hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fc5a81b39a8968c2fd162ad91a24828d757523bd
| 18,567
|
py
|
Python
|
pycatia/part_interfaces/trim.py
|
evereux/catia_python
|
08948585899b12587b0415ce3c9191a408b34897
|
[
"MIT"
] | 90
|
2019-02-21T10:05:28.000Z
|
2022-03-19T01:53:41.000Z
|
pycatia/part_interfaces/trim.py
|
Luanee/pycatia
|
ea5eef8178f73de12404561c00baf7a7ca30da59
|
[
"MIT"
] | 99
|
2019-05-21T08:29:12.000Z
|
2022-03-25T09:55:15.000Z
|
pycatia/part_interfaces/trim.py
|
Luanee/pycatia
|
ea5eef8178f73de12404561c00baf7a7ca30da59
|
[
"MIT"
] | 26
|
2019-04-04T06:31:36.000Z
|
2022-03-30T07:24:47.000Z
|
#! usr/bin/python3.6
"""
Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-06-11 12:40:47.360445
.. warning::
The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only.
They are there as a guide as to how the visual basic / catscript functions work
and thus help debugging in pycatia.
"""
from pycatia.in_interfaces.reference import Reference
from pycatia.part_interfaces.boolean_shape import BooleanShape
class Trim(BooleanShape):
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445)
| System.IUnknown
| System.IDispatch
| System.CATBaseUnknown
| System.CATBaseDispatch
| System.AnyObject
| MecModInterfaces.Shape
| PartInterfaces.BooleanShape
| Trim
|
| Represents the Trim, or union trim boolean operation.
| It is performed between a body and the current shape.
"""
def __init__(self, com_object):
super().__init__(com_object)
self.trim = com_object
def add_face_to_keep(self, i_face_to_keep: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub AddFaceToKeep(Reference iFaceToKeep)
|
| Adds a new face to be kept (if face is not divided by
| operation).
|
| Parameters:
|
| iFaceToKeep
| The new face to process
| The following
|
| Boundary object is supported: Face.
|
| Example:
| The following example adds the new face face to Keep for the Trim
| firstTrim:
|
| call firstTrim.AddFaceToKeep(face)
:param Reference i_face_to_keep:
:return: None
:rtype: None
"""
return self.trim.AddFaceToKeep(i_face_to_keep.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'add_face_to_keep'
# # vba_code = """
# # Public Function add_face_to_keep(trim)
# # Dim iFaceToKeep (2)
# # trim.AddFaceToKeep iFaceToKeep
# # add_face_to_keep = iFaceToKeep
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def add_face_to_keep2(self, i_face_to_keep: Reference, i_face_adjacent_for_keep: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub AddFaceToKeep2(Reference iFaceToKeep,
| Reference iFaceAdjacentForKeep)
|
| Adds a new face to be kept (if face is divided by
| operation).
|
| Parameters:
|
| iFaceToKeep
| The new face to process
| The following
|
| Boundary object is supported: Face.
| iFaceAdjacentForKeep
| An adjacent face of iFaceToKeep belonging to the other
| operand
| The following Boundary object is supported: Face.
|
| Example:
| The following example adds the new face face to Keep for the Trim
| firstTrim:
|
| call firstTrim.AddFaceToKeep(face)
:param Reference i_face_to_keep:
:param Reference i_face_adjacent_for_keep:
:return: None
:rtype: None
"""
return self.trim.AddFaceToKeep2(i_face_to_keep.com_object, i_face_adjacent_for_keep.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'add_face_to_keep2'
# # vba_code = """
# # Public Function add_face_to_keep2(trim)
# # Dim iFaceToKeep (2)
# # trim.AddFaceToKeep2 iFaceToKeep
# # add_face_to_keep2 = iFaceToKeep
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def add_face_to_remove(self, i_face_to_remove: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub AddFaceToRemove(Reference iFaceToRemove)
|
| Adds a new face to be Removed (if face not divided by
| operation).
|
| Parameters:
|
| iFaceToRemove
| The new face to process
| The following
|
| Boundary object is supported: Face.
|
| Example:
| The following example adds the new face face to Remove for the Trim
| firstTrim:
|
| call firstTrim.AddFaceToRemove(face)
:param Reference i_face_to_remove:
:return: None
:rtype: None
"""
return self.trim.AddFaceToRemove(i_face_to_remove.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'add_face_to_remove'
# # vba_code = """
# # Public Function add_face_to_remove(trim)
# # Dim iFaceToRemove (2)
# # trim.AddFaceToRemove iFaceToRemove
# # add_face_to_remove = iFaceToRemove
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def add_face_to_remove2(self, i_face_to_remove: Reference, i_face_adjacent_for_remove: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub AddFaceToRemove2(Reference iFaceToRemove,
| Reference iFaceAdjacentForRemove)
|
| Adds a new face to be Removed (if face is divided by
| operation).
|
| Parameters:
|
| iFaceToRemove
| The new face to process
| The following
|
| Boundary object is supported: Face.
| iFaceAdjacentForRemove
| An adjacent face of iFaceToRemove belonging to the other
| operand
| The following Boundary object is supported: Face.
|
| Example:
| The following example adds the new face face to Remove for the Trim
| firstTrim:
|
| call firstTrim.AddFaceToRemove(face)
:param Reference i_face_to_remove:
:param Reference i_face_adjacent_for_remove:
:return: None
:rtype: None
"""
return self.trim.AddFaceToRemove2(i_face_to_remove.com_object, i_face_adjacent_for_remove.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'add_face_to_remove2'
# # vba_code = """
# # Public Function add_face_to_remove2(trim)
# # Dim iFaceToRemove (2)
# # trim.AddFaceToRemove2 iFaceToRemove
# # add_face_to_remove2 = iFaceToRemove
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def withdraw_face_to_keep(self, i_face_to_withdraw: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub WithdrawFaceToKeep(Reference iFaceToWithdraw)
|
| Withdraws an existing Kept face (if face is not divided by operation)
| .
|
| Parameters:
|
| iFaceToWithdraw
| The face to withdraw
| The following
|
| Boundary object is supported: Face.
|
| Example:
| The following example withdraws the existing face Kept face from the Trim
| firstTrim:
|
| call firstTrim.WithdrawFaceToKeep(face)
:param Reference i_face_to_withdraw:
:return: None
:rtype: None
"""
return self.trim.WithdrawFaceToKeep(i_face_to_withdraw.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'withdraw_face_to_keep'
# # vba_code = """
# # Public Function withdraw_face_to_keep(trim)
# # Dim iFaceToWithdraw (2)
# # trim.WithdrawFaceToKeep iFaceToWithdraw
# # withdraw_face_to_keep = iFaceToWithdraw
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def withdraw_face_to_keep2(self, i_face_to_withdraw: Reference, i_face_adjacent_for_keep: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub WithdrawFaceToKeep2(Reference iFaceToWithdraw,
| Reference iFaceAdjacentForKeep)
|
| Withdraws an existing Kept face (if face is divided by
| operation).
|
| Parameters:
|
| iFaceToWithdraw
| The face to withdraw
| The following
|
| Boundary object is supported: Face.
| iFaceAdjacentForKeep
| An adjacent face of iFaceToKeep belonging to the other
| operand
| The following Boundary object is supported: Face.
|
| Example:
| The following example withdraws the existing face Kept face from the Trim
| firstTrim:
|
| call firstTrim.WithdrawFaceToKeep(face)
:param Reference i_face_to_withdraw:
:param Reference i_face_adjacent_for_keep:
:return: None
:rtype: None
"""
return self.trim.WithdrawFaceToKeep2(i_face_to_withdraw.com_object, i_face_adjacent_for_keep.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'withdraw_face_to_keep2'
# # vba_code = """
# # Public Function withdraw_face_to_keep2(trim)
# # Dim iFaceToWithdraw (2)
# # trim.WithdrawFaceToKeep2 iFaceToWithdraw
# # withdraw_face_to_keep2 = iFaceToWithdraw
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def withdraw_face_to_remove(self, i_face_to_withdraw: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub WithdrawFaceToRemove(Reference iFaceToWithdraw)
|
| Withdraws an existing Removed face (if face not divided by
| operation).
|
| Parameters:
|
| iFaceToWithdraw
| The face to withdraw
| The following
|
| Boundary object is supported: Face.
|
| Example:
| The following example withdraws the existing face Removed face from the
| Trim firstTrim:
|
| call firstTrim.WithdrawFaceToRemove(face)
:param Reference i_face_to_withdraw:
:return: None
:rtype: None
"""
return self.trim.WithdrawFaceToRemove(i_face_to_withdraw.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'withdraw_face_to_remove'
# # vba_code = """
# # Public Function withdraw_face_to_remove(trim)
# # Dim iFaceToWithdraw (2)
# # trim.WithdrawFaceToRemove iFaceToWithdraw
# # withdraw_face_to_remove = iFaceToWithdraw
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def withdraw_face_to_remove2(self, i_face_to_withdraw: Reference, i_face_adjacent_for_remove: Reference) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub WithdrawFaceToRemove2(Reference iFaceToWithdraw,
| Reference iFaceAdjacentForRemove)
|
| Withdraws an existing Removed face (if face is divided by
| operation).
|
| Parameters:
|
| iFaceToWithdraw
| The face to withdraw
| The following
|
| Boundary object is supported: Face.
| iFaceAdjacentForRemove
| An adjacent face of iFaceToRemove belonging to the other
| operand
| The following Boundary object is supported: Face.
|
| Example:
| The following example withdraws the existing face Removed face from the
| Trim firstTrim:
|
| call firstTrim.WithdrawFaceToRemove(face)
:param Reference i_face_to_withdraw:
:param Reference i_face_adjacent_for_remove:
:return: None
:rtype: None
"""
return self.trim.WithdrawFaceToRemove2(i_face_to_withdraw.com_object, i_face_adjacent_for_remove.com_object)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'withdraw_face_to_remove2'
# # vba_code = """
# # Public Function withdraw_face_to_remove2(trim)
# # Dim iFaceToWithdraw (2)
# # trim.WithdrawFaceToRemove2 iFaceToWithdraw
# # withdraw_face_to_remove2 = iFaceToWithdraw
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def __repr__(self):
return f'Trim(name="{self.name}")'
| 42.781106
| 117
| 0.541714
| 1,846
| 18,567
| 5.271939
| 0.09805
| 0.04439
| 0.017263
| 0.032059
| 0.84104
| 0.80857
| 0.802096
| 0.750617
| 0.737567
| 0.7276
| 0
| 0.023095
| 0.393655
| 18,567
| 433
| 118
| 42.879908
| 0.841357
| 0.723111
| 0
| 0
| 1
| 0
| 0.008296
| 0.008296
| 0
| 0
| 0
| 0
| 0
| 1
| 0.416667
| false
| 0
| 0.083333
| 0.041667
| 0.916667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
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| null | 0
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| 1
| 0
|
0
| 9
|
fc87ad6a4d6c5dcc630b832e19be47f8cca25431
| 182,429
|
py
|
Python
|
anaconda_project/test/test_project_ops.py
|
vertingo/Anaconda_Videos_Tutos
|
f30f2a0549a7b81c17f4d5d249edc59eb3c05458
|
[
"BSD-3-Clause"
] | null | null | null |
anaconda_project/test/test_project_ops.py
|
vertingo/Anaconda_Videos_Tutos
|
f30f2a0549a7b81c17f4d5d249edc59eb3c05458
|
[
"BSD-3-Clause"
] | null | null | null |
anaconda_project/test/test_project_ops.py
|
vertingo/Anaconda_Videos_Tutos
|
f30f2a0549a7b81c17f4d5d249edc59eb3c05458
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2016, Anaconda, Inc. All rights reserved.
#
# Licensed under the terms of the BSD 3-Clause License.
# The full license is in the file LICENSE.txt, distributed with this software.
# -----------------------------------------------------------------------------
from __future__ import absolute_import, print_function
import codecs
import os
from tornado import gen
import platform
import pytest
import tarfile
import zipfile
from anaconda_project import project_ops
from anaconda_project.conda_manager import (CondaManager, CondaEnvironmentDeviations, CondaLockSet, CondaManagerError,
push_conda_manager_class, pop_conda_manager_class)
from anaconda_project.project import Project
import anaconda_project.prepare as prepare
from anaconda_project.internal.test.tmpfile_utils import (with_directory_contents, with_temporary_script_commandline,
with_directory_contents_completing_project_file,
complete_project_file_content)
from anaconda_project.local_state_file import LocalStateFile
from anaconda_project.project_file import DEFAULT_PROJECT_FILENAME, ProjectFile
from anaconda_project.project_lock_file import DEFAULT_PROJECT_LOCK_FILENAME
from anaconda_project.test.project_utils import project_no_dedicated_env
from anaconda_project.internal.test.fake_frontend import FakeFrontend
from anaconda_project.internal.test.test_conda_api import monkeypatch_conda_not_to_use_links
from anaconda_project.test.fake_server import fake_server
import anaconda_project.internal.keyring as keyring
import anaconda_project.internal.conda_api as conda_api
import anaconda_project.internal.plugins as plugins_api
def test_create(monkeypatch):
def check_create(dirname):
subdir = os.path.join(dirname, 'foo')
# dir doesn't exist
project = project_ops.create(subdir, make_directory=False)
assert [("Project directory '%s' does not exist." % subdir)] == project.problems
# failing to create the dir
def mock_failed_makedirs(path):
raise IOError("nope")
monkeypatch.setattr('os.makedirs', mock_failed_makedirs)
project = project_ops.create(subdir, make_directory=True)
assert [("Project directory '%s' does not exist." % subdir)] == project.problems
monkeypatch.undo()
# failing to create the .projectignore, but still create dir and anaconda-project.yml
from codecs import open as real_open
def mock_codecs_open(*args, **kwargs):
if args[0].endswith(".projectignore") and args[1] == 'w':
raise IOError("nope")
else:
return real_open(*args, **kwargs)
monkeypatch.setattr('codecs.open', mock_codecs_open)
project = project_ops.create(subdir, make_directory=True)
monkeypatch.undo()
assert [] == project.problems
assert os.path.isfile(os.path.join(subdir, DEFAULT_PROJECT_FILENAME))
assert not os.path.isfile(os.path.join(subdir, ".projectignore"))
# add .projectignore if we create again and it isn't there
project = project_ops.create(subdir, make_directory=True)
assert [] == project.problems
assert os.path.isfile(os.path.join(subdir, DEFAULT_PROJECT_FILENAME))
assert os.path.isfile(os.path.join(subdir, ".projectignore"))
assert sorted(list(project.env_specs.keys())) == sorted(['default'])
spec = project.env_specs['default']
assert spec.conda_packages == ('anaconda', )
assert spec.pip_packages == ()
assert spec.channels == ()
with_directory_contents(dict(), check_create)
def test_create_with_properties():
def check_create(dirname):
project = project_ops.create(dirname,
make_directory=False,
name='hello',
icon='something.png',
description="Hello World")
assert [] == project.problems
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_FILENAME))
assert project.name == 'hello'
assert project.icon == os.path.join(dirname, 'something.png')
assert project.description == "Hello World"
with_directory_contents({'something.png': 'not a real png'}, check_create)
def test_create_imports_environment_yml():
def check_create(dirname):
project = project_ops.create(dirname,
make_directory=False,
name='hello',
icon='something.png',
description="Hello World")
assert [] == project.problems
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_FILENAME))
assert sorted(list(project.env_specs.keys())) == sorted(['stuff'])
spec = project.env_specs['stuff']
assert spec.conda_packages == ('a', 'b')
assert spec.pip_packages == ('foo', )
assert spec.channels == ('bar', )
with_directory_contents(
{'something.png': 'not a real png',
"environment.yml": """
name: stuff
dependencies:
- a
- b
- pip:
- foo
channels:
- bar
"""}, check_create)
def test_create_imports_environment_yml_when_project_yml_exists_and_fix_problems():
def check_create(dirname):
project = project_ops.create(dirname,
make_directory=False,
name='hello',
icon='something.png',
description="Hello World",
fix_problems=True)
assert [] == project.problems
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_FILENAME))
assert sorted(list(project.env_specs.keys())) == sorted(['stuff'])
spec = project.env_specs['stuff']
assert spec.conda_packages == ('a', 'b')
assert spec.pip_packages == ('foo', )
assert spec.channels == ('bar', )
with_directory_contents(
{'something.png': 'not a real png',
"anaconda-project.yml": """
name: foo
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
""",
"environment.yml": """
name: stuff
dependencies:
- a
- b
- pip:
- foo
channels:
- bar
"""}, check_create)
def test_create_no_import_environment_yml_when_not_fix_problems():
def check_create(dirname):
project = project_ops.create(dirname,
make_directory=False,
name='hello',
icon='something.png',
description="Hello World",
fix_problems=False)
assert ["Environment spec 'stuff' from environment.yml is not in anaconda-project.yml."] == project.problems
with_directory_contents(
{'something.png': 'not a real png',
"anaconda-project.yml": """
name: foo
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
""",
"environment.yml": """
name: stuff
dependencies:
- a
- b
- pip:
- foo
channels:
- bar
"""}, check_create)
def test_create_with_invalid_environment_yml():
def check_create(dirname):
project = project_ops.create(dirname, make_directory=False)
project_filename = os.path.join(dirname, DEFAULT_PROJECT_FILENAME)
assert ["%s: invalid package specification: b $ 1.0" % DEFAULT_PROJECT_FILENAME] == project.problems
# we should NOT create the anaconda-project.yml if it would be broken
assert not os.path.isfile(project_filename)
with_directory_contents(
{'something.png': 'not a real png',
"environment.yml": """
name: stuff
dependencies:
- b $ 1.0
"""}, check_create)
def test_create_imports_notebook():
def check_create(dirname):
project = project_ops.create(dirname, make_directory=False, name='hello', description="Hello World")
assert [] == project.problems
assert [] == project.suggestions
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_FILENAME))
assert sorted(list(project.env_specs.keys())) == sorted(['default'])
spec = project.env_specs['default']
# we default to anaconda in the env
assert spec.conda_packages == ('anaconda', )
assert spec.channels == ()
assert ['foo.ipynb'] == list(project.commands.keys())
with_directory_contents({'foo.ipynb': '{}'}, check_create)
def test_set_properties():
def check(dirname):
project = project_ops.create(dirname, make_directory=False)
assert [] == project.problems
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_FILENAME))
assert project.name == os.path.basename(dirname)
assert project.icon is None
result = project_ops.set_properties(project, name='hello', icon='something.png', description="HELLOOOO")
assert result
assert project.name == 'hello'
assert project.icon == os.path.join(dirname, 'something.png')
assert project.description == "HELLOOOO"
# set to Unicode
result = project_ops.set_properties(project, name=u'hello', icon=u'something.png', description=u'HELLOOOO')
assert result
assert project.name == u'hello'
assert project.icon == os.path.join(dirname, 'something.png')
assert project.description == u"HELLOOOO"
with_directory_contents({'something.png': 'not a real png'}, check)
def test_set_properties_with_project_file_problems():
def check(dirname):
project = Project(dirname)
status = project_ops.set_properties(project, name='foo')
assert not status
assert ["%s: variables section contains wrong value type 42, should be dict or list of requirements" %
project.project_file.basename] == status.errors
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: "variables:\n 42"}, check)
def test_set_invalid_name():
def check(dirname):
project = project_ops.create(dirname, make_directory=False)
assert [] == project.problems
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_FILENAME))
assert project.name == os.path.basename(dirname)
assert project.icon is None
result = project_ops.set_properties(project, name=' ')
print(repr(result))
assert not result
assert 'Failed to set project properties.' == result.status_description
assert ["%s: name: field is an empty or all-whitespace string." % (DEFAULT_PROJECT_FILENAME)] == result.errors
assert [] == project.problems
assert project.name == os.path.basename(dirname)
assert project.icon is None
with_directory_contents(dict(), check)
def test_set_invalid_icon():
def check(dirname):
project = project_ops.create(dirname, make_directory=False)
assert [] == project.problems
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_FILENAME))
assert project.name == os.path.basename(dirname)
assert project.icon is None
result = project_ops.set_properties(project, icon='foobar')
assert not result
assert 'Failed to set project properties.' == result.status_description
assert ["Icon file %s does not exist." % os.path.join(dirname, 'foobar')] == result.errors
assert [] == project.problems
assert project.name == os.path.basename(dirname)
assert project.icon is None
with_directory_contents(dict(), check)
def test_add_variables():
def check_add_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project, None, ['foo', 'baz'], dict(foo='bar'))
assert status
req = project.find_requirements(project.default_env_spec_name, env_var='foo')[0]
assert req.options['default'] == 'bar'
req = project.find_requirements(project.default_env_spec_name, env_var='baz')[0]
assert req.options.get('default') is None
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: ""}, check_add_var)
def test_add_variables_to_env_spec():
def check_add_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project, 'myspec', ['foo', 'baz'], dict(foo='bar'))
assert status
req = project.find_requirements('myspec', env_var='foo')[0]
assert req.options['default'] == 'bar'
assert [] == project.find_requirements('default', env_var='foo')
assert [] == project.find_requirements('default', env_var='baz')
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
default:
packages: [python]
channels: []
myspec:
packages: [python]
channels: []
"""}, check_add_var)
def test_add_variables_bad_env_spec():
def check_add_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project, 'nope', ['foo', 'baz'], dict(foo='bar'))
assert "Environment spec nope doesn't exist." == status.status_description
assert not status
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: ""}, check_add_var)
def test_add_variables_existing_download():
def check_set_var(dirname):
project = project_no_dedicated_env(dirname)
project_ops.add_variables(project, None, ['foo', 'baz'])
re_loaded = ProjectFile.load_for_directory(project.directory_path)
assert dict(foo=None, baz=None, preset=None) == re_loaded.get_value(['variables'])
assert re_loaded.get_value(['downloads', 'datafile']) == 'http://localhost:8000/data.tgz'
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo']) is None
assert local_state.get_value(['variables', 'baz']) is None
assert local_state.get_value(['variables', 'datafile']) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('variables:\n'
' preset: null\n'
'downloads:\n'
' datafile: http://localhost:8000/data.tgz')}, check_set_var)
def test_add_variables_existing_options():
def check_set_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project,
None,
['foo', 'baz', 'blah', 'woot', 'woot2'],
dict(foo='bar',
baz='qux',
woot2='updated'))
assert status
re_loaded = ProjectFile.load_for_directory(project.directory_path)
foo = re_loaded.get_value(['variables', 'foo'])
assert isinstance(foo, dict)
assert 'something' in foo
assert foo['something'] == 42
baz = re_loaded.get_value(['variables', 'baz'])
assert isinstance(baz, dict)
assert 'default' in baz
assert baz['default'] == 'qux'
blah = re_loaded.get_value(['variables', 'blah'])
assert isinstance(blah, dict)
assert 'default' in blah
assert blah['default'] == 'unchanged'
woot = re_loaded.get_value(['variables', 'woot'])
assert woot == 'world'
woot2 = re_loaded.get_value(['variables', 'woot2'])
assert woot2 == 'updated'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('variables:\n'
' foo: { something: 42 }\n'
' baz: { default: "hello" }\n'
' blah: { default: "unchanged" }\n'
' woot: "world"\n'
' woot2: "changed"\n'
'downloads:\n'
' datafile: http://localhost:8000/data.tgz')}, check_set_var)
def test_remove_variables():
def check_remove_var(dirname):
project = project_no_dedicated_env(dirname)
project_ops.remove_variables(project, None, ['foo', 'bar'])
re_loaded = project.project_file.load_for_directory(project.directory_path)
assert dict() == re_loaded.get_value(['variables'])
assert re_loaded.get_value(['variables', 'foo']) is None
assert re_loaded.get_value(['variables', 'bar']) is None
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo']) is None
assert local_state.get_value(['variables', 'bar']) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('variables:\n'
' foo: baz\n bar: qux')}, check_remove_var)
def test_remove_variables_with_env_spec():
def check_remove_var(dirname):
project = project_no_dedicated_env(dirname)
pf = project.project_file
assert pf.get_value(['env_specs', 'myspec', 'variables']) == dict(foo='baz', bar='qux')
assert pf.get_value(['env_specs', 'myspec', 'variables', 'foo']) is not None
assert pf.get_value(['env_specs', 'myspec', 'variables', 'bar']) is not None
project_ops.remove_variables(project, 'myspec', ['foo', 'bar'])
re_loaded = project.project_file.load_for_directory(project.directory_path)
assert re_loaded.get_value(['env_specs', 'myspec', 'variables']) == {}
assert re_loaded.get_value(['env_specs', 'myspec', 'variables', 'foo']) is None
assert re_loaded.get_value(['env_specs', 'myspec', 'variables', 'bar']) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
default:
packages: [python]
channels: []
myspec:
packages: [python]
channels: []
variables:
foo: baz
bar: qux
"""}, check_remove_var)
def test_set_variables():
def check_set_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project, None, ['foo', 'baz'], dict(foo='no', baz='nope'))
assert status
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo']) is None
assert local_state.get_value(['variables', 'baz']) is None
status = project_ops.set_variables(project, None, [('foo', 'bar'), ('baz', 'qux')])
assert status
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo']) == 'bar'
assert local_state.get_value(['variables', 'baz']) == 'qux'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('variables:\n'
' preset: null')}, check_set_var)
def test_set_variables_nonexistent():
def check_set_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.set_variables(project, None, [('foo', 'bar'), ('baz', 'qux')])
assert not status
assert status.status_description == "Could not set variables."
assert status.errors == ["Variable foo does not exist in the project.",
"Variable baz does not exist in the project."]
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: ''}, check_set_var)
def test_set_variables_cannot_create_environment(monkeypatch):
def mock_create(prefix, pkgs, channels, stdout_callback, stderr_callback):
from anaconda_project.internal import conda_api
raise conda_api.CondaError("error_from_conda_create")
monkeypatch.setattr('anaconda_project.internal.conda_api.create', mock_create)
def check_set_var(dirname):
project = Project(dirname)
status = project_ops.set_variables(project, None, [('foo', 'bar'), ('baz', 'qux')])
assert not status
expected_env_path = os.path.join(dirname, 'envs', 'default')
assert status.status_description == ("'%s' doesn't look like it contains a Conda environment yet." %
expected_env_path)
assert status.errors == ["Failed to create environment at %s: error_from_conda_create" % expected_env_path]
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: ''}, check_set_var)
def test_unset_variables():
def check_unset_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project, None, ['foo', 'baz'])
assert status
status = project_ops.set_variables(project, None, [('foo', 'no'), ('baz', 'nope')])
assert status
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo']) == 'no'
assert local_state.get_value(['variables', 'baz']) == 'nope'
status = project_ops.unset_variables(project, None, ['foo', 'baz'])
assert status
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo']) is None
assert local_state.get_value(['variables', 'baz']) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('variables:\n'
' preset: null')}, check_unset_var)
def test_set_and_unset_variables_encrypted():
keyring.reset_keyring_module()
def check_set_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project,
None,
['foo_PASSWORD', 'baz_SECRET'],
dict(foo_PASSWORD='no',
baz_SECRET='nope'))
assert status
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo_PASSWORD']) is None
assert local_state.get_value(['variables', 'baz_SECRET']) is None
assert set(keyring.fallback_data().values()) == set()
status = project_ops.set_variables(project, None, [('foo_PASSWORD', 'bar'), ('baz_SECRET', 'qux')])
assert status
local_state = LocalStateFile.load_for_directory(dirname)
# the encrypted variables are NOT in local state
assert local_state.get_value(['variables', 'foo_PASSWORD']) is None
assert local_state.get_value(['variables', 'baz_SECRET']) is None
assert set(keyring.fallback_data().values()) == set(['bar', 'qux'])
status = project_ops.unset_variables(project, None, ['foo_PASSWORD', 'baz_SECRET'])
assert status
assert set(keyring.fallback_data().values()) == set()
try:
keyring.enable_fallback_keyring()
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('variables:\n'
' preset: null')}, check_set_var)
finally:
keyring.disable_fallback_keyring()
def test_set_and_unset_variables_some_encrypted():
keyring.reset_keyring_module()
def check_set_var(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_variables(project,
None,
['foo_PASSWORD', 'baz_SECRET', 'woo'],
dict(foo_PASSWORD='no',
baz_SECRET='nope',
woo='something'))
assert status
local_state = LocalStateFile.load_for_directory(dirname)
assert local_state.get_value(['variables', 'foo_PASSWORD']) is None
assert local_state.get_value(['variables', 'baz_SECRET']) is None
assert local_state.get_value(['variables', 'woo']) is None
assert set(keyring.fallback_data().values()) == set()
status = project_ops.set_variables(project, None, [('foo_PASSWORD', 'bar'), ('baz_SECRET', 'qux'),
('woo', 'w00t')])
assert status
local_state = LocalStateFile.load_for_directory(dirname)
# the encrypted variables are NOT in local state
assert local_state.get_value(['variables', 'foo_PASSWORD']) is None
assert local_state.get_value(['variables', 'baz_SECRET']) is None
assert local_state.get_value(['variables', 'woo']) == 'w00t'
assert set(keyring.fallback_data().values()) == set(['bar', 'qux'])
status = project_ops.unset_variables(project, None, ['foo_PASSWORD', 'baz_SECRET', 'woo'])
assert status
local_state = LocalStateFile.load_for_directory(dirname)
assert set(keyring.fallback_data().values()) == set()
assert local_state.get_value(['variables', 'woo']) is None
try:
keyring.enable_fallback_keyring()
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('variables:\n'
' preset: null')}, check_set_var)
finally:
keyring.disable_fallback_keyring()
def _test_add_command_line(command_type):
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'default', command_type, 'echo "test"')
assert result
re_loaded = project.project_file.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'default'])
assert command[command_type] == 'echo "test"'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' %s: echo "pass"\n') % command_type}, check_add_command)
def test_add_command_shell():
_test_add_command_line("unix")
def test_add_command_windows():
_test_add_command_line("windows")
def _test_add_command_windows_to_shell(command_type):
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'default', 'windows', 'echo "test"')
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'default'])
assert command['windows'] == 'echo "test"'
assert command['unix'] == 'echo "pass"'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n') % command_type}, check_add_command)
def test_add_command_bokeh():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'bokeh_test', 'bokeh_app', 'file.py')
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert len(command.keys()) == 2
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'default'
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: ""}, check_add_command)
def test_add_command_bokeh_overwrites():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'bokeh_test', 'bokeh_app', 'file.py')
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert len(command.keys()) == 2
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'default'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' bokeh_test:\n'
' bokeh_app: replaced.py\n'
'packages:\n'
' - bokeh\n')}, check_add_command)
def test_add_command_sets_env_spec():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'bokeh_test', 'bokeh_app', 'file.py', env_spec_name='foo')
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'foo'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('env_specs:\n'
' foo: { "packages" : ["bokeh"] }\n'
'commands:\n'
' bokeh_test:\n'
' bokeh_app: replaced.py\n')}, check_add_command)
def test_add_command_leaves_env_spec():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'bokeh_test', 'bokeh_app', 'file.py', env_spec_name=None)
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'foo'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('env_specs:\n'
' foo: { "packages" : ["bokeh"] }\n'
'commands:\n'
' bokeh_test:\n'
' env_spec: "foo"\n'
' bokeh_app: replaced.py\n')}, check_add_command)
def test_add_command_generates_env_spec_suggestion():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
assert project.problems == []
assert project.suggestions == []
# the 'bar' env spec does not have bokeh in it
assert len(project.env_specs['bar'].conda_package_names_set) == 0
# We are changing the env spec from 'foo' to 'bar'
result = project_ops.add_command(project, 'bokeh_test', 'bokeh_app', 'file.py', env_spec_name='bar')
if not result:
assert result.errors == [] # prints the errors
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'bar'
assert re_loaded.get_value(['env_specs', 'bar', 'packages']) is None
assert project.problems == []
assert project.suggestions == [('%s: Command ' % project.project_file.basename) +
'bokeh_test uses env spec bar which does not have the packages: bokeh']
project.fix_problems_and_suggestions()
project.project_file.save()
re_loaded = ProjectFile.load_for_directory(project.directory_path)
assert re_loaded.get_value(['env_specs', 'bar', 'packages']) == ['bokeh']
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('env_specs:\n'
' foo: { "packages" : ["bokeh"] }\n'
' bar: {}\n'
'commands:\n'
' bokeh_test:\n'
' env_spec: "foo"\n'
' bokeh_app: replaced.py\n')}, check_add_command)
def test_add_command_leaves_supports_http_options():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project,
'bokeh_test',
'bokeh_app',
'file.py',
env_spec_name=None,
supports_http_options=None)
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'foo'
assert command['supports_http_options'] is False
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('env_specs:\n'
' foo: { "packages" : ["bokeh"] }\n'
'commands:\n'
' bokeh_test:\n'
' supports_http_options: false\n'
' bokeh_app: replaced.py\n')}, check_add_command)
def test_add_command_leaves_supports_http_options_unset():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project,
'bokeh_test',
'bokeh_app',
'file.py',
env_spec_name=None,
supports_http_options=None)
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'foo'
assert 'supports_http_options' not in command
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('env_specs:\n'
' foo: { "packages" : ["bokeh"] }\n'
'commands:\n'
' bokeh_test:\n'
' bokeh_app: replaced.py\n')}, check_add_command)
def test_add_command_modifies_supports_http_options():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project,
'bokeh_test',
'bokeh_app',
'file.py',
env_spec_name=None,
supports_http_options=True)
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'bokeh_test'])
assert command['bokeh_app'] == 'file.py'
assert command['env_spec'] == 'foo'
assert command['supports_http_options'] is True
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('env_specs:\n'
' foo: { "packages" : ["bokeh"] }\n'
'commands:\n'
' bokeh_test:\n'
' supports_http_options: false\n'
' bokeh_app: replaced.py\n')}, check_add_command)
def test_add_command_notebook():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'notebook_test', 'notebook', 'foo.ipynb')
assert [] == result.errors
assert result
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'notebook_test'])
assert len(command.keys()) == 3
assert command['notebook'] == 'foo.ipynb'
assert command['env_spec'] == 'default'
assert command['registers_fusion_function'] is True
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: "",
'foo.ipynb': """
{
"cells" : [ { "source" : [ "@fusion.register\\n", "def foo():\\n", " pass\\n" ] } ]
}
"""}, check_add_command)
def test_add_command_broken_notebook():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'default', 'notebook', 'foo.ipynb')
assert len(result.errors) > 0
assert not result
assert 'Failed to read or parse' in result.errors[0]
assert result.status_description == 'Unable to add the command.'
with_directory_contents_completing_project_file({"foo.ipynb": "not valid json"}, check_add_command)
def test_add_command_invalid_type():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
with pytest.raises(ValueError) as excinfo:
project_ops.add_command(project, 'default', 'foo', 'echo "test"')
assert 'Invalid command type foo' in str(excinfo.value)
with_directory_contents_completing_project_file(dict(), check_add_command)
def test_add_command_conflicting_type():
def check_add_command(dirname):
project = project_no_dedicated_env(dirname)
result = project_ops.add_command(project, 'default', 'bokeh_app', 'myapp.py')
assert [("%s: command 'default' has multiple commands in it, 'bokeh_app' can't go with 'unix'" %
project.project_file.basename)] == result.errors
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'default'])
assert command['unix'] == 'echo "pass"'
assert 'bokeh_app' not in command
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check_add_command)
def test_update_command_with_project_file_problems():
def check(dirname):
project = Project(dirname)
status = project_ops.update_command(project, 'foo', 'unix', 'echo hello')
assert not status
assert ["%s: variables section contains wrong value type 42, should be dict or list of requirements" %
project.project_file.basename] == status.errors
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: "variables:\n 42"}, check)
def test_update_command_invalid_type():
def check(dirname):
project = project_no_dedicated_env(dirname)
with pytest.raises(ValueError) as excinfo:
project_ops.update_command(project, 'default', 'foo', 'echo "test"')
assert 'Invalid command type foo' in str(excinfo.value)
with_directory_contents_completing_project_file(dict(), check)
def test_update_command_rename():
file_content = complete_project_file_content('commands:\n # this is a comment\n' +
' foo:\n # another comment\n unix: echo "pass"\n')
def check(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.update_command(project, 'foo', new_name='bar')
print(status.status_description)
print(status.errors)
assert status
project.project_file.load()
with open(os.path.join(dirname, DEFAULT_PROJECT_FILENAME)) as proj_file:
contents = proj_file.read()
assert file_content.replace('foo:', 'bar:') == contents
assert '# this is a comment' in contents
assert '# another comment' in contents
assert project.commands['bar']
assert 'foo' not in project.commands
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: file_content}, check)
def test_update_command_no_command():
def check(dirname):
project = project_no_dedicated_env(dirname)
with pytest.raises(ValueError) as excinfo:
project_ops.update_command(project, 'default', 'bokeh_app')
assert 'must also specify the command' in str(excinfo.value)
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check)
def test_update_command_does_not_exist():
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
result = project_ops.update_command(project, 'myapp', 'bokeh_app', 'myapp.py')
assert not result
assert ["No command 'myapp' found."] == result.errors
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check)
def test_update_command_conflicting_type():
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert 'default' in project.commands
command = project.commands['default']
assert command.bokeh_app is None
assert command.unix_shell_commandline == 'echo "pass"'
result = project_ops.update_command(project, 'default', 'bokeh_app', 'myapp.py')
assert result
assert 'default' in project.commands
command = project.commands['default']
assert command.bokeh_app == 'myapp.py'
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'default'])
assert command['bokeh_app'] == 'myapp.py'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check)
def test_update_command_same_type():
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "pass"'
result = project_ops.update_command(project, 'default', 'unix', 'echo "blah"')
assert result
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "blah"'
re_loaded = ProjectFile.load_for_directory(project.directory_path)
command = re_loaded.get_value(['commands', 'default'])
assert command['unix'] == 'echo "blah"'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check)
def test_update_command_add_windows_alongside_shell():
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "pass"'
result = project_ops.update_command(project, 'default', 'windows', 'echo "blah"')
assert result
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "pass"'
assert command.windows_cmd_commandline == 'echo "blah"'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check)
def test_update_command_add_shell_alongside_windows():
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert 'default' in project.commands
command = project.commands['default']
assert command.windows_cmd_commandline == 'echo "blah"'
result = project_ops.update_command(project, 'default', 'unix', 'echo "pass"')
assert result
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "pass"'
assert command.windows_cmd_commandline == 'echo "blah"'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' windows: echo "blah"\n')}, check)
def test_update_command_empty_update():
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "pass"'
result = project_ops.update_command(project, 'default')
assert result
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "pass"'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check)
def test_update_command_to_non_string_value():
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert 'default' in project.commands
command = project.commands['default']
assert command.bokeh_app is None
assert command.unix_shell_commandline == 'echo "pass"'
result = project_ops.update_command(project, 'default', 'notebook', 42)
assert not result
assert [("%s: command 'default' attribute 'notebook' should be a string not '42'" %
project.project_file.basename)] == result.errors
assert 'default' in project.commands
command = project.commands['default']
assert command.unix_shell_commandline == 'echo "pass"'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: ('commands:\n'
' default:\n'
' unix: echo "pass"\n')}, check)
def _monkeypatch_download_file(monkeypatch, dirname, filename='MYDATA', checksum=None):
@gen.coroutine
def mock_downloader_run(self, loop):
class Res:
pass
res = Res()
res.code = 200
with open(os.path.join(dirname, filename), 'w') as out:
out.write('data')
if checksum:
self._hash = checksum
raise gen.Return(res)
monkeypatch.setattr("anaconda_project.internal.http_client.FileDownloader.run", mock_downloader_run)
def _monkeypatch_download_file_fails(monkeypatch, dirname):
@gen.coroutine
def mock_downloader_run(self, loop):
class Res:
pass
res = Res()
res.code = 404
raise gen.Return(res)
monkeypatch.setattr("anaconda_project.internal.http_client.FileDownloader.run", mock_downloader_run)
def _monkeypatch_download_file_fails_to_get_http_response(monkeypatch, dirname):
@gen.coroutine
def mock_downloader_run(self, loop):
self._errors.append("Nope nope nope")
raise gen.Return(None)
monkeypatch.setattr("anaconda_project.internal.http_client.FileDownloader.run", mock_downloader_run)
def test_add_download(monkeypatch):
def check(dirname):
_monkeypatch_download_file(monkeypatch, dirname)
project = project_no_dedicated_env(dirname)
status = project_ops.add_download(project, None, 'MYDATA', 'http://localhost:123456')
assert os.path.isfile(os.path.join(dirname, "MYDATA"))
assert status
assert [] == status.errors
# be sure download was added to the file and saved
project2 = project_no_dedicated_env(dirname)
assert {"url": 'http://localhost:123456'} == project2.project_file.get_value(['downloads', 'MYDATA'])
with_directory_contents_completing_project_file(dict(), check)
def test_add_download_to_env_spec(monkeypatch):
def check(dirname):
_monkeypatch_download_file(monkeypatch, dirname)
project = project_no_dedicated_env(dirname)
status = project_ops.add_download(project, 'myspec', 'MYDATA', 'http://localhost:123456')
assert os.path.isfile(os.path.join(dirname, "MYDATA"))
assert status
assert [] == status.errors
# be sure download was added to the file and saved
project2 = project_no_dedicated_env(dirname)
assert {"url": 'http://localhost:123456'
} == project2.project_file.get_value(['env_specs', 'myspec', 'downloads', 'MYDATA'])
with_directory_contents_completing_project_file(
{
DEFAULT_PROJECT_FILENAME: """
env_specs:
default:
packages: [python]
channels: []
myspec:
packages: [python]
channels: []
"""
}, check)
def test_add_download_with_filename(monkeypatch):
def check(dirname):
FILENAME = 'TEST_FILENAME'
_monkeypatch_download_file(monkeypatch, dirname, FILENAME)
project = project_no_dedicated_env(dirname)
status = project_ops.add_download(project, None, 'MYDATA', 'http://localhost:123456', FILENAME)
assert os.path.isfile(os.path.join(dirname, FILENAME))
assert status
assert [] == status.errors
# be sure download was added to the file and saved
project2 = project_no_dedicated_env(dirname)
requirement = project2.project_file.get_value(['downloads', 'MYDATA'])
assert requirement['url'] == 'http://localhost:123456'
assert requirement['filename'] == FILENAME
with_directory_contents_completing_project_file(dict(), check)
def test_add_download_with_checksum(monkeypatch):
def check(dirname):
FILENAME = 'MYDATA'
_monkeypatch_download_file(monkeypatch, dirname, checksum='DIGEST')
project = project_no_dedicated_env(dirname)
status = project_ops.add_download(project,
None,
'MYDATA',
'http://localhost:123456',
hash_algorithm='md5',
hash_value='DIGEST')
assert os.path.isfile(os.path.join(dirname, FILENAME))
assert status
assert [] == status.errors
# be sure download was added to the file and saved
project2 = project_no_dedicated_env(dirname)
requirement = project2.project_file.get_value(['downloads', 'MYDATA'])
assert requirement['url'] == 'http://localhost:123456'
assert requirement['md5'] == 'DIGEST'
with_directory_contents_completing_project_file(dict(), check)
def test_add_download_which_already_exists(monkeypatch):
def check(dirname):
_monkeypatch_download_file(monkeypatch, dirname, filename='foobar')
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert dict(url='http://localhost:56789',
filename='foobar') == dict(project.project_file.get_value(['downloads', 'MYDATA']))
status = project_ops.add_download(project, None, 'MYDATA', 'http://localhost:123456')
assert os.path.isfile(os.path.join(dirname, "foobar"))
assert status
assert [] == status.errors
# be sure download was added to the file and saved, and
# the filename attribute was kept
project2 = project_no_dedicated_env(dirname)
assert dict(url='http://localhost:123456',
filename='foobar') == dict(project2.project_file.get_value(['downloads', 'MYDATA']))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: 'downloads:\n MYDATA: { url: "http://localhost:56789", filename: foobar }'},
check)
def test_add_download_which_already_exists_with_fname(monkeypatch):
def check(dirname):
_monkeypatch_download_file(monkeypatch, dirname, filename='bazqux')
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert dict(url='http://localhost:56789',
filename='foobar') == dict(project.project_file.get_value(['downloads', 'MYDATA']))
status = project_ops.add_download(project, None, 'MYDATA', 'http://localhost:123456', filename="bazqux")
assert os.path.isfile(os.path.join(dirname, "bazqux"))
assert status
assert [] == status.errors
# be sure download was added to the file and saved, and
# the filename attribute was kept
project2 = project_no_dedicated_env(dirname)
assert dict(url='http://localhost:123456',
filename='bazqux') == dict(project2.project_file.get_value(['downloads', 'MYDATA']))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: 'downloads:\n MYDATA: { url: "http://localhost:56789", filename: foobar }'},
check)
def test_add_download_fails(monkeypatch):
def check(dirname):
_monkeypatch_download_file_fails(monkeypatch, dirname)
project = project_no_dedicated_env(dirname)
status = project_ops.add_download(project, None, 'MYDATA', 'http://localhost:123456')
assert not os.path.isfile(os.path.join(dirname, "MYDATA"))
assert not status
assert ['Error downloading http://localhost:123456: response code 404'] == status.errors
# be sure download was NOT added to the file
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(['downloads', 'MYDATA']) is None
# should have been dropped from the original project object also
assert project.project_file.get_value(['downloads', 'MYDATA']) is None
with_directory_contents_completing_project_file(dict(), check)
def test_add_download_fails_to_get_http_response(monkeypatch):
def check(dirname):
_monkeypatch_download_file_fails_to_get_http_response(monkeypatch, dirname)
project = project_no_dedicated_env(dirname)
status = project_ops.add_download(project, None, 'MYDATA', 'http://localhost:123456')
assert not os.path.isfile(os.path.join(dirname, "MYDATA"))
assert not status
assert ['Nope nope nope'] == status.errors
# be sure download was NOT added to the file
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(['downloads', 'MYDATA']) is None
# should have been dropped from the original project object also
assert project.project_file.get_value(['downloads', 'MYDATA']) is None
with_directory_contents_completing_project_file(dict(), check)
def test_add_download_with_project_file_problems():
def check(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.add_download(project, None, 'MYDATA', 'http://localhost:123456')
assert not os.path.isfile(os.path.join(dirname, "MYDATA"))
assert not status
assert ["%s: variables section contains wrong value type 42, should be dict or list of requirements" %
project.project_file.basename] == status.errors
# be sure download was NOT added to the file
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(['downloads', 'MYDATA']) is None
# should have been dropped from the original project object also
assert project.project_file.get_value(['downloads', 'MYDATA']) is None
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: "variables:\n 42"}, check)
def test_remove_download(monkeypatch):
def check(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.remove_download(project, None, 'MYDATA', prepare_result=None)
assert status
assert [] == status.errors
# be sure it was removed
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(['downloads', 'MYDATA']) is None
assert not os.path.isfile(os.path.join(dirname, "MYDATA"))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
downloads:
MYDATA: "http://localhost:123456"
"""}, check)
def test_remove_download_with_prepare(monkeypatch):
def check(dirname):
_monkeypatch_download_file(monkeypatch, dirname)
project = project_no_dedicated_env(dirname)
result = prepare.prepare_without_interaction(project)
assert result
assert os.path.isfile(os.path.join(dirname, "MYDATA"))
status = project_ops.remove_download(project, None, 'MYDATA', prepare_result=result)
assert status
assert [] == status.errors
assert not os.path.isfile(os.path.join(dirname, "MYDATA"))
# be sure download was removed
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(['downloads', 'MYDATA']) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
downloads:
MYDATA: "http://localhost:123456"
"""}, check)
def test_remove_download_with_env_spec(monkeypatch):
def check(dirname):
config_path = ['env_specs', 'myspec', 'downloads', 'MYDATA']
project = project_no_dedicated_env(dirname)
assert "http://localhost:123456" == project.project_file.get_value(config_path)
status = project_ops.remove_download(project, 'myspec', 'MYDATA', prepare_result=None)
assert status
assert [] == status.errors
# be sure it was removed
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(config_path) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
default:
packages: [python]
channels: []
myspec:
packages: [python]
channels: []
downloads:
MYDATA: "http://localhost:123456"
"""}, check)
# the other add_env_spec tests use a mock CondaManager, but we want to have
# one test that does the real thing to be sure it works.
@pytest.mark.slow
def test_add_env_spec_with_real_conda_manager(monkeypatch):
monkeypatch_conda_not_to_use_links(monkeypatch)
def check(dirname):
project = Project(dirname)
status = project_ops.add_env_spec(project, name='foo', packages=['numpy'], channels=[])
if not status:
print(status.status_description)
print(repr(status.errors))
assert status
assert 'foo' in project.env_specs
env = project.env_specs['foo']
assert env.lock_set.enabled
assert os.path.isfile(os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME))
# be sure it was really done
project2 = Project(dirname)
env_commented_map = project2.project_file.get_value(['env_specs', 'foo'])
assert dict(packages=['numpy'], channels=[]) == dict(env_commented_map)
assert os.path.isdir(os.path.join(dirname, 'envs', 'foo', 'conda-meta'))
with_directory_contents_completing_project_file({DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def _push_conda_test(fix_works, missing_packages, wrong_version_packages, remove_error, resolve_dependencies,
resolve_dependencies_error):
class TestCondaManager(CondaManager):
def __init__(self, frontend):
self.fix_works = fix_works
self.fixed = False
self.deviations = CondaEnvironmentDeviations(summary="test deviation",
missing_packages=missing_packages,
wrong_version_packages=wrong_version_packages,
missing_pip_packages=(),
wrong_version_pip_packages=())
def resolve_dependencies(self, package_specs, channels, platforms):
if resolve_dependencies_error is not None:
raise CondaManagerError(resolve_dependencies_error)
else:
return CondaLockSet(resolve_dependencies, platforms=platforms)
def find_environment_deviations(self, prefix, spec):
if self.fixed:
return CondaEnvironmentDeviations(summary="fixed",
missing_packages=(),
wrong_version_packages=(),
missing_pip_packages=(),
wrong_version_pip_packages=())
else:
return self.deviations
def fix_environment_deviations(self, prefix, spec, deviations=None, create=True):
if self.fix_works:
self.fixed = True
def remove_packages(self, prefix, packages):
if remove_error is not None:
raise CondaManagerError(remove_error)
push_conda_manager_class(TestCondaManager)
def _pop_conda_test():
pop_conda_manager_class()
def _with_conda_test(f,
fix_works=True,
missing_packages=(),
wrong_version_packages=(),
remove_error=None,
resolve_dependencies=None,
resolve_dependencies_error=None):
try:
if resolve_dependencies is None:
resolve_dependencies = {'all': []}
_push_conda_test(fix_works, missing_packages, wrong_version_packages, remove_error, resolve_dependencies,
resolve_dependencies_error)
f()
finally:
_pop_conda_test()
def test_add_env_spec():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_env_spec(project, name='foo', packages=[], channels=[])
assert status
# with "None" for the args
status = project_ops.add_env_spec(project, name='bar', packages=None, channels=None)
assert status
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
assert dict(packages=[], channels=[]) == dict(project2.project_file.get_value(['env_specs', 'foo']))
assert dict(packages=[], channels=[]) == dict(project2.project_file.get_value(['env_specs', 'bar']))
assert dict(
locked=True,
env_spec_hash='a30f02c961ef4f3fe07ceb09e0906394c3885a79',
packages=dict(all=[]),
platforms=['linux-64', 'osx-64', 'win-64']) == dict(project2.lock_file.get_value(['env_specs', 'foo']))
assert dict(
locked=True,
env_spec_hash='a30f02c961ef4f3fe07ceb09e0906394c3885a79',
packages=dict(all=[]),
platforms=['linux-64', 'osx-64', 'win-64']) == dict(project2.lock_file.get_value(['env_specs', 'bar']))
with_directory_contents_completing_project_file({DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_env_spec_no_global_platforms():
def check(dirname):
def attempt():
project = Project(dirname)
platforms = project.project_file.get_value(['platforms'])
project.project_file.unset_value(['platforms'])
project.project_file.set_value(['env_specs', 'default', 'platforms'], platforms)
project.save()
assert project.project_file.get_value(['platforms']) is None
assert len(project.env_specs['default'].platforms) > 0
status = project_ops.add_env_spec(project, name='foo', packages=[], channels=[])
assert status
assert ('linux-64', 'osx-64', 'win-64') == project.env_specs['foo'].platforms
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
assert dict(
packages=[],
channels=[],
platforms=['linux-64', 'osx-64', 'win-64']) == dict(project2.project_file.get_value(['env_specs', 'foo']))
assert dict(
locked=True,
env_spec_hash='a30f02c961ef4f3fe07ceb09e0906394c3885a79',
packages=dict(all=[]),
platforms=['linux-64', 'osx-64', 'win-64']) == dict(project2.lock_file.get_value(['env_specs', 'foo']))
with_directory_contents_completing_project_file({DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_env_spec_with_packages_and_channels():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_env_spec(project,
name='foo',
packages=['a', 'b', 'c'],
channels=['c1', 'c2', 'c3'])
assert status
_with_conda_test(attempt)
# be sure download was added to the file and saved
project2 = Project(dirname)
assert dict(packages=['a', 'b', 'c'],
channels=['c1', 'c2', 'c3']) == dict(project2.project_file.get_value(['env_specs', 'foo']))
env_spec = project2.env_specs['foo']
assert env_spec.name == 'foo'
assert env_spec.lock_set.enabled
assert env_spec.lock_set.equivalent_to(CondaLockSet({'all': []}, platforms=['linux-64', 'osx-64', 'win-64']))
with_directory_contents_completing_project_file({DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_env_spec_extending_existing_lists():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_env_spec(project,
name='foo',
packages=['a', 'b', 'c'],
channels=['c1', 'c2', 'c3'])
assert status
_with_conda_test(attempt)
# be sure download was added to the file and saved
project2 = Project(dirname)
assert dict(packages=['b', 'a', 'c'],
channels=['c3', 'c1', 'c2']) == dict(project2.project_file.get_value(['env_specs', 'foo']))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
foo:
packages: [ 'b' ]
channels: [ 'c3']
"""}, check)
def test_add_env_spec_extending_existing_lists_with_versions():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_env_spec(project,
name='foo',
packages=['a', 'b=2.0', 'c'],
channels=['c1', 'c2', 'c3'])
assert status
_with_conda_test(attempt)
# be sure download was added to the file and saved
project2 = Project(dirname)
assert dict(packages=['b=2.0', 'a', 'c'],
channels=['c3', 'c1', 'c2']) == dict(project2.project_file.get_value(['env_specs', 'foo']))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
foo:
packages: [ 'b=1.0' ]
channels: [ 'c3']
"""}, check)
def test_add_env_spec_cannot_resolve_deps():
def check(dirname):
def attempt():
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.add_env_spec(project, name='foo', packages=[], channels=[])
assert status.status_description == "Error resolving dependencies for foo: NOPE."
assert status.errors == []
assert project.frontend.logs == []
assert not status
_with_conda_test(attempt, resolve_dependencies_error="NOPE")
# be sure we didn't make the config changes
project2 = Project(dirname)
assert project2.project_file.get_value(['env_specs', 'foo']) is None
assert project2.lock_file.get_value(['env_specs', 'foo']) is None
with_directory_contents_completing_project_file({DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_remove_env_spec():
def check(dirname):
def attempt():
project = Project(dirname)
assert project.lock_file.get_value(['env_specs', 'hello'], None) is not None
assert 'hello' in project.env_specs
env = project.env_specs['hello']
assert env.lock_set.enabled
assert env.lock_set.package_specs_for_current_platform == ('a=1.0=1', )
status = project_ops.remove_env_spec(project, name='hello')
assert [] == status.errors
assert status.status_description == "Nothing to clean up for environment 'hello'."
assert status
assert 'hello' not in project.env_specs
_with_conda_test(attempt)
# we should have cleaned up the lock file too
project2 = Project(dirname)
assert project2.lock_file.get_value(['env_specs', 'hello'], None) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: foo
env_specs:
hello:
packages:
- a
another:
packages:
- b
""",
DEFAULT_PROJECT_LOCK_FILENAME: """
locking_enabled: true
env_specs:
hello:
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
packages:
all:
- a=1.0=1
"""}, check)
def test_remove_only_env_spec():
def check(dirname):
def attempt():
project = Project(dirname)
assert 'hello' in project.env_specs
status = project_ops.remove_env_spec(project, name='hello')
assert [] == status.errors
assert status.status_description == (
"At least one environment spec is required; " + "'hello' is the only one left.")
assert not status
assert 'hello' in project.env_specs
_with_conda_test(attempt)
# we should have cleaned up the lock file too
project2 = Project(dirname)
assert project2.lock_file.get_value(['env_specs', 'hello'], None) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: foo
env_specs:
hello:
packages:
- a
"""}, check)
def test_remove_env_spec_causes_problem():
def check(dirname):
def attempt():
project = Project(dirname)
assert project.lock_file.get_value(['env_specs', 'hello'], None) is not None
assert 'hello' in project.env_specs
env = project.env_specs['hello']
assert env.lock_set.enabled
assert env.lock_set.package_specs_for_current_platform == ('a=1.0=1', )
status = project_ops.remove_env_spec(project, name='hello')
assert [("anaconda-project.yml: env_spec 'hello' for command 'default'" +
" does not appear in the env_specs section")] == status.errors
assert status.status_description == "Unable to load the project."
assert not status
assert 'hello' in project.env_specs
_with_conda_test(attempt)
# we should not have made changes
project2 = Project(dirname)
assert project2.lock_file.get_value(['env_specs', 'hello'], None) is not None
assert project2.project_file.get_value(['env_specs', 'hello'], None) is not None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: foo
commands:
default:
unix: echo hi
env_spec: hello
env_specs:
hello:
packages:
- a
another:
packages:
- b
""",
DEFAULT_PROJECT_LOCK_FILENAME: """
locking_enabled: true
env_specs:
hello:
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
packages:
all:
- a=1.0=1
"""}, check)
def test_add_packages_to_all_environments():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_packages(project,
env_spec_name=None,
packages=['foo', 'bar'],
channels=['hello', 'world'])
assert status
assert [] == status.errors
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
assert [dict(pip=[]), 'foo', 'bar'] == list(project2.project_file.get_value('packages'))
assert ['hello', 'world'] == list(project2.project_file.get_value('channels'))
for env_spec in project2.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.equivalent_to(
CondaLockSet({'all': []},
platforms=['linux-64', 'osx-64', 'win-64']))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
packages:
- pip: [] # be sure we don't break with this in the list
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_packages_cannot_resolve_deps():
def check(dirname):
def attempt():
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.add_packages(project,
env_spec_name=None,
packages=['foo', 'bar'],
channels=['hello', 'world'])
assert status.status_description == "Error resolving dependencies for default: NOPE."
assert status.errors == []
assert project.frontend.logs == []
assert not status
_with_conda_test(attempt, resolve_dependencies_error="NOPE")
# be sure we didn't make the config changes
project2 = Project(dirname)
assert project2.project_file.get_value('packages', None) is None
assert project2.project_file.get_value('channels', None) is None
for env_spec in project2.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
with_directory_contents_completing_project_file({DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_packages_nonexistent_environment():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_packages(project,
env_spec_name="not_an_env",
packages=['foo', 'bar'],
channels=['hello', 'world'])
assert not status
assert [] == status.errors
_with_conda_test(attempt)
with_directory_contents_completing_project_file(dict(), check)
def test_add_packages_invalid_spec():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_packages(project, env_spec_name=None, packages=['='], channels=[])
assert not status
assert 'Could not add packages.' == status.status_description
assert ['Bad package specifications: =.'] == status.errors
_with_conda_test(attempt)
with_directory_contents_completing_project_file(dict(), check)
def test_remove_packages_from_all_environments():
def check(dirname):
def attempt():
os.makedirs(os.path.join(dirname, 'envs', 'hello')) # forces us to really run remove_packages
project = Project(dirname)
for env_spec in project.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
assert ['foo', 'bar', 'baz'] == list(project.project_file.get_value('packages'))
assert ['foo', 'woot'] == list(project.project_file.get_value(['env_specs', 'hello', 'packages'], []))
status = project_ops.remove_packages(project, env_spec_name=None, packages=['foo', 'bar'])
assert [] == status.errors
assert status
_with_conda_test(attempt, remove_error="Removal fail")
# be sure we really made the config changes
project2 = Project(dirname)
assert ['baz'] == list(project2.project_file.get_value('packages'))
assert ['woot'] == list(project2.project_file.get_value(['env_specs', 'hello', 'packages']))
for env_spec in project2.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.equivalent_to(
CondaLockSet({'all': []},
platforms=['linux-64', 'osx-64', 'win-64']))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
packages:
- foo
- bar
- baz
env_specs:
hello:
packages:
- foo
- woot
hello2:
packages:
- foo
- bar
- pip: [] # make sure we don't choke on non-string items in list
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_remove_packages_from_one_environment():
def check(dirname):
def attempt():
project = Project(dirname)
for env_spec in project.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
assert ['qbert', 'foo', 'bar'] == list(project.project_file.get_value('packages'))
assert ['foo'] == list(project.project_file.get_value(['env_specs', 'hello', 'packages'], []))
status = project_ops.remove_packages(project, env_spec_name='hello', packages=['foo', 'bar'])
assert status
assert [] == status.errors
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
# note that hello will still inherit the deps from the global packages,
# and that's fine
assert ['qbert'] == list(project2.project_file.get_value('packages'))
assert [] == list(project2.project_file.get_value(['env_specs', 'hello', 'packages'], []))
# be sure we didn't delete comments from global packages section
content = codecs.open(project2.project_file.filename, 'r', 'utf-8').read()
assert '# this is a pre comment' in content
assert '# this is a post comment' in content
for env_spec in project2.env_specs.values():
if env_spec.name == 'hello':
assert env_spec.lock_set.enabled
assert env_spec.lock_set.equivalent_to(
CondaLockSet({'all': []},
platforms=['linux-64', 'osx-64', 'win-64']))
else:
assert env_spec.lock_set.enabled
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
packages:
# this is a pre comment
- qbert # this is a post comment
- foo
- bar
env_specs:
hello:
packages:
- foo
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_remove_packages_from_one_environment_leaving_others_unaffected():
def check(dirname):
def attempt():
project = Project(dirname)
assert ['qbert', 'foo', 'bar'] == list(project.project_file.get_value('packages'))
assert ['foo'] == list(project.project_file.get_value(['env_specs', 'hello', 'packages'], []))
status = project_ops.remove_packages(project, env_spec_name='hello', packages=['foo', 'bar'])
assert status
assert [] == status.errors
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
assert ['qbert'] == list(project2.project_file.get_value('packages'))
assert [] == list(project2.project_file.get_value(['env_specs', 'hello', 'packages'], []))
assert set(['baz', 'foo', 'bar']) == set(project2.project_file.get_value(
['env_specs', 'another', 'packages'], []))
assert project2.env_specs['another'].conda_package_names_set == set(['qbert', 'foo', 'bar', 'baz'])
assert project2.env_specs['hello'].conda_package_names_set == set(['qbert'])
# be sure we didn't delete comments from the env
content = codecs.open(project2.project_file.filename, 'r', 'utf-8').read()
assert '# this is a pre comment' in content
assert '# this is a post comment' in content
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
packages:
- qbert
- foo
- bar
env_specs:
hello:
packages:
- foo
another:
packages:
# this is a pre comment
- baz # this is a post comment
"""}, check)
def test_remove_packages_cannot_resolve_deps():
def check(dirname):
def attempt():
os.makedirs(os.path.join(dirname, 'envs', 'hello')) # forces us to really run remove_packages
project = Project(dirname, frontend=FakeFrontend())
for env_spec in project.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
assert ['foo', 'bar', 'baz'] == list(project.project_file.get_value('packages'))
assert ['foo', 'woot'] == list(project.project_file.get_value(['env_specs', 'hello', 'packages'], []))
status = project_ops.remove_packages(project, env_spec_name=None, packages=['foo', 'bar'])
assert status.status_description == "Error resolving dependencies for hello: NOPE."
assert status.errors == []
assert project.frontend.logs == []
assert not status
_with_conda_test(attempt, resolve_dependencies_error="NOPE")
# be sure we didn't make the config changes
project2 = Project(dirname)
assert ['foo', 'bar', 'baz'] == list(project2.project_file.get_value('packages'))
assert ['foo', 'woot'] == list(project2.project_file.get_value(['env_specs', 'hello', 'packages']))
for env_spec in project2.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
packages:
- foo
- bar
- baz
env_specs:
hello:
packages:
- foo
- woot
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_remove_packages_from_nonexistent_environment():
def check(dirname):
def attempt():
project = Project(dirname)
assert ['foo', 'bar'] == list(project.project_file.get_value('packages'))
status = project_ops.remove_packages(project, env_spec_name='not_an_environment', packages=['foo', 'bar'])
assert not status
assert [] == status.errors
assert "Environment spec not_an_environment doesn't exist." == status.status_description
_with_conda_test(attempt)
# be sure we didn't make the config changes
project2 = Project(dirname)
assert ['foo', 'bar'] == list(project2.project_file.get_value('packages'))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
packages:
- foo
- bar
"""}, check)
def test_remove_packages_with_project_file_problems():
def check(dirname):
project = Project(dirname)
status = project_ops.remove_packages(project, env_spec_name=None, packages=['foo'])
assert not status
assert ["%s: variables section contains wrong value type 42, should be dict or list of requirements" %
project.project_file.basename] == status.errors
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: "variables:\n 42"}, check)
def test_add_platforms_to_all_environments():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_platforms(project, env_spec_name=None, platforms=['linux-64', 'win-64'])
assert status
assert [] == status.errors
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
assert ['osx-32', 'linux-64', 'win-64'] == list(project2.project_file.get_value('platforms'))
for env_spec in project2.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.equivalent_to(
CondaLockSet({'all': []},
platforms=['linux-64', 'osx-32', 'win-64']))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
platforms: [osx-32]
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_platforms_already_exists():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_platforms(project, env_spec_name=None, platforms=['osx-32'])
assert status
assert [] == status.errors
_with_conda_test(attempt)
project2 = Project(dirname)
assert ['osx-32', 'win-64'] == list(project2.project_file.get_value('platforms'))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
platforms: [osx-32, win-64]
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_platforms_cannot_resolve_deps():
def check(dirname):
def attempt():
project = Project(dirname, frontend=FakeFrontend())
assert project.project_file.get_value('platforms', None) == ['linux-64', 'osx-64', 'win-64']
status = project_ops.add_platforms(project, env_spec_name=None, platforms=['osx-32', 'win-32'])
assert status.status_description == "Error resolving dependencies for default: NOPE."
assert status.errors == []
assert project.frontend.logs == []
assert not status
_with_conda_test(attempt, resolve_dependencies_error="NOPE")
# be sure we didn't make the config changes
project2 = Project(dirname)
assert project2.project_file.get_value('platforms', None) == ['linux-64', 'osx-64', 'win-64']
for env_spec in project2.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
with_directory_contents_completing_project_file({DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_add_platforms_nonexistent_environment():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_platforms(project, env_spec_name="not_an_env", platforms=['foo', 'bar'])
assert not status
assert [] == status.errors
_with_conda_test(attempt)
with_directory_contents_completing_project_file(dict(), check)
def test_add_platforms_invalid_platform():
def check(dirname):
def attempt():
project = Project(dirname)
status = project_ops.add_platforms(project, env_spec_name=None, platforms=['invalid_platform'])
assert not status
assert 'Unable to load the project.' == status.status_description
assert ["anaconda-project.yml: Platform name 'invalid_platform' is invalid (valid "
"examples: linux-64, osx-64, win-64)"] == status.errors
_with_conda_test(attempt)
with_directory_contents_completing_project_file(dict(), check)
def test_remove_platforms_from_all_environments():
def check(dirname):
def attempt():
project = Project(dirname)
for env_spec in project.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
assert ['linux-64', 'osx-32'] == list(project.project_file.get_value('platforms'))
status = project_ops.remove_platforms(project, env_spec_name=None, platforms=['linux-64'])
assert [] == status.errors
assert status
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
assert ['osx-32'] == list(project2.project_file.get_value('platforms'))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
platforms:
- linux-64
- osx-32
env_specs:
hello: {}
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_remove_platforms_from_one_environment():
def check(dirname):
def attempt():
project = Project(dirname)
for env_spec in project.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
assert ['linux-64', 'osx-32'] == list(project.project_file.get_value('platforms'))
assert ['linux-32', 'osx-32'] == list(project.project_file.get_value(
['env_specs', 'hello', 'platforms'], []))
status = project_ops.remove_platforms(project, env_spec_name='hello', platforms=['osx-32'])
assert status
assert [] == status.errors
_with_conda_test(attempt)
# be sure we really made the config changes
project2 = Project(dirname)
# remove_platforms is too simple to take this osx-32 out, but really it should,
# similar to how remove_packages does it.
assert ['linux-64', 'osx-32'] == list(project2.project_file.get_value('platforms'))
# note that hello will still inherit the deps from the global platforms,
# and that's fine
assert ['linux-32'] == list(project2.project_file.get_value(['env_specs', 'hello', 'platforms'], []))
# be sure we didn't delete comments from global platforms section
content = codecs.open(project2.project_file.filename, 'r', 'utf-8').read()
assert '# this is a pre comment' in content
assert '# this is a post comment' in content
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
platforms:
# this is a pre comment
- linux-64 # this is a post comment
- osx-32
env_specs:
hello:
platforms:
- linux-32
- osx-32
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_remove_platforms_cannot_resolve_deps():
def check(dirname):
def attempt():
project = Project(dirname, frontend=FakeFrontend())
for env_spec in project.env_specs.values():
assert env_spec.lock_set.enabled
assert env_spec.lock_set.platforms == ()
assert ['linux-64', 'osx-32'] == list(project.project_file.get_value('platforms'))
assert ['linux-32', 'osx-32'] == list(project.project_file.get_value(
['env_specs', 'hello', 'platforms'], []))
status = project_ops.remove_platforms(project, env_spec_name='hello', platforms=['linux-32'])
assert status.errors == []
assert project.frontend.logs == []
assert status.status_description == "Error resolving dependencies for hello: NOPE."
assert not status
_with_conda_test(attempt, resolve_dependencies_error="NOPE")
# be sure we didn't make the config changes
project2 = Project(dirname)
assert ['linux-64', 'osx-32'] == list(project2.project_file.get_value('platforms'))
assert ['linux-32', 'osx-32'] == list(project2.project_file.get_value(['env_specs', 'hello', 'platforms'], []))
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
platforms:
- linux-64
- osx-32
env_specs:
hello:
platforms:
- linux-32
- osx-32
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_remove_platforms_from_nonexistent_environment():
def check(dirname):
def attempt():
project = Project(dirname)
assert ['linux-64'] == list(project.project_file.get_value('platforms'))
status = project_ops.remove_platforms(project, env_spec_name='not_an_environment', platforms=['linux-64'])
assert not status
assert [] == status.errors
assert "Environment spec not_an_environment doesn't exist." == status.status_description
_with_conda_test(attempt)
# be sure we didn't make the config changes
project2 = Project(dirname)
assert ['linux-64'] == list(project2.project_file.get_value('platforms'))
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: """
platforms:
- linux-64
"""}, check)
def test_remove_platforms_with_project_file_problems():
def check(dirname):
project = Project(dirname)
status = project_ops.remove_platforms(project, env_spec_name=None, platforms=['foo'])
assert not status
assert ["%s: variables section contains wrong value type 42, should be dict or list of requirements" %
project.project_file.basename] == status.errors
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: "variables:\n 42"}, check)
def test_lock_nonexistent_environment():
def check(dirname):
def attempt():
project = project_no_dedicated_env(dirname)
status = project_ops.lock(project, env_spec_name="not_an_env")
assert not status
assert [] == status.errors
assert "Environment spec not_an_env doesn't exist." == status.status_description
_with_conda_test(attempt)
with_directory_contents_completing_project_file(dict(), check)
def test_unlock_nonexistent_environment():
def check(dirname):
def attempt():
project = project_no_dedicated_env(dirname)
status = project_ops.unlock(project, env_spec_name="not_an_env")
assert not status
assert [] == status.errors
assert "Environment spec not_an_env doesn't exist." == status.status_description
_with_conda_test(attempt)
with_directory_contents_completing_project_file(dict(), check)
def test_lock_broken_project():
def check(dirname):
def attempt():
project = project_no_dedicated_env(dirname)
status = project_ops.lock(project, env_spec_name=None)
assert not status
assert len(status.errors) > 0
_with_conda_test(attempt)
with_directory_contents({DEFAULT_PROJECT_FILENAME: ""}, check)
def test_unlock_broken_project():
def check(dirname):
def attempt():
project = project_no_dedicated_env(dirname)
status = project_ops.unlock(project, env_spec_name=None)
assert not status
assert len(status.errors) > 0
_with_conda_test(attempt)
with_directory_contents({DEFAULT_PROJECT_FILENAME: ""}, check)
def test_lock_and_update_and_unlock_all_envs():
def check(dirname):
resolve_results = {'all': ['a=1.0=1']}
def attempt():
filename = os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME)
assert not os.path.isfile(filename)
project = Project(dirname, frontend=FakeFrontend())
assert project.env_specs['foo'].platforms == ()
assert project.env_specs['bar'].platforms == ()
# Lock
status = project_ops.lock(project, env_spec_name=None)
assert [] == status.errors
assert status
# yapf: disable
assert [
'Set project platforms list to linux-64, osx-64, win-64',
'Updating locked dependencies for env spec bar...',
'Changes to locked dependencies for bar:',
' platforms:',
'+ linux-64',
'+ osx-64',
'+ win-64',
' packages:',
'+ all:',
'+ a=1.0=1',
'Added locked dependencies for env spec bar to anaconda-project-lock.yml.',
'Updating locked dependencies for env spec foo...',
'Changes to locked dependencies for foo:',
' platforms:',
'+ linux-64',
'+ osx-64',
'+ win-64',
' packages:',
'+ all:',
'+ a=1.0=1',
'Added locked dependencies for env spec foo to anaconda-project-lock.yml.'
] == project.frontend.logs
# yapf: enable
assert os.path.isfile(filename)
assert ('a=1.0=1', ) == project.env_specs['foo'].lock_set.package_specs_for_current_platform
assert ('a=1.0=1', ) == project.env_specs['bar'].lock_set.package_specs_for_current_platform
assert ('a=1.0=1', ) == project.env_specs['foo'].conda_packages_for_create
# 'b' gets dropped here since it wasn't in the lock set
assert ('a=1.0=1', ) == project.env_specs['bar'].conda_packages_for_create
assert project.env_specs['foo'].platforms == conda_api.default_platforms
assert project.env_specs['bar'].platforms == conda_api.default_platforms
# we should have set the global platforms, not in each env spec
assert conda_api.default_platforms == project.project_file.get_value('platforms')
assert project.project_file.get_value(['env_specs', 'foo', 'platforms'], None) is None
assert project.project_file.get_value(['env_specs', 'bar', 'platforms'], None) is None
# Lock again (idempotent)
project.frontend.reset()
status = project_ops.lock(project, env_spec_name=None)
assert [] == status.errors
assert status
# Update (does nothing in this case)
project.frontend.reset()
status = project_ops.update(project, env_spec_name=None)
assert [] == status.errors
assert status
assert ["Updating locked dependencies for env spec bar...",
"Locked dependencies for env spec bar are already up to date.",
"Updating locked dependencies for env spec foo...",
"Locked dependencies for env spec foo are already up to date."] == project.frontend.logs
assert status.status_description == "Update complete."
# Update (does something after tweaking resolve results)
project.frontend.reset()
resolve_results['all'] = ['a=2.0=0']
status = project_ops.update(project, env_spec_name=None)
assert [] == status.errors
assert status
assert status.status_description == "Update complete."
assert ('a=2.0=0', ) == project.env_specs['foo'].conda_packages_for_create
assert '- a=1.0=1' in project.frontend.logs
assert '+ a=2.0=0' in project.frontend.logs
# Unlock
project.frontend.reset()
status = project_ops.unlock(project, env_spec_name=None)
assert [] == status.errors
assert status
assert 'Dependency locking is now disabled.' == status.status_description
assert project.env_specs['foo'].lock_set.disabled
assert project.env_specs['bar'].lock_set.disabled
assert ('a', ) == project.env_specs['foo'].conda_packages_for_create
assert ('b', ) == project.env_specs['bar'].conda_packages_for_create
_with_conda_test(attempt, resolve_dependencies=resolve_results)
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
env_specs:
foo:
packages:
- a
bar:
packages:
- b
"""}, check)
def test_lock_and_unlock_single_env():
def check(dirname):
def attempt():
filename = os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME)
assert not os.path.isfile(filename)
project = Project(dirname, frontend=FakeFrontend())
assert project.env_specs['foo'].platforms == ()
assert project.env_specs['bar'].platforms == ('osx-64', )
# Lock
status = project_ops.lock(project, env_spec_name='foo')
assert [] == status.errors
assert status
# yapf: disable
assert ['Set platforms for foo to linux-64, osx-64, win-64',
'Updating locked dependencies for env spec foo...',
'Changes to locked dependencies for foo:',
' platforms:',
'+ linux-64',
'+ osx-64',
'+ win-64',
' packages:',
'+ all:',
'+ a=1.0=1',
'Added locked dependencies for env spec foo to anaconda-project-lock.yml.'] == project.frontend.logs
# yapf: enable
assert 'Project dependencies are locked.' == status.status_description
assert os.path.isfile(filename)
foo_lock_set = project.env_specs['foo'].lock_set
assert ('a=1.0=1', ) == foo_lock_set.package_specs_for_current_platform
assert foo_lock_set.env_spec_hash == 'b7f3266407fe0056da25fc23764bb7643c3560be'
assert project.env_specs['bar'].lock_set.disabled
assert ('a=1.0=1', ) == project.env_specs['foo'].conda_packages_for_create
assert ('b', ) == project.env_specs['bar'].conda_packages_for_create
assert project.env_specs['foo'].platforms == conda_api.default_platforms
assert project.env_specs['bar'].platforms == ('osx-64', )
# we should NOT have set the global platforms
assert project.project_file.get_value('platforms', None) is None
assert conda_api.default_platforms == project.project_file.get_value(
['env_specs', 'foo', 'platforms'], None)
assert ['osx-64', ] == project.project_file.get_value(['env_specs', 'bar', 'platforms'], None)
# Locking a second time is a no-op
project.frontend.reset()
status = project_ops.lock(project, env_spec_name='foo')
assert [] == status.errors
assert status
assert ['Env spec foo is already locked.'] == project.frontend.logs
assert 'Project dependencies are locked.' == status.status_description
# Update (does nothing in this case)
project.frontend.reset()
status = project_ops.update(project, env_spec_name='foo')
assert [] == status.errors
assert status
assert ["Updating locked dependencies for env spec foo...",
"Locked dependencies for env spec foo are already up to date."] == project.frontend.logs
assert 'Update complete.' == status.status_description
# Now add a package (should change the hash)
project.frontend.reset()
status = project_ops.add_packages(project, 'foo', packages='q', channels=[])
assert [] == status.errors
assert status
assert [] == project.frontend.logs
assert status.status_description.startswith("Using Conda environment")
foo_lock_set = project.env_specs['foo'].lock_set
assert ('a=1.0=1', ) == foo_lock_set.package_specs_for_current_platform
assert foo_lock_set.env_spec_hash == 'fb71df6e984eb3330f442f1e9a7726aaa698ca59'
# Now unlock
project.frontend.reset()
status = project_ops.unlock(project, env_spec_name='foo')
assert [] == status.errors
assert status
assert [] == project.frontend.logs
assert 'Dependency locking is now disabled for env spec foo.' == status.status_description
assert project.env_specs['foo'].lock_set.disabled
assert project.env_specs['bar'].lock_set.disabled
assert ('a', 'q') == project.env_specs['foo'].conda_packages_for_create
assert ('b', ) == project.env_specs['bar'].conda_packages_for_create
_with_conda_test(attempt, resolve_dependencies={'all': ['a=1.0=1']})
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
env_specs:
foo:
packages:
- a
bar:
platforms: [osx-64]
packages:
- b
"""}, check)
def test_locking_with_missing_lock_set_does_an_update():
def check(dirname):
def attempt():
filename = os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME)
assert os.path.isfile(filename)
project = Project(dirname, frontend=FakeFrontend())
assert project.env_specs['foo'].platforms == ('linux-64', 'osx-64', 'win-64')
# lock set should be enabled yet missing and empty
assert project.env_specs['foo'].lock_set.enabled
assert project.env_specs['foo'].lock_set.missing
# Lock
status = project_ops.lock(project, env_spec_name='foo')
assert [] == status.errors
assert status
# yapf: disable
assert ['Updating locked dependencies for env spec foo...',
'Changes to locked dependencies for foo:',
' platforms:',
'+ linux-64',
'+ osx-64',
'+ win-64',
' packages:',
'+ all:',
'+ a=1.0=1',
'Added locked dependencies for env spec foo to anaconda-project-lock.yml.'] == project.frontend.logs
# yapf: enable
assert 'Project dependencies are locked.' == status.status_description
assert os.path.isfile(filename)
assert project.lock_file.get_value(['env_specs', 'foo']) is not None
foo_lock_set = project.env_specs['foo'].lock_set
assert ('a=1.0=1', ) == foo_lock_set.package_specs_for_current_platform
assert foo_lock_set.env_spec_hash == 'b7f3266407fe0056da25fc23764bb7643c3560be'
assert project.env_specs['foo'].lock_set.enabled
assert not project.env_specs['foo'].lock_set.missing
_with_conda_test(attempt, resolve_dependencies={'all': ['a=1.0=1']})
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
platforms: [linux-64,osx-64,win-64]
env_specs:
foo:
packages:
- a
""",
DEFAULT_PROJECT_LOCK_FILENAME: """
locking_enabled: true
# No lock set in here!
"""}, check)
def test_update_changes_only_the_hash():
def check(dirname):
def attempt():
project = Project(dirname, frontend=FakeFrontend())
foo_lock_set = project.env_specs['foo'].lock_set
assert ('a=1.0=1', ) == foo_lock_set.package_specs_for_current_platform
assert foo_lock_set.env_spec_hash == 'old'
assert ('a=1.0=1', ) == project.env_specs['foo'].conda_packages_for_create
# Update
status = project_ops.update(project, env_spec_name='foo')
assert [] == status.errors
assert status
assert ['Updating locked dependencies for env spec foo...',
'Updated hash for env spec foo to 9990ec43408f9593030a3a136c916022189f04b3 in '
'anaconda-project-lock.yml.'] == project.frontend.logs
assert 'Update complete.' == status.status_description
foo_lock_set = project.env_specs['foo'].lock_set
assert ('a=1.0=1', ) == foo_lock_set.package_specs_for_current_platform
assert foo_lock_set.env_spec_hash == '9990ec43408f9593030a3a136c916022189f04b3'
_with_conda_test(attempt, resolve_dependencies={'all': ['a=1.0=1']})
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
env_specs:
foo:
packages:
- a
""",
DEFAULT_PROJECT_LOCK_FILENAME: """
locking_enabled: true
env_specs:
foo:
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
env_spec_hash: old
packages:
all: ['a=1.0=1']
"""}, check)
def test_lock_conda_error():
def check(dirname):
def attempt():
filename = os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME)
assert not os.path.isfile(filename)
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.lock(project, env_spec_name=None)
assert [] == status.errors
assert not status
assert "test deviation" == status.status_description
assert not os.path.isfile(filename)
_with_conda_test(attempt,
missing_packages=('a', 'b'),
resolve_dependencies={'all': ['a=1.0=1']},
fix_works=False)
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
env_specs:
foo:
packages:
- a
bar:
packages:
- b
"""}, check)
def test_lock_resolve_dependencies_error(monkeypatch):
def check(dirname):
def attempt():
filename = os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME)
assert not os.path.isfile(filename)
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.lock(project, env_spec_name=None)
assert [] == status.errors
assert not status
assert 'Nope on resolve' in status.status_description
assert not os.path.isfile(filename)
_with_conda_test(attempt, missing_packages=('a', 'b'), resolve_dependencies_error="Nope on resolve")
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
env_specs:
foo:
packages:
- a
bar:
packages:
- b
"""}, check)
def test_unlock_conda_error():
def check(dirname):
def attempt():
filename = os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME)
assert os.path.isfile(filename)
project = Project(dirname, frontend=FakeFrontend())
assert project.env_specs['foo'].lock_set.enabled
assert project.env_specs['bar'].lock_set.enabled
status = project_ops.unlock(project, env_spec_name=None)
assert [] == status.errors
assert not status
assert "test deviation" == status.status_description
assert os.path.isfile(filename)
assert project.env_specs['foo'].lock_set.enabled
assert project.env_specs['bar'].lock_set.enabled
_with_conda_test(attempt,
missing_packages=('a', 'b'),
resolve_dependencies={'all': ['a=1.0=1']},
fix_works=False)
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
env_specs:
foo:
packages:
- a
bar:
packages:
- b
""",
DEFAULT_PROJECT_LOCK_FILENAME: """
locking_enabled: true
env_specs:
foo:
locked: true
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
packages:
all:
- c
bar:
locked: true
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
packages:
all:
- d
"""}, check)
def test_update_unlocked_envs():
def check(dirname):
resolve_results = {'all': ['a=1.0=1']}
def attempt():
filename = os.path.join(dirname, DEFAULT_PROJECT_LOCK_FILENAME)
assert not os.path.isfile(filename)
project = Project(dirname, frontend=FakeFrontend())
# all lock sets disabled
for env in project.env_specs.values():
assert env.lock_set.disabled
# Update (should install packages but not make a lock file)
status = project_ops.update(project, env_spec_name=None)
assert [] == status.errors
assert status
assert status.status_description == "Update complete."
assert project.frontend.logs == [
'Updating locked dependencies for env spec bar...', 'Updated installed dependencies for bar.',
'Updating locked dependencies for env spec foo...', 'Updated installed dependencies for foo.'
]
# no project lock file created
assert not os.path.isfile(filename)
# all lock sets still disabled
for env in project.env_specs.values():
assert env.lock_set.disabled
_with_conda_test(attempt, resolve_dependencies=resolve_results)
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
env_specs:
foo:
packages:
- a
bar:
packages:
- b
"""}, check)
def test_update_empty_lock_sets():
def check(dirname):
resolve_results = {'all': ['a=1.0=1']}
def attempt():
project = Project(dirname, frontend=FakeFrontend())
# all lock sets enabled but empty
for env in project.env_specs.values():
assert env.lock_set.enabled
assert env.lock_set.platforms == ()
assert not env.lock_set.supports_current_platform
# Update
status = project_ops.update(project, env_spec_name=None)
assert [] == status.errors
assert status
assert status.status_description == "Update complete."
# yapf: disable
assert project.frontend.logs == [
'Updating locked dependencies for env spec bar...',
'Changes to locked dependencies for bar:',
' platforms:',
'+ linux-64',
'+ osx-64',
'+ win-64',
' packages:',
'+ all:',
'+ a=1.0=1',
'Updated locked dependencies for env spec bar in anaconda-project-lock.yml.',
'Updating locked dependencies for env spec foo...',
'Changes to locked dependencies for foo:',
' platforms:',
'+ linux-64',
'+ osx-64',
'+ win-64',
' packages:',
'+ all:',
'+ a=1.0=1',
'Updated locked dependencies for env spec foo in anaconda-project-lock.yml.'
]
# yapf: enable
for env in project.env_specs.values():
assert env.lock_set.enabled
assert env.lock_set.supports_current_platform
assert env.lock_set.platforms == conda_api.default_platforms
assert env.lock_set.package_specs_for_current_platform == ('a=1.0=1', )
_with_conda_test(attempt, resolve_dependencies=resolve_results)
with_directory_contents(
{DEFAULT_PROJECT_FILENAME: """
name: locktest
platforms: [linux-64,osx-64,win-64]
env_specs:
foo:
packages:
- a
bar:
packages:
- b
""",
DEFAULT_PROJECT_LOCK_FILENAME: "locking_enabled: true\n"}, check)
def test_export_env_spec():
def check(dirname):
project = project_no_dedicated_env(dirname)
exported = os.path.join(dirname, "exported.yml")
status = project_ops.export_env_spec(project, name='default', filename=exported)
assert status
assert status.status_description == ('Exported environment spec default to %s.' % exported)
with_directory_contents_completing_project_file(
{
"anaconda-project.yml": """
env_specs:
default:
packages:
- blah
channels:
- boo
"""
}, check)
def test_export_nonexistent_env_spec():
def check(dirname):
project = project_no_dedicated_env(dirname)
exported = os.path.join(dirname, "exported.yml")
status = project_ops.export_env_spec(project, name='bar', filename=exported)
assert not status
assert not os.path.exists(exported)
assert status.status_description == "Environment spec bar doesn't exist."
with_directory_contents_completing_project_file(
{
"anaconda-project.yml": """
env_specs:
default:
packages:
- blah
channels:
- boo
"""
}, check)
def test_export_env_spec_io_error(monkeypatch):
def check(dirname):
project = project_no_dedicated_env(dirname)
exported = os.path.join(dirname, "exported.yml")
def mock_atomic_replace(*args, **kwargs):
raise IOError("NOOO")
monkeypatch.setattr('anaconda_project.yaml_file._atomic_replace', mock_atomic_replace)
status = project_ops.export_env_spec(project, name='default', filename=exported)
assert not status
assert not os.path.exists(exported)
assert status.status_description == ("Failed to save %s: NOOO." % exported)
with_directory_contents_completing_project_file(
{
"anaconda-project.yml": """
env_specs:
default:
packages:
- blah
channels:
- boo
"""
}, check)
def test_export_env_spec_broken_project(monkeypatch):
def check(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.export_env_spec(project, name='default', filename='foo')
assert not status
assert status.status_description == 'Unable to load the project.'
with_directory_contents({DEFAULT_PROJECT_FILENAME: """
name: broken
"""}, check)
def _monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch):
from anaconda_project.requirements_registry.network_util import can_connect_to_socket as real_can_connect_to_socket
can_connect_args_list = []
def mock_can_connect_to_socket(host, port, timeout_seconds=0.5):
can_connect_args = dict()
can_connect_args['host'] = host
can_connect_args['port'] = port
can_connect_args['timeout_seconds'] = timeout_seconds
can_connect_args_list.append(can_connect_args)
if port == 6379:
return True
else:
return real_can_connect_to_socket(host, port, timeout_seconds)
monkeypatch.setattr("anaconda_project.requirements_registry.network_util.can_connect_to_socket",
mock_can_connect_to_socket)
return can_connect_args_list
def test_add_service(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = project_no_dedicated_env(dirname)
status = project_ops.add_service(project, None, service_type='redis')
assert status
assert isinstance(project.frontend.logs, list)
assert [] == status.errors
# be sure service was added to the file and saved
project2 = project_no_dedicated_env(dirname)
assert 'redis' == project2.project_file.get_value(['services', 'REDIS_URL'])
with_directory_contents_completing_project_file(dict(), check)
def test_add_service_with_env_spec(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = project_no_dedicated_env(dirname)
status = project_ops.add_service(project, 'myspec', service_type='redis')
assert status
assert isinstance(project.frontend.logs, list)
assert [] == status.errors
# be sure service was added to the file and saved
project2 = project_no_dedicated_env(dirname)
assert 'redis' == project2.project_file.get_value(['env_specs', 'myspec', 'services', 'REDIS_URL'])
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
default:
packages: [python]
channels: []
myspec:
packages: [python]
channels: []
"""}, check)
def test_add_service_nondefault_variable_name(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = project_no_dedicated_env(dirname)
status = project_ops.add_service(project, None, service_type='redis', variable_name='MY_SPECIAL_REDIS')
assert status
assert isinstance(project.frontend.logs, list)
assert [] == status.errors
# be sure service was added to the file and saved
project2 = project_no_dedicated_env(dirname)
assert 'redis' == project2.project_file.get_value(['services', 'MY_SPECIAL_REDIS'])
with_directory_contents_completing_project_file(dict(), check)
def test_add_service_with_project_file_problems():
def check(dirname):
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.add_service(project, None, service_type='redis')
assert not status
assert ["%s: variables section contains wrong value type 42, should be dict or list of requirements" %
project.project_file.basename] == status.errors
# be sure service was NOT added to the file
project2 = Project(dirname, frontend=FakeFrontend())
assert project2.project_file.get_value(['services', 'REDIS_URL']) is None
# should have been dropped from the original project object also
assert project.project_file.get_value(['services', 'REDIS_URL']) is None
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: "variables:\n 42"}, check)
def test_add_service_already_exists(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = project_no_dedicated_env(dirname)
status = project_ops.add_service(project, None, service_type='redis')
assert status
assert isinstance(project.frontend.logs, list)
assert [] == status.errors
# be sure service was added to the file and saved
project2 = Project(dirname, frontend=FakeFrontend())
assert 'redis' == project2.project_file.get_value(['services', 'REDIS_URL'])
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
services:
REDIS_URL: redis
"""}, check)
def test_add_service_already_exists_with_different_type(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.add_service(project, None, service_type='redis')
assert not status
# Once we have >1 known service types, we should change this test
# to use the one other than redis and then this error will change.
assert ["Service REDIS_URL has an unknown type 'foo'."] == status.errors
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
services:
REDIS_URL: foo
"""}, check)
def test_add_service_already_exists_as_non_service(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.add_service(project, None, service_type='redis')
assert not status
assert ['Variable REDIS_URL is already in use.'] == status.errors
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
variables:
REDIS_URL: something
"""}, check)
def test_add_service_bad_service_type(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.add_service(project, None, service_type='not_a_service')
assert not status
assert ["Unknown service type 'not_a_service', we know about: redis"] == status.errors
with_directory_contents_completing_project_file(dict(), check)
def test_remove_service(monkeypatch):
def check(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.remove_service(project, None, variable_name='redis')
assert status
assert [] == status.errors
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(['services', 'REDIS_URL']) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
services:
REDIS_URL: redis
"""}, check)
def test_remove_service_with_prepare(monkeypatch):
def check(dirname):
_monkeypatch_can_connect_to_socket_on_standard_redis_port(monkeypatch)
project = project_no_dedicated_env(dirname)
result = prepare.prepare_without_interaction(project)
assert result
status = project_ops.remove_service(project, None, variable_name='redis', prepare_result=result)
assert status
assert [] == status.errors
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(['services', 'REDIS_URL']) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
services:
REDIS_URL: redis
"""}, check)
def test_remove_service_with_env_spec(monkeypatch):
def check(dirname):
config_path = ['env_specs', 'myspec', 'services', 'REDIS_URL']
project = project_no_dedicated_env(dirname)
assert project.project_file.get_value(config_path) == 'redis'
status = project_ops.remove_service(project, 'myspec', variable_name='redis')
assert status
assert [] == status.errors
project2 = project_no_dedicated_env(dirname)
assert project2.project_file.get_value(config_path) is None
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
default:
packages: [python]
channels: []
myspec:
packages: [python]
channels: []
services:
REDIS_URL: redis
"""}, check)
def check_cleaned(dirname, envs_dirname="envs"):
project = Project(dirname, frontend=FakeFrontend())
result = prepare.prepare_without_interaction(project, env_spec_name='foo')
assert result
envs_dir = os.path.join(dirname, envs_dirname)
assert os.path.isdir(os.path.join(envs_dir, "foo"))
# prepare again with 'bar' this time
result = prepare.prepare_without_interaction(project, env_spec_name='bar')
assert result
bar_dir = os.path.join(dirname, envs_dirname, "bar")
assert os.path.isdir(bar_dir)
# we don't really have a service in the test project file because
# redis-server doesn't work on Windows and it's good to run this
# test on Windows. So create some fake junk in services dir.
services_dir = os.path.join(dirname, "services")
os.makedirs(os.path.join(services_dir, "leftover-debris"))
status = project_ops.clean(project, result)
assert status
assert status.status_description == "Cleaned."
assert project.frontend.logs == [("Deleted environment files in %s." % bar_dir), ("Removing %s." % services_dir),
("Removing %s." % envs_dir)]
assert status.errors == []
assert not os.path.isdir(os.path.join(dirname, envs_dirname))
assert not os.path.isdir(os.path.join(dirname, "services"))
def test_clean(monkeypatch):
def mock_create(prefix, pkgs, channels, stdout_callback, stderr_callback):
os.makedirs(os.path.join(prefix, "conda-meta"))
monkeypatch.setattr('anaconda_project.internal.conda_api.create', mock_create)
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
foo: {}
bar: {}
"""}, check_cleaned)
def test_clean_from_environ(monkeypatch):
def mock_create(prefix, pkgs, channels, stdout_callback, stderr_callback):
os.makedirs(os.path.join(prefix, "conda-meta"))
monkeypatch.setattr('anaconda_project.internal.conda_api.create', mock_create)
def check(dirname):
os.environ['ANACONDA_PROJECT_ENVS_PATH'] = os.path.join(dirname, "some_random_path")
res = check_cleaned(dirname, "some_random_path")
os.environ.pop('ANACONDA_PROJECT_ENVS_PATH')
return res
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
foo: {}
bar: {}
"""}, check)
def test_clean_failed_delete(monkeypatch):
def mock_create(prefix, pkgs, channels, stdout_callback, stderr_callback):
os.makedirs(os.path.join(prefix, "conda-meta"))
monkeypatch.setattr('anaconda_project.internal.conda_api.create', mock_create)
def check(dirname):
project = Project(dirname, frontend=FakeFrontend())
result = prepare.prepare_without_interaction(project, env_spec_name='foo')
assert result
envs_dir = os.path.join(dirname, "envs")
assert os.path.isdir(os.path.join(envs_dir, "foo"))
# prepare again with 'bar' this time
project.frontend.reset()
result = prepare.prepare_without_interaction(project, env_spec_name='bar')
assert result
bar_dir = os.path.join(dirname, "envs", "bar")
assert os.path.isdir(bar_dir)
# we don't really have a service in the test project file because
# redis-server doesn't work on Windows and it's good to run this
# test on Windows. So create some fake junk in services dir.
services_dir = os.path.join(dirname, "services")
os.makedirs(os.path.join(services_dir, "leftover-debris"))
def mock_rmtree(path, onerror=None):
raise IOError("No rmtree here")
monkeypatch.setattr('shutil.rmtree', mock_rmtree)
project.frontend.reset()
status = project_ops.clean(project, result)
assert not status
assert status.status_description == "Failed to clean everything up."
assert project.frontend.logs == [("Removing %s." % services_dir), ("Removing %s." % envs_dir)]
assert status.errors == [("Failed to remove environment files in %s: No rmtree here." % bar_dir),
("Error removing %s: No rmtree here." % services_dir),
("Error removing %s: No rmtree here." % envs_dir)]
assert os.path.isdir(os.path.join(dirname, "envs"))
assert os.path.isdir(os.path.join(dirname, "services"))
# so with_directory_contents_completing_project_file can remove our tmp dir
monkeypatch.undo()
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
foo: {}
bar: {}
"""}, check)
def test_clean_environ_failed_delete(monkeypatch):
def mock_create(prefix, pkgs, channels, stdout_callback, stderr_callback):
os.makedirs(os.path.join(prefix, "conda-meta"))
monkeypatch.setattr('anaconda_project.internal.conda_api.create', mock_create)
def check(dirname):
envs_dir = os.environ['ANACONDA_PROJECT_ENVS_PATH'] = os.path.join(dirname, "some_random_failed_path")
project = Project(dirname, frontend=FakeFrontend())
result = prepare.prepare_without_interaction(project, env_spec_name='foo')
assert result
assert os.path.isdir(os.path.join(envs_dir, "foo"))
# prepare again with 'bar' this time
project.frontend.reset()
result = prepare.prepare_without_interaction(project, env_spec_name='bar')
assert result
bar_dir = os.path.join(envs_dir, "bar")
assert os.path.isdir(bar_dir)
# we don't really have a service in the test project file because
# redis-server doesn't work on Windows and it's good to run this
# test on Windows. So create some fake junk in services dir.
services_dir = os.path.join(dirname, "services")
os.makedirs(os.path.join(services_dir, "leftover-debris"))
def mock_rmtree(path, onerror=None):
raise IOError("No rmtree here")
monkeypatch.setattr('shutil.rmtree', mock_rmtree)
project.frontend.reset()
status = project_ops.clean(project, result)
assert not status
assert status.status_description == "Failed to clean everything up."
assert project.frontend.logs == [("Removing %s." % services_dir), ("Removing %s." % envs_dir)]
assert status.errors == [("Failed to remove environment files in %s: No rmtree here." % bar_dir),
("Error removing %s: No rmtree here." % services_dir),
("Error removing %s: No rmtree here." % envs_dir)]
assert os.path.isdir(os.path.join(envs_dir))
assert os.path.isdir(os.path.join(dirname, "services"))
# so with_directory_contents_completing_project_file can remove our tmp dir
monkeypatch.undo()
# clean environ
os.environ.pop('ANACONDA_PROJECT_ENVS_PATH')
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
foo: {}
bar: {}
"""}, check)
def _strip_prefixes(names):
return list([name[len("archivedproj/"):] for name in names])
def _assert_zip_contains(zip_path, filenames):
with zipfile.ZipFile(zip_path, mode='r') as zf:
assert sorted(_strip_prefixes(zf.namelist())) == sorted(filenames)
def _assert_tar_contains(tar_path, filenames):
with tarfile.open(tar_path, mode='r') as tf:
assert sorted(_strip_prefixes(tf.getnames())) == sorted(filenames)
def _relative_to(root, path):
prefix = root + os.sep
assert path.startswith(prefix)
return path[len(prefix):]
def _recursive_list(dir_path):
for root, directories, filenames in os.walk(dir_path):
for dir in directories:
if not os.listdir(os.path.join(root, dir)):
yield _relative_to(dir_path, os.path.join(root, dir))
for filename in filenames:
yield _relative_to(dir_path, os.path.join(root, filename))
def _assert_dir_contains(dir_path, filenames):
assert sorted([filename.replace("\\", "/") for filename in _recursive_list(dir_path)]) == sorted(filenames)
def test_archive_zip():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
# be sure we ignore these
os.makedirs(os.path.join(dirname, "services"))
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_zip_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir/', 'foo.py',
'anaconda-project.yml', 'anaconda-project-local.yml'])
# overwriting should work
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_zip_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir/', 'foo.py',
'anaconda-project.yml', 'anaconda-project-local.yml'])
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: archivedproj
services:
REDIS_URL: redis
""",
"foo.py": "print('hello')\n",
"emptydir": None,
"a/b/c/d.py": "",
"a/b/c/e.py": ""}, check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_unlocked_warning():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
assert project.env_specs['foo'].lock_set.enabled
assert project.env_specs['bar'].lock_set.disabled
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
# yapf: disable
assert [
' added ' + os.path.join("archivedproj", "anaconda-project-local.yml"),
' added ' + os.path.join("archivedproj", "anaconda-project-lock.yml"),
' added ' + os.path.join("archivedproj", "anaconda-project.yml"),
' added ' + os.path.join("archivedproj", "foo.py"),
'Warning: env specs are not locked, which means they may not work '
'consistently for others or when deployed.',
" Consider using the 'anaconda-project lock' command to lock the project.",
' Unlocked env specs are: bar'
] == project.frontend.logs
# yapf: enable
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: archivedproj
env_specs:
foo:
packages: []
bar:
packages: []
""",
DEFAULT_PROJECT_LOCK_FILENAME: """
locking_enabled: false
env_specs:
foo:
locked: true
platforms: [linux-32,linux-64,osx-64,win-32,win-64]
packages:
all: []
""",
"foo.py": "print('hello')\n"}, check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_tar():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.tar")
def check(dirname):
# be sure we ignore these
os.makedirs(os.path.join(dirname, "services"))
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_tar_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir', 'foo.py', 'anaconda-project.yml',
'anaconda-project-local.yml'])
# overwriting should work
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_tar_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir', 'foo.py', 'anaconda-project.yml',
'anaconda-project-local.yml'])
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: archivedproj
services:
REDIS_URL: redis
""",
"foo.py": "print('hello')\n",
"emptydir": None,
"a/b/c/d.py": "",
"a/b/c/e.py": ""}, check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_tar_gz():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.tar.gz")
def check(dirname):
# be sure we ignore these
os.makedirs(os.path.join(dirname, "services"))
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_tar_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir', 'foo.py', 'anaconda-project.yml',
'anaconda-project-local.yml'])
# overwriting should work
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_tar_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir', 'foo.py', 'anaconda-project.yml',
'anaconda-project-local.yml'])
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: archivedproj
services:
REDIS_URL: redis
""",
"foo.py": "print('hello')\n",
"emptydir": None,
"a/b/c/d.py": "",
"a/b/c/e.py": ""}, check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_tar_bz2():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.tar.bz2")
def check(dirname):
# be sure we ignore these
os.makedirs(os.path.join(dirname, "services"))
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_tar_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir', 'foo.py', 'anaconda-project.yml',
'anaconda-project-local.yml'])
# overwriting should work
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_tar_contains(archivefile, ['a/b/c/d.py', 'a/b/c/e.py', 'emptydir', 'foo.py', 'anaconda-project.yml',
'anaconda-project-local.yml'])
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: archivedproj
services:
REDIS_URL: redis
""",
"foo.py": "print('hello')\n",
"emptydir": None,
"a/b/c/d.py": "",
"a/b/c/e.py": ""}, check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_cannot_write_destination_path(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def mock_ZipFile(*args, **kwargs):
raise IOError("NOPE")
monkeypatch.setattr('zipfile.ZipFile', mock_ZipFile)
# need to mock plugins since entry_points uses zipfile.ZipFile that
# we are mocking for this test
monkeypatch.setattr(plugins_api, 'get_plugins', lambda x='fake': {})
def check(dirname):
# be sure we ignore this
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert not status
assert status.status_description == ('Failed to write project archive %s.' % archivefile)
assert ['NOPE'] == status.errors
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: archivedproj
""",
"foo.py": "print('hello')\n"}, check)
with_directory_contents_completing_project_file(dict(), archivetest)
def _add_empty_git(contents):
contents.update({
# I'm not sure these are all really needed for git to
# recognize the directory as a git repo, but this is what
# "git init" creates.
'.git/branches': None,
'.git/hooks': None,
'.git/info': None,
'.git/objects/info': None,
'.git/objects/pack': None,
'.git/refs/heads': None,
'.git/refs/tags': None,
'.git/config': """
[core]
repositoryformatversion = 0
filemode = true
bare = false
logallrefupdates = true
""",
'.git/description': "TestingGitRepository\n",
'.git/HEAD': 'ref: refs/heads/master\n'
})
return contents
def test_archive_zip_with_gitignore():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
# be sure we ignore this
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_zip_contains(archivefile, ['foo.py', '.gitignore', 'anaconda-project.yml',
'anaconda-project-local.yml'])
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
name: archivedproj
""",
"foo.py": "print('hello')\n",
'.gitignore': "/ignored.py\n/subdir\n/subwithslash/\n",
'ignored.py': 'print("ignore me!")',
'subdir/foo.py': 'foo',
'subdir/subsub/bar.py': 'bar',
'subwithslash/something.py': 'something'}), check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_zip_with_failing_git_command(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
# be sure we ignore this
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
from subprocess import check_output as real_check_output
def mock_check_output(args, cwd):
def run(commandline):
return real_check_output(commandline)
return with_temporary_script_commandline("import sys\nsys.exit(1)\n", run)
monkeypatch.setattr('subprocess.check_output', mock_check_output)
status = project_ops.archive(project, archivefile)
assert not status
assert not os.path.exists(archivefile)
# before the "." is the command output, but "false" has no output.
assert status.errors == ["'git ls-files' failed to list ignored files: ."]
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
""",
"foo.py": "print('hello')\n"}), check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_zip_with_exception_executing_git_command(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
# be sure we ignore these
os.makedirs(os.path.join(dirname, "services"))
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
from subprocess import check_output as real_check_output
def mock_check_output(args, cwd):
return real_check_output(args=['this-is-not-a-real-command'], cwd=cwd)
monkeypatch.setattr('subprocess.check_output', mock_check_output)
status = project_ops.archive(project, archivefile)
assert not status
assert not os.path.exists(archivefile)
assert len(status.errors) == 1
# full error message is platform-dependent
assert status.errors[0].startswith("Failed to run 'git ls-files'")
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
""",
"foo.py": "print('hello')\n"}), check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_zip_with_inability_to_walk_directory(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
# be sure we ignore these
os.makedirs(os.path.join(dirname, "services"))
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
assert project.problems == []
def mock_os_walk(dirname):
raise OSError("NOPE")
monkeypatch.setattr('os.walk', mock_os_walk)
status = project_ops.archive(project, archivefile)
assert not status
assert not os.path.exists(archivefile)
assert status.status_description == "Failed to list files in the project."
assert len(status.errors) > 0
assert status.errors[0].startswith("Could not list files in")
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
name: archivedproj
""",
"foo.py": "print('hello')\n"}), check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_zip_with_unreadable_projectignore(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
# be sure we ignore these
os.makedirs(os.path.join(dirname, "services"))
os.makedirs(os.path.join(dirname, "envs"))
project = project_no_dedicated_env(dirname)
ignorefile = os.path.join(dirname, ".projectignore")
with codecs.open(ignorefile, 'w', 'utf-8') as f:
f.write("\n")
from codecs import open as real_open
def mock_codecs_open(*args, **kwargs):
if args[0].endswith(".projectignore"):
raise IOError("NOPE")
else:
return real_open(*args, **kwargs)
monkeypatch.setattr('codecs.open', mock_codecs_open)
status = project_ops.archive(project, archivefile)
assert not status
assert not os.path.exists(archivefile)
assert ["Failed to read %s: NOPE" % ignorefile] == status.errors
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
name: archivedproj
""",
"foo.py": "print('hello')\n"}), check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_with_bogus_filename(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.bar")
def check(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert not status
assert not os.path.exists(archivefile)
assert status.status_description == "Project archive filename must be a .zip, .tar.gz, or .tar.bz2."
assert status.errors == ["Unsupported archive filename %s." % archivefile]
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
name: archivedproj
""",
"foo.py": "print('hello')\n"}), check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_with_no_project_file(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
project = project_no_dedicated_env(dirname)
assert not os.path.exists(project.project_file.filename)
status = project_ops.archive(project, archivefile)
assert not status
assert not os.path.exists(archivefile)
assert status.status_description == "Can't create an archive."
assert status.errors == ["%s does not exist." % DEFAULT_PROJECT_FILENAME]
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_archive_with_unsaved_project(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
project = project_no_dedicated_env(dirname)
assert os.path.exists(project.project_file.filename)
project.project_file.set_value(['name'], "hello")
status = project_ops.archive(project, archivefile)
assert not status
assert not os.path.exists(archivefile)
assert status.status_description == "Can't create an archive."
assert status.errors == ["%s has been modified but not saved." % DEFAULT_PROJECT_FILENAME]
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
env_specs:
default:
packages: []
"""}, check)
with_directory_contents(dict(), archivetest)
def test_archive_zip_with_downloaded_file():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
project = project_no_dedicated_env(dirname)
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_zip_contains(archivefile, ['foo.py', 'anaconda-project.yml', 'anaconda-project-local.yml'])
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
name: archivedproj
downloads:
MYDOWNLOAD: "http://example.com/downloaded.py"
""",
"foo.py": "print('hello')\n",
'downloaded.py': 'print("ignore me!")',
'downloaded.py.part': ''}), check)
with_directory_contents_completing_project_file(dict(), archivetest)
def test_archive_zip_overwrites_but_does_not_include_the_dest_zip():
def check(dirname):
project = project_no_dedicated_env(dirname)
archivefile = os.path.join(dirname, "foo.zip")
assert os.path.isfile(archivefile)
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_zip_contains(archivefile, ['foo.py', 'anaconda-project.yml', 'anaconda-project-local.yml'])
# re-archive to the same file
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_zip_contains(archivefile, ['foo.py', 'anaconda-project.yml', 'anaconda-project-local.yml'])
with_directory_contents_completing_project_file(
_add_empty_git({DEFAULT_PROJECT_FILENAME: """
name: archivedproj
""",
"foo.py": "print('hello')\n",
'foo.zip': ""}), check)
def test_archive_zip_with_projectignore():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
# be sure we ignore this
os.makedirs(os.path.join(dirname, "envs"))
project = project_ops.create(dirname)
assert [] == project.problems
status = project_ops.archive(project, archivefile)
assert status
assert os.path.exists(archivefile)
_assert_zip_contains(archivefile, ['foo.py', 'anaconda-project.yml', '.projectignore', 'bar/'])
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: """
name: archivedproj
""",
"foo.py": "print('hello')\n",
"foo.pyc": "",
".ipynb_checkpoints": "",
"bar/blah.pyc": ""}, check)
with_directory_contents_completing_project_file(dict(), archivetest)
_CONTENTS_DIR = 1
_CONTENTS_FILE = 2
_CONTENTS_SYMLINK = 3
def _make_zip(archive_dest_dir, contents):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
with zipfile.ZipFile(archivefile, 'w') as zf:
for (key, what) in contents.items():
if what is _CONTENTS_DIR:
# create a directory
if not key.endswith(os.sep):
key = key + os.sep
zf.writestr(key, "")
elif what is _CONTENTS_FILE:
zf.writestr(key, "hello")
else:
raise AssertionError("can't put this in a zip")
return archivefile
def _make_tar(archive_dest_dir, contents, compression=None):
mode = 'w'
extension = '.tar'
if compression == 'gz':
mode = mode + ':gz'
extension = extension + '.gz'
elif compression == 'bz2':
mode = mode + ':bz2'
extension = extension + '.bz2'
# the tarfile API only lets us put in files, so we need
# files to put in
a_directory = os.path.join(archive_dest_dir, "a_directory")
os.mkdir(a_directory)
a_file = os.path.join(archive_dest_dir, "a_file")
with open(a_file, 'w') as f:
f.write("hello")
a_symlink = os.path.join(archive_dest_dir, "a_link")
if _CONTENTS_SYMLINK in contents.values():
os.symlink("/somewhere", a_symlink)
archivefile = os.path.join(archive_dest_dir, "foo" + extension)
with tarfile.open(archivefile, mode) as tf:
for (key, what) in contents.items():
t = tarfile.TarInfo(key)
if what is _CONTENTS_DIR:
t.type = tarfile.DIRTYPE
elif what is _CONTENTS_FILE:
pass
elif what is _CONTENTS_SYMLINK:
t.type = tarfile.SYMTYPE
tf.addfile(t)
os.remove(a_file)
os.rmdir(a_directory)
if os.path.exists(a_symlink):
os.remove(a_symlink)
return archivefile
def _test_unarchive_tar(compression):
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir,
{'a/a.txt': _CONTENTS_FILE,
'a/q/b.txt': _CONTENTS_FILE,
'a/c': _CONTENTS_DIR,
'a': _CONTENTS_DIR},
compression=compression)
# with tarfile.open(archivefile, 'r') as tf:
# tf.list()
if compression is not None:
assert archivefile.endswith(compression)
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert status.errors == []
assert status
assert os.path.isdir(unpacked)
_assert_dir_contains(unpacked, ['a.txt', 'c', 'q/b.txt'])
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar():
_test_unarchive_tar(compression=None)
def test_unarchive_tar_gz():
_test_unarchive_tar(compression='gz')
def test_unarchive_tar_bz2():
_test_unarchive_tar(compression='bz2')
def test_unarchive_zip():
def archivetest(archive_dest_dir):
archivefile = _make_zip(archive_dest_dir, {'a/a.txt': _CONTENTS_FILE,
'a/q/b.txt': _CONTENTS_FILE,
'a/c': _CONTENTS_DIR,
'a': _CONTENTS_DIR})
# with zipfile.ZipFile(archivefile, 'r') as zf:
# print(repr(zf.namelist()))
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert status.errors == []
assert status
assert os.path.isdir(unpacked)
_assert_dir_contains(unpacked, ['a.txt', 'c', 'q/b.txt'])
assert status.project_dir == unpacked
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_zip_to_current_directory():
def archivetest(archive_dest_dir):
archivefile = _make_zip(archive_dest_dir, {'a/a.txt': _CONTENTS_FILE,
'a/q/b.txt': _CONTENTS_FILE,
'a/c': _CONTENTS_DIR,
'a': _CONTENTS_DIR})
# with zipfile.ZipFile(archivefile, 'r') as zf:
# print(repr(zf.namelist()))
def check(dirname):
old = os.getcwd()
try:
os.chdir(dirname)
status = project_ops.unarchive(archivefile, project_dir=None)
finally:
os.chdir(old)
unpacked = os.path.join(dirname, "a")
assert status.errors == []
assert status
assert os.path.isdir(unpacked)
_assert_dir_contains(unpacked, ['a.txt', 'c', 'q/b.txt'])
assert status.project_dir == unpacked
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_zip_to_parent_dir_with_auto_project_dir():
def archivetest(archive_dest_dir):
archivefile = _make_zip(archive_dest_dir, {'a/a.txt': _CONTENTS_FILE,
'a/q/b.txt': _CONTENTS_FILE,
'a/c': _CONTENTS_DIR})
# with zipfile.ZipFile(archivefile, 'r') as zf:
# print(repr(zf.namelist()))
def check(dirname):
unpacked = os.path.join(dirname, "a")
status = project_ops.unarchive(archivefile, project_dir=None, parent_dir=dirname)
assert status.errors == []
assert status
assert os.path.isdir(unpacked)
_assert_dir_contains(unpacked, ['a.txt', 'c', 'q/b.txt'])
assert status.project_dir == unpacked
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_to_parent_dir_with_auto_project_dir():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a/a.txt': _CONTENTS_FILE,
'a/q/b.txt': _CONTENTS_FILE,
'a/c': _CONTENTS_DIR})
def check(dirname):
unpacked = os.path.join(dirname, "a")
status = project_ops.unarchive(archivefile, project_dir=None, parent_dir=dirname)
assert status.errors == []
assert status
assert os.path.isdir(unpacked)
_assert_dir_contains(unpacked, ['a.txt', 'c', 'q/b.txt'])
assert status.project_dir == unpacked
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_error_on_dest_dir_exists():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a/a.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
os.mkdir(unpacked)
status = project_ops.unarchive(archivefile, unpacked)
message = "Directory '%s' already exists." % unpacked
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_ignore_rmtree_fail_when_unzipping(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = _make_zip(archive_dest_dir, {'a/a.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
def mock_rmtree(*args, **kwargs):
raise IOError("FAILURE")
monkeypatch.setattr('shutil.rmtree', mock_rmtree)
status = project_ops.unarchive(archivefile, unpacked)
monkeypatch.undo()
assert status
assert os.path.isdir(unpacked)
assert os.path.isfile(os.path.join(unpacked, "a.txt"))
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_error_on_bad_extension():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.bar")
with open(archivefile, 'w') as f:
f.write("hello")
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
message = "Unsupported archive filename %s, must be a .zip, .tar.gz, or .tar.bz2" % archivefile
assert status.errors == [message]
assert not status
assert not os.path.isdir(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_error_on_corrupt_zip():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
with open(archivefile, 'w') as f:
f.write("hello")
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
message = "File is not a zip file"
assert status.errors == [message]
assert not status
assert not os.path.isdir(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_error_on_corrupt_tar():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.tar")
with open(archivefile, 'w') as f:
f.write("hello")
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
message = "file could not be opened successfully"
assert status.errors == [message]
assert not status
assert not os.path.isdir(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_error_on_nonexistent_tar():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.tar")
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
# the exact message here varies by OS so not checking
assert len(status.errors) == 1
assert not status
assert not os.path.isdir(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_error_on_nonexistent_zip():
def archivetest(archive_dest_dir):
archivefile = os.path.join(archive_dest_dir, "foo.zip")
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
# the exact message here varies by OS so not checking
assert len(status.errors) == 1
assert not status
assert not os.path.isdir(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_ignores_symlink():
if platform.system() == 'Windows':
print("Can't test tars with symlinks on Windows because there's no way to create one")
return
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a/a.txt': _CONTENTS_FILE,
'a/q/b.txt': _CONTENTS_FILE,
'a/c': _CONTENTS_DIR,
'a/link': _CONTENTS_SYMLINK})
with tarfile.open(archivefile, 'r') as tf:
member = tf.getmember('a/link')
assert member is not None
assert member.issym()
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert status.errors == []
assert status
assert os.path.isdir(unpacked)
_assert_dir_contains(unpacked, ['a.txt', 'c', 'q/b.txt'])
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_error_on_relative_path():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a/../a.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert not os.path.exists(unpacked)
message = "Archive entry 'a/../a.txt' would end up at '%s' which is outside '%s'." % (os.path.join(
dirname, "a.txt"), os.path.join(unpacked))
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_error_on_root_relative_path():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'../a.txt': _CONTENTS_FILE})
def check(dirname):
# root relative path fails when project_dir=None
status = project_ops.unarchive(archivefile, project_dir=None, parent_dir=dirname)
message = "Archive contains relative path '../a.txt' which is not allowed."
assert status.errors == [message]
assert not status
# and also when it is specified
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, project_dir=unpacked)
message = "Archive contains relative path '../a.txt' which is not allowed."
assert status.errors == [message]
assert not status
assert not os.path.isdir(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_zip_error_on_relative_path():
def archivetest(archive_dest_dir):
archivefile = _make_zip(archive_dest_dir, {'a/../a.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
message = "Archive entry 'a/../a.txt' would end up at '%s' which is outside '%s'." % (os.path.join(
dirname, "a.txt"), os.path.join(unpacked))
assert status.errors == [message]
assert not status
assert not os.path.exists(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_zip_error_on_root_relative_path():
def archivetest(archive_dest_dir):
archivefile = _make_zip(archive_dest_dir, {'../a.txt': _CONTENTS_FILE})
def check(dirname):
# root relative path fails when project_dir=None
status = project_ops.unarchive(archivefile, project_dir=None, parent_dir=dirname)
message = "Archive contains relative path '../a.txt' which is not allowed."
assert status.errors == [message]
assert not status
# and also when it is specified
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, project_dir=unpacked)
message = "Archive contains relative path '../a.txt' which is not allowed."
assert status.errors == [message]
assert not status
assert not os.path.isdir(unpacked)
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_error_on_no_directory():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert not os.path.exists(unpacked)
message = "Archive does not contain a project directory or is empty."
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_error_on_only_directory():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a': _CONTENTS_DIR})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert not os.path.exists(unpacked)
message = "Archive does not contain a project directory or is empty."
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_error_on_multiple_directories():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a/b.txt': _CONTENTS_FILE, 'c/d.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert not os.path.exists(unpacked)
message = "A valid project archive contains only one project directory " + \
"with all files inside that directory. 'c/d.txt' is outside 'a'."
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_error_on_empty():
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert not os.path.exists(unpacked)
message = "A valid project archive must contain at least one file."
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_zip_error_on_empty():
def archivetest(archive_dest_dir):
archivefile = _make_zip(archive_dest_dir, {})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
status = project_ops.unarchive(archivefile, unpacked)
assert not os.path.exists(unpacked)
message = "A valid project archive must contain at least one file."
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_abs_project_dir_with_parent_dir():
with pytest.raises(ValueError) as excinfo:
project_ops.unarchive("foo.tar.gz", "/absolute", "/bar")
assert "If supplying parent_dir to unarchive, project_dir must be relative or None" == str(excinfo.value)
def test_unarchive_tar_error_on_writing_removes_dir(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a/b.txt': _CONTENTS_FILE, 'a/c.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
# this test is trying to prove that we clean up the dest
# directory if we get IO errors partway through creating
# it.
state = dict(count=0)
def mock_copyfileobj(*args, **kwargs):
# assert that 'unpacked' exists at some point
assert os.path.exists(unpacked)
state['count'] = state['count'] + 1
if state['count'] == 2:
raise IOError("Not copying second file")
monkeypatch.setattr('tarfile.copyfileobj', mock_copyfileobj)
status = project_ops.unarchive(archivefile, unpacked)
assert state['count'] == 2
assert not os.path.exists(unpacked)
message = "Not copying second file"
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_unarchive_tar_error_on_writing_then_error_removing_dir(monkeypatch):
def archivetest(archive_dest_dir):
archivefile = _make_tar(archive_dest_dir, {'a/b.txt': _CONTENTS_FILE, 'a/c.txt': _CONTENTS_FILE})
def check(dirname):
unpacked = os.path.join(dirname, "foo")
state = dict(count=0, rmtree_count=0)
def mock_copyfileobj(*args, **kwargs):
# assert that 'unpacked' exists at some point
assert os.path.exists(unpacked)
state['count'] = state['count'] + 1
if state['count'] == 2:
raise IOError("Not copying second file")
monkeypatch.setattr('tarfile.copyfileobj', mock_copyfileobj)
# this test is trying to prove that we ignore an exception
# from rmtree when cleaning up "unpacked"
def mock_rmtree(path):
assert os.path.exists(unpacked)
state['rmtree_count'] = state['rmtree_count'] + 1
raise IOError("rmtree failed")
monkeypatch.setattr('shutil.rmtree', mock_rmtree)
status = project_ops.unarchive(archivefile, unpacked)
monkeypatch.undo()
assert state['count'] == 2
assert state['rmtree_count'] == 1
assert os.path.exists(unpacked) # since the rmtree failed
message = "Not copying second file"
assert status.errors == [message]
assert not status
with_directory_contents(dict(), check)
with_directory_contents(dict(), archivetest)
def test_upload(monkeypatch):
def check(dirname):
with fake_server(monkeypatch, expected_basename='foo.tar.bz2'):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
status = project_ops.upload(project, site='unit_test')
assert status
assert status.url == 'http://example.com/whatevs'
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: "name: foo\n",
"foo.py": "print('hello')\n"}, check)
def test_upload_with_project_file_problems():
def check(dirname):
project = Project(dirname, frontend=FakeFrontend())
status = project_ops.upload(project)
assert not status
assert ["%s: variables section contains wrong value type 42, should be dict or list of requirements" %
project.project_file.basename] == status.errors
with_directory_contents_completing_project_file({DEFAULT_PROJECT_FILENAME: "variables:\n 42"}, check)
def test_upload_cannot_walk_directory(monkeypatch):
def check(dirname):
project = project_no_dedicated_env(dirname)
assert [] == project.problems
def mock_os_walk(dirname):
raise OSError("NOPE")
monkeypatch.setattr('os.walk', mock_os_walk)
status = project_ops.upload(project, site='unit_test')
assert not status
assert status.errors[0].startswith("Could not list files in")
with_directory_contents_completing_project_file(
{DEFAULT_PROJECT_FILENAME: "name: foo\n",
"foo.py": "print('hello')\n"}, check)
| 37.793453
| 120
| 0.621688
| 20,651
| 182,429
| 5.237809
| 0.035204
| 0.0147
| 0.040965
| 0.039264
| 0.869857
| 0.846994
| 0.824963
| 0.804282
| 0.782926
| 0.763678
| 0
| 0.008461
| 0.270467
| 182,429
| 4,826
| 121
| 37.801285
| 0.80428
| 0.038393
| 0
| 0.744904
| 0
| 0.005096
| 0.16265
| 0.014243
| 0
| 0
| 0
| 0
| 0.260759
| 1
| 0.131937
| false
| 0.011042
| 0.009626
| 0.000849
| 0.147508
| 0.007361
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fc881222f41e2ceab04aafa2b6908b338b652e73
| 96
|
py
|
Python
|
flask_perms/__init__.py
|
jrice128/permission_manager
|
02d415a5f6bc0b4fb2cf40fa6431c813fabe38ba
|
[
"MIT"
] | null | null | null |
flask_perms/__init__.py
|
jrice128/permission_manager
|
02d415a5f6bc0b4fb2cf40fa6431c813fabe38ba
|
[
"MIT"
] | null | null | null |
flask_perms/__init__.py
|
jrice128/permission_manager
|
02d415a5f6bc0b4fb2cf40fa6431c813fabe38ba
|
[
"MIT"
] | 1
|
2020-04-28T09:18:14.000Z
|
2020-04-28T09:18:14.000Z
|
from flask_perms.flask_perms import Flask_Perms
from flask_perms.flask_perms import perm_manager
| 48
| 48
| 0.90625
| 16
| 96
| 5.0625
| 0.375
| 0.617284
| 0.345679
| 0.469136
| 0.740741
| 0.740741
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072917
| 96
| 2
| 48
| 48
| 0.910112
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
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| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 8
|
5d87c02290645e3f5a9c1e2f75cb94f560afb95b
| 8,696
|
py
|
Python
|
GUI/printer/Pillow-2.7.0/Tests/test_imagemath.py
|
y-gupta/rfid-auth-system
|
44f3de884d05e1906757b97f0a1a140469a3290f
|
[
"Apache-2.0"
] | 5
|
2015-01-21T14:13:34.000Z
|
2016-05-14T06:53:38.000Z
|
GUI/printer/Pillow-2.7.0/Tests/test_imagemath.py
|
1upon0/rfid-auth-system
|
44f3de884d05e1906757b97f0a1a140469a3290f
|
[
"Apache-2.0"
] | null | null | null |
GUI/printer/Pillow-2.7.0/Tests/test_imagemath.py
|
1upon0/rfid-auth-system
|
44f3de884d05e1906757b97f0a1a140469a3290f
|
[
"Apache-2.0"
] | 3
|
2015-02-01T17:10:39.000Z
|
2019-12-05T05:21:42.000Z
|
from helper import unittest, PillowTestCase
from PIL import Image
from PIL import ImageMath
def pixel(im):
if hasattr(im, "im"):
return "%s %r" % (im.mode, im.getpixel((0, 0)))
else:
if isinstance(im, type(0)):
return int(im) # hack to deal with booleans
print(im)
A = Image.new("L", (1, 1), 1)
B = Image.new("L", (1, 1), 2)
Z = Image.new("L", (1, 1), 0) # Z for zero
F = Image.new("F", (1, 1), 3)
I = Image.new("I", (1, 1), 4)
A2 = A.resize((2, 2))
B2 = B.resize((2, 2))
images = {"A": A, "B": B, "F": F, "I": I}
class TestImageMath(PillowTestCase):
def test_sanity(self):
self.assertEqual(ImageMath.eval("1"), 1)
self.assertEqual(ImageMath.eval("1+A", A=2), 3)
self.assertEqual(pixel(ImageMath.eval("A+B", A=A, B=B)), "I 3")
self.assertEqual(pixel(ImageMath.eval("A+B", images)), "I 3")
self.assertEqual(pixel(ImageMath.eval("float(A)+B", images)), "F 3.0")
self.assertEqual(pixel(
ImageMath.eval("int(float(A)+B)", images)), "I 3")
def test_ops(self):
self.assertEqual(pixel(ImageMath.eval("-A", images)), "I -1")
self.assertEqual(pixel(ImageMath.eval("+B", images)), "L 2")
self.assertEqual(pixel(ImageMath.eval("A+B", images)), "I 3")
self.assertEqual(pixel(ImageMath.eval("A-B", images)), "I -1")
self.assertEqual(pixel(ImageMath.eval("A*B", images)), "I 2")
self.assertEqual(pixel(ImageMath.eval("A/B", images)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B**2", images)), "I 4")
self.assertEqual(pixel(
ImageMath.eval("B**33", images)), "I 2147483647")
self.assertEqual(pixel(ImageMath.eval("float(A)+B", images)), "F 3.0")
self.assertEqual(pixel(ImageMath.eval("float(A)-B", images)), "F -1.0")
self.assertEqual(pixel(ImageMath.eval("float(A)*B", images)), "F 2.0")
self.assertEqual(pixel(ImageMath.eval("float(A)/B", images)), "F 0.5")
self.assertEqual(pixel(ImageMath.eval("float(B)**2", images)), "F 4.0")
self.assertEqual(pixel(
ImageMath.eval("float(B)**33", images)), "F 8589934592.0")
def test_logical(self):
self.assertEqual(pixel(ImageMath.eval("not A", images)), 0)
self.assertEqual(pixel(ImageMath.eval("A and B", images)), "L 2")
self.assertEqual(pixel(ImageMath.eval("A or B", images)), "L 1")
def test_convert(self):
self.assertEqual(pixel(
ImageMath.eval("convert(A+B, 'L')", images)), "L 3")
self.assertEqual(pixel(
ImageMath.eval("convert(A+B, '1')", images)), "1 0")
self.assertEqual(pixel(
ImageMath.eval("convert(A+B, 'RGB')", images)), "RGB (3, 3, 3)")
def test_compare(self):
self.assertEqual(pixel(ImageMath.eval("min(A, B)", images)), "I 1")
self.assertEqual(pixel(ImageMath.eval("max(A, B)", images)), "I 2")
self.assertEqual(pixel(ImageMath.eval("A == 1", images)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A == 2", images)), "I 0")
def test_one_image_larger(self):
self.assertEqual(pixel(ImageMath.eval("A+B", A=A2, B=B)), "I 3")
self.assertEqual(pixel(ImageMath.eval("A+B", A=A, B=B2)), "I 3")
def test_abs(self):
self.assertEqual(pixel(ImageMath.eval("abs(A)", A=A)), "I 1")
self.assertEqual(pixel(ImageMath.eval("abs(B)", B=B)), "I 2")
def test_binary_mod(self):
self.assertEqual(pixel(ImageMath.eval("A%A", A=A)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B%B", B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A%B", A=A, B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("B%A", A=A, B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("Z%A", A=A, Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("Z%B", B=B, Z=Z)), "I 0")
def test_bitwise_invert(self):
self.assertEqual(pixel(ImageMath.eval("~Z", Z=Z)), "I -1")
self.assertEqual(pixel(ImageMath.eval("~A", A=A)), "I -2")
self.assertEqual(pixel(ImageMath.eval("~B", B=B)), "I -3")
def test_bitwise_and(self):
self.assertEqual(pixel(ImageMath.eval("Z&Z", A=A, Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("Z&A", A=A, Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A&Z", A=A, Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A&A", A=A, Z=Z)), "I 1")
def test_bitwise_or(self):
self.assertEqual(pixel(ImageMath.eval("Z|Z", A=A, Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("Z|A", A=A, Z=Z)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A|Z", A=A, Z=Z)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A|A", A=A, Z=Z)), "I 1")
def test_bitwise_xor(self):
self.assertEqual(pixel(ImageMath.eval("Z^Z", A=A, Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("Z^A", A=A, Z=Z)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A^Z", A=A, Z=Z)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A^A", A=A, Z=Z)), "I 0")
def test_bitwise_leftshift(self):
self.assertEqual(pixel(ImageMath.eval("Z<<0", Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("Z<<1", Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A<<0", A=A)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A<<1", A=A)), "I 2")
def test_bitwise_rightshift(self):
self.assertEqual(pixel(ImageMath.eval("Z>>0", Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("Z>>1", Z=Z)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A>>0", A=A)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A>>1", A=A)), "I 0")
def test_logical_eq(self):
self.assertEqual(pixel(ImageMath.eval("A==A", A=A)), "I 1")
self.assertEqual(pixel(ImageMath.eval("B==B", B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A==B", A=A, B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B==A", A=A, B=B)), "I 0")
def test_logical_ne(self):
self.assertEqual(pixel(ImageMath.eval("A!=A", A=A)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B!=B", B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A!=B", A=A, B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("B!=A", A=A, B=B)), "I 1")
def test_logical_lt(self):
self.assertEqual(pixel(ImageMath.eval("A<A", A=A)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B<B", B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A<B", A=A, B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("B<A", A=A, B=B)), "I 0")
def test_logical_le(self):
self.assertEqual(pixel(ImageMath.eval("A<=A", A=A)), "I 1")
self.assertEqual(pixel(ImageMath.eval("B<=B", B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A<=B", A=A, B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("B<=A", A=A, B=B)), "I 0")
def test_logical_gt(self):
self.assertEqual(pixel(ImageMath.eval("A>A", A=A)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B>B", B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("A>B", A=A, B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B>A", A=A, B=B)), "I 1")
def test_logical_ge(self):
self.assertEqual(pixel(ImageMath.eval("A>=A", A=A)), "I 1")
self.assertEqual(pixel(ImageMath.eval("B>=B", B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("A>=B", A=A, B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("B>=A", A=A, B=B)), "I 1")
def test_logical_equal(self):
self.assertEqual(pixel(ImageMath.eval("equal(A, A)", A=A)), "I 1")
self.assertEqual(pixel(ImageMath.eval("equal(B, B)", B=B)), "I 1")
self.assertEqual(pixel(ImageMath.eval("equal(Z, Z)", Z=Z)), "I 1")
self.assertEqual(pixel(ImageMath.eval("equal(A, B)", A=A, B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("equal(B, A)", A=A, B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("equal(A, Z)", A=A, Z=Z)), "I 0")
def test_logical_not_equal(self):
self.assertEqual(pixel(ImageMath.eval("notequal(A, A)", A=A)), "I 0")
self.assertEqual(pixel(ImageMath.eval("notequal(B, B)", B=B)), "I 0")
self.assertEqual(pixel(ImageMath.eval("notequal(Z, Z)", Z=Z)), "I 0")
self.assertEqual(
pixel(ImageMath.eval("notequal(A, B)", A=A, B=B)), "I 1")
self.assertEqual(
pixel(ImageMath.eval("notequal(B, A)", A=A, B=B)), "I 1")
self.assertEqual(
pixel(ImageMath.eval("notequal(A, Z)", A=A, Z=Z)), "I 1")
if __name__ == '__main__':
unittest.main()
# End of file
| 46.010582
| 79
| 0.584522
| 1,382
| 8,696
| 3.643271
| 0.065847
| 0.294935
| 0.385303
| 0.558689
| 0.865144
| 0.840119
| 0.809136
| 0.752731
| 0.676663
| 0.660973
| 0
| 0.024676
| 0.193767
| 8,696
| 188
| 80
| 46.255319
| 0.693482
| 0.005635
| 0
| 0.086093
| 0
| 0
| 0.107833
| 0
| 0
| 0
| 0
| 0
| 0.655629
| 1
| 0.152318
| false
| 0
| 0.019868
| 0
| 0.192053
| 0.006623
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
5dae4200946c8cfaac41da0b0e395d21e35ef9b2
| 3,052
|
py
|
Python
|
Zhangjiashan_eemd/projects/esvr_one_step.py
|
zjy8006/MonthlyRunoffForecastByAutoReg
|
661fcb5dcdfbbb2ec6861e1668a035b50e69f7c2
|
[
"MIT"
] | 2
|
2020-05-18T06:45:04.000Z
|
2021-05-18T06:38:23.000Z
|
Zhangjiashan_eemd/projects/esvr_one_step.py
|
zjy8006/MonthlyRunoffForecastByAutoReg
|
661fcb5dcdfbbb2ec6861e1668a035b50e69f7c2
|
[
"MIT"
] | null | null | null |
Zhangjiashan_eemd/projects/esvr_one_step.py
|
zjy8006/MonthlyRunoffForecastByAutoReg
|
661fcb5dcdfbbb2ec6861e1668a035b50e69f7c2
|
[
"MIT"
] | 1
|
2020-01-17T02:56:18.000Z
|
2020-01-17T02:56:18.000Z
|
import sys
import matplotlib.pyplot as plt
import os
root_path = os.path.dirname(os.path.abspath('__file__'))
sys.path.append(root_path)
from tools.models import one_step_esvr, one_step_esvr_multi_seed
from Zhangjiashan_eemd.projects.variables import variables
if __name__ == '__main__':
# one_step_esvr_multi_seed(
# root_path=root_path,
# station='Zhangjiashan',
# decomposer='eemd',
# predict_pattern='one_step_1_ahead_forecast_pacf_train_val',# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
# n_calls=100,
# )
# one_step_esvr_multi_seed(
# root_path=root_path,
# station='Zhangjiashan',
# decomposer='eemd',
# predict_pattern='one_step_1_ahead_forecast_pacf_traindev_test',# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
# n_calls=100,
# )
# one_step_esvr_multi_seed(
# root_path=root_path,
# station='Zhangjiashan',
# decomposer='eemd',
# predict_pattern='one_step_1_ahead_forecast_pacf_traindev_append',# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
# n_calls=100,
# )
# for leading_time in [1,3,5,7,9]:
# one_step_esvr_multi_seed(
# root_path=root_path,
# station='Zhangjiashan',
# decomposer='eemd',
# predict_pattern='one_step_'+str(leading_time)+'_ahead_forecast_pacf',# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
# n_calls=100,
# )
for leading_time in [1,3,5,7,9]:
one_step_esvr_multi_seed(
root_path=root_path,
station='Zhangjiashan',
decomposer='eemd',
predict_pattern='one_step_'+str(leading_time)+'_ahead_forecast_pcc_local',# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
n_calls=100,
)
# one_step_esvr_multi_seed(
# root_path=root_path,
# station='Zhangjiashan',
# decomposer='eemd',
# predict_pattern='one_step_1_ahead_forecast_pacf_pca22',#+str(i),# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
# n_calls=100,
# )
# one_step_esvr_multi_seed(
# root_path=root_path,
# station='Zhangjiashan',
# decomposer='eemd',
# predict_pattern='one_step_1_ahead_forecast_pacf_pcamle',#+str(i),# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
# n_calls=100,
# )
# num_in_one = sum(variables['lags_dict'].values())
# for n_components in range(num_in_one-16,num_in_one+1):
# one_step_esvr_multi_seed(
# root_path=root_path,
# station='Zhangjiashan',
# decomposer='eemd',
# predict_pattern='one_step_1_ahead_forecast_pacf_pca'+str(n_components),# hindcast or forecast or hindcast_with_pca_mle or forecast_with_pca_mle
# n_calls=100,
# )
| 42.388889
| 158
| 0.66481
| 401
| 3,052
| 4.571072
| 0.174564
| 0.07856
| 0.087289
| 0.07856
| 0.820513
| 0.809602
| 0.809602
| 0.809602
| 0.809602
| 0.809602
| 0
| 0.019455
| 0.242136
| 3,052
| 71
| 159
| 42.985915
| 0.773022
| 0.702818
| 0
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| 0.078199
| 0.029621
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| 0
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| 0
| 1
| 0
| false
| 0
| 0.3125
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| 0.3125
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| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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0
| 7
|
5de539ebf39393ee4bf3baad8cd824066cd67aef
| 17,262
|
py
|
Python
|
python/paddle/fluid/tests/unittests/rnn/test_rnn_nets_static.py
|
zmxdream/Paddle
|
04f042a5d507ad98f7f2cfc3cbc44b06d7a7f45c
|
[
"Apache-2.0"
] | 17,085
|
2016-11-18T06:40:52.000Z
|
2022-03-31T22:52:32.000Z
|
python/paddle/fluid/tests/unittests/rnn/test_rnn_nets_static.py
|
zmxdream/Paddle
|
04f042a5d507ad98f7f2cfc3cbc44b06d7a7f45c
|
[
"Apache-2.0"
] | 29,769
|
2016-11-18T06:35:22.000Z
|
2022-03-31T16:46:15.000Z
|
python/paddle/fluid/tests/unittests/rnn/test_rnn_nets_static.py
|
zmxdream/Paddle
|
04f042a5d507ad98f7f2cfc3cbc44b06d7a7f45c
|
[
"Apache-2.0"
] | 4,641
|
2016-11-18T07:43:33.000Z
|
2022-03-31T15:15:02.000Z
|
# Copyright (c) 2020 PaddlePaddle 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.
import paddle
paddle.set_default_dtype("float64")
from paddle.fluid.layers import sequence_mask
paddle.enable_static()
import numpy as np
import unittest
from convert import convert_params_for_net_static
from rnn_numpy import SimpleRNN, LSTM, GRU
bidirectional_list = ["bidirectional", "bidirect"]
class TestSimpleRNN(unittest.TestCase):
def __init__(self, time_major=True, direction="forward", place="cpu"):
super(TestSimpleRNN, self).__init__("runTest")
self.time_major = time_major
self.direction = direction
self.num_directions = 2 if direction in bidirectional_list else 1
self.place = place
def setUp(self):
# Since `set_device` is global, set `set_device` in `setUp` rather than
# `__init__` to avoid using an error device set by another test case.
place = paddle.set_device(self.place)
rnn1 = SimpleRNN(
16, 32, 2, time_major=self.time_major, direction=self.direction)
mp = paddle.static.Program()
sp = paddle.static.Program()
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
rnn2 = paddle.nn.SimpleRNN(
16,
32,
2,
time_major=self.time_major,
direction=self.direction)
exe = paddle.static.Executor(place)
scope = paddle.fluid.Scope()
with paddle.static.scope_guard(scope):
exe.run(sp)
convert_params_for_net_static(rnn1, rnn2, place)
self.mp = mp
self.sp = sp
self.rnn1 = rnn1
self.rnn2 = rnn2
self.place = place
self.executor = exe
self.scope = scope
def test_with_initial_state(self):
mp = self.mp.clone().clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
prev_h = np.random.randn(2 * self.num_directions, 4, 32)
y1, h1 = rnn1(x, prev_h)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
init_h = paddle.fluid.data(
"init_h", [2 * self.num_directions, -1, 32],
dtype=paddle.framework.get_default_dtype())
y, h = rnn2(x_data, init_h)
feed_dict = {x_data.name: x, init_h.name: prev_h}
with paddle.static.scope_guard(scope):
y2, h2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
def test_with_zero_state(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
y1, h1 = rnn1(x)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
y, h = rnn2(x_data)
feed_dict = {x_data.name: x}
with paddle.static.scope_guard(scope):
y2, h2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
def test_with_input_lengths(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
sequence_length = np.array([12, 10, 9, 8], dtype=np.int64)
y1, h1 = rnn1(x, sequence_length=sequence_length)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
seq_len = paddle.fluid.data("seq_len", [-1], dtype="int64")
mask = sequence_mask(seq_len, dtype=paddle.get_default_dtype())
if self.time_major:
mask = paddle.transpose(mask, [1, 0])
y, h = rnn2(x_data, sequence_length=seq_len)
mask = paddle.unsqueeze(mask, -1)
y = paddle.multiply(y, mask)
feed_dict = {x_data.name: x, seq_len.name: sequence_length}
with paddle.static.scope_guard(scope):
y2, h2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
def runTest(self):
self.test_with_initial_state()
self.test_with_zero_state()
self.test_with_input_lengths()
class TestGRU(unittest.TestCase):
def __init__(self, time_major=True, direction="forward", place="cpu"):
super(TestGRU, self).__init__("runTest")
self.time_major = time_major
self.direction = direction
self.num_directions = 2 if direction in bidirectional_list else 1
self.place = place
def setUp(self):
# Since `set_device` is global, set `set_device` in `setUp` rather than
# `__init__` to avoid using an error device set by another test case.
place = paddle.set_device(self.place)
rnn1 = GRU(16,
32,
2,
time_major=self.time_major,
direction=self.direction)
mp = paddle.static.Program()
sp = paddle.static.Program()
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
rnn2 = paddle.nn.GRU(16,
32,
2,
time_major=self.time_major,
direction=self.direction)
exe = paddle.static.Executor(place)
scope = paddle.fluid.Scope()
with paddle.static.scope_guard(scope):
exe.run(sp)
convert_params_for_net_static(rnn1, rnn2, place)
self.mp = mp
self.sp = sp
self.rnn1 = rnn1
self.rnn2 = rnn2
self.place = place
self.executor = exe
self.scope = scope
def test_with_initial_state(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
prev_h = np.random.randn(2 * self.num_directions, 4, 32)
y1, h1 = rnn1(x, prev_h)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
init_h = paddle.fluid.data(
"init_h", [2 * self.num_directions, -1, 32],
dtype=paddle.framework.get_default_dtype())
y, h = rnn2(x_data, init_h)
feed_dict = {x_data.name: x, init_h.name: prev_h}
with paddle.static.scope_guard(scope):
y2, h2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
def test_with_zero_state(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
y1, h1 = rnn1(x)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
y, h = rnn2(x_data)
feed_dict = {x_data.name: x}
with paddle.static.scope_guard(scope):
y2, h2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
def test_with_input_lengths(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
sequence_length = np.array([12, 10, 9, 8], dtype=np.int64)
y1, h1 = rnn1(x, sequence_length=sequence_length)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
seq_len = paddle.fluid.data("seq_len", [-1], dtype="int64")
mask = sequence_mask(seq_len, dtype=paddle.get_default_dtype())
if self.time_major:
mask = paddle.transpose(mask, [1, 0])
y, h = rnn2(x_data, sequence_length=seq_len)
mask = paddle.unsqueeze(mask, -1)
y = paddle.multiply(y, mask)
feed_dict = {x_data.name: x, seq_len.name: sequence_length}
with paddle.static.scope_guard(scope):
y2, h2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
def runTest(self):
self.test_with_initial_state()
self.test_with_zero_state()
class TestLSTM(unittest.TestCase):
def __init__(self, time_major=True, direction="forward", place="cpu"):
super(TestLSTM, self).__init__("runTest")
self.time_major = time_major
self.direction = direction
self.num_directions = 2 if direction in bidirectional_list else 1
self.place = place
def setUp(self):
# Since `set_device` is global, set `set_device` in `setUp` rather than
# `__init__` to avoid using an error device set by another test case.
place = paddle.set_device(self.place)
rnn1 = LSTM(
16, 32, 2, time_major=self.time_major, direction=self.direction)
mp = paddle.static.Program()
sp = paddle.static.Program()
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
rnn2 = paddle.nn.LSTM(
16,
32,
2,
time_major=self.time_major,
direction=self.direction)
exe = paddle.static.Executor(place)
scope = paddle.fluid.Scope()
with paddle.static.scope_guard(scope):
exe.run(sp)
convert_params_for_net_static(rnn1, rnn2, place)
self.mp = mp
self.sp = sp
self.rnn1 = rnn1
self.rnn2 = rnn2
self.place = place
self.executor = exe
self.scope = scope
def test_with_initial_state(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
prev_h = np.random.randn(2 * self.num_directions, 4, 32)
prev_c = np.random.randn(2 * self.num_directions, 4, 32)
y1, (h1, c1) = rnn1(x, (prev_h, prev_c))
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
init_h = paddle.fluid.data(
"init_h", [2 * self.num_directions, -1, 32],
dtype=paddle.framework.get_default_dtype())
init_c = paddle.fluid.data(
"init_c", [2 * self.num_directions, -1, 32],
dtype=paddle.framework.get_default_dtype())
y, (h, c) = rnn2(x_data, (init_h, init_c))
feed_dict = {x_data.name: x, init_h.name: prev_h, init_c.name: prev_c}
with paddle.static.scope_guard(scope):
y2, h2, c2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h, c])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(c1, c2, atol=1e-8, rtol=1e-5)
def test_with_zero_state(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
y1, (h1, c1) = rnn1(x)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
y, (h, c) = rnn2(x_data)
feed_dict = {x_data.name: x}
with paddle.static.scope_guard(scope):
y2, h2, c2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h, c])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(c1, c2, atol=1e-8, rtol=1e-5)
def test_with_input_lengths(self):
mp = self.mp.clone()
sp = self.sp
rnn1 = self.rnn1
rnn2 = self.rnn2
exe = self.executor
scope = self.scope
x = np.random.randn(12, 4, 16)
if not self.time_major:
x = np.transpose(x, [1, 0, 2])
sequence_length = np.array([12, 10, 9, 8], dtype=np.int64)
y1, (h1, c1) = rnn1(x, sequence_length=sequence_length)
with paddle.fluid.unique_name.guard():
with paddle.static.program_guard(mp, sp):
x_data = paddle.fluid.data(
"input", [-1, -1, 16],
dtype=paddle.framework.get_default_dtype())
seq_len = paddle.fluid.data("seq_len", [-1], dtype="int64")
mask = sequence_mask(seq_len, dtype=paddle.get_default_dtype())
if self.time_major:
mask = paddle.transpose(mask, [1, 0])
y, (h, c) = rnn2(x_data, sequence_length=seq_len)
mask = paddle.unsqueeze(mask, -1)
y = paddle.multiply(y, mask)
feed_dict = {x_data.name: x, seq_len.name: sequence_length}
with paddle.static.scope_guard(scope):
y2, h2, c2 = exe.run(mp, feed=feed_dict, fetch_list=[y, h, c])
np.testing.assert_allclose(y1, y2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(h1, h2, atol=1e-8, rtol=1e-5)
np.testing.assert_allclose(c1, c2, atol=1e-8, rtol=1e-5)
def runTest(self):
self.test_with_initial_state()
self.test_with_zero_state()
self.test_with_input_lengths()
def load_tests(loader, tests, pattern):
suite = unittest.TestSuite()
devices = ["cpu", "gpu"] if paddle.fluid.is_compiled_with_cuda() \
else ["cpu"]
for direction in ["forward", "bidirectional", "bidirect"]:
for time_major in [True, False]:
for device in devices:
for test_class in [TestSimpleRNN, TestLSTM, TestGRU]:
suite.addTest(test_class(time_major, direction, device))
return suite
if __name__ == "__main__":
unittest.main()
| 35.665289
| 79
| 0.565635
| 2,312
| 17,262
| 4.056661
| 0.086505
| 0.038384
| 0.033266
| 0.051498
| 0.881331
| 0.876959
| 0.876853
| 0.876426
| 0.876426
| 0.876426
| 0
| 0.040176
| 0.316533
| 17,262
| 483
| 80
| 35.73913
| 0.754789
| 0.057757
| 0
| 0.881402
| 0
| 0
| 0.014097
| 0
| 0
| 0
| 0
| 0
| 0.056604
| 1
| 0.051213
| false
| 0
| 0.016173
| 0
| 0.078167
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
|
0
| 7
|
f8da0cf6fb0f466b4432f8e0102c5597411e346f
| 8,760
|
py
|
Python
|
etl/parsers/etw/Microsoft_Windows_Kernel_Network.py
|
IMULMUL/etl-parser
|
76b7c046866ce0469cd129ee3f7bb3799b34e271
|
[
"Apache-2.0"
] | 104
|
2020-03-04T14:31:31.000Z
|
2022-03-28T02:59:36.000Z
|
etl/parsers/etw/Microsoft_Windows_Kernel_Network.py
|
IMULMUL/etl-parser
|
76b7c046866ce0469cd129ee3f7bb3799b34e271
|
[
"Apache-2.0"
] | 7
|
2020-04-20T09:18:39.000Z
|
2022-03-19T17:06:19.000Z
|
etl/parsers/etw/Microsoft_Windows_Kernel_Network.py
|
IMULMUL/etl-parser
|
76b7c046866ce0469cd129ee3f7bb3799b34e271
|
[
"Apache-2.0"
] | 16
|
2020-03-05T18:55:59.000Z
|
2022-03-01T10:19:28.000Z
|
# -*- coding: utf-8 -*-
"""
Microsoft-Windows-Kernel-Network
GUID : 7dd42a49-5329-4832-8dfd-43d979153a88
"""
from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct
from etl.utils import WString, CString, SystemTime, Guid
from etl.dtyp import Sid
from etl.parsers.etw.core import Etw, declare, guid
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=10, version=0)
class Microsoft_Windows_Kernel_Network_10_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"startime" / Int32ul,
"endtime" / Int32ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=11, version=0)
class Microsoft_Windows_Kernel_Network_11_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=12, version=0)
class Microsoft_Windows_Kernel_Network_12_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"mss" / Int16ul,
"sackopt" / Int16ul,
"tsopt" / Int16ul,
"wsopt" / Int16ul,
"rcvwin" / Int32ul,
"rcvwinscale" / Int16ul,
"sndwinscale" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=13, version=0)
class Microsoft_Windows_Kernel_Network_13_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=14, version=0)
class Microsoft_Windows_Kernel_Network_14_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=15, version=0)
class Microsoft_Windows_Kernel_Network_15_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"mss" / Int16ul,
"sackopt" / Int16ul,
"tsopt" / Int16ul,
"wsopt" / Int16ul,
"rcvwin" / Int32ul,
"rcvwinscale" / Int16ul,
"sndwinscale" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=16, version=0)
class Microsoft_Windows_Kernel_Network_16_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=17, version=0)
class Microsoft_Windows_Kernel_Network_17_0(Etw):
pattern = Struct(
"Proto" / Int16ul,
"FailureCode" / Int16ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=18, version=0)
class Microsoft_Windows_Kernel_Network_18_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=26, version=0)
class Microsoft_Windows_Kernel_Network_26_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"startime" / Int32ul,
"endtime" / Int32ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=27, version=0)
class Microsoft_Windows_Kernel_Network_27_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=28, version=0)
class Microsoft_Windows_Kernel_Network_28_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"mss" / Int16ul,
"sackopt" / Int16ul,
"tsopt" / Int16ul,
"wsopt" / Int16ul,
"rcvwin" / Int32ul,
"rcvwinscale" / Int16ul,
"sndwinscale" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=29, version=0)
class Microsoft_Windows_Kernel_Network_29_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=30, version=0)
class Microsoft_Windows_Kernel_Network_30_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=31, version=0)
class Microsoft_Windows_Kernel_Network_31_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"mss" / Int16ul,
"sackopt" / Int16ul,
"tsopt" / Int16ul,
"wsopt" / Int16ul,
"rcvwin" / Int32ul,
"rcvwinscale" / Int16ul,
"sndwinscale" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=32, version=0)
class Microsoft_Windows_Kernel_Network_32_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=34, version=0)
class Microsoft_Windows_Kernel_Network_34_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=42, version=0)
class Microsoft_Windows_Kernel_Network_42_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=43, version=0)
class Microsoft_Windows_Kernel_Network_43_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"daddr" / Int32ul,
"saddr" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=49, version=0)
class Microsoft_Windows_Kernel_Network_49_0(Etw):
pattern = Struct(
"Proto" / Int16ul,
"FailureCode" / Int16ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=58, version=0)
class Microsoft_Windows_Kernel_Network_58_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
@declare(guid=guid("7dd42a49-5329-4832-8dfd-43d979153a88"), event_id=59, version=0)
class Microsoft_Windows_Kernel_Network_59_0(Etw):
pattern = Struct(
"PID" / Int32ul,
"size" / Int32ul,
"dport" / Int16ul,
"sport" / Int16ul,
"seqnum" / Int32ul,
"connid" / Int32ul
)
| 27.460815
| 123
| 0.588128
| 908
| 8,760
| 5.528634
| 0.094714
| 0.073307
| 0.100797
| 0.132869
| 0.933865
| 0.933865
| 0.926693
| 0.742629
| 0.742629
| 0.742629
| 0
| 0.165514
| 0.273744
| 8,760
| 318
| 124
| 27.54717
| 0.623546
| 0.011301
| 0
| 0.738806
| 0
| 0
| 0.199491
| 0.09154
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.014925
| 0
| 0.179104
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
f8db93ac372020837533a75894709c246936f4eb
| 27,038
|
py
|
Python
|
sdk/python/pulumi_gcp/kms/registry.py
|
sisisin/pulumi-gcp
|
af6681d70ea457843409110c1324817fe55f68ad
|
[
"ECL-2.0",
"Apache-2.0"
] | 121
|
2018-06-18T19:16:42.000Z
|
2022-03-31T06:06:48.000Z
|
sdk/python/pulumi_gcp/kms/registry.py
|
sisisin/pulumi-gcp
|
af6681d70ea457843409110c1324817fe55f68ad
|
[
"ECL-2.0",
"Apache-2.0"
] | 492
|
2018-06-22T19:41:03.000Z
|
2022-03-31T15:33:53.000Z
|
sdk/python/pulumi_gcp/kms/registry.py
|
sisisin/pulumi-gcp
|
af6681d70ea457843409110c1324817fe55f68ad
|
[
"ECL-2.0",
"Apache-2.0"
] | 43
|
2018-06-19T01:43:13.000Z
|
2022-03-23T22:43:37.000Z
|
# 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
from . import outputs
from ._inputs import *
__all__ = ['RegistryArgs', 'Registry']
@pulumi.input_type
class RegistryArgs:
def __init__(__self__, *,
credentials: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]]] = None,
event_notification_configs: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]]] = None,
http_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
log_level: Optional[pulumi.Input[str]] = None,
mqtt_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
region: Optional[pulumi.Input[str]] = None,
state_notification_config: Optional[pulumi.Input[Mapping[str, Any]]] = None):
"""
The set of arguments for constructing a Registry resource.
:param pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]] credentials: List of public key certificates to authenticate devices.
:param pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]] event_notification_configs: List of configurations for event notifications, such as PubSub topics to publish device events to.
:param pulumi.Input[Mapping[str, Any]] http_config: Activate or deactivate HTTP.
:param pulumi.Input[str] log_level: The default logging verbosity for activity from devices in this registry. Specifies which events should be written to
logs. For example, if the LogLevel is ERROR, only events that terminate in errors will be logged. LogLevel is inclusive;
enabling INFO logging will also enable ERROR logging. Default value: "NONE" Possible values: ["NONE", "ERROR", "INFO",
"DEBUG"]
:param pulumi.Input[Mapping[str, Any]] mqtt_config: Activate or deactivate MQTT.
:param pulumi.Input[str] name: A unique name for the resource, required by device registry.
:param pulumi.Input[str] region: The region in which the created registry should reside. If it is not provided, the provider region is used.
:param pulumi.Input[Mapping[str, Any]] state_notification_config: A PubSub topic to publish device state updates.
"""
if credentials is not None:
pulumi.set(__self__, "credentials", credentials)
if event_notification_configs is not None:
pulumi.set(__self__, "event_notification_configs", event_notification_configs)
if http_config is not None:
pulumi.set(__self__, "http_config", http_config)
if log_level is not None:
pulumi.set(__self__, "log_level", log_level)
if mqtt_config is not None:
pulumi.set(__self__, "mqtt_config", mqtt_config)
if name is not None:
pulumi.set(__self__, "name", name)
if project is not None:
pulumi.set(__self__, "project", project)
if region is not None:
pulumi.set(__self__, "region", region)
if state_notification_config is not None:
pulumi.set(__self__, "state_notification_config", state_notification_config)
@property
@pulumi.getter
def credentials(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]]]:
"""
List of public key certificates to authenticate devices.
"""
return pulumi.get(self, "credentials")
@credentials.setter
def credentials(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]]]):
pulumi.set(self, "credentials", value)
@property
@pulumi.getter(name="eventNotificationConfigs")
def event_notification_configs(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]]]:
"""
List of configurations for event notifications, such as PubSub topics to publish device events to.
"""
return pulumi.get(self, "event_notification_configs")
@event_notification_configs.setter
def event_notification_configs(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]]]):
pulumi.set(self, "event_notification_configs", value)
@property
@pulumi.getter(name="httpConfig")
def http_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Activate or deactivate HTTP.
"""
return pulumi.get(self, "http_config")
@http_config.setter
def http_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "http_config", value)
@property
@pulumi.getter(name="logLevel")
def log_level(self) -> Optional[pulumi.Input[str]]:
"""
The default logging verbosity for activity from devices in this registry. Specifies which events should be written to
logs. For example, if the LogLevel is ERROR, only events that terminate in errors will be logged. LogLevel is inclusive;
enabling INFO logging will also enable ERROR logging. Default value: "NONE" Possible values: ["NONE", "ERROR", "INFO",
"DEBUG"]
"""
return pulumi.get(self, "log_level")
@log_level.setter
def log_level(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "log_level", value)
@property
@pulumi.getter(name="mqttConfig")
def mqtt_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Activate or deactivate MQTT.
"""
return pulumi.get(self, "mqtt_config")
@mqtt_config.setter
def mqtt_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "mqtt_config", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
A unique name for the resource, required by device registry.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def project(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "project")
@project.setter
def project(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "project", value)
@property
@pulumi.getter
def region(self) -> Optional[pulumi.Input[str]]:
"""
The region in which the created registry should reside. If it is not provided, the provider region is used.
"""
return pulumi.get(self, "region")
@region.setter
def region(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "region", value)
@property
@pulumi.getter(name="stateNotificationConfig")
def state_notification_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
A PubSub topic to publish device state updates.
"""
return pulumi.get(self, "state_notification_config")
@state_notification_config.setter
def state_notification_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "state_notification_config", value)
@pulumi.input_type
class _RegistryState:
def __init__(__self__, *,
credentials: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]]] = None,
event_notification_configs: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]]] = None,
http_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
log_level: Optional[pulumi.Input[str]] = None,
mqtt_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
region: Optional[pulumi.Input[str]] = None,
state_notification_config: Optional[pulumi.Input[Mapping[str, Any]]] = None):
"""
Input properties used for looking up and filtering Registry resources.
:param pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]] credentials: List of public key certificates to authenticate devices.
:param pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]] event_notification_configs: List of configurations for event notifications, such as PubSub topics to publish device events to.
:param pulumi.Input[Mapping[str, Any]] http_config: Activate or deactivate HTTP.
:param pulumi.Input[str] log_level: The default logging verbosity for activity from devices in this registry. Specifies which events should be written to
logs. For example, if the LogLevel is ERROR, only events that terminate in errors will be logged. LogLevel is inclusive;
enabling INFO logging will also enable ERROR logging. Default value: "NONE" Possible values: ["NONE", "ERROR", "INFO",
"DEBUG"]
:param pulumi.Input[Mapping[str, Any]] mqtt_config: Activate or deactivate MQTT.
:param pulumi.Input[str] name: A unique name for the resource, required by device registry.
:param pulumi.Input[str] region: The region in which the created registry should reside. If it is not provided, the provider region is used.
:param pulumi.Input[Mapping[str, Any]] state_notification_config: A PubSub topic to publish device state updates.
"""
if credentials is not None:
pulumi.set(__self__, "credentials", credentials)
if event_notification_configs is not None:
pulumi.set(__self__, "event_notification_configs", event_notification_configs)
if http_config is not None:
pulumi.set(__self__, "http_config", http_config)
if log_level is not None:
pulumi.set(__self__, "log_level", log_level)
if mqtt_config is not None:
pulumi.set(__self__, "mqtt_config", mqtt_config)
if name is not None:
pulumi.set(__self__, "name", name)
if project is not None:
pulumi.set(__self__, "project", project)
if region is not None:
pulumi.set(__self__, "region", region)
if state_notification_config is not None:
pulumi.set(__self__, "state_notification_config", state_notification_config)
@property
@pulumi.getter
def credentials(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]]]:
"""
List of public key certificates to authenticate devices.
"""
return pulumi.get(self, "credentials")
@credentials.setter
def credentials(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryCredentialArgs']]]]):
pulumi.set(self, "credentials", value)
@property
@pulumi.getter(name="eventNotificationConfigs")
def event_notification_configs(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]]]:
"""
List of configurations for event notifications, such as PubSub topics to publish device events to.
"""
return pulumi.get(self, "event_notification_configs")
@event_notification_configs.setter
def event_notification_configs(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['RegistryEventNotificationConfigItemArgs']]]]):
pulumi.set(self, "event_notification_configs", value)
@property
@pulumi.getter(name="httpConfig")
def http_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Activate or deactivate HTTP.
"""
return pulumi.get(self, "http_config")
@http_config.setter
def http_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "http_config", value)
@property
@pulumi.getter(name="logLevel")
def log_level(self) -> Optional[pulumi.Input[str]]:
"""
The default logging verbosity for activity from devices in this registry. Specifies which events should be written to
logs. For example, if the LogLevel is ERROR, only events that terminate in errors will be logged. LogLevel is inclusive;
enabling INFO logging will also enable ERROR logging. Default value: "NONE" Possible values: ["NONE", "ERROR", "INFO",
"DEBUG"]
"""
return pulumi.get(self, "log_level")
@log_level.setter
def log_level(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "log_level", value)
@property
@pulumi.getter(name="mqttConfig")
def mqtt_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Activate or deactivate MQTT.
"""
return pulumi.get(self, "mqtt_config")
@mqtt_config.setter
def mqtt_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "mqtt_config", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
A unique name for the resource, required by device registry.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def project(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "project")
@project.setter
def project(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "project", value)
@property
@pulumi.getter
def region(self) -> Optional[pulumi.Input[str]]:
"""
The region in which the created registry should reside. If it is not provided, the provider region is used.
"""
return pulumi.get(self, "region")
@region.setter
def region(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "region", value)
@property
@pulumi.getter(name="stateNotificationConfig")
def state_notification_config(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
A PubSub topic to publish device state updates.
"""
return pulumi.get(self, "state_notification_config")
@state_notification_config.setter
def state_notification_config(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "state_notification_config", value)
warnings.warn("""gcp.kms.Registry has been deprecated in favor of gcp.iot.Registry""", DeprecationWarning)
class Registry(pulumi.CustomResource):
warnings.warn("""gcp.kms.Registry has been deprecated in favor of gcp.iot.Registry""", DeprecationWarning)
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
credentials: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryCredentialArgs']]]]] = None,
event_notification_configs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryEventNotificationConfigItemArgs']]]]] = None,
http_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
log_level: Optional[pulumi.Input[str]] = None,
mqtt_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
region: Optional[pulumi.Input[str]] = None,
state_notification_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
__props__=None):
"""
Create a Registry resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryCredentialArgs']]]] credentials: List of public key certificates to authenticate devices.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryEventNotificationConfigItemArgs']]]] event_notification_configs: List of configurations for event notifications, such as PubSub topics to publish device events to.
:param pulumi.Input[Mapping[str, Any]] http_config: Activate or deactivate HTTP.
:param pulumi.Input[str] log_level: The default logging verbosity for activity from devices in this registry. Specifies which events should be written to
logs. For example, if the LogLevel is ERROR, only events that terminate in errors will be logged. LogLevel is inclusive;
enabling INFO logging will also enable ERROR logging. Default value: "NONE" Possible values: ["NONE", "ERROR", "INFO",
"DEBUG"]
:param pulumi.Input[Mapping[str, Any]] mqtt_config: Activate or deactivate MQTT.
:param pulumi.Input[str] name: A unique name for the resource, required by device registry.
:param pulumi.Input[str] region: The region in which the created registry should reside. If it is not provided, the provider region is used.
:param pulumi.Input[Mapping[str, Any]] state_notification_config: A PubSub topic to publish device state updates.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: Optional[RegistryArgs] = None,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Create a Registry resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param RegistryArgs 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(RegistryArgs, 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,
credentials: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryCredentialArgs']]]]] = None,
event_notification_configs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryEventNotificationConfigItemArgs']]]]] = None,
http_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
log_level: Optional[pulumi.Input[str]] = None,
mqtt_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
region: Optional[pulumi.Input[str]] = None,
state_notification_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
__props__=None):
pulumi.log.warn("""Registry is deprecated: gcp.kms.Registry has been deprecated in favor of gcp.iot.Registry""")
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__ = RegistryArgs.__new__(RegistryArgs)
__props__.__dict__["credentials"] = credentials
__props__.__dict__["event_notification_configs"] = event_notification_configs
__props__.__dict__["http_config"] = http_config
__props__.__dict__["log_level"] = log_level
__props__.__dict__["mqtt_config"] = mqtt_config
__props__.__dict__["name"] = name
__props__.__dict__["project"] = project
__props__.__dict__["region"] = region
__props__.__dict__["state_notification_config"] = state_notification_config
super(Registry, __self__).__init__(
'gcp:kms/registry:Registry',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
credentials: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryCredentialArgs']]]]] = None,
event_notification_configs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryEventNotificationConfigItemArgs']]]]] = None,
http_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
log_level: Optional[pulumi.Input[str]] = None,
mqtt_config: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
region: Optional[pulumi.Input[str]] = None,
state_notification_config: Optional[pulumi.Input[Mapping[str, Any]]] = None) -> 'Registry':
"""
Get an existing Registry 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[Sequence[pulumi.Input[pulumi.InputType['RegistryCredentialArgs']]]] credentials: List of public key certificates to authenticate devices.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RegistryEventNotificationConfigItemArgs']]]] event_notification_configs: List of configurations for event notifications, such as PubSub topics to publish device events to.
:param pulumi.Input[Mapping[str, Any]] http_config: Activate or deactivate HTTP.
:param pulumi.Input[str] log_level: The default logging verbosity for activity from devices in this registry. Specifies which events should be written to
logs. For example, if the LogLevel is ERROR, only events that terminate in errors will be logged. LogLevel is inclusive;
enabling INFO logging will also enable ERROR logging. Default value: "NONE" Possible values: ["NONE", "ERROR", "INFO",
"DEBUG"]
:param pulumi.Input[Mapping[str, Any]] mqtt_config: Activate or deactivate MQTT.
:param pulumi.Input[str] name: A unique name for the resource, required by device registry.
:param pulumi.Input[str] region: The region in which the created registry should reside. If it is not provided, the provider region is used.
:param pulumi.Input[Mapping[str, Any]] state_notification_config: A PubSub topic to publish device state updates.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _RegistryState.__new__(_RegistryState)
__props__.__dict__["credentials"] = credentials
__props__.__dict__["event_notification_configs"] = event_notification_configs
__props__.__dict__["http_config"] = http_config
__props__.__dict__["log_level"] = log_level
__props__.__dict__["mqtt_config"] = mqtt_config
__props__.__dict__["name"] = name
__props__.__dict__["project"] = project
__props__.__dict__["region"] = region
__props__.__dict__["state_notification_config"] = state_notification_config
return Registry(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def credentials(self) -> pulumi.Output[Optional[Sequence['outputs.RegistryCredential']]]:
"""
List of public key certificates to authenticate devices.
"""
return pulumi.get(self, "credentials")
@property
@pulumi.getter(name="eventNotificationConfigs")
def event_notification_configs(self) -> pulumi.Output[Sequence['outputs.RegistryEventNotificationConfigItem']]:
"""
List of configurations for event notifications, such as PubSub topics to publish device events to.
"""
return pulumi.get(self, "event_notification_configs")
@property
@pulumi.getter(name="httpConfig")
def http_config(self) -> pulumi.Output[Mapping[str, Any]]:
"""
Activate or deactivate HTTP.
"""
return pulumi.get(self, "http_config")
@property
@pulumi.getter(name="logLevel")
def log_level(self) -> pulumi.Output[Optional[str]]:
"""
The default logging verbosity for activity from devices in this registry. Specifies which events should be written to
logs. For example, if the LogLevel is ERROR, only events that terminate in errors will be logged. LogLevel is inclusive;
enabling INFO logging will also enable ERROR logging. Default value: "NONE" Possible values: ["NONE", "ERROR", "INFO",
"DEBUG"]
"""
return pulumi.get(self, "log_level")
@property
@pulumi.getter(name="mqttConfig")
def mqtt_config(self) -> pulumi.Output[Mapping[str, Any]]:
"""
Activate or deactivate MQTT.
"""
return pulumi.get(self, "mqtt_config")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
A unique name for the resource, required by device registry.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def project(self) -> pulumi.Output[str]:
return pulumi.get(self, "project")
@property
@pulumi.getter
def region(self) -> pulumi.Output[str]:
"""
The region in which the created registry should reside. If it is not provided, the provider region is used.
"""
return pulumi.get(self, "region")
@property
@pulumi.getter(name="stateNotificationConfig")
def state_notification_config(self) -> pulumi.Output[Optional[Mapping[str, Any]]]:
"""
A PubSub topic to publish device state updates.
"""
return pulumi.get(self, "state_notification_config")
| 50.256506
| 239
| 0.670908
| 3,119
| 27,038
| 5.63033
| 0.064444
| 0.089573
| 0.087637
| 0.046637
| 0.899208
| 0.892831
| 0.883435
| 0.878481
| 0.875577
| 0.868231
| 0
| 0.000048
| 0.2262
| 27,038
| 537
| 240
| 50.350093
| 0.839308
| 0.32262
| 0
| 0.839009
| 1
| 0
| 0.13191
| 0.072487
| 0
| 0
| 0
| 0
| 0
| 1
| 0.160991
| false
| 0.003096
| 0.021672
| 0.009288
| 0.278638
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
5d391d7d91f7baf4982e710eb48f76b7da31c38d
| 4,802
|
py
|
Python
|
lib/Model.py
|
bcrafton/ssdfa
|
661f9059184fde6ba7ad1ca710c5b5a1954c5ea6
|
[
"MIT"
] | 10
|
2019-01-23T17:07:59.000Z
|
2021-07-13T10:18:10.000Z
|
semantic-segmentation/lib/Model.py
|
bcrafton/icsrl-deep-learning
|
e3616982d1dda5f978d61d6591c91cb0da76ab02
|
[
"MIT"
] | 1
|
2019-07-30T00:55:58.000Z
|
2019-09-17T13:31:48.000Z
|
semantic-segmentation/lib/Model.py
|
bcrafton/icsrl-deep-learning
|
e3616982d1dda5f978d61d6591c91cb0da76ab02
|
[
"MIT"
] | 1
|
2019-07-28T17:28:30.000Z
|
2019-07-28T17:28:30.000Z
|
import tensorflow as tf
import numpy as np
np.set_printoptions(threshold=1000)
class Model:
def __init__(self, layers : tuple):
self.num_layers = len(layers)
self.layers = layers
def num_params(self):
param_sum = 0
for ii in range(self.num_layers):
l = self.layers[ii]
param_sum += l.num_params()
return param_sum
def get_weights(self):
weights = {}
for ii in range(self.num_layers):
l = self.layers[ii]
tup = l.get_weights()
for (key, value) in tup:
weights[key] = value
return weights
def predict(self, X):
A = [None] * self.num_layers
for ii in range(self.num_layers):
l = self.layers[ii]
if ii == 0:
A[ii] = l.forward(X)
else:
A[ii] = l.forward(A[ii-1]['aout'])
return A[self.num_layers-1]['aout']
####################################################################
def gvs(self, X, Y):
A = [None] * self.num_layers
D = [None] * self.num_layers
grads_and_vars = []
for ii in range(self.num_layers):
l = self.layers[ii]
if ii == 0:
A[ii] = l.forward(X)
else:
A[ii] = l.forward(A[ii-1]['aout'])
E = tf.nn.softmax(A[self.num_layers-1]['aout']) - Y
N = tf.shape(A[self.num_layers-1]['aout'])[0]
N = tf.cast(N, dtype=tf.float32)
E = E / N
for ii in range(self.num_layers-1, -1, -1):
l = self.layers[ii]
if (ii == self.num_layers-1):
D[ii], gvs = l.bp(A[ii-1]['aout'], A[ii]['aout'], E, A[ii]['cache'])
grads_and_vars.extend(gvs)
elif (ii == 0):
D[ii], gvs = l.bp(X, A[ii]['aout'], D[ii+1]['dout'], A[ii]['cache'])
grads_and_vars.extend(gvs)
else:
D[ii], gvs = l.bp(A[ii-1]['aout'], A[ii]['aout'], D[ii+1]['dout'], A[ii]['cache'])
grads_and_vars.extend(gvs)
return grads_and_vars
def dfa_gvs(self, X, Y):
A = [None] * self.num_layers
D = [None] * self.num_layers
grads_and_vars = []
for ii in range(self.num_layers):
l = self.layers[ii]
if ii == 0:
A[ii] = l.forward(X)
else:
A[ii] = l.forward(A[ii-1]['aout'])
E = tf.nn.softmax(A[self.num_layers-1]['aout']) - Y
N = tf.shape(A[self.num_layers-1]['aout'])[0]
N = tf.cast(N, dtype=tf.float32)
E = E / N
for ii in range(self.num_layers-1, -1, -1):
l = self.layers[ii]
if (ii == self.num_layers-1):
D[ii], gvs = l.dfa(A[ii-1]['aout'], A[ii]['aout'], E, E, A[ii]['cache'])
grads_and_vars.extend(gvs)
elif (ii == 0):
D[ii], gvs = l.dfa(X, A[ii]['aout'], E, D[ii+1]['dout'], A[ii]['cache'])
grads_and_vars.extend(gvs)
else:
D[ii], gvs = l.dfa(A[ii-1]['aout'], A[ii]['aout'], E, D[ii+1]['dout'], A[ii]['cache'])
grads_and_vars.extend(gvs)
return grads_and_vars
def lel_gvs(self, X, Y):
A = [None] * self.num_layers
D = [None] * self.num_layers
grads_and_vars = []
for ii in range(self.num_layers):
l = self.layers[ii]
if ii == 0:
A[ii] = l.forward(X)
else:
A[ii] = l.forward(A[ii-1]['aout'])
E = tf.nn.softmax(A[self.num_layers-1]['aout']) - Y
N = tf.shape(A[self.num_layers-1]['aout'])[0]
N = tf.cast(N, dtype=tf.float32)
E = E / N
for ii in range(self.num_layers-1, -1, -1):
l = self.layers[ii]
if (ii == self.num_layers-1):
D[ii], gvs = l.lel(A[ii-1]['aout'], A[ii]['aout'], E, E, Y, A[ii]['cache'])
grads_and_vars.extend(gvs)
elif (ii == 0):
D[ii], gvs = l.lel(X, A[ii]['aout'], E, D[ii+1]['dout'], Y, A[ii]['cache'])
grads_and_vars.extend(gvs)
else:
D[ii], gvs = l.lel(A[ii-1]['aout'], A[ii]['aout'], E, D[ii+1]['dout'], Y, A[ii]['cache'])
grads_and_vars.extend(gvs)
return grads_and_vars
####################################################################
| 32.013333
| 105
| 0.420242
| 652
| 4,802
| 2.986196
| 0.09816
| 0.05547
| 0.180277
| 0.093477
| 0.843349
| 0.829995
| 0.820236
| 0.820236
| 0.820236
| 0.818182
| 0
| 0.019218
| 0.39317
| 4,802
| 149
| 106
| 32.228188
| 0.648936
| 0
| 0
| 0.712963
| 0
| 0
| 0.037085
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.064815
| false
| 0
| 0.018519
| 0
| 0.148148
| 0.009259
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
5d48d7505370a663f5097d7969f8ad12b5150ad5
| 152
|
py
|
Python
|
examples/software_defined_assets/software_defined_assets_tests/test_spark_weather_job.py
|
makotonium/dagster
|
f5d56514b7e7c5bca28ea14060316d242f51b71b
|
[
"Apache-2.0"
] | 4,606
|
2018-06-21T17:45:20.000Z
|
2022-03-31T23:39:42.000Z
|
examples/software_defined_assets/software_defined_assets_tests/test_spark_weather_job.py
|
makotonium/dagster
|
f5d56514b7e7c5bca28ea14060316d242f51b71b
|
[
"Apache-2.0"
] | 6,221
|
2018-06-12T04:36:01.000Z
|
2022-03-31T21:43:05.000Z
|
examples/software_defined_assets/software_defined_assets_tests/test_spark_weather_job.py
|
makotonium/dagster
|
f5d56514b7e7c5bca28ea14060316d242f51b71b
|
[
"Apache-2.0"
] | 619
|
2018-08-22T22:43:09.000Z
|
2022-03-31T22:48:06.000Z
|
from software_defined_assets.spark_weather_job import weather_job
def test_airport_weather_job():
assert weather_job.execute_in_process().success
| 25.333333
| 65
| 0.855263
| 22
| 152
| 5.409091
| 0.727273
| 0.336134
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092105
| 152
| 5
| 66
| 30.4
| 0.862319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
5373c1304cae10875a5a9f6505575d6e1fc4d283
| 22
|
py
|
Python
|
Unit1/Part1/7.py
|
Devansu-Yadav/BasicsOfPython
|
503ffb2f89da815d95e3eabf5b14de544729e705
|
[
"MIT"
] | 1
|
2020-01-16T18:31:29.000Z
|
2020-01-16T18:31:29.000Z
|
Unit1/Part1/7.py
|
golashboy/BasicsOfPython
|
b4a8db65ff9b513f836cf68e8dd4bcaebe5072bb
|
[
"MIT"
] | null | null | null |
Unit1/Part1/7.py
|
golashboy/BasicsOfPython
|
b4a8db65ff9b513f836cf68e8dd4bcaebe5072bb
|
[
"MIT"
] | null | null | null |
a,b=100,200
print(a,b)
| 11
| 11
| 0.681818
| 7
| 22
| 2.142857
| 0.714286
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.285714
| 0.045455
| 22
| 2
| 12
| 11
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
53bc6eec4922c6b267f60a3d886e8c2e179faef5
| 43,902
|
py
|
Python
|
code/deep-high-resolution-net.pytorch/lib/models/pose_resnext.py
|
SomaKishimoto/AwA-Pose
|
b9877d538af25d07a6e2f9fa0b5aa2fdf544db99
|
[
"MIT"
] | 22
|
2019-08-12T09:35:48.000Z
|
2022-02-15T15:09:56.000Z
|
code/deep-high-resolution-net.pytorch/lib/models/pose_resnext.py
|
SomaKishimoto/AwA-Pose
|
b9877d538af25d07a6e2f9fa0b5aa2fdf544db99
|
[
"MIT"
] | 10
|
2019-09-13T09:57:33.000Z
|
2021-07-19T12:15:59.000Z
|
code/deep-high-resolution-net.pytorch/lib/models/pose_resnext.py
|
SomaKishimoto/AwA-Pose
|
b9877d538af25d07a6e2f9fa0b5aa2fdf544db99
|
[
"MIT"
] | 2
|
2019-09-29T12:18:28.000Z
|
2021-07-26T10:34:05.000Z
|
import torch
import torch.nn as nn
import os
import logging
# import torch.legacy.nn as lnn
from functools import reduce
from torch.autograd import Variable
BN_MOMENTUM = 0.1
logger = logging.getLogger(__name__)
class LambdaBase(nn.Sequential):
def __init__(self, fn, *args):
super(LambdaBase, self).__init__(*args)
self.lambda_func = fn
def forward_prepare(self, input):
output = []
for module in self._modules.values():
output.append(module(input))
return output if output else input
class Lambda(LambdaBase):
def forward(self, input):
return self.lambda_func(self.forward_prepare(input))
class LambdaMap(LambdaBase):
def forward(self, input):
return list(map(self.lambda_func, self.forward_prepare(input)))
class LambdaReduce(LambdaBase):
def forward(self, input):
return reduce(self.lambda_func, self.forward_prepare(input))
class PoseResneXt(nn.Module):
def __init__(self):
self.inplanes = 2048
self.deconv_with_bias = False
super(PoseResneXt, self).__init__()
self.resnext_101_64x4d = nn.Sequential( # Sequential,
nn.Conv2d(3, 64, (7, 7), (2, 2), (3, 3), 1, 1, bias=False),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d((3, 3), (2, 2), (1, 1)),
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(64, 256, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.Conv2d(256, 256, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(256),
nn.ReLU(),
),
nn.Conv2d(256, 256, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(256),
),
nn.Sequential( # Sequential,
nn.Conv2d(64, 256, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(256),
),
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(256, 256, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.Conv2d(256, 256, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(256),
nn.ReLU(),
),
nn.Conv2d(256, 256, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(256),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(256, 256, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.Conv2d(256, 256, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(256),
nn.ReLU(),
),
nn.Conv2d(256, 256, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(256),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
),
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(256, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
nn.Conv2d(512, 512, (3, 3), (2, 2), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
),
nn.Conv2d(512, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
),
nn.Sequential( # Sequential,
nn.Conv2d(256, 512, (1, 1), (2, 2), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
),
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(512, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
nn.Conv2d(512, 512, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
),
nn.Conv2d(512, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(512, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
nn.Conv2d(512, 512, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
),
nn.Conv2d(512, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(512, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
nn.Conv2d(512, 512, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(512),
nn.ReLU(),
),
nn.Conv2d(512, 512, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(512),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
),
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(512, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (2, 2), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
nn.Sequential( # Sequential,
nn.Conv2d(512, 1024, (1, 1), (2, 2), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
nn.Conv2d(1024, 1024, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(1024),
nn.ReLU(),
),
nn.Conv2d(1024, 1024, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(1024),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
),
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(1024, 2048, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(2048),
nn.ReLU(),
nn.Conv2d(2048, 2048, (3, 3), (2, 2), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(2048),
nn.ReLU(),
),
nn.Conv2d(2048, 2048, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(2048),
),
nn.Sequential( # Sequential,
nn.Conv2d(1024, 2048, (1, 1), (2, 2), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(2048),
),
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(2048, 2048, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(2048),
nn.ReLU(),
nn.Conv2d(2048, 2048, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(2048),
nn.ReLU(),
),
nn.Conv2d(2048, 2048, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(2048),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
nn.Sequential( # Sequential,
LambdaMap(lambda x: x, # ConcatTable,
nn.Sequential( # Sequential,
nn.Sequential( # Sequential,
nn.Conv2d(2048, 2048, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(2048),
nn.ReLU(),
nn.Conv2d(2048, 2048, (3, 3), (1, 1), (1, 1), 1, 64, bias=False),
nn.BatchNorm2d(2048),
nn.ReLU(),
),
nn.Conv2d(2048, 2048, (1, 1), (1, 1), (0, 0), 1, 1, bias=False),
nn.BatchNorm2d(2048),
),
Lambda(lambda x: x), # Identity,
),
LambdaReduce(lambda x, y: x + y), # CAddTable,
nn.ReLU(),
),
),
# nn.AvgPool2d((7, 7), (1, 1)),
# Lambda(lambda x: x.view(x.size(0), -1)), # View,
# nn.Sequential(Lambda(lambda x: x.view(1, -1) if 1 == len(x.size()) else x), nn.Linear(2048, 1000)),
# Linear,
)
self.deconv_layers = self._make_deconv_layer(
3, [256, 256, 256], [4, 4, 4], )
self.final_layer = nn.Conv2d(
in_channels=256,
out_channels=15,
kernel_size=1,
stride=1,
padding=0)
def _get_deconv_cfg(self, deconv_kernel, index):
if deconv_kernel == 4:
padding = 1
output_padding = 0
elif deconv_kernel == 3:
padding = 1
output_padding = 1
elif deconv_kernel == 2:
padding = 0
output_padding = 0
return deconv_kernel, padding, output_padding
def _make_deconv_layer(self, num_layers, num_filters, num_kernels):
assert num_layers == len(num_filters), \
'ERROR: num_deconv_layers is different len(num_deconv_filters)'
assert num_layers == len(num_kernels), \
'ERROR: num_deconv_layers is different len(num_deconv_filters)'
layers = []
for i in range(num_layers):
kernel, padding, output_padding = \
self._get_deconv_cfg(num_kernels[i], i)
planes = num_filters[i]
layers.append(
nn.ConvTranspose2d(
in_channels=self.inplanes,
out_channels=planes,
kernel_size=kernel,
stride=2,
padding=padding,
output_padding=output_padding,
bias=self.deconv_with_bias))
layers.append(nn.BatchNorm2d(planes, momentum=0.1))
layers.append(nn.ReLU(inplace=True))
self.inplanes = planes
return nn.Sequential(*layers)
def forward(self, x):
x = self.resnext_101_64x4d(x)
x = self.deconv_layers(x)
x = self.final_layer(x)
return x
def init_weights(self, pretrained=''):
if os.path.isfile(pretrained):
logger.info('=> init deconv weights from normal distribution')
for name, m in self.deconv_layers.named_modules():
if isinstance(m, nn.ConvTranspose2d):
logger.info('=> init {}.weight as normal(0, 0.001)'.format(name))
logger.info('=> init {}.bias as 0'.format(name))
nn.init.normal_(m.weight, std=0.001)
if self.deconv_with_bias:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.BatchNorm2d):
logger.info('=> init {}.weight as 1'.format(name))
logger.info('=> init {}.bias as 0'.format(name))
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
logger.info('=> init final conv weights from normal distribution')
for m in self.final_layer.modules():
if isinstance(m, nn.Conv2d):
# nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
logger.info('=> init {}.weight as normal(0, 0.001)'.format(name))
logger.info('=> init {}.bias as 0'.format(name))
nn.init.normal_(m.weight, std=0.001)
nn.init.constant_(m.bias, 0)
pretrained_state_dict = torch.load(pretrained)
need_init_state_dict = {}
logger.info('=> loading pretrained model {}'.format(pretrained))
for name, value in pretrained_state_dict.items():
need_init_state_dict['resnext_101_64x4d.{}'.format(name)] = value
self.load_state_dict(need_init_state_dict, strict=False)
else:
logger.info('=> init weights from normal distribution')
for m in self.modules():
if isinstance(m, nn.Conv2d):
# nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
nn.init.normal_(m.weight, std=0.001)
# nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.ConvTranspose2d):
nn.init.normal_(m.weight, std=0.001)
if self.deconv_with_bias:
nn.init.constant_(m.bias, 0)
def get_pose_net(is_train, **kwargs):
pretrained = './models/pytorch/resnext_101_64x4d.pth'
model = PoseResneXt()
if is_train:
model.init_weights(pretrained)
return model
def main():
model = PoseResneXt()
device = torch.device('cuda:0')
pretrained_dict = torch.load('../../models/pytorch/resnext_101_64x4d.pth')
need_init_state_dict = {}
for name, value in pretrained_dict.items():
need_init_state_dict['resnext_101_64x4d.{}'.format(name)] = value
for name, value in need_init_state_dict.items():
print(name, ':', value)
print(need_init_state_dict)
model.load_state_dict(need_init_state_dict, strict=False)
model.to(device)
x = torch.rand(1, 3, 256, 192).to(device)
x = model(x)
print(x.size())
for name, parameters in model.named_parameters():
print(name, ':', parameters.size())
if __name__ == '__main__':
main()
| 51.893617
| 113
| 0.332604
| 3,654
| 43,902
| 3.949097
| 0.041598
| 0.055994
| 0.047193
| 0.035204
| 0.852529
| 0.836452
| 0.8228
| 0.8228
| 0.808663
| 0.794941
| 0
| 0.121663
| 0.551228
| 43,902
| 845
| 114
| 51.95503
| 0.61075
| 0.062981
| 0
| 0.849246
| 0
| 0
| 0.014221
| 0.003079
| 0
| 0
| 0
| 0
| 0.002513
| 1
| 0.015075
| false
| 0
| 0.007538
| 0.003769
| 0.038945
| 0.005025
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
53bf61129f5563225944909831928aee8b685683
| 181
|
py
|
Python
|
narwhallet/core/kcl/bip_utils/base58/__init__.py
|
Snider/narwhallet
|
0d528763c735f1e68b8264e302854d41e7cf1956
|
[
"MIT"
] | 3
|
2021-12-29T11:25:13.000Z
|
2022-01-16T13:57:17.000Z
|
narwhallet/core/kcl/bip_utils/base58/__init__.py
|
Snider/narwhallet
|
0d528763c735f1e68b8264e302854d41e7cf1956
|
[
"MIT"
] | null | null | null |
narwhallet/core/kcl/bip_utils/base58/__init__.py
|
Snider/narwhallet
|
0d528763c735f1e68b8264e302854d41e7cf1956
|
[
"MIT"
] | 1
|
2022-01-16T13:57:20.000Z
|
2022-01-16T13:57:20.000Z
|
from narwhallet.core.kcl.bip_utils.base58.base58_ex import Base58ChecksumError
from narwhallet.core.kcl.bip_utils.base58.base58 import Base58Alphabets, Base58Decoder, Base58Encoder
| 60.333333
| 101
| 0.878453
| 23
| 181
| 6.782609
| 0.565217
| 0.179487
| 0.230769
| 0.269231
| 0.525641
| 0.525641
| 0.525641
| 0.525641
| 0
| 0
| 0
| 0.093567
| 0.055249
| 181
| 2
| 102
| 90.5
| 0.818713
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
53c3e1acf176d51449326cb0091c6f54b4f61343
| 285,875
|
py
|
Python
|
tests/unit/gapic/datacatalog_v1beta1/test_data_catalog.py
|
steffnay/python-datacatalog
|
90a0be276e38e889a5086f8fd233d5b25e19965e
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/gapic/datacatalog_v1beta1/test_data_catalog.py
|
steffnay/python-datacatalog
|
90a0be276e38e889a5086f8fd233d5b25e19965e
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/gapic/datacatalog_v1beta1/test_data_catalog.py
|
steffnay/python-datacatalog
|
90a0be276e38e889a5086f8fd233d5b25e19965e
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, 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 mock
import packaging.version
import grpc
from grpc.experimental import aio
import math
import pytest
from proto.marshal.rules.dates import DurationRule, TimestampRule
from google.api_core import client_options
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import grpc_helpers
from google.api_core import grpc_helpers_async
from google.auth import credentials as ga_credentials
from google.auth.exceptions import MutualTLSChannelError
from google.cloud.datacatalog_v1beta1.services.data_catalog import (
DataCatalogAsyncClient,
)
from google.cloud.datacatalog_v1beta1.services.data_catalog import DataCatalogClient
from google.cloud.datacatalog_v1beta1.services.data_catalog import pagers
from google.cloud.datacatalog_v1beta1.services.data_catalog import transports
from google.cloud.datacatalog_v1beta1.services.data_catalog.transports.base import (
_GOOGLE_AUTH_VERSION,
)
from google.cloud.datacatalog_v1beta1.types import common
from google.cloud.datacatalog_v1beta1.types import datacatalog
from google.cloud.datacatalog_v1beta1.types import gcs_fileset_spec
from google.cloud.datacatalog_v1beta1.types import schema
from google.cloud.datacatalog_v1beta1.types import search
from google.cloud.datacatalog_v1beta1.types import table_spec
from google.cloud.datacatalog_v1beta1.types import tags
from google.cloud.datacatalog_v1beta1.types import timestamps
from google.iam.v1 import iam_policy_pb2 # type: ignore
from google.iam.v1 import options_pb2 # type: ignore
from google.iam.v1 import policy_pb2 # type: ignore
from google.oauth2 import service_account
from google.protobuf import field_mask_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.type import expr_pb2 # type: ignore
import google.auth
# TODO(busunkim): Once google-auth >= 1.25.0 is required transitively
# through google-api-core:
# - Delete the auth "less than" test cases
# - Delete these pytest markers (Make the "greater than or equal to" tests the default).
requires_google_auth_lt_1_25_0 = pytest.mark.skipif(
packaging.version.parse(_GOOGLE_AUTH_VERSION) >= packaging.version.parse("1.25.0"),
reason="This test requires google-auth < 1.25.0",
)
requires_google_auth_gte_1_25_0 = pytest.mark.skipif(
packaging.version.parse(_GOOGLE_AUTH_VERSION) < packaging.version.parse("1.25.0"),
reason="This test requires google-auth >= 1.25.0",
)
def client_cert_source_callback():
return b"cert bytes", b"key bytes"
# If default endpoint is localhost, then default mtls endpoint will be the same.
# This method modifies the default endpoint so the client can produce a different
# mtls endpoint for endpoint testing purposes.
def modify_default_endpoint(client):
return (
"foo.googleapis.com"
if ("localhost" in client.DEFAULT_ENDPOINT)
else client.DEFAULT_ENDPOINT
)
def test__get_default_mtls_endpoint():
api_endpoint = "example.googleapis.com"
api_mtls_endpoint = "example.mtls.googleapis.com"
sandbox_endpoint = "example.sandbox.googleapis.com"
sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
non_googleapi = "api.example.com"
assert DataCatalogClient._get_default_mtls_endpoint(None) is None
assert (
DataCatalogClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
)
assert (
DataCatalogClient._get_default_mtls_endpoint(api_mtls_endpoint)
== api_mtls_endpoint
)
assert (
DataCatalogClient._get_default_mtls_endpoint(sandbox_endpoint)
== sandbox_mtls_endpoint
)
assert (
DataCatalogClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
== sandbox_mtls_endpoint
)
assert DataCatalogClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
@pytest.mark.parametrize("client_class", [DataCatalogClient, DataCatalogAsyncClient,])
def test_data_catalog_client_from_service_account_info(client_class):
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(
service_account.Credentials, "from_service_account_info"
) as factory:
factory.return_value = creds
info = {"valid": True}
client = client_class.from_service_account_info(info)
assert client.transport._credentials == creds
assert isinstance(client, client_class)
assert client.transport._host == "datacatalog.googleapis.com:443"
@pytest.mark.parametrize(
"transport_class,transport_name",
[
(transports.DataCatalogGrpcTransport, "grpc"),
(transports.DataCatalogGrpcAsyncIOTransport, "grpc_asyncio"),
],
)
def test_data_catalog_client_service_account_always_use_jwt(
transport_class, transport_name
):
with mock.patch.object(
service_account.Credentials, "with_always_use_jwt_access", create=True
) as use_jwt:
creds = service_account.Credentials(None, None, None)
transport = transport_class(credentials=creds, always_use_jwt_access=True)
use_jwt.assert_called_once_with(True)
with mock.patch.object(
service_account.Credentials, "with_always_use_jwt_access", create=True
) as use_jwt:
creds = service_account.Credentials(None, None, None)
transport = transport_class(credentials=creds, always_use_jwt_access=False)
use_jwt.assert_not_called()
@pytest.mark.parametrize("client_class", [DataCatalogClient, DataCatalogAsyncClient,])
def test_data_catalog_client_from_service_account_file(client_class):
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(
service_account.Credentials, "from_service_account_file"
) as factory:
factory.return_value = creds
client = client_class.from_service_account_file("dummy/file/path.json")
assert client.transport._credentials == creds
assert isinstance(client, client_class)
client = client_class.from_service_account_json("dummy/file/path.json")
assert client.transport._credentials == creds
assert isinstance(client, client_class)
assert client.transport._host == "datacatalog.googleapis.com:443"
def test_data_catalog_client_get_transport_class():
transport = DataCatalogClient.get_transport_class()
available_transports = [
transports.DataCatalogGrpcTransport,
]
assert transport in available_transports
transport = DataCatalogClient.get_transport_class("grpc")
assert transport == transports.DataCatalogGrpcTransport
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(DataCatalogClient, transports.DataCatalogGrpcTransport, "grpc"),
(
DataCatalogAsyncClient,
transports.DataCatalogGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
@mock.patch.object(
DataCatalogClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataCatalogClient)
)
@mock.patch.object(
DataCatalogAsyncClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataCatalogAsyncClient),
)
def test_data_catalog_client_client_options(
client_class, transport_class, transport_name
):
# Check that if channel is provided we won't create a new one.
with mock.patch.object(DataCatalogClient, "get_transport_class") as gtc:
transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
client = client_class(transport=transport)
gtc.assert_not_called()
# Check that if channel is provided via str we will create a new one.
with mock.patch.object(DataCatalogClient, "get_transport_class") as gtc:
client = client_class(transport=transport_name)
gtc.assert_called()
# Check the case api_endpoint is provided.
options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host="squid.clam.whelk",
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
# "never".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
# "always".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_MTLS_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
# unsupported value.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
with pytest.raises(MutualTLSChannelError):
client = client_class()
# Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
):
with pytest.raises(ValueError):
client = client_class()
# Check the case quota_project_id is provided
options = client_options.ClientOptions(quota_project_id="octopus")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id="octopus",
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name,use_client_cert_env",
[
(DataCatalogClient, transports.DataCatalogGrpcTransport, "grpc", "true"),
(
DataCatalogAsyncClient,
transports.DataCatalogGrpcAsyncIOTransport,
"grpc_asyncio",
"true",
),
(DataCatalogClient, transports.DataCatalogGrpcTransport, "grpc", "false"),
(
DataCatalogAsyncClient,
transports.DataCatalogGrpcAsyncIOTransport,
"grpc_asyncio",
"false",
),
],
)
@mock.patch.object(
DataCatalogClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DataCatalogClient)
)
@mock.patch.object(
DataCatalogAsyncClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataCatalogAsyncClient),
)
@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
def test_data_catalog_client_mtls_env_auto(
client_class, transport_class, transport_name, use_client_cert_env
):
# This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
# mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
# Check the case client_cert_source is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
options = client_options.ClientOptions(
client_cert_source=client_cert_source_callback
)
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
if use_client_cert_env == "false":
expected_client_cert_source = None
expected_host = client.DEFAULT_ENDPOINT
else:
expected_client_cert_source = client_cert_source_callback
expected_host = client.DEFAULT_MTLS_ENDPOINT
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=expected_host,
scopes=None,
client_cert_source_for_mtls=expected_client_cert_source,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case ADC client cert is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
with mock.patch.object(transport_class, "__init__") as patched:
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=True,
):
with mock.patch(
"google.auth.transport.mtls.default_client_cert_source",
return_value=client_cert_source_callback,
):
if use_client_cert_env == "false":
expected_host = client.DEFAULT_ENDPOINT
expected_client_cert_source = None
else:
expected_host = client.DEFAULT_MTLS_ENDPOINT
expected_client_cert_source = client_cert_source_callback
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=expected_host,
scopes=None,
client_cert_source_for_mtls=expected_client_cert_source,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case client_cert_source and ADC client cert are not provided.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
with mock.patch.object(transport_class, "__init__") as patched:
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=False,
):
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(DataCatalogClient, transports.DataCatalogGrpcTransport, "grpc"),
(
DataCatalogAsyncClient,
transports.DataCatalogGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
def test_data_catalog_client_client_options_scopes(
client_class, transport_class, transport_name
):
# Check the case scopes are provided.
options = client_options.ClientOptions(scopes=["1", "2"],)
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=["1", "2"],
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(DataCatalogClient, transports.DataCatalogGrpcTransport, "grpc"),
(
DataCatalogAsyncClient,
transports.DataCatalogGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
def test_data_catalog_client_client_options_credentials_file(
client_class, transport_class, transport_name
):
# Check the case credentials file is provided.
options = client_options.ClientOptions(credentials_file="credentials.json")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file="credentials.json",
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
def test_data_catalog_client_client_options_from_dict():
with mock.patch(
"google.cloud.datacatalog_v1beta1.services.data_catalog.transports.DataCatalogGrpcTransport.__init__"
) as grpc_transport:
grpc_transport.return_value = None
client = DataCatalogClient(client_options={"api_endpoint": "squid.clam.whelk"})
grpc_transport.assert_called_once_with(
credentials=None,
credentials_file=None,
host="squid.clam.whelk",
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
def test_search_catalog(
transport: str = "grpc", request_type=datacatalog.SearchCatalogRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.search_catalog), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.SearchCatalogResponse(
next_page_token="next_page_token_value",
)
response = client.search_catalog(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.SearchCatalogRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.SearchCatalogPager)
assert response.next_page_token == "next_page_token_value"
def test_search_catalog_from_dict():
test_search_catalog(request_type=dict)
def test_search_catalog_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.search_catalog), "__call__") as call:
client.search_catalog()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.SearchCatalogRequest()
@pytest.mark.asyncio
async def test_search_catalog_async(
transport: str = "grpc_asyncio", request_type=datacatalog.SearchCatalogRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.search_catalog), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.SearchCatalogResponse(next_page_token="next_page_token_value",)
)
response = await client.search_catalog(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.SearchCatalogRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.SearchCatalogAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_search_catalog_async_from_dict():
await test_search_catalog_async(request_type=dict)
def test_search_catalog_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.search_catalog), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.SearchCatalogResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.search_catalog(
scope=datacatalog.SearchCatalogRequest.Scope(
include_org_ids=["include_org_ids_value"]
),
query="query_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].scope == datacatalog.SearchCatalogRequest.Scope(
include_org_ids=["include_org_ids_value"]
)
assert args[0].query == "query_value"
def test_search_catalog_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.search_catalog(
datacatalog.SearchCatalogRequest(),
scope=datacatalog.SearchCatalogRequest.Scope(
include_org_ids=["include_org_ids_value"]
),
query="query_value",
)
@pytest.mark.asyncio
async def test_search_catalog_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.search_catalog), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.SearchCatalogResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.SearchCatalogResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.search_catalog(
scope=datacatalog.SearchCatalogRequest.Scope(
include_org_ids=["include_org_ids_value"]
),
query="query_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].scope == datacatalog.SearchCatalogRequest.Scope(
include_org_ids=["include_org_ids_value"]
)
assert args[0].query == "query_value"
@pytest.mark.asyncio
async def test_search_catalog_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.search_catalog(
datacatalog.SearchCatalogRequest(),
scope=datacatalog.SearchCatalogRequest.Scope(
include_org_ids=["include_org_ids_value"]
),
query="query_value",
)
def test_search_catalog_pager():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.search_catalog), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.SearchCatalogResponse(
results=[
search.SearchCatalogResult(),
search.SearchCatalogResult(),
search.SearchCatalogResult(),
],
next_page_token="abc",
),
datacatalog.SearchCatalogResponse(results=[], next_page_token="def",),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(),], next_page_token="ghi",
),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(), search.SearchCatalogResult(),],
),
RuntimeError,
)
metadata = ()
pager = client.search_catalog(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, search.SearchCatalogResult) for i in results)
def test_search_catalog_pages():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.search_catalog), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.SearchCatalogResponse(
results=[
search.SearchCatalogResult(),
search.SearchCatalogResult(),
search.SearchCatalogResult(),
],
next_page_token="abc",
),
datacatalog.SearchCatalogResponse(results=[], next_page_token="def",),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(),], next_page_token="ghi",
),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(), search.SearchCatalogResult(),],
),
RuntimeError,
)
pages = list(client.search_catalog(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_search_catalog_async_pager():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_catalog), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.SearchCatalogResponse(
results=[
search.SearchCatalogResult(),
search.SearchCatalogResult(),
search.SearchCatalogResult(),
],
next_page_token="abc",
),
datacatalog.SearchCatalogResponse(results=[], next_page_token="def",),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(),], next_page_token="ghi",
),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(), search.SearchCatalogResult(),],
),
RuntimeError,
)
async_pager = await client.search_catalog(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, search.SearchCatalogResult) for i in responses)
@pytest.mark.asyncio
async def test_search_catalog_async_pages():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_catalog), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.SearchCatalogResponse(
results=[
search.SearchCatalogResult(),
search.SearchCatalogResult(),
search.SearchCatalogResult(),
],
next_page_token="abc",
),
datacatalog.SearchCatalogResponse(results=[], next_page_token="def",),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(),], next_page_token="ghi",
),
datacatalog.SearchCatalogResponse(
results=[search.SearchCatalogResult(), search.SearchCatalogResult(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.search_catalog(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_entry_group(
transport: str = "grpc", request_type=datacatalog.CreateEntryGroupRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup(
name="name_value",
display_name="display_name_value",
description="description_value",
)
response = client.create_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateEntryGroupRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.EntryGroup)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
def test_create_entry_group_from_dict():
test_create_entry_group(request_type=dict)
def test_create_entry_group_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_entry_group), "__call__"
) as call:
client.create_entry_group()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateEntryGroupRequest()
@pytest.mark.asyncio
async def test_create_entry_group_async(
transport: str = "grpc_asyncio", request_type=datacatalog.CreateEntryGroupRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup(
name="name_value",
display_name="display_name_value",
description="description_value",
)
)
response = await client.create_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateEntryGroupRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.EntryGroup)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
@pytest.mark.asyncio
async def test_create_entry_group_async_from_dict():
await test_create_entry_group_async(request_type=dict)
def test_create_entry_group_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateEntryGroupRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_entry_group), "__call__"
) as call:
call.return_value = datacatalog.EntryGroup()
client.create_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_entry_group_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateEntryGroupRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_entry_group), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup()
)
await client.create_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_entry_group_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_entry_group(
parent="parent_value",
entry_group_id="entry_group_id_value",
entry_group=datacatalog.EntryGroup(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].entry_group_id == "entry_group_id_value"
assert args[0].entry_group == datacatalog.EntryGroup(name="name_value")
def test_create_entry_group_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_entry_group(
datacatalog.CreateEntryGroupRequest(),
parent="parent_value",
entry_group_id="entry_group_id_value",
entry_group=datacatalog.EntryGroup(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_entry_group_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_entry_group(
parent="parent_value",
entry_group_id="entry_group_id_value",
entry_group=datacatalog.EntryGroup(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].entry_group_id == "entry_group_id_value"
assert args[0].entry_group == datacatalog.EntryGroup(name="name_value")
@pytest.mark.asyncio
async def test_create_entry_group_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_entry_group(
datacatalog.CreateEntryGroupRequest(),
parent="parent_value",
entry_group_id="entry_group_id_value",
entry_group=datacatalog.EntryGroup(name="name_value"),
)
def test_update_entry_group(
transport: str = "grpc", request_type=datacatalog.UpdateEntryGroupRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup(
name="name_value",
display_name="display_name_value",
description="description_value",
)
response = client.update_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateEntryGroupRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.EntryGroup)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
def test_update_entry_group_from_dict():
test_update_entry_group(request_type=dict)
def test_update_entry_group_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_entry_group), "__call__"
) as call:
client.update_entry_group()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateEntryGroupRequest()
@pytest.mark.asyncio
async def test_update_entry_group_async(
transport: str = "grpc_asyncio", request_type=datacatalog.UpdateEntryGroupRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup(
name="name_value",
display_name="display_name_value",
description="description_value",
)
)
response = await client.update_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateEntryGroupRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.EntryGroup)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
@pytest.mark.asyncio
async def test_update_entry_group_async_from_dict():
await test_update_entry_group_async(request_type=dict)
def test_update_entry_group_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateEntryGroupRequest()
request.entry_group.name = "entry_group.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_entry_group), "__call__"
) as call:
call.return_value = datacatalog.EntryGroup()
client.update_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "entry_group.name=entry_group.name/value",) in kw[
"metadata"
]
@pytest.mark.asyncio
async def test_update_entry_group_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateEntryGroupRequest()
request.entry_group.name = "entry_group.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_entry_group), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup()
)
await client.update_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "entry_group.name=entry_group.name/value",) in kw[
"metadata"
]
def test_update_entry_group_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_entry_group(
entry_group=datacatalog.EntryGroup(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].entry_group == datacatalog.EntryGroup(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_entry_group_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_entry_group(
datacatalog.UpdateEntryGroupRequest(),
entry_group=datacatalog.EntryGroup(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_entry_group_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_entry_group(
entry_group=datacatalog.EntryGroup(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].entry_group == datacatalog.EntryGroup(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_entry_group_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_entry_group(
datacatalog.UpdateEntryGroupRequest(),
entry_group=datacatalog.EntryGroup(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_get_entry_group(
transport: str = "grpc", request_type=datacatalog.GetEntryGroupRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry_group), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup(
name="name_value",
display_name="display_name_value",
description="description_value",
)
response = client.get_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetEntryGroupRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.EntryGroup)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
def test_get_entry_group_from_dict():
test_get_entry_group(request_type=dict)
def test_get_entry_group_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry_group), "__call__") as call:
client.get_entry_group()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetEntryGroupRequest()
@pytest.mark.asyncio
async def test_get_entry_group_async(
transport: str = "grpc_asyncio", request_type=datacatalog.GetEntryGroupRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry_group), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup(
name="name_value",
display_name="display_name_value",
description="description_value",
)
)
response = await client.get_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetEntryGroupRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.EntryGroup)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
@pytest.mark.asyncio
async def test_get_entry_group_async_from_dict():
await test_get_entry_group_async(request_type=dict)
def test_get_entry_group_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.GetEntryGroupRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry_group), "__call__") as call:
call.return_value = datacatalog.EntryGroup()
client.get_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_entry_group_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.GetEntryGroupRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry_group), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup()
)
await client.get_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_entry_group_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry_group), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_entry_group(
name="name_value",
read_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].read_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_get_entry_group_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_entry_group(
datacatalog.GetEntryGroupRequest(),
name="name_value",
read_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_get_entry_group_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry_group), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.EntryGroup()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.EntryGroup()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_entry_group(
name="name_value",
read_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].read_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_get_entry_group_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_entry_group(
datacatalog.GetEntryGroupRequest(),
name="name_value",
read_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_delete_entry_group(
transport: str = "grpc", request_type=datacatalog.DeleteEntryGroupRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteEntryGroupRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_entry_group_from_dict():
test_delete_entry_group(request_type=dict)
def test_delete_entry_group_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_entry_group), "__call__"
) as call:
client.delete_entry_group()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteEntryGroupRequest()
@pytest.mark.asyncio
async def test_delete_entry_group_async(
transport: str = "grpc_asyncio", request_type=datacatalog.DeleteEntryGroupRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteEntryGroupRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_entry_group_async_from_dict():
await test_delete_entry_group_async(request_type=dict)
def test_delete_entry_group_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteEntryGroupRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_entry_group), "__call__"
) as call:
call.return_value = None
client.delete_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_entry_group_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteEntryGroupRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_entry_group), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_entry_group(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_entry_group_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_entry_group(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_entry_group_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_entry_group(
datacatalog.DeleteEntryGroupRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_entry_group_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_entry_group), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_entry_group(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_entry_group_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_entry_group(
datacatalog.DeleteEntryGroupRequest(), name="name_value",
)
def test_list_entry_groups(
transport: str = "grpc", request_type=datacatalog.ListEntryGroupsRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListEntryGroupsResponse(
next_page_token="next_page_token_value",
)
response = client.list_entry_groups(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListEntryGroupsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListEntryGroupsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_entry_groups_from_dict():
test_list_entry_groups(request_type=dict)
def test_list_entry_groups_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
client.list_entry_groups()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListEntryGroupsRequest()
@pytest.mark.asyncio
async def test_list_entry_groups_async(
transport: str = "grpc_asyncio", request_type=datacatalog.ListEntryGroupsRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListEntryGroupsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_entry_groups(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListEntryGroupsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListEntryGroupsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_entry_groups_async_from_dict():
await test_list_entry_groups_async(request_type=dict)
def test_list_entry_groups_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.ListEntryGroupsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
call.return_value = datacatalog.ListEntryGroupsResponse()
client.list_entry_groups(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_entry_groups_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.ListEntryGroupsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListEntryGroupsResponse()
)
await client.list_entry_groups(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_entry_groups_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListEntryGroupsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_entry_groups(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_entry_groups_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_entry_groups(
datacatalog.ListEntryGroupsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_entry_groups_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListEntryGroupsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListEntryGroupsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_entry_groups(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_entry_groups_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_entry_groups(
datacatalog.ListEntryGroupsRequest(), parent="parent_value",
)
def test_list_entry_groups_pager():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntryGroupsResponse(
entry_groups=[
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
],
next_page_token="abc",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[], next_page_token="def",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(),], next_page_token="ghi",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(), datacatalog.EntryGroup(),],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_entry_groups(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, datacatalog.EntryGroup) for i in results)
def test_list_entry_groups_pages():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntryGroupsResponse(
entry_groups=[
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
],
next_page_token="abc",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[], next_page_token="def",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(),], next_page_token="ghi",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(), datacatalog.EntryGroup(),],
),
RuntimeError,
)
pages = list(client.list_entry_groups(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_entry_groups_async_pager():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntryGroupsResponse(
entry_groups=[
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
],
next_page_token="abc",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[], next_page_token="def",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(),], next_page_token="ghi",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(), datacatalog.EntryGroup(),],
),
RuntimeError,
)
async_pager = await client.list_entry_groups(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, datacatalog.EntryGroup) for i in responses)
@pytest.mark.asyncio
async def test_list_entry_groups_async_pages():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entry_groups),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntryGroupsResponse(
entry_groups=[
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
datacatalog.EntryGroup(),
],
next_page_token="abc",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[], next_page_token="def",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(),], next_page_token="ghi",
),
datacatalog.ListEntryGroupsResponse(
entry_groups=[datacatalog.EntryGroup(), datacatalog.EntryGroup(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_entry_groups(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_entry(
transport: str = "grpc", request_type=datacatalog.CreateEntryRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
type_=datacatalog.EntryType.TABLE,
integrated_system=common.IntegratedSystem.BIGQUERY,
gcs_fileset_spec=gcs_fileset_spec.GcsFilesetSpec(
file_patterns=["file_patterns_value"]
),
)
response = client.create_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
def test_create_entry_from_dict():
test_create_entry(request_type=dict)
def test_create_entry_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_entry), "__call__") as call:
client.create_entry()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateEntryRequest()
@pytest.mark.asyncio
async def test_create_entry_async(
transport: str = "grpc_asyncio", request_type=datacatalog.CreateEntryRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
)
)
response = await client.create_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
@pytest.mark.asyncio
async def test_create_entry_async_from_dict():
await test_create_entry_async(request_type=dict)
def test_create_entry_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateEntryRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_entry), "__call__") as call:
call.return_value = datacatalog.Entry()
client.create_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_entry_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateEntryRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_entry), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datacatalog.Entry())
await client.create_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_entry_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_entry(
parent="parent_value",
entry_id="entry_id_value",
entry=datacatalog.Entry(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].entry_id == "entry_id_value"
assert args[0].entry == datacatalog.Entry(name="name_value")
def test_create_entry_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_entry(
datacatalog.CreateEntryRequest(),
parent="parent_value",
entry_id="entry_id_value",
entry=datacatalog.Entry(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_entry_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datacatalog.Entry())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_entry(
parent="parent_value",
entry_id="entry_id_value",
entry=datacatalog.Entry(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].entry_id == "entry_id_value"
assert args[0].entry == datacatalog.Entry(name="name_value")
@pytest.mark.asyncio
async def test_create_entry_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_entry(
datacatalog.CreateEntryRequest(),
parent="parent_value",
entry_id="entry_id_value",
entry=datacatalog.Entry(name="name_value"),
)
def test_update_entry(
transport: str = "grpc", request_type=datacatalog.UpdateEntryRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
type_=datacatalog.EntryType.TABLE,
integrated_system=common.IntegratedSystem.BIGQUERY,
gcs_fileset_spec=gcs_fileset_spec.GcsFilesetSpec(
file_patterns=["file_patterns_value"]
),
)
response = client.update_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
def test_update_entry_from_dict():
test_update_entry(request_type=dict)
def test_update_entry_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_entry), "__call__") as call:
client.update_entry()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateEntryRequest()
@pytest.mark.asyncio
async def test_update_entry_async(
transport: str = "grpc_asyncio", request_type=datacatalog.UpdateEntryRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
)
)
response = await client.update_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
@pytest.mark.asyncio
async def test_update_entry_async_from_dict():
await test_update_entry_async(request_type=dict)
def test_update_entry_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateEntryRequest()
request.entry.name = "entry.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_entry), "__call__") as call:
call.return_value = datacatalog.Entry()
client.update_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "entry.name=entry.name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_entry_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateEntryRequest()
request.entry.name = "entry.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_entry), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datacatalog.Entry())
await client.update_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "entry.name=entry.name/value",) in kw["metadata"]
def test_update_entry_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_entry(
entry=datacatalog.Entry(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].entry == datacatalog.Entry(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_entry_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_entry(
datacatalog.UpdateEntryRequest(),
entry=datacatalog.Entry(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_entry_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datacatalog.Entry())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_entry(
entry=datacatalog.Entry(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].entry == datacatalog.Entry(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_entry_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_entry(
datacatalog.UpdateEntryRequest(),
entry=datacatalog.Entry(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_delete_entry(
transport: str = "grpc", request_type=datacatalog.DeleteEntryRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteEntryRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_entry_from_dict():
test_delete_entry(request_type=dict)
def test_delete_entry_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_entry), "__call__") as call:
client.delete_entry()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteEntryRequest()
@pytest.mark.asyncio
async def test_delete_entry_async(
transport: str = "grpc_asyncio", request_type=datacatalog.DeleteEntryRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteEntryRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_entry_async_from_dict():
await test_delete_entry_async(request_type=dict)
def test_delete_entry_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteEntryRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_entry), "__call__") as call:
call.return_value = None
client.delete_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_entry_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteEntryRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_entry), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_entry_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_entry(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_entry_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_entry(
datacatalog.DeleteEntryRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_entry_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_entry(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_entry_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_entry(
datacatalog.DeleteEntryRequest(), name="name_value",
)
def test_get_entry(transport: str = "grpc", request_type=datacatalog.GetEntryRequest):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
type_=datacatalog.EntryType.TABLE,
integrated_system=common.IntegratedSystem.BIGQUERY,
gcs_fileset_spec=gcs_fileset_spec.GcsFilesetSpec(
file_patterns=["file_patterns_value"]
),
)
response = client.get_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
def test_get_entry_from_dict():
test_get_entry(request_type=dict)
def test_get_entry_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry), "__call__") as call:
client.get_entry()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetEntryRequest()
@pytest.mark.asyncio
async def test_get_entry_async(
transport: str = "grpc_asyncio", request_type=datacatalog.GetEntryRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
)
)
response = await client.get_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
@pytest.mark.asyncio
async def test_get_entry_async_from_dict():
await test_get_entry_async(request_type=dict)
def test_get_entry_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.GetEntryRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry), "__call__") as call:
call.return_value = datacatalog.Entry()
client.get_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_entry_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.GetEntryRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datacatalog.Entry())
await client.get_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_entry_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_entry(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_entry_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_entry(
datacatalog.GetEntryRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_entry_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(datacatalog.Entry())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_entry(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_entry_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_entry(
datacatalog.GetEntryRequest(), name="name_value",
)
def test_lookup_entry(
transport: str = "grpc", request_type=datacatalog.LookupEntryRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.lookup_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
type_=datacatalog.EntryType.TABLE,
integrated_system=common.IntegratedSystem.BIGQUERY,
gcs_fileset_spec=gcs_fileset_spec.GcsFilesetSpec(
file_patterns=["file_patterns_value"]
),
)
response = client.lookup_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.LookupEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
def test_lookup_entry_from_dict():
test_lookup_entry(request_type=dict)
def test_lookup_entry_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.lookup_entry), "__call__") as call:
client.lookup_entry()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.LookupEntryRequest()
@pytest.mark.asyncio
async def test_lookup_entry_async(
transport: str = "grpc_asyncio", request_type=datacatalog.LookupEntryRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.lookup_entry), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.Entry(
name="name_value",
linked_resource="linked_resource_value",
display_name="display_name_value",
description="description_value",
)
)
response = await client.lookup_entry(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.LookupEntryRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, datacatalog.Entry)
assert response.name == "name_value"
assert response.linked_resource == "linked_resource_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
@pytest.mark.asyncio
async def test_lookup_entry_async_from_dict():
await test_lookup_entry_async(request_type=dict)
def test_list_entries(
transport: str = "grpc", request_type=datacatalog.ListEntriesRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListEntriesResponse(
next_page_token="next_page_token_value",
)
response = client.list_entries(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListEntriesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListEntriesPager)
assert response.next_page_token == "next_page_token_value"
def test_list_entries_from_dict():
test_list_entries(request_type=dict)
def test_list_entries_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
client.list_entries()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListEntriesRequest()
@pytest.mark.asyncio
async def test_list_entries_async(
transport: str = "grpc_asyncio", request_type=datacatalog.ListEntriesRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListEntriesResponse(next_page_token="next_page_token_value",)
)
response = await client.list_entries(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListEntriesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListEntriesAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_entries_async_from_dict():
await test_list_entries_async(request_type=dict)
def test_list_entries_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.ListEntriesRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
call.return_value = datacatalog.ListEntriesResponse()
client.list_entries(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_entries_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.ListEntriesRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListEntriesResponse()
)
await client.list_entries(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_entries_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListEntriesResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_entries(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_entries_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_entries(
datacatalog.ListEntriesRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_entries_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListEntriesResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListEntriesResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_entries(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_entries_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_entries(
datacatalog.ListEntriesRequest(), parent="parent_value",
)
def test_list_entries_pager():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntriesResponse(
entries=[
datacatalog.Entry(),
datacatalog.Entry(),
datacatalog.Entry(),
],
next_page_token="abc",
),
datacatalog.ListEntriesResponse(entries=[], next_page_token="def",),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(),], next_page_token="ghi",
),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(), datacatalog.Entry(),],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_entries(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, datacatalog.Entry) for i in results)
def test_list_entries_pages():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_entries), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntriesResponse(
entries=[
datacatalog.Entry(),
datacatalog.Entry(),
datacatalog.Entry(),
],
next_page_token="abc",
),
datacatalog.ListEntriesResponse(entries=[], next_page_token="def",),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(),], next_page_token="ghi",
),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(), datacatalog.Entry(),],
),
RuntimeError,
)
pages = list(client.list_entries(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_entries_async_pager():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entries), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntriesResponse(
entries=[
datacatalog.Entry(),
datacatalog.Entry(),
datacatalog.Entry(),
],
next_page_token="abc",
),
datacatalog.ListEntriesResponse(entries=[], next_page_token="def",),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(),], next_page_token="ghi",
),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(), datacatalog.Entry(),],
),
RuntimeError,
)
async_pager = await client.list_entries(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, datacatalog.Entry) for i in responses)
@pytest.mark.asyncio
async def test_list_entries_async_pages():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_entries), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListEntriesResponse(
entries=[
datacatalog.Entry(),
datacatalog.Entry(),
datacatalog.Entry(),
],
next_page_token="abc",
),
datacatalog.ListEntriesResponse(entries=[], next_page_token="def",),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(),], next_page_token="ghi",
),
datacatalog.ListEntriesResponse(
entries=[datacatalog.Entry(), datacatalog.Entry(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_entries(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_tag_template(
transport: str = "grpc", request_type=datacatalog.CreateTagTemplateRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate(
name="name_value", display_name="display_name_value",
)
response = client.create_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagTemplateRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplate)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
def test_create_tag_template_from_dict():
test_create_tag_template(request_type=dict)
def test_create_tag_template_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template), "__call__"
) as call:
client.create_tag_template()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagTemplateRequest()
@pytest.mark.asyncio
async def test_create_tag_template_async(
transport: str = "grpc_asyncio", request_type=datacatalog.CreateTagTemplateRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplate(name="name_value", display_name="display_name_value",)
)
response = await client.create_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagTemplateRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplate)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_create_tag_template_async_from_dict():
await test_create_tag_template_async(request_type=dict)
def test_create_tag_template_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateTagTemplateRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template), "__call__"
) as call:
call.return_value = tags.TagTemplate()
client.create_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_tag_template_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateTagTemplateRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.TagTemplate())
await client.create_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_tag_template_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_tag_template(
parent="parent_value",
tag_template_id="tag_template_id_value",
tag_template=tags.TagTemplate(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].tag_template_id == "tag_template_id_value"
assert args[0].tag_template == tags.TagTemplate(name="name_value")
def test_create_tag_template_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_tag_template(
datacatalog.CreateTagTemplateRequest(),
parent="parent_value",
tag_template_id="tag_template_id_value",
tag_template=tags.TagTemplate(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_tag_template_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.TagTemplate())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_tag_template(
parent="parent_value",
tag_template_id="tag_template_id_value",
tag_template=tags.TagTemplate(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].tag_template_id == "tag_template_id_value"
assert args[0].tag_template == tags.TagTemplate(name="name_value")
@pytest.mark.asyncio
async def test_create_tag_template_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_tag_template(
datacatalog.CreateTagTemplateRequest(),
parent="parent_value",
tag_template_id="tag_template_id_value",
tag_template=tags.TagTemplate(name="name_value"),
)
def test_get_tag_template(
transport: str = "grpc", request_type=datacatalog.GetTagTemplateRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_tag_template), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate(
name="name_value", display_name="display_name_value",
)
response = client.get_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetTagTemplateRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplate)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
def test_get_tag_template_from_dict():
test_get_tag_template(request_type=dict)
def test_get_tag_template_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_tag_template), "__call__") as call:
client.get_tag_template()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetTagTemplateRequest()
@pytest.mark.asyncio
async def test_get_tag_template_async(
transport: str = "grpc_asyncio", request_type=datacatalog.GetTagTemplateRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_tag_template), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplate(name="name_value", display_name="display_name_value",)
)
response = await client.get_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.GetTagTemplateRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplate)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_get_tag_template_async_from_dict():
await test_get_tag_template_async(request_type=dict)
def test_get_tag_template_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.GetTagTemplateRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_tag_template), "__call__") as call:
call.return_value = tags.TagTemplate()
client.get_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_tag_template_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.GetTagTemplateRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_tag_template), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.TagTemplate())
await client.get_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_tag_template_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_tag_template), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_tag_template(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_tag_template_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_tag_template(
datacatalog.GetTagTemplateRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_tag_template_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_tag_template), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.TagTemplate())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_tag_template(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_tag_template_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_tag_template(
datacatalog.GetTagTemplateRequest(), name="name_value",
)
def test_update_tag_template(
transport: str = "grpc", request_type=datacatalog.UpdateTagTemplateRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate(
name="name_value", display_name="display_name_value",
)
response = client.update_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagTemplateRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplate)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
def test_update_tag_template_from_dict():
test_update_tag_template(request_type=dict)
def test_update_tag_template_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template), "__call__"
) as call:
client.update_tag_template()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagTemplateRequest()
@pytest.mark.asyncio
async def test_update_tag_template_async(
transport: str = "grpc_asyncio", request_type=datacatalog.UpdateTagTemplateRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplate(name="name_value", display_name="display_name_value",)
)
response = await client.update_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagTemplateRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplate)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_update_tag_template_async_from_dict():
await test_update_tag_template_async(request_type=dict)
def test_update_tag_template_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateTagTemplateRequest()
request.tag_template.name = "tag_template.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template), "__call__"
) as call:
call.return_value = tags.TagTemplate()
client.update_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"tag_template.name=tag_template.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_tag_template_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateTagTemplateRequest()
request.tag_template.name = "tag_template.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.TagTemplate())
await client.update_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"tag_template.name=tag_template.name/value",
) in kw["metadata"]
def test_update_tag_template_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_tag_template(
tag_template=tags.TagTemplate(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].tag_template == tags.TagTemplate(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_tag_template_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_tag_template(
datacatalog.UpdateTagTemplateRequest(),
tag_template=tags.TagTemplate(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_tag_template_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplate()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.TagTemplate())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_tag_template(
tag_template=tags.TagTemplate(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].tag_template == tags.TagTemplate(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_tag_template_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_tag_template(
datacatalog.UpdateTagTemplateRequest(),
tag_template=tags.TagTemplate(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_delete_tag_template(
transport: str = "grpc", request_type=datacatalog.DeleteTagTemplateRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagTemplateRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_tag_template_from_dict():
test_delete_tag_template(request_type=dict)
def test_delete_tag_template_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template), "__call__"
) as call:
client.delete_tag_template()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagTemplateRequest()
@pytest.mark.asyncio
async def test_delete_tag_template_async(
transport: str = "grpc_asyncio", request_type=datacatalog.DeleteTagTemplateRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagTemplateRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_tag_template_async_from_dict():
await test_delete_tag_template_async(request_type=dict)
def test_delete_tag_template_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteTagTemplateRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template), "__call__"
) as call:
call.return_value = None
client.delete_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_tag_template_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteTagTemplateRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_tag_template(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_tag_template_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_tag_template(
name="name_value", force=True,
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].force == True
def test_delete_tag_template_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_tag_template(
datacatalog.DeleteTagTemplateRequest(), name="name_value", force=True,
)
@pytest.mark.asyncio
async def test_delete_tag_template_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_tag_template(name="name_value", force=True,)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].force == True
@pytest.mark.asyncio
async def test_delete_tag_template_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_tag_template(
datacatalog.DeleteTagTemplateRequest(), name="name_value", force=True,
)
def test_create_tag_template_field(
transport: str = "grpc", request_type=datacatalog.CreateTagTemplateFieldRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField(
name="name_value",
display_name="display_name_value",
is_required=True,
order=540,
)
response = client.create_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplateField)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.is_required is True
assert response.order == 540
def test_create_tag_template_field_from_dict():
test_create_tag_template_field(request_type=dict)
def test_create_tag_template_field_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template_field), "__call__"
) as call:
client.create_tag_template_field()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagTemplateFieldRequest()
@pytest.mark.asyncio
async def test_create_tag_template_field_async(
transport: str = "grpc_asyncio",
request_type=datacatalog.CreateTagTemplateFieldRequest,
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField(
name="name_value",
display_name="display_name_value",
is_required=True,
order=540,
)
)
response = await client.create_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplateField)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.is_required is True
assert response.order == 540
@pytest.mark.asyncio
async def test_create_tag_template_field_async_from_dict():
await test_create_tag_template_field_async(request_type=dict)
def test_create_tag_template_field_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateTagTemplateFieldRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template_field), "__call__"
) as call:
call.return_value = tags.TagTemplateField()
client.create_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_tag_template_field_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateTagTemplateFieldRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template_field), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField()
)
await client.create_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_tag_template_field_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_tag_template_field(
parent="parent_value",
tag_template_field_id="tag_template_field_id_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].tag_template_field_id == "tag_template_field_id_value"
assert args[0].tag_template_field == tags.TagTemplateField(name="name_value")
def test_create_tag_template_field_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_tag_template_field(
datacatalog.CreateTagTemplateFieldRequest(),
parent="parent_value",
tag_template_field_id="tag_template_field_id_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_tag_template_field_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_tag_template_field(
parent="parent_value",
tag_template_field_id="tag_template_field_id_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].tag_template_field_id == "tag_template_field_id_value"
assert args[0].tag_template_field == tags.TagTemplateField(name="name_value")
@pytest.mark.asyncio
async def test_create_tag_template_field_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_tag_template_field(
datacatalog.CreateTagTemplateFieldRequest(),
parent="parent_value",
tag_template_field_id="tag_template_field_id_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
)
def test_update_tag_template_field(
transport: str = "grpc", request_type=datacatalog.UpdateTagTemplateFieldRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField(
name="name_value",
display_name="display_name_value",
is_required=True,
order=540,
)
response = client.update_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplateField)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.is_required is True
assert response.order == 540
def test_update_tag_template_field_from_dict():
test_update_tag_template_field(request_type=dict)
def test_update_tag_template_field_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template_field), "__call__"
) as call:
client.update_tag_template_field()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagTemplateFieldRequest()
@pytest.mark.asyncio
async def test_update_tag_template_field_async(
transport: str = "grpc_asyncio",
request_type=datacatalog.UpdateTagTemplateFieldRequest,
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField(
name="name_value",
display_name="display_name_value",
is_required=True,
order=540,
)
)
response = await client.update_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplateField)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.is_required is True
assert response.order == 540
@pytest.mark.asyncio
async def test_update_tag_template_field_async_from_dict():
await test_update_tag_template_field_async(request_type=dict)
def test_update_tag_template_field_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateTagTemplateFieldRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template_field), "__call__"
) as call:
call.return_value = tags.TagTemplateField()
client.update_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_tag_template_field_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateTagTemplateFieldRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template_field), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField()
)
await client.update_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_update_tag_template_field_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_tag_template_field(
name="name_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].tag_template_field == tags.TagTemplateField(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_tag_template_field_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_tag_template_field(
datacatalog.UpdateTagTemplateFieldRequest(),
name="name_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_tag_template_field_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_tag_template_field(
name="name_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].tag_template_field == tags.TagTemplateField(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_tag_template_field_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_tag_template_field(
datacatalog.UpdateTagTemplateFieldRequest(),
name="name_value",
tag_template_field=tags.TagTemplateField(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_rename_tag_template_field(
transport: str = "grpc", request_type=datacatalog.RenameTagTemplateFieldRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.rename_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField(
name="name_value",
display_name="display_name_value",
is_required=True,
order=540,
)
response = client.rename_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.RenameTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplateField)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.is_required is True
assert response.order == 540
def test_rename_tag_template_field_from_dict():
test_rename_tag_template_field(request_type=dict)
def test_rename_tag_template_field_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.rename_tag_template_field), "__call__"
) as call:
client.rename_tag_template_field()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.RenameTagTemplateFieldRequest()
@pytest.mark.asyncio
async def test_rename_tag_template_field_async(
transport: str = "grpc_asyncio",
request_type=datacatalog.RenameTagTemplateFieldRequest,
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.rename_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField(
name="name_value",
display_name="display_name_value",
is_required=True,
order=540,
)
)
response = await client.rename_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.RenameTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.TagTemplateField)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.is_required is True
assert response.order == 540
@pytest.mark.asyncio
async def test_rename_tag_template_field_async_from_dict():
await test_rename_tag_template_field_async(request_type=dict)
def test_rename_tag_template_field_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.RenameTagTemplateFieldRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.rename_tag_template_field), "__call__"
) as call:
call.return_value = tags.TagTemplateField()
client.rename_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_rename_tag_template_field_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.RenameTagTemplateFieldRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.rename_tag_template_field), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField()
)
await client.rename_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_rename_tag_template_field_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.rename_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.rename_tag_template_field(
name="name_value",
new_tag_template_field_id="new_tag_template_field_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].new_tag_template_field_id == "new_tag_template_field_id_value"
def test_rename_tag_template_field_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.rename_tag_template_field(
datacatalog.RenameTagTemplateFieldRequest(),
name="name_value",
new_tag_template_field_id="new_tag_template_field_id_value",
)
@pytest.mark.asyncio
async def test_rename_tag_template_field_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.rename_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = tags.TagTemplateField()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.TagTemplateField()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.rename_tag_template_field(
name="name_value",
new_tag_template_field_id="new_tag_template_field_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].new_tag_template_field_id == "new_tag_template_field_id_value"
@pytest.mark.asyncio
async def test_rename_tag_template_field_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.rename_tag_template_field(
datacatalog.RenameTagTemplateFieldRequest(),
name="name_value",
new_tag_template_field_id="new_tag_template_field_id_value",
)
def test_delete_tag_template_field(
transport: str = "grpc", request_type=datacatalog.DeleteTagTemplateFieldRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_tag_template_field_from_dict():
test_delete_tag_template_field(request_type=dict)
def test_delete_tag_template_field_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template_field), "__call__"
) as call:
client.delete_tag_template_field()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagTemplateFieldRequest()
@pytest.mark.asyncio
async def test_delete_tag_template_field_async(
transport: str = "grpc_asyncio",
request_type=datacatalog.DeleteTagTemplateFieldRequest,
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagTemplateFieldRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_tag_template_field_async_from_dict():
await test_delete_tag_template_field_async(request_type=dict)
def test_delete_tag_template_field_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteTagTemplateFieldRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template_field), "__call__"
) as call:
call.return_value = None
client.delete_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_tag_template_field_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteTagTemplateFieldRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template_field), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_tag_template_field(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_tag_template_field_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_tag_template_field(
name="name_value", force=True,
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].force == True
def test_delete_tag_template_field_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_tag_template_field(
datacatalog.DeleteTagTemplateFieldRequest(), name="name_value", force=True,
)
@pytest.mark.asyncio
async def test_delete_tag_template_field_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_tag_template_field), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_tag_template_field(
name="name_value", force=True,
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
assert args[0].force == True
@pytest.mark.asyncio
async def test_delete_tag_template_field_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_tag_template_field(
datacatalog.DeleteTagTemplateFieldRequest(), name="name_value", force=True,
)
def test_create_tag(transport: str = "grpc", request_type=datacatalog.CreateTagRequest):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.Tag(
name="name_value",
template="template_value",
template_display_name="template_display_name_value",
column="column_value",
)
response = client.create_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.Tag)
assert response.name == "name_value"
assert response.template == "template_value"
assert response.template_display_name == "template_display_name_value"
def test_create_tag_from_dict():
test_create_tag(request_type=dict)
def test_create_tag_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_tag), "__call__") as call:
client.create_tag()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagRequest()
@pytest.mark.asyncio
async def test_create_tag_async(
transport: str = "grpc_asyncio", request_type=datacatalog.CreateTagRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.Tag(
name="name_value",
template="template_value",
template_display_name="template_display_name_value",
)
)
response = await client.create_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.CreateTagRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.Tag)
assert response.name == "name_value"
assert response.template == "template_value"
assert response.template_display_name == "template_display_name_value"
@pytest.mark.asyncio
async def test_create_tag_async_from_dict():
await test_create_tag_async(request_type=dict)
def test_create_tag_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateTagRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_tag), "__call__") as call:
call.return_value = tags.Tag()
client.create_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_tag_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.CreateTagRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_tag), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.Tag())
await client.create_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_tag_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.Tag()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_tag(
parent="parent_value", tag=tags.Tag(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].tag == tags.Tag(name="name_value")
def test_create_tag_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_tag(
datacatalog.CreateTagRequest(),
parent="parent_value",
tag=tags.Tag(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_tag_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.Tag()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.Tag())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_tag(
parent="parent_value", tag=tags.Tag(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].tag == tags.Tag(name="name_value")
@pytest.mark.asyncio
async def test_create_tag_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_tag(
datacatalog.CreateTagRequest(),
parent="parent_value",
tag=tags.Tag(name="name_value"),
)
def test_update_tag(transport: str = "grpc", request_type=datacatalog.UpdateTagRequest):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.Tag(
name="name_value",
template="template_value",
template_display_name="template_display_name_value",
column="column_value",
)
response = client.update_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.Tag)
assert response.name == "name_value"
assert response.template == "template_value"
assert response.template_display_name == "template_display_name_value"
def test_update_tag_from_dict():
test_update_tag(request_type=dict)
def test_update_tag_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_tag), "__call__") as call:
client.update_tag()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagRequest()
@pytest.mark.asyncio
async def test_update_tag_async(
transport: str = "grpc_asyncio", request_type=datacatalog.UpdateTagRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tags.Tag(
name="name_value",
template="template_value",
template_display_name="template_display_name_value",
)
)
response = await client.update_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.UpdateTagRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tags.Tag)
assert response.name == "name_value"
assert response.template == "template_value"
assert response.template_display_name == "template_display_name_value"
@pytest.mark.asyncio
async def test_update_tag_async_from_dict():
await test_update_tag_async(request_type=dict)
def test_update_tag_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateTagRequest()
request.tag.name = "tag.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_tag), "__call__") as call:
call.return_value = tags.Tag()
client.update_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "tag.name=tag.name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_tag_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.UpdateTagRequest()
request.tag.name = "tag.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_tag), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.Tag())
await client.update_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "tag.name=tag.name/value",) in kw["metadata"]
def test_update_tag_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.Tag()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_tag(
tag=tags.Tag(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].tag == tags.Tag(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_tag_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_tag(
datacatalog.UpdateTagRequest(),
tag=tags.Tag(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_tag_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tags.Tag()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tags.Tag())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_tag(
tag=tags.Tag(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].tag == tags.Tag(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_tag_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_tag(
datacatalog.UpdateTagRequest(),
tag=tags.Tag(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_delete_tag(transport: str = "grpc", request_type=datacatalog.DeleteTagRequest):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_tag_from_dict():
test_delete_tag(request_type=dict)
def test_delete_tag_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_tag), "__call__") as call:
client.delete_tag()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagRequest()
@pytest.mark.asyncio
async def test_delete_tag_async(
transport: str = "grpc_asyncio", request_type=datacatalog.DeleteTagRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.DeleteTagRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_tag_async_from_dict():
await test_delete_tag_async(request_type=dict)
def test_delete_tag_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteTagRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_tag), "__call__") as call:
call.return_value = None
client.delete_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_tag_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.DeleteTagRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_tag), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_tag_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_tag(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_tag_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_tag(
datacatalog.DeleteTagRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_tag_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_tag), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_tag(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_tag_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_tag(
datacatalog.DeleteTagRequest(), name="name_value",
)
def test_list_tags(transport: str = "grpc", request_type=datacatalog.ListTagsRequest):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListTagsResponse(
next_page_token="next_page_token_value",
)
response = client.list_tags(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListTagsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListTagsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_tags_from_dict():
test_list_tags(request_type=dict)
def test_list_tags_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
client.list_tags()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListTagsRequest()
@pytest.mark.asyncio
async def test_list_tags_async(
transport: str = "grpc_asyncio", request_type=datacatalog.ListTagsRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListTagsResponse(next_page_token="next_page_token_value",)
)
response = await client.list_tags(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == datacatalog.ListTagsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListTagsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_tags_async_from_dict():
await test_list_tags_async(request_type=dict)
def test_list_tags_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.ListTagsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
call.return_value = datacatalog.ListTagsResponse()
client.list_tags(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_tags_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = datacatalog.ListTagsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListTagsResponse()
)
await client.list_tags(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_tags_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListTagsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_tags(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_tags_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_tags(
datacatalog.ListTagsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_tags_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = datacatalog.ListTagsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
datacatalog.ListTagsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_tags(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_tags_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_tags(
datacatalog.ListTagsRequest(), parent="parent_value",
)
def test_list_tags_pager():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListTagsResponse(
tags=[tags.Tag(), tags.Tag(), tags.Tag(),], next_page_token="abc",
),
datacatalog.ListTagsResponse(tags=[], next_page_token="def",),
datacatalog.ListTagsResponse(tags=[tags.Tag(),], next_page_token="ghi",),
datacatalog.ListTagsResponse(tags=[tags.Tag(), tags.Tag(),],),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_tags(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, tags.Tag) for i in results)
def test_list_tags_pages():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tags), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListTagsResponse(
tags=[tags.Tag(), tags.Tag(), tags.Tag(),], next_page_token="abc",
),
datacatalog.ListTagsResponse(tags=[], next_page_token="def",),
datacatalog.ListTagsResponse(tags=[tags.Tag(),], next_page_token="ghi",),
datacatalog.ListTagsResponse(tags=[tags.Tag(), tags.Tag(),],),
RuntimeError,
)
pages = list(client.list_tags(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_tags_async_pager():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_tags), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListTagsResponse(
tags=[tags.Tag(), tags.Tag(), tags.Tag(),], next_page_token="abc",
),
datacatalog.ListTagsResponse(tags=[], next_page_token="def",),
datacatalog.ListTagsResponse(tags=[tags.Tag(),], next_page_token="ghi",),
datacatalog.ListTagsResponse(tags=[tags.Tag(), tags.Tag(),],),
RuntimeError,
)
async_pager = await client.list_tags(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, tags.Tag) for i in responses)
@pytest.mark.asyncio
async def test_list_tags_async_pages():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials,)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_tags), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
datacatalog.ListTagsResponse(
tags=[tags.Tag(), tags.Tag(), tags.Tag(),], next_page_token="abc",
),
datacatalog.ListTagsResponse(tags=[], next_page_token="def",),
datacatalog.ListTagsResponse(tags=[tags.Tag(),], next_page_token="ghi",),
datacatalog.ListTagsResponse(tags=[tags.Tag(), tags.Tag(),],),
RuntimeError,
)
pages = []
async for page_ in (await client.list_tags(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_set_iam_policy(
transport: str = "grpc", request_type=iam_policy_pb2.SetIamPolicyRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy(version=774, etag=b"etag_blob",)
response = client.set_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.SetIamPolicyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, policy_pb2.Policy)
assert response.version == 774
assert response.etag == b"etag_blob"
def test_set_iam_policy_from_dict():
test_set_iam_policy(request_type=dict)
def test_set_iam_policy_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
client.set_iam_policy()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.SetIamPolicyRequest()
@pytest.mark.asyncio
async def test_set_iam_policy_async(
transport: str = "grpc_asyncio", request_type=iam_policy_pb2.SetIamPolicyRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
policy_pb2.Policy(version=774, etag=b"etag_blob",)
)
response = await client.set_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.SetIamPolicyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, policy_pb2.Policy)
assert response.version == 774
assert response.etag == b"etag_blob"
@pytest.mark.asyncio
async def test_set_iam_policy_async_from_dict():
await test_set_iam_policy_async(request_type=dict)
def test_set_iam_policy_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = iam_policy_pb2.SetIamPolicyRequest()
request.resource = "resource/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
call.return_value = policy_pb2.Policy()
client.set_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "resource=resource/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_set_iam_policy_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = iam_policy_pb2.SetIamPolicyRequest()
request.resource = "resource/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
await client.set_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "resource=resource/value",) in kw["metadata"]
def test_set_iam_policy_from_dict_foreign():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy()
response = client.set_iam_policy(
request={
"resource": "resource_value",
"policy": policy_pb2.Policy(version=774),
}
)
call.assert_called()
def test_set_iam_policy_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.set_iam_policy(resource="resource_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].resource == "resource_value"
def test_set_iam_policy_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.set_iam_policy(
iam_policy_pb2.SetIamPolicyRequest(), resource="resource_value",
)
@pytest.mark.asyncio
async def test_set_iam_policy_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.set_iam_policy(resource="resource_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].resource == "resource_value"
@pytest.mark.asyncio
async def test_set_iam_policy_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.set_iam_policy(
iam_policy_pb2.SetIamPolicyRequest(), resource="resource_value",
)
def test_get_iam_policy(
transport: str = "grpc", request_type=iam_policy_pb2.GetIamPolicyRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy(version=774, etag=b"etag_blob",)
response = client.get_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.GetIamPolicyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, policy_pb2.Policy)
assert response.version == 774
assert response.etag == b"etag_blob"
def test_get_iam_policy_from_dict():
test_get_iam_policy(request_type=dict)
def test_get_iam_policy_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
client.get_iam_policy()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.GetIamPolicyRequest()
@pytest.mark.asyncio
async def test_get_iam_policy_async(
transport: str = "grpc_asyncio", request_type=iam_policy_pb2.GetIamPolicyRequest
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
policy_pb2.Policy(version=774, etag=b"etag_blob",)
)
response = await client.get_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.GetIamPolicyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, policy_pb2.Policy)
assert response.version == 774
assert response.etag == b"etag_blob"
@pytest.mark.asyncio
async def test_get_iam_policy_async_from_dict():
await test_get_iam_policy_async(request_type=dict)
def test_get_iam_policy_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = iam_policy_pb2.GetIamPolicyRequest()
request.resource = "resource/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
call.return_value = policy_pb2.Policy()
client.get_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "resource=resource/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_iam_policy_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = iam_policy_pb2.GetIamPolicyRequest()
request.resource = "resource/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
await client.get_iam_policy(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "resource=resource/value",) in kw["metadata"]
def test_get_iam_policy_from_dict_foreign():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy()
response = client.get_iam_policy(
request={
"resource": "resource_value",
"options": options_pb2.GetPolicyOptions(requested_policy_version=2598),
}
)
call.assert_called()
def test_get_iam_policy_flattened():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_iam_policy(resource="resource_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].resource == "resource_value"
def test_get_iam_policy_flattened_error():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_iam_policy(
iam_policy_pb2.GetIamPolicyRequest(), resource="resource_value",
)
@pytest.mark.asyncio
async def test_get_iam_policy_flattened_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = policy_pb2.Policy()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_iam_policy(resource="resource_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].resource == "resource_value"
@pytest.mark.asyncio
async def test_get_iam_policy_flattened_error_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_iam_policy(
iam_policy_pb2.GetIamPolicyRequest(), resource="resource_value",
)
def test_test_iam_permissions(
transport: str = "grpc", request_type=iam_policy_pb2.TestIamPermissionsRequest
):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.test_iam_permissions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = iam_policy_pb2.TestIamPermissionsResponse(
permissions=["permissions_value"],
)
response = client.test_iam_permissions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.TestIamPermissionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
assert response.permissions == ["permissions_value"]
def test_test_iam_permissions_from_dict():
test_test_iam_permissions(request_type=dict)
def test_test_iam_permissions_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.test_iam_permissions), "__call__"
) as call:
client.test_iam_permissions()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.TestIamPermissionsRequest()
@pytest.mark.asyncio
async def test_test_iam_permissions_async(
transport: str = "grpc_asyncio",
request_type=iam_policy_pb2.TestIamPermissionsRequest,
):
client = DataCatalogAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.test_iam_permissions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
iam_policy_pb2.TestIamPermissionsResponse(
permissions=["permissions_value"],
)
)
response = await client.test_iam_permissions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == iam_policy_pb2.TestIamPermissionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
assert response.permissions == ["permissions_value"]
@pytest.mark.asyncio
async def test_test_iam_permissions_async_from_dict():
await test_test_iam_permissions_async(request_type=dict)
def test_test_iam_permissions_field_headers():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = iam_policy_pb2.TestIamPermissionsRequest()
request.resource = "resource/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.test_iam_permissions), "__call__"
) as call:
call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
client.test_iam_permissions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "resource=resource/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_test_iam_permissions_field_headers_async():
client = DataCatalogAsyncClient(credentials=ga_credentials.AnonymousCredentials(),)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = iam_policy_pb2.TestIamPermissionsRequest()
request.resource = "resource/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.test_iam_permissions), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
iam_policy_pb2.TestIamPermissionsResponse()
)
await client.test_iam_permissions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "resource=resource/value",) in kw["metadata"]
def test_test_iam_permissions_from_dict_foreign():
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.test_iam_permissions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
response = client.test_iam_permissions(
request={
"resource": "resource_value",
"permissions": ["permissions_value"],
}
)
call.assert_called()
def test_credentials_transport_error():
# It is an error to provide credentials and a transport instance.
transport = transports.DataCatalogGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# It is an error to provide a credentials file and a transport instance.
transport = transports.DataCatalogGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = DataCatalogClient(
client_options={"credentials_file": "credentials.json"},
transport=transport,
)
# It is an error to provide scopes and a transport instance.
transport = transports.DataCatalogGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = DataCatalogClient(
client_options={"scopes": ["1", "2"]}, transport=transport,
)
def test_transport_instance():
# A client may be instantiated with a custom transport instance.
transport = transports.DataCatalogGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
client = DataCatalogClient(transport=transport)
assert client.transport is transport
def test_transport_get_channel():
# A client may be instantiated with a custom transport instance.
transport = transports.DataCatalogGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
channel = transport.grpc_channel
assert channel
transport = transports.DataCatalogGrpcAsyncIOTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
channel = transport.grpc_channel
assert channel
@pytest.mark.parametrize(
"transport_class",
[transports.DataCatalogGrpcTransport, transports.DataCatalogGrpcAsyncIOTransport,],
)
def test_transport_adc(transport_class):
# Test default credentials are used if not provided.
with mock.patch.object(google.auth, "default") as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class()
adc.assert_called_once()
def test_transport_grpc_default():
# A client should use the gRPC transport by default.
client = DataCatalogClient(credentials=ga_credentials.AnonymousCredentials(),)
assert isinstance(client.transport, transports.DataCatalogGrpcTransport,)
def test_data_catalog_base_transport_error():
# Passing both a credentials object and credentials_file should raise an error
with pytest.raises(core_exceptions.DuplicateCredentialArgs):
transport = transports.DataCatalogTransport(
credentials=ga_credentials.AnonymousCredentials(),
credentials_file="credentials.json",
)
def test_data_catalog_base_transport():
# Instantiate the base transport.
with mock.patch(
"google.cloud.datacatalog_v1beta1.services.data_catalog.transports.DataCatalogTransport.__init__"
) as Transport:
Transport.return_value = None
transport = transports.DataCatalogTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
# Every method on the transport should just blindly
# raise NotImplementedError.
methods = (
"search_catalog",
"create_entry_group",
"update_entry_group",
"get_entry_group",
"delete_entry_group",
"list_entry_groups",
"create_entry",
"update_entry",
"delete_entry",
"get_entry",
"lookup_entry",
"list_entries",
"create_tag_template",
"get_tag_template",
"update_tag_template",
"delete_tag_template",
"create_tag_template_field",
"update_tag_template_field",
"rename_tag_template_field",
"delete_tag_template_field",
"create_tag",
"update_tag",
"delete_tag",
"list_tags",
"set_iam_policy",
"get_iam_policy",
"test_iam_permissions",
)
for method in methods:
with pytest.raises(NotImplementedError):
getattr(transport, method)(request=object())
@requires_google_auth_gte_1_25_0
def test_data_catalog_base_transport_with_credentials_file():
# Instantiate the base transport with a credentials file
with mock.patch.object(
google.auth, "load_credentials_from_file", autospec=True
) as load_creds, mock.patch(
"google.cloud.datacatalog_v1beta1.services.data_catalog.transports.DataCatalogTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.DataCatalogTransport(
credentials_file="credentials.json", quota_project_id="octopus",
)
load_creds.assert_called_once_with(
"credentials.json",
scopes=None,
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id="octopus",
)
@requires_google_auth_lt_1_25_0
def test_data_catalog_base_transport_with_credentials_file_old_google_auth():
# Instantiate the base transport with a credentials file
with mock.patch.object(
google.auth, "load_credentials_from_file", autospec=True
) as load_creds, mock.patch(
"google.cloud.datacatalog_v1beta1.services.data_catalog.transports.DataCatalogTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.DataCatalogTransport(
credentials_file="credentials.json", quota_project_id="octopus",
)
load_creds.assert_called_once_with(
"credentials.json",
scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id="octopus",
)
def test_data_catalog_base_transport_with_adc():
# Test the default credentials are used if credentials and credentials_file are None.
with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
"google.cloud.datacatalog_v1beta1.services.data_catalog.transports.DataCatalogTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.DataCatalogTransport()
adc.assert_called_once()
@requires_google_auth_gte_1_25_0
def test_data_catalog_auth_adc():
# If no credentials are provided, we should use ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
DataCatalogClient()
adc.assert_called_once_with(
scopes=None,
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id=None,
)
@requires_google_auth_lt_1_25_0
def test_data_catalog_auth_adc_old_google_auth():
# If no credentials are provided, we should use ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
DataCatalogClient()
adc.assert_called_once_with(
scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id=None,
)
@pytest.mark.parametrize(
"transport_class",
[transports.DataCatalogGrpcTransport, transports.DataCatalogGrpcAsyncIOTransport,],
)
@requires_google_auth_gte_1_25_0
def test_data_catalog_transport_auth_adc(transport_class):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class(quota_project_id="octopus", scopes=["1", "2"])
adc.assert_called_once_with(
scopes=["1", "2"],
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id="octopus",
)
@pytest.mark.parametrize(
"transport_class",
[transports.DataCatalogGrpcTransport, transports.DataCatalogGrpcAsyncIOTransport,],
)
@requires_google_auth_lt_1_25_0
def test_data_catalog_transport_auth_adc_old_google_auth(transport_class):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class(quota_project_id="octopus")
adc.assert_called_once_with(
scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id="octopus",
)
@pytest.mark.parametrize(
"transport_class,grpc_helpers",
[
(transports.DataCatalogGrpcTransport, grpc_helpers),
(transports.DataCatalogGrpcAsyncIOTransport, grpc_helpers_async),
],
)
def test_data_catalog_transport_create_channel(transport_class, grpc_helpers):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(
google.auth, "default", autospec=True
) as adc, mock.patch.object(
grpc_helpers, "create_channel", autospec=True
) as create_channel:
creds = ga_credentials.AnonymousCredentials()
adc.return_value = (creds, None)
transport_class(quota_project_id="octopus", scopes=["1", "2"])
create_channel.assert_called_with(
"datacatalog.googleapis.com:443",
credentials=creds,
credentials_file=None,
quota_project_id="octopus",
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
scopes=["1", "2"],
default_host="datacatalog.googleapis.com",
ssl_credentials=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
@pytest.mark.parametrize(
"transport_class",
[transports.DataCatalogGrpcTransport, transports.DataCatalogGrpcAsyncIOTransport],
)
def test_data_catalog_grpc_transport_client_cert_source_for_mtls(transport_class):
cred = ga_credentials.AnonymousCredentials()
# Check ssl_channel_credentials is used if provided.
with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
mock_ssl_channel_creds = mock.Mock()
transport_class(
host="squid.clam.whelk",
credentials=cred,
ssl_channel_credentials=mock_ssl_channel_creds,
)
mock_create_channel.assert_called_once_with(
"squid.clam.whelk:443",
credentials=cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_channel_creds,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
# Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
# is used.
with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
transport_class(
credentials=cred,
client_cert_source_for_mtls=client_cert_source_callback,
)
expected_cert, expected_key = client_cert_source_callback()
mock_ssl_cred.assert_called_once_with(
certificate_chain=expected_cert, private_key=expected_key
)
def test_data_catalog_host_no_port():
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="datacatalog.googleapis.com"
),
)
assert client.transport._host == "datacatalog.googleapis.com:443"
def test_data_catalog_host_with_port():
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="datacatalog.googleapis.com:8000"
),
)
assert client.transport._host == "datacatalog.googleapis.com:8000"
def test_data_catalog_grpc_transport_channel():
channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
# Check that channel is used if provided.
transport = transports.DataCatalogGrpcTransport(
host="squid.clam.whelk", channel=channel,
)
assert transport.grpc_channel == channel
assert transport._host == "squid.clam.whelk:443"
assert transport._ssl_channel_credentials == None
def test_data_catalog_grpc_asyncio_transport_channel():
channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
# Check that channel is used if provided.
transport = transports.DataCatalogGrpcAsyncIOTransport(
host="squid.clam.whelk", channel=channel,
)
assert transport.grpc_channel == channel
assert transport._host == "squid.clam.whelk:443"
assert transport._ssl_channel_credentials == None
# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
# removed from grpc/grpc_asyncio transport constructor.
@pytest.mark.parametrize(
"transport_class",
[transports.DataCatalogGrpcTransport, transports.DataCatalogGrpcAsyncIOTransport],
)
def test_data_catalog_transport_channel_mtls_with_client_cert_source(transport_class):
with mock.patch(
"grpc.ssl_channel_credentials", autospec=True
) as grpc_ssl_channel_cred:
with mock.patch.object(
transport_class, "create_channel"
) as grpc_create_channel:
mock_ssl_cred = mock.Mock()
grpc_ssl_channel_cred.return_value = mock_ssl_cred
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
cred = ga_credentials.AnonymousCredentials()
with pytest.warns(DeprecationWarning):
with mock.patch.object(google.auth, "default") as adc:
adc.return_value = (cred, None)
transport = transport_class(
host="squid.clam.whelk",
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=client_cert_source_callback,
)
adc.assert_called_once()
grpc_ssl_channel_cred.assert_called_once_with(
certificate_chain=b"cert bytes", private_key=b"key bytes"
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
assert transport._ssl_channel_credentials == mock_ssl_cred
# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
# removed from grpc/grpc_asyncio transport constructor.
@pytest.mark.parametrize(
"transport_class",
[transports.DataCatalogGrpcTransport, transports.DataCatalogGrpcAsyncIOTransport],
)
def test_data_catalog_transport_channel_mtls_with_adc(transport_class):
mock_ssl_cred = mock.Mock()
with mock.patch.multiple(
"google.auth.transport.grpc.SslCredentials",
__init__=mock.Mock(return_value=None),
ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
):
with mock.patch.object(
transport_class, "create_channel"
) as grpc_create_channel:
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
mock_cred = mock.Mock()
with pytest.warns(DeprecationWarning):
transport = transport_class(
host="squid.clam.whelk",
credentials=mock_cred,
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=None,
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=mock_cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
def test_entry_path():
project = "squid"
location = "clam"
entry_group = "whelk"
entry = "octopus"
expected = "projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}".format(
project=project, location=location, entry_group=entry_group, entry=entry,
)
actual = DataCatalogClient.entry_path(project, location, entry_group, entry)
assert expected == actual
def test_parse_entry_path():
expected = {
"project": "oyster",
"location": "nudibranch",
"entry_group": "cuttlefish",
"entry": "mussel",
}
path = DataCatalogClient.entry_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_entry_path(path)
assert expected == actual
def test_entry_group_path():
project = "winkle"
location = "nautilus"
entry_group = "scallop"
expected = "projects/{project}/locations/{location}/entryGroups/{entry_group}".format(
project=project, location=location, entry_group=entry_group,
)
actual = DataCatalogClient.entry_group_path(project, location, entry_group)
assert expected == actual
def test_parse_entry_group_path():
expected = {
"project": "abalone",
"location": "squid",
"entry_group": "clam",
}
path = DataCatalogClient.entry_group_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_entry_group_path(path)
assert expected == actual
def test_tag_path():
project = "whelk"
location = "octopus"
entry_group = "oyster"
entry = "nudibranch"
tag = "cuttlefish"
expected = "projects/{project}/locations/{location}/entryGroups/{entry_group}/entries/{entry}/tags/{tag}".format(
project=project,
location=location,
entry_group=entry_group,
entry=entry,
tag=tag,
)
actual = DataCatalogClient.tag_path(project, location, entry_group, entry, tag)
assert expected == actual
def test_parse_tag_path():
expected = {
"project": "mussel",
"location": "winkle",
"entry_group": "nautilus",
"entry": "scallop",
"tag": "abalone",
}
path = DataCatalogClient.tag_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_tag_path(path)
assert expected == actual
def test_tag_template_path():
project = "squid"
location = "clam"
tag_template = "whelk"
expected = "projects/{project}/locations/{location}/tagTemplates/{tag_template}".format(
project=project, location=location, tag_template=tag_template,
)
actual = DataCatalogClient.tag_template_path(project, location, tag_template)
assert expected == actual
def test_parse_tag_template_path():
expected = {
"project": "octopus",
"location": "oyster",
"tag_template": "nudibranch",
}
path = DataCatalogClient.tag_template_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_tag_template_path(path)
assert expected == actual
def test_tag_template_field_path():
project = "cuttlefish"
location = "mussel"
tag_template = "winkle"
field = "nautilus"
expected = "projects/{project}/locations/{location}/tagTemplates/{tag_template}/fields/{field}".format(
project=project, location=location, tag_template=tag_template, field=field,
)
actual = DataCatalogClient.tag_template_field_path(
project, location, tag_template, field
)
assert expected == actual
def test_parse_tag_template_field_path():
expected = {
"project": "scallop",
"location": "abalone",
"tag_template": "squid",
"field": "clam",
}
path = DataCatalogClient.tag_template_field_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_tag_template_field_path(path)
assert expected == actual
def test_common_billing_account_path():
billing_account = "whelk"
expected = "billingAccounts/{billing_account}".format(
billing_account=billing_account,
)
actual = DataCatalogClient.common_billing_account_path(billing_account)
assert expected == actual
def test_parse_common_billing_account_path():
expected = {
"billing_account": "octopus",
}
path = DataCatalogClient.common_billing_account_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_common_billing_account_path(path)
assert expected == actual
def test_common_folder_path():
folder = "oyster"
expected = "folders/{folder}".format(folder=folder,)
actual = DataCatalogClient.common_folder_path(folder)
assert expected == actual
def test_parse_common_folder_path():
expected = {
"folder": "nudibranch",
}
path = DataCatalogClient.common_folder_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_common_folder_path(path)
assert expected == actual
def test_common_organization_path():
organization = "cuttlefish"
expected = "organizations/{organization}".format(organization=organization,)
actual = DataCatalogClient.common_organization_path(organization)
assert expected == actual
def test_parse_common_organization_path():
expected = {
"organization": "mussel",
}
path = DataCatalogClient.common_organization_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_common_organization_path(path)
assert expected == actual
def test_common_project_path():
project = "winkle"
expected = "projects/{project}".format(project=project,)
actual = DataCatalogClient.common_project_path(project)
assert expected == actual
def test_parse_common_project_path():
expected = {
"project": "nautilus",
}
path = DataCatalogClient.common_project_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_common_project_path(path)
assert expected == actual
def test_common_location_path():
project = "scallop"
location = "abalone"
expected = "projects/{project}/locations/{location}".format(
project=project, location=location,
)
actual = DataCatalogClient.common_location_path(project, location)
assert expected == actual
def test_parse_common_location_path():
expected = {
"project": "squid",
"location": "clam",
}
path = DataCatalogClient.common_location_path(**expected)
# Check that the path construction is reversible.
actual = DataCatalogClient.parse_common_location_path(path)
assert expected == actual
def test_client_withDEFAULT_CLIENT_INFO():
client_info = gapic_v1.client_info.ClientInfo()
with mock.patch.object(
transports.DataCatalogTransport, "_prep_wrapped_messages"
) as prep:
client = DataCatalogClient(
credentials=ga_credentials.AnonymousCredentials(), client_info=client_info,
)
prep.assert_called_once_with(client_info)
with mock.patch.object(
transports.DataCatalogTransport, "_prep_wrapped_messages"
) as prep:
transport_class = DataCatalogClient.get_transport_class()
transport = transport_class(
credentials=ga_credentials.AnonymousCredentials(), client_info=client_info,
)
prep.assert_called_once_with(client_info)
| 38.857551
| 119
| 0.692187
| 34,254
| 285,875
| 5.551527
| 0.014626
| 0.016197
| 0.02632
| 0.061316
| 0.959482
| 0.940898
| 0.929224
| 0.911602
| 0.892776
| 0.877084
| 0
| 0.004578
| 0.222891
| 285,875
| 7,356
| 120
| 38.862833
| 0.851406
| 0.228373
| 0
| 0.707767
| 0
| 0
| 0.078799
| 0.02628
| 0
| 0
| 0
| 0.000136
| 0.156834
| 1
| 0.047114
| false
| 0
| 0.00764
| 0.000424
| 0.055178
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| null | 0
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| 0
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| 0
| 0
|
0
| 7
|
53d18789a7cde6335ecf938aaae61ecf37a82c34
| 308
|
py
|
Python
|
temboo/core/Library/Dwolla/Contacts/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | 7
|
2016-03-07T02:07:21.000Z
|
2022-01-21T02:22:41.000Z
|
temboo/core/Library/Dwolla/Contacts/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | null | null | null |
temboo/core/Library/Dwolla/Contacts/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | 8
|
2016-06-14T06:01:11.000Z
|
2020-04-22T09:21:44.000Z
|
from temboo.Library.Dwolla.Contacts.NearbyContacts import NearbyContacts, NearbyContactsInputSet, NearbyContactsResultSet, NearbyContactsChoreographyExecution
from temboo.Library.Dwolla.Contacts.UserContacts import UserContacts, UserContactsInputSet, UserContactsResultSet, UserContactsChoreographyExecution
| 102.666667
| 158
| 0.909091
| 22
| 308
| 12.727273
| 0.636364
| 0.071429
| 0.121429
| 0.164286
| 0.221429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 308
| 2
| 159
| 154
| 0.952381
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| true
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| 1
| 0
| 1
| 0
|
0
| 8
|
9900a325407f52e9b24fa30a9005f4a3d92b56b9
| 40,447
|
py
|
Python
|
dashboard/dashboard/pinpoint/models/job_test.py
|
BearerPipelineTest/catapult
|
3800a67cd916200046a50748893bbd0dcf3d7f4a
|
[
"BSD-3-Clause"
] | 1,894
|
2015-04-17T18:29:53.000Z
|
2022-03-28T22:41:06.000Z
|
dashboard/dashboard/pinpoint/models/job_test.py
|
BearerPipelineTest/catapult
|
3800a67cd916200046a50748893bbd0dcf3d7f4a
|
[
"BSD-3-Clause"
] | 4,640
|
2015-07-08T16:19:08.000Z
|
2019-12-02T15:01:27.000Z
|
dashboard/dashboard/pinpoint/models/job_test.py
|
atuchin-m/catapult
|
108ea3e2ec108e68216b1250a3d79cc642600294
|
[
"BSD-3-Clause"
] | 698
|
2015-06-02T19:18:35.000Z
|
2022-03-29T16:57:15.000Z
|
# Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import datetime
import mock
import sys
from tracing.value.diagnostics import generic_set
from tracing.value.diagnostics import reserved_infos
from dashboard.common import layered_cache
from dashboard.common import utils
from dashboard.models import histogram
from dashboard.pinpoint.models import change
from dashboard.pinpoint.models import errors
from dashboard.pinpoint.models import job
from dashboard.pinpoint.models import scheduler
from dashboard.pinpoint import test
# This is a very long file.
# pylint: disable=too-many-lines
_CHROMIUM_URL = 'https://chromium.googlesource.com/chromium/src'
_COMMENT_STARTED = (u"""\U0001f4cd Pinpoint job started.
https://testbed.example.com/job/1""")
_COMMENT_COMPLETED_NO_COMPARISON = (
u"""<b>\U0001f4cd Job complete. See results below.</b>
https://testbed.example.com/job/1""")
_COMMENT_COMPLETED_NO_DIFFERENCES = (
u"""<b>\U0001f4cd Couldn't reproduce a difference.</b>
https://testbed.example.com/job/1""")
_COMMENT_COMPLETED_NO_DIFFERENCES_DUE_TO_FAILURE = (
u"""<b>\U0001f63f Job finished with errors.</b>
https://testbed.example.com/job/1
One or both of the initial changes failed to produce any results.
Perhaps the job is misconfigured or the tests are broken? See the job
page for details.""")
_COMMENT_FAILED = (u"""\U0001f63f Pinpoint job stopped with an error.
https://testbed.example.com/job/1
Error string""")
_COMMENT_CODE_REVIEW = (u"""\U0001f4cd Job complete.
See results at: https://testbed.example.com/job/1""")
def FakeCommitAsDict(commit_self):
"""Fake for Commit.AsDict.
Returns a canned commit dict based on the Commit's git_hash, which must start
with the prefix "git_hash_".
Use like::
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict',
autospec=True)
def testFoo(self, commit_as_dict):
commit_as_dict.side_effect = FakeCommitAsDict
...
"""
git_hash = commit_self.git_hash
n = git_hash[len('git_hash_'):]
return {
'repository': 'chromium',
'git_hash': git_hash,
'url': 'https://example.com/repository/+/' + git_hash,
'author': 'author%s@chromium.org' % (n,),
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
}
@mock.patch.object(job.results2, 'GetCachedResults2',
mock.MagicMock(return_value='http://foo'))
class JobTest(test.TestCase):
@mock.patch.object(
job.timing_record, 'GetSimilarHistoricalTimings',
mock.MagicMock(
return_value=job.timing_record.EstimateResult(
job.timing_record.Timings(
datetime.timedelta(seconds=10), datetime.timedelta(
seconds=5), datetime.timedelta(
seconds=100)), ['try', 'linux'])))
@mock.patch.object(job.scheduler, 'QueueStats',
mock.MagicMock(return_value=[]))
def testAsDictOptions_Estimate(self):
j = job.Job.New((), (), bug_id=123456)
d = j.AsDict([job.OPTION_ESTIMATE])
self.assertTrue('estimate' in d)
self.assertEqual(d['estimate']['timings'][0], 10)
self.assertEqual(d['estimate']['timings'][1], 5)
self.assertEqual(d['estimate']['timings'][2], 100)
self.assertEqual(d['estimate']['tags'], ['try', 'linux'])
def testAsDictOptions_Inputs(self):
j = job.Job.New((), (), bug_id=123456)
d = j.AsDict([job.OPTION_INPUTS])
self.assertEqual(d['state'], [])
@mock.patch.object(job.timing_record, 'GetSimilarHistoricalTimings',
mock.MagicMock(return_value=None))
@mock.patch.object(job.scheduler, 'QueueStats',
mock.MagicMock(return_value=[]))
def testAsDictOptions_EstimateFails(self):
j = job.Job.New((), (), bug_id=123456)
d = j.AsDict([job.OPTION_ESTIMATE])
self.assertFalse('estimate' in d)
class RetryTest(test.TestCase):
def setUp(self):
super(RetryTest, self).setUp()
def testStarted_RecoverableError_BacksOff(self):
j = job.Job.New((), (), comparison_mode='performance')
j.Start()
scheduler.Schedule(j)
j.state.Explore = mock.MagicMock(side_effect=errors.RecoverableError(None))
j._Schedule = mock.MagicMock()
j.put = mock.MagicMock()
j.Fail = mock.MagicMock()
j.Run()
j.Run()
j.Run()
self.assertEqual(j._Schedule.call_args_list[0],
mock.call(countdown=job._TASK_INTERVAL * 2))
self.assertEqual(j._Schedule.call_args_list[1],
mock.call(countdown=job._TASK_INTERVAL * 4))
self.assertEqual(j._Schedule.call_args_list[2],
mock.call(countdown=job._TASK_INTERVAL * 8))
self.assertFalse(j.Fail.called)
j.Run()
self.assertTrue(j.Fail.called)
def testStarted_RecoverableError_Resets(self):
j = job.Job.New((), (), comparison_mode='performance')
j.Start()
scheduler.Schedule(j)
j.state.Explore = mock.MagicMock(side_effect=errors.RecoverableError(None))
j._Schedule = mock.MagicMock()
j.put = mock.MagicMock()
j.Fail = mock.MagicMock()
j.Run()
j.Run()
j.Run()
self.assertEqual(j._Schedule.call_args_list[0],
mock.call(countdown=job._TASK_INTERVAL * 2))
self.assertEqual(j._Schedule.call_args_list[1],
mock.call(countdown=job._TASK_INTERVAL * 4))
self.assertEqual(j._Schedule.call_args_list[2],
mock.call(countdown=job._TASK_INTERVAL * 8))
self.assertFalse(j.Fail.called)
j.state.Explore = mock.MagicMock()
j.Run()
self.assertEqual(0, j.retry_count)
@mock.patch('dashboard.pinpoint.models.job_state.JobState.ChangesExamined',
lambda _: 10)
@mock.patch('dashboard.common.utils.ServiceAccountHttp', mock.MagicMock())
class BugCommentTest(test.TestCase):
def setUp(self):
super(BugCommentTest, self).setUp()
self.add_bug_comment = mock.MagicMock()
self.get_issue = mock.MagicMock()
patcher = mock.patch('dashboard.services.issue_tracker_service.'
'IssueTrackerService')
issue_tracker_service = patcher.start()
issue_tracker_service.return_value = mock.MagicMock(
AddBugComment=self.add_bug_comment, GetIssue=self.get_issue)
self.addCleanup(patcher.stop)
def testNoBug(self):
j = job.Job.New((), ())
j.Start()
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(self.add_bug_comment.called)
def testStarted(self):
j = job.Job.New((), (), bug_id=123456)
j.Start()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
_COMMENT_STARTED,
labels=mock.ANY,
send_email=True,
project='chromium')
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Started', labels)
self.assertNotIn('-Pinpoint-Job-Started', labels)
def testCompletedNoComparison(self):
j = job.Job.New((), (), bug_id=123456)
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
_COMMENT_COMPLETED_NO_COMPARISON,
labels=['Pinpoint-Tryjob-Completed'],
project='chromium',
)
def testCompletedNoDifference(self):
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
_COMMENT_COMPLETED_NO_DIFFERENCES,
labels=mock.ANY,
status='WontFix',
project='chromium',
)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-No-Repro', labels)
self.assertNotIn('-Pinpoint-No-Repro', labels)
@mock.patch.object(job.job_state.JobState, 'FirstOrLastChangeFailed')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedNoDifferenceDueToFailureAtOneChange(
self, differences, first_or_last_change_failed):
differences.return_value = []
first_or_last_change_failed.return_value = True
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
_COMMENT_COMPLETED_NO_DIFFERENCES_DUE_TO_FAILURE,
labels=mock.ANY,
project='chromium',
)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Failed', labels)
self.assertNotIn('-Pinpoint-Job-Failed', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedWithCommit(self, differences, result_values, commit_as_dict):
c = change.Change((change.Commit('chromium', 'git_hash'),))
differences.return_value = [(None, c)]
result_values.side_effect = [0], [1.23456]
commit_as_dict.return_value = {
'repository': 'chromium',
'git_hash': 'git_hash',
'url': 'https://example.com/repository/+/git_hash',
'author': 'author@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
}
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author@chromium.org',
labels=mock.ANY,
cc_list=['author@chromium.org'],
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found a significant difference at 1 commit.', message)
self.assertIn('<b>Subject.</b>', message)
self.assertIn('https://example.com/repository/+/git_hash', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedMergeIntoExisting(self, differences, result_values,
commit_as_dict):
c = change.Change((change.Commit('chromium', 'git_hash'),))
differences.return_value = [(None, c)]
result_values.side_effect = [0], [1.23456]
commit_as_dict.return_value = {
'repository': 'chromium',
'git_hash': 'git_hash',
'author': 'author@chromium.org',
'subject': 'Subject.',
'url': 'https://example.com/repository/+/git_hash',
'message': 'Subject.\n\nCommit message.',
}
self.get_issue.return_value = {
'status': 'Untriaged',
'id': '111222',
'projectId': 'chromium'
}
layered_cache.SetExternal('commit_hash_git_hash', 'chromium:111222')
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author@chromium.org',
cc_list=[],
labels=mock.ANY,
merge_issue='111222',
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found a significant difference at 1 commit.', message)
self.assertIn('https://example.com/repository/+/git_hash', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedSkipsMergeWhenDuplicate(self, differences, result_values,
commit_as_dict):
c = change.Change((change.Commit('chromium', 'git_hash'),))
differences.return_value = [(None, c)]
result_values.side_effect = [0], [1.23456]
commit_as_dict.return_value = {
'repository': 'chromium',
'git_hash': 'git_hash',
'author': 'author@chromium.org',
'subject': 'Subject.',
'url': 'https://example.com/repository/+/git_hash',
'message': 'Subject.\n\nCommit message.',
}
def _GetIssue(bug_id, project='chromium'):
if bug_id == '111222':
return {'status': 'Duplicate', 'projectId': project, 'id': '111222'}
else:
return {'status': 'Untriaged', 'projectId': project, 'id': str(bug_id)}
self.get_issue.side_effect = _GetIssue
layered_cache.SetExternal('commit_hash_git_hash', 'chromium:111222')
j = job.Job.New((), (),
bug_id=123456,
comparison_mode='performance',
project='chromium')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author@chromium.org',
labels=mock.ANY,
cc_list=['author@chromium.org'],
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found a significant difference at 1 commit.', message)
self.assertIn('https://example.com/repository/+/git_hash', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedWithInvalidIssue(self, differences, result_values,
commit_as_dict):
c = change.Change((change.Commit('chromium', 'git_hash'),))
differences.return_value = [(None, c)]
result_values.side_effect = [0], [1.23456]
commit_as_dict.return_value = {
'repository': 'chromium',
'git_hash': 'git_hash',
'url': 'https://example.com/repository/+/git_hash',
'author': 'author@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
}
self.get_issue.return_value = None
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.assertFalse(self.add_bug_comment.called)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedWithCommitAndDocs(self, differences, result_values,
commit_as_dict):
c = change.Change((change.Commit('chromium', 'git_hash'),))
differences.return_value = [(None, c)]
result_values.side_effect = [1.23456], [0]
commit_as_dict.return_value = {
'repository': 'chromium',
'git_hash': 'git_hash',
'url': 'https://example.com/repository/+/git_hash',
'author': 'author@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
}
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (),
bug_id=123456,
comparison_mode='performance',
tags={'test_path': 'master/bot/benchmark'})
diag_dict = generic_set.GenericSet([[u'Benchmark doc link',
u'http://docs']])
diag = histogram.SparseDiagnostic(
data=diag_dict.AsDict(),
start_revision=1,
end_revision=sys.maxsize,
name=reserved_infos.DOCUMENTATION_URLS.name,
test=utils.TestKey('master/bot/benchmark'))
diag.put()
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author@chromium.org',
labels=mock.ANY,
cc_list=['author@chromium.org'],
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found a significant difference at 1 commit.', message)
self.assertIn('http://docs', message)
self.assertIn('Benchmark doc link', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
@mock.patch('dashboard.pinpoint.models.change.patch.GerritPatch.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedWithPatch(self, differences, result_values, patch_as_dict):
commits = (change.Commit('chromium', 'git_hash'),)
patch = change.GerritPatch('https://codereview.com', 672011, '2f0d5c7')
c = change.Change(commits, patch)
differences.return_value = [(None, c)]
result_values.side_effect = [40], [20]
patch_as_dict.return_value = {
'url': 'https://codereview.com/c/672011/2f0d5c7',
'author': 'author@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
}
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author@chromium.org',
labels=mock.ANY,
cc_list=['author@chromium.org'],
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found a significant difference at 1 commit.', message)
self.assertIn('https://codereview.com/c/672011/2f0d5c7', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
@mock.patch('dashboard.pinpoint.models.change.patch.GerritPatch.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedDoesReassign(self, differences, result_values,
patch_as_dict):
commits = (change.Commit('chromium', 'git_hash'),)
patch = change.GerritPatch('https://codereview.com', 672011, '2f0d5c7')
c = change.Change(commits, patch)
c = change.Change(commits, patch)
differences.return_value = [(None, c)]
result_values.side_effect = [40], [20]
patch_as_dict.return_value = {
'url': 'https://codereview.com/c/672011/2f0d5c7',
'author': 'author@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
}
self.get_issue.return_value = {
'status': 'Assigned',
'owner': {
'email': 'some-author@somewhere.org'
}
}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
owner='author@chromium.org',
status=None,
cc_list=['author@chromium.org', 'some-author@somewhere.org'],
labels=mock.ANY,
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found a significant difference at 1 commit.', message)
self.assertIn('https://codereview.com/c/672011/2f0d5c7', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
@mock.patch('dashboard.pinpoint.models.change.patch.GerritPatch.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedDoesNotReopen(self, differences, result_values,
patch_as_dict):
commits = (change.Commit('chromium', 'git_hash'),)
patch = change.GerritPatch('https://codereview.com', 672011, '2f0d5c7')
c = change.Change(commits, patch)
differences.return_value = [(None, c)]
result_values.side_effect = [40], [20]
patch_as_dict.return_value = {
'url': 'https://codereview.com/c/672011/2f0d5c7',
'author': 'author@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
}
self.get_issue.return_value = {'status': 'Fixed'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
owner=None,
status=None,
cc_list=['author@chromium.org'],
labels=mock.ANY,
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('10 revisions compared', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedMultipleDifferences(self, differences, result_values,
commit_as_dict):
c0 = change.Change((change.Commit('chromium', 'git_hash_0'),))
c1 = change.Change((change.Commit('chromium', 'git_hash_1'),))
c2 = change.Change((change.Commit('chromium', 'git_hash_2'),))
c2_5 = change.Change((change.Commit('chromium', 'git_hash_2_5')))
c3 = change.Change((change.Commit('chromium', 'git_hash_3'),))
change_map = {c0: [50], c1: [0], c2: [40], c2_5: [0], c3: []}
differences.return_value = [(c0, c1), (c1, c2), (c2_5, c3)]
result_values.side_effect = lambda c: change_map.get(c, [])
commit_as_dict.side_effect = (
{
'repository': 'chromium',
'git_hash': 'git_hash_1',
'url': 'https://example.com/repository/+/git_hash_1',
'author': 'author1@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
},
{
'repository': 'chromium',
'git_hash': 'git_hash_2',
'url': 'https://example.com/repository/+/git_hash_2',
'author': 'author2@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
},
{
'repository': 'chromium',
'git_hash': 'git_hash_3',
'url': 'https://example.com/repository/+/git_hash_3',
'author': 'author3@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
},
)
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
# We now only CC folks from the top commit.
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author1@chromium.org',
cc_list=['author1@chromium.org'],
labels=mock.ANY,
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found significant differences at 2 commits.', message)
self.assertIn('1. Subject.', message)
self.assertIn('transitions from "no values" to "some values"', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Multiple-Culprits', labels)
self.assertNotIn('-Pinpoint-Multiple-Culprits', labels)
self.assertIn('Pinpoint-Multiple-MissingValues', labels)
self.assertNotIn('-Pinpoint-Multiple-MissingValues', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict',
autospec=True)
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedMultipleDifferences_BlameAbsoluteLargest(
self, differences, result_values, commit_as_dict):
c1 = change.Change((change.Commit('chromium', 'git_hash_1'),))
c2 = change.Change((change.Commit('chromium', 'git_hash_2'),))
c3 = change.Change((change.Commit('chromium', 'git_hash_3'),))
change_map = {c1: [10], c2: [0], c3: [-100]}
differences.return_value = [(None, c1), (c1, c2), (c2, c3)]
result_values.side_effect = lambda c: change_map.get(c, [])
commit_as_dict.side_effect = FakeCommitAsDict
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
# We now only CC folks from the top commit.
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author3@chromium.org',
cc_list=['author3@chromium.org'],
labels=mock.ANY,
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found significant differences at 2 commits.', message)
self.assertIn('https://example.com/repository/+/git_hash_3', message)
self.assertIn('https://example.com/repository/+/git_hash_2', message)
self.assertIn('https://example.com/repository/+/git_hash_1', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Multiple-Culprits', labels)
self.assertNotIn('-Pinpoint-Multiple-Culprits', labels)
self.assertIn('Pinpoint-Multiple-MissingValues', labels)
self.assertNotIn('-Pinpoint-Multiple-MissingValues', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict',
autospec=True)
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedMultipleDifferences_TenCulpritsCcTopTwo(
self, differences, result_values, commit_as_dict):
self.Parameterized_TestCompletedMultipleDifferences(10, 2, differences,
result_values,
commit_as_dict)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict',
autospec=True)
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedMultipleDifferences_HundredCulpritsCcTopThree(
self, differences, result_values, commit_as_dict):
self.Parameterized_TestCompletedMultipleDifferences(100, 3, differences,
result_values,
commit_as_dict)
def Parameterized_TestCompletedMultipleDifferences(self, number_culprits,
expected_num_ccs,
differences, result_values,
commit_as_dict):
changes = [
change.Change((change.Commit('chromium', 'git_hash_%d' % (i,)),))
for i in range(1, number_culprits + 1)
]
# Return [(None,c1), (c1,c2), (c2,c3), ...]
differences.return_value = zip([None] + changes, changes)
# Ensure culprits are ordered by deriving change results values from commit
# names. E.g.:
# Change(git_hash_1) -> result_value=[1],
# Change(git_hash_2) -> result_value=[4],
# etc.
def ResultValuesFromFakeGitHash(change_obj):
if change_obj is None:
return [0]
v = int(change_obj.commits[0].git_hash[len('git_hash_'):])
return [v * v] # Square the value to ensure increasing deltas.
result_values.side_effect = ResultValuesFromFakeGitHash
commit_as_dict.side_effect = FakeCommitAsDict
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
expected_ccs = [
'author%d@chromium.org' % (i,)
for i in range(number_culprits, number_culprits - expected_num_ccs, -1)
]
# We only CC folks from the top commits.
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner=expected_ccs[0],
cc_list=sorted(expected_ccs),
labels=mock.ANY,
merge_issue=None,
project='chromium')
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Multiple-Culprits', labels)
self.assertNotIn('-Pinpoint-Multiple-Culprits', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedMultipleDifferences_NoDeltas(self, differences,
result_values, commit_as_dict):
"""Regression test for http://crbug.com/1078680.
Picks people to notify even when none of the differences have deltas (they
are all transitions to/from "No values").
"""
# Two differences, neither has deltas (50 -> No Values, No Values -> 50).
c0 = change.Change((change.Commit('chromium', 'git_hash_0'),))
c1 = change.Change((change.Commit('chromium', 'git_hash_1'),))
c2 = change.Change((change.Commit('chromium', 'git_hash_2'),))
change_map = {c0: [50], c1: [], c2: [50]}
differences.return_value = [(c0, c1), (c1, c2)]
result_values.side_effect = lambda c: change_map.get(c, [])
commit_as_dict.side_effect = (
{
'repository': 'chromium',
'git_hash': 'git_hash_1',
'url': 'https://example.com/repository/+/git_hash_1',
'author': 'author1@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
},
{
'repository': 'chromium',
'git_hash': 'git_hash_2',
'url': 'https://example.com/repository/+/git_hash_2',
'author': 'author2@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
},
)
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
# Notifies the owner of the first change in the list of differences, seeing
# as they are all equally small.
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='author1@chromium.org',
cc_list=['author1@chromium.org'],
labels=mock.ANY,
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Missing Values', message)
self.assertIn('author1@chromium.org', message)
self.assertIn('author2@chromium.org', message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Multiple-MissingValues', labels)
self.assertNotIn('-Pinpoint-Multiple-MissingValues', labels)
self.assertNotIn('Pinpoint-Multiple-Culprits', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedWithAutoroll(self, differences, result_values,
commit_as_dict):
c = change.Change((change.Commit('chromium', 'git_hash'),))
differences.return_value = [(None, c)]
result_values.side_effect = [20], [30]
commit_as_dict.return_value = {
'repository': 'chromium',
'git_hash': 'git_hash',
'url': 'https://example.com/repository/+/git_hash',
'author': 'chromium-autoroll@skia-public.iam.gserviceaccount.com',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.\n\nTBR=sheriff@bar.com',
}
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
j.put()
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
mock.ANY,
status='Assigned',
owner='sheriff@bar.com',
cc_list=['chromium-autoroll@skia-public.iam.gserviceaccount.com'],
labels=mock.ANY,
merge_issue=None,
project='chromium')
message = self.add_bug_comment.call_args[0][1]
self.assertIn('Found a significant difference at 1 commit.', message)
self.assertIn('chromium-autoroll@skia-public.iam.gserviceaccount.com',
message)
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Completed', labels)
self.assertNotIn('-Pinpoint-Job-Completed', labels)
self.assertIn('Pinpoint-Culprit-Found', labels)
self.assertNotIn('-Pinpoint-Culprit-Found', labels)
@mock.patch('dashboard.pinpoint.models.change.commit.Commit.AsDict')
@mock.patch.object(job.job_state.JobState, 'ResultValues')
@mock.patch.object(job.job_state.JobState, 'Differences')
def testCompletedWithAutorollCulpritButNotMostRecent(self, differences,
result_values,
commit_as_dict):
"""Regression test for http://crbug.com/1076756.
When an autoroll has the biggest delta, assigns to its sheriff even when it
is not the latest change.
"""
c0 = change.Change((change.Commit('chromium', 'git_hash_0'),))
c1 = change.Change((change.Commit('chromium', 'git_hash_1'),))
c2 = change.Change((change.Commit('chromium', 'git_hash_2'),))
change_map = {c0: [0], c1: [10], c2: [10]}
differences.return_value = [(c0, c1), (c1, c2)]
result_values.side_effect = lambda c: change_map.get(c, [])
commit_as_dict.side_effect = (
{
'repository': 'chromium',
'git_hash': 'git_hash_1',
'url': 'https://example.com/repository/+/git_hash_1',
'author': 'chromium-autoroll@skia-public.iam.gserviceaccount.com',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.\n\nTBR=sheriff@bar.com',
},
{
'repository': 'chromium',
'git_hash': 'git_hash_2',
'url': 'https://example.com/repository/+/git_hash_2',
'author': 'author2@chromium.org',
'subject': 'Subject.',
'message': 'Subject.\n\nCommit message.',
},
)
self.get_issue.return_value = {'status': 'Untriaged'}
j = job.Job.New((), (), bug_id=123456, comparison_mode='performance')
j.put()
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
self.assertFalse(j.failed)
self.add_bug_comment.assert_called_once_with(
mock.ANY,
mock.ANY,
status='Assigned',
owner='sheriff@bar.com',
cc_list=['chromium-autoroll@skia-public.iam.gserviceaccount.com'],
labels=mock.ANY,
merge_issue=None,
project='chromium')
@mock.patch.object(job.job_state.JobState, 'ScheduleWork',
mock.MagicMock(side_effect=AssertionError('Error string')))
def testFailed(self):
j = job.Job.New((), (), bug_id=123456)
scheduler.Schedule(j)
with self.assertRaises(AssertionError):
j.Run()
self.ExecuteDeferredTasks('default')
self.assertTrue(j.failed)
self.add_bug_comment.assert_called_once_with(
123456,
_COMMENT_FAILED,
send_email=True,
labels=mock.ANY,
project='chromium')
labels = self.add_bug_comment.call_args[1]['labels']
self.assertIn('Pinpoint-Job-Failed', labels)
@mock.patch.object(job.job_state.JobState, 'ScheduleWork',
mock.MagicMock(side_effect=AssertionError('Error string')))
def testFailed_ExceptionDetailsFieldAdded(self):
j = job.Job.New((), (), bug_id=123456)
scheduler.Schedule(j)
with self.assertRaises(AssertionError):
j.Run()
j.exception = j.exception_details['traceback']
exception_details = job.Job.exception_details
delattr(job.Job, 'exception_details')
j.put()
self.assertTrue(j.failed)
self.assertFalse(hasattr(j, 'exception_details'))
job.Job.exception_details = exception_details
j = j.key.get(use_cache=False)
self.assertTrue(j.failed)
self.assertTrue(hasattr(j, 'exception_details'))
self.assertEqual(j.exception, j.exception_details['traceback'])
self.assertTrue(
j.exception_details['message'] in j.exception.splitlines()[-1])
@mock.patch('dashboard.services.gerrit_service.PostChangeComment')
def testCompletedUpdatesGerrit(self, post_change_comment):
j = job.Job.New((), (),
gerrit_server='https://review.com',
gerrit_change_id='123456')
scheduler.Schedule(j)
j.Run()
self.ExecuteDeferredTasks('default')
post_change_comment.assert_called_once_with('https://review.com', '123456',
_COMMENT_CODE_REVIEW)
| 40.650251
| 80
| 0.654288
| 4,713
| 40,447
| 5.446849
| 0.087418
| 0.022905
| 0.019088
| 0.032449
| 0.806396
| 0.778544
| 0.757041
| 0.73994
| 0.734642
| 0.725838
| 0
| 0.02175
| 0.202017
| 40,447
| 994
| 81
| 40.691147
| 0.773609
| 0.03538
| 0
| 0.720137
| 0
| 0
| 0.239746
| 0.073105
| 0
| 0
| 0
| 0
| 0.175199
| 1
| 0.03868
| false
| 0
| 0.018203
| 0
| 0.065984
| 0.001138
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
070c463e415a60eb8c9789475679afb0da7d7a46
| 126
|
py
|
Python
|
testfixtures/tests/mock.py
|
foobacca/testfixtures
|
c4f893ec0ac40ffa998d97152639536f54c8436d
|
[
"MIT"
] | null | null | null |
testfixtures/tests/mock.py
|
foobacca/testfixtures
|
c4f893ec0ac40ffa998d97152639536f54c8436d
|
[
"MIT"
] | null | null | null |
testfixtures/tests/mock.py
|
foobacca/testfixtures
|
c4f893ec0ac40ffa998d97152639536f54c8436d
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
try:
from unittest.mock import Mock, call
except:
from mock import Mock, call
| 18
| 40
| 0.761905
| 18
| 126
| 5.055556
| 0.5
| 0.21978
| 0.307692
| 0.395604
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.198413
| 126
| 6
| 41
| 21
| 0.90099
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
0721b6dbafd1d53e43b607c01ad3e42757f983a0
| 2,603
|
py
|
Python
|
python/taichi/lang/simt/warp.py
|
TiGeekMan/taichi
|
8fdd3b8e5aabf6b2c8f33ff06994e24d50942c3a
|
[
"MIT"
] | null | null | null |
python/taichi/lang/simt/warp.py
|
TiGeekMan/taichi
|
8fdd3b8e5aabf6b2c8f33ff06994e24d50942c3a
|
[
"MIT"
] | null | null | null |
python/taichi/lang/simt/warp.py
|
TiGeekMan/taichi
|
8fdd3b8e5aabf6b2c8f33ff06994e24d50942c3a
|
[
"MIT"
] | null | null | null |
from taichi._lib import core as _ti_core
from taichi.lang import expr
def all_nonzero(mask, predicate):
return expr.Expr(
_ti_core.insert_internal_func_call(
"cuda_all_sync_i32", expr.make_expr_group(mask, predicate), False))
def any_nonzero(mask, predicate):
return expr.Expr(
_ti_core.insert_internal_func_call(
"cuda_any_sync_i32", expr.make_expr_group(mask, predicate), False))
def unique():
# TODO
pass
def ballot(predicate):
return expr.Expr(
_ti_core.insert_internal_func_call("cuda_ballot_i32",
expr.make_expr_group(predicate),
False))
def shfl_sync_i32(mask, val, offset):
return expr.Expr(
_ti_core.insert_internal_func_call(
# lane offset is 31 for warp size 32
"cuda_shfl_sync_i32",
expr.make_expr_group(mask, val, offset, 31),
False))
def shfl_sync_f32(mask, val, offset):
return expr.Expr(
_ti_core.insert_internal_func_call(
# lane offset is 31 for warp size 32
"cuda_shfl_sync_f32",
expr.make_expr_group(mask, val, offset, 31),
False))
def shfl_down_i32(mask, val, offset):
return expr.Expr(
_ti_core.insert_internal_func_call(
"cuda_shfl_down_sync_i32",
# lane offset is 31 for warp size 32
expr.make_expr_group(mask, val, offset, 31),
False))
def shfl_up_i32(mask, val, offset):
return expr.Expr(
_ti_core.insert_internal_func_call(
"cuda_shfl_up_sync_i32",
# lane offset is 0 for warp size 32
expr.make_expr_group(mask, val, offset, 0),
False))
def shfl_up_f32(mask, val, offset):
return expr.Expr(
_ti_core.insert_internal_func_call(
"cuda_shfl_up_sync_f32",
# lane offset is 0 for warp size 32
expr.make_expr_group(mask, val, offset, 0),
False))
def shfl_xor_i32(mask, val, offset):
return expr.Expr(
_ti_core.insert_internal_func_call(
"cuda_shfl_xor_sync_i32",
expr.make_expr_group(mask, val, offset, 31), False))
def match_any():
# TODO
pass
def match_all():
# TODO
pass
def active_mask():
# TODO
pass
def sync():
# TODO
pass
__all__ = [
'all_nonzero',
'any_nonzero',
'unique',
'ballot',
'shfl_i32',
'shfl_up_i32',
'shfl_down_i32',
'match_any',
'match_all',
'active_mask',
'sync',
]
| 22.833333
| 79
| 0.601614
| 347
| 2,603
| 4.146974
| 0.135447
| 0.058374
| 0.108409
| 0.100069
| 0.781098
| 0.76025
| 0.76025
| 0.76025
| 0.750521
| 0.750521
| 0
| 0.035418
| 0.305801
| 2,603
| 113
| 80
| 23.035398
| 0.76093
| 0.075682
| 0
| 0.452055
| 0
| 0
| 0.113152
| 0.036326
| 0
| 0
| 0
| 0.00885
| 0
| 1
| 0.191781
| false
| 0.068493
| 0.027397
| 0.123288
| 0.342466
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
|
0
| 7
|
07299889be07d6f0bad9846a46ebe318c7678da6
| 18,409
|
py
|
Python
|
FirstPersonDriver/__init__.py
|
juso40/bl2sdk_Mods
|
6c4a358b6cd2cb73e4feadcfc197c98eb6632396
|
[
"MIT"
] | 16
|
2019-12-10T23:11:32.000Z
|
2022-03-05T17:45:09.000Z
|
FirstPersonDriver/__init__.py
|
juso40/bl2sdk_Mods
|
6c4a358b6cd2cb73e4feadcfc197c98eb6632396
|
[
"MIT"
] | 9
|
2021-01-07T11:17:58.000Z
|
2022-03-31T11:18:13.000Z
|
FirstPersonDriver/__init__.py
|
juso40/bl2sdk_Mods
|
6c4a358b6cd2cb73e4feadcfc197c98eb6632396
|
[
"MIT"
] | 35
|
2019-09-13T23:46:45.000Z
|
2022-03-05T17:45:11.000Z
|
import unrealsdk
from unrealsdk import *
from . import bl2tools
from ..ModMenu import EnabledSaveType, Hook, KeybindManager, ModTypes, SDKMod
class FPDriver(SDKMod):
Name = "First Person Driver"
Version = "2.0"
Description = f"Experience all vehicles in first person. Toggle between 3rd and 1st person using by default '5'."
Author = "Juso"
Types = ModTypes.Gameplay
SaveEnabledState = EnabledSaveType.LoadOnMainMenu
def __init__(self):
self.is_first_person = True
self.Keybinds = [KeybindManager.Keybind("Driver Cam", "Five")]
self.settings = {
"mercenary": {"GD_Runner_Streaming.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -20",
"CameraPitchUpOffset 50",
"BaseCameraPosition (Z=65)",
"bScaleDistanceWithSpeed False",
],
"GD_BanditTechnical.CameraDefs.Camera_DriverSeat": ["CameraPitchDownOffset -10",
"BaseCameraPosition (X=-1,Y=0,Z=70)",
"CameraPitchUpOffset 50",
"CameraOffset 0",
"bScaleDistanceWithSpeed False",
],
"GD_Sage_FanBoat.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -50",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=15,Y=-3,Z=60)",
"bScaleDistanceWithSpeed False",
],
"GD_Orchid_Hovercraft.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=10,Y=0,Z=75)",
"bScaleDistanceWithSpeed False",
]},
"assassin": {"GD_Runner_Streaming.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -20",
"CameraPitchUpOffset 50",
"BaseCameraPosition (Z=65)",
"bScaleDistanceWithSpeed False",
],
"GD_BanditTechnical.CameraDefs.Camera_DriverSeat": ["CameraPitchDownOffset -10",
"BaseCameraPosition (X=-1,Y=0,Z=70)",
"CameraPitchUpOffset 50",
"CameraOffset 0",
"bScaleDistanceWithSpeed False",
],
"GD_Sage_FanBoat.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -50",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=15,Y=-3,Z=60)",
"bScaleDistanceWithSpeed False",
],
"GD_Orchid_Hovercraft.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=10,Y=0,Z=75)",
"bScaleDistanceWithSpeed False",
]},
"lilac": {"GD_Runner_Streaming.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -20",
"CameraPitchUpOffset 50",
"BaseCameraPosition (Z=65)",
"bScaleDistanceWithSpeed False",
],
"GD_BanditTechnical.CameraDefs.Camera_DriverSeat": ["CameraPitchDownOffset -10",
"BaseCameraPosition (X=-1,Y=0,Z=70)",
"CameraPitchUpOffset 50",
"CameraOffset 0",
"bScaleDistanceWithSpeed False",
],
"GD_Sage_FanBoat.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -50",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=15,Y=-3,Z=60)",
"bScaleDistanceWithSpeed False",
],
"GD_Orchid_Hovercraft.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=10,Y=0,Z=75)",
"bScaleDistanceWithSpeed False",
]},
"siren": {"GD_Runner_Streaming.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -20",
"CameraPitchUpOffset 50",
"BaseCameraPosition (Z=65)",
"bScaleDistanceWithSpeed False",
],
"GD_BanditTechnical.CameraDefs.Camera_DriverSeat": ["CameraPitchDownOffset -10",
"BaseCameraPosition (X=-1,Y=0,Z=70)",
"CameraPitchUpOffset 50",
"CameraOffset 0",
"bScaleDistanceWithSpeed False", ],
"GD_Sage_FanBoat.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -50",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=15,Y=-3,Z=60)",
"bScaleDistanceWithSpeed False",
],
"GD_Orchid_Hovercraft.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=10,Y=0,Z=80)",
"bScaleDistanceWithSpeed False",
]},
"soldier": {"GD_Runner_Streaming.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -20",
"CameraPitchUpOffset 50",
"BaseCameraPosition (Z=65)",
"bScaleDistanceWithSpeed False",
],
"GD_BanditTechnical.CameraDefs.Camera_DriverSeat": ["CameraPitchDownOffset -10",
"BaseCameraPosition (X=-1,Y=0,Z=70)",
"CameraPitchUpOffset 50",
"CameraOffset 0",
"bScaleDistanceWithSpeed False",
],
"GD_Sage_FanBoat.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -50",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=15,Y=-3,Z=60)",
"bScaleDistanceWithSpeed False",
],
"GD_Orchid_Hovercraft.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=10,Y=0,Z=75)",
"bScaleDistanceWithSpeed False",
]},
"tulip": {"GD_Runner_Streaming.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -20",
"CameraPitchUpOffset 50",
"BaseCameraPosition (Z=65)",
"bScaleDistanceWithSpeed False",
],
"GD_BanditTechnical.CameraDefs.Camera_DriverSeat": ["CameraPitchDownOffset -10",
"BaseCameraPosition (X=-1,Y=0,Z=70)",
"CameraPitchUpOffset 50",
"CameraOffset 0",
"bScaleDistanceWithSpeed False",
],
"GD_Sage_FanBoat.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset -50",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=15,Y=-3,Z=60)",
"bScaleDistanceWithSpeed False",
],
"GD_Orchid_Hovercraft.CameraDefs.Camera_DriverSeat": ["CameraOffset 0",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset 45",
"BaseCameraPosition (X=10,Y=0,Z=75)",
"bScaleDistanceWithSpeed False",
]},
"default": {"GD_Runner_Streaming.CameraDefs.Camera_DriverSeat": ["CameraOffset -800",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset 0",
"BaseCameraPosition (Z=200)",
"bScaleDistanceWithSpeed True",
],
"GD_BanditTechnical.CameraDefs.Camera_DriverSeat": ["CameraPitchDownOffset 0",
"BaseCameraPosition (X=40,Y=0,Z=300)",
"CameraPitchUpOffset 100",
"CameraOffset -1300",
"bScaleDistanceWithSpeed True",
],
"GD_Sage_FanBoat.CameraDefs.Camera_DriverSeat": ["CameraOffset -1100",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset -250",
"BaseCameraPosition (X=0,Y=0,Z=300)",
"bScaleDistanceWithSpeed True",
],
"GD_Orchid_Hovercraft.CameraDefs.Camera_DriverSeat": ["CameraOffset -1100",
"CameraPitchDownOffset 0",
"CameraPitchUpOffset -250",
"BaseCameraPosition (X=0,Y=0,Z=300)",
"bScaleDistanceWithSpeed True",
]}
}
@Hook("WillowGame.VehicleSpawnStationTerminal.UnlockForOtherUsers")
def EndLoad(self, caller: unrealsdk.UObject, function: unrealsdk.UFunction, params: unrealsdk.FStruct) -> bool:
self.calc_driver_cam()
return True
def GameInputPressed(self, bind: KeybindManager.Keybind):
if bind.Name == "Driver Cam":
self.is_first_person = not self.is_first_person
self.calc_driver_cam()
def calc_driver_cam(self):
pc = bl2tools.get_player_controller()
if pc and pc.Pawn:
vh = bl2tools.get_obj_path_name(pc.CharacterClass).lower()
if not self.is_first_person:
vh = "default"
for char, data in self.settings.items():
if char not in vh:
continue
for cam, attrs in data.items():
if not unrealsdk.FindObject("PassengerCameraDefinition", cam):
continue
for att in attrs:
bl2tools.console_command(f"set {cam} {att}")
unrealsdk.RegisterMod(FPDriver())
| 83.298643
| 117
| 0.296485
| 748
| 18,409
| 7.161765
| 0.181818
| 0.083629
| 0.135897
| 0.148964
| 0.7605
| 0.753033
| 0.741086
| 0.725033
| 0.725033
| 0.725033
| 0
| 0.041134
| 0.647401
| 18,409
| 220
| 118
| 83.677273
| 0.784163
| 0
| 0
| 0.742718
| 0
| 0
| 0.272964
| 0.142919
| 0
| 0
| 0
| 0
| 0
| 1
| 0.019417
| false
| 0.004854
| 0.019417
| 0
| 0.07767
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
075e89a339167cf61754d0c2c9247a3e72efb366
| 11,965
|
py
|
Python
|
ctpbee/data_handle/generator.py
|
tbmilk/ctpbee
|
03f32493962578612e1116b84443a0e351cbc8d8
|
[
"MIT"
] | null | null | null |
ctpbee/data_handle/generator.py
|
tbmilk/ctpbee
|
03f32493962578612e1116b84443a0e351cbc8d8
|
[
"MIT"
] | null | null | null |
ctpbee/data_handle/generator.py
|
tbmilk/ctpbee
|
03f32493962578612e1116b84443a0e351cbc8d8
|
[
"MIT"
] | null | null | null |
# encoding: UTF-8
from copy import deepcopy
from typing import Iterable, Callable
from pandas._typing import FuncType
from ctpbee.signals import common_signals
from ctpbee.constant import BarData, TickData, EVENT_BAR
from ctpbee.constant import Event
class DataGenerator:
def __init__(self, app):
self.app = app
self.XMIN = app.config.get("XMIN")
self.last_entity: {int: None} = {x: None for x in self.XMIN}
self.last_datetime = {x: None for x in self.XMIN}
def update_tick(self, tick: TickData):
bar = self.resample(tick)
for x in bar:
event = Event(type=EVENT_BAR, data=x)
common_signals.bar_signal.send(event)
def resample(self, tick_data: TickData) -> BarData or None:
data = []
for frq, last in self.last_entity.items():
if last is None:
self.last_entity[frq] = BarData(
datetime=tick_data.datetime,
high_price=tick_data.last_price,
low_price=tick_data.last_price,
close_price=tick_data.last_price,
open_price=tick_data.last_price,
interval=frq,
volume=0,
first_volume=tick_data.volume,
local_symbol=tick_data.local_symbol,
)
self.last_datetime[frq] = tick_data.datetime
else:
if frq != 1 and tick_data.datetime.minute % frq == 0 and abs(
(tick_data.datetime - self.last_datetime[frq]).seconds) >= 60:
temp = deepcopy(last)
if self.check_tick(tick_data):
temp.high_price = max(temp.high_price, tick_data.last_price)
temp.low_price = min(temp.high_price, tick_data.last_price)
temp.close_price = tick_data.last_price
temp.volume += max(tick_data.volume - temp.first_volume, 0)
self.last_entity[frq] = None
else:
self.last_entity[frq] = BarData(
datetime=tick_data.datetime,
high_price=tick_data.last_price,
low_price=tick_data.last_price,
close_price=tick_data.last_price,
open_price=tick_data.last_price,
interval=frq,
volume=0,
first_volume=tick_data.volume,
local_symbol=tick_data.local_symbol
)
self.last_datetime[frq] = tick_data.datetime
data.append(temp)
elif frq != 1:
self.last_entity[frq].high_price = max(self.last_entity[frq].high_price, tick_data.last_price)
self.last_entity[frq].low_price = min(self.last_entity[frq].low_price, tick_data.last_price)
self.last_entity[frq].close_price = tick_data.last_price
self.last_entity[frq].volume += max(tick_data.volume - self.last_entity[frq].first_volume, 0)
self.last_entity[frq].first_volume = tick_data.volume
# 处理一分钟的k线
if frq == 1 and tick_data.datetime.second == 0 and \
abs((tick_data.datetime - self.last_datetime[frq]).seconds) > 10:
temp = deepcopy(last)
if self.check_tick(tick_data):
temp.high_price = max(temp.high_price, tick_data.last_price)
temp.low_price = min(temp.high_price, tick_data.last_price)
temp.close_price = tick_data.last_price
temp.volume += max(tick_data.volume - temp.first_volume, 0)
self.last_entity[frq] = None
else:
self.last_entity[frq] = BarData(
datetime=tick_data.datetime,
high_price=tick_data.last_price,
low_price=tick_data.last_price,
close_price=tick_data.last_price,
open_price=tick_data.last_price,
interval=frq,
volume=0,
first_volume=tick_data.volume,
local_symbol=tick_data.local_symbol
)
self.last_datetime[frq] = tick_data.datetime
data.append(temp)
elif frq == 1:
self.last_entity[frq].high_price = max(self.last_entity[frq].high_price, tick_data.last_price)
self.last_entity[frq].low_price = min(self.last_entity[frq].low_price, tick_data.last_price)
self.last_entity[frq].close_price = tick_data.last_price
self.last_entity[frq].volume += max(tick_data.volume - self.last_entity[frq].first_volume, 0)
self.last_entity[frq].first_volume = tick_data.volume
return data
@staticmethod
def check_tick(T: TickData):
if (T.datetime.hour == 10 and T.datetime.minute == 15) or \
(T.datetime.hour == 11 and T.datetime.minute == 30) or \
(T.datetime.hour == 15 and T.datetime.minute == 0) or \
(T.datetime.hour == 23 and T.datetime.minute == 0):
return True
return False
def __del__(self):
for x in self.last_entity.values():
event = Event(type=EVENT_BAR, data=x)
common_signals.bar_signal.send(event)
self.last_entity.clear()
class HighKlineSupporter:
def __init__(self, code: str, callback: Callable, interval: Iterable, data: dict):
assert code in data.keys()
assert data[code].get("time") is not None
if not isinstance(callback, Callable):
raise TypeError("callable should be a function")
self.callback = callback
self.code = code
self.last_entity: {int: None} = {x: None for x in interval}
self.last_datetime = {x: None for x in interval}
self._data = data
def update_tick(self, tick: TickData):
bar = self.resample(tick)
for x in bar:
self.callback(x)
def resample(self, tick_data: TickData) -> BarData or None:
data = []
for frq, last in self.last_entity.items():
if last is None:
self.last_entity[frq] = BarData(
datetime=tick_data.datetime,
high_price=tick_data.last_price,
low_price=tick_data.last_price,
close_price=tick_data.last_price,
open_price=tick_data.last_price,
interval=frq,
volume=0,
first_volume=tick_data.volume,
local_symbol=tick_data.local_symbol,
)
self.last_datetime[frq] = tick_data.datetime
else:
if frq != 1 and tick_data.datetime.minute % frq == 0 and abs(
(tick_data.datetime - self.last_datetime[frq]).seconds) >= 60:
temp = deepcopy(last)
if self.check_tick(tick_data):
temp.high_price = max(temp.high_price, tick_data.last_price)
temp.low_price = min(temp.high_price, tick_data.last_price)
temp.close_price = tick_data.last_price
temp.volume += max(tick_data.volume - temp.first_volume, 0)
self.last_entity[frq] = None
else:
self.last_entity[frq] = BarData(
datetime=tick_data.datetime,
high_price=tick_data.last_price,
low_price=tick_data.last_price,
close_price=tick_data.last_price,
open_price=tick_data.last_price,
interval=frq,
volume=0,
first_volume=tick_data.volume,
local_symbol=tick_data.local_symbol
)
self.last_datetime[frq] = tick_data.datetime
data.append(temp)
elif frq != 1:
self.last_entity[frq].high_price = max(self.last_entity[frq].high_price, tick_data.last_price)
self.last_entity[frq].low_price = min(self.last_entity[frq].low_price, tick_data.last_price)
self.last_entity[frq].close_price = tick_data.last_price
self.last_entity[frq].volume += max(tick_data.volume - self.last_entity[frq].first_volume, 0)
self.last_entity[frq].first_volume = tick_data.volume
# 处理一分钟的k线
if frq == 1 and tick_data.datetime.second == 0 and \
abs((tick_data.datetime - self.last_datetime[frq]).seconds) > 10:
temp = deepcopy(last)
if self.check_tick(tick_data):
temp.high_price = max(temp.high_price, tick_data.last_price)
temp.low_price = min(temp.high_price, tick_data.last_price)
temp.close_price = tick_data.last_price
temp.volume += max(tick_data.volume - temp.first_volume, 0)
self.last_entity[frq] = None
else:
self.last_entity[frq] = BarData(
datetime=tick_data.datetime,
high_price=tick_data.last_price,
low_price=tick_data.last_price,
close_price=tick_data.last_price,
open_price=tick_data.last_price,
interval=frq,
volume=0,
first_volume=tick_data.volume,
local_symbol=tick_data.local_symbol
)
self.last_datetime[frq] = tick_data.datetime
data.append(temp)
elif frq == 1:
self.last_entity[frq].high_price = max(self.last_entity[frq].high_price, tick_data.last_price)
self.last_entity[frq].low_price = min(self.last_entity[frq].low_price, tick_data.last_price)
self.last_entity[frq].close_price = tick_data.last_price
self.last_entity[frq].volume += max(tick_data.volume - self.last_entity[frq].first_volume, 0)
self.last_entity[frq].first_volume = tick_data.volume
return data
def __del__(self):
self.last_entity.clear()
def check_tick(self, T: TickData):
h = self._data[self.code]["time"].get("night")
if h is not None:
""" 处理夜盘 """
hour, minute, second = [int(x) for x in h[0][-1].split(":")]
if hour >= 24:
hour = hour - 24
if (T.datetime.hour == 10 and T.datetime.minute == 15) or \
(T.datetime.hour == 11 and T.datetime.minute == 30) or \
(T.datetime.hour == 15 and T.datetime.minute == 0) or \
(T.datetime.hour == hour and T.datetime.minute == minute): # make night kline true
return True
else:
""" 处理白天 """
if (T.datetime.hour == 10 and T.datetime.minute == 15) or \
(T.datetime.hour == 11 and T.datetime.minute == 30) or \
(T.datetime.hour == 15 and T.datetime.minute == 0):
return True
return False
| 50.273109
| 114
| 0.525366
| 1,368
| 11,965
| 4.349415
| 0.082602
| 0.131765
| 0.115294
| 0.137143
| 0.86
| 0.86
| 0.86
| 0.85395
| 0.844874
| 0.834622
| 0
| 0.010493
| 0.386711
| 11,965
| 237
| 115
| 50.485232
| 0.800354
| 0.004597
| 0
| 0.805556
| 0
| 0
| 0.003956
| 0
| 0
| 0
| 0
| 0
| 0.009259
| 1
| 0.046296
| false
| 0
| 0.027778
| 0
| 0.115741
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ab375f6c1611ce3c3660591e4ec881a2bc3e601d
| 9,765
|
py
|
Python
|
tests/test_required_types.py
|
hunter-packages/fruit
|
71d9ada48f7bf1749ce2889250955404582a7c6b
|
[
"Apache-2.0"
] | 1
|
2018-08-29T11:10:35.000Z
|
2018-08-29T11:10:35.000Z
|
tests/test_required_types.py
|
hunter-packages/fruit
|
71d9ada48f7bf1749ce2889250955404582a7c6b
|
[
"Apache-2.0"
] | 1
|
2018-08-29T11:29:53.000Z
|
2018-08-29T11:29:53.000Z
|
tests/test_required_types.py
|
hunter-packages/fruit
|
71d9ada48f7bf1749ce2889250955404582a7c6b
|
[
"Apache-2.0"
] | 2
|
2020-10-01T04:19:30.000Z
|
2021-07-01T07:50:22.000Z
|
#!/usr/bin/env python3
# Copyright 2016 Google Inc. 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.
from fruit_test_common import *
COMMON_DEFINITIONS = '''
#include "test_common.h"
struct X;
struct Annotation1 {};
using XAnnot1 = fruit::Annotated<Annotation1, X>;
'''
def test_required_success():
source = '''
struct X {
virtual void foo() = 0;
virtual ~X() = default;
};
using XFactory = std::function<std::unique_ptr<X>()>;
struct Y {
XFactory xFactory;
INJECT(Y(XFactory xFactory))
: xFactory(xFactory) {
}
void doStuff() {
xFactory()->foo();
}
};
fruit::Component<fruit::Required<XFactory>, Y> getYComponent() {
return fruit::createComponent();
}
struct XImpl : public X {
INJECT(XImpl()) = default;
void foo() override {}
};
fruit::Component<XFactory> getXFactoryComponent() {
return fruit::createComponent()
.bind<X, XImpl>();
}
fruit::Component<Y> getComponent() {
return fruit::createComponent()
.install(getYComponent)
.install(getXFactoryComponent);
}
int main() {
fruit::Injector<Y> injector(getComponent);
Y* y(injector);
y->doStuff();
}
'''
expect_success(COMMON_DEFINITIONS, source)
def test_required_annotated_success():
source = '''
struct X {
virtual void foo() = 0;
virtual ~X() = default;
};
using XFactory = std::function<std::unique_ptr<X>()>;
using XFactoryAnnot = fruit::Annotated<Annotation1, XFactory>;
struct Y {
XFactory xFactory;
INJECT(Y(ANNOTATED(Annotation1, XFactory) xFactory))
: xFactory(xFactory) {
}
void doStuff() {
xFactory()->foo();
}
};
fruit::Component<fruit::Required<XFactoryAnnot>, Y> getYComponent() {
return fruit::createComponent();
}
struct XImpl : public X {
INJECT(XImpl()) = default;
void foo() override {}
};
fruit::Component<XFactoryAnnot> getXFactoryComponent() {
return fruit::createComponent()
.bind<fruit::Annotated<Annotation1, X>, fruit::Annotated<Annotation1, XImpl>>();
}
fruit::Component<Y> getComponent() {
return fruit::createComponent()
.install(getYComponent)
.install(getXFactoryComponent);
}
int main() {
fruit::Injector<Y> injector(getComponent);
Y* y(injector);
y->doStuff();
}
'''
expect_success(COMMON_DEFINITIONS, source)
def test_required_forward_declared_success():
source = '''
struct X;
using XFactory = std::function<std::unique_ptr<X>()>;
struct Y {
XFactory xFactory;
INJECT(Y(XFactory xFactory))
: xFactory(xFactory) {
}
void doStuff();
};
fruit::Component<fruit::Required<XFactory>, Y> getYComponent() {
return fruit::createComponent();
}
fruit::Component<XFactory> getXFactoryComponent();
fruit::Component<Y> getComponent() {
return fruit::createComponent()
.install(getYComponent)
.install(getXFactoryComponent);
}
int main() {
fruit::Injector<Y> injector(getComponent);
Y* y(injector);
y->doStuff();
}
// We define X as late as possible, to make sure that all the above compiles even if X is only forward-declared.
struct X {
virtual void foo() = 0;
virtual ~X() = default;
};
void Y::doStuff() {
xFactory()->foo();
}
struct XImpl : public X {
INJECT(XImpl()) = default;
void foo() override {}
};
fruit::Component<XFactory> getXFactoryComponent() {
return fruit::createComponent()
.bind<X, XImpl>();
}
'''
expect_success(COMMON_DEFINITIONS, source)
def test_required_annotated_forward_declared_success():
source = '''
struct X;
using XFactory = std::function<std::unique_ptr<X>()>;
using XFactoryAnnot = fruit::Annotated<Annotation1, XFactory>;
struct Y {
XFactory xFactory;
INJECT(Y(ANNOTATED(Annotation1, XFactory) xFactory))
: xFactory(xFactory) {
}
void doStuff();
};
fruit::Component<fruit::Required<XFactoryAnnot>, Y> getYComponent() {
return fruit::createComponent();
}
fruit::Component<XFactoryAnnot> getXFactoryComponent();
fruit::Component<Y> getComponent() {
return fruit::createComponent()
.install(getYComponent)
.install(getXFactoryComponent);
}
int main() {
fruit::Injector<Y> injector(getComponent);
Y* y(injector);
y->doStuff();
}
// We define X as late as possible, to make sure that all the above compiles even if X is only forward-declared.
struct X {
virtual void foo() = 0;
virtual ~X() = default;
};
void Y::doStuff() {
xFactory()->foo();
}
struct XImpl : public X {
INJECT(XImpl()) = default;
void foo() override {}
};
fruit::Component<XFactoryAnnot> getXFactoryComponent() {
return fruit::createComponent()
.bind<fruit::Annotated<Annotation1, X>, fruit::Annotated<Annotation1, XImpl>>();
}
'''
expect_success(COMMON_DEFINITIONS, source)
def test_required_const_forward_declared_success():
source = '''
struct X;
using XFactory = std::function<std::unique_ptr<X>()>;
struct Y {
XFactory xFactory;
INJECT(Y(XFactory xFactory))
: xFactory(xFactory) {
}
void doStuff();
};
fruit::Component<fruit::Required<const XFactory>, Y> getYComponent() {
return fruit::createComponent();
}
fruit::Component<const XFactory> getXFactoryComponent();
fruit::Component<Y> getComponent() {
return fruit::createComponent()
.install(getYComponent)
.install(getXFactoryComponent);
}
int main() {
fruit::Injector<Y> injector(getComponent);
Y* y(injector);
y->doStuff();
}
// We define X as late as possible, to make sure that all the above compiles even if X is only forward-declared.
struct X {
virtual void foo() = 0;
virtual ~X() = default;
};
void Y::doStuff() {
xFactory()->foo();
}
struct XImpl : public X {
INJECT(XImpl()) = default;
void foo() override {}
};
fruit::Component<const XFactory> getXFactoryComponent() {
return fruit::createComponent()
.bind<X, XImpl>();
}
'''
expect_success(COMMON_DEFINITIONS, source)
def test_required_const_annotated_forward_declared_success():
source = '''
struct X;
using XFactory = std::function<std::unique_ptr<X>()>;
using ConstXFactoryAnnot = fruit::Annotated<Annotation1, const XFactory>;
struct Y {
XFactory xFactory;
INJECT(Y(ANNOTATED(Annotation1, XFactory) xFactory))
: xFactory(xFactory) {
}
void doStuff();
};
fruit::Component<fruit::Required<ConstXFactoryAnnot>, Y> getYComponent() {
return fruit::createComponent();
}
fruit::Component<ConstXFactoryAnnot> getXFactoryComponent();
fruit::Component<Y> getComponent() {
return fruit::createComponent()
.install(getYComponent)
.install(getXFactoryComponent);
}
int main() {
fruit::Injector<Y> injector(getComponent);
Y* y(injector);
y->doStuff();
}
// We define X as late as possible, to make sure that all the above compiles even if X is only forward-declared.
struct X {
virtual void foo() = 0;
virtual ~X() = default;
};
void Y::doStuff() {
xFactory()->foo();
}
struct XImpl : public X {
INJECT(XImpl()) = default;
void foo() override {}
};
fruit::Component<ConstXFactoryAnnot> getXFactoryComponent() {
return fruit::createComponent()
.bind<fruit::Annotated<Annotation1, X>, fruit::Annotated<Annotation1, XImpl>>();
}
'''
expect_success(COMMON_DEFINITIONS, source)
if __name__== '__main__':
main(__file__)
| 32.121711
| 120
| 0.543574
| 870
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| 0.073157
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| 0.826824
| 0
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0
| 8
|
ab4efb56d781e1820a417347df39c95f5a12674f
| 9,976
|
py
|
Python
|
python/reduction/definitions.py
|
apaszke/iree-llvm-sandbox
|
cf04a17076c0d842f47adb655998929ad7ccbd43
|
[
"Apache-2.0"
] | null | null | null |
python/reduction/definitions.py
|
apaszke/iree-llvm-sandbox
|
cf04a17076c0d842f47adb655998929ad7ccbd43
|
[
"Apache-2.0"
] | null | null | null |
python/reduction/definitions.py
|
apaszke/iree-llvm-sandbox
|
cf04a17076c0d842f47adb655998929ad7ccbd43
|
[
"Apache-2.0"
] | null | null | null |
import sys, time
from typing import Any, List, Mapping, Optional, Sequence
import numpy as np
from mlir.ir import *
from mlir.dialects import arith, builtin, linalg, scf, std
from mlir.dialects.linalg.opdsl.lang import *
from ..core.compilation import attach_inplaceable_attributes, attach_passthrough
from ..core.problem_definition import *
from ..core.utils import *
# TODO: Orthogonal configuration object.
avx512 = True
################################################################################
### Row Reduction 2D
################################################################################
# Op def: ( m, k )
# Iters: ({Par(), Red()})
# I O
# Layout: {{m, k}, {m}}
# TODO: fold OpDSL definition and inferences into ProblemDefinition.
@linalg_structured_op
def row_reduction_2d(
A=TensorDef(T, S.M, S.N), B=TensorDef(T, S.M, output=True)):
domain(D.m, D.n)
B[D.m] += A[D.m, D.n]
class RowReduction2DProblem(ProblemDefinition):
""" Problem definition for a single fill + row_reduction_2d problem."""
def shapes_builder(self, sizes: Mapping[str, Any]) -> List[List[int]]:
"""Shape builder function.
Given a mapping between dimension names / op attributes and their numeric
values, return the list of lists of shapes of the FuncOp operands. The
FuncOp is responsible for distinguishing between input operands and
results.
"""
M, K = sizes["M"], sizes["K"]
return [[M, K], [M]]
def gflop_count_builder(self, sizes: Mapping[str, Any]) -> float:
"""GFlop builder function.
Given a mapping between dimension names / op attributes and their numeric
values, return the number of GFlops computed.
"""
M, K = sizes["M"], sizes["K"]
return float(M * K) / float(1e9)
def gbyte_count_builder(self, sizes: Mapping[str, Any],
types: Sequence[np.dtype]) -> float:
"""GByte builder function.
Given a mapping between dimension names / op attributes and their numeric
values, and a list of data types, return the number of GBytes read or
written.
"""
M, K = sizes["M"], sizes["K"]
inp_np_type, out_np_type = types
return float(M * K * np.dtype(inp_np_type).itemsize +
M * np.dtype(out_np_type).itemsize) / float(1e9)
def tensors_np_builder(self, sizes: Mapping[str, Any],
types: Sequence[np.dtype]) -> List[np.dtype]:
"""NumPy tensors building function.
Given a mapping between dimension names / op attributes and their numeric
values, and a list of NumPy elemental types, return constructed NP values
of shapes given by `shape_builder` and specified elemental types.
"""
shapes = self.shapes_builder(sizes)
tensors = [
realign(np.random.rand(*s).astype(t), byte_alignment=64)
for s, t in zip(shapes, types)
]
# Uncomment to simplify debugging.
# tensors = [
# realign(np.arange(1, np.prod(s) + 1).reshape(s).astype(t), \
# byte_alignment=64) \
# for s, t in zip(shapes, types)
# ]
tensors[len(tensors) - 1].fill(0.)
return tensors
def check_np(self, A: np.dtype, B: np.dtype) -> None:
"""NumPy checking function.
Given a list of NumPy values, check the precomputed results matches those
of the expected reference implementation.
"""
if not np.allclose(B, np.sum(A, axis=1)):
delta = B - np.sum(A, axis=1)
max_abs_delta = max(delta.max(), delta.min(), key=abs)
raise Exception(f"max_abs_delta: {max_abs_delta} -> FAILURE ")
def types_mlir_builder(self, sizes: Mapping[str, Any],
types: Sequence[Type]) -> List[Type]:
""" MLIR types builder.
Given a mapping between dimension names / op attributes and their
numeric values, and a list of elemental MLIR types, return MLIR tensor
types of the shape expected by the function.
"""
shapes = self.shapes_builder(sizes)
return [RankedTensorType.get(s, t) for s, t in zip(shapes, types)]
def build_problem_under_context_manager(
self, name: str, types: Sequence[Type]) -> builtin.FuncOp:
"""MLIR problem builder.
Given a list of MLIR shaped types, build and return the MLIR FuncOp that
implements the desired computation on those types.
"""
global avx512
# Actual benchmarked function called under entry_point_name.
func = builtin.FuncOp(name, (types, types[-1:]))
# TODO: need something much more flexible to add func argument attributes.
attach_inplaceable_attributes(func, inplaceable=[False, True])
attach_passthrough(func, [StringAttr.get('noinline')], avx512=avx512)
output_elem_type = types[-1].element_type
with InsertionPoint(func.add_entry_block()):
zero = arith.ConstantOp(output_elem_type, 0.0)
tensor_zero = linalg.FillOp(output=func.arguments[1], value=zero)
result = row_reduction_2d(func.arguments[0], outs=[tensor_zero])
# linalg.matmul returns a Value instead of OpView, so we have to manually
# wrap it in a list here.
std.ReturnOp([result])
return func
################################################################################
### Column Reduction 2D
################################################################################
# Op def: ( m, k )
# Iters: ({Red(), Par()})
# I O
# Layout: {{m, k}, {k}}
# TODO: fold OpDSL definition and inferences into ProblemDefinition.
@linalg_structured_op
def column_reduction_2d(
A=TensorDef(T, S.M, S.N), B=TensorDef(T, S.N, output=True)):
domain(D.m, D.n)
B[D.n] += A[D.m, D.n]
class ColumnReduction2DProblem(ProblemDefinition):
""" Problem definition for a single fill + row_reduction_2d problem."""
def shapes_builder(self, sizes: Mapping[str, Any]) -> List[List[int]]:
"""Shape builder function.
Given a mapping between dimension names / op attributes and their numeric
values, return the list of lists of shapes of the FuncOp operands. The
FuncOp is responsible for distinguishing between input operands and
results.
"""
M, K = sizes["M"], sizes["K"]
return [[M, K], [K]]
def gflop_count_builder(self, sizes: Mapping[str, Any]) -> float:
"""GFlop builder function.
Given a mapping between dimension names / op attributes and their numeric
values, return the number of GFlops computed.
"""
M, K = sizes["M"], sizes["K"]
return float(M * K) / float(1e9)
def gbyte_count_builder(self, sizes: Mapping[str, Any],
types: Sequence[np.dtype]) -> float:
"""GByte builder function.
Given a mapping between dimension names / op attributes and their numeric
values, and a list of data types, return the number of GBytes read or
written.
"""
M, K = sizes["M"], sizes["K"]
inp_np_type, out_np_type = types
return float(M * K * np.dtype(inp_np_type).itemsize +
K * np.dtype(out_np_type).itemsize) / float(1e9)
def tensors_np_builder(self, sizes: Mapping[str, Any],
types: Sequence[np.dtype]) -> List[np.dtype]:
"""NumPy tensors building function.
Given a mapping between dimension names / op attributes and their numeric
values, and a list of NumPy elemental types, return constructed NP values
of shapes given by `shape_builder` and specified elemental types.
"""
shapes = self.shapes_builder(sizes)
tensors = [
realign(np.random.rand(*s).astype(t), byte_alignment=64)
for s, t in zip(shapes, types)
]
# Uncomment to simplify debugging.
# tensors = [
# realign(np.arange(1, np.prod(s) + 1).reshape(s).astype(t), \
# byte_alignment=64) \
# for s, t in zip(shapes, types)
# ]
tensors[len(tensors) - 1].fill(0.)
return tensors
def check_np(self, A: np.dtype, B: np.dtype) -> None:
"""NumPy checking function.
Given a list of NumPy values, check the precomputed results matches those
of the expected reference implementation.
"""
if not np.allclose(B, np.sum(A, axis=0)):
delta = B - np.sum(A, axis=0)
max_abs_delta = max(delta.max(), delta.min(), key=abs)
raise Exception(f"max_abs_delta: {max_abs_delta} -> FAILURE ")
def types_mlir_builder(self, sizes: Mapping[str, Any],
types: Sequence[Type]) -> List[Type]:
""" MLIR types builder.
Given a mapping between dimension names / op attributes and their
numeric values, and a list of elemental MLIR types, return MLIR tensor
types of the shape expected by the function.
"""
shapes = self.shapes_builder(sizes)
return [RankedTensorType.get(s, t) for s, t in zip(shapes, types)]
def build_problem_under_context_manager(
self, name: str, types: Sequence[Type]) -> builtin.FuncOp:
"""MLIR problem builder.
Given a list of MLIR shaped types, build and return the MLIR FuncOp that
implements the desired computation on those types.
"""
global avx512
# Actual benchmarked function called under entry_point_name.
func = builtin.FuncOp(name, (types, types[-1:]))
# TODO: need something much more flexible to add func argument attributes.
attach_inplaceable_attributes(func, inplaceable=[False, True])
attach_passthrough(func, [StringAttr.get('noinline')], avx512=avx512)
output_elem_type = types[-1].element_type
with InsertionPoint(func.add_entry_block()):
zero = arith.ConstantOp(output_elem_type, 0.0)
tensor_zero = linalg.FillOp(output=func.arguments[1], value=zero)
result = column_reduction_2d(func.arguments[0], outs=[tensor_zero])
# linalg.matmul returns a Value instead of OpView, so we have to manually
# wrap it in a list here.
std.ReturnOp([result])
return func
| 37.787879
| 80
| 0.633821
| 1,331
| 9,976
| 4.664914
| 0.166041
| 0.005154
| 0.025769
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| false
| 0.027778
| 0.083333
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| 0
| 0
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| 0
| null | 0
| 0
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| 1
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| 1
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| 1
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|
0
| 8
|
db45ddfe3300f3b28b6bf8e3b8df9da72516da3d
| 62,380
|
py
|
Python
|
mms/threshold.py
|
BridgelessAlexQiu/Mask-Disease-Multilayer
|
0ef0137e9d607f6f30c7c4e0b19c4cf833bff35e
|
[
"MIT"
] | null | null | null |
mms/threshold.py
|
BridgelessAlexQiu/Mask-Disease-Multilayer
|
0ef0137e9d607f6f30c7c4e0b19c4cf833bff35e
|
[
"MIT"
] | null | null | null |
mms/threshold.py
|
BridgelessAlexQiu/Mask-Disease-Multilayer
|
0ef0137e9d607f6f30c7c4e0b19c4cf833bff35e
|
[
"MIT"
] | null | null | null |
"""
Author: Zirou Qiu
Last modfied: 10/31/2020
Description:
This module consists of simulations of the spread of multiple
contigions on a single network under the threshold model.
"""
#--------------------------- Imports ------------------------------#
import numpy as np
import mms.utility as mu
from scipy import sparse
#----------------------- Funciton Defintions ----------------------#
def isolate_threshold_count(A, B, T, k, r = 0):
"""
Description
-----------
This function simulate the spread of multiple contigions on a single network
where each contagion has 2 states (0 or 1).
Contagions are not interrelated.
Parameters
----------
A: scipy array, int {0, 1}
The adjacency matrix of G.
A is sparse
B: scipy array, int {0, 1}
The initial configuration matrix where $B_{vj}$ is the state value of
vertex v for contagion j.
B is sparse
T: numpy array, int
The threshold matrix where $T_{vj}$ is the threshold of vertex v for
contagion j.
k: int
The number of system iterations
r: float, optional
The recovery probability. In each iteration, each vertex has a probability
r changing the state to 0 for each contigion.
Returns
-------
B: numpy array
The final configuration
"""
# Make all 1s along the diagonal of A (since we are considering the closed neighborhood)
#np.fill_diagonal(A, 1)
# The recovery probability
recovery = False
if r != 0:
recovery = True
# The main loop
for i in range(k):
# matrix operation
B_last = B
B = A @ B - T #B = np.matmul(A, B_last) - T
# update states
B[B >= 0] = 1
B[B < 0] = 0
# If a recovery probability is set
if recovery:
B[np.random.rand(*B.shape) < r] = 0
# if fixed point
if np.array_equal(B, B_last):
print("A fixed point is reached at iteration {}".format(i))
return B
print("Max number of iteratios reached")
return B
###########################################################################################
def correlate_threshold_weight(A, B, T, W, k, r = 0):
"""
Description
-----------
This function simulate the spread of multiple contigions on a single network
where each contagion has 2 states (0 or 1).
Contagions are interrelated as described by the thrid model.
Parameters
----------
A: numpy array, int {0, 1}
The adjacency matrix of G.
A is sparse
B: numpy array, int {0, 1}
The initial configuration matrix where $B_{vj}$ is the state value of
vertex v for contagion j.
B is sparse
T: numpy array, int
The threshold matrix where $T_{vj}$ is the threshold of vertex v for
contagion j.
W: numpy array, float [0, 1]
The weight matrix where $W_{ij}$ is the weight of contagion j w.r.t
contagion i
k: int
The number of system iterations
r: float, optional
The recovery probability. In each iteration, each vertex has a probability
r changing the state to 0 for each contigion.
Returns
-------
B: numpy array
The final configuration
"""
# Make all 1s along the diagonal of A (since we are considering the closed neighborhood)
#A.setdiag(1)
# The recovery probability
recovery = False
if r != 0:
recovery = True
# Take the transpose of the weight matrix
W = np.transpose(W)
# The main loop
for i in range(k):
# matrix operation
B_last = B
#B = np.linalg.multi_dot([A, B_last, W]) - T
B = A @ B_last @ W - T
# update states
B[B >= 0] = 1
B[B < 0] = 0
# If a recovery probability is set
if recovery:
B[np.random.rand(*B.shape) < r] = 0
# if fixed point
if np.array_equal(B, B_last):
print("A fixed point is reached at iteration {}".format(i))
return B
#h = hpy()
#print(h.heap())
print("Max number of iteratios reached")
return B
def correlate_threshold_density(A, B, T, d, k):
"""
Description
-----------
This function simulate the spread of multiple contigions on a single network
where each contagion has 2 states (0 or 1).
Contagions interrelated as described by the second model.
Parameters
----------
A: numpy array, int {0, 1}
The adjacency matrix of G.
A is sparse
B: numpy array, int {0, 1}
The initial configuration matrix where $B_{vj}$ is the state value of
vertex v for contagion j.
B is sparse
T: numpy array, int
The threshold matrix where $T_{vj}$ is the threshold of vertex v for
contagion j.
d: numpy array, int
The density vector
k: int
The number of system iterations
Returns
-------
B: numpy array
The final configuration
"""
# Compute the reciprocal
d_bar = np.transpose( np.reciprocal(d.astype(float)) ) # Make sure that d is a column vector
# The number of contagions
c = np.shape(T)[1]
# k * 1 ones
one = np.ones((c, 1), dtype = 'float')
# The main loop
for i in range(k):
B_last = B
# Compute M
M = B @ one @ d_bar #M = np.linalg.multi_dot([B, one, d_bar])
M[M >= 1.0] = 1.0
M[M < 1.0] = 0.0
#B = np.matmul(A, M) - T
B = A @ M - T
# update states
B[B >= 0.0] = 1.0
B[B < 0.0] = 0.0
# if fixed point
if np.array_equal(B, B_last):
print("A fixed point is reached at iteration {}".format(i))
return B
print("Max number of iteratios reached")
return B
def covid_mask(A_1, A_2, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac = 0.0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac:
max_frac = a_3
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
# l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
l_2 = F @ b_1_last - t_2 # sparse?
l_2[l_2 >= 0.0] = 1.0
l_2[l_2 < 0.0] = 0.0
# l_2 = (F @ b_1_last) >= t_2 WORTH TRYING!
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
#b_1 = np.logical_or(np.logical_or(a_1, l_2), l_3) WORTH TRYING
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Computer R0 (do this before recovery)
# R_0 = np.count_nonzero(newly_infected) / np.count_nonzero(b_2)
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
# print("A fixed point is reached at iteration {}".format(i))
average_mask = float(total_mask / days)
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
average_mask = float(total_mask / days)
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
def covid_mask_sym_fear(A_1, A_2, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k, sym_ratio):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac = 0.0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac:
max_frac = a_3
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - sym_ratio * a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
# l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
l_2 = F @ b_1_last - t_2 # sparse?
l_2[l_2 >= 0.0] = 1.0
l_2[l_2 < 0.0] = 0.0
# l_2 = (F @ b_1_last) >= t_2 WORTH TRYING!
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
#b_1 = np.logical_or(np.logical_or(a_1, l_2), l_3) WORTH TRYING
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Computer R0 (do this before recovery)
# R_0 = np.count_nonzero(newly_infected) / np.count_nonzero(b_2)
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
# print("A fixed point is reached at iteration {}".format(i))
average_mask = float(total_mask / days)
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
average_mask = float(total_mask / days)
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
def covid_mask_peak_diff(A_1, A_2, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac_1 = 0.0
# The second largest fraction of infection reached throughout the time
max_frac_2 = 0.0
# The time where the largest infection occurs
peak_time_1 = 0
# The time where the second largest infection occurs
peak_time_2 = 0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac_1:
max_frac_2 = max_frac_1
peak_time_2 = peak_time_1
max_frac_1 = a_3
peak_time_1 = i
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
# l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
l_2 = F @ b_1_last - t_2 # sparse?
l_2[l_2 >= 0.0] = 1.0
l_2[l_2 < 0.0] = 0.0
# l_2 = (F @ b_1_last) >= t_2 WORTH TRYING!
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
#b_1 = np.logical_or(np.logical_or(a_1, l_2), l_3) WORTH TRYING
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Computer R0 (do this before recovery)
# R_0 = np.count_nonzero(newly_infected) / np.count_nonzero(b_2)
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
return peak_time
return peak_time
def covid_mask_control(A_1, A_2, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac = 0.0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac:
max_frac = a_3
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
# l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
l_2 = F @ b_1_last - t_2 # sparse?
l_2[l_2 >= 0.0] = 1.0
l_2[l_2 < 0.0] = 0.0
# l_2 = (F @ b_1_last) >= t_2 WORTH TRYING!
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
#b_1 = np.logical_or(np.logical_or(a_1, l_2), l_3) WORTH TRYING
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Computer R0 (do this before recovery)
# R_0 = np.count_nonzero(newly_infected) / np.count_nonzero(b_2)
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The control happens here
if float(np.count_nonzero(b_2) / n) < float(np.count_nonzero(b_2_last) / n):
a_1 = b_1 # Mask wearing people continue to wear masks
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
# print("A fixed point is reached at iteration {}".format(i))
average_mask = float(total_mask / days)
# return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
return infection_vector, mask_vector
average_mask = float(total_mask / days)
#return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
return infection_vector, mask_vector
def covid_mask_prob_social(A_1, A_2, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k, g_peer, g_fear):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Growth rate of the logistic function
g_2 = g_peer
g_3 = g_fear
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac = 0.0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac:
max_frac = a_3
# Fear
# 1 / (1 + e^{-g (a_3 - t_3)})
p_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3
p_3 = -g_3 * p_3
p_3 = one + np.exp(p_3)
p_3 = np.reciprocal(p_3)
p_3 = p_3.flatten()
l_3 = np.reshape(np.random.binomial(1, p_3), (-1 ,1))
# Peer pressure
# 1 / (1 + e^{-g (c - t)})
p_2 = F @ b_1_last - t_2
p_2 = -g_2 * p_2
p_2 = one + np.exp(p_2)
p_2 = np.reciprocal(p_2)
p_2 = p_2.flatten()
l_2 = np.reshape(np.random.binomial(1, p_2), (-1 ,1))
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Computer R0 (do this before recovery)
# R_0 = np.count_nonzero(newly_infected) / np.count_nonzero(b_2)
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
# print("A fixed point is reached at iteration {}".format(i))
average_mask = float(total_mask / days)
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
def covid_mask_habit(A_1, A_2, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k, habit_p):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac = 0.0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# Habit formation step
l_habit = np.random.choice([0, 1], size = (n, 1), p=[1.0 - habit_p, habit_p])
l_habit = np.multiply(l_habit, b_1_last)
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac:
max_frac = a_3
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
# l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
l_2 = F @ b_1_last - t_2 # sparse?
l_2[l_2 >= 0.0] = 1.0
l_2[l_2 < 0.0] = 0.0
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 + l_habit # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Computer R0 (do this before recovery)
# R_0 = np.count_nonzero(newly_infected) / np.count_nonzero(b_2)
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
# print("A fixed point is reached at iteration {}".format(i))
average_mask = float(total_mask / days)
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
def covid_mask_strategy_game(A_1, A_2, D_inverse, a_1, t_2_1, t_2_2, t_3, b_1, b_2, p, alpha, beta, r, k):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac = 0.0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac:
max_frac = a_3
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
# l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
T = F @ b_1_last
l_2_1 = T - t_2_1 # sparse?
l_2_1[l_2_1 >= 0.0] = 1.0
l_2_1[l_2_1 < 0.0] = 0.0
l_2_2 = t_2_2 - T
l_2_2[l_2_2 > 0.0] = 1.0
l_2_2[l_2_2 <= 0.0] = 0.0
l_2 = np.multiply(l_2_1, l_2_2)
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
#b_1 = np.logical_or(np.logical_or(a_1, l_2), l_3) WORTH TRYING
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Computer R0 (do this before recovery)
# R_0 = np.count_nonzero(newly_infected) / np.count_nonzero(b_2)
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
# print("A fixed point is reached at iteration {}".format(i))
average_mask = float(total_mask / days)
# return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
return infection_vector, mask_vector
# return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
return infection_vector, mask_vector
def covid_mask_asymptomatic(A_1, A_2, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k):
"""
Description
-----------
This funciton simulate the spread of two contagions on two different
networks, where contagions are correlated as described in the project
report.
Parameters
----------
A_1: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the social layer
A_2: n x n scipy sparse matrix, int {0, 1}
The adjacency matrix of the disease layer
D_inverse: n x n scipy sparse matrix, float [0, 1]
The inversed diagonal matrix of the social layer.
a_1: n x 1 scipy sparse matrix, int {0, 1}
(a_1)_i = 1 if the person i is prosocial, and (a_1)_i = 0 otherwise.
t_2: n x 1 numpy array, float [0, 1]
(t_2)_i is threshold percentage of neighbors who wear masks for person
i to wear a mask in the next iteration.
t_3: n x 1 numpy array, float [0, 1]
(t_3)_i is the threshold percentage of the overall infection of the population
for person i to wear a mask in the next iteration.
b_1: n x 1 scipy sparse matrix, int {0, 1}
(b_1)_i = 1 if the person i wears a mask at the current iteration.
b_2: n x 1 scipy sparse matrix, int {0, 1}
(b_2)_1 = 1 if the person i is infected by the disease at the current iteration
p: float [0, 1]
Transimission probability of the disease
alpha: The damping factor on p when the person himself wears a mask.
beta: The damping factor on p when a neighbor of a person wears a mask.
r: Recovery probability.
k: The maximum number of time-steps.
"""
# Keep track of the dynamic: {time: [# of masks, # of infections]}
# dynamic = {}
# Compute the degree fraction matrix
F = D_inverse @ A_1
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A_1)[0]
# The one and zero vectors
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The recovery vector: b_3
b_3 = np.zeros((n, 1), dtype = 'float') # Initially, no one has recovered.
# The susceptible vector: b_4
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The largest fraction of infection reached throughout the time
max_frac = 0.0
# The number of days the infection lasts
days = 0
# total number of mask wearings (sum over all days)
total_mask = 0
# mask vector thoughout the time
mask_vector = [] #new
# infection vector
infection_vector = [] #new
# The main loop
for i in range(k):
days += 1
mask_vector.append(float(np.count_nonzero(b_1) / n)) #new
infection_vector.append(float(np.count_nonzero(b_2) / n)) #new
# dynamic[i] = [np.count_nonzero(b_1), np.count_nonzero(b_2), np.count_nonzero(b_3), np.count_nonzero(b_4)]
# need b_1_last to update the state of the second contagion
b_1_last = b_1
b_4_last = b_4
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# Update the max_frac
if a_3 > max_frac:
max_frac = a_3
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
# l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
l_2 = F @ b_1_last - t_2 # sparse?
l_2[l_2 >= 0.0] = 1.0
l_2[l_2 < 0.0] = 0.0
# l_2 = (F @ b_1_last) >= t_2 WORTH TRYING!
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
#b_1 = np.logical_or(np.logical_or(a_1, l_2), l_3) WORTH TRYING
total_mask += np.count_nonzero(b_1)
# The # of infected neighbors of each v
d = A_2 @ b_2_last
# The # of infected neighbors with mask
d_2 = A_2 @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
# Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT: b_1_last vs b_1 (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# probability of asymptomatic: 0.35. probability of self-isolation: 0.9
# probability of asymptomatic: 1 - (0.65 * 0.9) = 0.415
aym = np.random.choice([0, 1], size = (n, 1), p=[1.0 - 0.415, 0.415])
aym = np.multiply(newly_infected, aym)
sym = newly_infected - aym
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_3 = np.logical_and(b_2, rr) + b_3 + sym # update b_3
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = aym + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# A fixed point is reached under zero infection
if np.array_equal(b_2, zero):
# print("A fixed point is reached at iteration {}".format(i))
average_mask = float(total_mask / days)
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
return round(float(np.count_nonzero(b_3) / n), 4), round(max_frac, 4), days, round(float(average_mask / n), 4)
#return infection_vector, mask_vector
# The SIS model, and each node recoverys in exact one day (r = 1)
def two_layer_SIS(A, D_inverse, a_1, t_2, t_3, b_1, b_2, p, alpha, beta, r, k):
# Compute the degree fraction matrix
F = D_inverse @ A
F = sparse.csr_matrix(F)
# The number of vertices
n = np.shape(A)[0]
# The one vector
one = np.ones((n, 1), dtype = 'float')
zero = np.zeros((n, 1), dtype = 'float')
# The initial recovery vector (no one has recovered)
b_3 = np.zeros((n, 1), dtype = 'float')
b_3 = sparse.csr_matrix(b_3)
# The inital susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# The main loop
for i in range(k):
# need b_1__last to Update the state of the second contagion
b_1_last = b_1
# Deteremine if a fixed point is reached, that is everyone has recovered (if r != 0)
b_4_last = b_4
# This can also be used to determine if a fixed point is reached
b_2_last = b_2
# The fraction of total number of infections
a_3 = np.count_nonzero(b_2) / float(n)
# determine if the overall faction of infection exceed the threshold
l_3 = -(t_3 - a_3) # Note that I cannot do a_3 - t_3 since a_3 is not a vector
l_3[l_3 >= 0.0] = 1.0
l_3[l_3 < 0.0] = 0.0
#l3 = t_3 <= a_3
# Determine if the fraction of neighbors with wear face masks exceeds a threshold
l_2 = F @ b_1_last - t_2 # sparse?
l_2[l_2 >= 0.0] = 1.0
l_2[l_2 < 0.0] = 0.0
#l_2 = (F @ b_1_last) >= t_2 WORTH TRYING!
# Update the mask state b_1
b_1 = a_1 + l_2 + l_3 # logical operation?
b_1[b_1 >= 1.0] = 1.0 # sparse?
#b_1 = np.logical_or(np.logical_or(a_1, l_2), l_3) WORTH TRYING
# The # of infected neighbors of each v
d = A @ b_2_last
# The # of infected neighbors with mask
d_2 = A @ np.multiply(b_1_last, b_2_last) # Very important to pass b_1_last here
# The # of infected neighbors without mask
d_1 = d - d_2
#Only susceptibles (b_4) can be infected
#--------------------------------------------------#
# h1 : the probability of not getting infected from neighbors who do not wear masks (1 - p or 1 - alpha p)
temp = one - (b_1 * (1.0 - alpha)) # IMPORTANT!!!!! b_1_last? (syn vs asyn)
h_1 = one - (temp * p)
# h2: contains the probability of not getting infected from neighbors who wear masks (1 - beta p or 1 - alpha beta p)
h_2 = one - (temp * beta * p)
temp = np.multiply(np.power(h_1, d_1), np.power(h_2, d_2))
q = np.multiply(b_4, one - temp)
#--------------------------------------------------#
# Has to flatten q to pass it to the binomial funciton
q_f = q.flatten()
# Compute newly infected nodes
newly_infected = np.reshape(np.random.binomial(1, q_f), (-1 ,1))
# Recovery
rr = np.random.choice([0, 1], size = (n, 1), p=[1.0 - r, r])
b_2 = b_2 - rr
b_2[b_2 == -1] = 0.0
# Update b_2
b_2 = newly_infected + b_2
# Update the susceptible vector
b_4 = -b_2 - b_3
b_4[b_4 == 0.0] = 1.0
b_4[b_4 < 0.0] = 0.0
# Determine if a fixed point it reached
# if np.array_equal(b_2, b_2_last):
| 33.957539
| 125
| 0.559907
| 10,046
| 62,380
| 3.305594
| 0.032053
| 0.011684
| 0.040051
| 0.039749
| 0.952
| 0.943989
| 0.940376
| 0.935497
| 0.932607
| 0.929113
| 0
| 0.050182
| 0.330106
| 62,380
| 1,836
| 126
| 33.976035
| 0.744496
| 0.534017
| 0
| 0.870175
| 0
| 0
| 0.013914
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.021053
| false
| 0
| 0.005263
| 0
| 0.064912
| 0.010526
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
db489edbf6ffe9cb65bea0ea1a10002559149b6a
| 26,669
|
py
|
Python
|
chembl_webservices/tests.py
|
chembl/chembl_new_webservices
|
59fb52665cc1fc09a495d9a8c118687ddd0ad781
|
[
"Apache-2.0"
] | 16
|
2015-02-20T15:54:56.000Z
|
2022-03-04T15:33:11.000Z
|
chembl_webservices/tests.py
|
chembl/chembl_webservices_2
|
59fb52665cc1fc09a495d9a8c118687ddd0ad781
|
[
"Apache-2.0"
] | 144
|
2015-02-18T22:14:18.000Z
|
2022-03-07T13:01:20.000Z
|
chembl_webservices/tests.py
|
chembl/chembl_new_webservices
|
59fb52665cc1fc09a495d9a8c118687ddd0ad781
|
[
"Apache-2.0"
] | 5
|
2015-03-03T12:58:29.000Z
|
2020-11-03T21:16:20.000Z
|
from tastypie.test import ResourceTestCase
from chembl_webservices import api_name
from chembl_webservices.resources import *
URL_PREFIX = '/chembl_webservices/'
BASE_URL = URL_PREFIX + api_name + '/'
#-----------------------------------------------------------------------------------------------------------------------
class ActivityResourceTest(ResourceTestCase):
def setUp(self):
super(ActivityResourceTest, self).setUp()
self.resource_class = ActivityResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class AssayResourceTest(ResourceTestCase):
def setUp(self):
super(AssayResourceTest, self).setUp()
self.resource_class = AssayResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.chembl_id
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.chembl_id, second.chembl_id)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class AtcResourceTest(ResourceTestCase):
def setUp(self):
super(AtcResourceTest, self).setUp()
self.resource_class = AtcResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class BindingSiteResourceTest(ResourceTestCase):
def setUp(self):
super(BindingSiteResourceTest, self).setUp()
self.resource_class = BindingSiteResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class BiotherapeuticComponentsResourceTest(ResourceTestCase):
def setUp(self):
super(BiotherapeuticComponentsResourceTest, self).setUp()
self.resource_class = BiotherapeuticComponentsResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class CellLineResourceTest(ResourceTestCase):
def setUp(self):
super(CellLineResourceTest, self).setUp()
self.resource_class = CellLineResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class DocsResourceTest(ResourceTestCase):
def setUp(self):
super(DocsResourceTest, self).setUp()
self.resource_class = DocsResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.chembl_id
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.chembl_id, second.chembl_id)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class ImageResourceTest(ResourceTestCase):
def setUp(self):
super(ImageResourceTest, self).setUp()
self.resource_class = ImageResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.molecule.chembl_id
def test_get_image_json(self):
resp = self.api_client.get(self.detail_url + '.json', format='json')
self.assertValidJSONResponse(resp)
def test_get_image_svg(self):
resp = self.api_client.get(self.detail_url + '.svg', format='svg')
self.assertHttpOK(resp)
self.assertTrue(resp['Content-Type'].startswith('image/svg+xml'))
def test_get_detail_png(self):
resp = self.api_client.get(self.detail_url + '.png', format='png')
self.assertHttpOK(resp)
#-----------------------------------------------------------------------------------------------------------------------
class MechanismResourceTest(ResourceTestCase):
def setUp(self):
super(MechanismResourceTest, self).setUp()
self.resource_class = MechanismResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class MoleculeResourceTest(ResourceTestCase):
def setUp(self):
super(MoleculeResourceTest, self).setUp()
self.resource_class = MoleculeResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.chembl_id
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.chembl_id, second.chembl_id)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class MoleculeFormsResourceTest(ResourceTestCase):
def setUp(self):
super(MoleculeFormsResourceTest, self).setUp()
self.resource_class = MoleculeFormsResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.molecule.chembl_id
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.molecule.chembl_id, second.molecule.chembl_id)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class ProteinClassResourceTest(ResourceTestCase):
def setUp(self):
super(ProteinClassResourceTest, self).setUp()
self.resource_class = ProteinClassResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class SimilarityResourceTest(ResourceTestCase):
def setUp(self):
super(SimilarityResourceTest, self).setUp()
self.resource_class = SimilarityResource
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s/%s' % ('COc1ccc2[C@@H]3[C@H](COc2c1)C(C)(C)OC4=C3C(=O)C(=O)C5=C4OC(C)(C)[C@@H]6COc7cc(OC)ccc7[C@H]56', 70)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class SourceResourceTest(ResourceTestCase):
def setUp(self):
super(SourceResourceTest, self).setUp()
self.resource_class = SourceResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class StatusResourceTest(ResourceTestCase):
def setUp(self):
super(StatusResourceTest, self).setUp()
self.resource_class = StatusResource
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class SubstructureResourceTest(ResourceTestCase):
def setUp(self):
super(SubstructureResourceTest, self).setUp()
self.resource_class = SubstructureResource
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % 'CN(CCCN)c1cccc2ccccc12'
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class TargetResourceTest(ResourceTestCase):
def setUp(self):
super(TargetResourceTest, self).setUp()
self.resource_class = TargetResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.chembl_id
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.chembl_id, second.chembl_id)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class TargetComponentsResourceTest(ResourceTestCase):
def setUp(self):
super(TargetComponentsResourceTest, self).setUp()
self.resource_class = TargetComponentsResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
class ChemblIdLookupResourceTest(ResourceTestCase):
def setUp(self):
super(ChemblIdLookupResourceTest, self).setUp()
self.resource_class = ChemblIdLookupResource
first_two = self.resource_class._meta.queryset._clone()[0:2]
first = first_two[0]
second = first_two[1]
self.resource_url = BASE_URL + self.resource_class._meta.resource_name
self.detail_url = self.resource_url + '/%s' % first.pk
self.multiple_url = self.resource_url + '/set/%s;%s' % (first.pk, second.pk)
def test_get_list_json(self):
resp = self.api_client.get(self.resource_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_list_xml(self):
resp = self.api_client.get(self.resource_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_detail_json(self):
resp = self.api_client.get(self.detail_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_detail_xml(self):
resp = self.api_client.get(self.detail_url, format='xml')
self.assertValidXMLResponse(resp)
def test_get_multiple_json(self):
resp = self.api_client.get(self.multiple_url, format='json')
self.assertValidJSONResponse(resp)
def test_get_multiple_xml(self):
resp = self.api_client.get(self.multiple_url, format='xml')
self.assertValidXMLResponse(resp)
#-----------------------------------------------------------------------------------------------------------------------
| 40.653963
| 157
| 0.630545
| 3,083
| 26,669
| 5.196886
| 0.035031
| 0.103358
| 0.06179
| 0.092685
| 0.903133
| 0.832168
| 0.831045
| 0.830733
| 0.82755
| 0.822931
| 0
| 0.00378
| 0.176722
| 26,669
| 656
| 158
| 40.653963
| 0.725952
| 0.089242
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| 0.849372
| 0
| 0.002092
| 0.029913
| 0.004697
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| 0.209205
| 1
| 0.246862
| false
| 0
| 0.006276
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| null | 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
db49ff5d92d4cd7b72ce3adaa008689354d23b63
| 212
|
py
|
Python
|
hodolbot/models/__init__.py
|
solar0037/hodolbot
|
f758375efce2dede58d920d41cab4a8ad38d1d58
|
[
"MIT"
] | null | null | null |
hodolbot/models/__init__.py
|
solar0037/hodolbot
|
f758375efce2dede58d920d41cab4a8ad38d1d58
|
[
"MIT"
] | 3
|
2021-08-02T01:59:04.000Z
|
2021-08-02T01:59:15.000Z
|
hodolbot/models/__init__.py
|
solar0037/hodolbot
|
f758375efce2dede58d920d41cab4a8ad38d1d58
|
[
"MIT"
] | null | null | null |
from hodolbot.models.covid19 import Covid19Model
from hodolbot.models.ranking import ProgrammingModel, AnimeModel
from hodolbot.models.stock import StockModel
from hodolbot.models.developer import DeveloperModel
| 42.4
| 64
| 0.877358
| 25
| 212
| 7.44
| 0.52
| 0.258065
| 0.387097
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020513
| 0.080189
| 212
| 4
| 65
| 53
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
db58e1da519e33370e5c245f3fca29ec04d81657
| 108
|
py
|
Python
|
json_edit/komand_json_edit/actions/__init__.py
|
emartin-merrill-r7/insightconnect-plugins
|
a589745dbcc9f01d3e601431e77ab7221a84c117
|
[
"MIT"
] | 1
|
2020-03-18T09:14:55.000Z
|
2020-03-18T09:14:55.000Z
|
json_edit/komand_json_edit/actions/__init__.py
|
OSSSP/insightconnect-plugins
|
846758dab745170cf1a8c146211a8bea9592e8ff
|
[
"MIT"
] | null | null | null |
json_edit/komand_json_edit/actions/__init__.py
|
OSSSP/insightconnect-plugins
|
846758dab745170cf1a8c146211a8bea9592e8ff
|
[
"MIT"
] | null | null | null |
# GENERATED BY KOMAND SDK - DO NOT EDIT
from .delete.action import Delete
from .update.action import Update
| 27
| 39
| 0.787037
| 17
| 108
| 5
| 0.705882
| 0.282353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157407
| 108
| 3
| 40
| 36
| 0.934066
| 0.342593
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
db677f5e02762b6dd7ce6864e5efbd7993e85651
| 230
|
py
|
Python
|
atcodertools/tools/templates/__init__.py
|
koba-e964/atcoder-tools
|
9a7221af631a141afccfcb6e26a017cd797ceb47
|
[
"MIT"
] | null | null | null |
atcodertools/tools/templates/__init__.py
|
koba-e964/atcoder-tools
|
9a7221af631a141afccfcb6e26a017cd797ceb47
|
[
"MIT"
] | null | null | null |
atcodertools/tools/templates/__init__.py
|
koba-e964/atcoder-tools
|
9a7221af631a141afccfcb6e26a017cd797ceb47
|
[
"MIT"
] | null | null | null |
import os
DEFAULT_TEMPLATE_DIR_PATH = os.path.dirname(os.path.abspath(__file__))
def get_default_template_path(lang: str):
return os.path.abspath(os.path.join(DEFAULT_TEMPLATE_DIR_PATH, "default_template.{}".format(lang)))
| 28.75
| 103
| 0.791304
| 35
| 230
| 4.8
| 0.457143
| 0.357143
| 0.214286
| 0.261905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078261
| 230
| 7
| 104
| 32.857143
| 0.792453
| 0
| 0
| 0
| 0
| 0
| 0.082609
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 0.75
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
dbbba0959ba20daea8aa8eec1f24d31592a47e6b
| 104
|
py
|
Python
|
karp5/util/__init__.py
|
spraakbanken/karp-backend-v5
|
bfca9d0f29a1243ee8d817c6a7db8b30a7da1097
|
[
"MIT"
] | 4
|
2018-01-09T10:20:22.000Z
|
2019-11-21T12:26:56.000Z
|
karp5/util/__init__.py
|
spraakbanken/karp-backend-v5
|
bfca9d0f29a1243ee8d817c6a7db8b30a7da1097
|
[
"MIT"
] | 44
|
2018-03-23T13:59:13.000Z
|
2022-03-29T06:03:17.000Z
|
karp5/util/__init__.py
|
spraakbanken/karp-backend-v5
|
bfca9d0f29a1243ee8d817c6a7db8b30a7da1097
|
[
"MIT"
] | 2
|
2018-01-07T12:08:32.000Z
|
2019-08-21T08:05:17.000Z
|
from .text import escape_control
# from .text import control_escape
from .text import unescape_control
| 20.8
| 34
| 0.826923
| 15
| 104
| 5.533333
| 0.4
| 0.289157
| 0.506024
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134615
| 104
| 4
| 35
| 26
| 0.922222
| 0.307692
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| null | 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
9183d3b03c088712ce048c7face5340dcf54af97
| 613,291
|
py
|
Python
|
python/phonenumbers/geodata/locale.py
|
AdaSupport/python-phonenumbers
|
8cfd93dadc6006cdf1bb3d24a779cd002e1c6661
|
[
"Apache-2.0"
] | null | null | null |
python/phonenumbers/geodata/locale.py
|
AdaSupport/python-phonenumbers
|
8cfd93dadc6006cdf1bb3d24a779cd002e1c6661
|
[
"Apache-2.0"
] | null | null | null |
python/phonenumbers/geodata/locale.py
|
AdaSupport/python-phonenumbers
|
8cfd93dadc6006cdf1bb3d24a779cd002e1c6661
|
[
"Apache-2.0"
] | 1
|
2020-12-14T11:39:53.000Z
|
2020-12-14T11:39:53.000Z
|
"""Locale information.
Holds a map from ISO 3166-1 country code (e.g. GB) to a dict.
Each dict maps from an ISO 639-1 language code (e.g. ja) to the country's name in that language.
Generated from java.util.Locale, generation info:
java.version=1.8.0_51
java.vendor=Oracle Corporation
os.name=Mac OS X
os.arch=x86_64
os.version=10.14.6
Auto-generated file, do not edit by hand.
"""
from ..util import u
LOCALE_DATA = {
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'ZM': {'aa':'Zambia','ab':'*aa','ae':'*aa','af':'*aa','ak':'*aa','am':'*aa','an':'*aa','ar':'*aa','as':'*aa','av':'*aa','ay':'*aa','az':'*aa','ba':'*aa','be':'*aa','bg':'*aa','bh':'*aa','bi':'*aa','bm':'*aa','bn':'*aa','bo':'*aa','br':'*aa','bs':'*aa','ca':u('Z\u00e0mbia'),'ce':'*aa','ch':'*aa','co':'*aa','cr':'*aa','cs':'*aa','cu':'*aa','cv':'*aa','cy':'*aa','da':'*aa','de':'Sambia','dv':'*aa','dz':'*aa','ee':'*aa','el':u('\u0396\u03ac\u03bc\u03c0\u03b9\u03b1'),'en':'*aa','eo':'*aa','es':'*aa','et':'*aa','eu':'*aa','fa':'*aa','ff':'*aa','fi':'*aa','fj':'*aa','fo':'*aa','fr':'Zambie','fy':'*aa','ga':'An tSaimbia','gd':'*aa','gl':'*aa','gn':'*aa','gu':'*aa','gv':'*aa','ha':'*aa','he':'*aa','hi':'*aa','ho':'*aa','hr':'*aa','ht':'*aa','hu':'*aa','hy':'*aa','hz':'*aa','ia':'*aa','id':'*aa','ie':'*aa','ig':'*aa','ii':'*aa','ik':'*aa','in':'*aa','io':'*aa','is':'*aa','it':'*aa','iu':'*aa','iw':'*aa','ja':u('\u30b6\u30f3\u30d3\u30a2'),'ji':'*aa','jv':'*aa','ka':'*aa','kg':'*aa','ki':'*aa','kj':'*aa','kk':'*aa','kl':'*aa','km':'*aa','kn':'*aa','ko':u('\uc7a0\ube44\uc544'),'kr':'*aa','ks':'*aa','ku':'*aa','kv':'*aa','kw':'*aa','ky':'*aa','la':'*aa','lb':'*aa','lg':'*aa','li':'*aa','ln':'*aa','lo':'*aa','lt':'*aa','lu':'*aa','lv':'*aa','mg':'*aa','mh':'*aa','mi':'*aa','mk':'*aa','ml':'*aa','mn':'*aa','mo':'*aa','mr':'*aa','ms':'*aa','mt':u('\u017bambja'),'my':'*aa','na':'*aa','nb':'*aa','nd':'*aa','ne':'*aa','ng':'*aa','nl':'*aa','nn':'*aa','no':'*aa','nr':'*aa','nv':'*aa','ny':'*aa','oc':'*aa','oj':'*aa','om':'*aa','or':'*aa','os':'*aa','pa':'*aa','pi':'*aa','pl':'*aa','ps':'*aa','pt':u('Z\u00e2mbia'),'qu':'*aa','rm':'*aa','rn':'*aa','ro':'*aa','ru':u('\u0417\u0430\u043c\u0431\u0438\u044f'),'rw':'*aa','sa':'*aa','sc':'*aa','sd':'*aa','se':'*aa','sg':'*aa','si':'*aa','sk':'*aa','sl':'*aa','sm':'*aa','sn':'*aa','so':'*aa','sq':'*aa','sr':u('\u0417\u0430\u043c\u0431\u0438\u0458\u0430'),'ss':'*aa','st':'*aa','su':'*aa','sv':'*aa','sw':'*aa','ta':'*aa','te':'*aa','tg':'*aa','th':u('\u0e41\u0e0b\u0e21\u0e40\u0e1a\u0e35\u0e22'),'ti':'*aa','tk':'*aa','tl':'*aa','tn':'*aa','to':'*aa','tr':'*aa','ts':'*aa','tt':'*aa','tw':'*aa','ty':'*aa','ug':'*aa','uk':'*aa','ur':'*aa','uz':'*aa','ve':'*aa','vi':u('D\u0103m-bi-a'),'vo':'*aa','wa':'*aa','wo':'*aa','xh':'*aa','yi':'*aa','yo':'*aa','za':'*aa','zh':u('\u8d5e\u6bd4\u4e9a'),'zu':'*aa',},
'ZW': {'aa':'Zimbabwe','ab':'*aa','ae':'*aa','af':'*aa','ak':'*aa','am':'*aa','an':'*aa','ar':'*aa','as':'*aa','av':'*aa','ay':'*aa','az':'*aa','ba':'*aa','be':'*aa','bg':'*aa','bh':'*aa','bi':'*aa','bm':'*aa','bn':'*aa','bo':'*aa','br':'*aa','bs':'*aa','ca':'*aa','ce':'*aa','ch':'*aa','co':'*aa','cr':'*aa','cs':'*aa','cu':'*aa','cv':'*aa','cy':'*aa','da':'*aa','de':'Simbabwe','dv':'*aa','dz':'*aa','ee':'*aa','el':u('\u0396\u03b9\u03bc\u03c0\u03ac\u03bc\u03c0\u03bf\u03c5\u03b5'),'en':'*aa','eo':'*aa','es':'Zimbabue','et':'*aa','eu':'*aa','fa':'*aa','ff':'*aa','fi':'*aa','fj':'*aa','fo':'*aa','fr':'*aa','fy':'*aa','ga':u('An tSiomb\u00e1ib'),'gd':'*aa','gl':'*aa','gn':'*aa','gu':'*aa','gv':'*aa','ha':'*aa','he':'*aa','hi':'*aa','ho':'*aa','hr':'*aa','ht':'*aa','hu':'*aa','hy':'*aa','hz':'*aa','ia':'*aa','id':'*aa','ie':'*aa','ig':'*aa','ii':'*aa','ik':'*aa','in':'*aa','io':'*aa','is':'*aa','it':'*aa','iu':'*aa','iw':'*aa','ja':u('\u30b8\u30f3\u30d0\u30d6\u30a8'),'ji':'*aa','jv':'*aa','ka':'*aa','kg':'*aa','ki':'*aa','kj':'*aa','kk':'*aa','kl':'*aa','km':'*aa','kn':'*aa','ko':u('\uc9d0\ubc14\ube0c\uc6e8'),'kr':'*aa','ks':'*aa','ku':'*aa','kv':'*aa','kw':'*aa','ky':'*aa','la':'*aa','lb':'*aa','lg':'*aa','li':'*aa','ln':'*aa','lo':'*aa','lt':'*aa','lu':'*aa','lv':'*aa','mg':'*aa','mh':'*aa','mi':'*aa','mk':'*aa','ml':'*aa','mn':'*aa','mo':'*aa','mr':'*aa','ms':'*aa','mt':u('\u017bimbabwe'),'my':'*aa','na':'*aa','nb':'*aa','nd':'*aa','ne':'*aa','ng':'*aa','nl':'*aa','nn':'*aa','no':'*aa','nr':'*aa','nv':'*aa','ny':'*aa','oc':'*aa','oj':'*aa','om':'*aa','or':'*aa','os':'*aa','pa':'*aa','pi':'*aa','pl':'*aa','ps':'*aa','pt':u('Zimb\u00e1bue'),'qu':'*aa','rm':'*aa','rn':'*aa','ro':'*aa','ru':u('\u0417\u0438\u043c\u0431\u0430\u0431\u0432\u0435'),'rw':'*aa','sa':'*aa','sc':'*aa','sd':'*aa','se':'*aa','sg':'*aa','si':'*aa','sk':'*aa','sl':'*aa','sm':'*aa','sn':'*aa','so':'*aa','sq':'*aa','sr':'*ru','ss':'*aa','st':'*aa','su':'*aa','sv':'*aa','sw':'*aa','ta':'*aa','te':'*aa','tg':'*aa','th':u('\u0e0b\u0e34\u0e21\u0e1a\u0e32\u0e1a\u0e40\u0e27'),'ti':'*aa','tk':'*aa','tl':'*aa','tn':'*aa','to':'*aa','tr':'*aa','ts':'*aa','tt':'*aa','tw':'*aa','ty':'*aa','ug':'*aa','uk':'*aa','ur':'*aa','uz':'*aa','ve':'*aa','vi':u('Dim-ba-bu-\u00ea'),'vo':'*aa','wa':'*aa','wo':'*aa','xh':'*aa','yi':'*aa','yo':'*aa','za':'*aa','zh':u('\u6d25\u5df4\u5e03\u97e6'),'zu':'*aa',},
}
| 2,296.970037
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| 0.790153
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| 0.059328
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| 613,291
| 266
| 3,270
| 2,305.605263
| 0.376652
| 0.000629
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| 0.520713
| 0.100919
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| 0
|
0
| 11
|
530455503b3ac22e6287f98b0751f1ea2011f19a
| 528,032
|
py
|
Python
|
adi_study_watch/nrf5_sdk_15.2.0/adi_study_watch/cli/m2m2/tools/CLI.py
|
ArrowElectronics/Vital-Signs-Monitoring
|
ba43fe9a116d94170561433910fd7bffba5726e7
|
[
"Unlicense"
] | 5
|
2021-06-13T17:11:19.000Z
|
2021-12-01T18:20:38.000Z
|
adi_study_watch/nrf5_sdk_15.2.0/adi_study_watch/cli/m2m2/tools/CLI.py
|
ArrowElectronics/Vital-Signs-Monitoring
|
ba43fe9a116d94170561433910fd7bffba5726e7
|
[
"Unlicense"
] | null | null | null |
adi_study_watch/nrf5_sdk_15.2.0/adi_study_watch/cli/m2m2/tools/CLI.py
|
ArrowElectronics/Vital-Signs-Monitoring
|
ba43fe9a116d94170561433910fd7bffba5726e7
|
[
"Unlicense"
] | 1
|
2022-01-08T15:01:44.000Z
|
2022-01-08T15:01:44.000Z
|
try:
import cmd, struct, serial, ctypes, threading, Queue, binascii, sys, glob, subprocess, errno
import datetime, time, os
import math
import socket
import m2m2_server
from cobs import cobs
from m2m2_common import *
import colorama as cr
import array as arr
import tqdm
import re
from cli_utils import *
except ImportError as e:
print "Oops, looks like you're missing a Python module!"
print "Try installing it with pip: `pip install MODULE_NAME`"
print "Error message is: {}".format(e)
print "Exiting..."
raise ImportError(e)
class LowTouch():
User_File = ''
User_File_name = "USER_INPUT_CONFIG.LOG"
DCB_File_name = "GEN_BLK_DCB_CONFIG.LOG"
Startcmd = False
Startcmdlen = 0
Startcmdcount = 0
Stopcmd = False
Stopcmdlen = 0
Stopcmdcount = 0
Enable_lowtouch = False
enable_csv_logs = 0
fs_file_pagechunk_list = []
lowtouch = LowTouch()
class verboser():
msg_formatters = {
0:None, # A placeholder for not printing anything
1:{"fmt":"{}", "help":"Regular old prints"},
2:{"fmt":cr.Back.WHITE + cr.Fore.BLACK + "{}", "help":"More chatter (i.e. Which command was just run)"},
3:{"fmt":cr.Back.CYAN + cr.Fore.BLACK + "{}", "help": "Underlying transaction info (i.e. raw packet data)"},
4:{"fmt":cr.Back.MAGENTA + cr.Fore.CYAN + "{}", "help": "CLI Interior workings (threads starting, sockets opened, etc)"},
}
err_formatter = cr.Back.RED + cr.Fore.GREEN + "ERR: {}"
level = 1
console_socket = None
console = None
port = 1069
def __init__(self, console_level=2):
self.console_level = console_level
self.dvt_ver = None
self.clk_calib_val = None
def __del__(self):
self.stop_console()
def write(self, msg, level = 1):
if ((self.level == 0) or (level == 0)):
return
if level <= self.level:
outstr = ""
whitespace = ""
whitespace = msg[:len(msg) - len(msg.lstrip())]
msg_str = msg[len(msg) - len(msg.lstrip()):]
output_str = whitespace + self.msg_formatters[level]["fmt"].format(msg_str)
if level >= self.console_level and self.console_socket != None:
self.console_write(output_str)
else:
print output_str
def console_write(self, text, level = 1):
if self.console != None:
try:
self.console_socket.send(text)
except socket.error as e:
if e.errno == errno.ENETRESET or e.errno == errno.ECONNABORTED or e.errno == errno.ECONNRESET:
self.err("Socket error: {}".format(e), force_print=True)
self.err("Attempting to restart the console...", force_print=True)
self.stop_console()
self.start_console()
else:
self.err("Socket error: {}".format(e), force_print=True)
def err(self, msg, level = 1, force_print=False):
if lowtouch.Enable_lowtouch == True:
print(" skip sending Command to device...")
return None
output_str = self.err_formatter.format(msg)
if self.console_socket != None and self.level >= self.console_level and not force_print:
self.console_write(output_str)
else:
print output_str
def set_level(self, level):
self.level = level
if level >= self.console_level and self.console == None:
self.start_console()
elif level <= self.console_level and self.console_socket != None:
self.stop_console()
def start_console(self):
if "nt" in os.name:
self.console = subprocess.Popen("start python.exe console_window.py {}".format(self.port), shell=True)
else:
self.console = subprocess.Popen("exec xterm -e \"python console_window.py {}\"".format(self.port), shell=True)
try:
self.console_socket = socket.socket()
self.console_socket.connect(('localhost', self.port))
except socket.error as e:
self.err("Couldn't open the socket to the secondary console: {}".format(e))
def stop_console(self):
self.console_socket.close()
self.console.terminate()
self.console_socket = None
self.console = None
class m2m2_shell(cmd.Cmd):
cr.init(autoreset=True)
intro = 'This is the m2m2 UART shell. Type "help" or "?" to list commands.\n'
prompt = cr.Fore.GREEN + '#>'
# Make error messages stand out more.
vrb = verboser()
m2m2_server = None
sock_map = {}
tx_q = Queue.Queue()
rx_q = Queue.Queue()
dispatcher_map = {}
for addr in vars(M2M2_ADDR_ENUM_t).keys():
if addr.count("__") <= 0:
addr_val = vars(M2M2_ADDR_ENUM_t)[addr]
dispatcher_map[addr_val] = Queue.Queue()
# A dictionary of useful/common command sequences to be executed. The 'commands' key contains a list of CLI commands to be run for the sequence.
quickstarts = {
# "adpd4000": { "commands":["clockCalibration", "setSlot 1 1 1 0x04", "sub radpd1 add", "sensor adpd4000 start"],
# "help":"Setup the ADPD in 32 bit summation mode with the default DCFG."},
"adpd4000": { "commands":[ "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green LED."},
"ecg4k": { "commands":[ "loadAdpdCfg 40","SetEcg4kLcfg 0:300", "clockCalibration", "controlECGElectrodeSwitch 4k_sw 1", "sensor adpd4000 start", "sub radpd1 add"],
"help":"Setup the ADPD for measuring ecg in slot A on DVT1/2/3 Watch"},
"ecg4k_dvt1": { "commands":["write_dcb_config adpd4000 ADPD4K_ECG_DVT1.dcfg", "loadAdpdCfg 40", "clockCalibration", "controlECGElectrodeSwitch 4k_sw 1", "sensor adpd4000 start", "sub radpd1 add"],
"help":"Setup the ADPD for measuring ecg in slot A on DVT1 Watch"},
"ecg4k_dvt2": { "commands":["write_dcb_config adpd4000 ADPD4K_ECG_DVT2.dcfg", "loadAdpdCfg 40","clockCalibration", "controlECGElectrodeSwitch 4k_sw 1", "sensor adpd4000 start", "sub radpd1 add"],
"help":"Setup the ADPD for measuring ecg in slot A on DVT2/3 Watch"},
"adpd4000_g": { "commands":["loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green LED."},
"adpd4000_r": { "commands":["loadAdpdCfg 41", "clockCalibration", "adpdAGCControl 2:1", "sensor adpd4000 start", "sub radpd7 add"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for Red LED."},
"adpd4000_ir": { "commands":["loadAdpdCfg 42", "clockCalibration", "adpdAGCControl 3:1", "sensor adpd4000 start", "sub radpd8 add"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for IR LED."},
"adpd4000_b": { "commands":["loadAdpdCfg 43", "clockCalibration", "adpdAGCControl 4:1", "sensor adpd4000 start", "sub radpd9 add"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for Blue LED."},
"adpd4000_g_agc_off": { "commands":["loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:0", "sensor adpd4000 start", "sub radpd6 add", "plot radpd6"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for Green LED."},
"adpd4000_r_agc_off": { "commands":["loadAdpdCfg 41", "clockCalibration", "adpdAGCControl 2:0", "sensor adpd4000 start", "sub radpd7 add", "plot radpd7"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for Red LED."},
"adpd4000_ir_agc_off": { "commands":["loadAdpdCfg 42", "clockCalibration", "adpdAGCControl 3:0", "sensor adpd4000 start", "sub radpd8 add", "plot radpd8"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for IR LED."},
"adpd4000_b_agc_off": { "commands":["loadAdpdCfg 43", "clockCalibration", "adpdAGCControl 4:0", "sensor adpd4000 start", "sub radpd9 add", "plot radpd9"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for Blue LED."},
"adpd4000_g_r": { "commands":["create_adpd4k_dcfg 6:4 7:5", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1 2:1", "sensor adpd4000 start", "sub radpd6 add","sub radpd7 add", "plot radpd6", "plot radpd7"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green + red LED."},
"adpd4000_g_ir": { "commands":["create_adpd4k_dcfg 6:4 8:6", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1 3:1", "sensor adpd4000 start", "sub radpd6 add","sub radpd8 add", "plot radpd6", "plot radpd8"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green + ir LED."},
"adpd4000_r_ir": { "commands":["create_adpd4k_dcfg 7:5 8:6", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 2:1 3:1", "sensor adpd4000 start", "sub radpd7 add","sub radpd8 add", "plot radpd7", "plot radpd8"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for red+ir LED."},
"adpd4000_g_b": { "commands":["create_adpd4k_dcfg 6:4 9:7", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1 4:1", "sensor adpd4000 start", "sub radpd6 add","sub radpd9 add", "plot radpd6", "plot radpd9"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green+blue LED."},
"adpd4000_r_b": { "commands":["create_adpd4k_dcfg 7:5 9:7", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 2:1 4:1", "sensor adpd4000 start", "sub radpd7 add","sub radpd9 add", "plot radpd7", "plot radpd9"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for red+blue LED."},
"adpd4000_ir_b": { "commands":["create_adpd4k_dcfg 8:6 9:7", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 3:1 4:1", "sensor adpd4000 start", "sub radpd8 add","sub radpd9 add", "plot radpd8", "plot radpd9"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for ir+blue LED."},
"adpd4000_g_r_ir": { "commands":["create_adpd4k_dcfg 6:4 7:5 8:6", "loadAdpdCfg 40", "adpdAGCControl 1:1 2:1 3:1", "clockCalibration", "sensor adpd4000 start", "sub radpd6 add", "sub radpd7 add", "sub radpd8 add", "plot radpd6", "plot radpd7", "plot radpd8"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green+red+ir LED."},
"adpd4000_r_ir_b": { "commands":["create_adpd4k_dcfg 7:5 8:6 9:7", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 2:1 3:1 4:1", "sensor adpd4000 start", "sub radpd7 add","sub radpd8 add","sub radpd9 add", "plot radpd7", "plot radpd8", "plot radpd9"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for red+ir+blue LED."},
"adpd4000_g_r_b": { "commands":["create_adpd4k_dcfg 6:4 7:5 9:7", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1 2:1 4:1", "sensor adpd4000 start", "sub radpd6 add", "sub radpd7 add","sub radpd9 add", "plot radpd6", "plot radpd7", "plot radpd9"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green+red+blue LED."},
"adpd4000_g_ir_b": { "commands":["create_adpd4k_dcfg 6:4 8:6 9:7", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1 3:1 4:1", "sensor adpd4000 start", "sub radpd6 add", "sub radpd8 add","sub radpd9 add", "plot radpd6", "plot radpd8", "plot radpd9"],
"help":"Setup the ADPD in 32 bit summation mode with the default DCFG for green+ir+blue LED."},
"ctr": { "commands":["loadAdpdCfg 6", "clockCalibration", "setSlot 0x00:0x14", "getCtrValue"],
"help":"Get ctr value."},
"adxl": { "commands":["sensor adxl start","sub radxl add"],
"help":"Start ADXL"},
"ad7156": { "commands":["sensor ad7156 start","sub rad7156 add"],
"help":"Start AD7156"},
"plot-adpd4000": {"commands":["quickstart adpd4000", "plot radpd6"],
"help":"Quickstarts the ADPD and starts a plot of the raw ADPD SlotF."},
"plot-ecg4000": {"commands":["quickstart ecg4000", "plot radpd1"],
"help":"Quickstarts the ADPD and starts a plot of the raw ECG from SlotA."},
"plot-adpd4000_g": {"commands":["quickstart adpd4000_g", "plot radpd6"],
"help":"Quickstarts the ADPD and starts a plot of the raw ADPD SlotF."},
"plot-adpd4000_r": {"commands":["quickstart adpd4000_r", "plot radpd7"],
"help":"Quickstarts the ADPD and starts a plot of the raw ADPD SlotG."},
"plot-adpd4000_ir": {"commands":["quickstart adpd4000_ir", "plot radpd8"],
"help":"Quickstarts the ADPD and starts a plot of the raw ADPD SlotH."},
"plot-adpd4000_b": {"commands":["quickstart adpd4000_b", "plot radpd9"],
"help":"Quickstarts the ADPD and starts a plot of the raw ADPD SlotI."},
"temperature": { "commands":["create_adpd4k_dcfg 4:2 5:3", "loadAdpdCfg 40", "sensor temperature start", "sub rtemperature add"],
"help":"Start Temperature"},
"temperature_C_D_J_K_L": { "commands":["create_adpd4k_dcfg 3:2 4:2 5:3 10:2 11:2 12:2", "loadAdpdCfg 40", "sensor temperature start", "sub rtempr3 add", "sub rtemperature add","sub rtempr10 add","sub rtempr11 add","sub rtempr12 add"],
"help":"Start Temperature slot C,D,J,K,L"},
"temperature_C_D_J_K_L_uc1": { "commands":["loadAdpdUCDcfg 6","tempr_lcfg_write 0x01 0x0E1C","reg adpd4000 w 0x0010:0x0B00","reg adpd4000 w 0x0150:0x0004", "reg adpd4000 w 0x0230:0x0004","reg adpd4000 w 0x0250:0x0004", "reg adpd4000 w 0x0270:0x0004",
"reg adpd4000 w 0x0143:0x5A40", "reg adpd4000 w 0x0163:0x5A40","reg adpd4000 w 0x0183:0x5A40", "reg adpd4000 w 0x0223:0x5A40","reg adpd4000 w 0x0243:0x5A40", "reg adpd4000 w 0x0263:0x5A40","sensor temperature start", "sub rtempr3 add", "sub rtemperature add","sub rtempr10 add","sub rtempr11 add","sub rtempr12 add"],
"help":"Start Temperature slot C,D,J,K,L dvt1"},
"start_log_temperature_C_D_J_K_L_uc1": { "commands":["loadAdpdUCDcfg 6","tempr_lcfg_write 0x01 0x0E1C","reg adpd4000 w 0x0010:0x0B00","reg adpd4000 w 0x0150:0x0004", "reg adpd4000 w 0x0230:0x0004","reg adpd4000 w 0x0250:0x0004", "reg adpd4000 w 0x0270:0x0004",
"reg adpd4000 w 0x0143:0x5A40", "reg adpd4000 w 0x0163:0x5A40","reg adpd4000 w 0x0183:0x5A40", "reg adpd4000 w 0x0223:0x5A40","reg adpd4000 w 0x0243:0x5A40", "reg adpd4000 w 0x0263:0x5A40","fs_sub rtempr3 add", "fs_sub rtemperature add","fs_sub rtempr10 add","fs_sub rtempr11 add","fs_sub rtempr12 add","sensor temperature start","fs_log start"],
"help":"Start Temperature slot C,D,J,K,L dvt1"},
"temperature_C_D": { "commands":["create_adpd4k_dcfg 3:2 4:2 5:3", "loadAdpdCfg 40", "sensor temperature start", "sub rtempr3 add", "sub rtemperature add"],
"help":"Start Temperature slot C and D"},
"ped": { "commands":["sensor adxl start", "sensor ped start", "sub rped add"],
"help":"Starts the Pedometer."},
"sqi_ext":{ "commands":["plot rsqi", "SQISetSlot 6", "set_adpd_ext_datastream_odr 100", "sensor sqi start","sub rsqi add","send_ext_adpd_datastream 11173863_ADPDAppStream_SlotFChannel1.csv 6 2", "sub rsqi remove", "sensor sqi stop"],
"help":"send external sqi data stream"},
"sqi_green": { "commands":["plot radpd6","plot rsqi","loadAdpdCfg 40", "reg w adpd4000 0x0D:0x2710", "clockCalibration","SQISetSlot 6","sensor sqi start","sub rsqi add","adpdAGCControl 1:1","sensor adpd4000 start","sub radpd6 add"],
"help":"Starts the SQI with Green LED on slot F of ADPD4000 at 100Hz"},
"sqi_mm": { "commands":["plot radpd1","plot rsqi", "sensor sqi start","sub rsqi add","sub radpd1 add","sensor adpd4000 start"],
"help":"Starts the SQI with Green LED on slot F of ADPD4000 at 100Hz"},
"sqi_mm_test": { "commands":["sub radpd1 add","sub radpd4 add","sub radpd5 add","sensor sqi start","sub rtemperature add", "sub rsqi add","plot rsqi","plot radpd1","plot rtemperature","sensor adpd4000 start"],
"help":"Starts the SQI with Green LED on slot F of ADPD4000 at 100Hz"},
"sqi_green_50": { "commands":["plot radpd6","plot rsqi","loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration 6","SQISetSlot 6","sensor sqi start","sub rsqi add","adpdAGCControl 1:1","sensor adpd4000 start","sub radpd6 add"],
"help":"Starts the SQI with Green LED on slot F of ADPD4000 at 50Hz"},
"sqi_green_25": { "commands":["plot radpd6","plot rsqi","loadAdpdCfg 40", "reg w adpd4000 0x0D:0x9C40", "clockCalibration","SQISetSlot 6","sensor sqi start","sub rsqi add","adpdAGCControl 1:1","sensor adpd4000 start","sub radpd6 add"],
"help":"Starts the SQI with Green LED on slot F of ADPD4000 at 25Hz"},
"sqi_ppg":{ "commands":["plot rsyncppg","plot rppg", "plot rsqi", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "SQISetSlot 6","sensor sqi start", "sub rsqi add", "sensor ppg start","sub rppg add"],
"help":"starts SQI along with PPG stream"},
"start_log_sqi_green": { "commands":["loadAdpdCfg 40","reg w adpd4000 0x0D:0x2710", "clockCalibration", "SQISetSlot 6", "fs_sub rsqi add", "fs_sub radpd6 add","sensor sqi start", "sensor adpd4000 start", "fs_log start"],
"help":"log the SQI data with Green LED on slot F of ADPD4000 at 100Hz"},
"sqi_agc_off_green": { "commands":["plot radpd6","plot rsqi","loadAdpdCfg 40","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 6","sensor sqi start","sub rsqi add","adpdAGCControl 1:0","sensor adpd4000 start","sub radpd6 add"],
"help":"Starts the SQI with Green LED on slot F of ADPD4000 at 100Hz"},
"sqi_red": { "commands":["plot radpd7","plot rsqi","loadAdpdCfg 41","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 7","sensor sqi start","sub rsqi add","adpdAGCControl 2:1","sensor adpd4000 start","sub radpd7 add"],
"help":"Starts the SQI with Red LED on slot G of ADPD4000 at 100Hz"},
"start_log_sqi_red": { "commands":["loadAdpdCfg 41","reg w adpd4000 0x0D:0x2710", "clockCalibration", "SQISetSlot 7", "fs_sub rsqi add", "fs_sub radpd7 add","sensor sqi start", "sensor adpd4000 start", "fs_log start"],
"help":"log the SQI data with Red LED on slot G of ADPD4000 at 100Hz"},
"sqi_agc_off_red": { "commands":["plot radpd7","plot rsqi","loadAdpdCfg 41","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 7","sensor sqi start","sub rsqi add","adpdAGCControl 2:0","sensor adpd4000 start","sub radpd7 add"],
"help":"Starts the SQI with Red LED on slot G of ADPD4000 at 100Hz"},
"sqi_ir": { "commands":["plot radpd8","plot rsqi","loadAdpdCfg 42","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 8","sensor sqi start","sub rsqi add","adpdAGCControl 3:1","sensor adpd4000 start","sub radpd8 add"],
"help":"Starts the SQI with IR LED on slot H of ADPD4000 at 100Hz"},
"start_log_sqi_ir": { "commands":["loadAdpdCfg 42","reg w adpd4000 0x0D:0x2710", "clockCalibration", "SQISetSlot 8", "fs_sub rsqi add", "fs_sub radpd8 add","sensor sqi start", "sensor adpd4000 start", "fs_log start"],
"help":"log the SQI data with IR LED on slot H of ADPD4000 at 100Hz"},
"sqi_agc_off_ir": { "commands":["plot radpd8","plot rsqi","loadAdpdCfg 42","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 8","sensor sqi start","sub rsqi add","adpdAGCControl 3:0","sensor adpd4000 start","sub radpd8 add"],
"help":"Starts the SQI with IR LED on slot H of ADPD4000 at 100Hz"},
"sqi_blue": { "commands":["plot radpd9","plot rsqi","loadAdpdCfg 43","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 9","sensor sqi start","sub rsqi add","adpdAGCControl 4:1","sensor adpd4000 start","sub radpd9 add"],
"help":"Starts the SQI with Blue LED on slot I of ADPD4000 at 100Hz"},
"start_log_sqi_blue": { "commands":["loadAdpdCfg 43","reg w adpd4000 0x0D:0x2710", "clockCalibration", "SQISetSlot 9", "fs_sub rsqi add", "fs_sub radpd9 add","sensor sqi start", "sensor adpd4000 start", "fs_log start"],
"help":"log the SQI data with Blue LED on slot I of ADPD4000 at 100Hz"},
"sqi_agc_off_blue": { "commands":["plot radpd9","plot rsqi","loadAdpdCfg 43","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 9","sensor sqi start","sub rsqi add","adpdAGCControl 4:0","sensor adpd4000 start","sub radpd9 add"],
"help":"Starts the SQI with Blue LED on slot I of ADPD4000 at 100Hz"},
"start_log_adp": { "commands":["fs_sub radp add", "fs_log start"],
"help":"Starts logging the Battery info."},
"stop_log_adp": { "commands":["fs_sub radp remove","fs_log stop"],
"help":"Stops logging the Battery info."},
"start_log_adxl": { "commands":["fs_sub radxl add","sensor adxl start","fs_log start"],
"help":"Starts logging the ADXL."},
"start_reg_read_adxl": { "commands":["reg r adxl 0x00","reg r adxl 0x01","reg r adxl 0x02",
"reg r adxl 0x03","reg r adxl 0x08","reg r adxl 0x09",
"reg r adxl 0x0A","reg r adxl 0x0B","reg r adxl 0x0C","reg r adxl 0x0D","reg r adxl 0x0E","reg r adxl 0x0F",
# "reg r adxl 0x0A","reg r adxl 0x0B","reg r adxl 0x0C","reg r adxl 0x0D","reg r adxl 0x0E","reg r adxl 0x0F",
"reg r adxl 0x10","reg r adxl 0x11","reg r adxl 0x12","reg r adxl 0x13","reg r adxl 0x14","reg r adxl 0x15",
"reg r adxl 0x16","reg r adxl 0x17","reg r adxl 0x1F","reg r adxl 0x20","reg r adxl 0x21","reg r adxl 0x22",
"reg r adxl 0x23","reg r adxl 0x24","reg r adxl 0x25","reg r adxl 0x26","reg r adxl 0x27","reg r adxl 0x28",
"reg r adxl 0x29","reg r adxl 0x2A","reg r adxl 0x2B","reg r adxl 0x2C","reg r adxl 0x2D","reg r adxl 0x2E",
],
"help":"Starts logging the ADXL."},
"start_log_adxl_252": { "commands":["setDateTime","getDateTime",
"quickstart start_log_adxl","reg w adxl 0x2C:0x98","delay 20","quickstop stop_log_adxl",
"quickstart start_log_adxl","reg w adxl 0x2C:0x99","delay 20","quickstop stop_log_adxl",
"quickstart start_log_adxl","reg w adxl 0x2C:0x9A","delay 20","quickstop stop_log_adxl",
"quickstart start_log_adxl","reg w adxl 0x2C:0x9B","delay 20","quickstop stop_log_adxl",
"quickstart start_log_adxl","reg w adxl 0x2C:0x9C","delay 20","quickstop stop_log_adxl",
"quickstart start_log_adxl","reg w adxl 0x2C:0x9D","delay 20","quickstop stop_log_adxl"
# "quickstart adxl","delay 20","quickstop adxl"
],
"help":"Takes 1 min log of ADXL in the external trigger mode."},
"start_log_ext_adxl": { "commands":["fs_sub radxl add","sensor adxl start","fs_log start","delay 60","reg w adxl 0x2C:0x98", "sensor adxl stop",
"sensor adxl start","reg w adxl 0x2C:0x99","delay 60", "sensor adxl stop",
"sensor adxl start","reg w adxl 0x2C:0x9A","delay 60", "sensor adxl stop",
"sensor adxl start","reg w adxl 0x2C:0x9B","delay 60", "sensor adxl stop",
"sensor adxl start","reg w adxl 0x2C:0x9C","delay 60", "sensor adxl stop",
"sensor adxl start","reg w adxl 0x2C:0x9D","delay 60", "sensor adxl stop",
"sensor adxl start","reg w adxl 0x2C:0x9E","delay 60", "sensor adxl stop",
"fs_sub radxl remove", "fs_log stop"],
"help":"Starts logging the ADXL."},
"start_log_adpd4000_g": { "commands":["loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "fs_sub radpd6 add","sensor adpd4000 start","fs_log start"],
"help":"Starts logging the ADPD4000."},
"start_log_adpd4000_r": { "commands":["loadAdpdCfg 41", "clockCalibration", "adpdAGCControl 2:1", "fs_sub radpd7 add","sensor adpd4000 start","fs_log start"],
"help":"Starts logging the ADPD4000."},
"start_log_adpd4000_ir": { "commands":["loadAdpdCfg 42", "clockCalibration", "adpdAGCControl 3:1", "fs_sub radpd8 add","sensor adpd4000 start","fs_log start"],
"help":"Starts logging the ADPD4000."},
"start_log_adpd4000_b": { "commands":["loadAdpdCfg 43", "clockCalibration", "adpdAGCControl 4:1", "fs_sub radpd9 add","sensor adpd4000 start","fs_log start"],
"help":"Starts logging the ADPD4000."},
"start_log_adpd4000_g_append": { "commands":["loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "fs_sub radpd6 add","sensor adpd4000 start","fs_log_append"],
"help":"Starts logging the ADPD4000."},
"start_log_ppg": { "commands":["loadAdpdCfg 40", "clockCalibration","setPpgLcfg 40", "lcfgPpgWrite 0x4 0x1210", "fs_sub rppg add", "sensor ppg start", "fs_log start"],
"help":"Starts logging the PPG with Static AGC enabled"},
"start_log_ppg_dynamic_agc": { "commands":["loadAdpdCfg 40", "clockCalibration","setPpgLcfg 40", "fs_sub rppg add","fs_sub rstatic_agc add", "fs_sub rdynamic_agc add", "sensor ppg start", "fs_log start"],
"help":"Starts logging the PPG with Static+Dynamic AGC enabled"},
"start_log_hrv": { "commands":["loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "fs_sub rppg add","fs_sub rstatic_agc add", "fs_sub rdynamic_agc add", "fs_sub rhrv add", "sensor ppg start","fs_log start"],
"help":"Starts logging the PPG+HRV Stream"},
"start_log_temperature": { "commands":["create_adpd4k_dcfg 4:2 5:3", "loadAdpdCfg 40", "fs_sub rtemperature add", "sensor temperature start","fs_log start"],
"help":"Start Temperature"},
"start_log_ecg": { "commands":["lcfgEcgWrite 0:100","fs_sub recg add","sensor ecg start","fs_log start"],
"help":"Start ecg"},
"start_log_ecg_1500": { "commands":["lcfgEcgWrite 0:1500","fs_sub recg add","sensor ecg start","fs_log start"],
"help":"log ecg @ 1500Hz"},
"start_log_ecg_1600": { "commands":["lcfgEcgWrite 0:1600","fs_sub recg add","sensor ecg start","fs_log start"],
"help":"log ecg @ 1600Hz"},
"start_log_ecg_2000": { "commands":["lcfgEcgWrite 0:2000","fs_sub recg add","sensor ecg start","fs_log start"],
"help":"log ecg @ 2000Hz"},
"start_log_ped": {"commands":["fs_sub rped add","sensor adxl start", "sensor ped start","fs_log start"],
"help":"Starts the Pedometer. logging"},
"start_log_adpd4000_r_adxl": {"commands":["loadAdpdCfg 41", "clockCalibration","fs_sub radpd7 add","fs_sub radxl add","fs_log start","sensor adpd4000 start","sensor adxl start"],
"help":"Starts the ADPD4000_r, ADXL logging"},
###Testing ECG4K in UC3 in place of ECG from AD5940###
"uc3_ecg4k_dvt2": { "commands":["write_dcb_config adpd4000 TEST_ECG4K_DVT2_UC3.dcfg", "loadAdpdCfg 40", "setPpgLcfg 40", "clockCalibration", "setUCHREnab 1 6", "controlECGElectrodeSwitch 4k_sw 1", "sub rstatic_agc add", "sub rdynamic_agc add", "sub rppg add", "sub rsqi add", "sub radpd1 add", "sub radpd6 add", "sub radxl add", "sub rtemperature add", "sensor adxl start", "SQISetSlot 6", "sensor sqi start", "adpdAGCControl 1:1", "sensor adpd4000 start", "sensor temperature start"],
"help":"Starts streaming UC3 - ECG4K@300Hz, Adxl@50Hz, SQI, Adpd@100Hz, Temperature"},
"ecg4k_eda_dvt2": { "commands":["quickstart ecg4k_dvt2", "quickstart eda"],
"help":"Running ECG from ADPD4K + EDA"},
######################################################
#"start_log_mv_uc1": { "commands":["loadAdpdUCDcfg 1", "clockCalibration","fs_sub radpd6 add","fs_sub radxl add","fs_sub rtemperature add","adpdAGCControl 1:1","sensor adpd4000 start","sensor adxl start","sensor temperature start","fs_log start"],
"start_log_mv_uc1": { "commands":["loadAdpdUCDcfg 1","setPpgLcfg 40", "loadPpgUCLcfg 1", "clockCalibration", "setUCHREnab 1 6", "fs_sub rstatic_agc add", "fs_sub rdynamic_agc add", "fs_sub rppg add", "fs_sub radpd6 add","fs_sub radxl add","fs_sub rtemperature add","adpdAGCControl 1:1","sensor adpd4000 start","sensor adxl start","sensor temperature start","fs_log start"],
"help":"Starts logging for MV UC1 - Adpd@500Hz, Adxl, HR, Temperature"},
"start_log_mv_uc1_without_hr": { "commands":["loadAdpdUCDcfg 1","clockCalibration", "fs_sub rstatic_agc add", "fs_sub radpd6 add","fs_sub radxl add","fs_sub rtemperature add","adpdAGCControl 1:1","sensor adpd4000 start","sensor adxl start","sensor temperature start","fs_log start"],
"help":"Starts logging for MV UC1 - Adpd@500Hz, Adxl,Temperature"},
"start_log_mv_uc1_without_hr_recalibration": { "commands":["loadAdpdUCDcfg 1","clockCalibration", "fs_sub rstatic_agc add", "fs_sub radpd6 add","fs_sub radxl add","fs_sub rtemperature add","adpdAGCControl 1:1","sensor adpd4000 start","sensor adxl start","sensor temperature start","fs_log start","delay 15","sensor temperature stop","sensor adpd4000 stop","delay 15","adpdAGCControl 1:1","sensor adpd4000 start","sensor temperature start"],
"help":"Starts logging for MV UC1 - Adpd@500Hz, Adxl,Temperature"},
"start_log_mv_uc2": { "commands":["loadAdpdUCDcfg 2","setPpgLcfg 40", "loadPpgUCLcfg 2", "clockCalibration","setUCHREnab 1 6","fs_sub rstatic_agc add", "fs_sub rdynamic_agc add", "fs_sub rppg add", "fs_sub rsqi add", "fs_sub radpd6 add","fs_sub radxl add","fs_sub reda add","fs_sub rtemperature add","lcfgEdaWrite 0:30","lcfgEdaWrite 2:1","sensor eda start","sensor adxl start","SQISetSlot 6","sensor sqi start","adpdAGCControl 1:1","sensor adpd4000 start","sensor temperature start","fs_log start"],
"help":"Starts logging for MV UC2 - Eda@30Hz, Adxl, SQI, Adpd@100Hz, HR, Temperature"},
"start_log_mv_uc3": { "commands":["loadAdpdUCDcfg 3","setPpgLcfg 40", "loadPpgUCLcfg 3", "clockCalibration","setUCHREnab 1 6","fs_sub rstatic_agc add","fs_sub rdynamic_agc add", "fs_sub rppg add", "fs_sub rsqi add","fs_sub radpd6 add","fs_sub radxl add","fs_sub recg add","fs_sub rtemperature add","lcfgEcgWrite 0:250","sensor ecg start","SQISetSlot 6","sensor sqi start","adpdAGCControl 1:1","sensor adpd4000 start","sensor adxl start","sensor temperature start","fs_log start"],
"help":"Starts logging for MV UC3 - Ecg@250Hz, SQI, Adpd@100Hz, HR, Adxl, Temperature"},
"start_log_mv_uc4": { "commands":["loadAdpdUCDcfg 4","setPpgLcfg 40", "loadPpgUCLcfg 4", "clockCalibration","fs_sub rppg add","fs_sub rstatic_agc add","fs_sub rdynamic_agc add", "fs_sub rsqi add","fs_sub recg add","fs_sub rtemperature add","lcfgEcgWrite 0:1000","sensor ecg start","SQISetSlot 6","sensor sqi start","sensor ppg start","sensor temperature start","fs_log start"],
"help":"Starts logging for MV UC4 - Ecg@1000Hz, SQI, ppg, Temperature"},
"start_log_mv_uc5": { "commands":["loadAdpdUCDcfg 5","setPpgLcfg 40", "loadPpgUCLcfg 5","clockCalibration","setUCHREnab 1 6","fs_sub rstatic_agc add", "fs_sub rdynamic_agc add", "fs_sub rppg add", "fs_sub rsqi add","fs_sub radpd6 add","fs_sub radpd7 add","fs_sub radpd8 add","fs_sub radpd9 add","fs_sub radxl add","SQISetSlot 6","sensor sqi start","adpdAGCControl 0:1","sensor adpd4000 start","sensor adxl start","fs_log start"],
"help":"Starts logging for MV UC5 - 4 LED Slots at 100Hz, SQI, HR, Adxl"},
"start_log_mv_uc5_recalibration": { "commands":["loadAdpdUCDcfg 5","setPpgLcfg 40", "loadPpgUCLcfg 5","clockCalibration","setUCHREnab 1 6","fs_sub rstatic_agc add", "fs_sub rdynamic_agc add", "fs_sub rppg add", "fs_sub rsqi add","fs_sub radpd6 add","fs_sub radpd7 add","fs_sub radpd8 add","fs_sub radpd9 add","fs_sub radxl add","SQISetSlot 6","sensor sqi start","adpdAGCControl 0:1","sensor adpd4000 start","sensor adxl start","fs_log start","delay 15","sensor temperature stop","sensor adpd4000 stop","delay 15","adpdAGCControl 0:1","sensor adpd4000 start","sensor temperature start"],
"help":"Starts logging for MV UC5 - 4 LED Slots at 100Hz, SQI, HR, Adxl"},
"start_log_mv_uc5_without_hr": { "commands":["loadAdpdUCDcfg 5","setPpgLcfg 40","clockCalibration","fs_sub rstatic_agc add","fs_sub rsqi add","fs_sub radpd6 add","fs_sub radpd7 add","fs_sub radpd8 add","fs_sub radpd9 add","fs_sub radxl add","SQISetSlot 6","sensor sqi start","adpdAGCControl 0:1","sensor adpd4000 start","sensor adxl start","fs_log start"],
"help":"Starts logging for MV UC5 - 4 LED Slots at 100Hz, SQI, Adxl"},
"start_log_mv_uc5_without_hr_recalibration": { "commands":["loadAdpdUCDcfg 5","clockCalibration","fs_sub rstatic_agc add","fs_sub rsqi add","fs_sub radpd6 add","fs_sub radpd7 add","fs_sub radpd8 add","fs_sub radpd9 add","fs_sub radxl add","SQISetSlot 6","sensor sqi start","adpdAGCControl 0:1","sensor adpd4000 start","sensor adxl start","fs_log start","delay 15","sensor temperature stop","sensor adpd4000 stop","delay 15","adpdAGCControl 0:1","sensor adpd4000 start","sensor temperature start"],
"help":"Starts logging for MV UC5 - 4 LED Slots at 100Hz, SQI, Adxl"},
"start_log_nk_uc": { "commands":["loadAdpdCfg 40","clockCalibration","fs_sub rtemperature add","fs_sub radpd6 add","fs_sub radxl add","fs_sub reda add","adpdAGCControl 1:1","sensor temperature start","set_eda_dcb_lcfg","sensor eda start","sensor adxl start","sensor adpd4000 start","fs_log_append"],
"help":"Starts logging for NK UC - Eda@8Hz, Adxl, Adpd@500Hz, Temperature"},
"start_log_nk_uc_set_bat_thresh": { "commands":["loadAdpdCfg 40","clockCalibration","fs_sub rtemperature add","fs_sub radpd6 add","fs_sub radxl add","fs_sub reda add","adpdAGCControl 1:1","sensor temperature start","set_eda_dcb_lcfg","sensor eda start","sensor adxl start","sensor adpd4000 start","fs_log_append","setBatteryThreshold 87 88"],
"help":"Starts logging for NK UC - Eda@8Hz, Adxl, Adpd@500Hz, Temperature after setting Battery threshold"},
"start_log_mv_uc6": { "commands":["loadAdpdUCDcfg 6","setPpgLcfg 40", "loadPpgUCLcfg 3", "clockCalibration","setUCHREnab 1 6","fs_sub rstatic_agc add", "fs_sub rdynamic_agc add", "fs_sub rppg add", "fs_sub rsqi add","fs_sub radpd6 add","fs_sub radxl add","fs_sub rbia add","fs_sub rtemperature add","lcfgBiaWrite 0:20","sensor bia start","SQISetSlot 6","sensor sqi start","adpdAGCControl 1:1","sensor adpd4000 start","sensor adxl start","sensor temperature start","fs_log start"],
"help":"Starts logging for MV UC6 - 4 LED Slots at 100Hz, SQI, HR, Adxl, Bia at 20 Hz"},
"ppg": { "commands":["loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "lcfgPpgWrite 0x4 0x1210", "sensor ppg start", "sub rppg add"],
"help":"Starts the PPG application with Static AGC enabled"},
"ppg_dynamic_agc": { "commands":["loadAdpdCfg 40", "clockCalibration","setPpgLcfg 40", "sensor ppg start", "sub rppg add","sub rstatic_agc add", "sub rdynamic_agc add"],
"help":"Starts the PPG application with Static+Dynamic AGC enabled"},
"hrv":{ "commands":["loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "sensor ppg start","sub rppg add","sub rstatic_agc add", "sub rdynamic_agc add", "sub rhrv add"],
"help":"starts PPG+HRV stream with Static+Dynamic AGC enabled"},
"periodic_ppg": { "commands":["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 6 0x000F001E", "sensor ppg start", "sub rppg add"],
"help":"Starts Duty cycle based periodic PPG, Ton=15sec,Toff=30sec"},
"ecg": {"commands": ["lcfgEcgWrite 0:100", "sensor ecg start", "sub recg add"],
"help": "Start ECG"},
"ecg_dcb": {"commands": ["set_ecg_dcb_lcfg", "sensor ecg start", "sub recg add"],
"help": "Start ECG, writes lcfg from DCB if present"},
"eda": {"commands":["lcfgEdaWrite 0:4","lcfgEdaWrite 2:2", "sensor eda start", "sub reda add"],
"help":"Starts the eda."},
"tst_issue_330_1": {"commands":["fs_log start","fs_log stop"],
"help":"Open and close "},
"tst_issue_330_2": {"commands":["pattern_write 16384 0 1 1 1"],
"help":"pattern write with 2 pages "},
"eda_4": {"commands":["lcfgEdaWrite 0:4","lcfgEdaWrite 2:2","sensor eda start","sub reda add"],
"help":"Starts the eda."},
"eda_8": {"commands":["lcfgEdaWrite 0:8","lcfgEdaWrite 2:2","sensor eda start","sub reda add"],
"help":"Starts the eda."},
"eda_16": {"commands":["lcfgEdaWrite 0:16","lcfgEdaWrite 2:2","sensor eda start","sub reda add"],
"help":"Starts the eda."},
"eda_25": {"commands":["lcfgEdaWrite 0:25","lcfgEdaWrite 2:1","sensor eda start","sub reda add"],
"help":"Starts the eda."},
"eda_30": {"commands":["lcfgEdaWrite 0:30","lcfgEdaWrite 2:1","sensor eda start","sub reda add"],
"help":"Starts the eda."},
"use_case_2": {"commands":["quickstart start_log_eda","quickstart start_log_adxl","quickstart start_log_adpd4000_g","quickstart start_log_temperature"],
"help":"Starts the use case 2."},
"eda_dcb": {"commands":["set_eda_dcb_lcfg","sub reda add","sensor eda start"],
"help":"Starts the eda, writes the lcfg from DCB if present"},
"plot-eda": {"commands":["quickstart eda", "plot reda"],
"help":"Quickstarts the EDA and starts a plot of the EDA data."},
"start_log_eda": {"commands":["fs_sub reda add","sensor eda start","delay 5","fs_log start"],
"help":"Start eda"},
"bia": {"commands": ["sensor bia start","sub rbia add"],
"help":"Starts BIA."},
"bcm": {"commands": ["lcfgBiaWrite 5:1","sensor bia start","sub rbia add"],
"help":"Starts BIA and BCM."},
"plot-bia": { "commands":["quickstart bia", "plot rbia"],
"help":"Quickstarts the BIA and starts a plot of the Bia data."},
"plot-ped": { "commands":["quickstart ped", "plot rped"],
"help":"Quickstarts the Pedometer and starts a plot of the Ped count data."},
"start_log_bia": {"commands":["fs_sub rbia add","sensor bia start","fs_log start"],
"help":"Start bia logging"},
"start_log_bcm": {"commands":["lcfgBiaWrite 5:1","fs_sub rbia add","sensor bia start","fs_log start"],
"help":"Start bia and bcm logging"},
"start_range_sweep_bia": {"commands":["lcfgBiaWrite 18:1","lcfgBiaWrite 20:1000","lcfgBiaWrite 21:50000","lcfgBiaWrite 22:100","lcfgBiaWrite 23:1","lcfgBiaWrite 24:0","quickstart bia"],
"help":"Start bia with sweep range"},
"start_fixed_sweep_bia": {"commands":["lcfgBiaWrite 19:1","lcfgBiaWrite 25:100000","quickstart bia"],
"help":"Start bia"},
"start_stop_adpd4k": {"commands":["quickstart adpd4000","quickstop adpd4000"],
"help":"Start - stop tests addp4k "},
"start_stop_230": {"commands":["quickstart adxl","quickstart adpd4000","quickstart eda", "sensor temperature start","sub rtemperature add","quickstop adxl","quickstop adpd4000","quickstop eda", "sub rtemperature remove","sensor temperature stop"],
"help":"Start - stop tests addp4k "},
"mv_uc1_streaming_start": {"commands":["loadAdpdCfg 40","reg w adpd4000 0x0D:0x07D0","clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add", "delay 1", "sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add"],
"help":"Start MV UC1 streaming "},
"adpd500Hz_stream_start_stop": {"commands":["loadAdpdCfg 40","reg w adpd4000 0x0D:0x07D0","clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add", "delay 2", "quickstop adpd4000"],
"help":"Start adpd at 500Hz streaming "},
"mv_uc1_245_issue": {"commands":["write_dcb_config adpd4000 UseCase1.dcfg","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop","delete_dcb_config adpd4000","sensor adpd4000 start","sensor adpd4000 stop","loadAdpdCfg 40","reg w adpd4000 0x0D:0x07D0","clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop"],
"help":"Start MV UC1 245 issue commands"},
"mv_uc1_245_issue_200Hz": {"commands":["write_dcb_config adpd4000 UseCase1_200Hz.dcfg","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop","delete_dcb_config adpd4000","sensor adpd4000 start","sensor adpd4000 stop","loadAdpdCfg 40","reg w adpd4000 0x0D:0x1388","clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop"],
"help":"Start MV UC1 245 issue commands"},
"mv_uc1_245_issue_300Hz": {"commands":["write_dcb_config adpd4000 UseCase1_300Hz.dcfg","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop","delete_dcb_config adpd4000","sensor adpd4000 start","sensor adpd4000 stop","loadAdpdCfg 40","reg w adpd4000 0x0D:0x0D05","clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop"],
"help":"Start MV UC1 245 issue commands"},
"mv_uc1_245_issue_wo_dcb": {"commands":["loadAdpdCfg 40","reg w adpd4000 0x0D:0x07D0","clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop","loadAdpdCfg 40","reg w adpd4000 0x0D:0x07D0","clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","quickstart adpd_reg_tab_update","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add","delay 1","quickstop mv_uc1_streaming_stop"],
"help":"Start MV UC1 245 issue commands"},
"adpd_dcb_test": {"commands":["write_dcb_config adpd4000 adpd4000_dcb_test1.dcfg","delay 4","read_dcb_config adpd4000","delay 4","compare_cfg_files adpd4000_dcb_test1.dcfg adpd4000_dcb_get.dcfg","delete_dcb_config adpd4000","delay 4"],
"help":"Starts the adpd dcb test."},
"adxl_dcb_test": {"commands":["write_dcb_config adxl adxl_dcb_test1.dcfg","delay 4","read_dcb_config adxl","delay 4","compare_cfg_files adxl_dcb_test1.dcfg adxl_dcb_get.dcfg","delete_dcb_config adxl","delay 4"],
"help":"Starts the adxl dcb test."},
"ppg_dcb_test": {"commands":["write_dcb_config ppg ppg_dcb.lcfg","delay 4","read_dcb_config ppg","delay 4","compare_cfg_files ppg_dcb.lcfg ppg_dcb_get.lcfg","delete_dcb_config ppg","delay 4"],
"help":"Starts the ppg dcb test."},
"ecg_dcb_test": {"commands":["write_dcb_config ecg ecg_dcb.lcfg","delay 2","read_dcb_config ecg","delay 2","compare_cfg_files ecg_dcb.lcfg ecg_dcb_get.lcfg","delete_dcb_config ecg","delay 4"],
"help":"Starts the ecg dcb test."},
"eda_dcb_test": {"commands":["write_dcb_config eda eda_dcb.lcfg","delay 2","read_dcb_config eda","delay 2","compare_cfg_files eda_dcb.lcfg eda_dcb_get.lcfg","delete_dcb_config eda","delay 4"],
"help":"Starts the eda dcb test."},
"dcb_test": {"commands":["quickstart adpd_dcb_test","quickstart adxl_dcb_test","quickstart ecg_dcb_test","quickstart eda_dcb_test"],
"help":"Starts the dcb test."},
"temp_delete_dcb_test": {"commands":["delete_dcb_config adpd4000","create_adpd4k_dcfg 4:2 5:3","loadAdpdCfg 40","delay 5","sub rtemperature remove",
"sensor temperature stop","reg r adpd4000 0x0170 0x0190"],
"help":"Starts the temp del dcb test."},
"temp_write_dcb_test": {"commands":["write_dcb_config adpd4000 adpd4000_dcb_temp.dcfg","loadAdpdCfg 40","create_adpd4k_dcfg 4:2 5:3",
"loadAdpdCfg 40","delay 5","sub rtemperature remove","sensor temperature stop","reg r adpd4000 0x0170 0x0190"],
"help":"Starts the temp write dcb test."},
"temp_dcb_test": {"commands": ["quickstart temp_delete_dcb_test","quickstart temp_write_dcb_test","quickstart temp_delete_dcb_test"],
"help":"Starts the temp robot dcb test."},
"combined_dcb_write_adpd_test": {"commands": ["delete_dcb_config adpd4000","delay 2","loadAdpdCfg 40","clockCalibration","sub radpd6 add","delay 5","sub radpd6 remove","sensor adpd4000 stop","reg r adpd4000 0x01B0",
"write_dcb_config adpd4000 adpd4000_dcb_test1.dcfg","delay 2","loadAdpdCfg 40","clockCalibration","sensor adpd4000 start","sub radpd6 add","delay 5","reg r adpd4000 0x01B0",
"delay 2","sub radpd6 remove","sensor adpd4000 stop"],
"help":"Starts the adpd robot combined test."},
"combined_dcb_write_adxl_test": {"commands": ["delete_dcb_config adxl","delay 2","sensor adxl start","sub radxl add","delay 5","delay 4","reg r adxl 0x020 0x2C 0x2E","sub radxl remove","sensor adxl stop",
"write_dcb_config adxl adxl_dcb_test1.dcfg","delay 2","sensor adxl start","sub radxl add","delay 5","reg r adxl 0x20 0x2C 0x2E",
"sub radxl remove","sensor adxl stop"],
"help":"Starts the adxl robot combined test."},
"combined_dcb_write_ecg_test": {"commands": ["delete_dcb_config ecg","set_ecg_dcb_lcfg","sensor ecg start","sub recg add","delay 10","sub recg remove","sensor ecg stop",
"write_dcb_config ecg ecg_dcb.lcfg","delay 2","set_ecg_dcb_lcfg","sensor ecg start","sub recg add","delay 10",
"sub recg remove","sensor ecg stop","lcfgEcgRead 0"],
"help":"Starts the ecg robot combined test."},
"combined_dcb_write_eda_test": {"commands": ["delete_dcb_config eda","set_eda_dcb_lcfg","sensor eda start","sub reda add","delay 10","sub recg remove","sensor eda stop","lcfgEdaRead 0","lcfgEdaRead 2",
"write_dcb_config eda eda_dcb.lcfg","delay 2","set_eda_dcb_lcfg","sensor eda start","sub reda add","delay 10",
"sub reda remove","sensor eda stop","lcfgEdaRead 0","lcfgEdaRead 2"],
"help":"Starts the eda robot combined test."},
"combined_dcb_write_ppg_test": {"commands": ["delete_dcb_config ppg","loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","sensor ppg start","sub rppg add","sub rppg remove","sensor ppg stop","lcfgPpgCheck 40 ppg_dcb.lcfg",
"write_dcb_config ppg ppg_dcb.lcfg","delay 5","loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","sensor ppg start","sub rppg add",
"sub rppg remove","sensor ppg stop","lcfgPpgCheck 40 ppg_dcb.lcfg"],
"help":"Starts the ppg robot combined test."},
"combined_dcb_test": {"commands": ["quickstart combined_dcb_adpd_test","quickstart combined_dcb_adxl_test","quickstart combined_dcb_ecg_test","quickstart combined_dcb_eda_test","quickstart combined_dcb_ppg_test"],
"help":"Starts the robot combined test."},
"combined_dcb_ad7156_test": {"commands": ["delete_dcb_config ad7156","delay 2","loadAd7156Cfg","reg r ad7156 0xA 0xB",
"write_dcb_config ad7156 ad7156_dcb_test.dcfg","delay 2","loadAd7156Cfg","reg r ad7156 0xA 0xB",
"delete_dcb_config ad7156","delay 2","loadAd7156Cfg","reg r ad7156 0xA 0xB"],
"help":"Starts the ad7156 robot combined test."},
"combined_del_adpd_dcb_test": {"commands": ["delete_dcb_config adpd4000 ","delay 2","loadAdpdCfg 40","clockCalibration","sensor adpd4000 start",
"sub radpd6 add","delay 5","sub radpd6 remove","sensor adpd4000 stop","reg r adpd4000 0x01B0"],
"help":"Starts the deletion adpd dcb robot combined test."},
"combined_del_adxl_dcb_test": {"commands": ["delete_dcb_config adxl","delay 2","sensor adxl start","sub radxl add","delay 5","reg r adxl 0x020 0x2C 0x2E",
"sub radxl remove","sensor adxl stop"],
"help":"Starts the deletion adxl dcb robot combined test."},
"combined_del_ppg_dcb_test": {"commands": ["delete_dcb_config ppg","loadAdpdCfg 40","clockCalibration","setPpgLcfg 40",
"sensor ppg start","sub rppg add","delay 5","sub rppg remove",
"sensor ppg stop","lcfgPpgCheck 40 ppg_dcb.lcfg"],
"help":"Starts the deletion ppg dcb robot combined test."},
"combined_del_ecg_dcb_test": {"commands": ["delete_dcb_config ecg","set_ecg_dcb_lcfg","sensor ecg start","sub recg add","delay 10",
"sub recg remove","sensor ecg stop","lcfgEcgRead 0"],
"help":"Starts the deletion ecg dcb robot combined test."},
"combined_del_eda_dcb_test": {"commands": ["delete_dcb_config eda","set_eda_dcb_lcfg","sensor eda start","sub reda add","delay 10",
"sub reda remove","sensor eda stop","lcfgEdaRead 0","lcfgEdaRead 2"],
"help":"Starts the deletion eda dcb robot combined test."},
"combined_dcb_adpd_test": {"commands": ["quickstart combined_dcb_write_adpd_test","quickstart combined_del_adpd_dcb_test"],
"help":"Starts adpd dcb robot combined test."},
"combined_dcb_adxl_test": {"commands": ["quickstart combined_dcb_write_adxl_test","quickstart combined_del_adxl_dcb_test"],
"help":"Starts adxl dcb robot combined test."},
"combined_dcb_ppg_test": {"commands": ["quickstart combined_dcb_write_ppg_test","quickstart combined_del_ppg_dcb_test"],
"help":"Starts ppg dcb robot combined test."},
"combined_dcb_ecg_test": {"commands": ["quickstart combined_dcb_write_ecg_test","quickstart combined_del_ecg_dcb_test"],
"help":"Starts ecg dcb robot combined test."},
"combined_dcb_eda_test": {"commands": ["quickstart combined_dcb_write_eda_test","quickstart combined_del_eda_dcb_test"],
"help":"Starts eda dcb robot combined test."},
"adxl_dcb_test_2_chunk1": {"commands": ["delete_dcb_config adxl","delay 2","sensor adxl start","sub radxl add","delay 4","reg r adxl 0x020 0x2C 0x2E",
"sub radxl remove","sensor adxl stop"],
"help":"Starts the adxl dcb test 2 chunk1 robot test."},
"adxl_dcb_test_2_chunk2": {"commands": ["write_dcb_config adxl adxl_dcb_test1.dcfg","delay 2","sensor adxl start","sub radxl add","delay 5","reg r adxl 0x020 0x2C 0x2E",
"sub radxl remove","sensor adxl stop","delay 2"],
"help":"Starts the adxl dcb test 2 chunk3 robot test."},
"adxl_dcb_test_2_chunk3": {"commands": ["write_dcb_config adxl adxl_dcb_test2.dcfg","delay 2","sensor adxl start","sub radxl add","delay 4","reg r adxl 0x020 0x2C 0x2E",
"sub radxl remove","sensor adxl stop"],
"help":"Starts the adxl dcb test 2 chunk3 robot test."},
"adxl_dcb_test_2_chunk4": {"commands": ["delete_dcb_config adxl ","delay 2","sensor adxl start","sub radxl add","delay 4","reg r adxl 0x020 0x2C 0x2E",
"sub radxl remove","sensor adxl stop"],
"help":"Starts the adxl dcb test 2 chunk4 robot test."},
"adxl_dcb_test_2": {"commands": ["quickstart adxl_dcb_test_2_chunk1","quickstart adxl_dcb_test_2_chunk2","quickstart adxl_dcb_test_2_chunk3","quickstart adxl_dcb_test_2_chunk4"],
"help":"Starts the adxl dcb test 2 robot test."},
"ppg_status_check_robot_test": {"commands": ["sensor ppg start","sub rppg add","sub rppg remove","sensor ppg stop","status ppg","sub rppg add","sub rppg add","sub rppg add",
"status ppg","sub rppg remove","sub rppg remove","status ppg","sub rppg remove","status ppg","sensor ppg start","sensor ppg start",
"sensor ppg start","status ppg","sensor ppg stop","sensor ppg stop","status ppg","sensor ppg stop","status ppg"],
"help":"Starts the ppg robot test."},
#"adpd_reg_tab_update": {"commands":["reg r adpd4000 0x00000 0x0001 0x0002 0x0003 0x0004 0x0005 0x0006 0x0007 0x0008 0x0009", "delay 1", "reg r adpd4000 0x000a 0x000b 0x000c 0x000d 0x000e 0x000F 0x0010 0x0011 0x0012 0x0013", "delay 1", "reg r adpd4000 0x0014 0x0015 0x0016 0x0017 0x0018 0x0019 0x001a 0x001b 0x001c 0x001d", "delay 1", "reg r adpd4000 0x001E 0x0020 0x0021 0x0022 0x0023 0x0024 0x0025 0x002E 0x002F 0x0030", "delay 1", "reg r adpd4000 0x0031 0x0032 0x0033 0x0034 0x0035 0x0036 0x0037 0x0038 0x0039 0x003A", "delay 1", "reg r adpd4000 0x003B 0x003C 0x003D 0x003E 0x003F 0x0040 0x0041 0x0042 0x0043 0x0044", "delay 1", "reg r adpd4000 0x0045 0x0046 0x0047 0x0048 0x0049 0x004A 0x004B 0x004C 0x004D 0x004E", "delay 1", "reg r adpd4000 0x004F 0x0050 0x0051 0x0052 0x0053 0x0054 0x0055 0x0056 0x0057 0x0058", "delay 1", "reg r adpd4000 0x0059 0x005A 0x005B 0x005C 0x005D 0x005E 0x005F 0x0060 0x0061 0x0062", "delay 1", "reg r adpd4000 0x0063 0x0064 0x0065 0x0066 0x0067 0x0068 0x0069 0x006A 0x006B 0x006C", "delay 1", "reg r adpd4000 0x006D 0x006E 0x006F 0x0070 0x0071 0x0072 0x0073 0x0074 0x0075 0x0076", "delay 1", "reg r adpd4000 0x0077 0x0078 0x0079 0x007A 0x007B 0x007C 0x007D 0x007E 0x007F 0x0080", "delay 1", "reg r adpd4000 0x0081 0x0082 0x0083 0x0084 0x0085 0x0086 0x0087 0x0088 0x0089 0x008A", "delay 1", "reg r adpd4000 0x008B 0x008C 0x008D 0x008E 0x008F 0x00A0 0x00A1 0x00A2 0x00A3 0x00A4", "delay 1", "reg r adpd4000 0x00A5 0x00A6 0x00A7 0x00A8 0x00A9 0x00AA 0x00AB 0x00AC 0x00AD 0x00AE", "delay 1", "reg r adpd4000 0x00AF 0x00B0 0x00B1 0x00B2 0x00B3 0x00B4 0x00B5 0x00B6 0x00B7 0x00B8", "delay 1", "reg r adpd4000 0x0100 0x0101 0x0102 0x0103 0x0104 0x0105 0x0106 0x0107 0x0108 0x0109", "delay 1", "reg r adpd4000 0x010A 0x010B 0x010C 0x010D 0x010E 0x010F 0x0110 0x0111 0x0112 0x0113" , "reg r adpd4000 0x0114 0x0115 0x0116 0x0117 0x0120 0x0121 0x0122 0x0123 0x0124 0x0125", "delay 1", "reg r adpd4000 0x0126 0x0127 0x0128 0x0129 0x012A 0x012B 0x012C 0x012D 0x012E 0x012F", "delay 1", "reg r adpd4000 0x0130 0x0131 0x0132 0x0133 0x0134 0x0135 0x0136 0x0137 0x0140 0x0141", "delay 1", "reg r adpd4000 0x0142 0x0143 0x0144 0x0145 0x0146 0x0147 0x0148 0x0149 0x014A 0x014B", "delay 1", "reg r adpd4000 0x014C 0x014D 0x014E 0x014F 0x0150 0x0151 0x0152 0x0153 0x0154 0x0155", "delay 1", "reg r adpd4000 0x0156 0x0157 0x0160 0x0161 0x0162 0x0163 0x0164 0x0165 0x0166 0x0167", "delay 1", "reg r adpd4000 0x0168 0x0169 0x016A 0x016B 0x016C 0x016D 0x016E 0x016F 0x0170 0x0171", "delay 1", "reg r adpd4000 0x0172 0x0173 0x0174 0x0175 0x0176 0x0177 0x0180 0x0181 0x0182 0x0183", "delay 1", "reg r adpd4000 0x0184 0x0185 0x0186 0x0187 0x0188 0x0189 0x018A 0x018B 0x018C 0x018D", "delay 1", "reg r adpd4000 0x018E 0x018F 0x0190 0x0191 0x0192 0x0193 0x0194 0x0195 0x0196 0x0197", "delay 1", "reg r adpd4000 0x01A0 0x01A1 0x01A2 0x01A3 0x01A4 0x01A5 0x01A6 0x01A7 0x01A8 0x01A9", "delay 1", "reg r adpd4000 0x01AA 0x01AB 0x01AC 0x01AD 0x01AE 0x01AF 0x01B0 0x01B1 0x01B2 0x01B3", "delay 1", "reg r adpd4000 0x01B4 0x01B5 0x01B6 0x01B7 0x01C0 0x01C1 0x01C2 0x01C3 0x01C4 0x01C5", "delay 1", "reg r adpd4000 0x01C6 0x01C7 0x01C8 0x01C9 0x01CA 0x01CB 0x01CC 0x01CD 0x01CE 0x01CF", "delay 1", "reg r adpd4000 0x01D0 0x01D1 0x01D2 0x01D3 0x01D4 0x01D5 0x01D6 0x01D7 0x01E0 0x01E1", "delay 1", "reg r adpd4000 0x01E2 0x01E3 0x01E4 0x01E5 0x01E6 0x01E7 0x01E8 0x01E9 0x01EA 0x01EB", "delay 1", "reg r adpd4000 0x01EC 0x01ED 0x01EE 0x01EF 0x01F0 0x01F1 0x01F2 0x01F3 0x01F4 0x01F5", "delay 1", "reg r adpd4000 0x01F6 0x01F7 0x0200 0x0201 0x0202 0x0203 0x0204 0x0205 0x0206 0x0207", "delay 1", "reg r adpd4000 0x0208 0x0209 0x020A 0x020B 0x020C 0x020D 0x020E 0x020F 0x0210 0x0211", "delay 1", "reg r adpd4000 0x0212 0x0213 0x0214 0x0215 0x0216 0x0217 0x0220 0x0221 0x0222 0x0223", "delay 1", "reg r adpd4000 0x0224 0x0225 0x0226 0x0227 0x0228 0x0229 0x022A 0x022B 0x022C 0x022D", "delay 1", "reg r adpd4000 0x022E 0x022F 0x0230 0x0231 0x0232 0x0233 0x0234 0x0235 0x0236 0x0237", "delay 1", "reg r adpd4000 0x0240 0x0241 0x0242 0x0243 0x0244 0x0245 0x0246 0x0247 0x0248 0x0249", "delay 1", "reg r adpd4000 0x024A 0x024B 0x024C 0x024D 0x024E 0x024F 0x0250 0x0251 0x0252 0x0253", "delay 1", "reg r adpd4000 0x0254 0x0255 0x0256 0x0257 0x0260 0x0261 0x0262 0x0263 0x0264 0x0265", "delay 1", "reg r adpd4000 0x0266 0x0267 0x0268 0x0269 0x026A 0x026B 0x026C 0x026D 0x026E 0x026F", "delay 1", "reg r adpd4000 0x0270 0x0271 0x0272 0x0273 0x0274 0x0275 0x0276 0x0277"],
"adpd_reg_tab_update": {"commands":["reg r adpd4000 0x00000 0x0001 0x0002 0x0003 0x0004 0x0005 0x0006 0x0007 0x0008 0x0009", "reg r adpd4000 0x000a 0x000b 0x000c 0x000d 0x000e 0x000F 0x0010 0x0011 0x0012 0x0013", "reg r adpd4000 0x0014 0x0015 0x0016 0x0017 0x0018 0x0019 0x001a 0x001b 0x001c 0x001d", "reg r adpd4000 0x001E 0x0020 0x0021 0x0022 0x0023 0x0024 0x0025 0x002E 0x002F 0x0030", "reg r adpd4000 0x0031 0x0032 0x0033 0x0034 0x0035 0x0036 0x0037 0x0038 0x0039 0x003A", "reg r adpd4000 0x003B 0x003C 0x003D 0x003E 0x003F 0x0040 0x0041 0x0042 0x0043 0x0044", "reg r adpd4000 0x0045 0x0046 0x0047 0x0048 0x0049 0x004A 0x004B 0x004C 0x004D 0x004E", "reg r adpd4000 0x004F 0x0050 0x0051 0x0052 0x0053 0x0054 0x0055 0x0056 0x0057 0x0058", "reg r adpd4000 0x0059 0x005A 0x005B 0x005C 0x005D 0x005E 0x005F 0x0060 0x0061 0x0062", "reg r adpd4000 0x0063 0x0064 0x0065 0x0066 0x0067 0x0068 0x0069 0x006A 0x006B 0x006C", "reg r adpd4000 0x006D 0x006E 0x006F 0x0070 0x0071 0x0072 0x0073 0x0074 0x0075 0x0076", "reg r adpd4000 0x0077 0x0078 0x0079 0x007A 0x007B 0x007C 0x007D 0x007E 0x007F 0x0080", "reg r adpd4000 0x0081 0x0082 0x0083 0x0084 0x0085 0x0086 0x0087 0x0088 0x0089 0x008A", "reg r adpd4000 0x008B 0x008C 0x008D 0x008E 0x008F 0x00A0 0x00A1 0x00A2 0x00A3 0x00A4", "reg r adpd4000 0x00A5 0x00A6 0x00A7 0x00A8 0x00A9 0x00AA 0x00AB 0x00AC 0x00AD 0x00AE", "reg r adpd4000 0x00AF 0x00B0 0x00B1 0x00B2 0x00B3 0x00B4 0x00B5 0x00B6 0x00B7 0x00B8", "reg r adpd4000 0x0100 0x0101 0x0102 0x0103 0x0104 0x0105 0x0106 0x0107 0x0108 0x0109", "reg r adpd4000 0x010A 0x010B 0x010C 0x010D 0x010E 0x010F 0x0110 0x0111 0x0112 0x0113" , "reg r adpd4000 0x0114 0x0115 0x0116 0x0117 0x0120 0x0121 0x0122 0x0123 0x0124 0x0125", "reg r adpd4000 0x0126 0x0127 0x0128 0x0129 0x012A 0x012B 0x012C 0x012D 0x012E 0x012F", "reg r adpd4000 0x0130 0x0131 0x0132 0x0133 0x0134 0x0135 0x0136 0x0137 0x0140 0x0141", "reg r adpd4000 0x0142 0x0143 0x0144 0x0145 0x0146 0x0147 0x0148 0x0149 0x014A 0x014B", "reg r adpd4000 0x014C 0x014D 0x014E 0x014F 0x0150 0x0151 0x0152 0x0153 0x0154 0x0155", "reg r adpd4000 0x0156 0x0157 0x0160 0x0161 0x0162 0x0163 0x0164 0x0165 0x0166 0x0167", "reg r adpd4000 0x0168 0x0169 0x016A 0x016B 0x016C 0x016D 0x016E 0x016F 0x0170 0x0171", "reg r adpd4000 0x0172 0x0173 0x0174 0x0175 0x0176 0x0177 0x0180 0x0181 0x0182 0x0183", "reg r adpd4000 0x0184 0x0185 0x0186 0x0187 0x0188 0x0189 0x018A 0x018B 0x018C 0x018D", "reg r adpd4000 0x018E 0x018F 0x0190 0x0191 0x0192 0x0193 0x0194 0x0195 0x0196 0x0197", "reg r adpd4000 0x01A0 0x01A1 0x01A2 0x01A3 0x01A4 0x01A5 0x01A6 0x01A7 0x01A8 0x01A9", "reg r adpd4000 0x01AA 0x01AB 0x01AC 0x01AD 0x01AE 0x01AF 0x01B0 0x01B1 0x01B2 0x01B3", "reg r adpd4000 0x01B4 0x01B5 0x01B6 0x01B7 0x01C0 0x01C1 0x01C2 0x01C3 0x01C4 0x01C5", "reg r adpd4000 0x01C6 0x01C7 0x01C8 0x01C9 0x01CA 0x01CB 0x01CC 0x01CD 0x01CE 0x01CF", "reg r adpd4000 0x01D0 0x01D1 0x01D2 0x01D3 0x01D4 0x01D5 0x01D6 0x01D7 0x01E0 0x01E1", "reg r adpd4000 0x01E2 0x01E3 0x01E4 0x01E5 0x01E6 0x01E7 0x01E8 0x01E9 0x01EA 0x01EB", "reg r adpd4000 0x01EC 0x01ED 0x01EE 0x01EF 0x01F0 0x01F1 0x01F2 0x01F3 0x01F4 0x01F5", "reg r adpd4000 0x01F6 0x01F7 0x0200 0x0201 0x0202 0x0203 0x0204 0x0205 0x0206 0x0207", "reg r adpd4000 0x0208 0x0209 0x020A 0x020B 0x020C 0x020D 0x020E 0x020F 0x0210 0x0211", "reg r adpd4000 0x0212 0x0213 0x0214 0x0215 0x0216 0x0217 0x0220 0x0221 0x0222 0x0223", "reg r adpd4000 0x0224 0x0225 0x0226 0x0227 0x0228 0x0229 0x022A 0x022B 0x022C 0x022D", "reg r adpd4000 0x022E 0x022F 0x0230 0x0231 0x0232 0x0233 0x0234 0x0235 0x0236 0x0237", "reg r adpd4000 0x0240 0x0241 0x0242 0x0243 0x0244 0x0245 0x0246 0x0247 0x0248 0x0249", "reg r adpd4000 0x024A 0x024B 0x024C 0x024D 0x024E 0x024F 0x0250 0x0251 0x0252 0x0253", "reg r adpd4000 0x0254 0x0255 0x0256 0x0257 0x0260 0x0261 0x0262 0x0263 0x0264 0x0265", "reg r adpd4000 0x0266 0x0267 0x0268 0x0269 0x026A 0x026B 0x026C 0x026D 0x026E 0x026F", "reg r adpd4000 0x0270 0x0271 0x0272 0x0273 0x0274 0x0275 0x0276 0x0277"],
"help":"ADPD Reg Table update - 448 registers are updated"},
#"start_config_log_test": { "commands":[ "fs_config_log start","quickstart start_log_syncppg","quickstart start_log_ecg","quickstart start_log_eda","quickstart start_log_temperature","quickstop stop_log_syncppg","quickstop stop_log_ecg","quickstop stop_log_eda","quickstop stop_log_temperature","fs_config_log_file write","fs_config_log stop", "pm_activate_touch_sensor"],
"start_config_log_test": { "commands":[ "fs_config_log start","quickstart start_log_ecg","quickstop stop_log_ecg","fs_config_log_file write","fs_config_log stop", "pm_activate_touch_sensor"],
"help":"Starts logging pre-defined user config data into DCFG sectors of LFS"},
"config_write_test": { "commands":[ "fs_config_log start","quickstart start_log_adpd4000_g","quickstop stop_log_adpd4000_g","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of pre-defined user config data into DCFG sectors of LFS"},
"nand_config_file_create_mv_uc1": { "commands":[ "fs_config_log start","quickstart start_log_mv_uc1", "quickstop stop_log_mv_uc1","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC1 log commands, as user config file into DCFG sectors of LFS"},
"nand_config_file_create_mv_uc2": { "commands":[ "fs_config_log start","quickstart start_log_mv_uc2", "quickstop stop_log_mv_uc2","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC2 log commands, as user config file into DCFG sectors of LFS"},
"nand_config_file_create_mv_uc3": { "commands":[ "fs_config_log start","quickstart start_log_mv_uc3", "quickstop stop_log_mv_uc3","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC3 log commands, as user config file into DCFG sectors of LFS"},
"nand_config_file_create_mv_uc4": { "commands":[ "fs_config_log start","quickstart start_log_mv_uc4", "quickstop stop_log_mv_uc4","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC4 log commands, as user config file into DCFG sectors of LFS"},
"nand_config_file_create_mv_uc5": { "commands":[ "fs_config_log start","quickstart start_log_mv_uc5", "quickstop stop_log_mv_uc5","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC5 log commands, as user config file into DCFG sectors of LFS"},
"nand_config_file_create_mv_uc6": { "commands":[ "fs_config_log start","quickstart start_log_mv_uc6", "quickstop stop_log_mv_uc6","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC6 log commands, as user config file into DCFG sectors of LFS"},
"nand_config_file_create_nk_uc": { "commands":[ "fs_config_log start","quickstart start_log_nk_uc", "quickstop stop_log_nk_uc","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC2 log commands, as user config file into DCFG sectors of LFS"},
"nand_config_file_create_nk_uc_set_bat_thresh": { "commands":[ "fs_config_log start","quickstart start_log_nk_uc_set_bat_thresh", "quickstop stop_log_nk_uc","fs_config_log_file write","fs_config_log stop"],
"help":"Starts creation of MV UC2 log commands, as user config file into DCFG sectors of LFS"},
"eda_freq_seq_test": {"commands":["quickstart eda_4","delay 7","quickstop eda","quickstart eda_8","delay 7","quickstop eda", "quickstart eda_4","delay 7","quickstop eda","quickstart eda_16","delay 7","quickstop eda", "quickstart eda_8","delay 7","quickstop eda", "quickstart eda_4","delay 7","quickstop eda", "quickstart eda_16","delay 7","quickstop eda"],
"help":"Start EDA frquency change test: 4->8->4->16->8->4->16"},
"gen_blk_dcb_file_create_test1": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_adpd4000_r_adxl", "quickstop stop_log_adpd4000_r_adxl", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with adpd4000_r_adxl log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_test2": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_eda", "quickstop stop_log_eda", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with EDA log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_test3": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_adpd4000_r", "quickstop stop_log_adpd4000_r", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with adpd4000_r log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_test4": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_ecg", "quickstop stop_log_ecg", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with ECG log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_mv_uc1": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_mv_uc1", "quickstop stop_log_mv_uc1", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with MV UC1 log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_mv_uc2": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_mv_uc2", "quickstop stop_log_mv_uc2", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with MV UC2 log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_mv_uc3": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_mv_uc3", "quickstop stop_log_mv_uc3", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with MV UC3 log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_mv_uc4": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_mv_uc4", "quickstop stop_log_mv_uc4", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with MV UC4 log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"gen_blk_dcb_file_create_mv_uc5": { "commands":[ "create_gen_blk_dcb start", "quickstart start_log_mv_uc5", "quickstop stop_log_mv_uc5", "gen_blk_dcb_file_create write", "create_gen_blk_dcb stop"],
"help":"Starts the creation of file with MV UC5 log commands, that will be put in General Block DCB, which will be used for LT application; Copies this file to dcb_cfg folder as gen_blk_dcb.lcfg"},
"start_dcb_low_touch_test": { "commands":[ "quickstart gen_blk_dcb_file_create_test", "write_dcb_config lt_dcb_config gen_blk_dcb.lcfg", "pm_activate_touch_sensor"],
"help":"Generate DCB file, write DCB, Start Low touch with DCB configurations"},
"ppg_dark_test": {"commands":["delete_dcb_config adpd4000","write_dcb_config adpd4000 ppg_dark_test.dcfg","toggleSaveCSV","quickstart adpd4000","plot radpd6","delay 5","quickstop adpd4000","toggleSaveCSV","delete_dcb_config adpd4000"],
"help":"Quickstarts the PPG dark test for 5 secs and saves the PPG data as CSV file"},
"ppg_static_agc_dis_50Hz_test": {"commands":["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010 0x7 0x32", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg", "delay 120", "quickstop ppg"],
"help":"Quickstarts the PPG with changes in lcfg to disable STATIC AGC, run ADPD at 50Hz "},
"ppg_static_agc_en_50Hz_test": {"commands": ["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1210 0x7 0x32", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg","delay 120", "quickstop ppg"],
"help":"Quickstarts the PPG with changes in lcfg to enable STATIC AGC, run ADPD at 50Hz "},
"ppg_static_agc_en_100Hz_test": {"commands": ["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1210 0x7 0x64", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg","delay 120", "quickstop ppg"],
"help":"Quickstarts the PPG with changes in lcfg to enable STATIC AGC, run ADPD at 100Hz "},
"ppg_static_agc_en_500Hz_test": {"commands": ["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1210 0x7 0x1F4", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg","delay 120", "quickstop ppg"],
"help":"Quickstarts the PPG with changes in lcfg to enable STATIC AGC, run ADPD at 500Hz "},
"ppg_static_agc_dis_100Hz_test": {"commands": ["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010 0x7 0x64", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg","delay 120", "quickstop ppg"],
"help":"Quickstarts the PPG with changes in lcfg to disable STATIC AGC, run ADPD at 100Hz "},
"ppg_static_agc_dis_500Hz_test": {"commands": ["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010 0x7 0x1F4", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg","delay 120", "quickstop ppg"],
"help":"Quickstarts the PPG with changes in lcfg to disable STATIC AGC, run ADPD at 500Hz "},
"ppg_static_agc_en_50Hz_recalibrate_test": {"commands": ["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1210 0x7 0x32", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg","delay 5", "sensor ppg stop", "sensor ppg start", "delay 15", "quickstop ppg"],
"help":"Quickstarts the PPG with changes in lcfg to enable STATIC AGC, run ADPD at 50Hz, run for 5secs, Do AGC recalibrate, run for 15 sec"},
"ppg_static_agc_on": {"commands": ["setPpgLcfg 40","lcfgPpgWrite 0x4 0x1210", "sensor ppg start", "sub rppg add", "plot rsyncppg","plot rppg"],
"help":"Turns PPG static AGC ON in ppg lcfg- ppg app start to follow, after this command"},
"ppg_static_agc_off": {"commands": ["setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add", "plot rsyncppg","plot rppg"],
"help":"Turns PPG static AGC OFF in ppg lcfg- ppg app start to follow, after this command"},
"ppg_static_agc_on_off_test": {"commands": ["loadAdpdCfg 40","clockCalibration","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1210", "sensor ppg start", "sub rppg add", "plot rppg", "plot rsyncppg","delay 10","sub rppg remove","sensor ppg stop","setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010","sub rppg add","sensor ppg start","delay 20","quickstop ppg"],
"help":"Turns PPG static AGC ON, starts ppg app, stops ppg app, Turns PPG static AGC OFF, starts ppg app, stops ppg app"},
"mwl_view": {"commands": ["loadAdpdCfg 44","clockCalibration", "adpdAGCControl 0:1", "sensor adpd4000 start", "sub radpd6 add","sub radpd7 add","sub radpd8 add","sub radpd9 add", "plot radpd6", "plot radpd7","plot radpd8","plot radpd9"],
"help":"Opens MWL view with Green, Red, IR, Blue LED from Slot F, G, H, I of ADPD4000"},
"mwl_view_agc_off": {"commands": ["loadAdpdCfg 44","clockCalibration","adpdAGCControl 0:0", "sensor adpd4000 start", "sub radpd6 add","sub radpd7 add","sub radpd8 add","sub radpd9 add","plot radpd6", "plot radpd7","plot radpd8","plot radpd9"],
"help":"Opens MWL view with Green, Red, IR, Blue LED from Slot F, G, H, I of ADPD4000, with static AGC OFF"},
"eda_dcfg_test": {"commands":[ "edadcfg_write 1","loadEdaDcfg","edadcfg_read","lcfgEdaWrite 0:4","sub add reda","sensor eda start"],
"help":"DCFG reg commands usage for EDA app and start sensor"},
"eda_reg_read_write_test":{"commands":["LDOControl 3 1","reg r eda 0x0400","reg r eda 0x0404","reg r eda 0x20D0","reg w eda 0x20D0:0x3000C1","reg r eda 0x20D0","LDOControl 3 0"],
"help": "eda register read write test"},
"running_eda_reg_read_test" : {"commands":["quickstart eda", "reg r eda 0x0400","reg r eda 0x0404","quickstop eda"],
"help": "eda register read test while eda is running"},
###################################################################################################################
#### Commands for Slot Switching, to be used only when Watch is loaded with FW built with "SLOT_SELECT" macro ####
#################################################################################################################
"adpd4000_g_A": { "commands":["create_adpd4k_dcfg 1:4", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration","adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for green LED in slot-A, with Static AGC ON"},
"adpd4000_g_B": { "commands":["create_adpd4k_dcfg 2:4", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for green LED in slot-B, with Static AGC ON"},
"adpd4000_r_A": { "commands":["create_adpd4k_dcfg 1:5", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration", "adpdAGCControl 2:1", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for red LED in slot-A, with Static AGC ON"},
"adpd4000_r_B": { "commands":["create_adpd4k_dcfg 2:5", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration", "adpdAGCControl 2:1", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for red LED in slot-B, with Static AGC ON"},
"adpd4000_ir_A": { "commands":["create_adpd4k_dcfg 1:6", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration", "adpdAGCControl 3:1", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for ir LED in slot-A, with Static AGC ON"},
"adpd4000_ir_B": { "commands":["create_adpd4k_dcfg 2:6", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration", "adpdAGCControl 3:1", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for ir LED in slot-B, with Static AGC ON"},
"adpd4000_b_A": { "commands":["create_adpd4k_dcfg 1:7", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration", "adpdAGCControl 4:1", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for blue LED in slot-A, with Static AGC ON"},
"adpd4000_b_B": { "commands":["create_adpd4k_dcfg 2:7", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x4E20", "clockCalibration", "adpdAGCControl 4:1", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for blue LED in slot-B, with Static AGC ON"},
"adpd4000_g_A_agc_off": { "commands":["create_adpd4k_dcfg 1:4", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for green LED in slot-A, with Static AGC OFF"},
"adpd4000_g_B_agc_off": { "commands":["create_adpd4k_dcfg 2:4", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for green LED in slot-B, with Static AGC OFF"},
"adpd4000_r_A_agc_off": { "commands":["create_adpd4k_dcfg 1:5", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for red LED in slot-A, with Static AGC OFF"},
"adpd4000_r_B_agc_off": { "commands":["create_adpd4k_dcfg 2:5", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for red LED in slot-B, with Static AGC OFF"},
"adpd4000_ir_A_agc_off": { "commands":["create_adpd4k_dcfg 1:6", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for ir LED in slot-A, with Static AGC OFF"},
"adpd4000_ir_B_agc_off": { "commands":["create_adpd4k_dcfg 2:6", "loadAdpdCfg 40", "clockCalibration","reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for ir LED in slot-B, with Static AGC OFF"},
"adpd4000_b_A_agc_off": { "commands":["create_adpd4k_dcfg 1:7", "loadAdpdCfg 40", "clockCalibration","reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd1 add"],
"help":"starts adpd4k with the DCFG for blue LED in slot-A, with Static AGC OFF"},
"adpd4000_b_B_agc_off": { "commands":["create_adpd4k_dcfg 2:7", "loadAdpdCfg 40", "clockCalibration","reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start", "sub radpd2 add"],
"help":"starts adpd4k with the DCFG for blue LED in slot-B, with Static AGC OFF"},
"ppg_A": {"commands":["create_adpd4k_dcfg 1:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot A, with Static AGC ON"},
"ppg_B": {"commands":["create_adpd4k_dcfg 2:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot B, with Static AGC ON"},
"ppg_C": {"commands":["create_adpd4k_dcfg 3:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot C, with Static AGC ON"},
"ppg_F": {"commands":["create_adpd4k_dcfg 6:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot F, with Static AGC ON"},
"ppg_A_agc_off": {"commands":["create_adpd4k_dcfg 1:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot A"},
"ppg_B_agc_off": {"commands":["create_adpd4k_dcfg 2:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot B"},
"ppg_C_agc_off": {"commands":["create_adpd4k_dcfg 3:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot C"},
"ppg_F_agc_off": {"commands":["create_adpd4k_dcfg 6:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add"],
"help": "starts ppg in slot F"},
"temp_AB": { "commands":["create_adpd4k_dcfg 1:2 2:3", "loadAdpdCfg 40", "sensor temperature start", "sub rtemperature add"],
"help":"Start Temperature in slot A&B"},
"temp_BC": { "commands":["create_adpd4k_dcfg 2:2 3:3", "loadAdpdCfg 40", "sensor temperature start", "sub rtemperature add"],
"help":"Start Temperature in slot B&C"},
"temp_DE": { "commands":["create_adpd4k_dcfg 4:2 5:3", "loadAdpdCfg 40", "sensor temperature start", "sub rtemperature add"],
"help":"Start Temperature in slot D&E"},
"ecg4k_A": { "commands":[ "controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 1:0", "loadAdpdCfg 40","SetEcg4kLcfg 0:300", "clockCalibration", "sensor adpd4000 start", "sub radpd1 add"],
"help":"Setup the ADPD for measuring ecg in slot A."},
"ppg_temp_ABC_agc_off": {"commands":["create_adpd4k_dcfg 1:1 2:2 3:3", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add", "sensor temperature start", "sub rtemperature add"],
"help": "starts ppg in Slot-A and temp using slot B and C"},
"temp_ppg_ABC_agc_off": {"commands":["create_adpd4k_dcfg 1:2 2:3 3:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add", "sensor temperature start", "sub rtemperature add"],
"help": "starts ppg in Slot-C and temp using slot A and B"},
"ecg4k_ppg_temp_agc_off": {"commands":["controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 1:0 2:1 3:2 4:3", "loadAdpdCfg 40", "SetEcg4kLcfg 0:300", "clockCalibration", "setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add", "delay 1","sensor adpd4000 start", "sub radpd1 add", "delay 1", "sensor temperature start", "sub rtemperature add"],
"help": "starts ecg in Slot A, ppg in Slot-B and temp using slot C and D"},
"ecg4k_temp_ppg_agc_off": {"commands":["controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 1:0 2:2 3:3 4:1", "loadAdpdCfg 40", "SetEcg4kLcfg 0:300", "clockCalibration", "setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add", "delay 1","sensor adpd4000 start", "sub radpd1 add", "delay 1", "sensor temperature start", "sub rtemperature add"],
"help": "starts ecg in Slot A, ppg in Slot-D and temp using slot B and C"},
"ecg4k_temp": {"commands":["controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 1:0 2:2 3:3", "loadAdpdCfg 40", "SetEcg4kLcfg 0:300", "clockCalibration", "sensor adpd4000 start", "sub radpd1 add", "sensor temperature start", "sub rtemperature add"],
"help": "starts ecg in Slot A, and temp using slot B and C"},
"ecg4k_ppg_agc_off": {"commands":["controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 1:0 2:1", "loadAdpdCfg 40", "SetEcg4kLcfg 0:300", "clockCalibration", "setPpgLcfg 40","lcfgPpgWrite 0x4 0x1010", "sensor ppg start", "sub rppg add", "sensor adpd4000 start", "sub radpd1 add"],
"help": "starts ecg in Slot A and ppg in Slot-B"},
"ppg_temp_ABC": {"commands":["create_adpd4k_dcfg 1:1 2:2 3:3", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add", "sensor temperature start", "sub rtemperature add"],
"help": "starts ppg in Slot-A and temp using slot B and C"},
"temp_ppg_ABC": {"commands":["create_adpd4k_dcfg 1:2 2:3 3:1", "loadAdpdCfg 40", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add", "sensor temperature start", "sub rtemperature add"],
"help": "starts ppg in Slot-C and temp using slot A and B"},
"ecg4k_ppg_temp": {"commands":["controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 1:0 2:1 3:2 4:3", "loadAdpdCfg 40", "SetEcg4kLcfg 0:300", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add", "delay 1","sensor adpd4000 start", "sub radpd1 add", "delay 1", "sensor temperature start", "sub rtemperature add"],
"help": "starts ecg in Slot A, ppg in Slot-B and temp using slot C and D"},
"ecg4k_temp_ppg": {"commands":["controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 1:0 2:2 3:3 4:1", "loadAdpdCfg 40", "SetEcg4kLcfg 0:300", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add", "delay 1","sensor adpd4000 start", "sub radpd1 add", "delay 1", "sensor temperature start", "sub rtemperature add"],
"help": "starts ecg in Slot A, ppg in Slot-D and temp using slot B and C"},
"ecg4k_ppg": {"commands":["controlECGElectrodeSwitch 4k_sw 1", "create_adpd4k_dcfg 0:0 1:1", "loadAdpdCfg 40", "SetEcg4kLcfg 0:300", "clockCalibration", "setPpgLcfg 40", "sensor ppg start", "sub rppg add", "sensor adpd4000 start", "sub radpd1 add"],
"help": "starts ecg in Slot A and ppg in Slot-B"},
"mwl_view_ABCD": {"commands": ["create_adpd4k_dcfg 1:4 2:5 3:6 4:7", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20","sensor adpd4000 start", "sub radpd1 add","sub radpd2 add","sub radpd3 add","sub radpd4 add", "plot radpd1", "plot radpd2","plot radpd3","plot radpd4"],
"help":"Opens MWL view with Green, Red, IR, Blue LED from Slot A, B, C, D of ADPD4000"},
"mwl_view_ABCD_agc_off": {"commands": ["create_adpd4k_dcfg 1:4 2:5 3:6 4:7", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "adpdAGCControl 0:0", "sensor adpd4000 start","sub radpd1 add","sub radpd2 add","sub radpd3 add","sub radpd4 add", "plot radpd1", "plot radpd2","plot radpd3","plot radpd4"],
"help":"Opens MWL view with Green, Red, IR, Blue LED from Slot A, B, C, D of ADPD4000"},
"mwl_view_FGHI": {"commands": ["create_adpd4k_dcfg 6:4 7:5 8:6 9:7", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "sensor adpd4000 start","sub radpd6 add","sub radpd7 add","sub radpd8 add","sub radpd9 add", "plot radpd6", "plot radpd7","plot radpd8","plot radpd9"],
"help":"Opens MWL view with Green, Red, IR, Blue LED from Slot F, G, H, I of ADPD4000"},
"mwl_view_FGHI_agc_off": {"commands": ["create_adpd4k_dcfg 6:4 7:5 8:6 9:7", "loadAdpdCfg 40", "clockCalibration", "reg w adpd4000 0x0D:0x4E20", "adpdAGCControl 0:0", "sensor adpd4000 start","sub radpd6 add","sub radpd7 add","sub radpd8 add","sub radpd9 add", "plot radpd6", "plot radpd7","plot radpd8","plot radpd9"],
"help":"Opens MWL view with Green, Red, IR, Blue LED from Slot F, G, H, I of ADPD4000"},
"uc_hr_enab_adpd50_adxl50": {"commands": ["setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6", "plot rppg", "plot radpd6", "plot radxl", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add", "sensor adxl start","sub radxl add"],
"help":"Starts UC HR enable test"},
"uc_hr_enab_adpd50": {"commands": ["sub rppg add", "setUCHREnab 1 6", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add"],
"help":"Starts UC HR enable test only with ADPD"},
"start_log_uc_hr_enab_adpd50": {"commands": ["fs_sub rppg add", "setUCHREnab 1 6", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "fs_sub radpd6 add","fs_log start"],
"help":"Starts UC HR enable test only with ADPD"},
"uc_hr_enab_adpd100_adxl50": {"commands": ["setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6", "plot rppg", "plot radpd6", "plot radxl", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x2710", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add", "quickstart adxl"],
"help":"Starts UC HR enable test"},
"uc_hr_enab_adpd500_adxl50": {"commands": ["setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6", "plot rppg", "plot radpd6", "plot radxl", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x07D0", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add", "quickstart adxl"],
"help":"Starts UC HR enable test"},
"uc_hr_enab_adpd50_adxl100": {"commands": ["setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6", "plot rppg", "plot radpd6", "plot radxl", "loadAdpdCfg 40", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add", "quickstart adxl","reg w adxl 0x2C:0x9B"],
"help":"Starts UC HR enable test"},
"uc_hr_enab_adpd500_adxl100": {"commands": ["setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6", "plot rppg", "plot radpd6", "plot radxl", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x07D0", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add", "quickstart adxl","reg w adxl 0x2C:0x9B"],
"help":"Starts UC HR enable test"},
"uc_hr_enab_adpd100_adxl100": {"commands": ["setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6", "plot rppg", "plot radpd6", "plot radxl", "loadAdpdCfg 40", "reg w adpd4000 0x0D:0x02710", "clockCalibration", "adpdAGCControl 1:1", "sensor adpd4000 start", "sub radpd6 add", "quickstart adxl","reg w adxl 0x2C:0x9B"],
"help":"Starts UC HR enable test"},
"start_stream_mv_uc1_1": { "commands":["setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6","loadAdpdUCDcfg 1", "clockCalibration","adpdAGCControl 1:1","sensor adpd4000 start","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add"],
"help":"Starts streaming for MV UC1 - UC HR, Adpd@500Hz, Adxl@50Hz, Temperature"},
"start_stream_mv_uc2_1": { "commands":["loadAdpdUCDcfg 2","clockCalibration","lcfgEdaWrite 0:30","lcfgEdaWrite 2:1","sensor eda start","sub reda add","sensor adxl start","sub radxl add","SQISetSlot 6","sensor sqi start","sub rsqi add","setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6","adpdAGCControl 1:1","sensor adpd4000 start","sub radpd6 add","sensor temperature start","sub rtemperature add"],
"help":"Starts streaming for MV UC2 - Eda@30Hz, Adxl, UC HR, SQI, Adpd@100Hz, Temperature"},
"start_stream_mv_uc2_2": { "commands":["loadAdpdUCDcfg 2","clockCalibration","lcfgEdaWrite 0:30","lcfgEdaWrite 2:1","sensor eda start","sub reda add","sensor adxl start","sub radxl add","SQISetSlot 6","sensor sqi start","sub rsqi add","setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6","adpdAGCControl 1:1","sensor adpd4000 start","sensor temperature start"],
"help":"Starts streaming for MV UC2(modified for testing) - Eda@30Hz, Adxl, UC HR, SQI, Adpd@100Hz, Temperature"},
"start_stream_mv_uc3_1": { "commands":["lcfgEcgWrite 0:250","sensor ecg start","sub recg add","loadAdpdUCDcfg 3", "clockCalibration","reg w adpd4000 0x0D:0x2710","SQISetSlot 6","sensor sqi start","sub rsqi add","setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6","adpdAGCControl 1:1","sensor adpd4000 start","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add"],
"help":"Starts streaming for MV UC3 - Ecg@250Hz, UC HR, SQI, Adpd@100Hz, Adxl, Temperature"},
"start_stream_mv_uc4_1": { "commands":["lcfgEcgWrite 0:1000","sensor ecg start","sub recg add","loadAdpdUCDcfg 4", "clockCalibration","setPpgLcfg 40","SQISetSlot 6","sensor sqi start", "sub rsqi add","sensor ppg start","sub rppg add","sensor temperature start","sub rtemperature add"],
"help":"Starts streaming for MV UC4 - Ecg@1000Hz, SQI, ppg, Temperature"},
"start_stream_mv_uc5_1": { "commands":["loadAdpdUCDcfg 5","reg w adpd4000 0x0D:0x2710","clockCalibration","SQISetSlot 6","sensor sqi start","sub rsqi add","setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6","adpdAGCControl 0:1","sensor adpd4000 start","sub radpd6 add","sub radpd7 add","sub radpd8 add","sub radpd9 add","sensor adxl start","sub radxl add",],
"help":"Starts streaming for MV UC5 - 4 LED Slots at 100Hz, SQI, UC HR, Adxl"},
"start_stream_mv_uc6_1": { "commands":["lcfgBiaWrite 0:20","sensor bia start","sub rbia add","loadAdpdUCDcfg 6", "clockCalibration","reg w adpd4000 0x0D:0x2710","SQISetSlot 6","sensor sqi start","sub rsqi add","setPpgLcfg 40","sub rppg add", "setUCHREnab 1 6","adpdAGCControl 1:1","sensor adpd4000 start","sub radpd6 add","sensor adxl start","sub radxl add","sensor temperature start","sub rtemperature add"],
"help":"Starts streaming for MV UC6 - Bia@20Hz, UC HR, SQI, Adpd@100Hz, Adxl, Temperature"},
"start_log_mv_uc4_1": { "commands":["fs_log start","fs_sub rppg add","fs_sub recg add","fs_sub rtemperature add"],
"help":"Start MV UC4 start log cmd sequence, in b/w streaming"},
"start_nk_uc_log_dcb": { "commands":["delete_config_file","fs_format","setDateTime","LTAppTuning dcb 3","write_dcb_config adpd4000 cust4_dvt2_adpd_dcb.dcfg","write_dcb_config adxl cust4_adxl_dcb.dcfg","write_dcb_config eda cust4_eda_dcb.lcfg","quickstart nand_config_file_create_nk_uc","write_dcb_config user0_config cust4_user0_blk_dcb.lcfg"],
"help":"Start NK UC log with user0 config app DCB"},
"start_nk_uc_log_dcb_set_bat_thresh": { "commands":["delete_config_file","fs_format","setDateTime","LTAppTuning dcb 3","write_dcb_config adpd4000 cust4_dvt2_adpd_dcb.dcfg","write_dcb_config adxl cust4_adxl_dcb.dcfg","write_dcb_config eda cust4_eda_dcb.lcfg","quickstart nand_config_file_create_nk_uc_set_bat_thresh","write_dcb_config user0_config cust4_user0_blk_dcb.lcfg"],
"help":"Start NK UC log with user0 config app DCB after setting batter thresholds"},
"start_adxl_interval_logging": { "commands":["lcfgLTAppWrite 0x4 4","lcfgUser0ConfigAppWrite 0x5 0xA","lcfgUser0ConfigAppWrite 0x6 0xA","lcfgUser0ConfigAppWrite 0x7 0xA","quickstart start_log_adxl","delay 60","quickstop stop_log_adxl"],
"help":"Start adxl app interval based logging"},
"start_temp_interval_logging": { "commands":["lcfgLTAppWrite 0x4 4","lcfgUser0ConfigAppWrite 0x8 0xA","lcfgUser0ConfigAppWrite 0x9 0xA","lcfgUser0ConfigAppWrite 0xA 0xA","quickstart start_log_temperature","delay 60","quickstop stop_log_temperature"],
"help":"Start temp app interval based logging"},
"start_adpd_interval_logging": { "commands":["lcfgLTAppWrite 0x4 4","lcfgUser0ConfigAppWrite 0xB 0xA","lcfgUser0ConfigAppWrite 0xC 0xA","lcfgUser0ConfigAppWrite 0xD 0xA","quickstart start_log_adpd4000_g","delay 60","quickstop stop_log_adpd4000_g"],
"help":"Start adpd app interval based logging"},
"start_eda_interval_logging": { "commands":["lcfgLTAppWrite 0x4 4","lcfgUser0ConfigAppWrite 0xE 0x0","lcfgUser0ConfigAppWrite 0xF 0x14","lcfgUser0ConfigAppWrite 0x10 0x5","quickstart start_log_eda","delay 60","quickstop stop_log_eda"],
"help":"Start eda app interval based logging"},
"start_eda_cont_stream_in_bw_nk_uc": { "commands":["delete_config_file","fs_format","setDateTime","LTAppTuning dcb 3","write_dcb_config adpd4000 cust4_dvt2_adpd_dcb.dcfg","write_dcb_config adxl cust4_adxl_dcb.dcfg","write_dcb_config eda cust4_eda_dcb.lcfg","quickstart nand_config_file_create_nk_uc","write_dcb_config user0_config cust4_user0_blk_dcb.lcfg","bypass_user0_timings 1", "plot reda","quickstart eda"],
"help":"Start EDA continuous streams in between NK UC log with user0 config app DCB"},}
# A dictionary of useful/common command sequences to be executed for stopping applications/sensors. The 'commands' key contains a list of CLI commands to be run for the sequence.
quickstops = {
"adpd4000": { "commands":["sub radpd6 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"ecg4k": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "LDOControl 3 0"],
"help":"Stops and Unsubscribes the ADPD that is measuring ecg in slot A on DVT1/2/3 Watch"},
"ecg4k_dvt1": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "LDOControl 3 0", "delete_dcb_config adpd4000"],
"help":"Stops and Unsubscribes the ADPD that is measuring ecg in slot A on DVT1 Watch"},
"ecg4k_dvt2": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "LDOControl 3 0", "delete_dcb_config adpd4000"],
"help":"Stops and Unsubscribes the ADPD that is measuring ecg in slot A on DVT2 Watch"},
"adpd4000_g": { "commands":["sub radpd6 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_r": { "commands":["sub radpd7 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_ir": { "commands":["sub radpd8 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_b": { "commands":["sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_g_agc_off": { "commands":["sub radpd6 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_r_agc_off": { "commands":["sub radpd7 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_ir_agc_off": { "commands":["sub radpd8 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_b_agc_off": { "commands":["sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_g_r": { "commands":["sub radpd6 remove", "sub radpd7 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_g_ir": { "commands":["sub radpd6 remove", "sub radpd8 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_r_ir": { "commands":["sub radpd7 remove", "sub radpd8 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_g_b": { "commands":["sub radpd6 remove", "sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_r_b": { "commands":["sub radpd7 remove", "sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_ir_b": { "commands":["sub radpd8 remove", "sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_g_r_ir": { "commands":["sub radpd6 remove", "sub radpd7 remove", "sub radpd8 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_r_ir_b": { "commands":["sub radpd7 remove", "sub radpd8 remove", "sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_g_r_b": { "commands":["sub radpd6 remove", "sub radpd7 remove", "sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adpd4000_g_ir_b": { "commands":["sub radpd6 remove", "sub radpd8 remove", "sub radpd9 remove", "sensor adpd4000 stop"],
"help":"Stops the ADPD application and unsubscribes it."},
"adxl": {"commands":["sub radxl remove", "sensor adxl stop"],
"help":"Stop ADXL"},
"ad7156": {"commands":["sub rad7156 remove", "sensor ad7156 stop"],
"help": "Stop AD7156"},
"use_case_2": {"commands":["quickstop stop_log_eda","quickstop stop_log_adxl","quickstop stop_log_temperature","quickstop stop_log_adpd4000_g",],
"help":"Stops the use case 2."},
"mv_uc1_streaming_stop": {"commands":["sub rtemperature remove","sensor temperature stop","sub radxl remove","sensor adxl stop","sub radpd6 remove","sensor adpd4000 stop"],
"help":"Stop MV UC1 streaming "},
"temperature": { "commands":["sub rtemperature remove", "sensor temperature stop"],
"help":"Stop Temperature"},
"temperature_C_D_J_K_L": { "commands":["sub rtempr3 r", "sub rtemperature r","sub rtempr10 r","sub rtempr11 r","sub rtempr12 r","sensor temperature stop"],
"help":"Start Temperature"},
"temperature_C_D_J_K_L_uc1": { "commands":["reg adpd4000 w 0x0143:0x0000", "reg adpd4000 w 0x0163:0x0000","reg adpd4000 w 0x0183:0x0000", "reg adpd4000 w 0x0223:0x0000","reg adpd4000 w 0x0243:0x0000", "reg adpd4000 w 0x0263:0x0000","sub rtempr3 r", "sub rtemperature r","sub rtempr10 r","sub rtempr11 r","sub rtempr12 r","sensor temperature stop"],
"help":"Start Temperature"},
"stop_log_temperature_C_D_J_K_L_uc1": { "commands":["reg adpd4000 w 0x0143:0x0000", "reg adpd4000 w 0x0163:0x0000","reg adpd4000 w 0x0183:0x0000", "reg adpd4000 w 0x0223:0x0000","reg adpd4000 w 0x0243:0x0000", "reg adpd4000 w 0x0263:0x0000","fs_sub rtempr3 r", "fs_sub rtemperature r","fs_sub rtempr10 r","fs_sub rtempr11 r","fs_sub rtempr12 r","sensor temperature stop","fs_log stop"],
"help":"Stop logging Temperature"},
"temperature_C_D": { "commands":["sub rtemperature r","sub rtempr3 r","sensor temperature stop"],
"help":"Start Temperature"},
"ped": { "commands":["sensor ped stop", "sub rped remove", "sensor adxl stop"],
"help":"Stops the Pedometer application, unsubscribes it and disables the ADXL sensor."},
"sqi_green": { "commands":["sub radpd6 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor running @100Hz"},
"sqi_mm": { "commands":["sub radpd1 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor running @100Hz"},
"sqi_green_50": { "commands":["sub radpd6 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor running @50Hz"},
"sqi_green_25": { "commands":["sub radpd6 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor running @25Hz"},
"sqi_ppg": { "commands":["sub rppg remove","sensor ppg stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI & PPG application, & un-subscribes them"},
"stop_log_sqi_green": { "commands":["fs_sub radpd6 remove", "fs_sub rsqi remove", "sensor adpd4000 stop", "sensor sqi stop","fs_log stop"],
"help":"log the SQI data with Green LED on slot F of ADPD4000 at 100Hz"},
"sqi_agc_off_green": { "commands":["sub radpd6 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor."},
"sqi_red": { "commands":["sub radpd7 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor."},
"stop_log_sqi_red": { "commands":["fs_sub radpd7 remove", "fs_sub rsqi remove", "sensor adpd4000 stop", "sensor sqi stop","fs_log stop"],
"help":"Stops the logging of SQI data with Red LED on slot G of ADPD4000 at 100Hz"},
"sqi_agc_off_red": { "commands":["sub radpd7 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor."},
"sqi_ir": { "commands":["sub radpd8 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor."},
"stop_log_sqi_ir": { "commands":["fs_sub radpd8 remove", "fs_sub rsqi remove", "sensor adpd4000 stop", "sensor sqi stop","fs_log stop"],
"help":"log the SQI data with IR LED on slot H of ADPD4000 at 100Hz"},
"sqi_agc_off_ir": { "commands":["sub radpd8 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor."},
"sqi_blue": { "commands":["sub radpd9 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor."},
"stop_log_sqi_blue": { "commands":["fs_sub radpd9 remove", "fs_sub rsqi remove", "sensor adpd4000 stop", "sensor sqi stop","fs_log stop"],
"help":"log the SQI data with Blue LED on slot I of ADPD4000 at 100Hz"},
"sqi_agc_off_blue": { "commands":["sub radpd9 remove","sensor adpd4000 stop","sub rsqi remove","sensor sqi stop"],
"help":"Stops the SQI application, un-subscribes it and disables the ADPD sensor."},
"stop_log_adxl": {"commands":["fs_sub radxl remove", "sensor adxl stop","fs_log stop"],
"help":"Stops logging the ADXL"},
"stop_log_adp": {"commands": ["fs_sub radp remove", "fs_log stop"],
"help": "Stops logging the Battery info."},
"ppg": { "commands":["sub rppg remove", "sensor ppg stop"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_dynamic_agc": { "commands":["sub rstatic_agc remove","sub rdynamic_agc remove", "sub rppg remove", "sensor ppg stop"],
"help":"Stops the PPG library with Unsubscribes it."},
"hrv": { "commands":["sub rhrv remove","sub rstatic_agc remove", "sub rdynamic_agc remove", "sub rppg remove", "sensor ppg stop"],
"help":"Stops the PPG+HRV stream"},
"periodic_ppg": { "commands":["sub rppg remove", "sensor ppg stop"],
"help":"Stops the PPG library with Unsubscribes it."},
"stop_log_adpd4000_g": { "commands":["sensor adpd4000 stop","fs_sub radpd6 remove","fs_log stop"],
"help":"Stops logging the ADPD_g data"},
"stop_log_adpd4000_r": { "commands":["sensor adpd4000 stop","fs_sub radpd7 remove","fs_log stop"],
"help":"Stops logging the ADPD_r data "},
"stop_log_adpd4000_ir": { "commands":["sensor adpd4000 stop","fs_sub radpd8 remove","fs_log stop"],
"help":"Stops logging the ADPD_ir data"},
"stop_log_adpd4000_b": { "commands":["sensor adpd4000 stop","fs_sub radpd9 remove","fs_log stop"],
"help":"Stops logging the ADPD_b data"},
"stop_log_ppg": { "commands":["sensor ppg stop","fs_sub rppg remove","fs_log stop"],
"help":"Stops logging the PPG data"},
"stop_log_ppg_dynamic_agc": { "commands":["sensor ppg stop","fs_sub rstatic_agc remove", "fs_sub rdynamic_agc remove", "fs_sub rppg remove", "fs_log stop"],
"help":"Stops logging the PPG data"},
"stop_log_hrv": { "commands":["sensor ppg stop","fs_sub rstatic_agc remove", "fs_sub rdynamic_agc remove", "fs_sub rhrv remove", "fs_sub rppg remove","fs_log stop"],
"help":"Stops logging the PPG+HRV data"},
"stop_log_temperature": { "commands":["sensor temperature stop","fs_sub rtemperature remove","fs_log stop"],
"help":"Stop Temperature"},
"stop_log_ecg": { "commands":["sensor ecg stop","fs_sub recg remove","fs_log stop"],
"help":"Stop ecg"},
"stop_log_ecg_1500": { "commands":["sensor ecg stop","fs_sub recg remove","fs_log stop"],
"help":"Stop ecg"},
"stop_log_ecg_1600": { "commands":["sensor ecg stop","fs_sub recg remove","fs_log stop"],
"help":"Stop ecg"},
"stop_log_ecg_2000": { "commands":["sensor ecg stop","fs_sub recg remove","fs_log stop"],
"help":"Stop ecg"},
"ecg": {"commands": ["sub recg remove", "sensor ecg stop"],
"help": "Stop ECG"},
"ecg_dcb": {"commands": ["sub recg remove", "sensor ecg stop"],
"help": "Stop ECG"},
"eda": {"commands":["sub reda remove", "sensor eda stop"],
"help":"Stops the EDA application and unsubscribes it."},
"eda_dcb": {"commands":["sub reda remove", "sensor eda stop"],
"help":"Stops the EDA application and unsubscribes it."},
"stop_log_eda": {"commands":["sensor eda stop","fs_sub reda remove","fs_log stop"],
"help":"Start eda"},
"stop_log_bia": {"commands":["sensor bia stop","fs_sub rbia remove","fs_log stop"],
"help":"Stop BIA logging"},
"stop_log_bcm": {"commands":["lcfgBiaWrite 5:0","sensor bia stop","fs_sub rbia remove","fs_log stop"],
"help":"Stops BIA and BCM logging"},
"stop_log_ped":{"commands":["sensor ped stop", "sensor adxl stop","fs_sub rped remove","fs_log stop"],
"help":"Stops the Pedometer application, unsubscribes it and disables the ADXL sensor."},
"stop_log_adpd4000_r_adxl": {"commands":["fs_sub radpd7 remove","fs_sub radxl remove","fs_log stop","sensor adpd4000 stop","sensor adxl stop"],
"help":"Stops the ADPD4000_r, ADXL logging"},
###Testing ECG4K in UC3 in place of ECG from AD5940###
"uc3_ecg4k_dvt2": { "commands":["sub rtemperature remove", "sub radxl remove", "sub radpd6 remove", "sub radpd1 remove", "sub rsqi remove", "sub rppg remove", "sub rdynamic_agc remove", "sub rstatic_agc remove", "sensor temperature stop", "sensor adxl stop", "sensor adpd4000 stop", "sensor sqi stop", "controlECGElectrodeSwitch 4k_sw 0", "LDOControl 3 0", "delete_dcb_config adpd4000"],
"help":"Stops streaming for UC3 - ECG4K, SQI, Adpd, Adxl, Temperature"},
"ecg4k_eda_dvt2": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "delete_dcb_config adpd4000", "quickstop eda"],
"help":"Running ECG from ADPD4K + EDA"},
#####################################################
#"stop_log_mv_uc1": { "commands":["sensor temperature stop","sensor adxl stop","sensor adpd4000 stop","fs_sub radpd6 remove","fs_sub radxl remove","fs_sub rtemperature remove","fs_log stop"],
"stop_log_mv_uc1": { "commands":["sensor temperature stop","sensor adxl stop","sensor adpd4000 stop", "setUCHREnab 0 6","fs_sub rstatic_agc remove", "fs_sub rdynamic_agc remove", "fs_sub rppg remove", "fs_sub radpd6 remove","fs_sub radxl remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Stops logging for MV UC1 - Adpd, Adxl, HR, Temperature"},
"stop_log_mv_uc1_without_hr": { "commands":["sensor temperature stop","sensor adxl stop","sensor adpd4000 stop","fs_sub rstatic_agc remove","fs_sub radpd6 remove","fs_sub radxl remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Stops logging for MV UC1 - Adpd, Adxl,Temperature"},
"stop_log_mv_uc2": { "commands":["sensor temperature stop","sensor adpd4000 stop","sensor sqi stop","sensor adxl stop","sensor eda stop","setUCHREnab 0 6","fs_sub rstatic_agc remove", "fs_sub rdynamic_agc remove", "fs_sub rppg remove","fs_sub radpd6 remove","fs_sub rsqi remove","fs_sub radxl remove","fs_sub reda remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Stops logging for MV UC2 - Eda, Adxl, SQI, Adpd, HR, Temperature"},
"stop_log_mv_uc3": { "commands":["sensor temperature stop","sensor adxl stop","sensor adpd4000 stop","sensor sqi stop","sensor ecg stop","setUCHREnab 0 6","fs_sub rstatic_agc remove", "fs_sub rdynamic_agc remove", "fs_sub rppg remove","fs_sub radpd6 remove","fs_sub rsqi remove","fs_sub radxl remove","fs_sub recg remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Stops logging for MV UC3 - Ecg, SQI, Adpd, HR, Adxl, Temperature"},
"stop_log_mv_uc4": { "commands":["sensor temperature stop","sensor ppg stop","sensor sqi stop","sensor ecg stop","fs_sub rppg remove","fs_sub rsqi remove","fs_sub rstatic_agc remove", "fs_sub rdynamic_agc remove", "fs_sub recg remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Stops logging for MV UC4 - Ecg, ppg, SQI,Temperature"},
"stop_log_mv_uc5": { "commands":["sensor adxl stop","sensor adpd4000 stop","sensor sqi stop","setUCHREnab 0 6","fs_sub rppg remove","fs_sub radpd6 remove","fs_sub rstatic_agc remove", "fs_sub rdynamic_agc remove", "fs_sub rsqi remove","fs_sub radpd7 remove","fs_sub radpd8 remove","fs_sub radpd9 remove","fs_sub radxl remove","fs_log stop"],
"help":"Stops logging for MV UC5- 4 LED Slots at 100Hz, HR, SQI, ADXL"},
"stop_log_mv_uc5_without_hr": { "commands":["sensor adxl stop","sensor adpd4000 stop","sensor sqi stop","fs_sub radpd6 remove", "fs_sub rstatic_agc remove", "fs_sub rsqi remove","fs_sub radpd7 remove","fs_sub radpd8 remove","fs_sub radpd9 remove","fs_sub radxl remove","fs_log stop"],
"help":"Stops logging for MV UC5- 4 LED Slots at 100Hz, HR, SQI, ADXL"},
"stop_log_mv_uc6": { "commands":["sensor temperature stop","sensor adxl stop","sensor adpd4000 stop","sensor sqi stop","sensor bia stop","setUCHREnab 0 6", "fs_sub rstatic_agc remove","fs_sub rdynamic_agc remove", "fs_sub rppg remove","fs_sub radpd6 remove","fs_sub rsqi remove","fs_sub radxl remove","fs_sub rbia remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Stops logging for MV UC6 - Bia, SQI, Adpd, HR, Adxl, Temperature"},
"stop_log_nk_uc": { "commands":["sensor temperature stop","sensor adpd4000 stop","sensor adxl stop","sensor eda stop","fs_sub radpd6 remove","fs_sub radxl remove","fs_sub reda remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Stops logging for NK UC - Eda, Adxl, Adpd, Temperature"},
"bia": {"commands": ["sub rbia remove", "sensor bia stop"],
"help": "Stop BIA"},
"bcm": {"commands": ["lcfgBiaWrite 5:0","sub rbia remove", "sensor bia stop"],
"help": "Stop BIA and BCM"},
"mwl_view": {"commands": ["sub radpd6 remove","sub radpd7 remove","sub radpd8 remove","sub radpd9 remove","sensor adpd4000 stop"],
"help":"Opens MWL view with Green, Red IR, Blue LED from Slot F, G, H, I of ADPD4000"},
"mwl_view_agc_off": {"commands": ["sub radpd6 remove","sub radpd7 remove","sub radpd8 remove","sub radpd9 remove","sensor adpd4000 stop"],
"help":"Opens MWL view with Green, Red IR, Blue LED from Slot F, G, H, I of ADPD4000"},
"ppg_static_agc_on": { "commands":["sub rppg remove", "sensor ppg stop"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_static_agc_off": { "commands":["sub rppg remove", "sensor ppg stop"],
"help":"Stops the PPG library with Unsubscribes it."},
###################################################################################################################
#### Commands for Slot Switching, to be used only when Watch is loaded with FW built with "SLOT_SELECT" macro ####
#################################################################################################################
"adpd4000_g_A": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_g_B": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_r_A": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_r_B": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_ir_A": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_ir_B": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_b_A": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_b_B": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_g_A_agc_off": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_g_B_agc_off": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_r_A_agc_off": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_r_B_agc_off": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_ir_A_agc_off": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_ir_B_agc_off": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_b_A_agc_off": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"adpd4000_b_B_agc_off": { "commands":["sub radpd2 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Stops the ADPD application, unsubscribes it and disables the slot"},
"temp_AB": { "commands":["sub rtemperature remove", "sensor temperature stop","disable_adpd4k_slots"],
"help":"Stops Temperature app and disables the slot"},
"temp_BC": { "commands":["sub rtemperature remove", "sensor temperature stop","disable_adpd4k_slots"],
"help":"Stops Temperature app and disables the slot"},
"temp_DE": { "commands":["sub rtemperature remove", "sensor temperature stop","disable_adpd4k_slots"],
"help":"Stops Temperature app and disables the slot"},
"ppg_A": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_B": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_C": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_F": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_A_agc_off": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_B_agc_off": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_C_agc_off": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ppg_F_agc_off": { "commands":["sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops the PPG library with Unsubscribes it."},
"ecg4k_A": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "disable_adpd4k_slots"],
"help":"Stops and Unsubscribes the ADPD that is measuring ecg in slot A."},
"ecg4k_ppg_temp": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "sub rppg remove", "sensor ppg stop", "sub rtemperature remove", "sensor temperature stop", "disable_adpd4k_slots"],
"help":"Stops ecg4k, ppg and temperature app and disables the slot"},
"ecg4k_temp_ppg": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "sub rtemperature remove", "sensor temperature stop", "sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops ecg4k, ppg and temperature app and disables the slot"},
"ecg4k_ppg": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops ecg4k, ppg and temperature app and disables the slot"},
"ecg4k_temp": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "sub rtemperature remove", "sensor temperature stop", "disable_adpd4k_slots"],
"help":"Stops ecg4k and temperature app and disables the slot"},
"ppg_temp_ABC": { "commands":["sub rppg remove", "sensor ppg stop", "sub rtemperature remove", "sensor temperature stop", "disable_adpd4k_slots"],
"help":"Stops ppg and temperature app and disables the slot"},
"temp_ppg_ABC": { "commands":["sub rtemperature remove", "sensor temperature stop", "sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops ppg and temperature app and disables the slot"},
"ecg4k_ppg_temp_agc_off": { "commands":[ "sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "sub rppg remove", "sensor ppg stop", "sub rtemperature remove", "sensor temperature stop", "disable_adpd4k_slots"],
"help":"Stops ecg4k, ppg and temperature app and disables the slot"},
"ecg4k_temp_ppg_agc_off": { "commands":["sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "sub rtemperature remove", "sensor temperature stop", "sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops ecg4k, ppg and temperature app and disables the slot"},
"ecg4k_ppg_agc_off": { "commands":[ "sub radpd1 remove", "sensor adpd4000 stop", "controlECGElectrodeSwitch 4k_sw 0", "sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops ecg4k, ppg and temperature app and disables the slot"},
"ppg_temp_ABC_agc_off": { "commands":["sub rppg remove", "sensor ppg stop", "sub rtemperature remove", "sensor temperature stop", "disable_adpd4k_slots"],
"help":"Stops ppg and temperature app and disables the slot"},
"temp_ppg_ABC_agc_off": { "commands":["sub rtemperature remove", "sensor temperature stop", "sub rppg remove", "sensor ppg stop", "disable_adpd4k_slots"],
"help":"Stops ppg and temperature app and disables the slot"},
"mwl_view_ABCD": {"commands": [ "sub radpd1 remove","sub radpd2 remove","sub radpd3 remove","sub radpd4 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Opens MWL view with Green, Red IR, Blue LED from Slot A, B, C, D of ADPD4000"},
"mwl_view_ABCD_agc_off": {"commands": [ "sub radpd1 remove","sub radpd2 remove","sub radpd3 remove","sub radpd4 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Opens MWL view with Green, Red IR, Blue LED from Slot A, B, C, D of ADPD4000"},
"mwl_view_FGHI": {"commands": [ "sub radpd6 remove","sub radpd7 remove","sub radpd8 remove","sub radpd9 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Opens MWL view with Green, Red IR, Blue LED from Slot F, G, H, I of ADPD4000"},
"mwl_view_FGHI_agc_off": {"commands": ["sub radpd6 remove","sub radpd7 remove","sub radpd8 remove","sub radpd9 remove", "sensor adpd4000 stop", "disable_adpd4k_slots"],
"help":"Opens MWL view with Green, Red IR, Blue LED from Slot F, G, H, I of ADPD4000"},
"uc_hr_enab": {"commands": ["sub rppg remove","quickstop adpd4000", "quickstop adxl", "setUCHREnab 0 6"],
"help":"Stops UC HR enable test"},
"uc_hr_disable_adpd": {"commands": ["sub radpd6 remove","sub rppg remove","quickstop adpd4000", "setUCHREnab 0 6"],
"help":"Stops UC HR enable test only with ADPD"},
"stop_log_uc_hr_disable_adpd": {"commands": ["fs_sub radpd6 remove","fs_sub rppg remove","quickstop adpd4000", "setUCHREnab 0 6","fs_log stop"],
"help":"Stops UC HR enable test only with ADPD"},
"stop_stream_mv_uc1_1": { "commands":["sub rppg remove","sensor temperature stop","sensor adxl stop","sensor adpd4000 stop","sub radpd6 remove","sub radxl remove","sub rtemperature remove", "setUCHREnab 0 6"],
"help":"Stops streaming for MV UC1 - UC HR, Adpd@500Hz, Adxl@50Hz, Temperature"},
"stop_stream_mv_uc2_1": { "commands":["sub rppg remove","sensor temperature stop","sensor adpd4000 stop","sensor adxl stop","sensor eda stop","sub radpd6 remove","sub radxl remove","sub reda remove","sub rtemperature remove", "setUCHREnab 0 6","sub rsqi remove","sensor sqi stop"],
"help":"Stops streaming for MV UC2 - Eda@30Hz, Adxl, UC HR, SQI, Adpd@100Hz, Temperature"},
"stop_stream_mv_uc2_2": { "commands":["sub rppg remove","sensor temperature stop","sensor adpd4000 stop","sensor adxl stop","sensor eda stop","sub radxl remove","sub reda remove", "setUCHREnab 0 6","sub rsqi remove","sensor sqi stop"],
"help":"Stops streaming for MV UC2 - Eda@30Hz, Adxl, UC HR, SQI, Adpd@100Hz, Temperature"},
"stop_stream_mv_uc3_1": { "commands":["sub rppg remove","sensor temperature stop","sensor adxl stop","sensor adpd4000 stop","sensor ecg stop","sub radpd6 remove","sub radxl remove","sub recg remove","sub rtemperature remove", "setUCHREnab 0 6","sub rsqi remove","sensor sqi stop"],
"help":"Stops streaming for MV UC3 - Ecg@250Hz, UC HR, SQI, Adpd@100Hz, Adxl, Temperature"},
"stop_stream_mv_uc4_1": { "commands":["sensor temperature stop","sensor ppg stop","sensor ecg stop","sub rppg remove","sub recg remove","sub rtemperature remove","sub rsqi remove","sensor sqi stop"],
"help":"Stops streaming for MV UC4 - Ecg@1000Hz, SQI, ppg, Temperature"},
"stop_stream_mv_uc5_1": { "commands":["sub rppg remove","sensor adxl stop","sensor adpd4000 stop","sub radpd6 remove","sub radpd7 remove","sub radpd8 remove","sub radpd9 remove","sub radxl remove", "setUCHREnab 0 6","sub rsqi remove","sensor sqi stop"],
"help":"Stops streaming for MV UC5- 4 LED Slots at 100Hz, SQI, UC HR, Adxl"},
"stop_stream_mv_uc6_1": { "commands":["sub rppg remove","sensor temperature stop","sensor adxl stop","sensor adpd4000 stop","sensor bia stop","sub radpd6 remove","sub radxl remove","sub rbia remove","sub rtemperature remove", "setUCHREnab 0 6","sub rsqi remove","sensor sqi stop"],
"help":"Stops streaming for MV UC6 - Bia@20Hz, UC HR, SQI, Adpd@100Hz, Adxl, Temperature"},
"stop_log_mv_uc4_1": { "commands":["fs_sub rppg remove","fs_sub recg remove","fs_sub rtemperature remove","fs_log stop"],
"help":"Give the MV UC4 stop stream cmd sequence"},
"stop_nk_uc_log_fw": { "commands":["delete_config_file"],
"help":"Stop NK UC log"},
"stop_nk_uc_log_dcb": { "commands":["delete_config_file", "delete_dcb_config lt_app_lcfg", "delete_dcb_config user0_config"],
"help":"Stop NK UC log"},
"stop_eda_cont_stream_in_bw_nk_uc": { "commands":["delete_config_file", "delete_dcb_config lt_app_lcfg", "delete_dcb_config user0_config","bypass_user0_timings 0","quickstop eda"],
"help":"Stop EDA continuous streams in between NK UC log with user0 config app DCB"},}
def precmd(self, line):
"""
This function overrides the cmd.Cmd base class method. It gets called
after every command that the user gives.
"""
if (not "connect" in line) and (self.m2m2_server == None):
self.vrb.write("NOTE: Not connected to a serial device!")
self.vrb.console_write(self.prompt + cr.Style.RESET_ALL + line)
return line
def postcmd(self, stop, line):
"""
This function overrides the cmd.Cmd base class method. It gets called
after every command that the user gives.
:param stop:
:param line:
:return:
"""
return None
'''
if type(stop) == tuple:
if len(stop) > 0:
return stop[0]
else:
return None
else:
return stop
'''
def do_flush(self, arg):
"""
Flush all of the CLI's message queues. This is useful when you receive messages
that aren't handled by a command. For example: if a command times out but a
response is eventually received, then the next time that command is run, the
previous response will be in the queue and will be returned instead of the newer
response.
"""
for addr in self.dispatcher_map:
q = self.dispatcher_map[addr].queue
name = self._get_enum_name(M2M2_ADDR_ENUM_t, addr)
self.vrb.write("Flushing Queue with {} items: {}({})".format(len(q), name, addr), 2)
q.clear()
@cli_logger
def do_connect_usb(self, arg):
"""
Connect to serial device over USB CDC.
Provide a serial device identifier appropriate for your platform (COMX for Windows, /dev/ttyX for Linux and OSX).
#>connect_usb COM7
"""
args = self._parse_args(arg, 1)
if args == None:
return
try:
self.vrb.write("Starting serial interface threads...", 4)
self.m2m2_server = m2m2_server.m2m2_uart_server(self.rx_q, self.tx_q, self.vrb)
#if not self.m2m2_server.connect(args[0], int(args[1])):
if not self.m2m2_server.connect(args[0]):
self.vrb.write("Failed to connect to the serial port!")
return
self.vrb.write("Starting dispatcher thread...", 4)
dispatcher_thread = threading.Thread(target=self._dispatcher, args=[self.dispatcher_map, self.sock_map])
dispatcher_thread.setDaemon(True)
dispatcher_thread.start()
except serial.serialutil.SerialException as e:
self.vrb.err("Error opening the serial device!")
self.vrb.err("You might be connected already, or have given an incorrect serial device identifier.")
self.vrb.err("Error was:\n\t{}".format(e))
return
set_cli_addr(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI)
self.onecmd("getVersion")
self._check_dvt_version()
def do_connect_dongle(self, arg):
"""
Connect to remote device via BLE through BLE Dongle COM Port.
Provide a serial device identifier appropriate for your platform (COMX for Windows, /dev/ttyX for Linux and OSX).
#>connect_dongle COM8
"""
args = self._parse_args(arg, 1)
if args == None:
return
try:
self.vrb.write("Starting serial interface threads...", 4)
self.m2m2_server = m2m2_server.m2m2_uart_server(self.rx_q, self.tx_q, self.vrb)
#if not self.m2m2_server.connect(args[0], int(args[1])):
if not self.m2m2_server.connect(args[0]):
self.vrb.write("Failed to connect to the serial port!")
return
self.vrb.write("Starting dispatcher thread...", 4)
dispatcher_thread = threading.Thread(target=self._dispatcher, args=[self.dispatcher_map, self.sock_map])
dispatcher_thread.setDaemon(True)
dispatcher_thread.start()
except serial.serialutil.SerialException as e:
self.vrb.err("Error opening the serial device!")
self.vrb.err("You might be connected already, or have given an incorrect serial device identifier.")
self.vrb.err("Error was:\n\t{}".format(e))
return
set_cli_addr(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI_BLE)
self.onecmd("getVersion")
self._check_dvt_version()
def _check_dvt_version(self):
global clk_calib_val
err_stat, chip_id = self.do_getChipID('2')
if chip_id == 0xc0:
print("DVT1 Watch Connected")
self.dvt_ver = "dvt1"
self.clk_calib_val = 6
else:
print("DVT2 Watch Connected")
self.dvt_ver = "dvt2"
self.clk_calib_val = 2
def help_connect(self):
print "Connect to a serial device."
print "Provide a serial device identifier appropriate for your platform (COMX for Windows, /dev/ttyX for Linux and OSX)."
print "Example usage for usb connection with Watch: \n\t#>connect_usb COM7\n"
print "Example usage for ble connection with Watch: \n\t#>connect_dongle COM7\n"
print "Wait a moment, searching for available serial ports..."
# Find a list of available serial ports
result = []
if sys.platform.startswith('win'):
ports = ['COM%s' % (i + 1) for i in range(256)]
elif sys.platform.startswith('linux') or sys.platform.startswith('cygwin'):
# this excludes your current terminal "/dev/tty"
ports = glob.glob('/dev/tty[A-Za-z]*')
elif sys.platform.startswith('darwin'):
ports = glob.glob('/dev/tty.*')
else:
raise EnvironmentError('Unsupported platform')
for port in ports:
try:
s = serial.Serial(port)
s.close()
result.append(port)
except (OSError, serial.SerialException):
pass
print "Available serial ports are:"
for p in result:
print "==> {}".format(p)
def do_msg_verbose(self, arg):
args = self._parse_args(arg, 1)
if args == None:
return
try:
lvl = int(args[0])
self.vrb.set_level(lvl)
except:
self.vrb.err("Invalid argument!", 1)
def help_msg_verbose(self):
print "Sets the verbosity level of the CLI. Valid levels are from 0-4."
print "Verbosity levels are cumulative, meaning that a level of 3 will"
print "also print messages from levels 1 and 2."
print "Setting a verbosity level >= {} will open a separate window that".format(self.vrb.console_level)
print "will display the prints."
print "In general, the different levels are used for:"
print "The different levels are printed with different formatting:"
for i in range(1, 5):
print " " + self.vrb.msg_formatters[i]["fmt"].format("Level {}: {}".format(i, self.vrb.msg_formatters[i]["help"]))
print "Note that error messages and help text are not affected by this setting."
def do_raw_msg(self, arg):
"""
Send a raw packet. Bytes are specified in hex, with a colon separating each byte.
Note that there is no receive method associated with this command. If verbosity is
disabled, or there is no other handler, then there will be no handling of a received
response.
#>raw_msg AB:CD:EF:AB
"""
args = self._parse_args(arg, 1)
if args == None:
return
data = binascii.unhexlify(args[0].replace(":", ""))
self._send_packet(data)
def do_exit(self, arg):
"""Exit the shell."""
try:
self.m2m2_server.quit()
except:
pass
quit()
def do_plot(self, arg):
global enable_csv_logs
args = self._parse_args(arg, 1)
if args == None:
return
for a in args:
if a in stream_name_map:
app_name = a
address = stream_name_map[a]["application"]
stream = stream_name_map[a]["stream"]
else:
address = None
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid stream.")
return
s = socket.socket()
if "nt" in os.name:
# If this is on windows, run the plotter automatically.
Portnumber = self._get_free_port()
if(Portnumber!= None):
plotter_path = os.path.join(os.path.abspath(__file__), '../plotter.py')
os.system("start cmd /k python {} {} {} {}".format(plotter_path, app_name,Portnumber,enable_csv_logs))
time.sleep(0)
else:
self.vrb.err("Could not find a free socket for plotting")
return
else:
self.vrb.write("Automatic plot starting is not yet implemented on non-Windows platforms! Feel free to do it yourself ;)")
for i in range(5):
try:
self.vrb.write("Connecting to the plotter...", 4)
s.connect(('localhost',Portnumber))
self.sock_map[stream] = s
self.vrb.write("Successfully connected to the plotter!", 4)
return
except socket.error:
self.vrb.err("Count not connect to the plotter! Retrying {}...".format(5-i))
time.sleep(2)
self.vrb.err("Failed to connect to the plotter!")
def help_plot(self):
device_str_list = ""
for device in stream_name_map:
application_name = self._get_enum_name(M2M2_ADDR_ENUM_t, int(stream_name_map[device]["application"]))
if application_name == None:
application_name = stream_name_map[device]["application"]
stream_name = self._get_enum_name(M2M2_ADDR_ENUM_t, int(stream_name_map[device]["stream"]))
if stream_name == None:
stream_name = stream_name_map[device]["stream"]
device_str_list += "\n'{}':{}:{}\n\t{}\n".format(device, application_name, stream_name, stream_name_map[device]["help"])
print "Plot a data stream."
print "Note that you must start the stream separately."
print
print "Available streams: ('name':application:stream){}".format(device_str_list)
print "-----------------------------------------------"
print "Usage:"
print " #>plot [stream]"
print
print " #>plot radpd1"
print " #>plot radxl"
print " #>plot rppg"
print " #>plot reda"
print " #>plot recg"
print
def do_getVersion(self, arg):
"""
Get the system application version information. Gets both the PS and PM versions.
#>getVersion
"""
args = self._parse_args(arg, 0)
if args == None:
return
version = None
version = self._get_version(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM)
if version != None:
self._print_version_pkt(version)
try:
fw_ver_dict = {'major': int(version.payload.major), 'minor': int(version.payload.minor),
'patch': int(version.payload.patch),
'info': cast(version.payload.verstr, c_char_p).value,
'date': cast(version.payload.str, c_char_p).value.split('|')[-1]}
err_stat = 0
except:
fw_ver_dict = {}
err_stat = 1
else:
self.vrb.err("Timed out waiting for the PM version response.")
fw_ver_dict = {}
err_stat = 1
return err_stat, fw_ver_dict
def do_getMcuVersion(self, arg):
"""
Get the MCU type information (M3/M4).
#>getMcuVersion
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_mcu_version_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_GET_MCU_VERSION_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_mcu_version_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_PM_SYS_MCU_TYPE_ENUM_t, reply_msg.payload.mcu)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Get MCU version failed!")
def do_ping(self, arg):
"""
Ping a system, to start getting a particular pkt_size every 20 ms. The approximate round-trip response time is recorded
to calculate the throughput of BLE/USB.
#>ping [system] [number of pings] [pkt size]
#>ping PM 10 70
Pkt size Min Value: should be greater than or equal to 15
Pkt size Max Value: should be less than or equal to 244
"""
if len(arg.split()) == 4:
arg_len = 4
else:
arg_len = 3
args = self._parse_args(arg, arg_len)
enable_pong_print = True
if args == None:
self.vrb.write("Incorrect usage! Please check help.")
return
for a in args:
if "pm" in a.lower():
addr = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
try:
num_pings = int(args[1])
pkt_sz = int(args[2])
if len(args) >= 4:
enable_pong_print = eval(args[3])
else:
enable_pong_print = True
if (pkt_sz < 15) | (pkt_sz >= 245):
self.vrb.write("Incorrect pkt size, Min Value: should be greater than or equal to 15; Max value: must be less than or equal to 244")
return
except:
return
self.vrb.write("Starting ping for count:{} pkt sz:{}".format(num_pings, pkt_sz))
missed_seq_no_list = []
total_time = 0
total_bytes = 0
src_addr = get_cli_addr()
retry_cnt = 0
tx_pkt = m2m2_packet(addr, m2m2_app_common_ping_t())
tx_pkt.header.src = src_addr
tx_pkt.header.dest = addr
tx_pkt.header.length = pkt_sz
tx_pkt.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_PING_REQ
tx_pkt.payload.sequence_num = num_pings
self._send_packet(tx_pkt)
total_time = time.time()
for i in range(num_pings):
start_time = time.clock()
rx_pkt = self._get_packet(addr, m2m2_app_common_ping_t(), 2)
if rx_pkt == None :
missed_seq_no_list.append(i+1)
self.vrb.err("Request timed out for rx pkt {}!".format(i+1))
self.vrb.write("Request timed out for rx pkt {}!".format(i+1))
self.vrb.write("Missed packet sequence numbers: {}!".format(missed_seq_no_list))
retry_cnt += 1
if retry_cnt == 3:
return
elif rx_pkt.payload.sequence_num != i + 1:
missed_seq_no_list.append(i+1)
retry_cnt += 1
self.vrb.write("Incorrect ping response received! Expected: {} Got: {}".format(i + 1, rx_pkt.payload.sequence_num))
self.vrb.write("Missed packet sequence numbers: {}!".format(missed_seq_no_list))
if retry_cnt == 3:
return
else:
elapsed_time = time.clock() - start_time
if enable_pong_print:
self.vrb.write("\tpong# {}: took {}s".format(i, elapsed_time), 1)
total_bytes+=(pkt_sz)
i += 1
total_time = time.time() - total_time
self.vrb.write("Missed packet sequence numbers: {}!".format(missed_seq_no_list))
self.vrb.write("Total Bytes: {} byte Total time: {}sec!".format(total_bytes,total_time))
throughput = float(total_bytes)/total_time
self.vrb.write("Throughput from CLI: {}byte/sec!".format(throughput))
self.vrb.write("Throughput theoretical: {}byte/sec!".format(pkt_sz*1000/20))
ping_results_dict = {'missed_pkt_seq_num': missed_seq_no_list, 'total_bytes': total_bytes,
'total_time': total_time, 'throughput_cli': throughput,
'throughput_theoretical': pkt_sz * 1000 / 20}
return 0, ping_results_dict
def do_getAdpdVersion(self, arg):
"""
Get the ADPD application version information.
#>getAdpdVersion
"""
version = self._get_version(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000)
if version != None:
self._print_version_pkt(version)
else:
self.vrb.err("Timed out waiting for the ADPD version response.")
def help_loadAdpdCfg(self):
enum_dict = self.get_enum_fields_vals(M2M2_SENSOR_ADPD_DEVICE_ID_ENUM_t)
for key in enum_dict:
print("{}::{}".format(key, enum_dict[key]))
def get_enum_fields_vals(self,enum):
# Save a copy of the dictionary so that we can remove items from it (can't remove items from a dictionary while iterating over that dictionary)
d = dict(vars(enum))
for item in vars(enum):
# Remove the internal variables that are used by the language (i.e. the __name__ field), which by convention start and end with double underscores
if item.startswith("__") and item.endswith("__"):
del(d[item])
return d
def do_testCmd(self, arg):
"""
Issue a test command.
#>testCmd [1] [2] [3]
#>testCmd 1 0
"""
args = self._parse_args(arg, 1)
version = None
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd_testcommand_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_DO_TEST1_REQ
msg.payload.retdata[0] = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd_testcommand_resp_t(), 20)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Data1 '{}'".format(hex(reply_msg.payload.retdata[0])), 2)
self.vrb.write(" Data2 '{}'".format(reply_msg.payload.retdata[1]), 2)
self.vrb.write(" Data3 '{}'".format(reply_msg.payload.retdata[2]), 2)
else:
self.vrb.err("Test command failed!")
def do_loadAdpdCfg(self, arg):
args = self._parse_args(arg,1)
if args == None:
self.vrb.err("No configuration specified, loading the default ADPD4000 config", 2)
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_LOAD_CFG_REQ
if args == None:
msg.payload.deviceid = M2M2_SENSOR_ADPD_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADPD4000_DEVICE_4000_G
else:
try:
msg.payload.deviceid = int(args[0])
except ValueError:
self._LoadCfg(".\\cfgs\\"+args[0])
return
if (msg.payload.deviceid != M2M2_SENSOR_ADPD_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADPD4000_DEVICE_4000_B) and (msg.payload.deviceid != M2M2_SENSOR_ADPD_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADPD4000_DEVICE_4000_R) \
and (msg.payload.deviceid != M2M2_SENSOR_ADPD_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADPD4000_DEVICE_4000_IR) and (msg.payload.deviceid != M2M2_SENSOR_ADPD_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADPD4000_DEVICE_4000_G) \
and (msg.payload.deviceid != M2M2_SENSOR_ADPD_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADPD4000_DEVICE_4000_G_R_IR_B):
self.vrb.write("Invalid device type")
return
self._send_packet(msg)
time.sleep(3)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write("Loaded adpd device configuration:", 2)
self.vrb.write(" Device: '{}'".format(int(reply_msg.payload.deviceid)), 2)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Loading Adpd device configuration failed!")
def do_getCtrValue(self, arg):
"""
Get ctr value of a reflective object
#>getCtrValue
"""
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000
stream = M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD_STREAM1
msg = m2m2_packet(address, m2m2_sensor_adpd_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_GET_CTR_REQ
msg.payload.stream = stream
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd_resp_t(), 20)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Get CTR Value:", 2)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" CTR =: '{}'".format(int(reply_msg.payload.retdata[0])), 2)
else:
self.vrb.err("Get CTR Value failed!")
def do_getSlot(self, arg):
"""
Get the Adpd device slots. Return slot num, its data format.
#>getSlot : show all the slots
#>getSlot slot_num : show only this slot
"""
args = self._parse_args(arg, 1)
if args == None:
i_start = 1
i_stop = 13
else:
i_start = int(args[0])
i_stop = int(args[0]) + 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_GET_SLOT_REQ
for i in range(i_start, i_stop):
msg.payload.slot_num = i
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_resp_t(), 20)
if reply_msg != None:
slotNum = reply_msg.payload.slot_num
slotActive = reply_msg.payload.slot_enable
slotChannel = reply_msg.payload.channel_num
slotSz = reply_msg.payload.slot_format
self.vrb.write(" Slot Num:='{}' Enable='{}' Channel='{}' Format='{}'".format(slotNum, slotActive, slotChannel, hex(slotSz)), 2)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
def do_setSlot(self, arg):
"""
Set the Adpd device slot. Slot settings are:
Slot Size = 0IDS
#>setSlot SLOT_NUM ENABLE CHANNEL_NUM SLOT_FORMAT
#>SLOT_FORMAT 0IDS
"""
args = self._parse_args(arg, 4)
if args == None:
self.vrb.err("No slot settings supplied")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_SET_SLOT_REQ
msg.payload.slot_num = int(args[0])
msg.payload.slot_enable = int(args[1])
msg.payload.channel_num = int(args[2])
msg.payload.slot_format = int(args[3], 16)
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_resp_t(), 30)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
slotNum = reply_msg.payload.slot_num
slotActive = reply_msg.payload.slot_enable
slotChannel = reply_msg.payload.channel_num
slotSz = reply_msg.payload.slot_format
self.vrb.write(" Slot Num='{}', Enable='{}', Channel= '{}', Format='{}'".format(slotNum, slotActive, slotChannel, hex(slotSz)), 2)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Slot setting failed!")
def do_loadAdxlCfg(self, arg):
"""
Load the ADXL device configuration. The argument is the device ID to choose the dcfg file:
'362' for ADXL362
#>loadAdxlCfg [device id]
#>loadAdxlCfg 362
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No configuration specified, loading the default ADXL362 config", 2)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL, m2m2_sensor_adxl_resp_t())
msg.payload.command = M2M2_SENSOR_ADXL_COMMAND_ENUM_t.M2M2_SENSOR_ADXL_COMMAND_LOAD_CFG_REQ
if args == None:
msg.payload.deviceid = M2M2_SENSOR_ADXL_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADXL_DEVICE_362
else:
msg.payload.deviceid = int(args[0])
if msg.payload.deviceid != M2M2_SENSOR_ADXL_DEVICE_ID_ENUM_t.M2M2_SENSOR_ADXL_DEVICE_362:
self.vrb.write("Invalid device type")
return
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL, m2m2_sensor_adxl_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Loaded adxl device configuration:", 2)
self.vrb.write(" Device: '{}'".format(int(reply_msg.payload.deviceid)), 2)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Loading Adxl device configuration failed!")
def do_adxl_self_test(self, arg):
"""
Do ADXL362 self test
#>adxl_self_test
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL, m2m2_sensor_adxl_resp_t())
msg.payload.command = M2M2_SENSOR_ADXL_COMMAND_ENUM_t.M2M2_SENSOR_ADXL_COMMAND_SELF_TEST_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL, m2m2_sensor_adxl_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("ADXL self test Done", 2)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Adxl self test failed!")
def do_getSlotActive(self, arg):
"""
Get the Adpd slots active state.
#>getSlotActive : show all the slots
#>getSlotActive slot_num : show only this slot
#> 0 = inactive, 1 = active
"""
args = self._parse_args(arg, 1)
if args == None:
i_start = 1
i_stop = 13
else:
i_start = int(args[0])
i_stop = int(args[0]) + 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_active_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_GET_SLOT_ACTIVE_REQ
for i in range(i_start, i_stop):
msg.payload.slot_num = i
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_active_resp_t(), 20)
if reply_msg != None:
slotNum = reply_msg.payload.slot_num
slotActive = reply_msg.payload.slot_active
self.vrb.write(" Slot Num:='{}' Active='{}' ".format(slotNum, slotActive), 2)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
def do_setSlotActive(self, arg):
"""
Set the Adpd slot active.
#>setSlotActive SLOT_NUM ENABLE ACTIVE
#> 0 = inactive, 1 = active
"""
args = self._parse_args(arg, 2)
if args == None:
self.vrb.err("No slot settings supplied")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_active_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_SET_SLOT_ACTIVE_REQ
msg.payload.slot_num = int(args[0])
msg.payload.slot_active = int(args[1])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_slot_active_resp_t(), 30)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
slotNum = reply_msg.payload.slot_num
slotActive = reply_msg.payload.slot_active
self.vrb.write(" Slot Num='{}', Active='{}'".format(slotNum, slotActive), 2)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Slot setting failed!")
def do_setDecSample(self, arg):
"""
Set the decimation factor for stream samples. The argument is the stream and decimation factor:
Note that decimation of samples is limited to radpd, radxl, recg, rsyncppg streams
Eg: = setDecSample radpd 2
"""
address = None
args = self._parse_args(arg, 2)
if args == None:
return
for a in args:
if a in stream_name_map:
address = stream_name_map[a]["application"]
stream = stream_name_map[a]["stream"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid stream.")
return
if address in [M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000 , M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL,\
M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG ]:
msg = m2m2_packet(address, m2m2_sensor_common_decimate_stream_t())
msg.payload.command = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_SET_STREAM_DEC_FACTOR_REQ
msg.payload.stream = stream
if args[1] != None:
msg.payload.dec_factor = int(args[1])
else:
self.vrb.write("No decimation factor specified, setting the default to 1", 2)
msg.payload.dec_factor = 1
self._send_packet(msg)
reply_msg = self._get_packet(address, m2m2_sensor_common_decimate_stream_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Decimation factor set: '{}'".format(reply_msg.payload.dec_factor))
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Failed setting the decimation factor!")
else:
self.vrb.err("Unsupported for this application!")
return
def do_getDecSample(self, arg):
"""
Get the decimation factor for stream samples. The argument is the stream
Note that decimation of samples is limited to radpd, radxl, recg, rsyncppg streams
Eg: = getDecSample radpd
"""
address = None
args = self._parse_args(arg, 1)
if args == None:
return
for a in args:
if a in stream_name_map:
address = stream_name_map[a]["application"]
stream = stream_name_map[a]["stream"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid stream.")
return
if address in [M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000 , M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL,\
M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG ]:
msg = m2m2_packet(address, m2m2_sensor_common_decimate_stream_t())
msg.payload.command = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_GET_STREAM_DEC_FACTOR_REQ
msg.payload.stream = stream
self._send_packet(msg)
reply_msg = self._get_packet(address, m2m2_sensor_common_decimate_stream_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
dec_factor = reply_msg.payload.dec_factor
self.vrb.write("Got the Decimation factor:")
self.vrb.write(" Decimation Factor: '{}'".format(dec_factor))
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Failed getting the decimation factor!")
else:
self.vrb.err("Unsupported for this application!")
return
def do_setPause(self, arg):
"""
Set device to pause or unpause
#>setPause 1|0
"""
args = self._parse_args(arg, 1)
if args != None:
pauseEnable = int(args[0])
else:
pauseEnable = 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_SET_PAUSE_REQ
msg.payload.retdata[0] = pauseEnable
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Set pause device: {}".format(status))
else:
self.vrb.err("Set pause device failed!")
def do_fs_DebugInfo(self, arg):
"""
File system debug information, Command to get the packet loss and count information.
#>fs_DebugInfo radpd
"""
args = self._parse_args(arg, 1)
if args == None:
return
for a in args:
if a in stream_name_map:
stream = stream_name_map[a]["stream"]
if stream == None:
self.vrb.err("Incorrect usage! You did not provide a valid stream.")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_debug_info_req_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_FS_DEBUG_INFO_REQ
msg.payload.stream = stream
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_debug_info_resp_t(), 10)
if reply_msg != None:
self._print_file_system_status(reply_msg)
self.vrb.write(" Total Packets received : '{}'".format(int(reply_msg.payload.packets_received)))
self.vrb.write(" Total Packets missed : '{}'".format(int(reply_msg.payload.packets_missed)))
self.vrb.write(" last page read : '{}'".format(int(reply_msg.payload.last_page_read)))
self.vrb.write(" last page read offset : '{}'".format(int(reply_msg.payload.last_page_read_offset)))
self.vrb.write(" number of bytes transferred : '{}'".format(int(reply_msg.payload.num_bytes_transferred)))
self.vrb.write(" usb cdc write failed status : '{}'".format(int(reply_msg.payload.usb_cdc_write_failed)))
self.vrb.write(" bytes processed from fs task : '{}'".format(int(reply_msg.payload.bytes_read)))
else:
self.vrb.err("No response from device.Getting volume info failed.")
def do_fs_format_DebugInfo(self, arg):
"""
File system debug information, Command to get the packet loss and count information.
#>fs_format_DebugInfo
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_format_debug_info_req_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_FS_FORMAT_INFO_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_format_debug_info_resp_t(), 10)
if reply_msg != None:
self._print_file_system_status(reply_msg)
self.vrb.write(" Start block for fs format : '{}'".format(int(reply_msg.payload.format_src_blk_ind)))
self.vrb.write(" End block for fs format without wrap around : '{}'".format(int(reply_msg.payload.format_dest_blk_ind_1)))
self.vrb.write(" End block for fs format with wrap around : '{}'".format(int(reply_msg.payload.format_dest_blk_ind_2)))
self.vrb.write(" wrap around condition flag status : '{}'".format(int(reply_msg.payload.wrap_around_cond)))
self.vrb.write(" Nothing is written erase flag status : '{}'".format(int(reply_msg.payload.nothing_is_written_to_erase_error)))
self.vrb.write(" Memory full flag in partial erase : '{}'".format(int(reply_msg.payload.mem_full_in_partial_erase)))
self.vrb.write(" Number of blocks to be erased when memory full : '{}'".format(int(reply_msg.payload.mem_full_in_partial_erase)))
self.vrb.write(" Number of blocks to be erased partial erase 1 : '{}'".format(int(reply_msg.payload.num_blocks_erased_in_partial_erase_1)))
self.vrb.write(" Number of blocks to be erased partial erase 2 : '{}'".format(int(reply_msg.payload.num_blocks_erased_in_partial_erase_2)))
self.vrb.write(" Number of times format failed due to bad blocks 1: '{}'".format(int(reply_msg.payload.num_times_format_failed_due_bad_blocks_1)))
self.vrb.write(" Number of times format failed due to bad blocks 2 : '{}'".format(int(reply_msg.payload.num_times_format_failed_due_bad_blocks_2)))
self.vrb.write(" TOC memory erased flag : '{}'".format(int(reply_msg.payload.toc_mem_erased_flag)))
self.vrb.write(" Erase failed due to bad block : '{}'".format(int(reply_msg.payload.erase_failed_due_bad_block_check)))
self.vrb.write(" Successfull erase flag : '{}'".format(int(reply_msg.payload.succesfull_erase_flag)))
else:
self.vrb.err("fs format debug info failed!!.")
def do_getSystemInfo(self, arg):
"""
Get the PM device system Information
#>getSystemInfo
"""
sys_info_dict = {}
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_GET_INFO_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_info_t(), 10)
if reply_msg != None:
mac_string = ''.join('{:02X}'.format(x) for x in reply_msg.payload.mac_addr)
self.vrb.write("System Information")
self.vrb.write(" Version: '{}'".format(reply_msg.payload.version))
self.vrb.write(" MAC Address: '{}'".format(mac_string))
self.vrb.write(" Device ID: '{}'".format(reply_msg.payload.device_id))
self.vrb.write(" Model Number:'{}'".format(reply_msg.payload.model_number))
self.vrb.write(" PS Hardware: '{}'".format(reply_msg.payload.hw_id))
self.vrb.write(" BOM: '{}'".format(reply_msg.payload.bom_id))
self.vrb.write(" Batch: '{}'".format(reply_msg.payload.batch_id))
self.vrb.write(" Date: '{}'".format(reply_msg.payload.date))
board_type = self._get_enum_name(ADI_PM_BOARD_TYPE_t, reply_msg.payload.board_type)
self.vrb.write(" Board_Type: '{}'".format(board_type))
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
sys_info_dict['version'] = reply_msg.payload.version
sys_info_dict['mac_addr'] = mac_string
sys_info_dict['device_id'] = reply_msg.payload.device_id
sys_info_dict['model_number'] = reply_msg.payload.model_number
sys_info_dict['hw_id'] = reply_msg.payload.hw_id
sys_info_dict['bom_id'] = reply_msg.payload.bom_id
sys_info_dict['batch_id'] = reply_msg.payload.batch_id
sys_info_dict['date'] = reply_msg.payload.date
sys_info_dict['board_type'] = reply_msg.payload.board_type
error_stat = 0
else:
self.vrb.err("response timeout from device.")
error_stat = 1
return error_stat, sys_info_dict
def do_msg_debug(self, arg):
args = self._parse_args(arg.lower(), 1)
if args == None:
self.vrb.err("No argument was supplied!")
return
addr = M2M2_ADDR_ENUM_t.M2M2_ADDR_POST_OFFICE
pkt = m2m2_packet(addr, post_office_config_t())
if "on" in args:
pkt.payload.cmd = POST_OFFICE_CFG_CMD_ENUM_t.POST_OFFICE_CFG_CMD_MAILBOX_SUBSCRIBE
else:
pkt.payload.cmd = POST_OFFICE_CFG_CMD_ENUM_t.POST_OFFICE_CFG_CMD_MAILBOX_UNSUBSCRIBE
pkt.payload.sub = M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI
pkt.payload.box = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_DBG_STREAM
self._send_packet(pkt)
def help_msg_debug(self):
print "Enable/Disable debug messages output from the firmware"
print "Note that you must use Verbosity levels 2 and above."
print
print "-----------------------------------------------"
print "Usage:"
print " #>msg_debug [on/off]"
print
def do_clockCalibration(self, arg):
"""
Calibrate the 32M and 1M or 32K clock to reduce the deviation to a minimum
#>clockCalibration
'0' for no calibration
'1' for 32K clock calibration
'2' for 1M clock calibration
'4' for 32M clock calibration
'5' for 32K and 32M clock calibration
'6' for 1M and 32M clock calibration
-----------------------------------------------
Usage:
#>clockCalibration [clockcalid]
#>clockCalibration 6
"""
args = arg.split()
if len(args) == 0:
self.vrb.write("No clockcalid specified", 2)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_clockcal_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_CLOCK_CAL_REQ
if len(args) == 0:
msg.payload.clockcalid = self.clk_calib_val
else:
msg.payload.clockcalid = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_clockcal_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Clock Calibration:", 2)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Clock Calibration failed!")
def do_getAdpdComModeCl(self, arg):
"""
Get ctr value of a reflective object
#>getAdpdComModeCl
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_com_mode_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMUNICATION_MODE_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_com_mode_resp_t(), 20)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Get ADPD4000 Communication Mode:", 2)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Com Mode =: '{}'".format(int(reply_msg.payload.com_mode)), 2)
else:
self.vrb.err("Get ADPD Communication mode failed!")
def do_getAdpdComMode(self, arg):
"""
Get ctr value of a reflective object
#>getAdpdComMode
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD, m2m2_sensor_com_mode_resp_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMUNICATION_MODE_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD, m2m2_sensor_com_mode_resp_t(), 20)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Get ADPD Communication Mode:", 2)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Com Mode =: '{}'".format(int(reply_msg.payload.com_mode)), 2)
else:
self.vrb.err("Get ADPD Communication mode failed!")
def do_sensor(self, arg):
address = None
args = self._parse_args(arg, 2)
max_retry_cnt=1
if args == None:
return
for a in args:
if a in application_name_map:
address = application_name_map[a]["address"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
return
msg = m2m2_packet(address, m2m2_app_common_sub_op_t())
if "start" in args:
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_STREAM_START_REQ
elif "stop" in args:
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_STREAM_STOP_REQ
while max_retry_cnt > 0:
self._send_packet(msg)
reply_msg = self._get_packet(address, m2m2_app_common_sub_op_t(), 20)
if reply_msg != None:
self._print_packet_status(reply_msg)
break
else:
self.vrb.err("The device did not respond!")
max_retry_cnt = max_retry_cnt-1
def help_sensor(self):
device_str_list = ""
for device in application_name_map:
device_str_list += "\n'{}': {}".format(device, application_name_map[device]["help"])
print "Start or stop a sensor."
print
print "Available devices:{}".format(device_str_list)
print "-----------------------------------------------"
print "Usage:"
print " #>sensor [device] [start/stop]"
print
print " #>sensor adxl start"
print " #>sensor adpd stop"
print
def do_sub(self, arg):
address = None
args = self._parse_args(arg, 2)
max_retry_cnt=1
if args == None:
return
for a in args:
if a in stream_name_map:
address = stream_name_map[a]["application"]
stream = stream_name_map[a]["stream"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid stream.")
return
msg = m2m2_packet(address, m2m2_app_common_sub_op_t())
if "r" in args or "remove" in args:
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_STREAM_UNSUBSCRIBE_REQ
elif "a" in args or "add" in args:
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_STREAM_SUBSCRIBE_REQ
else:
self.vrb.err("Incorrect usage! You did not provide a valid subscription operation.")
return
msg.payload.stream = stream
while max_retry_cnt > 0:
self._send_packet(msg)
reply_msg = self._get_packet(address, m2m2_app_common_sub_op_t(), 20)
if reply_msg != None:
self._print_subscription_status(reply_msg)
break
else:
self.vrb.err("No response from device. Subscription operation failed.")
max_retry_cnt=max_retry_cnt-1
def help_sub(self):
device_str_list = ""
for device in stream_name_map:
application_name = self._get_enum_name(M2M2_ADDR_ENUM_t, int(stream_name_map[device]["application"]))
if application_name == None:
application_name = stream_name_map[device]["application"]
stream_name = self._get_enum_name(M2M2_ADDR_ENUM_t, int(stream_name_map[device]["stream"]))
if stream_name == None:
stream_name = stream_name_map[device]["stream"]
device_str_list += "\n'{}':{}:{}\n\t{}\n".format(device, application_name, stream_name, stream_name_map[device]["help"])
print "Subscribe to or unsubscribe from a data stream."
print "Note that you must start the stream separately."
print
print "Available streams: ('name':application:stream){}".format(device_str_list)
print "-----------------------------------------------"
print "Usage:"
print " #>sub [stream] [a(dd)/r(emove)]"
print
print " #>sub radxl add"
print " #>sub radpd remove"
print
def do_reg(self, arg):
'''
Perform a register operation on a device.
'''
args = self._parse_args(arg, None)
address = None
ops = []
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return 1, []
if (("r" or "read") in args and ("w" or "write") in args):
self.vrb.err("Incorrect usage! You can read OR write, not both.")
return 1, []
for l in args:
if l in application_name_map:
address = application_name_map[l]["address"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
return 1, []
if ("r" or "read") in args:
do_write = False
elif ("w" or "write") in args:
do_write = True
else:
self.vrb.err("Incorrect usage! You did not specify if you want to read or write!")
return 1, []
for arg in args:
# Filter out the device argument
if ("0x" or ":") in arg:
# See if it's a address:value pair
if ":" in arg:
reg_addr = int(arg.split(':')[0], 16)
reg_val = int(arg.split(':')[1], 16)
# See if it's just an address
elif "0x" in arg:
reg_addr = int(arg, 16)
reg_val = 0
ops.append({"address":reg_addr, "value":reg_val})
resp = self._reg_op(address, ops, do_write)
reg_result_list = []
if resp != None:
self._print_reg_result(resp)
for i in range(resp.payload.num_ops):
reg_result_list.append((hex(resp.payload.ops[i].address), hex(resp.payload.ops[i].value)))
err_stat = 0
else:
self.vrb.err("The device did not respond!")
err_stat = 1
return err_stat, reg_result_list
def help_reg(self):
device_str_list = ""
for device in application_name_map:
device_str_list += "\n'{}': {}".format(device, application_name_map[device]["help"])
print "Operate on a register. You can read OR write, and pass up to 10 register operations per command."
print
print "For adxl, only a range of registers are writable. Refer AdxlDcfg.h for this register map"
print "In the register map, bits CANNOT be written in fields which are mentioned as UNUSED in"
print "data sheet. Any write to the UNUSED bits are silently ignored during this command."
print "List of UNUSED bits for various ADXL362 registers:"
print "---------------------------------"
print "| Register | UNUSED bits |"
print "---------------------------------"
print "| 0x21 | [7:3] |"
print "---------------------------------"
print "| 0x24 | [7:3] |"
print "---------------------------------"
print "| 0x28 | [7:4] |"
print "---------------------------------"
print "| 0x2E | [7:1] |"
print "---------------------------------"
print
print "Available devices:{}".format(device_str_list)
print "-----------------------------------------------"
print "Usage:"
print " #>reg [read/write] [device] [address](:[value])"
print
print " #>reg r adpd 0x11 0x25"
print " #>reg r ad5940 0x000021E0"
print " #>reg w adxl 0x01:0x34 0x20:0x69 0x69:0xAB"
print " #>reg w adpd 0x01:0x1234 0x20:0x6959 0x69:0xBEEF"
print " #>reg w ad5940 0x000021E0:0x00000002"
print
print " Note that if you perform a write operation and give only an address, a value of 0 will be written."
print " These two commands do the same thing:"
print " #>reg w adxl 0x01:0x00"
print " #>reg w adxl 0x01"
print
def do_getDcfg(self, arg):
"""
Get the DCFG of the device. The actual contents of dcfg registers is returned in RegisterValue format as a 32-bit value
"""
args = self._parse_args(arg, None)
address = None
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
for device in args:
if device in application_name_map:
address = application_name_map[device]["address"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
return
resp = []
msg = m2m2_packet(address, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_GET_DCFG_REQ
self._send_packet(msg)
if address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000 or address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE:
_resp = self._get_packet(address, m2m2_sensor_dcfg_data_t(), 20)
if _resp == None:
self.vrb.err("Error! Timed out waiting for the device!")
return 1
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, _resp.payload.status)
resp.append(_resp)
pkt_count = _resp.payload.num_tx_pkts;
for i in range(pkt_count - 1):
_resp = self._get_packet(address, m2m2_sensor_dcfg_data_t(), 20)
if _resp == None:
self.vrb.err("Error! Timed out waiting for the device!")
return 1
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, _resp.payload.status)
resp.append(_resp)
print "Obtained the ADPD Device Configuration:"
self.vrb.write(" Num of dcfg registers: '{}'".format(int(sum(obj.payload.size for obj in resp))))
self._print_dcfg_result(resp, device)
print "Status: '{}'".format(status)
elif address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL:
_resp = self._get_packet(address, m2m2_sensor_dcfg_data_t(), 20)
if _resp == None:
self.vrb.err("Error! Timed out waiting for the device!")
return 1
else:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, _resp.payload.status)
print "Obtained the ADXL Device Configuration:"
resp.append(_resp)
self._print_dcfg_result(resp, device)
print "Status: '{}'".format(status)
else:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
def do_dumpAdpdCfg(self, arg):
"""
Dump all the register values to a file
#>dumpAdpdCfg [filename]
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
filename_dump = ".\\cfgs\\dcfg_dump.dcfg"
else:
filename_dump = ".\\cfgs\\" + args[0]
try:
fileHandler = open(filename_dump, "w")
except IOError:
print filename_dump + " not found"
else:
print "dump data to " + filename_dump
# range [0, 2e], [a0-b8], [100, 117] [120, 137], [140, 157]
start_a = 0
end_a = 0x2E
length = end_a - start_a + 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(length))
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_READ_REG_16_REQ
msg.payload.command = cmd
msg.payload.num_ops = length
for i in range(0, length):
msg.payload.ops[i].address = start_a + i
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(length), 1)
for i in range (0, length):
address = '{:04x}'.format(reply_msg.payload.ops[i].address)
value = '{:04x}'.format(reply_msg.payload.ops[i].value)
message = address + " " + value + "\n"
fileHandler.write(message)
# range [0, 2e], [a0-b8], [100, 117] [120, 137], [140, 157]
start_a = 0xA0
end_a = 0xB8
length = end_a - start_a + 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(length))
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_READ_REG_16_REQ
msg.payload.command = cmd
msg.payload.num_ops = length
for i in range(0, length):
msg.payload.ops[i].address = start_a + i
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(length), 1)
for i in range (0, length):
address = '{:04x}'.format(reply_msg.payload.ops[i].address)
value = '{:04x}'.format(reply_msg.payload.ops[i].value)
message = address + " " + value + "\n"
fileHandler.write(message)
# range [0, 2e], [a0-b8], [100, 117] [120, 137], [140, 157]
start_a = 0x100
end_a = 0x117
length = end_a - start_a + 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(length))
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_READ_REG_16_REQ
msg.payload.command = cmd
msg.payload.num_ops = length
for i in range(0, length):
msg.payload.ops[i].address = start_a + i
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(length), 1)
for i in range (0, length):
address = '{:04x}'.format(reply_msg.payload.ops[i].address)
value = '{:04x}'.format(reply_msg.payload.ops[i].value)
message = address + " " + value + "\n"
fileHandler.write(message)
fileHandler.close()
def help_getDcfg(self):
device_str_list = ""
for device in application_name_map:
device_str_list += "\n'{}': {}".format(device, application_name_map[device]["help"])
print "Get the dcfg"
print
print "Available devices:{}".format(device_str_list)
print "-----------------------------------------------"
print "Usage:"
print " #>getDcfg [device]"
print
print " #>getDcfg adpd"
print " #>getDcfg adxl"
print
def do_status(self, arg):
"""
Query status of the sensor
#>status [sensor_name] [slot_no]
Arguments:
sensor_name -> is the name of the sensor
slot -> radpd1 to radpd12 for ADPD slot A to slot L, mandatory only when sensor_name is adpd4000
Eg:
#>status adxl
#>status adpd4000 radpd6
"""
address = None
stream = None
args = self._parse_args(arg, None)
if args == None:
return
for a in args:
if a in application_name_map:
address = application_name_map[a]["address"]
if a in stream_name_map:
if address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000:
stream = stream_name_map[a]["stream"]
if address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE:
stream = stream_name_map[a]["stream"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
return
if address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000 and stream == None:
self.vrb.err("Incorrect usage! You did not provide a valid slot for ADPD.")
return
if address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE and stream == None:
self.vrb.err("Incorrect usage! You did not provide a valid slot for Temperature.")
return
msg = m2m2_packet(address, m2m2_app_common_status_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_SENSOR_STATUS_QUERY_REQ
if address != M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000 and address != M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE:
msg.payload.stream = address
else:
msg.payload.stream = stream
self._send_packet(msg)
reply_msg = self._get_packet(address, m2m2_app_common_status_t(), 10)
if reply_msg != None:
self._print_sensor_app_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def help_status(self):
device_str_list = ""
for device in application_name_map:
device_str_list += "\n'{}': {}".format(device, application_name_map[device]["help"])
print "Get status of a sensor or application."
print
print "Available devices:{}".format(device_str_list)
print "-----------------------------------------------"
print "Usage:"
print " #>status [device]"
print
print " #>status adpd4000"
print " #>status adxl"
print " #>status ppg"
print
def do_get_sensor_apps_status(self, arg):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PS
msg = m2m2_packet(address, m2m2_app_common_status_t())
msg.payload.command = M2M2_PS_SYS_COMMAND_ENUM_t.M2M2_PS_SYS_COMMAND_GET_PS_APPS_INFO_REQ
msg.payload.stream = address
self._send_packet(msg)
reply_msg = self._get_packet(address, m2m2_ps_sys_sensor_apps_info_req_t(), 100)
if reply_msg != None:
self._print_sensor_apps_info_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
@cli_logger
def do_quickstart(self, arg):
'''
Execute pre-set startup sequences for different sensors.
'''
args = self._parse_args(arg, None)
if args == None:
self.vrb.err("Incorrect usage! You did not provide any arguments.")
if args[0] in self.quickstarts:
for command in self.quickstarts[args[0]]["commands"]:
if(lowtouch.Enable_lowtouch == True) and lowtouch.Stopcmd == False:
lowtouch.Startcmd = True
self.onecmd(command)
def help_quickstart(self):
sequence_str_list = ""
for sequence in self.quickstarts:
sequence_str_list += "\n==============================="
sequence_str_list += "\n'{}': {}".format(sequence, self.quickstarts[sequence]["help"])
for cmd in self.quickstarts[sequence]["commands"]:
sequence_str_list += "\n\t->{}".format(cmd)
print "Execute pre-defined startup sequences for different sensors."
print "Implemented sequences are:{}".format(sequence_str_list)
@cli_logger
def do_quickstop(self, arg):
'''
Execute pre-set stop sequences for different applications/sensors.
'''
args = self._parse_args(arg, None)
if args == None:
self.vrb.err("Incorrect usage! You did not provide any arguments.")
if args[0] in self.quickstops:
for command in self.quickstops[args[0]]["commands"]:
if(lowtouch.Enable_lowtouch == True) and lowtouch.Startcmd == True:
lowtouch.Stopcmd = True
lowtouch.Startcmd = False
self.onecmd(command)
def help_quickstop(self):
sequence_str_list = ""
for sequence in self.quickstops:
sequence_str_list += "\n==============================="
sequence_str_list += "\n'{}': {}".format(sequence, self.quickstops[sequence]["help"])
for cmd in self.quickstops[sequence]["commands"]:
sequence_str_list += "\n\t->{}".format(cmd)
print "Execute pre-defined stop sequences for different applications/sensors."
print "Implemented sequences are:{}".format(sequence_str_list)
def do_setPpgLcfg(self, arg):
"""
Set the PPG LCFG. The argument is the LCFG ID to choose the ppg lcfg file.
Supported values are either:
'105' for ADPD105
'107' for ADPD107
Eg: = setPpgLcfg 107
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No configuration specified, setting the default ADPD107 library config", 2)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_set_lcfg_req_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_SET_LCFG_REQ
if args == None:
msg.payload.lcfgid = M2M2_SENSOR_PPG_LCFG_ID_ENUM_t.M2M2_SENSOR_PPG_LCFG_ID_ADPD4000
else:
msg.payload.lcfgid = int(args[0])
if msg.payload.lcfgid not in (M2M2_SENSOR_PPG_LCFG_ID_ENUM_t.M2M2_SENSOR_PPG_LCFG_ID_ADPD107,
M2M2_SENSOR_PPG_LCFG_ID_ENUM_t.M2M2_SENSOR_PPG_LCFG_ID_ADPD185,
M2M2_SENSOR_PPG_LCFG_ID_ENUM_t.M2M2_SENSOR_PPG_LCFG_ID_ADPD188,
M2M2_SENSOR_PPG_LCFG_ID_ENUM_t.M2M2_SENSOR_PPG_LCFG_ID_ADPD108,
M2M2_SENSOR_PPG_LCFG_ID_ENUM_t.M2M2_SENSOR_PPG_LCFG_ID_ADPD4000):
self.vrb.write("Invalid lcfg id")
return
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_set_lcfg_resp_t(), 40)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write("Set the PPG library configuration:", 2)
self.vrb.write(" Device: '{}'".format(int(msg.payload.lcfgid)), 1)
self.vrb.write(" Status: '{}'".format(status), 1)
else:
self.vrb.err("Loading Ppg library configuration failed!")
def do_lcfgPpgRead(self, arg):
"""
Read the PPG LCFG used in the Watch. The argument are the PPG LCFG addresses or the LCFG ID to choose from the ppg lcfg file:
Note that the the range of addr varies from 0x0 to 0x2E
Eg: = lcfgPpgRead addr1 addr2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_lcfg_op_hdr_t(num_ops), 60)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg == None:
print "Reading PPG LCFG failed!"
return
self._print_ppg_lcfg_result(reply_msg)
def do_lcfgPpgWrite(self, arg):
"""
Set the PPG LCFG. The argument is the PPG LCFG addresses or the LCFG ID, then VALUE to modify the ppg lcfg value:
Note that the the range of addr varies from 0x0 to 0x2E
Eg: = lcfgPpgWrite addr1 value1 addr2 value2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
num_ops >>= 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i*2]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
tempVal = args[i*2+1]
if ("0x") in tempVal:
reg_val = int(tempVal, 16)
elif ("0X") in tempVal:
reg_val = int(tempVal, 16)
else:
reg_val = int(tempVal)
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_lcfg_op_hdr_t(num_ops), 60)
if reply_msg == None:
#status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
print "Writing PPG LCFG failed!"
return
self._print_ppg_lcfg_result(reply_msg)
def do_getPpgStates(self, arg):
"""
Get the states of PPG.
Eg: = getPpgStates
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_lib_state_t())
msg.payload.command = M2M2_PPG_APP_CMD_ENUM_t.M2M2_PPG_APP_CMD_GET_LAST_STATES_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, ppg_app_lib_state_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Got the PPG States:\n")
self.vrb.write("{} -> {} -> {} -> {} -> {} -> {} -> {} -> {} -> {} -> {}\n".format(reply_msg.payload.states[0],
reply_msg.payload.states[1], reply_msg.payload.states[2], reply_msg.payload.states[3], reply_msg.payload.states[4],
reply_msg.payload.states[5], reply_msg.payload.states[6], reply_msg.payload.states[7], reply_msg.payload.states[8],
reply_msg.payload.states[9]))
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Failed getting the ppg states!")
def do_SQISetSlot(self, arg):
"""
Set the ADPD Slot on which SQI algo needs to run
Argument -> slot_no
slot_no -> ranges from 1 to 12
6 --> slotF
7 --> slotG
8 --> slotH
9 --> slotI
-----------------------------------------------
Usage:
#>SQISetSlot [slot_no]
To run SQI Algo on slot F:
#>SQISetSlot 6
To run SQI Algo on slot G:
#>SQISetSlot 7
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.err("Invalid argument! please type help <command>(help SQISetSlot) to know the usage.")
return
if int(args[0]) < 1 or int(args[0]) > 12:
self.vrb.err("Invalid Argument, out of range. please type help <command>(help SQISetSlot) to know the valid arguments")
return
slot_no = int(args[0])
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_SQI, sqi_app_set_slot_t())
msg.payload.command = M2M2_SQI_APP_CMD_ENUM_t.M2M2_SQI_APP_CMD_SET_SLOT_REQ
msg.payload.nSQISlot = pow(2, (slot_no-1))
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_SQI, sqi_app_set_slot_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Done with SQI Slot Set:")
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Failed doing SQI Slot Set!")
def do_setUCHREnab(self, arg):
"""
Command to enable/disable HR calculation from UC1,2,3,5 from a particular slot
UC HR is to be started when raw adxl, adpd applications are started
Usage:
#>setUCHREnab [enab] [slotNum]
Argument -> enab
1 --> to enable
0 --> to disable
Argument -> slotNum
slot_no -> ranges from 1 to 12
6 --> slotF
7 --> slotG
8 --> slotH
9 --> slotI
To enable UC HR calculation from slot F:
#>setUCHREnab 1 6
To disable UC HR calculation from slot F:
#>setUCHREnab 0 6
"""
args = self._parse_args(arg, 2)
if args == None:
self.vrb.err("Invalid argument! please type help <command>(help setUCHREnab) to know the usage.")
return
if int(args[0]) < 0 or int(args[0]) > 1:
self.vrb.err("Invalid Argument, please type help <command>(help setUCHREnab) to know the valid arguments")
return
enab = int(args[0])
slotNum = int(args[1])
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd_set_uc_hr_enab_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_UC_HR_ENAB_REQ
msg.payload.control = enab
msg.payload.slotNum = slotNum
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd_set_uc_hr_enab_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Done with setUCHREnab:")
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Failed doing setUCHREnab!")
def do_adpdAGCControl(self, arg):
"""
Control the Static AGC ON/OFF for ADPD app.
Arguments to be specified in following format->adpdAGCControl agc_type:agc_cntrl agc_type:agc_cntrl ...
agc_type-> 1. To Select between g/b/r/ir/mwl
mwl = 0
g = 1
r = 2
ir = 3
b = 4
agc_cntrl-> 2. To Enable AGC, arg. = 1
To Disable AGC, arg. = 0
-----------------------------------------------
Usage:
#>adpdAGCControl [agc_cntrl]
To Turn OFF STATIC AGC for MWL_VIEW
#>adpdAGCControl 0:0
To Turn ON STATIC AGC for MWL VIEW
#>adpdAGCControl 0:1
To Turn ON STATIC AGC for Green LED and Turn OFF STATIC AGC for Red LED
#>adpdAGCControl 1:1 2:0
To Turn ON STATIC AGC for IR LED and Blue LED
#>adpdAGCControl 3:1 4:1
"""
args = self._parse_args(arg, None)
if args == None:
print("Invalid arguments! please type help <command>(help ppgAGCControl) to know the usage.")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd_agc_cntrl_t(num_ops))
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_AGC_ON_OFF_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if (':' not in tempVal):
self.vrb.err("Invalid Argument Format, check help!")
return
elif ("0x") in tempVal:
agc_type = int(tempVal.split(':')[0], 16)
agc_cntrl = int(tempVal.split(':')[1], 16)
elif ("0X") in tempVal:
agc_type = int(tempVal.split(':')[0], 16)
agc_cntrl = int(tempVal.split(':')[1], 16)
else:
agc_type = int(tempVal.split(':')[0])
agc_cntrl = int(tempVal.split(':')[1])
if(agc_cntrl < 0 or agc_cntrl > 1 or agc_type < 0 or agc_type > 4):
self.vrb.err("Invalid arguments! please type help <command>(help ppgAGCControl) to know the usage.")
return
if(agc_type == 0 and num_ops > 1):
self.vrb.err("Invalid, When AGC Control is done for MWL View, AGC Control for individual LEDs should be avoided")
return
msg.payload.ops[i].agc_cntrl = agc_cntrl
msg.payload.ops[i].agc_type = agc_type
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000,m2m2_adpd_agc_cntrl_t(num_ops), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Done with Static AGC Control:")
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Failed doing Static AGC COntrol!")
def do_adpdGetAGCInfo(self, arg):
"""
Get AGC Algo Info for 4 LEDs after AGC is done and save it as file.
LED 1 -> Green
LED 2 -> Red
LED 3 -> IR
LED 4 -> Blue
No argument
-----------------------------------------------
Usage:
#>adpdGetAGCInfo
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd_agc_info_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_AGC_INFO_REQ
led_index = 0
led=4
f = open('agc_info.csv','w')
while led_index < led:
msg.payload.led_index = led_index+1
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd_agc_info_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Received AGC Info")
self.vrb.write(" Status: '{}'".format(status))
#f = open('agc_info.csv','w')
sample_cnt = 0
sample=10
f.write('LED {}\n'.format(led_index+1));
f.write('CH1, CH2\n');
while sample_cnt < sample:
f.write('{:02d}, {:02d}\n'.format((reply_msg.payload.green_ch1[sample_cnt]),(reply_msg.payload.green_ch2[sample_cnt])))
sample_cnt+=1
f.write('DC0_LEDcurrent, {:02d}\n'.format((reply_msg.payload.DC0_LEDcurrent)))
f.write('TIA_ch1_i, {:02d}\n'.format((reply_msg.payload.TIA_ch1_i)))
f.write('TIA_ch2_i, {:02d}\n\n'.format((reply_msg.payload.TIA_ch2_i)))
#f.close()
else:
self.vrb.err("Failed doing Static AGC COntrol!")
f.close()
return
led_index += 1
f.close()
def do_set_adpd_ext_datastream_odr(self, arg):
"""
specify/set odr of externally fed adpd data for sqi stream
for eg: data logged @50Hz, cmd will be -
#>set_adpd_ext_datastream_odr 50
"""
args = self._parse_args(arg, 1)
sampling_freq = int(args[0])
if(sampling_freq < 25 or sampling_freq > 100):
self.vrb.err("sampling frequency not in range")
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000,adpd_ext_data_stream_odr_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_SET_EXT_DATA_STREAM_ODR_REQ
msg.payload.sampling_freq = sampling_freq
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000,adpd_ext_data_stream_odr_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Failed in setting odr for externally fed adpd data!")
def do_send_ext_adpd_datastream(self, arg):
"""
Send external adpd data to device
(csv file should contain adpd data logged in AWT)
#>send_ext_adpd_datastream csvfilename start_row column_index
"""
args = self._parse_args(arg, 3)
num_ops = len(args)
src_addr = get_cli_addr()
start_row = int(args[1])
column_index = int(args[2])
sequence_counter=0
delay = 0.01
max_rtc_ticks_24_hr = 2764800000
column_data_list = read_csv_column(str(args[0]),column_index,start_row)
with open(str(args[0]), 'r') as f_ref:
line_list = f_ref.readline()
time_hrmmss=line_list.split(',')[2].strip()
tz_seconds=int(line_list.split(',')[4].strip())
hours=int(time_hrmmss[0:2])
minutes=int(time_hrmmss[3:5])
seconds=int(time_hrmmss[6:8])
absolute_time_ms = ((hours*3600)+(minutes*60)+seconds+tz_seconds)*1000
column_time_list = read_csv_column(str(args[0]),0,start_row)
for row in range(len(column_data_list)):
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000,adpd_ext_data_stream_t())
msg.header.src = src_addr
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_EXT_ADPD_DATA_STREAM
msg.payload.data = int(column_data_list[row])
msg.payload.timestamp = int(((column_time_list[row]+absolute_time_ms) * 32.768) % max_rtc_ticks_24_hr) # converting ms to ticks
sequence_counter = sequence_counter + 1
msg.payload.sequence_num = sequence_counter
self._send_packet(msg)
time.sleep(delay)
def do_LTAppReadCh2Cap(self, arg):
"""
Read the AD7156 CH2 Capacitace in fF. This returns SUCCESS, if LT app is ruuning, else ERROR
This is used to note the Cap value in different surfaces
#>LTAppReadCh2Cap [ntimes]
where 'ntimes' is the no:of times Cap value needs to be read
-----------------------------------------------
Usage:
#>LTAppReadCh2Cap [ntimes]
#>LTAppReadCh2Cap 6
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.write("No arguments supplied!")
return
ntimes = int(args[0])
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP, lt_app_rd_ch2_cap())
msg.payload.command = M2M2_LT_COMMAND_ENUM_t.M2M2_LT_COMMAND_RD_CH2_CAP_REQ
avgCap = 0
minCap = 1490
maxCap =0
for i in range(ntimes):
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP, lt_app_rd_ch2_cap(), 60)
if reply_msg != None:
avgCap += reply_msg.payload.capVal
if reply_msg.payload.capVal > maxCap:
maxCap = reply_msg.payload.capVal
if reply_msg.payload.capVal < minCap:
minCap = reply_msg.payload.capVal
self.vrb.write("Ch2 Cap Value:{}".format(reply_msg.payload.capVal))
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
else:
print "Read Ch2 Cap failed!"
return
avgCap = avgCap/ntimes
self.vrb.write("Average Ch2 Cap: '{}'".format(avgCap))
self.vrb.write("Minimum Ch2 Cap: '{}'".format(minCap))
self.vrb.write("Maximum Ch2 Cap: '{}'".format(maxCap))
return avgCap, minCap, maxCap
def do_lcfgLTAppRead(self, arg):
"""
Read the LT application LCFG used in the Watch. The argument are the LT LCFG addresses:
Note that the the range of addr varies from 0x0 to 0x3, as given below:
LT_APP_LCFG_ONWR_TIME = 0x0
LT_APP_LCFG_OFFWR_TIME = 0x1
LT_APP_LCFG_AIR_CAP_VAL = 0x2
LT_APP_LCFG_SKIN_CAP_VAL = 0x3
LT_APP_LCFG_TRIGGER_METHOD = 0x4
Eg: = lcfgLTAppRead addr1 addr2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP, lt_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP, lt_app_lcfg_op_hdr_t(num_ops), 20)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg == None:
print "Reading LT App LCFG failed!"
return
self._print_lt_app_lcfg_result(reply_msg)
def do_lcfgLTAppWrite(self, arg):
"""
Set the LT application LCFG. The argument is the LT app LCFG addresses or the LCFG ID, then VALUE to modify the lt app lcfg value:
Note that the the range of addr varies from 0x0 to 0x3 as given below:
LT_APP_LCFG_ONWR_TIME = 0x0
LT_APP_LCFG_OFFWR_TIME = 0x1
LT_APP_LCFG_AIR_CAP_VAL = 0x2
LT_APP_LCFG_SKIN_CAP_VAL = 0x3
LT_APP_LCFG_TRIGGER_METHOD = 0x4
Eg: = lcfgLTAppWrite addr1 value1 addr2 value2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
num_ops >>= 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP, lt_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i*2]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
tempVal = args[i*2+1]
if ("0x") in tempVal:
reg_val = int(tempVal, 16)
elif ("0X") in tempVal:
reg_val = int(tempVal, 16)
else:
reg_val = int(tempVal)
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP, lt_app_lcfg_op_hdr_t(num_ops), 60)
if reply_msg == None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
print "Writing LT App LCFG failed!"
return
self._print_lt_app_lcfg_result(reply_msg)
def _print_lt_app_lcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), packet.payload.ops[i].value])
t.display()
def do_LTAppTuning(self, arg):
"""
Steps for LT App Tuning and how to use LT App:
1. Do the tuning of LT App lcfg paramters to change either fw lcfg or add DCB lcfg
2. Choose the Trigger method: 0000 -> LT_APP_CAPSENSE_TUNED_TRIGGER, 0001 -> LT_APP_CAPSENSE_DISPLAY_TRIGGER, 0002 -> LT_APP_BUTTON_TRIGGER, 0003->LT_APP_INTERMITTENT_TRIGGER
3. Write the LT Configuration NAND/DCB after doing the LTAppTuning
#>quickstart nand_config_file_create_mv_uc1 (or any other UC..)
OR
#>quickstart gen_blk_dcb_file_create_mv_uc1 (or any other UC..)
#>write_dcb_config lt_dcb_config gen_blk_dcb.lcfg
4. To test the LT App:
For [trig_method]
0 -> LT_APP_CAPSENSE_TUNED_TRIGGER:
Wrist On/Off should turn On/Off LT logging
For [trig_method]
1 -> LT_APP_CAPSENSE_DISPLAY_TRIGGER:
Wear the watch on the wrist. From Watch display, LOW_TOUCH_LOGGING page, navigate to LT_APP sub-page, press select button to enable LT App and turn On LT logging
Remove the Watch to turn off LT logging. From LT_APP sub-page, press select button to disable the LT App.
OR
Wear the watch on the wrist. Give pm_activate_touch_sensor command to turn On LT logging.
Remove the Watch to turn off LT logging. Give pm_deactivate_touch_sensor command to turn Off LT App
For [trig_method]
2 -> LT_APP_BUTTON_TRIGGER:
Wear the watch on the wrist. From Watch display, Home page, press Select button for 3 secs, to enter into "LOG EN" sub-page, press select button to enable and turn On LT logging
Remove the Watch and connect it to USB cable to turn off LT logging.
For [trig_method]
3 -> LT_APP_INTERMITTENT_TRIGGER:
Wear the watch, by intermittent operation logs are started and stopped
------------------------------------------------------------------------------------------------
For the LT application LCFG, Note that the range of addr varies from 0x0 to 0x4 as given below:
LT_APP_LCFG_ONWR_TIME = 0x0
LT_APP_LCFG_OFFWR_TIME = 0x1
LT_APP_LCFG_AIR_CAP_VAL = 0x2
LT_APP_LCFG_SKIN_CAP_VAL = 0x3
LT_APP_LCFG_TRIGGER_METHOD = 0x4
------------------------------------------------------------------------------------------------
Usage:
LTAppTuning [option] [trig_method] [airCap] [skinCap]
[option]
dcb --> To Tune and write to lt_app_lcfg DCB blk
fw --> To Tune and replace default fw lcfg
[trig_method]
0 -> LT_APP_CAPSENSE_TUNED_TRIGGER
1 -> LT_APP_CAPSENSE_DISPLAY_TRIGGER
2 -> LT_APP_BUTTON_TRIGGER
3 -> LT_APP_INTERMITTENT_TRIGGER
[airCap]
Value in fF as observed from Display page which reads Ch2 Cap, when Watch is placed in Air, without touching bottom touch electrodes
Try to keep a min value of the lot, observed in about 10 trials
[skinCap]
Value in fF as observed from Display page which reads Ch2 Cap, when Watch is placed in skin, touching the bottom touch electrodes
Try to keep a max value of the lot, observed in about 10 trials
[airCap] & [skinCap] is not required for [trig_method] = 1 or 2
Eg: = LTAppTuning fw 0 1400 1380
Eg: = LTAppTuning dcb 0 1285 1250
Eg: = LTAppTuning fw 1
Eg: = LTAppTuning dcb 1
Eg: = LTAppTuning fw 2
Eg: = LTAppTuning dcb 2
Eg: = LTAppTuning fw 3
Eg: = LTAppTuning dcb 3
"""
args = self._parse_args(arg, None)
if len(args) == 0 or len(args) < 2:
self.vrb.write("Wrong arguments supplied!")
return
option = args[0]
trig_method = args[1]
if trig_method == "0":
if len(args) != 4:
self.vrb.write("Wrong arguments supplied!")
return
minCap_air = args[2]
maxCap_skin = args[3]
elif trig_method == "1" or trig_method == "2" or trig_method == "3":
minCap_air = "1380"
maxCap_skin = "1340"
else:
self.vrb.write("trig_method: Wrong arguments supplied!")
return
self.vrb.write("Deactivating LT app")
self.do_pm_deactivate_touch_sensor("0")
if option == "fw" and trig_method == "0" :
cmd = "lcfgLTAppWrite 0x2 " + minCap_air
self.onecmd(cmd)
cmd = "lcfgLTAppWrite 0x3 " + maxCap_skin
self.onecmd(cmd)
elif option == "fw" and trig_method == "1" :
cmd = "lcfgLTAppWrite 0x4 " + trig_method
self.onecmd(cmd)
elif option == "fw" and trig_method == "2" :
cmd = "lcfgLTAppWrite 0x4 " + trig_method
self.onecmd(cmd)
elif option == "fw" and trig_method == "3" :
cmd = "lcfgLTAppWrite 0x4 " + trig_method
self.onecmd(cmd)
elif option == "dcb" :
#Write to lt_app_lcfg_dcb.lcfg file
str1 = "#lt_app_lcfg_dcb.lcfg"
str2 = "00 1B58 #ONWR_TIME hex value in ms; 7000ms = 0x1B58"
str3 = "01 1388 #OFFWR_TIME hex value in ms; 5000ms = 0x1388"
airCap = str(hex(int(minCap_air,10)))
airCap = airCap.replace('0x','0')
str4 = "02 " + airCap + " #AIR_CAP_VAL hex value in fF;"
skinCap = str(hex(int(maxCap_skin,10)))
skinCap = skinCap.replace('0x','0')
str5 = "03 " + skinCap + " #SKIN_CAP_VAL hex value in fF;"
trig_method = "000"+trig_method
str6 = "04 " + trig_method + " #LT_APP_LCFG_TRIGGER_METHOD hex value; 0000 -> LT_APP_CAPSENSE_TUNED_TRIGGER, 0001 -> LT_APP_CAPSENSE_DISPLAY_TRIGGER, 0002 -> LT_APP_BUTTON_TRIGGER, 0003->LT_APP_INTERMITTENT_TRIGGER"
f = open('dcb_cfg/lt_app_dcb.lcfg','w')
f.write(str1)
f.write('\n')
f.write(str2)
f.write('\n')
f.write(str3)
f.write('\n')
f.write(str4)
f.write('\n')
f.write(str5)
f.write('\n')
f.write(str6)
f.write('\n')
f.close()
#Write to lt_app_lcfg_dcb block
cmd = "write_dcb_config lt_app_lcfg lt_app_dcb.lcfg"
self.onecmd(cmd)
else:
self.vrb.write("Wrong option given, check help & retry")
#self.vrb.write("Activating LT app")
#self.do_pm_activate_touch_sensor("0")
def do_get_user0_config_app_state(self, arg):
"""
This is a command, to get the current user0 config app state in the Watch Fw.
It is based on this value that current operation happens in user0 config app. Its either one of the enum value:
STATE_ADMIT_STANDBY = 0,
STATE_START_MONITORING = 1,
STATE_SLEEP = 2,
STATE_INTERMITTENT_MONITORING = 3,
STATE_INTERMITTENT_MONITORING_START_LOG = 4,
STATE_INTERMITTENT_MONITORING_STOP_LOG = 5,
STATE_END_MONITORING = 6,
STATE_CHARGING_BATTERY = 7,
STATE_OUT_OF_BATTERY_STATE_BEFORE_START_MONITORING = 8,
STATE_OUT_OF_BATTERY_STATE_DURING_INTERMITTENT_MONITORING = 9,
#>get_user0_config_app_state
"""
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP
msg = m2m2_packet(address, user0_config_app_set_state_t())
msg.payload.command = M2M2_USER0_CONFIG_APP_COMMAND_ENUM_t.M2M2_USER0_CONFIG_APP_COMMAND_GET_STATE_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_set_state_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK):
print("user0 config app state in the Watch Fw : {} ").format(reply_msg.payload.state)
self._print_user0_app_state(reply_msg.payload.state)
else:
self.vrb.err("Error occured while reading state")
else:
self.vrb.err("The device did not respond!")
def do_set_user0_config_app_state(self, arg):
"""
This is a command, to set the current user0 config app state in the Watch Fw.
It is based on this value that current operation happens in user0 config app. Its either one of the enum value:
STATE_ADMIT_STANDBY = 0,
STATE_START_MONITORING = 1,
STATE_SLEEP = 2,
STATE_INTERMITTENT_MONITORING = 3,
STATE_INTERMITTENT_MONITORING_START_LOG = 4,
STATE_INTERMITTENT_MONITORING_STOP_LOG = 5,
STATE_END_MONITORING = 6,
STATE_CHARGING_BATTERY = 7,
STATE_OUT_OF_BATTERY_STATE_BEFORE_START_MONITORING = 8,
STATE_OUT_OF_BATTERY_STATE_DURING_INTERMITTENT_MONITORING = 9,
#>set_max_tx_pkt_comb_cnt 0
"""
args = self._parse_args(arg, 1)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP
msg = m2m2_packet(address, user0_config_app_set_state_t())
msg.payload.command = M2M2_USER0_CONFIG_APP_COMMAND_ENUM_t.M2M2_USER0_CONFIG_APP_COMMAND_SET_STATE_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
msg.payload.state = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_set_state_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK):
print("state changed in Watch Fw to : {} ").format(reply_msg.payload.state)
else:
self.vrb.err("Error occured while writing state")
else:
self.vrb.err("The device did not respond!")
def do_hw_id(self, arg):
"""
This is a command, to read/write/delete hw_id in the Watch Fw.
Usage:
hw_id [option] [hw_id]
[option]
read --> To read the hw_id
write --> To write the hw_id
delete --> To delete the hw_id
[hw_id]
value from 1- 99 range to be set the hw_id as. Pass this only for the write option.
Eg:
#>hw_id read
#>hw_id write 99
#>hw_id delete
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP
msg = m2m2_packet(address, user0_config_app_id_t())
msg.payload.command = M2M2_USER0_CONFIG_APP_COMMAND_ENUM_t.M2M2_USER0_CONFIG_APP_COMMAND_ID_OP_REQ
if args[0] == "read":
msg.payload.id_sel = ID_SELECTION_ENUM_t.ID_HW_ID
msg.payload.id_op = ID_OPERATION_MODE_ENUM_t.ID_OPERATION_MODE_READ
elif args[0] == "write" and args[1]:
msg.payload.id_sel = ID_SELECTION_ENUM_t.ID_HW_ID
msg.payload.id_op = ID_OPERATION_MODE_ENUM_t.ID_OPERATION_MODE_WRITE
msg.payload.id_num = int(args[1])
elif args[0] == "delete":
msg.payload.id_sel = ID_SELECTION_ENUM_t.ID_HW_ID
msg.payload.id_op = ID_OPERATION_MODE_ENUM_t.ID_OPERATION_MODE_DELETE
else:
print("Wrong arguments chosen, please check help and retry")
return
msg.payload.status = M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_id_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK):
if args[0] == "read":
print("HW ID Read back: {} ").format(reply_msg.payload.id_num)
elif args[0] == "write":
print("HW ID write successful")
elif args[0] == "delete":
print("HW ID delete successful")
else:
self.vrb.err("Error occured while doing hw_id request")
else:
self.vrb.err("The device did not respond!")
def do_exp_id(self, arg):
"""
This is a command, to read/write/delete exp_id in the Watch Fw.
Usage:
exp_id [option] [exp_id]
[option]
read --> To read the exp_id
write --> To write the exp_id
delete --> To delete the exp_id
[exp_id]
value from 1-9999 to be set the exp_id as. Pass this only for the write option.
Eg:
#>exp_id read
#>exp_id write 1122
#>exp_id delete
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP
msg = m2m2_packet(address, user0_config_app_id_t())
msg.payload.command = M2M2_USER0_CONFIG_APP_COMMAND_ENUM_t.M2M2_USER0_CONFIG_APP_COMMAND_ID_OP_REQ
if args[0] == "read":
msg.payload.id_sel = ID_SELECTION_ENUM_t.ID_EXP_ID
msg.payload.id_op = ID_OPERATION_MODE_ENUM_t.ID_OPERATION_MODE_READ
elif args[0] == "write" and args[1]:
msg.payload.id_sel = ID_SELECTION_ENUM_t.ID_EXP_ID
msg.payload.id_op = ID_OPERATION_MODE_ENUM_t.ID_OPERATION_MODE_WRITE
msg.payload.id_num = int(args[1])
elif args[0] == "delete":
msg.payload.id_sel = ID_SELECTION_ENUM_t.ID_EXP_ID
msg.payload.id_op = ID_OPERATION_MODE_ENUM_t.ID_OPERATION_MODE_DELETE
else:
print("Wrong arguments chosen, please check help and retry")
return
msg.payload.status = M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_id_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK):
if args[0] == "read":
print("Exp ID Read back: {} ").format(reply_msg.payload.id_num)
elif args[0] == "write":
print("Exp ID write successful")
elif args[0] == "delete":
print("Exp ID delete successful")
else:
self.vrb.err("Error occured while doing exp_id request")
else:
self.vrb.err("The device did not respond!")
def do_clear_user0_prev_state_event(self, arg):
"""
This is a command, to clear the user0 config app's previous state, event received and the corresponding timestamp structure maintained registered in the Watch Fw.
Usage:
clear_user0_prev_state_event
Eg:
#>clear_user0_prev_state_event
"""
args = self._parse_args(arg, 0)
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP
msg = m2m2_packet(address, m2m2_user0_config_app_cmd_t())
msg.payload.command = M2M2_USER0_CONFIG_APP_COMMAND_ENUM_t.M2M2_USER0_CONFIG_APP_CLEAR_PREV_ST_EVT_REQ
msg.payload.status = M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, m2m2_user0_config_app_cmd_t(), 10)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK):
print("The structure is cleared")
else:
self.vrb.err("Error occured while doing clear_user0_prev_state_event request")
else:
self.vrb.err("The device did not respond!")
def do_get_user0_prev_state_event(self, arg):
"""
This is a command, to get the user0 config app's previous state, event received and the corresponding timestamp registered in the Watch Fw.
Usage:
get_user0_prev_state_event
Eg:
#>get_user0_prev_state_event
"""
args = self._parse_args(arg, 0)
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP
msg = m2m2_packet(address, user0_app_prev_state_event_pkt_t())
msg.payload.command = M2M2_USER0_CONFIG_APP_COMMAND_ENUM_t.M2M2_USER0_CONFIG_APP_GET_PREV_ST_EVT_REQ
msg.payload.status = M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_app_prev_state_event_pkt_t(), 10)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK):
print("Prev state0 Read back-")
self._print_user0_app_state(reply_msg.payload.prev_st_evt[0].prev_state)
print("Prev event0 Read back-")
self._print_user0_app_event(reply_msg.payload.prev_st_evt[0].prev_event)
print("Prev timestamp0 Read back: {} ").format(reply_msg.payload.prev_st_evt[0].prev_timestamp)
print("Prev state1 Read back-")
self._print_user0_app_state(reply_msg.payload.prev_st_evt[1].prev_state)
print("Prev event1 Read back-")
self._print_user0_app_event(reply_msg.payload.prev_st_evt[1].prev_event)
print("Prev timestamp1 Read back: {} ").format(reply_msg.payload.prev_st_evt[1].prev_timestamp)
print("Prev state2 Read back-")
self._print_user0_app_state(reply_msg.payload.prev_st_evt[2].prev_state)
print("Prev event2 Read back-")
self._print_user0_app_event(reply_msg.payload.prev_st_evt[2].prev_event)
print("Prev timestamp2 Read back: {} ").format(reply_msg.payload.prev_st_evt[2].prev_timestamp)
print("Prev state3 Read back-")
self._print_user0_app_state(reply_msg.payload.prev_st_evt[3].prev_state)
print("Prev event3 Read back-")
self._print_user0_app_event(reply_msg.payload.prev_st_evt[3].prev_event)
print("Prev timestamp3 Read back: {} ").format(reply_msg.payload.prev_st_evt[3].prev_timestamp)
print("Intermittent Operation Count: {} ").format(reply_msg.payload.intermittent_op_cnt)
else:
self.vrb.err("Error occured while doing get_user0_prev_state_event request")
else:
self.vrb.err("The device did not respond!")
def do_bypass_user0_timings(self, arg):
"""
This is a command, to enable/disable bypass of user0 config app timings, to force continuous mode of operation from the sensors.
Will be needed when continuous operation is required, when there is user timings meant for intermittent operation and it is LT Mode3
Usage:
#>bypass_user0_timings 0
#>bypass_user0_timings 1
"""
args = self._parse_args(arg, 1)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP
msg = m2m2_packet(address, user0_app_bypass_user0_timings_pkt_t())
msg.payload.command = M2M2_USER0_CONFIG_APP_COMMAND_ENUM_t.M2M2_USER0_CONFIG_APP_BYPASS_USER0_TIMINGS_REQ
msg.payload.status = M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK
msg.payload.enable = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_app_bypass_user0_timings_pkt_t(), 10)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_USER0_CONFIG_APP_STATUS_ENUM_t.M2M2_USER0_CONFIG_APP_STATUS_OK):
print("Bypass user0 timings set to : {} ").format(reply_msg.payload.enable)
else:
self.vrb.err("Error occured while doing bypass_user0_timings request")
else:
self.vrb.err("The device did not respond!")
def _print_user0_app_event(self, event):
status = self._get_enum_name(USER0_CONFIG_APP_EVENT_t, event)
if status == None:
self.vrb.err("Error decoding a packet's return event value!")
return
self.vrb.write(" Event Read back: '{}'".format(status))
def _print_user0_app_state(self, state):
status = self._get_enum_name(USER0_CONFIG_APP_STATE_t, state)
if status == None:
self.vrb.err("Error decoding a packet's return state value!")
return
self.vrb.write(" State Read back: '{}'".format(status))
def do_lcfgUser0ConfigAppRead(self, arg):
"""
Read the User0 Config application LCFG used in the Watch. The argument are the user0_config_app LCFG addresses:
Note that the the range of addr varies from 0x0 to 0x8, as given below:
USER0_CONFIG_LCFG_AGC_UP_TH = 0x0 //!< Upper limit of LED light intensity for Static AGC - 1byte, Setting range: 1-127, Increment: 1, Unit: LSB
USER0_CONFIG_LCFG_AGC_LOW_TH = 0x1 //!< Lower limit of LED light intensity for Static AGC - 1byte, Setting range: 1-127, Increment: 1, Unit: LSB
USER0_CONFIG_LCFG_ADV_TIMEOUT_MONITOR = 0x2 /* Elapsed time from the start of advertising after finishing PPG,
* EDA, body temperature, and acceleration measurement during
* intermittent operation to the time out - 2byte, Setting range: 10-300, Increment: 10, Unit: second */
USER0_CONFIG_LCFG_HW_ID = 0x3 //!< Unique identification number assigned to each wristband - 2byte, Setting range: 00-99, Increment: 1, Unit: NA
USER0_CONFIG_LCFG_EXP_ID = 0x4 //!< Patient-specific identification number assigned to each case - 2byte, Setting range: 0000-9999, Increment: 1, Unit: NA
USER0_CONFIG_LCFG_TEMP_MEAS_SEC = 0x5 //!< Time to measure body temperature - 2byte, Setting range: 1-60, Increment: 1, Unit: second
USER0_CONFIG_LCFG_PPG_MEAS_SEC = 0x6 //! Time to measure PPG, EDA, acceleration - 2byte, Setting range: 1-180, Increment: 1, Unit: second
USER0_CONFIG_LCFG_SLEEP_MIN = 0x7 //!< Sleep time of intermittent operation - 2byte, Setting range: 1-180, Increment: 1, Unit: minute
USER0_CONFIG_LCFG_SIGNAL_THRESHOLD = 0x8 //!< AD threshold for determining light intensity and TIA gain with static AGC - 4byte, Setting range: 1-(2^(14-1)*127), Increment: 1, Unit: LSB
Eg: = lcfgUser0ConfigAppRead addr1 addr2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_lcfg_op_hdr_t(num_ops), 20)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg == None:
print "Reading user0 config App LCFG failed!"
return
self._print_user0_config_app_lcfg_result(reply_msg)
def do_lcfgUser0ConfigAppWrite(self, arg):
"""
Set the User0 Config App application LCFG. The argument is the User0 Config App LCFG addresses or the LCFG ID, then VALUE to modify the User0 Config App lcfg value:
Note that the the range of addr varies from 0x0 to 0x8 as given below:
USER0_CONFIG_LCFG_AGC_UP_TH = 0x0 //!< Upper limit of LED light intensity for Static AGC - 1byte, Setting range: 1-127, Increment: 1, Unit: LSB
USER0_CONFIG_LCFG_AGC_LOW_TH = 0x1 //!< Lower limit of LED light intensity for Static AGC - 1byte, Setting range: 1-127, Increment: 1, Unit: LSB
USER0_CONFIG_LCFG_ADV_TIMEOUT_MONITOR = 0x2 /* Elapsed time from the start of advertising after finishing PPG,
* EDA, body temperature, and acceleration measurement during
* intermittent operation to the time out - 2byte, Setting range: 10-300, Increment: 10, Unit: second */
USER0_CONFIG_LCFG_HW_ID = 0x3 //!< Unique identification number assigned to each wristband - 2byte, Setting range: 00-99, Increment: 1, Unit: NA
USER0_CONFIG_LCFG_EXP_ID = 0x4 //!< Patient-specific identification number assigned to each case - 2byte, Setting range: 0000-9999, Increment: 1, Unit: NA
USER0_CONFIG_LCFG_TEMP_MEAS_SEC = 0x5 //!< Time to measure body temperature - 2byte, Setting range: 1-60, Increment: 1, Unit: second
USER0_CONFIG_LCFG_PPG_MEAS_SEC = 0x6 //! Time to measure PPG, EDA, acceleration - 2byte, Setting range: 1-180, Increment: 1, Unit: second
USER0_CONFIG_LCFG_SLEEP_MIN = 0x7 //!< Sleep time of intermittent operation - 2byte, Setting range: 1-180, Increment: 1, Unit: minute
USER0_CONFIG_LCFG_SIGNAL_THRESHOLD = 0x8 //!< AD threshold for determining light intensity and TIA gain with static AGC - 4byte, Setting range: 1-(2^(14-1)*127), Increment: 1, Unit: LSB
Choose value to the addr according to range mentioned.
Eg: = lcfgUser0ConfigAppWrite addr1 value1 addr2 value2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
num_ops >>= 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i*2]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
tempVal = args[i*2+1]
if ("0x") in tempVal:
reg_val = int(tempVal, 16)
elif ("0X") in tempVal:
reg_val = int(tempVal, 16)
else:
reg_val = int(tempVal)
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP, user0_config_app_lcfg_op_hdr_t(num_ops), 60)
if reply_msg == None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
print "Writing user0 config App LCFG failed!"
return
self._print_user0_config_app_lcfg_result(reply_msg)
def _print_user0_config_app_lcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), packet.payload.ops[i].value])
t.display()
def _print_ppg_lcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), hex(packet.payload.ops[i].value)])
t.display()
def _print_file_system_status(self, packet):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
status = self._get_enum_name(M2M2_FILE_SYS_STATUS_ENUM_t, packet.payload.status)
if status == None:
self.vrb.err("Error decoding a packet's return status value!")
return
self.vrb.write(" Status: '{}'".format(status))
def _print_file_count_status(self, packet):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
status = self._get_enum_name(M2M2_FILE_SYS_STATUS_ENUM_t, packet.payload.status)
if status == None:
self.vrb.err("Error decoding a packet's return status value!")
return
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" No. of Files Present: '{}'".format(packet.payload.file_count))
def _print_file_info_status(self, packet):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
status = self._get_enum_name(M2M2_FILE_SYS_STATUS_ENUM_t, packet.payload.status)
if status == None:
self.vrb.err("Error decoding a packet's return status value!")
return
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" File Name: {}".format(cast(packet.payload.file_name, c_char_p).value))
self.vrb.write(" Start Page used: '{}'".format(packet.payload.start_page))
self.vrb.write(" End Page used: '{}'".format(packet.payload.end_page))
self.vrb.write(" File Size: '{}'".format(packet.payload.file_size))
def _print_page_read_test_status(self, packet,print_en):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
status = self._get_enum_name(M2M2_FILE_SYS_STATUS_ENUM_t, packet.payload.status)
if status == None:
self.vrb.err("Error decoding a packet's return status value!")
return
self.vrb.write(" Page Number Read: '{}'".format(packet.payload.page_num))
self.vrb.write(" Data Region status: '{}'".format(packet.payload.data_region_status))
self.vrb.write(" ECC Zone Status: '{}'".format(packet.payload.ecc_zone_status))
if(print_en):
self.vrb.write(" Next Writeable Page: {}".format(packet.payload.next_page))
self.vrb.write(" Is Page Occupied: '{}'".format(packet.payload.occupied))
self.vrb.write(" Number of bytes written in current page: '{}'".format(packet.payload.num_bytes_written))
self.vrb.write(" Number of bytes read: '{}'".format(packet.payload.num_bytes))
print(" Samples of Data read : ")
cnt = 0
for item in packet.payload.sample_data[:packet.payload.num_bytes]:
cnt +=1
print( "{}: '{}'".format(cnt,item))
def _print_packet_status(self, packet):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
self.vrb.err("Error decoding a packet's return status value!")
return
self.vrb.write(" Status: '{}'".format(status))
def _print_low_touch_status(self, packet):
#status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, packet.payload.status)
#if status == None:
# status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, packet.payload.status)
if status == None:
self.vrb.err("Error decoding a packet's return status value!")
return
self.vrb.write(" Status: '{}'".format(status))
def _print_reg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Address", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].address), hex(packet.payload.ops[i].value)])
t.display()
def _print_dcfg_result(self, resp_packets, sensor):
t = table(["Address", "Value"])
for j in range(len(resp_packets)):
packet = resp_packets[j]
for i in range(packet.payload.size):
if sensor == 'adpd4000' or sensor == 'temperature':
value = packet.payload.dcfgdata[i] & 0X0000FFFF;
address = (packet.payload.dcfgdata[i] & 0XFFFF0000)>> 16;
t.add_row([hex(address), hex(value)])
elif sensor == 'adxl':
Reg1 = (packet.payload.dcfgdata[i] & 0xFFFF0000)>> 16;
Reg2 = packet.payload.dcfgdata[i] & 0X0000FFFF;
if Reg1 != 0:
address = (Reg1 & (0xFF00)) >> 8;
value = (Reg1 & (0x00FF));
t.add_row([hex(address), hex(value)])
if Reg2 != 0:
address = (Reg2 & (0xFF00)) >> 8;
value = (Reg2 & (0x00FF));
t.add_row([hex(address), hex(value)])
t.display()
def _print_sensor_app_status(self, packet):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
status = int(packet.payload.status)
app = self._get_enum_name(M2M2_ADDR_ENUM_t, packet.header.src)
stream = self._get_enum_name(M2M2_ADDR_ENUM_t, packet.payload.stream)
if stream == None:
stream = hex(packet.payload.stream)
num_subscribers = int(packet.payload.num_subscribers)
num_start_reqs = int(packet.payload.num_start_reqs)
self.vrb.write("Application: {}:".format(app))
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Stream ID: '{}'".format(stream))
self.vrb.write(" Number of Subscribers: '{}'".format(num_subscribers))
self.vrb.write(" Number of Start Requests: '{}'".format(num_start_reqs))
def _print_sensor_apps_info_status(self, packet):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
status = int(packet.payload.status)
stream = self._get_enum_name(M2M2_ADDR_ENUM_t, packet.header.src)
if stream == None:
stream = hex(packet.payload.stream)
#self.vrb.write("Resp Pkt: {}:".format((packet)))
num_sensor_apps = int(packet.payload.num_sensor_apps)
self.vrb.write("Number of sensor apps on PS board: {} \n".format(num_sensor_apps))
for i in range(num_sensor_apps):
sensor_application = self._get_enum_name(M2M2_ADDR_ENUM_t,packet.payload.app_info[i].sensor_app_id)
num_subscribers = int(packet.payload.app_info[i].num_subscribers)
num_start_reqs = int(packet.payload.app_info[i].num_start_reqs)
self.vrb.write("Sensor Application: {}:".format(sensor_application))
self.vrb.write(" Number of Subscribers: '{}'".format(num_subscribers))
self.vrb.write(" Number of Start Requests: '{}'\n\n".format(num_start_reqs))
def _reg_op(self, address, ops, do_write):
'''
Operate on some registers. The address is 'address', 'ops' is a list of
address:value dictionaries, and do_write is True to write, False to read.
'''
num_ops = len(ops)
if address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA:
msg = m2m2_packet(address, m2m2_sensor_common_reg_op_32_hdr_t(num_ops))
if do_write == True:
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_WRITE_REG_32_REQ
elif do_write == False:
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_READ_REG_32_REQ
else:
msg = m2m2_packet(address, m2m2_sensor_common_reg_op_16_hdr_t(num_ops))
if do_write == True:
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_WRITE_REG_16_REQ
elif do_write == False:
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_READ_REG_16_REQ
msg.payload.command = cmd
msg.payload.num_ops = num_ops
for i in range(0, num_ops):
msg.payload.ops[i].address = ops[i]['address']
msg.payload.ops[i].value = ops[i]['value']
self._send_packet(msg)
if address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA:
return self._get_packet(address, m2m2_sensor_common_reg_op_32_hdr_t(num_ops))
else:
return self._get_packet(address, m2m2_sensor_common_reg_op_16_hdr_t(num_ops))
def _dispatcher(self, q_map, s_map):
"""
The 'dispatcher' thread function. This takes messages from the server, and
inserts them into a queue based on their source address.
"""
self.vrb.write("Dispatcher up!", 4)
while True:
packet = self.rx_q.get()
pkt_header = pack_header(packet)
if int(pkt_header.src) == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_DBG_STREAM:
pkt = m2m2_packet(0, m2m2_debug_data_t())
pkt.unpack(packet)
self.vrb.write("##DBG:{}".format((cast(pkt.payload.str, c_char_p).value)), 2)
if int(pkt_header.src) in self.sock_map:
self.vrb.write("RX::{}".format(format_hex(packet)), 4)
try:
self.sock_map[pkt_header.src].send(packet)
except:
self.sock_map.pop(pkt_header.src, None)
addr = self._get_enum_name(M2M2_ADDR_ENUM_t, int(pkt_header.src))
if addr == None:
addr = ""
self.vrb.err("The socket {}({}) was broken!".format(addr, int(pkt_header.src)))
else:
self.vrb.write("RX::{}".format(format_hex(packet)), 3)
try:
destination_q = q_map[pkt_header.src].put(packet)
except:
self.vrb.err("Error routing a packet: {}".format(format_hex(packet)))
def _get_enum_name(self, enum, value):
"""
Search an enum class "enum" to see if it contains an attribute "value". Use this
to get enum name strings from their raw integer values.
"""
try:
name = vars(enum).keys()[vars(enum).values().index(value)]
except Exception as e:
self.vrb.write("Couldn't find value {} in enum {}".format(value, type(enum).__name__), 4)
name = None
return name
def _send_packet(self, msg):
"""
Send a packet to the server.
"""
if self.m2m2_server == None or not self.m2m2_server.is_connected():
self.vrb.err("Not connected to a serial device!")
return
try:
pkt = msg.pack()
except:
pkt = msg
if lowtouch.Enable_lowtouch == True:
if lowtouch.Startcmd == True:
lowtouch.Startcmdcount += 1
lowtouch.Startcmdlen += len(pkt)
elif lowtouch.Stopcmd == True:
lowtouch.Stopcmdcount += 1
lowtouch.Stopcmdlen += len(pkt)
lowtouch.User_File += pkt
self.vrb.write("TX::{}".format(format_hex(pkt)))
return None
self.vrb.write("TX::{}".format(format_hex(pkt)), 3)
self.tx_q.put(pkt)
def _get_packet(self, source, payload, timeout = 1):
"""
Get block for 'timeout' seconds waiting for a message from the 'source'
address. Returns None if it times out.
"""
if lowtouch.Enable_lowtouch == True:
return None
packet = m2m2_packet(0, payload)
try:
raw_pkt = self.dispatcher_map[source].get(timeout=timeout)
except Queue.Empty:
return None
try:
packet.unpack(raw_pkt)
return packet
except Exception as e:
self.vrb.err("Error unpacking a packet: {}".format(e))
return None
def _parse_args(self, arg, num_args = None):
"""
Check that an 'arg' string contains the correct number of arguments,
and returns a list of those arguments. Set num_args = None to prevent
checking.
"""
args = arg.split()
if num_args == None:
return args
if len(args) != num_args:
self.vrb.err("Incorrect number of arguments! You passed: '{}'".format(arg))
return None
else:
return args
def _get_version(self, address):
msg = m2m2_packet(address, m2m2_app_common_version_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_GET_VERSION_REQ
self._send_packet(msg)
return self._get_packet(address, m2m2_app_common_version_t(),1000)
def _print_version_pkt(self, packet):
app_name = self._get_enum_name(M2M2_ADDR_ENUM_t, packet.header.src)
if app_name == None:
app_name = "{}".format(hex(packet.header.src))
try:
self.vrb.write("Version info from '{}':".format(app_name))
self.vrb.write(" Major: '{}'".format(int(packet.payload.major)))
self.vrb.write(" Minor: '{}'".format(int(packet.payload.minor)))
self.vrb.write(" Patch: '{}'".format(int(packet.payload.patch)))
self.vrb.write(" String: '{}'".format(cast(packet.payload.verstr, c_char_p).value))
# Cast the git_version string to a c_char_p pointer, and access its value as a Python string
self.vrb.write(" String: '{}'".format(cast(packet.payload.str, c_char_p).value))
except Exception as e:
self.vrb.err("There was an error printing the version information: {}".format(e))
def _print_file_list(self, packet):
file_info_dict = {}
try:
filetype = self._get_enum_name(FILE_TYPE_ENUM_t, packet.payload.filetype)
filesize = int(packet.payload.filesize)
self.vrb.write("FILE: {}".format(cast(packet.payload.full_file_name, c_char_p).value))
self.vrb.write("FILE_TYPE: '{}'".format(filetype))
self.vrb.write("FILE_SIZE: '{}'\n".format(filesize))
file_info_dict = {'file': cast(packet.payload.full_file_name, c_char_p).value,
'file_type': filetype, 'file_size': filesize}
except Exception as e:
self.vrb.err("There was an error printing the file list: {}".format(e))
return file_info_dict
def _subscribe(self, address, stream, sub_unsub):
msg = m2m2_packet(address, m2m2_app_common_sub_op_t())
if sub_unsub == True:
command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_STREAM_SUBSCRIBE_REQ
elif sub_unsub == False:
command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_STREAM_UNSUBSCRIBE_REQ
else:
return None
msg.payload.command = command
msg.payload.stream = stream
self._send_packet(msg)
return self._get_packet(address, m2m2_app_common_sub_op_t())
def _print_subscription_status(self, packet):
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, packet.payload.status)
if status == None:
status = int(packet.payload.status)
stream = self._get_enum_name(M2M2_ADDR_ENUM_t, packet.payload.stream)
if stream == None:
stream = hex(packet.payload.stream)
source = self._get_enum_name(M2M2_ADDR_ENUM_t, packet.header.src)
if source == None:
source = hex(packet.header.src)
self.vrb.write("Application: {}:".format(source), 2)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Stream ID: '{}'".format(stream), 2)
def _LoadCfg(self, filename):
print filename
try:
f = open(filename)
except IOError:
print filename + "not found"
else:
lines = f.readlines()
f.close()
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(1))
cmd = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_WRITE_REG_16_REQ
msg.payload.command = cmd
msg.payload.num_ops = 1
timeStart = time.time()
for line in lines:
if not line.strip():
continue
splitline = line.rstrip('\n').split(None,2)
try:
address = int(splitline[0], 16)
value = int(splitline[1], 16)
if (len(splitline)>2):
comment = splitline[2]
else:
comment = ''
#Bridge.writeReg(address, value)
print ("Set [0x%04x] = 0x%04x " % (address, value) + comment)
msg.payload.ops[0].address = address
msg.payload.ops[0].value = value
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_common_reg_op_16_hdr_t(1), 1)
except ValueError:
print " " + line
elaspTime = time.time()
elaspTime -= timeStart
print "Loading configure file done. Elasp time=%f" %(elaspTime)
return
def _get_free_port(self):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
s.bind(('localhost', 0))
except socket.error as msg:
print 'Bind failed. Error Code : ' + str(msg[0]) + ' Message ' + msg[1]
return None
s.listen(1)
port = s.getsockname()[1]
s.close()
return port
def do_setDateTime(self, arg):
"""
Set date and time. Current PC time will be sent to the device.
#>setDateTime
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_date_time_req_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_SET_DATE_TIME_REQ
now = datetime.datetime.now()
is_dst = time.daylight and time.localtime().tm_isdst > 0
utc_offset = - (time.altzone if is_dst else time.timezone)
msg.payload.year = now.year
msg.payload.month = now.month
msg.payload.day = now.day
msg.payload.hour = now.hour
msg.payload.minute = now.minute
msg.payload.second = now.second
msg.payload.TZ_sec = utc_offset
self._send_packet(msg)
self.vrb.write("date and time: {}".format(now), 2)
self.vrb.write("timezone: {}".format(utc_offset), 2)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Command return status: {}".format(status))
def do_getDateTime(self, arg):
"""
Get date and time.Getting PM current date and time.
#>getDateTime
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_GET_DATE_TIME_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_date_time_req_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("date and time: {}-{:02}-{:02} {:02}:{:02}:{:02}".format((int(reply_msg.payload.year)),(int(reply_msg.payload.month)),(int(reply_msg.payload.day)),(int(reply_msg.payload.hour)),(int(reply_msg.payload.minute)),(int(reply_msg.payload.second))))
self.vrb.write("timezone: {}".format(int(reply_msg.payload.TZ_sec)))
self.vrb.write("Command return status: {}".format(status))
now = datetime.datetime.now()
self.vrb.write("PC Time: {}".format(now))
date_time_dict = {'year': int(reply_msg.payload.year), 'month': int(reply_msg.payload.month), 'day': int(reply_msg.payload.day),
'hour': int(reply_msg.payload.hour), 'min': int(reply_msg.payload.minute), 'sec': int(reply_msg.payload.second),
'timezone': int(reply_msg.payload.TZ_sec)}
err_stat = int(status, 16)
return err_stat, date_time_dict
def do_getPoMemUtil(self, arg):
"""
Get PO memory utilization statistics
#>getPoMemUtil
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_GET_PO_MEMORY_UTILIZATION_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_get_po_memory_utilization_cmd_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Min_num_free_blks_type2: {}".format(int(reply_msg.payload.min_num_free_blks_type2)))
self.vrb.write("Min_num_free_blks_type4: {}".format(int(reply_msg.payload.min_num_free_blks_type4)))
self.vrb.write("Min_num_free_blks_type5: {}".format(int(reply_msg.payload.min_num_free_blks_type5)))
self.vrb.write("Block_2_allocated: {}".format(int(reply_msg.payload.block_2_allocated)))
self.vrb.write("Block_4_allocated: {}".format(int(reply_msg.payload.block_4_allocated)))
self.vrb.write("Block_5_allocated: {}".format(int(reply_msg.payload.block_5_allocated)))
self.vrb.write("Block_2_freed: {}".format(int(reply_msg.payload.block_2_freed)))
self.vrb.write("Block_4_freed: {}".format(int(reply_msg.payload.block_4_freed)))
self.vrb.write("Block_5_freed: {}".format(int(reply_msg.payload.block_5_freed)))
self.vrb.write("Command return status: {}".format(status))
def do_clearPoMemUtil(self, arg):
"""
Clear memory utilization statistics
#>clearPoMemUtil
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_CLEAR_PO_MEMORY_UTILIZATION_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_clear_po_memory_utilization_cmd_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Command return status: {}".format(status))
def do_setManufactureDate(self, arg):
"""
Set the Manufacture Date of Watch, from the current PC time.
#>setManufactureDate
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_manufacture_date_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_SET_MANUFACTURE_DATE_REQ
now = datetime.datetime.now()
msg.payload.year = now.year
msg.payload.month = now.month
msg.payload.day = now.day
self._send_packet(msg)
self.vrb.write("Manufacture date being set to : {} {} {}".format(now.year,now.month,now.day), 1)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_manufacture_date_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Command return status: {}".format(status))
def do_getManufactureDate(self, arg):
"""
Get the Manufacture Date of Watch.
#>getDateTime
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_manufacture_date_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_GET_MANUFACTURE_DATE_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_manufacture_date_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Manufacture date: {}-{:02}-{:02}".format((int(reply_msg.payload.year)),(int(reply_msg.payload.month)),(int(reply_msg.payload.day))))
self.vrb.write("Command return status: {}".format(status))
def do_system_reset(self, arg):
"""
Send a command to the Device to Restart - software reset.
#>system_reset
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_pwr_state_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_SYSTEM_RESET_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_pwr_state_t(), 3)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Command return status: {}".format(status))
#self.m2m2_server.quit()
def do_system_hw_reset(self, arg):
"""
Send a command to the Device to Restart - hardware reset.
#>system_hw_reset
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_pwr_state_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_SYSTEM_HW_RESET_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_pwr_state_t(), 3)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Command return status: {}".format(status))
self.vrb.write("Wait for 25.6 secs for reset to happen")
#self.m2m2_server.quit()
def get_dcfg_data_list(self, f_path):
"""
To get address & variable list from a file that contains dcfg
:param f_path:
:return:
"""
with open(f_path, 'r') as f_ref:
line_list = f_ref.readlines()
addr_list, val_list = [], []
for line in line_list:
if line.strip() and line.strip()[0] != '#':
addr_val_list = line.split(' ')
addr_list.append(addr_val_list[0].strip())
val_list.append(addr_val_list[1].strip())
return addr_list, val_list
def do_loadAdpdUCDcfg(self, arg):
"""
Load ADPD device with UC dcfg using "reg w add:val" command. Argument to be passed is:
[uc] as defined below:
1 --> UC1
2 --> UC2
...
5 --> UC5
The Watch dvt version specific register set is loaded
-----------------------------------------------
Usage:
#>loadAdpdUCDcfg [uc]
#>loadAdpdUCDcfg 2
#>loadAdpdUCDcfg 5
"""
args = self._parse_args(arg, None)
if len(args) == 0 or len(args) != 1:
self._p_err("Wrong arguments supplied!")
return
uc = int(args[0])
dvt_revision = self.dvt_ver
self.vrb.write("Loading Cfg for Watch version: {}".format(dvt_revision))
curr_dir = os.getcwd()
dcb_cfg_dir = os.path.join(curr_dir, 'mv_uc_dcfg')
if uc == 1 and dvt_revision == "dvt1":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT1_UseCase1.dcfg')
elif uc == 1 and dvt_revision == "dvt2":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT2_UseCase1.dcfg')
elif uc == 2 and dvt_revision == "dvt1":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT1_UseCase2.dcfg')
elif uc == 2 and dvt_revision == "dvt2":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT2_UseCase2.dcfg')
elif uc == 3 and dvt_revision == "dvt1":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT1_UseCase3.dcfg')
elif uc == 3 and dvt_revision == "dvt2":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT2_UseCase3.dcfg')
elif uc == 4 and dvt_revision == "dvt1":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT1_UseCase4.dcfg')
elif uc == 4 and dvt_revision == "dvt2":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT2_UseCase4.dcfg')
elif uc == 5 and dvt_revision == "dvt1":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT1_UseCase5.dcfg')
elif uc == 5 and dvt_revision == "dvt2":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT2_UseCase5.dcfg')
elif uc == 6 and dvt_revision == "dvt1":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT1_UseCase1_multi_thermistor.dcfg')
elif uc == 6 and dvt_revision == "dvt2":
dcb_file = os.path.join(dcb_cfg_dir, 'DVT2_UseCase1_multi_thermistor.dcfg')
else:
self.vrb.write("Wrong UC/DVT revision selected. Check help & retry")
return
addr_list, val_list = self.get_dcfg_data_list(dcb_file)
j=0
add_val_list = "adpd4000 w"
for i, addr in enumerate(addr_list):
add_val = " 0x" + addr + ":0x" + val_list[i]
add_val_list = add_val_list + add_val
j+=1
if j == 30:
self.do_reg(add_val_list)
j=0
add_val_list = "adpd4000 w "
#self.do_reg('{} w 0x{}:0x{}'.format(dev, addr, val_list[i]))
#self.do_reg('adpd4000 w 0x{}:0x{}'.format(addr, val_list[i]))
self.do_reg(add_val_list)
def do_loadPpgUCLcfg(self, arg):
"""
Load PPG Application with UC lcfg using "lcfgPpgWrite add:val" command. Argument to be passed is:
[uc] as defined below:
1 --> UC1
2 --> UC2
...
5 --> UC5
-----------------------------------------------
Usage:
#>loadPpgUCLcfg [uc]
#>loadPpgUCLcfg 2
#>loadPpgUCLcfg 5
#>loadPpgUCLcfg 6
"""
args = self._parse_args(arg, None)
if len(args) == 0 or len(args) != 1:
self._p_err("Wrong arguments supplied!")
return
uc = int(args[0])
curr_dir = os.getcwd()
dcb_cfg_dir = os.path.join(curr_dir, 'mv_uc_dcfg')
if uc == 1:
lcfg_file = os.path.join(dcb_cfg_dir, 'ppg_case1.lcfg')
elif uc == 2:
lcfg_file = os.path.join(dcb_cfg_dir, 'ppg_case2.lcfg')
elif uc == 3:
lcfg_file = os.path.join(dcb_cfg_dir, 'ppg_case3.lcfg')
elif uc == 4:
lcfg_file = os.path.join(dcb_cfg_dir, 'ppg_case4.lcfg')
elif uc == 5:
lcfg_file = os.path.join(dcb_cfg_dir, 'ppg_case5.lcfg')
elif uc == 6:
lcfg_file = os.path.join(dcb_cfg_dir, 'ppg_case6.lcfg')
else:
self.vrb.write("Wrong UC selected. Check help & retry")
return
addr_list, val_list = self.get_dcfg_data_list(lcfg_file)
#print addr_list
#print val_list
j=0
add_val = ""
for i, addr in enumerate(addr_list):
add_val += " 0x" + addr + " 0x" + val_list[i]
j+=1
if j == 30:
self.do_lcfgPpgWrite(add_val)
#print add_val
j=0
add_val = ""
self.do_lcfgPpgWrite(add_val)
def do_delay(self, arg):
"""
Give a fixed delay to be used in between running the test
-----------------------------------------------
Usage:
#>delay 2
"""
args = self._parse_args(arg)
try:
delay = int(args[0])
except:
delay = 5
time.sleep(delay)
def do_msg_verbose(self, arg):
args = self._parse_args(arg, 1)
if args == None:
return
try:
lvl = int(args[0])
self.vrb.set_level(lvl)
except:
self.vrb.err("Invalid argument!", 1)
def do_read_dcb_config(self,arg):
"""
Send a command to Read the DCB Configurations of the specific sensor of the Board,
which is then saved into a file with name [sensor_name]_dcb_get.dcfg (ex. - adxl_dcb_get.dcfg), which will be present in 'tools/dcb_dcfg/' directory.
Currently dcb configurations can be read for adpd4000, adxl, ppg, ecg, eda, lt_dcb_config, ad7156, lt_app_lcfg, user0_config.
ex. read_dcb_config [sensor_name]
#>read_dcb_config adpd4000
"""
Sensor_Address = None
args = self._parse_args(arg,1)
if args == None:
self.vrb.err("Incorrect usage! Please check help.")
return 1
for a in args:
if a in application_name_map:
Sensor_Address = application_name_map[a]["address"]
if Sensor_Address == None:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
return 1
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
else:
print "The requested config dcb is not supported"
return
Array_Element = None
msg.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_READ_CONFIG_REQ
#msg.payload.size = rdSize #len(Adpd_org_4000_g) + 1
self._send_packet(msg)
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_temperature_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_adxl_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ppg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ecg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_eda_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_bia_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_gen_blk_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ad7156_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_lt_app_lcfg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_user0_blk_data_t(), 20)
else:
pass
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return 1
status = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
ECnt = 0
Array_Element_Count_r = int(reply_msg.payload.size)
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
f = open('dcb_cfg/adxl_dcb_get.dcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:04X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:02X} {:02X}'.format((reply_msg.payload.dcbdata[ECnt]>>8),(reply_msg.payload.dcbdata[ECnt] & 0xff)))
f.write('\n')
ECnt+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
num_of_pkts = int(reply_msg.payload.num_of_pkts)
reply_msg_list = []
status_list = []
p = 1 #Start with second packet
while p < num_of_pkts:
_reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t(), 20)
if _reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device! at pkt 2")
return 1
status = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, _reply_msg.payload.status)
if status == None:
status = format(_reply_msg.payload.status, '#04x')
reply_msg_list.append(_reply_msg)
status_list.append(status)
p = p+1
f = open('dcb_cfg/adpd4000_dcb_get.dcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:04X} {:04X}'.format((reply_msg.payload.dcbdata[ECnt]>>16),(reply_msg.payload.dcbdata[ECnt] & 0xffff)))
f.write('\n')
ECnt+=1
Array_Element_Count_r = int(reply_msg.payload.size)
if(len(reply_msg_list) > 0):
p = 0 #Start with second packet, index=0 from reply_msg_list
while p < (num_of_pkts-1):
reply_msg = reply_msg_list[p]
Array_Element_Count_r_pkt = int(reply_msg.payload.size)
ECnt = 0
while ECnt < Array_Element_Count_r_pkt:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:04X} {:04X}'.format((reply_msg.payload.dcbdata[ECnt]>>16),(reply_msg.payload.dcbdata[ECnt] & 0xffff)))
f.write('\n')
ECnt+=1
Array_Element_Count_r = Array_Element_Count_r + int(reply_msg.payload.size) #Update total read size
p = p+1
status = status_list[p-2]
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
num_of_pkts = int(reply_msg.payload.num_of_pkts)
reply_msg_list = []
status_list = []
reply_msg_list.append(reply_msg)
status_list.append(status)
p = 1 #Start with second packet
while p < num_of_pkts:
_reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_temperature_data_t(), 20)
if _reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device! at pkt 2")
return 1
status = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, _reply_msg.payload.status)
if status == None:
status = format(_reply_msg.payload.status, '#04x')
reply_msg_list.append(_reply_msg)
status_list.append(status)
p = p+1
f = open('dcb_cfg/temperature_lcfg_dcb_get.lcfg','w')
Array_Element_Count_r = 0
if(len(reply_msg_list) > 0):
p = 0 #Start with first packet, index=0 from reply_msg_list
while p < (num_of_pkts):
reply_msg = reply_msg_list[p]
Array_Element_Count_r_pkt = int(reply_msg.payload.size)
ECnt = 0
while ECnt < Array_Element_Count_r_pkt:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:08X}'.format((reply_msg.payload.dcbdata[ECnt])))
f.write('\n')
ECnt+=1
Array_Element_Count_r = Array_Element_Count_r + int(reply_msg.payload.size) #Update total read size
p = p+1
status = status_list[p-1]
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
f = open('dcb_cfg/ppg_dcb_get.lcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:02X} {:08X}'.format(ECnt,(reply_msg.payload.dcbdata[ECnt])))
f.write('\n')
ECnt+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
f = open('dcb_cfg/ecg_dcb_get.lcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:02X} {:04X}'.format(((reply_msg.payload.dcbdata[ECnt]>>16) & 0xff),(reply_msg.payload.dcbdata[ECnt] & 0xffff)))
f.write('\n')
ECnt+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
f = open('dcb_cfg/eda_dcb_get.lcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:02X} {:04X}'.format(((reply_msg.payload.dcbdata[ECnt]>>16) & 0xff),(reply_msg.payload.dcbdata[ECnt] & 0xffff)))
f.write('\n')
ECnt+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
f = open('dcb_cfg/bia_dcb_get.lcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:010X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:02X} {:08X}'.format(ECnt,(reply_msg.payload.dcbdata[ECnt] & 0xffffffff)))
f.write('\n')
ECnt+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
num_of_pkts = int(reply_msg.payload.num_of_pkts)
reply_msg_list = []
status_list = []
p = 1 #Start with second packet
while p < num_of_pkts:
_reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_gen_blk_data_t(), 20)
if _reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device! at pkt 2")
return 1
status = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, _reply_msg.payload.status)
if status == None:
status = format(_reply_msg.payload.status, '#04x')
reply_msg_list.append(_reply_msg)
status_list.append(status)
p = p+1
f = open('dcb_cfg/gen_blk_dcb_get.lcfg','w')
self.vrb.write("**********Packet {} **********".format(1))
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('0x{:08X}'.format(((reply_msg.payload.dcbdata[ECnt]))))
f.write('\n')
ECnt+=1
#print(len(reply_msg_list))
Array_Element_Count_r = int(reply_msg.payload.size)
p = 0 #Start with second packet, index=0 from reply_msg_list
while p < (num_of_pkts-1):
self.vrb.write("**********Packet {} **********".format(p+2))
reply_msg = reply_msg_list[p]
Array_Element_Count_r_pkt = int(reply_msg.payload.size)
ECnt = 0
while ECnt < Array_Element_Count_r_pkt:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('0x{:08X}'.format(((reply_msg.payload.dcbdata[ECnt]))))
f.write('\n')
ECnt+=1
Array_Element_Count_r = Array_Element_Count_r + int(reply_msg.payload.size) #Update total read size
p = p+1
if num_of_pkts > 1:
status = status_list[p-2]
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
f = open('dcb_cfg/ad7156_dcb_get.dcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:04X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:02X} {:02X}'.format((reply_msg.payload.dcbdata[ECnt]>>8),(reply_msg.payload.dcbdata[ECnt] & 0xff)))
f.write('\n')
ECnt+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
f = open('dcb_cfg/lt_app_lcfg_dcb_get.lcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:04X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:02X} {:02X}'.format((reply_msg.payload.dcbdata[ECnt]>>8),(reply_msg.payload.dcbdata[ECnt] & 0xff)))
f.write('\n')
ECnt+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
f = open('dcb_cfg/user0_blk_dcb_get.lcfg','w')
while ECnt < Array_Element_Count_r:
self.vrb.write("Read Settings : 0x{:08X} {}".format(int(reply_msg.payload.dcbdata[ECnt]),ECnt))
f.write('{:08X}'.format((reply_msg.payload.dcbdata[ECnt])))
f.write('\n')
ECnt+=1
else:
pass
f.close
self.vrb.write("DCB Entries: {:02} Size : {:02} bytes".format(int(Array_Element_Count_r),int(Array_Element_Count_r)*4))
self.vrb.write("Command return status: {}".format(status))
if status.upper() == 'M2M2_DCB_STATUS_OK':
return 0
else:
return 1
def do_write_dcb_config(self,arg):
"""
Send a command to Write the DCB Configurations of the specific sensor of the Board from its dcfg file.
Currently the dcb configuration to be written is read from a dcfg file, stored in 'tools/dcb_dcfg/' directory.
The dcb configurations can be written for adpd4000, adxl, ppg, ecg eda, lt_dcb_config, ad7156, lt_app_lcfg, user0_config.
ex. write_dcb_config [sensor_name] [file_name]
#>write_dcb_config adxl adxl_dcb.dcfg
"""
Sensor_Address = None
pkt_cnt = 1
args = self._parse_args(arg,2)
if args == None:
self.vrb.err("Incorrect usage! Please check help.")
return 1
filename = 'dcb_cfg/' + args[1]
for a in args:
if a in application_name_map:
Sensor_Address = application_name_map[a]["address"]
if Sensor_Address == None:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
return 1
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
adpd4000_dcb_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
dcb =str[0].replace(' ','').replace('\t','').replace('\n','')
adpd4000_dcb_cfg.append(int(dcb,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t())
pkt_cnt = len(adpd4000_dcb_cfg)/MAXADPD4000DCBSIZE
if len(adpd4000_dcb_cfg)%MAXADPD4000DCBSIZE:
pkt_cnt = pkt_cnt + 1
if pkt_cnt > 4 :
print "ADPD4000 DCB File Size exceed. Retry with smaller files"
return
if pkt_cnt == 1 :
msg.payload.size = 0
msg.payload.num_of_pkts = 1
elif pkt_cnt == 2 :
msg.payload.size = 0
msg.payload.num_of_pkts = 2
#2nd pkt#
msg2 = m2m2_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t())
msg2.payload.size = 0
msg2.payload.num_of_pkts = msg.payload.num_of_pkts
msg2.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
elif pkt_cnt == 3 :
msg.payload.size = 0
msg.payload.num_of_pkts = 3
#2nd pkt#
msg2 = m2m2_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t())
msg2.payload.size = 0
msg2.payload.num_of_pkts = msg.payload.num_of_pkts
msg2.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
#3rd pkt#
msg3 = m2m2_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t())
msg3.payload.size = 0
msg3.payload.num_of_pkts = msg.payload.num_of_pkts
msg3.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
elif pkt_cnt == 4 :
msg.payload.size = 0
msg.payload.num_of_pkts = 4
#2nd pkt#
msg2 = m2m2_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t())
msg2.payload.size = 0
msg2.payload.num_of_pkts = msg.payload.num_of_pkts
msg2.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
#3rd pkt#
msg3 = m2m2_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t())
msg3.payload.size = 0
msg3.payload.num_of_pkts = msg.payload.num_of_pkts
msg3.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
#4th pkt#
msg4 = m2m2_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t())
msg4.payload.size = 0
msg4.payload.num_of_pkts = msg.payload.num_of_pkts
msg4.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
print "Number of pkts:{}".format(msg.payload.num_of_pkts)
Array_Element = adpd4000_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
adpd4000_dcb_temp_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
slot_tag_list = {
'<TEMP_SLOTA_DCB>': 0x01,
'<TEMP_SLOTB_DCB>': 0x02,
'<TEMP_SLOTC_DCB>': 0x04,
'<TEMP_SLOTD_DCB>': 0x08,
'<TEMP_SLOTE_DCB>': 0x10,
'<TEMP_SLOTF_DCB>': 0x20,
'<TEMP_SLOTG_DCB>': 0x40,
'<TEMP_SLOTH_DCB>': 0x80,
'<TEMP_SLOTI_DCB>': 0x100,
'<TEMP_SLOTJ_DCB>': 0x200,
'<TEMP_SLOTK_DCB>': 0x400,
'<TEMP_SLOTL_DCB>': 0x800,
}
hdr_start_list = ['<TEMP_DCB>','<TEMP_SLOTC_DCB>','<TEMP_SLOTD_DCB>','<TEMP_SLOTJ_DCB>',
'<TEMP_SLOTK_DCB>','<TEMP_SLOTL_DCB>']
hdr_stop_list = ['</TEMP_DCB>', '</TEMP_SLOTC_DCB>', '</TEMP_SLOTD_DCB>', '</TEMP_SLOTJ_DCB>',
'</TEMP_SLOTK_DCB>', '</TEMP_SLOTL_DCB>']
hdr_start = 0
slots_selected = 0
hdr_start_str = ""
loop_cnt = 0
hdr_stop = 0
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
str = str[0].replace('\t', '').replace('\n', '')
str = str.split(' ')
# print("lines: {}".format(str[0]))
if str[0] in hdr_start_list:
hdr_start = 1
hdr_stop = 0
hdr_start_str = str[0]
# print("hdr start str = {}".format(hdr_start_str))
loop_cnt = 0;
elif str[0] in hdr_stop_list:
hdr_start = 0
hdr_stop = 1
hdr_stop_str = str[0]
# print("hdr stop str = {}".format(hdr_stop_str))
elif hdr_start == 1:
if hdr_start_str == '<TEMP_DCB>':
adpd4000_dcb_temp_cfg.append(int(str[1], 16))
loop_cnt += 1
if loop_cnt == 2:
slots_selected = int(str[1],16)
# print("slots selected = {:X}".format(slots_selected))
else:
loop_cnt += 1
slot_en_mask = slot_tag_list[hdr_start_str]
# print("slot_en_mask :{}".format(slot_en_mask))
if slots_selected & slot_en_mask:
adpd4000_dcb_temp_cfg.append(int(str[1], 16))
# print("slot tag:{}, val ={}".format(hdr_start_str,int(str[1],16)))
# dcb =str[0].replace(' ','').replace('\t','').replace('\n','')
#adpd4000_dcb_temp_cfg.append(int(dcb,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_temperature_data_t())
pkt_cnt = len(adpd4000_dcb_temp_cfg)/MAXADPD4000DCBSIZE
if len(adpd4000_dcb_temp_cfg)%MAXADPD4000DCBSIZE:
pkt_cnt = pkt_cnt + 1
if pkt_cnt > 2 :
print "Temperature LCFG DCB File Size exceed. Retry with smaller files"
return
if pkt_cnt == 1 :
msg.payload.size = 0
msg.payload.num_of_pkts = 1
elif pkt_cnt == 2 :
msg.payload.size = 0
msg.payload.num_of_pkts = 2
#2nd pkt#
msg2 = m2m2_packet(Sensor_Address, m2m2_dcb_temperature_data_t())
msg2.payload.size = 0
msg2.payload.num_of_pkts = msg.payload.num_of_pkts
msg2.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
print "Number of pkts:{}".format(msg.payload.num_of_pkts)
Array_Element = adpd4000_dcb_temp_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
adxl_dcb_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
dcb = str[0].replace(' ','').replace('\t','').replace('\n','')
adxl_dcb_cfg.append(int(dcb,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_adxl_data_t())
Array_Element = adxl_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
ppg_dcb_lcfg = arr.array('i',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t' or line[0]=='/'):
continue
else:
str = line.split('#')
str = str[0].split('/')
str = str[0].split(' ')
str = str[1].replace(' ','').replace('\t','').replace('\n','')
ppg_dcb_lcfg.append(int(str,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_ppg_data_t())
Array_Element = ppg_dcb_lcfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
ecg_dcb_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
str = str[0].split(' ')
val1 = str[0]
val2 = str[1].replace(' ','').replace('\t','').replace('\n','')
val = (int(val1,16) << 16) | (int(val2,16))
ecg_dcb_cfg.append(val)
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_ecg_data_t())
Array_Element = ecg_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
eda_dcb_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
str = str[0].split(' ')
val1 = str[0]
val2 = str[1].replace(' ','').replace('\t','').replace('\n','')
val = (int(val1,16) << 16) | (int(val2,16))
eda_dcb_cfg.append(val)
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_eda_data_t())
Array_Element = eda_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
bia_dcb_cfg = []
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
str = str[0].split('/')
str = str[0].split(' ')
str = str[1].replace(' ','').replace('\t','').replace('\n','')
bia_dcb_cfg.append(int(str,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_bia_data_t())
Array_Element = bia_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
gen_blk_dcb_cfg = arr.array('I',[])
try:
f = open(filename,"rb")
except:
self.vrb.err("Invalid File Name")
return 1
chunk_len = 256
bytes_read = 0
if f != None:
while True:
config_buffer = f.read(chunk_len)
if not config_buffer:
break
temp_array = list(bytearray(config_buffer))
index = 0
while index < len(temp_array):
data = [ temp_array[index], temp_array[index+1] , temp_array[index+2], temp_array[index+3] ]
index += 4
# Show hex values of data.
#print(list('%02x' % b for b in data))
#Convert to 4 byte unsigned integer data interpreting data as being in little-endian byte order.
value = struct.unpack("<I", bytearray(data))[0]
#print(hex(value))
gen_blk_dcb_cfg.append(value)
bytes_read = bytes_read + len(config_buffer)
f.close()
pkt_cnt = len(gen_blk_dcb_cfg)/MAXGENBLKDCBSIZE
if len(gen_blk_dcb_cfg)%MAXGENBLKDCBSIZE :
pkt_cnt =pkt_cnt + 1
if pkt_cnt > 18 : #Max no: of pkt count = 18 , to support 57*4*18 = 4104 bytes in gen block DCB
print "GEN_BLK DCB File Size exceed.Retry with smaller files"
return
print "Number of pkts:{}".format(pkt_cnt)
msg_list = [] #list to hold msg of type m2m2_packet()
p = 0 #Start with 1st msg pkt; index from 0 to pkt_cnt-1
while p < pkt_cnt:
msg = m2m2_packet(Sensor_Address, m2m2_dcb_gen_blk_data_t())
msg.payload.size = 0
msg.payload.num_of_pkts = pkt_cnt
msg.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
msg_list.append(msg)
p+=1
Array_Element = gen_blk_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
ad7156_dcb_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
dcb = str[0].replace(' ','').replace('\t','').replace('\n','')
ad7156_dcb_cfg.append(int(dcb,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_ad7156_data_t())
Array_Element = ad7156_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
lt_app_lcfg_dcb_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
dcb = str[0].replace(' ','').replace('\t','').replace('\n','')
lt_app_lcfg_dcb_cfg.append(int(dcb,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_lt_app_lcfg_data_t())
Array_Element = lt_app_lcfg_dcb_cfg
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
user0_config_app_dcb_cfg = arr.array('I',[])
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
dcb = str[0].replace(' ','').replace('\t','').replace('\n','')
user0_config_app_dcb_cfg.append(int(dcb,16))
f.close()
msg = m2m2_packet(Sensor_Address, m2m2_dcb_user0_blk_data_t())
Array_Element = user0_config_app_dcb_cfg
else:
Array_Element = NULL
print "Wrong blk name selected"
return 1
msg.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_WRITE_CONFIG_REQ
ECnt = 0
Array_Element_Count_w = len(Array_Element)
while ECnt < Array_Element_Count_w:
#print "{} {}".format(Array_Element_Count_w, ECnt)
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
if ECnt >= (3*MAXADPD4000DCBSIZE) and ECnt <= (4*MAXADPD4000DCBSIZE):
msg4.payload.size = msg4.payload.size + 1
msg4.payload.dcbdata[ECnt%MAXADPD4000DCBSIZE] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg4.payload.dcbdata[ECnt%MAXADPD4000DCBSIZE]), int(ECnt%(MAXADPD4000DCBSIZE))))
elif ECnt >= (2*MAXADPD4000DCBSIZE) and ECnt <= (3*MAXADPD4000DCBSIZE):
msg3.payload.size = msg3.payload.size + 1
msg3.payload.dcbdata[ECnt%MAXADPD4000DCBSIZE] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg3.payload.dcbdata[ECnt%MAXADPD4000DCBSIZE]), int(ECnt%(MAXADPD4000DCBSIZE))))
elif ECnt >= (1*MAXADPD4000DCBSIZE) and ECnt <= (2*MAXADPD4000DCBSIZE):
msg2.payload.size = msg2.payload.size + 1
msg2.payload.dcbdata[ECnt%MAXADPD4000DCBSIZE] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg2.payload.dcbdata[ECnt%MAXADPD4000DCBSIZE]), int(ECnt%(MAXADPD4000DCBSIZE))))
else:
msg.payload.size = msg.payload.size + 1
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
if ECnt >= (1*MAXTEMPRLCFGDCBSIZE) and ECnt <= (2*MAXTEMPRLCFGDCBSIZE):
msg2.payload.size = msg2.payload.size + 1
msg2.payload.dcbdata[ECnt%MAXTEMPRLCFGDCBSIZE] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg2.payload.dcbdata[ECnt%MAXTEMPRLCFGDCBSIZE]), int(ECnt%(MAXTEMPRLCFGDCBSIZE))))
else:
msg.payload.size = msg.payload.size + 1
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:04X} {}".format(int(msg.payload.dcbdata[ECnt]),int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]),int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
elif (Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
p = 0 #For M2M2_ADDR_APP_LT_APP, Start with 1st msg pkt; index from 0 to pkt_cnt-1
while p < pkt_cnt:
if ECnt >= (p*MAXGENBLKDCBSIZE) and ECnt < ((p+1)*MAXGENBLKDCBSIZE):
msg_list[p].payload.size = msg_list[p].payload.size + 1
msg_list[p].payload.dcbdata[ECnt%MAXGENBLKDCBSIZE] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg_list[p].payload.dcbdata[ECnt%MAXGENBLKDCBSIZE]), int(ECnt%(MAXGENBLKDCBSIZE))))
break
p+=1
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
msg.payload.dcbdata[ECnt] = int(Array_Element[ECnt])
self.vrb.write("Write Settings : 0x{:08X} {}".format(int(msg.payload.dcbdata[ECnt]), int(ECnt)))
else:
pass
ECnt += 1
if(Sensor_Address != M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
if pkt_cnt == 1:
msg.payload.size = Array_Element_Count_w
else:
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
msg.payload.size = MAXADPD4000DCBSIZE
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
msg.payload.size = MAXTEMPRLCFGDCBSIZE
'''else:
print"Something went wrong"
return'''
self._send_packet(msg)
else:
p = 0 #Only for M2M2_ADDR_APP_LT_APP, Start with 1st msg pkt; index from 0 to pkt_cnt-1
num_bytes = 0
while p < pkt_cnt:
self.vrb.write("********** Sending gen_blk_dcb packet ({}) of size:{} ********** ".format((p+1),msg_list[p].payload.size))
self._send_packet(msg_list[p])
#time.sleep(0.01)
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_gen_blk_data_t(), 20)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device, with {} pkt receive!".format((p+1)))
return 1
status = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Size : {:02}".format(int(msg_list[p].payload.size)))
num_bytes += int(msg_list[p].payload.size)
self.vrb.write("Command return status: {}".format(status))
if status.upper() != 'M2M2_DCB_STATUS_OK':
return 1
p+=1
self.vrb.write("\nWrite DCB Entries: {:02} Size : {:02} bytes".format(num_bytes, num_bytes*4))
return 0
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_temperature_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_adxl_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ppg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ecg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_eda_data_t(), 20)
elif (Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_bia_data_t(), 20)
#elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
# reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_gen_blk_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ad7156_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_lt_app_lcfg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_user0_blk_data_t(), 20)
else:
pass
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
print"Error! Timed out waiting for the device!"
return 1
status = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Size : {:02}".format(int(msg.payload.size)))
self.vrb.write("Command return status: {}".format(status))
if status.upper() != 'M2M2_DCB_STATUS_OK':
return 1
if pkt_cnt >= 2:
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
self.vrb.write("Sending ADPD4000 DCB packet 2 of size:{}".format(msg2.payload.size))
#time.sleep(0.04)
self._send_packet(msg2)
reply_msg2 = self._get_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
self.vrb.write("Sending Temperature LCFG DCB packet 2 of size:{}".format(msg2.payload.size))
#time.sleep(0.04)
self._send_packet(msg2)
reply_msg2 = self._get_packet(Sensor_Address, m2m2_dcb_temperature_data_t(), 20)
if reply_msg2 == None:
self.vrb.err("Error! Timed out waiting for the device, with 2nd pkt receive!")
return 1
status2 = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, reply_msg2.payload.status)
if status2 == None:
status2 = format(reply_msg2.payload.status, '#04x')
self.vrb.write("Size : {:02}".format(int(msg2.payload.size)))
self.vrb.write("Command return status: {}".format(status2))
if status2.upper() != 'M2M2_DCB_STATUS_OK':
return 1
if pkt_cnt >= 3:
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
self.vrb.write("Sending ADPD4000 DCB packet 3 of size:{}".format(msg3.payload.size))
#time.sleep(0.04)
self._send_packet(msg3)
reply_msg3 = self._get_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t(), 20)
if reply_msg3 == None:
self.vrb.err("Error! Timed out waiting for the device, with 3rd pkt receive!")
return 1
status3 = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, reply_msg3.payload.status)
if status3 == None:
status3 = format(reply_msg3.payload.status, '#04x')
self.vrb.write("Size : {:02}".format(int(msg3.payload.size)))
self.vrb.write("Command return status: {}".format(status3))
if status3.upper() != 'M2M2_DCB_STATUS_OK':
return 1
if pkt_cnt >= 4:
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
self.vrb.write("Sending ADPD4000 DCB packet 4 of size:{}".format(msg4.payload.size))
#time.sleep(0.04)
self._send_packet(msg4)
reply_msg4 = self._get_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t(), 20)
if reply_msg4 == None:
self.vrb.err("Error! Timed out waiting for the device, with 4th pkt receive!")
return 1
status4 = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, reply_msg4.payload.status)
if status4 == None:
status4 = format(reply_msg4.payload.status, '#04x')
self.vrb.write("Size : {:02}".format(int(msg4.payload.size)))
self.vrb.write("Command return status: {}".format(status4))
if status4.upper() == 'M2M2_DCB_STATUS_OK':
return 1
return 0
def do_delete_dcb_config(self,arg):
"""
Send a command to Delete the DCB Configurations of the specific sensor of the Board.
Currently dcb configurations is supported for adpd4000, adxl, ppg, ecg, eda, lt_dcb_config, ad7156, lt_app_lcfg, user0_config.
ex. delete_dcb_config [sensor_name]
#>delete_dcb_config adpd4000
"""
Sensor_Address = None
args = self._parse_args(arg,1)
if args == None:
self.vrb.err("Incorrect usage! Please check help.")
return 1
for a in args:
if a in application_name_map:
Sensor_Address = application_name_map[a]["address"]
if Sensor_Address == None:
self.vrb.err("Incorrect usage! You did not provide a valid device.")
return 1
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
msg = m2m2_packet(Sensor_Address, m2m2_pm_sys_cmd_t())
else:
Array_Element = NULL
msg.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_ERASE_CONFIG_REQ
self._send_packet(msg)
if(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_adpd4000_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_temperature_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADXL):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_adxl_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ppg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ecg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_eda_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_bia_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_LT_APP):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_gen_blk_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_ad7156_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_lt_app_lcfg_data_t(), 20)
elif(Sensor_Address == M2M2_ADDR_ENUM_t.M2M2_ADDR_USER0_CONFIG_APP):
reply_msg = self._get_packet(Sensor_Address, m2m2_dcb_user0_blk_data_t(), 20)
else:
pass
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return 1
status = self._get_enum_name(M2M2_DCB_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Command return status: {}".format(status))
if status.upper() == 'M2M2_DCB_STATUS_OK':
return 0
else:
return 1
def do_query_dcb_blk_status(self,arg):
"""
Send a command to Query the Status of DCB Block index within the Watch - whether DCB is present / absent.
Currently dcb configurations is supported for adpd4000, adxl, ppg, ecg, eda, lt_dcb_config, ad7156, lt_app_lcfg, user0_config.
All supported DCB Blocks are queried and presented here
ex. query_dcb_blk_status
#>query_dcb_blk_status
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_dcb_cmd_t())
msg.payload.command = M2M2_DCB_COMMAND_ENUM_t.M2M2_DCB_COMMAND_QUERY_STATUS_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_dcb_block_status_t(), 20)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Command return status: {}".format(status))
self.vrb.write("-------------------------------------")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_GENERAL_BLOCK_IDX]:
self.vrb.write("ADI_DCB_GENERAL_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_GENERAL_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_ADPD4000_BLOCK_IDX]:
self.vrb.write("ADI_DCB_ADPD4000_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_ADPD4000_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_ADXL362_BLOCK_IDX]:
self.vrb.write("ADI_DCB_ADXL362_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_ADXL362_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_PPG_BLOCK_IDX]:
self.vrb.write("ADI_DCB_PPG_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_PPG_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_ECG_BLOCK_IDX]:
self.vrb.write("ADI_DCB_ECG_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_ECG_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_EDA_BLOCK_IDX]:
self.vrb.write("ADI_DCB_EDA_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_EDA_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_AD7156_BLOCK_IDX]:
self.vrb.write("ADI_DCB_AD7156_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_AD7156_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_LT_APP_LCFG_BLOCK_IDX]:
self.vrb.write("ADI_DCB_LT_APP_LCFG_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_LT_APP_LCFG_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_USER0_BLOCK_IDX]:
self.vrb.write("ADI_DCB_USER0_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_USER0_BLOCK_IDX Absent")
if reply_msg.payload.dcb_blk_array[M2M2_DCB_CONFIG_BLOCK_INDEX_t.ADI_DCB_TEMPERATURE_BLOCK_IDX]:
self.vrb.write("ADI_DCB_TEMPERATURE_BLOCK_IDX Present")
else:
self.vrb.write("ADI_DCB_TEMPERATURE_BLOCK_IDX Absent")
self.vrb.write("-------------------------------------")
def do_getTimeOffset(self, arg):
"""
Send a command to get the time offset from the Board
#>getTimeOffset
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_GET_DATE_TIME_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_date_time_req_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
"""Convert the Read Time from the board to seconds"""
sHr = int(int(reply_msg.payload.hour - int(12)) * int(3600))
sMin = int(reply_msg.payload.minute * int(60))
sSec = int(reply_msg.payload.second)
TosSec = int(sHr) + int(sMin) + int(sSec)
"""Convert the Time of PC to seconds"""
Get_Time_now = datetime.datetime.now()
nHr = int(int(Get_Time_now.hour - int(12)) * int(3600))
nMin = int(Get_Time_now.minute * int(60))
nSec = int(Get_Time_now.second)
TonSec = int(nHr) + int(nMin) + int(nSec)
"""Calculate the Offset Value"""
ToOffValue = int(TonSec) - int(TosSec)
if ToOffValue > int(3599):
ToOffvalue_Dec = float(float(ToOffValue) / float(60)) / float(60)
ToOffvalueHr = int(ToOffvalue_Dec)
ToOffvalueMin = int((ToOffvalue_Dec - int(ToOffvalueHr)) * int(60))
ToOffvalueSec = ((float(ToOffvalue_Dec - int(ToOffvalueHr)) * float(60)) - int(ToOffvalueMin)) * int(60)
self.vrb.write("OFFSET Raw Value: {}".format((int(ToOffValue))))
self.vrb.write("OFFSET Value: {:02}:{:02}:{:02}".format((int(ToOffvalueHr)),(int(ToOffvalueMin)), (int(ToOffvalueSec))))
else:
ToOffvalue_Dec = float(float(ToOffValue) / float(60))
ToOffvalueMin = int(ToOffvalue_Dec)
ToOffvalueSec = int((ToOffvalue_Dec - int(ToOffvalueMin)) * int(60))
self.vrb.write("OFFSET Raw Value: {}".format((int(ToOffValue))))
self.vrb.write("OFFSET Value: 00:{:02}:{:02}".format((int(ToOffvalueMin)),(int(ToOffvalueSec))))
def do_toggleSaveCSV(self,arg):
"""
Enable or disable save as CSV file option while plotting ADXL/ADPD4000/PPG streams
"""
global enable_csv_logs
enable_csv_logs ^= 1
print "Save CSV logs option set to '{}'".format(enable_csv_logs)
@cli_logger
def do_controlECGElectrodeSwitch(self, arg):
"""
Control(enable/disable) the switches between ECG electrodes and adpd4k/ad5940/ad8233.
The argument is 'sw_name':
either of '8233_sw'/'5940_sw'/'4k_sw'
'sw_enable':
'1' to turn ON Switch
'0' to turn OFF Switch.
-----------------------------------------------
Usage:
#>controlECGElectrodeSwitch [sw_name] [sw_enable]
#>controlECGElectrodeSwitch 8233_sw 1
#>controlECGElectrodeSwitch 5940_sw 0
#>controlECGElectrodeSwitch 4k_sw 1
"""
args = self._parse_args(arg, 2)
if args == None:
print("Invalid arguments! please type help <command>(help controlECGElectrodeSwitch) to know the usage.")
return
sw_name = None
sw_enable = None
if "8233_sw" in args[0]:
sw_name = 0
elif "5940_sw" in args[0]:
sw_name = 1
elif "4k_sw" in args[0]:
sw_name = 2
else:
print("Invalid arguments! please type help <command>(help controlECGElectrodeSwitch) to know the usage.")
return
if "1" in args[1]:
sw_enable = 1
elif "0" in args[1]:
sw_enable = 0
else:
print("Invalid arguments! please type help <command>(help controlECGElectrodeSwitch) to know the usage.")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_dg2502_sw_ctrl_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_DG2502_SW_CNTRL_REQ
msg.payload.sw_enable = sw_enable
msg.payload.sw_name = sw_name
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_dg2502_sw_ctrl_cmd_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Switch Control Failed!")
def do_LDOControl(self, arg):
"""
Control the enabling / disabling of the LDO. The argument is the ldo_num:
'1' for FS LDO
'2' for Optical LDO
'3' for EPHYZ LDO
ldo_ctrl:
'0' for disable
'1' for enable
-----------------------------------------------
Usage:
#>LDOControl [ldo_num] [ldo_ctrl]
#>LDOControl 3 1
#>LDOControl 3 0
"""
args = self._parse_args(arg, 2)
if args == None:
self.vrb.write("No ldo number, ldo control specified, check help and retry")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_ldo_ctrl_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_LDO_CNTRL_REQ
msg.payload.ldo_num = int(args[0])
msg.payload.ldo_enable = int(args[1])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_ldo_ctrl_cmd_t(), 10)
if reply_msg != None:
status = reply_msg.payload.status
if status != M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK:
print "Putting LDO into the desired state failed!"
else:
print "Putting LDO into the desired state.. Status: '{}'".format(status)
else:
print "Putting LDO into the desired state failed! Please check the arguments"
def do_getChipID(self, arg):
"""
Get the chip ID from a chip. The argument is the chip name:
'1' for ADXL362 Part ID
'2' for ADPD4K Chip ID
'3' for ADP5360 Device ID
'4' for AD5940 Chip ID
'5' for NAND Flash Device ID
'6' for AD7156 Chip ID
-----------------------------------------------
Usage:
#>getChipID [chip_name]
#>getChipID 1
"""
err_stat = 0
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No chip name specified, check help and retry")
return 1, None
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_chip_id_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_CHIP_ID_REQ
msg.payload.chip_name = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_chip_id_cmd_t(), 10)
chip_id = None
if reply_msg != None:
status = reply_msg.payload.status
if status != M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK:
print "Getting chip ID failed!"
err_stat = 1
else:
if msg.payload.chip_name == 1:
chip_name = "ADXL362"
elif msg.payload.chip_name == 2:
chip_name = "ADPD4K"
elif msg.payload.chip_name == 3:
chip_name = "ADP5360"
elif msg.payload.chip_name == 4:
chip_name = "AD5940"
elif msg.payload.chip_name == 5:
chip_name = "Nand Flash"
elif msg.payload.chip_name == 6:
chip_name = "AD7156"
print "Fetched chip ID:{} for {}".format(hex(reply_msg.payload.chip_id), chip_name)
chip_id = reply_msg.payload.chip_id
else:
err_stat = 1
print "Getting chip ID failed! Please check the arguments"
return err_stat, chip_id
def do_getBatteryInfo(self, arg):
"""
Get Battery information.
Fetches the device's battery status a given number of times.
-----------------------------------------------
Usage:
#>getBatteryInfo [count]
#>getBatteryInfo 5
"""
args = self._parse_args(arg, 1)
try:
count = int(args[0])
except:
count = 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_GET_BAT_INFO_REQ
for i in range(count):
time.sleep(1)
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_bat_info_resp_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
break
self.vrb.write("Watch Battery information:")
chrg_status = self._get_enum_name(M2M2_PM_SYS_BAT_STATE_ENUM_t, reply_msg.payload.bat_chrg_stat)
if chrg_status != None:
self.vrb.write("Battery Status: '{}'".format(chrg_status))
self.vrb.write("Battery Level: '{}'%".format(int(reply_msg.payload.bat_lvl)))
self.vrb.write("Battery Voltage: '{}'mV".format(int(reply_msg.payload.bat_mv)))
#self.vrb.write("Battery Temp: '{}' C".format(int(reply_msg.payload.bat_temp)))
self.vrb.write("Date and Time : {}".format(datetime.datetime.now().replace(microsecond=0)))
self.vrb.write("---------------------------------------------------------------------")
def help_getBatteryInfo(self):
print
print "Fetches the device's battery status a given number of times."
print "-----------------------------------------------"
print "Usage:"
print " #>getBatteryInfo [count]"
print
print " #>getBatteryInfo 5"
print
def do_setBatteryThreshold(self, arg):
"""
Set Battery Low level and Critical levels in percentage(%).
-----------------------------------------------
Usage:
#>setBatteryThreshold [low_level critical_level]
#>setBatteryThreshold 15 10
"""
args = self._parse_args(arg, 2)
if args == None:
return
try:
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_bat_thr_req_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_SET_BAT_THR_REQ
msg.payload.bat_level_low = int(args[0])
msg.payload.bat_level_critical = int(args[1])
except ValueError:
self.vrb.err("Error! Invalid argument!")
return
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t(), 10)
if reply_msg == None:
self.vrb.err("Error! Timed out waiting for the device!")
return
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("status: {}".format(status))
'''def do_setBatteryCharging(self, arg):
"""
Enable or Disable battery charging. The argument is the option:
'1' for Enable
'0' for Disable
-----------------------------------------------
Usage:
#>setBatteryCharging [option]
#>setBatteryCharging 1
#>setBatteryCharging 0
"""
args = self._parse_args(arg, 1)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t())
opt = args[0]
if "1" in opt :
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_ENABLE_BAT_CHARGE_REQ
elif "0" in opt:
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_DISABLE_BAT_CHARGE_REQ
else:
self.vrb.err("Invalid arguments")
self.help_BatteryCharging()
return
self._send_packet(msg)
resp = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t(), 10)
if resp == None:
self.vrb.err("Timed out waiting for a response from the device!")
return
self._print_packet_status(resp)'''
def do_setPowerMode(self, arg):
"""
Set the device into a desired power state. The argument is the state:
'0' for active mode
'2' for hibernate mode - same as Power off from Watch display page.
'3' for shutdown mode/shipment mode - same as the Shipment Mode from Watch display page.
To see it in action, Watch needs to be removed from a USB connection.
Only then it will enter shipment mode. To bring the Watch up, you need to plug in the USB cable.
-----------------------------------------------
Usage:
#>SetPowerMode [state]
#>setPowerMode 2
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No state specified, putting the device in shutdown mode", 2)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_pwr_state_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_SET_PWR_STATE_REQ
if args == None:
msg.payload.state = 0
else:
msg.payload.state = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_pwr_state_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_PM_SYS_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Put device into the state:", 2)
self.vrb.write(" Device: '{}'".format(int(reply_msg.payload.state)), 2)
self.vrb.write(" Status: '{}'".format(status), 2)
else:
self.vrb.err("Putting device into the desired state failed!")
def do_setDisplayColour(self, arg):
"""
Set LCD Display Colour to all white, R, G, B and black, to check whether there is dead pixel. The argument is the disp_colour:
'0' for White
'1' for Black
'2' for Red
'3' for Green
'4' for Blue
-----------------------------------------------
Usage:
#>setDisplayColour [disp_colour]
#>setDisplayColour 0
#>setDisplayColour 4
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No disp_colour specified, check help and retry")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_display_set_command_t())
msg.payload.command = M2M2_DISPLAY_APP_CMD_ENUM_t.M2M2_DISPLAY_APP_CMD_SET_DISPLAY_REQ
msg.payload.colour = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_display_set_command_t(), 10)
if reply_msg != None:
status = reply_msg.payload.status
if status != 0:
print "Putting Display into the desired colour failed!"
else:
print "Putting Display into the desired colour.. Status: '{}'".format(status)
else:
print "Putting Display into the desired colour failed! Please check the arguments"
def do_loadEdaDcfg(self, arg):
"""
Load the EDA application DCFG.
#>loadEdaDcfg
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, m2m2_app_common_sub_op_t())
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_LOAD_DCFG_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA,m2m2_app_common_sub_op_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self._print_packet_status(reply_msg)
else:
self.vrb.err("Loading EDA device configuration failed!")
def do_EdaDcfgUpdate(self, arg):
"""
Update EDA DCFG register values.
Eg: = EdaDcfgUpdate addr1 value1 addr2 value2 ...
Usage: EdaDcfgUpdate 0x000021D8 0x00000489
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
num_ops >>= 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_DCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i*2]
reg_index = int(tempVal,16)
tempVal = args[i*2+1]
if ("0x") in tempVal:
reg_val = int(tempVal, 16)
elif ("0X") in tempVal:
reg_val = int(tempVal, 16)
else:
reg_val = int(tempVal)
msg.payload.ops[i].field = reg_index
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcfg_op_hdr_t(num_ops), 60)
if reply_msg == None:
status = self._get_enum_name(M2M2_EDA_APP_CMD_ENUM_t, reply_msg.payload.status)
print "Writing EDA App DCFG failed!"
return
self._print_eda_app_dcfg_result(reply_msg)
def do_EdaDcfgRead(self, arg):
"""
Read the EDA DCFG. The argument is the DCFG ID to choose from the eda configuration structure:
---------------------------------------------------------------
|Config Element | Address |
---------------------------------------------------------------
| FIFO Config register | 0x000021D8 |
---------------------------------------------------------------
Eg: = EdaDcfgRead addr1 addr2 ......
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_DCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcfg_op_hdr_t(num_ops), 10)
reg_result_list = []
if reply_msg == None:
err_stat = 1
self.vrb.err("Reading EDA DCFG failed!")
else:
self._print_eda_dcfg_result(reply_msg)
err_stat = 0
for i in range(reply_msg.payload.num_ops):
reg_result_list.append((reg_addr, hex(int(reply_msg.payload.ops[i].value))))
return err_stat, reg_result_list
def _print_eda_app_dcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), hex(packet.payload.ops[i].value)])
t.display()
def do_backlightCntrl(self, arg):
"""
Do backlight control: enable/disable. The argument is the bl_cntrl:
'0' for BL OFF
'1' for BL ON
-----------------------------------------------
Usage:
#>backlightCntrl [bl_cntrl]
#>backlightCntrl 0
#>backlightCntrl 1
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No bl_cntrl specified, check help and retry")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_backlight_cntrl_command_t())
msg.payload.command = M2M2_DISPLAY_APP_CMD_ENUM_t.M2M2_DISPLAY_APP_CMD_BACKLIGHT_CNTRL_REQ
msg.payload.control = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_backlight_cntrl_command_t(), 10)
if reply_msg != None:
status = reply_msg.payload.status
if status != 0:
print "Backlight control for the desired state failed!"
else:
print "Backlight control for the desired state.. Status: '{}'".format(status)
else:
print "Backlight control for the desired state failed! Please check the arguments"
def do_keyPressTest(self, arg):
"""
Do key press test: The argument is the 'duration' of test in secs.
After the test key presses of application will be unusable.
system_Reset needs to be given after the test
-----------------------------------------------
Usage:
#>keyPressTest [duration]
#>keyPressTest 5
#>keyPressTest 10
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No duration specified, check help and retry")
return
#Start the Test
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_key_test_command_t())
msg.payload.command = M2M2_DISPLAY_APP_CMD_ENUM_t.M2M2_DISPLAY_APP_CMD_KEY_TEST_REQ
msg.payload.enable = 1
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_key_test_command_t(), 10)
if reply_msg != None:
if reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK and reply_msg.payload.command == M2M2_DISPLAY_APP_CMD_ENUM_t.M2M2_DISPLAY_APP_CMD_KEY_TEST_RESP:
print "Key press test enabled.. Status: '{}'".format(reply_msg.payload.status)
else:
print "Key Press test start failed!..Status: '{}'".format(reply_msg.payload.status)
else:
print "Key press start test failed! No response received"
return
#Get key stream Data
duration = int(args[0])
start_time = time.time()
while True:
# loop body here
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_pm_sys_key_test_data_t(), 1)
if reply_msg != None:
if reply_msg.payload.command == M2M2_DISPLAY_APP_CMD_ENUM_t.M2M2_DISPLAY_APP_CMD_KEY_STREAM_DATA:
print "Received key code: {}".format(reply_msg.payload.key_value)
end_time = time.time()
if end_time-start_time > duration:
break
# end of loop
#End the Test
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_key_test_command_t())
msg.payload.command = M2M2_DISPLAY_APP_CMD_ENUM_t.M2M2_DISPLAY_APP_CMD_KEY_TEST_REQ
msg.payload.enable = 0
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_DISPLAY, m2m2_key_test_command_t(), 10)
if reply_msg != None:
if reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK and reply_msg.payload.command == M2M2_DISPLAY_APP_CMD_ENUM_t.M2M2_DISPLAY_APP_CMD_KEY_TEST_RESP:
print "Key press test disabled.. Status: '{}'".format(reply_msg.payload.status)
else:
print "Key Press end failed!..Status: '{}'".format(reply_msg.payload.status)
else:
print "Key press end-test failed! No response received"
def do_capSenseTest(self, arg):
"""
Do Cap sense AD7156 test: The argument is the 'duration' of test in secs.
-----------------------------------------------
Usage:
#>capSenseTest [duration]
#>capSenseTest 5
#>capSenseTest 10
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("No duration specified, check help and retry")
return
#start the test
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cap_sense_test_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_CAP_SENSE_TEST_REQ
msg.payload.enable = 1
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cap_sense_test_cmd_t(), 20)
if reply_msg != None:
if reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK and reply_msg.payload.command == M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_CAP_SENSE_TEST_RESP:
print "Cap Sense test Enabled.. Status: '{}'".format(reply_msg.payload.status)
else:
print "Cap sense test start failed!.. Status: '{}'".format(reply_msg.payload.status)
else:
print "Cap Sense start test failed! No response received"
return
#Get touch stream data
duration = int(args[0])
start_time = time.time()
while True:
# loop body here
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cap_sense_test_data_t(), 1)
if reply_msg != None:
if reply_msg.payload.command == M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_CAP_SENSE_STREAM_DATA:
print "Received touch position: {}".format(reply_msg.payload.touch_position)
print "Received touch value: {}".format(reply_msg.payload.touch_value)
end_time = time.time()
if end_time-start_time > duration:
break
# end of loop
#End the test
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cap_sense_test_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_CAP_SENSE_TEST_REQ
msg.payload.enable = 0
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cap_sense_test_cmd_t(), 20)
if reply_msg != None:
if reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK and reply_msg.payload.command == M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_CAP_SENSE_TEST_RESP:
print "Cap Sense test Disabled.. Status: '{}'".format(reply_msg.payload.status)
else:
print "Cap sense test end failed!.. Status: '{}'".format(reply_msg.payload.status)
else:
print "Cap Sense end test failed! No response received"
return
def do_enterBootLoader(self, arg):
"""
Give the command to enter bootloader
-----------------------------------------------
Usage:
#>enterBootLoader
"""
args = self._parse_args(arg, 0)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_enter_bloader_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_ENTER_BOOTLOADER_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_enter_bloader_cmd_t(), 10)
if reply_msg != None:
status = reply_msg.payload.status
if status != 0:
print "Bootloader entry failed"
else:
print "Bootloader entry passed! Status: '{}'".format(status)
else:
print "Bootloader entry failed!"
def do_usb_DFU(self, arg):
"""
Give the command to start USB DFU on com port of Watch in bootloader mode.
Pre-requisite command to be executed is: #>enterBootLoader
The following command is executed:
nrfutil dfu usb-serial -pkg ADI_project.zip -p COM7
based on argument passed for Debug or Release mode package
The argument proj_config is:
Release: for copying Watch app zip package from Release folder
Debug: for copying Waych app zip package from Debug folder
-----------------------------------------------
Usage:
#>usb_DFU [comport_no} [proj_config]
"""
args = self._parse_args(arg, 2)
if args == None:
self.vrb.write("No arguments specified, check help and retry")
return
print "Timestamp of hex package is \n"
cmd = "dir /T:W /A:-D ..\\..\\..\\app\\nRF52840_app\\ses\\Output\\"+args[1]
cmd = cmd + "\\Exe\\watchv4_nrf52840.hex"
os.system(cmd)
print "Copying the Watch hex file from {} app directory..".format(args[1])
cmd = "copy ..\\..\\..\\app\\nRF52840_app\\ses\\Output\\"+args[1]
cmd = cmd + "\\Exe\\watchv4_nrf52840.hex .\\ADI_project.hex"
print "Executing command {}".format(cmd)
os.system(cmd)
print "\nPreparing the zip package for USB DFU.."
cmd = "nrfutil pkg generate --hw-version 52 --sd-req 0xAE --application-version 0xff --application ADI_project.hex --key-file ..\\..\\..\\bootloader\\boot_zip\\private.pem ADI_project.zip"
os.system(cmd)
print "\nStarting USB DFU.."
cmd = "nrfutil dfu usb-serial -pkg ADI_project.zip -p "+args[0]
os.system(cmd)
def do_fs_get_bad_blocks(self, arg):
"""
Command to get no: of bad blocks from NAND Flash.
#>fs_getBadBlock
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_get_bad_blocks_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_BAD_BLOCKS_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_get_bad_blocks_cmd_t(), 10)
if reply_msg != None:
if reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK:
self.vrb.write("No: of bad blocks: {}".format(reply_msg.payload.bad_blocks))
else:
self.vrb.write("Error returned in getting Bad blocks from NAND FLash")
else:
self.vrb.err("No response from device.")
def do_delete_config_file(self, arg):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
msg = m2m2_packet(address, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_DELETE_CONFIG_FILE_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 120)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_Enable_Config_logs(self, args):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_pm_sys_cmd_t())
if "start" in args:
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_ENABLE_USER_CONFIG_LOG_REQ
elif "stop" in args:
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_DISABLE_USER_CONFIG_LOG_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t(), 120)
if reply_msg != None:
self._print_low_touch_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_get_low_touch_status(self, args):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PS_SYS_COMMAND_GET_LOW_TOUCH_LOGGING_STATUS_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t(), 120)
if reply_msg != None:
self._print_low_touch_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_pm_activate_touch_sensor(self, args):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_ACTIVATE_TOUCH_SENSOR_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t(), 120)
if reply_msg != None:
self._print_low_touch_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_pm_deactivate_touch_sensor(self, args):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_pm_sys_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_DEACTIVATE_TOUCH_SENSOR_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_pm_sys_cmd_t(), 120)
if reply_msg != None:
self._print_low_touch_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_create_gen_blk_dcb(self, arg):
global lowtouch
args = self._parse_args(arg, 1)
if args == None:
return
if "start" in args:
lowtouch.Enable_lowtouch = True
elif "stop" in args:
lowtouch.Enable_lowtouch = False
lowtouch = LowTouch()
def do_gen_blk_dcb_file_create(self, arg):
"""
Create the file with m2m2 commands that will be written into the gen block DCB.
This command is to be preceded by 'create_gen_blk_dcb start' and succeeded by 'create_gen_blk_dcb stop'.
#>gen_blk_dcb_file_create
"""
args = self._parse_args(arg, 1)
if args == None:
return
configmsg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_user_cfg_summary_pkt_t())
if "write" in args:
if lowtouch.Enable_lowtouch == True and lowtouch.User_File!='':
print("\n ############### GEN_BLK_DCB_CONFIG FILE INFO #############\n")
self.vrb.write(" Header Info length : '{}'".format(len(configmsg.pack())))
self.vrb.write(" Start command length: '{}'".format(lowtouch.Startcmdlen))
self.vrb.write(" Start command count : '{}'".format( lowtouch.Startcmdcount))
self.vrb.write(" Stop command length : '{}'".format(lowtouch.Stopcmdlen))
self.vrb.write(" Stop command count : '{}'".format(lowtouch.Stopcmdcount))
lowtouch.Enable_lowtouch = False
configmsg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LOG_USER_CONFIG_DATA_RESP
configmsg.payload.start_cmd_len = lowtouch.Startcmdlen
configmsg.payload.start_cmd_cnt = lowtouch.Startcmdcount
configmsg.payload.stop_cmd_len = lowtouch.Stopcmdlen
configmsg.payload.stop_cmd_cnt = lowtouch.Stopcmdcount
configmsg.payload.crc16 = 0 #T0DO
conmsg = configmsg.pack()
lowtouch.User_File = conmsg + lowtouch.User_File
#check if total bytes in User_File is WORD aligned. If not make it. So that DCB contains data which is WORD aligned
if (len(lowtouch.User_File)) % 4 != 0:
for i in range((4 - (len(lowtouch.User_File) % 4) )):
lowtouch.User_File += "\0" #putting it as NULL
#check if total no: of bytes in DCB file will be less than MAXGENBLKDCBSIZE*4*18, if its exceeding don't create the file
if ( len(lowtouch.User_File) > (MAXGENBLKDCBSIZE*4*18) ):
print(" ########## GEN_BLK_DCB_CONFIG.LOG can't be created ##############");
print(" ########## File size exceeding MAXGENBLKDCBSIZE*4*4 bytes ##############");
print(" ########## Recheck the start-stop commands included ##############");
print(" ########## in gen_blk_dcb_file_create_test and Retry ##############");
return
try:
Fileobjw = open(lowtouch.DCB_File_name, "wb")
Fileobjw.write(lowtouch.User_File)
Fileobjw.close()
print("Copying and replacing file to dcb_cfg folder as gen_blk_dcb.lcfg")
print("File size: ")
print(len(lowtouch.User_File))
cmd = "copy GEN_BLK_DCB_CONFIG.LOG .\\dcb_cfg\gen_blk_dcb.lcfg"
os.system(cmd)
except:
print("ERROR: 'GEN_BLK_DCB_CONFIG.LOG' File write failed")
return
else:
print("Create gen blk DCB config file with 'create_gen_blk_dcb start' command")
elif "read" in args:
try:
Fileobj = open(lowtouch.DCB_File_name, "rb")
except:
print("ERROR: 'GEN_BLK_DCB_CONFIG.LOG' File not found")
return
chunk_len = 4104 #57*4*18
bytes_read = 0
if Fileobj != None:
while True:
config_buffer = Fileobj.read(chunk_len)
if not config_buffer:
break
temp_array = list(bytearray(config_buffer))
for index in range(len(config_buffer)):
print "{}".format(hex(temp_array[index]))
if (index+1)%4 == 0:
print('\n')
bytes_read = bytes_read + len(config_buffer)
else:
print("Create gen blk DCB config file with 'create_gen_blk_dcb start' command")
def do_loadAd7156Cfg(self, arg):
"""
Load the AD7156 device configuration.
#>loadAd7156Cfg
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156, m2m2_sensor_ad7156_resp_t())
msg.payload.command = M2M2_SENSOR_AD7156_COMMAND_ENUM_t.M2M2_SENSOR_AD7156_COMMAND_LOAD_CFG_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_AD7156, m2m2_sensor_ad7156_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write("Loaded ad7156 device configuration")
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Loading Ad7156 device configuration failed!")
def do_fs_config_log(self, arg):
global lowtouch
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
args = self._parse_args(arg, 1)
if args == None:
return
msg = m2m2_packet(address, m2m2_file_sys_cmd_t())
if "start" in args:
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_DCFG_START_LOG_REQ
elif "stop" in args:
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_DCFG_STOP_LOG_REQ
else:
self.vrb.err("Incorrect usage!")
return
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 120)
if reply_msg != None:
status = self._get_enum_name(M2M2_FILE_SYS_STATUS_ENUM_t, reply_msg.payload.status)
if status == 'M2M2_FILE_SYS_STATUS_OK' and "start" in args:
lowtouch.Enable_lowtouch = True
elif status == 'M2M2_FILE_SYS_STATUS_OK' and "stop" in args:
lowtouch.Enable_lowtouch = False
lowtouch = LowTouch()
self._print_file_system_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_fs_config_log_file(self, arg):
"""
mount file system. Command help to check if file system is available with proper mount.
#>fs_config_log_file write
"""
args = self._parse_args(arg, 1)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_user_config_data())
configmsg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_user_cfg_summary_pkt_t())
if "write" in args:
if lowtouch.Enable_lowtouch == True and lowtouch.User_File!='':
print("\n ############### CONFIG FILE INFO #############\n")
self.vrb.write(" Header Info length : '{}'".format(len(configmsg.pack())))
self.vrb.write(" Start command length: '{}'".format(lowtouch.Startcmdlen))
self.vrb.write(" Start command count : '{}'".format( lowtouch.Startcmdcount))
self.vrb.write(" Stop command length : '{}'".format(lowtouch.Stopcmdlen))
self.vrb.write(" Stop command count : '{}'".format(lowtouch.Stopcmdcount))
lowtouch.Enable_lowtouch = False
configmsg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LOG_USER_CONFIG_DATA_RESP
configmsg.payload.start_cmd_len = lowtouch.Startcmdlen
configmsg.payload.start_cmd_cnt = lowtouch.Startcmdcount
configmsg.payload.stop_cmd_len = lowtouch.Stopcmdlen
configmsg.payload.stop_cmd_cnt = lowtouch.Stopcmdcount
configmsg.payload.crc16 = 0 #T0DO
conmsg = configmsg.pack()
lowtouch.User_File = conmsg + lowtouch.User_File
try:
Fileobjw = open(lowtouch.User_File_name, "wb")
Fileobjw.write(lowtouch.User_File)
Fileobjw.close()
except:
print("ERROR: 'USER_CONFIG.LOG' File write failed")
return
try:
Fileobj = open(lowtouch.User_File_name, "rb")
except:
print("ERROR: 'USER_CONFIG.LOG' File not found")
return
chunk_len = 70
bytes_read = 0
if Fileobj != None:
while True:
config_buffer = Fileobj.read(chunk_len)
if not config_buffer:
break
else:
if ((len(config_buffer)) < chunk_len):
msg.payload.status = M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_END_OF_FILE
else:
msg.payload.status = M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK
temp_array = list(bytearray(config_buffer))
for index in range(len(config_buffer)):
msg.payload.byte_configstream[index] = temp_array[index]
msg.payload.len_configstream = len(config_buffer)
bytes_read = bytes_read + len(config_buffer)
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LOG_USER_CONFIG_DATA_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 500)
if reply_msg!=None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if status != None:
if(status != 'M2M2_APP_COMMON_STATUS_OK'):
print("ERROR: Error in writing the config data!")
self.vrb.write(" Status: '{}'".format(status))
return
elif((status == 'M2M2_APP_COMMON_STATUS_OK') and (len(config_buffer)) < chunk_len ):
self.vrb.write("\n Total bytes written: '{}'".format(bytes_read))
self.vrb.write(" Status: '{}'\n".format(status))
else:
status = self._get_enum_name(M2M2_FILE_SYS_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
break
else:
self.vrb.write(" Device did not respond")
else:
print("Create config file with 'fs_config_log start' command")
def do_fs_format(self, arg):
"""
format file system. Command to format file system.
#>fs_format
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_FORMAT_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 30)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.Mount operation failed.")
def do_fs_block_erase(self, arg):
"""
Command to erase each block.
#>fs_block_erase 1
"""
args = self._parse_args(arg, 1)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_blk_erase_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_BLOCK_ERASE_REQ
msg.payload.block_no = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_blk_erase_cmd_t(), 30)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response block erase failed.")
def do_fs_write_reserved_block_page(self, arg):
"""
Command to write reserved block
#>fs_write_reserved_block_page
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_write_rsd_blk_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_WRITE_RANDOM_DATA_TO_RSD_BLK_REQ
for i in range(20):
msg.payload.data[i] = i
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_write_rsd_blk_cmd_t(), 30)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response write failed.")
def do_fs_req_debug_info(self, arg):
"""
format file system. Command to format file system.
#>fs_req_debug_info
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_debug_impt_info_req_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_IMPT_DEBUG_INFO_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_debug_impt_info_resp_t(), 30)
if reply_msg != None:
self.vrb.write(" CIRCULAR BUFFER HEAD POINTER: {} page no".format(int(reply_msg.payload.head_pointer)))
self.vrb.write(" CIRCULAR BUFFER TAIL POINTER : {} block no".format(int(reply_msg.payload.tail_pointer)))
self.vrb.write(" USB AVG TRANSMIT TIME : {}us".format(int(reply_msg.payload.usb_avg_tx_time)))
self.vrb.write(" USB AVG PORT WRITE TIME : {}us".format(int(reply_msg.payload.usb_avg_port_write_time)))
self.vrb.write(" PAGE READ TIME : {}us".format(int(reply_msg.payload.page_read_time)))
self.vrb.write(" PAGE WRITE TIME : {}us".format(int(reply_msg.payload.page_write_time)))
self.vrb.write(" INIT CIRCULAR BUFFER : {}".format(int(reply_msg.payload.init_circular_buffer_flag)))
self.vrb.write(" MEM FULL FLAG : {}".format(int(reply_msg.payload.mem_full_flag)))
self.vrb.write(" DATA OFFSET : {}".format(int(reply_msg.payload.data_offset)))
self.vrb.write(" CONFIG POS OCCUPIED : {}".format(int(reply_msg.payload.config_file_occupied)))
self.vrb.write(" DISPLAY ONE MINUTE TIMER COUNT: {}".format(int(reply_msg.payload.min_timer_cnt)))
self.vrb.write(" DISPLAY FIVE MINUTE TIMER COUNT : {}".format(int(reply_msg.payload.fs_display_query_cnt)))
self._print_file_system_status(reply_msg)
else:
self.vrb.err("debug info req error failed !")
def do_fs_ls(self, arg):
"""
list files.Command help to view files in the current directory.
#>fs_ls
"""
fs_ls_list = []
err_stat = 0
args = self._parse_args(arg, 0)
if args == None:
return err_stat, fs_ls_list
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_req_t(2))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LS_REQ
msg.payload.dir_path[0] = ord('\x01')
msg.payload.dir_path[1] = ord('\x01')
self._send_packet(msg)
while True:
# loop body here
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_resp_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status != M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK):
self._print_file_system_status(reply_msg)
break
else :
fs_ls_dict = self._print_file_list(reply_msg)
fs_ls_list.append(fs_ls_dict)
else:
err_stat = 1
self.vrb.err("No response from device")
# end of loop
return err_stat, fs_ls_list
def do_fs_vol_info(self, arg):
"""
File system volume info. Command to get file system volume info.
#>fs_vol_info
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_VOL_INFO_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_vol_info_resp_t(), 10)
if reply_msg != None:
self.vrb.write(" FS_TOTAL_MEMORY: '{}'bytes".format(int(reply_msg.payload.totalmemory)))
self.vrb.write(" FS_USED_MEMORY : '{}'bytes".format(int(reply_msg.payload.usedmemory)))
self.vrb.write(" FS_AVAILABLE_MEMORY : '{}%'".format(int(reply_msg.payload.availmemory)))
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.Getting volume info failed.")
def do_fs_mount(self, arg):
"""
mount file system. Command help to check if file system is available with proper mount.
#>fs_mount
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_MOUNT_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 10)
if reply_msg != None:
self._print_packet_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_fs_log(self, arg):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
args = self._parse_args(arg, 1)
if args == None:
return
if "start" in args:
msg = m2m2_packet(address, m2m2_app_common_sub_op_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_START_LOGGING_REQ
elif "stop" in args:
msg = m2m2_packet(address, m2m2_file_sys_stop_log_cmd_t())
msg.payload.stop_type = FILE_STOP_LOGGING_t.M2M2_FILE_SYS_STOP_LOGGING
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_STOP_LOGGING_REQ
else:
self.vrb.err("Incorrect usage!")
return
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
if "start" in args:
reply_msg = self._get_packet(address, m2m2_app_common_sub_op_t(), 20)
elif "stop" in args:
reply_msg = self._get_packet(address, m2m2_file_sys_stop_log_cmd_t(), 20)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_fs_log_append(self, arg):
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(address, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_APPEND_FILE_REQ
msg.payload.status = M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK
self._send_packet(msg)
#pase reply message
reply_msg = self._get_packet(address, m2m2_file_sys_cmd_t(), 50)
if reply_msg ==None:
self.vrb.err("Device did not respond!")
return
if reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_NO_FILE_TO_APPEND:
self.vrb.err("No files to append!")
self._print_file_system_status(reply_msg)
def do_fs_sub(self, arg):
fs_address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
address = None
args = self._parse_args(arg, 2)
if args == None:
return
for a in args:
if a in stream_name_map:
address = stream_name_map[a]["application"]
stream = stream_name_map[a]["stream"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid stream.")
return
msg = m2m2_packet(fs_address, m2m2_file_sys_log_stream_t())
if "r" in args or "remove" in args:
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_STOP_STREAM_REQ
msg.payload.stream = address
elif "a" in args or "add" in args:
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LOG_STREAM_REQ
else:
self.vrb.err("Incorrect usage! You did not provide a valid subscription operation.")
return
msg.payload.stream = stream
self._send_packet(msg)
reply_msg = self._get_packet(fs_address, m2m2_file_sys_log_stream_t(), 10)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device. Subscription/unSubscription operation failed.")
def do_fs_log_test(self, arg):
"""
list files.Command help to view files in the current directory.
#>fs_log_test
"""
args = self._parse_args(arg, 0)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
msg = m2m2_packet(address, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_TEST_LOG_REQ
# msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 120)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response received from device!!")
def do_fs_stream(self, arg):
"""
read contents of file. Command is used to read file by getting data from file streamed as byte array.
#>fs_stream
"""
global fs_file_pagechunk_list
fs_file_pagechunk_list = []
args = self._parse_args(arg, 1)
if args == None:
return
fobj = open(args[0], "wb")
#Counter for CRC16 mismatch
nCRCMisMatchCnt = 0
#Counter for Sequence number mismatch
nSeqMisMatchCnt = 0
#Reference sequence number for comparing received sequence number
nSequenceNumber = 0
nComputedCRC = int(0x0FFFF)
nCRCPolynomial = int(0x1021)
# Read the size of the file
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_req_t(2))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LS_REQ
msg.payload.dir_path[0] = ord('\x01')
msg.payload.dir_path[1] = ord('\x01')
self._send_packet(msg)
while True:
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_resp_t(), 100)
if reply_msg != None:
if reply_msg.payload.status != M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK:
break
elif reply_msg.payload.filetype == FILE_TYPE_ENUM_t.M2M2_FILE_SYS_IS_DATA_FILE:
if (cast(reply_msg.payload.full_file_name, c_char_p).value == args[0]):
total_file_size = reply_msg.payload.filesize
#print("file size = {}".format(total_file_size))
elif reply_msg.payload.filetype == FILE_TYPE_ENUM_t.M2M2_FILE_SYS_IS_CONFIG_FILE:
if cast(reply_msg.payload.full_file_name, c_char_p).value == args[0]:
total_file_size = reply_msg.payload.filesize
else:
self.vrb.err("No response from device")
return
bar = tqdm.tqdm(total=total_file_size, dynamic_ncols=True, ascii=True, unit="B", unit_scale=True)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_get_req_t(len(args[0])))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_DOWNLOAD_LOG_REQ
temp_array = list(bytearray(args[0]))
for index in range(len(args[0])):
msg.payload.file_name[index] = temp_array[index]
start_time = datetime.datetime.now()
self._send_packet(msg)
file_size = 0
while True:
# loop body here
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS_STREAM, m2m2_file_sys_download_log_stream_t(), 1000)
if reply_msg != None:
if reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_ERROR:
self._print_file_system_status(reply_msg)
break
file_size += reply_msg.payload.page_chunk_size
data_length = reply_msg.payload.page_chunk_size + 15
# print"Length received t1 = {}".format(data_length)
# print "page_number = {}".format(reply_msg.payload.page_number)
# print "page_chunk_number = {}".format(reply_msg.payload.page_chunk_number)
# print "page_chunk_size = {}".format(reply_msg.payload.page_chunk_size)
if(reply_msg.payload.page_number < len(fs_file_pagechunk_list)):
fs_file_pagechunk_list[reply_msg.payload.page_number] = reply_msg.payload.page_chunk_number
else:
fs_file_pagechunk_list.insert(reply_msg.payload.page_number,reply_msg.payload.page_chunk_number)
#self._print_file_system_status(reply_msg)
crc16_data_array = buffer(reply_msg.header)[:] + buffer(reply_msg.payload)[:]
for index in range(0,8,2):
crc16_data_array = swap(crc16_data_array,index, index + 1)
nComputedCRC = int(0xFFFF)
for nByte in range(data_length):
nComputedCRC = ((nComputedCRC >> 8) | (nComputedCRC << 8))&0xFFFF
nComputedCRC = nComputedCRC ^ ord(crc16_data_array[nByte])
nComputedCRC ^=(nComputedCRC & 0xFF) >> 4
nComputedCRC ^= ((nComputedCRC << 8) << 4)&0xFFFF
nComputedCRC ^= ((nComputedCRC & 0xFF) << 4) << 1
#'''print"nComputedCRC = {}".format(nComputedCRC)
#print"Length received = {}".format(data_length)
#print"nComputedCRC = {}".format(nComputedCRC)
#print"received crc16 = {}".format(reply_msg.payload.crc16)'''
if((nComputedCRC != reply_msg.payload.crc16)):
nCRCMisMatchCnt += 1
print"received crc16 = {}".format(format_hex(crc16_data_array))
#print"received crc16 = {}".format((crc16_data_array))
#print"Length received t1 = {}".format(data_length)
print"CRC mismatch cnt = {}".format(nCRCMisMatchCnt)
if(nSequenceNumber != reply_msg.header.checksum):
nSeqMisMatchCnt += 1
# Restraining refernce sequence number to 16bit wide
if(nSequenceNumber == 65535):
nSequenceNumber = 0
else:
nSequenceNumber += 1
bar.update(reply_msg.payload.page_chunk_size)
if (reply_msg.payload.page_chunk_size != len(reply_msg.payload.page_chunk_bytes)):
fobj.write(bytearray(reply_msg.payload.page_chunk_bytes[0:int(reply_msg.payload.page_chunk_size)]))
else :
fobj.write(reply_msg.payload.page_chunk_bytes)
else:
bar.close()
self.vrb.err("No response from device.Stream file operation failed.")
break
if (reply_msg.payload.status != M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK):
fobj.close()
bar.close()
break
# end of loop
end_time = datetime.datetime.now()
# print(fs_file_pagechunk_list)
# print(len(fs_file_pagechunk_list))
'''self.vrb.write("\n No. of CRC mismatches = {}".format(nCRCMisMatchCnt))
self.vrb.write("\n No. of Seq mismatches = {}".format(nSeqMisMatchCnt))
self.vrb.write("\nFile read complete!\n Start Time: {}\n End Time: {}\n Elapsed Time: {}\n Total bytes read: {}".format(start_time, end_time, end_time - start_time, file_size))'''
def do_fs_stream_ble(self, arg):
"""
read contents of file. Command is used to read file by getting data from file streamed as byte array.
#>fs_stream_ble
"""
global fs_file_pagechunk_list
fs_file_pagechunk_list = []
args = self._parse_args(arg, 1)
if args == None:
return
fobj = open(args[0], "wb")
#Counter for CRC16 mismatch
nCRCMisMatchCnt = 0
#Counter for Sequence number mismatch
nSeqMisMatchCnt = 0
#Reference sequence number for comparing received sequence number
nSequenceNumber = 0
nComputedCRC = int(0x0FFFF)
nCRCPolynomial = int(0x1021)
# Read the size of the file
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_req_t(2))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LS_REQ
msg.payload.dir_path[0] = ord('\x01')
msg.payload.dir_path[1] = ord('\x01')
self._send_packet(msg)
while True:
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_resp_t(), 100)
if reply_msg != None:
if reply_msg.payload.status != M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK:
break
elif reply_msg.payload.filetype == FILE_TYPE_ENUM_t.M2M2_FILE_SYS_IS_DATA_FILE:
if (cast(reply_msg.payload.full_file_name, c_char_p).value == args[0]):
total_file_size = reply_msg.payload.filesize
#print("file size = {}".format(total_file_size))
elif reply_msg.payload.filetype == FILE_TYPE_ENUM_t.M2M2_FILE_SYS_IS_CONFIG_FILE:
if cast(reply_msg.payload.full_file_name, c_char_p).value == args[0]:
total_file_size = reply_msg.payload.filesize
else:
self.vrb.err("No response from device")
return
bar = tqdm.tqdm(total=total_file_size, dynamic_ncols=True, ascii=True, unit="B", unit_scale=True)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_get_req_t(len(args[0])))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_DOWNLOAD_LOG_BLE_REQ
temp_array = list(bytearray(args[0]))
for index in range(len(args[0])):
msg.payload.file_name[index] = temp_array[index]
start_time = datetime.datetime.now()
self._send_packet(msg)
file_size = 0
while True:
# loop body here
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS_STREAM, m2m2_file_sys_download_log_ble_stream_t(), 1000)
if reply_msg != None:
if reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_ERROR:
self._print_file_system_status(reply_msg)
break
file_size += reply_msg.payload.page_chunk_size
data_length = reply_msg.payload.page_chunk_size + 15
#print"Length received t1 = {}".format(data_length)
# print "page_number = {}".format(reply_msg.payload.page_number)
# print "page_chunk_number = {}".format(reply_msg.payload.page_chunk_number)
# print "page_chunk_size = {}".format(reply_msg.payload.page_chunk_size)
if(reply_msg.payload.page_number < len(fs_file_pagechunk_list)):
fs_file_pagechunk_list[reply_msg.payload.page_number] = reply_msg.payload.page_chunk_number
else:
fs_file_pagechunk_list.insert(reply_msg.payload.page_number, reply_msg.payload.page_chunk_number)
#self._print_file_system_status(reply_msg)
crc16_data_array = buffer(reply_msg.header)[:] + buffer(reply_msg.payload)[:]
for index in range(0,8,2):
crc16_data_array = swap(crc16_data_array,index, index + 1)
nComputedCRC = int(0xFFFF)
for nByte in range(data_length):
nComputedCRC = ((nComputedCRC >> 8) | (nComputedCRC << 8))&0xFFFF
nComputedCRC = nComputedCRC ^ ord(crc16_data_array[nByte])
nComputedCRC ^=(nComputedCRC & 0xFF) >> 4
nComputedCRC ^= ((nComputedCRC << 8) << 4)&0xFFFF
nComputedCRC ^= ((nComputedCRC & 0xFF) << 4) << 1
#'''print"nComputedCRC = {}".format(nComputedCRC)
#print"Length received = {}".format(data_length)
#print"nComputedCRC = {}".format(nComputedCRC)
#print"received crc16 = {}".format(reply_msg.payload.crc16)'''
if((nComputedCRC != reply_msg.payload.crc16)):
nCRCMisMatchCnt += 1
print"received crc16 = {}".format(format_hex(crc16_data_array))
#print"received crc16 = {}".format((crc16_data_array))
#print"Length received t1 = {}".format(data_length)
print"CRC mismatch cnt = {}".format(nCRCMisMatchCnt)
if(nSequenceNumber != reply_msg.header.checksum):
nSeqMisMatchCnt += 1
# Restraining refernce sequence number to 16bit wide
if(nSequenceNumber == 65535):
nSequenceNumber = 0
else:
nSequenceNumber += 1
bar.update(reply_msg.payload.page_chunk_size)
if (reply_msg.payload.page_chunk_size != len(reply_msg.payload.page_chunk_bytes)):
fobj.write(bytearray(reply_msg.payload.page_chunk_bytes[0:int(reply_msg.payload.page_chunk_size)]))
else :
fobj.write(reply_msg.payload.page_chunk_bytes)
else:
bar.close()
self.vrb.err("No response from device.Stream file operation failed.")
break
if (reply_msg.payload.status != M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK):
fobj.close()
bar.close()
break
# end of loop
end_time = datetime.datetime.now()
# print(fs_file_pagechunk_list)
# print(len(fs_file_pagechunk_list))
'''self.vrb.write("\n No. of CRC mismatches = {}".format(nCRCMisMatchCnt))
self.vrb.write("\n No. of Seq mismatches = {}".format(nSeqMisMatchCnt))
self.vrb.write("\nFile read complete!\n Start Time: {}\n End Time: {}\n Elapsed Time: {}\n Total bytes read: {}".format(start_time, end_time, end_time - start_time, file_size))'''
def do_fs_chunk_retransfer_test(self,arg):
global fs_file_pagechunk_list
args = self._parse_args(arg, 1)
if args == None:
return
if (get_cli_addr() == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI):
self.onecmd("fs_stream "+args[0]);
else:
self.onecmd("fs_stream_ble " + args[0]);
print(fs_file_pagechunk_list)
for page_num in range(len(fs_file_pagechunk_list)):
print "page_number = {}".format(page_num)
for page_chunk_num in range(fs_file_pagechunk_list[page_num] + 1):
Retransmit_type = 0
Page_Roll_over = int(page_num/65536)
Page_number = page_num - (Page_Roll_over * 65536)
Page_chunk_number = page_chunk_num
filename, ext = args[0].split('.')
temp_array = list(bytearray(args[0]))
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_page_chunk_retransmit_req_t(len(args[0])))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_CHUNK_RETRANSMIT_REQ
msg.payload.retransmit_type = Retransmit_type
msg.payload.page_roll_over = Page_Roll_over
msg.payload.page_number = Page_number
msg.payload.page_chunk_number = Page_chunk_number
for index in range(len(args[0])):
msg.payload.file_name[index] = temp_array[index]
self._send_packet(msg)
nComputedCRC = int(0x0FFFF)
nCRCPolynomial = int(0x1021)
nCRCMisMatchCnt = 0
# loop body here
if (get_cli_addr() == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI):
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_download_log_stream_t(), 1000)
else:
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_download_log_ble_stream_t(), 1000)
if reply_msg != None:
# print"Status:{}".format(reply_msg.payload.status)
# print"page_number = {}".format(reply_msg.payload.page_number)
# print"page_chunk_number = {}".format(reply_msg.payload.page_chunk_number)
# print"page_chunk_size = {}".format(reply_msg.payload.page_chunk_size)
if ((reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK) or (
reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_END_OF_FILE)):
fobj = open(filename + '_chunk_retransfer.LOG', "ab")
data_length = reply_msg.payload.page_chunk_size + 15
# print"Length received t1 = {}".format(data_length)
crc16_data_array = buffer(reply_msg.header)[:] + buffer(reply_msg.payload)[:]
for index in range(0, 8, 2):
crc16_data_array = swap(crc16_data_array, index, index + 1)
nComputedCRC = int(0xFFFF)
for nByte in range(data_length):
nComputedCRC = ((nComputedCRC >> 8) | (nComputedCRC << 8)) & 0xFFFF
nComputedCRC = nComputedCRC ^ ord(crc16_data_array[nByte])
nComputedCRC ^= (nComputedCRC & 0xFF) >> 4
nComputedCRC ^= ((nComputedCRC << 8) << 4) & 0xFFFF
nComputedCRC ^= ((nComputedCRC & 0xFF) << 4) << 1
# '''print"nComputedCRC = {}".format(nComputedCRC)
# print"Length received = {}".format(data_length)'''
# print"nComputedCRC = {}".format(nComputedCRC)
# print"received crc16 = {}".format(reply_msg.payload.crc16)
if ((nComputedCRC != reply_msg.payload.crc16)):
nCRCMisMatchCnt += 1
# print"CRC mismatch {}".format(nCRCMisMatchCnt)
# print"received crc16 = {}".format(format_hex(crc16_data_array))
# print"received crc16 = {}".format((crc16_data_array))
# print"Length received t1 = {}".format(data_length)
# print"CRC mismatch cnt = {}".format(nCRCMisMatchCnt)
# Restraining refernce sequence number to 16bit wide
if (reply_msg.payload.page_chunk_size != len(reply_msg.payload.page_chunk_bytes)):
fobj.write(bytearray(reply_msg.payload.page_chunk_bytes[0:int(reply_msg.payload.page_chunk_size)]))
else:
fobj.write(reply_msg.payload.page_chunk_bytes)
print"chunk stream obtained successfully"
self._print_file_system_status(reply_msg)
fobj.close()
else:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.Stream file operation failed.")
def do_get_file_cnt(self, arg):
"""
list files.Command help to view files in the current directory.
#>file_cnt
"""
args = self._parse_args(arg, 0)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
msg = m2m2_packet(address, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_NUMBER_OF_FILE_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_get_file_count_pkt_t(), 120)
if reply_msg != None:
self._print_file_count_status(reply_msg)
else:
self.vrb.err("The device did not respond!")
def do_get_file_info(self, arg):
"""
This is a test command, used to read file information from TOC.
It is used for debugging any issues with file information storage page
#>gets the information about the file present in the given page of TOC
Usage: get_file_info arg1
arg1 -> File index whose file Information has to be displayed
"""
args = self._parse_args(arg, 1)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
msg = m2m2_packet(address, m2m2_file_sys_get_file_info_req_pkt_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_FILE_INFO_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
msg.payload.file_index = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_get_file_info_resp_pkt_t(), 120)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK):
self._print_file_info_status(reply_msg)
else:
self.vrb.err("Error occured while reading the file with given index")
else:
self.vrb.err("The device did not respond!")
page_read_fail_cnt = 0
def do_page_read_test(self, arg):
"""
###!!! Under test !!!###
This is a test command, used for testing by reading the given page
It is used for debugging any issues while reading any page from the NAND flash
#>checks if there are any errors during reading of a given page
Usage: page_read_test arg1 arg2 arg3
arg1 -> page number to be read
arg2 -> 1 ( enables bytes read from page)/0 (disables bytes read from page)
arg3 -> Number of bytes to read from page, its between 0-4096
"""
global page_read_fail_cnt
args = self._parse_args(arg, 3)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
msg = m2m2_packet(address, m2m2_file_sys_page_read_test_req_pkt_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_PAGE_READ_TEST_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
msg.payload.page_num = int(args[0])
msg.payload.num_bytes = int(args[2])
if(args[1] != None):
print_en = int(args[1])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_page_read_test_resp_pkt_t(), 120)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK):
self._print_page_read_test_status(reply_msg,print_en)
else:
page_read_fail_cnt += 1
self.vrb.err("Error occured while reading the page with given number")
else:
self.vrb.err("The device did not respond!")
def do_file_read_test(self, arg):
"""
This is a test command, to display contents of particular file information
Usage: file_read_test arg1
arg1 -> Name of file whose contents has to be displayed
"""
global page_read_fail_cnt
args = self._parse_args(arg, 1)
if args == None:
return
file_found = 0
file_pos = 0
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_req_t(2))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_LS_REQ
msg.payload.dir_path[0] = ord('\x01')
msg.payload.dir_path[1] = ord('\x01')
self._send_packet(msg)
while True:
# loop body here
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_ls_resp_t(), 120)
if reply_msg != None:
if (reply_msg.payload.status != M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK):
self._print_file_system_status(reply_msg)
if(file_found == 0):
self.vrb.write(" File Not Found ")
return
else:
break
else :
if(file_found == 0):
file_pos += 1
if(cast(reply_msg.payload.full_file_name, c_char_p).value == args[0]):
file_found = 1
else:
self.vrb.err("No response from device")
# end of loop
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
msg = m2m2_packet(address, m2m2_file_sys_get_file_info_req_pkt_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_FILE_INFO_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
msg.payload.file_index = file_pos
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_get_file_info_resp_pkt_t(), 120)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK):
self._print_file_info_status(reply_msg)
start_page = reply_msg.payload.start_page
end_page = reply_msg.payload.end_page
page_read_fail_cnt = 0
#print("\n Testing by reading the each pages of File \n")
#for page_index in range(start_page,end_page+1,1):
# print("\n reading page: {}".format(page_index))
# arg_str = str(page_index) + " 1" + " 5"
# print(arg_str)
# self.do_page_read_test(arg_str)
arg_str = str(reply_msg.payload.start_page) + str(reply_msg.payload.end_page)
print(arg_str)
self.do_read_file_sample_data(arg_str)
print("completed reading all the pages of given file index")
print("Total No. of pages read = {}".format((end_page-start_page+1)))
print("No. of pages reported read failures = {}".format(page_read_fail_cnt))
else:
self.vrb.err("Error occured while reading the file with given index")
else:
self.vrb.err("The device did not respond!")
def do_read_file_sample_data(self, arg):
"""
###!!! Under test !!!###
read file sample bytes from every page
#>read_file_sample_data start_page_end end_page_end
eg 1: read_file_sample_data 256 270 ( linear scale)
"""
args = self._parse_args(arg, 2)
if args == None:
self.vrb.write("please provide valid argument")
return
else:
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS,m2m2_file_sys_sample_data_file_read_req_t() )
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_FILE_READ_TEST_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
msg.payload.start_page_ind = int(args[0])
msg.payload.end_page_ind = int(args[1])
self._send_packet(msg)
cnt = msg.payload.start_page_ind
loop_ind=0
loop_num = (abs(msg.payload.end_page_ind - msg.payload.start_page_ind)+1)/2
while loop_ind < loop_num:
# loop body here
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_sample_data_file_read_resp_t(), 10)
if reply_msg != None:
pages_sample_data = re.findall(r'[^\,]+', reply_msg.payload.sample_data)
for page_value in pages_sample_data:
print "Page index = {}".format(cnt)
print page_value
cnt = cnt + 1
loop_ind = loop_ind + 1
else:
self.vrb.err("File information not received, time out !!")
return
print("All pages read !!")
def do_pattern_write(self, arg):
"""
multiple pattern write with prescribed file size, scale
#>pattern_write file_size scale_type scale_factor base num_of_files_to_write
eg 1: pattern_write 16384 0 2 1 2 ( linear scale)
eg 2: pattern_write 16384 1 2 2 2 ( log scale)
eg 3: pattern_write 16384 2 2 2 2( exp scale )
"""
args = self._parse_args(arg, 5)
if args == None:
self.vrb.write("please provide valid argument")
return
else:
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
msg = m2m2_packet(address, m2m2_file_sys_pattern_write_req_pkt_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_PATTERN_WRITE_REQ
msg.payload.status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
msg.payload.file_size = int(args[0])
msg.payload.scale_type = int(args[1])
msg.payload.scale_factor = int(args[2])
msg.payload.base = int(args[3])
msg.payload.num_files_to_write = int(args[4])
status = M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK
if msg.payload.file_size < 4096:
self.vrb.err("provide file size greater than 4096 bytes!")
return
while msg.payload.num_files_to_write > 0:
self._send_packet(msg)
print "File size computed = {}".format(msg.payload.file_size)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_pattern_write_resp_pkt_t(), 5400)
if reply_msg != None:
if reply_msg.payload.status == M2M2_APP_COMMON_STATUS_ENUM_t.M2M2_APP_COMMON_STATUS_OK:
if msg.payload.scale_type == 0:#linear
msg.payload.file_size *= msg.payload.scale_factor
elif msg.payload.scale_type == 1:#log
if msg.payload.scale_factor != 1:
msg.payload.file_size *= int(math.log(msg.payload.base,msg.payload.scale_factor))
elif msg.payload.scale_type == 2:#exp
msg.payload.file_size *= int(math.exp(msg.payload.scale_factor))
else:
if reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_ERR_MEMORY_FULL:
self.vrb.err("Memory full breaking loop as new files cannot be written!")
status = M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_ERR_MEMORY_FULL
break
elif reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_ERR_MAX_FILE_COUNT:
self.vrb.err("Max file count crossed!")
status = M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_ERR_MAX_FILE_COUNT
break
status |= reply_msg.payload.status
else:
self.vrb.err("The device did not respond!")
time.sleep(5)
msg.payload.num_files_to_write -= 1
self._print_file_system_status(reply_msg)
def do_fs_sub_status(self, arg):
fs_address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS
address = None
args = self._parse_args(arg, 1)
if args == None:
return
for a in args:
if a in stream_name_map:
address = stream_name_map[a]["application"]
stream = stream_name_map[a]["stream"]
if address == None:
self.vrb.err("Incorrect usage! You did not provide a valid stream.")
return
msg = m2m2_packet(fs_address, m2m2_app_common_sub_op_t())
msg.payload.stream = stream
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_FS_STREAM_SUB_STATUS_REQ
self._send_packet(msg)
reply_msg = self._get_packet(fs_address, m2m2_file_sys_get_subs_status_resp_t(), 20)
if reply_msg != None:
stream_f = self._get_enum_name(M2M2_ADDR_ENUM_t, reply_msg.payload.stream)
fs_sub_state = self._get_enum_name(FILE_SYS_STREAM_SUBS_STATE_ENUM_t, reply_msg.payload.subs_state)
if stream == None:
stream = hex(reply_msg.payload.stream_f)
self.vrb.write("Application: {}".format(stream_f))
self.vrb.write("FS_SUBS_STATUS: '{}'".format(fs_sub_state))
else:
self.vrb.err("No response from device. FS stream status getting failed.")
def do_fs_status(self, arg):
"""
File system status info. Command to get file system current status.
#>fs_status
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_GET_FS_STATUS_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 10)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.Getting file system status info failed.")
def do_get_max_tx_pkt_comb_cnt(self, arg):
"""
This is a command, to be used from iOS app to get the "max_tx_pkt_comb_cnt" used
in the Watch Fw. It is based on this value that no: of pkts for BLE Tx is combined and send out.
#>get_max_tx_pkt_comb_cnt
"""
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_ble_max_tx_pkt_comb_cnt_resp_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_BLE_GET_MAX_TX_PKT_COMB_CNT_REQ
msg.payload.status = M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_ble_max_tx_pkt_comb_cnt_resp_cmd_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK):
print("max_tx_pkt_comb_cnt used in Watch Fw : {} ").format(reply_msg.payload.max_tx_pkt_comb_cnt)
else:
self.vrb.err("Error occured while reading max_tx_pkt_comb_cnt")
else:
self.vrb.err("The device did not respond!")
def do_set_max_tx_pkt_comb_cnt(self, arg):
"""
This is a command, to be used from iOS app to set the "max_tx_pkt_comb_cnt" used
in the Watch Fw. It is based on this value that no: of pkts for BLE Tx is combined and send out.
#>set_max_tx_pkt_comb_cnt 1
"""
args = self._parse_args(arg, 1)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_ble_max_tx_pkt_comb_cnt_resp_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_BLE_SET_MAX_TX_PKT_COMB_CNT_REQ
msg.payload.status = M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK
msg.payload.max_tx_pkt_comb_cnt = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_ble_max_tx_pkt_comb_cnt_resp_cmd_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK):
print("max_tx_pkt_comb_cnt changed in Watch Fw to : {} ").format(reply_msg.payload.max_tx_pkt_comb_cnt)
else:
self.vrb.err("Error occured while writing max_tx_pkt_comb_cnt")
else:
self.vrb.err("The device did not respond!")
def do_get_hib_mode_status(self, arg):
"""
This is a command, to be used from iOS app/other tools to get the hibernate mode status- enabled/disabled
in the Watch Fw. It is based on this value that Hibernate Mode happens.
#>get_hib_mode_status
"""
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_hibernate_mode_status_resp_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_GET_HIBERNATE_MODE_STATUS_REQ
msg.payload.status = M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_hibernate_mode_status_resp_cmd_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK):
print("hib_mode_status used in Watch Fw : {} ").format(reply_msg.payload.hib_mode_status)
else:
self.vrb.err("Error occured while reading hib_mode_status")
else:
self.vrb.err("The device did not respond!")
def do_set_hib_mode_status(self, arg):
"""
This is a command, to be used from iOS app/other tools to control the hibernate mode status- enabled/disabled
in the Watch Fw. It is based on this value that Hibernate Mode happens.
#>set_hib_mode_status hib_control
hib_control:
1 -> to enable Hib Mode
0 -> to disable Hib Mode
Eg:
#>set_hib_mode_status 1
"""
args = self._parse_args(arg, 1)
if args == None:
return
address = M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM
msg = m2m2_packet(address, m2m2_hibernate_mode_status_resp_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_SET_HIBERNATE_MODE_STATUS_REQ
msg.payload.status = M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK
msg.payload.hib_mode_status = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_hibernate_mode_status_resp_cmd_t(), 20)
if reply_msg != None:
if (reply_msg.payload.status == M2M2_PM_SYS_STATUS_ENUM_t.M2M2_PM_SYS_STATUS_OK):
print("hib_mode_status changed in Watch Fw to : {} ").format(reply_msg.payload.hib_mode_status)
else:
self.vrb.err("Error occured while writing hib_mode_status")
else:
self.vrb.err("The device did not respond!")
def do_test_252(self,arg):
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
#self.onecmd("quickstart start_log_adxl_252")
for i in range(cnt):
print i
self.onecmd("quickstart start_reg_read_adxl")
self.onecmd("quickstart start_log_adxl_252")
print "test #252 done"
def do_test_629(self,arg):
"""
Maximum count tried / tested is 10.
"""
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("fs_format")
self.onecmd("sensor adpd4000 start")
self.onecmd("fs_sub add radpd6")
self.onecmd("fs_log start")
self.onecmd("delay 10")
self.onecmd("fs_sub remove radpd6")
self.onecmd("sensor adpd4000 stop")
self.onecmd("fs_log stop")
self.onecmd("fs_ls")
print "test #629 done"
def do_flash_write_format_test(self,arg):
"""
arg 1 -> Head = Tail
arg 2 -> Head > Tail
arg 3 -> Head < Tail
"""
args = self._parse_args(arg,2)
cnt = int(args[1])
self.onecmd("flash_reset")
print cnt
if cnt == None:
return
if "1" in args[0]:
for i in range(cnt):
print i
self.onecmd("fs_req_debug_info")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 11534336 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("fs_req_debug_info")
self.onecmd("fs_format")
self.onecmd("fs_req_debug_info")
self.onecmd("fs_format_DebugInfo")
elif "2" in args[0]:
for i in range(cnt):
print i
self.onecmd("fs_req_debug_info")
self.onecmd("pattern_write 32768000 0 2 1 2")
self.onecmd("fs_req_debug_info")
self.onecmd("fs_format")
self.onecmd("fs_req_debug_info")
self.onecmd("fs_format_DebugInfo")
elif "3" in args[0]:
for i in range(cnt):
print i
self.onecmd("fs_req_debug_info")
self.onecmd("pattern_write 32768000 0 2 1 2")
self.onecmd("delay 1")
self.onecmd("fs_req_debug_info")
self.onecmd("fs_format")
self.onecmd("fs_format_DebugInfo")
self.onecmd("fs_req_debug_info")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("pattern_write 65536000 0 1 1 1")
self.onecmd("delay 1")
self.onecmd("fs_req_debug_info")
self.onecmd("fs_format")
self.onecmd("fs_format_DebugInfo")
self.onecmd("fs_req_debug_info")
print "test #flash_write_format_test done"
def do_test_341(self,arg):
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
#self.onecmd("quickstart start_log_adxl_252")
for i in range(cnt):
print i
self.onecmd("quickstart start_log_mv_uc1")
self.onecmd("quickstop stop_log_mv_uc1")
# self.onecmd("quickstart adxl")
# time.sleep(2)
# self.onecmd("quickstop adxl")
#self.onecmd("quickstop eda")
print "test #341 done"
def do_test_330(self,arg):
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
#self.onecmd("quickstart tst_issue_330_1")
#self.onecmd("quickstart tst_issue_330_2")
#self.onecmd("quickstart start_log_bia")
#self.onecmd("quickstop stop_log_bia")
self.onecmd("quickstart start_mv_uc1")
self.onecmd("quickstop stop_mv_uc1")
print "test #330 done"
def do_test_217(self,arg):
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
self.onecmd("quickstart eda")
for i in range(cnt):
print i
self.onecmd("quickstart start_stop_adpd4k")
self.onecmd("quickstop eda")
print "test #217 done"
def do_test_230(self,arg):
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("quickstart start_stop_230")
self.onecmd("status adpd4000")
self.onecmd("status adxl")
self.onecmd("status eda")
self.onecmd("status temperature")
print "test #230 done"
def do_test_245(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("quickstart mv_uc1_streaming_start")
self.onecmd("status adpd4000")
self.onecmd("status adxl")
self.onecmd("status temperature")
self.onecmd("delay 1")
self.onecmd("quickstop mv_uc1_streaming_stop")
print "test #245 done"
def do_test_245_1(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("quickstart mv_uc1_245_issue")
self.onecmd("delay 1")
print "test #245_1 done"
def do_test_245_2(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("quickstart mv_uc1_245_issue_wo_dcb")
print "test #245_2 done"
def do_test_245_3(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("quickstart mv_uc1_245_issue_200Hz")
self.onecmd("delay 1")
print "test #245_3 done"
def do_test_245_4(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("quickstart mv_uc1_245_issue_300Hz")
self.onecmd("delay 1")
print "test #245_4 done"
def do_test_dcb(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("write_dcb_config adpd4000 UseCase1.dcfg")
#self.onecmd("delay 1")
self.onecmd("read_dcb_config adpd4000")
#self.onecmd("delay 1")
self.onecmd("compare_cfg_files UseCase1.dcfg adpd4000_dcb_get.dcfg")
self.onecmd("delete_dcb_config adpd4000")
#self.onecmd("delay 1")
print "test DCB Write/Read/Erase done for count {}".format(cnt)
def do_test_dcb_gen_blk(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("write_dcb_config lt_dcb_config gen_blk_dcb.lcfg")
#self.onecmd("delay 1")
self.onecmd("read_dcb_config lt_dcb_config")
#self.onecmd("delay 1")
self.onecmd("delete_dcb_config lt_dcb_config")
#self.onecmd("delay 1")
print "test gen blk DCB Write/Read/Erase done for count {}".format(cnt)
def do_test_dcb_ad7156(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("write_dcb_config ad7156 ad7156_dcb.dcfg")
#self.onecmd("delay 1")
self.onecmd("read_dcb_config ad7156")
#self.onecmd("delay 1")
self.onecmd("compare_cfg_files ad7156_dcb.dcfg ad7156_dcb_get.dcfg")
self.onecmd("delete_dcb_config ad7156")
#self.onecmd("delay 1")
print "test AD7156 DCB Write/Read/Erase done for count {}".format(cnt)
def do_test_335(self,arg):
args = self._parse_args(arg,1)
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("quickstart ppg")
self.onecmd("delay 1")
self.onecmd("lcfgPpgCheck 40 ppg_dcb.lcfg")
self.onecmd("quickstop ppg")
print "test ppg start, lcfgPpgCheck, ppg stop done for count {}".format(cnt)
def do_fs_list(self, arg):
"""
read contents of file. Command is used to read file by getting data from file streamed as byte array.
#>fs_list
"""
args = self._parse_args(arg,1)
if args == None:
return
if "start" in args:
i=0
for i in range(1,10):
self.onecmd("quickstart start_log_adxl")
time.sleep(15)
self.onecmd("quickstop stop_log_adxl")
else:
self.vrb.err("running automation multiple files failed.")
print "test automate done!"
def do_test_469(self,arg):
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("lcfgEcgWrite 0:50")
self.onecmd("sensor ecg start")
self.onecmd("sub recg add")
self.onecmd("delay 10")
self.onecmd("quickstop ecg")
self.onecmd("lcfgEcgWrite 0:100")
self.onecmd("sensor ecg start")
self.onecmd("sub recg add")
self.onecmd("delay 10")
self.onecmd("quickstop ecg")
self.onecmd("lcfgEcgWrite 0:200")
self.onecmd("sensor ecg start")
self.onecmd("sub recg add")
self.onecmd("delay 10")
self.onecmd("quickstop ecg")
self.onecmd("lcfgEcgWrite 0:300")
self.onecmd("sensor ecg start")
self.onecmd("sub recg add")
self.onecmd("delay 10")
self.onecmd("quickstop ecg")
self.onecmd("lcfgEcgWrite 0:400")
self.onecmd("sensor ecg start")
self.onecmd("sub recg add")
self.onecmd("delay 10")
self.onecmd("quickstop ecg")
self.onecmd("lcfgEcgWrite 0:500")
self.onecmd("sensor ecg start")
self.onecmd("sub recg add")
self.onecmd("delay 10")
self.onecmd("quickstop ecg")
print "test #469 done"
def do_test_502_UC4(self,arg):
args = self._parse_args(arg,1)
# for item in args:
# print item
cnt = int(args[0])
print cnt
if cnt == None:
return
for i in range(cnt):
print i
self.onecmd("fs_format")
for j in range(62):
print i,j
self.onecmd("quickstart start_stream_mv_uc4_1")
self.onecmd("delay 1")
self.onecmd("quickstart start_log_mv_uc4_1")
self.onecmd("delay 1")
self.onecmd("quickstop stop_log_mv_uc4_1")
self.onecmd("delay 1")
self.onecmd("quickstop stop_stream_mv_uc4_1")
print "test #502 done"
def do_test_627_log(self,arg) :
args = self._parse_args(arg,1)
cnt = int(args[0])
self.onecmd("flash_reset")
for _ in range(cnt):
self.onecmd("quickstart start_log_mv_uc1")
self.onecmd("delay 3")
self.onecmd("fs_status")
self.onecmd("quickstop stop_log_mv_uc1")
self.onecmd("fs_vol_info")
self.onecmd("fs_req_debug_info")
self.onecmd("fs_ls")
self.onecmd("get_file_cnt")
self.onecmd("fs_get_bad_blocks")
self.onecmd("get_file_cnt")
def do_test_627_download(self,arg) :
args = self._parse_args(arg,0)
error_msg, log_names_list = self.do_fs_ls("")
for file_name in log_names_list:
print file_name
self.onecmd("fs_stream "+ file_name["file"])
def do_test_627_page(self,arg) :
args = self._parse_args(arg,0)
self.onecmd("flash_reset")
for _ in range(1):
self.onecmd("quickstart start_log_mv_uc1")
self.onecmd("delay 3")
self.onecmd("fs_status")
self.onecmd("quickstop stop_log_mv_uc1")
self.onecmd("page_read_test 4 1 40")
self.onecmd("fs_block_erase 1")
self.onecmd("page_read_test 4 1 40")
def do_test_627_pattern_write(self,arg) :
args = self._parse_args(arg,0)
self.onecmd("flash_reset")
self.onecmd("pattern_write 16384 0 2 1 4")
self.onecmd("test_627_download")
def do_edadcfg_write(self,arg) :
"""
To write default dcfg below command is used
#>edadcfg_write 1
other arguments will be used to write user configurable registers to test in future
"""
args = self._parse_args(arg,1)
if(int(args[0]) == 1):
self.onecmd("EdaDcfgUpdate 0x00002044 0x00004091 0x00003008 0x02000000 0x0000300C 0xFFFFFFFF 0x000021D8 0x00000480 0x000021D8 0x00000489 0x000021A8 0x00000814 0x000020D0 0x00000021 0x00002054 0x00000048 0x00002114 0x00000103 0x00002008 0x00008000")
else:
self.onecmd("EdaDcfgUpdate 0x00002044 0x00004092 0x00003008 0x02000001 0x0000300C 0xFFFFFFFE 0x000021D8 0x00000481 0x000021D8 0x00000487 0x000021A8 0x00000815 0x000020D0 0x00000022 0x00002054 0x00000049 0x00002114 0x00000104 0x00002008 0x00008001")
def do_edadcfg_read(self,arg) :
self.onecmd("EdaDcfgRead 0x00002044 0x00003008 0x0000300C 0x000021D8 0x000021D8 0x000021A8 0x000020D0 0x00002054 0x00002114 0x00002008")
def do_get_apps_health_status(self, arg):
"""
read health status of all applications
#>get_apps_health_status
"""
args = self._parse_args(arg,0)
if args == None:
self.vrb.err("Incorrect usage! Please check help.")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_get_apps_running_stat_req_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_GET_APPS_HEALTH_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_get_apps_running_stat_resp_cmd_t(), 240)
if reply_msg != None:
self.vrb.write(" AD5940 ISR Count: {}".format(int(reply_msg.payload.ad5940_isr_cnt)))
self.vrb.write(" ADPD4000 ISR Count : {}".format(int(reply_msg.payload.adpd4000_isr_cnt)))
self.vrb.write(" ADXL ISR Count : {}".format(int(reply_msg.payload.adxl_isr_cnt)))
self._print_packet_status(reply_msg)
else:
self.vrb.err("No response from device.Health status failed.")
def do_get_eda_debug_Info(self, arg):
"""
read debug info of ad5940
#>get_eda_debug_Info
"""
args = self._parse_args(arg,0)
if args == None:
self.vrb.err("Incorrect usage! Please check help.")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, m2m2_get_eda_debug_info_req_cmd_t())
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_REQ_DEBUG_INFO_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, m2m2_get_eda_debug_info_resp_cmd_t(), 240)
if reply_msg != None:
self.vrb.write(" FIFO Overflow status : {}".format(int(reply_msg.payload.ad5940_fifo_overflow_status)))
self.vrb.write(" FIFO Level : {}".format(int(reply_msg.payload.ad5940_fifo_level)))
self.vrb.write(" Time gap between Interrupts : {}us".format(int(reply_msg.payload.Interrupts_time_gap)))
self.vrb.write(" Time gap between packets : {}us".format(int(reply_msg.payload.packets_time_gap)))
self.vrb.write(" Time taken for RTIA Calibration : {}s".format(int(reply_msg.payload.rtia_calibration_time)))
self.vrb.write(" Time taken for first measurement to start : {}s".format(int(reply_msg.payload.delay_in_first_measurements)))
self.vrb.write(" Time taken for first Voltage measurement: {}us".format(int(reply_msg.payload.first_voltage_measure_time)))
self.vrb.write(" Time taken for first Current measurement : {}us".format(int(reply_msg.payload.first_current_measure_time)))
self.vrb.write(" Time gap between successive Voltage Measurements : {}us".format(int(reply_msg.payload.voltage_measure_time_gap)))
self.vrb.write(" Time gap between successive Current Measurements : {}us".format(int(reply_msg.payload.current_measure_time_gap)))
self.vrb.write(" Time taken EDA Initilization : {}s".format(int(reply_msg.payload.EDA_Init_Time)))
self.vrb.write(" Time taken EDA De initialization : {}us".format(int(reply_msg.payload.EDA_DeInit_Time)))
self._print_packet_status(reply_msg)
else:
self.vrb.err("No response from device.Health status failed.")
def do_getPpgLcfg(self, arg):
"""
Get the PPG LCFG, used from Watch. The argument is the LCFG ID, which is 40 for adpd4000
Eg: = getPpgLcfg 40
"""
args = self._parse_args(arg,1)
if args == None:
self.vrb.err("Incorrect usage! Please check help.")
return
if (args[0] != '40'):
self.vrb.err("Invalid LCFG ID !")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, m2m2_ppg_lcfg_data_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_GET_LCFG_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, m2m2_ppg_lcfg_data_t(), 100)
if reply_msg == None:
print "Reading PPG LCFG failed!"
return
Cnt = 0
lcfg_array_count = int(reply_msg.payload.size)
while Cnt < lcfg_array_count:
self.vrb.write("Reading LCFG: 0x{:08X} {}".format(int(reply_msg.payload.lcfgdata[Cnt]), Cnt))
Cnt+=1
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
self.vrb.write("Size : {:02}".format(lcfg_array_count))
self.vrb.write("Command return status: {}".format(status))
def do_fs_KeyValuePair(self, arg):
"""
Inject KeyValuePair into the log.
Usage:
#>fs_KeyValuePair 4562
Note: The entered Value ID (maximum-16 characters) will retain untill you start and close the file.
For every new file,you need to inject value ID.
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.err("Atleast one argument needed")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_set_key_value_pair_req_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_SET_KEY_VALUE_PAIR_REQ
temp_array = list(bytearray(args[0]))
if len(args[0]) > 16:
self.vrb.err("Maximum 16 characters allowed for value ID")
return
for index in range(len(args[0])):
msg.payload.valueID[index] = temp_array[index]
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 10)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.Injecting keyvaluePair failed")
def do_fs_stream_page_chunk(self, arg):
"""
Get the particular chunk of page from file by specifying the page chunk number.
-----------------------------------------------
Usage:
#>fs_stream_chunk RETRANSMIT_TYPE page_rollover page_number page_chunk_number filename
#>fs_stream_chunk 0 0 268 3 05113CAC.LOG
RETRANSMIT_TYPE:
0 - CHUNK CRC ERROR (Get page current chunk)
1 - CHUNK LOST (Get page next chunk)
page_rollover:
pagenumber maximum is 0-65535.
if we request the pagenumber after 65535 ,page_rollover value should be set to 1
page_number:
pagenumber maximum is 0-65535.
Pagenumber recieved on download log stream
page_chunk_number:
page_chunk_number maximum is 0-7 in USB mode and 0-18 in BLE mode.
page_chunk_number recieved on download log stream
"""
args = self._parse_args(arg, 5)
if args == None:
return
Retransmit_type = int(args[0])
Page_Roll_over = int(args[1])
Page_number = int(args[2])
Page_chunk_number = int(args[3])
filename,ext = args[4].split('.')
temp_array = list(bytearray(args[4]))
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_page_chunk_retransmit_req_t(len(args[4])))
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_CHUNK_RETRANSMIT_REQ
msg.payload.retransmit_type = Retransmit_type
msg.payload.page_roll_over = Page_Roll_over
msg.payload.page_number = Page_number
msg.payload.page_chunk_number = Page_chunk_number
for index in range(len(args[4])):
msg.payload.file_name[index] = temp_array[index]
self._send_packet(msg)
nComputedCRC = int(0x0FFFF)
nCRCPolynomial = int(0x1021)
nCRCMisMatchCnt = 0
# loop body here
if(get_cli_addr() == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI):
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_download_log_stream_t(), 1000)
else:
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_download_log_ble_stream_t(), 1000)
if reply_msg != None:
#print"Status:{}".format(reply_msg.payload.status)
print "page_number = {}".format(reply_msg.payload.page_number)
print "page_chunk_number = {}".format(reply_msg.payload.page_chunk_number)
print "page_chunk_size = {}".format(reply_msg.payload.page_chunk_size)
if ((reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_STATUS_OK) or (
reply_msg.payload.status == M2M2_FILE_SYS_STATUS_ENUM_t.M2M2_FILE_SYS_END_OF_FILE)):
fobj = open(filename + '_chunk.LOG', "wb")
data_length = reply_msg.payload.page_chunk_size + 15
# print"Length received t1 = {}".format(data_length)
crc16_data_array = buffer(reply_msg.header)[:] + buffer(reply_msg.payload)[:]
for index in range(0, 8, 2):
crc16_data_array = swap(crc16_data_array, index, index + 1)
nComputedCRC = int(0xFFFF)
for nByte in range(data_length):
nComputedCRC = ((nComputedCRC >> 8) | (nComputedCRC << 8))&0xFFFF
nComputedCRC = nComputedCRC ^ ord(crc16_data_array[nByte])
nComputedCRC ^=(nComputedCRC & 0xFF) >> 4
nComputedCRC ^= ((nComputedCRC << 8) << 4)&0xFFFF
nComputedCRC ^= ((nComputedCRC & 0xFF) << 4) << 1
# '''print"nComputedCRC = {}".format(nComputedCRC)
# print"Length received = {}".format(data_length)'''
# print"nComputedCRC = {}".format(nComputedCRC)
# print"received crc16 = {}".format(reply_msg.payload.crc16)
if ((nComputedCRC != reply_msg.payload.crc16)):
nCRCMisMatchCnt += 1
print"CRC mismatch {}".format(nCRCMisMatchCnt)
# print"received crc16 = {}".format(format_hex(crc16_data_array))
# print"received crc16 = {}".format((crc16_data_array))
# print"Length received t1 = {}".format(data_length)
# print"CRC mismatch cnt = {}".format(nCRCMisMatchCnt)
# Restraining refernce sequence number to 16bit wide
if (reply_msg.payload.page_chunk_size != len(reply_msg.payload.page_chunk_bytes)):
fobj.write(bytearray(reply_msg.payload.page_chunk_bytes[0:int(reply_msg.payload.page_chunk_size)]))
else:
fobj.write(reply_msg.payload.page_chunk_bytes)
print "chunk stream obtained successfully"
self._print_file_system_status(reply_msg)
fobj.close()
else:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.Stream file operation failed.")
def do_fs_refhr(self, arg):
"""
Write referenceHr.Command is used to write reference hr and Current PC time.
#>do_fs_refhr
"""
args = self._parse_args(arg, 1)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_app_ref_hr_stream_t())
src_addr = get_cli_addr()
if src_addr == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI_BLE:
msg.header.src = M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI_BLE_STREAM
elif src_addr == M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI:
msg.header.src = M2M2_ADDR_ENUM_t.M2M2_ADDR_APP_CLI_STREAM
else:
self.vrb.err("Improper address !!")
msg.payload.command = M2M2_SENSOR_COMMON_CMD_ENUM_t.M2M2_SENSOR_COMMON_CMD_STREAM_DATA
now = datetime.datetime.now()
is_dst = time.daylight and time.localtime().tm_isdst > 0
utc_offset = - (time.altzone if is_dst else time.timezone)
msg.payload.refhr = int(args[0])
msg.payload.year = now.year
msg.payload.month = now.month
msg.payload.day = now.day
msg.payload.hour = now.hour
msg.payload.minute = now.minute
msg.payload.second = now.second
msg.payload.TZ_sec = utc_offset
self._send_packet(msg)
self.vrb.write("date and time: {}".format(now), 2)
self.vrb.write("timezone: {}".format(utc_offset), 2)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 20)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("response timeout from device.Stream file written successful.")
def do_create_adpd4k_dcfg(self, arg):
"""
->creates the dcfg to be loaded into adpd4k
->Argument is the slotid and appid
Ex:create_adpd4k_dcfg 1:0
creates dcfg for ppg app in slot-A
/***************APP IDs ***************/ /**************************SLOT IDs **********************/
---------------------------------------- ------------------------------ ------------------------------
| App-ID | Apps | | Slot- ID | ADPD4k_SLOTS | | Slot- ID | ADPD4k_SLOTS |
---------------------------------------- ------------------------------ ------------------------
| 0 | ECG4K | | 1 | A | | 9 | I |
--------------------------------------- ------------------------------ ------------------------
| 1 | PPG | | 2 | B | | 10 | J |
---------------------------------------- ------------------------------ ------------------------
| 2 | Temp. (Thermistor) | | 3 | C | | 11 | K |
------------------------- -------------- ------------------------------ ------------------------
| 3 |Temp. (Calibration Resistor) | | 4 | D | | 12 | L |
---------------------------------------- ------------------------------ --------------------------
| 4 | ADPD4K_G | | 5 | E |
---------------------------------------- ------------------------------
| 5 | ADPD4K_R | | 6 | F |
---------------------------------------- ------------------------------
| 6 | ADPD4K_IR | | 7 | G |
---------------------------------------- ------------------------------
| 7 | ADPD4K_B | | 8 | H |
---------------------------------------- -------------------------------
-> Slot Switching feature not enabled in FW, So Mapping of application and slot is fixed as mentioned in below table.
if Created and loaded DCFG for any other combination, apps and static AGC will not work as expected
-------------------------------------------------------------------
| App-ID | Apps | Slot- ID | ADPD4k_SLOT |
--------------------------------------------------------------------
| 0 | ECG4K | 1 | A |
-------------------------------------------------------------------
| 1 | PPG | 6 | F |
--------------------------------------------------------------------
| 2 | Temp. (Thermistor) | 4 | D |
------------------------- ------------------------------------------
| 3 |Temp. (Calibration Resistor) | 5 | E |
--------------------------------------------------------------------
| 4 | ADPD4K_G | 6 | F |
--------------------------------------------------------------------
| 5 | ADPD4K_R | 7 | G |
--------------------------------------------------------------------
| 6 | ADPD4K_IR | 8 | H |
--------------------------------------------------------------------
| 7 | ADPD4K_B | 9 | I |
--------------------------------------------------------------------
"""
args = self._parse_args(arg, None)
if args == None:
self.vrb.err("No argument passed, Check Help!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd_dcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_CREATE_DCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
slotid = int(tempVal.split(':')[0])
appid = int(tempVal.split(':')[1])
if(appid < 0 or appid > 7 or slotid < 1 or slotid >12):
self.vrb.err("Invalid argument passed, Check Help!")
return
msg.payload.ops[i].slotid = slotid
msg.payload.ops[i].appid = appid
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd_dcfg_op_hdr_t(num_ops), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("DCFG Creation failed!")
def do_lcfgPpgCheck(self, arg):
"""
Compares the PPG LCFG which is loaded into adpd4000 with dcb_lcfg and f/w_lcfg. There are two arguments to it-
1. LCFG ID, which is 40 for adpd4000
2. PPG DCB LCFG filename - for ex. ppg_dcb.lcfg
Eg: = lcfgPpgCheck 40 ppg_dcb.lcfg
"""
args = self._parse_args(arg,2)
if args == None:
self.vrb.err("Incorrect usage! Please check help.")
return
if (args[0] != '40'):
self.vrb.err("Invalid LCFG ID !")
return
dcb_lcfg_filename = 'dcb_cfg/' + args[1]
fw_lcfg = list()
dcb_lcfg = list()
get_lcfg = list()
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, m2m2_ppg_lcfg_data_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_GET_LCFG_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_PPG, m2m2_ppg_lcfg_data_t(), 100)
if reply_msg == None:
print "Reading PPG LCFG failed!"
return
Cnt = 0
lcfg_array_count = int(reply_msg.payload.size)
while Cnt < lcfg_array_count:
get_lcfg.append(int((reply_msg.payload.lcfgdata[Cnt])))
Cnt+=1
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if status == None:
status = format(reply_msg.payload.status, '#04x')
#self.vrb.write("LCFG Size : {:02}".format(lcfg_array_count))
self.vrb.write("Command return status: {}".format(status))
try:
f = open('dcb_cfg/ppg_fw.lcfg') # ppg_fw.lcfg contain Default f/w PPG lcfg
except:
self.vrb.err("Invalid File Name")
return
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t' or line[0]=='/'):
continue
else:
str = line.split('#')
str = str[0].split('/')
str = str[0].split(' ')
str =str[1].replace(' ','').replace('\t','').replace('\n','')
fw_lcfg.append(int(str,16))
f.close()
#self.vrb.write("FW LCFG Size : {:02}".format(len(fw_lcfg)))
'''self.vrb.write("Fw dcfg")
for i in range(len(fw_lcfg)):
self.vrb.write("fw_lcfg {}:{}".format(i,fw_lcfg[i]))'''
try:
f = open(dcb_lcfg_filename) # dcb lcfg file that contains dcb ppg lcfg
except:
self.vrb.err("Invalid File Name")
return
for line in f.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t' or line[0]=='/'):
continue
else:
str = line.split('#')
str = str[0].split('/')
str = str[0].split(' ')
dcb =str[1].replace(' ','').replace('\t','').replace('\n','')
dcb_lcfg.append(int(dcb,16))
f.close()
#self.vrb.write("DCB LCFG Size : {:02}".format(len(dcb_lcfg)))
'''self.vrb.write("DCB dcfg")
for i in range(len(dcb_lcfg)):
self.vrb.write("dcb_lcfg {}:{}".format(i,dcb_lcfg[i]))'''
if(len(get_lcfg)==len(fw_lcfg)):
for i in range(len(get_lcfg)):
if(get_lcfg[i]!=fw_lcfg[i]):
self.vrb.write("FW Mismatch found at index{:02} Got: {:04} Actual: {:04}".format(i,get_lcfg[i],fw_lcfg[i]))
break
else:
if(i==len(get_lcfg)-1):
self.vrb.write("Command return status: {}".format('FW LCFG Present'))
return
else:
continue
if(len(get_lcfg)==len(dcb_lcfg)):
for i in range(len(get_lcfg)):
if(get_lcfg[i]!=dcb_lcfg[i]):
self.vrb.write("DCB Mismatch found at index{:02} Got: {:04} Actual: {:04}".format(i,get_lcfg[i],dcb_lcfg[i]))
break
else:
if(i==len(get_lcfg)-1):
self.vrb.write("Command return status: {}".format('DCB LCFG Present'))
return
else:
continue
self.vrb.write("Command return status: {}".format('Invalid LCFG Present'))
def do_compare_cfg_files(self, arg):
"""
Compares two dcfg/lcfg files to check if they contain same configurations or not.
Two arguments-> filename1, filename2
for ex-
#>compare_dcb_files adxl_dcb.dcfg adxl_dcb_get.dcfg
"""
args = self._parse_args(arg, 2)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
file1 = 'dcb_cfg/' + args[0]
file2 = 'dcb_cfg/' + args[1]
file1_cfg = []
file2_cfg = []
try:
f1 = open(file1)
except:
self.vrb.err("Invalid File Name")
return
for line in f1.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
str = str[0].replace(' ','').replace('\t','').replace('\n','')
file1_cfg.append(int(str,16))
f1.close()
try:
f2 = open(file2)
except:
self.vrb.err("Invalid File Name")
return
for line in f2.readlines():
if(line[0] == '#' or line[0]=='\n' or line[0]==' ' or line[0]=='\t'):
continue
else:
str = line.split('#')
str = str[0].replace(' ','').replace('\t','').replace('\n','')
file2_cfg.append(int(str,16))
f2.close()
if(len(file1_cfg) != len(file2_cfg)):
self.vrb.write("Command return status: {}".format('Cfg. in both files not matched'))
return
else:
for i in range(len(file1_cfg)):
if(file1_cfg[i] != file2_cfg[i]):
self.vrb.write("Command return status: {}".format('Cfg. in both files not matched'))
return
self.vrb.write("Command return status: {}".format('Cfg. in both files matched'))
def do_lcfgEcgRead(self, arg):
"""
Read the ECG LCFG. The argument is the LCFG ID to choose from the ecg configuration structure:
--------------------------------------
|Config Element | Index |
-----------------------------
| FS | 0 |
| ADC_PGA_GAIN | 1 |
| PWR MOD | 2 |
| packetization enable | 3 |
--------------------------------------
Eg: = lcfgEcgRead addr1 addr2 ......
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG, ecg_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG, ecg_app_lcfg_op_hdr_t(num_ops), 10)
reg_result_list = []
if reply_msg == None:
err_stat = 1
self.vrb.err("Reading ECG LCFG failed!")
else:
self._print_ecg_lcfg_result(reply_msg)
err_stat = 0
for i in range(reply_msg.payload.num_ops):
reg_result_list.append((reg_addr, hex(reply_msg.payload.ops[i].value)))
return err_stat, reg_result_list
def do_set_ecg_dcb_lcfg(self,arg):
"""
Writes the ECG LCFG values from DCB if present,otherwise it will write default value. There is no argument.
Eg: = set_ecg_dcb_lcfg
"""
args = self._parse_args(arg, None)
if len(args) != 0:
self.vrb.err("Invalid No. arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG, ecg_app_dcb_lcfg_t())
msg.payload.command =M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_SET_LCFG_REQ
self._send_packet(msg)
time.sleep(3)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG, ecg_app_dcb_lcfg_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Setting ECG Library configuration failed!")
def do_tempr_lcfg_write(self,arg):
"""
Write the temperature LCFG. The first argument is the LCFG ID to choose from the temperature configuration structure,
second argument is the value to be updated
------------------------------------------------------------------
| Config Element | Index | Value to be updated |
------------------------------------------------------------------
| Sample period | 0 | integer value |
| slots selected | 1 | integer value |
| LUT for thermistor 0 | 2 | thermistor0_LUT.lcfg |
| LUT for thermistor 1 | 3 | thermistor1_LUT.lcfg |
| LUT for thermistor 2 | 4 | thermistor2_LUT.lcfg |
| LUT for thermistor 3 | 5 | thermistor3_LUT.lcfg |
| LUT for thermistor 4 | 6 | thermistor4_LUT.lcfg |
------------------------------------------------------------------
Eg: = tempr_lcfg_write addr1 value ......
Usage: tempr_lcfg_write 0 5 /* To update the sampling period to 5 seconds*/
tempr_lcfg_write 1 0xFF /* To update the slots selected to 0xFF */
tempr_lcfg_write 2 thermistor_LUT.lcfg /* To update the thermistor 0 LUT with values
defined in thermistor_LUT.lcfg, template file is given
in the same directory as CLI.py*/
"""
args = self._parse_args(arg)
if(len(args) <= 1):
self.vrb.err("Insufficient arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE, temperature_app_lcfg_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
tempVal = args[0]
if ("0x") in tempVal:
msg.payload.field = int(tempVal, 16)
elif ("0X") in tempVal:
msg.payload.field = int(tempVal, 16)
else:
msg.payload.field = int(tempVal)
if(msg.payload.field == 0 or msg.payload.field == 1):
tempVal = args[1]
if ("0x") in tempVal:
msg.payload.value[0] = int(tempVal, 16)
elif ("0X") in tempVal:
msg.payload.value[0] = int(tempVal, 16)
else:
msg.payload.value[0] = int(tempVal)
elif(msg.payload.field >= 2 or msg.payload.field <= 6):
filename = args[1]
thermistor_lut = []
try:
f = open(filename)
except:
self.vrb.err("Invalid File Name")
return 1
for line in f.readlines():
if (line[0] == '#' or line[0] == '\n' or line[0] == ' ' or line[0] == '\t'):
continue
else:
str = line.split('#')
dcb = str[0].replace(' ', '').replace('\t', '').replace('\n', '')
thermistor_lut.append(dcb) # int(dcb, 16))
f.close()
if (len(thermistor_lut) != 21):
self.vrb.err("Invalid number of elements in the look up table")
return
for index in range(21):
msg.payload.value[index] = int(thermistor_lut[index],16)
else:
self.vrb.err("Invalid field argument passed")
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE, temperature_app_lcfg_t(), 10)
if reply_msg == None:
self.vrb.err("Writing Temperature LCFG failed!")
else:
self._print_temperature_lcfg_result(reply_msg)
def do_tempr_lcfg_read(self,arg):
"""
Read the temperature LCFG. The argument is the LCFG ID to choose from the temperature configuration structure:
------------------------------------------
| Config Element | Index |
------------------------------------------
| Sample period | 0 |
| slots selected | 1 |
| LUT for thermistor 0 | 2 |
| LUT for thermistor 1 | 3 |
| LUT for thermistor 2 | 4 |
| LUT for thermistor 3 | 5 |
| LUT for thermistor 4 | 6 |
------------------------------------------
Eg: = tempr_lcfg_read addr1
Usage: tempr_lcfg_read 0 /* To get the sampling period */
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE, temperature_app_lcfg_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
tempVal = args[0]
if ("0x") in tempVal:
msg.payload.field = int(tempVal, 16)
elif ("0X") in tempVal:
msg.payload.field = int(tempVal, 16)
else:
msg.payload.field = int(tempVal)
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE, temperature_app_lcfg_t(), 10)
if reply_msg == None:
self.vrb.err("Reading Temperature LCFG failed!")
else:
self._print_temperature_lcfg_result(reply_msg)
def do_set_temperature_lcfg_dcb(self, arg):
"""
Writes the Temperature LCFG values from DCB if present,otherwise it will write default value. There is no argument.
Eg: = set_temperature_dcb_lcfg
"""
args = self._parse_args(arg, None)
if len(args) != 0:
self.vrb.err("Invalid No. arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE, temperature_app_dcb_lcfg_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_SET_LCFG_REQ
self._send_packet(msg)
time.sleep(3)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_TEMPERATURE, temperature_app_dcb_lcfg_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Setting Temperature app Library configuration failed!")
def do_set_adpd4k_fs(self,arg):
"""
Set the sampling frequency value in adpd4k dcfg. The argument is ODR value in Hz.
Eg: = set_adpd4k_fs 100
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.err("Invalid No. arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_set_fs_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_SET_FS_REQ
msg.payload.odr = int(args[0])
self._send_packet(msg)
#time.sleep(3)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_sensor_adpd4000_set_fs_t(), 10)
if reply_msg != None:
self._print_packet_status(reply_msg)
else:
self.vrb.err("Setting ADPD4K sampling frequency in DCFG failed!")
def do_disable_adpd4k_slots(self, arg):
"""
Disables all the slots except Slot-A which is enabled by default. There is no argument.
Eg: = disable_adpd4k_slots
"""
args = self._parse_args(arg, None)
if len(args) != 0:
self.vrb.err("Invalid No. arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd4k_slot_info_t())
msg.payload.command = M2M2_SENSOR_ADPD_COMMAND_ENUM_t.M2M2_SENSOR_ADPD_COMMAND_DISABLE_SLOTS_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, m2m2_adpd4k_slot_info_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Disabling adpd4k slots failed!")
def do_set_eda_dcb_lcfg(self,arg):
"""
Writes the EDA LCFG values from DCB if present,otherwise it will write default value. There is no argument.
Eg: = set_eda_dcb_lcfg
"""
args = self._parse_args(arg, None)
if len(args) != 0:
self.vrb.err("Invalid No. arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcb_lcfg_t())
msg.payload.command =M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_SET_LCFG_REQ
self._send_packet(msg)
time.sleep(3)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcb_lcfg_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Setting EDA Library configuration failed!")
def do_read_dcb_info(self,arg):
"""
Reads Important DCB Information
Eg: = read_dcb_info
"""
args = self._parse_args(arg, None)
if len(args) != 0:
self.vrb.err("Invalid No. arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, m2m2_dcb_fds_status_info_req_t())
msg.payload.command = M2M2_BIA_APP_CMD_ENUM_t.M2M2_APP_COMMON_CMD_DCB_TIMING_INFO_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, m2m2_dcb_fds_timing_info_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write(" Check entries time: {} us".format(int(reply_msg.payload.adi_dcb_check_entries_time)))
self.vrb.write(" Clear entries time : {} us".format(int(reply_msg.payload.adi_dcb_clear_entries_time)))
self.vrb.write(" Delete record time : {} us".format(int(reply_msg.payload.adi_dcb_delete_record_time)))
self.vrb.write(" Read Entry time : {} us".format(int(reply_msg.payload.adi_dcb_read_entry_time)))
self.vrb.write(" Update Entry time : {} us".format(int(reply_msg.payload.adi_dcb_update_entry_time)))
else:
self.vrb.err("Setting DCB time info failed!")
def do_lcfgEdaRead(self, arg):
"""
Read the EDA LCFG. The argument is the LCFG ID to choose from the eda configuration structure:
-----------------------------
|Config Element | Index |
-----------------------------
| FS | 0 |
| DFT_NUMBER | 1 |
-----------------------------
Eg: = lcfgEdaRead addr1 addr2 ......
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_lcfg_op_hdr_t(num_ops), 10)
reg_result_list = []
if reply_msg == None:
err_stat = 1
self.vrb.err("Reading EDA LCFG failed!")
else:
self._print_eda_lcfg_result(reply_msg)
err_stat = 0
for i in range(reply_msg.payload.num_ops):
reg_result_list.append((reg_addr, hex(int(reply_msg.payload.ops[i].value))))
return err_stat, reg_result_list
def do_lcfgBiaRead(self, arg):
"""
Read the BIA LCFG. The argument is the LCFG ID to choose from the BIA configuration structure:
-----------------------------
|Config Element | Index |
-----------------------------
| FS | 0 |
| ADC_PGA_GAIN | 1 |
| POWER MOD | 2 |
| SIN FREQ | 3 |
| BIA DFT
number | 4 |
-----------------------------
Eg: = lcfgBiaRead addr1 addr2 ......
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_lcfg_op_hdr_t(num_ops), 10)
reg_result_list = []
if reply_msg == None:
err_stat = 1
self.vrb.err("Reading BIA LCFG failed!")
else:
self._print_bia_lcfg_result(reply_msg)
err_stat = 0
for i in range(reply_msg.payload.num_ops):
reg_result_list.append((reg_addr, hex(int(reply_msg.payload.ops[i].value))))
return err_stat, reg_result_list
def do_set_bia_dcb_lcfg(self, arg):
"""
Writes the BIA LCFG values from DCB if present,otherwise it will write default value. There is no argument.
Eg: = set_bia_dcb_lcfg
"""
args = self._parse_args(arg, None)
if len(args) != 0:
self.vrb.err("Invalid No. arguments supplied!")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_dcb_lcfg_t())
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_SET_LCFG_REQ
self._send_packet(msg)
time.sleep(3)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_dcb_lcfg_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
if reply_msg != None:
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Setting BIA Library configuration failed!")
def do_lcfgEcgWrite(self, arg):
"""
Set the ECG LCFG. The argument is the ECG LCFG ID:VALUE pair to modify the ecg lcfg value
FS address -->0
Values
100
200
300
400
500
ADC_PGA_GAIN address -->1
Values
0 /**< ADC PGA Gain of 1 */
1 /**< ADC PGA Gain of 1.5 */
2 /**< ADC PGA Gain of 2 */
3 /**< ADC PGA Gain of 4 */
4 /**< ADC PGA Gain of 9 */
AFE POWER MOD address -->1
Values
'0' for Low power drive, '1' for High power drive, Default f/w ECG AFE Power Mod = '0'
0 /**< Low power Drive */
1 /**< High power Drive */
Eg: = lcfgEcgWrite addr1:value1 addr2:value2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG, ecg_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if (':' not in tempVal):
self.vrb.err("Invalid Argument Format, check help!")
return
elif ("0x") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
else:
reg_addr = int(tempVal.split(':')[0])
reg_val = int(tempVal.split(':')[1])
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG, ecg_app_lcfg_op_hdr_t(num_ops), 10)
if reply_msg == None:
print "Writing ECG LCFG failed!"
return
self._print_ecg_lcfg_result(reply_msg)
def do_SetEcg4kLcfg(self, arg):
"""
Set the ECG LCFG values for ADPD4000. The argument is the FIELD:VALUE pair to modify the ecg lcfg value
For ODR, field value = 0
Currently ecg lcfg for adpd4k has only one entry i.e. ODR
Sampling Freq. address -->0
Values
100
200
300
400
500
Eg: = SetEcg4kLcfg addr1:value1 addr2:value2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, ecg_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if (':' not in tempVal):
self.vrb.err("Invalid Argument Format, check help!")
return
elif ("0x") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
else:
reg_addr = int(tempVal.split(':')[0])
reg_val = int(tempVal.split(':')[1])
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, ecg_app_lcfg_op_hdr_t(num_ops), 10)
if reply_msg == None:
print "Setting ECG LCFG values for ADPD4K failed!"
return
self._print_ecg_lcfg_result(reply_msg)
def do_GetEcg4kLcfg(self, arg):
"""
Get the ECG LCFG values for ADPD4000. The argument is the FIELD value for the entry to be read from the ecg lcfg
For ODR, field value = 0
Currently ecg lcfg for adpd4k has only one entry i.e. ODR
Eg: = GetEcg4kLcfg addr1 addr2
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, ecg_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_READ_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SENSOR_ADPD4000, ecg_app_lcfg_op_hdr_t(num_ops), 10)
if reply_msg == None:
print "Reading ECG LCFG values for ADPD4K failed!"
return
self._print_ecg_lcfg_result(reply_msg)
def do_lcfgEdaWrite(self, arg):
"""
Set the EDA LCFG. The argument is the EDA LCFG ID:VALUE pair to modify the eda lcfg value
ODR address -->0
Values
4 , 8 , 16 ,25 , 30...........
DFT_NUMBER address -->2
Values
1 DFT_NUMBER = 8 .Recommended for odr >16 Hz
2 DFT_NUMBER = 16 Recommended for odr <= 16Hz
Eg: = lcfgEdaWrite addr1:value1 addr2:value2
lcfgEdaWrite 0:30
lcfgEdaWrite 2:1
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
else:
reg_addr = int(tempVal.split(':')[0])
reg_val = int(tempVal.split(':')[1])
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_lcfg_op_hdr_t(num_ops), 10)
if reply_msg == None:
print "Writing EDA LCFG failed!"
return
self._print_eda_lcfg_result(reply_msg)
def do_lcfgBiaWrite(self, arg):
"""
Set the BIA LCFG. The argument is the ECG LCFG ID:VALUE pair to modify the bia lcfg value
FS address -->0
Values
100
200
300
400
500
ADC_PGA_GAIN address -->1
Values
0 /**< ADC PGA Gain of 1 */
1 /**< ADC PGA Gain of 1.5 */
2 /**< ADC PGA Gain of 2 */
3 /**< ADC PGA Gain of 4 */
4 /**< ADC PGA Gain of 9 */
Eg: = lcfgBiaWrite addr1:value1 addr2:value2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_lcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_LCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = tempVal.split(':')[1]
elif ("0X") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = tempVal.split(':')[1]
else:
reg_addr = int(tempVal.split(':')[0])
reg_val = tempVal.split(':')[1]
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = float(reg_val)
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_lcfg_op_hdr_t(num_ops), 10)
if reply_msg == None:
print "Writing BIA LCFG failed!"
return
self._print_bia_lcfg_result(reply_msg)
def do_dcfgEdaWrite(self, arg):
"""
Set the EDA DCFG. The argument is the EDA DCFG ADDRESS:VALUE pair to modify the eda lcfg value
Eg: = dcfgEdaWrite addr1:value1 addr2:value2 ...
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_APP_COMMON_CMD_ENUM_t.M2M2_APP_COMMON_CMD_WRITE_DCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal.split(':')[0], 16)
reg_val = int(tempVal.split(':')[1], 16)
else:
reg_addr = int(tempVal.split(':')[0])
reg_val = int(tempVal.split(':')[1])
msg.payload.ops[i].field = reg_addr
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dcfg_op_hdr_t(num_ops), 10)
if reply_msg == None:
print "Writing EDA DCFG failed!"
return
self._print_eda_dcfg_result(reply_msg)
def _print_rtia_cal_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of calibrated values: '{}'".format(int(packet.payload.num_calibrated_values)))
t = table(["Actual resistance in Ohms", "Calibrated resistance in Ohms"])
for i in range(packet.payload.num_calibrated_values):
t.add_row([int(packet.payload.rtia_cal_table_val[i].actual_res), int(packet.payload.rtia_cal_table_val[i].calibrated_res)])
t.display()
def _print_ecg_lcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), hex(packet.payload.ops[i].value)])
t.display()
def _print_temperature_lcfg_result(self, packet):
self._print_packet_status(packet)
if(packet.payload.field == 0):
self.vrb.write(" Sample Period : {} sec".format(int(packet.payload.value[0])))
elif(packet.payload.field == 1):
self.vrb.write(" Slots Selected : {}".format(hex(int(packet.payload.value[0]))))
elif(packet.payload.field >= 2 and packet.payload.field <= 6):
self.vrb.write(" LUT for Thermistor {} is listed below:".format(hex(int(packet.payload.field) - 2)))
for index in range(21):
self.vrb.write(" LUT[{}] Impedance (ohm) at {} degrees : {} ".format(int(packet.payload.field) - 2, index*5,hex(int(packet.payload.value[index]))))
else:
self.vrb.write("Invalid Field Index found")
def _print_eda_lcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), hex(packet.payload.ops[i].value)])
t.display()
def _get_ecgalgo_version(self, address):
msg = m2m2_packet(address, m2m2_app_common_ver_req_t())
msg.payload.command = M2M2_ECG_APP_CMD_ENUM_t.M2M2_ECG_APP_CMD_GET_ALGO_VENDOR_VERSION_REQ
self._send_packet(msg)
return self._get_packet(address, m2m2_app_common_version_t())
def _print_bia_lcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), float(packet.payload.ops[i].value)])
t.display()
def _print_eda_dcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), hex(packet.payload.ops[i].value)])
t.display()
def do_flash_reset(self, arg):
"""
format file system. Command to format file system.
#>flash_reset
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_file_reset_cmd_t())
msg.payload.command = M2M2_PM_SYS_COMMAND_ENUM_t.M2M2_PM_SYS_COMMAND_FLASH_RESET_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_PM, m2m2_file_reset_cmd_t(), 240)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.Flash Reset operation failed.")
def do_get_fds_status(self, arg):
"""
get fs dcb status
#>get_fds_status
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_BIA_APP_CMD_ENUM_t.M2M2_DCB_COMMAND_FDS_STATUS_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, m2m2_dcb_fds_status_info_resp_t(), 10)
if reply_msg != None:
self.vrb.write(" Dirty records: {}".format(int(reply_msg.payload.dirty_records)))
self.vrb.write(" Open records : {}".format(int(reply_msg.payload.open_records)))
self.vrb.write(" Valid records : {}".format(int(reply_msg.payload.valid_records)))
self.vrb.write(" Pages available : {}".format(int(reply_msg.payload.pages_available)))
self.vrb.write(" Memory Number of blocks : {}".format(int(reply_msg.payload.num_blocks)))
self.vrb.write(" Blocks free : {}".format(int(reply_msg.payload.blocks_free)))
self._print_packet_status(reply_msg)
else:
self.vrb.err("No response from device.Getting FDS status info failed.")
def do_run_dcb_test(self, arg):
"""
run dcb tests from robot script
#>run_dcb_test
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("please provide valid argument")
return
else:
count = 0
max_iter = int(args[0])
while (count < max_iter):
print 'The count is:', count
count = count + 1
self.onecmd("sensor ppg start")
self.onecmd("status ppg")
self.onecmd("sensor ppg stop")
#self.onecmd("quickstart combined_dcb_ecg_test")
#self.onecmd("quickstart combined_dcb_eda_test")
#self.onecmd("quickstart combined_dcb_adpd_test")
#self.onecmd("quickstart combined_dcb_adxl_test")
#self.onecmd("quickstart adxl_dcb_test_2")
#self.onecmd("quickstart ppg_status_check_robot_test")
#self.onecmd("quickstart temp_dcb_test")
def do_loadBiaDcfg(self, arg):
"""
Load the EDA application DCFG.
#>loadBiaDcfg
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, m2m2_app_common_sub_op_t())
msg.payload.command = M2M2_BIA_APP_CMD_ENUM_t.M2M2_BIA_APP_CMD_LOAD_DCFG_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA,m2m2_app_common_sub_op_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self._print_packet_status(reply_msg)
else:
self.vrb.err("Loading BIA device configuration failed!")
def do_BiaDcfgUpdate(self, arg):
"""
Update BIA DCFG register values.
Eg: = BiaDcfgUpdate addr1 value1 addr2 value2 ...
Usage: BiaDcfgUpdate 0x000021D8 0x00000489
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self._p_err("No arguments supplied!")
return
num_ops = len(args)
num_ops >>= 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_dcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_BIA_APP_CMD_ENUM_t.M2M2_BIA_APP_COMMON_CMD_WRITE_DCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i*2]
reg_index = int(tempVal,16)
tempVal = args[i*2+1]
if ("0x") in tempVal:
reg_val = int(tempVal, 16)
elif ("0X") in tempVal:
reg_val = int(tempVal, 16)
else:
reg_val = int(tempVal)
msg.payload.ops[i].field = reg_index
msg.payload.ops[i].value = reg_val
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_dcfg_op_hdr_t(num_ops), 60)
if reply_msg == None:
status = self._get_enum_name(M2M2_EDA_APP_CMD_ENUM_t, reply_msg.payload.status)
print "Writing BIA App DCFG failed!"
return self._print_bia_app_dcfg_result(reply_msg)
def do_BiaDcfgRead(self, arg):
"""
Read the BIA DCFG. The argument is the DCFG ID to choose from the eda configuration structure:
---------------------------------------------------------------
|Config Element | Address |
---------------------------------------------------------------
| FIFO Config register | 0x000021D8 |
---------------------------------------------------------------
Eg: = BiaDcfgRead addr1 addr2 ......
"""
args = self._parse_args(arg, None)
if len(args) == 0:
self.vrb.err("No arguments supplied!")
return
num_ops = len(args)
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_dcfg_op_hdr_t(num_ops))
msg.payload.command = M2M2_BIA_APP_CMD_ENUM_t.M2M2_BIA_APP_COMMON_CMD_READ_DCFG_REQ
msg.payload.num_ops = num_ops
for i in range(num_ops):
tempVal = args[i]
if ("0x") in tempVal:
reg_addr = int(tempVal, 16)
elif ("0X") in tempVal:
reg_addr = int(tempVal, 16)
else:
reg_addr = int(tempVal)
msg.payload.ops[i].field = reg_addr
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_dcfg_op_hdr_t(num_ops), 10)
reg_result_list = []
if reply_msg == None:
err_stat = 1
self.vrb.err("Reading BIA DCFG failed!")
else:
self._print_bia_app_dcfg_result(reply_msg)
err_stat = 0
for i in range(reply_msg.payload.num_ops):
reg_result_list.append((reg_addr, hex(int(reply_msg.payload.ops[i].value))))
return err_stat, reg_result_list
def _print_bia_app_dcfg_result(self, packet):
self._print_packet_status(packet)
self.vrb.write(" Num of registers: '{}'".format(int(packet.payload.num_ops)))
t = table(["Field", "Value"])
for i in range(packet.payload.num_ops):
t.add_row([hex(packet.payload.ops[i].field), hex(packet.payload.ops[i].value)])
t.display()
def do_biadcfg_write(self,arg) :
"""
To write default dcfg below command is used
#>biadcfg_write 1
other arguments will be used to write user configurable registers to test in future
"""
args = self._parse_args(arg,1)
if(int(args[0]) == 1):
self.onecmd("BiaDcfgUpdate 0x00002004 0x00000000 0x000021d8 0x00000489 0x000021e0 0x00040000 0x00002008 0x00004800 0x00002030 0x00333333 0x0000203c 0x000007ff 0x00002038 0x00000000 0x00002034 0x00000000 0x00002014 0x00000004 0x00002044 0x0000e011 0x000020d0 0x001000b1")
else:
self.onecmd("BiaDcfgUpdate 0x00002004 0x00000001 0x000021d8 0x00000488 0x000021e0 0x00040001 0x00002008 0x00004801 0x00002030 0x00333332 0x0000203c 0x000007fe 0x00002038 0x00000001 0x00002034 0x00000001 0x00002014 0x00000005 0x00002044 0x0000e012 0x000020d0 0x001000b2")
def do_biadcfg_read(self,arg) :
self.onecmd("BiaDcfgRead 0x00002004 0x000021d8 0x000021e0 0x00002008 0x00002030 0x0000203c 0x00002038 0x00002034 0x00002014 0x00002044 0x000020d0")
def do_EdaDynamicScaling(self, arg):
"""
Set the device into a desired power state. The argument is the state:
'disable' for disabling dynamic scaling
'enable' for enabling dynamic scaling
-----------------------------------------------
Usage:
#>EdaDynamicScaling [scale]
#>EdaDynamicScaling enable/disable minscale maxscale lprtiasel
#>minscale [20-100k,21-120k,22-128k,23-160k,24-196k,25-256k,26-512k]
#>maxscale [20-100k,21-120k,22-128k,23-160k,24-196k,25-256k,26-512k]
#>lprtiasel[20-100k,21-120k,22-128k,23-160k,24-196k,25-256k,26-512k]
#>minscale<maxscale, lprtiasel >= minscale
#>EdaDynamicScaling enable 20 26 20
"""
arg_len = len(arg.split(' '))
if arg_len == 1:
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("please provide valid argument")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dynamic_scale_t())
if "d" in arg[0]:
msg.payload.dscale = 0
msg.payload.minscale = 0
msg.payload.maxscale = 0
msg.payload.lprtia = 0
elif arg_len == 4:
args = self._parse_args(arg, 4)
if args == None:
self.vrb.write("please provide valid argument")
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dynamic_scale_t())
if "e" in args[0]:
msg.payload.dscale = 1
msg.payload.minscale = int(args[1])
msg.payload.maxscale = int(args[2])
msg.payload.lprtia=int(args[3])
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_DYNAMIC_SCALE_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_dynamic_scale_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
else:
self.vrb.err("Enabling dynamic scaling failed!")
def do_DoRTIACal(self, arg):
"""
-----------------------------------------------
Usage:
#>DoRTIACal minscale maxscale lprtiasel
#>minscale [20-100k,21-120k,22-128k,23-160k,24-196k,25-256k,26-512k]
#>maxscale [20-100k,21-120k,22-128k,23-160k,24-196k,25-256k,26-512k]
#>lprtiasel[20-100k,21-120k,22-128k,23-160k,24-196k,25-256k,26-512k]
#>minscale<maxscale, lprtiasel >= minscale
#>DoRTIACal 20 26 20
"""
args = self._parse_args(arg, 3)
if args == None:
self.vrb.write("please provide valid argument")
return
length = int(args[1]) - int(args[0]) + 1
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_perform_rtia_cal_t(length))
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_RTIA_CAL_REQ
msg.payload.minscale = int(args[0])
msg.payload.maxscale = int(args[1])
msg.payload.lowpowerrtia = int(args[2])
msg.payload.num_calibrated_values = msg.payload.maxscale - msg.payload.minscale + 1
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_perform_rtia_cal_t(msg.payload.num_calibrated_values), 240)
if reply_msg == None:
self.vrb.err("RTIA Calibration failed!!")
return
self._print_rtia_cal_result(reply_msg)
self.vrb.write("RTIA Calibration success!!")
def do_SetBIADFTnum(self, arg):
"""
Set the BIA app DFT number..
'0' for 4
'1' for 8
'2' for 16
'3' for 32
'4' for 64
'5' for 128
'6' for 256
'7' for 512
'8' for 1024
'9' for 2048
'10' for 4096
'11' for 8192
'12' for 16384
-----------------------------------------------
Usage:
#>SetBIADFTnum [value]
#>SetBIADFTnum 11
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("please provide valid argument")
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_set_dft_num_t())
msg.payload.command = M2M2_BIA_APP_CMD_ENUM_t.M2M2_BIA_APP_CMD_SET_DFT_NUM_REQ
if args == None:
msg.payload.dftnum = 11
else:
msg.payload.dftnum = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA,
bia_app_set_dft_num_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Value: '{}'".format(int(reply_msg.payload.dftnum)))
else:
self.vrb.err("Setting BIA DFT number failed!")
def do_SetEdaDFTnum(self, arg):
"""
Set the EDA app DFT number..
'0' for 4
'1' for 8
'2' for 16
'3' for 32
-----------------------------------------------
Usage:
#>SetEdaDFTnum [value]
#>SetEdaDFTnum 4
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("please provide valid argument")
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_set_dft_num_t())
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_SET_DFT_NUM_REQ
if args == None:
msg.payload.dftnum = 2
else:
msg.payload.dftnum = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA,
eda_app_set_dft_num_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Value: '{}'".format(int(reply_msg.payload.dftnum)))
else:
self.vrb.err("Setting EDA DFT number failed!")
def do_SetEdaBaselineImp(self, arg):
"""
Set the EDA app Baseline resistor used for measurement and measured impedance.
-----------------------------------------------
Usage:
#>SetEdaBaselineImp [imp_real_dft16] [imp_img_dft16] [imp_real_dft8] [imp_img_dft8] [resistor_baseline]
#>SetEdaBaselineImp 25000.5 25000.5 25000.5 25000.5 19900
"""
args = self._parse_args(arg, 5)
if args == None:
self.vrb.write("please provide valid argument")
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_set_baseline_imp_t())
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_BASELINE_IMP_SET_REQ
msg.payload.imp_real_dft16 = float(args[0])
msg.payload.imp_img_dft16 = float(args[1])
msg.payload.imp_real_dft8 = float(args[2])
msg.payload.imp_img_dft8 = float(args[3])
msg.payload.resistor_baseline = int(args[4])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA,
eda_app_set_baseline_imp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" DFT16_REAL: '{}'".format(float(reply_msg.payload.imp_real_dft16)))
self.vrb.write(" DFT16_IMG: '{}'".format(float(reply_msg.payload.imp_img_dft16)))
self.vrb.write(" DFT8_REAL: '{}'".format(float(reply_msg.payload.imp_real_dft8)))
self.vrb.write(" DFT8_IMG: '{}'".format(float(reply_msg.payload.imp_img_dft8)))
self.vrb.write(" BASELINE REGISTER: '{}'".format(int(reply_msg.payload.resistor_baseline)))
else:
self.vrb.err("Setting EDA Baseline Impedance failed!")
def do_GetEdaBaselineImp(self, arg):
"""
Set the EDA app Baseline resistor used for measurement and measured impedance.
-----------------------------------------------
Usage:
#>GetEdaBaselineImp
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_get_baseline_imp_req_t())
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_BASELINE_IMP_GET_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA,
eda_app_get_baseline_imp_resp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Eda user baseleine imp_set_flag: '{}'".format(reply_msg.payload.eda_user_baseline_imp_set))
self.vrb.write(" DFT16_REAL: '{}'".format(float(reply_msg.payload.imp_real_dft16)))
self.vrb.write(" DFT16_IMG: '{}'".format(float(reply_msg.payload.imp_img_dft16)))
self.vrb.write(" DFT8_REAL: '{}'".format(float(reply_msg.payload.imp_real_dft8)))
self.vrb.write(" DFT8_IMG: '{}'".format(float(reply_msg.payload.imp_img_dft8)))
self.vrb.write(" BASELINE REGISTER: '{}'".format(int(reply_msg.payload.resistor_baseline)))
else:
self.vrb.err("Getting EDA Baseline Impedance failed!")
def do_ResetEdaBaselineImp(self, arg):
"""
Reset the EDA app Baseline resistor used for measurement and measured impedance.
-----------------------------------------------
Usage:
#>ResetEdaBaselineImp
"""
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA, eda_app_set_baseline_imp_t())
msg.payload.command = M2M2_EDA_APP_CMD_ENUM_t.M2M2_EDA_APP_CMD_BASELINE_IMP_RESET_REQ
msg.payload.imp_real_dft16 = 0
msg.payload.imp_img_dft16 = 0
msg.payload.imp_real_dft8 = 0
msg.payload.imp_img_dft8 = 0
msg.payload.resistor_baseline = 0
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA,
eda_app_set_baseline_imp_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" DFT16_REAL: '{}'".format(float(reply_msg.payload.imp_real_dft16)))
self.vrb.write(" DFT16_IMG: '{}'".format(float(reply_msg.payload.imp_img_dft16)))
self.vrb.write(" DFT8_REAL: '{}'".format(float(reply_msg.payload.imp_real_dft8)))
self.vrb.write(" DFT8_IMG: '{}'".format(float(reply_msg.payload.imp_img_dft8)))
self.vrb.write(" BASELINE REGISTER: '{}'".format(int(reply_msg.payload.resistor_baseline)))
else:
self.vrb.err("Resetting EDA Baseline Impedance failed!")
def do_SetHSRTIACal(self, arg):
"""
Set the BIA app HSRTIA cal..
HSRTIACAL[0-200,1-1k,2-5k]
-----------------------------------------------
Usage:
#>SetHSRTIACal [value]
#>SetHSRTIACal 1
"""
args = self._parse_args(arg, 1)
if args == None:
self.vrb.write("please provide valid argument")
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA, bia_app_hs_rtia_sel_t())
msg.payload.command = M2M2_BIA_APP_CMD_ENUM_t.M2M2_BCM_APP_CMD_SET_HS_RTIA_CAL_REQ
if args == None:
msg.payload.hsritasel = 1
else:
msg.payload.hsritasel = int(args[0])
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_BIA,
bia_app_hs_rtia_sel_t(), 10)
if reply_msg != None:
status = self._get_enum_name(M2M2_APP_COMMON_STATUS_ENUM_t, reply_msg.payload.status)
self.vrb.write(" Status: '{}'".format(status))
self.vrb.write(" Value: '{}'".format(int(reply_msg.payload.hsritasel)))
else:
self.vrb.err("Setting BIA HSRTIACAL failed!")
def do_getEcgVersion(self, arg):
"""
Get the Ecg application version information.
#>getEcgVersion
"""
version = self._get_version(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_ECG)
if version != None:
self._print_version_pkt(version)
else:
self.vrb.err("Timed out waiting for the ECG version response.")
#self.onecmd("getEcgAlgoVendorVersion")
def do_getEdaVersion(self, arg):
"""
Get the EDA application version information.
#>getEdaVersion
"""
version = self._get_version(M2M2_ADDR_ENUM_t.M2M2_ADDR_MED_EDA)
if version != None:
self._print_version_pkt(version)
else:
self.vrb.err("Timed out waiting for the EDA version response.")
def do_fs_abort(self, arg):
"""
stop logging
#>fs_abort
"""
args = self._parse_args(arg, 0)
if args == None:
return
msg = m2m2_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t())
msg.payload.command = M2M2_FILE_SYS_CMD_ENUM_t.M2M2_FILE_SYS_CMD_FORCE_STOP_LOG_REQ
self._send_packet(msg)
reply_msg = self._get_packet(M2M2_ADDR_ENUM_t.M2M2_ADDR_SYS_FS, m2m2_file_sys_cmd_t(), 5000)
if reply_msg != None:
self._print_file_system_status(reply_msg)
else:
self.vrb.err("No response from device.stop log request failed")
if __name__ == '__main__':
m2m2_shell().cmdloop()
| 56.341443
| 4,463
| 0.614978
| 70,655
| 528,032
| 4.323247
| 0.034916
| 0.033949
| 0.02089
| 0.019066
| 0.812603
| 0.769092
| 0.73899
| 0.718224
| 0.695894
| 0.673861
| 0
| 0.056496
| 0.266111
| 528,032
| 9,371
| 4,464
| 56.347455
| 0.731751
| 0.0289
| 0
| 0.587688
| 0
| 0.006253
| 0.288033
| 0.017987
| 0
| 0
| 0.013036
| 0
| 0
| 0
| null | null | 0.002918
| 0.001946
| null | null | 0.066704
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
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| 0
|
0
| 7
|
531aa880f81dbf32b4b000e6d4ac56a1c677594b
| 16,109
|
py
|
Python
|
app/models.py
|
LuckyQueen0928/tanna
|
081df82d09d0bcbd132060822ad0459ac670d0f4
|
[
"Apache-2.0"
] | 3
|
2018-09-19T09:39:11.000Z
|
2021-08-18T09:23:19.000Z
|
app/models.py
|
LuckyQueen0928/tanna
|
081df82d09d0bcbd132060822ad0459ac670d0f4
|
[
"Apache-2.0"
] | null | null | null |
app/models.py
|
LuckyQueen0928/tanna
|
081df82d09d0bcbd132060822ad0459ac670d0f4
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
from . import db
from datetime import datetime
from sqlalchemy import DateTime
class task_info_t(db.Model):
__tablename__ = 'task_info_t'
tid = db.Column(db.Integer, primary_key=True)
task_name = db.Column(db.String(100))
task_desc = db.Column(db.String(500))
create_date = db.Column(db.DateTime, default=datetime.now)
uid = db.Column(db.Integer)
task_hash = db.Column(db.String(100))
task_state = db.Column(db.Integer)
def __repr__(self):
return '<task_name %r>' % self.task_name
class application_info_t(db.Model):
__tablename__ = 'application_info_t'
id = db.Column(db.Integer, primary_key=True)
tid = db.Column(db.Integer, db.ForeignKey('application_info_t.tid'))
app_name = db.Column(db.String(255))
app_version = db.Column(db.String(255))
app_desc = db.Column(db.String(255))
algorithm_mode = db.Column(db.Integer)
begin_time = db.Column(db.DateTime, default=datetime.now)
end_time = db.Column(db.DateTime)
app_state = db.Column(db.Integer)
app_hash =db.Column(db.String(100))
fuzz_addr = db.Column(db.Integer)
platform = db.Column(db.Integer)
instru_mode = db.Column(db.Integer)
app_port = db.Column(db.Integer)
iterations = db.Column(db.Integer)
time_interval = db.Column(db.Integer)
def __repr__(self):
return '<app_name %r>' % self.app_name
#新增视图查询，避免联表查询速度过慢 by wcx
class indextasklist(db.Model):
__tablename__ = 'indextasklist'
tid = db.Column(db.Integer, primary_key=True)
task_name = db.Column(db.String(100))
task_desc = db.Column(db.String(500))
create_date = db.Column(db.DateTime, default=datetime.now)
uid = db.Column(db.Integer)
task_state = db.Column(db.Integer)
app_name = db.Column(db.String(255))
app_state = db.Column(db.Integer)
platform = db.Column(db.Integer)
instru_mode = db.Column(db.Integer)
def __repr__(self):
return '<app_name %r>' % self.app_name
#新增视图查询，避免联表查询速度过慢 by wcx
class sample_info_t(db.Model):
__tablename__ = 'sample_info_t'
sample_id = db.Column(db.Integer, primary_key=True)
sample_name = db.Column(db.String(100))
prefix_number = db.Column(db.Integer)
suffix_number = db.Column(db.Integer)
last_number = db.Column(db.Integer)
format = db.Column(db.String(100))
aid = db.Column(db.Integer)
father_sample = db.Column(db.String(100))
isexception = db.Column(db.Integer)
sample_state = db.Column(db.Integer)
taint_start = db.Column(db.String(100))
taint_offset = db.Column(db.String(100))
sample_hash = db.Column(db.String(100))
state_id = db.Column(db.Integer)
log_limit = db.Column(db.Integer)
ins_limit = db.Column(db.Integer)
action_index = db.Column(db.Integer)
fuzz_flag=db.Column(db.Integer)
def __repr__(self):
return '<sample_name %r>' % self.sample_name
class Globalnode(db.Model):
__tablename__ = 'global_node_t'
nid = db.Column(db.Integer, primary_key=True)
id = db.Column(db.Integer)
tail = db.Column(db.Integer)
name = db.Column(db.String(128))
status = db.Column(db.Integer)
taskid = db.Column(db.Integer)
aid = db.Column(db.Integer)
check_flag = db.Column(db.Integer)
def __repr__(self):
return '<name %r>' % self.name
class Globaledge(db.Model):
__tablename__ = 'global_edge_t'
eid = db.Column(db.Integer, primary_key=True)
parent = db.Column(db.Integer)
child = db.Column(db.Integer)
aid = db.Column(db.Integer)
parent_name = db.Column(db.String(256))
child_name = db.Column(db.String(256))
def __repr__(self):
return '<parent_name %r>' % self.parent_name
class Partialedge(db.Model):
__tablename__ = 'partial_edge_t'
eid = db.Column(db.Integer, primary_key=True)
parent = db.Column(db.Integer)
child = db.Column(db.Integer)
parentnode = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<parent %r>' % self.parent
class Partialnode(db.Model):
__tablename__ = 'partial_node_t'
nid = db.Column(db.Integer, primary_key=True)
id = db.Column(db.Integer)
tail = db.Column(db.Integer)
parentnode = db.Column(db.Integer)
status = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<id %r>' % self.id
class peach_pit(db.Model):
__tablename__ = 'peach_pit'
# is_fuzzing = db.Column(db.Integer)
peach_id = db.Column(db.Integer, primary_key=True)
pit_hash = db.Column(db.String(100))
aid = db.Column(db.Integer)
pit_name = db.Column(db.String(100))
case_count = db.Column(db.Integer)
def __repr__(self):
return '<pit_name %r>' % self.pit_name
class sensitive_addr_info(db.Model):
__tablename__ = 'sensitive_addr_info'
sensitive_id = db.Column(db.Integer, primary_key=True)
aid = db.Column(db.Integer)
sensitive_addr = db.Column(db.String(20))
def __repr__(self):
return '<sensitive_addr %r>' % self.sensitive_addr
class sensitive_post_t(db.Model):
__tablename__ = 'sensitive_post_t'
id = db.Column(db.Integer, primary_key=True)
addr = db.Column(db.Integer)
status = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<addr %r>' % self.addr
class source_asm_map(db.Model):
__tablename__ = 'source_asm_map'
id = db.Column(db.Integer, primary_key=True)
addr = db.Column(db.Integer)
aid = db.Column(db.Integer)
segment = db.Column(db.String(20))
info = db.Column(db.String(20))
def __repr__(self):
return '<addr %r>' % self.addr
class special_node_t(db.Model):
__tablename__ = 'special_node_t'
id = db.Column(db.Integer, primary_key=True)
addr = db.Column(db.Integer)
addrtype = db.Column(db.Integer)
taskid = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<addr %r>' % self.addr
class trace_info_t(db.Model):
__tablename__ = 'trace_info_t'
trace_id = db.Column(db.Integer, primary_key=True)
trace_name = db.Column(db.String(100))
trace_file_addr = db.Column(db.String(100))
prefix_number = db.Column(db.Integer)
suffix_number = db.Column(db.Integer)
trace_state = db.Column(db.Integer)
convert_number = db.Column(db.Integer)
depth = db.Column(db.Integer, default=-1)
count = db.Column(db.Integer)
aid = db.Column(db.Integer)
sid = db.Column(db.Integer)
num = db.Column(db.Integer)
def __repr__(self):
return '<trace_name %r>' % self.trace_name
class constrain_info_t(db.Model):
constrain_name = db.Column(db.String(100))
constrain_file_addr = db.Column(db.String(500))
prefix_number = db.Column(db.Integer, default=0)
suffix_number = db.Column(db.Integer, default=0)
last_number = db.Column(db.Integer)
constrain_file_state = db.Column(db.Integer)
current_sample = db.Column(db.String(100))
aid = db.Column(db.Integer)
constrain_id = db.Column(db.Integer, primary_key=True)
convert_addr = db.Column(db.Integer)
def __repr__(self):
return '<constrain_name %r>' % self.constrain_name
class coverage_log_t(db.Model):
__tablename__ = 'coverage_log_t'
id = db.Column(db.Integer, primary_key=True)
log_time = db.Column(db.DateTime, default=datetime.now)
coverage = db.Column(db.String)
aid = db.Column(db.Integer)
def __repr__(self):
return '<id %r>' % self.id
class user_t(db.Model):
__tablename__ = 'user_t'
user_id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String)
userpassword = db.Column(db.String)
createtime = db.Column(db.DateTime, default=datetime.now)
def __repr__(self):
return '<username %r>' % self.username
# 文档类模型
class w_task_info_t(db.Model):
__tablename__ = 'w_task_info_t'
tid = db.Column(db.Integer, primary_key=True)
task_name = db.Column(db.String(100))
task_desc = db.Column(db.String(500))
create_date = db.Column(db.DateTime, default=datetime.now)
uid = db.Column(db.Integer)
task_hash = db.Column(db.String(100))
task_state = db.Column(db.Integer)
def __repr__(self):
return '<task_name %r>' % self.task_name
class w_application_info_t(db.Model):
__tablename__ = 'w_application_info_t'
id = db.Column(db.Integer, primary_key=True)
tid = db.Column(db.Integer, db.ForeignKey('w_application_info_t.tid'))
app_name = db.Column(db.String(255))
app_version = db.Column(db.String(255))
app_desc = db.Column(db.String(255))
algorithm_mode = db.Column(db.Integer)
begin_time = db.Column(db.DateTime, default=datetime.now)
end_time = db.Column(db.DateTime)
app_state = db.Column(db.Integer)
app_hash =db.Column(db.String(100))
fuzz_addr = db.Column(db.Integer)
platform = db.Column(db.Integer)
instru_mode = db.Column(db.Integer)
app_port = db.Column(db.Integer)
iterations = db.Column(db.Integer)
time_interval = db.Column(db.Integer)
def __repr__(self):
return '<app_name %r>' % self.app_name
class w_indextasklist(db.Model):
__tablename__ = 'w_indextasklist'
tid = db.Column(db.Integer, primary_key=True)
task_name = db.Column(db.String(100))
task_desc = db.Column(db.String(500))
create_date = db.Column(db.DateTime, default=datetime.now)
uid = db.Column(db.Integer)
task_state = db.Column(db.Integer)
app_name = db.Column(db.String(255))
app_state = db.Column(db.Integer)
platform = db.Column(db.Integer)
instru_mode = db.Column(db.Integer)
def __repr__(self):
return '<app_name %r>' % self.app_name
class w_sample_info_t(db.Model):
__tablename__ = 'w_sample_info_t'
sample_id = db.Column(db.Integer, primary_key=True)
sample_name = db.Column(db.String(100))
prefix_number = db.Column(db.Integer)
suffix_number = db.Column(db.Integer)
last_number = db.Column(db.Integer)
format = db.Column(db.String(100))
aid = db.Column(db.Integer)
father_sample = db.Column(db.String(100))
isexception = db.Column(db.Integer)
sample_state = db.Column(db.Integer)
taint_start = db.Column(db.String(100))
taint_offset = db.Column(db.String(100))
sample_hash = db.Column(db.String(100))
state_id = db.Column(db.Integer)
log_limit = db.Column(db.Integer)
ins_limit = db.Column(db.Integer)
action_index = db.Column(db.Integer)
fuzz_flag=db.Column(db.Integer)
def __repr__(self):
return '<sample_name %r>' % self.sample_name
class w_Globalnode(db.Model):
__tablename__ = 'w_global_node_t'
nid = db.Column(db.Integer, primary_key=True)
id = db.Column(db.Integer)
tail = db.Column(db.Integer)
name = db.Column(db.String(128))
status = db.Column(db.Integer)
taskid = db.Column(db.Integer)
aid = db.Column(db.Integer)
check_flag = db.Column(db.Integer)
def __repr__(self):
return '<name %r>' % self.name
class w_Globaledge(db.Model):
__tablename__ = 'w_global_edge_t'
eid = db.Column(db.Integer, primary_key=True)
parent = db.Column(db.Integer)
child = db.Column(db.Integer)
aid = db.Column(db.Integer)
parent_name = db.Column(db.String(256))
child_name = db.Column(db.String(256))
def __repr__(self):
return '<parent_name %r>' % self.parent_name
class w_Partialedge(db.Model):
__tablename__ = 'w_partial_edge_t'
eid = db.Column(db.Integer, primary_key=True)
parent = db.Column(db.Integer)
child = db.Column(db.Integer)
parentnode = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<parent %r>' % self.parent
class w_Partialnode(db.Model):
__tablename__ = 'w_partial_node_t'
nid = db.Column(db.Integer, primary_key=True)
id = db.Column(db.Integer)
tail = db.Column(db.Integer)
parentnode = db.Column(db.Integer)
status = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<id %r>' % self.id
class w_peach_pit(db.Model):
__tablename__ = 'w_peach_pit'
# is_fuzzing = db.Column(db.Integer)
peach_id = db.Column(db.Integer, primary_key=True)
pit_hash = db.Column(db.String(100))
aid = db.Column(db.Integer)
pit_name = db.Column(db.String(100))
case_count = db.Column(db.Integer)
def __repr__(self):
return '<pit_name %r>' % self.pit_name
class w_sensitive_addr_info(db.Model):
__tablename__ = 'w_sensitive_addr_info'
sensitive_id = db.Column(db.Integer, primary_key=True)
aid = db.Column(db.Integer)
sensitive_addr = db.Column(db.String(20))
def __repr__(self):
return '<sensitive_addr %r>' % self.sensitive_addr
class w_sensitive_post_t(db.Model):
__tablename__ = 'w_sensitive_post_t'
id = db.Column(db.Integer, primary_key=True)
addr = db.Column(db.Integer)
status = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<addr %r>' % self.addr
class w_source_asm_map(db.Model):
__tablename__ = 'w_source_asm_map'
id = db.Column(db.Integer, primary_key=True)
addr = db.Column(db.Integer)
aid = db.Column(db.Integer)
segment = db.Column(db.String(20))
info = db.Column(db.String(20))
def __repr__(self):
return '<addr %r>' % self.addr
class w_special_node_t(db.Model):
__tablename__ = 'w_special_node_t'
id = db.Column(db.Integer, primary_key=True)
addr = db.Column(db.Integer)
addrtype = db.Column(db.Integer)
taskid = db.Column(db.Integer)
aid = db.Column(db.Integer)
def __repr__(self):
return '<addr %r>' % self.addr
class w_trace_info_t(db.Model):
__tablename__ = 'w_trace_info_t'
trace_id = db.Column(db.Integer, primary_key=True)
trace_name = db.Column(db.String(100))
trace_file_addr = db.Column(db.String(100))
prefix_number = db.Column(db.Integer)
suffix_number = db.Column(db.Integer)
trace_state = db.Column(db.Integer)
convert_number = db.Column(db.Integer)
depth = db.Column(db.Integer, default=-1)
count = db.Column(db.Integer)
aid = db.Column(db.Integer)
sid = db.Column(db.Integer)
num = db.Column(db.Integer)
def __repr__(self):
return '<trace_name %r>' % self.trace_name
class w_constrain_info_t(db.Model):
constrain_name = db.Column(db.String(100))
constrain_file_addr = db.Column(db.String(500))
prefix_number = db.Column(db.Integer, default=0)
suffix_number = db.Column(db.Integer, default=0)
last_number = db.Column(db.Integer)
constrain_file_state = db.Column(db.Integer)
current_sample = db.Column(db.String(100))
aid = db.Column(db.Integer)
constrain_id = db.Column(db.Integer, primary_key=True)
convert_addr = db.Column(db.Integer)
def __repr__(self):
return '<constrain_name %r>' % self.constrain_name
class w_coverage_log_t(db.Model):
__tablename__ = 'w_coverage_log_t'
id = db.Column(db.Integer, primary_key=True)
log_time = db.Column(db.DateTime, default=datetime.now)
coverage = db.Column(db.String)
aid = db.Column(db.Integer)
def __repr__(self):
return '<id %r>' % self.id
# Auth Model
class User(db.Model):
__tablename__ = 'WEB_USER_T'
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(64), unique=True)
email = db.Column(db.String(64), unique=True)
pass_hash = db.Column(db.String(128))
# role_id = db.Column(db.Integer, db.ForeignKey('roles.id'))
user_confirm = db.Column(db.Boolean, default=False)
def __repr__(self):
return '<username %r>' % self.username
@property
def password(self):
raise AttributeError('password is not a readable attribute')
@password.setter
def password(self, password):
self.password_hash = generate_password_hash(password)
def verify_password(self, password):
return check_password_hash(self.password_hash, password)
| 32.543434
| 74
| 0.678192
| 2,369
| 16,109
| 4.350359
| 0.06374
| 0.201824
| 0.25228
| 0.301863
| 0.931011
| 0.916942
| 0.863866
| 0.856491
| 0.849117
| 0.84902
| 0
| 0.013893
| 0.18679
| 16,109
| 494
| 75
| 32.609312
| 0.772824
| 0.013471
| 0
| 0.783582
| 0
| 0
| 0.06082
| 0.004218
| 0
| 0
| 0
| 0
| 0
| 1
| 0.09204
| false
| 0.022388
| 0.007463
| 0.087065
| 0.99005
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 11
|
53304fca4bb87233c48620681f987247ff2bb89c
| 2,773
|
py
|
Python
|
pyaz/storage/account/private_endpoint_connection/__init__.py
|
py-az-cli/py-az-cli
|
9a7dc44e360c096a5a2f15595353e9dad88a9792
|
[
"MIT"
] | null | null | null |
pyaz/storage/account/private_endpoint_connection/__init__.py
|
py-az-cli/py-az-cli
|
9a7dc44e360c096a5a2f15595353e9dad88a9792
|
[
"MIT"
] | null | null | null |
pyaz/storage/account/private_endpoint_connection/__init__.py
|
py-az-cli/py-az-cli
|
9a7dc44e360c096a5a2f15595353e9dad88a9792
|
[
"MIT"
] | 1
|
2022-02-03T09:12:01.000Z
|
2022-02-03T09:12:01.000Z
|
from .... pyaz_utils import _call_az
def delete(account_name=None, id=None, name=None, resource_group=None, yes=None):
'''
Delete a private endpoint connection request for storage account.
Optional Parameters:
- account_name -- The storage account name.
- id -- The ID of the private endpoint connection associated with the Storage Account. You can get it using `az storage account show`.
- name -- The name of the private endpoint connection associated with the Storage Account.
- resource_group -- The resource group name of specified storage account.
- yes -- Do not prompt for confirmation.
'''
return _call_az("az storage account private-endpoint-connection delete", locals())
def show(account_name=None, id=None, name=None, resource_group=None):
'''
Show details of a private endpoint connection request for storage account.
Optional Parameters:
- account_name -- The storage account name.
- id -- The ID of the private endpoint connection associated with the Storage Account. You can get it using `az storage account show`.
- name -- The name of the private endpoint connection associated with the Storage Account.
- resource_group -- The resource group name of specified storage account.
'''
return _call_az("az storage account private-endpoint-connection show", locals())
def approve(account_name=None, description=None, id=None, name=None, resource_group=None):
'''
Approve a private endpoint connection request for storage account.
Optional Parameters:
- account_name -- The storage account name.
- description -- Comments for approve operation.
- id -- The ID of the private endpoint connection associated with the Storage Account. You can get it using `az storage account show`.
- name -- The name of the private endpoint connection associated with the Storage Account.
- resource_group -- The resource group name of specified storage account.
'''
return _call_az("az storage account private-endpoint-connection approve", locals())
def reject(account_name=None, description=None, id=None, name=None, resource_group=None):
'''
Reject a private endpoint connection request for storage account.
Optional Parameters:
- account_name -- The storage account name.
- description -- Comments for reject operation.
- id -- The ID of the private endpoint connection associated with the Storage Account. You can get it using `az storage account show`.
- name -- The name of the private endpoint connection associated with the Storage Account.
- resource_group -- The resource group name of specified storage account.
'''
return _call_az("az storage account private-endpoint-connection reject", locals())
| 48.649123
| 138
| 0.735305
| 370
| 2,773
| 5.437838
| 0.127027
| 0.194831
| 0.198807
| 0.079523
| 0.906561
| 0.906561
| 0.906561
| 0.906561
| 0.906561
| 0.880219
| 0
| 0
| 0.190408
| 2,773
| 56
| 139
| 49.517857
| 0.896214
| 0.676163
| 0
| 0
| 0
| 0
| 0.283602
| 0.145161
| 0
| 0
| 0
| 0
| 0
| 1
| 0.444444
| false
| 0
| 0.111111
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 9
|
535e06c5e277a9f31ce4aef6d1d1605ade4aa348
| 134
|
py
|
Python
|
can_tools/scrapers/official/FL/__init__.py
|
ChrisBremer/can-scrapers
|
a91123368f8473a2778c4efcc40855b2fd631306
|
[
"MIT"
] | null | null | null |
can_tools/scrapers/official/FL/__init__.py
|
ChrisBremer/can-scrapers
|
a91123368f8473a2778c4efcc40855b2fd631306
|
[
"MIT"
] | null | null | null |
can_tools/scrapers/official/FL/__init__.py
|
ChrisBremer/can-scrapers
|
a91123368f8473a2778c4efcc40855b2fd631306
|
[
"MIT"
] | null | null | null |
# from can_tools.scrapers.official.FL.fl_hospitals import FloridaHospital
from can_tools.scrapers.official.FL.fl_state import Florida
| 44.666667
| 73
| 0.865672
| 20
| 134
| 5.6
| 0.55
| 0.125
| 0.214286
| 0.357143
| 0.571429
| 0.571429
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0.067164
| 134
| 2
| 74
| 67
| 0.896
| 0.529851
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
72c70d092b9bc666ed98dea0411dafbeef718c45
| 12,801
|
py
|
Python
|
socket_com/UDPSocket.py
|
vineeths96/Federated-Learning
|
ef0b46385c421edcfca8fcbd24371a2d9b70fe78
|
[
"MIT"
] | null | null | null |
socket_com/UDPSocket.py
|
vineeths96/Federated-Learning
|
ef0b46385c421edcfca8fcbd24371a2d9b70fe78
|
[
"MIT"
] | null | null | null |
socket_com/UDPSocket.py
|
vineeths96/Federated-Learning
|
ef0b46385c421edcfca8fcbd24371a2d9b70fe78
|
[
"MIT"
] | null | null | null |
import io
import time
import torch
import socket
from seed import set_seed
UDP_DEBUG = False
BUFFER = 1024 * 64
class UDPServer:
def __init__(
self,
SERVER=socket.gethostbyname(socket.gethostname()),
PORT=5050,
NUM_CLIENTS=1,
TIMEOUT=5,
GRADIENT_SIZE=14728266,
CHUNK=100,
DELAY=5e-3,
SEED=42,
):
self.SERVER = SERVER
self.PORT = PORT
self.NUM_CLIENTS = NUM_CLIENTS
self.GRADIENT_SIZE = GRADIENT_SIZE
self.CHUNK = CHUNK
self.DELAY = DELAY
self.SEED = SEED
self.ADDR = (SERVER, PORT)
self.END_OF_MESSAGE = torch.tensor(float("inf"))
self.DEVICES = []
self.server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# self.SEND_BUF_SIZE = 4096
# self.RECV_BUF_SIZE = 4096
#
# self.server.setsockopt(
# socket.SOL_SOCKET,
# socket.SO_SNDBUF,
# self.SEND_BUF_SIZE)
# self.server.setsockopt(
# socket.SOL_SOCKET,
# socket.SO_RCVBUF,
# self.RECV_BUF_SIZE)
self.server.bind(self.ADDR)
self.server.settimeout(TIMEOUT)
self._indices_queue = []
self.accumulated_gradient = torch.zeros(self.GRADIENT_SIZE)
def encode(self, tensor):
file = io.BytesIO()
torch.save(tensor, file)
file.seek(0)
encoded = file.read()
return encoded
def decode(self, buffer):
tensor = torch.load(io.BytesIO(buffer))
return tensor
def send(self, tensor, addr):
messages = tensor.split(self.CHUNK)
for message in messages:
encoded_message = self.encode(message.clone())
self.server.sendto(encoded_message, addr)
time.sleep(self.DELAY)
self.send_EOT(addr)
def send_EOT(self, addr):
encoded_message = self.encode(self.END_OF_MESSAGE)
self.server.sendto(encoded_message, addr)
def send_TCP_EOT(self):
from TCPSocket import TCPClient
clientTCP = TCPClient(SERVER=SERVER_COMP, MSG_SIZE=MSG_SIZE, DELAY=DELAY)
clientTCP.send(self.END_OF_MESSAGE)
def receive(self):
buffer = []
readnext = True
msg, addr = None, None
try:
while readnext:
msg, addr = self.server.recvfrom(BUFFER)
try:
decoded_msg = self.decode(msg)
except:
continue
if not len(decoded_msg.shape) and torch.isinf(decoded_msg):
if addr not in self.DEVICES:
self.DEVICES.append(addr)
break
buffer.append(decoded_msg)
except:
if addr and addr not in self.DEVICES:
self.DEVICES.append(addr)
if len(buffer) > 1:
msg = torch.cat(buffer)
else:
msg = buffer[0]
print(f"[{addr}] {msg}")
indices = msg[:, 0].long()
gradient = msg[:, 1]
received_coordinates_fraction = gradient.nelement() / self.GRADIENT_SIZE
self.accumulated_gradient[indices] += 1 / received_coordinates_fraction * gradient
def start(self):
print(f"[LISTENING] Server is listening on {self.SERVER}")
try:
while True:
self.receive()
if len(self.DEVICES) < self.NUM_CLIENTS:
continue
accumulated_grad_indices = torch.vstack(
[torch.arange(self.GRADIENT_SIZE), self.accumulated_gradient]
).T
for client in self.DEVICES:
self.send(accumulated_grad_indices, client)
self.DEVICES = []
self.accumulated_gradient.zero_()
except KeyboardInterrupt:
self.stop()
def stop(self):
self.server.close()
class UDPClient:
def __init__(
self,
SERVER=socket.gethostbyname(socket.gethostname()),
PORT=5050,
TIMEOUT=5,
GRADIENT_SIZE=14728266,
CHUNK=100,
DELAY=5e-3,
SEED=42,
):
self.SERVER = SERVER
self.PORT = PORT
self.TIMEOUT = TIMEOUT
self.GRADIENT_SIZE = GRADIENT_SIZE
self.CHUNK = CHUNK
self.DELAY = DELAY
self.SEED = SEED
self.ADDR = (SERVER, PORT)
self.END_OF_MESSAGE = torch.tensor(float("inf"))
self.client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
def encode(self, tensor):
file = io.BytesIO()
torch.save(tensor, file)
file.seek(0)
encoded = file.read()
return encoded
def decode(self, buffer):
tensor = torch.load(io.BytesIO(buffer))
return tensor
def send(self, tensor):
messages = tensor.split(self.CHUNK)
for message in messages:
encoded_message = self.encode(message.clone())
self.client.sendto(encoded_message, self.ADDR)
time.sleep(self.DELAY)
self.send_EOT()
def send_EOT(self):
encoded_message = self.encode(self.END_OF_MESSAGE)
self.client.sendto(encoded_message, self.ADDR)
def receive(self):
buffer = []
readnext = True
try:
while readnext:
msg, addr = self.client.recvfrom(BUFFER)
try:
decoded_msg = self.decode(msg)
except:
continue
if not len(decoded_msg.shape) and torch.isinf(decoded_msg):
break
buffer.append(decoded_msg)
except socket.error:
pass
if len(buffer) > 1:
msg = torch.cat(buffer)
else:
msg = buffer[0]
# print(f"[{addr}] {msg}")
return msg
def receive_TCP_EOT(self):
from TCPSocket import TCPServer
server = TCPServer(SERVER=SERVER_COMP, MSG_SIZE=MSG_SIZE, DELAY=DELAY)
server.start()
class UDPKServer:
def __init__(
self,
SERVER=socket.gethostbyname(socket.gethostname()),
PORT=5050,
NUM_CLIENTS=1,
TIMEOUT=5,
GRADIENT_SIZE=14728266,
K=10000,
CHUNK=100,
DELAY=5e-3,
SEED=42,
):
self.SERVER = SERVER
self.PORT = PORT
self.NUM_CLIENTS = NUM_CLIENTS
self.K = K
self.GRADIENT_SIZE = GRADIENT_SIZE
self.CHUNK = CHUNK
self.DELAY = DELAY
self.SEED = SEED
self.ADDR = (SERVER, PORT)
self.END_OF_MESSAGE = torch.tensor(float("inf"))
self.DEVICES = []
self.server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# self.SEND_BUF_SIZE = 4096
# self.RECV_BUF_SIZE = 4096
#
# self.server.setsockopt(
# socket.SOL_SOCKET,
# socket.SO_SNDBUF,
# self.SEND_BUF_SIZE)
# self.server.setsockopt(
# socket.SOL_SOCKET,
# socket.SO_RCVBUF,
# self.RECV_BUF_SIZE)
self.server.bind(self.ADDR)
self.server.settimeout(TIMEOUT)
buffer_size = self.server.getsockopt(socket.SOL_SOCKET, socket.SO_SNDBUF)
print("Buffer size [After]:%d" % buffer_size)
self._indices_queue = []
self.accumulated_gradient = torch.zeros(self.GRADIENT_SIZE)
def encode(self, tensor):
file = io.BytesIO()
torch.save(tensor, file)
file.seek(0)
encoded = file.read()
return encoded
def decode(self, buffer):
tensor = torch.load(io.BytesIO(buffer))
return tensor
def send(self, tensor, addr):
messages = tensor.split(self.CHUNK)
for message in messages:
encoded_message = self.encode(message.clone())
self.server.sendto(encoded_message, addr)
time.sleep(self.DELAY)
self.send_EOT(addr)
def send_EOT(self, addr):
encoded_message = self.encode(self.END_OF_MESSAGE)
self.server.sendto(encoded_message, addr)
def send_TCP_EOT(self):
from TCPSocket import TCPClient
clientTCP = TCPClient(SERVER=SERVER_COMP, MSG_SIZE=MSG_SIZE, DELAY=DELAY)
clientTCP.send(self.END_OF_MESSAGE)
def receive(self):
buffer = []
readnext = True
msg, addr = None, None
try:
while readnext:
msg, addr = self.server.recvfrom(BUFFER)
# if addr not in self.DEVICES:
# self.DEVICES.append(addr)
try:
decoded_msg = self.decode(msg)
except:
continue
if not len(decoded_msg.shape) and torch.isinf(decoded_msg):
if addr not in self.DEVICES:
self.DEVICES.append(addr)
break
buffer.append(decoded_msg)
except socket.error:
if addr and addr not in self.DEVICES:
self.DEVICES.append(addr)
if len(buffer) > 1:
msg = torch.cat(buffer)
else:
msg = buffer[0]
print(f"[{addr}] {msg}")
indices = msg[:, 0].long()
gradient = msg[:, 1]
received_coordinates_fraction = gradient.nelement() / self.K
self.accumulated_gradient[indices] += 1 / received_coordinates_fraction * gradient
# time.sleep(self.DELAY)
# self.send(msg, addr)
def start(self):
print(f"[LISTENING] Server is listening on {self.SERVER}")
try:
while True:
self.receive()
if len(self.DEVICES) < self.NUM_CLIENTS:
continue
if not self._indices_queue:
set_seed(self.SEED)
self._indices_queue = torch.randperm(self.GRADIENT_SIZE).split(self.K)
self._indices_queue = list(self._indices_queue)
RandK_indices = self._indices_queue.pop().long()
RandK_flat_grad = self.accumulated_gradient[RandK_indices]
accumulated_grad_indices = torch.vstack([RandK_indices, RandK_flat_grad]).T
for client in self.DEVICES:
self.send(accumulated_grad_indices, client)
self.DEVICES = []
self.accumulated_gradient.zero_()
except KeyboardInterrupt:
self.stop()
def stop(self):
self.server.close()
class UDPKClient:
def __init__(
self,
SERVER=socket.gethostbyname(socket.gethostname()),
PORT=5050,
TIMEOUT=5,
GRADIENT_SIZE=14728266,
K=10000,
CHUNK=100,
DELAY=5e-3,
SEED=42,
):
self.SERVER = SERVER
self.PORT = PORT
self.TIMEOUT = TIMEOUT
self.GRADIENT_SIZE = GRADIENT_SIZE
self.K = K
self.CHUNK = CHUNK
self.DELAY = DELAY
self.SEED = SEED
self.ADDR = (SERVER, PORT)
self.END_OF_MESSAGE = torch.tensor(float("inf"))
self.client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
def encode(self, tensor):
file = io.BytesIO()
torch.save(tensor, file)
file.seek(0)
encoded = file.read()
return encoded
def decode(self, buffer):
tensor = torch.load(io.BytesIO(buffer))
return tensor
def send(self, tensor):
messages = tensor.split(self.CHUNK)
for message in messages:
encoded_message = self.encode(message.clone())
self.client.sendto(encoded_message, self.ADDR)
time.sleep(self.DELAY)
self.send_EOT()
def send_EOT(self):
encoded_message = self.encode(self.END_OF_MESSAGE)
self.client.sendto(encoded_message, self.ADDR)
def receive(self):
buffer = []
readnext = True
try:
while readnext:
msg, addr = self.client.recvfrom(BUFFER)
try:
decoded_msg = self.decode(msg)
except:
continue
if not len(decoded_msg.shape) and torch.isinf(decoded_msg):
break
buffer.append(decoded_msg)
except socket.error:
pass
if len(buffer) > 1:
msg = torch.cat(buffer)
else:
msg = buffer[0]
# print(f"[{addr}] {msg}")
return msg
def receive_TCP_EOT(self):
from TCPSocket import TCPServer
server = TCPServer(SERVER=SERVER_COMP, MSG_SIZE=MSG_SIZE, DELAY=DELAY)
server.start()
| 25.653307
| 91
| 0.553004
| 1,403
| 12,801
| 4.898076
| 0.104063
| 0.0422
| 0.028376
| 0.023283
| 0.933935
| 0.924331
| 0.908906
| 0.908906
| 0.907305
| 0.888097
| 0
| 0.015913
| 0.352004
| 12,801
| 498
| 92
| 25.704819
| 0.812538
| 0.049059
| 0
| 0.925816
| 0
| 0
| 0.013011
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.094955
| false
| 0.005935
| 0.026706
| 0
| 0.163205
| 0.014837
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
72e1276a03c563e896c49f5855892246c526fe5d
| 2,283
|
py
|
Python
|
tests/test_pie.py
|
andrewtavis/stdviz
|
8dd575d579a62c2afdb83e1d05ce03ac98db6ce1
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_pie.py
|
andrewtavis/stdviz
|
8dd575d579a62c2afdb83e1d05ce03ac98db6ce1
|
[
"BSD-3-Clause"
] | 13
|
2021-02-11T16:19:03.000Z
|
2021-10-20T18:59:34.000Z
|
tests/test_pie.py
|
andrewtavis/stdviz
|
8dd575d579a62c2afdb83e1d05ce03ac98db6ce1
|
[
"BSD-3-Clause"
] | 1
|
2021-03-17T03:35:45.000Z
|
2021-03-17T03:35:45.000Z
|
"""
Pie Plot Tests
--------------
"""
import matplotlib.pyplot as plt
import pltviz
import pytest
def test_pie(
monkeypatch,
allocations,
factioned_allocations,
parties,
faction_labels,
party_colors,
):
monkeypatch.setattr(plt, "show", lambda: None)
pltviz.pie(
counts=allocations,
labels=None,
faction_labels=None,
colors=None,
radius=1,
outer_ring_density=100,
donut_ratio=1,
display_labels=False,
display_counts=False,
label_font_size=20,
axis=None,
)
pltviz.pie(
counts=allocations,
labels=parties,
faction_labels=None,
colors=party_colors,
radius=1,
outer_ring_density=100,
donut_ratio=1,
display_labels=False,
display_counts=False,
label_font_size=20,
axis=None,
)
pltviz.pie(
counts=allocations,
labels=parties,
faction_labels=None,
colors=party_colors,
radius=1,
outer_ring_density=100,
donut_ratio=1,
display_labels=True,
display_counts=True,
label_font_size=20,
axis=None,
)
with pytest.raises(AssertionError):
pltviz.pie(
counts=allocations,
labels=parties,
faction_labels=faction_labels,
colors=party_colors,
radius=1,
outer_ring_density=100,
donut_ratio=1,
display_labels=True,
display_counts=True,
label_font_size=20,
axis=None,
)
pltviz.pie(
counts=factioned_allocations,
labels=parties,
faction_labels=faction_labels,
colors=party_colors,
radius=1,
outer_ring_density=100,
donut_ratio=1,
display_labels=False,
display_counts=False,
label_font_size=20,
axis=None,
)
pltviz.pie(
counts=factioned_allocations,
labels=parties,
faction_labels=faction_labels,
colors=party_colors,
radius=1,
outer_ring_density=100,
donut_ratio=1,
display_labels=True,
display_counts=True,
label_font_size=20,
axis=None,
)
| 21.951923
| 50
| 0.576435
| 236
| 2,283
| 5.313559
| 0.186441
| 0.103668
| 0.095694
| 0.076555
| 0.810207
| 0.810207
| 0.781499
| 0.781499
| 0.769537
| 0.769537
| 0
| 0.027851
| 0.339466
| 2,283
| 103
| 51
| 22.165049
| 0.803714
| 0.012703
| 0
| 0.769231
| 0
| 0
| 0.001781
| 0
| 0
| 0
| 0
| 0
| 0.010989
| 1
| 0.010989
| false
| 0
| 0.032967
| 0
| 0.043956
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
72f22d7797a382607420cd16b31431e95dd7350b
| 118
|
py
|
Python
|
backend/models/user.py
|
hillcrestpaul0719/borz-server
|
faae966b6138723ee88e80ea6dfe242809ad0a87
|
[
"Apache-2.0"
] | null | null | null |
backend/models/user.py
|
hillcrestpaul0719/borz-server
|
faae966b6138723ee88e80ea6dfe242809ad0a87
|
[
"Apache-2.0"
] | 24
|
2021-01-04T12:16:40.000Z
|
2021-07-23T12:17:34.000Z
|
backend/models/user.py
|
hillcrestpaul0719/borz-server
|
faae966b6138723ee88e80ea6dfe242809ad0a87
|
[
"Apache-2.0"
] | null | null | null |
from django.db import models
from django.contrib.auth.models import AbstractUser
class User(AbstractUser):
pass
| 16.857143
| 51
| 0.79661
| 16
| 118
| 5.875
| 0.6875
| 0.212766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144068
| 118
| 6
| 52
| 19.666667
| 0.930693
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.5
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
72fa6a85bddb3b6613bfc780111f844999aeb4e0
| 6,819
|
py
|
Python
|
simulator/simp_py/SmallFont.py
|
kcfkwok2003/Simp_py
|
f75e66da01b45dc8688dda602f8b33d4258f0c31
|
[
"MIT"
] | null | null | null |
simulator/simp_py/SmallFont.py
|
kcfkwok2003/Simp_py
|
f75e66da01b45dc8688dda602f8b33d4258f0c31
|
[
"MIT"
] | null | null | null |
simulator/simp_py/SmallFont.py
|
kcfkwok2003/Simp_py
|
f75e66da01b45dc8688dda602f8b33d4258f0c31
|
[
"MIT"
] | null | null | null |
# SmallFont.c
# Font type : Full (95 characters)
# Font size : 8x12 pixels
# Memory usage : 1144 bytes
#if defined(__AVR__)
#include <avr/pgmspace.h>
#define fontdatatype const uint8_t
#elif defined(__PIC32MX__)
#define PROGMEM
#define fontdatatype const unsigned char
#elif defined(__arm__)
#define PROGMEM
#define fontdatatype const unsigned char
#endif
tft_SmallFont=[
0x08,0x0C,0x20,0x5F,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00, # <space>
0x00,0x00,0x20,0x20,0x20,0x20,0x20,0x20,0x00,0x20,0x00,0x00, # !
0x00,0x28,0x50,0x50,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00, # "
0x00,0x00,0x28,0x28,0xFC,0x28,0x50,0xFC,0x50,0x50,0x00,0x00, # #
0x00,0x20,0x78,0xA8,0xA0,0x60,0x30,0x28,0xA8,0xF0,0x20,0x00, # $
0x00,0x00,0x48,0xA8,0xB0,0x50,0x28,0x34,0x54,0x48,0x00,0x00, # %
0x00,0x00,0x20,0x50,0x50,0x78,0xA8,0xA8,0x90,0x6C,0x00,0x00, # &
0x00,0x40,0x40,0x80,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00, # '
0x00,0x04,0x08,0x10,0x10,0x10,0x10,0x10,0x10,0x08,0x04,0x00, # (
0x00,0x40,0x20,0x10,0x10,0x10,0x10,0x10,0x10,0x20,0x40,0x00, # )
0x00,0x00,0x00,0x20,0xA8,0x70,0x70,0xA8,0x20,0x00,0x00,0x00, # *
0x00,0x00,0x20,0x20,0x20,0xF8,0x20,0x20,0x20,0x00,0x00,0x00, # +
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x40,0x40,0x80, # ,
0x00,0x00,0x00,0x00,0x00,0xF8,0x00,0x00,0x00,0x00,0x00,0x00, # -
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x40,0x00,0x00, # .
0x00,0x08,0x10,0x10,0x10,0x20,0x20,0x40,0x40,0x40,0x80,0x00, # /
0x00,0x00,0x70,0x88,0x88,0x88,0x88,0x88,0x88,0x70,0x00,0x00, # 0
0x00,0x00,0x20,0x60,0x20,0x20,0x20,0x20,0x20,0x70,0x00,0x00, # 1
0x00,0x00,0x70,0x88,0x88,0x10,0x20,0x40,0x80,0xF8,0x00,0x00, # 2
0x00,0x00,0x70,0x88,0x08,0x30,0x08,0x08,0x88,0x70,0x00,0x00, # 3
0x00,0x00,0x10,0x30,0x50,0x50,0x90,0x78,0x10,0x18,0x00,0x00, # 4
0x00,0x00,0xF8,0x80,0x80,0xF0,0x08,0x08,0x88,0x70,0x00,0x00, # 5
0x00,0x00,0x70,0x90,0x80,0xF0,0x88,0x88,0x88,0x70,0x00,0x00, # 6
0x00,0x00,0xF8,0x90,0x10,0x20,0x20,0x20,0x20,0x20,0x00,0x00, # 7
0x00,0x00,0x70,0x88,0x88,0x70,0x88,0x88,0x88,0x70,0x00,0x00, # 8
0x00,0x00,0x70,0x88,0x88,0x88,0x78,0x08,0x48,0x70,0x00,0x00, # 9
0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x20,0x00,0x00, # :
0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x20,0x20,0x00, # ;
0x00,0x04,0x08,0x10,0x20,0x40,0x20,0x10,0x08,0x04,0x00,0x00, # <
0x00,0x00,0x00,0x00,0xF8,0x00,0x00,0xF8,0x00,0x00,0x00,0x00, # =
0x00,0x40,0x20,0x10,0x08,0x04,0x08,0x10,0x20,0x40,0x00,0x00, # >
0x00,0x00,0x70,0x88,0x88,0x10,0x20,0x20,0x00,0x20,0x00,0x00, # ?
0x00,0x00,0x70,0x88,0x98,0xA8,0xA8,0xB8,0x80,0x78,0x00,0x00, # @
0x00,0x00,0x20,0x20,0x30,0x50,0x50,0x78,0x48,0xCC,0x00,0x00, # A
0x00,0x00,0xF0,0x48,0x48,0x70,0x48,0x48,0x48,0xF0,0x00,0x00, # B
0x00,0x00,0x78,0x88,0x80,0x80,0x80,0x80,0x88,0x70,0x00,0x00, # C
0x00,0x00,0xF0,0x48,0x48,0x48,0x48,0x48,0x48,0xF0,0x00,0x00, # D
0x00,0x00,0xF8,0x48,0x50,0x70,0x50,0x40,0x48,0xF8,0x00,0x00, # E
0x00,0x00,0xF8,0x48,0x50,0x70,0x50,0x40,0x40,0xE0,0x00,0x00, # F
0x00,0x00,0x38,0x48,0x80,0x80,0x9C,0x88,0x48,0x30,0x00,0x00, # G
0x00,0x00,0xCC,0x48,0x48,0x78,0x48,0x48,0x48,0xCC,0x00,0x00, # H
0x00,0x00,0xF8,0x20,0x20,0x20,0x20,0x20,0x20,0xF8,0x00,0x00, # I
0x00,0x00,0x7C,0x10,0x10,0x10,0x10,0x10,0x10,0x90,0xE0,0x00, # J
0x00,0x00,0xEC,0x48,0x50,0x60,0x50,0x50,0x48,0xEC,0x00,0x00, # K
0x00,0x00,0xE0,0x40,0x40,0x40,0x40,0x40,0x44,0xFC,0x00,0x00, # L
0x00,0x00,0xD8,0xD8,0xD8,0xD8,0xA8,0xA8,0xA8,0xA8,0x00,0x00, # M
0x00,0x00,0xDC,0x48,0x68,0x68,0x58,0x58,0x48,0xE8,0x00,0x00, # N
0x00,0x00,0x70,0x88,0x88,0x88,0x88,0x88,0x88,0x70,0x00,0x00, # O
0x00,0x00,0xF0,0x48,0x48,0x70,0x40,0x40,0x40,0xE0,0x00,0x00, # P
0x00,0x00,0x70,0x88,0x88,0x88,0x88,0xE8,0x98,0x70,0x18,0x00, # Q
0x00,0x00,0xF0,0x48,0x48,0x70,0x50,0x48,0x48,0xEC,0x00,0x00, # R
0x00,0x00,0x78,0x88,0x80,0x60,0x10,0x08,0x88,0xF0,0x00,0x00, # S
0x00,0x00,0xF8,0xA8,0x20,0x20,0x20,0x20,0x20,0x70,0x00,0x00, # T
0x00,0x00,0xCC,0x48,0x48,0x48,0x48,0x48,0x48,0x30,0x00,0x00, # U
0x00,0x00,0xCC,0x48,0x48,0x50,0x50,0x30,0x20,0x20,0x00,0x00, # V
0x00,0x00,0xA8,0xA8,0xA8,0x70,0x50,0x50,0x50,0x50,0x00,0x00, # W
0x00,0x00,0xD8,0x50,0x50,0x20,0x20,0x50,0x50,0xD8,0x00,0x00, # X
0x00,0x00,0xD8,0x50,0x50,0x20,0x20,0x20,0x20,0x70,0x00,0x00, # Y
0x00,0x00,0xF8,0x90,0x10,0x20,0x20,0x40,0x48,0xF8,0x00,0x00, # Z
0x00,0x38,0x20,0x20,0x20,0x20,0x20,0x20,0x20,0x20,0x38,0x00, # [
0x00,0x40,0x40,0x40,0x20,0x20,0x10,0x10,0x10,0x08,0x00,0x00, # <backslash>
0x00,0x70,0x10,0x10,0x10,0x10,0x10,0x10,0x10,0x10,0x70,0x00, # ]
0x00,0x20,0x50,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00, # ^
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xFC, # _
0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00, # `
0x00,0x00,0x00,0x00,0x00,0x30,0x48,0x38,0x48,0x3C,0x00,0x00, # a
0x00,0x00,0xC0,0x40,0x40,0x70,0x48,0x48,0x48,0x70,0x00,0x00, # b
0x00,0x00,0x00,0x00,0x00,0x38,0x48,0x40,0x40,0x38,0x00,0x00, # c
0x00,0x00,0x18,0x08,0x08,0x38,0x48,0x48,0x48,0x3C,0x00,0x00, # d
0x00,0x00,0x00,0x00,0x00,0x30,0x48,0x78,0x40,0x38,0x00,0x00, # e
0x00,0x00,0x1C,0x20,0x20,0x78,0x20,0x20,0x20,0x78,0x00,0x00, # f
0x00,0x00,0x00,0x00,0x00,0x3C,0x48,0x30,0x40,0x78,0x44,0x38, # g
0x00,0x00,0xC0,0x40,0x40,0x70,0x48,0x48,0x48,0xEC,0x00,0x00, # h
0x00,0x00,0x20,0x00,0x00,0x60,0x20,0x20,0x20,0x70,0x00,0x00, # i
0x00,0x00,0x10,0x00,0x00,0x30,0x10,0x10,0x10,0x10,0x10,0xE0, # j
0x00,0x00,0xC0,0x40,0x40,0x5C,0x50,0x70,0x48,0xEC,0x00,0x00, # k
0x00,0x00,0xE0,0x20,0x20,0x20,0x20,0x20,0x20,0xF8,0x00,0x00, # l
0x00,0x00,0x00,0x00,0x00,0xF0,0xA8,0xA8,0xA8,0xA8,0x00,0x00, # m
0x00,0x00,0x00,0x00,0x00,0xF0,0x48,0x48,0x48,0xEC,0x00,0x00, # n
0x00,0x00,0x00,0x00,0x00,0x30,0x48,0x48,0x48,0x30,0x00,0x00, # o
0x00,0x00,0x00,0x00,0x00,0xF0,0x48,0x48,0x48,0x70,0x40,0xE0, # p
0x00,0x00,0x00,0x00,0x00,0x38,0x48,0x48,0x48,0x38,0x08,0x1C, # q
0x00,0x00,0x00,0x00,0x00,0xD8,0x60,0x40,0x40,0xE0,0x00,0x00, # r
0x00,0x00,0x00,0x00,0x00,0x78,0x40,0x30,0x08,0x78,0x00,0x00, # s
0x00,0x00,0x00,0x20,0x20,0x70,0x20,0x20,0x20,0x18,0x00,0x00, # t
0x00,0x00,0x00,0x00,0x00,0xD8,0x48,0x48,0x48,0x3C,0x00,0x00, # u
0x00,0x00,0x00,0x00,0x00,0xEC,0x48,0x50,0x30,0x20,0x00,0x00, # v
0x00,0x00,0x00,0x00,0x00,0xA8,0xA8,0x70,0x50,0x50,0x00,0x00, # w
0x00,0x00,0x00,0x00,0x00,0xD8,0x50,0x20,0x50,0xD8,0x00,0x00, # x
0x00,0x00,0x00,0x00,0x00,0xEC,0x48,0x50,0x30,0x20,0x20,0xC0, # y
0x00,0x00,0x00,0x00,0x00,0x78,0x10,0x20,0x20,0x78,0x00,0x00, # z
0x00,0x18,0x10,0x10,0x10,0x20,0x10,0x10,0x10,0x10,0x18,0x00, # {
0x10,0x10,0x10,0x10,0x10,0x10,0x10,0x10,0x10,0x10,0x10,0x10, # |
0x00,0x60,0x20,0x20,0x20,0x10,0x20,0x20,0x20,0x20,0x60,0x00, # }
0x40,0xA4,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00, # ~
]
| 56.825
| 76
| 0.725033
| 1,258
| 6,819
| 3.918124
| 0.091415
| 0.525867
| 0.423615
| 0.421992
| 0.736052
| 0.56198
| 0.403327
| 0.273483
| 0.213836
| 0.13309
| 0
| 0.532
| 0.083443
| 6,819
| 119
| 77
| 57.302521
| 0.25664
| 0.078897
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| 0
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| 0
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| 0
| 1
| 0.756239
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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|
0
| 7
|
f411385e97d884b04a33b463333dbc323e8f13d0
| 18,611
|
py
|
Python
|
opts.py
|
GibranBenitez/Real-time-GesRec
|
2c24ea75cb9373c310f3fe903ef9512da5d65385
|
[
"MIT"
] | null | null | null |
opts.py
|
GibranBenitez/Real-time-GesRec
|
2c24ea75cb9373c310f3fe903ef9512da5d65385
|
[
"MIT"
] | null | null | null |
opts.py
|
GibranBenitez/Real-time-GesRec
|
2c24ea75cb9373c310f3fe903ef9512da5d65385
|
[
"MIT"
] | null | null | null |
import argparse
def parse_opts_offline():
# Offline means not real time
parser = argparse.ArgumentParser()
parser.add_argument(
'--root_path',
default='/root/data/ActivityNet',
type=str,
help='Root directory path of data')
parser.add_argument(
'--video_path',
default='video_kinetics_jpg',
type=str,
help='Directory path of Videos')
parser.add_argument(
'--annotation_path',
default='kinetics.json',
type=str,
help='Annotation file path')
parser.add_argument(
'--result_path',
default='results',
type=str,
help='Result directory path')
parser.add_argument(
'--store_name',
default='model',
type=str,
help='Name to store checkpoints')
parser.add_argument(
'--modality',
default='RGB',
type=str,
help='Modality of input data. RGB, Depth, or RGB-D')
parser.add_argument(
'--dataset',
default='kinetics',
type=str,
help='Used dataset (activitynet | kinetics | ucf101 | hmdb51)')
parser.add_argument(
'--n_classes',
default=400,
type=int,
help=
'Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)')
parser.add_argument(
'--n_finetune_classes',
default=400,
type=int,
help=
'Number of classes for fine-tuning. n_classes is set to the number when pretraining.')
parser.add_argument(
'--sample_size',
default=112,
type=int,
help='Height and width of inputs')
parser.add_argument(
'--sample_duration',
default=16,
type=int,
help='Temporal duration of inputs')
parser.add_argument(
'--initial_scale',
default=1.0,
type=float,
help='Initial scale for multiscale cropping')
parser.add_argument(
'--n_scales',
default=5,
type=int,
help='Number of scales for multiscale cropping')
parser.add_argument(
'--scale_step',
default=0.84089641525,
type=float,
help='Scale step for multiscale cropping')
parser.add_argument(
'--train_crop',
default='corner',
type=str,
help=
'Spatial cropping method in training. random is uniform. corner is selection from 4 corners and 1 center. (random | corner | center)')
parser.add_argument(
'--learning_rate',
default=0.1,
type=float,
help=
'Initial learning rate (divided by 10 while training by lr scheduler)')
parser.add_argument(
'--lr_steps',
default=[10, 25, 50, 80, 100],
type=float, nargs="+",
metavar='LRSteps',
help='epochs to decay learning rate by 10')
parser.add_argument(
'--momentum',
default=0.9,
type=float,
help='Momentum')
parser.add_argument(
'--dampening',
default=0.9,
type=float,
help='dampening of SGD')
parser.add_argument(
'--weight_decay',
default=1e-3,
type=float,
help='Weight Decay')
parser.add_argument(
'--mean_dataset',
default='activitynet',
type=str,
help=
'dataset for mean values of mean subtraction (activitynet | kinetics)')
parser.add_argument(
'--no_mean_norm',
action='store_true',
help='If true, inputs are not normalized by mean.')
parser.set_defaults(no_mean_norm=False)
parser.add_argument(
'--std_norm',
action='store_true',
help='If true, inputs are normalized by standard deviation.')
parser.set_defaults(std_norm=False)
parser.add_argument(
'--nesterov', action='store_true', help='Nesterov momentum')
parser.set_defaults(nesterov=False)
parser.add_argument(
'--optimizer',
default='sgd',
type=str,
help='Currently only support SGD')
parser.add_argument(
'--lr_patience',
default=10,
type=int,
help='Patience of LR scheduler. See documentation of ReduceLROnPlateau.')
parser.add_argument(
'--batch_size',
default=128,
type=int,
help='Batch Size')
parser.add_argument(
'--n_epochs',
default=200,
type=int,
help='Number of total epochs to run')
parser.add_argument(
'--begin_epoch',
default=1,
type=int,
help=
'Training begins at this epoch. Previous trained model indicated by resume_path is loaded.')
parser.add_argument(
'--n_val_samples',
default=3,
type=int,
help='Number of validation samples for each activity')
parser.add_argument(
'--resume_path',
default='',
type=str,
help='Save data (.pth) of previous training')
parser.add_argument(
'--pretrain_path',
default='',
type=str,
help='Pretrained model (.pth)')
parser.add_argument(
'--pretrain_dataset',
default='',
type=str,
help='dataset from pretrained model')
parser.add_argument(
'--ft_begin_index',
default=0,
type=int,
help='Begin block index of fine-tuning')
parser.add_argument(
'--no_train',
action='store_true',
help='If true, training is not performed.')
parser.set_defaults(no_train=False)
parser.add_argument(
'--no_val',
action='store_true',
help='If true, validation is not performed.')
parser.set_defaults(no_val=False)
parser.add_argument(
'--test',
action='store_true',
help='If true, test is performed.')
parser.set_defaults(test=False)
parser.add_argument(
'--test_subset',
default='val',
type=str,
help='Used subset in test (val | test)')
parser.add_argument(
'--train_validate',
action='store_true',
help='If true, test is performed.')
parser.set_defaults(train_validate=False)
parser.add_argument(
'--scale_in_test',
default=1.0,
type=float,
help='Spatial scale in test')
parser.add_argument(
'--crop_position_in_test',
default='c',
type=str,
help='Cropping method (c | tl | tr | bl | br) in test')
parser.add_argument(
'--no_softmax_in_test',
action='store_true',
help='If true, output for each clip is not normalized using softmax.')
parser.set_defaults(no_softmax_in_test=False)
parser.add_argument(
'--no_cuda', action='store_true', help='If true, cuda is not used.')
parser.set_defaults(no_cuda=False)
parser.add_argument(
'--n_threads',
default=4,
type=int,
help='Number of threads for multi-thread loading')
parser.add_argument(
'--checkpoint',
default=10,
type=int,
help='Trained model is saved at every this epochs.')
parser.add_argument(
'--no_hflip',
action='store_true',
help='If true holizontal flipping is not performed.')
parser.set_defaults(no_hflip=False)
parser.add_argument(
'--norm_value',
default=1,
type=int,
help=
'If 1, range of inputs is [0-255]. If 255, range of inputs is [0-1].')
parser.add_argument(
'--model',
default='resnet',
type=str,
help='(resnet | preresnet | wideresnet | resnext | densenet | ')
parser.add_argument(
'--model_depth',
default=18,
type=int,
help='Depth of resnet (10 | 18 | 34 | 50 | 101)')
parser.add_argument(
'--resnet_shortcut',
default='B',
type=str,
help='Shortcut type of resnet (A | B)')
parser.add_argument(
'--wide_resnet_k',
default=2,
type=int,
help='Wide resnet k')
parser.add_argument(
'--resnext_cardinality',
default=32,
type=int,
help='ResNeXt cardinality')
parser.add_argument(
'--manual_seed',
default=1,
type=int,
help='Manually set random seed')
parser.add_argument(
'--weighted',
action='store_true',
help='If true, loss is weighted')
parser.set_defaults(weighted=False)
args = parser.parse_args()
return args
def parse_opts_online():
# Real-time test arguments with detector and classifier architecture
parser = argparse.ArgumentParser()
parser.add_argument('--root_path', default='/root/data/ActivityNet', type=str, help='Root directory path of data')
parser.add_argument('--video_path', default='video_kinetics_jpg', type=str, help='Directory path of Videos')
parser.add_argument('--whole_path', default='video_kinetics_jpg', type=str, help='The whole path of Videos')
parser.add_argument('--annotation_path', default='kinetics.json', type=str, help='Annotation file path')
parser.add_argument('--result_path', default='results', type=str, help='Result directory path')
parser.add_argument('--store_name', default='model', type=str, help='Name to store checkpoints')
parser.add_argument('--modality', default='RGB', type=str, help='Modality of input data. RGB, Flow or RGBFlow')
parser.add_argument('--modality_det', default='RGB', type=str, help='Modality of input data. RGB, Flow or RGBFlow')
parser.add_argument('--modality_clf', default='RGB', type=str, help='Modality of input data. RGB, Flow or RGBFlow')
parser.add_argument('--dataset', default='kinetics', type=str, help='Used dataset (activitynet | kinetics | ucf101 | hmdb51)')
parser.add_argument('--n_classes_det', default=400, type=int, help='Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)')
parser.add_argument('--n_finetune_classes_det', default=400, type=int, help='Number of classes for fine-tuning. n_classes is set to the number when pretraining.')
parser.add_argument('--n_classes_clf', default=400, type=int, help='Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)')
parser.add_argument('--n_finetune_classes_clf', default=400, type=int, help='Number of classes for fine-tuning. n_classes is set to the number when pretraining.')
parser.add_argument('--n_classes', default=400, type=int, help='Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)')
parser.add_argument('--n_finetune_classes', default=400, type=int, help='Number of classes for fine-tuning. n_classes is set to the number when pretraining.')
parser.add_argument('--sample_size', default=112, type=int, help='Height and width of inputs')
parser.add_argument('--sample_duration_det', default=16, type=int, help='Temporal duration of inputs')
parser.add_argument('--sample_duration_clf', default=16, type=int, help='Temporal duration of inputs')
parser.add_argument('--sample_duration', default=16, type=int, help='Temporal duration of inputs')
parser.add_argument('--initial_scale', default=1.0, type=float, help='Initial scale for multiscale cropping')
parser.add_argument('--n_scales', default=5, type=int, help='Number of scales for multiscale cropping')
parser.add_argument('--scale_step', default=0.84089641525, type=float, help='Scale step for multiscale cropping')
parser.add_argument('--train_crop', default='corner', type=str, help='Spatial cropping method in training. random is uniform. corner is selection from 4 corners and 1 center. (random | corner | center)')
parser.add_argument('--learning_rate', default=0.1, type=float, help='Initial learning rate (divided by 10 while training by lr scheduler)')
parser.add_argument('--lr_steps', default=[10, 20, 30, 40, 100], type=float, nargs="+", metavar='LRSteps', help='epochs to decay learning rate by 10')
parser.add_argument('--momentum', default=0.9, type=float, help='Momentum')
parser.add_argument('--dampening', default=0.9, type=float, help='dampening of SGD')
parser.add_argument('--weight_decay', default=1e-3, type=float, help='Weight Decay')
parser.add_argument('--mean_dataset', default='activitynet', type=str, help='dataset for mean values of mean subtraction (activitynet | kinetics)')
parser.add_argument('--no_mean_norm', action='store_true', help='If true, inputs are not normalized by mean.')
parser.set_defaults(no_mean_norm=False)
parser.add_argument('--std_norm', action='store_true', help='If true, inputs are normalized by standard deviation.')
parser.set_defaults(std_norm=False)
parser.add_argument('--nesterov', action='store_true', help='Nesterov momentum')
parser.set_defaults(nesterov=False)
parser.add_argument('--optimizer', default='sgd', type=str, help='Currently only support SGD')
parser.add_argument('--lr_patience', default=10, type=int, help='Patience of LR scheduler. See documentation of ReduceLROnPlateau.')
parser.add_argument('--batch_size', default=128, type=int, help='Batch Size')
parser.add_argument('--n_epochs', default=200, type=int, help='Number of total epochs to run')
parser.add_argument('--begin_epoch', default=1, type=int, help='Training begins at this epoch. Previous trained model indicated by resume_path is loaded.')
parser.add_argument('--n_val_samples', default=3, type=int, help='Number of validation samples for each activity')
parser.add_argument('--resume_path_det', default='', type=str, help='Save data (.pth) of previous training')
parser.add_argument('--resume_path_clf', default='', type=str, help='Save data (.pth) of previous training')
parser.add_argument('--resume_path', default='', type=str, help='Save data (.pth) of previous training')
parser.add_argument('--pretrain_path_det', default='', type=str, help='Pretrained model (.pth)')
parser.add_argument('--pretrain_path_clf', default='', type=str, help='Pretrained model (.pth)')
parser.add_argument('--pretrain_path', default='', type=str, help='Pretrained model (.pth)')
parser.add_argument('--ft_begin_index', default=0, type=int, help='Begin block index of fine-tuning')
parser.add_argument('--no_train', action='store_true', help='If true, training is not performed.')
parser.set_defaults(no_train=False)
parser.add_argument('--no_val', action='store_true', help='If true, validation is not performed.')
parser.set_defaults(no_val=False)
parser.add_argument('--test', action='store_true', help='If true, test is performed.')
parser.set_defaults(test=True)
parser.add_argument('--test_subset', default='val', type=str, help='Used subset in test (val | test)')
parser.add_argument('--scale_in_test', default=1.0, type=float, help='Spatial scale in test')
parser.add_argument('--crop_position_in_test', default='c', type=str, help='Cropping method (c | tl | tr | bl | br) in test')
parser.add_argument('--no_softmax_in_test', action='store_true', help='If true, output for each clip is not normalized using softmax.')
parser.set_defaults(no_softmax_in_test=False)
parser.add_argument('--no_cuda', action='store_true', help='If true, cuda is not used.')
parser.set_defaults(no_cuda=False)
parser.add_argument('--n_threads', default=4, type=int, help='Number of threads for multi-thread loading')
parser.add_argument('--checkpoint', default=10, type=int, help='Trained model is saved at every this epochs.')
parser.add_argument('--no_hflip', action='store_true', help='If true holizontal flipping is not performed.')
parser.set_defaults(no_hflip=False)
parser.add_argument('--norm_value', default=1, type=int, help='If 1, range of inputs is [0-255]. If 255, range of inputs is [0-1].')
parser.add_argument('--model_det', default='resnet', type=str, help='(resnet | preresnet | wideresnet | resnext | densenet | ')
parser.add_argument('--model_depth_det', default=18, type=int, help='Depth of resnet (10 | 18 | 34 | 50 | 101)')
parser.add_argument('--resnet_shortcut_det', default='B', type=str, help='Shortcut type of resnet (A | B)')
parser.add_argument('--wide_resnet_k_det', default=2, type=int, help='Wide resnet k')
parser.add_argument('--resnext_cardinality_det', default=32, type=int, help='ResNeXt cardinality')
parser.add_argument('--model', default='resnet', type=str, help='(resnet | preresnet | wideresnet | resnext | densenet | ')
parser.add_argument('--model_depth', default=18, type=int, help='Depth of resnet (10 | 18 | 34 | 50 | 101)')
parser.add_argument('--resnet_shortcut', default='B', type=str, help='Shortcut type of resnet (A | B)')
parser.add_argument('--wide_resnet_k', default=2, type=int, help='Wide resnet k')
parser.add_argument('--resnext_cardinality', default=32, type=int, help='ResNeXt cardinality')
parser.add_argument('--model_clf', default='resnet', type=str, help='(resnet | preresnet | wideresnet | resnext | densenet | ')
parser.add_argument('--model_depth_clf', default=18, type=int, help='Depth of resnet (10 | 18 | 34 | 50 | 101)')
parser.add_argument('--resnet_shortcut_clf', default='B', type=str, help='Shortcut type of resnet (A | B)')
parser.add_argument('--wide_resnet_k_clf', default=2, type=int, help='Wide resnet k')
parser.add_argument('--resnext_cardinality_clf', default=32, type=int, help='ResNeXt cardinality')
parser.add_argument('--manual_seed', default=1, type=int, help='Manually set random seed')
parser.add_argument('--det_strategy', default='raw', type=str, help='Detector filter (raw | median | ma | ewma)')
parser.add_argument('--det_queue_size', default=1, type=int, help='Detector queue size')
parser.add_argument('--det_counter', default=1, type=float, help='Number of consequtive detection')
parser.add_argument('--clf_strategy', default='raw', type=str, help='Classifier filter (raw | median | ma | ewma)')
parser.add_argument('--clf_queue_size', default=1, type=int, help='Classifier queue size')
parser.add_argument('--clf_threshold_pre', default=1, type=float, help='Cumulative sum threshold to prepredict')
parser.add_argument('--clf_threshold_final', default=1, type=float, help='Cumulative sum threshold to predict at the end')
parser.add_argument('--stride_len', default=1, type=int, help='Stride Lenght of video loader window')
args = parser.parse_args()
return args
| 47.356234
| 208
| 0.656117
| 2,424
| 18,611
| 4.881601
| 0.108086
| 0.10344
| 0.195386
| 0.032114
| 0.95428
| 0.942618
| 0.929688
| 0.924956
| 0.915322
| 0.907716
| 0
| 0.021529
| 0.20633
| 18,611
| 392
| 209
| 47.477041
| 0.779568
| 0.005105
| 0
| 0.40107
| 0
| 0.010695
| 0.415244
| 0.018096
| 0
| 0
| 0
| 0
| 0
| 1
| 0.005348
| false
| 0
| 0.002674
| 0
| 0.013369
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
be481928df6b1e48d3dc926e3fe7884c72edc0b1
| 155
|
py
|
Python
|
loldib/getratings/models/NA/na_xinzhao/__init__.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_xinzhao/__init__.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_xinzhao/__init__.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from .na_xinzhao_top import *
from .na_xinzhao_jng import *
from .na_xinzhao_mid import *
from .na_xinzhao_bot import *
from .na_xinzhao_sup import *
| 25.833333
| 30
| 0.774194
| 25
| 155
| 4.4
| 0.36
| 0.272727
| 0.590909
| 0.690909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 155
| 5
| 31
| 31
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
be4fca39aa784c0d8b2778c533ae7c57ff827b2f
| 6,078
|
py
|
Python
|
lib/models/prop_modules/sparse.py
|
CFM-MSG/Code_CDN
|
b7d21cd4234ef55443dd60d7c48166085f93253c
|
[
"MIT"
] | 4
|
2022-01-20T13:52:55.000Z
|
2022-03-30T08:46:51.000Z
|
lib/models/prop_modules/sparse.py
|
CFM-MSG/Code_CDN
|
b7d21cd4234ef55443dd60d7c48166085f93253c
|
[
"MIT"
] | 1
|
2022-03-09T07:10:54.000Z
|
2022-03-09T07:10:54.000Z
|
lib/models/prop_modules/sparse.py
|
CFM-MSG/Code_CDN
|
b7d21cd4234ef55443dd60d7c48166085f93253c
|
[
"MIT"
] | null | null | null |
import torch
from torch import nn
class SparsePropMaxPool(nn.Module):
def __init__(self, cfg):
super(SparsePropMaxPool, self).__init__()
self.num_scale_layers = cfg.NUM_SCALE_LAYERS
self.layers = nn.ModuleList()
for scale_idx, num_layer in enumerate(self.num_scale_layers):
scale_layers = nn.ModuleList()
first_layer = nn.MaxPool1d(1, 1) if scale_idx == 0 else nn.MaxPool1d(3, 2)
rest_layers = [nn.MaxPool1d(2, 1) for _ in range(1, num_layer)]
scale_layers.extend([first_layer] + rest_layers)
self.layers.append(scale_layers)
def forward(self, x): # batchsize * 512 * 16
map_h_list = []
map_mask_list = []
for scale_idx, scale_layers in enumerate(self.layers):
batch_size, hidden_size, num_scale_clips = x.shape
num_scale_clips = num_scale_clips // scale_layers[0].stride # 16
map_h = x.new_zeros(batch_size, hidden_size, num_scale_clips, num_scale_clips) # batchsize * 512 * 16 *16
map_mask = x.new_zeros(batch_size, 1, num_scale_clips, num_scale_clips) # batchsize * 1 * 16 *16
for i, layer in enumerate(scale_layers):
try:
x = layer(x)
except:
pass
scale_s_idxs = list(range(0, num_scale_clips - i, 1))
scale_e_idxs = [s_idx + i for s_idx in scale_s_idxs]
map_h[:, :, scale_s_idxs, scale_e_idxs] = x
map_mask[:, :, scale_s_idxs, scale_e_idxs] = 1
map_h_list.append(map_h)
map_mask_list.append(map_mask)
ori_map_h, ori_map_mask = self.recover_to_original_map(map_h_list, map_mask_list)
return ori_map_h, ori_map_mask
def recover_to_original_map(self, h_list, mask_list):
# resize to original scale
batch_size, hidden_size, ori_num_clips, _ = h_list[0].shape # batchsize * 512 * 16 *16
ori_map_h = h_list[0].new_zeros(batch_size, hidden_size, ori_num_clips,
ori_num_clips) # batchsize * 512 * 16 *16
ori_map_mask = mask_list[0].new_zeros(batch_size, 1, ori_num_clips, ori_num_clips) # batchsize * 1 * 16 *16
acum_layers = 0
stride = 1
for scale_layers, h, mask in zip(self.layers, h_list, mask_list):
num_scale_clips = h.shape[-1] # 16
for i, layer in enumerate(scale_layers):
stride = stride * layer.stride # 1
scale_s_idxs = list(range(0, num_scale_clips - i, 1))
scale_e_idxs = [s_idx + i for s_idx in scale_s_idxs]
ori_s_idxs = list(range(0, ori_num_clips - acum_layers - i * stride, stride))
ori_e_idxs = [s_idx + acum_layers + i * stride for s_idx in ori_s_idxs]
ori_map_h[:, :, ori_s_idxs, ori_e_idxs] = h[:, :, scale_s_idxs, scale_e_idxs]
ori_map_mask[:, :, ori_s_idxs, ori_e_idxs] = 1
acum_layers += stride * (len(scale_layers) + 1)
return ori_map_h, ori_map_mask
class SparsePropConv(nn.Module):
def __init__(self, cfg):
super(SparsePropConv, self).__init__()
self.num_scale_layers = cfg.NUM_SCALE_LAYERS
self.hidden_size = cfg.HIDDEN_SIZE
self.layers = nn.ModuleList()
for scale_idx, num_layer in enumerate(self.num_scale_layers):
scale_layers = nn.ModuleList()
first_layer = nn.Conv1d(self.hidden_size, self.hidden_size, 1, 1) if scale_idx == 0 else nn.Conv1d(
self.hidden_size, self.hidden_size, 3, 2)
rest_layers = [nn.Conv1d(self.hidden_size, self.hidden_size, 2, 1) for _ in range(1, num_layer)]
scale_layers.extend([first_layer] + rest_layers)
self.layers.append(scale_layers)
def forward(self, x):
map_h_list = []
map_mask_list = []
for scale_idx, scale_layers in enumerate(self.layers):
batch_size, hidden_size, num_scale_clips = x.shape # batchsize * 512 * 16
num_scale_clips = num_scale_clips // scale_layers[0].stride[0]
map_h = x.new_zeros(batch_size, hidden_size, num_scale_clips, num_scale_clips)
map_mask = x.new_zeros(batch_size, 1, num_scale_clips, num_scale_clips)
for i, layer in enumerate(scale_layers):
x = layer(x)
scale_s_idxs = list(range(0, num_scale_clips - i, 1))
scale_e_idxs = [s_idx + i for s_idx in scale_s_idxs]
map_h[:, :, scale_s_idxs, scale_e_idxs] = x
map_mask[:, :, scale_s_idxs, scale_e_idxs] = 1
map_h_list.append(map_h)
map_mask_list.append(map_mask)
ori_map_h, ori_map_mask = self.recover_to_original_map(map_h_list, map_mask_list)
return ori_map_h, ori_map_mask
def recover_to_original_map(self, h_list, mask_list):
# resize to original scale
batch_size, hidden_size, ori_num_clips, _ = h_list[0].shape
ori_map_h = h_list[0].new_zeros(batch_size, hidden_size, ori_num_clips, ori_num_clips)
ori_map_mask = mask_list[0].new_zeros(batch_size, 1, ori_num_clips, ori_num_clips)
acum_layers = 0
stride = 1
for scale_layers, h, mask in zip(self.layers, h_list, mask_list):
num_scale_clips = h.shape[-1]
for i, layer in enumerate(scale_layers):
stride = stride * layer.stride[0]
scale_s_idxs = list(range(0, num_scale_clips - i, 1))
scale_e_idxs = [s_idx + i for s_idx in scale_s_idxs]
ori_s_idxs = list(range(0, ori_num_clips - acum_layers - i * stride, stride))
ori_e_idxs = [s_idx + acum_layers + i * stride for s_idx in ori_s_idxs]
ori_map_h[:, :, ori_s_idxs, ori_e_idxs] = h[:, :, scale_s_idxs, scale_e_idxs]
ori_map_mask[:, :, ori_s_idxs, ori_e_idxs] = 1
acum_layers += stride * (len(scale_layers) + 1)
return ori_map_h, ori_map_mask
| 47.858268
| 118
| 0.61665
| 908
| 6,078
| 3.72467
| 0.07489
| 0.061502
| 0.076878
| 0.044944
| 0.937907
| 0.925784
| 0.918983
| 0.883205
| 0.830869
| 0.830869
| 0
| 0.024063
| 0.288911
| 6,078
| 127
| 119
| 47.858268
| 0.758445
| 0.036196
| 0
| 0.784314
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0.009804
| 0.019608
| 0
| 0.137255
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
be84e24a0baef38a6c7b02954d315c851f684c78
| 210
|
py
|
Python
|
CommitLink.py
|
everydaydaniel/test_repo
|
50512a26188628db8d5a64454bd42c1e99b30511
|
[
"Apache-2.0"
] | null | null | null |
CommitLink.py
|
everydaydaniel/test_repo
|
50512a26188628db8d5a64454bd42c1e99b30511
|
[
"Apache-2.0"
] | 6
|
2019-02-14T16:50:59.000Z
|
2019-02-28T20:20:51.000Z
|
CommitLink.py
|
everydaydaniel/test_repo
|
50512a26188628db8d5a64454bd42c1e99b30511
|
[
"Apache-2.0"
] | null | null | null |
print("commit Link")
print("commit Link")
print("commit Link")
print("commit Link")
print("commit Link")
print("commit Link")
print("commit Link")
print("commit Link")
print("commit Link")
print("commit Link")
| 19.090909
| 20
| 0.714286
| 30
| 210
| 5
| 0.1
| 0.733333
| 1
| 1.2
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0.095238
| 210
| 11
| 21
| 19.090909
| 0.789474
| 0
| 0
| 1
| 0
| 0
| 0.521327
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 12
|
be99e1f654e55594e62fbc5be529c47a24c623de
| 20,639
|
py
|
Python
|
sms/install_fixtures.py
|
ashish-greycube/sms
|
a5cb615013c9491acfc23342095fbfd2cd097ba6
|
[
"MIT"
] | null | null | null |
sms/install_fixtures.py
|
ashish-greycube/sms
|
a5cb615013c9491acfc23342095fbfd2cd097ba6
|
[
"MIT"
] | null | null | null |
sms/install_fixtures.py
|
ashish-greycube/sms
|
a5cb615013c9491acfc23342095fbfd2cd097ba6
|
[
"MIT"
] | 2
|
2021-12-10T11:33:19.000Z
|
2022-02-02T20:26:27.000Z
|
# -*- coding: utf-8 -*-
# Copyright (c) 2020, GreyCube Technologies and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.desk.page.setup_wizard.setup_wizard import make_records
def install_fixtures():
records = [
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Sales Order",
"enabled": 1,
"event": "Submit",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer}},<br><br>\n\nThank you for your reservation at Sunfit.<br><br> \n\nBooking details<br><br>\n\nGuest Name: {{doc.guest_cf}}<br>\nArrival Date: {{doc.check_in_cf}}<br>\nRoom Type: {{doc.room_type_cf}}<br>\nRate/Night:{{doc.room_rate_cf}}<br><br>\n\nPayment Details<br><br>\n\nSunfit International Ltd<br>\nFidelity Bank<br>\nAcct No.: 4010480839</i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.369249",
"module": "",
"name": "Reservation Confirmation",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Reservation Confirmation",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Client Appointment",
"enabled": 1,
"event": "New",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer_name}},<br><br>\n\nThank you for your spa reservation at Sunfit.<br><br> \n\nBooking details<br><br>\n\nName: {{doc.customer_name}}<br>\nTreatment Type: {{doc.service}}<br>\nBooking Date and Time: {{doc.scheduled_from_date}}<br><br>\n\nPayment Details<br><br>\n\nSunfit International Ltd<br>\nFidelity Bank<br>\nAcct No.: 4010480839 </i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.194059",
"module": "",
"name": "Spa Booking Confirmation",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Spa Booking Confirmation",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_phone_number",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "doc.status==\"Cancelled\" and doc.facility in ['Spa-Male','Spa-Female']",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Client Appointment",
"enabled": 1,
"event": "Save",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer_name}},<br><br>\n\nYour spa booking has been cancelled.<br><br> \n\nIf you would like to make a new booking or have any inquiries, please contact our 24 hours reception desk on 08096320300, 08096320302; or book online at www.sunfitltd.com/book_services</i></p>",
"method": "",
"modified": "2021-01-20 09:36:49.878867",
"module": "",
"name": "Your booking has been Cancelled",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Your booking has been Cancelled",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_phone_number",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Sales Order",
"enabled": 1,
"event": "Cancel",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer}},<br><br>\n\nYour reservation at Sunfit has been cancelled.<br><br> \n\nIf you would like to make a new booking or have any inquiries, please contact our 24 hours reception desk on 08096320300, 08096320302; or book online at www.sunfitltd.com/room_booking</p></i>",
"method": "",
"modified": "2021-01-20 09:36:50.322663",
"module": "",
"name": "Your Reservation has been Cancelled",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Your Reservation has been Cancelled",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Room Folio HMS",
"enabled": 1,
"event": "New",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.room_guest_detail[0].first_name}}<br><br>\n\nWe are delighted to have you at SUNFIT.<br><br>\n\nOur service hours are:<br><br>\n- Gym: 5am to 11pm<br>\n- Spa: 8am to 10pm<br>\n- Pool: 8am to 8pm<br>\n- Salon & Events: On request<br><br>\n\nPlease call the reception on 111 for any assistance needed. For feedback, please call the Manager on 08096320250.<br><br>\n\nWe wish you a very pleasant stay!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:48.798072",
"module": "",
"name": "Welcome Letter",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Welcome Letter",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Payment Entry",
"enabled": 1,
"event": "Custom",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.party_name}},<br><br>\n\nYour Club Membership has been activated.<br><br> \n\nStart Date: {{current_invoice_start}}<br> \nEnd Date: {{current_invoice_end}}<br><br>\n\n\nYour login ID is: {{member_web_login_id}}.<br><br> \nClick on the link below to access your membership page.<br><br>\n\n<a href =\"{{ frappe.get_url()}}/membership?membership={{name}}\">My Club Membership - Link</a><br><br>\n\nFor feedback, please call the Manager, Tonia on 08096320250.<br><br>\n\nWelcome to SUNFIT!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:48.708601",
"module": "",
"name": "membership_active",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "membership_active",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "doc.payment_type == \"Receive\"",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Payment Entry",
"enabled": 1,
"event": "Submit",
"interval": "",
"is_standard": 0,
"message": "<p><i>Thank you for your patronage.<br><br>\n\nYour payment of {{doc.paid_amount}} has been received.<br><br>\n\nFor feedback and enquiries, please call our 24 hours reception desk on 08096320250. Or contact our marketing unit, Esther on 0809589089</i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.075254",
"module": "",
"name": "Payment Receipt",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Payment Receipt",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Payment Entry",
"enabled": 1,
"event": "Cancel",
"interval": "",
"is_standard": 0,
"message": "<p><i>Thank you for your patronage.\n\nYour payment of {{doc.paid_amount}} has been cancelled. \n\nFor feedback and enquiries, please call our 24 hours reception desk on 08096320250. Or contact our marketing unit, Esther on 0809589089</i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.144595",
"module": "",
"name": "Payment Cancellation",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Payment Cancellation",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "birth_date_cf",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Contact",
"enabled": 1,
"event": "Custom",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.first_name}},<br><br>\n\nWe all at Sunfit are extremely excited to celebrate this special day with you.<br><br>\n\nMay your days be filled with prosperity, great health and above all joy in its truest and purest form.<br><br>\t\n\nHappy Birthday!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:48.864047",
"module": "",
"name": "birthday_reminder",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "birthday_reminder",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "mobile_no",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Membership Suspension CT",
"enabled": 1,
"event": "Submit",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer}},<br><br>\n\nYour Club Membership has been suspended from {{doc.from_date}} to {{doc.to_date}}. Your membership renewal date will now be {{frappe.format_date(new_membership_end_date(doc.name))}}\n.<br><br>\n\nFor modifications, kindly contact Esther on 0809589089<br><br>\n\nStay Active, Live Healthy & Love Life!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.279180",
"module": "",
"name": "Your Membership has been Suspended",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Your Membership has been Suspended",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_mobile_no",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "current_invoice_end",
"days_in_advance": 7,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Membership CT",
"enabled": 1,
"event": "Days Before",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer}},<br><br>\n\nYour Club Membership will expire on {{doc.current_invoice_end}}.<br><br> \n\nFor assistance, kindly contact Esther on 0809589089<br><br>\n\nStay Active, Live Healthy & Love Life!!!</p></i>",
"method": "",
"modified": "2021-01-20 09:36:48.955285",
"module": "",
"name": "Your Membership is about to Expire.",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Your Membership is about to Expire.",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_mobile_no",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Payment Entry",
"enabled": 1,
"event": "Custom",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.party_name}},<br><br>\n\nYour Club Membership has been renewed from {{current_invoice_start}} to {{current_invoice_end}}.<br><br> \n\nPlease log in below to view your membership profile.<br><br>\n<a href =\"{{ frappe.get_url()}}/membership?membership={{name}}\">Client Portal \u2013 Link</a><br><br>\n\nStay Active, Live Healthy & Love Life!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:48.910014",
"module": "",
"name": "membership_renewal",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "membership_renewal",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": "current_invoice_start"
},
{
"channel": "SMS",
"condition": "doc.status==\"Active Paid\"",
"date_changed": "last_accessed_on",
"days_in_advance": 14,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Membership CT",
"enabled": 1,
"event": "Condition Days After",
"interval": "Every 15 days",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer}},<br><br>\n\nWe haven\u2019t seen you in a while; we\u2019re just checking in.<br><br> \n\nIf you need any assistance, or have any feedback or enquiries, please contact our marketing manager, Esther on 0809589089 or the Manager, Tonia on 0809 632 0250.<br><br>\n\nStay Active, Live Healthy and Love Life!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.410161",
"module": "",
"name": "Just Checking In",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Just Checking In",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"channel": "SMS",
"condition": "doc.customer_group == \"Club Member\" and doc.disabled == 0",
"date_changed": "last_fitness_checked_on",
"days_in_advance": 24,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Customer",
"enabled": 1,
"event": "Condition Days After",
"interval": "25th of every month",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer_name}},<br><br>\n\t\t\nIn our busy lives, we may forget to take care of \u201cour health\u201d.<br><br> \n\nThis is to remind you to check your Blood Pressure today.<br><br> \n\nStay Active, Live Healthy and Love Life!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.458074",
"module": "",
"name": "Reminder: Check your Blood Pressure",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Reminder: Check your Blood Pressure",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_mobile_no",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"channel": "SMS",
"condition": "doc.customer_group == \"Club Member\" and doc.disabled == 0",
"date_changed": "last_fitness_checked_on",
"days_in_advance": 89,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Customer",
"enabled": 1,
"event": "Condition Days After",
"interval": "Every 3 months",
"is_standard": 0,
"message": "<p><i>Dear{{doc.customer_name}},<br><br>\n\t\t\nRemember to update your fitness metrics on your next visit to the gym.<br><br>\n\nLog in below to view your membership profile.<br><br>\n<a href =\"{{ frappe.get_url() }}+'/membership?membership='+{{ doc.name }}\">Client Portal - Link</a><br><br>\n\nStay Active, Live Healthy and Love Life!!!</i></p>",
"method": "",
"modified": "2021-01-20 09:36:50.529947",
"module": "",
"name": "Update Your Fitness Metrics",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Update Your Fitness Metrics",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_mobile_no",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "doc.amended_from is not None",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Sales Order",
"enabled": 1,
"event": "Submit",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer}},<br><br>\n\nYour reservation has been modified as follows:<br><br>\n\n<b>Booking details</b><br><br>\n\nGuest Name: {{doc.guest_cf}}<br>\nArrival Date: {{doc.check_in_cf}}<br>\nRoom Type: {{doc.room_type_cf}}<br>\nRate/Night: {{doc.room_rate_cf}}</i></p>",
"method": "",
"modified": "2021-01-20 09:36:49.930795",
"module": "",
"name": "Your Reservation has been Modified",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Your Reservation has been Modified",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "contact_mobile",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": ""
},
{
"_liked_by": "",
"channel": "SMS",
"condition": "doc.status==\"Rescheduled\" and doc.facility in ['Spa-Male','Spa-Female']",
"date_changed": "",
"days_in_advance": 0,
"docstatus": 0,
"doctype": "SMS Notification",
"document_type": "Client Appointment",
"enabled": 1,
"event": "Save",
"interval": "",
"is_standard": 0,
"message": "<p><i>Dear {{doc.customer_name}},<br><br>\n\nYour spa booking has been modified as follows:<br><br>\n\nBooking details<br><br>\n\nName:{{doc.customer_name}}<br>\nTreatment Type: {{doc.service}}<br>\nBooking Date and Time: {{doc.scheduled_from_date}}</i></p>",
"method": "",
"modified": "2021-01-20 09:36:48.992879",
"module": "",
"name": "Your Spa Booking has been Rescheduled",
"parent": "",
"parentfield": "",
"parenttype": "",
"property_value": "",
"recipients": [
{
"condition": "",
"parent": "Your Spa Booking has been Rescheduled",
"parentfield": "recipients",
"parenttype": "SMS Notification",
"receiver_by_document_field": "customer_phone_number",
"receiver_by_role": ""
}
],
"send_system_notification": 0,
"set_property_after_alert": "",
"subject": "",
"value_changed": "scheduled_from_date"
}
]
make_records(records)
frappe.db.commit()
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0
| 8
|
bea432733b9c5effec821a7f24bed4f36d0977a4
| 3,338
|
py
|
Python
|
Zhangjiashan_dwt/projects/generate_samples.py
|
zjy8006/MonthlyRunoffForecastByAutoReg
|
661fcb5dcdfbbb2ec6861e1668a035b50e69f7c2
|
[
"MIT"
] | 2
|
2020-05-18T06:45:04.000Z
|
2021-05-18T06:38:23.000Z
|
Zhangjiashan_dwt/projects/generate_samples.py
|
zjy8006/MonthlyRunoffForecastByAutoReg
|
661fcb5dcdfbbb2ec6861e1668a035b50e69f7c2
|
[
"MIT"
] | null | null | null |
Zhangjiashan_dwt/projects/generate_samples.py
|
zjy8006/MonthlyRunoffForecastByAutoReg
|
661fcb5dcdfbbb2ec6861e1668a035b50e69f7c2
|
[
"MIT"
] | 1
|
2020-01-17T02:56:18.000Z
|
2020-01-17T02:56:18.000Z
|
import sys
import os
root_path = os.path.dirname(os.path.abspath("__file__"))
sys.path.append(root_path)
from tools.samples_generator import gen_multi_forecast_samples
from tools.samples_generator import gen_direct_forecast_samples
from Zhangjiashan_dwt.projects.variables import variables
gen_direct_forecast_samples(
station="Zhangjiashan",
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2',],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
gen_from='training and validation sets',
)
gen_direct_forecast_samples(
station="Zhangjiashan",
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2',],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
gen_from='training-development and appended sets',
)
gen_direct_forecast_samples(
station="Zhangjiashan",
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2',],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
gen_from='training-development and test sets',
)
for lead_time in [1,3,5,7,9]:
gen_direct_forecast_samples(
station='Zhangjiashan',
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2', ],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
mode='PACF',
lead_time=lead_time,
gen_from='training and appended sets',
)
for lead_time in [1, 3, 5, 7, 9]:
gen_direct_forecast_samples(
station='Zhangjiashan',
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2', ],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
mode='Pearson',
lead_time=lead_time,
gen_from='training and appended sets',
)
gen_multi_forecast_samples(
station='Zhangjiashan',
decomposer="dwt",
lags_dict=variables['lags_dict'],
columns=['D1', 'D2', 'A2', ],
start=533,
stop=792,
test_len=120,
)
gen_direct_forecast_samples(
station='Zhangjiashan',
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2', ],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
mode='PACF',
lead_time=1,
n_components=28,
gen_from='training and appended sets',
)
gen_direct_forecast_samples(
station='Zhangjiashan',
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2', ],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
mode='PACF',
lead_time=1,
n_components='mle',
gen_from='training and appended sets',
)
num_in_one = sum(variables['lags_dict']['db10-2'].values())
for n_components in range(num_in_one-16,num_in_one+1):
gen_direct_forecast_samples(
station='Zhangjiashan',
decomposer="dwt",
lags_dict=variables['lags_dict'],
input_columns=['D1', 'D2', 'A2', ],
output_column=['ORIG'],
start=533,
stop=792,
test_len=120,
mode='PACF',
lead_time=1,
n_components=n_components,
gen_from='training and appended sets',
)
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| 63
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|
0
| 7
|
beb1e5c17df2c8adb6db1e9fa60fc0685a1f2d23
| 3,399
|
py
|
Python
|
ovl/image_filters/kernels.py
|
ofekashery/Ovl-Python
|
117e3f4ae1a8a5624c41792bd36b760afbe86c8e
|
[
"Apache-2.0"
] | 1
|
2020-10-11T16:14:46.000Z
|
2020-10-11T16:14:46.000Z
|
ovl/image_filters/kernels.py
|
ofekashery/Ovl-Python
|
117e3f4ae1a8a5624c41792bd36b760afbe86c8e
|
[
"Apache-2.0"
] | 1
|
2020-10-18T05:00:06.000Z
|
2020-12-24T20:03:44.000Z
|
ovl/image_filters/kernels.py
|
ofekashery/Ovl-Python
|
117e3f4ae1a8a5624c41792bd36b760afbe86c8e
|
[
"Apache-2.0"
] | null | null | null |
import numpy as np
import cv2
def validate_odd_size(size):
"""
Validates that a kernel shape is of odd ints and of size 2
:param size: the shape (size) to be checked
:return: False if size is invalid
"""
if type(size) not in (list, tuple):
return False
if len(size) != 2:
return False
if size[0] % 2 != 1 or size[1] % 2 != 1:
return False
return True
def is_odd_size(size) -> bool:
"""
Validates that a kernel shape is of odd ints and of size 2
:param size: the shape (size) to be checked
:return: doesnt raise an error if it's ok.
"""
if type(size) not in (list, tuple):
return False
if len(size) != 2:
return False
if size[0] % 2 != 1 or size[1] % 2 != 1:
return False
return True
def cross_kernel(size):
r"""
Returns a cross (ones in a cross) kernel for morphological functions
Example of a (5,5) cross:
| \| 0 0 1 0 0 \|
| \| 0 0 1 0 0 \|
| \| 1 1 1 1 1 \|
| \| 0 0 1 0 0 \|
| \| 0 0 1 0 0 \|
:param size: a tuple of size 2 of 2 odd integers denoting the size of the kernel
f.g. (5, 5)
:return: the numpy.array of the cross shape
"""
validate_odd_size(size)
return cv2.getStructuringElement(cv2.MORPH_CROSS, ksize=size)
def rectangle_kernel(size):
r"""
Returns a rectangle (all ones) kernel for morphological functions
Example of a (5,5) rectangle:
| \| 1 1 1 1 1 \|
| \| 1 1 1 1 1 \|
| \| 1 1 1 1 1 \|
| \| 1 1 1 1 1 \|
| \| 1 1 1 1 1 \|
:param size: a tuple of size 2 of 2 odd integers denoting the size of the kernel
f.g. (5, 5)
:return: the numpy.array of the cross shape
"""
return cv2.getStructuringElement(cv2.MORPH_RECT, ksize=size)
def ellipse_kernel(size):
r"""
Returns an ellipse (ones in the shape of an ellipse) kernel for morphological functions
Example of a (5,5) ellipse:
| \| 0 0 1 0 0 \|
| \| 1 1 1 1 1 \|
| \| 1 1 1 1 1 \|
| \| 1 1 1 1 1 \|
| \| 0 0 1 0 0 \|
:param size: a tuple of size 2 of 2 odd integers denoting the size of the kernel
f.g. (5, 5)
:return: the kernel
"""
validate_odd_size(size)
return cv2.getStructuringElement(cv2.MORPH_ELLIPSE, ksize=size)
def horizontal_line_kernel(size):
r"""
Returns an horizontal line (a horizontal line of ones) kernel for morphological functions
Example of a (5,5) horizontal line:
| \| 0 0 0 0 0 \|
| \| 0 0 0 0 0 \|
| \| 1 1 1 1 1 \|
| \| 0 0 0 0 0 \|
| \| 0 0 0 0 0 \|
:param size: a tuple of size 2 of 2 odd integers denoting the size of the kernel
f.g. (5, 5)
:return: the kernel
"""
validate_odd_size(size)
kernel = np.zeros(size, dtype=np.uint8)
kernel[int((size[0] - 1) / 2), ] = 1
return kernel
def vertical_line_kernel(size):
r"""
Returns a vertical line (a vertical line of ones) kernel for morphological functions
Example of a (5,5) vertical line:
| \| 0 0 1 0 0 \|
| \| 0 0 1 0 0 \|
| \| 0 0 1 0 0 \|
| \| 0 0 1 0 0 \|
| \| 0 0 1 0 0 \|
:param size: a tuple of size 2 of 2 odd integers denoting the size of the kernel
f.g. (5, 5)
:return: the kernel
"""
validate_odd_size(size)
kernel = np.zeros(size, dtype=np.uint8)
kernel[:, int((size[1] - 1) / 2)] = 1
return kernel
| 25.556391
| 93
| 0.57664
| 578
| 3,399
| 3.352941
| 0.128028
| 0.048504
| 0.065015
| 0.078431
| 0.815273
| 0.726006
| 0.726006
| 0.726006
| 0.726006
| 0.630031
| 0
| 0.08
| 0.30862
| 3,399
| 132
| 94
| 25.75
| 0.744681
| 0.563989
| 0
| 0.536585
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.170732
| false
| 0
| 0.04878
| 0
| 0.536585
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 7
|
feb5f5b683b02277996c054a22f258809aa1b008
| 2,047
|
gyp
|
Python
|
gyp/pdfviewer_lib.gyp
|
quanganh2627/bytm-x64-L-w05-2015_external_chromium_org_third_party_skia
|
90b3f9b82dbad266f960601d2120082bb841fb97
|
[
"BSD-3-Clause"
] | 2
|
2019-05-09T17:06:47.000Z
|
2020-07-06T16:14:13.000Z
|
gyp/pdfviewer_lib.gyp
|
quanganh2627/bytm-x64-L-w05-2015_external_chromium_org_third_party_skia
|
90b3f9b82dbad266f960601d2120082bb841fb97
|
[
"BSD-3-Clause"
] | null | null | null |
gyp/pdfviewer_lib.gyp
|
quanganh2627/bytm-x64-L-w05-2015_external_chromium_org_third_party_skia
|
90b3f9b82dbad266f960601d2120082bb841fb97
|
[
"BSD-3-Clause"
] | 3
|
2015-03-13T14:30:30.000Z
|
2020-07-06T16:13:36.000Z
|
# GYP file to build pdfviewer.
#
# To build on Linux:
# ./gyp_skia pdfviewer.gyp && make pdfviewer
#
{
'targets': [
{
'target_name': 'pdfviewer_lib',
'type': 'static_library',
'sources': [
# FIXME: Include directory is named "inc" (instead of "include") in
# order to not be considered the public API.
'../experimental/PdfViewer/inc/SkPdfContext.h',
'../experimental/PdfViewer/inc/SkPdfDiffEncoder.h',
'../experimental/PdfViewer/inc/SkPdfRenderer.h',
'../experimental/PdfViewer/inc/SkPdfTokenLooper.h',
'../experimental/PdfViewer/src/SkPdfContext.cpp',
'../experimental/PdfViewer/src/SkPdfRenderer.cpp',
'../experimental/PdfViewer/src/SkTDStackNester.h',
'../experimental/PdfViewer/src/SkPdfDiffEncoder.cpp',
'../experimental/PdfViewer/SkPdfGraphicsState.cpp',
'../experimental/PdfViewer/SkPdfFont.cpp',
'../experimental/PdfViewer/SkPdfReporter.cpp',
'../experimental/PdfViewer/SkPdfUtils.cpp',
#'../experimental/PdfViewer/SkPdfNYI.cpp',
'../experimental/PdfViewer/SkTrackDevice.cpp',
'../experimental/PdfViewer/SkTracker.cpp',
'../experimental/PdfViewer/pdfparser/native/SkPdfNativeObject.cpp',
'../experimental/PdfViewer/pdfparser/native/SkPdfNativeTokenizer.cpp',
'../experimental/PdfViewer/pdfparser/native/SkPdfNativeDoc.cpp',
'../experimental/PdfViewer/pdfparser/native/pdfapi/SkPdfMapper_autogen.cpp',
'../experimental/PdfViewer/pdfparser/native/pdfapi/SkPdfHeaders_autogen.cpp',
],
'include_dirs': [
'../experimental/PdfViewer',
'../experimental/PdfViewer/inc',
'../experimental/PdfViewer/src',
'../experimental/PdfViewer/pdfparser',
'../experimental/PdfViewer/pdfparser/native',
'../experimental/PdfViewer/pdfparser/native/pdfapi',
'../src/core',
],
'dependencies': [
'skia_lib.gyp:skia_lib',
'skflate.gyp:skflate',
],
},
],
}
| 38.622642
| 85
| 0.643381
| 177
| 2,047
| 7.389831
| 0.350282
| 0.417431
| 0.256881
| 0.192661
| 0.190367
| 0.068807
| 0
| 0
| 0
| 0
| 0
| 0
| 0.194919
| 2,047
| 52
| 86
| 39.365385
| 0.793689
| 0.117733
| 0
| 0.095238
| 0
| 0
| 0.726767
| 0.665554
| 0
| 0
| 0
| 0.019231
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
22cbbfb7393af0a516b219a985cdbe092a689d25
| 2,530
|
py
|
Python
|
classes/state_machine.py
|
cameronstinson4/diamondback
|
3481055cb1cb144296ced18df9fe60872853ffd9
|
[
"MIT"
] | null | null | null |
classes/state_machine.py
|
cameronstinson4/diamondback
|
3481055cb1cb144296ced18df9fe60872853ffd9
|
[
"MIT"
] | null | null | null |
classes/state_machine.py
|
cameronstinson4/diamondback
|
3481055cb1cb144296ced18df9fe60872853ffd9
|
[
"MIT"
] | null | null | null |
class StateMachine:
"""
This class represents the encompassing state machine object
"""
def __init__(self, StartAt, States={}, Comment=None, TimeoutSeconds=None, Version=None):
"""
Constructor
Args:
StartAt: State, required. A string that must exactly match (is case sensitive) the name of one of the state objects.
Comment: string optional. A human-readable description of the state machine.
TimeoutSeconds: integer, optional. The maximum number of seconds an execution of the state machine can run. If it runs longer than the specified time, the execution fails with a States.Timeout Error Name.
Version: The version of the Amazon States Language used in the state machine (default is "1.0").
"""
self.StartAt = StartAt
self.States = States
self.Comment = Comment
self.TimeoutSeconds = TimeoutSeconds
self.Version = Version
def addState(self, state, stateName):
"""
Adds a state to the state machine object
"""
self.States[stateName] = state
class StateMachineBuilder():
"""
This class represents the encompassing state machine object with no required
"""
def __init__(self, StartAt=None, States=None, Comment=None, TimeoutSeconds=None, Version=None):
"""
Constructor
Args:
StartAt: State, required. A string that must exactly match (is case sensitive) the name of one of the state objects.
Comment: string optional. A human-readable description of the state machine.
TimeoutSeconds: integer, optional. The maximum number of seconds an execution of the state machine can run. If it runs longer than the specified time, the execution fails with a States.Timeout Error Name.
Version: The version of the Amazon States Language used in the state machine (default is "1.0").
"""
self.StartAt = StartAt
self.States = States
self.Comment = Comment
self.TimeoutSeconds = TimeoutSeconds
self.Version = Version
def addState(self, state, stateName):
"""
Adds a state to the state machine object
"""
self.States[stateName] = state
def setStartAtStart(self, state):
"""
Sets the state to start at
"""
pass
def build(self):
"""
Builds the state machine object
"""
return
| 37.205882
| 220
| 0.63004
| 297
| 2,530
| 5.340067
| 0.262626
| 0.06053
| 0.08512
| 0.042875
| 0.868852
| 0.868852
| 0.868852
| 0.868852
| 0.803279
| 0.803279
| 0
| 0.002262
| 0.301186
| 2,530
| 68
| 221
| 37.205882
| 0.894796
| 0.545059
| 0
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.272727
| false
| 0.045455
| 0
| 0
| 0.409091
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
22ee1b6200c9d24bbda334a27bd5d6e9e15681e2
| 38
|
py
|
Python
|
test/run/t527.py
|
timmartin/skulpt
|
2e3a3fbbaccc12baa29094a717ceec491a8a6750
|
[
"MIT"
] | 2,671
|
2015-01-03T08:23:25.000Z
|
2022-03-31T06:15:48.000Z
|
test/run/t527.py
|
timmartin/skulpt
|
2e3a3fbbaccc12baa29094a717ceec491a8a6750
|
[
"MIT"
] | 972
|
2015-01-05T08:11:00.000Z
|
2022-03-29T13:47:15.000Z
|
test/run/t527.py
|
timmartin/skulpt
|
2e3a3fbbaccc12baa29094a717ceec491a8a6750
|
[
"MIT"
] | 845
|
2015-01-03T19:53:36.000Z
|
2022-03-29T18:34:22.000Z
|
print pow(4, 5)
print pow(4, 5, None)
| 12.666667
| 21
| 0.631579
| 9
| 38
| 2.666667
| 0.555556
| 0.666667
| 0.75
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 0.184211
| 38
| 2
| 22
| 19
| 0.645161
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 1
| 1
| 1
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
a3c660c09a78e94a463be51c25529f56b40b1a80
| 20,975
|
py
|
Python
|
sdk/python/pulumi_alicloud/ecs/ecs_key_pair.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 42
|
2019-03-18T06:34:37.000Z
|
2022-03-24T07:08:57.000Z
|
sdk/python/pulumi_alicloud/ecs/ecs_key_pair.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 152
|
2019-04-15T21:03:44.000Z
|
2022-03-29T18:00:57.000Z
|
sdk/python/pulumi_alicloud/ecs/ecs_key_pair.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2020-08-26T17:30:07.000Z
|
2021-07-05T01:37:45.000Z
|
# 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__ = ['EcsKeyPairArgs', 'EcsKeyPair']
@pulumi.input_type
class EcsKeyPairArgs:
def __init__(__self__, *,
key_file: Optional[pulumi.Input[str]] = None,
key_name: Optional[pulumi.Input[str]] = None,
key_name_prefix: Optional[pulumi.Input[str]] = None,
key_pair_name: Optional[pulumi.Input[str]] = None,
public_key: Optional[pulumi.Input[str]] = None,
resource_group_id: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, Any]]] = None):
"""
The set of arguments for constructing a EcsKeyPair resource.
:param pulumi.Input[str] key_file: The key file.
:param pulumi.Input[str] key_name: The key pair's name. It is the only in one Alicloud account.
:param pulumi.Input[str] public_key: You can import an existing public key and using Alicloud key pair to manage it. If this parameter is specified, `resource_group_id` is the key pair belongs.
:param pulumi.Input[str] resource_group_id: The Id of resource group which the key pair belongs.
:param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource.
"""
if key_file is not None:
pulumi.set(__self__, "key_file", key_file)
if key_name is not None:
warnings.warn("""Field 'key_name' has been deprecated from provider version 1.121.0. New field 'key_pair_name' instead.""", DeprecationWarning)
pulumi.log.warn("""key_name is deprecated: Field 'key_name' has been deprecated from provider version 1.121.0. New field 'key_pair_name' instead.""")
if key_name is not None:
pulumi.set(__self__, "key_name", key_name)
if key_name_prefix is not None:
pulumi.set(__self__, "key_name_prefix", key_name_prefix)
if key_pair_name is not None:
pulumi.set(__self__, "key_pair_name", key_pair_name)
if public_key is not None:
pulumi.set(__self__, "public_key", public_key)
if resource_group_id is not None:
pulumi.set(__self__, "resource_group_id", resource_group_id)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="keyFile")
def key_file(self) -> Optional[pulumi.Input[str]]:
"""
The key file.
"""
return pulumi.get(self, "key_file")
@key_file.setter
def key_file(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_file", value)
@property
@pulumi.getter(name="keyName")
def key_name(self) -> Optional[pulumi.Input[str]]:
"""
The key pair's name. It is the only in one Alicloud account.
"""
return pulumi.get(self, "key_name")
@key_name.setter
def key_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_name", value)
@property
@pulumi.getter(name="keyNamePrefix")
def key_name_prefix(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "key_name_prefix")
@key_name_prefix.setter
def key_name_prefix(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_name_prefix", value)
@property
@pulumi.getter(name="keyPairName")
def key_pair_name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "key_pair_name")
@key_pair_name.setter
def key_pair_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_pair_name", value)
@property
@pulumi.getter(name="publicKey")
def public_key(self) -> Optional[pulumi.Input[str]]:
"""
You can import an existing public key and using Alicloud key pair to manage it. If this parameter is specified, `resource_group_id` is the key pair belongs.
"""
return pulumi.get(self, "public_key")
@public_key.setter
def public_key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "public_key", value)
@property
@pulumi.getter(name="resourceGroupId")
def resource_group_id(self) -> Optional[pulumi.Input[str]]:
"""
The Id of resource group which the key pair belongs.
"""
return pulumi.get(self, "resource_group_id")
@resource_group_id.setter
def resource_group_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "resource_group_id", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "tags", value)
@pulumi.input_type
class _EcsKeyPairState:
def __init__(__self__, *,
finger_print: Optional[pulumi.Input[str]] = None,
key_file: Optional[pulumi.Input[str]] = None,
key_name: Optional[pulumi.Input[str]] = None,
key_name_prefix: Optional[pulumi.Input[str]] = None,
key_pair_name: Optional[pulumi.Input[str]] = None,
public_key: Optional[pulumi.Input[str]] = None,
resource_group_id: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, Any]]] = None):
"""
Input properties used for looking up and filtering EcsKeyPair resources.
:param pulumi.Input[str] key_file: The key file.
:param pulumi.Input[str] key_name: The key pair's name. It is the only in one Alicloud account.
:param pulumi.Input[str] public_key: You can import an existing public key and using Alicloud key pair to manage it. If this parameter is specified, `resource_group_id` is the key pair belongs.
:param pulumi.Input[str] resource_group_id: The Id of resource group which the key pair belongs.
:param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource.
"""
if finger_print is not None:
pulumi.set(__self__, "finger_print", finger_print)
if key_file is not None:
pulumi.set(__self__, "key_file", key_file)
if key_name is not None:
warnings.warn("""Field 'key_name' has been deprecated from provider version 1.121.0. New field 'key_pair_name' instead.""", DeprecationWarning)
pulumi.log.warn("""key_name is deprecated: Field 'key_name' has been deprecated from provider version 1.121.0. New field 'key_pair_name' instead.""")
if key_name is not None:
pulumi.set(__self__, "key_name", key_name)
if key_name_prefix is not None:
pulumi.set(__self__, "key_name_prefix", key_name_prefix)
if key_pair_name is not None:
pulumi.set(__self__, "key_pair_name", key_pair_name)
if public_key is not None:
pulumi.set(__self__, "public_key", public_key)
if resource_group_id is not None:
pulumi.set(__self__, "resource_group_id", resource_group_id)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="fingerPrint")
def finger_print(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "finger_print")
@finger_print.setter
def finger_print(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "finger_print", value)
@property
@pulumi.getter(name="keyFile")
def key_file(self) -> Optional[pulumi.Input[str]]:
"""
The key file.
"""
return pulumi.get(self, "key_file")
@key_file.setter
def key_file(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_file", value)
@property
@pulumi.getter(name="keyName")
def key_name(self) -> Optional[pulumi.Input[str]]:
"""
The key pair's name. It is the only in one Alicloud account.
"""
return pulumi.get(self, "key_name")
@key_name.setter
def key_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_name", value)
@property
@pulumi.getter(name="keyNamePrefix")
def key_name_prefix(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "key_name_prefix")
@key_name_prefix.setter
def key_name_prefix(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_name_prefix", value)
@property
@pulumi.getter(name="keyPairName")
def key_pair_name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "key_pair_name")
@key_pair_name.setter
def key_pair_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "key_pair_name", value)
@property
@pulumi.getter(name="publicKey")
def public_key(self) -> Optional[pulumi.Input[str]]:
"""
You can import an existing public key and using Alicloud key pair to manage it. If this parameter is specified, `resource_group_id` is the key pair belongs.
"""
return pulumi.get(self, "public_key")
@public_key.setter
def public_key(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "public_key", value)
@property
@pulumi.getter(name="resourceGroupId")
def resource_group_id(self) -> Optional[pulumi.Input[str]]:
"""
The Id of resource group which the key pair belongs.
"""
return pulumi.get(self, "resource_group_id")
@resource_group_id.setter
def resource_group_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "resource_group_id", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "tags", value)
class EcsKeyPair(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
key_file: Optional[pulumi.Input[str]] = None,
key_name: Optional[pulumi.Input[str]] = None,
key_name_prefix: Optional[pulumi.Input[str]] = None,
key_pair_name: Optional[pulumi.Input[str]] = None,
public_key: Optional[pulumi.Input[str]] = None,
resource_group_id: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
__props__=None):
"""
Provides a ECS Key Pair resource.
For information about ECS Key Pair and how to use it, see [What is Key Pair](https://www.alibabacloud.com/help/en/doc-detail/51771.htm).
> **NOTE:** Available in v1.121.0+.
## Example Usage
Basic Usage
```python
import pulumi
import pulumi_alicloud as alicloud
example = alicloud.ecs.EcsKeyPair("example", key_pair_name="key_pair_name")
# Using name prefix to build key pair
prefix = alicloud.ecs.EcsKeyPair("prefix", key_name_prefix="terraform-test-key-pair-prefix")
# Import an existing public key to build a alicloud key pair
publickey = alicloud.ecs.EcsKeyPair("publickey",
key_pair_name="my_public_key",
public_key="ssh-rsa AAAAB3Nza12345678qwertyuudsfsg")
```
## Import
ECS Key Pair can be imported using the id, e.g.
```sh
$ pulumi import alicloud:ecs/ecsKeyPair:EcsKeyPair example <key_name>
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] key_file: The key file.
:param pulumi.Input[str] key_name: The key pair's name. It is the only in one Alicloud account.
:param pulumi.Input[str] public_key: You can import an existing public key and using Alicloud key pair to manage it. If this parameter is specified, `resource_group_id` is the key pair belongs.
:param pulumi.Input[str] resource_group_id: The Id of resource group which the key pair belongs.
:param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: Optional[EcsKeyPairArgs] = None,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a ECS Key Pair resource.
For information about ECS Key Pair and how to use it, see [What is Key Pair](https://www.alibabacloud.com/help/en/doc-detail/51771.htm).
> **NOTE:** Available in v1.121.0+.
## Example Usage
Basic Usage
```python
import pulumi
import pulumi_alicloud as alicloud
example = alicloud.ecs.EcsKeyPair("example", key_pair_name="key_pair_name")
# Using name prefix to build key pair
prefix = alicloud.ecs.EcsKeyPair("prefix", key_name_prefix="terraform-test-key-pair-prefix")
# Import an existing public key to build a alicloud key pair
publickey = alicloud.ecs.EcsKeyPair("publickey",
key_pair_name="my_public_key",
public_key="ssh-rsa AAAAB3Nza12345678qwertyuudsfsg")
```
## Import
ECS Key Pair can be imported using the id, e.g.
```sh
$ pulumi import alicloud:ecs/ecsKeyPair:EcsKeyPair example <key_name>
```
:param str resource_name: The name of the resource.
:param EcsKeyPairArgs 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(EcsKeyPairArgs, 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,
key_file: Optional[pulumi.Input[str]] = None,
key_name: Optional[pulumi.Input[str]] = None,
key_name_prefix: Optional[pulumi.Input[str]] = None,
key_pair_name: Optional[pulumi.Input[str]] = None,
public_key: Optional[pulumi.Input[str]] = None,
resource_group_id: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, Any]]] = 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__ = EcsKeyPairArgs.__new__(EcsKeyPairArgs)
__props__.__dict__["key_file"] = key_file
if key_name is not None and not opts.urn:
warnings.warn("""Field 'key_name' has been deprecated from provider version 1.121.0. New field 'key_pair_name' instead.""", DeprecationWarning)
pulumi.log.warn("""key_name is deprecated: Field 'key_name' has been deprecated from provider version 1.121.0. New field 'key_pair_name' instead.""")
__props__.__dict__["key_name"] = key_name
__props__.__dict__["key_name_prefix"] = key_name_prefix
__props__.__dict__["key_pair_name"] = key_pair_name
__props__.__dict__["public_key"] = public_key
__props__.__dict__["resource_group_id"] = resource_group_id
__props__.__dict__["tags"] = tags
__props__.__dict__["finger_print"] = None
super(EcsKeyPair, __self__).__init__(
'alicloud:ecs/ecsKeyPair:EcsKeyPair',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
finger_print: Optional[pulumi.Input[str]] = None,
key_file: Optional[pulumi.Input[str]] = None,
key_name: Optional[pulumi.Input[str]] = None,
key_name_prefix: Optional[pulumi.Input[str]] = None,
key_pair_name: Optional[pulumi.Input[str]] = None,
public_key: Optional[pulumi.Input[str]] = None,
resource_group_id: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, Any]]] = None) -> 'EcsKeyPair':
"""
Get an existing EcsKeyPair 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] key_file: The key file.
:param pulumi.Input[str] key_name: The key pair's name. It is the only in one Alicloud account.
:param pulumi.Input[str] public_key: You can import an existing public key and using Alicloud key pair to manage it. If this parameter is specified, `resource_group_id` is the key pair belongs.
:param pulumi.Input[str] resource_group_id: The Id of resource group which the key pair belongs.
:param pulumi.Input[Mapping[str, Any]] tags: A mapping of tags to assign to the resource.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _EcsKeyPairState.__new__(_EcsKeyPairState)
__props__.__dict__["finger_print"] = finger_print
__props__.__dict__["key_file"] = key_file
__props__.__dict__["key_name"] = key_name
__props__.__dict__["key_name_prefix"] = key_name_prefix
__props__.__dict__["key_pair_name"] = key_pair_name
__props__.__dict__["public_key"] = public_key
__props__.__dict__["resource_group_id"] = resource_group_id
__props__.__dict__["tags"] = tags
return EcsKeyPair(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="fingerPrint")
def finger_print(self) -> pulumi.Output[str]:
return pulumi.get(self, "finger_print")
@property
@pulumi.getter(name="keyFile")
def key_file(self) -> pulumi.Output[Optional[str]]:
"""
The key file.
"""
return pulumi.get(self, "key_file")
@property
@pulumi.getter(name="keyName")
def key_name(self) -> pulumi.Output[str]:
"""
The key pair's name. It is the only in one Alicloud account.
"""
return pulumi.get(self, "key_name")
@property
@pulumi.getter(name="keyNamePrefix")
def key_name_prefix(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "key_name_prefix")
@property
@pulumi.getter(name="keyPairName")
def key_pair_name(self) -> pulumi.Output[str]:
return pulumi.get(self, "key_pair_name")
@property
@pulumi.getter(name="publicKey")
def public_key(self) -> pulumi.Output[Optional[str]]:
"""
You can import an existing public key and using Alicloud key pair to manage it. If this parameter is specified, `resource_group_id` is the key pair belongs.
"""
return pulumi.get(self, "public_key")
@property
@pulumi.getter(name="resourceGroupId")
def resource_group_id(self) -> pulumi.Output[Optional[str]]:
"""
The Id of resource group which the key pair belongs.
"""
return pulumi.get(self, "resource_group_id")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, Any]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
| 42.718941
| 201
| 0.642622
| 2,706
| 20,975
| 4.731707
| 0.070953
| 0.078179
| 0.083099
| 0.099656
| 0.869416
| 0.850672
| 0.837785
| 0.829897
| 0.81701
| 0.793112
| 0
| 0.004387
| 0.250155
| 20,975
| 490
| 202
| 42.806122
| 0.809702
| 0.275328
| 0
| 0.800699
| 1
| 0.020979
| 0.131416
| 0.002397
| 0
| 0
| 0
| 0
| 0
| 1
| 0.157343
| false
| 0.003497
| 0.017483
| 0.027972
| 0.269231
| 0.045455
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
432b91a84921ad16f0f6263d2ef94d42b9699cb9
| 6,405
|
py
|
Python
|
src/plot_functions/3d_tensor.py
|
kaylani2/machineLearning
|
692623abf6fe02bde6c7da6c2f8c0ec526a3e8f8
|
[
"MIT"
] | 7
|
2019-11-06T14:35:37.000Z
|
2022-03-06T03:55:06.000Z
|
src/plot_functions/3d_tensor.py
|
kaylani2/machineLearning
|
692623abf6fe02bde6c7da6c2f8c0ec526a3e8f8
|
[
"MIT"
] | 10
|
2020-05-16T02:38:35.000Z
|
2021-04-11T23:55:35.000Z
|
src/plot_functions/3d_tensor.py
|
kaylani2/machineLearning
|
692623abf6fe02bde6c7da6c2f8c0ec526a3e8f8
|
[
"MIT"
] | 2
|
2020-06-26T21:39:41.000Z
|
2020-09-15T03:38:32.000Z
|
#import tkinter
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
#plt.use('TkAgg')
xyz = np.array (np.random.random ( (100,3)))
x = xyz[:,0]
y = xyz[:,1]
z = xyz[:,2]*100
fig = plt.figure (figsize = (10, 10))
ax = fig.add_subplot (111, projection = '3d')
ax.set_ylabel ('$F1,\ F2,\ F3\ |\ Label$', fontsize = 20, rotation = 180)
ax.set_zlabel ('$Samples$', fontsize = 20, rotation = 0)
ax.plot ([1.], [1.], [1.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$7$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [1.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$8$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [1.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$9$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [1.], [2.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$4$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [2.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$5$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [2.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$6$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [1.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$1$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$2$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$3$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [4.], [1.], markerfacecolor = 'r', markeredgecolor = 'r', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [4.], [2.], markerfacecolor = 'g', markeredgecolor = 'g', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [4.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = 'o', markersize = 9, alpha = 0.6)
ax.plot ([1.], [1.], [4.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$70$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [4.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$80$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [4.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$90$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [1.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$40$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$50$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$60$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [1.], [6.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$10$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [6.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$20$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [6.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$30$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [4.], [4.], markerfacecolor = 'r', markeredgecolor = 'r', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [4.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [4.], [6.], markerfacecolor = 'b', markeredgecolor = 'b', marker = 'o', markersize = 9, alpha = 0.6)
plt.show ()
fig = plt.figure (figsize = (10, 10))
ax = fig.add_subplot (111, projection = '3d')
ax.set_ylabel ('$F1,\ F2,\ F3\ |\ Label$', fontsize = 20, rotation = 180)
ax.set_zlabel ('$Samples$', fontsize = 20, rotation = 0)
ax.set_xlabel ('$Steps$', fontsize = 20, rotation = 0)
ax.plot ([3.], [1.], [5.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$9$', markersize = 9, alpha = 0.6)
ax.plot ([3.], [2.], [5.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$8$', markersize = 9, alpha = 0.6)
ax.plot ([3.], [3.], [5.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$7$', markersize = 9, alpha = 0.6)
ax.plot ([2.], [1.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$6$', markersize = 9, alpha = 0.6)
ax.plot ([2.], [2.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$5$', markersize = 9, alpha = 0.6)
ax.plot ([2.], [3.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$4$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [1.], [5.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$3$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [5.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$2$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [5.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$1$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [0.], [1.], markerfacecolor = 'r', markeredgecolor = 'r', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [0.], [2.], markerfacecolor = 'g', markeredgecolor = 'g', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [0.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = 'o', markersize = 9, alpha = 0.6)
ax.plot ([3.], [1.], [3.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$90$', markersize = 9, alpha = 0.6)
ax.plot ([3.], [2.], [3.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$80$', markersize = 9, alpha = 0.6)
ax.plot ([3.], [3.], [3.], markerfacecolor = 'r', markeredgecolor = 'r', marker = '$70$', markersize = 9, alpha = 0.6)
ax.plot ([2.], [1.], [3.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$60$', markersize = 9, alpha = 0.6)
ax.plot ([2.], [2.], [3.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$50$', markersize = 9, alpha = 0.6)
ax.plot ([2.], [3.], [3.], markerfacecolor = 'g', markeredgecolor = 'g', marker = '$30$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [1.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$30$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [2.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$20$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [3.], [3.], markerfacecolor = 'b', markeredgecolor = 'b', marker = '$10$', markersize = 9, alpha = 0.6)
ax.plot ([1.], [0.], [4.], markerfacecolor = 'r', markeredgecolor = 'r', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [0.], [5.], markerfacecolor = 'g', markeredgecolor = 'g', marker = 'X', markersize = 9, alpha = 0.6)
ax.plot ([1.], [0.], [6.], markerfacecolor = 'b', markeredgecolor = 'b', marker = 'o', markersize = 9, alpha = 0.6)
plt.show ()
| 68.138298
| 118
| 0.570648
| 882
| 6,405
| 4.134921
| 0.0839
| 0.026871
| 0.210584
| 0.223746
| 0.954209
| 0.954209
| 0.931725
| 0.924596
| 0.924321
| 0.912805
| 0
| 0.073722
| 0.163466
| 6,405
| 93
| 119
| 68.870968
| 0.606943
| 0.004684
| 0
| 0.151515
| 0
| 0
| 0.0488
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.045455
| 0
| 0.045455
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
4a54ee2bf37c7096bfddf6a4cc790a7220f1fe4b
| 390
|
py
|
Python
|
prediction/values.py
|
FelixAugenstein/digital-tech-tutorial-watson-studio-part-v
|
de90b4c8b37e69631f3d2aee4b08b3e846043455
|
[
"Apache-2.0"
] | null | null | null |
prediction/values.py
|
FelixAugenstein/digital-tech-tutorial-watson-studio-part-v
|
de90b4c8b37e69631f3d2aee4b08b3e846043455
|
[
"Apache-2.0"
] | null | null | null |
prediction/values.py
|
FelixAugenstein/digital-tech-tutorial-watson-studio-part-v
|
de90b4c8b37e69631f3d2aee4b08b3e846043455
|
[
"Apache-2.0"
] | null | null | null |
# prediction values
def predictionValues(predictions):
predictionValues.prediction_churn_true_or_false = predictions['predictions'][0]['values'][0][0]
predictionValues.prediction_churn_true_or_false_percentage_one = predictions['predictions'][0]['values'][0][1][0]
predictionValues.prediction_churn_true_or_false_percentage_two = predictions['predictions'][0]['values'][0][1][1]
| 78
| 117
| 0.792308
| 47
| 390
| 6.234043
| 0.297872
| 0.266212
| 0.317406
| 0.358362
| 0.819113
| 0.716724
| 0.361775
| 0.361775
| 0
| 0
| 0
| 0.030137
| 0.064103
| 390
| 5
| 118
| 78
| 0.772603
| 0.04359
| 0
| 0
| 0
| 0
| 0.137097
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4a6128b6cb9217c1cbd97839277157478c37c9b6
| 17,375
|
py
|
Python
|
schevo/test/test_equivalent.py
|
Schevo/schevo
|
d57a41f8b7b514ed48dc0164dcd3412a89e9873b
|
[
"MIT"
] | 1
|
2020-09-05T00:47:50.000Z
|
2020-09-05T00:47:50.000Z
|
schevo/test/test_equivalent.py
|
Schevo/schevo
|
d57a41f8b7b514ed48dc0164dcd3412a89e9873b
|
[
"MIT"
] | null | null | null |
schevo/test/test_equivalent.py
|
Schevo/schevo
|
d57a41f8b7b514ed48dc0164dcd3412a89e9873b
|
[
"MIT"
] | null | null | null |
"""Database equivalence tests.
NOTE: These do not test against the format 1 database engine, as
schevo.database.equivalent is engine-agnostic and some of these tests
depend on field types that may only be used in format 2 databases."""
# Copyright (c) 2001-2009 ElevenCraft Inc.
# See LICENSE for details.
from textwrap import dedent
from schevo.backend import backends
from schevo.database import equivalent
from schevo.test import CreatesSchema, ComparesDatabases
# Make sure we can import the testschema_equivalent_* packages.
import os
import sys
tests_path = os.path.dirname(os.path.abspath(__file__))
if tests_path not in sys.path:
sys.path.insert(0, tests_path)
class TestAllEquivalenceGood(ComparesDatabases):
schemata = 'testschema_equivalent_good'
class TestAllEquivalenceBad(ComparesDatabases):
schemata = 'testschema_equivalent_bad'
expected_failure = True
class TestIsEquivalent(CreatesSchema):
body = '''
class Foo(E.Entity):
"""Unicode field, with key."""
name = f.string()
_key(name)
_initial_priority = 100
_initial = [
(u'one', ),
(u'two', ),
(u'three', ),
]
class Far(E.Entity):
"""Integer field, no keys."""
number = f.integer()
_initial_priority = 100
_initial = [
(1, ),
(2, ),
(3, ),
(3, ),
(3, ),
]
class Faz(E.Entity):
"""Entity field, no keys."""
foo = f.entity('Foo')
_key(foo)
_initial_priority = 90
_initial = [
((u'one', ), ),
((u'two', ), ),
((u'three', ), ),
]
class Fiz(E.Entity):
"""Entity list field, no key."""
fazs = f.entity_list('Faz')
_initial_priority = 80
@extentmethod
def _initial(extent, db):
db.execute(extent.t.create(fazs=[
db.Faz.findone(foo=db.Foo.findone(name=u'three')),
db.Faz.findone(foo=db.Foo.findone(name=u'two')),
db.Faz.findone(foo=db.Foo.findone(name=u'one')),
]))
db.execute(extent.t.create(fazs=[
db.Faz.findone(foo=db.Foo.findone(name=u'one')),
db.Faz.findone(foo=db.Foo.findone(name=u'two')),
]))
class FobOne(E.Entity):
"""Entity, recursing with FobTwo."""
fob_two = f.entity('FobTwo', required=False)
@extentmethod
def _initial(extent, db):
fob_one = db.execute(extent.t.create())
fob_two = db.execute(db.FobTwo.t.create(fob_one=fob_one))
db.execute(fob_one.t.update(fob_two=fob_two))
class FobTwo(E.Entity):
"""See FobOne."""
fob_one = f.entity('FobOne')
class EveryField(E.Entity):
"""Every built-in non-may_store_entities field."""
string = f.string(required=False)
bytes = f.bytes(required=False)
integer = f.integer(required=False)
float = f.float(required=False)
money = f.money(required=False)
date = f.date(required=False)
datetime = f.datetime(required=False)
boolean = f.boolean(required=False)
_initial = [
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(u'string',
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
'bytes',
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
42,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
42.424242,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
42.42,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
'2005-04-03',
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
'2005-04-03 02:01:00',
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
True,
),
]
'''
body2 = '''
class Foo(E.Entity):
"""Unicode field, with key."""
name = f.string()
_key(name)
_initial_priority = 100
_initial = [
(u'three', ),
(u'two', ),
(u'one', ),
]
class Far(E.Entity):
"""Integer field, no keys."""
number = f.integer()
_initial_priority = 100
_initial = [
(3, ),
(3, ),
(3, ),
(1, ),
(2, ),
]
class Faz(E.Entity):
"""Entity field, with key."""
foo = f.entity('Foo')
_key(foo)
_initial_priority = 90
_initial = [
((u'two', ), ),
((u'one', ), ),
((u'three', ), ),
]
class Fiz(E.Entity):
"""Entity list field, no key."""
fazs = f.entity_list('Faz')
_initial_priority = 80
@extentmethod
def _initial(extent, db):
db.execute(extent.t.create(fazs=[
db.Faz.findone(foo=db.Foo.findone(name=u'one')),
db.Faz.findone(foo=db.Foo.findone(name=u'two')),
]))
db.execute(extent.t.create(fazs=[
db.Faz.findone(foo=db.Foo.findone(name=u'three')),
db.Faz.findone(foo=db.Foo.findone(name=u'two')),
db.Faz.findone(foo=db.Foo.findone(name=u'one')),
]))
class FobOne(E.Entity):
"""Entity, recursing with FobTwo."""
fob_two = f.entity('FobTwo', required=False)
@extentmethod
def _initial(extent, db):
fob_one = db.execute(extent.t.create())
fob_two = db.execute(db.FobTwo.t.create(fob_one=fob_one))
db.execute(fob_one.t.update(fob_two=fob_two))
class FobTwo(E.Entity):
"""See FobOne."""
fob_one = f.entity('FobOne')
class EveryField(E.Entity):
"""Every built-in non-may_store_entities field."""
string = f.string(required=False)
bytes = f.bytes(required=False)
integer = f.integer(required=False)
float = f.float(required=False)
money = f.money(required=False)
date = f.date(required=False)
datetime = f.datetime(required=False)
boolean = f.boolean(required=False)
_initial = [
(u'string',
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
42,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
42.424242,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
'bytes',
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
'2005-04-03 02:01:00',
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
True,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
42.42,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
),
(UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
UNASSIGNED,
'2005-04-03',
UNASSIGNED,
UNASSIGNED,
),
]
'''
def test_properly_opened(self):
self.open('2')
assert db.schema_source != db2.schema_source
def test_identical_schema_source_not_required(self):
self.open('2')
assert equivalent(db, db2, require_identical_schema_source=False)
def test_identical_schema_source_required(self):
self.open('2')
assert not equivalent(db, db2)
class BaseDataNotEquivalent(CreatesSchema):
def test(self):
self.open('2')
assert not equivalent(db, db2, require_identical_schema_source=False)
class TestDataNotEquivalentString(BaseDataNotEquivalent):
body = '''
class Foo(E.Entity):
name = f.string()
_key(name)
_initial = [
('one', ),
('two', ),
('three', ),
]
'''
body2 = '''
class Foo(E.Entity):
name = f.string()
_key(name)
_initial = [
('four', ),
('two', ),
('one', ),
]
'''
class TestDataNotEquivalentBytes(BaseDataNotEquivalent):
body = '''
class Foo(E.Entity):
thing = f.bytes()
_key(thing)
_initial = [
('one', ),
('two', ),
('three', ),
]
'''
body2 = '''
class Foo(E.Entity):
thing = f.bytes()
_key(thing)
_initial = [
('four', ),
('two', ),
('one', ),
]
'''
class TestDataNotEquivalentInteger(BaseDataNotEquivalent):
body = '''
class Far(E.Entity):
"""Integer field, no keys."""
number = f.integer()
_initial = [
(1, ),
(2, ),
(3, ),
(3, ),
(3, ),
]
'''
body2 = '''
class Far(E.Entity):
"""Integer field, no keys."""
number = f.integer()
_initial = [
(1, ),
(2, ),
(3, ),
(3, ),
(4, ),
]
'''
class TestDataNotEquivalentFloat(BaseDataNotEquivalent):
body = '''
class Far(E.Entity):
number = f.float()
_initial = [
(1.1, ),
(2.2, ),
(3.3, ),
(3.3, ),
(3.3, ),
]
'''
body2 = '''
class Far(E.Entity):
number = f.float()
_initial = [
(1.1, ),
(2.2, ),
(3.3, ),
(3.3, ),
(4.4, ),
]
'''
class TestDataNotEquivalentMoney(BaseDataNotEquivalent):
body = '''
class Far(E.Entity):
amount = f.money()
_initial = [
(1.11, ),
(2.22, ),
(3.33, ),
(3.33, ),
(3.33, ),
]
'''
body2 = '''
class Far(E.Entity):
amount = f.money()
_initial = [
(1.11, ),
(2.22, ),
(3.33, ),
(3.33, ),
(4.44, ),
]
'''
class TestDataNotEquivalentDate(BaseDataNotEquivalent):
body = '''
class Far(E.Entity):
"""Integer field, no keys."""
date = f.date()
_initial = [
('2001-01-01', ),
('2002-02-02', ),
('2003-03-03', ),
('2003-03-03', ),
('2003-03-03', ),
]
'''
body2 = '''
class Far(E.Entity):
date = f.date()
_initial = [
('2001-01-01', ),
('2002-02-02', ),
('2003-03-03', ),
('2003-03-03', ),
('2004-04-04', ),
]
'''
class TestDataNotEquivalentDatetime(BaseDataNotEquivalent):
body = '''
class Far(E.Entity):
datetime = f.datetime()
_initial = [
('2001-01-01 01:11:11', ),
('2002-02-02 02:22:22', ),
('2003-03-03 03:33:33', ),
('2003-03-03 03:33:33', ),
('2003-03-03 03:33:33', ),
]
'''
body2 = '''
class Far(E.Entity):
datetime = f.datetime()
_initial = [
('2001-01-01 01:11:11', ),
('2002-02-02 02:22:22', ),
('2003-03-03 03:33:33', ),
('2003-03-03 03:33:33', ),
('2003-04-04 04:44:44', ),
]
'''
class TestDataNotEquivalentBoolean(BaseDataNotEquivalent):
body = '''
class Far(E.Entity):
flag = f.boolean()
_initial = [
(True, ),
(False, ),
(True, ),
(False, ),
(True, ),
]
'''
body2 = '''
class Far(E.Entity):
flag = f.boolean()
_initial = [
(True, ),
(False, ),
(True, ),
(False, ),
(False, ),
]
'''
class TestDataNotEquivalentEntity(BaseDataNotEquivalent):
body = '''
class Far(E.Entity):
faz = f.entity('Faz')
_initial = [
((u"Faz1", ), ),
((u"Faz2", ), ),
((u"Faz3", ), ),
((u"Faz3", ), ),
((u"Faz3", ), ),
]
class Faz(E.Entity):
name = f.string()
_key(name)
_initial = [
(u"Faz1", ),
(u"Faz2", ),
(u"Faz3", ),
]
'''
body2 = '''
class Far(E.Entity):
faz = f.entity('Faz')
_initial = [
((u"Faz1", ), ),
((u"Faz2", ), ),
((u"Faz3", ), ),
((u"Faz3", ), ),
((u"Faz2", ), ),
]
class Faz(E.Entity):
name = f.string()
_key(name)
_initial = [
(u"Faz2", ),
(u"Faz3", ),
(u"Faz1", ),
]
'''
| 23.736339
| 77
| 0.380777
| 1,312
| 17,375
| 4.95503
| 0.134909
| 0.344562
| 0.443009
| 0.498385
| 0.81649
| 0.792801
| 0.748654
| 0.746501
| 0.716659
| 0.700354
| 0
| 0.04925
| 0.501007
| 17,375
| 731
| 78
| 23.76881
| 0.700577
| 0.020662
| 0
| 0.877256
| 0
| 0
| 0.882585
| 0.080962
| 0
| 0
| 0
| 0
| 0.00722
| 1
| 0.00722
| false
| 0
| 0.01083
| 0
| 0.083032
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
4a66b41664f08e7d8a1eab7b858ecff619a86839
| 161
|
py
|
Python
|
django/contrib/gis/db/models/sql/__init__.py
|
Yuanoung/djg-master
|
40413f268dd7dc3ca2d48f51c9327928b0b922de
|
[
"BSD-3-Clause"
] | 91
|
2015-01-05T01:10:51.000Z
|
2021-09-26T18:01:53.000Z
|
django/contrib/gis/db/models/sql/__init__.py
|
eduncan911/django104
|
710acf976367ffd2b18a307ed61def75f6a460f0
|
[
"BSD-3-Clause"
] | 4
|
2015-07-05T21:09:37.000Z
|
2019-09-06T14:34:59.000Z
|
django/contrib/gis/db/models/sql/__init__.py
|
eduncan911/django104
|
710acf976367ffd2b18a307ed61def75f6a460f0
|
[
"BSD-3-Clause"
] | 32
|
2015-04-03T04:29:45.000Z
|
2021-09-14T21:36:02.000Z
|
from django.contrib.gis.db.models.sql.query import AreaField, DistanceField, GeomField, GeoQuery
from django.contrib.gis.db.models.sql.where import GeoWhereNode
| 53.666667
| 96
| 0.838509
| 23
| 161
| 5.869565
| 0.652174
| 0.148148
| 0.251852
| 0.296296
| 0.459259
| 0.459259
| 0.459259
| 0
| 0
| 0
| 0
| 0
| 0.068323
| 161
| 2
| 97
| 80.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| null | 0
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
4ab55fd6665568825b9e6a39ee182a60b7ed648b
| 44
|
py
|
Python
|
examples/phobos/tests/test_std_demangle.py
|
kinke/autowrap
|
2f042df3f292aa39b1da0b9607fbe3424f56ff4a
|
[
"BSD-3-Clause"
] | 47
|
2019-07-16T10:38:07.000Z
|
2022-03-30T16:34:24.000Z
|
examples/phobos/tests/test_std_demangle.py
|
kinke/autowrap
|
2f042df3f292aa39b1da0b9607fbe3424f56ff4a
|
[
"BSD-3-Clause"
] | 199
|
2019-06-17T23:24:40.000Z
|
2021-06-16T16:41:36.000Z
|
examples/phobos/tests/test_std_demangle.py
|
kinke/autowrap
|
2f042df3f292aa39b1da0b9607fbe3424f56ff4a
|
[
"BSD-3-Clause"
] | 7
|
2019-09-13T18:03:49.000Z
|
2022-01-17T03:53:00.000Z
|
def test_import():
import std_demangle
| 11
| 23
| 0.727273
| 6
| 44
| 5
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.204545
| 44
| 3
| 24
| 14.666667
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 1
| 0
| 1.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
4362e1d51aaa59cab6a9064eae21d22758d43fac
| 30,530
|
py
|
Python
|
src/containerapp/azext_containerapp/_clients.py
|
haroonf/azure-cli-extensions
|
61c044d34c224372f186934fa7c9313f1cd3a525
|
[
"MIT"
] | null | null | null |
src/containerapp/azext_containerapp/_clients.py
|
haroonf/azure-cli-extensions
|
61c044d34c224372f186934fa7c9313f1cd3a525
|
[
"MIT"
] | null | null | null |
src/containerapp/azext_containerapp/_clients.py
|
haroonf/azure-cli-extensions
|
61c044d34c224372f186934fa7c9313f1cd3a525
|
[
"MIT"
] | null | null | null |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
# pylint: disable=line-too-long, super-with-arguments, too-many-instance-attributes, consider-using-f-string, no-else-return, no-self-use
import json
import time
import sys
from azure.cli.core.util import send_raw_request
from azure.cli.core.commands.client_factory import get_subscription_id
from knack.log import get_logger
logger = get_logger(__name__)
API_VERSION = "2021-03-01"
PREVIEW_API_VERSION = "2022-01-01-preview"
STABLE_API_VERSION = "2022-03-01"
POLLING_TIMEOUT = 60 # how many seconds before exiting
POLLING_SECONDS = 2 # how many seconds between requests
class PollingAnimation():
def __init__(self):
self.tickers = ["/", "|", "\\", "-", "/", "|", "\\", "-"]
self.currTicker = 0
def tick(self):
sys.stdout.write('\r')
sys.stdout.write(self.tickers[self.currTicker] + " Running ..")
sys.stdout.flush()
self.currTicker += 1
self.currTicker = self.currTicker % len(self.tickers)
def flush(self):
sys.stdout.flush()
sys.stdout.write('\r')
sys.stdout.write("\033[K")
def poll(cmd, request_url, poll_if_status): # pylint: disable=inconsistent-return-statements
try:
start = time.time()
end = time.time() + POLLING_TIMEOUT
animation = PollingAnimation()
animation.tick()
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
while r.status_code in [200, 201] and start < end:
time.sleep(POLLING_SECONDS)
animation.tick()
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
r2 = r.json()
if "properties" not in r2 or "provisioningState" not in r2["properties"] or not r2["properties"]["provisioningState"].lower() == poll_if_status:
break
start = time.time()
animation.flush()
return r.json()
except Exception as e: # pylint: disable=broad-except
animation.flush()
delete_statuses = ["scheduledfordelete", "cancelled"]
if poll_if_status not in delete_statuses: # Catch "not found" errors if polling for delete
raise e
class ContainerAppClient():
@classmethod
def create_or_update(cls, cmd, resource_group_name, name, container_app_envelope, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "PUT", request_url, body=json.dumps(container_app_envelope))
if no_wait:
return r.json()
elif r.status_code == 201:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
return poll(cmd, request_url, "inprogress")
return r.json()
@classmethod
def update(cls, cmd, resource_group_name, name, container_app_envelope, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = STABLE_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "PATCH", request_url, body=json.dumps(container_app_envelope))
if no_wait:
return r.json()
elif r.status_code == 202:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
return poll(cmd, request_url, "inprogress")
return r.json()
@classmethod
def delete(cls, cmd, resource_group_name, name, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "DELETE", request_url)
if no_wait:
return # API doesn't return JSON (it returns no content)
elif r.status_code in [200, 201, 202, 204]:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
if r.status_code == 202:
from azure.cli.core.azclierror import ResourceNotFoundError
try:
poll(cmd, request_url, "cancelled")
except ResourceNotFoundError:
pass
logger.warning('Containerapp successfully deleted')
@classmethod
def show(cls, cmd, resource_group_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
return r.json()
@classmethod
def list_by_subscription(cls, cmd, formatter=lambda x: x):
app_list = []
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
request_url = "{}/subscriptions/{}/providers/Microsoft.App/containerApps?api-version={}".format(
management_hostname.strip('/'),
sub_id,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
app_list.append(formatted)
while j.get("nextLink") is not None:
request_url = j["nextLink"]
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
app_list.append(formatted)
return app_list
@classmethod
def list_by_resource_group(cls, cmd, resource_group_name, formatter=lambda x: x):
app_list = []
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
app_list.append(formatted)
while j.get("nextLink") is not None:
request_url = j["nextLink"]
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
app_list.append(formatted)
return app_list
@classmethod
def list_secrets(cls, cmd, resource_group_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/listSecrets?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "POST", request_url, body=None)
return r.json()
@classmethod
def list_revisions(cls, cmd, resource_group_name, name, formatter=lambda x: x):
revisions_list = []
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/revisions?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
revisions_list.append(formatted)
while j.get("nextLink") is not None:
request_url = j["nextLink"]
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
revisions_list.append(formatted)
return revisions_list
@classmethod
def show_revision(cls, cmd, resource_group_name, container_app_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/revisions/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
container_app_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
return r.json()
@classmethod
def restart_revision(cls, cmd, resource_group_name, container_app_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/revisions/{}/restart?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
container_app_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "POST", request_url)
return r.json()
@classmethod
def activate_revision(cls, cmd, resource_group_name, container_app_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/revisions/{}/activate?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
container_app_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "POST", request_url)
return r.json()
@classmethod
def deactivate_revision(cls, cmd, resource_group_name, container_app_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/revisions/{}/deactivate?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
container_app_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "POST", request_url)
return r.json()
@classmethod
def list_replicas(cls, cmd, resource_group_name, container_app_name, revision_name):
replica_list = []
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/revisions/{}/replicas?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
container_app_name,
revision_name,
STABLE_API_VERSION)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for replica in j["value"]:
replica_list.append(replica)
while j.get("nextLink") is not None:
request_url = j["nextLink"]
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for replica in j["value"]:
replica_list.append(replica)
return replica_list
@classmethod
def get_replica(cls, cmd, resource_group_name, container_app_name, revision_name, replica_name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/revisions/{}/replicas/{}/?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
container_app_name,
revision_name,
replica_name,
STABLE_API_VERSION)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
return r.json()
@classmethod
def get_auth_token(cls, cmd, resource_group_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/authtoken?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
STABLE_API_VERSION)
r = send_raw_request(cmd.cli_ctx, "POST", request_url)
return r.json()
class ManagedEnvironmentClient():
@classmethod
def create(cls, cmd, resource_group_name, name, managed_environment_envelope, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "PUT", request_url, body=json.dumps(managed_environment_envelope))
if no_wait:
return r.json()
elif r.status_code == 201:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
return poll(cmd, request_url, "waiting")
return r.json()
@classmethod
def update(cls, cmd, resource_group_name, name, managed_environment_envelope, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "PATCH", request_url, body=json.dumps(managed_environment_envelope))
if no_wait:
return r.json()
elif r.status_code == 201:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
return poll(cmd, request_url, "waiting")
return r.json()
@classmethod
def delete(cls, cmd, resource_group_name, name, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "DELETE", request_url)
if no_wait:
return # API doesn't return JSON (it returns no content)
elif r.status_code in [200, 201, 202, 204]:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
if r.status_code == 202:
from azure.cli.core.azclierror import ResourceNotFoundError
try:
poll(cmd, request_url, "scheduledfordelete")
except ResourceNotFoundError:
pass
logger.warning('Containerapp environment successfully deleted')
return
@classmethod
def show(cls, cmd, resource_group_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
return r.json()
@classmethod
def list_by_subscription(cls, cmd, formatter=lambda x: x):
env_list = []
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
request_url = "{}/subscriptions/{}/providers/Microsoft.App/managedEnvironments?api-version={}".format(
management_hostname.strip('/'),
sub_id,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for env in j["value"]:
formatted = formatter(env)
env_list.append(formatted)
while j.get("nextLink") is not None:
request_url = j["nextLink"]
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for env in j["value"]:
formatted = formatter(env)
env_list.append(formatted)
return env_list
@classmethod
def list_by_resource_group(cls, cmd, resource_group_name, formatter=lambda x: x):
env_list = []
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for env in j["value"]:
formatted = formatter(env)
env_list.append(formatted)
while j.get("nextLink") is not None:
request_url = j["nextLink"]
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for env in j["value"]:
formatted = formatter(env)
env_list.append(formatted)
return env_list
class GitHubActionClient():
@classmethod
def create_or_update(cls, cmd, resource_group_name, name, github_action_envelope, headers, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = STABLE_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/sourcecontrols/current?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "PUT", request_url, body=json.dumps(github_action_envelope), headers=headers)
if no_wait:
return r.json()
elif r.status_code == 201:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/sourcecontrols/current?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
return poll(cmd, request_url, "inprogress")
return r.json()
@classmethod
def show(cls, cmd, resource_group_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = STABLE_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/sourcecontrols/current?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
return r.json()
@classmethod
def delete(cls, cmd, resource_group_name, name, headers, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/sourcecontrols/current?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "DELETE", request_url, headers=headers)
if no_wait:
return # API doesn't return JSON (it returns no content)
elif r.status_code in [200, 201, 202, 204]:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/containerApps/{}/sourcecontrols/current?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
name,
api_version)
if r.status_code == 202:
from azure.cli.core.azclierror import ResourceNotFoundError
try:
poll(cmd, request_url, "cancelled")
except ResourceNotFoundError:
pass
logger.warning('Containerapp github action successfully deleted')
return
class DaprComponentClient():
@classmethod
def create_or_update(cls, cmd, resource_group_name, environment_name, name, dapr_component_envelope, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}/daprComponents/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
environment_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "PUT", request_url, body=json.dumps(dapr_component_envelope))
if no_wait:
return r.json()
elif r.status_code == 201:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}/daprComponents/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
environment_name,
name,
api_version)
return poll(cmd, request_url, "inprogress")
return r.json()
@classmethod
def delete(cls, cmd, resource_group_name, environment_name, name, no_wait=False):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}/daprComponents/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
environment_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "DELETE", request_url)
if no_wait:
return # API doesn't return JSON (it returns no content)
elif r.status_code in [200, 201, 202, 204]:
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}/daprComponents/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
environment_name,
name,
api_version)
if r.status_code == 202:
from azure.cli.core.azclierror import ResourceNotFoundError
try:
poll(cmd, request_url, "cancelled")
except ResourceNotFoundError:
pass
logger.warning('Dapr component successfully deleted')
return
@classmethod
def show(cls, cmd, resource_group_name, environment_name, name):
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
url_fmt = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}/daprComponents/{}?api-version={}"
request_url = url_fmt.format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
environment_name,
name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
return r.json()
@classmethod
def list(cls, cmd, resource_group_name, environment_name, formatter=lambda x: x):
app_list = []
management_hostname = cmd.cli_ctx.cloud.endpoints.resource_manager
api_version = PREVIEW_API_VERSION
sub_id = get_subscription_id(cmd.cli_ctx)
request_url = "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.App/managedEnvironments/{}/daprComponents?api-version={}".format(
management_hostname.strip('/'),
sub_id,
resource_group_name,
environment_name,
api_version)
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
app_list.append(formatted)
while j.get("nextLink") is not None:
request_url = j["nextLink"]
r = send_raw_request(cmd.cli_ctx, "GET", request_url)
j = r.json()
for app in j["value"]:
formatted = formatter(app)
app_list.append(formatted)
return app_list
| 38.743655
| 156
| 0.610875
| 3,363
| 30,530
| 5.256913
| 0.065715
| 0.072968
| 0.047344
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| 0.900277
| 0.899316
| 0.888512
| 0.883308
| 0.880762
| 0.87635
| 0
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| 0.277432
| 30,530
| 787
| 157
| 38.792884
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0
| 7
|
4386ca05bc59a6799fa4e0b3c4c86da501c39da3
| 2,503
|
py
|
Python
|
experiment_scripts/paper_runs/big_batch/make_mnist.py
|
jacqueschen1/adam_sgd_heavy_tails
|
d4ecab6d460fb44ac3fd2b865641b8e47f3848ee
|
[
"Apache-2.0"
] | 1
|
2021-12-02T21:47:46.000Z
|
2021-12-02T21:47:46.000Z
|
experiment_scripts/paper_runs/big_batch/make_mnist.py
|
jacqueschen1/adam_sgd_heavy_tails
|
d4ecab6d460fb44ac3fd2b865641b8e47f3848ee
|
[
"Apache-2.0"
] | null | null | null |
experiment_scripts/paper_runs/big_batch/make_mnist.py
|
jacqueschen1/adam_sgd_heavy_tails
|
d4ecab6d460fb44ac3fd2b865641b8e47f3848ee
|
[
"Apache-2.0"
] | null | null | null |
# 2 hours normal gpu
import numpy as np
import explib
def merge_grids(*grids):
return sorted(list(set.union(*[set(grid) for grid in grids])))
EXPERIMENTS = []
EXPERIMENTS_SGD = [
{
"loss_func": "logloss",
"metrics": ["accuracy"],
"dataset": "mnist",
"model": "lenet5",
"batch_size": b_size,
"max_epoch": 200,
"seed": seed,
"opt": {
"name": "SGD",
"alpha": alpha,
},
"drop_last": True,
"final_reruns": True,
}
for alpha in np.logspace(-6, 2, num=9, base=10)
for seed in range(5)
for b_size in [4096, 8192, 16384]
]
EXPERIMENTS_ADAM = [
{
"loss_func": "logloss",
"metrics": ["accuracy"],
"dataset": "mnist",
"model": "lenet5",
"batch_size": b_size,
"max_epoch": 200,
"seed": seed,
"opt": {
"name": "Adam",
"alpha": alpha,
"b1": 0.9,
"b2": 0.999,
},
"drop_last": True,
"final_reruns": True,
}
for alpha in np.logspace(-6, 2, num=9, base=10)
for seed in range(5)
for b_size in [4096, 8192, 16384]
]
EXPERIMENTS.extend(EXPERIMENTS_SGD)
EXPERIMENTS.extend(EXPERIMENTS_ADAM)
EXPERIMENTS_SGD = [
{
"loss_func": "logloss",
"metrics": ["accuracy"],
"dataset": "mnist",
"model": "lenet5",
"batch_size": b_size,
"max_epoch": 200,
"seed": seed,
"opt": {
"name": "SGD",
"alpha": alpha,
"momentum": 0.9,
},
"drop_last": True,
"final_reruns": True,
}
for alpha in np.logspace(-6, 2, num=9, base=10)
for seed in range(5)
for b_size in [60000]
]
EXPERIMENTS_ADAM = [
{
"loss_func": "logloss",
"metrics": ["accuracy"],
"dataset": "mnist",
"model": "lenet5",
"batch_size": b_size,
"max_epoch": 200,
"seed": seed,
"opt": {
"name": "Adam",
"alpha": alpha,
"b1": 0,
"b2": 0.999,
},
"drop_last": True,
"final_reruns": True,
}
for alpha in np.logspace(-6, 2, num=9, base=10)
for seed in range(5)
for b_size in [60000]
]
EXPERIMENTS.extend(EXPERIMENTS_SGD)
EXPERIMENTS.extend(EXPERIMENTS_ADAM)
if __name__ == "__main__":
explib.expmaker.experiment_maker_cli(
descr="all experiments", experiments=EXPERIMENTS
)
| 22.54955
| 66
| 0.502197
| 281
| 2,503
| 4.30605
| 0.259786
| 0.033058
| 0.049587
| 0.072727
| 0.826446
| 0.826446
| 0.826446
| 0.826446
| 0.740496
| 0.740496
| 0
| 0.056935
| 0.340392
| 2,503
| 110
| 67
| 22.754545
| 0.675954
| 0.007191
| 0
| 0.714286
| 0
| 0
| 0.19855
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.010204
| false
| 0
| 0.020408
| 0.010204
| 0.040816
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
60bd8254f2c37008fa33171db286787ced8c7f61
| 2,828
|
py
|
Python
|
project_euler/problem_08/sol2.py
|
JB1959/Python
|
b6ca263983933c3ecc06ed0083dd11b6faf870c8
|
[
"MIT"
] | 14
|
2020-10-03T05:43:48.000Z
|
2021-11-01T21:02:26.000Z
|
project_euler/problem_08/sol2.py
|
JB1959/Python
|
b6ca263983933c3ecc06ed0083dd11b6faf870c8
|
[
"MIT"
] | 3
|
2020-06-08T07:03:15.000Z
|
2020-06-08T08:41:22.000Z
|
project_euler/problem_08/sol2.py
|
JB1959/Python
|
b6ca263983933c3ecc06ed0083dd11b6faf870c8
|
[
"MIT"
] | 12
|
2020-10-03T05:44:19.000Z
|
2022-01-16T05:37:54.000Z
|
"""
The four adjacent digits in the 1000-digit number that have the greatest
product are 9 × 9 × 8 × 9 = 5832.
73167176531330624919225119674426574742355349194934
96983520312774506326239578318016984801869478851843
85861560789112949495459501737958331952853208805511
12540698747158523863050715693290963295227443043557
66896648950445244523161731856403098711121722383113
62229893423380308135336276614282806444486645238749
30358907296290491560440772390713810515859307960866
70172427121883998797908792274921901699720888093776
65727333001053367881220235421809751254540594752243
52584907711670556013604839586446706324415722155397
53697817977846174064955149290862569321978468622482
83972241375657056057490261407972968652414535100474
82166370484403199890008895243450658541227588666881
16427171479924442928230863465674813919123162824586
17866458359124566529476545682848912883142607690042
24219022671055626321111109370544217506941658960408
07198403850962455444362981230987879927244284909188
84580156166097919133875499200524063689912560717606
05886116467109405077541002256983155200055935729725
71636269561882670428252483600823257530420752963450
Find the thirteen adjacent digits in the 1000-digit number that have the
greatest product. What is the value of this product?
"""
from functools import reduce
N = (
"73167176531330624919225119674426574742355349194934"
"96983520312774506326239578318016984801869478851843"
"85861560789112949495459501737958331952853208805511"
"12540698747158523863050715693290963295227443043557"
"66896648950445244523161731856403098711121722383113"
"62229893423380308135336276614282806444486645238749"
"30358907296290491560440772390713810515859307960866"
"70172427121883998797908792274921901699720888093776"
"65727333001053367881220235421809751254540594752243"
"52584907711670556013604839586446706324415722155397"
"53697817977846174064955149290862569321978468622482"
"83972241375657056057490261407972968652414535100474"
"82166370484403199890008895243450658541227588666881"
"16427171479924442928230863465674813919123162824586"
"17866458359124566529476545682848912883142607690042"
"24219022671055626321111109370544217506941658960408"
"07198403850962455444362981230987879927244284909188"
"84580156166097919133875499200524063689912560717606"
"05886116467109405077541002256983155200055935729725"
"71636269561882670428252483600823257530420752963450"
)
def solution(n):
"""Find the thirteen adjacent digits in the 1000-digit number n that have
the greatest product and returns it.
>>> solution(N)
23514624000
"""
return max(
[
reduce(lambda x, y: int(x) * int(y), n[i : i + 13])
for i in range(len(n) - 12)
]
)
if __name__ == "__main__":
print(solution(str(N)))
| 38.739726
| 77
| 0.853607
| 143
| 2,828
| 16.846154
| 0.503497
| 0.017435
| 0.019925
| 0.023661
| 0.917393
| 0.9066
| 0.9066
| 0.9066
| 0.9066
| 0.9066
| 0
| 0.806899
| 0.108204
| 2,828
| 72
| 78
| 39.277778
| 0.147105
| 0.491867
| 0
| 0
| 0
| 0
| 0.716418
| 0.710732
| 0
| 1
| 0
| 0
| 0
| 1
| 0.03125
| false
| 0
| 0.03125
| 0
| 0.09375
| 0.03125
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
71c7bc51be733dcc6488b8e9360c3e9ba9852f05
| 765
|
py
|
Python
|
quadboost/weak_learner/__init__.py
|
jsleb333/quadboost
|
b4b980ff4af727d5cec0348484a34f34e82168cd
|
[
"MIT"
] | 1
|
2018-08-27T22:56:30.000Z
|
2018-08-27T22:56:30.000Z
|
quadboost/weak_learner/__init__.py
|
jsleb333/quadboost
|
b4b980ff4af727d5cec0348484a34f34e82168cd
|
[
"MIT"
] | null | null | null |
quadboost/weak_learner/__init__.py
|
jsleb333/quadboost
|
b4b980ff4af727d5cec0348484a34f34e82168cd
|
[
"MIT"
] | null | null | null |
try:
from weak_learner_base import _WeakLearnerBase, _Cloner
from ridge import *
from svr import *
from decision_stump import MulticlassDecisionStump
from decision_tree import MulticlassDecisionTree
from random_convolution import RandomConvolution, Filters, LocalFilters, WeightFromBankGenerator, center_weight, normalize_weight, reduce_weight
except ModuleNotFoundError:
from .weak_learner_base import _WeakLearnerBase, _Cloner
from .ridge import *
from .svr import *
from .decision_stump import MulticlassDecisionStump
from .decision_tree import MulticlassDecisionTree
from .random_convolution import RandomConvolution, Filters, LocalFilters, WeightFromBankGenerator, center_weight, normalize_weight, reduce_weight
| 51
| 149
| 0.818301
| 77
| 765
| 7.87013
| 0.350649
| 0.066007
| 0.049505
| 0.062706
| 0.953795
| 0.953795
| 0.953795
| 0.953795
| 0.953795
| 0.953795
| 0
| 0
| 0.147712
| 765
| 14
| 150
| 54.642857
| 0.929448
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.857143
| 0
| 0.857143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 9
|
e0aaa3341f8ad49e202cd3e75ad3d34b3e922bc2
| 25,530
|
py
|
Python
|
StartRace/StartRace.py
|
tejasurya/LASER-BASED-AUTOMATIC-RUN-TIMING-DEVICE
|
ed8c3309e189b52981cd70709a1162996367ea34
|
[
"MIT"
] | null | null | null |
StartRace/StartRace.py
|
tejasurya/LASER-BASED-AUTOMATIC-RUN-TIMING-DEVICE
|
ed8c3309e189b52981cd70709a1162996367ea34
|
[
"MIT"
] | null | null | null |
StartRace/StartRace.py
|
tejasurya/LASER-BASED-AUTOMATIC-RUN-TIMING-DEVICE
|
ed8c3309e189b52981cd70709a1162996367ea34
|
[
"MIT"
] | null | null | null |
import time
import serial
import socket
import sys
import serial.tools.list_ports
import MySQLdb as sql
from selenium import webdriver
track=10
c=0
x=0
z=0
t = False
f = 5
g = 5
h = 5
i = 5
j = 5
k = 5
l = 5
m = 5
n = 5
o = 5
ab = 4
ba = 4
ac = 4
ca = 4
ad = 4
da = 4
ae = 4
ea = 4
af = 4
fa = 4
port = ""
port1 = ""
a = webdriver.Firefox()
a.get("http://localhost/TestStopwatch/index.html")
rank = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0];
db=sql.connect("localhost","root","","automation")
cursor=db.cursor()
query = "select * from tracks;"
cursor.execute(query)
result=cursor.fetchone()
track=int(result[0])
ports=list(serial.tools.list_ports.comports())
if ports[0][1].find('Silicon Labs') != -1:
port = ports[0][0]
elif ports[1][1].find('Silicon Labs') != -1:
port = ports[1][0]
if ports[0][1].find('USB Serial Port') != -1:
port1 = ports[0][0]
elif ports[1][1].find('USB Serial Port') != -1:
port1 = ports[1][0]
#connect Starting Arduino to right side and Finish arduino to the Left side
ser = serial.Serial(port1, 9600)
cer = serial.Serial(port, 9600)
print "Started"
if track==1:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
elif track==2:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
elif track==3:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
elif track==4:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
if ser.read() == 'g' and ca == 4:
print "fourth track false start"
t=True
ca = 2
elif track==5:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
if ser.read() == 'g' and ca == 4:
print "fourth track false start"
t=True
ca = 2
if ser.read() == 'i' and ad == 4:
print "fifth track false start"
t=True
ad = 1
elif track==6:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
if ser.read() == 'g' and ca == 4:
print "fourth track false start"
t=True
ca = 2
if ser.read() == 'i' and ad == 4:
print "fifth track false start"
t=True
ad = 1
if ser.read() == 'k' and da == 4:
print "sixth track false start"
t=True
da = 2
elif track==7:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
if ser.read() == 'g' and ca == 4:
print "fourth track false start"
t=True
ca = 2
if ser.read() == 'i' and ad == 4:
print "fifth track false start"
t=True
ad = 1
if ser.read() == 'k' and da == 4:
print "sixth track false start"
t=True
da = 2
if ser.read() == 'm' and ae == 4:
print "seventh track false start"
t=True
ae = 1
elif track==8:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
if ser.read() == 'g' and ca == 4:
print "fourth track false start"
t=True
ca = 2
if ser.read() == 'i' and ad == 4:
print "fifth track false start"
t=True
ad = 1
if ser.read() == 'k' and da == 4:
print "sixth track false start"
t=True
da = 2
if ser.read() == 'm' and ae == 4:
print "seventh track false start"
t=True
ae = 1
if ser.read() == 'o' and ea == 4:
print "eigth track false start"
t=True
ea = 2
elif track==9:
while x < 5000:
x+=1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
if ser.read() == 'g' and ca == 4:
print "fourth track false start"
t=True
ca = 2
if ser.read() == 'i' and ad == 4:
print "fifth track false start"
t=True
ad = 1
if ser.read() == 'k' and da == 4:
print "sixth track false start"
t=True
da = 2
if ser.read() == 'm' and ae == 4:
print "seventh track false start"
t=True
ae = 1
if ser.read() == 'o' and ea == 4:
print "eigth track false start"
t=True
ea = 2
if ser.read() == 'q' and af == 4:
print "nineth track false start"
t=True
af = 1
elif track==10:
while x < 5000:
x=x+1
if ser.read() == 'a' and ab == 4:
print "first track false start"
t=True
ab = 1
if ser.read() == 'c' and ba == 4:
print "second track false start"
t=True
ba = 2
if ser.read() == 'e' and ac == 4:
print "third track false start"
t=True
ac = 1
if ser.read() == 'g' and ca == 4:
print "fourth track false start"
t=True
ca = 2
if ser.read() == 'i' and ad == 4:
print "fifth track false start"
t=True
ad = 1
if ser.read() == 'k' and da == 4:
print "sixth track false start"
t=True
da = 2
if ser.read() == 'm' and ae == 4:
print "seventh track false start"
t=True
ae = 1
if ser.read() == 'o' and ea == 4:
print "eigth track false start"
t=True
ea = 2
if ser.read() == 'q' and af == 4:
print "nineth track false start"
t=True
af = 1
if ser.read() == 's' and fa == 4:
print "Tenth track false start"
t=True
fa = 1
if t == True:
a.close()
sys.exit()
else :
a.find_element_by_xpath("//button[@title='Start']").click()
ser.close()
xoxo="0"+cer.readline()
if track==1:
while z < 1:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==2:
while z < 2:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==3:
while z < 3:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==4:
while z < 4:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('n') !=-1 and i == 5:
i = 50
if ahf.find('p') !=-1 and i == 50:
rank[z] = 4
z+=1
print "fourth"
i=51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==5:
while z < 5:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('n') !=-1 and i == 5:
i = 50
if ahf.find('p') !=-1 and i == 50:
rank[z] = 4
z+=1
print "fourth"
i=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('r') !=-1 and j == 5:
j=50
if ahf.find('t') !=-1 and j == 50:
rank[z] = 5
z+=1
print "fifth"
j=51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==6:
while z < 6:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('n') !=-1 and i == 5:
i = 50
if ahf.find('p') !=-1 and i == 50:
rank[z] = 4
z+=1
print "fourth"
i=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('r') !=-1 and j == 5:
j=50
if ahf.find('t') !=-1 and j == 50:
rank[z] = 5
z+=1
print "fifth"
j=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('v') !=-1 and k == 5:
k=50
if ahf.find('x') !=-1 and k == 50:
rank[z] = 6
z+=1
print "six"
k = 51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==7:
while z < 7:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('n') !=-1 and i == 5:
i = 50
if ahf.find('p') !=-1 and i == 50:
rank[z] = 4
z+=1
print "fourth"
i=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('r') !=-1 and j == 5:
j=50
if ahf.find('t') !=-1 and j == 50:
rank[z] = 5
z+=1
print "fifth"
j=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('v') !=-1 and k == 5:
k=50
if ahf.find('x') !=-1 and k == 50:
rank[z] = 6
z+=1
print "six"
k = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('z') !=-1 and l == 5:
l = 50
if ahf.find('2') !=-1 and l == 50:
rank[z] = 7
z+=1
print "seven"
l = 51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==8:
while z < 8:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('n') !=-1 and i == 5:
i = 50
if ahf.find('p') !=-1 and i == 50:
rank[z] = 4
z+=1
print "fourth"
i=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('r') !=-1 and j == 5:
j=50
if ahf.find('t') !=-1 and j == 50:
rank[z] = 5
z+=1
print "fifth"
j=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('v') !=-1 and k == 5:
k=50
if ahf.find('x') !=-1 and k == 50:
rank[z] = 6
z+=1
print "six"
k = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('z') !=-1 and l == 5:
l = 50
if ahf.find('2') !=-1 and l == 50:
rank[z] = 7
z+=1
print "seven"
l = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('4') !=-1 and m == 5:
m = 50
if ahf.find('6') !=-1 and m == 50:
rank[z] = 8
z+=1
print "eight"
m=51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==9:
while z < 9:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('n') !=-1 and i == 5:
i = 50
if ahf.find('p') !=-1 and i == 50:
rank[z] = 4
z+=1
print "fourth"
i=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('r') !=-1 and j == 5:
j=50
if ahf.find('t') !=-1 and j == 50:
rank[z] = 5
z+=1
print "fifth"
j=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('v') !=-1 and k == 5:
k=50
if ahf.find('x') !=-1 and k == 50:
rank[z] = 6
z+=1
print "six"
k = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('z') !=-1 and l == 5:
l = 50
if ahf.find('2') !=-1 and l == 50:
rank[z] = 7
z+=1
print "seven"
l = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('4') !=-1 and m == 5:
m = 50
if ahf.find('6') !=-1 and m == 50:
rank[z] = 8
z+=1
print "eight"
m=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('8') !=-1 and n == 5:
n = 50
if ahf.find('!') !=-1 and n == 50:
rank[z] = 9
z+=1
print "nine"
n = 51
a.find_element_by_xpath("//button[@title='Split']").click()
elif track==10:
while z < 10:
abdc=0
ahf = cer.readline()
bhf = cer.readline()
chf = cer.readline()
dhf = cer.readline()
ahf=ahf+bhf+chf+dhf
if ahf.find("b") !=-1 and f == 5:
f = 50
if ahf.find("d") !=-1 and f == 50:
rank[z] = 1
z+=1
print "first"
f=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find("f") !=-1 and g == 5:
g = 50
if ahf.find("h") !=-1 and g == 50:
rank[z] = 2
z+=1
print "second"
g = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('j') !=-1 and h == 5:
h = 50
if ahf.find('l') !=-1 and h == 50:
rank[z] = 3
z+=1
print "third"
h=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('n') !=-1 and i == 5:
i = 50
if ahf.find('p') !=-1 and i == 50:
rank[z] = 4
z+=1
print "fourth"
i=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('r') !=-1 and j == 5:
j=50
if ahf.find('t') !=-1 and j == 50:
rank[z] = 5
z+=1
print "fifth"
j=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('v') !=-1 and k == 5:
k=50
if ahf.find('x') !=-1 and k == 50:
rank[z] = 6
z+=1
print "six"
k = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('z') !=-1 and l == 5:
l = 50
if ahf.find('2') !=-1 and l == 50:
rank[z] = 7
z+=1
print "seven"
l = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('4') !=-1 and m == 5:
m = 50
if ahf.find('6') !=-1 and m == 50:
rank[z] = 8
z+=1
print "eight"
m=51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('8') !=-1 and n == 5:
n = 50
if ahf.find('!') !=-1 and n == 50:
rank[z] = 9
z+=1
print "nine"
n = 51
a.find_element_by_xpath("//button[@title='Split']").click()
if ahf.find('#') !=-1 and o == 5:
o = 50
if ahf.find('%') !=-1 and o == 50:
rank[z] = 10
z+=1
print "ten"
o=51
a.find_element_by_xpath("//button[@title='Split']").click()
print "stop"
a.find_element_by_xpath("//button[@title='Stop']").click()
cer.close()
cur=db.cursor()
time.sleep(10)
query1 = "select * from details;"
cur.execute(query1)
result1 = cur.fetchall()
count = cur.rowcount
row=result1[count-track][0]
strin=""
z=1
while z<=track:
i=track
d = 'cm'
d += `z`
time=str(a.find_element_by_id("time"+str(z)).text)
cur.execute("""UPDATE details SET elapsedtime = %s WHERE sno >= %s AND trackno = %s""" , (time, str(row), str(rank[z-1])))
while i>0:
if int(result1[count-i][2])==rank[z-1]:
strin=str(rank[z-1])+" - "+result1[count-i][1]
a.find_element_by_id(d).send_keys(strin)
i=i-1
z=z+1
db.commit()
db.close()
| 29.720605
| 126
| 0.414963
| 3,529
| 25,530
| 2.950978
| 0.047039
| 0.052814
| 0.095064
| 0.079316
| 0.884098
| 0.877569
| 0.875552
| 0.865758
| 0.856923
| 0.855963
| 0
| 0.061941
| 0.425813
| 25,530
| 859
| 127
| 29.720605
| 0.648475
| 0.002899
| 0
| 0.874126
| 0
| 0
| 0.131678
| 0.053701
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.008159
| null | null | 0.130536
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| null | 0
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| 0
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| 0
| 0
| 0
|
0
| 8
|
e0c4efd653d6e7e04d31311653f44f6b9f6fa896
| 8,522
|
py
|
Python
|
leasing/tests/api/test_lease_basis_of_rent_lock.py
|
suutari-ai/mvj
|
c39dbc692afcb3b26366783414c2d5a88a57b25a
|
[
"MIT"
] | 1
|
2021-01-12T08:14:10.000Z
|
2021-01-12T08:14:10.000Z
|
leasing/tests/api/test_lease_basis_of_rent_lock.py
|
suutari-ai/mvj
|
c39dbc692afcb3b26366783414c2d5a88a57b25a
|
[
"MIT"
] | 249
|
2017-04-18T14:00:13.000Z
|
2022-03-30T12:18:03.000Z
|
leasing/tests/api/test_lease_basis_of_rent_lock.py
|
suutari-ai/mvj
|
c39dbc692afcb3b26366783414c2d5a88a57b25a
|
[
"MIT"
] | 7
|
2017-04-18T08:43:54.000Z
|
2021-07-28T07:29:30.000Z
|
import datetime
import json
import pytest
import pytz
from django.contrib.auth.models import Permission
from django.core.serializers.json import DjangoJSONEncoder
from django.urls import reverse
from leasing.models import LeaseBasisOfRent
@pytest.mark.django_db
def test_lock_lease_basis_of_rent(
django_db_setup, client, lease_test_data, user_factory, lease_basis_of_rent_factory
):
user = user_factory(username="test_user")
user.set_password("test_password")
user.save()
permission_codenames = [
"view_lease",
"change_lease",
"add_leasebasisofrent",
"change_lease_basis_of_rents",
"change_leasebasisofrent",
"change_leasebasisofrent_locked_at",
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username="test_user", password="test_password")
lease = lease_test_data["lease"]
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease, intended_use_id=1, area=12345, area_unit="m2", index_id=1
)
lock_time = datetime.datetime(
year=2010,
month=1,
day=1,
hour=1,
minute=1,
tzinfo=pytz.timezone("Europe/Helsinki"),
)
data = {
"id": lease.id,
"basis_of_rents": [{"id": lease_basis_of_rent.id, "locked_at": lock_time}],
}
url = reverse("lease-detail", kwargs={"pk": lease.id})
response = client.patch(
url,
data=json.dumps(data, cls=DjangoJSONEncoder),
content_type="application/json",
)
assert response.status_code == 200, "%s %s" % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.locked_at == lock_time
@pytest.mark.django_db
def test_cannot_change_locked_lease_basis_of_rent(
django_db_setup, client, lease_test_data, user_factory, lease_basis_of_rent_factory
):
user = user_factory(username="test_user")
user.set_password("test_password")
user.save()
permission_codenames = [
"view_lease",
"change_lease",
"add_leasebasisofrent",
"change_lease_basis_of_rents",
"change_leasebasisofrent",
"change_leasebasisofrent_locked_at",
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username="test_user", password="test_password")
lease = lease_test_data["lease"]
lock_time = datetime.datetime(
year=2010,
month=1,
day=1,
hour=1,
minute=1,
tzinfo=pytz.timezone("Europe/Helsinki"),
)
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
area_unit="m2",
index_id=1,
locked_at=lock_time,
)
data = {
"id": lease.id,
"basis_of_rents": [{"id": lease_basis_of_rent.id, "intended_use_id": 2}],
}
url = reverse("lease-detail", kwargs={"pk": lease.id})
response = client.patch(
url,
data=json.dumps(data, cls=DjangoJSONEncoder),
content_type="application/json",
)
assert response.status_code == 400, "%s %s" % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.intended_use_id == 1
@pytest.mark.django_db
def test_cannot_unclock_locked_lease_basis_of_rent(
django_db_setup, client, lease_test_data, user_factory, lease_basis_of_rent_factory
):
user = user_factory(username="test_user")
user.set_password("test_password")
user.save()
permission_codenames = [
"view_lease",
"change_lease",
"add_leasebasisofrent",
"change_lease_basis_of_rents",
"change_leasebasisofrent",
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username="test_user", password="test_password")
lease = lease_test_data["lease"]
lock_time = datetime.datetime(
year=2010,
month=1,
day=1,
hour=1,
minute=1,
tzinfo=pytz.timezone("Europe/Helsinki"),
)
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
area_unit="m2",
index_id=1,
locked_at=lock_time,
)
data = {
"id": lease.id,
"basis_of_rents": [{"id": lease_basis_of_rent.id, "locked_at": None}],
}
url = reverse("lease-detail", kwargs={"pk": lease.id})
response = client.patch(
url,
data=json.dumps(data, cls=DjangoJSONEncoder),
content_type="application/json",
)
assert response.status_code == 200, "%s %s" % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.locked_at == lock_time
@pytest.mark.django_db
def test_can_unclock_locked_lease_basis_of_rent(
django_db_setup, client, lease_test_data, user_factory, lease_basis_of_rent_factory
):
user = user_factory(username="test_user")
user.set_password("test_password")
user.save()
permission_codenames = [
"view_lease",
"change_lease",
"add_leasebasisofrent",
"change_lease_basis_of_rents",
"change_leasebasisofrent",
"change_leasebasisofrent_locked_at",
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username="test_user", password="test_password")
lease = lease_test_data["lease"]
lock_time = datetime.datetime(
year=2010,
month=1,
day=1,
hour=1,
minute=1,
tzinfo=pytz.timezone("Europe/Helsinki"),
)
lease_basis_of_rent = lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
area_unit="m2",
index_id=1,
locked_at=lock_time,
)
data = {
"id": lease.id,
"basis_of_rents": [{"id": lease_basis_of_rent.id, "locked_at": None}],
}
url = reverse("lease-detail", kwargs={"pk": lease.id})
response = client.patch(
url,
data=json.dumps(data, cls=DjangoJSONEncoder),
content_type="application/json",
)
assert response.status_code == 200, "%s %s" % (response.status_code, response.data)
lease_basis_of_rent = LeaseBasisOfRent.objects.get(pk=lease_basis_of_rent.id)
assert lease_basis_of_rent.locked_at is None
@pytest.mark.django_db
def test_cannot_remove_locked_lease_basis_of_rent(
django_db_setup, client, lease_test_data, user_factory, lease_basis_of_rent_factory
):
user = user_factory(username="test_user")
user.set_password("test_password")
user.save()
permission_codenames = [
"view_lease",
"change_lease",
"add_leasebasisofrent",
"delete_leasebasisofrent",
"change_lease_basis_of_rents",
"change_leasebasisofrent",
"change_leasebasisofrent_locked_at",
]
for permission_codename in permission_codenames:
permission = Permission.objects.get(codename=permission_codename)
user.user_permissions.add(permission)
client.login(username="test_user", password="test_password")
lease = lease_test_data["lease"]
lock_time = datetime.datetime(
year=2010,
month=1,
day=1,
hour=1,
minute=1,
tzinfo=pytz.timezone("Europe/Helsinki"),
)
lease_basis_of_rent_factory(
lease=lease,
intended_use_id=1,
area=12345,
area_unit="m2",
index_id=1,
locked_at=lock_time,
)
data = {"id": lease.id, "basis_of_rents": []}
url = reverse("lease-detail", kwargs={"pk": lease.id})
response = client.patch(
url,
data=json.dumps(data, cls=DjangoJSONEncoder),
content_type="application/json",
)
assert response.status_code == 200, "%s %s" % (response.status_code, response.data)
assert lease.basis_of_rents.count() == 1
| 27.401929
| 87
| 0.665337
| 1,038
| 8,522
| 5.121387
| 0.092486
| 0.060572
| 0.092551
| 0.105342
| 0.942438
| 0.942438
| 0.937735
| 0.924944
| 0.924944
| 0.924944
| 0
| 0.014844
| 0.225299
| 8,522
| 310
| 88
| 27.490323
| 0.790367
| 0
| 0
| 0.807377
| 0
| 0
| 0.146679
| 0.047524
| 0
| 0
| 0
| 0
| 0.040984
| 1
| 0.020492
| false
| 0.040984
| 0.032787
| 0
| 0.053279
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
e0f4bb6f4c00530197463e2a03a135eb2f58c00e
| 3,513
|
py
|
Python
|
tests/test_health_component.py
|
Leonardo767/Abmarl
|
9fada5447b09174c6a70b6032b4a8d08b66c4589
|
[
"Apache-2.0"
] | null | null | null |
tests/test_health_component.py
|
Leonardo767/Abmarl
|
9fada5447b09174c6a70b6032b4a8d08b66c4589
|
[
"Apache-2.0"
] | null | null | null |
tests/test_health_component.py
|
Leonardo767/Abmarl
|
9fada5447b09174c6a70b6032b4a8d08b66c4589
|
[
"Apache-2.0"
] | null | null | null |
from abmarl.sim.components.agent import ComponentAgent as Agent
from abmarl.sim.components.state import LifeState
def test_health_agents():
agents = {
'agent0': Agent(id='agent0', min_health=0.0, max_health=5.0, initial_health=3.4),
'agent1': Agent(id='agent1', min_health=0.0, max_health=5.0, initial_health=2.4),
'agent2': Agent(id='agent2', min_health=0.0, max_health=5.0),
'agent3': Agent(id='agent3', min_health=0.0, max_health=5.0),
}
assert agents['agent0'].min_health == 0.0
assert agents['agent0'].max_health == 5.0
assert agents['agent0'].initial_health == 3.4
assert agents['agent0'].is_alive
assert agents['agent1'].min_health == 0.0
assert agents['agent1'].max_health == 5.0
assert agents['agent1'].initial_health == 2.4
assert agents['agent1'].is_alive
assert agents['agent2'].min_health == 0.0
assert agents['agent2'].max_health == 5.0
assert agents['agent2'].is_alive
assert agents['agent3'].min_health == 0.0
assert agents['agent3'].max_health == 5.0
assert agents['agent3'].is_alive
def test_life_state():
agents = {
'agent0': Agent(id='agent0', min_health=0.0, max_health=5.0, initial_health=3.4),
'agent1': Agent(id='agent1', min_health=0.0, max_health=5.0, initial_health=2.4),
'agent2': Agent(id='agent2', min_health=0.0, max_health=5.0),
'agent3': Agent(id='agent3', min_health=0.0, max_health=5.0),
}
assert agents['agent0'].min_health == 0.0
assert agents['agent0'].max_health == 5.0
assert agents['agent0'].initial_health == 3.4
assert agents['agent0'].is_alive
assert agents['agent1'].min_health == 0.0
assert agents['agent1'].max_health == 5.0
assert agents['agent1'].initial_health == 2.4
assert agents['agent1'].is_alive
assert agents['agent2'].min_health == 0.0
assert agents['agent2'].max_health == 5.0
assert agents['agent2'].is_alive
assert agents['agent3'].min_health == 0.0
assert agents['agent3'].max_health == 5.0
assert agents['agent3'].is_alive
state = LifeState(agents=agents, entropy=0.5)
state.reset()
assert agents['agent0'].health == 3.4
assert agents['agent1'].health == 2.4
assert 0.0 <= agents['agent2'].health <= 5.0
assert 0.0 <= agents['agent3'].health <= 5.0
state.apply_entropy(agents['agent0'])
state.apply_entropy(agents['agent1'])
assert agents['agent0'].health == 2.9
assert agents['agent1'].health == 1.9
for _ in range(10):
state.apply_entropy(agents['agent0'])
state.apply_entropy(agents['agent1'])
state.apply_entropy(agents['agent2'])
state.apply_entropy(agents['agent3'])
assert not agents['agent0'].is_alive
assert not agents['agent1'].is_alive
assert not agents['agent2'].is_alive
assert not agents['agent3'].is_alive
state.reset()
assert agents['agent0'].min_health == 0.0
assert agents['agent0'].max_health == 5.0
assert agents['agent0'].initial_health == 3.4
assert agents['agent0'].is_alive
assert agents['agent1'].min_health == 0.0
assert agents['agent1'].max_health == 5.0
assert agents['agent1'].initial_health == 2.4
assert agents['agent1'].is_alive
assert agents['agent2'].min_health == 0.0
assert agents['agent2'].max_health == 5.0
assert agents['agent2'].is_alive
assert agents['agent3'].min_health == 0.0
assert agents['agent3'].max_health == 5.0
assert agents['agent3'].is_alive
| 38.604396
| 89
| 0.65955
| 517
| 3,513
| 4.332689
| 0.079304
| 0.246429
| 0.150893
| 0.098214
| 0.8375
| 0.763393
| 0.763393
| 0.763393
| 0.763393
| 0.763393
| 0
| 0.06692
| 0.174779
| 3,513
| 90
| 90
| 39.033333
| 0.705761
| 0
| 0
| 0.74359
| 0
| 0
| 0.126388
| 0
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 0.025641
| false
| 0
| 0.025641
| 0
| 0.051282
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
4605703e434681f20d5aa8aee59648db8c956557
| 3,170
|
py
|
Python
|
trello/webhooks.py
|
cmuozdiaz/trello-py
|
fa3e05972ad22796e515a6bb1a31e1ea5b365ed6
|
[
"BSD-2-Clause"
] | null | null | null |
trello/webhooks.py
|
cmuozdiaz/trello-py
|
fa3e05972ad22796e515a6bb1a31e1ea5b365ed6
|
[
"BSD-2-Clause"
] | null | null | null |
trello/webhooks.py
|
cmuozdiaz/trello-py
|
fa3e05972ad22796e515a6bb1a31e1ea5b365ed6
|
[
"BSD-2-Clause"
] | null | null | null |
import json
import requests
class Webhooks(object):
__module__ = 'trello'
def __init__(self, apikey, token=None):
self._apikey = apikey
self._token = token
def get_(self, idWebhook):
resp = requests.get("https://trello.com/1/webhooks/{}/".format(idWebhook), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_field(self, field, idWebhook):
resp = requests.get("https://trello.com/1/webhooks/{}/{}".format(idWebhook, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def update(self, idWebhook, description=None, callbackURL=None, idModel=None, active=None):
resp = requests.put("https://trello.com/1/webhooks/{}".format(idWebhook), params={"key": self._apikey, "token": self._token}, data={"description": description, "callbackURL": callbackURL, "idModel": idModel, "active": active})
resp.raise_for_status()
return json.loads(resp.text)
def update_(self, callbackURL, idModel, description=None):
resp = requests.put("https://trello.com/1/webhooks/".format(), params={"key": self._apikey, "token": self._token}, data={"callbackURL": callbackURL, "idModel": idModel, "description": description})
resp.raise_for_status()
return json.loads(resp.text)
def update_active(self, idWebhook, value):
resp = requests.put("https://trello.com/1/webhooks/{}/active".format(idWebhook), params={"key": self._apikey, "token": self._token}, data={"value": value})
resp.raise_for_status()
return json.loads(resp.text)
def update_callbackURL(self, idWebhook, value):
resp = requests.put("https://trello.com/1/webhooks/{}/callbackURL".format(idWebhook), params={"key": self._apikey, "token": self._token}, data={"value": value})
resp.raise_for_status()
return json.loads(resp.text)
def update_description(self, idWebhook, value):
resp = requests.put("https://trello.com/1/webhooks/{}/description".format(idWebhook), params={"key": self._apikey, "token": self._token}, data={"value": value})
resp.raise_for_status()
return json.loads(resp.text)
def update_idModel(self, idWebhook, value):
resp = requests.put("https://trello.com/1/webhooks/{}/idModel".format(idWebhook), params={"key": self._apikey, "token": self._token}, data={"value": value})
resp.raise_for_status()
return json.loads(resp.text)
def new(self, callbackURL, idModel, description=None):
resp = requests.post("https://trello.com/1/webhooks".format(), params={"key": self._apikey, "token": self._token}, data={"callbackURL": callbackURL, "idModel": idModel, "description": description})
resp.raise_for_status()
return json.loads(resp.text)
def delete(self, idWebhook):
resp = requests.delete("https://trello.com/1/webhooks/{}".format(idWebhook), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
| 51.967213
| 234
| 0.667823
| 389
| 3,170
| 5.29563
| 0.105398
| 0.058252
| 0.080097
| 0.072816
| 0.814078
| 0.814078
| 0.814078
| 0.776214
| 0.776214
| 0.776214
| 0
| 0.003761
| 0.161199
| 3,170
| 60
| 235
| 52.833333
| 0.770967
| 0
| 0
| 0.425532
| 0
| 0
| 0.175765
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.234043
| false
| 0
| 0.042553
| 0
| 0.531915
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
1cb3b05d93b2492dbca9ea86e652395b73f095af
| 624
|
py
|
Python
|
src/models/coinbase.py
|
Dragonfly-Capital/oracles.club.server
|
092dc1e6d205ceb475cd65f9b1c3e4aa6ef588dd
|
[
"MIT"
] | 7
|
2020-04-28T02:17:51.000Z
|
2020-09-23T17:39:38.000Z
|
src/models/coinbase.py
|
Dragonfly-Capital/oracles.club.server
|
092dc1e6d205ceb475cd65f9b1c3e4aa6ef588dd
|
[
"MIT"
] | 1
|
2020-08-10T19:39:12.000Z
|
2020-08-10T19:39:12.000Z
|
src/models/coinbase.py
|
Dragonfly-Capital/oracles.club.server
|
092dc1e6d205ceb475cd65f9b1c3e4aa6ef588dd
|
[
"MIT"
] | 2
|
2020-05-10T09:39:47.000Z
|
2020-07-27T18:12:23.000Z
|
from .create_db import db
class CoinbaseETH(db.Model):
__tablename__ = 'coinbase'
id = db.Column('id', db.Integer, primary_key=True)
timestamp = db.Column('timestamp', db.Integer)
price = db.Column('price', db.Float)
def __repr__(self):
return '{}, {}, {}'.format(self.timestamp, self.price)
class CoinbaseBTC(db.Model):
__tablename__ = 'coinbasebtc'
id = db.Column('id', db.Integer, primary_key=True)
timestamp = db.Column('timestamp', db.Integer)
price = db.Column('price', db.Float)
def __repr__(self):
return '{}, {}, {}'.format(self.timestamp, self.price)
| 27.130435
| 62
| 0.644231
| 77
| 624
| 4.974026
| 0.311688
| 0.125326
| 0.083551
| 0.062663
| 0.731071
| 0.731071
| 0.731071
| 0.731071
| 0.731071
| 0.731071
| 0
| 0
| 0.1875
| 624
| 22
| 63
| 28.363636
| 0.755424
| 0
| 0
| 0.666667
| 0
| 0
| 0.113782
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.133333
| false
| 0
| 0.066667
| 0.133333
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
1cc5557a422043c5f999847cbe7050c5edc278f4
| 209
|
py
|
Python
|
stores/utils.py
|
thgazis/django-oscar-stores
|
373f45a9f7d18f5ffaec06580fbe7ecf8edc27df
|
[
"BSD-3-Clause"
] | 83
|
2015-01-21T14:33:38.000Z
|
2021-11-08T11:30:18.000Z
|
stores/utils.py
|
thgazis/django-oscar-stores
|
373f45a9f7d18f5ffaec06580fbe7ecf8edc27df
|
[
"BSD-3-Clause"
] | 113
|
2015-01-04T22:56:23.000Z
|
2022-02-01T11:05:09.000Z
|
stores/utils.py
|
thgazis/django-oscar-stores
|
373f45a9f7d18f5ffaec06580fbe7ecf8edc27df
|
[
"BSD-3-Clause"
] | 50
|
2015-06-09T18:13:48.000Z
|
2021-09-08T14:36:37.000Z
|
from django.conf import settings
def get_geographic_srid():
return getattr(settings, 'STORES_GEOGRAPHIC_SRID', 3577)
def get_geodetic_srid():
return getattr(settings, 'STORES_GEODETIC_SRID', 4326)
| 20.9
| 60
| 0.77512
| 27
| 209
| 5.703704
| 0.555556
| 0.077922
| 0.220779
| 0.324675
| 0.402597
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044199
| 0.133971
| 209
| 9
| 61
| 23.222222
| 0.80663
| 0
| 0
| 0
| 0
| 0
| 0.200957
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| true
| 0
| 0.2
| 0.4
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
1cd07a016b555b32a982e5422b0a361663e88225
| 197
|
py
|
Python
|
DemPipe/executor/__init__.py
|
hmiladhia/DemPipe
|
48d48150969fa047e2f20b35ee1c61991e7b44ad
|
[
"MIT"
] | null | null | null |
DemPipe/executor/__init__.py
|
hmiladhia/DemPipe
|
48d48150969fa047e2f20b35ee1c61991e7b44ad
|
[
"MIT"
] | null | null | null |
DemPipe/executor/__init__.py
|
hmiladhia/DemPipe
|
48d48150969fa047e2f20b35ee1c61991e7b44ad
|
[
"MIT"
] | null | null | null |
from DemPipe.executor.pipe_exec_base import SimplePipeExecutor
from DemPipe.executor.pipe_exec import PipeExecutor
from DemPipe.executor.mixin import PushNotificationMixin, EmailMixin, ConfigMixin
| 49.25
| 81
| 0.888325
| 23
| 197
| 7.478261
| 0.565217
| 0.19186
| 0.331395
| 0.267442
| 0.313953
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071066
| 197
| 3
| 82
| 65.666667
| 0.939891
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
e8026b47cca1e0048f0a7b5bd5719bb144d3df59
| 331
|
py
|
Python
|
iceworm/engine/rules/__init__.py
|
wrmsr0/iceworm
|
09431bb3cdc4f6796aafca41e37d42ebe0ddfeef
|
[
"BSD-3-Clause"
] | null | null | null |
iceworm/engine/rules/__init__.py
|
wrmsr0/iceworm
|
09431bb3cdc4f6796aafca41e37d42ebe0ddfeef
|
[
"BSD-3-Clause"
] | 1
|
2021-01-19T14:29:19.000Z
|
2021-01-19T14:34:27.000Z
|
iceworm/engine/rules/__init__.py
|
wrmsr0/iceworm
|
09431bb3cdc4f6796aafca41e37d42ebe0ddfeef
|
[
"BSD-3-Clause"
] | 1
|
2020-12-31T22:29:52.000Z
|
2020-12-31T22:29:52.000Z
|
from . import inject # noqa
from .base import Rule # noqa
from .base import RuleElementProcessor # noqa
from .base import RuleProcessor # noqa
from .tables import InsertedRows # noqa
from .tables import InsertedRowsProcessor # noqa
from .tables import TableAsSelect # noqa
from .tables import TableAsSelectProcessor # noqa
| 36.777778
| 50
| 0.782477
| 39
| 331
| 6.641026
| 0.333333
| 0.216216
| 0.216216
| 0.30888
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169184
| 331
| 8
| 51
| 41.375
| 0.941818
| 0.117825
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
e81aa878b5e937860143947a65e9673ffc5e21e1
| 101,238
|
py
|
Python
|
MedTAG_Dockerized/MedTAG_sket_dock_App/utils_download.py
|
MedTAG/medtag-core
|
f2dae7b38230179d71babede7e4910631d91053f
|
[
"MIT"
] | 6
|
2021-12-20T12:15:17.000Z
|
2022-02-02T15:28:42.000Z
|
MedTAG_Dockerized/MedTAG_sket_dock_App/utils_download.py
|
MedTAG/medtag-core
|
f2dae7b38230179d71babede7e4910631d91053f
|
[
"MIT"
] | 1
|
2022-03-07T14:57:44.000Z
|
2022-03-11T18:11:55.000Z
|
MedTAG_Dockerized/MedTAG_sket_dock_App/utils_download.py
|
MedTAG/medtag-core
|
f2dae7b38230179d71babede7e4910631d91053f
|
[
"MIT"
] | 2
|
2021-05-29T09:44:38.000Z
|
2021-12-28T03:53:40.000Z
|
import psycopg2
import csv
from MedTAG_sket_dock_App.utils import *
from bioc import *
from datetime import date
"""This file manages the creation of the files to be downloaded by the users"""
def generate_bioc(json_keys,json_keys_to_ann,username,action,language,usecase,institute,form,annotation_mode,report_type,batch):
"""This method creates the BioC files both XML and JSON depending on the language, usecase, institute chosen"""
try:
languages = ['English','english']
usec = UseCase.objects.get(name=usecase)
batch_num = []
if batch is None:
b = Report.objects.filter(name=usec).values('batch')
for el in b:
if el['batch'] not in batch_num:
batch_num.append(el['batch'])
else:
batch_num.append(batch)
writer = BioCXMLWriter()
json_writer = BioCJSONWriter()
writer.collection = BioCCollection()
json_writer.collection = BioCCollection()
collection = writer.collection
collection1 = json_writer.collection
today = str(date.today())
collection.date = today
if report_type == 'reports':
collection.source = 'MEDTAG Collection'
collection1.source = 'MEDTAG Collection'
else:
collection.source = 'PUBMED Collection'
collection1.source = 'PUBMED Collection'
collection.put_infon('username', username)
collection1.date = today
collection1.put_infon('username', username)
if action == 'mentions':
collection.put_infon('annotation_type', 'mentions')
collection.key = 'mentions.key'
collection1.put_infon('annotation_type', 'mentions')
collection1.key = 'mentions.key'
with connection.cursor() as cursor:
if report_type == 'reports':
if annotation_mode == 'Human':
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE a.username = %s AND r.name = %s AND r.language = COALESCE(%s,r.language) AND r.institute = COALESCE(%s,r.institute) AND a.ns_id = %s AND r.batch = COALESCE(%s,r.batch) AND r.institute!=%s",
[str(username), str(usecase),(language),institute, str(annotation_mode), batch, 'PUBMED'])
elif annotation_mode == 'Robot':
# cambio
# cursor.execute(
# "SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and m.start = a.start and m.stop = a.stop WHERE r.name = %s and a.ns_id = %s and a.username = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch = COALESCE (%s,r.batch) AND r.institute = COALESCE(%s,r.institute) AND r.language = COALESCE(%s,r.language) AND r.institute != %s)",
# [str(usecase), 'Robot', str(username), 'mentions', 'Robot','Robot_user',str(username), batch,institute,language, 'PUBMED'])
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and m.start = a.start and m.stop = a.stop WHERE r.name = %s and a.ns_id = %s and a.username = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch = COALESCE (%s,r.batch) AND r.institute = COALESCE(%s,r.institute) AND r.language = COALESCE(%s,r.language) AND r.institute != %s)",
[str(usecase), 'Robot', str(username), 'mentions', 'Robot', str(username),
batch, institute, language, 'PUBMED'])
reports = cursor.fetchall()
elif report_type == 'pubmed':
if annotation_mode == 'Human':
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE a.username = %s AND r.language in %s AND r.name = %s AND r.institute = %s AND a.ns_id = %s AND r.batch = COALESCE(%s,r.batch) AND r.language in %s",
[str(username), tuple(languages), str(usecase), str('PUBMED'), str(annotation_mode),
batch,tuple(languages)])
elif annotation_mode == 'Robot':
# CAMBIO
# cursor.execute(
# "SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and m.start = a.start and m.stop = a.stop WHERE r.name = %s and a.ns_id = %s and a.username = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch = COALESCE (%s,r.batch) AND r.institute = COALESCE(%s,r.institute) AND r.language = COALESCE(%s,r.language) AND r.institute = %s)",
# [str(usecase), 'Robot', str(username), 'mentions', 'Robot', 'Robot_user', str(username),
# batch, institute, tuple(languages), 'PUBMED'])
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and m.start = a.start and m.stop = a.stop WHERE r.name = %s and a.ns_id = %s and a.username = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type=%s and g.ns_id = %s and g.username =%s AND r.batch = COALESCE (%s,r.batch) AND r.institute = COALESCE(%s,r.institute) AND r.language in %s AND r.institute = %s)",
[str(usecase), 'Robot', str(username), 'mentions', 'Robot', str(username),
batch, institute, tuple(languages), 'PUBMED'])
reports = cursor.fetchall()
documents = []
# reports = Annotate.objects.filter(username=username).values('id_report','language').distinct()
for couple in reports:
document = ''
report = Report.objects.get(name=couple[0], id_report=couple[1], institute=couple[3],
language=couple[2])
json_dict = report_get_start_end(json_keys, json_keys_to_ann, report.id_report, report.language)
ns_cur = NameSpace.objects.get(ns_id=annotation_mode)
anno = Annotate.objects.filter(username=username, id_report=report,ns_id = ns_cur, language=report.language)
document = BioCDocument()
document.id = str(report.id_report)
document.put_infon('usecase', report.name_id)
document.put_infon('language', report.language)
document.put_infon('institute', report.institute)
annotations = []
count = 0
for el in anno:
mention = Mention.objects.get(start=el.start_id, stop=el.stop, id_report=report,
language=report.language)
json_dict = report_get_start_end(json_keys, json_keys_to_ann, report.id_report, report.language)
annotation = BioCAnnotation()
annotation.id = str(count)
count = count + 1
loc_ann = BioCLocation()
loc_ann.offset = str(mention.start)
loc_ann.length = str(mention.stop - mention.start + 1)
annotation.add_location(loc_ann)
mention_text = mention.mention_text
mtext = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', mention_text)
annotation.text = mtext
couple = (annotation, mention.start, mention.stop)
annotations.append(couple)
seen = []
for key in json_keys_to_ann:
passage = BioCPassage()
passage.put_infon('section', key)
check = False
keys = json_dict['rep_string'].keys()
if key in keys:
if json_dict['rep_string'].get(key) != '':
# if json_dict['rep_string'].get(key) is not None and json_dict['rep_string'].get(key) != '':
passage.text = json_dict['rep_string'][key]['text']
start = str(json_dict['rep_string'][key]['start'])
passage.offset = start
for el in annotations:
if el not in seen:
if int(el[1]) >= int(json_dict['rep_string'][key]['start']) and int(el[2]) <= int(
json_dict['rep_string'][key]['end']):
check = True
passage.add_annotation(el[0])
seen.append(el)
if check:
document.add_passage(passage)
collection.add_document(document)
collection1.add_document(document)
# print(writer)
# print(json_writer)
elif action == 'concept-mention':
collection.put_infon('annotation_type', 'linking')
collection.key = 'linking.key'
collection1.put_infon('annotation_type', 'linking')
collection1.key = 'linking.key'
with connection.cursor() as cursor:
if report_type == 'reports':
if annotation_mode == 'Human':
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language WHERE a.username = %s AND r.name = %s AND a.ns_id = %s AND r.batch =COALESCE(%s,r.batch) AND r.institute=COALESCE(%s,r.institute) AND r.language = COALESCE(%s, r.language) AND r.institute != %s",
[str(username), str(usecase), str(annotation_mode), batch,institute,language,'PUBMED'])
elif annotation_mode == 'Robot':
# CAMBIA
# cursor.execute(
# "SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and a.start = m.start and a.stop = m.stop INNER JOIN concept as c on c.concept_url = a.concept_url inner join semantic_area as s on s.name = a.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute=COALESCE(%s,r.institute) AND r.language = COALESCE(%s,r.language) AND r.institute != %s) ",
# [str(usecase), 'Robot', str(username), 'concept-mention', 'Robot',
# 'Robot_user',
# str(username), batch,institute,language, 'PUBMED'])
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and a.start = m.start and a.stop = m.stop INNER JOIN concept as c on c.concept_url = a.concept_url inner join semantic_area as s on s.name = a.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file AS g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute=COALESCE(%s,r.institute) AND r.language = COALESCE(%s,r.language) AND r.institute != %s) ",
[str(usecase), 'Robot', str(username), 'concept-mention', 'Robot',
str(username), batch,institute,language, 'PUBMED'])
reports = cursor.fetchall()
elif report_type == 'pubmed':
if language is not None and institute is not None and usecase is not None:
if annotation_mode == 'Human':
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language WHERE a.username = %s AND r.language in %s AND r.name = %s AND r.institute = %s AND a.ns_id = %s AND r.batch IN %s",
[str(username), tuple(languages), str(usecase), str('PUBMED'),str(annotation_mode),tuple(batch_num)])
elif annotation_mode == 'Robot':
# CAMBIO
# cursor.execute(
# "SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and a.start = m.start and a.stop = m.stop INNER JOIN concept as c on c.concept_url = a.concept_url inner join semantic_area as s on s.name = a.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = %s and r.language = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch IN %s) ",
# [str(usecase), 'Robot', str(username), str('PUBMED'), str(language), 'concept-mention', 'Robot',
# 'Robot_user',
# str(username),tuple(batch_num)])
cursor.execute(
"SELECT DISTINCT r.name,r.id_report,r.language,r.institute FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and a.start = m.start and a.stop = m.stop INNER JOIN concept as c on c.concept_url = a.concept_url inner join semantic_area as s on s.name = a.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = %s and r.language = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch IN %s) ",
[str(usecase), 'Robot', str(username), str('PUBMED'), str(language), 'concept-mention', 'Robot',
str(username),tuple(batch_num)])
reports = cursor.fetchall()
documents = []
# reports = Annotate.objects.filter(username=username).values('id_report','language').distinct()
for couple in reports:
document = ''
report = Report.objects.get(name = couple[0],id_report=couple[1],institute = couple[3], language=couple[2])
json_dict = report_get_start_end(json_keys, json_keys_to_ann, report.id_report, report.language)
ns = NameSpace.objects.get(ns_id = annotation_mode)
anno = Linked.objects.filter(username=username,ns_id = ns,id_report = report,language = report.language)
document = BioCDocument()
document.id = str(report.id_report)
document.put_infon('usecase', report.name_id)
document.put_infon('language', report.language)
document.put_infon('institute', report.institute)
annotations = []
count = 0
for el in anno:
mention = Mention.objects.get(start = el.start_id,stop = el.stop,id_report=report,language = report.language)
concept = Concept.objects.get(concept_url = el.concept_url_id)
json_dict = report_get_start_end(json_keys,json_keys_to_ann,report.id_report,report.language)
annotation = BioCAnnotation()
annotation.id = str(count)
annotation.put_infon('concept_name', concept.name)
annotation.put_infon('concept_url', concept.concept_url)
count = count+1
loc_ann = BioCLocation()
loc_ann.offset = str(mention.start)
loc_ann.length = str(mention.stop - mention.start + 1)
annotation.add_location(loc_ann)
mention_text = mention.mention_text
mtext = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', mention_text)
annotation.text = mtext
couple = (annotation,mention.start,mention.stop)
annotations.append(couple)
seen = []
for key in json_keys_to_ann:
passage = BioCPassage()
passage.put_infon('section', key)
check = False
keys = json_dict['rep_string'].keys()
if key in keys:
if json_dict['rep_string'].get(key) != '':
# if json_dict['rep_string'].get(key) is not None and json_dict['rep_string'].get(key) != '':
passage.text = json_dict['rep_string'][key]['text']
start = str(json_dict['rep_string'][key]['start'])
passage.offset = start
for el in annotations:
if el not in seen:
# start1 = int(el[1])
# start2 = int(json_dict['rep_string'][key]['start'])
# stop1 = int(el[2])
# stop2 = int(json_dict['rep_string'][key]['end'])
if int(el[1]) >= int(json_dict['rep_string'][key]['start']) and int(el[2]) <= int(json_dict['rep_string'][key]['end']):
check = True
passage.add_annotation(el[0])
seen.append(el)
# passage.add_annotation(el[0])
if check:
document.add_passage(passage)
collection.add_document(document)
collection1.add_document(document)
print(writer)
except Exception as e:
print(e)
return False
else:
#os.remove(path1)
if form == 'json':
# os.remove(path1)
return json_writer
# return True
return writer
def create_csv_to_download(report_type,annotation_mode,username,use,inst,lang,action,response,batch):
"""This method creates a csv to download depending on the language, the usecase, the institute chosen."""
usecase = UseCase.objects.get(name=use)
batch_num = []
if batch is None:
b = Report.objects.filter(name=usecase).values('batch')
for el in b:
if el['batch'] not in batch_num:
batch_num.append(el['batch'])
else:
batch_num.append(batch)
languages = ['English','english']
row_list = []
if action == 'labels':
row_list.append(['username', 'annotation_mode','id_report', 'language','batch', 'institute', 'usecase', 'label'])
elif action == 'mentions':
row_list.append(['username','annotation_mode', 'id_report', 'language','batch', 'institute', 'usecase', 'start','stop','mention_text'])
elif action == 'concept-mention':
row_list.append(['username','annotation_mode', 'id_report', 'language','batch', 'institute', 'usecase', 'start', 'stop', 'mention_text','concept_name','concept_url','area'])
elif action == 'concepts':
row_list.append(['username','annotation_mode', 'id_report', 'language','batch', 'institute', 'usecase', 'concept_url','concept_name','area'])
try:
if report_type == 'reports':
with connection.cursor() as cursor:
# if use is not None and lang is not None and inst is not None:
if annotation_mode == 'Human':
if action == 'labels':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name, a.label FROM report AS r INNER JOIN associate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN associate as aa on aa.id_report = a.id_report and aa.language = a.language and a.label = aa.label and aa.ns_id = a.ns_id and aa.seq_number = a.seq_number WHERE a.username = %s AND r.language = COALESCE(%s,r.language) AND r.name = %s AND r.institute = COALESCE(%s,r.institute) AND a.ns_id = %s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s",
[str(username),(lang), str(use), (inst),str(annotation_mode),(batch),'PUBMED'])
if action == 'mentions':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE a.username = %s AND r.language = COALESCE(%s,r.language) AND r.name = %s AND r.institute = COALESCE(%s,r.institute) AND a.ns_id = %s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s",
[str(username),(lang), str(use), (inst),str(annotation_mode),(batch),'PUBMED'])
if action == 'concepts':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,c.concept_url, c.name, a.name FROM report AS r INNER JOIN contains AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept AS c ON c.concept_url = a.concept_url WHERE a.username = %s AND r.language = COALESCE(%s,r.language) AND r.name = %s AND r.institute = COALESCE(%s,r.institute) AND a.ns_id = %s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s",
[str(username),(lang), str(use), (inst),str(annotation_mode),(batch),'PUBMED'])
if action == 'concept-mention':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c ON a.concept_url = c.concept_url INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE a.username = %s AND r.language = COALESCE(%s,r.language) AND r.name = %s AND r.institute = COALESCE(%s,r.institute) AND a.ns_id = %s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s",
[str(username),(lang), str(use), (inst),str(annotation_mode),(batch),'PUBMED'])
elif annotation_mode == 'Robot':
if action == 'labels':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.label FROM report AS r INNER JOIN associate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
[str(use), 'Robot', str(username), (inst), (lang), 'labels', 'Robot',
str(username), batch, 'PUBMED'])
# CAMBIO
# cursor.execute(
# "SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.label FROM report AS r INNER JOIN associate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
# [str(use), 'Robot', str(username), str(inst), str(lang), 'labels', 'Robot', 'Robot_user',
# str(username), batch, 'PUBMED'])
if action == 'mentions':
# cursor.execute(
# "SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and m.start = a.start and m.stop = a.stop WHERE r.name = %s and a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
# [str(use),'Robot', str(username), (inst), (lang), 'mentions', 'Robot', 'Robot_user',
# str(username),batch,'PUBMED'])
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and m.start = a.start and m.stop = a.stop WHERE r.name = %s and a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
[str(use), 'Robot', str(username), (inst), (lang), 'mentions', 'Robot',
str(username), batch, 'PUBMED'])
if action == 'concepts':
# cursor.execute(
# "SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.concept_url,c.name,a.name FROM report AS r INNER JOIN contains AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c on c.concept_url = a.concept_url INNER JOIN semantic_area as s on a.name = s.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
# [str(use),'Robot', str(username), (inst), (lang), 'concepts', 'Robot', 'Robot_user',
# str(username),batch,'PUBMED'])
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.concept_url,c.name,a.name FROM report AS r INNER JOIN contains AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c on c.concept_url = a.concept_url INNER JOIN semantic_area as s on a.name = s.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
[str(use), 'Robot', str(username), (inst), (lang), 'concepts', 'Robot',
str(username), batch, 'PUBMED'])
if action == 'concept-mention':
# cursor.execute(
# "SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and a.start = m.start and a.stop = m.stop INNER JOIN concept as c on c.concept_url = a.concept_url inner join semantic_area as s on s.name = a.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g inner join ground_truth_log_file as gg on g.id_report = gg.id_report and g.language = gg.language and g.gt_type = gg.gt_type and g.ns_id = gg.ns_id where g.gt_type = %s and g.ns_id = %s and gg.insertion_time != g.insertion_time and gg.username = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
# [str(use),'Robot', str(username), (inst), (lang), 'concept-mention', 'Robot', 'Robot_user',
# str(username),batch,'PUBMED'])
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and a.start = m.start and a.stop = m.stop INNER JOIN concept as c on c.concept_url = a.concept_url inner join semantic_area as s on s.name = a.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = COALESCE(%s,r.institute) and r.language = COALESCE(%s,r.language) and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch = COALESCE(%s,r.batch) AND r.institute != %s) ",
[str(use), 'Robot', str(username), (inst), (lang), 'concept-mention', 'Robot',
str(username), batch, 'PUBMED'])
reports = cursor.fetchall()
reports = sorted(reports, key=lambda x: x[1])
for el in reports:
row = list(el)
if row[1] == 'Human':
row[1] = 'Manual'
else:
row[1] = 'Automatic'
if action == 'mentions' or action == 'concept-mention':
row[9] = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', row[9])
row_list.append(row)
elif report_type == 'pubmed':
with connection.cursor() as cursor:
# if use is not None and lang is not None and inst is not None:
if annotation_mode == 'Human':
if action == 'labels':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name, a.label FROM report AS r INNER JOIN associate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE a.username = %s AND r.language in %s AND r.name = %s AND r.institute = %s AND a.ns_id = %s AND r.batch =COALESCE(%s,r.batch)",
[str(username), tuple(languages), str(use), 'PUBMED','Human',batch])
if action == 'mentions':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE a.username = %s AND r.language in %s AND r.name = %s AND r.institute = %s AND a.ns_id = %s AND r.batch =COALESCE(%s,r.batch)",
[str(username), tuple(languages), str(use), 'PUBMED','Human',batch])
if action == 'concepts':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,c.concept_url, c.name, a.name FROM report AS r INNER JOIN contains AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept AS c ON c.concept_url = a.concept_url WHERE a.username = %s AND r.language in %s AND r.name = %s AND r.institute = %s AND a.ns_id = %s AND r.batch =COALESCE(%s,r.batch)",
[str(username), tuple(languages), str(use), 'PUBMED','Human',batch])
if action == 'concept-mention':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c ON a.concept_url = c.concept_url INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE a.username = %s AND r.language in %s AND r.name = %s AND r.institute = %s AND a.ns_id = %s AND r.batch =COALESCE(%s,r.batch)",
[str(username), tuple(languages), str(use), 'PUBMED','Human',batch])
elif annotation_mode == 'Robot':
if action == 'labels':
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.label FROM report AS r INNER JOIN associate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = %s and r.language in %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch =COALESCE(%s,r.batch)) ",
[str(use), 'Robot', str(username), 'PUBMED', tuple(languages), 'labels', 'Robot',
str(username), batch])
if action == 'mentions':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and m.start = a.start and m.stop = a.stop WHERE r.name = %s and a.ns_id = %s and a.username = %s AND r.institute = %s and r.language = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch =COALESCE(%s,r.batch)) ",
[str(use), 'Robot', str(username), str(inst), str(lang), 'mentions', 'Robot',
str(username), batch])
if action == 'concepts':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.concept_url,c.name,a.name FROM report AS r INNER JOIN contains AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c on c.concept_url = a.concept_url INNER JOIN semantic_area as s on a.name = s.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = %s and r.language = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch =COALESCE(%s,r.batch)) ",
[str(use), 'Robot', str(username), str(inst), str(lang), 'concepts', 'Robot',
str(username), batch])
if action == 'concept-mention':
cursor.execute(
"SELECT DISTINCT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention as m on m.id_report = a.id_report and m.language = a.language and a.start = m.start and a.stop = m.stop INNER JOIN concept as c on c.concept_url = a.concept_url inner join semantic_area as s on s.name = a.name WHERE r.name = %s AND a.ns_id = %s and a.username = %s AND r.institute = %s and r.language = %s and (a.id_report,a.language) IN (select g.id_report,g.language FROM ground_truth_log_file as g where g.gt_type = %s and g.ns_id = %s and g.username =%s AND r.batch =COALESCE(%s,r.batch)) ",
[str(use), 'Robot', str(username), str(inst), str(lang), 'concept-mention', 'Robot',
str(username), batch])
reports = cursor.fetchall()
reports = sorted(reports, key=lambda x: x[1])
for el in reports:
row = list(el)
if row[1] == 'Human':
row[1] = 'Manual'
else:
row[1] = 'Automatic'
if action == 'mentions' or action == 'concept-mention':
row[9] = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', row[9])
row_list.append(row)
except Exception as e:
print(e)
return False
else:
writer = csv.writer(response)
writer.writerows(row_list)
return response
def create_json_to_download(report_type,action,username,use,annotation_mode = None,inst = None,lang = None,all = None,batch = None):
json_resp = {}
#added 22/10/2021
if all == 'all':
json_resp['groundtruths'] = {}
types = ['labels','mentions','concepts','concept-mention']
json_resp_add = {}
for typ in types:
a = typ
if typ == 'concept-mention':
a = 'linking'
b = a + '_ground_truths'
json_resp_add[b] = []
gt = GroundTruthLogFile.objects.filter(username=username,gt_type = typ)
for el in gt:
gt_json = el.gt_json
del gt_json['gt_type']
del gt_json['username']
gt_json['id_report_hashed'] = gt_json['id_report']
del gt_json['id_report']
if 'id_report_not_hashed' in gt_json.keys():
gt_json['id_report'] = gt_json['id_report_not_hashed']
json_resp_add[b].append(gt_json)
json_resp['groundtruths'] = json_resp_add
return json_resp
cursor = connection.cursor()
usecase = UseCase.objects.get(name=use)
batch_num = []
if batch is None:
b = Report.objects.filter(name=usecase).values('batch')
for el in b:
if el['batch'] not in batch_num:
batch_num.append(el['batch'])
else:
batch_num.append(batch)
json_resp['groundtruths'] = []
json_resp['username'] = username
json_resp['usecase'] = use
if annotation_mode == 'Human':
json_resp['annotation_mode'] = 'Manual'
else:
json_resp['annotation_mode'] = 'Automatic'
if all != 'all' and action != None and action != '':
json_resp['action'] = action
if action == 'concept-mention':
json_resp['action'] = 'linking'
if report_type == 'reports':
if annotation_mode != 'both':
cursor.execute(
"SELECT DISTINCT r.id_report,r.language,r.institute FROM report AS r INNER JOIN ground_truth_log_file AS g ON r.id_report = g.id_report AND g.language = r.language WHERE gt_type = %s AND r.name = %s AND g.ns_id = %s AND r.language = COALESCE(%s, r.language) AND r.institute = COALESCE(%s,r.institute) AND institute != %s AND r.batch = COALESCE(%s,r.batch) AND username = %s",
[str(action), str(use), str(annotation_mode), lang, inst, 'PUBMED', batch, username])
if annotation_mode == 'Robot':
# cursor.execute(
# "SELECT DISTINCT r.id_report,r.language,r.institute FROM report AS r INNER JOIN ground_truth_log_file AS g ON r.id_report = g.id_report AND g.language = r.language inner join ground_truth_log_file as gg on gg.id_report = g.id_report and gg.language = g.language and gg.gt_type = g.gt_type and gg.ns_id = g.ns_id WHERE gg.insertion_time != g.insertion_time and g.gt_type = %s AND r.name = %s AND g.ns_id = %s AND r.language = COALESCE(%s, r.language) AND r.institute = COALESCE(%s,r.institute) AND institute != %s and g.username != %s and gg.username = %s AND r.batch = COALESCE(%s,r.batch)",
# [str(action), str(use), str(annotation_mode),lang,inst, 'PUBMED', 'Robot_user', 'Robot_user',batch])
cursor.execute(
"SELECT DISTINCT r.id_report,r.language,r.institute FROM report AS r INNER JOIN ground_truth_log_file AS g ON r.id_report = g.id_report AND g.language = r.language WHERE g.gt_type = %s AND r.name = %s AND g.ns_id = %s AND r.language = COALESCE(%s, r.language) AND r.institute = COALESCE(%s,r.institute) AND institute != %s and g.username != %s AND r.batch = COALESCE(%s,r.batch) AND username = %s",
[str(action), str(use), str(annotation_mode), lang, inst, 'PUBMED', 'Robot_user',
batch, username])
ids = cursor.fetchall()
id_rep = []
for el in ids:
if el[0] not in id_rep:
id_rep.append(el[0])
for el in ids:
json_val = {}
json_val['id_report'] = el[0]
json_val['language'] = el[1]
json_val['institute'] = el[2]
if action == 'labels':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.label FROM associate AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = COALESCE(%s, r.language) AND r.institute = COALESCE(%s,r.institute) AND institute != %s AND r.id_report = %s AND r.language = %s AND r.institute = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username),str(annotation_mode),lang,inst,'PUBMED',str(el[0]),str(el[1]),str(el[2]),batch])
ans = cursor.fetchall()
json_val['labels'] = []
for el in ans:
json_lab = {}
json_lab['label'] = el[4]
json_val['labels'].append(json_lab)
json_resp['groundtruths'].append(json_val)
if action == 'mentions':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.start,g.stop,m.mention_text FROM annotate AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language INNER JOIN mention AS m ON m.id_report = g.id_report AND g.language = m.language AND m.start = g.start AND m.stop = g.stop WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = COALESCE(%s, r.language) AND r.institute = COALESCE(%s,r.institute) AND institute != %s AND r.id_report = %s AND r.language = %s AND r.institute = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username),str(annotation_mode),lang,inst,'PUBMED',str(el[0]),str(el[1]),str(el[2]),batch])
ans = cursor.fetchall()
json_val['mentions'] = []
for el in ans:
json_ment = {}
json_ment['start'] = el[4]
json_ment['stop'] = el[5]
json_ment['mention_text'] = el[6]
json_val['mentions'].append(json_ment)
json_resp['groundtruths'].append(json_val)
if action == 'concept-mention':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.start,g.stop,m.mention_text,g.name,g.concept_url,c.name FROM linked AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language INNER JOIN concept AS c ON c.concept_url = g.concept_url INNER JOIN mention AS m ON m.id_report = r.id_report AND m.language = r.language AND m.start = g.start AND g.stop = m.stop WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = COALESCE(%s, r.language) AND r.institute = COALESCE(%s,r.institute) AND institute != %s AND r.id_report = %s AND r.language = %s AND r.institute = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username),str(annotation_mode),lang,inst,'PUBMED',str(el[0]),str(el[1]),str(el[2]),batch])
ans = cursor.fetchall()
json_val['linking'] = []
for el in ans:
json_link = {}
json_link['start'] = el[4]
json_link['stop'] = el[5]
json_link['mention_text'] = el[6]
json_link['area'] = el[7]
json_link['concept_url'] = el[8]
json_link['concept_name'] = el[9]
json_val['linking'].append(json_link)
json_resp['groundtruths'].append(json_val)
if action == 'concepts':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.name,g.concept_url,c.name FROM contains AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language INNER JOIN concept AS c ON c.concept_url = g.concept_url WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = COALESCE(%s, r.language) AND r.institute = COALESCE(%s,r.institute) AND institute != %s AND r.id_report = %s AND r.language = %s AND r.institute = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username),str(annotation_mode),lang,inst,'PUBMED',str(el[0]),str(el[1]),str(el[2]),batch])
ans = cursor.fetchall()
json_val['concepts'] = []
for el in ans:
json_conc = {}
json_conc['area'] = el[4]
json_conc['concept_url'] = el[5]
json_conc['concept_name'] = el[6]
json_val['concepts'].append(json_conc)
json_resp['groundtruths'].append(json_val)
elif report_type == 'pubmed':
cursor.execute(
"SELECT DISTINCT r.id_report,r.language,r.institute FROM report AS r INNER JOIN ground_truth_log_file AS g ON r.id_report = g.id_report AND g.language = r.language WHERE gt_type = %s AND r.name = %s AND g.ns_id = %s AND institute = %s and r.language = %s AND r.batch = COALESCE(%s,r.batch) AND username = %s",
[str(action), str(use), str(annotation_mode), str(inst), str(lang), batch, username])
if annotation_mode == 'Robot':
# cursor.execute(
# "SELECT DISTINCT r.id_report,r.language,r.institute FROM report AS r INNER JOIN ground_truth_log_file AS g ON r.id_report = g.id_report AND g.language = r.language inner join ground_truth_log_file as gg on gg.id_report = g.id_report and gg.language = g.language and gg.gt_type = g.gt_type and gg.ns_id = g.ns_id WHERE gg.insertion_time != g.insertion_time and g.gt_type = %s AND r.name = %s AND g.ns_id = %s AND institute = %s and r.language = %s and g.username != %s and gg.username = %s AND r.batch = COALESCE(%s,r.batch)",
# [str(action), str(use), str(annotation_mode), str(inst),str(lang), 'Robot_user', 'Robot_user',batch])
cursor.execute(
"SELECT DISTINCT r.id_report,r.language,r.institute FROM report AS r INNER JOIN ground_truth_log_file AS g ON r.id_report = g.id_report AND g.language = r.language WHERE g.gt_type = %s AND r.name = %s AND g.ns_id = %s AND institute = %s and r.language = %s and g.username != %s AND r.batch = COALESCE(%s,r.batch) AND username = %s",
[str(action), str(use), str(annotation_mode), str(inst), str(lang), 'Robot_user', batch, username])
ids = cursor.fetchall()
id_rep = []
for el in ids:
if el[0] not in id_rep:
id_rep.append(el[0])
json_resp['institute'] = inst
json_resp['language'] = lang
for el in ids:
json_val = {}
json_val['id_report'] = el[0]
if action == 'labels':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.label FROM associate AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = %s AND r.institute = %s AND r.id_report = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username), str(annotation_mode), str(lang), str(inst), str(el[0]),batch])
ans = cursor.fetchall()
json_val['labels'] = []
for el in ans:
json_lab = {}
json_lab['label'] = el[4]
json_val['labels'].append(json_lab)
json_resp['groundtruths'].append(json_val)
if action == 'mentions':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.start,g.stop,m.mention_text FROM annotate AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language INNER JOIN mention AS m ON m.id_report = g.id_report AND g.language = m.language AND m.start = g.start AND m.stop = g.stop WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = %s AND r.institute = %s AND r.id_report = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username), str(annotation_mode), str(lang), str(inst), str(el[0]),batch])
ans = cursor.fetchall()
json_val['mentions'] = []
for el in ans:
json_ment = {}
json_ment['start'] = el[4]
json_ment['stop'] = el[5]
json_ment['mention_text'] = el[6]
json_val['mentions'].append(json_ment)
json_resp['groundtruths'].append(json_val)
if action == 'concept-mention':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.start,g.stop,m.mention_text,g.name,g.concept_url,c.name FROM linked AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language INNER JOIN concept AS c ON c.concept_url = g.concept_url INNER JOIN mention AS m ON m.id_report = r.id_report AND m.language = r.language AND m.start = g.start AND g.stop = m.stop WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = %s AND r.institute = %s AND r.id_report = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username), str(annotation_mode), str(lang), str(inst), str(el[0]),batch])
ans = cursor.fetchall()
json_val['linking'] = []
for el in ans:
json_ass = {}
json_ass['start'] = el[4]
json_ass['stop'] = el[5]
json_ass['mention_text'] = el[6]
json_ass['area'] = el[7]
json_ass['concept_url'] = el[8]
json_ass['concept_name'] = el[9]
json_val['linking'].append(json_ass)
json_resp['groundtruths'].append(json_val)
if action == 'concepts':
cursor.execute(
"SELECT r.id_report,r.language,r.institute,g.ns_id,g.name,g.concept_url,c.name FROM contains AS g INNER JOIN report AS r ON r.id_report = g.id_report AND r.language = g.language INNER JOIN concept AS c ON c.concept_url = g.concept_url WHERE r.name = %s AND g.username = %s AND g.ns_id = %s AND r.language = %s AND r.institute = %s AND r.id_report = %s AND r.batch = COALESCE(%s,r.batch)",
[str(use), str(username), str(annotation_mode), str(lang), str(inst), str(el[0]),batch])
ans = cursor.fetchall()
json_val['concepts'] = []
for el in ans:
json_conc = {}
json_conc['area'] = el[4]
json_conc['concept_url'] = el[5]
json_conc['concept_name'] = el[6]
json_val['concepts'].append(json_conc)
json_resp['groundtruths'].append(json_val)
# print(json_resp)
return json_resp
from MedTAG_sket_dock_App.utils_majority_vote import *
def download_majority_gt(chosen_users,report_list,action,mode,format,response = None):
if format == 'json':
json_to_ret = create_majority_json(chosen_users,report_list,action,mode)
return json_to_ret
elif format == 'csv':
row_list = []
if action == 'labels':
row_list.append([ 'annotation_mode','action', 'id_report', 'language', 'institute', 'usecase', 'label','total_human_annotations','total_robot_annotations'])
elif action == 'mentions':
row_list.append(
['annotation_mode','action', 'id_report', 'language', 'institute', 'usecase', 'start', 'stop',
'mention_text','mention_annotators','total_human_annotations','total_robot_annotations'])
elif action == 'concept-mention':
row_list.append(
['annotation_mode','action', 'id_report', 'language', 'institute', 'usecase', 'start', 'stop',
'mention_text','concept_name', 'concept_url', 'area','total_human_annotations','total_robot_annotations'])
elif action == 'concepts':
row_list.append(
['annotation_mode','action', 'id_report', 'language', 'institute', 'usecase', 'concept_url',
'concept_name', 'area','total_human_annotations','total_robot_annotations'])
try:
# for report in report_list:
row_list.extend(create_majority_csv(chosen_users,report_list,action,mode))
except Exception as e:
print(e)
return False
else:
writer = csv.writer(response)
writer.writerows(row_list)
return response
elif format.startswith('bioc'):
ret = True
try:
writer = BioCXMLWriter()
json_writer = BioCJSONWriter()
writer.collection = BioCCollection()
json_writer.collection = BioCCollection()
collection = writer.collection
collection1 = json_writer.collection
today = str(date.today())
collection.date = today
collection.source = 'MEDTAG Collection'
collection.put_infon('gt_type', 'MAJORITY VOTE')
collection1.date = today
collection1.source = 'MEDTAG Collection'
collection1.put_infon('gt_type', 'MAJORITY VOTE')
if action == 'mentions':
collection.put_infon('annotation_type', 'mentions')
collection.key = 'mentions.key'
collection1.put_infon('annotation_type', 'mentions')
collection1.key = 'mentions.key'
for rep in report_list:
report = Report.objects.get(id_report=rep['id_report'],language=rep['language'])
data = get_fields_from_json()
json_keys_to_display_human = data['fields']
json_keys_to_display_human.extend(['authors', 'volume', 'journal', 'year'])
json_keys_to_ann_human = data['fields_to_ann']
json_keys_to_ann_human.extend(['abstract', 'title'])
json_keys_to_display_human = list(set(json_keys_to_display_human))
json_keys_to_ann_human = list(set(json_keys_to_ann_human))
json_keys_to_ann_robot = []
if mode == 'Robot':
workpath = os.path.dirname(
os.path.abspath(__file__)) # Returns the Path your .py file is in
with open(os.path.join(workpath,
'./automatic_annotation/auto_fields/auto_fields.json')) as out:
data = json.load(out)
json_keys_to_ann_robot = data['extract_fields'][report.name.name]
json_keys_to_ann_robot.append('abstract')
json_keys_to_ann_robot.append('title')
json_keys_to_ann_robot = list(set(json_keys_to_ann_robot))
json_keys = []
json_keys_to_ann = []
if mode == 'Human':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_human))
json_keys_to_ann = json_keys_to_ann_human
elif mode == 'Robot':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_robot))
json_keys_to_ann = json_keys_to_ann_robot
elif mode == 'both':
json_keys = list(
set(json_keys_to_display_human + json_keys_to_ann_robot + json_keys_to_ann_human))
json_keys_to_ann = list(set(json_keys_to_ann_robot + json_keys_to_ann_human))
json_dict = report_get_start_end(json_keys, json_keys_to_ann, report.id_report, report.language)
document = BioCDocument()
document.id = str(report.id_report)
document.put_infon('usecase', report.name_id)
document.put_infon('language', report.language)
document.put_infon('institute', report.institute)
gt_dict = create_majority_vote_gt(action, chosen_users, mode, report)
annotations = []
count = 0
for val in gt_dict[mode]:
annotation = BioCAnnotation()
annotation.id = str(count)
count = count + 1
loc_ann = BioCLocation()
loc_ann.offset = str(val['start'])
loc_ann.length = str(val['stop'] - val['start'] + 1)
annotation.add_location(loc_ann)
mention_text = val['mention']
mtext = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', mention_text)
annotation.text = mtext
couple = (annotation, val['start'], val['stop'])
annotations.append(couple)
seen = []
for key in json_keys_to_ann:
passage = BioCPassage()
passage.put_infon('section', key)
check = False
keys = json_dict['rep_string'].keys()
if key in list(keys):
if json_dict['rep_string'].get(key) != '':
passage.text = json_dict['rep_string'][key]['text']
start = str(json_dict['rep_string'][key]['start'])
passage.offset = (start)
for el in annotations:
if el not in seen:
if int(el[1]) >= int(json_dict['rep_string'][key]['start']) and int(
el[2]) <= int(json_dict['rep_string'][key]['end']):
check = True
passage.add_annotation(el[0])
seen.append(el)
if check:
document.add_passage(passage)
collection.add_document(document)
collection1.add_document(document)
elif action == 'concept-mention':
collection.put_infon('annotation_type', 'linking')
collection.key = 'linking.key'
collection1.put_infon('annotation_type', 'linking')
collection1.key = 'linking.key'
for rep in report_list:
report = Report.objects.get(id_report=rep['id_report'],
language=rep['language'])
data = get_fields_from_json()
json_keys_to_display_human = data['fields']
json_keys_to_display_human.extend(['authors', 'volume', 'journal', 'year'])
json_keys_to_ann_human = data['fields_to_ann']
json_keys_to_ann_human.extend(['abstract', 'title'])
json_keys_to_display_human = list(set(json_keys_to_display_human))
json_keys_to_ann_human = list(set(json_keys_to_ann_human))
json_keys_to_ann_robot = []
if mode == 'Robot':
workpath = os.path.dirname(
os.path.abspath(__file__)) # Returns the Path your .py file is in
with open(os.path.join(workpath,
'./automatic_annotation/auto_fields/auto_fields.json')) as out:
data = json.load(out)
json_keys_to_ann_robot = data['extract_fields'][report.name.name]
json_keys_to_ann_robot.append('abstract')
json_keys_to_ann_robot.append('title')
json_keys_to_ann_robot = list(set(json_keys_to_ann_robot))
json_keys = []
json_keys_to_ann = []
if mode == 'Human':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_human))
json_keys_to_ann = json_keys_to_ann_human
elif mode == 'Robot':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_robot))
json_keys_to_ann = json_keys_to_ann_robot
elif mode == 'both':
json_keys = list(
set(json_keys_to_display_human + json_keys_to_ann_robot + json_keys_to_ann_human))
json_keys_to_ann = list(set(json_keys_to_ann_robot + json_keys_to_ann_human))
json_dict = report_get_start_end(json_keys, json_keys_to_ann, report.id_report, report.language)
document = BioCDocument()
document.id = str(report.id_report)
document.put_infon('usecase', report.name_id)
document.put_infon('language', report.language)
document.put_infon('institute', report.institute)
gt_dict = create_majority_vote_gt(action, chosen_users, mode, report)
annotations = []
count = 0
maj_annotations = []
for val in gt_dict[mode]:
# data = get_fields_from_json()
# json_keys_to_display = data['fields']
# json_keys_to_ann = data['fields_to_ann']
json_dict = report_get_start_end(json_keys, json_keys_to_ann, report.id_report, report.language)
annotation = BioCAnnotation()
annotation.id = str(count)
annotation.put_infon('concept_name', val['concept_name'])
annotation.put_infon('concept_url', val['concept_url'])
count = count + 1
loc_ann = BioCLocation()
loc_ann.offset = str(val['start'])
loc_ann.length = str(val['stop']- val['start'] + 1)
annotation.add_location(loc_ann)
mention_text = val['mention']
mtext = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', mention_text)
annotation.text = mtext
couple = (annotation, val['start'], val['stop'])
annotations.append(couple)
seen = []
for key in json_keys_to_ann:
passage = BioCPassage()
passage.put_infon('section', key)
check = False
keys = json_dict['rep_string'].keys()
if key in list(keys):
if json_dict['rep_string'].get(key) != '':
# if json_dict['rep_string'].get(key) is not None and json_dict['rep_string'].get(key) != '':
passage.text = json_dict['rep_string'][key]['text']
start = str(json_dict['rep_string'][key]['start'])
passage.offset = (start)
for el in annotations:
if el not in seen:
if int(el[1]) >= int(json_dict['rep_string'][key]['start']) and int(
el[2]) <= int(json_dict['rep_string'][key]['end']):
check = True
print('annoto')
print(el)
passage.add_annotation(el[0])
seen.append(el)
if check:
document.add_passage(passage)
collection.add_document(document)
collection1.add_document(document)
# documents.append(document)
# workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in
# path = os.path.join(workpath, './static/BioC/BioC.dtd')
# path1 = os.path.join(workpath, './static/BioC/to_download.xml')
# print(writer.collection)
#
# writer.write(path1)
# print(writer)
# dtd_file = path
# xml_reader = BioCXMLReader(path1, dtd_valid_file=dtd_file)
# xml_reader.read()
# if format.endswith('json'):
# json_writer = BioCJSONWriter()
# json_writer.collection = xml_reader.collection
except Exception as e:
print(e)
return False
else:
ret = False
#os.remove(path1)
if format.endswith('json'):
# os.remove(path1)
return json_writer
return writer
from itertools import chain
def download_report_gt(report_list,action,mode=None,format = None,response = None):
"""This method creates the files to download from the reports table accessible only by the admin."""
cursor = connection.cursor()
if format == 'json':
json_resp = {}
json_resp['action'] = action
if mode == 'Robot':
json_resp['annotation_mode'] = 'Automatic'
elif mode =='Human':
json_resp['annotation_mode'] = 'Manual'
elif mode == 'both':
json_resp['annotation_mode'] = 'Manual_and_Automatic'
json_resp['ground_truth_list'] = []
for report in report_list:
rep = Report.objects.get(id_report = report['id_report'],language = report['language'])
ns_id_human = NameSpace.objects.get(ns_id = 'Human')
gt_human = GroundTruthLogFile.objects.filter(id_report = rep,language = rep.language,gt_type=action,ns_id = ns_id_human)
ns_id_robot = NameSpace.objects.get(ns_id = 'Robot')
agent = User.objects.get(username = 'Robot_user',ns_id = ns_id_robot)
gt_agent = GroundTruthLogFile.objects.filter(username = agent,id_report = rep,language = rep.language,gt_type=action,ns_id = ns_id_robot)
ins_arr = []
for el in gt_agent:
ins_arr.append(el.insertion_time)
gt_list = GroundTruthLogFile.objects.filter(id_report = rep,language = rep.language,gt_type=action,ns_id = ns_id_robot).exclude(insertion_time__in=ins_arr)
if mode == 'both':
gt = chain(gt_human,gt_list)
elif mode == 'Human':
gt = gt_human
elif mode == 'Robot':
gt = gt_list
for el in gt:
if el.username_id != 'Robot_user':
gt_j = el.gt_json
if mode != 'both':
del gt_j['mode']
json_resp['ground_truth_list'].append(el.gt_json)
return json_resp
elif format == 'csv':
row_list = []
if action == 'labels':
row_list.append(['username', 'user_type', 'id_report', 'language', 'institute', 'usecase', 'label'])
elif action == 'mentions':
row_list.append(
['username', 'user_type', 'id_report', 'language', 'institute', 'usecase', 'start', 'stop',
'mention_text'])
elif action == 'concept-mention':
row_list.append(
['username', 'user_type', 'id_report', 'language', 'institute', 'usecase', 'start', 'stop',
'mention_text',
'concept_name', 'concept_url', 'area'])
elif action == 'concepts':
row_list.append(
['username', 'user_type', 'id_report', 'language', 'institute', 'usecase', 'concept_url',
'concept_name', 'area'])
try:
for report in report_list:
rep = Report.objects.get(id_report=report['id_report'], language=report['language'])
cursor = connection.cursor()
if action == 'labels':
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name, a.label FROM report AS r INNER JOIN associate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE a.id_report = %s AND r.language = %s AND ns_id = %s ",
[str(report['id_report']), str(report['language']), 'Human'])
reports_human_labels = cursor.fetchall()
agent_ns = NameSpace.objects.get(ns_id = 'Robot')
agent = User.objects.get(username = 'Robot_user',ns_id = agent_ns)
ass = Associate.objects.filter(username = agent,ns_id = agent_ns,id_report = rep,language = rep.language)
ins_arr = []
reports_robot_labels = []
for el in ass:
ins_arr.append(el.insertion_time)
if len(ins_arr) > 0:
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name, a.label FROM report AS r INNER JOIN associate AS a ON r.id_report = a.id_report AND r.language = a.language WHERE a.id_report = %s AND r.language = %s AND ns_id = %s AND a.insertion_time not in %s",
[str(report['id_report']), str(report['language']), 'Robot',tuple(ins_arr)])
reports_robot_labels = cursor.fetchall()
if mode == 'both':
reports = chain(reports_human_labels, reports_robot_labels)
elif mode == 'Human':
reports = reports_human_labels
elif mode == 'Robot':
reports = reports_robot_labels
if action == 'mentions':
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s",
[str(report['id_report']), str(report['language']), 'Human'])
reports_human_mentions = cursor.fetchall()
agent_ns = NameSpace.objects.get(ns_id='Robot')
agent = User.objects.get(username='Robot_user', ns_id=agent_ns)
ass = Annotate.objects.filter(username=agent, ns_id=agent_ns, id_report=rep,
language=rep.language)
ins_arr = []
reports_robot_mentions = []
for el in ass:
ins_arr.append(el.insertion_time)
if len(ins_arr) > 0:
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s and a.insertion_time not in %s",
[str(report['id_report']), str(report['language']), 'Robot',tuple(ins_arr)])
reports_robot_mentions = cursor.fetchall()
if mode == 'both':
reports = chain(reports_human_mentions, reports_robot_mentions)
elif mode == 'Human':
reports = reports_human_mentions
elif mode == 'Robot':
reports = reports_robot_mentions
elif action == 'concepts':
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,c.concept_url, c.name, a.name FROM report AS r INNER JOIN contains AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept AS c ON c.concept_url = a.concept_url WHERE r.id_report = %s AND r.language = %s AND ns_id = %s",
[str(report['id_report']), str(report['language']), 'Human'])
reports_human_concepts = cursor.fetchall()
agent_ns = NameSpace.objects.get(ns_id='Robot')
agent = User.objects.get(username='Robot_user', ns_id=agent_ns)
ass = Contains.objects.filter(username=agent, ns_id=agent_ns, id_report=rep,
language=rep.language)
ins_arr = []
reports_robot_concepts =[]
for el in ass:
ins_arr.append(el.insertion_time)
if len(ins_arr) > 0:
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,c.concept_url, c.name, a.name FROM report AS r INNER JOIN contains AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept AS c ON c.concept_url = a.concept_url WHERE r.id_report = %s AND r.language = %s AND ns_id = %s and a.insertion_time not in %s",
[str(report['id_report']), str(report['language']), 'Robot',tuple(ins_arr)])
reports_robot_concepts = cursor.fetchall()
if mode == 'both':
reports = chain(reports_human_concepts, reports_robot_concepts)
elif mode == 'Human':
reports = reports_human_concepts
elif mode == 'Robot':
reports = reports_robot_concepts
elif action == 'concept-mention':
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c ON a.concept_url = c.concept_url INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s",
[str(report['id_report']), str(report['language']), 'Human'])
reports_human_linking = cursor.fetchall()
agent_ns = NameSpace.objects.get(ns_id='Robot')
agent = User.objects.get(username='Robot_user', ns_id=agent_ns)
ass = Linked.objects.filter(username=agent, ns_id=agent_ns, id_report=rep,
language=rep.language)
ins_arr = []
reports_robot_linking = []
for el in ass:
ins_arr.append(el.insertion_time)
if len(ins_arr) >0:
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.batch,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c ON a.concept_url = c.concept_url INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s and a.insertion_time not in %s",
[str(report['id_report']), str(report['language']), 'Robot',tuple(ins_arr)])
reports_robot_linking = cursor.fetchall()
if mode == 'both':
reports = chain(reports_human_linking,reports_robot_linking)
elif mode == 'Human':
reports = reports_human_linking
elif mode == 'Robot':
reports = reports_robot_linking
for el in reports:
row = list(el)
if row[0] != 'Robot_user':
if row[1] == 'Human':
row[1] = 'Manual'
else:
row[1] = 'Automatic'
if action == 'mentions' or action == 'concept-mention':
row[9] = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', row[9])
row_list.append(row)
except Exception as e:
print(e)
return False
else:
writer = csv.writer(response)
writer.writerows(row_list)
return response
elif format.startswith('bioc'):
if mode is not None and mode != 'both':
ns = NameSpace.objects.get(ns_id=mode)
try:
writer = BioCXMLWriter()
json_writer = BioCJSONWriter()
writer.collection = BioCCollection()
json_writer.collection = BioCCollection()
collection = writer.collection
collection1 = json_writer.collection
today = str(date.today())
collection.date = today
collection.source = 'MEDTAG Collection'
collection1.date = today
collection1.source = 'MEDTAG Collection'
if action == 'mentions':
collection.put_infon('annotation_type', 'mentions')
collection.key = 'mentions.key'
collection1.put_infon('annotation_type', 'mentions')
collection1.key = 'mentions.key'
for rep in report_list:
print(rep['id_report'])
report = Report.objects.get(id_report=rep['id_report'],language=rep['language'])
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s",
[str(rep['id_report']), str(rep['language']), 'Human'])
reports_human_mentions = cursor.fetchall()
agent_ns = NameSpace.objects.get(ns_id='Robot')
agent = User.objects.get(username='Robot_user', ns_id=agent_ns)
ass = Annotate.objects.filter(username=agent, ns_id=agent_ns, id_report=report,
language=report.language)
ins_arr = []
reports_robot_mentions = []
for el in ass:
ins_arr.append(el.insertion_time)
if len(ins_arr) > 0:
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.institute,r.name,a.start,a.stop,m.mention_text FROM report AS r INNER JOIN annotate AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s and a.insertion_time not in %s",
[str(rep['id_report']), str(rep['language']), 'Robot', tuple(ins_arr)])
reports_robot_mentions = cursor.fetchall()
if mode == 'both':
reports = list(chain(reports_human_mentions, reports_robot_mentions))
elif mode == 'Human':
reports = reports_human_mentions
elif mode == 'Robot':
reports = reports_robot_mentions
data = get_fields_from_json()
json_keys_to_display_human = data['fields']
json_keys_to_display_human.extend(['authors','volume','journal','year'])
json_keys_to_ann_human = data['fields_to_ann']
json_keys_to_ann_human.extend(['abstract','title'])
json_keys_to_display_human = list(set(json_keys_to_display_human))
json_keys_to_ann_human = list(set(json_keys_to_ann_human))
json_keys_to_ann_robot = []
workpath = os.path.dirname(
os.path.abspath(__file__)) # Returns the Path your .py file is in
with open(os.path.join(workpath,
'./automatic_annotation/auto_fields/auto_fields.json')) as out:
data = json.load(out)
json_keys_to_ann_robot = data['extract_fields'][report.name.name]
json_keys_to_ann_robot.append('abstract')
json_keys_to_ann_robot.append('title')
json_keys_to_ann_robot = list(set(json_keys_to_ann_robot))
json_keys = []
json_keys_to_ann = []
if mode == 'Human':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_human))
json_keys_to_ann = json_keys_to_ann_human
elif mode == 'Robot':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_robot))
json_keys_to_ann = json_keys_to_ann_robot
elif mode == 'both':
json_keys = list(
set(json_keys_to_display_human + json_keys_to_ann_robot + json_keys_to_ann_human))
json_keys_to_ann = list(set(json_keys_to_ann_robot + json_keys_to_ann_human))
document = BioCDocument()
document.id = str(report.id_report)
document.put_infon('usecase', report.name_id)
document.put_infon('language', report.language)
document.put_infon('institute', report.institute)
document1 = BioCDocument()
document1.id = str(report.id_report)
document1.put_infon('usecase', report.name_id)
document1.put_infon('language', report.language)
document1.put_infon('institute', report.institute)
annotations = []
count = 0
maj_annotations = []
for el in reports:
# print(el)
mention = Mention.objects.get(start=el[6], stop=el[7], id_report=report,language=report.language)
json_dict = report_get_start_end(json_keys,json_keys_to_ann,report.id_report,report.language)
annotation = BioCAnnotation()
annotation.id = str(count)
count = count + 1
loc_ann = BioCLocation()
loc_ann.offset = str(mention.start)
loc_ann.length = str(mention.stop - mention.start + 1)
annotation.add_location(loc_ann)
mention_text = mention.mention_text
mtext = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', mention_text)
annotation.text = mtext
couple = (annotation, mention.start, mention.stop)
annotations.append(couple)
seen = []
for key in json_keys_to_ann:
passage = BioCPassage()
passage.put_infon('section', key)
check = False
keys = json_dict['rep_string'].keys()
if key in keys:
if json_dict['rep_string'].get(key) != '':
passage.text = json_dict['rep_string'][key]['text']
start = str(json_dict['rep_string'][key]['start'])
passage.offset = (start)
for el in annotations:
if el not in seen:
if int(el[1]) >= int(json_dict['rep_string'][key]['start']) and int(
el[2]) <= int(json_dict['rep_string'][key]['end']):
check = True
passage.add_annotation(el[0])
seen.append(el)
# passage.add_annotation(el[0])
if check:
document.add_passage(passage)
document1.add_passage(passage)
collection.add_document(document)
for doc in collection:
print(doc.id)
collection1.add_document(document)
elif action == 'concept-mention':
collection.put_infon('annotation_type', 'linking')
collection.key = 'linking.key'
collection1.put_infon('annotation_type', 'linking')
collection1.key = 'linking.key'
documents = []
# reports = Annotate.objects.filter(username=username).values('id_report','language').distinct()
for rep in report_list:
document = ''
report = Report.objects.get(id_report=rep['id_report'],
language=rep['language'])
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c ON a.concept_url = c.concept_url INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s",
[str(rep['id_report']), str(rep['language']), 'Human'])
reports_human_linking = cursor.fetchall()
agent_ns = NameSpace.objects.get(ns_id='Robot')
agent = User.objects.get(username='Robot_user', ns_id=agent_ns)
ass = Linked.objects.filter(username=agent, ns_id=agent_ns, id_report=report,
language=report.language)
ins_arr = []
reports_robot_linking = []
for el in ass:
ins_arr.append(el.insertion_time)
if len(ins_arr) > 0:
cursor.execute(
"SELECT a.username,a.ns_id,r.id_report,r.language,r.institute,r.name,a.start,a.stop,m.mention_text,c.name,c.concept_url,a.name FROM report AS r INNER JOIN linked AS a ON r.id_report = a.id_report AND r.language = a.language INNER JOIN concept as c ON a.concept_url = c.concept_url INNER JOIN mention AS m ON m.id_report = a.id_report AND m.language = a.language AND a.start = m.start AND a.stop = m.stop WHERE r.id_report = %s AND r.language = %s AND ns_id = %s and a.insertion_time not in %s",
[str(rep['id_report']), str(rep['language']), 'Robot', tuple(ins_arr)])
reports_robot_linking = cursor.fetchall()
if mode == 'both':
reports = list(chain(reports_human_linking, reports_robot_linking))
elif mode == 'Human':
reports = reports_human_linking
elif mode == 'Robot':
reports = reports_robot_linking
data = get_fields_from_json()
json_keys_to_display_human = data['fields']
json_keys_to_display_human.extend(['authors', 'volume', 'journal', 'year'])
json_keys_to_ann_human = data['fields_to_ann']
json_keys_to_ann_human.extend(['abstract', 'title'])
json_keys_to_display_human = list(set(json_keys_to_display_human))
json_keys_to_ann_human = list(set(json_keys_to_ann_human))
json_keys_to_ann_robot = []
workpath = os.path.dirname(
os.path.abspath(__file__)) # Returns the Path your .py file is in
with open(os.path.join(workpath,
'./automatic_annotation/auto_fields/auto_fields.json')) as out:
data = json.load(out)
json_keys_to_ann_robot = data['extract_fields'][report.name.name]
json_keys_to_ann_robot.append('abstract')
json_keys_to_ann_robot.append('title')
json_keys_to_ann_robot = list(set(json_keys_to_ann_robot))
json_keys = []
json_keys_to_ann = []
if mode == 'Human':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_human))
json_keys_to_ann = json_keys_to_ann_human
elif mode == 'Robot':
json_keys = list(set(json_keys_to_display_human + json_keys_to_ann_robot))
json_keys_to_ann = json_keys_to_ann_robot
elif mode == 'both':
json_keys = list(
set(json_keys_to_display_human + json_keys_to_ann_robot + json_keys_to_ann_human))
json_keys_to_ann = list(set(json_keys_to_ann_robot + json_keys_to_ann_human))
document = BioCDocument()
document.id = str(report.id_report)
document.put_infon('usecase', report.name_id)
document.put_infon('language', report.language)
document.put_infon('institute', report.institute)
annotations = []
count = 0
maj_annotations = []
for el in reports:
mention = Mention.objects.get(start=el[6], stop=el[7], id_report=report,
language=report.language)
concept = Concept.objects.get(concept_url=el[10])
json_dict = report_get_start_end(json_keys, json_keys_to_ann, report.id_report, report.language)
annotation = BioCAnnotation()
annotation.id = str(count)
annotation.put_infon('concept_name', concept.name)
annotation.put_infon('concept_url', concept.concept_url)
count = count + 1
loc_ann = BioCLocation()
loc_ann.offset = str(mention.start)
loc_ann.length = str(mention.stop - mention.start + 1)
annotation.add_location(loc_ann)
mention_text = mention.mention_text
mtext = re.sub('[^a-zA-Z0-9n\-_/\' ]+', '', mention_text)
annotation.text = mtext
couple = (annotation, mention.start, mention.stop)
annotations.append(couple)
seen = []
for key in json_keys_to_ann:
passage = BioCPassage()
passage.put_infon('section', key)
check = False
keys = json_dict['rep_string'].keys()
if key in keys:
if json_dict['rep_string'].get(key) != '':
# if json_dict['rep_string'].get(key) is not None and json_dict['rep_string'].get(key) != '':
passage.text = json_dict['rep_string'][key]['text']
start = str(json_dict['rep_string'][key]['start'])
passage.offset = (start)
for el in annotations:
if el not in seen:
# start1 = int(el[1])
# start2 = int(json_dict['rep_string'][key]['start'])
# stop1 = int(el[2])
# stop2 = int(json_dict['rep_string'][key]['end'])
if int(el[1]) >= int(json_dict['rep_string'][key]['start']) and int(
el[2]) <= int(json_dict['rep_string'][key]['end']):
check = True
passage.add_annotation(el[0])
seen.append(el)
# passage.add_annotation(el[0])
if check:
document.add_passage(passage)
collection.add_document(document)
for doc in collection:
print(doc.id)
collection1.add_document(document)
# print(writer)
# documents.append(document)
except Exception as e:
print(e)
return False
else:
# os.remove(path1)
if format.endswith('json'):
# os.remove(path1)
return json_writer
# return True
return writer
| 70.158004
| 1,063
| 0.555128
| 13,289
| 101,238
| 4.055384
| 0.021221
| 0.058933
| 0.013731
| 0.025328
| 0.937208
| 0.923978
| 0.91071
| 0.901581
| 0.89607
| 0.889761
| 0
| 0.003124
| 0.332859
| 101,238
| 1,442
| 1,064
| 70.206657
| 0.794803
| 0.120844
| 0
| 0.802913
| 0
| 0.044559
| 0.327073
| 0.067135
| 0
| 0
| 0
| 0
| 0
| 1
| 0.004284
| false
| 0.031705
| 0.005998
| 0
| 0.026564
| 0.010283
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
1c0ebc7cfeca229af4ecb40d82b0236d449c2eb4
| 984
|
py
|
Python
|
src/binary.py
|
dsanno/chainer-etl9
|
e6968442b9aa159302a1b5c02fced686f72ef682
|
[
"MIT"
] | 7
|
2016-09-10T07:34:13.000Z
|
2018-05-13T06:00:51.000Z
|
src/binary.py
|
dsanno/chainer-etl9
|
e6968442b9aa159302a1b5c02fced686f72ef682
|
[
"MIT"
] | null | null | null |
src/binary.py
|
dsanno/chainer-etl9
|
e6968442b9aa159302a1b5c02fced686f72ef682
|
[
"MIT"
] | 3
|
2016-05-17T03:22:18.000Z
|
2018-05-13T06:00:55.000Z
|
from struct import unpack
def read8(str, offset=0):
return unpack('B', str[offset:offset + 1])[0]
def read16be(str, offset=0):
return unpack('>H', str[offset:offset + 2])[0]
def read16le(str, offset=0):
return unpack('<H', str[offset:offset + 2])[0]
def read32be(str, offset=0):
return unpack('>I', str[offset:offset + 4])[0]
def read32le(str, offset=0):
return unpack('<I', str[offset:offset + 4])[0]
def read8s(str, length, offset=0):
return unpack('{}B'.format(length), str[offset:offset + length])
def read16bes(str, length, offset=0):
return unpack('>{}H'.format(length), str[offset:offset + 2 * length])
def read16les(str, length, offset=0):
return unpack('<{}H'.format(length), str[offset:offset + 2 * length])
def read32bes(str, length, offset=0):
return unpack('>{}I'.format(length), str[offset:offset + 4 * length])
def read32les(str, length, offset=0):
return unpack('<{}I'.format(length), str[offset:offset + 4 * length])
| 30.75
| 73
| 0.655488
| 148
| 984
| 4.358108
| 0.182432
| 0.209302
| 0.20155
| 0.294574
| 0.789147
| 0.710078
| 0.666667
| 0.666667
| 0.666667
| 0.666667
| 0
| 0.050179
| 0.14939
| 984
| 31
| 74
| 31.741935
| 0.72043
| 0
| 0
| 0
| 0
| 0
| 0.028455
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.47619
| false
| 0
| 0.047619
| 0.47619
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
1c17a288ee42144ff967cd9cce7cf0978bec27fd
| 154
|
py
|
Python
|
Lesson4/ActivityA/sum.py
|
cedrickadi/Beginning-Jenkins
|
f4c4d23031ac82d729e4773e51c83dd69b0dd0d4
|
[
"MIT"
] | 9
|
2019-04-30T18:08:55.000Z
|
2022-01-24T22:43:03.000Z
|
Lesson4/ActivityA/sum.py
|
cedrickadi/Beginning-Jenkins
|
f4c4d23031ac82d729e4773e51c83dd69b0dd0d4
|
[
"MIT"
] | 1
|
2021-03-20T05:48:31.000Z
|
2021-03-20T05:48:31.000Z
|
Lesson4/ActivityA/sum.py
|
cedrickadi/Beginning-Jenkins
|
f4c4d23031ac82d729e4773e51c83dd69b0dd0d4
|
[
"MIT"
] | 148
|
2018-10-07T20:00:42.000Z
|
2022-03-14T08:09:45.000Z
|
def add_numbers(number1, number2):
return number1 + number2
def add_three_numbers(number1, number2, number3):
return number1 + number2 + number3
| 25.666667
| 49
| 0.753247
| 19
| 154
| 5.947368
| 0.421053
| 0.495575
| 0.371681
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078125
| 0.168831
| 154
| 5
| 50
| 30.8
| 0.804688
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
1c431e9494b623ae6f2fdbb6c1b0e694576fc004
| 2,641
|
py
|
Python
|
module4-acid-and-database-scalability-tradeoffs/Assignment/assignment_mongo.py
|
singparvi/DS-Unit-3-Sprint-2-SQL-and-Databases
|
7d61f09a410ea91731caddb4fcc96b84cb9b0221
|
[
"MIT"
] | null | null | null |
module4-acid-and-database-scalability-tradeoffs/Assignment/assignment_mongo.py
|
singparvi/DS-Unit-3-Sprint-2-SQL-and-Databases
|
7d61f09a410ea91731caddb4fcc96b84cb9b0221
|
[
"MIT"
] | null | null | null |
module4-acid-and-database-scalability-tradeoffs/Assignment/assignment_mongo.py
|
singparvi/DS-Unit-3-Sprint-2-SQL-and-Databases
|
7d61f09a410ea91731caddb4fcc96b84cb9b0221
|
[
"MIT"
] | null | null | null |
import pymongo
# now make a connection with mongo db and test connection
mongo_client = pymongo.MongoClient(
'mongodb+srv://singparvi:qwerty12345@cluster0.l0ldo.mongodb.net/myFirstDatabase?retryWrites=true&w=majority')
rpg_collections = mongo_client.myFirstDatabase.rpg_collections
# How many total Characters are there?
print('How many total Characters are there?: ', rpg_collections.count())
print("\n")
# How many total Items? ok
items_list = []
for document in rpg_collections.find():
# pprint.pprint(document)
items_list.append(document['items'])
# flatten list
flat_list = [item for sublist in items_list for item in sublist]
# get the number of unique in the items
print('How many total Items?: ', len(set(flat_list)))
print("\n")
# How many of the Items are weapons? How many are not? ok
items_list = []
for document in rpg_collections.find():
# pprint.pprint(document)
items_list.append(document['weapons'])
# flatten list
flat_list = [item for sublist in items_list for item in sublist]
# get the number of unique in the items
print('How many of the Items are weapons? ', len(set(flat_list)))
print("\n")
# How many Items does each character have? (Return first 20 rows)
print('How many Items does each character have? (Return first 20 rows)')
items_list = []
i = 0
for document in rpg_collections.find():
# pprint.pprint(document)
if i < 20:
i = i + 1
print('Item ', i, document['name'], 'has ', len(document['items']), 'items')
print()
# How many Weapons does each character have? (Return first 20 rows)
print('How many Weapons does each character have? (Return first 20 rows)')
items_list = []
i = 0
for document in rpg_collections.find():
# pprint.pprint(document)
if i < 20:
i = i + 1
print('Item ', i, document['name'], 'has ', len(document['weapons']), 'items')
print()
# On average, how many Items does each Character have?
items_list = []
i = 0
for document in rpg_collections.find():
# pprint.pprint(document)
items_list.append(document['items'])
# flatten the list
flat_list = [item for sublist in items_list for item in sublist]
print('On average, how many Items does each Character have? ', len(flat_list) / rpg_collections.count())
# On average, how many Weapons does each character have?
items_list = []
i = 0
for document in rpg_collections.find():
# pprint.pprint(document)
items_list.append(document['weapons'])
# flatten the list
flat_list = [item for sublist in items_list for item in sublist]
print('On average, how many Items does each Character have? ', len(flat_list) / rpg_collections.count())
| 33.43038
| 113
| 0.711094
| 394
| 2,641
| 4.677665
| 0.187817
| 0.056972
| 0.073793
| 0.091156
| 0.818231
| 0.818231
| 0.785676
| 0.756375
| 0.730874
| 0.730874
| 0
| 0.011452
| 0.173419
| 2,641
| 78
| 114
| 33.858974
| 0.832799
| 0.261643
| 0
| 0.76087
| 0
| 0.021739
| 0.266459
| 0.054951
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.021739
| 0
| 0.021739
| 0.304348
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
1c55a25dfd2b153fe629b3de26d074dcd4ff2b36
| 1,964
|
py
|
Python
|
make_juypter_toc/test.py
|
rawrgulmuffins/make_juypter_toc
|
3247d002ae7a812c671fc17a98a6a31528308368
|
[
"Apache-2.0"
] | null | null | null |
make_juypter_toc/test.py
|
rawrgulmuffins/make_juypter_toc
|
3247d002ae7a812c671fc17a98a6a31528308368
|
[
"Apache-2.0"
] | null | null | null |
make_juypter_toc/test.py
|
rawrgulmuffins/make_juypter_toc
|
3247d002ae7a812c671fc17a98a6a31528308368
|
[
"Apache-2.0"
] | null | null | null |
"""
"""
from make_juypter_toc import headers_to_table
def test_headers_to_tables_no_headers():
table = headers_to_table(None, "test")
assert table is None
def test_headers_to_tables_one_level_nesting():
example_data = [
u'#Introduction',
u'#Why Flask?\n',
u'#Topics Not Covered\n']
table = headers_to_table(example_data, "test_name")
expected_table = [
u'* [Introduction](http://localhost:8888/notebooks/test_name#Introduction)',
u'* [Why Flask?](http://localhost:8888/notebooks/test_name#Why-Flask?)',
u'* [Topics Not Covered](http://localhost:8888/notebooks/test_name#Topics-Not-Covered)',]
assert table == expected_table
def test_headers_to_tables_two_level_nesting():
example_data = [
u'#Introduction',
u'##Why Flask?\n',
u'#Topics Not Covered\n']
table = headers_to_table(example_data, "test_name")
expected_table = [
u'* [Introduction](http://localhost:8888/notebooks/test_name#Introduction)',
u' * [Why Flask?](http://localhost:8888/notebooks/test_name#Why-Flask?)',
u'* [Topics Not Covered](http://localhost:8888/notebooks/test_name#Topics-Not-Covered)',]
assert table == expected_table
def test_headers_to_tables_three_level_nesting():
example_data = [
u'#Introduction',
u'##Why Flask?\n',
u'###Topics Not Covered\n',
u'#Routes\n',]
table = headers_to_table(example_data, "test_name")
expected_table = [
u'* [Introduction](http://localhost:8888/notebooks/test_name#Introduction)',
u' * [Why Flask?](http://localhost:8888/notebooks/test_name#Why-Flask?)',
u' * [Topics Not Covered](http://localhost:8888/notebooks/test_name#Topics-Not-Covered)',
u'* [Routes](http://localhost:8888/notebooks/test_name#Routes)',]
assert table == expected_table
| 42.695652
| 108
| 0.637984
| 241
| 1,964
| 4.950207
| 0.153527
| 0.087175
| 0.142498
| 0.217938
| 0.881811
| 0.86337
| 0.812238
| 0.812238
| 0.812238
| 0.812238
| 0
| 0.026042
| 0.217923
| 1,964
| 45
| 109
| 43.644444
| 0.750651
| 0
| 0
| 0.692308
| 0
| 0.076923
| 0.47675
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 1
| 0.102564
| false
| 0
| 0.025641
| 0
| 0.128205
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
1c8c9fe4b11dff3e3575416803702baa4022065b
| 14,423
|
py
|
Python
|
engine/trainer.py
|
ZHUXUHAN/reid-baseline
|
43e8734be52a90d8131af8c4b43536ba6911bdaa
|
[
"MIT"
] | 2
|
2019-11-30T08:11:22.000Z
|
2019-12-11T14:35:01.000Z
|
engine/trainer.py
|
ZHUXUHAN/reid-baseline
|
43e8734be52a90d8131af8c4b43536ba6911bdaa
|
[
"MIT"
] | 1
|
2020-01-09T03:48:26.000Z
|
2020-03-07T01:22:37.000Z
|
engine/trainer.py
|
ZHUXUHAN/reid-baseline
|
43e8734be52a90d8131af8c4b43536ba6911bdaa
|
[
"MIT"
] | 1
|
2019-11-30T09:24:17.000Z
|
2019-11-30T09:24:17.000Z
|
# encoding: utf-8
"""
@author: sherlock
@contact: sherlockliao01@gmail.com
"""
import logging
import torch
import torch.nn as nn
from ignite.engine import Engine, Events
from ignite.handlers import ModelCheckpoint, Timer
from ignite.metrics import RunningAverage
from utils.reid_metric import R1_mAP
from utils.reid_metric import R1_mAP_reranking_training
from apex.parallel import DistributedDataParallel as DDP
from apex.fp16_utils import *
from apex import amp, optimizers
from apex.multi_tensor_apply import multi_tensor_applier
global ITER
ITER = 0
def create_supervised_trainer(model, optimizer, loss_fn, aligned_train, pcb_train, mgn_train, new_pcb_train,
device=None):
"""
Factory function for creating a trainer for supervised models
Args:
model (`torch.nn.Module`): the model to train
optimizer (`torch.optim.Optimizer`): the optimizer to use
loss_fn (torch.nn loss function): the loss function to use
device (str, optional): device type specification (default: None).
Applies to both model and batches.
Returns:
Engine: a trainer engine with supervised update function
"""
if device:
if torch.cuda.device_count() > 1:
model = nn.DataParallel(model)
model.to(device)
def _update(engine, batch):
model.train()
optimizer.zero_grad()
img, target = batch
img = img.to(device) if torch.cuda.device_count() >= 1 else img
target = target.to(device) if torch.cuda.device_count() >= 1 else target
if aligned_train:
score, feat, local_feat = model(img)
loss = loss_fn(score, feat, target, None, local_feat)
elif pcb_train:
score, feat, local_score, local_feat, res3_feat, res3_score = model(img, None)
loss = loss_fn(score, feat, target, local_score, local_feat, res3_feat, res3_score)
elif new_pcb_train:
score, feat, local_score, local_feat = model(img, None)
loss = loss_fn(score, feat, target, local_score, local_feat)
elif mgn_train:
score, feat, local_feat = model(img)
loss = loss_fn(score, feat, target, None, local_feat)
else:
score, feat = model(img)
loss = loss_fn(score, feat, target, None, None)
loss.backward()
optimizer.step()
if type(score) == tuple:
sum_score = 0
for s in score:
sum_score += (s.max(1)[1] == target).float().mean()
acc = sum_score / len(score)
else:
acc = (score.max(1)[1] == target).float().mean()
return loss.item(), acc.item()
return Engine(_update)
def create_supervised_trainer_with_center(model, center_criterion, optimizer, optimizer_center, loss_fn,
cetner_loss_weight,
aligned_train, pcb_train, mgn_train, arc_train, new_pcb_train, device=None):
"""
Factory function for creating a trainer for supervised models
Args:
model (`torch.nn.Module`): the model to train
optimizer (`torch.optim.Optimizer`): the optimizer to use
loss_fn (torch.nn loss function): the loss function to use
device (str, optional): device type specification (default: None).
Applies to both model and batches.
Returns:
Engine: a trainer engine with supervised update function
"""
if device:
if torch.cuda.device_count() > 1:
model = nn.DataParallel(model)
model.to(device)
model, optimizer = amp.initialize(model, optimizer,opt_level='O1')
def _update(engine, batch):
model.train()
optimizer.zero_grad()
optimizer_center.zero_grad()
img, target = batch
img = img.to(device) if torch.cuda.device_count() >= 1 else img
target = target.to(device) if torch.cuda.device_count() >= 1 else target
if aligned_train:
score, feat, local_feat = model(img)
loss = loss_fn(score, feat, target, None, local_feat)
elif pcb_train:
if arc_train:
score, feat, local_score, local_feat = model(img, target)
else:
score, feat, local_score, local_feat = model(img, None)
loss = loss_fn(score, feat, target, local_score, local_feat, None, None)
elif new_pcb_train:
if arc_train:
score, feat, local_score, local_feat = model(img, target)
else:
score, feat, local_score, local_feat, local_score_2, local_feat_2 = model(img, None)
loss = loss_fn(score, feat, target, local_score, local_feat, local_score_2, local_feat_2)
elif mgn_train:
score, feat, local_feat = model(img)
loss = loss_fn(score, feat, target, None, local_feat, None, None)
else:
score, feat = model(img)
loss = loss_fn(score, feat, target, None, None)
# print("Total loss is {}, center loss is {}".format(loss, center_criterion(feat, target)))
loss.backward()
#if you use fp16 please use follwing codes
# with amp.scale_loss(loss, optimizer) as scaled_loss:
# scaled_loss.backward()
optimizer.step()
for param in center_criterion.parameters():
param.grad.data *= (1. / cetner_loss_weight)
optimizer_center.step()
# compute acc
if type(score) == tuple:
sum_score = 0
for s in score:
sum_score += (s.max(1)[1] == target).float().mean()
acc = sum_score / len(score)
else:
acc = (score.max(1)[1] == target).float().mean()
return loss.item(), acc.item()
return Engine(_update)
def create_supervised_evaluator(model, metrics,
device=None):
"""
Factory function for creating an evaluator for supervised models
Args:
model (`torch.nn.Module`): the model to train
metrics (dict of str - :class:`ignite.metrics.Metric`): a map of metric names to Metrics
device (str, optional): device type specification (default: None).
Applies to both model and batches.
Returns:
Engine: an evaluator engine with supervised inference function
"""
if device:
if torch.cuda.device_count() > 1:
model = nn.DataParallel(model)
model.to(device)
def _inference(engine, batch):
model.eval()
with torch.no_grad():
data, pids, camids, data_flip = batch
data = data.to(device) if torch.cuda.device_count() >= 1 else data
data_flip = data_flip.to(device) if torch.cuda.device_count() >= 1 else data_flip
feat, local_feat = model(data, None)
feat_flip, local_feat_flip = model(data_flip, None)
return feat, local_feat, pids, camids, feat_flip, local_feat_flip
engine = Engine(_inference)
for name, metric in metrics.items():
metric.attach(engine, name)
return engine
def do_train(
cfg,
model,
train_loader,
val_loader,
optimizer,
scheduler,
loss_fn,
num_query,
start_epoch
):
log_period = cfg.SOLVER.LOG_PERIOD
checkpoint_period = cfg.SOLVER.CHECKPOINT_PERIOD
eval_period = cfg.SOLVER.EVAL_PERIOD
output_dir = cfg.OUTPUT_DIR
device = cfg.MODEL.DEVICE
epochs = cfg.SOLVER.MAX_EPOCHS
aligned_train = cfg.MODEL.ALIGNED
pcb_train = cfg.MODEL.PCB
mgn_train = cfg.MODEL.MGN
new_pcb_train = cfg.MODEL.NEW_PCB
logger = logging.getLogger("reid_baseline.train")
logger.info("Start training")
trainer = create_supervised_trainer(model, optimizer, loss_fn, aligned_train, pcb_train, mgn_train, new_pcb_train,
device=device)
# evaluator = create_supervised_evaluator(model, metrics={'r1_mAP': R1_mAP(num_query, max_rank=50, feat_norm=cfg.TEST.FEAT_NORM)}, device=device)
checkpointer = ModelCheckpoint(output_dir, cfg.MODEL.NAME, checkpoint_period, n_saved=10, require_empty=False)
timer = Timer(average=True)
trainer.add_event_handler(Events.EPOCH_COMPLETED, checkpointer, {'model': model,
'optimizer': optimizer})
timer.attach(trainer, start=Events.EPOCH_STARTED, resume=Events.ITERATION_STARTED,
pause=Events.ITERATION_COMPLETED, step=Events.ITERATION_COMPLETED)
# average metric to attach on trainer
RunningAverage(output_transform=lambda x: x[0]).attach(trainer, 'avg_loss')
RunningAverage(output_transform=lambda x: x[1]).attach(trainer, 'avg_acc')
@trainer.on(Events.STARTED)
def start_training(engine):
engine.state.epoch = start_epoch
@trainer.on(Events.EPOCH_STARTED)
def adjust_learning_rate(engine):
scheduler.step()
@trainer.on(Events.ITERATION_COMPLETED)
def log_training_loss(engine):
global ITER
ITER += 1
if ITER % log_period == 0:
logger.info("Epoch[{}] Iteration[{}/{}] Loss: {:.3f}, Acc: {:.3f}, Base Lr: {:.2e}"
.format(engine.state.epoch, ITER, len(train_loader),
engine.state.metrics['avg_loss'], engine.state.metrics['avg_acc'],
scheduler.get_lr()[0]))
if len(train_loader) == ITER:
ITER = 0
# adding handlers using `trainer.on` decorator API
@trainer.on(Events.EPOCH_COMPLETED)
def print_times(engine):
logger.info('Epoch {} done. Time per batch: {:.3f}[s] Speed: {:.1f}[samples/s]'
.format(engine.state.epoch, timer.value() * timer.step_count,
train_loader.batch_size / timer.value()))
logger.info('-' * 10)
timer.reset()
@trainer.on(Events.EPOCH_COMPLETED)
def log_validation_results(engine):
pass
if engine.state.epoch % eval_period == 0:
evaluator.run(val_loader)
cmc, mAP = evaluator.state.metrics['r1_mAP']
logger.info("Validation Results - Epoch: {}".format(engine.state.epoch))
logger.info("mAP: {:.1%}".format(mAP))
for r in [1, 5, 10]:
logger.info("CMC curve, Rank-{:<3}:{:.1%}".format(r, cmc[r - 1]))
trainer.run(train_loader, max_epochs=epochs)
def do_train_with_center(
cfg,
model,
center_criterion,
train_loader,
val_loader,
optimizer,
optimizer_center,
scheduler,
loss_fn,
num_query,
start_epoch,
datasets
):
log_period = cfg.SOLVER.LOG_PERIOD
checkpoint_period = cfg.SOLVER.CHECKPOINT_PERIOD
eval_period = cfg.SOLVER.EVAL_PERIOD
output_dir = cfg.OUTPUT_DIR
device = cfg.MODEL.DEVICE
epochs = cfg.SOLVER.MAX_EPOCHS
mgn_train = cfg.MODEL.MGN
aligned_train = cfg.MODEL.ALIGNED
pcb_train = cfg.MODEL.PCB
arc_train = cfg.MODEL.ARC
new_pcb_train = cfg.MODEL.NEW_PCB
logger = logging.getLogger("reid_baseline.train")
logger.info("Start training")
trainer = create_supervised_trainer_with_center(model, center_criterion, optimizer, optimizer_center, loss_fn,
cfg.SOLVER.CENTER_LOSS_WEIGHT, aligned_train, pcb_train, mgn_train,
arc_train, new_pcb_train, device=device)
evaluator = create_supervised_evaluator(model, metrics={
'r1_mAP': R1_mAP_reranking_training(num_query, max_rank=200, feat_norm=cfg.TEST.FEAT_NORM)}, device=device)
checkpointer = ModelCheckpoint(output_dir, cfg.MODEL.NAME, checkpoint_period, n_saved=10, require_empty=False)
timer = Timer(average=True)
trainer.add_event_handler(Events.EPOCH_COMPLETED, checkpointer, {'model': model,
'optimizer': optimizer,
'center_param': center_criterion,
'optimizer_center': optimizer_center})
timer.attach(trainer, start=Events.EPOCH_STARTED, resume=Events.ITERATION_STARTED,
pause=Events.ITERATION_COMPLETED, step=Events.ITERATION_COMPLETED)
# average metric to attach on trainer
RunningAverage(output_transform=lambda x: x[0]).attach(trainer, 'avg_loss')
RunningAverage(output_transform=lambda x: x[1]).attach(trainer, 'avg_acc')
@trainer.on(Events.STARTED)
def start_training(engine):
engine.state.epoch = start_epoch
@trainer.on(Events.EPOCH_STARTED)
def adjust_learning_rate(engine):
scheduler.step()
@trainer.on(Events.ITERATION_COMPLETED)
def log_training_loss(engine):
global ITER
ITER += 1
if ITER % log_period == 0:
logger.info("Epoch[{}] Iteration[{}/{}] Loss: {:.3f}, Acc: {:.3f}, Base Lr: {:.2e}"
.format(engine.state.epoch, ITER, len(train_loader),
engine.state.metrics['avg_loss'], engine.state.metrics['avg_acc'],
scheduler.get_lr()[0]))
if len(train_loader) == ITER:
ITER = 0
# adding handlers using `trainer.on` decorator API
@trainer.on(Events.EPOCH_COMPLETED)
def print_times(engine):
logger.info('Epoch {} done. Time per batch: {:.3f}[s] Speed: {:.1f}[samples/s]'
.format(engine.state.epoch, timer.value() * timer.step_count,
train_loader.batch_size / timer.value()))
logger.info('-' * 10)
timer.reset()
@trainer.on(Events.EPOCH_COMPLETED)
def log_validation_results(engine):
pass
if engine.state.epoch % eval_period == 0:
evaluator.run(val_loader)
cmc, mAP = evaluator.state.metrics['r1_mAP']
logger.info("Validation Results - Epoch: {}".format(engine.state.epoch))
logger.info("mAP: {:.1%}".format(mAP))
for r in [1, 5, 10]:
logger.info("CMC curve, Rank-{:<3}:{:.1%}".format(r, cmc[r - 1]))
trainer.run(train_loader, max_epochs=epochs)
| 38.876011
| 149
| 0.611107
| 1,750
| 14,423
| 4.850286
| 0.132
| 0.025448
| 0.016494
| 0.017672
| 0.836004
| 0.817271
| 0.81303
| 0.798186
| 0.790528
| 0.78016
| 0
| 0.009491
| 0.28406
| 14,423
| 370
| 150
| 38.981081
| 0.812512
| 0.130763
| 0
| 0.770677
| 0
| 0.007519
| 0.049265
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.067669
| false
| 0.007519
| 0.045113
| 0
| 0.135338
| 0.007519
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c7870094a711d2fa299ac0f77cc731fbd5c1b694
| 197
|
py
|
Python
|
baekjoon/Python/10869.py
|
Lumia1108/TIL
|
fe2e233d6d05c7d04f50f688f6c168e4d6d4ce46
|
[
"MIT"
] | null | null | null |
baekjoon/Python/10869.py
|
Lumia1108/TIL
|
fe2e233d6d05c7d04f50f688f6c168e4d6d4ce46
|
[
"MIT"
] | null | null | null |
baekjoon/Python/10869.py
|
Lumia1108/TIL
|
fe2e233d6d05c7d04f50f688f6c168e4d6d4ce46
|
[
"MIT"
] | null | null | null |
import math
a = input()
b = a.split(' ')
print(int(b[0]) + int(b[1]))
print(int(b[0]) - int(b[1]))
print(int(b[0]) * int(b[1]))
print(math.floor(int(b[0]) / int(b[1])))
print(int(b[0]) % int(b[1]))
| 24.625
| 40
| 0.543147
| 44
| 197
| 2.431818
| 0.25
| 0.373832
| 0.233645
| 0.373832
| 0.700935
| 0.700935
| 0.700935
| 0.700935
| 0.700935
| 0.700935
| 0
| 0.057471
| 0.116751
| 197
| 8
| 41
| 24.625
| 0.557471
| 0
| 0
| 0
| 0
| 0
| 0.005051
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0.625
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 10
|
1bf9777a57561ddd12b3cde763c8d9ae0dde47d5
| 610
|
py
|
Python
|
notebooks/solutions/12B_vectorizer_params.py
|
chofchof/scipy-2018-sklearn
|
c72bf8eafc8e8300b76fe203ae93f482b44043e2
|
[
"CC0-1.0"
] | 1
|
2019-04-25T04:40:55.000Z
|
2019-04-25T04:40:55.000Z
|
notebooks/solutions/12B_vectorizer_params.py
|
chofchof/scipy-2018-sklearn
|
c72bf8eafc8e8300b76fe203ae93f482b44043e2
|
[
"CC0-1.0"
] | null | null | null |
notebooks/solutions/12B_vectorizer_params.py
|
chofchof/scipy-2018-sklearn
|
c72bf8eafc8e8300b76fe203ae93f482b44043e2
|
[
"CC0-1.0"
] | null | null | null |
# CountVectorizer
vectorizer = CountVectorizer(min_df=10, ngram_range=(1, 3))
vectorizer.fit(text_train)
X_train = vectorizer.transform(text_train)
X_test = vectorizer.transform(text_test)
clf = LogisticRegression()
clf.fit(X_train, y_train)
visualize_coefficients(clf, vectorizer.get_feature_names())
# TfidfVectorizer
vectorizer = TfidfVectorizer(min_df=10, ngram_range=(1, 3))
vectorizer.fit(text_train)
X_train = vectorizer.transform(text_train)
X_test = vectorizer.transform(text_test)
clf = LogisticRegression()
clf.fit(X_train, y_train)
visualize_coefficients(clf, vectorizer.get_feature_names())
| 26.521739
| 59
| 0.809836
| 82
| 610
| 5.731707
| 0.292683
| 0.076596
| 0.085106
| 0.051064
| 0.829787
| 0.829787
| 0.829787
| 0.829787
| 0.829787
| 0.829787
| 0
| 0.014235
| 0.078689
| 610
| 23
| 60
| 26.521739
| 0.822064
| 0.05082
| 0
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4029fe91cd66923e59c0dc1e2af40e1832a1449e
| 7,404
|
py
|
Python
|
pic4rl/pic4rl/agents/trainer.py
|
PIC4SeRCentre/pic4rl
|
1a1a511042bf332c96750de084d9ac3a302efa12
|
[
"MIT"
] | 1
|
2021-01-08T10:40:47.000Z
|
2021-01-08T10:40:47.000Z
|
pic4rl/pic4rl/agents/trainer.py
|
PIC4SeRCentre/pic4rl
|
1a1a511042bf332c96750de084d9ac3a302efa12
|
[
"MIT"
] | null | null | null |
pic4rl/pic4rl/agents/trainer.py
|
PIC4SeRCentre/pic4rl
|
1a1a511042bf332c96750de084d9ac3a302efa12
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
import os
from gazebo_msgs.srv import DeleteEntity
from gazebo_msgs.srv import SpawnEntity
from geometry_msgs.msg import Pose
import rclpy
from rclpy.node import Node
from rclpy.qos import QoSProfile
from std_srvs.srv import Empty
from geometry_msgs.msg import Twist
import json
import numpy as np
import random
import sys
import time
import math
#from pic4rl.pic4rl_environment import Pic4rlEnvironment
from pic4rl.agents.ddpg_visual_agent import DDPGVisualAgent
class Pic4Trainer():
def __init__(self, agent, load_episode, episode_size, train_start, env):
super().__init__()
#self.env = Pic4rlEnvironment()
self.env = env()
self.Agent = agent
self.load_episode = load_episode
self.episode_size = episode_size
self.eval_episode = 20
self.train_start = train_start
self.train_score_list = []
self.eval_score_list = []
#self.results_path = '/home/mauromartini/mauro_ws/scores/lidar/last'
self.results_path = '/home/results'
def process(self):
print("[Trainer.py] process")
global_step = 0
for episode in range(self.load_episode+1, self.episode_size):
global_step += 1
if global_step == self.train_start+1:
print('Start training models, global step:', global_step)
score = self.make_episode(episode, global_step)
print(
"Episode:", episode,
"score:", score,
"memory length:", self.Agent.memory.mem_len,
"epsilon:", self.Agent.epsilon)
#"avg Hz:", 1/self.avg_cmd_vel[0])
param_keys = ['epsilon']
param_values = [self.Agent.epsilon]
param_dictionary = dict(zip(param_keys, param_values))
self.train_score_list.append(score)
# Update result and save model every 20 episodes
if episode > 600 and episode % 20 == 0:
self.save_score(episode)
self.Agent.save_model(episode, param_dictionary)
# Epsilon (exploration policy)
if self.Agent.epsilon > self.Agent.epsilon_min:
self.Agent.epsilon *= self.Agent.epsilon_decay
if episode % self.eval_episode == 0:
score = self.make_episode(episode, training = False)
print("Evaluation episode | Reward ", score)
self.eval_score_list.append(score)
def make_episode(self, episode, global_step = None, training = True):
local_step = 0
done = False
score = 0
# Reset environment
state = self.env.reset(episode)
while not done:
local_step += 1
#print('[trainer][make_episode] new local step at time: ', time.time())
# Action based on the current state
if local_step == 1:
action = np.array([0.0, 0.0], dtype = np.float32)
else:
state = next_state
action = self.Agent.get_action(state)
#print('[trainer][make_episode] action taken')
if np.any(np.isnan(action)):
print("Action:", action)
action = np.array([0.0, 0.0], dtype = np.float32)
#print("Action:", action)
#print("Action size:", action.shape)
next_state, reward, done, info = self.env.step(action)
# Save <s, a, r, s'> samples
if local_step > 1 and training:
self.Agent.remember(state, action, next_state, reward, done)
if global_step > self.train_start:
time_check = time.time()
self.Agent.train()
print('Total time for training:', time.time() - time_check)
# UPDATE TARGET NETWORKS
time_check= time.time()
self.Agent.update_target_model_soft()
print('time for target model update:', time.time()-time_check)
score += reward
return score
def save_score(self, episode):
with open(os.path.join(self.results_path,'train_score_episode'+str(episode)+'.json'), 'w') as outfile:
json.dump(self.train_score_list, outfile)
with open(os.path.join(self.results_path,'eval_score_episode'+str(episode)+'.json'), 'w') as outfile:
json.dump(self.eval_score_list, outfile)
def evalutate_Hz(self, init = False):
if init:
elf.start = time.time()
else:
end = time.time()
delta = end - self.start
if delta<=3:
self.avg_cmd_vel[1]+=1
self.avg_cmd_vel[0] = (self.avg_cmd_vel[0]*(self.avg_cmd_vel[1]-1)\
+ delta)\
/self.avg_cmd_vel[1]
self.start = end
class Pic4VisualTrainer():
def __init__(self, agent, load_episode, episode_size, train_start, env):
self.env = env()
self.Agent = agent
self.load_episode = load_episode
self.episode_size = episode_size
self.train_start = train_start
self.eval_episode = 20
self.train_score_list = []
self.eval_score_list = []
self.results_path = '/home/mauromartini/mauro_ws/scores/camera/rosbot/last'
def process(self):
global_step = 0
for episode in range(self.load_episode+1, self.episode_size):
global_step += 1
if global_step == self.train_start+1:
print('Start training models, global step:', global_step)
score = self.make_episode(episode, global_step)
print(
"Episode:", episode,
"score:", score,
"memory length:", self.Agent.memory.mem_len,
"epsilon:", self.Agent.epsilon)
#"avg Hz:", 1/self.avg_cmd_vel[0])
param_keys = ['epsilon']
param_values = [self.Agent.epsilon]
param_dictionary = dict(zip(param_keys, param_values))
self.train_score_list.append(score)
if episode % self.eval_episode == 0:
score = self.make_episode(episode, training = False)
print("Evaluation episode | Reward ", score)
self.eval_score_list.append(score)
# Update result and save model every 20 episodes
if episode > 600 and episode % 20 == 0:
self.save_score(episode)
self.Agent.save_model(episode, param_dictionary)
# Epsilon (exploration policy)
if self.Agent.epsilon > self.Agent.epsilon_min:
self.Agent.epsilon *= self.Agent.epsilon_decay
def make_episode(self, episode, global_step = None, training = True):
local_step = 0
done = False
score = 0
# Reset environment
state = self.env.reset(episode)
goal = state[0]
depth_image = state[1]
#print('goal info', goal)
#print('depth image', depth_image)
while not done:
local_step += 1
#print('new local step at time: ', time.time())
# Action based on the current state
if local_step == 1:
action = np.array([0.0, 0.0], dtype = np.float32)
else:
state = next_state
goal = state[0]
depth_image = state[1]
action = self.Agent.get_action(goal, depth_image)
if np.any(np.isnan(action)):
print("Action:", action)
action = np.array([0.0, 0.0], dtype = np.float32)
#print("Action:", action)
#print("Action size:", action.shape)
next_state, reward, done, info = self.env.step(action)
next_goal = next_state[0]
next_image = next_state[1]
# Save <s, a, r, s'> samples
if local_step > 1 and training:
self.Agent.remember(goal, depth_image, action, next_goal, next_image, reward, done)
if global_step > self.train_start:
#time_check = time.time()
self.Agent.train()
#print('Total time for training:', time.time() - time_check)
# UPDATE TARGET NETWORKS
#time_check= time.time()
self.Agent.update_target_model_soft()
#print('time for target model update:', time.time()-time_check)
score += reward
return score
def save_score(self, episode):
with open(os.path.join(self.results_path,'train_score_episode'+str(episode)+'.json'), 'w') as outfile:
json.dump(self.train_score_list, outfile)
with open(os.path.join(self.results_path,'eval_score_episode'+str(episode)+'.json'), 'w') as outfile:
json.dump(self.eval_score_list, outfile)
| 29.73494
| 104
| 0.692193
| 1,071
| 7,404
| 4.605976
| 0.153128
| 0.051085
| 0.038922
| 0.018447
| 0.83884
| 0.806811
| 0.788364
| 0.766876
| 0.766876
| 0.758565
| 0
| 0.014856
| 0.181794
| 7,404
| 248
| 105
| 29.854839
| 0.799439
| 0.148568
| 0
| 0.755952
| 0
| 0
| 0.073808
| 0.008449
| 0
| 0
| 0
| 0
| 0
| 1
| 0.053571
| false
| 0
| 0.095238
| 0
| 0.172619
| 0.065476
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
40381ad4933f4af180f966e2de58bd6ad269f6d9
| 5,523
|
py
|
Python
|
pants/targets/migrations/0001_initial.py
|
osagga/PriceAndNutritionTrackingSystem
|
6b654dcb6ad5902554471d98000a719f06ec03d9
|
[
"Apache-2.0"
] | 72
|
2019-01-29T13:22:34.000Z
|
2022-01-06T09:42:33.000Z
|
pants/targets/migrations/0001_initial.py
|
osagga/PriceAndNutritionTrackingSystem
|
6b654dcb6ad5902554471d98000a719f06ec03d9
|
[
"Apache-2.0"
] | 14
|
2019-05-10T19:59:26.000Z
|
2021-01-11T00:37:17.000Z
|
pants/targets/migrations/0001_initial.py
|
osagga/PriceAndNutritionTrackingSystem
|
6b654dcb6ad5902554471d98000a719f06ec03d9
|
[
"Apache-2.0"
] | 17
|
2020-03-03T21:24:09.000Z
|
2022-01-06T09:42:37.000Z
|
# Generated by Django 2.0.1 on 2018-08-16 12:24
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Maximums',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('kilojoules', models.DecimalField(blank=True, decimal_places=1, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('protein', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('fibre', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('carbohydrate', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('fat', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('sugar', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('saturatedfat', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('sodium', models.DecimalField(blank=True, decimal_places=0, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('cost', models.DecimalField(blank=True, decimal_places=2, max_digits=4, null=True, validators=[django.core.validators.MinValueValidator(0)])),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Minimums',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('kilojoules', models.DecimalField(blank=True, decimal_places=1, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('protein', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('fibre', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('carbohydrate', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('fat', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('sugar', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('saturatedfat', models.DecimalField(blank=True, decimal_places=3, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('sodium', models.DecimalField(blank=True, decimal_places=0, max_digits=6, null=True, validators=[django.core.validators.MinValueValidator(0)])),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('cost', models.DecimalField(blank=True, decimal_places=2, max_digits=4, null=True, validators=[django.core.validators.MinValueValidator(0)])),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Target',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(blank=True, max_length=100)),
('slug', models.CharField(blank=True, max_length=50, unique=True)),
('description', models.CharField(blank=True, max_length=250)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('daily_target', models.BooleanField(default=False, help_text='If set, will be used for daily target on diary/home page')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to=settings.AUTH_USER_MODEL)),
],
),
migrations.AddField(
model_name='minimums',
name='of_target',
field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='minimum', to='targets.Target'),
),
migrations.AddField(
model_name='maximums',
name='of_target',
field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='maximum', to='targets.Target'),
),
]
| 67.353659
| 167
| 0.65526
| 608
| 5,523
| 5.820724
| 0.179276
| 0.053405
| 0.107375
| 0.137327
| 0.830461
| 0.830461
| 0.802487
| 0.802487
| 0.802487
| 0.788923
| 0
| 0.017488
| 0.202788
| 5,523
| 81
| 168
| 68.185185
| 0.786282
| 0.008148
| 0
| 0.662162
| 1
| 0
| 0.074142
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.054054
| 0
| 0.108108
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 0
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| null | 0
| 0
| 0
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| 0
| 0
|
0
| 7
|
40408c76ea8a6c4657e27728b57b1f4d3963be68
| 6,545
|
py
|
Python
|
loldib/getratings/models/NA/na_thresh/na_thresh_bot.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_thresh/na_thresh_bot.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_thresh/na_thresh_bot.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from getratings.models.ratings import Ratings
class NA_Thresh_Bot_Aatrox(Ratings):
pass
class NA_Thresh_Bot_Ahri(Ratings):
pass
class NA_Thresh_Bot_Akali(Ratings):
pass
class NA_Thresh_Bot_Alistar(Ratings):
pass
class NA_Thresh_Bot_Amumu(Ratings):
pass
class NA_Thresh_Bot_Anivia(Ratings):
pass
class NA_Thresh_Bot_Annie(Ratings):
pass
class NA_Thresh_Bot_Ashe(Ratings):
pass
class NA_Thresh_Bot_AurelionSol(Ratings):
pass
class NA_Thresh_Bot_Azir(Ratings):
pass
class NA_Thresh_Bot_Bard(Ratings):
pass
class NA_Thresh_Bot_Blitzcrank(Ratings):
pass
class NA_Thresh_Bot_Brand(Ratings):
pass
class NA_Thresh_Bot_Braum(Ratings):
pass
class NA_Thresh_Bot_Caitlyn(Ratings):
pass
class NA_Thresh_Bot_Camille(Ratings):
pass
class NA_Thresh_Bot_Cassiopeia(Ratings):
pass
class NA_Thresh_Bot_Chogath(Ratings):
pass
class NA_Thresh_Bot_Corki(Ratings):
pass
class NA_Thresh_Bot_Darius(Ratings):
pass
class NA_Thresh_Bot_Diana(Ratings):
pass
class NA_Thresh_Bot_Draven(Ratings):
pass
class NA_Thresh_Bot_DrMundo(Ratings):
pass
class NA_Thresh_Bot_Ekko(Ratings):
pass
class NA_Thresh_Bot_Elise(Ratings):
pass
class NA_Thresh_Bot_Evelynn(Ratings):
pass
class NA_Thresh_Bot_Ezreal(Ratings):
pass
class NA_Thresh_Bot_Fiddlesticks(Ratings):
pass
class NA_Thresh_Bot_Fiora(Ratings):
pass
class NA_Thresh_Bot_Fizz(Ratings):
pass
class NA_Thresh_Bot_Galio(Ratings):
pass
class NA_Thresh_Bot_Gangplank(Ratings):
pass
class NA_Thresh_Bot_Garen(Ratings):
pass
class NA_Thresh_Bot_Gnar(Ratings):
pass
class NA_Thresh_Bot_Gragas(Ratings):
pass
class NA_Thresh_Bot_Graves(Ratings):
pass
class NA_Thresh_Bot_Hecarim(Ratings):
pass
class NA_Thresh_Bot_Heimerdinger(Ratings):
pass
class NA_Thresh_Bot_Illaoi(Ratings):
pass
class NA_Thresh_Bot_Irelia(Ratings):
pass
class NA_Thresh_Bot_Ivern(Ratings):
pass
class NA_Thresh_Bot_Janna(Ratings):
pass
class NA_Thresh_Bot_JarvanIV(Ratings):
pass
class NA_Thresh_Bot_Jax(Ratings):
pass
class NA_Thresh_Bot_Jayce(Ratings):
pass
class NA_Thresh_Bot_Jhin(Ratings):
pass
class NA_Thresh_Bot_Jinx(Ratings):
pass
class NA_Thresh_Bot_Kalista(Ratings):
pass
class NA_Thresh_Bot_Karma(Ratings):
pass
class NA_Thresh_Bot_Karthus(Ratings):
pass
class NA_Thresh_Bot_Kassadin(Ratings):
pass
class NA_Thresh_Bot_Katarina(Ratings):
pass
class NA_Thresh_Bot_Kayle(Ratings):
pass
class NA_Thresh_Bot_Kayn(Ratings):
pass
class NA_Thresh_Bot_Kennen(Ratings):
pass
class NA_Thresh_Bot_Khazix(Ratings):
pass
class NA_Thresh_Bot_Kindred(Ratings):
pass
class NA_Thresh_Bot_Kled(Ratings):
pass
class NA_Thresh_Bot_KogMaw(Ratings):
pass
class NA_Thresh_Bot_Leblanc(Ratings):
pass
class NA_Thresh_Bot_LeeSin(Ratings):
pass
class NA_Thresh_Bot_Leona(Ratings):
pass
class NA_Thresh_Bot_Lissandra(Ratings):
pass
class NA_Thresh_Bot_Lucian(Ratings):
pass
class NA_Thresh_Bot_Lulu(Ratings):
pass
class NA_Thresh_Bot_Lux(Ratings):
pass
class NA_Thresh_Bot_Malphite(Ratings):
pass
class NA_Thresh_Bot_Malzahar(Ratings):
pass
class NA_Thresh_Bot_Maokai(Ratings):
pass
class NA_Thresh_Bot_MasterYi(Ratings):
pass
class NA_Thresh_Bot_MissFortune(Ratings):
pass
class NA_Thresh_Bot_MonkeyKing(Ratings):
pass
class NA_Thresh_Bot_Mordekaiser(Ratings):
pass
class NA_Thresh_Bot_Morgana(Ratings):
pass
class NA_Thresh_Bot_Nami(Ratings):
pass
class NA_Thresh_Bot_Nasus(Ratings):
pass
class NA_Thresh_Bot_Nautilus(Ratings):
pass
class NA_Thresh_Bot_Nidalee(Ratings):
pass
class NA_Thresh_Bot_Nocturne(Ratings):
pass
class NA_Thresh_Bot_Nunu(Ratings):
pass
class NA_Thresh_Bot_Olaf(Ratings):
pass
class NA_Thresh_Bot_Orianna(Ratings):
pass
class NA_Thresh_Bot_Ornn(Ratings):
pass
class NA_Thresh_Bot_Pantheon(Ratings):
pass
class NA_Thresh_Bot_Poppy(Ratings):
pass
class NA_Thresh_Bot_Quinn(Ratings):
pass
class NA_Thresh_Bot_Rakan(Ratings):
pass
class NA_Thresh_Bot_Rammus(Ratings):
pass
class NA_Thresh_Bot_RekSai(Ratings):
pass
class NA_Thresh_Bot_Renekton(Ratings):
pass
class NA_Thresh_Bot_Rengar(Ratings):
pass
class NA_Thresh_Bot_Riven(Ratings):
pass
class NA_Thresh_Bot_Rumble(Ratings):
pass
class NA_Thresh_Bot_Ryze(Ratings):
pass
class NA_Thresh_Bot_Sejuani(Ratings):
pass
class NA_Thresh_Bot_Shaco(Ratings):
pass
class NA_Thresh_Bot_Shen(Ratings):
pass
class NA_Thresh_Bot_Shyvana(Ratings):
pass
class NA_Thresh_Bot_Singed(Ratings):
pass
class NA_Thresh_Bot_Sion(Ratings):
pass
class NA_Thresh_Bot_Sivir(Ratings):
pass
class NA_Thresh_Bot_Skarner(Ratings):
pass
class NA_Thresh_Bot_Sona(Ratings):
pass
class NA_Thresh_Bot_Soraka(Ratings):
pass
class NA_Thresh_Bot_Swain(Ratings):
pass
class NA_Thresh_Bot_Syndra(Ratings):
pass
class NA_Thresh_Bot_TahmKench(Ratings):
pass
class NA_Thresh_Bot_Taliyah(Ratings):
pass
class NA_Thresh_Bot_Talon(Ratings):
pass
class NA_Thresh_Bot_Taric(Ratings):
pass
class NA_Thresh_Bot_Teemo(Ratings):
pass
class NA_Thresh_Bot_Thresh(Ratings):
pass
class NA_Thresh_Bot_Tristana(Ratings):
pass
class NA_Thresh_Bot_Trundle(Ratings):
pass
class NA_Thresh_Bot_Tryndamere(Ratings):
pass
class NA_Thresh_Bot_TwistedFate(Ratings):
pass
class NA_Thresh_Bot_Twitch(Ratings):
pass
class NA_Thresh_Bot_Udyr(Ratings):
pass
class NA_Thresh_Bot_Urgot(Ratings):
pass
class NA_Thresh_Bot_Varus(Ratings):
pass
class NA_Thresh_Bot_Vayne(Ratings):
pass
class NA_Thresh_Bot_Veigar(Ratings):
pass
class NA_Thresh_Bot_Velkoz(Ratings):
pass
class NA_Thresh_Bot_Vi(Ratings):
pass
class NA_Thresh_Bot_Viktor(Ratings):
pass
class NA_Thresh_Bot_Vladimir(Ratings):
pass
class NA_Thresh_Bot_Volibear(Ratings):
pass
class NA_Thresh_Bot_Warwick(Ratings):
pass
class NA_Thresh_Bot_Xayah(Ratings):
pass
class NA_Thresh_Bot_Xerath(Ratings):
pass
class NA_Thresh_Bot_XinZhao(Ratings):
pass
class NA_Thresh_Bot_Yasuo(Ratings):
pass
class NA_Thresh_Bot_Yorick(Ratings):
pass
class NA_Thresh_Bot_Zac(Ratings):
pass
class NA_Thresh_Bot_Zed(Ratings):
pass
class NA_Thresh_Bot_Ziggs(Ratings):
pass
class NA_Thresh_Bot_Zilean(Ratings):
pass
class NA_Thresh_Bot_Zyra(Ratings):
pass
| 15.695444
| 46
| 0.766692
| 972
| 6,545
| 4.736626
| 0.151235
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| 0.803432
| 0.803432
| 0
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| 6,545
| 416
| 47
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| true
| 0.498195
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| 0
|
0
| 8
|
40b5944b20e2212d6acc93c65bd502eae4fc630d
| 9,644
|
py
|
Python
|
complex_auto/plotting.py
|
entn-at/cae-invar
|
9cdb09c6e62ad08e0c873b10c28565b50268a50f
|
[
"MIT"
] | 31
|
2019-07-16T13:29:11.000Z
|
2021-07-29T07:41:13.000Z
|
complex_auto/plotting.py
|
entn-at/cae-invar
|
9cdb09c6e62ad08e0c873b10c28565b50268a50f
|
[
"MIT"
] | 3
|
2019-11-11T15:59:32.000Z
|
2020-11-10T11:58:54.000Z
|
complex_auto/plotting.py
|
entn-at/cae-invar
|
9cdb09c6e62ad08e0c873b10c28565b50268a50f
|
[
"MIT"
] | 8
|
2019-07-19T09:29:53.000Z
|
2021-01-12T21:37:22.000Z
|
"""
Created on July 05, 2019
@author: Stefan Lattner
Sony CSL Paris, France
"""
import os
import math
import torch
import numpy as np
import matplotlib.pyplot as plt
from complex_auto.plot import plot_hist, make_tiles
from complex_auto.util import cuda_variable, to_numpy
def plot_train_state_2d(loss_curve_eval, loss_curve_train, model, x, y,
epoch, out_dir, length_ngram):
model.eval()
x = cuda_variable(x)
y = cuda_variable(y)
# calculate mapping of untransposed data
amp_x, phase_x = model(x)
amp_y, phase_y = model(y)
recon_y = model.backward(amp_x, phase_y)
recon_x = model.backward(amp_y, phase_x)
make_tiles(to_numpy(recon_y).reshape(recon_y.shape[0], 1, -1,
length_ngram),
os.path.join(out_dir, f"recon_y{epoch}.png"))
make_tiles(to_numpy(recon_x).reshape(recon_x.shape[0], 1, -1,
length_ngram),
os.path.join(out_dir, f"recon_x{epoch}.png"))
plot_hist(to_numpy(recon_x), f"recon_x_hist_ep{epoch}",
os.path.join(out_dir, f"recon_x_hist_ep{epoch}.png"))
plot_hist(to_numpy(recon_y), f"recon_y_hist_ep{epoch}",
os.path.join(out_dir, f"recon_y_hist_ep{epoch}.png"))
half_weight = model.layer.weight.shape[0] // 2
make_tiles(to_numpy(model.layer.weight[:half_weight]).reshape(len(
model.layer.weight[:half_weight]),
1, -1,
length_ngram),
os.path.join(out_dir, f"filters_x{epoch}.png"))
make_tiles(to_numpy(model.layer.weight[half_weight:]).reshape(len(
model.layer.weight[half_weight:]),
1, -1,
length_ngram),
os.path.join(out_dir, f"filters_y{epoch}.png"))
plot_hist(to_numpy(model.layer.weight[:half_weight]).reshape(len(
model.layer.weight[:half_weight]),
1, -1,
length_ngram),
f"filters_x_hist_ep{epoch}",
os.path.join(out_dir, f"filters_x_hist_ep{epoch}.png"))
plot_hist(to_numpy(model.layer.weight[half_weight:]).reshape(len(
model.layer.weight[half_weight:]),
1, -1,
length_ngram),
f"filters_y_hist_ep{epoch}",
os.path.join(out_dir, f"filters_y_hist_ep{epoch}.png"))
# make_tiles(to_numpy(model.layer.weight).reshape(len(
# model.layer.weight),
# 1, -1,
# length_ngram),
# os.path.join(out_dir, f"filters_x{epoch}.png"))
make_tiles(to_numpy(amp_x)[:, None, None, :], os.path.join(out_dir,
f"ampx_{epoch}.png"))
plot_hist(to_numpy(amp_x), f"ampx_hist_ep{epoch}",
os.path.join(out_dir, f"ampx_hist_ep{epoch}.png"))
make_tiles(to_numpy(amp_y)[:, None, None, :], os.path.join(out_dir,
f"ampy_{epoch}.png"))
plot_hist(to_numpy(amp_y), f"ampy_hist_ep{epoch}",
os.path.join(out_dir, f"ampy_hist_ep{epoch}.png"))
make_tiles(to_numpy(phase_x)[:, None, None, :], os.path.join(out_dir,
f"phasex_{epoch}.png"))
plot_hist(to_numpy(phase_x), f"phasex_hist_ep{epoch}",
os.path.join(out_dir, f"phasex_hist_ep{epoch}.png"))
make_tiles(to_numpy(phase_y)[:, None, None, :], os.path.join(out_dir,
f"phasey_{epoch}.png"))
plot_hist(to_numpy(phase_y), f"phasey_hist_ep{epoch}",
os.path.join(out_dir, f"phasey_hist_ep{epoch}.png"))
plot_hist(to_numpy(x.data), f"input_hist_ep{epoch}",
os.path.join(out_dir, f"input_hist_ep{epoch}.png"))
plot_hist(to_numpy(y.data), f"target_hist_ep{epoch}",
os.path.join(out_dir, f"target_hist_ep{epoch}.png"))
input_np = to_numpy(x.data)
make_tiles(input_np.reshape(x.shape[0], 1, -1, length_ngram),
os.path.join(out_dir, f"input_{epoch}.png"))
target_np = to_numpy(y.data)
make_tiles(target_np.reshape(y.shape[0], 1, -1, length_ngram),
os.path.join(out_dir, f"target_{epoch}.png"))
plt.clf()
plt.plot(loss_curve_train)
plt.plot(loss_curve_eval)
plt.savefig(
os.path.join(out_dir, f"loss_curve_{epoch}.png"))
def plot_train_state_1d(loss_curve_eval, loss_curve_train, model, x, y,
epoch, out_dir, length_ngram):
model.eval()
x = cuda_variable(x)
y = cuda_variable(y)
# calculate mapping of untransposed data
amp_x, phase_x = model(x)
amp_y, phase_y = model(y)
recon_y = model.backward(amp_x, phase_y)
recon_x = model.backward(amp_y, phase_x)
plot_audiobatch(recon_y[:20, None, :].detach().cpu(),
os.path.join(out_dir, f"recon_y{epoch}.png"))
plot_audiobatch(recon_x[:20, None, :].detach().cpu(),
os.path.join(out_dir, f"recon_x{epoch}.png"))
plot_audiobatch(y[:20, None, :].detach().cpu(),
os.path.join(out_dir, f"input_y_sig{epoch}.png"))
plot_audiobatch(x[:20, None, :].detach().cpu(),
os.path.join(out_dir, f"input_x_sig{epoch}.png"))
plot_hist(to_numpy(recon_x), f"recon_x_hist_ep{epoch}",
os.path.join(out_dir, f"recon_x_hist_ep{epoch}.png"))
plot_hist(to_numpy(recon_y), f"recon_y_hist_ep{epoch}",
os.path.join(out_dir, f"recon_y_hist_ep{epoch}.png"))
make_tiles(to_numpy(model.layer.weight).reshape(len(
model.layer.weight),
1, -1,
length_ngram),
os.path.join(out_dir, f"filters_x{epoch}.png"))
make_tiles(to_numpy(model.layer.weight).reshape(len(
model.layer.weight),
1, -1,
length_ngram),
os.path.join(out_dir, f"filters_y{epoch}.png"))
plot_audiobatch(model.layer.weight[:20, None, :].detach().cpu(),
os.path.join(out_dir, f"filters_sig_real{epoch}.png"))
half = model.layer.weight.shape[0] // 2
plot_audiobatch(model.layer.weight[half:half+20, None, :].detach().cpu(),
os.path.join(out_dir, f"filters_sig_compl{epoch}.png"))
make_tiles(to_numpy(amp_x)[:, None, None, :], os.path.join(out_dir,
f"ampx_{epoch}.png"))
plot_hist(to_numpy(amp_x), f"ampx_hist_ep{epoch}",
os.path.join(out_dir, f"ampx_hist_ep{epoch}.png"))
make_tiles(to_numpy(amp_y)[:, None, None, :], os.path.join(out_dir,
f"ampy_{epoch}.png"))
plot_hist(to_numpy(amp_y), f"ampy_hist_ep{epoch}",
os.path.join(out_dir, f"ampy_hist_ep{epoch}.png"))
make_tiles(to_numpy(phase_x)[:, None, None, :], os.path.join(out_dir,
f"phasex_{epoch}.png"))
plot_hist(to_numpy(phase_x), f"phasex_hist_ep{epoch}",
os.path.join(out_dir, f"phasex_hist_ep{epoch}.png"))
make_tiles(to_numpy(phase_y)[:, None, None, :], os.path.join(out_dir,
f"phasey_{epoch}.png"))
plot_hist(to_numpy(phase_y), f"phasey_hist_ep{epoch}",
os.path.join(out_dir, f"phasey_hist_ep{epoch}.png"))
plot_hist(to_numpy(x.data), f"input_hist_ep{epoch}",
os.path.join(out_dir, f"input_hist_ep{epoch}.png"))
plot_hist(to_numpy(y.data), f"target_hist_ep{epoch}",
os.path.join(out_dir, f"target_hist_ep{epoch}.png"))
input_np = to_numpy(x.data)
make_tiles(input_np.reshape(x.shape[0], 1, -1, length_ngram),
os.path.join(out_dir, f"input_{epoch}.png"))
target_np = to_numpy(y.data)
make_tiles(target_np.reshape(y.shape[0], 1, -1, length_ngram),
os.path.join(out_dir, f"target_{epoch}.png"))
plt.clf()
plt.plot(loss_curve_train)
plt.plot(loss_curve_eval)
plt.savefig(
os.path.join(out_dir, f"loss_curve_{epoch}.png"))
def plot_audiobatch(batch: torch.Tensor, fn, num_example: int=30,
verbose: bool=False):
# by Stephane Rivaud
plt.clf()
audio_list = [(audio.squeeze(), 22050) for audio in batch]
# determine the number of rows and columns
ncols = int(math.sqrt(len(audio_list)))
nrows = math.ceil(len(audio_list) / ncols)
# plotting files
fig, ax = plt.subplots(ncols=ncols, nrows=nrows, sharex=True, sharey=True)
for k in range(len(audio_list)):
audio, sr = audio_list[k]
i, j = k // ncols, k % ncols
x = torch.arange(audio.size(0), dtype=torch.float32) / sr
ax[i, j].plot(x.numpy(), audio.numpy(), linewidth=1)
#ax[i, j].set_xlabel('Time (s)')
#ax[i, j].set_ylabel('Amplitude')
#ax[i, j].set_title(f'Sample {k}')
#plt.show()
plt.savefig(fn)
#plt.savefig(fn+".pdf")
| 45.706161
| 86
| 0.549461
| 1,345
| 9,644
| 3.669145
| 0.10855
| 0.057143
| 0.091185
| 0.118541
| 0.821885
| 0.802432
| 0.789868
| 0.789868
| 0.789868
| 0.78845
| 0
| 0.010092
| 0.311593
| 9,644
| 210
| 87
| 45.92381
| 0.733243
| 0.053401
| 0
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| 0
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| 0.145964
| 0.093904
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| 0.01875
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| 0
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| null | 0
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|
0
| 7
|
40dceb7f2c4df839073f969fa66a6d2bb13aafed
| 5,222
|
py
|
Python
|
user/vistas/templates/organizaciones.py
|
ZerpaTechnology/occoa
|
a8c0bd2657bc058801a883109c0ec0d608d04ccc
|
[
"Apache-2.0"
] | null | null | null |
user/vistas/templates/organizaciones.py
|
ZerpaTechnology/occoa
|
a8c0bd2657bc058801a883109c0ec0d608d04ccc
|
[
"Apache-2.0"
] | null | null | null |
user/vistas/templates/organizaciones.py
|
ZerpaTechnology/occoa
|
a8c0bd2657bc058801a883109c0ec0d608d04ccc
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
# -*- coding: utf-8 -*-
doc+='''<!DOCTYPE html>
<html>
'''
data["titulo"]="Unexpo núcleo Charallave"
doc+='''
'''
incluir(data,"head")
doc+='''
<body class="sin-pad sin-marg">
<div class="container sin-pad">
<div class="row bg-ubuntu_jet marg-t5">
<div class="col-md-12 height-10 ohidden">
<img src="'''
try: doc+=str(data['base_url']+'static/imgs/portada.jpg')
except Exception, e: doc+=str(e)
doc+='''" class="width-100p top-100">
</div>
</div>
'''
incluir(data,"barra-buscador")
doc+='''
<div class="row bg-porcelain height-50">
<div class="col-md-4 height-5 pad-2">
<h1>CENUC</h1>
</div>
<div class="col-md-2 height-5">
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">MISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">VISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">SERVICIOS</div></a>
</div>
<div class="col-md-6 height-5 pad-1 bg-ubuntu_porcelain font-ubuntu">
<p>
CENUC es el centro estudiantil de nuestro núcleo
</p>
</div>
</div>
<hr>
<div class="row bg-porcelain height-50">
<div class="col-md-4 height-5 pad-2">
<h1>CIDGUN</h1>
</div>
<div class="col-md-2 height-5">
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">MISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">VISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">SERVICIOS</div></a>
</div>
<div class="col-md-6 height-5 pad-1 bg-ubuntu_porcelain font-ubuntu">
<p>
El Centro de Innovación y Desarrollo Gran Unexpo (C.I.D.G.UN por sus siglas) es una organización estudiantil conformada por un grupo de estudiantes de nuestro núcleo de challarave con el fin de garantizar la capacidad creación y ejecución de proyecto generados por nuestros estudiantes, de modo que la UNEXPO como casa de estudios de CIDGUN pueda mantener sus capacidades Cientifico-Tegnologicas y competir ante otras instituciones que desarrollen tecnologias en igualdad de condiciones.
</p>
<p>
¡Haciendo nuestro aporte para construir un país potencia!
</p>
</div>
</div>
<hr>
<div class="row bg-porcelain height-50">
<div class="col-md-4 height-5 pad-2">
<h1>MEGUN</h1>
</div>
<div class="col-md-2 height-5">
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">MISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">VISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">SERVICIOS</div></a>
</div>
<div class="col-md-6 height-5 pad-1 bg-ubuntu_porcelain font-ubuntu">
<p>
Organización politica del núcleo Charallave
</p>
</div>
</div>
<hr>
<div class="row bg-porcelain height-50">
<div class="col-md-4 height-5 pad-2">
<h1>CECHAR</h1>
</div>
<div class="col-md-2 height-5">
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">MISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">VISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">SERVICIOS</div></a>
</div>
<div class="col-md-6 height-5 pad-1 bg-ubuntu_porcelain font-ubuntu">
<p>
Organización Estudiantil encargada de organizar y entrenar a los estudiantes del nucleo para escurciones.
</p>
</div>
</div>
<hr>
<div class="row bg-porcelain height-50">
<div class="col-md-4 height-5 pad-2">
<h1>FUNEC</h1>
</div>
<div class="col-md-2 height-5">
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">MISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">VISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">SERVICIOS</div></a>
</div>
<div class="col-md-6 height-5 pad-1 bg-ubuntu_porcelain font-ubuntu">
<p>
Organización politica del núcleo Charallave
</p>
</div>
</div>
<hr>
<div class="row bg-porcelain height-50">
<div class="col-md-4 height-5 pad-2">
<h1>UNEXPO SOMOS TODOS</h1>
</div>
<div class="col-md-2 height-5">
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">MISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">VISIÓN</div></a>
<a href="" class="d-block marg-05 decoration-none"><div class="pad-1 bg-ubuntu_blue white decoration-none">SERVICIOS</div></a>
</div>
<div class="col-md-6 height-5 pad-1 bg-ubuntu_porcelain font-ubuntu">
<p>
Organización politica del núcleo Charallave
</p>
</div>
</div>
'''
incluir(data,"footer")
doc+='''
<div class="row">
</div>
</div>
'''
incluir(data,"header")
doc+='''
</body>
</html>'''
| 38.970149
| 489
| 0.702413
| 896
| 5,222
| 4.065848
| 0.169643
| 0.101016
| 0.039528
| 0.079056
| 0.723305
| 0.723305
| 0.723305
| 0.723305
| 0.723305
| 0.723305
| 0
| 0.029538
| 0.105324
| 5,222
| 134
| 490
| 38.970149
| 0.75
| 0.007277
| 0
| 0.784615
| 0
| 0.192308
| 0.956396
| 0.199884
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
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| 0
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| 0
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| 0
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| 0
| 1
| 0
| 0
| 1
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| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
40f8522c89aa246b3bfc27673608dd91c0d9d588
| 2,368
|
py
|
Python
|
examples/logic.py
|
imfd/nlglib
|
6479aef47f7a5bfecc1c581f0a67ba1714bdda68
|
[
"MIT"
] | 44
|
2016-02-09T23:44:42.000Z
|
2022-01-31T03:04:16.000Z
|
examples/logic.py
|
imfd/nlglib
|
6479aef47f7a5bfecc1c581f0a67ba1714bdda68
|
[
"MIT"
] | 8
|
2018-07-06T08:28:35.000Z
|
2019-12-10T18:52:01.000Z
|
examples/logic.py
|
imfd/nlglib
|
6479aef47f7a5bfecc1c581f0a67ba1714bdda68
|
[
"MIT"
] | 19
|
2018-05-18T14:48:43.000Z
|
2020-08-06T16:07:56.000Z
|
import logging
from nlglib.realisation.simplenlg.realisation import Realiser
from nlglib.lexicalisation import Lexicaliser
from nlglib.macroplanning import *
from nlglib.microplanning import *
from nlglib.features import TENSE
def run():
realise = Realiser(host='nlg.kutlak.info')
lex = Lexicaliser(templates={
'x': String('X'),
'arthur': Male('Arthur'),
'shrubbery': Clause(Var(0), VP('find', NP('a', 'shrubbery'), features=[TENSE.future])),
'knight': Clause(Var(0), VP('is', NP('a', 'knight'))),
'say_ni': Clause(Var(0), VP('say', Interjection('"Ni!"'))),
})
print(realise(lex(formula_to_rst(expr(r'x')))))
print(realise(lex(formula_to_rst(expr(r'-x')))))
print(realise(lex(formula_to_rst(expr(r'x = 5')))))
print(realise(lex(formula_to_rst(expr(r'x != 5')))))
print(realise(lex(formula_to_rst(expr(r'knight(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'-knight(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'-say_ni(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'shrubbery(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'-shrubbery(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'knight(arthur) & say_ni(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur) | knight(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur) -> knight(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'knight(arthur) <-> say_ni(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur) & -knight(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur) | -knight(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur) -> -knight(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'-knight(arthur) <-> say_ni(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'-knight(arthur) <-> -say_ni(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'-(knight(arthur) <-> say_ni(arthur))')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur) & knight(arthur) & shrubbery(arthur)')))))
print(realise(lex(formula_to_rst(expr(r'say_ni(arthur) | knight(arthur) | shrubbery(arthur)')))))
if __name__ == '__main__':
logging.basicConfig(level=logging.WARNING)
run()
| 45.538462
| 101
| 0.679476
| 343
| 2,368
| 4.495627
| 0.154519
| 0.171206
| 0.214008
| 0.313878
| 0.708171
| 0.708171
| 0.708171
| 0.708171
| 0.708171
| 0.708171
| 0
| 0.002382
| 0.113598
| 2,368
| 51
| 102
| 46.431373
| 0.732253
| 0
| 0
| 0
| 0
| 0
| 0.26478
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.025
| false
| 0
| 0.15
| 0
| 0.175
| 0.55
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
9087b486168a97f178a78dcfd276ce84c59eba4c
| 66
|
py
|
Python
|
todo_list/managers/__init__.py
|
Diorgeles/Sthima
|
d83b545d9a65a8f792fc8fe39a12ee1a4e5b85c4
|
[
"CC0-1.0"
] | null | null | null |
todo_list/managers/__init__.py
|
Diorgeles/Sthima
|
d83b545d9a65a8f792fc8fe39a12ee1a4e5b85c4
|
[
"CC0-1.0"
] | null | null | null |
todo_list/managers/__init__.py
|
Diorgeles/Sthima
|
d83b545d9a65a8f792fc8fe39a12ee1a4e5b85c4
|
[
"CC0-1.0"
] | null | null | null |
from todo_list.managers.item_list_manager import Item_list_manager
| 66
| 66
| 0.924242
| 11
| 66
| 5.090909
| 0.636364
| 0.285714
| 0.535714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 66
| 1
| 66
| 66
| 0.888889
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 1
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| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
90a7fb6cf80c0cd4a5c9f2dde9ab74704505e202
| 3,919
|
py
|
Python
|
dlkit/records/repository/basic/base_records.py
|
UOC/dlkit
|
a9d265db67e81b9e0f405457464e762e2c03f769
|
[
"MIT"
] | 2
|
2018-02-23T12:16:11.000Z
|
2020-10-08T17:54:24.000Z
|
dlkit/records/repository/basic/base_records.py
|
UOC/dlkit
|
a9d265db67e81b9e0f405457464e762e2c03f769
|
[
"MIT"
] | 87
|
2017-04-21T18:57:15.000Z
|
2021-12-13T19:43:57.000Z
|
dlkit/records/repository/basic/base_records.py
|
UOC/dlkit
|
a9d265db67e81b9e0f405457464e762e2c03f769
|
[
"MIT"
] | 1
|
2018-03-01T16:44:25.000Z
|
2018-03-01T16:44:25.000Z
|
from dlkit.json_.utilities import JSONClientValidated
from dlkit.json_.repository.objects import Asset, AssetList
from dlkit.primordium.id.primitives import Id
from dlkit.abstract_osid.osid.errors import IllegalState
from bson.objectid import ObjectId
from ...osid.base_records import ProvenanceRecord
class ProvenanceAssetRecord(ProvenanceRecord):
def get_provenance_parent(self):
if self.has_provenance():
collection = JSONClientValidated('repository',
collection='Asset',
runtime=self.my_osid_object._runtime)
result = collection.find_one({'_id': ObjectId(Id(self.get_provenance_id()).get_identifier())})
return Asset(osid_object_map=result,
runtime=self.my_osid_object._runtime,
proxy=self.my_osid_object._proxy)
raise IllegalState("Asset has no provenance parent.")
def has_provenance_children(self):
collection = JSONClientValidated('repository',
collection='Asset',
runtime=self.my_osid_object._runtime)
if collection.find({'provenanceId': self.my_osid_object.object_map['id']}).count() > 0:
return True
else:
return False
def get_provenance_children(self):
if self.has_provenance_children():
collection = JSONClientValidated('repository',
collection='Asset',
runtime=self.my_osid_object._runtime)
result = collection.find({'provenanceId': self.my_osid_object.object_map['id']})
return AssetList(result,
runtime=self.my_osid_object._runtime,
proxy=self.my_osid_object._proxy)
raise IllegalState('No provenance children.')
provenance_children = property(fget=get_provenance_children)
provenance_parent = property(fget=get_provenance_parent)
class ProvenanceCompositionRecord(ProvenanceRecord):
def get_provenance_parent(self):
if self.has_provenance():
collection = JSONClientValidated('repository',
collection='Composition',
runtime=self.my_osid_object._runtime)
result = collection.find_one({'_id': ObjectId(Id(self.get_provenance_id()).get_identifier())})
return Asset(osid_object_map=result,
runtime=self.my_osid_object._runtime,
proxy=self.my_osid_object._proxy)
raise IllegalState("Composition has no provenance parent.")
def has_provenance_children(self):
collection = JSONClientValidated('repository',
collection='Composition',
runtime=self.my_osid_object._runtime)
if collection.find({'provenanceId': self.my_osid_object.object_map['id']}).count() > 0:
return True
else:
return False
def get_provenance_children(self):
if self.has_provenance_children():
collection = JSONClientValidated('repository',
collection='Composition',
runtime=self.my_osid_object._runtime)
result = collection.find({'provenanceId': self.my_osid_object.object_map['id']})
return AssetList(result,
runtime=self.my_osid_object._runtime,
proxy=self.my_osid_object._proxy)
raise IllegalState('No provenance children.')
provenance_children = property(fget=get_provenance_children)
provenance_parent = property(fget=get_provenance_parent)
| 47.792683
| 106
| 0.596581
| 362
| 3,919
| 6.176796
| 0.151934
| 0.089445
| 0.080501
| 0.128801
| 0.852415
| 0.852415
| 0.852415
| 0.852415
| 0.852415
| 0.852415
| 0
| 0.000752
| 0.321511
| 3,919
| 81
| 107
| 48.382716
| 0.840165
| 0
| 0
| 0.852941
| 0
| 0
| 0.072467
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.088235
| false
| 0
| 0.088235
| 0
| 0.382353
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
90ca5b2f284d7eed62f400b2479bad260a036533
| 81,203
|
py
|
Python
|
tests/bugs/core_4115_test.py
|
reevespaul/firebird-qa
|
98f16f425aa9ab8ee63b86172f959d63a2d76f21
|
[
"MIT"
] | null | null | null |
tests/bugs/core_4115_test.py
|
reevespaul/firebird-qa
|
98f16f425aa9ab8ee63b86172f959d63a2d76f21
|
[
"MIT"
] | null | null | null |
tests/bugs/core_4115_test.py
|
reevespaul/firebird-qa
|
98f16f425aa9ab8ee63b86172f959d63a2d76f21
|
[
"MIT"
] | null | null | null |
#coding:utf-8
#
# id: bugs.core_4115
# title: EXECUTE BLOCK execution cause server crash
# decription:
# Confirmed lost of connection (but *not* crash) on 2.5.2.26540.
# Last lines in trace:
# INSERT INTO PU_BTET(ID,PBIZ_ID,... )VALUES(1711941,1559865, ...);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,...
# (i.e. it occurs when performing EXECUTE BLOCK)
# STDERR contains:
# Statement failed, SQLSTATE = 08006
# Unable to complete network request to host "localhost".
# -Error reading data from the connection.
# No such problem on 2.5.7.27050
#
# 02-mar-2021. Re-implemented in order to have ability to run this test on Linux.
# Ttest creates table and fills it with non-ascii characters in init_script, using charset = UTF8.
# Then it generates .sql script for running it in separae ISQL process.
# This script makes connection to test DB using charset = WIN1250 and perform needed DML.
# Result will be redirected to .log which will be opened via codecs.open(...encoding='cp1250').
# Its content will be converted to UTF8 for showing in expected_stdout.
#
# Checked on:
# * Windows: 4.0.0.2377, 3.0.8.33420, 2.5.9.27152
# * Linux: 4.0.0.2377, 3.0.8.33415
#
# tracker_id: CORE-4115
# min_versions: ['2.5.7']
# versions: 2.5.7
# qmid: None
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 2.5.7
# resources: None
substitutions_1 = []
init_script_1 = """"""
db_1 = db_factory(charset='WIN1250', sql_dialect=1, init=init_script_1)
# test_script_1
#---
#
# import os
# import codecs
# import subprocess
# import time
#
# db_conn.close()
#
# #--------------------------------------------
#
# def flush_and_close( file_handle ):
# # https://docs.python.org/2/library/os.html#os.fsync
# # If you're starting with a Python file object f,
# # first do f.flush(), and
# # then do os.fsync(f.fileno()), to ensure that all internal buffers associated with f are written to disk.
# global os
#
# file_handle.flush()
# if file_handle.mode not in ('r', 'rb') and file_handle.name != os.devnull:
# # otherwise: "OSError: [Errno 9] Bad file descriptor"!
# os.fsync(file_handle.fileno())
# file_handle.close()
#
# #--------------------------------------------
#
# def cleanup( f_names_list ):
# global os
# for i in range(len( f_names_list )):
# if type(f_names_list[i]) == file:
# del_name = f_names_list[i].name
# elif type(f_names_list[i]) == str:
# del_name = f_names_list[i]
# else:
# print('Unrecognized type of element:', f_names_list[i], ' - can not be treated as file.')
# del_name = None
#
# if del_name and os.path.isfile( del_name ):
# os.remove( del_name )
#
# #--------------------------------------------
#
# # Code to be executed further in separate ISQL process:
# #############################
# sql_txt=''' set bail on;
# set names WIN1250;
# connect '%(dsn)s' user '%(user_name)s' password '%(user_password)s';
#
# create domain xadoszam as varchar(20);
# create domain xarf10 as numeric(15, 10);
# create domain xarf10n as numeric(15, 10) not null;
# create domain xarfoly as numeric(15, 4);
# create domain xbinary as blob sub_type 0 segment size 80;
# create domain xblnev as varchar(15);
# create domain xcrcn as varchar(30) not null;
# create domain xcrdn as timestamp not null;
# create domain xcrsn as varchar(30) not null;
# create domain xcrun as varchar(30) not null;
# create domain xdat as timestamp;
# create domain xdatum as timestamp;
# create domain xdatumn as timestamp not null;
# create domain xdnem as varchar(3);
# create domain xegysn as numeric(15, 4) not null;
# create domain xert as numeric(15, 2);
# create domain xert10 as numeric(15, 10);
# create domain xert4 as numeric(15, 4);
# create domain xert4n as numeric(15, 4) not null;
# create domain xert6 as numeric(15, 6);
# create domain xertdev as numeric(15, 4);
# create domain xertdevn as numeric(15, 4) not null;
# create domain xertgy as numeric(15, 2);
# create domain xertn as numeric(15, 2) not null;
# create domain xfloat52 as numeric(5, 2);
# create domain xid as integer;
# create domain xidn as integer not null;
# create domain xiktn as integer not null;
# create domain ximage as blob sub_type 0 segment size 80;
# create domain xinfo as varchar(1000);
# create domain xinfo2 as varchar(2000);
# create domain xint as integer;
# create domain xintn as integer not null;
# create domain xkarfoly as numeric(15, 6);
# create domain xkod as varchar(12);
# create domain xkodn as varchar(12) not null;
# create domain xlmc as varchar(30);
# create domain xlmd as timestamp;
# create domain xlms as varchar(30);
# create domain xlmu as varchar(30);
# create domain xmegj1 as blob sub_type text segment size 80;
# create domain xmegyseg as varchar(6);
# create domain xmenny as numeric(15, 3);
# create domain xmennyn as numeric(15, 3) not null;
# create domain xmeny as numeric(9, 3);
# create domain xnyelv as varchar(2);
# create domain xpfjsz as varchar(34);
# create domain xpidn as integer not null;
# create domain xpoz as integer;
# create domain xreport as blob sub_type text segment size 80;
# create domain xszamlamaszk as varchar(50);
# create domain xszazalek as numeric(6, 2);
# create domain xszazalekn as numeric(6, 2) not null;
# create domain xszla as varchar(9);
# create domain xszlan as varchar(9) not null;
# create domain xszoveg as blob sub_type text segment size 80;
# create domain xszovegn as blob sub_type text segment size 80 not null;
# create domain xtblnev as varchar(15);
# create domain xthnev as varchar(100);
# create domain xthnevn as varchar(100) not null;
# create domain xtimestamp as timestamp;
# create domain xtimestampn as timestamp not null;
# create domain xtort as numeric(15, 4);
# create domain xtortn as numeric(15, 4) not null;
# create domain xtrnevn as varchar(20) not null;
# create domain xvar1 as varchar(1);
# create domain xvar10 as varchar(10);
# create domain xvar100 as varchar(100);
# create domain xvar1000 as varchar(1000);
# create domain xvar10000 as varchar(10000);
# create domain xvar1000n as varchar(1000) not null;
# create domain xvar100n as varchar(100) not null;
# create domain xvar10n as varchar(10) not null;
# create domain xvar11 as varchar(11);
# create domain xvar12 as varchar(12);
# create domain xvar12n as varchar(12) not null;
# create domain xvar13 as varchar(13);
# create domain xvar13n as varchar(13) not null;
# create domain xvar14 as varchar(14);
# create domain xvar140 as varchar(140);
# create domain xvar14n as varchar(14) not null;
# create domain xvar16 as varchar(16);
# create domain xvar1n as varchar(1) not null;
# create domain xvar2 as varchar(2);
# create domain xvar20 as varchar(20);
# create domain xvar200 as varchar(200);
# create domain xvar200n as varchar(200) not null;
# create domain xvar20n as varchar(20) not null;
# create domain xvar24 as varchar(24);
# create domain xvar25 as varchar(25);
# create domain xvar25n as varchar(25) not null;
# create domain xvar2n as varchar(2) not null;
# create domain xvar3 as varchar(3);
# create domain xvar30 as varchar(30);
# create domain xvar300 as varchar(300);
# create domain xvar300n as varchar(300) not null;
# create domain xvar30n as varchar(30) not null;
# create domain xvar32 as varchar(32);
# create domain xvar32000 as varchar(32000);
# create domain xvar34 as varchar(34);
# create domain xvar3n as varchar(3) not null;
# create domain xvar4 as varchar(4);
# create domain xvar40 as varchar(40);
# create domain xvar40n as varchar(40) not null;
# create domain xvar4n as varchar(4) not null;
# create domain xvar5 as varchar(5);
# create domain xvar50 as varchar(50);
# create domain xvar500 as varchar(500);
# create domain xvar500n as varchar(500) not null;
# create domain xvar50n as varchar(50) not null;
# create domain xvar5n as varchar(5) not null;
# create domain xvar6 as varchar(6);
# create domain xvar60n as varchar(60) not null;
# create domain xvar63 as varchar(63);
# create domain xvar6n as varchar(6) not null;
# create domain xvar70 as varchar(70);
# create domain xvar70n as varchar(70) not null;
# create domain xvar7n as varchar(7) not null;
# create domain xvar8 as varchar(8);
# create domain xvar80 as varchar(80);
# create domain xvar80n as varchar(80) not null;
# create domain xvar8n as varchar(8) not null;
# create domain xvar9 as varchar(9);
# create domain xvert as varchar(8);
# commit work;
#
# create table pu_btet (id xidn,
# pbiz_id xidn,
# gysor xintn,
# tipus xvar1n,
# afa_kulcs xvar5,
# alap xertn,
# ado xertn,
# egys_ar xert4,
# dev_alap xert4,
# dev_ado xert4,
# devegys_ar xert4,
# db xmenny,
# szoveg xvar50,
# megjegyzes xmegj1,
# cru xcrun,
# crd xcrdn,
# lmu xlmu,
# lmd xlmd,
# termek_id xid,
# tjegyz_id xid,
# bto_id xid,
# mert_id xid,
# artip_kod xvar14,
# enged_id xid,
# gysor_tol xint,
# gysor_ig xint,
# afa_ossze xvar1,
# pbtetkapcs xvar5,
# kamozgnem_id xid,
# melleklet_db xint,
# sarzs xvar12,
# lejar xdatum,
# felszab xdatum,
# pu_afatipus_id xid,
# afa_alap xert,
# afa_ado xert,
# afa_akulcs xvar5,
# db2 xmenny,
# mert_id2 xid,
# mert_seged xvar1,
# jutalek xert,
# hull xvar1,
# kod1 xvar40,
# kod2 xvar40,
# kod3 xvar40,
# kod4 xvar40,
# kod5 xvar40,
# eloleg_biz_id xid,
# lista_ar xert4,
# egys_ar_diff xert4,
# pu_ar_id xid,
# akcio_szazalek xszazalek,
# akciozott_ar xert4,
# pu_mn_id xid,
# afa_szla xszla,
# afa_eszla xszla,
# afa_minosit1 xkod,
# afa_minosit2 xkod,
# bado xert,
# balap xert,
# bdev xvar3,
# barf xarf10,
# ef_alap xert,
# ef_ado xert,
# ef_egys_ar xert4,
# ef_dev_alap xert,
# ef_dev_ado xert,
# ef_dev_egys_ar xert4,
# ef_szazalek xert,
# malap xert,
# mado xert,
# mdev xdnem,
# marfdatum xdatum,
# idoszakszla_datum xvar50,
# tovabbszamla_ugyf_id xid,
# telj xdatum,
# telj_arfolyam xarf10,
# szarmhely xvar2,
# ktrk_kod xvar20,
# richtextmegj xszoveg,
# db_keszlet xmenny,
# mert_id_keszlet xid,
# auto_arfkul_eloleg_btet_id xid,
# szallitojegy_szam xvar20);
# set term ^ ;
#
# create trigger insertpu_btet for pu_btet inactive before insert position 0
# as begin
# new.cru = user;
# new.crd = 'now';
# end^
#
# create trigger updatepu_btet for pu_btet active before update position 0
# as begin
# new.lmu = user;
# new.lmd = 'now';
# end^
# set term ;^
# commit work;
#
# set term ^;
# execute block as
# begin
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712188,1560100,1,'N','15',59424,8914,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712187,1560099,1,'N','15',5467,820,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712186,1560098,1,'N','15',12991,1949,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712185,1560097,1,'N','15',30145,4522,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712184,1560096,1,'N','15',6455,968,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712183,1560095,1,'N','15',28020,4203,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712182,1560094,1,'N','15',4630,694,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712181,1560093,1,'N','15',36930,5540,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712180,1560092,1,'N','15',10734,1610,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712179,1560091,1,'N','15',3292,494,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712178,1560090,1,'N','15',27993,4199,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712177,1560089,1,'N','15',3195,479,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712176,1560088,1,'N','15',6520,978,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712175,1560087,1,'N','15',12399,1860,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712174,1560086,1,'N','15',17525,2629,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712173,1560085,1,'N','15',27000,4050,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712172,1560084,1,'N','15',28982,4347,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712171,1560083,1,'N','15',62384,9358,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712170,1560082,1,'N','15',29794,4469,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712169,1560081,1,'N','15',38982,5847,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712168,1560080,1,'N','15',32526,4879,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712167,1560079,1,'N','15',37630,5645,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712166,1560078,1,'N','15',3390,509,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712165,1560077,1,'N','15',75737,11361,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712164,1560076,1,'N','15',24257,3639,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712163,1560075,1,'N','15',44000,6600,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712162,1560074,1,'N','15',65663,9849,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712161,1560073,1,'N','15',33673,5051,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712160,1560072,1,'N','15',14943,2242,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712159,1560071,1,'N','15',4127,619,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712158,1560070,1,'N','15',35404,5311,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712157,1560069,1,'N','15',33337,5000,0,0,0,'2507-2511','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712156,1560068,1,'N','15',65810,9872,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712155,1560067,1,'N','25',84931,21233,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712154,1560066,1,'N','25',35486,8872,0,0,0,'656121,122','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712153,1560065,1,'N','25',46162,11541,0,0,0,'53479','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712152,1560064,1,'N','25',17183,4296,0,0,0,'700301,304','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712151,1560063,1,'N','25',38130,9532,0,0,0,'700117,700296','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712150,1560062,1,'N','25',48936,12234,0,0,0,'428','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712149,1560061,1,'N','25',38138,9534,0,0,0,'54431','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712148,1560060,1,'N','25',39791,9948,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712147,1560059,1,'N','25',92128,23032,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712146,1560058,1,'N','25',19069,4767,0,0,0,'429','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712145,1560057,1,'N','15',41340,6201,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712144,1560056,1,'N','15',76320,11448,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712143,1560055,1,'N','15',41460,6219,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712142,1560054,1,'N','25',20750,5188,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712141,1560053,1,'N','25',4152,1038,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712140,1560052,1,'N','25',240,60,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712139,1560051,1,'N','25',43223,10806,0,0,0,'53435','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712138,1560050,1,'N','25',9818,2455,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712137,1560049,1,'N','25',65693,16423,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712136,1560048,1,'N','25',36700,9175,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712135,1560047,1,'N','15',5534,830,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712134,1560046,1,'N','25',1550,388,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712133,1560045,1,'N','15',9036,1355,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712132,1560044,1,'N','25',12039,3010,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712131,1560043,1,'N','25',20280,5070,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712130,1560042,1,'N','15',124416,18662,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712129,1560041,1,'N','25',8420,2105,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712128,1560040,1,'N','25',78348,19587,0,0,0,'997915.602576','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712127,1560039,1,'N','25',7300,1825,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712126,1560038,1,'N','25',6393,1598,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712125,1560037,1,'N','25',8200,2050,0,0,0,'997916.602575','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712124,1560036,1,'N','25',46660,11665,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712123,1560035,1,'N','25',3228,807,0,0,0,'997917.602574','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712122,1560034,1,'N','15',303913,45587,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712121,1560033,1,'N','25',2032100,508025,0,0,0,'807851','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712120,1560032,1,'N','15',33571,5036,0,0,0,'61124-126','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712119,1560031,1,'N','25',40825,10206,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712118,1560030,1,'N','15',38106,5716,0,0,0,'128-130','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712117,1560029,1,'N','15',21545,3232,0,0,0,'2512','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712116,1560028,1,'N','25',30798,7700,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712115,1560027,2,'N','25',8588,2147,0,0,0,'28758','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712114,1560027,1,'N','15',20753,3113,0,0,0,'28758','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712113,1560026,2,'N','25',42716,10679,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712112,1560026,1,'N','15',31593,4739,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712111,1560025,1,'N','25',58080,14520,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712110,1560024,2,'N','25',11536,2884,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712109,1560024,1,'N','15',65790,9869,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712108,1560023,1,'N','25',42028,10507,0,0,0,'707335.708232','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712107,1560022,1,'N','15',216186,32428,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712106,1560021,1,'N','15',14112,2117,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712105,1560020,1,'N','15',26591,3989,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712104,1560019,1,'N','25',13980,3495,0,0,0,'708234','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712103,1560018,1,'N','25',172058,43015,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712102,1560017,1,'N','25',40842,10211,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712101,1560016,1,'N','25',248637,62159,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712100,1560015,2,'N','25',133760,33440,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712099,1560015,1,'N','15',527385,79108,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712098,1560014,1,'N','25',511560,127890,0,0,0,'3522','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712097,1560013,1,'N','15',7507,1126,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712096,1560012,1,'N','15',22440,3366,0,0,0,'28634','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712095,1560011,1,'N','25',29237,7309,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712094,1560010,1,'N','15',12647,1897,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712093,1560009,1,'N','15',52600,7890,0,0,0,'75098-99','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712092,1560008,1,'N','25',357092,89273,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712091,1560007,1,'N','15',44649,6697,0,0,0,'75094-5.75092','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712090,1560006,1,'N','15',22651,3398,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712089,1560005,1,'N','15',46998,7050,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712088,1560004,2,'N','25',98323,24581,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712087,1560004,1,'N','15',302600,45390,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712086,1560003,1,'N','15',95588,14338,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712085,1560002,1,'N','15',106649,15997,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712084,1560001,1,'N','15',290751,43613,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:13.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712083,1560000,1,'N','15',96480,14472,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712082,1559999,1,'N','15',54363,8155,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712081,1559998,1,'N','15',109602,16440,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712080,1559997,1,'N','25',986468,246617,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712079,1559996,1,'N','15',51440,7716,0,0,0,'15077,079','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712078,1559995,1,'N','15',61132,9170,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712077,1559994,1,'N','15',71938,10791,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712076,1559993,2,'N','25',357860,89465,0,0,0,'11916','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712075,1559993,1,'N','15',194888,29233,0,0,0,'11916','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712074,1559992,1,'N','15',70543,10581,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712073,1559991,1,'N','15',232673,34901,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712072,1559990,1,'N','15',67939,10191,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712071,1559989,1,'N','15',67430,10114,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712070,1559988,1,'N','15',257317,38597,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712069,1559987,1,'N','15',63028,9454,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712068,1559986,1,'N',' 5',52895,2645,0,0,0,'17559-560','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712067,1559985,1,'N','25',186876,46719,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712066,1559984,1,'N','15',49979,7497,0,0,0,'23025.28','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712065,1559983,1,'N','15',940004,141001,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712064,1559982,1,'N','15',36301,5445,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712063,1559981,1,'N','15',59507,8926,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712062,1559980,1,'N','15',107136,16070,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712061,1559979,1,'N','25',357696,89424,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712060,1559978,1,'N','15',15251,2288,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712059,1559977,2,'N','25',137352,34338,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712058,1559977,1,'N','15',29920,4488,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712057,1559976,1,'N','15',57186,8578,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712056,1559975,1,'N','25',176048,44012,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712055,1559974,1,'N','15',18968,2845,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712054,1559973,1,'N','15',53789,8068,0,0,0,'61318-320','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712053,1559972,1,'N','15',22820,3423,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712052,1559971,1,'N','15',35130,5270,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712051,1559970,1,'N','15',55930,8390,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712050,1559969,1,'N','15',338290,50743,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712049,1559968,1,'N','15',13678,2052,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712048,1559967,1,'N','15',159118,23868,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712047,1559966,1,'N','15',32627,4894,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712046,1559965,1,'N','15',12000,1800,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712045,1559964,1,'N','15',42680,6402,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712044,1559963,1,'N','15',22775,3416,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712043,1559962,1,'N','15',53105,7966,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712042,1559961,1,'N','25',32469,8117,0,0,0,'45618,620','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712041,1559960,1,'N','15',130094,19514,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712040,1559959,1,'N','15',14701,2205,0,0,0,'52361','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712039,1559958,1,'N','15',12912,1937,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712038,1559957,1,'N','NK',10662,0,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712037,1559956,1,'N','15',27643,4146,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712036,1559955,2,'N','NK',14216,0,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712035,1559955,1,'N','25',799,200,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712034,1559954,2,'N','NK',30517,0,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712033,1559954,1,'N','25',400,100,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712032,1559953,2,'N','NK',56586,0,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712031,1559953,1,'N','25',1199,300,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712030,1559952,1,'N','NK',10662,0,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712029,1559951,1,'N','NK',24427,0,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712028,1559950,1,'N','NK',45391,0,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712027,1559949,1,'N','15',81129,12169,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712026,1559948,1,'N','15',79560,11934,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712025,1559947,1,'N','15',14364,2155,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712024,1559946,1,'N','15',11522,1728,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712023,1559945,1,'N','15',28106,4216,0,0,0,'20546,549','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712022,1559944,1,'N','15',622689,93403,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712021,1559943,1,'N','15',58940,8841,0,0,0,'20540-41','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712020,1559942,1,'N','15',34094,5114,0,0,0,'20574-575','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712019,1559941,1,'N','15',31861,4779,0,0,0,'2518-22','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712018,1559940,1,'N','15',23012,3452,0,0,0,'2513-16','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712017,1559939,1,'N','25',40570,10142,0,0,0,'401922-926','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712016,1559938,1,'N','25',33346,8336,0,0,0,'401918-920','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712015,1559937,1,'N','15',91396,13709,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712014,1559936,1,'N','25',10790,2698,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712013,1559935,1,'N','25',108257,27064,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712012,1559934,1,'N','15',2270,341,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712011,1559933,2,'N','25',11076,2769,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712010,1559933,1,'N','15',21260,3189,0,0,0,'NINCS SZÖVEG','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712009,1559932,2,'N','25',7673,1918,0,0,0,'28755,784','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD)VALUES(1712008,1559932,1,'N','15',16161,2424,0,0,0,'28755,784','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000');
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712007,1559931,1,'N','NK',143734,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712006,1559930,1,'N','NK',663448,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712005,1559929,1,'N','NK',401818,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712004,1559928,1,'N','NK',87800,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712003,1559927,1,'N','NK',56250,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712002,1559926,1,'N','NK',307720,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712001,1559925,1,'N','NK',64338,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1712000,1559924,1,'N','NK',70564,0,0,0,0,'Bónuszba beszámitva D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711999,1559923,1,'N','NK',459,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711998,1559922,1,'N','NK',1080,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711997,1559921,1,'N','NK',1150,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711996,1559920,1,'N','NK',2800,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711995,1559919,1,'N','NK',6480,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711994,1559918,1,'N','NK',4670,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711993,1559917,1,'N','NK',800,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711992,1559916,1,'N','NK',15300,0,0,0,0,'Visszáru szla D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711991,1559915,1,'N','NK',523202,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711990,1559914,1,'N','NK',844886,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711989,1559913,1,'N','NK',646060,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711988,1559912,1,'N','NK',2197306,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711987,1559911,1,'N','NK',111715,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711986,1559910,1,'N','NK',6836,0,0,0,0,' D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711985,1559909,1,'N','NK',49479,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711984,1559908,1,'N','NK',337500,0,0,0,0,'Milek D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711983,1559907,1,'N','NK',110850,0,0,0,0,'Milek D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711982,1559906,1,'N','NK',130800,0,0,0,0,'Ergomat D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711981,1559905,1,'N','NK',82992,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711980,1559904,1,'N','NK',128144,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711979,1559903,1,'N','NK',37245,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711978,1559902,1,'N','NK',25374,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711977,1559901,1,'N','NK',132515,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711976,1559900,1,'N','NK',20250,0,0,0,0,'Elektro-top D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711975,1559899,1,'N','NK',37098,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711974,1559898,1,'N','NK',95067,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711973,1559897,1,'N','NK',99276,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711972,1559896,1,'N','NK',119538,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711971,1559895,1,'N','NK',124008,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711970,1559894,1,'N','NK',124356,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711969,1559893,1,'N','NK',221511,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711968,1559892,1,'N','NK',58665,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711967,1559891,1,'N','NK',37446,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711966,1559890,1,'N','NK',70422,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711965,1559889,1,'N','NK',157506,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711964,1559888,1,'N','NK',68310,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711963,1559887,1,'N','NK',87085,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711962,1559886,1,'N','NK',6698,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711961,1559885,1,'N','NK',6698,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711960,1559884,1,'N','NK',6698,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711959,1559883,1,'N','NK',6698,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711958,1559882,1,'N','NK',6698,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711957,1559881,1,'N','NK',6698,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711956,1559880,1,'N','NK',6120,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711955,1559879,1,'N','NK',78091,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711954,1559878,1,'N','NK',67735,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711953,1559877,1,'N','NK',67335,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711952,1559876,1,'N','NK',80344,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711951,1559875,1,'N','NK',1000484,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711950,1559874,1,'N','NK',87634,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711949,1559873,1,'N','NK',73417,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711948,1559872,1,'N','NK',110644,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711947,1559871,1,'N','NK',38715,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711946,1559870,1,'N','NK',185,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711945,1559869,1,'N','NK',498140,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711944,1559868,1,'N','NK',354749,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711943,1559867,1,'N','NK',123206,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711942,1559866,1,'N','NK',47458,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711941,1559865,1,'N','NK',52165,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# INSERT INTO PU_BTET(ID,PBIZ_ID,GYSOR,TIPUS,AFA_KULCS,ALAP,ADO,EGYS_AR,DEVEGYS_AR,DB,SZOVEG,CRU,CRD,LMU,LMD,PU_AFATIPUS_ID)VALUES(1711940,1559864,1,'N','NK',103244,0,0,0,0,'Számla kiegyenlitése D 193','SYSDBA','2005.10.07 07:38:12.000','SYSDBA','2007.06.15 08:47:42.000',1726469);
# end
# ^
# set term ;^
# commit;
#
# set list on;
# select count(*) from pu_btet;
# ''' % dict(globals(), **locals())
#
# f_run_sql = open( os.path.join(context['temp_directory'], 'tmp_4115_win1250.sql'), 'w' )
#
# # REMOVE INDENTATION IN .SQL to prevent limitation on length of single command (execute block).
# # Write into .sql file each line without leading and trailing spaces,
# # with decoding from utf8 to win1250:
# #####################################
# for i in sql_txt.split('\\n'):
# f_run_sql.write( ''.join( (i.strip().decode('utf8').encode('cp1250'), '\\n' ) ) )
#
# flush_and_close( f_run_sql )
#
# # result: file tmp_3489_win1250.sql is encoded in win1250
#
# f_run_log = open( os.path.splitext(f_run_sql.name)[0]+'.log', 'w')
# subprocess.call( [ context['isql_path'], '-q', '-i', f_run_sql.name ],
# stdout = f_run_log,
# stderr = subprocess.STDOUT
# )
# flush_and_close( f_run_log ) # result: output will be encoded in win1250
#
# with codecs.open(f_run_log.name, 'r', encoding='cp1250' ) as f:
# result_in_cp1250 = f.readlines()
#
# for i in result_in_cp1250:
# print( i.encode('utf8') )
#
# # cleanup:
# ###########
# cleanup( (f_run_sql, f_run_log) )
#
#
#---
#act_1 = python_act('db_1', test_script_1, substitutions=substitutions_1)
expected_stdout_1 = """
COUNT 249
"""
@pytest.mark.version('>=2.5.7')
@pytest.mark.xfail
def test_1(db_1):
pytest.fail("Test not IMPLEMENTED")
| 129.9248
| 305
| 0.682709
| 15,180
| 81,203
| 3.548946
| 0.099605
| 0.021347
| 0.018042
| 0.074546
| 0.763128
| 0.746422
| 0.737512
| 0.73109
| 0.728231
| 0.7276
| 0
| 0.237322
| 0.11853
| 81,203
| 624
| 306
| 130.133013
| 0.515326
| 0.979447
| 0
| 0
| 0
| 0
| 0.079218
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0
| 0.166667
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
90d78271299d3c4296a7c75f67ea38b7da5d63dd
| 3,972
|
py
|
Python
|
tests/test_OHLCV.py
|
nardew/talipp
|
9300aa8b632bcfe7b48ed63c06fb06793a4a5674
|
[
"MIT"
] | 54
|
2020-11-19T02:27:04.000Z
|
2022-02-22T06:31:05.000Z
|
tests/test_OHLCV.py
|
nardew/talipp
|
9300aa8b632bcfe7b48ed63c06fb06793a4a5674
|
[
"MIT"
] | 24
|
2020-11-01T17:56:28.000Z
|
2021-09-15T18:40:04.000Z
|
tests/test_OHLCV.py
|
nardew/talipp
|
9300aa8b632bcfe7b48ed63c06fb06793a4a5674
|
[
"MIT"
] | 14
|
2020-12-10T22:43:37.000Z
|
2022-01-15T22:23:42.000Z
|
import unittest
from datetime import datetime
from talipp.ohlcv import OHLCV, OHLCVFactory
class Test(unittest.TestCase):
def test_from_matrix_w_volume(self):
values = [
[1, 2, 3, 4, 5],
[6, 7, 8, 9, 0]
]
self.assertListEqual(OHLCVFactory.from_matrix(values),
[
OHLCV(1, 2, 3, 4, 5),
OHLCV(6, 7, 8, 9, 0),
])
def test_from_matrix_wo_volume(self):
values = [
[1, 2, 3, 4],
[6, 7, 8, 9]
]
self.assertListEqual(OHLCVFactory.from_matrix(values),
[
OHLCV(1, 2, 3, 4, None),
OHLCV(6, 7, 8, 9, None),
])
def test_from_matrix_w_time(self):
now = datetime.now()
values = [
[1, 2, 3, 4, 5, now],
[6, 7, 8, 9, 0, now]
]
self.assertListEqual(OHLCVFactory.from_matrix(values),
[
OHLCV(1, 2, 3, 4, 5, now),
OHLCV(6, 7, 8, 9, 0, now),
])
def test_from_matrix2_w_volume(self):
values = [
[1, 6],
[2, 7],
[3, 8],
[4, 9],
[5, 0]
]
self.assertListEqual(OHLCVFactory.from_matrix2(values),
[
OHLCV(1, 2, 3, 4, 5),
OHLCV(6, 7, 8, 9, 0),
])
def test_from_matrix2_wo_volume(self):
values = [
[1, 6],
[2, 7],
[3, 8],
[4, 9]
]
self.assertListEqual(OHLCVFactory.from_matrix2(values),
[
OHLCV(1, 2, 3, 4, None),
OHLCV(6, 7, 8, 9, None),
])
def test_from_matrix2_w_time(self):
now = datetime.now()
values = [
[1, 6],
[2, 7],
[3, 8],
[4, 9],
[5, 0],
[now, now]
]
self.assertListEqual(OHLCVFactory.from_matrix2(values),
[
OHLCV(1, 2, 3, 4, 5, now),
OHLCV(6, 7, 8, 9, 0, now),
])
def test_from_dict_w_volume(self):
values = {
'open': [1, 6],
'high': [2, 7],
'low': [3, 8],
'close': [4, 9],
'volume': [5, 0]
}
self.assertListEqual(OHLCVFactory.from_dict(values),
[
OHLCV(1, 2, 3, 4, 5),
OHLCV(6, 7, 8, 9, 0),
])
def test_from_dict_wo_volume(self):
values = {
'open': [1, 6],
'high': [2, 7],
'low': [3, 8],
'close': [4, 9]
}
self.assertListEqual(OHLCVFactory.from_dict(values),
[
OHLCV(1, 2, 3, 4, None),
OHLCV(6, 7, 8, 9, None),
])
def test_from_dict_w_time(self):
now = datetime.now()
values = {
'open': [1, 6],
'high': [2, 7],
'low': [3, 8],
'close': [4, 9],
'volume': [5, 0],
'time': [now, now]
}
self.assertListEqual(OHLCVFactory.from_dict(values),
[
OHLCV(1, 2, 3, 4, 5, now),
OHLCV(6, 7, 8, 9, 0, now),
])
if __name__ == '__main__':
unittest.main()
| 28.371429
| 63
| 0.33283
| 375
| 3,972
| 3.384
| 0.106667
| 0.018913
| 0.028369
| 0.037825
| 0.881009
| 0.835303
| 0.813239
| 0.763593
| 0.721828
| 0.721828
| 0
| 0.095974
| 0.543555
| 3,972
| 139
| 64
| 28.57554
| 0.603971
| 0
| 0
| 0.598291
| 0
| 0
| 0.018127
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 1
| 0.076923
| false
| 0
| 0.025641
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
291eca323cc7f38afc96e15377d0ab136cc79398
| 2,959
|
py
|
Python
|
url_marker.py
|
AlexEgiazarov/ChanGuard
|
2a98ff8e8b06d891d31fd5fea31cdb5520cf9e54
|
[
"MIT"
] | 1
|
2020-01-20T07:24:37.000Z
|
2020-01-20T07:24:37.000Z
|
url_marker.py
|
AlexEgiazarov/ChanGuard
|
2a98ff8e8b06d891d31fd5fea31cdb5520cf9e54
|
[
"MIT"
] | null | null | null |
url_marker.py
|
AlexEgiazarov/ChanGuard
|
2a98ff8e8b06d891d31fd5fea31cdb5520cf9e54
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
url matching regex
http://daringfireball.net/2010/07/improved_regex_for_matching_urls
"""
"""
The regex patterns in this gist are intended to match any URLs,
including "mailto:foo@example.com", "x-whatever://foo", etc. For a
pattern that attempts only to match web URLs (http, https), see:
https://gist.github.com/gruber/8891611
"""
ANY_URL_REGEX = r"""(?i)\b((?:[a-z][\w-]+:(?:/{1,3}|[a-z0-9%])|www\d{0,3}[.]|[a-z0-9.\-]+[.][a-z]{2,4}/)(?:[^\s()<>]+|\(([^\s()<>]+|(\([^\s()<>]+\)))*\))+(?:\(([^\s()<>]+|(\([^\s()<>]+\)))*\)|[^\s`!()\[\]{};:'".,<>?«»“”‘’]))"""
"""
The regex patterns in this gist are intended only to match web URLs -- http,
https, and naked domains like "example.com". For a pattern that attempts to
match all URLs, regardless of protocol, see: https://gist.github.com/gruber/249502
"""
WEB_URL_REGEX = r"""(?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|Ja|sk|sl|sm|sn|so|sr|ss|st|su|sv|sx|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|zw)/)(?:[^\s()<>{}\[\]]+|\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\))+(?:\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\)|[^\s`!()\[\]{};:'".,<>?«»“”‘’])|(?:(?<!@)[a-z0-9]+(?:[.\-][a-z0-9]+)*[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|Ja|sk|sl|sm|sn|so|sr|ss|st|su|sv|sx|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|zw)\b/?(?!@)))"""
"""
This regex pattern matches IP:PORT
"""
IP_REGEX = r"""[0-9]+(?:\.[0-9]+){3}:[0-9]+"""
| 105.678571
| 2,013
| 0.599527
| 732
| 2,959
| 2.416667
| 0.472678
| 0.015828
| 0.02035
| 0.022612
| 0.83437
| 0.788016
| 0.75749
| 0.721311
| 0.67948
| 0.673827
| 0
| 0.016445
| 0.034133
| 2,959
| 28
| 2,014
| 105.678571
| 0.60112
| 0.041906
| 0
| 0
| 0
| 0.666667
| 0.966087
| 0.966087
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
2924b36922b552cf61f39c4d0fddf489724e727f
| 3,084
|
py
|
Python
|
Classes/Extractors/LBP.py
|
lukkascost/MachineLearn
|
0c6228216d3c1e8b8f85b3e88b1306a7ff042e81
|
[
"MIT"
] | 5
|
2018-02-01T22:15:46.000Z
|
2021-05-12T13:34:22.000Z
|
Classes/Extractors/LBP.py
|
lukkascost/MachineLearn
|
0c6228216d3c1e8b8f85b3e88b1306a7ff042e81
|
[
"MIT"
] | null | null | null |
Classes/Extractors/LBP.py
|
lukkascost/MachineLearn
|
0c6228216d3c1e8b8f85b3e88b1306a7ff042e81
|
[
"MIT"
] | null | null | null |
import numpy as np
class Lbp8Bits:
""""""
def __init__(self, input_array):
self.input_array = input_array
self.att58 = [1, 2, 3, 4, 5, 7, 8, 9, 13, 15, 16, 17, 25, 29, 31, 32, 33, 49, 57, 61, 63, 64, 65,
97, 113, 121, 125, 127, 128, 129, 130, 132, 136, 144, 160, 192, 193, 194, 196, 200,
208, 224, 225, 226, 228, 232, 240, 241, 242, 244, 248, 249, 250, 252, 253, 254, 255, 256]
self.number_of_attributes = 257
self.histogram = np.zeros(self.number_of_attributes)
def calculate_attributes(self):
""""""
for i in range(1, self.input_array.shape[0] - 1):
for j in range(1, self.input_array.shape[1] - 1):
central = self.input_array[i, j]
p11 = int(self.input_array[i - 1, j - 1] < central)
p12 = int(self.input_array[i - 1, j] < central)
p13 = int(self.input_array[i - 1, j + 1] < central)
p21 = int(self.input_array[i, j - 1] < central)
p23 = int(self.input_array[i, j + 1] < central)
p31 = int(self.input_array[i + 1, j - 1] < central)
p32 = int(self.input_array[i + 1, j] < central)
p33 = int(self.input_array[i + 1, j + 1] < central)
output = p11 + p21 * 2 + p31 * 4 + p32 * 8 + p33 * 16 + p23 * 32 + p13 * 64 + p12 * 128
self.histogram[output] += 1
if not (output in self.att58):
self.histogram[-1] += 1
def set_attributes_values(self, lbp_att):
""""""
self.histogram = lbp_att
self.number_of_attributes = len(lbp_att)
def export_to_classifier(self, label):
""""""
returnable = np.full((self.number_of_attributes + 1), "", dtype=object)
returnable[:-1] = self.histogram
returnable[-1] = label
return returnable
class Lbp4Bits:
""""""
def __init__(self, input_array):
self.input_array = input_array
self.number_of_attributes = 16
self.histogram = np.zeros(self.number_of_attributes)
def calculate_attributes(self):
""""""
for i in range(1, self.input_array.shape[0] - 1):
for j in range(1, self.input_array.shape[1] - 1):
central = self.input_array[i, j]
p12 = int(self.input_array[i - 1, j] < central)
p21 = int(self.input_array[i, j - 1] < central)
p23 = int(self.input_array[i, j + 1] < central)
p32 = int(self.input_array[i + 1, j] < central)
output = p21 + p32 * 2 + p23 * 4 + p12 * 8
self.histogram[output] += 1
def set_attributes_values(self, lbp_att):
""""""
self.histogram = lbp_att
self.number_of_attributes = len(lbp_att)
def export_to_classifier(self, label):
""""""
returnable = np.full((self.number_of_attributes + 1), "", dtype=object)
returnable[:-1] = self.histogram
returnable[-1] = label
return returnable
| 41.12
| 111
| 0.534695
| 418
| 3,084
| 3.791866
| 0.267943
| 0.15142
| 0.194322
| 0.132492
| 0.75836
| 0.75836
| 0.75836
| 0.75836
| 0.75836
| 0.664353
| 0
| 0.122824
| 0.329442
| 3,084
| 74
| 112
| 41.675676
| 0.643617
| 0
| 0
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.017857
| 0
| 0.232143
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
292d5832c61a34bab385257377311a705f9b3d5b
| 3,267
|
py
|
Python
|
AdventOfCode2015/Day15/Day15.py
|
MattTitmas/AdventOfCode
|
36be4f6bf973f77ff93b08dc69c977bb11951f27
|
[
"MIT"
] | null | null | null |
AdventOfCode2015/Day15/Day15.py
|
MattTitmas/AdventOfCode
|
36be4f6bf973f77ff93b08dc69c977bb11951f27
|
[
"MIT"
] | null | null | null |
AdventOfCode2015/Day15/Day15.py
|
MattTitmas/AdventOfCode
|
36be4f6bf973f77ff93b08dc69c977bb11951f27
|
[
"MIT"
] | null | null | null |
def part1():
values = {i.split(":")[0] : {j.split(" ")[0] : int(j.split(" ")[1]) for j in i.split(": ")[1].split(", ")} for i in open("input.txt","r").read().split("\n")}
maxScore = 0
for sprinkles in range(0, 101):
for peanut in range(0, 100-sprinkles):
for frosting in range(0, 100-sprinkles-peanut):
if sprinkles + peanut + frosting <= 100:
sugar = 100 - (sprinkles + peanut + frosting)
totalCapacity = max(0, values['Sprinkles']['capacity'] * sprinkles + values['PeanutButter']['capacity'] * peanut + values['Frosting']['capacity'] * frosting + values['Sugar']['capacity'] * sugar)
totalDurability = max(0, values['Sprinkles']['durability'] * sprinkles + values['PeanutButter']['durability'] * peanut + values['Frosting']['durability'] * frosting + values['Sugar']['durability'] * sugar)
totalFlavour = max(0, values['Sprinkles']['flavor'] * sprinkles + values['PeanutButter']['flavor'] * peanut + values['Frosting']['flavor'] * frosting + values['Sugar']['flavor'] * sugar)
totalTexture = max(0, values['Sprinkles']['texture'] * sprinkles + values['PeanutButter']['texture'] * peanut + values['Frosting']['texture'] * frosting + values['Sugar']['texture'] * sugar)
score = totalCapacity * totalDurability * totalFlavour * totalTexture
maxScore = max(maxScore, score)
return maxScore
def part2():
values = {i.split(":")[0] : {j.split(" ")[0] : int(j.split(" ")[1]) for j in i.split(": ")[1].split(", ")} for i in open("input.txt","r").read().split("\n")}
maxScore = 0
for sprinkles in range(0, 101):
for peanut in range(0, 101):
for frosting in range(0, 101):
if sprinkles + peanut + frosting <= 100:
sugar = 100 - (sprinkles + peanut + frosting)
totalCapacity = max(0, values['Sprinkles']['capacity'] * sprinkles + values['PeanutButter']['capacity'] * peanut + values['Frosting']['capacity'] * frosting + values['Sugar']['capacity'] * sugar)
totalDurability = max(0, values['Sprinkles']['durability'] * sprinkles + values['PeanutButter']['durability'] * peanut + values['Frosting']['durability'] * frosting + values['Sugar']['durability'] * sugar)
totalFlavour = max(0, values['Sprinkles']['flavor'] * sprinkles + values['PeanutButter']['flavor'] * peanut + values['Frosting']['flavor'] * frosting + values['Sugar']['flavor'] * sugar)
totalTexture = max(0, values['Sprinkles']['texture'] * sprinkles + values['PeanutButter']['texture'] * peanut + values['Frosting']['texture'] * frosting + values['Sugar']['texture'] * sugar)
totalCalories = values['Sprinkles']['calories'] * sprinkles + values['PeanutButter']['calories'] * peanut + values['Frosting']['calories'] * frosting + values['Sugar']['calories'] * sugar
score = totalCapacity * totalDurability * totalFlavour * totalTexture
if totalCalories == 500:
maxScore = max(maxScore, score)
return maxScore
print(f"answer to part1: {part1()}")
print(f"answer to part2: {part2()}")
| 85.973684
| 225
| 0.587389
| 329
| 3,267
| 5.832827
| 0.139818
| 0.070349
| 0.126628
| 0.079208
| 0.88692
| 0.853048
| 0.751433
| 0.751433
| 0.751433
| 0.751433
| 0
| 0.02499
| 0.228344
| 3,267
| 37
| 226
| 88.297297
| 0.736216
| 0
| 0
| 0.705882
| 0
| 0
| 0.206981
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0
| 0
| 0
| 0.117647
| 0.058824
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
292e01843351db171535c44a3ff250022f7980c3
| 71,151
|
py
|
Python
|
sdk/python/pulumi_azure/compute/windows_virtual_machine_scale_set.py
|
adnang/pulumi-azure
|
32360d2f1e41e27d7fdd6522cb26d65e531f279f
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/compute/windows_virtual_machine_scale_set.py
|
adnang/pulumi-azure
|
32360d2f1e41e27d7fdd6522cb26d65e531f279f
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/compute/windows_virtual_machine_scale_set.py
|
adnang/pulumi-azure
|
32360d2f1e41e27d7fdd6522cb26d65e531f279f
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# 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 json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class WindowsVirtualMachineScaleSet(pulumi.CustomResource):
additional_capabilities: pulumi.Output[dict]
"""
A `additional_capabilities` block as defined below.
* `ultraSsdEnabled` (`bool`) - Should the capacity to enable Data Disks of the `UltraSSD_LRS` storage account type be supported on this Virtual Machine Scale Set? Defaults to `false`. Changing this forces a new resource to be created.
"""
additional_unattend_contents: pulumi.Output[list]
"""
One or more `additional_unattend_content` blocks as defined below.
* `content` (`str`) - The XML formatted content that is added to the unattend.xml file for the specified path and component. Changing this forces a new resource to be created.
* `setting` (`str`) - The name of the setting to which the content applies. Possible values are `AutoLogon` and `FirstLogonCommands`. Changing this forces a new resource to be created.
"""
admin_password: pulumi.Output[str]
"""
The Password which should be used for the local-administrator on this Virtual Machine. Changing this forces a new resource to be created.
"""
admin_username: pulumi.Output[str]
"""
The username of the local administrator on each Virtual Machine Scale Set instance. Changing this forces a new resource to be created.
"""
automatic_instance_repair: pulumi.Output[dict]
"""
A `automatic_instance_repair` block as defined below. To enable the automatic instance repair, this Virtual Machine Scale Set must have a valid `health_probe_id` or an [Application Health Extension](https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-health-extension).
* `enabled` (`bool`) - Should the automatic instance repair be enabled on this Virtual Machine Scale Set?
* `gracePeriod` (`str`) - Amount of time (in minutes, between 30 and 90, defaults to 30 minutes) for which automatic repairs will be delayed. The grace period starts right after the VM is found unhealthy. The time duration should be specified in ISO 8601 format.
"""
automatic_os_upgrade_policy: pulumi.Output[dict]
"""
A `automatic_os_upgrade_policy` block as defined below. This is Required and can only be specified when `upgrade_mode` is set to `Automatic`.
* `disableAutomaticRollback` (`bool`) - Should automatic rollbacks be disabled? Changing this forces a new resource to be created.
* `enableAutomaticOsUpgrade` (`bool`) - Should OS Upgrades automatically be applied to Scale Set instances in a rolling fashion when a newer version of the OS Image becomes available? Changing this forces a new resource to be created.
"""
boot_diagnostics: pulumi.Output[dict]
"""
A `boot_diagnostics` block as defined below.
* `storageAccountUri` (`str`) - The Primary/Secondary Endpoint for the Azure Storage Account which should be used to store Boot Diagnostics, including Console Output and Screenshots from the Hypervisor.
"""
computer_name_prefix: pulumi.Output[str]
"""
The prefix which should be used for the name of the Virtual Machines in this Scale Set. If unspecified this defaults to the value for the `name` field. If the value of the `name` field is not a valid `computer_name_prefix`, then you must specify `computer_name_prefix`.
"""
custom_data: pulumi.Output[str]
"""
The Base64-Encoded Custom Data which should be used for this Virtual Machine Scale Set.
"""
data_disks: pulumi.Output[list]
"""
One or more `data_disk` blocks as defined below.
* `caching` (`str`) - The type of Caching which should be used for this Data Disk. Possible values are `None`, `ReadOnly` and `ReadWrite`.
* `create_option` (`str`) - The create option which should be used for this Data Disk. Possible values are `Empty` and `FromImage`. Defaults to `Empty`. (`FromImage` should only be used if the source image includes data disks).
* `disk_encryption_set_id` (`str`) - The ID of the Disk Encryption Set which should be used to encrypt this Data Disk.
* `disk_size_gb` (`float`) - The size of the Data Disk which should be created.
* `lun` (`float`) - The Logical Unit Number of the Data Disk, which must be unique within the Virtual Machine.
* `storage_account_type` (`str`) - The Type of Storage Account which should back this Data Disk. Possible values include `Standard_LRS`, `StandardSSD_LRS`, `Premium_LRS` and `UltraSSD_LRS`.
* `write_accelerator_enabled` (`bool`) - Should Write Accelerator be enabled for this Data Disk? Defaults to `false`.
"""
do_not_run_extensions_on_overprovisioned_machines: pulumi.Output[bool]
"""
Should Virtual Machine Extensions be run on Overprovisioned Virtual Machines in the Scale Set? Defaults to `false`.
"""
enable_automatic_updates: pulumi.Output[bool]
"""
Are automatic updates enabled for this Virtual Machine? Defaults to `true`.
"""
eviction_policy: pulumi.Output[str]
"""
The Policy which should be used Virtual Machines are Evicted from the Scale Set. Changing this forces a new resource to be created.
"""
health_probe_id: pulumi.Output[str]
"""
The ID of a Load Balancer Probe which should be used to determine the health of an instance. Changing this forces a new resource to be created. This is Required and can only be specified when `upgrade_mode` is set to `Automatic` or `Rolling`.
"""
identity: pulumi.Output[dict]
"""
A `identity` block as defined below.
* `identityIds` (`list`) - A list of User Managed Identity ID's which should be assigned to the Windows Virtual Machine Scale Set.
* `principal_id` (`str`) - The ID of the System Managed Service Principal.
* `type` (`str`) - The type of Managed Identity which should be assigned to the Windows Virtual Machine Scale Set. Possible values are `SystemAssigned`, `UserAssigned` and `SystemAssigned, UserAssigned`.
"""
instances: pulumi.Output[float]
"""
The number of Virtual Machines in the Scale Set.
"""
license_type: pulumi.Output[str]
"""
Specifies the type of on-premise license (also known as [Azure Hybrid Use Benefit](https://docs.microsoft.com/azure/virtual-machines/virtual-machines-windows-hybrid-use-benefit-licensing)) which should be used for this Virtual Machine Scale Set. Possible values are `None`, `Windows_Client` and `Windows_Server`. Changing this forces a new resource to be created.
"""
location: pulumi.Output[str]
"""
The Azure location where the Windows Virtual Machine Scale Set should exist. Changing this forces a new resource to be created.
"""
max_bid_price: pulumi.Output[float]
"""
The maximum price you're willing to pay for each Virtual Machine in this Scale Set, in US Dollars; which must be greater than the current spot price. If this bid price falls below the current spot price the Virtual Machines in the Scale Set will be evicted using the `eviction_policy`. Defaults to `-1`, which means that each Virtual Machine in the Scale Set should not be evicted for price reasons.
"""
name: pulumi.Output[str]
"""
The name of the Windows Virtual Machine Scale Set. Changing this forces a new resource to be created.
"""
network_interfaces: pulumi.Output[list]
"""
One or more `network_interface` blocks as defined below.
* `dns_servers` (`list`) - A list of IP Addresses of DNS Servers which should be assigned to the Network Interface.
* `enable_accelerated_networking` (`bool`) - Does this Network Interface support Accelerated Networking? Defaults to `false`.
* `enable_ip_forwarding` (`bool`) - Does this Network Interface support IP Forwarding? Defaults to `false`.
* `ip_configurations` (`list`) - One or more `ip_configuration` blocks as defined above.
* `applicationGatewayBackendAddressPoolIds` (`list`) - A list of Backend Address Pools ID's from a Application Gateway which this Virtual Machine Scale Set should be connected to.
* `applicationSecurityGroupIds` (`list`) - A list of Application Security Group ID's which this Virtual Machine Scale Set should be connected to.
* `loadBalancerBackendAddressPoolIds` (`list`) - A list of Backend Address Pools ID's from a Load Balancer which this Virtual Machine Scale Set should be connected to.
* `loadBalancerInboundNatRulesIds` (`list`) - A list of NAT Rule ID's from a Load Balancer which this Virtual Machine Scale Set should be connected to.
* `name` (`str`) - The Name which should be used for this IP Configuration.
* `primary` (`bool`) - Is this the Primary IP Configuration for this Network Interface? Defaults to `false`.
* `public_ip_addresses` (`list`) - A `public_ip_address` block as defined below.
* `domain_name_label` (`str`) - The Prefix which should be used for the Domain Name Label for each Virtual Machine Instance. Azure concatenates the Domain Name Label and Virtual Machine Index to create a unique Domain Name Label for each Virtual Machine.
* `idle_timeout_in_minutes` (`float`) - The Idle Timeout in Minutes for the Public IP Address. Possible values are in the range `4` to `32`.
* `ipTags` (`list`) - One or more `ip_tag` blocks as defined above.
* `tag` (`str`) - The IP Tag associated with the Public IP, such as `SQL` or `Storage`.
* `type` (`str`) - The Type of IP Tag, such as `FirstPartyUsage`.
* `name` (`str`) - The Name of the Public IP Address Configuration.
* `public_ip_prefix_id` (`str`) - The ID of the Public IP Address Prefix from where Public IP Addresses should be allocated. Changing this forces a new resource to be created.
* `subnet_id` (`str`) - The ID of the Subnet which this IP Configuration should be connected to.
* `version` (`str`) - The Internet Protocol Version which should be used for this IP Configuration. Possible values are `IPv4` and `IPv6`. Defaults to `IPv4`.
* `name` (`str`) - The Name which should be used for this Network Interface. Changing this forces a new resource to be created.
* `network_security_group_id` (`str`) - The ID of a Network Security Group which should be assigned to this Network Interface.
* `primary` (`bool`) - Is this the Primary IP Configuration?
"""
os_disk: pulumi.Output[dict]
"""
An `os_disk` block as defined below.
* `caching` (`str`) - The Type of Caching which should be used for the Internal OS Disk. Possible values are `None`, `ReadOnly` and `ReadWrite`.
* `diffDiskSettings` (`dict`) - A `diff_disk_settings` block as defined above. Changing this forces a new resource to be created.
* `option` (`str`)
* `disk_encryption_set_id` (`str`) - The ID of the Disk Encryption Set which should be used to encrypt this OS Disk.
* `disk_size_gb` (`float`) - The Size of the Internal OS Disk in GB, if you wish to vary from the size used in the image this Virtual Machine Scale Set is sourced from.
* `storage_account_type` (`str`) - The Type of Storage Account which should back this the Internal OS Disk. Possible values include `Standard_LRS`, `StandardSSD_LRS` and `Premium_LRS`.
* `write_accelerator_enabled` (`bool`) - Should Write Accelerator be Enabled for this OS Disk? Defaults to `false`.
"""
overprovision: pulumi.Output[bool]
"""
Should Azure over-provision Virtual Machines in this Scale Set? This means that multiple Virtual Machines will be provisioned and Azure will keep the instances which become available first - which improves provisioning success rates and improves deployment time. You're not billed for these over-provisioned VM's and they don't count towards the Subscription Quota. Defaults to `false`.
"""
plan: pulumi.Output[dict]
priority: pulumi.Output[str]
"""
The Priority of this Virtual Machine Scale Set. Possible values are `Regular` and `Spot`. Defaults to `Regular`. Changing this value forces a new resource.
"""
provision_vm_agent: pulumi.Output[bool]
"""
Should the Azure VM Agent be provisioned on each Virtual Machine in the Scale Set? Defaults to `true`. Changing this value forces a new resource to be created.
"""
proximity_placement_group_id: pulumi.Output[str]
"""
The ID of the Proximity Placement Group in which the Virtual Machine Scale Set should be assigned to. Changing this forces a new resource to be created.
"""
resource_group_name: pulumi.Output[str]
"""
The name of the Resource Group in which the Windows Virtual Machine Scale Set should be exist. Changing this forces a new resource to be created.
"""
rolling_upgrade_policy: pulumi.Output[dict]
"""
A `rolling_upgrade_policy` block as defined below. This is Required and can only be specified when `upgrade_mode` is set to `Automatic` or `Rolling`.
* `maxBatchInstancePercent` (`float`) - The maximum percent of total virtual machine instances that will be upgraded simultaneously by the rolling upgrade in one batch. As this is a maximum, unhealthy instances in previous or future batches can cause the percentage of instances in a batch to decrease to ensure higher reliability. Changing this forces a new resource to be created.
* `maxUnhealthyInstancePercent` (`float`) - The maximum percentage of the total virtual machine instances in the scale set that can be simultaneously unhealthy, either as a result of being upgraded, or by being found in an unhealthy state by the virtual machine health checks before the rolling upgrade aborts. This constraint will be checked prior to starting any batch. Changing this forces a new resource to be created.
* `maxUnhealthyUpgradedInstancePercent` (`float`) - The maximum percentage of upgraded virtual machine instances that can be found to be in an unhealthy state. This check will happen after each batch is upgraded. If this percentage is ever exceeded, the rolling update aborts. Changing this forces a new resource to be created.
* `pauseTimeBetweenBatches` (`str`) - The wait time between completing the update for all virtual machines in one batch and starting the next batch. The time duration should be specified in ISO 8601 format. Changing this forces a new resource to be created.
"""
scale_in_policy: pulumi.Output[str]
"""
The scale-in policy rule that decides which virtual machines are chosen for removal when a Virtual Machine Scale Set is scaled in. Possible values for the scale-in policy rules are `Default`, `NewestVM` and `OldestVM`, defaults to `Default`. For more information about scale in policy, please [refer to this doc](https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-scale-in-policy).
"""
secrets: pulumi.Output[list]
"""
One or more `secret` blocks as defined below.
* `certificates` (`list`) - One or more `certificate` blocks as defined above.
* `store` (`str`) - The certificate store on the Virtual Machine where the certificate should be added.
* `url` (`str`) - The Secret URL of a Key Vault Certificate.
* `key_vault_id` (`str`) - The ID of the Key Vault from which all Secrets should be sourced.
"""
single_placement_group: pulumi.Output[bool]
"""
Should this Virtual Machine Scale Set be limited to a Single Placement Group, which means the number of instances will be capped at 100 Virtual Machines. Defaults to `true`.
"""
sku: pulumi.Output[str]
"""
The Virtual Machine SKU for the Scale Set, such as `Standard_F2`.
"""
source_image_id: pulumi.Output[str]
"""
The ID of an Image which each Virtual Machine in this Scale Set should be based on.
"""
source_image_reference: pulumi.Output[dict]
"""
A `source_image_reference` block as defined below.
* `offer` (`str`) - Specifies the offer of the image used to create the virtual machines.
* `publisher` (`str`) - Specifies the publisher of the image used to create the virtual machines.
* `sku` (`str`) - Specifies the SKU of the image used to create the virtual machines.
* `version` (`str`) - Specifies the version of the image used to create the virtual machines.
"""
tags: pulumi.Output[dict]
"""
A mapping of tags which should be assigned to this Virtual Machine Scale Set.
"""
terminate_notification: pulumi.Output[dict]
"""
A `terminate_notification` block as defined below.
* `enabled` (`bool`) - Should the terminate notification be enabled on this Virtual Machine Scale Set? Defaults to `false`.
* `timeout` (`str`) - Length of time (in minutes, between 5 and 15) a notification to be sent to the VM on the instance metadata server till the VM gets deleted. The time duration should be specified in ISO 8601 format.
"""
timezone: pulumi.Output[str]
"""
Specifies the time zone of the virtual machine, [the possible values are defined here](https://jackstromberg.com/2017/01/list-of-time-zones-consumed-by-azure/).
"""
unique_id: pulumi.Output[str]
"""
The Unique ID for this Windows Virtual Machine Scale Set.
"""
upgrade_mode: pulumi.Output[str]
"""
Specifies how Upgrades (e.g. changing the Image/SKU) should be performed to Virtual Machine Instances. Possible values are `Automatic`, `Manual` and `Rolling`. Defaults to `Manual`.
"""
winrm_listeners: pulumi.Output[list]
"""
One or more `winrm_listener` blocks as defined below.
* `certificateUrl` (`str`) - The Secret URL of a Key Vault Certificate, which must be specified when `protocol` is set to `Https`.
* `protocol` (`str`) - The Protocol of the WinRM Listener. Possible values are `Http` and `Https`.
"""
zone_balance: pulumi.Output[bool]
"""
Should the Virtual Machines in this Scale Set be strictly evenly distributed across Availability Zones? Defaults to `false`. Changing this forces a new resource to be created.
"""
zones: pulumi.Output[list]
"""
A list of Availability Zones in which the Virtual Machines in this Scale Set should be created in. Changing this forces a new resource to be created.
"""
def __init__(__self__, resource_name, opts=None, additional_capabilities=None, additional_unattend_contents=None, admin_password=None, admin_username=None, automatic_instance_repair=None, automatic_os_upgrade_policy=None, boot_diagnostics=None, computer_name_prefix=None, custom_data=None, data_disks=None, do_not_run_extensions_on_overprovisioned_machines=None, enable_automatic_updates=None, eviction_policy=None, health_probe_id=None, identity=None, instances=None, license_type=None, location=None, max_bid_price=None, name=None, network_interfaces=None, os_disk=None, overprovision=None, plan=None, priority=None, provision_vm_agent=None, proximity_placement_group_id=None, resource_group_name=None, rolling_upgrade_policy=None, scale_in_policy=None, secrets=None, single_placement_group=None, sku=None, source_image_id=None, source_image_reference=None, tags=None, terminate_notification=None, timezone=None, upgrade_mode=None, winrm_listeners=None, zone_balance=None, zones=None, __props__=None, __name__=None, __opts__=None):
"""
Manages a Windows Virtual Machine Scale Set.
## Disclaimers
> **Note** This provider will automatically update & reimage the nodes in the Scale Set (if Required) during an Update - this behaviour can be configured using the `features` configuration within the Provider configuration block.
> **Note:** This resource does not support Unmanaged Disks. If you need to use Unmanaged Disks you can continue to use the `compute.ScaleSet` resource instead
## Example Usage
```python
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_virtual_network = azure.network.VirtualNetwork("exampleVirtualNetwork",
resource_group_name=example_resource_group.name,
location=example_resource_group.location,
address_spaces=["10.0.0.0/16"])
internal = azure.network.Subnet("internal",
resource_group_name=example_resource_group.name,
virtual_network_name=example_virtual_network.name,
address_prefix="10.0.2.0/24")
example_windows_virtual_machine_scale_set = azure.compute.WindowsVirtualMachineScaleSet("exampleWindowsVirtualMachineScaleSet",
resource_group_name=example_resource_group.name,
location=example_resource_group.location,
sku="Standard_F2",
instances=1,
admin_password="P@55w0rd1234!",
admin_username="adminuser",
source_image_reference={
"publisher": "MicrosoftWindowsServer",
"offer": "WindowsServer",
"sku": "2016-Datacenter-Server-Core",
"version": "latest",
},
os_disk={
"storageAccountType": "Standard_LRS",
"caching": "ReadWrite",
},
network_interface=[{
"name": "example",
"primary": True,
"ip_configuration": [{
"name": "internal",
"primary": True,
"subnetId": internal.id,
}],
}])
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[dict] additional_capabilities: A `additional_capabilities` block as defined below.
:param pulumi.Input[list] additional_unattend_contents: One or more `additional_unattend_content` blocks as defined below.
:param pulumi.Input[str] admin_password: The Password which should be used for the local-administrator on this Virtual Machine. Changing this forces a new resource to be created.
:param pulumi.Input[str] admin_username: The username of the local administrator on each Virtual Machine Scale Set instance. Changing this forces a new resource to be created.
:param pulumi.Input[dict] automatic_instance_repair: A `automatic_instance_repair` block as defined below. To enable the automatic instance repair, this Virtual Machine Scale Set must have a valid `health_probe_id` or an [Application Health Extension](https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-health-extension).
:param pulumi.Input[dict] automatic_os_upgrade_policy: A `automatic_os_upgrade_policy` block as defined below. This is Required and can only be specified when `upgrade_mode` is set to `Automatic`.
:param pulumi.Input[dict] boot_diagnostics: A `boot_diagnostics` block as defined below.
:param pulumi.Input[str] computer_name_prefix: The prefix which should be used for the name of the Virtual Machines in this Scale Set. If unspecified this defaults to the value for the `name` field. If the value of the `name` field is not a valid `computer_name_prefix`, then you must specify `computer_name_prefix`.
:param pulumi.Input[str] custom_data: The Base64-Encoded Custom Data which should be used for this Virtual Machine Scale Set.
:param pulumi.Input[list] data_disks: One or more `data_disk` blocks as defined below.
:param pulumi.Input[bool] do_not_run_extensions_on_overprovisioned_machines: Should Virtual Machine Extensions be run on Overprovisioned Virtual Machines in the Scale Set? Defaults to `false`.
:param pulumi.Input[bool] enable_automatic_updates: Are automatic updates enabled for this Virtual Machine? Defaults to `true`.
:param pulumi.Input[str] eviction_policy: The Policy which should be used Virtual Machines are Evicted from the Scale Set. Changing this forces a new resource to be created.
:param pulumi.Input[str] health_probe_id: The ID of a Load Balancer Probe which should be used to determine the health of an instance. Changing this forces a new resource to be created. This is Required and can only be specified when `upgrade_mode` is set to `Automatic` or `Rolling`.
:param pulumi.Input[dict] identity: A `identity` block as defined below.
:param pulumi.Input[float] instances: The number of Virtual Machines in the Scale Set.
:param pulumi.Input[str] license_type: Specifies the type of on-premise license (also known as [Azure Hybrid Use Benefit](https://docs.microsoft.com/azure/virtual-machines/virtual-machines-windows-hybrid-use-benefit-licensing)) which should be used for this Virtual Machine Scale Set. Possible values are `None`, `Windows_Client` and `Windows_Server`. Changing this forces a new resource to be created.
:param pulumi.Input[str] location: The Azure location where the Windows Virtual Machine Scale Set should exist. Changing this forces a new resource to be created.
:param pulumi.Input[float] max_bid_price: The maximum price you're willing to pay for each Virtual Machine in this Scale Set, in US Dollars; which must be greater than the current spot price. If this bid price falls below the current spot price the Virtual Machines in the Scale Set will be evicted using the `eviction_policy`. Defaults to `-1`, which means that each Virtual Machine in the Scale Set should not be evicted for price reasons.
:param pulumi.Input[str] name: The name of the Windows Virtual Machine Scale Set. Changing this forces a new resource to be created.
:param pulumi.Input[list] network_interfaces: One or more `network_interface` blocks as defined below.
:param pulumi.Input[dict] os_disk: An `os_disk` block as defined below.
:param pulumi.Input[bool] overprovision: Should Azure over-provision Virtual Machines in this Scale Set? This means that multiple Virtual Machines will be provisioned and Azure will keep the instances which become available first - which improves provisioning success rates and improves deployment time. You're not billed for these over-provisioned VM's and they don't count towards the Subscription Quota. Defaults to `false`.
:param pulumi.Input[str] priority: The Priority of this Virtual Machine Scale Set. Possible values are `Regular` and `Spot`. Defaults to `Regular`. Changing this value forces a new resource.
:param pulumi.Input[bool] provision_vm_agent: Should the Azure VM Agent be provisioned on each Virtual Machine in the Scale Set? Defaults to `true`. Changing this value forces a new resource to be created.
:param pulumi.Input[str] proximity_placement_group_id: The ID of the Proximity Placement Group in which the Virtual Machine Scale Set should be assigned to. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the Windows Virtual Machine Scale Set should be exist. Changing this forces a new resource to be created.
:param pulumi.Input[dict] rolling_upgrade_policy: A `rolling_upgrade_policy` block as defined below. This is Required and can only be specified when `upgrade_mode` is set to `Automatic` or `Rolling`.
:param pulumi.Input[str] scale_in_policy: The scale-in policy rule that decides which virtual machines are chosen for removal when a Virtual Machine Scale Set is scaled in. Possible values for the scale-in policy rules are `Default`, `NewestVM` and `OldestVM`, defaults to `Default`. For more information about scale in policy, please [refer to this doc](https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-scale-in-policy).
:param pulumi.Input[list] secrets: One or more `secret` blocks as defined below.
:param pulumi.Input[bool] single_placement_group: Should this Virtual Machine Scale Set be limited to a Single Placement Group, which means the number of instances will be capped at 100 Virtual Machines. Defaults to `true`.
:param pulumi.Input[str] sku: The Virtual Machine SKU for the Scale Set, such as `Standard_F2`.
:param pulumi.Input[str] source_image_id: The ID of an Image which each Virtual Machine in this Scale Set should be based on.
:param pulumi.Input[dict] source_image_reference: A `source_image_reference` block as defined below.
:param pulumi.Input[dict] tags: A mapping of tags which should be assigned to this Virtual Machine Scale Set.
:param pulumi.Input[dict] terminate_notification: A `terminate_notification` block as defined below.
:param pulumi.Input[str] timezone: Specifies the time zone of the virtual machine, [the possible values are defined here](https://jackstromberg.com/2017/01/list-of-time-zones-consumed-by-azure/).
:param pulumi.Input[str] upgrade_mode: Specifies how Upgrades (e.g. changing the Image/SKU) should be performed to Virtual Machine Instances. Possible values are `Automatic`, `Manual` and `Rolling`. Defaults to `Manual`.
:param pulumi.Input[list] winrm_listeners: One or more `winrm_listener` blocks as defined below.
:param pulumi.Input[bool] zone_balance: Should the Virtual Machines in this Scale Set be strictly evenly distributed across Availability Zones? Defaults to `false`. Changing this forces a new resource to be created.
:param pulumi.Input[list] zones: A list of Availability Zones in which the Virtual Machines in this Scale Set should be created in. Changing this forces a new resource to be created.
The **additional_capabilities** object supports the following:
* `ultraSsdEnabled` (`pulumi.Input[bool]`) - Should the capacity to enable Data Disks of the `UltraSSD_LRS` storage account type be supported on this Virtual Machine Scale Set? Defaults to `false`. Changing this forces a new resource to be created.
The **additional_unattend_contents** object supports the following:
* `content` (`pulumi.Input[str]`) - The XML formatted content that is added to the unattend.xml file for the specified path and component. Changing this forces a new resource to be created.
* `setting` (`pulumi.Input[str]`) - The name of the setting to which the content applies. Possible values are `AutoLogon` and `FirstLogonCommands`. Changing this forces a new resource to be created.
The **automatic_instance_repair** object supports the following:
* `enabled` (`pulumi.Input[bool]`) - Should the automatic instance repair be enabled on this Virtual Machine Scale Set?
* `gracePeriod` (`pulumi.Input[str]`) - Amount of time (in minutes, between 30 and 90, defaults to 30 minutes) for which automatic repairs will be delayed. The grace period starts right after the VM is found unhealthy. The time duration should be specified in ISO 8601 format.
The **automatic_os_upgrade_policy** object supports the following:
* `disableAutomaticRollback` (`pulumi.Input[bool]`) - Should automatic rollbacks be disabled? Changing this forces a new resource to be created.
* `enableAutomaticOsUpgrade` (`pulumi.Input[bool]`) - Should OS Upgrades automatically be applied to Scale Set instances in a rolling fashion when a newer version of the OS Image becomes available? Changing this forces a new resource to be created.
The **boot_diagnostics** object supports the following:
* `storageAccountUri` (`pulumi.Input[str]`) - The Primary/Secondary Endpoint for the Azure Storage Account which should be used to store Boot Diagnostics, including Console Output and Screenshots from the Hypervisor.
The **data_disks** object supports the following:
* `caching` (`pulumi.Input[str]`) - The type of Caching which should be used for this Data Disk. Possible values are `None`, `ReadOnly` and `ReadWrite`.
* `create_option` (`pulumi.Input[str]`) - The create option which should be used for this Data Disk. Possible values are `Empty` and `FromImage`. Defaults to `Empty`. (`FromImage` should only be used if the source image includes data disks).
* `disk_encryption_set_id` (`pulumi.Input[str]`) - The ID of the Disk Encryption Set which should be used to encrypt this Data Disk.
* `disk_size_gb` (`pulumi.Input[float]`) - The size of the Data Disk which should be created.
* `lun` (`pulumi.Input[float]`) - The Logical Unit Number of the Data Disk, which must be unique within the Virtual Machine.
* `storage_account_type` (`pulumi.Input[str]`) - The Type of Storage Account which should back this Data Disk. Possible values include `Standard_LRS`, `StandardSSD_LRS`, `Premium_LRS` and `UltraSSD_LRS`.
* `write_accelerator_enabled` (`pulumi.Input[bool]`) - Should Write Accelerator be enabled for this Data Disk? Defaults to `false`.
The **identity** object supports the following:
* `identityIds` (`pulumi.Input[list]`) - A list of User Managed Identity ID's which should be assigned to the Windows Virtual Machine Scale Set.
* `principal_id` (`pulumi.Input[str]`) - The ID of the System Managed Service Principal.
* `type` (`pulumi.Input[str]`) - The type of Managed Identity which should be assigned to the Windows Virtual Machine Scale Set. Possible values are `SystemAssigned`, `UserAssigned` and `SystemAssigned, UserAssigned`.
The **network_interfaces** object supports the following:
* `dns_servers` (`pulumi.Input[list]`) - A list of IP Addresses of DNS Servers which should be assigned to the Network Interface.
* `enable_accelerated_networking` (`pulumi.Input[bool]`) - Does this Network Interface support Accelerated Networking? Defaults to `false`.
* `enable_ip_forwarding` (`pulumi.Input[bool]`) - Does this Network Interface support IP Forwarding? Defaults to `false`.
* `ip_configurations` (`pulumi.Input[list]`) - One or more `ip_configuration` blocks as defined above.
* `applicationGatewayBackendAddressPoolIds` (`pulumi.Input[list]`) - A list of Backend Address Pools ID's from a Application Gateway which this Virtual Machine Scale Set should be connected to.
* `applicationSecurityGroupIds` (`pulumi.Input[list]`) - A list of Application Security Group ID's which this Virtual Machine Scale Set should be connected to.
* `loadBalancerBackendAddressPoolIds` (`pulumi.Input[list]`) - A list of Backend Address Pools ID's from a Load Balancer which this Virtual Machine Scale Set should be connected to.
* `loadBalancerInboundNatRulesIds` (`pulumi.Input[list]`) - A list of NAT Rule ID's from a Load Balancer which this Virtual Machine Scale Set should be connected to.
* `name` (`pulumi.Input[str]`) - The Name which should be used for this IP Configuration.
* `primary` (`pulumi.Input[bool]`) - Is this the Primary IP Configuration for this Network Interface? Defaults to `false`.
* `public_ip_addresses` (`pulumi.Input[list]`) - A `public_ip_address` block as defined below.
* `domain_name_label` (`pulumi.Input[str]`) - The Prefix which should be used for the Domain Name Label for each Virtual Machine Instance. Azure concatenates the Domain Name Label and Virtual Machine Index to create a unique Domain Name Label for each Virtual Machine.
* `idle_timeout_in_minutes` (`pulumi.Input[float]`) - The Idle Timeout in Minutes for the Public IP Address. Possible values are in the range `4` to `32`.
* `ipTags` (`pulumi.Input[list]`) - One or more `ip_tag` blocks as defined above.
* `tag` (`pulumi.Input[str]`) - The IP Tag associated with the Public IP, such as `SQL` or `Storage`.
* `type` (`pulumi.Input[str]`) - The Type of IP Tag, such as `FirstPartyUsage`.
* `name` (`pulumi.Input[str]`) - The Name of the Public IP Address Configuration.
* `public_ip_prefix_id` (`pulumi.Input[str]`) - The ID of the Public IP Address Prefix from where Public IP Addresses should be allocated. Changing this forces a new resource to be created.
* `subnet_id` (`pulumi.Input[str]`) - The ID of the Subnet which this IP Configuration should be connected to.
* `version` (`pulumi.Input[str]`) - The Internet Protocol Version which should be used for this IP Configuration. Possible values are `IPv4` and `IPv6`. Defaults to `IPv4`.
* `name` (`pulumi.Input[str]`) - The Name which should be used for this Network Interface. Changing this forces a new resource to be created.
* `network_security_group_id` (`pulumi.Input[str]`) - The ID of a Network Security Group which should be assigned to this Network Interface.
* `primary` (`pulumi.Input[bool]`) - Is this the Primary IP Configuration?
The **os_disk** object supports the following:
* `caching` (`pulumi.Input[str]`) - The Type of Caching which should be used for the Internal OS Disk. Possible values are `None`, `ReadOnly` and `ReadWrite`.
* `diffDiskSettings` (`pulumi.Input[dict]`) - A `diff_disk_settings` block as defined above. Changing this forces a new resource to be created.
* `option` (`pulumi.Input[str]`)
* `disk_encryption_set_id` (`pulumi.Input[str]`) - The ID of the Disk Encryption Set which should be used to encrypt this OS Disk.
* `disk_size_gb` (`pulumi.Input[float]`) - The Size of the Internal OS Disk in GB, if you wish to vary from the size used in the image this Virtual Machine Scale Set is sourced from.
* `storage_account_type` (`pulumi.Input[str]`) - The Type of Storage Account which should back this the Internal OS Disk. Possible values include `Standard_LRS`, `StandardSSD_LRS` and `Premium_LRS`.
* `write_accelerator_enabled` (`pulumi.Input[bool]`) - Should Write Accelerator be Enabled for this OS Disk? Defaults to `false`.
The **plan** object supports the following:
* `name` (`pulumi.Input[str]`) - The name of the Windows Virtual Machine Scale Set. Changing this forces a new resource to be created.
* `product` (`pulumi.Input[str]`)
* `publisher` (`pulumi.Input[str]`) - Specifies the publisher of the image used to create the virtual machines.
The **rolling_upgrade_policy** object supports the following:
* `maxBatchInstancePercent` (`pulumi.Input[float]`) - The maximum percent of total virtual machine instances that will be upgraded simultaneously by the rolling upgrade in one batch. As this is a maximum, unhealthy instances in previous or future batches can cause the percentage of instances in a batch to decrease to ensure higher reliability. Changing this forces a new resource to be created.
* `maxUnhealthyInstancePercent` (`pulumi.Input[float]`) - The maximum percentage of the total virtual machine instances in the scale set that can be simultaneously unhealthy, either as a result of being upgraded, or by being found in an unhealthy state by the virtual machine health checks before the rolling upgrade aborts. This constraint will be checked prior to starting any batch. Changing this forces a new resource to be created.
* `maxUnhealthyUpgradedInstancePercent` (`pulumi.Input[float]`) - The maximum percentage of upgraded virtual machine instances that can be found to be in an unhealthy state. This check will happen after each batch is upgraded. If this percentage is ever exceeded, the rolling update aborts. Changing this forces a new resource to be created.
* `pauseTimeBetweenBatches` (`pulumi.Input[str]`) - The wait time between completing the update for all virtual machines in one batch and starting the next batch. The time duration should be specified in ISO 8601 format. Changing this forces a new resource to be created.
The **secrets** object supports the following:
* `certificates` (`pulumi.Input[list]`) - One or more `certificate` blocks as defined above.
* `store` (`pulumi.Input[str]`) - The certificate store on the Virtual Machine where the certificate should be added.
* `url` (`pulumi.Input[str]`) - The Secret URL of a Key Vault Certificate.
* `key_vault_id` (`pulumi.Input[str]`) - The ID of the Key Vault from which all Secrets should be sourced.
The **source_image_reference** object supports the following:
* `offer` (`pulumi.Input[str]`) - Specifies the offer of the image used to create the virtual machines.
* `publisher` (`pulumi.Input[str]`) - Specifies the publisher of the image used to create the virtual machines.
* `sku` (`pulumi.Input[str]`) - Specifies the SKU of the image used to create the virtual machines.
* `version` (`pulumi.Input[str]`) - Specifies the version of the image used to create the virtual machines.
The **terminate_notification** object supports the following:
* `enabled` (`pulumi.Input[bool]`) - Should the terminate notification be enabled on this Virtual Machine Scale Set? Defaults to `false`.
* `timeout` (`pulumi.Input[str]`) - Length of time (in minutes, between 5 and 15) a notification to be sent to the VM on the instance metadata server till the VM gets deleted. The time duration should be specified in ISO 8601 format.
The **winrm_listeners** object supports the following:
* `certificateUrl` (`pulumi.Input[str]`) - The Secret URL of a Key Vault Certificate, which must be specified when `protocol` is set to `Https`.
* `protocol` (`pulumi.Input[str]`) - The Protocol of the WinRM Listener. Possible values are `Http` and `Https`.
"""
if __name__ is not None:
warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
resource_name = __name__
if __opts__ is not None:
warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
opts = __opts__
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__ = dict()
__props__['additional_capabilities'] = additional_capabilities
__props__['additional_unattend_contents'] = additional_unattend_contents
if admin_password is None:
raise TypeError("Missing required property 'admin_password'")
__props__['admin_password'] = admin_password
if admin_username is None:
raise TypeError("Missing required property 'admin_username'")
__props__['admin_username'] = admin_username
__props__['automatic_instance_repair'] = automatic_instance_repair
__props__['automatic_os_upgrade_policy'] = automatic_os_upgrade_policy
__props__['boot_diagnostics'] = boot_diagnostics
__props__['computer_name_prefix'] = computer_name_prefix
__props__['custom_data'] = custom_data
__props__['data_disks'] = data_disks
__props__['do_not_run_extensions_on_overprovisioned_machines'] = do_not_run_extensions_on_overprovisioned_machines
__props__['enable_automatic_updates'] = enable_automatic_updates
__props__['eviction_policy'] = eviction_policy
__props__['health_probe_id'] = health_probe_id
__props__['identity'] = identity
if instances is None:
raise TypeError("Missing required property 'instances'")
__props__['instances'] = instances
__props__['license_type'] = license_type
__props__['location'] = location
__props__['max_bid_price'] = max_bid_price
__props__['name'] = name
if network_interfaces is None:
raise TypeError("Missing required property 'network_interfaces'")
__props__['network_interfaces'] = network_interfaces
if os_disk is None:
raise TypeError("Missing required property 'os_disk'")
__props__['os_disk'] = os_disk
__props__['overprovision'] = overprovision
__props__['plan'] = plan
__props__['priority'] = priority
__props__['provision_vm_agent'] = provision_vm_agent
__props__['proximity_placement_group_id'] = proximity_placement_group_id
if resource_group_name is None:
raise TypeError("Missing required property 'resource_group_name'")
__props__['resource_group_name'] = resource_group_name
__props__['rolling_upgrade_policy'] = rolling_upgrade_policy
__props__['scale_in_policy'] = scale_in_policy
__props__['secrets'] = secrets
__props__['single_placement_group'] = single_placement_group
if sku is None:
raise TypeError("Missing required property 'sku'")
__props__['sku'] = sku
__props__['source_image_id'] = source_image_id
__props__['source_image_reference'] = source_image_reference
__props__['tags'] = tags
__props__['terminate_notification'] = terminate_notification
__props__['timezone'] = timezone
__props__['upgrade_mode'] = upgrade_mode
__props__['winrm_listeners'] = winrm_listeners
__props__['zone_balance'] = zone_balance
__props__['zones'] = zones
__props__['unique_id'] = None
super(WindowsVirtualMachineScaleSet, __self__).__init__(
'azure:compute/windowsVirtualMachineScaleSet:WindowsVirtualMachineScaleSet',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name, id, opts=None, additional_capabilities=None, additional_unattend_contents=None, admin_password=None, admin_username=None, automatic_instance_repair=None, automatic_os_upgrade_policy=None, boot_diagnostics=None, computer_name_prefix=None, custom_data=None, data_disks=None, do_not_run_extensions_on_overprovisioned_machines=None, enable_automatic_updates=None, eviction_policy=None, health_probe_id=None, identity=None, instances=None, license_type=None, location=None, max_bid_price=None, name=None, network_interfaces=None, os_disk=None, overprovision=None, plan=None, priority=None, provision_vm_agent=None, proximity_placement_group_id=None, resource_group_name=None, rolling_upgrade_policy=None, scale_in_policy=None, secrets=None, single_placement_group=None, sku=None, source_image_id=None, source_image_reference=None, tags=None, terminate_notification=None, timezone=None, unique_id=None, upgrade_mode=None, winrm_listeners=None, zone_balance=None, zones=None):
"""
Get an existing WindowsVirtualMachineScaleSet 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 str id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[dict] additional_capabilities: A `additional_capabilities` block as defined below.
:param pulumi.Input[list] additional_unattend_contents: One or more `additional_unattend_content` blocks as defined below.
:param pulumi.Input[str] admin_password: The Password which should be used for the local-administrator on this Virtual Machine. Changing this forces a new resource to be created.
:param pulumi.Input[str] admin_username: The username of the local administrator on each Virtual Machine Scale Set instance. Changing this forces a new resource to be created.
:param pulumi.Input[dict] automatic_instance_repair: A `automatic_instance_repair` block as defined below. To enable the automatic instance repair, this Virtual Machine Scale Set must have a valid `health_probe_id` or an [Application Health Extension](https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-health-extension).
:param pulumi.Input[dict] automatic_os_upgrade_policy: A `automatic_os_upgrade_policy` block as defined below. This is Required and can only be specified when `upgrade_mode` is set to `Automatic`.
:param pulumi.Input[dict] boot_diagnostics: A `boot_diagnostics` block as defined below.
:param pulumi.Input[str] computer_name_prefix: The prefix which should be used for the name of the Virtual Machines in this Scale Set. If unspecified this defaults to the value for the `name` field. If the value of the `name` field is not a valid `computer_name_prefix`, then you must specify `computer_name_prefix`.
:param pulumi.Input[str] custom_data: The Base64-Encoded Custom Data which should be used for this Virtual Machine Scale Set.
:param pulumi.Input[list] data_disks: One or more `data_disk` blocks as defined below.
:param pulumi.Input[bool] do_not_run_extensions_on_overprovisioned_machines: Should Virtual Machine Extensions be run on Overprovisioned Virtual Machines in the Scale Set? Defaults to `false`.
:param pulumi.Input[bool] enable_automatic_updates: Are automatic updates enabled for this Virtual Machine? Defaults to `true`.
:param pulumi.Input[str] eviction_policy: The Policy which should be used Virtual Machines are Evicted from the Scale Set. Changing this forces a new resource to be created.
:param pulumi.Input[str] health_probe_id: The ID of a Load Balancer Probe which should be used to determine the health of an instance. Changing this forces a new resource to be created. This is Required and can only be specified when `upgrade_mode` is set to `Automatic` or `Rolling`.
:param pulumi.Input[dict] identity: A `identity` block as defined below.
:param pulumi.Input[float] instances: The number of Virtual Machines in the Scale Set.
:param pulumi.Input[str] license_type: Specifies the type of on-premise license (also known as [Azure Hybrid Use Benefit](https://docs.microsoft.com/azure/virtual-machines/virtual-machines-windows-hybrid-use-benefit-licensing)) which should be used for this Virtual Machine Scale Set. Possible values are `None`, `Windows_Client` and `Windows_Server`. Changing this forces a new resource to be created.
:param pulumi.Input[str] location: The Azure location where the Windows Virtual Machine Scale Set should exist. Changing this forces a new resource to be created.
:param pulumi.Input[float] max_bid_price: The maximum price you're willing to pay for each Virtual Machine in this Scale Set, in US Dollars; which must be greater than the current spot price. If this bid price falls below the current spot price the Virtual Machines in the Scale Set will be evicted using the `eviction_policy`. Defaults to `-1`, which means that each Virtual Machine in the Scale Set should not be evicted for price reasons.
:param pulumi.Input[str] name: The name of the Windows Virtual Machine Scale Set. Changing this forces a new resource to be created.
:param pulumi.Input[list] network_interfaces: One or more `network_interface` blocks as defined below.
:param pulumi.Input[dict] os_disk: An `os_disk` block as defined below.
:param pulumi.Input[bool] overprovision: Should Azure over-provision Virtual Machines in this Scale Set? This means that multiple Virtual Machines will be provisioned and Azure will keep the instances which become available first - which improves provisioning success rates and improves deployment time. You're not billed for these over-provisioned VM's and they don't count towards the Subscription Quota. Defaults to `false`.
:param pulumi.Input[str] priority: The Priority of this Virtual Machine Scale Set. Possible values are `Regular` and `Spot`. Defaults to `Regular`. Changing this value forces a new resource.
:param pulumi.Input[bool] provision_vm_agent: Should the Azure VM Agent be provisioned on each Virtual Machine in the Scale Set? Defaults to `true`. Changing this value forces a new resource to be created.
:param pulumi.Input[str] proximity_placement_group_id: The ID of the Proximity Placement Group in which the Virtual Machine Scale Set should be assigned to. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the Windows Virtual Machine Scale Set should be exist. Changing this forces a new resource to be created.
:param pulumi.Input[dict] rolling_upgrade_policy: A `rolling_upgrade_policy` block as defined below. This is Required and can only be specified when `upgrade_mode` is set to `Automatic` or `Rolling`.
:param pulumi.Input[str] scale_in_policy: The scale-in policy rule that decides which virtual machines are chosen for removal when a Virtual Machine Scale Set is scaled in. Possible values for the scale-in policy rules are `Default`, `NewestVM` and `OldestVM`, defaults to `Default`. For more information about scale in policy, please [refer to this doc](https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-scale-in-policy).
:param pulumi.Input[list] secrets: One or more `secret` blocks as defined below.
:param pulumi.Input[bool] single_placement_group: Should this Virtual Machine Scale Set be limited to a Single Placement Group, which means the number of instances will be capped at 100 Virtual Machines. Defaults to `true`.
:param pulumi.Input[str] sku: The Virtual Machine SKU for the Scale Set, such as `Standard_F2`.
:param pulumi.Input[str] source_image_id: The ID of an Image which each Virtual Machine in this Scale Set should be based on.
:param pulumi.Input[dict] source_image_reference: A `source_image_reference` block as defined below.
:param pulumi.Input[dict] tags: A mapping of tags which should be assigned to this Virtual Machine Scale Set.
:param pulumi.Input[dict] terminate_notification: A `terminate_notification` block as defined below.
:param pulumi.Input[str] timezone: Specifies the time zone of the virtual machine, [the possible values are defined here](https://jackstromberg.com/2017/01/list-of-time-zones-consumed-by-azure/).
:param pulumi.Input[str] unique_id: The Unique ID for this Windows Virtual Machine Scale Set.
:param pulumi.Input[str] upgrade_mode: Specifies how Upgrades (e.g. changing the Image/SKU) should be performed to Virtual Machine Instances. Possible values are `Automatic`, `Manual` and `Rolling`. Defaults to `Manual`.
:param pulumi.Input[list] winrm_listeners: One or more `winrm_listener` blocks as defined below.
:param pulumi.Input[bool] zone_balance: Should the Virtual Machines in this Scale Set be strictly evenly distributed across Availability Zones? Defaults to `false`. Changing this forces a new resource to be created.
:param pulumi.Input[list] zones: A list of Availability Zones in which the Virtual Machines in this Scale Set should be created in. Changing this forces a new resource to be created.
The **additional_capabilities** object supports the following:
* `ultraSsdEnabled` (`pulumi.Input[bool]`) - Should the capacity to enable Data Disks of the `UltraSSD_LRS` storage account type be supported on this Virtual Machine Scale Set? Defaults to `false`. Changing this forces a new resource to be created.
The **additional_unattend_contents** object supports the following:
* `content` (`pulumi.Input[str]`) - The XML formatted content that is added to the unattend.xml file for the specified path and component. Changing this forces a new resource to be created.
* `setting` (`pulumi.Input[str]`) - The name of the setting to which the content applies. Possible values are `AutoLogon` and `FirstLogonCommands`. Changing this forces a new resource to be created.
The **automatic_instance_repair** object supports the following:
* `enabled` (`pulumi.Input[bool]`) - Should the automatic instance repair be enabled on this Virtual Machine Scale Set?
* `gracePeriod` (`pulumi.Input[str]`) - Amount of time (in minutes, between 30 and 90, defaults to 30 minutes) for which automatic repairs will be delayed. The grace period starts right after the VM is found unhealthy. The time duration should be specified in ISO 8601 format.
The **automatic_os_upgrade_policy** object supports the following:
* `disableAutomaticRollback` (`pulumi.Input[bool]`) - Should automatic rollbacks be disabled? Changing this forces a new resource to be created.
* `enableAutomaticOsUpgrade` (`pulumi.Input[bool]`) - Should OS Upgrades automatically be applied to Scale Set instances in a rolling fashion when a newer version of the OS Image becomes available? Changing this forces a new resource to be created.
The **boot_diagnostics** object supports the following:
* `storageAccountUri` (`pulumi.Input[str]`) - The Primary/Secondary Endpoint for the Azure Storage Account which should be used to store Boot Diagnostics, including Console Output and Screenshots from the Hypervisor.
The **data_disks** object supports the following:
* `caching` (`pulumi.Input[str]`) - The type of Caching which should be used for this Data Disk. Possible values are `None`, `ReadOnly` and `ReadWrite`.
* `create_option` (`pulumi.Input[str]`) - The create option which should be used for this Data Disk. Possible values are `Empty` and `FromImage`. Defaults to `Empty`. (`FromImage` should only be used if the source image includes data disks).
* `disk_encryption_set_id` (`pulumi.Input[str]`) - The ID of the Disk Encryption Set which should be used to encrypt this Data Disk.
* `disk_size_gb` (`pulumi.Input[float]`) - The size of the Data Disk which should be created.
* `lun` (`pulumi.Input[float]`) - The Logical Unit Number of the Data Disk, which must be unique within the Virtual Machine.
* `storage_account_type` (`pulumi.Input[str]`) - The Type of Storage Account which should back this Data Disk. Possible values include `Standard_LRS`, `StandardSSD_LRS`, `Premium_LRS` and `UltraSSD_LRS`.
* `write_accelerator_enabled` (`pulumi.Input[bool]`) - Should Write Accelerator be enabled for this Data Disk? Defaults to `false`.
The **identity** object supports the following:
* `identityIds` (`pulumi.Input[list]`) - A list of User Managed Identity ID's which should be assigned to the Windows Virtual Machine Scale Set.
* `principal_id` (`pulumi.Input[str]`) - The ID of the System Managed Service Principal.
* `type` (`pulumi.Input[str]`) - The type of Managed Identity which should be assigned to the Windows Virtual Machine Scale Set. Possible values are `SystemAssigned`, `UserAssigned` and `SystemAssigned, UserAssigned`.
The **network_interfaces** object supports the following:
* `dns_servers` (`pulumi.Input[list]`) - A list of IP Addresses of DNS Servers which should be assigned to the Network Interface.
* `enable_accelerated_networking` (`pulumi.Input[bool]`) - Does this Network Interface support Accelerated Networking? Defaults to `false`.
* `enable_ip_forwarding` (`pulumi.Input[bool]`) - Does this Network Interface support IP Forwarding? Defaults to `false`.
* `ip_configurations` (`pulumi.Input[list]`) - One or more `ip_configuration` blocks as defined above.
* `applicationGatewayBackendAddressPoolIds` (`pulumi.Input[list]`) - A list of Backend Address Pools ID's from a Application Gateway which this Virtual Machine Scale Set should be connected to.
* `applicationSecurityGroupIds` (`pulumi.Input[list]`) - A list of Application Security Group ID's which this Virtual Machine Scale Set should be connected to.
* `loadBalancerBackendAddressPoolIds` (`pulumi.Input[list]`) - A list of Backend Address Pools ID's from a Load Balancer which this Virtual Machine Scale Set should be connected to.
* `loadBalancerInboundNatRulesIds` (`pulumi.Input[list]`) - A list of NAT Rule ID's from a Load Balancer which this Virtual Machine Scale Set should be connected to.
* `name` (`pulumi.Input[str]`) - The Name which should be used for this IP Configuration.
* `primary` (`pulumi.Input[bool]`) - Is this the Primary IP Configuration for this Network Interface? Defaults to `false`.
* `public_ip_addresses` (`pulumi.Input[list]`) - A `public_ip_address` block as defined below.
* `domain_name_label` (`pulumi.Input[str]`) - The Prefix which should be used for the Domain Name Label for each Virtual Machine Instance. Azure concatenates the Domain Name Label and Virtual Machine Index to create a unique Domain Name Label for each Virtual Machine.
* `idle_timeout_in_minutes` (`pulumi.Input[float]`) - The Idle Timeout in Minutes for the Public IP Address. Possible values are in the range `4` to `32`.
* `ipTags` (`pulumi.Input[list]`) - One or more `ip_tag` blocks as defined above.
* `tag` (`pulumi.Input[str]`) - The IP Tag associated with the Public IP, such as `SQL` or `Storage`.
* `type` (`pulumi.Input[str]`) - The Type of IP Tag, such as `FirstPartyUsage`.
* `name` (`pulumi.Input[str]`) - The Name of the Public IP Address Configuration.
* `public_ip_prefix_id` (`pulumi.Input[str]`) - The ID of the Public IP Address Prefix from where Public IP Addresses should be allocated. Changing this forces a new resource to be created.
* `subnet_id` (`pulumi.Input[str]`) - The ID of the Subnet which this IP Configuration should be connected to.
* `version` (`pulumi.Input[str]`) - The Internet Protocol Version which should be used for this IP Configuration. Possible values are `IPv4` and `IPv6`. Defaults to `IPv4`.
* `name` (`pulumi.Input[str]`) - The Name which should be used for this Network Interface. Changing this forces a new resource to be created.
* `network_security_group_id` (`pulumi.Input[str]`) - The ID of a Network Security Group which should be assigned to this Network Interface.
* `primary` (`pulumi.Input[bool]`) - Is this the Primary IP Configuration?
The **os_disk** object supports the following:
* `caching` (`pulumi.Input[str]`) - The Type of Caching which should be used for the Internal OS Disk. Possible values are `None`, `ReadOnly` and `ReadWrite`.
* `diffDiskSettings` (`pulumi.Input[dict]`) - A `diff_disk_settings` block as defined above. Changing this forces a new resource to be created.
* `option` (`pulumi.Input[str]`)
* `disk_encryption_set_id` (`pulumi.Input[str]`) - The ID of the Disk Encryption Set which should be used to encrypt this OS Disk.
* `disk_size_gb` (`pulumi.Input[float]`) - The Size of the Internal OS Disk in GB, if you wish to vary from the size used in the image this Virtual Machine Scale Set is sourced from.
* `storage_account_type` (`pulumi.Input[str]`) - The Type of Storage Account which should back this the Internal OS Disk. Possible values include `Standard_LRS`, `StandardSSD_LRS` and `Premium_LRS`.
* `write_accelerator_enabled` (`pulumi.Input[bool]`) - Should Write Accelerator be Enabled for this OS Disk? Defaults to `false`.
The **plan** object supports the following:
* `name` (`pulumi.Input[str]`) - The name of the Windows Virtual Machine Scale Set. Changing this forces a new resource to be created.
* `product` (`pulumi.Input[str]`)
* `publisher` (`pulumi.Input[str]`) - Specifies the publisher of the image used to create the virtual machines.
The **rolling_upgrade_policy** object supports the following:
* `maxBatchInstancePercent` (`pulumi.Input[float]`) - The maximum percent of total virtual machine instances that will be upgraded simultaneously by the rolling upgrade in one batch. As this is a maximum, unhealthy instances in previous or future batches can cause the percentage of instances in a batch to decrease to ensure higher reliability. Changing this forces a new resource to be created.
* `maxUnhealthyInstancePercent` (`pulumi.Input[float]`) - The maximum percentage of the total virtual machine instances in the scale set that can be simultaneously unhealthy, either as a result of being upgraded, or by being found in an unhealthy state by the virtual machine health checks before the rolling upgrade aborts. This constraint will be checked prior to starting any batch. Changing this forces a new resource to be created.
* `maxUnhealthyUpgradedInstancePercent` (`pulumi.Input[float]`) - The maximum percentage of upgraded virtual machine instances that can be found to be in an unhealthy state. This check will happen after each batch is upgraded. If this percentage is ever exceeded, the rolling update aborts. Changing this forces a new resource to be created.
* `pauseTimeBetweenBatches` (`pulumi.Input[str]`) - The wait time between completing the update for all virtual machines in one batch and starting the next batch. The time duration should be specified in ISO 8601 format. Changing this forces a new resource to be created.
The **secrets** object supports the following:
* `certificates` (`pulumi.Input[list]`) - One or more `certificate` blocks as defined above.
* `store` (`pulumi.Input[str]`) - The certificate store on the Virtual Machine where the certificate should be added.
* `url` (`pulumi.Input[str]`) - The Secret URL of a Key Vault Certificate.
* `key_vault_id` (`pulumi.Input[str]`) - The ID of the Key Vault from which all Secrets should be sourced.
The **source_image_reference** object supports the following:
* `offer` (`pulumi.Input[str]`) - Specifies the offer of the image used to create the virtual machines.
* `publisher` (`pulumi.Input[str]`) - Specifies the publisher of the image used to create the virtual machines.
* `sku` (`pulumi.Input[str]`) - Specifies the SKU of the image used to create the virtual machines.
* `version` (`pulumi.Input[str]`) - Specifies the version of the image used to create the virtual machines.
The **terminate_notification** object supports the following:
* `enabled` (`pulumi.Input[bool]`) - Should the terminate notification be enabled on this Virtual Machine Scale Set? Defaults to `false`.
* `timeout` (`pulumi.Input[str]`) - Length of time (in minutes, between 5 and 15) a notification to be sent to the VM on the instance metadata server till the VM gets deleted. The time duration should be specified in ISO 8601 format.
The **winrm_listeners** object supports the following:
* `certificateUrl` (`pulumi.Input[str]`) - The Secret URL of a Key Vault Certificate, which must be specified when `protocol` is set to `Https`.
* `protocol` (`pulumi.Input[str]`) - The Protocol of the WinRM Listener. Possible values are `Http` and `Https`.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = dict()
__props__["additional_capabilities"] = additional_capabilities
__props__["additional_unattend_contents"] = additional_unattend_contents
__props__["admin_password"] = admin_password
__props__["admin_username"] = admin_username
__props__["automatic_instance_repair"] = automatic_instance_repair
__props__["automatic_os_upgrade_policy"] = automatic_os_upgrade_policy
__props__["boot_diagnostics"] = boot_diagnostics
__props__["computer_name_prefix"] = computer_name_prefix
__props__["custom_data"] = custom_data
__props__["data_disks"] = data_disks
__props__["do_not_run_extensions_on_overprovisioned_machines"] = do_not_run_extensions_on_overprovisioned_machines
__props__["enable_automatic_updates"] = enable_automatic_updates
__props__["eviction_policy"] = eviction_policy
__props__["health_probe_id"] = health_probe_id
__props__["identity"] = identity
__props__["instances"] = instances
__props__["license_type"] = license_type
__props__["location"] = location
__props__["max_bid_price"] = max_bid_price
__props__["name"] = name
__props__["network_interfaces"] = network_interfaces
__props__["os_disk"] = os_disk
__props__["overprovision"] = overprovision
__props__["plan"] = plan
__props__["priority"] = priority
__props__["provision_vm_agent"] = provision_vm_agent
__props__["proximity_placement_group_id"] = proximity_placement_group_id
__props__["resource_group_name"] = resource_group_name
__props__["rolling_upgrade_policy"] = rolling_upgrade_policy
__props__["scale_in_policy"] = scale_in_policy
__props__["secrets"] = secrets
__props__["single_placement_group"] = single_placement_group
__props__["sku"] = sku
__props__["source_image_id"] = source_image_id
__props__["source_image_reference"] = source_image_reference
__props__["tags"] = tags
__props__["terminate_notification"] = terminate_notification
__props__["timezone"] = timezone
__props__["unique_id"] = unique_id
__props__["upgrade_mode"] = upgrade_mode
__props__["winrm_listeners"] = winrm_listeners
__props__["zone_balance"] = zone_balance
__props__["zones"] = zones
return WindowsVirtualMachineScaleSet(resource_name, opts=opts, __props__=__props__)
def translate_output_property(self, prop):
return tables._CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop
def translate_input_property(self, prop):
return tables._SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop
| 90.638217
| 1,037
| 0.723757
| 9,804
| 71,151
| 5.123011
| 0.05712
| 0.047525
| 0.03094
| 0.027595
| 0.928901
| 0.92028
| 0.915621
| 0.906045
| 0.899892
| 0.896866
| 0
| 0.002593
| 0.197791
| 71,151
| 784
| 1,038
| 90.753827
| 0.877361
| 0.575916
| 0
| 0.01105
| 1
| 0
| 0.166899
| 0.059183
| 0
| 0
| 0
| 0
| 0
| 1
| 0.022099
| false
| 0.044199
| 0.033149
| 0.01105
| 0.314917
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2941cda90dd30c3093da4519b119dfdef4e8008d
| 45
|
py
|
Python
|
core.py
|
Thanos983/ctor
|
137f2138cbb8fdd88ca8afd666d6734d96329cef
|
[
"MIT"
] | null | null | null |
core.py
|
Thanos983/ctor
|
137f2138cbb8fdd88ca8afd666d6734d96329cef
|
[
"MIT"
] | null | null | null |
core.py
|
Thanos983/ctor
|
137f2138cbb8fdd88ca8afd666d6734d96329cef
|
[
"MIT"
] | null | null | null |
import requests
class Core(object):
pass
| 11.25
| 19
| 0.733333
| 6
| 45
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 45
| 4
| 20
| 11.25
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
2953f84503713a99df51509c627ef17a14fac7b1
| 3,778
|
py
|
Python
|
app/views.py
|
muneneee/flask
|
c00ecaaa5dc140e6be9e478df4336951b01f7658
|
[
"MIT"
] | null | null | null |
app/views.py
|
muneneee/flask
|
c00ecaaa5dc140e6be9e478df4336951b01f7658
|
[
"MIT"
] | null | null | null |
app/views.py
|
muneneee/flask
|
c00ecaaa5dc140e6be9e478df4336951b01f7658
|
[
"MIT"
] | null | null | null |
from flask import render_template
from app import app
from .request import get_news
from newsapi import NewsApiClient
#views
@app.route('/')
def index():
'''
view page function that returns index page
'''
newsapi = NewsApiClient(api_key = 'e7f56e932284432c89095aa5928310c7' )
topheadlines = newsapi.get_top_headlines(sources="fox-news")
articles = topheadlines['articles']
desc = []
news = []
date = []
link = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
date.append(myarticles['publishedAt'])
link.append(myarticles['url'])
mylist = zip(news, desc, date,link)
title = 'Home - Welcome to newshub'
return render_template('index.html', title = title,context= mylist)
@app.route('/cnn')
def cnn():
'''
view page function that returns cnn page
'''
newsapi = NewsApiClient(api_key = 'e7f56e932284432c89095aa5928310c7' )
topheadlines = newsapi.get_top_headlines(sources="cnn")
articles = topheadlines['articles']
desc = []
news = []
date = []
link = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
date.append(myarticles['publishedAt'])
link.append(myarticles['url'])
mylist = zip(news, desc, date,link)
title = 'Home - Welcome to newshub'
return render_template('cnn.html', title = title,context= mylist)
@app.route('/espn')
def espn():
'''
view page function that returns espn page
'''
newsapi = NewsApiClient(api_key = 'e7f56e932284432c89095aa5928310c7' )
topheadlines = newsapi.get_top_headlines(sources="espn")
articles = topheadlines['articles']
desc = []
news = []
date = []
link = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
date.append(myarticles['publishedAt'])
link.append(myarticles['url'])
mylist = zip(news, desc, date,link)
title = 'Home - Welcome to newshub'
return render_template('espn.html', title = title,context= mylist)
@app.route('/fortune')
def fortune():
'''
view page function that returns fortune page
'''
newsapi = NewsApiClient(api_key = 'e7f56e932284432c89095aa5928310c7' )
topheadlines = newsapi.get_top_headlines(sources="fortune")
articles = topheadlines['articles']
desc = []
news = []
date = []
link =[]
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
date.append(myarticles['publishedAt'])
link.append(myarticles['url'])
mylist = zip(news, desc, date,link)
title = 'Home - Welcome to newshub'
return render_template('fortune.html', title = title,context= mylist)
@app.route('/ign')
def ign():
'''
view page function that returns ign page
'''
newsapi = NewsApiClient(api_key = 'e7f56e932284432c89095aa5928310c7' )
topheadlines = newsapi.get_top_headlines(sources="ign")
articles = topheadlines['articles']
desc = []
news = []
date = []
link = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
date.append(myarticles['publishedAt'])
link.append(myarticles['url'])
mylist = zip(news, desc, date,link)
title = 'Home - Welcome to newshub'
return render_template('ign.html', title = title,context= mylist)
| 23.320988
| 74
| 0.634727
| 399
| 3,778
| 5.954887
| 0.140351
| 0.13468
| 0.03367
| 0.042088
| 0.901515
| 0.833333
| 0.833333
| 0.774411
| 0.774411
| 0.774411
| 0
| 0.043014
| 0.23081
| 3,778
| 161
| 75
| 23.465839
| 0.774604
| 0.057438
| 0
| 0.744681
| 0
| 0
| 0.163271
| 0.045911
| 0
| 0
| 0
| 0
| 0
| 1
| 0.053191
| false
| 0
| 0.042553
| 0
| 0.148936
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2985d69f18c0b147db06d52cf7f8029cc616ec76
| 261
|
py
|
Python
|
hapiclient/gallery/gallery_test.py
|
lkilcommons/client-python
|
7f8f895bd6b43aa12c4531e4498d1bab91c30691
|
[
"BSD-3-Clause"
] | null | null | null |
hapiclient/gallery/gallery_test.py
|
lkilcommons/client-python
|
7f8f895bd6b43aa12c4531e4498d1bab91c30691
|
[
"BSD-3-Clause"
] | null | null | null |
hapiclient/gallery/gallery_test.py
|
lkilcommons/client-python
|
7f8f895bd6b43aa12c4531e4498d1bab91c30691
|
[
"BSD-3-Clause"
] | null | null | null |
if True:
from hapiclient import gallery
gallery('http://hapi-server.org/servers/TestData/hapi', 'dataset1', loglevel='debug')
if False:
from hapiclient import gallery
gallery('http://hapi-server.org/servers/TestData/hapi','dataset1', 'vector')
| 32.625
| 89
| 0.720307
| 33
| 261
| 5.69697
| 0.515152
| 0.148936
| 0.212766
| 0.287234
| 0.829787
| 0.829787
| 0.829787
| 0.829787
| 0.829787
| 0.829787
| 0
| 0.008811
| 0.130268
| 261
| 7
| 90
| 37.285714
| 0.819383
| 0
| 0
| 0.333333
| 0
| 0
| 0.440613
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 11
|
4696f392b2685c7d3c14d440e6f8fa7b534e9b36
| 5,184
|
py
|
Python
|
tests/test_apigatewayv2/test_apigatewayv2_vpclinks.py
|
symroe/moto
|
4e106995af6f2820273528fca8a4e9ee288690a5
|
[
"Apache-2.0"
] | null | null | null |
tests/test_apigatewayv2/test_apigatewayv2_vpclinks.py
|
symroe/moto
|
4e106995af6f2820273528fca8a4e9ee288690a5
|
[
"Apache-2.0"
] | 1
|
2022-02-19T02:10:45.000Z
|
2022-02-19T02:15:52.000Z
|
tests/test_apigatewayv2/test_apigatewayv2_vpclinks.py
|
symroe/moto
|
4e106995af6f2820273528fca8a4e9ee288690a5
|
[
"Apache-2.0"
] | null | null | null |
import boto3
import pytest
from botocore.exceptions import ClientError
from moto import mock_apigatewayv2
@mock_apigatewayv2
def test_get_vpc_links_empty():
client = boto3.client("apigatewayv2", region_name="eu-west-1")
resp = client.get_vpc_links()
resp.should.have.key("Items").equals([])
@mock_apigatewayv2
def test_create_vpc_links():
client = boto3.client("apigatewayv2", region_name="eu-west-1")
resp = client.create_vpc_link(
Name="vpcl",
SecurityGroupIds=["sg1", "sg2"],
SubnetIds=["sid1", "sid2"],
Tags={"key1": "value1"},
)
resp.should.have.key("CreatedDate")
resp.should.have.key("Name").equals("vpcl")
resp.should.have.key("SecurityGroupIds").equals(["sg1", "sg2"])
resp.should.have.key("SubnetIds").equals(["sid1", "sid2"])
resp.should.have.key("Tags").equals({"key1": "value1"})
resp.should.have.key("VpcLinkId")
resp.should.have.key("VpcLinkStatus").equals("AVAILABLE")
resp.should.have.key("VpcLinkVersion").equals("V2")
@mock_apigatewayv2
def test_get_vpc_link():
client = boto3.client("apigatewayv2", region_name="eu-west-1")
vpc_link_id = client.create_vpc_link(
Name="vpcl",
SecurityGroupIds=["sg1", "sg2"],
SubnetIds=["sid1", "sid2"],
Tags={"key1": "value1"},
)["VpcLinkId"]
resp = client.get_vpc_link(VpcLinkId=vpc_link_id)
resp.should.have.key("CreatedDate")
resp.should.have.key("Name").equals("vpcl")
resp.should.have.key("SecurityGroupIds").equals(["sg1", "sg2"])
resp.should.have.key("SubnetIds").equals(["sid1", "sid2"])
resp.should.have.key("Tags").equals({"key1": "value1"})
resp.should.have.key("VpcLinkId")
resp.should.have.key("VpcLinkStatus").equals("AVAILABLE")
resp.should.have.key("VpcLinkVersion").equals("V2")
@mock_apigatewayv2
def test_get_vpc_link_unknown():
client = boto3.client("apigatewayv2", region_name="ap-southeast-1")
with pytest.raises(ClientError) as exc:
client.get_vpc_link(VpcLinkId="unknown")
err = exc.value.response["Error"]
err["Code"].should.equal("NotFoundException")
err["Message"].should.equal("Invalid VpcLink identifier specified unknown")
@mock_apigatewayv2
def test_get_vpc_links():
client = boto3.client("apigatewayv2", region_name="eu-west-1")
vpc_link_id = client.create_vpc_link(
Name="vpcl",
SecurityGroupIds=["sg1", "sg2"],
SubnetIds=["sid1", "sid2"],
Tags={"key1": "value1"},
)["VpcLinkId"]
links = client.get_vpc_links()["Items"]
links.should.have.length_of(1)
links[0]["VpcLinkId"].should.equal(vpc_link_id)
client.create_vpc_link(
Name="vpcl",
SecurityGroupIds=["sg1", "sg2"],
SubnetIds=["sid1", "sid2"],
Tags={"key1": "value1"},
)
links = client.get_vpc_links()["Items"]
links.should.have.length_of(2)
@mock_apigatewayv2
def test_delete_vpc_link():
client = boto3.client("apigatewayv2", region_name="eu-north-1")
vpc_link_id = client.create_vpc_link(
Name="vpcl",
SecurityGroupIds=["sg1", "sg2"],
SubnetIds=["sid1", "sid2"],
Tags={"key1": "value1"},
)["VpcLinkId"]
links = client.get_vpc_links()["Items"]
links.should.have.length_of(1)
client.delete_vpc_link(VpcLinkId=vpc_link_id)
links = client.get_vpc_links()["Items"]
links.should.have.length_of(0)
@mock_apigatewayv2
def test_update_vpc_link():
client = boto3.client("apigatewayv2", region_name="eu-north-1")
vpc_link_id = client.create_vpc_link(
Name="vpcl",
SecurityGroupIds=["sg1", "sg2"],
SubnetIds=["sid1", "sid2"],
Tags={"key1": "value1"},
)["VpcLinkId"]
resp = client.update_vpc_link(VpcLinkId=vpc_link_id, Name="vpcl2")
resp.should.have.key("CreatedDate")
resp.should.have.key("Name").equals("vpcl2")
resp.should.have.key("SecurityGroupIds").equals(["sg1", "sg2"])
resp.should.have.key("SubnetIds").equals(["sid1", "sid2"])
resp.should.have.key("Tags").equals({"key1": "value1"})
resp.should.have.key("VpcLinkId")
resp.should.have.key("VpcLinkStatus").equals("AVAILABLE")
resp.should.have.key("VpcLinkVersion").equals("V2")
@mock_apigatewayv2
def test_untag_vpc_link():
client = boto3.client("apigatewayv2", region_name="eu-west-1")
vpc_link_id = client.create_vpc_link(
Name="vpcl",
SecurityGroupIds=["sg1", "sg2"],
SubnetIds=["sid1", "sid2"],
Tags={"Key1": "value1", "key2": "val2"},
)["VpcLinkId"]
arn = f"arn:aws:apigateway:eu-west-1::/vpclinks/{vpc_link_id}"
client.untag_resource(ResourceArn=arn, TagKeys=["Key1"])
resp = client.get_vpc_link(VpcLinkId=vpc_link_id)
resp.should.have.key("CreatedDate")
resp.should.have.key("Name").equals("vpcl")
resp.should.have.key("SecurityGroupIds").equals(["sg1", "sg2"])
resp.should.have.key("SubnetIds").equals(["sid1", "sid2"])
resp.should.have.key("Tags").equals({"key2": "val2"})
resp.should.have.key("VpcLinkId")
resp.should.have.key("VpcLinkStatus").equals("AVAILABLE")
resp.should.have.key("VpcLinkVersion").equals("V2")
| 31.803681
| 79
| 0.6576
| 646
| 5,184
| 5.116099
| 0.131579
| 0.111952
| 0.139788
| 0.169743
| 0.827837
| 0.817247
| 0.790318
| 0.772163
| 0.772163
| 0.772163
| 0
| 0.026292
| 0.15625
| 5,184
| 162
| 80
| 32
| 0.72931
| 0
| 0
| 0.725806
| 0
| 0
| 0.20814
| 0.010224
| 0
| 0
| 0
| 0
| 0
| 1
| 0.064516
| false
| 0
| 0.032258
| 0
| 0.096774
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
d3c41c23cc0ce53f18df6af845291e12c4b04c05
| 5,167
|
py
|
Python
|
Test/test_modify_contact.py
|
Lagorim/python_test
|
9c9f5accfba73bb458e3c705bd1b37bd3536d3de
|
[
"Apache-2.0"
] | 1
|
2019-04-04T08:21:49.000Z
|
2019-04-04T08:21:49.000Z
|
Test/test_modify_contact.py
|
Lagorim/python_test
|
9c9f5accfba73bb458e3c705bd1b37bd3536d3de
|
[
"Apache-2.0"
] | null | null | null |
Test/test_modify_contact.py
|
Lagorim/python_test
|
9c9f5accfba73bb458e3c705bd1b37bd3536d3de
|
[
"Apache-2.0"
] | null | null | null |
from Model_class.contact import Contact
from random import randrange
def test_modify_firstname(app):
if app.contact.count() == 0:
app.contact.create(Contact(firstname=""))
old_contacts = app.contact.get_contact_list()
index = randrange(len(old_contacts))
contact = Contact(firstname="Firstname")
contact.id = old_contacts[index].id
app.contact.modify_contact_by_index(index, contact)
new_contacts = app.contact.get_contact_list()
assert len(old_contacts) == len(new_contacts)
old_contacts[index] = contact
assert sorted(old_contacts, key=Contact.id_or_max) == sorted(new_contacts, key=Contact.id_or_max)
#def test_modify_firstname_empty_all(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(firstname=""))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(firstname=""))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_firstname_empty(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(firstname="bhsbdjj"))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(firstname=""))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_firstname_ru(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(firstname=""))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(firstname="РВИООЫВЛ"))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_firstname_rus(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(firstname="ОРИВРЫОРП"))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(firstname="РВИООЫВЛ"))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_firstname_number(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(firstname=""))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(firstname="1546258:`"))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_firstname_numbers(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(firstname="12565715!:"))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(firstname=""))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_lastname(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(lastname=""))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(lastname="Lastname"))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_lastname_empty_all(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(lastname=""))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(lastname=""))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_lastname_empty(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(lastname="bhsbdjj"))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(lastname=""))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_lastname_ru(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(lastname=""))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(lastname="РВИООЫВЛ"))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_lastname_rus(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(lastname="ОРИВРЫОРП"))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(lastname="РВИООЫВЛ"))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_lastname_number(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(lastname=""))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(lastname="1546258:`"))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
#def test_modify_lastname_numbers(app):
# if app.contact.count() == 0:
# app.contact.create(Contact(lastname="12565715!:"))
# old_contacts = app.contact.get_contact_list()
# app.contact.modify_first_contact(Contact(lastname=""))
# new_contacts = app.contact.get_contact_list()
# assert len(old_contacts) == len(new_contacts)
| 39.143939
| 101
| 0.715889
| 676
| 5,167
| 5.186391
| 0.063609
| 0.199658
| 0.143754
| 0.167712
| 0.926697
| 0.920422
| 0.906161
| 0.906161
| 0.906161
| 0.906161
| 0
| 0.009905
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| 5,167
| 131
| 102
| 39.442748
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| 0.214286
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0
| 8
|
d3de1192ebd94457f548114e4d537d268636ebc1
| 159,066
|
py
|
Python
|
release/scripts/addons/rigify/metarigs/Animals/cat.py
|
noorbeast/BlenderSource
|
65ebecc5108388965678b04b43463b85f6c69c1d
|
[
"Naumen",
"Condor-1.1",
"MS-PL"
] | 3
|
2019-09-16T10:29:19.000Z
|
2022-02-11T14:43:18.000Z
|
engine/2.80/scripts/addons/rigify/metarigs/Animals/cat.py
|
byteinc/Phasor
|
f7d23a489c2b4bcc3c1961ac955926484ff8b8d9
|
[
"Unlicense"
] | null | null | null |
engine/2.80/scripts/addons/rigify/metarigs/Animals/cat.py
|
byteinc/Phasor
|
f7d23a489c2b4bcc3c1961ac955926484ff8b8d9
|
[
"Unlicense"
] | null | null | null |
import bpy
from mathutils import Color
def create(obj):
# generated by rigify.utils.write_metarig
bpy.ops.object.mode_set(mode='EDIT')
arm = obj.data
for i in range(6):
arm.rigify_colors.add()
arm.rigify_colors[0].name = "Root"
arm.rigify_colors[0].active = Color((0.5490196347236633, 1.0, 1.0))
arm.rigify_colors[0].normal = Color((0.4352940022945404, 0.18431399762630463, 0.4156860113143921))
arm.rigify_colors[0].select = Color((0.31372547149658203, 0.7843138575553894, 1.0))
arm.rigify_colors[0].standard_colors_lock = True
arm.rigify_colors[1].name = "IK"
arm.rigify_colors[1].active = Color((0.5490196347236633, 1.0, 1.0))
arm.rigify_colors[1].normal = Color((0.6039220094680786, 0.0, 0.0))
arm.rigify_colors[1].select = Color((0.31372547149658203, 0.7843138575553894, 1.0))
arm.rigify_colors[1].standard_colors_lock = True
arm.rigify_colors[2].name = "Special"
arm.rigify_colors[2].active = Color((0.5490196347236633, 1.0, 1.0))
arm.rigify_colors[2].normal = Color((0.9568629860877991, 0.7882350087165833, 0.04705899953842163))
arm.rigify_colors[2].select = Color((0.31372547149658203, 0.7843138575553894, 1.0))
arm.rigify_colors[2].standard_colors_lock = True
arm.rigify_colors[3].name = "Tweak"
arm.rigify_colors[3].active = Color((0.5490196347236633, 1.0, 1.0))
arm.rigify_colors[3].normal = Color((0.03921600058674812, 0.21176500618457794, 0.5803920030593872))
arm.rigify_colors[3].select = Color((0.31372547149658203, 0.7843138575553894, 1.0))
arm.rigify_colors[3].standard_colors_lock = True
arm.rigify_colors[4].name = "FK"
arm.rigify_colors[4].active = Color((0.5490196347236633, 1.0, 1.0))
arm.rigify_colors[4].normal = Color((0.11764699965715408, 0.5686269998550415, 0.035294000059366226))
arm.rigify_colors[4].select = Color((0.31372547149658203, 0.7843138575553894, 1.0))
arm.rigify_colors[4].standard_colors_lock = True
arm.rigify_colors[5].name = "Extra"
arm.rigify_colors[5].active = Color((0.5490196347236633, 1.0, 1.0))
arm.rigify_colors[5].normal = Color((0.9686279892921448, 0.2509799897670746, 0.09411799907684326))
arm.rigify_colors[5].select = Color((0.31372547149658203, 0.7843138575553894, 1.0))
arm.rigify_colors[5].standard_colors_lock = True
for i in range(29):
arm.rigify_layers.add()
arm.rigify_layers[0].name = "Face"
arm.rigify_layers[0].row = 1
arm.rigify_layers[0].selset = False
arm.rigify_layers[0].group = 5
arm.rigify_layers[1].name = "Face (Primary)"
arm.rigify_layers[1].row = 2
arm.rigify_layers[1].selset = False
arm.rigify_layers[1].group = 2
arm.rigify_layers[2].name = "Face (Secondary)"
arm.rigify_layers[2].row = 2
arm.rigify_layers[2].selset = False
arm.rigify_layers[2].group = 3
arm.rigify_layers[3].name = "Spine"
arm.rigify_layers[3].row = 3
arm.rigify_layers[3].selset = False
arm.rigify_layers[3].group = 3
arm.rigify_layers[4].name = "Spine (Tweak)"
arm.rigify_layers[4].row = 4
arm.rigify_layers[4].selset = False
arm.rigify_layers[4].group = 4
arm.rigify_layers[5].name = "Paws"
arm.rigify_layers[5].row = 5
arm.rigify_layers[5].selset = False
arm.rigify_layers[5].group = 6
arm.rigify_layers[6].name = "Paws (Tweak)"
arm.rigify_layers[6].row = 6
arm.rigify_layers[6].selset = False
arm.rigify_layers[6].group = 4
arm.rigify_layers[7].name = "Arm.L (IK)"
arm.rigify_layers[7].row = 7
arm.rigify_layers[7].selset = False
arm.rigify_layers[7].group = 2
arm.rigify_layers[8].name = "Arm.L (FK)"
arm.rigify_layers[8].row = 8
arm.rigify_layers[8].selset = False
arm.rigify_layers[8].group = 5
arm.rigify_layers[9].name = "Arm,L (Tweak)"
arm.rigify_layers[9].row = 9
arm.rigify_layers[9].selset = False
arm.rigify_layers[9].group = 4
arm.rigify_layers[10].name = "Arm.R (IK)"
arm.rigify_layers[10].row = 7
arm.rigify_layers[10].selset = False
arm.rigify_layers[10].group = 2
arm.rigify_layers[11].name = "Arm.R (FK)"
arm.rigify_layers[11].row = 8
arm.rigify_layers[11].selset = False
arm.rigify_layers[11].group = 5
arm.rigify_layers[12].name = "Arm.R (Tweak)"
arm.rigify_layers[12].row = 9
arm.rigify_layers[12].selset = False
arm.rigify_layers[12].group = 4
arm.rigify_layers[13].name = "Leg.L (IK)"
arm.rigify_layers[13].row = 10
arm.rigify_layers[13].selset = False
arm.rigify_layers[13].group = 2
arm.rigify_layers[14].name = "Leg.L (FK)"
arm.rigify_layers[14].row = 11
arm.rigify_layers[14].selset = False
arm.rigify_layers[14].group = 5
arm.rigify_layers[15].name = "Leg.L (Tweak)"
arm.rigify_layers[15].row = 12
arm.rigify_layers[15].selset = False
arm.rigify_layers[15].group = 4
arm.rigify_layers[16].name = "Leg.R (IK)"
arm.rigify_layers[16].row = 10
arm.rigify_layers[16].selset = False
arm.rigify_layers[16].group = 2
arm.rigify_layers[17].name = "Leg.R (FK)"
arm.rigify_layers[17].row = 11
arm.rigify_layers[17].selset = False
arm.rigify_layers[17].group = 5
arm.rigify_layers[18].name = "Leg.R (Tweak)"
arm.rigify_layers[18].row = 12
arm.rigify_layers[18].selset = False
arm.rigify_layers[18].group = 4
arm.rigify_layers[19].name = "Tail"
arm.rigify_layers[19].row = 13
arm.rigify_layers[19].selset = False
arm.rigify_layers[19].group = 3
arm.rigify_layers[20].name = "Tail (Tweaks)"
arm.rigify_layers[20].row = 14
arm.rigify_layers[20].selset = False
arm.rigify_layers[20].group = 4
arm.rigify_layers[21].name = " "
arm.rigify_layers[21].row = 1
arm.rigify_layers[21].selset = False
arm.rigify_layers[21].group = 0
arm.rigify_layers[22].name = " "
arm.rigify_layers[22].row = 1
arm.rigify_layers[22].selset = False
arm.rigify_layers[22].group = 0
arm.rigify_layers[23].name = " "
arm.rigify_layers[23].row = 1
arm.rigify_layers[23].selset = False
arm.rigify_layers[23].group = 0
arm.rigify_layers[24].name = " "
arm.rigify_layers[24].row = 1
arm.rigify_layers[24].selset = False
arm.rigify_layers[24].group = 0
arm.rigify_layers[25].name = " "
arm.rigify_layers[25].row = 1
arm.rigify_layers[25].selset = False
arm.rigify_layers[25].group = 0
arm.rigify_layers[26].name = " "
arm.rigify_layers[26].row = 1
arm.rigify_layers[26].selset = False
arm.rigify_layers[26].group = 0
arm.rigify_layers[27].name = " "
arm.rigify_layers[27].row = 1
arm.rigify_layers[27].selset = False
arm.rigify_layers[27].group = 0
arm.rigify_layers[28].name = "Root"
arm.rigify_layers[28].row = 16
arm.rigify_layers[28].selset = False
arm.rigify_layers[28].group = 1
bones = {}
bone = arm.edit_bones.new('tail.004')
bone.head[:] = -0.0000, 0.5531, 0.2488
bone.tail[:] = -0.0000, 0.4543, 0.2321
bone.roll = 0.0000
bone.use_connect = False
bones['tail.004'] = bone.name
bone = arm.edit_bones.new('tail.003')
bone.head[:] = -0.0000, 0.4543, 0.2321
bone.tail[:] = -0.0000, 0.3513, 0.2284
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['tail.004']]
bones['tail.003'] = bone.name
bone = arm.edit_bones.new('tail.002')
bone.head[:] = -0.0000, 0.3513, 0.2284
bone.tail[:] = -0.0000, 0.2460, 0.2324
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['tail.003']]
bones['tail.002'] = bone.name
bone = arm.edit_bones.new('tail.001')
bone.head[:] = -0.0000, 0.2460, 0.2324
bone.tail[:] = 0.0000, 0.1499, 0.2500
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['tail.002']]
bones['tail.001'] = bone.name
bone = arm.edit_bones.new('spine')
bone.head[:] = 0.0000, 0.1499, 0.2500
bone.tail[:] = 0.0000, 0.0769, 0.2272
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['tail.001']]
bones['spine'] = bone.name
bone = arm.edit_bones.new('spine.001')
bone.head[:] = 0.0000, 0.0769, 0.2272
bone.tail[:] = 0.0000, 0.0180, 0.2240
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['spine']]
bones['spine.001'] = bone.name
bone = arm.edit_bones.new('pelvis.L')
bone.head[:] = 0.0000, 0.1499, 0.2500
bone.tail[:] = 0.0391, 0.1124, 0.2699
bone.roll = 2.3502
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine']]
bones['pelvis.L'] = bone.name
bone = arm.edit_bones.new('pelvis.R')
bone.head[:] = 0.0000, 0.1499, 0.2500
bone.tail[:] = -0.0391, 0.1124, 0.2699
bone.roll = -2.3502
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine']]
bones['pelvis.R'] = bone.name
bone = arm.edit_bones.new('pelvis.C')
bone.head[:] = 0.0000, 0.1499, 0.2500
bone.tail[:] = 0.0000, 0.1344, 0.1727
bone.roll = -0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine']]
bones['pelvis.C'] = bone.name
bone = arm.edit_bones.new('spine.002')
bone.head[:] = 0.0000, 0.0180, 0.2240
bone.tail[:] = 0.0000, -0.0513, 0.2271
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['spine.001']]
bones['spine.002'] = bone.name
bone = arm.edit_bones.new('thigh.L')
bone.head[:] = 0.0291, 0.1148, 0.2460
bone.tail[:] = 0.0293, 0.1074, 0.1682
bone.roll = 3.1383
bone.use_connect = False
bone.parent = arm.edit_bones[bones['pelvis.L']]
bones['thigh.L'] = bone.name
bone = arm.edit_bones.new('thigh.R')
bone.head[:] = -0.0291, 0.1148, 0.2460
bone.tail[:] = -0.0293, 0.1074, 0.1682
bone.roll = -3.1383
bone.use_connect = False
bone.parent = arm.edit_bones[bones['pelvis.R']]
bones['thigh.R'] = bone.name
bone = arm.edit_bones.new('spine.003')
bone.head[:] = 0.0000, -0.0513, 0.2271
bone.tail[:] = 0.0000, -0.1571, 0.2355
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['spine.002']]
bones['spine.003'] = bone.name
bone = arm.edit_bones.new('belly.C')
bone.head[:] = 0.0000, -0.0081, 0.1829
bone.tail[:] = 0.0000, -0.0081, 0.1383
bone.roll = 6.2832
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine.002']]
bones['belly.C'] = bone.name
bone = arm.edit_bones.new('shin.L')
bone.head[:] = 0.0293, 0.1074, 0.1682
bone.tail[:] = 0.0293, 0.1684, 0.1073
bone.roll = 3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['thigh.L']]
bones['shin.L'] = bone.name
bone = arm.edit_bones.new('shin.R')
bone.head[:] = -0.0293, 0.1074, 0.1682
bone.tail[:] = -0.0293, 0.1684, 0.1073
bone.roll = -3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['thigh.R']]
bones['shin.R'] = bone.name
bone = arm.edit_bones.new('spine.004')
bone.head[:] = 0.0000, -0.1571, 0.2355
bone.tail[:] = 0.0000, -0.1736, 0.2395
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['spine.003']]
bones['spine.004'] = bone.name
bone = arm.edit_bones.new('Breast.C')
bone.head[:] = 0.0000, -0.1169, 0.1866
bone.tail[:] = 0.0000, -0.1279, 0.1479
bone.roll = -6.2832
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine.003']]
bones['Breast.C'] = bone.name
bone = arm.edit_bones.new('shoulder.L')
bone.head[:] = 0.0111, -0.0973, 0.2645
bone.tail[:] = 0.0346, -0.1427, 0.2105
bone.roll = 2.2707
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine.003']]
bones['shoulder.L'] = bone.name
bone = arm.edit_bones.new('shoulder.R')
bone.head[:] = -0.0111, -0.0973, 0.2645
bone.tail[:] = -0.0346, -0.1427, 0.2105
bone.roll = -2.2707
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine.003']]
bones['shoulder.R'] = bone.name
bone = arm.edit_bones.new('foot.L')
bone.head[:] = 0.0293, 0.1684, 0.1073
bone.tail[:] = 0.0293, 0.1530, 0.0167
bone.roll = 3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['shin.L']]
bones['foot.L'] = bone.name
bone = arm.edit_bones.new('foot.R')
bone.head[:] = -0.0293, 0.1684, 0.1073
bone.tail[:] = -0.0293, 0.1530, 0.0167
bone.roll = -3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['shin.R']]
bones['foot.R'] = bone.name
bone = arm.edit_bones.new('spine.005')
bone.head[:] = 0.0000, -0.1736, 0.2395
bone.tail[:] = 0.0000, -0.1860, 0.2445
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['spine.004']]
bones['spine.005'] = bone.name
bone = arm.edit_bones.new('upper_arm.L')
bone.head[:] = 0.0313, -0.1292, 0.2018
bone.tail[:] = 0.0313, -0.0998, 0.1235
bone.roll = 3.1416
bone.use_connect = False
bone.parent = arm.edit_bones[bones['shoulder.L']]
bones['upper_arm.L'] = bone.name
bone = arm.edit_bones.new('upper_arm.R')
bone.head[:] = -0.0313, -0.1292, 0.2018
bone.tail[:] = -0.0313, -0.0998, 0.1235
bone.roll = -3.1416
bone.use_connect = False
bone.parent = arm.edit_bones[bones['shoulder.R']]
bones['upper_arm.R'] = bone.name
bone = arm.edit_bones.new('r_toe.L')
bone.head[:] = 0.0293, 0.1530, 0.0167
bone.tail[:] = 0.0293, 0.1334, 0.0039
bone.roll = 3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['foot.L']]
bones['r_toe.L'] = bone.name
bone = arm.edit_bones.new('r_toe.R')
bone.head[:] = -0.0293, 0.1530, 0.0167
bone.tail[:] = -0.0293, 0.1334, 0.0039
bone.roll = -3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['foot.R']]
bones['r_toe.R'] = bone.name
bone = arm.edit_bones.new('spine.006')
bone.head[:] = 0.0000, -0.1860, 0.2445
bone.tail[:] = 0.0000, -0.2599, 0.2789
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['spine.005']]
bones['spine.006'] = bone.name
bone = arm.edit_bones.new('forearm.L')
bone.head[:] = 0.0313, -0.0998, 0.1235
bone.tail[:] = 0.0313, -0.1178, 0.0248
bone.roll = 3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['upper_arm.L']]
bones['forearm.L'] = bone.name
bone = arm.edit_bones.new('forearm.R')
bone.head[:] = -0.0313, -0.0998, 0.1235
bone.tail[:] = -0.0313, -0.1178, 0.0248
bone.roll = -3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['upper_arm.R']]
bones['forearm.R'] = bone.name
bone = arm.edit_bones.new('r_palm.001.L')
bone.head[:] = 0.0220, 0.1457, 0.0123
bone.tail[:] = 0.0215, 0.1401, 0.0123
bone.roll = 0.0014
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.L']]
bones['r_palm.001.L'] = bone.name
bone = arm.edit_bones.new('r_palm.002.L')
bone.head[:] = 0.0297, 0.1458, 0.0123
bone.tail[:] = 0.0311, 0.1393, 0.0123
bone.roll = -0.0005
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.L']]
bones['r_palm.002.L'] = bone.name
bone = arm.edit_bones.new('r_palm.003.L')
bone.head[:] = 0.0363, 0.1473, 0.0123
bone.tail[:] = 0.0376, 0.1407, 0.0123
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.L']]
bones['r_palm.003.L'] = bone.name
bone = arm.edit_bones.new('r_palm.004.L')
bone.head[:] = 0.0449, 0.1501, 0.0123
bone.tail[:] = 0.0466, 0.1479, 0.0123
bone.roll = -0.0004
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.L']]
bones['r_palm.004.L'] = bone.name
bone = arm.edit_bones.new('r_palm.001.R')
bone.head[:] = -0.0220, 0.1457, 0.0123
bone.tail[:] = -0.0215, 0.1401, 0.0123
bone.roll = -0.0014
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.R']]
bones['r_palm.001.R'] = bone.name
bone = arm.edit_bones.new('r_palm.002.R')
bone.head[:] = -0.0297, 0.1458, 0.0123
bone.tail[:] = -0.0311, 0.1393, 0.0123
bone.roll = 0.0005
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.R']]
bones['r_palm.002.R'] = bone.name
bone = arm.edit_bones.new('r_palm.003.R')
bone.head[:] = -0.0363, 0.1473, 0.0123
bone.tail[:] = -0.0376, 0.1407, 0.0123
bone.roll = -0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.R']]
bones['r_palm.003.R'] = bone.name
bone = arm.edit_bones.new('r_palm.004.R')
bone.head[:] = -0.0449, 0.1501, 0.0123
bone.tail[:] = -0.0466, 0.1479, 0.0123
bone.roll = 0.0004
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_toe.R']]
bones['r_palm.004.R'] = bone.name
bone = arm.edit_bones.new('face')
bone.head[:] = 0.0000, -0.1860, 0.2445
bone.tail[:] = 0.0000, -0.1860, 0.3056
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['spine.006']]
bones['face'] = bone.name
bone = arm.edit_bones.new('hand.L')
bone.head[:] = 0.0313, -0.1178, 0.0248
bone.tail[:] = 0.0313, -0.1261, 0.0108
bone.roll = 3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['forearm.L']]
bones['hand.L'] = bone.name
bone = arm.edit_bones.new('hand.R')
bone.head[:] = -0.0313, -0.1178, 0.0248
bone.tail[:] = -0.0313, -0.1261, 0.0108
bone.roll = -3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['forearm.R']]
bones['hand.R'] = bone.name
bone = arm.edit_bones.new('r_index.001.L')
bone.head[:] = 0.0215, 0.1367, 0.0087
bone.tail[:] = 0.0217, 0.1325, 0.0070
bone.roll = -0.3427
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.001.L']]
bones['r_index.001.L'] = bone.name
bone = arm.edit_bones.new('r_middle.001.L')
bone.head[:] = 0.0311, 0.1358, 0.0117
bone.tail[:] = 0.0324, 0.1297, 0.0092
bone.roll = -1.0029
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.002.L']]
bones['r_middle.001.L'] = bone.name
bone = arm.edit_bones.new('r_ring.001.L')
bone.head[:] = 0.0376, 0.1372, 0.0117
bone.tail[:] = 0.0389, 0.1311, 0.0092
bone.roll = -1.0029
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.003.L']]
bones['r_ring.001.L'] = bone.name
bone = arm.edit_bones.new('r_pinky.001.L')
bone.head[:] = 0.0466, 0.1444, 0.0083
bone.tail[:] = 0.0476, 0.1412, 0.0074
bone.roll = -1.7551
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.004.L']]
bones['r_pinky.001.L'] = bone.name
bone = arm.edit_bones.new('r_index.001.R')
bone.head[:] = -0.0215, 0.1367, 0.0087
bone.tail[:] = -0.0217, 0.1325, 0.0070
bone.roll = 0.3427
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.001.R']]
bones['r_index.001.R'] = bone.name
bone = arm.edit_bones.new('r_middle.001.R')
bone.head[:] = -0.0311, 0.1358, 0.0117
bone.tail[:] = -0.0324, 0.1297, 0.0092
bone.roll = 1.0029
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.002.R']]
bones['r_middle.001.R'] = bone.name
bone = arm.edit_bones.new('r_ring.001.R')
bone.head[:] = -0.0376, 0.1372, 0.0117
bone.tail[:] = -0.0389, 0.1311, 0.0092
bone.roll = 1.0029
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.003.R']]
bones['r_ring.001.R'] = bone.name
bone = arm.edit_bones.new('r_pinky.001.R')
bone.head[:] = -0.0466, 0.1444, 0.0083
bone.tail[:] = -0.0476, 0.1412, 0.0074
bone.roll = 1.7551
bone.use_connect = False
bone.parent = arm.edit_bones[bones['r_palm.004.R']]
bones['r_pinky.001.R'] = bone.name
bone = arm.edit_bones.new('nose')
bone.head[:] = 0.0000, -0.2709, 0.2463
bone.tail[:] = 0.0000, -0.2705, 0.2315
bone.roll = -0.0018
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['nose'] = bone.name
bone = arm.edit_bones.new('lip.T.L')
bone.head[:] = 0.0000, -0.2762, 0.2076
bone.tail[:] = 0.0142, -0.2683, 0.2053
bone.roll = 0.0739
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['lip.T.L'] = bone.name
bone = arm.edit_bones.new('lip.B.L')
bone.head[:] = 0.0000, -0.2748, 0.2025
bone.tail[:] = 0.0102, -0.2676, 0.2025
bone.roll = 0.0154
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['lip.B.L'] = bone.name
bone = arm.edit_bones.new('jaw')
bone.head[:] = 0.0000, -0.2126, 0.2015
bone.tail[:] = 0.0000, -0.2524, 0.1977
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['jaw'] = bone.name
bone = arm.edit_bones.new('ear.L')
bone.head[:] = 0.0361, -0.2279, 0.2662
bone.tail[:] = 0.0259, -0.2360, 0.2749
bone.roll = -2.7956
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['ear.L'] = bone.name
bone = arm.edit_bones.new('ear.R')
bone.head[:] = -0.0361, -0.2279, 0.2662
bone.tail[:] = -0.0259, -0.2360, 0.2749
bone.roll = 2.7956
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['ear.R'] = bone.name
bone = arm.edit_bones.new('lip.T.R')
bone.head[:] = 0.0000, -0.2762, 0.2076
bone.tail[:] = -0.0142, -0.2683, 0.2053
bone.roll = -0.0739
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['lip.T.R'] = bone.name
bone = arm.edit_bones.new('lip.B.R')
bone.head[:] = 0.0000, -0.2748, 0.2025
bone.tail[:] = -0.0102, -0.2676, 0.2025
bone.roll = -0.0154
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['lip.B.R'] = bone.name
bone = arm.edit_bones.new('brow.B.L')
bone.head[:] = 0.0450, -0.2472, 0.2375
bone.tail[:] = 0.0336, -0.2577, 0.2472
bone.roll = -0.4810
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['brow.B.L'] = bone.name
bone = arm.edit_bones.new('lid.T.L')
bone.head[:] = 0.0398, -0.2525, 0.2396
bone.tail[:] = 0.0327, -0.2600, 0.2432
bone.roll = -0.4405
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['lid.T.L'] = bone.name
bone = arm.edit_bones.new('brow.B.R')
bone.head[:] = -0.0450, -0.2472, 0.2375
bone.tail[:] = -0.0336, -0.2577, 0.2472
bone.roll = 0.4810
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['brow.B.R'] = bone.name
bone = arm.edit_bones.new('lid.T.R')
bone.head[:] = -0.0398, -0.2525, 0.2396
bone.tail[:] = -0.0327, -0.2600, 0.2432
bone.roll = 0.4405
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['lid.T.R'] = bone.name
bone = arm.edit_bones.new('forehead.L')
bone.head[:] = 0.0103, -0.2600, 0.2669
bone.tail[:] = 0.0097, -0.2694, 0.2527
bone.roll = 1.6514
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['forehead.L'] = bone.name
bone = arm.edit_bones.new('forehead.R')
bone.head[:] = -0.0103, -0.2600, 0.2669
bone.tail[:] = -0.0097, -0.2694, 0.2527
bone.roll = -1.6514
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['forehead.R'] = bone.name
bone = arm.edit_bones.new('eye.L')
bone.head[:] = 0.0170, -0.2441, 0.2385
bone.tail[:] = 0.0170, -0.2738, 0.2385
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['eye.L'] = bone.name
bone = arm.edit_bones.new('eye.R')
bone.head[:] = -0.0170, -0.2441, 0.2385
bone.tail[:] = -0.0170, -0.2738, 0.2385
bone.roll = -0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['eye.R'] = bone.name
bone = arm.edit_bones.new('cheek.T.L')
bone.head[:] = 0.0450, -0.2472, 0.2375
bone.tail[:] = 0.0308, -0.2584, 0.2187
bone.roll = 0.3924
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['cheek.T.L'] = bone.name
bone = arm.edit_bones.new('cheek.T.R')
bone.head[:] = -0.0450, -0.2472, 0.2375
bone.tail[:] = -0.0308, -0.2584, 0.2187
bone.roll = -0.3924
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['cheek.T.R'] = bone.name
bone = arm.edit_bones.new('teeth.T')
bone.head[:] = 0.0000, -0.2724, 0.2129
bone.tail[:] = 0.0000, -0.2477, 0.2129
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['teeth.T'] = bone.name
bone = arm.edit_bones.new('teeth.B')
bone.head[:] = 0.0000, -0.2709, 0.2076
bone.tail[:] = 0.0000, -0.2463, 0.2076
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['teeth.B'] = bone.name
bone = arm.edit_bones.new('tongue')
bone.head[:] = 0.0000, -0.2693, 0.2091
bone.tail[:] = 0.0000, -0.2610, 0.2098
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['face']]
bones['tongue'] = bone.name
bone = arm.edit_bones.new('f_toe.L')
bone.head[:] = 0.0313, -0.1261, 0.0108
bone.tail[:] = 0.0313, -0.1416, 0.0009
bone.roll = -3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['hand.L']]
bones['f_toe.L'] = bone.name
bone = arm.edit_bones.new('f_toe.R')
bone.head[:] = -0.0313, -0.1261, 0.0108
bone.tail[:] = -0.0313, -0.1416, 0.0009
bone.roll = 3.1416
bone.use_connect = True
bone.parent = arm.edit_bones[bones['hand.R']]
bones['f_toe.R'] = bone.name
bone = arm.edit_bones.new('r_index.002.L')
bone.head[:] = 0.0217, 0.1325, 0.0070
bone.tail[:] = 0.0221, 0.1271, 0.0038
bone.roll = -0.2465
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_index.001.L']]
bones['r_index.002.L'] = bone.name
bone = arm.edit_bones.new('r_middle.002.L')
bone.head[:] = 0.0324, 0.1297, 0.0092
bone.tail[:] = 0.0343, 0.1210, 0.0039
bone.roll = -0.7479
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_middle.001.L']]
bones['r_middle.002.L'] = bone.name
bone = arm.edit_bones.new('r_ring.002.L')
bone.head[:] = 0.0389, 0.1311, 0.0092
bone.tail[:] = 0.0407, 0.1229, 0.0042
bone.roll = -0.7479
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_ring.001.L']]
bones['r_ring.002.L'] = bone.name
bone = arm.edit_bones.new('r_pinky.002.L')
bone.head[:] = 0.0476, 0.1412, 0.0074
bone.tail[:] = 0.0494, 0.1351, 0.0032
bone.roll = -0.8965
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_pinky.001.L']]
bones['r_pinky.002.L'] = bone.name
bone = arm.edit_bones.new('r_index.002.R')
bone.head[:] = -0.0217, 0.1325, 0.0070
bone.tail[:] = -0.0221, 0.1271, 0.0038
bone.roll = 0.2465
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_index.001.R']]
bones['r_index.002.R'] = bone.name
bone = arm.edit_bones.new('r_middle.002.R')
bone.head[:] = -0.0324, 0.1297, 0.0092
bone.tail[:] = -0.0343, 0.1210, 0.0039
bone.roll = 0.7479
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_middle.001.R']]
bones['r_middle.002.R'] = bone.name
bone = arm.edit_bones.new('r_ring.002.R')
bone.head[:] = -0.0389, 0.1311, 0.0092
bone.tail[:] = -0.0407, 0.1229, 0.0042
bone.roll = 0.7479
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_ring.001.R']]
bones['r_ring.002.R'] = bone.name
bone = arm.edit_bones.new('r_pinky.002.R')
bone.head[:] = -0.0476, 0.1412, 0.0074
bone.tail[:] = -0.0494, 0.1351, 0.0032
bone.roll = 0.8965
bone.use_connect = True
bone.parent = arm.edit_bones[bones['r_pinky.001.R']]
bones['r_pinky.002.R'] = bone.name
bone = arm.edit_bones.new('nose.001')
bone.head[:] = 0.0000, -0.2705, 0.2315
bone.tail[:] = 0.0000, -0.2804, 0.2205
bone.roll = 0.0253
bone.use_connect = True
bone.parent = arm.edit_bones[bones['nose']]
bones['nose.001'] = bone.name
bone = arm.edit_bones.new('lip.T.L.001')
bone.head[:] = 0.0142, -0.2683, 0.2053
bone.tail[:] = 0.0314, -0.2428, 0.2103
bone.roll = -0.0306
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lip.T.L']]
bones['lip.T.L.001'] = bone.name
bone = arm.edit_bones.new('lip.B.L.001')
bone.head[:] = 0.0102, -0.2676, 0.2025
bone.tail[:] = 0.0314, -0.2428, 0.2103
bone.roll = 0.1360
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lip.B.L']]
bones['lip.B.L.001'] = bone.name
bone = arm.edit_bones.new('chin')
bone.head[:] = 0.0000, -0.2524, 0.1977
bone.tail[:] = 0.0000, -0.2681, 0.1948
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['jaw']]
bones['chin'] = bone.name
bone = arm.edit_bones.new('ear.L.001')
bone.head[:] = 0.0259, -0.2360, 0.2749
bone.tail[:] = 0.0367, -0.2346, 0.2792
bone.roll = 1.1038
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.L']]
bones['ear.L.001'] = bone.name
bone = arm.edit_bones.new('ear.R.001')
bone.head[:] = -0.0259, -0.2360, 0.2749
bone.tail[:] = -0.0367, -0.2346, 0.2792
bone.roll = -1.1038
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.R']]
bones['ear.R.001'] = bone.name
bone = arm.edit_bones.new('lip.T.R.001')
bone.head[:] = -0.0142, -0.2683, 0.2053
bone.tail[:] = -0.0314, -0.2428, 0.2103
bone.roll = 0.0306
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lip.T.R']]
bones['lip.T.R.001'] = bone.name
bone = arm.edit_bones.new('lip.B.R.001')
bone.head[:] = -0.0102, -0.2676, 0.2025
bone.tail[:] = -0.0314, -0.2428, 0.2103
bone.roll = -0.1360
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lip.B.R']]
bones['lip.B.R.001'] = bone.name
bone = arm.edit_bones.new('brow.B.L.001')
bone.head[:] = 0.0336, -0.2577, 0.2472
bone.tail[:] = 0.0242, -0.2642, 0.2478
bone.roll = -0.0715
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.B.L']]
bones['brow.B.L.001'] = bone.name
bone = arm.edit_bones.new('lid.T.L.001')
bone.head[:] = 0.0327, -0.2600, 0.2432
bone.tail[:] = 0.0236, -0.2656, 0.2440
bone.roll = 0.1058
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.L']]
bones['lid.T.L.001'] = bone.name
bone = arm.edit_bones.new('brow.B.R.001')
bone.head[:] = -0.0336, -0.2577, 0.2472
bone.tail[:] = -0.0242, -0.2642, 0.2478
bone.roll = 0.0715
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.B.R']]
bones['brow.B.R.001'] = bone.name
bone = arm.edit_bones.new('lid.T.R.001')
bone.head[:] = -0.0327, -0.2600, 0.2432
bone.tail[:] = -0.0236, -0.2656, 0.2440
bone.roll = -0.1058
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.R']]
bones['lid.T.R.001'] = bone.name
bone = arm.edit_bones.new('forehead.L.001')
bone.head[:] = 0.0287, -0.2477, 0.2649
bone.tail[:] = 0.0241, -0.2601, 0.2567
bone.roll = 2.1575
bone.use_connect = False
bone.parent = arm.edit_bones[bones['forehead.L']]
bones['forehead.L.001'] = bone.name
bone = arm.edit_bones.new('forehead.R.001')
bone.head[:] = -0.0287, -0.2477, 0.2649
bone.tail[:] = -0.0241, -0.2601, 0.2567
bone.roll = -2.1575
bone.use_connect = False
bone.parent = arm.edit_bones[bones['forehead.R']]
bones['forehead.R.001'] = bone.name
bone = arm.edit_bones.new('cheek.T.L.001')
bone.head[:] = 0.0308, -0.2584, 0.2187
bone.tail[:] = 0.0121, -0.2695, 0.2220
bone.roll = -0.5048
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.T.L']]
bones['cheek.T.L.001'] = bone.name
bone = arm.edit_bones.new('cheek.T.R.001')
bone.head[:] = -0.0308, -0.2584, 0.2187
bone.tail[:] = -0.0121, -0.2695, 0.2220
bone.roll = 0.5048
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.T.R']]
bones['cheek.T.R.001'] = bone.name
bone = arm.edit_bones.new('tongue.001')
bone.head[:] = 0.0000, -0.2610, 0.2098
bone.tail[:] = 0.0000, -0.2461, 0.2100
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['tongue']]
bones['tongue.001'] = bone.name
bone = arm.edit_bones.new('f_palm.004.L')
bone.head[:] = 0.0393, -0.1278, 0.0100
bone.tail[:] = 0.0406, -0.1304, 0.0100
bone.roll = -0.0006
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.L']]
bones['f_palm.004.L'] = bone.name
bone = arm.edit_bones.new('f_palm.001.L')
bone.head[:] = 0.0216, -0.1278, 0.0100
bone.tail[:] = 0.0199, -0.1331, 0.0100
bone.roll = 0.0004
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.L']]
bones['f_palm.001.L'] = bone.name
bone = arm.edit_bones.new('f_palm.002.L')
bone.head[:] = 0.0273, -0.1278, 0.0100
bone.tail[:] = 0.0273, -0.1345, 0.0100
bone.roll = 3.1416
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.L']]
bones['f_palm.002.L'] = bone.name
bone = arm.edit_bones.new('f_palm.003.L')
bone.head[:] = 0.0341, -0.1278, 0.0100
bone.tail[:] = 0.0340, -0.1345, 0.0100
bone.roll = 0.0101
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.L']]
bones['f_palm.003.L'] = bone.name
bone = arm.edit_bones.new('f_palm.004.R')
bone.head[:] = -0.0393, -0.1278, 0.0100
bone.tail[:] = -0.0406, -0.1304, 0.0100
bone.roll = 0.0006
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.R']]
bones['f_palm.004.R'] = bone.name
bone = arm.edit_bones.new('f_palm.001.R')
bone.head[:] = -0.0216, -0.1278, 0.0100
bone.tail[:] = -0.0199, -0.1331, 0.0100
bone.roll = -0.0004
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.R']]
bones['f_palm.001.R'] = bone.name
bone = arm.edit_bones.new('f_palm.002.R')
bone.head[:] = -0.0273, -0.1278, 0.0100
bone.tail[:] = -0.0273, -0.1345, 0.0100
bone.roll = -3.1416
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.R']]
bones['f_palm.002.R'] = bone.name
bone = arm.edit_bones.new('f_palm.003.R')
bone.head[:] = -0.0341, -0.1278, 0.0100
bone.tail[:] = -0.0340, -0.1345, 0.0100
bone.roll = -0.0101
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_toe.R']]
bones['f_palm.003.R'] = bone.name
bone = arm.edit_bones.new('nose.002')
bone.head[:] = 0.0000, -0.2804, 0.2205
bone.tail[:] = 0.0000, -0.2787, 0.2155
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['nose.001']]
bones['nose.002'] = bone.name
bone = arm.edit_bones.new('chin.001')
bone.head[:] = 0.0000, -0.2681, 0.1948
bone.tail[:] = 0.0000, -0.2749, 0.2015
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['chin']]
bones['chin.001'] = bone.name
bone = arm.edit_bones.new('ear.L.002')
bone.head[:] = 0.0367, -0.2346, 0.2792
bone.tail[:] = 0.0513, -0.2371, 0.2879
bone.roll = 1.6702
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.L.001']]
bones['ear.L.002'] = bone.name
bone = arm.edit_bones.new('ear.R.002')
bone.head[:] = -0.0367, -0.2346, 0.2792
bone.tail[:] = -0.0513, -0.2371, 0.2879
bone.roll = -1.6702
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.R.001']]
bones['ear.R.002'] = bone.name
bone = arm.edit_bones.new('brow.B.L.002')
bone.head[:] = 0.0242, -0.2642, 0.2478
bone.tail[:] = 0.0131, -0.2694, 0.2432
bone.roll = -0.1515
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.B.L.001']]
bones['brow.B.L.002'] = bone.name
bone = arm.edit_bones.new('lid.T.L.002')
bone.head[:] = 0.0236, -0.2656, 0.2440
bone.tail[:] = 0.0137, -0.2665, 0.2401
bone.roll = -0.1882
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.L.001']]
bones['lid.T.L.002'] = bone.name
bone = arm.edit_bones.new('brow.B.R.002')
bone.head[:] = -0.0242, -0.2642, 0.2478
bone.tail[:] = -0.0131, -0.2694, 0.2432
bone.roll = 0.1515
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.B.R.001']]
bones['brow.B.R.002'] = bone.name
bone = arm.edit_bones.new('lid.T.R.002')
bone.head[:] = -0.0236, -0.2656, 0.2440
bone.tail[:] = -0.0137, -0.2665, 0.2401
bone.roll = 0.1882
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.R.001']]
bones['lid.T.R.002'] = bone.name
bone = arm.edit_bones.new('forehead.L.002')
bone.head[:] = 0.0405, -0.2354, 0.2607
bone.tail[:] = 0.0402, -0.2481, 0.2487
bone.roll = 0.5185
bone.use_connect = False
bone.parent = arm.edit_bones[bones['forehead.L.001']]
bones['forehead.L.002'] = bone.name
bone = arm.edit_bones.new('forehead.R.002')
bone.head[:] = -0.0405, -0.2354, 0.2607
bone.tail[:] = -0.0402, -0.2481, 0.2487
bone.roll = -0.5185
bone.use_connect = False
bone.parent = arm.edit_bones[bones['forehead.R.001']]
bones['forehead.R.002'] = bone.name
bone = arm.edit_bones.new('nose.L')
bone.head[:] = 0.0121, -0.2695, 0.2220
bone.tail[:] = 0.0062, -0.2742, 0.2210
bone.roll = 2.5249
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.T.L.001']]
bones['nose.L'] = bone.name
bone = arm.edit_bones.new('nose.R')
bone.head[:] = -0.0121, -0.2695, 0.2220
bone.tail[:] = -0.0062, -0.2742, 0.2210
bone.roll = -2.5249
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.T.R.001']]
bones['nose.R'] = bone.name
bone = arm.edit_bones.new('tongue.002')
bone.head[:] = 0.0000, -0.2461, 0.2100
bone.tail[:] = 0.0000, -0.2309, 0.2083
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['tongue.001']]
bones['tongue.002'] = bone.name
bone = arm.edit_bones.new('f_pinky.001.L')
bone.head[:] = 0.0406, -0.1304, 0.0074
bone.tail[:] = 0.0408, -0.1337, 0.0065
bone.roll = -0.6234
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.004.L']]
bones['f_pinky.001.L'] = bone.name
bone = arm.edit_bones.new('f_index.001.L')
bone.head[:] = 0.0199, -0.1331, 0.0077
bone.tail[:] = 0.0193, -0.1372, 0.0060
bone.roll = 0.7154
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.001.L']]
bones['f_index.001.L'] = bone.name
bone = arm.edit_bones.new('f_middle.001.L')
bone.head[:] = 0.0273, -0.1345, 0.0107
bone.tail[:] = 0.0273, -0.1407, 0.0082
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.002.L']]
bones['f_middle.001.L'] = bone.name
bone = arm.edit_bones.new('f_ring.001.L')
bone.head[:] = 0.0340, -0.1345, 0.0107
bone.tail[:] = 0.0340, -0.1407, 0.0082
bone.roll = 0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.003.L']]
bones['f_ring.001.L'] = bone.name
bone = arm.edit_bones.new('f_pinky.001.R')
bone.head[:] = -0.0406, -0.1304, 0.0074
bone.tail[:] = -0.0408, -0.1337, 0.0065
bone.roll = 0.6234
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.004.R']]
bones['f_pinky.001.R'] = bone.name
bone = arm.edit_bones.new('f_index.001.R')
bone.head[:] = -0.0199, -0.1331, 0.0077
bone.tail[:] = -0.0193, -0.1372, 0.0060
bone.roll = -0.7154
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.001.R']]
bones['f_index.001.R'] = bone.name
bone = arm.edit_bones.new('f_middle.001.R')
bone.head[:] = -0.0273, -0.1345, 0.0107
bone.tail[:] = -0.0273, -0.1407, 0.0082
bone.roll = -0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.002.R']]
bones['f_middle.001.R'] = bone.name
bone = arm.edit_bones.new('f_ring.001.R')
bone.head[:] = -0.0340, -0.1345, 0.0107
bone.tail[:] = -0.0340, -0.1407, 0.0082
bone.roll = -0.0000
bone.use_connect = False
bone.parent = arm.edit_bones[bones['f_palm.003.R']]
bones['f_ring.001.R'] = bone.name
bone = arm.edit_bones.new('nose.003')
bone.head[:] = 0.0000, -0.2787, 0.2155
bone.tail[:] = 0.0000, -0.2788, 0.2123
bone.roll = -0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['nose.002']]
bones['nose.003'] = bone.name
bone = arm.edit_bones.new('ear.L.003')
bone.head[:] = 0.0513, -0.2371, 0.2879
bone.tail[:] = 0.0498, -0.2277, 0.2690
bone.roll = -2.2767
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.L.002']]
bones['ear.L.003'] = bone.name
bone = arm.edit_bones.new('ear.R.003')
bone.head[:] = -0.0513, -0.2371, 0.2879
bone.tail[:] = -0.0498, -0.2277, 0.2690
bone.roll = 2.2767
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.R.002']]
bones['ear.R.003'] = bone.name
bone = arm.edit_bones.new('brow.B.L.003')
bone.head[:] = 0.0131, -0.2694, 0.2432
bone.tail[:] = 0.0086, -0.2691, 0.2358
bone.roll = -0.2157
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.B.L.002']]
bones['brow.B.L.003'] = bone.name
bone = arm.edit_bones.new('lid.T.L.003')
bone.head[:] = 0.0137, -0.2665, 0.2401
bone.tail[:] = 0.0097, -0.2657, 0.2291
bone.roll = -0.4253
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.L.002']]
bones['lid.T.L.003'] = bone.name
bone = arm.edit_bones.new('brow.B.R.003')
bone.head[:] = -0.0131, -0.2694, 0.2432
bone.tail[:] = -0.0086, -0.2691, 0.2358
bone.roll = 0.2157
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.B.R.002']]
bones['brow.B.R.003'] = bone.name
bone = arm.edit_bones.new('lid.T.R.003')
bone.head[:] = -0.0137, -0.2665, 0.2401
bone.tail[:] = -0.0097, -0.2657, 0.2291
bone.roll = 0.4253
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.R.002']]
bones['lid.T.R.003'] = bone.name
bone = arm.edit_bones.new('temple.L')
bone.head[:] = 0.0367, -0.2123, 0.2525
bone.tail[:] = 0.0380, -0.2135, 0.2277
bone.roll = -0.0789
bone.use_connect = False
bone.parent = arm.edit_bones[bones['forehead.L.002']]
bones['temple.L'] = bone.name
bone = arm.edit_bones.new('temple.R')
bone.head[:] = -0.0367, -0.2123, 0.2525
bone.tail[:] = -0.0380, -0.2135, 0.2277
bone.roll = 0.0789
bone.use_connect = False
bone.parent = arm.edit_bones[bones['forehead.R.002']]
bones['temple.R'] = bone.name
bone = arm.edit_bones.new('nose.L.001')
bone.head[:] = 0.0062, -0.2742, 0.2210
bone.tail[:] = 0.0000, -0.2804, 0.2205
bone.roll = 0.1646
bone.use_connect = True
bone.parent = arm.edit_bones[bones['nose.L']]
bones['nose.L.001'] = bone.name
bone = arm.edit_bones.new('nose.R.001')
bone.head[:] = -0.0062, -0.2742, 0.2210
bone.tail[:] = 0.0000, -0.2804, 0.2205
bone.roll = -0.1646
bone.use_connect = True
bone.parent = arm.edit_bones[bones['nose.R']]
bones['nose.R.001'] = bone.name
bone = arm.edit_bones.new('f_pinky.002.L')
bone.head[:] = 0.0408, -0.1337, 0.0065
bone.tail[:] = 0.0413, -0.1400, 0.0023
bone.roll = -0.2560
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_pinky.001.L']]
bones['f_pinky.002.L'] = bone.name
bone = arm.edit_bones.new('f_index.002.L')
bone.head[:] = 0.0193, -0.1372, 0.0060
bone.tail[:] = 0.0186, -0.1427, 0.0028
bone.roll = 0.5229
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_index.001.L']]
bones['f_index.002.L'] = bone.name
bone = arm.edit_bones.new('f_middle.002.L')
bone.head[:] = 0.0273, -0.1407, 0.0082
bone.tail[:] = 0.0273, -0.1496, 0.0030
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_middle.001.L']]
bones['f_middle.002.L'] = bone.name
bone = arm.edit_bones.new('f_ring.002.L')
bone.head[:] = 0.0340, -0.1407, 0.0082
bone.tail[:] = 0.0340, -0.1491, 0.0033
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_ring.001.L']]
bones['f_ring.002.L'] = bone.name
bone = arm.edit_bones.new('f_pinky.002.R')
bone.head[:] = -0.0408, -0.1337, 0.0065
bone.tail[:] = -0.0413, -0.1400, 0.0023
bone.roll = 0.2560
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_pinky.001.R']]
bones['f_pinky.002.R'] = bone.name
bone = arm.edit_bones.new('f_index.002.R')
bone.head[:] = -0.0193, -0.1372, 0.0060
bone.tail[:] = -0.0186, -0.1427, 0.0028
bone.roll = -0.5229
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_index.001.R']]
bones['f_index.002.R'] = bone.name
bone = arm.edit_bones.new('f_middle.002.R')
bone.head[:] = -0.0273, -0.1407, 0.0082
bone.tail[:] = -0.0273, -0.1496, 0.0030
bone.roll = -0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_middle.001.R']]
bones['f_middle.002.R'] = bone.name
bone = arm.edit_bones.new('f_ring.002.R')
bone.head[:] = -0.0340, -0.1407, 0.0082
bone.tail[:] = -0.0340, -0.1491, 0.0033
bone.roll = -0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['f_ring.001.R']]
bones['f_ring.002.R'] = bone.name
bone = arm.edit_bones.new('nose.004')
bone.head[:] = 0.0000, -0.2788, 0.2123
bone.tail[:] = 0.0000, -0.2785, 0.2091
bone.roll = 0.0000
bone.use_connect = True
bone.parent = arm.edit_bones[bones['nose.003']]
bones['nose.004'] = bone.name
bone = arm.edit_bones.new('ear.L.004')
bone.head[:] = 0.0498, -0.2277, 0.2690
bone.tail[:] = 0.0361, -0.2279, 0.2662
bone.roll = -3.8181
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.L.003']]
bones['ear.L.004'] = bone.name
bone = arm.edit_bones.new('ear.R.004')
bone.head[:] = -0.0498, -0.2277, 0.2690
bone.tail[:] = -0.0361, -0.2279, 0.2662
bone.roll = 3.8181
bone.use_connect = True
bone.parent = arm.edit_bones[bones['ear.R.003']]
bones['ear.R.004'] = bone.name
bone = arm.edit_bones.new('lid.B.L')
bone.head[:] = 0.0097, -0.2657, 0.2291
bone.tail[:] = 0.0150, -0.2661, 0.2277
bone.roll = 0.0693
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.L.003']]
bones['lid.B.L'] = bone.name
bone = arm.edit_bones.new('lid.B.R')
bone.head[:] = -0.0097, -0.2657, 0.2291
bone.tail[:] = -0.0150, -0.2661, 0.2277
bone.roll = -0.0693
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.T.R.003']]
bones['lid.B.R'] = bone.name
bone = arm.edit_bones.new('jaw.L')
bone.head[:] = 0.0380, -0.2135, 0.2277
bone.tail[:] = 0.0284, -0.2162, 0.2076
bone.roll = 0.1964
bone.use_connect = True
bone.parent = arm.edit_bones[bones['temple.L']]
bones['jaw.L'] = bone.name
bone = arm.edit_bones.new('jaw.R')
bone.head[:] = -0.0380, -0.2135, 0.2277
bone.tail[:] = -0.0284, -0.2162, 0.2076
bone.roll = -0.1964
bone.use_connect = True
bone.parent = arm.edit_bones[bones['temple.R']]
bones['jaw.R'] = bone.name
bone = arm.edit_bones.new('lid.B.L.001')
bone.head[:] = 0.0150, -0.2661, 0.2277
bone.tail[:] = 0.0221, -0.2652, 0.2262
bone.roll = 0.1759
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.B.L']]
bones['lid.B.L.001'] = bone.name
bone = arm.edit_bones.new('lid.B.R.001')
bone.head[:] = -0.0150, -0.2661, 0.2277
bone.tail[:] = -0.0221, -0.2652, 0.2262
bone.roll = -0.1759
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.B.R']]
bones['lid.B.R.001'] = bone.name
bone = arm.edit_bones.new('jaw.L.001')
bone.head[:] = 0.0284, -0.2162, 0.2076
bone.tail[:] = 0.0235, -0.2371, 0.2014
bone.roll = -0.0005
bone.use_connect = True
bone.parent = arm.edit_bones[bones['jaw.L']]
bones['jaw.L.001'] = bone.name
bone = arm.edit_bones.new('jaw.R.001')
bone.head[:] = -0.0284, -0.2162, 0.2076
bone.tail[:] = -0.0235, -0.2371, 0.2014
bone.roll = 0.0005
bone.use_connect = True
bone.parent = arm.edit_bones[bones['jaw.R']]
bones['jaw.R.001'] = bone.name
bone = arm.edit_bones.new('lid.B.L.002')
bone.head[:] = 0.0221, -0.2652, 0.2262
bone.tail[:] = 0.0333, -0.2602, 0.2291
bone.roll = 0.0161
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.B.L.001']]
bones['lid.B.L.002'] = bone.name
bone = arm.edit_bones.new('lid.B.R.002')
bone.head[:] = -0.0221, -0.2652, 0.2262
bone.tail[:] = -0.0333, -0.2602, 0.2291
bone.roll = -0.0161
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.B.R.001']]
bones['lid.B.R.002'] = bone.name
bone = arm.edit_bones.new('chin.L')
bone.head[:] = 0.0235, -0.2371, 0.2014
bone.tail[:] = 0.0287, -0.2395, 0.2103
bone.roll = 0.4176
bone.use_connect = True
bone.parent = arm.edit_bones[bones['jaw.L.001']]
bones['chin.L'] = bone.name
bone = arm.edit_bones.new('chin.R')
bone.head[:] = -0.0235, -0.2371, 0.2014
bone.tail[:] = -0.0287, -0.2395, 0.2103
bone.roll = -0.4176
bone.use_connect = True
bone.parent = arm.edit_bones[bones['jaw.R.001']]
bones['chin.R'] = bone.name
bone = arm.edit_bones.new('lid.B.L.003')
bone.head[:] = 0.0333, -0.2602, 0.2291
bone.tail[:] = 0.0398, -0.2525, 0.2396
bone.roll = -0.0675
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.B.L.002']]
bones['lid.B.L.003'] = bone.name
bone = arm.edit_bones.new('lid.B.R.003')
bone.head[:] = -0.0333, -0.2602, 0.2291
bone.tail[:] = -0.0398, -0.2525, 0.2396
bone.roll = 0.0675
bone.use_connect = True
bone.parent = arm.edit_bones[bones['lid.B.R.002']]
bones['lid.B.R.003'] = bone.name
bone = arm.edit_bones.new('cheek.B.L')
bone.head[:] = 0.0287, -0.2395, 0.2103
bone.tail[:] = 0.0448, -0.2396, 0.2234
bone.roll = -0.3125
bone.use_connect = True
bone.parent = arm.edit_bones[bones['chin.L']]
bones['cheek.B.L'] = bone.name
bone = arm.edit_bones.new('cheek.B.R')
bone.head[:] = -0.0287, -0.2395, 0.2103
bone.tail[:] = -0.0448, -0.2396, 0.2234
bone.roll = 0.3125
bone.use_connect = True
bone.parent = arm.edit_bones[bones['chin.R']]
bones['cheek.B.R'] = bone.name
bone = arm.edit_bones.new('cheek.B.L.001')
bone.head[:] = 0.0448, -0.2396, 0.2234
bone.tail[:] = 0.0478, -0.2312, 0.2379
bone.roll = -0.0215
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.B.L']]
bones['cheek.B.L.001'] = bone.name
bone = arm.edit_bones.new('cheek.B.R.001')
bone.head[:] = -0.0448, -0.2396, 0.2234
bone.tail[:] = -0.0478, -0.2312, 0.2379
bone.roll = 0.0215
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.B.R']]
bones['cheek.B.R.001'] = bone.name
bone = arm.edit_bones.new('brow.T.L')
bone.head[:] = 0.0478, -0.2312, 0.2379
bone.tail[:] = 0.0402, -0.2481, 0.2487
bone.roll = -0.6301
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.B.L.001']]
bones['brow.T.L'] = bone.name
bone = arm.edit_bones.new('brow.T.R')
bone.head[:] = -0.0478, -0.2312, 0.2379
bone.tail[:] = -0.0402, -0.2481, 0.2487
bone.roll = 0.6301
bone.use_connect = True
bone.parent = arm.edit_bones[bones['cheek.B.R.001']]
bones['brow.T.R'] = bone.name
bone = arm.edit_bones.new('brow.T.L.001')
bone.head[:] = 0.0402, -0.2481, 0.2487
bone.tail[:] = 0.0241, -0.2601, 0.2567
bone.roll = 0.3622
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.T.L']]
bones['brow.T.L.001'] = bone.name
bone = arm.edit_bones.new('brow.T.R.001')
bone.head[:] = -0.0402, -0.2481, 0.2487
bone.tail[:] = -0.0241, -0.2601, 0.2567
bone.roll = -0.3622
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.T.R']]
bones['brow.T.R.001'] = bone.name
bone = arm.edit_bones.new('brow.T.L.002')
bone.head[:] = 0.0241, -0.2601, 0.2567
bone.tail[:] = 0.0097, -0.2694, 0.2527
bone.roll = 0.0684
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.T.L.001']]
bones['brow.T.L.002'] = bone.name
bone = arm.edit_bones.new('brow.T.R.002')
bone.head[:] = -0.0241, -0.2601, 0.2567
bone.tail[:] = -0.0097, -0.2694, 0.2527
bone.roll = -0.0684
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.T.R.001']]
bones['brow.T.R.002'] = bone.name
bone = arm.edit_bones.new('brow.T.L.003')
bone.head[:] = 0.0097, -0.2694, 0.2527
bone.tail[:] = 0.0000, -0.2709, 0.2463
bone.roll = 0.0020
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.T.L.002']]
bones['brow.T.L.003'] = bone.name
bone = arm.edit_bones.new('brow.T.R.003')
bone.head[:] = -0.0097, -0.2694, 0.2527
bone.tail[:] = 0.0000, -0.2709, 0.2463
bone.roll = -0.0020
bone.use_connect = True
bone.parent = arm.edit_bones[bones['brow.T.R.002']]
bones['brow.T.R.003'] = bone.name
bpy.ops.object.mode_set(mode='OBJECT')
pbone = obj.pose.bones[bones['tail.004']]
pbone.rigify_type = 'spines.super_spine'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.use_tail = True
except AttributeError:
pass
try:
pbone.rigify_parameters.pivot_pos = 6
except AttributeError:
pass
try:
pbone.rigify_parameters.neck_pos = 9
except AttributeError:
pass
try:
pbone.rigify_parameters.tail_pos = 4
except AttributeError:
pass
try:
pbone.rigify_parameters.copy_rotation_axes = [True, True, True]
except AttributeError:
pass
pbone = obj.pose.bones[bones['tail.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['tail.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['tail.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['spine']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.neck_pos = 5
except AttributeError:
pass
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['spine.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['pelvis.L']]
pbone.rigify_type = 'basic.super_copy'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.make_control = False
except AttributeError:
pass
pbone = obj.pose.bones[bones['pelvis.R']]
pbone.rigify_type = 'basic.super_copy'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.make_control = False
except AttributeError:
pass
pbone = obj.pose.bones[bones['pelvis.C']]
pbone.rigify_type = 'basic.super_copy'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.make_widget = False
except AttributeError:
pass
try:
pbone.rigify_parameters.make_control = False
except AttributeError:
pass
pbone = obj.pose.bones[bones['spine.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['thigh.L']]
pbone.rigify_type = 'limbs.super_limb'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.limb_type = "paw"
except AttributeError:
pass
try:
pbone.rigify_parameters.fk_layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
try:
pbone.rigify_parameters.segments = 2
except AttributeError:
pass
pbone = obj.pose.bones[bones['thigh.R']]
pbone.rigify_type = 'limbs.super_limb'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.limb_type = "paw"
except AttributeError:
pass
try:
pbone.rigify_parameters.fk_layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['spine.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['belly.C']]
pbone.rigify_type = 'basic.super_copy'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['shin.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['shin.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['spine.004']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['Breast.C']]
pbone.rigify_type = 'basic.super_copy'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['shoulder.L']]
pbone.rigify_type = 'basic.super_copy'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'YXZ'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.make_control = True
except AttributeError:
pass
try:
pbone.rigify_parameters.make_widget = False
except AttributeError:
pass
pbone = obj.pose.bones[bones['shoulder.R']]
pbone.rigify_type = 'basic.super_copy'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'YXZ'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.make_control = True
except AttributeError:
pass
try:
pbone.rigify_parameters.make_widget = False
except AttributeError:
pass
pbone = obj.pose.bones[bones['foot.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['foot.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['spine.005']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['upper_arm.L']]
pbone.rigify_type = 'limbs.super_limb'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.limb_type = "paw"
except AttributeError:
pass
try:
pbone.rigify_parameters.fk_layers = [False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['upper_arm.R']]
pbone.rigify_type = 'limbs.super_limb'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.fk_layers = [False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
try:
pbone.rigify_parameters.limb_type = "paw"
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_toe.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_toe.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['spine.006']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forearm.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forearm.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.001.L']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.003.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.004.L']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.001.R']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.003.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_palm.004.R']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['face']]
pbone.rigify_type = 'faces.super_face'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.secondary_layers = [False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['hand.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['hand.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_index.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_middle.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_ring.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_pinky.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_index.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_middle.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_ring.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['r_pinky.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['nose']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.T.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.B.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['jaw']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.T.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.B.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forehead.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forehead.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['eye.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['eye.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.T.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.T.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['teeth.T']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['teeth.B']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['tongue']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_toe.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_toe.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_index.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_middle.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_ring.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_pinky.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_index.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_middle.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_ring.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['r_pinky.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['nose.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.T.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.B.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['chin']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.T.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lip.B.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forehead.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forehead.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.T.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.T.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['tongue.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.004.L']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.001.L']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.003.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.004.R']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.001.R']]
pbone.rigify_type = 'limbs.super_palm'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_palm.003.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['nose.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['chin.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.L.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.R.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.L.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.L.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.R.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.R.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forehead.L.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['forehead.R.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['nose.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['nose.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['tongue.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_pinky.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['f_index.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['f_middle.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['f_ring.001.L']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['f_pinky.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['f_index.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['f_middle.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['f_ring.001.R']]
pbone.rigify_type = 'limbs.simple_tentacle'
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
try:
pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
except AttributeError:
pass
pbone = obj.pose.bones[bones['nose.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.L.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.R.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.L.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.L.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.B.R.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.T.R.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['temple.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['temple.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['nose.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['nose.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_pinky.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_index.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_middle.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_ring.002.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_pinky.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_index.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_middle.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['f_ring.002.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['nose.004']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.L.004']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['ear.R.004']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['jaw.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['jaw.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['jaw.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['jaw.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.L.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.R.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['chin.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['chin.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.L.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['lid.B.R.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.B.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.B.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.B.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['cheek.B.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.L']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.R']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.L.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.R.001']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.L.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.R.002']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.L.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
pbone = obj.pose.bones[bones['brow.T.R.003']]
pbone.rigify_type = ''
pbone.lock_location = (False, False, False)
pbone.lock_rotation = (False, False, False)
pbone.lock_rotation_w = False
pbone.lock_scale = (False, False, False)
pbone.rotation_mode = 'QUATERNION'
pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]
bpy.ops.object.mode_set(mode='EDIT')
for bone in arm.edit_bones:
bone.select = False
bone.select_head = False
bone.select_tail = False
for b in bones:
bone = arm.edit_bones[bones[b]]
bone.select = True
bone.select_head = True
bone.select_tail = True
arm.edit_bones.active = bone
arm.layers = [(x in [0, 3, 5, 7, 10, 13, 16, 19]) for x in range(32)]
if __name__ == "__main__":
create(bpy.context.active_object)
| 53.377852
| 274
| 0.661826
| 23,431
| 159,066
| 4.396483
| 0.021766
| 0.676122
| 0.893034
| 1.029375
| 0.972926
| 0.945425
| 0.940125
| 0.93031
| 0.918613
| 0.90611
| 0
| 0.063814
| 0.182126
| 159,066
| 2,979
| 275
| 53.39577
| 0.728016
| 0.000245
| 0
| 0.576248
| 1
| 0
| 0.058865
| 0.002113
| 0
| 0
| 0
| 0
| 0
| 1
| 0.000337
| false
| 0.01552
| 0.000675
| 0
| 0.001012
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
d3fad6d59b0cec10fd6d66b97c64b53f3e95e9a3
| 15,827
|
py
|
Python
|
tests/test_basic.py
|
grnet/puka
|
6a0651c48421daac610a63567efc6f6f0e0fe83a
|
[
"MIT"
] | null | null | null |
tests/test_basic.py
|
grnet/puka
|
6a0651c48421daac610a63567efc6f6f0e0fe83a
|
[
"MIT"
] | null | null | null |
tests/test_basic.py
|
grnet/puka
|
6a0651c48421daac610a63567efc6f6f0e0fe83a
|
[
"MIT"
] | null | null | null |
from __future__ import with_statement
import os
import puka
import base
class TestBasic(base.TestCase):
def test_simple_roundtrip(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body=self.msg)
client.wait(promise)
consume_promise = client.basic_consume(queue=self.name, no_ack=True)
result = client.wait(consume_promise)
self.assertEqual(result['body'], self.msg)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_purge(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body=self.msg)
client.wait(promise)
promise = client.queue_purge(queue=self.name)
r = client.wait(promise)
self.assertEqual(r['message_count'], 1)
promise = client.queue_purge(queue=self.name)
r = client.wait(promise)
self.assertEqual(r['message_count'], 0)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_basic_get_ack(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
for i in range(4):
promise = client.basic_publish(exchange='', routing_key=self.name,
body=self.msg+str(i))
client.wait(promise)
msgs = []
for i in range(4):
promise = client.basic_get(queue=self.name)
result = client.wait(promise)
self.assertEqual(result['body'], self.msg+str(i))
self.assertEqual(result['redelivered'], False)
msgs.append( result )
promise = client.basic_get(queue=self.name)
result = client.wait(promise)
self.assertEqual('body' in result, False)
self.assertEqual(len(client.channels.free_channels), 1)
self.assertEqual(client.channels.free_channel_numbers[-1], 7)
for msg in msgs:
client.basic_ack(msg)
self.assertEqual(len(client.channels.free_channels), 5)
self.assertEqual(client.channels.free_channel_numbers[-1], 7)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_basic_publish_bad_exchange(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
for i in range(2):
promise = client.basic_publish(exchange='invalid_exchange',
routing_key='xxx', body='')
self.assertEqual(len(client.channels.free_channels), 0)
self.assertEqual(client.channels.free_channel_numbers[-1], 2)
with self.assertRaises(puka.NotFound) as cm:
client.wait(promise)
(r,) = cm.exception # unpack args of exception
self.assertTrue(r.is_error)
self.assertEqual(r['reply_code'], 404)
self.assertEqual(len(client.channels.free_channels), 0)
self.assertEqual(client.channels.free_channel_numbers[-1], 2)
def test_basic_return(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
mandatory=True, body='')
with self.assertRaises(puka.NoRoute):
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
mandatory=True, body='')
client.wait(promise) # no error
promise = client.basic_publish(exchange='', routing_key=self.name,
immediate=True, body='')
with self.assertRaises(puka.NoConsumers):
r = client.wait(promise)
print r
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_persistent(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body=self.msg) # persistence=default
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body=self.msg,
headers={'delivery_mode':2})
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body=self.msg,
headers={'delivery_mode':1})
client.wait(promise)
promise = client.basic_get(queue=self.name, no_ack=True)
result = client.wait(promise)
self.assertTrue('delivery_mode' not in result['headers'])
promise = client.basic_get(queue=self.name, no_ack=True)
result = client.wait(promise)
self.assertTrue('delivery_mode' in result['headers'])
self.assertEquals(result['headers']['delivery_mode'], 2)
promise = client.basic_get(queue=self.name, no_ack=True)
result = client.wait(promise)
self.assertTrue('delivery_mode' in result['headers'])
self.assertEquals(result['headers']['delivery_mode'], 1)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_basic_reject(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='a')
client.wait(promise)
t = client.basic_get(queue=self.name)
r = client.wait(t)
self.assertEqual(r['body'], 'a')
self.assertTrue(not r['redelivered'])
client.basic_reject(r)
t = client.basic_get(queue=self.name)
r = client.wait(t)
self.assertEqual(r['body'], 'a')
self.assertTrue(r['redelivered'])
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_basic_reject_no_requeue(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='a')
client.wait(promise)
t = client.basic_get(queue=self.name)
r = client.wait(t)
self.assertEqual(r['body'], 'a')
self.assertTrue(not r['redelivered'])
client.basic_reject(r, requeue=False)
t = client.basic_get(queue=self.name)
r = client.wait(t)
self.assertTrue(r['empty'])
self.assertFalse('redelivered' in r)
self.assertFalse('body' in r)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_basic_reject_dead_letter_exchange(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.exchange_declare(exchange=self.name1, type='fanout')
client.wait(promise)
promise = client.queue_declare(
queue=self.name, arguments={'x-dead-letter-exchange': self.name1})
client.wait(promise)
promise = client.queue_declare(exclusive=True)
dlxqname = client.wait(promise)['queue']
promise = client.queue_bind(queue=dlxqname, exchange=self.name1)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='a')
client.wait(promise)
t = client.basic_get(queue=self.name)
r = client.wait(t)
self.assertEqual(r['body'], 'a')
self.assertTrue(not r['redelivered'])
client.basic_reject(r, requeue=False)
t = client.basic_get(queue=self.name)
r = client.wait(t)
self.assertTrue(r['empty'])
self.assertFalse('redelivered' in r)
self.assertFalse('body' in r)
t = client.basic_get(queue=dlxqname)
r = client.wait(t)
self.assertEqual(r['body'], 'a')
self.assertEqual(r['headers']['x-death'][0]['reason'], 'rejected')
self.assertTrue(not r['redelivered'])
promise = client.queue_delete(queue=self.name)
client.wait(promise)
promise = client.exchange_delete(exchange=self.name1)
client.wait(promise)
def test_properties(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
t = client.queue_declare(queue=self.name)
client.wait(t)
headers = {
"content_type": 'a',
"content_encoding": 'b',
#"headers":
"delivery_mode": 2,
"priority": 1,
"correlation_id": 'd',
"reply_to": 'e',
"expiration": 'f',
"message_id": 'g',
"timestamp": 1,
"type_": 'h',
"user_id": 'guest', # that one needs to match real user
"app_id": 'j',
"cluster_id": 'k',
"custom": 'l',
"blah2": [True, 1, -1, 4611686018427387904L,
-4611686018427387904L, [1,2,3,4, {"a":"b", "c":[]}]],
}
t = client.basic_publish(exchange='', routing_key=self.name,
body='a', headers=headers.copy())
client.wait(t)
t = client.basic_get(queue=self.name, no_ack=True)
r = client.wait(t)
self.assertEqual(r['body'], 'a')
recv_headers = r['headers']
del recv_headers['x-puka-delivery-tag']
self.assertEqual(repr(headers), repr(recv_headers))
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_basic_ack_fail(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='a')
client.wait(promise)
promise = client.basic_consume(queue=self.name)
result = client.wait(promise)
with self.assertRaises(puka.PreconditionFailed):
r2 = result.copy()
r2['delivery_tag'] = 999
client.basic_ack(r2)
client.wait(promise)
promise = client.basic_consume(queue=self.name)
result = client.wait(promise)
client.basic_ack(result)
with self.assertRaises(AssertionError):
client.basic_ack(result)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_basic_cancel(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
for i in range(2):
promise = client.basic_publish(exchange='', routing_key=self.name,
body='a')
client.wait(promise)
consume_promise = client.basic_consume(queue=self.name)
msg1 = client.wait(consume_promise)
self.assertEqual(msg1['body'], 'a')
client.basic_ack(msg1)
promise = client.basic_cancel(consume_promise)
result = client.wait(promise)
self.assertTrue('consumer_tag' in result)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='b')
client.wait(promise)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
def test_close(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body=self.msg)
client.wait(promise)
consume_promise = client.basic_consume(queue=self.name)
msg_result = client.wait(consume_promise)
promise = client.queue_delete(self.name)
client.wait(promise)
promise = client.close()
client.wait(promise)
def test_basic_consume_fail(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
consume_promise = client.basic_consume(queue='bad_q_name')
with self.assertRaises(puka.NotFound):
msg_result = client.wait(consume_promise)
promise = client.close()
client.wait(promise)
def test_broken_ack_on_close(self):
client = puka.Client(self.amqp_url)
promise = client.connect()
client.wait(promise)
promise = client.queue_declare()
qname = client.wait(promise)['queue']
promise = client.basic_publish(exchange='', routing_key=qname, body='a')
client.wait(promise)
promise = client.basic_get(queue=qname)
r = client.wait(promise)
self.assertEquals(r['body'], 'a')
promise = client.queue_delete(queue=qname)
client.wait(promise)
promise = client.close()
client.wait(promise)
@base.connect
def test_basic_qos(self, client):
promise = client.queue_declare(queue=self.name)
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='a')
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='b')
client.wait(promise)
promise = client.basic_publish(exchange='', routing_key=self.name,
body='c')
client.wait(promise)
consume_promise = client.basic_consume(queue=self.name, prefetch_count=1)
result = client.wait(consume_promise, timeout=0.1)
self.assertEqual(result['body'], 'a')
result = client.wait(consume_promise, timeout=0.1)
self.assertEqual(result, None)
promise = client.basic_qos(consume_promise, prefetch_count=2)
result = client.wait(promise)
result = client.wait(consume_promise, timeout=0.1)
self.assertEqual(result['body'], 'b')
result = client.wait(consume_promise, timeout=0.1)
self.assertEqual(result, None)
promise = client.queue_delete(queue=self.name)
client.wait(promise)
if __name__ == '__main__':
import tests
tests.run_unittests(globals())
| 32.8361
| 81
| 0.590068
| 1,777
| 15,827
| 5.118739
| 0.097918
| 0.111038
| 0.155123
| 0.100264
| 0.829815
| 0.812335
| 0.782542
| 0.759675
| 0.730211
| 0.681838
| 0
| 0.00865
| 0.291464
| 15,827
| 481
| 82
| 32.904366
| 0.802479
| 0.006129
| 0
| 0.675141
| 0
| 0
| 0.041402
| 0.001399
| 0
| 0
| 0
| 0
| 0.149718
| 0
| null | null | 0
| 0.014124
| null | null | 0.002825
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| 0
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| null | 0
| 0
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| 0
| 0
|
0
| 7
|
3108ec5cd474ad13a68450219f7fefea6f9a6cc5
| 13,984
|
py
|
Python
|
peacemakr/generated/api/key_service_api.py
|
peacemakr-io/peacemakr-python-sdk
|
180bbc2e480ea855dddf0e28c2f27e83a17bfb84
|
[
"Apache-2.0"
] | 3
|
2020-01-27T10:07:29.000Z
|
2021-05-17T16:45:59.000Z
|
peacemakr/generated/api/key_service_api.py
|
peacemakr-io/peacemakr-python-sdk
|
180bbc2e480ea855dddf0e28c2f27e83a17bfb84
|
[
"Apache-2.0"
] | 7
|
2020-06-24T03:55:36.000Z
|
2021-03-30T00:43:51.000Z
|
peacemakr/generated/api/key_service_api.py
|
peacemakr-io/peacemakr-python-sdk
|
180bbc2e480ea855dddf0e28c2f27e83a17bfb84
|
[
"Apache-2.0"
] | 1
|
2021-04-27T04:12:30.000Z
|
2021-04-27T04:12:30.000Z
|
# coding: utf-8
"""
Peacemakr
This API describes the Peacemakr services, which enable seamless application layer encryption and verification. # noqa: E501
OpenAPI spec version: 1.0.0
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 peacemakr.generated.api_client import ApiClient
class KeyServiceApi(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 get_all_encrypted_keys(self, encrypting_key_id, **kwargs): # noqa: E501
"""Get all encrypted symmetric keys that are encrypted with this encrypting keyId, optionally limiting the request to a set of symmetric key domains # 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_all_encrypted_keys(encrypting_key_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str encrypting_key_id: (required)
:param list[str] symmetric_key_ids:
:return: list[EncryptedSymmetricKey]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_all_encrypted_keys_with_http_info(encrypting_key_id, **kwargs) # noqa: E501
else:
(data) = self.get_all_encrypted_keys_with_http_info(encrypting_key_id, **kwargs) # noqa: E501
return data
def get_all_encrypted_keys_with_http_info(self, encrypting_key_id, **kwargs): # noqa: E501
"""Get all encrypted symmetric keys that are encrypted with this encrypting keyId, optionally limiting the request to a set of symmetric key domains # 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_all_encrypted_keys_with_http_info(encrypting_key_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str encrypting_key_id: (required)
:param list[str] symmetric_key_ids:
:return: list[EncryptedSymmetricKey]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['encrypting_key_id', 'symmetric_key_ids'] # 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_all_encrypted_keys" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'encrypting_key_id' is set
if ('encrypting_key_id' not in params or
params['encrypting_key_id'] is None):
raise ValueError("Missing the required parameter `encrypting_key_id` when calling `get_all_encrypted_keys`") # noqa: E501
collection_formats = {}
path_params = {}
if 'encrypting_key_id' in params:
path_params['encryptingKeyId'] = params['encrypting_key_id'] # noqa: E501
query_params = []
if 'symmetric_key_ids' in params:
query_params.append(('symmetricKeyIds', params['symmetric_key_ids'])) # noqa: E501
collection_formats['symmetricKeyIds'] = 'csv' # 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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/symmetric/{encryptingKeyId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[EncryptedSymmetricKey]', # 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_public_key(self, key_id, **kwargs): # noqa: E501
"""Get the public key associated with the passed-in key ID # 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_public_key(key_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str key_id: (required)
:return: PublicKey
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_public_key_with_http_info(key_id, **kwargs) # noqa: E501
else:
(data) = self.get_public_key_with_http_info(key_id, **kwargs) # noqa: E501
return data
def get_public_key_with_http_info(self, key_id, **kwargs): # noqa: E501
"""Get the public key associated with the passed-in key ID # 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_public_key_with_http_info(key_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str key_id: (required)
:return: PublicKey
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['key_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_public_key" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'key_id' is set
if ('key_id' not in params or
params['key_id'] is None):
raise ValueError("Missing the required parameter `key_id` when calling `get_public_key`") # noqa: E501
collection_formats = {}
path_params = {}
if 'key_id' in params:
path_params['keyID'] = params['key_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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/asymmetric/{keyID}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PublicKey', # 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 post_new_encrypted_keys(self, encrypting_key_id, encrypted_symmetric_key, **kwargs): # noqa: E501
"""Add a new encrypted key. The encrypting key that protects the encrypted key is identified with encryptingKeyId. Request must come from a registered key manager. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_new_encrypted_keys(encrypting_key_id, encrypted_symmetric_key, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str encrypting_key_id: (required)
:param list[EncryptedSymmetricKey] encrypted_symmetric_key: (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.post_new_encrypted_keys_with_http_info(encrypting_key_id, encrypted_symmetric_key, **kwargs) # noqa: E501
else:
(data) = self.post_new_encrypted_keys_with_http_info(encrypting_key_id, encrypted_symmetric_key, **kwargs) # noqa: E501
return data
def post_new_encrypted_keys_with_http_info(self, encrypting_key_id, encrypted_symmetric_key, **kwargs): # noqa: E501
"""Add a new encrypted key. The encrypting key that protects the encrypted key is identified with encryptingKeyId. Request must come from a registered key manager. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_new_encrypted_keys_with_http_info(encrypting_key_id, encrypted_symmetric_key, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str encrypting_key_id: (required)
:param list[EncryptedSymmetricKey] encrypted_symmetric_key: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['encrypting_key_id', 'encrypted_symmetric_key'] # 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 post_new_encrypted_keys" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'encrypting_key_id' is set
if ('encrypting_key_id' not in params or
params['encrypting_key_id'] is None):
raise ValueError("Missing the required parameter `encrypting_key_id` when calling `post_new_encrypted_keys`") # noqa: E501
# verify the required parameter 'encrypted_symmetric_key' is set
if ('encrypted_symmetric_key' not in params or
params['encrypted_symmetric_key'] is None):
raise ValueError("Missing the required parameter `encrypted_symmetric_key` when calling `post_new_encrypted_keys`") # noqa: E501
collection_formats = {}
path_params = {}
if 'encrypting_key_id' in params:
path_params['encryptingKeyId'] = params['encrypting_key_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'encrypted_symmetric_key' in params:
body_params = params['encrypted_symmetric_key']
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/symmetric/{encryptingKeyId}', '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)
| 41.250737
| 185
| 0.636156
| 1,657
| 13,984
| 5.085094
| 0.108027
| 0.02789
| 0.053406
| 0.025635
| 0.902326
| 0.888322
| 0.867671
| 0.850225
| 0.837645
| 0.826015
| 0
| 0.01456
| 0.278032
| 13,984
| 338
| 186
| 41.372781
| 0.820028
| 0.341104
| 0
| 0.715084
| 0
| 0
| 0.21025
| 0.06771
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039106
| false
| 0
| 0.022346
| 0
| 0.117318
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
31a0d2c0672e4143fb09368c1389b2593531eeb9
| 194
|
py
|
Python
|
sdc/tests/tests_perf/__init__.py
|
samir-nasibli/sdc
|
b9144c8799d6454dec3e5c550e305963b24c1570
|
[
"BSD-2-Clause"
] | null | null | null |
sdc/tests/tests_perf/__init__.py
|
samir-nasibli/sdc
|
b9144c8799d6454dec3e5c550e305963b24c1570
|
[
"BSD-2-Clause"
] | null | null | null |
sdc/tests/tests_perf/__init__.py
|
samir-nasibli/sdc
|
b9144c8799d6454dec3e5c550e305963b24c1570
|
[
"BSD-2-Clause"
] | null | null | null |
from sdc.tests.tests_perf.test_perf_unicode import *
from sdc.tests.tests_perf.test_perf_series_str import *
from sdc.tests.tests_perf.test_perf_series import *
from . import test_perf_read_csv
| 38.8
| 55
| 0.850515
| 34
| 194
| 4.470588
| 0.323529
| 0.210526
| 0.236842
| 0.335526
| 0.730263
| 0.730263
| 0.730263
| 0.539474
| 0.539474
| 0
| 0
| 0
| 0.082474
| 194
| 4
| 56
| 48.5
| 0.853933
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 9
|
31c8ca6eaa93665ae1d3ae7bc7dfabb8031b1c6c
| 26,122
|
py
|
Python
|
calculator-full.py
|
MohamedEmad2003/Calculator
|
4e92382d11b14c22abffc5288126924484c2e7c7
|
[
"MIT"
] | 1
|
2020-06-05T15:39:18.000Z
|
2020-06-05T15:39:18.000Z
|
calculator-full.py
|
MohamedEmad2003/Calculator
|
4e92382d11b14c22abffc5288126924484c2e7c7
|
[
"MIT"
] | null | null | null |
calculator-full.py
|
MohamedEmad2003/Calculator
|
4e92382d11b14c22abffc5288126924484c2e7c7
|
[
"MIT"
] | null | null | null |
from tkinter import *
from tkinter import messagebox
window = Tk()
window.title('Calculator')
window.geometry('250x360+300+100')
window.configure(bg='#001a1a')
window.resizable(FALSE,FALSE)
input_user = StringVar()
click = StringVar()
comma_write = StringVar()
comma_has_written = comma_write.get()
comma_write.set('0')
#------------------------------------------------------------------------------------------------------
#-------------------------------------Functions--------------------------------------------------------
#------------------------------------------------------------------------------------------------------
def del_bt():
print("delete")
x = input_user.get()
input_user.set(x[:-1])
def clear_bt():
print("clear")
x = input_user.get()
input_user.set('')
comma_has_written = comma_write.get()
comma_write.set('0')
def plus_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
print("plus")
x = input_user.get()
input_user.set(x+'+')
click.set('no')
comma_has_written = comma_write.get()
comma_write.set('0')
def minus_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أو عمليات أكتر من كده \n امسح أرقام وبعدين كمل حساباتك تاني ، \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
print("minus")
x = input_user.get()
input_user.set(x+'-')
click.set('no')
comma_has_written = comma_write.get()
comma_write.set('0')
def multi_bt():
x = input_user.get()
equal_clicked = click.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
print("multi")
x = input_user.get()
input_user.set(x+'*')
click.set('no')
comma_has_written = comma_write.get()
comma_write.set('0')
elif len(x)==0 or x[0]== '/' or x[0]== '*':
input_user.set('')
else:
if x[-1]=='/' or x[-1]=='*':
messagebox.showwarning("warning", "You mustn't write // or **, you can write only one * or /" )
elif x[-1]== '-' or x[0]== '+':
print("can't write *")
else:
print("multi")
x = input_user.get()
input_user.set(x+'*')
comma_has_written = comma_write.get()
comma_write.set('0')
def divi_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
print("divi")
x = input_user.get()
input_user.set(x+'/')
click.set('no')
comma_has_written = comma_write.get()
comma_write.set('0')
elif len(x)==0 or x[0]== '/' or x[0]== '*' :
input_user.set('')
else:
if x[-1]=='/' or x[-1]=='*':
messagebox.showwarning("warning", "You mustn't write // or **, you can write only one * or /" )
elif x[-1]== '-' or x[0]== '+':
print("can't write /")
else:
print("divi")
x = input_user.get()
input_user.set(x+'/')
comma_has_written = comma_write.get()
comma_write.set('0')
def equal_bt():
x = input_user.get()
print('sentence is :',x)
print('sentence length equal',len(x))
comma_has_written = comma_write.get()
if len(x)==0:
input_user.set('0')
equal_clicked = click.get()
click.set('yes')
print(equal_clicked)
comma_has_written = comma_write.get()
comma_write.set('0')
elif x[0]=='+' and len(x)>1:
x = input_user.get()
print(x)
z = eval(x)
input_user.set(z)
print(z)
equal_clicked = click.get()
click.set('yes')
print(equal_clicked)
comma_has_written = comma_write.get()
comma_write.set('0')
elif (x[0]=='.' or x[0]=='+' or x[0]=='-' )and len(x)==1:
if x[0]=='.':
print('HaHaHa')
print("equal")
x = input_user.get()
input_user.set('0.0')
equal_clicked = click.get()
click.set('yes')
print(equal_clicked)
comma_has_written = comma_write.get()
comma_write.set('0')
#--------------------------------
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
equal_bt()
#--------------------------------
elif x[0]=='+' or x[0]=='-':
input_user.set('')
else:
equal_clicked = click.get()
print("LAaaaaaaaaaaaaaaaaaa")
x = input_user.get()
print(x)
z = eval(x)
input_user.set(z)
print(z)
click.set('yes')
print(equal_clicked)
comma_write.set('0')
#------------------------------------------------
elif x[0]=='.' and len(x)>1:
x = input_user.get()
equal_clicked = click.get()
print(x)
z = eval(x)
input_user.set(z)
print(z)
click.set('yes')
print(equal_clicked)
comma_write.set('0')
#------------------------------------------------
else:
if x[-1]=='/' or x[-1]=='*' or x[-1]=='+' or x[-1]=='-':
#messagebox.showwarning("warning", "You mustn't write / or * or + or - at the end of calculation without number !" )
input_user.set(x[:-1])
x = input_user.get()
print(x)
z = eval(x)
input_user.set(z)
print(z)
equal_clicked = click.get()
click.set('yes')
print(equal_clicked)
#print("length is :",len(x))
comma_has_written = comma_write.get()
comma_write.set('0')
elif x[:]=='.':
#messagebox.showwarning("warning", "You mustn't write ' , ' (comma) without number !" )
input_user.set(x[:-1])
x = input_user.get()
print(x)
z = eval(x)
input_user.set(z)
print(z)
equal_clicked = click.get()
click.set('yes')
print(equal_clicked)
else :
print("equal")
x = input_user.get()
print(x)
z = eval(x)
input_user.set(z)
print(z)
equal_clicked = click.get()
click.set('yes')
print(equal_clicked)
comma_write.set('0')
def comma_bt():
comma_has_written = comma_write.get()
print(comma_has_written)
print(comma_write)
x = input_user.get()
equal_clicked = click.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
comma_bt()
elif comma_has_written == '0':
print("comma")
x = input_user.get()
input_user.set(x+'.')
comma_write.set('1')
else:
print('can" write comma, LoL')
#----------------------------------------------
def num0_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num0_bt()
else:
print('0')
x = input_user.get()
input_user.set(x+'0')
comma_has_written = comma_write.get()
comma_write.set('0')
def num1_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num1_bt()
else:
print("1")
x = input_user.get()
input_user.set(x+'1')
comma_has_written = comma_write.get()
comma_write.set('0')
def num2_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num2_bt()
else:
print("2")
x = input_user.get()
input_user.set(x+'2')
comma_has_written = comma_write.get()
comma_write.set('0')
def num3_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num3_bt()
else:
print("3")
x = input_user.get()
input_user.set(x+'3')
comma_has_written = comma_write.get()
comma_write.set('0')
def num4_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num4_bt()
else:
print("4")
x = input_user.get()
input_user.set(x+'4')
comma_has_written = comma_write.get()
comma_write.set('0')
def num5_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num5_bt()
else:
print("5")
x = input_user.get()
input_user.set(x+'5')
comma_has_written = comma_write.get()
comma_write.set('0')
def num6_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num6_bt()
else:
print("6")
x = input_user.get()
input_user.set(x+'6')
comma_has_written = comma_write.get()
comma_write.set('0')
def num7_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num7_bt()
else:
print("7")
x = input_user.get()
input_user.set(x+'7')
comma_has_written = comma_write.get()
comma_write.set('0')
def num8_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num8_bt()
else:
print("8")
x = input_user.get()
input_user.set(x+'8')
comma_has_written = comma_write.get()
comma_write.set('0')
def num9_bt():
equal_clicked = click.get()
x = input_user.get()
if len(x)>=15:
messagebox.showwarning("warning", " مش مسموح لحضرتك تكتب أرقام أكتر من كده ، \n امسح أرقام وكمل حساباتك تاني \nYou can't write more number after this,\n This is the maximum length of numbers and operators" )
else:
if equal_clicked == 'yes':
x = input_user.get()
input_user.set('')
click.set('no')
print(equal_clicked)
num9_bt()
else:
print("9")
x = input_user.get()
input_user.set(x+'9')
comma_has_written = comma_write.get()
comma_write.set('0')
#--------------------------------------------------------------------------------------------------------------
#--------------------------------------------------------------------------------------------------------------
#--------------------------------------------------------------------------------------------------------
#-------------------------------------------------Buttons------------------------------------------------
#--------------------------------------------------------------------------------------------------------
#------------------------------clear_button--------------------------------------------------
clear_button = Button(text='clear',
bg='#0066cc',
fg='#00ff00',
activebackground='#003366',
activeforeground='yellow',
height=2,
width=6,
command=clear_bt)
clear_button.place(x=10,y=130)
#--------------------------------plus_button--------------------------------------------------
plus_button = Button(text='+',
bg='#0066cc',
fg='white',
activebackground='#003366',
activeforeground='yellow',
height=2,
width=6,
command=plus_bt)
plus_button.place(x=190,y=220)
#------------------------------minus_button-------------------------------------------------
minus_button = Button(text='-',
bg='#0066cc',
fg='white',
activebackground='#003366',
activeforeground='yellow',
height=2,
width=6,
command=minus_bt)
minus_button.place(x=190,y=175)
#--------------------------------multiplication_button--------------------------------------------------
multiplication_button = Button(text='x',
bg='#0066cc',
fg='white',
activebackground='#003366',
activeforeground='yellow',
height=2,
width=6,
command=multi_bt)
multiplication_button.place(x=190,y=130)
#------------------------------division_button--------------------------------------------------
division_button = Button(text='÷',
bg='#0066cc',
fg='white',
activebackground='#003366',
activeforeground='yellow',
height=2,
width=6,
command=divi_bt)
division_button.place(x=130,y=130)
#--------------------------------delete_button--------------------------------------------------
delete_button = Button(text='delete',
bg='#0066cc',
fg='#00ff00',
activebackground='#003366',
activeforeground='yellow',
height=2,
width=6,
command=del_bt)
delete_button.place(x=70,y=130)
#--------------------------------equal_button--------------------------------------------------
equal_button = Button(text='=',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='yellow',
height=5,
width=6,
command=equal_bt)
equal_button.place(x=190,y=265)
#--------------------------------number_7_button--------------------------------------------------
number7_button = Button(text='7',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num7_bt)
number7_button.place(x=10,y=175)
#---------------------------------number_8_button-------------------------------------------------
number8_button = Button(text='8',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num8_bt)
number8_button.place(x=70,y=175)
#---------------------------------number_9_button---------------------------------------------------------
number9_button = Button(text='9',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num9_bt)
number9_button.place(x=130,y=175)
#-----------------------------------number_4_button-----------------------------------------------------------------
number4_button = Button(text='4',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num4_bt)
number4_button.place(x=10,y=220)
#----------------------------------number_5_button--------------------------------------------------------------------
number5_button = Button(text='5',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num5_bt)
number5_button.place(x=70,y=220)
#---------------------------------number_6_button---------------------------------------------
number6_button = Button(text='6',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num6_bt)
number6_button.place(x=130,y=220)
#-----------------------------------number_1_button-----------------------------------------------------------------
number1_button = Button(text='1',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num1_bt)
number1_button.place(x=10,y=265)
#----------------------------------number_2_button---------------------------------------------------------------------------------
number2_button = Button(text='2',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num2_bt)
number2_button.place(x=70,y=265)
#---------------------------------number_3_button---------------------------------------------
number3_button = Button(text='3',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=num3_bt)
number3_button.place(x=130,y=265)
#---------------------------------number_0_button---------------------------------------------
number0_button = Button(text='0',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=15,
command=num0_bt)
number0_button.place(x=9,y=310)
#---------------------------------comma_button---------------------------------------------
comma_button = Button(text=',',
bg='#99004d',
fg='white',
activebackground='#4d0026',
activeforeground='green',
height=2,
width=6,
command=comma_bt)
comma_button.place(x=130,y=310)
#--------------------------------------------------------------------------------------------------------
#-------------------------------------------------Lables-------------------------------------------------
#--------------------------------------------------------------------------------------------------------
screen = Label(window,textvariable= input_user,
bg='#d9d9d9',
fg='black',
height=3,
width=17,
anchor=SE,
padx=5,
pady=5)
screen.config(font=("Courier", 16))
screen.place(x=8,y=34)
title_programmer = Label(window,text='By Mohamed Emad, Member at IEEE. April 2020', bg='green',fg='white',height=1,width=17)
title_programmer.config(font=("Comic Sans MS", 8))
title_programmer.pack(fill='x')
#------------------------------------------------------------------------------------------------------
#----------------------------------------------programming---------------------------------------------
#------------------------------------------------------------------------------------------------------
window.iconbitmap(r'C:\Users\comp\Desktop\Tkinter\calc.ico')
window.mainloop()
| 36.739803
| 236
| 0.421063
| 2,555
| 26,122
| 4.163992
| 0.077104
| 0.084594
| 0.056396
| 0.065984
| 0.804305
| 0.773381
| 0.767741
| 0.75853
| 0.730144
| 0.720086
| 0
| 0.032197
| 0.354376
| 26,122
| 710
| 237
| 36.791549
| 0.597688
| 0.142179
| 0
| 0.719512
| 0
| 0.026132
| 0.174023
| 0.001755
| 0.003484
| 0
| 0
| 0
| 0
| 1
| 0.031359
| false
| 0
| 0.003484
| 0
| 0.034843
| 0.108014
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
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| null | 0
| 0
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| 0
| 0
| 0
|
0
| 7
|
31dc7ce18ae8ce5e62415e150cf7ee84493ee876
| 44,666
|
py
|
Python
|
modules/__init__.py
|
shalei120/HopfieldLM
|
3fba4ee05bfc7f5041593f95457ffdf0bdc094a3
|
[
"MIT"
] | null | null | null |
modules/__init__.py
|
shalei120/HopfieldLM
|
3fba4ee05bfc7f5041593f95457ffdf0bdc094a3
|
[
"MIT"
] | 1
|
2021-04-21T14:46:16.000Z
|
2021-04-21T14:46:16.000Z
|
modules/__init__.py
|
shalei120/HopfieldLM
|
3fba4ee05bfc7f5041593f95457ffdf0bdc094a3
|
[
"MIT"
] | null | null | null |
import torch
import torch.nn as nn
from math import sqrt
from torch import Tensor
from torch.nn import Module, Parameter
from typing import Optional, Tuple, Union
from .activation import HopfieldCore
class Hopfield(Module):
"""
Module with underlying Hopfield association.
"""
def __init__(self,
input_size: Optional[int] = None,
hidden_size: Optional[int] = None,
output_size: Optional[int] = None,
pattern_size: Optional[int] = None,
num_heads: int = 1,
scaling: Optional[Union[float, Tensor]] = None,
update_steps_max: Optional[Union[int, Tensor]] = 0,
update_steps_eps: Union[float, Tensor] = 1e-4,
normalize_stored_pattern: bool = True,
normalize_stored_pattern_affine: bool = True,
normalize_state_pattern: bool = True,
normalize_state_pattern_affine: bool = True,
normalize_pattern_projection: bool = True,
normalize_pattern_projection_affine: bool = True,
normalize_hopfield_space: bool = False,
normalize_hopfield_space_affine: bool = False,
stored_pattern_as_static: bool = False,
state_pattern_as_static: bool = False,
pattern_projection_as_static: bool = False,
pattern_projection_as_connected: bool = False,
stored_pattern_size: Optional[int] = None,
pattern_projection_size: Optional[int] = None,
batch_first: bool = True,
association_activation: Optional[str] = None,
dropout: float = 0.0,
input_bias: bool = True,
concat_bias_pattern: bool = False,
add_zero_association: bool = False,
disable_out_projection: bool = False
):
"""
Initialise new instance of a Hopfield module.
:param input_size: depth of the input (state pattern)
:param hidden_size: depth of the association space
:param output_size: depth of the output projection
:param pattern_size: depth of patterns to be selected
:param num_heads: amount of parallel association heads
:param scaling: scaling of association heads, often represented as beta (one entry per head)
:param update_steps_max: maximum count of association update steps (None equals to infinity)
:param update_steps_eps: minimum difference threshold between two consecutive association update steps
:param normalize_stored_pattern: apply normalization on stored patterns
:param normalize_stored_pattern_affine: additionally enable affine normalization of stored patterns
:param normalize_state_pattern: apply normalization on state patterns
:param normalize_state_pattern_affine: additionally enable affine normalization of state patterns
:param normalize_pattern_projection: apply normalization on the pattern projection
:param normalize_pattern_projection_affine: additionally enable affine normalization of pattern projection
:param normalize_hopfield_space: enable normalization of patterns in the Hopfield space
:param normalize_hopfield_space_affine: additionally enable affine normalization of patterns in Hopfield space
:param stored_pattern_as_static: interpret specified stored patterns as being static
:param state_pattern_as_static: interpret specified state patterns as being static
:param pattern_projection_as_static: interpret specified pattern projections as being static
:param pattern_projection_as_connected: connect pattern projection with stored pattern
:param stored_pattern_size: depth of input (stored pattern)
:param pattern_projection_size: depth of input (pattern projection)
:param batch_first: flag for specifying if the first dimension of data fed to "forward" reflects the batch size
:param association_activation: additional activation to be applied on the result of the Hopfield association
:param dropout: dropout probability applied on the association matrix
:param input_bias: bias to be added to input (state and stored pattern as well as pattern projection)
:param concat_bias_pattern: bias to be concatenated to stored pattern as well as pattern projection
:param add_zero_association: add a new batch of zeros to stored pattern as well as pattern projection
:param disable_out_projection: disable output projection
"""
super(Hopfield, self).__init__()
assert type(batch_first) == bool, f'"batch_first" needs to be a boolean, not {type(batch_first)}.'
assert (association_activation is None) or (type(association_activation) == str)
# Initialise Hopfield association module.
self.association_core = HopfieldCore(
embed_dim=input_size, num_heads=num_heads, dropout=dropout, bias=input_bias,
add_bias_kv=concat_bias_pattern, add_zero_attn=add_zero_association, kdim=stored_pattern_size,
vdim=pattern_projection_size, head_dim=hidden_size, pattern_dim=pattern_size, out_dim=output_size,
disable_out_projection=disable_out_projection, key_as_static=stored_pattern_as_static,
query_as_static=state_pattern_as_static, value_as_static=pattern_projection_as_static,
value_as_connected=pattern_projection_as_connected, normalize_pattern=normalize_hopfield_space,
normalize_pattern_affine=normalize_hopfield_space_affine)
self.association_activation = None
if association_activation is not None:
self.association_activation = getattr(torch, association_activation, None)
# Initialise stored pattern normalization.
self.norm_stored_pattern = None
if normalize_stored_pattern_affine:
assert normalize_stored_pattern, "affine normalization without normalization has no effect."
if normalize_stored_pattern:
self.norm_stored_pattern = nn.LayerNorm(
normalized_shape=self.hidden_size if stored_pattern_as_static else self.association_core.kdim,
elementwise_affine=normalize_stored_pattern_affine)
# Initialise state pattern normalization.
self.norm_state_pattern = None
if normalize_state_pattern_affine:
assert normalize_state_pattern, "affine normalization without normalization has no effect."
if normalize_state_pattern:
self.norm_state_pattern = nn.LayerNorm(
normalized_shape=self.hidden_size if state_pattern_as_static else self.association_core.embed_dim,
elementwise_affine=normalize_state_pattern_affine)
# Initialise pattern projection normalization.
self.norm_pattern_projection = None
if normalize_pattern_projection_affine:
assert normalize_pattern_projection, "affine normalization without normalization has no effect."
if normalize_pattern_projection:
self.norm_pattern_projection = nn.LayerNorm(
normalized_shape=self.hidden_size if pattern_projection_as_static else self.association_core.vdim,
elementwise_affine=normalize_pattern_projection_affine)
# Initialise remaining auxiliary properties.
if self.association_core.static_execution:
self.__scaling = 1.0 if scaling is None else scaling
else:
assert self.association_core.head_dim > 0, f'invalid hidden dimension encountered.'
self.__scaling = (1.0 / sqrt(self.association_core.head_dim)) if scaling is None else scaling
self.__batch_first = batch_first
self.__update_steps_max = update_steps_max
self.__update_steps_eps = update_steps_eps
self.reset_parameters()
def reset_parameters(self) -> None:
"""
Reset Hopfield association.
:return: None
"""
for module in (self.association_core, self.norm_stored_pattern,
self.norm_state_pattern, self.norm_pattern_projection):
if hasattr(module, r'reset_parameters'):
module.reset_parameters()
def _maybe_transpose(self, *args: Tuple[Tensor, ...]) -> Union[Tensor, Tuple[Tensor, ...]]:
"""
Eventually transpose specified data.
:param args: tensors to eventually transpose (dependent on the state of "batch_first")
:return: eventually transposed tensors
"""
transposed_result = tuple(_.transpose(0, 1) for _ in args) if self.__batch_first else args
return transposed_result[0] if len(transposed_result) == 1 else transposed_result
def _associate(self, data: Union[Tensor, Tuple[Tensor, Tensor, Tensor]],
return_raw_associations: bool = False, return_projected_patterns: bool = False,
stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tuple[Optional[Tensor], ...]:
"""
Apply Hopfield association module on specified data.
:param data: data to be processed by Hopfield core module
:param return_raw_associations: return raw association (softmax) values, unmodified
:param return_projected_patterns: return pattern projection values, unmodified
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: Hopfield-processed input data
"""
assert (type(data) == Tensor) or ((type(data) == tuple) and (len(data) == 3)), \
r'either one tensor to be used as "stored pattern", "state pattern" and' \
r' "pattern_projection" must be provided, or three separate ones.'
if type(data) == Tensor:
stored_pattern, state_pattern, pattern_projection = data, data, data
else:
stored_pattern, state_pattern, pattern_projection = data
# Optionally transpose data.
stored_pattern, state_pattern, pattern_projection = self._maybe_transpose(
stored_pattern, state_pattern, pattern_projection)
# Optionally apply stored pattern normalization.
if self.norm_stored_pattern is not None:
stored_pattern = self.norm_stored_pattern(input=stored_pattern.reshape(
shape=(-1, stored_pattern.shape[2]))).reshape(shape=stored_pattern.shape)
# Optionally apply state pattern normalization.
if self.norm_state_pattern is not None:
state_pattern = self.norm_state_pattern(input=state_pattern.reshape(
shape=(-1, state_pattern.shape[2]))).reshape(shape=state_pattern.shape)
# Optionally apply pattern projection normalization.
if self.norm_pattern_projection is not None:
pattern_projection = self.norm_pattern_projection(input=pattern_projection.reshape(
shape=(-1, pattern_projection.shape[2]))).reshape(shape=pattern_projection.shape)
# Apply Hopfield association and optional activation function.
return self.association_core(
query=state_pattern, key=stored_pattern, value=pattern_projection,
key_padding_mask=stored_pattern_padding_mask, need_weights=False, attn_mask=association_mask,
scaling=self.__scaling, update_steps_max=self.__update_steps_max, update_steps_eps=self.__update_steps_eps,
return_raw_associations=return_raw_associations, return_pattern_projections=return_projected_patterns)
def forward(self, input: Union[Tensor, Tuple[Tensor, Tensor, Tensor]],
stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Apply Hopfield association on specified data.
:param input: data to be processed by Hopfield association module
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: Hopfield-processed input data
"""
association_output = self._maybe_transpose(self._associate(
data=input, return_raw_associations=False,
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)[0])
if self.association_activation is not None:
association_output = self.association_activation(association_output)
return association_output
def get_association_matrix(self, input: Union[Tensor, Tuple[Tensor, Tensor, Tensor]],
stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Fetch Hopfield association matrix gathered by passing through the specified data.
:param input: data to be passed through the Hopfield association
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: association matrix as computed by the Hopfield core module
"""
with torch.no_grad():
return self._associate(
data=input, return_raw_associations=True,
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)[2]
def get_projected_pattern_matrix(self, input: Union[Tensor, Tuple[Tensor, Tensor, Tensor]],
stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Fetch Hopfield projected pattern matrix gathered by passing through the specified data.
:param input: data to be passed through the Hopfield association
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: pattern projection matrix as computed by the Hopfield core module
"""
with torch.no_grad():
return self._associate(
data=input, return_projected_patterns=True,
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)[3]
@property
def batch_first(self) -> bool:
return self.__batch_first
@property
def scaling(self) -> Union[float, Tensor]:
return self.__scaling.clone() if type(self.__scaling) == Tensor else self.__scaling
@property
def stored_pattern_dim(self) -> Optional[int]:
return self.association_core.kdim
@property
def state_pattern_dim(self) -> Optional[int]:
return self.association_core.embed_dim
@property
def pattern_projection_dim(self) -> Optional[int]:
return self.association_core.vdim
@property
def input_size(self) -> Optional[int]:
return self.state_pattern_dim
@property
def hidden_size(self) -> Optional[int]:
return self.association_core.head_dim
@property
def output_size(self) -> Optional[int]:
return self.association_core.out_dim
@property
def pattern_size(self) -> Optional[int]:
return self.association_core.pattern_dim
@property
def update_steps_max(self) -> Optional[Union[int, Tensor]]:
return self.__update_steps_max.clone() if type(self.__update_steps_max) == Tensor else self.__update_steps_max
@property
def update_steps_eps(self) -> Optional[Union[float, Tensor]]:
return self.__update_steps_eps.clone() if type(self.__update_steps_eps) == Tensor else self.__update_steps_eps
@property
def stored_pattern_as_static(self) -> bool:
return self.association_core.key_as_static
@property
def state_pattern_as_static(self) -> bool:
return self.association_core.query_as_static
@property
def pattern_projection_as_static(self) -> bool:
return self.association_core.value_as_static
@property
def normalize_stored_pattern(self) -> bool:
return self.norm_stored_pattern is not None
@property
def normalize_stored_pattern_affine(self) -> bool:
return self.normalize_stored_pattern and self.norm_stored_pattern.elementwise_affine
@property
def normalize_state_pattern(self) -> bool:
return self.norm_state_pattern is not None
@property
def normalize_state_pattern_affine(self) -> bool:
return self.normalize_state_pattern and self.norm_state_pattern.elementwise_affine
@property
def normalize_pattern_projection(self) -> bool:
return self.norm_pattern_projection is not None
@property
def normalize_pattern_projection_affine(self) -> bool:
return self.normalize_pattern_projection and self.norm_pattern_projection.elementwise_affine
@property
def normalize_hopfield_space(self) -> bool:
return self.hopfield.normalize_hopfield_space
@property
def normalize_hopfield_space_affine(self) -> bool:
return self.hopfield.normalize_hopfield_space_affine
class HopfieldPooling(Module):
"""
Wrapper class encapsulating a trainable but fixed state pattern and "Hopfield" in
one combined module to be used as a Hopfield-based pooling layer.
"""
def __init__(self,
input_size: int,
hidden_size: Optional[int] = None,
output_size: Optional[int] = None,
pattern_size: Optional[int] = None,
num_heads: int = 1,
scaling: Optional[Union[float, Tensor]] = None,
update_steps_max: Optional[Union[int, Tensor]] = 0,
update_steps_eps: Union[float, Tensor] = 1e-4,
normalize_stored_pattern: bool = True,
normalize_stored_pattern_affine: bool = True,
normalize_state_pattern: bool = True,
normalize_state_pattern_affine: bool = True,
normalize_pattern_projection: bool = True,
normalize_pattern_projection_affine: bool = True,
normalize_hopfield_space: bool = False,
normalize_hopfield_space_affine: bool = False,
stored_pattern_as_static: bool = False,
state_pattern_as_static: bool = False,
pattern_projection_as_static: bool = False,
pattern_projection_as_connected: bool = False,
stored_pattern_size: Optional[int] = None,
pattern_projection_size: Optional[int] = None,
batch_first: bool = True,
association_activation: Optional[str] = None,
dropout: float = 0.0,
input_bias: bool = True,
concat_bias_pattern: bool = False,
add_zero_association: bool = False,
disable_out_projection: bool = False,
quantity: int = 1,
trainable: bool = True
):
"""
Initialise a new instance of a Hopfield-based pooling layer.
:param input_size: depth of the input (state pattern)
:param hidden_size: depth of the association space
:param output_size: depth of the output projection
:param pattern_size: depth of patterns to be selected
:param num_heads: amount of parallel association heads
:param scaling: scaling of association heads, often represented as beta (one entry per head)
:param update_steps_max: maximum count of association update steps (None equals to infinity)
:param update_steps_eps: minimum difference threshold between two consecutive association update steps
:param normalize_stored_pattern: apply normalization on stored patterns
:param normalize_stored_pattern_affine: additionally enable affine normalization of stored patterns
:param normalize_state_pattern: apply normalization on state patterns
:param normalize_state_pattern_affine: additionally enable affine normalization of state patterns
:param normalize_pattern_projection: apply normalization on the pattern projection
:param normalize_pattern_projection_affine: additionally enable affine normalization of pattern projection
:param normalize_hopfield_space: enable normalization of patterns in the Hopfield space
:param normalize_hopfield_space_affine: additionally enable affine normalization of patterns in Hopfield space
:param stored_pattern_as_static: interpret specified stored patterns as being static
:param state_pattern_as_static: interpret specified state patterns as being static
:param pattern_projection_as_static: interpret specified pattern projections as being static
:param pattern_projection_as_connected: connect pattern projection with stored pattern
:param stored_pattern_size: depth of input (stored pattern)
:param pattern_projection_size: depth of input (pattern projection)
:param batch_first: flag for specifying if the first dimension of data fed to "forward" reflects the batch size
:param association_activation: additional activation to be applied on the result of the Hopfield association
:param dropout: dropout probability applied on the association matrix
:param input_bias: bias to be added to input (state and stored pattern as well as pattern projection)
:param concat_bias_pattern: bias to be concatenated to stored pattern as well as pattern projection
:param add_zero_association: add a new batch of zeros to stored pattern as well as pattern projection
:param disable_out_projection: disable output projection
:param quantity: amount of state patterns
:param trainable: state pattern used for pooling is trainable
"""
super(HopfieldPooling, self).__init__()
self.hopfield = Hopfield(
input_size=input_size, hidden_size=hidden_size, output_size=output_size, pattern_size=pattern_size,
num_heads=num_heads, scaling=scaling, update_steps_max=update_steps_max, update_steps_eps=update_steps_eps,
normalize_stored_pattern=normalize_stored_pattern,
normalize_stored_pattern_affine=normalize_stored_pattern_affine,
normalize_state_pattern=normalize_state_pattern,
normalize_state_pattern_affine=normalize_state_pattern_affine,
normalize_pattern_projection=normalize_pattern_projection,
normalize_pattern_projection_affine=normalize_pattern_projection_affine,
normalize_hopfield_space=normalize_hopfield_space,
normalize_hopfield_space_affine=normalize_hopfield_space_affine,
stored_pattern_as_static=stored_pattern_as_static, state_pattern_as_static=state_pattern_as_static,
pattern_projection_as_static=pattern_projection_as_static,
pattern_projection_as_connected=pattern_projection_as_connected, stored_pattern_size=stored_pattern_size,
pattern_projection_size=pattern_projection_size, batch_first=batch_first,
association_activation=association_activation, dropout=dropout, input_bias=input_bias,
concat_bias_pattern=concat_bias_pattern, add_zero_association=add_zero_association,
disable_out_projection=disable_out_projection)
self._quantity = quantity
pooling_weight_size = self.hopfield.hidden_size if state_pattern_as_static else self.hopfield.input_size
self.pooling_weights = nn.Parameter(torch.empty(size=(*(
(1, quantity) if batch_first else (quantity, 1)
), input_size if pooling_weight_size is None else pooling_weight_size)), requires_grad=trainable)
self.reset_parameters()
def reset_parameters(self) -> None:
"""
Reset pooling weights and underlying Hopfield association.
:return: None
"""
if hasattr(self.hopfield, r'reset_parameters'):
self.hopfield.reset_parameters()
# Explicitly initialise pooling weights.
nn.init.normal_(self.pooling_weights, mean=0.0, std=0.02)
def _prepare_input(self, input: Union[Tensor, Tuple[Tensor, Tensor]]) -> Tuple[Tensor, Tensor, Tensor]:
"""
Prepare input for Hopfield association.
:param input: data to be prepared
:return: stored pattern, expanded state pattern as well as pattern projection
"""
assert (type(input) == Tensor) or ((type(input) == tuple) and (len(input) == 2)), \
r'either one tensor to be used as "stored pattern" and' \
r' "pattern_projection" must be provided, or two separate ones.'
if type(input) == Tensor:
stored_pattern, pattern_projection = input, input
else:
stored_pattern, pattern_projection = input
batch_size = stored_pattern.shape[0 if self.batch_first else 1]
return stored_pattern, self.pooling_weights.expand(size=(*(
(batch_size, self.quantity) if self.batch_first else (self.quantity, batch_size)
), self.pooling_weights.shape[2])), pattern_projection
def forward(self, input: Union[Tensor, Tuple[Tensor, Tensor]], stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Compute Hopfield-based pooling on specified data.
:param input: data to be pooled
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: Hopfield-pooled input data
"""
return self.hopfield(
input=self._prepare_input(input=input),
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask).flatten(start_dim=1)
def get_association_matrix(self, input: Union[Tensor, Tuple[Tensor, Tensor]],
stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Fetch Hopfield association matrix used for pooling gathered by passing through the specified data.
:param input: data to be passed through the Hopfield association
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: association matrix as computed by the Hopfield core module
"""
with torch.no_grad():
return self.hopfield.get_association_matrix(
input=self._prepare_input(input=input),
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)
def get_projected_pattern_matrix(self, input: Union[Tensor, Tuple[Tensor, Tensor]],
stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Fetch Hopfield projected pattern matrix gathered by passing through the specified data.
:param input: data to be passed through the Hopfield association
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: pattern projection matrix as computed by the Hopfield core module
"""
with torch.no_grad():
return self.hopfield.get_projected_pattern_matrix(
input=self._prepare_input(input=input),
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)
@property
def batch_first(self) -> bool:
return self.hopfield.batch_first
@property
def scaling(self) -> Union[float, Tensor]:
return self.hopfield.scaling
@property
def stored_pattern_dim(self) -> Optional[int]:
return self.hopfield.stored_pattern_dim
@property
def state_pattern_dim(self) -> Optional[int]:
return self.hopfield.state_pattern_dim
@property
def pattern_projection_dim(self) -> Optional[int]:
return self.hopfield.pattern_projection_dim
@property
def input_size(self) -> Optional[int]:
return self.hopfield.input_size
@property
def hidden_size(self) -> int:
return self.hopfield.hidden_size
@property
def output_size(self) -> Optional[int]:
return self.hopfield.output_size
@property
def pattern_size(self) -> Optional[int]:
return self.hopfield.pattern_size
@property
def quantity(self) -> int:
return self._quantity
@property
def update_steps_max(self) -> Optional[Union[int, Tensor]]:
return self.hopfield.update_steps_max
@property
def update_steps_eps(self) -> Optional[Union[float, Tensor]]:
return self.hopfield.update_steps_eps
@property
def stored_pattern_as_static(self) -> bool:
return self.hopfield.stored_pattern_as_static
@property
def state_pattern_as_static(self) -> bool:
return self.hopfield.state_pattern_as_static
@property
def pattern_projection_as_static(self) -> bool:
return self.hopfield.pattern_projection_as_static
@property
def normalize_stored_pattern(self) -> bool:
return self.hopfield.normalize_stored_pattern
@property
def normalize_stored_pattern_affine(self) -> bool:
return self.hopfield.normalize_stored_pattern_affine
@property
def normalize_state_pattern(self) -> bool:
return self.hopfield.normalize_state_pattern
@property
def normalize_state_pattern_affine(self) -> bool:
return self.hopfield.normalize_state_pattern_affine
@property
def normalize_pattern_projection(self) -> bool:
return self.hopfield.normalize_pattern_projection
@property
def normalize_pattern_projection_affine(self) -> bool:
return self.hopfield.normalize_pattern_projection_affine
class HopfieldLayer(Module):
"""
Wrapper class encapsulating a trainable but fixed stored pattern, pattern projection and "Hopfield" in
one combined module to be used as a Hopfield-based pooling layer.
"""
def __init__(self,
input_size: int,
hidden_size: Optional[int] = None,
output_size: Optional[int] = None,
pattern_size: Optional[int] = None,
num_heads: int = 1,
scaling: Optional[Union[float, Tensor]] = None,
update_steps_max: Optional[Union[int, Tensor]] = 0,
update_steps_eps: Union[float, Tensor] = 1e-4,
lookup_weights_as_separated: bool = False,
lookup_targets_as_trainable: bool = True,
normalize_stored_pattern: bool = True,
normalize_stored_pattern_affine: bool = True,
normalize_state_pattern: bool = True,
normalize_state_pattern_affine: bool = True,
normalize_pattern_projection: bool = True,
normalize_pattern_projection_affine: bool = True,
normalize_hopfield_space: bool = False,
normalize_hopfield_space_affine: bool = False,
stored_pattern_as_static: bool = False,
state_pattern_as_static: bool = False,
pattern_projection_as_static: bool = False,
pattern_projection_as_connected: bool = False,
stored_pattern_size: Optional[int] = None,
pattern_projection_size: Optional[int] = None,
batch_first: bool = True,
association_activation: Optional[str] = None,
dropout: float = 0.0,
input_bias: bool = True,
concat_bias_pattern: bool = False,
add_zero_association: bool = False,
disable_out_projection: bool = False,
quantity: int = 1,
trainable: bool = True
):
"""
Initialise a new instance of a Hopfield-based lookup layer.
:param input_size: depth of the input (state pattern)
:param hidden_size: depth of the association space
:param output_size: depth of the output projection
:param pattern_size: depth of patterns to be selected
:param num_heads: amount of parallel association heads
:param scaling: scaling of association heads, often represented as beta (one entry per head)
:param update_steps_max: maximum count of association update steps (None equals to infinity)
:param update_steps_eps: minimum difference threshold between two consecutive association update steps
:param lookup_weights_as_separated: separate lookup weights from lookup target weights
:param lookup_targets_as_trainable: employ trainable lookup target weights (used as pattern projection input)
:param normalize_stored_pattern: apply normalization on stored patterns
:param normalize_stored_pattern_affine: additionally enable affine normalization of stored patterns
:param normalize_state_pattern: apply normalization on state patterns
:param normalize_state_pattern_affine: additionally enable affine normalization of state patterns
:param normalize_pattern_projection: apply normalization on the pattern projection
:param normalize_pattern_projection_affine: additionally enable affine normalization of pattern projection
:param normalize_hopfield_space: enable normalization of patterns in the Hopfield space
:param normalize_hopfield_space_affine: additionally enable affine normalization of patterns in Hopfield space
:param stored_pattern_as_static: interpret specified stored patterns as being static
:param state_pattern_as_static: interpret specified state patterns as being static
:param pattern_projection_as_static: interpret specified pattern projections as being static
:param pattern_projection_as_connected: connect pattern projection with stored pattern
:param stored_pattern_size: depth of input (stored pattern)
:param pattern_projection_size: depth of input (pattern projection)
:param batch_first: flag for specifying if the first dimension of data fed to "forward" reflects the batch size
:param association_activation: additional activation to be applied on the result of the Hopfield association
:param dropout: dropout probability applied on the association matrix
:param input_bias: bias to be added to input (state and stored pattern as well as pattern projection)
:param concat_bias_pattern: bias to be concatenated to stored pattern as well as pattern projection
:param add_zero_association: add a new batch of zeros to stored pattern as well as pattern projection
:param disable_out_projection: disable output projection
:param quantity: amount of stored patterns
:param trainable: stored pattern used for lookup is trainable
"""
super(HopfieldLayer, self).__init__()
self.hopfield = Hopfield(
input_size=input_size, hidden_size=hidden_size, output_size=output_size, pattern_size=pattern_size,
num_heads=num_heads, scaling=scaling, update_steps_max=update_steps_max, update_steps_eps=update_steps_eps,
normalize_stored_pattern=normalize_stored_pattern,
normalize_stored_pattern_affine=normalize_stored_pattern_affine,
normalize_state_pattern=normalize_state_pattern,
normalize_state_pattern_affine=normalize_state_pattern_affine,
normalize_pattern_projection=normalize_pattern_projection,
normalize_pattern_projection_affine=normalize_pattern_projection_affine,
normalize_hopfield_space=normalize_hopfield_space,
normalize_hopfield_space_affine=normalize_hopfield_space_affine,
stored_pattern_as_static=stored_pattern_as_static, state_pattern_as_static=state_pattern_as_static,
pattern_projection_as_static=pattern_projection_as_static,
pattern_projection_as_connected=pattern_projection_as_connected, stored_pattern_size=stored_pattern_size,
pattern_projection_size=pattern_projection_size, batch_first=batch_first,
association_activation=association_activation, dropout=dropout, input_bias=input_bias,
concat_bias_pattern=concat_bias_pattern, add_zero_association=add_zero_association,
disable_out_projection=disable_out_projection)
self._quantity = quantity
lookup_weight_size = self.hopfield.hidden_size if stored_pattern_as_static else self.hopfield.stored_pattern_dim
self.lookup_weights = nn.Parameter(torch.empty(size=(*(
(1, quantity) if batch_first else (quantity, 1)
), input_size if lookup_weight_size is None else lookup_weight_size)), requires_grad=trainable)
if lookup_weights_as_separated:
target_weight_size = self.lookup_weights.shape[
2] if pattern_projection_size is None else pattern_projection_size
self.target_weights = nn.Parameter(torch.empty(size=(*(
(1, quantity) if batch_first else (quantity, 1)
), target_weight_size)), requires_grad=lookup_targets_as_trainable)
else:
self.register_parameter(name=r'target_weights', param=None)
self.reset_parameters()
def reset_parameters(self) -> None:
"""
Reset lookup and lookup target weights, including underlying Hopfield association.
:return: None
"""
if hasattr(self.hopfield, r'reset_parameters'):
self.hopfield.reset_parameters()
# Explicitly initialise lookup and target weights.
nn.init.normal_(self.lookup_weights, mean=0.0, std=0.02)
if self.target_weights is not None:
nn.init.normal_(self.target_weights, mean=0.0, std=0.02)
def _prepare_input(self, input: Tensor) -> Tuple[Tensor, Tensor, Tensor]:
"""
Prepare input for Hopfield association.
:param input: data to be prepared
:return: stored pattern, expanded state pattern as well as pattern projection
"""
batch_size = input.shape[0 if self.batch_first else 1]
stored_pattern = self.lookup_weights.expand(size=(*(
(batch_size, self.quantity) if self.batch_first else (self.quantity, batch_size)
), self.lookup_weights.shape[2]))
if self.target_weights is None:
pattern_projection = stored_pattern
else:
pattern_projection = self.target_weights.expand(size=(*(
(batch_size, self.quantity) if self.batch_first else (self.quantity, batch_size)
), self.target_weights.shape[2]))
return stored_pattern, input, pattern_projection
def forward(self, input: Tensor, stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Compute Hopfield-based lookup on specified data.
:param input: data to used in lookup
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: result of Hopfield-based lookup on input data
"""
return self.hopfield(
input=self._prepare_input(input=input),
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)
def get_association_matrix(self, input: Tensor, stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Fetch Hopfield association matrix used for lookup gathered by passing through the specified data.
:param input: data to be passed through the Hopfield association
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: association matrix as computed by the Hopfield core module
"""
with torch.no_grad():
return self.hopfield.get_association_matrix(
input=self._prepare_input(input=input),
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)
def get_projected_pattern_matrix(self, input: Union[Tensor, Tuple[Tensor, Tensor]],
stored_pattern_padding_mask: Optional[Tensor] = None,
association_mask: Optional[Tensor] = None) -> Tensor:
"""
Fetch Hopfield projected pattern matrix gathered by passing through the specified data.
:param input: data to be passed through the Hopfield association
:param stored_pattern_padding_mask: mask to be applied on stored patterns
:param association_mask: mask to be applied on inner association matrix
:return: pattern projection matrix as computed by the Hopfield core module
"""
with torch.no_grad():
return self.hopfield.get_projected_pattern_matrix(
input=self._prepare_input(input=input),
stored_pattern_padding_mask=stored_pattern_padding_mask,
association_mask=association_mask)
@property
def batch_first(self) -> bool:
return self.hopfield.batch_first
@property
def scaling(self) -> Union[float, Tensor]:
return self.hopfield.scaling
@property
def stored_pattern_dim(self) -> Optional[int]:
return self.hopfield.stored_pattern_dim
@property
def state_pattern_dim(self) -> Optional[int]:
return self.hopfield.state_pattern_dim
@property
def pattern_projection_dim(self) -> Optional[int]:
return self.hopfield.pattern_projection_dim
@property
def input_size(self) -> Optional[int]:
return self.hopfield.input_size
@property
def hidden_size(self) -> int:
return self.hopfield.hidden_size
@property
def output_size(self) -> Optional[int]:
return self.hopfield.output_size
@property
def pattern_size(self) -> Optional[int]:
return self.hopfield.pattern_size
@property
def quantity(self) -> int:
return self._quantity
@property
def update_steps_max(self) -> Optional[Union[int, Tensor]]:
return self.hopfield.update_steps_max
@property
def update_steps_eps(self) -> Optional[Union[float, Tensor]]:
return self.hopfield.update_steps_eps
@property
def stored_pattern_as_static(self) -> bool:
return self.hopfield.stored_pattern_as_static
@property
def state_pattern_as_static(self) -> bool:
return self.hopfield.state_pattern_as_static
@property
def pattern_projection_as_static(self) -> bool:
return self.hopfield.pattern_projection_as_static
@property
def normalize_stored_pattern(self) -> bool:
return self.hopfield.normalize_stored_pattern
@property
def normalize_stored_pattern_affine(self) -> bool:
return self.hopfield.normalize_stored_pattern_affine
@property
def normalize_state_pattern(self) -> bool:
return self.hopfield.normalize_state_pattern
@property
def normalize_state_pattern_affine(self) -> bool:
return self.hopfield.normalize_state_pattern_affine
@property
def normalize_pattern_projection(self) -> bool:
return self.hopfield.normalize_pattern_projection
@property
def normalize_pattern_projection_affine(self) -> bool:
return self.hopfield.normalize_pattern_projection_affine
| 49.794872
| 120
| 0.694757
| 5,222
| 44,666
| 5.667369
| 0.047108
| 0.068086
| 0.029194
| 0.031627
| 0.850853
| 0.815003
| 0.783342
| 0.76496
| 0.748099
| 0.722892
| 0
| 0.002071
| 0.24325
| 44,666
| 896
| 121
| 49.850446
| 0.873495
| 0.289706
| 0
| 0.689464
| 0
| 0
| 0.019154
| 0
| 0
| 0
| 0
| 0
| 0.014787
| 1
| 0.15342
| false
| 0
| 0.012939
| 0.118299
| 0.314233
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 7
|
9ed10835d366ce1ba65ae31192d030850d57baf5
| 9,973
|
py
|
Python
|
router/city_visit_heap_test.py
|
awesome-archive/city_visit_planner
|
20befca3d70db61bc83356eedd490a298b27f96f
|
[
"MIT"
] | 1
|
2019-11-14T22:08:59.000Z
|
2019-11-14T22:08:59.000Z
|
router/city_visit_heap_test.py
|
sandoche/city_visit_planner
|
20befca3d70db61bc83356eedd490a298b27f96f
|
[
"MIT"
] | null | null | null |
router/city_visit_heap_test.py
|
sandoche/city_visit_planner
|
20befca3d70db61bc83356eedd490a298b27f96f
|
[
"MIT"
] | null | null | null |
import unittest
from data import city_visit as city_visit_
from router import city_visit_heap as city_visit_heap_
from router import city_visit_points_left
class MockDayVisitParameters(city_visit_.DayVisitParametersInterface):
def __init__(self, hash_key):
assert isinstance(hash_key, str)
self.hash_key = hash_key
def DatelessHashKey(self):
return self.hash_key
class MockDayVisit(city_visit_.DayVisitInterface):
def __init__(self, hash_key):
assert isinstance(hash_key, str)
self.hash_key = hash_key
def DatelessHashKey(self):
return self.hash_key
def MockCityVisitPointsLeft(day_visit_hash_keys, cost):
assert isinstance(day_visit_hash_keys, list)
assert isinstance(cost, float)
city_visit = city_visit_.CityVisit(
[MockDayVisit(day_visit_hash_key)
for day_visit_hash_key in day_visit_hash_keys],
city_visit_.CityVisitSummary(cost, 0.))
return city_visit_points_left.CityVisitPointsLeft(city_visit, [])
class CityVisitHeapTest(unittest.TestCase):
def testGeneral(self):
city_visit_heap = city_visit_heap_.CityVisitHeap(3, [MockDayVisitParameters('par')])
self.assertEqual(0, city_visit_heap.Size())
self.assertEqual([], city_visit_heap.GetCityVisitPointsLeftList())
visit_a = MockCityVisitPointsLeft(['a'], 10.)
city_visit_heap.PushCityVisit(visit_a)
self.assertEqual(1, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_b = MockCityVisitPointsLeft(['b'], 5.)
city_visit_heap.PushCityVisit(visit_b)
self.assertEqual(2, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_c = MockCityVisitPointsLeft(['c'], 7.)
city_visit_heap.PushCityVisit(visit_c)
self.assertEqual(3, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
city_visit_heap.Shrink()
self.assertEqual(3, city_visit_heap.Size())
self.assertEqual([visit_b, visit_c, visit_a],
city_visit_heap.GetCityVisitPointsLeftList())
visit_d = MockCityVisitPointsLeft(['d'], 3.)
city_visit_heap.PushCityVisit(visit_d)
self.assertEqual(4, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_e = MockCityVisitPointsLeft(['e'], 15.)
city_visit_heap.PushCityVisit(visit_e)
self.assertEqual(5, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
city_visit_heap.Shrink()
self.assertEqual(3, city_visit_heap.Size())
self.assertEqual([visit_d, visit_b, visit_c],
city_visit_heap.GetCityVisitPointsLeftList())
city_visit_heap.Clear()
self.assertEqual(0, city_visit_heap.Size())
self.assertEqual([], city_visit_heap.GetCityVisitPointsLeftList())
def testAddingSameOrderlessHashKeyShrink(self):
city_visit_heap = city_visit_heap_.CityVisitHeap(3, [MockDayVisitParameters('par')])
self.assertEqual(0, city_visit_heap.Size())
self.assertEqual([], city_visit_heap.GetCityVisitPointsLeftList())
visit_a = MockCityVisitPointsLeft(['adf'], 10.)
city_visit_heap.PushCityVisit(visit_a)
self.assertEqual(1, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_b = MockCityVisitPointsLeft(['bc'], 5.)
city_visit_heap.PushCityVisit(visit_b)
self.assertEqual(2, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_c = MockCityVisitPointsLeft(['bc'], 7.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_c) # cost higher.
self.assertEqual(2, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
city_visit_heap.Shrink()
self.assertEqual(2, city_visit_heap.Size())
self.assertEqual([visit_b, visit_a],
city_visit_heap.GetCityVisitPointsLeftList())
visit_d = MockCityVisitPointsLeft(['adf'], 3.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_d) # const lower.
self.assertEqual(2, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
city_visit_heap.Shrink()
self.assertEqual(2, city_visit_heap.Size())
self.assertEqual([visit_d, visit_b],
city_visit_heap.GetCityVisitPointsLeftList())
visit_e = MockCityVisitPointsLeft(['eg'], 15.)
city_visit_heap.PushCityVisit(visit_e)
self.assertEqual(3, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
city_visit_heap.Shrink()
self.assertEqual(3, city_visit_heap.Size())
self.assertEqual([visit_d, visit_b, visit_e],
city_visit_heap.GetCityVisitPointsLeftList())
visit_f = MockCityVisitPointsLeft(['adf'], 1.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_f) # const lower.
self.assertEqual(3, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_g = MockCityVisitPointsLeft(['eg'], 12.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_g) # const lower.
self.assertEqual(3, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
city_visit_heap.Shrink()
self.assertEqual(3, city_visit_heap.Size())
self.assertEqual([visit_f, visit_b, visit_g],
city_visit_heap.GetCityVisitPointsLeftList())
city_visit_heap.Clear()
self.assertEqual(0, city_visit_heap.Size())
self.assertEqual([], city_visit_heap.GetCityVisitPointsLeftList())
def testAddingSameOrderlessHashKeyNoShrink(self):
city_visit_heap = city_visit_heap_.CityVisitHeap(3, [MockDayVisitParameters('par')])
self.assertEqual(0, city_visit_heap.Size())
self.assertEqual([], city_visit_heap.GetCityVisitPointsLeftList())
visit_a = MockCityVisitPointsLeft(['adf'], 10.)
city_visit_heap.PushCityVisit(visit_a)
self.assertEqual(1, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_b = MockCityVisitPointsLeft(['bc'], 5.)
city_visit_heap.PushCityVisit(visit_b)
self.assertEqual(2, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_c = MockCityVisitPointsLeft(['bc'], 7.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_c) # cost higher.
self.assertEqual(2, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_d = MockCityVisitPointsLeft(['adf'], 3.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_d) # const lower.
self.assertEqual(2, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_e = MockCityVisitPointsLeft(['eg'], 15.)
city_visit_heap.PushCityVisit(visit_e)
self.assertEqual(3, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_f = MockCityVisitPointsLeft(['adf'], 1.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_f) # const lower.
self.assertEqual(3, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
visit_g = MockCityVisitPointsLeft(['eg'], 12.) # Same day_visit_hash_keys.
city_visit_heap.PushCityVisit(visit_g) # const lower.
self.assertEqual(3, city_visit_heap.Size())
self.assertRaises(AssertionError,
city_visit_heap.GetCityVisitPointsLeftList)
city_visit_heap.Shrink()
self.assertEqual(3, city_visit_heap.Size())
self.assertEqual([visit_f, visit_b, visit_g],
city_visit_heap.GetCityVisitPointsLeftList())
city_visit_heap.Clear()
self.assertEqual(0, city_visit_heap.Size())
self.assertEqual([], city_visit_heap.GetCityVisitPointsLeftList())
def testCityVisitOrderlessHashKey(self):
city_visit_heap_a = city_visit_heap_.CityVisitHeap(3, [
MockDayVisitParameters('parX'), MockDayVisitParameters('parY')])
city_visit_heap_b = city_visit_heap_.CityVisitHeap(3, [
MockDayVisitParameters('parY'), MockDayVisitParameters('parX')])
visit_a = MockCityVisitPointsLeft(['dayX', 'dayY'], 10.)
visit_b = MockCityVisitPointsLeft(['dayY', 'dayX'], 10.)
# Same pairs of day_visit_parameters and day_visit, but different order.
self.assertEqual(city_visit_heap_a._CityVisitDatelessHashKey(visit_a),
city_visit_heap_b._CityVisitDatelessHashKey(visit_b))
# Same here.
self.assertEqual(city_visit_heap_a._CityVisitDatelessHashKey(visit_b),
city_visit_heap_b._CityVisitDatelessHashKey(visit_a))
# Parameterss are different for the same day_visits.
self.assertNotEqual(city_visit_heap_a._CityVisitDatelessHashKey(visit_a),
city_visit_heap_b._CityVisitDatelessHashKey(visit_a))
# Day_visits are different for the same parameterss.
self.assertNotEqual(city_visit_heap_a._CityVisitDatelessHashKey(visit_a),
city_visit_heap_a._CityVisitDatelessHashKey(visit_b))
if __name__ == '__main__':
unittest.main()
| 41.041152
| 88
| 0.720345
| 1,093
| 9,973
| 6.201281
| 0.089661
| 0.163323
| 0.216731
| 0.08026
| 0.864562
| 0.850693
| 0.823104
| 0.811744
| 0.800974
| 0.780909
| 0
| 0.008468
| 0.182994
| 9,973
| 242
| 89
| 41.210744
| 0.823392
| 0.049634
| 0
| 0.768817
| 0
| 0
| 0.009306
| 0
| 0
| 0
| 0
| 0
| 0.387097
| 1
| 0.048387
| false
| 0
| 0.021505
| 0.010753
| 0.102151
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
9ef4f18a543a01acd015667c4b26335039afc45c
| 153
|
py
|
Python
|
exercicio4/nums.py
|
laurocruz/MC733
|
2b29ab120d7c9a3bb679a5c8f746bfcebbf8e924
|
[
"MIT"
] | null | null | null |
exercicio4/nums.py
|
laurocruz/MC733
|
2b29ab120d7c9a3bb679a5c8f746bfcebbf8e924
|
[
"MIT"
] | null | null | null |
exercicio4/nums.py
|
laurocruz/MC733
|
2b29ab120d7c9a3bb679a5c8f746bfcebbf8e924
|
[
"MIT"
] | null | null | null |
n = 200
print(str(n))
for i in range(1,(n**2)+1):
print(str(i), end=' ')
print()
for i in range(1,(n**2)+1):
print(str(i), end=' ')
print()
| 10.928571
| 27
| 0.503268
| 31
| 153
| 2.483871
| 0.354839
| 0.311688
| 0.155844
| 0.285714
| 0.831169
| 0.831169
| 0.831169
| 0.831169
| 0.831169
| 0.831169
| 0
| 0.075
| 0.215686
| 153
| 13
| 28
| 11.769231
| 0.566667
| 0
| 0
| 0.75
| 0
| 0
| 0.013245
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.625
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 10
|
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