_rpc_method_handler( servicer.Search, request_deserializer=job__pb2.SearchRequest.FromString, response_serializer=job__pb2.SearchRunResponse.SerializeToString, ), 'State': grpc.unary_unary_rpc_method_handler( servicer.State, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.JobState.SerializeToString, ), 'Stop': grpc.unary_unary_rpc_method_handler( servicer.Stop, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'jobs.RunServices', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class RunServices(object): """The Run service definition. """ @staticmethod def Get(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.RunServices/Get', job__pb2.ID.SerializeToString, job__pb2.Run.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Submit(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.RunServices/Submit', job__pb2.Run.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Search(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.RunServices/Search', job__pb2.SearchRequest.SerializeToString, job__pb2.SearchRunResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def State(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.RunServices/State', job__pb2.ID.SerializeToString, job__pb2.JobState.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Stop(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.RunServices/Stop', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) class ExperimentServicesStub(object): """The Experiment service definition. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Get = channel.unary_unary( '/jobs.ExperimentServices/Get', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Experiment.FromString, ) self.Submit = channel.unary_unary( '/jobs.ExperimentServices/Submit', request_serializer=job__pb2.Experiment.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) self.Search = channel.unary_unary( '/jobs.ExperimentServices/Search', request_serializer=job__pb2.SearchRequest.SerializeToString, response_deserializer=job__pb2.SearchExperimentResponse.FromString, ) self.State = channel.unary_unary( '/jobs.ExperimentServices/State', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.JobState.FromString, ) self.Stop = channel.unary_unary( '/jobs.ExperimentServices/Stop', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) class ExperimentServicesServicer(object): """The Experiment service definition. """ def Get(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Submit(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Search(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def State(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Stop(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_ExperimentServicesServicer_to_server(servicer, server): rpc_method_handlers = { 'Get': grpc.unary_unary_rpc_method_handler( servicer.Get, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Experiment.SerializeToString, ), 'Submit': grpc.unary_unary_rpc_method_handler( servicer.Submit, request_deserializer=job__pb2.Experiment.FromString, response_serializer=job__pb2.Status.SerializeToString, ), 'Search': grpc.unary_unary_rpc_method_handler( servicer.Search, request_deserializer=job__pb2.SearchRequest.FromString, response_serializer=job__pb2.SearchExperimentResponse.SerializeToString, ), 'State': grpc.unary_unary_rpc_method_handler( servicer.State, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.JobState.SerializeToString, ), 'Stop': grpc.unary_unary_rpc_method_handler( servicer.Stop, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'jobs.ExperimentServices', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class ExperimentServices(object): """The Experiment service definition. """ @staticmethod def Get(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ExperimentServices/Get', job__pb2.ID.SerializeToString, job__pb2.Experiment.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Submit(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ExperimentServices/Submit', job__pb2.Experiment.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Search(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ExperimentServices/Search', job__pb2.SearchRequest.SerializeToString, job__pb2.SearchExperimentResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def State(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ExperimentServices/State', job__pb2.ID.SerializeToString, job__pb2.JobState.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Stop(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.ExperimentServices/Stop', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) class EnvironmentServicesStub(object): """The Environment service definition. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.GetHardwareTier = channel.unary_unary( '/jobs.EnvironmentServices/GetHardwareTier', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.HardwareTier.FromString, ) self.CreateHardwareTier = channel.unary_unary( '/jobs.EnvironmentServices/CreateHardwareTier', request_serializer=job__pb2.HardwareTier.SerializeToString, response_deserializer=job__pb2.HardwareTier.FromString, ) self.UpdateHardwareTier = channel.unary_unary( '/jobs.EnvironmentServices/UpdateHardwareTier', request_serializer=job__pb2.HardwareTier.SerializeToString, response_deserializer=job__pb2.HardwareTier.FromString, ) self.DeleteHardwareTier = channel.unary_unary( '/jobs.EnvironmentServices/DeleteHardwareTier', request_serializer=job__pb2.ID.SerializeToString, response_deserializer=job__pb2.Status.FromString, ) self.ListHardwareTiers = channel.unary_unary( '/jobs.EnvironmentServices/ListHardwareTiers', request_serializer=job__pb2.Pagination.SerializeToString, response_deserializer=job__pb2.ListHardwareTierResponse.FromString, ) self.ListEnvironments = channel.unary_unary( '/jobs.EnvironmentServices/ListEnvironments', request_serializer=job__pb2.Pagination.SerializeToString, response_deserializer=job__pb2.ListEnvironmentResponse.FromString, ) self.ListWorkspaceIde = channel.unary_unary( '/jobs.EnvironmentServices/ListWorkspaceIde', request_serializer=job__pb2.Pagination.SerializeToString, response_deserializer=job__pb2.ListIdeResponse.FromString, ) class EnvironmentServicesServicer(object): """The Environment service definition. """ def GetHardwareTier(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateHardwareTier(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def UpdateHardwareTier(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteHardwareTier(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListHardwareTiers(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListEnvironments(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListWorkspaceIde(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_EnvironmentServicesServicer_to_server(servicer, server): rpc_method_handlers = { 'GetHardwareTier': grpc.unary_unary_rpc_method_handler( servicer.GetHardwareTier, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.HardwareTier.SerializeToString, ), 'CreateHardwareTier': grpc.unary_unary_rpc_method_handler( servicer.CreateHardwareTier, request_deserializer=job__pb2.HardwareTier.FromString, response_serializer=job__pb2.HardwareTier.SerializeToString, ), 'UpdateHardwareTier': grpc.unary_unary_rpc_method_handler( servicer.UpdateHardwareTier, request_deserializer=job__pb2.HardwareTier.FromString, response_serializer=job__pb2.HardwareTier.SerializeToString, ), 'DeleteHardwareTier': grpc.unary_unary_rpc_method_handler( servicer.DeleteHardwareTier, request_deserializer=job__pb2.ID.FromString, response_serializer=job__pb2.Status.SerializeToString, ), 'ListHardwareTiers': grpc.unary_unary_rpc_method_handler( servicer.ListHardwareTiers, request_deserializer=job__pb2.Pagination.FromString, response_serializer=job__pb2.ListHardwareTierResponse.SerializeToString, ), 'ListEnvironments': grpc.unary_unary_rpc_method_handler( servicer.ListEnvironments, request_deserializer=job__pb2.Pagination.FromString, response_serializer=job__pb2.ListEnvironmentResponse.SerializeToString, ), 'ListWorkspaceIde': grpc.unary_unary_rpc_method_handler( servicer.ListWorkspaceIde, request_deserializer=job__pb2.Pagination.FromString, response_serializer=job__pb2.ListIdeResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'jobs.EnvironmentServices', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class EnvironmentServices(object): """The Environment service definition. """ @staticmethod def GetHardwareTier(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.EnvironmentServices/GetHardwareTier', job__pb2.ID.SerializeToString, job__pb2.HardwareTier.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateHardwareTier(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.EnvironmentServices/CreateHardwareTier', job__pb2.HardwareTier.SerializeToString, job__pb2.HardwareTier.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def UpdateHardwareTier(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.EnvironmentServices/UpdateHardwareTier', job__pb2.HardwareTier.SerializeToString, job__pb2.HardwareTier.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DeleteHardwareTier(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.EnvironmentServices/DeleteHardwareTier', job__pb2.ID.SerializeToString, job__pb2.Status.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ListHardwareTiers(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.EnvironmentServices/ListHardwareTiers', job__pb2.Pagination.SerializeToString, job__pb2.ListHardwareTierResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ListEnvironments(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.EnvironmentServices/ListEnvironments', job__pb2.Pagination.SerializeToString, job__pb2.ListEnvironmentResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ListWorkspaceIde(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/jobs.EnvironmentServices/ListWorkspaceIde', job__pb2.Pagination.SerializeToString, job__pb2.ListIdeResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

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Python

QuantTorch/layers/elastic_layers.py

Enderdead/BinaryConnect_PyTorch

990e970b1fbd299ff88200db21a9cc3fe44706d3

[ "MIT" ]

75

2019-03-19T07:36:56.000Z

2021-12-23T02:34:59.000Z

QuantTorch/layers/elastic_layers.py

Enderdead/BinaryConnect_PyTorch

990e970b1fbd299ff88200db21a9cc3fe44706d3

[ "MIT" ]

10

2019-03-19T21:16:56.000Z

2019-04-16T15:05:37.000Z

QuantTorch/layers/elastic_layers.py

Enderdead/BinaryConnect_PyTorch

990e970b1fbd299ff88200db21a9cc3fe44706d3

[ "MIT" ]

9

2019-08-12T10:33:55.000Z

2021-07-23T02:10:06.000Z

import torch from torch._jit_internal import weak_module, weak_script_method, List from torch.nn.modules.utils import _pair import torch.nn.functional as F from torch.nn.parameter import Parameter from math import sqrt from ..device import device from .common import QLayer from ..functions import elastic_quant_connect from ..utils.tools import flat_net class LinearQuantLin(torch.nn.Module, QLayer): @staticmethod def convert(other, bottom=-1, top=1, size=5, alpha=0, beta=0): if not isinstance(other, torch.nn.Linear): raise TypeError("Expected a torch.nn.Linear ! Receive: {}".format(other.__class__)) result = LinearQuantLin(other.in_features, other.out_features, False if other.bias is None else True, bottom=bottom, top=top, size=size, alpha=alpha, beta=beta) result.weight.data.copy_(other.weight.data) if not other.bias is None: result.bias.data.copy_(other.bias.data) return result def __init__(self, in_features, out_features, bias=True, bottom=-1, top=1, size=5, alpha=0, beta=0): torch.nn.Module.__init__(self) self.in_features = in_features self.out_features = out_features self.bottom = bottom self.top = top self.size = size self.register_buffer("alpha", torch.Tensor([alpha])) self.register_buffer("beta", torch.Tensor([beta])) self.weight = torch.nn.Parameter(torch.Tensor(out_features, in_features)) if bias: self.bias = torch.nn.Parameter(torch.Tensor(out_features)) else: self.register_parameter('bias', None) self.reset_parameters() self.linear_op = elastic_quant_connect.QuantLinDense(size=size, bottom=bottom, top=top) def reset_parameters(self): self.weight.data.uniform_(self.bottom, self.top) if self.bias is not None: self.bias.data.zero_() def clamp(self): self.weight.data.clamp_(self.bottom, self.top) if not self.bias is None: self.bias.data.clamp_(self.bottom, self.top) def set_alpha(self, alpha): self.alpha = torch.Tensor([alpha]).to(self.weight.device) def set_beta(self, beta): self.beta = torch.Tensor([beta]).to(self.weight.device) def train(self, mode=True): self.training = mode #if self.training==mode: # return #if mode: # self.weight.data.copy_(self.weight.org.data) #else: # Eval mod # if not hasattr(self.weight,'org'): # self.weight.org=self.weight.data.clone() # self.weight.org.data.copy_(self.weight.data) # self.weight.data.copy_(elastic_quant_connect.lin_proj(self.weight, bottom=self.bottom, top=self.top, size=self.size).detach()) def forward(self, input): if self.training : return self.linear_op.apply(input, self.weight, self.bias, self.alpha, self.beta) else: return torch.nn.functional.linear(input, elastic_quant_connect.lin_proj(self.weight, bottom=self.bottom, top=self.top, size=self.size), self.bias) class LinearQuantLog(torch.nn.Module, QLayer): @staticmethod def convert(other, gamma=2, init=0.25, size=5, alpha=0, beta=0): if not isinstance(other, torch.nn.Linear): raise TypeError("Expected a torch.nn.Linear ! Receive: {}".format(other.__class__)) result = LinearQuantLog(other.in_features, other.out_features, False if other.bias is None else True, gamma=gamma, init=init, size=size, alpha=alpha, beta=beta) result.weight.data.copy_(other.weight.data) if not other.bias is None: result.bias.data.copy_(other.bias.data) return result def __init__(self, in_features, out_features, bias=True, gamma=2, init=0.25, size=5, alpha=0, beta=0): super(LinearQuantLog, self).__init__() self.in_features = in_features self.out_features = out_features self.gamma = gamma self.init = init self.size = size self.register_buffer("alpha", torch.Tensor([alpha])) self.register_buffer("beta", torch.Tensor([beta])) self.weight = torch.nn.Parameter(torch.Tensor(out_features, in_features)) if bias: self.bias = torch.nn.Parameter(torch.Tensor(out_features)) else: self.register_parameter('bias', None) self.reset_parameters() self.linear_op = elastic_quant_connect.QuantLogDense(gamma=gamma, init=init, size=size) def reset_parameters(self): self.weight.data.uniform_(-self.init*self.gamma**(self.size-1), self.init*self.gamma**(self.size-1)) if self.bias is not None: self.bias.data.zero_() def train(self, mode=True): self.training = mode #if self.training==mode: # return """ if mode: self.weight.data.copy_(self.weight.org.data) else: # Eval mod if not hasattr(self.weight,'org'): self.weight.org=self.weight.data.clone() self.weight.org.data.copy_(self.weight.data) self.weight.data.copy_(elastic_quant_connect.exp_proj(self.weight, gamma=self.gamma, init=self.init, size=self.size).detach()) """ def clamp(self): self.weight.data.clamp_(-self.init*self.gamma**(self.size-1), self.init*self.gamma**(self.size-1)) if not self.bias is None: self.bias.data.clamp_(-self.init*self.gamma**(self.size-1), self.init*self.gamma**(self.size-1)) def set_alpha(self, alpha): self.alpha = torch.Tensor([alpha]).to(self.weight.device) def set_beta(self, beta): self.beta = torch.Tensor([beta]).to(self.weight.device) def forward(self, input): if self.training: return self.linear_op.apply(input, self.weight, self.bias, self.alpha, self.beta) else: return torch.nn.functional.linear(input, elastic_quant_connect.exp_proj(self.weight, init=self.init, gamma=self.gamma, size=self.size), self.bias) class QuantConv2dLin(torch.nn.Conv2d, QLayer): @staticmethod def convert(other, bottom=-1, top=1, size=5, alpha=0, beta=0): if not isinstance(other, torch.nn.Conv2d): raise TypeError("Expected a torch.nn.Conv2d ! Receive: {}".format(other.__class__)) result= QuantConv2dLin(other.in_channels, other.out_channels, other.kernel_size, stride=other.stride, padding=other.padding, dilation=other.dilation, groups=other.groups, bias=False if other.bias is None else True, bottom=bottom, top=top, size=size, alpha=alpha, beta=beta) result.weight.data.copy_(other.weight.data) if not other.bias is None: result.bias.data.copy_(other.bias.data) return result def __init__(self, in_channels, out_channels, kernel_size, bottom=-1, top=1, size=5, alpha=0, beta=0, stride=1, padding=1, dilation=1, groups=1, bias=True): self.top = top self.bottom = bottom self.size = size torch.nn.Conv2d.__init__(self, in_channels, out_channels, kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, bias=bias) self.register_buffer("alpha", torch.Tensor([alpha])) self.register_buffer("beta", torch.Tensor([beta])) self.weight_op = elastic_quant_connect.QuantWeightLin(self.top, self.bottom, self.size) def train(self, mode=True): self.training = mode #if self.training==mode: # return #if mode: # self.weight.data.copy_(self.weight.org.data) #else: # Eval mod # if not hasattr(self.weight,'org'): # self.weight.org=self.weight.data.clone() # self.weight.org.data.copy_(self.weight.data) # self.weight.data.copy_(elastic_quant_connect.lin_proj(self.weight, bottom=self.bottom, top=self.top, size=self.size).detach()) """ def reset_parameters(self): self.weight.data.uniform_(self.bottom, self.top) if self.bias is not None: self.bias.data.zero_() """ def clamp(self): self.weight.data.clamp_(self.bottom, self.top) if not self.bias is None: self.bias.data.clamp_(self.bottom, self.top) def set_alpha(self, alpha): self.alpha = torch.Tensor([alpha]).to(self.weight.device) def set_beta(self, beta): self.beta = torch.Tensor([beta]).to(self.weight.device) def forward(self, input): if self.training: out = torch.nn.functional.conv2d(input, self.weight_op.apply(self.weight, self.alpha, self.beta), self.bias, self.stride, self.padding, self.dilation, self.groups) else: out = torch.nn.functional.conv2d(input, elastic_quant_connect.lin_proj(self.weight, bottom=self.bottom, top=self.top, size=self.size), self.bias, self.stride, self.padding, self.dilation, self.groups) return out class QuantConv2dLog(torch.nn.Conv2d, QLayer): @staticmethod def convert(other, gamma=2, init=0.25, size=5, alpha=0, beta=0): if not isinstance(other, torch.nn.Conv2d): raise TypeError("Expected a torch.nn.Conv2d ! Receive: {}".format(other.__class__)) result = QuantConv2dLog(other.in_channels, other.out_channels, other.kernel_size, stride=other.stride, padding=other.padding, dilation=other.dilation, groups=other.groups, bias=False if other.bias is None else True, gamma=gamma, init=init, size=size, alpha=alpha, beta=beta) result.weight.data.copy_(other.weight.data) if not other.bias is None: result.bias.data.copy_(other.bias.data) return result def __init__(self, in_channels, out_channels, kernel_size, gamma=2, init=0.25, size=5, alpha=0, beta=0, stride=1, padding=1, dilation=1, groups=1, bias=True): torch.nn.Conv2d.__init__(self, in_channels, out_channels, kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, bias=bias) self.gamma = gamma self.init = init self.size = size self.register_buffer("alpha", torch.Tensor([alpha])) self.register_buffer("beta", torch.Tensor([beta])) self.weight_op = elastic_quant_connect.QuantWeightExp(gamma=self.gamma, init=self.init, size=self.size) def train(self, mode=True): self.training = mode #if self.training==mode: # return #if mode: # self.weight.data.copy_(self.weight.org.data) #else: # Eval mod # if not hasattr(self.weight,'org'): # self.weight.org=self.weight.data.clone() # self.weight.org.data.copy_(self.weight.data) # self.weight.data.copy_(elastic_quant_connect.lin_proj(self.weight, bottom=self.bottom, top=self.top, size=self.size).detach()) """ def reset_parameters(self): self.weight.data.uniform_(self.bottom, self.top) if self.bias is not None: self.bias.data.zero_() """ def clamp(self): self.weight.data.clamp_(self.bottom, self.top) if not self.bias is None: self.bias.data.clamp_(self.bottom, self.top) def set_alpha(self, alpha): self.alpha = torch.Tensor([alpha]).to(self.weight.device) def set_beta(self, beta): self.alpha = torch.Tensor([beta]).to(self.weight.device) def forward(self, input): if self.training: out = torch.nn.functional.conv2d(input, self.weight_op.apply(self.weight, self.alpha, self.beta), self.bias, self.stride, self.padding, self.dilation, self.groups) else: out = torch.nn.functional.conv2d(input, elastic_quant_connect.exp_proj(self.weight, init=self.init, gamma=self.gamma, size=self.size), self.bias, self.stride, self.padding, self.dilation, self.groups) return out def set_model_alpha(model, alpha): layers = flat_net(model, (LinearQuantLin, LinearQuantLog, QuantConv2dLin, QuantConv2dLog)) for layer in layers: layer.set_alpha(alpha) def set_model_beta(model, beta): layers = flat_net(model, (LinearQuantLin, LinearQuantLog, QuantConv2dLin, QuantConv2dLog)) for layer in layers: layer.set_beta(beta)

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287c517bd8e4908d4c3b0bca4c2fbb77e591e2d3

1,510

py

Python

YTools/universe/exceptions.py

FFTYYY/YTools

f1de3ebd913a1c66e5a82d53562cef2ab71f3255

[ "MIT" ]

1

2020-05-31T08:12:54.000Z

YTools/universe/exceptions.py

FFTYYY/YTools

f1de3ebd913a1c66e5a82d53562cef2ab71f3255

[ "MIT" ]

null

YTools/universe/exceptions.py

FFTYYY/YTools

f1de3ebd913a1c66e5a82d53562cef2ab71f3255

[ "MIT" ]

null

class ArgumentError(Exception): '''函数的参数不符合要求''' def __init__(self, func_name , var_name = None , var_val = None , class_name = None , note_str = None): ''' 参数： func_name：字符串。抛出异常的位置 var_name： str，抛出异常的变量名 var_val： object，抛出异常的变量值 in_class：如果不是None，就是某个class ''' if class_name is not None: func_name = "{class_name}.{func_name}".format(class_name = class_name , func_name = func_name) if note_str is None: note_str = "Invalid argument value" var_str = "" if var_name is not None: var_str = ": {var_name} can not be {var_val}".format(var_name = var_name , var_val = var_val) self.args = ["{func_name}: {note_str}{var_str}".format( func_name = func_name , note_str = note_str , var_str = var_str )] class YAttributeError(Exception): '''函数的参数不符合要求''' def __init__(self, func_name , var_name = None , var_val = None , class_name = None , note_str = None): ''' 参数： func_name：字符串。抛出异常的位置 var_name： str，抛出异常的变量名 var_val： object，抛出异常的变量值 in_class：如果不是None，就是某个class ''' if class_name is not None: func_name = "{class_name}.{func_name}".format(class_name = class_name , func_name = func_name) if note_str is None: note_str = "Invalid artribute value" var_str = "" if var_name is not None: var_str = ": {var_name} can not be {var_val}".format(var_name = var_name , var_val = var_val) self.args = ["{func_name}: {note_str}{var_str}".format( func_name = func_name , note_str = note_str , var_str = var_str )]

30.2

104

0.678808

232

1,510

4.064655

0.150862

0.152704

0.101803

0.055143

0.941676

0

0.196689

1,510

49

105

30.816327

0.777411

0.19404

0

0.833333

0

0.182488

0.03928

0

1

0.083333

false

0

0.166667

0

null

0

1

0

1

0

null

0

7

953d0eaf4334a306fbd6c348c623da315a6de7e6

24,496

py

Python

tests/data/test_fixtures/mapper_custom_data_types_fixtures.py

Breaka84/spooq

d44eb5ad98612ff59826e7caa6d3b255f3a351c2

[ "MIT" ]

null

tests/data/test_fixtures/mapper_custom_data_types_fixtures.py

Breaka84/spooq

d44eb5ad98612ff59826e7caa6d3b255f3a351c2

[ "MIT" ]

null

tests/data/test_fixtures/mapper_custom_data_types_fixtures.py

Breaka84/spooq

d44eb5ad98612ff59826e7caa6d3b255f3a351c2

[ "MIT" ]

null

import datetime from pyspark.sql import functions as F from pyspark.sql import types as T complex_event_expression = ( F.when(F.col("nested.input_key_1").isNotNull(), F.col("nested.input_key_1") / 1000) .otherwise(F.col("nested.input_key_2") / 1000) .cast(T.TimestampType()) .cast(T.DateType()) ) # fmt: off fixtures_for_spark_sql_object = [ # input_value_1 # input_value_1 # mapper function # expected_value ("place_holder", "place_holder", F.current_date(), datetime.date.today()), ("place_holder", "place_holder", F.current_timestamp(), datetime.datetime.now()), ("some string", "place_holder", F.col("nested.input_key_1"), "some string"), ("some string to count", "place_holder", F.length("nested.input_key_1"), 20), ("some string", None, F.coalesce("nested.input_key_1", "nested.input_key_2"), "some string"), (None, "some other string", F.coalesce("nested.input_key_1", "nested.input_key_2"), "some other string"), (1597069446, "placeholder", (F.col("nested.input_key_1") .cast(T.TimestampType()) .cast(T.DateType())), datetime.date(2020, 8, 10)), (1597069446000, None, complex_event_expression, datetime.date(2020, 8, 10)), (None, 1597069446000, complex_event_expression, datetime.date(2020, 8, 10)), (1597242246000, 1597069446000, complex_event_expression, datetime.date(2020, 8, 12)), ] fixtures_for_has_value = [ ("1", True), ("", False), ("1.0", True), ("TRUE", True), ("True", True), ("true", True), ("0", True), ("0.0", True), ("-1", True), ("-1.0", True), ("123", True), ("-123", True), (None, False), ("FALSE", True), ("False", True), ("false", True), ("y", True), ("n", True), ("yes", True), ("no", True), ("enabled", True), ("disabled", True), ("on", True), ("off", True), (" true", True), ("true ", True), (" true ", True), (1, True), (0, True), (-1, True), (1.0, True), (0.0, True), (-1.0, True), (True, True), (False, True), ] fixtures_for_extended_string_to_int = [ ("123456", 123456), ("-123456", -123456), ("-1", -1), ("0", 0), ("NULL", None), ("null", None), ("None", None), (None, None), ("Hello World", None), ("2020-08-12", None), ("1234.56", 1234), ("-1234.56", -1234), ("123,456", None), # commas not allowed due to their ambiguity ("-123,456", None), # commas not allowed due to their ambiguity ("123_456", 123456), ("-123_456", -123456), (" 123456", 123456), ("123456 ", 123456), (" 123456 ", 123456), (123456, 123456), (-123456, -123456), (-1, -1), (0, 0), (1234.56, 1234), (-1234.56, -1234), ] fixtures_for_extended_string_to_long = [ ("21474836470", 21474836470), ("-21474836470", -21474836470), ("-1", -1), ("0", 0), ("NULL", None), ("null", None), ("None", None), (None, None), ("Hello World", None), ("2020-08-12T12:43:14+0000", None), ("214748364.70", 214748364), ("-214748364.70", -214748364), ("21,474,836,470", None), # commas not allowed due to their ambiguity ("-21,474,836,470", None), # commas not allowed due to their ambiguity ("214748364,7", None), # commas not allowed due to their ambiguity ("-214748364,7", None), # commas not allowed due to their ambiguity ("21_474_836_470", 21474836470), ("-21_474_836_470", -21474836470), (" 21474836470", 21474836470), ("21474836470 ", 21474836470), (" 21474836470 ", 21474836470), (2147483.64, 2147483), (-2147483.64, -2147483), (21474836470, 21474836470), (-21474836470, -21474836470), (-1, -1), (0, 0), ] fixtures_for_extended_string_to_float = [ ("123456.0", 123456.0), ("123456", 123456.0), ("-123456.0", -123456.0), ("-1.0", -1.0), ("0.0", 0.0), ("NULL", None), ("null", None), ("None", None), (None, None), ("1234.56", 1234.56), ("-1234.56", -1234.56), ("-123,456.7", None), # commas not allowed due to their ambiguity ("123,456.7", None), # commas not allowed due to their ambiguity ("-123456,7", None), # commas not allowed due to their ambiguity ("123456,7", None), # commas not allowed due to their ambiguity ("123_456.7", 123456.7), ("-123_456.7", -123456.7), (" 123456.7", 123456.7), ("123456.7 ", 123456.7), (" 123456.7 ", 123456.7), (123456.0, 123456.0), (123456, 123456.0), (-123456.0, -123456.0), (-1.0, -1.0), (0.0, 0.0), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_to_double = [ ("214748364.70", 214748364.70), ("214748364", 214748364.0), ("-214748364.70", -214748364.70), ("-1.0", -1.0), ("0.0", 0.0), ("NULL", None), ("null", None), ("None", None), (None, None), ("21474836470", 21474836470.0), ("-21474836470", -21474836470.0), ("21,474,836,470.7", None), # commas not allowed due to their ambiguity ("-21,474,836,470.7", None), # commas not allowed due to their ambiguity ("21474836470,7", None), # commas not allowed due to their ambiguity ("-21474836470,7", None), # commas not allowed due to their ambiguity ("21_474_836_470.7", 21474836470.7), ("-21_474_836_470.7", -21474836470.7), (" 21474836470.7", 21474836470.7), ("21474836470.7 ", 21474836470.7), ( " 21474836470.7 ", 21474836470.7), (214748364.70, 214748364.70), (214748364, 214748364.0), (-214748364.70, -214748364.70), (-1.0, -1.0), (0.0, 0.0), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_to_boolean = [ ("1", True), ("1.0", None), ("TRUE", True), ("True", True), ("true", True), ("0", False), ("0.0", None), ("-1", None), ("-1.0", None), ("123", None), ("-123", None), (None, None), ("FALSE", False), ("False", False), ("false", False), ("y", True), ("n", False), ("yes", True), ("no", False), ("enabled", True), ("disabled", False), ("on", True), ("off", False), (" true", True), ("true ", True), (" true ", True), (1, True), (0, False), (-1, None), (1.0, None), (0.0, None), (-1.0, None), (True, True), (False, False), ] fixtures_for_extended_string_to_timestamp_spark2 = [ ("2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+00:00", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14Z00:00", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14Z0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), (" 2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), (" 2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+02:00", datetime.datetime(2020, 8, 12, 10, 43, 14)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12 12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12", datetime.datetime(2020, 8, 12, 0, 0, 0)), (None, None), ("1597069446", datetime.datetime(2020, 8, 10, 14, 24, 6)), (1597069446, datetime.datetime(2020, 8, 10, 14, 24, 6)), ("-1597069446", datetime.datetime(1919, 5, 24, 9, 35, 54)), (-1597069446, datetime.datetime(1919, 5, 24, 9, 35, 54)), ("1597069446000", datetime.datetime(2020, 8, 10, 14, 24, 6)), ("1597069446002", datetime.datetime(2020, 8, 10, 14, 24, 6, 2000)), (1597069446000, datetime.datetime(2020, 8, 10, 14, 24, 6)), (1597069446002, datetime.datetime(2020, 8, 10, 14, 24, 6, 2000)), ("-1597069446000", datetime.datetime(1919, 5, 24, 9, 35, 54)), (-1597069446000, datetime.datetime(1919, 5, 24, 9, 35, 54)), ("null", None), ("0", datetime.datetime(1970, 1, 1, 0, 0, 0)), ("-1", datetime.datetime(1969, 12, 31, 23, 59, 59)), ("1", datetime.datetime(1970, 1, 1, 0, 0, 1)), ("nil", None), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_to_timestamp = [ ("2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+00:00", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14Z00:00", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) ("2020-08-12T12:43:14Z0000", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) (" 2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), (" 2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+02:00", datetime.datetime(2020, 8, 12, 10, 43, 14)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12 12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12", datetime.datetime(2020, 8, 12, 0, 0, 0)), (None, None), ("1597069446", datetime.datetime(2020, 8, 10, 14, 24, 6)), (1597069446, datetime.datetime(2020, 8, 10, 14, 24, 6)), ("-1597069446", datetime.datetime(1919, 5, 24, 9, 35, 54)), (-1597069446, datetime.datetime(1919, 5, 24, 9, 35, 54)), ("1597069446000", datetime.datetime(2020, 8, 10, 14, 24, 6)), ("1597069446002", datetime.datetime(2020, 8, 10, 14, 24, 6, 2000)), (1597069446000, datetime.datetime(2020, 8, 10, 14, 24, 6)), (1597069446002, datetime.datetime(2020, 8, 10, 14, 24, 6, 2000)), ("-1597069446000", datetime.datetime(1919, 5, 24, 9, 35, 54)), (-1597069446000, datetime.datetime(1919, 5, 24, 9, 35, 54)), ("null", None), ("0", datetime.datetime(1970, 1, 1, 0, 0, 0)), ("-1", datetime.datetime(1969, 12, 31, 23, 59, 59)), ("1", datetime.datetime(1970, 1, 1, 0, 0, 1)), ("nil", None), ("Hello", None), ("2k", None), ("-5355957305054330880", None), ("5355957305054330880", None), (-5355957305054330880, None), ("1.547035982469E12", None), ] fixtures_for_extended_string_unix_timestamp_ms_to_timestamp_spark2 = [ ("2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+00:00", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14Z00:00", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14Z0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), (" 2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), (" 2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+02:00", datetime.datetime(2020, 8, 12, 10, 43, 14)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12 12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12", datetime.datetime(2020, 8, 12, 0, 0, 0)), (None, None), ("1597069446000", datetime.datetime(2020, 8, 10, 14, 24, 6)), (1597069446000, datetime.datetime(2020, 8, 10, 14, 24, 6)), ("-1597069446000", datetime.datetime(1919, 5, 24, 9, 35, 54)), (-1597069446000, datetime.datetime(1919, 5, 24, 9, 35, 54)), ("null", None), ("0", datetime.datetime(1970, 1, 1, 0, 0, 0)), ("-1", datetime.datetime(1969, 12, 31, 23, 59, 59)), ("1", datetime.datetime(1970, 1, 1, 0, 0, 1)), ("nil", None), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_unix_timestamp_ms_to_timestamp = [ ("2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+00:00", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14Z00:00", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) ("2020-08-12T12:43:14Z0000", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) (" 2020-08-12T12:43:14+0000", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), (" 2020-08-12T12:43:14+0000 ", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12T12:43:14+02:00", datetime.datetime(2020, 8, 12, 10, 43, 14)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12 12:43:14", datetime.datetime(2020, 8, 12, 12, 43, 14)), ("2020-08-12", datetime.datetime(2020, 8, 12, 0, 0, 0)), (None, None), ("1597069446000", datetime.datetime(2020, 8, 10, 14, 24, 6)), (1597069446000, datetime.datetime(2020, 8, 10, 14, 24, 6)), ("-1597069446000", datetime.datetime(1919, 5, 24, 9, 35, 54)), (-1597069446000, datetime.datetime(1919, 5, 24, 9, 35, 54)), ("null", None), ("0", datetime.datetime(1970, 1, 1, 0, 0, 0)), ("-1", datetime.datetime(1969, 12, 31, 23, 59, 59)), ("1", datetime.datetime(1970, 1, 1, 0, 0, 1)), ("nil", None), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_to_date_spark2 = [ ("2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+00:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14Z00:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14Z0000", datetime.date(2020, 8, 12)), (" 2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), (" 2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+02:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12 12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12", datetime.date(2020, 8, 12)), (None, None), ("1597069446", datetime.date(2020, 8, 10)), (1597069446, datetime.date(2020, 8, 10)), ("-1597069446", datetime.date(1919, 5, 24)), (-1597069446, datetime.date(1919, 5, 24)), ("1597069446000", datetime.date(2020, 8, 10)), ("-1597069446000", datetime.date(1919, 5, 24)), ("null", None), ("0", datetime.date(1970, 1, 1,)), ("-1", datetime.date(1969, 12, 31,)), ("1", datetime.date(1970, 1, 1,)), ("nil", None), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_to_date = [ ("2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+00:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14Z00:00", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) ("2020-08-12T12:43:14Z0000", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) (" 2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), (" 2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+02:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12 12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12", datetime.date(2020, 8, 12)), (None, None), ("1597069446", datetime.date(2020, 8, 10)), (1597069446, datetime.date(2020, 8, 10)), ("-1597069446", datetime.date(1919, 5, 24)), (-1597069446, datetime.date(1919, 5, 24)), ("1597069446000", datetime.date(2020, 8, 10)), ("-1597069446000", datetime.date(1919, 5, 24)), ("null", None), ("0", datetime.date(1970, 1, 1,)), ("-1", datetime.date(1969, 12, 31,)), ("1", datetime.date(1970, 1, 1,)), ("nil", None), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_unix_timestamp_ms_to_date_spark2 = [ ("2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+00:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14Z00:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14Z0000", datetime.date(2020, 8, 12)), (" 2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), (" 2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+02:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12 12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12", datetime.date(2020, 8, 12)), (None, None), ("1597069446000", datetime.date(2020, 8, 10)), (1597069446000, datetime.date(2020, 8, 10)), ("-1597069446000", datetime.date(1919, 5, 24)), (-1597069446000, datetime.date(1919, 5, 24)), ("null", None), ("0", datetime.date(1970, 1, 1)), ("-1", datetime.date(1969, 12, 31)), ("1", datetime.date(1970, 1, 1)), ("nil", None), ("Hello", None), ("2k", None), ] fixtures_for_extended_string_unix_timestamp_ms_to_date = [ ("2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+00:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14Z00:00", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) ("2020-08-12T12:43:14Z0000", None), # No `Z` allowed by Spark3 for timezone settings (only `+HH:MM`) (" 2020-08-12T12:43:14+0000", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), (" 2020-08-12T12:43:14+0000 ", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+02:00", datetime.date(2020, 8, 12)), ("2020-08-12T12:43:14+0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14Z0200", None), # only `+HH:MM` is supported by Spark for timezone offsets ("2020-08-12T12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12 12:43:14", datetime.date(2020, 8, 12)), ("2020-08-12", datetime.date(2020, 8, 12)), (None, None), ("1597069446000", datetime.date(2020, 8, 10)), (1597069446000, datetime.date(2020, 8, 10)), ("-1597069446000", datetime.date(1919, 5, 24)), (-1597069446000, datetime.date(1919, 5, 24)), ("null", None), ("0", datetime.date(1970, 1, 1)), ("-1", datetime.date(1969, 12, 31)), ("1", datetime.date(1970, 1, 1)), ("nil", None), ("Hello", None), ("2k", None), ] # fmt:on

52.34188

117

0.471342

2,901

24,496

3.930024

0.049638

0.048241

0.08587

0.101482

0.922551

0.896939

0.860012

0.850189

0.82677

0.821507

0

0.324263

0.350384

24,496

467

118

52.453961

0.392195

0.086381

0

0.662946

0

0.186845

0.088117

0

1

0

false

0

0.006696

0

0.006696

0

null

0

1

0

1

0

1

0

null

0

8

9552d3f95d28722de741e31d77888354d045239c

295

py

Python

conv2eng/test.py

raisulalam/aganitha_spoken2written

ffab797fa70500d5412740b9bc1e96424a75ea1d

[ "MIT" ]

null

conv2eng/test.py

raisulalam/aganitha_spoken2written

ffab797fa70500d5412740b9bc1e96424a75ea1d

[ "MIT" ]

null

conv2eng/test.py

raisulalam/aganitha_spoken2written

ffab797fa70500d5412740b9bc1e96424a75ea1d

[ "MIT" ]

null

import conv2eng data = conv2eng.conve2english.check_word("Currently I have seventy dollar in my account") print(data) upd = conv2eng.conve2english.update_word_dict('Seventy','70') print(upd) data = conv2eng.conve2english.check_word("Currently I have seventy dollar in my account") print(data)

29.5

89

0.79661

42

295

5.5

0.452381

0.272727

0.21645

0.25974

0.701299

0

0.033962

0.101695

295

10

90

29.5

0.837736

0

0.571429

0

0.334459

0

1

0

false

0

0.142857

0

0.142857

0.428571

0

null

1

0

1

0

null

0

1

0

9

9569d540daa1f455f22296483f8726c6eee9cbb9

2,032

py

Python

errors/department.py

CloudCIX/membership

a7a62918c7d7c65dd1bf2068431dbf2ec2573e4b

[ "Apache-2.0" ]

null

errors/department.py

CloudCIX/membership

a7a62918c7d7c65dd1bf2068431dbf2ec2573e4b

[ "Apache-2.0" ]

null

errors/department.py

CloudCIX/membership

a7a62918c7d7c65dd1bf2068431dbf2ec2573e4b

[ "Apache-2.0" ]

null

""" Error Codes for all of the Methods in the Department Service """ # Create membership_department_create_101 = 'The "name" parameter is invalid. "name" is required and must be a string.' membership_department_create_102 = 'The "name" parameter is invalid. "name" cannot be longer than 50 characters.' membership_department_create_103 = ( 'The "name" parameter is invalid. A Department with that name already exists for your Member.' ) membership_department_create_201 = 'You do not have permission to make this request. Your Member must be self-managed.' membership_department_create_202 = 'You do not have permission to make this request. You must be an administrator.' # Read membership_department_read_001 = 'The "pk" path parameter is invalid. "pk" must belong to a valid Department record.' # Update membership_department_update_001 = 'The "pk" path parameter is invalid. "pk" must belong to a valid Department record.' membership_department_update_101 = 'The "name" parameter is invalid. "name" is required and must be a string.' membership_department_update_102 = 'The "name" parameter is invalid. "name" cannot be longer than 50 characters.' membership_department_update_103 = ( 'The "name" parameter is invalid. A Department with that name already exists for your Member.' ) membership_department_update_201 = 'You do not have permission to make this request. Your Member must be self-managed.' membership_department_update_202 = 'You do not have permission to make this request. You must be an administrator.' # Delete membership_department_delete_001 = 'The "pk" path parameter is invalid. "pk" must belong to a valid Department record.' membership_department_delete_201 = 'You do not have permission to make this request. Your Member must be self-managed.' membership_department_delete_202 = 'You do not have permission to make this request. You must be an administrator.' membership_department_delete_203 = ( 'You do not have permission to make this request. The specified Department is not empty.' )

59.764706

119

0.789862

303

2,032

5.138614

0.207921

0.205523

0.104046

0.05395

0.80668

0.781631

0

0.029954

0.145669

2,032

33

120

61.575758

0.866935

0.042815

0

0.090909

0

0.669597

0

1

0

false

0

null

1

0

1

0

1

0

null

0

8

95c48ce583e580fea057ede12f041353a4cdc486

132

py

Python

Orchestrator/Client/sample.py

miyurud/RaspaCN

b7d1826b619501d36925a1405fda12fd710b872a

[ "Apache-2.0" ]

null

Orchestrator/Client/sample.py

miyurud/RaspaCN

b7d1826b619501d36925a1405fda12fd710b872a

[ "Apache-2.0" ]

null

Orchestrator/Client/sample.py

miyurud/RaspaCN

b7d1826b619501d36925a1405fda12fd710b872a

[ "Apache-2.0" ]

2

2019-07-01T16:05:48.000Z

2019-07-01T19:20:45.000Z

print('win-------------------------------') print('win-------------------------------') print('win-------------------------------')

33

43

0.181818

6

132

4

0.333333

1

1.083333

1.333333

0

0.022727

132

3

44

0.186047

0

1

0

0.772727

0

1

0

true

0

1

0

null

1

0

1

0

1

0

1

0

1

null

0

1

0

1

0

11

c24fc99b813eb892f8bbf33c30e5d1237756920e

5,183

py

Python

nextage_cp_adapter/src/nextage_cp_adapter/kawada_robot_info.py

JKBehrens/STAAMS-Solver

b6837da69cda574d081ab3dc0b307e3ce40ad6f2

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

16

2018-12-11T13:02:58.000Z

2022-02-28T09:05:20.000Z

nextage_cp_adapter/src/nextage_cp_adapter/kawada_robot_info.py

stepakar/STAAMS-Solver

b6837da69cda574d081ab3dc0b307e3ce40ad6f2

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

2

2019-11-04T13:16:49.000Z

2022-02-28T09:17:30.000Z

nextage_cp_adapter/src/nextage_cp_adapter/kawada_robot_info.py

stepakar/STAAMS-Solver

b6837da69cda574d081ab3dc0b307e3ce40ad6f2

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

4

2019-02-12T12:41:25.000Z

2022-02-09T12:55:56.000Z

#!/usr/bin/env python """ Copyright (c) 2018 Robert Bosch GmbH All rights reserved. This source code is licensed under the BSD-3-Clause license found in the LICENSE file in the root directory of this source tree. @author: Jan Behrens """ import math import geometry_msgs import tf from roadmap_tools.robot_info import RobotInfo class RobotInfoKawada(RobotInfo): def __init__(self): pass def getStateValidity(self): from roadmap_tools import kinematics_interface return kinematics_interface.StateValidity() def getSV(self): from roadmap_tools import kinematics_interface return kinematics_interface.StateValidity() def getIK(self): from roadmap_tools import kinematics_interface return kinematics_interface.InverseKinematics() def getFK(self): from roadmap_tools import kinematics_interface return kinematics_interface.ForwardKinematics() def getRoots(self, now): return self.getStaticRobotTransforms(now) def getStaticRobotTransforms(self, now): transforms = [] # right arm gripper transform static_transformStamped = geometry_msgs.msg.TransformStamped() static_transformStamped.header.stamp = now static_transformStamped.header.frame_id = "RARM_JOINT5_Link" static_transformStamped.child_frame_id = "RARM_Gripper" static_transformStamped.transform.translation.x = -0.2 static_transformStamped.transform.translation.y = -0.00 static_transformStamped.transform.translation.z = -0.01 quat = tf.transformations.quaternion_from_euler(0.0, math.pi / 2, 0.0) static_transformStamped.transform.rotation.x = quat[0] static_transformStamped.transform.rotation.y = quat[1] static_transformStamped.transform.rotation.z = quat[2] static_transformStamped.transform.rotation.w = quat[3] transforms.append(static_transformStamped) # left arm gripper transform static_transformStamped = geometry_msgs.msg.TransformStamped() static_transformStamped.header.stamp = now static_transformStamped.header.frame_id = "LARM_JOINT5_Link" static_transformStamped.child_frame_id = "LARM_Gripper" static_transformStamped.transform.translation.x = -0.2 static_transformStamped.transform.translation.y = 0.00 static_transformStamped.transform.translation.z = -0.01 quat = tf.transformations.quaternion_from_euler(0.0, math.pi / 2, 0.0) static_transformStamped.transform.rotation.x = quat[0] static_transformStamped.transform.rotation.y = quat[1] static_transformStamped.transform.rotation.z = quat[2] static_transformStamped.transform.rotation.w = quat[3] transforms.append(static_transformStamped) return transforms def get_eef2tip_transform(self, group, now): if group == "right_arm": static_transformStamped = geometry_msgs.msg.TransformStamped() static_transformStamped.header.stamp = now static_transformStamped.header.frame_id = "RARM_JOINT5_Link" static_transformStamped.child_frame_id = "RARM_Gripper" static_transformStamped.transform.translation.x = -0.2 static_transformStamped.transform.translation.y = -0.00 static_transformStamped.transform.translation.z = -0.01 quat = tf.transformations.quaternion_from_euler(0.0, math.pi/2, 0.0) static_transformStamped.transform.rotation.x = quat[0] static_transformStamped.transform.rotation.y = quat[1] static_transformStamped.transform.rotation.z = quat[2] static_transformStamped.transform.rotation.w = quat[3] return static_transformStamped if group == "left_arm": static_transformStamped = geometry_msgs.msg.TransformStamped() static_transformStamped.header.stamp = now static_transformStamped.header.frame_id = "LARM_JOINT5_Link" static_transformStamped.child_frame_id = "LARM_Gripper" static_transformStamped.transform.translation.x = -0.2 static_transformStamped.transform.translation.y = 0.00 static_transformStamped.transform.translation.z = -0.01 quat = tf.transformations.quaternion_from_euler(0.0, math.pi / 2, 0.0) static_transformStamped.transform.rotation.x = quat[0] static_transformStamped.transform.rotation.y = quat[1] static_transformStamped.transform.rotation.z = quat[2] static_transformStamped.transform.rotation.w = quat[3] return static_transformStamped def getBaseFrame(self): return "WAIST" def getGroups(self): return ["right_arm", "left_arm"] def getEndEffector(self, group): group2ee = {"right_arm": "RARM_JOINT5_Link", "left_arm": "LARM_JOINT5_Link"} return group2ee[group] def getCompleteGroup(self): return "upperbody" def getGroupForOVCType(self, ovc_type): task2group = {"pick": ["right_arm", "left_arm"]} return task2group[ovc_type]

37.557971

84

0.704032

568

5,183

6.214789

0.202465

0.29915

0.245892

0.176771

0.762606

0

0.020624

0.214162

5,183

138

85

37.557971

0.846059

0.054987

0

0.637363

0

0.047044

0

1

0.142857

false

0.010989

0.087912

0.043956

0.384615

0

null

1

0

1

0

null

0

8

c2e3faf79e3663dd09115ead9e8da64a746ce62c

26,292

py

Python

gems/scratch.py

0xOddrey/DroppingGemsNFT

536c0c3f0f53ac9437d88625709609037306848e

[ "MIT" ]

null

gems/scratch.py

0xOddrey/DroppingGemsNFT

536c0c3f0f53ac9437d88625709609037306848e

[ "MIT" ]

null

gems/scratch.py

0xOddrey/DroppingGemsNFT

536c0c3f0f53ac9437d88625709609037306848e

[ "MIT" ]

null

26,292

0.694926

5,152

26,292

3.519022

0.097632

0.041368

0.033756

0.026475

0.725924

0.644236

0.571263

0.525703

0.468726

0.446056

0

0.245304

0.054351

26,292

1

26,292

0.483892

0

11

0.497324

0.092177

0

null

0

null

0

null

0

1

0

1

0

1

0

null

0

1

0

7

c2e4c350d68d6cd581850efa8a9d6d9bde251d53

36

py

Python

pyrolib/helpers.py

johnosullivan/UniversalBotLibrary

4ae46547e6dd0441e5da861ab1568923cbc8980e

[ "MIT" ]

null

pyrolib/helpers.py

johnosullivan/UniversalBotLibrary

4ae46547e6dd0441e5da861ab1568923cbc8980e

[ "MIT" ]

null

pyrolib/helpers.py

johnosullivan/UniversalBotLibrary

4ae46547e6dd0441e5da861ab1568923cbc8980e

[ "MIT" ]

null

def valid_system(): return True

12

19

0.694444

5

36

4.8

1

0

0.222222

36

2

20

18

0.857143

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

c2f24253dfcfed7d531e33cfac04b7430efed149

3,035

py

Python

image_fingerprint_by_fourhash.py

DorianLiu0413TW/Copyright-Hub

787229f0005dee3a8d5f1608f245c271821c8ddf

[ "MIT" ]

1

2021-09-21T02:29:51.000Z

image_fingerprint_by_fourhash.py

DorianLiu0413TW/Copyright-Hub

787229f0005dee3a8d5f1608f245c271821c8ddf

[ "MIT" ]

null

image_fingerprint_by_fourhash.py

DorianLiu0413TW/Copyright-Hub

787229f0005dee3a8d5f1608f245c271821c8ddf

[ "MIT" ]

null

from mysql.connector import MySQLConnection, Error from mysql_dbconfig import read_db_config from mysql_insert_image_hash import insert_image_hash from PIL import Image import imagehash import os from datetime import datetime timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') # open_file_path = '/home/user/Desktop/moc/dataset/Media files/2圖片' open_file_path = 'uploads' # if __name__ == '__main__': def image_fingerprint(filename): db_config = read_db_config() conn = MySQLConnection(**db_config) cursor = conn.cursor() hash = [] hash.clear() #for filename in os.listdir(open_file_path): if filename.endswith('.jpg') or filename.endswith('.png') or filename.endswith('.bmp'): #print(filename) new_filename = filename[:-4] #print(new_filename) #f = open(hash_file_path+'/'+new_filename+"hash.txt", "a") a_hash = str(imagehash.average_hash(Image.open(open_file_path+'/'+filename))) #f.write(str(a_hash)+'\n') d_hash = str(imagehash.dhash(Image.open(open_file_path+'/'+filename))) #f.write(str(d_hash)+'\n') p_hash = str(imagehash.phash(Image.open(open_file_path+'/'+filename))) #f.write(str(p_hash)+'\n') w_hash = str(imagehash.whash(Image.open(open_file_path+'/'+filename))) #f.write(str(w_hash)+'\n') #f.close() #insert_image_hash(cursor.lastrowid, timestamp, filename, a_hash, d_hash, p_hash, w_hash) hash.append(a_hash) hash.append(d_hash) hash.append(p_hash) hash.append(w_hash) # print(a_hash) # print(d_hash) # print(p_hash) # print(w_hash) cursor.close() conn.close() return hash def image_to_db(filename): db_config = read_db_config() conn = MySQLConnection(**db_config) cursor = conn.cursor() hash = [] hash.clear() #for filename in os.listdir(open_file_path): if filename.endswith('.jpg') or filename.endswith('.png') or filename.endswith('.bmp'): #print(filename) new_filename = filename[:-4] #print(new_filename) #f = open(hash_file_path+'/'+new_filename+"hash.txt", "a") a_hash = str(imagehash.average_hash(Image.open(open_file_path+'/'+filename))) #f.write(str(a_hash)+'\n') d_hash = str(imagehash.dhash(Image.open(open_file_path+'/'+filename))) #f.write(str(d_hash)+'\n') p_hash = str(imagehash.phash(Image.open(open_file_path+'/'+filename))) #f.write(str(p_hash)+'\n') w_hash = str(imagehash.whash(Image.open(open_file_path+'/'+filename))) #f.write(str(w_hash)+'\n') #f.close() results = insert_image_hash(cursor.lastrowid, timestamp, filename, a_hash, d_hash, p_hash, w_hash) hash.append(a_hash) hash.append(d_hash) hash.append(p_hash) hash.append(w_hash) # print(a_hash) # print(d_hash) # print(p_hash) # print(w_hash) cursor.close() conn.close() return results

32.287234

106

0.635914

420

3,035

4.340476

0.178571

0.061437

0.078991

0.074602

0.806363

0

0.001253

0.210873

3,035

93

107

32.634409

0.759916

0.256343

0

0.708333

0

0.025146

0

1

0.041667

false

0

0.145833

0

0.229167

0.020833

0

null

0

1

0

1

0

null

0

7

6c48520df0f362ea88c98ac869530b6e8999a4c7

50,377

py

Python

tests/e2e/basic/performance_tests/multi_station_throughput/wpa2_personal/vlan_mode/test_mutli_sta_thpt_5g.py

dutta-rohan/wlan-testing

77264245b62e21dff5f38c7eae74c22e0cdeefbb

[ "BSD-3-Clause" ]

7

2020-08-19T16:45:46.000Z

2022-02-10T09:55:22.000Z

tests/e2e/basic/performance_tests/multi_station_throughput/wpa2_personal/vlan_mode/test_mutli_sta_thpt_5g.py

dutta-rohan/wlan-testing

77264245b62e21dff5f38c7eae74c22e0cdeefbb

[ "BSD-3-Clause" ]

47

2020-12-20T16:06:03.000Z

2022-03-23T03:01:22.000Z

tests/e2e/basic/performance_tests/multi_station_throughput/wpa2_personal/vlan_mode/test_mutli_sta_thpt_5g.py

dutta-rohan/wlan-testing

77264245b62e21dff5f38c7eae74c22e0cdeefbb

[ "BSD-3-Clause" ]

9

2021-02-04T22:32:06.000Z

2021-12-14T17:45:51.000Z

""" Multi Station throughput vs Packet Size test: VLAN Mode pytest -m "multi_sta_thpt and wpa2_personal and vlan and fiveg" """ import os import allure import pytest pytestmark = [pytest.mark.performance, pytest.mark.multi_sta_thpt, pytest.mark.wpa2_personal, pytest.mark.vlan, pytest.mark.fiveg] setup_params_general = { "mode": "VLAN", "ssid_modes": { "wpa2_personal": [ {"ssid_name": "ssid_wpa2_5g", "appliedRadios": ["5G"], "security_key": "something", "vlan": 100}]}, "rf": {}, "radius": False } @allure.suite("performance") @allure.feature("VLAN Mode WPA2 PERSONAL Multi Station Throughput") @pytest.mark.parametrize( 'setup_profiles', [setup_params_general], indirect=True, scope="class" ) @pytest.mark.usefixtures("setup_profiles") class TestMultiStaThptvlan(object): @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_dl_5g_1", url="https://telecominfraproject.atlassian.net/browse/WIFI-3632") def test_mstathpt_wpa2p_vlan_udp_dl_5g_1(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:1'], ['tput_multi_udp:1'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_1", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_dl_5g_2", url="https://telecominfraproject.atlassian.net/browse/WIFI-3634") def test_mstathpt_wpa2p_vlan_tcp_dl_5g_2(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:1'], ['tput_multi_udp:0'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_ul_5g_3", url="https://telecominfraproject.atlassian.net/browse/WIFI-3636") def test_mstathpt_wpa2p_vlan_udp_ul_5g_3(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:0'], ['tput_multi_udp:1'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_ul_5g_4", url="https://telecominfraproject.atlassian.net/browse/WIFI-3638") def test_mstathpt_wpa2p_vlan_tcp_ul_5g_4(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:0'], ['tput_multi_udp:0'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_4", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.multi_sta_perf_throughput @pytest.mark.tcp_udp_ul_dl @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_dl_5g_5", url="https://telecominfraproject.atlassian.net/browse/WIFI-3640") def test_mstathpt_wpa2p_vlan_udp_dl_5g_5(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:MAX'], ['tput_multi_tcp:0'], ['tput_multi_dl:1'], ['tput_multi_udp:1'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_5", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.multi_sta_perf_throughput @pytest.mark.tcp_udp_ul_dl @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_dl_5g_6", url="https://telecominfraproject.atlassian.net/browse/WIFI-3642") def test_mstathpt_wpa2p_vlan_tcp_dl_5g_6(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:MAX'], ['tput_multi_tcp:1'], ['tput_multi_dl:1'], ['tput_multi_udp:0'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_6", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.multi_sta_perf_throughput @pytest.mark.tcp_udp_ul_dl @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_ul_5g_7", url="https://telecominfraproject.atlassian.net/browse/WIFI-3644") def test_mstathpt_wpa2p_vlan_udp_ul_5g_7(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:MAX'], ['tput_multi_tcp:0'], ['tput_multi_dl:0'], ['tput_multi_udp:1'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_7", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.multi_sta_perf_throughput @pytest.mark.tcp_udp_ul_dl @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_ul_5g_8", url="https://telecominfraproject.atlassian.net/browse/WIFI-3646") def test_mstathpt_wpa2p_vlan_tcp_ul_5g_8(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512,1024,MTU'], ['capacities:MAX'], ['tput_multi_tcp:1'], ['tput_multi_dl:0'], ['tput_multi_udp:0'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_8", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal # @pytest.mark.twog @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_dl_5g_9", url="https://telecominfraproject.atlassian.net/browse/WIFI-3782") def test_mstathpt_wpa2p_vlan_udp_dl_5g_9(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200,512'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:1'], ['tput_multi_udp:1'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_9", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_dl_5g_10", url="https://telecominfraproject.atlassian.net/browse/WIFI-3784") def test_mstathpt_wpa2p_vlan_tcp_dl_5g_10(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:1'], ['tput_multi_udp:0'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_10", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_ul_5g_11", url="https://telecominfraproject.atlassian.net/browse/WIFI-3787") def test_mstathpt_wpa2p_vlan_udp_ul_5g_11(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:0'], ['tput_multi_udp:1'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_11", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_ul_5g_12", url="https://telecominfraproject.atlassian.net/browse/WIFI-3789") def test_mstathpt_wpa2p_vlan_tcp_ul_5g_12(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:200'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:0'], ['tput_multi_udp:0'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_12", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_dl_5g_13", url="https://telecominfraproject.atlassian.net/browse/WIFI-3792") def test_mstathpt_wpa2p_vlan_udp_dl_5g_13(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:512'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:1'], ['tput_multi_udp:1'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_13", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_dl_5g_14", url="https://telecominfraproject.atlassian.net/browse/WIFI-3794") def test_mstathpt_wpa2p_vlan_tcp_dl_5g_14(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:512'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:1'], ['tput_multi_udp:0'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_14", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_ul_5g_15", url="https://telecominfraproject.atlassian.net/browse/WIFI-3799") def test_mstathpt_wpa2p_vlan_udp_ul_5g_15(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:512'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:0'], ['tput_multi_udp:1'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_15", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_ul_5g_16", url="https://telecominfraproject.atlassian.net/browse/WIFI-3801") def test_mstathpt_wpa2p_vlan_tcp_ul_5g_16(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:512'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:0'], ['tput_multi_udp:0'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_16", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_dl_5g_17", url="https://telecominfraproject.atlassian.net/browse/WIFI-3803") def test_mstathpt_wpa2p_vlan_udp_ul_5g_17(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:1024'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:1'], ['tput_multi_udp:1'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_17", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_dl_5g_18", url="https://telecominfraproject.atlassian.net/browse/WIFI-3805") def test_mstathpt_wpa2p_vlan_tcp_dl_5g_18(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:1024'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:1'], ['tput_multi_udp:0'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_18", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_ul_5g_19", url="https://telecominfraproject.atlassian.net/browse/WIFI-3807") def test_mstathpt_wpa2p_vlan_udp_ul_5g_19(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:1024'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:0'], ['tput_multi_udp:1'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_19", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_ul_5g_20", url="https://telecominfraproject.atlassian.net/browse/WIFI-3811") def test_mstathpt_wpa2p_vlan_tcp_ul_5g_20(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:1024'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:0'], ['tput_multi_udp:0'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_20", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_dl_5g_21", url="https://telecominfraproject.atlassian.net/browse/WIFI-3813") def test_mstathpt_wpa2p_vlan_udp_dl_5g_21(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:1'], ['tput_multi_udp:1'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_21", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_dl_5g_22", url="https://telecominfraproject.atlassian.net/browse/WIFI-3816") def test_mstathpt_wpa2p_vlan_tcp_dl_5g_22(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:1'], ['tput_multi_udp:0'], ['tput_multi_ul:0']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_22", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_udp_ul_5g_23", url="https://telecominfraproject.atlassian.net/browse/WIFI-3818") def test_mstathpt_wpa2p_vlan_udp_ul_5g_23(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:0'], ['tput_multi_dl:0'], ['tput_multi_udp:1'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_23", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True @pytest.mark.wpa2_personal @pytest.mark.fiveg @allure.testcase(name="test_mstathpt_wpa2p_vlan_tcp_ul_5g_24", url="https://telecominfraproject.atlassian.net/browse/WIFI-3820") def test_mstathpt_wpa2p_vlan_tcp_ul_5g_24(self, get_vif_state, lf_tools, create_lanforge_chamberview_dut, lf_test, get_configuration): """ pytest -m "multi_sta_thpt and vlan and wpa2_personal and fiveg" """ profile_data = setup_params_general["ssid_modes"]["wpa2_personal"] ssid_5G = profile_data[0]["ssid_name"] dut_name = create_lanforge_chamberview_dut mode = "VLAN" vlan = 100 print(lf_tools.dut_idx_mapping) dut_5g = "" dut_2g = "" for i in lf_tools.dut_idx_mapping: if lf_tools.dut_idx_mapping[i][3] == "5G": dut_5g = dut_name + ' ' + lf_tools.dut_idx_mapping[i][0] + ' ' + lf_tools.dut_idx_mapping[i][4] print(dut_5g) if ssid_5G not in get_vif_state: allure.attach(name="retest,vif state ssid not available:", body=str(get_vif_state)) pytest.xfail("SSID NOT AVAILABLE IN VIF STATE") raw_lines = [['skip_2:1'], ['skip_dual:1'], ['hunt_retries:1'], ['hunt_iter:20'], ['pkt_loss_thresh:500000'], ['frame_sizes:MTU'], ['capacities:1,2,5'], ['tput_multi_tcp:1'], ['tput_multi_dl:0'], ['tput_multi_udp:0'], ['tput_multi_ul:1']] msthpt_obj = lf_test.multi_sta_thpt(mode=mode, ssid_2G="", ssid_5G=ssid_5G, instance_name="multistathpt_instance_wpa2p_5g_vlan_24", raw_line=raw_lines, vlan_id=vlan, dut_5g=dut_5g, dut_2g="") report_name = msthpt_obj.report_name[0]['LAST']["response"].split(":::")[1].split("/")[-1] lf_tools.attach_report_graphs(report_name=report_name, pdf_name="Multi Station Throughput vs Packet Size Test") assert True

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0.978688

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0.932376

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50,377

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null

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1

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0

null

0

7

6c4e1b0fd99c0db7cf8fc8d0f0907b2469abfb67

90

py

Python

src/dandd/crits.py

Peilonrayz/warhammer

76610bf3c64418f914efb9ff3336daacdd6c5c4c

[ "MIT" ]

null

src/dandd/crits.py

Peilonrayz/warhammer

76610bf3c64418f914efb9ff3336daacdd6c5c4c

[ "MIT" ]

null

src/dandd/crits.py

Peilonrayz/warhammer

76610bf3c64418f914efb9ff3336daacdd6c5c4c

[ "MIT" ]

null

from dice_stats import Dice def crits(): return Dice.max(*2 * [Dice.from_dice(20)])

15

46

0.677778

15

90

3.933333

0.666667

0.271186

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47

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null

0

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1

0

8

6659ab0273a4978992acbef6812926ca084d93e5

70

py

Python

glue2protojson/__init__.py

ricardoedo/glue2protojson

b59ca41ea9eed2a9818fa7bfa8521f92c8657174

[ "MIT" ]

null

glue2protojson/__init__.py

ricardoedo/glue2protojson

b59ca41ea9eed2a9818fa7bfa8521f92c8657174

[ "MIT" ]

null

glue2protojson/__init__.py

ricardoedo/glue2protojson

b59ca41ea9eed2a9818fa7bfa8521f92c8657174

[ "MIT" ]

null

from glue2protojson import utils from glue2protojson import gluetypes

23.333333

36

0.885714

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0.580645

0.774194

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0.032258

0.114286

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dd316bfa916c6a5c3f7c5afe4a5fb18cdd3bcb99

6,403

py

Python

tests/test_PyFat.py

dseeley/pyfatfs

49051a1308fe48da271eb50ed6e47b339e401721

[ "MIT" ]

5

2019-07-19T10:57:00.000Z

2020-11-10T03:17:41.000Z

tests/test_PyFat.py

dseeley/pyfatfs

49051a1308fe48da271eb50ed6e47b339e401721

[ "MIT" ]

3

2020-04-15T22:06:10.000Z

2020-12-16T18:46:18.000Z

tests/test_PyFat.py

dseeley/pyfatfs

49051a1308fe48da271eb50ed6e47b339e401721

[ "MIT" ]

5

2019-10-13T20:39:42.000Z

2020-12-15T17:52:37.000Z

# -*- coding: utf-8 -*- """Test PyFat core functionality.""" from unittest import mock from pyfatfs.PyFat import PyFat def test_is_dirty_fat12_not_dirty(): """Test that is_dirty is affected by nt_dirty.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT12 pf.fat = [0xFF8, 0xFFF] pf.fat_header = {"BS_Reserved1": 0x0} assert not pf._is_dirty() def test_is_dirty_fat12_dirty_nt(): """Test that is_dirty is only affected by nt_dirty.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT12 pf.fat = [0xFF8, 0x000] pf.fat_header = {"BS_Reserved1": 0x1} assert pf._is_dirty() def test_is_dirty_fat16_not_dirty(): """Test that is_dirty detects that a volume has been cleanly shut down.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT16 pf.fat = [0xFFF8, 0xFFFF] pf.fat_header = {"BS_Reserved1": 0x0} assert not pf._is_dirty() def test_is_dirty_fat16_dirty_dos(): """Test that is_dirty detects dirty bit set by DOS.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT16 pf.fat = [0xFFF8, 0x7FFF] pf.fat_header = {"BS_Reserved1": 0x0} assert pf._is_dirty() def test_is_dirty_fat16_dirty_dos2(): """Test that is_dirty detects dirty bit set by DOS.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT16 pf.fat = [0xFFF8, 0x7ABC] pf.fat_header = {"BS_Reserved1": 0x0} assert pf._is_dirty() def test_is_dirty_fat16_dirty_dos3(): """Test that is_dirty detects dirty bit set by DOS.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT16 pf.fat = [0xFFF8, 0x0ABC] pf.fat_header = {"BS_Reserved1": 0x0} assert pf._is_dirty() def test_is_dirty_fat16_dirty_nt(): """Test that is_dirty detects dirty bit set by NT.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT12 pf.fat = [0xFFF8, 0xFFFF] pf.fat_header = {"BS_Reserved1": 0x1} assert pf._is_dirty() def test_is_dirty_fat16_dirty_both(): """Test that is_dirty detects dirty bit set by both DOS and NT.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT16 pf.fat = [0xFFF8, 0x7FFF] pf.fat_header = {"BS_Reserved1": 0x1} assert pf._is_dirty() def test_is_dirty_fat32_not_dirty(): """Test that is_dirty detects that a volume has been cleanly shut down.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT32 pf.fat = [0xFFFFFF8, 0xFFFFFFF] pf.fat_header = {"BS_Reserved1": 0x0} assert not pf._is_dirty() def test_is_dirty_fat32_dirty_dos(): """Test that is_dirty detects dirty bit set by DOS.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT32 pf.fat = [0xFFFFFF8, 0x7FFFFFF] pf.fat_header = {"BS_Reserved1": 0x0} assert pf._is_dirty() def test_is_dirty_fat32_dirty_nt(): """Test that is_dirty detects dirty bit set by NT.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT32 pf.fat = [0xFFFFFF8, 0xFFFFFFF] pf.fat_header = {"BS_Reserved1": 0x1} assert pf._is_dirty() def test_is_dirty_fat32_dirty_both(): """Test that is_dirty detects dirty bit set by both DOS and NT.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT32 pf.fat = [0xFFFFFF8, 0xF7FFFFF] pf.fat_header = {"BS_Reserved1": 0x1} assert pf._is_dirty() def test_mark_dirty_fat12(): """Test that _mark_dirty is able to mark partition as dirty.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT12 fat_orig = [0xFF8, 0xFFF] pf.fat = list(fat_orig) pf.fat_header = {"BS_Reserved1": 0x0} with mock.patch('pyfatfs.PyFat.PyFat.flush_fat') as ff: with mock.patch('pyfatfs.PyFat.PyFat._write_fat_header'): pf._mark_dirty() assert pf.fat == fat_orig assert pf.fat_header["BS_Reserved1"] == 0x1 assert ff.call_count == 0 def test_mark_dirty_fat16(): """Test that _mark_dirty is able to mark partition as dirty.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT16 fat_orig = [0xFFF8, 0xFFFF] pf.fat = list(fat_orig) pf.fat_header = {"BS_Reserved1": 0x0} with mock.patch('pyfatfs.PyFat.PyFat.flush_fat') as ff: with mock.patch('pyfatfs.PyFat.PyFat._write_fat_header'): pf._mark_dirty() assert pf.fat[1] == 0x7FFF assert pf.fat_header["BS_Reserved1"] == 0x1 assert ff.call_count == 1 def test_mark_dirty_fat32(): """Test that _mark_dirty is able to mark partition as dirty.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT32 fat_orig = [0xFFFFFF8, 0xFFFFFFF] pf.fat = list(fat_orig) pf.fat_header = {"BS_Reserved1": 0x0} with mock.patch('pyfatfs.PyFat.PyFat.flush_fat') as ff: with mock.patch('pyfatfs.PyFat.PyFat._write_fat_header'): pf._mark_dirty() assert pf.fat[1] == 0x7FFFFFF assert pf.fat_header["BS_Reserved1"] == 0x1 assert ff.call_count == 1 def test_mark_clean_fat12(): """Test that _mark_clean is able to mark partition as clean.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT12 fat_orig = [0xFF8, 0xFFF] pf.fat = list(fat_orig) pf.fat_header = {"BS_Reserved1": 0x1} with mock.patch('pyfatfs.PyFat.PyFat.flush_fat') as ff: with mock.patch('pyfatfs.PyFat.PyFat._write_fat_header'): pf._mark_clean() assert pf.fat == fat_orig assert pf.fat_header["BS_Reserved1"] == 0x0 assert ff.call_count == 0 def test_mark_clean_fat16(): """Test that _mark_clean is able to mark partition as clean.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT16 pf.fat = [0xFFF8, 0x0ABC] pf.fat_header = {"BS_Reserved1": 0x1} with mock.patch('pyfatfs.PyFat.PyFat.flush_fat') as ff: with mock.patch('pyfatfs.PyFat.PyFat._write_fat_header'): pf._mark_clean() assert pf.fat[1] == 0x8ABC assert pf.fat_header["BS_Reserved1"] == 0x0 assert ff.call_count == 1 def test_mark_clean_fat32(): """Test that _mark_clean is able to mark partition as clean.""" pf = PyFat() pf.fat_type = pf.FAT_TYPE_FAT32 pf.fat = [0xFFFFFF8, 0x5ADBEEF] pf.fat_header = {"BS_Reserved1": 0x1} with mock.patch('pyfatfs.PyFat.PyFat.flush_fat') as ff: with mock.patch('pyfatfs.PyFat.PyFat._write_fat_header'): pf._mark_clean() assert pf.fat[1] == 0xDADBEEF assert pf.fat_header["BS_Reserved1"] == 0x0 assert ff.call_count == 1

31.541872

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null

0

1

0

1

0

null

0

7

dd8beea5cae02c0e08d7147f9fdad32cc63de97c

866

py

Python

project_name/example_module.py

James-Montgomery/python_project_template

2a58d9f5f9fc4256ab724c21d1f129f89ff86a4a

[ "MIT" ]

null

project_name/example_module.py

James-Montgomery/python_project_template

2a58d9f5f9fc4256ab724c21d1f129f89ff86a4a

[ "MIT" ]

null

project_name/example_module.py

James-Montgomery/python_project_template

2a58d9f5f9fc4256ab724c21d1f129f89ff86a4a

[ "MIT" ]

null

""" example_module: This module is for stuff. """ def example_function(example_input:int=2) -> int: """ example_function A short description ... Parameters ---------- example_input: int a description of somthing Notes ----- Some kind of notes Returns ------- int a description of somthing Example ------- >>> output = example_function(2) """ return example_input * 4 def example_function_2(example_input:int=2) -> int: """ example_function A short description ... Parameters ---------- example_input: int a description of somthing Notes ----- Some kind of notes Returns ------- int a description of somthing Example ------- >>> output = example_function(2) """ return example_input * 4

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0.145923

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866

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null

0

1

0

1

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8

06b687fa02f8fa0d6fef4283db6e6c33deabc149

1,825

py

Python

colors.py

LBeghini/Chat.py

c97bb3c24b1bf775f5b297b753813542e7bccdd7

[ "MIT" ]

null

colors.py

LBeghini/Chat.py

c97bb3c24b1bf775f5b297b753813542e7bccdd7

[ "MIT" ]

1

2020-12-30T22:50:17.000Z

colors.py

LBeghini/Chat.py

c97bb3c24b1bf775f5b297b753813542e7bccdd7

[ "MIT" ]

2

2020-12-02T09:22:57.000Z

2021-09-29T13:52:49.000Z

import random COLOR = { "PURPLE": '\033[95m', "CYAN": '\033[96m', "DARKCYAN": '\033[36m', "BLUE": '\033[94m', "GREEN": '\033[92m', "YELLOW": '\033[93m', "RED": '\033[91m', "BOLD": '\033[1m', "UNDERLINE": '\033[4m', "END": '\033[0m' } RAND_COLOR = { "PURPLE": '\033[95m', "CYAN": '\033[96m', "DARKCYAN": '\033[36m', "BLUE": '\033[94m', "YELLOW": '\033[93m', "RED": '\033[91m' } def print_color(string, color=None): if color == "green": print(f'{COLOR["GREEN"]}{string}{COLOR["END"]}') elif color == "cyan": print(f'{COLOR["CYAN"]}{string}{COLOR["END"]}') elif color == "red": print(f'{COLOR["RED"]}{string}{COLOR["END"]}') elif color == "yellow": print(f'{COLOR["YELLOW"]}{string}{COLOR["END"]}') elif color == "blue": print(f'{COLOR["BLUE"]}{string}{COLOR["END"]}') elif color == "purple": print(f'{COLOR["PURPLE"]}{string}{COLOR["END"]}') elif color == "random": print(f'{RAND_COLOR[random.choice(list(RAND_COLOR.keys()))]}{string}{COLOR["END"]}') else: print(string) def format_string(string, color=None): if color == "green": return f'{COLOR["GREEN"]}{string}{COLOR["END"]}' elif color == "cyan": return f'{COLOR["CYAN"]}{string}{COLOR["END"]}' elif color == "red": return f'{COLOR["RED"]}{string}{COLOR["END"]}' elif color == "yellow": return f'{COLOR["YELLOW"]}{string}{COLOR["END"]}' elif color == "blue": return f'{COLOR["BLUE"]}{string}{COLOR["END"]}' elif color == "purple": return f'{COLOR["PURPLE"]}{string}{COLOR["END"]}' elif color == "random": return f'{RAND_COLOR[random.choice(list(RAND_COLOR.keys()))]}{string}{COLOR["END"]}' else: return string

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1,825

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false

0

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0

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0.163636

0

null

0

1

0

null

0

7

06e360ee9a8c06f1068fd616fde87777ba019808

12,585

py

Python

src/slam_primitives.py

michal-hradis/torchSLAM

23a23f27f66f4c8a7aa11283c87f1aaba0bb1475

[ "BSD-3-Clause" ]

null

src/slam_primitives.py

michal-hradis/torchSLAM

23a23f27f66f4c8a7aa11283c87f1aaba0bb1475

[ "BSD-3-Clause" ]

null

src/slam_primitives.py

michal-hradis/torchSLAM

23a23f27f66f4c8a7aa11283c87f1aaba0bb1475

[ "BSD-3-Clause" ]

null

import logging logging.basicConfig(level=logging.INFO) import torch from collections import defaultdict from pytorch3d import transforms class CameraMotionSpeedConstraint: def __init__(self, device, camera): self.device = device self.camera = camera self.distances = torch.zeros([camera.c_pos.shape[0]], dtype=torch.float32, device=device) self.weights = torch.zeros([camera.c_pos.shape[0]], dtype=torch.float32, device=device) self.last_cost = None def add_camera(self, cam_id, distance, weight=1): self.distances[cam_id] = distance self.weights[cam_id] = weight def loss(self): c_pos = self.camera.c_pos[:self.camera.c_count] distances = self.distances[1:self.camera.c_count] weights = self.weights[1:self.camera.c_count] cost = (torch.sum((c_pos[1:] - c_pos[:-1]) ** 2, axis=1) ** 0.5 - distances) ** 2 self.last_cost = cost * weights return torch.sum(self.last_cost) class CameraPositionConstraint: def __init__(self, device, camera): self.device = device self.camera = camera self.positions = torch.zeros(camera.c_pos.shape, dtype=torch.float32, device=device) self.weights = torch.zeros([camera.c_pos.shape[0]], dtype=torch.float32, device=device) self.last_cost = None def add_camera(self, cam_id, position, weight=1): self.positions[cam_id] = position self.weights[cam_id] = weight def loss(self): c_pos = self.camera.c_pos[:self.camera.c_count] positions = self.positions[:self.camera.c_count] weights = self.weights[:self.camera.c_count] cost = torch.sum((c_pos - positions) ** 2, axis=1) self.last_cost = cost * weights return torch.sum(self.last_cost) def all_positions(self): return self.positions[:self.camera.c_count] class CalibratedCamera: def __init__(self, device, error_power=0.5, c_max=10000, v_max=1000000): self.use_dot_product = False self.rot_scale = 0.05 self.error_power = error_power self.c_max = c_max self.p_max = v_max self.device = device self.c_count = 0 self.p_count = 0 self.c_pos = torch.zeros([self.c_max, 3], dtype=torch.float, device=self.device) self.c_rot = torch.zeros([self.c_max, 3], dtype=torch.float, device=self.device) self.views = torch.zeros([self.p_max, 3], dtype=torch.float, device=self.device) self.views_p_id = torch.zeros([self.p_max], dtype=torch.long, device=self.device) self.views_c_id = torch.zeros([self.p_max], dtype=torch.long, device=self.device) self.c_points = defaultdict(set) self.opt_c_id = None self.opt_p_id = None self.opt_views = None self.opt_sleeping_cams = None def add_camera(self, position, rotation, views_p_id, views): ''' :param position: [1, 3] - initial camera position vector :param rotation: [1, 3] - initial camera rotation vector as euler angles 'XYZ' :param views_p_id: [n] - array of point ids for points viewed from the camera :param views: [n, 3] - point view directions as unit vectors for each point viewed from the camere in the camera coordinate frame :return: int - new camera id ''' cam_id = self.c_count self.c_count += 1 with torch.no_grad(): self.c_pos[cam_id] = position self.c_rot[cam_id] = rotation self.views_c_id[self.p_count:self.p_count + views_p_id.shape[0]] = cam_id self.views_p_id[self.p_count:self.p_count + views_p_id.shape[0]] = views_p_id self.views[self.p_count:self.p_count + views_p_id.shape[0]] = views self.p_count += views_p_id.shape[0] return cam_id def prepare_optimization(self, c_id_request: torch.Tensor, p_id_request: torch.Tensor, p_id_rejected: torch.Tensor): ''' :param c_id_request: [n] long tensor of optimized camera ids :param p_id_request: [n] long tensor of optimized point ids (it is used to :param p_id_rejected: [n] long tensor of points which should not be used :return: N/A ''' with torch.no_grad(): if c_id_request is None and p_id_request is None: raise NotImplementedError('At least one of c_id_request and p_id_request has to be specified') cp_mask = None if c_id_request is not None: cp_mask = torch.isin(self.views_c_id[:self.p_count], c_id_request) if p_id_request is not None: p_mask = torch.isin(self.views_p_id[:self.p_count], p_id_request) if cp_mask is None: cp_mask = p_mask else: cp_mask = torch.logical_or(cp_mask, p_mask) if p_id_rejected is not None: r_mask = torch.isin(self.views_p_id[:self.p_count], p_id_rejected, invert=True) cp_mask = torch.logical_and(cp_mask, r_mask) self.opt_c_static = torch.isin( torch.arange(0, self.c_max, dtype=torch.long, device=self.device), c_id_request, invert=True) self.opt_c_id = self.views_c_id[:self.p_count][cp_mask] self.opt_p_id = self.views_p_id[:self.p_count][cp_mask] self.opt_views = self.views[:self.p_count][cp_mask, :] def distortion_model(self, views): return views def loss(self, p_pos): c_pos = self.c_pos[self.opt_c_id] c_rot = transforms.euler_angles_to_matrix(self.c_rot[:self.c_count] * self.rot_scale, convention='XYZ') c_rot = c_rot[self.opt_c_id] p_pos = p_pos[self.opt_p_id] views = self.distortion_model(self.opt_views) view_dir = c_rot.bmm(views.reshape(-1, 3, 1)) c_p_dir = p_pos - c_pos if self.use_dot_product: c_p_dir = c_p_dir / torch.norm(c_p_dir, dim=1, keepdim=True) view_loss = 1.000001 - c_p_dir.reshape(-1, 1, 3).bmm(view_dir.reshape(-1, 3, 1)) view_loss = view_loss ** self.error_power else: cross = torch.cross(c_p_dir, view_dir.reshape(-1, 3), dim=1) / torch.norm(c_p_dir, dim=1, keepdim=True) view_loss = torch.norm(cross, dim=1) view_loss = view_loss ** self.error_power view_loss *= (c_p_dir.reshape(-1, 1, 3).bmm(view_dir.reshape(-1, 3, 1)).reshape(-1).detach() > 0).float() opt = torch.sum(view_loss) return opt def all_positions(self): return self.c_pos[:self.c_count] def all_view_point_ids(self): return self.views_p_id[:self.p_count] def get_world_views(self, view_ids): R = transforms.euler_angles_to_matrix(self.c_rot[self.views_c_id[:view_ids.shape[0]][view_ids]] * self.rot_scale, convention='XYZ') u = R.bmm(self.views[:view_ids.shape[0]][view_ids].reshape(-1, 3, 1)).squeeze(2) return u, self.c_pos[self.views_c_id[:view_ids.shape[0]][view_ids]] def mask_gradients(self): self.c_pos.grad[self.opt_c_static] = 0 self.c_rot.grad[self.opt_c_static] = 0 class PerspectiveCamera: def __init__(self, device, error_power=0.5, c_max=10000, v_max=1000000): self.use_dot_product = False self.rot_scale = 0.05 self.error_power = error_power self.c_max = c_max self.p_max = v_max self.device = device self.c_count = 0 self.p_count = 0 self.c_pos = torch.zeros([self.c_max, 3], dtype=torch.float, device=self.device) self.c_rot = torch.zeros([self.c_max, 3], dtype=torch.float, device=self.device) self.c_focal = torch.zeros([self.c_max, 3], dtype=torch.float, device=self.device) self.views = torch.zeros([self.p_max, 3], dtype=torch.float, device=self.device) self.views_p_id = torch.zeros([self.p_max], dtype=torch.long, device=self.device) self.views_c_id = torch.zeros([self.p_max], dtype=torch.long, device=self.device) self.c_points = defaultdict(set) self.opt_c_id = None self.opt_p_id = None self.opt_views = None self.opt_sleeping_cams = None def add_camera(self, position, rotation, views_p_id, views): ''' :param position: [1, 3] - initial camera position vector :param rotation: [1, 3] - initial camera rotation vector as euler angles 'XYZ' :param views_p_id: [n] - array of point ids for points viewed from the camera :param views: [n, 3] - point view directions as unit vectors for each point viewed from the camere in the camera coordinate frame :return: int - new camera id ''' cam_id = self.c_count self.c_count += 1 with torch.no_grad(): self.c_pos[cam_id] = position self.c_rot[cam_id] = rotation self.views_c_id[self.p_count:self.p_count + views_p_id.shape[0]] = cam_id self.views_p_id[self.p_count:self.p_count + views_p_id.shape[0]] = views_p_id self.views[self.p_count:self.p_count + views_p_id.shape[0]] = views self.p_count += views_p_id.shape[0] return cam_id def prepare_optimization(self, c_id_request: torch.Tensor, p_id_request: torch.Tensor, p_id_rejected: torch.Tensor): ''' :param c_id_request: [n] long tensor of optimized camera ids :param p_id_request: [n] long tensor of optimized point ids (it is used to :param p_id_rejected: [n] long tensor of points which should not be used :return: N/A ''' with torch.no_grad(): if c_id_request is None and p_id_request is None: raise NotImplementedError('At least one of c_id_request and p_id_request has to be specified') cp_mask = None if c_id_request is not None: cp_mask = torch.isin(self.views_c_id[:self.p_count], c_id_request) if p_id_request is not None: p_mask = torch.isin(self.views_p_id[:self.p_count], p_id_request) if cp_mask is None: cp_mask = p_mask else: cp_mask = torch.logical_or(cp_mask, p_mask) if p_id_rejected is not None: r_mask = torch.isin(self.views_p_id[:self.p_count], p_id_rejected, invert=True) cp_mask = torch.logical_and(cp_mask, r_mask) self.opt_c_static = torch.isin( torch.arange(0, self.c_max, dtype=torch.long, device=self.device), c_id_request, invert=True) self.opt_c_id = self.views_c_id[:self.p_count][cp_mask] self.opt_p_id = self.views_p_id[:self.p_count][cp_mask] self.opt_views = self.views[:self.p_count][cp_mask, :] def distortion_model(self, views): return views def loss(self, p_pos): c_pos = self.c_pos[self.opt_c_id] c_rot = transforms.euler_angles_to_matrix(self.c_rot[:self.c_count] * self.rot_scale, convention='XYZ') c_rot = c_rot[self.opt_c_id] p_pos = p_pos[self.opt_p_id] views = self.distortion_model(self.opt_views) view_dir = c_rot.bmm(views.reshape(-1, 3, 1)) c_p_dir = p_pos - c_pos if self.use_dot_product: c_p_dir = c_p_dir / torch.norm(c_p_dir, dim=1, keepdim=True) view_loss = 1.000001 - c_p_dir.reshape(-1, 1, 3).bmm(view_dir.reshape(-1, 3, 1)) view_loss = view_loss ** self.error_power else: cross = torch.cross(c_p_dir, view_dir.reshape(-1, 3), dim=1) / torch.norm(c_p_dir, dim=1, keepdim=True) view_loss = torch.norm(cross, dim=1) view_loss = view_loss ** self.error_power view_loss *= (c_p_dir.reshape(-1, 1, 3).bmm(view_dir.reshape(-1, 3, 1)).reshape(-1).detach() > 0).float() opt = torch.sum(view_loss) return opt def all_positions(self): return self.c_pos[:self.c_count] def all_view_point_ids(self): return self.views_p_id[:self.p_count] def get_world_views(self, view_ids): R = transforms.euler_angles_to_matrix(self.c_rot[self.views_c_id[:view_ids.shape[0]][view_ids]] * self.rot_scale, convention='XYZ') u = R.bmm(self.views[:view_ids.shape[0]][view_ids].reshape(-1, 3, 1)).squeeze(2) return u, self.c_pos[self.views_c_id[:view_ids.shape[0]][view_ids]] def mask_gradients(self): self.c_pos.grad[self.opt_c_static] = 0 self.c_rot.grad[self.opt_c_static] = 0

41.810631

139

0.634406

1,985

12,585

3.75466

0.078589

0.020931

0.040252

0.025761

0.946599

0.94633

0.933986

0.924862

0.916275

0

0.018054

0.251808

12,585

300

140

41.95

0.773471

0.094478

0

0.890476

0

0.012693

0

1

0.119048

false

0

0.019048

0.033333

0.228571

0

null

0

1

0

1

0

null

0

7

06f49fe8e9d9a0d044d88db88c6271f68a3dcdb2

9,953

py

Python

features/steps/steps.py

hilam/i18web

c0d3fcc8bf9e1b1e4305844cb462cdf52a0becec

[ "MIT" ]

null

features/steps/steps.py

hilam/i18web

c0d3fcc8bf9e1b1e4305844cb462cdf52a0becec

[ "MIT" ]

4

2020-09-28T22:46:03.000Z

2020-09-28T22:52:31.000Z

features/steps/steps.py

hilam/i18web

c0d3fcc8bf9e1b1e4305844cb462cdf52a0becec

[ "MIT" ]

null

from behave import given, when, then @given(u'que o endereço da "homepage" foi apontado') def step_impl(context): raise NotImplementedError(u'STEP: Given que o endereço da "homepage" foi apontado') @when(u'o navegador apresentar a resposta') def step_impl(context): raise NotImplementedError(u'STEP: When o navegador apresentar a resposta') @then(u'é mostrada a página inicial da aplicação') def step_impl(context): raise NotImplementedError(u'STEP: Then é mostrada a página inicial da aplicação') @given(u'que um endereço inexistente foi apontado') def step_impl(context): raise NotImplementedError(u'STEP: Given que um endereço inexistente foi apontado') @then(u'é mostrada a página de endereço não encontrado') def step_impl(context): raise NotImplementedError(u'STEP: Then é mostrada a página de endereço não encontrado') @given(u'que a página inicial está carregada') def step_impl(context): raise NotImplementedError(u'STEP: Given que a página inicial está carregada') @when(u'escrever o link e confirmar a indicação') def step_impl(context): raise NotImplementedError(u'STEP: When escrever o link e confirmar a indicação') @then(u'o link será armazenado') def step_impl(context): raise NotImplementedError(u'STEP: Then o link será armazenado') @then(u'mostrado na página, na lista de indicações') def step_impl(context): raise NotImplementedError(u'STEP: Then mostrado na página, na lista de indicações') @given(u'que é mostrada a página inicial') def step_impl(context): raise NotImplementedError(u'STEP: Given que é mostrada a página inicial') @when(u'clicar no botão de priorização, na lista de indicações') def step_impl(context): raise NotImplementedError(u'STEP: When clicar no botão de priorização, na lista de indicações') @then(u'a indicação exibirá a quantidade anterior+1 na prioridade do mesmo') def step_impl(context): raise NotImplementedError( u'STEP: Then a indicação exibirá a quantidade anterior+1 na prioridade do mesmo') @given(u'que a página de consulta de indicações está carregada') def step_impl(context): raise NotImplementedError(u'STEP: Given que a página de consulta de indicações está carregada') @when(u'selecionar uma categoria') def step_impl(context): raise NotImplementedError(u'STEP: When selecionar uma categoria') @then(u'a lista de indicações é filtrada e exibida para aquela categoria') def step_impl(context): raise NotImplementedError( u'STEP: Then a lista de indicações é filtrada e exibida para aquela categoria') @given(u'que a página de registro está carregada') def step_impl(context): raise NotImplementedError(u'STEP: Given que a página de registro está carregada') @when(u'preencher os dados requeridos no formulário e confirmar o registro') def step_impl(context): raise NotImplementedError( u'STEP: When preencher os dados requeridos no formulário e confirmar o registro') @then(u'o sistema envia um e-mail com o link de confirmação de registro') def step_impl(context): raise NotImplementedError( u'STEP: Then o sistema envia um e-mail com o link de confirmação de registro') @given(u'que uma pessoa recebeu o e-mail de confirmação de registro') def step_impl(context): raise NotImplementedError( u'STEP: Given que uma pessoa recebeu o e-mail de confirmação de registro') @when(u'a pessoa acessar o link de confirmação presente no e-mail') def step_impl(context): raise NotImplementedError( u'STEP: When a pessoa acessar o link de confirmação presente no e-mail') @then(u'o seu registro na aplicação é confirmado') def step_impl(context): raise NotImplementedError(u'STEP: Then o seu registro na aplicação é confirmado') @then(u'a aplicação redireciona para o Painel de Usuário') def step_impl(context): raise NotImplementedError(u'STEP: Then a aplicação redireciona para o Painel de Usuário') @then(u'exibe abaixo do nome do usuário o selo de registrado') def step_impl(context): raise NotImplementedError(u'STEP: Then exibe abaixo do nome do usuário o selo de registrado') @given(u'que o formulário de "Login" está carregado') def step_impl(context): raise NotImplementedError(u'STEP: Given que o formulário de "Login" está carregado') @then(u'a aplicação redireciona para o Painel do Usuário') def step_impl(context): raise NotImplementedError(u'STEP: Then a aplicação redireciona para o Painel do Usuário') @given(u'que o Painel do Usuário está carregado') def step_impl(context): raise NotImplementedError(u'STEP: Given que o Painel do Usuário está carregado') @when(u'o usuários realizou indicações ateriores') def step_impl(context): raise NotImplementedError(u'STEP: When o usuários realizou indicações ateriores') @then(u'a aplicação mostra a lista de indicações') def step_impl(context): raise NotImplementedError(u'STEP: Then a aplicação mostra a lista de indicações') @then( u'o status de cada uma (Priorizando, selecionado, autorizado pelo autor, traduzindo, disponibilizado)') def step_impl(context): raise NotImplementedError( u'STEP: Then o status de cada uma (Priorizando, selecionado, autorizado pelo autor, traduzindo, disponibilizado)') @when(u'o botão de inscrição para tradutor for acionado') def step_impl(context): raise NotImplementedError(u'STEP: When o botão de inscrição para tradutor for acionado') @then(u'o sistema envia um e-mail com as condições para tradução') def step_impl(context): raise NotImplementedError( u'STEP: Then o sistema envia um e-mail com as condições para tradução') @then(u'um link de confirmação para possibilitar a tradução') def step_impl(context): raise NotImplementedError(u'STEP: Then um link de confirmação para possibilitar a tradução') @given(u'que uma pessoa recebeu o e-mail de confirmação para tradução') def step_impl(context): raise NotImplementedError( u'STEP: Given que uma pessoa recebeu o e-mail de confirmação para tradução') @then(u'a sua inscrição para traduto é confirmada') def step_impl(context): raise NotImplementedError(u'STEP: Then a sua inscrição para traduto é confirmada') @then(u'exibe abaixo do nome do usuário o selo de tradutor') def step_impl(context): raise NotImplementedError(u'STEP: Then exibe abaixo do nome do usuário o selo de tradutor') @when(u'a pessoa clicar no link de Desconexão') def step_impl(context): raise NotImplementedError(u'STEP: When a pessoa clicar no link de Desconexão') @then(u'a aplicação desconecta a pessoa e redireciona para a "homepage"') def step_impl(context): raise NotImplementedError( u'STEP: Then a aplicação desconecta a pessoa e redireciona para a "homepage"') @given(u'que o Painel do Usuário é exibido') def step_impl(context): raise NotImplementedError(u'STEP: Given que o Painel do Usuário é exibido') @given(u'abaixo do seu nome a aplicação exibe o selo de Editor') def step_impl(context): raise NotImplementedError(u'STEP: Given abaixo do seu nome a aplicação exibe o selo de Editor') @when(u'a pessoa clicar no botão de incluir categorias') def step_impl(context): raise NotImplementedError(u'STEP: When a pessoa clicar no botão de incluir categorias') @then(u'a aplicação abre uma janela com o formulário de categorias') def step_impl(context): raise NotImplementedError( u'STEP: Then a aplicação abre uma janela com o formulário de categorias') @then(u'registra as categorias confirmadas') def step_impl(context): raise NotImplementedError(u'STEP: Then registra as categorias confirmadas') @given(u'a lista de indicações priorizadas é exibida') def step_impl(context): raise NotImplementedError(u'STEP: Given a lista de indicações priorizadas é exibida') @when(u'a pessoa clicar no botão de seleção') def step_impl(context): raise NotImplementedError(u'STEP: When a pessoa clicar no botão de seleção') @then(u'a aplicação aciona a tarefa de envio de conteúdo para a plataforma de tradução') def step_impl(context): raise NotImplementedError( u'STEP: Then a aplicação aciona a tarefa de envio de conteúdo para a plataforma de tradução') @then(u'registra os endereços de tradução na plataforma') def step_impl(context): raise NotImplementedError(u'STEP: Then registra os endereços de tradução na plataforma') @given(u'que a lista de traduções selecionadas é exibida no Painel do Usuário') def step_impl(context): raise NotImplementedError( u'STEP: Given que a lista de traduções selecionadas é exibida no Painel do Usuário') @when(u'a pessoa clicar no botão de atribuição') def step_impl(context): raise NotImplementedError(u'STEP: When a pessoa clicar no botão de atribuição') @then(u'a aplicação manda as orientações para aquela tradução ao e-mail registrado') def step_impl(context): raise NotImplementedError( u'STEP: Then a aplicação manda as orientações para aquela tradução ao e-mail registrado') @given(u'a lista de traduções é exibida') def step_impl(context): raise NotImplementedError(u'STEP: Given a lista de traduções é exibida') @when(u'a pessoa clicar no botão de obter conteúdo traduzido') def step_impl(context): raise NotImplementedError(u'STEP: When a pessoa clicar no botão de obter conteúdo traduzido') @then(u'a aplicação aciona a tarefa de recepção de conteúdo para a plataforma de tradução') def step_impl(context): raise NotImplementedError( u'STEP: Then a aplicação aciona a tarefa de recepção de conteúdo para a plataforma de tradução') @then(u'registra os endereços de tradução na aplicação') def step_impl(context): raise NotImplementedError(u'STEP: Then registra os endereços de tradução na aplicação') @then(u'atualiza o status da indicação para disponibilizado') def step_impl(context): raise NotImplementedError(u'STEP: Then atualiza o status da indicação para disponibilizado')

34.559028

122

0.76168

1,500

9,953

5.018

0.096667

0.050219

0.078916

0.129135

0.961472

0.940614

0.914707

0.80922

0.756477

0.700943

0

0.00024

0.163368

9,953

287

123

34.679443

0.903687

0

0.385475

0

0.005587

0.590073

0

1

0.301676

false

0

0.005587

0

0.307263

0

null

0

1

0

null

0

1

0

7

661899c3f600b0b50e7457e7139de36d2aa6c568

372,176

py

Python

Autogenerated/Bindings/Python/Lib3MF.py

alexanderoster/lib3mf

30d5c2e0e8ed7febb5c10a84dc2db9d53fee6d05

[ "BSD-2-Clause" ]

171

2015-04-30T21:54:02.000Z

2022-03-13T13:33:59.000Z

Autogenerated/Bindings/Python/Lib3MF.py

alexanderoster/lib3mf

30d5c2e0e8ed7febb5c10a84dc2db9d53fee6d05

[ "BSD-2-Clause" ]

190

2015-07-21T22:15:54.000Z

2022-03-30T15:48:37.000Z

Autogenerated/Bindings/Python/Lib3MF.py

alexanderoster/lib3mf

30d5c2e0e8ed7febb5c10a84dc2db9d53fee6d05

[ "BSD-2-Clause" ]

80

2015-04-30T22:15:54.000Z

2022-03-09T12:38:49.000Z

'''++ Copyright (C) 2019 3MF Consortium (Original Author) All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. This file has been generated by the Automatic Component Toolkit (ACT) version 1.6.0. Abstract: This is an autogenerated Python file in order to allow an easy use of the 3MF Library Interface version: 2.2.0 ''' import ctypes import platform import enum import os name = "lib3mf" '''Definition of domain specific exception ''' class ELib3MFException(Exception): def __init__(self, code, message = ''): self._code = code self._message = message def __str__(self): if self._message: return 'Lib3MFException ' + str(self._code) + ': '+ str(self._message) return 'Lib3MFException ' + str(self._code) '''Definition of binding API version ''' class BindingVersion(enum.IntEnum): MAJOR = 2 MINOR = 2 MICRO = 0 '''Definition Error Codes ''' class ErrorCodes(enum.IntEnum): SUCCESS = 0 NOTIMPLEMENTED = 1 INVALIDPARAM = 2 INVALIDCAST = 3 BUFFERTOOSMALL = 4 GENERICEXCEPTION = 5 COULDNOTLOADLIBRARY = 6 COULDNOTFINDLIBRARYEXPORT = 7 INCOMPATIBLEBINARYVERSION = 8 CALCULATIONABORTED = 10 SHOULDNOTBECALLED = 11 READERCLASSUNKNOWN = 100 WRITERCLASSUNKNOWN = 101 ITERATORINVALIDINDEX = 102 INVALIDMODELRESOURCE = 103 RESOURCENOTFOUND = 104 INVALIDMODEL = 105 INVALIDOBJECT = 106 INVALIDMESHOBJECT = 107 INVALIDCOMPONENTSOBJECT = 108 INVALIDCOMPONENT = 109 INVALIDBUILDITEM = 110 INVALIDBASEMATERIALGROUP = 111 INVALIDSLICESTACKRESOURCE = 112 INVALIDTEXTURERESOURCE = 113 INVALIDCOLORGROUP = 114 INVALIDTEXTURE2DGROUP = 115 INVALIDCOMPOSITEMATERIALS = 116 INVALIDMULTIPROPERTYGROUP = 117 INVALIDRESOURCEINDEX = 120 ATTACHMENTNOTFOUND = 121 FORBIDDENCYCLICREFERENCE = 130 INVALIDATTACHMENTSTREAM = 131 INVALIDPROPERTYCOUNT = 132 UNKOWNPROGRESSIDENTIFIER = 140 ELEMENTCOUNTEXCEEDSLIMIT = 141 BEAMLATTICE_INVALID_OBJECTTYPE = 2000 INVALIDKEYSTORE = 3000 INVALIDKEYSTORECONSUMER = 3001 KEYSTORECONSUMERNOTFOUND = 3002 KEYSTORERESOURCEDATANOTFOUND = 3003 SECURECONTEXTNOTREGISTERED = 3004 '''Definition of Function Table ''' class FunctionTable: lib3mf_getlibraryversion = None lib3mf_getprereleaseinformation = None lib3mf_getbuildinformation = None lib3mf_getspecificationversion = None lib3mf_createmodel = None lib3mf_release = None lib3mf_acquire = None lib3mf_setjournal = None lib3mf_getlasterror = None lib3mf_getsymbollookupmethod = None lib3mf_retrieveprogressmessage = None lib3mf_rgbatocolor = None lib3mf_floatrgbatocolor = None lib3mf_colortorgba = None lib3mf_colortofloatrgba = None lib3mf_getidentitytransform = None lib3mf_getuniformscaletransform = None lib3mf_getscaletransform = None lib3mf_gettranslationtransform = None lib3mf_writer_writetofile = None lib3mf_writer_getstreamsize = None lib3mf_writer_writetobuffer = None lib3mf_writer_writetocallback = None lib3mf_writer_setprogresscallback = None lib3mf_writer_getdecimalprecision = None lib3mf_writer_setdecimalprecision = None lib3mf_writer_setstrictmodeactive = None lib3mf_writer_getstrictmodeactive = None lib3mf_writer_getwarning = None lib3mf_writer_getwarningcount = None lib3mf_writer_addkeywrappingcallback = None lib3mf_writer_setcontentencryptioncallback = None lib3mf_reader_readfromfile = None lib3mf_reader_readfrombuffer = None lib3mf_reader_readfromcallback = None lib3mf_reader_setprogresscallback = None lib3mf_reader_addrelationtoread = None lib3mf_reader_removerelationtoread = None lib3mf_reader_setstrictmodeactive = None lib3mf_reader_getstrictmodeactive = None lib3mf_reader_getwarning = None lib3mf_reader_getwarningcount = None lib3mf_reader_addkeywrappingcallback = None lib3mf_reader_setcontentencryptioncallback = None lib3mf_packagepart_getpath = None lib3mf_packagepart_setpath = None lib3mf_resource_getresourceid = None lib3mf_resource_getuniqueresourceid = None lib3mf_resource_packagepart = None lib3mf_resource_setpackagepart = None lib3mf_resource_getmodelresourceid = None lib3mf_resourceiterator_movenext = None lib3mf_resourceiterator_moveprevious = None lib3mf_resourceiterator_getcurrent = None lib3mf_resourceiterator_clone = None lib3mf_resourceiterator_count = None lib3mf_slicestackiterator_getcurrentslicestack = None lib3mf_objectiterator_getcurrentobject = None lib3mf_meshobjectiterator_getcurrentmeshobject = None lib3mf_componentsobjectiterator_getcurrentcomponentsobject = None lib3mf_texture2diterator_getcurrenttexture2d = None lib3mf_basematerialgroupiterator_getcurrentbasematerialgroup = None lib3mf_colorgroupiterator_getcurrentcolorgroup = None lib3mf_texture2dgroupiterator_getcurrenttexture2dgroup = None lib3mf_compositematerialsiterator_getcurrentcompositematerials = None lib3mf_multipropertygroupiterator_getcurrentmultipropertygroup = None lib3mf_metadata_getnamespace = None lib3mf_metadata_setnamespace = None lib3mf_metadata_getname = None lib3mf_metadata_setname = None lib3mf_metadata_getkey = None lib3mf_metadata_getmustpreserve = None lib3mf_metadata_setmustpreserve = None lib3mf_metadata_gettype = None lib3mf_metadata_settype = None lib3mf_metadata_getvalue = None lib3mf_metadata_setvalue = None lib3mf_metadatagroup_getmetadatacount = None lib3mf_metadatagroup_getmetadata = None lib3mf_metadatagroup_getmetadatabykey = None lib3mf_metadatagroup_removemetadatabyindex = None lib3mf_metadatagroup_removemetadata = None lib3mf_metadatagroup_addmetadata = None lib3mf_object_gettype = None lib3mf_object_settype = None lib3mf_object_getname = None lib3mf_object_setname = None lib3mf_object_getpartnumber = None lib3mf_object_setpartnumber = None lib3mf_object_ismeshobject = None lib3mf_object_iscomponentsobject = None lib3mf_object_isvalid = None lib3mf_object_setattachmentasthumbnail = None lib3mf_object_getthumbnailattachment = None lib3mf_object_clearthumbnailattachment = None lib3mf_object_getoutbox = None lib3mf_object_getuuid = None lib3mf_object_setuuid = None lib3mf_object_getmetadatagroup = None lib3mf_object_setslicesmeshresolution = None lib3mf_object_getslicesmeshresolution = None lib3mf_object_hasslices = None lib3mf_object_clearslicestack = None lib3mf_object_getslicestack = None lib3mf_object_assignslicestack = None lib3mf_meshobject_getvertexcount = None lib3mf_meshobject_gettrianglecount = None lib3mf_meshobject_getvertex = None lib3mf_meshobject_setvertex = None lib3mf_meshobject_addvertex = None lib3mf_meshobject_getvertices = None lib3mf_meshobject_gettriangle = None lib3mf_meshobject_settriangle = None lib3mf_meshobject_addtriangle = None lib3mf_meshobject_gettriangleindices = None lib3mf_meshobject_setobjectlevelproperty = None lib3mf_meshobject_getobjectlevelproperty = None lib3mf_meshobject_settriangleproperties = None lib3mf_meshobject_gettriangleproperties = None lib3mf_meshobject_setalltriangleproperties = None lib3mf_meshobject_getalltriangleproperties = None lib3mf_meshobject_clearallproperties = None lib3mf_meshobject_setgeometry = None lib3mf_meshobject_ismanifoldandoriented = None lib3mf_meshobject_beamlattice = None lib3mf_beamlattice_getminlength = None lib3mf_beamlattice_setminlength = None lib3mf_beamlattice_getclipping = None lib3mf_beamlattice_setclipping = None lib3mf_beamlattice_getrepresentation = None lib3mf_beamlattice_setrepresentation = None lib3mf_beamlattice_getballoptions = None lib3mf_beamlattice_setballoptions = None lib3mf_beamlattice_getbeamcount = None lib3mf_beamlattice_getbeam = None lib3mf_beamlattice_addbeam = None lib3mf_beamlattice_setbeam = None lib3mf_beamlattice_setbeams = None lib3mf_beamlattice_getbeams = None lib3mf_beamlattice_getballcount = None lib3mf_beamlattice_getball = None lib3mf_beamlattice_addball = None lib3mf_beamlattice_setball = None lib3mf_beamlattice_setballs = None lib3mf_beamlattice_getballs = None lib3mf_beamlattice_getbeamsetcount = None lib3mf_beamlattice_addbeamset = None lib3mf_beamlattice_getbeamset = None lib3mf_component_getobjectresource = None lib3mf_component_getobjectresourceid = None lib3mf_component_getuuid = None lib3mf_component_setuuid = None lib3mf_component_hastransform = None lib3mf_component_gettransform = None lib3mf_component_settransform = None lib3mf_componentsobject_addcomponent = None lib3mf_componentsobject_getcomponent = None lib3mf_componentsobject_getcomponentcount = None lib3mf_beamset_setname = None lib3mf_beamset_getname = None lib3mf_beamset_setidentifier = None lib3mf_beamset_getidentifier = None lib3mf_beamset_getreferencecount = None lib3mf_beamset_setreferences = None lib3mf_beamset_getreferences = None lib3mf_beamset_getballreferencecount = None lib3mf_beamset_setballreferences = None lib3mf_beamset_getballreferences = None lib3mf_basematerialgroup_getcount = None lib3mf_basematerialgroup_getallpropertyids = None lib3mf_basematerialgroup_addmaterial = None lib3mf_basematerialgroup_removematerial = None lib3mf_basematerialgroup_getname = None lib3mf_basematerialgroup_setname = None lib3mf_basematerialgroup_setdisplaycolor = None lib3mf_basematerialgroup_getdisplaycolor = None lib3mf_colorgroup_getcount = None lib3mf_colorgroup_getallpropertyids = None lib3mf_colorgroup_addcolor = None lib3mf_colorgroup_removecolor = None lib3mf_colorgroup_setcolor = None lib3mf_colorgroup_getcolor = None lib3mf_texture2dgroup_getcount = None lib3mf_texture2dgroup_getallpropertyids = None lib3mf_texture2dgroup_addtex2coord = None lib3mf_texture2dgroup_gettex2coord = None lib3mf_texture2dgroup_removetex2coord = None lib3mf_texture2dgroup_gettexture2d = None lib3mf_compositematerials_getcount = None lib3mf_compositematerials_getallpropertyids = None lib3mf_compositematerials_getbasematerialgroup = None lib3mf_compositematerials_addcomposite = None lib3mf_compositematerials_removecomposite = None lib3mf_compositematerials_getcomposite = None lib3mf_multipropertygroup_getcount = None lib3mf_multipropertygroup_getallpropertyids = None lib3mf_multipropertygroup_addmultiproperty = None lib3mf_multipropertygroup_setmultiproperty = None lib3mf_multipropertygroup_getmultiproperty = None lib3mf_multipropertygroup_removemultiproperty = None lib3mf_multipropertygroup_getlayercount = None lib3mf_multipropertygroup_addlayer = None lib3mf_multipropertygroup_getlayer = None lib3mf_multipropertygroup_removelayer = None lib3mf_attachment_getpath = None lib3mf_attachment_setpath = None lib3mf_attachment_packagepart = None lib3mf_attachment_getrelationshiptype = None lib3mf_attachment_setrelationshiptype = None lib3mf_attachment_writetofile = None lib3mf_attachment_readfromfile = None lib3mf_attachment_readfromcallback = None lib3mf_attachment_getstreamsize = None lib3mf_attachment_writetobuffer = None lib3mf_attachment_readfrombuffer = None lib3mf_texture2d_getattachment = None lib3mf_texture2d_setattachment = None lib3mf_texture2d_getcontenttype = None lib3mf_texture2d_setcontenttype = None lib3mf_texture2d_gettilestyleuv = None lib3mf_texture2d_settilestyleuv = None lib3mf_texture2d_getfilter = None lib3mf_texture2d_setfilter = None lib3mf_builditem_getobjectresource = None lib3mf_builditem_getuuid = None lib3mf_builditem_setuuid = None lib3mf_builditem_getobjectresourceid = None lib3mf_builditem_hasobjecttransform = None lib3mf_builditem_getobjecttransform = None lib3mf_builditem_setobjecttransform = None lib3mf_builditem_getpartnumber = None lib3mf_builditem_setpartnumber = None lib3mf_builditem_getmetadatagroup = None lib3mf_builditem_getoutbox = None lib3mf_builditemiterator_movenext = None lib3mf_builditemiterator_moveprevious = None lib3mf_builditemiterator_getcurrent = None lib3mf_builditemiterator_clone = None lib3mf_builditemiterator_count = None lib3mf_slice_setvertices = None lib3mf_slice_getvertices = None lib3mf_slice_getvertexcount = None lib3mf_slice_addpolygon = None lib3mf_slice_getpolygoncount = None lib3mf_slice_setpolygonindices = None lib3mf_slice_getpolygonindices = None lib3mf_slice_getpolygonindexcount = None lib3mf_slice_getztop = None lib3mf_slicestack_getbottomz = None lib3mf_slicestack_getslicecount = None lib3mf_slicestack_getslice = None lib3mf_slicestack_addslice = None lib3mf_slicestack_getslicerefcount = None lib3mf_slicestack_addslicestackreference = None lib3mf_slicestack_getslicestackreference = None lib3mf_slicestack_collapseslicereferences = None lib3mf_slicestack_setownpath = None lib3mf_slicestack_getownpath = None lib3mf_consumer_getconsumerid = None lib3mf_consumer_getkeyid = None lib3mf_consumer_getkeyvalue = None lib3mf_accessright_getconsumer = None lib3mf_accessright_getwrappingalgorithm = None lib3mf_accessright_getmgfalgorithm = None lib3mf_accessright_getdigestmethod = None lib3mf_contentencryptionparams_getencryptionalgorithm = None lib3mf_contentencryptionparams_getkey = None lib3mf_contentencryptionparams_getinitializationvector = None lib3mf_contentencryptionparams_getauthenticationtag = None lib3mf_contentencryptionparams_setauthenticationtag = None lib3mf_contentencryptionparams_getadditionalauthenticationdata = None lib3mf_contentencryptionparams_getdescriptor = None lib3mf_contentencryptionparams_getkeyuuid = None lib3mf_resourcedata_getpath = None lib3mf_resourcedata_getencryptionalgorithm = None lib3mf_resourcedata_getcompression = None lib3mf_resourcedata_getadditionalauthenticationdata = None lib3mf_resourcedatagroup_getkeyuuid = None lib3mf_resourcedatagroup_addaccessright = None lib3mf_resourcedatagroup_findaccessrightbyconsumer = None lib3mf_resourcedatagroup_removeaccessright = None lib3mf_keystore_addconsumer = None lib3mf_keystore_getconsumercount = None lib3mf_keystore_getconsumer = None lib3mf_keystore_removeconsumer = None lib3mf_keystore_findconsumer = None lib3mf_keystore_getresourcedatagroupcount = None lib3mf_keystore_addresourcedatagroup = None lib3mf_keystore_getresourcedatagroup = None lib3mf_keystore_removeresourcedatagroup = None lib3mf_keystore_findresourcedatagroup = None lib3mf_keystore_addresourcedata = None lib3mf_keystore_removeresourcedata = None lib3mf_keystore_findresourcedata = None lib3mf_keystore_getresourcedatacount = None lib3mf_keystore_getresourcedata = None lib3mf_keystore_getuuid = None lib3mf_keystore_setuuid = None lib3mf_model_rootmodelpart = None lib3mf_model_findorcreatepackagepart = None lib3mf_model_setunit = None lib3mf_model_getunit = None lib3mf_model_getlanguage = None lib3mf_model_setlanguage = None lib3mf_model_querywriter = None lib3mf_model_queryreader = None lib3mf_model_gettexture2dbyid = None lib3mf_model_getpropertytypebyid = None lib3mf_model_getbasematerialgroupbyid = None lib3mf_model_gettexture2dgroupbyid = None lib3mf_model_getcompositematerialsbyid = None lib3mf_model_getmultipropertygroupbyid = None lib3mf_model_getmeshobjectbyid = None lib3mf_model_getcomponentsobjectbyid = None lib3mf_model_getcolorgroupbyid = None lib3mf_model_getslicestackbyid = None lib3mf_model_getbuilduuid = None lib3mf_model_setbuilduuid = None lib3mf_model_getbuilditems = None lib3mf_model_getoutbox = None lib3mf_model_getresources = None lib3mf_model_getobjects = None lib3mf_model_getmeshobjects = None lib3mf_model_getcomponentsobjects = None lib3mf_model_gettexture2ds = None lib3mf_model_getbasematerialgroups = None lib3mf_model_getcolorgroups = None lib3mf_model_gettexture2dgroups = None lib3mf_model_getcompositematerials = None lib3mf_model_getmultipropertygroups = None lib3mf_model_getslicestacks = None lib3mf_model_mergetomodel = None lib3mf_model_addmeshobject = None lib3mf_model_addcomponentsobject = None lib3mf_model_addslicestack = None lib3mf_model_addtexture2dfromattachment = None lib3mf_model_addbasematerialgroup = None lib3mf_model_addcolorgroup = None lib3mf_model_addtexture2dgroup = None lib3mf_model_addcompositematerials = None lib3mf_model_addmultipropertygroup = None lib3mf_model_addbuilditem = None lib3mf_model_removebuilditem = None lib3mf_model_getmetadatagroup = None lib3mf_model_addattachment = None lib3mf_model_removeattachment = None lib3mf_model_getattachment = None lib3mf_model_findattachment = None lib3mf_model_getattachmentcount = None lib3mf_model_haspackagethumbnailattachment = None lib3mf_model_createpackagethumbnailattachment = None lib3mf_model_getpackagethumbnailattachment = None lib3mf_model_removepackagethumbnailattachment = None lib3mf_model_addcustomcontenttype = None lib3mf_model_removecustomcontenttype = None lib3mf_model_setrandomnumbercallback = None lib3mf_model_getkeystore = None '''Definition of Enumerations ''' '''Definition of base enumeration for ctypes ''' class CTypesEnum(enum.IntEnum): def from_param(obj): return int(obj) '''Definition of PropertyType ''' class PropertyType(CTypesEnum): NoPropertyType = 0 BaseMaterial = 1 TexCoord = 2 Colors = 3 Composite = 4 Multi = 5 '''Definition of SlicesMeshResolution ''' class SlicesMeshResolution(CTypesEnum): Fullres = 0 Lowres = 1 '''Definition of ModelUnit ''' class ModelUnit(CTypesEnum): MicroMeter = 0 MilliMeter = 1 CentiMeter = 2 Inch = 3 Foot = 4 Meter = 5 '''Definition of ObjectType ''' class ObjectType(CTypesEnum): Other = 0 Model = 1 Support = 2 SolidSupport = 3 '''Definition of TextureType ''' class TextureType(CTypesEnum): Unknown = 0 PNG = 1 JPEG = 2 '''Definition of TextureTileStyle ''' class TextureTileStyle(CTypesEnum): Wrap = 0 Mirror = 1 Clamp = 2 NoTileStyle = 3 '''Definition of TextureFilter ''' class TextureFilter(CTypesEnum): Auto = 0 Linear = 1 Nearest = 2 '''Definition of BeamLatticeCapMode ''' class BeamLatticeCapMode(CTypesEnum): Sphere = 0 HemiSphere = 1 Butt = 2 '''Definition of BeamLatticeClipMode ''' class BeamLatticeClipMode(CTypesEnum): NoClipMode = 0 Inside = 1 Outside = 2 '''Definition of BeamLatticeBallMode ''' class BeamLatticeBallMode(CTypesEnum): None = 0 Mixed = 1 All = 2 '''Definition of ProgressIdentifier ''' class ProgressIdentifier(CTypesEnum): QUERYCANCELED = 0 DONE = 1 CLEANUP = 2 READSTREAM = 3 EXTRACTOPCPACKAGE = 4 READNONROOTMODELS = 5 READROOTMODEL = 6 READRESOURCES = 7 READMESH = 8 READSLICES = 9 READBUILD = 10 READCUSTOMATTACHMENT = 11 READTEXTURETACHMENTS = 12 CREATEOPCPACKAGE = 13 WRITEMODELSTOSTREAM = 14 WRITEROOTMODEL = 15 WRITENONROOTMODELS = 16 WRITEATTACHMENTS = 17 WRITECONTENTTYPES = 18 WRITENOBJECTS = 19 WRITENODES = 20 WRITETRIANGLES = 21 WRITESLICES = 22 WRITEKEYSTORE = 23 '''Definition of BlendMethod ''' class BlendMethod(CTypesEnum): NoBlendMethod = 0 Mix = 1 Multiply = 2 '''Definition of EncryptionAlgorithm ''' class EncryptionAlgorithm(CTypesEnum): AES256_GCM = 1 '''Definition of WrappingAlgorithm ''' class WrappingAlgorithm(CTypesEnum): RSA_OAEP = 0 '''Definition of MgfAlgorithm ''' class MgfAlgorithm(CTypesEnum): MGF1_SHA1 = 160 MGF1_SHA224 = 224 MGF1_SHA256 = 256 MGF1_SHA384 = 384 MGF1_SHA512 = 512 '''Definition of DigestMethod ''' class DigestMethod(CTypesEnum): SHA1 = 160 SHA256 = 256 '''Definition of Compression ''' class Compression(CTypesEnum): NoCompression = 0 Deflate = 1 '''Definition of Structs ''' '''Definition of Triangle ''' class Triangle(ctypes.Structure): _pack_ = 1 _fields_ = [ ("Indices", ctypes.c_uint32 * 3) ] '''Definition of TriangleProperties ''' class TriangleProperties(ctypes.Structure): _pack_ = 1 _fields_ = [ ("ResourceID", ctypes.c_uint32), ("PropertyIDs", ctypes.c_uint32 * 3) ] '''Definition of Position ''' class Position(ctypes.Structure): _pack_ = 1 _fields_ = [ ("Coordinates", ctypes.c_float * 3) ] '''Definition of Position2D ''' class Position2D(ctypes.Structure): _pack_ = 1 _fields_ = [ ("Coordinates", ctypes.c_float * 2) ] '''Definition of CompositeConstituent ''' class CompositeConstituent(ctypes.Structure): _pack_ = 1 _fields_ = [ ("PropertyID", ctypes.c_uint32), ("MixingRatio", ctypes.c_double) ] '''Definition of MultiPropertyLayer ''' class MultiPropertyLayer(ctypes.Structure): _pack_ = 1 _fields_ = [ ("ResourceID", ctypes.c_uint32), ("TheBlendMethod", ctypes.c_int32) ] '''Definition of Tex2Coord ''' class Tex2Coord(ctypes.Structure): _pack_ = 1 _fields_ = [ ("U", ctypes.c_double), ("V", ctypes.c_double) ] '''Definition of Transform ''' class Transform(ctypes.Structure): _pack_ = 1 _fields_ = [ ("Fields", (ctypes.c_float * 3) * 4) ] '''Definition of Box ''' class Box(ctypes.Structure): _pack_ = 1 _fields_ = [ ("MinCoordinate", ctypes.c_float * 3), ("MaxCoordinate", ctypes.c_float * 3) ] '''Definition of Color ''' class Color(ctypes.Structure): _pack_ = 1 _fields_ = [ ("Red", ctypes.c_uint8), ("Green", ctypes.c_uint8), ("Blue", ctypes.c_uint8), ("Alpha", ctypes.c_uint8) ] '''Definition of Beam ''' class Beam(ctypes.Structure): _pack_ = 1 _fields_ = [ ("Indices", ctypes.c_uint32 * 2), ("Radii", ctypes.c_double * 2), ("CapModes", ctypes.c_int32 * 2) ] '''Definition of Ball ''' class Ball(ctypes.Structure): _pack_ = 1 _fields_ = [ ("Index", ctypes.c_uint32), ("Radius", ctypes.c_double) ] '''Definition of Function Types ''' '''Definition of ProgressCallback A callback function ''' ProgressCallback = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_double, ProgressIdentifier, ctypes.c_void_p) '''Definition of WriteCallback Callback to call for writing a data chunk ''' WriteCallback = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.c_void_p) '''Definition of ReadCallback Callback to call for reading a data chunk ''' ReadCallback = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.c_void_p) '''Definition of SeekCallback Callback to call for seeking in the stream ''' SeekCallback = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.c_uint64, ctypes.c_void_p) '''Definition of RandomNumberCallback Callback to generate random numbers ''' RandomNumberCallback = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) '''Definition of KeyWrappingCallback A callback used to wrap (encrypt) the content key available in keystore resource group ''' KeyWrappingCallback = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) '''Definition of ContentEncryptionCallback A callback to encrypt/decrypt content called on each resource encrypted. This might be called several times depending on content size. If Input is not available(either null or size is 0), clients must return the result of authenticated tag generation/validation. ''' ContentEncryptionCallback = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) '''Wrapper Class Implementation ''' class Wrapper: def __init__(self, libraryName = None, symbolLookupMethodAddress = None): ending = '' if platform.system() == 'Windows': ending = 'dll' elif platform.system() == 'Linux': ending = 'so' elif platform.system() == 'Darwin': ending = 'dylib' else: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY) if (not libraryName) and (not symbolLookupMethodAddress): libraryName = os.path.join(os.path.dirname(os.path.realpath(__file__)),'lib3mf') if libraryName is not None: path = libraryName + '.' + ending try: self.lib = ctypes.CDLL(path) except Exception as e: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(e) + '| "'+path + '"' ) self._loadFunctionTable() elif symbolLookupMethodAddress is not None: self.lib = FunctionTable() self._loadFunctionTableFromMethod(symbolLookupMethodAddress) else: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(e)) self._checkBinaryVersion() def _loadFunctionTableFromMethod(self, symbolLookupMethodAddress): try: symbolLookupMethodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) symbolLookupMethod = symbolLookupMethodType(int(symbolLookupMethodAddress)) methodAddress = ctypes.c_void_p() err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getlibraryversion")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_getlibraryversion = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getprereleaseinformation")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_getprereleaseinformation = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getbuildinformation")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_getbuildinformation = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getspecificationversion")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_char_p, ctypes.POINTER(ctypes.c_bool), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_getspecificationversion = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_createmodel")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_createmodel = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_release")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p) self.lib.lib3mf_release = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_acquire")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p) self.lib.lib3mf_acquire = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_setjournal")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_char_p) self.lib.lib3mf_setjournal = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getlasterror")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_getlasterror = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getsymbollookupmethod")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_getsymbollookupmethod = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_retrieveprogressmessage")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ProgressIdentifier, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_retrieveprogressmessage = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_rgbatocolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_uint8, ctypes.c_uint8, ctypes.c_uint8, ctypes.c_uint8, ctypes.POINTER(Color)) self.lib.lib3mf_rgbatocolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_floatrgbatocolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.POINTER(Color)) self.lib.lib3mf_floatrgbatocolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colortorgba")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_colortorgba = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colortofloatrgba")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float)) self.lib.lib3mf_colortofloatrgba = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getidentitytransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.POINTER(Transform)) self.lib.lib3mf_getidentitytransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getuniformscaletransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_float, ctypes.POINTER(Transform)) self.lib.lib3mf_getuniformscaletransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_getscaletransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.POINTER(Transform)) self.lib.lib3mf_getscaletransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_gettranslationtransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.POINTER(Transform)) self.lib.lib3mf_gettranslationtransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_writetofile")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_writer_writetofile = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_getstreamsize")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_writer_getstreamsize = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_writetobuffer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_writer_writetobuffer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_writetocallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, WriteCallback, SeekCallback, ctypes.c_void_p) self.lib.lib3mf_writer_writetocallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_setprogresscallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ProgressCallback, ctypes.c_void_p) self.lib.lib3mf_writer_setprogresscallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_getdecimalprecision")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_writer_getdecimalprecision = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_setdecimalprecision")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_writer_setdecimalprecision = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_setstrictmodeactive")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_bool) self.lib.lib3mf_writer_setstrictmodeactive = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_getstrictmodeactive")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_writer_getstrictmodeactive = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_getwarning")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_uint32), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_writer_getwarning = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_getwarningcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_writer_getwarningcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_addkeywrappingcallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, KeyWrappingCallback, ctypes.c_void_p) self.lib.lib3mf_writer_addkeywrappingcallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_writer_setcontentencryptioncallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ContentEncryptionCallback, ctypes.c_void_p) self.lib.lib3mf_writer_setcontentencryptioncallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_readfromfile")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_reader_readfromfile = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_readfrombuffer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_reader_readfrombuffer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_readfromcallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ReadCallback, ctypes.c_uint64, SeekCallback, ctypes.c_void_p) self.lib.lib3mf_reader_readfromcallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_setprogresscallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ProgressCallback, ctypes.c_void_p) self.lib.lib3mf_reader_setprogresscallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_addrelationtoread")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_reader_addrelationtoread = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_removerelationtoread")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_reader_removerelationtoread = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_setstrictmodeactive")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_bool) self.lib.lib3mf_reader_setstrictmodeactive = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_getstrictmodeactive")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_reader_getstrictmodeactive = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_getwarning")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_uint32), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_reader_getwarning = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_getwarningcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_reader_getwarningcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_addkeywrappingcallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, KeyWrappingCallback, ctypes.c_void_p) self.lib.lib3mf_reader_addkeywrappingcallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_reader_setcontentencryptioncallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ContentEncryptionCallback, ctypes.c_void_p) self.lib.lib3mf_reader_setcontentencryptioncallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_packagepart_getpath")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_packagepart_getpath = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_packagepart_setpath")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_packagepart_setpath = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resource_getresourceid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_resource_getresourceid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resource_getuniqueresourceid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_resource_getuniqueresourceid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resource_packagepart")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_resource_packagepart = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resource_setpackagepart")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_resource_setpackagepart = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resource_getmodelresourceid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_resource_getmodelresourceid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourceiterator_movenext")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_resourceiterator_movenext = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourceiterator_moveprevious")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_resourceiterator_moveprevious = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourceiterator_getcurrent")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_resourceiterator_getcurrent = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourceiterator_clone")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_resourceiterator_clone = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourceiterator_count")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_resourceiterator_count = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestackiterator_getcurrentslicestack")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_slicestackiterator_getcurrentslicestack = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_objectiterator_getcurrentobject")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_objectiterator_getcurrentobject = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobjectiterator_getcurrentmeshobject")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_meshobjectiterator_getcurrentmeshobject = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_componentsobjectiterator_getcurrentcomponentsobject")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_componentsobjectiterator_getcurrentcomponentsobject = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2diterator_getcurrenttexture2d")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_texture2diterator_getcurrenttexture2d = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroupiterator_getcurrentbasematerialgroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_basematerialgroupiterator_getcurrentbasematerialgroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colorgroupiterator_getcurrentcolorgroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_colorgroupiterator_getcurrentcolorgroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2dgroupiterator_getcurrenttexture2dgroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_texture2dgroupiterator_getcurrenttexture2dgroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_compositematerialsiterator_getcurrentcompositematerials")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_compositematerialsiterator_getcurrentcompositematerials = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroupiterator_getcurrentmultipropertygroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_multipropertygroupiterator_getcurrentmultipropertygroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_getnamespace")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_metadata_getnamespace = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_setnamespace")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_metadata_setnamespace = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_getname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_metadata_getname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_setname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_metadata_setname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_getkey")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_metadata_getkey = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_getmustpreserve")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_metadata_getmustpreserve = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_setmustpreserve")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_bool) self.lib.lib3mf_metadata_setmustpreserve = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_gettype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_metadata_gettype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_settype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_metadata_settype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_getvalue")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_metadata_getvalue = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadata_setvalue")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_metadata_setvalue = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadatagroup_getmetadatacount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_metadatagroup_getmetadatacount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadatagroup_getmetadata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_metadatagroup_getmetadata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadatagroup_getmetadatabykey")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_metadatagroup_getmetadatabykey = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadatagroup_removemetadatabyindex")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_metadatagroup_removemetadatabyindex = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadatagroup_removemetadata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_metadatagroup_removemetadata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_metadatagroup_addmetadata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_bool, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_metadatagroup_addmetadata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_gettype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_object_gettype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_settype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ObjectType) self.lib.lib3mf_object_settype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_object_getname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_setname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_object_setname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getpartnumber")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_object_getpartnumber = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_setpartnumber")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_object_setpartnumber = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_ismeshobject")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_object_ismeshobject = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_iscomponentsobject")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_object_iscomponentsobject = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_isvalid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_object_isvalid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_setattachmentasthumbnail")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_object_setattachmentasthumbnail = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getthumbnailattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_object_getthumbnailattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_clearthumbnailattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p) self.lib.lib3mf_object_clearthumbnailattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getoutbox")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Box)) self.lib.lib3mf_object_getoutbox = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_object_getuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_setuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_object_setuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getmetadatagroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_object_getmetadatagroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_setslicesmeshresolution")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, SlicesMeshResolution) self.lib.lib3mf_object_setslicesmeshresolution = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getslicesmeshresolution")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_object_getslicesmeshresolution = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_hasslices")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_bool, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_object_hasslices = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_clearslicestack")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p) self.lib.lib3mf_object_clearslicestack = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_getslicestack")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_object_getslicestack = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_object_assignslicestack")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_object_assignslicestack = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_getvertexcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_meshobject_getvertexcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_gettrianglecount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_meshobject_gettrianglecount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_getvertex")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Position)) self.lib.lib3mf_meshobject_getvertex = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_setvertex")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Position)) self.lib.lib3mf_meshobject_setvertex = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_addvertex")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Position), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_meshobject_addvertex = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_getvertices")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Position)) self.lib.lib3mf_meshobject_getvertices = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_gettriangle")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Triangle)) self.lib.lib3mf_meshobject_gettriangle = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_settriangle")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Triangle)) self.lib.lib3mf_meshobject_settriangle = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_addtriangle")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Triangle), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_meshobject_addtriangle = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_gettriangleindices")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Triangle)) self.lib.lib3mf_meshobject_gettriangleindices = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_setobjectlevelproperty")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint32) self.lib.lib3mf_meshobject_setobjectlevelproperty = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_getobjectlevelproperty")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_meshobject_getobjectlevelproperty = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_settriangleproperties")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(TriangleProperties)) self.lib.lib3mf_meshobject_settriangleproperties = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_gettriangleproperties")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(TriangleProperties)) self.lib.lib3mf_meshobject_gettriangleproperties = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_setalltriangleproperties")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(TriangleProperties)) self.lib.lib3mf_meshobject_setalltriangleproperties = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_getalltriangleproperties")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(TriangleProperties)) self.lib.lib3mf_meshobject_getalltriangleproperties = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_clearallproperties")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p) self.lib.lib3mf_meshobject_clearallproperties = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_setgeometry")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Position), ctypes.c_uint64, ctypes.POINTER(Triangle)) self.lib.lib3mf_meshobject_setgeometry = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_ismanifoldandoriented")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_meshobject_ismanifoldandoriented = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_meshobject_beamlattice")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_meshobject_beamlattice = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getminlength")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_double)) self.lib.lib3mf_beamlattice_getminlength = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setminlength")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_double) self.lib.lib3mf_beamlattice_setminlength = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getclipping")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamlattice_getclipping = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setclipping")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, BeamLatticeClipMode, ctypes.c_uint32) self.lib.lib3mf_beamlattice_setclipping = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getrepresentation")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamlattice_getrepresentation = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setrepresentation")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_beamlattice_setrepresentation = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getballoptions")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32), ctypes.POINTER(ctypes.c_double)) self.lib.lib3mf_beamlattice_getballoptions = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setballoptions")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, BeamLatticeBallMode, ctypes.c_double) self.lib.lib3mf_beamlattice_setballoptions = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getbeamcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamlattice_getbeamcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getbeam")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Beam)) self.lib.lib3mf_beamlattice_getbeam = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_addbeam")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Beam), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamlattice_addbeam = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setbeam")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Beam)) self.lib.lib3mf_beamlattice_setbeam = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setbeams")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Beam)) self.lib.lib3mf_beamlattice_setbeams = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getbeams")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Beam)) self.lib.lib3mf_beamlattice_getbeams = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getballcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamlattice_getballcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getball")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Ball)) self.lib.lib3mf_beamlattice_getball = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_addball")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Ball), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamlattice_addball = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setball")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Ball)) self.lib.lib3mf_beamlattice_setball = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_setballs")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Ball)) self.lib.lib3mf_beamlattice_setballs = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getballs")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Ball)) self.lib.lib3mf_beamlattice_getballs = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getbeamsetcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamlattice_getbeamsetcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_addbeamset")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_beamlattice_addbeamset = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamlattice_getbeamset")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_beamlattice_getbeamset = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_component_getobjectresource")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_component_getobjectresource = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_component_getobjectresourceid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_component_getobjectresourceid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_component_getuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_component_getuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_component_setuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_component_setuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_component_hastransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_component_hastransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_component_gettransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Transform)) self.lib.lib3mf_component_gettransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_component_settransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Transform)) self.lib.lib3mf_component_settransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_componentsobject_addcomponent")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(Transform), ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_componentsobject_addcomponent = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_componentsobject_getcomponent")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_componentsobject_getcomponent = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_componentsobject_getcomponentcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_componentsobject_getcomponentcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_setname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_beamset_setname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_getname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_beamset_getname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_setidentifier")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_beamset_setidentifier = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_getidentifier")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_beamset_getidentifier = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_getreferencecount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamset_getreferencecount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_setreferences")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamset_setreferences = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_getreferences")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamset_getreferences = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_getballreferencecount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamset_getballreferencecount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_setballreferences")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamset_setballreferences = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_beamset_getballreferences")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_beamset_getballreferences = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_getcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_basematerialgroup_getcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_getallpropertyids")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_basematerialgroup_getallpropertyids = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_addmaterial")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_basematerialgroup_addmaterial = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_removematerial")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_basematerialgroup_removematerial = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_getname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_basematerialgroup_getname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_setname")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.c_char_p) self.lib.lib3mf_basematerialgroup_setname = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_setdisplaycolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)) self.lib.lib3mf_basematerialgroup_setdisplaycolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_basematerialgroup_getdisplaycolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)) self.lib.lib3mf_basematerialgroup_getdisplaycolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colorgroup_getcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_colorgroup_getcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colorgroup_getallpropertyids")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_colorgroup_getallpropertyids = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colorgroup_addcolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_colorgroup_addcolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colorgroup_removecolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_colorgroup_removecolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colorgroup_setcolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)) self.lib.lib3mf_colorgroup_setcolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_colorgroup_getcolor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)) self.lib.lib3mf_colorgroup_getcolor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2dgroup_getcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_texture2dgroup_getcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2dgroup_getallpropertyids")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_texture2dgroup_getallpropertyids = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2dgroup_addtex2coord")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Tex2Coord), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_texture2dgroup_addtex2coord = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2dgroup_gettex2coord")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Tex2Coord)) self.lib.lib3mf_texture2dgroup_gettex2coord = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2dgroup_removetex2coord")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_texture2dgroup_removetex2coord = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2dgroup_gettexture2d")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_texture2dgroup_gettexture2d = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_compositematerials_getcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_compositematerials_getcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_compositematerials_getallpropertyids")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_compositematerials_getallpropertyids = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_compositematerials_getbasematerialgroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_compositematerials_getbasematerialgroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_compositematerials_addcomposite")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(CompositeConstituent), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_compositematerials_addcomposite = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_compositematerials_removecomposite")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_compositematerials_removecomposite = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_compositematerials_getcomposite")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(CompositeConstituent)) self.lib.lib3mf_compositematerials_getcomposite = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_getcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_multipropertygroup_getcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_getallpropertyids")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_multipropertygroup_getallpropertyids = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_addmultiproperty")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_multipropertygroup_addmultiproperty = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_setmultiproperty")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_multipropertygroup_setmultiproperty = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_getmultiproperty")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_multipropertygroup_getmultiproperty = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_removemultiproperty")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_multipropertygroup_removemultiproperty = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_getlayercount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_multipropertygroup_getlayercount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_addlayer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(MultiPropertyLayer), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_multipropertygroup_addlayer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_getlayer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(MultiPropertyLayer)) self.lib.lib3mf_multipropertygroup_getlayer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_multipropertygroup_removelayer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32) self.lib.lib3mf_multipropertygroup_removelayer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_getpath")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_attachment_getpath = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_setpath")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_attachment_setpath = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_packagepart")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_attachment_packagepart = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_getrelationshiptype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_attachment_getrelationshiptype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_setrelationshiptype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_attachment_setrelationshiptype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_writetofile")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_attachment_writetofile = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_readfromfile")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_attachment_readfromfile = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_readfromcallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ReadCallback, ctypes.c_uint64, SeekCallback, ctypes.c_void_p) self.lib.lib3mf_attachment_readfromcallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_getstreamsize")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_attachment_getstreamsize = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_writetobuffer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_attachment_writetobuffer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_attachment_readfrombuffer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_attachment_readfrombuffer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_getattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_texture2d_getattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_setattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_texture2d_setattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_getcontenttype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_texture2d_getcontenttype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_setcontenttype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, TextureType) self.lib.lib3mf_texture2d_setcontenttype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_gettilestyleuv")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32), ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_texture2d_gettilestyleuv = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_settilestyleuv")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, TextureTileStyle, TextureTileStyle) self.lib.lib3mf_texture2d_settilestyleuv = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_getfilter")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_texture2d_getfilter = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_texture2d_setfilter")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, TextureFilter) self.lib.lib3mf_texture2d_setfilter = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_getobjectresource")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_builditem_getobjectresource = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_getuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_builditem_getuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_setuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_builditem_setuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_getobjectresourceid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_builditem_getobjectresourceid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_hasobjecttransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_builditem_hasobjecttransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_getobjecttransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Transform)) self.lib.lib3mf_builditem_getobjecttransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_setobjecttransform")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Transform)) self.lib.lib3mf_builditem_setobjecttransform = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_getpartnumber")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_builditem_getpartnumber = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_setpartnumber")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_builditem_setpartnumber = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_getmetadatagroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_builditem_getmetadatagroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditem_getoutbox")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Box)) self.lib.lib3mf_builditem_getoutbox = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditemiterator_movenext")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_builditemiterator_movenext = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditemiterator_moveprevious")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_builditemiterator_moveprevious = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditemiterator_getcurrent")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_builditemiterator_getcurrent = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditemiterator_clone")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_builditemiterator_clone = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_builditemiterator_count")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_builditemiterator_count = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_setvertices")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Position2D)) self.lib.lib3mf_slice_setvertices = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_getvertices")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Position2D)) self.lib.lib3mf_slice_getvertices = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_getvertexcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_slice_getvertexcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_addpolygon")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_slice_addpolygon = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_getpolygoncount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_slice_getpolygoncount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_setpolygonindices")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_slice_setpolygonindices = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_getpolygonindices")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_slice_getpolygonindices = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_getpolygonindexcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_slice_getpolygonindexcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slice_getztop")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_double)) self.lib.lib3mf_slice_getztop = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_getbottomz")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_double)) self.lib.lib3mf_slicestack_getbottomz = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_getslicecount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_slicestack_getslicecount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_getslice")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_slicestack_getslice = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_addslice")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_double, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_slicestack_addslice = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_getslicerefcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_slicestack_getslicerefcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_addslicestackreference")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_slicestack_addslicestackreference = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_getslicestackreference")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_slicestack_getslicestackreference = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_collapseslicereferences")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p) self.lib.lib3mf_slicestack_collapseslicereferences = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_setownpath")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_slicestack_setownpath = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_slicestack_getownpath")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_slicestack_getownpath = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_consumer_getconsumerid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_consumer_getconsumerid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_consumer_getkeyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_consumer_getkeyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_consumer_getkeyvalue")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_consumer_getkeyvalue = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_accessright_getconsumer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_accessright_getconsumer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_accessright_getwrappingalgorithm")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_accessright_getwrappingalgorithm = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_accessright_getmgfalgorithm")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_accessright_getmgfalgorithm = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_accessright_getdigestmethod")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_accessright_getdigestmethod = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_getencryptionalgorithm")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_contentencryptionparams_getencryptionalgorithm = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_getkey")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_contentencryptionparams_getkey = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_getinitializationvector")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_contentencryptionparams_getinitializationvector = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_getauthenticationtag")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_contentencryptionparams_getauthenticationtag = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_setauthenticationtag")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_contentencryptionparams_setauthenticationtag = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_getadditionalauthenticationdata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_contentencryptionparams_getadditionalauthenticationdata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_getdescriptor")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_contentencryptionparams_getdescriptor = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_contentencryptionparams_getkeyuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_contentencryptionparams_getkeyuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedata_getpath")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_resourcedata_getpath = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedata_getencryptionalgorithm")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_resourcedata_getencryptionalgorithm = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedata_getcompression")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_resourcedata_getcompression = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedata_getadditionalauthenticationdata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)) self.lib.lib3mf_resourcedata_getadditionalauthenticationdata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedatagroup_getkeyuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_resourcedatagroup_getkeyuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedatagroup_addaccessright")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, WrappingAlgorithm, MgfAlgorithm, DigestMethod, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_resourcedatagroup_addaccessright = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedatagroup_findaccessrightbyconsumer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_resourcedatagroup_findaccessrightbyconsumer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_resourcedatagroup_removeaccessright")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_resourcedatagroup_removeaccessright = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_addconsumer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_addconsumer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_getconsumercount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_keystore_getconsumercount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_getconsumer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_getconsumer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_removeconsumer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_keystore_removeconsumer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_findconsumer")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_findconsumer = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_getresourcedatagroupcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_keystore_getresourcedatagroupcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_addresourcedatagroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_addresourcedatagroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_getresourcedatagroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_getresourcedatagroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_removeresourcedatagroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_keystore_removeresourcedatagroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_findresourcedatagroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_findresourcedatagroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_addresourcedata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.c_void_p, EncryptionAlgorithm, Compression, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_addresourcedata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_removeresourcedata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_keystore_removeresourcedata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_findresourcedata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_findresourcedata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_getresourcedatacount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)) self.lib.lib3mf_keystore_getresourcedatacount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_getresourcedata")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_keystore_getresourcedata = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_getuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_keystore_getuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_keystore_setuuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_keystore_setuuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_rootmodelpart")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_rootmodelpart = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_findorcreatepackagepart")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_findorcreatepackagepart = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_setunit")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ModelUnit) self.lib.lib3mf_model_setunit = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getunit")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_model_getunit = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getlanguage")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_model_getlanguage = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_setlanguage")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_model_setlanguage = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_querywriter")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_querywriter = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_queryreader")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_queryreader = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_gettexture2dbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_gettexture2dbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getpropertytypebyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_int32)) self.lib.lib3mf_model_getpropertytypebyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getbasematerialgroupbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getbasematerialgroupbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_gettexture2dgroupbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_gettexture2dgroupbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getcompositematerialsbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getcompositematerialsbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getmultipropertygroupbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getmultipropertygroupbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getmeshobjectbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getmeshobjectbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getcomponentsobjectbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getcomponentsobjectbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getcolorgroupbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getcolorgroupbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getslicestackbyid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getslicestackbyid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getbuilduuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p) self.lib.lib3mf_model_getbuilduuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_setbuilduuid")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_model_setbuilduuid = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getbuilditems")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getbuilditems = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getoutbox")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(Box)) self.lib.lib3mf_model_getoutbox = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getresources")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getresources = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getobjects")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getobjects = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getmeshobjects")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getmeshobjects = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getcomponentsobjects")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getcomponentsobjects = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_gettexture2ds")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_gettexture2ds = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getbasematerialgroups")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getbasematerialgroups = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getcolorgroups")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getcolorgroups = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_gettexture2dgroups")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_gettexture2dgroups = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getcompositematerials")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getcompositematerials = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getmultipropertygroups")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getmultipropertygroups = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getslicestacks")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getslicestacks = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_mergetomodel")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_mergetomodel = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addmeshobject")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addmeshobject = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addcomponentsobject")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addcomponentsobject = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addslicestack")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_double, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addslicestack = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addtexture2dfromattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addtexture2dfromattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addbasematerialgroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addbasematerialgroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addcolorgroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addcolorgroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addtexture2dgroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addtexture2dgroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addcompositematerials")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addcompositematerials = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addmultipropertygroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addmultipropertygroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addbuilditem")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(Transform), ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addbuilditem = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_removebuilditem")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_model_removebuilditem = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getmetadatagroup")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getmetadatagroup = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_addattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_removeattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p) self.lib.lib3mf_model_removeattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_findattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_findattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getattachmentcount")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)) self.lib.lib3mf_model_getattachmentcount = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_haspackagethumbnailattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)) self.lib.lib3mf_model_haspackagethumbnailattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_createpackagethumbnailattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_createpackagethumbnailattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getpackagethumbnailattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getpackagethumbnailattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_removepackagethumbnailattachment")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p) self.lib.lib3mf_model_removepackagethumbnailattachment = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_addcustomcontenttype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p) self.lib.lib3mf_model_addcustomcontenttype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_removecustomcontenttype")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.c_char_p) self.lib.lib3mf_model_removecustomcontenttype = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_setrandomnumbercallback")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, RandomNumberCallback, ctypes.c_void_p) self.lib.lib3mf_model_setrandomnumbercallback = methodType(int(methodAddress.value)) err = symbolLookupMethod(ctypes.c_char_p(str.encode("lib3mf_model_getkeystore")), methodAddress) if err != 0: raise ELib3MFException(ErrorCodes.COULDNOTLOADLIBRARY, str(err)) methodType = ctypes.CFUNCTYPE(ctypes.c_int32, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)) self.lib.lib3mf_model_getkeystore = methodType(int(methodAddress.value)) except AttributeError as ae: raise ELib3MFException(ErrorCodes.COULDNOTFINDLIBRARYEXPORT, ae.args[0]) def _loadFunctionTable(self): try: self.lib.lib3mf_getlibraryversion.restype = ctypes.c_int32 self.lib.lib3mf_getlibraryversion.argtypes = [ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_getprereleaseinformation.restype = ctypes.c_int32 self.lib.lib3mf_getprereleaseinformation.argtypes = [ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_getbuildinformation.restype = ctypes.c_int32 self.lib.lib3mf_getbuildinformation.argtypes = [ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_getspecificationversion.restype = ctypes.c_int32 self.lib.lib3mf_getspecificationversion.argtypes = [ctypes.c_char_p, ctypes.POINTER(ctypes.c_bool), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_createmodel.restype = ctypes.c_int32 self.lib.lib3mf_createmodel.argtypes = [ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_release.restype = ctypes.c_int32 self.lib.lib3mf_release.argtypes = [ctypes.c_void_p] self.lib.lib3mf_acquire.restype = ctypes.c_int32 self.lib.lib3mf_acquire.argtypes = [ctypes.c_void_p] self.lib.lib3mf_setjournal.restype = ctypes.c_int32 self.lib.lib3mf_setjournal.argtypes = [ctypes.c_char_p] self.lib.lib3mf_getlasterror.restype = ctypes.c_int32 self.lib.lib3mf_getlasterror.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_getsymbollookupmethod.restype = ctypes.c_int32 self.lib.lib3mf_getsymbollookupmethod.argtypes = [ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_retrieveprogressmessage.restype = ctypes.c_int32 self.lib.lib3mf_retrieveprogressmessage.argtypes = [ProgressIdentifier, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_rgbatocolor.restype = ctypes.c_int32 self.lib.lib3mf_rgbatocolor.argtypes = [ctypes.c_uint8, ctypes.c_uint8, ctypes.c_uint8, ctypes.c_uint8, ctypes.POINTER(Color)] self.lib.lib3mf_floatrgbatocolor.restype = ctypes.c_int32 self.lib.lib3mf_floatrgbatocolor.argtypes = [ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.POINTER(Color)] self.lib.lib3mf_colortorgba.restype = ctypes.c_int32 self.lib.lib3mf_colortorgba.argtypes = [ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_colortofloatrgba.restype = ctypes.c_int32 self.lib.lib3mf_colortofloatrgba.argtypes = [ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float)] self.lib.lib3mf_getidentitytransform.restype = ctypes.c_int32 self.lib.lib3mf_getidentitytransform.argtypes = [ctypes.POINTER(Transform)] self.lib.lib3mf_getuniformscaletransform.restype = ctypes.c_int32 self.lib.lib3mf_getuniformscaletransform.argtypes = [ctypes.c_float, ctypes.POINTER(Transform)] self.lib.lib3mf_getscaletransform.restype = ctypes.c_int32 self.lib.lib3mf_getscaletransform.argtypes = [ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.POINTER(Transform)] self.lib.lib3mf_gettranslationtransform.restype = ctypes.c_int32 self.lib.lib3mf_gettranslationtransform.argtypes = [ctypes.c_float, ctypes.c_float, ctypes.c_float, ctypes.POINTER(Transform)] self.lib.lib3mf_writer_writetofile.restype = ctypes.c_int32 self.lib.lib3mf_writer_writetofile.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_writer_getstreamsize.restype = ctypes.c_int32 self.lib.lib3mf_writer_getstreamsize.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_writer_writetobuffer.restype = ctypes.c_int32 self.lib.lib3mf_writer_writetobuffer.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_writer_writetocallback.restype = ctypes.c_int32 self.lib.lib3mf_writer_writetocallback.argtypes = [ctypes.c_void_p, WriteCallback, SeekCallback, ctypes.c_void_p] self.lib.lib3mf_writer_setprogresscallback.restype = ctypes.c_int32 self.lib.lib3mf_writer_setprogresscallback.argtypes = [ctypes.c_void_p, ProgressCallback, ctypes.c_void_p] self.lib.lib3mf_writer_getdecimalprecision.restype = ctypes.c_int32 self.lib.lib3mf_writer_getdecimalprecision.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_writer_setdecimalprecision.restype = ctypes.c_int32 self.lib.lib3mf_writer_setdecimalprecision.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_writer_setstrictmodeactive.restype = ctypes.c_int32 self.lib.lib3mf_writer_setstrictmodeactive.argtypes = [ctypes.c_void_p, ctypes.c_bool] self.lib.lib3mf_writer_getstrictmodeactive.restype = ctypes.c_int32 self.lib.lib3mf_writer_getstrictmodeactive.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_writer_getwarning.restype = ctypes.c_int32 self.lib.lib3mf_writer_getwarning.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_uint32), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_writer_getwarningcount.restype = ctypes.c_int32 self.lib.lib3mf_writer_getwarningcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_writer_addkeywrappingcallback.restype = ctypes.c_int32 self.lib.lib3mf_writer_addkeywrappingcallback.argtypes = [ctypes.c_void_p, ctypes.c_char_p, KeyWrappingCallback, ctypes.c_void_p] self.lib.lib3mf_writer_setcontentencryptioncallback.restype = ctypes.c_int32 self.lib.lib3mf_writer_setcontentencryptioncallback.argtypes = [ctypes.c_void_p, ContentEncryptionCallback, ctypes.c_void_p] self.lib.lib3mf_reader_readfromfile.restype = ctypes.c_int32 self.lib.lib3mf_reader_readfromfile.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_reader_readfrombuffer.restype = ctypes.c_int32 self.lib.lib3mf_reader_readfrombuffer.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_reader_readfromcallback.restype = ctypes.c_int32 self.lib.lib3mf_reader_readfromcallback.argtypes = [ctypes.c_void_p, ReadCallback, ctypes.c_uint64, SeekCallback, ctypes.c_void_p] self.lib.lib3mf_reader_setprogresscallback.restype = ctypes.c_int32 self.lib.lib3mf_reader_setprogresscallback.argtypes = [ctypes.c_void_p, ProgressCallback, ctypes.c_void_p] self.lib.lib3mf_reader_addrelationtoread.restype = ctypes.c_int32 self.lib.lib3mf_reader_addrelationtoread.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_reader_removerelationtoread.restype = ctypes.c_int32 self.lib.lib3mf_reader_removerelationtoread.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_reader_setstrictmodeactive.restype = ctypes.c_int32 self.lib.lib3mf_reader_setstrictmodeactive.argtypes = [ctypes.c_void_p, ctypes.c_bool] self.lib.lib3mf_reader_getstrictmodeactive.restype = ctypes.c_int32 self.lib.lib3mf_reader_getstrictmodeactive.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_reader_getwarning.restype = ctypes.c_int32 self.lib.lib3mf_reader_getwarning.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_uint32), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_reader_getwarningcount.restype = ctypes.c_int32 self.lib.lib3mf_reader_getwarningcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_reader_addkeywrappingcallback.restype = ctypes.c_int32 self.lib.lib3mf_reader_addkeywrappingcallback.argtypes = [ctypes.c_void_p, ctypes.c_char_p, KeyWrappingCallback, ctypes.c_void_p] self.lib.lib3mf_reader_setcontentencryptioncallback.restype = ctypes.c_int32 self.lib.lib3mf_reader_setcontentencryptioncallback.argtypes = [ctypes.c_void_p, ContentEncryptionCallback, ctypes.c_void_p] self.lib.lib3mf_packagepart_getpath.restype = ctypes.c_int32 self.lib.lib3mf_packagepart_getpath.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_packagepart_setpath.restype = ctypes.c_int32 self.lib.lib3mf_packagepart_setpath.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_resource_getresourceid.restype = ctypes.c_int32 self.lib.lib3mf_resource_getresourceid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_resource_getuniqueresourceid.restype = ctypes.c_int32 self.lib.lib3mf_resource_getuniqueresourceid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_resource_packagepart.restype = ctypes.c_int32 self.lib.lib3mf_resource_packagepart.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_resource_setpackagepart.restype = ctypes.c_int32 self.lib.lib3mf_resource_setpackagepart.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_resource_getmodelresourceid.restype = ctypes.c_int32 self.lib.lib3mf_resource_getmodelresourceid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_resourceiterator_movenext.restype = ctypes.c_int32 self.lib.lib3mf_resourceiterator_movenext.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_resourceiterator_moveprevious.restype = ctypes.c_int32 self.lib.lib3mf_resourceiterator_moveprevious.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_resourceiterator_getcurrent.restype = ctypes.c_int32 self.lib.lib3mf_resourceiterator_getcurrent.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_resourceiterator_clone.restype = ctypes.c_int32 self.lib.lib3mf_resourceiterator_clone.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_resourceiterator_count.restype = ctypes.c_int32 self.lib.lib3mf_resourceiterator_count.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slicestackiterator_getcurrentslicestack.restype = ctypes.c_int32 self.lib.lib3mf_slicestackiterator_getcurrentslicestack.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_objectiterator_getcurrentobject.restype = ctypes.c_int32 self.lib.lib3mf_objectiterator_getcurrentobject.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_meshobjectiterator_getcurrentmeshobject.restype = ctypes.c_int32 self.lib.lib3mf_meshobjectiterator_getcurrentmeshobject.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_componentsobjectiterator_getcurrentcomponentsobject.restype = ctypes.c_int32 self.lib.lib3mf_componentsobjectiterator_getcurrentcomponentsobject.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_texture2diterator_getcurrenttexture2d.restype = ctypes.c_int32 self.lib.lib3mf_texture2diterator_getcurrenttexture2d.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_basematerialgroupiterator_getcurrentbasematerialgroup.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroupiterator_getcurrentbasematerialgroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_colorgroupiterator_getcurrentcolorgroup.restype = ctypes.c_int32 self.lib.lib3mf_colorgroupiterator_getcurrentcolorgroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_texture2dgroupiterator_getcurrenttexture2dgroup.restype = ctypes.c_int32 self.lib.lib3mf_texture2dgroupiterator_getcurrenttexture2dgroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_compositematerialsiterator_getcurrentcompositematerials.restype = ctypes.c_int32 self.lib.lib3mf_compositematerialsiterator_getcurrentcompositematerials.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_multipropertygroupiterator_getcurrentmultipropertygroup.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroupiterator_getcurrentmultipropertygroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_metadata_getnamespace.restype = ctypes.c_int32 self.lib.lib3mf_metadata_getnamespace.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_metadata_setnamespace.restype = ctypes.c_int32 self.lib.lib3mf_metadata_setnamespace.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_metadata_getname.restype = ctypes.c_int32 self.lib.lib3mf_metadata_getname.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_metadata_setname.restype = ctypes.c_int32 self.lib.lib3mf_metadata_setname.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_metadata_getkey.restype = ctypes.c_int32 self.lib.lib3mf_metadata_getkey.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_metadata_getmustpreserve.restype = ctypes.c_int32 self.lib.lib3mf_metadata_getmustpreserve.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_metadata_setmustpreserve.restype = ctypes.c_int32 self.lib.lib3mf_metadata_setmustpreserve.argtypes = [ctypes.c_void_p, ctypes.c_bool] self.lib.lib3mf_metadata_gettype.restype = ctypes.c_int32 self.lib.lib3mf_metadata_gettype.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_metadata_settype.restype = ctypes.c_int32 self.lib.lib3mf_metadata_settype.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_metadata_getvalue.restype = ctypes.c_int32 self.lib.lib3mf_metadata_getvalue.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_metadata_setvalue.restype = ctypes.c_int32 self.lib.lib3mf_metadata_setvalue.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_metadatagroup_getmetadatacount.restype = ctypes.c_int32 self.lib.lib3mf_metadatagroup_getmetadatacount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_metadatagroup_getmetadata.restype = ctypes.c_int32 self.lib.lib3mf_metadatagroup_getmetadata.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_metadatagroup_getmetadatabykey.restype = ctypes.c_int32 self.lib.lib3mf_metadatagroup_getmetadatabykey.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_metadatagroup_removemetadatabyindex.restype = ctypes.c_int32 self.lib.lib3mf_metadatagroup_removemetadatabyindex.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_metadatagroup_removemetadata.restype = ctypes.c_int32 self.lib.lib3mf_metadatagroup_removemetadata.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_metadatagroup_addmetadata.restype = ctypes.c_int32 self.lib.lib3mf_metadatagroup_addmetadata.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_bool, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_object_gettype.restype = ctypes.c_int32 self.lib.lib3mf_object_gettype.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_object_settype.restype = ctypes.c_int32 self.lib.lib3mf_object_settype.argtypes = [ctypes.c_void_p, ObjectType] self.lib.lib3mf_object_getname.restype = ctypes.c_int32 self.lib.lib3mf_object_getname.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_object_setname.restype = ctypes.c_int32 self.lib.lib3mf_object_setname.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_object_getpartnumber.restype = ctypes.c_int32 self.lib.lib3mf_object_getpartnumber.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_object_setpartnumber.restype = ctypes.c_int32 self.lib.lib3mf_object_setpartnumber.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_object_ismeshobject.restype = ctypes.c_int32 self.lib.lib3mf_object_ismeshobject.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_object_iscomponentsobject.restype = ctypes.c_int32 self.lib.lib3mf_object_iscomponentsobject.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_object_isvalid.restype = ctypes.c_int32 self.lib.lib3mf_object_isvalid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_object_setattachmentasthumbnail.restype = ctypes.c_int32 self.lib.lib3mf_object_setattachmentasthumbnail.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_object_getthumbnailattachment.restype = ctypes.c_int32 self.lib.lib3mf_object_getthumbnailattachment.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_object_clearthumbnailattachment.restype = ctypes.c_int32 self.lib.lib3mf_object_clearthumbnailattachment.argtypes = [ctypes.c_void_p] self.lib.lib3mf_object_getoutbox.restype = ctypes.c_int32 self.lib.lib3mf_object_getoutbox.argtypes = [ctypes.c_void_p, ctypes.POINTER(Box)] self.lib.lib3mf_object_getuuid.restype = ctypes.c_int32 self.lib.lib3mf_object_getuuid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_object_setuuid.restype = ctypes.c_int32 self.lib.lib3mf_object_setuuid.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_object_getmetadatagroup.restype = ctypes.c_int32 self.lib.lib3mf_object_getmetadatagroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_object_setslicesmeshresolution.restype = ctypes.c_int32 self.lib.lib3mf_object_setslicesmeshresolution.argtypes = [ctypes.c_void_p, SlicesMeshResolution] self.lib.lib3mf_object_getslicesmeshresolution.restype = ctypes.c_int32 self.lib.lib3mf_object_getslicesmeshresolution.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_object_hasslices.restype = ctypes.c_int32 self.lib.lib3mf_object_hasslices.argtypes = [ctypes.c_void_p, ctypes.c_bool, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_object_clearslicestack.restype = ctypes.c_int32 self.lib.lib3mf_object_clearslicestack.argtypes = [ctypes.c_void_p] self.lib.lib3mf_object_getslicestack.restype = ctypes.c_int32 self.lib.lib3mf_object_getslicestack.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_object_assignslicestack.restype = ctypes.c_int32 self.lib.lib3mf_object_assignslicestack.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_meshobject_getvertexcount.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_getvertexcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_meshobject_gettrianglecount.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_gettrianglecount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_meshobject_getvertex.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_getvertex.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Position)] self.lib.lib3mf_meshobject_setvertex.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_setvertex.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Position)] self.lib.lib3mf_meshobject_addvertex.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_addvertex.argtypes = [ctypes.c_void_p, ctypes.POINTER(Position), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_meshobject_getvertices.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_getvertices.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Position)] self.lib.lib3mf_meshobject_gettriangle.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_gettriangle.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Triangle)] self.lib.lib3mf_meshobject_settriangle.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_settriangle.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Triangle)] self.lib.lib3mf_meshobject_addtriangle.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_addtriangle.argtypes = [ctypes.c_void_p, ctypes.POINTER(Triangle), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_meshobject_gettriangleindices.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_gettriangleindices.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Triangle)] self.lib.lib3mf_meshobject_setobjectlevelproperty.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_setobjectlevelproperty.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint32] self.lib.lib3mf_meshobject_getobjectlevelproperty.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_getobjectlevelproperty.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_meshobject_settriangleproperties.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_settriangleproperties.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(TriangleProperties)] self.lib.lib3mf_meshobject_gettriangleproperties.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_gettriangleproperties.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(TriangleProperties)] self.lib.lib3mf_meshobject_setalltriangleproperties.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_setalltriangleproperties.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(TriangleProperties)] self.lib.lib3mf_meshobject_getalltriangleproperties.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_getalltriangleproperties.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(TriangleProperties)] self.lib.lib3mf_meshobject_clearallproperties.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_clearallproperties.argtypes = [ctypes.c_void_p] self.lib.lib3mf_meshobject_setgeometry.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_setgeometry.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Position), ctypes.c_uint64, ctypes.POINTER(Triangle)] self.lib.lib3mf_meshobject_ismanifoldandoriented.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_ismanifoldandoriented.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_meshobject_beamlattice.restype = ctypes.c_int32 self.lib.lib3mf_meshobject_beamlattice.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_beamlattice_getminlength.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getminlength.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_double)] self.lib.lib3mf_beamlattice_setminlength.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setminlength.argtypes = [ctypes.c_void_p, ctypes.c_double] self.lib.lib3mf_beamlattice_getclipping.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getclipping.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamlattice_setclipping.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setclipping.argtypes = [ctypes.c_void_p, BeamLatticeClipMode, ctypes.c_uint32] self.lib.lib3mf_beamlattice_getrepresentation.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getrepresentation.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamlattice_setrepresentation.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setrepresentation.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_beamlattice_getballoptions.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getballoptions.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32), ctypes.POINTER(ctypes.c_double)] self.lib.lib3mf_beamlattice_setballoptions.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setballoptions.argtypes = [ctypes.c_void_p, BeamLatticeBallMode, ctypes.c_double] self.lib.lib3mf_beamlattice_getbeamcount.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getbeamcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamlattice_getbeam.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getbeam.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Beam)] self.lib.lib3mf_beamlattice_addbeam.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_addbeam.argtypes = [ctypes.c_void_p, ctypes.POINTER(Beam), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamlattice_setbeam.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setbeam.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Beam)] self.lib.lib3mf_beamlattice_setbeams.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setbeams.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Beam)] self.lib.lib3mf_beamlattice_getbeams.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getbeams.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Beam)] self.lib.lib3mf_beamlattice_getballcount.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getballcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamlattice_getball.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getball.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Ball)] self.lib.lib3mf_beamlattice_addball.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_addball.argtypes = [ctypes.c_void_p, ctypes.POINTER(Ball), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamlattice_setball.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setball.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Ball)] self.lib.lib3mf_beamlattice_setballs.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_setballs.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Ball)] self.lib.lib3mf_beamlattice_getballs.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getballs.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Ball)] self.lib.lib3mf_beamlattice_getbeamsetcount.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getbeamsetcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamlattice_addbeamset.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_addbeamset.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_beamlattice_getbeamset.restype = ctypes.c_int32 self.lib.lib3mf_beamlattice_getbeamset.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_component_getobjectresource.restype = ctypes.c_int32 self.lib.lib3mf_component_getobjectresource.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_component_getobjectresourceid.restype = ctypes.c_int32 self.lib.lib3mf_component_getobjectresourceid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_component_getuuid.restype = ctypes.c_int32 self.lib.lib3mf_component_getuuid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_component_setuuid.restype = ctypes.c_int32 self.lib.lib3mf_component_setuuid.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_component_hastransform.restype = ctypes.c_int32 self.lib.lib3mf_component_hastransform.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_component_gettransform.restype = ctypes.c_int32 self.lib.lib3mf_component_gettransform.argtypes = [ctypes.c_void_p, ctypes.POINTER(Transform)] self.lib.lib3mf_component_settransform.restype = ctypes.c_int32 self.lib.lib3mf_component_settransform.argtypes = [ctypes.c_void_p, ctypes.POINTER(Transform)] self.lib.lib3mf_componentsobject_addcomponent.restype = ctypes.c_int32 self.lib.lib3mf_componentsobject_addcomponent.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(Transform), ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_componentsobject_getcomponent.restype = ctypes.c_int32 self.lib.lib3mf_componentsobject_getcomponent.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_componentsobject_getcomponentcount.restype = ctypes.c_int32 self.lib.lib3mf_componentsobject_getcomponentcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamset_setname.restype = ctypes.c_int32 self.lib.lib3mf_beamset_setname.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_beamset_getname.restype = ctypes.c_int32 self.lib.lib3mf_beamset_getname.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_beamset_setidentifier.restype = ctypes.c_int32 self.lib.lib3mf_beamset_setidentifier.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_beamset_getidentifier.restype = ctypes.c_int32 self.lib.lib3mf_beamset_getidentifier.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_beamset_getreferencecount.restype = ctypes.c_int32 self.lib.lib3mf_beamset_getreferencecount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamset_setreferences.restype = ctypes.c_int32 self.lib.lib3mf_beamset_setreferences.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamset_getreferences.restype = ctypes.c_int32 self.lib.lib3mf_beamset_getreferences.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamset_getballreferencecount.restype = ctypes.c_int32 self.lib.lib3mf_beamset_getballreferencecount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamset_setballreferences.restype = ctypes.c_int32 self.lib.lib3mf_beamset_setballreferences.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_beamset_getballreferences.restype = ctypes.c_int32 self.lib.lib3mf_beamset_getballreferences.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_basematerialgroup_getcount.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_getcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_basematerialgroup_getallpropertyids.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_getallpropertyids.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_basematerialgroup_addmaterial.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_addmaterial.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_basematerialgroup_removematerial.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_removematerial.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_basematerialgroup_getname.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_getname.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_basematerialgroup_setname.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_setname.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_char_p] self.lib.lib3mf_basematerialgroup_setdisplaycolor.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_setdisplaycolor.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)] self.lib.lib3mf_basematerialgroup_getdisplaycolor.restype = ctypes.c_int32 self.lib.lib3mf_basematerialgroup_getdisplaycolor.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)] self.lib.lib3mf_colorgroup_getcount.restype = ctypes.c_int32 self.lib.lib3mf_colorgroup_getcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_colorgroup_getallpropertyids.restype = ctypes.c_int32 self.lib.lib3mf_colorgroup_getallpropertyids.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_colorgroup_addcolor.restype = ctypes.c_int32 self.lib.lib3mf_colorgroup_addcolor.argtypes = [ctypes.c_void_p, ctypes.POINTER(Color), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_colorgroup_removecolor.restype = ctypes.c_int32 self.lib.lib3mf_colorgroup_removecolor.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_colorgroup_setcolor.restype = ctypes.c_int32 self.lib.lib3mf_colorgroup_setcolor.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)] self.lib.lib3mf_colorgroup_getcolor.restype = ctypes.c_int32 self.lib.lib3mf_colorgroup_getcolor.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Color)] self.lib.lib3mf_texture2dgroup_getcount.restype = ctypes.c_int32 self.lib.lib3mf_texture2dgroup_getcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_texture2dgroup_getallpropertyids.restype = ctypes.c_int32 self.lib.lib3mf_texture2dgroup_getallpropertyids.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_texture2dgroup_addtex2coord.restype = ctypes.c_int32 self.lib.lib3mf_texture2dgroup_addtex2coord.argtypes = [ctypes.c_void_p, ctypes.POINTER(Tex2Coord), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_texture2dgroup_gettex2coord.restype = ctypes.c_int32 self.lib.lib3mf_texture2dgroup_gettex2coord.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(Tex2Coord)] self.lib.lib3mf_texture2dgroup_removetex2coord.restype = ctypes.c_int32 self.lib.lib3mf_texture2dgroup_removetex2coord.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_texture2dgroup_gettexture2d.restype = ctypes.c_int32 self.lib.lib3mf_texture2dgroup_gettexture2d.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_compositematerials_getcount.restype = ctypes.c_int32 self.lib.lib3mf_compositematerials_getcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_compositematerials_getallpropertyids.restype = ctypes.c_int32 self.lib.lib3mf_compositematerials_getallpropertyids.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_compositematerials_getbasematerialgroup.restype = ctypes.c_int32 self.lib.lib3mf_compositematerials_getbasematerialgroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_compositematerials_addcomposite.restype = ctypes.c_int32 self.lib.lib3mf_compositematerials_addcomposite.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(CompositeConstituent), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_compositematerials_removecomposite.restype = ctypes.c_int32 self.lib.lib3mf_compositematerials_removecomposite.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_compositematerials_getcomposite.restype = ctypes.c_int32 self.lib.lib3mf_compositematerials_getcomposite.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(CompositeConstituent)] self.lib.lib3mf_multipropertygroup_getcount.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_getcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_multipropertygroup_getallpropertyids.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_getallpropertyids.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_multipropertygroup_addmultiproperty.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_addmultiproperty.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_multipropertygroup_setmultiproperty.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_setmultiproperty.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_multipropertygroup_getmultiproperty.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_getmultiproperty.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_multipropertygroup_removemultiproperty.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_removemultiproperty.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_multipropertygroup_getlayercount.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_getlayercount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_multipropertygroup_addlayer.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_addlayer.argtypes = [ctypes.c_void_p, ctypes.POINTER(MultiPropertyLayer), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_multipropertygroup_getlayer.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_getlayer.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(MultiPropertyLayer)] self.lib.lib3mf_multipropertygroup_removelayer.restype = ctypes.c_int32 self.lib.lib3mf_multipropertygroup_removelayer.argtypes = [ctypes.c_void_p, ctypes.c_uint32] self.lib.lib3mf_attachment_getpath.restype = ctypes.c_int32 self.lib.lib3mf_attachment_getpath.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_attachment_setpath.restype = ctypes.c_int32 self.lib.lib3mf_attachment_setpath.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_attachment_packagepart.restype = ctypes.c_int32 self.lib.lib3mf_attachment_packagepart.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_attachment_getrelationshiptype.restype = ctypes.c_int32 self.lib.lib3mf_attachment_getrelationshiptype.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_attachment_setrelationshiptype.restype = ctypes.c_int32 self.lib.lib3mf_attachment_setrelationshiptype.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_attachment_writetofile.restype = ctypes.c_int32 self.lib.lib3mf_attachment_writetofile.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_attachment_readfromfile.restype = ctypes.c_int32 self.lib.lib3mf_attachment_readfromfile.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_attachment_readfromcallback.restype = ctypes.c_int32 self.lib.lib3mf_attachment_readfromcallback.argtypes = [ctypes.c_void_p, ReadCallback, ctypes.c_uint64, SeekCallback, ctypes.c_void_p] self.lib.lib3mf_attachment_getstreamsize.restype = ctypes.c_int32 self.lib.lib3mf_attachment_getstreamsize.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_attachment_writetobuffer.restype = ctypes.c_int32 self.lib.lib3mf_attachment_writetobuffer.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_attachment_readfrombuffer.restype = ctypes.c_int32 self.lib.lib3mf_attachment_readfrombuffer.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_texture2d_getattachment.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_getattachment.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_texture2d_setattachment.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_setattachment.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_texture2d_getcontenttype.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_getcontenttype.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_texture2d_setcontenttype.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_setcontenttype.argtypes = [ctypes.c_void_p, TextureType] self.lib.lib3mf_texture2d_gettilestyleuv.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_gettilestyleuv.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32), ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_texture2d_settilestyleuv.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_settilestyleuv.argtypes = [ctypes.c_void_p, TextureTileStyle, TextureTileStyle] self.lib.lib3mf_texture2d_getfilter.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_getfilter.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_texture2d_setfilter.restype = ctypes.c_int32 self.lib.lib3mf_texture2d_setfilter.argtypes = [ctypes.c_void_p, TextureFilter] self.lib.lib3mf_builditem_getobjectresource.restype = ctypes.c_int32 self.lib.lib3mf_builditem_getobjectresource.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_builditem_getuuid.restype = ctypes.c_int32 self.lib.lib3mf_builditem_getuuid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_builditem_setuuid.restype = ctypes.c_int32 self.lib.lib3mf_builditem_setuuid.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_builditem_getobjectresourceid.restype = ctypes.c_int32 self.lib.lib3mf_builditem_getobjectresourceid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_builditem_hasobjecttransform.restype = ctypes.c_int32 self.lib.lib3mf_builditem_hasobjecttransform.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_builditem_getobjecttransform.restype = ctypes.c_int32 self.lib.lib3mf_builditem_getobjecttransform.argtypes = [ctypes.c_void_p, ctypes.POINTER(Transform)] self.lib.lib3mf_builditem_setobjecttransform.restype = ctypes.c_int32 self.lib.lib3mf_builditem_setobjecttransform.argtypes = [ctypes.c_void_p, ctypes.POINTER(Transform)] self.lib.lib3mf_builditem_getpartnumber.restype = ctypes.c_int32 self.lib.lib3mf_builditem_getpartnumber.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_builditem_setpartnumber.restype = ctypes.c_int32 self.lib.lib3mf_builditem_setpartnumber.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_builditem_getmetadatagroup.restype = ctypes.c_int32 self.lib.lib3mf_builditem_getmetadatagroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_builditem_getoutbox.restype = ctypes.c_int32 self.lib.lib3mf_builditem_getoutbox.argtypes = [ctypes.c_void_p, ctypes.POINTER(Box)] self.lib.lib3mf_builditemiterator_movenext.restype = ctypes.c_int32 self.lib.lib3mf_builditemiterator_movenext.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_builditemiterator_moveprevious.restype = ctypes.c_int32 self.lib.lib3mf_builditemiterator_moveprevious.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_builditemiterator_getcurrent.restype = ctypes.c_int32 self.lib.lib3mf_builditemiterator_getcurrent.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_builditemiterator_clone.restype = ctypes.c_int32 self.lib.lib3mf_builditemiterator_clone.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_builditemiterator_count.restype = ctypes.c_int32 self.lib.lib3mf_builditemiterator_count.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slice_setvertices.restype = ctypes.c_int32 self.lib.lib3mf_slice_setvertices.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(Position2D)] self.lib.lib3mf_slice_getvertices.restype = ctypes.c_int32 self.lib.lib3mf_slice_getvertices.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(Position2D)] self.lib.lib3mf_slice_getvertexcount.restype = ctypes.c_int32 self.lib.lib3mf_slice_getvertexcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slice_addpolygon.restype = ctypes.c_int32 self.lib.lib3mf_slice_addpolygon.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32), ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slice_getpolygoncount.restype = ctypes.c_int32 self.lib.lib3mf_slice_getpolygoncount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slice_setpolygonindices.restype = ctypes.c_int32 self.lib.lib3mf_slice_setpolygonindices.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_slice_getpolygonindices.restype = ctypes.c_int32 self.lib.lib3mf_slice_getpolygonindices.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_slice_getpolygonindexcount.restype = ctypes.c_int32 self.lib.lib3mf_slice_getpolygonindexcount.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slice_getztop.restype = ctypes.c_int32 self.lib.lib3mf_slice_getztop.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_double)] self.lib.lib3mf_slicestack_getbottomz.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_getbottomz.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_double)] self.lib.lib3mf_slicestack_getslicecount.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_getslicecount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slicestack_getslice.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_getslice.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_slicestack_addslice.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_addslice.argtypes = [ctypes.c_void_p, ctypes.c_double, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_slicestack_getslicerefcount.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_getslicerefcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_slicestack_addslicestackreference.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_addslicestackreference.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_slicestack_getslicestackreference.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_getslicestackreference.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_slicestack_collapseslicereferences.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_collapseslicereferences.argtypes = [ctypes.c_void_p] self.lib.lib3mf_slicestack_setownpath.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_setownpath.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_slicestack_getownpath.restype = ctypes.c_int32 self.lib.lib3mf_slicestack_getownpath.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_consumer_getconsumerid.restype = ctypes.c_int32 self.lib.lib3mf_consumer_getconsumerid.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_consumer_getkeyid.restype = ctypes.c_int32 self.lib.lib3mf_consumer_getkeyid.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_consumer_getkeyvalue.restype = ctypes.c_int32 self.lib.lib3mf_consumer_getkeyvalue.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_accessright_getconsumer.restype = ctypes.c_int32 self.lib.lib3mf_accessright_getconsumer.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_accessright_getwrappingalgorithm.restype = ctypes.c_int32 self.lib.lib3mf_accessright_getwrappingalgorithm.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_accessright_getmgfalgorithm.restype = ctypes.c_int32 self.lib.lib3mf_accessright_getmgfalgorithm.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_accessright_getdigestmethod.restype = ctypes.c_int32 self.lib.lib3mf_accessright_getdigestmethod.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_contentencryptionparams_getencryptionalgorithm.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_getencryptionalgorithm.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_contentencryptionparams_getkey.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_getkey.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_contentencryptionparams_getinitializationvector.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_getinitializationvector.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_contentencryptionparams_getauthenticationtag.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_getauthenticationtag.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_contentencryptionparams_setauthenticationtag.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_setauthenticationtag.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_contentencryptionparams_getadditionalauthenticationdata.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_getadditionalauthenticationdata.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_contentencryptionparams_getdescriptor.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_getdescriptor.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_contentencryptionparams_getkeyuuid.restype = ctypes.c_int32 self.lib.lib3mf_contentencryptionparams_getkeyuuid.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_resourcedata_getpath.restype = ctypes.c_int32 self.lib.lib3mf_resourcedata_getpath.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_resourcedata_getencryptionalgorithm.restype = ctypes.c_int32 self.lib.lib3mf_resourcedata_getencryptionalgorithm.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_resourcedata_getcompression.restype = ctypes.c_int32 self.lib.lib3mf_resourcedata_getcompression.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_resourcedata_getadditionalauthenticationdata.restype = ctypes.c_int32 self.lib.lib3mf_resourcedata_getadditionalauthenticationdata.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.POINTER(ctypes.c_uint8)] self.lib.lib3mf_resourcedatagroup_getkeyuuid.restype = ctypes.c_int32 self.lib.lib3mf_resourcedatagroup_getkeyuuid.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_resourcedatagroup_addaccessright.restype = ctypes.c_int32 self.lib.lib3mf_resourcedatagroup_addaccessright.argtypes = [ctypes.c_void_p, ctypes.c_void_p, WrappingAlgorithm, MgfAlgorithm, DigestMethod, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_resourcedatagroup_findaccessrightbyconsumer.restype = ctypes.c_int32 self.lib.lib3mf_resourcedatagroup_findaccessrightbyconsumer.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_resourcedatagroup_removeaccessright.restype = ctypes.c_int32 self.lib.lib3mf_resourcedatagroup_removeaccessright.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_keystore_addconsumer.restype = ctypes.c_int32 self.lib.lib3mf_keystore_addconsumer.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_getconsumercount.restype = ctypes.c_int32 self.lib.lib3mf_keystore_getconsumercount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_keystore_getconsumer.restype = ctypes.c_int32 self.lib.lib3mf_keystore_getconsumer.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_removeconsumer.restype = ctypes.c_int32 self.lib.lib3mf_keystore_removeconsumer.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_keystore_findconsumer.restype = ctypes.c_int32 self.lib.lib3mf_keystore_findconsumer.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_getresourcedatagroupcount.restype = ctypes.c_int32 self.lib.lib3mf_keystore_getresourcedatagroupcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_keystore_addresourcedatagroup.restype = ctypes.c_int32 self.lib.lib3mf_keystore_addresourcedatagroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_getresourcedatagroup.restype = ctypes.c_int32 self.lib.lib3mf_keystore_getresourcedatagroup.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_removeresourcedatagroup.restype = ctypes.c_int32 self.lib.lib3mf_keystore_removeresourcedatagroup.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_keystore_findresourcedatagroup.restype = ctypes.c_int32 self.lib.lib3mf_keystore_findresourcedatagroup.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_addresourcedata.restype = ctypes.c_int32 self.lib.lib3mf_keystore_addresourcedata.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.c_void_p, EncryptionAlgorithm, Compression, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint8), ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_removeresourcedata.restype = ctypes.c_int32 self.lib.lib3mf_keystore_removeresourcedata.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_keystore_findresourcedata.restype = ctypes.c_int32 self.lib.lib3mf_keystore_findresourcedata.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_getresourcedatacount.restype = ctypes.c_int32 self.lib.lib3mf_keystore_getresourcedatacount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint64)] self.lib.lib3mf_keystore_getresourcedata.restype = ctypes.c_int32 self.lib.lib3mf_keystore_getresourcedata.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_keystore_getuuid.restype = ctypes.c_int32 self.lib.lib3mf_keystore_getuuid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_keystore_setuuid.restype = ctypes.c_int32 self.lib.lib3mf_keystore_setuuid.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_model_rootmodelpart.restype = ctypes.c_int32 self.lib.lib3mf_model_rootmodelpart.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_findorcreatepackagepart.restype = ctypes.c_int32 self.lib.lib3mf_model_findorcreatepackagepart.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_setunit.restype = ctypes.c_int32 self.lib.lib3mf_model_setunit.argtypes = [ctypes.c_void_p, ModelUnit] self.lib.lib3mf_model_getunit.restype = ctypes.c_int32 self.lib.lib3mf_model_getunit.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_model_getlanguage.restype = ctypes.c_int32 self.lib.lib3mf_model_getlanguage.argtypes = [ctypes.c_void_p, ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_model_setlanguage.restype = ctypes.c_int32 self.lib.lib3mf_model_setlanguage.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_model_querywriter.restype = ctypes.c_int32 self.lib.lib3mf_model_querywriter.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_queryreader.restype = ctypes.c_int32 self.lib.lib3mf_model_queryreader.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_gettexture2dbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_gettexture2dbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getpropertytypebyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getpropertytypebyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_int32)] self.lib.lib3mf_model_getbasematerialgroupbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getbasematerialgroupbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_gettexture2dgroupbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_gettexture2dgroupbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getcompositematerialsbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getcompositematerialsbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getmultipropertygroupbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getmultipropertygroupbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getmeshobjectbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getmeshobjectbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getcomponentsobjectbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getcomponentsobjectbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getcolorgroupbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getcolorgroupbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getslicestackbyid.restype = ctypes.c_int32 self.lib.lib3mf_model_getslicestackbyid.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getbuilduuid.restype = ctypes.c_int32 self.lib.lib3mf_model_getbuilduuid.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool), ctypes.c_uint64, ctypes.POINTER(ctypes.c_uint64), ctypes.c_char_p] self.lib.lib3mf_model_setbuilduuid.restype = ctypes.c_int32 self.lib.lib3mf_model_setbuilduuid.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_model_getbuilditems.restype = ctypes.c_int32 self.lib.lib3mf_model_getbuilditems.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getoutbox.restype = ctypes.c_int32 self.lib.lib3mf_model_getoutbox.argtypes = [ctypes.c_void_p, ctypes.POINTER(Box)] self.lib.lib3mf_model_getresources.restype = ctypes.c_int32 self.lib.lib3mf_model_getresources.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getobjects.restype = ctypes.c_int32 self.lib.lib3mf_model_getobjects.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getmeshobjects.restype = ctypes.c_int32 self.lib.lib3mf_model_getmeshobjects.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getcomponentsobjects.restype = ctypes.c_int32 self.lib.lib3mf_model_getcomponentsobjects.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_gettexture2ds.restype = ctypes.c_int32 self.lib.lib3mf_model_gettexture2ds.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getbasematerialgroups.restype = ctypes.c_int32 self.lib.lib3mf_model_getbasematerialgroups.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getcolorgroups.restype = ctypes.c_int32 self.lib.lib3mf_model_getcolorgroups.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_gettexture2dgroups.restype = ctypes.c_int32 self.lib.lib3mf_model_gettexture2dgroups.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getcompositematerials.restype = ctypes.c_int32 self.lib.lib3mf_model_getcompositematerials.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getmultipropertygroups.restype = ctypes.c_int32 self.lib.lib3mf_model_getmultipropertygroups.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getslicestacks.restype = ctypes.c_int32 self.lib.lib3mf_model_getslicestacks.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_mergetomodel.restype = ctypes.c_int32 self.lib.lib3mf_model_mergetomodel.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addmeshobject.restype = ctypes.c_int32 self.lib.lib3mf_model_addmeshobject.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addcomponentsobject.restype = ctypes.c_int32 self.lib.lib3mf_model_addcomponentsobject.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addslicestack.restype = ctypes.c_int32 self.lib.lib3mf_model_addslicestack.argtypes = [ctypes.c_void_p, ctypes.c_double, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addtexture2dfromattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_addtexture2dfromattachment.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addbasematerialgroup.restype = ctypes.c_int32 self.lib.lib3mf_model_addbasematerialgroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addcolorgroup.restype = ctypes.c_int32 self.lib.lib3mf_model_addcolorgroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addtexture2dgroup.restype = ctypes.c_int32 self.lib.lib3mf_model_addtexture2dgroup.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addcompositematerials.restype = ctypes.c_int32 self.lib.lib3mf_model_addcompositematerials.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addmultipropertygroup.restype = ctypes.c_int32 self.lib.lib3mf_model_addmultipropertygroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addbuilditem.restype = ctypes.c_int32 self.lib.lib3mf_model_addbuilditem.argtypes = [ctypes.c_void_p, ctypes.c_void_p, ctypes.POINTER(Transform), ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_removebuilditem.restype = ctypes.c_int32 self.lib.lib3mf_model_removebuilditem.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_model_getmetadatagroup.restype = ctypes.c_int32 self.lib.lib3mf_model_getmetadatagroup.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_addattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_addattachment.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_removeattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_removeattachment.argtypes = [ctypes.c_void_p, ctypes.c_void_p] self.lib.lib3mf_model_getattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_getattachment.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_findattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_findattachment.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getattachmentcount.restype = ctypes.c_int32 self.lib.lib3mf_model_getattachmentcount.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint32)] self.lib.lib3mf_model_haspackagethumbnailattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_haspackagethumbnailattachment.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_bool)] self.lib.lib3mf_model_createpackagethumbnailattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_createpackagethumbnailattachment.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_getpackagethumbnailattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_getpackagethumbnailattachment.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] self.lib.lib3mf_model_removepackagethumbnailattachment.restype = ctypes.c_int32 self.lib.lib3mf_model_removepackagethumbnailattachment.argtypes = [ctypes.c_void_p] self.lib.lib3mf_model_addcustomcontenttype.restype = ctypes.c_int32 self.lib.lib3mf_model_addcustomcontenttype.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_char_p] self.lib.lib3mf_model_removecustomcontenttype.restype = ctypes.c_int32 self.lib.lib3mf_model_removecustomcontenttype.argtypes = [ctypes.c_void_p, ctypes.c_char_p] self.lib.lib3mf_model_setrandomnumbercallback.restype = ctypes.c_int32 self.lib.lib3mf_model_setrandomnumbercallback.argtypes = [ctypes.c_void_p, RandomNumberCallback, ctypes.c_void_p] self.lib.lib3mf_model_getkeystore.restype = ctypes.c_int32 self.lib.lib3mf_model_getkeystore.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_void_p)] except AttributeError as ae: raise ELib3MFException(ErrorCodes.COULDNOTFINDLIBRARYEXPORT, ae.args[0]) def _checkBinaryVersion(self): nMajor, nMinor, _ = self.GetLibraryVersion() if (nMajor != BindingVersion.MAJOR) or (nMinor < BindingVersion.MINOR): raise ELib3MFException(ErrorCodes.INCOMPATIBLEBINARYVERSION) def checkError(self, instance, errorCode): if errorCode != ErrorCodes.SUCCESS.value: if instance: if instance._wrapper != self: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'invalid wrapper call') message,_ = self.GetLastError(instance) raise ELib3MFException(errorCode, message) def GetLibraryVersion(self): pMajor = ctypes.c_uint32() pMinor = ctypes.c_uint32() pMicro = ctypes.c_uint32() self.checkError(None, self.lib.lib3mf_getlibraryversion(pMajor, pMinor, pMicro)) return pMajor.value, pMinor.value, pMicro.value def GetPrereleaseInformation(self): pHasPrereleaseInfo = ctypes.c_bool() nPrereleaseInfoBufferSize = ctypes.c_uint64(0) nPrereleaseInfoNeededChars = ctypes.c_uint64(0) pPrereleaseInfoBuffer = ctypes.c_char_p(None) self.checkError(None, self.lib.lib3mf_getprereleaseinformation(pHasPrereleaseInfo, nPrereleaseInfoBufferSize, nPrereleaseInfoNeededChars, pPrereleaseInfoBuffer)) nPrereleaseInfoBufferSize = ctypes.c_uint64(nPrereleaseInfoNeededChars.value) pPrereleaseInfoBuffer = (ctypes.c_char * (nPrereleaseInfoNeededChars.value))() self.checkError(None, self.lib.lib3mf_getprereleaseinformation(pHasPrereleaseInfo, nPrereleaseInfoBufferSize, nPrereleaseInfoNeededChars, pPrereleaseInfoBuffer)) return pHasPrereleaseInfo.value, pPrereleaseInfoBuffer.value.decode() def GetBuildInformation(self): pHasBuildInfo = ctypes.c_bool() nBuildInformationBufferSize = ctypes.c_uint64(0) nBuildInformationNeededChars = ctypes.c_uint64(0) pBuildInformationBuffer = ctypes.c_char_p(None) self.checkError(None, self.lib.lib3mf_getbuildinformation(pHasBuildInfo, nBuildInformationBufferSize, nBuildInformationNeededChars, pBuildInformationBuffer)) nBuildInformationBufferSize = ctypes.c_uint64(nBuildInformationNeededChars.value) pBuildInformationBuffer = (ctypes.c_char * (nBuildInformationNeededChars.value))() self.checkError(None, self.lib.lib3mf_getbuildinformation(pHasBuildInfo, nBuildInformationBufferSize, nBuildInformationNeededChars, pBuildInformationBuffer)) return pHasBuildInfo.value, pBuildInformationBuffer.value.decode() def GetSpecificationVersion(self, SpecificationURL): pSpecificationURL = ctypes.c_char_p(str.encode(SpecificationURL)) pIsSupported = ctypes.c_bool() pMajor = ctypes.c_uint32() pMinor = ctypes.c_uint32() pMicro = ctypes.c_uint32() self.checkError(None, self.lib.lib3mf_getspecificationversion(pSpecificationURL, pIsSupported, pMajor, pMinor, pMicro)) return pIsSupported.value, pMajor.value, pMinor.value, pMicro.value def CreateModel(self): ModelHandle = ctypes.c_void_p() self.checkError(None, self.lib.lib3mf_createmodel(ModelHandle)) if ModelHandle: ModelObject = Model(ModelHandle, self) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ModelObject def Release(self, InstanceObject): InstanceHandle = None if InstanceObject: InstanceHandle = InstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self.checkError(None, self.lib.lib3mf_release(InstanceHandle)) def Acquire(self, InstanceObject): InstanceHandle = None if InstanceObject: InstanceHandle = InstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self.checkError(None, self.lib.lib3mf_acquire(InstanceHandle)) def SetJournal(self, JournalPath): pJournalPath = ctypes.c_char_p(str.encode(JournalPath)) self.checkError(None, self.lib.lib3mf_setjournal(pJournalPath)) def GetLastError(self, InstanceObject): InstanceHandle = None if InstanceObject: InstanceHandle = InstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') nLastErrorStringBufferSize = ctypes.c_uint64(0) nLastErrorStringNeededChars = ctypes.c_uint64(0) pLastErrorStringBuffer = ctypes.c_char_p(None) pHasLastError = ctypes.c_bool() self.checkError(None, self.lib.lib3mf_getlasterror(InstanceHandle, nLastErrorStringBufferSize, nLastErrorStringNeededChars, pLastErrorStringBuffer, pHasLastError)) nLastErrorStringBufferSize = ctypes.c_uint64(nLastErrorStringNeededChars.value) pLastErrorStringBuffer = (ctypes.c_char * (nLastErrorStringNeededChars.value))() self.checkError(None, self.lib.lib3mf_getlasterror(InstanceHandle, nLastErrorStringBufferSize, nLastErrorStringNeededChars, pLastErrorStringBuffer, pHasLastError)) return pLastErrorStringBuffer.value.decode(), pHasLastError.value def GetSymbolLookupMethod(self): pSymbolLookupMethod = ctypes.c_void_p() self.checkError(None, self.lib.lib3mf_getsymbollookupmethod(pSymbolLookupMethod)) return pSymbolLookupMethod.value def RetrieveProgressMessage(self, TheProgressIdentifier): nProgressMessageBufferSize = ctypes.c_uint64(0) nProgressMessageNeededChars = ctypes.c_uint64(0) pProgressMessageBuffer = ctypes.c_char_p(None) self.checkError(None, self.lib.lib3mf_retrieveprogressmessage(TheProgressIdentifier, nProgressMessageBufferSize, nProgressMessageNeededChars, pProgressMessageBuffer)) nProgressMessageBufferSize = ctypes.c_uint64(nProgressMessageNeededChars.value) pProgressMessageBuffer = (ctypes.c_char * (nProgressMessageNeededChars.value))() self.checkError(None, self.lib.lib3mf_retrieveprogressmessage(TheProgressIdentifier, nProgressMessageBufferSize, nProgressMessageNeededChars, pProgressMessageBuffer)) return pProgressMessageBuffer.value.decode() def RGBAToColor(self, Red, Green, Blue, Alpha): nRed = ctypes.c_uint8(Red) nGreen = ctypes.c_uint8(Green) nBlue = ctypes.c_uint8(Blue) nAlpha = ctypes.c_uint8(Alpha) pTheColor = Color() self.checkError(None, self.lib.lib3mf_rgbatocolor(nRed, nGreen, nBlue, nAlpha, pTheColor)) return pTheColor def FloatRGBAToColor(self, Red, Green, Blue, Alpha): fRed = ctypes.c_float(Red) fGreen = ctypes.c_float(Green) fBlue = ctypes.c_float(Blue) fAlpha = ctypes.c_float(Alpha) pTheColor = Color() self.checkError(None, self.lib.lib3mf_floatrgbatocolor(fRed, fGreen, fBlue, fAlpha, pTheColor)) return pTheColor def ColorToRGBA(self, TheColor): pRed = ctypes.c_uint8() pGreen = ctypes.c_uint8() pBlue = ctypes.c_uint8() pAlpha = ctypes.c_uint8() self.checkError(None, self.lib.lib3mf_colortorgba(TheColor, pRed, pGreen, pBlue, pAlpha)) return pRed.value, pGreen.value, pBlue.value, pAlpha.value def ColorToFloatRGBA(self, TheColor): pRed = ctypes.c_float() pGreen = ctypes.c_float() pBlue = ctypes.c_float() pAlpha = ctypes.c_float() self.checkError(None, self.lib.lib3mf_colortofloatrgba(TheColor, pRed, pGreen, pBlue, pAlpha)) return pRed.value, pGreen.value, pBlue.value, pAlpha.value def GetIdentityTransform(self): pTransform = Transform() self.checkError(None, self.lib.lib3mf_getidentitytransform(pTransform)) return pTransform def GetUniformScaleTransform(self, Factor): fFactor = ctypes.c_float(Factor) pTransform = Transform() self.checkError(None, self.lib.lib3mf_getuniformscaletransform(fFactor, pTransform)) return pTransform def GetScaleTransform(self, FactorX, FactorY, FactorZ): fFactorX = ctypes.c_float(FactorX) fFactorY = ctypes.c_float(FactorY) fFactorZ = ctypes.c_float(FactorZ) pTransform = Transform() self.checkError(None, self.lib.lib3mf_getscaletransform(fFactorX, fFactorY, fFactorZ, pTransform)) return pTransform def GetTranslationTransform(self, VectorX, VectorY, VectorZ): fVectorX = ctypes.c_float(VectorX) fVectorY = ctypes.c_float(VectorY) fVectorZ = ctypes.c_float(VectorZ) pTransform = Transform() self.checkError(None, self.lib.lib3mf_gettranslationtransform(fVectorX, fVectorY, fVectorZ, pTransform)) return pTransform ''' Class Implementation for Base ''' class Base: def __init__(self, handle, wrapper): if not handle or not wrapper: raise ELib3MFException(ErrorCodes.INVALIDPARAM) self._handle = handle self._wrapper = wrapper def __del__(self): self._wrapper.Release(self) ''' Class Implementation for Writer ''' class Writer(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def WriteToFile(self, Filename): pFilename = ctypes.c_char_p(str.encode(Filename)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_writetofile(self._handle, pFilename)) def GetStreamSize(self): pStreamSize = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_getstreamsize(self._handle, pStreamSize)) return pStreamSize.value def WriteToBuffer(self): nBufferCount = ctypes.c_uint64(0) nBufferNeededCount = ctypes.c_uint64(0) pBufferBuffer = (ctypes.c_uint8*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_writetobuffer(self._handle, nBufferCount, nBufferNeededCount, pBufferBuffer)) nBufferCount = ctypes.c_uint64(nBufferNeededCount.value) pBufferBuffer = (ctypes.c_uint8 * nBufferNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_writetobuffer(self._handle, nBufferCount, nBufferNeededCount, pBufferBuffer)) return [pBufferBuffer[i] for i in range(nBufferNeededCount.value)] def WriteToCallback(self, TheWriteCallbackFunc, TheSeekCallbackFunc, UserData): pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_writetocallback(self._handle, TheWriteCallbackFunc, TheSeekCallbackFunc, pUserData)) def SetProgressCallback(self, ProgressCallbackFunc, UserData): pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_setprogresscallback(self._handle, ProgressCallbackFunc, pUserData)) def GetDecimalPrecision(self): pDecimalPrecision = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_getdecimalprecision(self._handle, pDecimalPrecision)) return pDecimalPrecision.value def SetDecimalPrecision(self, DecimalPrecision): nDecimalPrecision = ctypes.c_uint32(DecimalPrecision) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_setdecimalprecision(self._handle, nDecimalPrecision)) def SetStrictModeActive(self, StrictModeActive): bStrictModeActive = ctypes.c_bool(StrictModeActive) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_setstrictmodeactive(self._handle, bStrictModeActive)) def GetStrictModeActive(self): pStrictModeActive = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_getstrictmodeactive(self._handle, pStrictModeActive)) return pStrictModeActive.value def GetWarning(self, Index): nIndex = ctypes.c_uint32(Index) pErrorCode = ctypes.c_uint32() nWarningBufferSize = ctypes.c_uint64(0) nWarningNeededChars = ctypes.c_uint64(0) pWarningBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_getwarning(self._handle, nIndex, pErrorCode, nWarningBufferSize, nWarningNeededChars, pWarningBuffer)) nWarningBufferSize = ctypes.c_uint64(nWarningNeededChars.value) pWarningBuffer = (ctypes.c_char * (nWarningNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_getwarning(self._handle, nIndex, pErrorCode, nWarningBufferSize, nWarningNeededChars, pWarningBuffer)) return pErrorCode.value, pWarningBuffer.value.decode() def GetWarningCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_getwarningcount(self._handle, pCount)) return pCount.value def AddKeyWrappingCallback(self, ConsumerID, TheCallbackFunc, UserData): pConsumerID = ctypes.c_char_p(str.encode(ConsumerID)) pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_addkeywrappingcallback(self._handle, pConsumerID, TheCallbackFunc, pUserData)) def SetContentEncryptionCallback(self, TheCallbackFunc, UserData): pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_writer_setcontentencryptioncallback(self._handle, TheCallbackFunc, pUserData)) ''' Class Implementation for Reader ''' class Reader(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def ReadFromFile(self, Filename): pFilename = ctypes.c_char_p(str.encode(Filename)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_readfromfile(self._handle, pFilename)) def ReadFromBuffer(self, Buffer): nBufferCount = ctypes.c_uint64(len(Buffer)) pBufferBuffer = (ctypes.c_uint8*len(Buffer))(*Buffer) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_readfrombuffer(self._handle, nBufferCount, pBufferBuffer)) def ReadFromCallback(self, TheReadCallbackFunc, StreamSize, TheSeekCallbackFunc, UserData): nStreamSize = ctypes.c_uint64(StreamSize) pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_readfromcallback(self._handle, TheReadCallbackFunc, nStreamSize, TheSeekCallbackFunc, pUserData)) def SetProgressCallback(self, ProgressCallbackFunc, UserData): pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_setprogresscallback(self._handle, ProgressCallbackFunc, pUserData)) def AddRelationToRead(self, RelationShipType): pRelationShipType = ctypes.c_char_p(str.encode(RelationShipType)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_addrelationtoread(self._handle, pRelationShipType)) def RemoveRelationToRead(self, RelationShipType): pRelationShipType = ctypes.c_char_p(str.encode(RelationShipType)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_removerelationtoread(self._handle, pRelationShipType)) def SetStrictModeActive(self, StrictModeActive): bStrictModeActive = ctypes.c_bool(StrictModeActive) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_setstrictmodeactive(self._handle, bStrictModeActive)) def GetStrictModeActive(self): pStrictModeActive = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_getstrictmodeactive(self._handle, pStrictModeActive)) return pStrictModeActive.value def GetWarning(self, Index): nIndex = ctypes.c_uint32(Index) pErrorCode = ctypes.c_uint32() nWarningBufferSize = ctypes.c_uint64(0) nWarningNeededChars = ctypes.c_uint64(0) pWarningBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_getwarning(self._handle, nIndex, pErrorCode, nWarningBufferSize, nWarningNeededChars, pWarningBuffer)) nWarningBufferSize = ctypes.c_uint64(nWarningNeededChars.value) pWarningBuffer = (ctypes.c_char * (nWarningNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_getwarning(self._handle, nIndex, pErrorCode, nWarningBufferSize, nWarningNeededChars, pWarningBuffer)) return pErrorCode.value, pWarningBuffer.value.decode() def GetWarningCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_getwarningcount(self._handle, pCount)) return pCount.value def AddKeyWrappingCallback(self, ConsumerID, TheCallbackFunc, UserData): pConsumerID = ctypes.c_char_p(str.encode(ConsumerID)) pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_addkeywrappingcallback(self._handle, pConsumerID, TheCallbackFunc, pUserData)) def SetContentEncryptionCallback(self, TheCallbackFunc, UserData): pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_reader_setcontentencryptioncallback(self._handle, TheCallbackFunc, pUserData)) ''' Class Implementation for PackagePart ''' class PackagePart(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetPath(self): nPathBufferSize = ctypes.c_uint64(0) nPathNeededChars = ctypes.c_uint64(0) pPathBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_packagepart_getpath(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) nPathBufferSize = ctypes.c_uint64(nPathNeededChars.value) pPathBuffer = (ctypes.c_char * (nPathNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_packagepart_getpath(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) return pPathBuffer.value.decode() def SetPath(self, Path): pPath = ctypes.c_char_p(str.encode(Path)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_packagepart_setpath(self._handle, pPath)) ''' Class Implementation for Resource ''' class Resource(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetResourceID(self): pUniqueResourceID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resource_getresourceid(self._handle, pUniqueResourceID)) return pUniqueResourceID.value def GetUniqueResourceID(self): pUniqueResourceID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resource_getuniqueresourceid(self._handle, pUniqueResourceID)) return pUniqueResourceID.value def PackagePart(self): PackagePartHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resource_packagepart(self._handle, PackagePartHandle)) if PackagePartHandle: PackagePartObject = PackagePart(PackagePartHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return PackagePartObject def SetPackagePart(self, PackagePartObject): PackagePartHandle = None if PackagePartObject: PackagePartHandle = PackagePartObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resource_setpackagepart(self._handle, PackagePartHandle)) def GetModelResourceID(self): pModelResourceId = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resource_getmodelresourceid(self._handle, pModelResourceId)) return pModelResourceId.value ''' Class Implementation for ResourceIterator ''' class ResourceIterator(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def MoveNext(self): pHasNext = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourceiterator_movenext(self._handle, pHasNext)) return pHasNext.value def MovePrevious(self): pHasPrevious = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourceiterator_moveprevious(self._handle, pHasPrevious)) return pHasPrevious.value def GetCurrent(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourceiterator_getcurrent(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = Resource(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject def Clone(self): OutResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourceiterator_clone(self._handle, OutResourceIteratorHandle)) if OutResourceIteratorHandle: OutResourceIteratorObject = ResourceIterator(OutResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return OutResourceIteratorObject def Count(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourceiterator_count(self._handle, pCount)) return pCount.value ''' Class Implementation for SliceStackIterator ''' class SliceStackIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentSliceStack(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestackiterator_getcurrentslicestack(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = SliceStack(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for ObjectIterator ''' class ObjectIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentObject(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_objectiterator_getcurrentobject(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = Object(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for MeshObjectIterator ''' class MeshObjectIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentMeshObject(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobjectiterator_getcurrentmeshobject(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = MeshObject(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for ComponentsObjectIterator ''' class ComponentsObjectIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentComponentsObject(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_componentsobjectiterator_getcurrentcomponentsobject(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = ComponentsObject(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for Texture2DIterator ''' class Texture2DIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentTexture2D(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2diterator_getcurrenttexture2d(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = Texture2D(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for BaseMaterialGroupIterator ''' class BaseMaterialGroupIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentBaseMaterialGroup(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroupiterator_getcurrentbasematerialgroup(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = BaseMaterialGroup(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for ColorGroupIterator ''' class ColorGroupIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentColorGroup(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroupiterator_getcurrentcolorgroup(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = ColorGroup(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for Texture2DGroupIterator ''' class Texture2DGroupIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentTexture2DGroup(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroupiterator_getcurrenttexture2dgroup(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = Texture2DGroup(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for CompositeMaterialsIterator ''' class CompositeMaterialsIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentCompositeMaterials(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerialsiterator_getcurrentcompositematerials(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = CompositeMaterials(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for MultiPropertyGroupIterator ''' class MultiPropertyGroupIterator(ResourceIterator): def __init__(self, handle, wrapper): ResourceIterator.__init__(self, handle, wrapper) def GetCurrentMultiPropertyGroup(self): ResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroupiterator_getcurrentmultipropertygroup(self._handle, ResourceHandle)) if ResourceHandle: ResourceObject = MultiPropertyGroup(ResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceObject ''' Class Implementation for MetaData ''' class MetaData(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetNameSpace(self): nNameSpaceBufferSize = ctypes.c_uint64(0) nNameSpaceNeededChars = ctypes.c_uint64(0) pNameSpaceBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getnamespace(self._handle, nNameSpaceBufferSize, nNameSpaceNeededChars, pNameSpaceBuffer)) nNameSpaceBufferSize = ctypes.c_uint64(nNameSpaceNeededChars.value) pNameSpaceBuffer = (ctypes.c_char * (nNameSpaceNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getnamespace(self._handle, nNameSpaceBufferSize, nNameSpaceNeededChars, pNameSpaceBuffer)) return pNameSpaceBuffer.value.decode() def SetNameSpace(self, NameSpace): pNameSpace = ctypes.c_char_p(str.encode(NameSpace)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_setnamespace(self._handle, pNameSpace)) def GetName(self): nNameBufferSize = ctypes.c_uint64(0) nNameNeededChars = ctypes.c_uint64(0) pNameBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getname(self._handle, nNameBufferSize, nNameNeededChars, pNameBuffer)) nNameBufferSize = ctypes.c_uint64(nNameNeededChars.value) pNameBuffer = (ctypes.c_char * (nNameNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getname(self._handle, nNameBufferSize, nNameNeededChars, pNameBuffer)) return pNameBuffer.value.decode() def SetName(self, Name): pName = ctypes.c_char_p(str.encode(Name)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_setname(self._handle, pName)) def GetKey(self): nKeyBufferSize = ctypes.c_uint64(0) nKeyNeededChars = ctypes.c_uint64(0) pKeyBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getkey(self._handle, nKeyBufferSize, nKeyNeededChars, pKeyBuffer)) nKeyBufferSize = ctypes.c_uint64(nKeyNeededChars.value) pKeyBuffer = (ctypes.c_char * (nKeyNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getkey(self._handle, nKeyBufferSize, nKeyNeededChars, pKeyBuffer)) return pKeyBuffer.value.decode() def GetMustPreserve(self): pMustPreserve = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getmustpreserve(self._handle, pMustPreserve)) return pMustPreserve.value def SetMustPreserve(self, MustPreserve): bMustPreserve = ctypes.c_bool(MustPreserve) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_setmustpreserve(self._handle, bMustPreserve)) def GetType(self): nTypeBufferSize = ctypes.c_uint64(0) nTypeNeededChars = ctypes.c_uint64(0) pTypeBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_gettype(self._handle, nTypeBufferSize, nTypeNeededChars, pTypeBuffer)) nTypeBufferSize = ctypes.c_uint64(nTypeNeededChars.value) pTypeBuffer = (ctypes.c_char * (nTypeNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_gettype(self._handle, nTypeBufferSize, nTypeNeededChars, pTypeBuffer)) return pTypeBuffer.value.decode() def SetType(self, Type): pType = ctypes.c_char_p(str.encode(Type)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_settype(self._handle, pType)) def GetValue(self): nValueBufferSize = ctypes.c_uint64(0) nValueNeededChars = ctypes.c_uint64(0) pValueBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getvalue(self._handle, nValueBufferSize, nValueNeededChars, pValueBuffer)) nValueBufferSize = ctypes.c_uint64(nValueNeededChars.value) pValueBuffer = (ctypes.c_char * (nValueNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_getvalue(self._handle, nValueBufferSize, nValueNeededChars, pValueBuffer)) return pValueBuffer.value.decode() def SetValue(self, Value): pValue = ctypes.c_char_p(str.encode(Value)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadata_setvalue(self._handle, pValue)) ''' Class Implementation for MetaDataGroup ''' class MetaDataGroup(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetMetaDataCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadatagroup_getmetadatacount(self._handle, pCount)) return pCount.value def GetMetaData(self, Index): nIndex = ctypes.c_uint32(Index) MetaDataHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadatagroup_getmetadata(self._handle, nIndex, MetaDataHandle)) if MetaDataHandle: MetaDataObject = MetaData(MetaDataHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MetaDataObject def GetMetaDataByKey(self, NameSpace, Name): pNameSpace = ctypes.c_char_p(str.encode(NameSpace)) pName = ctypes.c_char_p(str.encode(Name)) MetaDataHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadatagroup_getmetadatabykey(self._handle, pNameSpace, pName, MetaDataHandle)) if MetaDataHandle: MetaDataObject = MetaData(MetaDataHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MetaDataObject def RemoveMetaDataByIndex(self, Index): nIndex = ctypes.c_uint32(Index) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadatagroup_removemetadatabyindex(self._handle, nIndex)) def RemoveMetaData(self, TheMetaDataObject): TheMetaDataHandle = None if TheMetaDataObject: TheMetaDataHandle = TheMetaDataObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadatagroup_removemetadata(self._handle, TheMetaDataHandle)) def AddMetaData(self, NameSpace, Name, Value, Type, MustPreserve): pNameSpace = ctypes.c_char_p(str.encode(NameSpace)) pName = ctypes.c_char_p(str.encode(Name)) pValue = ctypes.c_char_p(str.encode(Value)) pType = ctypes.c_char_p(str.encode(Type)) bMustPreserve = ctypes.c_bool(MustPreserve) MetaDataHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_metadatagroup_addmetadata(self._handle, pNameSpace, pName, pValue, pType, bMustPreserve, MetaDataHandle)) if MetaDataHandle: MetaDataObject = MetaData(MetaDataHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MetaDataObject ''' Class Implementation for Object ''' class Object(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetType(self): pObjectType = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_gettype(self._handle, pObjectType)) return ObjectType(pObjectType.value) def SetType(self, ObjectType): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_settype(self._handle, ObjectType)) def GetName(self): nNameBufferSize = ctypes.c_uint64(0) nNameNeededChars = ctypes.c_uint64(0) pNameBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getname(self._handle, nNameBufferSize, nNameNeededChars, pNameBuffer)) nNameBufferSize = ctypes.c_uint64(nNameNeededChars.value) pNameBuffer = (ctypes.c_char * (nNameNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getname(self._handle, nNameBufferSize, nNameNeededChars, pNameBuffer)) return pNameBuffer.value.decode() def SetName(self, Name): pName = ctypes.c_char_p(str.encode(Name)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_setname(self._handle, pName)) def GetPartNumber(self): nPartNumberBufferSize = ctypes.c_uint64(0) nPartNumberNeededChars = ctypes.c_uint64(0) pPartNumberBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getpartnumber(self._handle, nPartNumberBufferSize, nPartNumberNeededChars, pPartNumberBuffer)) nPartNumberBufferSize = ctypes.c_uint64(nPartNumberNeededChars.value) pPartNumberBuffer = (ctypes.c_char * (nPartNumberNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getpartnumber(self._handle, nPartNumberBufferSize, nPartNumberNeededChars, pPartNumberBuffer)) return pPartNumberBuffer.value.decode() def SetPartNumber(self, PartNumber): pPartNumber = ctypes.c_char_p(str.encode(PartNumber)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_setpartnumber(self._handle, pPartNumber)) def IsMeshObject(self): pIsMeshObject = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_ismeshobject(self._handle, pIsMeshObject)) return pIsMeshObject.value def IsComponentsObject(self): pIsComponentsObject = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_iscomponentsobject(self._handle, pIsComponentsObject)) return pIsComponentsObject.value def IsValid(self): pIsValid = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_isvalid(self._handle, pIsValid)) return pIsValid.value def SetAttachmentAsThumbnail(self, AttachmentObject): AttachmentHandle = None if AttachmentObject: AttachmentHandle = AttachmentObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_setattachmentasthumbnail(self._handle, AttachmentHandle)) def GetThumbnailAttachment(self): AttachmentHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getthumbnailattachment(self._handle, AttachmentHandle)) if AttachmentHandle: AttachmentObject = Attachment(AttachmentHandle, self._wrapper) else: AttachmentObject = None return AttachmentObject def ClearThumbnailAttachment(self): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_clearthumbnailattachment(self._handle)) def GetOutbox(self): pOutbox = Box() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getoutbox(self._handle, pOutbox)) return pOutbox def GetUUID(self): pHasUUID = ctypes.c_bool() nUUIDBufferSize = ctypes.c_uint64(0) nUUIDNeededChars = ctypes.c_uint64(0) pUUIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) nUUIDBufferSize = ctypes.c_uint64(nUUIDNeededChars.value) pUUIDBuffer = (ctypes.c_char * (nUUIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) return pHasUUID.value, pUUIDBuffer.value.decode() def SetUUID(self, UUID): pUUID = ctypes.c_char_p(str.encode(UUID)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_setuuid(self._handle, pUUID)) def GetMetaDataGroup(self): MetaDataGroupHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getmetadatagroup(self._handle, MetaDataGroupHandle)) if MetaDataGroupHandle: MetaDataGroupObject = MetaDataGroup(MetaDataGroupHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MetaDataGroupObject def SetSlicesMeshResolution(self, MeshResolution): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_setslicesmeshresolution(self._handle, MeshResolution)) def GetSlicesMeshResolution(self): pMeshResolution = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getslicesmeshresolution(self._handle, pMeshResolution)) return SlicesMeshResolution(pMeshResolution.value) def HasSlices(self, Recursive): bRecursive = ctypes.c_bool(Recursive) pHasSlices = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_hasslices(self._handle, bRecursive, pHasSlices)) return pHasSlices.value def ClearSliceStack(self): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_clearslicestack(self._handle)) def GetSliceStack(self): SliceStackInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_getslicestack(self._handle, SliceStackInstanceHandle)) if SliceStackInstanceHandle: SliceStackInstanceObject = SliceStack(SliceStackInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return SliceStackInstanceObject def AssignSliceStack(self, SliceStackInstanceObject): SliceStackInstanceHandle = None if SliceStackInstanceObject: SliceStackInstanceHandle = SliceStackInstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_object_assignslicestack(self._handle, SliceStackInstanceHandle)) ''' Class Implementation for MeshObject ''' class MeshObject(Object): def __init__(self, handle, wrapper): Object.__init__(self, handle, wrapper) def GetVertexCount(self): pVertexCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_getvertexcount(self._handle, pVertexCount)) return pVertexCount.value def GetTriangleCount(self): pVertexCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_gettrianglecount(self._handle, pVertexCount)) return pVertexCount.value def GetVertex(self, Index): nIndex = ctypes.c_uint32(Index) pCoordinates = Position() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_getvertex(self._handle, nIndex, pCoordinates)) return pCoordinates def SetVertex(self, Index, Coordinates): nIndex = ctypes.c_uint32(Index) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_setvertex(self._handle, nIndex, Coordinates)) def AddVertex(self, Coordinates): pNewIndex = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_addvertex(self._handle, Coordinates, pNewIndex)) return pNewIndex.value def GetVertices(self): nVerticesCount = ctypes.c_uint64(0) nVerticesNeededCount = ctypes.c_uint64(0) pVerticesBuffer = (Position*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_getvertices(self._handle, nVerticesCount, nVerticesNeededCount, pVerticesBuffer)) nVerticesCount = ctypes.c_uint64(nVerticesNeededCount.value) pVerticesBuffer = (Position * nVerticesNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_getvertices(self._handle, nVerticesCount, nVerticesNeededCount, pVerticesBuffer)) return [pVerticesBuffer[i] for i in range(nVerticesNeededCount.value)] def GetTriangle(self, Index): nIndex = ctypes.c_uint32(Index) pIndices = Triangle() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_gettriangle(self._handle, nIndex, pIndices)) return pIndices def SetTriangle(self, Index, Indices): nIndex = ctypes.c_uint32(Index) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_settriangle(self._handle, nIndex, Indices)) def AddTriangle(self, Indices): pNewIndex = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_addtriangle(self._handle, Indices, pNewIndex)) return pNewIndex.value def GetTriangleIndices(self): nIndicesCount = ctypes.c_uint64(0) nIndicesNeededCount = ctypes.c_uint64(0) pIndicesBuffer = (Triangle*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_gettriangleindices(self._handle, nIndicesCount, nIndicesNeededCount, pIndicesBuffer)) nIndicesCount = ctypes.c_uint64(nIndicesNeededCount.value) pIndicesBuffer = (Triangle * nIndicesNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_gettriangleindices(self._handle, nIndicesCount, nIndicesNeededCount, pIndicesBuffer)) return [pIndicesBuffer[i] for i in range(nIndicesNeededCount.value)] def SetObjectLevelProperty(self, UniqueResourceID, PropertyID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_setobjectlevelproperty(self._handle, nUniqueResourceID, nPropertyID)) def GetObjectLevelProperty(self): pUniqueResourceID = ctypes.c_uint32() pPropertyID = ctypes.c_uint32() pHasObjectLevelProperty = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_getobjectlevelproperty(self._handle, pUniqueResourceID, pPropertyID, pHasObjectLevelProperty)) return pUniqueResourceID.value, pPropertyID.value, pHasObjectLevelProperty.value def SetTriangleProperties(self, Index, Properties): nIndex = ctypes.c_uint32(Index) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_settriangleproperties(self._handle, nIndex, Properties)) def GetTriangleProperties(self, Index): nIndex = ctypes.c_uint32(Index) pProperty = TriangleProperties() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_gettriangleproperties(self._handle, nIndex, pProperty)) return pProperty def SetAllTriangleProperties(self, PropertiesArray): nPropertiesArrayCount = ctypes.c_uint64(len(PropertiesArray)) pPropertiesArrayBuffer = (TriangleProperties*len(PropertiesArray))(*PropertiesArray) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_setalltriangleproperties(self._handle, nPropertiesArrayCount, pPropertiesArrayBuffer)) def GetAllTriangleProperties(self): nPropertiesArrayCount = ctypes.c_uint64(0) nPropertiesArrayNeededCount = ctypes.c_uint64(0) pPropertiesArrayBuffer = (TriangleProperties*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_getalltriangleproperties(self._handle, nPropertiesArrayCount, nPropertiesArrayNeededCount, pPropertiesArrayBuffer)) nPropertiesArrayCount = ctypes.c_uint64(nPropertiesArrayNeededCount.value) pPropertiesArrayBuffer = (TriangleProperties * nPropertiesArrayNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_getalltriangleproperties(self._handle, nPropertiesArrayCount, nPropertiesArrayNeededCount, pPropertiesArrayBuffer)) return [pPropertiesArrayBuffer[i] for i in range(nPropertiesArrayNeededCount.value)] def ClearAllProperties(self): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_clearallproperties(self._handle)) def SetGeometry(self, Vertices, Indices): nVerticesCount = ctypes.c_uint64(len(Vertices)) pVerticesBuffer = (Position*len(Vertices))(*Vertices) nIndicesCount = ctypes.c_uint64(len(Indices)) pIndicesBuffer = (Triangle*len(Indices))(*Indices) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_setgeometry(self._handle, nVerticesCount, pVerticesBuffer, nIndicesCount, pIndicesBuffer)) def IsManifoldAndOriented(self): pIsManifoldAndOriented = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_ismanifoldandoriented(self._handle, pIsManifoldAndOriented)) return pIsManifoldAndOriented.value def BeamLattice(self): TheBeamLatticeHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_meshobject_beamlattice(self._handle, TheBeamLatticeHandle)) if TheBeamLatticeHandle: TheBeamLatticeObject = BeamLattice(TheBeamLatticeHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return TheBeamLatticeObject ''' Class Implementation for BeamLattice ''' class BeamLattice(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetMinLength(self): pMinLength = ctypes.c_double() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getminlength(self._handle, pMinLength)) return pMinLength.value def SetMinLength(self, MinLength): dMinLength = ctypes.c_double(MinLength) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setminlength(self._handle, dMinLength)) def GetClipping(self): pClipMode = ctypes.c_int32() pUniqueResourceID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getclipping(self._handle, pClipMode, pUniqueResourceID)) return BeamLatticeClipMode(pClipMode.value), pUniqueResourceID.value def SetClipping(self, ClipMode, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setclipping(self._handle, ClipMode, nUniqueResourceID)) def GetRepresentation(self): pHasRepresentation = ctypes.c_bool() pUniqueResourceID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getrepresentation(self._handle, pHasRepresentation, pUniqueResourceID)) return pHasRepresentation.value, pUniqueResourceID.value def SetRepresentation(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setrepresentation(self._handle, nUniqueResourceID)) def GetBallOptions(self): pBallMode = ctypes.c_int32() pBallRadius = ctypes.c_double() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getballoptions(self._handle, pBallMode, pBallRadius)) return BeamLatticeBallMode(pBallMode.value), pBallRadius.value def SetBallOptions(self, BallMode, BallRadius): dBallRadius = ctypes.c_double(BallRadius) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setballoptions(self._handle, BallMode, dBallRadius)) def GetBeamCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getbeamcount(self._handle, pCount)) return pCount.value def GetBeam(self, Index): nIndex = ctypes.c_uint32(Index) pBeamInfo = Beam() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getbeam(self._handle, nIndex, pBeamInfo)) return pBeamInfo def AddBeam(self, BeamInfo): pIndex = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_addbeam(self._handle, BeamInfo, pIndex)) return pIndex.value def SetBeam(self, Index, BeamInfo): nIndex = ctypes.c_uint32(Index) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setbeam(self._handle, nIndex, BeamInfo)) def SetBeams(self, BeamInfo): nBeamInfoCount = ctypes.c_uint64(len(BeamInfo)) pBeamInfoBuffer = (Beam*len(BeamInfo))(*BeamInfo) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setbeams(self._handle, nBeamInfoCount, pBeamInfoBuffer)) def GetBeams(self): nBeamInfoCount = ctypes.c_uint64(0) nBeamInfoNeededCount = ctypes.c_uint64(0) pBeamInfoBuffer = (Beam*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getbeams(self._handle, nBeamInfoCount, nBeamInfoNeededCount, pBeamInfoBuffer)) nBeamInfoCount = ctypes.c_uint64(nBeamInfoNeededCount.value) pBeamInfoBuffer = (Beam * nBeamInfoNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getbeams(self._handle, nBeamInfoCount, nBeamInfoNeededCount, pBeamInfoBuffer)) return [pBeamInfoBuffer[i] for i in range(nBeamInfoNeededCount.value)] def GetBallCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getballcount(self._handle, pCount)) return pCount.value def GetBall(self, Index): nIndex = ctypes.c_uint32(Index) pBallInfo = Ball() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getball(self._handle, nIndex, pBallInfo)) return pBallInfo def AddBall(self, BallInfo): pIndex = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_addball(self._handle, BallInfo, pIndex)) return pIndex.value def SetBall(self, Index, BallInfo): nIndex = ctypes.c_uint32(Index) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setball(self._handle, nIndex, BallInfo)) def SetBalls(self, BallInfo): nBallInfoCount = ctypes.c_uint64(len(BallInfo)) pBallInfoBuffer = (Ball*len(BallInfo))(*BallInfo) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_setballs(self._handle, nBallInfoCount, pBallInfoBuffer)) def GetBalls(self): nBallInfoCount = ctypes.c_uint64(0) nBallInfoNeededCount = ctypes.c_uint64(0) pBallInfoBuffer = (Ball*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getballs(self._handle, nBallInfoCount, nBallInfoNeededCount, pBallInfoBuffer)) nBallInfoCount = ctypes.c_uint64(nBallInfoNeededCount.value) pBallInfoBuffer = (Ball * nBallInfoNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getballs(self._handle, nBallInfoCount, nBallInfoNeededCount, pBallInfoBuffer)) return [pBallInfoBuffer[i] for i in range(nBallInfoNeededCount.value)] def GetBeamSetCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getbeamsetcount(self._handle, pCount)) return pCount.value def AddBeamSet(self): BeamSetHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_addbeamset(self._handle, BeamSetHandle)) if BeamSetHandle: BeamSetObject = BeamSet(BeamSetHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BeamSetObject def GetBeamSet(self, Index): nIndex = ctypes.c_uint32(Index) BeamSetHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamlattice_getbeamset(self._handle, nIndex, BeamSetHandle)) if BeamSetHandle: BeamSetObject = BeamSet(BeamSetHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BeamSetObject ''' Class Implementation for Component ''' class Component(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetObjectResource(self): ObjectResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_getobjectresource(self._handle, ObjectResourceHandle)) if ObjectResourceHandle: ObjectResourceObject = Object(ObjectResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ObjectResourceObject def GetObjectResourceID(self): pUniqueResourceID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_getobjectresourceid(self._handle, pUniqueResourceID)) return pUniqueResourceID.value def GetUUID(self): pHasUUID = ctypes.c_bool() nUUIDBufferSize = ctypes.c_uint64(0) nUUIDNeededChars = ctypes.c_uint64(0) pUUIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) nUUIDBufferSize = ctypes.c_uint64(nUUIDNeededChars.value) pUUIDBuffer = (ctypes.c_char * (nUUIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) return pHasUUID.value, pUUIDBuffer.value.decode() def SetUUID(self, UUID): pUUID = ctypes.c_char_p(str.encode(UUID)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_setuuid(self._handle, pUUID)) def HasTransform(self): pHasTransform = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_hastransform(self._handle, pHasTransform)) return pHasTransform.value def GetTransform(self): pTransform = Transform() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_gettransform(self._handle, pTransform)) return pTransform def SetTransform(self, Transform): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_component_settransform(self._handle, Transform)) ''' Class Implementation for ComponentsObject ''' class ComponentsObject(Object): def __init__(self, handle, wrapper): Object.__init__(self, handle, wrapper) def AddComponent(self, ObjectResourceObject, Transform): ObjectResourceHandle = None if ObjectResourceObject: ObjectResourceHandle = ObjectResourceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') ComponentInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_componentsobject_addcomponent(self._handle, ObjectResourceHandle, Transform, ComponentInstanceHandle)) if ComponentInstanceHandle: ComponentInstanceObject = Component(ComponentInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ComponentInstanceObject def GetComponent(self, Index): nIndex = ctypes.c_uint32(Index) ComponentInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_componentsobject_getcomponent(self._handle, nIndex, ComponentInstanceHandle)) if ComponentInstanceHandle: ComponentInstanceObject = Component(ComponentInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ComponentInstanceObject def GetComponentCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_componentsobject_getcomponentcount(self._handle, pCount)) return pCount.value ''' Class Implementation for BeamSet ''' class BeamSet(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def SetName(self, Name): pName = ctypes.c_char_p(str.encode(Name)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_setname(self._handle, pName)) def GetName(self): nNameBufferSize = ctypes.c_uint64(0) nNameNeededChars = ctypes.c_uint64(0) pNameBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getname(self._handle, nNameBufferSize, nNameNeededChars, pNameBuffer)) nNameBufferSize = ctypes.c_uint64(nNameNeededChars.value) pNameBuffer = (ctypes.c_char * (nNameNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getname(self._handle, nNameBufferSize, nNameNeededChars, pNameBuffer)) return pNameBuffer.value.decode() def SetIdentifier(self, Identifier): pIdentifier = ctypes.c_char_p(str.encode(Identifier)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_setidentifier(self._handle, pIdentifier)) def GetIdentifier(self): nIdentifierBufferSize = ctypes.c_uint64(0) nIdentifierNeededChars = ctypes.c_uint64(0) pIdentifierBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getidentifier(self._handle, nIdentifierBufferSize, nIdentifierNeededChars, pIdentifierBuffer)) nIdentifierBufferSize = ctypes.c_uint64(nIdentifierNeededChars.value) pIdentifierBuffer = (ctypes.c_char * (nIdentifierNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getidentifier(self._handle, nIdentifierBufferSize, nIdentifierNeededChars, pIdentifierBuffer)) return pIdentifierBuffer.value.decode() def GetReferenceCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getreferencecount(self._handle, pCount)) return pCount.value def SetReferences(self, References): nReferencesCount = ctypes.c_uint64(len(References)) pReferencesBuffer = (ctypes.c_uint32*len(References))(*References) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_setreferences(self._handle, nReferencesCount, pReferencesBuffer)) def GetReferences(self): nReferencesCount = ctypes.c_uint64(0) nReferencesNeededCount = ctypes.c_uint64(0) pReferencesBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getreferences(self._handle, nReferencesCount, nReferencesNeededCount, pReferencesBuffer)) nReferencesCount = ctypes.c_uint64(nReferencesNeededCount.value) pReferencesBuffer = (ctypes.c_uint32 * nReferencesNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getreferences(self._handle, nReferencesCount, nReferencesNeededCount, pReferencesBuffer)) return [pReferencesBuffer[i] for i in range(nReferencesNeededCount.value)] def GetBallReferenceCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getballreferencecount(self._handle, pCount)) return pCount.value def SetBallReferences(self, BallReferences): nBallReferencesCount = ctypes.c_uint64(len(BallReferences)) pBallReferencesBuffer = (ctypes.c_uint32*len(BallReferences))(*BallReferences) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_setballreferences(self._handle, nBallReferencesCount, pBallReferencesBuffer)) def GetBallReferences(self): nBallReferencesCount = ctypes.c_uint64(0) nBallReferencesNeededCount = ctypes.c_uint64(0) pBallReferencesBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getballreferences(self._handle, nBallReferencesCount, nBallReferencesNeededCount, pBallReferencesBuffer)) nBallReferencesCount = ctypes.c_uint64(nBallReferencesNeededCount.value) pBallReferencesBuffer = (ctypes.c_uint32 * nBallReferencesNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_beamset_getballreferences(self._handle, nBallReferencesCount, nBallReferencesNeededCount, pBallReferencesBuffer)) return [pBallReferencesBuffer[i] for i in range(nBallReferencesNeededCount.value)] ''' Class Implementation for BaseMaterialGroup ''' class BaseMaterialGroup(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_getcount(self._handle, pCount)) return pCount.value def GetAllPropertyIDs(self): nPropertyIDsCount = ctypes.c_uint64(0) nPropertyIDsNeededCount = ctypes.c_uint64(0) pPropertyIDsBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) nPropertyIDsCount = ctypes.c_uint64(nPropertyIDsNeededCount.value) pPropertyIDsBuffer = (ctypes.c_uint32 * nPropertyIDsNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) return [pPropertyIDsBuffer[i] for i in range(nPropertyIDsNeededCount.value)] def AddMaterial(self, Name, DisplayColor): pName = ctypes.c_char_p(str.encode(Name)) pPropertyID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_addmaterial(self._handle, pName, DisplayColor, pPropertyID)) return pPropertyID.value def RemoveMaterial(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_removematerial(self._handle, nPropertyID)) def GetName(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) nNameBufferSize = ctypes.c_uint64(0) nNameNeededChars = ctypes.c_uint64(0) pNameBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_getname(self._handle, nPropertyID, nNameBufferSize, nNameNeededChars, pNameBuffer)) nNameBufferSize = ctypes.c_uint64(nNameNeededChars.value) pNameBuffer = (ctypes.c_char * (nNameNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_getname(self._handle, nPropertyID, nNameBufferSize, nNameNeededChars, pNameBuffer)) return pNameBuffer.value.decode() def SetName(self, PropertyID, Name): nPropertyID = ctypes.c_uint32(PropertyID) pName = ctypes.c_char_p(str.encode(Name)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_setname(self._handle, nPropertyID, pName)) def SetDisplayColor(self, PropertyID, TheColor): nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_setdisplaycolor(self._handle, nPropertyID, TheColor)) def GetDisplayColor(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) pTheColor = Color() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_basematerialgroup_getdisplaycolor(self._handle, nPropertyID, pTheColor)) return pTheColor ''' Class Implementation for ColorGroup ''' class ColorGroup(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroup_getcount(self._handle, pCount)) return pCount.value def GetAllPropertyIDs(self): nPropertyIDsCount = ctypes.c_uint64(0) nPropertyIDsNeededCount = ctypes.c_uint64(0) pPropertyIDsBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) nPropertyIDsCount = ctypes.c_uint64(nPropertyIDsNeededCount.value) pPropertyIDsBuffer = (ctypes.c_uint32 * nPropertyIDsNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) return [pPropertyIDsBuffer[i] for i in range(nPropertyIDsNeededCount.value)] def AddColor(self, TheColor): pPropertyID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroup_addcolor(self._handle, TheColor, pPropertyID)) return pPropertyID.value def RemoveColor(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroup_removecolor(self._handle, nPropertyID)) def SetColor(self, PropertyID, TheColor): nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroup_setcolor(self._handle, nPropertyID, TheColor)) def GetColor(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) pTheColor = Color() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_colorgroup_getcolor(self._handle, nPropertyID, pTheColor)) return pTheColor ''' Class Implementation for Texture2DGroup ''' class Texture2DGroup(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroup_getcount(self._handle, pCount)) return pCount.value def GetAllPropertyIDs(self): nPropertyIDsCount = ctypes.c_uint64(0) nPropertyIDsNeededCount = ctypes.c_uint64(0) pPropertyIDsBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) nPropertyIDsCount = ctypes.c_uint64(nPropertyIDsNeededCount.value) pPropertyIDsBuffer = (ctypes.c_uint32 * nPropertyIDsNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) return [pPropertyIDsBuffer[i] for i in range(nPropertyIDsNeededCount.value)] def AddTex2Coord(self, UVCoordinate): pPropertyID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroup_addtex2coord(self._handle, UVCoordinate, pPropertyID)) return pPropertyID.value def GetTex2Coord(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) pUVCoordinate = Tex2Coord() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroup_gettex2coord(self._handle, nPropertyID, pUVCoordinate)) return pUVCoordinate def RemoveTex2Coord(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroup_removetex2coord(self._handle, nPropertyID)) def GetTexture2D(self): Texture2DInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2dgroup_gettexture2d(self._handle, Texture2DInstanceHandle)) if Texture2DInstanceHandle: Texture2DInstanceObject = Texture2D(Texture2DInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return Texture2DInstanceObject ''' Class Implementation for CompositeMaterials ''' class CompositeMaterials(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_getcount(self._handle, pCount)) return pCount.value def GetAllPropertyIDs(self): nPropertyIDsCount = ctypes.c_uint64(0) nPropertyIDsNeededCount = ctypes.c_uint64(0) pPropertyIDsBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) nPropertyIDsCount = ctypes.c_uint64(nPropertyIDsNeededCount.value) pPropertyIDsBuffer = (ctypes.c_uint32 * nPropertyIDsNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) return [pPropertyIDsBuffer[i] for i in range(nPropertyIDsNeededCount.value)] def GetBaseMaterialGroup(self): BaseMaterialGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_getbasematerialgroup(self._handle, BaseMaterialGroupInstanceHandle)) if BaseMaterialGroupInstanceHandle: BaseMaterialGroupInstanceObject = BaseMaterialGroup(BaseMaterialGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BaseMaterialGroupInstanceObject def AddComposite(self, Composite): nCompositeCount = ctypes.c_uint64(len(Composite)) pCompositeBuffer = (CompositeConstituent*len(Composite))(*Composite) pPropertyID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_addcomposite(self._handle, nCompositeCount, pCompositeBuffer, pPropertyID)) return pPropertyID.value def RemoveComposite(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_removecomposite(self._handle, nPropertyID)) def GetComposite(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) nCompositeCount = ctypes.c_uint64(0) nCompositeNeededCount = ctypes.c_uint64(0) pCompositeBuffer = (CompositeConstituent*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_getcomposite(self._handle, nPropertyID, nCompositeCount, nCompositeNeededCount, pCompositeBuffer)) nCompositeCount = ctypes.c_uint64(nCompositeNeededCount.value) pCompositeBuffer = (CompositeConstituent * nCompositeNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_compositematerials_getcomposite(self._handle, nPropertyID, nCompositeCount, nCompositeNeededCount, pCompositeBuffer)) return [pCompositeBuffer[i] for i in range(nCompositeNeededCount.value)] ''' Class Implementation for MultiPropertyGroup ''' class MultiPropertyGroup(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_getcount(self._handle, pCount)) return pCount.value def GetAllPropertyIDs(self): nPropertyIDsCount = ctypes.c_uint64(0) nPropertyIDsNeededCount = ctypes.c_uint64(0) pPropertyIDsBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) nPropertyIDsCount = ctypes.c_uint64(nPropertyIDsNeededCount.value) pPropertyIDsBuffer = (ctypes.c_uint32 * nPropertyIDsNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_getallpropertyids(self._handle, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) return [pPropertyIDsBuffer[i] for i in range(nPropertyIDsNeededCount.value)] def AddMultiProperty(self, PropertyIDs): nPropertyIDsCount = ctypes.c_uint64(len(PropertyIDs)) pPropertyIDsBuffer = (ctypes.c_uint32*len(PropertyIDs))(*PropertyIDs) pPropertyID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_addmultiproperty(self._handle, nPropertyIDsCount, pPropertyIDsBuffer, pPropertyID)) return pPropertyID.value def SetMultiProperty(self, PropertyID, PropertyIDs): nPropertyID = ctypes.c_uint32(PropertyID) nPropertyIDsCount = ctypes.c_uint64(len(PropertyIDs)) pPropertyIDsBuffer = (ctypes.c_uint32*len(PropertyIDs))(*PropertyIDs) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_setmultiproperty(self._handle, nPropertyID, nPropertyIDsCount, pPropertyIDsBuffer)) def GetMultiProperty(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) nPropertyIDsCount = ctypes.c_uint64(0) nPropertyIDsNeededCount = ctypes.c_uint64(0) pPropertyIDsBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_getmultiproperty(self._handle, nPropertyID, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) nPropertyIDsCount = ctypes.c_uint64(nPropertyIDsNeededCount.value) pPropertyIDsBuffer = (ctypes.c_uint32 * nPropertyIDsNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_getmultiproperty(self._handle, nPropertyID, nPropertyIDsCount, nPropertyIDsNeededCount, pPropertyIDsBuffer)) return [pPropertyIDsBuffer[i] for i in range(nPropertyIDsNeededCount.value)] def RemoveMultiProperty(self, PropertyID): nPropertyID = ctypes.c_uint32(PropertyID) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_removemultiproperty(self._handle, nPropertyID)) def GetLayerCount(self): pCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_getlayercount(self._handle, pCount)) return pCount.value def AddLayer(self, TheLayer): pLayerIndex = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_addlayer(self._handle, TheLayer, pLayerIndex)) return pLayerIndex.value def GetLayer(self, LayerIndex): nLayerIndex = ctypes.c_uint32(LayerIndex) pTheLayer = MultiPropertyLayer() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_getlayer(self._handle, nLayerIndex, pTheLayer)) return pTheLayer def RemoveLayer(self, LayerIndex): nLayerIndex = ctypes.c_uint32(LayerIndex) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_multipropertygroup_removelayer(self._handle, nLayerIndex)) ''' Class Implementation for Attachment ''' class Attachment(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetPath(self): nPathBufferSize = ctypes.c_uint64(0) nPathNeededChars = ctypes.c_uint64(0) pPathBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_getpath(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) nPathBufferSize = ctypes.c_uint64(nPathNeededChars.value) pPathBuffer = (ctypes.c_char * (nPathNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_getpath(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) return pPathBuffer.value.decode() def SetPath(self, Path): pPath = ctypes.c_char_p(str.encode(Path)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_setpath(self._handle, pPath)) def PackagePart(self): PackagePartHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_packagepart(self._handle, PackagePartHandle)) if PackagePartHandle: PackagePartObject = PackagePart(PackagePartHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return PackagePartObject def GetRelationShipType(self): nPathBufferSize = ctypes.c_uint64(0) nPathNeededChars = ctypes.c_uint64(0) pPathBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_getrelationshiptype(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) nPathBufferSize = ctypes.c_uint64(nPathNeededChars.value) pPathBuffer = (ctypes.c_char * (nPathNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_getrelationshiptype(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) return pPathBuffer.value.decode() def SetRelationShipType(self, Path): pPath = ctypes.c_char_p(str.encode(Path)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_setrelationshiptype(self._handle, pPath)) def WriteToFile(self, FileName): pFileName = ctypes.c_char_p(str.encode(FileName)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_writetofile(self._handle, pFileName)) def ReadFromFile(self, FileName): pFileName = ctypes.c_char_p(str.encode(FileName)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_readfromfile(self._handle, pFileName)) def ReadFromCallback(self, TheReadCallbackFunc, StreamSize, TheSeekCallbackFunc, UserData): nStreamSize = ctypes.c_uint64(StreamSize) pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_readfromcallback(self._handle, TheReadCallbackFunc, nStreamSize, TheSeekCallbackFunc, pUserData)) def GetStreamSize(self): pStreamSize = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_getstreamsize(self._handle, pStreamSize)) return pStreamSize.value def WriteToBuffer(self): nBufferCount = ctypes.c_uint64(0) nBufferNeededCount = ctypes.c_uint64(0) pBufferBuffer = (ctypes.c_uint8*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_writetobuffer(self._handle, nBufferCount, nBufferNeededCount, pBufferBuffer)) nBufferCount = ctypes.c_uint64(nBufferNeededCount.value) pBufferBuffer = (ctypes.c_uint8 * nBufferNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_writetobuffer(self._handle, nBufferCount, nBufferNeededCount, pBufferBuffer)) return [pBufferBuffer[i] for i in range(nBufferNeededCount.value)] def ReadFromBuffer(self, Buffer): nBufferCount = ctypes.c_uint64(len(Buffer)) pBufferBuffer = (ctypes.c_uint8*len(Buffer))(*Buffer) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_attachment_readfrombuffer(self._handle, nBufferCount, pBufferBuffer)) ''' Class Implementation for Texture2D ''' class Texture2D(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetAttachment(self): AttachmentHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_getattachment(self._handle, AttachmentHandle)) if AttachmentHandle: AttachmentObject = Attachment(AttachmentHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return AttachmentObject def SetAttachment(self, AttachmentObject): AttachmentHandle = None if AttachmentObject: AttachmentHandle = AttachmentObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_setattachment(self._handle, AttachmentHandle)) def GetContentType(self): pContentType = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_getcontenttype(self._handle, pContentType)) return TextureType(pContentType.value) def SetContentType(self, ContentType): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_setcontenttype(self._handle, ContentType)) def GetTileStyleUV(self): pTileStyleU = ctypes.c_int32() pTileStyleV = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_gettilestyleuv(self._handle, pTileStyleU, pTileStyleV)) return TextureTileStyle(pTileStyleU.value), TextureTileStyle(pTileStyleV.value) def SetTileStyleUV(self, TileStyleU, TileStyleV): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_settilestyleuv(self._handle, TileStyleU, TileStyleV)) def GetFilter(self): pFilter = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_getfilter(self._handle, pFilter)) return TextureFilter(pFilter.value) def SetFilter(self, Filter): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_texture2d_setfilter(self._handle, Filter)) ''' Class Implementation for BuildItem ''' class BuildItem(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetObjectResource(self): ObjectResourceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getobjectresource(self._handle, ObjectResourceHandle)) if ObjectResourceHandle: ObjectResourceObject = Object(ObjectResourceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ObjectResourceObject def GetUUID(self): pHasUUID = ctypes.c_bool() nUUIDBufferSize = ctypes.c_uint64(0) nUUIDNeededChars = ctypes.c_uint64(0) pUUIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) nUUIDBufferSize = ctypes.c_uint64(nUUIDNeededChars.value) pUUIDBuffer = (ctypes.c_char * (nUUIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) return pHasUUID.value, pUUIDBuffer.value.decode() def SetUUID(self, UUID): pUUID = ctypes.c_char_p(str.encode(UUID)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_setuuid(self._handle, pUUID)) def GetObjectResourceID(self): pUniqueResourceID = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getobjectresourceid(self._handle, pUniqueResourceID)) return pUniqueResourceID.value def HasObjectTransform(self): pHasTransform = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_hasobjecttransform(self._handle, pHasTransform)) return pHasTransform.value def GetObjectTransform(self): pTransform = Transform() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getobjecttransform(self._handle, pTransform)) return pTransform def SetObjectTransform(self, Transform): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_setobjecttransform(self._handle, Transform)) def GetPartNumber(self): nPartNumberBufferSize = ctypes.c_uint64(0) nPartNumberNeededChars = ctypes.c_uint64(0) pPartNumberBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getpartnumber(self._handle, nPartNumberBufferSize, nPartNumberNeededChars, pPartNumberBuffer)) nPartNumberBufferSize = ctypes.c_uint64(nPartNumberNeededChars.value) pPartNumberBuffer = (ctypes.c_char * (nPartNumberNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getpartnumber(self._handle, nPartNumberBufferSize, nPartNumberNeededChars, pPartNumberBuffer)) return pPartNumberBuffer.value.decode() def SetPartNumber(self, SetPartnumber): pSetPartnumber = ctypes.c_char_p(str.encode(SetPartnumber)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_setpartnumber(self._handle, pSetPartnumber)) def GetMetaDataGroup(self): MetaDataGroupHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getmetadatagroup(self._handle, MetaDataGroupHandle)) if MetaDataGroupHandle: MetaDataGroupObject = MetaDataGroup(MetaDataGroupHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MetaDataGroupObject def GetOutbox(self): pOutbox = Box() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditem_getoutbox(self._handle, pOutbox)) return pOutbox ''' Class Implementation for BuildItemIterator ''' class BuildItemIterator(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def MoveNext(self): pHasNext = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditemiterator_movenext(self._handle, pHasNext)) return pHasNext.value def MovePrevious(self): pHasPrevious = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditemiterator_moveprevious(self._handle, pHasPrevious)) return pHasPrevious.value def GetCurrent(self): BuildItemHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditemiterator_getcurrent(self._handle, BuildItemHandle)) if BuildItemHandle: BuildItemObject = BuildItem(BuildItemHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BuildItemObject def Clone(self): OutBuildItemIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditemiterator_clone(self._handle, OutBuildItemIteratorHandle)) if OutBuildItemIteratorHandle: OutBuildItemIteratorObject = BuildItemIterator(OutBuildItemIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return OutBuildItemIteratorObject def Count(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_builditemiterator_count(self._handle, pCount)) return pCount.value ''' Class Implementation for Slice ''' class Slice(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def SetVertices(self, Vertices): nVerticesCount = ctypes.c_uint64(len(Vertices)) pVerticesBuffer = (Position2D*len(Vertices))(*Vertices) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_setvertices(self._handle, nVerticesCount, pVerticesBuffer)) def GetVertices(self): nVerticesCount = ctypes.c_uint64(0) nVerticesNeededCount = ctypes.c_uint64(0) pVerticesBuffer = (Position2D*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getvertices(self._handle, nVerticesCount, nVerticesNeededCount, pVerticesBuffer)) nVerticesCount = ctypes.c_uint64(nVerticesNeededCount.value) pVerticesBuffer = (Position2D * nVerticesNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getvertices(self._handle, nVerticesCount, nVerticesNeededCount, pVerticesBuffer)) return [pVerticesBuffer[i] for i in range(nVerticesNeededCount.value)] def GetVertexCount(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getvertexcount(self._handle, pCount)) return pCount.value def AddPolygon(self, Indices): nIndicesCount = ctypes.c_uint64(len(Indices)) pIndicesBuffer = (ctypes.c_uint32*len(Indices))(*Indices) pIndex = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_addpolygon(self._handle, nIndicesCount, pIndicesBuffer, pIndex)) return pIndex.value def GetPolygonCount(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getpolygoncount(self._handle, pCount)) return pCount.value def SetPolygonIndices(self, Index, Indices): nIndex = ctypes.c_uint64(Index) nIndicesCount = ctypes.c_uint64(len(Indices)) pIndicesBuffer = (ctypes.c_uint32*len(Indices))(*Indices) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_setpolygonindices(self._handle, nIndex, nIndicesCount, pIndicesBuffer)) def GetPolygonIndices(self, Index): nIndex = ctypes.c_uint64(Index) nIndicesCount = ctypes.c_uint64(0) nIndicesNeededCount = ctypes.c_uint64(0) pIndicesBuffer = (ctypes.c_uint32*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getpolygonindices(self._handle, nIndex, nIndicesCount, nIndicesNeededCount, pIndicesBuffer)) nIndicesCount = ctypes.c_uint64(nIndicesNeededCount.value) pIndicesBuffer = (ctypes.c_uint32 * nIndicesNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getpolygonindices(self._handle, nIndex, nIndicesCount, nIndicesNeededCount, pIndicesBuffer)) return [pIndicesBuffer[i] for i in range(nIndicesNeededCount.value)] def GetPolygonIndexCount(self, Index): nIndex = ctypes.c_uint64(Index) pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getpolygonindexcount(self._handle, nIndex, pCount)) return pCount.value def GetZTop(self): pZTop = ctypes.c_double() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slice_getztop(self._handle, pZTop)) return pZTop.value ''' Class Implementation for SliceStack ''' class SliceStack(Resource): def __init__(self, handle, wrapper): Resource.__init__(self, handle, wrapper) def GetBottomZ(self): pZBottom = ctypes.c_double() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_getbottomz(self._handle, pZBottom)) return pZBottom.value def GetSliceCount(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_getslicecount(self._handle, pCount)) return pCount.value def GetSlice(self, SliceIndex): nSliceIndex = ctypes.c_uint64(SliceIndex) TheSliceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_getslice(self._handle, nSliceIndex, TheSliceHandle)) if TheSliceHandle: TheSliceObject = Slice(TheSliceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return TheSliceObject def AddSlice(self, ZTop): dZTop = ctypes.c_double(ZTop) TheSliceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_addslice(self._handle, dZTop, TheSliceHandle)) if TheSliceHandle: TheSliceObject = Slice(TheSliceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return TheSliceObject def GetSliceRefCount(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_getslicerefcount(self._handle, pCount)) return pCount.value def AddSliceStackReference(self, TheSliceStackObject): TheSliceStackHandle = None if TheSliceStackObject: TheSliceStackHandle = TheSliceStackObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_addslicestackreference(self._handle, TheSliceStackHandle)) def GetSliceStackReference(self, SliceRefIndex): nSliceRefIndex = ctypes.c_uint64(SliceRefIndex) TheSliceStackHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_getslicestackreference(self._handle, nSliceRefIndex, TheSliceStackHandle)) if TheSliceStackHandle: TheSliceStackObject = SliceStack(TheSliceStackHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return TheSliceStackObject def CollapseSliceReferences(self): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_collapseslicereferences(self._handle)) def SetOwnPath(self, Path): pPath = ctypes.c_char_p(str.encode(Path)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_setownpath(self._handle, pPath)) def GetOwnPath(self): nPathBufferSize = ctypes.c_uint64(0) nPathNeededChars = ctypes.c_uint64(0) pPathBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_getownpath(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) nPathBufferSize = ctypes.c_uint64(nPathNeededChars.value) pPathBuffer = (ctypes.c_char * (nPathNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_slicestack_getownpath(self._handle, nPathBufferSize, nPathNeededChars, pPathBuffer)) return pPathBuffer.value.decode() ''' Class Implementation for Consumer ''' class Consumer(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetConsumerID(self): nConsumerIDBufferSize = ctypes.c_uint64(0) nConsumerIDNeededChars = ctypes.c_uint64(0) pConsumerIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_consumer_getconsumerid(self._handle, nConsumerIDBufferSize, nConsumerIDNeededChars, pConsumerIDBuffer)) nConsumerIDBufferSize = ctypes.c_uint64(nConsumerIDNeededChars.value) pConsumerIDBuffer = (ctypes.c_char * (nConsumerIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_consumer_getconsumerid(self._handle, nConsumerIDBufferSize, nConsumerIDNeededChars, pConsumerIDBuffer)) return pConsumerIDBuffer.value.decode() def GetKeyID(self): nKeyIDBufferSize = ctypes.c_uint64(0) nKeyIDNeededChars = ctypes.c_uint64(0) pKeyIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_consumer_getkeyid(self._handle, nKeyIDBufferSize, nKeyIDNeededChars, pKeyIDBuffer)) nKeyIDBufferSize = ctypes.c_uint64(nKeyIDNeededChars.value) pKeyIDBuffer = (ctypes.c_char * (nKeyIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_consumer_getkeyid(self._handle, nKeyIDBufferSize, nKeyIDNeededChars, pKeyIDBuffer)) return pKeyIDBuffer.value.decode() def GetKeyValue(self): nKeyValueBufferSize = ctypes.c_uint64(0) nKeyValueNeededChars = ctypes.c_uint64(0) pKeyValueBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_consumer_getkeyvalue(self._handle, nKeyValueBufferSize, nKeyValueNeededChars, pKeyValueBuffer)) nKeyValueBufferSize = ctypes.c_uint64(nKeyValueNeededChars.value) pKeyValueBuffer = (ctypes.c_char * (nKeyValueNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_consumer_getkeyvalue(self._handle, nKeyValueBufferSize, nKeyValueNeededChars, pKeyValueBuffer)) return pKeyValueBuffer.value.decode() ''' Class Implementation for AccessRight ''' class AccessRight(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetConsumer(self): ConsumerHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_accessright_getconsumer(self._handle, ConsumerHandle)) if ConsumerHandle: ConsumerObject = Consumer(ConsumerHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ConsumerObject def GetWrappingAlgorithm(self): pAlgorithm = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_accessright_getwrappingalgorithm(self._handle, pAlgorithm)) return WrappingAlgorithm(pAlgorithm.value) def GetMgfAlgorithm(self): pAlgorithm = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_accessright_getmgfalgorithm(self._handle, pAlgorithm)) return MgfAlgorithm(pAlgorithm.value) def GetDigestMethod(self): pAlgorithm = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_accessright_getdigestmethod(self._handle, pAlgorithm)) return DigestMethod(pAlgorithm.value) ''' Class Implementation for ContentEncryptionParams ''' class ContentEncryptionParams(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetEncryptionAlgorithm(self): pAlgorithm = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getencryptionalgorithm(self._handle, pAlgorithm)) return EncryptionAlgorithm(pAlgorithm.value) def GetKey(self): nByteDataCount = ctypes.c_uint64(0) nByteDataNeededCount = ctypes.c_uint64(0) pByteDataBuffer = (ctypes.c_uint8*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getkey(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) nByteDataCount = ctypes.c_uint64(nByteDataNeededCount.value) pByteDataBuffer = (ctypes.c_uint8 * nByteDataNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getkey(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) return [pByteDataBuffer[i] for i in range(nByteDataNeededCount.value)] def GetInitializationVector(self): nByteDataCount = ctypes.c_uint64(0) nByteDataNeededCount = ctypes.c_uint64(0) pByteDataBuffer = (ctypes.c_uint8*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getinitializationvector(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) nByteDataCount = ctypes.c_uint64(nByteDataNeededCount.value) pByteDataBuffer = (ctypes.c_uint8 * nByteDataNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getinitializationvector(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) return [pByteDataBuffer[i] for i in range(nByteDataNeededCount.value)] def GetAuthenticationTag(self): nByteDataCount = ctypes.c_uint64(0) nByteDataNeededCount = ctypes.c_uint64(0) pByteDataBuffer = (ctypes.c_uint8*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getauthenticationtag(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) nByteDataCount = ctypes.c_uint64(nByteDataNeededCount.value) pByteDataBuffer = (ctypes.c_uint8 * nByteDataNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getauthenticationtag(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) return [pByteDataBuffer[i] for i in range(nByteDataNeededCount.value)] def SetAuthenticationTag(self, ByteData): nByteDataCount = ctypes.c_uint64(len(ByteData)) pByteDataBuffer = (ctypes.c_uint8*len(ByteData))(*ByteData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_setauthenticationtag(self._handle, nByteDataCount, pByteDataBuffer)) def GetAdditionalAuthenticationData(self): nByteDataCount = ctypes.c_uint64(0) nByteDataNeededCount = ctypes.c_uint64(0) pByteDataBuffer = (ctypes.c_uint8*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getadditionalauthenticationdata(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) nByteDataCount = ctypes.c_uint64(nByteDataNeededCount.value) pByteDataBuffer = (ctypes.c_uint8 * nByteDataNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getadditionalauthenticationdata(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) return [pByteDataBuffer[i] for i in range(nByteDataNeededCount.value)] def GetDescriptor(self): pDescriptor = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getdescriptor(self._handle, pDescriptor)) return pDescriptor.value def GetKeyUUID(self): nUUIDBufferSize = ctypes.c_uint64(0) nUUIDNeededChars = ctypes.c_uint64(0) pUUIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getkeyuuid(self._handle, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) nUUIDBufferSize = ctypes.c_uint64(nUUIDNeededChars.value) pUUIDBuffer = (ctypes.c_char * (nUUIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_contentencryptionparams_getkeyuuid(self._handle, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) return pUUIDBuffer.value.decode() ''' Class Implementation for ResourceData ''' class ResourceData(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetPath(self): PathHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedata_getpath(self._handle, PathHandle)) if PathHandle: PathObject = PackagePart(PathHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return PathObject def GetEncryptionAlgorithm(self): pEncryptionAlgorithm = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedata_getencryptionalgorithm(self._handle, pEncryptionAlgorithm)) return EncryptionAlgorithm(pEncryptionAlgorithm.value) def GetCompression(self): pCompression = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedata_getcompression(self._handle, pCompression)) return Compression(pCompression.value) def GetAdditionalAuthenticationData(self): nByteDataCount = ctypes.c_uint64(0) nByteDataNeededCount = ctypes.c_uint64(0) pByteDataBuffer = (ctypes.c_uint8*0)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedata_getadditionalauthenticationdata(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) nByteDataCount = ctypes.c_uint64(nByteDataNeededCount.value) pByteDataBuffer = (ctypes.c_uint8 * nByteDataNeededCount.value)() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedata_getadditionalauthenticationdata(self._handle, nByteDataCount, nByteDataNeededCount, pByteDataBuffer)) return [pByteDataBuffer[i] for i in range(nByteDataNeededCount.value)] ''' Class Implementation for ResourceDataGroup ''' class ResourceDataGroup(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def GetKeyUUID(self): nUUIDBufferSize = ctypes.c_uint64(0) nUUIDNeededChars = ctypes.c_uint64(0) pUUIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedatagroup_getkeyuuid(self._handle, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) nUUIDBufferSize = ctypes.c_uint64(nUUIDNeededChars.value) pUUIDBuffer = (ctypes.c_char * (nUUIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedatagroup_getkeyuuid(self._handle, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) return pUUIDBuffer.value.decode() def AddAccessRight(self, ConsumerObject, WrappingAlgorithm, MgfAlgorithm, DigestMethod): ConsumerHandle = None if ConsumerObject: ConsumerHandle = ConsumerObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') TheAccessRightHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedatagroup_addaccessright(self._handle, ConsumerHandle, WrappingAlgorithm, MgfAlgorithm, DigestMethod, TheAccessRightHandle)) if TheAccessRightHandle: TheAccessRightObject = AccessRight(TheAccessRightHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return TheAccessRightObject def FindAccessRightByConsumer(self, ConsumerObject): ConsumerHandle = None if ConsumerObject: ConsumerHandle = ConsumerObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') TheAccessRightHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedatagroup_findaccessrightbyconsumer(self._handle, ConsumerHandle, TheAccessRightHandle)) if TheAccessRightHandle: TheAccessRightObject = AccessRight(TheAccessRightHandle, self._wrapper) else: TheAccessRightObject = None return TheAccessRightObject def RemoveAccessRight(self, ConsumerObject): ConsumerHandle = None if ConsumerObject: ConsumerHandle = ConsumerObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_resourcedatagroup_removeaccessright(self._handle, ConsumerHandle)) ''' Class Implementation for KeyStore ''' class KeyStore(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def AddConsumer(self, ConsumerID, KeyID, KeyValue): pConsumerID = ctypes.c_char_p(str.encode(ConsumerID)) pKeyID = ctypes.c_char_p(str.encode(KeyID)) pKeyValue = ctypes.c_char_p(str.encode(KeyValue)) ConsumerHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_addconsumer(self._handle, pConsumerID, pKeyID, pKeyValue, ConsumerHandle)) if ConsumerHandle: ConsumerObject = Consumer(ConsumerHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ConsumerObject def GetConsumerCount(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getconsumercount(self._handle, pCount)) return pCount.value def GetConsumer(self, ConsumerIndex): nConsumerIndex = ctypes.c_uint64(ConsumerIndex) ConsumerHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getconsumer(self._handle, nConsumerIndex, ConsumerHandle)) if ConsumerHandle: ConsumerObject = Consumer(ConsumerHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ConsumerObject def RemoveConsumer(self, ConsumerObject): ConsumerHandle = None if ConsumerObject: ConsumerHandle = ConsumerObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_removeconsumer(self._handle, ConsumerHandle)) def FindConsumer(self, ConsumerID): pConsumerID = ctypes.c_char_p(str.encode(ConsumerID)) ConsumerHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_findconsumer(self._handle, pConsumerID, ConsumerHandle)) if ConsumerHandle: ConsumerObject = Consumer(ConsumerHandle, self._wrapper) else: ConsumerObject = None return ConsumerObject def GetResourceDataGroupCount(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getresourcedatagroupcount(self._handle, pCount)) return pCount.value def AddResourceDataGroup(self): ResourceDataGroupHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_addresourcedatagroup(self._handle, ResourceDataGroupHandle)) if ResourceDataGroupHandle: ResourceDataGroupObject = ResourceDataGroup(ResourceDataGroupHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceDataGroupObject def GetResourceDataGroup(self, ResourceDataIndex): nResourceDataIndex = ctypes.c_uint64(ResourceDataIndex) ResourceDataGroupHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getresourcedatagroup(self._handle, nResourceDataIndex, ResourceDataGroupHandle)) if ResourceDataGroupHandle: ResourceDataGroupObject = ResourceDataGroup(ResourceDataGroupHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceDataGroupObject def RemoveResourceDataGroup(self, ResourceDataGroupObject): ResourceDataGroupHandle = None if ResourceDataGroupObject: ResourceDataGroupHandle = ResourceDataGroupObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_removeresourcedatagroup(self._handle, ResourceDataGroupHandle)) def FindResourceDataGroup(self, PartPathObject): PartPathHandle = None if PartPathObject: PartPathHandle = PartPathObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') ResourceDataGroupHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_findresourcedatagroup(self._handle, PartPathHandle, ResourceDataGroupHandle)) if ResourceDataGroupHandle: ResourceDataGroupObject = ResourceDataGroup(ResourceDataGroupHandle, self._wrapper) else: ResourceDataGroupObject = None return ResourceDataGroupObject def AddResourceData(self, ResourceDataGroupObject, PartPathObject, Algorithm, Compression, AdditionalAuthenticationData): ResourceDataGroupHandle = None if ResourceDataGroupObject: ResourceDataGroupHandle = ResourceDataGroupObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') PartPathHandle = None if PartPathObject: PartPathHandle = PartPathObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') nAdditionalAuthenticationDataCount = ctypes.c_uint64(len(AdditionalAuthenticationData)) pAdditionalAuthenticationDataBuffer = (ctypes.c_uint8*len(AdditionalAuthenticationData))(*AdditionalAuthenticationData) ResourceDataHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_addresourcedata(self._handle, ResourceDataGroupHandle, PartPathHandle, Algorithm, Compression, nAdditionalAuthenticationDataCount, pAdditionalAuthenticationDataBuffer, ResourceDataHandle)) if ResourceDataHandle: ResourceDataObject = ResourceData(ResourceDataHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceDataObject def RemoveResourceData(self, ResourceDataObject): ResourceDataHandle = None if ResourceDataObject: ResourceDataHandle = ResourceDataObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_removeresourcedata(self._handle, ResourceDataHandle)) def FindResourceData(self, ResourcePathObject): ResourcePathHandle = None if ResourcePathObject: ResourcePathHandle = ResourcePathObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') ResourceDataHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_findresourcedata(self._handle, ResourcePathHandle, ResourceDataHandle)) if ResourceDataHandle: ResourceDataObject = ResourceData(ResourceDataHandle, self._wrapper) else: ResourceDataObject = None return ResourceDataObject def GetResourceDataCount(self): pCount = ctypes.c_uint64() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getresourcedatacount(self._handle, pCount)) return pCount.value def GetResourceData(self, ResourceDataIndex): nResourceDataIndex = ctypes.c_uint64(ResourceDataIndex) ResourceDataHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getresourcedata(self._handle, nResourceDataIndex, ResourceDataHandle)) if ResourceDataHandle: ResourceDataObject = ResourceData(ResourceDataHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceDataObject def GetUUID(self): pHasUUID = ctypes.c_bool() nUUIDBufferSize = ctypes.c_uint64(0) nUUIDNeededChars = ctypes.c_uint64(0) pUUIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) nUUIDBufferSize = ctypes.c_uint64(nUUIDNeededChars.value) pUUIDBuffer = (ctypes.c_char * (nUUIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_getuuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) return pHasUUID.value, pUUIDBuffer.value.decode() def SetUUID(self, UUID): pUUID = ctypes.c_char_p(str.encode(UUID)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_keystore_setuuid(self._handle, pUUID)) ''' Class Implementation for Model ''' class Model(Base): def __init__(self, handle, wrapper): Base.__init__(self, handle, wrapper) def RootModelPart(self): RootModelPartHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_rootmodelpart(self._handle, RootModelPartHandle)) if RootModelPartHandle: RootModelPartObject = PackagePart(RootModelPartHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return RootModelPartObject def FindOrCreatePackagePart(self, AbsolutePath): pAbsolutePath = ctypes.c_char_p(str.encode(AbsolutePath)) ModelPartHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_findorcreatepackagepart(self._handle, pAbsolutePath, ModelPartHandle)) if ModelPartHandle: ModelPartObject = PackagePart(ModelPartHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ModelPartObject def SetUnit(self, Unit): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_setunit(self._handle, Unit)) def GetUnit(self): pUnit = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getunit(self._handle, pUnit)) return ModelUnit(pUnit.value) def GetLanguage(self): nLanguageBufferSize = ctypes.c_uint64(0) nLanguageNeededChars = ctypes.c_uint64(0) pLanguageBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getlanguage(self._handle, nLanguageBufferSize, nLanguageNeededChars, pLanguageBuffer)) nLanguageBufferSize = ctypes.c_uint64(nLanguageNeededChars.value) pLanguageBuffer = (ctypes.c_char * (nLanguageNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getlanguage(self._handle, nLanguageBufferSize, nLanguageNeededChars, pLanguageBuffer)) return pLanguageBuffer.value.decode() def SetLanguage(self, Language): pLanguage = ctypes.c_char_p(str.encode(Language)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_setlanguage(self._handle, pLanguage)) def QueryWriter(self, WriterClass): pWriterClass = ctypes.c_char_p(str.encode(WriterClass)) WriterInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_querywriter(self._handle, pWriterClass, WriterInstanceHandle)) if WriterInstanceHandle: WriterInstanceObject = Writer(WriterInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return WriterInstanceObject def QueryReader(self, ReaderClass): pReaderClass = ctypes.c_char_p(str.encode(ReaderClass)) ReaderInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_queryreader(self._handle, pReaderClass, ReaderInstanceHandle)) if ReaderInstanceHandle: ReaderInstanceObject = Reader(ReaderInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ReaderInstanceObject def GetTexture2DByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) TextureInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_gettexture2dbyid(self._handle, nUniqueResourceID, TextureInstanceHandle)) if TextureInstanceHandle: TextureInstanceObject = Texture2D(TextureInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return TextureInstanceObject def GetPropertyTypeByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) pThePropertyType = ctypes.c_int32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getpropertytypebyid(self._handle, nUniqueResourceID, pThePropertyType)) return PropertyType(pThePropertyType.value) def GetBaseMaterialGroupByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) BaseMaterialGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getbasematerialgroupbyid(self._handle, nUniqueResourceID, BaseMaterialGroupInstanceHandle)) if BaseMaterialGroupInstanceHandle: BaseMaterialGroupInstanceObject = BaseMaterialGroup(BaseMaterialGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BaseMaterialGroupInstanceObject def GetTexture2DGroupByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) Texture2DGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_gettexture2dgroupbyid(self._handle, nUniqueResourceID, Texture2DGroupInstanceHandle)) if Texture2DGroupInstanceHandle: Texture2DGroupInstanceObject = Texture2DGroup(Texture2DGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return Texture2DGroupInstanceObject def GetCompositeMaterialsByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) CompositeMaterialsInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getcompositematerialsbyid(self._handle, nUniqueResourceID, CompositeMaterialsInstanceHandle)) if CompositeMaterialsInstanceHandle: CompositeMaterialsInstanceObject = CompositeMaterials(CompositeMaterialsInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return CompositeMaterialsInstanceObject def GetMultiPropertyGroupByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) MultiPropertyGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getmultipropertygroupbyid(self._handle, nUniqueResourceID, MultiPropertyGroupInstanceHandle)) if MultiPropertyGroupInstanceHandle: MultiPropertyGroupInstanceObject = MultiPropertyGroup(MultiPropertyGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MultiPropertyGroupInstanceObject def GetMeshObjectByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) MeshObjectInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getmeshobjectbyid(self._handle, nUniqueResourceID, MeshObjectInstanceHandle)) if MeshObjectInstanceHandle: MeshObjectInstanceObject = MeshObject(MeshObjectInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MeshObjectInstanceObject def GetComponentsObjectByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) ComponentsObjectInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getcomponentsobjectbyid(self._handle, nUniqueResourceID, ComponentsObjectInstanceHandle)) if ComponentsObjectInstanceHandle: ComponentsObjectInstanceObject = ComponentsObject(ComponentsObjectInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ComponentsObjectInstanceObject def GetColorGroupByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) ColorGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getcolorgroupbyid(self._handle, nUniqueResourceID, ColorGroupInstanceHandle)) if ColorGroupInstanceHandle: ColorGroupInstanceObject = ColorGroup(ColorGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ColorGroupInstanceObject def GetSliceStackByID(self, UniqueResourceID): nUniqueResourceID = ctypes.c_uint32(UniqueResourceID) SliceStacInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getslicestackbyid(self._handle, nUniqueResourceID, SliceStacInstanceHandle)) if SliceStacInstanceHandle: SliceStacInstanceObject = SliceStack(SliceStacInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return SliceStacInstanceObject def GetBuildUUID(self): pHasUUID = ctypes.c_bool() nUUIDBufferSize = ctypes.c_uint64(0) nUUIDNeededChars = ctypes.c_uint64(0) pUUIDBuffer = ctypes.c_char_p(None) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getbuilduuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) nUUIDBufferSize = ctypes.c_uint64(nUUIDNeededChars.value) pUUIDBuffer = (ctypes.c_char * (nUUIDNeededChars.value))() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getbuilduuid(self._handle, pHasUUID, nUUIDBufferSize, nUUIDNeededChars, pUUIDBuffer)) return pHasUUID.value, pUUIDBuffer.value.decode() def SetBuildUUID(self, UUID): pUUID = ctypes.c_char_p(str.encode(UUID)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_setbuilduuid(self._handle, pUUID)) def GetBuildItems(self): BuildItemIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getbuilditems(self._handle, BuildItemIteratorHandle)) if BuildItemIteratorHandle: BuildItemIteratorObject = BuildItemIterator(BuildItemIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BuildItemIteratorObject def GetOutbox(self): pOutbox = Box() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getoutbox(self._handle, pOutbox)) return pOutbox def GetResources(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getresources(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = ResourceIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetObjects(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getobjects(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = ObjectIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetMeshObjects(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getmeshobjects(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = MeshObjectIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetComponentsObjects(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getcomponentsobjects(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = ComponentsObjectIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetTexture2Ds(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_gettexture2ds(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = Texture2DIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetBaseMaterialGroups(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getbasematerialgroups(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = BaseMaterialGroupIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetColorGroups(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getcolorgroups(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = ColorGroupIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetTexture2DGroups(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_gettexture2dgroups(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = Texture2DGroupIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetCompositeMaterials(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getcompositematerials(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = CompositeMaterialsIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetMultiPropertyGroups(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getmultipropertygroups(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = MultiPropertyGroupIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def GetSliceStacks(self): ResourceIteratorHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getslicestacks(self._handle, ResourceIteratorHandle)) if ResourceIteratorHandle: ResourceIteratorObject = SliceStackIterator(ResourceIteratorHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ResourceIteratorObject def MergeToModel(self): MergedModelInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_mergetomodel(self._handle, MergedModelInstanceHandle)) if MergedModelInstanceHandle: MergedModelInstanceObject = Model(MergedModelInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MergedModelInstanceObject def AddMeshObject(self): MeshObjectInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addmeshobject(self._handle, MeshObjectInstanceHandle)) if MeshObjectInstanceHandle: MeshObjectInstanceObject = MeshObject(MeshObjectInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MeshObjectInstanceObject def AddComponentsObject(self): ComponentsObjectInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addcomponentsobject(self._handle, ComponentsObjectInstanceHandle)) if ComponentsObjectInstanceHandle: ComponentsObjectInstanceObject = ComponentsObject(ComponentsObjectInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ComponentsObjectInstanceObject def AddSliceStack(self, ZBottom): dZBottom = ctypes.c_double(ZBottom) SliceStackInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addslicestack(self._handle, dZBottom, SliceStackInstanceHandle)) if SliceStackInstanceHandle: SliceStackInstanceObject = SliceStack(SliceStackInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return SliceStackInstanceObject def AddTexture2DFromAttachment(self, TextureAttachmentObject): TextureAttachmentHandle = None if TextureAttachmentObject: TextureAttachmentHandle = TextureAttachmentObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') Texture2DInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addtexture2dfromattachment(self._handle, TextureAttachmentHandle, Texture2DInstanceHandle)) if Texture2DInstanceHandle: Texture2DInstanceObject = Texture2D(Texture2DInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return Texture2DInstanceObject def AddBaseMaterialGroup(self): BaseMaterialGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addbasematerialgroup(self._handle, BaseMaterialGroupInstanceHandle)) if BaseMaterialGroupInstanceHandle: BaseMaterialGroupInstanceObject = BaseMaterialGroup(BaseMaterialGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BaseMaterialGroupInstanceObject def AddColorGroup(self): ColorGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addcolorgroup(self._handle, ColorGroupInstanceHandle)) if ColorGroupInstanceHandle: ColorGroupInstanceObject = ColorGroup(ColorGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return ColorGroupInstanceObject def AddTexture2DGroup(self, Texture2DInstanceObject): Texture2DInstanceHandle = None if Texture2DInstanceObject: Texture2DInstanceHandle = Texture2DInstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') Texture2DGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addtexture2dgroup(self._handle, Texture2DInstanceHandle, Texture2DGroupInstanceHandle)) if Texture2DGroupInstanceHandle: Texture2DGroupInstanceObject = Texture2DGroup(Texture2DGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return Texture2DGroupInstanceObject def AddCompositeMaterials(self, BaseMaterialGroupInstanceObject): BaseMaterialGroupInstanceHandle = None if BaseMaterialGroupInstanceObject: BaseMaterialGroupInstanceHandle = BaseMaterialGroupInstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') CompositeMaterialsInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addcompositematerials(self._handle, BaseMaterialGroupInstanceHandle, CompositeMaterialsInstanceHandle)) if CompositeMaterialsInstanceHandle: CompositeMaterialsInstanceObject = CompositeMaterials(CompositeMaterialsInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return CompositeMaterialsInstanceObject def AddMultiPropertyGroup(self): MultiPropertyGroupInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addmultipropertygroup(self._handle, MultiPropertyGroupInstanceHandle)) if MultiPropertyGroupInstanceHandle: MultiPropertyGroupInstanceObject = MultiPropertyGroup(MultiPropertyGroupInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return MultiPropertyGroupInstanceObject def AddBuildItem(self, ObjectObject, Transform): ObjectHandle = None if ObjectObject: ObjectHandle = ObjectObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') BuildItemInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addbuilditem(self._handle, ObjectHandle, Transform, BuildItemInstanceHandle)) if BuildItemInstanceHandle: BuildItemInstanceObject = BuildItem(BuildItemInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return BuildItemInstanceObject def RemoveBuildItem(self, BuildItemInstanceObject): BuildItemInstanceHandle = None if BuildItemInstanceObject: BuildItemInstanceHandle = BuildItemInstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_removebuilditem(self._handle, BuildItemInstanceHandle)) def GetMetaDataGroup(self): TheMetaDataGroupHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getmetadatagroup(self._handle, TheMetaDataGroupHandle)) if TheMetaDataGroupHandle: TheMetaDataGroupObject = MetaDataGroup(TheMetaDataGroupHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return TheMetaDataGroupObject def AddAttachment(self, URI, RelationShipType): pURI = ctypes.c_char_p(str.encode(URI)) pRelationShipType = ctypes.c_char_p(str.encode(RelationShipType)) AttachmentInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addattachment(self._handle, pURI, pRelationShipType, AttachmentInstanceHandle)) if AttachmentInstanceHandle: AttachmentInstanceObject = Attachment(AttachmentInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return AttachmentInstanceObject def RemoveAttachment(self, AttachmentInstanceObject): AttachmentInstanceHandle = None if AttachmentInstanceObject: AttachmentInstanceHandle = AttachmentInstanceObject._handle else: raise ELib3MFException(ErrorCodes.INVALIDPARAM, 'Invalid return/output value') self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_removeattachment(self._handle, AttachmentInstanceHandle)) def GetAttachment(self, Index): nIndex = ctypes.c_uint32(Index) AttachmentInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getattachment(self._handle, nIndex, AttachmentInstanceHandle)) if AttachmentInstanceHandle: AttachmentInstanceObject = Attachment(AttachmentInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return AttachmentInstanceObject def FindAttachment(self, URI): pURI = ctypes.c_char_p(str.encode(URI)) AttachmentInstanceHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_findattachment(self._handle, pURI, AttachmentInstanceHandle)) if AttachmentInstanceHandle: AttachmentInstanceObject = Attachment(AttachmentInstanceHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return AttachmentInstanceObject def GetAttachmentCount(self): pAttachmentCount = ctypes.c_uint32() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getattachmentcount(self._handle, pAttachmentCount)) return pAttachmentCount.value def HasPackageThumbnailAttachment(self): pHasThumbnail = ctypes.c_bool() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_haspackagethumbnailattachment(self._handle, pHasThumbnail)) return pHasThumbnail.value def CreatePackageThumbnailAttachment(self): AttachmentHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_createpackagethumbnailattachment(self._handle, AttachmentHandle)) if AttachmentHandle: AttachmentObject = Attachment(AttachmentHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return AttachmentObject def GetPackageThumbnailAttachment(self): AttachmentHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getpackagethumbnailattachment(self._handle, AttachmentHandle)) if AttachmentHandle: AttachmentObject = Attachment(AttachmentHandle, self._wrapper) else: AttachmentObject = None return AttachmentObject def RemovePackageThumbnailAttachment(self): self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_removepackagethumbnailattachment(self._handle)) def AddCustomContentType(self, Extension, ContentType): pExtension = ctypes.c_char_p(str.encode(Extension)) pContentType = ctypes.c_char_p(str.encode(ContentType)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_addcustomcontenttype(self._handle, pExtension, pContentType)) def RemoveCustomContentType(self, Extension): pExtension = ctypes.c_char_p(str.encode(Extension)) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_removecustomcontenttype(self._handle, pExtension)) def SetRandomNumberCallback(self, TheCallbackFunc, UserData): pUserData = ctypes.c_void_p(UserData) self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_setrandomnumbercallback(self._handle, TheCallbackFunc, pUserData)) def GetKeyStore(self): KeyStoreHandle = ctypes.c_void_p() self._wrapper.checkError(self, self._wrapper.lib.lib3mf_model_getkeystore(self._handle, KeyStoreHandle)) if KeyStoreHandle: KeyStoreObject = KeyStore(KeyStoreHandle, self._wrapper) else: raise ELib3MFException(ErrorCodes.INVALIDCAST, 'Invalid return/output value') return KeyStoreObject

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6638c7835b80842234f927b7a52aa337842e3bd0

76

py

Python

corrcli/test/__init__.py

faical-yannick-congo/corr-cli

85f01b27b3735fba6270d1205f666196d6a7a70c

[ "MIT" ]

null

corrcli/test/__init__.py

faical-yannick-congo/corr-cli

85f01b27b3735fba6270d1205f666196d6a7a70c

[ "MIT" ]

5

2016-06-06T16:34:24.000Z

2016-06-13T13:04:40.000Z

corrcli/test/__init__.py

wd15/corr-cmd

320b37b6956cbe9c710d9995be872dcc6c881fed

[ "MIT" ]

null

api_key = 'c280480208dba6200038f311410d45d7377de3aab54bcdb43c9c9615a4167a5b'

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8

b07db796e18620b020337e51610afd6c42e6f633

2,457

py

Python

examples/echo-cli.py

rzbdz/libcoring

dffd4c2193ac4f2ab8822b5e047c056d6eb11f8d

[ "MIT" ]

4

2022-01-08T21:03:07.000Z

2022-02-18T11:15:10.000Z

examples/echo-cli.py

rzbdz/libcoring

dffd4c2193ac4f2ab8822b5e047c056d6eb11f8d

[ "MIT" ]

null

examples/echo-cli.py

rzbdz/libcoring

dffd4c2193ac4f2ab8822b5e047c056d6eb11f8d

[ "MIT" ]

null

#!/usr/bin/env python3 # funny helper to try echo_server.cpp # use https://github.com/haraldh/rust_echo_bench for further testingc import socket HOST = "127.0.0.1" # The server's hostname or IP address PORT = 9982 # The port used by the server with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: start = 1 junks = bytes( "HFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDNGKJDSGDSKL:NGEJNGOSDHGLKDSGJWE:LFHODSGNSDLGHDGLKSDJKGJDKSJGKSDGJKSDHFLSDN*(KJDS*(DSKL:N*(EJN*(OSDH*(LKDS*(JWE:LFHODS*(NSDL*(HD*(LKSDJK*(JDKSJ*(KSD*(JKSDHFLSDN*(KJDS*(DSKL:N*(EJN*(OSDH*(LKDS*(JWE:LFHODS*(NSDL*(HD*(LKSDJK*(JDKSJ*(KSD*(JKSDHFLSDN*(KJDS*(DSKL:N*(EJN*(OSDH*(LKDS*(JWE:LFHODS*(NSDL*(HD*(LKSDJK*(JDKSJ*(KSD*(JKSDHFLSDN*(KJDS*(DSKL:N*(EJN*(OSDH*(LKDS*(JWE:LFHODS*(NSDL*(HD*(LKSDJK*(JDKSJ*(KSD*(JKSDHFLSDN*(KJDS*(DSKL:N*(EJN*(OSDH*(LKDS*(JWE:LFHODS*(NSDL*(HD*(LKSDJK*(JDKSJ*(KSD*(JKSDHFLSDN*(KJDS*(DSKL:N*(EJN*(OSDH*(LKDS*(JWE:LFHODS*(NSDL*(HD*(LKSDJK*(JDKSJ*(KSD*(JKSDHFLSDN*(KJDS*(DSKL:N*(EJN*(OSDH*(LKDS*(JWE:LFHODS*(NSDL*(HD*(LKSDJK*(JDKSJ*(KSD*(JKSD", 'utf-8') index = 0 s.connect((HOST, PORT)) print("connected, len is ", len(junks)) s.sendall(junks) print("sent") data = s.recv(len(junks) * 3) print(f"recv:{data!r}") while ((len(data) < len(junks) * 3)): now = s.recv(len(junks)) if (len(now) == 0): break data += now print(f"recv again, {data!r}") if (junks.decode('utf-8') != data.decode('utf-8')): print('fuck, total: ', len(data)) else: print('Thankyou, you are correct, toal recv: ', len(data))

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7.110687

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1

0

1

0

1

null

0

7

b08764669866236e72e32c900edd2a7ebf99dc46

112

py

Python

tests/test_main.py

karin0018/EduNLP

172c36a2cd2c41a1f1c5833d7b1abcbc5e3bbd5f

[ "Apache-2.0" ]

18

2021-02-15T13:10:42.000Z

2022-03-17T12:57:34.000Z

tests/test_main.py

karin0018/EduNLP

172c36a2cd2c41a1f1c5833d7b1abcbc5e3bbd5f

[ "Apache-2.0" ]

81

2021-06-02T07:45:20.000Z

2022-03-29T15:21:32.000Z

tests/test_main.py

karin0018/EduNLP

172c36a2cd2c41a1f1c5833d7b1abcbc5e3bbd5f

[ "Apache-2.0" ]

29

2021-05-18T08:34:58.000Z

2022-03-12T00:19:09.000Z

# coding: utf-8 # 2021/8/2 @ tongshiwei from EduNLP.main import list_i2v def test_list_i2v(): list_i2v()

12.444444

32

0.696429

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112

3.894737

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0.283784

0

0.10989

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112

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7

9feaf7836de3aecdd3d23448a27a18e98c3608c4

176

py

Python

src/pylero/exceptions.py

yuxisun1217/pylero

0210eb2243e02ab218f19a224e94eb63081f13e3

[ "MIT" ]

null

src/pylero/exceptions.py

yuxisun1217/pylero

0210eb2243e02ab218f19a224e94eb63081f13e3

[ "MIT" ]

null

src/pylero/exceptions.py

yuxisun1217/pylero

0210eb2243e02ab218f19a224e94eb63081f13e3

[ "MIT" ]

null

# -*- coding: utf8 -*- from __future__ import absolute_import, division, print_function from __future__ import unicode_literals class PyleroLibException(Exception): pass

22

64

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19

176

6.736842

0.789474

0.15625

0.25

0

0.006579

0.136364

176

7

65

25.142857

0.835526

0.113636

0

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true

0.25

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0.25

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null

0

1

0

1

0

null

0

1

0

1

0

7

b006ab4512a06e064143fd4c379ffe2e99805b34

14,287

py

Python

lang/python/github/com/metaprov/modelaapi/services/connection/v1/connection_pb2_grpc.py

metaprov/modeldapi

ee05693832051dcd990ee4f061715d7ae0787340

[ "Apache-2.0" ]

5

2022-02-18T03:40:10.000Z

2022-03-01T16:11:24.000Z

lang/python/github/com/metaprov/modelaapi/services/connection/v1/connection_pb2_grpc.py

metaprov/modeldapi

ee05693832051dcd990ee4f061715d7ae0787340

[ "Apache-2.0" ]

1

2022-01-07T19:59:25.000Z

2022-02-04T01:21:14.000Z

lang/python/github/com/metaprov/modelaapi/services/connection/v1/connection_pb2_grpc.py

metaprov/modeldapi

ee05693832051dcd990ee4f061715d7ae0787340

[ "Apache-2.0" ]

1

2022-03-25T10:21:43.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from github.com.metaprov.modelaapi.services.connection.v1 import connection_pb2 as github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2 class ConnectionServiceStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.ListConnections = channel.unary_unary( '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/ListConnections', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.ListConnectionsRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.ListConnectionsResponse.FromString, ) self.CreateConnection = channel.unary_unary( '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/CreateConnection', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.CreateConnectionRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.CreateConnectionResponse.FromString, ) self.GetConnection = channel.unary_unary( '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/GetConnection', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.GetConnectionRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.GetConnectionResponse.FromString, ) self.UpdateConnection = channel.unary_unary( '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/UpdateConnection', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.UpdateConnectionRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.UpdateConnectionResponse.FromString, ) self.DeleteConnection = channel.unary_unary( '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/DeleteConnection', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.DeleteConnectionRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.DeleteConnectionResponse.FromString, ) self.TestConnection = channel.unary_unary( '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/TestConnection', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.TestConnectionRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.TestConnectionResponse.FromString, ) class ConnectionServiceServicer(object): """Missing associated documentation comment in .proto file.""" def ListConnections(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateConnection(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetConnection(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def UpdateConnection(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteConnection(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def TestConnection(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_ConnectionServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'ListConnections': grpc.unary_unary_rpc_method_handler( servicer.ListConnections, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.ListConnectionsRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.ListConnectionsResponse.SerializeToString, ), 'CreateConnection': grpc.unary_unary_rpc_method_handler( servicer.CreateConnection, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.CreateConnectionRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.CreateConnectionResponse.SerializeToString, ), 'GetConnection': grpc.unary_unary_rpc_method_handler( servicer.GetConnection, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.GetConnectionRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.GetConnectionResponse.SerializeToString, ), 'UpdateConnection': grpc.unary_unary_rpc_method_handler( servicer.UpdateConnection, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.UpdateConnectionRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.UpdateConnectionResponse.SerializeToString, ), 'DeleteConnection': grpc.unary_unary_rpc_method_handler( servicer.DeleteConnection, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.DeleteConnectionRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.DeleteConnectionResponse.SerializeToString, ), 'TestConnection': grpc.unary_unary_rpc_method_handler( servicer.TestConnection, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.TestConnectionRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.TestConnectionResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'github.com.metaprov.modelaapi.services.connection.v1.ConnectionService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class ConnectionService(object): """Missing associated documentation comment in .proto file.""" @staticmethod def ListConnections(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/ListConnections', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.ListConnectionsRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.ListConnectionsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/CreateConnection', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.CreateConnectionRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.CreateConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/GetConnection', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.GetConnectionRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.GetConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def UpdateConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/UpdateConnection', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.UpdateConnectionRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.UpdateConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DeleteConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/DeleteConnection', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.DeleteConnectionRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.DeleteConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def TestConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.connection.v1.ConnectionService/TestConnection', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.TestConnectionRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_connection_dot_v1_dot_connection__pb2.TestConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

61.581897

180

0.750402

1,453

14,287

6.874742

0.07777

0.096306

0.044449

0.055561

0.892582

0.865152

0.853439

0.824006

0

0.007696

0.190523

14,287

231

181

61.848485

0.856031

0.052005

0

0.5

1

0

0.109939

0.082751

0

1

0.072917

false

0

0.010417

0.03125

0.130208

0

null

0

1

0

1

0

null

0

7

b00d92d859ef427df2309adab47f4008c0981959

193

py

Python

pydmfet/sdmfet/__init__.py

fishjojo/pydmfe

93cfc655314933d3531b5733521a1f95a044f6cb

[ "MIT" ]

3

2021-02-26T06:26:00.000Z

2022-02-20T08:58:20.000Z

pydmfet/sdmfet/__init__.py

fishjojo/pydmfet

93cfc655314933d3531b5733521a1f95a044f6cb

[ "MIT" ]

null

pydmfet/sdmfet/__init__.py

fishjojo/pydmfet

93cfc655314933d3531b5733521a1f95a044f6cb

[ "MIT" ]

null

from pydmfet.sdmfet import dmfet def DMFET(mf,mol_frag,mol_env, ints, cluster, impAtom, Ne_frag,**args): return dmfet.DMFET(mf,mol_frag,mol_env, ints, cluster, impAtom, Ne_frag, **args)

32.166667

85

0.746114

32

193

4.3125

0.5

0.101449

0.144928

0.202899

0.695652

0

0.124352

193

5

86

38.6

0.816568

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

b0263bc5b3855d4862789da9e28eeabca62d3ce5

38

py

Python

09_list.py

AmreshTripathy/Python

e86420fef7f52da393be5b50ac2f13bddfeb3306

[ "Apache-2.0" ]

4

2021-05-27T05:06:09.000Z

2021-06-12T17:12:47.000Z

09_list.py

AmreshTripathy/Python

e86420fef7f52da393be5b50ac2f13bddfeb3306

[ "Apache-2.0" ]

null

09_list.py

AmreshTripathy/Python

e86420fef7f52da393be5b50ac2f13bddfeb3306

[ "Apache-2.0" ]

null

a = [1 ,2 ,3 ,4 ,56 ,6 ] print (a[0])

19

25

0.394737

10

38

1.5

0.9

0

0.296296

0.289474

38

2

26

19

0.259259

0

1

0

false

0

0.5

1

null

0

1

0

1

0

1

0

null

0

1

0

7

b05f0dbcf36a3e88d65dd63795207a92f92282bb

41,977

py

Python

tests/__init__.py

sokoslee/jvm.py

5d5442bad2506880fc6af5a17933f9f241bbc487

[ "Apache-2.0" ]

null

tests/__init__.py

sokoslee/jvm.py

5d5442bad2506880fc6af5a17933f9f241bbc487

[ "Apache-2.0" ]

null

tests/__init__.py

sokoslee/jvm.py

5d5442bad2506880fc6af5a17933f9f241bbc487

[ "Apache-2.0" ]

null

# This library is free software; you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as # published by the Free Software Foundation; either version 3 of the # License, or (at your option) any later version. # # This library 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 # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, see # <http://www.gnu.org/licenses/>. """ unit tests for python-javatools author: Christopher O'Brien <obriencj@gmail.com> license: LGPL v.3 """ from unittest import TestCase import javatools as jt import javatools.opcodes as op import pkg_resources def get_data_fn(which): which = "data/%s" % which fn = pkg_resources.resource_filename(__name__, which) return fn def get_class_fn(which): return get_data_fn(which + ".class") def load(which): fn = get_class_fn(which) return jt.unpack_classfile(fn) class Sample1Tests(TestCase): def test_is_class_file(self): fn = get_class_fn("Sample1") self.assertTrue(jt.is_class_file(fn)) def test_classinfo(self): ci = load("Sample1") self.assertEqual(type(ci), jt.JavaClassInfo) self.assertEqual(ci.get_this(), "Sample1") self.assertEqual(ci.pretty_this(), "Sample1") self.assertEqual(ci.get_sourcefile(), "Sample1.java") self.assertTrue(ci.is_public()) self.assertTrue(ci.is_super()) self.assertFalse(ci.is_final()) self.assertFalse(ci.is_interface()) self.assertFalse(ci.is_abstract()) self.assertFalse(ci.is_annotation()) self.assertFalse(ci.is_enum()) self.assertFalse(ci.is_deprecated()) self.assertEqual(ci.get_super(), "java/lang/Object") self.assertEqual(ci.pretty_super(), "java.lang.Object") # not a generic class, no signature self.assertEqual(ci.get_signature(), None) self.assertEqual(ci.pretty_signature(), None) self.assertEqual(ci.pretty_descriptor(), "public class Sample1 extends java.lang.Object") self.assertEqual(ci.get_interfaces(), tuple()) self.assertEqual(tuple(ci.pretty_interfaces()), tuple()) # not an inner class, so no enclosing method self.assertEqual(ci.get_enclosingmethod(), None) self.assertEqual(ci.get_innerclasses(), tuple()) self.assertEqual(ci.get_annotations(), tuple()) self.assertEqual(ci.get_invisible_annotations(), tuple()) def test_const_pool(self): ci = load("Sample1") exp = ( (0, (None, None)), (1, (jt.CONST_String, 24)), (2, (jt.CONST_Methodref, (6, 25))), (3, (jt.CONST_Methodref, (7, 26))), (4, (jt.CONST_Fieldref, (6, 27))), (5, (jt.CONST_Fieldref, (6, 28))), (6, (jt.CONST_Class, 29)), (7, (jt.CONST_Class, 30)), (8, (jt.CONST_Utf8, 'DEFAULT_NAME')), (9, (jt.CONST_Utf8, 'Ljava/lang/String;')), (10, (jt.CONST_Utf8, u'ConstantValue')), (11, (jt.CONST_Utf8, u'name')), (12, (jt.CONST_Utf8, u'recent_name')), (13, (jt.CONST_Utf8, u'<init>')), (14, (jt.CONST_Utf8, u'()V')), (15, (jt.CONST_Utf8, u'Code')), (16, (jt.CONST_Utf8, u'LineNumberTable')), (17, (jt.CONST_Utf8, u'(Ljava/lang/String;)V')), (18, (jt.CONST_Utf8, u'getName')), (19, (jt.CONST_Utf8, u'()Ljava/lang/String;')), (20, (jt.CONST_Utf8, u'getRecentName')), (21, (jt.CONST_Utf8, u'<clinit>')), (22, (jt.CONST_Utf8, u'SourceFile')), (23, (jt.CONST_Utf8, u'Sample1.java')), (24, (jt.CONST_Utf8, u'Daphne')), (25, (jt.CONST_NameAndType, (13, 17))), (26, (jt.CONST_NameAndType, (13, 14))), (27, (jt.CONST_NameAndType, (11, 9))), (28, (jt.CONST_NameAndType, (12, 9))), (29, (jt.CONST_Utf8, u'Sample1')), (30, (jt.CONST_Utf8, u'java/lang/Object')) ) col = tuple(enumerate(ci.cpool.consts)) self.assertEqual(col, exp) # requesting x = lambda: ci.cpool.deref_const(0) self.assertRaises(IndexError, x) def test_field_name(self): ci = load("Sample1") fi = ci.get_field_by_name("name") self.assertEqual(type(fi), jt.JavaMemberInfo) self.assertEqual(fi.get_name(), "name") self.assertEqual(fi.get_type_descriptor(), "Ljava/lang/String;") self.assertEqual(fi.get_descriptor(), "Ljava/lang/String;") self.assertEqual(fi.pretty_type(), "java.lang.String") self.assertEqual(fi.pretty_descriptor(), "private java.lang.String name") self.assertTrue(fi.is_private()) self.assertFalse(fi.is_public()) self.assertFalse(fi.is_protected()) self.assertFalse(fi.is_static()) self.assertFalse(fi.is_final()) self.assertFalse(fi.is_synchronized()) self.assertFalse(fi.is_native()) self.assertFalse(fi.is_abstract()) self.assertFalse(fi.is_strict()) self.assertFalse(fi.is_volatile()) self.assertFalse(fi.is_transient()) self.assertFalse(fi.is_bridge()) self.assertFalse(fi.is_varargs()) self.assertFalse(fi.is_synthetic()) self.assertFalse(fi.is_enum()) self.assertFalse(fi.is_module()) self.assertFalse(fi.is_deprecated()) self.assertFalse(fi.is_method) self.assertEqual(fi.deref_constantvalue(), None) def test_field_recent_name(self): ci = load("Sample1") fi = ci.get_field_by_name("recent_name") self.assertEqual(type(fi), jt.JavaMemberInfo) self.assertEqual(fi.get_name(), "recent_name") self.assertEqual(fi.get_type_descriptor(), "Ljava/lang/String;") self.assertEqual(fi.get_descriptor(), "Ljava/lang/String;") self.assertEqual(fi.pretty_type(), "java.lang.String") self.assertEqual(fi.pretty_descriptor(), "protected static java.lang.String recent_name") self.assertTrue(fi.is_protected()) self.assertTrue(fi.is_static()) self.assertFalse(fi.is_public()) self.assertFalse(fi.is_private()) self.assertFalse(fi.is_final()) self.assertFalse(fi.is_synchronized()) self.assertFalse(fi.is_native()) self.assertFalse(fi.is_abstract()) self.assertFalse(fi.is_strict()) self.assertFalse(fi.is_volatile()) self.assertFalse(fi.is_transient()) self.assertFalse(fi.is_bridge()) self.assertFalse(fi.is_varargs()) self.assertFalse(fi.is_synthetic()) self.assertFalse(fi.is_enum()) self.assertFalse(fi.is_module()) self.assertFalse(fi.is_deprecated()) self.assertFalse(fi.is_method) self.assertEqual(fi.deref_constantvalue(), None) def test_field_default_name(self): ci = load("Sample1") fi = ci.get_field_by_name("DEFAULT_NAME") self.assertEqual(type(fi), jt.JavaMemberInfo) self.assertEqual(fi.get_name(), "DEFAULT_NAME") self.assertEqual(fi.get_type_descriptor(), "Ljava/lang/String;") self.assertEqual(fi.get_descriptor(), "Ljava/lang/String;") self.assertEqual(fi.pretty_type(), "java.lang.String") self.assertEqual(fi.pretty_descriptor(), "public static final java.lang.String DEFAULT_NAME") self.assertTrue(fi.is_public()) self.assertTrue(fi.is_static()) self.assertTrue(fi.is_final()) self.assertFalse(fi.is_private()) self.assertFalse(fi.is_protected()) self.assertFalse(fi.is_synchronized()) self.assertFalse(fi.is_native()) self.assertFalse(fi.is_abstract()) self.assertFalse(fi.is_strict()) self.assertFalse(fi.is_volatile()) self.assertFalse(fi.is_transient()) self.assertFalse(fi.is_bridge()) self.assertFalse(fi.is_varargs()) self.assertFalse(fi.is_synthetic()) self.assertFalse(fi.is_enum()) self.assertFalse(fi.is_module()) self.assertFalse(fi.is_deprecated()) self.assertFalse(fi.is_method) self.assertEqual(fi.deref_constantvalue(), "Daphne") def test_method_init(self): ci = load("Sample1") mis = list(ci.get_methods_by_name("<init>")) self.assertEqual(len(mis), 2) mi0 = ci.get_method("<init>") self.assertEqual(type(mi0), jt.JavaMemberInfo) mi1 = ci.get_method("<init>", ["Ljava/lang/String;"]) self.assertEqual(type(mi1), jt.JavaMemberInfo) self.assertEqual(mis, [mi0, mi1]) self.assertEqual(mi0.get_name(), "<init>") self.assertEqual(mi0.get_type_descriptor(), "V") self.assertEqual(mi0.get_descriptor(), "()V") self.assertEqual(mi0.get_identifier(), "<init>()") self.assertEqual(mi0.pretty_type(), "void") self.assertEqual(mi0.pretty_descriptor(), "public <init>()") self.assertEqual(mi0.pretty_identifier(), "<init>():void") self.assertTrue(mi0.is_public()) self.assertTrue(mi0.is_method) self.assertFalse(mi0.is_private()) self.assertFalse(mi0.is_protected()) self.assertFalse(mi0.is_static()) self.assertFalse(mi0.is_final()) self.assertFalse(mi0.is_synchronized()) self.assertFalse(mi0.is_native()) self.assertFalse(mi0.is_abstract()) self.assertFalse(mi0.is_strict()) self.assertFalse(mi0.is_volatile()) self.assertFalse(mi0.is_transient()) self.assertFalse(mi0.is_bridge()) self.assertFalse(mi0.is_varargs()) self.assertFalse(mi0.is_synthetic()) self.assertFalse(mi0.is_enum()) self.assertFalse(mi0.is_module()) self.assertFalse(mi0.is_deprecated()) self.assertEqual(mi1.get_name(), "<init>") self.assertEqual(mi1.get_type_descriptor(), "V") self.assertEqual(mi1.get_descriptor(), "(Ljava/lang/String;)V") self.assertEqual(mi1.get_identifier(), "<init>(Ljava/lang/String;)") self.assertEqual(mi1.pretty_type(), "void") self.assertEqual(mi1.pretty_descriptor(), "public <init>(java.lang.String)") self.assertEqual(mi1.pretty_identifier(), "<init>(java.lang.String):void") self.assertTrue(mi1.is_public()) self.assertTrue(mi1.is_method) self.assertFalse(mi1.is_private()) self.assertFalse(mi1.is_protected()) self.assertFalse(mi1.is_static()) self.assertFalse(mi1.is_final()) self.assertFalse(mi1.is_synchronized()) self.assertFalse(mi1.is_native()) self.assertFalse(mi1.is_abstract()) self.assertFalse(mi1.is_strict()) self.assertFalse(mi1.is_volatile()) self.assertFalse(mi1.is_transient()) self.assertFalse(mi1.is_bridge()) self.assertFalse(mi1.is_varargs()) self.assertFalse(mi1.is_synthetic()) self.assertFalse(mi1.is_enum()) self.assertFalse(mi1.is_module()) self.assertFalse(mi1.is_deprecated()) def test_method_get_name(self): ci = load("Sample1") mi = ci.get_method("getName") self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getName") self.assertEqual(mi.get_type_descriptor(), "Ljava/lang/String;") self.assertEqual(mi.get_descriptor(), "()Ljava/lang/String;") self.assertEqual(mi.get_identifier(), "getName()") self.assertEqual(mi.pretty_type(), "java.lang.String") self.assertEqual(mi.pretty_descriptor(), "public java.lang.String getName()") self.assertEqual(mi.pretty_identifier(), "getName():java.lang.String") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) def test_method_code_name(self): ci = load("Sample1") mi = ci.get_method("getName") code = mi.get_code() self.assertEqual(type(code), jt.JavaCodeInfo) lnt = code.get_linenumbertable() exp = ((0, 18), ) self.assertEqual(lnt, exp) lnt = code.get_relativelinenumbertable() exp = ((0, 0), ) self.assertEqual(lnt, exp) dis = tuple(code.disassemble()) exp = ((0, op.OP_aload_0, ()), (1, op.OP_getfield, (4,)), (4, op.OP_areturn, ())) self.assertEqual(dis, exp) # this is the field loaded via OP_getfield self.assertEqual(ci.cpool.pretty_deref_const(4), "Sample1.name:java.lang.String") def test_method_get_recent_name(self): ci = load("Sample1") mi = ci.get_method("getRecentName") self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getRecentName") self.assertEqual(mi.get_type_descriptor(), "Ljava/lang/String;") self.assertEqual(mi.get_descriptor(), "()Ljava/lang/String;") self.assertEqual(mi.get_identifier(), "getRecentName()") self.assertEqual(mi.pretty_type(), "java.lang.String") self.assertEqual(mi.pretty_descriptor(), "public static java.lang.String getRecentName()") self.assertEqual(mi.pretty_identifier(), "getRecentName():java.lang.String") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_static()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) def test_method_code_recent_name(self): ci = load("Sample1") mi = ci.get_method("getRecentName") code = mi.get_code() self.assertEqual(type(code), jt.JavaCodeInfo) lnt = code.get_linenumbertable() exp = ((0, 22), ) self.assertEqual(lnt, exp) lnt = code.get_relativelinenumbertable() exp = ((0, 0), ) self.assertEqual(lnt, exp) dis = tuple(code.disassemble()) exp = ((0, op.OP_getstatic, (5,)), (3, op.OP_areturn, ())) self.assertEqual(dis, exp) # this is the static field loaded via OP_getstatic self.assertEqual(ci.cpool.pretty_deref_const(5), "Sample1.recent_name:java.lang.String") class Sample2Test(TestCase): def test_interface(self): ci = load("Sample2I") self.assertEqual(type(ci), jt.JavaClassInfo) self.assertEqual(ci.get_this(), "Sample2I") self.assertEqual(ci.pretty_this(), "Sample2I") self.assertEqual(ci.get_sourcefile(), "Sample2I.java") self.assertTrue(ci.is_public()) self.assertTrue(ci.is_interface()) self.assertTrue(ci.is_abstract()) self.assertFalse(ci.is_final()) self.assertFalse(ci.is_super()) self.assertFalse(ci.is_annotation()) self.assertFalse(ci.is_enum()) self.assertFalse(ci.is_deprecated()) self.assertEqual(ci.get_super(), "java/lang/Object") self.assertEqual(ci.pretty_super(), "java.lang.Object") # not a generic class, no signature self.assertEqual(ci.get_signature(), None) self.assertEqual(ci.pretty_signature(), None) self.assertEqual(ci.pretty_descriptor(), "public abstract interface Sample2I" " extends java.lang.Object") self.assertEqual(ci.get_interfaces(), tuple()) self.assertEqual(tuple(ci.pretty_interfaces()), tuple()) # not an inner class, so no enclosing method self.assertEqual(ci.get_enclosingmethod(), None) self.assertEqual(ci.get_innerclasses(), tuple()) self.assertEqual(ci.get_annotations(), tuple()) self.assertEqual(ci.get_invisible_annotations(), tuple()) def test_abstract(self): ci = load("Sample2A") self.assertEqual(type(ci), jt.JavaClassInfo) self.assertEqual(ci.get_this(), "Sample2A") self.assertEqual(ci.pretty_this(), "Sample2A") self.assertEqual(ci.get_sourcefile(), "Sample2A.java") self.assertTrue(ci.is_public()) self.assertTrue(ci.is_abstract()) self.assertTrue(ci.is_super()) self.assertFalse(ci.is_final()) self.assertFalse(ci.is_interface()) self.assertFalse(ci.is_annotation()) self.assertFalse(ci.is_enum()) self.assertFalse(ci.is_deprecated()) self.assertEqual(ci.get_super(), "java/lang/Object") self.assertEqual(ci.pretty_super(), "java.lang.Object") # not a generic class, no signature self.assertEqual(ci.get_signature(), None) self.assertEqual(ci.pretty_signature(), None) self.assertEqual(ci.pretty_descriptor(), "public abstract class Sample2A" " extends java.lang.Object" " implements Sample2I") self.assertEqual(ci.get_interfaces(), ("Sample2I",)) self.assertEqual(tuple(ci.pretty_interfaces()), ("Sample2I",)) # not an inner class, so no enclosing method self.assertEqual(ci.get_enclosingmethod(), None) self.assertEqual(ci.get_innerclasses(), tuple()) self.assertEqual(ci.get_annotations(), tuple()) self.assertEqual(ci.get_invisible_annotations(), tuple()) def test_abstract_methods(self): ci = load("Sample2A") mi = ci.get_method("getSample") self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getSample") self.assertEqual(mi.get_type_descriptor(), "LSample2A;") self.assertEqual(mi.get_descriptor(), "()LSample2A;") self.assertEqual(mi.get_identifier(), "getSample()") self.assertEqual(mi.pretty_type(), "Sample2A") self.assertEqual(mi.pretty_descriptor(), "public Sample2A getSample()") self.assertEqual(mi.pretty_identifier(), "getSample():Sample2A") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) def test_abstract_method_bridges(self): ci = load("Sample2A") bis = tuple(ci.get_method_bridges("getSample")) self.assertEqual(len(bis), 1) mi = bis[0] self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getSample") self.assertEqual(mi.get_type_descriptor(), "LSample2I;") self.assertEqual(mi.get_descriptor(), "()LSample2I;") self.assertEqual(mi.get_identifier(), "getSample():()LSample2I;") self.assertEqual(mi.pretty_type(), "Sample2I") self.assertEqual(mi.pretty_descriptor(), "public Sample2I getSample()") self.assertEqual(mi.pretty_identifier(), "getSample():Sample2I") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_volatile()) self.assertTrue(mi.is_bridge()) self.assertTrue(mi.is_synthetic()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) def test_classinfo(self): ci = load("Sample2") self.assertEqual(type(ci), jt.JavaClassInfo) self.assertEqual(ci.get_this(), "Sample2") self.assertEqual(ci.pretty_this(), "Sample2") self.assertEqual(ci.get_sourcefile(), "Sample2.java") self.assertTrue(ci.is_public()) self.assertTrue(ci.is_final()) self.assertTrue(ci.is_super()) self.assertFalse(ci.is_interface()) self.assertFalse(ci.is_abstract()) self.assertFalse(ci.is_annotation()) self.assertFalse(ci.is_enum()) self.assertFalse(ci.is_deprecated()) self.assertEqual(ci.get_super(), "Sample2A") self.assertEqual(ci.pretty_super(), "Sample2A") # not a generic class, no signature self.assertEqual(ci.get_signature(), None) self.assertEqual(ci.pretty_signature(), None) self.assertEqual(ci.pretty_descriptor(), "public final class Sample2" " extends Sample2A") # even though it extends an abstract which implements # interfaces this class doesn't EXPLICITLY claim any # interfaces, so there are none in the classfile ... it's # added at runtime. self.assertEqual(ci.get_interfaces(), tuple()) self.assertEqual(tuple(ci.pretty_interfaces()), tuple()) # not an inner class, so no enclosing method self.assertEqual(ci.get_enclosingmethod(), None) self.assertEqual(ci.get_innerclasses(), tuple()) self.assertEqual(ci.get_annotations(), tuple()) self.assertEqual(ci.get_invisible_annotations(), tuple()) def test_class_methods(self): ci = load("Sample2") mi = ci.get_method("getSample") self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getSample") self.assertEqual(mi.get_type_descriptor(), "LSample2;") self.assertEqual(mi.get_descriptor(), "()LSample2;") self.assertEqual(mi.get_identifier(), "getSample()") self.assertEqual(mi.pretty_type(), "Sample2") self.assertEqual(mi.pretty_descriptor(), "public Sample2 getSample()") self.assertEqual(mi.pretty_identifier(), "getSample():Sample2") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) def test_class_method_bridges(self): ci = load("Sample2") # Sample2 extends Sample2A which implements Sample2I, and each # level has its own getSample definition with a different, # more specific, return type. This results in Sample2 having # two bridges. bis = tuple(ci.get_method_bridges("getSample")) self.assertEqual(len(bis), 2) mi = bis[0] self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getSample") self.assertEqual(mi.get_type_descriptor(), "LSample2A;") self.assertEqual(mi.get_descriptor(), "()LSample2A;") self.assertEqual(mi.get_identifier(), "getSample():()LSample2A;") self.assertEqual(mi.pretty_type(), "Sample2A") self.assertEqual(mi.pretty_descriptor(), "public Sample2A getSample()") self.assertEqual(mi.pretty_identifier(), "getSample():Sample2A") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_volatile()) self.assertTrue(mi.is_bridge()) self.assertTrue(mi.is_synthetic()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) mi = bis[1] self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getSample") self.assertEqual(mi.get_type_descriptor(), "LSample2I;") self.assertEqual(mi.get_descriptor(), "()LSample2I;") self.assertEqual(mi.get_identifier(), "getSample():()LSample2I;") self.assertEqual(mi.pretty_type(), "Sample2I") self.assertEqual(mi.pretty_descriptor(), "public Sample2I getSample()") self.assertEqual(mi.pretty_identifier(), "getSample():Sample2I") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_volatile()) self.assertTrue(mi.is_bridge()) self.assertTrue(mi.is_synthetic()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) class Sample3Test(TestCase): def test_classinfo(self): ci = load("Sample3") self.assertEqual(type(ci), jt.JavaClassInfo) self.assertEqual(ci.get_this(), "Sample3") self.assertEqual(ci.pretty_this(), "Sample3") self.assertEqual(ci.get_sourcefile(), "Sample3.java") self.assertTrue(ci.is_public()) self.assertTrue(ci.is_super()) self.assertFalse(ci.is_interface()) self.assertFalse(ci.is_abstract()) self.assertFalse(ci.is_final()) self.assertFalse(ci.is_annotation()) self.assertFalse(ci.is_enum()) self.assertFalse(ci.is_deprecated()) self.assertEqual(ci.get_super(), "java/lang/Object") self.assertEqual(ci.pretty_super(), "java.lang.Object") self.assertEqual(ci.get_signature(), None) self.assertEqual(ci.pretty_signature(), None) self.assertEqual(ci.pretty_descriptor(), "public class Sample3 extends java.lang.Object") self.assertEqual(ci.get_interfaces(), tuple()) self.assertEqual(tuple(ci.pretty_interfaces()), tuple()) self.assertEqual(ci.get_enclosingmethod(), None) self.assertEqual(ci.get_innerclasses(), tuple()) self.assertEqual(ci.get_annotations(), tuple()) self.assertEqual(ci.get_invisible_annotations(), tuple()) def test_field_data(self): ci = load("Sample3") fi = ci.get_field_by_name("data") self.assertEqual(type(fi), jt.JavaMemberInfo) self.assertEqual(fi.get_name(), "data") self.assertEqual(fi.get_type_descriptor(), "Ljava/lang/Object;") self.assertEqual(fi.get_descriptor(), "Ljava/lang/Object;") self.assertEqual(fi.pretty_type(), "java.lang.Object") self.assertEqual(fi.pretty_descriptor(), "private java.lang.Object data") self.assertTrue(fi.is_private()) self.assertFalse(fi.is_public()) self.assertFalse(fi.is_protected()) self.assertFalse(fi.is_static()) self.assertFalse(fi.is_final()) self.assertFalse(fi.is_synchronized()) self.assertFalse(fi.is_native()) self.assertFalse(fi.is_abstract()) self.assertFalse(fi.is_strict()) self.assertFalse(fi.is_volatile()) self.assertFalse(fi.is_transient()) self.assertFalse(fi.is_bridge()) self.assertFalse(fi.is_varargs()) self.assertFalse(fi.is_synthetic()) self.assertFalse(fi.is_enum()) self.assertFalse(fi.is_module()) self.assertFalse(fi.is_deprecated()) self.assertFalse(fi.is_method) self.assertEqual(fi.deref_constantvalue(), None) def test_field_recent_name(self): ci = load("Sample3") fi = ci.get_field_by_name("lastData") self.assertEqual(type(fi), jt.JavaMemberInfo) self.assertEqual(fi.get_name(), "lastData") self.assertEqual(fi.get_type_descriptor(), "Ljava/lang/Object;") self.assertEqual(fi.get_descriptor(), "Ljava/lang/Object;") self.assertEqual(fi.pretty_type(), "java.lang.Object") self.assertEqual(fi.pretty_descriptor(), "private static java.lang.Object lastData") self.assertTrue(fi.is_private()) self.assertTrue(fi.is_static()) self.assertFalse(fi.is_public()) self.assertFalse(fi.is_protected()) self.assertFalse(fi.is_final()) self.assertFalse(fi.is_synchronized()) self.assertFalse(fi.is_native()) self.assertFalse(fi.is_abstract()) self.assertFalse(fi.is_strict()) self.assertFalse(fi.is_volatile()) self.assertFalse(fi.is_transient()) self.assertFalse(fi.is_bridge()) self.assertFalse(fi.is_varargs()) self.assertFalse(fi.is_synthetic()) self.assertFalse(fi.is_enum()) self.assertFalse(fi.is_module()) self.assertFalse(fi.is_deprecated()) self.assertFalse(fi.is_method) self.assertEqual(fi.deref_constantvalue(), None) def test_method_get_data(self): ci = load("Sample3") mi = ci.get_method("getData") self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getData") self.assertEqual(mi.get_type_descriptor(), "Ljava/lang/Object;") self.assertEqual(mi.get_descriptor(), "()Ljava/lang/Object;") self.assertEqual(mi.get_identifier(), "getData()") self.assertEqual(mi.pretty_type(), "java.lang.Object") self.assertEqual(mi.pretty_descriptor(), "public synchronized java.lang.Object getData()" " throws java.lang.Exception") self.assertEqual(mi.pretty_identifier(), "getData():java.lang.Object") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_synchronized()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) excs = mi.get_exceptions() self.assertEquals(excs, ("java/lang/Exception",)) excs = tuple(mi.pretty_exceptions()) self.assertEquals(excs, ("java.lang.Exception",)) def test_method_get_data_default(self): ci = load("Sample3") mi = ci.get_method("getData", ["Ljava/lang/Object;"]) self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getData") self.assertEqual(mi.get_type_descriptor(), "Ljava/lang/Object;") self.assertEqual(mi.get_descriptor(), "(Ljava/lang/Object;)Ljava/lang/Object;") self.assertEqual(mi.get_identifier(), "getData(Ljava/lang/Object;)") self.assertEqual(mi.pretty_type(), "java.lang.Object") self.assertEqual(mi.pretty_descriptor(), "public java.lang.Object" " getData(java.lang.Object)") self.assertEqual(mi.pretty_identifier(), "getData(java.lang.Object):java.lang.Object") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_synchronized()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) excs = mi.get_exceptions() self.assertEquals(excs, tuple()) excs = tuple(mi.pretty_exceptions()) self.assertEquals(excs, tuple()) code = mi.get_code() code_excs = code.exceptions self.assertEqual(len(code_excs), 1) ce = code_excs[0] self.assertEqual(type(ce), jt.JavaExceptionInfo) self.assertEqual(ce.get_catch_type(), "java/lang/Exception") self.assertEqual(ce.pretty_catch_type(), "Class java.lang.Exception") self.assertEqual(ce.info(), (0, 4, 5, "java/lang/Exception")) def test_method_set_data(self): ci = load("Sample3") mi = ci.get_method("setData", ["Ljava/lang/Object;"]) self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "setData") self.assertEqual(mi.get_type_descriptor(), "V") self.assertEqual(mi.get_descriptor(), "(Ljava/lang/Object;)V") self.assertEqual(mi.get_identifier(), "setData(Ljava/lang/Object;)") self.assertEqual(mi.pretty_type(), "void") self.assertEqual(mi.pretty_descriptor(), "public synchronized void" " setData(java.lang.Object)") self.assertEqual(mi.pretty_identifier(), "setData(java.lang.Object):void") self.assertTrue(mi.is_public()) self.assertTrue(mi.is_synchronized()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_private()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_static()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) excs = mi.get_exceptions() self.assertEquals(excs, tuple()) excs = tuple(mi.pretty_exceptions()) self.assertEquals(excs, tuple()) def test_method_get_last_data(self): ci = load("Sample3") mi = ci.get_method("getLastData") self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "getLastData") self.assertEqual(mi.get_type_descriptor(), "Ljava/lang/Object;") self.assertEqual(mi.get_descriptor(), "()Ljava/lang/Object;") self.assertEqual(mi.get_identifier(), "getLastData()") self.assertEqual(mi.pretty_type(), "java.lang.Object") self.assertEqual(mi.pretty_descriptor(), "private static synchronized java.lang.Object" " getLastData()" " throws java.lang.Exception") self.assertEqual(mi.pretty_identifier(), "getLastData():java.lang.Object") self.assertTrue(mi.is_private()) self.assertTrue(mi.is_static()) self.assertTrue(mi.is_synchronized()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_public()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) excs = mi.get_exceptions() self.assertEquals(excs, ("java/lang/Exception",)) excs = tuple(mi.pretty_exceptions()) self.assertEquals(excs, ("java.lang.Exception",)) def test_method_set_last_data(self): ci = load("Sample3") mi = ci.get_method("setLastData", ["Ljava/lang/Object;"]) self.assertEqual(type(mi), jt.JavaMemberInfo) self.assertEqual(mi.get_name(), "setLastData") self.assertEqual(mi.get_type_descriptor(), "V") self.assertEqual(mi.get_descriptor(), "(Ljava/lang/Object;)V") self.assertEqual(mi.get_identifier(), "setLastData(Ljava/lang/Object;)") self.assertEqual(mi.pretty_type(), "void") self.assertEqual(mi.pretty_descriptor(), "private static synchronized void" " setLastData(java.lang.Object)") self.assertEqual(mi.pretty_identifier(), "setLastData(java.lang.Object):void") self.assertTrue(mi.is_private()) self.assertTrue(mi.is_static()) self.assertTrue(mi.is_synchronized()) self.assertTrue(mi.is_method) self.assertFalse(mi.is_public()) self.assertFalse(mi.is_protected()) self.assertFalse(mi.is_final()) self.assertFalse(mi.is_native()) self.assertFalse(mi.is_abstract()) self.assertFalse(mi.is_strict()) self.assertFalse(mi.is_volatile()) self.assertFalse(mi.is_transient()) self.assertFalse(mi.is_bridge()) self.assertFalse(mi.is_varargs()) self.assertFalse(mi.is_synthetic()) self.assertFalse(mi.is_enum()) self.assertFalse(mi.is_module()) self.assertFalse(mi.is_deprecated()) excs = mi.get_exceptions() self.assertEquals(excs, tuple()) excs = tuple(mi.pretty_exceptions()) self.assertEquals(excs, tuple()) # # The end.

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8

c6d2738a2344112af8c7c7d31154bd4f064f907e

72,233

py

Python

tally_ho/apps/tally/tests/views/test_quality_control.py

onaio/tally-ho

f7a81909755924370653051bfc8315588dc75356

[ "Apache-2.0" ]

12

2015-09-07T17:12:42.000Z

2021-12-29T07:51:18.000Z

tally_ho/apps/tally/tests/views/test_quality_control.py

onaio/tally-ho

f7a81909755924370653051bfc8315588dc75356

[ "Apache-2.0" ]

122

2018-09-18T04:05:39.000Z

2022-01-17T10:12:48.000Z

tally_ho/apps/tally/tests/views/test_quality_control.py

onaio/tally-ho

f7a81909755924370653051bfc8315588dc75356

[ "Apache-2.0" ]

13

2015-06-06T17:32:34.000Z

2020-09-10T12:58:07.000Z

import copy from django.core.exceptions import PermissionDenied, SuspiciousOperation from django.core.serializers.json import json, DjangoJSONEncoder from django.contrib.auth.models import AnonymousUser from django.conf import settings from django.urls import reverse from django.test import RequestFactory from django.utils import timezone from tally_ho.apps.tally.views import quality_control as views from tally_ho.apps.tally.models.quality_control import QualityControl from tally_ho.apps.tally.models.quarantine_check import QuarantineCheck from tally_ho.apps.tally.models.result_form import ResultForm from tally_ho.apps.tally.models.result_form_stats import ResultFormStats from tally_ho.libs.models.enums.form_state import FormState from tally_ho.libs.permissions import groups from tally_ho.libs.tests.test_base import ( create_candidates, create_reconciliation_form, create_recon_forms, create_result_form, create_center, create_station, create_audit, create_tally, create_ballot, create_quality_control, create_quarantine_checks, TestBase, ) from tally_ho.libs.verify.quarantine_checks import ( pass_percentage_of_blank_ballots_trigger ) class TestQualityControl(TestBase): def setUp(self): self.factory = RequestFactory() self._create_permission_groups() self.encoded_result_form_qa_control_start_time =\ json.loads(json.dumps(timezone.now(), cls=DjangoJSONEncoder)) self.quarantine_data = getattr(settings, 'QUARANTINE_DATA') def _common_view_tests(self, view): """ Test common view """ request = self.factory.get('/') request.session = {} request.session['encoded_result_form_qa_control_start_time'] =\ self.encoded_result_form_qa_control_start_time request.user = AnonymousUser() response = view(request) self.assertEqual(response.status_code, 302) self.assertEqual('/accounts/login/?next=/', response['location']) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) request.user = self.user with self.assertRaises(PermissionDenied): view(request, tally_id=tally.pk) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) response = view(request, tally_id=tally.pk) response.render() self.assertIn(b'/accounts/logout/', response.content) return response def test_quality_control_get(self): """ Test quality control view get """ response = self._common_view_tests(views.QualityControlView.as_view()) self.assertContains(response, 'Quality Control') self.assertIn(b'<form id="result_form"', response.content) def test_quality_control_post(self): """ Test quality control view post """ barcode = '123456789' self._create_and_login_user() tally = create_tally() tally.users.add(self.user) create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlView.as_view() data = { 'barcode': barcode, 'barcode_copy': barcode, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/dashboard', response['location']) result_form = ResultForm.objects.get(barcode=barcode) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertEqual(result_form.qualitycontrol.user, self.user) def test_dashboard_abort_post(self): """ Test dashboard abort post """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'abort': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) quality_control = result_form.qualitycontrol_set.all()[0] self.assertEqual(quality_control.active, False) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/home', response['location']) self.assertEqual(request.session, {}) def test_dashboard_incorrect_post_when_form_marked_for_release(self): """ Test dashboard incorrrect post when form marked for release """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' ballot = create_ballot(available_for_release=True) create_result_form(barcode, ballot=ballot, tally=tally, form_state=FormState.QUALITY_CONTROL) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user quality_control = result_form.qualitycontrol_set.all()[0] request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertTrue(quality_control.active) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/confirm-reject', response['location']) def test_dashboard_incorrect_post_when_form_not_marked_for_release(self): """ Test dashboard incorrrect post when form not marked for release """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} request.session['encoded_result_form_qa_control_start_time'] =\ self.encoded_result_form_qa_control_start_time response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/reject', response['location']) quality_control = result_form.qualitycontrol_set.all()[0] self.assertFalse(quality_control.active) self.assertEqual(request.session, {}) result_form_stat = ResultFormStats.objects.get(user=self.user) self.assertEqual(result_form_stat.approved_by_supervisor, False) self.assertEqual(result_form_stat.reviewed_by_supervisor, False) self.assertEqual(result_form_stat.user, self.user) self.assertEqual(result_form_stat.result_form, result_form) def test_dashboard_submit_post(self): """ Test dashboard submit post """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) quality_control = create_quality_control(result_form, self.user) quality_control.passed_general = False quality_control.passed_reconciliation = False quality_control.passed_women = False quality_control.save() self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'correct': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) result_form = ResultForm.objects.get(pk=result_form.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/print', response['location']) quality_control = result_form.qualitycontrol self.assertTrue(quality_control.passed_general) self.assertTrue(quality_control.passed_reconciliation) self.assertTrue(quality_control.passed_women) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) def test_dashboard_get_double_recon(self): """ Test dashboard get double recon """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' center = create_center(tally=tally) station = create_station(center=center) result_form = create_result_form(barcode, center=center, station_number=station.station_number, tally=tally, form_state=FormState.QUALITY_CONTROL) create_reconciliation_form(result_form, self.user) create_reconciliation_form(result_form, self.user) create_candidates(result_form, self.user) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() request = self.factory.get('/') request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 200) self.assertContains(response, 'General Results Section') self.assertContains(response, 'Cancel') def test_dashboard_get_double_recon_raise(self): """ Test dashboard get double recon raise """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' center = create_center(tally=tally) station = create_station(center=center) result_form = create_result_form(barcode, center=center, station_number=station.station_number, tally=tally, form_state=FormState.QUALITY_CONTROL) create_reconciliation_form(result_form, self.user) create_reconciliation_form(result_form, self.user, ballot_number_from=2) create_candidates(result_form, self.user) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() request = self.factory.get('/') request.user = self.user request.session = {'result_form': result_form.pk} with self.assertRaises(SuspiciousOperation): view(request, tally_id=tally.pk) def test_dashboard_get(self): """ Test dashboard get """ barcode = '123456789' self._create_and_login_user() tally = create_tally() tally.users.add(self.user) center = create_center(tally=tally) station = create_station(center=center) create_result_form(barcode, center=center, station_number=station.station_number, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_candidates(result_form, self.user) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() request = self.factory.get('/') request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 200) # gender has been removed # self.assertContains(response, str(result_form.gender_name)) self.assertContains(response, 'General Results Section') self.assertNotContains(response, 'Reconciliation') self.assertContains(response, 'Cancel') def test_confirm_form_reset_view_post(self): """ Test confirm form reset view post """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' ballot = create_ballot(available_for_release=True) create_result_form(barcode, tally=tally, ballot=ballot, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.ConfirmFormResetView.as_view() reject_reason = 'Form Incorrect' data = { 'reject_reason': reject_reason } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} request.session['encoded_result_form_qa_control_start_time'] =\ self.encoded_result_form_qa_control_start_time response = view(request, tally_id=tally.pk) result_form = ResultForm.objects.get(pk=result_form.pk) quality_control = result_form.qualitycontrol_set.all()[0] self.assertEqual(response.status_code, 302) self.assertIn('quality-control/reject', response['location']) self.assertEqual(request.session, {}) self.assertEqual(result_form.form_state, FormState.DATA_ENTRY_1) self.assertEqual(result_form.rejected_count, 1) self.assertEqual(result_form.reject_reason, reject_reason) self.assertFalse(quality_control.active) self.assertFalse(quality_control.passed_reconciliation) result_form_stat = ResultFormStats.objects.get(user=self.user) self.assertEqual(result_form_stat.approved_by_supervisor, False) self.assertEqual(result_form_stat.reviewed_by_supervisor, False) self.assertEqual(result_form_stat.user, self.user) self.assertEqual(result_form_stat.result_form, result_form) def test_reconciliation_get(self): """ Test reconciliation get """ barcode = '123456789' self._create_and_login_user() tally = create_tally() tally.users.add(self.user) create_result_form(barcode, form_state=FormState.QUALITY_CONTROL, tally=tally) result_form = ResultForm.objects.get(barcode=barcode) create_reconciliation_form(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() request = self.factory.get('/') request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) response.render() self.assertEqual(response.status_code, 200) self.assertContains(response, 'Reconciliation') self.assertContains(response, 'Total number of the sorted and counted') def test_reconciliation_post_correct(self): """ Test reconciliation post correct """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'correct': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertIn('quality-control/print', response['location']) quality_control = QualityControl.objects.get( pk=result_form.qualitycontrol.pk) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertTrue(quality_control.passed_reconciliation) def test_reconciliation_post_incorrect_ballot_released(self): """ Test reconciliation post incorrect ballot released """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' ballot = create_ballot(available_for_release=True) create_result_form(barcode, tally=tally, ballot=ballot, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_recon_forms(result_form, self.user) create_candidates(result_form, self.user) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/confirm-reject', response['location']) result_form = ResultForm.objects.get(pk=result_form.pk) quality_control = result_form.qualitycontrol_set.all()[0] self.assertTrue(quality_control.active) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertEqual(result_form.rejected_count, 0) def test_reconciliation_post_incorrect_ballot_not_released(self): """ Test reconciliation post incorrect ballot not released """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_recon_forms(result_form, self.user) create_candidates(result_form, self.user) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} request.session['encoded_result_form_qa_control_start_time'] =\ self.encoded_result_form_qa_control_start_time response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/reject', response['location']) self.assertEqual(result_form.rejected_count, 0) result_form = ResultForm.objects.get(pk=result_form.pk) quality_control = result_form.qualitycontrol_set.all()[0] results = result_form.results.all() self.assertTrue(len(results) > 0) for result in results: self.assertEqual(result.active, False) recon_forms = result_form.reconciliationform_set.all() self.assertTrue(len(recon_forms) > 0) for recon in recon_forms: self.assertEqual(recon.active, False) self.assertEqual(result_form.form_state, FormState.DATA_ENTRY_1) self.assertEqual(result_form.rejected_count, 1) self.assertEqual(quality_control.active, False) self.assertEqual(quality_control.passed_reconciliation, False) result_form_stat = ResultFormStats.objects.get(user=self.user) self.assertEqual(result_form_stat.approved_by_supervisor, False) self.assertEqual(result_form_stat.reviewed_by_supervisor, False) self.assertEqual(result_form_stat.user, self.user) self.assertEqual(result_form_stat.result_form, result_form) def test_reconciliation_post_abort(self): """ Test reconciliation post abort """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'abort': 1, 'tally_id': tally.id, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/home', response['location']) quality_control = result_form.qualitycontrol_set.all()[0] self.assertEqual(quality_control.active, False) def test_general_get(self): """ Test general get """ barcode = '123456789' self._create_and_login_user() tally = create_tally() tally.users.add(self.user) center = create_center(tally=tally) station = create_station(center=center) create_result_form(barcode, center=center, station_number=station.station_number, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) name = 'the candidate name' women_name = 'women candidate name' votes = 123 create_candidates(result_form, self.user, name, votes, women_name) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() request = self.factory.get('/') request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) response.render() self.assertEqual(response.status_code, 200) # gender has been removed # self.assertContains(response, str(result_form.gender_name)) self.assertContains(response, 'General') self.assertContains(response, name) self.assertContains(response, women_name) self.assertContains(response, str(votes)) def test_general_post_correct(self): """ Test general post correct """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' result_form = create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'correct': 1, 'tally_id': tally.id, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertIn('quality-control/print', response['location']) quality_control = QualityControl.objects.get( pk=result_form.qualitycontrol.pk) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertTrue(quality_control.passed_general) def test_general_post_incorrect_ballot_released(self): """ Test general post incorrect ballot released """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' ballot = create_ballot(available_for_release=True) create_result_form(barcode, tally=tally, ballot=ballot, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) create_candidates(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/confirm-reject', response['location']) result_form = ResultForm.objects.get(pk=result_form.pk) quality_control = result_form.qualitycontrol_set.all()[0] self.assertTrue(quality_control.active) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertEqual(result_form.rejected_count, 0) def test_general_post_incorrect_ballot_not_released(self): """ Test general post incorrect ballot not released """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) create_candidates(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} request.session['encoded_result_form_qa_control_start_time'] =\ self.encoded_result_form_qa_control_start_time response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/reject', response['location']) self.assertEqual(result_form.rejected_count, 0) result_form = ResultForm.objects.get(pk=result_form.pk) quality_control = result_form.qualitycontrol_set.all()[0] results = result_form.results.all() self.assertTrue(len(results) > 0) for result in results: self.assertEqual(result.active, False) self.assertEqual(result_form.form_state, FormState.DATA_ENTRY_1) self.assertEqual(result_form.rejected_count, 1) self.assertEqual(quality_control.active, False) self.assertEqual(quality_control.passed_general, False) result_form_stat = ResultFormStats.objects.get(user=self.user) self.assertEqual(result_form_stat.approved_by_supervisor, False) self.assertEqual(result_form_stat.reviewed_by_supervisor, False) self.assertEqual(result_form_stat.user, self.user) self.assertEqual(result_form_stat.result_form, result_form) def test_general_post_abort(self): """ Test general post abort """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'abort': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/home', response['location']) quality_control = result_form.qualitycontrol_set.all()[0] self.assertEqual(quality_control.active, False) def test_women_get(self): """ Test women get """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' center = create_center() station = create_station(center=center) create_result_form(barcode, center=center, station_number=station.station_number, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) name = 'general candidate name' women_name = 'women candidate name' votes = 123 create_candidates(result_form, self.user, name, votes, women_name) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() request = self.factory.get('/') request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) response.render() self.assertEqual(response.status_code, 200) self.assertContains(response, 'Women') self.assertContains(response, women_name) self.assertContains(response, name) self.assertContains(response, str(votes)) def test_women_post_correct(self): """ Test women post correct """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'correct': 1, 'tally_id': tally.pk } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertIn('quality-control/print', response['location']) quality_control = result_form.qualitycontrol_set.all()[0] self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertTrue(quality_control.passed_women) def test_women_post_incorrect_ballot_released(self): """ Test women post incorrect ballot released """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' ballot = create_ballot(available_for_release=True) create_result_form(barcode, tally=tally, ballot=ballot, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) create_candidates(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/confirm-reject', response['location']) result_form = ResultForm.objects.get(pk=result_form.pk) quality_control = result_form.qualitycontrol_set.all()[0] self.assertTrue(quality_control.active) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertEqual(result_form.rejected_count, 0) def test_women_post_incorrect_ballot_not_released(self): """ Test women post incorrect ballot not released """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) create_candidates(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'incorrect': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} request.session['encoded_result_form_qa_control_start_time'] =\ self.encoded_result_form_qa_control_start_time response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/reject', response['location']) self.assertEqual(result_form.rejected_count, 0) result_form = ResultForm.objects.get(pk=result_form.pk) quality_control = result_form.qualitycontrol_set.all()[0] results = result_form.results.all() self.assertTrue(len(results) > 0) for result in results: self.assertEqual(result.active, False) self.assertEqual(result_form.form_state, FormState.DATA_ENTRY_1) self.assertEqual(result_form.rejected_count, 1) self.assertEqual(quality_control.active, False) self.assertEqual(quality_control.passed_women, False) result_form_stat = ResultFormStats.objects.get(user=self.user) self.assertEqual(result_form_stat.approved_by_supervisor, False) self.assertEqual(result_form_stat.reviewed_by_supervisor, False) self.assertEqual(result_form_stat.user, self.user) self.assertEqual(result_form_stat.result_form, result_form) def test_women_post_abort(self): """ Test women post abort """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) barcode = '123456789' create_result_form(barcode, tally=tally, form_state=FormState.QUALITY_CONTROL) result_form = ResultForm.objects.get(barcode=barcode) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'result_form': result_form.pk, 'abort': 1, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.user = self.user request.session = {'result_form': result_form.pk} response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('quality-control/home', response['location']) quality_control = result_form.qualitycontrol_set.all()[0] self.assertEqual(quality_control.active, False) def test_quality_control_post_quarantine_pass_with_zero_diff(self): """ Test quality control post pass quarantine trigger with zero difference """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) center = create_center() create_station(center) create_quarantine_checks(self.quarantine_data) result_form = create_result_form( form_state=FormState.QUALITY_CONTROL, center=center, tally=tally, station_number=1) recon_form = create_reconciliation_form( result_form, self.user, number_unstamped_ballots=0) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(result_form.num_votes, recon_form.number_ballots_expected) self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_post_quarantine_pass_below_tolerance(self): """ Test quality control post pass quarantine trigger below tolerance """ center = create_center() create_station(center) create_quarantine_checks(self.quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=1) recon_form = create_reconciliation_form( result_form, self.user, number_ballots_inside_box=21, number_unstamped_ballots=0) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(result_form.num_votes, recon_form.number_ballots_expected) self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertTrue(result_form.audit) self.assertEqual(result_form.audit.quarantine_checks.count(), 1) self.assertEqual( result_form.audit.quarantine_checks.all()[0].name[:9], 'Trigger 1') self.assertEqual(result_form.audited_count, 1) self.assertIn('quality-control/print', response['location']) def test_quality_control_post_quarantine_pass_ballot_num_validation(self): """ Test that the total number of received ballots equals the total of the ballots inside the box plus ballots outside the box """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[2]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) recon_form = create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(result_form.num_votes, recon_form.number_ballots_expected) self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_post_quarantine_pass_signatures_validation(self): """ Test that the total number of signatures on the voter list equals the number of ballots found in the ballot box after polling plus cancelled ballots. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[3]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) recon_form = create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(result_form.num_votes, recon_form.number_ballots_expected) self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_quarantine_pass_ballots_inside_box_check(self): """ Test that the number of ballots value inside recon form matches the total of valid, invalid, and unstamped ballots. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[4]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) recon_form = create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(result_form.num_votes, recon_form.number_ballots_expected) self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_quarantine_pass_sum_candidates_votes_check(self): """ Test that the sum of candidates votes matches the total number of valid ballots. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[4]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) recon_form = create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(result_form.num_votes, recon_form.number_ballots_expected) self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_quarantine_pass_invalid_ballots_percentage(self): """ Test that the percentage of invalid ballots has not superseded the allowed limit. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[6]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_quarantine_pass_turnout_percentage(self): """ Test that the turnout percentage has not superseded the allowed limit. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[7]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_quarantine_pass_votes_candidate_percentage(self): """ Test that the percentage of votes per candidate of the total valid votes does not exceed a certain threshold. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[8]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_quarantine_pass_blank_ballots_trigger(self): """ Test blank ballots check is not triggered when the percentage of blank ballots has not exceeded the allowed percentage value. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[9]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, number_blank_ballots=4, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertIsNone(result_form.audit) self.assertEqual(result_form.audited_count, 0) self.assertIn('quality-control/print', response['location']) def test_quality_control_quarantine_fail_blank_ballots_trigger(self): """ Test blank ballots check is triggered when the percentage of blank ballots exceeds the allowed percentage value. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[9]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, number_blank_ballots=20, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertEqual(result_form.form_state, FormState.QUALITY_CONTROL) self.assertIsNotNone(result_form.audit) self.assertEqual(result_form.audited_count, 1) self.assertEqual( result_form.audit.quarantine_checks.all()[0].name, quarantine_data[9]['name']) self.assertIn('/quality-control/print', response['location']) def test_pass_percentage_of_blank_ballots_trigger(self): """ Test pass percentage of blank ballots trigger returns true if the percentage of blank ballots has not exceeded the allowed percentage value. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[9]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, number_blank_ballots=4, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) self.assertTrue(pass_percentage_of_blank_ballots_trigger(result_form)) def test_fail_percentage_of_blank_ballots_trigger(self): """ Test pass percentage of blank ballots trigger returns false if the percentage of blank ballots has exceeded the allowed percentage value. """ center = create_center() station = create_station(center=center, registrants=21) quarantine_data = copy.deepcopy(self.quarantine_data) quarantine_data[9]['active'] = True create_quarantine_checks(quarantine_data) self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form( tally=tally, form_state=FormState.QUALITY_CONTROL, center=center, station_number=station.station_number) create_reconciliation_form( result_form=result_form, user=self.user, number_ballots_inside_box=21, number_cancelled_ballots=0, number_spoiled_ballots=0, number_unstamped_ballots=0, number_unused_ballots=0, number_valid_votes=20, number_ballots_received=21, number_signatures_in_vr=21, number_blank_ballots=20, ) create_quality_control(result_form, self.user) create_candidates(result_form, self.user, votes=1, num_results=10) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) self.assertFalse(pass_percentage_of_blank_ballots_trigger(result_form)) def test_quality_control_post_quarantine(self): """ Test quality control post """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) center = create_center() create_station(center) create_quarantine_checks(self.quarantine_data) result_form = create_result_form( form_state=FormState.QUALITY_CONTROL, tally=tally, center=center, station_number=1) create_reconciliation_form( result_form, self.user, number_unstamped_ballots=1000) create_quality_control(result_form, self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.QualityControlDashboardView.as_view() data = { 'correct': 1, 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) result_form.reload() self.assertEqual(response.status_code, 302) self.assertTrue(result_form.form_state, FormState.AUDIT) self.assertTrue(result_form.audit) self.assertEqual(result_form.audit.quarantine_checks.count(), 2) self.assertEqual(result_form.audit.user, self.user) self.assertEqual(result_form.audited_count, 1) self.assertIn('quality-control/print', response['location']) def test_print_success_get(self): """ Test print success get """ self._create_and_login_user() code = '12345' station_number = 1 center = create_center(code) create_station(center) result_form = create_result_form(form_state=FormState.QUALITY_CONTROL, center=center, station_number=station_number) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.PrintView.as_view() request = self.factory.get('/') request.session = {'result_form': result_form.pk} request.user = self.user response = view(request) self.assertEqual(response.status_code, 200) self.assertContains(response, 'Successful Archive') def test_print_quarantine_get(self): """ Test print quarantine get """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) code = '12345' station_number = 1 center = create_center(code, tally=tally) create_station(center) result_form = create_result_form(form_state=FormState.QUALITY_CONTROL, center=center, tally=tally, station_number=station_number) quarantine_check = QuarantineCheck.objects.create( user=self.user, name='1', method='1', value=1) audit = create_audit(result_form, self.user) audit.quarantine_checks.add(quarantine_check) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.PrintView.as_view() request = self.factory.get('/') request.session = {'result_form': result_form.pk} request.user = self.user response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 200) self.assertContains(response, 'Quarantined') def test_print_post(self): """ Test print post """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) result_form = create_result_form(form_state=FormState.QUALITY_CONTROL) view = views.PrintView.as_view() data = { 'result_form': result_form.pk, 'tally_id': tally.pk, } request = self.factory.post('/', data=data) request.session = data request.user = self.user response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 302) self.assertIn('/quality-control/success', response['location']) result_form = ResultForm.objects.get(pk=result_form.pk) self.assertEqual(result_form.form_state, FormState.ARCHIVED) def test_confirmation_get(self): """ Test confirmation get """ self._create_and_login_user() tally = create_tally() tally.users.add(self.user) result_form = create_result_form(tally=tally, form_state=FormState.ARCHIVED) self._add_user_to_group(self.user, groups.QUALITY_CONTROL_CLERK) view = views.ConfirmationView.as_view() request = self.factory.get('/') request.user = self.user request.session = {'result_form': result_form.pk} request.session['encoded_result_form_qa_control_start_time'] =\ self.encoded_result_form_qa_control_start_time response = view(request, tally_id=tally.pk) self.assertEqual(response.status_code, 200) self.assertContains(response, 'Archiving') self.assertContains( response, reverse('quality-control', kwargs={'tally_id': tally.pk})) self.assertEqual(request.session.get('result_form'), None) result_form_stat = ResultFormStats.objects.get(user=self.user) self.assertEqual(result_form_stat.approved_by_supervisor, False) self.assertEqual(result_form_stat.reviewed_by_supervisor, False) self.assertEqual(result_form_stat.user, self.user) self.assertEqual(result_form_stat.result_form, result_form)

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0.114218

0.03294

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0.897844

0.878175

0.858347

0.850032

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0.012407

0.271386

72,233

1,738

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41.56099

0.819362

0.035289

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false

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null

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1

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null

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c6ed0b812841e50f50bc65ba2960b1b525302987

13,250

py

Python

nn_meter/prediction/predictors/kernel_predictor.py

kaleid-liner/nn-Meter

526f8ddeeb33816a0b2b7f97964683e0510cd85d

[ "MIT" ]

164

2021-08-04T09:45:42.000Z

2022-03-31T14:21:17.000Z

nn_meter/prediction/predictors/kernel_predictor.py

kaleid-liner/nn-Meter

526f8ddeeb33816a0b2b7f97964683e0510cd85d

[ "MIT" ]

20

2021-08-05T02:58:47.000Z

2022-03-28T11:09:58.000Z

nn_meter/prediction/predictors/kernel_predictor.py

kaleid-liner/nn-Meter

526f8ddeeb33816a0b2b7f97964683e0510cd85d

[ "MIT" ]

28

2021-08-06T02:05:04.000Z

2022-03-23T05:05:03.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from sklearn.ensemble import RandomForestRegressor def get_model(hardware, kernel): model = None if kernel == "convbnrelu": if hardware == "cpu": model = RandomForestRegressor( max_depth=70, n_estimators=320, min_samples_leaf=1, min_samples_split=2, max_features=6, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=80, n_estimators=550, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, n_jobs=32, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=100, n_estimators=500, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, n_jobs=32, random_state=10, ) if kernel == "dwconvbnrelu": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=240, min_samples_leaf=1, min_samples_split=2, max_features=6, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=40, n_estimators=240, min_samples_leaf=1, min_samples_split=2, max_features=7, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=100, n_estimators=650, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, n_jobs=32, random_state=10, ) if kernel == "fc": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=70, n_estimators=330, min_samples_leaf=1, min_samples_split=2, max_features=4, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=70, n_estimators=330, min_samples_leaf=1, min_samples_split=2, max_features=4, oob_score=True, n_jobs=32, random_state=10, ) if kernel == "channelshuffle": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if kernel == "se": if hardware == "cpu": model = RandomForestRegressor( max_depth=20, n_estimators=290, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=110, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if kernel == "maxpool": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=210, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if kernel == "globalavgpool": if hardware == "cpu": model = RandomForestRegressor( max_depth=70, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if kernel == "hswish": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=110, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if kernel == "avgpool": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=390, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if kernel == "bnrelu": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=570, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if kernel == "relu": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if kernel == "bn": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=370, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=390, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) if kernel == "concat": if hardware == "cpu": model = RandomForestRegressor( max_depth=100, n_estimators=690, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if hardware == "gpu": model = RandomForestRegressor( max_depth=100, n_estimators=690, min_samples_leaf=1, min_samples_split=2, max_features=5, oob_score=True, random_state=10, ) if kernel == "addrelu": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=570, min_samples_leaf=1, min_samples_split=2, max_features=3, oob_score=True, random_state=10, ) if hardware == "addrelu": model = RandomForestRegressor( max_depth=50, n_estimators=570, min_samples_leaf=1, min_samples_split=2, max_features=3, oob_score=True, random_state=10, ) if hardware == "vpu": model = RandomForestRegressor( max_depth=50, n_estimators=570, min_samples_leaf=1, min_samples_split=2, max_features=3, oob_score=True, random_state=10, ) if kernel == "split": if hardware == "cpu": model = RandomForestRegressor( max_depth=50, n_estimators=190, min_samples_leaf=1, min_samples_split=2, max_features=2, oob_score=True, random_state=10, ) return model

31.398104

50

0.443094

1,172

13,250

4.705631

0.070819

0.141432

0.205077

0.240435

0.943427

0.932548

0.93146

0

0.05891

0.484981

13,250

421

51

31.472684

0.749267

0.005132

0

0.83293

0

0.016997

0

1

0.002421

false

0

0.002421

0

0.007264

0

null

0

1

0

1

0

null

0

9

c6fa0ef950b2dcf77c4cfc7d3f7a3393711ebcf4

2,366

py

Python

problems/test_ic_29_bracket_validator.py

gregdferrell/algo

974ae25b028d49bcb7ded6655a7e11dcf6aa221d

[ "MIT" ]

null

problems/test_ic_29_bracket_validator.py

gregdferrell/algo

974ae25b028d49bcb7ded6655a7e11dcf6aa221d

[ "MIT" ]

null

problems/test_ic_29_bracket_validator.py

gregdferrell/algo

974ae25b028d49bcb7ded6655a7e11dcf6aa221d

[ "MIT" ]

null

from .ic_29_bracket_validator import bracket_validator def test_bracket_validator_paren(): text = "alert('hi');" assert bracket_validator(text) def test_bracket_validator_curly(): text = "alert{'hi'};" assert bracket_validator(text) def test_bracket_validator_box(): text = "alert['hi'];" assert bracket_validator(text) def test_bracket_validator_paren_no_open(): text = "alert'hi');" assert not bracket_validator(text) def test_bracket_validator_curly_no_open(): text = "alert'hi'};" assert not bracket_validator(text) def test_bracket_validator_box_no_open(): text = "alert'hi'];" assert not bracket_validator(text) def test_bracket_validator_paren_no_close(): text = "alert('hi';" assert not bracket_validator(text) def test_bracket_validator_curly_no_close(): text = "alert{'hi';" assert not bracket_validator(text) def test_bracket_validator_box_no_close(): text = "alert['hi';" assert not bracket_validator(text) def test_bracket_validator_paren_wrong_close(): text = "alert('hi'];" assert not bracket_validator(text) text = "alert('hi'};" assert not bracket_validator(text) def test_bracket_validator_curly_wrong_close(): text = "alert{'hi'];" assert not bracket_validator(text) text = "alert{'hi');" assert not bracket_validator(text) def test_bracket_validator_box_wrong_close(): text = "alert['hi');" assert not bracket_validator(text) text = "alert['hi'};" assert not bracket_validator(text) def test_bracket_validator_multiple(): text = "alert('hi');(){}[]abc(abc)abc{abc}abc[abc]abc" assert bracket_validator(text) def test_bracket_validator_nested(): text = "([abcde(fg{h[]i[]j}klmnopqrst)uvwx]{y}z)" assert bracket_validator(text) def test_bracket_validator_nested_bad_1(): text = "([abcde(fg{h[]i[]j}klmnopqrst)uvwx]{y}z" assert not bracket_validator(text) def test_bracket_validator_nested_bad_2(): text = "([abcde(fg{h[]i]j}klmnopqrst)uvwx]{y}z)" assert not bracket_validator(text) def test_bracket_validator_nested_bad_3(): text = "([abcde(fg{h[]i[]j}klmnopqrstuvwx]{y}z)" assert not bracket_validator(text) def test_bracket_validator_nested_bad_4(): text = "(abcde(fg{h[]i[]j}klmnopqrst)uvwx]{y}z)" assert not bracket_validator(text) def test_bracket_validator_nested_bad_5(): text = "([abcde(fgh[]i[]j}klmnopqrst)uvwx]{y}z)" assert not bracket_validator(text)

22.320755

55

0.751902

349

2,366

4.77937

0.114613

0.41247

0.263789

0.26199

0.942446

0.925659

0.904676

0.89988

0.832734

0

0.003314

0.107354

2,366

105

56

22.533333

0.786458

0

0.34375

0

0.191885

0.118343

0

0.34375

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0.296875

false

0

0.015625

0

0.3125

0

null

1

0

null

0

1

0

10

05a3f57563fe880de0c3062418588fb36e6b1efc

46,049

py

Python

velo_payments/api/payout_service_api.py

velopaymentsapi/velo-python

59b39555e9714139b4bf697151cc7d15f6dd510e

[ "Apache-2.0" ]

null

velo_payments/api/payout_service_api.py

velopaymentsapi/velo-python

59b39555e9714139b4bf697151cc7d15f6dd510e

[ "Apache-2.0" ]

null

velo_payments/api/payout_service_api.py

velopaymentsapi/velo-python

59b39555e9714139b4bf697151cc7d15f6dd510e

[ "Apache-2.0" ]

null

# coding: utf-8 """ Velo Payments APIs ## Terms and Definitions Throughout this document and the Velo platform the following terms are used: * **Payor.** An entity (typically a corporation) which wishes to pay funds to one or more payees via a payout. * **Payee.** The recipient of funds paid out by a payor. * **Payment.** A single transfer of funds from a payor to a payee. * **Payout.** A batch of Payments, typically used by a payor to logically group payments (e.g. by business day). Technically there need be no relationship between the payments in a payout - a single payout can contain payments to multiple payees and/or multiple payments to a single payee. * **Sandbox.** An integration environment provided by Velo Payments which offers a similar API experience to the production environment, but all funding and payment events are simulated, along with many other services such as OFAC sanctions list checking. ## Overview The Velo Payments API allows a payor to perform a number of operations. The following is a list of the main capabilities in a natural order of execution: * Authenticate with the Velo platform * Maintain a collection of payees * Query the payor’s current balance of funds within the platform and perform additional funding * Issue payments to payees * Query the platform for a history of those payments This document describes the main concepts and APIs required to get up and running with the Velo Payments platform. It is not an exhaustive API reference. For that, please see the separate Velo Payments API Reference. ## API Considerations The Velo Payments API is REST based and uses the JSON format for requests and responses. Most calls are secured using OAuth 2 security and require a valid authentication access token for successful operation. See the Authentication section for details. Where a dynamic value is required in the examples below, the {token} format is used, suggesting that the caller needs to supply the appropriate value of the token in question (without including the { or } characters). Where curl examples are given, the –d @filename.json approach is used, indicating that the request body should be placed into a file named filename.json in the current directory. Each of the curl examples in this document should be considered a single line on the command-line, regardless of how they appear in print. ## Authenticating with the Velo Platform Once Velo backoffice staff have added your organization as a payor within the Velo platform sandbox, they will create you a payor Id, an API key and an API secret and share these with you in a secure manner. You will need to use these values to authenticate with the Velo platform in order to gain access to the APIs. The steps to take are explained in the following: create a string comprising the API key (e.g. 44a9537d-d55d-4b47-8082-14061c2bcdd8) and API secret (e.g. c396b26b-137a-44fd-87f5-34631f8fd529) with a colon between them. E.g. 44a9537d-d55d-4b47-8082-14061c2bcdd8:c396b26b-137a-44fd-87f5-34631f8fd529 base64 encode this string. E.g.: NDRhOTUzN2QtZDU1ZC00YjQ3LTgwODItMTQwNjFjMmJjZGQ4OmMzOTZiMjZiLTEzN2EtNDRmZC04N2Y1LTM0NjMxZjhmZDUyOQ== create an HTTP **Authorization** header with the value set to e.g. Basic NDRhOTUzN2QtZDU1ZC00YjQ3LTgwODItMTQwNjFjMmJjZGQ4OmMzOTZiMjZiLTEzN2EtNDRmZC04N2Y1LTM0NjMxZjhmZDUyOQ== perform the Velo authentication REST call using the HTTP header created above e.g. via curl: ``` curl -X POST \\ -H \"Content-Type: application/json\" \\ -H \"Authorization: Basic NDRhOTUzN2QtZDU1ZC00YjQ3LTgwODItMTQwNjFjMmJjZGQ4OmMzOTZiMjZiLTEzN2EtNDRmZC04N2Y1LTM0NjMxZjhmZDUyOQ==\" \\ 'https://api.sandbox.velopayments.com/v1/authenticate?grant_type=client_credentials' ``` If successful, this call will result in a **200** HTTP status code and a response body such as: ``` { \"access_token\":\"19f6bafd-93fd-4747-b229-00507bbc991f\", \"token_type\":\"bearer\", \"expires_in\":1799, \"scope\":\"...\" } ``` ## API access following authentication Following successful authentication, the value of the access_token field in the response (indicated in green above) should then be presented with all subsequent API calls to allow the Velo platform to validate that the caller is authenticated. This is achieved by setting the HTTP Authorization header with the value set to e.g. Bearer 19f6bafd-93fd-4747-b229-00507bbc991f such as the curl example below: ``` -H \"Authorization: Bearer 19f6bafd-93fd-4747-b229-00507bbc991f \" ``` If you make other Velo API calls which require authorization but the Authorization header is missing or invalid then you will get a **401** HTTP status response. # noqa: E501 The version of the OpenAPI document: 2.26.124 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from velo_payments.api_client import ApiClient from velo_payments.exceptions import ( ApiTypeError, ApiValueError ) class PayoutServiceApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_quote_for_payout_v3(self, payout_id, **kwargs): # noqa: E501 """Create a quote for the payout # noqa: E501 Create quote for a payout # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_quote_for_payout_v3(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: QuoteResponseV3 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_quote_for_payout_v3_with_http_info(payout_id, **kwargs) # noqa: E501 def create_quote_for_payout_v3_with_http_info(self, payout_id, **kwargs): # noqa: E501 """Create a quote for the payout # noqa: E501 Create quote for a payout # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_quote_for_payout_v3_with_http_info(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(QuoteResponseV3, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['payout_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method create_quote_for_payout_v3" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'payout_id' is set if ('payout_id' not in local_var_params or local_var_params['payout_id'] is None): raise ApiValueError("Missing the required parameter `payout_id` when calling `create_quote_for_payout_v3`") # noqa: E501 collection_formats = {} path_params = {} if 'payout_id' in local_var_params: path_params['payoutId'] = local_var_params['payout_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2'] # noqa: E501 return self.api_client.call_api( '/v3/payouts/{payoutId}/quote', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QuoteResponseV3', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_payments_for_payout_v3(self, payout_id, **kwargs): # noqa: E501 """Retrieve payments for a payout # noqa: E501 Retrieve payments for a payout # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_payments_for_payout_v3(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param str status: Payment Status * ACCEPTED: any payment which was accepted at submission time (status may have changed since) * REJECTED: any payment rejected by initial submission processing * WITHDRAWN: any payment which has been withdrawn * WITHDRAWABLE: any payment eligible for withdrawal :param str remote_id: The remote id of the payees. :param str payor_payment_id: Payor's Id of the Payment :param str source_account_name: Physical Account Name :param str transmission_type: Transmission Type * ACH * SAME_DAY_ACH * WIRE :param str payment_memo: Payment Memo of the Payment :param int page_size: The number of results to return in a page :param int page: Page number. Default is 1. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: PagedPaymentsResponseV3 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_payments_for_payout_v3_with_http_info(payout_id, **kwargs) # noqa: E501 def get_payments_for_payout_v3_with_http_info(self, payout_id, **kwargs): # noqa: E501 """Retrieve payments for a payout # noqa: E501 Retrieve payments for a payout # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_payments_for_payout_v3_with_http_info(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param str status: Payment Status * ACCEPTED: any payment which was accepted at submission time (status may have changed since) * REJECTED: any payment rejected by initial submission processing * WITHDRAWN: any payment which has been withdrawn * WITHDRAWABLE: any payment eligible for withdrawal :param str remote_id: The remote id of the payees. :param str payor_payment_id: Payor's Id of the Payment :param str source_account_name: Physical Account Name :param str transmission_type: Transmission Type * ACH * SAME_DAY_ACH * WIRE :param str payment_memo: Payment Memo of the Payment :param int page_size: The number of results to return in a page :param int page: Page number. Default is 1. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(PagedPaymentsResponseV3, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['payout_id', 'status', 'remote_id', 'payor_payment_id', 'source_account_name', 'transmission_type', 'payment_memo', 'page_size', 'page'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_payments_for_payout_v3" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'payout_id' is set if ('payout_id' not in local_var_params or local_var_params['payout_id'] is None): raise ApiValueError("Missing the required parameter `payout_id` when calling `get_payments_for_payout_v3`") # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] > 100: # noqa: E501 raise ApiValueError("Invalid value for parameter `page_size` when calling `get_payments_for_payout_v3`, must be a value less than or equal to `100`") # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] < 1: # noqa: E501 raise ApiValueError("Invalid value for parameter `page_size` when calling `get_payments_for_payout_v3`, must be a value greater than or equal to `1`") # noqa: E501 collection_formats = {} path_params = {} if 'payout_id' in local_var_params: path_params['payoutId'] = local_var_params['payout_id'] # noqa: E501 query_params = [] if 'status' in local_var_params: query_params.append(('status', local_var_params['status'])) # noqa: E501 if 'remote_id' in local_var_params: query_params.append(('remoteId', local_var_params['remote_id'])) # noqa: E501 if 'payor_payment_id' in local_var_params: query_params.append(('payorPaymentId', local_var_params['payor_payment_id'])) # noqa: E501 if 'source_account_name' in local_var_params: query_params.append(('sourceAccountName', local_var_params['source_account_name'])) # noqa: E501 if 'transmission_type' in local_var_params: query_params.append(('transmissionType', local_var_params['transmission_type'])) # noqa: E501 if 'payment_memo' in local_var_params: query_params.append(('paymentMemo', local_var_params['payment_memo'])) # noqa: E501 if 'page_size' in local_var_params: query_params.append(('pageSize', local_var_params['page_size'])) # noqa: E501 if 'page' in local_var_params: query_params.append(('page', local_var_params['page'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2'] # noqa: E501 return self.api_client.call_api( '/v3/payouts/{payoutId}/payments', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PagedPaymentsResponseV3', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_payout_summary_v3(self, payout_id, **kwargs): # noqa: E501 """Get Payout Summary # noqa: E501 Get payout summary - returns the current state of the payout. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_payout_summary_v3(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: PayoutSummaryResponseV3 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_payout_summary_v3_with_http_info(payout_id, **kwargs) # noqa: E501 def get_payout_summary_v3_with_http_info(self, payout_id, **kwargs): # noqa: E501 """Get Payout Summary # noqa: E501 Get payout summary - returns the current state of the payout. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_payout_summary_v3_with_http_info(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(PayoutSummaryResponseV3, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['payout_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_payout_summary_v3" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'payout_id' is set if ('payout_id' not in local_var_params or local_var_params['payout_id'] is None): raise ApiValueError("Missing the required parameter `payout_id` when calling `get_payout_summary_v3`") # noqa: E501 collection_formats = {} path_params = {} if 'payout_id' in local_var_params: path_params['payoutId'] = local_var_params['payout_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2'] # noqa: E501 return self.api_client.call_api( '/v3/payouts/{payoutId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PayoutSummaryResponseV3', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def instruct_payout_v3(self, payout_id, **kwargs): # noqa: E501 """Instruct Payout # noqa: E501 Instruct a payout to be made for the specified payoutId. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.instruct_payout_v3(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.instruct_payout_v3_with_http_info(payout_id, **kwargs) # noqa: E501 def instruct_payout_v3_with_http_info(self, payout_id, **kwargs): # noqa: E501 """Instruct Payout # noqa: E501 Instruct a payout to be made for the specified payoutId. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.instruct_payout_v3_with_http_info(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['payout_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method instruct_payout_v3" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'payout_id' is set if ('payout_id' not in local_var_params or local_var_params['payout_id'] is None): raise ApiValueError("Missing the required parameter `payout_id` when calling `instruct_payout_v3`") # noqa: E501 collection_formats = {} path_params = {} if 'payout_id' in local_var_params: path_params['payoutId'] = local_var_params['payout_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2'] # noqa: E501 return self.api_client.call_api( '/v3/payouts/{payoutId}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def submit_payout_v3(self, create_payout_request_v3, **kwargs): # noqa: E501 """Submit Payout # noqa: E501 Create a new payout and return a location header with a link to get the payout. Basic validation of the payout is performed before returning but more comprehensive validation is done asynchronously. The results can be obtained by issuing a HTTP GET to the URL returned in the location header. **NOTE:** amount values in payments must be in 'minor units' format. E.g. cents for USD, pence for GBP etc. with no decimal places. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.submit_payout_v3(create_payout_request_v3, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param CreatePayoutRequestV3 create_payout_request_v3: Post amount to transfer using stored funding account details. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.submit_payout_v3_with_http_info(create_payout_request_v3, **kwargs) # noqa: E501 def submit_payout_v3_with_http_info(self, create_payout_request_v3, **kwargs): # noqa: E501 """Submit Payout # noqa: E501 Create a new payout and return a location header with a link to get the payout. Basic validation of the payout is performed before returning but more comprehensive validation is done asynchronously. The results can be obtained by issuing a HTTP GET to the URL returned in the location header. **NOTE:** amount values in payments must be in 'minor units' format. E.g. cents for USD, pence for GBP etc. with no decimal places. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.submit_payout_v3_with_http_info(create_payout_request_v3, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param CreatePayoutRequestV3 create_payout_request_v3: Post amount to transfer using stored funding account details. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['create_payout_request_v3'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method submit_payout_v3" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'create_payout_request_v3' is set if ('create_payout_request_v3' not in local_var_params or local_var_params['create_payout_request_v3'] is None): raise ApiValueError("Missing the required parameter `create_payout_request_v3` when calling `submit_payout_v3`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'create_payout_request_v3' in local_var_params: body_params = local_var_params['create_payout_request_v3'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2'] # noqa: E501 return self.api_client.call_api( '/v3/payouts', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def withdraw_payment(self, payment_id, withdraw_payment_request, **kwargs): # noqa: E501 """Withdraw a Payment # noqa: E501 withdraw a payment There are a variety of reasons why this can fail <ul> <li>the payment must be in a state of 'accepted' or 'unfunded'</li> <li>the payout must not be in a state of 'instructed'</li> </ul> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.withdraw_payment(payment_id, withdraw_payment_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payment_id: Id of the Payment (required) :param WithdrawPaymentRequest withdraw_payment_request: details for withdrawal (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.withdraw_payment_with_http_info(payment_id, withdraw_payment_request, **kwargs) # noqa: E501 def withdraw_payment_with_http_info(self, payment_id, withdraw_payment_request, **kwargs): # noqa: E501 """Withdraw a Payment # noqa: E501 withdraw a payment There are a variety of reasons why this can fail <ul> <li>the payment must be in a state of 'accepted' or 'unfunded'</li> <li>the payout must not be in a state of 'instructed'</li> </ul> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.withdraw_payment_with_http_info(payment_id, withdraw_payment_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payment_id: Id of the Payment (required) :param WithdrawPaymentRequest withdraw_payment_request: details for withdrawal (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['payment_id', 'withdraw_payment_request'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method withdraw_payment" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'payment_id' is set if ('payment_id' not in local_var_params or local_var_params['payment_id'] is None): raise ApiValueError("Missing the required parameter `payment_id` when calling `withdraw_payment`") # noqa: E501 # verify the required parameter 'withdraw_payment_request' is set if ('withdraw_payment_request' not in local_var_params or local_var_params['withdraw_payment_request'] is None): raise ApiValueError("Missing the required parameter `withdraw_payment_request` when calling `withdraw_payment`") # noqa: E501 collection_formats = {} path_params = {} if 'payment_id' in local_var_params: path_params['paymentId'] = local_var_params['payment_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'withdraw_payment_request' in local_var_params: body_params = local_var_params['withdraw_payment_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2'] # noqa: E501 return self.api_client.call_api( '/v1/payments/{paymentId}/withdraw', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def withdraw_payout_v3(self, payout_id, **kwargs): # noqa: E501 """Withdraw Payout # noqa: E501 Withdraw Payout will delete payout details from payout service and rails services but will just move the status of the payout to WITHDRAWN in payment audit. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.withdraw_payout_v3(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.withdraw_payout_v3_with_http_info(payout_id, **kwargs) # noqa: E501 def withdraw_payout_v3_with_http_info(self, payout_id, **kwargs): # noqa: E501 """Withdraw Payout # noqa: E501 Withdraw Payout will delete payout details from payout service and rails services but will just move the status of the payout to WITHDRAWN in payment audit. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.withdraw_payout_v3_with_http_info(payout_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str payout_id: Id of the payout (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['payout_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method withdraw_payout_v3" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'payout_id' is set if ('payout_id' not in local_var_params or local_var_params['payout_id'] is None): raise ApiValueError("Missing the required parameter `payout_id` when calling `withdraw_payout_v3`") # noqa: E501 collection_formats = {} path_params = {} if 'payout_id' in local_var_params: path_params['payoutId'] = local_var_params['payout_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2'] # noqa: E501 return self.api_client.call_api( '/v3/payouts/{payoutId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)

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46,049

5.028352

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0.034611

0.053619

0.022341

0.832441

0.818256

0.806837

0.790986

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0

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0.288823

46,049

845

4,652

54.495858

0.84082

0.530652

0

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0.209906

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0

1

0.039683

false

0

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1

0

1

0

1

0

null

0

8

05fcb155cba29c24437d1d749fbe9f69205633bc

135

py

Python

tests/test_loading.py

dpr-rpg/notebrowser

66ccda9ed23a280d281a28825fad316062cad963

[ "MIT" ]

null

tests/test_loading.py

dpr-rpg/notebrowser

66ccda9ed23a280d281a28825fad316062cad963

[ "MIT" ]

null

tests/test_loading.py

dpr-rpg/notebrowser

66ccda9ed23a280d281a28825fad316062cad963

[ "MIT" ]

null

from pathlib import Path from notebrowser import loading def test_load_records(): loading.load_records(Path("example/records"))

16.875

49

0.785185

18

135

5.722222

0.611111

0.213592

0

0.133333

135

7

50

19.285714

0.880342

0

0.111111

0

1

0.25

true

0

0.5

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

af41f6524b6f8153f8b4e45aaed766bb2c39c783

1,259

py

Python

exp/splixels/pgm.py

NMinhNguyen/wordsandbuttons

beba7f73c46f40790ad2482c2c0c04cfa5f626a4

[ "Unlicense" ]

367

2018-01-29T17:45:00.000Z

2022-03-08T03:50:52.000Z

exp/splixels/pgm.py

NMinhNguyen/wordsandbuttons

beba7f73c46f40790ad2482c2c0c04cfa5f626a4

[ "Unlicense" ]

9

2017-12-21T16:48:08.000Z

2021-01-23T17:20:20.000Z

exp/splixels/pgm.py

NMinhNguyen/wordsandbuttons

beba7f73c46f40790ad2482c2c0c04cfa5f626a4

[ "Unlicense" ]

20

2018-02-18T11:52:36.000Z

2021-11-22T09:46:53.000Z

pgm = """ P2 # CREATOR: GIMP PNM Filter Version 1.1 16 16 255 0 0 0 0 0 0 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 22 42 52 52 42 22 0 0 0 0 0 0 0 0 10 52 96 122 140 140 122 96 52 10 0 0 0 0 0 10 66 121 170 193 202 202 193 170 121 66 10 0 0 0 0 52 121 181 211 222 226 226 222 211 181 121 52 0 0 0 22 96 170 211 226 231 234 234 231 226 211 170 96 22 0 1 42 122 193 222 231 235 237 237 235 231 222 193 122 42 1 2 52 140 202 226 234 237 238 238 237 234 226 202 140 52 2 2 52 140 202 226 234 237 238 238 237 234 226 202 140 52 2 1 42 122 193 222 231 235 237 237 235 231 222 193 122 42 1 0 22 96 170 211 226 231 234 234 231 226 211 170 96 22 0 0 0 52 121 181 211 222 226 226 222 211 181 121 52 0 0 0 0 10 66 121 170 193 202 202 193 170 121 66 10 0 0 0 0 0 10 52 96 122 140 140 122 96 52 10 0 0 0 0 0 0 0 0 22 42 52 52 42 22 0 0 0 0 0 0 0 0 0 0 0 1 2 2 1 0 0 0 0 0 0 """ lines = [line for line in pgm.split('\n') if line != ''] w = int(lines[2].split(' ')[0]) h = int(lines[2].split(' ')[1]) data_in_rows = "" for i in range(h): row = "" for j in range(w): value = lines[4 + w*i +j] + ' ' row += value + ' '*(4 - len(value)) data_in_rows += row + '\n' print (lines[0]) print (lines[1]) print (lines[2]) print (lines[3]) print (data_in_rows)

4.512545

56

0.623511

336

1,259

2.318452

0.160714

0.159178

0.192555

0.195122

0.682927

0

0.621622

0.294678

1,259

278

57

4.528777

0.255631

0

0.592058

0

0.674345

0

1

0

1

0

false

0

0.018051

0

null

0

1

0

1

0

1

0

1

0

1

0

null

1

0

8

af721498240d661610615a3704e6210c90697db2

102

py

Python

wildfirepy/net/__init__.py

Lashuk1729/wildfirepy

085a1b90e64e4875aa6e9e7fc882902acff97775

[ "MIT" ]

21

2020-05-03T11:29:49.000Z

2021-08-18T15:51:29.000Z

wildfirepy/net/__init__.py

lisa761/wildfirepy

9f54e87adf7d7ff3738f1a13303d4073dd82fbc1

[ "MIT" ]

60

2020-05-01T22:35:09.000Z

2020-12-07T08:48:59.000Z

wildfirepy/net/__init__.py

lisa761/wildfirepy

9f54e87adf7d7ff3738f1a13303d4073dd82fbc1

[ "MIT" ]

24

2020-05-02T02:01:56.000Z

2021-01-05T18:03:19.000Z

from wildfirepy.net.snpp import * from wildfirepy.net.usgs import * from wildfirepy.net.util import *

25.5

33

0.794118

15

102

5.4

0.466667

0.518519

0.62963

0.567901

0

0.117647

102

3

34

0.9

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

bb880a94f092ed8327a97fc1d27738bf4cb06f89

267

py

Python

python/armstrong-numbers/armstrong_numbers.py

sudopluto/exercism

d18f637c6ab0c857ea8623dacb47e73af74dfa96

[ "MIT" ]

null

python/armstrong-numbers/armstrong_numbers.py

sudopluto/exercism

d18f637c6ab0c857ea8623dacb47e73af74dfa96

[ "MIT" ]

null

python/armstrong-numbers/armstrong_numbers.py

sudopluto/exercism

d18f637c6ab0c857ea8623dacb47e73af74dfa96

[ "MIT" ]

null

def is_armstrong(number): return is_armstrong_acc(number, len(str(number)), 0) == number def is_armstrong_acc(number, power, acc): if number == 0: return acc else: return is_armstrong_acc(number // 10, power, acc + (number % 10) ** power)

33.375

82

0.651685

38

267

4.394737

0.342105

0.263473

0.251497

0.359281

0.311377

0

0.028846

0.220974

267

8

82

33.375

0.774038

0

1

0.285714

false

0

0.142857

0.714286

0

null

1

0

1

0

null

0

1

0

1

0

7

bba6959a2d7c864960af48eed420faab29b3c425

2,664

py

Python

notebook/skimage_util_montage.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

174

2018-05-30T21:14:50.000Z

2022-03-25T07:59:37.000Z

notebook/skimage_util_montage.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

5

2019-08-10T03:22:02.000Z

2021-07-12T20:31:17.000Z

notebook/skimage_util_montage.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

53

2018-04-27T05:26:35.000Z

2022-03-25T07:59:37.000Z

import numpy as np import skimage.util a = np.arange(1, 7).reshape(2, 3) print(a) # [[1 2 3] # [4 5 6]] b = a * 10 print(b) # [[10 20 30] # [40 50 60]] c = a * 100 print(c) # [[100 200 300] # [400 500 600]] m = skimage.util.montage([a, b, c]) print(m) # [[ 1 2 3 10 20 30] # [ 4 5 6 40 50 60] # [100 200 300 129 129 129] # [400 500 600 129 129 129]] print(m.shape) # (4, 6) abc = np.array([a, b, c]) print(abc) # [[[ 1 2 3] # [ 4 5 6]] # # [[ 10 20 30] # [ 40 50 60]] # # [[100 200 300] # [400 500 600]]] print(abc.shape) # (3, 2, 3) print(skimage.util.montage(abc)) # [[ 1 2 3 10 20 30] # [ 4 5 6 40 50 60] # [100 200 300 129 129 129] # [400 500 600 129 129 129]] d = a[:, :2] print(d) # [[1 2] # [4 5]] # skimage.util.montage([a, b, c, d]) # ValueError: could not broadcast input array from shape (2,3) into shape (2) print(np.mean(np.array([a, b, c]))) # 129.5 print(skimage.util.montage([a, b, c], fill=0)) # [[ 1 2 3 10 20 30] # [ 4 5 6 40 50 60] # [100 200 300 0 0 0] # [400 500 600 0 0 0]] print(skimage.util.montage([a, b, c], grid_shape=(1, 3))) # [[ 1 2 3 10 20 30 100 200 300] # [ 4 5 6 40 50 60 400 500 600]] print(skimage.util.montage([a, b, c], grid_shape=(3, 1))) # [[ 1 2 3] # [ 4 5 6] # [ 10 20 30] # [ 40 50 60] # [100 200 300] # [400 500 600]] # print(skimage.util.montage([a, b, c], grid_shape=(1, 2))) # IndexError: list index out of range print(skimage.util.montage([a, b, c], grid_shape=(2, 3))) # [[ 1 2 3 10 20 30 100 200 300] # [ 4 5 6 40 50 60 400 500 600] # [129 129 129 129 129 129 129 129 129] # [129 129 129 129 129 129 129 129 129]] print(skimage.util.montage([a, b, c], grid_shape=(2, 3), fill=0)) # [[ 1 2 3 10 20 30 100 200 300] # [ 4 5 6 40 50 60 400 500 600] # [ 0 0 0 0 0 0 0 0 0] # [ 0 0 0 0 0 0 0 0 0]] print(skimage.util.montage([a, b, c], padding_width=1)) # [[129 129 129 129 129 129 129 129 129] # [129 1 2 3 129 10 20 30 129] # [129 4 5 6 129 40 50 60 129] # [129 129 129 129 129 129 129 129 129] # [129 100 200 300 129 129 129 129 129] # [129 400 500 600 129 129 129 129 129] # [129 129 129 129 129 129 129 129 129]] print(skimage.util.montage([a, b, c], padding_width=1, fill=0)) # [[ 0 0 0 0 0 0 0 0 0] # [ 0 1 2 3 0 10 20 30 0] # [ 0 4 5 6 0 40 50 60 0] # [ 0 0 0 0 0 0 0 0 0] # [ 0 100 200 300 0 0 0 0 0] # [ 0 400 500 600 0 0 0 0 0] # [ 0 0 0 0 0 0 0 0 0]]

24

77

0.499625

535

2,664

2.474766

0.106542

0.285498

0.360272

0.135952

0.756798

0.741692

0.660121

0.640483

0.632931

0.614804

0

0.416762

0.341592

2,664

110

78

24.218182

0.338084

0.667417

0

1

0

false

0

0.08

0

0.08

0.68

0

null

1

0

1

0

1

0

1

0

1

0

null

0

1

0

7

bbeec33436fdac27caca9645fa56daefd04e82a2

13,428

py

Python

backend/tests/test_process_sketch_results.py

uwplse/stng

ce12c2c079516df873382a5aa3c18c407833d130

[ "MIT" ]

14

2017-03-07T00:14:33.000Z

2022-02-09T00:59:22.000Z

backend/tests/test_process_sketch_results.py

uwplse/stng

ce12c2c079516df873382a5aa3c18c407833d130

[ "MIT" ]

11

2016-11-22T13:14:55.000Z

2021-12-14T00:56:51.000Z

backend/tests/test_process_sketch_results.py

uwplse/stng

ce12c2c079516df873382a5aa3c18c407833d130

[ "MIT" ]

6

2016-11-07T13:38:45.000Z

2021-04-04T12:13:31.000Z

import unittest from process_sketch_results import * class TestIdxParsing(unittest.TestCase): def test_parsing(self): tc1 = """void idx_node_mass_pre (int x_max, int x_min, int y_max, int y_min, int k, int j, ref int _out)/*a3.sk:142*/ { _out = 0; _out = (99 + k) + (((y_max + 2) - (y_min - 3)) * j); return; }""" result = IdxParser(tc1).interpret("idx_node_mass_pre(a,b,c,d,_k,_j,_out_37)") self.assertEqual(result, "_out_37 = 0\n_out_37 = _j*(c - d + 5) + _k + 99\n") result = IdxParser(tc1).interpret("idx_node_mass_pre(a, b, c,d,_k,_j, _out_37)") self.assertEqual(result, "_out_37 = 0\n_out_37 = _j*(c - d + 5) + _k + 99\n") class TestFullExample(unittest.TestCase): def test_full(self): tc2 = """void gen_node_mass_pre_postcondition (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int _limit, ref double _out)/*a3.sk :109*/ { _out = 0.0; assert (_limit > 0); //Assert at a3.sk:189 (2365095157446817455) int acc_s33 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33); int acc_s35 = 0; idx_node_mass_post(x_max, x_min, y_max, y_min, k, j, acc_s35); double arracc_s29 = node_mass_post[acc_s35]; int _limit_0 = _limit - 1; assert (_limit_0 > 0); //Assert at a3.sk:189 (-240272354471628473) int acc_s33_0 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33_0); double arracc_s29_0 = node_flux[acc_s33_0]; assert ((_limit_0 - 1) > 0); //Assert at a3.sk:189 (107965870416579323) int acc_s33_1 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k - 1, j, acc_s33_1); double arracc_s29_1 = node_flux[acc_s33_1]; _out = arracc_s29 + (arracc_s29_0 - arracc_s29_1); return; } /*a3.sk:136*/ void idx_node_flux (int x_max, int x_min, int y_max, int y_min, int k, int j, ref int _out)/*a3.sk:136*/ { _out = 0; _out = (99 + k) + (((y_max + 3) - (y_min - 2)) * j); return; } /*a3.sk:139*/ void idx_node_mass_post (int x_max, int x_min, int y_max, int y_min, int k, int j, ref int _out)/*a3.sk:139*/ { _out = 0; _out = (99 + k) + (((y_max + 2) - (y_min - 3)) * j); return; } /*a3.sk:142*/ void idx_node_mass_pre (int x_max, int x_min, int y_max, int y_min, int k, int j, ref int _out)/*a3.sk:142*/ { _out = 0; _out = (99 + k) + (((y_max + 2) - (y_min - 3)) * j); return; }""" result = SketchResultProcessor(tc2).interpret() print result def test_huge(self): tc3 = """/* BEGIN PACKAGE ANONYMOUS*/ /*a3.sk:67*/ void I_j (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, ref bit _out)/*a3.sk:67*/ { _out = 0; _out = 1; bit _pac_sc_s59_s61 = 0; I_k(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, j, _pac_sc_s59_s61); _out = _pac_sc_s59_s61; for(int _k = k; _k <= k; _k = _k + 1)/*Canonical*/ { for(int _j = x_min; _j < j; _j = _j + 1)/*Canonical*/ { int _out_s63 = 0; idx_node_mass_pre(x_max, x_min, y_max, y_min, _k, _j, _out_s63); double _out_s65 = 0.0; gen_node_mass_pre_j(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, _k, _j, 8, _out_s65); if(!((node_mass_pre[_out_s63]) == _out_s65))/*a3.sk:76*/ { _out = 0; } } } return; } /*a3.sk:87*/ void I_j2 (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int k_p, int j_p, ref bit _out)/*a3.sk:87*/ { _out = 0; _out = 1; bit _pac_sc_s46_s48 = 0; I_k2(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, j, k_p, j_p, _pac_sc_s46_s48); _out = _pac_sc_s46_s48; if((k_p >= k) && (k_p <= k))/*a3.sk:96*/ { if((j_p >= x_min) && (j_p < j))/*a3.sk:97*/ { int _out_s50 = 0; idx_node_mass_pre(x_max, x_min, y_max, y_min, k_p, j_p, _out_s50); double _out_s52 = 0.0; gen_node_mass_pre_j(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k_p, j_p, 8, _out_s52); if(!((node_mass_pre[_out_s50]) == _out_s52))/*a3.sk:99*/ { _out = 0; } } } return; } /*a3.sk:26*/ void I_k (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, ref bit _out)/*a3.sk:26*/ { _out = 0; _out = 1; for(int _k = y_min - 1; _k < k; _k = _k + 1)/*Canonical*/ { for(int _j = x_min; _j < (x_max + 1); _j = _j + 1)/*Canonical*/ { int _out_s56 = 0; idx_node_mass_pre(x_max, x_min, y_max, y_min, _k, _j, _out_s56); double _out_s58 = 0.0; gen_node_mass_pre_k(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, _k, _j, 8, _out_s58); if(!((node_mass_pre[_out_s56]) == _out_s58))/*a3.sk:35*/ { _out = 0; } } } return; } /*a3.sk:46*/ void I_k2 (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int k_p, int j_p, ref bit _out)/*a3.sk:46*/ { _out = 0; _out = 1; if((k_p >= (y_min - 1)) && (k_p < k))/*a3.sk:54*/ { if((j_p >= x_min) && (j_p < (x_max + 1)))/*a3.sk:55*/ { int _out_s23 = 0; idx_node_mass_pre(x_max, x_min, y_max, y_min, k_p, j_p, _out_s23); double _out_s25 = 0.0; gen_node_mass_pre_k(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k_p, j_p, 8, _out_s25); if(!((node_mass_pre[_out_s23]) == _out_s25))/*a3.sk:57*/ { _out = 0; } } } return; } /*a3.sk:1*/ void _main (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int k_p, int j_p) implements main_spec/*a3.sk:1*/ { double[1000] arr_6ebacd963b57b2b0 = node_mass_pre; arr_6ebacd963b57b2b0[99 + (k + (((y_max + 3) - (y_min - 2)) * j))] = ((node_mass_post[99 + (k + (((y_max + 3) - (y_min - 2)) * j))]) - (node_flux[99 + ((k - 1) + (((y_max + 3) - (y_min - 2)) * j))])) + (node_flux[99 + (k + (((y_max + 3) - (y_min - 2)) * j))]); bit _pac_sc_s0_s2 = 0; I_k(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, j, _pac_sc_s0_s2); bit _pac_sc_s0; _pac_sc_s0 = _pac_sc_s0_s2; if(_pac_sc_s0_s2)/*a3.sk:6*/ { _pac_sc_s0 = !(k < (y_max + 2)); } if(_pac_sc_s0)/*a3.sk:6*/ { bit _out_s4 = 0; postcondition(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, j, k_p, j_p, _out_s4); assert (_out_s4); //Assert at a3.sk:6 (2567846865267323603) } bit _pac_sc_s5_s7 = 0; I_j(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, j, _pac_sc_s5_s7); bit _pac_sc_s5; _pac_sc_s5 = _pac_sc_s5_s7; if(_pac_sc_s5_s7)/*a3.sk:8*/ { _pac_sc_s5 = !(j < (x_max + 1)); } if(_pac_sc_s5)/*a3.sk:8*/ { bit _out_s9 = 0; I_k2(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k + 1, j, k_p, j_p, _out_s9); assert (_out_s9); //Assert at a3.sk:8 (8870859163363793161) } bit _pac_sc_s10_s12 = 0; I_j(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, j, _pac_sc_s10_s12); bit _pac_sc_s10; _pac_sc_s10 = _pac_sc_s10_s12; if(_pac_sc_s10_s12)/*a3.sk:10*/ { _pac_sc_s10 = j < (x_max + 1); } if(_pac_sc_s10)/*a3.sk:10*/ { bit _out_s14 = 0; I_j2(node_flux, node_mass_post, arr_6ebacd963b57b2b0, x_max, x_min, y_max, y_min, k, j + 1, k_p, j_p, _out_s14); assert (_out_s14); //Assert at a3.sk:10 (1332034464418834564) } bit _pac_sc_s15_s17 = 0; I_k(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, j, _pac_sc_s15_s17); bit _pac_sc_s15; _pac_sc_s15 = _pac_sc_s15_s17; if(_pac_sc_s15_s17)/*a3.sk:12*/ { _pac_sc_s15 = k < (y_max + 2); } if(_pac_sc_s15)/*a3.sk:12*/ { bit _out_s19 = 0; I_j2(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k, x_min, k_p, j_p, _out_s19); assert (_out_s19); //Assert at a3.sk:12 (4159904518323808406) } bit _out_s21 = 0; I_k2(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, y_min - 1, j, k_p, j_p, _out_s21); assert (_out_s21); //Assert at a3.sk:13 (5412252336164717534) } /*a3.sk:184*/ void gen_node_mass_pre_j (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int _limit, ref double _out)/*a3.sk:184*/ { _out = 0.0; assert (_limit > 0); //Assert at a3.sk:189 (-7957491005825348185) int acc_s33 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33); int acc_s35 = 0; idx_node_mass_post(x_max, x_min, y_max, y_min, k, j, acc_s35); double arracc_s29 = node_mass_post[acc_s35]; int _limit_0 = _limit - 1; assert (_limit_0 > 0); //Assert at a3.sk:189 (-181207746944928531) int acc_s33_0 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33_0); double arracc_s29_0 = node_flux[acc_s33_0]; assert ((_limit_0 - 1) > 0); //Assert at a3.sk:189 (6519001948813514308) int acc_s33_1 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k - 1, j, acc_s33_1); double arracc_s29_1 = node_flux[acc_s33_1]; _out = arracc_s29 + (arracc_s29_0 - arracc_s29_1); return; } /*a3.sk:181*/ void gen_node_mass_pre_k (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int _limit, ref double _out)/*a3.sk:181*/ { _out = 0.0; assert (_limit > 0); //Assert at a3.sk:189 (-3679688864780935717) int acc_s33 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33); int acc_s35 = 0; idx_node_mass_post(x_max, x_min, y_max, y_min, k, j, acc_s35); double arracc_s29 = node_mass_post[acc_s35]; int _limit_0 = _limit - 1; assert (_limit_0 > 0); //Assert at a3.sk:189 (-4891675686945072495) int acc_s33_0 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k - 1, j, acc_s33_0); double arracc_s29_0 = node_flux[acc_s33_0]; assert ((_limit_0 - 1) > 0); //Assert at a3.sk:189 (6598845631811604468) int acc_s33_1 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33_1); double arracc_s29_1 = node_flux[acc_s33_1]; _out = arracc_s29 - (arracc_s29_0 - arracc_s29_1); return; } /*a3.sk:109*/ void gen_node_mass_pre_postcondition (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int _limit, ref double _out)/*a3.sk:109*/ { _out = 0.0; assert (_limit > 0); //Assert at a3.sk:189 (2365095157446817455) int acc_s33 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33); int acc_s35 = 0; idx_node_mass_post(x_max, x_min, y_max, y_min, k, j, acc_s35); double arracc_s29 = node_mass_post[acc_s35]; int _limit_0 = _limit - 1; assert (_limit_0 > 0); //Assert at a3.sk:189 (-240272354471628473) int acc_s33_0 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k, j, acc_s33_0); double arracc_s29_0 = node_flux[acc_s33_0]; assert ((_limit_0 - 1) > 0); //Assert at a3.sk:189 (107965870416579323) int acc_s33_1 = 0; idx_node_flux(x_max, x_min, y_max, y_min, k - 1, j, acc_s33_1); double arracc_s29_1 = node_flux[acc_s33_1]; _out = arracc_s29 + (arracc_s29_0 - arracc_s29_1); return; } /*a3.sk:136*/ void idx_node_flux (int x_max, int x_min, int y_max, int y_min, int k, int j, ref int _out)/*a3.sk:136*/ { _out = 0; _out = (99 + k) + (((y_max + 3) - (y_min - 2)) * j); return; } /*a3.sk:139*/ void idx_node_mass_post (int x_max, int x_min, int y_max, int y_min, int k, int j, ref int _out)/*a3.sk:139*/ { _out = 0; _out = (99 + k) + (((y_max + 2) - (y_min - 3)) * j); return; } /*a3.sk:142*/ void idx_node_mass_pre (int x_max, int x_min, int y_max, int y_min, int k, int j, ref int _out)/*a3.sk:142*/ { _out = 0; _out = (99 + k) + (((y_max + 2) - (y_min - 3)) * j); return; } /*a3.sk:16*/ void main_spec (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int k_p, int j_p)/*a3.sk:16*/ { assume (((y_max + 2) - (y_min - 1)) > 1): "Assume at a3.sk:17"; //Assume at a3.sk:17 assume (((x_max + 1) - x_min) > 1): "Assume at a3.sk:18"; //Assume at a3.sk:18 } /*a3.sk:113*/ void postcondition (ref double[1000] node_flux, ref double[1000] node_mass_post, ref double[1000] node_mass_pre, int x_max, int x_min, int y_max, int y_min, int k, int j, int k_p, int j_p, ref bit _out)/*a3.sk:113*/ { _out = 0; _out = 1; if((k_p >= (y_min - 1)) && (k_p < (y_max + 2)))/*a3.sk:117*/ { if((j_p >= x_min) && (j_p < (x_max + 1)))/*a3.sk:118*/ { int _out_s67 = 0; idx_node_mass_pre(x_max, x_min, y_max, y_min, k_p, j_p, _out_s67); double _out_s69 = 0.0; gen_node_mass_pre_postcondition(node_flux, node_mass_post, node_mass_pre, x_max, x_min, y_max, y_min, k_p, j_p, 8, _out_s69); if(!((node_mass_pre[_out_s67]) == _out_s69))/*a3.sk:120*/ { _out = 0; } } } return; }""" result = SketchResultProcessor(tc3).interpret() print result if __name__ == '__main__': unittest.main()

37.613445

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8

a53d875bb05038de185d9a8db3aa810e04c3ae81

21,833

py

Python

code/python/FactSetESG/v1/fds/sdk/FactSetESG/model/indicators.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

6

2022-02-07T16:34:18.000Z

2022-03-30T08:04:57.000Z

code/python/FactSetESG/v1/fds/sdk/FactSetESG/model/indicators.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

2

2022-02-07T05:25:57.000Z

2022-03-07T14:18:04.000Z

code/python/FactSetESG/v1/fds/sdk/FactSetESG/model/indicators.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

null

""" FactSet ESG API FactSet ESG (powered by FactSet Truvalue Labs) applies machine learning to uncover risks and opportunities from companies' Environmental, Social and Governance (ESG) behavior, which are aggregated and categorized into continuously updated, material ESG scores. The service focuses on company ESG behavior from external sources and includes both positive and negative events that go beyond traditional sources of ESG risk data. FactSet ESG extracts, analyzes, and generates scores from millions of documents each month collected from more than 100,000 data sources in over 13 languages. Sources include news, trade journals, NGOs, watchdog groups, trade blogs, industry reports and social media. Products deliver investable insights by revealing value and risk factors from unstructured data at the speed of current events. # noqa: E501 The version of the OpenAPI document: 1.3.0 Contact: api@factset.com Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from fds.sdk.FactSetESG.model_utils import ( # noqa: F401 ApiTypeError, ModelComposed, ModelNormal, ModelSimple, cached_property, change_keys_js_to_python, convert_js_args_to_python_args, date, datetime, file_type, none_type, validate_get_composed_info, OpenApiModel ) from fds.sdk.FactSetESG.exceptions import ApiAttributeError class Indicators(ModelSimple): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. Attributes: allowed_values (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict with a capitalized key describing the allowed value and an allowed value. These dicts store the allowed enum values. validations (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict that stores validations for max_length, min_length, max_items, min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum, inclusive_minimum, and regex. additional_properties_type (tuple): A tuple of classes accepted as additional properties values. """ allowed_values = { } validations = { } additional_properties_type = None _nullable = False @cached_property def openapi_types(): """ This must be a method because a model may have properties that are of type self, this must run after the class is loaded Returns openapi_types (dict): The key is attribute name and the value is attribute type. """ return { 'value': ([str],), } @cached_property def discriminator(): return None attribute_map = {} read_only_vars = set() _composed_schemas = None required_properties = set([ '_data_store', '_check_type', '_spec_property_naming', '_path_to_item', '_configuration', '_visited_composed_classes', ]) @convert_js_args_to_python_args def __init__(self, *args, **kwargs): """Indicators - a model defined in OpenAPI Note that value can be passed either in args or in kwargs, but not in both. Args: args[0] ([str]): The indicators are the Principal Adverse Impact (PAI) metrics which consists of General, Mandatory and Additional indicators which supports the SFDR reporting. The data can also be requested for individual sub topic codes in addition to the indicators mentioned below - |**SFDR PAI Indicators**|**Description**| |---|---| |**MandatoryIndicators**| Mandatory indicators are the indicators which must be reported under the EU Sustainable Finance Disclosure Regulation (SFDR).| |**AdditionalIndicators**| These are additional environmental and social indicators as mentioned in additional tables as provided in the Annex 1 table in the SFDR RTS report.| |**GHGEmissions**| This mandatory indicator includes metrics related to greenhouse emissions such as - Scope 1, 2, and 3 emissions, footprint and intensity and energy consumption from non-renewable and high climate sectors.| |**Biodiversity**| This mandatory indicator includes metrics pertaining to biodiversity and a company's impacts on biodiversity-sensitive areas.| |**Water**| This mandatory indicator includes data relating to emissions to water as made by the companies.| |**Waste**| This mandatory indicator includes data relating to hazardous waste as generated by the companies.| |**SocialEmployeeMatters**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**Emissions**| This additional indicator includes metrics related to air pollutants, inorganic pollutants and ozone depleting substance. | |**EnergyPerformance**| This additional indicator includes metrics related to various sources of non-renewable energy as used by the companies. | |**WaterWasteMaterialEmissions**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**AdditionalEmployeeMatters**| This additional indicator includes metrics related to workplace discrimination and safety, whistleblower mechanism and supplier code of conduct.| |**HumanRights**| This additional indicator includes metrics related to both policies and performance of a company in the areas of human rights, forced labor and human trafficking.| |**AntiCorruptionAntiBribery**| This additional indicator includes data related to company violations of anti-corruption and anti-bribery laws, and resulting fines.| . if omitted defaults to ["ALL"] # noqa: E501 Keyword Args: value ([str]): The indicators are the Principal Adverse Impact (PAI) metrics which consists of General, Mandatory and Additional indicators which supports the SFDR reporting. The data can also be requested for individual sub topic codes in addition to the indicators mentioned below - |**SFDR PAI Indicators**|**Description**| |---|---| |**MandatoryIndicators**| Mandatory indicators are the indicators which must be reported under the EU Sustainable Finance Disclosure Regulation (SFDR).| |**AdditionalIndicators**| These are additional environmental and social indicators as mentioned in additional tables as provided in the Annex 1 table in the SFDR RTS report.| |**GHGEmissions**| This mandatory indicator includes metrics related to greenhouse emissions such as - Scope 1, 2, and 3 emissions, footprint and intensity and energy consumption from non-renewable and high climate sectors.| |**Biodiversity**| This mandatory indicator includes metrics pertaining to biodiversity and a company's impacts on biodiversity-sensitive areas.| |**Water**| This mandatory indicator includes data relating to emissions to water as made by the companies.| |**Waste**| This mandatory indicator includes data relating to hazardous waste as generated by the companies.| |**SocialEmployeeMatters**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**Emissions**| This additional indicator includes metrics related to air pollutants, inorganic pollutants and ozone depleting substance. | |**EnergyPerformance**| This additional indicator includes metrics related to various sources of non-renewable energy as used by the companies. | |**WaterWasteMaterialEmissions**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**AdditionalEmployeeMatters**| This additional indicator includes metrics related to workplace discrimination and safety, whistleblower mechanism and supplier code of conduct.| |**HumanRights**| This additional indicator includes metrics related to both policies and performance of a company in the areas of human rights, forced labor and human trafficking.| |**AntiCorruptionAntiBribery**| This additional indicator includes data related to company violations of anti-corruption and anti-bribery laws, and resulting fines.| . if omitted defaults to ["ALL"] # noqa: E501 _check_type (bool): if True, values for parameters in openapi_types will be type checked and a TypeError will be raised if the wrong type is input. Defaults to True _path_to_item (tuple/list): This is a list of keys or values to drill down to the model in received_data when deserializing a response _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _configuration (Configuration): the instance to use when deserializing a file_type parameter. If passed, type conversion is attempted If omitted no type conversion is done. _visited_composed_classes (tuple): This stores a tuple of classes that we have traveled through so that if we see that class again we will not use its discriminator again. When traveling through a discriminator, the composed schema that is is traveled through is added to this set. For example if Animal has a discriminator petType and we pass in "Dog", and the class Dog allOf includes Animal, we move through Animal once using the discriminator, and pick Dog. Then in Dog, we will make an instance of the Animal class but this time we won't travel through its discriminator because we passed in _visited_composed_classes = (Animal,) """ # required up here when default value is not given _path_to_item = kwargs.pop('_path_to_item', ()) if 'value' in kwargs: value = kwargs.pop('value') elif args: args = list(args) value = args.pop(0) else: value = ["ALL"] _check_type = kwargs.pop('_check_type', True) _spec_property_naming = kwargs.pop('_spec_property_naming', False) _configuration = kwargs.pop('_configuration', None) _visited_composed_classes = kwargs.pop('_visited_composed_classes', ()) if args: raise ApiTypeError( "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % ( args, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) self._data_store = {} self._check_type = _check_type self._spec_property_naming = _spec_property_naming self._path_to_item = _path_to_item self._configuration = _configuration self._visited_composed_classes = _visited_composed_classes + (self.__class__,) self.value = value if kwargs: raise ApiTypeError( "Invalid named arguments=%s passed to %s. Remove those invalid named arguments." % ( kwargs, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) @classmethod @convert_js_args_to_python_args def _from_openapi_data(cls, *args, **kwargs): """Indicators - a model defined in OpenAPI Note that value can be passed either in args or in kwargs, but not in both. Args: args[0] ([str]): The indicators are the Principal Adverse Impact (PAI) metrics which consists of General, Mandatory and Additional indicators which supports the SFDR reporting. The data can also be requested for individual sub topic codes in addition to the indicators mentioned below - |**SFDR PAI Indicators**|**Description**| |---|---| |**MandatoryIndicators**| Mandatory indicators are the indicators which must be reported under the EU Sustainable Finance Disclosure Regulation (SFDR).| |**AdditionalIndicators**| These are additional environmental and social indicators as mentioned in additional tables as provided in the Annex 1 table in the SFDR RTS report.| |**GHGEmissions**| This mandatory indicator includes metrics related to greenhouse emissions such as - Scope 1, 2, and 3 emissions, footprint and intensity and energy consumption from non-renewable and high climate sectors.| |**Biodiversity**| This mandatory indicator includes metrics pertaining to biodiversity and a company's impacts on biodiversity-sensitive areas.| |**Water**| This mandatory indicator includes data relating to emissions to water as made by the companies.| |**Waste**| This mandatory indicator includes data relating to hazardous waste as generated by the companies.| |**SocialEmployeeMatters**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**Emissions**| This additional indicator includes metrics related to air pollutants, inorganic pollutants and ozone depleting substance. | |**EnergyPerformance**| This additional indicator includes metrics related to various sources of non-renewable energy as used by the companies. | |**WaterWasteMaterialEmissions**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**AdditionalEmployeeMatters**| This additional indicator includes metrics related to workplace discrimination and safety, whistleblower mechanism and supplier code of conduct.| |**HumanRights**| This additional indicator includes metrics related to both policies and performance of a company in the areas of human rights, forced labor and human trafficking.| |**AntiCorruptionAntiBribery**| This additional indicator includes data related to company violations of anti-corruption and anti-bribery laws, and resulting fines.| . if omitted defaults to ["ALL"] # noqa: E501 Keyword Args: value ([str]): The indicators are the Principal Adverse Impact (PAI) metrics which consists of General, Mandatory and Additional indicators which supports the SFDR reporting. The data can also be requested for individual sub topic codes in addition to the indicators mentioned below - |**SFDR PAI Indicators**|**Description**| |---|---| |**MandatoryIndicators**| Mandatory indicators are the indicators which must be reported under the EU Sustainable Finance Disclosure Regulation (SFDR).| |**AdditionalIndicators**| These are additional environmental and social indicators as mentioned in additional tables as provided in the Annex 1 table in the SFDR RTS report.| |**GHGEmissions**| This mandatory indicator includes metrics related to greenhouse emissions such as - Scope 1, 2, and 3 emissions, footprint and intensity and energy consumption from non-renewable and high climate sectors.| |**Biodiversity**| This mandatory indicator includes metrics pertaining to biodiversity and a company's impacts on biodiversity-sensitive areas.| |**Water**| This mandatory indicator includes data relating to emissions to water as made by the companies.| |**Waste**| This mandatory indicator includes data relating to hazardous waste as generated by the companies.| |**SocialEmployeeMatters**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**Emissions**| This additional indicator includes metrics related to air pollutants, inorganic pollutants and ozone depleting substance. | |**EnergyPerformance**| This additional indicator includes metrics related to various sources of non-renewable energy as used by the companies. | |**WaterWasteMaterialEmissions**| This mandatory indicator includes employee-related metrics like gender diversity, pay gap and social-related metrics like violation of UNGC/OECD principles and exposure to controversial weapons.| |**AdditionalEmployeeMatters**| This additional indicator includes metrics related to workplace discrimination and safety, whistleblower mechanism and supplier code of conduct.| |**HumanRights**| This additional indicator includes metrics related to both policies and performance of a company in the areas of human rights, forced labor and human trafficking.| |**AntiCorruptionAntiBribery**| This additional indicator includes data related to company violations of anti-corruption and anti-bribery laws, and resulting fines.| . if omitted defaults to ["ALL"] # noqa: E501 _check_type (bool): if True, values for parameters in openapi_types will be type checked and a TypeError will be raised if the wrong type is input. Defaults to True _path_to_item (tuple/list): This is a list of keys or values to drill down to the model in received_data when deserializing a response _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _configuration (Configuration): the instance to use when deserializing a file_type parameter. If passed, type conversion is attempted If omitted no type conversion is done. _visited_composed_classes (tuple): This stores a tuple of classes that we have traveled through so that if we see that class again we will not use its discriminator again. When traveling through a discriminator, the composed schema that is is traveled through is added to this set. For example if Animal has a discriminator petType and we pass in "Dog", and the class Dog allOf includes Animal, we move through Animal once using the discriminator, and pick Dog. Then in Dog, we will make an instance of the Animal class but this time we won't travel through its discriminator because we passed in _visited_composed_classes = (Animal,) """ # required up here when default value is not given _path_to_item = kwargs.pop('_path_to_item', ()) self = super(OpenApiModel, cls).__new__(cls) if 'value' in kwargs: value = kwargs.pop('value') elif args: args = list(args) value = args.pop(0) else: value = ["ALL"] _check_type = kwargs.pop('_check_type', True) _spec_property_naming = kwargs.pop('_spec_property_naming', False) _configuration = kwargs.pop('_configuration', None) _visited_composed_classes = kwargs.pop('_visited_composed_classes', ()) if args: raise ApiTypeError( "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % ( args, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) self._data_store = {} self._check_type = _check_type self._spec_property_naming = _spec_property_naming self._path_to_item = _path_to_item self._configuration = _configuration self._visited_composed_classes = _visited_composed_classes + (self.__class__,) self.value = value if kwargs: raise ApiTypeError( "Invalid named arguments=%s passed to %s. Remove those invalid named arguments." % ( kwargs, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) return self

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null

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7

3c1b2e3e48580a79f768ff8e7dc5d8e36a115b35

561

py

Python

Code/Plot_Result.py

AIReproducibility2018/GeneralizedCorrentropyForRobustAdaptiveFiltering

9b37657d93f3c746975a682ada83b26e70dc6396

[ "BSD-3-Clause" ]

3

2019-06-29T01:05:57.000Z

2022-03-26T08:03:10.000Z

Code/Plot_Result.py

AIReproducibility2018/GeneralizedCorrentropyForRobustAdaptiveFiltering

9b37657d93f3c746975a682ada83b26e70dc6396

[ "BSD-3-Clause" ]

null

Code/Plot_Result.py

AIReproducibility2018/GeneralizedCorrentropyForRobustAdaptiveFiltering

9b37657d93f3c746975a682ada83b26e70dc6396

[ "BSD-3-Clause" ]

null

import matplotlib.pyplot as plt def plot(x_values, y_values, labels, x_label, y_label, title): for i in range(len(x_values)): plt.plot(x_values[i], y_values[i], label=labels[i]) plt.title(title) plt.ylabel(y_label) plt.xlabel(x_label) plt.legend() plt.show() def logplot(x_values, y_values, labels, x_label, y_label, title): for i in range(len(x_values)): plt.semilogy(x_values[i], y_values[i], label=labels[i]) plt.title(title) plt.ylabel(y_label) plt.xlabel(x_label) plt.legend() plt.show()

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25.5

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1

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null

0

7

3c6ad318ea6728c805cf77d0663e85700762a347

4,844

py

Python

tests/routes/test_api_leaseProbs.py

Biosystems-Analytics-Lab/shellcast

8d578bfa3d66d75502f1a133fe6263d376694247

[ "CC-BY-4.0" ]

5

2021-03-24T19:19:48.000Z

2022-01-11T09:27:13.000Z

tests/routes/test_api_leaseProbs.py

Biosystems-Analytics-Lab/shellcast

8d578bfa3d66d75502f1a133fe6263d376694247

[ "CC-BY-4.0" ]

1

2022-01-13T15:11:09.000Z

2022-01-13T21:16:10.000Z

tests/routes/test_api_leaseProbs.py

Biosystems-Analytics-Lab/shellcast

8d578bfa3d66d75502f1a133fe6263d376694247

[ "CC-BY-4.0" ]

null

import pytest from models.User import User from models.UserLease import UserLease from models.CMUProbability import CMUProbability from firebase_admin import auth def test_valid(client, dbSession, addMockFbUser): # add a mock Firebase user addMockFbUser(dict(uid='3sH9so5Y3DP72QA1XqbWw9J6I8o1', email='blah@gmail.com', phone_number='11234567890'), 'validUser1') # add the user to the db user = User(firebase_uid='3sH9so5Y3DP72QA1XqbWw9J6I8o1', email='blah@gmail.com', phone_number='11234567890') dbSession.add(user) dbSession.commit() # add some leases to the database leases = [ UserLease(user_id=user.id, ncdmf_lease_id='45678', grow_area_name='A01', cmu_name='U001', rainfall_thresh_in=1.5, geometry=(34.404497, -77.567573)), UserLease(user_id=user.id, ncdmf_lease_id='12345', grow_area_name='B02', cmu_name='U002', rainfall_thresh_in=2.5, geometry=(35.207332, -76.523872)), UserLease(user_id=user.id, ncdmf_lease_id='82945', grow_area_name='C01', cmu_name='U003', rainfall_thresh_in=1.5, geometry=(36.164344, -75.927864)) ] dbSession.add_all(leases) dbSession.commit() # add some closure probabilities to the database probabilities = [ CMUProbability(cmu_name='U001', prob_1d_perc=60, prob_2d_perc=70, prob_3d_perc=80), CMUProbability(cmu_name='U002', prob_1d_perc=45, prob_2d_perc=54, prob_3d_perc=57), CMUProbability(cmu_name='U003', prob_1d_perc=32, prob_2d_perc=33, prob_3d_perc=69) ] dbSession.add_all(probabilities) dbSession.commit() res = client.get('/leaseProbs', headers={'Authorization': 'validUser1'}) assert res.status_code == 200 json = res.get_json() assert len(json) == 3 assert json[0]['prob_1d_perc'] == 60 assert json[0]['prob_2d_perc'] == 70 assert json[0]['prob_3d_perc'] == 80 assert json[0]['ncdmf_lease_id'] == '45678' assert json[0]['geometry'] == [34.404497, -77.567573] assert json[1]['prob_1d_perc'] == 45 assert json[1]['prob_2d_perc'] == 54 assert json[1]['prob_3d_perc'] == 57 assert json[1]['ncdmf_lease_id'] == '12345' assert json[1]['geometry'] == [35.207332, -76.523872] assert json[2]['prob_1d_perc'] == 32 assert json[2]['prob_2d_perc'] == 33 assert json[2]['prob_3d_perc'] == 69 assert json[2]['ncdmf_lease_id'] == '82945' assert json[2]['geometry'] == [36.164344, -75.927864] def test_no_probabilities(client, dbSession, addMockFbUser): # add a mock Firebase user addMockFbUser(dict(uid='3sH9so5Y3DP72QA1XqbWw9J6I8o1', email='blah@gmail.com', phone_number='11234567890'), 'validUser1') # add the user to the db user = User(firebase_uid='3sH9so5Y3DP72QA1XqbWw9J6I8o1', email='blah@gmail.com', phone_number='11234567890') dbSession.add(user) dbSession.commit() # add some leases to the database leases = [ UserLease(user_id=user.id, ncdmf_lease_id='45678', grow_area_name='A01', cmu_name='U001', rainfall_thresh_in=1.5, geometry=(34.404497, -77.567573)), UserLease(user_id=user.id, ncdmf_lease_id='12345', grow_area_name='B02', cmu_name='U002', rainfall_thresh_in=2.5, geometry=(35.207332, -76.523872)), UserLease(user_id=user.id, ncdmf_lease_id='82945', grow_area_name='C01', cmu_name='U003', rainfall_thresh_in=1.5, geometry=(36.164344, -75.927864)) ] dbSession.add_all(leases) dbSession.commit() lease1Prob = CMUProbability(cmu_name='U002', prob_1d_perc=45, prob_2d_perc=54, prob_3d_perc=57) dbSession.add(lease1Prob) dbSession.commit() res = client.get('/leaseProbs', headers={'Authorization': 'validUser1'}) assert res.status_code == 200 json = res.get_json() assert len(json) == 3 assert json[0].get('prob_1d_perc') == None assert json[0].get('prob_2d_perc') == None assert json[0].get('prob_3d_perc') == None assert json[0]['ncdmf_lease_id'] == '45678' assert json[0]['geometry'] == [34.404497, -77.567573] assert json[1].get('prob_1d_perc') == 45 assert json[1].get('prob_2d_perc') == 54 assert json[1].get('prob_3d_perc') == 57 assert json[1]['ncdmf_lease_id'] == '12345' assert json[1]['geometry'] == [35.207332, -76.523872] assert json[2].get('prob_1d_perc') == None assert json[2].get('prob_2d_perc') == None assert json[2].get('prob_3d_perc') == None assert json[2]['ncdmf_lease_id'] == '82945' assert json[2]['geometry'] == [36.164344, -75.927864] def test_no_leases(client, dbSession, addMockFbUser): # add a mock Firebase user addMockFbUser(dict(uid='3sH9so5Y3DP72QA1XqbWw9J6I8o1', email='blah@gmail.com', phone_number='11234567890'), 'validUser1') # add the user to the db user = User(firebase_uid='3sH9so5Y3DP72QA1XqbWw9J6I8o1', email='blah@gmail.com', phone_number='11234567890') dbSession.add(user) dbSession.commit() res = client.get('/leaseProbs', headers={'Authorization': 'validUser1'}) assert res.status_code == 200 json = res.get_json() assert len(json) == 0

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null

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0

null

0

1

0

7

5942d938092654b394b08d0254e27d1389c9fea2

14,314

py

Python

hrank/mask.py

lehduong/NPTM

e1b8ec333db35e0e32e360151956b0f48f102735

[ "MIT" ]

15

2021-09-20T09:39:52.000Z

2022-03-31T05:39:39.000Z

hrank/mask.py

lehduong/NPTM

e1b8ec333db35e0e32e360151956b0f48f102735

[ "MIT" ]

null

hrank/mask.py

lehduong/NPTM

e1b8ec333db35e0e32e360151956b0f48f102735

[ "MIT" ]

null

import torch import numpy as np import pickle class mask_vgg_16_bn: def __init__(self, model=None, compress_rate=[0.50], job_dir='', device=None): self.model = model self.compress_rate = compress_rate self.mask = {} self.job_dir = job_dir self.device = device def layer_mask(self, cov_id, resume=None, param_per_cov=4, arch="vgg_16_bn", random_rank=False): params = self.model.parameters() prefix = "rank_conv/"+arch+"/rank_conv" subfix = ".npy" if resume: with open(resume, 'rb') as f: self.mask = pickle.load(f) else: resume = self.job_dir+'/mask' self.param_per_cov = param_per_cov for index, item in enumerate(params): if index == cov_id * param_per_cov: break if index == (cov_id - 1) * param_per_cov: f, c, w, h = item.size() rank = np.load(prefix + str(cov_id) + subfix) if random_rank: rank = np.random.random_sample(rank.shape) pruned_num = int(self.compress_rate[cov_id - 1] * f) ind = np.argsort(rank)[pruned_num:] # preserved filter id zeros = torch.zeros(f, 1, 1, 1).to(self.device) for i in range(len(ind)): zeros[ind[i], 0, 0, 0] = 1. self.mask[index] = zeros # covolutional weight item.data = item.data * self.mask[index] if index > (cov_id - 1) * param_per_cov and index <= (cov_id - 1) * param_per_cov + param_per_cov-1: self.mask[index] = torch.squeeze(zeros) item.data = item.data * self.mask[index] with open(resume, "wb") as f: pickle.dump(self.mask, f) def grad_mask(self, cov_id): params = self.model.parameters() for index, item in enumerate(params): if index == cov_id * self.param_per_cov: break item.data = item.data * self.mask[index] # prune certain weight class mask_resnet_56: def __init__(self, model=None, compress_rate=[0.50], job_dir='', device=None): self.model = model self.compress_rate = compress_rate self.mask = {} self.job_dir = job_dir self.device = device def layer_mask(self, cov_id, resume=None, param_per_cov=3, arch="resnet_56", random_rank=False): params = self.model.parameters() prefix = "rank_conv/"+arch+"/rank_conv" subfix = ".npy" if resume: with open(resume, 'rb') as f: self.mask = pickle.load(f) else: resume = self.job_dir+'/mask' self.param_per_cov = param_per_cov for index, item in enumerate(params): if index == cov_id*param_per_cov: break if index == (cov_id - 1) * param_per_cov: f, c, w, h = item.size() rank = np.load(prefix + str(cov_id) + subfix) if random_rank: rank = np.random.random_sample(rank.shape) pruned_num = int(self.compress_rate[cov_id - 1] * f) ind = np.argsort(rank)[pruned_num:] # preserved filter id zeros = torch.zeros(f, 1, 1, 1).to(self.device) for i in range(len(ind)): zeros[ind[i], 0, 0, 0] = 1. self.mask[index] = zeros # covolutional weight item.data = item.data * self.mask[index] elif index > (cov_id-1)*param_per_cov and index < cov_id*param_per_cov: self.mask[index] = torch.squeeze(zeros) item.data = item.data * self.mask[index].to(self.device) with open(resume, "wb") as f: pickle.dump(self.mask, f) def grad_mask(self, cov_id): params = self.model.parameters() for index, item in enumerate(params): if index == cov_id*self.param_per_cov: break # prune certain weight item.data = item.data * self.mask[index].to(self.device) class mask_densenet_40: def __init__(self, model=None, compress_rate=[0.50], job_dir='', device=None): self.model = model self.compress_rate = compress_rate self.job_dir = job_dir self.device = device self.mask = {} def layer_mask(self, cov_id, resume=None, param_per_cov=3, arch="densenet_40", random_rank=False): params = self.model.parameters() prefix = "rank_conv/"+arch+"/rank_conv" subfix = ".npy" if resume: with open(resume, 'rb') as f: self.mask = pickle.load(f) else: resume = self.job_dir+'/mask' self.param_per_cov = param_per_cov for index, item in enumerate(params): if index == cov_id * param_per_cov: break if index == (cov_id - 1) * param_per_cov: f, c, w, h = item.size() rank = np.load(prefix + str(cov_id) + subfix) if random_rank: rank = np.random.random_sample(rank.shape) pruned_num = int(self.compress_rate[cov_id - 1] * f) ind = np.argsort(rank)[pruned_num:] # preserved filter id zeros = torch.zeros(f, 1, 1, 1).to(self.device) for i in range(len(ind)): zeros[ind[i], 0, 0, 0] = 1. self.mask[index] = zeros # covolutional weight item.data = item.data * self.mask[index] # prune BN's parameter if index > (cov_id - 1) * param_per_cov and index <= (cov_id - 1) * param_per_cov + param_per_cov-1: # if this BN not belong to 1st conv or transition conv --> add pre-BN mask to this mask if cov_id >= 2 and cov_id != 14 and cov_id != 27: self.mask[index] = torch.cat( [self.mask[index-param_per_cov], torch.squeeze(zeros)], 0).to(self.device) else: self.mask[index] = torch.squeeze(zeros).to(self.device) item.data = item.data * self.mask[index] with open(resume, "wb") as f: pickle.dump(self.mask, f) def grad_mask(self, cov_id): params = self.model.parameters() for index, item in enumerate(params): if index == cov_id * self.param_per_cov: break item.data = item.data * self.mask[index].to(self.device) class mask_googlenet: def __init__(self, model=None, compress_rate=[0.50], job_dir='', device=None): self.model = model self.compress_rate = compress_rate self.mask = {} self.job_dir = job_dir self.device = device def layer_mask(self, cov_id, resume=None, param_per_cov=28, arch="googlenet", random_rank=False): params = self.model.parameters() prefix = "rank_conv/"+arch+"/rank_conv" subfix = ".npy" if resume: with open(resume, 'rb') as f: self.mask = pickle.load(f) else: resume = self.job_dir+'/mask' self.param_per_cov = param_per_cov for index, item in enumerate(params): if index == (cov_id-1) * param_per_cov + 4: break if (cov_id == 1 and index == 0)\ or index == (cov_id - 1) * param_per_cov - 24 \ or index == (cov_id - 1) * param_per_cov - 16 \ or index == (cov_id - 1) * param_per_cov - 8 \ or index == (cov_id - 1) * param_per_cov - 4 \ or index == (cov_id - 1) * param_per_cov: if index == (cov_id - 1) * param_per_cov - 24: rank = np.load(prefix + str(cov_id)+'_'+'n1x1' + subfix) elif index == (cov_id - 1) * param_per_cov - 16: rank = np.load(prefix + str(cov_id)+'_'+'n3x3' + subfix) elif index == (cov_id - 1) * param_per_cov - 8 \ or index == (cov_id - 1) * param_per_cov - 4: rank = np.load(prefix + str(cov_id)+'_'+'n5x5' + subfix) elif cov_id == 1 and index == 0: rank = np.load(prefix + str(cov_id) + subfix) else: rank = np.load(prefix + str(cov_id) + '_' + 'pool_planes' + subfix) if random_rank: rank = np.random.random_sample(rank.shape) f, c, w, h = item.size() pruned_num = int(self.compress_rate[cov_id - 1] * f) ind = np.argsort(rank)[pruned_num:] # preserved filter id zeros = torch.zeros(f, 1, 1, 1).to(self.device) for i in range(len(ind)): zeros[ind[i], 0, 0, 0] = 1. self.mask[index] = zeros # covolutional weight item.data = item.data * self.mask[index] elif cov_id == 1 and index > 0 and index <= 3: self.mask[index] = torch.squeeze(zeros) item.data = item.data * self.mask[index] elif (index >= (cov_id - 1) * param_per_cov - 20 and index < (cov_id - 1) * param_per_cov - 16) \ or (index >= (cov_id - 1) * param_per_cov - 12 and index < (cov_id - 1) * param_per_cov - 8): continue elif index > (cov_id-1)*param_per_cov-24 and index < (cov_id-1)*param_per_cov+4: self.mask[index] = torch.squeeze(zeros) item.data = item.data * self.mask[index] with open(resume, "wb") as f: pickle.dump(self.mask, f) def grad_mask(self, cov_id): params = self.model.parameters() for index, item in enumerate(params): if index == (cov_id-1) * self.param_per_cov + 4: break if index not in self.mask: continue # prune certain weight item.data = item.data * self.mask[index].to(self.device) class mask_resnet_110: def __init__(self, model=None, compress_rate=[0.50], job_dir='', device=None): self.model = model self.compress_rate = compress_rate self.mask = {} self.job_dir = job_dir self.device = device def layer_mask(self, cov_id, resume=None, param_per_cov=3, arch="resnet_110_convwise", random_rank=False): params = self.model.parameters() prefix = "rank_conv/"+arch+"/rank_conv" subfix = ".npy" if resume: with open(resume, 'rb') as f: self.mask = pickle.load(f) else: resume = self.job_dir+'/mask' self.param_per_cov = param_per_cov for index, item in enumerate(params): if index == cov_id*param_per_cov: break if index == (cov_id - 1) * param_per_cov: f, c, w, h = item.size() rank = np.load(prefix + str(cov_id) + subfix) if random_rank: rank = np.random.random_sample(rank.shape) pruned_num = int(self.compress_rate[cov_id - 1] * f) ind = np.argsort(rank)[pruned_num:] # preserved filter id zeros = torch.zeros(f, 1, 1, 1).to(self.device) for i in range(len(ind)): zeros[ind[i], 0, 0, 0] = 1. self.mask[index] = zeros # covolutional weight item.data = item.data * self.mask[index] elif index > (cov_id-1)*param_per_cov and index < cov_id*param_per_cov: self.mask[index] = torch.squeeze(zeros) item.data = item.data * self.mask[index] with open(resume, "wb") as f: pickle.dump(self.mask, f) def grad_mask(self, cov_id): params = self.model.parameters() for index, item in enumerate(params): if index == cov_id*self.param_per_cov: break # prune certain weight item.data = item.data * self.mask[index].to(self.device) class mask_resnet_50: def __init__(self, model=None, compress_rate=[0.50], job_dir='', device=None): self.model = model self.compress_rate = compress_rate self.mask = {} self.job_dir = job_dir self.device = device def layer_mask(self, cov_id, resume=None, param_per_cov=3, arch="resnet_50_convwise", random_rank=False): params = self.model.parameters() prefix = "rank_conv/"+arch+"/rank_conv" subfix = ".npy" if resume: with open(resume, 'rb') as f: self.mask = pickle.load(f) else: resume = self.job_dir+'/mask' self.param_per_cov = param_per_cov for index, item in enumerate(params): if index == cov_id * param_per_cov: break if index == (cov_id-1) * param_per_cov: f, c, w, h = item.size() rank = np.load(prefix + str(cov_id) + subfix) if random_rank: rank = np.random.random_sample(rank.shape) pruned_num = int(self.compress_rate[cov_id - 1] * f) ind = np.argsort(rank)[pruned_num:] # preserved filter id # .cuda(self.device[0])#.to(self.device) zeros = torch.zeros(f, 1, 1, 1).to(self.device) for i in range(len(ind)): zeros[ind[i], 0, 0, 0] = 1. self.mask[index] = zeros # covolutional weight item.data = item.data * self.mask[index] elif index > (cov_id-1) * param_per_cov and index < cov_id * param_per_cov: self.mask[index] = torch.squeeze(zeros) item.data = item.data * self.mask[index] with open(resume, "wb") as f: pickle.dump(self.mask, f) def grad_mask(self, cov_id): params = self.model.parameters() for index, item in enumerate(params): if index == cov_id * self.param_per_cov: break item.data = item.data * self.mask[index] # prune certain weight

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0.908427

0.875654

0.869871

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0.351334

14,314

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false

0

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0

null

0

1

0

1

0

null

0

7

a705e76bec8630fcae1fcb739d0fe3529397c743

2,199

py

Python

kektrade/misc.py

flamingrickpat/kektrade

7bf5e0607605852c5f0c9116134ad61e2fd572d7

[ "MIT" ]

null

kektrade/misc.py

flamingrickpat/kektrade

7bf5e0607605852c5f0c9116134ad61e2fd572d7

[ "MIT" ]

null

kektrade/misc.py

flamingrickpat/kektrade

7bf5e0607605852c5f0c9116134ad61e2fd572d7

[ "MIT" ]

null

from enum import Enum import numbers class EnumString(Enum): @classmethod def from_str(cls, value): for k, v in cls.__members__.items(): if v.value == value: return v else: raise ValueError(f"'{cls.__name__}' enum not found for '{value}'") def __eq__(self, other): return self.value == other.value def __hash__(self): return hash(self.value) class EnumComparable(Enum): def __hash__(self): return hash(self.value) def __gt__(self, other): try: return self.value > other.value except: pass try: if isinstance(other, numbers.Real): return self.value > other except: pass return NotImplemented def __lt__(self, other): try: return self.value < other.value except: pass try: if isinstance(other, numbers.Real): return self.value < other except: pass return NotImplemented def __ge__(self, other): try: return self.value >= other.value except: pass try: if isinstance(other, numbers.Real): return self.value >= other if isinstance(other, str): return self.name == other except: pass return NotImplemented def __le__(self, other): try: return self.value <= other.value except: pass try: if isinstance(other, numbers.Real): return self.value <= other if isinstance(other, str): return self.name == other except: pass return NotImplemented def __eq__(self, other): try: return self.value == other.value except: pass try: if isinstance(other, numbers.Real): return self.value == other if isinstance(other, str): return self.name == other except: pass return NotImplemented

24.433333

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2,199

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0.153918

0.205224

0.796642

0.773321

0.717351

0

0.415643

2,199

89

79

24.707865

0.834241

0

0.692308

0

0.020482

0

1

0.115385

false

0.128205

0.025641

0.038462

0.448718

0

null

0

1

0

1

0

null

0

1

0

7

597f16fdead7e8e9676635e66f667b1e85860c0c

2,822

py

Python

sage/models.py

saumyaparikh/SageVaccination

3fcddbd42fc1231b9d8bde6a615ab9f4385c00ec

[ "MIT" ]

null

sage/models.py

saumyaparikh/SageVaccination

3fcddbd42fc1231b9d8bde6a615ab9f4385c00ec

[ "MIT" ]

null

sage/models.py

saumyaparikh/SageVaccination

3fcddbd42fc1231b9d8bde6a615ab9f4385c00ec

[ "MIT" ]

2

2021-07-03T15:41:06.000Z

2021-08-06T17:09:05.000Z

from django.db import models # Create your models here. class noti(models.Model): email=models.CharField(max_length=500,default="") date=models.CharField(max_length=500,default="") time=models.CharField(max_length=500,default="") hname=models.CharField(max_length=500,default="") vname=models.CharField(max_length=500,default="") def __str__(self): return self.hname class vmain(models.Model): hname=models.CharField(max_length=500) himage=models.ImageField(upload_to="byimgs",default="") haddr=models.CharField(max_length=500, default="") hphone = models.CharField(max_length=100, default="") hmap= hlink=models.CharField(max_length=500, default="") hlink=models.CharField(max_length=500, default="") hcordinate=models.CharField(max_length=50,default="") hdis = models.FloatField(null=True, blank=True) htiming=models.CharField(max_length=100, default="") hclosed=models.CharField(max_length=50, default="") city=models.CharField(max_length=40) # hname=models.CharField(max_length=40) vname=models.CharField(max_length=69) nov = models.FloatField(null=True, blank=True, default = "") vprice = models.FloatField(null=True, blank=True, default = "") def __str__(self): return self.hname class vaccinename(models.Model): srno = models.FloatField(null=True, blank=True, default = "") vyear1=models.CharField(max_length=40) vname=models.CharField(max_length=69) def __str__(self): return self.vname class bhyhospital(models.Model): hname=models.CharField(max_length=40) himage=models.ImageField(upload_to="byimgs",default="") haddr=models.CharField(max_length=100, default="") hphone = models.CharField(max_length=100, default="") hmap= hlink=models.CharField(max_length=50, default="") hlink=models.CharField(max_length=50, default="") hcordinate=models.CharField(max_length=50,default="") hdis = models.FloatField(null=True, blank=True) htiming=models.CharField(max_length=100, default="") hclosed=models.CharField(max_length=50, default="") def __str__(self): return self.hname class vasaihospital(models.Model): hname = models.CharField(max_length=40) himage = models.ImageField(upload_to="byimgs", default="") haddr = models.CharField(max_length=100, default="") hphone = models.CharField(max_length=100, default="") hmap = hlink = models.CharField(max_length=50, default="") hcordinate = models.CharField(max_length=50, default="") hdis=models.FloatField(null=True, blank=True) hlink = models.CharField(max_length=50, default="") htiming = models.CharField(max_length=100, default="") hclosed = models.CharField(max_length=50, default="") def __str__(self): return self.hname

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2,822

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39.194444

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0

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8

59ea606241a89f144866349a2cb865cf58dbc434

13,562

py

Python

gesture_box.py

kiok46/Weather

9002bccc885844576a242913c99b0f0d5c1dbb3d

[ "MIT" ]

null

gesture_box.py

kiok46/Weather

9002bccc885844576a242913c99b0f0d5c1dbb3d

[ "MIT" ]

null

gesture_box.py

kiok46/Weather

9002bccc885844576a242913c99b0f0d5c1dbb3d

[ "MIT" ]

null

from kivy.gesture import GestureDatabase from kivy.uix.boxlayout import BoxLayout from kivy.gesture import Gesture from kivy.app import platform if platform in ('android', 'ios') : from plyer import orientation from kivy.graphics import Color, Ellipse, Line from random import random gesture_strings = { 'W': 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'C': 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'S': 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'P': 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} gestures = GestureDatabase() for name, gesture_string in gesture_strings.items(): gesture = gestures.str_to_gesture(gesture_string) gesture.name = name gestures.add_gesture(gesture) class GestureBox(BoxLayout): def __init__(self, **kwargs): for name in gesture_strings: self.register_event_type('on_{}'.format(name)) super(GestureBox, self).__init__(**kwargs) def on_W(self): pass def on_C(self): pass def on_S(self): pass def on_P(self): pass def on_Refresh(self): pass def on_touch_down(self, touch): #create an user defined variable and add the touch coordinates touch.ud['gesture_path'] = [(touch.x, touch.y)] super(GestureBox, self).on_touch_down(touch) if platform == "android": orientation.set_sensor(mode='any') def on_touch_move(self, touch): try: touch.ud['gesture_path'].append((touch.x, touch.y)) super(GestureBox, self).on_touch_move(touch) except: pass def on_touch_up(self, touch): try: touch.ud['line'].points = [] except: pass if 'gesture_path' in touch.ud: #create a gesture object gesture = Gesture() #add the movement coordinates gesture.add_stroke(touch.ud['gesture_path']) #normalize so thwu willtolerate size variations gesture.normalize() #minscore to be attained for a match to be true match = gestures.find(gesture, minscore=0.8) if match: print("{} happened".format(match[1].name)) self.dispatch('on_{}'.format(match[1].name)) super(GestureBox, self).on_touch_up(touch)

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abac2d2d73818d9cfc8d479a65ae5d398611ebd2

105

py

Python

ltr/models/locator/__init__.py

CASIA-IVA-Lab/DCFST

ca881ba3aae1ce00e4a7a6db01d99e5f6efff68b

[ "Apache-2.0" ]

22

2020-07-22T13:58:36.000Z

2021-12-01T01:48:44.000Z

ltr/models/locator/__init__.py

CASIA-IVA-Lab/DCFST

ca881ba3aae1ce00e4a7a6db01d99e5f6efff68b

[ "Apache-2.0" ]

3

2020-08-03T02:23:47.000Z

2021-04-09T01:21:58.000Z

ltr/models/locator/__init__.py

CASIA-IVA-Lab/DCFST

ca881ba3aae1ce00e4a7a6db01d99e5f6efff68b

[ "Apache-2.0" ]

4

2020-09-26T00:01:51.000Z

2021-08-05T09:58:30.000Z

from .onlineRR18 import OnlineRRNet as OnlineRRNet18 from .onlineRR50 import OnlineRRNet as OnlineRRNet50

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py

Python

Framework/LanguageSupport/thrift/gen-py/MMIStandard/services/MCollisionDetectionService.py

FG-92/MOSIM_Core

abc32fd0d2213859b11b6d41193d5d7f760e4104

[ "MIT" ]

19

2020-11-30T09:29:11.000Z

2021-12-10T06:10:11.000Z

Framework/LanguageSupport/thrift/gen-py/MMIStandard/services/MCollisionDetectionService.py

FG-92/MOSIM_Core

abc32fd0d2213859b11b6d41193d5d7f760e4104

[ "MIT" ]

null

Framework/LanguageSupport/thrift/gen-py/MMIStandard/services/MCollisionDetectionService.py

FG-92/MOSIM_Core

abc32fd0d2213859b11b6d41193d5d7f760e4104

[ "MIT" ]

6

2021-01-20T01:46:37.000Z

2021-09-28T10:22:14.000Z

# # Autogenerated by Thrift Compiler (0.13.0) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py # from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException from thrift.protocol.TProtocol import TProtocolException from thrift.TRecursive import fix_spec import sys import MMIStandard.services.MMIServiceBase import logging from .ttypes import * from thrift.Thrift import TProcessor from thrift.transport import TTransport all_structs = [] class Iface(MMIStandard.services.MMIServiceBase.Iface): def ComputePenetration(self, colliderA, transformA, colliderB, transformB): """ Parameters: - colliderA - transformA - colliderB - transformB """ pass def CausesCollision(self, colliderA, transformA, colliderB, transformB): """ Parameters: - colliderA - transformA - colliderB - transformB """ pass class Client(MMIStandard.services.MMIServiceBase.Client, Iface): def __init__(self, iprot, oprot=None): MMIStandard.services.MMIServiceBase.Client.__init__(self, iprot, oprot) def ComputePenetration(self, colliderA, transformA, colliderB, transformB): """ Parameters: - colliderA - transformA - colliderB - transformB """ self.send_ComputePenetration(colliderA, transformA, colliderB, transformB) return self.recv_ComputePenetration() def send_ComputePenetration(self, colliderA, transformA, colliderB, transformB): self._oprot.writeMessageBegin('ComputePenetration', TMessageType.CALL, self._seqid) args = ComputePenetration_args() args.colliderA = colliderA args.transformA = transformA args.colliderB = colliderB args.transformB = transformB args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_ComputePenetration(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = ComputePenetration_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "ComputePenetration failed: unknown result") def CausesCollision(self, colliderA, transformA, colliderB, transformB): """ Parameters: - colliderA - transformA - colliderB - transformB """ self.send_CausesCollision(colliderA, transformA, colliderB, transformB) return self.recv_CausesCollision() def send_CausesCollision(self, colliderA, transformA, colliderB, transformB): self._oprot.writeMessageBegin('CausesCollision', TMessageType.CALL, self._seqid) args = CausesCollision_args() args.colliderA = colliderA args.transformA = transformA args.colliderB = colliderB args.transformB = transformB args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_CausesCollision(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = CausesCollision_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "CausesCollision failed: unknown result") class Processor(MMIStandard.services.MMIServiceBase.Processor, Iface, TProcessor): def __init__(self, handler): MMIStandard.services.MMIServiceBase.Processor.__init__(self, handler) self._processMap["ComputePenetration"] = Processor.process_ComputePenetration self._processMap["CausesCollision"] = Processor.process_CausesCollision self._on_message_begin = None def on_message_begin(self, func): self._on_message_begin = func def process(self, iprot, oprot): (name, type, seqid) = iprot.readMessageBegin() if self._on_message_begin: self._on_message_begin(name, type, seqid) if name not in self._processMap: iprot.skip(TType.STRUCT) iprot.readMessageEnd() x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name)) oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid) x.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() return else: self._processMap[name](self, seqid, iprot, oprot) return True def process_ComputePenetration(self, seqid, iprot, oprot): args = ComputePenetration_args() args.read(iprot) iprot.readMessageEnd() result = ComputePenetration_result() try: result.success = self._handler.ComputePenetration(args.colliderA, args.transformA, args.colliderB, args.transformB) msg_type = TMessageType.REPLY except TTransport.TTransportException: raise except TApplicationException as ex: logging.exception('TApplication exception in handler') msg_type = TMessageType.EXCEPTION result = ex except Exception: logging.exception('Unexpected exception in handler') msg_type = TMessageType.EXCEPTION result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("ComputePenetration", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_CausesCollision(self, seqid, iprot, oprot): args = CausesCollision_args() args.read(iprot) iprot.readMessageEnd() result = CausesCollision_result() try: result.success = self._handler.CausesCollision(args.colliderA, args.transformA, args.colliderB, args.transformB) msg_type = TMessageType.REPLY except TTransport.TTransportException: raise except TApplicationException as ex: logging.exception('TApplication exception in handler') msg_type = TMessageType.EXCEPTION result = ex except Exception: logging.exception('Unexpected exception in handler') msg_type = TMessageType.EXCEPTION result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("CausesCollision", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() # HELPER FUNCTIONS AND STRUCTURES class ComputePenetration_args(object): """ Attributes: - colliderA - transformA - colliderB - transformB """ def __init__(self, colliderA=None, transformA=None, colliderB=None, transformB=None,): self.colliderA = colliderA self.transformA = transformA self.colliderB = colliderB self.transformB = transformB def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec]) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.colliderA = MMIStandard.scene.ttypes.MCollider() self.colliderA.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.transformA = MMIStandard.math.ttypes.MTransform() self.transformA.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.colliderB = MMIStandard.scene.ttypes.MCollider() self.colliderB.read(iprot) else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRUCT: self.transformB = MMIStandard.math.ttypes.MTransform() self.transformB.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec])) return oprot.writeStructBegin('ComputePenetration_args') if self.colliderA is not None: oprot.writeFieldBegin('colliderA', TType.STRUCT, 1) self.colliderA.write(oprot) oprot.writeFieldEnd() if self.transformA is not None: oprot.writeFieldBegin('transformA', TType.STRUCT, 2) self.transformA.write(oprot) oprot.writeFieldEnd() if self.colliderB is not None: oprot.writeFieldBegin('colliderB', TType.STRUCT, 3) self.colliderB.write(oprot) oprot.writeFieldEnd() if self.transformB is not None: oprot.writeFieldBegin('transformB', TType.STRUCT, 4) self.transformB.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) all_structs.append(ComputePenetration_args) ComputePenetration_args.thrift_spec = ( None, # 0 (1, TType.STRUCT, 'colliderA', [MMIStandard.scene.ttypes.MCollider, None], None, ), # 1 (2, TType.STRUCT, 'transformA', [MMIStandard.math.ttypes.MTransform, None], None, ), # 2 (3, TType.STRUCT, 'colliderB', [MMIStandard.scene.ttypes.MCollider, None], None, ), # 3 (4, TType.STRUCT, 'transformB', [MMIStandard.math.ttypes.MTransform, None], None, ), # 4 ) class ComputePenetration_result(object): """ Attributes: - success """ def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec]) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.STRUCT: self.success = MMIStandard.math.ttypes.MVector3() self.success.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec])) return oprot.writeStructBegin('ComputePenetration_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) all_structs.append(ComputePenetration_result) ComputePenetration_result.thrift_spec = ( (0, TType.STRUCT, 'success', [MMIStandard.math.ttypes.MVector3, None], None, ), # 0 ) class CausesCollision_args(object): """ Attributes: - colliderA - transformA - colliderB - transformB """ def __init__(self, colliderA=None, transformA=None, colliderB=None, transformB=None,): self.colliderA = colliderA self.transformA = transformA self.colliderB = colliderB self.transformB = transformB def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec]) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRUCT: self.colliderA = MMIStandard.scene.ttypes.MCollider() self.colliderA.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.transformA = MMIStandard.math.ttypes.MTransform() self.transformA.read(iprot) else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRUCT: self.colliderB = MMIStandard.scene.ttypes.MCollider() self.colliderB.read(iprot) else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRUCT: self.transformB = MMIStandard.math.ttypes.MTransform() self.transformB.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec])) return oprot.writeStructBegin('CausesCollision_args') if self.colliderA is not None: oprot.writeFieldBegin('colliderA', TType.STRUCT, 1) self.colliderA.write(oprot) oprot.writeFieldEnd() if self.transformA is not None: oprot.writeFieldBegin('transformA', TType.STRUCT, 2) self.transformA.write(oprot) oprot.writeFieldEnd() if self.colliderB is not None: oprot.writeFieldBegin('colliderB', TType.STRUCT, 3) self.colliderB.write(oprot) oprot.writeFieldEnd() if self.transformB is not None: oprot.writeFieldBegin('transformB', TType.STRUCT, 4) self.transformB.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) all_structs.append(CausesCollision_args) CausesCollision_args.thrift_spec = ( None, # 0 (1, TType.STRUCT, 'colliderA', [MMIStandard.scene.ttypes.MCollider, None], None, ), # 1 (2, TType.STRUCT, 'transformA', [MMIStandard.math.ttypes.MTransform, None], None, ), # 2 (3, TType.STRUCT, 'colliderB', [MMIStandard.scene.ttypes.MCollider, None], None, ), # 3 (4, TType.STRUCT, 'transformB', [MMIStandard.math.ttypes.MTransform, None], None, ), # 4 ) class CausesCollision_result(object): """ Attributes: - success """ def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec]) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.BOOL: self.success = iprot.readBool() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec])) return oprot.writeStructBegin('CausesCollision_result') if self.success is not None: oprot.writeFieldBegin('success', TType.BOOL, 0) oprot.writeBool(self.success) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) all_structs.append(CausesCollision_result) CausesCollision_result.thrift_spec = ( (0, TType.BOOL, 'success', None, None, ), # 0 ) fix_spec(all_structs) del all_structs

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null

0

8

e65107a1bf3ead805017788305bdde56c48ac960

3,576

py

Python

tests/test_mention_maintainer.py

Tecnativa/oca-github-bot

ca2891200c381d10f2625360f1cf9467ad6f14d0

[ "MIT" ]

null

tests/test_mention_maintainer.py

Tecnativa/oca-github-bot

ca2891200c381d10f2625360f1cf9467ad6f14d0

[ "MIT" ]

1

2020-03-31T21:15:24.000Z

tests/test_mention_maintainer.py

Tecnativa/oca-github-bot

ca2891200c381d10f2625360f1cf9467ad6f14d0

[ "MIT" ]

null

# Copyright 2019 Simone Rubino - Agile Business Group # Distributed under the MIT License (http://opensource.org/licenses/MIT). import pytest from oca_github_bot.tasks.mention_maintainer import mention_maintainer from .common import make_addon @pytest.mark.vcr() def test_maintainer_mentioned(git_clone, mocker): github_mock = mocker.patch("oca_github_bot.tasks.mention_maintainer.github") github_mock.temporary_clone.return_value.__enter__.return_value = str(git_clone) addon_name = "addon1" addon_dir = make_addon(git_clone, addon_name, maintainers=["themaintainer"]) modified_addons_mock = mocker.patch( "oca_github_bot.tasks.mention_maintainer.git_modified_addon_dirs" ) modified_addons_mock.return_value = [addon_dir], False mocker.patch("oca_github_bot.tasks.mention_maintainer.check_call") mention_maintainer("org", "repo", "pr") github_mock.gh_call.assert_called_once() assert "@themaintainer" in github_mock.gh_call.mock_calls[0][1][1] @pytest.mark.vcr() def test_multi_maintainer_one_mention(git_clone, mocker): github_mock = mocker.patch("oca_github_bot.tasks.mention_maintainer.github") github_mock.temporary_clone.return_value.__enter__.return_value = str(git_clone) addon_dirs = list() addon_names = ["addon1", "addon2"] themaintainer = "themaintainer" for addon_name in addon_names: addon_dir = make_addon(git_clone, addon_name, maintainers=[themaintainer]) addon_dirs.append(addon_dir) modified_addons_mock = mocker.patch( "oca_github_bot.tasks.mention_maintainer.git_modified_addon_dirs" ) modified_addons_mock.return_value = addon_dirs, False mocker.patch("oca_github_bot.tasks.mention_maintainer.check_call") mention_maintainer("org", "repo", "pr") github_mock.gh_call.assert_called_once() comment = github_mock.gh_call.mock_calls[0][1][1] assert comment.count(themaintainer) == 1 @pytest.mark.vcr() def test_pr_by_maintainer_no_mention(git_clone, mocker): themaintainer = "themaintainer" github_mock = mocker.patch("oca_github_bot.tasks.mention_maintainer.github") github_mock.temporary_clone.return_value.__enter__.return_value = str(git_clone) pr_mock = github_mock.login.return_value.__enter__.return_value.pull_request pr_mock.return_value.user.login = themaintainer addon_dirs = list() addon_names = ["addon1", "addon2"] for addon_name in addon_names: addon_dir = make_addon(git_clone, addon_name, maintainers=[themaintainer]) addon_dirs.append(addon_dir) modified_addons_mock = mocker.patch( "oca_github_bot.tasks.mention_maintainer.git_modified_addon_dirs" ) modified_addons_mock.return_value = addon_dirs, False mocker.patch("oca_github_bot.tasks.mention_maintainer.check_call") mention_maintainer("org", "repo", "pr") github_mock.gh_call.assert_not_called() @pytest.mark.vcr() def test_no_maintainer_no_mention(git_clone, mocker): github_mock = mocker.patch("oca_github_bot.tasks.mention_maintainer.github") github_mock.temporary_clone.return_value.__enter__.return_value = str(git_clone) addon_name = "addon1" addon_dir = make_addon(git_clone, addon_name) modified_addons_mock = mocker.patch( "oca_github_bot.tasks.mention_maintainer.git_modified_addon_dirs" ) modified_addons_mock.return_value = [addon_dir], False mocker.patch("oca_github_bot.tasks.mention_maintainer.check_call") mention_maintainer("org", "repo", "pr") github_mock.gh_call.assert_not_called()

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0.06166

0.087352

0.846245

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0

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0.133389

3,576

93

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38.451613

0.810907

0.034396

0

0.735294

0

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1

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false

0

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0

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0

null

0

1

0

1

0

null

0

7

e655da40440a7153dc4e92b2f2c1bc5f88043a91

111

py

Python

far_ho/examples/__init__.py

JLUNeverMore/FAR-HO

1f381f50f99b83ee5bed9700fcbfa4375096a0ca

[ "MIT" ]

174

2017-12-19T21:22:36.000Z

2021-12-22T21:48:07.000Z

far_ho/examples/__init__.py

Hemanth715/FAR-HO

33817738c01ef7011475dbf6d986f3a1bf9f69c6

[ "MIT" ]

12

2017-12-26T19:46:51.000Z

2020-03-15T12:44:34.000Z

far_ho/examples/__init__.py

Hemanth715/FAR-HO

33817738c01ef7011475dbf6d986f3a1bf9f69c6

[ "MIT" ]

40

2017-12-21T11:41:25.000Z

2022-03-25T20:53:14.000Z

from far_ho.examples.datasets import * from far_ho.examples.load import * from far_ho.examples.models import *

27.75

38

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111

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0.444444

0.241379

0.310345

0.586207

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0

0.108108

111

3

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true

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1

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1

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null

0

1

0

1

0

1

0

8

0597c1bb741fb88848ee1ae2e5e0a62fddb02dce

6,183

py

Python

NAIC_Challenge/NAIC_Person_ReID_DMT/datasets/make_dataloader.py

Liuhongzhi2018/Person_ReID

51c576ed5b4ed960801669d6d59c0a77405b369d

[ "MIT" ]

null

NAIC_Challenge/NAIC_Person_ReID_DMT/datasets/make_dataloader.py

Liuhongzhi2018/Person_ReID

51c576ed5b4ed960801669d6d59c0a77405b369d

[ "MIT" ]

null

NAIC_Challenge/NAIC_Person_ReID_DMT/datasets/make_dataloader.py

Liuhongzhi2018/Person_ReID

51c576ed5b4ed960801669d6d59c0a77405b369d

[ "MIT" ]

null

import torch import torchvision.transforms as T from torch.utils.data import DataLoader from .naic import NAIC from .veri import VeRi from .bases import ImageDataset from .preprocessing import RandomErasing from .sampler import RandomIdentitySampler __factory = { 'veri': VeRi, 'naic': NAIC } def train_collate_fn(batch): """ # collate_fn这个函数的输入就是一个list，list的长度是一个batch size，list中的每个元素都是__getitem__得到的结果 """ imgs, pids, _, _ = zip(*batch) pids = torch.tensor(pids, dtype=torch.int64) return torch.stack(imgs, dim=0), pids def val_collate_fn(batch): imgs, pids, camids, img_paths = zip(*batch) return torch.stack(imgs, dim=0), pids, camids, img_paths def make_dataloader(cfg): if cfg.DATASETS.HARD_AUG: train_transforms = T.Compose([ T.Resize(cfg.INPUT.SIZE_TRAIN), T.RandomHorizontalFlip(p=cfg.INPUT.PROB), T.Pad(cfg.INPUT.PADDING), T.RandomCrop(cfg.INPUT.SIZE_TRAIN), T.ColorJitter(brightness=0.5, contrast=0.5, saturation=0.5, hue=0.2), T.transforms.RandomAffine(0, translate=None, scale=[0.9, 1.1], shear=None, resample=False, fillcolor=128), T.ToTensor(), T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD), RandomErasing(probability=cfg.INPUT.RE_PROB, mean=cfg.INPUT.PIXEL_MEAN) ]) else: train_transforms = T.Compose([ T.Resize(cfg.INPUT.SIZE_TRAIN), T.RandomHorizontalFlip(p=cfg.INPUT.PROB), T.Pad(cfg.INPUT.PADDING), T.RandomCrop(cfg.INPUT.SIZE_TRAIN), T.ToTensor(), T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD), RandomErasing(probability=cfg.INPUT.RE_PROB, mean=cfg.INPUT.PIXEL_MEAN) ]) val_transforms = T.Compose([ T.Resize(cfg.INPUT.SIZE_TEST), T.ToTensor(), T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD) ]) num_workers = cfg.DATALOADER.NUM_WORKERS dataset = __factory[cfg.DATASETS.NAMES](root=cfg.DATASETS.ROOT_DIR) num_classes = dataset.num_train_pids train_set = ImageDataset(dataset.train, train_transforms) if 'triplet' in cfg.DATALOADER.SAMPLER: train_loader = DataLoader( train_set, batch_size=cfg.SOLVER.IMS_PER_BATCH, sampler=RandomIdentitySampler(dataset.train, cfg.SOLVER.IMS_PER_BATCH, cfg.DATALOADER.NUM_INSTANCE), num_workers=num_workers, collate_fn=train_collate_fn ) elif cfg.DATALOADER.SAMPLER == 'softmax': print('using softmax sampler') train_loader = DataLoader( train_set, batch_size=cfg.SOLVER.IMS_PER_BATCH, shuffle=True, num_workers=num_workers, collate_fn=train_collate_fn ) else: print('unsupported sampler! expected softmax or triplet but got {}'.format(cfg.SAMPLER)) val_set_green = ImageDataset(dataset.query_green + dataset.gallery_green, val_transforms) val_loader_green = DataLoader( val_set_green, batch_size=cfg.TEST.IMS_PER_BATCH, shuffle=False, num_workers=num_workers, collate_fn=val_collate_fn ) val_set_normal = ImageDataset(dataset.query_normal + dataset.gallery_normal, val_transforms) val_loader_normal = DataLoader( val_set_normal, batch_size=cfg.TEST.IMS_PER_BATCH, shuffle=False, num_workers=num_workers, collate_fn=val_collate_fn ) return train_loader, val_loader_green, val_loader_normal, len(dataset.query_green), len(dataset.query_normal), num_classes def make_dataloader_Pseudo(cfg): if cfg.DATASETS.HARD_AUG: train_transforms = T.Compose([ T.Resize(cfg.INPUT.SIZE_TRAIN), T.RandomHorizontalFlip(p=cfg.INPUT.PROB), T.Pad(cfg.INPUT.PADDING), T.RandomCrop(cfg.INPUT.SIZE_TRAIN), T.ColorJitter(brightness=0.5, contrast=0.5, saturation=0.5, hue=0.2), T.transforms.RandomAffine(0, translate=None, scale=[0.9, 1.1], shear=None, resample=False, fillcolor=128), T.ToTensor(), T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD), RandomErasing(probability=cfg.INPUT.RE_PROB, mean=cfg.INPUT.PIXEL_MEAN) ]) else: train_transforms = T.Compose([ T.Resize(cfg.INPUT.SIZE_TRAIN), T.RandomHorizontalFlip(p=cfg.INPUT.PROB), T.Pad(cfg.INPUT.PADDING), T.RandomCrop(cfg.INPUT.SIZE_TRAIN), T.ToTensor(), T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD), RandomErasing(probability=cfg.INPUT.RE_PROB, mean=cfg.INPUT.PIXEL_MEAN) ]) val_transforms = T.Compose([ T.Resize(cfg.INPUT.SIZE_TEST), T.ToTensor(), T.Normalize(mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD) ]) num_workers = cfg.DATALOADER.NUM_WORKERS dataset = __factory[cfg.DATASETS.NAMES](root=cfg.DATASETS.ROOT_DIR) num_classes = dataset.num_train_pids train_set = ImageDataset(dataset.train, train_transforms) if 'triplet' in cfg.DATALOADER.SAMPLER: train_loader = DataLoader( train_set, batch_size=cfg.SOLVER.IMS_PER_BATCH, sampler=RandomIdentitySampler(dataset.train, cfg.SOLVER.IMS_PER_BATCH, cfg.DATALOADER.NUM_INSTANCE), num_workers=num_workers, collate_fn=train_collate_fn ) elif cfg.DATALOADER.SAMPLER == 'softmax': print('using softmax sampler') train_loader = DataLoader( train_set, batch_size=cfg.SOLVER.IMS_PER_BATCH, shuffle=True, num_workers=num_workers, collate_fn=train_collate_fn ) else: print('unsupported sampler! expected softmax or triplet but got {}'.format(cfg.SAMPLER)) val_set_green = ImageDataset(dataset.query_green + dataset.gallery_green, val_transforms) val_loader_green = DataLoader( val_set_green, batch_size=cfg.TEST.IMS_PER_BATCH, shuffle=False, num_workers=num_workers, collate_fn=val_collate_fn ) return train_loader, val_loader_green, len(dataset.query_green), num_classes, dataset, train_set, train_transforms

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5525e0f70890467bd4ca12abb8afe2243ce95735

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py

Python

tests/utils.py

Solian42/phf-compilers-tests

c0dc5cc5523d1f676c422397c0fa8b225b5a1b4f

[ "MIT" ]

null

tests/utils.py

Solian42/phf-compilers-tests

c0dc5cc5523d1f676c422397c0fa8b225b5a1b4f

[ "MIT" ]

null

tests/utils.py

Solian42/phf-compilers-tests

c0dc5cc5523d1f676c422397c0fa8b225b5a1b4f

[ "MIT" ]

null

from os import environ from unittest import skipIf def skip_slow_tests(): return bool(environ.get('SLOW_TESTS', False)) slow_test = skipIf(skip_slow_tests(), 'slow test')

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py

Python

autoreject/__init__.py

dengemann/autoreject

d6bd0f27c062c003fb6f1a55a8e197bbd098a8d1

[ "BSD-3-Clause" ]

1

2021-07-23T01:54:47.000Z

autoreject/__init__.py

dengemann/autoreject

d6bd0f27c062c003fb6f1a55a8e197bbd098a8d1

[ "BSD-3-Clause" ]

null

autoreject/__init__.py

dengemann/autoreject

d6bd0f27c062c003fb6f1a55a8e197bbd098a8d1

[ "BSD-3-Clause" ]

null

from .autoreject import GlobalAutoReject, ConsensusAutoReject from .autoreject import compute_threshes, grid_search

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py

Python

laseno/url.py

lechesdarwin/cuentestero

30eb6c27a03f8753d43a2069ec12158d2274d417

[ "Apache-2.0" ]

null

laseno/url.py

lechesdarwin/cuentestero

30eb6c27a03f8753d43a2069ec12158d2274d417

[ "Apache-2.0" ]

null

laseno/url.py

lechesdarwin/cuentestero

30eb6c27a03f8753d43a2069ec12158d2274d417

[ "Apache-2.0" ]

null

urls = [{ 'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/ciudadano-con-sospecha-de-coronavirus-llego-el-13-de-febrero-y-presento-sintomas-hace-4-dias/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/nuevo-sistema-basado-en-ia-para-detectar-cancer-de-mama-de-forma-segura/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/postergan-el-corso-de-corsos-para-el-14-de-marzo/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/reventon-con-las-ex-promos-del-franco/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/proyecto-de-ley-del-litio-fue-presentado-a-los-ministerios-de-energia-y-economia/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/soleto-se-desploma-en-el-alto-y-genera-preocupacion/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/rafinha-y-barros-en-la-mira-de-ponce-para-el-partido-contra-nacional-potosi/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/opera-permite-crear-espacios-de-trabajo-agrupando-pestanas/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/10-000-hectareas-de-cultivos-estan-bajo-el-agua-en-el-pais/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/el-terrorismo-de-estado-mas-grande-da-la-historia/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/instalan-punto-de-control-veterinario-para-mascotas-rescatadas-en-tiquipaya/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/policia-investiga-paradero-de-atracadores-que-se-llevaron-bs-120-mil-de-un-surtidor-en-tarija/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 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['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/se-reportaron-desmanes-el-ultimo-dia-de-carnaval-en-santa-cruz/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/reportan-11-669-familias-afectadas-y-18-fallecidos-por-desastres-naturales-en-todo-el-pais/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/potosi-abandonan-a-bebe-de-12-dias-de-nacida-con-sindrome-de-down/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/un-bestseller-de-los-80-anticipo-el-surgimiento-del-coronavirus-en-china/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/abc-reporta-tres-tramos-cerrados-por-lluvias-en-la-paz-santa-cruz-y-tarija/'},{'class': ['entry-title-link'], 'rel': ['bookmark'], 'href': 'http://eju.tv/2020/02/gobierno-pide-despolitizar-conflictos-limitrofes-por-deslizamiento-en-kella-kella/'},{'class': ['entry-title-link'], 'rel': 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samiulshuvo/fastmri-reproducible-benchmark

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from fastmri_recon.evaluate.scripts.paper_eval import evaluate_paper def test_evaluate_paper(): # TODO: add a test on the metrics values evaluate_paper(n_samples=2)

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factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

6

2022-02-07T16:34:18.000Z

2022-03-30T08:04:57.000Z

code/python/FactSetESG/v1/fds/sdk/FactSetESG/api/sasb_api.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

2

2022-02-07T05:25:57.000Z

2022-03-07T14:18:04.000Z

code/python/FactSetESG/v1/fds/sdk/FactSetESG/api/sasb_api.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

null

""" FactSet ESG API FactSet ESG (powered by FactSet Truvalue Labs) applies machine learning to uncover risks and opportunities from companies' Environmental, Social and Governance (ESG) behavior, which are aggregated and categorized into continuously updated, material ESG scores. The service focuses on company ESG behavior from external sources and includes both positive and negative events that go beyond traditional sources of ESG risk data. FactSet ESG extracts, analyzes, and generates scores from millions of documents each month collected from more than 100,000 data sources in over 13 languages. Sources include news, trade journals, NGOs, watchdog groups, trade blogs, industry reports and social media. Products deliver investable insights by revealing value and risk factors from unstructured data at the speed of current events. # noqa: E501 The version of the OpenAPI document: 1.3.0 Contact: api@factset.com Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from multiprocessing.pool import ApplyResult import typing from fds.sdk.FactSetESG.api_client import ApiClient, Endpoint as _Endpoint from fds.sdk.FactSetESG.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from fds.sdk.FactSetESG.exceptions import ApiException from fds.sdk.FactSetESG.model.error_response import ErrorResponse from fds.sdk.FactSetESG.model.sasb_ranks_request import SasbRanksRequest from fds.sdk.FactSetESG.model.sasb_ranks_response import SasbRanksResponse from fds.sdk.FactSetESG.model.sasb_scores_all_request import SasbScoresAllRequest from fds.sdk.FactSetESG.model.sasb_scores_all_response import SasbScoresAllResponse from fds.sdk.FactSetESG.model.sasb_scores_request import SasbScoresRequest from fds.sdk.FactSetESG.model.sasb_scores_response import SasbScoresResponse class SASBApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client self.get_sasb_ranks_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (SasbRanksResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-esg/v1/sasb-ranks', 'operation_id': 'get_sasb_ranks', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'ids', 'categories', 'start_date', 'end_date', 'frequency', ], 'required': [ 'ids', ], 'nullable': [ ], 'enum': [ 'frequency', ], 'validation': [ 'ids', 'categories', ] }, root_map={ 'validations': { ('ids',): { 'max_items': 1000, 'min_items': 1, }, ('categories',): { 'max_items': 28, 'min_items': 1, }, }, 'allowed_values': { ('frequency',): { "D": "D", "W": "W", "M": "M", "CY": "CY", "EMPTY": "" }, }, 'openapi_types': { 'ids': ([str],), 'categories': ([str],), 'start_date': (str,), 'end_date': (str,), 'frequency': (str,), }, 'attribute_map': { 'ids': 'ids', 'categories': 'categories', 'start_date': 'startDate', 'end_date': 'endDate', 'frequency': 'frequency', }, 'location_map': { 'ids': 'query', 'categories': 'query', 'start_date': 'query', 'end_date': 'query', 'frequency': 'query', }, 'collection_format_map': { 'ids': 'csv', 'categories': 'csv', } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.get_sasb_ranks_post_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (SasbRanksResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-esg/v1/sasb-ranks', 'operation_id': 'get_sasb_ranks_post', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'sasb_ranks_request', ], 'required': [ 'sasb_ranks_request', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'sasb_ranks_request': (SasbRanksRequest,), }, 'attribute_map': { }, 'location_map': { 'sasb_ranks_request': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.get_sasb_scores_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (SasbScoresResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-esg/v1/sasb-scores', 'operation_id': 'get_sasb_scores', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'ids', 'score_types', 'categories', 'start_date', 'end_date', 'frequency', ], 'required': [ 'ids', ], 'nullable': [ ], 'enum': [ 'frequency', ], 'validation': [ 'ids', 'score_types', 'categories', ] }, root_map={ 'validations': { ('ids',): { 'max_items': 1000, 'min_items': 1, }, ('score_types',): { 'max_items': 8, 'min_items': 1, }, ('categories',): { 'max_items': 28, 'min_items': 1, }, }, 'allowed_values': { ('frequency',): { "D": "D", "W": "W", "M": "M", "CY": "CY", "EMPTY": "" }, }, 'openapi_types': { 'ids': ([str],), 'score_types': ([str],), 'categories': ([str],), 'start_date': (str,), 'end_date': (str,), 'frequency': (str,), }, 'attribute_map': { 'ids': 'ids', 'score_types': 'scoreTypes', 'categories': 'categories', 'start_date': 'startDate', 'end_date': 'endDate', 'frequency': 'frequency', }, 'location_map': { 'ids': 'query', 'score_types': 'query', 'categories': 'query', 'start_date': 'query', 'end_date': 'query', 'frequency': 'query', }, 'collection_format_map': { 'ids': 'csv', 'score_types': 'csv', 'categories': 'csv', } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.get_sasb_scores_all_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (SasbScoresAllResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-esg/v1/sasb-scores-all', 'operation_id': 'get_sasb_scores_all', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'ids', 'score_types', 'start_date', 'end_date', 'frequency', ], 'required': [ 'ids', ], 'nullable': [ ], 'enum': [ 'frequency', ], 'validation': [ 'ids', 'score_types', ] }, root_map={ 'validations': { ('ids',): { 'max_items': 1000, 'min_items': 1, }, ('score_types',): { 'max_items': 8, 'min_items': 1, }, }, 'allowed_values': { ('frequency',): { "D": "D", "W": "W", "M": "M", "CY": "CY", "EMPTY": "" }, }, 'openapi_types': { 'ids': ([str],), 'score_types': ([str],), 'start_date': (str,), 'end_date': (str,), 'frequency': (str,), }, 'attribute_map': { 'ids': 'ids', 'score_types': 'scoreTypes', 'start_date': 'startDate', 'end_date': 'endDate', 'frequency': 'frequency', }, 'location_map': { 'ids': 'query', 'score_types': 'query', 'start_date': 'query', 'end_date': 'query', 'frequency': 'query', }, 'collection_format_map': { 'ids': 'csv', 'score_types': 'csv', } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.get_sasb_scores_all_post_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (SasbScoresAllResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-esg/v1/sasb-scores-all', 'operation_id': 'get_sasb_scores_all_post', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'sasb_scores_all_request', ], 'required': [ 'sasb_scores_all_request', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'sasb_scores_all_request': (SasbScoresAllRequest,), }, 'attribute_map': { }, 'location_map': { 'sasb_scores_all_request': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.get_sasb_scores_post_endpoint = _Endpoint( settings={ 'response_type': ( { 200: (SasbScoresResponse,), 400: (ErrorResponse,), 401: (ErrorResponse,), 403: (ErrorResponse,), 415: (ErrorResponse,), 500: (ErrorResponse,), }, None ), 'auth': [ 'FactSetApiKey', 'FactSetOAuth2' ], 'endpoint_path': '/factset-esg/v1/sasb-scores', 'operation_id': 'get_sasb_scores_post', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'sasb_scores_request', ], 'required': [ 'sasb_scores_request', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'sasb_scores_request': (SasbScoresRequest,), }, 'attribute_map': { }, 'location_map': { 'sasb_scores_request': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) @staticmethod def apply_kwargs_defaults(kwargs, return_http_data_only, async_req): kwargs["async_req"] = async_req kwargs["_return_http_data_only"] = return_http_data_only kwargs["_preload_content"] = kwargs.get("_preload_content", True) kwargs["_request_timeout"] = kwargs.get("_request_timeout", None) kwargs["_check_input_type"] = kwargs.get("_check_input_type", True) kwargs["_check_return_type"] = kwargs.get("_check_return_type", True) kwargs["_spec_property_naming"] = kwargs.get("_spec_property_naming", False) kwargs["_content_type"] = kwargs.get("_content_type") kwargs["_host_index"] = kwargs.get("_host_index") def get_sasb_ranks( self, ids, **kwargs ) -> SasbRanksResponse: """Gets ESG Rankings for a requested list of ids and dates. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: categories ([str]): The Categories representing overall or composite rankings from all underlying 26 SASB Categories. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - The company's overall SASB Rank. This value is equal to the cumulative average of all 26 SASB categories. |**MATERIALITY**|**Materiality** - The composite rank of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list each available category. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbRanksResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['ids'] = \ ids return self.get_sasb_ranks_endpoint.call_with_http_info(**kwargs) def get_sasb_ranks_with_http_info( self, ids, **kwargs ) -> typing.Tuple[SasbRanksResponse, int, typing.MutableMapping]: """Gets ESG Rankings for a requested list of ids and dates. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: categories ([str]): The Categories representing overall or composite rankings from all underlying 26 SASB Categories. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - The company's overall SASB Rank. This value is equal to the cumulative average of all 26 SASB categories. |**MATERIALITY**|**Materiality** - The composite rank of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list each available category. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbRanksResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['ids'] = \ ids return self.get_sasb_ranks_endpoint.call_with_http_info(**kwargs) def get_sasb_ranks_async( self, ids, **kwargs ) -> "ApplyResult[SasbRanksResponse]": """Gets ESG Rankings for a requested list of ids and dates. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: categories ([str]): The Categories representing overall or composite rankings from all underlying 26 SASB Categories. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - The company's overall SASB Rank. This value is equal to the cumulative average of all 26 SASB categories. |**MATERIALITY**|**Materiality** - The composite rank of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list each available category. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[SasbRanksResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['ids'] = \ ids return self.get_sasb_ranks_endpoint.call_with_http_info(**kwargs) def get_sasb_ranks_with_http_info_async( self, ids, **kwargs ) -> "ApplyResult[typing.Tuple[SasbRanksResponse, int, typing.MutableMapping]]": """Gets ESG Rankings for a requested list of ids and dates. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: categories ([str]): The Categories representing overall or composite rankings from all underlying 26 SASB Categories. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - The company's overall SASB Rank. This value is equal to the cumulative average of all 26 SASB categories. |**MATERIALITY**|**Materiality** - The composite rank of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list each available category. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(SasbRanksResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['ids'] = \ ids return self.get_sasb_ranks_endpoint.call_with_http_info(**kwargs) def get_sasb_ranks_post( self, sasb_ranks_request, **kwargs ) -> SasbRanksResponse: """Get ESG Ranks for a large list of ids and specified date range. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: sasb_ranks_request (SasbRanksRequest): The SASB Ranks Request Object Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbRanksResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['sasb_ranks_request'] = \ sasb_ranks_request return self.get_sasb_ranks_post_endpoint.call_with_http_info(**kwargs) def get_sasb_ranks_post_with_http_info( self, sasb_ranks_request, **kwargs ) -> typing.Tuple[SasbRanksResponse, int, typing.MutableMapping]: """Get ESG Ranks for a large list of ids and specified date range. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: sasb_ranks_request (SasbRanksRequest): The SASB Ranks Request Object Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbRanksResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['sasb_ranks_request'] = \ sasb_ranks_request return self.get_sasb_ranks_post_endpoint.call_with_http_info(**kwargs) def get_sasb_ranks_post_async( self, sasb_ranks_request, **kwargs ) -> "ApplyResult[SasbRanksResponse]": """Get ESG Ranks for a large list of ids and specified date range. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: sasb_ranks_request (SasbRanksRequest): The SASB Ranks Request Object Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[SasbRanksResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['sasb_ranks_request'] = \ sasb_ranks_request return self.get_sasb_ranks_post_endpoint.call_with_http_info(**kwargs) def get_sasb_ranks_post_with_http_info_async( self, sasb_ranks_request, **kwargs ) -> "ApplyResult[typing.Tuple[SasbRanksResponse, int, typing.MutableMapping]]": """Get ESG Ranks for a large list of ids and specified date range. # noqa: E501 Indicates if a company is a Leader, Above Average, Average, Below Average, or a Laggard; directly mapping from Industry Percentiles (*request IND_PCTL in scores endpoints*). Mapping of ESG Ranks to Industry Percentile Ranges is as follows - |Rank|Industry Percentile Range (%)| |---|---| |Leader|90 - 100| |Above Average|70 - 89.9| |Average|30 - 69.9| |Below Average|10 - 29.9| |Laggard|0 - 9.9| Industry classifications follow SICS, SASB's Industry Classification System. Using the Adjusted Insight scores, Industry Percentiles are generated for all companies. Companies with five or more articles in a year get ranked in a first pass, then companies with filled-in values are interpolated without forcing the ranking of higher-volume companies up or down. In the case where a company falls into an industry with fewer than 7 high or medium volume companies the Sector Percentile is inserted in the place of the Industry Percentile score. Only Vaild for ALLCATEGORIES and MATERIALITY categories. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: sasb_ranks_request (SasbRanksRequest): The SASB Ranks Request Object Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(SasbRanksResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['sasb_ranks_request'] = \ sasb_ranks_request return self.get_sasb_ranks_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores( self, ids, **kwargs ) -> SasbScoresResponse: """Gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] categories ([str]): The SASB Categories requested for the respective scoreType(s). The default value is **ALLCATEGORIES**, which represents all 26 categories in a single overall score. To request a specifc category or list of categories, simply input the category names below. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - this category represents a company's overall SASB Score for the specific 'scoreType'. This value is equal to the cumulative average of all 26 SASB categories for the specific 'scoreType'.*Note that category is not available for the Dynamic Materiality 'scoreType'. |**ACCESSANDAFFORDABILITY**|**Access and Affordability** - The category addresses a company's ability to ensure broad access to its products and services, specifically in the context of underserved markets and/or population groups. It includes the management of issues related to universal needs, such as the accessibility and affordability of health care, financial services, utilities , education, and telecommunications.| |**AIRQUALITY**|**Air Quality** - the category addresses management of air quality impacts resulting from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes) as well as industrial emissions. Relevant airborne pollutants include, but are not limited to, oxides of nitrogen (NOx), oxides of sulfur (SOx), volatile organic compounds (VOCs), heavy metals, particulate matter, and chlorofluorocarbons. The category does not include GHG emissions, which are addressed in a separate category.| |**BUSINESSETHICS**|**Business Ethics** - the category addresses the company's approach to managing risks and opportunities surrounding ethical conduct of business, including fraud, corruption, bribery and facilitation payments, fiduciary responsibilities, and other behavior that may have an ethical component. This includes sensitivity to business norms and standards as they shift over time, jurisdiction, and culture. It addresses the company's ability to provide services that satisfy the highest professional and ethical standards of the industry, which means to avoid conflicts of interest, misrepresentation, bias, and negligence through training employees adequately and implementing policies and procedures to ensure employees provide services free from bias and error.| |**BUSMODELRESILIENCE**|**Business Model Resilience** - the category addresses an industry's capacity to manage risks and opportunities associated with incorporating social, environmental, and political transitions into long-term business model planning. This includes responsiveness to the transition to a low-carbon and climate-constrained economy, as well as growth and creation of new markets among unserved and underserved socioeconomic populations. The category highlights industries in which evolving environmental and social realities may challenge companies to fundamentally adapt or may put their business models at risk.| |**COMPETITIVEBEHAVIOR**|**Competitive Behavior** - the category covers social issues associated with existence of monopolies, which may include, but are not limited to, excessive prices, poor quality of service, and inefficiencies. It addresses a company's management of legal and social expectation around monopolistic and anti-competitive practices, including issues related to bargaining power, collusion, price fixing or manipulation, and protection of patents and intellectual property (IP).| |**CRITINCIDENTRISKMGT**|**Critical Incident Risk Management** - the category addresses the company's use of management systems and scenario planning to identify, understand, and prevent or minimize the occurrence of low-probability, high-impact accidents and emergencies with significant potential environmental and social externalities. It relates to the culture of safety at a company, its relevant safety management systems and technological controls, the potential human, environmental, and social implications of such events occurring, and the long-term effects to an organization, its workers, and society should these events occur.| |**CUSTOMERPRIVACY**|**Customer Privacy** - the category addresses management of risks related to the use of personally identifiable information (PII) and other customer or user data for secondary purposes including but not limited to marketing through affiliates and non-affiliates. The scope of the category includes social issues that may arise from a company's approach to collecting data, obtaining consent (e.g., opt-in policies), managing user and customer expectations regarding how their data is used, and managing evolving regulation. It excludes social issues arising from cybersecurity risks, which are covered in a separate category.| |**CUSTWELFARE**|**Customer Welfare** - the category addresses customer welfare concerns over issues including, but not limited to, health and nutrition of foods and beverages, antibiotic use in animal production, and management of controlled substances. The category addresses the company's ability to provide consumers with manufactured products and services that are aligned with societal expectations. It does not include issues directly related to quality and safety malfunctions of manufactured products and services, but instead addresses qualities inherent to the design and delivery of products and services where customer welfare may be in question. The scope of the category also captures companies' ability to prevent counterfeit products.| |**DATASECURITY**|**Data Security** - the category addresses management of risks related to collection, retention, and use of sensitive, confidential, and/or proprietary customer or user data. It includes social issues that may arise from incidents such as data breaches in which personally identifiable information (PII) and other user or customer data may be exposed. It addresses a company's strategy, policies, and practices related to IT infrastructure, staff training, record keeping, cooperation with law enforcement, and other mechanisms used to ensure security of customer or user data.| |**ECOLOGICALIMPACTS**|**Ecological Impacts** - the category addresses management of the company's impacts on ecosystems and biodiversity through activities including, but not limited to, land use for exploration, natural resource extraction, and cultivation, as well as project development, construction, and siting. The impacts include, but are not limited to, biodiversity loss, habitat destruction, and deforestation at all stages – planning, land acquisition, permitting, development, operations, and site remediation. The category does not cover impacts of climate change on ecosystems and biodiversity.| |**EMPENGDIVANDINC**|**Employee Engagement Diversity and Inclusion** - the category addresses a company's ability to ensure that its culture and hiring and promotion practices embrace the building of a diverse and inclusive workforce that reflects the makeup of local talent pools and its customer base. It addresses the issues of discriminatory practices on the bases of race, gender, ethnicity, religion, sexual orientation, and other factors.| |**EMPHEALTHANDSAFETY**|**Employee Health and Safety** - the category addresses a company's ability to create and maintain a safe and healthy workplace environment that is free of injuries, fatalities, and illness (both chronic and acute). It is traditionally accomplished through implementing safety management plans, developing training requirements for employees and contractors, and conducting regular audits of their own practices as well as those of their subcontractors. The category further captures how companies ensure physical and mental health of workforce through technology, training, corporate culture, regulatory compliance, monitoring and testing, and personal protective equipment.| |**ENERGYMGT**|**Energy Management** - the category addresses environmental impacts associated with energy consumption. It addresses the company's management of energy in manufacturing and/or for provision of products and services derived from utility providers (grid energy) not owned or controlled by the company. More specifically, it includes management of energy efficiency and intensity, energy mix, as well as grid reliance. Upstream (e.g., suppliers) and downstream (e.g., product use) energy use is not included in the scope.| |**GHGEMISSIONS**|**Greenhouse Gas Emissions** - the category addresses direct (Scope 1) greenhouse gas (GHG) emissions that a company generates through its operations. This includes GHG emissions from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes), whether a result of combustion of fuel or non-combusted direct releases during activities such as natural resource extraction, power generation, land use, or biogenic processes. The category further includes management of regulatory risks, environmental compliance, and reputational risks and opportunities, as they related to direct GHG emissions. The seven GHGs covered under the Kyoto Protocol are included within the category— carbon dioxide (CO2 ), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), and nitrogen trifluoride (NF3).| |**HUMANRIGHTSANDCOMRELS**|**Human Rights and Community Relations** - the category addresses management of the relationship between businesses and the communities in which they operate, including, but not limited to, management of direct and indirect impacts on core human rights and the treatment of indigenous peoples. More specifically, such management may cover socio-economic community impacts, community engagement, environmental justice, cultivation of local workforces, impact on local businesses, license to operate, and environmental/social impact assessments. The category does not include environmental impacts such as air pollution or waste which, although they may impact the health and safety of members of local communities, are addressed in separate categories.| |**LABORPRACTICES**|**Labor Practices** - the category addresses the company's ability to uphold commonly accepted labor standards in the workplace, including compliance with labor laws and internationally accepted norms and standards. This includes, but is not limited to, ensuring basic human rights related to child labor, forced or bonded labor, exploitative labor, fair wages and overtime pay, and other basic workers' rights. It also includes minimum wage policies and provision of benefits, which may influence how a workforce is attracted, retained, and motivated. The category further addresses a company's relationship with organized labor and freedom of association.| |**MGTOFLEGALANDREGENV**|**Management of the Legal and Regulatory Environment** - the category addresses a company's approach to engaging with regulators in cases where conflicting corporate and public interests may have the potential for long-term adverse direct or indirect environmental and social impacts. The category addresses a company's level of reliance upon regulatory policy or monetary incentives (such as subsidies and taxes), actions to influence industry policy (such as through lobbying), overall reliance on a favorable regulatory environment for business competitiveness, and ability to comply with relevant regulations. It may relate to the alignment of management and investor views of regulatory engagement and compliance at large.| |**MATSOURCINGANDEFF**|**Materials Sourcing and Efficiency** - the category addresses issues related to the resilience of materials supply chains to impacts of climate change and other external environmental and social factors. It captures the impacts of such external factors on operational activity of suppliers, which can further affect availability and pricing of key resources. It addresses a company's ability to manage these risks through product design, manufacturing, and end-of-life management, such as by using of recycled and renewable materials, reducing the use of key materials (dematerialization), maximizing resource efficiency in manufacturing, and making R&D investments in substitute materials. Additionally, companies can manage these issues by screening, selection, monitoring, and engagement with suppliers to ensure their resilience to external risks. It does not address issues associated with environmental and social externalities created by operational activity of individual suppliers, which is covered in a separate category.| |**MATERIALITY**|**Materiality** - this category represents a composite score of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| |**PHYIMPACTSOFCLIMATECHG**|**Physical Impacts of Climate Change** - the category addresses the company's ability to manage risks and opportunities associated with direct exposure of its owned or controlled assets and operations to actual or potential physical impacts of climate change. It captures environmental and social issues that may arise from operational disruptions due to physical impacts of climate change. It further captures socioeconomic issues resulting from companies failing to incorporate climate change consideration in products and services sold, such as insurance policies and mortgages. The category relates to the company's ability to adapt to increased frequency and severity of extreme weather, shifting climate, sea level risk, and other expected physical impacts of climate change. Management may involve enhancing resiliency of physical assets and/or surrounding infrastructure as well as incorporation of climate change-related considerations into key business activities (e.g., mortgage and insurance underwriting, planning and development of real estate projects).| |**PDANDLIFECYCLEMGT**|**Product Design and Lifecycle Management** - the category addresses incorporation of environmental, social, and governance (ESG) considerations in characteristics of products and services provided or sold by the company. It includes, but is not limited to, managing the lifecycle impacts of products and services, such as those related to packaging, distribution, use-phase resource intensity, and other environmental and social externalities that may occur during their use-phase or at the end of life. The category captures a company's ability to address customer and societal demand for more sustainable products and services as well as to meet evolving environmental and social regulation. It does not address direct environmental or social impacts of the company's operations nor does it address health and safety risks to consumers from product use, which are covered in other categories.| |**PRODQUALITYANDSFTY**|**Product Quality and Safety** - the category addresses issues involving unintended characteristics of products sold or services provided that may create health or safety risks to end-users. It addresses a company's ability to offer manufactured products and/or services that meet customer expectations with respect to their health and safety characteristics. It includes, but is not limited to, issues involving liability, management of recalls and market withdrawals, product testing, and chemicals/content/ ingredient management in products.| |**SELLPRACANDPRODLABEL**|**Selling Practices and Product Labeling** - the category addresses social issues that may arise from a failure to manage the transparency, accuracy, and comprehensibility of marketing statements, advertising, and labeling of products and services. It includes, but is not limited to, advertising standards and regulations, ethical and responsible marketing practices, misleading or deceptive labeling, as well as discriminatory or predatory selling and lending practices. This may include deceptive or aggressive selling practices in which incentive structures for employees could encourage the sale of products or services that are not in the best interest of customers or clients.| |**SUPPLYCHAINMGT**|**Supply Chain Management** - the category addresses management of environmental, social, and governance (ESG) risks within a company's supply chain. It addresses issues associated with environmental and social externalities created by suppliers through their operational activities. Such issues include, but are not limited to, environmental responsibility, human rights, labor practices, and ethics and corruption. Management may involve screening, selection, monitoring, and engagement with suppliers on their environmental and social impacts. The category does not address the impacts of external factors – such as climate change and other environmental and social factors – on suppliers' operations and/or on the availability and pricing of key resources, which is covered in a separate category.| |**SYSTEMICRISKMGT**|**Systemic Risk Management** - the category addresses the company's contributions to, or management of systemic risks resulting from large-scale weakening or collapse of systems upon which the economy and society depend. This includes financial systems, natural resource systems, and technological systems. It addresses the mechanisms a company has in place to reduce its contributions to systemic risks and to improve safeguards that may mitigate the impacts of systemic failure. For financial institutions, the category also captures the company's ability to absorb shocks arising from financial and economic stress and meet stricter regulatory requirements related to the complexity and interconnectedness of companies in the industry.| |**WASTEANDHZRDMATSMGT**|**Waste and Hazardous Materials Management** - the category addresses environmental issues associated with hazardous and non-hazardous waste generated by companies. It addresses a company's management of solid wastes in manufacturing, agriculture, and other industrial processes. It covers treatment, handling, storage, disposal, and regulatory compliance. The category does not cover emissions to air or wastewater, nor does it cover waste from end-of-life of products, which are addressed in separate categories.| |**WATERANDWASTEWATERMGT**|**Water and Wastewater Management** - the category addresses a company's water use, water consumption, wastewater generation, and other impacts of operations on water resources, which may be influenced by regional differences in the availability and quality of and competition for water resources. More specifically, it addresses management strategies including, but not limited to, water efficiency, intensity, and recycling. Lastly, the category also addresses management of wastewater treatment and discharge, including groundwater and aquifer pollution.| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list out all 26 in the request. *This is not the same as \"ALLCATEGORIES\" which is a single overall score for the company and returned as default.* . [optional] if omitted the server will use the default value of ["ALLCATEGORIES"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['ids'] = \ ids return self.get_sasb_scores_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_with_http_info( self, ids, **kwargs ) -> typing.Tuple[SasbScoresResponse, int, typing.MutableMapping]: """Gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] categories ([str]): The SASB Categories requested for the respective scoreType(s). The default value is **ALLCATEGORIES**, which represents all 26 categories in a single overall score. To request a specifc category or list of categories, simply input the category names below. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - this category represents a company's overall SASB Score for the specific 'scoreType'. This value is equal to the cumulative average of all 26 SASB categories for the specific 'scoreType'.*Note that category is not available for the Dynamic Materiality 'scoreType'. |**ACCESSANDAFFORDABILITY**|**Access and Affordability** - The category addresses a company's ability to ensure broad access to its products and services, specifically in the context of underserved markets and/or population groups. It includes the management of issues related to universal needs, such as the accessibility and affordability of health care, financial services, utilities , education, and telecommunications.| |**AIRQUALITY**|**Air Quality** - the category addresses management of air quality impacts resulting from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes) as well as industrial emissions. Relevant airborne pollutants include, but are not limited to, oxides of nitrogen (NOx), oxides of sulfur (SOx), volatile organic compounds (VOCs), heavy metals, particulate matter, and chlorofluorocarbons. The category does not include GHG emissions, which are addressed in a separate category.| |**BUSINESSETHICS**|**Business Ethics** - the category addresses the company's approach to managing risks and opportunities surrounding ethical conduct of business, including fraud, corruption, bribery and facilitation payments, fiduciary responsibilities, and other behavior that may have an ethical component. This includes sensitivity to business norms and standards as they shift over time, jurisdiction, and culture. It addresses the company's ability to provide services that satisfy the highest professional and ethical standards of the industry, which means to avoid conflicts of interest, misrepresentation, bias, and negligence through training employees adequately and implementing policies and procedures to ensure employees provide services free from bias and error.| |**BUSMODELRESILIENCE**|**Business Model Resilience** - the category addresses an industry's capacity to manage risks and opportunities associated with incorporating social, environmental, and political transitions into long-term business model planning. This includes responsiveness to the transition to a low-carbon and climate-constrained economy, as well as growth and creation of new markets among unserved and underserved socioeconomic populations. The category highlights industries in which evolving environmental and social realities may challenge companies to fundamentally adapt or may put their business models at risk.| |**COMPETITIVEBEHAVIOR**|**Competitive Behavior** - the category covers social issues associated with existence of monopolies, which may include, but are not limited to, excessive prices, poor quality of service, and inefficiencies. It addresses a company's management of legal and social expectation around monopolistic and anti-competitive practices, including issues related to bargaining power, collusion, price fixing or manipulation, and protection of patents and intellectual property (IP).| |**CRITINCIDENTRISKMGT**|**Critical Incident Risk Management** - the category addresses the company's use of management systems and scenario planning to identify, understand, and prevent or minimize the occurrence of low-probability, high-impact accidents and emergencies with significant potential environmental and social externalities. It relates to the culture of safety at a company, its relevant safety management systems and technological controls, the potential human, environmental, and social implications of such events occurring, and the long-term effects to an organization, its workers, and society should these events occur.| |**CUSTOMERPRIVACY**|**Customer Privacy** - the category addresses management of risks related to the use of personally identifiable information (PII) and other customer or user data for secondary purposes including but not limited to marketing through affiliates and non-affiliates. The scope of the category includes social issues that may arise from a company's approach to collecting data, obtaining consent (e.g., opt-in policies), managing user and customer expectations regarding how their data is used, and managing evolving regulation. It excludes social issues arising from cybersecurity risks, which are covered in a separate category.| |**CUSTWELFARE**|**Customer Welfare** - the category addresses customer welfare concerns over issues including, but not limited to, health and nutrition of foods and beverages, antibiotic use in animal production, and management of controlled substances. The category addresses the company's ability to provide consumers with manufactured products and services that are aligned with societal expectations. It does not include issues directly related to quality and safety malfunctions of manufactured products and services, but instead addresses qualities inherent to the design and delivery of products and services where customer welfare may be in question. The scope of the category also captures companies' ability to prevent counterfeit products.| |**DATASECURITY**|**Data Security** - the category addresses management of risks related to collection, retention, and use of sensitive, confidential, and/or proprietary customer or user data. It includes social issues that may arise from incidents such as data breaches in which personally identifiable information (PII) and other user or customer data may be exposed. It addresses a company's strategy, policies, and practices related to IT infrastructure, staff training, record keeping, cooperation with law enforcement, and other mechanisms used to ensure security of customer or user data.| |**ECOLOGICALIMPACTS**|**Ecological Impacts** - the category addresses management of the company's impacts on ecosystems and biodiversity through activities including, but not limited to, land use for exploration, natural resource extraction, and cultivation, as well as project development, construction, and siting. The impacts include, but are not limited to, biodiversity loss, habitat destruction, and deforestation at all stages – planning, land acquisition, permitting, development, operations, and site remediation. The category does not cover impacts of climate change on ecosystems and biodiversity.| |**EMPENGDIVANDINC**|**Employee Engagement Diversity and Inclusion** - the category addresses a company's ability to ensure that its culture and hiring and promotion practices embrace the building of a diverse and inclusive workforce that reflects the makeup of local talent pools and its customer base. It addresses the issues of discriminatory practices on the bases of race, gender, ethnicity, religion, sexual orientation, and other factors.| |**EMPHEALTHANDSAFETY**|**Employee Health and Safety** - the category addresses a company's ability to create and maintain a safe and healthy workplace environment that is free of injuries, fatalities, and illness (both chronic and acute). It is traditionally accomplished through implementing safety management plans, developing training requirements for employees and contractors, and conducting regular audits of their own practices as well as those of their subcontractors. The category further captures how companies ensure physical and mental health of workforce through technology, training, corporate culture, regulatory compliance, monitoring and testing, and personal protective equipment.| |**ENERGYMGT**|**Energy Management** - the category addresses environmental impacts associated with energy consumption. It addresses the company's management of energy in manufacturing and/or for provision of products and services derived from utility providers (grid energy) not owned or controlled by the company. More specifically, it includes management of energy efficiency and intensity, energy mix, as well as grid reliance. Upstream (e.g., suppliers) and downstream (e.g., product use) energy use is not included in the scope.| |**GHGEMISSIONS**|**Greenhouse Gas Emissions** - the category addresses direct (Scope 1) greenhouse gas (GHG) emissions that a company generates through its operations. This includes GHG emissions from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes), whether a result of combustion of fuel or non-combusted direct releases during activities such as natural resource extraction, power generation, land use, or biogenic processes. The category further includes management of regulatory risks, environmental compliance, and reputational risks and opportunities, as they related to direct GHG emissions. The seven GHGs covered under the Kyoto Protocol are included within the category— carbon dioxide (CO2 ), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), and nitrogen trifluoride (NF3).| |**HUMANRIGHTSANDCOMRELS**|**Human Rights and Community Relations** - the category addresses management of the relationship between businesses and the communities in which they operate, including, but not limited to, management of direct and indirect impacts on core human rights and the treatment of indigenous peoples. More specifically, such management may cover socio-economic community impacts, community engagement, environmental justice, cultivation of local workforces, impact on local businesses, license to operate, and environmental/social impact assessments. The category does not include environmental impacts such as air pollution or waste which, although they may impact the health and safety of members of local communities, are addressed in separate categories.| |**LABORPRACTICES**|**Labor Practices** - the category addresses the company's ability to uphold commonly accepted labor standards in the workplace, including compliance with labor laws and internationally accepted norms and standards. This includes, but is not limited to, ensuring basic human rights related to child labor, forced or bonded labor, exploitative labor, fair wages and overtime pay, and other basic workers' rights. It also includes minimum wage policies and provision of benefits, which may influence how a workforce is attracted, retained, and motivated. The category further addresses a company's relationship with organized labor and freedom of association.| |**MGTOFLEGALANDREGENV**|**Management of the Legal and Regulatory Environment** - the category addresses a company's approach to engaging with regulators in cases where conflicting corporate and public interests may have the potential for long-term adverse direct or indirect environmental and social impacts. The category addresses a company's level of reliance upon regulatory policy or monetary incentives (such as subsidies and taxes), actions to influence industry policy (such as through lobbying), overall reliance on a favorable regulatory environment for business competitiveness, and ability to comply with relevant regulations. It may relate to the alignment of management and investor views of regulatory engagement and compliance at large.| |**MATSOURCINGANDEFF**|**Materials Sourcing and Efficiency** - the category addresses issues related to the resilience of materials supply chains to impacts of climate change and other external environmental and social factors. It captures the impacts of such external factors on operational activity of suppliers, which can further affect availability and pricing of key resources. It addresses a company's ability to manage these risks through product design, manufacturing, and end-of-life management, such as by using of recycled and renewable materials, reducing the use of key materials (dematerialization), maximizing resource efficiency in manufacturing, and making R&D investments in substitute materials. Additionally, companies can manage these issues by screening, selection, monitoring, and engagement with suppliers to ensure their resilience to external risks. It does not address issues associated with environmental and social externalities created by operational activity of individual suppliers, which is covered in a separate category.| |**MATERIALITY**|**Materiality** - this category represents a composite score of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| |**PHYIMPACTSOFCLIMATECHG**|**Physical Impacts of Climate Change** - the category addresses the company's ability to manage risks and opportunities associated with direct exposure of its owned or controlled assets and operations to actual or potential physical impacts of climate change. It captures environmental and social issues that may arise from operational disruptions due to physical impacts of climate change. It further captures socioeconomic issues resulting from companies failing to incorporate climate change consideration in products and services sold, such as insurance policies and mortgages. The category relates to the company's ability to adapt to increased frequency and severity of extreme weather, shifting climate, sea level risk, and other expected physical impacts of climate change. Management may involve enhancing resiliency of physical assets and/or surrounding infrastructure as well as incorporation of climate change-related considerations into key business activities (e.g., mortgage and insurance underwriting, planning and development of real estate projects).| |**PDANDLIFECYCLEMGT**|**Product Design and Lifecycle Management** - the category addresses incorporation of environmental, social, and governance (ESG) considerations in characteristics of products and services provided or sold by the company. It includes, but is not limited to, managing the lifecycle impacts of products and services, such as those related to packaging, distribution, use-phase resource intensity, and other environmental and social externalities that may occur during their use-phase or at the end of life. The category captures a company's ability to address customer and societal demand for more sustainable products and services as well as to meet evolving environmental and social regulation. It does not address direct environmental or social impacts of the company's operations nor does it address health and safety risks to consumers from product use, which are covered in other categories.| |**PRODQUALITYANDSFTY**|**Product Quality and Safety** - the category addresses issues involving unintended characteristics of products sold or services provided that may create health or safety risks to end-users. It addresses a company's ability to offer manufactured products and/or services that meet customer expectations with respect to their health and safety characteristics. It includes, but is not limited to, issues involving liability, management of recalls and market withdrawals, product testing, and chemicals/content/ ingredient management in products.| |**SELLPRACANDPRODLABEL**|**Selling Practices and Product Labeling** - the category addresses social issues that may arise from a failure to manage the transparency, accuracy, and comprehensibility of marketing statements, advertising, and labeling of products and services. It includes, but is not limited to, advertising standards and regulations, ethical and responsible marketing practices, misleading or deceptive labeling, as well as discriminatory or predatory selling and lending practices. This may include deceptive or aggressive selling practices in which incentive structures for employees could encourage the sale of products or services that are not in the best interest of customers or clients.| |**SUPPLYCHAINMGT**|**Supply Chain Management** - the category addresses management of environmental, social, and governance (ESG) risks within a company's supply chain. It addresses issues associated with environmental and social externalities created by suppliers through their operational activities. Such issues include, but are not limited to, environmental responsibility, human rights, labor practices, and ethics and corruption. Management may involve screening, selection, monitoring, and engagement with suppliers on their environmental and social impacts. The category does not address the impacts of external factors – such as climate change and other environmental and social factors – on suppliers' operations and/or on the availability and pricing of key resources, which is covered in a separate category.| |**SYSTEMICRISKMGT**|**Systemic Risk Management** - the category addresses the company's contributions to, or management of systemic risks resulting from large-scale weakening or collapse of systems upon which the economy and society depend. This includes financial systems, natural resource systems, and technological systems. It addresses the mechanisms a company has in place to reduce its contributions to systemic risks and to improve safeguards that may mitigate the impacts of systemic failure. For financial institutions, the category also captures the company's ability to absorb shocks arising from financial and economic stress and meet stricter regulatory requirements related to the complexity and interconnectedness of companies in the industry.| |**WASTEANDHZRDMATSMGT**|**Waste and Hazardous Materials Management** - the category addresses environmental issues associated with hazardous and non-hazardous waste generated by companies. It addresses a company's management of solid wastes in manufacturing, agriculture, and other industrial processes. It covers treatment, handling, storage, disposal, and regulatory compliance. The category does not cover emissions to air or wastewater, nor does it cover waste from end-of-life of products, which are addressed in separate categories.| |**WATERANDWASTEWATERMGT**|**Water and Wastewater Management** - the category addresses a company's water use, water consumption, wastewater generation, and other impacts of operations on water resources, which may be influenced by regional differences in the availability and quality of and competition for water resources. More specifically, it addresses management strategies including, but not limited to, water efficiency, intensity, and recycling. Lastly, the category also addresses management of wastewater treatment and discharge, including groundwater and aquifer pollution.| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list out all 26 in the request. *This is not the same as \"ALLCATEGORIES\" which is a single overall score for the company and returned as default.* . [optional] if omitted the server will use the default value of ["ALLCATEGORIES"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['ids'] = \ ids return self.get_sasb_scores_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_async( self, ids, **kwargs ) -> "ApplyResult[SasbScoresResponse]": """Gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] categories ([str]): The SASB Categories requested for the respective scoreType(s). The default value is **ALLCATEGORIES**, which represents all 26 categories in a single overall score. To request a specifc category or list of categories, simply input the category names below. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - this category represents a company's overall SASB Score for the specific 'scoreType'. This value is equal to the cumulative average of all 26 SASB categories for the specific 'scoreType'.*Note that category is not available for the Dynamic Materiality 'scoreType'. |**ACCESSANDAFFORDABILITY**|**Access and Affordability** - The category addresses a company's ability to ensure broad access to its products and services, specifically in the context of underserved markets and/or population groups. It includes the management of issues related to universal needs, such as the accessibility and affordability of health care, financial services, utilities , education, and telecommunications.| |**AIRQUALITY**|**Air Quality** - the category addresses management of air quality impacts resulting from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes) as well as industrial emissions. Relevant airborne pollutants include, but are not limited to, oxides of nitrogen (NOx), oxides of sulfur (SOx), volatile organic compounds (VOCs), heavy metals, particulate matter, and chlorofluorocarbons. The category does not include GHG emissions, which are addressed in a separate category.| |**BUSINESSETHICS**|**Business Ethics** - the category addresses the company's approach to managing risks and opportunities surrounding ethical conduct of business, including fraud, corruption, bribery and facilitation payments, fiduciary responsibilities, and other behavior that may have an ethical component. This includes sensitivity to business norms and standards as they shift over time, jurisdiction, and culture. It addresses the company's ability to provide services that satisfy the highest professional and ethical standards of the industry, which means to avoid conflicts of interest, misrepresentation, bias, and negligence through training employees adequately and implementing policies and procedures to ensure employees provide services free from bias and error.| |**BUSMODELRESILIENCE**|**Business Model Resilience** - the category addresses an industry's capacity to manage risks and opportunities associated with incorporating social, environmental, and political transitions into long-term business model planning. This includes responsiveness to the transition to a low-carbon and climate-constrained economy, as well as growth and creation of new markets among unserved and underserved socioeconomic populations. The category highlights industries in which evolving environmental and social realities may challenge companies to fundamentally adapt or may put their business models at risk.| |**COMPETITIVEBEHAVIOR**|**Competitive Behavior** - the category covers social issues associated with existence of monopolies, which may include, but are not limited to, excessive prices, poor quality of service, and inefficiencies. It addresses a company's management of legal and social expectation around monopolistic and anti-competitive practices, including issues related to bargaining power, collusion, price fixing or manipulation, and protection of patents and intellectual property (IP).| |**CRITINCIDENTRISKMGT**|**Critical Incident Risk Management** - the category addresses the company's use of management systems and scenario planning to identify, understand, and prevent or minimize the occurrence of low-probability, high-impact accidents and emergencies with significant potential environmental and social externalities. It relates to the culture of safety at a company, its relevant safety management systems and technological controls, the potential human, environmental, and social implications of such events occurring, and the long-term effects to an organization, its workers, and society should these events occur.| |**CUSTOMERPRIVACY**|**Customer Privacy** - the category addresses management of risks related to the use of personally identifiable information (PII) and other customer or user data for secondary purposes including but not limited to marketing through affiliates and non-affiliates. The scope of the category includes social issues that may arise from a company's approach to collecting data, obtaining consent (e.g., opt-in policies), managing user and customer expectations regarding how their data is used, and managing evolving regulation. It excludes social issues arising from cybersecurity risks, which are covered in a separate category.| |**CUSTWELFARE**|**Customer Welfare** - the category addresses customer welfare concerns over issues including, but not limited to, health and nutrition of foods and beverages, antibiotic use in animal production, and management of controlled substances. The category addresses the company's ability to provide consumers with manufactured products and services that are aligned with societal expectations. It does not include issues directly related to quality and safety malfunctions of manufactured products and services, but instead addresses qualities inherent to the design and delivery of products and services where customer welfare may be in question. The scope of the category also captures companies' ability to prevent counterfeit products.| |**DATASECURITY**|**Data Security** - the category addresses management of risks related to collection, retention, and use of sensitive, confidential, and/or proprietary customer or user data. It includes social issues that may arise from incidents such as data breaches in which personally identifiable information (PII) and other user or customer data may be exposed. It addresses a company's strategy, policies, and practices related to IT infrastructure, staff training, record keeping, cooperation with law enforcement, and other mechanisms used to ensure security of customer or user data.| |**ECOLOGICALIMPACTS**|**Ecological Impacts** - the category addresses management of the company's impacts on ecosystems and biodiversity through activities including, but not limited to, land use for exploration, natural resource extraction, and cultivation, as well as project development, construction, and siting. The impacts include, but are not limited to, biodiversity loss, habitat destruction, and deforestation at all stages – planning, land acquisition, permitting, development, operations, and site remediation. The category does not cover impacts of climate change on ecosystems and biodiversity.| |**EMPENGDIVANDINC**|**Employee Engagement Diversity and Inclusion** - the category addresses a company's ability to ensure that its culture and hiring and promotion practices embrace the building of a diverse and inclusive workforce that reflects the makeup of local talent pools and its customer base. It addresses the issues of discriminatory practices on the bases of race, gender, ethnicity, religion, sexual orientation, and other factors.| |**EMPHEALTHANDSAFETY**|**Employee Health and Safety** - the category addresses a company's ability to create and maintain a safe and healthy workplace environment that is free of injuries, fatalities, and illness (both chronic and acute). It is traditionally accomplished through implementing safety management plans, developing training requirements for employees and contractors, and conducting regular audits of their own practices as well as those of their subcontractors. The category further captures how companies ensure physical and mental health of workforce through technology, training, corporate culture, regulatory compliance, monitoring and testing, and personal protective equipment.| |**ENERGYMGT**|**Energy Management** - the category addresses environmental impacts associated with energy consumption. It addresses the company's management of energy in manufacturing and/or for provision of products and services derived from utility providers (grid energy) not owned or controlled by the company. More specifically, it includes management of energy efficiency and intensity, energy mix, as well as grid reliance. Upstream (e.g., suppliers) and downstream (e.g., product use) energy use is not included in the scope.| |**GHGEMISSIONS**|**Greenhouse Gas Emissions** - the category addresses direct (Scope 1) greenhouse gas (GHG) emissions that a company generates through its operations. This includes GHG emissions from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes), whether a result of combustion of fuel or non-combusted direct releases during activities such as natural resource extraction, power generation, land use, or biogenic processes. The category further includes management of regulatory risks, environmental compliance, and reputational risks and opportunities, as they related to direct GHG emissions. The seven GHGs covered under the Kyoto Protocol are included within the category— carbon dioxide (CO2 ), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), and nitrogen trifluoride (NF3).| |**HUMANRIGHTSANDCOMRELS**|**Human Rights and Community Relations** - the category addresses management of the relationship between businesses and the communities in which they operate, including, but not limited to, management of direct and indirect impacts on core human rights and the treatment of indigenous peoples. More specifically, such management may cover socio-economic community impacts, community engagement, environmental justice, cultivation of local workforces, impact on local businesses, license to operate, and environmental/social impact assessments. The category does not include environmental impacts such as air pollution or waste which, although they may impact the health and safety of members of local communities, are addressed in separate categories.| |**LABORPRACTICES**|**Labor Practices** - the category addresses the company's ability to uphold commonly accepted labor standards in the workplace, including compliance with labor laws and internationally accepted norms and standards. This includes, but is not limited to, ensuring basic human rights related to child labor, forced or bonded labor, exploitative labor, fair wages and overtime pay, and other basic workers' rights. It also includes minimum wage policies and provision of benefits, which may influence how a workforce is attracted, retained, and motivated. The category further addresses a company's relationship with organized labor and freedom of association.| |**MGTOFLEGALANDREGENV**|**Management of the Legal and Regulatory Environment** - the category addresses a company's approach to engaging with regulators in cases where conflicting corporate and public interests may have the potential for long-term adverse direct or indirect environmental and social impacts. The category addresses a company's level of reliance upon regulatory policy or monetary incentives (such as subsidies and taxes), actions to influence industry policy (such as through lobbying), overall reliance on a favorable regulatory environment for business competitiveness, and ability to comply with relevant regulations. It may relate to the alignment of management and investor views of regulatory engagement and compliance at large.| |**MATSOURCINGANDEFF**|**Materials Sourcing and Efficiency** - the category addresses issues related to the resilience of materials supply chains to impacts of climate change and other external environmental and social factors. It captures the impacts of such external factors on operational activity of suppliers, which can further affect availability and pricing of key resources. It addresses a company's ability to manage these risks through product design, manufacturing, and end-of-life management, such as by using of recycled and renewable materials, reducing the use of key materials (dematerialization), maximizing resource efficiency in manufacturing, and making R&D investments in substitute materials. Additionally, companies can manage these issues by screening, selection, monitoring, and engagement with suppliers to ensure their resilience to external risks. It does not address issues associated with environmental and social externalities created by operational activity of individual suppliers, which is covered in a separate category.| |**MATERIALITY**|**Materiality** - this category represents a composite score of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| |**PHYIMPACTSOFCLIMATECHG**|**Physical Impacts of Climate Change** - the category addresses the company's ability to manage risks and opportunities associated with direct exposure of its owned or controlled assets and operations to actual or potential physical impacts of climate change. It captures environmental and social issues that may arise from operational disruptions due to physical impacts of climate change. It further captures socioeconomic issues resulting from companies failing to incorporate climate change consideration in products and services sold, such as insurance policies and mortgages. The category relates to the company's ability to adapt to increased frequency and severity of extreme weather, shifting climate, sea level risk, and other expected physical impacts of climate change. Management may involve enhancing resiliency of physical assets and/or surrounding infrastructure as well as incorporation of climate change-related considerations into key business activities (e.g., mortgage and insurance underwriting, planning and development of real estate projects).| |**PDANDLIFECYCLEMGT**|**Product Design and Lifecycle Management** - the category addresses incorporation of environmental, social, and governance (ESG) considerations in characteristics of products and services provided or sold by the company. It includes, but is not limited to, managing the lifecycle impacts of products and services, such as those related to packaging, distribution, use-phase resource intensity, and other environmental and social externalities that may occur during their use-phase or at the end of life. The category captures a company's ability to address customer and societal demand for more sustainable products and services as well as to meet evolving environmental and social regulation. It does not address direct environmental or social impacts of the company's operations nor does it address health and safety risks to consumers from product use, which are covered in other categories.| |**PRODQUALITYANDSFTY**|**Product Quality and Safety** - the category addresses issues involving unintended characteristics of products sold or services provided that may create health or safety risks to end-users. It addresses a company's ability to offer manufactured products and/or services that meet customer expectations with respect to their health and safety characteristics. It includes, but is not limited to, issues involving liability, management of recalls and market withdrawals, product testing, and chemicals/content/ ingredient management in products.| |**SELLPRACANDPRODLABEL**|**Selling Practices and Product Labeling** - the category addresses social issues that may arise from a failure to manage the transparency, accuracy, and comprehensibility of marketing statements, advertising, and labeling of products and services. It includes, but is not limited to, advertising standards and regulations, ethical and responsible marketing practices, misleading or deceptive labeling, as well as discriminatory or predatory selling and lending practices. This may include deceptive or aggressive selling practices in which incentive structures for employees could encourage the sale of products or services that are not in the best interest of customers or clients.| |**SUPPLYCHAINMGT**|**Supply Chain Management** - the category addresses management of environmental, social, and governance (ESG) risks within a company's supply chain. It addresses issues associated with environmental and social externalities created by suppliers through their operational activities. Such issues include, but are not limited to, environmental responsibility, human rights, labor practices, and ethics and corruption. Management may involve screening, selection, monitoring, and engagement with suppliers on their environmental and social impacts. The category does not address the impacts of external factors – such as climate change and other environmental and social factors – on suppliers' operations and/or on the availability and pricing of key resources, which is covered in a separate category.| |**SYSTEMICRISKMGT**|**Systemic Risk Management** - the category addresses the company's contributions to, or management of systemic risks resulting from large-scale weakening or collapse of systems upon which the economy and society depend. This includes financial systems, natural resource systems, and technological systems. It addresses the mechanisms a company has in place to reduce its contributions to systemic risks and to improve safeguards that may mitigate the impacts of systemic failure. For financial institutions, the category also captures the company's ability to absorb shocks arising from financial and economic stress and meet stricter regulatory requirements related to the complexity and interconnectedness of companies in the industry.| |**WASTEANDHZRDMATSMGT**|**Waste and Hazardous Materials Management** - the category addresses environmental issues associated with hazardous and non-hazardous waste generated by companies. It addresses a company's management of solid wastes in manufacturing, agriculture, and other industrial processes. It covers treatment, handling, storage, disposal, and regulatory compliance. The category does not cover emissions to air or wastewater, nor does it cover waste from end-of-life of products, which are addressed in separate categories.| |**WATERANDWASTEWATERMGT**|**Water and Wastewater Management** - the category addresses a company's water use, water consumption, wastewater generation, and other impacts of operations on water resources, which may be influenced by regional differences in the availability and quality of and competition for water resources. More specifically, it addresses management strategies including, but not limited to, water efficiency, intensity, and recycling. Lastly, the category also addresses management of wastewater treatment and discharge, including groundwater and aquifer pollution.| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list out all 26 in the request. *This is not the same as \"ALLCATEGORIES\" which is a single overall score for the company and returned as default.* . [optional] if omitted the server will use the default value of ["ALLCATEGORIES"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[SasbScoresResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['ids'] = \ ids return self.get_sasb_scores_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_with_http_info_async( self, ids, **kwargs ) -> "ApplyResult[typing.Tuple[SasbScoresResponse, int, typing.MutableMapping]]": """Gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] categories ([str]): The SASB Categories requested for the respective scoreType(s). The default value is **ALLCATEGORIES**, which represents all 26 categories in a single overall score. To request a specifc category or list of categories, simply input the category names below. ### SASB Categories |**SASB Category Inputs**|**Description**| |---|---| |**ALLCATEGORIES**|**All Categories** - this category represents a company's overall SASB Score for the specific 'scoreType'. This value is equal to the cumulative average of all 26 SASB categories for the specific 'scoreType'.*Note that category is not available for the Dynamic Materiality 'scoreType'. |**ACCESSANDAFFORDABILITY**|**Access and Affordability** - The category addresses a company's ability to ensure broad access to its products and services, specifically in the context of underserved markets and/or population groups. It includes the management of issues related to universal needs, such as the accessibility and affordability of health care, financial services, utilities , education, and telecommunications.| |**AIRQUALITY**|**Air Quality** - the category addresses management of air quality impacts resulting from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes) as well as industrial emissions. Relevant airborne pollutants include, but are not limited to, oxides of nitrogen (NOx), oxides of sulfur (SOx), volatile organic compounds (VOCs), heavy metals, particulate matter, and chlorofluorocarbons. The category does not include GHG emissions, which are addressed in a separate category.| |**BUSINESSETHICS**|**Business Ethics** - the category addresses the company's approach to managing risks and opportunities surrounding ethical conduct of business, including fraud, corruption, bribery and facilitation payments, fiduciary responsibilities, and other behavior that may have an ethical component. This includes sensitivity to business norms and standards as they shift over time, jurisdiction, and culture. It addresses the company's ability to provide services that satisfy the highest professional and ethical standards of the industry, which means to avoid conflicts of interest, misrepresentation, bias, and negligence through training employees adequately and implementing policies and procedures to ensure employees provide services free from bias and error.| |**BUSMODELRESILIENCE**|**Business Model Resilience** - the category addresses an industry's capacity to manage risks and opportunities associated with incorporating social, environmental, and political transitions into long-term business model planning. This includes responsiveness to the transition to a low-carbon and climate-constrained economy, as well as growth and creation of new markets among unserved and underserved socioeconomic populations. The category highlights industries in which evolving environmental and social realities may challenge companies to fundamentally adapt or may put their business models at risk.| |**COMPETITIVEBEHAVIOR**|**Competitive Behavior** - the category covers social issues associated with existence of monopolies, which may include, but are not limited to, excessive prices, poor quality of service, and inefficiencies. It addresses a company's management of legal and social expectation around monopolistic and anti-competitive practices, including issues related to bargaining power, collusion, price fixing or manipulation, and protection of patents and intellectual property (IP).| |**CRITINCIDENTRISKMGT**|**Critical Incident Risk Management** - the category addresses the company's use of management systems and scenario planning to identify, understand, and prevent or minimize the occurrence of low-probability, high-impact accidents and emergencies with significant potential environmental and social externalities. It relates to the culture of safety at a company, its relevant safety management systems and technological controls, the potential human, environmental, and social implications of such events occurring, and the long-term effects to an organization, its workers, and society should these events occur.| |**CUSTOMERPRIVACY**|**Customer Privacy** - the category addresses management of risks related to the use of personally identifiable information (PII) and other customer or user data for secondary purposes including but not limited to marketing through affiliates and non-affiliates. The scope of the category includes social issues that may arise from a company's approach to collecting data, obtaining consent (e.g., opt-in policies), managing user and customer expectations regarding how their data is used, and managing evolving regulation. It excludes social issues arising from cybersecurity risks, which are covered in a separate category.| |**CUSTWELFARE**|**Customer Welfare** - the category addresses customer welfare concerns over issues including, but not limited to, health and nutrition of foods and beverages, antibiotic use in animal production, and management of controlled substances. The category addresses the company's ability to provide consumers with manufactured products and services that are aligned with societal expectations. It does not include issues directly related to quality and safety malfunctions of manufactured products and services, but instead addresses qualities inherent to the design and delivery of products and services where customer welfare may be in question. The scope of the category also captures companies' ability to prevent counterfeit products.| |**DATASECURITY**|**Data Security** - the category addresses management of risks related to collection, retention, and use of sensitive, confidential, and/or proprietary customer or user data. It includes social issues that may arise from incidents such as data breaches in which personally identifiable information (PII) and other user or customer data may be exposed. It addresses a company's strategy, policies, and practices related to IT infrastructure, staff training, record keeping, cooperation with law enforcement, and other mechanisms used to ensure security of customer or user data.| |**ECOLOGICALIMPACTS**|**Ecological Impacts** - the category addresses management of the company's impacts on ecosystems and biodiversity through activities including, but not limited to, land use for exploration, natural resource extraction, and cultivation, as well as project development, construction, and siting. The impacts include, but are not limited to, biodiversity loss, habitat destruction, and deforestation at all stages – planning, land acquisition, permitting, development, operations, and site remediation. The category does not cover impacts of climate change on ecosystems and biodiversity.| |**EMPENGDIVANDINC**|**Employee Engagement Diversity and Inclusion** - the category addresses a company's ability to ensure that its culture and hiring and promotion practices embrace the building of a diverse and inclusive workforce that reflects the makeup of local talent pools and its customer base. It addresses the issues of discriminatory practices on the bases of race, gender, ethnicity, religion, sexual orientation, and other factors.| |**EMPHEALTHANDSAFETY**|**Employee Health and Safety** - the category addresses a company's ability to create and maintain a safe and healthy workplace environment that is free of injuries, fatalities, and illness (both chronic and acute). It is traditionally accomplished through implementing safety management plans, developing training requirements for employees and contractors, and conducting regular audits of their own practices as well as those of their subcontractors. The category further captures how companies ensure physical and mental health of workforce through technology, training, corporate culture, regulatory compliance, monitoring and testing, and personal protective equipment.| |**ENERGYMGT**|**Energy Management** - the category addresses environmental impacts associated with energy consumption. It addresses the company's management of energy in manufacturing and/or for provision of products and services derived from utility providers (grid energy) not owned or controlled by the company. More specifically, it includes management of energy efficiency and intensity, energy mix, as well as grid reliance. Upstream (e.g., suppliers) and downstream (e.g., product use) energy use is not included in the scope.| |**GHGEMISSIONS**|**Greenhouse Gas Emissions** - the category addresses direct (Scope 1) greenhouse gas (GHG) emissions that a company generates through its operations. This includes GHG emissions from stationary (e.g., factories, power plants) and mobile sources (e.g., trucks, delivery vehicles, planes), whether a result of combustion of fuel or non-combusted direct releases during activities such as natural resource extraction, power generation, land use, or biogenic processes. The category further includes management of regulatory risks, environmental compliance, and reputational risks and opportunities, as they related to direct GHG emissions. The seven GHGs covered under the Kyoto Protocol are included within the category— carbon dioxide (CO2 ), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), and nitrogen trifluoride (NF3).| |**HUMANRIGHTSANDCOMRELS**|**Human Rights and Community Relations** - the category addresses management of the relationship between businesses and the communities in which they operate, including, but not limited to, management of direct and indirect impacts on core human rights and the treatment of indigenous peoples. More specifically, such management may cover socio-economic community impacts, community engagement, environmental justice, cultivation of local workforces, impact on local businesses, license to operate, and environmental/social impact assessments. The category does not include environmental impacts such as air pollution or waste which, although they may impact the health and safety of members of local communities, are addressed in separate categories.| |**LABORPRACTICES**|**Labor Practices** - the category addresses the company's ability to uphold commonly accepted labor standards in the workplace, including compliance with labor laws and internationally accepted norms and standards. This includes, but is not limited to, ensuring basic human rights related to child labor, forced or bonded labor, exploitative labor, fair wages and overtime pay, and other basic workers' rights. It also includes minimum wage policies and provision of benefits, which may influence how a workforce is attracted, retained, and motivated. The category further addresses a company's relationship with organized labor and freedom of association.| |**MGTOFLEGALANDREGENV**|**Management of the Legal and Regulatory Environment** - the category addresses a company's approach to engaging with regulators in cases where conflicting corporate and public interests may have the potential for long-term adverse direct or indirect environmental and social impacts. The category addresses a company's level of reliance upon regulatory policy or monetary incentives (such as subsidies and taxes), actions to influence industry policy (such as through lobbying), overall reliance on a favorable regulatory environment for business competitiveness, and ability to comply with relevant regulations. It may relate to the alignment of management and investor views of regulatory engagement and compliance at large.| |**MATSOURCINGANDEFF**|**Materials Sourcing and Efficiency** - the category addresses issues related to the resilience of materials supply chains to impacts of climate change and other external environmental and social factors. It captures the impacts of such external factors on operational activity of suppliers, which can further affect availability and pricing of key resources. It addresses a company's ability to manage these risks through product design, manufacturing, and end-of-life management, such as by using of recycled and renewable materials, reducing the use of key materials (dematerialization), maximizing resource efficiency in manufacturing, and making R&D investments in substitute materials. Additionally, companies can manage these issues by screening, selection, monitoring, and engagement with suppliers to ensure their resilience to external risks. It does not address issues associated with environmental and social externalities created by operational activity of individual suppliers, which is covered in a separate category.| |**MATERIALITY**|**Materiality** - this category represents a composite score of all 'material' SASB categories for the given entity. For more information on SASB's Materiality Map, visit [materiality.sasb.org](https://materiality.sasb.org/)| |**PHYIMPACTSOFCLIMATECHG**|**Physical Impacts of Climate Change** - the category addresses the company's ability to manage risks and opportunities associated with direct exposure of its owned or controlled assets and operations to actual or potential physical impacts of climate change. It captures environmental and social issues that may arise from operational disruptions due to physical impacts of climate change. It further captures socioeconomic issues resulting from companies failing to incorporate climate change consideration in products and services sold, such as insurance policies and mortgages. The category relates to the company's ability to adapt to increased frequency and severity of extreme weather, shifting climate, sea level risk, and other expected physical impacts of climate change. Management may involve enhancing resiliency of physical assets and/or surrounding infrastructure as well as incorporation of climate change-related considerations into key business activities (e.g., mortgage and insurance underwriting, planning and development of real estate projects).| |**PDANDLIFECYCLEMGT**|**Product Design and Lifecycle Management** - the category addresses incorporation of environmental, social, and governance (ESG) considerations in characteristics of products and services provided or sold by the company. It includes, but is not limited to, managing the lifecycle impacts of products and services, such as those related to packaging, distribution, use-phase resource intensity, and other environmental and social externalities that may occur during their use-phase or at the end of life. The category captures a company's ability to address customer and societal demand for more sustainable products and services as well as to meet evolving environmental and social regulation. It does not address direct environmental or social impacts of the company's operations nor does it address health and safety risks to consumers from product use, which are covered in other categories.| |**PRODQUALITYANDSFTY**|**Product Quality and Safety** - the category addresses issues involving unintended characteristics of products sold or services provided that may create health or safety risks to end-users. It addresses a company's ability to offer manufactured products and/or services that meet customer expectations with respect to their health and safety characteristics. It includes, but is not limited to, issues involving liability, management of recalls and market withdrawals, product testing, and chemicals/content/ ingredient management in products.| |**SELLPRACANDPRODLABEL**|**Selling Practices and Product Labeling** - the category addresses social issues that may arise from a failure to manage the transparency, accuracy, and comprehensibility of marketing statements, advertising, and labeling of products and services. It includes, but is not limited to, advertising standards and regulations, ethical and responsible marketing practices, misleading or deceptive labeling, as well as discriminatory or predatory selling and lending practices. This may include deceptive or aggressive selling practices in which incentive structures for employees could encourage the sale of products or services that are not in the best interest of customers or clients.| |**SUPPLYCHAINMGT**|**Supply Chain Management** - the category addresses management of environmental, social, and governance (ESG) risks within a company's supply chain. It addresses issues associated with environmental and social externalities created by suppliers through their operational activities. Such issues include, but are not limited to, environmental responsibility, human rights, labor practices, and ethics and corruption. Management may involve screening, selection, monitoring, and engagement with suppliers on their environmental and social impacts. The category does not address the impacts of external factors – such as climate change and other environmental and social factors – on suppliers' operations and/or on the availability and pricing of key resources, which is covered in a separate category.| |**SYSTEMICRISKMGT**|**Systemic Risk Management** - the category addresses the company's contributions to, or management of systemic risks resulting from large-scale weakening or collapse of systems upon which the economy and society depend. This includes financial systems, natural resource systems, and technological systems. It addresses the mechanisms a company has in place to reduce its contributions to systemic risks and to improve safeguards that may mitigate the impacts of systemic failure. For financial institutions, the category also captures the company's ability to absorb shocks arising from financial and economic stress and meet stricter regulatory requirements related to the complexity and interconnectedness of companies in the industry.| |**WASTEANDHZRDMATSMGT**|**Waste and Hazardous Materials Management** - the category addresses environmental issues associated with hazardous and non-hazardous waste generated by companies. It addresses a company's management of solid wastes in manufacturing, agriculture, and other industrial processes. It covers treatment, handling, storage, disposal, and regulatory compliance. The category does not cover emissions to air or wastewater, nor does it cover waste from end-of-life of products, which are addressed in separate categories.| |**WATERANDWASTEWATERMGT**|**Water and Wastewater Management** - the category addresses a company's water use, water consumption, wastewater generation, and other impacts of operations on water resources, which may be influenced by regional differences in the availability and quality of and competition for water resources. More specifically, it addresses management strategies including, but not limited to, water efficiency, intensity, and recycling. Lastly, the category also addresses management of wastewater treatment and discharge, including groundwater and aquifer pollution.| ### Helper Input **ALL** = Simply gives the ability to request all categories in a single request without having to explicitly list out all 26 in the request. *This is not the same as \"ALLCATEGORIES\" which is a single overall score for the company and returned as default.* . [optional] if omitted the server will use the default value of ["ALLCATEGORIES"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(SasbScoresResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['ids'] = \ ids return self.get_sasb_scores_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all( self, ids, **kwargs ) -> SasbScoresAllResponse: """Gets a flat key value array of scores for named categories of the input scoreType(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresAllResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['ids'] = \ ids return self.get_sasb_scores_all_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all_with_http_info( self, ids, **kwargs ) -> typing.Tuple[SasbScoresAllResponse, int, typing.MutableMapping]: """Gets a flat key value array of scores for named categories of the input scoreType(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresAllResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['ids'] = \ ids return self.get_sasb_scores_all_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all_async( self, ids, **kwargs ) -> "ApplyResult[SasbScoresAllResponse]": """Gets a flat key value array of scores for named categories of the input scoreType(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[SasbScoresAllResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['ids'] = \ ids return self.get_sasb_scores_all_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all_with_http_info_async( self, ids, **kwargs ) -> "ApplyResult[typing.Tuple[SasbScoresAllResponse, int, typing.MutableMapping]]": """Gets a flat key value array of scores for named categories of the input scoreType(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: ids ([str]): Security or Entity identifiers. FactSet Identifiers, tickers, CUSIP, SEDOL, and ISIN are accepted inputs. ***ids limit** = 1000 per request* *Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids, which may exceed this request line limit of 8KB, its advised for any requests with large request lines to be requested through the respective \"POST\" method.* Keyword Args: score_types ([str]): The FactSet Truvalue Score types being requested. Score Types include the Pulse, Insight, Momentum, Article Volume, Category Volume, Dynamic Materiality Score, Adjusted Insight, and Industry Percentile. When left blank all score types will be returned for the requested Id. To specify select scores returned in the response, provide a comma-separated list of the scores using the description below. These scores use the same underlying data and 100-point scale, except for ranks and percentiles. The cognitive computing system behind FactSet's Truvalue Platform uses natural language processing to interpret semantic content and generate analytics. It does so by applying criteria that are consistent with established sustainability and ESG frameworks, scoring data points on performance using a 0 to 100 scale. A score of 50 represents a neutral impact. Scores above 50 indicate positive performance, and scores below reflect negative performance. ### ESG Score Types |**SASB Category Input**|**Description**| |---|---| |**PULSE**|*Pulse Score*, is a measure of near-term performance changes that highlights opportunities and controversies, enabling real-time monitoring of companies. It focuses on events of the day and provides a responsive signal to alert investors to dynamic moves.| |**INSIGHT**|*Insight Score*, a measure of a company’s longer-term ESG track record, similar to a ratings system. Scores are less sensitive to daily events and reflect the enduring performance record of a company over time. Scores are derived using an exponentially-weighted moving average of the Pulse, defined below, and the half-life of an event’s influence on the overall score is 6 months.| |**MOMENTUM**|*Momentum Score*, measures the trend of a company's Insight score. It is a unique ESG metric in the industry that gives investors a high-precision view of the trajectory of a company’s ESG performance, relative to peers. It does so by precisely articulating upward or downward movement, relative to that of all others in the universe, making it a measure that enhances quantitative workflows.| |**ART_VOL_TTM**|*Article Volume Score*, measures the information flow or number of articles about a company over the past 12 months.| |**CAT_VOL_TTM**|*Category Volume Score*, returns the total number of times any of the 26 categories received a score over a trailing twelve-month (TTM) period of time.| |**DYNAMIC_MAT**|*Dynamic Materiality Score*, shows the percentage value of data flow by category compared with the total data flow for the organization **(NOT VALID for `ALLCATEGORIES` and `MATERIALITY` category types).**| |**ADJ_INSIGHT**|*Adjusted Insight*, Measures company ESG performance, generating scores for lower-volume and zero-volume firms by blending company scores with industry medians. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories). **Adjusted Insight Score = (# of articles / 5) x Company Insight Score + ((5 - # of articles) / 5) x Industry (or Sector) Median Insight Score.| |**IND_PCTL**|*Industry Percentile*, offers context on company Adjusted Insight scores relative to peers in the same SICS Industry. This value is used to establish the textual ESG Rank. **(ONLY Vaild for `ALLCATEGORIES` and `MATERIALITY` categories).**| ### Helper Input **ALL**= *Ability to fetch all of the \"scoreTypes\" listed above in a simplified query.* This is used by default and removes the need to explitly request each scoreType in the list. . [optional] if omitted the server will use the default value of ["ALL"] start_date (str): The start date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] end_date (str): The end date requested for a given date range in **YYYY-MM-DD** format. If left blank, the API will default to latest available completed period. . [optional] frequency (str): Controls the display frequency of the data returned. * **D** = Daily * **W** = Weekly, based on the last day of the week of the start date. * **M** = Monthly, based on the last trading day of the month. * **CY** = Calendar Annual, based on the last trading day of the calendar year. . [optional] if omitted the server will use the default value of "D" _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(SasbScoresAllResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['ids'] = \ ids return self.get_sasb_scores_all_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all_post( self, sasb_scores_all_request, **kwargs ) -> SasbScoresAllResponse: """Gets a flat key value array of scores for named categories of the input score type(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: sasb_scores_all_request (SasbScoresAllRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresAllResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['sasb_scores_all_request'] = \ sasb_scores_all_request return self.get_sasb_scores_all_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all_post_with_http_info( self, sasb_scores_all_request, **kwargs ) -> typing.Tuple[SasbScoresAllResponse, int, typing.MutableMapping]: """Gets a flat key value array of scores for named categories of the input score type(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: sasb_scores_all_request (SasbScoresAllRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresAllResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['sasb_scores_all_request'] = \ sasb_scores_all_request return self.get_sasb_scores_all_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all_post_async( self, sasb_scores_all_request, **kwargs ) -> "ApplyResult[SasbScoresAllResponse]": """Gets a flat key value array of scores for named categories of the input score type(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: sasb_scores_all_request (SasbScoresAllRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[SasbScoresAllResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['sasb_scores_all_request'] = \ sasb_scores_all_request return self.get_sasb_scores_all_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_all_post_with_http_info_async( self, sasb_scores_all_request, **kwargs ) -> "ApplyResult[typing.Tuple[SasbScoresAllResponse, int, typing.MutableMapping]]": """Gets a flat key value array of scores for named categories of the input score type(s). # noqa: E501 **Retrieves a flat array of all categories for the requested scoreType and ids. Unlike the /sasb-scores endpoint the format of the response returns category names as part of the key value.** Gets values for all categories for the selected score type(s) for the requested identifier(s). FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. ESG Ranks are not supported in this Endpoint. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: sasb_scores_all_request (SasbScoresAllRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(SasbScoresAllResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['sasb_scores_all_request'] = \ sasb_scores_all_request return self.get_sasb_scores_all_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_post( self, sasb_scores_request, **kwargs ) -> SasbScoresResponse: """For a large list of ids, gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a synchronous HTTP request. Returns the http data only Args: sasb_scores_request (SasbScoresRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresResponse Response Object """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False) kwargs['sasb_scores_request'] = \ sasb_scores_request return self.get_sasb_scores_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_post_with_http_info( self, sasb_scores_request, **kwargs ) -> typing.Tuple[SasbScoresResponse, int, typing.MutableMapping]: """For a large list of ids, gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a synchronous HTTP request. Returns http data, http status and headers Args: sasb_scores_request (SasbScoresRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: SasbScoresResponse Response Object int Http Status Code dict Dictionary of the response headers """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False) kwargs['sasb_scores_request'] = \ sasb_scores_request return self.get_sasb_scores_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_post_async( self, sasb_scores_request, **kwargs ) -> "ApplyResult[SasbScoresResponse]": """For a large list of ids, gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult Args: sasb_scores_request (SasbScoresRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[SasbScoresResponse] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True) kwargs['sasb_scores_request'] = \ sasb_scores_request return self.get_sasb_scores_post_endpoint.call_with_http_info(**kwargs) def get_sasb_scores_post_with_http_info_async( self, sasb_scores_request, **kwargs ) -> "ApplyResult[typing.Tuple[SasbScoresResponse, int, typing.MutableMapping]]": """For a large list of ids, gets short-term, long-term, and momentum scores based on the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB). # noqa: E501 FactSet Truvalue Labs SASB Scores provides short-term, long-term, and momentum scores that are generated for 26 ESG categories defined by the Sustainability Accounting Standards Board. FactSet Truvalue also calculates a custom overall score called ALLCATEGORIES, can indicate data volume flow, and the Dynamic Materiality of that data flow. # noqa: E501 This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult Args: sasb_scores_request (SasbScoresRequest): The SASB Scores request body, allowing the user to specify a list of ids, SASB Score Items, SASB categories, date range, and frequency. Keyword Args: _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. Returns: ApplyResult[(SasbScoresResponse, int, typing.Dict)] """ self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True) kwargs['sasb_scores_request'] = \ sasb_scores_request return self.get_sasb_scores_post_endpoint.call_with_http_info(**kwargs)

124.237984

19,271

0.714749

28,089

211,950

5.345901

0.043184

0.006626

0.014385

0.006073

0.986328

0.984117

0.983398

0.981353

0.979629

0.979369

0

0.005552

0.225015

211,950

1,705

19,272

124.31085

0.908528

0.843095

0

0.766017

0

0.164081

0.044084

0

1

0.036212

false

0

0.019499

0

0.090529

0

null

0

1

0

1

0

1

0

1

0

null

0

10

f97c94fa5000091ea34ef5d313937ccb4f66a9e6

114

py

Python

terrascript/oneandone/d.py

GarnerCorp/python-terrascript

ec6c2d9114dcd3cb955dd46069f8ba487e320a8c

[ "BSD-2-Clause" ]

null

terrascript/oneandone/d.py

GarnerCorp/python-terrascript

ec6c2d9114dcd3cb955dd46069f8ba487e320a8c

[ "BSD-2-Clause" ]

null

terrascript/oneandone/d.py

GarnerCorp/python-terrascript

ec6c2d9114dcd3cb955dd46069f8ba487e320a8c

[ "BSD-2-Clause" ]

1

2018-11-15T16:23:05.000Z

from terrascript import _data class oneandone_instance_size(_data): pass instance_size = oneandone_instance_size

22.8

42

0.868421

15

114

6.133333

0.6

0.391304

0.456522

0

0.096491

114

4

43

28.5

0.893204

0

1

0

false

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

f98198e4138a60b1744259ab00319f06ce3e021b

4,855

py

Python

TestIncluder.py

ytyaru/Python.pylangstudy.SourceCode.Include.201705220754

b044c7d003ed2f3da7d1d94215d2704c01261e4f

[ "CC0-1.0" ]

null

TestIncluder.py

ytyaru/Python.pylangstudy.SourceCode.Include.201705220754

b044c7d003ed2f3da7d1d94215d2704c01261e4f

[ "CC0-1.0" ]

null

TestIncluder.py

ytyaru/Python.pylangstudy.SourceCode.Include.201705220754

b044c7d003ed2f3da7d1d94215d2704c01261e4f

[ "CC0-1.0" ]

null

import unittest import os.path import Includer class TestIncluder(unittest.TestCase): # def __init__(self): # pass def test_plus2plus(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [3, 6] answer = """class MyClass(object): def __init__(self): pass def Show(self):""" text = c.Include(path, lines=lines) self.assertEqual(text, answer) def test_all_none(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = None answer = """#!python3 #encoding: utf-8 class MyClass(object): def __init__(self): pass def Show(self): print('this is MyClass.') if __name__ == '__main__': c = MyClass() c.Show() """ text = c.Include(path, lines=lines) self.assertEqual(text, answer) def test_all_zero(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [0, 0] answer = """#!python3 #encoding: utf-8 class MyClass(object): def __init__(self): pass def Show(self): print('this is MyClass.') if __name__ == '__main__': c = MyClass() c.Show() """ text = c.Include(path, lines=lines) self.assertEqual(text, answer) def test_0_m5(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [0, -5] answer = """#!python3 #encoding: utf-8 class MyClass(object): def __init__(self): pass def Show(self): print('this is MyClass.')""" text = c.Include(path, lines=lines) self.assertEqual(text, answer) def test_5_2(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [5, 2] with self.assertRaises(Exception) as e: text = c.Include(path, lines=lines) self.assertEqual(e.msg, '引数linesは左辺値 <= 右辺値である必要があります。') def test_5_m2(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [5, -2] answer = """ pass def Show(self): print('this is MyClass.') if __name__ == '__main__':""" text = c.Include(path, lines=lines) self.assertEqual(text, answer) def test_m5_2(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [-5, 2] with self.assertRaises(Exception) as e: text = c.Include(path, lines=lines) self.assertEqual(e.msg, '引数linesは左辺値 <= 右辺値である必要があります。') def test_m7_m2(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [-7, -2] answer = """ pass def Show(self): print('this is MyClass.') if __name__ == '__main__':""" text = c.Include(path, lines=lines) self.assertEqual(text, answer) def test_7(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [7] with self.assertRaises(Exception) as e: text = c.Include(path, lines=lines) self.assertEqual(e.msg, '引数linesはlist型で[start, end]の2つの整数値を指定してください。0を指定するとstartは1, endは最終行数になります。負数を指定すると末尾からの行数です。-1なら最終行-1行目を指定します。') def test_none_none(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [None, None] with self.assertRaises(Exception) as e: text = c.Include(path, lines=lines) self.assertEqual(e.msg, '引数linesはlist型で[start, end]の2つの整数値を指定してください。0を指定するとstartは1, endは最終行数になります。負数を指定すると末尾からの行数です。-1なら最終行-1行目を指定します。') def test_1_none(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [1, None] with self.assertRaises(Exception) as e: text = c.Include(path, lines=lines) self.assertEqual(e.msg, '引数linesはlist型で[start, end]の2つの整数値を指定してください。0を指定するとstartは1, endは最終行数になります。負数を指定すると末尾からの行数です。-1なら最終行-1行目を指定します。') def test_none_8(self): c = Includer.Includer() path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '0.py') lines = [None, 8] with self.assertRaises(Exception) as e: text = c.Include(path, lines=lines) self.assertEqual(e.msg, '引数linesはlist型で[start, end]の2つの整数値を指定してください。0を指定するとstartは1, endは最終行数になります。負数を指定すると末尾からの行数です。-1なら最終行-1行目を指定します。')

33.253425

148

0.60206

605

4,855

4.629752

0.115702

0.079257

0.055694

0.089968

0.9593

0.952874

0

0.018987

0.251493

4,855

145

149

33.482759

0.751789

0.006385

0

0.747967

0

0.281711

0.088852

0

0.146341

1

0.097561

false

0.04878

0.02439

0

0.130081

0.04065

0

null

0

1

0

1

0

null

0

7

ddfd83c4c16b62c8ccd45fc7a9f3be80a4eae0b6

9,593

py

Python

tests/test_voting_classifier.py

wellcometrust/WellcomeML

f7f5427f6dfdc6e5ee1342764263c6411e0f9bdf

[ "MIT" ]

29

2020-01-31T17:05:38.000Z

2021-12-14T14:17:55.000Z

tests/test_voting_classifier.py

wellcometrust/WellcomeML

f7f5427f6dfdc6e5ee1342764263c6411e0f9bdf

[ "MIT" ]

342

2020-02-05T10:40:43.000Z

2022-03-17T19:50:23.000Z

tests/test_voting_classifier.py

wellcometrust/WellcomeML

f7f5427f6dfdc6e5ee1342764263c6411e0f9bdf

[ "MIT" ]

9

2020-06-07T17:01:00.000Z

2021-11-24T16:03:38.000Z

import numpy as np from sklearn.pipeline import Pipeline from wellcomeml.ml.voting_classifier import WellcomeVotingClassifier class MockEstimator(): def __init__(self, Y_prob, multilabel=False): self.fittted_ = True self.Y_prob = Y_prob self.multilabel = multilabel self.Y = self.get_Y() def get_Y(self): if self.multilabel: Y = self.Y_prob > 0.5 return Y.astype(int) else: Y = np.argmax(self.Y_prob, axis=1) return Y def fit(self, X, Y): pass def predict(self, X): return self.Y def predict_proba(self, X): return self.Y_prob class MockVectorizer(): def __init__(self, size): self.size = size def fit(self, X): pass def transform(self, X): return np.random.rand(len(X), self.size) def test_multilabel(): Y1_prob = np.array([ [0.9, 0.5], [0.2, 0.8], [0.3, 0.9] ]) Y2_prob = np.array([ [0.7, 0.6], [0.6, 0.5], [0.4, 0.3] ]) Y_expected = np.array([ [1, 1], [0, 1], [0, 1] ]) est1 = MockEstimator(Y1_prob, multilabel=True) est2 = MockEstimator(Y2_prob, multilabel=True) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2], voting="soft", multilabel=True ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_binary(): Y1_prob = np.array([ [0.9, 0.1], [0.2, 0.8], [0.3, 0.7] ]) Y2_prob = np.array([ [0.7, 0.3], [0.9, 0.1], [0.4, 0.6] ]) Y_expected = np.array([ 0, 0, 1 ]) est1 = MockEstimator(Y1_prob) est2 = MockEstimator(Y2_prob) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2], voting="soft" ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_multiclass(): Y1_prob = np.array([ [0.6, 0.1, 0.1, 0.2], [0.2, 0.3, 0.1, 0.4], [0.3, 0.1, 0.4, 0.2] ]) Y2_prob = np.array([ [0.5, 0.3, 0.2, 0.0], [0.1, 0.6, 0.1, 0.2], [0.1, 0.3, 0.1, 0.5] ]) Y_expected = np.array([ 0, 1, 3 ]) est1 = MockEstimator(Y1_prob) est2 = MockEstimator(Y2_prob) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2], voting="soft" ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_binary_hard_odd(): Y1_prob = np.array([ [0.9, 0.1], [0.2, 0.8], [0.3, 0.7] ]) Y2_prob = np.array([ [0.7, 0.3], [0.9, 0.1], [0.4, 0.6] ]) Y3_prob = np.array([ [0.3, 0.7], [0.8, 0.2], [0.4, 0.6] ]) Y_expected = np.array([ 0, 0, 1 ]) est1 = MockEstimator(Y1_prob) est2 = MockEstimator(Y2_prob) est3 = MockEstimator(Y3_prob) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2, est3] ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_binary_hard_even(): Y1_prob = np.array([ [0.9, 0.1], [0.9, 0.1], [0.9, 0.1] ]) Y2_prob = np.array([ [0.8, 0.2], [0.8, 0.2], [0.2, 0.8] ]) Y3_prob = np.array([ [0.7, 0.3], [0.3, 0.7], [0.3, 0.7] ]) Y4_prob = np.array([ [0.4, 0.6], [0.4, 0.6], [0.4, 0.6] ]) Y_expected = np.array([ 0, 0, 1 ]) est1 = MockEstimator(Y1_prob) est2 = MockEstimator(Y2_prob) est3 = MockEstimator(Y3_prob) est4 = MockEstimator(Y4_prob) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2, est3, est4], voting="hard" ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_multilabel_hard(): # Since no num_agree, majority (>=2/3) agreement needed Y1_prob = np.array([ [0.9, 0.9], [0.1, 0.9], [0.1, 0.9] ]) Y2_prob = np.array([ [0.9, 0.9], [0.9, 0.9], [0.1, 0.1] ]) Y3_prob = np.array([ [0.9, 0.9], [0.9, 0.1], [0.1, 0.1] ]) Y_expected = np.array([ [1, 1], [1, 1], [0, 0] ]) est1 = MockEstimator(Y1_prob, multilabel=True) est2 = MockEstimator(Y2_prob, multilabel=True) est3 = MockEstimator(Y3_prob, multilabel=True) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2, est3], voting="hard", multilabel=True ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_multilabel_hard_num_agree(): # >=3/3 agreement needed Y1_prob = np.array([ [0.9, 0.9], [0.1, 0.9], [0.1, 0.9] ]) Y2_prob = np.array([ [0.9, 0.9], [0.9, 0.9], [0.1, 0.1] ]) Y3_prob = np.array([ [0.9, 0.9], [0.9, 0.1], [0.1, 0.1] ]) Y_expected = np.array([ [1, 1], [0, 0], [0, 0] ]) est1 = MockEstimator(Y1_prob, multilabel=True) est2 = MockEstimator(Y2_prob, multilabel=True) est3 = MockEstimator(Y3_prob, multilabel=True) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2, est3], voting="hard", multilabel=True, num_agree=3 ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_binary_hard_num_agree(): Y1_prob = np.array([ [0.9, 0.1], [0.9, 0.1], [0.9, 0.1] ]) Y2_prob = np.array([ [0.8, 0.2], [0.8, 0.2], [0.2, 0.8] ]) Y3_prob = np.array([ [0.7, 0.3], [0.3, 0.7], [0.3, 0.7] ]) Y4_prob = np.array([ [0.4, 0.6], [0.4, 0.6], [0.4, 0.6] ]) Y_expected = np.array([ 0, 0, 1 ]) est1 = MockEstimator(Y1_prob) est2 = MockEstimator(Y2_prob) est3 = MockEstimator(Y3_prob) est4 = MockEstimator(Y4_prob) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2, est3, est4], voting="hard", num_agree=2 ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_multiclass_hard(): Y1_prob = np.array([ [0.6, 0.1, 0.1, 0.2], [0.2, 0.3, 0.1, 0.4], [0.3, 0.1, 0.4, 0.2] ]) Y2_prob = np.array([ [0.5, 0.3, 0.2, 0.0], [0.1, 0.6, 0.1, 0.2], [0.1, 0.3, 0.1, 0.5] ]) Y3_prob = np.array([ [0.5, 0.3, 0.2, 0.0], [0.2, 0.3, 0.1, 0.4], [0.1, 0.5, 0.1, 0.3] ]) # Using highest values: # 1st data point: 0: 3 votes -> clear winner is 0 # 2nd data point: 1: 1 vote, 3: 2 votes -> clear winner (in majority voting) is 3 # 3rd data point: 2: 1 vote, 3: 1 vote, 1: 1 vote -> no winner, pick first in numerical order, so 1 # noqa Y_expected = np.array([ 0, 3, 1 ]) est1 = MockEstimator(Y1_prob) est2 = MockEstimator(Y2_prob) est3 = MockEstimator(Y3_prob) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2, est3], voting="hard" ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_multiclass_hard_num_agree(): Y1_prob = np.array([ [0.6, 0.1, 0.1, 0.2], [0.2, 0.3, 0.1, 0.4], [0.3, 0.1, 0.4, 0.2] ]) Y2_prob = np.array([ [0.5, 0.3, 0.2, 0.0], [0.1, 0.6, 0.1, 0.2], [0.1, 0.3, 0.1, 0.5] ]) Y3_prob = np.array([ [0.5, 0.3, 0.2, 0.0], [0.2, 0.3, 0.1, 0.4], [0.1, 0.5, 0.1, 0.3] ]) # Using highest values: # 1st data point: 0: 3 votes -> clear winner is 0 # 2nd data point: 1: 1 vote, 3: 2 votes -> no winner, pick first in numerical order, so 1 # 3rd data point: 2: 1 vote, 3: 1 vote, 1: 1 vote -> no winner, pick first in numerical order, so 1 # noqa Y_expected = np.array([ 0, 1, 1 ]) est1 = MockEstimator(Y1_prob) est2 = MockEstimator(Y2_prob) est3 = MockEstimator(Y3_prob) voting_classifier = WellcomeVotingClassifier( estimators=[est1, est2, est3], voting="hard", num_agree=3 ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected) def test_inc_vectorizer(): Y1_prob = np.array([ [0.9, 0.1], [0.2, 0.8], [0.3, 0.7] ]) Y2_prob = np.array([ [0.7, 0.3], [0.9, 0.1], [0.4, 0.6] ]) Y_expected = np.array([ 0, 0, 1 ]) pipe1 = Pipeline([('vect', MockVectorizer(size=3)), ('est', MockEstimator(Y1_prob))]) pipe2 = Pipeline([('vect', MockVectorizer(size=5)), ('est', MockEstimator(Y2_prob))]) voting_classifier = WellcomeVotingClassifier( estimators=[pipe1, pipe2], voting="soft" ) X = ["mock", "data", "not used"] Y = voting_classifier.predict(X) assert np.array_equal(Y, Y_expected)

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Python

stimping/migrations/0002_auto_20180507_0422.py

mkschu/greensManagerDjango

842f6cc0e5bc9fa5f36e5d996960900886d3370a

[ "Apache-2.0" ]

null

stimping/migrations/0002_auto_20180507_0422.py

mkschu/greensManagerDjango

842f6cc0e5bc9fa5f36e5d996960900886d3370a

[ "Apache-2.0" ]

null

stimping/migrations/0002_auto_20180507_0422.py

mkschu/greensManagerDjango

842f6cc0e5bc9fa5f36e5d996960900886d3370a

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.12 on 2018-05-07 09:22 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('stimping', '0001_initial'), ] operations = [ migrations.AlterField( model_name='stimp', name='adj_speed', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='backward1', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='backward2', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='backward3', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='backwardAvg', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='forward1', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='forward2', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='forward3', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='forwardAvg', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='left1', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='left2', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='left3', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='leftAvg', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='mu_k', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='raw_speed', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='right1', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='right2', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='right3', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='stimp', name='rightAvg', field=models.FloatField(), ), migrations.AlterField( model_name='stimp', name='stdDev', field=models.FloatField(), ), ]

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Python

packages/gtmapi/lmsrvlabbook/tests/test_dataloader_package.py

gigabackup/gigantum-client

70fe6b39b87b1c56351f2b4c551b6f1693813e4f

[ "MIT" ]

60

2018-09-26T15:46:00.000Z

2021-10-10T02:37:14.000Z

packages/gtmapi/lmsrvlabbook/tests/test_dataloader_package.py

gigabackup/gigantum-client

70fe6b39b87b1c56351f2b4c551b6f1693813e4f

[ "MIT" ]

1,706

2018-09-26T16:11:22.000Z

2021-08-20T13:37:59.000Z

packages/gtmapi/lmsrvlabbook/tests/test_dataloader_package.py

griffinmilsap/gigantum-client

70fe6b39b87b1c56351f2b4c551b6f1693813e4f

[ "MIT" ]

11

2019-03-14T13:23:51.000Z

2022-01-25T01:29:16.000Z

from gtmcore.environment.packagemanager import PackageMetadata from lmsrvlabbook.tests.fixtures import fixture_working_dir, build_image_for_jupyterlab from promise import Promise from lmsrvlabbook.dataloader.package import PackageDataloader class TestDataloaderPackage(object): def test_load_one_pip(self, build_image_for_jupyterlab): """Test loading 1 package""" key = "pip&gtmunit1" lb, username = build_image_for_jupyterlab[0], build_image_for_jupyterlab[5] loader = PackageDataloader([key], lb, username) promise1 = loader.load(key) assert isinstance(promise1, Promise) pkg = promise1.get() assert isinstance(pkg, PackageMetadata) is True assert pkg.description == 'Package 1 for Gigantum Client unit testing.' assert pkg.docs_url == 'https://github.com/gigantum/gigantum-client' assert pkg.latest_version == '0.12.4' def test_load_many_apt(self, build_image_for_jupyterlab): lb, username = build_image_for_jupyterlab[0], build_image_for_jupyterlab[5] keys = ["apt&curl", "apt&vim"] loader = PackageDataloader(keys, lb, username) promise1 = loader.load_many(keys) assert isinstance(promise1, Promise) version_list = promise1.get() assert len(version_list) == 2 assert isinstance(version_list[0], PackageMetadata) is True assert 'ubuntu' in version_list[0].latest_version assert version_list[0].description == 'command line tool for transferring data with URL syntax' assert version_list[0].docs_url is None assert version_list[0].package == 'curl' assert version_list[0].package_manager == 'apt' assert 'ubuntu' in version_list[1].latest_version assert version_list[1].description == 'Vi IMproved - enhanced vi editor' assert version_list[1].docs_url is None assert version_list[1].package == 'vim' assert version_list[1].package_manager == 'apt' def test_load_many_pip(self, build_image_for_jupyterlab): """Test loading many labbooks""" lb, username = build_image_for_jupyterlab[0], build_image_for_jupyterlab[5] keys = ["pip&gtmunit1", "pip&gtmunit2", "pip&gtmunit3"] loader = PackageDataloader(keys, lb, username) promise1 = loader.load_many(keys) assert isinstance(promise1, Promise) version_list = promise1.get() assert len(version_list) == 3 assert isinstance(version_list[0], PackageMetadata) is True # Note, all the gtmunit packages were pushed with the same description, so this is correct. assert version_list[0].latest_version == "0.12.4" assert version_list[0].description == 'Package 1 for Gigantum Client unit testing.' assert version_list[0].docs_url == 'https://github.com/gigantum/gigantum-client' assert version_list[1].latest_version == "12.2" assert version_list[1].description == 'Package 1 for Gigantum Client unit testing.' assert version_list[1].docs_url == 'https://github.com/gigantum/gigantum-client' assert version_list[2].latest_version == "5.0" assert version_list[2].description == 'Package 1 for Gigantum Client unit testing.' assert version_list[2].docs_url == 'https://github.com/gigantum/gigantum-client' def test_load_many_conda(self, build_image_for_jupyterlab): """Test loading many conda3 packages""" lb, username = build_image_for_jupyterlab[0], build_image_for_jupyterlab[5] keys = ["conda3&cdutil", "conda3&python-coveralls", "conda3&nltk", "conda3&asdfasdffghdfdasfgh"] loader = PackageDataloader(keys, lb, username) promise1 = loader.load_many(keys) assert isinstance(promise1, Promise) version_list = promise1.get() assert len(version_list) == 4 assert version_list[0].latest_version == "8.2.1" assert version_list[0].description == 'A set of tools to manipulate climate data' assert version_list[0].docs_url == 'http://anaconda.org/conda-forge/cdutil' assert version_list[1].latest_version == "2.9.3" assert version_list[1].description == 'Python interface to coveralls.io API\\n' assert version_list[1].docs_url == 'http://anaconda.org/conda-forge/python-coveralls' assert version_list[2].latest_version == "3.6.2" assert version_list[2].description == 'Natural Language Toolkit' assert version_list[2].docs_url == 'http://www.nltk.org/' assert version_list[3].latest_version is None assert version_list[3].description is None assert version_list[3].docs_url is None def test_load_many_conda2(self, build_image_for_jupyterlab): """Test loading many conda2 packages""" lb, username = build_image_for_jupyterlab[0], build_image_for_jupyterlab[5] keys = ["conda2&cdutil", "conda2&python-coveralls", "conda2&nltk"] loader = PackageDataloader(keys, lb, username) promise1 = loader.load_many(keys) assert isinstance(promise1, Promise) version_list = promise1.get() assert len(version_list) == 3 assert version_list[0].latest_version == "8.2.1" assert version_list[0].description == 'A set of tools to manipulate climate data' assert version_list[0].docs_url == 'http://anaconda.org/conda-forge/cdutil' assert version_list[1].latest_version == "2.9.3" assert version_list[1].description == 'Python interface to coveralls.io API\\n' assert version_list[1].docs_url == 'http://anaconda.org/conda-forge/python-coveralls' assert version_list[2].latest_version == "3.6.2" assert version_list[2].description == 'Natural Language Toolkit' assert version_list[2].docs_url == 'http://www.nltk.org/' def test_load_many_mixed(self, build_image_for_jupyterlab): """Test loading many labbooks""" lb, username = build_image_for_jupyterlab[0], build_image_for_jupyterlab[5] keys = ["conda3&cdutil", "pip&gtmunit1", "pip&gtmunit2", "conda3&nltk", 'apt&curl'] loader = PackageDataloader(keys, lb, username) promise1 = loader.load_many(keys) assert isinstance(promise1, Promise) version_list = promise1.get() assert len(version_list) == 5 assert version_list[0].latest_version == "8.2.1" assert version_list[0].description == 'A set of tools to manipulate climate data' assert version_list[0].docs_url == 'http://anaconda.org/conda-forge/cdutil' assert version_list[1].latest_version == '0.12.4' assert version_list[1].description == 'Package 1 for Gigantum Client unit testing.' assert version_list[1].docs_url == 'https://github.com/gigantum/gigantum-client' assert version_list[2].latest_version == '12.2' assert version_list[2].description == 'Package 1 for Gigantum Client unit testing.' assert version_list[2].docs_url == 'https://github.com/gigantum/gigantum-client' assert version_list[3].latest_version == '3.6.2' assert version_list[3].description == 'Natural Language Toolkit' assert version_list[3].docs_url == 'http://www.nltk.org/' assert version_list[4].latest_version is not None assert version_list[4].description == 'command line tool for transferring data with URL syntax' assert version_list[4].docs_url is None

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34df00bfbdda90a9269776a56618b5a97c083025

4,338

py

Python

code/Networks.py

danielrenebayer/HVAC-RL-Framework

7b71eb1a0624c2fafe8b9a5f453ba393187589fe

[ "MIT" ]

null

code/Networks.py

danielrenebayer/HVAC-RL-Framework

7b71eb1a0624c2fafe8b9a5f453ba393187589fe

[ "MIT" ]

null

code/Networks.py

danielrenebayer/HVAC-RL-Framework

7b71eb1a0624c2fafe8b9a5f453ba393187589fe

[ "MIT" ]

null

# # Function for generating torch-networks # import torch import collections def generate_network(network_type, input_size, output_size, use_layer_norm = False, add_tanh = False): if network_type == "2HiddenLayer,Trapezium": hidden_size1 = max(19, input_size) hidden_size2 = (hidden_size1 + 2*output_size) // 3 model = collections.OrderedDict() model["linear-1"] = torch.nn.Linear(input_size, hidden_size1) if use_layer_norm: model["lnorm-1"] = torch.nn.LayerNorm(hidden_size1) model["leakyReLU-1"] = torch.nn.LeakyReLU() model["linear-2"] = torch.nn.Linear(hidden_size1, hidden_size2) if use_layer_norm: model["lnorm-2"] = torch.nn.LayerNorm(hidden_size2) model["leakyReLU-2"] = torch.nn.LeakyReLU() model["linear-3"] = torch.nn.Linear(hidden_size2, output_size) if add_tanh: model["tanh-3"] = torch.nn.Tanh() return torch.nn.Sequential(model) if network_type == "2HiddenLayer,Trapezium,SiLU": hidden_size1 = max(19, input_size) hidden_size2 = (hidden_size1 + 2*output_size) // 3 model = collections.OrderedDict() model["linear-1"] = torch.nn.Linear(input_size, hidden_size1) if use_layer_norm: model["lnorm-1"] = torch.nn.LayerNorm(hidden_size1) model["SiLU-1"] = torch.nn.SiLU() model["linear-2"] = torch.nn.Linear(hidden_size1, hidden_size2) if use_layer_norm: model["lnorm-2"] = torch.nn.LayerNorm(hidden_size2) model["SiLU-2"] = torch.nn.SiLU() model["linear-3"] = torch.nn.Linear(hidden_size2, output_size) if add_tanh: model["tanh-3"] = torch.nn.Tanh() return torch.nn.Sequential(model) if network_type == "2HiddenLayer,FastPyramid": hidden_size1 = input_size // 3 hidden_size2 = (hidden_size1 + 3*output_size) // 4 model = collections.OrderedDict() model["linear-1"] = torch.nn.Linear(input_size, hidden_size1) if use_layer_norm: model["lnorm-1"] = torch.nn.LayerNorm(hidden_size1) model["leakyReLU-1"] = torch.nn.LeakyReLU() model["linear-2"] = torch.nn.Linear(hidden_size1, hidden_size2) if use_layer_norm: model["lnorm-2"] = torch.nn.LayerNorm(hidden_size2) model["leakyReLU-2"] = torch.nn.LeakyReLU() model["linear-3"] = torch.nn.Linear(hidden_size2, output_size) if add_tanh: model["tanh-3"] = torch.nn.Tanh() return torch.nn.Sequential(model) if network_type == "1HiddenBigLayer": hidden_size1 = 3 * max(input_size, output_size) model = collections.OrderedDict() model["linear-1"] = torch.nn.Linear(input_size, hidden_size1) if use_layer_norm: model["lnorm-1"] = torch.nn.LayerNorm(hidden_size1) model["leakyReLU-1"] = torch.nn.LeakyReLU() model["linear-2"] = torch.nn.Linear(hidden_size1, output_size) if add_tanh: model["tanh-2"] = torch.nn.Tanh() return torch.nn.Sequential(model) if network_type == "1HiddenBigLayer,ELU": hidden_size1 = 3 * max(input_size, output_size) model = collections.OrderedDict() model["linear-1"] = torch.nn.Linear(input_size, hidden_size1) if use_layer_norm: model["lnorm-1"] = torch.nn.LayerNorm(hidden_size1) model["ELU-1"] = torch.nn.ELU(alpha=0.9) model["linear-2"] = torch.nn.Linear(hidden_size1, output_size) if add_tanh: model["tanh-2"] = torch.nn.Tanh() return torch.nn.Sequential(model) if network_type == "1HiddenBigLayer,SiLU": hidden_size1 = 3 * max(input_size, output_size) model = collections.OrderedDict() model["linear-1"] = torch.nn.Linear(input_size, hidden_size1) if use_layer_norm: model["lnorm-1"] = torch.nn.LayerNorm(hidden_size1) model["SiLU-1"] = torch.nn.SiLU() model["linear-2"] = torch.nn.Linear(hidden_size1, output_size) if add_tanh: model["tanh-2"] = torch.nn.Tanh() return torch.nn.Sequential(model) else: raise AttributeError(f"Unknown network type '{network_type}'.")

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0.616874

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4,338

4.716117

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0.12233

0.055922

0.048932

0.885437

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0.03075

0.250346

4,338

100

103

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0

null

0

1

0

1

0

null

0

8

9b5a320d93bf1a523376cb116c19074880474517

5,445

py

Python

tests/test_tg_toc.py

TuxCoder/Clay

04f15b4d742b14d09df9049dd91cfa4386cba66e

[ "MIT" ]

null

tests/test_tg_toc.py

TuxCoder/Clay

04f15b4d742b14d09df9049dd91cfa4386cba66e

[ "MIT" ]

null

tests/test_tg_toc.py

TuxCoder/Clay

04f15b4d742b14d09df9049dd91cfa4386cba66e

[ "MIT" ]

null

from os.path import dirname, join import shutil from clay.tglobals import ToC CLAY_SOURCE_PATH = join(dirname(__file__), '..', 'clay') FILTER = ('.*', '*.pyc', '__pycache__' ) def setup_function(function): try: shutil.rmtree(join(CLAY_SOURCE_PATH, '__pycache__')) except OSError: pass def test_toc_build(): toc = ToC(CLAY_SOURCE_PATH, filter=FILTER) assert list(toc._leafs.items()) == [ ('__init__.py', '/__init__.py'), ('helpers.py', '/helpers.py'), ('jinja_includewith.py', '/jinja_includewith.py'), ('main.py', '/main.py'), ('manage.py', '/manage.py'), ('server.py', '/server.py'), ('static.py', '/static.py'), ('tglobals.py', '/tglobals.py'), ('wsgiapp.py', '/wsgiapp.py') ] assert list(toc._branches.keys()) == ['markdown_ext', 'source'] def test_toc_iter(): toc = ToC(CLAY_SOURCE_PATH, filter=FILTER) assert list(toc) == [ ('__init__.py', '/__init__.py'), ('helpers.py', '/helpers.py'), ('jinja_includewith.py', '/jinja_includewith.py'), ('main.py', '/main.py'), ('manage.py', '/manage.py'), ('server.py', '/server.py'), ('static.py', '/static.py'), ('tglobals.py', '/tglobals.py'), ('wsgiapp.py', '/wsgiapp.py') ] assert list(toc.source) == [ ('_index.html', '/source/_index.html'), ('_index.txt', '/source/_index.txt'), ('_notfound.html', '/source/_notfound.html'), ] def test_toc_render_maxdepth0(): expected = """<ul class="toc"> <li><a href="/__init__.py">__init__.py</a></li> <li><a href="/helpers.py">helpers.py</a></li> <li><a href="/jinja_includewith.py">jinja_includewith.py</a></li> <li><a href="/main.py">main.py</a></li> <li><a href="/manage.py">manage.py</a></li> <li><a href="/server.py">server.py</a></li> <li><a href="/static.py">static.py</a></li> <li><a href="/tglobals.py">tglobals.py</a></li> <li><a href="/wsgiapp.py">wsgiapp.py</a></li> </ul>""" toc = ToC(CLAY_SOURCE_PATH, filter=FILTER) html = toc(maxdepth=0) assert expected == html def test_toc_render_maxdepth1(): expected = """<ul class="toc"> <li><a href="/__init__.py">__init__.py</a></li> <li><a href="/helpers.py">helpers.py</a></li> <li><a href="/jinja_includewith.py">jinja_includewith.py</a></li> <li><a href="/main.py">main.py</a></li> <li><a href="/manage.py">manage.py</a></li> <li><a href="/server.py">server.py</a></li> <li><a href="/static.py">static.py</a></li> <li><a href="/tglobals.py">tglobals.py</a></li> <li><a href="/wsgiapp.py">wsgiapp.py</a></li> <li>markdown_ext <ul class="toc"> <li><a href="/markdown_ext/__init__.py">__init__.py</a></li> <li><a href="/markdown_ext/jinja.py">jinja.py</a></li> <li><a href="/markdown_ext/md_admonition.py">md_admonition.py</a></li> <li><a href="/markdown_ext/md_captions.py">md_captions.py</a></li> <li><a href="/markdown_ext/md_delinsmark.py">md_delinsmark.py</a></li> <li><a href="/markdown_ext/md_superscript.py">md_superscript.py</a></li> <li><a href="/markdown_ext/render.py">render.py</a></li> </ul> </li> <li>source <ul class="toc"> <li><a href="/source/_index.html">_index.html</a></li> <li><a href="/source/_index.txt">_index.txt</a></li> <li><a href="/source/_notfound.html">_notfound.html</a></li> </ul> </li> </ul>""" toc = ToC(CLAY_SOURCE_PATH, filter=FILTER) html = toc(maxdepth=1) print(html) assert expected == html def test_toc_render_maxdepthplus(): toc = ToC(CLAY_SOURCE_PATH, filter=FILTER) assert toc(maxdepth=2) == toc(maxdepth=9999) def test_toc_render_folders_first(): expected = """<ul class="toc"> <li>markdown_ext <ul class="toc"> <li><a href="/markdown_ext/__init__.py">__init__.py</a></li> <li><a href="/markdown_ext/jinja.py">jinja.py</a></li> <li><a href="/markdown_ext/md_admonition.py">md_admonition.py</a></li> <li><a href="/markdown_ext/md_captions.py">md_captions.py</a></li> <li><a href="/markdown_ext/md_delinsmark.py">md_delinsmark.py</a></li> <li><a href="/markdown_ext/md_superscript.py">md_superscript.py</a></li> <li><a href="/markdown_ext/render.py">render.py</a></li> </ul> </li> <li>source <ul class="toc"> <li><a href="/source/_index.html">_index.html</a></li> <li><a href="/source/_index.txt">_index.txt</a></li> <li><a href="/source/_notfound.html">_notfound.html</a></li> </ul> </li> <li><a href="/__init__.py">__init__.py</a></li> <li><a href="/helpers.py">helpers.py</a></li> <li><a href="/jinja_includewith.py">jinja_includewith.py</a></li> <li><a href="/main.py">main.py</a></li> <li><a href="/manage.py">manage.py</a></li> <li><a href="/server.py">server.py</a></li> <li><a href="/static.py">static.py</a></li> <li><a href="/tglobals.py">tglobals.py</a></li> <li><a href="/wsgiapp.py">wsgiapp.py</a></li> </ul>""" toc = ToC(CLAY_SOURCE_PATH, filter=FILTER) html = toc(maxdepth=1, folders_first=True) print(html) assert expected == html

36.059603

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787

5,445

3.752224

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0.047748

0.111412

0.124958

0.850322

0.825262

0.802235

0.789367

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null

0

1

0

1

0

1

null

0

9

fd3ace3e9e586f4397b5c5cf84e69703383471e5

306

py

Python

Mediapipe proj/tempCodeRunnerFile.py

shivam66151/Student_Proctoring_System

0788bc6b0be1dd484444ac060919b7e3a63d0a55

[ "MIT" ]

null

Mediapipe proj/tempCodeRunnerFile.py

shivam66151/Student_Proctoring_System

0788bc6b0be1dd484444ac060919b7e3a63d0a55

[ "MIT" ]

null

Mediapipe proj/tempCodeRunnerFile.py

shivam66151/Student_Proctoring_System

0788bc6b0be1dd484444ac060919b7e3a63d0a55

[ "MIT" ]

null

# mp_drawing.draw_landmarks( # image=image, # landmark_list=face_landmarks, # connections=mp_face_mesh.FACE_CONNECTIONS, # landmark_drawing_spec=drawing_spec, # connection_drawing_spec=drawing_spec)

51

65

0.54902

26

306

5.961538

0.461538

0.283871

0.232258

0.283871

0

0.388889

306

6

66

51

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null

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null

1

0

1

0

1

0

null

0

1

0

7

b5c89bb9b571c283f6671424337334d92d449274

260

py

Python

pymatting/foreground/__init__.py

the21st/pymatting

6791baacbd653b86a5b740f93516c2928be6caee

[ "MIT" ]

1

2020-05-29T07:37:06.000Z

pymatting/foreground/__init__.py

AvatarWorld/pymatting

c6a48e2887e61d1f074a830e69b52c34fea9d7af

[ "MIT" ]

null

pymatting/foreground/__init__.py

AvatarWorld/pymatting

c6a48e2887e61d1f074a830e69b52c34fea9d7af

[ "MIT" ]

null

from pymatting.foreground.estimate_foreground_cf import estimate_foreground_cf from pymatting.foreground.estimate_foreground_ml import estimate_foreground_ml from pymatting.foreground.estimate_foreground_ml import estimate_foreground_ml as estimate_foreground

65

101

0.923077

33

260

6.878788

0.242424

0.555066

0.352423

0.409692

0.788546

0.60793

0

0.053846

260

3

102

86.666667

0.922764

0

1

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true

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

bd169464fff8d93e5788809ac4ba48e2e7757225

174

py

Python

backend/helper/DateHelper.py

Integration-Continue-TP/societe-pieces-auto

80b7efa472531553026c6393c422e899e17c857c

[ "MIT" ]

null

backend/helper/DateHelper.py

Integration-Continue-TP/societe-pieces-auto

80b7efa472531553026c6393c422e899e17c857c

[ "MIT" ]

null

backend/helper/DateHelper.py

Integration-Continue-TP/societe-pieces-auto

80b7efa472531553026c6393c422e899e17c857c

[ "MIT" ]

null

from datetime import datetime import pytz class DateHelper: @staticmethod def get_today_date(): return datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%M:%S")

19.333333

67

0.683908

25

174

4.68

0.8

0.239316

0

0.178161

174

8

68

21.75

0.818182

0

0.097701

0

1

0.166667

true

0

0.333333

0.166667

0.833333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

bd2fb7934ae0159aae240befd79c402bf053f0a0

112

py

Python

amalgama/__init__.py

andriyor/amalgama-pq

9b3478ca22080fc612fb40cda488a8538b2624dc

[ "MIT" ]

2

2019-12-16T07:55:00.000Z

2020-04-21T14:55:18.000Z

amalgama/__init__.py

Live-Lyrics/amalgama-pq

9b3478ca22080fc612fb40cda488a8538b2624dc

[ "MIT" ]

1

2021-03-31T19:18:52.000Z

amalgama/__init__.py

andriyor/amalgama-pq

9b3478ca22080fc612fb40cda488a8538b2624dc

[ "MIT" ]

null

from .amalgama import get_url, get_html, get_all_translates_lines, get_all_translates, get_first_translate_text

56

111

0.883929

18

112

4.944444

0.666667

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0.359551

0

0.071429

112

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112

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0

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true

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null

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0

null

0

1

0

1

0

1

0

7

1febfaaaef1702a1b7ef6551aeb19c6dbe2318e4

1,485

py

Python

server/app/forms.py

atom-space/atomspace.od.ua

a429c95534ffb14d446af5e685c46478aee90fe5

[ "MIT" ]

3

2019-02-06T22:04:50.000Z

2019-11-07T18:57:34.000Z

server/app/forms.py

atom-space/atomspace.od.ua

a429c95534ffb14d446af5e685c46478aee90fe5

[ "MIT" ]

16

2019-07-09T18:05:34.000Z

2022-03-11T23:43:59.000Z

server/app/forms.py

atom-space/atomspace.od.ua

a429c95534ffb14d446af5e685c46478aee90fe5

[ "MIT" ]

2

2019-04-21T23:10:33.000Z

2019-09-08T12:33:50.000Z

from django import forms class MerchForm(forms.Form): name = forms.CharField(label='Name', widget=forms.TextInput( attrs={'class': 'input-group-text'})) price = forms.IntegerField(label='Price', widget=forms.NumberInput( attrs={'class': 'input-group-text'})) photo = forms.ImageField(label='Item photo(not SVG)') class NewsForm(forms.Form): header = forms.CharField(widget=forms.TextInput( attrs={'class': 'input-group-text'})) content = forms.CharField(widget=forms.Textarea( attrs={'class': 'form-control'})) photo = forms.ImageField(label='Article photo(not SVG)') class EditMerch(forms.Form): name = forms.CharField(label='Name', widget=forms.TextInput( attrs={'class': 'input-group-text'}), required=False) price = forms.IntegerField(label='Price', widget=forms.NumberInput( attrs={'class': 'input-group-text'}), required=False) class EditNews(forms.Form): header = forms.CharField(widget=forms.TextInput( attrs={'class': 'input-group-text'}), required=False) content = forms.CharField(widget=forms.Textarea( attrs={'class': 'form-control'}), required=False) class LoginForm(forms.Form): username = forms.CharField(widget=forms.TextInput( attrs={'class': 'input-group-item', 'placeholder': 'Username:'})) password = forms.CharField(widget=forms.TextInput( attrs={'class': 'input-group-item', 'placeholder': 'Password:', 'type': 'password'}))

38.076923

93

0.672727

170

1,485

5.876471

0.229412

0.11011

0.12012

0.16016

0.761762

0.748749

0

0.152189

1,485

38

94

39.078947

0.793487

0

0.5

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1

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false

0.071429

0.035714

0

0.642857

0

null

0

1

0

1

0

null

0

1

0

1

0

8

950383fed794f385994e07a81a81fa20a416898e

62

py

Python

src/test.py

sd2001/-le-medicin

a509e10552f3ad8574853a52ea1b2c6255dae5eb

[ "MIT" ]

17

2020-09-20T20:40:54.000Z

2021-02-24T06:27:14.000Z

src/test.py

srm-mic/-le-medicin

df23d095e2b28bf2eb05925a061eb3417573d7b1

[ "MIT" ]

null

src/test.py

srm-mic/-le-medicin

df23d095e2b28bf2eb05925a061eb3417573d7b1

[ "MIT" ]

5

2020-09-22T15:02:19.000Z

2021-10-04T15:56:17.000Z

def add(a,b): print(a+b) def subs(a,b): print(a-b)

8.857143

14

0.5

14

62

2.214286

0.428571

0.258065

0.451613

0.516129

0.580645

0

0.274194

62

7

15

8.857143

0.688889

0

1

0.5

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

7

1f7fac4bee157e0f7c2e861223149809d9a6c661

204

py

Python

maxwell_faker/__init__.py

movio/maxwell-faker

3c38128a82f0a589afab3d35d1f9461d498474ad

[ "MIT" ]

2

2016-03-21T04:59:16.000Z

2016-03-22T01:59:39.000Z

maxwell_faker/__init__.py

movio/maxwell-faker

3c38128a82f0a589afab3d35d1f9461d498474ad

[ "MIT" ]

5

2016-03-21T12:26:58.000Z

2016-11-15T14:29:02.000Z

maxwell_faker/__init__.py

movio/maxwell-faker

3c38128a82f0a589afab3d35d1f9461d498474ad

[ "MIT" ]

2

2016-10-19T20:10:41.000Z

2019-10-03T21:41:14.000Z

# -*- coding: utf-8 -*- def daemon_main(): from daemon import main main() def bootstrap_main(): from bootstrap import main main() def gen_main(): from gen import main main()

12

30

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27

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4.481481

0.37037

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0.280992

0

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204

16

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null

0

1

0

1

0

1

0

7

2f2749f4eeff2a5362d1be9b1fdb79f9e7fafd5c

96

py

Python

template_python_project/core/concat.py

ulphidius/template_python_project

20cff62873207e143ded0bb548597fd5017c4cc2

[ "MIT" ]

1

2021-03-14T17:00:55.000Z

template_python_project/core/concat.py

ulphidius/template_python_project

20cff62873207e143ded0bb548597fd5017c4cc2

[ "MIT" ]

null

template_python_project/core/concat.py

ulphidius/template_python_project

20cff62873207e143ded0bb548597fd5017c4cc2

[ "MIT" ]

null

def concat(first_string, second_string): return "{} {}".format(first_string, second_string)

32

54

0.739583

12

96

5.583333

0.583333

0.328358

0.507463

0.686567

0

0.114583

96

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1

0

1

0

null

0

1

0

1

0

8

2f58554f3586d2886cb61168eeaa7105481987ca

29,931

py

Python

test/programytest/rdf/test_collection.py

cen-ai/program-y

a753667638147544c54dbebd9f1c8f9ae7f2159e

[ "MIT" ]

5

2018-08-21T00:13:45.000Z

2018-09-01T20:00:55.000Z

test/programytest/rdf/test_collection.py

cen-ai/program-y

a753667638147544c54dbebd9f1c8f9ae7f2159e

[ "MIT" ]

1

2018-09-12T18:30:17.000Z

test/programytest/rdf/test_collection.py

cen-ai/program-y

a753667638147544c54dbebd9f1c8f9ae7f2159e

[ "MIT" ]

5

2018-08-21T00:08:36.000Z

2018-09-23T06:11:04.000Z

import unittest import os import os.path from programy.rdf.collection import RDFCollection from programy.storage.stores.file.config import FileStorageConfiguration from programy.storage.stores.file.engine import FileStorageEngine from programy.storage.stores.file.config import FileStoreConfiguration from programy.storage.factory import StorageFactory class RDFCollectionTests(unittest.TestCase): def add_data(self, collection): collection.add_entity("MONKEY", "LEGS", "2", "ANIMALS") collection.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") collection.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") collection.add_entity("BIRD", "LEGS", "2", "ANIMALS") collection.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") ################################################################################################################### # RDF Database creation # def test_add_collection(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("ACCOUNT", "hasSize", "0", "BANIKING") self.assertTrue(collection.has_subject('ACCOUNT')) self.assertTrue(collection.has_predicate('ACCOUNT', 'hasSize')) self.assertTrue(collection.has_object('ACCOUNT', 'hasSize', "0")) def test_delete_collection_subject(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("ACCOUNT", "hasSize", "0", "BANIKING") self.assertTrue(collection.has_subject('ACCOUNT')) self.assertTrue(collection.has_predicate('ACCOUNT', 'hasSize')) self.assertTrue(collection.has_object('ACCOUNT', 'hasSize', "0")) collection.delete_entity("ACCOUNT") self.assertFalse(collection.has_subject('ACCOUNT')) def test_delete_collection_subject_predicate(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("ACCOUNT", "hasSize", "0", "BANIKING") self.assertTrue(collection.has_subject('ACCOUNT')) self.assertTrue(collection.has_predicate('ACCOUNT', 'hasSize')) self.assertTrue(collection.has_object('ACCOUNT', 'hasSize', "0")) collection.delete_entity("ACCOUNT", "hasSize") self.assertFalse(collection.has_subject('ACCOUNT')) def test_delete_collection_subject_predicate_object(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("ACCOUNT", "hasSize", "0", "BANIKING") self.assertTrue(collection.has_subject('ACCOUNT')) self.assertTrue(collection.has_predicate('ACCOUNT', 'hasSize')) self.assertTrue(collection.has_object('ACCOUNT', 'hasSize', "0")) collection.delete_entity("ACCOUNT", "hasSize", "0") self.assertFalse(collection.has_subject('ACCOUNT')) self.assertFalse(collection.has_predicate('ACCOUNT', 'hasSize')) self.assertFalse(collection.has_object('ACCOUNT', 'hasSize', "0")) def test_delete_collection_subject_predicate_diff_object(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("ACCOUNT", "hasSize", "0", "BANKING", "BANIKING") self.assertTrue(collection.has_subject('ACCOUNT')) self.assertTrue(collection.has_predicate('ACCOUNT', 'hasSize')) self.assertTrue(collection.has_object('ACCOUNT', 'hasSize', "0")) collection.delete_entity("ACCOUNT", "hasSize", "1") self.assertTrue(collection.has_subject('ACCOUNT')) self.assertTrue(collection.has_predicate('ACCOUNT', 'hasSize')) self.assertTrue(collection.has_object('ACCOUNT', 'hasSize', "0")) ################################################################################################################### # Loading # def test_load_from_file(self): config = FileStorageConfiguration() config._rdf_storage = FileStoreConfiguration(dirs=[os.path.dirname(__file__) + os.sep + "test_files" + os.sep + "rdfs"]) factory = StorageFactory() storage_engine = FileStorageEngine(config) factory._storage_engines[StorageFactory.RDF] = storage_engine factory._store_to_engine_map[StorageFactory.RDF] = storage_engine storage_engine.initialise() collection = RDFCollection() self.assertIsNotNone(collection) collection.load(factory) self.assertTrue(collection.has_subject("TEST1")) self.assertTrue(collection.has_predicate("TEST1", "HASPURPOSE")) self.assertTrue(collection.has_object("TEST1", "HASPURPOSE", "to test")) def test_reload_from_file(self): config = FileStorageConfiguration() config._rdf_storage = FileStoreConfiguration(dirs=[os.path.dirname(__file__) + os.sep + "test_files" + os.sep + "rdfs"]) factory = StorageFactory() storage_engine = FileStorageEngine(config) factory._storage_engines[StorageFactory.RDF] = storage_engine factory._store_to_engine_map[StorageFactory.RDF] = storage_engine storage_engine.initialise() collection = RDFCollection() self.assertIsNotNone(collection) collection.load(factory) self.assertTrue(collection.has_subject("TEST1")) self.assertTrue(collection.has_predicate("TEST1", "HASPURPOSE")) self.assertTrue(collection.has_object("TEST1", "HASPURPOSE", "to test")) collection.delete_entity("TEST1", "HASPURPOSE", "to test") self.assertFalse(collection.has_object("TEST1", "HASPURPOSE", "to test")) collection.reload(factory, "TESTDATA") self.assertTrue(collection.has_subject("TEST1")) self.assertTrue(collection.has_predicate("TEST1", "HASPURPOSE")) self.assertTrue(collection.has_object("TEST1", "HASPURPOSE", "to test")) ################################################################################################################### # Basic matching # def test_all_as_tuples(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) all = collection.all_as_tuples() self.assertIsNotNone(all) self.assertEqual(5, len(all)) self.assertTrue(["MONKEY", "LEGS", "2"] in all) self.assertTrue(["MONKEY", "HASFUR", "true"] in all) self.assertTrue(["ZEBRA", "LEGS", "4"] in all) self.assertTrue(["BIRD", "LEGS", "2"] in all) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in all) def test_match_all_as_tuples(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.matched_as_tuples() self.assertIsNotNone(matched) self.assertEqual(5, len(matched)) self.assertTrue(["MONKEY", "LEGS", "2"] in matched) self.assertTrue(["MONKEY", "HASFUR", "true"] in matched) self.assertTrue(["ZEBRA", "LEGS", "4"] in matched) self.assertTrue(["BIRD", "LEGS", "2"] in matched) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in matched) def test_match_all_as_tuples_subject(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.matched_as_tuples(subject="MONKEY") self.assertIsNotNone(matched) self.assertEqual(2, len(matched)) self.assertTrue(["MONKEY", "LEGS", "2"] in matched) self.assertTrue(["MONKEY", "HASFUR", "true"] in matched) def test_match_all_as_tuples_subject_predicate(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.matched_as_tuples(subject="MONKEY", predicate="LEGS") self.assertIsNotNone(matched) self.assertEqual(1, len(matched)) self.assertTrue(["MONKEY", "LEGS", "2"] in matched) def test_match_all_as_tuples_subject_predicate_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.matched_as_tuples(subject="MONKEY", predicate="LEGS", obj="2") self.assertIsNotNone(matched) self.assertEqual(1, len(matched)) self.assertTrue(["MONKEY", "LEGS", "2"] in matched) def test_match_all_as_tuples_predicate(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.matched_as_tuples(predicate="LEGS") self.assertIsNotNone(matched) self.assertEqual(3, len(matched)) self.assertTrue(["MONKEY", "LEGS", "2"] in matched) self.assertTrue(["ZEBRA", "LEGS", "4"] in matched) self.assertTrue(["BIRD", "LEGS", "2"] in matched) def test_match_all_as_tuples_predicate_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.matched_as_tuples(predicate="LEGS", obj="2") self.assertIsNotNone(matched) self.assertEqual(2, len(matched)) self.assertTrue(["MONKEY", "LEGS", "2"] in matched) self.assertTrue(["BIRD", "LEGS", "2"] in matched) def test_match_as_tuples_subject_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.matched_as_tuples(subject="MONKEY", obj="2") self.assertIsNotNone(matched) self.assertEqual(1, len(matched)) self.assertTrue(["MONKEY", "LEGS", "2"] in matched) def test_remove_subject(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) all = collection.all_as_tuples() remains = collection.remove(all, subject='MONKEY') self.assertIsNotNone(remains) self.assertEqual(3, len(remains)) self.assertTrue(["ZEBRA", "LEGS", "4"] in remains) self.assertTrue(["BIRD", "LEGS", "2"] in remains) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in remains) def test_remove_subject_predicate(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) all = collection.all_as_tuples() remains = collection.remove(all, subject='MONKEY', predicate="LEGS") self.assertIsNotNone(remains) self.assertEqual(4, len(remains)) self.assertTrue(["MONKEY", "HASFUR", "true"] in remains) self.assertTrue(["ZEBRA", "LEGS", "4"] in remains) self.assertTrue(["BIRD", "LEGS", "2"] in remains) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in remains) def test_remove_subject_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) all = collection.all_as_tuples() remains = collection.remove(all, subject='MONKEY', obj="2") self.assertIsNotNone(remains) self.assertEqual(4, len(remains)) self.assertTrue(["MONKEY", "HASFUR", "true"] in all) self.assertTrue(["ZEBRA", "LEGS", "4"] in all) self.assertTrue(["BIRD", "LEGS", "2"] in all) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in all) def test_remove_predicate(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) all = collection.all_as_tuples() remains = collection.remove(all, predicate='LEGS') self.assertIsNotNone(remains) self.assertEqual(2, len(remains)) self.assertTrue(["MONKEY", "HASFUR", "true"] in remains) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in remains) def test_remove_predicate_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) all = collection.all_as_tuples() remains = collection.remove(all, predicate='LEGS', obj="2") self.assertIsNotNone(remains) self.assertEqual(3, len(remains)) self.assertTrue(["MONKEY", "HASFUR", "true"] in all) self.assertTrue(["ZEBRA", "LEGS", "4"] in all) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in all) def test_remove_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) all = collection.all_as_tuples() remains = collection.remove(all, obj='2') self.assertIsNotNone(remains) self.assertEqual(3, len(remains)) self.assertTrue(["MONKEY", "HASFUR", "true"] in remains) self.assertTrue(["ZEBRA", "LEGS", "4"] in remains) self.assertTrue(["ELEPHANT", "TRUNK", "true"] in remains) ################################################################################################################### # Vars matching # def test_match_vars(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars() self.assertIsNotNone(matched) self.assertEqual(5, len(matched)) self.assertTrue([['subj', 'MONKEY'], ['pred', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['subj', 'MONKEY'], ['pred', 'HASFUR'], ['obj', 'true']] in matched) self.assertTrue([['subj', 'ELEPHANT'], ['pred', 'TRUNK'], ['obj', 'true']] in matched) self.assertTrue([['subj', 'ZEBRA'], ['pred', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['pred', 'LEGS'], ['obj', '2']] in matched) def test_not_match_vars(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.not_match_to_vars() self.assertIsNotNone(matched) self.assertEqual(0, len(matched)) def test_match_vars_subject(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars("?x") self.assertIsNotNone(matched) self.assertEqual(5, len(matched)) self.assertTrue([['?x', 'MONKEY'], ['pred', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['?x', 'MONKEY'], ['pred', 'HASFUR'], ['obj', 'true']] in matched) self.assertTrue([['?x', 'ELEPHANT'], ['pred', 'TRUNK'], ['obj', 'true']] in matched) self.assertTrue([['?x', 'ZEBRA'], ['pred', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['?x', 'BIRD'], ['pred', 'LEGS'], ['obj', '2']] in matched) def test_not_match_vars_subject(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) not_matched = collection.not_match_to_vars("?x") self.assertIsNotNone(not_matched) self.assertEqual(0, len(not_matched)) def test_match_vars_subject_with_predicate_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="?x", predicate="LEGS") self.assertIsNotNone(matched) self.assertEqual(3, len(matched)) self.assertTrue([['?x', 'MONKEY'], ['pred', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['?x', 'ZEBRA'], ['pred', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['?x', 'BIRD'], ['pred', 'LEGS'], ['obj', '2']] in matched) def test_not_match_vars_subject_with_predicate_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) not_matched = collection.not_match_to_vars(subject="?x", predicate="LEGS") self.assertIsNotNone(not_matched) self.assertEqual(1, len(not_matched)) self.assertTrue([['?x', 'ELEPHANT'], ['pred', 'TRUNK'], ['obj', 'true']] in not_matched) def test_match_vars_subject_with_predicate_object_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="?x", predicate="LEGS", obj="2") self.assertIsNotNone(matched) self.assertEqual(2, len(matched)) self.assertTrue([['?x', 'MONKEY'], ['pred', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['?x', 'BIRD'], ['pred', 'LEGS'], ['obj', '2']] in matched) def test_not_match_vars_subject_with_predicate_object_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.not_match_to_vars(subject="?x", predicate="LEGS", obj="2") self.assertIsNotNone(matched) self.assertEqual(2, len(matched)) self.assertTrue([['?x', 'ZEBRA'], ['pred', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['?x', 'ELEPHANT'], ['pred', 'TRUNK'], ['obj', 'true']] in matched) def test_match_vars_subject_predicate(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="?x", predicate="?y") self.assertIsNotNone(matched) self.assertTrue([['?x', 'MONKEY'], ['?y', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['?x', 'MONKEY'], ['?y', 'HASFUR'], ['obj', 'true']] in matched) self.assertTrue([['?x', 'ELEPHANT'], ['?y', 'TRUNK'], ['obj', 'true']] in matched) self.assertTrue([['?x', 'ZEBRA'], ['?y', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['?x', 'BIRD'], ['?y', 'LEGS'], ['obj', '2']] in matched) def test_match_vars_subject_predicate_with_subject_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="MONKEY", predicate="?y") self.assertIsNotNone(matched) self.assertEqual(2, len(matched)) self.assertTrue([['subj', 'MONKEY'], ['?y', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['subj', 'MONKEY'], ['?y', 'HASFUR'], ['obj', 'true']] in matched) def test_not_match_vars_subject_predicate_with_subject_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.not_match_to_vars(subject="MONKEY", predicate="?y") self.assertIsNotNone(matched) self.assertEqual(3, len(matched)) self.assertTrue([['subj', 'ZEBRA'], ['?y', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['?y', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['subj', 'ELEPHANT'], ['?y', 'TRUNK'], ['obj', 'true']] in matched) def test_match_vars_subject_predicate_with_subject_object_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="MONKEY", predicate="?y", obj="2") self.assertIsNotNone(matched) self.assertEqual(1, len(matched)) self.assertTrue([['subj', 'MONKEY'], ['?y', 'LEGS'], ['obj', '2']] in matched) def test_not_match_vars_subject_predicate_with_subject_object_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.not_match_to_vars(subject="MONKEY", predicate="?y", obj="2") self.assertIsNotNone(matched) self.assertEqual(3, len(matched)) self.assertTrue([['subj', 'ELEPHANT'], ['?y', 'TRUNK'], ['obj', 'true']] in matched) self.assertTrue([['subj', 'ZEBRA'], ['?y', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['?y', 'LEGS'], ['obj', '2']] in matched) def test_match_vars_subject_predicate_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars("?x", "?y", "?z") self.assertIsNotNone(matched) self.assertEqual(5, len(matched)) self.assertTrue([['?x', 'MONKEY'], ['?y', 'LEGS'], ['?z', '2']] in matched) self.assertTrue([['?x', 'MONKEY'], ['?y', 'HASFUR'], ['?z', 'true']] in matched) self.assertTrue([['?x', 'ELEPHANT'], ['?y', 'TRUNK'], ['?z', 'true']] in matched) self.assertTrue([['?x', 'ZEBRA'], ['?y', 'LEGS'], ['?z', '4']] in matched) self.assertTrue([['?x', 'BIRD'], ['?y', 'LEGS'], ['?z', '2']] in matched) def test_not_match_vars_subject_predicate_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.not_match_to_vars("?x", "?y", "?z") self.assertIsNotNone(matched) self.assertEqual(0, len(matched)) def test_match_vars_subject_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="?x",obj="?z") self.assertIsNotNone(matched) self.assertEqual(5, len(matched)) self.assertTrue([['?x', 'MONKEY'], ['pred', 'LEGS'], ['?z', '2']] in matched) self.assertTrue([['?x', 'MONKEY'], ['pred', 'HASFUR'], ['?z', 'true']] in matched) self.assertTrue([['?x', 'ELEPHANT'], ['pred', 'TRUNK'], ['?z', 'true']] in matched) self.assertTrue([['?x', 'ZEBRA'], ['pred', 'LEGS'], ['?z', '4']] in matched) self.assertTrue([['?x', 'BIRD'], ['pred', 'LEGS'], ['?z', '2']] in matched) def test_match_vars_predicate(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(predicate="?x") self.assertIsNotNone(matched) self.assertTrue([['subj', 'MONKEY'], ['?x', 'LEGS'], ['obj', '2']] in matched) self.assertTrue([['subj', 'MONKEY'], ['?x', 'HASFUR'], ['obj', 'true']] in matched) self.assertTrue([['subj', 'ELEPHANT'], ['?x', 'TRUNK'], ['obj', 'true']] in matched) self.assertTrue([['subj', 'ZEBRA'], ['?x', 'LEGS'], ['obj', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['?x', 'LEGS'], ['obj', '2']] in matched) def test_match_vars_predicate_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(predicate="?x", obj="?y") self.assertIsNotNone(matched) self.assertTrue([['subj', 'MONKEY'], ['?x', 'LEGS'], ['?y', '2']] in matched) self.assertTrue([['subj', 'MONKEY'], ['?x', 'HASFUR'], ['?y', 'true']] in matched) self.assertTrue([['subj', 'ELEPHANT'], ['?x', 'TRUNK'], ['?y', 'true']] in matched) self.assertTrue([['subj', 'ZEBRA'], ['?x', 'LEGS'], ['?y', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['?x', 'LEGS'], ['?y', '2']] in matched) def test_match_vars_object(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(obj="?x") self.assertIsNotNone(matched) self.assertEqual(5, len(matched)) self.assertTrue([['subj', 'MONKEY'], ['pred', 'LEGS'], ['?x', '2']] in matched) self.assertTrue([['subj', 'MONKEY'], ['pred', 'HASFUR'], ['?x', 'true']] in matched) self.assertTrue([['subj', 'ELEPHANT'], ['pred', 'TRUNK'], ['?x', 'true']] in matched) self.assertTrue([['subj', 'ZEBRA'], ['pred', 'LEGS'], ['?x', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['pred', 'LEGS'], ['?x', '2']] in matched) def test_match_vars_object_with_subject_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="MONKEY", obj="?x") self.assertIsNotNone(matched) self.assertEqual(2, len(matched)) self.assertTrue([['subj', 'MONKEY'], ['pred', 'LEGS'], ['?x', '2']] in matched) self.assertTrue([['subj', 'MONKEY'], ['pred', 'HASFUR'], ['?x', 'true']] in matched) def test_not_match_vars_object_with_subject_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.not_match_to_vars(subject="MONKEY", obj="?x") self.assertIsNotNone(matched) self.assertEqual(3, len(matched)) self.assertTrue([['subj', 'ELEPHANT'], ['pred', 'TRUNK'], ['?x', 'true']] in matched) self.assertTrue([['subj', 'ZEBRA'], ['pred', 'LEGS'], ['?x', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['pred', 'LEGS'], ['?x', '2']] in matched) def test_match_vars_object_with_subject_predicate_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_to_vars(subject="MONKEY", predicate="LEGS", obj="?x") self.assertIsNotNone(matched) self.assertEqual(1, len(matched)) self.assertTrue([['subj', 'MONKEY'], ['pred', 'LEGS'], ['?x', '2']] in matched) def test_not_match_vars_object_with_subject_predicate_params(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.not_match_to_vars(subject="MONKEY", predicate="LEGS", obj="?x") self.assertIsNotNone(matched) self.assertEqual(3, len(matched)) self.assertTrue([['subj', 'ELEPHANT'], ['pred', 'TRUNK'], ['?x', 'true']] in matched) self.assertTrue([['subj', 'ZEBRA'], ['pred', 'LEGS'], ['?x', '4']] in matched) self.assertTrue([['subj', 'BIRD'], ['pred', 'LEGS'], ['?x', '2']] in matched) def match_only_vars(self): collection = RDFCollection() self.assertIsNotNone(collection) self.add_data(collection) matched = collection.match_only_vars(subject="MONKEY", obj="?x") self.assertIsNotNone(matched) self.assertEqual(2, len(matched)) self.assertTrue([['?x', '2']] in matched) self.assertTrue([['?x', 'true']] in matched) ################################################################################################################### # Vars unification # def test_unify_on_single_var(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("MONKEY", "LEGS", "2", "ANIMAL") collection.add_entity("MONKEY", "HASFUR", "true", "ANIMAL") collection.add_entity("ZEBRA", "LEGS", "4", "ANIMAL") collection.add_entity("BIRD", "LEGS", "2", "ANIMAL") collection.add_entity("ELEPHANT", "TRUNK", "true", "ANIMAL") set1 = collection.match_to_vars("?x", "LEGS", "2") set2 = collection.match_to_vars("?x", "HASFUR", "true") unified = collection.unify(["?x"], [set1, set2]) self.assertIsNotNone(unified) self.assertEqual(1, len(unified)) self.assertTrue([['?x', 'MONKEY']] in unified) def test_unify_on_single_var_with_not(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("MONKEY", "LEGS", "2", "ANIMALS") collection.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") collection.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") collection.add_entity("BIRD", "LEGS", "2", "ANIMALS") collection.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") set1 = collection.match_to_vars("?x", "LEGS", "2") set2 = collection.not_match_to_vars("?x", "HASFUR", "true") unified = collection.unify(["?x"], [set1, set2]) self.assertIsNotNone(unified) self.assertEqual(1, len(unified)) self.assertTrue([['?x', 'BIRD']] in unified) def test_unify_on_multi_vars(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("TEST1", "ISA", "TEST2", "TEST") collection.add_entity("TEST2", "ISA", "TEST3", "TEST") set1 = collection.match_to_vars("?x", "ISA", "?y") set2 = collection.match_to_vars("?y", "ISA", "?z") unified = collection.unify(("?x", "?y", "?z"), [set1, set2]) self.assertIsNotNone(unified) self.assertEqual(1, len(unified)) self.assertTrue(["?x", "TEST1"] in unified[0]) self.assertTrue(["?y", "TEST2"] in unified[0]) self.assertTrue(["?z", "TEST3"] in unified[0]) def test_unify_multi_var_deep(self): collection = RDFCollection() self.assertIsNotNone(collection) collection.add_entity("TEST1", "ISA", "TEST2", "TEST") collection.add_entity("TEST2", "ISA", "TEST3", "TEST") collection.add_entity("TEST3", "ISA", "TEST4", "TEST") collection.add_entity("TEST4", "ISA", "TEST5", "TEST") set1 = collection.match_to_vars("?x", "ISA", "?y") set2 = collection.match_to_vars("?y", "ISA", "?z") set3 = collection.match_to_vars("?z", "ISA", "?w") unified = collection.unify(("?x", "?y", "?z", "?w"), [set1, set2, set3]) self.assertIsNotNone(unified) self.assertEqual(2, len(unified)) self.assertTrue([['?x', 'TEST1'], ['?y', 'TEST2'], ['?z', 'TEST3'], ['?w', 'TEST4'], ] in unified) self.assertTrue([['?x', 'TEST2'], ['?y', 'TEST3'], ['?z', 'TEST4'], ['?w', 'TEST5']] in unified)

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null

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7

2f9f3f0dc4e3994002800edc073f988cef8f29b7

190

py

Python

cdk_pipeline/naming.py

keenangraham/cdk-pipeline

a79f51fcff1f451f2be2361ed9b18e86ee68fdff

[ "MIT" ]

null

cdk_pipeline/naming.py

keenangraham/cdk-pipeline

a79f51fcff1f451f2be2361ed9b18e86ee68fdff

[ "MIT" ]

null

cdk_pipeline/naming.py

keenangraham/cdk-pipeline

a79f51fcff1f451f2be2361ed9b18e86ee68fdff

[ "MIT" ]

null

from cdk_pipeline.config import config def prepend_project_name(name): return f'{config["project_name"]}-{name}' def prepend_branch_name(branch, name): return f'{branch}-{name}'

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1

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85d2bf120960dcc407739a81e0d98babeef8078d

11,863

py

Python

Project Codebase/board.py

VishnuPathmanaban2019/Chess-Sensei

348ca4fb94e42a50e946dfa6fd9e69a0387e9271

[ "Unlicense" ]

3

2021-10-03T21:29:45.000Z

2021-11-20T14:01:45.000Z

Project Codebase/board.py

VishnuPathmanaban2019/Chess-Sensei

348ca4fb94e42a50e946dfa6fd9e69a0387e9271

[ "Unlicense" ]

null

Project Codebase/board.py

VishnuPathmanaban2019/Chess-Sensei

348ca4fb94e42a50e946dfa6fd9e69a0387e9271

[ "Unlicense" ]

null

#=============================================================================== # Developer: Vishnu Pathmanaban # Email: vpathman@andrew.cmu.edu #=============================================================================== # File Description: Board Class #=============================================================================== from pieces import * #=============================================================================== class Board(object): #creates board def __init__(self, spritestrip, scale): self.size = int(132*scale) self.selected = (-1,-1) self.advice = [] self.board = [[None] * 8 for i in range(8)] for i in range(8): self.board[1][i] = Pawn(True, (1,i), spritestrip, self.size) self.board[6][i] = Pawn(False, (6,i), spritestrip, self.size) self.board[0][0] = Rook(True, (0,0), spritestrip, self.size) self.board[7][0] = Rook(False, (7,0), spritestrip, self.size) self.board[0][1] = Knight(True, (0,1), spritestrip, self.size) self.board[7][1] = Knight(False, (7,1), spritestrip, self.size) self.board[0][2] = Bishop(True, (0,2), spritestrip, self.size) self.board[7][2] = Bishop(False, (7,2), spritestrip, self.size) self.board[0][3] = Queen(True, (0,3), spritestrip, self.size) self.board[7][3] = Queen(False, (7,3), spritestrip, self.size) self.board[0][4] = King(True, (0,4), spritestrip, self.size) self.board[7][4] = King(False, (7,4), spritestrip, self.size) self.board[0][5] = Bishop(True, (0,5), spritestrip, self.size) self.board[7][5] = Bishop(False, (7,5), spritestrip, self.size) self.board[0][6] = Knight(True, (0,6), spritestrip, self.size) self.board[7][6] = Knight(False, (7,6), spritestrip, self.size) self.board[0][7] = Rook(True, (0,7), spritestrip, self.size) self.board[7][7] = Rook(False, (7,7), spritestrip, self.size) self.blackKingPosition = (0,4) self.whiteKingPosition = (7,4) def __eq__(self, other): if isinstance(other, Board): equal = True for row in range(8): for col in range(8): if(self.board[row][col]!=other.board[row][col]): equal = False return isinstance(other, Board) and equal def __repr__(self): return str(print2dList(self.board)) #determines if either king is in check def check(self): for row in range(8): for col in range(8): item = self.board[row][col] if(item != None): if(item.black and self.whiteKingPosition in item.legalMoves(self.board)): return 'white' elif(self.blackKingPosition in item.legalMoves(self.board)): return 'black' return 'none' #determines selected cell def cellSelection(self, x, y): for row in range(8): for col in range(8): x1 = col*self.size y1 = row*self.size x2 = col*self.size+self.size y2 = row*self.size+self.size if (x>x1 and x<x2 and y>y1 and y<y2): self.selected = (row,col) #draws board def draw(self, canvas): for row in range(8): for col in range(8): x1 = col*self.size y1 = row*self.size x2 = col*self.size+self.size y2 = row*self.size+self.size if (row+col)%2==0: canvas.create_rectangle(x1,y1,x2,y2,fill='white') else: canvas.create_rectangle(x1,y1,x2,y2,fill='maroon') if self.board[row][col]!=None: self.board[row][col].draw(canvas) if (row,col)==self.selected: width=10*(self.size/132) canvas.create_rectangle(x1+width//2,y1+width//2, x2-width//2,y2-width//2, outline='gold',width=width) if (row,col) in self.advice: width=10*(self.size/132) canvas.create_rectangle(x1+width//2,y1+width//2, x2-width//2,y2-width//2, outline='blue',width=width) #highlights legal moves in green def drawLegalMoves(self, piece, canvas): moves = piece.legalMoves(self.board) for move in moves: row = move[0] col = move[1] x1 = col*self.size y1 = row*self.size x2 = col*self.size+self.size y2 = row*self.size+self.size width=10*(self.size/132) canvas.create_rectangle(x1+width//2,y1+width//2, x2-width//2,y2-width//2, outline='green',width=width) #=============================================================================== #check test def checkTest(self, spritestrip): self.selected = (-1,-1) self.advice = [] self.board = [[None] * 8 for i in range(8)] for i in range(8): self.board[1][i] = Pawn(True, (1,i), spritestrip, self.size) self.board[6][i] = Pawn(False, (6,i), spritestrip, self.size) self.board[0][0] = Rook(True, (0,0), spritestrip, self.size) self.board[7][0] = Rook(False, (7,0), spritestrip, self.size) self.board[0][1] = Knight(True, (0,1), spritestrip, self.size) self.board[7][1] = Knight(False, (7,1), spritestrip, self.size) self.board[0][2] = Bishop(True, (0,2), spritestrip, self.size) self.board[7][2] = Bishop(False, (7,2), spritestrip, self.size) self.board[0][3] = Queen(True, (0,3), spritestrip, self.size) self.board[7][3] = Queen(False, (7,3), spritestrip, self.size) self.board[0][4] = King(True, (0,4), spritestrip, self.size) self.board[7][4] = King(False, (7,4), spritestrip, self.size) self.board[0][5] = Bishop(True, (0,5), spritestrip, self.size) self.board[7][5] = Bishop(False, (7,5), spritestrip, self.size) self.board[0][6] = Knight(True, (0,6), spritestrip, self.size) self.board[7][6] = Knight(False, (7,6), spritestrip, self.size) self.board[0][7] = Rook(True, (0,7), spritestrip, self.size) self.board[7][7] = Rook(False, (7,7), spritestrip, self.size) self.blackKingPosition = (0,4) self.whiteKingPosition = (7,4) self.board[1][5] = None self.board[6][4] = None #checkmate test def checkmateTest(self, spritestrip): self.selected = (-1,-1) self.advice = [] self.board = [[None] * 8 for i in range(8)] for i in range(8): self.board[1][i] = Pawn(True, (1,i), spritestrip, self.size) self.board[6][i] = Pawn(False, (6,i), spritestrip, self.size) self.board[0][0] = Rook(True, (0,0), spritestrip, self.size) self.board[7][0] = Rook(False, (7,0), spritestrip, self.size) self.board[0][1] = Knight(True, (0,1), spritestrip, self.size) self.board[7][1] = Knight(False, (7,1), spritestrip, self.size) self.board[0][2] = Bishop(True, (0,2), spritestrip, self.size) self.board[7][2] = Bishop(False, (7,2), spritestrip, self.size) self.board[0][3] = Queen(True, (0,3), spritestrip, self.size) self.board[7][3] = Queen(False, (7,3), spritestrip, self.size) self.board[0][4] = King(True, (0,4), spritestrip, self.size) self.board[7][4] = King(False, (7,4), spritestrip, self.size) self.board[0][5] = Bishop(True, (0,5), spritestrip, self.size) self.board[7][5] = Bishop(False, (7,5), spritestrip, self.size) self.board[0][6] = Knight(True, (0,6), spritestrip, self.size) self.board[7][6] = Knight(False, (7,6), spritestrip, self.size) self.board[0][7] = Rook(True, (0,7), spritestrip, self.size) self.board[7][7] = Rook(False, (7,7), spritestrip, self.size) self.blackKingPosition = (0,4) self.whiteKingPosition = (7,4) self.board[1][5] = None self.board[1][6] = None self.board[6][4] = None #AI test def AITest(self, spritestrip): self.selected = (-1,-1) self.advice = [] self.board = [[None] * 8 for i in range(8)] for i in range(8): self.board[1][i] = Pawn(True, (1,i), spritestrip, self.size) self.board[6][i] = Pawn(False, (6,i), spritestrip, self.size) self.board[0][0] = Rook(True, (0,0), spritestrip, self.size) self.board[7][0] = Rook(False, (7,0), spritestrip, self.size) self.board[0][1] = Knight(True, (0,1), spritestrip, self.size) self.board[7][1] = Knight(False, (7,1), spritestrip, self.size) self.board[0][2] = Bishop(True, (0,2), spritestrip, self.size) self.board[7][2] = Bishop(False, (4,7), spritestrip, self.size) self.board[1][3] = Queen(True, (1,3), spritestrip, self.size) self.board[6][4] = Queen(False, (6,4), spritestrip, self.size) self.board[0][4] = King(True, (0,4), spritestrip, self.size) self.board[7][4] = King(False, (7,4), spritestrip, self.size) self.board[0][5] = Bishop(True, (0,5), spritestrip, self.size) self.board[3][1] = Bishop(False, (3,1), spritestrip, self.size) self.board[0][6] = Knight(True, (0,6), spritestrip, self.size) self.board[7][6] = Knight(False, (7,6), spritestrip, self.size) self.board[0][7] = Rook(True, (0,7), spritestrip, self.size) self.board[7][7] = Rook(False, (7,7), spritestrip, self.size) self.blackKingPosition = (0,4) self.whiteKingPosition = (7,4) self.board[2][3] = Pawn(True, (2,3), spritestrip, self.size) self.board[5][4] = Pawn(False, (5,4), spritestrip, self.size) #advice explanation test def explanationTest(self, spritestrip): self.selected = (-1,-1) self.advice = [] self.board = [[None] * 8 for i in range(8)] for i in range(8): self.board[1][i] = Pawn(True, (1,i), spritestrip, self.size) self.board[6][i] = Pawn(False, (6,i), spritestrip, self.size) self.board[0][0] = Rook(True, (0,0), spritestrip, self.size) self.board[7][0] = Rook(False, (7,0), spritestrip, self.size) self.board[0][1] = Knight(True, (0,1), spritestrip, self.size) self.board[7][1] = Knight(False, (7,1), spritestrip, self.size) self.board[0][2] = Bishop(True, (0,2), spritestrip, self.size) self.board[7][2] = Bishop(False, (7,2), spritestrip, self.size) self.board[0][4] = Queen(True, (0,4), spritestrip, self.size) self.board[7][3] = Queen(False, (7,3), spritestrip, self.size) self.board[0][3] = King(True, (0,3), spritestrip, self.size) self.board[7][4] = King(False, (7,4), spritestrip, self.size) self.board[3][7] = Bishop(True, (3,7), spritestrip, self.size) self.board[7][5] = Bishop(False, (7,5), spritestrip, self.size) self.board[0][6] = Knight(True, (0,6), spritestrip, self.size) self.board[7][6] = Knight(False, (7,6), spritestrip, self.size) self.board[0][7] = Rook(True, (0,7), spritestrip, self.size) self.board[7][7] = Rook(False, (7,7), spritestrip, self.size) self.blackKingPosition = (0,3) self.whiteKingPosition = (7,4) self.board[1][5] = None self.board[1][6] = None self.board[6][4] = None #===============================================================================

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9

85d4ca51fb958459dfee6753c4586569ab8472bf

192

py

Python

tests/test_models.py

kevinjqiu/stellar

32cd40723b481cbd52722f73749b5d1f3e3971bd

[ "MIT" ]

1

2015-12-15T19:02:26.000Z

tests/test_models.py

kevinjqiu/stellar

32cd40723b481cbd52722f73749b5d1f3e3971bd

[ "MIT" ]

null

tests/test_models.py

kevinjqiu/stellar

32cd40723b481cbd52722f73749b5d1f3e3971bd

[ "MIT" ]

null

from stellar.models import get_unique_hash def test_get_unique_hash(): assert get_unique_hash() assert get_unique_hash() != get_unique_hash() assert len(get_unique_hash()) == 32

24

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